SSS – Soil System Sciences

EGU22-3542 | Presentations | MAL24 | SSS Division Outstanding ECS Award Lecture

Forest soils under threat too. 

Diana Vieira

Forest soils are undeniably recognized to help deliver essential ecosystem services. Nevertheless this provision is facing serious threats at a moment we need forests the most. The increasing frequency of fire-prone weather conditions in the EU such as the ones causing exceptional wildfire scars in 2017 (San-Miguel-Ayanz et al., 2018), combined with extreme climate demands (IPCC, 2021) and an escalation of forest mechanisation driven by a systematic increase in the use of forest products (EUROSTAT, 2021), have been putting  EU forest soils to a new level of pressure. As a result, key ecosystem services such as clean water provision and flood control, habitats for life and biodiversity,  biomass provision and carbon sinks, are at stake.

On the other hand, several positive policy initiatives have been initiated under the umbrella of the European Green deal, such as the EU Forest and Biodiversity strategies for 2030. These aim for more healthy, diverse and resilient EU forests, ensuring we can count on their contribution for the most recent climate and biodiversity ambitions. Such initiatives combined with the new EU Soil Strategy should underpin a new era of ecosystems resilience and halt the latest land degradation trends. But the question remains: what is the current state of the EU forest soils after so many years of coexistence with the Europeans?

This presentations aims to provide an overall perspective on current threats affecting forest soils. Issues such as recurrent wildfires, inappropriate land management, land use and land cover changes are all sides of the same coin. Not surprisingly these will lead to land degradation, triggered most frequently by soil erosion. In addition, this paper will identify several misconceptions driven by remote sensing based assessments, such as the identification of good soil conditions under vigorous leaf area indexes, or the consideration of good soil management practices in all forest terraces.

With this argumentation the author hopes to trigger a healthy discussion on the idea that our EU forest soils are not in their best shape, and they too need to be cared for and managed. 

How to cite: Vieira, D.: Forest soils under threat too., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3542, https://doi.org/10.5194/egusphere-egu22-3542, 2022.

EGU22-13569 | Presentations | MAL24 | Philippe Duchaufour Medal Lecture

Belowground allocation and dynamics of recently fixed plant carbon in a California annual grassland 

Mary Firestone, Christina Fossum, Katerina Estera-Molina, Mengting Yuan, Don Herman, Ilexis Chu-Jacoby, Peter Nico, Keith Morrison, and Jennifer Pett-Ridge

Plant roots and the organisms that surround them are a primary source for stabilized soil organic carbon (SOC). While grassland soils have a large capacity to store organic carbon (C), few field-based studies have quantified the amount of plant-fixed C that moves into soil and persists belowground over multiple years. Yet this characteristic of the soil C cycle is critical to C storage, soil water holding capacity and nutrient provisions, and the management of soil health. We tracked the fate of plant-fixed C following a five-day 13CO2labeling of a Northern California annual grassland, measuring C pools starting at the end of the labeling period, at three days, four weeks, six months, one year, and two years. Soil organic carbon was fractionated using a density-based approach to separate the free-light fraction (FLF), occluded-light fraction (OLF), and heavy fraction (HF). Using isotope ratio mass spectrometry, we measured 13C enrichment and total C content for plant shoots, roots, soil, soil dissolved organic carbon (DOC), and the FLF, OLF, and HF. The chemical nature of C in the HF was further analyzed by solid state 13C nuclear magnetic resonance (NMR) spectroscopy.
At the end of the labeling period, a substantial portion of the
13C (40%) was already found belowground in roots, soil, and soil DOC. By 4 weeks, the highest isotope enrichment and 27% of the total amount of 13C remaining in the system was associated with the mineral-rich HF. At the 6-month sampling—after the dry summer period during which plants senesced and died—the amount of label in the FLF increased to an amount similar to that in the HF. The FLF 13C then declined substantially by 1 year and further decreased in the 2ndyear. By the end of the 2-year experiment, 67% of remaining label was in the HF, with 19% in the FLF and 14% in the OLF.
While the
13C content in the HF was stable over the final year, the chemical forms associated with the HF evolved with time. The relative proportion of aliphatic/alkyl C functional groups declined in the newly formed SOC over the 2-years in the field; simultaneously, aromatic and carbonyl/carboxylic C functional groups increased and the proportion of carbohydrate (O-alkyl C) groups remained relatively constant.
Our results indicate that plant-fixed C moved into soil within days of its fixation and was associated with the soil mineral fraction within weeks. While most of the annual plant C input in these grasslands cycles rapidly (<2-year timescale), a sizeable proportion (about 23% of the
13C present at day 0) persisted in the soil for longer than 2 years. While decadal studies would allow improved assessment of the long-term stabilization of newly fixed plant C, our 2-year field study reveals surprisingly rapid movement of plant C into the HF of soil, followed by subsequent evolution of the chemical forms of organic C in the HF.

How to cite: Firestone, M., Fossum, C., Estera-Molina, K., Yuan, M., Herman, D., Chu-Jacoby, I., Nico, P., Morrison, K., and Pett-Ridge, J.: Belowground allocation and dynamics of recently fixed plant carbon in a California annual grassland, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13569, https://doi.org/10.5194/egusphere-egu22-13569, 2022.

SSS1 – History, Education and Society of Soil Science

EGU22-2024 | Presentations | ITS3.1/SSS1.2 | Highlight

Understanding natural hazards in a changing landscape: A citizen science approach in Kigezi highlands, southwestern Uganda 

Violet Kanyiginya, Ronald Twongyirwe, Grace Kagoro, David Mubiru, Matthieu Kervyn, and Olivier Dewitte

The Kigezi highlands, southwestern Uganda, is a mountainous tropical region with a high population density, intense rainfall, alternating wet and dry seasons and high weathering rates. As a result, the region is regularly affected by multiple natural hazards such as landslides, floods, heavy storms, and earthquakes. In addition, deforestation and land use changes are assumed to have an influence on the patterns of natural hazards and their impacts in the region. Landscape characteristics and dynamics controlling the occurrence and the spatio-temporal distribution of natural hazards in the region remain poorly understood. In this study, citizen science has been employed to document and understand the spatial and temporal occurrence of natural hazards that affect the Kigezi highlands in relation to the multi-decadal landscape change of the region. We present the methodological research framework involving three categories of participatory citizen scientists. First, a network of 15 geo-observers (i.e., citizens of local communities distributed across representative landscapes of the study area) was established in December 2019. The geo-observers were trained at using smartphones to collect information (processes and impacts) on eight different natural hazards occurring across their parishes. In a second phase, eight river watchers were selected at watershed level to monitor the stream flow characteristics. These watchers record stream water levels once daily and make flood observations. In both categories, validation and quality checks are done on the collected data for further analysis. Combining with high resolution rainfall monitoring using rain gauges installed in the watersheds, the data are expected to characterize catchment response to flash floods. Lastly, to reconstruct the historical landscape change and natural hazards occurrences in the region, 96 elderly citizens (>70 years of age) were engaged through interviews and focus group discussions to give an account of the evolution of their landscape over the past 60 years. We constructed a historical timeline for the region to complement the participatory mapping and in-depth interviews with the elderly citizens. During the first 24 months of the project, 240 natural hazard events with accurate timing information have been reported by the geo-observers. Conversion from natural tree species to exotic species, increased cultivation of hillslopes, road construction and abandonment of terraces and fallowing practices have accelerated natural hazards especially flash floods and landslides in the region. Complementing with the region’s historical photos of 1954 and satellite images, major landscape dynamics have been detected. The ongoing data collection involving detailed ground-based observations with citizens shows a promising trend in the generation of new knowledge about natural hazards in the region.

How to cite: Kanyiginya, V., Twongyirwe, R., Kagoro, G., Mubiru, D., Kervyn, M., and Dewitte, O.: Understanding natural hazards in a changing landscape: A citizen science approach in Kigezi highlands, southwestern Uganda, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2024, https://doi.org/10.5194/egusphere-egu22-2024, 2022.

EGU22-2929 | Presentations | ITS3.1/SSS1.2

Possible Contributions of Citizen Science in the Development of the Next Generation of City Climate Services 

Peter Dietrich, Uta Ködel, Sophia Schütze, Felix Schmidt, Fabian Schütze, Aletta Bonn, Thora Herrmann, and Claudia Schütze

Human life in cities is already affected by climate change. The effects will become even more pronounced in the coming years and decades. Next-generation of city climate services is necessary for adapting infrastructures and the management of services of cities to climate change. These services are based on advanced weather forecast models and the access to diverse data. It is essential to keep in mind that each citizen is a unique individual with their own peculiarities, preferences, and behaviors. The base for our approach is the individual specific exposure, which considers that people perceive the same conditions differently in terms of their well-being. Individual specific exposure can be defined as the sum of all environmental conditions that affect humans during a given period of time, in a specific location, and in a specific context. Thereby, measurable abiotic parameters such as temperature, humidity, wind speed, pollution and noise are used to characterize the environmental conditions. Additional information regarding green spaces, trees, parks, kinds of streets and buildings, as well as available infrastructures are included in the context. The recording and forecasting of environmental parameters while taking into account the context, as well as the presentation of this information in easy-to-understand and easy-to-use maps, are critical for influencing human behavior and implementing appropriate climate change adaptation measures.

We will adopt this approach within the frame of the recently started, EU-funded CityCLIM project. We aim to develop and implement approaches which will explore the potential of citizen science in terms of current and historical data collecting, data quality assessment and evaluation of data products.  In addition, our approach will also provide strategies for individual climate data use, and the derivation and evaluation of climate change adaptation actions in cities.

In a first step we need to define and to characterize the different potential stakeholder groups involved in citizen science data collection. Citizen science offers approaches that consider citizens as both  organized target groups (e.g., engaged companies, schools) and individual persons (e.g. hobby scientists). An important point to be investigated is the motivation of citizen science stakehoder groups to sustainably collect data and make it available to science and reward them accordingly. For that purpose, strategic tools, such as value proposition canvas analysis, will be applied to taylor the science-to-business and the science-to-customer communications and offers in terms of the individual needs.

How to cite: Dietrich, P., Ködel, U., Schütze, S., Schmidt, F., Schütze, F., Bonn, A., Herrmann, T., and Schütze, C.: Possible Contributions of Citizen Science in the Development of the Next Generation of City Climate Services, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2929, https://doi.org/10.5194/egusphere-egu22-2929, 2022.

EGU22-4168 | Presentations | ITS3.1/SSS1.2

Extending Rapid Image Classification with the Picture Pile Platform for Citizen Science 

Tobias Sturn, Linda See, Steffen Fritz, Santosh Karanam, and Ian McCallum

Picture Pile is a flexible web-based and mobile application for ingesting imagery from satellites, orthophotos, unmanned aerial vehicles and/or geotagged photographs for rapid classification by volunteers. Since 2014, there have been 16 different crowdsourcing campaigns run with Picture Pile, which has involved more than 4000 volunteers who have classified around 11.5 million images. Picture Pile is based on a simple mechanic in which users view an image and then answer a question, e.g., do you see oil palm, with a simple yes, no or maybe answer by swiping the image to the right, left or downwards, respectively. More recently, Picture Pile has been modified to classify data into categories (e.g., crop types) as well as continuous variables (e.g., degree of wealth) so that additional types of data can be collected.

The Picture Pile campaigns have covered a range of domains from classification of deforestation to building damage to different types of land cover, with crop type identification as the latest ongoing campaign through the Earth Challenge network. Hence, Picture Pile can be used for many different types of applications that need image classifications, e.g., as reference data for training remote sensing algorithms, validation of remotely sensed products or training data of computer vision algorithms. Picture Pile also has potential for monitoring some of the indicators of the United Nations Sustainable Development Goals (SDGs). The Picture Pile Platform is the next generation of the Picture Pile application, which will allow any user to create their own ‘piles’ of imagery and run their own campaigns using the system. In addition to providing an overview of Picture Pile, including some examples of relevance to SDG monitoring, this presentation will provide an overview of the current status of the Picture Pile Platform along with the data sharing model, the machine learning component and the vision for how the platform will function operationally to aid environmental monitoring.

How to cite: Sturn, T., See, L., Fritz, S., Karanam, S., and McCallum, I.: Extending Rapid Image Classification with the Picture Pile Platform for Citizen Science, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4168, https://doi.org/10.5194/egusphere-egu22-4168, 2022.

EGU22-5094 | Presentations | ITS3.1/SSS1.2

Life in undies – Preliminary results of a citizen science data collection targeting soil health assessement in Hungary 

Mátyás Árvai, Péter László, Tünde Takáts, Zsófia Adrienn Kovács, Kata Takács, János Mészaros, and László Pásztor

Last year, the Institute for Soil Sciences, Centre for Agricultural Research launched Hungary's first citizen science project with the aim to obtain information on the biological activity of soils using a simple estimation procedure. With the help of social media, the reactions on the call for applications were received from nearly 2000 locations. 

In the Hungarian version of the international Soil your Undies programme, standardized cotton underwear was posted to the participants with a step-by-step tutorial, who buried their underwear for about 60 days, from mid of May until July in 2021, at a depth of about 20-25 cm. After the excavation, the participants took one digital image of the underwear and recorded the geographical coordinates, which were  uploaded to a GoogleForms interface together with several basic information related to the location and the user (type of cultivation, demographic data etc.).

By analysing digital photos of the excavated undies made by volunteers, we obtained information on the level to which cotton material had decomposed in certain areas and under different types of cultivation. Around 40% of the participants buried the underwear in garden, 21% in grassland, 15% in orchard, 12% in arable land, 5% in vineyard and 4% in forest (for 3% no landuse data was provided).

The images were first processed using Fococlipping and Photoroom softwares for background removing and then percentage of cotton material remaining was estimated based on the pixels by using R Studio ‘raster package’.

The countrywide collected biological activity data from nearly 1200 sites were statistically evaluated by spatially aggregating the data both for physiographical and administrative units. The results have been published on various platforms (Facebook, Instagram, specific web site etc.), and a feedback is also given directly to the volunteers.

According to the experiments the first citizen science programme proved to be successful. 

 

Acknowledgment: Our research was supported by the Hungarian National Research, Development and Innovation Office (NKFIH; K-131820)

Keywords: citizen science; soil life; soil health; biological activity; soil properties

How to cite: Árvai, M., László, P., Takáts, T., Kovács, Z. A., Takács, K., Mészaros, J., and Pásztor, L.: Life in undies – Preliminary results of a citizen science data collection targeting soil health assessement in Hungary, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5094, https://doi.org/10.5194/egusphere-egu22-5094, 2022.

EGU22-5147 | Presentations | ITS3.1/SSS1.2

Distributed databases for citizen science 

Julien Malard-Adam, Joel Harms, and Wietske Medema

Citizen science is often heavily dependent on software tools that allow members of the general population to collect, view and submit environmental data to a common database. While several such software platforms exist, these often require expert knowledge to set up and maintain, and server and data hosting costs can become quite costly in the long term, especially if a project is successful in attracting many users and data submissions. In the context of time-limited project funding, these limitations can pose serious obstacles to the long-term sustainability of citizen science projects as well as their ownership by the community.

One the other hand, distributed database systems (such as Qri and Constellation) dispense with the need for a centralised server and instead rely on the devices (smartphone or computer) of the users themselves to store and transmit community-generated data. This new approach leads to the counterintuitive result that distributed systems, contrarily to centralised ones, become more robust and offer better availability and response times as the size of the user pool grows. In addition, since data is stored by users’ own devices, distributed systems offer interesting potential for strengthening communities’ ownership over their own environmental data (data sovereignty). This presentation will discuss the potential of distributed database systems to address the current technological limitations of centralised systems for open data and citizen science-led data collection efforts and will give examples of use cases with currently available distributed database software platforms.

How to cite: Malard-Adam, J., Harms, J., and Medema, W.: Distributed databases for citizen science, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5147, https://doi.org/10.5194/egusphere-egu22-5147, 2022.

EGU22-5571 | Presentations | ITS3.1/SSS1.2

RESECAN: citizen-driven seismology on an active volcano (Cumbre Vieja, La Palma Island, Canaries) 

Rubén García-Hernández, José Barrancos, Luca D'Auria, Vidal Domínguez, Arturo Montalvo, and Nemesio Pérez

During the last decades, countless seismic sensors have been deployed throughout the planet by different countries and institutions. In recent years, it has been possible to manufacture low-cost MEMS accelerometers thanks to nanotechnology and large-scale development. These devices can be easily configured and accurately synchronized by GPS. Customizable microcontrollers like Arduino or RaspBerryPI can be used to develop low-cost seismic stations capable of local data storage and real-time data transfer. Such stations have a sufficient signal quality to be used for complementing conventional seismic networks.

In recent years Instituto Volcanológico de Canarias (INVOLCAN) has developed a proprietary low-cost seismic station to implement the Canary Islands School Seismic Network (Red Sísmica Escolar Canaria - RESECAN) with multiple objectives:

  • supporting the teaching of geosciences.
  • promoting the scientific vocation.
  • strengthening the resilience of the local communities by improving awareness toward volcanism and the associated hazards.
  • Densifying the existing seismic networks.

On Sept. 19th 2021, a volcanic eruption started on the Cumbre Vieja volcano in La Palma. The eruption was proceeded and accompanied by thousands of earthquakes, many of them felt with intensities up to V MCS. Exploiting the attention drawn by the eruption, INVOLCAN started the deployment of low-cost seismic stations in La Palma in educational centres. In this preliminary phase, we selected five educational centres on the island.

The project's objective is to create and distribute low-cost stations in various educational institutions in La Palma and later on the whole Canary Islands Archipelago, supplementing them with educational material on the topics of seismology and volcanology. Each school will be able to access the data of its station, as well as those collected by other centres, being able to locate some of the recorded earthquakes. The data recorded by RESECAN will also be integrated into the broadband seismic network operated by INVOLCAN (Red Sísmica Canaria, C7). RESECAN will be an instrument of scientific utility capable of contributing effectively to the volcano monitoring of the Canary Islands, reinforcing its resilience with respect to future volcanic emergencies.

How to cite: García-Hernández, R., Barrancos, J., D'Auria, L., Domínguez, V., Montalvo, A., and Pérez, N.: RESECAN: citizen-driven seismology on an active volcano (Cumbre Vieja, La Palma Island, Canaries), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5571, https://doi.org/10.5194/egusphere-egu22-5571, 2022.

EGU22-6970 | Presentations | ITS3.1/SSS1.2

Analysis of individual learning outcomes of students and teachers in the citizen science project TeaTime4Schools 

Anna Wawra, Martin Scheuch, Bernhard Stürmer, and Taru Sanden

Only a few of the increasing number of citizen science projects set out to determine the projects impact on diverse learning outcomes of citizen scientists. However, besides pure completion of project activities and data collection, measurable benefits as individual learning outcomes (ILOs) (Phillips et al. 2014) should reward voluntary work.

Within the citizen science project „TeaTime4Schools“, Austrian students in the range of 13 to 18 years collected data as a group activity in a teacher guided school context; tea bags were buried into soil to investigate litter decomposition. In an online questionnaire a set of selected scales of ILOs (Phillips et al. 2014, Keleman-Finan et al. 2018, Wilde et al. 2009) were applied to test those ILOs of students who participated in TeaTime4Schools. Several indicators (scales for project-related response, interest in science, interest in soil, environmental activism, and self-efficacy) were specifically tailored from these evaluation frameworks to measure four main learning outcomes: interest, motivation, behavior, self-efficacy. In total, 106 valid replies of students were analyzed. In addition, 21 teachers who participated in TeaTime4Schools, answered a separate online questionnaire that directly asked about quality and liking of methods used in the project based on suggested scales about learning tasks of University College for Agricultural and Environmental Education (2015), which were modified for the purpose of this study. Findings of our research will be presented.

How to cite: Wawra, A., Scheuch, M., Stürmer, B., and Sanden, T.: Analysis of individual learning outcomes of students and teachers in the citizen science project TeaTime4Schools, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6970, https://doi.org/10.5194/egusphere-egu22-6970, 2022.

EGU22-7164 | Presentations | ITS3.1/SSS1.2

Seismic and air monitoring observatory for greater Beirut : a citizen observatory of the "urban health" of Beirut 

Cecile Cornou, Laurent Drapeau, Youssef El Bakouny, Samer Lahoud, Alain Polikovitch, Chadi Abdallah, Charbel Abou Chakra, Charbel Afif, Ahmad Al Bitar, Stephane Cartier, Pascal Fanice, Johnny Fenianos, Bertrand Guillier, Carla Khater, and Gabriel Khoury and the SMOAG Team

Already sensitive because of its geology (seismic-tsunamic risk) and its interface between arid and temperate ecosystems, the Mediterranean Basin is being transformed by climate change and major urban pressure on resources and spaces. Lebanon concentrates on a small territory the environmental, climatic, health, social and political crises of the Middle East: shortages and degradation of surface and groundwater quality, air pollution, landscape fragmentation, destruction of ecosystems, erosion of biodiversity, telluric risks and very few mechanisms of information, prevention and protection against these vulnerabilities. Further, Lebanon is sorely lacking in environmental data at sufficient temporal and spatial scales to cover the range of key phenomena and to allow the integration of environmental issues for the country's development. This absence was sadly illustrated during the August 4th, 2020, explosion at the port of Beirut, which hindered the effective management of induced threats to protect the inhabitants. In this degraded context combined with a systemic crisis situation in Lebanon, frugal  innovation is more than an option, it is a necessity. Initiated in 2021 within the framework of the O-LIFE lebanese-french research consortium (www.o-life.org), the « Seismic and air monitoring observatory  for greater Beirut » (SMOAG) project aims at setting up a citizen observatory of the urban health of Beirut by deploying innovative, connected, low-cost, energy-efficient and robust environmental and seismological instruments. Through co-constructed web services and mobile applications with various stakeholders (citizens, NGOs, decision makers and scientists), the SMOAG citizen observatory will contribute to the information and mobilization of Lebanese citizens and managers by sharing the monitoring of key indicators associated with air quality, heat islands and building stability, essential issues for a sustainable Beirut.

The first phase of the project was dedicated to the development of a low-cost environmental sensor enabling pollution and urban weather measurements (particle matters, SO2, CO, O3, N02, solar radiation, wind speed, temperature, humidity, rainfall) and to the development of all the software infrastructure, from data acquisition to the synoptic indicators accessible via web and mobile application, while following the standards of the Sensor Web Enablement and Sensor Observation System of the OGC and to the FAIR principles (Easy to find, Accessible, Interoperable, Reusable). A website and Android/IOS applications for the restitution of data and indicators and a dashboard allowing real time access to data have been developed. Environmental and low-cost seismological stations (Raspberry Shake) have been already deployed in Beirut, most of them hosted by Lebanese citizens. These instrumental and open data access efforts were completed by participatory workshops with various stakeholders  to improve the ergonomy of the web and application interfaces and to define roadmap for the implantation of future stations, consistently with  most vulnerable populations identified by NGOs and the current knowledge on the air pollution and heat islands in Beirut.

How to cite: Cornou, C., Drapeau, L., El Bakouny, Y., Lahoud, S., Polikovitch, A., Abdallah, C., Abou Chakra, C., Afif, C., Al Bitar, A., Cartier, S., Fanice, P., Fenianos, J., Guillier, B., Khater, C., and Khoury, G. and the SMOAG Team: Seismic and air monitoring observatory for greater Beirut : a citizen observatory of the "urban health" of Beirut, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7164, https://doi.org/10.5194/egusphere-egu22-7164, 2022.

EGU22-7323 | Presentations | ITS3.1/SSS1.2

Citizen science for better water quality management in the Brantas catchment, Indonesia? Preliminary results 

Reza Pramana, Schuyler Houser, Daru Rini, and Maurits Ertsen

Water quality in the rivers and tributaries of the Brantas catchment (about 12.000 km2) is deteriorating due to various reasons, including rapid economic development, insufficient domestic water treatment and waste management, and industrial pollution. Various water quality parameters are at least measured on monthly basis by agencies involved in water resource development and management. However, measurements consistently demonstrate exceedance of the local water quality standards. Recent claims presented by the local Environmental Protection Agency indicate that the water quality is much more affected by the domestic sources compared to the others. In an attempt to examine this, we proposed a citizen science campaign by involving people from seven communities living close to the river, a network organisation that works on water quality monitoring, three government agencies, and students from a local university. Beginning in 2022, we kicked off our campaign by measuring with test strips for nitrate, nitrite, and phosphate on weekly basis at twelve different locations from upstream to downstream of the catchment. In the effort to provide education on water stewardship and empower citizens to participate in water quality management, preliminary results – the test strips, strategies, and challenges - will be shown.

How to cite: Pramana, R., Houser, S., Rini, D., and Ertsen, M.: Citizen science for better water quality management in the Brantas catchment, Indonesia? Preliminary results, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7323, https://doi.org/10.5194/egusphere-egu22-7323, 2022.

EGU22-7916 | Presentations | ITS3.1/SSS1.2

Citizen science - an invaluable tool for obtaining high-resolution spatial and temporal meteorological data 

Jadranka Sepic, Jure Vranic, Ivica Aviani, Drago Milanovic, and Miro Burazer

Available quality-checked institutional meteorological data is often not measured at locations of particular interest for observing specific small-scale and meso-scale atmospheric processes. Similarly, institutional data can be hard to obtain due to data policy restrictions. On the other hand, a lot of people are highly interested in meteorology, and they frequently deploy meteorological instruments at locations where they live. Such citizen data are often shared through public data repositories and websites with sophisticated visualization routines.  As a result, the networks of citizen meteorological stations are, in numerous areas, denser and more easily accessible than are the institutional meteorological networks.  

Several examples of publicly available citizen meteorological networks, including school networks, are explored – and their application to published high-quality scientific papers is discussed. It is shown that for the data-based analysis of specific atmospheric processes of interest, such as mesoscale convective disturbances and mesoscale atmospheric gravity waves, the best qualitative and quantitative results are often obtained using densely populated citizen networks.  

Finally, a “cheap and easy to do” project of constructing a meteorological station with a variable number of atmospheric sensors is presented. Suggestions on how to use such stations in educational and citizen science activities, and even in real-time warning systems, are given.  

How to cite: Sepic, J., Vranic, J., Aviani, I., Milanovic, D., and Burazer, M.: Citizen science - an invaluable tool for obtaining high-resolution spatial and temporal meteorological data, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7916, https://doi.org/10.5194/egusphere-egu22-7916, 2022.

Among the greatest constraints to accurately monitoring and understanding climate and climate change in many locations is limited in situ observing capacity and resolution in these places. Climate behaviours along with dependent environmental and societal processes are frequently highly localized, while observing systems in the region may be separated by hundreds of kilometers and may not adequately represent conditions between them. Similarly, generating climate equity in urban regions can be hindered by an inability to resolve urban heat islands at neighborhood scales. In both cases, higher density observations are necessary for accurate condition monitoring, research, and for the calibration and validation of remote sensing products and predictive models. Coincidentally, urban neighborhoods are heavily populated and thousands of individuals visit remote locations each day for recreational purposes. Many of these individuals are concerned about climate change and are keen to contribute to climate solutions. However, there are several challenges to creating a voluntary citizen science climate observing program that addresses these opportunities. The first is that such a program has the potential for limited uptake if participants are required to volunteer their time or incur a significant cost to participate. The second is that researchers and decision-makers may be reluctant to use the collected data owing to concern over observer bias. This paper describes the on-going development and implementation by 2DegreesC.org of a technology-driven citizen science approach in which participants are equipped with low-cost automated sensors that systematically sample and communicate scientifically valid climate observations while they focus on other activities (e.g., recreation, gardening, fitness). Observations are acquired by a cloud-based system that quality controls, anonymizes, and makes them openly available. Simultaneously, individuals of all backgrounds who share a love of the outdoors become engaged in the scientific process via data-driven communication, research, and educational interactions. Because costs and training are minimized as barriers to participation, data collection is opportunistic, and the technology can be used almost anywhere, this approach is dynamically scalable with the potential for millions of participants to collect billions of new, accurate observations that integrate with and enhance existing observational network capacity.

How to cite: Shein, K.: Linking citizen scientists with technology to reduce climate data gaps, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10634, https://doi.org/10.5194/egusphere-egu22-10634, 2022.

The 2019-2020 bushfire season (the Black Summer) in Australia was unprecedented in its breadth and severity as well as the disrupted resources and time dedicated to studying it.  Right after one of the most extreme fire seasons on record had hit Australia, a once-in-a-century global pandemic, COVID-19, occurred. This pandemic caused world-wide lockdowns throughout 2020 and 2021 that prevented travel and field work, thus hindering researchers from assessing damage done by the Black Summer bushfires. Early assessments show that the bushfires on Kangaroo Island, South Australia caused declines in soil nutrients and ground coverage up to 10 months post-fire, indicating higher risk of soil erosion and fire-induced land degradation at this location. In parallel to the direct impacts the Black Summer bushfires had on native vegetation and soil, the New South Wales Nature Conservation Council observed a noticeable increase in demand for fire management workshops in 2020. What was observed of fires and post-fire outcomes on soil and vegetation from the 2019-2020 bushfire season that drove so many citizens into action? In collaboration with the New South Wales Nature Conservation Council and Rural Fire Service through the Hotspots Fire Project, we will be surveying and interviewing landowners across New South Wales to collect their observations and insights regarding the Black Summer. By engaging landowners, this project aims to answer the following: within New South Wales, Australia, what impact did the 2019-2020 fire season have on a) soil health and native vegetation and b) human behaviours and perceptions of fire in the Australian landscape. The quantity of insights gained from NSW citizens will provide a broad assessment of fire impacts across multiple soil and ecosystem types, providing knowledge of the impacts of severe fires, such as those that occurred during the Black Summer, to the scientific community. Furthermore, with knowledge gained from reflections from citizens, the Hotspots Fire Project will be better able to train and support workshop participants, while expanding the coverage of workshops to improve support of landowners across the state. Data regarding fire impacts on soil, ecosystems, and communities has been collected by unknowing citizen scientists all across New South Wales, and to gain access to that data, we need only ask.

How to cite: Ondik, M., Ooi, M., and Muñoz-Rojas, M.: Insights from landowners on Australia's Black Summer bushfires: impacts on soil and vegetation, perceptions, and behaviours, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10776, https://doi.org/10.5194/egusphere-egu22-10776, 2022.

High air pollution concentration levels and increased urban heat island intensity, are amongst the most critical contemporary urban health concerns. This is the reason why various municipalities are starting to invest in extensive direct air quality and microclimate sensing networks. Through the study of these datasets it has become evident that the understanding of inter-urban environmental gradients is imperative to effectively introduce urban land-use strategies to improve the environmental conditions in the neighborhoods that suffer the most, and develop city-scale urban planning solutions for a better urban health.  However, given economic limitations or divergent political views, extensive direct sensing environmental networks have yet not been implemented in most cities. While the validity of citizen science environmental datasets is often questioned given that they rely on low-cost sensing technologies and fail to incorporate sensor calibration protocols, they can offer an alternative to municipal sensing networks if the necessary Quality Assurance / Quality Control (QA/QC) protocols are put in place.

This research has focused on the development of a QA/QC protocol for the study of urban environmental data collected by the citizen science PurpleAir initiative implemented in the Bay Area and the city of Los Angeles where over 700 purple air stations have been implemented in the last years. Following the QA/QC process the PurpleAir data was studied in combination with remote sensing datasets on land surface temperature and normalized difference vegetation index, and geospatial datasets on socio-demographic and urban fabric parameters. Through a footprint-based study, and for all PurpleAir station locations, the featured variables and the buffer sizes with higher correlations have been identified to compute the inter-urban environmental gradient predictions making use of 3 supervised machine learning models: - Regression Tree Ensemble, Support Vector Machine, and a Gaussian Process Regression.

How to cite: Llaguno-Munitxa, M., Bou-Zeid, E., Rueda, P., and Shu, X.: Citizen-science urban environmental monitoring for the development of an inter-urban environmental prediction model for the city of Los Angeles, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11765, https://doi.org/10.5194/egusphere-egu22-11765, 2022.

EGU22-11797 | Presentations | ITS3.1/SSS1.2

Attitudes towards a cafetiere-style filter system and paper-based analysis pad for soil nutrition surveillance in-situ: evidence from Kenya and Vietnam 

Samantha Richardson, Philip Kamau, Katie J Parsons, Florence Halstead, Ibrahim Ndirangu, Vo Quang Minh, Van Pham Dang Tri, Hue Le, Nicole Pamme, and Jesse Gitaka

Routine monitoring of soil chemistry is needed for effective crop management since a poor understanding of nutrient levels affects crop yields and ultimately farmers’ livelihoods.1 In low- and middle-income countries soil sampling is usually limited, due to required access to analytical services and high costs of portable sampling equipment.2 We are developing portable and low-cost sampling and analysis tools which would enable farmers to test their own land and make informed decisions around the need for fertilizers. In this study we aimed to understand attitudes of key stakeholders towards this technology and towards collecting the data gathered on public databases which could inform decisions at government level to better manage agriculture across a country.

 

In Kenya, we surveyed 549 stakeholders from Murang’a and Kiambu counties, 77% men and 23% women. 17.2% of these respondent smallholder farmers were youthful farmers aged 18-35 years with 81.9% male and 18.1% female-headed farming enterprises. The survey covered current knowledge of soil nutrition, existing soil management practices, desire to sample soil in the future, attitudes towards our developed prototypes, motivation towards democratization of soil data, and willingness to pay for the technology. In Vietnam a smaller mixed methods online survey was distributed via national farming unions to 27 stakeholders, in particular engaging younger farmers with an interest in technology and innovation.

Within the Kenya cohort, only 1.5% of farmers currently test for nutrients and pH. Reasons given for not testing included a lack of knowledge about soil testing (35%), distance to testing centers (34%) and high costs (16%). However, 97% of respondents were interested in soil sampling at least once a year, particularly monitoring nitrates and phosphates. Nearly all participants, 94-99% among the males/females/youths found cost of repeated analysis of soil samples costing around USD 11-12 as affordable for their business. Regarding sharing the collecting data, 88% believed this would be beneficial, for example citing that data shared with intervention agencies and agricultural officers could help them receive relevant advice.

In Vietnam, 87% of famers did not have their soil nutrient levels tested with 62% saying they did not know how and 28% indicating prohibitive costs. Most currently relied on local knowledge and observations to improve their soil quality. 87% thought that the system we were proposing was affordable with only 6% saying they would not be interested in trialing this new technology. Regarding the soil data, respondents felt that it should be open access and available to everyone.

Our surveys confirmed the need and perceived benefit for our proposed simple-to-operate and cost-effective workflow, which would enable farmers to test soil chemistry themselves on their own land. Farmers were also found to be motivated towards sharing their soil data to get advice from government agencies. The survey results will inform our further development of low-cost, portable analytical tools for simple on-site measurements of nutrient levels within soil.

 

1. Dimkpa, C., et al., Sustainable Agriculture Reviews, 2017, 25, 1-43.

2. Zingore, S., et al., Better Crops, 2015, 99 (1), 24-26.

How to cite: Richardson, S., Kamau, P., Parsons, K. J., Halstead, F., Ndirangu, I., Minh, V. Q., Tri, V. P. D., Le, H., Pamme, N., and Gitaka, J.: Attitudes towards a cafetiere-style filter system and paper-based analysis pad for soil nutrition surveillance in-situ: evidence from Kenya and Vietnam, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11797, https://doi.org/10.5194/egusphere-egu22-11797, 2022.

Keywords: preconcentration, heavy metal, cafetiere, citizen science, paper-based microfluidics

Heavy-metal analysis of water samples using microfluidics paper-based analytical devices (µPAD) with colourimetric readout is of great interest due to its simplicity, affordability and potential for Citizen Science-based data collection [1]. However, this approach is limited by the relatively poor sensitivity of the colourimetric substrates, typically achieving detection within the mg L-1 range, whereas heavy-metals exist in the environment at <μg L-1 quantities   [2]. Preconcentration is commonly used when analyte concentration is below the analytical range, but this typically requires laboratory equipment and expert users [3]. Here, we are developing a simple method for pre-concentration of heavy metals, to be integrated with a µPAD workflow that would allow Citizen Scientists to carry out pre-concentration as well as readout on-site.

The filter mesh from an off-the-shelf cafetière (350 mL) was replaced with a custom-made bead carrier basket, laser cut in PMMA sheet featuring >500 evenly spread 100 µm diameter holes. This allowed the water sample to pass through the basket and mix efficiently with the 2.6 g ion-exchange resin beads housed within (Lewatit® TP207, Ambersep® M4195, Lewatit® MonoPlus SP 112). An aqueous Ni2+ sample (0.3 mg L-1, 300 mL) was placed in the cafetiere and the basket containing ion exchange material was moved up and down for 5 min to allow Ni2+ adsorption onto the resin. Initial investigations into elution with a safe, non-toxic eluent focused on using NaCl (5 M). These were carried out by placing the elution solution into a shallow dish and into which the the resin containing carrier basket was submerging. UV/vis spectroscopy via a colourimetric reaction with nioxime was used to monitor Ni2+ absorption and elution.

After 5 min of mixing it was found that Lewatit® TP207 and Ambersep® M4195 resins adsorbed up to 90% of the Ni2+ ions present in solution and the Lewatit® MonoPlus SP 112 adsorbed up to 60%. However, the Lewatit® MonoPlus SP 112 resin performed better for elution with NaCl. Initial studies showed up to 30% of the Ni2+ was eluted within only 1 min of mixing with 10 mL 5 M NaCl.

Using a cafetière as pre-concentration vessel coupled with non-hazardous reagents in the pre-concentration process allows involvement of citizen scientists in more advanced environmental monitoring activities that cannot be achieved with a simple paper-based sensor alone. Future work will investigate the user-friendliness of the design by trialling the system with volunteers and will aim to further improve the trapping and elution efficiencies.

 

References:

  • Almeida, M., et al., Talanta, 2018, 177, 176-190.
  • Lace, A., J. Cleary, Chemosens., 2021. 9, 60.
  • Alahmad, W., et al.. Biosens. Bioelectron., 2021. 194, 113574.

 

How to cite: Sari, M., Richardson, S., Mayes, W., Lorch, M., and Pamme, N.: Method development for on-site freshwater analysis with pre-concentration of nickel via ion-exchange resins embedded in a cafetière system and paper-based analytical devices for readout, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11892, https://doi.org/10.5194/egusphere-egu22-11892, 2022.

EGU22-12972 | Presentations | ITS3.1/SSS1.2 | Highlight

Collection of valuable polar data and increase in nature awareness among travellers by using Expedition Cruise Ships as platforms of opportunity 

Verena Meraldi, Tudor Morgan, Amanda Lynnes, and Ylva Grams

Hurtigruten Expeditions, a member of the International Association of Antarctica Tour Operators (IAATO) and the Association of Arctic Expedition Cruise Operators (AECO) has been visiting the fragile polar environments for two decades, witnessing the effects of climate change. Tourism and the number of ships in the polar regions has grown significantly. As a stakeholder aware of the need for long-term protection of these regions, we promote safe and environmentally responsible operations, invest in the understanding and conservation of the areas we visit, and focus on the enrichment of our guests.

For the last couple of years, we have supported the scientific community by transporting researchers and their equipment to and from their study areas in polar regions and we have established collaborations with numerous scientific institutions. In parallel we developed our science program with the goal of educating our guests about the natural environments they are in, as well as to further support the scientific community by providing our ships as platforms of opportunity for spatial and temporal data collection. Participation in Citizen Science programs that complement our lecture program provides an additional education opportunity for guests to better understand the challenges the visited environment faces while contributing to filling scientific knowledge gaps in remote areas and providing data for evidence-based decision making.

We aim to continue working alongside the scientific community and developing partnerships. We believe that scientific research and monitoring in the Arctic and Antarctic can hugely benefit from the reoccurring presence of our vessels in these areas, as shown by the many projects we have supported so far. In addition, our partnership with the Polar Citizen Science Collective, a charity that facilitates interaction between scientists running Citizen Science projects and expedition tour operators, will allow the development of programs on an industry level, rather than just an operator level, increasing the availability and choice of platforms of opportunity for the scientific community.

How to cite: Meraldi, V., Morgan, T., Lynnes, A., and Grams, Y.: Collection of valuable polar data and increase in nature awareness among travellers by using Expedition Cruise Ships as platforms of opportunity, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12972, https://doi.org/10.5194/egusphere-egu22-12972, 2022.

EGU22-13115 | Presentations | ITS3.1/SSS1.2

Participatory rainfall monitoring: strengthening hydrometeorological risk management and community resilience in Peru 

Miguel Arestegui, Miluska Ordoñez, Abel Cisneros, Giorgio Madueño, Cinthia Almeida, Vannia Aliaga, Nelson Quispe, Carlos Millán, Waldo Lavado, Samuel Huaman, and Jeremy Phillips

Heavy rainfall, floods and debris flow on the Rimac river watershed are recurring events that impact Peruvian people in vulnerable situations.There are few historical records, in terms of hydrometeorological variables, with sufficient temporal and spatial accuracy. As a result, Early Warning Systems (EWS) efficiency, dealing with these hazards, is critically limited.

In order to tackle this challenge, among other objectives, the Participatory Monitoring Network (Red de Monitoreo Participativo or Red MoP, in spanish) was formed: an alternative monitoring system supported by voluntary community collaboration of local population under a citizen science approach. This network collects and communicates data captured with standardized manual rain gauges (< 3USD). So far, it covers districts in the east metropolitan area of the capital city of Lima, on dense peri-urban areas, districts on the upper Rimac watershed on rural towns, and expanding to other upper watersheds as well.

Initially led by Practical Action as part of the Zurich Flood Resilience Alliance, it is now also supported by SENAMHI (National Meteorological and Hydrological Service) and INICTEL-UNI (National Telecommunications Research and Training Institute), as an activity of the National EWS Network (RNAT).

For the 2019-2022 rainfall seasons, the network has been gathering data and information from around 80 volunteers located throughout the Rimac and Chillon river watersheds (community members, local governments officers, among others): precipitation, other meteorological variables, and information regarding the occurrence of events such as floods and debris flow (locally known as huaycos). SENAMHI has provided a focalized 24h forecast for the area covered by the volunteers, experimentally combines official stations data with the network’s for spatial analysis of rainfall, and, with researchers from the University of Bristol, analyses potential uses of events gathered through this network. In order to facilitate and automatize certain processes, INICTEL-UNI developed a web-platform and a mobile application that is being piloted.

We present an analysis of events and trends gathered through this initiative (such as a debris flow occurred in 2019). Specifically, hotspots and potential uses of this sort of refined spatialized rainfall information in the dry & tropical Andes. As well, we present a qualitative analysis of volunteers’ expectations and perceptions. Finally, we also present a meteorological explanation of selected events, supporting the importance of measuring localized precipitation during the occurrence of extreme events in similar complex, physical and social contexts.

How to cite: Arestegui, M., Ordoñez, M., Cisneros, A., Madueño, G., Almeida, C., Aliaga, V., Quispe, N., Millán, C., Lavado, W., Huaman, S., and Phillips, J.: Participatory rainfall monitoring: strengthening hydrometeorological risk management and community resilience in Peru, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13115, https://doi.org/10.5194/egusphere-egu22-13115, 2022.

SSS2 – Soil Erosion and Conservation

EGU22-37 | Presentations | SSS2.3

Feedbacks between water erosion and soil thinning 

Pedro Batista, Daniel Evans, Bernardo Cândido, and Peter Fiener

Soil erosion rates frequently exceed the pace at which new soil is formed. This imbalance can lead to soil thinning (i.e., truncation) whereby subsoil horizons, and the underlying parent material, emerge progressively closer to the land surface. These subsurface horizons may have contrasting physical, chemical, and biological properties from those of the original topsoil. Hence, soil thinning can induce changes in topsoil erodibility – a fact that has been largely overlooked in erosion modelling research and could affect long-term projections of soil erosion rates. Here we present a model-based exploration of the potential feedbacks between water erosion and soil thinning, using measured data from 265 agricultural soil profiles in the United Kingdom. We simulated annual erosion rates on these soil profiles with the Modified Morgan-Morgan-Finey model, assuming time-constant land cover, topographic, and rainfall parameters. As the original topsoil was successively removed, our model gradually mixed the subsurface horizons into a 20 cm ploughing layer. We applied this modelling framework on a yearly time-step over a 500-year period, or until the ploughing layer reached the bottom of the lowermost soil horizon. Soil texture, stone cover, and soil organic carbon content for the ploughing layer were recalculated for each time-step through a mass-balance model. Soil bulk density and soil moisture content at field capacity were estimated for each time-step by pedo-transfer functions developed from our own dataset. In addition, we employed a Monte Carlo simulation with 100 iterations per year to provide a forward error assessment of the modelled soil losses. We found that simulated erosion rates on 42 % of the soil profiles were sensitive to truncation-induced changes in soil properties during the analysed period. Among the profiles sensitive to soil thinning, 68 % displayed a negative trend in modelled erosion rates. This was largely explained by decreasing silt contents on the surface soil due to selective removal of this more erodible particle size fraction and the presence of clayey or sandy substrata. Moreover, an increased residual stone cover shielded the surface soils from detachment by raindrop impact and surface runoff. The soil profiles with a positive trend in erosion rates were characterised by the presence of siltier subsoil horizons, which increased topsoil erodibility as they were mixed into the ploughing layer. Overall, our results demonstrated how modelled erosion rates could be sensitive to truncation-induced changes in soil properties, which in turn may accelerate or slow down soil thinning. These feedbacks are likely to affect how we calculate soil lifespans and make long-term projections of land degradation.

How to cite: Batista, P., Evans, D., Cândido, B., and Fiener, P.: Feedbacks between water erosion and soil thinning, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-37, https://doi.org/10.5194/egusphere-egu22-37, 2022.

EGU22-152 | Presentations | SSS2.3

Spatial Variability of Rainfall Erosivity over India 

Ravi Raj, Manabendra Saharia, Sumedha Chakma, and Arezoo Rafieeinasab

Indian is worst affected by soil erosion, especially due to erosion induced by rainfall. A factor of Universal Soil Loss Equation (rainfall erosivity factor) needs to be estimated throughout the country to assess the soil erosion in the country. Indian climate is dominated by monsoons, and their intensity and distribution vary significantly throughout the country. Rainfall erosivity is solely derived from the rainfall intensity, which is a function of climatic properties. In this study, the distribution and variability of the rainfall erosivity factor (R factor) had been analyzed in different regions and sub-divisions of India as classified by India Meteorological Department (IMD). For estimation of rainfall erosivity, the widely adopted principle of kinetic energy and rainfall intensity had been used. A well-known precipitation index, Modified Fournier Index (MFI), was also calculated to check its influence on the R factor. Regression equations in the form of power-law are derived for all regions of the country to establish the relationship between the R factor and MFI. Further, an analysis at the sub-divisional level was also performed to visualize the spatial variability of the R-factor throughout the nation. South peninsula India with the lowest average R factor of 615.61 MJ-mm/ha/h/yr, was recognized as least vulnerable to rainfall erosivity while the East and Northeast India was recognized as most susceptible with a highest R factor of 3312.39 MJ-mm/ha/h/yr. About 36% of the entire subdivisions of the country were spotted with an average rainfall erosivity factor higher than the national average rainfall erosivity factor, and hence they are more prone to erosion induced by rainfall. Estimating rainfall erosivity factors at sub-divisional and regional levels will help policymakers and watershed experts prioritize the watershed management practices to counter soil erosion induced by rainfall erosivity.

Keywords – Rainfall erosivity, IMD, Spatial variability, Climate, Precipitation index

How to cite: Raj, R., Saharia, M., Chakma, S., and Rafieeinasab, A.: Spatial Variability of Rainfall Erosivity over India, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-152, https://doi.org/10.5194/egusphere-egu22-152, 2022.

LANDSLIDES are one of the destructive geological processes that occur throughout the world. At global scale, the landslides are one of the major natural disaster which deteriorate the soil quality at a very large scale. In the Indian Himalayan Region (IHR), the Garhwal Himalayas of Uttarakhand landslides occurred very frequently in rainy season due to the presence of fragile rocks, active tectonic activity and unplanned anthropogenic activities. Landslides causes the loss of soil nutrients and vegetation which in turn deteriorate the soil quality. They can have an enormous effect on biodiversity and significantly alter the soil quality. The rate of soil development in essential for determining the recovering capacity of soil after the losses occurred due to landslides and erosion.

Therefore, the present study analyzed the natural recovery of soil quality in terms of soil characteristics with the passage of time (chronosequence) in 4 disturbed sites of different ages i.e., 6-year-old (L1 site), 16-year-old (L2 site), 21-year-old (L3 site) and 26-year-old (L4 site) including control (undisturbed) site in the Garhwal Himalayas of Uttarakhand. 76 soil samples were collected from all the selected sites at two depths i.e., 0-15cm and 15-30cm. The collected soil samples were analyzed for various physical (bulk density (BD), particle density (PD), total porosity (TP), moisture content (MC) and sand, silt and clay content) and chemical characteristics (pH, electrical conductivity (EC), soil organic carbon (SOC), soil organic matter (SOM), mineralisable nitrogen (MN), available phosphorus (AP) and available potassium (AK). Principal Component Analysis (PCA) was done with all the 14 variables which are significantly different in order to establish minimum data set (MDS). The MDS includes SOC, AP and clay content on the basis of the PCA results. The soil quality index (SQI) was calculated using Integrated Quality Index (IQI) equation. Landslide affected sites L1, L2, L3 and L4 and control site had mean SQI scores of 0.136, 0.279, 0.447, 0.604 and 0.882, respectively.

The results have demonstrated that the control site had much better soil quality in comparison to the landslide affected sites because of its better nutrients content and better physical characteristics. The results have also shown that the soil quality tends to increase with the age of landslide, but the soil quality has not reached to the pre-disturbance level in a period of 26 years. The SQI shows the variations in landslide affected sites which could be used to detect variations in soils of disturbed areas. The results will also provide crucial information for evaluating the consequences, designing, and implementing restoration strategies.

How to cite: goyal, D. and Joshi, V.: Soil quality assessment in a chronosequence of landslides in Garhwal Himalayas, Uttarakhand, India, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-494, https://doi.org/10.5194/egusphere-egu22-494, 2022.

EGU22-539 | Presentations | SSS2.3

Assessment of soil erosion in the north flowing cratonic river basins, Peninsular India 

Rohit Kumar, Rahul Devrani, Rohitash Kumar, Sujang khiamniungan, Sourish Chatterjee, and Benidhar Deshmukh

Soil erosion accelerated by climatic variation and human impact has become a severe global environmental concern. It is required to engage policymakers to limit or regulate future soil erosion rates. In the Indian subcontinent, soil erosion in mountainous terrain and ravenous land is the most severely affected. North flowing Cratonic (NFC) Rivers (total catchment area ~ 327570 sq km) in the northern Peninsular region having deeply dissected channels are usually associated with ravenous land and have been proven to be vulnerable to climate change. Due to their climatic and topographic characteristics, NFC rivers basin are expected to exhibit diverse rate of soil erosion. This study focuses on the NFC river basins, namely, Chambal (141578.12 sq km), Sindh (29041.68 sq km), Betwa (43826.4 sq km), Ken (28674.7 sq km), Tons (17172 sq km) and Son (67277.1 sq km), to assess soil erosion and spatial pattern of soil erosion prone areas by employing the widely used RUSLE model. The factors used in the RUSLE model have been derived from different sources. The annual average rainfall derived using the Center for Hydrometeorology and Remote Sensing (CHRS) data shows an increasing trend from west to east, indicating arid climate in the western and humid climate in the eastern section. The Soil erodibility (K) factor has been estimated from soil maps of the National Bureau of Soil Survey and Land Use Planning (NBSS-LUP), Nagpur. Topographic (LS) factor was derived from SRTM 30m DEM and crop management (C), and support practice (P) factors were calculated by assigning appropriate values to LULC classes created by ESRI (Environmental Systems Research Institute) using Sentinel-2 imageries at 10m spatial resolution.

Our findings show that the ravenous land in the Chambal, Sindh, Betwa and Ken river basins account for most of the high soil erosion rate in the study area. The soil loss rate increases from west to east in NFC river basins, ranging from low to extremely high. Although most of the Son river basin is covered by forest, other classes, i.e. bare land and fallow land, exhibit high erosion due to heavy rainfall. The research findings show spatial patterns of soil erosion in the NFC river basins and indicate minimal erosion in the regions of arid climates and significant erosion in the area of humid climates. Further, soil erosion hotspots identified primarily represent ravines and barren area classes. The information may be valuable to policymakers to plan for regulating future soil erosion rates in the region.

Keywords: North flowing cratonic rivers, RUSLE, Chambal River, Ravines, Soil erosion.

How to cite: Kumar, R., Devrani, R., Kumar, R., khiamniungan, S., Chatterjee, S., and Deshmukh, B.: Assessment of soil erosion in the north flowing cratonic river basins, Peninsular India, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-539, https://doi.org/10.5194/egusphere-egu22-539, 2022.

EGU22-579 | Presentations | SSS2.3

Soil pipe collapses in Europe: towards a continent-wide assessment 

Anita Bernatek-Jakiel, Matthias Vanmaercke, Jean Poesen, Anna Biernacka, Anastasiia Derii, Joanna Hałys, Estela Nadal-Romero, Panos Panagos, Dawid Piątek, Taco H. Regensburg, Jan Rodzik, Mateusz Stolarczyk, Els Verachtert, Patryk Wacławczyk, and Wojciech Zgłobicki

Piping erosion leads to land degradation and causes several environmental and societal problems, although this process is rarely considered in soil erosion studies. So far, there are no systematic studies at regional to global scales aiming to understand the patterns and controlling factors of soil piping. This is mainly due to the methodological challenges related to detecting soil pipes. With this project, we aim to address this gap by identifying piping-affected areas in Europe. For this, we are constructing a database on surface evidences of soil piping, i.e. pipe roof collapses (PCs) for the European Union and the UK. Locations and other details of PCs in this database are collected based on an in-depth literature review in combination with detailed mapping based on Google Earth imagery, ortophotos and LiDAR data (if available). While the work is still ongoing, we have already compiled information on >2000 PCs in 10 different countries. In a next phase, we will use this PC database to construct the very first data-driven piping erosion susceptibility map of Europe.

This research is part of the Twinning project “Building excellence in research of human-environmental systems with geospatial and Earth observation technologies” that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 952327.

How to cite: Bernatek-Jakiel, A., Vanmaercke, M., Poesen, J., Biernacka, A., Derii, A., Hałys, J., Nadal-Romero, E., Panagos, P., Piątek, D., Regensburg, T. H., Rodzik, J., Stolarczyk, M., Verachtert, E., Wacławczyk, P., and Zgłobicki, W.: Soil pipe collapses in Europe: towards a continent-wide assessment, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-579, https://doi.org/10.5194/egusphere-egu22-579, 2022.

EGU22-861 | Presentations | SSS2.3

A modified USLE-based approach combined with sediment delivery module to estimate soil loss and reservoir sedimentation rates in Alpine basins 

Konstantinos Kaffas, Vassilios Pisinaras, Mario Al Sayah, Simone Santopietro, and Maurizio Righetti

Reservoir sedimentation constitutes a major issue worldwide and a long-lasting priority for dam managers, especially when hydropower, and hence profit, is involved. Commonly, the problem of excessive sedimentation is attributed to failed prediction of the sediment supply from the upland basin prior to the construction of dams, namely to the underestimation of sediment inflow to the reservoir.

The sediment input in the Rio di Pusteria reservoir (South Tyrol, Italy) between two consecutive sediment flushing operations in June 2014 and May 2019, was determined by obtaining the volumetric difference between very high resolution (0.25 m) reservoir bathymetries conducted after the flushing of 2014 and before the flushing of 2019. The sediment yield in the reservoir during the latter period was found to be 453,783 t.

To calculate the sediment yield in the reservoir, we have applied a gridded seven-factor Universal Soil Loss Equation (USLE) combined with a Sediment Delivery Ratio (SDR) module in a high resolution (2.5 m) GIS environment, which enabled an accurate representation of the rapidly shifting Alpine topography. An additional factor for coarse fragments was added to the conventional six-factor USLE to account for the non-erodible part of the basin. This is of great importance as the USLE-based models are criticized to produce extreme erosion rates in uplands and mountain areas. The topographic factor, LS, was refined by the use of a fine scale DEM and the slope length factor, L, was adjusted to the Alpine terrain by means of a regulating threshold. The proposed SDR module does not rely on one but on several physiographic, topographic and hydrologic characteristics of the basin. Finally, the rainfall erosivity factor, R, was determined in two different ways, one representing the rainfall climatology of the study area and one the specific rainfall conditions of the study period, hence the application of the model in two distinct configurations.

The application of the combined USLE-SDR model resulted in five-year reservoir sedimentation rates of 439,279.2 t and 589,520.5 t, with deviations from the measured sediment yield of 3.3% and -25.5%. Excluding very high altitudes with glaciers and perennial snow, we consider the proposed modeling approach ideal for upper lands and mountainous areas such as the Alps.

How to cite: Kaffas, K., Pisinaras, V., Al Sayah, M., Santopietro, S., and Righetti, M.: A modified USLE-based approach combined with sediment delivery module to estimate soil loss and reservoir sedimentation rates in Alpine basins, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-861, https://doi.org/10.5194/egusphere-egu22-861, 2022.

EGU22-876 | Presentations | SSS2.3

Comparison of the Revised and Modified USLE models for prediction of sediment yield from grazing land in Central Queensland, Australia 

Jagriti Tiwari, Bofu Yu, D Mark Silburn, Rebecca Bartley, Craig M Thornton, Jo Owens, and Andrew Brooks

One of the major issues of the grazing land ecosystem is high sediment yield linked to extensive land clearing and conversion of native vegetation into grazing. It is essential to model hillslope sedimentation for improved prediction of sediment yield in grazed catchments. This study evaluated the performance of Revised Universal Soil Loss Equation (RUSLE) and Modified Universal Soil Loss Equation (MUSLE) models in predicting sediment yield from grazed catchments and analyzed the effects of runoff, peak runoff rate and the RUSLE/MUSLE factor on annual sediment yield. Springvale, Brigalow, and Weany Creek catchments from Fitzroy and Burdekin Basins in Queensland, Australia, were selected as study areas. The MUSLE models performed better as compared to the RUSLE model for all three catchments. Compared to the RUSLE model, the MUSLE1 model with factors runoff and peak runoff rate was able to predict sediment yield for Weany creek and Brigalow catchment and the MUSLE2 with factors rainfall-runoff erosivity (EI30), runoff, and peak runoff rate performed well for Springvale and Brigalow catchment. The study found rainfall and runoff factors in Springvale and Brigalow catchments, and runoff factor and peak runoff rate in Weany catchments contributed to the variation of sediment yield. The estimated soil erodibility factor (K) was found 14%, 24%, and 60% higher for Springvale, Brigalow, and Weany Creek catchments, respectively, compared to K-factor from the Australian Soil Resource Information System (ASRIS). This study recommends using the MUSLE model to improve hillslope sediment yield prediction in grazing lands in Central Queensland.

How to cite: Tiwari, J., Yu, B., Silburn, D. M., Bartley, R., Thornton, C. M., Owens, J., and Brooks, A.: Comparison of the Revised and Modified USLE models for prediction of sediment yield from grazing land in Central Queensland, Australia, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-876, https://doi.org/10.5194/egusphere-egu22-876, 2022.

Motivation and aim: Mountain areas with beautiful scenery are attractive to visitors and offer such ecosystem services as recreation and spiritual opportunities. However, the mountain environment is fragile and easily degraded when recreation is not appropriately managed. This degradation limits recreation potential and can also be dangerous to visitors and local communities. Our study presents documentation of landscape degradation in response to a rapid increase in visitors number in an extreme environment of high-altitude (> 4000 m a.s.l) tropical mountains. Rainbow Mountain (Vinicunca) in Peru only recently became a world-renowned tourist destination. Rapid visitors’ influx caused severe landscape degradation and partly uncontrolled infrastructure development. We characterized and mapped different types of impacts related to visitor pressure and evaluated activities aimed to limit degradation and enhance visitor behaviour. 

Method of investigation: Fieldworks in the vicinity of Vinicunca were conducted in 2017, 2018 and 2019. Geomorphological mapping involved a field-based approach combined with the interpretation of orthomosaics generated from UAV imagery and high-resolution satellite data (WorldView-2, 2020). UAV images were processed using the structure-from-motion workflow. The characterization of dominant morphogenetic processes was based on ground-based observations, photographic documentation, and remote sensing data. 

Results and conclusions: We identified seven dominant morphogenetic processes responsible for landscape degradation: Based on field geomorphological mapping, five processes were most important in the degradation of landscape: (1) Vegetation trampling by hikers and animals (mostly horses, but also llamas); (2) Soil erosion concentrated on bare soil surfaces and caused the development of rill erosion and surface flow; (3) Soil compaction lead to soil hardening which in turn facilitate accelerated surface flow from the trail surface and enhancing water erosion further downslope; (4) Freeze-thaw cycles which weakened structure of the material making it more prone to erosion; (5) Dry-wet cycles also preparing the soil for further degradation activity. The abovementioned processes formed characteristic morphogenetic elements of the trails, which included: (1) Severely incised trail surface where the bottom of the trail can be as low as 1 m below the original land surface; (2) Braided trail network consisting of several parallel paths, without incision, or moderately incised with vegetation between individual paths; (3) Single, wide, bare soil trail tread indicating that vegetation was removed, and the surface is prone to soil erosion; (4) Water puddled in flat areas caused the development of muddy section, That in turn lead to increase in trail width, as the visitors tried to bypass muddy segment and trampled vegetation in their vicinity. Based on collected data, trail classification was developed that include a functional model of trails in slope and flat conditions. Our results indicate that in such a fragile environment, a rapid increase in visitors numbers can lead to permanent changes in the environment. Therefore, appropriate managerial actions need to be taken to limit the degradation of the environment. Trails’ maintenance is critical for limiting the degradation of trail vicinity, enhancing visitor perception, and limiting hazardous conditions.

This project was funded by Narodowe Centrum Nauki (National Science Centre, Poland), grant number 2015/19/D/ST10/00251

How to cite: Tomczyk, A. and Ewertowski, M.: Landscape degradation and development as a result of the intensification of tourism activity in a fragile, high-mountain environment: a case study of  Vinicunca (Rainbow Mountain), Peru, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-978, https://doi.org/10.5194/egusphere-egu22-978, 2022.

EGU22-1289 | Presentations | SSS2.3

Study on distribution characteristics of loess gully at medium watershed scale based on UAV images 

chunmei zhang, chunmei wang, qinke yang, guowei pang, lijuan yang, lei wang, and yongqing long

Abstract:Gully erosion is one of the soil erosion types with the largest sediment yield on the Loess Plateau, and also an important part of soil erosion control on the Loess Plateau. Based on the UAV aerial photography as in 2020, with systematic sampling method in Chabagou watershed and select 32 small watershed as the basic research unit, artificial visual interpretation method is used to draw small watershed, gully ditch, gully and ancient valleys line, gully region of northern Shaanxi loess cutting groove distribution characteristics and influencing factors of medium watershed scale of research and analysis. The results showed that : (1) The intensity of gully erosion in chabagou Basin is middle reaches & GT; Downstream & gt; In the upper reaches of the basin, the length, number and area of ditches per unit area are 9.03 km, 339.04 and 7.29hm2, respectively. More than 50% of the ditches are between 10m and 30m in length, and 60% of the ditches are less than 150m²; (2) The ancient gully length density, gully length density, gully strip density and gully area density were the highest in the middle reaches of the basin. (3) The positive and negative terrain area ratio and slope directly affect the gully density, showing a moderate correlation; NDVI and the proportion of cultivated land had an indirect effect on the gully density, and the correlation was strong. The length, density and number of ditches in shady slope were significantly higher than those in sunny slope. This paper can explain the development characteristics of gully at medium watershed scale in loess gully region, clarify its distribution law, and provide theoretical basis for gully erosion control. 

How to cite: zhang, C., wang, C., yang, Q., pang, G., yang, L., wang, L., and long, Y.: Study on distribution characteristics of loess gully at medium watershed scale based on UAV images, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1289, https://doi.org/10.5194/egusphere-egu22-1289, 2022.

EGU22-1518 | Presentations | SSS2.3

How does a vertic soil move? Soil erosion rates and its redistribution in an olive orchard at the medium-term 

Gema Guzmán, Azahara Ramos, Javier Montoliu, and José A. Gómez

Water erosion measurement has been widely studied under different conditions using traditional approaches such as erosion collectors and more innovative ones such as sediment tracers.

La Conchuela is a commercial olive orchard located in Southern Spain. In 2008, six closed runoff plots, where regular machine traffic during farm operations was allowed, were established. Runoff water was channeled from the plots and collected by tipping-bucket gauges with 5-min resolution. This was completed with a sediment trap located upstream of the tipping buckets and a device to collect an integrated sample of the runoff downstream of the tipping buckets (Gómez & Guzmán, 2021). In two of these plots ground cover was controlled with tillage during the whole year while the rest keep a temporary cover crop during fall and winter.

In two of the plots (one with bare soil and other with temporary cover crop), the top 5 cm of the inter tree rows soil were tagged with magnetite. During the following years, three soil sampling campaigns (2008, 2010, 2016) were performed to measure variations of magnetic susceptibility within the soil surface and profile. Seventy locations at both plots were sampled at three depth intervals (0-1, 1-8, 8-12 cm in 2008 and 2010). A third sampling was carried out at 0-2, 2-10, 10-20 cm in 2016 at the same locations. Furthermore, twenty additional samples from 20-30, 30-40, 40-50, 50-60 cm were taken to check if tagged soil went deeper into the soil profile. In all these samplings, tree and inter tree rows were distinguished. Background susceptibility and bulk density at each depth, were characterised at the three sampling campaigns (Guzmán & Gómez, 2017).

During the period 2008-2019 there were not statistically significant differences between managements, bare soil vs temporary cover crops, in runoff or soil losses. Nevertheless, average runoff and soil losses had a trend to lower values for the cover crop treatment (142.9 mm and 16.5 t ha-1) as compared to bare soil (155.8 mm and 23.8 t ha-1). With the help of the magnetic tracer, the estimated erosion rates within the plots during 2009-2010 (the rainiest hydrological year within the study period with a precipitation of 1048.5 mm) were 115 t ha-1 and 58 t ha-1 in the bare soil plot and 62 t ha-1 and 44 t·ha-1 in the cover crop plot, from inter-tree rows and tree rows, respectively. The evolution of susceptibility suggests the potential of magnetite monitoring vertical fluxes at the mid-term also, due to wetting-drying cycles of vertic soils and soil disturbance agricultural practices. In fact, magnetic iron oxide was detected at initially untagged deeper soil layers (20-60 cm) in both inter-tree and tree rows. This highlights the relevance of accounting vertical displacement in any kind of tracer study in vertic soils and its implications at the medium-term (2008-2016) for the determination of erosion rates which will be presented in this communication.

Gómez, J. A., Guzmán, G. 2021. In EGU General Assembly Conference Abstracts (EGU21-606, https://doi.org/10.5194/egusphere-egu21-606).

Guzmán, G., Gómez, J. A. 2017. In EGU General Assembly Conference Abstracts (Vol. 19, EGU2017-4357-2).

How to cite: Guzmán, G., Ramos, A., Montoliu, J., and Gómez, J. A.: How does a vertic soil move? Soil erosion rates and its redistribution in an olive orchard at the medium-term, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1518, https://doi.org/10.5194/egusphere-egu22-1518, 2022.

In France, erosion by water run-off is estimated to 1.5 t ha-1 yr-1 and can reach 10 t ha-1 yr-1 in the large agricultural area of northern France. The Canche River watershed (1294 km²) in the Hauts-de-France region has been studied since 2016 to better understand its high sensibility to soil erosion. Agricultural soil erosion leads to the gradual disappearance of fertile topsoil, which constitute a non-renewable resource at human time scale. Once the soil is eroded, its pathway through the river may significantly degrade the water quality e.g. in terms of suspended particulate matter and nutrient, fertilizer, pesticide, and heavy metal input. Since almost a decade, efforts are made to reduce soil erosion by installing anti-erosion equipment such as fascines, grass strips, and retention basins. The aim of this study is to understand and characterize erosion process from small to large scale.

This study presents the monitoring of two intercalated sub-catchments from the Canche River watershed. The first elementary catchment (Pommeroye creek; 0.54 km²) disposes of a multiparameter high frequency (10 min) monitoring station (turbidity, liquid yield, conductivity, automatic sampling) completed by monthly field monitoring of the soil surface characteristics. This monitoring aims to understand detailed erosion processes such as hysteresis phenomena or the impact of anti-erosion management at catchment scale. To support these measurements, drone overflights are carried out to calculate the volume of soil moved or stored in ravines and at fascines between two distinct erosion events.

A second monitoring station further downstream in the intermediate-sized catchment (100 km²) of the Planquette River (tributary of the Canche River) follows the transit of suspended particulate matter to understand the transit time from up to downstream and the hysteresis phenomena between liquid and solid fluxes.

Over the last year (2021), more than 30 erosion events have been recorded on the elementary catchment, showing a variability on the amount of exported soil depending on the rain amount but also on seasonality on the soil surface characteristics and finally, the importance of the phenomenon of deposition/remobilization of the eroded material. The drone overflights between two important erosion events will help to estimate the importance of this deposition/remobilization phenomenon. The soil surface monitoring during the last year showed clearly the degradation of the infiltrative characteristics leading to an increased susceptibility to erosion. This degradation rate depends on the culture type and the time passed without plant cover.

How to cite: Delaporte, M., Alary, C., Franke, C., and Billon, G.: Monitoring and understanding soil erosion processes in elementary agricultural catchment and its consequences on the hydro-sedimentary fluxes in river (northern France), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1591, https://doi.org/10.5194/egusphere-egu22-1591, 2022.

EGU22-1683 | Presentations | SSS2.3

Quantitative Assessment and Mapping of soil water and wind erosion in Pakistan 

Xuyan Yang, Qinke Yang, Haonan Zhu, and Lei Wang

 Soil erosion is a serious environmental problem, water erosion and wind erosion pose a greater threat to the sustainable development of Pakistan. In order to provide a scientific basis for the Pakistan’s soil and water conservation, this study used sub-meter resolution sampling survey (totally 475 units) and regional soil erosion factors (R, K, LS, B) as data sources, and calculates soil erosion rate maps (5m resolution) for each sampling unit based on the CSLE model, then uses a machine learning method to quantitatively make a soil erosion rate map in Pakistan that are closer to the real soil erosion characters. Based on climate, soil, topography, vegetation and other datas, the RWEQ model was used to quantitatively estimate the soil wind erosion rate map of Pakistan. Finally, the soil water erosion and wind erosion rate maps of Pakistan were spatially overlaid, taking into account the natural conditions of Pakistan, and according to the soil loss tolerance threshold, the study area is divided into wind erosion area, water erosion area, wind/water erosion interlaced areas. The results showed that : (1) Soil erosion in Pakistan is mainly concentrated in Potohar and its surrounding areas, the desert in the southwest, and the Thar desert in southeast. (2) The Kharan Desert in Balochistan and the Thar Desert in the southeast are dominated by wind erosion, Punjab and Sindh are dominated by water erosion, and wind and water erosion are combined in the northern mountainous areas and around the Suleiman Mountains Range. This study quantitatively estimated the rate of soil water erosion and wind erosion simultaneously in Pakistan, the results can more accurately express the spatial distribution characteristics of soil erosion in the country, provide a scientific basis for policy-making of soil and water conservation.

How to cite: Yang, X., Yang, Q., Zhu, H., and Wang, L.: Quantitative Assessment and Mapping of soil water and wind erosion in Pakistan, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1683, https://doi.org/10.5194/egusphere-egu22-1683, 2022.

Soil erosion is a very complex physical and geographical phenomenon, which is affected by both natural and human activities. Based on theoretical and technical methods such as CSLE model, Classification and Regression Tree (CART) and Google Earth Engine (GEE), on the basis of obtaining medium and high resolution soil erosion factors, this study systematically analyzed the temporal and spatial variation of soil erosion rate on the Loess Plateau in the past 40 years and the changes of the main controlling factors of soil erosion before and after “returning farmland to forest (grass)”. The main conclusions are as follows: (1) The soil erosion rates of the Loess Plateau in 1980, 1990, 2000, 2010, and 2017 were 2207.57, 1725.13, 981.18, 727.79, and 640.00 t/(km2∙a), showing a decreasing trend overall. As the most serious soil erosion area on the Loess Plateau, the Loess Hilly and Gully region has a significant weakening trend in its soil erosion rate, but its five-phase average soil erosion rate is still more than twice the average of the whole region, 4414.77, 3485.19, 1884.37, 1296.21, 1135.04 t/(km2∙a). (2) Before returning farmland to forest (grass) (before 1999), rainfall erosivity (R) was the main controlling factor for soil erosion. After the large-scale implementation of various soil and water conservation measures, the influence of biological measures (B) on soil erosion rate increased; in the sandy region of the Loess Plateau dominated by low-coverage grasslands, soil erosion was significantly affected by rainfall erosivity (R). The main controlling factors of soil erosion in the loess hilly and gully area changed significantly around 2000, from the combined effect of terrain (LS) and vegetation (B) to the combined effect of rainfall erosivity (R), gully erosion factor (g) and vegetation (B). (3) The average soil erosion rate under different land use types on the Loess Plateau is characterized by cultivated land>grassland>forest land. From 1980 to 2017, the soil erosion rate from cultivated land to forest land decreased the most, and the change slope was -74.84 (t/(km2∙a))/a, followed by cultivated land to grassland and grassland to forest land, both of which changed the slope of soil erosion. They are -51.88 (t/(km2∙a))/a and -49.05 (t/(km2∙a))/a, respectively. This research can provide a scientific basis for the needs of future comprehensive management planning and soil and water conservation construction in the basin.

How to cite: Huang, C. and Yang, Q.: Temporal and spatial variation of soil erosion rate in the Loess Plateau and its main controlling factors in the past 40 years, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1966, https://doi.org/10.5194/egusphere-egu22-1966, 2022.

    As one of the important indicators reflecting the regional ecological environment, fractional vegetation coverage is significant for regional eco-environmental protection and sustainable utilization of resources. To understand changes in the ecological environment of the ecologically fragile areas in the Loess Plateau affected by “Grain for Green” Program and its main driving forces in the past two decades, this study taking Yulin City as a typical example of the fragile ecological environment on the Loess Plateau, to analyze spatial-temporal variations of the vegetation coverage in Yulin City during the past two decades based on the pixel dichotomy model with vegetation index, using univariate linear regression methods. The dominant factors and interaction between factors influencing the interannual changes and spatial distribution of vegetation coverage are analyzed using the partial correlation analysis and geographic detector methods during the different period in “Grain for Green” Program. Results showed that: (1) The vegetation coverage in Yulin City significantly increased (S = 0.011, p < 0.01) from 2001 to 2020. The vegetation coverage during the construction periods (2001-2010) increased significantly (S = 0.013, p <0.01); while its increase in the consolidation periods (2011-2020) was relatively slow (S = 0.005, p > 0.05). (2)The spatial distribution of vegetation coverage in Yulin City decreased from east to west from 2001 to 2020. The vegetation coverage of all counties (districts) in Yulin City shows an overall increasing trend, among which the eastern part of Yulin City has a more significant growth trend. However, the proportion of area in the construction periods (82.1%) was larger than that in the consolidation periods (58.0%). (3) The cumulative area of the Grain for Green Program was the dominant factor in the construction periods, while it was rainfall in the consolidation period. (4) Soil texture, rainfall, and land use type mainly affected the spatial distribution of vegetation coverage from 2001 to 2020. Soil texture was closely related to changes in the vegetation coverage both in the construction and consolidation periods. The spatial heterogeneity of vegetation distribution and the interaction between the main influencing factors provides a scientific basis for the precise implementation of ecological restoration measures.

How to cite: Liu, Y., Liu, B., and Zhang, J.: Spatial-Temporal Changes Of Vegetation Coverage In Yulin City And Its Influencing Factors During The Past Two Decades Since The Implementation Of The“Grain For Green” Program, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2091, https://doi.org/10.5194/egusphere-egu22-2091, 2022.

EGU22-2210 | Presentations | SSS2.3

Investigation of the applicability of rainfall generators for the estimation of the rainfall erosivity for ungauged locations 

Nejc Bezak, Ross Pidoto, Hannes Müller-Thomy, Bora Shehu, Ana Callau-Beyer, Katarina Zabret, and Uwe Haberlandt

Rainfall erosivity is one of the main inputs for soil erosion modelling. Long high-resolution rainfall time series are needed for the estimation of rainfall erosivity but these are likely to be lacking at many locations around the globe. An alternative approach could be the generation of synthetic rainfall time series using stochastic rainfall models. In this study, four methods for estimating the rainfall erosivity were evaluated at ungauged sites:

i) estimation from regionalised observed 5 minute rainfall time series,

ii) direct regionalisation of the rainfall erosivity estimated from observations,

iii) estimation from 5 minute rainfall time series disaggregated from daily observations,

iv) estimation from rainfall time series generated by a regionalized stochastic rainfall model.

Data from 159 stations from Lower Saxony, Germany, were used to evaluate the performance of different methods. All tests were performed using the leave-one-out cross validation method. Additionally, we also analysed the minimum time series length necessary to adequately estimate the rainfall erosivity.

The results indicated that the direct regionalization of the mean annual rainfall erosivity yielded the best performance in terms of relative bias followed by the regionalization of the 5 minute rainfall data. However, the main advantage of the rainfall generators is that they can generate long synthetic time series and can also provide estimates of other rainfall erosivity characteristics such as number of erosive rainfall events, etc. Applying the alternating renewal model indicated that more than 60 years of data are needed to obtain a stable estimate of rainfall erosivity and that rainfall erosivity estimations using 5 years of data can lead to significant uncertainty. Moreover, it was also found that the rainfall erosivity calculations are sensitive to the resolution of the input data.  

Acknowledgment: The results of the study are part of the bilateral research project between Slovenia and Germany “Stochastic rainfall models for rainfall erosivity evaluation” (BI-DE/18-19-008). 

How to cite: Bezak, N., Pidoto, R., Müller-Thomy, H., Shehu, B., Callau-Beyer, A., Zabret, K., and Haberlandt, U.: Investigation of the applicability of rainfall generators for the estimation of the rainfall erosivity for ungauged locations, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2210, https://doi.org/10.5194/egusphere-egu22-2210, 2022.

EGU22-2252 | Presentations | SSS2.3

Long-term hydrologic effect of temporary cover crops in an olive orchard on a sandy-loamy soil 

Jose Alfonso Gomez, javier Montoliu, and Gema guzman

Temporary cover crops are a well stablished erosion control tool in Mediterranean tree crops such as olives or vines. Short-term (3-4 years) studies have stablished their beneficial effect in term of reducing runoff and soil losses (e.g. Gómez et al. 2009) at hillslope scale. There are few studies which have measured their hydrologic impact in the long-term. Gómez et al. (2021) in a long-term study of runoff and soil losses at hillslope scale in an olive orchard on a vertic soil noted how the reduction of runoff losses using temporary cover crops as compared to a bare soil was less than expected.

Santa Marta is a commercial olive orchard located nearby Seville, Southern Spain, with a mean slope of 11 %, with a sandy-loam textural class, and an average annual precipitation of 534 mm. In 2003, two closed runoff plots (60 long, 480 m2) where regular machine traffic during farm operations was allowed. Four additional plots where stablished in 2005. Since then, runoff and sediment have been collected to determine soil erosion rates, with more details in Gómez et al. (2009). In two of these plots a bare soil management, CT, implemented with regular passes (1 to 3 a year) of chisel has been maintained, while in the other four plots temporary covers controlled by mowing had been used. In 2005 and 2006 two of these plots were seeded with a mix of species, CCm, to enhanced biodiversity, while the other two plots have since the start of the experiment regularly seeded with short-term cycle annual grasses.

 

During the period 2003-2020 the experiment received an average annual, from 269 to 859 mm, and an average rainfall erosivity of 830 MJ mm ha-1 h-1 yr-1, from 268 to 1750. Average annual runoff and soil losses for the CT treatment were 57.5 mm and 22.9 t ha-1. For the CCg treatment the average losses were 33.8 mm 2.6 t ha-1 and for the CCm 33.7 mm 2.6 t ha-1 without statistically significant differences, at p<0.05 using a Kruskall-Wallis test, in runoff or soil losses between the CCg and CCm treatments. There was a significantly statistical difference in runoff and soil losses between the CT and both CC treatments. The use of temporary cover crops in an olive orchard with moderate machine traffic had a huge effect in reducing erosion, cumulative soil losses were 402.2 t ha-1 in CT vs. 39.1 t ha-1 in CC, while moderate in runoff, 57.1 vs. 33.5 mm year-1. We discuss the temporal evolution of these differences and its implications for soil management, linking them to some soil properties analysed during this time period within the plots.

References:

Gómez, J.A., et al. 2009. The influence of cover crops and tillage on water and sediment yield, and on nutrient, and organic matter losses in an olive orchard on a sandy loam soil. Soil and Tillage Research 106: 137-144

Gómez, J. A., Guzmán, G. 2021. Long-term evaluation of cover crops on soil and runoff losses under trafficked conditions in olive orchards. EGU21-606, https://doi.org/10.5194/egusphere-egu21-606.

How to cite: Gomez, J. A., Montoliu, J., and guzman, G.: Long-term hydrologic effect of temporary cover crops in an olive orchard on a sandy-loamy soil, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2252, https://doi.org/10.5194/egusphere-egu22-2252, 2022.

An extensive erosion plot database measuring soil loss and runoff under natural rainfall in China was compiled to gain new understanding of the overall response of the soil loss and runoff rate to land use, slope gradient, slope length and mean annual precipitation. Our results show that land use dominates the variation of soil loss and runoff: Soil loss and runoff rates on land covered by natural vegetation are one to three orders of magnitude lower in comparison to rates on agricultural land that is strongly disturbed by anthropogenic activities. Slope gradient and slope length affect soil loss and runoff rates on cropland but there is no statistically significant effect on either soil loss or runoff rate on permanent vegetation. This implies that different extrapolating relationships need to be used for cropland in comparison to land with permanent vegetation when erosion plot data are used to assess the erosion risk over large areas. Runoff rates consistently increase with mean annual precipitation. The relationship between soil loss and mean annual precipitation is different and is nonlinear for all land use types, with a clear increase of soil loss with precipitation up to a mean annual precipitation of ca. 700 mm yr-1, a subsequent decline and a second rise when the mean annual precipitation exceeds ca. 1400 mm yr-1. This non-linear response can be attributed to the interplay of an increasing rainfall erosivity and an increasing protection due to vegetation cover with increasing mean annual precipitation. It also implies that the effect of climate change on the erosion risk is not straightforward but depends on how both rainfall erosivity and vegetation cover change with changing climate.

How to cite: Zhao, J.: Nonlinear response of soil erosion to mean annual precipitation: evidence from erosion plot data in China, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2546, https://doi.org/10.5194/egusphere-egu22-2546, 2022.

EGU22-2803 | Presentations | SSS2.3

Aggregate stability and potential erodibility of dry steppe soils 

Moritz Koza, Julia Pöhlitz, Aleksey Prays, Robert Mikutta, Klaus Kaiser, Christopher Conrad, Cordula Vogel, Kanat Akshalov, Andrey Bondarovich, and Gerd Schmidt

Erosion caused by extreme climate conditions and intense agricultural use is a severe threat to the soil quality of dry steppe ecosystems. The susceptibility of soil to erosion depends mainly on the stability of its structure against mechanical stress, which is directly related to the stability of aggregates. However, there is no generally accepted method to determine soil aggregate stability and most tests cannot be adequately linked to disruptive forces soils experience under field conditions. Thus, our main objective was to explore the aggregate stability of steppe soils against disruptive stresses by wind and water to assess their potential erodibility. We examined 132 topsoil samples from northern Kazakhstan under two land-use types (grassland and cropland), covering a large range of physico-chemical soil properties (texture, organic carbon, inorganic carbon, pH, and electrical conductivity). We combined several methods that capture the soil`s susceptibility against mechanical stresses common in the dry continental climate: An adjusted drop-shatter technique (energy input of 60 Joule) was used to estimate the stability of dry soil against weak mechanical forces, such as wind stroking over bare soil after tillage and before crop emergence. In addition, three wet-aggregate stability tests (fast wetting, slow wetting, and wet mechanical breakdown) were used to estimate the stability of soil aggregates under various stresses caused by precipitation. Results indicate that aggregate stability was generally higher for grassland than cropland soils. Aggregate stability under both land-use types decreased along with increasing sand and decreasing organic carbon contents. The drop-shatter method suggested that only 5% of cropland soils were at high risk of wind erosion (i.e., erodible fraction <60%). In contrast, the fast wetting test revealed that  98% of the samples are unstable after a heavy rain event or snowmelt. Even after a light rain event or the raindrop impact, 54-58% of the samples were unstable and prone to erosion.

We conclude that cropland in the dry steppe of Kazakhstan is much more vulnerable to the disruptive forces caused by water than by wind. Especially the severe breakdown of aggregates during heavy rain events or snowmelts goes well in line with the increasing erosion risk under current and future climate scenarios.

How to cite: Koza, M., Pöhlitz, J., Prays, A., Mikutta, R., Kaiser, K., Conrad, C., Vogel, C., Akshalov, K., Bondarovich, A., and Schmidt, G.: Aggregate stability and potential erodibility of dry steppe soils, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2803, https://doi.org/10.5194/egusphere-egu22-2803, 2022.

EGU22-2809 | Presentations | SSS2.3

The effects of Soil-Improving-Cropping-Systems (SICS) across Europe: a simulation study 

Jantiene Baartman, Joao Pedro Nunes, Luuk Fleskens, Roel Vanhout, Lingtong Gai, and Hedwig Van Delden

One of the strongest challenges for European agriculture is to simultaneously reduce its negative environmental impact and at the same time, remain competitive. A key aspect of the environmental impact is the ongoing soil degradation. Within the Soil Care project, sustainable agricultural practices were investigated that could improve soil quality, termed soil improving cropping systems (SICS); four plausible scenarios were developed with different levels of SICS uptake. In this study we aimed to evaluate how such SICS, through the different scenarios, impact crop yield, soil organic carbon content and land degradation (specifically erosion and soil water dynamics) across Europe, through the application of the PESERA and dyna-QUEFTS models. The Pan-European Soil Erosion Risk Assessment (PESERA) model simulates biophysical processes including above-ground biomass production, soil erosion risk, soil water deficit and soil humus content and was adapted and calibrated for Europe. The dyna-QUEFTS model calculates nutrient limitations and was used to calculate crop yields using PESERA output information. All four scenarios were run from current (2020) until 2050 and for two climate trajectories. Results indicate that the ‘Caring and Sharing’ scenario likely provides the best sustainability impacts (i.e. stable or increased SOC contents and reduced erosion) due to widespread uptake of SICS, compared to the ‘Race to the Bottom’ scenario, in which no SICS were taken up, although regional differences can be seen from the spatially explicit maps that the modelling produces. While, by necessity, the models are a simplification of the reality and assumptions and input data quality affect the results, a comparative analysis of the scenarios and their likely effect can still be made and will be helpful for agricultural policy development across Europe. In addition, the modelling tool provides the opportunity to further analyze which SICS are effective where and to explore the impacts of SICS implementation.

How to cite: Baartman, J., Nunes, J. P., Fleskens, L., Vanhout, R., Gai, L., and Van Delden, H.: The effects of Soil-Improving-Cropping-Systems (SICS) across Europe: a simulation study, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2809, https://doi.org/10.5194/egusphere-egu22-2809, 2022.

EGU22-2921 | Presentations | SSS2.3

Data-driven prediction of gully densities and erosion risk at the global scale 

Matthias Vanmaercke, Yixian Chen, Sofie De Geeter, Jean Poesen, Benjamin Campforts, Pasquale Borrelli, and Panos Panagos

Gully erosion is a key driver of soil erosion and land degradation in many regions worldwide, leading to important on- and offsite impacts. While numerous studies have focussed on understanding gully erosion at local scales, we have very little insights into the patterns and controlling factors of this process at a global scale. Overall, gully erosion remains notoriously difficult to simulate and predict. A main reason for this is that the complex and threshold-dependent nature of gully formation leads to very high data requirements when aiming to simulate this process over larger areas.

Here we help bridging this gap by presenting the first data-driven analyses of gully head densities at a global scale.  For this, we developed a grid-based scoring method that allows to quickly assess the range of gully head densities in a given area based on Google Earth imagery. Using this approach, we constructed a global database of mapped gully head densities for around 20,000 sites worldwide. Based on this dataset and globally available data layers on relevant environmental factors (topography, soil characteristics, land use) we explored which factors are dominant in explaining global patterns of gully head densities and propose a first global gully head density map as well as a gully erosion risk map. The latter combines gully density with estimates of the likely expansion rates of gullies. For this we use a combination of machine learning techniques and empirical modelling.

Our results indicate that there might be are around 2 billion gully heads worldwide. This estimate might underestimate the actual numbers of gully heads since ephemeral gullies (in cropland) and gullies under forest remain difficult to map. Our database and analyses further reveal clear regional patterns in the presence of gullies. Around 27% of the terrestrial surface (excluding Antarctica and Greenland) has a density of > 1 gully head/km², while an estimated 14% has a density of > 10 gully heads/km² and 4% has even a density of > 100 gully heads/km². Major hotspots (with > 50 gully heads/km²) include the Chinese loess plateau, but also Iran, large parts of the Sahara Desert, the Andes and Madagascar. In addition, gully erosion also frequently occurs (with typical densities of 1-50 gully heads/km²) in the Mid-West USA, the African Rift, SE-Brazil, India, New-Zealand and Australia.

These regional patterns are mainly explained by topography and climate in interaction with vegetation cover. Overall, the highest gully densities occur in regions with some topography and a (semi-)arid climate. Nonetheless, it is important to point out that not all gully heads are still actively retreating. Building on earlier insights into the magnitude and controlling factors of gully head retreat rates, we hypothesize that hotspots in terms of gully erosion are mostly situated in somewhat more humid and densely cultivated areas. Based on this, we explore what our current results imply for assessing actual gully erosion rates at a global scale.

How to cite: Vanmaercke, M., Chen, Y., De Geeter, S., Poesen, J., Campforts, B., Borrelli, P., and Panagos, P.: Data-driven prediction of gully densities and erosion risk at the global scale, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2921, https://doi.org/10.5194/egusphere-egu22-2921, 2022.

Scale issues in runoff and sediment delivery (SIRSD) is a hot and frontier topic in the fields pertinent to hydrology and soil erosion. This study combined bibliometric analysis and data mining to provide a systematic and holistic review of global SIRSD studies. The bibliometric results indicate that SIRSD is a comprehensive and multidisciplinary issue that has been extensively investigated with a wide variety of methods by scientists from 85 countries since the 1950s. The rapid growth of publications over the last three decades reveals that the discussions on SIRSD are attracting booming attention due to its great potentials for research and practice on various contemporary issues of environment and natural resources. Especially topics about hydrological and sediment connectivity, storm flood, nonpoint pollution, landslide and debris flow are drawing increasing concerns under the context of climate change. Thematic structure analysis indicates that SIRSD field centres the spatial scaling issues in the delivery of suspended sediment, including sediment budget analysis and sediment delivery ratio (SDR) estimation. Compared to studies dealing with erosion and sediment that mainly focus on the spatial scale, studies related to hydrological runoff and climate tend to discuss more temporal scale issues. Regarding the study distribution, most studies cluster on the time scale from an event to 10 years and the spatial scale from plot to meso-watershed (10 m2-1000 km2) and tend to appear in regions that feature free-flowing rivers with rapid agricultural development. Based on the mined 1039 pairs of data on the relationship between SDR and the watershed area, we built a global view of the spatial effect on SDR. The spatial scale effect on SDR is most prominent in Europe, followed by the USA, then the Global average, while most gentle in China due to its high topographic variability. On the contrary, the average SDR is highest in China (0.51), followed by the Global case (0.37), then the USA (0.34), while lowest in Europe (0.28) due to its low mean topographic slope. From this review, we identified several research gaps: 1) lack of multi-scale studies with nested across-scale design and studies on the spatial scale effect on runoff delivery; 2) considerable gaps among the results obtained from different regions, methods, and scales; 3) debatable and unclear questions on the spatio-temporal scale of underground water and soil loss in the karst region. Moreover, we emphasize three areas for future research: 1) scale issues of flood processes regarding extreme rainstorms under climate change; 2) scale transformation methodology and multi-scale modelling of hydrology, erosion, and sediment transport and their integrations with the climate models; 3) comparative study in different regions to bridge the regional gaps.

How to cite: Ke, Q. and Zhang, K.: Scale issues in runoff and sediment delivery: a global review and statistical analysis, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3371, https://doi.org/10.5194/egusphere-egu22-3371, 2022.

EGU22-3433 | Presentations | SSS2.3

Characteristics of the drop size distribution and rainfall erosivity of throughfall beneath a deciduous tree canopy 

Mark Bryan Alivio, Nejc Bezak, Mojca Šraj, and Matjaž Mikoš

Throughfall constitutes the majority of incident precipitation reaching the ground under any type of vegetation canopies. Its characteristics play a crucial role in understanding the sub-canopy hydrologic and erosional processes. The present study examines the drop size distribution (DSD) and erosivity of throughfall beneath the birch tree (Betula pendula Roth.) canopy during its leafed period using a Parsivel1 optical disdrometer installed in the experimental plot in the city of Ljubljana, Slovenia. The momentum and kinetic energy of throughfall drops were used to express the impact of the tree canopy on the potential erosive power of throughfall on a soil surface which was computed from the measured raindrop size and velocity. The microstructures of open rainfall and throughfall were measured simultaneously by an optical disdrometer during the two separate precipitation events that occurred on August and September 2021 with an accumulated amount of 34.4 mm in 7.3 hours and 87.6 mm in 7.6 hours, respectively. On an event basis, the preliminary results show that the throughfall DSD for both events exhibits two contrasting modes (i.e. bimodal peaks) while open rainfall has only one which is attributed to the influence of canopy interception and storage. The total number of throughfall drops is higher compared to the open field condition but are smaller in size, comprising nearly 89% of the recorded drops are below 1 mm while only 0.23% are greater than 2.4 mm. Additionally, the median-volume drop diameter (D50) of the throughfall is 1.31 mm for an extreme event (September 2021) and 0.98 mm for a medium-magnitude rainfall (August 2021) which is respectively, 70% and 79% lower than those in open precipitation. On the other hand, the raindrops from moderate and heavy precipitation have greater momentum to cause soil particle displacement with a corresponding value of 60.49 and107.83 kg m s-1 m-2 than the throughfall drops (40.99 and 87.49 kg m s-1 m-2). Similarly, a throughfall kinetic energy of 91.96 and 187.77 J m-2 is respectively 64% and 82% lower than the energy loads of raindrops in the open environment. Owing to the effects of the birch tree canopy, the distribution of throughfall reduces the erosive potential of raindrops by approximately 36% and 18% for the two selected rainfall events during the leafed period. These results accentuate the importance of understanding the different characteristics of throughfall from the open rainfall which is necessary for the prediction of soil erosion processes in areas where this tree species is abundant in nature.

 

Acknowledgments: Results are part of the CELSA project entitled “Interception experimentation and modelling for enhanced impact analysis of nature-based solution” and research programme P2-0180 supported by the Slovenian Research Agency (ARRS).

How to cite: Alivio, M. B., Bezak, N., Šraj, M., and Mikoš, M.: Characteristics of the drop size distribution and rainfall erosivity of throughfall beneath a deciduous tree canopy, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3433, https://doi.org/10.5194/egusphere-egu22-3433, 2022.

EGU22-3671 | Presentations | SSS2.3

A robust evaluation a revised version of the MMF-TWI soil erosion model 

Andres Peñuela, Vanesa Garcia Gamero, and Tom Vanwalleghem

Soil erosion represents a serious challenge for agricultural production and for the environment. Soil erosion impacts, such as reduction of fertile soil, alteration of the carbon cycle and pollution and eutrophication of water bodies, represent a significant management concern. Modelling approaches can deliver indicators on the state of soil erosion impacts and its trends, and scenarios in relation to climate and land use change. This can help define efficient and targeted mitigation strategies. However, to define such strategies, there remains a lack of modelling approaches able to provide with long term baseline information which to measure the success of the mitigation strategies as well as model evaluation approaches robust enough so model results can be trusted by users, including researchers and land managers. The MMF-TWI soil erosion model has demonstrated its ability to simulate soil erosion and the effect of agricultural management practices over centennial scales in humid environments. However, it needs to be revised and evaluated before the model can be applied more widely in other climate areas. In this study, we present a revised version of MMF-TWI incorporating infiltration excess overland flow and a robust and innovative multi-proxy model evaluation approach in an olive orchard catchment in South Spain. The evaluation approach consists of a) the comparison of model simulations with estimations of past soil loss rates obtained from both Pu fallout radionuclide tracers and tree mound measurements and b) the evaluation of the plausibility of the model behaviour by means of global sensitivity analysis.

How to cite: Peñuela, A., Garcia Gamero, V., and Vanwalleghem, T.: A robust evaluation a revised version of the MMF-TWI soil erosion model, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3671, https://doi.org/10.5194/egusphere-egu22-3671, 2022.

EGU22-3704 | Presentations | SSS2.3

Influence of terraced fields on eroded terrain indicators:take the second of gullied rolling area on the Loss Plateau as an instance 

Bingjie Qiao, Qinke Yang, Chunmei Wang, Guowei Pang, and Endan Li

In order to study the influence of artificial terrain (terraced fields) on topographic factors, this paper, based on the basic principles of soil erosion and soil conservation, uses aerial photogrammetry to obtain high-precision DEM in Zhifanggou watershed, and extracts the slopes of terraced and non-terraced areas , Slope、Length and Slope Length factor, Topographic Wetness Index, Connectivity Index and Relative Path Impact Index, and analyze the changes of these factors to understand the impact of terraces on eroded terrain. The research shows that: (1) The construction of terraces makes the slope slow down, the slope length is cut off, and the LS factor becomes smaller; (2) The construction of terraced fields reduces the connectivity at the field surface and increases the connectivity at the ridge; the IC value of terraced fields is greatly affected by slope, and the IC value of non-terraced fields is greatly affected by slope length. (3) With the increase of slope, the connectivity of sediment increases and soil erosion intensifies; runoff accumulation is likely to occur in local depressions, resulting in increased connectivity of sediment. (4) The relative path impact index is effective for identifying erosion risk areas susceptible to changes in water flow paths. This paper expounds the influence of terraced fields on eroded topographic indicators and hydrogeomorphology, which is of great significance for accurately assessing the impact of terraced fields on soil erosion and for soil erosion control in the Loess Plateau.

How to cite: Qiao, B., Yang, Q., Wang, C., Pang, G., and Li, E.: Influence of terraced fields on eroded terrain indicators:take the second of gullied rolling area on the Loss Plateau as an instance, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3704, https://doi.org/10.5194/egusphere-egu22-3704, 2022.

EGU22-4017 | Presentations | SSS2.3

First gully probability map for Africa at 30m resolution 

Sofie De Geeter, Matthias Vanmaercke, Gert Verstraeten, Jean Poesen, and Benjamin Campforts

Gully erosion is an important process of land degradation that threatens soil and water resources worldwide. However, our ability to simulate and predict this process is still very limited, especially on the continental scale. Nevertheless, such models are essential for the development of appropriate land management strategies, but also to better quantify the role of gully erosion in sediment budgets. One of the main challenges is that patterns of gully erosion depend on regional patterns of controlling factors (e.g., rainfall, lithology, soils), but are also strongly determined by local factors (e.g., topography, vegetation cover, land management). This greatly increases the complexity of potential models and their data requirements. We seek to bridge this gap by developing a robust empirical model capable of predicting gully erosion at high resolution on the scale of Africa with feasible data requirements.

More precisely, we are developing a logistic probability model at 30m resolution for the entire African continent that predicts the likelihood of gully head occurrence by using GIS and spatial data sources that are available on the continental scale.  Although empirical in nature, the factors included in this model are consistent with the current process understanding of gully erosion. To calibrate and validate this model, we make use of an extensive database of 44 000 gully heads mapped over 1680 sites, randomly distributed across Africa. The exact location of all gully heads was manually mapped by trained experts, using high resolution optical imagery available in Google Earth. This allows to extract very detailed information at the level of the gully head, such as the local slope and the area draining to the gully.

Our first analyses show that gully occurrences mainly depend on topography (slope and to some extent contributing area), soil characteristics (i.e., mainly silt fraction) and vegetation cover. Combined, these factors already allow for robust and fairly reliable predictions of gully head occurrences (with AUCs of the logistic regression model around 0.7). Better incorporating the role of rainfall and climate will likely result in better predictions which is ongoing work.

Based on these results we present a first gully probability map for Africa at 30m resolution. Besides providing essential information on gully density hotspots, this offers great potential to couple our gully density model to a gully retreat rate model and to make a first assessment of gully erosion rates at the continental scale of Africa.

How to cite: De Geeter, S., Vanmaercke, M., Verstraeten, G., Poesen, J., and Campforts, B.: First gully probability map for Africa at 30m resolution, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4017, https://doi.org/10.5194/egusphere-egu22-4017, 2022.

EGU22-4173 | Presentations | SSS2.3

Quantifying the impact of soil erosion on soil security by using alternative fallout radionuclides 

Vanesa García-Gamero, Andrés Peñuela, José Luis Mas, Adolfo Peña, Santiago Hurtado Bermúdez, and Tom Vanwalleghem

Soil erosion by water is a severe problem throughout the world that threatens soil security and the health of water bodies. This problem is aggravated by global climate change, leading to more intense rainfall and drought events. Moreover, soil erosion also intensifies the impacts of drought by reducing the soils' capacity to hold water and maintain sustainable crop yields. This project aims to evaluate the current status and future evolution of soil security in the Guadalquivir basin. For this purpose, we use a combination of predictive modelling and estimations of long-term soil erosion-deposition rates based on field observations and measurements of fallout radionuclide (FRN) tracers in representative catchments. We test and apply a novel method for analyzing 239+240Pu isotopes, that offers a much cheaper way of analysis and hence a potential new standard to estimate long-term soil erosion-deposition rates. Spatially distributed estimations of long-term soil erosion-deposition rates are used to calibrate and evaluate the soil erosion models RUSLE and MMF-TWI which will then be used to assess present and future soil resource status in the catchments of study. Here, we present the preliminary results of this project, particularly the results obtained by the analysis of 239+240Pu  isotopes in an olive grove catchment and how these results compare against the more established 137Cs analysis and estimations of soil truncation based on measurements of the height of olive tree mounds.

How to cite: García-Gamero, V., Peñuela, A., Mas, J. L., Peña, A., Hurtado Bermúdez, S., and Vanwalleghem, T.: Quantifying the impact of soil erosion on soil security by using alternative fallout radionuclides, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4173, https://doi.org/10.5194/egusphere-egu22-4173, 2022.

EGU22-4953 | Presentations | SSS2.3

Impact of plant cover on soil erosion, and barriers to cover crop use in Spanish orchards. 

Helena Ripley, Carly Stevens, and John Quinton

Soil erosion is high in hillside orchards in Spain. Climate change is causing an increase in the length of dry periods and intensity of rainfall, which exacerbates soil loss from fields. Due to the lack of rain during the summer, orchard farmers, concerned about water competition for tree crops, remove ground cover. However, without raindrop interception the soils are vulnerable to erosion and gullying. While cover crops between tree crops are beneficial in controlling soil erosion, farmers are slow to take up this practice. Both a mesocosm experiment identifying the value of vegetation cover, and survey responses from farmers about erosion management practices are outlined below.

Rainfall simulation was used in a mesocosm experiment to determine the effect of plant cover on sediment loss. Three species native to Spain were used in five treatments consisting of Brachypodium distachyon, Medicago sativaSilene vulgaris, a mix of the three species, and a bare plot. The plots were raised to a 10o angle before subsampled runoff and sediment was collected under simulated rainfall. A questionnaire was sent to crop tree farmers in Spain asking about their experiences of soil erosion, techniques used to combat it, if any, and their views on methods of soil and water conservation.

Significantly higher (p < 0.05) rates of sediment loss were measured from the bare plots (34.26 ± 19.85 g min-1), relative to the vegetated ones (6.13 ± 8.27 g min-1). This indicates the importance of cover crops to reduce soil erosion. The farmers responding to the questionnaire are aware of this. From a total of 26 respondents, 88% believe that cover crops decrease erosion. However, 58% think that lack of knowledge about effective methods of erosion control is a barrier to implementing techniques.     

This presentation will give an overview of the methods used in carrying out rainfall simulation and the questionnaire, in addition to the results gathered.

How to cite: Ripley, H., Stevens, C., and Quinton, J.: Impact of plant cover on soil erosion, and barriers to cover crop use in Spanish orchards., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4953, https://doi.org/10.5194/egusphere-egu22-4953, 2022.

EGU22-5566 | Presentations | SSS2.3

Modelling the spatial variation in susceptibility to gully initiation and stabilization in the Southern Main Ethiopian Rift Valley 

Liuelsegad Belayneh, Olivier Dewitte, Guchie Gulie, Jean Poesen, Cornelis Stal, and Matthieu Kervyn

Gullying is a common soil erosion process in Southern Ethiopia, damaging agricultural landscapes and contributing sediments to water bodies. River catchments extending across the rift escarpment within lakes Abaya and Chamo Basin in the Southern Main Ethiopian Rift are areas experiencing such problems. Impact of gullying depends on the state of activity of gullies, i.e. inactive gullies might have had a role in the landscape formation, but they can now be considered stable and not contributing to sediment delivery to the downstream, unlike the active gullies. In order to reduce the impact of active gullies, understanding the conditions under which gullies initiate, expand and stabilize is vital. In this paper, the location where new gullies initiate and where they stabilize is modelled spatially. To determine factors controlling for the initiation of new gullies, the potential gully initiation points were extracted along more than 4520 active gullies using slope and drainage area thresholds. The susceptibility of gully initiation is then modelled using logistic regression and frequency ratio methods, with a set of 14 predisposing factors. The conditions for gully stabilization are assessed by modeling the location of the head of more than 1080 inactive gullies. Highly susceptible areas for gully initiation are mainly modelled in rejuvenated landscapes downslope of knickpoints, where steep slopes have been recently formed by knickpoint propagation.most susceptible areas for gully initiation are observed in concave slopes with high topographic wetness index, whereas heads of inactive gully stabilized when slopes become convex with a lower topographic wetness index. The area under receiver characteristics curve (AUC) of the validation data ranges from 0.75 to 0.85 for all susceptibility models; prediction rate of gully initiation and stabilization vary from 70 to 93%. Our results indicate that the applied models are reliable and have very good prediction performance of gully initiation and stabilization and that such approach contrasting the gully initiation point and the gully head location enable to better understand the gullying process. The resulting susceptibility maps are a step towards contributing to the decision-making process on the optimized locations of soil and water conservation measures, and thus contributing to landscape sustainability.

How to cite: Belayneh, L., Dewitte, O., Gulie, G., Poesen, J., Stal, C., and Kervyn, M.: Modelling the spatial variation in susceptibility to gully initiation and stabilization in the Southern Main Ethiopian Rift Valley, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5566, https://doi.org/10.5194/egusphere-egu22-5566, 2022.

EGU22-6154 | Presentations | SSS2.3

Fallout radionuclides indicate a 10% loss of European topsoil in 50 years 

Katrin Meusburger, Olivier Evrard, Cristiano Ballabio, Pasquale Borrelli, Michael Ketterer, Kristof van Oost, Florian Wilken, and Christine Alewell

Quantifying soil erosion is a major research challenge due to erosion's episodic character and spatial variation. Fallout radionuclides as 239+240Pu and 137Cs are powerful tools to assess net soil losses integrated over long periods applicable to most regions of the world. The traditional approach of the FRN method is based on the comparison between an inventory (total radionuclide activity per unit area) at a given sampling site and that of an undisturbed reference site (e.g., located in a flat and well-vegetated area). Compared to reference, a decrease in the FRN inventory indicates erosion and an increase indicating deposition of sediments and associated FRN. So far, FRN based assessment was restricted to a regional/catchment scale as spatially distributed data of reference inventories was missing.

In this study, we aim at upscaling the FRN approach to a central area of Europe covering France, North Italy, South Germany, and Belgium using the Land Use/Cover Area frame Survey – LUCAS soil sample bank. Both fallout sources left a specific radionuclide imprint in European soils. First, plutonium was used to quantify global versus Chernobyl fallout contributions to 137Cs found in European soils. Subsequently, spatial prediction models (general additive models) allowed reconstructing the global versus Chernobyl 137Cs fallout pattern across national boundaries. The definition of these 137Cs and the Pu baseline maps allows assessing soil redistribution rates at n=137 cropland sites with both FRNs across the study area. We selected barley, wheat, maize, and vineyard plots covering different slope angles as cropland sites. For both FRNs, differences between the reference and site-specific FRN inventory show an inventory and associated topsoil (0-20cm) loss of approximately 10% since 1963. Converting these inventory changes with a simple mass balance model to soil redistribution rates results in average soil erosion rates of 8.8 ± 6.3 t/ ha yr, assuming a tillage depth of 20 cm. Although the involved uncertainties are large, these net erosion rates exceed the expected magnitude.

How to cite: Meusburger, K., Evrard, O., Ballabio, C., Borrelli, P., Ketterer, M., van Oost, K., Wilken, F., and Alewell, C.: Fallout radionuclides indicate a 10% loss of European topsoil in 50 years, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6154, https://doi.org/10.5194/egusphere-egu22-6154, 2022.

EGU22-7414 | Presentations | SSS2.3

Logging residues promote positive interactions between soil erosion, soil functioning and soil macrofauna diversity in young rubber plantations in Africa. 

Louis Mareschal, Jean-Louis Janeau, Marianne Legrand, Frédéric Gay, Aymard Kouakou, Alain Brauman, Antoine Manizan, Jean-Paul Laclau, and Thibaut Perron

Soil erosion causes major problems of land degradation in agricultural systems leading to losses of soil fertility. Rubber tree is one of the main tropical perennial crops with about 13 million hectares of plantations worldwide in 2018. In the early stage of a rubber plantation, soil is especially vulnerable to degradations given the low canopy cover and heavy soil surface disturbance related to clear-cutting of the previous plantation. This study aims at assessing runoff and soil losses as well as understanding the main soil factors influencing soil erosion in a young rubber plantation in Côte d’Ivoire. We intensively measured soil runoff, soil detachment, soil structure maintenance and soil macrofauna for 2.5 years under different managements of logging residues and the use or not of a legume cover crop. The results showed that the restitution of logging residues has reduced runoff by 6 and soil losses by 14 compared to plot without logging residues, over the study period. The planting line where soil is kept bare was by far the most critical area in term of soil erosion. The restitution of logging residues significantly improved soil structure maintenance as well as soil macrofauna diversity. We found strong relationships between runoff, soil losses, soil structure and soil macrofauna diversity. These results evidence that the restitution of logging residues and the sowing of cover crop are appropriate agroecological practices in young rubber plantations. Our results suggest that keeping a cover in the planting line could be the most relevant lever to limit soil erosion in the context of the study.

How to cite: Mareschal, L., Janeau, J.-L., Legrand, M., Gay, F., Kouakou, A., Brauman, A., Manizan, A., Laclau, J.-P., and Perron, T.: Logging residues promote positive interactions between soil erosion, soil functioning and soil macrofauna diversity in young rubber plantations in Africa., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7414, https://doi.org/10.5194/egusphere-egu22-7414, 2022.

EGU22-7717 | Presentations | SSS2.3

Using VIS-NIR reflectance spectroscopy and magnetic susceptibility to assess soil redistribution due to erosion 

Aleš Klement, Miroslav Fér, Radka Kodešová, Antonín Nikodem, Tereza Zádorová, and Vít Penížek

Soil degradation due to water erosion is one of the greatest problems of agricultural soils worldwide. To be able to map the extent of soil degradation and consequently propose actions for soil improvement, an effective approach is needed. Soil organic carbon (SOC) content and its time fluctuations is one of the key features characterizing the given site and occurring processes. It is widely accepted as the main soil quality indicator and therefore can be used for soil degradation assessment. Traditional laboratory techniques (dry combustion, wet oxidization) of soil organic carbon determination are usually labor intensive and time consuming, which means they are not suitable for large sample collections (e.g., large areas or continual monitoring). Therefore, there is a need for fast, reliable, and cost-effective techniques. Our previous study documented that the VIS-NIR reflectance spectroscopy and magnetic susceptibility can be a very efficient tool for SOC mapping with the Chernozem (a loess region of South Moravia, Czech Republic) areas heavily affected by water erosion. Within this area colluvial soils with up to an about 4 m deep humus enriched horizon were developed. Distribution of soil properties within the colluvial soil profiles at several positions were evaluated using standard and novel methods to distinguishing the different sedimentation phases and understanding colluvial soil formation. The same study was also performed in another two locations (Cambisol and Luvisol areas). Results showed that while both methods could be used for estimation of SOC distribution within the soil profiles in the Chernozem area, in the other two areas the VIS-NIR reflectance spectroscopy method was less accurate and magnetic susceptibility was inaccurate because there was no correlation between SOC and content of ferrimagnetic particles.

 

Acknowledgement: Study was supported by the Czech Science Foundation, project "Pedogenesis of colluvial soils: a multidisciplinary approach in modeling the dynamics of development in the soil-landscape environment" (No. 21-11879S) and also by the European Structural and Investment Funds, projects NutRisk (No. CZ.02.1.01/0.0/0.0/16_019/0000845).

How to cite: Klement, A., Fér, M., Kodešová, R., Nikodem, A., Zádorová, T., and Penížek, V.: Using VIS-NIR reflectance spectroscopy and magnetic susceptibility to assess soil redistribution due to erosion, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7717, https://doi.org/10.5194/egusphere-egu22-7717, 2022.

EGU22-8179 | Presentations | SSS2.3

Mitigation of surface runoff and soil erosion in potato farming 

Matthias Konzett, Elmar Schmaltz, and Peter Strauss

The potato is known as a particularly erosion-prone crop due to its late seed development and the unique structure of its seedbed (wide-rows). Therefore, improved tillage practices are needed in order to counteract and mitigate adverse effects of erosion.

This research evaluates the effectiveness of three mitigation measures – furrow greening, micro-dams heaped between furrows, and greened micro-dams – over a three-year study period in Lower Austria. Runoff plots were used to quantify surface runoff and collect each treatment's eroded material during precipitation events. The contents were emptied after each event, dried, weighed, and, if possible, analyzed for grain size distribution and nutrient composition. Additionally, the soil water content of the ridges and furrows and the potato yield was determined for each treatment in the 2021 field campaign to evaluate further effects of each treatment.

Results show that with a furrow greening soil erosion was reduced between 48 – 83% compared to the control treatment. By heaping micro-dams, soil erosion was reduced by 79 – 98%, and with the additional greening of micro-dams sediment yield was lowered by 94 – 99%. Micro-dams increased the water content in the furrows after a precipitation event but not in the ridges. Regarding potato yield, no significant difference was observed between treatments.

The results of this study show the potential of micro-dams to reduce on-site and off-site effects of soil erosion on sloped agricultural land. Depending on the steepness of the slope and the intensity of precipitation events, breaking of micro-dams can occur and therefore lose their mitigation effect. Through the additional greening of micro-dams, further stabilization could be reached, thus withholding precipitation events of higher intensities.

How to cite: Konzett, M., Schmaltz, E., and Strauss, P.: Mitigation of surface runoff and soil erosion in potato farming, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8179, https://doi.org/10.5194/egusphere-egu22-8179, 2022.

EGU22-9179 | Presentations | SSS2.3

Mapping and analysing “badass gullies” in the loess regions of Lower Austria 

Sarah Diem and Ronald Pöppl

Gully erosion represents a core process of land degradation and a serious threat to ecosystems and their services. Loess regions in the northern part of Lower Austria can be considered as particularly susceptible to the development of gullies. However, relatively little attention has been paid to gully erosion in these areas (e.g. neither gully inventories, nor information on gully characteristics are available). Therefore, the aim of this study was to map, document and geomorphometrically analyse gullies and to further delineate gully hot spot areas in the loess regions of Lower Austria.
A Digital Elevation Model (DEM) with a spatial resolution of 1 m has been used to visualise, map and geomorphometrically analyse gully erosion features in the research area in a GIS. Moreover, calculations of gully volumes have been adduced to determine the amount of eroded material in a selected gully hot spot catchment. The main focus throughout the study has been put on sunken lanes and permanent gullies, which have been explicitly identifiable in this region.
The results show strong concentrations of gullying in the loess areas of the eastern Waldviertel and the Weinviertel regions, both being characterised by intensive agricultural use. Sunken lanes are mainly found in the hilly and terraced landscapes of vineyards, while clusters of permanent gullies are usually found in agricultural fields but also forests surrounded by agriculture and used for silviculture. The hot spot areas exhibit a gully density of up to 17 permanent gullies per km² and 5 sunken lanes per km². Permanent gullies are often of remarkable size, showing volumes of up to 100,000 m³, more than 500 m in length and depths reaching 20 m and more. The longest observable sunken lane has a length of 1.6 km and a volume of nearly 70.000 m³.
More detailed results will be presented at the EGU General Assembly 2022.

How to cite: Diem, S. and Pöppl, R.: Mapping and analysing “badass gullies” in the loess regions of Lower Austria, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9179, https://doi.org/10.5194/egusphere-egu22-9179, 2022.

EGU22-9930 | Presentations | SSS2.3

Reservoir siltation mapping uncertainties – experiences from South Africa 

Jussi Baade, Kevin Zoller, Wilhelm van Zyl, and Hayley Cawthra

Mapping reservoir siltation is an often-used method for assessing sediment yield and soil erosion from catchments. An advantage of this approach is that measurements can potentially provide mean values that represent timeframes of several decades and thus overcome the bias induced by climate fluctuations, especially in semi-arid and arid regions. Furthermore, reservoir siltation mapping can be performed repeatedly, and thus repeated sediment yield trends over time can be derived. There are several studies that report sediment yield estimates based on reservoir siltation surveys, however, information on the uncertainties involved in these measurements is not frequently reported.

In October 2019 and March 2020, we conducted reservoir siltation surveys of eight mid-size (~ 10 mio m³ water storage capacity), filled and dried-out reservoirs in South Africa. The water-filled reservoirs were surveyed using single beam, single frequency echosounders mounted to a boat. The dried-out reservoirs were surveyed using differential GNSS and a Terrestrial Laser-Scanner (TLS) with a scanning range of up to 1 km deployed at multiple scanning positions.

In this contribution we present survey results, report on the issues encountered during the surveys and the uncertainties observed in the results. For the water-filled reservoirs we derived depth measurement uncertainties from the survey leg intersection points. Here, the mean measurement error is in the order of 0.1 m (p= 0.05). When this uncertainty of the volume estimation is applied to the water storage capacity of the dams, the resulting uncertainties are inthe order of a few percent, only. However, if this volume estimation uncertainty refers to the volume of the sediment at the bottom of the reservoirs, the relative error is can be in the order of a few ten percent. From this we conclude, that depending on the sediment inflow, it may take several decades before a repeated survey can establish a meaningful trend in sediment yield from the catchment beyond the measurement uncertainties involved.

How to cite: Baade, J., Zoller, K., van Zyl, W., and Cawthra, H.: Reservoir siltation mapping uncertainties – experiences from South Africa, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9930, https://doi.org/10.5194/egusphere-egu22-9930, 2022.

EGU22-10460 | Presentations | SSS2.3

Development of continuous and discontinuous gullies in the Moldavian Plateau of Romania 

Lilian Niacsu, Ion Ionita, Jean Poesen, and Michael Fullen

Intense gully erosion has sculptured remarkable channels into the Moldavian Plateau of eastern Romania. These permanent gully types are: (1) discontinuous gullies, mostly located on hillslopes and (2) large continuous gullies in valley bottoms.

This study seeks to improve our understanding of the development of 1) continuous gullies over six decades (1961-2020) and 2) discontinuous gullies over variable time-scales (mostly 17-30 years, but also including data collected since 1961) by providing quantitative information on gully evolution and processes. Several methods were used to measure and estimate gully growth. These include intensive field monitoring using the ‘stakes grid method,’ repeated levelling until 2019, analysis of aerial photographs and Caesium-137 analysis.

            As regards the continuous gullies, results indicate that gully erosion rates have significantly decreased since 1981. The mean linear gully head retreat rate (LGHR) of 7.7 m yr-1 over 60 years was accompanied by a mean areal gully growth rate in plan (AGG) of 213 m2 yr-1.  However, erosion rates between 1961-1980 were 4.0 times larger for LGHR and 5.9 times more for AGG compared to those for 1981-2020. Two regression models indicate that annual precipitation (P) is the primary controlling factor, explaining 57% of the LGHR and 53% of the AGG rate. The contributing area (CA) follows, with ~33%. Only 43% of total change in LGHR and 46% of total change in AGG results from rainfall-induced runoff during the warm season. Accordingly, the cold season (with associated freeze-thaw processes and snowmelt runoff) has more impact on gully development. The runoff pattern, when flow enters the trunk gully head, is largely controlled by the upper approaching discontinuous gully.

The discontinuous gullies occur as single, successive chains or clusters. These are associated with small catchments (usually <100 ha in area) and ephemeral peak runoff discharges are usually ≤2 m3 s-1. The mean LGHR for 31 gullies was 0.97 m yr-1, indicative of a relatively small erosion rate. However, their ‘pulsatory’ development was mostly controlled by runoff accommodation when runoff enters and is conveyed through a gully. We further analysed the changing runoff pattern or ‘variable-geometry flow.’ The R2 of the relation between LGHR or AGG and  (CA) indicated a weak correlation for discontinuous gullies.

How to cite: Niacsu, L., Ionita, I., Poesen, J., and Fullen, M.: Development of continuous and discontinuous gullies in the Moldavian Plateau of Romania, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10460, https://doi.org/10.5194/egusphere-egu22-10460, 2022.

EGU22-10994 | Presentations | SSS2.3

Soil erosion under extreme rainfall events: detecting and modelling using a radar-runoff-nowcasting-system 

Rossano Ciampalini, Sandro Moretti, Ascanio Rosi, Andrea Antonini, and Alberto Ortolani

Soil erosion by water is one of the most widespread forms of soil degradation in Europe, where the relevant annual cost for agricultural productivity loss is estimated to be around 295 million euros. Under climate changes, soil erosion due to rainfall is dramatically increasing, for the most part because of an increasing of the frequency of extreme, localised events.

Here, we present the MSCA-Horizon2020 project, focused on understanding and quantifying extreme rainfall effects on soil erosion, by means of ground-based weather-radar observations and hydrological modelling at regional scale (namely in Tuscany, central Italy).

In critical hydrological phenomena, such as intense surface runoff, flooding and soil erosion, the spatiotemporal extent is crucial in the development of the processes. This feature significantly  affects the impact and the evolution of critical phenomena, especially during extreme events. Therefore, an approach directed to refine as much as possible the knowledge of these dynamics is recommended both at the monitoring and the modelling level.

Using an approach based on statistical analyses of rainfall data from ground-based radar and modelling, this project aims to: 1) Quantify on historical data the spatiotemporal distribution of extreme rainfalls / runoff and soil erosion over the last years, 2) Build a platform to model runoff and soil erosion during extreme events in real-time, 3) Simulate in real-time runoff and soil erosion behaviours related to extreme rainfalls, integrating the current regional-warning-system for the extreme weather events.

How to cite: Ciampalini, R., Moretti, S., Rosi, A., Antonini, A., and Ortolani, A.: Soil erosion under extreme rainfall events: detecting and modelling using a radar-runoff-nowcasting-system, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10994, https://doi.org/10.5194/egusphere-egu22-10994, 2022.

EGU22-11215 | Presentations | SSS2.3

The fuzzy effect of soil conservation practices on runoff and sediment yield from agricultural lands at the catchment scale 

Roey Egozi, Nadav Bekin, Yaakov Prois, and Jonathan Laronne

Intensive soil degradation of agricultural lands during the past decades led local authorities in the Harod Catchment, northern Israel, to implement soil and water conservation practices. Herein, for the first time in Israel, we quantified the impact of these practices on water discharge, runoff/rainfall, and sediment yields at the catchment scale. We monitored two neighboring tributaries of the Harod River: Shkedim and Shunem. Both are dominated by intensive agriculture, are similar with respect to soils and rain patterns, but differ in terms of tillage and soil conservation practices - implemented in abundance in the Shkedim catchment. Inner-catchment processes were studied at the plot scale using a structure for motion photogrammetry, utilizing an unmanned aerial vehicle. At the catchment scale, we used airborne LIDAR to provide a better understanding of the extent to which different geomorphometric characteristics might influence flood discharge, suspended sediment concentration, and yield. We monitored the impact of temporal changes in vegetation cover with remote sensing. Intense storms occurring in early winter when the soil was bare and freshly tilled generated much runoff and sediment. During three field seasons, measured mean annual sediment yields were 820 and 2,000 t km−2 y-1 for Shkedim and Shunem, respectively. The benefits of soil conservation practices applied in the Shkedim catchment are manifested by lower runoff yields and peak discharges. Conservation practices together with milder topography were identified to limit flow continuity and to promote sinks, while in the Shunem, tillage parallel to contour lines induced higher hydro-geomorphic connectivity. Still, Shkedim soil loss is high due to cultivation of riparian zones, lack of maintenance of engineered structures, and a larger area of bare soil during winter due to rotational cropping. These blur the efficiency of soil conservation practices at the catchment scale.

How to cite: Egozi, R., Bekin, N., Prois, Y., and Laronne, J.: The fuzzy effect of soil conservation practices on runoff and sediment yield from agricultural lands at the catchment scale, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11215, https://doi.org/10.5194/egusphere-egu22-11215, 2022.

EGU22-11484 | Presentations | SSS2.3 | Highlight

Processes controlling the transportation of microplastics in agricultural soils 

Emilee Severe, Ben Surridge, and John Quinton

Every year 12.5 million tons of plastic are used in agricultural production across the globe with plastic films accounting for 75% of this plastic. Once added to the soil, removing agricultural plastic is challenging as exposure to sunlight and other environmental elements fragment the plastics into macro- and microscopic pieces. In addition to this direct input, agricultural soils accumulate microplastics from several other sources e.g., biosoilds input, runoff from roads and atmospheric deposition. Soils are usually thought of as sinks for plastic waste but growing literature suggests mismanaged agricultural soils could be significant sources of plastics to aquatic and other terrestrial environments. In this study, we investigated the process of microplastic movement in response to rainfall and overland flow. We compared the movement of two types of plastic (linear low-density polyethylene and acrylic) in two size fractions with sand particles in rainfall simulation experiments. We examine the extent to which plastic particles are preferentially eroded compared to fine sand particles, alongside the relative importance of particle size and polymer type for controlling the erosion of plastics from soil.

How to cite: Severe, E., Surridge, B., and Quinton, J.: Processes controlling the transportation of microplastics in agricultural soils, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11484, https://doi.org/10.5194/egusphere-egu22-11484, 2022.

EGU22-13030 | Presentations | SSS2.3

Slope incline as a factor influencing the ejection of two-phase soil splashed material 

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

Soil, i.e. the natural outer layer of the lithosphere and an important component of many ecosystems, may be subjected to various degradation processes dependent on different factors. One of the forms of physical degradation is water erosion, where the first stage is the splash phenomenon caused by water drops hitting the soil surface during rainfall. This process results in detachment and ejection of splashed material and transport thereof over different distances. One of the factors that influences the magnitude of soil splash is the incline of the surface (slope). The aim of this study was to check the effect of the slope on the course of the splash phenomenon caused by single-drop impact, with respect to the mass and proportions of the ejected material, taking into account its division into solid and liquid phases i.e. soil and water.

The measurements were conducted on three types of soil differentiated in terms of texture, in moistened conditions (pressure head corresponding to -1.0 kPa). Three slope inclines were investigated: 5°, 15°, and 30°. After a single-drop impact (with a diameter of 4.2 mm), the ejected material was collected using a splash cup. Based on this the following quantities of splashed material were measured: the total ejected mass, the mass of the ejected solid phase and the mass of the ejected liquid phase. Also, the distribution and proportions (soil/water) of the splashed material were analysed in both the upslope and downslope directions. The results showed that: a) the change of slope had a variable influence on the measured quantities for different soils; b) the measured values were mainly influenced by the texture; c) with the increase of slope, the splashed material was mostly ejected in the downslope direction; d) the ejected material consisted mostly of water, this occurred for material ejected both upslope and downslope.

 

This work was partly financed from the National Science Centre, Poland; project no. 2018/31/N/ST10/01757.

 

References:

Beczek M., Ryżak M., Mazur R., Sochan A., Polakowski C., Bieganowski A.: Influence of slope incline on the ejection of two-phase soil splashed material. PLOS ONE 17(1): e0262203, 2022

How to cite: Beczek, M., Ryżak, M., Mazur, R., Sochan, A., Polakowski, C., and Bieganowski, A.: Slope incline as a factor influencing the ejection of two-phase soil splashed material, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13030, https://doi.org/10.5194/egusphere-egu22-13030, 2022.

EGU22-13197 | Presentations | SSS2.3

How do runoff and soil loss vary over time in subtropical areas? 

Dimaghi Schwamback, Jullian Sone, Gabriela Gesualdo, Alex Watanabe, Felipe Zepon, Lucas Scutti, Luis Castro, and Edson Wendland

Brazil is seen as a potential world breadbasket in which an increase of around 40% in its current production is expected by the year 2050 to attend food demand imposed by world population growth. The disorderly intensification of agriculture results in erosion, losses and exhaustion of soil nutrients, abandonment of the area, and opening of new agricultural ones. The authors were motivated by the questioning of how significant the changes at surface runoff and soil loss over time are. Thus, this work aimed to investigate the temporal component (10 years) in the surface runoff and soil loss of a typical soil found in the Cerrado biome (Brazilian Savanah), an area that shelters a large part of the national agricultural production. The study area is located in Itirapina municipality, central region of the State of São Paulo, Brazil (22º10'S, 47º52'W, elevation of 790m). The region's mean annual rainfall is about 1486 mm and humid subtropical climate, with hot summers and dry winters. The soil type found is the Orthic Quartzarenic Neosol (RQo), which occupies approximately 15% of the Cerrado biome superficial area. Surface runoff and sediment yield are monitored in rectangular experimental plots (5 meters wide, 20 meters long, and 9% slope). Monitoring takes place in six plots kept under bare soil (three plots constructed in 2011, called P1, and another three plots constructed in 2020, called P2). Runoff flows downhill and is automatically registered through large tipping buckets and then stored in large boxes (360 liters). Runoff samples are collected after each precipitation event to identify the amount of sediment in the liquid sample. To study the pedological characteristics, soil samples were collected at different depths (15, 30, 60, and 90 centimeters) of the experimental plots in 2013 and 2022 and sent to laboratory analyses such as granulometric, porosity, density, and hydraulic conductivity. It was observed that P1 has a runoff volume 10.3% greater than P2 under the same dimensions and slope. Runoff usually starts first and lasts longer at P1 than P2. P1 soil exposure to precipitation and solar radiation over 10 years modified the superficial pedological characteristics, causing: clogging of the pores, loss of superficial soil layer, particle breakdown, and deposition near the outlet plot. Currently, the sediment carried at P1 is rich in soil particles of larger dimensions while P2 has high clay contents. The differences in the hydrological responses of the experimental plots were confirmed through laboratory analyses demonstrating that P1 has lower clay, organic matter, and porosity contents in the plot surface layers compared to P2. Most runoff and soil loss monitoring are limited to campaigns covering isolated events up to 1 year, but records over a long time as given above are scarce, especially in tropical and subtropical areas, demonstrating its relevance to the soil research community.

How to cite: Schwamback, D., Sone, J., Gesualdo, G., Watanabe, A., Zepon, F., Scutti, L., Castro, L., and Wendland, E.: How do runoff and soil loss vary over time in subtropical areas?, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13197, https://doi.org/10.5194/egusphere-egu22-13197, 2022.

EGU22-2258 | Presentations | SSS2.4

Enabling carbon farming: presentation of a robust, affordable and scalable method of carbon stock estimates 

Sven Verweij, Tessa van der Voort, Maarten van Doorn, Yuki Fujita, and Gerard Ros

The main hurdle in instrumentalizing agricultural soils to sequester atmospheric carbon is a development of methods to measure soil carbon stocks on farm level which are robust, scalable and globally available. We present a method for soil carbon stock assessment using satellite data, stratified sampling design, direct soil measurements via mobile soil sensors and machine learning, which fulfills these criteria. The method has been tested and applied for multiple farms in Europe and the United States on agricultural fields with variable crop rotations, soil types and management history. Results show that the estimates are precise, repeatable and that the approach is rapidly scalable and is able to detect variation in soil carbon stock up to a 10 meter resolution. Carbon stocks in the top 30 cm range between 17-55 ton C/hectare. Error propagation analysis showed that the error associated with the soil sensor on the level of farm C stocks is less than 5%. This precision can be achieved with as few as 0.5 field samples per hectare for farms varying from 60 to 250 hectares, ensuring affordability and scalability of the method. The method is globally applicable because it uses covariates which are also globally available. These findings can enable the structural and widespread implementation of carbon farming with a standardized method. In future, as the calibration dataset increases, even less field data will be needed to obtain robust C stock estimates.

How to cite: Verweij, S., van der Voort, T., van Doorn, M., Fujita, Y., and Ros, G.: Enabling carbon farming: presentation of a robust, affordable and scalable method of carbon stock estimates, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2258, https://doi.org/10.5194/egusphere-egu22-2258, 2022.

EGU22-2919 | Presentations | SSS2.4

Agro-hydrological modeling of soil water retention measures to increase crop system resilience to extreme events 

Maria Eliza Turek, Volker Prasuhn, and Annelie Holzkämper

An increase in the occurrence of drought events potentially aggravate conflicts between agricultural water use and other human and ecological demands for water resources. Increasing the natural soil water retention capacity can help to defuse these conflicts and at the same time strengthen climate mitigation, biodiversity, and food security. Although a variety of measures may be taken to increase soil water retention in agricultural systems, their effects in response to climate extremes are largely unknown. As part of the OPTAIN initiative (OPTimal strategies to retAIN and re-use water and nutrients in small agricultural catchments across different soil-climatic regions in Europe, www.optain.eu), this project aims to evaluate the soil water dynamics affected by these measures and their extent of influence on the cropping system, looking for possibilities to increase the resilience to drought stress under current and future climatic conditions. The steps include (1)  utilizing information from a long-term lysimeter experiment to setup, calibrate and validate a detailed model of soil water dynamics (SWAP) for a typical Swiss cropping system, (2) specifying soil water retention measures through modifications of input parameters based on a literature review (and additional field measurements), and (3) apply the model to conduct a series of simulation experiments with varying combinations of soil water retention measures and future climate scenarios. Study findings will identify soil water retention measures with the largest potential to mitigate drought stress limitations to agricultural productivity, helping to make future arable production systems in Switzerland less dependent on supplement irrigation.

How to cite: Turek, M. E., Prasuhn, V., and Holzkämper, A.: Agro-hydrological modeling of soil water retention measures to increase crop system resilience to extreme events, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2919, https://doi.org/10.5194/egusphere-egu22-2919, 2022.

EGU22-4712 | Presentations | SSS2.4

Trade-offs between soil carbon sequestration and greenhouse gas emissions, and nitrogen leaching losses: addressing knowledge gaps 

Peter Maenhout, Claudia Di Bene, Maria Luz Cayuela, Anton Govednik, Frida Keuper, Sara Mavsar, Rok Mihelic, Adam O'Toole, Ana Schwarzmann, Marjetka Suhadolc, Alina Syp, and Elena Valkama

Carbon sequestration in agricultural soils is an important strategy to mitigate climate change which gained renewed attention in the EU soil strategy for 2030. Stimulation of soil organic carbon (SOC) sequestration can be achieved via soil management strategies. However, these strategies may stimulate greenhouse gas (GHG) emissions such as nitrous oxide (N2O) and methane (CH4) and cause nitrogen (N) losses via leaching. While these trade-offs can offset the intended climate change mitigation via SOC sequestration, synergistic (positive) effects of certain soil management strategies may positively affect the mitigation potential as well. Despite the major importance of these trade-offs and synergies for the selection of sustainable and climate-proof soil management strategies, knowledge on the understanding of these effects remains limited.

In the Framework of Horizon 2020 – European Joint Programme SOIL, the ∑OMMIT-project aims to investigate the trade-offs and synergies for the most relevant soil management strategies applied in European agricultural systems. A dedicated literature study was made by eight agricultural research institutes across Europe, summarizing the results of reviews, meta-analyses, reports and original articles. The most important soil management strategies were identified and grouped into four categories: tillage management, cropping systems, water management, and fertilization and organic matter (OM) inputs (crop residues, cover crop, livestock manure, slurry, compost, biochar, liming). Search criteria including literature and land use type, time-period, and geographic origin resulted in a unique selection of 110 references (31 reviews, 46 meta-analyses, and 33 original papers). Meta-data, extracted knowledge gaps, research recommendations and main conclusions were compiled in a knowledge gap review which allows for better insight in existing trade-offs and synergies and provides guidance to future research.

This review highlights that the increase of both SOC stock change and the microbial biomass C and N, as well as the reduction in N leaching are positively affected by conservation tillage, crop rotation, permanent cropping, more efficient water management as well as using fertilization and OM inputs (e.g., cover crops, organic amendments, biochar, and liming). The effects on the N2O and CH4 emission mitigation are dependent on the specific soil management strategy (e.g., water management, fertilization and OM inputs) and require more research to allow to define (uniform) conclusions.

In conclusion, more dedicated research is needed for the soil management strategies that simultaneously examines SOC stocks, GHG emissions, and N leaching losses. Furthermore, we identified a lack of information on the impact of pedoclimatic conditions, specifically on the longer-term, on trade-offs and synergies. A more concerted use and installation of new long-term field experiments in different pedo-climatic European regions, seems essential for a comprehensive understanding of the impact of soil management strategies at the European level. Further, since soil management strategies are often combined and their interaction may affect the trade-offs and synergies, the impact of different soil management practices should be assessed simultaneously. Overall, the review provides a unique framework to aid the (re)design of dedicated field experiments and targeted measurements as well as simulations to improve our understanding of the identified knowledge gaps.

How to cite: Maenhout, P., Di Bene, C., Cayuela, M. L., Govednik, A., Keuper, F., Mavsar, S., Mihelic, R., O'Toole, A., Schwarzmann, A., Suhadolc, M., Syp, A., and Valkama, E.: Trade-offs between soil carbon sequestration and greenhouse gas emissions, and nitrogen leaching losses: addressing knowledge gaps, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4712, https://doi.org/10.5194/egusphere-egu22-4712, 2022.

EGU22-4808 | Presentations | SSS2.4

Post-land abandonment management through shrub clearing practices as a tool for enhancing soil quality and carbon storage. 

Melani Cortijos-López, Pedro Sánchez-Navarrete, Paz Errea, Teodoro Lasanta, and Estela Nadal-Romero

Land abandonment is outstanding as one of the main causes of soil degradation in Mediterranean mid-mountains. This process is closely linked to the rural exodus that took place in the middle of the last century, that led to the activation of natural revegetation mechanisms and massive shrub encroachment. Consequently, several ecosystem disservices have been identified, such as homogenization of landscape, loss of biological and cultural diversity, decrease in water-human-consume resources, reduction of agropastoral resources and higher wildfire risk. However, the effects on soil environment are multiple and controversial. Thus, a case study in the Leza Valley (La Rioja, Spain) has been selected to analyse the effects of post-land abandonment management through shrub clearing practices in soil quality, carbon dynamics and carbon sequestration, in order to give a second chance to these marginalised areas while fighting against Global Change.

For the soil sampling, 5 land uses have been selected: control pasture, 3 shrub clearing sites of different ages; and shrubland after cropland abandonment (6 replicates at different depths, 0-40 cm, have been collected at each study site). Physico-chemical and biological properties of the soil have been analysed in the laboratory, distinguishing between basic and acid soils. Furthermore, a theoretical map of hypothetical future shrub-cleared areas and its potential to sequester carbon has been created.

Preliminary results showed  significant differences between post-land abandonment practices. Time since intervention has resulted a key factor in carbon dynamic evolution, and an increase in carbon storage and concentration with management has been recorded.

To sum up, management through shrub clearing has demonstrated to be an adequate strategy to offset carbon emissions to the atmosphere in soils of abandoned areas in the Mediterranean mid-mountains, offering socio-economic and ecological benefices while becoming an important tool against Global Change.

This research is part of the MANMOUNT project (PID2019-105983RB-100/AEI/ 10.13039/501100011033) funded by the MICINN. Melani Cortijos-López is working with an FPI contract (PRE2020-094509) from the Spanish Ministry of Economy and Competitiveness associated to the ESPAS project.

How to cite: Cortijos-López, M., Sánchez-Navarrete, P., Errea, P., Lasanta, T., and Nadal-Romero, E.: Post-land abandonment management through shrub clearing practices as a tool for enhancing soil quality and carbon storage., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4808, https://doi.org/10.5194/egusphere-egu22-4808, 2022.

EGU22-7762 | Presentations | SSS2.4

A large-scale study of the carbon stock of Hungarian forest soils 

András Bidló, Péter Végh, and Adrienn Horváth

Temperate forest ecosystems store significant amounts of organic carbon. Site conditions, species composition, and age of stands largely influenced the amount of stored carbon. International and Hungarian studies have shown that nearly half of the carbon stored in the soil in organic matter forms in forest ecosystems. The main goal was to determine the amount of carbon stored in loess soil. Our preliminary studies have shown that climatic conditions (and the forest composition determined) have a huge effect on the carbon stock of soils. To demonstrate this effect, forest stands on loess bedrock under different climatic conditions were selected for the study. Soil drilling was performed in 40 stands and soil samples were taken by 10 cm layers from 0-110 cm depth. In addition to the soil samples, we also determined the litter mass and composition of the forest stand.
Results showed that the loess soil was leached under the forest stands, so its pH was 5.8 on average (min: 3.9; max.: 8.5). Only deeper levels contained 13% CaCO3 (min: 1.1%; max.: 37%) in the profiles. The texture of the soils was loam or clayey loam with good water holding capacity; therefore, the soil types were Luvisol and Cambisol soils. The average amount of carbon stored in the soils was 1.04 % (min.: 0.02%; max.: 7.3%)  In the future, we will try to clarify the relationship between soil organic carbon stocks and weather conditions.

Project no. 141603 has been implemented with the support provided by the Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund, financed under the MEC_R_21 funding scheme.

How to cite: Bidló, A., Végh, P., and Horváth, A.: A large-scale study of the carbon stock of Hungarian forest soils, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7762, https://doi.org/10.5194/egusphere-egu22-7762, 2022.

EGU22-8643 | Presentations | SSS2.4

The potential of adaptive drainage to control salinization in Polder context 

Ali Mehmandoost Kotlar, Bert Everaer, Guillaume Blanchy, Dominique Huits, and Sarah Garré

The past dry summers of 2018, 2019 and 2020 have indicated the sensitivity of Flemish agriculture to drought. In the Flemish polders, this resulted not only in crop water stress, but also in increasing soil and water salinity levels due to the high evaporative demand and the occurrence of salt water lenses in the subsurface. Due to the increasing occurrence of weather extremes as a consequence of climate change, farmers will need to deal with both too little and too much freshwater in the future. Compared to conventional drainage systems, adaptive drainage can secure food production and lower the irrigation need by only draining water when it is strictly necessary and thereby leaving more opportunities for water retention and groundwater recharge.  

In the project OP-PEIL, we will investigate the impact of adaptive drainage on water fluxes and availability, water quality as well as on the cropping system itself (crop growth, disease pressure, yield and quality) during 3 years. We will use geophysical techniques to monitor the impact of adaptive drainage on the fresh/salt water interface in the drained field, as well as in the nearby landscape. Finally, we will set up numerical experiments using water balance models (e.g. SWAP- WOFOST and DRAINMOD) and the available historical climate, field management, and soil hydraulic properties data will be performed to evaluate more extensive climatological scenarios. By the end, this four-year project will raise awareness of farmers and stakeholders about the impact of adaptive drainage on agricultural practices in the Flemish Polders in Belgium.  

 

How to cite: Mehmandoost Kotlar, A., Everaer, B., Blanchy, G., Huits, D., and Garré, S.: The potential of adaptive drainage to control salinization in Polder context, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8643, https://doi.org/10.5194/egusphere-egu22-8643, 2022.

EGU22-8874 | Presentations | SSS2.4

Agricultural Management and Soil Carbon Sequestration: the potential of APSIM model to support climate change mitigation 

Carla S.S. Ferreira, Zahra Kalantari, Nicolas Martin, Guillermo Marcillo, Pan Zhao, Jing Wu, and Naira Hovakimyan

Leveraging soil carbon sequestration in croplands can support climate change mitigation; however, it is challenging to develop optimal management practices to maximize both sequestered carbon and crop yield. In intelligent agricultural management systems, large-scale crop models can provide an understanding of the complex soil-water-plant-atmosphere interactions and allow the evaluation of the effects of various management practices on carbon sequestration. This study aims to investigate soil carbon dynamics in maize cropland under different management practices, and discuss their potential to leverage the carbon sink capacity of agricultural soils. The Agricultural Production Systems sIMulator (APSIM) is used to investigate soil carbon dynamics in maize cropland of Baixo Mondego, an agricultural region in central mainland Portugal, under Mediterranean climate. The model was set up using soil properties retrieved from the INFOSOIL national database and run with daily climate data from 2001 to 2020 provided by local weather stations (i.e., solar radiation, maximum and minimum temperature, and rainfall). The maize yields’ records from an agricultural farm were used for model calibration (2017 - 2019) and validation (2020 - 2021). The model was then used to investigate the impact of different scenarios focusing on distinct fertilization management practices (i.e. fertilization rates, timing, and type of fertilizer) on soil carbon and crop yields. This study is part of a larger research project funded by C3.AI Digital Transformation Institute to develop an intelligent agricultural management system using deep reinforcement learning (RL) for agriculture sustainability and climate change mitigation. This project has great potential for impact on climate change and food security, two of the most significant challenges currently facing humanity.

How to cite: S.S. Ferreira, C., Kalantari, Z., Martin, N., Marcillo, G., Zhao, P., Wu, J., and Hovakimyan, N.: Agricultural Management and Soil Carbon Sequestration: the potential of APSIM model to support climate change mitigation, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8874, https://doi.org/10.5194/egusphere-egu22-8874, 2022.

Over‑reliance and indiscriminate use of mineral fertilisers have contributed towards declining soil health. Further, mineral fertiliser production contributes close to 1% of UK’s greenhouse gas emissions. Organo-mineral fertilisers (OMFs) are currently being investigated as a more environmentally sustainable alternative to conventional mineral fertilisers as they reduce the amount of mineral fertilisers needed by combining them with organic materials that would otherwise be destined for landfill or incineration, promoting a circular economy by returning recycled nutrients to the soil. Here, we evaluated the efficacy of a novel OMF that incorporates carbon captured from gaseous point sources into their production. This product demonstrates a potential tool for combating both climate change and soil fertility by promoting soil carbon sequestration. To assess the efficacy of these new fertilisers we conducted a field experiment consisting of three batches of OMF (5, 10 and 15%N) and compared them to a conventional mineral fertiliser and an unfertilised control in two soil types with two crops (winter barley and winter wheat).

We found that all fertilisers produced significantly more yield than the control (p < 0.05) but that there was no significant or consistent difference between the fertilisers. There was no significant or consistent differences between the stimulated root growth for any treatments (p = 0.60) and the same for organic matter, microbial biomass, pH, available nutrients (N, P, K), total nutrients (N, C, P), and metals. This leads to the conclusion that organo-mineral fertilisers can perform at least as well as conventional fertiliser. Though more seasons are needed to evaluate the benefits to the soil.

How to cite: Burak, E. and Sakrabani, R.: Evaluating the efficacy of novel green fertilisers derived from combining carbon capture technology and organic waste materials , EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9258, https://doi.org/10.5194/egusphere-egu22-9258, 2022.

EGU22-9822 | Presentations | SSS2.4

The technogenic factor of PAH accumulation in floodplain soils of the Don River Delta 

Tamara Dudnikova, Andrey Barbashev, Svetlana Sushkova, Elena Antonenko, Irina Deryabkina, Evgenyi Shuvaev, Gulnora Bakoeva, Hadeer Elgendy, Jawaria Johar, Dmitryi Bren, Alexandr Yakovlenko, and Tatiana Maltseva

The Don River Delta is a unique natural structure that performs an important ecological function as a spawning ground for endangered fish species. Shipping is a source of carcinogens of the group of polycyclic aromatic hydrocarbons (PAHs), including benzo(a)pyrene (BaP) - substances of the 1st hazard class. The maximum permissible concentration (MPC) of BaP in the soil is 20 μg / kg. The accumulation of PAHs in the floodplain soils of the delta is especially dangerous since the active washout of pollutants with the soil mass during the flood period (spring) coincides with fish spawning.

The object of the study was saturated alluvial meadow soils. Soil properties vary within the following ranges: pH - 7.3-7.5, organic carbon content - 1.2-2.0%, physical clay - 14.9-19.4%, silt - 4.9-8.9 %. Sampling was carried out to a depth of 0-20 cm. PAHs were extracted from the soil with hexane. Quantitative analysis of PAHs in the extract was carried out using an Agilent 1260 chromatograph. In this work, the content of 16 PAHs included in the list of priority pollutants of the US EPA was determined: naphthalene, anthracene, acenaphthene, acenaphthylene, phenanthrene, fluorene, fluoranthene, pyrene, chrysene, benzo(a)anthracene, BaP, benzo(b)- and benzo(k)fluoranthene, dibenzo(ah)anthracene, benzo(g,h,i)perylene, indeno(1,2,3-cd)pyrene.

This study presents the main patterns of PAHs accumulation in the floodplain soils of the Don River delta used by the shipping channel. The purpose of the study was to establish the influence of the technogenic factor on the accumulation of PAHs in the floodplain soils of the Don River delta. As a result of the study, it was found that, according to the content of PAHs, the soils form the following row: No. 1 - 400 μg / kg> No. 2 - 1729 μg / kg> No. 3 - 9376 μg / kg. A similar series is observed for the amount of BaP in the soil: No. 1 - 22 μg / kg> No. 2 - 201 μg / kg> No. 3 - 2013 μg / kg, which corresponds to an excess of MPC by 1.1, 18 and 100 times.

Thus, the PAHs content in soils increases downstream of the shipping channel. The maximum technogenic load falls on the soil of the monitoring site No. 3, located in the mixing zone of the waters of the Taganrog Bay and the delta of the Don.

The research was financially supported by the Ministry of Science and Higher Education of the Russian Federation project on the development of the Young Scientist Laboratory (no. LabNOTs-21-01AB).

How to cite: Dudnikova, T., Barbashev, A., Sushkova, S., Antonenko, E., Deryabkina, I., Shuvaev, E., Bakoeva, G., Elgendy, H., Johar, J., Bren, D., Yakovlenko, A., and Maltseva, T.: The technogenic factor of PAH accumulation in floodplain soils of the Don River Delta, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9822, https://doi.org/10.5194/egusphere-egu22-9822, 2022.

EGU22-9850 | Presentations | SSS2.4

Seed Biopriming with Trichoderma sp. as an Effective Strategy for the Mitigation of Thermal Stress Effects in Food Crops 

Hadeer Elgendy, Maria Krepakova, Chetan Keswani, Marina Voloshina, Anna Nefedova, Tatiana Minkina, Saglara Mandzhieva, and Svetlana Sushkova

According to the projections of the Intergovernmental Panel on Climate Change (IPCC) the impact of global warming would be detrimental for ensuring food security in the 21st century. High temperature stress in different agro-climatic zones uniformly decreases crop yield, primarily due to shortened life cycle and hastened senescence leading to considerable pre- and post-harvest losses. The only available solution for tacking this challenge includes breeding thermal stress tolerant cultivars with equivalent crop yield potential. Though this strategy has many handicaps, the foremost being huge time investments for generating stable cultivars. Hence, exploring all the possible alternatives is a high priority to ensure sustainable crop production. These results demonstrate the role of seed biopriming with a thermotolerant strain of Trichoderma sp. capable of surviving at 470C for the mitigation of thermal stress effects in tomato. Based on these results it was concluded that Trichoderma mediated reprogramming of oxidative stress markers and defense network to enhance thermal tolerance in tomato. The results of the aforementioned biochemical analysis were cross validated through histochemical and HPLC analysis. In addition, the complex route of plant-microbe interaction under both ambient and stressed conditions were also mapped using 2D gel electrophoresis and hydroponics approach. During this presentation, the fascinating journey beginning from the isolation, characterization, and identification of this thermotolerant strain of Trichoderma sp. to its formulation development will be discussed in detail.  

Acknowledgements: The research was financially supported by the Ministry of Science and Higher Education of the Russian Federation project on the development of the Young Scientist Laboratory (no. LabNOTs-21-01AB).

How to cite: Elgendy, H., Krepakova, M., Keswani, C., Voloshina, M., Nefedova, A., Minkina, T., Mandzhieva, S., and Sushkova, S.: Seed Biopriming with Trichoderma sp. as an Effective Strategy for the Mitigation of Thermal Stress Effects in Food Crops, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9850, https://doi.org/10.5194/egusphere-egu22-9850, 2022.

EGU22-9941 | Presentations | SSS2.4

Biogeosystem Technique transcendental intra-soil pulse continuous-discrete watering paradigm for soil organic matter sustainable regime and heavy metal passivation 

Gulnora Bakoeva, Valery Kalinitchenko, Alexey Glinushkin, Anatoly Kislov, Tatiana Minkina, Svetlana Sushkova, Saglara Mandzhieva, Nikolai Budynkov, Peter Mukovoz, Geogiy Larin, Artem Rykhlik, Elena Fedorenko, and Elena Grishina

Water regime determines the soil organic matter (SOM) content and dynamics and heavy metals (HM) availability for plants. Uncertainty natural hydrological regime is a consequence of combination of a phase of water supplying to the soil and a phase of water spreading into the soil, which causes biosphere diversity. Current gravitational frontal continually-isotropic irrigation paradigm stipulates huge consumption of the world freshwater reserves. Around 95% of this water uncontrollably spreads in landscape in result of natural hydrological regime simulation. This paradigm causes unsustainable soil organic matter regime and heavy metals uncontrolled penetration of HM into plant roots and then into trophic chains.

Improved biogeochemical cycle, including SOM and HM regime, is possible in the framework of Biogeosystem Technique (BGT*) transcendental methodology. An origin of the developed BGT* soil watering paradigm is an intra-soil pulse continuous-discrete water supply into the soil continuum, fulfilled sequentially. Discrete volume of water is supplied via syringe to the vertical cylinder of soil preliminary watering at a depth of 10 to 30 cm, diameter is of 1–2 cm. Within 5–10 min after injection, the water spreads from this cylinder of preliminary watering into surrounding soil via capillary, film and vapor transfer. Some amount of water is partially transferred gravitationally to a depth of 35–40 cm. The resulting soil watering cylinder is at a depth of 5–50 cm, its diameter is of 3–4 cm. Lateral distance between next injections along the plant raw is about 10–15 cm. The non-watered soil carcass surrounding the wetted cylinder remains relatively dry and mechanically stable. After injection, the structure of soil in the wetted cylinder restores quickly without compression from the stable adjoining volume of soil, and the soil structure memory remain functional. The mean matric potential of the soil solution is 0.2 MPa. At this potential, a leaf stomatal apparatus operates in regulation mode. Relatively high concentration of soil solution provides an increased rate of plant supply with nutrients. Transpiration rate reduced compared to the natural water regime or standard irrigation. Evaporation from soil surface is small as well. Soil solution seepage to vadose zone is excluded. Fresh water saving is up to 20 times.

BGT* soil watering paradigm reduces rate of intra-soil mass transfer, and uncontrolled lateral water redistribution to landscape. In its turn, this reduces SOM leaching from soil and improves conditions for the SOM priority synthesis, providing humic substances function, soil structuring, intra-soil reversible C sequestration, improved plant supply with fresh nutrients, better plant organogenesis, and soil biological productivity. Intra-soil application of plant protection preparation is possible.

Rather low matric potential insures higher ionic strength of soil solution. Corresponding manifestations of ion association and carbonate calcium equilibrium in soil solution provide association of HM with macro-ions PbCO30, (PbCO3)20, PbHCO3+, PbSO40 PbCl+, PbOH+, Pb(OH)20, CdCO30, CdHCO3, CdSO4 CdSO40, CdCl+, CdOH+ and other, and consequent irreversible passivation of HM via complexation in soil mineral-organic system.

The research was supported by the Strategic Academic Leadership Program of the Southern Federal University ("Priority 2030").

How to cite: Bakoeva, G., Kalinitchenko, V., Glinushkin, A., Kislov, A., Minkina, T., Sushkova, S., Mandzhieva, S., Budynkov, N., Mukovoz, P., Larin, G., Rykhlik, A., Fedorenko, E., and Grishina, E.: Biogeosystem Technique transcendental intra-soil pulse continuous-discrete watering paradigm for soil organic matter sustainable regime and heavy metal passivation, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9941, https://doi.org/10.5194/egusphere-egu22-9941, 2022.

EGU22-9961 | Presentations | SSS2.4

New approach to soil health management and air quality: One Earth One Life 

Elena Fedorenko, Alexey Glinushkin, Valery Kalinitchenko, Alexander Swidsinski, Valery Meshalkin, Sergey Gudkov, Tatiana Minkina, Vladimir Chernenko, Vishnu Rajput, Saglara Mandzhieva, Svetlana Sushkova, Alexander Kashcheev, and Tamara P. Aysuvakova

The air pollution with fine particulate matter (PM) of dimension 2.5 µm or less (PM2.5) causes lung and other diseases. The problem of prevention of water and terrestrial systems pollution with PM dry deposits is multifaceted. The ionized O2 is capable to intensify the atmosphere turbulence, PM2.5 сoalescence, and increasing the PM dry deposition velocity. Unfortunately, outdated environmental technologies are incapable to secure this. The quality of air is linked to the pedosphere and plant kingdom. Addressing the problem of environmental quality, including the PM2.5 content reduction in the atmosphere, the Biogeosystem Technique (BGT*) transcendental (nonstandard and not a direct imitation of Nature) methodology has been developed. The BGT* focus is an enrichment of the Earth's biogeochemical cycle. The heuristic approach to land use and air cleaning is a new niche for development to improve the soil system and ensure a high rate of air cleaning. BGT* ingredients are the intra-soil processing, which provides the soil multilevel architecture; intra-soil pulse continuously discrete watering for optimal soil water regime and freshwater saving up to 10-20 times; intra-soil dispersed environmentally safe recycling of the PM sediments and other pollutants; controlled microbial community and biofilm-mediated interactions in the soil. BGT* enriches the biogeochemical cycle, provides a better function of the humic substances, biological preparation and microbial biofilms as a soil-biological starter, priority plant and trees nutrition. BGT* methodology is capable to increase plant resistance to phytopathogens. BGT* provides the formation of higher underground and aboveground biological products, thus increasing reversible C biological sequestration from the atmosphere in the form of additional aboveground biomass and soil organic matter. BGT* provides a higher rate photosynthetic production of light O2 ions, a coalescence of PM2.5, PM0.1 to the PM10 and larger particles, sedimentation of the PM, and a soil transformation of PM sediments into the nutrients. BGT* allows sustainability of the biosphere, enables a high quality of the atmosphere, stabilizes the climate system of the Earth, and is capable to promote a green circular economy.

The research was supported by the Strategic Academic Leadership Program of the Southern Federal University ("Priority 2030").

How to cite: Fedorenko, E., Glinushkin, A., Kalinitchenko, V., Swidsinski, A., Meshalkin, V., Gudkov, S., Minkina, T., Chernenko, V., Rajput, V., Mandzhieva, S., Sushkova, S., Kashcheev, A., and Aysuvakova, T. P.: New approach to soil health management and air quality: One Earth One Life, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9961, https://doi.org/10.5194/egusphere-egu22-9961, 2022.

As previously foreseen, it seems like climate change effects have begun to take their toll on the environment globally, but especially in the Eastern Mediterranean-Middle East (EMME) region where a hot climate already prevails. Some of these effects include higher temperatures during summer season, greater heat stress, longer summers, lower soil moisture, greater water scarcity, more intense rainstorms, longer duration between rainstorms, reduced air quality due to greater pollution and more. Rainfall temperature is also a variable that potentially will be affected by changes in climate regime.

These alterations in climate regime might play an even greater role in soil erosion which has already become a concern on a global scale due to its impairing effects on human activity. Although, soil erosion variables have been studied extensively on various levels, very little has been researched on the effects of rainfall temperature on the soil. A few years ago, comparative research with a laboratory rainfall simulator was conducted on two soils, a clayey soil and loamy soil from Israel, in dry and wet conditions, under different rainfall temperature regimes. The researchers concluded that rainfall temperature has an impressionable effect on runoff and soil erosion that must not be ignored, and which is more pronounced in the clayey soil. Recently, and in accordance with these findings, follow-up research was conducted on two pre-wetted clayey soils, 43% and 64% clay content, respectively. The Terra Rosa soils were chosen from different locations in Israel and are similar to each other in salt concentration, organic matter content and land use (plots between olive trees in an olive grove), yet are different from one another in clay content, and possibly in clay-mineral type as well. The soils were pre-wetted and allowed to drain to field capacity state, and then were exposed to 21 mm/hr rainfall events at 3 different temperatures: 2, 20 and 35 degrees Celsius, respectively. Runoff and soil samples were collected throughout the experiments. Temperature was monitored at water tank, nozzle, soil surface and soil subsurface with thermocouples and a thermal camera. Each experiment was repeated 4 times on 2 different soils with 3 different temperatures, rendering a total of 24 experiments.

In this presentation, I will demonstrate our theory for the potential of rainfall temperature as an important variable on soil erosion and will present our initial findings based on our recent experiments.

How to cite: Shkedi, D., Sachs, E., and Pariente, S.: Effect of rainfall temperature on the erosion of clayey soils different in clay amount: experiments with a laboratory rainfall simulator, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10427, https://doi.org/10.5194/egusphere-egu22-10427, 2022.

EGU22-11432 | Presentations | SSS2.4 | Highlight

Healthy soils, a fresh start. 

Diana Vieira, Anna Muntwyler, Anne Marechal, Alberto Orgiazzi, Arwyn Jones, Calogero Schillaci, Constantin Ciupagea, Daniele Belitrandi, Daniela de Medici, Daniele de Rosa, Francis Matthews, Juan Martin Jimenez, Julia Koeninger, Leonidas Liakos, Luca Montanarella, Maeva Labouyrie, Marc Van Liedekerke, Panos Panagos, Piotr Wojda, and Simone Scarpa

Lately, there has been a lot of discussion on soil terminology, perhaps because policymakers have recognized the need to use soil as an ally tackling future climate demands, but mostly because this recognition will likely be translated from the EU Soil Strategy into a new soil health law for the EU. Such an initiative for soil is tightly connected to the EU Biodiversity Strategy for 2030, the Climate Adaptation Strategy, the UN 15.3 Goal for Land Degradation Neutrality, and other environmentally-related policy initiatives (Figure 1) stemming from the European Green Deal and from the UN Sustainable Development Goals.

 

Figure 1. Links between EU Soil Strategy and other EU initiatives. Source: European Commission, 2021.

 

At the end of 2021 the European Commission launched the EU soil strategy for 2030, giving the first step towards a consolidated understanding of what a healthy soil means, “(…) when they are in good chemical, biological and physical condition, and thus able to continuously provide as many of the following ecosystem services as possible (…)”. This definition is therefore expected to be translated into a collection and combination of various soil parameters and associated dynamic thresholds (in time and space). Allowing thus the determination of the spatial extent of healthy - and unhealthy - soils, being likely used to assess the EU progress towards the objectives set.

On top of the importance of such initiatives for our future, this is also a great opportunity for researchers and policymakers to understand i) where we stand in terms of major soil threats, ii) what the major current knowledge gaps for EU soils are, iii) and which are the areas at higher risk for land degradation that then require further restoration actions. The problem seems complex from a diversified European perspective, due to the policy landscape, [the lack of] harmonized data availability, as well as local and regional differences. Nevertheless, the EU needs to start building on the current environmental acquis.

The aim of this work is to present the current status of the EU soils making extensive use of the latest LUCAS soil monitoring campaigns and to identify and discuss with the scientific community the identification of key-thresholds for identified parameters, which will likely determine future land and soil management actions towards a healthy soil.

How to cite: Vieira, D., Muntwyler, A., Marechal, A., Orgiazzi, A., Jones, A., Schillaci, C., Ciupagea, C., Belitrandi, D., de Medici, D., de Rosa, D., Matthews, F., Martin Jimenez, J., Koeninger, J., Liakos, L., Montanarella, L., Labouyrie, M., Van Liedekerke, M., Panagos, P., Wojda, P., and Scarpa, S.: Healthy soils, a fresh start., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11432, https://doi.org/10.5194/egusphere-egu22-11432, 2022.

Soils are by definition important carbon sinks, in particular for non-tropical types of climates, an important part of carbon in ecosystems are located on them. Under climate change, those carbon sinks are placed under stress due to often-subtle changes that modify the conditions for their function and rend them particularly vulnerable to dereliction, reducing the capacity to act as carbon sinks at the long term.

In agricultural soils, the intensification of cropping systems and the reduced addition of organic matter results in a sharp reduction of soils’ organic content, with important impacts on soil functioning, namely in what concerns water and nutrient cycles, which will reduce soil fertility and carbon content on the long run. This will transfer slowly but steadily soil’s organic carbon to the atmosphere, reinforcing climate change.

Forest soils suffer an even more catastrophic impact from climate change, since the regions more vulnerable have a higher frequency and intensity of the big eraser, when the forest systems fail to be in equilibrium with the climate: forest files. They are responsible altogether by the emissions of various compounds to the atmosphere, comparable to the anthropic emissions in a bad forest fire year. The soils derelict by fire lose an important part of environmental services they provide, namely suffer a significant reduction of their capacity to sink carbon. This adds to the instantaneous loss of carbon to the atmosphere during the fire and downstream to aquatic ecosystems thereafter.

We explore methodologies to reduce those losses in wet Mediterranean areas, aiming to increase the carbon sinks to reduce the atmospheric concentrations.

How to cite: Ferreira, A.: Soil and climate interactions in the Mediterranean. Are we heading for disaster?, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13285, https://doi.org/10.5194/egusphere-egu22-13285, 2022.

Soil carbon sequestration in croplands has tremendous potential to help mitigate climate change; however, it is challenging to develop the optimal management practices for maximization of the sequestered carbon as well as the crop yield. We aim to develop an intelligent agricultural management system using deep reinforcement learning (RL) and large-scale soil and crop simulations. To achieve this, we build a simulator to model and simulate the complex soil-water-plant-atmosphere interaction, which will run on high-performance computing platforms. Massive simulations using such platforms allow the evaluation of the effects of various management practices under different weather and soil conditions in a timely and cost effective manner. By formulating the management decision as an RL problem, we can leverage the state-of-the-art algorithms to train management policies through extensive interactions with the simulated environment. The trained policies are expected to maximize the stored organic carbon while maximizing the crop yield in the presence of uncertain weather conditions. The whole system is tested using data of soil and crops in both mid-west of the United States and the central region of Portugal. Our study has great potential for impact on climate change and food security, two of the most significant challenges currently facing humanity.

How to cite: Kalantari, Z.: Optimization of Agricultural Management for Soil Carbon Sequestration UsingDeep Reinforcement Learning and Large-Scale Simulations, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13307, https://doi.org/10.5194/egusphere-egu22-13307, 2022.

EGU22-13528 | Presentations | SSS2.4

Cover crops as a method of enhancing soil moisture and nutrient retention on arable farmland 

Robert Thomas, Joshua Ahmed, and Joshua Johnson

Flooding affects >300 million people each year and causes loss of life, damage to infrastructure, and long-term mental and physical health problems. Across many parts of the globe, climate change is projected to increase the magnitude, frequency, and intensity of rainfall events, thus exacerbating future flood risk and increasing the demand for flood alleviation schemes. Agricultural land covers 39% of Europe, and as such intercepts a significant fraction of precipitation. Agricultural intensification has increased soil compaction and decreased soil porosity and permeability, thus decreasing infiltration, storage and groundwater recharge. Here, we report on experiments that aim to constrain the effects of using cover crops to increase soil porosity and permeability and hence decrease runoff during rainfall events in three arable fields in East Yorkshire, UK.

Half of each field was treated with a cover crop between harvest and winter cultivation, and the organic matter of this crop was incorporated into the soil. The second half of each field was used as a control. A suite of methodologies is being used to assess the long-term influence of this extra organic matter content on soil structure, health and permeability:

  • An array of soil moisture loggers (Delta-T PR2/4, DalesLandNet MKII, GroPoint Profile 2625-N-T-4) was deployed in each field to provide long term soil moisture data at high temporal resolution;
  • Roaming soil moisture measurements (Campbell Scientific HydroSense II) were used to increase spatial coverage and resolution;
  • Laboratory measurements of soil density, ambient soil moisture content, porosity, permeability, and nutrient content (nitrogen, phosphorous and potassium); and
  • A 3D MODFLOW model parameterised with collected data was used to assess the long term impact of increased soil porosity and permeability on rainfall transmission in to surface water drainage systems.

Preliminary results suggest that enhanced organic matter – delivered through cover crops – increases soil nutrient and moisture retention and decreases the peak flow stage in adjacent drainage channels after intense rainfall events. These observations suggest soil restoration may provide an important mechanism for attenuating flood peaks under future climate scenarios.

How to cite: Thomas, R., Ahmed, J., and Johnson, J.: Cover crops as a method of enhancing soil moisture and nutrient retention on arable farmland, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13528, https://doi.org/10.5194/egusphere-egu22-13528, 2022.

EGU22-729 | Presentations | NH3.4

Study on Establishing the System of Enterprises’ Participation in Flood Disaster Prevention 

Yi-Ting Li, Guei-Lin Fu, and Cheng Hsiu Tsai

Taiwan has unique geographical characteristics. Located in a subtropical monsoon region, it is plagued annually by exceptional meiyu (East Asian rainy season) in May and June, and numerous typhoons from July to October. This unique climate often brings torrential rains and combined with Taiwan’s steep topography and short rivers, frequently triggers severe floods. Moreover, Taiwan lies at the intersection between the Eurasian Plate and the Philippine Sea Plate and is among the areas with the world’s most frequent felt earthquakes. Natural hazards here can roughly be categorized into four types: earthquake, typhoon, flood, and hillside disasters; manmade disasters include: industrial disasters, residential/commercial fire, road traffic accident, and shipwreck. When disasters strike, they often cause grave impacts and tolls in human lives and properties. In recent years, there has been a rising trend in both their frequency and scale due to rapid urbanization and growing environmental vulnerability.
According to World Bank’s 2005 publication, Natural Disaster Hotspots - A Global Risk Analysis, Taiwan tops the world in the land area simultaneously exposed to three or more natural hazards (73%) and in the population under disasters’ threat (73%). Additionally, there has been an increase in potential hazards such as disease outbreaks and severe public safety accidents. Therefore, when large-scale disasters strike and the impact is beyond what the affected municipalities can or have resources to handle, the key to minimizing death and injuries as well as financial losses becomes how nearby municipalities can offer support, participate rapidly in the emergency response, integrate resources effectively, enhance response effectiveness and prevent the disaster’s spread.
The “Operational Compact for Emergency Management Mutual Aid between Municipality and County Governments” passed in 2005 has now been in effect for four years. Yet, a comprehensive review of recent years’ severe disaster experiences indicates that the chief rescue and relief responsibilities still fall on the central government; the rare implementation of the above Compact by local authorities exposes the inadequacy of the actual system. Thus, this paper examines the literature on relevant ordinances, operating models, and case studies in the American and Japanese regional mutual aid systems to emergency management, in order to offer suggestions for improvement towards a more complete regional mutual aid system, a significant upgrade on municipalities’ disaster response capabilities and effective functional integration and collaboration.

How to cite: Li, Y.-T., Fu, G.-L., and Tsai, C. H.: Study on Establishing the System of Enterprises’ Participation in Flood Disaster Prevention, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-729, https://doi.org/10.5194/egusphere-egu22-729, 2022.

In this study, zone of Gundogdu (Rize) located in the Eastern Black Sea Region were examined in terms of landslide susceptibility and its stability analyzes were conducted. The study area is the region with the highest rainfall in Turkey. Heavy rainfall plays a major role in triggering landslides in this region. In this study, the relationship between precipitation and landslide was investigated. In addition, the effect of precipitation on weathering also determined the geological characteristics of the area. First of all, 1/25.000 scale geological map of Gundogdu and its surrounding was provided, the units are listed as Melyat Formation (Middle Eocene) and alluvium (Quaternary) from older to younger. 1/500 scale cross sections were generated for nineteen different landslides happened at Gundogdu in 2010, 2015, 2018, and 2021 years. Then stability analyzes were done with these data. Angle of internal friction (φ), cohesion (c), saturated unit weight, natural unit weight, dry unit weight and submerged unit weight (ϒd, ϒn, ϒk, ϒ'), specific gravity (Gs), porosity (n), saturation degree (SR), void ratio (e) and grain size distribution were determined with laboratory tests of soil samples which were taken to determine the engineering properties of soils located in places which stability calculations would be held. Following the results of these experiments, stability analyzes were done with 4 different methods (The Zero angle of Shearing Resistance Method, Ordinary Method of Slice, Bishop Method of Slices, and Janbu Method) according to the possible sliding surfaces that were plotted from geological section of landslide. As a result of these data, this region poses a great danger specially after rainfall with the effect of weathering. For this purpose, needs to be done for the prevention of landslides have been introduced.

How to cite: Yalcin, A.: Gundogdu (Ri̇ze) landslides and its surrounding slope susceptibility, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-938, https://doi.org/10.5194/egusphere-egu22-938, 2022.

EGU22-1241 | Presentations | NH3.4

Study on the Occurrence and Development of Gullies under extreme Rainstorm Conditions 

Lijuan Yang, Chunmei Wang, Chunmei Zhang, Guowei Pang, Yongqing Long, Lei Wang, Baoyuan Liu, and Qinke Yang

 Soil erosion seriously damages land resources, which is a global environmental problem. Gully erosion is an important manifestation of soil erosion, in recent years, frequent extreme rainstorms have aggravated the occurrence and development of gully erosion. In order to study the formation and development patterns of newly formed gullies under the condition of climate change, this paper takes the Wangwugou Small Watershed of the Chabagou Watershed on the Loess Plateau in Northern Shaanxi as the research area, and takes the “7·26” extreme rainstorm in Northern Shaanxi Province in 2017 as the main research object based on UAV images, to analyze the occurrence regularity of newly formed gullies, and discuss its development characteristics, its difference with the development of existing gullies before 2017, and its relationship with topographic parameters in the following three years. The results showed that: (1) during the “7·26” extreme rainstorm in Northern Shaanxi, there were 45 newly formed gullies in the Wangwugou Small Watershed, which are about 101 gully/km2, and they could be divided into four categories: slope surface gullies, terraced field gullies, unpaved roadway gullies and bottom gullies. The slope surface gullies were the largest, and the bottom gullies and terraced field gullies were wider and larger in area. Production roads, check dam farmland and sloping farmland are most prone to the occurring of gullies under rainstorm conditions. (2) In the three years after the formation of the new gullies, the development of the new gully heads was faster than that of the original existing gullies, and 34.48% of the heads of newly formed gully was further advanced, which was 1.32 times of the original existing gullies. The average gully head retreat distance of newly formed gullies is 3 times that of the original existing gullies, which is up to 0.58 m/a, and the maximum speed could reach 2.12 m/a. (3) The increase of the drainage area could significantly promote the development of gully heads, which is an important topographic index to simulate the retreat rate of gully heads. Under extreme rainfall conditions, the soil erosion situation is highly serious in the study area, and the source of newly formed gullies could be traced more rapidly within three years after their occurrence. Therefore, special attention and enhanced management should be attached to the prevention and control of such gullies.

How to cite: Yang, L., Wang, C., Zhang, C., Pang, G., Long, Y., Wang, L., Liu, B., and Yang, Q.: Study on the Occurrence and Development of Gullies under extreme Rainstorm Conditions, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1241, https://doi.org/10.5194/egusphere-egu22-1241, 2022.

Multivariate logistic regression models are the most popular in estimating landslide susceptibility by assessing various landslide causes—covariates—in mapped landslides or hindcasting landslides by including landslide triggering information such as rainfall. Although the sensitivity of these models to the variety of input data is frequently tested, the influence of data quality on the model accuracy is rarely discussed. For example, accurately representing spatial rainfall variability that triggered landslides may be essential in hindcasting models. Additionally, the properties of the mapped landslides, such as sample size, location, or time, are crucial to set a robust susceptibility model. Using an inventory that predominantly covers larger landslides would hinder a model by broadly covering the diversity of the factors leading to slope instability. Whereas smaller landslides could fail to capture sufficiently the range of values in the covariate space, likely decreasing the model performance. Another aspect is whether the number of mapped landslides is enough to estimate the susceptibility accurately or does more data means a better model. We developed several simple logistic regression models to answer all the above-listed questions relevant to assessing the model sensitivity. The model first demonstrated that global grid rainfall products could not accurately represent spatial rainfall distribution, which has a major influence on a landslide hindcast model. We have further found out that using only part of the individual landslides surprisingly may suffice to make accurate susceptibility estimates. Using smaller landslides in a susceptibility model outperforms a model that relies on larger landslides. Lastly, the model performance marginally varied after progressively adding more landslide data in a pilot study.

How to cite: Ozturk, U.: Role of baseline landslide inventory and grid rainfall precision on the sensitivity of susceptibility or hindcast models, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1284, https://doi.org/10.5194/egusphere-egu22-1284, 2022.

Due to the impact of climate change, the increasing frequency of extreme rainfall events, with concentrated rainfalls, commonly cause landslide hazard in the mountain areas of Taiwan. Although the extraordinary rainfall behavior is critical for the geohazard, it is significantly affected by the factors such as topography, the route of typhoon, etc. Therefore, there are uncertainties for the predicted rainfall as well as the landslide susceptibilities.

This study employs rainfall frequency analysis together with the atmospheric general circulation model (AGCM) downscaling estimation to understand the temporal rainfall trends, distributions, and intensities in the adopted study area in Central Taiwan. The uncertainties within the rainfall prediction was investigated before applied to the landslide susceptibility analysis. The catchments in Taiwan, including Tachia River, Wu River, and Chuoshui River, were adopted as the study area. To assess the hazard of the landslides, logistic regression methods and supporting vector machines method were applied, in which the control factors were analyzed and discussed. The results of predictive analysis with the consideration of uncertainties can be applied for risk prevention and management in the study area.

How to cite: Shou, K.-J.: Impact of Climate Change on Landslide Susceptibility – for the Case in Taiwan, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2299, https://doi.org/10.5194/egusphere-egu22-2299, 2022.

EGU22-2507 | Presentations | NH3.4

Impact of multi-temporal landslide inventories on landslide hazard assessment: a case study in the province of Belluno (Veneto Region, NE Italy) 

Silvia Puliero, Sansar Raj Meena, Filippo Catani, and Mario Floris

Frequent and extreme meteorological events can lead to an increase in landslide hazard. A multi-temporal inventory plays an essential role in monitoring slope processes over time and forecasting future evolution. In recent years, the province of Belluno (Veneto Region, NE Italy) was affected by two relevant and intense meteorological phenomena that occurred on October 27-30, 2018 (i.e. windstorm Vaia) and on December 4-6, 2020. Both events were characterized by heavy rainfall of up to 600 mm in 72 hours, triggering widespread landslides throughout the area. The analyses conducted on some local rain gauges in the sectors most affected by each storm show very high return periods (over 100 years) for both events, even though they occurred in a two-year time frame. This study aims to evaluate whether these strong meteorological phenomena are characterized by an increase in their frequency in the province of Belluno and to see what influence they have on slope instabilities, which are important for assessing landslide risk. The rainfall data available since 1950 have been investigated through statistical analysis to achieve these goals. The spatial and temporal evolution of slope instabilities has been examined through remote sensing techniques to compare landslides triggered in 2018 and 2020 with past instability phenomena in the same area. The results show the importance of multi-temporal databases for landslide hazard assessment after extreme meteorological events at the regional scale.

How to cite: Puliero, S., Meena, S. R., Catani, F., and Floris, M.: Impact of multi-temporal landslide inventories on landslide hazard assessment: a case study in the province of Belluno (Veneto Region, NE Italy), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2507, https://doi.org/10.5194/egusphere-egu22-2507, 2022.

EGU22-2681 | Presentations | NH3.4

A decrease in rockfall probability associated with changing meteorological conditions in Germany 

Katrin M. Nissen, Uwe Ulbrich, and Bodo Damm

In this study we assess the influence of changes in the relevant meteorological conditions on the probability for rockfall in German low mountain regions. The study is based on data from a rockfall data base for Germany (Rupp and Damm, 2020) and a data set supplied by the Deutsche Bahn (German railway company) covering the periods 1838-2018 and 2015-2020, respectively. 

In a first approach, a logistic regression model for the probability of rockfall at a given location developed by Nissen et al. 2021 was applied to gridded meteorological station observations (RADOLAN and EOBS) ranging from the year 1950 to 2019. The logistic regression model quantifies the influence of daily precipitation, a proxy for pore water and freeze-thaw cycles on rockfall probability. A probability forecast was made for each day and location. The day-to-day variability in rockfall probability at the individual sites is high. Thus, the sign of the trends is site specific, but the majority of sites is showing a negative trend over the 70-year period investigated. The significance of the trends at most sites is below the 95% level. Sites at which the trend is statistically significant almost all show a negative trend, down to -4% per decade in terms of the annual number of days with a higher than climatological hazard. The mean probability decreased by as much as -2.3% per decade. 

The second approach is based on large-scale weather patterns. An analysis identified 3 weather pattern that occur on average at 9% of all days but include  19% of the days on which a rockfall event occurred. The trend in the number of these patterns was determined for the last 40 years. It suggests a decrease by -2.2% per decade and is not statistically significant. 

How to cite: Nissen, K. M., Ulbrich, U., and Damm, B.: A decrease in rockfall probability associated with changing meteorological conditions in Germany, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2681, https://doi.org/10.5194/egusphere-egu22-2681, 2022.

EGU22-4314 | Presentations | NH3.4

Landslide events in Portugal under future climate change scenarios 

Joana Araújo, Alexandre M. Ramos, Pedro M.M. Soares, Raquel Melo, Sérgio C. Oliveira, and Ricardo M. Trigo

It is expected that landslide events will occur more frequently, throughout the century, as a direct consequence of climate change. The main triggering factor, over Portugal mainland, is extreme precipitation. Thus, the aim of this study relied on the assessment of the projected future changes in the extreme precipitation over Portugal mainland and quantifying the correlation between extreme rainfall events and landslide events through Rainfall Triggering Thresholds (RTT). This methodology was applied for two specific locations within two Portuguese areas of great geomorphological interest.

To evaluate the possible projected changes in the extreme precipitation, we used the Iberia02 dataset and the EURO-CORDEX models’ runs at a 0.11º spatial resolution. First, it was analyzed the models’ performance to simulate extreme values in the precipitation series. The simulated precipitation relied on RCM-GCM models’ runs, from EURO-CORDEX, and a Multimodel ensemble mean. The extreme precipitation assessment relied on the values associated to the highest percentiles, and to the values associated to the RTTs’ percentiles. To evaluate the possible future changes of the precipitation series, both at the most representative percentiles and RTTs’ percentiles, a comparison was made between the simulated values from EURO-CORDEX historical runs (1971-2000) and the simulated values from EURO-CORDEX future runs (2071-2100), considering two emission scenarios: RCP 4.5 and RCP 8.5. In the models’ performance, the Multimodel ensemble mean appeared to be within the best representing models. As for the projected changes in the extreme precipitation for the end of the century, when following the RCP 4.5 scenario, most models projected an increase in the extreme values, whereas, when following the RCP 8.5 scenario, most models projected a decrease in the extreme values.  

 

Acknowledgements

This work was financed by national funds through FCT–Portuguese Foundation for Science and Technology, I.P., under the framework of the project BeSafeSlide (PTDC/GES-AMB/30052/2017)

How to cite: Araújo, J., Ramos, A. M., Soares, P. M. M., Melo, R., Oliveira, S. C., and Trigo, R. M.: Landslide events in Portugal under future climate change scenarios, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4314, https://doi.org/10.5194/egusphere-egu22-4314, 2022.

EGU22-5098 | Presentations | NH3.4

Forecasting and mitigating natural hazards with remote and in-situ monitoring 

Rachael Lau, Carolina Segui, Al Handwerger, Nate Chaney, and Manolis Veveakis

Fast disasters happen slowly. Two of the most notorious “rapid-onset” disasters – earthquakes and landslides – have a common dependency on a single determining parameter known as the Gruntfest number. Deep-seated landslides, seemingly rapid-onset to the naked eye, have historically been monitored with in-situ monitors and borehole sampling to understand conditions within the shear band. These in-situ monitoring techniques, however, are high-cost and labor-intensive. As satellite data and resources expand, remote sensing has become a more cost-effective and realistic option for monitoring gradual ground deformation caused by the creep of a deep-seated landslide. Differential interferometric synthetic aperture radar (InSAR), specifically, can be used to measure displacements on the Earth’s surface with precision to a few centimeters or less. Here we use InSAR and pre-existing borehole data for the Canillo landslide in Andorra to characterize the evolution of temperature and thereby the Gruntfest number from August 2018-December 2021. Our results reinforce the characteristic models for deep-seated landslides in Segui et. al (2020), suggesting that there exists a critical Gruntfest value where the landslide is catastrophically unstable. Given the anticipated increase in extreme climate with climate change, we expect it to become more frequent for landslides to reach this critical Gruntfest value, therefore necessitating a more robust analysis of the evolution of the Gruntfest number and the overall destabilization process for future work.

How to cite: Lau, R., Segui, C., Handwerger, A., Chaney, N., and Veveakis, M.: Forecasting and mitigating natural hazards with remote and in-situ monitoring, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5098, https://doi.org/10.5194/egusphere-egu22-5098, 2022.

EGU22-7282 | Presentations | NH3.4

Thermo-rock: influence of temperature on rock slope properties 

Ondřej Racek and Jan Blahůt

Thermo-rock: influence of temperature on rock slope properties

Rock slope stability is closely linked with the mechanical properties of the rock slope mass. These properties are influenced by numerous factors including meteorological, thermal and hydrogeological. Even short-term temperature cycles caused by direct sunlight, together with water saturation cycles can change mechanical properties of rock slope surficial zone. To partially quantify these influences, we have carried out short-term experiments at a former quarry test site. Geotechnical instrumentation of partial blocks with crack meters, surface and microcracks deformation monitoring using strain gauges, geophysical ERT monitoring, subsurface temperature and humidity monitoring, and  IR camera surface temperature sensing were used during 24-hour monitoring campaigns. Additionally, surface hardness was repeatedly measured using Schmidthammer. Before and after monitoring campaigns, rock mass samples from different depths were collected, to perform basic geomechanical tests. Using these complex data, the influence of short-term temperature changes on the rock slope surficial layer properties were estimated.

How to cite: Racek, O. and Blahůt, J.: Thermo-rock: influence of temperature on rock slope properties, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7282, https://doi.org/10.5194/egusphere-egu22-7282, 2022.

EGU22-7465 | Presentations | NH3.4

A severe landslide event in the Alpine foreland under possible future climate and land-use changes 

Douglas Maraun, Raphael Knevels, Aditya N. Mishra, Heimo Truhetz, Emanuele Bevacqua, Herwig Proske, Giuseppe Zappa, Alexander Brenning, Helene Petschko, Armin Schaffer, Philip Leopold, and Bryony L. Puxley

Landslides are a major natural hazard, but uncertainties about their occurrence in a warmer climate are substantial. The relative role of rainfall, soil moisture, and land-use changes and the importance of climate change mitigation are not well understood.  Here, we develop and apply a storyline approach to address these issues, considering a severe event from June 2009 in Austria with some 3000 landslides as showcase. The approach leverages on convection permitting simulations that realistically represent the meteorological event while sampling uncertainties.  Depending on the changes of rainfall and soil moisture, the area affected during a 2009-type event could grow by 45% at 4 K global warming, although a slight reduction is also possible. Such growth could be reduced to less than 10% by limiting global warming according to the Paris agreement. Anticipated land-use changes towards a climate resilient forest would fully compensate for such a limited increase in hazard.

How to cite: Maraun, D., Knevels, R., Mishra, A. N., Truhetz, H., Bevacqua, E., Proske, H., Zappa, G., Brenning, A., Petschko, H., Schaffer, A., Leopold, P., and Puxley, B. L.: A severe landslide event in the Alpine foreland under possible future climate and land-use changes, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7465, https://doi.org/10.5194/egusphere-egu22-7465, 2022.

EGU22-7549 | Presentations | NH3.4

Thermal pressurization effect on landslide motion. Analysis with material point method. 

Núria Pinyol, Mauricio Alvarado, and Luis Lemus

Landslide motion can be affected by the thermal effects resulting from the dissipation in heat of the frictional work generated in shearing bands. This problem was initially addressed for simple landslide geometries which have to be defined a priori. In this context, these analyses assume the motion of a rigid block and the thermal-hydro-mechanical phenomena were solved at basal shearing bands and their vicinity.

Later on, in order to generalize the analysis and to face more complex geometries and features, governing equations were implemented in the material point framework. This numerical method (MPM) is able to model large strains and displacements thanks to the double discretization of the domain by means of a Eulerian computational mesh and Lagrangian material points. A new approach was proposed to deal with the pathological dependence of the frictional work generation and the computational mesh element size. The methodology consists in the definition of computational embedded joints whose thickness is defined as a material parameter. 

The presentation will show the formulation of the thermal pressurization phenomena in MPM. First, the methodology will be evaluated under triaxial conditions and simple landslide geometries using different mesh sizes.

Real cases are later analyzed and modelled in MPM. The first case refers to an incipient landslide induced by a drawdown. The potential risk of acceleration induced by thermal pressurization is analyzed. The non-accelerated behavior observed in the field is explained combining the frictional heating induced weakening with non-linear velocity dependent frictional hardening. The results show that increments of a few degrees of the frictional angle with slide velocity can counteract the heating induced acceleration. 

The second case discussed is a coseismic landslide whose acceleration and large run-out cannot be justified by means of simple strength law unless imposing an extremely and probably unrealistic strain softening.

How to cite: Pinyol, N., Alvarado, M., and Lemus, L.: Thermal pressurization effect on landslide motion. Analysis with material point method., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7549, https://doi.org/10.5194/egusphere-egu22-7549, 2022.

EGU22-8176 | Presentations | NH3.4

Permathawing permafrost 

Unnur Blær A. Bartsch, Guðrún Gísladóttir, and Harpa Grímsdóttir

Permafrost is perennially frozen ground occurring in about 24% of the exposed land surface in the northern hemisphere. The soil categorized as permafrost is named cryosol (or gelisol). Cryosol is widely spread in the Arctic, where it is continuous in the polar regions while in the sub-arctic it is discontinuous or sporadic. Iceland is located on the edge of the Arctic, and therefore permafrost can be found in many regions of the island. In addition, the frost effect is great, due to the unique climate and weather conditions and the high sensitivity of the Icelandic soil (volcanic soil – andosol). Although the distribution of permafrost is widespread it is in many respects dependent on the weather. As the climate warms, as it does now, the permafrost retreats rapidly, causing major changes in the earth’s surface. These changes can be accompanied by various dangers. In Iceland the retreat of permafrost in high mountains has led the top slopes to become unstable, leading to increased risk of landslides and similar hazards. In this project, permafrost in Iceland will be examined, more specifically the areas where permafrost is considered to be thawing and the dangers that accompany that thawing. The research area is by Strandartindur mountain in Seyðisfjörður. On the slope of Strandartindur is a rock glacier, which is in motion, but it is believed that permafrost is hidden in the ground beneath. The area is a well-known landslide area, where the source of landslides high up in Strandartindur is thick sediments that are partly considered permafrost or rock glaciers. Rock glaciers and thawing of permafrost in the vicinity and/or in the glacier threaten settlements in the area, due to landslides. This will be a threefold multidisciplinary project where aspects of natural hazards and society will be tied together; (i) data from soil thermometers and InSAR data will be examined, (ii) discussed and examined how permafrost can be included in monitoring, (iii) and how information on the dangers associated with permafrost can be disseminated to residents and the general public. The project will be useful for monitoring the hazard area at Strandartindur, while also for monitoring comparable areas in the country. It is hoped that the product of this project will be a monitoring research proposal. The result will show how best to measure permafrost, how best to monitor its thawing and how best to provide information to residents and the general public.

How to cite: A. Bartsch, U. B., Gísladóttir, G., and Grímsdóttir, H.: Permathawing permafrost, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8176, https://doi.org/10.5194/egusphere-egu22-8176, 2022.

EGU22-8247 | Presentations | NH3.4

Experimental analysis of seasonal processes in shallow landslide in a snowy region through downscaled and in situ observation 

Laura Longoni, Lorenzo Panzeri, Michele Mondani, and Monica Papini

The frequency and intensity of heavy precipitation events increased since the mid-20th century and, considering the climate crisis, it is important also to analyze the effects of processes and events that lead to faster snow mantle melting cycles in mountain areas.

Shallow landslides are induced by extreme hydrological events such as the occurrence of short and intense rainfall or by events of medium intensity but prolonged over time. Such slips involve generally reduced portions of land both in area and in thickness, however, they are dangerous due to the absence of warning signals and the lack of knowledge regarding their possible evolution.

This work deals with the experimental study of these landslides through the laboratory simulations on a small-scale slope, reproduced at the LIMAG Lab - Laboratory of mountain hydraulics and applied geology of the Lecco Campus and in situ seasonal processes observation at a mountain closed basin nearby Champoluc village in Aosta Valley region.

The central objective is to study the evolution of shallow landslides in reduced scale caused by external factor as snowmelt and rainfall and to compare the observations done in laboratory with the ones in situ. In order to investigate the behaviour of shallow landslides in these critical conditions, a series of sensors have been installed on the simulator. This technology includes three modified pressure transmitters for the pore water pressure evaluation which have been accompanied by other support instrumentation consisting of GoPro’s cameras, TDR (Time Domain Reflectometry) and georesistivimeter; all of them provide a cross check of phenomena processes.

Throughout the downscaled simulations with snow cover it was possible to observe several processes. The direct interaction between snow and ground does not favor the infiltration of a large amount of water. The protective role of snow lies in keeping the first film of soil at 0 degrees and loading the soil by decreasing its infiltrative capacity; this no longer occurs when the water melted by the snow flows downstream and begins to infiltrate into uncovered and warmer soils. Without thermal or overload barriers, the water pours into the ground. Therefore, a potential susceptible area can be the subject of different filtering and infiltrative contributions from upstream, saturating quickly and collapsing.

These laboratory experiments are the starting point for the in-situ analyses and provide a comparison with the observations made by means of ad hoc instrumentation set up at the Champoluc station. Highly detailed information is obtained concerning the density and thickness of the snowpack during seasonal processes. These contribute to defining the hydrogeological processes within the terrain, already studied in the laboratory, and to establishing the water balance.

How to cite: Longoni, L., Panzeri, L., Mondani, M., and Papini, M.: Experimental analysis of seasonal processes in shallow landslide in a snowy region through downscaled and in situ observation, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8247, https://doi.org/10.5194/egusphere-egu22-8247, 2022.

EGU22-8302 | Presentations | NH3.4

The potential impact of predicted climatic change on future slope stability in Ireland 

Niamh Cullen and Mary Bourke

Globally landslides are triggered by a myriad of singular and complex causes however the response of the Irish landscape to predicted climate changes are unknown. Some limited data suggest that there may be an increasing trend observed in the frequency of landslides in Ireland, clustered around specific high magnitude rainfall events. Whether this trend is associated with a changing climate trend is unclear. None of the several peer reviewed compendiums that include regional landslide studies and climate have a dedicated contribution on Irelands landscape. We provide a summary of the climate of Ireland from Holocene to future modelled predictions. We present a qualitative assessment of the role of Irish climate and climate change on landslides by identifying specific climate aspects which are important for slope instabilities including precipitation receipts, intensity and variability; the tracks of storms and other rain bearing weather systems and temperature changes. We examine published case studies and an inventory of known landscape response to past weather to consider, qualitatively, the likely response of landslides to predicted future climate trends. We also present rainfall data for three recent landslides events in Ireland and identify areas that require further landslide research. Our review finds that climatic factors which are predicted for Ireland, are cited in the published literature as contributors to slope failures in the Irish landscape. Analysis of rainfall data for the three recent slope failures further support this. Our review suggests that Ireland may see an increase in the frequency of landslide occurrence in the future. Although the data suggests that the majority of failures occur in peat, we highlight a paucity of data for coastal slope failures.  

How to cite: Cullen, N. and Bourke, M.: The potential impact of predicted climatic change on future slope stability in Ireland, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8302, https://doi.org/10.5194/egusphere-egu22-8302, 2022.

EGU22-8407 | Presentations | NH3.4

Effect of temperature on post-earthquake landsliding near the epicentre of the 2008 Wenchuan earthquake 

Marco Loche, Gianvito Scaringi, Ali P. Yunus, Filippo Catani, Hakan Tanyaş, William Frodella, Xuanmei Fan, and Luigi Lombardo

Geostatistical models of landslide susceptibility do not usually account for thermal data, although these data are widely available, and experiments demonstrate that temperature does influence the mechanical and hydraulic behaviours of soils and rocks via a variety of thermo-hydro-mechanically coupled processes.

We took the epicentral region of the 2008 Wenchuan earthquake in China as our study area, for which a rich multi-temporal inventory of landslides is available. We built a landslide susceptibility model using a generalised additive model with a slope-unit partitioning of the area (~500 km2, comprising 42 sub-catchments), and a minimal set of covariates, including the map of peak ground acceleration of the mainshock and Landsat 7 land surface temperature (LST) data retrieved from Google Earth Engine.

We demonstrated that the LST relates to the decay of post-earthquake landslide activity, and in particular that warmer slopes seems to be comparatively more affected by prolonged landsliding. We also verified that LST data provided different insight from that offered by the normalised difference vegetation index (NDVI), by running our model with NDVI maps instead of LST maps. The two input maps showed little collinearity, and the variable effects of the NDVI in the model output showed less complexity compared to those of the LST. This hints at the presence of thermo-mechanical effects in slopes in addition to the known hydrological effects, the latter being associated with changes in evapotranspiration and thus in principle capturable by the NDVI.

Even though studies in other regions, seismic and non-seismic, are necessary, we suggest that thermal data should be used in landslide susceptibility modelling more systematically because they could potentially improve the model results and suggest physically-based relationships influencing slope stability.

How to cite: Loche, M., Scaringi, G., Yunus, A. P., Catani, F., Tanyaş, H., Frodella, W., Fan, X., and Lombardo, L.: Effect of temperature on post-earthquake landsliding near the epicentre of the 2008 Wenchuan earthquake, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8407, https://doi.org/10.5194/egusphere-egu22-8407, 2022.

EGU22-8429 | Presentations | NH3.4

Effects of temperature and shearing rate on the residual shear strength of two pure clays 

Gianvito Scaringi and Marco Loche

The residual shear strength is the sole available strength in regular shear zones of landslides after large displacements. While it does not depend on the stress history, it has been shown to depend on the rate of shearing. Various mechanisms have been proposed to explain the shear-rate strengthening and weakening observed, in particular, in soils containing clay minerals. Frictional heating has been shown to be involved in shear weakening under very large shearing rates. However, changes in temperature (imposed as boundary conditions and propagating into the shear zone) also can affect the residual shear strength, even in drained condition, but evidence in the literature is scarce.

Here, we show results of temperature-controlled ring-shear tests on two pure clays (a commercial bentonite, very active, and a commercial kaolin, inactive), conducted under a wide range of shear displacement rates (0.02–45 mm/min) and normal stresses (50–150 kPa) typical of slow to rapid landslides. After attaining the residual shear strength under the chosen stress and displacement-rate conditions at room temperature (20 °C), we increased the temperature of the cell up to 55 °C and kept it constant over a sufficient shearing distance before gradually decreasing it back to the initial value.

We observed a clear effect of temperature on the residual shear strength of the active clay. We evaluated, in particular, a shear strengthening under slow shearing (up to +1.5 %/°C) which turned into a shear weakening under fast shearing (-0.5 %/°C) under any normal stress. We evaluated that the transition between the two behaviours occurred at a shear displacement rate of 0.1–1 mm/min, which is consistent with the range for the onset of shear rate-dependent behaviours. The effect produced by the increase in temperature was shown to be reversible, although in some cases we noticed a net decrease in strength that could be attributed to an improved alignment of the clay platelets resulting from the thermal cycle. Notably, little thermal effects were seen for the inactive clay, suggesting that such effects should originate from changes in physico-chemical forces of interaction at the microstructural level, which are indeed especially relevant in active clays.

Changes in residual shear strength with temperature could be related to changes in landslide activity (particularly for creeping landslides in clay soils) in terms of seasonal/progressive acceleration or deceleration driven by external hydro-meteorological forcing. Furthermore, these changes could also control the potential for runaway motion if a transition from a strengthening to a weakening behaviour occurs. 

How to cite: Scaringi, G. and Loche, M.: Effects of temperature and shearing rate on the residual shear strength of two pure clays, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8429, https://doi.org/10.5194/egusphere-egu22-8429, 2022.

EGU22-9678 | Presentations | NH3.4

Multi-site rock slope thermal monitoring: Initial results 

Ondřej Racek, Jan Blahůt, and Filip Hartvich

This presentation is dedicated to a short description of a combined rock slope thermal monitoring system. The newly designed system is affordable and modular, which predisposes it to installation at multiple sites. This system is being used to monitor four different rock slopes in Czechia for a period of up to 3 years. Slopes differ by lithology, structural setting aspect and modes of instability. The monitoring system consists of a climate station, rock mass surface zone thermal monitoring and unstable blocks crackmeter monitoring. Since 2018 we have instrumented 11 blocks, which differ in terms of shape, volume and mode of destabilization. Analyses of crackmeter, thermal and climatic time-series showed influences of weather and temperature cycles on the crackmeter aperture. Consequently, short-term (diurnal) and medium-term (annual) temperature cycles on the rock slope surficial zone were described. Data show high variability linked to the partial blocks geometry and rock slope properties.

How to cite: Racek, O., Blahůt, J., and Hartvich, F.: Multi-site rock slope thermal monitoring: Initial results, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9678, https://doi.org/10.5194/egusphere-egu22-9678, 2022.

EGU22-10442 | Presentations | NH3.4

Temperature effect on the residual shear strength. 

Luis M. García, Edwin A. Soncco, Núria M. Pinyol, and Antonio Lloret

The available strength on slip surfaces in landslide after a significant displacement and at motion is the residual strength. The residual strength depends on the soil properties including both solid skeleton (mineralogy, particle shape and size, index properties) and pore fluid (chemical and rheological properties). The available strength also depends, as extensively reported in the literature, on several factors that may not remain constant in time and affect the landslide stability and dynamics: applied stress, accumulated displacement and shear strain rate. With a less extensive literature related to, the effect of temperature on the residual strength have been also observed.

This work reports on the results of a large number of ring shear tests under controlled rate and temperature performed on different types of soils. The results are interpreted in terms of the influence of mineralogy, clay content and plasticity on temperature effects on residual strength.

How to cite: García, L. M., Soncco, E. A., Pinyol, N. M., and Lloret, A.: Temperature effect on the residual shear strength., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10442, https://doi.org/10.5194/egusphere-egu22-10442, 2022.

EGU22-11120 | Presentations | NH3.4

Snow melt triggering of shallow landslides under climate change. The case study of Tartano valley, Italian Alps. 

Davide Danilo Chiarelli, Giovanni Martino Bombelli, Daniele Bocchiola, Renzo Rosso, and Maria Cristina Rulli

Shallow landslides (SLs) imply downhill movements of soil, rocks, debris. These typically occur on steep terrains, in mountainous, and hilly areas, representing a major risk for people and infrastructures. Properly mapping of shallow landslides in space and time is fundamental for prediction, forecast, and setting up of countermeasures. However, modelling of shallow landslides is complex, given (very) local nature of the phenomenon. Recently investigation started about the role of snow melt in triggering shallow landslides, displaying increasing evidence of catastrophic events at thaw. Little was done hitherto in modelling snow melt triggered SLs, especially in terms of physically based modeling. Under the umbrella of the recent project MHYCONOS, funded by Fondazione CARIPLO of Italy, we developed a robust, and parameter-wise parsimonious model, able to mimic triggering of SLs accounting for the combined effect of precipitation duration and intensity, and snowmelt at thaw. In our model, when temperature is below 0 °C, precipitation is stored as snowpack on the soil surface, and released later in thaw season. Storage of melting water during springtime increases soil moisture, so creating potential for SLs. The model is demonstratively applied to the Tartano river valley, in the Alps of Lombardia region of Italy. In this region mass movements and flash-floods in the wake of intense storms are common. Currently from our model about 26% of the Tartano valley displays (permanent) unstable conditions, more than 40% of it influenced by soil moisture changes. Conversely, by applying a traditional rainfall-based analysis, only 19% of the basin is predicted as potentially unstable, mainly in fall, when intense rainfall occurs. When including snowmelt as a cause of SLS triggering, one finds anticipation of the (modeled) peak of instability to springtime, during April and May. Forcing the model under 6 different climate change scenarios of IPCC at 2050, and 2100, an increase is expected in temperature (i.e. with rapider snow melt), and extreme precipitation events, further aggravating SLs hazard. Mapping zones prone to instability in space and time under present conditions, and future scenarios, will help to prevent casualties, and damages in the short-term, while providing base for structural mitigation measures in the long term, during periods of potential instability, even at low to medium rainfall rates.

How to cite: Chiarelli, D. D., Bombelli, G. M., Bocchiola, D., Rosso, R., and Rulli, M. C.: Snow melt triggering of shallow landslides under climate change. The case study of Tartano valley, Italian Alps., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11120, https://doi.org/10.5194/egusphere-egu22-11120, 2022.

EGU22-12658 | Presentations | NH3.4

Development of AI Algorithms for landslides prediction (Emilia-Romagna Region, Italy) 

Nicola Dal Seno and Matteo Berti

Landslide risk is one of the most relevant hazard that affects the Emilia-Romagna Region. Almost 80,000 landslides were mapped in the mountainous part, and the percentage of land covered by landslides exceeds in some areas 25%. Although most of the regional landslides are relatively slow, the economic impact is critical: in 2019, 1 million euros was allocated for urgent safety interventions, and it is estimated that at least another 80 would be needed to complete the plan. These numbers place the Emilia-Romagna Region among the areas with the highest landslide risk in the world. The geological characteristics of the Region, combined with the growing exploitation of the territory and the climatic changes underway, are making this problem more and more dramatic. It is now clear that emergency responses are no longer sufficient and that they must be accompanied by prevention actions devoted to mitigate the risk. 

The main objective of this work is to develop Artificial Intelligence models for the prediction of landslides in the Emilia-Romagna Region. The idea is to exploit the data collected by the University of Bologna in the last 15 years, as part of the research activities carried out in collaboration with the Regional Agency for Civil Protection and the Geological Survey of the Emilia-Romagna Region.

Available data consist of time series of rainfall, soil moisture, snow cover and displacement of some active landslides that have occurred in the region in recent years. The displacement data comes from permanent GPS stations, wire strain gauges, and robotic total stations installed in several landslides for emergency purposes. These data show clear relationships between precipitation and rate of movement. However, such relationships are difficult to reproduce using physically-based approaches.

The proposed machine learning approach was applied to the Emilia-Romagna Region of Italy taking advantage of the historical landslide archive, which includes more than 2210 rainfall events  that triggered 2363 landslide, and of the genetic classification algorithm TPOT (Tree-based Pipeline Optimization Tool) with more than 1million combinations of hyperparameters. The results show that landsliding in the study area is strongly related to rainfall event parameters (Precipitation during the event, The day of the event and in which location happened) while antecedent rainfall seems to be less important (Precipitation 30 and 60 days before the rainfall event). The distribution of landslides in the rainfall precipitation - day of the year chart shows that after the dry summer season a rain event of at least 90-100 mm is necessary to trigger a landslide. However, this number decreases as the day of the year increases, and then arrives in spring where many landslides are shown have been triggered with modest rain events (15-30 mm). The algorithm also provided an F1 test result score of 0.825, which means that it can predict a true positive (rainfall event triggers landslide) with a 70% of precision and with 95.5% about true negative (rainfall event do not triggers landslide).

How to cite: Dal Seno, N. and Berti, M.: Development of AI Algorithms for landslides prediction (Emilia-Romagna Region, Italy), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12658, https://doi.org/10.5194/egusphere-egu22-12658, 2022.

EGU22-13375 | Presentations | NH3.4

Thermo-hydro-mechanical modeling of clayey geological medium: Theoretical framework and numerical study 

Saeed Tourchi, Antonio Gens, Jean Vaunat, and Gianvito Scaringi

In recent years, interest in argillaceous rocks has increased because they are being considered as potential host geological media for underground repositories of high-level radioactive waste (HLW). The host rock around the repository cells, containing the exothermic waste canisters, will be submitted to various coupled mechanical, hydraulic, and thermal phenomena. For a proper understanding and appropriate modelling of the excavation damaged zone around repository cells at elevated temperatures, the combined effects of those phenomena should be considered in an advanced constitutive model. The thermo-hydro-mechanical (THM) model presented herein is dedicated to non-isothermal unsaturated porous media. The model is developed within the framework of elastoplasticity, which includes features that are relevant for the satisfactory prediction of THM behaviour in argillaceous rocks: anisotropy of strength and stiffness, behaviour nonlinearity and occurrence of plastic strains prior to peak strength, significant softening after peak, time-dependent creep deformations, permeability increase due to damage, and shrinking of the elastic domain and the degradation of stiffness and strength parameters with temperature.

The model was applied to the numerical simulation of a full-scale in situ heating test conducted on Callovo-Oxfordian (COx) claystone, in the Meuse / Haute-Marne Underground Research Laboratory, simulating a heat-emitting, high-level radioactive waste disposal concept. The interpretation of the test was assisted by the performance of a numerical analysis based on a coupled formulation incorporating the relevant THM phenomena. Initial and boundary conditions for analysis, as well as material parameters, were determined from a comprehensive field and laboratory experimental programme. Thermal, hydraulic, and mechanical observations in COx claystone were discussed. The numerical analysis was able to accurately reproduce the behaviour of the experiment.

The performance and analysis of the in situ test have significantly enhanced the understanding of a complex THM problem, and have proved the ability of the theoretical formulation to provide adequate modelling capacities.

How to cite: Tourchi, S., Gens, A., Vaunat, J., and Scaringi, G.: Thermo-hydro-mechanical modeling of clayey geological medium: Theoretical framework and numerical study, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13375, https://doi.org/10.5194/egusphere-egu22-13375, 2022.

The study is aimed at verifying the reliability of the ERA5 reanalysis in reproducing histories of soil water fluxes exchanges (in terms of precipitation and evapotranspiration) leading to landslide events that actually occurred in Campania Region (Southern Italy). In the specific, the investigation deals with landslide events affecting pyroclastic covers result of repeated eruptions of Vesuvius and Campi Flegrei over the course of millennia. Indeed, for many events occurred in the last years, it is hard to retrieve continuous and reliable atmospheric data provided by weather stations in the vicinity of the affected slopes. Under such constraints, it could be difficult to identify the weather patterns triggering the events and then how they could vary in a climate change perspective. To deal with these issues, the fifth generation of atmospheric reanalysis made available by European Centre for Medium-Range Weather Forecasts (ECMWF) can represent a valuable support. ERA5 and its downscaling ERA5land return hourly data with an horizontal resolution of respectively 31km and 9 km over the entire globe. The data are available since Fifties and they are continuously updated with a delay of only 5 days for ERA5 and few months for ERA5land. Well-documented test cases over Campania Region for which long datasets of atmospheric data and details about the landslide events are available, are exploited to assess the capabilities of ERA5 reanalysis in reproducing antecedent and triggering soil water fluxes exchanges histories. Then, strengths and potential gaps are identified and thoroughly explained to permit a reliable adoption of the datasets.

How to cite: Rianna, G. and Reder, A.: Interpreting recent landslide events in Campania Region (Southern Italy) by using innovative approaches, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13399, https://doi.org/10.5194/egusphere-egu22-13399, 2022.

EGU22-13409 | Presentations | NH3.4

Climate-driven deterioration of long-life, long-linear geotechnical infrastructure 

Helen Brooks, Ross Stirling, Anthony Blake, Jessica Holmes, Zelong Yu, Arnaud Watlet, James Whiteley, Kevin Briggs, Alister Smith, Paul Hughes, Joe Smethurst, Jonathan Chambers, and Neil Dixon

Long-life, long linear geotechnical assets such as road, rail and flood embankments provide vital transport and flood defence infrastructure. Slope failures can close transport networks and cause delays, or can reduce the protection provided against flood hazards. This creates huge economic cost and can cause a risk to life for those using affected transport networks or resident on the floodplain. Where emergency repair is needed, the estimated cost of this is 10 times that of scheduled maintenance making effective asset management an industry priority (Glendinning et al., 2009).

However, projected climatic changes pose a threat to the stability of these assets. The most recent IPCC report highlighted projected future changes to temperatures and rainfall. These climatic changes alter the natural cycles of wetting and drying experienced by assets, which results in deterioration of asset performance. Deterioration can occur due to a variety of processes, including crack formation and propagation, downslope plastic strain accumulation and geochemical or mineralogical changes. These ultimately influence the strength, stiffness, permeability and water retention of the soil, which can often mean the construction standard of the asset is not maintained (Stirling et al., 2021).

The ACHILLES project aims to improve understanding of how these processes occur and how they may be affected by projected climatic change. Here, we introduce three large-scale field monitoring sites, including a purpose-built trial embankment, flood embankment and highway cutting. These assets are heavily instrumented to measure soil deformation, soil hydrology and local weather conditions, amongst others. Data from these sites are analysed to further understand deterioration processes and inform future design, construction, monitoring and management of these earthworks. We will discuss key insights from this project, including implications for stakeholders.

References:

Glendinning S, Hall J, Manning L (2009) Asset-management strategies for infrastructure embankments. Proc Inst Civ Eng Eng Sustain 162:111–120

Stirling RA, Toll DG, Glendinning S, Helm PR, Yildiz A, Hughes PN, Asquith JD. Weather-driven deterioration processes affecting the performance of embankment slopes. Géotechnique 2021, 71(11), 957-969.

How to cite: Brooks, H., Stirling, R., Blake, A., Holmes, J., Yu, Z., Watlet, A., Whiteley, J., Briggs, K., Smith, A., Hughes, P., Smethurst, J., Chambers, J., and Dixon, N.: Climate-driven deterioration of long-life, long-linear geotechnical infrastructure, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13409, https://doi.org/10.5194/egusphere-egu22-13409, 2022.

Abstract: Roots play a major role in reinforcing and stabilizing soil. The pullout mechanical characteristics of soil reinforcement and slope protection of the root systems of dominant shrub species (Pyracantha and Geranium) were estimated by in situ pullout tests in a karst area, in which roots were pulled out from soil to reliably test the pulling force. The F-s curves were multipeak curves with a noticeable main peak and main double peaks. The curves showed a linear increasing trend at the initial stage of drawing and decreased rapidly after reaching the peak. The F-s curves of root systems inserted into rock cracks showed secondary fluctuations in the later stage of drawing, and rock cracks stimulated the tensile efficiency of the root system more effectively. The maximum pulling force had a linear relationship with the increase in soil thickness and a disproportionate increasing trend with the increasing number of broken roots. The displacement of the maximum peak was different between the two tree species and was concentrated at 5-15 cm and 5-25 cm for Pyracantha and Geranium, respectively. The maximum pulling force of Geranium was 1.29 times that of Pyracantha, and the root system of Geranium had strong pullout resistance. These findings can enrich the theoretical knowledge of vegetation slope protection and provide a reference for the selection of soil and water conservation tree species.

How to cite: Ruan, S.: The pullout mechanical properties of shrub root systems in a typical karst area, Southwest China, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-745, https://doi.org/10.5194/egusphere-egu22-745, 2022.

EGU22-828 | Presentations | SSS2.8

Assessment of the gully morphology measurement method based on UAV photogrammetry 

Ji Yang, Yifan Dong, and Jiangcheng Huang

How to use a suitable method to accurately measure gully morphology is very important in the study of gully erosion monitoring and development, and the development of Unmanned Aerial Vehicle (UAV) has made it easy to apply UAV photogrammetry techniques to gully erosion studies. The aim of this study is to evaluate the accuracy of data and the efficiency of data processing by analyzing the errors of different schemes, and to provide suitable plan design ideas for the study of gully by UAV. Gully is the object of study and different flight schemes and Ground Control Point (GCP) placement schemes are used to acquire and process the data, and finally the errors are analyzed by Digital Surface Model (DSM) and orthophoto. Among all the schemes, the one with a flight altitude of 30m, 80%/70% photo overlap and 11 GCPs had the highest accuracy (Mean absolute error of 0.0353m and root mean square error of 0.0525m), but this scheme took more data collection and processing time and was less efficient. The number of GCPs and the placement location also have a significant impact on the accuracy,the position closer to the GCPs has a smaller error,and this study proves that the number of GCPs should not be more than 9 and should be evenly distributed in different parts of the gully.. When the flight altitude is 70m, the overlap is not less than 50%/40%, and the number of control points is 6, both accuracy and measurement efficiency can be taken into account at the same time. In addition, the sources of errors and the distribution locations of checkpoints with high errors were analyzed in four aspects: shadow, slope gradient, slope direction and vegetation. The use of UAVs in gully erosion studies is very convenient to get the later products with centimeter-level accuracy, and based on the results of the study we suggest that the flight altitude and photo overlap can be appropriately reduced when designing the scheme, and the number of GCP can be increased in the areas that need to be focused on and the areas with large elevation changes. At the same time, flight safety, UAV battery power, data collection efficiency and processing efficiency should be considered comprehensively.

How to cite: Yang, J., Dong, Y., and Huang, J.: Assessment of the gully morphology measurement method based on UAV photogrammetry, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-828, https://doi.org/10.5194/egusphere-egu22-828, 2022.

EGU22-1248 | Presentations | SSS2.8 | Highlight

Spatial pattern and influencing factors of Slope Length and Steepness Factors (LS) in Qinghai Xizang Plateau 

Endan Li, Qinke Yang, Guowei Pang, Chunmei Wang, Lijuan Yang, and Bingjie Qiao

Topography is the result of geological tectonic movement and land erosion development, which is min factor for slope processes such as surface runoff and soil erosion. At present, there is insufficient research on the spatial pattern and influencing factors of Slope Length and Steepness (LS) factors in the Qinghai-Tibet Plateau (QTP). Based on the 30m resolution SRTM (Shuttle Radar Topography Mission) digital elevation data, we calculates the Hack profile and area-elevation integral parameters, extracts the slope, slope length and LS factor, and analyze their relationship with the elevation. The results show that: 1) the slope and LS factor are small in the centre area of the plateau, and LS decreases from southeastern to the northwestern. The terrain inside the plateau is flat, surrounded by high mountains, and the slope, slope length and LS value are large in areas with large topographic relief; 2) The Hack profiles of the six main rivers including , etc, in the QTP are convex, and the hypsometric curve  of the rivers is close to convex. The geomorphic evolution of the region is in its youth stage as a whole, indicating that the neotectonics of the Qinghai-Tibet Plateau is active. This geomorphic feature makes the LS value distributed in Hengduan Mountains, Western Sichuan Plateau, Yarlung Zangbo River Grand Canyon, etc; 3) The overall dominent of LS in the QTP is slope steepness, while in the steep areas on the edge of the plateau is slope length, and the gentle areas centre QTP is slope; 4) The distribution characteristics of LS are consistent with soil erosion types. The extremely steep slope areas are mainly affected by glacier erosion, while the steep slope areas such as Southeast Tibet are greatly affected by water erosion, The transition zone between the plateau surface and marginal mountains is mainly water erosion and freeze-thaw erosion, and in the dry Qiangtang plareau has strong wind erosion The geomorphic and erosive topographic characteristics of the QTP discussed in the paper, will be a theorical base for the extraction of topographic factors in soil erosion and hydrology, and also has implications for research of multispherical interactions in Tibetan Plateau's earth system.

How to cite: Li, E., Yang, Q., Pang, G., Wang, C., Yang, L., and Qiao, B.: Spatial pattern and influencing factors of Slope Length and Steepness Factors (LS) in Qinghai Xizang Plateau, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1248, https://doi.org/10.5194/egusphere-egu22-1248, 2022.

EGU22-1257 | Presentations | SSS2.8

Effect of wildfire on stemflow velocity of pine 

Yusen Zhang and Lunjiang Wang

Stemflow, as one of the most important elements of forest precipitation redistribution, affects the delivery and spatial distribution of water and nutrient. Although approximately 4% of forests are affected by wildfire worldwide, no study has measured stemflow velocity after forests are affected by wildfire. The aim of this study is to determine (1) whether stemflow velocity changes after wildfire, (2) whether stemflow velocity changes with stem flow rate and height, (3) whether stem surface roughness affects stemflow velocity. In this study, we designed a device to quantify stemflow velocity. Our study revealed that the destructions of bark morphology and biological crust on the stem surface were the main factors affecting the change of stemflow velocity. The wildfire caused an enhanced stemflow velocity by roughly 30% for the burned pine compared to pine that did not affect by the wildfire. The stemflow velocity increased with stemflow rate following a power function. The width of pine bark had a negative linear relationship with stemflow velocity. With the increase in stemflow rate, the difference in stemflow velocity between burnt pine and unburnt pine was not significant. Stemflow velocity did not increase with the height of stemflow starting point increased, probably because increased stemflow energy caused the stemflow to detach from the stem. This study implies stemflow velocity affected the migration rate and spatial distribution of water and nutrient on stems and land surface around the base of tree. The increased stemflow energy is also likely to exacerbate soil erosion. All these can affect the restoration process of forest ecosystems from wildfire.

How to cite: Zhang, Y. and Wang, L.: Effect of wildfire on stemflow velocity of pine, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1257, https://doi.org/10.5194/egusphere-egu22-1257, 2022.

Gully erosion was one of the key processes of soil erosion in Hengduan mountain region, which belonged to the eastern part of Qinghai-Tibet Plateau. This dramatic changes in both horizontal and vertical direction has led to a diversity soil groups within the region. The aims of this study were to investigate the gully distribution and density in different soil zones, and find out the key factors that influenced the susceptibility and intensity of gully erosion of Hengduan mountain area. Totally 2300 investigation quadrats were randomly set with the size of 1 km × 1 km to check whether the occurrence and the density by Google Earth images. The ratio of gully occurrence (GR) was 25.5%, and the average gully density (GD) and gully number (GN) was 2.22 km km-2 and 20.4 of Hengduan mountain area. The annual temperature, vegetation and slope were the key factors that influences the occurrences of gullies in the alpine (>3700 m a.s.l), middle mountain (2000-3700 m a.s.l) and low mountain (<2000 m a.s.l) soil zones, respectively. The intensity of gully erosion showed exponential decreasing relationships with soil property including soil organic matters and silt content, and the average GD in different soil zones showed the same relationships with the R2 higher than 0.7. These results indicating that the distribution of gully erosion were more related to the external environmental factors, and the intensity of gully erosion were determined by soil properties at the regional scales.

How to cite: Dong, Y.: The distribution and intensity of gully erosion in different soil zones of the Hengduan Mountain area, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1947, https://doi.org/10.5194/egusphere-egu22-1947, 2022.

EGU22-2620 | Presentations | SSS2.8

Slope drivers grain yield in the Yunnan Plateau-Mountain areas 

Yuhong Qin, Li Rong, Xingwu Duan, and Zhijia Gu

The plateau-mountain areas around the globe are at risk of food insecurity because of its high intensity of soil erosion, limitied suitability of land for agriculture and increasing population pressure. Although plant breeding, improved plant-protection techniques, new variety, application of fertilizer promote increases of crop yields, more frequent extremes of climatic events, topography related to soil erosion can lead to progressive instability in crop production. However little consideration is given in relationships between climatic, topographical factors and grain yields in the Plateau-mountain region. In this study, we collected county-level data on the actual grain yield and environmental factors of the 119 counties in Yunnan province over the past 28 years (1985–2012) to explore the controls on grain yield and how they affect grain yields. Our findings showed that actual grain yeild(AGY) increased over time with an inter-annual fluctuation. Spatially, our findings revealed AGY were strongly influenced by slope. Regression analysis also showed that slope gradient could explain 26.29% of the spatial distribution variability of AGY. Redundancy analysis revealed that AGY positively correlated with evaporation, TN90p, TK, and pH whereas negative correlations with Apre, RH, R50, C/N, slope, and aspect. However climatic and topographic factors and soil properties exhibited greater impacts on AGY, compared to extreme climate indices. We also found that TK showed a significantly positive effect on AGY, indicating that counties with higher TK content in soils could produce higher actual grain yield. And R50 and aspect also had an indirect effect on AGY through influencing TK. Thus, the application of K fertilizer in northwestern, northeastern, and southeastern Yunnan province where soil TK was relatively low may be the key to improve grain yield.

How to cite: Qin, Y., Rong, L., Duan, X., and Gu, Z.: Slope drivers grain yield in the Yunnan Plateau-Mountain areas, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2620, https://doi.org/10.5194/egusphere-egu22-2620, 2022.

EGU22-3290 | Presentations | SSS2.8

Determination of Rill Erodibility and Critical Shear Stress of Saturated Purple Soil Slopes 

Dandan Li, Xiaoyan Chen, Zhen Han, Xiaojie Gu, and Yanhai Li

The hydrological conditions near the soil surface influence the soil erosion process, as determined by the soil erodibility and critical shear stress. The soil erodibility and critical shear stress of saturated purple soil slopes were computed and compared with those of unsaturated purple soil slopes. The detachment capacities computed through the numerical method (NM), modified numerical method (MNM) and analytical method (AM), from rill erosion experiments on saturated purple soil slopes at different flow rates (2, 4, and 8 L min−1) and slope gradients (5, 10, 15, and 20°), were used to comparatively compute the soil erodibility and critical shear stress. The computed soil erodibilities and critical shear stresses were also compared with those of unsaturated purple soil slopes. At the different slope gradients ranging from 5° to 20°, there were no significant differences in the soil erodibilities of the saturated purple soil and also in those of the unsaturated purple soil. The critical shear stresses slightly varied with the slope gradients. The saturated purple soil was relatively significantly more susceptible to erosion. The NM overestimated the soil erodibility of both saturated and unsaturated soils by 31% and underestimated the critical shear stress. The MNM yielded the same soil erodibility and critical shear stress values as the AM. The results of this study supply parameters for modeling rill erosion of saturated purple soil slope.

How to cite: Li, D., Chen, X., Han, Z., Gu, X., and Li, Y.: Determination of Rill Erodibility and Critical Shear Stress of Saturated Purple Soil Slopes, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3290, https://doi.org/10.5194/egusphere-egu22-3290, 2022.

The soil-covered Pisha stone area is the core source area of coarse sediment in the Yellow River and has become the focal point of ecological control of the Yellow River Basin. It is thus vital to study the spatial distribution of erosion coupling between geomorphology, vegetation, and water in the soil-covered Pisha stone area. Some valuable research results have been obtained already by using high-definition remote sensing aerial photographs and-high precision data from unmanned aerial vehicles. In particular, the image resolution obtained by unmanned remote sensing reveals small watershed topographic features and the characteristics of vegetation structure. Thus, the use of remote sensing is vital for research involving the spatial distribution of soil erosion in the slopes of the Pisha stone area and the dynamics of the geomorphic spatial structure of the slopes. In addition, the negative correlation between the spatial structure of the vegetation community and the energy dissipation impedance of erosion requires further study. Research into soil erosion in the Pisha stone area thus represents an urgent scientific need whose outcome will directly affect the theoretical foundation of a comprehensive model for treating soil erosion in this area.

How to cite: shen, Z.: Research progress of soil erosion in Pisha stone area of Yellow River, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3475, https://doi.org/10.5194/egusphere-egu22-3475, 2022.

Abstract: To explore the adaptable plants soil reinforcement effects in the karst region of southwest China. A horizontal pull friction test was performed on the roots and soil by using a three-year-old shrub Pyracantha, and the friction characteristics of root-soil interface were analyzed by scanning electron microscopy and interference method. The results indicated that :(1) the root system of pyracantha showed two failure modes in the pull-out test: the pull-out friction of root-soil interface increases with the increase of root diameter and vertical load. (2) When gravel content is set at 0, 10%, 30% and 50%, the frictional force between root and soil tends to decrease. (3) There was a positive correlation between root surface roughness and root diameter in diameter range of 1-6mm, with correlation coefficient R =0.995. (4) There is an obvious correlation between root-soil friction and roughness. These results are significant to further explore the mechanical mechanism of plant root-soil interaction, and to strengthen the shallow soil and repair the fragile ecological environment.

Key words: Karst; Pyracantha; Root-soil friction; Roughness

How to cite: Guo, H.: Research on the interaction between roots and soil of adaptable plants pyracantha in the karst region, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4227, https://doi.org/10.5194/egusphere-egu22-4227, 2022.

EGU22-4391 | Presentations | SSS2.8 | Highlight

Changes in Terrace Structures and Soil Properties in Hani Paddy Terraces after Conversion to Upland Terraces 

Yanbo Li, Ming Wang, Yuanmei Jiao, Li Rong, and Jiangcheng Huang

Terraces are important practice to conserve soil and water in farming systems in mountain areas. Since the mid- 20th century, marginalization of farmland occurred worldwide in mountainous areas. Farmers reduced investment in terraced fields or even abandoned the fields, and induced negative ecological consequences that are widely concerned. Current studies about marginalization of terraces mainly focus on upland terraces. The understandings of the process of marginalization of paddy terraces and their impacts are limited. Hani Paddy Terraces are one of the Globally Important Agriculture Heritage Systems. However, many of the paddy terraces have changed into upland terraces due to lack of water, labor out-migration ect, which hindered the conservation of the heritage. Taking Amengkong River Basin in Yuanyang County in Southwestern China as the case study area, we explored the changes in terrace structure, productivity of top soil (0~20 cm ) and the water holding capacity soil in 0~70 cm depth in Hani Paddy Terraces since conversion to upland terraces fields by 2~14 years. We found that (1) most ridges disappeared after conversion, the surface of fields were generally maintained in flat conditions, risers of terraces collapsed in varying degrees in more than 70% filed parcels. The degree of damages in terraces structures showed a U-shape curve along with time, as the pattern of drained by 2 years> drained by 3~4 years> drained by 10~14 years > drained by 5~9 years;(2)the soil productivity index increased after converted to upland terraces, and showed a trend of decreasing first and then increasing along with increasing years of conversion. (3) The water holding capacity of 0~70 cm soil dramatically decreased after conversion, and increasingly decreased along with increasing years of conversion. The maximum water holding capacity decreased by 9.16%~21.70% and the capillary volume decreased by 12.09%~24.20%,the decreasing of maximum water holding capacity and capillary volume were most serious in soils of 0~30 cm depth. Our study revealed the impacts of draining on structure of terraces and soil property in Hani Paddy terraces. The findings could enhance the understanding of the biophysical changes in soil during the marginalization in paddy terraces, which would benefit to the conservation and restoration of paddy terraces. 

How to cite: Li, Y., Wang, M., Jiao, Y., Rong, L., and Huang, J.: Changes in Terrace Structures and Soil Properties in Hani Paddy Terraces after Conversion to Upland Terraces, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4391, https://doi.org/10.5194/egusphere-egu22-4391, 2022.

EGU22-4557 | Presentations | SSS2.8 | Highlight

Soil creep and leakage process in shallow fissures on a karst slope based on particle composition analysis 

Longpei Cen, Xudong Peng, and Quanhou Dai

Rocky desertification has become one of the global ecological environmental problems. Karst rocky desertification area of southwest China is suffering from ecosystem degradation, and the combination of water and soil resources determines the stability of their ecosystems. In recent years, soil leakage has attracted attention because it was that under the development of carbonate shallow fissures, the water and soil along the such pipes as shallow fissures leaks underground, resulting in the allocation of soil and water underground, affecting the integrity of the overlying ecosystem. This study aimed to reveal the leakage loss process, characteristic and mechanism of soil in fissures on sloping lands in the karst area, taking fissures on sloping lands in karst plateau of Guizhou province as the research object, combined with the methods of paint marking and soil particle analysis was conducted to study the leakage loss process of soils in fissures. The result showed that rainstorm or downpour is the key factor of soil fissure leakage loss, and its leakage form is mainly soil creep. Soil creep displacements of different fissure at 104.5 mm rainfall event between 1.0 cm and 2.5 cm, accounting for more than 62.5% of the displacement at 332.7 mm rainfall event, while the soil creep displacement of fissures just range from 0.2 cm to 0.3 cm at the larger rainfall of 181.5; the particle content with different particle sizes in rock-soil interfaces and soils of six fissures selected under 3 precipitation events (104.5, 151.2 and 332.7 mm) showed that the fissure soil does not leak down uniformly, but some particles at the soil layers or rock-soil interfaces leak to the lower layer at random in the process of creep leakage loss. In other words, the occurrence of soil layers and particles are accidental, and the soil particles in the rock-soil interfaces and the soil layers of fissures have the possibility to leak down. Facts proved that the soil creep leakage loss in fissures is a complex process which is determined by the internal factors such as fissure structure, fillings characteristics and bottom connectivity, and such external factors as rainfall etc.
Key words: underground leakage loss; soil; karst fissure; sloping land; karst plateau

How to cite: Cen, L., Peng, X., and Dai, Q.: Soil creep and leakage process in shallow fissures on a karst slope based on particle composition analysis, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4557, https://doi.org/10.5194/egusphere-egu22-4557, 2022.

Plant litter incorporation into soil is a widespread phenomenon in the natural environment. Accurate estimation of the soil detachment capacity ( Dc ) driven by overland flow under litter incorporation effects is crucial for improving soil erosion prediction. However, the effects of litter incorporation on soil detachment processes are often ignored, and the temporal variation of Dc under litter incorporation effects remains unclear for the Loess Plateau of China. In this study, we conducted flume tests to determine the temporal variation of Dc for soils incorporating two typical plant litters ( Bothriochloa ischaemum (L.) Keng. litter, and Artemisia sacrorum Ledeb. litter) between May 2017 and October 2018 (a 524-day period). Furthermore, the key factors
affecting Dc were identified. Our results showed that the temporal variation in Dc was consistent across the different soil treatments (two litter incorporation treatments and one bare soil control), showing a rapid decline and then fluctuating at a low level, with Dc ranging from 0.115 to 6.876 kg m−2 s−1 . Incorporation of litter effectively reduced Dc , with the Dc of soil treatments incorporating litter being 15% to 29% lower than that of bare soil (2.110 kg m−2 s−1 ). Further analysis showed that the temporal variation in Dc was mainly affected by the development of a physical soil crust. Dc can be successfully estimated using a nonlinear equation incorporating flow shear stress and soil cohesion (R2 = 0.77, NSE = 0.65), which represent the erosive force and soil erosion resistance, respectively. Our study reveals the important role of plant litter in the soil detachment process and aids the understanding of soil erosion pathways. Further studies are needed to investigate the effects of a physical soil crust on the soil detachment process driven by overland flow.

How to cite: Liu, J.: Effects of Litter Incorporation on Soil Detachment Processes on the Loess Plateau of China, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4625, https://doi.org/10.5194/egusphere-egu22-4625, 2022.

EGU22-4927 | Presentations | SSS2.8

Evapotranspiration process under typical herb cover after wildfire 

Kemin Liu and Lunjiang Wang

Soil moisture is a key factor limiting vegetation succession in karst ecosystem. Wildfire changes soil physical and chemical properties, which likely affect evapotranspiration of post-wildfire plant recovery. However, merely studies have been performed to elucidate the evapotranspiration processes and the controlling factors. In this experiment, two typical herbaceous plants (Compositae Artemisia and Gramineae Saccharum) in karst areas were selected for pot experiment. The treatment without plant was used as the control. Combustions were laboratorially carried out with different severity (light, moderate, and high) to simulate different intensities of wildfire disturbance. During the experiments, the mass change in each pot was measured to obtain evapotranspiration under different weather conditions. We also collected meteorological data (total radiation, water vapor pressure, air temperature, relative humidity, atmospheric pressure, soil heat flux, soil temperature, etc.), biomass, and soil properties. Our study showed the impact of wildfire on evapotranspiration. We also compared the differences in evapotranspiration of different herb covers. We detected that weather conditions (e.g., duration of continual drought) also had important influences on the evapotranspiration during post-wildfire restoration. The study provides more insight into characteristics of soil water movement after wildfire in karst areas and evaluating the availability of soil moisture after wildfires. 

How to cite: Liu, K. and Wang, L.: Evapotranspiration process under typical herb cover after wildfire, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4927, https://doi.org/10.5194/egusphere-egu22-4927, 2022.

EGU22-4998 | Presentations | SSS2.8

The effect of soil erosion depth on maize yields, evidence based on a long-term field simulation experiment 

Li Rong, Xingwu Duan, Taicong Liu, and Yuhong Qin

Despite soil erosion has a strong impact on crop yield, whether soil erosion depth leads to abrupt or gradual crop yield changes is not well understood. To investigate how crop yields respond to soil erosion depth, we conducted a simulated erosion experiment by adopting the cut-and-fill method from 2012 to 2018 in a typical mountain area in the southeastern China. A completely randomized design with five soil erosion depth (5, 10, 20, 30 and 40 cm soil cut) and a control (0 cm soil cut) were used. Each treatment had three replicates. Maize was planted in these simulated erosion plots and maize yields were monitored from 2012 to 2018. Our results showed that the maize yield decreased with erosion depth and with decreasing remaining Ap horizon depth. Inconsistent with earlier studies, maize yield exhibited a quadratic function rather than linear response to increase in soil erosion depth and decrease in remaining Ap horizon depth. Soil erosion depth led to abrupt changes in maize yield. Compared with control, maize yield did not decrease significantly at 5 cm erosion depth or >25 cm remaining A horizon depth, but its reduction rate per 1cm of soil loss (3.36%) increased sharply at 10 cm erosion depth or 20 cm remaining Ap horizon. When remaining Ap horizon left 10 cm, maize yield demonstrated the lowest, which may be irreversible via application of chemical fertilization. Considering high heterogeneity of Ap horizon in the mountain area, soil erosion-crop yield relationship could be expressed well by remaining Ap horizon. We also found remaining Ap depth had a significant direct and indirect (via reduced SOM, soil available water, AP and AK contents) negative effect on maize yield. These results could be useful in identifying allowable soil-loss thickness and highlight the importance of soil nutrient monitoring in different soil erosion levels in designing a fertilization scheme aimed at ensuring food security.

How to cite: Rong, L., Duan, X., Liu, T., and Qin, Y.: The effect of soil erosion depth on maize yields, evidence based on a long-term field simulation experiment, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4998, https://doi.org/10.5194/egusphere-egu22-4998, 2022.

EGU22-6640 | Presentations | SSS2.8 | Highlight

Simulating the effects of erosion on organic carbon dynamics in agricultural soils 

Honghong Lin, Xingwu Duan, Yawen Li, Lanlan Zhang, Li Rong, and Ruimin Li

Soil erosion in croplands has a strong impact on global carbon (C) cycle. Assessment of erosional effects on soil organic carbon (SOC) dynamics in agricultural soils suffers from the difficulty of distinguishing the erosional effects and complex interaction processes between erosion and C cycling. To simulate the effects of soil erosion, a plots experiment including six erosion levels (0, 5, 10, 20, 30, and 40 cm eroded) was conducted for seven years (2012-2018). The erosion levels were simulated using artificial soil profiles created by mixing soils from different layers in the original soil profile (never eroded) in a certain proportion. Subsequently, based on the field observations during 2012-2018, the SOC dynamics of each experimental plot were simulated by using a process-oriented C cycle model (denitrification-decomposition (DNDC)) to quantify the effects of erosion on SOC dynamics. The measurements at the beginning of the plots experiment showed that simulated erosion resulted in the depletion of SOC with an average reduction rate of 9.7% per 10 cm of soil loss; SOC in eroded soils recovered after seven years of cropping, the declining slope of the SOC measured in 2018 was 3.0% per 10 cm of soil loss, suggesting that dynamic replacement had occurred. Model simulation results indicated that soil erosion could reduce the C inputs from crop residue by lowering soil productivity; soil heterotrophic respiration in eroded soils was restricted due to the lower initial SOC content. As a result, the simulated overall SOC stock in eroded soils was restored after erosion stopped because of the lower C output. These results indicated that SOC loss at eroding sites was caused mainly by lateral transport rather than enhanced decomposition. The fate of the displaced SOC within catchments is key to assess the net impacts of soil erosion on SOC dynamics at a large scale.

How to cite: Lin, H., Duan, X., Li, Y., Zhang, L., Rong, L., and Li, R.: Simulating the effects of erosion on organic carbon dynamics in agricultural soils, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6640, https://doi.org/10.5194/egusphere-egu22-6640, 2022.

EGU22-6676 | Presentations | SSS2.8

Interactive effects of land use and soil erosion on soil organic carbon in the dry-hot valley region of southern China 

Yawen Li, Xingwu Duan, Ya Li, Yuxiang Li, and Lanlan Zhang
Changes in land use can result in soil erosion and the loss of soil organic carbon (SOC). However, the individual contribution of different land use types on SOC variability as well as the combined impacts of land use and soil erosion are still unclear. The aims of the present study were to: (1) evaluate soil erosion and SOC contents under different land use types, (2) identify the influences of soil depth and land use on SOC content, and (3) determine the contribution of land use and soil erosion on SOC variability. We assessed the SOC and total soil nitrogen (TSN) contents under three types of land use in the dry-hot valley in southern China. Caesium-137 ( 137Cs) and excess lead-210 ( 210Pbex) contents were also measured to determine soil-erosion rates. Land use was found to significantly affect soil erosion, and erosion rates were higher in orchard land (OL) relative to farmland (FL), which is in contrast with previous study results. SOC and TSN contents varied significantly between the three land use types, with highest values in forest land (FRL) and lowest values in OL. SOC was found to decrease with decreasing soil depth; the highest rate of reduction occurred in the reference site (RS), followed by FRL and FL. The interaction between soil erosion and land use significantly impacted SOC in the soil surface layer (0–12 cm); the direct impact of soil erosion accounted for 1.5% of the SOC variability, and the direct or indirect effects of land use accounted for the remainder of the variability. SOC content in deep soil was mainly affected by factors related to land uses (89.0%). This quantitative study furthers our understanding on the interactive mechanisms of land use and soil erosion on changes in soil organic carbon.

How to cite: Li, Y., Duan, X., Li, Y., Li, Y., and Zhang, L.: Interactive effects of land use and soil erosion on soil organic carbon in the dry-hot valley region of southern China, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6676, https://doi.org/10.5194/egusphere-egu22-6676, 2022.

EGU22-6708 | Presentations | SSS2.8

Fractional Vegetation Cover Dynamics of the dry valleys in Southwest China from 2000 to 2020 

Qiankun Guo, Zhijie Shan, Ronghua Zhong, and Xingwu Duan

The vegetation cover in China has changed significantly in the past 30 years, however evidence for vegetation cover dynamics in the dry valley region (DVR) is still lacking. This study aimed to detect fractional vegetation cover dynamics in DVR from 2000 to 2020 with MODIS products, and evaluate the effects of precipitation and hydropower construction projects on vegetation cover dynamics. The results showed that: (a) the long-term average annual fractional vegetation cover for the dry valley region, including the dry-hot valleys, dry-warm valleys and dry-temperature valleys were 0.452, 0.426, 0.504 and 0.446, respectively. Significant decreasing trend of annual FVC from 2000 to 2020 was reported for overall dry valley region. Specifically, significant reducing trends were mainly observed in the dry-hot valleys and dry-warm valleys that located in the west-south part of DVR, while significant growing trends in the dry-temperature valleys of the Min and Baishui Rivers; (b) Annual Precipitation and hydropower projects construction are two key factors that contributing to changes in annual FVC for valleys. The present study is probably the first report on vegetation cover dynamics and the effects of influencing factors in DVR of Southwest China, and helpfully for further scientific studies and restoration management practices in DVR, although more detailed studies for the changes of vegetation cover and its mechanism need to be done.

How to cite: Guo, Q., Shan, Z., Zhong, R., and Duan, X.: Fractional Vegetation Cover Dynamics of the dry valleys in Southwest China from 2000 to 2020, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6708, https://doi.org/10.5194/egusphere-egu22-6708, 2022.

EGU22-6779 | Presentations | SSS2.8 | Highlight

Rill flow velocity affected by the subsurface water flow depth of purple soil in Southwest China 

Tingting Tao, Shiqi Chen, and Xiaoyan Chen

    Subsurface water flow above the weakly permeable soil layer commonly occurs on purple soil slopes. However, it remains difficult to quantify the effect of subsurface water flow on the surface flow velocity. Laboratory experiments were performed to measure the rill flow velocity on purple soil slopes containing a subsurface water flow layer with the electrolyte tracer method considering 3 subsurface water flow depths (SWFDs: 5, 10, and 15 cm), 3 flow rates (FRs: 2, 4, and 8 L min-1), and 4 slope gradients (SGs: 5°, 10°, 15°, and 20°). As a result, the pulse boundary model fit the electrolyte transport processes very well under the different SWFDs. The measured rill flow velocities were 0.202 to 0.610 m s-1 under the various SWFDs. Stepwise regression results presented the positive dependence of the flow velocity on FR and SG but a negative dependence on SWFD. SWFD had notable effects on the rill flow velocity. Decreasing the SWFD from 15 to 5 cm increased the flow velocity. Moreover, the flow velocities under the 10- and 15-cm SWFDs were 89% and 86%, respectively, of that under the 5-cm SWFD. The flow velocity under the 5-, 10- and 15-cm SWFDs was decreased to 89%, 80%, and 77%, respectively, of that on saturated soil slopes. The results will enhance the understanding of rill flow hydrological processes under SWFD impact.

How to cite: Tao, T., Chen, S., and Chen, X.: Rill flow velocity affected by the subsurface water flow depth of purple soil in Southwest China, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6779, https://doi.org/10.5194/egusphere-egu22-6779, 2022.

SSS3 – Soils as Records in Time and Space

EGU22-218 | Presentations | SSS3.2

Iron speciation throughout a karst pedosedimentary record in South of Italy 

Beatrice Giannetta, Michele Cassetta, Danilo Oliveira de Souza, Gino Mariotto, Giuliana Aquilanti, and Claudio Zaccone

A 3-m thick sediment was found in a limestone mine located in the Apulia region (south of Italy), at a depth of 25-30 m from the current ground level. Samples from 5 layers were investigated by X-ray Absorption Near Edge Spectroscopy (XANES) and Extended X-ray Absorption Fine Structure (EXAFS) at the iron (Fe) K-edge, paired with Raman spectroscopy (RS) and thermal analysis.

The pedosediment record under investigation represents a peculiar stratigraphic series showing complex features related to the Fe dynamic.

From a technical point of view, the challenges of phase identification in Fe oxides are many, but the application of multiple techniques provides sufficient evidence for the identification and discrimination of Fe phases. The combination of Fe XANES and EXAFS allowed to get information on the Fe speciation and its local structure. In detail, ferrihydrite is the most abundant Fe species, followed by goethite and minor amounts of hematite. Ferrihydrite content decreases with depth, where goethite and hematite occur. The presence of ferrihydrite, only detected by Linear Combination Fitting (LCF) on the first-derivative XANES spectra and on the EXAFS spectra, suggests that redox cycling of Fe occurred in these sediments. In addition, higher contents in Fe(III) complexed by organic matter is found in the top and deepest layer.

Generally speaking, RS and thermal analysis might present a promising tool to unravel some mineralogical components such as calcite, goethite and some Mn-oxides. Unlike for the identification of some Fe-bearing minerals like ferrihydrite, RS seems to be not well suited and this aspect require further investigations.

Definitely, this study confirms that each layer has preserved the distinct features that relate to its time of deposition. We underline how a multidisciplinary approach is strongly required to obtain reliable records when peculiar environments like karst pedosequences are investigated.

How to cite: Giannetta, B., Cassetta, M., Oliveira de Souza, D., Mariotto, G., Aquilanti, G., and Zaccone, C.: Iron speciation throughout a karst pedosedimentary record in South of Italy, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-218, https://doi.org/10.5194/egusphere-egu22-218, 2022.

EGU22-969 | Presentations | SSS3.2

Soils on mining relicts in Upper Silesia, Poland – first results from the Mala Panew River catchment and the UNESCO heritage site Tarnowskie Góry 

Thomas Raab, Alexander Bonhage, Wouter Verschoof-van der Vaart, Ireneusz Malik, Alexandra Raab, Anna Schneider, Jai Singh Chauhan, and Jeenus Joby Thekkethala

The mining region of Upper Silesia has a long tradition with international significance. In 2017, the historic silver mine in Tarnowsky Gory was recognized as a UNESCO World Heritage Site. With the mining of galena (PbS), the region developed into one of the most important industrial centers in Central Europe in the 16th century. In addition to the underground galleries, the historical mining has left thousands of mining shafts as small relief forms, which have not been systematically investigated so far. Partly the mining shafts are associated with Relict Charcoal Hearths (RCH), another small form which is a result of charcoal production. In the Mala Panew River valley, north of Tarnowsky Gory, several tens of thousands of these RCH are found, which could be mapped by LiDAR in recent years. More detailed pedological investigations, which would allow a systematic comparison with other known RCH sites, are missing so far.

Within the framework of a Polish-German cooperation project, we started in 2021 to investigate the mining shafts and the RCH in Tarnowsky Gory and in the Mala Panew River valley from a pedological-sedimentological point of view. At the RCH sites on the Mala Panew River, we focused on the following questions: How was the soil stratigraphy changed by the RCH construction? What are main processes of soil development before and after RCH construction? What was the role of the pits surrounding the RCH? How do the sites differ from the RCHs at Tarnowsky Gory especially with respect to soil properties and soil genesis? In Tarnowsky Gory, where a RCH was excavated directly next to a mining shaft, the following questions were in focus: How did the mining activity change soil distribution and soil properties? What are main processes of soil development on the different parts? What is the origin of the pit infill? What is the origin of the shaft rim deposits?

Our work program included the construction of excavator trenches across the mining remains, construction, description and sampling of soil profiles along the trenches, schematic drawing of the soil stratigraphy, and laboratory analyses for the determination of texture, Munsell color, pH (CaCl2, H20), CaCO3 content, Ctotal & Ntotal and total elements by FPXRF. We present the first results of the ongoing investigations.

How to cite: Raab, T., Bonhage, A., Verschoof-van der Vaart, W., Malik, I., Raab, A., Schneider, A., Chauhan, J. S., and Thekkethala, J. J.: Soils on mining relicts in Upper Silesia, Poland – first results from the Mala Panew River catchment and the UNESCO heritage site Tarnowskie Góry, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-969, https://doi.org/10.5194/egusphere-egu22-969, 2022.

EGU22-1520 | Presentations | SSS3.2

Identification of the phases and mechanisms of Colluvisols formation in different soil regions 

Tereza Zádorová, Vít Penížek, Magdalena Koubová, Daniel Žížala, Radka Kodešová, Ondřej Drábek, Václav Tejnecký, Miroslav Fér, Aleš Klement, Antonín Nikodem, Tomáš Hrdlička, Jessica Reyes Rojas, Marko Spasic, Petra Vokurková, Lenka Pavlů, Karel Němeček, Aleš Vaněk, and Lenka Lisá

Colluvisols represent an important part of the soil cover, occupying concave slope elements especially in landscapes with undulating relief. Their development reacts to changes in land use or climate, manifested by intense erosion activity or longer resting periods with predominantly in-situ pedogenesis. In climatically, pedologically and historically different regions, diverse colluvial profiles can be encountered. In this study, we investigated deep colluvial profiles in three agricultural plots in Czechia with different soil cover, climatic and geological conditions in order to identify differences in the depositional pattern and erosion history of the areas. In each of the plots, two profiles (depths ranging from 200 to 400 cm) were opened in the toe-slope and side valley areas. Individual layers were investigated by various methods, including optically stimulated luminescence dating, 137Cs activity, concentration of vertically stable geochemical tracers (organochlorine pesticides, nutrients) or micromorphology and clay mineralogy, allowing the layers to be linked to periods of human activity. In all study areas, a significant difference in the colluvial deposition mechanism was found in the toe-slope and side valley areas. While the positions in the side valleys were mainly composed of older material with a minimum concentration of human-bound substances, the profiles in the toe-slopes are characterized by a significant deposition of recently accumulated material. The most pronounced redistribution of material was recorded in the Chernozem area on loess. In the toe-slope area, maxima of 137Cs, DDT (up to 350 µg/kg) and phosphorus were found at 100-140 cm, indicating the very low age of this layer (from the mid-20th century). The mineralogical and chemical composition of this layer and the layer below (140-220 cm) shows considerable similarities to the substrate material, indicating severe truncation of the source soils and accumulation of ploughed parent material. In contrast, in the side valley, this new material was found only in the topsoil, with approximately 3 m of older, humus-rich material beneath. This area is therefore not an area of recent deposition, but rather of material transport. The original buried Chernozem was found in both cases at a depth of about 300-350 cm. In the Cambisol area, the combination of rill and sheet erosion led to the formation of a highly stratified profile with a large variation in texture or humus content. The maximum of human-bound substances (137Cs, HCB, DDT) was found at a depth of 1 m, underlain by older material with signs of post-depositional pedogenesis (weathering and redox processes). The area of side valley was, as in the previous area, almost unaffected by recent sedimentation. In Luvisol area, the concentration on human-bound substances was generally lower and affected only the upper, humus-rich layer (ca 80 cm) of the Colluvisols, both at the toe-slope and the side valley. Below this layer, the profiles are characterised by relatively pronounced pedogenesis in the sedimentary material (clay coatings visible at the thin sections), indicating slower sedimentation and a longer period of sedimentary quiescence.

Study was supported by grant nr. 21-11879S of the Czech science foundation and MEYS CR project nr. CZ.02.1.01/0.0/0.0/16_019/0000845.  

How to cite: Zádorová, T., Penížek, V., Koubová, M., Žížala, D., Kodešová, R., Drábek, O., Tejnecký, V., Fér, M., Klement, A., Nikodem, A., Hrdlička, T., Reyes Rojas, J., Spasic, M., Vokurková, P., Pavlů, L., Němeček, K., Vaněk, A., and Lisá, L.: Identification of the phases and mechanisms of Colluvisols formation in different soil regions, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1520, https://doi.org/10.5194/egusphere-egu22-1520, 2022.

EGU22-2222 | Presentations | SSS3.2

How to determine the anthropogenic signal at less settled spatially bounded archaeological sites? 

Martin Janovský, Alžběta Danielisová, Jan Horák, Barbora Strouhalová, and Daniel Bursák

Our research on spatially bounded Iron Age enclosure of the Viereckschanze type in southern Bohemia made it possible to distinguish the anthropogenic influence of the Iron Age from modern human activities. We collected over 456 samples from 200 cores to a depth of up to one metre. Samples were measured using pXRF to determine the content of the following elements: Al, Si, P, K, Ca, Ti, Mn, Fe, Cu, Zn, As, Rb, Sr, Zr, Pb, and LE – ‘light elements’). Subsequent isometric log-transformation of ppm elemental contents and PCA allowed to distinguish the prehistoric anthropogenic influence from the current modern one. The result of the analysis is as follows: 1) the P signal typical for archaeological settlements was found mainly outside of the enclosure; 2) the conventional anthropogenic signal from the inside of the enclosure was only represented by Mn; 3) other elements related to possible anthropogenic activities were revealed only after applying statistical analysis (As, Pb, Zn, Cu); 4) the unusual manifestation of Si and Ti was connected to the archaeological contexts. The combination of these results (Cu, Zn, Pb) and magnetic measurements revealed places of metallurgical activity inside Viereckschanze. It is certain that the site was not only a place of residential activity, but also of production activity. Viereckschanze was only occupied for a short period of time.

The presented abstract is adapted from the article published in Catena in 2022.

 

Acknowledgements:

This work was supported by the Czech Science Foundation [Project: Mobility of materials and life cycles of artefacts: archaeometry of metals and glass of the La Tène and early Roman period; project number: 18-20096S]. M.J. was supported by project “Geochemical insight into non-destructive archaeological research” (LTC19016) of subprogram INTER‐COST (LTC19) of program INTEREXCELLENCE by Ministry of Education, Youth and Sport of the Czech Republic.

How to cite: Janovský, M., Danielisová, A., Horák, J., Strouhalová, B., and Bursák, D.: How to determine the anthropogenic signal at less settled spatially bounded archaeological sites?, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2222, https://doi.org/10.5194/egusphere-egu22-2222, 2022.

EGU22-2354 | Presentations | SSS3.2

Spatial heterogeneity of buried and recent soils in a drift sand area in North-Eastern Germany 

Kazuki Uchino, Alexandra Raab, Alexander Bonhage, Anna Schneider, Thomas Raab, Klaus-Peter Wechler, and Albrecht Bauriegel

In the North European Lowland, on the sandy deposits of the Weichselian glaciation, soils developed during periods of landscape stability are often conserved under windblown sand. However, small-scale changes of sediments and other soil forming factors can result in high spatial variation of soil properties in these landscapes; and relocation of soil material by geomorphic processes further increases the spatial heterogeneity of the soil landscape. These spatial variations in soil properties and conservation need to be considered in order to correctly decipher and interpret the buried soils as records of past environmental conditions.

In the forefield of the open-cast mine Cottbus-Nord, archaeological excavations in a dune and drift sand area revealed widespread buried soils of different characteristics. The densely spaced excavation trenches give exceptionally good insights into the pedosphere, allow for reconstructing the distribution of fossil and recent soils in a high spatial resolution, and offer good opportunities to improve the understanding of spatial and temporal patterns of soil formation. Remains of postpleistocene hunter-gatherer campsites were documented in archaeological excavations and found to be associated with a buried soil horizon.

We recorded the stratigraphy of soil profiles along more than 15 trenches within an area of about 20 ha, and additionally described the position of buried soils from GPR surveys and microdrone photogrammetry. In a recently opened, 455 m long trench, all characteristic soils and sediments of the study region could be observed and stratigraphically connected. Within this trench, four profiles were identified for further research. Each profile was classified and described according to WRB and German Guidelines for Soil Mapping; and was sampled and investigated through laboratory analyses including determination of organic matter, total carbon and nitrogen contents, soil colour identification, texture analysis, magnetic susceptibility measurement, metal content analysis using X-ray fluorescence analyzer and pH measurement. The compaction and cementation of soil horizons was assessed in situ with a pocket penetrometer.

Results show a small-scale mosaic of soils developed on fluvio-aeolian, limnic and aeolian sediments, high spatial variations in pedogenesis due to varying groundwater influence and intensity of horizontal and vertical leachate transport, and high variations in the erosion or conservation of fossil soils. The soil and sediment stratigraphy reflects several phases of landscape development: i) the formation of a Late Pleistocene soil on fluvio-aeolian deposits, ii) a fossilization by aeolian sands, iii) a stability phase with intensive podsolization and peat formation, and iv) a land use-induced aeolian remobilization of the sands. 

How to cite: Uchino, K., Raab, A., Bonhage, A., Schneider, A., Raab, T., Wechler, K.-P., and Bauriegel, A.: Spatial heterogeneity of buried and recent soils in a drift sand area in North-Eastern Germany, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2354, https://doi.org/10.5194/egusphere-egu22-2354, 2022.

EGU22-3563 | Presentations | SSS3.2

Initial processes of soil formation on Relict Charcoal Hearths (RCHs) in the Tauer Forest (Brandenburg, Germany) 

Alexandra Raab, Minhye Kim, Alexander Bonhage, Anna Schneider, Thomas Raab, and Albrecht Bauriegel

In the Tauer Forest, a woodland area north of the city of Peitz (Brandenburg, Germany), extensive charcoal burning was carried out from the mid-16th century to the mid-19th century resulting in numerous Relict Charcoal Hearths (RCHs). The most prominent feature of the soils on RCHs is the anthropogenically modified 20-30 cm thick RCH substrate that buries the former forest soil. The RCH substrate is a quite heterogenous mixture of mineral and organic compounds which were modified through heat during charring. It is characterized by its black color resulting from charcoal fragments (from fine dust to decimetre size pieces), lower bulk density, and higher porosity.

After their use, the charcoal production sites were abandoned and soon became overgrown. Soil formation could commence in this anthropogenically modified RCH substrate. During recently conducted field work on RCHs in the Tauer Forest we detected features of initial podzolisation (bleaching of quartz grains) within this RCH substrate. To further investigate initial processes of soil formation (acidification, podzolisation, accumulation of soil organic matter) on RCHs, two different RCH sites were selected in the Tauer Forest: one RCH site in the forest district Tannenwald and one RCH site in the forest district Kleinsee.

The Tannenwald site (RCH no. 29958) is situated in the western part of the Tauer Forest. It is an inland dune area with a coniferous forest (Scots pine, Pinus sylvestris L.) plantation. The forest soils are Podzols and the soils on the RCHs are classified as Spolic Technosols.  The dense undergrowth consists of mainly blueberry (Vaccinium L.). Dendrochronological ages (determination by K-U Heußner, DAI Berlin) of charcoal pieces proof, that the charcoal hearth was used after 1655.

The Kleinsee site (RCH no. 29424) is situated in the eastern part of the Tauer Forest. The parent material is sand from glaciofluvial sediments of the Weichselian glaciation. The forest soils are Brunic Arenosols (Protospodic) and the soils on the RCHs are classified as Spolic Technosols (Arenic). The deciduous forest is dominated by sessile oak (Quercus petraea (Matt.) Liebl.). The undergrowth is only scarce with some ferns (sporadic), blueberry (Vaccinium L.), some shoots of rowan (Sorbus aucuparia L.)  and some moss. There is no dendrochronological age available from the RCH, but RCHs nearby were dated from the 18th to the 19th centuries.

At both sites, three soil monoliths were sampled on the RCH platform and three monoliths from the natural forest soil as reference soils. The soil monoliths were sampled continuously in 3 cm vertical spacings. Following lab analyses were carried out: pH (CaCl2), pH (H2O), total carbon (TC), total nitrogen (TN), CECeff and total concentrations of selected elements. Analyses of pedogenic Fe are in progress. First results of these study will be presented and discussed.

How to cite: Raab, A., Kim, M., Bonhage, A., Schneider, A., Raab, T., and Bauriegel, A.: Initial processes of soil formation on Relict Charcoal Hearths (RCHs) in the Tauer Forest (Brandenburg, Germany), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3563, https://doi.org/10.5194/egusphere-egu22-3563, 2022.

EGU22-4341 | Presentations | SSS3.2

Identifying taxa from highly degraded shell micro-fragments in anthropogenic soils from Waterfall Bluff, South Africa 

Annette Oertle, Katherine Szabó, Sibongiseni Gaqa, Hayley Cawthra, Irene Esteban, Justin Pargeter, and Erich Fisher

Archaeomalacological analysis is generally undertaken on recovered macro-remains to characterize the overall composition of faunal remains in a deposit. Given the susceptibility of shell middens to a variety of taphonomic processes, it is assumed that the prior presence of shell in deposits may therefore occasionally be missed. Deteriorated micro-remains can mix indistinguishably into surrounding sediments and make their analyses and identification difficult, particularly in older deposits and in environments that experience rapid rates of weathering. This paper explores whether microscopic remains of deteriorated molluscs can be distinguished from other microscopic remains at the coastal rock shelter site of Waterfall Bluff in Mpondoland, South Africa. The methodology uses a multi-scalar approach integrating shell mineralogy and microstructure using the taxonomic distinctiveness of these features. The diagnostic features (e.g. morphology, hinges, spires, and apertures) used for identifying macro-remains are absent in micro-remains, therefore unique methods of identification are needed to identify these microscopic mollusc fragments. Through mineralogical analyses and scanning electron microscope (SEM) imaging, the nacreous remains of mussel shell were identified from previously unidentified degraded shell remains as well as sediment samples from Waterfall Bluff. These highly degraded remains were located under the dripline in the oldest deposits (LBCS) which are sharply comparable to the more well-preserved macro mollusc evidence in the younger (SRCS) deposits. These methods recovered ‘invisible’ evidence of shellfish remains, which led to additional and clearer evidence of continued coastal foraging from Marine Isotope Stage 3 to the early Holocene (40 ka to 10 ka) on the South African coast.

How to cite: Oertle, A., Szabó, K., Gaqa, S., Cawthra, H., Esteban, I., Pargeter, J., and Fisher, E.: Identifying taxa from highly degraded shell micro-fragments in anthropogenic soils from Waterfall Bluff, South Africa, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4341, https://doi.org/10.5194/egusphere-egu22-4341, 2022.

The Chinese loess-paleosol sequences provide valuable records of the Quaternary climate changes. However, the relative contributions of the Quaternary paleoclimate (e.g. precipitation, temperature, evapotranspiration, vegetation and dust addition) on interglacial paleosol development, and which factor plays a key role are inadequately studied in the Chinese Loess Plateau (CLP). Here, we examine the relative contributions of these factors on paleosol development on the CLP by a sensitivity analysis. For this, we simulate paleosol development using the climate-soil model LOVECLIM-SoilGen2.

The sensitivity analysis was done during two interglacials, MIS11 and MIS13, where MIS11 shows quite contrasting climate forcing with MIS-13. Several simulations were run; in each simulation, one parameter is allowed to change at a time (e.g. precipitation), and others are kept constant (as in reference). A reference simulation is included 100-year average values of the end of Holocene simulation mimicking the Pre-Industrial climate. Additionally, combined effects of climatic parameters (e.g. precipitation and evapotranspiration) were investigated, and mean absolute error was calculated between each of the sensitivity simulation and the actual simulation (combination of all soil forming factors).   

Our results show that precipitation has the largest influence on the depth redistribution of soil properties (calcite and clay) in MIS11 and MIS13 and dust addition is the dominant factor affecting the amount of simulated calcite and clay. Our results indicate that potential evapotranspiration has a pronounced impact during MIS13. Unlike the simulated MIS11 paleosol, which is explained by precipitation plus dust addition, the MIS13 paleosol development is better explained when potential evapotranspiration is also taken into account during this extreme interglacial. 

How to cite: Ranathunga, K. N., Finke, P., Yin, Q., and Wu, Z.: Modelling the relative effect of different climate factors, vegetation and dust deposition on the MIS-13 and MIS-11 paleosol development on the Chinese Loess Plateau, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4663, https://doi.org/10.5194/egusphere-egu22-4663, 2022.

EGU22-6188 | Presentations | SSS3.2

The Secret of the Chalcolithic Shafts: Insights from the Portable Luminescence Method (pOSL) 

Oren Ackermann, Edwin C.M. van den Brink, Eriola Jakoel, Yaakov Anker, Joel Roskin, and Yotam Asscher

A late Chalcolithic period site was discovered in central Tel Aviv during a salvage excavation that was conducted by the Israeli Antiquities Authority. The remains included 113 pits and shafts which were divided according to their shape into four groups:

 

Group 1: Round pits: a group that includes three types: small (0.5–0.6m diameter); medium (c. 1m); large (c. 2m). Some pits contained brown sediment mixed with ceramic fragments, animal bones, and flint; others had no archaeological finds.

 

Group 2: Bell shape pits

 

Group 3: Narrow, deep shafts 1–2m diameter, 3–6m deep. This group includes three types of shafts that differ from each other according to their shape: shafts with uniform width; conical shafts narrowing towards the bottom; shafts with a wide niche in the lower third. In some of the shafts, the fill consisted of brown sediments; some contained archaeological finds and some did not. In some of the shafts, the fill contained fragments of aeolian sandstone, sand, and anthropogenic brown sediment on top that sealed the fill.

Group 4: Shaft that opens into an underground space. Only one shaft like this was exposed.

  

Many questions arise about the function of these diverse shafts including why were so many of them mined?

 

Examination using the pOSL (portable luminescence method), showed that some of the shafts were used for a long time, and some were probably used for a short time, or not at all. From this, it can be assumed that the large number of shafts may be the result of trial-and-error style probing.

 

The pits which contained sand and rock fragments (group 3) had a section with a wide niche in the lower third and a thin clay layer. This suggests that these shafts served as water wells for the site inhabitants, which raises a further question: why was it necessary to dig wells along the Ayalon River? 

 

This will be discussed in the presentation

How to cite: Ackermann, O., van den Brink, E. C. M., Jakoel, E., Anker, Y., Roskin, J., and Asscher, Y.: The Secret of the Chalcolithic Shafts: Insights from the Portable Luminescence Method (pOSL), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6188, https://doi.org/10.5194/egusphere-egu22-6188, 2022.

Agricultural terraces are a well-known phenomenon in mountainous regions throughout the globe. Those structures are said to have been in the service of agriculture for several hundred or several thousand years. In different places and environments, terraces had different roles. It has been claimed that its primary goal in the sub-humid and semi-arid environments, was to preserve winter precipitation water within the terrace body. Endemic and domesticated vegetation will then flourish utilizing this resource throughout the dry summer season. Agricultural terraces are widely described in the literature as having three main parts, (a) the base, which is normally a naturally inclined bedrock surface, (b) a manmade retaining wall supporting the weight of (c) the terrace body, usually made of soil and gravel. The terrace base is described in all reviewed literature as an impermeable rock layer. However, previously published calculations suggested that in the sub-humid main mountain ridge of Israel, evapotranspiration will prevent retaining water even in a thick terrace body for the entire summer period. Moreover, in many terraces scattered across the given area, a few centimeters thick soil body seems to support decades and centuries old trees. Therefore, water retention mechanism in the agricultural terraces has been examined. Our study indicate that karst substratum is the controlling factor on terrace water retention. We propose that a well-developed, soil filled, karst system at the terrace substratum impedes the conventional evaporation process of a simple homogeneous soil parcel. Under such conditions, thin body terraces are able to support non-irrigated ancient agriculture water demand in sub-humid environment.

How to cite: Inbar, N. and Ackermann, O.: The role of karstic substratum of ancient mountainous agricultural terraces at the semi-arid environment, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6196, https://doi.org/10.5194/egusphere-egu22-6196, 2022.

EGU22-7137 | Presentations | SSS3.2

A Model Approach Assessing The Soil Properties Of Raised Bed Landscapes 

Simran Sekhri, Thomas Raab, and Patrick Joseph Drohan

Common anthropogenic surface features across Scotland and Ireland are raised beds, which are agronomic ridges and furrows created prior to the 20th century to improve agricultural yield. Creating a raised bed improves yield by providing to the root zone better soil drainage, suitable micro-climatic conditions, and enrichment of organic matter and nutrients. Raised beds are structurally identifiable and can be examined using remote sensing techniques such as LIDAR imagery or aerial photography to analyze different dimensions of raised bed units. We examined the geomorphic parameters (height, length, breadth, ridge shape, furrow depth, unit orientation and block size) of raised beds found in the Fancroft region of County Offlay, Ireland. We developed a model of raised bed structural components and the distribution and change in soil properties including soil drainage, texture, horizon differentiation, soil colour, nutrient distribution, organic matter movement and the carbon influx and outflow have been provided. Our study aims to elucidate the typical geomorphic properties of raised bed landscapes, their basic chemical and physical soil properties and the landform attributes that may influence soil properties. Overall, the conceptual basis of raised bed landscapes have been visualised and presented to formulate an ideal raised bed theoretical model. Such a comprehensive model can be further extended to learn more about ancient agricultural practices, heritage, a causal link between present day and historical farming practices.

How to cite: Sekhri, S., Raab, T., and Drohan, P. J.: A Model Approach Assessing The Soil Properties Of Raised Bed Landscapes, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7137, https://doi.org/10.5194/egusphere-egu22-7137, 2022.

EGU22-7509 | Presentations | SSS3.2

Buried palaeosols in Tuscan inland basins provide clues to changing climate conditions across the Pliocene 

Anna Andreetta, Marco Benvenuti, Antonio Delgado-Huertas, and Stefano Carnicelli

Although Pliocene palaeosols can supply palaeoclimate information and help to disentangle stratigraphic reconstructions, soils are sparsely represented in global datasets for Pliocene climate. Pliocene was characterised by global mean annual temperatures 2–4 °C warmer than today, representing an analogue for future climate prevision. We aimed, thus, to investigate palaeosols as suitable archives for reconstructing geomorphic processes, ecosystems and climate patterns in the Pliocene.

We compared the palaeosol record stored in Zanclean and Piacenzian successions locate in central and southern Tuscany, respectively. Palaeosol morphological features observed in the field were used for the sequence-stratigraphic interpretation. To qualitatively evaluate soil development, we considered the time needed to attain various soil properties. Pedogenetic processes and the intensity of weathering were also quantified by applying a range of proxies based on geochemical analyses. Climofunctions based on major element ratios were used to estimate mean annual palaeoprecipitation (MAP). Carbon and oxygen isotopes analysis were performed on carbonate nodules, to verify their pedogenic origin and as a proxy for palaeovegetation and palaeotemperatures.

Though all soils are unconformities in the record, the rank and type of unconformity were defined in detail, to precisely place the soil formation time within the sedimentary sequence and to correlate soil-forming intervals with general environmental changes. Then, soil characteristics were interpreted, considering the geomorphological setting reconstructed by the stratigraphic and sedimentological analysis.

The Zanclean-age soils represent a presumably long-time span, likely a few thousand years, and exhibit strong redoximorphic features such as low-grade plinthite, suggesting that they developed in intervals of humid climate. The mid Piacenzian-age soils represent rhythmic and short intervals of pedogenesis, which correlate to sea level highstands. The main characteristics of palaeosols are due to clay shrink-swell properties (vertic) and carbonate translocation (calcic). Calcic features were interpreted as recording the duration of pedogenesis and thus of the sedimentary hiatuses, suggesting a range of development from 1,000 to 10,000 years. These soil features and the isotopic proxies converge towards indicating a highly seasonal rainfall pattern. This inference matches the sedimentological facies, which point to sediment transport and deposition from highly laden flood flows, recalling the sedimentary dynamics of seasonal fluvial systems. The hypothesis of a very high degree of rainfall seasonality would match well with existing palaeoclimatic records for the Mediterranean Middle Pliocene Warm Period (MPWP), and could shed light on certain unusual features in such records.

Comparing soils developed in the Early and in the Late Pliocene, the MAP estimates confirm the differences in climate condition which likely led to the divergent pedogenesis pathways. Furthermore, the palaeotemperatures estimated from the oxygen isotopic composition of pedogenic carbonates within Piacenzian calcic horizons, point to values matching the modelled temperatures for the MPWP.

How to cite: Andreetta, A., Benvenuti, M., Delgado-Huertas, A., and Carnicelli, S.: Buried palaeosols in Tuscan inland basins provide clues to changing climate conditions across the Pliocene, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7509, https://doi.org/10.5194/egusphere-egu22-7509, 2022.

EGU22-7978 | Presentations | SSS3.2

Drought sensitivity of Pinus sylvestris L. on century old charcoal rich Technosols in the North-German Lowland 

Md Asif Al Jobayer, Katharina Bloß, Christopher Porsch, Ernst van der Maarten, Marieke van der Maaten-Theunissen, Alexander Bonhage, Alexandra Raab, Anna Schneider, and Thomas Raab

Soils on relict charcoal hearths (RCHs), i.e. aged charcoal rich Technosols, feature documented legacy effects regarding their physical and chemical soil properties. These forest soils result from the pre-/early-industrial production of charcoal in upright standing hearths. Today, RCHs are found in forested areas as circular microrelief structures with average diameters of about 10 meters that contain technogenic soil horizons of about 20 cm thickness. RCH soils are most distinctly characterized by their large content of pyrogenic soil organic matter and consequently increased total carbon contents. The resulting changes in the soils’ cation exchange capacity, soil acidity, total nitrogen contents and total element stocks are often significant. Furthermore, changes in soil physical properties like a lower bulk density and a higher porosity result in changed soil-water- and temperature regimes. Combined, these effects potentially result in unique soil microhabitats that are restricted to relatively small, clearly defined areas in many forest ecosystems.

Recent studies on RCH soils increasingly focus on potential changes in microbiological and vegetational composition and abundances and report diverse effects. Here, we study the effects of century old charcoal rich Technosols on the drought sensitivity of Scots pine (Pinus sylvestris L.) on three RCH sites located in Lower Lusatia, Saxony (Germany). Through dendrochronologial analysis of increment cores and historical climate data, we study climate-growth relationships for trees on RCH soils and reference forest soils for two periods (AD 1963-1992 & AD 1990-2019). Furthermore, we determine pointer years and components of resilience to quantify the trees’ reaction to extreme weather conditions. This analysis was accompanied by soil sampling and analysis on the RCH sites and adjacent reference forest soils. Here, we present preliminary results and discuss them in the context of findings from other studies on RCH soils.

How to cite: Al Jobayer, M. A., Bloß, K., Porsch, C., van der Maarten, E., van der Maaten-Theunissen, M., Bonhage, A., Raab, A., Schneider, A., and Raab, T.: Drought sensitivity of Pinus sylvestris L. on century old charcoal rich Technosols in the North-German Lowland, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7978, https://doi.org/10.5194/egusphere-egu22-7978, 2022.

The Spatiotemporal Variations of Provenance in the Chinese Loess Plateau by the Sensitivity of Quartz Optical Stimulated Luminescence

Jiao Li1,*

1,*Department of Geology, Northwest University, Xi’an710069, China

E-mail: 1,*nwu_lijiao@163.com

Loess contains a lot of quartz, which is stable in nature and is not easy to be weathered and transformed. It can retain the original rock information, and the response of quartz crystals to radiation energy is obvious. Thus, optical stimulated luminescence (OSL) sensitivity can identify provenance. The magnetic susceptibility reflects the strength of the summer monsoon, and the grain size is a proxy for the winter monsoon. The magnetic susceptibility and grain size have been widely used in the study of Chinese loess as proxy indicators of the East Asian monsoon.

By studying the change of quartz optical stimulated luminescence sensitivity of loess-paleosol in the Xifeng section of the Chinese Loess Plateau, combined with the related work from others in the Chinese Loess Plateau, the provenance changes of the Chinese Loess Plateau in the time-space sequence were analyzed. In the time series, the sensitivity of quartz OSL showed a high value in paleosol, and the highest value was about 2700 counts/Gy/mg. Meanwhile, it exhibited a low value in loess, and the lowest value was about 200 counts/Gy/mg, which is different from paleosol. In the spatial sequence, the OSL sensitivity of quartz from west to east in the Chinese Loess Plateau has a large difference (8-10 times) in the interglacial (paleosol), and a small difference (1-2 times) in the glacial (loess). The sensitivity of quartz OSL preliminarily indicates that the provenance of the Chinese Loess Plateau has changed in time series (loess-paleosol). Moreover, in space sequence (among different profiles), the sensitivity of quartz OSL has changed in paleosol during the interglacial, but has a minor difference in the loess during glacial.

At the same time, combined with the study of magnetic susceptibility and grain size, the quartz OSL sensitivity corresponds well to the fluctuation of the climate proxy index, which shows that the quartz OSL sensitivity is positively correlated with the magnetic susceptibility and negatively correlated with the particle size. The OSL sensitivity and magnetic susceptibility of quartz were higher in the paleosol and lower in the loess; the variation of grain size was the opposite.

 

Keywords: quartz, optically stimulated luminescence sensitivity, loess provenance, glacial-interglacial, Chinese Loess Plateau

 

How to cite: Li, J.: The Spatiotemporal Variations of Provenance in the Chinese Loess Plateau by the Sensitivity of Quartz Optical Stimulated Luminescence, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9072, https://doi.org/10.5194/egusphere-egu22-9072, 2022.

Quantification of geomorphic processes governing development and long-term stability of vesicular A (Av) horizons in deserts is critical to understanding desert soil genesis and evaluating stability of desert surfaces. Previous attempts to date Av horizons have yielded Holocene ages that are discordant with underlying soil ages, leading some investigators to interpret Av horizons as recently formed features. In contrast, systematic increases in the expression of Av horizon development have been identified from studies that examine trends in soil morphology on Quaternary timescales. This study uses meteoric 10Be (10Bemet) as a radiometric tracer in the soil to (1) test the hypothesis that Av horizons are long-lived features in low-relief desert landscapes, and (2) enable improvement of dating techniques applicable to desert soils.

Meteoric 10Be concentrations were examined for selected soils within a chronosequence from the Mojave Desert, Southern California, USA. The pedons selected for analysis are from an alluvial fan sequence composed of mixed plutonic parent materials sourced from the adjacent Providence Mountains. Samples for 10Bemet analysis were collected from Av and underlying B horizons of three pedons of varying soil age and from an active alluvial channel to evaluate relationships between 10Bemet concentrations and soil exposure time. Additionally, two separate peds from the Av horizon of a single pedon were subsampled to evaluate the relative concentrations in four zones within individual Av peds, including the surface, bottom, sides, and interior.

Meteoric 10Be concentrations from Av horizons range from 6.95x106 at/g (active channel) to 1.09x109 at/g (oldest) and exhibit a systematic increase in 10Bemet concentration with increasing soil age. Similarly, samples obtained from underlying B horizons in Holocene to Pleistocene soils have 10Bemet concentrations of 1.34x108 at/g (youngest) to 9.40x108 at/g (oldest). The subsampled Av pedons show apparent physical fractionation of 10Bemet, primarily towards ped interiors, which contain 1.01x109 to 1.09x109 at/g 10Bemet. The remainder of the ped exhibits a comparative reduction in 10Betmet concentrations by 12-38%. This trend is similar to carbonate and clay-particle trends that also tend to fractionation in Av ped interiors, indicating a greater proportion of moisture content in these zones relative to exterior ped surfaces.

Our preliminary observations strongly support the hypothesis that Av horizons are persistent and stable features in the landscape, contrary to prior studies that attempt to explain universally young Av ages using arguments that favor Av destruction and reformation in response to climate dynamics during and after the Pleistocene-Holocene transition. Our results have several major implications. First, Av horizons strongly influence the flux of water into the soil profile, thereby governing hydrologic, biologic, and pedogenic processes at and below the soil surface. This study will enable detailed investigation of the rates associated with primary moisture and sediment movement in desert soils. Second, our methodologies provide a technique that can be further developed to directly date Av soil horizons independent from the underlying sediment. Finally, our findings have the potential to inform the hydro-pedologic connectivity between Av horizons and underlying soil materials to enable a better understanding of soil genesis in arid environments.

How to cite: Sion, B., McDonald, E., Bustarde, J., and Hidy, A.: Meteoric 10Be analysis from a soil chronosequence in the Mojave Desert, USA reveals the long-term stability of Av horizons and potential avenues for future research, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9963, https://doi.org/10.5194/egusphere-egu22-9963, 2022.

EGU22-9973 | Presentations | SSS3.2

Role of Anthrosols and Anthrosediments in the Early Islamic Plot-and-Berm Agroecosystem by Ancient Caesarea 

Adam Ostrowski, Itamar Taxel, Revital Bookman, Lotem Robins, and Joel Roskin

Plot-and-Berm agroecosystems agriculturally utilized marginal lands in a sophisticated fashion, where a high-water table existed within loose, aeolian sand sheets, in semi-arid to Mediterranean climates. The agroecosystems consist of polygonal (~104 m2) agricultural plots sunken between ~5 m high berms. Here we focus on the role of sandy anthrosediments and anthrosols, based on analyzing stratigraphic sections in remains of a Plot-and-Berm agroecosystem, 2 km south of ancient Caesarea (Israel). Geoarchaeological methods included pedological analysis, penetrometer measurements, GIS-based mapping, and portable luminescence (PPSL) and OSL for the analysis of construction and possibly maintenance stages.

Ceramics and glass date the agroecosystem to the 10th-11th centuries (Early Islamic period) that are compatible with preliminary published OSL ages. Preliminary finds hint to a sand substrate mixed during Roman times. Anthrosols in the plots have distinct upper and lower boundaries with limited root casts suggesting that the Early Islamic crops were annual and not woody perennial species like vines. The anthrosol is currently only 1 m above the modern groundwater table, which appears to have enabled easy access by hand-dug pits for manual irrigation practices per plot. Their topographic setting probably provided protection of the soil and crops from aeolian erosion.

The anthrosols and anthrosediments have geochemical and textural properties that appear to reflect their role. Anthrosols were enriched to enhance soil productivity. Berm crests and slopes were coated with ~0.3-0.7 m thick and dark anthrosediments that were topped with flat pebble to cobble size artifacts. This coupling remarkably preserved the berm morphology and the whole agroecosystem from aeolian and fluvial erosion until modern times. Light grey anthrosediments comprised the internal berm fill. Additional results will help assess the social-economic effort needed to develop and maintain this agroecosystem, and its relation to ancient Caesarea.

How to cite: Ostrowski, A., Taxel, I., Bookman, R., Robins, L., and Roskin, J.: Role of Anthrosols and Anthrosediments in the Early Islamic Plot-and-Berm Agroecosystem by Ancient Caesarea, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9973, https://doi.org/10.5194/egusphere-egu22-9973, 2022.

EGU22-10315 | Presentations | SSS3.2

USA Appalachian relict charcoal hearths have complex landscape and pedologic patterns that are unique from surrounding forest ecosystems 

Patrick Drohan, Samuel Bayuzick, Daniel Guarin, Thomas Raab, Alexander Bonhage, Duane Diefenbach, and Marc McDill

Understanding how present-day abrupt change may alter forest ecosystem services is becoming more important due to ever-growing anthropogenic stresses. Forest managers trying the adapt to anthropogenic stress can benefit from the study and quantification of past abrupt changes in forests, especially when the legacy of past disturbance is still evident. Across the United Kingdom, Europe, and recently the northeastern United States, the examination of historic forest change due to charcoal manufacturing for the firing of iron or lime furnaces is yielding new insights relative to landscape stability, anthropogenic vs natural soil genesis, and forest evolution. 

A landscape classification process was used in the Central Appalachians (Pennsylvania) to identify 6,758 RCHs near Greenwood Furnace (Greenwood Furnace State Park) and Pine Grove Furnace (Pine Grove Furnace State Park). Topographic wetness index (TWI), and SAGA wetness index (SWI) were created using ~1m LiDAR data for two study areas to quantify surface hydrology effects and were compared to field soil volumetric water content (VWC) measurements. Modeled TWI and SWI values were different for RCH areas when compared to surrounding non-hearth areas indicating that RCHs were acting as a moisture sink. We also found that RCH platforms have different TWI and SWI values than rim areas. Using field measured volumetric water content, we found that as distance from the center of the RCH increases, the drier the soil becomes. Geomorphic position did not affect wetness.

Surface soil samples were collected at 51 RCHs in the Greenwood Furnace study area. Laboratory analyses revealed that RCH soils have higher C content than surrounding native soils. Furthermore, while the pH of RCH soils is like native soils, the acidity is greater in RCHs. RCH soils at Greenwood Furnace were found to have lower Mehlich 3 P concentrations and lower K potentially effecting plant growth. RCH soils were found to have higher Ca concentration when compared to native soils.

To examine within RCH differences in soil chemistry and morphology more closely, 8 of the 51 RCHs were sampled intensely along a topographic gradient. Control pits were excavated directly upslope from the RCHs. The RCHs were sampled in 5 positions across the hearth from the upslope to down slope position (A upslope rim of the RCH; B halfway point between A and C; C RCH center; D halfway C and E; E downslope rim of the RCH).  Soil profiles were described and sampled at each position. The soil samples were analyzed for trace and rare earth element content (Aqua Regia digestion), soil pH (water) and fertility (Mehlich 3 extraction).  Results indicated that RCHs are potentially a unique location of refugia for forest flora and perhaps fauna due to the unique geochemistry with higher bases and C and some concentrated metals and a higher soil water content hypothesized to be due to an observed restrictive morphology. Future research should more closely investigate whether RCHs support unique species assemblages and how they may play a role in enhancing today’s forest biodiversity.

How to cite: Drohan, P., Bayuzick, S., Guarin, D., Raab, T., Bonhage, A., Diefenbach, D., and McDill, M.: USA Appalachian relict charcoal hearths have complex landscape and pedologic patterns that are unique from surrounding forest ecosystems, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10315, https://doi.org/10.5194/egusphere-egu22-10315, 2022.

EGU22-11536 | Presentations | SSS3.2

Palaeosol evolution and human disturbance on Mediterranean coastal pedosequences (SW Sardinia, Italy) 

Kathleen Nicoll, Guido Stefano Mariani, and Rita Teresa Mellis

In the southwestern coast of Sardinia coastal sediments preserve evidence of geomorphic processes such as slope, colluviation and pedogenesis, as well as human activities. We present the preliminary results of an integrated approach focused on descriptive and analytical soil investigation together with micromorphological data, geoarchaeological investigations and landscape survey as part of a larger project aimed to characterise the geoheritage of the region. We describe palaeosol sequences related to stratal architectures that date back to the Late Pleistocene. Our goal is to gain information on landscape evolution in the area and the effect of human agency on the larger environment, as well as document hydroclimatic change.

At the current coastline level, the last marine transgression exposed marine sequences dated to the MIS5, later covered by fluvial and slope deposits throughout the last portion of the Late Quaternary. Several soil sequences show traces of recent colluvial events of anthropogenic origin. Such deposits contain pottery and other human made materials related to the Iron/roman age. These initial findings seem to suggest a strong control of human activity on environmental change in the area, not related to a single location but widespread in the landscape. This control was such to cover and take precedence over the natural pre-existing surface dynamics, thereby complicating the definition of Anthropocene in Sardinia. Further investigations would bring more light on the ways palaeosols can inform on the shifts in human land use and occupation. How has land use accelerated since the Bronze age? How can these palaeosequences inform us about anthropogenic processes overstepping natural ongoing surface dynamics?

How to cite: Nicoll, K., Mariani, G. S., and Mellis, R. T.: Palaeosol evolution and human disturbance on Mediterranean coastal pedosequences (SW Sardinia, Italy), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11536, https://doi.org/10.5194/egusphere-egu22-11536, 2022.

EGU22-13221 | Presentations | SSS3.2

Optically stimulated luminescence dating of relic charcoal kilns using sand-sized quartz: a status report 

Nasrin Karimi Moayed, Dimitri Vandenberghe, Jan-Pieter Buylaert, Koen Deforce, Ann-Eline Debeer, Paulina Biernacka, Philippe De Smedt, Wim De Clercq, and Johan De Grave

Charcoal has been produced for centuries, even millenia, in and near forested areas in Europe. The relics are increasingly studied to inform, e.g., on forest composition and woodland exploitation, the effects of biochar on soil properties and plant nutrients, and carbon sequestration. All these studies require a chronological framework, which is most commonly established using radiocarbon (14C) dating. In NW Europe, however, many relic charcoal kilns have been found to post-date 1650 CE. Owing to limitations imposed by the calibration curve for the last few centuries, 14C dating results in wide age probability distributions; this implies that the method does not allow resolving the chronology for post-1650 CE features.

In this study, we report on our experiences with optically stimulated luminescence (OSL) dating as a complementary and alternative method to 14C. The approach uses sand-sized quartz extracted from sediments that were heated during charcoal production. Our study comprises relic charcoal kilns on silty and sandy subsurfaces in Belgium (Sonian and Zoersel forest), The Netherlands (The Veluwe) and France (Grand-Est region). We first demonstrate that OSL dating can yield accurate and precise ages by comparing our results for pre-1650 CE features with independent (14C) age information. Intricacies, possibilities and limitations are discussed. For most of the features, widely adopted OSL procedures can be applied; for one of the study areas (Zoersel forest, in the northern Belgian sand belt), dedicated analysis using single grains of quartz is the method of choice. We then apply our methodology to post-1650 CE features, for which 14C dates and or historical information is available. We show that, for the majority of the investigated features, accurate OSL ages can be obtained with a precision that is similar or significantly better compared to independent age information. A considerable added value is the potential of OSL dating to distinguish between multiple features at one or comparable sites with an unprecendented time-resolution of 5 - 40 years (and 95.4% probability).  

 

 Keywords: OSL dating; radiocarbon dating; relic charcoal kiln; Modern age; natural resources.

How to cite: Karimi Moayed, N., Vandenberghe, D., Buylaert, J.-P., Deforce, K., Debeer, A.-E., Biernacka, P., De Smedt, P., De Clercq, W., and De Grave, J.: Optically stimulated luminescence dating of relic charcoal kilns using sand-sized quartz: a status report, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13221, https://doi.org/10.5194/egusphere-egu22-13221, 2022.

Developing more sustainable agricultural systems represents a challenge and urgent global venture. A sustained collaboration among researchers from diverse fields, policymakers, and the public at large is necessary to deal with this complex global emergency. Landscape archaeology can actively contribute to this movement by exploring the interactions of social and environmental systems over long periods of time and generating insights for potential future applications. Environmental sustainability and historic landscape conservation are typically treated as two separate fields. Still, this research proposes a new way to embrace cultural and natural values as components of the same landscape management plans.
Over the long term, rural activities have given rise to a wide variety of historic landscapes. Historic Landscape Characterisation (HLC) uses a qualitative but formalised method to map historic landscapes' chronological and spatial complexity. Each HLC study uses GIS to map 'historic landscape character types' (HLC types) based on distinctive characteristics which result from known historical processes. Meanwhile, in environmental studies, the diachronic land-use-land cover (LULC) analysis has helped illustrate how different anthropogenic activities have altered the soil erosion rate in specific areas. Modelling can provide a quantitative and consistent approach to estimating soil erosion under a wide range of conditions. GIS integration with the RUSLE (Revisited Universal Soil Loss Equation) model has been applied to estimate soil loss at a regional scale. It has resulted in implementing soil management and conservation practices to reduce soil erosion in fragile ecosystems. In previous HLC studies, LULC has been evaluated from the perspective of cultural heritage. In contrast, RUSLE modellers have used it as a proxy for the LULC of an area (i.e. absence or presence of tree canopy) and its effect on soil erosion. 
This study proposes an innovative methodology that combines both the historical/cultural and the environmental values of LULC to inform the development of a model to evaluate the increasing/decreasing soil erosion rate. From a cultural heritage point of view, the diachronic analysis of historical features (mapped as HLC types) informs understanding of the LULC, which characterised a landscape. At the same time, these features had an impact on local soil erosion rates. In this study, the HLC types have been employed to define the C and P factors, the two most challenging factors to be determined in the RUSLE equation. In literature, the C factor is usually derived from automatic satellite detection (e.g. CORINE), resulting in a low detailed characterisation of the LULC types, especially in the case of local agricultural activities. Conversely, the P factor is often taken equal to 1 because of the lack of geospatial data about the conservative practices adopted regionally (e.g. occurrence of terraced systems, hedgerows or contour ploughing). 
The methodology proposed has been tested in the Tuscan - Emilian Apennines historical landscape (Vetto - Italy) with the aims to assess: i) how the changes in the LULC in the past 70 years impacted the soil erosion rate, and ii) which HLC types perform better in term of soil erosion mitigation.

How to cite: Brandolini, F. and Turner, S.: A landscape archaeological approach to estimate the cover-management and conservation practice factors for RUSLE models., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-83, https://doi.org/10.5194/egusphere-egu22-83, 2022.

EGU22-580 | Presentations | GM12.1

Agricultural terraces in the Mediterranean: a multidisciplinary approach to understanding human-landscape interactions 

Aayush Srivastava, Tim Kinnaird, Sam Turner, Chris Sevara, Justin Holcomb, Stelios Lekakis, and Lisa-Marie Shillito

Agricultural terraces, which demonstrate an ingenious and sustainable way of transforming hilly slopes into arable land, are widespread in Mediterranean landscapes, stretching from southern Portugal to the Judean Highlands. Despite their ecological and heritage values, there remain significant temporal and spatial gaps in understanding their histories, how they were constructed and what their socio-economic implications were for early populations. This lack of knowledge further restricts understanding the effects of terracing on landscape in terms of mitigating the impacts of past climate change and informing sustainable strategies for the future of land-management. 

To this end, we employed a multidisciplinary approach to a case study in Naxos, Greece. A GIS-based technique which uses a range of cartographic remote sensing data was employed to identify over 20 terrace sites, and trenches were hand-dug and placed in a relative chronological sequence using a portable optically stimulated luminescence (OSL) dating reader and gamma spectrometer. Samples were then collected for absolute OSL dating, micromorphology and x-ray fluorescence (XRF) analyses. Trench profiles were documented using high-resolution image-based modelling for accurate sample location and volumetric reconstruction of soil layers, and historic and modern aerial spaceborne data were used together with sample results to create models of terrace systems for spatiotemporal analyses. 

The results of this multidisciplinary approach adopted here have produced evidence of large-scale land-use in periods for which no other evidence indicative of landscape exploitation survives. A chronological framework based on over 25 OSL ages suggests terrace construction in Naxos between ~400 BC and the 16th century AD with intensification during the Medieval Greek period. Applications of soil micromorphology and XRF analyses identify key evidence of natural soil development and past land use including irrigation, soil mixing, crop residues and anthropogenic fertilisers. Modelling of terrace system development indicate their value as long-term resilient, adaptable agricultural and environmental features: where terrace systems have been maintained, reused, or abandoned under vegetation landscapes appear to maintain greater stability, retaining valuable soils and habitats compared to areas where terrace systems have been affected by overgrazing or consolidated by mechanical means. We conclude that our multidisciplinary approach has concomitant implications for the future sustainability and biodiversity of Mediterranean landscapes and beyond. 

How to cite: Srivastava, A., Kinnaird, T., Turner, S., Sevara, C., Holcomb, J., Lekakis, S., and Shillito, L.-M.: Agricultural terraces in the Mediterranean: a multidisciplinary approach to understanding human-landscape interactions, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-580, https://doi.org/10.5194/egusphere-egu22-580, 2022.

EGU22-1436 | Presentations | GM12.1

The Sacred Waterscape of Ancient Egyptian Temples - The Example of the Temple of Bastet at Bubastis, Nile Delta (Egypt) 

Julia Meister, Philipp Garbe, Julian Trappe, Tobias Ullmann, Ashraf Es-Senussi, Roland Baumhauer, Eva Lange-Athinodorou, and Amr Abd El-Raouf

The temple areas in ancient Egypt were most sacred and characterized by a multitude of elements that emphasized their importance and enabled daily cultic activities. Very specific and important features of such temples were sacred water canals or lakes, the so-called Isheru, which provided water for all kinds of purification rites and activities. In addition to textual records, preliminary sedimentological analyses of core drillings and geophysical surveys provided geoarchaeological evidence of a sacred water body at the Temple of Bastet in the ancient city of Bubastis. To further explore the location, shape, or course of the already detected canal and to find evidence on the existence of a second waterway described by Herodotus in the 5th century BCE, 34 drillings and five 2D geoelectrical measurements were carried. Drilling and sediment analyses revealed loamy to clayey deposits with a thickness of up to five meters near the northern and southern enclosures of the Temple of Bastet. 2D electrical surveying confirmed the drilling results, indicating trench-formed layers of low resistivity values. The recovered deposits were interpreted as fluvial sediments, most likely deposited in a very low energy system, e.g. a canal or lake. Evidence of these fluvial sediments in numerous boreholes allows the reconstruction of two separate sacred canals both north and south of the Temple of Bastet. In addition to the course, the width of the canals of about 30 m can also be confirmed according to Herodotus' writings. The presence of numerous artefacts in the fluvial deposits, such as ceramic and limestone fragments, proves the anthropogenic use of the ancient canals. Presumably, these waterways were connected to the Nile via a tributary or canal located west or northwest of Bubastis.

How to cite: Meister, J., Garbe, P., Trappe, J., Ullmann, T., Es-Senussi, A., Baumhauer, R., Lange-Athinodorou, E., and Abd El-Raouf, A.: The Sacred Waterscape of Ancient Egyptian Temples - The Example of the Temple of Bastet at Bubastis, Nile Delta (Egypt), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1436, https://doi.org/10.5194/egusphere-egu22-1436, 2022.

Stone mounds and water conduits dating from the Nabatean, Roman and Byzantine periods (4th century B.C. to 7th century A.D.) can be found on hillslopes over large areas in the Negev Desert, as well as in other parts of the Middle East and North Africa.

Based on results from field and laboratory experiments it is suggested that the ancient farmers were very efficient in harvesting water; they took into consideration the size and position of the stones when clearing the hillslope surface in order to increase the overland flow yield.

A comparison of the volume of stones in the mounds to the volume of surface stones from the surrounding areas indicates that the ancient farmers removed only stones that had been rested on top of the soil surface and left the embedded stones untouched. According to the results of simulated rainfall experiments, this selective removal of stones increased the volume of overland flow generation by almost 250%, for small rainfall events, compared to natural untreated soil surfaces. In addition, they realized that installing closely spaced conduits running in parallel along the hillslope would increase the trapping efficiency of overland flow on its way downslope.

This means that the ancient farmers have been well aware of the mechanisms of overland flow generation on stony soils and of overland flow dis-continuity on arid hillslopes.

How to cite: Lavee, H.: Water harvesting by ancient farmers in the Negev desert, Israel: Overland flow generation and continuity considerations, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3091, https://doi.org/10.5194/egusphere-egu22-3091, 2022.

EGU22-3896 | Presentations | GM12.1

Historic river floodplain engineering causes channel pattern shift from multiple to single-thread rivers 

Annegret Larsen, Charlotte Engelmann, Alexander Fuelling, Jasper Candel, Hans-Rudolf Bork, and Joshua Redder Larsen

It is well-known that floodplain fine-grained alluvial sedimentation rates have been increasing due to human impact. In most catchments, the onset or acceleration of floodplain deposition is dated to medieval times, which has been attributed to increased hillslope soil erosion due to high population densities causing deforestation and slope instability. The also increasing river sediment load has then changed rivers into a single-thread, meandering channel pattern, which is now considered to be the ultima ratio in river restoration. In this presentation, we challenge this view and argue that current channel pattern and shape are related to historic channel engineering, and are hence not the product of fluvial processes associated with a meandering, or avulsing single-thread river system. Here, we present a study from a mountainous region in central Europe (Germany), in which we reconstruct the natural, pre-medieval channel pattern of two low order streams (3rd and 4th Strahler order), and their transition into the current, single-thread channel pattern which is characterised by meanders. This study is based upon a multi-proxy analysis of the chrono-stratigraphy, cross-valley ground penetrating radar, river surveying, analysis of historic maps, and hydrological data for channel pattern prediction. Finally, based on our analysis, we suggest that currently observed channel widening processes and island formation likely represent a tendency of the studied streams to re-create a braided channel pattern, which should be embraced by river management instead of forcing streams into a meandering pattern, as multi-thread, braiding channels are the most natural condition for these streams,  producing a sustainable and resilient river ecosystem.  

How to cite: Larsen, A., Engelmann, C., Fuelling, A., Candel, J., Bork, H.-R., and Larsen, J. R.: Historic river floodplain engineering causes channel pattern shift from multiple to single-thread rivers, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3896, https://doi.org/10.5194/egusphere-egu22-3896, 2022.

EGU22-4794 | Presentations | GM12.1

Upper Pleistocene sea level changes and human peopling at the northern margin of the Mediterranean Sea: the S-P-Heritage Project 

Andrea Zerboni, Irene M. Bollati, Luca Forti, Silvia Gazzo, Abdelkader Moussous, Giovanni Muttoni, Fabio Negrino, Olivier Notter, Manuela Pelfini, Alessandro Perego, Serena Perini, Luca Ragaini, Eleonora Regattieri, Elena Rossoni-Notter, Alessio Rovere, Deirdre Ryan, Marco Serradimigni, Elisabetta Starnini, Matteo Vacchi, and Marta Pappalardo

Since the Pleistocene, the Mediterranean is a hot spot for climate change and human migrations, thus offering the opportunity to investigate how human populations have responded to environmental changes and sea level variations. This is the main topic of the SPHeritage Project (MUR grant: FIRS2019_00040, P.I.: M. Pappalardo) that proposes an interdisciplinary approach to investigate the human-environment interaction (in particular sea level variations) over the last 400,000 years using a combination of micro-invasive methods. The Project is re-investigating the well-known archaeological area of ​​the Balzi Rossi (Ventimiglia, at the border between Italy and France), which represents a unique assemblage of archaeological sites dating to the Palaeolithic, distributed in a geomorphological setting rich of markers of past sea level changes. As most of the local archaeological sequences have been extensively investigated at the beginning of the last century and large part of the deposits removed, we will combine the analyses of materials preserved in museums (including strips of sediments) and the remnants still preserved inside many rockshelters and caves of the archaeological complex. Moreover, our geomorphological survey identified new sedimentary sequences preserving information on relative sea level changes. This approach will permit to obtain innovative data submitting small samples to state-of-the-art methods for dating and palaeoenvironmental reconstruction, thus offering the opportunity to better constrain the time and steps of climate change, sea level oscillations, and human settlements. Moreover, data will converge into geoheritage analyses aimed at finding the best practices for promoting and protecting the site. Here, we present an overview of the project and preliminary results from some of the major archaeological sites.

How to cite: Zerboni, A., Bollati, I. M., Forti, L., Gazzo, S., Moussous, A., Muttoni, G., Negrino, F., Notter, O., Pelfini, M., Perego, A., Perini, S., Ragaini, L., Regattieri, E., Rossoni-Notter, E., Rovere, A., Ryan, D., Serradimigni, M., Starnini, E., Vacchi, M., and Pappalardo, M.: Upper Pleistocene sea level changes and human peopling at the northern margin of the Mediterranean Sea: the S-P-Heritage Project, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4794, https://doi.org/10.5194/egusphere-egu22-4794, 2022.

EGU22-4961 | Presentations | GM12.1

Geomorphometric analysis for the hinterland of the roman sites Chimtou and Bulla Regia (Central Medjerda Valley), North Tunisia 

Julia Pagels, Wiebke Bebermeier, and Philipp von Rummel

The intra-mountain Medjerda Valley is located in North Tunisia and is characterized by its namesake the Oued Medjerda. The Valley has been settled since at least the latest Paleolithic period. Archaeologists from the German Archaeological Institute (DAI) have been studying the region since 1965, concentrating on Roman settlements. Since January 2021 the joint research project “Conquest, Ecology and Economy in Islamic North Africa: The Example of the Central Medjerda Valley” focuses on the subsequent Islamic settlement of the middle Medjerda Valley between Late Antiquity and the Early Medieval Period. The overall project aims to understand the economic and social transformations of the region triggered by the Muslim conquests and subsequent regime changes.

As part of this project, we want to focus on sediment archives in the immediate hinterland of the archaeological sites Chimtou and Bulla Regia, which are located in the central Medjerda Valley. We want to increase our knowledge on local changes in environmental conditions to establish a knowledge base on how economic and social change of the region affects the landscape balance and sediment fluxes.

In this presentation we will present a morphometric analysis of the study area: a GIS-based classification of landforms by applying the algorithm Geomorphons and results from a soil erosion model (USPED). Our results show that combing both methods allows us to derive information on landscape sensitivity, increases our process understanding and supports identify areas of erosion and deposition. Although we currently do not have the opportunity to go into the field, we here introduce a methodological framework, which allows a first geomorphological characterization of a study area – nevertheless, ground checking will be a task for future field work.

How to cite: Pagels, J., Bebermeier, W., and von Rummel, P.: Geomorphometric analysis for the hinterland of the roman sites Chimtou and Bulla Regia (Central Medjerda Valley), North Tunisia, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4961, https://doi.org/10.5194/egusphere-egu22-4961, 2022.

EGU22-6021 | Presentations | GM12.1

Unraveling archaeological settlement, landscape, and resource use patterns with machine learning in Kurdistan (Iraq) 

Mathias Bellat, Benjamin Glissmann, Tobias Rentschler, Karsten Schmidt, Paola Sconzo, Peter Pfälzner, and Thomas Scholten

       The traditional view on Mesopotamian resources strategies is understood as “resource hunting” in which Mesopotamian empires would have spread to neighbouring regions (Zagros, Taurus, Levant…) to monopolize their resources. Indeed, Mesopotamia lacks some resources/raw materials such as copper, iron, wood, obsidian, and others. Our RessourceCultures approachdeveloped in SFB 1070, aims to define resources in a wider spectrum, to propose new interpretations on cultures development in this region. By investigating new patterns rules of resources appropriation and uses in peripheral areas, we hope to bring interesting new results. Our survey covered an area of 4.400 km2 from the western foothills of the Zagros mountains to the eastern riverbank of the Tigris. 

 

      To unravel the patterns that define a ResourceCulture we combine both archaeological and geoarchaeological data into a machine learning approach. Many features (topography, water, soil type, resources availability, climate…) influence the founding and location of settlements in different ways and degrees of importance. The trend of these influences can be analyzed through machine learning models in predictive archaeology. Letting the machine run predictive models and underline the relationship between each feature and settlement dynamic will potentially help us to better understand how resources were used in a cultural and economic context through time and space.     

 

           Our poster will present the first ideas derived from the machine learning approach: Is there any trends appearing and what can we say from them? Can we redefine the ResourceCulture in Northern Mesopotamia through these new interpretations? 

How to cite: Bellat, M., Glissmann, B., Rentschler, T., Schmidt, K., Sconzo, P., Pfälzner, P., and Scholten, T.: Unraveling archaeological settlement, landscape, and resource use patterns with machine learning in Kurdistan (Iraq), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6021, https://doi.org/10.5194/egusphere-egu22-6021, 2022.

EGU22-7189 | Presentations | GM12.1

Human-environmental interaction possibilities at the Neanderthals’ northern edge: focus on last interglacial and early last glacial 

Emil Schou Nielsen, Trine Kellberg Nielsen, and Søren Munch Kristiansen

Neanderthals are believed to have been adapted to cold climate conditions, nevertheless Neanderthal findings in the north and northeast European region are scares, non-existing or at least speculative. In between periods of arctic and subarctic conditions, warm periods like the Eemian interglacial would have offered mild living conditions in present-day southern Scandinavia and have evidently allowed migration of prey species to the region. We therefore suggest that the apparent absence of Neanderthals in the geological record here is partly steered by poor conditions of conservation, lack of in situ archives and lack of focused investigation, rather than a limit of the Neanderthal habitat per se. In this paper we seek to identify potential hotspots for Neanderthal activity in the geological record. We do this by mapping the paleolandscape from all available data sources and by 3D paleolandscape modelling, to identify potential Neanderthal living sites such as lake beaches, seashores and floodplains, where there would be easy access to water, prey and open habitat. Among the possible candidate sites, we will investigate by means of coring, whether the shores from Eemian lakes offer good conditions for preservation of potential find layers, as they might have a low degree of disturbance and in rare cases can offer in situ burial and conservation of interglacial fossils, archaeological material and sedimentary climate archives.

How to cite: Nielsen, E. S., Nielsen, T. K., and Kristiansen, S. M.: Human-environmental interaction possibilities at the Neanderthals’ northern edge: focus on last interglacial and early last glacial, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7189, https://doi.org/10.5194/egusphere-egu22-7189, 2022.

EGU22-7996 | Presentations | GM12.1 | Highlight

The Anthropocene Geoarchaeology of the Yellow River  

Michael Storozum

China’s Yellow River, which gains its name from the extraordinary amount of yellow-brown silt it entrains, was not always so yellow. Current historical and geological evidence suggest that the Yellow River experienced several periods of human-induced transformation that have not only changed the color of the Yellow River’s water, but also fundamentally altered the river’s hydrological properties, specifically by increasing the Yellow River’s propensity for catastrophic floods. In this paper, I argue that the long history of soil erosion and Yellow River floods is a defining characteristic of China’s incipient Anthropocene period and can be understood through the application of geoarchaeological methods and frameworks. Specifically, I focus on how extreme Yellow River flood events at Kaifeng, a former capital of dynastic China, have shaped the city’s urban resilience in the wake of a flood that killed over 300,000 people in AD 1642. Recent geoarchaeological excavations have discovered evidence that reveals the AD 1642 Yellow River flood destroyed Kaifeng’s inner city, entombing the city and its inhabitants within meters of silt and clay. I argue that the geology of the Yellow River floods and the socio-political context of Kaifeng shaped the city’s resilience to extreme flood events. Through this example, the long-term consequences of China’s early Anthropocene are brought out in sharp relief. Flood events like at Kaifeng not only represent significant hydrological shifts in the Yellow River, but also had dramatic social consequences as numerous Yellow River floods have coincided with the collapse major Chinese dynasties. In conclusion, I suggest that a deeper understanding of the origins and long-term development of the Yellow River as a coupled human and natural system is fundamental to designing more sustainable solutions to managing the Yellow River and other large, muddy, rivers around the world.

How to cite: Storozum, M.: The Anthropocene Geoarchaeology of the Yellow River , EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7996, https://doi.org/10.5194/egusphere-egu22-7996, 2022.

EGU22-8894 | Presentations | GM12.1

Holocene silt-clay overbank sedimentation between climate change and human activitiy within the fragile loess-covered Weiße Elster catchment in Central Germany 

Hans von Suchodoletz, Pierre Fütterer, Christoph Zielhofer, Ulrich Veit, Peter Ettel, Lukas Werther, Harald Stäuble, Christian Tinapp, Birgit Schneider, Tobias Sprafke, Ulrike Werban, Helen Ballasus, and Jan Miera

The role of climatic or human forcing for Holocene silt-clay overbank sedimentation in Central Europe has been debated for decades. To date, former studies were often limited by rather low chronological resolutions of the fluvial stratigraphies, and especially by records of human activity in the studied catchments with rather fragmentary spatial and chronological resolutions.

Within the frame of an interdisciplinary geoarchaeological project carried out in the Weiße Elster catchment in Central Germany, using drill cores, geophysical measurements, sedimentological and micromorphological analyses as well as numerical dating along three transects, we build up a highly resolved record of fine-grained fluvial sedimentation along the middle river reach. Complementarily, based on archaeological data stored in local area files of the State Offices of Archaeology as well as on historical and onomastic data, we build up a catchment-wide record of human activity from the Early Neolithic period until the High Middle Ages with a so far unprecedented high spatial and chronological resolution in Central Europe. Comparing these geomorphologic and archeological/historic datasets with highly resolved paleoclimatic records allows a large step forward in understanding the intricate interplay of the Holocene geomorphodynamics with climate changes and human activity with an exceptional spatial and chronological resolution. So far, first results demonstrate a significant impact of climatic events such as the Little Ice Age on river activity that were linked with fine-grained sedimentation also after the start of intensive human activity in the catchment since the Early Neolithic period ca. 7.5 ka.

How to cite: von Suchodoletz, H., Fütterer, P., Zielhofer, C., Veit, U., Ettel, P., Werther, L., Stäuble, H., Tinapp, C., Schneider, B., Sprafke, T., Werban, U., Ballasus, H., and Miera, J.: Holocene silt-clay overbank sedimentation between climate change and human activitiy within the fragile loess-covered Weiße Elster catchment in Central Germany, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8894, https://doi.org/10.5194/egusphere-egu22-8894, 2022.

EGU22-9325 | Presentations | GM12.1

Geodiversity and Geoheritage of sandstone landscape: Cerro Colorado, Córdoba, Argentina 

Gabriella Boretto, Marcela Cioccale, Sandra Gordillo, Claudio Carignano, and Andrea Recalde

The Cerro Colorado Cultural and Natural Reserve is located on the north-eastern slope of the Sierras Pampeanas, Córdoba mountain sector, Argentina (30° 05' S 63° 55' W). This locality is well known for the impressive archaeological legacy recorded in rock art, almost 4200 painted and engraved motifs preserved inside sandstone shelters, made from ca. 400 AD until the arrival of the Spanish conquers in the XVI century. While previous research in the study area has focused mainly on archaeological sites, this work describes the sandstone landforms diversity. In this sense, some of the most geodiversity sceneries on Earth are supported by sandstones, solely or dominating over other rock types, and protected by different institutions as UNESCO. This study aims to characterize the geodiversity of Cerro Colorado by documenting the variety of sandstone morphologies and understanding their possible process origins within a global context. This contribution offers theoretical and applied knowledge that is of interest to different areas of environmental reconstruction and geoarchaeological research. The methodology includes 1) field survey and data collection, 2) sandstone landform inventory, 3) the estimation of the morphological component of geodiversity through the geomorphodiversity index (GmI). ALOS PALSAR DEM at 12.5 m spatial resolution was used as primary data. GmI = S + A + Dv + Ch + Cv + TPI + TWI + TRI; where, S: slope, A: aspect, Dv: deep valley, Ch: horizontal curvature, Cv: vertical curvature, TPI: topographic position index, TWI: topographic wetness index, TRI: topographic roughness index. The GmI was carried out on SAGAGIS through Rao's Q diversity index tool. The landforms are the results of the weathering and erosion processes caused by regional climate changes throughout the geological past (from the Mesozoic to the present day). The GmI considers five classes. The very low and low classes predominate in the study area (55%). The very low diversity refers to plains and eroded short sandstone hills connected with planation surfaces, pavement, and massive domes. The low range is associated with undulating and smooth sandstone shapes. The medium class shows undulating surfaces and the transition to moderately-strong slopes (8-14º). The high diversity is characterized by the middle slopes (14-20º), dominated by cavernous forms as tafoni and caves carved on the cliffs and standing out the presence of tors and rock balance. The very high class comprises steep slopes and deep valleys related to the highest sandstone heights (880 m.a.s.l.). The shelters (high class) contain native rock art paintings which conservation requires geomorphological knowledge to prevent degradation. The sandstone geodiversity of Cerro Colorado is one of the most attractive assets of the central Argentina region. Moreover, taking into account the pre-Hispanic archaeological legacy, this site presents a unique geomorphological and cultural heritage. Hence, the reserve needs special attention for geotourism promotion, scientific and educational uses, world heritage. This contribution allows (i) bridging the relationship between human interaction and sandstone landscapes which research line has not been developed yet for the study area, and (ii) considered an integrated management plan for geocultural conservation.

How to cite: Boretto, G., Cioccale, M., Gordillo, S., Carignano, C., and Recalde, A.: Geodiversity and Geoheritage of sandstone landscape: Cerro Colorado, Córdoba, Argentina, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9325, https://doi.org/10.5194/egusphere-egu22-9325, 2022.

EGU22-9339 | Presentations | GM12.1

Direct evidence for 5,000 years of Alpine pastoralism: how lake sediments inform about animal diversity, soil erosion and vegetation change 

Marina A Morlock, Saúl Rodriguez-Martinez, Doreen Yu-Tuan Huang, Nicole Glaus, Flavio S Anselmetti, Hendrik Vogel, Fabian Rey, Oliver Heiri, Allison Dwileski, and Jonatan Klaminder

The introduction of vertical mobility for agro-pastoral activities marks an important change in prehistoric society, which has altered the socioeconomic structuring of Alpine areas. It has also had severe consequences for the high Alpine ecosystems, including the destabilisation of soils, sustained vegetation disturbance, and lake eutrophication. With climate change and increasing anthropogenic pressure to Alpine environments, it is critical to better characterise the interaction between natural and anthropogenic factors that have shaped Alpine environments during the last millennia.

We present a Holocene record of domestic and wild animal presence through sediment-DNA analysis from a lake sediment core from the Eastern Swiss Alps and study the effects on soil erosion and vegetation composition. We provide direct evidence for the onset of pastoralism around 5,000 years BP, after which the site became repeatedly abandoned and re-occupied. According to our sediment-DNA reconstructions, several domestic species are present during early occupational periods, while cattle herding has become dominant during the last millennium. The latter period also coincides with a severe change in vegetation composition. Pastoral activities have had marked effects on soil erosion, while catchment deforestation already occurred ~2,000 years prior to the first findings of DNA from domestic animals, suggesting that the onset of Alpine pastoralism did not cause severe vegetation changes in our catchment. Further, sediment-DNA findings indicate that wild animals avoided near-shore territories during periods of human occupation, but returned to the lake shore upon site abandonment.

Our study opens a new perspective on long-term human-environment interactions in Alpine environments by providing direct evidence for animal presence and diversity and linking this information to physical and ecological factors such as soil erosion and vegetation change.

How to cite: Morlock, M. A., Rodriguez-Martinez, S., Huang, D. Y.-T., Glaus, N., Anselmetti, F. S., Vogel, H., Rey, F., Heiri, O., Dwileski, A., and Klaminder, J.: Direct evidence for 5,000 years of Alpine pastoralism: how lake sediments inform about animal diversity, soil erosion and vegetation change, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9339, https://doi.org/10.5194/egusphere-egu22-9339, 2022.

EGU22-9549 | Presentations | GM12.1

Insights into the role of geology in human occupation strategies in Bronze Age Sardinia (Italy) 

Guido Stefano Mariani, Filippo Brandolini, and Rita Teresa Melis

The geological substrate and its landforms, as main providers of natural resources, have a clear influence on landscape management practices The landscape evolution of the island of Sardinia (Italy) during the Holocene has strongly influenced the populations settled there, especially during the Bronze Age. We constructed a map of the land units in the southwestern corner of Sardinia and compared them with the distribution of known Bronze Age megalithic towers called nuraghes. Our aim is to understand which factors represent relevant criteria for settlement and try to infer possible causes.

The vast majority of nuraghes are located in proximity to river networks at low and mid elevations. Most densely settled areas also show the highest landscape diversity with a variety of land units much higher than the rest of the territory. Another potential factor affecting the location choice for nuraghes is the presence of elevated outcrops, which provide the advantage of a raised position and of stable foundations. The interaction of human dispersal patterns with landscape features can provide useful information on the sustenance strategies of past communities. It can therefore be interesting to consider the combined effect of geodiversity and landscape diversity in order to build more accurate dispersal models.

How to cite: Mariani, G. S., Brandolini, F., and Melis, R. T.: Insights into the role of geology in human occupation strategies in Bronze Age Sardinia (Italy), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9549, https://doi.org/10.5194/egusphere-egu22-9549, 2022.

EGU22-13327 | Presentations | GM12.1

Ancient steroids: Human faecal signals and environmental data from a Holocene sediment record of the Yagour Plateau, High Atlas, Morocco 

Henk Cornelissen, Rachel Lupien, William Fletcher, Philip Hughes, Benjamin Bell, Ali Rhoujjati, Abdelhadi Ewague, and David Fink

The analysis of steroids (stanols and stanols compounds) preserved within Holocene sediment records represents a novel approach to establish past periods of human and herbivore occupation in the Atlas mountains of Morocco. These organic compounds are faecally produced by omnivorous and ruminant mammals; the concentrations and ratios of the compounds are used in this study as proxies for past dynamics of human presence. In this study, stanol analysis is employed in tandem with multiproxy sedimentological, palaeoecological and geochronological data of a lake-margin sediment core to evaluate Holocene human presence around the high-elevation wetland system of the Yagour Plateau, in the High Atlas mountains (31.31°N, 7.60°W, 2460 m.a.s.l.). The site is a vital resource for modern pastoral communities, providing fodder for livestock during seasonal dry periods. Cultural institutions known as Agdals regulate access to this wetland and have been established since early-historic times at least. The Yagour Plateau is well-known for its remarkable abundance of undated petroglyphs, which may relate to the territorial delineation of these Agdals. However, direct dating of archaeological remains is rare and the timing of human presence on the High Atlas rangelands is not well known. Information gained on the dynamics of human presence of remote, high-elevation sites in the High Atlas may be helpful in improving the understanding of the relationships between Holocene climatic, anthropogenic and ecological signals. Here, we present new data from 25 stanol samples spanning the last 13 kyr, complemented by two multiproxy records that include pollen, charcoal and non-pollen palynomorphs. The temporal context of these proxy records is underpinned by high-resolution age-depth radiocarbon chronology. We observe elevated stanol ratios from 6.2 cal ka BP to modern times, likely indicating intermittent human presence on the plateau since the Mid-Holocene. High coprostanol concentrations between 4.9 to 4.0 cal ka BP are similar to modern levels and indicate peak human presence. Faecal biomarkers match well with pollen-based anthropogenic indicators, particularly Plantago pollen abundance. This study supports a significant human presence on the Yagour Plateau from the Mid-Holocene onwards, contributing to the study of long-term human presence and climate dynamics in a sensitive mountain region at the boundary of the Atlantic and Saharan climate systems.

How to cite: Cornelissen, H., Lupien, R., Fletcher, W., Hughes, P., Bell, B., Rhoujjati, A., Ewague, A., and Fink, D.: Ancient steroids: Human faecal signals and environmental data from a Holocene sediment record of the Yagour Plateau, High Atlas, Morocco, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13327, https://doi.org/10.5194/egusphere-egu22-13327, 2022.

SSS4 – Soil Biology, Microbiology and Biodiversity

Generalist species vary in resource use with environments. High intraspecific variation in resource use may hamper trophic niche differentiation and coexistence of microarthropod species. To better understand intraspecific niche variation, we quantified stable isotope ratios of carbon (δ13C) and nitrogen (δ15N) within and between populations of 40 Oribatida species (Acari) that co-occur in litter (OL) and soil (0–5 cm, mainly OF/H, AH) of five forest types (native European beech, non-native Douglas fir, range-expanding Norway spruce, two beech–conifer mixed forests). Although stable isotope signature of bulk material differed between litter and soil, δ13C and δ15N values of Oribatida species were remarkably stable irrespective of soil depth. Furthermore, Oribatida were more enriched in 13C in European beech than in coniferous forests, but δ15N values of Oribatida were similar across forest types. We conclude that trophic position (δ15N values) of Oribatida species is highly consistent across forest type, and that Oribatida species occupy virtually identical trophic niches (δ13C and δ15N values) irrespective of the soil depth they colonize. Despite that stable isotope analysis cannot reveal what animals actually feed on, our results suggest that low intraspecific variability facilitates niche differentiation and coexistence of Oribatida species. Overall, the results indicate that generalist species of soil microarthropods may be highly consistent in their resource use irrespective of environments. 

How to cite: Lu, J. and Scheu, S.: High consistency of trophic niches in soil microarthropod species (Oribatida, Acari) across soil depth and forest type, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-58, https://doi.org/10.5194/egusphere-egu22-58, 2022.

EGU22-1063 | Presentations | SSS4.1

Soil structure turnover under grassland is mainly driven by biotic drivers 

Frederic Leuther, Robert Mikutta, Maximilian Wolff, Klaus Kaiser, and Steffen Schlüter

Soil structure is a dynamic property of soils which undergoes continuous changes due to various abiotic and biotic drivers. At the same time, the spatial arrangement of pores, organic matter and minerals influences soil functions, such as storage and filtering of water, nutrient cycling, or habitat for soil organisms and plants. In terms of carbon storage and matter turnover, the rearrangement of soil structure and herewith the change in accessibility of soil carbon for microbial decomposition is highly relevant. However, the turnover of soil structure and its constituents is difficult to quantify. In this study, a new method of structure labelling with inert garnet-particles in combination with X-ray µCT was used to determine the turnover rate of macro-aggregates and their drivers in two field experiments. Trials were conducted in topsoils of a Chernozem and a Luvisol under grassland, both with a silty loam texture but under different climatic conditions (Chernozem = 480 mm precipitation, Luvisol 886 mm). Over the course of 4 years, soil structure was regularly determined by X-ray µCT at two resolutions, 60 µm and 15 µm, to track soil structure development with time and in response to seasons. By excluding roots and soil fauna > 30 µm in half of the samples, it was possible to estimate the contribution of abiotic and biotic drivers. The distribution of garnet particles was determined in order to quantify the rate of soil structure turnover as related to potential biotic drivers. It is shown that soil structure turnover by natural processes is slow and that both abiotic and biotic drivers affect soil structure. Turnover under dry climatic condition was significantly slower due to lower biological activity. When soil is mixed by fauna > 30 µm activity, the distribution of garnet particles originally located at the surfaces of macro-aggregates became increasingly randomised, indicating rearrangement of soil structure and establishment of new pore−soil matrix interfaces.

How to cite: Leuther, F., Mikutta, R., Wolff, M., Kaiser, K., and Schlüter, S.: Soil structure turnover under grassland is mainly driven by biotic drivers, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1063, https://doi.org/10.5194/egusphere-egu22-1063, 2022.

EGU22-1112 | Presentations | SSS4.1 | Highlight

Abundance and community composition of free-living nematodes as a function of soil structure under different vineyard managements 

Steffen Schlüter, Eshel Gil, Tirza Doniger, Itaii Applebaum, and Yosef Steinberger

Organic farming aims at improving soil fertility in vineyard soils through a combination of farming practices. We studied the effect of organic management on community traits of free-living nematodes as well as bulk and microstructure properties of soil by comparing them to conventional management, both within vine rows and in interrows. The objectives of this study were to: 1) identify differences between management systems in terms of nematode abundance and molecularly measured community composition, and 2) to scrutinize, whether these changes can be explained by microstructural properties measured with X-ray computed tomography (X-ray CT) of individual soil aggregates. Nematode abundance was mainly  governed by habitat constraints, which was reflected in significant correlations with soil moisture and with porosity in the habitable size range of 20–220 μm obtained with X-ray CT. The lack of bioturbation by fine roots and the absence of irrigation reduced the abundance of water-filled, habitable pores, which resulted in the lowest nematode abundance in conventionally managed interrows without a grass cover. Community composition in terms of diversity and maturity, in turn, was not affected by habitat constraints but mainly governed by resource availability for the soil food web estimated by particulate and dissolved organic matter contents. The permanent grass cover and lack of tillage in interrows of the organic vineyard improved resource availability and promoted the build-up of omnivores and predators that are especially sensitive to disturbance. The organically managed interrows therefore had lower diversity and higher maturity than conventionally managed interrows. Differences between conventional and
organic management were in general greater in interrows than within vine rows.
These findings highlight the added value of pore structure investigations via X-ray CT in understanding trophic interactions of nematodes. At the same time, they stress the importance of exact sampling locations on nematode traits especially for perennial, woody crops.

How to cite: Schlüter, S., Gil, E., Doniger, T., Applebaum, I., and Steinberger, Y.: Abundance and community composition of free-living nematodes as a function of soil structure under different vineyard managements, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1112, https://doi.org/10.5194/egusphere-egu22-1112, 2022.

EGU22-1418 | Presentations | SSS4.1

Fungal mycelium growth: effects of the sand particle size 

Andrey Zuev

In-growth mesh bag technique is widely used for assessing production and turnover of the fungal mycelium in soil, but remains poorly standardized. Various filling materials are used mainly quartz sand with particle size range of 0.4–2.0 mm or 0.5–1.5 mm. Substrate particle size plays a crucial role in soil pore formation: larger pore space may increase the growth of mycelium that spreads along cracks and other air-filled pores In contrast, the volume of soil explored by fungi can increase with greater bulk density while mycelium allocation shifts from a few large pores to more evenly distributed small pores. This research was aimed at testing the use of quartz sand of different particle size, as a filling for in-growth mesh bags, in order to obtain a maximum amount of fungal mycelium. Mesh bags were incubated in a Norway spruce forest in Central Russia. Mycelial biomass was higher in sand of coarse (> 0.5 mm) particle size and reached maximum (up to 798 μg of mycelium dry weight g−1 sand).

How to cite: Zuev, A.: Fungal mycelium growth: effects of the sand particle size, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1418, https://doi.org/10.5194/egusphere-egu22-1418, 2022.

EGU22-2385 | Presentations | SSS4.1 | Highlight

Belowground networking: Biogeography of EcM fungi and species variation at different woodland ages 

Olivia Azevedo, Sietse van der Linde, Kirsty Park, Frank Ashwood, Elisa Fuentes-Montemayor, Clare Wilson, Kevin Watts, and Elena Vanguelova

Ectomycorrhizae (EcM) are evolved mutualistic associations between soil fungi and plant roots. It has been shown that there can be species-specific differences in the ability to colonise roots. Colo­nised roots have increased longevity, greater resistance to pathogens, toxic elements in the soil and extreme con­ditions of temperature, acidity and moisture.

EcM inocula are an essential resource in forest management. Nevertheless, measures being implemented worldwide to promote forest cover recovery to reduce atmospheric CO2 levels can cause ecological shifts. Shifts to ecological communities take place as species become more or less abundant, are wiped out or colonise new habitats. However, these changes may not be captured by metrics focusing on species richness alone.

The lack of direct evidence of large-scale EcM temporal change in fungal community structure or function over time - commonly used in animal and plant research - is a basic, structural knowledge gap. Understanding temporal changes in community composition, whether via species losses and gains, or alterations to relative abundance and dominance is therefore essential to fathom the performance of terrestrial ecosystems, in particular the soil environment and its functions.

This study will characterise EcM fungi in woodland sites of varying ages. This study uses a space-for-time approach, benefiting from a collection of sites part of a wider study on the biodiversity responses to woodland planting.

How to cite: Azevedo, O., van der Linde, S., Park, K., Ashwood, F., Fuentes-Montemayor, E., Wilson, C., Watts, K., and Vanguelova, E.: Belowground networking: Biogeography of EcM fungi and species variation at different woodland ages, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2385, https://doi.org/10.5194/egusphere-egu22-2385, 2022.

EGU22-2817 | Presentations | SSS4.1

Effect of pore diameter on the mobility of six collembolan species: an experimental approach using 3D printed soil pore simulation models 

Amandine Erktan, Robinson Winkler, Paul Henning-Krogh, and Stefan Scheu

Soil is a complex habitat that host an important diversity of soil organisms. The latter process soil organic matter along trophic chains that play a key role in soil functioning. While important progress has been made to decipher complex trophic interactions in soils, the role of soil animal mobility within the pore space as a determinant of food accessibility, and thus trophic interactions, remains poorly studied. Collembolans are ubiquitous microarthropods playing a pivotal role in soil food webs. We expected that collembolans colonize soil pores of equivalent dimension to their body size (few hundred microns). In these pores, they may hide from predators and access food resources, notably microbes. However, experimental evidences of the range of soil pores accessible to Collembola, and how it affects their mobility are missing. We used self-designed 3D printed physical pore simulation models with pore cylinders of 0.5, 0.75, 1 and 3 mm diameter (and all 4 mm long) to test how the pore diameter affects the mobility of six collembolan species (Heteromurus nitidus, Sinella curviseta, Folsomia candida, Ceratophysella denticulata, Protaphorura fimata and Mesaphorura macrochaeta). For each species, 10 individuals were placed in the soil pore simulation model at moist and dark conditions, and their ability to pass through pores was assessed after 7.5 minutes of incubation. We observed that collembolan mobility increased with pore diameter (P < 0.001), but this varied among species (P < 0.001). Species with the largest body size, namely H. nitidus (body width 0.58 ± 0.29 mm) and C. denticulata (body width 0.50 ± 0.12 mm) were particularly restricted with less than 1% of the individuals passing through pore necks of 0.4 mm. As the pore neck diameter increased, passage increased more for C. denticulata than for H. nitidus. Only 46 ± 20 % of the individuals of H. nitidus passed through a pore neck of 1 mm, whereas for C. denticulata it was 76 ± 10 %. Across the different pore diameters, P. fimata (body width 0.36 ± 0.08 mm) was the least restricted species, with 76 ± 18 % of individuals passing through pores of 0.4 mm diameter. M. macrochaeta (body width 0.11 ± 0.07 mm), S. curviseta (body width 0.39 ± 0.26 mm) and F. candida (body width 0.31 ± 0.09 mm) showed intermediate restriction in mobility with 54 ± 28 %, 43 ± 19 % and 43 ± 28 % of the individuals passing through pore of 0.4 mm diameter, respectively. At a pore diameter of 1 mm, these proportions raised to 84 ± 20%, 79 ± 10% and 95 ± 5%, respectively. Overall, Collembolan species were able to enter pores 20 ± 37 - 171 ± 33 µm wider than their body width, suggesting different ability to enter narrow pores depending on species. We conclude that the dimension of the pore diameter is a main factor restricting the mobility of collembolans in soil and presumably functions as main determinant of food accessibility.

How to cite: Erktan, A., Winkler, R., Henning-Krogh, P., and Scheu, S.: Effect of pore diameter on the mobility of six collembolan species: an experimental approach using 3D printed soil pore simulation models, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2817, https://doi.org/10.5194/egusphere-egu22-2817, 2022.

Recent studies have identified soil drying as a dominant driver of transpiration reduction at the global scale. Although Arbuscular Mycorrhiza Fungi (AMF) are assumed to play a pivotal role in plant response to soil drying, studies investigating the impact of AMF on plant water status and soil-plant hydraulic conductance are lacking. Thus, the main objective of this study was to investigate the influence of AMF on soil-plant conductance and plant water status of tomato under drought. We hypothesized that AMF limit the drop in matric potential across the rhizosphere, especially in drying soil. The underlying mechanism is that AMF extend the effective root radius and hence reduce the water fluxes at the root-soil interface. The follow-up hypothesis is that AMF enhance soil-plant hydraulic conductance and plant water status during soil drying. To test these hypotheses, we measured the relation between transpiration, soil and leaf water potential of tomato with reduced mycorrhiza colonization (RMC) and the corresponding wild-type (WT). We inoculated the soil of the WT with Rhizophagus irregularis spores to potentially upsurge symbiosis initiation. During soil drying, leaf water potential of the WT did not drop below -0.8 MPa during the first six days after withholding irrigation, while leaf water potential of RMC dropped below -1 MPa already after four days. Furthermore, AMF enhanced the soil-plant hydraulic conductance of the WT during soil drying. In contrast, soil-plant hydraulic conductance of the RMC declined more abruptly as soil dried. We conclude that AMF maintained the hydraulic continuity between root and soil in drying soils, hereby reducing the drop in matric potential at the root-soil interface and enhancing soil-plant hydraulic conductance of tomato under edaphic stress. Future studies will investigate the role of AMF on soil-plant hydraulic conductance and plant water status among diverse plant species growing in contrasting soil textures.

How to cite: Abdalla, M. and Ahmed, M.: Arbuscular mycorrhiza symbiosis improves plant water status and soil-root hydraulic conductance under drought, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3431, https://doi.org/10.5194/egusphere-egu22-3431, 2022.

EGU22-3447 | Presentations | SSS4.1

A synthetic soil approach to link microbial community composition to soil functions 

Julia Horak, Hannes Schmidt, Leila Hadziabdic, Kerim Dimitri Kits, and Andreas Richter

Linking soil functions to microbial community structure is arguably one of the greatest challenges in soil ecology, presumably due to the structural complexity and heterogeneity of soil across scales and time, as well as the large number of microbial taxa present. To overcome these impediments, we here introduce a model soil ecosystem - the “Synthetic Soil” - which allows soil structure and microbial community composition to be varied separately, to disentangle the complex relationship. The Synthetic Soil consists of a mixture of sterilized primary and secondary soil minerals and organic matter of plant and microbial origin, which together constitute the artificial soil matrix. This abiotic soil matrix is then inoculated with an in-silico designed, minimal microbial community, composed of 12 selected soil bacteria and fungi.

We demonstrate the applicability of the approach, by incubating the Synthetic Soil in a sterile environment for five weeks. During this period, an actively growing soil community established, indicated by stable respiration rates, increasing DNA- and ammonium concentrations, depletion of dissolved organic carbon, and by changes in relative abundances of the community members. Additionally, the minimal community was actively decomposing soil organic matter by the production of extracellular enzymes. In conclusion, the Synthetic Soil approach developed in this study, allows the construction of powerful and modifiable model ecosystems, which will make it possible to link soil functions to microbial community structure and thus to address fundamental questions of soil ecology.  

How to cite: Horak, J., Schmidt, H., Hadziabdic, L., Kits, K. D., and Richter, A.: A synthetic soil approach to link microbial community composition to soil functions, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3447, https://doi.org/10.5194/egusphere-egu22-3447, 2022.

EGU22-7814 | Presentations | SSS4.1

Responses of subsoil organic matter contents and physical properties to long-term application of increasing amounts of manure 

Maximilian Wolff, Frederic Leuther, Klaus Kaiser, Lena Schumann, Ines Merbach, Robert Mikutta, and Steffen Schlüter

Application of farmyard manure (FYM) is common practice to improve physical and chemical properties of arable soil and crop yields. However, studies on effects of FYM application mainly focussed on topsoils, those in subsoils have been rarely been addressed so far. We, therefore, investigated the effects of a 36-year application of different FYM rates (0, 50, 100, 200 Mg ha−1 a−1) on organic carbon (OC) contents of a Chernozem in 0−30 cm (topsoil) and 35−45 cm (subsoil) depth, and its effects on soil structure and hydraulic properties in subsoil. X-ray computer tomography was used to analyse the response of macropore system (≥ 19 µm) and the distribution of particulate organic matter (POM) to different FYM applications. Based on morphological characteristics, POM was subdivided into a fresh and aged fraction. Image-derived POM volumes were related to contents in total OC (TOC) and water-extractable OC (WEOC) in order to differentiate between possible input sources of soil OC below the plough horizon. We show that manure application of up to 50 Mg ha−1 a−1 caused increases in TOC and WEOC contents only in the topsoil, whereas rates of ≥ 100 Mg ha−1 a−1 resulted in TOC enrichment also at deeper depth. In subsoil, the increase in POM (aged and fresh) and WEOC was more marked than that in TOC, indicating that POM and soluble OC may have facilitated the subsoil TOC enrichment. The subdivision of TOC into different OC sources shows that most of the increase was due to fresh POM, likely by roots. The increase in subsoil TOC went along with increases in macroporosity and macropore connectivity, possibly due to the stimulation of bioturbation. We neither observed increases in plant-available water capacity nor in unsaturated hydraulic conductivity. Our study shows that only very high applications of FYM over long periods can increase OC stocks of arable subsoil, but this increase is largely based on fresh, easily degradable POM and accompanied by high C losses.

How to cite: Wolff, M., Leuther, F., Kaiser, K., Schumann, L., Merbach, I., Mikutta, R., and Schlüter, S.: Responses of subsoil organic matter contents and physical properties to long-term application of increasing amounts of manure, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7814, https://doi.org/10.5194/egusphere-egu22-7814, 2022.

It has been established that brown-rot (BR) [1] and some ectomycorrhizal (ECM) [2] fungi use a non-enzymatic Fenton reaction (Fe2+ + H2O2 à Fe3+ + ∙OH) to decompose carbon. This Fenton reaction is driven by secondary metabolites, namely hydroquinones (H2Q), and to date studies of H2Q with redox reactive minerals have primarily been conducted under anoxic conditions and in batch setups. This approach introduces two shortcomings: Firstly, oxic iron(III) (oxyhydr)oxide (FeOOH) transformation and vertical translocation in the soil is ignored. Secondly, as the redox potential (EH) of FeOOH decrease as a function of increasing Fe2+ concentration in solution, the reductive dissolution stops when the EH of Q/H2Q is higher than EH of FeOOH/Fe2+[3]. It follows that in order to investigate the full potential of H2Q driven Fe mobilization an experimental setup, in which the solution is removed from the interface of the reaction, is needed. Consequently, this study will investigate the Fe mobilization potential of 2,6-dimethoxhydroquinone (DMHQ, a stable analogue to a common secondary metabolites produced by BR fungi) in a flow setup with continuous application of H2Q and removal of Fe2+ under oxic and natural relevant concentrations. A low-tech column set-up with synthesized ferrihydrite coated sand (1-0.5 mm) were supplied with 100 mL 20 µM DMHQ bi-daily over a three months period (50 times in all) and pH and Fe2+ concentration was monitored in the outlet. Before and after DMHQ application the coated ferrihydrite’s crystallinity was investigated with dithionite-citrate-bicarbonate and ammonium oxalate extractions. Results will be presented showing that DMHQ can reduce ferrihydrite and mobilize Fe2+ under oxic conditions and further that the ferrihydrite becomes increasingly crystalline, thus less reactive, after exposure to 100 µmol of 2,6-DMHQ. In light of the wide distribution of the Fenton reaction, with BR fungi dominating C sequestration in the boreal forest and ECM fungi being abundant in the boreal forest, eucalyptus forest and heathlands, these findings have interesting implications. Moreover, the results support that podsolization, i.e. the translocation of sesquioxides and soil organic matter associated with the above mentioned ecosystems, is linked to reductive dissolution of FeOOH by fungal secondary metabolites as previously suggested [4].

[1]             E. V Ier, K.E. Hammel, A.N. Kapich, K. a J. Jr, Z.C. Ryan, K. a Jensen, Reactive oxygen species as agents of wood decay by fungi, Enzyme Microb. Technol. 30 (2002) 445–453. doi:10.1016/S0141-0229(02)00011-X.

[2]             L. Qu, K. Makoto, D.S. Choi, A.M. Quoreshi, T. Koike, The Role of Ectomycorrhiza in Boreal Forest Ecosystem BT  - Permafrost Ecosystems: Siberian Larch Forests, in: A. Osawa, O.A. Zyryanova, Y. Matsuura, T. Kajimoto, R.W. Wein (Eds.), Springer Netherlands, Dordrecht, 2010: pp. 413–425. doi:10.1007/978-1-4020-9693-8_21.

[3]             C.A. Gorski, R. Edwards, M. Sander, T.B. Hofstetter, S.M. Stewart, Thermodynamic Characterization of Iron Oxide–Aqueous Fe 2+ Redox Couples, Environ. Sci. Technol. 50 (2016) 8538–8547. doi:10.1021/acs.est.6b02661.

[4]             N. van Breemen, U.S. Lundström, A.G. Jongmans, Do plants drive podzolization via rock-eating mycorrhizal fungi?, Geoderma. 94 (2000) 163–171. doi:10.1016/S0016-7061(99)00050-6.

How to cite: Lyngsie, G.: Oxic transformation and translocation of ferrihydrite by fungal secondary metabolites, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9671, https://doi.org/10.5194/egusphere-egu22-9671, 2022.

EGU22-9836 | Presentations | SSS4.1 | Highlight

Two-dimensional microfluidic nutrient patches for direct visualization of microbial resource cycling 

Hanbang Zou, Pelle Ohlsson, and Edith Hammer

A better understanding of soil carbon sequestration is important as the rapid elevation of carbon emission has significantly impacted our climate. The soil carbon dynamic process is strongly associated with trophic interactions in the soil communities. However, direct investigation of microbes and trophic interactions at microscale has been a major challenge due to the opacity of soil and the exceedingly complex pore spaces that limit direct in situ observation of trophic interactions and their variations with soil structure. As such, we decide to use microfluidic technique to create a two dimensional heterogeneous porous microenvironment containing nutrient patches of different quantity and quality to mimic the complex soil pore network and its heterogenous distribution of resources. This allows us to directly visualize and investigate the ability of organisms to access spaces starting from an initial ecophysiological precondition to changes of spatial accessibility mediated by interactions with the microbial community.

Microfluidics is a multidisciplinary platform that integrates micro fabrication, physical chemistry analysis, automation and microscopy. It has been widely used in life science and chemistry as it allows precise liquid manipulation, rapid measurements, real-time visualization at microscale, which is especially of interest and benefit to microbial studies. We created a complex pore network mimicking different soil environments – earlier considered impossible to achieve experimentally. The microfluidic channel contains a random distribution of cylindrical pillars of different sizes so as to mimic the pore space variations found in real soil. The randomness in the design creates various spatial availability for microbes. The nutrient patches within the pore space are achieved via capillary force trapping or UV curing hydrogel. In the former method, the patches are created by trapping nutrients in the predesign pore space due to interfacial tension between air and nutrient liquid. However, displacement instability during air injection makes it hard to control the formation of the patches. The latter enables better and more precise patches size and location manipulation but hydrogel biocompatibility with various fungal species remains a major challenge and hydrogel curing requires special facilities. The microfluidic nutrient patches provide spatial heterogeneities of resource distribution, which allows us to have a better understanding of the influence of spatial accessibility on the microbial community. The chip has five different nutrient distribution levels, ranging from centralized – a single large nutrient patch-  to increasingly dispersed nutrient distributions - sets of up to 49 loosely distributed nutrient patches of equal total volume. The experiments will be carried out using sterile cultures of fluorescent bacteria and fungi, synthetic communities of combinations of these, or a whole soil community inoculum. We will quantify the consumption of organic matter from the different areas via fluorescent substrates, and measure the bio- and necromass produced. We hypothesise that denser distribution will increase the net decomposition of organic matter as a centralized nutrient location increases the interactions within the microbial communities and individuals present in that area, which induces higher competition stress in the different communities.

How to cite: Zou, H., Ohlsson, P., and Hammer, E.: Two-dimensional microfluidic nutrient patches for direct visualization of microbial resource cycling, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9836, https://doi.org/10.5194/egusphere-egu22-9836, 2022.

EGU22-9895 | Presentations | SSS4.1

Resistance and resilience of soil biodiversity after tree logging: case studies in rubber plantation in Ivory Coast 

Aymard Kouakou, Kolo Yéo, Jean Trap, Thibaut Perron, Sidy Diakhaté, Frédéric Gay, and Alain Brauman

Abstract

After a Rubber plantation cycle (25 to 40 years), the greatest risk of soil degradation occurred during the replanting period which extends from the clear cutting of an old plantation to the planting of young rubber trees. During this period, the soil is subject to numerous disturbances mainly related to (1) the opening up of the environment following clear cutting (2) the export of organic matter with machines and (3) the practice of deep subsoiling by heavy machinery. These practices may affect directly or indirectly biodiversity and the delivery of soil functions (Missanjo and Kamanga-Thole 2014).

To mitigate soil degradation after one or more plantation cycles, some agricultural practices are commonly used, such as the implementation of a cover crop in the inter-rows at planting (Gao et al. 2017; Liu et al. 2018). Another alternative to restore soil functions is to leave the logging residues (i.e. trunk, branches, leaves and roots of the logged plantation) on the plot, given the high amount of carbon and nutrients accumulated in the tree at the clear-cut stage (Perron et al. 2021). The positive impact of crop residues has been demonstrated on soil fauna resilience (Lassauce et al. 2012; Carron et al. 2015), soil organic carbon and nutrients (Alam et al. 2018). However, so far, this agroecological practice has never been tested in rubber plantations and the effect of the restitution of logging residues on soil functioning has never been addressed.

We set up a field experiment after logging of the previous old RP in two industrial rubber plantations in Ivory Coast with contrasting soil types. In each RP, different type of logging residues and legume were added after clear cutting to determine their respective impact on the resilience of soil biodiversity. We hypothesized that (i) the input of logging residues and legumes after a clear-cutting will promote the resilience of soil biodiversity (microbial, nematode and macrofauna) (ii) soil types will affect the level of resistance and resilience of the soil biodiversity.

In both sites, we observed a significant loss of soil biodiversity, 6 months after clear-cutting and land preparation. The negative impact of mechanical disturbance on the dynamics of soil biodiversity has been revealed by lower abundance, richness, beta diversity, ecological indexes and co-occurrence networks. For example, soil macrofauna density significantly dropped by 36.04 and 93.65% at sandy and clay site respectively. Macrofauna diversity decreased significantly by 60.6% at sandy site and 91.39% at clay site. Practices with logging residues contributed to higher resilience of macrofauna density (~ 360% in clay site and 300% in sandy site) and diversity (134–154% in clay site and 58-73% in sandy site) than practice without residues (75–97% in clay site and 35-38% in sandy site). The application of logging residues and legume was the most efficient practice to promote soil biodiversity and to mitigate the negative impact of clear-cutting in rubber monocultures after a 40 years’ rotation.

Key words: Soil biodiversity, Rubber plantation, Restoration, Logging residues

How to cite: Kouakou, A., Yéo, K., Trap, J., Perron, T., Diakhaté, S., Gay, F., and Brauman, A.: Resistance and resilience of soil biodiversity after tree logging: case studies in rubber plantation in Ivory Coast, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9895, https://doi.org/10.5194/egusphere-egu22-9895, 2022.

EGU22-10476 | Presentations | SSS4.1

The Spatial Extent of Carbohydrate Sharing in the Wood-Wide Web Varies with Climate and with Taxonomy of Ectomycorrhizal Fungi : Insights from the Swiss Forest FACE 

Erik Hobbie, Sonja Keel, Katharina Steinmann, Markus Wilhelm, Matthias Saurer, Rolf Siegwolf, and Christian Körner

∙ To assess how belowground mycorrhizal networks may share resources, we used δ13C, δ15N, and C/N measurements to calculate spatial and temporal dynamics of carbohydrate and amino acid movement through ectomycorrhizal networks of mature trees.

∙ Canopies of 14 deciduous trees were continuously labeled with 13C-depleted CO2 from 2001-2005 (Swiss Forest FACE) and the 13C label traced into ectomycorrhizal sporocarps.

∙ Sporocarps derived 69±5%, 30±6%, and 16±7% of their carbon from labeled trees in the elevated (beneath labeled trees), 0-6 m, and 6-12 m distances, respectively. Sporocarp δ13C correlated positively with C/N under elevated CO2 and negatively elsewhere, reflecting that high-δ13C carbohydrates from surrounding trees contributed to sporocarps under elevated CO2 and low-δ13C carbohydrates from elevated CO2 trees contributed to sporocarps elsewhere. Sporocarp δ15N increased in Cortinarius with decreasing δ13C, suggesting that greater hyphal growth with elevated CO2 sequestered 15N-depleted N from sporocarp formation. Sporocarp loge C/N decreased during the 2004 growing season and the contribution of 13C-depleted carbon from elevated CO2 plants decreased at the 0-6 m and 6-12 m distances, suggesting decreased carbohydrate availability and network transport that year. In contrast, sporocarp loge C/N increased during the 2005 growing season and the contribution of 13C-depleted carbon from elevated CO2 plants increased at the 0-6 m distance, suggesting increased carbohydrate availability and network transport that year. Relative to other taxa, elevated CO2 reduced C/N by 15% and ambient CO2 increased C/N by 5% in taxa exclusively associated with deciduous trees, suggesting increased carbohydrate sharing by the deciduous-associated taxa.

∙ These patterns indicated that 1) carbohydrates (high C/N), not amino acids (low C/N), were preferentially transferred between regions differing in source δ13C, 2) sporocarp C/N reflected yearly plant productivity, 3) network transport was influenced by climate, and 4) taxonomy influenced transport dynamics belowground.

How to cite: Hobbie, E., Keel, S., Steinmann, K., Wilhelm, M., Saurer, M., Siegwolf, R., and Körner, C.: The Spatial Extent of Carbohydrate Sharing in the Wood-Wide Web Varies with Climate and with Taxonomy of Ectomycorrhizal Fungi : Insights from the Swiss Forest FACE, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10476, https://doi.org/10.5194/egusphere-egu22-10476, 2022.

The production, formulation and use on agricultural soils of biofertiliser or biostimulant mixtures containing several species of microorganisms is becoming increasingly common. The study of the interactions between the biological components of such products is less frequent. Often the marketed mixtures combine a high microbial load, in the form of both spores and propagules of fungi and bacteria whose positive or negative synergies are tested only to a limited extent, mainly because of the costs involved in field trials. The in vitro study of interactions between fungi or between fungi and bacteria is very important for understanding what can be expected in vivo, i.e. once microorganisms are released in large quantities into soils that already have local microbial communities.  The use of innovative techniques such as digital qPCR and phenotype microarrays now makes it possible to rapidly test thousands of interactions between two or more microorganisms. In this work, a method is proposed to evaluate the positive or negative effects of co-inoculums of different microorganisms on some main biological functions, and in particular the use of defined nutritive sources. The proposed protocol combines the application of commercial BiologR microplates with the quantification of the biomass of the individual co-inoculated strains by means of molecular tracing techniques and digital qPCR analysis. In vitro analysis of the effects of interactions is crucial because competition or commensalism can give rise to new compounds (i.e. enzymes, antibiotics, allopathic molecules) or behaviours (production of resistant structures, cellular apoptosis, changes in life cycle as perfect state inhibition or stimulation, etc.), which in turn can have definite effects on both the efficacy of the product and the variability of its properties.

How to cite: Mocali, S., Canfora, L., and Pinzari, F.: Qualitative-quantitative protocol for studying the interaction between fungi and between fungi and bacteria to produce bio-fertilising co-inoculants, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13545, https://doi.org/10.5194/egusphere-egu22-13545, 2022.

EGU22-44 | Presentations | SSS4.2

Ecosystem engineering by desert macro-detritivores facilitates microbial litter decomposition 

Nevo Sagi, Moshe Zaguri, and Dror Hawlena

Litter decomposition in most terrestrial ecosystems is regulated by moisture-dependent microorganism activity, among other things. Decomposition models typically underestimate rates of plant litter decomposition in drylands, suggesting the existence of additional drivers of decomposition. Attempts to reveal these drivers have predominantly focused on abiotic degradation agents, alternative moisture sources, and soil–litter mixing. The role of burrowing animals in promoting decomposition has received less attention despite greatly contributing to plant litter transfer from the harsh desert surface to the moister and nutrient-rich environment belowground. In a previous study in the Negev Desert, we found that macrofauna account for 89% of the litter cleared from the desert surface, and detected elevated nutrient levels near desert isopod (Hemilepistus reaumuri) burrows. Here, our goal was to explore how macro-detritivore burrows affect plant litter mineralization dynamics. We introduced 13C-labeled litter belowground into (1) isopod burrows and (2) artificial burrows, and aboveground on top of (3) isopod fecal pellet mounds and (4) bare soil crust. We compared the litter mass loss between the four treatments and used cavity ring-down spectroscopy to reveal the in-situ mineralization dynamics. No litter mineralization was evident during the dry summer months both above- and belowground. Following rain events, mineralization rates spiked in all four micro-environments, quickly diminishing aboveground while slowly waning belowground. Total litter mass loss was twofold higher below than aboveground and was significantly higher in isopod burrows compared to artificial burrows. Our findings demonstrate that burrowing macro-detritivores promote litter decomposition in deserts by transferring organic matter to their burrows where favorable climatic conditions and a nutrient-enriched environment foster microbial activity. Thus, attempts to resolve the dryland decomposition conundrum should not be limited to exploring factors that allow decomposition under harsh desert surface climatic conditions, but focus on the role that animals play in facilitating decomposer-friendly environments to which they translocate plant litter.

How to cite: Sagi, N., Zaguri, M., and Hawlena, D.: Ecosystem engineering by desert macro-detritivores facilitates microbial litter decomposition, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-44, https://doi.org/10.5194/egusphere-egu22-44, 2022.

EGU22-55 | Presentations | SSS4.2

Termite mounds in Cambodian paddy fields. Are they always kept for improving soil quality? 

Ratha Muon, Chenda Lai, Eve Bureau-Point, François Chassagne, Frank Wieringa, Jacques Berger, Kimchhin Sok, Martine Audibert, Pascal Podwojewski, Sebastien Marchand, Vannak Ann, and Pascal Jouquet

Abstract

The utilization of termite mounds for the improvement of soil fertility is a worldwide practice and usually explained by the specific properties of this biogenic material. In Cambodia, farmers also use termite mound soils as amendments with the aim to improve the fertility of paddy fields. The first objective of this study was, therefore, to describe the physical and chemical properties of this material and, consequently, to determine its potential for improving soil fertility. A second objective was to consider farmer’s perception and to quantify the diversity of services provided by termite mounds. We confirmed the specific soil properties of termite mounds but showed that their positive influence on soil chemical fertility and water retention are only significant in very sandy soil (>80% sand) while they remain limited in less sandy soil (~40 and 60% of sand). However, termite mounds are considered useful by farmers independently of the soil condition, mostly because this soil material is considered to positively increase soil fertility but also because they host a specific biodiversity which can be used for medicinal purposes or because consumed, then increasing population livelihood. Our work shows the discrepancy between the perception of farmers and the real impact of termite mounds on soil fertility as well as the diversity of services delivered by biodiversity in paddy fields. 

How to cite: Muon, R., Lai, C., Bureau-Point, E., Chassagne, F., Wieringa, F., Berger, J., Sok, K., Audibert, M., Podwojewski, P., Marchand, S., Ann, V., and Jouquet, P.: Termite mounds in Cambodian paddy fields. Are they always kept for improving soil quality?, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-55, https://doi.org/10.5194/egusphere-egu22-55, 2022.

EGU22-98 | Presentations | SSS4.2

Leaf litter morphological traits, body mass and phylogenetic affiliation explain the feeding and feces properties of saprophagous macroarthropods. 

Pierre Ganault, Sandra Barantal, Sylvain Coq, Stephan Hättenschwiler, Shéhérazade Lucas, Thibaud Decaëns, and Johanne Nahmani

Saprophagous macroarthropods are important actors in litter decomposition as they process large amounts of litter and transform it into fecal pellets that differ in  chemical and physical properties compared to ingested litter. When having a choice among several litter types, saprophagous macroarthropods exhibit feeding preferences depending on their nutritional requirements and body size. However, how these preferences affect feces properties is not well known. We compared the feeding preferences, production of fecal pellets and their properties for six widespread saprophagous macroarthropods species feeding on a litter mix of four common tree species from Mediterranean forests. The six animal species showed different feeding preferences that were not correlated to litter nutritional quality. Instead, we suggest that the use as microhabitat of the leaves of one litter species with tubular shape by macroarthropods  induced its higher consumption despite having the lowest nutritional value. Larger species consumed less litter per unit of body mass and had a more diverse diet composition. Furthermore, feces properties could not be linked to the diet composition, but always had higher nutritional value and water holding capacity compared to the leaf litter. The three woodlice species consistently produced feces with higher tannin concentration, higher specific area, and lower water holding capacity than that of the three millipede species. Our study calls for the consideration of other leaf litter properties than the generally studied physical and chemical ones, as well as quantifying the difference between millipede and woodlice faeces properties that may have functional implication for nutrient cycling.

How to cite: Ganault, P., Barantal, S., Coq, S., Hättenschwiler, S., Lucas, S., Decaëns, T., and Nahmani, J.: Leaf litter morphological traits, body mass and phylogenetic affiliation explain the feeding and feces properties of saprophagous macroarthropods., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-98, https://doi.org/10.5194/egusphere-egu22-98, 2022.

EGU22-747 | Presentations | SSS4.2

Nutrient scarcity strengthens soil fauna control over leaf litter decomposition in tropical rainforests 

Guille Peguero, Jordi Sardans, Andreas Richter, Ivan Janssens, and Josep Peñuelas

Soil fauna is a key control of the decomposition rate of leaf litter, yet its interactions with litter quality and the soil environment remain elusive. We conducted a litter decomposition experiment across different topographic levels within the landscape replicated in two rainforest sites providing natural gradients in soil fertility to test the hypothesis that low nutrient availability in litter and soil increases the strength of fauna control over litter decomposition. We crossed these data with a large dataset of 44 variables characterizing the biotic and abiotic microenvironment of each sampling point and found that microbe-driven Carbon (C) and Nitrogen (N) losses from leaf litter were 10.1 and 17.9 % lower, respectively, in the nutrient-poorest site but this among-site difference was equalized when meso- and macrofauna had access to the litterbags. Further, on average soil fauna enhanced the rate of litter decomposition by 22.6%, and this contribution consistently increased as nutrient availability in the microenvironment declined. Our results indicate that nutrient scarcity increases the importance of soil fauna on C and N cycling in tropical rainforests. Further, soil fauna is able to equalize differences in microbial decomposition potential thus buffering to a remarkable extent nutrient shortages at an ecosystem level.

How to cite: Peguero, G., Sardans, J., Richter, A., Janssens, I., and Peñuelas, J.: Nutrient scarcity strengthens soil fauna control over leaf litter decomposition in tropical rainforests, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-747, https://doi.org/10.5194/egusphere-egu22-747, 2022.

EGU22-1423 | Presentations | SSS4.2

Positive feedback loop between burrowing earthworms and soil pH reinforces litter effects on belowground functioning 

Ellen Desie, Koenraad Van Meerbeek, Hans De Wandeler, Helge Bruelheide, Timo Domish, Bogdan Jaroszewicz, François-Xavier Joly, Karen Vancampenhout, Lars Vesterdal, and Bart Muys

In many terrestrial ecosystems, earthworms operate at the interface between plants and soil. Their incidence and abundance depends on several soil properties, yet simultaneously they also impact soil properties themselves. The existence of a positive feedback loop in which earthworm activity maintains their own niche — by promoting turnover rate in the forest floor, thereby increasing topsoil pH and creating suitable living conditions for themselves — has been suggested before, yet lacks supporting evidence. In our European study we found that in forests where moisture is not limiting, soil acidity is an important factor determining the context of belowground interactions, and we were able to confirm the hypothesized feedback loop for forest ecosystems with soil pH ≤ 5. This indicates that the activity of burrowing earthworms is pivotal in belowground functioning, amplifying external drivers (e.g. tree species effects) on biochemical cycling and triggering potential regime shifts in the abiotic compartment. In acidified soils (e.g. pH ≤ 5), forest management is often focused on counteracting acidification and restoring the soil nutrient status. In that regard, managing soil fauna is a promising avenue to steer belowground functioning and may even be necessary upon restoration.

How to cite: Desie, E., Van Meerbeek, K., De Wandeler, H., Bruelheide, H., Domish, T., Jaroszewicz, B., Joly, F.-X., Vancampenhout, K., Vesterdal, L., and Muys, B.: Positive feedback loop between burrowing earthworms and soil pH reinforces litter effects on belowground functioning, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1423, https://doi.org/10.5194/egusphere-egu22-1423, 2022.

EGU22-1603 | Presentations | SSS4.2

Do methane and non-methane releasing millipedes depend on their gut microbiome to digest leaf litter? 

Julius Eyiuche Nweze, Shruti Gupta, Terézia Horváthová, Vladimír Šustr, and Roey Angel

Millipedes, one of the most important detritivores in nature, host a community of microorganisms in their guts that may contribute to their nutrition and overall fitness. However, it remains unclear to what extent do millipedes depend on their microbiome. We evaluated the degree of dependence of methane and non-methane releasing millipedes on their gut microbiome using an experimental approach combining chemical inhibitors, microscopy, stable-isotope probing and meta-omics. First, we used either antibiotics or the methanogenesis inhibitor 2-bromoethanesulphate (BES) on juvenile Epibolus pulchripes (topical; methane releasing) and Glomeris connexa (European; non-methane releasing) to suppress microbial activity. Antibiotics had a large and significant effect on the number of faecal pellets and bacterial plate counts but did not achieve sterilization. It also reduced the weight and CH4 output in E. pulchripes but did not stop it. BES completely inhibited CH4 production, but recovery was observed after 14-days of feeding on untreated leaves. BES also reduced the abundance of the functional gene for methanogenesis in the faeces—mcrA—but did not affect their weight or faecal pellet production. While the hindguts of antibiotic-treated E. pulcripes and G. connexa were dominated by Bacteroidota and Proteobacteria, the faeces were dominated by Proteobacteria according to the 16S rRNA amplicon sequencing analysis. Light microscopy and catalysed reporter deposition fluorescence in situ hybridization (CARD-FISH) showed that E. pulchripes harbour a multitude of ciliates with ecto- and endo-symbiotic methanogens belonging to Methanobacteriales and Methanomassilicoccales. Surprisingly, these methanogens were still detectable at similar numbers even when methanogenesis was entirely suppressed. We also used RNA stable isotope probing (RNA-SIP) in conjunction with metagenomics to identify key microbial players in the hindguts and distinguish the microbial metabolic potentials of the two millipede species. RNA-SIP results indicated slow labelling of the bacteria over several weeks, with only a few phyla labelled during the first week of feeding on 13C-labelled poplar leaves. We recovered 305 high-quality MAGs (E. pulchripes - 282 and G. connexa - 33) with ≥ 50% completeness using metagenomics, comprising 18 prokaryotic phyla (E. pulchripes - 18 and G. connexa - 5). In addition, the MAGs contained some novel bacteria along with some known members of the termite gut microbiota. The results from reconstructed metabolic pathways indicate that the potential role of hindgut bacteria is carbohydrate metabolism, followed by energy metabolism, lipid metabolism, nucleotide metabolism and amino acid metabolism. Analysis of the metatranscriptome is currently ongoing. Overall, we conclude that while the microbiome is beneficial for the millipede and its composition reflects the prevailing conditions in the gut, it is not essential. Instead, it seems that unlike other methane-releasing animals like termites or ruminants, the millipedes are not dependent on the fermentation products of microorganisms for their nutrition. Together, these results contribute to our understanding of the millipede microbiota and represent the largest genomic resource available to date. 

How to cite: Eyiuche Nweze, J., Gupta, S., Horváthová, T., Šustr, V., and Angel, R.: Do methane and non-methane releasing millipedes depend on their gut microbiome to digest leaf litter?, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1603, https://doi.org/10.5194/egusphere-egu22-1603, 2022.

EGU22-2974 | Presentations | SSS4.2

Earthworm-plant-microbiota interactions 

Mark Hodson, Phil Brailey-Jones, Will Burns, Andrea Harper, Sue Hartley, Thorunn Helgason, and Hannah Walker

Earthworms have a positive effect on plant growth; this is typically attributed to increased N availability. Earthworms can also increase Si availability; plant Si plays a role in drought tolerance. Finally, earthworms effect microfaunal diversity. We conducted a glasshouse experiment to investigate interactions between these factors. Wheat varieties (Skyfall and four ancient strains) were grown in a greenhouse under presence / absence of adult Allolobophora chlorotica and no-drought / drought watering regimes (39 days watering then a further 17 days of watering or no watering).

Despite earthworm aestivation in drought treatments, plant growth was greater in both the no-drought and drought treatments.

Plant %N was greater in the watered treatments; for the drought treatments, it was greater in the earthworm-present treatments. Plant %C was greater in the earthworm-present treatments. In the earthworm-absent treatments Plant %P and %Si was greater in the watered treatments. In the watered treatments %P and %Si was greater in the absence of earthworms.

Soil pH (c. 8.1) was slightly decreased in the earthworm-present and in the watered treatments. The watered treatments contained more extractable nitrate. Extractable P showed no difference across treatments. The droughted earthworm-present treatments contained more extractable Si than both the earthworm-present watered treatments and earthworm-absent drought treatments.

Different wheat strains behaved similarly with Skyfall showing greater biomass and, sometimes, elemental concentrations.

Bacterial and fungal beta-diversity varied with both watering and earthworm treatments; fungal diversity also varied between wheat strains.

Plants showed significant differences in RNA expression between both watering and earthworm treatments including for genes linked to N uptake.

Earthworms promoted plant growth under both watered and drought conditions. Under drought conditions this does not appear to be related to Si availability or uptake. Similarly we observed no simple relationship between earthworm-presence, N (or P) and plant growth though under drought conditions the presence of earthworms promoted growth and %N in the plants despite lower extractable nitrate. The RNA response of plants suggests a N-related effect perhaps mediated by changes in microbial diversity.

How to cite: Hodson, M., Brailey-Jones, P., Burns, W., Harper, A., Hartley, S., Helgason, T., and Walker, H.: Earthworm-plant-microbiota interactions, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2974, https://doi.org/10.5194/egusphere-egu22-2974, 2022.

EGU22-4828 | Presentations | SSS4.2

Soil fauna drives vertical redistribution of soil organic carbon by long-term irrigation in a dry pine forest 

Claudia Guidi, Beat Frey, Ivano Brunner, Katrin Meusburger, Michael Vogel, Xiaomei Chen, Tobias Stucky, Dariusz J. Gwiazdowicz, Piotr Skubała, Marcus Schaub, Andreas Rigling, and Frank Hagedorn

Summer droughts strongly affect soil organic carbon (SOC) cycling, but net effects on SOC storage are unclear as drought affects both C inputs and outputs from soils. Here, we explored the overlooked role of soil fauna on SOC storage in forests, hypothesizing that soil fauna is particularly drought-sensitive, thereby reducing litter incorporation into the mineral soil and, eventually, long-term SOC storage.

In a drought-prone pine forest (Switzerland), we performed a large-scale irrigation experiment for 17 years and assessed its impact on vertical SOC distribution and composition. We also examined litter decomposition of dominant tree species using litterbags of different mesh sizes and determined soil fauna abundance and community composition.

Long-term irrigation resulted in a C loss in the organic layers (-1.0 kg C m-2) and a comparable C gain in the mineral soil (+0.8 kg C m-2) in the first decade of irrigation, and thus did not affect total SOC stocks. Irrigation increased the mass loss of Quercus pubescens and Viburnum lantana leaf litter more strongly when meso- and macrofauna were included (+215%) compared to excluded (+44%). The enhanced faunal-mediated litter decomposition was paralleled by a many-fold increase in the abundance of meso- and macrofauna during irrigation. Moreover, irrigation led to a shift in Acari and Collembola community composition, with irrigation characterized by the presence of drought-sensitive species. In comparison, microbial SOC mineralization was less responsive to lower soil moisture. Our results suggest that the vertical redistribution of SOC with irrigation was mainly driven by litter incorporation through meso- and macrofauna, here accelerated by irrigation and suppressed by naturally occurring summer droughts.

Our study shows that soil fauna is highly sensitive to natural drought reducing the incorporation of C from organic layers to the mineral soil. In the longer term, this potentially affects SOC storage, decreasing the C stored in mineral soil. Therefore, soil fauna plays a key but so far largely overlooked role in shaping SOC responses to drought.

 

How to cite: Guidi, C., Frey, B., Brunner, I., Meusburger, K., Vogel, M., Chen, X., Stucky, T., Gwiazdowicz, D. J., Skubała, P., Schaub, M., Rigling, A., and Hagedorn, F.: Soil fauna drives vertical redistribution of soil organic carbon by long-term irrigation in a dry pine forest, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4828, https://doi.org/10.5194/egusphere-egu22-4828, 2022.

EGU22-5216 | Presentations | SSS4.2

Exploring the control of earthworm cast macro- and micro-scale features on soil organic carbon mineralisation across species and ecological categories 

Guillaume Le Mer, Nicolas Bottinelli, Marie-France Dignac, Yvan Capowiez, Pascal Jouquet, Arnaud Mazurier, François Baudin, Laurent Caner, and Cornelia Rumpel

The role of earthworms on biogeochemical carbon cycling is a major knowledge gap resulting from the difficulty of isolating and exploring the effects provided by the diversity of organisms. In this study, we investigated the effect of six earthworm species belonging to three ecological categories on soil organic carbon (SOC) mineralisation. To this end, we produced casts with the six species using subsoil material with low SOC content and miscanthus litter. Cast were subjected to laboratory ageing for 140 days. During this process, we monitored physicochemical parameters, CO2 emissions and determined the micro-scale organisation of the casts’ particulate organic matter and pores using X-ray tomography.

Our results showed contrasting properties of fresh casts from the 3 main ecological categories, in accordance with the earthworm species’ morphological or behavioral strategies, indicating that those were maintained in artificial environments. However, species-specific changes in cast properties throughout ageing increased intragroup variability among ecological categories. As a result we observed earthworm species-specific evolution of CO2 mineralisation rates during casts ageing. We found that at least half of the variability in CO2 emissions was explained by cast microstructural changes, related to the spatial arrangement between particulate organic matter, porosity, and mineral particles. We conclude that earthworm species-specific traits may play a role in organic carbon protection through their impact on microstructural cast properties.

How to cite: Le Mer, G., Bottinelli, N., Dignac, M.-F., Capowiez, Y., Jouquet, P., Mazurier, A., Baudin, F., Caner, L., and Rumpel, C.: Exploring the control of earthworm cast macro- and micro-scale features on soil organic carbon mineralisation across species and ecological categories, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5216, https://doi.org/10.5194/egusphere-egu22-5216, 2022.

EGU22-5706 | Presentations | SSS4.2

Can earthworms enhance mineral weathering and thereby increase carbon sequestration?  

Tullia Calogiuri, Peter Garamszegi, Alix Vidal, Jan Willem van Groenigen, and Mathilde Hagens

Negative Emission Technologies (NETs) are urgently needed if we want to keep global temperature increase below 1.5 °C. Enhanced Silicate Weathering (ESW) is a NET with as yet unknown potential to mitigate climate change. There are indications that ESW rates can be amplified by biotic activity, including that of earthworms. Earlier studies have suggested various pathways through which earthworms might enhance weathering rates, including the grinding of minerals in their gizzard, the stimulation of microbial communities in their gut, as well as the production of mucus rich in organic acids and digestive enzymes. Within this research, we aim to unravel the mechanisms through which earthworms increase mineral weathering rates, and ultimately to develop a bio-reactor in which these processes are optimized. As a first step, we carried out two experiments to determine the suitability of two earthworm species and to establish the optimal conditions for earthworms and mineral weathering in a small bio-reactor. The first study tested the potential of two endogeic earthworm species, Aporrectodea caliginosa and Allolobophora chlorotica, in a system with two types of rock flours (dunite and basalt) and three organic sources (hay, straw and co-digestate solid). The results showed that both earthworm species can thrive and remain active in the bio-reactor in the presence of basalt mixed with either co-digestate or straw. In the second study we tested the tolerance of the same two earthworm species to two temperatures exceeding earthworms ambient levels (20°C and 25°C) and two flow rates (50 ml/day and 80 ml/day) in a system with basalt and straw. The results showed that both earthworm species can survive and remain active at the highest temperature level and the highest flow rate. Our findings demonstrate that earthworms are suitable for use in a bio-reactor and can tolerate physical conditions which are known to stimulate weathering. Future studies will elucidate to what extent earthworms can enhance weathering.

How to cite: Calogiuri, T., Garamszegi, P., Vidal, A., van Groenigen, J. W., and Hagens, M.: Can earthworms enhance mineral weathering and thereby increase carbon sequestration? , EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5706, https://doi.org/10.5194/egusphere-egu22-5706, 2022.

EGU22-6069 | Presentations | SSS4.2

Evidence that invasive earthworms promote bacterial-mediated nitrous oxide emissions in forest ecosystems 

Clara Villeneuve, Robert Bradley, and Pascale B. Beauregard

Earthworms are newcomers to South-Eastern Canada, as they were unable to survive the last glaciation period that ended about 11,000 years ago. Since their introduction by Europeans over recent centuries, these exotic earthworm species have substantially affected pedological processes and soil functions. For example, a recent study in the province of Quebec found that earthworms invading native sugar maple (Acer saccharum Marsh.) forests could potentially increase soil nitrous oxide (N2O) emissions by increasing denitrification rates. However, the underlying microbial mechanisms driving the production of this greenhouse gas via denitrification remain unclear. This led us to conduct field and laboratory studies in order to explore whether earthworms preferentially promote bacterial and/or fungal denitrification pathways. We measured earthworm abundance and collected surface mineral soil samples from 38 sugar maple forests, half of which were earthworm-free. In each soil sample, we measured fungal, bacterial and total microbial biomass by substrate-induced respiration, we measured fungal, bacterial and total denitrification by acetylene inhibition, and we quantified the abundance bacterial (nirK, nirS and nosZ) and fungal (P450nor) denitrifying genes by qPCR. Earthworm abundance correlated positively with bacterial as well as fungal biomass, but did not affect the bacterial-to-fungal biomass ratio. Accordingly, bacterial-mediated and fungal-mediated denitrification rates both increased with the abundance of earthworms. However, earthworm abundance correlated positively with the specific bacterial denitrification rate (SBDR = (bacterial-mediated denitrification rate) ÷ (bacterial biomass)), but not with the specific fungal denitrification rate (SFDR = (fungal-mediated denitrification rate) ÷ (fungal biomass)). Moreover, qPCR analyses showed a positive correlation between earthworm abundance and the proportion of all bacterial denitrifying genes in the microbial population, but no such effect on fungal denitrifying genes. Taken collectively, our results suggest that earthworms may increase N2O emissions in sugar maple forest soils by preferentially promoting the bacterial-mediated denitrification pathway.

How to cite: Villeneuve, C., Bradley, R., and Beauregard, P. B.: Evidence that invasive earthworms promote bacterial-mediated nitrous oxide emissions in forest ecosystems, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6069, https://doi.org/10.5194/egusphere-egu22-6069, 2022.

EGU22-10525 | Presentations | SSS4.2

Studying the effect of scarab beetle larvae on soil greenhouse gas fluxes in a mesocosm experiment 

Carolyn-Monika Görres and Claudia Kammann

The arthropod family Scarabaeidae is estimated to consist of over 30,000 species worldwide, including important pests. Their larvae – commonly known as white grubs – are often part of the soil decomposer community feeding on living plant roots, plant residues as well as faeces. As a result, scarab beetle larvae have the potential to directly and indirectly affect the spatial and temporal variability of soil greenhouse gas (GHG) fluxes, especially through their capability to emit significant amounts of CH4. However, due to a lack of field data (Görres & Kammann 2020), little is known about their quantitative impact on soil GHG budgets. We conducted a mesocosm experiment with common cockchafer larvae (Melolontha melolontha) with the twofold aim to better understand their effect on soil CO2, CH4 and N2O fluxes as well as the methodological challenges associated with studying this soil fauna group under field conditions. The experiment was conducted in Germany (temperate zone) over an entire vegetation period in mesocosms with three different vegetation types (grassland, grassland + carrots, and carrots, respectively) and three different larval infestation rates (0, 8, and 16 larvae m-2, respectively). Greenhouse gas flux measurements were conducted with the static chamber method on a monthly basis, including the use of isotopic labels to focus especially on gross soil CH4 fluxes. In this presentation, we will focus on the methodological difficulties encountered during the experiment and the potential of field-based isotope pool dilution techniques for non-invasive studies of scarab beetle larval CH4 emissions.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 703107.

Reference

Görres, C.-M., Kammann, C. (2020). First field estimation of greenhouse gas release from European soil-dwelling Scarabaeidae larvae targeting the genus Melolontha. PLoS ONE 15(8): e0238057, doi 10.1371/journal.pone.0238057.

How to cite: Görres, C.-M. and Kammann, C.: Studying the effect of scarab beetle larvae on soil greenhouse gas fluxes in a mesocosm experiment, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10525, https://doi.org/10.5194/egusphere-egu22-10525, 2022.

Soil fauna can support soil organic matter storage. Important mechanisms facilitation this effect is connected with bioturbation and mixing of organic matter with clay particles which can stimulate accumulation of microbial necromass on mineral surfaces as shown in earthworms. However it has been show that also litter feeding fauna which do not ingest mineral soil may slow down organic matter decomposition and support carbon storage. In this contribution we bring overview of potential mechanisms that may be responsible for this phenomena. Decreased decomposition rate in fauna excrements might result from the removal of easily available polysaccharides, the increase in aliphatic components, an increase in the resistant components of lignin, the accumulation of microbial cell walls (microbial necromass) by increasing of microbial turnover, by binding of nitrogen into complexes with aromatic components, which reduce N availability an finally by higher availability of nitrogen in leachate coming from fauna excrements which may cause negative priming effect and slow down decomposition. These mechanisms will be illustrated on examples and their implication of carbon sequestration will be discussed.

How to cite: Frouz, J.: How litter feeding arthropods can promote carbon sequestration, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11026, https://doi.org/10.5194/egusphere-egu22-11026, 2022.

EGU22-12081 | Presentations | SSS4.2 | Highlight

Protists and protist-microbe interactions in soil chips 

Edith Hammer, Paola Micaela Mafla Endara, Fredrik Klinghammer Nilsson, Hanbang Zou, Julia Duljas, and Pelle Ohlsson

Soil organisms live and interact in the intricate soil pore space labyrinth, but their natural habitat and natural interactions are difficult to study because of the opaqueness of the soil. We recently developed microfluidic model systems that simulate the spatial microstructure of soil microbial habitats in a transparent material, which we call Soil Chips. They allow us to study the impact of soil physical microstructures on microbes, microbial behavior and realistic microbial interactions, live and at the scale of their cells.

Using soil inocula, we get a large proportion of the natural microbial community into our chips and can study soil bacteria, fungi and smaller protists and nematodes in their food webs and in different spatial habitats. We were especially interested in soil protists that are generally understudied in their diversity and ecosystem functions. We were able to observe a large variety of flagellated, ciliated and amoeboid protists in the chips, predating on the bacterial populations and even on fungal hyphae. Some larger amoebae only entered the chips with their pseudopodia for predation. The colonization succession pattern of the chips showed predator-prey oscillations, with periodically high levels of different protists, followed by retreat or encystation. In chips that were containing initially dry pore spaces, colonization success of protists was strongly increased by the presence of fungal hyphae, which paved the way for protists by wetting pore spaces.

The soil chips enable us to study the influence of trophic interactions such as the presence of predators on bacterial and fungal nutrient cycling. Disturbances that stronger influence protists than bacteria may have a pronounced effect on bacterial population sizes and their organic matter degradation activities. Beyond the scientific potential, the chips can also bring soils closer to people and hopefully increase engagement in soil health conservation.

How to cite: Hammer, E., Mafla Endara, P. M., Klinghammer Nilsson, F., Zou, H., Duljas, J., and Ohlsson, P.: Protists and protist-microbe interactions in soil chips, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12081, https://doi.org/10.5194/egusphere-egu22-12081, 2022.

EGU22-13352 | Presentations | SSS4.2

Distinct patterns of change of organic matter in bulk soil or in earthworm casts during ageing 

Katell Quenea, Naoise Nunan, Thomas Lerch, Claire Chenu, Emmanuel Aubry, Valerie Pouteau, Cedric Plessis, and Julie Leloup

Earthworm activities in soil generate biogenic aggregates (casts), the mass of which can reach up to 30 - 50t/ha. The dynamics of organic matter (OM) is strongly constrained (accessibility, O2 content, etc.) within these structures and they tend to have high OM contents. As a result of their large mass and high OM contents, these aggregates can have significant effects on OM dynamics and protection over distinct time scales: (i) over the short term, earthworms increase OM mineralization through their own metabolic processes and by stimulating soil microbial activity, the so-called priming effect; (ii) over longer terms, during cast ageing, a new equilibrium may be reached, leading to the protection of the incorporated OM. However few incubation studies have been conducted for more than three months. Consequently, the net influence of earthworm’s casts on the OM dynamics is still poorly understood and remains to be determined.

Our objective was to estimate whether the incorporation of fresh OM into casts leads to its protection or to an enhanced degradation during the period of cast ageing. To do so, we compared the fate of 13C labeled fresh OM added to bulk soil to the fate of fresh OM ingested by earthworms (L. Terrestris) in mesocosms, and monitored OM mineralization during one year. The incorporation of fresh OM into casts was also determined as were the microbial communities involved in the consumption of labelled OM (via 13C-phospholipid fatty acid analysis). In addition, the OM stability was estimated as the proportion of mineral associated.

The results showed that fresh OM was largely incorporated into casts, with significant differences in the mineralization rates obtained for the OM incorporated into the soil, compared with that incorporated into the casts. This difference decreased over time, as the casts aged. Fungal activity was lower when OM was incorporated in casts. In conclusion, earthworms influence the fate of fresh OM in soil by delaying its mineralization but do not lead to long-term stabilization.

How to cite: Quenea, K., Nunan, N., Lerch, T., Chenu, C., Aubry, E., Pouteau, V., Plessis, C., and Leloup, J.: Distinct patterns of change of organic matter in bulk soil or in earthworm casts during ageing, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13352, https://doi.org/10.5194/egusphere-egu22-13352, 2022.

EGU22-13417 | Presentations | SSS4.2

Through which pathways can earthworms increase soil phosphorus availability? 

Jan Willem Van Groenigen, Hannah M.J. Vos, Tjisse Hiemstra, and Gerwin F. Koopsman

In the search for a more sustainable form of agriculture, a better recycling of major nutrients is essential. For phosphorus (P), one of the most limiting factors to better recycling is chemical adsorption to reactive soil particles, which seriously restricts P supply to plants in many soils. It has been known for some time that earthworms can temporarily increase soil P availability in their casts. However, the exact pathways behind this effect are unclear, making it difficult to infer under which conditions earthworms may significantly contribute to P recycling. In two greenhouse experiments, we studied the occurrence of earthworm-induced increased P availability (i) across a range of common earthworm species; and (ii) across four soils with different physico-chemical characteristics. In the first experiment we analyzed casts of eight common Dutch earthworm species for P pools and related soil properties. For all species, pH in casts was higher than in the bulk soil (up to 1.6 pH unit). Dissolved Organic Carbon (DOC) concentrations were an order of magnitude higher in the casts, and directly available P (defined as water-soluble ortho-phosphate) up to two orders of magnitude. Although these effects were significant for all earthworm species, significant changes were found between the species that could not be explained by conventional earthworm feeding guilds. In the second experiment, we tested effects of three different earthworm species across four soils differing in texture, metal oxide composition, P availabilty and pH. We found a significant effect of earthworms on P availability in all soils, but the extent of this effect varied. Using surface complexation modeling we evaluated the relative importance of the various possible mechanisms. We concluded that the effect of pH on P desorption was relatively small. Increased mineralization of organic P did play an important role; as did competitive desorption of DOC to metal oxides. However, our study also showed a new important pathway: a reduction in reactive surface area of soil metal (hydr)oxides during earthworm gut passage. As this decrease was important in iron (hydr)oxide-dominated soils but not in aluminum (hydr)oxide-dominated soils, we suggest that earthworms have the largest potential to affect soil P availability in the former soils.

How to cite: Van Groenigen, J. W., Vos, H. M. J., Hiemstra, T., and Koopsman, G. F.: Through which pathways can earthworms increase soil phosphorus availability?, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13417, https://doi.org/10.5194/egusphere-egu22-13417, 2022.

EGU22-13493 | Presentations | SSS4.2

Aligning earthworm activity and microbial necromass formation in mineral soil 

Gerrit Angst, Jan Frouz, Jan Willem van Groenigen, Stefan Scheu, Ingrid Kögel-Knabner, and Nico Eisenhauer

Microbial necromass is regarded as a central pool of soil organic carbon, whose management is critical in efforts to reduce atmospheric CO2 concentrations and mitigate climate change. However, recent concepts on soil organic matter formation have ignored one of the most important factors for the formation and stabilization of microbial necromass in many soils: earthworms. Based on recent evidence, we conceptualize how the ingestion and mixing of mineral particles and organic matter by earthworms temporarily convert the egested soil to a hotspot of quick and efficient microbial growth and turnover, in which increased amounts of necromass tightly bind to mineral surfaces and stabilize within aggregates. We further stress the low dependence of this process on the quality of pre-existing soil organic matter (in contrast to the assumptions of recent concepts) and its high relevance to the resilience of soil carbon to external disturbances in extensive regions of the soil remote from classical hotspots of microbial necromass formation. We finally provide suggestions on how to close remaining research gaps.

How to cite: Angst, G., Frouz, J., van Groenigen, J. W., Scheu, S., Kögel-Knabner, I., and Eisenhauer, N.: Aligning earthworm activity and microbial necromass formation in mineral soil, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13493, https://doi.org/10.5194/egusphere-egu22-13493, 2022.

EGU22-419 | Presentations | SSS4.4

Unexpected movements of earthworms between tree rows and crop alleys in a Mediterranean agroforestry site 

Camille D'Hervilly, Isabelle Bertrand, Laurent Berlioz, Lydie Dufour, and Claire Marsden

In alley cropping sites, parallel tree rows covered with herbaceous vegetation are added into cropped fields. These tree rows provide an additional habitat for many soil organisms in plots that are usually low in biodiversity. Previous studies showed that tree rows present a higher diversity and higher densities of soil fauna compared to the crop alleys. However, it is not sure that the crop alleys really benefit from the presence of additional fauna in the tree rows. A possible benefit could come from a dispersal of soil fauna hosted in the tree rows towards the crop alleys during favorable periods of time, but such movements have never been investigated. Our experiment investigated the movement of earthworms in tree rows vicinity in a Mediterranean alley cropping field planted with walnut trees, in which crop alleys were ploughed and cultivated with pea. Traps, consisting of three joined plastic walls sunk vertically into the soil and delimiting a cubic 25*25 cm wide soil block of 15 cm depth were placed at 30 cm from the tree row border in March 2019. These traps were opened on one side, allowing soil fauna entrance either from the tree row or from the crop alley, and defaunated at trap implementation (5 replications). Traps were removed 2 months after the beginning of the experiment and earthworm density determined by manual sorting. In addition, the plot was sampled at different distances from the tree row (0 m, 0.3 m, 1 m and 6 m i.e. in the middle of the crop alley) for earthworm density determination in 25*25*30 cm soil blocks at trap implementation and removal. Results showed that the distribution of epigeic earthworms (living at the soil surface) vary with the distance from the tree row, with more individuals found in the tree row and in its immediate vicinity than in the middle of the crop alley, while endogeic earthworms (living in the soil) presented no significant variation in their distribution with the distance from the tree row. Traps were mostly recolonized by endogeic earthworms, and significantly more earthworms were found in traps opened towards the crop alley than in traps opened towards the tree row. These results suggest than Spring was not a favorable season for earthworm dispersal from the tree row in this site, and that earthworms more probably used the tree row and its vicinity as a refuge against adverse conditions in the crop alley. This type of experiment should be repeated at other seasons, and with varying management practices of the crop alley, as different conditions could induce different movements.

How to cite: D'Hervilly, C., Bertrand, I., Berlioz, L., Dufour, L., and Marsden, C.: Unexpected movements of earthworms between tree rows and crop alleys in a Mediterranean agroforestry site, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-419, https://doi.org/10.5194/egusphere-egu22-419, 2022.

EGU22-1020 | Presentations | SSS4.4

Effect of soil microorganisms on organic carbon sequestrationindifferent soil landscapes of the Ouargla’s basin 

Maria Nour El Houda Bensayah, Mokhtar Karabi, Baelhadj Hamdi Aissa, and Ismaiel Berkal

The objective of this work is to study the effect of microorganisms on carbon sequestration in
different soil landscapes of Ouargla’s basin. Ouargla is part of the arid zones of the Algerian
Sahara, which is characterized by high temperatures, low and irregular precipitation, sparse
vegetation and soils poor in organic matter. However, the soil remains a favorable environment
for macros and microorganisms which tolerates this deficit. The soil provides ecosystem services
to these environments by protecting natural resources. Microbial biomass, which represents on
average 2 to 4% of organic carbon, is involved in renewing organic matter in the soil. For this
study, 7 stations of different pedo- sequences were chosen. After collection, the samples
underwent microbiological analyzes for enumeration of bacteria and fungi, fumigation-extraction
and physicochemical analyzes. The enumeration of the main microbial groups in bacteria and
fungi showed the predominance of bacterial microflora, followed by fungal microflora at higher
values in cultivated soil and those of Sebkhat. The identification of fungal species according to the
determination keys allowed us to identify the following species: Alternaria alternata, Rizopus sp
and Aspergillus niger, as well as yeasts. The microbial carbon values show that this parameter is
higher in Sebkhat N’Goussa, gypsum soil in Frane and in cultivated soil. These are the stations
where high values of organic carbon and organic matter are recorded. We can say that
microorganisms play an important role in carbon sequestration. They mineralize microbial
residues and provide carbon to the stable organic matter fraction of the soil. 

 


Key words: carbon sequestration, ecosystem service, microbial carbon, organic carbon, Ouargla.

How to cite: Bensayah, M. N. E. H., Karabi, M., Hamdi Aissa, B., and Berkal, I.: Effect of soil microorganisms on organic carbon sequestrationindifferent soil landscapes of the Ouargla’s basin, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1020, https://doi.org/10.5194/egusphere-egu22-1020, 2022.

Reducing chemical fertilizers and agricultural residues substitution is a feasible practice to develop sustainable agriculture. However, there is a lack of evaluation on the ecosystem functioning and services of different reducing chemical fertilizers and agricultural residues substitution practices, as well as the roles of soil micro-food webs in sustainable agriculture. Here, we evaluated changes in crop yields, soil physico-chemical properties, soil micro-food web assembly, and ecosystem multifunctionality, and the contribution of soil micro-food web assembly to ecosystem multifunctionality under six long-term fertilization treatments: no fertilizer control, conventional chemical NPK fertilizers, and the reducing chemical NPK fertilizers and low- (30%) or high- (60%) levels of agricultural residues (i.e., straw or cattle manure) substitution. Our results showed that the reducing chemical fertilizers and agricultural residues substitution practices can maintain crop yields and improve soil fertility compared with chemical fertilizers application alone. The improvement of soil micro-food web was more obvious with the reducing chemical fertilizers and agricultural residues substitution practices, such as increased soil bacterial biomass, maintained soil biodiversity, and mitigated the negative effects of long-term chemical fertilizers application alone on soil micro-food web. More importantly, maintaining soil bacterial biomass, especiallly the beneficial microorganisms (e.g., Proteobacteria and Firmicutes), and bacterivorous nematode abundance is primarily important in  maintaining ecosystem multifunctionality. Overall, the reducing chemical fertilizers and agricultural residues substitution practices improved agroecosystem functioning and services and contributed to sustainable agriculture. 

How to cite: Zhao, J., Li, J., and Wang, K.: Linkages between soil micro-food webs and agroecosystem multifunctionality under organic and/or inorganic fertilization, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1397, https://doi.org/10.5194/egusphere-egu22-1397, 2022.

EGU22-1400 | Presentations | SSS4.4

Biogeographic patterns and drivers of soil virosphere across the globe 

Bin Ma, Yiling Wang, and Jianming Xu

Soil microbes play a crucial role in terrestrial ecosystem biogeochemical cycling1 and understanding microbial biogeography has provided fundamental information to predict ecosystem function2. In contrast, the biogeography of soil viromes has been largely overlooked, even though viruses are key mediators of the soil microbiome and its function3. Here, we introduce the Global Soil Virome (GSV) dataset, the most comprehensive soil virus dataset to date, and present an overview of global biogeographic patterns and drivers of soil viromes. A total of 345,607 double stranded DNA partial viral genomes, of which 97.2% were unknown viral taxa, were assembled from 1,873 deeply sequenced soil metagenomes across the globe. We observed soil virome endemism across continents and plant biomes which were shaped by dispersal limitation and soil moisture. Unlike the scale-free pattern of most biological co-occurrence networks4,5, we found that the degree distribution of the global soil virus co-occurrence network has a random pattern. The GSV dataset provides a critical resource for elucidating soil viral diversity and host-virus interactions; it provides in-depth insight into ecological processes that determine soil viral diversity.

How to cite: Ma, B., Wang, Y., and Xu, J.: Biogeographic patterns and drivers of soil virosphere across the globe, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1400, https://doi.org/10.5194/egusphere-egu22-1400, 2022.

EGU22-1946 | Presentations | SSS4.4

Conservation tillage and soil biodiversity in the black soil region of northeast China: results from a long-term tillage trial 

Shixiu Zhang, Liang Chang, Xuewen Chen, Yan Zhang, Xueming Yang, Shuxia Jia, and Aizhen Liang

Conservation tillage has become the core technology to conquer the degradation of black soil, the ‘giant panda in arable land’. Since soil is a home to a variety of organisms, it is very important to regard soil as a living system to evaluate the impact of conservation tillage on the health of black soil. Therefore, based on the long-term conservation tillage trial established by the Key Laboratory of Mollisols Agroecology of the Chinese Academy of Sciences, the responses of soil biodiversity and its function to conservation tillage were comprehensively elucidated in this study. Compared with conventional tillage, conservation tillage strongly improved the species richness (1-8%), density (25-57%), and biomass (30-50%) of the entire soil assemblages, including microorganisms, nematodes, collembolans, mites and earthworms, as well as the connectance of soil food web (14-32%). Furthermore, conservation tillage promotes the performance of soil biotic function in soil structure formation, soil carbon sequestration and nitrogen efficient utilization and crop yield stability. These results suggest that conservation tillage can effectively utilize the functional potential of soil organisms, which is of great significance to supporting the healthy and sustainable development of agriculture in the black soil region of northeast China.

How to cite: Zhang, S., Chang, L., Chen, X., Zhang, Y., Yang, X., Jia, S., and Liang, A.: Conservation tillage and soil biodiversity in the black soil region of northeast China: results from a long-term tillage trial, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1946, https://doi.org/10.5194/egusphere-egu22-1946, 2022.

EGU22-2153 | Presentations | SSS4.4

Nutrient enrichment reduces soil multidiversity and multifunctionality in an alpine meadow 

Zhengkun Hu, Xiaoyun Chen, Feng Hu, and Manqiang Liu

Anthropogenic activities have profoundly increased the nutrient inputs into soil through inorganic nitrogen (N) and phosphorus (P) fertilization and atmospheric deposition over recent decades. In grasslands, nutrient enrichment is one of the most important global change factors affecting a range of ecosystem functions and services. Nutrient enrichment promotes some functions such as plant production, but at the cost of other ecosystem functions, which may obscure the net effects on multiple ecosystem functions (i.e., ecosystem multifunctionality). In particular, nutrient enrichment can strongly reduce above- and below-ground biodiversity, which might threaten ecosystem services that delivered by biodiversity. However, our understanding of the importance of soil biota as a component of nutrient-enrichment effects on ecosystem multifunctionality is still limited.

Taking advantages of a long-term field study and a controlled microcosm experiment, we explored whether and how nutrient enrichment affects ecosystem multifunctionality in a Tibetan alpine meadow. The diversity of soil biota across multiple trophic, including bacteria, fungi, protists and nematodes for two consecutive years were investigated from a 13-year field experiment under a gradient of N and P enrichment. A total of 14 ecosystem functions that are influenced by soil biota were measured and were grouped into five categories: (1) nutrient cycling, (2) SOM decomposition, (3) carbon and nutrient cycling drivers, (4) soil structure, and (5) pest control. To generate a comprehensive understanding of the biodiversity-ecosystem-function relationship under nutrient enrichment, a microcosm inoculation experiment using the dilution-to-extinction approach was conducted with soil samples with or without nutrient enrichment.

Our results showed that nutrient enrichment weakened multifunctionality by reducing the multidiversity across soil food webs. Specially, soil biodiversity at higher trophic levels (e.g., microbivorous nematode) supported a greater number of ecosystem functions at high levels of functioning than those of lower trophic levels, such as bacteria and fungi. Microcosm experiment further demonstrated that nutrient enrichment weakened the relationships between soil biodiversity and ecosystem multifunctionality. Together, our results provide insight into the importance of soil biodiversity for maintaining soil multifunctionality under nutrient enrichment, as well as providing strong support for inclusion of multiple aspects of soil biodiversity in conservation and management policies under global change scenarios.

How to cite: Hu, Z., Chen, X., Hu, F., and Liu, M.: Nutrient enrichment reduces soil multidiversity and multifunctionality in an alpine meadow, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2153, https://doi.org/10.5194/egusphere-egu22-2153, 2022.

EGU22-2267 | Presentations | SSS4.4

Global monitoring of soil animal communities using a common methodology 

Anton Potapov and the Soil BON Foodweb Team

Soils host approximately 50% of the biomass and a major part of the diversity of animals on land. However, large-scale data that link soil animal diversity with ecosystem functions is limited to few regional studies, hampering our understanding of soil animal contribution to global biogeochemistry. Besides, global abiotic and biotic drivers and assembly processes in soil animal communities and food webs have not been comprehensively assessed. Here we introduce Soil BON Foodweb Team (SBF Team), a novel international voluntary initiative that addresses these gaps by a standardized global assessment of soil animal communities across micro-, meso-, and macrofauna. By sampling Soil BON sites (https://www.globalsoilbiodiversity.org/soilbon), this initiative is the first to link soil animal communities across the size spectrum to a range of soil functions worldwide. At present the initiative includes soil ecologists from 15+ countries covering all continents. We intend to expand the network and conduct the first sampling campaign in 2022 covering a minimum of 200 sampling sites globally. We are welcome for researchers especially from underrepresented countries. Jointly, we will be able to produce unprecedented data to address exciting and challenging questions and establish a global collaboration network for soil animal diversity monitoring and future joint work.

How to cite: Potapov, A. and the Soil BON Foodweb Team: Global monitoring of soil animal communities using a common methodology, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2267, https://doi.org/10.5194/egusphere-egu22-2267, 2022.

EGU22-2756 | Presentations | SSS4.4

Quantitative indicators and functional diversity of soil microbial communities in the Russian Arctic cities 

Maria Korneykova, Dmitriy Nikitin, Viacheslav Vasenev, and Andrey Dolgikh

Soil microbial properties are highly sensitive to anthropogenic disturbance and a considerable impact of urbanization on soil microbial activity and diversity was reported for various cities and climates. The quantitative parameters of the soils’ microbiome in Arctic cities including the structure of microbial biomass and the number of ribosomal genes remain overlooked. This research aimed to compare quantitative indicators, as well as the functional diversity of soil microbial communities in the Arctic cities of Murmansk and Apatity located on the Kola Peninsula.

Murmansk (68.967 N, 33.083 E) is the biggest Arctic city in the world, located in the natural zone of the forest-tundra. Apatity (67.5°N, 33.4°E) is the fifth largest city in polar zone, located in the northern taiga zone.

Samples were collected from the topsoil horizons according to the standard sampling procedure with possible measures to prevent contamination. Quantitative assessment of the content of ribosomal genes of bacteria, archaea, and fungi was performed by real-time polymerase chain reaction (PCR). The prokaryotes and fungal biomass were determined by luminescence microscopy method. Community level physiological profiling (CLPP) was based on MicroRespТМ approach using substrates representing C sources of different quality: amino acids, carbohydrates, carboxylic and phenolic acid.

The number of archaea was an order of magnitude higher in Murmansk (predominantly 1010 of 16s rRNA genes/g soil) than in Apatity (predominantly 109 of 16s rRNA genes/g soil); the number of 16s rRNA genes copies of bacteria was an order of magnitude lower in Murmansk (109-1010) compared to Apatity; the number of copies of the ITS rRNA genes of fungi was the same for both locations - 109 on average.

The biomass of prokaryotes was 5 times higher in Murmansk (5-25 μg/g soil) compared to Apatity (1-6 μg/g soil); the fungal biomass was 3.3 times higher in Murmansk (50-1000 μg/g soil) than in Apatity (40-300 μg/g soil). The length of the mycelium of actinomycetes in the soils of Murmansk (1-100 m/g of soil) was an order of magnitude higher than that in Apatity (0-10 m/g of soil); the length of the fungal mycelium was 3.5 times longer in Murmansk (10-600 m/g of soil) than in Apatity (0-170 m/g of soil).

Soil microbial communities in Arctic cities had a similar physiological profile. Groups of microorganisms consuming carbohydrates and carboxylic acids prevailed. The soils of both cities contained microorganisms capable of decomposing complex organic compounds with a benzene ring, such as phenolic acids (vanillic and lilac), which indicates the potential for the destruction of difficult-to-decompose  substances.

Thus, soil microbial communities in Arctic cities differ to a greater extent in quantitative parameters than in qualitative ones (on example of functional diversity). Probably, the quantitative parameters are more influenced by microclimatic conditions, type of vegetation, level of anthropogenic load, etc.

Acknowledgements This research was supported by RFBR #19-29-05187 and RUDN University Strategic Academic Leadership Program.

How to cite: Korneykova, M., Nikitin, D., Vasenev, V., and Dolgikh, A.: Quantitative indicators and functional diversity of soil microbial communities in the Russian Arctic cities, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2756, https://doi.org/10.5194/egusphere-egu22-2756, 2022.

    Grassland ecosystems worldwide are facing habitat degraded due to human activities. Although it is commonly proposed that livestock can have negative repercussions for multiple ecosystem functions in degraded grasslands, this question has yet to receive explicit scientific attention. We used a 3-year field-manipulated grazing experiment, including livestock grazing by sheep across three grasslands with different levels of degradation to evaluate the role of large herbivore in regulating soil nematodes and ecosystem multifunctionality. Our findings reveal the context dependency of this role in grassland degradation. We show that livestock show higher levels of soil nematode biomass and ecosystem multifunctionality than lightly degraded grassland with enclosure, and facilitate soil nematode diversity and maintain ecosystem multifunctionality in moderately and severely degraded grasslands. We propose that moderate herbivore grazing should be considered as nature-based solutions to improve and maintain both soil nematodes and ecosystem multifunctionality in degraded grasslands. The information is fundamental for improving nature’s benefits to people and considering conservation efforts of grassland restoration.

How to cite: Yang, J., Wu, D., and Wang, D.: Proper grazing is nature-based solutions to restore soil nematodes and ecosystem multifunctionality in degraded grasslands, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3485, https://doi.org/10.5194/egusphere-egu22-3485, 2022.

EGU22-3500 | Presentations | SSS4.4

Effects of soil biodiversity on soil multifunctionality after 5-year organic substitutions in a Maize field 

Xiao fang Du, Han wen Liu, Ying bin Li, Xiao ke Zhang, and Wen ju Liang

Organic substitution can benefit to enhance soil health and maintain sustainable food production. Soil organisms play important roles in decomposing organic matter, recycling soil nutrients and resisting pests and diseases. However, the effect of soil biodiversity on soil multifunctionality of farmland ecosystem under organic substitution is still unclear. Here, we studied the shifts of soil biotic communities and soil multifunctionality (functions related with C, nutrient cycling and crop yield), and investigated soil biotic diversity-ecosystem function relationship under a 5-year field organic substitution experiment (30% nitrogen fertilizer substitute with straw, cattle manure and biochar, respectively). Our results showed that the highest value of soil multifunctionality was found in straw substitution treatment. Soil nematode community composition significantly associated with soil multifunctionality. We used structural equation modelling to identify the effects of soil biotic diversities and composition on multifunctionality. The SEM model predicted 74% of the variation in soil multifunctionality, and found that nematode community composition directly drove soil multifunctionality, whereas organic substitution and bacterial community composition could indirectly affect soil multifunctionality by changing soil nematode community. Our study has important implications for the contribution of soil biodiversity in driving multifunctionality of farmland ecosystem and for maintaining the sustainable development of agriculture.

How to cite: Du, X. F., Liu, H. W., Li, Y. B., Zhang, X. K., and Liang, W. J.: Effects of soil biodiversity on soil multifunctionality after 5-year organic substitutions in a Maize field, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3500, https://doi.org/10.5194/egusphere-egu22-3500, 2022.

EGU22-3548 | Presentations | SSS4.4

Soil inoculation improves ecosystem function in degraded grasslands 

Yu Hui Li, Xu Han, Ying bin Li, Qi Li, and Martijn Bezemer

The improvement and protection of ecosystem function are important in the restoration of grassland ecosystem, especially in degraded grasslands. Soil inoculation provides an effective way for the restoration of degraded ecosystems. Here we conducted a field soil inoculation experiment and selected two well-developed soils (meadow steppe and upland meadow) to transplant them into degraded grasslands at three inoculation amounts (0.01 m3, 0.03 m3 and 0.05 m3 per square meter). After three years of soil inoculation, we assessed the ecosystem multifunctionality (including plant productivity, and functions related to nutrient cycling) of different treatments with different identity and amount of soil inoculation. Principal co-ordinates analysis suggested that different identity of soil inoculum resulted in different development of soil fungal and bacterial communities. Ecosystem multifunctionality was significantly improved with the increase of soil inoculation amounts. Spearman’s correlation analysis showed a positive association between ecosystem multifunctionality and soil fungal richness, plant cover, and the amount of soil inoculation. Our results indicate that soil inoculation can enhance ecosystem multifunctionality by affecting the soil biotic and plant communities. Our finding has important implications for better restoration of biodiversity and ecosystem functioning in degraded grassland ecosystems.

How to cite: Li, Y. H., Han, X., Li, Y. B., Li, Q., and Bezemer, M.: Soil inoculation improves ecosystem function in degraded grasslands, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3548, https://doi.org/10.5194/egusphere-egu22-3548, 2022.

EGU22-3795 | Presentations | SSS4.4

Microbiological and agrochemical characteristics of abandoned agricultural soils of central part of Yamal region 

Evgeny Abakumov, Timur Nizamutdinov, and Eugenia Morgun

The microbiological and agrochemical parameters of the soils of fallow (abandoned), active agroecosystems and background (benchmark) landscapes of the Yamalo-Nenets Autonomous Region were studied. The soils of vegetable gardens (the setllements of Muzhi, Nadym, Tovopogol, Polyarny, Seyakha), the soils of parks, recreational and industrial zones and archaeological monuments (the cities of Nadym, Labytnangi, Salekhard, Novy Urengoy) were studied. The morphological and taxonomic diversity of natural and agro-soils of the key plots of the study has been established. The key chemical and soil-hydrophical differences of agrozems and agro-soils from natural background soils are revealed. The parameters of the alpha and beta diversity of the soil microbial community were studied by new generation sequencing methods. The phylums of microorganisms common to all the studied soils and those phylums that are characteristic of agrogenic soils are revealed. In some cases, there is an increase in the parameters of biodiversity in agrogenic soils in comparison with to natural ones, which indicates the diversification of edaphic ecological niches. The parameters of the metabolic dynamics of the microbial community under the conditions of chemical contamination of cryogenic soils are established. Ecotoxicological studies of soils of urbanized ecosystems of a number of settlements of the Yamalo-Nenets Autonomous Regions were carried out, even in terms of assessing ecosystem services of soils. A structure has been created and a database has been partially filled, including information on the localization, diversity, current state and use of agrogenic soils in the region.

This work was supported by Russian Foundation for Basic Research, project No 19-416-890002

How to cite: Abakumov, E., Nizamutdinov, T., and Morgun, E.: Microbiological and agrochemical characteristics of abandoned agricultural soils of central part of Yamal region, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3795, https://doi.org/10.5194/egusphere-egu22-3795, 2022.

EGU22-3923 | Presentations | SSS4.4

Multifunctionality of belowground food webs 

Anton Potapov

Belowground consumers create complex food webs that regulate functioning, ensure stability and support biodiversity both below and above ground. However, existing soil food-web reconstructions do not match recently accumulated empirical evidence and there is no comprehensive reproducible approach that accounts for the complex resource, size and spatial structure of food webs in soil. I build on generic food-web organization principles and use multifunctional classification of soil protists, invertebrates and vertebrates, to reconstruct “multichannel” food-web across size classes of soil-associated consumers. I then use food-web reconstruction, together with assimilation efficiencies, to calculate energy fluxes assuming a steady-state energetic system. Based on energy fluxes, I describe a number of indicators, related to stability, biodiversity and multiple ecosystem-level functions such as herbivory, top-down control, translocation and transformation of organic matter. The multichannel reconstruction can be used to assess trophic multifunctionality (analogous to ecosystem multifunctionality), i.e. simultaneous support of multiple trophic functions by the food-web, and compare it across communities and ecosystems spanning beyond the soil. With further validation and parametrization, the multichannel reconstruction approach provides an effective tool for understanding and analysing soil food webs. I believe that having this tool will inspire more people to comprehensively describe soil communities and belowground-aboveground interactions. Such studies will provide informative indicators for including consumers as active agents in biogeochemical models, not only locally but also on regional and global scales.

How to cite: Potapov, A.: Multifunctionality of belowground food webs, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3923, https://doi.org/10.5194/egusphere-egu22-3923, 2022.

EGU22-5532 | Presentations | SSS4.4

Effect of the addition of organic amendments to C-poor agricultural soils on soil resistance against drought 

Laura Morales, María Teresa Domínguez, and Elena Fernández-Boy

Climate change´s effect on soil functioning is a major concern in the Mediterranean basin, where rainfall will be likely reduced by 30% by the end of the century. Soil organic matter contributes to water balance by improving soil structure and aggregate stability, increasing water infiltration and holding capacity. Therefore, C-poor soils, as agricultural soils, might be more vulnerable to drought conditions. The addition of organic amendments increases soil organic matter and improves soil properties. The quality of the added substrate may determine soil microbial community structure and activity, which can also influence soil response to drought. The main objective was to evaluate the effect of the application of organic amendments with different quality (as indicated by their C:N ratio) on soil properties, plant development, and the resistance of soil functioning against simulated drought conditions. Hypothetically, the addition of a substrate with a high C:N ratio favours fungal dominance within the soil microbial community, which is usually related to a higher soil resistance.

An experiment was carried out in pot mesocosms under greenhouse conditions. Four organic substrates in a C:N ratio range were selected: 1) leonardite (LE, C:N = 57,8); 2) earthworm humus (HU, C:N = 15,6); 3) biosolid compost (BC, C:N = 8,8); and 4) dry biomass of Vicia faba (VF, C:N = 10,2). Their effect was compared with a non-amended control (NA). After amendment application, seeds of Lolium rigidum and Medicago polymorpha were sown, and a drought treatment was established. Half of the replicates received a 30 % less water supply, belonging to the drought treatment (DR), compared to the control (CT). The factorial experimental design resulted in 10 treatments with 10 replicates per treatment. A base-line soil sampling was done before the establishment of the drought treatment and repeated after 30 days, analysing soil biological properties (microbial biomass, enzyme activities, soil respiration rate). Soil moisture in the upper 5 cm was periodically measured.

Amendment addition improved some of the microbial activity indices in relation to non-amended soils, such as N-acetylglucosaminidase activity (in all the amended soils) and dehydrogenase activity (in HU and VF). Microbial biomass was greatly increased by amendment application (80 % increase). BC was the most efficient in improving soil water availability (32% higher than in NA), showing no significant differences in soil moisture between DR and CT. BC and VF amendments significantly reduced L. rigidum germination rate, and drought conditions significantly reduced plant growth compared to the control. However, by the end of the experiment, L. rigidum biomass in both treatments was higher than in the other treatments. M. polymorpha germination rate was also reduced in BC and VF, but only in LE drought conditions significantly affected plant development. Despite this, the simulated drought conditions did not result in a significant change in any of the soil functioning variables measured. In conclusion, organic amendments enhanced soil microbial activity in a C-poor agricultural soil but did not clearly improve soil response to a simulated drought event.

How to cite: Morales, L., Domínguez, M. T., and Fernández-Boy, E.: Effect of the addition of organic amendments to C-poor agricultural soils on soil resistance against drought, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5532, https://doi.org/10.5194/egusphere-egu22-5532, 2022.

Microbial taxonomic diversity is considered as one of the crucial factors responsible for the sustainable functioning of soil systems. However, it is still unclear to what extent microbial taxonomic diversity reflects its functional diversity. In this study, we compared taxonomic and functional diversity of the soil microbiome in a few natural and agricultural ecosystems.
Soil samples were collected three times (April, July, and October) from grassland, deciduous forest, and three agricultural ecosystems (no fertilizers, NPK, cattle manure). We applied high-throughput sequencing on the Illumina MiSeq platform using a combination of multiple DNA metabarcoding markers and characterized soil prokaryotic (16S rRNA gene: bacteria and archaea) and eukaryotic (ITS2 to target fungi; 18S rRNA gene to target protists) communities. Community-level physiological profiles of the soil microbiomes were analyzed using Biolog Ecoplates to assess functional diversity of heterotrophic microorganisms.
All five soils differed significantly from each other in the taxonomic composition of the bacteriome, the mycobiome, and the protistome. The forest soil microbiome was characterized by the higher relative abundances of Verrucomicrobia, Agaricomycetes, Apicomplexa, and Mesomycetozoa. Proteobacteria, Acidobacteria, Sordariomyces, Cercozoa, and Ochrophyta were the dominant taxa in the agricultural soils. Surprisingly, taxonomic diversity of the bacteriome, the mycobiome, and the protistome in forest soil was significantly lower compared to the agricultural soils (except the NPK treatment). Differences in microbial physiological profiles between distinct ecosystems were much lower than those in taxonomic diversity. The forest soil microbiome was characterized by the highest physiological activity and plasticity, especially for amines and phenolic compounds. Our findings suggest that lower microbial taxonomic diversity does not necessarily result in lower functional diversity of the soil microbiome.

This research was supported by the Russian Science Foundation, Project No 21-76-10025.

How to cite: Semenov, M., Krasnov, G., Ksenofontova, N., and Nikitin, D.: Higher taxonomic diversity of protists, fungi and bacteria, but lower functional diversity in soils of agricultural ecosystems compared to a deciduous forest, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6520, https://doi.org/10.5194/egusphere-egu22-6520, 2022.

EGU22-6933 | Presentations | SSS4.4

Towards creating the first European Atlas of Soil Fauna 

Jérôme Cortet, Maria Tsiafouli, Paul-Henning Krogh, and David Russel

The protection of soil biodiversity is essential for ensuring soil functioning and provisioning of related ecosystem services, but also the conservation of species per se. For this purpose, it is essential to know what soil organism is where and how it is influenced by environmental, climate and human activities. 

Numerous studies (there are over 1400 published articles) have been elaborated in Europe regarding soil fauna. A data platform to store data on soil fauna already exists and is currently under further development to become a pan-European data warehouse for soil biodiversity (https://www.eudaphobase.eu/). Though, the data stored in this database until now comprises only a small percent of the available data. Hence, it is evident that a compiled dataset providing an overall understanding of the distribution of several taxa across European biomes and under different land use still is missing.

Attempting to fill this gap, we start a new initiative within the framework of the Cost Action EUdaphobase CA18237: the creation of the first European Atlas of Soil Fauna.  We aim to map, summarize and upscale the current knowledge on soil fauna to help in providing support to the scientific community and directions to stakeholders and policymakers. We seek collaboration (data holders and experts) to identify, collect and analyze data of all groups of micro-, meso- and macrofauna in Europe. 

This presentation will focus on the aims of this initiative and the way we plan to collect data and involve people.

How to cite: Cortet, J., Tsiafouli, M., Krogh, P.-H., and Russel, D.: Towards creating the first European Atlas of Soil Fauna, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6933, https://doi.org/10.5194/egusphere-egu22-6933, 2022.

EGU22-8252 | Presentations | SSS4.4

Evidence of ecological critical slowing-down in temperate soils 

fiona fraser, Ronald Corstanje, Lindsay Todman, Diana Bello-Curás, Gary Bending, Lynda Deeks, Jim Harris, Sally Hilton, Mark Pawlett, Joanna Zawadzka, Andrew Whitmore, and Karl Ritz

The resilience of ecological systems is crucially important, particularly in the context of climate change. We present experimental evidence of critical slowing-down arising from perturbation of a key function in a complex ecosystem, exemplified by soil. Different behavioural classes in soil respiratory patterns were detected in response to repeated drying:rewetting cycles. We characterised these as adaptive, resilient, fragile or non-resilient. The latter involved increasing erratic behaviour (i.e. increasing variance), and the propagation of such behaviour (i.e. autocorrelation), interpreted as a critical slowing-down of the observed function. Soil microbial phenotype and land-use were predominantly related to variance and autocorrelation respectively. No relationship was found between biodiversity and resilience, but the ability of a community to be compositionally flexible rather than biodiversity per se appeared to be key to retaining system function. These data were used to map the extent to which soils are close to crossing into alternative stable states at a national scale.

How to cite: fraser, F., Corstanje, R., Todman, L., Bello-Curás, D., Bending, G., Deeks, L., Harris, J., Hilton, S., Pawlett, M., Zawadzka, J., Whitmore, A., and Ritz, K.: Evidence of ecological critical slowing-down in temperate soils, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8252, https://doi.org/10.5194/egusphere-egu22-8252, 2022.

EGU22-8672 | Presentations | SSS4.4

Global patterns in testate amoebae diversity 

Valentyna Krashevska and the co-authors

Testate amoebae are a common group of shelled amoeboid protists that are widespread in terrestrial systems. They play a key role in microbial foodwebs and are useful bioindicators of present and past conditions due to their long-lasting shells. However, their diversity and distribution has not yet been investigated and visualised at a global scale. With extensive data collection effort involving the global testate amoebae community, we compiled data on testate amoebae from 10,889 locations worldwide: 9235 terrestrial, 1322 freshwater and 219 marine-interstitial sites. In terrestrial systems, 1187 species were recorded. The highest total number of species was documented on the continent of Asia (699 species) and the lowers in Antarctica (151 species). Preliminary analyses of terrestrial samples showed negative correlation of species number with increasing absolute latitude, peaking at low-mid latitudes. However, longitude also played a significant role in species distribution. The most studied continent is Europe (42 % of all samples) and the least studied is Africa (2 %). The data we have collected are the basis for identifying the fundamental ecological determinants of diversity and species composition of testate amoebae and for understanding patterns in microbial diversity. We will show the recent findings of this ongoing endeavour.

How to cite: Krashevska, V. and the co-authors: Global patterns in testate amoebae diversity, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8672, https://doi.org/10.5194/egusphere-egu22-8672, 2022.

EGU22-8992 | Presentations | SSS4.4

Human land-use increases earthworm diversity at local scale but not at the regional scale while improves abundance, biomass, and body size 

Dingyi Wang, Xianping Li, Yan Du, Jing Sun, Xiaoxu Qi, Maogang Xu, Kuihu Jiao, Yu Zhang, Chongzhe Zhang, Sibo Shi, Xin Gong, Di Wu, and Manqiang Liu

Global biodiversity is being threatened by climate change and human activities. Prior studies have demonstrated the negative concequences of land-use such as conversion of forest into monoculture, while its effects on belowground organisms especially soil invertebrates remain unclear. Earthworms are well-known ecosystem engineers that deliver multiple ecosystem functions including decomposition, carbon sequestration and plant growth. Yet, all of those functions are negatively affected by land-use conversion. Previous studies concerning land-use effects on soil biodiversity were generally conducted at a single site and small spatial scale, how soil biodiversity changes across spatial scales remains poorly understood.

In current study, earthworms were quantitatively sampled from 41 sites in three land-use types (i.e., farmland, orchard and forest at each site, five replicates) in subtropical region of China. Earthworm species were identified using both morphological and molecular methods. Earthworm density, biomass and body size were recorded. Notably, the species were also classified into different functional guilds. Totally, 84 species (or subspecies) were identified. Generally, local diversity (α diversity) was higher in agricultural lands than in forest lands, however, the opposite was true for regional diversity (γ diversity). In addition, the density of earthworm was the lowest in forest, while the biomass and body size were higher in agricultural lands. A higher proportion of endogeic and anecic earthworms were found in farmland and orchard than in forest. The land-use caused changes in soil properties contributed to the difference in earthworm diversity, abundance, biomass and body size.

In conclusion, we suggest that the impacts of human land-use on soil earthworm assemblage are scale-dependent, and the diversity, abundance, biomass and body size respond differently to land-use. Researches on different scales about land-use effects to soil biodiversity are urgently needed.

How to cite: Wang, D., Li, X., Du, Y., Sun, J., Qi, X., Xu, M., Jiao, K., Zhang, Y., Zhang, C., Shi, S., Gong, X., Wu, D., and Liu, M.: Human land-use increases earthworm diversity at local scale but not at the regional scale while improves abundance, biomass, and body size, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8992, https://doi.org/10.5194/egusphere-egu22-8992, 2022.

EGU22-9334 | Presentations | SSS4.4

From agriculture to forests: restoring fertility and biodiversity of exploited soils 

Innangi Michele, Antonietta Fioretto, Georg Guggenberger, Olga De Castro, Daniele De Luca, Emanuela Di Iorio, and Tiziana Danise

The issue of exploited soils that become unproductive after extended agriculture use is constantly growing and it is considered of great interest on a global level. Soil degradation induces loss of important ecosystem services and biodiversity, which is aggravated by the on-going climate change. Here, we investigated the chances of reforestation of an exploited soil as a possible nature based solution to this problem. We aimed at identifying a type of forest management capable of requalifying these soils. For that, we investigated a site in Central Italy characterized by a mixed-species plantation represented by tree different associations consisting of particular ancillary species, namely Alnus cordata, Elaeagnus umbellata (both N-fixing species), and Corylus avellana, in association with valuable species, such as Populus alba and Juglans regia planted on a former agricultural land. The criteria for the  improvement of soil quality was an increase in organic matter and biodiversity. We evaluated how the relationship between soil chemical and biological parameters varied among different intercropping systems and in a conventional agricultural field. We tested topsoil (0-10 cm) total organic carbon, total nitrogen, lignin and cellulose, as well as biological parameters such as fluorescein diacetate hydrolase (FDAH) enzyme activity, and fungal biodiversity by using a DNA metabarcoding approach. The comparison with the agricultural field revealed that revegetation led to an increase in both carbon and nitrogen as well as FDAH activity and fungal diversity. In this context, ancillary species could play a key role in restoring degraded soils quality, whereas N-fixing species Alnus cordata increased both soil fertility and biodiversity compared to the agricultural field and to other tree associations.

 

How to cite: Michele, I., Fioretto, A., Guggenberger, G., De Castro, O., De Luca, D., Di Iorio, E., and Danise, T.: From agriculture to forests: restoring fertility and biodiversity of exploited soils, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9334, https://doi.org/10.5194/egusphere-egu22-9334, 2022.

EGU22-9338 | Presentations | SSS4.4

Consequences of soil multitrophic biodiversity promoted by organic input management for ecosystem multifunctionality 

Xiaoyun Chen, Mingyu Li, Lujie Qiu, Qian Yang, Yan Zhou, Baijing Zhu, Bingbing Wan, Ting Liu, Zhengkun Hu, and Manqiang Liu

Soil biota, across multitrophic levels, regulates nutrient cycling and plant performance, and thereby play an important role in delivering multiple ecosystem functions. Soil nematodes occupy diverse positions in the soil food web, such as herbivores, bacterivores, fungivores, omnivores, and predators. Therefore, soil nematodes are usually considered as potential bio-indicators of soil quality or soil health under agricultural managements. However, there is a knowledge gap on how nematode multitrophic biodiversity (here the numbers of nematode trophic groups) affects soil multifunctionality.

This study combined field and laboratory experimental approaches to quantify and disentangle the aforementioned issue. First, we explored the impacts of compost application on nematode assemblages as well as multifunctionality based on a long-term field experiment. Results showed that compost application stimulated multitrophic biodiversity by the increase of microbivore and omnivore-predator abundance, while decreasing the herbivores. Besides, the increase of nematode multitrophic biodiversity was accompanied with the soil multifuctionality. Then a complete factorial design microcosm experiment was conducted with manipulating nematode trophic levels (microbivores, herbivores and omnivore-carnivores) to test the hypothesis that increasing multitrophic biodiversity will lead to higher soil multifuctionality as indicated by plant growth and defense to the pests. Consistent with the hypothesis, we found that integrating different trophic levels, i.e. maximum multitrophic biodiversity, could promote plant growth and notably the resistance to pest infestation through changing plant chemical composition. Particularly, we found microbivores reduced root biomass while omnivore-carnivores increased plant shoot biomass. The presence of omnivore-carnivores could suppress the abundance of insect (brown planthoppers) by regulating soil microbiome. In summary, the increment of soil multitrophic biodiversity have multifunctional consequence.

Overall, we provide direct experimental evidence for the multifunctional roles of soil multitrophic biodiversity. Further, soil organic management practices, regardless of organic amendments, non-tillage or growing cover crops, that improving soil habitat like resource and structure, and consequently promoting soil biodiversity especially higher-level biotic associations or trophic interactions may ultimately contribute to sustaining multiple ecosystem services including both crop productivity and pathogen controls. Such knowledge helps advance the mechanical understanding of biotic drivers of soil ecosystem functioning. It also highlights that organic management could strengthen the carbon-based ecosystem services if considering the extra benefits provided by soil biodiversity. Overall, our study corroborated organic management will be crucial to implement an ecologically multifunctional agriculture.

How to cite: Chen, X., Li, M., Qiu, L., Yang, Q., Zhou, Y., Zhu, B., Wan, B., Liu, T., Hu, Z., and Liu, M.: Consequences of soil multitrophic biodiversity promoted by organic input management for ecosystem multifunctionality, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9338, https://doi.org/10.5194/egusphere-egu22-9338, 2022.

EGU22-9910 | Presentations | SSS4.4

Impact of cattle grazing on peat properties and diatoms 

Maria Cid Rodriguez, Marco Cantonati, Daniel Spitale, and Claudio Zaccone

Peatlands are a major carbon (C) sink and represent important habitats for nature conservation because of the occurrence of specifically adapted organisms. Peatlands are typically nutrient-poor environments, and thus extremely sensitive to nitrogen (N) depositions. In fact, increasing N inputs can cause a shift from a Sphagnum moss- to a vascular plant-dominated vegetation as well as an alteration of the mire geochemistry which, in turn, affects the litter composition and decomposition rate. Peatland is an extremely fragile ecosystem: at the European level, >60% of this habitat type has been lost just in the last decades. In Alpine peatlands, in particular, overgrazing has been identified as a main problem for habitat integrity and biodiversity.

In the present study, six Belarus (50-cm deep) cores were collected from several peatlands located in the Adamello-Brenta Nature Park (Trentino, Italy) mirroring a grazing-induced disturbance gradient. All cores were cut frozen into 3-cm sections, and analysed for dry density, water content, pH, EC, and elemental (CHNS) composition. Diatom taphocoenoses were also determined. In particular, diatom frustules were prepared using hot hydrogen peroxide and finally mounted in the Naphrax© resin to produce permanent mounts for identifications and counts. 400 valves were counted and identified to the species level in each slide using a light microscope at x1000 magnification. The whole procedure was kept quantitative to allow the calculation of absolute abundances (n-valves/g-peat-dw).

Physical, chemical and biological parameters generally underlined how the grazing influence was clear mainly in the top 20 cm, and resulted in an increasing of density (up to 2×) and N concentration (up to 3×) as well as in a lower gravimetric water content (up to 50%). No significant differences were observed below 30 cm of depth.  More than 100 diatom species were identified throughout the 6 cores investigated, and several of them are included in threat categories of the Red List for central Europe (e.g., Cymbopleura valaiseana, Eunotia hexaglyphis, E. triodon). Since diatoms can reflect major regional environmental gradients, they can be used as indicators of ecological conditions in peatlands. In fact, some species that are trivial (= frequent and often abundant) in mire environments in spite of being relatively rare at the overall level of European inland waters (e.g., Aulacoseira alpigena, Encyonema perpusillum, Kobayasiella micropunctata) were found in the cores from highly-grazed areas whilst several rare and sensitive species were detected only (or were clearly more frequent) in cores from mildly-grazed areas.

This research can provide useful indications on the harmful effects of grazing in terms of both biogeochemical cycles and nature/habitats conservation.

How to cite: Cid Rodriguez, M., Cantonati, M., Spitale, D., and Zaccone, C.: Impact of cattle grazing on peat properties and diatoms, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9910, https://doi.org/10.5194/egusphere-egu22-9910, 2022.

EGU22-10834 | Presentations | SSS4.4

Soil fauna modify plant growth-defence relationships through coordinating rhizosphere microbial interactions 

Nan Jin, Xin Gong, Jiman Li, Xiaoyun Chen, Di Wu, Feng Hu, and Manqiang Liu

Soil fauna are now recognized as key components of soil and plant health, but how soil fauna modulates or even dictates plant stress responses remains unknown.Prior studies found the impacts of soil fauna on the plantprioritize either growth or defence depends on the feeding types of herbivores, suggesting that aboveground responses to herbivores and soil fauna are interconnected.However, the molecular and metabolism mechanism underlying this relationship is unclear.Theoretically, soil biotic interactions modified by soil fauna can drive above-ground responses, but there is still shortage of experimental evidence. Here, we aimed to test whether and how the plant survival strategies subjective to different feeding types of herbivores, were affected by rhizosphere microbial interactions exerted by soil fauna. We hypothesized that aboveground stress responses in plants can be orchestrated through coordinating belowground biotic interaction by soil fauna-root commensals.

First, we set out a complete factor design experiment under field condition by manipulating earthworms (Metaphire guillelmi) and the types of above-ground insects (cell-feeding, thrips: Frankliniella occidentalis; phloem-sucking, aphid: Myzus persicae). Soil physicochemical analysis and leaf RNA-seq were used to expound how earthworms dictates the trade-off between plant growth and defence. Second, to further explore the soil biotic-mediate pathway in the presence of earthworms. A microcosm experiment was performed by using a re-inoculated different soil community (obtained from 1000 and 20 μm sieves, respectively) collected from the field, with and without earthworms in the absence of herbivores. We used amplicon sequencing and plant metabolite analysis to elucidate how earthworm function by shaping rhizosphere biotic interactions.

We report here that belowground commensals can orchestrate aboveground stress responses in plants through biotic interaction. Earthworms suppressed thrips number, consistent with a resource-cost model. Contrary, earthworms promoted aphids’ number through the hormone antagonism model. Notably, soil biotic properties affected plant performance rather than soil abiotic properties mediated by earthworm. The microcosm experiment verified that rhizosphere microbial diversity and community structure shaped by earthworms reformed plant performance. In inoculated soil conditioned by earthworms, soil microbiome tended to be bacterial community towards primary metabolic processes, strengthening the interaction between fungi and bacteria in the rhizosphere. Further, the strengthened rhizosphere microbial interactions were increased plant shoot biomass and soluble sugar accumulation but decreased JA content. Taken together, effects of soil fauna on plant growth-defence relationships depend on the feeding types of herbivores, mainly attributing to the shifts in rhizosphere microbial interactions. Phenotypic plasticity and aboveground stress responses in plants can therefore be governed by soil fauna-root commensals.

How to cite: Jin, N., Gong, X., Li, J., Chen, X., Wu, D., Hu, F., and Liu, M.: Soil fauna modify plant growth-defence relationships through coordinating rhizosphere microbial interactions, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10834, https://doi.org/10.5194/egusphere-egu22-10834, 2022.

The extreme biophysical and climatic conditions in the trans-Himalayan region of Ladakh limits the plant growth and therefore since, time immemorial, high altitude pastures has been utilized for food and fodder security along with crop farming. The study investigated the changes in the concentration of organic carbon (C), nitrogen (N) and phosphorus (P), potassium (K) and ph in soil of high altitude pastures along the altitudinal gradient (4000 to 5500m amsl) in Leh Ladakh, India. Three sites were chosen for the study: Gya pasture (4500-5500 m), Shang pasture (4200-5000 m) and Igoo pasture (4000 to 4800 m). The results showed that concentration of soil organic carbon C and total nitrogen increased with increasing altitude in all the three sites. The concentration of available phosphorus P and available potassium K slightly decreased and had a non-linear relationship, however in case of Igoo pasture, the P and K value increased with increasing altitude. While the ph remained towards basic (ph= 7-8) irrespective of the site and elevational change. Besides the elevation, the practice of livestock grazing during summer migration could also impact the soil nutrient concentration as higher nitrogen and carbon content is observed near the temporary settlements of the herders in the sites where the practice was still intact.

How to cite: Ladon, P. and Garkoti, S. C.: Soil nutrient concentration with increasing elevational pattern in high altitude pastures in Leh Ladakh, India., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11805, https://doi.org/10.5194/egusphere-egu22-11805, 2022.

EGU22-12360 | Presentations | SSS4.4

Soil microbial diversity and ecosystem functioning assessment across Europe 

Maeva Labouyrie, Ferran Romero, Panos Panagos, Arwyn Jones, Leho Tedersoo, Cristiano Ballabio, Emanuele Lugato, Marcel van der Heijden, and Alberto Orgiazzi

The global area of cultivated land has increased considerably over the past five decades. Despite the many ecosystem services provided by soil, at large-scale, it is still poorly understood whether land-use intensification influences soil life and the services that rely upon it. Here we used an extensive soil metabarcoding database, derived from the European Union’s (EU) Land Use/Cover Area frame statistical Survey (LUCAS), to assess how vegetation (land) cover, biogeographic factors (i.e., climate) and soil properties influence the structure and potential functions of bacterial and fungal communities at a continental scale. We selected 715 LUCAS sampling locations, classified according to an increasing land-use intensification: from woodland (less disturbed), to grassland, and cropland (more disturbed). We found that croplands and grasslands had a higher microbial richness than woodlands. We observed that bacteria and fungi were not driven by the same environmental variables. While soil properties (e.g. pH, C:N ratio, potassium, phosphorus and carbonate contents) drove bacterial community composition, vegetation cover was the main driver for the fungal community. We found that vegetation cover, biogeographic factors and soil properties differently determined the distribution of main functional groups; for example, cropland soils with a higher pH and a lower C:N ratio hosted more nitrogen fixing bacteria whereas woodlands were dominated by ectomycorrhizal fungi, especially in non-compacted clay soils, with lower C:N ratio and potassium content. We observed that increasing aridity may inhibit functions beneficial for the plant communities (i.e. bacterial chemoheterotrophy and nitrogen fixation, arbuscular mycorrhizal symbiosis) and favour the spread of fungal pathogens. In addition, a high diversity was not always a positive aspect for ecosystem functioning, as for example, croplands were characterized by a higher presence of fungal pathogens. Maps of microbial functional groups for the EU were also generated. In conclusion, our results represent a step forward to a more comprehensive assessment of soil microbial diversity and associated functions across the European Union. Beside possible ecological implications, our findings can contribute to the development of indicators and implementation of soil management policies.

 

How to cite: Labouyrie, M., Romero, F., Panagos, P., Jones, A., Tedersoo, L., Ballabio, C., Lugato, E., van der Heijden, M., and Orgiazzi, A.: Soil microbial diversity and ecosystem functioning assessment across Europe, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12360, https://doi.org/10.5194/egusphere-egu22-12360, 2022.

EGU22-12402 | Presentations | SSS4.4

Soil Eukaryotes Diversity in the EU - Environmental drivers in agricultural land, forests and grasslands 

Julia Köninger, Panos Panagos, Maria J.I. Briones, and Alberto Orgiazzi

Despite that all above-ground life depends on that below-ground, the knowledge on soil biodiversity is still very limited. Conservation activities have been often postponed due to missing data. For example, this was the case in previous EU Common Agricultural Policy agreements, when environmental indicators for soil biodiversity were meant to be integrated comparable to biodiversity indicators in place. While massive sequencing of soil biodiversity contributes significantly to shredding light on below-ground life, sampling methods are not adequately harmonised, preventing the establishment of reliable quantifiable conservation targets. In addition, broad-scale studies are often biased towards microorganisms and hence, in the majority of the published literature, eukaryotes, and more specifically, animals and protists, are neglected. Therefore, in a first EU-wide study of 885 sites, we investigated the response of environmental factors (i.e., soil properties, biogeographical location and climate) and land cover (cropland, grassland and woodland) on soil eukaryotic diversity. The LUCAS survey and previously published studies provided soil, climate and land cover data. DNA metabarcoding of the 18S genes allowed us to assess the diversity of animals, protists and fungi, but due to their high variability in body size, we grouped them into micro-, meso- and macrofauna. For the bioinformatics analyses, we clustered sequence reads into amplicon sequence variants using DADA2 and thereafter, we assessed alpha and beta diversity and the relationships between eukaryotic diversity and environmental drivers using regression, ordination, and variance partitioning analyses. Our results allowed us to identify potential indicator species for EU soils, representing the effect of different drivers on eukaryotic diversity. These findings will help to understand the links between soil abiotic and biotic patterns at large scale, pathing the way for quantifiable goals to be included in conservation activities and policies.

How to cite: Köninger, J., Panagos, P., Briones, M. J. I., and Orgiazzi, A.: Soil Eukaryotes Diversity in the EU - Environmental drivers in agricultural land, forests and grasslands, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12402, https://doi.org/10.5194/egusphere-egu22-12402, 2022.

EGU22-1233 | Presentations | SSS4.5

Climate history dictates microbial metabolic response to drought stress: from semi-arid soils to tropical forest precipitation gradients 

Nicholas Bouskill, Ulas Karaoz, Stephany Chacon, Aizah Khurram, Lee Dietrich, Hoi-Ying Holman, and Daniela Cusack

The frequency and intensity of environmental fluctuations play an important role in shaping microbial community composition, trait-distribution, and adaptive capacity. We hypothesize here that a communities’ climate history dictates it’s metabolic response to future perturbation under a changing climate. Such a response is significant as changes in microbial metabolism can, in turn, feedback onto metabolite exudation, the chemical structure of necromass, and the formation and stability of soil organic matter. Here we use laboratory and field experiments to examine the metabolic pathways invoked under osmotic and matric stress within semi-arid and tropical soils. For example, using non-destructive, synchrotron-based Fourier-transform infrared spectromicroscopy we profiled the stress response of phylogenetically similar bacteria isolated from soils with contrasting climate histories subjected to both matric and osmotic stress. We note a strong carbohydrate-based, metabolic response of tropical microbes that is entirely absent in semi-arid organisms. At the field scale, we use metagenomic sequencing and metabolite analysis to demonstrate how four different sites established across a 1 m precipitation gradient from the Caribbean coast to the interior of Panama respond to a 50 % reduction in throughfall. The precipitation gradient permits the development of distinct communities at each site that show clearly divergent response to imposed hydrological perturbation. Our contribution here will discuss how communities adapted to different precipitation regimes respond metabolically to drought conditions, and how these change feedback onto the structure and stability of soil organic matter.    

How to cite: Bouskill, N., Karaoz, U., Chacon, S., Khurram, A., Dietrich, L., Holman, H.-Y., and Cusack, D.: Climate history dictates microbial metabolic response to drought stress: from semi-arid soils to tropical forest precipitation gradients, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1233, https://doi.org/10.5194/egusphere-egu22-1233, 2022.

EGU22-2657 | Presentations | SSS4.5

Physiological responses of soil microorganisms to weeks, years, and decades of soil warming 

Andrea Söllinger, Joana Séneca, Mathilde Borg Dahl, Liabo L. Motleleng, Judith Prommer, Erik Verbruggen, Bjarni D. Sigurdsson, Ivan Janssens, Josep Peñuelas, Tim Urich, Andreas Richter, and Alexander T. Tveit

How soil microorganisms respond to global warming is a key question in microbial ecology and eminently relevant for soil ecosystems, the terrestrial carbon cycle, and the climate system. However, physiological responses of soil microorganisms – key to infer future soil-climate feedbacks – are poorly understood.

We here make use of the longest lasting in situ soil warming experiment worldwide, ForHot, in which an Icelandic subarctic grassland site has been exposed to natural geothermal soil warming for more than 50 years. Using a metatranscriptomics approach, allowing the comprehensive study of the entire active soil microbial community and their functions by analysing expressed genes, we revealed key physiological responses of soil Bacteria to medium- (8 years) and long-term (>50 years) soil warming of +6 °C.

Irrespective of the duration of warming, we observed a community-wide upregulation of central (carbohydrate) metabolisms and cell replication and a downregulation of the bacterial protein biosynthesis machinery in the warmed soils. This coincided with a decrease of microbial biomass, a decrease of total and biomass-specific RNA content, and lower soil substrate concentrations in the warmed soils. We conclude that higher biochemical reaction rates, caused by higher temperatures, allow soil Bacteria to reduce their cellular number of ribosomes, the macromolecular complexes carrying out protein biosynthesis. To further test this we revisited the site and conducted a short-term warming experiment (6 weeks, +6 °C), which supported our conclusion.

The downregulation of the protein biosynthesis machinery (i.e., the reduction of ribosomes) liberates energy and matter, leading to a resource re-allocation, and allows soil Bacteria to maintain high metabolic activities and cell division rates even after decades of warming.

How to cite: Söllinger, A., Séneca, J., Dahl, M. B., Motleleng, L. L., Prommer, J., Verbruggen, E., Sigurdsson, B. D., Janssens, I., Peñuelas, J., Urich, T., Richter, A., and Tveit, A. T.: Physiological responses of soil microorganisms to weeks, years, and decades of soil warming, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2657, https://doi.org/10.5194/egusphere-egu22-2657, 2022.

Anthropogenic warming is expected to accelerate global soil organic carbon (SOC) losses via microbial decomposition, yet, there is still no consensus on the loss magnitude. Here we argue that, despite the mechanistic uncertainty underlying these losses, there is confidence that a strong, positive land carbon–climate feedback can be expected. Two major lines of evidence support net global SOC losses with warming via increases in soil microbial metabolic activity: the increase in soil respiration with temperature and the accumulation of SOC in low mean annual temperature regions. Warming- induced SOC losses are likely to be of a magnitude relevant for emission negotiations and necessitate more aggressive emission reduction targets to limit climate change to 1.5 °C by 2100. We suggest that microbial community–temperature interactions, and how they are influenced by substrate availability, are promising research areas to improve the accuracy and precision of the magnitude estimates of projected SOC losses.

How to cite: García-Palacios, P.: Evidence for large microbial-mediated losses of soil carbon under anthropogenic warming, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3539, https://doi.org/10.5194/egusphere-egu22-3539, 2022.

EGU22-5516 | Presentations | SSS4.5

Should I grow or should I go? - Transcriptomic responses of permafrost soil microbiomes to sudden thaw and erosion 

Maria Scheel, Athanasios Zervas, Carsten Suhr Jacobsen, and Torben Røjle Christensen

Permafrost soils usually remain frozen in summer, often even for millennia. Due to low temperatures, decomposition rates are low and alone Arctic permafrost is estimated to store 1850 Gt carbon (C). This currently corresponds to about twice the amount of atmospheric CO2. While microorganisms within their seasonally thawing surface (active) layer are adapted to enormous temperature fluctuations, the intact permafrost microbiome contains spore-formers and extremophiles at low metabolic states. With global warming, seasonal thaw depth increases, not only leading to loss of ancient communities, but also to a growing availability of soil carbon for decomposition. Much of permafrost microbial taxonomic and metabolic diversity is unknown still, but our most urgent gaps of knowledge exist in monitoring this vulnerable microbiome’s ecological and metabolic adaptation in situ during permafrost thaw and erosion. Insights about microbial carbon sequestration in thawing soils is crucial - yet understudied, as permafrost environments are usually remote and modern sequencing techniques require elaborate sample storage and transport.

Here, we present our results of total RNA sequencing of abruptly eroding as well as intact 26200-year-old permafrost soils, from the high Arctic Northeast Greenland. Gene expression of samples describes the community composition (rRNA) and active metabolic pathways (mRNA) in zones of intensely degrading permafrost. The impact of changing physicochemical soil parameters with depth, such as pH, age, soil moisture and organic matter content was compared to determine possible metabolic and community-level responses. We revealed taxonomic composition and diversity, as well as metabolic pathways of microbial organic carbon remineralization especially at the crucial freshly thawed permafrost depths.

How to cite: Scheel, M., Zervas, A., Jacobsen, C. S., and Christensen, T. R.: Should I grow or should I go? - Transcriptomic responses of permafrost soil microbiomes to sudden thaw and erosion, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5516, https://doi.org/10.5194/egusphere-egu22-5516, 2022.

EGU22-6050 | Presentations | SSS4.5

Changes in the composition of ectomycorrhizal fungal communities and the water uptake of European beech forests across a natural precipitation gradient 

Teresa Gimeno, David Moreno-Mateos, Silvia Matesanz, Nicolas Fanin, Lisa Wingate, Javier Porras, and Asun Rodríguez-Uña

In temperate forests, ectomycorrhizal fungi (EMF) form the dominant mycorrhizal symbiotic association. EMF increase root uptake of nutrients and water in exchange for carbohydrates. The composition, structure and abundance of EMF communities are shaped by abiotic factors such as soil water availability, chemical and physical properties. Biotic factors also play a strong role especially tree species identity and plant physiological activity. Water availability affects both biotic and abiotic factors and thus is a major driver of EMF community structure and function. Under current climate change scenarios, seasonal drought risk is predicted to expand into areas where ecosystems may not be adapted to limited water availability. This is the case of European beech (Fagus sylvatica) forests growing along their southern distribution limit, in the Iberian Peninsula. Here, we characterized the abundance and composition of the EMF community and the patterns of root water uptake, in forests along a precipitation gradient (2500, 1100 and 900 mm/year), in northern Spain. We sampled soil, wood and fine roots in three mature pure beech forests at two times during the growing season, with contrasting soil water availabilities. DNA was extracted from EMF tips for molecular analyses (DNA meta-barcoding) to estimate species richness and diversity for each site and sampling campaign. Root colonization by EMF decreased in the late part of the growing season, when soil water availability was lower and this decline was larger at the rainiest site. We found that EMF species richness and diversity were similar across sites and sampling campaigns, irrespective of soil water availability. Yet, across sites, EMF communities were distinctly separated in the multidimensional space and did not change over the season, suggesting that EMF communities would be adapted to the local climatic and abiotic conditions. Analyses of water isotopic composition showed that root water uptake relied on upper soil moisture at the rainiest site, whereas it relied on deeper water reservoirs at the sites with more limiting water availability. Taken together our results suggest that EMF communities of F. sylvatica forests along their southern distribution limit would be adapted to low seasonal water availability, provided that trees had access to deep soil water. Also, at sites where water availability was more limiting, roots would take up water from deeper soil horizons, whereas nutrients and EMF would still concentrate in the shallower soil layers, which could suggest a spatial decoupling between nutrient and water uptake. Meanwhile, at sites with abundant rainfall, both nutrient and water uptake would be strongly linked to water availability in the upper soil and thus these functions could be potentially more vulnerable to changes in precipitation patterns, mainly increased frequency and duration of rainless periods.

How to cite: Gimeno, T., Moreno-Mateos, D., Matesanz, S., Fanin, N., Wingate, L., Porras, J., and Rodríguez-Uña, A.: Changes in the composition of ectomycorrhizal fungal communities and the water uptake of European beech forests across a natural precipitation gradient, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6050, https://doi.org/10.5194/egusphere-egu22-6050, 2022.

EGU22-6862 | Presentations | SSS4.5

Linking soil microbial biodiversity to soil carbon dynamics 

Swamini Khurana and Stefano Manzoni

Carbon emissions from soil are large contributors to the global carbon cycle, but depend on processes occurring at a small scale. Carbon cycling in the soils is mediated by plant roots, soil fauna, and microorganisms including fungi and bacteria. Sophisticated molecular analytical techniques have been developed to characterize soil microbial communities, resulting in discovery of new microbial species that are not yet culturable in the laboratory. The unculturable fraction of soil microbial communities make for a large data gap since we are not able to characterize their activity, and even less so their role in the microbial community. As a result, soil carbon models cannot be readily parameterized from the bottom up—essentially, we cannot quantify functions at low taxonomic level and then scale up to the community level. In this numerical study, we aim to explore how soil carbon model predictions are affected by microbial diversity as characterized in silico by distribution of traits.

The resilience of soil microbial communities is related to distance to the surface and diversity. Diverse microbial communities that are closer to the surface, experiencing regular temporal fluctuations in environmental conditions are more resilient to disturbances than microbial communities deeper down in the subsurface. However, forest management practices and extreme climate conditions impose conditions that may be hitherto unforeseen. This makes prediction of response of soil microbial communities to new disturbances and soil carbon respiration thereof to be uncertain. In this contribution, we developed a microbial process network incorporating diverse organic matter compounds, and bacterial and fungal species characterized by distributions of trait values (including co-variations and trade-offs). With this framework, we explore if soil microbial diversity is a good predictor for soil carbon stocks and study diversity effect on community-level responses to disturbance and variations in environmental conditions. These results will assist in the development of a rate expression to capture the contribution of soil microbial community composition to carbon dynamics in soil.

How to cite: Khurana, S. and Manzoni, S.: Linking soil microbial biodiversity to soil carbon dynamics, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6862, https://doi.org/10.5194/egusphere-egu22-6862, 2022.

EGU22-7699 | Presentations | SSS4.5

Intracellular energy storage mediating soil microbial resource stress 

Yang Ding, Martin Komainda, Kyle Mason-Jones, Michaela Dippold, and Callum C. Banfield

A diverse range of soil microorganisms accumulate energy to secure their future needs under resource fluctuation or deficiency. Microbial intracellular storage can substantially mediate the stress of resource variability across time, thereby supporting growth and reproduction. Microbial storage is well known in industrial applications and under pure culture conditions, yet few studies address its importance in the soil. To evaluate how widespread microbial energy storage is in soil, we quantified the contents of two intracellular storage compounds, polyhydroxybutyrate (PHB) and triacylglycerides (TAGs), from seven permanent grasslands in Germany differing in field management (grazing/mowing and fertilizing) and soil types. In winter 2021, soil was collected from two depths, 5-10 cm called topsoil, and >30 cm called subsoil, to capture different soil carbon inputs from grass roots. The storage compound contents were determined by gas chromatography–mass spectrometry (GC-MS). We hypothesized that the carbon input controls the storage compound levels. From topsoil to subsoil, as root carbon inputs (estimated from the fresh root weight) drop with depth, microbial storage levels follow suit. Dissolved organic carbon (DOC) was measured to qualify carbon availability to microorganisms, and microbial biomass carbon (MBC) was to assess microbial biomass. The root weight in the topsoil was 20-50 times higher than in the subsoil, while MBC and DOC contents were 3-4 and 1.5-2.5 times higher, respectively. Storage levels and MBC decreased with depth, and showed a positive correlation with DOC. This experiment allowed us to quantify intracellular storage occurrence in soils and to understand how its distribution related to root carbon input. These results point out that microbial intracellular carbon storage might accumulate according to the available carbon level (root carbon inputs) for microorganisms. Thus, this carbon plays a pivotal role for microbial ecology of soils as it prepares the microbial cells to survive throughout the winter when less carbon is provided by plants.

How to cite: Ding, Y., Komainda, M., Mason-Jones, K., Dippold, M., and Banfield, C. C.: Intracellular energy storage mediating soil microbial resource stress, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7699, https://doi.org/10.5194/egusphere-egu22-7699, 2022.

It is projected that the Amazon Forest could act as a carbon (C) sink in future climate change scenarios by efficiently storing extra biomass produced. Under atmospheric dioxide carbon (CO2) elevation, the forest would experience an effect of C fertilization that could enhance nutrient requirements resulting in increased rates of nutrient cycling, soil enzymes activity, and soil microbial biomass stocks. However, we can expect that the potential effects of elevated CO2 (eCO2) could be restricted by soil nutrient limitation, especially in the low phosphorus (P) conditions found in central Amazonia. We aimed to estimate the effect of eCO2 belowground, focusing on soil microbial biomass and enzymes activity on bulk soil and rhizosphere in central Amazonia, Brazil. In 2019 we set up the AmazonFACE program a CO2 fertilization in a central Amazon rainforest in a factorial design experiment with eight Open-Top Chambers (OTC): four controls with ambient CO2 concentration (aCO2), and four with eCO2 (200 ppm above the control chambers). We grew six pots with Inga edulis, a native N-fixing species, per OTC; additionally, we added 600 mg/kg of P in three pots per OTC in a total of four treatments: aCO2, eCO2, aCO2+P and, eCO2+P. In 2021 we harvested the plants and evaluated total soil microbial biomass carbon (MBC) and the potential activity of extracellular enzymes acid phosphatase (AP), β-glucosidase (BG), N-acetyl-β-glucosaminidase (NAG), enzymatic stoichiometry (BG/AP, and BG/NAG), and the microbial biomass specific enzyme rate (the ratio of each enzyme/MCB) in the bulk soil and in the soil attached to the roots, that we considered the rhizosphere. We hypothesized that the effect of eCO2 and P addition would increase MBC and enzyme activity; higher MBC and enzymes activity would be found in the rhizosphere instead of bulk soil. We found that the effects of eCO2 were only present with the interaction with P addition: higher MBC, but lower AP and BG/MBC in eCO2+P compared to controls. We also found an interaction effect of eCO2 regarding bulk soil and rhizosphere: higher NAG activity on bulk soil, and higher BG/NAG on rhizosphere. We found a difference between bulk soil and rhizosphere in almost all variables, except for MBC and BG/MBC. Enzyme activity and AP/MBC and NAG/MBC were higher for bulk; nevertheless, the enzymatic stoichiometry was greater in the rhizosphere. As we expected, eCO2+P increased MBC, although we found a higher microbial biomass specific enzyme rate in controls, which can suggest nutrient limitation, such as P. In contrast to our assumption, the bulk soil showed higher enzymes activity and microbial specific enzyme rates than the rhizosphere. However, the higher ratio of BG/AP on the rhizosphere can indicate lower P investment. We also found that the effect of eCO2 on soil enzymes can be different between bulk soil and rhizosphere (high rhizosphere BG/NAG), potentially decreasing nitrogen investment on soil near the roots. Our results suggest that under eCO2, the Amazon Forest could increase soil C stock due to MBC and this effect can change nutrients demand especially on the rhizosphere.

How to cite: Bachega, L. and Lugli, L. and the Carlos Quesada1: Soil microbial biomass and enzyme activity under elevated CO2 in Central Amazon: how global changes can affect tropical forests belowground, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8845, https://doi.org/10.5194/egusphere-egu22-8845, 2022.

EGU22-8880 | Presentations | SSS4.5

Soil microbial co-occurrence networks and functioning along an aridity gradient in Atlantic coastal dunes 

María José Fernández Alonso, Alexandra Rodríguez, Raúl Ochoa-Hueso, Fernando T. Maestre, and Jorge Durán

Atlantic coastal dunes are priority conservation areas highly sensitive to climate change. In the Iberian Peninsula, a large part of the coastal dunes are drylands where the chronic shortage of water acts as a major driver of the ecosystem structure and functioning. The predicted increase in aridity by the end of this century may compromise key ecosystems aspects in drylands, such as biotic cover, vegetation productivity and soil fertility. We know little about how changes in aridity and biotic cover may affect the abundance and diversity of soil microbial communities in coastal dunes, and as such their assembly and ecological interaction networks.

We investigated whether the exposure to different aridity regimes can induce differences in microbial co-occurrence networks as well as alter their spatial heterogeneity. Specifically, we aim to (1) assess whether soil fungal and bacterial networks respond differently  and (2) test the role of the biotic cover driving the bacterial and fungal network relationships, the soil attributes and functions. To that end, we used a climosequence of dune systems with minimal variation in the soil type that covered a wide range of aridity conditions including humid, dry-subhumid and drylands in the coastline of Portugal and Spain (~1500 km).

Our results show that aridity decreased the biotic cover, favoured the formation of shrub vegetation patches and negatively affected microbial diversity, organic matter content and potential nitrogen mineralisation in soils. We also observed that the biotic cover exerts a strong control on soil attributes whose effects depend on the degree of aridity (e.g. formation of fertile islands in arid areas and different control of soil inorganic nitrogen forms in wetter areas). At an ecosystem level, increases in aridity resulted in a strong increase in the coupling of the soil microbial network until a specific threshold (values of aridity index (P/ETP)= 0.5-0.6) beyond which it remained constant. Soil bacterial networks showed lower stability against changes in aridity than fungal networks. Surface microsites strongly drove the interactions among soil bacterial groups, but much less so for fungal groups. Our results suggest that climate change, through increased aridity and associated loss of the biotic cover, will have important implications for microbial communities and soil functioning in these coastal dune systems.

How to cite: Fernández Alonso, M. J., Rodríguez, A., Ochoa-Hueso, R., Maestre, F. T., and Durán, J.: Soil microbial co-occurrence networks and functioning along an aridity gradient in Atlantic coastal dunes, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8880, https://doi.org/10.5194/egusphere-egu22-8880, 2022.

EGU22-9015 | Presentations | SSS4.5

Ecophysiological traits underlying microbial succession after rewetting of soil from different precipitation regimes 

Ella Sieradzki, Alex Greenlon, Mary Firestone, Jennifer Pett-Ridge, Steven Blazewicz, and Jillian Banfield

After the dry season in a Mediterranean climate grassland, the initial soil rewetting event causes a short period of high microbial activity, growth, and mortality. This wet up leads to microbial succession and community reassembly. Climate change in these semiarid environments is projected to cause reduced precipitation, which may affect the structure and function of the microbial community. However, we know little about how microbial functional traits underlie the rewetting succession, and how previous precipitation regimes affect these traits.

Using 18O-water stable isotope probing (SIP), we conducted a replicated wet-up experiment in annual grassland soils that had been previously subjected to either average precipitation or 50% of the annual average. We traced microbial succession through 5 time points (0h, 24h, 48h, 72h and 168h) post wet-up. By combining SIP with metagenomics, we identified the actively growing organisms in both precipitation treatments and determined ecophysiological traits that were significantly more represented in growing organisms in each precipitation regime. 

We observed a legacy effect of average vs. reduced precipitation by comparing the differential abundance of genes observed at time 0h in the two soil treatments. However, this legacy effect was surprisingly short-lived, implying that microbial community function rapidly “restarts itself” before the next growing season, regardless of the precipitation conditions experienced in the previous year. While growing organisms were significantly more abundant than non-growing organisms during the wet-up, the most abundant taxa were slow growers. In contrast, fast growing taxa were less abundant throughout the experiment, suggesting mortality plays a large role in the reformation of the microbial community.

We highlight temporal patterns and significant differences based on past precipitation in the abundance of carbohydrate utilization pathways, such as a higher representation of organisms capable of degrading cellulose in the reduced precipitation treatment. There were no temporal patterns in nitrogen cycling pathways; nitrogen acquisition appeared to be based mostly on ammonium assimilation and transport as well as proteases. In conclusion, altering preceding precipitation patterns had a large legacy effect on microbial community assembly and function upon rewetting. However, the functional and compositional changes that resulted from altered precipitation had remarkably short-lived effects after the soils were rewetted.

How to cite: Sieradzki, E., Greenlon, A., Firestone, M., Pett-Ridge, J., Blazewicz, S., and Banfield, J.: Ecophysiological traits underlying microbial succession after rewetting of soil from different precipitation regimes, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9015, https://doi.org/10.5194/egusphere-egu22-9015, 2022.

EGU22-9064 | Presentations | SSS4.5 | Highlight

The ecology of wild microorganisms in a changing climate 

Bruce Hungate

Climate warming can alter microbial activity, potentially altering the composition of the atmosphere and feeding back to climate, as well as health of soils that support production of food and fiber. The vast variation in microbial metabolism, physiology, and traits means that different microorganisms are likely to respond differently to the same forcings. For example, some microorganisms appear to thrive with warming, some are unresponsive, and others decline. Such differences in responses likely result in different contributions by microorganisms to terrestrial feedbacks to climate change, like carbon storage and loss from soils, as well as the release and exchange of the potent greenhouse gases nitrous oxide and methane. Characterizing the magnitude and significance of differential biological responses and feedbacks to environmental forcing is a major focus of ecosystem science and functional ecology. Doing so for microorganisms is challenging, but vitally important given the size and uncertainty of microbial feedbacks to the changing climate. Addressing these issues requires quantitative measurements of microbial responses to warming, responses that can be translated into the material flows in nature that constitute the feedbacks of interest. Further, we need to aim toward quantifying microbial responses under field conditions, under conditions where we can simultaneously characterize the magnitude of the feedback and thus have common context for connecting the two. Examples of efforts to make these connections will be presented, from warming experiments across biomes. Quantitative field-based microbial ecology can push the field by revealing the biology and evolution of the key drivers of important feedbacks to the changing climate and atmosphere, and may help identify organisms that are especially effective in promoting the ecosystem processes that protect the climate.

How to cite: Hungate, B.: The ecology of wild microorganisms in a changing climate, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9064, https://doi.org/10.5194/egusphere-egu22-9064, 2022.

EGU22-10050 | Presentations | SSS4.5

Modelling climate-substrate interactions in microbial SOC decomposition 

Marleen Pallandt, Bernhard Ahrens, Marion Schrumpf, Holger Lange, Sönke Zaehle, and Markus Reichstein

Soil organic carbon (SOC) is the largest terrestrial carbon pool. However, it is still uncertain how it will respond to climate change in the 21st century. Especially SOC losses due to soil warming are a source of uncertainty. It is generally accepted that microbially driven SOC decomposition will increase with warming, provided that sufficient assimilable substrate is available. Sorption to mineral surfaces or the soil moisture-dependent diffusion of substrates to microbial cells can limit substrate availability. Substrate supply is therefore a potentially rate limiting step for the temperature response of SOC decomposition.

In SOC decomposition models, the combined effects of temperature and soil moisture on the decomposition rate can be represented by the Dual Arrhenius Michaelis-Menten (DAMM) model (Davidson et al. 2012). For any substrate (S), it describes the reaction velocity V = Vmax [S]/(kMS+ [S]), where [S] is the substrate concentration and kMS is the half-saturation constant. The maximum reaction velocity, Vmax, is temperature dependent and follows an Arrhenius function. Also, a positive correlation between temperature and kM-values of different enzymes has been empirically shown, with Q10 values ranging from 0.71-2.8 (Allison et al., 2018). As kMS appears in the denominator of the Michaelis-Menten equation, an increase in kMS leads to a lower reaction velocity (V) and V would become less temperature sensitive at low substrate concentrations.

Besides temperature, substrate concentration [S] depends on soil moisture content. In a dry soil, substrate diffusion to the microbial surface is limited, whereas in a very wet soil, reduced oxygen availability can lower the reaction velocity (V). Changes in substrate supply in drying/(re)wetting soils coincide with changes in temperature which directly interact with the temperature sensitivities of Vmax and kMS. These interactions can have consequences for decomposition rates in the topsoil versus the deeper soil, since substrate concentrations and temperature are generally higher in the topsoil, but moisture could be more important for substrate limitation. In contrast, in the deep soil, soil moisture might be more available but substrate concentrations (and potentially soil temperatures) might be lower.

This study focuses on this interaction between climate change and substrate availability by comparing two model experiments: 1) a modelling experiment where only Vmax is temperature sensitive and 2) one where both Vmax and kMS are temperature sensitive. We also investigate the consequences of the counteracting temperature sensitivities of Vmax and kMS among a substrate gradient, and at different soil temperatures and soil moisture ranges. Finally, we look at dynamic changes in substrate supply, temperature sensitivities and changes in soil moisture and their effects on SOC decomposition in a microbially explicit dynamic SOC decomposition model which also includes organo-mineral interactions.

How to cite: Pallandt, M., Ahrens, B., Schrumpf, M., Lange, H., Zaehle, S., and Reichstein, M.: Modelling climate-substrate interactions in microbial SOC decomposition, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10050, https://doi.org/10.5194/egusphere-egu22-10050, 2022.

EGU22-11048 | Presentations | SSS4.5

Topography and hydro-geomorphic fluxes drive the assemblage of microbial communities 

Rossano Ciampalini, Aymé Spor, Amélie Quiquerez, Laurent Philippot, David Bru, Arnaud Mounier, and Stéphane Follain

Abiotic factors have long been recognised as important factors in structuring microbial diversity and species associations, among which topography and hydro-geomorphic flows have an impact from plot to large scale. These factors are deeply involved in the dynamics of climate change. However, the actual impact of topography on microbial communities in spatially defined habitats remains unclear and, needing further development, represents a promising branch to investigate microbiological assets in the environment. In this study, we analysed a parcel in continental France which revealed a combined action of hydro-geomorphic fluxes and topography in structuring microbial assemblages. Species-habitat occurrence seems to respond to the effective energy locally displayed by fluxes. Largest richness and microbial variety occurred where fluxes are small such as on limited slope or reduced runoff concentrations. Species dominance was higher in zones with higher fluxes suggesting: 1) an impoverishment of the more sensible species, or 2) a selective adaptation of the most resistant species. This differentiation was evidenced by analysing the potential impact of topography and cumulated fluxes for runoff and sediments (i.e., WTI, LS RUSLE indexes) on microbial richness, dominance, and abondance at Phylum and Class levels.

How to cite: Ciampalini, R., Spor, A., Quiquerez, A., Philippot, L., Bru, D., Mounier, A., and Follain, S.: Topography and hydro-geomorphic fluxes drive the assemblage of microbial communities, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11048, https://doi.org/10.5194/egusphere-egu22-11048, 2022.

EGU22-11452 | Presentations | SSS4.5

High summer precipitation reduces soil methane sink capacity and alters decomposition processes in a mature temperate forest 

Katy Faulkner, Simon Oakley, Sally Hilton, Kelly Mason, Sami Ullah, Christopher van der Gast, Niall McNamara, and Gary Bending

Climate change is expected to alter global precipitation patterns, with unknown impacts on biodiversity and ecosystem functioning. Temperate forests are one of the largest terrestrial carbon stocks, acting as sinks for greenhouse gases such as carbon dioxide and methane thus playing a major role in ameliorating global warming. Predicted changes to precipitation intensity, duration and timing under future climates are likely to result in the alteration of soil moisture dynamics in forest soils. This will impact soil microbial functions, with shifts from oxic to hypoxic or anoxic conditions which could affect microbial metabolism and microbially-mediated nutrient cycling. The impacts of these changes on the terrestrial carbon balance under current and future atmospheric carbon dioxide levels is currently not known. Here, we use a novel in situ approach to simulate high rainfall in soil mesocosms within a mature temperate oak-dominated (Quercus robur) forest in Staffordshire, UK (Birmingham Institute of Forest Research Free-Air Carbon Dioxide Enrichment facility) where atmospheric CO2 levels are elevated 150 ppm above ambient levels. We show that an 8-week period of elevated rainfall and volumetric soil moisture (~ 30% increase in amended mesocosms vs controls) had significant impacts on soil functioning. The forest soil methane sink was significantly reduced in the high rainfall treated soils by ~ 21-67%, resulting in greater methane accumulation in the atmosphere, with no recovery 4 weeks post-event. Using 16S rRNA amplicon sequencing and qPCR approaches, we show how bacterial and archaeal diversity respond to altered precipitation regimes and show significant changes in the abundance of methanotrophic and methanogenic communities. The activities of soil extracellular enzymes, involved in the breakdown of organic carbon, nitrogen, and phosphorus compounds, were reduced during the high rainfall treatment. Our results demonstrate that important climate feedbacks could occur during modest alterations in precipitation which should be considered in climate models and forestry management plans.

How to cite: Faulkner, K., Oakley, S., Hilton, S., Mason, K., Ullah, S., van der Gast, C., McNamara, N., and Bending, G.: High summer precipitation reduces soil methane sink capacity and alters decomposition processes in a mature temperate forest, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11452, https://doi.org/10.5194/egusphere-egu22-11452, 2022.

EGU22-11613 | Presentations | SSS4.5

More frequent dry and wet spells increase stochastic microbial community assembly in grassland soils 

Lingjuan Li, Gerrit Beemster, Simon Reynaert, Ivan Nijs, Kris Laukens, Han Asard, Olga Vinduskova, and Erik Verbruggen

Climate change is leading to an increased frequency and severity of alternating wet and dry spells. These fluctuations affect soil water availability and other soil properties which are crucial drivers of soil microbial communities. While soil microbial communities have a reasonable capacity to recover once a drought seizes, the expected alternation of strongly opposing regimes can pose a particular challenge in terms of their capacity to adapt. Here, we set up experimental grassland mesocosms where precipitation frequency was adjusted along a gradient while holding total precipitation constant. The gradients varied the duration of wet and dry "spells" from 1 to 60 days during a total of 120 days, where we hypothesized that especially intermediate durations would lead to stochastic community assembly due to frequent alternation of opposing environmental regimes. We examined bacterial and fungal community composition, diversity, co-occurrence patterns and assembly mechanisms across these different precipitation frequencies. Our results show that 1) intermediate frequencies of wet and dry spells increased the stochasticity of microbial community assembly whereas microbial communities at low and high regime persistence were subject to more deterministic assembly, and 2) more persistent precipitation regimes (> 6 days duration) reduced the fungal diversity and network connectivity but had a less strong effect on bacterial communities. Collectively, these findings indicate that recurring wet and dry events lead to a less predictable and connected soil microbial community. This study provides new insight into the likely mechanisms through which precipitation frequencies alter soil microbial communities and their predictability.

How to cite: Li, L., Beemster, G., Reynaert, S., Nijs, I., Laukens, K., Asard, H., Vinduskova, O., and Verbruggen, E.: More frequent dry and wet spells increase stochastic microbial community assembly in grassland soils, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11613, https://doi.org/10.5194/egusphere-egu22-11613, 2022.

EGU22-12273 | Presentations | SSS4.5

Are carbon-storing soils more sensitive to climate change? A laboratory evaluation for agricultural temperate soils. 

Claire Chenu, Israel Kpemoua, Sarah Leclerc, Pierre Barre, Sabine Houot, Valerie Pouteau, and Cedric Plessis

Global warming is leading to increased temperatures, accentuated evaporation of terrestrial water and increased the atmosphere moisture content, resulting in frequent droughts and heavy precipitation events. It necessary to assess the sensitivity of soil organic carbon (SOC) under storing practices in response to increasing soil moisture, temperature and frequent dry-wet cycles in order to anticipate future soil carbon losses. We evaluated the impact of these climatic events through an incubation experiment on temperate luvisols from conservation agriculture, organic agriculture, organic waste products applications, i.e. biowaste, residual municipal solid waste and farmyard manure composts compared with conventionally managemed soils. The alternative management options all have led to increased SOC stocks. Soil samples were incubated in the lab under different temperatures (20, 28 and 35°C), different moisture conditions (pF1.5; 2.5 and 4.2) and under dry(pF4.2)-wet (pF1.5) cycles. Dry-wet cycles caused CO2 flushes but overall did not stimulate soil carbon mineralization relative to wet controls (pF1.5 and pF2.5). Overall the additional SOC stored under alternative management options was not more sensitive to climate change (temperature, moisture, dry-wet cycles) than the existing SOC.

How to cite: Chenu, C., Kpemoua, I., Leclerc, S., Barre, P., Houot, S., Pouteau, V., and Plessis, C.: Are carbon-storing soils more sensitive to climate change? A laboratory evaluation for agricultural temperate soils., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12273, https://doi.org/10.5194/egusphere-egu22-12273, 2022.

EGU22-12833 | Presentations | SSS4.5

How soil sodification and pH restrict microbially mediated organic carbon turnover and aggregate formation: An artificial soil microcosm study 

Steffen Schweizer, Janosch Fiedler, Anne Boehm, Michael Dannenmann, Noelia Garcia-Franco, Jincheng Han, Christian Poll, Vanessa Wong, and Franziska Bucka

Exchangeable sodium can have pronounced influences on physicochemical soil properties whereas the combined impact on microbial turnover of organic carbon (OC) remains elusive. In this work, we aimed to differentiate the effects of exchangeable sodium and soil pH on microbially mediated aggregate formation and turnover of cattle slurry. We incubated the soils under controlled laboratory conditions using artificial soil model minerals containing quartz grains, montmorillonite and goethite. The montmorillonite was pre-treated with NaCl solutions of sodium adsorption ratios (SAR) 0, 1 and 5 which resulted in exchangeable sodium percentages (ESP) of 1, 7 and 19 on average. The soil pH was adjusted within two treatments to 7.5 and 8.5 for each ESP at the start of the incubation. We incubated these six treatments with and without cattle slurry ground to < 200 µm after addition of a combined microbial inoculum, extracted from a Cambisol (pHH2O 7.5, Germany) and a Calcaric Solonchak (pHH2O 9.3, Spain) added to all samples. The microcosms were incubated with three replicates over a period of 30 days at constant pF of 2.2. The CO2 emission measurements of the microcosms with exchangeable sodium indicated a delayed respiration. The respiration under ESP 19 increased rapidly within the first days of incubation, whereas it was more delayed under ESP 7 until 15 days of incubation. The delayed CO2 respiration might be related to inhibited structural formation in treatments with higher exchangeable sodium. To test this, we are investigating the data on water-stable aggregation by wet sieving. The delayed CO2 respiration was reflected in lower microbial biomass, extracted after the incubation. The microbial biomass under ESP 19 and pH 8.5 was highest whereas the amount of leached C after two rainfall events (at day 7 and 15) was lowest, which could be related to a higher microbially mediated OC sequestration. The composition of exchangeable cations was monitored before and after the whole incubation which might help explaining the processes of microbially mediated aggregate formation and microbial carbon turnover under different levels of exchangeable sodium.

How to cite: Schweizer, S., Fiedler, J., Boehm, A., Dannenmann, M., Garcia-Franco, N., Han, J., Poll, C., Wong, V., and Bucka, F.: How soil sodification and pH restrict microbially mediated organic carbon turnover and aggregate formation: An artificial soil microcosm study, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12833, https://doi.org/10.5194/egusphere-egu22-12833, 2022.

EGU22-13318 | Presentations | SSS4.5

Historical precipitation regimes structure the growth of soil microorganisms in three California annual grasslands 

Megan Foley, Steven Blazewicz, Karis McFarlane, Alex Greenlon, Michaela Hayer, Jeffrey Kimbrel, Benjamin Koch, Victoria Monsaint-Queeney, Keith Morrisson, Ember Morrissey, Jennifer Pett-Ridge, and Bruce Hungate

Earth system models project altered precipitation regimes across much of the globe. Soil microorganisms in Mediterranean climates must withstand both direct physiological stress during prolonged periods of low soil moisture and be able to compete for resources when seasonal rains return and plant growth resumes5. However, we do not have a mechanistic understanding of how altered soil moisture regimes affect microbial population dynamics and in turn how this will affect soil carbon (C) persistence.

We used quantitative stable isotope probing (qSIP) to compare total and growing soil microbial communities across three California annual grassland ecosystems with Mediterranean climates that span a rainfall gradient and have developed from similar parent material. Sampling was conducted during the wet season, when environmental conditions were most similar across the sites. We assessed multiple edaphic variables, including the radiocarbon (14C) age of soil C. We hypothesized that the long-term legacy effect of soil water limitation would be reflected in lower community growth capacity at the driest site. We also predicted that actively growing communities would be more compositionally similar across the gradient than the total (active + inactive) microbiome.

Community and phylum mean bacterial growth rates increased from the driest site to the intermediate site, and rates were similar at the intermediate and wettest sites. These differences were persistent across major phyla, including the Actinobacteria, Bacteroidetes, and Proteobacteria. Additionally, soil C at the driest site was younger than the wet or intermediate sites. The microbial families that grew fastest at the driest site include taxa that have been described as having traits that are advantageous for surviving dry spells, such as spore formation, polyhydroxyalkanoate accumulation, carotenoid biosynthesis, extracellular polymeric substances production, and trehalose synthesis. Microbial communities at the driest site displayed phylogenetic clustering, suggesting environmental filtering for slow-growing microbial taxa that can withstand water stress at this site. Taxonomic identity was a strong predictor of growth, such that the growth rates of a taxon at one site predicted its growth rates at the others. We think this finding reflects the influence of genetic and physiological constraints on growth which appear to persist across rainfall gradients, edaphic properties, and biological communities. Lastly, we found that actively growing taxa represented (28-58%) of the taxa comprising total communities and that the composition of growing and total communities were similar. The finding that the growing communities were just a subset of the total microbiome, despite environmental conditions being favorable for growth, raises questions about the mechanisms maintaining soil microbial diversity in ecosystems with Mediterannean-type climates.

How to cite: Foley, M., Blazewicz, S., McFarlane, K., Greenlon, A., Hayer, M., Kimbrel, J., Koch, B., Monsaint-Queeney, V., Morrisson, K., Morrissey, E., Pett-Ridge, J., and Hungate, B.: Historical precipitation regimes structure the growth of soil microorganisms in three California annual grasslands, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13318, https://doi.org/10.5194/egusphere-egu22-13318, 2022.

EGU22-13369 | Presentations | SSS4.5

Microbial responses to drying and rewetting: The interaction between soil structure and precipitation history 

Sara Winterfeldt, Lettice Hicks, Albert Brangarí, and Johannes Rousk

Intensified land-use management and climate change constitute two major challenges for maintaining the soil functions regulated by microbial communities. It is well known that tillage disturbs the soil structure by changing physical properties such as aggregation and water retention capacity, which both have an impact on microbial carbon cycling. In addition, extreme drought and rainfall events result in a significant release of carbon dioxide, where the amount of carbon respired depends on the legacy of precipitation. Thus, understanding the combined effect of land use and precipitation on microbial processes is important in order to predict the future terrestrial carbon cycle.

In this project, we investigated how both the precipitation history and the disruption of soil structure affect microbial growth and respiration during drying-rewetting. We expected that microorganisms in sites with lower historical precipitation might be used to drier conditions, and then exhibit a faster recovery after rewetting and lower respiration rates than those in wetter sites. We also expected that the disruption of soil aggregates would increase the respiration rates after rewetting. In addition, fungal growth would be more affected than bacterial growth due to a damaged hyphal network.

We selected 11 grasslands sites across an east-west precipitation gradient in Sweden ranging from 380 to 1220 mm mean annual precipitation. Three different experiments were carried out to determine the differences in microbial responses along this gradient, by measuring bacterial growth, fungal growth and respiration at high time resolution during seven days after drying-rewetting. First, we investigated the short-term effect of disturbing aggregates by grinding soils in the laboratory. We compared the results from undisturbed soils with those found after dry or wet crushing. Second, we studied the effect of soil structure disturbance in the field and if results from laboratory experiments could be extended to agricultural practices. For this, we established plots across the precipitation gradient, applied a tillage treatment with a rotary cultivator at the start of the growing season and measured microbial responses at the end of the summer. Third, we explored how the microbial responses to soil structure disturbances developed over time in the field. To do so, we used soil sampled from one site in the gradient after one week, one month and three months after disturbance.

Preliminary results showed that crushing soils in the laboratory accelerated the bacterial recovery after rewetting, but fungal growth and respiration were unaffected compared to undisturbed soil. In the field, the microbial responses over time strengthened up to one month after the tilled treatment. The microbial responses along the precipitation gradient showed the importance of land-use management for carbon cycling under future scenarios of intensified weather events.

How to cite: Winterfeldt, S., Hicks, L., Brangarí, A., and Rousk, J.: Microbial responses to drying and rewetting: The interaction between soil structure and precipitation history, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13369, https://doi.org/10.5194/egusphere-egu22-13369, 2022.

EGU22-1179 | Presentations | SSS4.6

Seasonal dynamics of soil microbial respiration, growth, biomass, and carbon use efficiency 

Jörg Schnecker, Ludwig Baldaszti, Philipp Gündler, Michaela Pleitner, Andreas Richter, Taru Sandén, Eva Simon, Felix Spiegel, Heide Spiegel, Carolina Urbina Malo, and Sophie Zechmeister-Boltenstern

Soil microbial growth, respiration and carbon use efficiency (CUE) are essential parameters to understand, describe and model the soil carbon cycle. While seasonal dynamics of microbial respiration are well studied, little is known about how microbial growth and CUE change over the course of a year, especially outside the plant growing season. In this study we measured soil microbial respiration, growth and biomass in an agricultural field and a deciduous forest 16 times over the course of two years. We sampled plots, at which harvest residues or leaf litter were either incorporated or removed. We observed strong seasonal variations of microbial respiration, growth and biomass. All microbial parameters were significantly higher at the forest site, which contained 3.5% organic C compared to the agricultural site with 0.9% organic C. CUE also varied strongly but was overall significantly higher at the agricultural site ranging from 0.1 to 0.7 compared to the forest site where CUE ranged from 0.1 to 0.6. We found that microbial respiration and to a lesser extent microbial growth followed the seasonal dynamics of soil temperature. Microbial growth was further affected by plant or foliage presence. At low temperatures in winter, both microbial respiration and growth rates were lowest. Due to higher temperature sensitivity of microbial respiration, CUE showed the highest values in the coldest months. Microbial biomass C was also strongly increased in winter. Surprisingly, this winter peak was not connected to high microbial growth or an increase in DNA content. This suggests that microorganisms accumulated osmo- or cryoprotectants but did not divide. This microbial winter bloom and following decline, where C is released and can be stabilized, could constitute the main season for C sequestration in temperate soil systems.  Highly variable CUE, and the fact that CUE is calculated from independently controlled microbial respiration and growth, ask for great caution when CUE is used to describe soil microbial physiology, soil C dynamics or C sequestration. Instead, microbial respiration, microbial growth and biomass should rather be investigated individually to better understand the soil C cycle.

How to cite: Schnecker, J., Baldaszti, L., Gündler, P., Pleitner, M., Richter, A., Sandén, T., Simon, E., Spiegel, F., Spiegel, H., Urbina Malo, C., and Zechmeister-Boltenstern, S.: Seasonal dynamics of soil microbial respiration, growth, biomass, and carbon use efficiency, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1179, https://doi.org/10.5194/egusphere-egu22-1179, 2022.

Soil extracellular enzyme stoichiometry (EES) reflects the biogeochemical balance between microbial metabolic requirements and environmental nutrient availability. Previous studies have focused on the perspective of nutrient acquisition, while soil microbial metabolic limitations (SMML) were minor in the focus of those studies. Therefore, how grassland succession drives SMML has mainly been under explored. Here, we used EES models to identify the response of SMML during grassland restoration while also investigating potential implications of microbial nutritional limitations across the time series (herbaceous succession) and with space (transformation interface soil and underlying topsoil layer) in a grassland restoration series. The results showed that soil microorganisms were generally limited by C, both in the transformation interface soil (TIS) and the underlying topsoil layer (UTS). During herbaceous succession, microbial P-limitation was more substantial than that by N-limitation. Microbial C-limitation displayed a uni-modal direction, peaking in intermediate successional stages. However, microbial P-limitation presented the opposite trend. In the TIS layer, SMML gradually transferred from P- to N- and back to P-limitation at later successional stages. Biotic factors, together with soil basic index, and soil nutrients, explained 92.2% of the variation in microbial C-limitation and 84.4% of the variation in microbial P-limitation. Multi-interaction factors show the most significant relative influences of 65.11% (TIS) and 43% (UTS) of the SMML, respectively. Microbial C-limitation was induced by the imbalance between C supply and microbial C demand, while the changes in microbial P-limitation were due to changes in the competition for P between plants and microorganisms. Therefore, the impacts of long-term grassland succession on SMML resulted from the concerted changes in vegetation composition, soil properties, and the nutritional demands of the soil microorganisms.

How to cite: Xue, Z., Liu, C., and Wolfgang, W.: Extracellular enzyme stoichiometry reflects the C-and P- microbial metabolic limitations along a grassland succession on the Loess Plateau in China., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3020, https://doi.org/10.5194/egusphere-egu22-3020, 2022.

EGU22-4304 | Presentations | SSS4.6

The role of maize root exudates to availability of N source in different forms in top- and subsoils 

Juanjuan Ai, Callum Banfield, Guodong Shao, Kazem Zamanian, Sandra Spielvogel, and Michaela Dippold

Nitrogen (N) availability is a main constraint to plant productivity, especially when vegetation relies largely on subsoils, which contain considerable N resources but in low availability. Rhizodeposition can promote N cycling by stimulating microbial growth and activity and thus induces the release of mineral-bound nutrients and accelerates decomposition of soil organic matter (SOM). However, many specific processes how root exudates interact with distinct N forms altering their subsoil mobilization still remain unclear. We hypothesize that the lower microbial activity but higher sorption capacity of subsoils induces subsoil-specific N dynamics. To disentangle this, we added four N sources (free NH4+, sorbed NH4+, urea and plant residues with identical total N content) into top-and subsoils. We quantified microbial processes regulating mineral and organic N availability in top-and subsoils by simulating rhizosphere condition via application of collected root exudates in a well-controlled microcosm experiment. Our results showed that neither growth of the total microbial community, nor shift in the community composition occurs based on maize root exudate amendment resembling a daily exudation amount. However, we observed a clear increase in microbial activity and activation of organic nutrient mobilizing mechanisms (e.g. enzyme activation), which was in most cases higher in sub- than in topsoils. This suggests that root exudates may not be of highest relevance for topsoil nutrient mobilization. In contrast, high root exudation is of much higher relevance for crops, which aim to mobilize a significant proportion of their nutrients from subsoils. We could demonstrate that subsoil communities were well capable of using litter-derived N, especially if root exudates accelerate overall activity and N cycling in subsoils. N incorporated from plant litter is successively recycled in microbial bio-and necromass following the initial degradation. Consequently, if breeding for deep-rooting crops with nutrient uptake from subsoils shall be promoted in the future, it is essential to ensure that these crops deep roots have a high root exudation to activate the highly C limited microbial communities of the subsoil.

How to cite: Ai, J., Banfield, C., Shao, G., Zamanian, K., Spielvogel, S., and Dippold, M.: The role of maize root exudates to availability of N source in different forms in top- and subsoils, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4304, https://doi.org/10.5194/egusphere-egu22-4304, 2022.

EGU22-4653 | Presentations | SSS4.6

Arbuscular mycorrhizal hyphosphere as a soil nutrient turnover hotspot 

Jan Jansa, Petra Bukovská, and Martin Rozmoš

Arbuscular mycorrhizal fungi (AMF) efficiently take up mineral nutrients such as phosphorus and nitrogen (N) from the soil solution, and trade them for organic carbon with their host plants. Acquisition of nutrients bound in organic forms by the AMF under unsterile soil conditions has previously been reported, assuming an important role of soil prokaryotes, yet mostly without proper mechanistic understanding. Here we present a synthetic approach to study involvement of such inter-kingdom interactions in utilization of organic nitrogen by a mycorrhizal plant. We employ 15N-labelled chitin (as an organic N source) added to AM fungal (Rhizophagus irregularis) hyphosphere under in vitro conditions, with or without other microorganisms. Upon presence of Paenibacillus sp., the AMF and their associated host plant obtained several-fold larger quantities of N from the chitin than they did with other bacteria, whether chitinolytic or not. Moreover, upon adding a protist Polysphondylium pallidum to the hyphosphere with Paenibacillus sp., the gain of N from the chitin by the AMF and their associated plant further and significantly increased by another 60+%, pointing to soil microbial loop as the underlying mechanism.

 

This work will appear shortly in the ISME Journal.

Reference: Rozmoš M, Bukovská P, Hršelová H, Kotianová M, Dudáš M, Gančarčíková K, Jansa J (2022) Organic nitrogen utilization by an arbuscular mycorrhizal fungus is mediated by specific soil bacteria and a protist. ISME Journal, in press. doi 10.1038/s41396-021-01112-8 .

How to cite: Jansa, J., Bukovská, P., and Rozmoš, M.: Arbuscular mycorrhizal hyphosphere as a soil nutrient turnover hotspot, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4653, https://doi.org/10.5194/egusphere-egu22-4653, 2022.

EGU22-5987 | Presentations | SSS4.6 | Highlight

Microbial functional traits and life strategies: Bridging physiological and molecular approaches 

Evgenia Blagodatskaya

The process of transformation of soil organic matter is dependent on functional traits of active microbial decomposers. Microbial functional traits, in turn are selected and driven by the local environmental conditions and can be subdivided into three groups. Microbial traits in the first group are very dynamic, for example, the size of the microbial fraction maintaining activity or alert state (active biomass) and the time required for dormant microorganisms to switch to active growth (i.e., lag time). The second group represents intrinsic functional traits of the microbial population, such as maximal specific growth rate (µm), generation time (Tg), and affinity of extracellular enzyme systems (Km) to soil organic substrates used for microbial growth. The third group refers to phenotypic traits at the level of functional genes, for example, those related to internal microbial metabolism, extracellular resource acquisition, or stress tolerance. Recent developments in molecular approaches have provided potential for microbial trait differentiation based on information regarding genome size, number of ribosomal gene copies per genome, and quantification of functional marker genes or their transcripts by -omics approaches (Li et al., 2019; Malik et al., 2020). This enabled to reconsider the classical concepts of microbial life strategies with the goal of specifying functional groups according to their ecological relevance considering microbial yield, resource acquisition, and stress tolerance (Ho et al. 2017, Krause et al. 2014; Malik et al., 2020). However, it remains challenging to identify proxies for specific traits that can serve as quantitative measures of a category. Based on literature review and own experiments, we compared the specificity of microbial physiological and phenotypic functional traits in contrasting soil environments. We demonstrated that mechanical disturbance of soil structure by tillage rather than chemical properties were responsible for reduction of total biomass and growing microbial fraction, for slower activity of C- and N-acquiring enzymes under conventional versus minimal tillage. High nutrient availability ensured by fertilization generally selected the microbial strategy with low total biomass but high abundance of active microorganisms. Microbial community adapted to resource depletion with soil depth was characterized by low total and growing biomass, retarded activity of enzymes decomposing plant and microbial residues and by accelerated activity and altered affinity of enzyme systems responsible for nutrients acquisition. Thus, environmental selection resulted in the activation of populations with intrinsic functional traits that are mostly suited to the individual soil habitat. This calls for the studies linking genetic and metabolic potential with microbial functions. However, synchronization of experimental design by sampling time is required for correct comparisons of microbial growth rates obtained by different approaches. 

How to cite: Blagodatskaya, E.: Microbial functional traits and life strategies: Bridging physiological and molecular approaches, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5987, https://doi.org/10.5194/egusphere-egu22-5987, 2022.

The rhizosphere is a dynamic region governed by the composition and pattern of root exudates, which in turn impact the beneficial or harmful relationships between the rhizosphere microbiome, which affect their function and plant performance. Successive wheat following wheat shows yield decline, hence, this rhizobox-study aims to illuminate and quantify the effects of subsequent wheat rotations for 3 years (W3) at different growth stages on glucose releasing rate and soil enzyme activity.

We hypothesized that the long-term wheat rotation leads to lower glucose release, which will result in lower microbial activity accompanied by the decline of enzyme production than the first year wheat rotation (W1) using soil samples collected from the experimental farm Hohenschulen, (CAU, Kiel) from 1st and 3rd wheat after break crop. Glucose Imaging was utilized for visualizing and localizing glucose exudation rate from wheat roots and β-glucosidase zymography, involved in the degradation of C substances, was applied for rhizoboxes at two growth stages (BBCH 31 (T1), BBCH 59(T2)).

Results showed that crop rotation affected glucose release from roots and β-glucosidase activity and this effect was more pronounced at the second sampling time at BBCH-59. The total hotspot area of enzyme activity declined at W3. Third wheat after break crop had the lowest hotspot percent for glucose release and β-glucosidase activity at BBCH-59 by 1.83 and 4.26 percent of total soil surface area, indicating 68.3 and 47 percent decline compared to W1, respectively. While rhizosphere extends for glucose release increased in W3 compared to W1 at the first sampling date, there was a strong decrease at the second sampling time by 60.2 percent. However, β-glucosidase activity extend around the wheat root at T1 had a decreasing trend from W1 toward W3 and there was a slight decrease at T2. Plants benefit from root exudates by stimulating beneficial microorganisms and improving nutrient acquisition. Decreasing glucose release, as a readily available energy source for microorganisms and declining C availability because of root senescence, leads to competition for C in rhizosphere among beneficial microbes and soil-borne pathogens. Continuous wheat cultivation accelerates root senescence, accompanied by more severe environment for soil microbes and higher abundancy of wheat pathogens which ultimately will affect wheat yield.

How to cite: Rashtbari, M.: Patterns of glucose release and enzyme activity affected by crop rotation and plant senescence, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6074, https://doi.org/10.5194/egusphere-egu22-6074, 2022.

EGU22-7721 | Presentations | SSS4.6

Linking litter decomposition characterized by the Tea Bag Index to soil microbial characteristics under long term manure and crop rotation management 

Yuting Fu, Marcos Paradelo, Sabine Ravnskov, Lis W. de Jonge, and Emmanuel Arthur

Soil microbiome is an important indicator of soil quality and it is related to various soil functions, including soil carbon cycling. Plant litter decomposition is a key process in carbon cycling, and the use of standardized plant litter for the comparison of decomposition rates between different conditions is a promising method. In this study, we aimed to investigate the difference in microbial community composition in long-term manure amended soils with different crop rotations, and its relationship with litter decomposition by using the Tea Bag Index (TBI) protocol. Green tea and rooibos tea bags were buried pairwise in three long-term experimental sites (LTEs) in Germany, Denmark and Sweden for three months. The TBI, i.e. decomposition rate and stabilization factor, was calculated from the weight loss of tea. The three LTEs have contrasting soil textures and had been manured between 20 and 127 years. The rotation elements in the LTEs include spring barley, winter wheat, winter oat, maize, and grass/clover. The microbial community composition was characterized by biomarkers (phospholipid fatty acids and neutral lipid fatty acids) and 16S and ITS sequencing. Enzyme activity was quantified by fluorescein diacetate hydrolysis analysis. The linkage between TBI and several microbial properties including microbial biomass, enzyme activity, the fungal:bacterial ratio, and the abundance and the diversity of the microbial community, will be discussed. The interactive effect of soil texture and management on the TBI and microbial properties will be addressed, which shall provide implications for soil quality and soil management.

How to cite: Fu, Y., Paradelo, M., Ravnskov, S., de Jonge, L. W., and Arthur, E.: Linking litter decomposition characterized by the Tea Bag Index to soil microbial characteristics under long term manure and crop rotation management, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7721, https://doi.org/10.5194/egusphere-egu22-7721, 2022.

EGU22-8437 | Presentations | SSS4.6

Effect of warming on β-glucosidase activity and root exudates depends on soil moisture: Combining Zymography with glucose imaging and enzyme kinetic 

Seyed Sajjad Hosseini, Sayeda Rabia Sultan, Mehdi Rashtbari, Amir Lakzian, and Bahar S. Razavi

Temperature and soil moisture strongly affect plant root exudates and enzyme activities. Global warming may stimulate root exudation and enzyme activities while drought can drop releasing of root exudates and inhibit enzyme activities. However, how the interaction of warming and drought regulate these processes in the rhizosphere is poorly known. To clarify these interactions, wheat plants were grown for one month at 20 and 30 ºC in drought (30% WHC) and optimum (70% WHC) condition. To investigate the pattern of root exudates releasing and enzyme activities, we combined β-glucosidase zymography with glucose imaging and enzyme kinetic.

Drought significantly decreased hotspots of glucose in compare to optimum condition at both temperatures. Releasing of glucose by wheat at 30 ºC was 53% lower than at 20 ºC in optimum condition. Hotspots of β-glucosidase activity in drought was 52% and 37.7% lower than in optimum at 20 and 30 ºC, respectively. β-glucosidase hotspot at 30 ºC was 12.2% lower than at 20 ºC in optimum condition. The results of enzyme kinetic (Vmax and Km) showed that drought decreased β-glucosidase activity in compare to optimum condition at both temperatures. β-glucosidase activity at 30 ºC was 2 times higher that at 20 ºC in optimum condition. On the contrary, it was 56% lower than at 20 ºC in drought condition. Drought increased Km at 20 ºC while decreased it at 30 ºC in compare to optimum condition. The affinity of β-glucosidase for substrates in optimum condition was not affected by temperature. Km value at 30 ºC was lower than at 20 ºC in drought condition. According to these results, the warming in optimum condition (high labile carbon availability) decreased enzyme production and substrates release and did not change the affinity of enzyme for substrates. While warming in drought condition (low labile carbon availability) produced an enzyme pool with high efficiencies and did not change enzyme production and substrates release.

How to cite: Hosseini, S. S., Sultan, S. R., Rashtbari, M., Lakzian, A., and Razavi, B. S.: Effect of warming on β-glucosidase activity and root exudates depends on soil moisture: Combining Zymography with glucose imaging and enzyme kinetic, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8437, https://doi.org/10.5194/egusphere-egu22-8437, 2022.

EGU22-8562 | Presentations | SSS4.6

Effect of root hairs and benzoxazinoids on maize microbiome and its enzymatic activity in the rhizosphere 

Nataliya Bilyera, Jan Waelchli, Lingling Shi, Veronica Caggia, Xuechen Zhang, Klaus Shlaeppi, Michaela A. Dippold, Bahar S. Razavi, and Sandra Spielvogel

Root morphology and the composition of root exudates shape the spatial organization and various processes in the rhizosphere. For instance, root hairs are essential for plant nutrition, while secondary plant metabolites (i.e. benzoxazinoids) ensure plant defence from herbivore and fungal infection. Nevertheless, it is still unknown to which extent root hairs and benzoxazinoids may change the microbiome and enzymatic activities, as well as formation of rhizosphere hot- and coldspots.

To study the effect of root hairs and benzoxasinoids on the rhizosphere microbiome structure and its enzymatic activities we compared mutants with defective root hairs rth3 or with reduced benzoxazinoids bx1 with the corresponding wild-type (WT) maize.

Root hairs increased acid phosphatase activity by 80 % promoting mineralization of organic phosphorus sources to available forms in the hotspots. In the coldspots, broken root hairs in WT facilitated the intensive microbial hotspots with up to two times higher β-glucosidase and chitinase activities, compared to rth3.

The presence of benzoxazinoids in root exudates strongly supported plant defence against pathogenic fungi (i.e., genus Fusarium and Gibberella) while the total microbial biomass remained unaffected. In response to the presence of pathogenic fungi, bx1 exuded 70 % more chitinase for defence purpose to partly compensate for benzoxazinoids deficiency, which was however, less efficient against pathogens than the presence of benzoxazinoids.

Overall, we conclude that: i) root hairs facilitate better plant nutrition at the shortage of available nutrients (i.e., coldspots), while; ii) the presence of benzoxazinoids in exudates protect plant from pathogenic microorganisms. This two root traits are promising for plant breeding of genotypes suitable for sustainable agriculture and organic farming.

How to cite: Bilyera, N., Waelchli, J., Shi, L., Caggia, V., Zhang, X., Shlaeppi, K., Dippold, M. A., Razavi, B. S., and Spielvogel, S.: Effect of root hairs and benzoxazinoids on maize microbiome and its enzymatic activity in the rhizosphere, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8562, https://doi.org/10.5194/egusphere-egu22-8562, 2022.

EGU22-9981 | Presentations | SSS4.6

Potential return on investment that microbial communities can obtain from the consumption of organic matter determines overall soil microbial activity 

Naoise Nunan, Louis Dufour, Anke Herrmann, Julie Leloup, Cédric Przybylski, Ludovic Foti, and Luc Abbadie

Microbial communities are a critical component of the soil carbon (C) cycle as they are responsible for the decomposition of both organic inputs from plants and of soil organic C. However, there is still no consensus about how to explicitly represent their role in terrestrial C cycling. The objective of the study was to determine how the properties of organic matter affect the metabolic response of the resident microbial communities in soils, using a bioenergetics approach. This was achieved by cross-amending six soils with excess water-soluble organic matter (WSOM) extracted from the same six soils and measuring heat dissipated due to the increase in microbial metabolic activity. The conditions of the experiment were chosen in order to replicate conditions in activity hotspots. The metabolic activity was then related to the potential return on investment (ROI) that the microbial communities could derive from the WSOM. The objective of the study was to determine how different energetic profiles in available organic avec the metabolic response of different microbial communities.

The ROI was calculated as the ratio between the total net energy available (ΔE) in the WSOM and the weighted average standard state Gibbs energies of oxidation half reactions of organic C (ΔG°Cox) of the molecules present in the WSOM. The ΔE was measured as the heat of combustion of the WSOM, which was measured using bomb calorimetry. ΔG°Cox was estimated from the average nominal oxidation state of C (NOSC), which itself was determined from the elemental composition of each molecular species in the organic matter amendments analyzed by Fourier transform ion cyclotron resonance mass spectrometry. The soil bacterial community structure was determined by 16S rRNA gene sequencing and using the weighted UniFrac distance of rarefied amplicon sequence variants data.

We found that the potential ROI that microbial communities could obtain from the consumption of the added organic matter was positively related to the overall metabolic response of microbial decomposers. However, the observed temporal differences in metabolism across soils indicate that bacterial communities do not exploit energetic return-on-investment in the same ways. Overall, our results suggest that microbial communities preferentially use organic matter with a high energetic return on investment.

How to cite: Nunan, N., Dufour, L., Herrmann, A., Leloup, J., Przybylski, C., Foti, L., and Abbadie, L.: Potential return on investment that microbial communities can obtain from the consumption of organic matter determines overall soil microbial activity, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9981, https://doi.org/10.5194/egusphere-egu22-9981, 2022.

EGU22-10214 | Presentations | SSS4.6

Clubroot and soil biology – from ecology to biocontrol? 

Arne Schwelm and Stefan Geisen

Interactions between plants, soil, and microbiota makes the rhizosphere of central importance for ecosystem functioning. Although non-pathogenic organism dominate this rhizobiome, plant pathogens have an important functional role for plant performance. In fact, plant pathogens trigger plant defence and alter the metabolism, nutrient flow and survival of the host, leading to changes in overall plant performance which feeds-back to the rhizobiome. However, the links between soil-borne pathogens and the rhizobiome are only starting to be explored. Here we focus on the clubroot pathogen Plasmodiophora brassicae, a pathogen that forces farmers to abandon cultivation of Brassica species for more than a decade, to decipher pathogen impact on the rhizobiome. Furthermore, we aim to identify potentially disease suppressive and disease conducive microbiome members, including bacteria, fungi, protists and animals. We are performing complex plant and soil physicochemical analyses to decipher underlying drivers of taxonomic and functional changes in the rhizobiome to clubroot infection including the impact of the detritusphere. The results of this studies will give an important insight of the ecological role of plasmodiophorid species on the plants and its rhizobiome. Additionally, by identifying pathogen suppressive and conducive soil biota new biocontrol applications can be developed that will also be useful to control other soil-borne pathogens. In this presentation we will provide the framework of the research and initial findings that provide first ideas on the importance of the plant-clubroot-rhizobiome connections.

How to cite: Schwelm, A. and Geisen, S.: Clubroot and soil biology – from ecology to biocontrol?, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10214, https://doi.org/10.5194/egusphere-egu22-10214, 2022.

EGU22-12827 | Presentations | SSS4.6

Composition of Soil Fungal and Bacterial Communities and their Relation with Soil Physicochemical Properties under different Agricultural managements in a Mediterranean Almond Orchard 

Onurcan Ozbolat, Raúl Zornoza, Virginia Sánchez-Navarro, Jessica Cuartero, Margarita Ros, Loredana Canfora, Luigi Orrù, María Martínez-Mena, Carolina Boix-Fayos, and Maria Almagro

Soil microbiome is the most diverse ecosystem in the world and carries out some of the most important soil functions through nutrient cycling. Agroecosystem health and sustainability are strongly connected to understanding soil microbiome and its composition, yet unknown in many agricultural areas. In this study we compared in a rainfed almond orchard in Spain the long-term effect of intensive tillage (IT), reduced-tillage (RT) and reduced-tillage with alley cropping (RTAC) on soil fungal and bacterial communities and their interrelationship with soil physicochemical properties and almond yield. Fungi and bacteria population were characterized using next-generation sequencing technology. Soil organic C, total N and particulate organic C were were significantly higher in RT and RTAC treatments compared to IT, with no significant differences concerning cation exchange capacity, ammonium or nitrates. RTAC showed the highest proportion of macro-aggregates (>250 µm). Richness and diversity indices showed no significant differences among treatments for fungal and bacterial communities. Within bacterial genera, we observed higher abundance of Sphingomonas, Streptomyces, Blastococcus, and Nocardioides in RT and RTAC treatments. Within fungi genera, Mortierella, Coprinopsis and Chaetomium showed higher abundance in IT. Multivariate analysis showed that soil fungal and bacterial communities were different depending on the treatment, mostly associated to changes in soil organic C. Deep identification of bacterial and fungal taxa may give light to the understanding of soil microbiome and functions in almond orchards, and brings the producers one step closer to make productive areas more sustainable related to soil C sequestration and fertility.

How to cite: Ozbolat, O., Zornoza, R., Sánchez-Navarro, V., Cuartero, J., Ros, M., Canfora, L., Orrù, L., Martínez-Mena, M., Boix-Fayos, C., and Almagro, M.: Composition of Soil Fungal and Bacterial Communities and their Relation with Soil Physicochemical Properties under different Agricultural managements in a Mediterranean Almond Orchard, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12827, https://doi.org/10.5194/egusphere-egu22-12827, 2022.

EGU22-651 | Presentations | SSS4.8 | Highlight

Exploring the contribution of free-living nematodes in soil to plant health 

Olivera Topalović and Stefan Geisen

Soil is a reservoir of a myriad of plant-beneficial to plant-hostile (micro)organisms. Plant-parasitic nematodes (PPN), which contribute to around 15% of annual global yield losses, are particularly important soil-borne pests. Several bio-products based on specific microbial strains with PPN-antagonistic properties have appeared on the market as an alternative to the environmentally harmful chemical pesticides, but the efficiency of these bio-products is usually low in the field. By contrast, we know nothing about the potential and antagonistic mechanisms of complex assemblages of soil microorganisms and of free-living nematodes as the most abundant animals on Earth in regulating PPN damage on plants. Here we present how the microbiome associates with PPN in soil and explore the potential of free-living nematodes to boost the antagonistic effects of these microbiomes. We show that the soil-borne stages of PPN acquire specific microbiomes on their surface and that different factors including the soil type, nematode designation, microbial density and competition affect the outcome of microbial attachment to nematodes. We also show that some of these microbiomes suppress PPN and reduce their root-invasion rate. In addition to a direct antagonism, we demonstrate that some PPN-attached microorganisms are able to trigger pathogen-associated pattern-triggered immunity in plants upon nematode penetration into the roots. We are currently expanding these results by elucidating how the biological action of nematode-antagonistic microbes can be increased in a native soil system that is dominated by free-living nematodes. Together we show the importance of the complexity of soil biodiversity as a potent player in the suppression of PPN and therefore as a potential measure to increase sustainability in agriculture.

How to cite: Topalović, O. and Geisen, S.: Exploring the contribution of free-living nematodes in soil to plant health, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-651, https://doi.org/10.5194/egusphere-egu22-651, 2022.

EGU22-1208 | Presentations | SSS4.8 | Highlight

Rhizosphere carbon priming: a plant mechanisms to enhance soil nitrogen accessibility? 

Maire Holz and Johanna Pausch

Soil C priming is a short-term change in the turnover of soil organic matter caused by the addition of easily available organic C to the soil. The increase in SOM decomposition during priming is likely to affect not only C- but also gross N mineralization from SOM because large amounts of soil N is stored in SOM that is decomposed during priming. In order to assess whether soil C priming results in an increase in gross and mineralization and finally in enhanced plant N availability and uptake, we searched the literature for studies relating soil C priming to soil N cycling. In order to assess the effect of soil priming on soil N cycling we included studies quantifying soil C priming (PE) and gross N mineralization (GNM) in plant systems and in incubation setups. Secondly, we searched for studies measuring GNM in dependence to addition of C to the system. The third data set comprised studies, quantifying PE and the % of soil N derived N uptake as well as total N uptake of plants. Finally we included studies that quantified soil priming and enzyme activities in the respective soil samples. In order to be able to compare PE to GNM, % of soil N derived N uptake and soil enzyme activities respectively, we calculated the excess of GNM, % of soil N derived N uptake and soil enzyme activities by subtracting the parameter values of the control from the treatment values. We found a significant positive relation between soil C priming and GNM for studies with plants (R2=0.21) indicating that soil priming caused by root exudation increased soil N mineralization. In agreement with this, activities of enzymes related to the N cycle were positively related to priming (p=0.09), though, due to the small number of studies, the enzyme results must be interpreted with caution. In contrast to plant studies, the relation between soil C priming and GNM was significantly negative for incubation studies (R2=0.06). These contrasting results for plant and incubation studies indicate that incubation studies might not adequately reflect processes occurring in the rhizosphere. It is possible that plants attract particularly N mineralizing microbes for example by exudation of signaling compounds, a process that would not be reflected in incubation studies. We also found a significant positive relation between soil C priming and the % of soil N derived N uptake by plants (R2=0.56) and total plant N uptake (R²=0.21) indicating that at least part of the N mineralized during priming was available to, and taken up by the plants. In conclusion, the results of our meta-analysis indicate that rhizosphere C priming positively feeds back to plant N nutrition by causing increased N mineralization in the rhizosphere that facilitates plant N uptake.

How to cite: Holz, M. and Pausch, J.: Rhizosphere carbon priming: a plant mechanisms to enhance soil nitrogen accessibility?, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1208, https://doi.org/10.5194/egusphere-egu22-1208, 2022.

EGU22-3344 | Presentations | SSS4.8 | Highlight

Inter-plant C Transfer and Associations between Plant-assimilated C Inputs and Soil Pores 

Alexandra Kravchenko, Hongbing Zheng, Yakov Kuzyakov, and Andrey Guber

Greater plant diversity facilitates soil C gains, yet the exact mechanisms of this effect are still under intensive discussion. Whether a plant grows in monoculture or in an inter-cropped mixture can affect allocation of plant assimilates, belowground exudation, and microbial stimulation. The goal of this study was to examine the effects of inter-cropping on a previously overlooked aspect of plant-soil interactions, namely, on locations where plant assimilated C is allocated within the soil pore system and its subsequent fate in relation to soil pores. The soil for the study originated from a greenhouse experiment with switchgrass (Panicum virgatum L.) (var. Cave'n'Rock) (SW), big bluestem (Andropogon gerardii Vitman) (BB), and wild  bergamot (Monarda fistulosa L.) (WB) grown in monocultures and in inter-cropped pairs and subjected to species specific C pulse labeling (Kravchenko et al., 2021). Intact soil cores (8 mm Ø) were collected from the experimental pots, subjected to a short-term (10 day) incubation, X-ray computed micro-tomography (μCT) scanning, and soil C micro-sampling "geo-referenced" to μCT images. Results indicated that in the plant systems with demonstrated interplant C transfer soil C was positively correlated with <10 μm Ø pores immediately after plant termination and with 20-80 μmØ pores after the incubation. In the systems without marked interplant C transfer, soil C was positively correlated with 20-30 μm Ø pores, however, the correlations disappeared after the incubation. Soils from the systems with demonstrated belowground C transfer displayed lower losses of root-derived C during incubation than the systems where interplant C transfer was negligible. These differences suggest dissimilarities in the possible mechanisms of adding photoassimilated C to the soil: via mycorrhizal hyphae into small sized pores vs. via roots into mediumsized pores. In the latter case the plant-derived C was quickly lost during subsequent incubation. Our findings indicate that greater losses of plant assimilated C from the soil often reported during comparisons of monocultures with inter-cropped plant mixtures are related not only to monoculture vs. polyculture dichotomy, but to the route of plant C additions to the soil and its localization within the soil pores.

How to cite: Kravchenko, A., Zheng, H., Kuzyakov, Y., and Guber, A.: Inter-plant C Transfer and Associations between Plant-assimilated C Inputs and Soil Pores, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3344, https://doi.org/10.5194/egusphere-egu22-3344, 2022.

EGU22-3419 | Presentations | SSS4.8 | Highlight

The role of root physiological and structural plasticity for carbon allocation in plant-soil systems 

Tino Colombi and Arjun Chakrawal

Plant roots are essential for acquiring water and nutrients from soils and constitute a major input source for soil organic matter. Plants invest a significant proportion of the photosynthetically fixed carbon into the growth and maintenance of their root system. The carbon supplied from the shoot fuels both anabolic (i.e., biosynthesis including root growth) and catabolic (i.e., respiration and fermentation) processes in roots. The partitioning of carbon between anabolic and catabolic processes can be expressed as the carbon use efficiency of roots. Root carbon use efficiency determines how much of the total carbon allocated to roots remains in the plant-soil system in the form of root biomass and how much carbon is lost via catabolic pathways. Hence, the carbon use efficiency of roots plays a pivotal yet underexplored role for root growth and associated ecosystem functions such as primary production and carbon sequestration. Here, we present a conceptual framework to assess carbon allocation patterns in plant-soil systems that explicitly accounts for the interactions among root physiology, root trait plasticity, whole plant growth, and soil conditions. Using our framework, we illustrate how soil conditions such as soil aeration, soil moisture, and soil strength interfere with root carbon use efficiency and carbon allocation patterns between different plant organs. We show how edaphic stress and the resulting decrease in root carbon use efficiency may limit root growth, thereby reducing whole plant productivity and inputs of organic matter to soil. Moreover, we provide theoretical and experimental evidence that the plasticity of root structural traits such as cortical cell size and cortical cell number enables plants to maintain their growth upon decreased carbon use efficiency of roots. This suggests that root trait plasticity is a key mechanism that allows plants to adjust to edaphic stress and heterogenous soil environemnts. We, therefore, propose that the framework presented here may provide new insights into the complex interactions between root physiology, soil (micro-)environments, and associated soil functions.

How to cite: Colombi, T. and Chakrawal, A.: The role of root physiological and structural plasticity for carbon allocation in plant-soil systems, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3419, https://doi.org/10.5194/egusphere-egu22-3419, 2022.

EGU22-4428 | Presentations | SSS4.8 | Highlight

Colloid-facilitated transport of hydrolytic enzymes in soils 

Andrey Guber and Alexandra Kravchenko

Colloids are known to facilitate transport of a broad variety of chemicals and microorganisms in soils. Extracellular hydrolytic enzymes, produced by many soil microorganisms and plant roots, have high affinity to clay and silt particles constituting soil mineral colloids (SMC). Therefore, those enzymes can be released jointly with colloids from soil matrix during high water flow events and transported convectively attached to the colloids carried by the water flow. At the same time hydrolytic enzymes are often considered as free-mobile proteins with a self-propelled diffusion mechanism. Current literature lacks any information on enzyme transport in soils, and it is not clear whether enzymes are transported and, if so, whether they are transported in free- or colloid-associated form. Studying enzyme transport in soils is challenging due to infeasibility of their enumeration in soil solutions and suspensions, differences in activity of free and colloid-associated enzymes, the influence of colloid size and composition, pH and ionic strength in the colloidal suspensions on the enzyme activity. This study presents the first experimental evidence of enzyme transport in soils facilitated by SMC in sandy, loamy and two sandy-loam soils. Its results suggest from 50 to 80% of transported hydrolytic enzymes are associated with transport of coarse SMC. The remaining 20 to 50% of enzymes are likely transported by organic colloids and fine SMC (Ø < 1 mm). The ionic strength played a dual role in the joined enzyme and colloidal transport: (1) by affecting dispersion and release of SMC colloids from soil; and (2) modifying optimum pH of enzymatic activity in released colloidal suspensions. Our results provided insights into factors governing plant-soil-microbial interactions through the transport and activity of hydrolytic enzymes. Support for this research was provided by the NSF LTER Program (DEB 1027253) at the Kellogg Biological Station, by USDA NC1187 project, by the Great Lakes Bioenergy Research Center, U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research under Award Number DE-SC0018409.

How to cite: Guber, A. and Kravchenko, A.: Colloid-facilitated transport of hydrolytic enzymes in soils, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4428, https://doi.org/10.5194/egusphere-egu22-4428, 2022.

EGU22-4940 | Presentations | SSS4.8

Straw amendment as a double-edge sword controlling N losses and immobilization over winter cooling 

Hao Chen, Sergey Blagodatsky, Christoph Rosinger, Rüdiger Reichel, Bo Li, Amit Kumar, Steffen Rothardt, Jie Luo, Nicolas Brüggemann, Henning Kage, and Michael Bonkowski

Nitrogen (N) lost from the agricultural field as leachate and nitrous oxide (N2O) gas causes water pollution, accelerates global warming and decreases agricultural N use efficiency. Soil amendments with straw and nitrification inhibitors are used to combat these problems by increasing microbial N immobilization and suppressing nitrification, respectively. The potential N competition between soil microorganisms and subsequent crops under the incorporation of pre-crop straw can be moderated by seasonal temperature variation, but this interfering factor is insufficiently studied. A 99-days mesocosm experiment that simulated the seasonal temperature variation was conducted, to investigate the effects of wheat straw amendment (WSA) and nitrification inhibitor (NI) on the competition for soil N between soil microbes and winter barley under three N fertilization levels (N0 as control, N1 as low N fertilizer, N2 as high N fertilizer), and N lost from soil as N2O and leachate. Strong mineralization was detected after the cooling-warming cycle, which happens in early spring frequently in Germany. Soil NH4+ of all treatments were increased by 34-138 % and soil NO3 of N2 levels were increased by 42-133 % during this process, providing mineral N for barley growth but also imposing the risk of N losses. Straw incorporation stimulated immobilization of N by soil microorganisms, increased soil microbial biomass C and N by 45-123 % till the end of experiment, thus decreased the total N lost by 41 % on average by decreasing N leaching (43-91 %), NI mitigated N2O emission by 40 % in N2 levels, the combination of WSA and NI could mitigate N losses and global warming. However, the immobilized N under WSA was not remineralized timely during barley growth, therefore, barley shoot biomass (by 23-34 %) and N (by 28-46 %) decreased in N0 and N1 fertilizer levels, the shoot nitrogen use efficiency (NUE) decreased in N1 (by 53 %) and N2 (by 30 %) fertilizer levels. Considering the strong (long term) N immobilization induced by straw, we suggest applying straw and N fertilizer separately to avoid N competition between soil microorganisms and crops.

How to cite: Chen, H., Blagodatsky, S., Rosinger, C., Reichel, R., Li, B., Kumar, A., Rothardt, S., Luo, J., Brüggemann, N., Kage, H., and Bonkowski, M.: Straw amendment as a double-edge sword controlling N losses and immobilization over winter cooling, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4940, https://doi.org/10.5194/egusphere-egu22-4940, 2022.

EGU22-5070 | Presentations | SSS4.8

Enzyme activity gradients across the maize roots 

Zeeshan Ibrahim, Negar Ghaderi, and Evgenia Blagodatskaya

The labile organic compounds provided by roots remove the nutrient limitation and thus stimulate microbial activity and facilitate biochemical process rates into the soil, forming microbial hotspots. However, the extent of root effect and the functional properties of microorganisms are dependent on the root morphology and can vary with the distance from the root. The objective of this study was 1) to investigate whether biochemical processes mediated by hydrolytic enzymes that are involved in C, N, and P cycling, are overlapping in the rhizosphere hotspots or whether they are hotspot-specific and 2) to evaluate the effect of plant genotype on the kinetic parameters in the hotspots. We identified the hotspots from two maize (Zea mays L.) plant genotypes (wild type and root hair deficient mutant) by applying zymography of β-glucosidase, acid phosphatase, and leucine aminopeptidase. Soil samples were taken at 1, 1-2, and >2mm from the hotspots epi-centrum.  The Vmax of β-glucosidase was 1.7 times higher at a 1mm distance from roots than 1-2mm and was 4 times higher than >2mm distance. The Vmax of β-glucosidase was significantly higher in the wild type versus root hair-deficient mutant at a 1mm distance from the root. Acid phosphatase and leucine aminopeptidase in both 96-well microplate and image processing indicated higher enzymes activity at the epi-centrum than outside the hotspot. In general, the microplate assay demonstrated similar trends with soil zymography, but the latter ensured better statistical significance. The Km values indicated similar enzyme systems within and outside the hotspots across the plant roots. The Km values suggested that root hair deficiency was compensated by higher affinity of enzymes acquiring C, N and P for the plant. In contrast, wild type of maize attracts microorganisms with broader spectrum of functional traits compared to root hair-deficient mutant. This work was conducted within the framework of the priority program 2089 “Rhizosphere spatiotemporal organization – a key to rhizosphere functions”, funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project number: 403664478. Seeds of the maize were provided by Caroline Marcon and Frank Hochholdinger (University of Bonn).

Keywords: Zymorgaphy, Enzyme activity, Enzyme affinity

How to cite: Ibrahim, Z., Ghaderi, N., and Blagodatskaya, E.: Enzyme activity gradients across the maize roots, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5070, https://doi.org/10.5194/egusphere-egu22-5070, 2022.

EGU22-5201 | Presentations | SSS4.8 | Highlight

Advances in understanding the efficacy of root hairs in water uptake 

Mutez Ali Ahmed, Cai Gaochao, Patrick Duddek, Mohanned Abdalla, and Andrea Carminati

Although the impact of root hairs (RHs) in nutrients uptake is well documented, their role in water uptake and drought tolerance remains controversial. Maize wild type and its hair-defective mutant (rth3) were grown in two contrasting soil textures (sand and loam). We used a novel root pressure chamber to measure the relation between transpiration rate (E) and leaf xylem water potential (ψleaf_x) during soil drying. The hypotheses were: 1) RHs extend the root-soil contact and reduce the decline in ψleaf_x at high E in dry soils; 2) the impact of RHs is more pronounced in sand; and 3) mutants partly compensate for the lack of RHs by producing longer and/or thicker roots. The ψleaf_x(E) relation was linear in wet conditions and became nonlinear as the soils dried. The nonlinearity of the relation occurred more abruptly and at less negative matric potentials in sand (ca. -10 kPa) than in loam (ca. -100 kPa). At slightly more negative soil matric potentials, soil hydraulic conductance became smaller than root hydraulic conductance in both soils. Both genotypes exhibited ca. 1.7 times longer roots in loam, but 1.6 times thicker roots in sand. No differences were observed in the ψleaf_x(E) relation and active root length between the two genotypes. Root hairs had no contribution to soil-plant hydraulics in maize in both sand and loam. These results suggest that the role of root hairs cannot be easily generalized across species and the response of root hydraulics to soil drying is remarkably affected by soil textures.

How to cite: Ahmed, M. A., Gaochao, C., Duddek, P., Abdalla, M., and Carminati, A.: Advances in understanding the efficacy of root hairs in water uptake, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5201, https://doi.org/10.5194/egusphere-egu22-5201, 2022.

Correct image segmentation is the pre-requisite for identifying classes of objects in microscopic datasets in order to determine relationships between them. We recently reported on a novel embedding protocol for rhizosphere samples based on the hydrophilic acrylic LR-white resin.1 X-ray µ-CT data measured on such embedded samples shows only minimal contrast between root and resin which renders segmentation of these data is difficult or even impossible using common methods based on thresholding of histograms or detection of edges.

Here, we demonstrate how this barrier can be overcome using deep learning of convolutional neural networks based on U-Net architecture.2 We show successfully segmented roots from resin, where classical machine learning approach Random Forest was not successful in our attempts. Firstly, the embedded samples were characterised by X-ray µ-CT and cut by a water-jet. Roots on the exposed 2D section were identified using epifluorescence and helium ion microscopy. The analysed 2D image plane was then correlated with the X-ray µ-CT data for accurate classification of training 3D image pixels. With a given input image (in this case a greyscale micrograph of resin embedded soil), a trained U-Net model with minimal labelled pixels, semantically segmented the X-ray data set showing roots, soil and pores. Using multiple deep learning algorithms, the U-Net was the most promising architecture to segment rhizosphere X-ray µ-CT and we show the different input parameters which can improve the segmentation process. The deep learning experiment was carried out with the ORS dragonfly image processing software. We show an accurate and fast approach that can be used to segment LR-white embedded rhizosphere X-ray CT data to roots-soil-and pores for further correlative microscopy analysis to interpret complex rhizosphere processes in the future.

Author Contributions: CB embedded the soil samples and trained the deep learning algorithms, Eva Lippold acquired and reconstructed CT data, Matthias Schmidt acquired helium ion microscopy data and discussions on improving data segmentation.

Acknowledgement: This work was conducted within the framework of the priority program 2089, “Rhizosphere spatiotemporal organization-a key to rhizosphere functions” funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project number RI-903/7-1. Funding is acquired by Niculina Musat and Hans Richnow. Authors acknowledge the analytical facilities of the Centre for Chemical Microscopy (ProVIS) at the Helmholtz Centre for Environmental Research, Leipzig, Germany, which is supported by the European Regional Development Funds (EFRE - Europe funds Saxony) and the Helmholtz Association. Authors thank Object Research Systems for providing a free Dragonfly commercial licence for use in this work.

References

  • Bandara, C. D.; Schmidt, M.;  Davoudpour, Y.;  Stryhanyuk, H.;  Richnow, H. H.; Musat, N., Microbial Identification, High-Resolution Microscopy and Spectrometry of the Rhizosphere in Its Native Spatial Context. Frontiers in Plant Science 2021, 12 (1195).
  • Ronneberger, O., Fischer, P., Brox, T. U-Net: Convolutional Networks for Biomedical Image Segmentation 2015.

How to cite: Bandara, C., Lippold, E., and Schmidt, M.: A Novel Deep Learning Approach for Complete Segmentation of Roots, Soil and Pores in X-ray Tomography Data of Acrylic Resin Embedded Rhizosphere, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6207, https://doi.org/10.5194/egusphere-egu22-6207, 2022.

EGU22-7128 | Presentations | SSS4.8

Development of micro-zymography: microscopic visualization of enzymatic activity in soil aggregates and Zea mays L. root 

Negar Ghaderi, Hannes Schmidt, Steffen Schlüter, Callum Banfield, and Evgenia Blagodatskaya

Enzymes are secreted by microbial cells into the soil to catalyze the acquisition of carbon or nutrients like nitrogen and phosphorus from soil organic matter. Apart from microorganisms and soil fauna, roots also secrete enzymes to mobilize nutrients from the soil nutrient pool. Thus, living plants and microorganisms are considered the main sources of soil enzymes in agroecosystems. To understand how exo-enzymes are distributed in soil microhabitats, and whether enzymatic activity is higher in soil solution or on particle surfaces, we visualized enzymatic activity at the corresponding scale. Visualization of enzymatic activity links microbial functioning to localization in heterogeneous soil habitats. To assess enzymatic reactions in soil at the microscopic level, we developed a micro-zymography approach based on fluorogenically-labeled substrate (phosphomonoesterase) in the rhizosphere soil of Zea mays L. For this, first we compared different fixatives required to prevent sample drying and found super transparent silicon as the most appropriate one. Then we evaluated micro-zymography i) on individual soil aggregates, ii) on thin layers of aggregates (≈ 500 µm) to assess the dynamics of phosphomonoesterase activity, and iii) on maize roots under laser scanning microscope. The results demonstrated that the main fluorescence signal shifted from the soil solution to the interface between the soil solution and aggregates within 30 min after substrate addition and was finally only detectable on the surface of a few aggregates. This was probably due to higher microbial abundance and enzymatic activity on the soil aggregates compared to the soil solution. The enzymatic activity appeared patchy on the aggregate surfaces indicating heterogeneous distribution of microorganisms. Similarly, a patchy distribution of enzymatic activity was detected on maize root surfaces. This work was conducted within the framework of the priority program 2089 “Rhizosphere spatiotemporal organization – a key to rhizosphere functions”, funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project number: 403664478. Seeds of the maize were provided by Caroline Marcon and Frank Hochholdinger (University of Bonn).

Keywords: exo-enzyme, micro-zymography, fixative

How to cite: Ghaderi, N., Schmidt, H., Schlüter, S., Banfield, C., and Blagodatskaya, E.: Development of micro-zymography: microscopic visualization of enzymatic activity in soil aggregates and Zea mays L. root, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7128, https://doi.org/10.5194/egusphere-egu22-7128, 2022.

EGU22-7241 | Presentations | SSS4.8

Can ferric iron reduction in paddy soils compensate phosphorus limitation of rice plants and microorganisms? 

Chaoqun Wang, Michaela Dippold, Georg Guggenberger, and Maxim Dorodnikov

Biogeochemical cycles of phosphorus (P) and iron (Fe) are tightly intertwined, especially in highly weathered and acidic subtropical and tropical soils rich in ferric Fe (Fe(III))oxides. In low-redox and P-deficient paddy soils, the quantitative contribution of the reductive dissolution of Fe(III)-bound P (Fe-P) to the demands of rice plants (Oryza sativa L.) and microorganisms remains unclear. We hypothesized that Fe(III) reductive dissolution can cover the P demand of microorganisms but not of rice plants during the initial growth stages, when P demand is high but the root system is still limited. We grew pre-germinated rice plants for 33 days in flooded rhizoboxes filled with a paddy soil of poor P availability. 32P-labeled orthophosphate sorbed to ferrihydrite (80 kg ha-1) was supplied either (1) in polyamide mesh bags (30 μm mesh size) to prevent roots from directly mobilizing Fe-P (Pellets-mesh bag treatment), or (2) in the form of pellets directly to the soil without mesh bags to enable roots’ accessing the Fe-P (Pellets-no-mesh bag treatment). With the application of Fe-P directly to the soil, P was more available resulting in the increases in microbial biomass carbon (MBC) by 18–55% and nitrogen (MBN) by 4–108% in rooted soil as compared to the pellet not available to roots directly. The maximum enzyme activities (Vmax) of phosphomonoesterase and β-glucosidase followed this pattern. During rice root growth, MBC and microbial biomass phosphorus (MBP) in both rooted and bottom bulk soil gradually decreased by 28–56% and 47–49%, respectively. In contrast to our hypothesis, the contribution of Fe-P to MBP strongly decreased from 4.5% to almost zero during 10–33 days after rice transplantation, while Fe-P compensated up to 16% of the plant P uptake 33 days after rice transplantation, thus outcompeting microorganisms.

How to cite: Wang, C., Dippold, M., Guggenberger, G., and Dorodnikov, M.: Can ferric iron reduction in paddy soils compensate phosphorus limitation of rice plants and microorganisms?, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7241, https://doi.org/10.5194/egusphere-egu22-7241, 2022.

EGU22-7526 | Presentations | SSS4.8

Decomposition of a bio-based plastic in soil: CO 2 source partitioning approach 

Vusal Guliyev, Benjawan Tanunchai, Maria Udovenko, Bruno Glaser, Witoon Purahong, and Evgenia Blagodatskaya

Expanding the use of environmentally friendly materials to protect the environment is one of the key factors in maintaining a sustainable ecological balance. Polybutylene succinate (PBS) and polybutylene succinate-co-adipate (PBSA) are considered the most promising biobased and biodegradable plastics for the future with a high number of applications. We used stable isotope techniques to partition plastic- and soil-originated C in the CO2 released in the course of PBSA plastic decomposition in the soil as dependent on nitrogen availability. Our 90 days laboratory experiment was conducted using a Haplic Chernozem soil from the conventional farming plot of the Global Change Experimental Facility (GCEF), Bad Lauchstädt, Central Germany. The experiment was designed as 4 treatments: two controls (non-amended soil and soil amended with (NH4)2SO4) and two plastic amendments (with (PSN) and without (PS) N). Nitrogen facilitated plastic decomposition by 6 weeks, increased the amount of decomposed plastic by 10% and reduced the priming effect by 26% during the experiment.

How to cite: Guliyev, V., Tanunchai, B., Udovenko, M., Glaser, B., Purahong, W., and Blagodatskaya, E.: Decomposition of a bio-based plastic in soil: CO 2 source partitioning approach, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7526, https://doi.org/10.5194/egusphere-egu22-7526, 2022.

EGU22-9125 | Presentations | SSS4.8

Mapping the organic N distribution in the rhizosphere of maize 

guoting shen, Sajedeh Khosrozadeh, Negar Ghaderi, Andrey Guber, and Evgenia Blagodatskaya

The combination of two non-destructive 2D imaging methods: amino-mapping and zymography have been developed and applied to monitor organic nitrogen allocation in the rhizosphere of Zea mays L.  under contrasting nutrient treatments. Amino-mapping was based on the fluorescent reaction of o-phthaldialdehyde and β-mercaptoethanol enabling to estimate the content of labile organic N, playing an important role in soil nitrogen cycling. Amino-mapping was coupled with leucine-aminopeptidase zymography to quantify the amino-N release in the rhizosphere of maize grown under climate chamber conditions for 3 weeks. The combination of the two approaches enabled visualization of organic N hotspots either distinctly separated or overlapped with the hotspots of enzymatic activity. This work was conducted within the framework of the priority program 2089 “Rhizosphere spatiotemporal organization – a key to rhizosphere functions”, funded by German Research Foundation (DFG – Project number: 403664478). Seeds of the maize were provided by Caroline Marcon and Frank Hochholdinger (University of Bonn).

How to cite: shen, G., Khosrozadeh, S., Ghaderi, N., Guber, A., and Blagodatskaya, E.: Mapping the organic N distribution in the rhizosphere of maize, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9125, https://doi.org/10.5194/egusphere-egu22-9125, 2022.

EGU22-10091 | Presentations | SSS4.8

The soil structure roots encounter affects root activity and the fate of carbon in the rhizosphere 

Maik Lucas, Andrey Guber, and Alexandra Kravchenko

Carbon inputs into soil take place primarily through rhizodeposition and root decay. Spatial inaccessibility of organic matter to organisms, i.e., physical protection, is a key factor for stabilizing such carbon in soils. Protection is governed by soil structure, i.e., the spatial arrangement of solids and voids, thus, differences in root distribution and in their rhizosphere physical properties influence carbon sequestration. This structure, in turn, is affected by roots, which explore the soil by rearranging existing soil particles and thus may compact the rhizosphere, especially, when the soil does not contain a well connected macropore system.

Here we conducted a split root experiment to determine how plant roots grow into soil depending on the structure they encounter and how this affects the fate and distribution of SOM. Soil cores, with four different structures, either intact or destroyed by sieving, from monoculture switchgrass and prairie systems were incorporated into containers planted with Panicum virgatum L. (Switchgrass) and Rudbeckia hirta L. (Black-eyed Susan), plants with contrasting root characteristics.

The cores were X-ray µCT scanned before and after plant growth, enabling explorations of the feedback interactions between roots and soil structure through analysis of pore size distributions, root distributions, and rhizosphere physical properties. To assess the fate of the plant-derived C, the plants were labelled by 14CO2; and presence of 14C in roots, rhizosphere, and rhizoplanes was examined. The cores were incubated for 30 days and 14CO2 and CO2 respiration was measured. Soil solution from pores of different sizes was collected by centrifugation and analyzed for 14C. This enabled to investigate the fate and distribution of carbon in correlation to the interactions of roots and structure derived from image analysis.

Results suggest root soil contact as a universal driver that stimulates greater allocations of photo assimilated C (14C) to roots and to their immediate surroundings. When roots were growing into the dense soil matrix, greater 14C was detected within the roots, rhizosphere, and rhizoplane. In addition, more 14C was found as DOC. Although most of this carbon was released fast, in total more 14C also remained in the soil after the 30 day incubation. While the majority of roots from Black-Eyed-Susan grow into the dense soil matrix, Switchgrass roots, in contrast, preferentially grew into macropores (especially into switchgrass created biopores). When that happened, roots and rhizosphere had low quantities of freshly assimilated C (i.e., 14C), yet, surprisingly more 14C was found at greater distances from the roots in microsamples, which may be linked to mycorrhizae.

The study is founded in part by the NSF DEB Program (Award # 1904267) and by the Great Lakes Bioenergy Research Center (Award # DE-SC0018409).

How to cite: Lucas, M., Guber, A., and Kravchenko, A.: The soil structure roots encounter affects root activity and the fate of carbon in the rhizosphere, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10091, https://doi.org/10.5194/egusphere-egu22-10091, 2022.

EGU22-12193 | Presentations | SSS4.8

Tight coupling between photosynthesis and soil carbon turnover indicative of rhizosphere priming in the field 

Chris McCloskey, Guy Kirk, Wilfred Otten, and Eric Paterson

While rhizosphere priming effects are well-documented under laboratory and controlled-environment conditions, their significance in undisturbed systems under field conditions is less clear. This is in part because it is impracticable to measure rates of rhizodeposition in the field with high resolution over a substantial period. We propose that photosynthesis, closely linked to rhizodeposition, can be used as a proxy for plant root activity.

We have used a field system containing 24 0.8-m diameter, 1-m deep lysimeters holding naturally-structured soil monoliths from two contrasting C3 soils sown with a C4 grass (Bouteloua dactyloides) to measure carbon (C) fluxes at a high temporal resolution, exploiting isotopic differences to allow partitioning of plant and soil fluxes. These fluxes are coupled to high-resolution measurements of soil temperature and moisture, alongside atmospheric temperature and solar radiation. This system has allowed measurement of both ecosystem resolution and net ecosystem exchange, and the partitioning of respiration between plant and soil sources using stable isotope methods. Using this system we have generated a dataset of measured and modelled respiration and photosynthesis fluxes over two years.

Our dataset has revealed clear seasonal and diurnal patterns in plant and soil fluxes. We have assessed the relationship between diurnal patterns in soil respiration and potential drivers, and examined whether model estimates of soil respiration are improved by the inclusion of photosynthesis as an explanatory variable alongside soil moisture and temperature. We found a significant positive relationship between photosynthesis and soil respiration, and inclusion of photosynthesis improves models of soil respiration. This is best explained by rhizosphere priming enhancing soil C turnover.

How to cite: McCloskey, C., Kirk, G., Otten, W., and Paterson, E.: Tight coupling between photosynthesis and soil carbon turnover indicative of rhizosphere priming in the field, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12193, https://doi.org/10.5194/egusphere-egu22-12193, 2022.

EGU22-12700 | Presentations | SSS4.8

Reuse of wasted bread, bioprocessed and not, as soil amendment 

Claudio Cacace, Carlo Giuseppe Rizzello, Michela Verni, Gennaro Brunetti, Francesco De Mastro, Andreina Traversa, and Claudio Cocozza

In an era characterized by land degradation, climate change, and a growing population, ensuring high-yield productions with limited resources is of utmost importance. In this context, the use of novel soil amendments and the exploitation of plant growth-promoting microorganism’s potential are considered promising tools for developing a more sustainable primary production. In fact, several soil properties are positively influenced after the addition of organic amendments, as the organic matter content that represents a limiting factor for the growth and production of crops in the Mediterranean basin. In this regard, bread and bakery products represent up to 20% of the total daily food waste produced, and only a little quantity is reused, mainly to feed livestock. In this study, a bioprocessed wasted bread, obtained by an enzymatic treatment coupled with fermentation using a selected lactic acid bacterium, together with unprocessed wasted bread were used as amendments in a pot trial, with and without plants. An integrated analytical plan aimed at assessing i) the modification of the physicochemical properties of a typical Mediterranean alkaline agricultural soil, and ii) the plant growth-promoting effect on escarole (Cichorium endivia var. Cuartana), used as indicator crop, was carried out. Compared to the unamended soils, the use of biomasses raised the soil organic carbon content (up to 37%) and total nitrogen content (up to 40%). Moreover, the lower pH and the higher organic acid content, especially in bioprocessed wasted bread, determined a major availability of micronutrients in amended soils. In contrast, the availability of P was reduced by the treatments. The escaroles from pots amended with raw and bioprocessed bread had a number of leaves 1.7- and 1.4-fold higher than plants cultivated on unamended pots, respectively. In addition, the yield of escarole resulted 1.95 and 1.70 times higher in the amended pots with raw and bioprocessed bread, respectively, than control soils. Therefore, no apparent phytotoxicity has been observed, confirming the possible re-utilization of such residual biomasses as agriculture amendments. Finally, since lactic acid bacteria cause an acidification of biomasses, the latter are suitable for the application as alkaline soil amendment through beneficial effects on the bioavailability of several nutrients.

How to cite: Cacace, C., Rizzello, C. G., Verni, M., Brunetti, G., De Mastro, F., Traversa, A., and Cocozza, C.: Reuse of wasted bread, bioprocessed and not, as soil amendment, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12700, https://doi.org/10.5194/egusphere-egu22-12700, 2022.

SSS5 – Soil Chemistry and Organic Matter Dynamics

EGU22-1681 | Presentations | SSS5.2

Cultivation of fiber hemp using solid and liquid residues from municipal composting in a closed system 

Magdalena Sut-Lohmann, Agne Matvejeva, Nils Dietrich, Martina Heinrich, and Thomas Raab

Progressing degradation of agricultural soil demands a change to more sustainable cropping systems accounting for crops that can sustain the soil health. Hemp is known for the improvement of soil physical, chemical and biological properties. The objective of the research is to analyze the hemp plant capability to grow under nutrient poor soil conditions and dense canopy and to assess hemp’s ability to uptake plant nutrients applied with/by soil amendments produced from biowaste. Additionally, the research aims to analyze how the hemp nutrition affects its morphogenesis, thus the fiber content.

In the greenhouse set up, Cannabis Sativa L. was grown in sandy substrate, with limited water supply that corresponded to the common drought periods in Brandenburg (Germany) and with addition of soil amendments in form of pellets from organic waste (OW) digestives. The treatments included: 5 control pots, 10 pots with pellets (19 kg soil / 230 g pellets according to the allowed application of 13 t/ha) and 10 pots with 19 kg soil / 3 kg pellets. When needed, a universal liquid fertilizer was applied which contained water soluble minerals like N, P2O5 and K2O. After 92 days, the plants were harvested, dried and weighted. The root structure was examined visually. The stems were decorticated using BMS-FLAKSY® (Rossmanith GmbH) to analyze the fiber content. The Elementar vario MAX cube analyzer device was used to analyse C and N contents.

The results showed that hemp could still flourish in water and nutrient limited environment. A deeper and denser rooting was observed in the treatments with pellets. It was observed that fine roots were encircled and attached to the pellets to access the nutrients stored there. The highest C:N ratio in soil and in leaves was found in treatments that contained the most pellets. The option to apply pellets produced from OW in larger quantities instead of a fertilizer application had a striking effect on hemp growth and biomass accumulation hence, increased dry matter amount and fiber yield.

How to cite: Sut-Lohmann, M., Matvejeva, A., Dietrich, N., Heinrich, M., and Raab, T.: Cultivation of fiber hemp using solid and liquid residues from municipal composting in a closed system, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1681, https://doi.org/10.5194/egusphere-egu22-1681, 2022.

EGU22-2845 | Presentations | SSS5.2

The effect of nutrient management on organic matter in subsoils of temperate and tropical agroecosystems 

Claude Müller, Johan Six, Martin Hartmann, and Marijn Van de Broek

One of the aims of sustainable soil management in agriculture is to preserve soil organic matter (SOM) because it relates to important ecosystem services such as carbon storage and soil fertility. Soil organic carbon (SOC) storage can contribute to climate regulation, while soil fertility is essential to provide food to a steadily growing population. Most studies focus on the topsoil (i.e., 0 to 30 cm depth). Nevertheless, studying only the topsoil SOC is not sufficient to estimate the effect of management practices on the organic carbon (OC) storage capacity of soils. Indeed, an important quantity of OC is present in the subsoil.

In this project, soil samples were collected in two long-term agricultural field experiments in temperate (Switzerland) and tropical (Kenya) climates. The Kenyan trial (the SOM trial) was established in 2002 and maize has been cultivated in monoculture in every growing season (two per year). The different treatments include the application of organic residues with different carbon to nitrogen ratios, and manure, with and without mineral nitrogen. Samples have been collected down to 70 cm depth in increments of 5 cm. The Swiss trial (the DOK trial) was established in 1978. Different crops (wheat, potato, soy, grass, and maize) are grown in rotation. The treatments include different fertilizer and crop protection regimes representing conventional and organic agricultural practices. Samples have been collected down to 90 cm depth in increments of 5 cm.

In the DOK trial, mean SOC concentration decreased from ca. 1.8 % in the 0-5 cm to ca. 0.5 % in the 85-90 cm depth layer. Soils under organic and biodynamic treatments had a higher SOC content over the whole depth profile compared to soils under conventional practices, pointing out the potential effect of these practices to increase SOC stocks over time. In the SOM trial, the mean SOC concentration decreased from ca. 2.2 % in the 0-5 cm to ca. 1.2 % in the 65-70 cm depth layer. Organic inputs had a positive effect on the SOC content over the whole depth profile, while the addition of mineral N without organic input had a negative effect. As the information on the effect of nutrient management practices on subsoil SOC content is limited, specifically in the tropics, these data help to improve our knowledge about these effects, while providing guidelines to farmers and farm advisors on how to maximize the SOC content of soils. In addition, these data provide a valuable resource for the formulation and calibration of model simulations of SOC dynamics in agroecosystems.

How to cite: Müller, C., Six, J., Hartmann, M., and Van de Broek, M.: The effect of nutrient management on organic matter in subsoils of temperate and tropical agroecosystems, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2845, https://doi.org/10.5194/egusphere-egu22-2845, 2022.

EGU22-3515 | Presentations | SSS5.2

The role of biosolid derived compost on cation exchange 

Thao Bich Nguyen and Gilboa Arye

In most productive agricultural soils, organic matter (OM) makes up a small percentage (3-6%) but plays a vital role in biogeochemical processes, particularly nutrient availability and soil structure stability as influenced by cation exchange processes. The loss of soil OM is one of the most severe threats to much of the World's arable areas. Thus, OM application (e.g. biosolids, livestock manure, and compost) is widely recommended due to its cost-effectiveness, and high macro- and micro-nutrient contents. In this regard, the intrinsic properties of soil OM in conjunction with cation exchange processes have not been thoroughly addressed. Therefore, it is essential to quantify cation exchange in biosolids and biosolid-amended soils, specifically, the competitive cation exchange process. The main objective of this study was to evaluate cation exchange equilibria on biosolid-derived compost in binary cation solutions. The target cations were NH4+, K+, Na+, Ca2+, and Mg2+, which are relevant to plant nutrient availability and the efficiency of remediation strategies for saline and sodic soils. Here, binary exchange isotherm experiments were conducted in which the biosolid was pre-saturated with Ca2+. The selectivity coefficient was calculated from the measured exchange isotherms. The results showed that the shape of the exchange isotherm curves and the amount of cations exchanged varied in different binary systems. The biosolid characteristics, as well as the preference of particular cations to the biosolid, will be presented and discussed.

Keywords: soil organic matter, biosolid, cation exchange, selectivity coefficient.

How to cite: Nguyen, T. B. and Arye, G.: The role of biosolid derived compost on cation exchange, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3515, https://doi.org/10.5194/egusphere-egu22-3515, 2022.

EGU22-5811 | Presentations | SSS5.2

Agricultural management affects active carbon and nitrogen mineralisation potential in soils 

Heide Spiegel, Sophia Hendricks, Sophie Zechmeister-Boltenstern, Ellen Kandeler, Eugenio Diaz-Pines, Jörg Schnecker, Oliver Alber, Julia Miloczki, and Taru Sandén

Soil organic matter (SOM) is important for soil fertility and climate change mitigation. Agricultural management - including soil amendments - can improve soil fertility and contribute to climate change mitigation by stabilising carbon in soils. This calls for cost-effective parameters to assess  the influence of management practices on SOM. The current study aimed at understanding how sensitive the parameters active/permanganate oxidisable carbon (AC) and nitrogen mineralisation potential (NMP) react to different agricultural management practices compared to total organic carbon (TOC) and total nitrogen (Nt). We aimed to gain a better understanding of SOM processes, mainly regarding depth distribution and seasonality of SOM dynamics using AC and NMP.

Data were obtained in five Austrian long-term field experiments (LTEs) testing four management practices: i) tillage, ii) compost application, iii) crop residue management, and iv) mineral fertilisation.

AC was specifically sensitive in detecting the effect of tillage treatment at different soil depths. NMP differentiated between all different tillage treatments in the top soil layer, it showed the temporal dynamics between the years in the compost LTE, and it was identified as an early detection property in the crop residue LTE. Both AC and NMP detected short-term fluctuations better than TOC and Nt over the course of two years in the crop residue LTE. Thus, we suggest that AC and NMP are two valuable soil biochemical parameters providing more detailed information on C and N dynamics regarding depth distribution and seasonal dynamics and react more sensitively to different agricultural management practices compared to TOC and Nt. They should be integrated in monitoring agricultural LTEs and in field analyses conducted by farmers. However, when evaluating results of long-term carbon storage, their sensitivity towards annual fluctuations should be taken into account.

How to cite: Spiegel, H., Hendricks, S., Zechmeister-Boltenstern, S., Kandeler, E., Diaz-Pines, E., Schnecker, J., Alber, O., Miloczki, J., and Sandén, T.: Agricultural management affects active carbon and nitrogen mineralisation potential in soils, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5811, https://doi.org/10.5194/egusphere-egu22-5811, 2022.

EGU22-6276 | Presentations | SSS5.2

35S-labeled methionine dynamics in a 62-year agricultural post-mining soil chronosequence 

Qiqi Wang, Davey Jones, David Chadwick, Deying Wang, Yi Zhao, Sara Bauke, Albert Tietema, and Roland Bol

Global industrial sulphur (S) dioxide emissions between 1900 to 1980 led to excessive S deposition and associated soil acidification.  However, since introducing effective mitigation strategies, industrial S emissions have been significantly reduced, with concurrent reductions in S deposition. This has resulted in S deficiency in many croplands which now require supplementary S applications via fertilisers. We examined if such past differential atmospheric S inputs (‘legacy’) influence organic (or inorganic) S dynamics in current agricultural soils. We used a 62-year chronosequence of the reclaimed agricultural field after brown-coal mining (Inden, Germany) to sample topsoil (0-30 cm) from seven sites (representing the years 1956, 1971, 1985, 1995, 2005, 2011, and 2018). The dynamics of sulphur transformation were determined by adding 35S labelled methionine (Met) at 6, 24 and 48 h in an incubation experiment. The 35S-Met and 35S-SO4derived from labelled Metwere determined by measuring CaCl2-extractable 35S with or without BaCl2, the difference between the total added 35S-Met and the CaCl2-extractable 35S was recognized as the 35S immobilised in the microbial biomass. Results showed that soil S concentrations declined in a curvilinear pattern over the full chronosequence, from 0.27 (in 1956) to 0.11 g S kg-1 soil (in 2018). In contrast, soil C peaked in 1995 at 16 g C kg-1 soil, with the lowest values in 1956 at 10 g C kg-1 soil. For the site recultivated in 1985, transformation and S dynamics obviously differed from others. Here, compared with other sites, the 35S-SO4(inorganic S) concentrations (as % of the total 35S-Met added) peaked at 12, 29, 38% respectively, and 35S-Met (organic S) was the lowest at 35, 23, and 16%, respectively (at sampling times, 6, 24, and 48 h). The microbial biomass immobilized 53% of 35S-Met added to the soils in less than 6 h, and gradually released it as 35S-SO4 as incubation time increased. We conclude that organic S transformation in the soils was driven by the C rather S content, possible through differences in microbial C biomass, As such the effect of the S legacy in the soils could not be confirmed. 

How to cite: Wang, Q., Jones, D., Chadwick, D., Wang, D., Zhao, Y., Bauke, S., Tietema, A., and Bol, R.: 35S-labeled methionine dynamics in a 62-year agricultural post-mining soil chronosequence, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6276, https://doi.org/10.5194/egusphere-egu22-6276, 2022.

EGU22-6437 | Presentations | SSS5.2

Nitrogen dynamics of two contrasting soils amended with two types of municipal sewage sludge. 

Georgios Giannopoulos, Athanasios Balidakis, Vasileios Tzanakakis, Nikolaos Monokrousos, and Ioannis Ipsilantis

Under the framework of Cyclic Economy and EU Green Deal, sewage sludge represents an ideal soil amendment with a potential to increase soil OM, provide nutrients and reduce chemical fertilization, which otherwise would be disposed in landfills. Nonetheless, its agronomic use comes with an uncertainty of its potential to release ample plant-available N and trace-metals in a wide range of soils.

This study investigated the N dynamics of municipal sewage sludge applied in two contrasting soils; an acidic (pH 5) and an alkaline (pH 8). Stabilized sewage sludge, limed (LM) or air-dried (AD), was applied (2% dw) in soil mesocosms (1500 g) that were incubated for 90 days (25oC; 12% soil moisture). A fertilized treatment (F: 100 mg/Kg NH4NO3), and a non-amended treatment (control) were also included. During the incubation soil NO3-, NH4+, N2O and CO2 were regularly monitored. Anaerobic mineralizable N (AMN) was determined at 15 days. At the end of the incubation, trace-metals, organic C and total Kjeldahl N were determined using standard methods.

The acidic soil receiving LM and AD sewage sludge had 4x and 5x greater (p=0.004) AMN rates than the control. Whereas the alkaline soil receiving air-dried sewage sludge had 2x greater (p=0.01) AMN rates than the control. Soil organic C was on average(±SE) 10.4±0.6 g/Kg and no significant differences were found in the acidic soil. In the alkaline soil, organic C was on average 16.1±0.4 g/Kg, and LM and AD treatments had significantly more org. C than the control (p=0.01). Total N was on average 1.5±0.3 g/Kg and no significant differences were found in both soils. During the incubation, soil NH4+ decreased in LM and AD treatments, and slightly increased in F and C treatments in the acidic soil. Soil NH4+ in the alkaline soil slightly increased for all treatments. A sharp increase in soil NO3- in the acidic soil was observed in all treatments except the control at approx. 60 d. In the alkaline soil, soil NO3- remained at similar levels as initially. It appears that in acidic soils receiving sewage sludge, the relative low soil pH inhibits NH4+ oxidation, whereas in alkaline soils the relative high pH inhibits NO3- reduction. Cumulative CO2 emissions were ~1.3x greater in LM and AD than F and control treatments, and cumulative N2O emissions were ~1.5x greater in AD only than F and control treatments for both soils. Interestingly, N2O emissions for LM were at similar levels to the control treatment for both soils. At the end of the incubation, trace-metal concentration increased in all treatments, yet, it remained below legislative critical levels. The above effects varied slightly between LM and AD sewage sludge, therefore further experimentation is required to understand the effects of sewage sludge type and quality on soil fertility and crop productivity. Our preliminary results show that stabilized sewage sludge has the potential to be a safe soil conditioner and fertilizer under the framework of Cyclic Economy and EU Green Deal.

Funding: The research work was supported in part by the Hellenic Foundation for Research and Innovation

How to cite: Giannopoulos, G., Balidakis, A., Tzanakakis, V., Monokrousos, N., and Ipsilantis, I.: Nitrogen dynamics of two contrasting soils amended with two types of municipal sewage sludge., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6437, https://doi.org/10.5194/egusphere-egu22-6437, 2022.

EGU22-7133 | Presentations | SSS5.2

Storage, pools, and chemical composition of soil organic matter surplus due to tillage intensity drop 

Gergely Jakab, Malihe Masoudi, Balázs Madarász, Tibor Filep, Dóra Zacháry, Máté Karlik, Igor Dekemati, and Zoltán Szalai

Intensive tillage operations, especially moldboard plowing, are widely described as one of the leading causes of soil organic matter (SOM) decrease in cultivated topsoils. Experiments proved that afforestation or even dropped tillage intensity might increase the SOM content of the soil within decades. However, little is known about the forms and sequestration mechanisms of the recently produced organic matter under conservation agriculture practices. Thus, the present study aimed to test the following hypotheses on a Chernozem crop field shifted to conservation tillage: (i) SOM increase appears in the uppermost soil layer without any effect in the subsoil layer; (ii) SOM increase affects each (both labile and stabile) SOM pools of the soil; (iii) the increase modifies the SOM composition of the fractions. The investigations were carried out in a long-term field experiment established in 2002 at Józsefmajor, Hungary. The present study compares the SOM amount and composition of the 0-10 cm and 30-40 cm horizons under plowing, deep cultivation, and no-tillage. Decreasing cultivation intensity resulted in a general soil organic carbon (SOC) concentration increase in both the mineral phase associated OM (stable pool), and the aggregate occluded OM fractions (labile pool). This indicates a relevant saturation deficit in both fractions of the topsoil even though the particulate organic matter fraction did not change. The increase is probably due to the above-ground plant residue input surplus as the SOC content in the 30-40cm layer did not change. The SOM surplus stabilized in the soil did not affect SOM composition differences between depth and fractions resulted in a cultivation-independent chemical SOM composition. The only difference was aromaticity, which showed increasing stratification due to tillage intensity mitigation. These results suggest the highlighted role of dissolved organic matter movement in the profile as the possible driving force of differentiation of aromaticity with depth. The results also underline the role of local circumstances in organic matter composition changes, proving the process's complexity and the difficulties of holistic model construction. The present research was supported by the Hungarian National Research and Innovation Office (NKFIH) K-123953, which is kindly acknowledged.

How to cite: Jakab, G., Masoudi, M., Madarász, B., Filep, T., Zacháry, D., Karlik, M., Dekemati, I., and Szalai, Z.: Storage, pools, and chemical composition of soil organic matter surplus due to tillage intensity drop, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7133, https://doi.org/10.5194/egusphere-egu22-7133, 2022.

EGU22-7385 | Presentations | SSS5.2

Effect of vermicompost and pelleted manure as amendments on chemical and biochemical properties of soil under greenhouse farming 

Giuseppe Paolo Coppola, Giuseppe Di Rauso Simeone, Gennaro D'Ambrosio, Francesco Vairo, Michele Caputo, Carmine Amalfitano, Massimo Zaccardelli, and Maria A. Rao

Soil organic matter (SOM) plays an important role in conservation and restoration of soil fertility, as it is able to ameliorate physical, chemical and biochemical soil properties preventing erosion, increasing porosity, water-holding capacity and cation exchange capacity. Furthermore, SOM can stimulate microbial biomass and as consequence microbial activity and functionality in terms of soil respiration and enzymatic activities. Biogeochemical cycle of nutrients can also take advantages from the microbial activity enhancement with positive effects on N and P uptake and crop yields. The intensive farming systems favour the SOM decomposition and depletion due to the absence of rotations, the preference of milling to ploughing, the mineral fertilization, and the removal of crop residues.

The aim of this research was to assess the effect of vermicompost (VC) as organic soil conditioner compared to pelleted manure (PM) under greenhouse in a conventional farm. Two doses of VC and PM corresponding to 75 and 150 kg N ha-1 year-1 were applied to solarized soil. Solarization was carried out during the hottest summer period and applied to all plots to control weeds, nematodes and soil-borne pathogens. VC is the final product of a vermicomposting process involving synergistic action of earthworms and microbes in the bio-conversion of organic matter into humus-like substances. VC used in this research derived from solid digestate obtained in anaerobic digestion plant using, as carbon source, livestock sewage, olive mill wastewater and whey from dairy industry. Chemical and biochemical properties of soils sampled after 7 and 150 days from organic amendments were investigated to understand the correlation between the use of organic soil conditioners and organic C stock, nutrient availability, microbial biomass, enzymatic activity, and crop yields and quality.

In the first sampling PM increased significantly the soil electrical conductivity compared to VC amendments. In addition, PM, in particular the greater dose, enhanced better than VC soil respiration, microbial biomass and overall enzymatic activities because PM is richer in labile carbon source than VC. In contrast, VC was able to improve the activity of acid phosphatase and urease by increasing the applied dose thus making free phosphate and ammonium from organic matter.

This study is part of the project "Sustainable management of soil fertility in the Sele Plain to produce ready-to-eat food as cover crops through organic amendment deriving from local livestock sector" funded by PSR Campania 2014/2020.

How to cite: Coppola, G. P., Di Rauso Simeone, G., D'Ambrosio, G., Vairo, F., Caputo, M., Amalfitano, C., Zaccardelli, M., and Rao, M. A.: Effect of vermicompost and pelleted manure as amendments on chemical and biochemical properties of soil under greenhouse farming, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7385, https://doi.org/10.5194/egusphere-egu22-7385, 2022.

EGU22-8063 | Presentations | SSS5.2

How treated wastewater used for irrigation, and sewage sludge used as soil amendment affect CO2 emission from soils 

Antonín Nikodem, Miroslav Fér, Radka Kodešová, and Aleš Klement

Sewage sludge from wastewater treatment plants or farm biosolids can be used as a source of organic matter to improve soil quality. Treated wastewater is due to a water scarcity also used for irrigation. These sources contain a large amount of nutrients, which can enhance conditions for plants’ growth, but also can increase a CO2 emission from soils. Despite that these soil amendments can have a significant impact on the CO2 emission from soils, their actual effect on measured values has not been fully revealed. Therefore, the goal of this study was to evaluate the effect of products from the municipal wastewater treatment plant on the CO2 efflux from soils.  Experiment was carried out directly in the wastewater treatment plant, where nine raised beds were installed, which contained soils taken from topsoil of two soil types Arenosol (two beds) and Cambisol (seven beds). Either maize or a mixture of different vegetables (lettuce, carrot and onion) was grown in these beds. Of the seven beds with the Cambisol, one of the beds containing either maize or vegetables was irrigated with tap water and other pair of beds (maize or vegetables) was irrigated with treated wastewater (i.e., WWTP effluent). In another pair of beds (maize or vegetables), composted sludge from WWTP Three beds containing both types of biosolids were irrigated with tap water. Only vegetables were grown in the beds with the Arenosol, which were irrigated with either tap water or treated wastewater. Climatic data, irrigation doses, drainage water volumes, soil water contents and plant growth were monitored during the experiment. The soil CO2 efflux was measured in a steel collar (diameter of 11 cm and height of 7.5 cm), which was placed into the surface of each bed one hour prior to the measurement. The net CO2 efflux (NCER) and the net H2O efflux were measured using the LCi-SD portable photosynthesis system with a Soil Respiration Chamber. While stabilized and composted sewage sludge considerably increased the CO2 emission, the effect of treated wastewater or plant was not confirmed.

 

Acknowledgement: Study was supported by the Ministry of Agriculture of the Czech Republic, project "The fate of selected micropollutants, which occur in treated water and sludge from wastewater treatment plants, in soil" (No. QK21020080) and partly also by the European Structural and Investment Funds, projects NutRisk (No. CZ.02.1.01/0.0/0.0/16_019/0000845). 

How to cite: Nikodem, A., Fér, M., Kodešová, R., and Klement, A.: How treated wastewater used for irrigation, and sewage sludge used as soil amendment affect CO2 emission from soils, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8063, https://doi.org/10.5194/egusphere-egu22-8063, 2022.

EGU22-9424 | Presentations | SSS5.2

ISFERALDA project: Using organic amendments based on date palm residues to enhance soil fertility in oases agroecosystems 

Xavier Morvan, Belkacem Boumaraf, Victor Kavvadias, Mohamed Moussa, Hafouda Lamine, Mahtali Sbih, Fouad Bendjeddou, Abdennacer Zaakir, Maxime Gommeaux, Nissaf Karbout, Ines Rahma Zoghlami, Elie Le Guyader, Vincent Miconnet, Kamel Guimeur, Aissa Tirichine, Abid Adelfettah, and Beatrice Marin and the ISFERALDA project teams

The dryland soils of North African region are usually poor in organic matter, which is the cause of low soil fertility. Oases are the main driver of arid areas economy in this region. In oases, date palm is the main source of income for farmers. Oases also represent shelter for local population and even, in some cases, tourism. The harsh environment in the desert regions of North Africa makes these regions vulnerable to many environmental threats.

Only a minor part of date palm cultivation by-products are recovered, including for example palm branches used for fixing sand dunes, as fences in oases or for shade. Their valorization as bioresources, with a potential effect on soil fertility (and thus on oases ecosystem productivity), has received little attention to date. Based on the few available results for the maintaining of land productivity and sustainability of the oasis system, the ISFERALDA project aims to increase resilience to climate change of agroecosystem while ensuring comparable or higher incomes to local farmers in semi-arid and arid areas.

The project aims at developing the use of organic amendments based on local agriculture wastes, and more specifically the date palm residues, as a key tool in land restoration. Based on traditional production (composting, pyrolysis), the project will focus on refining processes and improving products’ quality and adequacy with plant needs and substrate properties.

Innovative farming systems will be developed and contribute sustainable management of date production, generating income and creating employment as well as improving environmental parameters.

The influence of different kinds of organic amendments on environment, yield, and socio-economic development will be assessed. ISFERALDA will therefore design a new strategy to support agricultural practices within a framework acceptable to local actors and in line with the objectives of circular economy of local resources and sustainable development.

The innovation potential of the project is based on a multidisciplinary and highly integrated approach.

In this project, a socio-economic analysis, based on surveys and on the cost/benefit analyses, will familiarize the farmers with the economic interest of the production and use of the proposed organic treatments. Furthermore, an assessment of the benefits for soil quality and fertility (physical, chemical and biological properties) will be conducted.

The proposed research activities include:

  • Detailed description of the characteristics of each amendment studied, refinement of traditional processes,
  • laboratory experiments to fully describe the properties of the different treatments and to explain the evolution of the physical, chemical and microbiological properties of the soils,
  • field experiments, in five different representative sites of arid and semi-arid zones in Algeria and Tunisia. 

The contacts with other stakeholders and particularly the farmers will promote, on one hand, the acceptance of these practices if they are deemed beneficial from an economic and agronomic point of view. On the other hand, it will also disseminate this new knowledge to the agricultural main actors and will upscale the results from case studies to regional and national scale across the Mediterranean Basin.

How to cite: Morvan, X., Boumaraf, B., Kavvadias, V., Moussa, M., Lamine, H., Sbih, M., Bendjeddou, F., Zaakir, A., Gommeaux, M., Karbout, N., Zoghlami, I. R., Le Guyader, E., Miconnet, V., Guimeur, K., Tirichine, A., Adelfettah, A., and Marin, B. and the ISFERALDA project teams: ISFERALDA project: Using organic amendments based on date palm residues to enhance soil fertility in oases agroecosystems, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9424, https://doi.org/10.5194/egusphere-egu22-9424, 2022.

EGU22-9528 | Presentations | SSS5.2

Influence of different land uses on soils organic matter composition from North Eastern part of Romania based on DRIFT spectra 

Elena Diana Bobric, Nicoleta Melniciuc Puica, and Iuliana Gabriela Breabăn

This study addresses a topical issue, which is a particularly important indicator in assessing the evolutionary trends of the global climate system, namely the storage of carbon in the soil in the form of organic matter. The aim of the research is to estimate and characterize the organic matter from soils with different types of uses and depths located in the North-East Region of Romania, which occupies an area of 36,850 km², characterized by a special natural complexity that has undergone recent structural changes. Soil samples from organic and mineral horizons located at different depths were analyzed. The influence of different land use on the content and chemical composition of organic matter in soils in a topsoil located on the North South was analyzed. The analysis includes a number of 200 soil samples collected from seven different sites (Humor, Pipirig, Vanatori, Tg Neamt, Timisesti, Raducaneni and Munteni) including forest, pastures, arable land, orchards, whether or not subject to specific traditional amendments. Quantitative determination was performed by dry combustion using the combination of equipment: Analytik Jena multi N / C 2100 analyzer and HT 1300 solids module, while for the chemical composition of organic matter the Fourier transform infrared spectroscopy is used (Vertex 70 Bruker), using DRIFT as a sample preparation technique. The amount and chemical composition of organic matter, as well as the location and properties of the soil, have had a strong influence on DRIFT spectra, which are sensitive to the degree of decomposition of organic matter. Differences in absorbance intensity for several spectral bands indicated a higher abundance of recent residues, phenolic-OH, aliphatic and carbohydrate compounds in soils under agricultural use compared to the dominant presence of amide and aromatic groups, carboxylic acids and their salts, C = C bonds in forest soils occupied by deciduous, mixed or coniferous vegetation. Drift spectra have been associated with a number of physicochemical attributes of the soil, such as land cover type, parent material, depth and bulk density, pH, texture, etc. The main conclusion from the regional study indicates that the information recorded in the DRIFT spectra of soils combines the amount and chemical composition of soil organic matter with soil properties highlighting the potential use of this information to assess the state of organic matter degradation stored in the soils of the North East region of Romania.

Keywords: soil organic matter, FTIR, functional groups, Romania, soil composition

"This work was supported by a grant of the "Alexandru Ioan Cuza" University of Iasi, within the Research Grants program, Grant UAIC, code GI-UAIC-2021-12".

How to cite: Bobric, E. D., Melniciuc Puica, N., and Breabăn, I. G.: Influence of different land uses on soils organic matter composition from North Eastern part of Romania based on DRIFT spectra, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9528, https://doi.org/10.5194/egusphere-egu22-9528, 2022.

EGU22-12866 | Presentations | SSS5.2

CO2 evolution after straw incorporation in soil supplemented with nutrients based on C:N:P:S stoichiometry 

Nazish Amin, Sharan Panthi, and Sharon Mary O'Rourke

Evidence exists for a constant C, N, P, and S content in stabilized organic carbon in soils globally. This indicates that fresh-C inputs to soil with insufficient nutrients can limit the size of the soil C pool. This study conducted an experiment to test C:N:P:S stoichiometry as a mechanism to increase the rate of organic matter (OM) mineralization following straw incorporation in soil. The objectives were to (i) determine whether straw incorporated in soil with supplementary nutrients to balance the C:N:P:S stoichiometric input would increase the rate of OM mineralization and (ii) assess the rate of OM mineralization from straw with stoichiometric nutrient input that was either N, P or S limited. Straw was incorporated in soil at a rate of 8 t ha-1with or without supplementary nutrients to convert a target 30% fresh C-input to SOC. Five soils with increasing silt and clay content were included in the study and incubated in an environmentally controlled chamber for 16 weeks. CO2 was collected at one or more weekly intervals in a 1N sodium hydroxide (NaOH) trap, precipitated by BaCl2, and titrated with HCl to determine the CO2-C evolved. A repeated measure multivariate ANOVA is being used to determine if there were differences in CO2-C between nutrient treatments or nutrient treatments over time. Decomposition of straw was completed in 12 weeks. In three out of five soils the total CO2-C production for a straw with stoichiometrically balanced nutrients was significantly greater (P < 0.01) than the straw with no nutrient addition. In the soils that demonstrated a greater rate of OM mineralization with nutrient supplementation, the N, P, and S limited treatments all produced less CO2-C. Interestingly, all five soils collected for this study had a high P fertility status, yet lower CO2-C was produced in the P-limiting treatment indicating that the soil P was not immediately available during straw decomposition. In conclusion, higher rates of OM mineralization were achieved when C-input was stoichiometrically balanced. Nutrient inputs of N, P and S could maximize the soil C sequestration potential.

How to cite: Amin, N., Panthi, S., and O'Rourke, S. M.: CO2 evolution after straw incorporation in soil supplemented with nutrients based on C:N:P:S stoichiometry, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12866, https://doi.org/10.5194/egusphere-egu22-12866, 2022.

EGU22-13081 | Presentations | SSS5.2

The potential for enhancing soil carbon levels through the use of organic soil amendments in Queensland, Australia 

Johannes Biala, Kevin Wilkinson, Beverley Henry, Shweta Singh, Joshua Bennett-Jones, and Daniele De Rosa

Application of organic soil amendments such as manure or compost is commonly listed amongst strategies with potential to sequester carbon in agricultural soils, and Australian farmers are able to earn carbon credits for increasing soil organic carbon (SOC) stocks through the use of organic amendments under the Government’s Emission Reduction Fund. Despite their assumed contribution to enhancing SOC levels and inclusion into climate change mitigation strategies, there has been little qualitative or quantitative assessment of the effects of organic amendments on SOC stocks and dynamics. We evaluated this potential for Queensland (Australia) by collating and analysing information on organic amendments and by modelling soil organic carbon sequestration with the FullCAM model in three different cropping locations. An estimated 2.7 million tonnes dry matter (dm) of organic amendments, containing up to one million tonne (dm) of organic carbon was likely land applied in Queensland in 2015/16. Simulations predicted that, in favourable locations, high annual applications of raw manure and compost (10 t and 15 t ha-1 yr-1 fresh matter, respectively) could result in annual soil organic carbon increases of 0.9% and 0.55%, respectively, averaged over 20 years of continuous sorghum cropping. In less favourable conditions and with less frequent or lower applications, carbon stocks may continue to decline but more slowly than without organic amendments. The paucity of key data for more accurate assessments of carbon sequestration potentials led us to identify research priorities that support development of frameworks for use of organic amendments in agricultural soils for climate, food security and waste management benefits.

How to cite: Biala, J., Wilkinson, K., Henry, B., Singh, S., Bennett-Jones, J., and De Rosa, D.: The potential for enhancing soil carbon levels through the use of organic soil amendments in Queensland, Australia, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13081, https://doi.org/10.5194/egusphere-egu22-13081, 2022.

Climate change mitigation strategies require long time removal and storage of carbon; thus, enhancing soil carbon stock is an appealing way to increase carbon sink potential and control emissions owing to associated ecosystem benefits. Understanding soil organic carbon (SOC) stock in the semiarid landscape is vital for natural based climate solutions and mechanisms. The carbon stock in soil represents 25% of the potential of natural climate solutions and wetlands have around 72% mitigation potential for soil carbon. Wetlands have a very complex natural system and provide a potential sink of atmospheric carbon. Particularly the role of wetlands in arid and semiarid lands has become vital as they not only provide a water source and livelihood options to the local community but also play an important role in maintaining ecosystem services. However, only limited studies have been conducted to assess the roles and potentials of wetlands in carbon sequestration in a semiarid region. The geospatial technologies provide a cost-effective and more accurate estimation of SOC stock in these ecosystems. The SOC distribution in wetland ecosystems and their carbon sequestration potential studies are crucial to understanding the global carbon budget. The present study area Keoladeo National Park is an ecologically important forested wetland situated in semiarid India with a heterogeneous landscape. Current research work illustrated a hybrid interpolation method for estimating the distribution of soil carbon in different vegetation type/land cover (VT/LC) using point survey data (prepared after laboratory test) with remote sensing. The map prepared has given satisfactory results with more than 80 present accuracy. SOC distribution data were collected from 130 plots from both the surface (0-15 cm) and subsurface soil (15-30 cm) covering all the 15 VT/LC classes. SOC was found to be significantly related to VT/LC type and water availability. The spatial distribution of SOC shows a wide range with an average value of around 1.5%; the seasonal distribution shows an increased amount of carbon in pre monsoon season and a high amount of carbon in the surface soil. The concentration of SOC (around 2.5%) has been observed to be more in wetland and grassland soils in both the seasons that cover about 13% and 27% area of the park, respectively. SOC stock management in this region is vital in observing the local community needs, which is mainly dependent on the park for livestock food. Further geospatial analysis of soil carbon stock potential will add value to the study. Synergising climate change mitigation strategies and community requirements are needed to enhance vulnerable communities' benefits. 

Keywords: Soil carbon, semiarid region, remote sensing, climate change mitigation.

How to cite: Deval, K. and Joshi, P. K.: Distribution of soil carbon stock in a forested wetland in the semiarid region of India: implications for climate change mitigation, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-527, https://doi.org/10.5194/egusphere-egu22-527, 2022.

EGU22-1196 | Presentations | SSS5.3

Evidence that a northward range shift of sugar maple (Acer saccharum Marsh.) causes a net release of CO2 from soil 

Gabriel Boilard, Robert Bradley, and Daniel Houle

Climate change is expected to shift the home range of sugar maple (Acer saccharum Marsh.) northward, thereby encroaching onto the southern range of present-day balsam fir (Abies balsamea (L.) Mill.) forests. Such a shift from coniferous to deciduous forest stands will affect several edaphic properties and potentially modify soil organic carbon (SOC) storage and stability. For example, the more labile deciduous litter should decompose faster than coniferous litter, potentially resulting in lower SOC storage in forest floors. On the other hand, labile deciduous litter may result in a greater microbial turnover of SOC, leading to more stable SOC in mineral-associated organic matter (C-MAOM) in the subsoil. To test these hypotheses, we surveyed 30 mature forest stands in three regions along the sugar maple–balsam fir ecotone in southern Quebec, Canada. We dug three soil pits in each stand and measured SOC stocks in the organic forest floor as well as across five depth increments (0-5, 5-10, 10-20, 20-30 and 30-40 cm) in the mineral soil. We incubated mineral soil samples from each depth for 51 weeks and monitored CO2 emissions rates, from which we quantified the bioreactive SOC pool. We derived two indices of microbial turnover of SOC at different soil depths based on δ13C signatures. Finally, we used a wet sieving procedure to assess the proportion of C-MAOM at each soil depth. Results revealed that SOC stocks were 27% greater in balsam fir than in sugar maple forests. Most of this difference was attributable to the thicker forest floors under balsam fir, in accordance with slower litter decomposition rates. CO2 emission rates in the first 10 weeks of incubation were higher in soil samples collected under sugar maple; thereafter, CO2 emission rates were higher in soil samples collected under balsam fir.  As a result, the bioreactive SOC pool over the course of 51 weeks did not differ significantly between stand types. We found significant region × stand type interactions on both indices of microbial turnover as well as on the proportion of C-MAOM in the mineral soil. More specifically, only in one region was microbial turnover higher under sugar maple than under balsam fir. Likewise, the effect of stand type on the proportion of C-MAOM was significant in only one region, and this effect was contrary to expectations (i.e. balsam fir > sugar maple). We ascribe this unexpected result to the presence of earthworms, which we only found in sugar maple stands in this region. Although we did not find generalizable effects of stand type on SOC turnover and stability, we did find significant generalizable patterns of decreasing SOC bioreactivity, increasing microbial turnover and increasing C-MAOM with increasing soil depth. Taken collectively, our results suggest that a northward shift of sugar maple will cause a net release of CO2 to the atmosphere and potentially create a positive feedback on global warming.

How to cite: Boilard, G., Bradley, R., and Houle, D.: Evidence that a northward range shift of sugar maple (Acer saccharum Marsh.) causes a net release of CO2 from soil, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1196, https://doi.org/10.5194/egusphere-egu22-1196, 2022.

Effects of the construction of the lower Yarlung Tsangpo River tunnel project on the stability of organic carbon in forest soils

Abstract: Tunnels are widely used in road construction in areas such as the highlands and mountains, however, their effect on soil organic carbon stability has been less studied. Soil organic carbon stability is a sensitive index to evaluate the response of soil ecosystem to environmental changes. In order to detect the soil organic carbon (SOC) the anti-interference ability of the engineering construction of the tunnel, the stability of soil organic carbon was analyzed by using labile soil organic carbon(LOC), soil aggregates and enzyme activities. Based on the construction of the lower Yarlung Tsangpo River tunnel, fixed monitoring plots were set up in the Engineering disturbance areas (ED) and undisturbed areas (CK) as a control to investigate the influence of tunnel construction on SOC stability . Results showed that the SOC and LOC in the ED were 291.40 mg/kg and 110.28 mg/kg, respectively, which were slightly higher than those in the CK area 255.31 mg/kg and 91.19 mg/kg, but the difference was not significant (p=0.6). The proportion of >0.25 mm aggregates in all soil fractions was more than 80%. With the decrease of aggregate size, the content of organic carbon in aggregate showed a decreasing trend, but there was no significant difference between ED and CK areas. This study showed that tunnel construction has no significant effect on soil organic carbon stability, which may be associated to the abundant precipitation in the study area. Because vegetation mainly absorbed soil water in top layer and the input and output of soil organic matter were not affected. The results of the study provide a reference basis for the evaluation of the impact of tunnel construction on the environment and for the management of the forest ecosystem in the lower Yarlung Tsangpo River.

Keywords: Tunneling; Forest soils; Organic carbon stability; labile organic carbon; Soil enzyme; soil aggregates

How to cite: Zhao, R. and Tang, X.: Effects of the construction of the lower Yarlung Tsangpo River tunnel project on the stability of organic carbon in forest soils, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1615, https://doi.org/10.5194/egusphere-egu22-1615, 2022.

Soil organic carbon (SOC) saturation is generally defined as soil’s unique limit to stabilize C, which is dependent on soil physio-chemical characteristics. It is claimed that if once the mineral fraction is saturated, no additional carbon input leads to mineral-associated organic carbon (MAOC) accrual. However, the capacity of a specific soil to store MAOC may depend on many factors, and experimental evidence of actual saturation is scarce. Earlier defined saturation points appear to be statistically biased since especially agricultural soils with high SOC contents are rare so that the strong linear relationship between MAOC and total SOC becomes less clear at higher SOC contents.

To assess, whether the amount of MAOC saturates at a certain point, we used the opportunity of a comprehensive soil archive. From a total of 3104 topsoil samples collected during the German Agricultural Soil Inventory, we took a systematic random sample (n=190) with a wide range in SOC (0.54 - 11.7 %) and clay content (3-77%). We thereby ensured, that an equal number of samples were selected in each SOC content class, which were defined in steps of 1% SOC to ensure an unbiased evaluation of a potential saturation point.  Those soils are being fractionated into Particulate Organic Carbon (POC) and MAOC. Firstly, soils are subjected to ultrasonic dispersion followed by particle size separation via wet sieving (50 µm). SOC and total nitrogen will be determined in each sample. The first results of this study will be presented, which will shed more light on an important aspect of SOC dynamics.

How to cite: Neha, N. and Poeplau, C.: Fractionating German agricultural soils to assess if the mineral associated carbon fraction saturates, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2775, https://doi.org/10.5194/egusphere-egu22-2775, 2022.

EGU22-2916 | Presentations | SSS5.3

Thermogravimetric-calorimetric characterisation of organic matter in oxide-rich tropical soils 

Laura Schnee, Stephan Kaufhold, Albert Ngakou, and Juliane Filser

Tropical soils are increasingly subjected to both site conversion and intensification of agricultural practices, leading to cultivation-induced losses of soil organic matter (SOM) and associated nutrients. Hence, robust techniques for the qualitative characterisation of SOM in heavily weathered tropical soils are required. While thermogravimetric methods are widely used for the characterisation of temperate soils, thermal degradation features of pedogenic oxides typical for many tropical soils can confound the analyses, particularly in thermolabile SOM fractions. We used thermogravimetry coupled to differential scanning calorimetry and mass spectrometry (DSC-TGA-MS) to discern mineral and organic thermal degradation patterns in a kaolinitic soil from Cameroon receiving different mineral and organic amendments. We quantified endothermic mineral degradation features overlapping with OM combustion and thus corrected the exothermic OM degradation signal for pedogenic oxide dehydroxylation. The addition of thermostable biochar interfered with the identification and quantification of clay mineral dehydroxylation features. Between three and four thermal OM fractions of different energy density were identified, among which a distinct cellulosic fraction marked the continuous C4 vegetation on the site. The addition of compost led to a reduction of the thermolabile fraction, while the absence of organic input resulted in a reduction of the thermostable fraction. We conclude (I) that the addition of nutrient-rich fresh OM (compost) may lead to faster OM turnover as indicated by a reduction of the thermolabile OM fraction, and (II) while DSC-TGA-MS is generally suitable for OM characterisation in tropical soils, the presence of pyrogenic C represents a challenge if clay dehydroxylation is to be determined simultaneously.

How to cite: Schnee, L., Kaufhold, S., Ngakou, A., and Filser, J.: Thermogravimetric-calorimetric characterisation of organic matter in oxide-rich tropical soils, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2916, https://doi.org/10.5194/egusphere-egu22-2916, 2022.

EGU22-3027 | Presentations | SSS5.3

Soil organic carbon sequestration and dynamics along a chronosequence on fluvial terraces 

Giorgio Galluzzi, César Plaza, Simone Priori, Beatrice Giannetta, and Claudio Zaccone

The aim of this work is to investigate the mechanisms of soil organic carbon (SOC) sequestration as a function of time and depth. A chronosequence, consisting of two orders (T2 and T1) of the Adige river terraces (Veneto region, North of Italy) and 3 sites (Q2, Q3, and Q4), has been investigated. The highest and oldest terrace (T1) is located in Montalto di Gaium, 125 m above the current Adige riverbed level. This terrace was probably formed during the last interglacial (ca. 125,000 years BP) and was characterized by Paleudalf soils. Conversely, T2 represents the youngest order of terraces (probably formed during the early Holocene) and is situated 15 m above the current riverbed level. The Q2 site was located in T1 whereas Q3 and Q4 in T2; all sites have a common vegetation. From each site, soil samples have been collected (1 profile and 2 cores per site) by soil horizon, and each horizon sub-sampled by depth (each 5 cm). Five-cm thick sub-samples have been characterized for pH, electrical conductivity, total organic C (Corg), total N (NTOT), texture, and micro and macro nutrients. Particulate organic matter (POM) and mineral-associated organic matter (MAOM) have been isolated using a physical fractionation method and characterized by elemental (CHNS) and thermal analysis (TGA-DSC).

The average Corg content in the topsoil (20 cm) is quite constant in the three sites (27.4 mg/g), whereas the average NTOT concentration ranges between 2.7 and 3.1 mg/g. In all sites, the Corg concentration along the profile is positively correlated with NTOT (p<0.001); moreover, a positive and significative correlation between Corg and clay (p<0.001) was observed exclusively in Q2, while in all sites Ca, instead of Al or Fe, seems to play a major role in Corg sequestration. SOC stock in topsoil is 47% higher in Q2 (T1) (72±3 MgC/ha) than in Q4 (T2) (49±5 MgC/ha), but such a difference decreases at 35 cm (96±2 and 76±7 MgC/ha, respectively). Furthermore, in the site showing the deepest soil profile (Q3), the SOC accumulated between 35 and 80 cm (42 MgC/ha) represents the 33% of the total. The average content of the MAOM pool is constant along the T2 (Q3 and Q4) profiles (52%), while increases with depth in T1 (up to 62% in deeper layers).

Thermal indices (e.g., WL400-550/200-300, TG-T50, DSC-T50) suggest that the stability of bulk SOM generally increases with depth in the three sites. Moreover, a general increase in the thermal stability of both MAOM and POM is observed with depth in all sites, with Q2 (i.e., the site in the oldest terrace) showing a larger increase of MAOM thermal stability in deeper soil compared to Q3 and Q4 (located on the youngest terrace).

While most of the studies on SOC sequestration and stabilization focuses on topsoils, our preliminary data show that a significant stock of more recalcitrant organic C accumulates in deeper soils. Future data will help to better understand the effect of time on SOC distribution among different pools and as a function of depth.

How to cite: Galluzzi, G., Plaza, C., Priori, S., Giannetta, B., and Zaccone, C.: Soil organic carbon sequestration and dynamics along a chronosequence on fluvial terraces, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3027, https://doi.org/10.5194/egusphere-egu22-3027, 2022.

EGU22-3399 | Presentations | SSS5.3

Upscaling microbial stoichiometric adaptability in SOM turnover using the SESAM model: specifics of phosphorous dynamics. 

Thomas Wutzler, Lin Yu, Sönke Zaehle, Marion Schrumpf, Bernhard Ahrens, and Markus Reichstein

In order to understand the coupling of land ecosystem carbon (C), nitrogen (N), and phosphorous (P) cycles, it is necessary to understand microbial element use efficiencies (C, N and P) of soil organic matter (SOM) decomposition. While important controls of those efficiencies by microbial community adaptations have been shown at the scale of a soil pore, an abstract simplified representation of community adaptations is needed at the ecosystem scale. The conceptual soil enzyme allocation model (SEAM) explicitly models community adaptation strategies of resource allocation to extracellular enzymes and enzyme limitations on SOM decomposition. It thus provides a scaling from representing several microbial functional groups to a single holistic microbial community. The model has been further abstracted using quasi-steady-state assumption for extracellular enzyme pools to the SESAM model. While initially, P optimality considerations have been treated analogue to N, we found with simulating a sequence of sites with a P availability gradient that model extensions were required for P. Here we discuss effects of explicitly considering two assumptions on SOM dynamics: (1) oxidative enzymes can acquire P from SOM without necessary stoichiometric decomposition of C and N, and (2) for the case where P is limiting, in addition to P cost, also the C and N cost of enzyme production are important for optimality. We found that neglecting these two assumptions did not significantly change system behavior and predictions in the case where P was not limiting soil microbes. However, it changed model predictions of ecosystem-scale SOM dynamics for the case where P started to become limiting.

This modeling study links knowledge of constraints at soil microbial scale to SOM dynamics at ecosystem scale. It highlights the important role of adaptability of soil microbial communities to resource supply and stoichiometry for the development of SOM stocks and nutrient availability.

How to cite: Wutzler, T., Yu, L., Zaehle, S., Schrumpf, M., Ahrens, B., and Reichstein, M.: Upscaling microbial stoichiometric adaptability in SOM turnover using the SESAM model: specifics of phosphorous dynamics., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3399, https://doi.org/10.5194/egusphere-egu22-3399, 2022.

EGU22-3506 | Presentations | SSS5.3

Soil micro-food web adaptations to stoichiometric imbalance regulate soil multifunctionality 

Bing Li, Yingbin Li, Xu Han, Yuhui Li, and Qi Li

Ecological stoichiometry theory plays a crucial role in linking ecosystem process. The interactions between organisms and/or between organisms and abiotic environment are strongly affected by the biological demand for elements and their supply by environment. Therefore, the complex feedback between the elemental stoichiometry of organism and their resources maintains the functioning of ecosystem. However, whether and how the multiple responses of soil micro-food webs to stoichiometric imbalance affect the soil multifunctionality have never been assessed so far. In this study, we tested the soil multifunctionality along the forest-steppe ecotone and assessed several potential adaptation mechanisms of soil micro-food web responding to elemental limitations including soil microbial stoichiometry, extracellular enzyme activities and the composition of soil communities as well as ecological network. The soil multifunctionality gradually decreased from forest towards steppe. The microorganisms invested more C-acquiring enzymes over nutrient-acquiring enzymes with decreasing soil C:N:P ratios, while the increasing C limitation in steppe soil enhanced microbial threshold element ratio and carbon-use efficiency. The changes in extracellular enzyme activity and community structure of soil micro-food web had a stronger impact on soil multifunctionality. The multiple adaptive pathways of soil micro-food web to the stoichiometric imbalance of resources, jointly affected the multifunctionality of soil. Our study provides deeper insights into how stoichiometric constraints may induce shifts in soil micro-food web and then influence the ecosystem functioning. Our findings have important implications for integrating shifts in individual physiological metabolism as well as changes in community composition of soil biota and for better understanding the relations of soil biodiversity and soil multifunctionality in terrestrial ecosystems.

How to cite: Li, B., Li, Y., Han, X., Li, Y., and Li, Q.: Soil micro-food web adaptations to stoichiometric imbalance regulate soil multifunctionality, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3506, https://doi.org/10.5194/egusphere-egu22-3506, 2022.

EGU22-4920 | Presentations | SSS5.3

Accounting for microbial dynamics to simulate soil functions under agricultural management 

Sara König, Thomas Reitz, Ulrich Weller, and Hans-Jörg Vogel

Mechanistic simulation models are an essential tool for predicting soil functions such as nutrient cycling, water filtering and storage, productivity and carbon storage as well as the complex interactions between these functions. Most soil functions are driven or affected by soil organisms. Yet, biological processes are often neglected in soil function models or implicitly described by rate parameters. This can be explained by the high complexity of the soil ecosystem with its dynamic and heterogeneous environment, and by the range of temporal and spatial scales these processes are taking place at.

Here, we meet these challenges and present our approach for integrating biological microscale processes into soil modelling. We introduce our systemic soil model BODIUM which simulates relevant microbial processes at the profile scale to analyse the impact of different agricultural management and climatic conditions on soil functions. For this, BODIUM includes different microbial pools as well as C:N stoichiometric considerations but does not explicitly account for microbial community structure or composition dynamics. In our approach, soil structure dynamics at the pore scale is a critical factor for controlling the availability of carbon and nutrients as well as the distribution of water and oxygen, which in turn jointly drive microbial growth and activity. To explore the potential advantage of BODIUM, we compare our model approach with traditional modelling approaches without explicit microbial activity under different simulation scenarios. We further analyse the impact of changing microclimatic conditions of water, oxygen and nutrient availability as dedicated by a dynamic soil structure on microbial activity and the corresponding soil functions.

Finally, we discuss ongoing developments to additionally consider, e.g., microbe-fauna-interactions, microbial feedback on soil structure dynamics, and phosphor dynamics.

How to cite: König, S., Reitz, T., Weller, U., and Vogel, H.-J.: Accounting for microbial dynamics to simulate soil functions under agricultural management, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4920, https://doi.org/10.5194/egusphere-egu22-4920, 2022.

EGU22-5461 | Presentations | SSS5.3

How diverse minerals affect soil organic matter age distribution and chemical composition 

Shane Stoner, Carlos Sierra, Sebastian Doetterl, Marion Schrumpf, Alison Hoyt, and Susan Trumbore

Soil mineral characteristics have been shown to play a dominant role in stabilizing soil organic matter over medium to long term timescales. However, while great strides have been made (Kleber et al, 2021) toward understanding organic matter stabilization processes, there remain uncertainties about the chemistry, time scales, and age of carbon that is stored on soil minerals. We applied modern thermal analysis methods to investigate soil mineral effects on the thermal stability, chemical composition, and age distribution of soil organic matter. We selected subsoil mineral fractions that contained a single dominant stabilizing pathway (e.g. 2:1 clays, iron oxides, short-range order minerals, crystalline minerals) to isolate effects of individual minerals. We paired thermal fractionation with pyrolysis-GC/MS to describe the relationships of SOM age and chemical composition. Early results show that while certain minerals display heterogeneous thermal stabilities, single mineralogies contain generally narrow age ranges. In addition, organic matter chemistry associated with diverse minerals varies widely and indicates that certain minerals provide higher stability to complex, energy-rich molecules. Associated with this work, we also present novel continuous SOM radiocarbon distributions from thermal fractionation.

How to cite: Stoner, S., Sierra, C., Doetterl, S., Schrumpf, M., Hoyt, A., and Trumbore, S.: How diverse minerals affect soil organic matter age distribution and chemical composition, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5461, https://doi.org/10.5194/egusphere-egu22-5461, 2022.

EGU22-5496 | Presentations | SSS5.3 | Highlight

From energy to (soil organic) matter 

Anna Gunina and Yakov Kuzyakov

This work proposes a new view of soil organic matter (SOM) formation: microorganisms use most of the organics entering the soil as energy rather than as a source of carbon (C), while SOM accumulates as a residual by-product because the microbial energy investment in its decomposition exceeds the energy gain. Considering the annual sequestration of C from litter into SOM of 0.4-5% of the total SOM pool, the energy input is equivalent to 1-10% of the total energy of SOM. Thus, more than 90% of the energy added to the soil by plants is lost in microbial transformation, with SOM representing the residual fraction. The conversion of plant litter accumulates approximately ~ 2% of the energy per unit of persisting plant organic matter. This is the proportion of biochemically stable litter-derived compounds and microbial necromass that get accumulated, while oxidized compounds are completely decomposed or recycled. As a result, SOM has more energy per unit C than plant residues, but the availability of that energy is low. This is because SOM composition is more diverse with a non-regular structure compared to plant residues and thus requires a wider range of enzymes to break it down.

The microbial transformation of plant residues into SOM is a never-ending continuum governed by processes such as mineralization, recycling, microbial necromass, and residue accumulation, all of which determine the energy content, fluxes, and nominal oxidation state of C (NOSC) values of the residual litter and the resulting SOM. NOSC and energy content of SOM are narrower in range than litter, with an average NOSC of -0.3, and a higher energy per unit C. Meanwhile, the NOSC values of available compounds (mainly low molecular weight) released from decomposed polymers play a role in the partition of C between catabolism and anabolism in microorganisms. They also affect the energy investment of microorganisms in nutrient mining from SOM.

The conversion of rhizodeposits and plant litter, considered to be the main sources of C in soil, therefore needs to be re-examined from an energy perspective, including energy quality and availability. This would also require the assessment of energy loss and conservation, as almost all microbial processing is directed towards energy acquisition rather than actual C demand. The small amount of plant-derived C and energy that persist in the form of SOM is only an intermediate phase to ensure energy fluxes in the soil system. Thus, the transformation of rhizodeposits and plant litter represents a process of utilization of the energy stored in them, while SOM is the residual material that persists because its microbial utilization is energetically inefficient.

How to cite: Gunina, A. and Kuzyakov, Y.: From energy to (soil organic) matter, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5496, https://doi.org/10.5194/egusphere-egu22-5496, 2022.

EGU22-5871 | Presentations | SSS5.3

Rock-Eval®-RMQS: Monitoring the Characteristics of SOM on the French Territory with Rock-Eval® 6 Thermal Analysis to Assess its Stability 

Amicie Delahaie, Pierre Barré, François Baudin, Dominique Arrouays, Antonio Bispo, Line Boulonne, Claire Chenu, Claudy Jolivet, Manuel Martin, Nicolas Saby, Florence Savignac, and Lauric Cécillon

Soil organic matter (SOM) is widely recognized as of critical importance for both soil quality and climatic mitigation. The quality and quantity of SOM are key to assess the characteristics of soils, and thus must be accurately monitored in order to protect the integrity of soils. In the last few years, a thermal analysis technique called Rock-Eval® that provides insights on bulk SOM chemistry and thermal stability has been recognized as a powerful method for SOM characterization. It can moreover be applied on large sets of samples.

The RMQS is the French monitoring network of soil quality. The first sampling campaign took place from 2000 to 2015 and resulted – among others – in about 2200 composite surface (0-30 cm) samples taken all over France. It represents an unprecedented collection of precise and complete data on French soils.

We observed significant effects of land cover on both SOM thermal stability and bulk chemistry. The mean values of hydrogen index (HI, which is a proxy for SOM H/C ratio) for arable lands (190.5 ± 43.4 mg HC per g of SOC, n=786) was lower than for grassland soils (228.4 ± 46.3 mg HC per g of SOC, n=486) and forest soils (240.4 ± 66.4 mg HC per g of SOC, n=528). Regarding the oxygen index (OIre6, which is a proxy of SOM O/C ratio), we observed significantly different values (P<0.001) for arable land soils (188.8 ± 30.4 mg O2 per g of SOC), grassland soils (172.4 ± 26.8 mg O2 per g of SOC) and forest soils (164.2 ± 29.6 mg O2 per g of SOC). We also observed that thermal stability of SOM was significantly higher in cropland soils compared to grassland and forest soils. Our data suggest that topsoil SOM is on average more oxidized and biogeochemically stable in croplands. Further analyses will investigate the influence of pedo-climatic conditions on SOM characteristics.

The high number and even repartition of data on the French territory allow for the constitution of a national interpretative referential for these indicators. The Rock-Eval® parameters will also be used to calculate the centennially stable SOC fraction using the PARTYsocv2.0 model and map it at the scale of France.

How to cite: Delahaie, A., Barré, P., Baudin, F., Arrouays, D., Bispo, A., Boulonne, L., Chenu, C., Jolivet, C., Martin, M., Saby, N., Savignac, F., and Cécillon, L.: Rock-Eval®-RMQS: Monitoring the Characteristics of SOM on the French Territory with Rock-Eval® 6 Thermal Analysis to Assess its Stability, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5871, https://doi.org/10.5194/egusphere-egu22-5871, 2022.

EGU22-6144 | Presentations | SSS5.3

Luminescence properties of the humin fraction isolated from Chernozems and Phaeozems from various regions of Poland 

Jerzy Weber, Lilla Mielnik, Romualda Bejger, Aleksandra Ukalska-Jaruga, Elżbieta Jamroz, Maria Jerzykiewicz, Irmina Ćwieląg-Piasecka, Andrzej Kocowicz, Magdalena Dębicka, and Jakub Bekier

Humin fraction of soil organic matter is assigned to play an important role in carbon sequestration and sorption of xenobiotics. This study concerns luminescence properties (fluorescence and delayed luminescence) of humin fraction isolated from mollic horizons of eight Chernozems and Phaeozems, used as arable soils in various regions of Poland. Isolation procedure was described by Weber et al. (2022). Investigated soils differed in the content of TOC, ranging from 13.3 to 41.7 g kg−1, as well as texture from loam (Magnice, Pyrzyce) through silt loam (Trzebnik, Ciepłowody, Hrubieszów) and sandy clay loam (Psary) till clay (Ziemnice, Kętrzyn). They also differed in their pH values (from 5.64 to 7.71), and CEC (from 21.6 to  53.2 cmol(+)kg-1). Ash content of humin varied between 22.89%  - 54.50%, which is typical for humin originated from mineral soils (Stevenson 1994).

References:

Stevenson FJ. 1994. Humus chemistry: Genesis, composition, and reactions. New York: John Wiley and Sons, p 512.

Weber J., Jamroz E., Kocowicz A., Dębicka M., Bekier J., Ćwieląg-Piasecka I., Ukalska-Jaruga A., Mielnik L., Bejger R., Jerzykiewicz M. (2022). Optimized isolation method of humin fraction  from mineral soil material. Environmental Geochemistry and Health, 1-10 https://doi.org/10.1007/s10653-021-01037-3 

 

Acknowledgements

This work was supported by the National Science Center (NCN) Poland (project No 2018/31/B/ST10/00677 “Chemical and spectroscopic properties of soil humin fraction in relation to their mutual interaction with pesticides")

 

How to cite: Weber, J., Mielnik, L., Bejger, R., Ukalska-Jaruga, A., Jamroz, E., Jerzykiewicz, M., Ćwieląg-Piasecka, I., Kocowicz, A., Dębicka, M., and Bekier, J.: Luminescence properties of the humin fraction isolated from Chernozems and Phaeozems from various regions of Poland, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6144, https://doi.org/10.5194/egusphere-egu22-6144, 2022.

EGU22-6222 | Presentations | SSS5.3

Comparison of soil organic matter composition under differentland uses by DRIFT spectroscopy 

Saven Thai, Lenka Pavlů, and Václav Tejnecký

Soil organic matter (SOM) plays vital importance for biological, chemical, and physical soil improvement and productivity. Organic matter composition also depends on different types of vegetation covers. Thus the study was aimed to estimate and characterize the soil organic matter (SOM) under different land uses (cropland, grassland, and forestland) and depths (0-10 cm, 10-20 cm, and 20-30 cm) in Prague Suchdol. Ninety samples of disturbed soil were collected within different land uses and within different depths. The soil organic matter (SOM) composition was assessed by diffuse reflectance infrared fourier transform spectroscopy (DRIFT). Humic and fulvic acid were extracted from soils and their composition was also assessed by DRIFT. Additionally, dissolved organic carbon (DOC), humus quality as ratio between absorbances of soil extract with sodium pyrophosphate at the wavelengths 400 and 600 nm, soil organic carbon (by the rapid dichromate oxidation technique), were determined on the samples as well as physical characteristics as bulk density. The data were analysed statistically by statistical package for the social sciences (SPSS) version 20. The results indicated that pHKCl is significantly different among land uses. Cropland had the highest values of pHKCl with a range from 7.76 to 6.86, followed by grassland with a range from 5.72 to 5.93 and forestland with 3.34 to 3.65, respectively. However, the humus quality was significantly different for all depths where forestland had the lowest humus quality compared to grassland and cropland, respectively. The soil organic carbon deviates statistically in depth 0-10 cm and 20-30 cm, while the depth in between from 10 to 20 cm showed no substantial difference among the land uses. Nonetheless, the result revealed that the largest differences of the spectra in the composition of organic matter were observed in the upper parts of the soil profile. The forest soil spectra had more intense aliphatic bands, carboxylic, and CH bands than spectra of grassland and cropland soils. The difference of HAs spectra was at 3 010 to 2 800 cm-1 where the most intensive aliphatic bands were in forest soil HAs, followed by grassland and cropland soil HAs. The grassland topsoil FAs spectrum differs most from the other land uses. It has lower peaks around 1 660–1 600 cm-1 and 1 200 cm-1 than cropland and forest. The concentration of low molecular mass organic acid (LMMOA) was the highest in the forest soil and the most abundant acid was citrate.

How to cite: Thai, S., Pavlů, L., and Tejnecký, V.: Comparison of soil organic matter composition under differentland uses by DRIFT spectroscopy, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6222, https://doi.org/10.5194/egusphere-egu22-6222, 2022.

EGU22-7504 | Presentations | SSS5.3

Exploring macroscopic properties of soil organic matter using modeling and molecular simulations 

Drazen Petrov, Yerko Escalona, Edgar Galicia, Daniel Tunega, Martin Gerzabek, and Chris Oostenbrink

Soil Organic Matter (SOM) is composed of a complex and heterogeneous mixture of organic compounds. It is of great importance to understand its molecular structure, the conformations and water accessibility, as well as the interfaces and reactivity of SOM with its surrounding. SOM extracts permitted for decades a systematic way of studying SOM via the use of standardized samples.  We used such standardized samples of the International Humic Substances Society (IHSS) to computationally explore the properties of SOM.

We used the Vienna Soil Organic Matter Modeler 2 (VSOMM2; Escalona et al. (2021); https://somm.boku.ac.at/) to produce representative, condensed-phase, atomistic models of IHSS samples. This online tool ensures greater chemical diversity of the models and reproduces the carbon distribution or organic composition estimated by NMR. Generated atomistic models were subjected to molecular dynamics simulations. We characterized these systems in order to observe differences in their structure and dynamics.

Our results indicate the importance of carboxyl and aromatic groups in the molecular interactions, specifically for their interactions with cations and indirectly for their aggregation properties. We also investigated the sorption properties of these systems by calculating the free energy of absorption of inserting a water molecule to the system, which values were affected by the water content, compaction and phases of the organic matter.

These investigations help improve our understanding of properties and behavior of soil organic matter at a molecular level that is not attainable to experiments. We hope that such studies will have a great impact on basic research involving SOM.

How to cite: Petrov, D., Escalona, Y., Galicia, E., Tunega, D., Gerzabek, M., and Oostenbrink, C.: Exploring macroscopic properties of soil organic matter using modeling and molecular simulations, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7504, https://doi.org/10.5194/egusphere-egu22-7504, 2022.

EGU22-9057 | Presentations | SSS5.3 | Highlight

Long-term effects of different organic resource rates, quality and nitrogen fertilizer on SOC development and conversion efficiency across Kenya. 

Johan Six, Moritz Laub, Marijn Van de Broek, Antoine Couedel, Sam Mathu, Magdalena Necpalova, Wycliffe Waswa, Daniel Mugendi, Monicah Mucheru-Muna, Marc Corbeels, and Bernard Vanlauwe

Maize monoculture with low external inputs, as frequently practiced in sub-Saharan Africa, usually leads to the long-term loss of soil fertility. This threatens the already poor yields in the region. Practices that add organic and mineral resources to the soil therefore promise to counteract soil fertility loss by providing the potential feed-stock for microbes to build new soil organic matter. We studied the effect of organic and mineral resource addition from five organic amendment types of different quality (relative N, lignin and polyphenol contents) and quantity and from chemical nitrogen fertilizer, on soil organic carbon (SOC) and soil nitrogen in the 15 cm topsoil of four long-term trials in contrasted sites in Kenya. They had different climate and soil texture and lasted between 16 and 19 years. Treatments were identical among sites, the organic resources were Tithonia diversifolia (high quality and fast turnover) and Calliandra calothyrsus (high quality and slow turnover), stover of Zea mays (low quality and fast turnover), sawdust from Grevillea robusta trees (low quality and slow turnover) and locally available farmyard manure (undefined quality and slow turnover). The organic resources were added in the quantities of 1.2 and 4 t C ha-1 yr-1 and the experiments included a split-plot treatment of ±N addition (120 kg ha-1 in each of the two growing seasons per year).

Despite site-specific differences, the general trend across sites indicated that SOC is usually lost with all treatments. Typical losses ranged from 1.9% to 0.6% loss of initial SOC yr-1 for the control and the farmyard manure (at 4t C ha-1 year-1) respectively. Adding Calliandra or Tithonia at 4t C ha-1 yr-1 also enable to slow the loss (about 1.1% of initial SOC yr-1 lost). Nevertheless, the addition of 4t C ha-1 yr-1 farmyard manure and Calliandra calothyrsus, together with mineral N addition, achieved a gain in SOC over time only in the site which had lowest initial SOC contents (about 6 g C kg-1), a sand of 31% content and a climate that was suitable for maize growth. In contrast, another site with low initial SOC content, high sand content, but a less suitable climate, with frequent failures of the maize crop, lost SOC in all treatments. In the site with initially 25 g C kg-1, the farmyard manure treatment at 4t C ha-1 yr-1 with N addition was the only treatment that could maintain SOC, while in the site with initially highest SOC (about 30 g C kg-1), all treatments lost SOC. The mineral N addition, with the exception of two treatments in the lowest fertility site, had no significant effect on the response of SOC to the different organic resource treatments. Our results indicate that farmyard manure may be the most suitable resource to reduce losses of SOC, but increases may only be possible in sites with initially low SOC contents, e.g. where, because of sufficiently long cultivation activities, a new steady state with low SOC contents has already been attained.

How to cite: Six, J., Laub, M., Van de Broek, M., Couedel, A., Mathu, S., Necpalova, M., Waswa, W., Mugendi, D., Mucheru-Muna, M., Corbeels, M., and Vanlauwe, B.: Long-term effects of different organic resource rates, quality and nitrogen fertilizer on SOC development and conversion efficiency across Kenya., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9057, https://doi.org/10.5194/egusphere-egu22-9057, 2022.

EGU22-9088 | Presentations | SSS5.3

Drivers of the distribution of soil organic matter fractions along a geo-climatic gradient 

Daniel Wasner, Rose Abramoff, Erick Zagal, Marco Griepentrog, and Sebastian Dötterl

The concept of distinct soil organic matter (SOM) fractions – with differing formation pathways, stabilization mechanisms and responses to change – is a promising avenue to improve our understanding of soil carbon (C) dynamics. While there is widespread consensus on the general usefulness of conceptual fractions with specific functional implications, there is still a lack of information on the patterns with which they contribute to bulk soil organic carbon (SOC) stock at larger scales and across climatic and soil physicochemical gradients. In this study, we aimed to assess first the quantitative importance of three key SOM fractions across a diverse range of 12 soil groups with global significance. Secondly, we wanted to gain insights on the environmental drivers that shape the contribution of these fractions to SOC stocks.

Here we sampled a set of 35 grassland topsoils (0 – 10 cm) along a 3000 km north-south transect in Chile ranging from subpolar to Mediterranean climate, and covering 12 WRB major soil groups. Following a modified version of the protocol in Zimmermann et. al (2007), we partitioned the soils into three functional SOM fractions defined by particle size and density (free silt and clay, free particulate organic matter, stable microaggregates), enabling us to quantify SOC stocks and the relative contribution to SOC in these three fractions. In order to identify links between fractions and potential drivers of C stabilization, we further characterized extensively relevant physico-chemical properties of the soils, compiled climatic data of the sites and characterized OM maturity (DRIFT spectroscopy and Rock-Eval pyrolysis) as well as pedogenic, secondary Fe-, Al- and Mn-oxide concentrations through sequential extraction.

We found that the contributions of mineral-associated SOM fractions to bulk SOC varied strongly across the soil gradient, while the contribution of free particulate organic matter was comparatively stable and low. SOM associated with free silt and clay sized particles are the most important C reservoir in soils with less than 4 % SOC, whereas in soils with higher SOC content, the majority of the SOC is contained in stable microaggregates. The SOC stock in various fractions was sensitive to changes in temperature, pedogenic oxides, and OM input vs. decomposition. Comparison of OM maturity showed that free particulate OM and free silt and clay associated OM can be clearly distinguished, while OM in microaggregates is likely a mixture of both. However, drivers of OM composition in microaggregates could not be identified.

This study demonstrates that in SOC-rich soils, microaggregates represent a major fraction of bulk SOC, and that SOC stocks in key SOM fractions can be linked to distinct climatic and soil physicochemical factors.

How to cite: Wasner, D., Abramoff, R., Zagal, E., Griepentrog, M., and Dötterl, S.: Drivers of the distribution of soil organic matter fractions along a geo-climatic gradient, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9088, https://doi.org/10.5194/egusphere-egu22-9088, 2022.

Although most organic matter (OM) in soil is mineralized by microorganisms, the nonmicrobial processes, e.g., Fenton reactions and photo-degradation, strongly contribute to OM decomposition and CO2 emission and are the chemical background of many biotic transformations. Fenton oxidation is a catalytic reaction chain of hydrogen peroxide (H2O2) with ferrous iron (Fe(II)) and Fe (oxyhydr)oxides that generates highly reactive hydroxyl radicals (HO) oxidizing OM to CO2. Reactive Fe (oxyhydr)oxides store at least one quarter (~600 Gt) of organic C in soil, which may be subjected to Fenton reactions in which nano-sized Fe (oxyhydr)oxides act as nanocatalysts. The Fenton mechanisms depend on the sources of reactive oxygen species (ROS): O2•−, H2O2 and HO. Because microorganisms continuously produce ROS, biotic Fenton chemistry is ubiquitous in all soils, especially with strong UV radiation, fluctuating O2 concentrations and redox, microbial hotspots such as rhizosphere and detritusphere, and high contents of Fe (oxyhydr)oxides. Charcoal and biochar catalyze ROS formation in soil as an electron shuttle or by electron transfer from the valence to the conduction band under UV irradiation. Despite the extremely short lifetime (from nanoseconds to a few days), ROS are continuously produced and sustain the ubiquity of chelators and Fe(III) reduction. For the first time we calculated the fundamental Eh-pH diagrams for ROS species and showed their relevance for Fenton reactions under soil conditions. HO as one of the most powerful oxidants (Eo = 2.8 V) provides the most energy release from Fenton reactions in soil. In some ecosystems (hot deserts; red soils in the tropics and wet subtropics) Fenton reactions contribute to OM oxidation to 30% and even exceed 50% of total CO2 emissions. Fenton reactions are omnipresent and play a dual role for soil C cycling: stimulate OM mineralization (including the most stable pools) and facilitate long-term C stabilization due to the increased recalcitrance of remaining OM and organo-mineral complex formation. Summarizing, Fenton reactions and their effects on OM decomposition and formation are an emerging research field that explains the chemical background of many oxidative enzymatic processes, may crucially change our views on C, energy and nutrient cycling in soils.

How to cite: Kuzyakov, Y. and Yu, G.-H.: Reactive oxygen species in soil: Abiotic mechanisms of biotic processes and consequences for organic matter and nutrient cycling, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11390, https://doi.org/10.5194/egusphere-egu22-11390, 2022.

EGU22-11799 | Presentations | SSS5.3

Mechanisms controlling the emission and stabilization of carbon during soil drying-rewetting 

Albert C. Brangarí, Stefano Manzoni, and Johannes Rousk

Terrestrial ecosystems are continuously exposed to dry periods and rainfall events. These cycles of drying-rewetting cause strong variations in biochemical processes that alter the balance of soil carbon (C), affecting both its inputs and losses. The rewetting of dry soils results in large pulses of C dioxide to the atmosphere that can constitute a major fraction of the annual emissions in some ecosystems and, at the same time, promotes the sequestration of C into growing microorganisms. After rewetting, microbial growth and respiration can follow decoupled patterns depending on the intensity of the rewetting and the physiological status of the microbes—in turn, this decoupling can lead to contrasting fates of C between emission and stabilization into soil organic matter. Moreover, these patterns can be classified as either ‘resilient’ or ‘sensitive’, depending on the way C is used over time. Despite the significance of these dynamics for the C budget, the mechanisms controlling them are still not well understood.

To shed some light on this challenging problem, we simulated the soil-microbial response to drying-rewetting by using the process-based model EcoSMMARTS. The results indicated that the history of soil moisture affected the responses to rewetting by promoting microbial groups with specific survival strategies. The soils regularly exposed to ‘severe’ conditions (e.g., shallow horizons in semi-arid or Mediterranean ecosystems) exhibited resilient responses, whereas sensitive responses were obtained in soils from ‘milder’ environments (e.g., humid climates and deep horizons). The resilient responses were obtained when soil microbial communities could cope well with water-stress and could started synthesizing new biomass right after rewetting, which also triggered large respiration peaks induced via osmoregulation. In contrast, sensitive responses were found in communities that could not withstand the effects of drying-rewetting, which led to a delay in microbial growth and sustained C mineralization by cell residues. The disruption of soil aggregates during drying-rewetting was also identified as the major contributor of the C sources fuelling the rewetting responses. By allowing us to attribute rewetting responses to individual processes (physiological, physical, or ecological), these model results improve our understanding of the mechanisms that govern the emission and stabilization of C in soils during drying-rewetting.

 

How to cite: Brangarí, A. C., Manzoni, S., and Rousk, J.: Mechanisms controlling the emission and stabilization of carbon during soil drying-rewetting, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11799, https://doi.org/10.5194/egusphere-egu22-11799, 2022.

EGU22-12247 | Presentations | SSS5.3

Energy content of soil organic matter pools under cropland and grassland sites 

Nina Andre, Martin Schugmann, Anna Kühnel, Martin Wiesmeier, and Steffen Schweizer

The storage of organic carbon in soils is regulated by different physicochemical mechanisms. The physical fractionation of soil organic matter (OM) into particulate and mineral-associated pools has advanced our knowledge based on these operationally-defined different storage forms of organic carbon in soils. Attempts to integrate a thermodynamic perspective to decipher mechanisms of soil organic carbon storage require the integration of our understanding of different physicochemical mechanisms. Here we analyzed the energy contents related to different pools of OM using differential scanning calorimetry. Various pools of OM were isolated by combined density and size fractionation differentiating free particulate OM (fPOM), occluded particulate OM larger than 20 µm (oPOM>20 µm), occluded particulate OM smaller than 20 µm (oPOM<20 µm) and mineral-associated OM smaller than 20 µm (MOM<20 µm). We compared cropland and grassland sites from long-term monitoring sites across Bavaria (Germany). Our aim was to relate the novel energy analyses with characterizations of the carbon storage and OM composition. In the cropland sites we found an energy gradient with increasing energy content (J/mg C) across fPOM, oPOM>20 µm, oPOM<20 µm, MOM<20 µm. The increasing energy gradient was independent of different carbon contents and correlated with decreasing C:N ratios. These results indicate an important role of energy accumulation through association of OM with minerals along the gradual decomposition of different OM pools. A relationship of the energy content with the alkyl/O-alkyl ratio serving as a proxy of decomposition based on 13C NMR spectroscopy was also related with the energy content but to a lower extent. In the grassland sites, the energy content gradient of different OM pools was in a similar range and the C/N ratios of the POM fractions were also lower compared to the cropland sites. By comparing energy stored in OM pools from cropland and grassland sites, we will discuss potential implications of energy analyses for our understanding of soil organic carbon storage.

How to cite: Andre, N., Schugmann, M., Kühnel, A., Wiesmeier, M., and Schweizer, S.: Energy content of soil organic matter pools under cropland and grassland sites, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12247, https://doi.org/10.5194/egusphere-egu22-12247, 2022.

EGU22-12819 | Presentations | SSS5.3

Assessment of short-term effect of CNPS stoichiometry on SOC and soil properties using Vis-NIR spectra 

Sharan Panthi, Nazish Amin, and Sharon O'Rourke

Soil organic carbon (SOC) is known to play a crucial role in soil quality. The general approach to enhance SOC is to minimise soil disturbance and ensure fresh C-inputs to the soil. However, current sustainable land management practices do not always result in an increase in SOC and are not precise enough to prescribe C-inputs to achieve a target soil C stock and management of soil quality. Recently, CNPS stoichiometry has been shown to limit the stabilised SOC pool. The aim of this study was to test CNPS stoichiometry to increase organic matter (OM) mineralization and examine the effect on soil properties following straw incorporated with supplementary nutrients in a soil incubation experiment. The objectives were to (i) quantify the dynamic change in SOC and particulate organic matter (POM) in response to straw incorporation with and without supplementary nutrients based on CNPS stoichiometry and (ii) determine if the limits of detection for visible near-infrared spectroscopy (vis-NIR) can capture short-term change in SOC and POM. Five soils (40g) varying in clay content were incubated for 12 weeks at 25℃ and 70 % field capacity. Soils received straw at a rate of 8 t/ha with and without supplementary nutrients (N, P and S) based on stoichiometric inputs. Vis-NIR measurements were collected for the soil samples post incubation with soil structure intact and and removed (sieved to <2 mm). Laboratory analysis of soil properties is underway. Preliminary exploratory analysis of the spectra was performed by Principal Component Analysis (PCA). Preliminary results of the PCA show that the first two principal components captured the soil variability (PC1 56.09%, PC2 36.0%) however no obvious treatment effect was observed. Further modelling work will investigate if the straw treatments with and without nutrient supplementation produced a measurable change in SOC and POM and if the dynamic change in soil carbon can be detected in the spectra using regression analysis.

How to cite: Panthi, S., Amin, N., and O'Rourke, S.: Assessment of short-term effect of CNPS stoichiometry on SOC and soil properties using Vis-NIR spectra, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12819, https://doi.org/10.5194/egusphere-egu22-12819, 2022.

EGU22-13453 | Presentations | SSS5.3 | Highlight

Soil carbon pools in forested areas affected by fires after the application of restoration measures 

Eugenia Gimeno-García, Ester Carbó, Ricardo Ruiz-Peinado, Eduardo López Senespleda, Stephanie Jalabert, Philippe Chéry, Thomas Pétillon, Francisco Castro Rego, Inês Marques Duarte, and Victoria Lerma-Arce

Wildfires can promote changes in soil organic carbon pools (SOCp) mainly as consequence of the input of ashes and charred materials from the scorched vegetation; and/or the removal of litter layer and organic matter from the upper soil centimetres affected by high temperatures. Moreover, post-fire management practices can also cause changes in the different forms of organic carbon in the soil (from the most labile to the most recalcitrant).

In the REMAS project, a methodology to study the different SOCp is proposed to assess the effects of the application of different management post-fire practices over the burned areas: (1) cut and remove burned trunks, (2) shrub clearing letting the masticated debris on the soil carried out 6-8 years after the fires and, (3) no intervention treatment. The SOCp analysed include hot-water extractable C, particulate organic C, associated to the mineral fraction and total organic C. The study areas include diverse forest ecosystems from France (Pinus pinaster Ait.), Portugal (Quercus suber L.) and Spain (Pinus halepensis Mill.and Pinus sylvestris L.). Results show variable effects of the management practices on the different organic C pools, mainly over the most labile ones.

Acknowledgements: The REMAS project SOE3/P4/E0954 is co-financed by the Interreg Sudoe Program through the European Regional Development Fund (ERDF).

How to cite: Gimeno-García, E., Carbó, E., Ruiz-Peinado, R., López Senespleda, E., Jalabert, S., Chéry, P., Pétillon, T., Castro Rego, F., Marques Duarte, I., and Lerma-Arce, V.: Soil carbon pools in forested areas affected by fires after the application of restoration measures, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13453, https://doi.org/10.5194/egusphere-egu22-13453, 2022.

EGU22-296 | Presentations | SSS5.6

Interactions of dissolved soil organic matter and manganese oxides 

Lena Brüggenwirth, Oliver Lechtenfeld, Ricarda Behrens, Klaus Kaiser, Robert Mikutta, and Christian Mikutta

Secondary minerals such as iron and aluminum (oxyhydr)oxides are a well-known key factor determining the accumulation and persistence of organic carbon (OC) in soil. Manganese (Mn) oxides, although being less abundant in soil than other oxide minerals, may also bind and stabilize organic matter. In addition, they exhibit a high redox activity that may promote oxidation of refractory organic compounds into substrates easily available to microorganisms. However, little is known about the adsorption and oxidation of dissolved OC (DOC) by Mn oxides. Therefore, we investigated the adsorption of dissolved organic matter (DOM) to vernadite, acid birnessite, and cryptomelane, by varying DOM type (beech and pine-derived), pH (4 and 7), and background electrolyte composition (no salt addition, 0.01 M NaCl or CaCl2). Preliminary results show that the extent and kinetics of DOM adsorption as well as oxidative DOM transformation strongly differed with Mn oxides and sorption conditions. Overall, DOM adsorption was higher at pH 4 than at pH 7. Vernadite was most sorptive, retaining 68% to 85% of added DOC at pH 4. At pH 7, on average 30% less DOC was adsorbed by Mn oxides. After reaction, reduced specific ultraviolet absorbance at 280 nm of DOM indicates preferential adsorption of aromatic moieties. Contact of DOM with Mn oxides also resulted in high concentrations of dissolved low-molecular-weight (LMW) organic acids, consisting mainly of formic, acetic, oxalic, and citric acid. In addition, we will present results from liquid chromatography/Fourier transform ion cyclotron resonance mass spectrometry and X-ray diffraction on the molecular transformation of reacted DOM and reductive changes of reacted Mn oxides, respectively. Consequently, interactions of DOM and Mn oxides may promote selective sorptive stabilization of organic matter as well as support microbial growth due to oxidative production of easily available organic compounds.

How to cite: Brüggenwirth, L., Lechtenfeld, O., Behrens, R., Kaiser, K., Mikutta, R., and Mikutta, C.: Interactions of dissolved soil organic matter and manganese oxides, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-296, https://doi.org/10.5194/egusphere-egu22-296, 2022.

EGU22-321 | Presentations | SSS5.6

Organic matter distribution from the biomass to the soil in grassland, forest, and mixed ecosystem. 

Disha Baidya, Biswajit Roy, and Prasanta Sanyal

Soil organic matter (SOM) is made up of different components that are contributed by plant residues and living microbial biomass. The quantitative estimation of the above-ground biomass is mostly done using the molecular proxies (n-alkane) and δ13C values of SOM. However, the estimations can be site-specific and can vary depending on the contribution from the C3 and C4 plants. In a need to understand the transfer of biomass signals from the vegetation to soil, sampling sites (1mX1m) were chosen which comprises a pure grassland (C4), forest land (C3), and a mixed vegetation ecosystem from the lower-Gangetic floodplain. The  δ13C values of the above-ground biomass in grassland, forestland, and mixed ecosystem show a variation of 4‰, 7‰, and 20‰, respectively. In the associated soil, however, the incorporation of organic matter from the vegetation was not straightforward and showed a variation between +1‰ and -8‰ in three different sites. The values were 13C-enriched in soil underlying the Grassland and depleted in forest soils. The n-alkane molecular proxies in the soil such as CPI, ACL, show a decrease (about 50%) and increase in LMW/HMW concentrations in values among different sites. The decrease in molecular proxies was evident due to differences in organic matter contribution from different species. In C3 forest, the difference in degradation from different components of trees (twigs, leaves, flowers, fruits) reduces the molecular proxies and also the  δ13C values in the soil. On the other hand, grasses acting as a whole, impart limited modification during incorporation into the soil. 

How to cite: Baidya, D., Roy, B., and Sanyal, P.: Organic matter distribution from the biomass to the soil in grassland, forest, and mixed ecosystem., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-321, https://doi.org/10.5194/egusphere-egu22-321, 2022.

EGU22-909 | Presentations | SSS5.6

LC-QTOF-MS analyses shed new light on dissolved organic matter composition and podzolization 

Boris Jansen, Olaf Brock, and Rick Helmus

Dissolved Organic Matter (DOM) in soils has received much research attention over the years. This is not surprising given the important role this most mobile fraction of soil organic matter plays in processes such as pedogenesis, transport and bioavailability of natural and anthropogenic compounds, and the soil’s C cycle. With the increasing advancement of analytical chemical tools, our capabilities of studying the behaviour and interaction of DOM have developed dramatically over the years. Particularly interesting has been the development of advanced molecular characterization tools such as LC-QTOF-MS. However, while showing great promise, the interpretation and aggregation of the vast amounts of data produced by such advanced molecular approaches is a challenge

Here we show how non-target screening by LC coupled to high resolution QTOF-MS detection can be applied to obtain meaningful information about the molecular composition of DOM derived from coniferous and deciduous tree leaf litter material. We highlight both the chemical analysis and the subsequent data interpretation steps needed to arrive at identification of chemical compounds and formulas. For the latter we used a data processing workflow with the in-house developed open-source patRoon software package. As a specific example of the new possibilities opened by this type of detailed characterization methods, we present the results of its application to shed light on the role of DOM in the formation of Podzols

References                        

Brock, O., Helmus, R., Kalbitz, K., & Jansen, B. (2020). European Journal of Soil Science, 71(3), 420-432. https://doi.org/10.1111/ejss.12894

Helmus, R., Ter Laak, T., Van Wezel, A., De Voogt, P. & Schymanski, E. (2021). Journal of Cheminformatics, 13(1). https://doi.org/10.1186/s13321-020-00477-w

How to cite: Jansen, B., Brock, O., and Helmus, R.: LC-QTOF-MS analyses shed new light on dissolved organic matter composition and podzolization, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-909, https://doi.org/10.5194/egusphere-egu22-909, 2022.

EGU22-1354 | Presentations | SSS5.6

Initial soil formation by biocrusts: nitrogen demand and clay protection control microbial necromass accrual and recycling 

Baorong Wang, Wolfgang Wanek, Yimei Huang, Yakov Kuzyakov, and Shaoshan An

Microbial biomass and necromass are increasingly considered to be the main source of organic carbon (C) formation in soils. However, quantitative information on the contribution of microbial necromass to soil organic carbon (SOC) formation and the factors driving microbial necromass accumulation, decomposition and stabilization during initial soil formation in biological crusts (biocrusts) have remained elusive. To address this knowledge gap, we investigated the composition of microbial necromass and its contributions to SOC sequestration in a biocrust formation sequence consisting of five stages: bare sand stage, cyanobacteria stage, cyanobacteria-moss stage, moss-cyanobacteria stage, and moss stage on sandy parent material on the Loess Plateau. The fungal and bacterial necromass C content was analyzed based on cell wall biomarkers, i.e. amino sugars. Microbial necromass was an important source of SOC, and was incorporated into the particulate and mineral-associated organic C (MAOC). Because bacteria have smaller and thinner cell wall fragments as well as more proteins than fungi, bacterial necromass mainly contributed to the MAOC pool, while fungal residues contributed more to the particulate organic C (POC) pool. MAOC saturation by microbial necromass and the fact that POC accumulated more rapidly than MAOC during initial soil formation suggest that the clay content was the limiting factor for stable C accumulation in this sandy soil. Microbial necromass exceeding the MAOC saturation level was further stored in the labile POC pool (especially necromass from fungi). Activities of four enzymes (i.e., β-1,4-glucosidase, β-1,4-N-acetyl-glucosaminidase, leucine aminopeptidase, and alkaline phosphatase) increased with fungal and bacterial necromass, suggesting that the increasing activity of living microorganisms led to an accelerated turnover and formation of necromass. Microbial N limitation raised the production of N acquisition enzymes (e.g., β-1,4-N-acetyl-glucosaminidase and leucine aminopeptidase) to break down necromass compounds, leading to further increases of bio-available N in soil solution. The decrease of microbial N limitation along the biocrust formation chronosequence is an important factor triggering microbial necromass accumulation during initial soil development. High microbial N demands and insufficient clay protection led to fast necromass reutilization by microorganisms and thus, resulted in a low necromass accumulation coefficient, that is, the ratio of microbial necromass to living microbial biomass (on average, 9.6). Consequently, microbial necromass contribution to SOC during initial soil formation by biocrusts was lower (12-25%) than commonly found in fully developed soils (33%-60%, literature data). Nitrogen limitation of microorganisms and increased ratios between N-acquiring enzyme activities and microbial biomass N, as well as limited clay protection and MAOC saturation resulted in a low contribution of microbial necromass to SOC during initial development of this biocrust-covered sandy soil. in summary, soil development led not only to SOC accumulation, but also to increased contribution of microbial necromass to SOC, while the plant biomass contribution to SOC decreased.

How to cite: Wang, B., Wanek, W., Huang, Y., Kuzyakov, Y., and An, S.: Initial soil formation by biocrusts: nitrogen demand and clay protection control microbial necromass accrual and recycling, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1354, https://doi.org/10.5194/egusphere-egu22-1354, 2022.

EGU22-1470 | Presentations | SSS5.6

Divergent response of plant-derived lipids and fire-derived organic matter to warming and elevated CO2 in a boreal peatland. 

Ofiti Nicholas, Zosso Cyrill, Hanson Paul, Wiesenberg Guido, and Schmidt Michael

Peatlands occupy ~3% of the land surface, yet they store more than one-third of global terrestrial carbon. However, there is growing concern that the decomposition of this vast carbon bank in the face of climate change could alter peatlands from a carbon sink to a carbon source, but experimental data is scarce. Here, we examine peatland carbon stability after four years of whole-ecosystem warming (+0, +2.25, +4.5, +6.75 and +9 °C) and two years of elevated CO2 manipulation (500 ppm above ambient). We use solvent-extractable (alkanoic acids, alkanols and alkanes) and hydrolysable lipids (cutin and suberin) and benzene polycarboxylic acids (BPCA) as tracers for fire-derived organic matter and investigate their degree of decomposition in a boreal forested peatland.

We found fire-derived organic matter stemming from past fires, either nearby or long-distance atmospheric transport. Warming alone or when combined with elevated CO2 did not affect the quantity and quality of fire-derived organic matter stemming from past fires, as indicate by the molecular markers BPCA. The wet conditions probably helped to preserve these slowly degrading aromatic compounds. Molecular markers for leaf- (cutin) and root‐derived biomass (suberin), showed that with warming more new plant biomass came from roots, at the expense of leaf-derived compounds under both, ambient and elevated CO2 treatments, implying dynamic alterations to leaf and root carbon incorporation and sequestration with environmental changes. These responses were more pronounced in the surface aerobic acrotelm, highlighting that the aerobic layer responded surprisingly fast, within a few seasons to changing environmental conditions.

How to cite: Nicholas, O., Cyrill, Z., Paul, H., Guido, W., and Michael, S.: Divergent response of plant-derived lipids and fire-derived organic matter to warming and elevated CO2 in a boreal peatland., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1470, https://doi.org/10.5194/egusphere-egu22-1470, 2022.

EGU22-1575 | Presentations | SSS5.6

Sea water chemistry during Archean-Paleoproterozoic transition: Insight from the Aravalli Supergroup, India. 

Abhisikta Goswami, Sarada Prasad Mohanty, and Shushanta Sarangi

The Paleoproterozoic Aravalli Supergroup has an unconformable relationship with the Mewar Gneissic Complex (MGC) of Archean age. The MGC in the Umra area, Rajasthan, India is represented by gneisses, granite, and amphibolite, and has development of a paleosol horizon below the unconformity surface separating it from the Aravalli Supergroup. The Aravalli metasediments have undergone metamorphism up to greenschist facies and have a scattered age of about 2.3-1.8 Ga. The lower part of the Paleoproterozoic succession comprises conglomerates, volcanics, carbonates with microbial mats, and carbonaceous phyllites. These metasediments provide geochemical proxies to the seawater conditions during the Great Oxidation Event (GOE) as these happen to lie on the age range where the Archean-Proterozoic transition occurred.  

Conglomerates present in the lower part of the Aravalli Supergroup are polymictic, clast to matrix-supported, and massive. Euhedral magnetite grains scattered in the matrix indicate a suboxic-anoxic condition of deposition. The overlying carbonates of the area show both negative as well as positive δ13CV-PDB   excursions.  The positive δ13C excursion can be correlated with the Lomagundi event. This excursion indicates a warm water condition at the time of the GOE and is supported by the presence of microbial mats in the carbonate unit. On the other hand, the negative excursion may be representative of the Paleoproterozoic glaciation event. The PAAS normalized REE data of the carbonates have HREE>LREE, with a flat to positive Ce* and Eu* anomalies and no significant Y-anomaly, indicating a suboxic-anoxic condition of seawater during deposition in a shallow sea. The carbon phyllite present above the carbonate unit in the area hosts uranium mineralization which is associated with chalcopyrite and pyrite. The Δ34S data of the pyrites show a reducing environmental condition of mineralization. The studies related to the metasediments of the Aravalli Supergroup provide a clue to the seawater conditions that prevailed during the Archean-Proterozoic transition and also provide deeper insights into the Great Oxidation Event.  

 

How to cite: Goswami, A., Mohanty, S. P., and Sarangi, S.: Sea water chemistry during Archean-Paleoproterozoic transition: Insight from the Aravalli Supergroup, India., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1575, https://doi.org/10.5194/egusphere-egu22-1575, 2022.

Soil organic matter is composed to a large extent of microbial necromass, including fragmented cell wall residues and other cytoplasmic components from dead fungi and bacteria. These components accumulate in soil over long periods of time and have been used as biomarkers to trace microbial residues. Amino sugars are key components of microbial cell walls and can be found in polymeric forms as fungal chitin and bacterial peptidoglycan in soils. Among the most abundant amino sugars in soil are glucosamine, galactosamine, mannosamine and muramic acid. Glucosamine is used as a biomarker for both fungal and bacterial necromass, while muramic acid is exclusively found in bacterial peptidoglycan. Neutral sugars can also be used as biomarkers, where pentose:hexose ratios are used to determine the contribution of plant biomass relative to microbial necromass to soil organic matter (SOM). Potentially uronic acids can also be used as plant versus microbial biomarkers. Acid hydrolysis breaks apart polymers such as peptidoglycan, chitin, and plant matter into monomers, which can later be quantified to estimate the contribution of bacterial, fungal and plant necromass to stabilized SOM. Due to their structural similarity and complexity, high-throughput identification and quantification of these compounds has remained a challenge. Derivatization using 1-phenyl-3-methyl-5-pyrazolone (PMP) has been used to characterize carbohydrates because of its simple and rapid reaction mechanism and enhanced ionization efficiency with ESI-MS. Our aim was to develop a highly sensitive method to quantify sugar-containing compounds in a single rapid assay using pre-column PMP derivatization. Separation and quantification of the PMP-derivatives was carried out using reversed-phase ultra-high performance liquid chromatography (RP-UHPLC) coupled to high resolution-high accuracy Orbitrap mass spectrometry (MS). Our method allowed the simultaneous separation and quantification of >20 compounds, including hexosamines, muramic acid, N-acetylhexosamines, hexuronic acids, pentoses, hexoses, deoxyhexoses, cellobiose, chitobiose, and chitotriose. All PMP derivatives were separated within 20 minutes. This method provides high resolution and high sensitivity for the quantification of diverse sugar-related compounds in one single assay, which demonstrates its potential in measuring complex and heterogeneous mixtures. Likewise, this method can also be applied in isotope tracing studies, where the turnover and stabilization of 15N and 13C labeled compounds in necromass are traced through the different soil pools using UPLC-Orbitrap mass spectrometry.

How to cite: Salas, E., Kaiser, C., and Wanek, W.: Fast and sensitive detection of amino sugar, neutral sugar and uronic acid biomarkers using 1-phenyl-3-methyl-5-pyrazolone (PMP) derivatization and reversed phase liquid chromatography coupled to Orbitrap mass spectrometry, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2244, https://doi.org/10.5194/egusphere-egu22-2244, 2022.

EGU22-5256 | Presentations | SSS5.6

Spatio-temporal variation of water soluble organic carbon in an intermittent catchment (Hesse, Germany) 

Alexander Santowski and Peter Chifflard

The terrestrial carbon cycle is a well researched topic, but for this we basically assume a perennial water flow, which transports the organic carbon along terrestrial flow pathways from the soils to the fluvial network. Climate change will accelerate hydrological processes within water basins and lead to more intermittent catchments, where internal water fluxes will be interrupted and subsurface water flow pathways disturbed due to dry periods. From this perspective, the question arises, what is the impact of an intermittent catchment in the low mountain range on water-soluble carbon transport in the headwaters? To meet this question soil samples were taken seasonally including snowmelt events both in an intermittent and a perennial catchment of a headwater stream over a period of one year. A total number about 700 soil samples were collected in five field campaigns. A transect-based system was used to sample the slopes along the upper slope, middle slope and lower slope. The sample points were chosen to cover all catchment slopes and also the exposures. In the laboratory, the following indicators were determined with the help of a TOC analyser (Shimadzu), C/N analyser (Elementar), photometer (Thermo Fischer) and fluorescence spectrometer (Shimadzu): DOC (WSOC), TOC, SUVA254, spectral slopes, BIX, FI and freshness index. The analysis of the comprehensive dataset aimed to build a bridge between the clear changes in the individual events and the annual course and to show how changes, such as the dry fall in the intermittent catchment, 'first flush' effects during heavy rainfall events and new carbon input in autumn through leaf fall impact the spatial and temporal variability of WSOC, which indicates changing of subsurface transport pathways. Preliminary results indicate that indices and total dissolved carbon in the intermittent catchment show differences (factor 0.9) compared to the perennial catchment.

How to cite: Santowski, A. and Chifflard, P.: Spatio-temporal variation of water soluble organic carbon in an intermittent catchment (Hesse, Germany), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5256, https://doi.org/10.5194/egusphere-egu22-5256, 2022.

EGU22-5909 | Presentations | SSS5.6

Radiocarbon based turnover rates of soil organic matter fractions along climatic and biogeochemical gradients across in Switzerland 

Margaux Moreno Duborgel, Luisa Isabell Minich, Negar Haghipour, Beatriz González-Domíngez, Samuel Abiven, Timothy Eglinton, and Frank Hagedorn

Soil organic matter (SOM) is the largest organic carbon (OC) pool on Earth’s surface after sedimentary rocks. Soil carbon storage is a key process that can mitigate climate change through the sequestration of CO2 from the atmosphere. However, numerous uncertainties persist concerning how SOM reacts to changing environments due to the challenges in disentangling the effects and interplay between different climatic and physico-chemical controls on SOM stabilization. Radiocarbon has proven to be a useful tool to identify SOM sources and turnover times, yet comprehensive investigations of 14C dynamics of SOM across climatic and environmental gradients remain scarce.

Our study aimed at better understanding the drivers of carbon dynamics across different ecoregions in a large suite of 54 Swiss soils (0-20 cm depth) that span a broad range of climate and geological conditions. We measure radiocarbon signatures of different SOM fractions separated on the basis of density and chemical reactivity from both recently sampled (2014) and archived soils (collected in the 1990s) in order to estimate the evolution of 14C in the different soil fractions over two decades. Results are interpreted in the context of a comprehensive soil database in order to assess the impact of different drivers, such as climatic conditions, bedrock, altitude, land-use, soil biogeochemical properties on 14C signatures and turnover times of different SOM pools.

First results show a strong contrast between particulate organic matter (POM) and mineral associated organic matter (MAOM) fractions of the soils. The particulate organic matter 14C signature decreased between the two soil inventories, on average from 113 ‰ to 78 ‰, following the decline of 14C bomb spike in the atmosphere. This shows that thePOM is a fast cycling reactive pool. In contrast, MAOM finer than 20 µm showed an increase in Δ14C from -35‰ in the 1990s’ samples to 0.8 ‰ in 2014, indicating substantial C fluxes through MAOM cycling at decadal time scales. Further oxidation of MAOM using hydrogen peroxide, removing about 80 to 90% of its C, revealed that MAOM is composed of very old SOM with Δ14C values as low as -104.9 ± 0.8 ‰ and thus millennia old. By contrast, the removed SOC had high Δ14C values around 40 ‰. This finding implies that MAOM consists of a continuum from rather stable SOM to rather rapidly cycling components. First results also indicate a strong influence of pH on turnover times, suggesting slower OM processing in acidic soils. By linking our 14C data to auxiliary data, we will explore the factors driving turnover rates of fast and slower cycling OC pools and pinpoint their vulnerability to climate change.

How to cite: Moreno Duborgel, M., Minich, L. I., Haghipour, N., González-Domíngez, B., Abiven, S., Eglinton, T., and Hagedorn, F.: Radiocarbon based turnover rates of soil organic matter fractions along climatic and biogeochemical gradients across in Switzerland, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5909, https://doi.org/10.5194/egusphere-egu22-5909, 2022.

EGU22-8145 | Presentations | SSS5.6

What controls the fate of carbohydrates in meromictic lake sediments throughout the Holocene? 

Niroshan Gajendra, Jasmine Berg, Hendrik Vogel, Carsten Schubert, and Mark Lever

Carbohydrates are a ubiquitous constituent of living organisms and an important contributor to global sedimentary carbon pools. Yet, the factors that control the pool size and degradation of sedimentary carbohydrates are not well understood. Here, we investigated carbohydrate cycling over a complete Holocene sedimentary succession in high-altitude, meromictic Lake Cadagno (Switzerland). This succession includes sedimentary records of a stepwise evolving lake redox history from oxic, hypoxic to euxinic anoxic, as well as intercalated layers of lacustrine and event deposits. Event deposits differ from lacustrine layers in organic carbon content, stable isotope signatures, carbohydrate contents, and carbohydrate macromolecular compositions (pyrolysis gas/mass spectrometry) indicating significant terrestrial inputs. However, past changes in redox conditions, implied by redox-sensitive elements (e.g. Mn, Fe, Mo, and S), are not reflected in carbon isotope and carbohydrate data. Carbohydrate contributions are stable, or even increase, with sediment age and show compound-specific variations. Certain carbohydrate pyrolysis products of likely aquatic origin, such as levoglucosan, increase in percentage with sediment age, whereas others, such as furaldehyde, decrease with age. On the other hand, pyrolysis products that are of likely terrestrial origin, such as 3-acetamido-methylfuran, decrease strongly with age. In contrast to carbohydrate macromolecules, gas chromatography with flame-ionization detection analyses showed no clear changes in total hydrolyzed carbohydrate monomer compositions in relation to sediment age or between aquatic- and terrestrial-dominated layers. Our results indicate that carbohydrate degradation in sediments is mainly controlled at the macromolecular level. Notably, our findings suggest that carbohydrates can be well-preserved over the entire Holocene in lake sediments and that aquatic carbohydrates are in some cases selectively preserved over their terrestrial counterparts in these sediments.  

 

How to cite: Gajendra, N., Berg, J., Vogel, H., Schubert, C., and Lever, M.: What controls the fate of carbohydrates in meromictic lake sediments throughout the Holocene?, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8145, https://doi.org/10.5194/egusphere-egu22-8145, 2022.

EGU22-8758 | Presentations | SSS5.6

Mediterranean soils under climate change: a drying-rewetting experiment with 14C-labelled glucose 

Layla M. San Emeterio, José Antonio González Pérez, Jingwen Chen, Ignacio Pérez Ramos, María Teresa Domínguez, Yakov Kuzyakov, and Anna Gunina

Drying-rewetting cycles (DRC) affect litter and soil organic carbon (SOC) decomposition and mineralization, especially in Mediterranean ecosystems. Global climate change is expected to increase drought periods as well as heavy precipitation frequency, which in turn will increase soils DRC. However, the effects of DRC on the functioning of microbial communities and dynamics of dissolved organic carbon (DOC) remain elusive. Here, we investigate the effects of climate-change on organic carbon turnover rates based on a DRC approach.

Composite dehesa soil samples (0-10 cm) (Pozoblanco, Córdoba, Spain) were taken from three forced climatic treatment plots (W: warming (heat increase); D: drought (water restriction); C: Control). The plots were installed 4 yrs ago under two distinct habitats: evergreen oak canopy (designated as ‘tree’) and in the open pasture (‘open’). The soil samples were incubated for 26-days at a constant moisture (40% of water-holding capacity, WHC) and labelled 14C-glucose (150 % of C from microbial biomass). Afterwards, to simulate drought in nature, ¾ of each sample were dried and further four rewetting treatments were established: 1) constant-moisture at 40% WHC, 2) slow DRC with 5-days water addition to 40% WHC, 3) fast DRC with all water added during the first day of the experiment, and 4) dry DRC with 7-days drying and no rewetting. Following DRC period, there was an extended incubation (26 d in total), where samples were taken at three times after rewetting (4, 7 and 26 days) for further analyses. Total and 14C-glucose-derived dissolved organic carbon (DOC), microbial biomass (MBC), C, N and P related enzymatic activities, and other parameters of microbial growth were measured. During the incubation period total and 14C-CO2 were also monitored.

The results obtained and the discussion of the DRC effects detected and main threads regarding climate change in Mediterranean dehesa agroforestal system such as increasing temperatures and drought events on microbial biomass, respiration and C turnover, will be detailed. Changes in DRC can alter organic C mineralization, in turn such effect can strongly depend on previous field-induced conditions in Mediterranean savannas. In addition, our results will help to understand the responses of soil MBC and DOC to DWC in Mediterranean ecosystems and could improve the prediction of CO2 emission under a changing environment in the future.

Acknowledgment: EU-EJC 2nd Call Projects MIXROOT-C and MAXROOT-C. L.M. San Emeterio thanks Ministerio de Ciencia Innovación y Universidades (MICIU) FPI research grant (BES-2017-07968) and the German Academic Exchange Service (DAAD) for funding. A.M. Carmona, M.D. Hidalgo, P. Campos and K. Schmidt are acknowledged for technical assistance.

How to cite: M. San Emeterio, L., González Pérez, J. A., Chen, J., Pérez Ramos, I., Domínguez, M. T., Kuzyakov, Y., and Gunina, A.: Mediterranean soils under climate change: a drying-rewetting experiment with 14C-labelled glucose, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8758, https://doi.org/10.5194/egusphere-egu22-8758, 2022.

EGU22-9758 | Presentations | SSS5.6

Identification of microbial methane sources and sinks in an aquifer-fed continental wetland with a multi-omics approach 

Sarah Coffinet, Alexis Dufresne, Achim Quaiser, Kai-Uwe Hinrichs, and Anniet Laverman

Vegetated continental wetlands are responsible for 20% of global methane emissions. Wetlands encompass very diverse ecosystems, from ponds to peatlands. In mid-latitudes, temporary flooded lowlands are very common, due to the seasonal discharge of water from rivers or groundwater but their contribution to the global methane budget is unknown. These sites experience temporal successions of oxic and anoxic conditions and the impact of these dynamic redox conditions on the microbial communities is poorly understood. In particular, methanogenesis typically requires anoxic conditions while aerobic methanotrophy can oxidize large amounts of methane before it reaches the atmosphere. This study is carried out at the Ploemeur-Guidel hydrogeological observatory, where a wetland is created by the seasonal discharge of deep anoxic and iron-rich groundwater. Four one-meter-long cores were recovered along a transect from the inner to the outer side of the wetland and samples were collected every 20 to 30 cm along each core. Batch incubations revealed two potential hotspots of methane production at ca. 40 cm and 100 cm depth, reaching up to 3.5 µmol cm-3 d-1, in agreement with highest methane concentrations measured in the porewater collected at these depths. To shed light on the microbial processes involved in the methane cycling at this site, a metagenomic and metatranscriptomic analysis was conducted in combination with the analysis of the carbon isotopic composition of microbial intact polar lipids. Preliminary results of the omics study showed clear taxon stratification with depth. The proportion of metagenomic reads classified to archaeal taxa increased with depth and reached up to 15% of the total analyzed reads at one meter below the surface. Interestingly, the percentage of reads affiliated to known methanogens was highest at the surface (ca. 40% of the archaeal reads) and decreased with depth (ca. 13% at 100 cm depth). Archaeal communities appeared to be dominated by Candidatus Bathyarchaeota since up to 60% of the archaeal reads could be classified to this phylum. Carbon isotopic composition of the phytane and biphytanes (BP) derived from the major archaeal membrane lipids (archaeols and glycerol dibiphytanyl glycerol tetraethers, GDGTs) displayed a predominant heterotrophic signature. However, BP-2, derived from GDGTs with multiple rings was systematically depleted in 13C, suggesting autotrophic and/or methanogenic metabolism. Further statistical treatments will be performed to refine the taxonomic links between the detected membrane lipids and the archaeal populations along the cores.

How to cite: Coffinet, S., Dufresne, A., Quaiser, A., Hinrichs, K.-U., and Laverman, A.: Identification of microbial methane sources and sinks in an aquifer-fed continental wetland with a multi-omics approach, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9758, https://doi.org/10.5194/egusphere-egu22-9758, 2022.

EGU22-9923 | Presentations | SSS5.6

130 Years of afforestation does not result in changes in soil organic carbon stocks in the Swiss Alps 

Tatjana Carina Speckert, Konstantin Gavazov, and Guido Lars Bruno Wiesenberg

In alpine areas of the European Alps, many of the pastures that are no longer economically profitable are being converted into forests (Bolli et al., 2007). Afforestation of former pasture has been acknowledged as a contribution to mitigate CO2 emissions by an increased storage of soil carbon in soil and biomass (Smal et al., 2019). So far, several studies indicated that afforestation of former pastures does not always lead to an increase or decrease of soil organic carbon stocks after 30 to 40 years of afforestation. The loss of soil organic carbon in the mineral soil, however, can be rebalanced by the increased accumulation of soil organic carbon in the organic forest floor (Thuille and Schulze, 2006). Nevertheless, studies concerning the changes as well as restoration of SOM following afforestation are limited.

In this study, we aimed to trace the source and transformation of SOM in a subalpine afforestation sequence (0-130 years) with Norway spruce (Picea abies L.) on a former pasture in Jaun, Switzerland. Soil and root samples were taken with volumetry cylinders to a depth of 45cm at 5cm increments. To trace the source and transformation of SOM, soil samples were analysed for plant-and microorganism-derived SOM by combining multiple compound classes as free extractable lipids, such as n-alkanes and free fatty acids.

Preliminary results show a higher (p<0.05) fine roots biomass in pasture (8.2±4.4gm-2) compared to forested areas. The highest (p=0.92) fine root biomass was observed in the youngest forest (40yr; 2.3±0.7gm-2), followed by the 130yr (0.7±0.2gm-2) and 55yr (0.6±0.2gm-2) old forest. Highest carbon stocks (14.0±0.8 kgm-2) were observed in the youngest forest followed by the 130yr (11.0±0.3 kgm-2) old and 55yr (9.6±1.1kgm-2) old forest. In summary, afforestation of former pasture (11.2±0.0 kgm-2) does not result in changes (p=0.37) in the total (0-45cm) organic carbon stock over a period of decades. However, there is a significant (p<0.001) higher C concentration in the organic forest floor in all forested areas compared to the mineral soil of both pasture and forest. To conclude, the change in the SOM sources and quality following afforestation may not lead to stock changes, but the stability of SOM might be modified by this change. The changes in SOM dynamics following afforestation are further analysed by the use of phospholipid fatty acids as well as free extractable fatty acids and alkanes to improve our understanding of aboveground and belowground litter incorporation and cycling.

References

Bolli, J. C., Rigling, A., and Bugmann, H. (2007). The influence of changes in climate and land-use on regeneration dynamics of Norway spruce at the treeline in the Swiss Alps. Silva Fennica, 41, 55.

Smal, H., Ligęza, S., Pranagal, J., Urban, D., and Pietruczyk-Popławska, D. (2019). Changes in the stocks of soil organic carbon, total nitrogen and phosphorus following afforestation of post-arable soils: A chronosequence study. Forest Ecology and Management, 451, 117536.

Thuille, A., and Schulze, E. D. (2006). Carbon dynamics in successional and afforested spruce stands in Thuringia and the Alps. Global Change Biology, 12, 325-342

How to cite: Speckert, T. C., Gavazov, K., and Wiesenberg, G. L. B.: 130 Years of afforestation does not result in changes in soil organic carbon stocks in the Swiss Alps, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9923, https://doi.org/10.5194/egusphere-egu22-9923, 2022.

EGU22-12315 | Presentations | SSS5.6

Monoculture vs intercropping under drought: functioning of microorganisms and the fate of maize and soybean 13C-labeled rhizodepositions 

Quan Zhou, Zhiming Guo, Yunxiao Hu, Bernard Ludwig, Yakov Kuzyakov, and Anna Gunina

Drought due to climate change will be more frequent and severe and expected to cause a loss of agricultural productivity in the next 30 years. Drought affects soil water availability, leading to several effects: reduction of crop growth, increases shoot/root ratio, decreases the uptake of nutrients by roots and translocation from roots to shoots, and availability of nutrients (N, P, S, Ca, Mg) in soil. The plant community regulates the composition and quantity of rhizodeposition, however, due to the impact of drought on plants functioning, allocation and fate of assimilated carbon (C) in the plant-soil-microorganisms system is changed.  Especially strong effects of drought on the functioning of soil microbial communities are seen in the crop monocultures, whereas the introduction of intercropping, especially with legumes, can potentially mitigate the drought impact. Thus, the present study aimed i) to trace the fate of rhizodeposits in the maize-soybean intercropping and compare with that in monoculture under drought vs optimal moisture conditions, ii) to reveal the differences in the rhizodeposits-C utilization by microorganisms under pulse water regime (wet to drought vs drought to rewetting).

The greenhouse experiment was conducted in June-August 2021. The soils were taken from the 10-old abandoned agricultural land in Witzenhausen, sieved through 4 mm, and 3 kg were placed into the incubation pots (15x15x20 cm). Maize (Zea mays L.) and soybean (Glycine max (L.) Merr.) were grown as monoculture (4 plants per pot) or intercropping (2+2 plants) until the vegetative stage (6-8 leaves), soil moisture was kept at 60% of WHC. Further, plants were divided into four treatments (each had four replicates), and each was labeled with K15NO3 and followed by 13C-CO2 (one day later). The treatments were: i) constant wet (60% of WHC), ii) constant drought (30% of WHC), iii) wet to drought (labeling was done under 60% of WHC and soil dried till 30% of WHC and further kept for 14d), and iv) drought to wet (labeling was done under 30% of WHC and soil was slowly rewetted to 60% of WHC and further kept for 14d). Subsamples of soils and plants aboveground biomass were done 4 times: i) 1 day after 13C-labeling, ii) after soil reached drought (30% of WHC) or 60% of WHC after rewetting, iii) in the middle of a drought or rewetting stage and iv) at the end of the experiment. Constant moisture and unlabelled treatments were sampled at the same time points; total and 13C/15N were analyzed in plant biomass, dissolved organic matter (DOM), microbial biomass, and soil; NO3- and NH4+ contents were measured in DOM extracts; additionally, activities of C, N, and phosphorus acquisition enzymes were measured. Thus, results from this experiment will shed light on the fate of rhizodeposits depending on the drought conditions and pulse water regime. The comparison of monoculture with intercropping will reveal how the presence of soybean can improve the nutrition of maize regarding N uptake, and whether microorganisms can be less affected by drought under intercropping.  

How to cite: Zhou, Q., Guo, Z., Hu, Y., Ludwig, B., Kuzyakov, Y., and Gunina, A.: Monoculture vs intercropping under drought: functioning of microorganisms and the fate of maize and soybean 13C-labeled rhizodepositions, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12315, https://doi.org/10.5194/egusphere-egu22-12315, 2022.

EGU22-12418 | Presentations | SSS5.6

Changes in soil organic matter after 5-year field experiment of rainfall exclusion and increased temperature in a Mediterranean savannah 

Layla M. San Emeterio, Ignacio Pérez Ramos, María Teresa Domínguez Núñez, and José Antonio González Pérez

Mediterranean savannahs (dehesas) are typical agro-sylvo-pastoral systems, characterized by the scattered presence of oak trees (Quercus ilex, Quercus suber), and the integration of livestock, forest, and agricultural practices. These Mediterranean ecosystems are subjected to a marked seasonality that imposes a sever summer drought after a favourable rainy autumn and spring, that is reflected in soil microbial dynamics. Under such conditions, the relative importance of a-biotic constraints such as temperature warming, irreversible dehydration favoured by intense solar radiation and drastic drying cycles, are important factors in soil organic matter (SOM) dynamics and the formation of stable forms in soil. The interplay of driving factors on the microbial dynamics - climate, vegetation and soil is key to understand biogeochemical cycles in Mediterranean forests that, in-turn is expected to be reflected in SOM structure.

In this communication analytical pyrolysis coupled with gas chromatography-mass spectrometry (Py-GC/MS) was used for the molecular characterization of SOM in a field manipulative experiment of rainfall exclusion and increased temperature aimed to evaluate the impact of forecasted warming and drying. The experimental trial is located in Sierra Morena (Pozoblanco, Córdoba, SW-Spain). Composite soil samples (0-10 cm) were taken from four forced climatic treatment plots: warming (W); drought (D); combination of both (W+D); untreated control (C). The plots were installed in 2016 under two distinct habitats: evergreen oak canopy (‘tree’) and in the open pasture (‘open’). Data presented correspond to sampling conducted in 2017 (a year after the installation of field trials) and five years later in 2021.

A total of 116 compounds were identified, and composition differences were detected between ‘tree’ and ‘open’ habitats both in 2017 and 2021, for the main compound classes: nitrogen compounds (N), aromatics (ARO), lignin methoxyphenols (LIG), isoprenoids (ISO), fatty acids (FA), lipids (LIP) and polysaccharide-derived (PS). Such chemical differences were found to be derived from the biomass composition of the predominant vegetation type incorporated into the soil. The FA and LIP (n-alkanes) were found most responsive to climatic treatments, showing less abundance under D and W plots. This trend is more pronounced in ‘open’ habitat and remains significant after 5 years of experiment. Moreover, the proportion between PS and LIG moieties increased over time especially in the ‘tree’ habitat, with a preferential degradation of PS due to increasing microbial activity. Finally, the proportion of ARO and short and mid-chain LIP increased during the trial, pointing to non-favourable SOM decomposition conditions.

Here, a short-term field experiment indicates that Mediterranean dehesa soils can buffer climate change effects over time. The results suggest that SOM molecular composition encompasses information on soil environmental shifts having biomarker value for monitoring climate change in Mediterranean soils. The technique can also help to monitor SOM turnover rates attending to the progressive transformation of different compound families.

Acknowledgement: EU-EJC 2nd Call Projects MIXROOT-C and MAXROOT-C. L.M. San Emeterio thanks Ministerio de Ciencia Innovación y Universidades (MICIU) FPI research grant (BES-2017-07968) for funding. A.M. Carmona, M.D. Hidalgo and P. Campos are acknowledged for technical assistance.

How to cite: M. San Emeterio, L., Pérez Ramos, I., Domínguez Núñez, M. T., and González Pérez, J. A.: Changes in soil organic matter after 5-year field experiment of rainfall exclusion and increased temperature in a Mediterranean savannah, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12418, https://doi.org/10.5194/egusphere-egu22-12418, 2022.

EGU22-12466 | Presentations | SSS5.6

New insights into Central European environmental changes during the last 2500 years by multi-proxy analysis of the undisturbed Beerberg peatland, Thuringia, Germany. 

Carrie L. Thomas, Mariusz Galka, Sambor Czerwiński, Klaus-Holger Knorr, Boris Jansen, and Guido L. B. Wiesenberg

Peatlands are an important ecosystem for many reasons, including their function as carbon sinks essential for mitigating climate change. Additionally, due to the anaerobic conditions in which peatlands form, decomposition of their constituent plant material is inhibited, making peatlands valuable archives for paleoenvironmental reconstructions. In this study, we examined a new 3.4 m core from the ombrotrophic Beerberg peatland located in the Vessertal-Thuringian Forest Biosphere Reserve in Germany. While paleo-archives at this peatland have been studied in the past (e.g., Jahn, 1930; Lange, 1967), we aim to apply newer techniques at a higher resolution to obtain more detailed results. Radiocarbon dating indicates that the core spans approximately the last 2500 years. Samples from the core were analyzed for pollen, macrofossils, and biomarkers, in particular, free extractable lipids including n-alkanes, n-alcohols, and n-fatty acids. These proxy data were used both to perform a vegetation reconstruction as well as to compare the results of the different proxies to each other to determine accuracy as well as create a more complete picture of the environment over time at the Beerberg peatland. The current dominant vegetation at the moor are Sphagnum mosses as well as Calluna vulgaris. Additionally, Eriophorum vaginatum, Empetrum nigrum, Oxycoccus palustris, and various Vaccinium species were abundant. Preliminary results from the macrofossil and pollen analyses indicate thatthrough time, the peatland has been primarily dominated by Sphagnum mosses, particularly Sphagnum fuscum. However, there are also conflicting results of when transitions to other dominant vegetation, such as Eriophorum vaginatum, occurred, as well as the contributions of species, such as Calluna vulgaris, over time. We aim to clarify these results through the addition of the biomarker analysis to develop a robust picture of evolution of vegetation during the Holocene at Beerberg peatland. Data from this study will also be used to improve a future iteration of the VERHIB (VEgetation Reconstruction with the Help of Inverse modeling and Biomarkers) model (Jansen et al., 2010).

References:

Jahn, R. (1930). Pollenanalytische Untersuchungen an Hochmooren des Thüringer Waldes. Forstwissenschaftliches Centralblatt, 52, 761-774.

Jansen, B., van Loon, E. E., Hooghiemstra, H., & Verstraten, J. M. (2010). Improved reconstruction of palaeo-environments through unravelling of preserved vegetation biomarker patterns. Palaeogeography, Palaeoclimatology, Palaeoecology285(1-2), 119-130.

Lange, E. (1967). Zur Vegetationsgeschichte des Beerberggebietes im Thüringer Wald. Feddes Repertorium, 76(3), 205-219.

 

 

How to cite: Thomas, C. L., Galka, M., Czerwiński, S., Knorr, K.-H., Jansen, B., and Wiesenberg, G. L. B.: New insights into Central European environmental changes during the last 2500 years by multi-proxy analysis of the undisturbed Beerberg peatland, Thuringia, Germany., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12466, https://doi.org/10.5194/egusphere-egu22-12466, 2022.

EGU22-12545 | Presentations | SSS5.6

Nitrogen deposition in subtropical forest: effect on temperature sensitivity of soil organic matter 

Zhiming Guo, Wei Qiang, Bernard Ludwig, Yakov Kuzyakov, and Anna Gunina

An increase of nitrogen (N) deposition is predicted in the next 10 years by 50%, compared to the values observed 20 years ago. This, together with the increase of atmospheric temperatures can change the soil organic matter (SOM) to either stronger mineralization or offset effects can be observed, depending on the ecosystem, and initial characteristics of the soils at the sites. Thus, this experiment aimed to reveal the effect of N deposition on the temperature sensitivity of SOM from the P limit subtropical evergreen forest ecosystem. Soils were collected at the Heshan (HS) National Field Research Station of Forest Ecosystem located in Guangdong province, where an experiment with a complete randomized block design of N deposition or control was established in 2018 (100 kg N ha−1 y−1, during 2.5 years). The soil (0-20 cm, four replicates for each treatment) was incubated at 3 temperatures of 15, 25, and 35 °C during 112 d at 60 % of WHC. During the incubation, soil CO2 efflux was constantly monitored, and three destructive samplings were done (at 10, 69 days, and at the end of the experiment). The soil was analyzed for the dissolved organic C, microbial biomass, available N pool, substrate use efficiency (with 14C-glucose), activities of C and P hydrolytic, and C oxidative enzymes, the content of microbial biomarkers, and functional gene abundances. The maximal mineralized SOC amount was found under 35 °C under N deposition and minimum at control 15 °C. The highest differences for the total CO2 efflux were observed between N deposited and control plots at 35 °C (1.3 times), and smallest at 15 °C (0.8 times). Q10 was higher for the temperature increase 15-25 °C (1.3 and 2.3 for the control and N, respectively) than for the 25-35 °C (1.16 and 1.6), and for the soil experienced N deposition. Microbial biomass was affected by both, N treatment and temperature. SUE was the highest at 15 °C in the middle of the incubation under N deposition, whereas no differences were found at the other sampling points or treatments. Activities of acid phosphatase decreased with the incubation for all temperatures, whereas b-glucosidase and xylanase had maximum in the middle of the incubation; all hydrolytic decreased activities by the end of the incubation under N treatment. Both oxidases were higher under N deposition than in control during the entire experiment, with the maximum found under 35 °C. Polyphenol oxidase activity increased at 35 °C with the incubation in both control and N deposition, however stayed constant for the other temperature treatments. In contrast, peroxidase activity was the same between the sampling times. Thus, the effect of N deposition on the activity of microbial biomass, expressed in SOM mineralization, appeared more clearly with the incubation temperature. Despite that, the complex of soil enzymes reacted differently to the studied impacts, with oxidative enzymes being more vulnerable than oxidative ones.

How to cite: Guo, Z., Qiang, W., Ludwig, B., Kuzyakov, Y., and Gunina, A.: Nitrogen deposition in subtropical forest: effect on temperature sensitivity of soil organic matter, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12545, https://doi.org/10.5194/egusphere-egu22-12545, 2022.

EGU22-13158 | Presentations | SSS5.6

Terrestrial carbon dynamics through time - insights from downcore radiocarbon dating 

Rienk Smittenberg, Valier Galy, Stefano Bernasconi, Merle Gierga, Axel Birkholz, Irena Hajdas, Lukas Wacker, Negar Haghipour, Camilo Ponton, and Timothy Eglinton

A relatively small change in the balance of in- and outgoing fluxes between terrestrial Carbon (Cterr) and the atmosphere, sustained over centuries to millennia can change Cterr from a carbon source to a sink. The net carbon balance of any ecosystem is mainly determined by climate (temperature, humidity, seasonality) via its influence on primary productivity, respiration and preservation, and by geomorphology (erosion). More recently, human perturbance has increasingly also become a major factor. In particular, the slow cycling component of Cterr, with turnover times of centuries to millennia, is relevant for the long-term carbon balance on land. Build-up of this carbon pool is inherently slow, but loss can be rapid and thereby form a significant carbon source to the atmosphere. One way to gain insight in the dynamics of this slow cycling carbon pool is to interrogate sedimentary records that, through time, have stored snapshots of terrestrial carbon, the latter being a mixture of pre-aged, long-stored Cterr and fresh material. By downcore measurements of the radiocarbon age of specific plant-derived organic compounds, interferences by aquatically produced organic carbon or petrogenic organic carbon can be circumvented, and insights can be gained into the carbon cycle processes in the corresponding catchment area. This study presents compound-specific 14C data compiled from studies over the last 20 years of sedimentary records derived from small lake catchments to deltaic and submarine fan deposits near large river mouths. The main conclusions that can be drawn are: 1) Modern but also (pre)historic human perturbance through land-use change has released long-stored ecosystem carbon that otherwise would have escaped mobilization. 2) Both positive and negative correlations between millennial-scale hydroclimate change and Cterr dynamics are evident, and are attributed to the opposing effects on primary productivity, respiration and erosion rates.  3). Catchment size and geomorphology also influence the extent of net ecosystem carbon storage. 4). The Younger Dryas cold period promoted release of Cterr built up during the preceding warm Bølling-Allerød period, illustrating the role rapid climate change can play in carbon dynamics.

How to cite: Smittenberg, R., Galy, V., Bernasconi, S., Gierga, M., Birkholz, A., Hajdas, I., Wacker, L., Haghipour, N., Ponton, C., and Eglinton, T.: Terrestrial carbon dynamics through time - insights from downcore radiocarbon dating, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13158, https://doi.org/10.5194/egusphere-egu22-13158, 2022.

The large difference in the degree of discrimination of stable carbon isotopes (δ13C) between C3 and C4 plants has been widely used to retrieve the palaeoenvironmental condition by analysing δ13C of bulk sedimentary organic matter (SOM). Underlying in these studies was the assumption that carbon retains the pristine signature of its photosynthetic pathway during later stages of decomposition in soil and sediments. However, there remains considerable uncertainty associated with studies of SOM, especially those from marginal marine environments. The probable presence of organic matter derived from varied sources, e.g., marine sources, terrestrial C3, and C4 plants make reconstruction of the paleo-environment difficult using δ13CSOM as a stand-alone tool. The sediments also undergo different stages of microbial decomposition, which can also alter the original organic carbon source signatures. Hence a robust method needs to be developed for identifying the specific phase that can withstand the alteration of the original δ13C of SOM. In the present study, we attempted to develop a simple means for identifying a robust oxidation-resistant organic carbon (OROC) phase for bulk isotopic analysis. The data along with the straight-chain n-alkane lipid compound were used to retrieve the Holocene (last 10 Kyr) paleo-environment from a sediment core raised from the Rann of Kachchh, western India. One purpose was to see if the climate had any role in the growth and collapse of an Indus Valley Civilisation (IVC) metropolis Dholavira, a UNESCO heritage site in the vicinity of the core location.

The sediment samples were chemically treated over different oxidation times (24 to 240 hours) following the commonly used dichromate oxidation method (0.1M K2Cr2O7/ 2M H2SO4, 60 ⁰C). No more oxidation loss was observed between pre-and post-treatment of SOM after 72 hours suggesting that the remaining organic carbon represents the most resistant phase. The isotopic composition (δ13COROC)would thus represent the original isotopic signature of the refractory organic carbon. In the specific sediment core, the δ13COROC values showed no significant difference from the δ13CSOM exhibiting a good down-depth correlation (R2 >0.8). The δ13C data of the core top sediment along with the modern plants in the Rann suggest that local vegetation dominantly controlled the organic matter composition. The efficacy of the method was also tested by analysing δ13COROC and δ13CSOM (δ13CSOM ranged from -18.2 ‰ to -20.6 ‰) in ten marine sediment samples from the northern Indian Ocean indicating preservation of marine organic matters after the oxidation experiment. The sediment core data suggest a mixture of terrestrial C3, C4, and marine organic matter throughout the Holocene period. A significant increase in the concentration of C4 photosynthesizing plant groups around 4.2 Kyr is observed and most likely is an expression of enhanced aridity due to the Meghalayan age drought that pervaded the Indian subcontinent and beyond. This is fascinating as the drought has earlier been linked to the collapse of the IVC based on other proxies.

How to cite: Ram, F., Thakkar, M., Chauhan, G., Bhusan, R., Juyal, N., and Sarkar, A.: Carbon isotope and organic geochemistry of the Holocene sediments from Rann of Kachchh: implications to the preservation of organic matter and climate during the Indus Valley Civilisation, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-555, https://doi.org/10.5194/egusphere-egu22-555, 2022.

EGU22-1056 | Presentations | BG2.1

Thallium and lead variations in a contaminated peatland: An isotopic study from a mining/smelting area 

Ales Vanek, Katerina Vejvodova, Martin Mihaljevic, Vojtech Ettler, Vit Penizek, Jakub Trubac, Katarzyna Sutkowska, Leslaw Teper, Viktor Golias, and Maria Vankova

Vertical profiles of Tl, Pb and Zn concentrations and Tl and Pb isotopic ratios in a contaminated peatland/fen (Wolbrom, Poland) were studied to address questions regarding (i) potential long-term immobility of Tl in a peat profile, and (ii) a possible link in Tl isotopic signatures between a Tl source and a peat sample. Both prerequisites are required for using peatlands as archives of atmospheric Tl deposition and Tl isotopic ratios as a source proxy. We demonstrate that Tl is an immobile element in peat with a conservative pattern synonymous to that of Pb, and in contrast to Zn. However, the peat Tl record was more affected by geogenic source(s), as inferred from the calculated element enrichments. The finding further implies that Tl was largely absent from the pre-industrial emissions (>~250 years BP). The measured variations in Tl isotopic ratios in respective peat samples suggest a consistency with anthropogenic Tl (ε205Tl between ~ -3 and −4), as well as with background Tl isotopic values in the study area (ε205Tl between ~0 and −1), in line with detected 206Pb/207Pb ratios (1.16–1.19). Therefore, we propose that peatlands can be used for monitoring trends in Tl deposition and that Tl isotopic ratios can serve to distinguish its origin(s). However, given that the studied fen has a particularly complicated geochemistry (attributed to significant environmental changes in its history), it seems that ombrotrophic peatlands could be better suited for this type of Tl research.

How to cite: Vanek, A., Vejvodova, K., Mihaljevic, M., Ettler, V., Penizek, V., Trubac, J., Sutkowska, K., Teper, L., Golias, V., and Vankova, M.: Thallium and lead variations in a contaminated peatland: An isotopic study from a mining/smelting area, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1056, https://doi.org/10.5194/egusphere-egu22-1056, 2022.

EGU22-2352 | Presentations | BG2.1

Tracing N2O formation in full-scale wastewater treatment with natural abundance isotopes 

Joachim Mohn, Wenzel Gruber, Paul Magyar, Kerstin Zeyer, Luzia von Känel, Eberhard Morgenroth, Moritz F. Lehmann, Daniel Braun, and Adriano Joss

Nitrous oxide (N2O) dominates greenhouse gas emissions in wastewater treatment plants (WWTPs). Formation of N2O occurs during biological nitrogen removal, involves multiple microbial pathways, and is typically very dynamic. Consequently, N2O mitigation strategies require an improved understanding of nitrogen transformation pathways and their modulating controls. Analyses of the nitrogen (N) and oxygen (O) isotopic composition of N2O and its substrates at natural abundance have been shown to provide valuable information on formation and reduction pathways in laboratory settings, but have never been applied to full-scale WWTPs.

Here we show that N-species isotope ratio measurements at natural abundance level, combined with long-term N2O monitoring, allow identification of the N2O production pathways in a full-scale plug-flow WWTP (Hofen, Switzerland). The proposed approach can also be applied to other activated sludge systems. Heterotrophic denitrification appears as the main N2O production pathway under all tested process conditions, while nitrifier denitrification was less important, and more variable. N2O production by hydroxylamine oxidation was not observed. Fractional N2O elimination by reduction to dinitrogen (N2) during anoxic conditions was clearly indicated by a concomitant increase in SP, δ18O(N2O) and δ15N(N2O). The extent of N2O reduction correlated with the availability of dissolved inorganic N and organic substrates, which explains the link between diurnal N2O emission dynamics and organic substrate fluctuations. Consequently, dosing ammonium-rich reject water under low-organic-substrate conditions is unfavourable, as it is very likely to cause high net N2O emissions.

Our results demonstrate that monitoring of the N2O isotopic composition holds a high potential to disentangle N2O formation mechanisms in engineered systems, such as full-scale WWTP. Our study serves as a starting point for advanced campaigns in the future combining isotopic technologies in WWTP with complementary approaches, such as mathematical modelling of N2O formation or microbial assays to develop efficient N2O mitigation strategies.

How to cite: Mohn, J., Gruber, W., Magyar, P., Zeyer, K., von Känel, L., Morgenroth, E., Lehmann, M. F., Braun, D., and Joss, A.: Tracing N2O formation in full-scale wastewater treatment with natural abundance isotopes, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2352, https://doi.org/10.5194/egusphere-egu22-2352, 2022.

EGU22-2569 | Presentations | BG2.1

Ab initio calculations of the isotopic effects of sulfate and Mg impurities in carbonate minerals 

Chirantan Pramanik and Itay Halevy

Impurities in CaCO3 minerals, present as ion substitutions (e.g., Mg2+ for Ca2+, SO42- for CO32-), are common and known to affect the fractionation of isotopes between the mineral and its parent fluid (e.g., the carbonate–water O isotope fractionation, the CAS–SO42- S isotope fractionation). The difficulty in achieving isotopic equilibrium during experimental precipitation of carbonate minerals motivates the calculation of such effects by ab initio DFT methods. However, even a single substitution in a model lattice composed of as many atoms as computationally possible results in impurity concentrations that are much higher than those typical of most natural and experimental samples. For example, calculations of the CAS–SO42- S isotope fractionation were performed at CAS concentrations of 59,000 and 30,000 ppm in calcite and aragonite, respectively, ∼threefold higher than the highest natural concentrations. The calculations yielded a CAS–SO42- S isotope fractionation of 3.6 and 4.5‰ in calcite and aragonite (at 25°C), respectively, at odds with experimental values of ∼1‰ at the highest CAS concentrations in both calcite and aragonite. It is unknown whether the disagreement arises from the much higher CAS concentration in the calculations than in the experiments.

To overcome these computational limitations, we developed an approach in which the fractionation in the computationally largest possible “doped” model lattice is combined with the fractionation in a “pure” lattice. Using this approach, we determined the dependence of mineral–solution isotopic fractionation on the concentration of SO42- and Mg2+ impurities in CaCO3. The doped and pure lattices were modeled using ab initio methods implemented in the PWscf code of the Quantum ESPRESSO package, using periodic boundary conditions and the PBE exchange-correlation functional. Trigonal calcite and orthorhombic aragonite unit cells were used to form supercells of various dimensions containing 10 to 540 atoms. The ionic cores were described by ultrasoft pseudopotential and the Brillouin zone sampling was restricted to a single k-point for large supercells. Doped supercells contained a single SO42- or Mg2+, and pure cells contained none. We calculated the defect formation energies and observed that the spurious effect from the impurities in imaginary supercells is minimized for a supercell size of ∼40 atoms or more. Phonon frequencies were calculated for various isotopic combinations using the PHonon code, and the frequencies were used to calculate the isotopic fractionation using the reduced partition function theory. The dependence of the bulk mineral–solution isotopic fractionation on the impurity concentration was then calculated as a weighted average of a single doped supercell and an arbitrary number of pure supercells. We will present the impurity dependence of the mineral–solution fractionation of O, C, Ca, Mg, and S isotopes and the carbonate clumped isotope composition of the CaCO3, and compare to observations, where available. We suggest that a similar approach can be used to study the effect of any impurity, at an arbitrary concentration, on any isotopic system, in any mineral.

How to cite: Pramanik, C. and Halevy, I.: Ab initio calculations of the isotopic effects of sulfate and Mg impurities in carbonate minerals, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2569, https://doi.org/10.5194/egusphere-egu22-2569, 2022.

EGU22-3715 | Presentations | BG2.1

Isotope hydrogeochemistry investigations (223,224Ra, DI13C) on submarine groundwater discharge in a tidal bay (eastern North Sea) 

Catia Milene Ehlert von Ahn, Anna-Kathrina Jenner, Jan Scholten, Antonia Schell, Iris Schmiedinger, Jasper Hoffmann, Patricia Roeser, Carla Nantke, and Michael Böttcher

The impact of submarine groundwater discharge (SGD) on coastal biogeochemistry is currently under intense investigation. SGD can impact diagenesis and in general act as a potential source of elements, especially dissolved carbon, to coastal surface waters. However, qualitative and quantitative assessments of SGD are challenging since it requires the identification of suitable geochemical tracers for the complex hydrological and biogeochemical processes in the subterranean estuary. In this communication, we report on combined investigations carried out in Königshafen Bay (North Frisian island Sylt, Germany), a tidal area in the eastern North Sea. Sampling encompassed vertical porewater gradients, and surface waters collected through transects in the bay, and in tidal cycles at the outlet of the bay. Potential surface and subterrestrial freshwater endmembers are used to assess the results. Besides major and minor elements, this study focuses on the stable carbon isotope composition of dissolved inorganic carbon (DIC) and the activity of radium (Ra) isotopes. Our main aim is to characterize the interaction between diagenesis and the composition of SGD, as well as the resulting impact on the carbon system of the water column, and, via tidal exchange extended to the coastal North Sea. Porewaters showed usually an increase of isotopically light DIC with depth and a freshening already in the top 50 cmbsf at some sites. This indicates that both, carbon diagenesis and mixing of seawater with fresh groundwaters at depth impact the distribution of DIC. The activities of the short-living Ra isotope (224Raex) were higher in the bay compared to the open North Sea. Porewater activities were up to 30 times higher than in the bay’s surface waters with a maximum development at intermediate salinities. In the water column at the outlet of the bay, 224Raex and 223Ra showed maximum activities during low tide as a consequence of the highest contribution of waters in contact with the sediments of the bay. Moreover, due to the high hydraulic gradient developed during low tide more contribution from potential endmembers enriched in Ra can be expected. Further work is on the way to quantify the impact of SGD on the tidal basin and the indirect role for the North Sea carbon system on different temporal and spatial scales.

 The investigations are supported by the DFG-project KiSNet, the BMBF project COOLSTYLE (CARBOSTORE), the DAAD, the DFG RTG Baltic TRANSCOAST, and the Leibniz IOW.

How to cite: Ehlert von Ahn, C. M., Jenner, A.-K., Scholten, J., Schell, A., Schmiedinger, I., Hoffmann, J., Roeser, P., Nantke, C., and Böttcher, M.: Isotope hydrogeochemistry investigations (223,224Ra, DI13C) on submarine groundwater discharge in a tidal bay (eastern North Sea), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3715, https://doi.org/10.5194/egusphere-egu22-3715, 2022.

EGU22-4462 | Presentations | BG2.1

The key controls of thallium isotopic fractionation in soil 

Kateřina Vejvodová, Aleš Vaněk, Martin Mihaljevič, Vojtěch Ettler, Jakub Trubač, Maria Vaňková, Petr Drahota, Petra Vokurková, Vít Penížek, Tereza Zádorová, Václav Tejnecký, Lenka Pavlů, and Ondřej Drábek

The purpose of this study was to investigate the key geochemical and mineralogical factors that could affect the fractionation of stable thallium (Tl) isotopes in soil. A set of grassland soil samples enriched in geogenic Tl in combination with selected Tl-containing mineral materials from the Czech Republic (Kluky) were investigated for this purpose. A combination of X-ray diffraction analysis (XRD), chemical extractions and stable isotope analysis were used to understand the behaviour of Tl and its isotope systematics within the soil profile. The results demonstrate significant incorporation of Tl in pedogenic Mn-oxide, which led to a large accumulation of the heavy 205Tl isotope (~+14 ε205Tl units), presumably resulting from continuous redox reactions with Mn-oxides and systematic accumulation of heavy isotope fraction onto the oxide surface(s). Consequently, we concluded that the Mn-oxide-controlled Tl uptake is the primary cause of the observed 205Tl enrichment in the middle profile zone, at the A/B soil horizon interface, with up to +4 of ε205Tl. Furthermore, our results displayed a clear relationship between the Tl isotopic fractionation degree and the Mn-oxide soil concentration (R2 = 0.6), as derived from the oxalate-extractable data. A combination of soil and mineralogical considerations suggests that 205Tl enrichment in the soil samples is also partly due to the Tl present in micaceous clay minerals, mainly illite, which is the predominant pedogenic Tl host phase. Supported by our previous results, this Tl behaviour can be inferred from systematic Mn-oxide degradation and the associated Tl (enriched in 205Tl) cycling in the studied soils and therefore, presumably in the redoximorphic soils in general.

How to cite: Vejvodová, K., Vaněk, A., Mihaljevič, M., Ettler, V., Trubač, J., Vaňková, M., Drahota, P., Vokurková, P., Penížek, V., Zádorová, T., Tejnecký, V., Pavlů, L., and Drábek, O.: The key controls of thallium isotopic fractionation in soil, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4462, https://doi.org/10.5194/egusphere-egu22-4462, 2022.

EGU22-4830 | Presentations | BG2.1

Variation of stable carbon and nitrogen isotopes composition of plants and sediments along pH gradient of soft-water lakes in Poland 

Eugeniusz Pronin, Krzysztof Banaś, Rafał Chmara, Rafał Ronowski, Marek Merdalski, Józef Szmeja, Anne-Lise Santoni, and Olivier Mathieu

The soft-water lake vegetation is sensitive to changes in water quality, especially pH and nutrient concentration. Furthermore, little is known about the biogeochemistry of those types of water bodies. Therefore, to recognize the relationship between the aquatic plants and the co-created sediments, we applied in our study the analysis of stable carbon and nitrogen isotopic composition (δ13C and δ15N) of organic matter of ten characteristic plants for soft-water lakes and sediments on which they have grown. We investigated physicochemical parameters of two types of water: one from the immediate surroundings of plants and the second type collected just above or directly from sediment (if they were more organic and looser). In the middle of the vegetation season (June 2020), the studies were performed on 14 soft-water lakes along a pH gradient (from 4.78 to 9.21). We found a high positive relationship between δ13C values of plants and sediments (Spearman rank correlations r= 0.69; N=85) and moderate positive relationships between δ15N values of plants and sediments (r= 0.31; N=85). Both for δ13C and δ15N, the variability of plants isotopic values was higher in plants organic matter than in sediments (for plants; δ13C from -33.76‰ to -9.93‰ and δ15N from -5.49‰ to 5.95‰; for sediments δ13C from -30.13‰ to -13.60‰ and δ15N from -2.92‰ to 4.82‰). In the case of Lobelia dortmanna, Fontinalis antipyretica, Luronium natans and Isoëtes lacustris δ13C values were higher in organic matter of the sediments than in investigated aquatic plants. On the other hand, especially samples for Elodea canadensis and Myriophyllum alterniflorum had opposite patterns, where values of δ13C were much higher in plants. The δ15N values of plants were lower than those reported for the deposits, and this pattern was more constant, with two exceptions recorded for Luronium natans and Chara globularis. Comparing the physicochemical parameters of surrounding and sediments waters, we found only high differences in total nitrogen concentration (TN) where higher concentration was reported in sediment water. In addition, the distribution of environmental variables for both water from anong plants and sedimentary water (Principal Components Analyzes - PCA's) indicates a higher relationship between the values of δ13C and δ15N of plant and sediments organic matter and the TN concentration in the sediment water. Moreover, the results of PCA for both waters types showed some relationship of δ13C of plants and sediments with pH, conductivity and Ca2+ concentration, which were more evident for sediment water. Founded here, strong relationships between plants and sediments δ13C values might confirm that in the cases of most investigated plants, they highly participate in sediment creation in those low-productive soft-water lakes. However, this assumption is less established when we focus on δ15N results. Moreover, both δ13C and δ15N of plants organic matter varied more than sediments, suggesting that allochthonous materials are also engaged in sediments creations. The further species-specific analysis is needed to better explain the present trends and relationships.

The studies were financed by Polish National Science Centre, under project No 2019/32/C/NZ8/00147.

How to cite: Pronin, E., Banaś, K., Chmara, R., Ronowski, R., Merdalski, M., Szmeja, J., Santoni, A.-L., and Mathieu, O.: Variation of stable carbon and nitrogen isotopes composition of plants and sediments along pH gradient of soft-water lakes in Poland, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4830, https://doi.org/10.5194/egusphere-egu22-4830, 2022.

EGU22-5359 | Presentations | BG2.1

Hydrology and -chemistry of a tidal basin (Königshafen, North Sea): A water isotope perspective 

Michael E. Böttcher, Anna-Kathrina Jenner, Carla Nantke, Cátia Milene E. von Ahn, Iris Schmiedinger, Antonia Schell, Roeser Patricia, Ramona Riedel, Sebastian Janßen, Benjamin S. Gilfedder, and Nils Moosdorf

The role that of fresh surface and ground water sources play on the coastal water balance, element balances, and the associated biogeochemical processes is currently a matter of intense debate and investigation. The measures of fresh and saline water mixing in coastal areas have been found to be challenging, however stable water isotopes (O-16, O-17, O-18), in combination with further hydrochemical tracers, provide a valuable tool to identify different sources, that are furthermore linked to different biogeochemical processes, e.g. impacting the benthic and pelagic carbon cycle.

In the present communication, we report on combined investigations in pore and surface waters of Königshafen Bay (North Frisian island Sylt, Germany), a tidal area in the eastern North Sea. In addition, tidal cycles at the outlet of the bay were sampled. Results are compared to potential surface and subterrestrial fresh water endmembers, open North Sea, submarine groundwater discharge in the backbarrier tidal area of Spiekeroog, as well as the Elbe river estuary. Besides dissolved major and minor elements, the stable water isotope composition is used to characterize the temporal and spatial distribution of different water sources to the bay and the seasonal dynamics in the water column. Porewater gradients indicate different degrees of freshening, locally already in the top 50 cm below the seafloor with spatial heterogeneity. Different fresh water endmembers are indicated both by the water isotope and hydrochemical signatures. It turns that at least two fresh water sources can be identified for sediments under SGD impact, that differ in composition from surface water sources draining into the southern North Sea. Further work is on the way to investigate the dynamics in the (sub)surface fresh water sources for the tidal basin and the link to other geochemical tracers, as well as the coupling to the dissolved carbon system on different temporal and spatial scales.

  

The investigations are supported by the DFG-project KiSNet, the BMBF project COOLSTYLE (CARBOSTORE), the DAAD, the DFG project Baltic Transcoast, and Leibniz IOW.

How to cite: Böttcher, M. E., Jenner, A.-K., Nantke, C., von Ahn, C. M. E., Schmiedinger, I., Schell, A., Patricia, R., Riedel, R., Janßen, S., Gilfedder, B. S., and Moosdorf, N.: Hydrology and -chemistry of a tidal basin (Königshafen, North Sea): A water isotope perspective, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5359, https://doi.org/10.5194/egusphere-egu22-5359, 2022.

EGU22-5442 | Presentations | BG2.1

Hydrogen isotopes in assimilates and cellulose, but not in n-alkanes, integrate signals of the plant primary carbon metabolism 

Marco M. Lehmann, Philipp Schuler, Marc-André Cormier, Shiva Ghiasi, Roland A. Werner, Matthias Saurer, and Guido Wiesenberg

Recent studies suggest that isotope ratios of the carbon-bound non-exchangeable hydrogen (δ2H) in plant cellulose and lipids can indicate changes in the primary carbon and energy metabolism; however, systematic investigations are scarce.

Here, we studied δ2H patterns in two different tobacco (N. sylvestris) model systems, where severe changes in the plant primary metabolism were known: 1) along a nitrogen (N) supply gradient and 2) in a starch-less knockout mutant (pgm). Specifically, we measured δ2H of water, bulk soluble sugars, transitory starch, and cellulose in leaves and roots, using a novel hot water vapor equilibration method and TC/EA-IRMS. Besides, we measured δ2H values of leaf n-alkanes with GC-IRMS.

We observed clear δ2H differences in sugars and starch along the N gradient and a 2H-enrichment of both assimilates in pgm compared to a wild type control. The photosynthetic 2H-fractionation between leaf water and sugars/starch reached a maximum of ca. 100‰ in both model systems and was related to changes in concentrations of primary metabolites (e.g. sugars, starch, organic and amino acids), enzymatic activities, gas-exchange, and growth. The signal of the primary carbon metabolism was also visible in δ2H of leaf and root cellulose in both system, but dampened compared to those of sugars and starch. In contrast, the signal was absent in leaf n-alkanes in both systems.

Our results provide the first direct evidence that changes in the primary leaf carbon metabolism are imprinted on δ2H of plant carbohydrates in leaf and roots. The metabolic signal might therefore be reconstructed from plant material of important paleo archives (e.g. tree-ring cellulose, lake sediments) and help to better understand plant-climate interactions. The absence of the signal in δ2H of leaf n-alkanes is surprising and suggests a strong difference in metabolic fluxes between carbohydrates and lipids. Yet, this observation may help to further disentangle the processes shaping hydrogen isotopes in plants.

How to cite: Lehmann, M. M., Schuler, P., Cormier, M.-A., Ghiasi, S., Werner, R. A., Saurer, M., and Wiesenberg, G.: Hydrogen isotopes in assimilates and cellulose, but not in n-alkanes, integrate signals of the plant primary carbon metabolism, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5442, https://doi.org/10.5194/egusphere-egu22-5442, 2022.

EGU22-6485 | Presentations | BG2.1

Source-tracking metal contamination using Cu isotopes in two tributaries in the Great Lakes region 

Tassiane Junqueira, Kaj Sullivan, Anna Harrison, and Bas Vriens

The Great Lakes basin is one of the world’s most important freshwater resources, critical not only to public water supply but also for agriculture, transportation, hydroelectric power, and as an ecosystem. Anthropogenic contamination in all Great Lakes has been causally linked to ecosystem deterioration since the start of the industrial revolution, and it has been pervasive and cumulative. A major anthropogenic contaminant in the Great Lakes is copper [(Cu): a trace metal that has been a concern for decades. Point-sources for Cu include industrial activities such as metal mining, smelting, and chemical industries. However, Cu is also introduced to surface waters from diffuse sources, such as fertilizer application or urban runoff, as well as by atmospheric deposition and natural weathering processes. The importance of these geogenic versus anthropogenic sources is spatiotemporally variable and there are a multitude of sources and processes controlling the environmental fate of Cu in the Great Lakes region that remain poorly quantified (Bentley et al., 2022). Nontraditional stable isotopes have proven useful as environmental tracers for metal contaminants in human-impacted areas and served as an excellent tool to quantify a variety of biogeochemical processes (i.e., adsorption to mineral and organic surfaces, biological uptake). To understand the impacts of anthropogenic activities on Cu concentrations in the environment, background Cu isotope compositions of relatively pristine environments must first be determined. However, Cu isotopic analyses of baseline conditions in the Great Lakes are extremely scarce. In this work, we explore the use of Cu isotope analyses to quantify the baselines and sources of Cu in two tributaries in the Great Lakes. Surface water samples were collected from 44 locations along the Spanish River (Lake Huron) and Trent River (Lake Ontario) in August 2021, together with samples of probable endmember phases that include (agricultural) soils, municipal wastewater effluents and mine waste materials in the respective catchments. Water quality in the studied catchments was variable (6.6 < pH < 9.1; 58.7 mg/L < alkalinity < 216.7 mg/L), with recorded Cu concentrations in the river water samples ranging between 0.79 to 4.88 ng/ml, tending towards higher concentrations upstream compared to downstream, and presenting peaks in specific locations, suggesting anomalous Cu input in these areas. δ65Cu in the rivers analyzed (−1.02 to 0.09‰) present values above the natural average of upper continental crust (0.07 ± 0.10‰) and uncontaminated sedimentary materials from estuaries (−0.04 ± 0.18‰), revealing distinct mixing of two or more sources (including geogenic, mine waste and agriculture fertilizers). We contextualize the Cu compositions observed in surface water samples to those in endmember materials with mixing models and geospatial analysis of the catchments to quantify possible sources. Our results may help distinguish historic versus new contaminant sources and geogenic versus anthropogenic contributions, as well as major pathways by which metals are loaded into the Great Lakes, besides facilitating the protection of this critical freshwater resource from legacy and emerging metal pollution.

How to cite: Junqueira, T., Sullivan, K., Harrison, A., and Vriens, B.: Source-tracking metal contamination using Cu isotopes in two tributaries in the Great Lakes region, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6485, https://doi.org/10.5194/egusphere-egu22-6485, 2022.

EGU22-7528 | Presentations | BG2.1

Insights into sulfate sources and water availability in the Atacama Desert through triple oxygen, strontium, and sulfur isotopes 

Swea Klipsch, Daniel Herwartz, Claudia Voigt, Carsten Münker, Guillermo Chong, Michael Ernst Böttcher, and Michael Staubwasser

Calcium sulfates are the dominating salts but the respective sulfate sources are debated. In order to quantify the relative contribution and spatial distribution of sulfate sources and to identify biological sulfate recycling processes, we analyzed δ18OSO4, Δ17OSO4, 87Sr/86Sr, and δ34SSO4 of sulfate from Atacama Desert soils (Chile). Surface samples were taken along four W-E transects from the Pacific coast to the Pre-Andean Cordillera between 19.5°S and 25°S. Additionally, lacustrine gypsum and sulfate extracted from groundwater feeding the Salar de Llamará and sodium sulfates from the Salar del Huasco were analyzed.

Sulfur from the ocean comprise high δ34SSO4 values compared with low δ34SSO4 volcanic sulfate allowing to estimate the marine sulfur contribution to the total sulfate sample. δ34SSO4 decreases with distance from the coast principally confirming previously published results [1]. Because Sr substitutes for Ca in Ca-Sulfates, 87Sr/86Sr follows similar systematics, at least for samples taken within the coastal fog zone (<1200 m).  However, δ34SSO4 and 87Sr/86Sr of samples taken above 1200 m are decoupled indicating sulfate dissolution and re-precipitation or deposition of supra-regional Ca-rich aerosols with high 87Sr/86Sr values.

Positive ∆17OSO4 values observed in all analyzed samples (0.1‰ to 1.1‰) suggest a significant contribution from secondary atmospheric sulfate (SAS) to Atacama Desert soils. Distinct mass-independent 17O anomalies of SAS originate from atmospheric oxidation of reduced sulfur species from volcanic or anthropogenic emissions, or biogenic sulfur gases such as dimethyl sulfide (DMS) by O3 or H2O2. Within our dataset we can distinguish between a SAS(DMS) endmember, comprising high ∆17OSO4 and δ34SSO4 and a SASAtacama endmember comprising moderate Δ17OSO4 and low δ34SSO4. Highest Δ17OSO4 values, interpreted to represent a pure SASAtacama endmember, are observed in samples from the Coastal Cordillera of the southernmost transect which is generally higher than the present maximum level of fog advection (1200 m). Lowering of Δ17OSO4 values results from 1) dilution of the positive Δ17OSO4 fromSAS by marine and/or terrestrial sulfate with Δ17OSO4 ≈ 0‰, and 2) resetting of Δ17OSO4 due to biological sulfate reduction and reoxidation. Lowest Δ17OSO4 values are observed in sulfates from salars and soils from alluvial fans.

In general, Δ17OSO4 andδ18OSO4 of our data show an inverse relationship reflecting not only the source contributions but also biological sulfate cycling. Thus, large Δ17OSO4 anomalies (≈1‰) that suggest a dominant contribution from SASAtacama, also indicate the relative absence of biologically processed sulfate and thus, low water availability.

[1] Rech et al. (2003), Geochim. Cosmochim. Acta 67, 575-586

How to cite: Klipsch, S., Herwartz, D., Voigt, C., Münker, C., Chong, G., Böttcher, M. E., and Staubwasser, M.: Insights into sulfate sources and water availability in the Atacama Desert through triple oxygen, strontium, and sulfur isotopes, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7528, https://doi.org/10.5194/egusphere-egu22-7528, 2022.

EGU22-8197 | Presentations | BG2.1

An offline sample preparation system and water exchange reaction method for the measurement of δ2H of non-exchangeable hydrogen in organic matter 

Cristian Gudasz, Jonas Lundholm, Erik Geibrink, Mats Öquist, and Jan Karlsson

The measurement of δ2H of non-exchangeable-H (δ2Hn) in organic matter (OM) by isotope-ratio mass spectrometry is often hampered by the difficulties in controlling H isotope exchange of the exchangeable H fraction (fex) and removal of residual moisture. The determination of δ2Hin organic matter requires control of the isotopic composition of fex. This can be achieved through dual water H isotope exchange experiments. However, these experiments are laborious, sensitive to the method used (e.g. prior sample treatment, temperature, time) and are costly. This has resulted in a wide range of reported fex for known isotopic references. Moreover, it is not always clear that samples are completely dry following the H exchange experiments, leading to even larger variations. The δ2Hdata is typically used in ecological studies for source attribution due to the large observed separation between contributing end members. However, it is not clear to what degree the analytical errors in δ2H determined by incomplete H isotope exchange of fex and the residual moisture impact the source attribution. Here we developed a simple offline sample preparation system, the Isobox, and a protocol for the measurement of δ2Hin natural OM as well as pure organic compounds. We performed dual water H isotopic exchange experiments with both liquid and vapor water at near 0 and 105°C respectively. We analyzed three keratin reference materials (KHS, CBS and USGS42), two amino acids (Isoleucine and Threonine), along with caffeine (USGS62) and polyethylene (IAEA-CH-7) as drying references. We have also used natural samples of demineralized soil and green algae to create known mixtures to test these methods and their analytical uncertainty impact on the source attribution. We show that the liquid water exchange experiments led to fex close to the theoretical expectations for both keratin and pure compounds. Depending on the research question careful determination with controlled dual water procedure for the determination of δ2Hmay be required. However, simple sample treatment with exposure to a single isotopically known water can be used to derive δ2H for source attribution. The offline sample preparation system and equilibration method we developed is simple, accurate and cost effective and can be implemented in virtually any laboratory for the analysis of a wider range of OM types.

How to cite: Gudasz, C., Lundholm, J., Geibrink, E., Öquist, M., and Karlsson, J.: An offline sample preparation system and water exchange reaction method for the measurement of δ2H of non-exchangeable hydrogen in organic matter, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8197, https://doi.org/10.5194/egusphere-egu22-8197, 2022.

EGU22-8563 | Presentations | BG2.1

Sulfur isotope compositions in the weathering profile of magmatic Ni-Cu deposits in SW Australia 

Kaj Sullivan, Justin Drummond, Paul Polito, Amanda Stoltze, and Matthew I. Leybourne

The Nova-Bollinger Ni-Cu sulfide ore deposit is hosted in layered mafic and ultramafic intrusive rocks of the Mesoproterozoic Albany-Fraser zone, located about 160 km east-northeast of Norseman, Western Australia. Nova and Bollinger are two adjacent but spatially distinct orebodies with a combined pre-mining resource estimate of 13.1 million tonnes (Mt) with about 2 % Ni, 0.8 % Cu, and 0.1 % Co (IGO Ltd., unpublished data, 2018) 1. Significant challenges are posed in exploring for magmatic Ni-Cu deposits that are buried under post-mineral cover. For example, electromagnetic and gravity surveys identify numerous targets but are unable to distinguish economic mineralization. Previously, it was suggested that the regular pattern of S isotope compositions (δ34SCDT) of surficial sulfate in lakes and groundwaters in southern Australia provides an ideal baseline against which to search for anomalous δ34SCDT values associated with base-metal or gold mineralization 2. In the absence of lakes and readily accessible groundwaters in prospective areas, soils and rocks make a convenient sampling medium. Here, we investigated the exploration potential of δ34SCDT of the trace sulfur content of unconsolidated surface sediments, saprolite, and bedrock samples above Nova and two nearby sub-economic prospects, Griffin and Chimera. The δ34SCDT values likely reflect a two end-member system, with values ranging from -5.8 at depth to 21.4 ‰ near the surface, showing little dependence on lithology. Values in samples closer to the surface are similar to modern seawater sulfate that has a globally homogenous δ34SCDT value of 21.0 ± 0.2 ‰ 3, whereas at depth, values approach typical mantle S isotopic compositions of 0 ± 2 ‰ 4. In support of this, rocks at Nova have a δ34SCDT of around 0 ‰ and regional metagabbro are between -2 and 4 ‰ 5. On a regional scale, in both Western Australia (Yilgarn Block) and South Australia, the δ34SCDT values of surficial gypsum have a regular pattern over distances of up to 1000 km, with the highest values (~ 21 ‰) near coastlines decreasing to δ34SCDT values of ~ 14 ‰ further inland 2. This is suggested to be predominantly the result of the delivery of salts to the Australian landscape as aerosols, with volatile biogenic S compounds of mostly marine origin (δ34SCDT of ~ 1 ‰) that proportionately increase in importance further inland resulting in decreasing  δ34SCDT values 2. Located approximately 200 km inland, δ34SCDT results in samples within 10 metres of the surface at Nova, Griffin, and Chimera are in agreement with this and range from 12.6 to 20.4 ‰. Given that near-surface δ34SCDT values above Nova, Griffin, and Chimera appear to be mostly related to seawater-derived sulfate with minimal magmatic influence, δ34SCDT shows little potential as a field sampling technique to vector for deposits buried under post-mineral cover. However, at depth, δ34SCDT shows a clear relationship between the mixing of seawater sulfate and magmatic S weathering into the environment, indicating that analysis of S isotopes of otherwise apparently barren cores has utility in mineral exploration.

How to cite: Sullivan, K., Drummond, J., Polito, P., Stoltze, A., and Leybourne, M. I.: Sulfur isotope compositions in the weathering profile of magmatic Ni-Cu deposits in SW Australia, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8563, https://doi.org/10.5194/egusphere-egu22-8563, 2022.

EGU22-12211 | Presentations | BG2.1

Fractionation of stable rhenium isotopes in terrestial hydrothermal systems 

Wenhao Wang, Alexander Dickson, Mathieu Dellinger, Kevin Burton, Deirdre Clark, Guðjón Helgi Eggertsson, Íris Eva Einarsdóttir, Robert Hilton, Heimir Ingimarsson, Kiflom Gebrehiwot Mesfin, and Julie Prytulak

Rhenium (Re) is a redox-sensitive element. Recent advances in the precision of measurement of the stable isotopic composition of Re (δ187Re) allow exploration of its potential as a proxy for paleoredox and/or chemical weathering [1]. However, as yet, there have been few studies reporting the geochemical cycling of Re and stable Re isotopes in the modern environments [2] [3], and processes that regulate the Re isotope behavior in hydrothermal systems remain unexplored.

Here we present results of the analysis of Re concentration and δ187Re (relative to NIST3143) for water samples collected from hydrothermal and groundwater systems in Iceland. We show that Re in basalt-hosted boiled hydrothermal fluids from Hellisheidi, Nesjavellir, Reykjanes and Svartsengi sites is isotopically heavier (δ187Re = –0.01 to +0.32‰) than Re in Icelandic basalts (δ187Re = ~–0.32‰). The direction of fractionation holds regardless of types of fluid reservoir (meteoric vs. seawater), and is consistent with precipitation of isotopically light sulfides in the hydrothermal system and/or kinetic fractionation of Re during degassing. By contrast, Re in cold (< 10°C) groundwaters collected from the Mývatn area is isotopically indistinguishable from host basalt. Natural hot spring waters exhibit variable δ187Re values (–0.28 to +0.26‰), likely reflecting mixing between hydrothermal and groundwater endmembers. The relatively isotopically heavy δ187Re from hydrothermal sources has the potential to modify the oceanic budget, which has implications for the isotope mass balance of Re.

[1] Dellinger et al. (2020) JAAS, 35, 377. [2] Dickson et al. (2020) GCA, 287, 221-228. [3] Dellinger et al. (2021) EPSL, 573, 117131.

How to cite: Wang, W., Dickson, A., Dellinger, M., Burton, K., Clark, D., Eggertsson, G. H., Einarsdóttir, Í. E., Hilton, R., Ingimarsson, H., Mesfin, K. G., and Prytulak, J.: Fractionation of stable rhenium isotopes in terrestial hydrothermal systems, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12211, https://doi.org/10.5194/egusphere-egu22-12211, 2022.

EGU22-12236 | Presentations | BG2.1

After the flood: Sulfur authigenesis and isotope discrimination in a rewetting coastal fen 

Anna-Kathrina Jenner, Michael E. Böttcher, Luz Eva Fernández-Fernández, Denise Otto, Mary A. Zeller, Franziska Koebsch, Gerald Jurasinski, Matthias Kreuzburg, Benjamin Rach, Lukas Winski, Julia Westphal, Catia M. Ehlert von Ahn, and Iris Schmiedinger

Land-ocean interactions in the coastal zone are of particular interest regarding the exchange of substances, like nutrients, carbon, sulfur, metals, and water. The rising sea level is and will enhance the pressure of salty solutions on previously fresh water ecosystems. We present here new results on the isotope biogeochemistry of a rewetted peatland, at the southern Baltic Sea, that is impacted by event-type flooding with brackish seawater. Sediment cores on transects through the wetland were investigated for their pore water and solid phase (mineral and organic matter) composition. Different fractions of the soils and solutions were analyzed for the elemental composition, mineral micro-textures, and the stable isotope composition (H, C, O, S) to understand the changes in water and biogeochemical carbon-sulfur-metal cycles due to flooding and the consequence for the development of sulfur isotope signatures in authigenic mineral phases and organic matter.

Flooding events with brackish water increased the availability of sulfate as an electron acceptor for microbial carbon transformations. This added sulfur impacted the remineralization capacity of organic substrates and created space for mineral authigenesis, with related iron sulfide textures. It yields isotope signals that are indicative for non-steady state biogeochemistry of coastal ecosystems and allow for a transfer of proxy information to other modern and past coastal organic-rich peatlands.

The soil cores from the peatland reflects the intense activity of sulfate-reducing bacteria and the associated formation of iron sulfides (essentially pyrite) and provided the isotope evidence for site-dependent sulfurization of organic matter. Sedimentary sulfur fractions and their stable isotope signatures are controlled by the availability of dissolved organic matter and/or methane, reactive iron, and in particular dissolved sulfate and, thereby, from the relative position with respect to the coast line, and depend on the surface topography and soil characteristics. Further mechanistic investigations consider the role of DOS upon changing sulfur substrate availability.

 

Acknowledgement for support by DFG-Baltic TRANSCOAST, ERASMUS, DAAD, Leibniz-IOW

How to cite: Jenner, A.-K., Böttcher, M. E., Fernández-Fernández, L. E., Otto, D., Zeller, M. A., Koebsch, F., Jurasinski, G., Kreuzburg, M., Rach, B., Winski, L., Westphal, J., Ehlert von Ahn, C. M., and Schmiedinger, I.: After the flood: Sulfur authigenesis and isotope discrimination in a rewetting coastal fen, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12236, https://doi.org/10.5194/egusphere-egu22-12236, 2022.

EGU22-12261 | Presentations | BG2.1

Compound-specific isotope analysis (CSIA) of pesticide residues in soil to evaluate in situ degradation over space and time 

Gwenaël Imfeld, Jérémy Masbou, and Sylvain Payraudeau

Contamination of soils by organic pollutants such as pesticides, hydrocarbons or chlorinated solvents in agricultural, urban and industrial soils is a widespread issue. Knowledge on the occurrence, extent and pathways of (bio)degradation of persistent pollutants in soil is crucial to improve the monitoring of their persistence and predict ecotoxicological risks. One of the latest important analytical developments is the coupling of gas/liquid-chromatography to continuous-flow isotope ratio mass spectrometry allowing to measure various stable isotopes ratios specific to each pollutant molecule. Starting from about the year 2000, compound-specific isotope analysis (CSIA), based on natural abundance, has successfully been applied to evaluate the occurrence and transformation pathways of industrial pollutants in groundwaters. However, the need of a sufficient mass of analyte for CSIA combined with low pesticide concentrations (sub-ug g-1) and the co-enrichment of non-volatile soil components, leading to the so-called ‘matrix effect’ during chromatographic separation, currently challenge CSIA application to pesticide residues in soil. Here, we examined preparation procedures of soil samples to maximize the analytical performance for precise and sensitive CSIA without altering the isotope ratio of the target pesticides. Overall, our results emphasize the versatility of QuEChERS approaches as a standard preparation method for pesticide CSIA from soil samples and possible adaptations for specific matrix-analyte combinations to reach more selective extraction. Different families of pesticides with contrasted physico-chemical properties were extracted from various types of soil for CSIA from microcosms, mesocosms and field studies. No significant isotope fractionation for carbon (Δδ13C ≤ 1‰) and nitrogen (Δδ15N ≤ 0.5‰) was observed, despite variable extraction efficiencies. CSIA coupled to enantioselective analysis (ESIA) enabled to evaluate the degradation extent and mechanisms in soil of the chiral fungicide metalaxyl (i.e., S-MTY and R-MTY enantiomers). Significant enantioselective degradation (kS-MTY= 0.007 – 0.011 day−1 < kR-MTY=0.03 – 0.07 day−1) was associated with significant carbon stable isotope fractionation (Δδ13CS-MTY from 2 to 6‰). Column mesocosm experiments showed that biodegradation of anilide herbicides and fungicides (i.e. acetochlor, alachlor, S-metolachlor, butachlor and metalaxyl) was favored in the soil solution of soil-plant systems, independently of the soil type, whereas degradation in soil remained limited. CSIA of terbutryn, an urban biocide commonly added in facade paints and renders, highlighted its persistence in outdoor soil lysimeters and its potential transport into groundwater. In a field study, we demonstrated the applicability of CSIA to track at the catchment scale the degradation and export of the pre-emergence herbicide S-metolachlor from soil to water and identify the contributing source areas. Based on maximum shifts in carbon stable isotope signatures (Δδ13C = 4.6 ± 0.5‰) of S-metolachlor we estimated maximum degradation in soil to have reached 96 ± 3% two months after first application. Altogether, this study emphasizes the variability degradation of different pesticides in soils and proposes a framework using CSIA to examine the contribution of pesticide dissipation processes in polluted urban and agricultural soils.

How to cite: Imfeld, G., Masbou, J., and Payraudeau, S.: Compound-specific isotope analysis (CSIA) of pesticide residues in soil to evaluate in situ degradation over space and time, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12261, https://doi.org/10.5194/egusphere-egu22-12261, 2022.

EGU22-178 | Presentations | BG3.22 | Highlight

Nitrogen cycling in forest soils under elevated CO2: response of a key soil nutrient to climate change 

Manon Rumeau, Sami Ullah, Rob Mackenzie, Yolima Carillo, Michaela Reay, and Fotis Sgouridis

Forests under elevated atmospheric CO2 concentration as a result of climate change are expected to require more available nitrogen (N) to sustain the enhanced CO2 uptake for photosynthesis and C storage. Therefore, it is essential to evaluate how CO2 fumigation of forests will affect availability of N to trees. Main pathways to sustain the high N demand are increasing biological N fixation (BNF), increasing N turn-over and reducing N losses. The purpose of this research is to explore the effects of elevated CO2 on soil N cycling in a temperate forest under the Birmingham Institute of Forest Research (BIFoR) Free Air Carbon Dioxide Enrichment facility. We hypothesize that under CO2 fertilization, trees will allocate more carbon belowground to enhance microbial activity for increasing N mineralization as well as enhancing BNF to meet N demands. We also hypothesize that the subsequent microbial activity will up-regulate N2O and N2 emissions due to denitrification. BNF by free-living organisms is investigated using the 15N assimilation method. Mineralization and N gas production rates is determined using the 15N pool dilution and 15N-Gas flux method at the same time. Early results are showing trends toward an enhancement of N mineralization and microbial N immobilization rates. However, BNF in the forest floor is hardly detectable more likely because of the high N deposition in the area; therefore, it doesn’t appear to be responsive to CO2 fumigation. This research is expected to help us improve our understanding of the changes and magnitude of nutrient availability and gaseous losses under future climates.

How to cite: Rumeau, M., Ullah, S., Mackenzie, R., Carillo, Y., Reay, M., and Sgouridis, F.: Nitrogen cycling in forest soils under elevated CO2: response of a key soil nutrient to climate change, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-178, https://doi.org/10.5194/egusphere-egu22-178, 2022.

EGU22-409 | Presentations | BG3.22 | Highlight

Soil habitat and drought shape microbial traits associated with mineral-associated soil carbon formation 

Noah Sokol, Megan Foley, Steven Blazewicz, Katerina Estera-Molina, Alex Greenlon, Mary Firestone, Bruce Hungate, Eric Slessarev, Jose Liquet, and Jennifer Pett-Ridge

Soil microorganisms are frontline managers of the terrestrial carbon cycle. To better understand and model their effects under a changing climate, it is critical to determine which microbial ecophysiological traits are associated with soil organic matter formation – particularly mineral-associated organic matter (MAOM). Yet major uncertainty surrounds the traits that regulate this process, and how environmental context (e.g. spatial habitat, moisture conditions) shapes the manifestation of these traits. Microbial carbon-use efficiency (CUE) is posited to be a particularly key microbial trait, yet direct evidence for this relationship is sparse, and few other microbial traits have been directly tested as predictors of MAOM formation.

To investigate the relationship between different microbial traits and MAOM, we conducted a 12-week 13C tracer study to track the movement of rhizodeposits and root detritus into microbial communities and SOM pools under moisture replete (15 ± 4.2 %) or droughted (8 ± 2%) conditions. Using a continuous 13CO2-labeling growth chamber system, we grew the annual grass Avena barbata for 12 weeks and measured formation of 13C-MAOM from either 13C-enriched rhizodeposition or decomposing 13C-enriched root detritus. We also measured active microbial community composition (via 13C-quantiative stable isotope probing; qSIP) and a suite of microbial traits that may be important in soil carbon formation, including community-level carbon-use efficiency, growth rate, and turnover (via the 18O-H2O method), extracellular enzyme activity, bulk 13C-extracellular polymeric substances (EPS), and total microbial biomass carbon (13C-MBC).

We found that different microbial traits were associated with MAOM formation in the rhizosphere versus the detritusphere, and their effect was influenced by soil moisture. In the rhizosphere, fast growth and turnover were positively associated with MAOM, as were total 13C-MBC and 13C-EPS production. In contrast, growth rate was negatively associated with MAOM formation in the detritusphere, as were CUE, 13C-MBC, and 13C-EPS. However, extracellular enzyme activity was positively associated with MAOM in the detritusphere. These results, paired with data on the chemical composition of MAOM (via STXM-NEXAFS) suggest that traits associated with fast growth and death rates, as well as high necromass yield, generate microbial-derived MAOM in the rhizosphere, whereas traits associated with resource acquisition generate plant-derived MAOM in the detritusphere. We also present 13C-qSIP data demonstrating that fungal taxa are more active in the detritusphere, whereas certain bacterial phyla (e.g., Firmicutes) are more active in the rhizosphere. Together, our results show that distinct traits, communities, and pathways of MAOM formation predominate in the rhizosphere versus the detritusphere. New research should focus on a broader suite of microbial traits – including but not limited to CUE – to model the role of microbes in MAOM formation in distinct habitats and moisture conditions of the soil.  

How to cite: Sokol, N., Foley, M., Blazewicz, S., Estera-Molina, K., Greenlon, A., Firestone, M., Hungate, B., Slessarev, E., Liquet, J., and Pett-Ridge, J.: Soil habitat and drought shape microbial traits associated with mineral-associated soil carbon formation, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-409, https://doi.org/10.5194/egusphere-egu22-409, 2022.

EGU22-500 | Presentations | BG3.22 | Highlight

Understanding soil N2O emissions and production pathways in a changing climate by coupling automated chambers with isotope measurements 

Elena Stoll, Eugenio Diaz-Pines, David Reinthaler, Jesse Radolinski, Michael Schloter, Stefanie Schulz, Clara Duffner, Ye Tian, Wolfgang Wanek, Erich Pötsch, Stephan Glatzel, Sophie Zechmeister-Boltenstern, Michael Bahn, and Eliza Harris

Soils are the dominant global source of the important greenhouse gas nitrous oxide (N2O). The anthropogenic input of nitrogen (N) into soil ecosystems increases the rate of soil N cycling, and thus enhances soil N2O emissions. N2O is produced during microbial N transformation processes, mainly via oxic nitrification and anoxic denitrification processes. These predominant pathways depend heavily on soil environmental conditions, such as soil moisture, aeration and substrate availability, which are modulated by weather and climate conditions, atmospheric composition and land use. Consequently, N2O emission rates and pathways are likely to be affected by future global changes in climate and atmospheric composition. However, the combined effects of elevated carbon dioxide (eCO2) and elevated air temperature on both N2O emission rates and pathways are unclear, as the effects can be synergistic, antagonistic or additive, and they can be further influenced by additional interacting disturbances (e.g. summer drought).

Here we test how soil N2O fluxes and emission pathways respond to environmental changes in a multifactorial climate manipulation experiment, combining warming and eCO2, as well as precipitation manipulation to simulate an extreme drought during the growing season in a managed montane grassland. For the first time, we combine in-situ surface N2O flux measurements with online high-time resolution isotopic measurements, soil N2O isotope depth profiles, molecular microbial ecology, and complementary soil and microclimate measurements. Under future global change conditions, we expect increasing N2O emission rates, as well as an increasing importance of denitrification, due to the effect of large emission pulses following rewetting. In addition, we hypothesize that drought effects overrule other environmental change factors. Our results will provide an unprecedented insight into the effects of global changes on soil N dynamics and soil N2O emissions in managed montane grasslands. Furthermore, these findings will help to improve the modelling of N dynamics at the atmosphere-biosphere interface, which will be used to derive soil N2O production and consumption pathways, based on soil N2O isotope measurements, and to upscale the results to examine their potential global relevance.

How to cite: Stoll, E., Diaz-Pines, E., Reinthaler, D., Radolinski, J., Schloter, M., Schulz, S., Duffner, C., Tian, Y., Wanek, W., Pötsch, E., Glatzel, S., Zechmeister-Boltenstern, S., Bahn, M., and Harris, E.: Understanding soil N2O emissions and production pathways in a changing climate by coupling automated chambers with isotope measurements, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-500, https://doi.org/10.5194/egusphere-egu22-500, 2022.

EGU22-1076 | Presentations | BG3.22 | Highlight

No recalcitrant material in a warming world – Loss of plant-derived and pyrogenic polymers in subsoils after 4.5 years of whole-soil warming 

Cyrill Zosso, Nicholas O.E. Ofiti, Margaret S. Torn, Guido L.B. Wiesenberg, and Michael W.I. Schmidt

Soil organic carbon accounts for 2-3 times the amount of carbon (1500-2400 GtC) as compared to the atmosphere, making it an important component of the global carbon cycle. Global warming will also increase soil temperature over the whole soil profiles. As warming experiments to date often focused on topsoils (0-20 cm depth), it is largely unknown how subsoil organic carbon (OC) will be affected by warming, despite the large share of OC stored in subsoils (50% of total soil OC). Furthermore, it remains contentious how temperature sensitive various functional carbon pools are. For example, plant-derived and pyrogenic polymers sometimes have a longer turn-over time as compared to bulk SOC, but could be more sensitive to decomposition under warming.

The whole-soil warming experiment is located in a temperate forest in the Sierra Nevada, CA, US. Soils were warmed by +4°C to 1 m depth with heating rods, maintaining the natural temperature gradient and seasonality. We analyzed plant-derived hydrolysable lipids and the pyrogenic polymers, benzene polycarboxylic acids (BPCA), to better understand the degradation of soil OC and the mentioned polymers.

Our results after 4.5 years of +4°C whole soil warming highlight the vulnerability of even complex plant-derived and pyrogenic polymers in subsoil to warming. Both plant-derived (-27.7±3.3%) and pyrogenic polymers (-37.2±7.9%) were less abundant in subsoils of warmed as compared to control plots, whereas concentrations in topsoils were not affected by warming. These observations underline that in a warming world, previously stable polymeric carbon might be quickly degraded and released to the atmosphere. At the study site, primarily free particulate organic matter was lost, thus the polymeric carbon was potentially part of this unprotected fraction. Taken together, our results underline the importance of studying the effect of soil warming over whole soil profiles. The loss of plant-derived and pyrogenic polymers from warmed subsoils indicates that these compounds are not inherently stable but also prone to degradation in these carbon-limited subsoils with global warming. Our findings contradict the proposed use of plant-derived polymers and pyrogenic carbon for long-term carbon sequestration.

How to cite: Zosso, C., Ofiti, N. O. E., Torn, M. S., Wiesenberg, G. L. B., and Schmidt, M. W. I.: No recalcitrant material in a warming world – Loss of plant-derived and pyrogenic polymers in subsoils after 4.5 years of whole-soil warming, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1076, https://doi.org/10.5194/egusphere-egu22-1076, 2022.

EGU22-1192 | Presentations | BG3.22 | Highlight

Cutting the Gordian knot of climate control on decomposition  

Francois-Xavier Joly, Michael Scherer-Lorenzen, and Stephan Hättenschwiler

Strong recent challenges of the long-standing paradigm that macroclimate predominantly controls decomposition questions the accuracy of climate change predictions. With a novel approach combining three experiments at continental scale, using 104 litter types in 194 plots in six major European forests, we show that the confusion around the macroclimate control on decomposition is mostly an experimental artefact. The relative role of decomposition drivers was incorrect when disrupting the natural context of locally-produced litter decomposing locally, with either a focus on litter characteristics neglecting microenvironmental context, or on environmental drivers neglecting local litter characteristics. Our data reaffirm macroclimate and its interaction with litter characteristics as predominant decomposition drivers. Conversely, standard litter types overrated microenvironmental control and failed to predict local decomposition of plot-specific litter. Our findings provide support for a strong macroclimate component in predictive decomposition models and call for cautious interpretation of data from experiments using standard litter types.

How to cite: Joly, F.-X., Scherer-Lorenzen, M., and Hättenschwiler, S.: Cutting the Gordian knot of climate control on decomposition , EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1192, https://doi.org/10.5194/egusphere-egu22-1192, 2022.

EGU22-1320 | Presentations | BG3.22 | Highlight

Drought-induced reductions in net methane emissions from an ombrotrophic peatland are enhanced across a range of experimental warming treatments 

Paul Hanson, Jana Phillips, Colleen Iversen, Daniel Ricciuto, Fenghui Yuan, Jingwei Zhang, and Xiaofeng Xu

Peatlands represent a dominant source of natural CH4 emissions from the land surface to the atmosphere and the quantitative nature of CH4 emissions for future climatic conditions is a key unknown. The SPRUCE experimental warming by elevated CO2 study located in northern Minnesota has been addressing this question for in situ forested peatland plots since 2016 for five different warming treatments (+0, +2.25, +4.5, +6.75 and +9 °C). Under predominantly wet conditions from 2016 through 2019 (2020 observations were not obtained due to COVID travel restrictions) with minimal reductions in peatland water table levels, CH4 emissions showed an exponential increase across warming treatments with no apparent impact from mid-summer drying conditions nor evidence of a clear elevated CO2 response. The CH4 emissions were less than 1 µmol m-2 s-1 for ambient or low temperature treatments but ranged from 2 to 5 µmol m-2 s-1 under the +6.75 and +9 °C warming treatments.  Moisture and water table levels had minimal impacts on net CH4 flux during this wet period.

The 2021 summer season, however, provided extremely low precipitation and high evapotranspiration that led to reduced average water table depths across the warming treatments to -0.34, -0.45, -0.54, -0.71 and    -0.83 m, respectively. These drought-induced drops in the water table led to aeration of the surface peat layers (acrotelm) and effectively shut off CH4 production in the top layers of the bog. Some evidence for limited net CH4 uptake to the bog during the driest conditions (-0.001 to -0.01µmol m-2 s-1) suggested that CH4 oxidation was playing a role in the reductions of net CH4 emissions. An empirical fitted relationship for net CH4 flux as a function of peat temperatures at -0.2 m and water table depth was developed across all treatments and years. That fitted curve showed that net CH4 emissions were precluded when water table levels dropped below -0.3 m.  This depth corresponds to the peat acrotelm layer containing most of the live root production and activity. The ELM_SPRUCE model was used to fuse the CH4 data to investigate the causes of reduction in CH4 emission. The model was able to reconstruct the dynamics of substrates and CH4 processes under ambient and warming treatments; hydrological feedback was confirmed as warming drives water table drop, which is exacerbated by drought in the summer of 2021.This data-model integration approach suggests the roles of mechanistic models in understanding CH4 cycling in response to warming and drought interactions in future climates.

How to cite: Hanson, P., Phillips, J., Iversen, C., Ricciuto, D., Yuan, F., Zhang, J., and Xu, X.: Drought-induced reductions in net methane emissions from an ombrotrophic peatland are enhanced across a range of experimental warming treatments, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1320, https://doi.org/10.5194/egusphere-egu22-1320, 2022.

Global air and soil temperature and nitrogen (N) enrichment are expected to increase in the future, which have the potential to change quantity and quality of soil organic carbon (SOC) pool and alter terrestrial C cycling. However, the underlying mechanism remain unclear especially in the alpine meadow ecosystem on the Tibetan Plateau, which is quite sensitive to global change and is of great importance in regulating future SOC emissions. Using a 9-year two-way factorial experiment involving warming and multilevel N enrichments in the Tibetan Plateau, we showed that both warming and N enrichment promotes soil and microbial C loss. We examined abundance of relative functional genes and found that N enrichment enhanced the ability of microorganisms to degrade labile SOC and reduced the ability to degrade less labile SOC. A long-term laboratory incubation combined with a two-pool model analysis and molecular component examination were conducted to examine potential mechanisms underlying the stabilization variations in different C pools. Diffuse reflectance infrared Fourier transform spectroscopy and biomarker analysis will be used to reveal SOC composition changes and underlying degradation mechanisms. This study highlights the crucial role of soil C stabilization mechanisms in regulating SOC – climate feedback when exposed to warming and chronic atmospheric N enrichment.

How to cite: Sun, H., Schmidt, M., and Nie, M.: Soil organic carbon loss promoted by long-term warming and simulated chronic nitrogen enrichment in the Tibetan Plateau, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2066, https://doi.org/10.5194/egusphere-egu22-2066, 2022.

EGU22-2433 | Presentations | BG3.22

How will belowground plant biomass in deep soil respond to warming in temperate forests? 

Binyan Sun, Cyrill Zosso, Guido Wiesenberg, Michael Schmidt, and Margaret Torn

IPCC climate models (RCP8.5) suggest 4°C warming until 2100, which could potentially accelerate soil carbon loss, greenhouse gas release, and thus promote global warming. Despite low carbon concentrations, subsoils (> 30 cm) store more than half of the total global soil carbon stocks. Retaining this is crucial to mitigate soil carbon greenhouse gas release. However, how deep soil carbon will respond to warming and how increased root-derived carbon could contribute to carbon stabilization in subsoils is under-studied and largely unknown. We aim to i) quantify the decomposition rate of root-litter at different depths with a +4°C warming field experiment, ii) assess whether various plant polymers will degrade differently in heated and control plots, iii) identify decomposition products of plant biomass remaining after three years of incubation.

In a field experiment in a temperate forest, 13C labelled root-litter was added at different soil depths (10-14, 45-49, 85-89 cm) in 2016 and retrieved half of the cores in 2017 and the remaining half in 2019. So far, we measured bulk soil carbon concentrations and d13C-composition of individual microbial biomarkers (PLFA).

Results confirm that bulk carbon concentrations and d13C values follow typical depth trends, except for the three horizons containing 13C labelled root-litter incubations. Next, we will quantify above- and below-ground biomarkers (cutin and suberin, respectively) and determine compound-specific 13C-composition in each molecular fraction in heated and control plots. We suspect that the presumably difficult to degrade compounds (cutin, suberin, and lignin polymers) will degrade slower than bulk organic matter over the observation period, and likely faster in heated than control plots. However, early results from warming experiments provide circumstantial evidence that also these compounds might degrade in synchrony with the bulk organic matter.

How to cite: Sun, B., Zosso, C., Wiesenberg, G., Schmidt, M., and Torn, M.: How will belowground plant biomass in deep soil respond to warming in temperate forests?, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2433, https://doi.org/10.5194/egusphere-egu22-2433, 2022.

EGU22-3521 | Presentations | BG3.22

High soil organic carbon losses in response to forest windthrow 

Mathias Mayer, Silvan Rusch, Markus Didion, Andri Baltensweiler, Lorenz Walthert, Stephan Zimmermann, and Frank Hagedorn

Storms represent a major disturbance factor in forest ecosystems, but the effects of windthrows on soil organic carbon (SOC) stocks are quantitatively poorly known. Here we present a comprehensive analysis of windthrow-induced changes in SOC stocks in Swiss forests by combining field-based measurements and modelling simulations. We measured the SOC stocks of 19 windthrown forests across Switzerland, about 10 and 20 years after they were disturbed by the storms ‘Lothar’ and ‘Vivian’ and compared them to the stocks of adjacent intact forests. We also calibrated the process-based model Yasso07 for additional 77 windthrown forests. Our results show that the effect of windthrow on SOC is strongly related to the size of the initial SOC stocks in the organic layer. In absolute and relative terms, the largest SOC losses occurred in high-elevation forests with thick organic layers, where initial SOC stocks decreased by up to 90% (or 30 t C ha-1). In contrast, SOC stocks of low-elevation forests with thin organic layers were hardly affected. The likely reason for this pattern is the high stocks of easily mineralizable organic matter in thick organic layers of mountain forests, while at low elevations a greater SOC fraction is stabilized by mineral interactions. Modelling simulations further show longer-lasting SOC losses and a slower recovery of SOC stocks after windthrow at high-elevations compared to low-elevations, due to a slower regeneration of mountain forests and associated lower C inputs into soils. We also upscaled the SOC changes after windthrow to the whole forested area of Switzerland and estimated a total SOC loss of ~0.3 Mt C after the storms ‘Lothar’ and ‘Vivian’. Our results provide strong empirical evidence that windthrows can reduce the SOC stocks of forest ecosystems, with mountain forests being hotspots for SOC losses.

How to cite: Mayer, M., Rusch, S., Didion, M., Baltensweiler, A., Walthert, L., Zimmermann, S., and Hagedorn, F.: High soil organic carbon losses in response to forest windthrow, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3521, https://doi.org/10.5194/egusphere-egu22-3521, 2022.

EGU22-3647 | Presentations | BG3.22

Finding the sweet scale to understand processes and climate control over soil carbon stocks 

Hermann Jungkunst, Melanie Brunn, Jan Goepel, Simone Ott, and Thomas Horvath

Earth system model are designed to capture our present knowledge of soil-carbon-climate interactions. However, uncertainties remain high because mechanistic insights are available at fine scales for which we can never achieve unbiased resolution for global modeling. Consequently, the key challenge gaining global or regional overviews of soil carbon-climate feedbacks is to identify the scale that best reflects the underlying soil processes without getting lost in details. According to latest findings, the dominant control of soil carbon persistence varies with climate, which suggests that overarching proxies at a critical mesoscale combine climatic and soil factors and could enable regionally tailored approaches. Here, the Holdridge Life Zone (HLZ) classification proved to be more than a descriptive tool to guide our understanding of soil carbon-climate interaction allowing for linking top-down (from global to local) and bottom-up (from local to global) approaches. In the talk we will present the results for the indiviaul 38 HLZ and present possibilities to add soil internal controls. Regionally tailored solutions can lead to better management of soil carbon. Improving ‘translations’ from the scales relevant for process understanding to the scales of decision-making is key to sustainable soil management and to improve predictions of the fate of our largest terrestrial carbon reservoir during climate change.

How to cite: Jungkunst, H., Brunn, M., Goepel, J., Ott, S., and Horvath, T.: Finding the sweet scale to understand processes and climate control over soil carbon stocks, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3647, https://doi.org/10.5194/egusphere-egu22-3647, 2022.

Surfactants are used in the soil for many purposes such as for aiding water infiltration into hydrophobic soils or remediating soil contamination. The effectiveness of surfactants in such applications relies greatly on surfactant surface properties - affected by environmental conditions such as temperature. Under the effect of climate change, soil temperature may fluctuate unpredictably, leading to an ambiguation on the appropriate use of surfactants. Therefore, for precise decisions of surfactant application in the soil, it is necessary to evaluate the impact of temperature on surfactant properties. In this study, we chose Rhamnolipid (RLP) -  a biosurfactant that potentially could be used in soils as an alternative for other non-sustainable synthetic surfactants. Our objective was to investigate the surface properties of RLP under the effect of temperature. Previous studies pre-treated RLP with heat and thereafter characterized its surface properties after reaching room temperature. Our study, on the other hand, monitored the dynamic surface tension of RLP at real-time temperature, ranging from 10 to 45 ºC. For a given temperature, the surface tension as a function of time was measured using the pendant drop technique by an optical tensiometer (OCA-22, Data Physics). The diffusion coefficient of RLP to the liquid/air interface and equilibrium surface tension was calculated. In this presentation, both the dynamic and equilibrium surface properties of the RLP mixture (mono and di-rhamnolipid) as a function of temperature will be shown and discussed.  

How to cite: Nguyen, T. and Arye, G.: Dynamic and equilibrium surface tension of Rhamnolipid: Effect of real-time temperature., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3712, https://doi.org/10.5194/egusphere-egu22-3712, 2022.

Methane (CH4) is over 25 times stronger greenhouse gas than CO2 on a molar basis, and its concentration increases continuously. Its global budget, however, is yet to be constrained, and the greatest uncertainty is associated with natural sources and sinks. Terrestrial ecosystems are known to uptake atmospheric CH4 by a group of microbes known as methanotrophs. Previous studies have noted that the controlling variables for methane oxidation in forest soils are moisture content, temperature and nutrient availability. However, previous estimation on CH4 oxidation in terrestrial soils exhibit great discrepancy between model estimates and field observations. In this study, we measured CH4 uptake rates monthly in temperate pine forests and seasonally in subtropical forests in Korea for 2 years. In addition, soil chemical properties and microbial composition were monitored to reveal the key controlling variable for the uptake rates. Deciduous forests showed the highest CH4 uptake rate followed by mixed forests and the lowest was observed in coniferous forests. Air-filled porosity and the abundance of methanotrophs were correlated with CH4 uptake rate. Our results as well as meta-analysis of 207 measurements from 84 literature showed that soil organic matter (SOM) content significantly correlated with soil CH4 uptake rate at both regional and global scales, indicating that SOM can be a robust controlling factor for CH4 oxidation. We speculate that SOM content affects soil CH4 oxidation via alters air-filled porosity and available carbon source for facultative methanotrophs. The amount of CH4 oxidation in global forests estimated by a model based on SOM content is 22.22 Tg, which far exceeds previous estimation of 17.46 Tg.

How to cite: Kang, H., Lee, J., and Oh, Y.: Soil organic matter as a key controlling variable for methane oxidation in forest soils – microbial analysis and global estimation, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3970, https://doi.org/10.5194/egusphere-egu22-3970, 2022.

EGU22-4427 | Presentations | BG3.22 | Highlight

Long-term soil warming alters fine root dynamics and morphology, and their ectomycorrhizal fungal community in a temperate forest soil 

Steve Kwatcho Kengdo, Derek Peršoh, Andreas Schindlbacher, Jakob Heinzle, Ye Tian, Wolfgang Wanek, and Werner Borken

Climate warming is predicted to affect temperate forests severely, but the response of fine roots, key to plant nutrition, water uptake, soil carbon and nutrient cycling is unclear. Understanding how fine roots will respond to increasing temperature is a prerequisite for predicting the functioning of forests in a warmer climate. We studied the response of fine roots and their ectomycorrhizal (EcM) fungal and root-associated bacterial communities to soil warming by 4 °C in a mixed spruce-beech forest in the Austrian Limestone Alps after 8 and 14 years of soil warming, respectively. Fine root biomass and fine root production were 17% and 128% higher in the warmed plots, respectively, after 14 years. The increase in fine root biomass (13%) was not significant after 8 years of treatment, whereas specific root length, specific root area, and root tip density were significantly higher in warmed plots at both sampling occasions. Soil warming did not affect EcM exploration types and diversity, but changed their community composition, with an increase in the relative abundance of Cenococcum at 0 – 10 cm soil depth, a drought-stress tolerant genus, and an increase in short and long-distance exploration types like Sebacina and Boletus at 10 – 20 cm soil depth. Warming increased the root-associated bacterial diversity, but did not affect their community composition. Soil warming did not affect nutrient concentrations of fine roots, though we found indications of limited soil phosphorus (P) and potassium (K) availability. Our findings suggest that, in the studied ecosystem, global warming could persistently increase soil carbon inputs due to accelerated fine root growth and turnover, and could simultaneously alter fine root morphology and EcM fungal community composition towards improved nutrient foraging.

How to cite: Kwatcho Kengdo, S., Peršoh, D., Schindlbacher, A., Heinzle, J., Tian, Y., Wanek, W., and Borken, W.: Long-term soil warming alters fine root dynamics and morphology, and their ectomycorrhizal fungal community in a temperate forest soil, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4427, https://doi.org/10.5194/egusphere-egu22-4427, 2022.

EGU22-4506 | Presentations | BG3.22

Non-uniform Soil Respiration of Soils from an Afforestation Sequence in a Laboratory Incubation Experiment 

Dario Püntener, Tatjana C. Speckert, Carrie L. Thomas, and Guido L.B. Wiesenberg

Carbon cycling in alpine soils is prone to changes with temperature increase, for instance because of reduced frost periods (Zierl & Bugmann, 2007). Afforestation throughout the last decades and in future with warming climate and land-use change will influence carbon dynamics. To investigate the climate-driven response of carbon cycling in alpine soils, we conducted a jar incubation experiment under controlled conditions using 13C-labelled plant material and traced the decomposition of the organic material under different increasing temperature regimes.

Approximately 20 kg of soil samples were collected from the uppermost 10 cm of a 130-year old tree stand and a pasture site from a sub-alpine afforestation sequence in Jaun, Switzerland. The samples were sieved to 2 mm, roots and stones were removed. 50 g of the soil material was incubated in 2 l glass jars.

To investigate the degradation of the organic material, dried and cut shoots of 13C labelled plant material (Lolium perenne L.) were added to the soil samples. Additionally, samples without added plant material were incubated as a control group. The incubation was conducted at three different temperature regimes: 12.5°C (average growing season temperature, weather station by WSL-SLF, 2021), 16.5°C (+ 4°C) and 20.5°C (+ 8°C). Destructive sampling was conducted after 0, 2, 4, 8, and 26 weeks. NaOH traps were exchanged every 3-4 days in the beginning and every 3 weeks during later stages of the experiment to trace the respiration of CO2 and the 13C label.

The measured basal respiration shows a temperature dependence. The values are highest at 20.5°C and subsequently decreased to 16.5°C and 12.5°C with the lowest basal respiration. Surprisingly, the basal respiration of the forest soil is always higher than that of the pasture soil of the same incubation temperature. This partially contradicts previous findings (Nazaries et al., 2015) and might be related to the more resilient microbial community in the forest compared to the pasture soil.

Litter-induced respiration increased sharply after litter application and then decreased again. The pasture soil shows higher cumulative respiration for each temperature compared to the forest soil incubated at the respective temperature. After the highest litter-induced respiration of the pasture soil at 20.5°C at the beginning, this is surpassed by that of the pasture soil with 16.5°C from about 40 days after the beginning of incubation. This could indicate a temperature optimum of the current soil microbial community closer to 16.5°C rather than to 20.5°C. These initial results indicate a different sensitivity of the soil microbial community and consequently also carbon cycling in alpine soils to future rising temperature depending on vegetation cover.

Nazaries, L., Tottey, W., Robinson, L., Khachane, A., Al-Soud, W. A., Sørenson, S., & Singh, B. K. (2015). Shifts in the microbial community structure explain the response of soil respiration to land-use change but not to climate warming. Soil Biology and Biochemistry, 89, 123–134.

WSL-SLF (2021), IMIS Weather Station Fochsen-Jaun, WSL, Davos/Switzerland.

Zierl, B., & Bugmann, H. (2007). Sensitivity of carbon cycling in the European Alps to changes of climate and land cover. Climatic Change, 85(1–2), 195–212.

How to cite: Püntener, D., Speckert, T. C., Thomas, C. L., and Wiesenberg, G. L. B.: Non-uniform Soil Respiration of Soils from an Afforestation Sequence in a Laboratory Incubation Experiment, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4506, https://doi.org/10.5194/egusphere-egu22-4506, 2022.

EGU22-4539 | Presentations | BG3.22

Effects of soil warming on in situ fine root exudation rates in a temperate forest soil 

Jakob Heinzle, Xiaofei Liu, Ye Tian, Steve Kwatcho-Kengdo, Werner Borken, Erich Inselsbacher, Wolfgang Wanek, and Andreas Schindlbacher

Trees invest up to one third of the carbon (C) fixed by photosynthesis into belowground allocation, including fine root exudation into the rhizosphere. Rising soil temperatures in a warmer world could modify the allocation of labile C below ground, thereby affecting biogeochemical cycling in forest soils. Up to date our understanding of how fine root exudation of labile carbon compounds responds to warming is yet emerging and in-situ analyses under warming conditions are scarce, especially in mature forests. Using a C-free cuvette incubation method, we investigated in situ rates of root exudation from fine roots in a mature spruce forest across three seasons after 14 and 15 years of warming in the Achenkirch soil warming (+4°C) experiment. In addition, we run a complementary short-term experiment on root exudation, during which we increased soil temperatures on warmed plots stepwise up to a difference of 12°C between treatments within a few days. We found no effect of long-term soil warming on in situ root exudation rates (n = 120 roots sampled). Mean exudation rates per biomass were 16.23 ± 4.03 and 17.94 ± 2.94 µg g-1 h-1 on control and warmed plots respectively, with highest rates found in the late growing season in both treatments. Exudation rates were positively related to the specific root length and were negatively related to soil moisture, but unrelated to soil inorganic N availability and in situ soil temperature. However, the short-term temperature manipulation resulted in an exponential increase of estimated root exudation rates with soil temperature. Our results therefore indicate that fine root exudation from mature trees in the studied ecosystem is inherently controlled by soil temperature, but an interplay with other parameters such as nutrient availability, root morphology and/or soil moisture are the dominant controlling mechanisms across the seasons in the long run. Our observations further indicate that the long-term soil warming by 4°C caused only a subtle increase in root exudation per fine root surface area or per fine root biomass.

How to cite: Heinzle, J., Liu, X., Tian, Y., Kwatcho-Kengdo, S., Borken, W., Inselsbacher, E., Wanek, W., and Schindlbacher, A.: Effects of soil warming on in situ fine root exudation rates in a temperate forest soil, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4539, https://doi.org/10.5194/egusphere-egu22-4539, 2022.

EGU22-4938 | Presentations | BG3.22

Effects of long-term soil warming on soil organic and inorganic nitrogen cycling in a temperate forest soil as assessed by measurements of natural 15N abundances of soil N pools 

Wolfgang Wanek, Michaela Bachmann, Erich Inselsbacher, Jakob Heinzle, Ye Tian, Steve Kwatcho-Kengdo, Chupei Shi, Werner Borken, and Andreas Schindlbacher

The capacity of forest soils and trees to sequester C is closely linked to soil nitrogen (N) bioavailability, a major control of microbial and plant growth and functioning. Recent meta-analyses indicated that both, soil organic C and N cycling, intensify with climate/soil warming, though little studies investigated this in long-term (decadal) warming experiments. Changes in N cycling processes have been addressed by measuring total and labile N pools, net and gross N process rates, and changes in extracellular enzyme activities. An alternative approach, integrating over longer time intervals, is to study the natural 15N abundances of different soil and plant N pools. In this study we quantified the natural 15N abundances (d15N values) of coarse and fine litter, fine roots, soil organic N, extractable organic N, microbial biomass N, ammonium and nitrate at the long-term soil warming experimental site in Achenkirch (Tyrol, Austria). This site is one of the few climate manipulation experiments in forests operating for more than 14 years and has provided unique insights into the effects of global warming on forest ecosystem processes. We analyzed ecosystem compartments across three seasons (May, August, October 2019), to investigate the consistency of warming effects on soil N cycle processes. Moreover, we developed an isotope fractionation model to decipher the isotope fractionations of the studied soil N processes and the fractions transformed by them, i.e. for depolymerization, microbial uptake, N mineralization, nitrification and soil N losses. Overall, the consistent increase in fine root δ15N in warmed soils indicated a general opening of the soil N cycle (greater N losses), which was mirrored in increased ammonium d15N values, the latter implying increased fractions of ammonium being oxidized to nitrate. Higher fractions of ammonium being nitrified makes labile N more amenable to N losses, either by leaching of nitrate or by denitrification losses. Since nitrification and denitrification exhibit strong isotope fractionation effects against 15N, the lost N is concomitantly 15N depleted, while residual substrates remaining in the ecosystem become 15N enriched, thereby explaining the 15N enrichment with increasing N cycling and N loss rates in warmed soils. 

How to cite: Wanek, W., Bachmann, M., Inselsbacher, E., Heinzle, J., Tian, Y., Kwatcho-Kengdo, S., Shi, C., Borken, W., and Schindlbacher, A.: Effects of long-term soil warming on soil organic and inorganic nitrogen cycling in a temperate forest soil as assessed by measurements of natural 15N abundances of soil N pools, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4938, https://doi.org/10.5194/egusphere-egu22-4938, 2022.

EGU22-5545 | Presentations | BG3.22

Introducing the "Global Deep Soil 2100" network 

Michael W. I. Schmidt and Avni Malhotra and the "Global Deep Soil 2100" network

"Global Deep Soil 2100" is a network for whole-ecosystem warming experiments. The aim of DeepSoil 2100 is to bring together researchers working on long-term soil experiments particularly focused on deep soil horizons (at least 1 m). The year '2100' was chosen because IPCC scenarios run until 2100. We welcome whole ecosystem warming manipulations, with or without other manipulations such as water and carbon dioxide concentrations, and studying responses of plants, soil biogeochemistry, ecology, etc.

Globally, there are less than a dozen whole-ecosystem warming experiments but not all researchers know about each other. To introduce experiments and involved scientists, we started video meetings at the end of 2020. This effort brought together experimentalists, modelers and data users into this "whole-ecosystem warming network", to share practical experience on field experiments, data reporting, discuss observations and results and explore synergies regarding tools, knowledge, and data sharing and interpretation. We hope that this network will serve as a basis for future data syntheses and coordinated sampling efforts.

View previous meeting recordings here:  https://tube.switch.ch/channels/ed725365
 
Further details and contact can be found on the webpage of the "International Soil Carbon Network"
https://iscn.fluxdata.org/network/partner-networks/deepsoil2100/

 

How to cite: Schmidt, M. W. I. and Malhotra, A. and the "Global Deep Soil 2100" network: Introducing the "Global Deep Soil 2100" network, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5545, https://doi.org/10.5194/egusphere-egu22-5545, 2022.

EGU22-5625 | Presentations | BG3.22

Linking root traits to soil carbon: model and data gaps 

Avni Malhotra and the Root trait-soil carbon working group

Climate change is expected to alter plant growth and traits, and in turn alter the quantity and quality of plant-derived carbon inputs to soils. Even though root-derived carbon inputs are more likely to be stabilized as soil organic matter (SOM) than aboveground inputs, our models of how climate change influences plant traits and SOM often focus on aboveground plant dynamics. This is in part because our knowledge of root trait linkages to SOM is limited. Recent efforts synthesizing root trait and soil data make it possible to harmonize these data towards an improved representation of roots in terrestrial biosphere models but a conceptual framework to do this is missing. To this end, we review processes that bridge root traits to SOM formation and stabilization and suggest future model improvements. We estimated that 80% of total global soil carbon is in the rooting zone. We then determined that root traits relevant for SOM can be broadly divided into those pertaining to either living or dead roots, within which, the amount, characteristics, and lifespan of living roots, and the decomposability of dead roots and root fragments are particularly important for SOM. Model recommendations included improved allocation regimes, representation of root interactions with microbes and minerals, and incorporation of root-trait variation across the heterogeneous soil matrix. Our review provides a framework necessary for data syntheses and modelling of root trait-SOM linkages to understand future changes in SOM driven by changing plant inputs in a warmer and elevated atmospheric CO2 world. 

How to cite: Malhotra, A. and the Root trait-soil carbon working group: Linking root traits to soil carbon: model and data gaps, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5625, https://doi.org/10.5194/egusphere-egu22-5625, 2022.

EGU22-5636 | Presentations | BG3.22

Extreme drought or heavy rainfall drives plant-soil feedbacks of range-shifting and congeneric native plant species 

Keli Li, Ciska (G.F.) Veen, Jeffrey A. Harvey, and Wim H. van der Putten

One of the consequences of climate change is the frequency of extreme weather incidences, such as extreme drought or heavy rainfall increase. At the same time, climate warming enables certain plant species to expand to higher latitudes. The question is how the frequency of extreme drought or heavy rainfall affects plant-soil interactions of range-shifting plants in the new habitat compared to native residents. We conducted an outdoor mesocosm experiment to study how an extreme drought influenced biomass production of range-shifting and co-occurring congenetic native plant communities in the next year by plant-soil feedback. We found that in soils with a history of extreme drought range-shifting plants produced more shoot biomass. To explore mechanisms in more detail, we set up a greenhouse experiment to condition soils under extreme drought and heavy rainfall. Then, we tested plant-soil feedbacks using Centaurea jacea as native and Centaurea stoebe as range expander. Our results showed during soil conditioning under extreme drought the shoot biomass was decreased, and under extreme wet conditions was increased. This applied to both range expander and native species. At the same time, soil N, P, and K and soil microbial communities had changed in a different manner. Consequently, these soil biotic and abiotic changes might be the main drivers of negative, neutral, positive plant-soil feedbacks of range expanders and natives under extreme weather events, with an impact on plant quality changes and plant-associated herbivore responses. Thus, we show that climate change may influence both plant biomass and aboveground herbivory through altering plant-soil biota interactions.

How to cite: Li, K., (G.F.) Veen, C., A. Harvey, J., and H. van der Putten, W.: Extreme drought or heavy rainfall drives plant-soil feedbacks of range-shifting and congeneric native plant species, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5636, https://doi.org/10.5194/egusphere-egu22-5636, 2022.

EGU22-6123 | Presentations | BG3.22

Climate change induced drought inhibits plant growth in agricultural systems – A lysimeter study 

Julia Miloczki, Judith Prommer, Anna Wawra, Helene Berthold, Johannes Hösch, Herbert Formayer, Weronika Kisielinska, Andreea Spiridon, Rebecca Hood-Nowotny, Heide Spiegel, Andreas Baumgarten, and Andrea Watzinger

Climate models predict an increase in the average temperature, an increase in heat and drought periods in summer and heavier rainfall events for Austria (APCC, 2014; IPCC, 2021). Eventually, advancing droughts can lead to substantial yield losses, which will be more pronounced on soils with low water storage capacity (Eitzinger et al., 2013). Especially in dry regions like the Marchfeld (east of Vienna), Austria’s most productive region for grain and vegetables, this may have severe consequences for food security.

In our study, we investigated the combined effects of different soil types and altered precipitation on the soil-plant-nexus in a lysimeter facility from 2017-2019. This facility consists of 18 gravitation lysimeters representing the three main soil types of the Marchfeld, namely calcaric Phaeozem (Ps), calcic Chernozem (Ch) and gleyic Phaeozem (Pg). Half of the lysimeters were irrigated according to current precipitation patterns and half according to the precipitation pattern predicted for the period 2071-2100 in the Marchfeld region, simulating drought periods and heavy rain events. Spring wheat, spring barley and winter wheat were cultivated in all lysimeters in 2017, 2018 and 2019, respectively. Mustard was cultivated as a cover crop after spring wheat and incorporated as mulch. The following spring barley had substantially higher yields than spring wheat. This might be due to the improved water infiltration and organic matter input provided by the cover crop (Kirchman, 2011) and/or the larger crop damage by animals in 2017. 

Drought events resulted in an average decline of grain yield by 66% (p<0.05) in spring wheat, 40% (p=0.13) in spring barley and 39% (p<0.05) in winter wheat. In all soil types, the yield of winter wheat was higher than of the other crops, which could indicate its ability to make better use of water resources than the spring crops. This underlines the importance of optimizing sowing dates as an adaptation strategy to climate change. The increase of the δ13C value, an indicator for the stomata conductance, in the “predicted” scenario confirmed that drought stress was limiting plant growth.  δ13C values were also higher in the Phaeozem than in the Chernozem, with the first having a lower soil water holding capacity.

In contrast to biomass, nitrogen content of grain did not change between current and predicted precipitation patterns, indicating no impairment of grain quality. Furthermore, the nitrogen use efficiency tended to be higher in the current scenario than in the predicted scenario and was highest for winter wheat. Overall, plant biomass, plant nitrogen content and plant δ15N values were differently affected by soil type, however as there were no significant interaction effects with precipitation, plants responded identically to the precipitation pattern on all soil types, i.e. significant decline in crop production under drought stress.

Our results exemplify the pressing need to develop and implement adaptation strategies in agriculture, taking into consideration local pedoclimatic characteristics. Introducing more resilient crop species, diversifying the crop rotation and increasing the system’s water use efficiency are promising measures that should be investigated further.

How to cite: Miloczki, J., Prommer, J., Wawra, A., Berthold, H., Hösch, J., Formayer, H., Kisielinska, W., Spiridon, A., Hood-Nowotny, R., Spiegel, H., Baumgarten, A., and Watzinger, A.: Climate change induced drought inhibits plant growth in agricultural systems – A lysimeter study, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6123, https://doi.org/10.5194/egusphere-egu22-6123, 2022.

EGU22-6813 | Presentations | BG3.22 | Highlight

Global distribution and climatological temperature sensitivity of soil organic matter fractions differ between observations and models 

Katerina Georgiou, William R. Wieder, Rose Z. Abramoff, Charles D. Koven, William J. Riley, Anders Ahlström, Nicholas J. Bouskill, Melannie Hartman, Adam Pellegrini, Derek Pierson, Benjamin Sulman, Eric Slessarev, Qing Zhu, Jennifer Pett-Ridge, and Robert B. Jackson

Soils contain the largest actively-cycling terrestrial carbon pool, which is itself composed of chemically heterogeneous and measurable pools that vary in their persistence. Fundamental uncertainties in terrestrial carbon-climate feedbacks still depend on the timing, sign, and magnitude of the response of soil carbon, and its underlying pools, to environmental change. However, model comparisons typically focus on benchmarking only bulk soil carbon stocks and climatological temperature sensitivities. Underlying microbial and mineral-associated pools, and their response to global change, have received increasing attention among empirical studies, yet data limitations still hinder benchmarking of these pools and processes in models at ecosystem- to global-scales. Here we examined the distribution of carbon within particulate and mineral-associated fractions across an ensemble of global soil biogeochemical models, and compared model estimates to a global database of soil fractions. We found that, while bulk soil carbon stocks were seemingly comparable in magnitude and geographic distribution across the models and observations, the spread in underlying pools was much more pronounced. Indeed, the ensemble of models varied nearly 6-fold in the proportion of carbon in mineral-associated fractions, and the majority of models greatly underestimated mineral-associated carbon stocks compared to the observations. Latitudinal differences between the models resulted in divergent pool-specific climatological temperature sensitivities, with implications on projections to global change scenarios. Our study elucidates key structural and theoretical differences between models that drive divergent soil carbon projections, and clearly highlights the need to benchmark underlying carbon pools, in addition to bulk soil carbon stocks.

How to cite: Georgiou, K., Wieder, W. R., Abramoff, R. Z., Koven, C. D., Riley, W. J., Ahlström, A., Bouskill, N. J., Hartman, M., Pellegrini, A., Pierson, D., Sulman, B., Slessarev, E., Zhu, Q., Pett-Ridge, J., and Jackson, R. B.: Global distribution and climatological temperature sensitivity of soil organic matter fractions differ between observations and models, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6813, https://doi.org/10.5194/egusphere-egu22-6813, 2022.

EGU22-7946 | Presentations | BG3.22

Redox properties of particulate electron acceptors affect anaerobic microbial respiration under oxygen-limited conditions in floodplain soils 

Meret Aeppli, Aaron Thompson, Christian Dewey, and Scott Fendorf

Mountain floodplains are characterized by spatiotemporal variations in soil redox conditions that arise due to dynamic hydrological and resulting biogeochemical states. Under oxygen-depleted conditions, solid phase Fe(III) can serve as terminal electron acceptor (TEA) in anaerobic microbial respiration. It remains unclear, however, to what degree the redox properties of Fe(III) phases limit rates of anaerobic respiration and hence organic matter degradation. Here, we assess such limitations in iron-rich soils collected across a gradient in native redox states from the Slate River floodplain (Colorado, U.S.A.). We incubated soils under anoxic conditions and quantified electron transfer to TEAs, TEA reactivity toward electrochemical reduction, and CO2 production. Fe(III) reduction occurred together with CO2 production in native oxic soils; no Fe(II) nor CO2 production was observed in native anoxic soils. Initial CO2 production rates increased as the reactivity of TEAs toward electrochemical reduction increased across all soil depths and, thus, native soil redox states. The low redox reactivity of TEAs was likely caused by higher acid-extractable Fe(II) concentrations rather than higher crystallinity of Fe(IIII) mineral phases based on analysis of Fe(III) mineral identity and crystallinity using Mössbauer spectroscopy. Our findings indicate that the low redox reactivity of TEAs limited microbial respiration rates in our incubation experiments. This work advances our understanding of controls on anaerobic microbial respiration and can help anticipate organic matter degradation under future hydrological conditions.

How to cite: Aeppli, M., Thompson, A., Dewey, C., and Fendorf, S.: Redox properties of particulate electron acceptors affect anaerobic microbial respiration under oxygen-limited conditions in floodplain soils, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7946, https://doi.org/10.5194/egusphere-egu22-7946, 2022.

EGU22-8723 | Presentations | BG3.22

Changing snow conditions and shrub expansion alter above- and belowground seasonal dynamics in alpine grasslands 

Arthur Broadbent, Michael Bahn, William Pritchard, Lindsay Newbold, Tim Goodall, Andrew Guinta, Helen Snell, Irene Cordero, Antonios Michas, Helen Grant, David Soto, Ruediger Kaufmann, Michael Schloter, Robert Griffiths, and Richard Bardgett

Climate change is disproportionately impacting mountain ecosystems, leading to large reductions in winter snow cover, earlier spring snowmelt and widespread shrub expansion into alpine grasslands. Yet, the combined effects of shrub expansion and changing snow conditions on abiotic and biotic soil properties remains poorly understood. We used complementary field experiments to show that reduced snow cover and earlier snowmelt have effects on soil microbial communities and functioning that persist into summer. However, ericaceous shrub expansion modulates a number of these impacts and has stronger belowground effects than changing snow conditions. Ericaceous shrub expansion did not alter snow depth or snowmelt timing, but did increase the abundance of ericoid mycorrhizal fungi and oligotrophic bacteria, which was linked to decreased soil respiration and nitrogen availability. Moreover, by combining molecular sequencing, enzyme assays, greenhouse gas flux measurements, soil biogeochemical analyses, and 15N labelling, we show that reduced winter snow cover and shrub expansion alter the seasonal dynamics of plant growth (i.e., net ecosystem exchange and plant N-uptake), with important consequences for the seasonal dynamics of soil microbial communities, their functioning, and alpine biogeochemical cycles. In conclusion, our findings suggest that changing winter snow conditions have cross-seasonal impacts on biotic and abiotic soil properties, but shifts in vegetation can modulate belowground effects of future alpine climate change.

How to cite: Broadbent, A., Bahn, M., Pritchard, W., Newbold, L., Goodall, T., Guinta, A., Snell, H., Cordero, I., Michas, A., Grant, H., Soto, D., Kaufmann, R., Schloter, M., Griffiths, R., and Bardgett, R.: Changing snow conditions and shrub expansion alter above- and belowground seasonal dynamics in alpine grasslands, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8723, https://doi.org/10.5194/egusphere-egu22-8723, 2022.

EGU22-8949 | Presentations | BG3.22 | Highlight

Quantifying soil carbon sequestration by multi-source constraints 

Feng Tao and Yiqi Luo

Soil carbon cycle is a large yet poorly understood component of the global carbon cycle under climate change. The transient behaviour of the soil carbon cycle is fully determined by four elements, which are carbon input, residence time,carbon pool size (or state), and the net carbon flux. Many of the past studies focused on one subset of the four elements to quantify soil carbon sequestration under climate change, often leading to contradictory conclusions. Here we assimilated data of respired soil 14C, soil 14C profile, and soil organic carbon (SOC) profile from Harvard Forest (i.e., a mid-latitude hardwood forest) into a vertically resolved process model (i.e., Community Land Model version 5, CLM5) together with estimated carbon input to fully constrain soil carbon dynamics during 1900 to 2010. Our results suggested litter pools instead of the mineral soil pools contributed to the majority of the carbon sequestration in history. Different sources of constraints effectively informed parameters of their corresponding elements in the soil system. Yet, single data constraints only provided part of the features of soil carbon cycle and cannot lead to a comprehensive interpretation of its historical dynamics. Using 14C data alone as the constraints resulted in overestimated soil carbon residence time and more sensitive responses of soil carbon sequestration to changing climate. In the future, multi-source data constraints from different global databases are essential in understanding soil carbon dynamics and accurately quantifying soil sequestration in response to the changing climate across the globe.

How to cite: Tao, F. and Luo, Y.: Quantifying soil carbon sequestration by multi-source constraints, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8949, https://doi.org/10.5194/egusphere-egu22-8949, 2022.

EGU22-10533 | Presentations | BG3.22

Greenhouse gas fluxes and nutrients availability in Portuguese drylands and their sensitivity to climate change 

Joana Serôdio, María José Férnandez-Alonso, David Fangueiro, Helena Freitas, Jorge Durán, and Alexandra Rodríguez

Drylands are unique and diverse ecosystems that occupy more than 40% of the terrestrial surface. These areas are inhabited by more than 35% of the world population. In the case of Portugal, drylands represent 37% of its territory. In many areas worldwide, climate change (CCh) is increasing the aridity leading to an expansion of drylands. However, the joint effects of different CCh drivers on the features, functions, and services of drylands remain largely unknown. Further, there is large uncertainty on how CCh-driven alterations in biotic and abiotic soil attributes will feedback CCh through greenhouse gas (GHG) fluxes.

This study aims to assess (1) the soil-atmosphere GHG exchange and soil nutrients availability and (2) their response to different CCh scenarios along an aridity gradient made up of 8 humid, arid, and semiarid-natural parks in Portugal. In winter 2019, we installed open top chambers and rainfall shelters (both separately and combined) in 24 plots to simulate the forecasted increase in temperatures (~3 °C) and reduction in precipitation (~35%), respectively. Since then, seasonal field campaigns to collect gas and soil samples as well as to measure in situ nutrients availability have been performed.

Our first data show that soil organic matter and nutrients (N and P) availability decrease along the aridity gradient whereas methanogenesis seems to be constrained along the gradient and there is not a clear response from other GHG to the aridity gradient. Soil respiration was mainly driven by the seasonal variability of soil moisture and temperature. Finally, the different CCh scenarios had their biggest effect on variables with faster turnover and the response of GHG fluxes to different CCh scenarios varied among sites, which highlights the importance of considering other site-dependent ecosystem features when trying to assess the effects of climate change on GHG fluxes.

How to cite: Serôdio, J., Férnandez-Alonso, M. J., Fangueiro, D., Freitas, H., Durán, J., and Rodríguez, A.: Greenhouse gas fluxes and nutrients availability in Portuguese drylands and their sensitivity to climate change, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10533, https://doi.org/10.5194/egusphere-egu22-10533, 2022.

EGU22-10985 | Presentations | BG3.22

Representing microbial activity in a soil decomposition model 

Elin Ristorp Aas, Terje Koren Berntsen, Alexander Eiler, and Heleen de Wit

Complex biogeochemical processes involving vegetation, microbial communities, symbiotic relationships and nutrient cycling determines the rates at which carbon is transferred between the atmosphere and the soils, and eventually the terrestrial carbon storage. Because of these complexities, there are still large uncertainties connected to the representation of the terrestrial carbon cycling in Earth System Models.

An emerging approach to deal with these problems is to explicitly represent microbial pools as well as physically and chemically protected soil organic matter in the model. Based on this, we have developed a soil decomposition process model designed to capture and quantify relationships between soil microorganisms and their environment, focusing on high latitude systems. Our aim with this approach is dual: 1) Testing hypotheses in the model before designing field experiments will help to set up experiments that benefits both understanding of the ecology and improving the model and, 2) Incorporating such a model into an ESM will make it possible to validate the model with observations, and to identify possible climate feedbacks related to the soil dynamics.

The model includes the decomposer activity of saprotrophic fungal and bacterial communities and the symbiotic relationship between mycorrhizal fungi and vegetation. We include separate carbon and nitrogen reservoirs for these microbes, as well as for plant litter and soil organic matter. The transfer of C and N between the reservoirs is based on rate equations using various parameterizations found in literature, and is also transported vertically following a diffusion equation.

The model is forced with litter input and climatic variables from the Community Land Model (CLM5). For calibration and validation we use subsets from a large dataset containing soil profile data for ~1000 forested sites in Norway (Strand et al. 2016). Since the sites are distributed over a large area, they cover climatic gradients in both temperature and precipitation.

Comparisons of C and N content between simulations from the new decomposition model, the standard CLM5 and the observations will be presented, as well as sensitivity tests of different parameter choices and impacts of changes in climate forcing.

How to cite: Ristorp Aas, E., Koren Berntsen, T., Eiler, A., and de Wit, H.: Representing microbial activity in a soil decomposition model, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10985, https://doi.org/10.5194/egusphere-egu22-10985, 2022.

EGU22-11445 | Presentations | BG3.22

Soil CO2 emission in the boreal zone of Central Siberia: raised bog and lichen pine forest ecosystems 

Anastasia Makhnykina, Daria Polosukhina, and Anatoly Prokushkin

The current climate changes exert influence on these ecosystems by changing water supply, temperature regime, plant growing activity and others. Nowadays studies predicted the important role of the northern bogs and peatlands as an additional source of atmospheric CO2. The research area was located in the Krasnoyarsk region, Russia (60° 48’ N, 89° 22’ E) close to the International research station – ZOTTO (http://www.zottoproject.org).  In our study we estimated how microrelief and microclimatic conditions can control the CO2 emission from the bog and forested areas. We compared also the waterlogged bog conditions and forest ecosystem to find out the main drivers of soil emission dynamics during the summer season. The rate of CO2 emission varies widely within the bog area depending on the microrelief of the area: hollow site – 0.74 ±0.03, ridge site – 1.69 ±0.08 kg CO2 m-2. Comparative analysis with the forest area showed that the upland parts of the bog area are not inferior to the forest area in terms of the CO2 emission rate. Moisture conditions determined the CO2 efflux for the hollow site (r=0.49, p<0.05) and forested area (r=0.39, p<0.05). The temperature impact is observed for all sites and it is significant throughout the season. Thus, within a single bog area micrometeorological characteristics of the underline surface during the season significantly control the CO2 emission rates.

 

The research was funded by RFBR, Krasnoyarsk Territory and Krasnoyarsk Regional Fund of Science, project number 20-44-243003.

How to cite: Makhnykina, A., Polosukhina, D., and Prokushkin, A.: Soil CO2 emission in the boreal zone of Central Siberia: raised bog and lichen pine forest ecosystems, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11445, https://doi.org/10.5194/egusphere-egu22-11445, 2022.

EGU22-11645 | Presentations | BG3.22

Disentangling long-term and short-term temperature response of carbon fluxes in a subarctic grassland ecosystem exposed to long-term, geothermal warming 

Linsey M. Avila, Bjarni D. Sigurdsson, Jesper Riis Christiansen, and Klaus Steenberg Larsen

The impact of rising global temperatures on carbon cycling in some of our most sensitive ecosystems, such as the Arctic, is critical yet challenging to quantify because short- and long-term effects of warming may be different. The observed short-term temperature response of soil organic carbon (SOC) decomposition may be altered in the long-term due to changes in substrate availability and possible acclimation of soil communities. 

Testing how the temperature response of soil decomposition changes over time with warming under open-air, field-scale conditions presents another obstacle for researchers, as warming experiments at different temperatures and over long measurement periods are expensive and rare. Fortunately, the ForHot grassland site in Iceland has provided us with a unique opportunity to explore soil warming effects by measuring along a naturally occurring geothermal gradient that resulted from an earthquake back in 2008.

As part of the FutureArctic project at the ForHot site, we collected five replicate soil cores to a soil depth of 5 cm (100cm3 per sample), from fourteen plots along the geothermal gradient spanning a soil warming gradient from 0°C to +80°C. The samples were incubated in the lab at 5, 15, 25, and 35°C, and flux rates of CO2 and CH4 were measured using a LGR-ICOS M-GGA-918 to produce observational Q10 temperature response relationships. 

Temperature response rates and curvature appeared to be driven primarily by substrate availability. Samples containing the greatest totals of carbon and nutrients produced the highest rates of CO2 emission and CH4 consumption at all temperatures. This likely being an effect of the 13 years of warming where organic content and spatial proximity to the hotspot are inversely correlated. From this, we can then present an analysis of the potential linearity or nonlinearity that temperature responses can have over a rather extensive temperature gradient and how these responses can change over time.

Samples collected from the hotspot, where previous in-situ chamber measurements have shown the highest emissions of CO2 and CH4, had significantly lower CO2 emissions and essentially no flux of CH4 during the laboratory incubations. This suggests a significant contribution of geogenic sourcing to in situ measurements. We present an analysis of the potential use for laboratory incubations at different temperatures to infer geogenic/biogenic flux contributions for in situ measurements where geogenic CO2 and CH4 emissions are present. This will allow us to construct a corrected biogenic carbon budget of the ForHot ecosystem and improve our fundamental understanding of the long-term effects that rising temperatures have on the carbon cycle in subarctic ecosystems. 

How to cite: Avila, L. M., Sigurdsson, B. D., Riis Christiansen, J., and Steenberg Larsen, K.: Disentangling long-term and short-term temperature response of carbon fluxes in a subarctic grassland ecosystem exposed to long-term, geothermal warming, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11645, https://doi.org/10.5194/egusphere-egu22-11645, 2022.

EGU22-12663 | Presentations | BG3.22

Soil warming duration and magnitude affects dynamics of fine-roots and rhizomes and C and N pools in belowground biomass in subarctic grasslands 

Biplabi Bhattarai, Bjarni D. Sigurdsson, Páll Sigurdsson, Niki Leblans, Ivan Janssens, Jaak Truu, Marika Truu, Arun Kumar Devarajan, and Ivika Ostonen

Climate predictions for arctic and subarctic regions show a higher rise in surface temperature than the global mean, which will subsequently raise the soil temperature (Ts) in those regions. We investigated the effects of soil warming duration (medium-term (11-yr) vs. long-term (>60-yr) warmed grassland) and magnitude from +0.2 to +6.2 °C on total belowground plant biomass (BPB) as well as in two functional groups: short-living fine-roots and long-living rhizomes in topsoil (0-10cm) and subsoil (10-30cm). We also analyzed the effect of plant community composition on belowground biomass and pools.

Both the duration and the magnitude of soil warming influenced the dynamic of total belowground biomass (BPB) and fine-roots and rhizomes separately. The soil warming effect varied along the soil depths. Both changes in carbon and nitrogen concentration in fine-roots and rhizomes and their corresponding biomass contributed to the significant decline in carbon and nitrogen pool in belowground plant biomass along the warming gradient. The change in the functional structure of the plant community was related to the increase in soil temperature. The proportion of forbs increased towards warmer plots and was related to the change in the BPB and soil chemistry. Our findings underline the importance of a functional approach in root research to understand better the key physiological processes like N and C cycling. We highlight the role of soil chemistry and community changes together with warming (duration and magnitude) in the fine-root and rhizome response to climate change. 

How to cite: Bhattarai, B., D. Sigurdsson, B., Sigurdsson, P., Leblans, N., Janssens, I., Truu, J., Truu, M., Kumar Devarajan, A., and Ostonen, I.: Soil warming duration and magnitude affects dynamics of fine-roots and rhizomes and C and N pools in belowground biomass in subarctic grasslands, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12663, https://doi.org/10.5194/egusphere-egu22-12663, 2022.

EGU22-12825 | Presentations | BG3.22

Temperature and mineralogical effects on decadally cycling mineral associated soil organic matter 

Jeffrey Beem Miller, Craig Rasmussen, Alison Hoyt, Marion Schrumpf, Georg Guggenberger, and Susan Trumbore

Climate and parent material interact to form mineral assemblages that contribute to soil organic matter persistence across a range of time scales. Mineral associated soil organic matter (MAOM, the heavy soil component separated by density fractionation) generally contains more C and persists in soils longer than free or occluded light material. Yet while some MAOM persists for centuries, other forms of MAOM turnover on annual to decadal timescales. In order to predict the response of soil C pools to changes in inputs and decomposition rates under climate change we must be able to distinguish the relatively labile component of this mineral-associated soil C pool from the relatively passive component.

We collected samples in 2001, 2009, and 2019 from 9 sites along a combined gradient of parent material (granite, andesite, basalt) and mean annual temperature (MAT) (6.7°C, 9.1°C, 13.6°C). Mean annual precipitation was similar across all sites (80-130 mm yr-1). We measured the radiocarbon (14C) values of bulk soils, respired CO2, density fractions, and thermal fractions. We used selective dissolution and quantitative x-ray diffraction to determine mineral assemblages. We modeled turnover rates for bulk soil and MAOM using SoilR with C stocks and 14C data as constraints.

Using the difference between respired 14C and bulk 14C as a proxy for soil C protection, we observed a strong negative correlation with poorly crystalline mineral content at all time points, suggesting these secondary minerals play a key role in protecting soil C from decomposition. Poorly crystalline mineral content was greatest in the andesite soils, followed by basalt, then granite soils. Temperature also affected poorly crystalline mineral content, with greater abundances in sites with MAT of 9.1°C than in warmer or colder sites across lithologies.

Mineral assemblages were also related to the change in bulk 14C over time. Between 2001 and 2019, bulk 14C declined 4-5‰ yr-1 faster (p < 0.05) in granite and basalt versus andesite soils at the 9.1°C MAT sites. Within the andesite soils, bulk 14C declined 6‰ yr-1 faster at 13.6°C than 9.1°C (p < 0.05). Overall, slower rates of bulk 14C change were correlated with older mean C ages in the models. When compared within each MAT regime, our models revealed andesite soils to have older mean soil C ages than the basalt or granite soils. Respiration fluxes from these soils were more enriched in 14C than the fluxes from the basaltic or granitic soils, and were also enriched relative to the atmosphere. This indicates active decomposition of older decadally cycling soil C derived from mid-20th century nuclear weapons testing in the andesitic soils but not in the basalt or granite soils.

Measurements of 14C in MAOM and associated thermal fractions (currently underway) will enable us to quantify the relative amounts of MAOM cycling at time scales relevant for improving near-term C budgets not only at our sites, but with implications for improving future models of soil C cycling at broader scales as well. 

How to cite: Beem Miller, J., Rasmussen, C., Hoyt, A., Schrumpf, M., Guggenberger, G., and Trumbore, S.: Temperature and mineralogical effects on decadally cycling mineral associated soil organic matter, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12825, https://doi.org/10.5194/egusphere-egu22-12825, 2022.

As semi-closed ecosystems, biotic and abiotic properties of cave environments are extensively isolated from the impacts of the surface processes, except for a few environmental parameters. Surface climatic parameters (atmospheric CO2 ratio, temperature, and precipitation amount) and vegetation are known with their impact on the environmental parameters such as the CO2 partial pressure, temperature, and humidity of the cave atmosphere. These properties of cave microclimate are defined over a long-term process of balancing all the input and output heat and mass fluxes under the influence of soil temperature, seepage water content and the chemical/physical properties of sinking streams as well as direct air flux from the outside into the cave. While this interaction between the surface and in-cave environmental parameters exerts a key factor on the hydro/geochemical, and microbiological properties of the cave by altering the biotic and abiotic conditions, cave environments can be considered as long-term archives of the consequences of this interaction by being highly sheltered to the surface processes. This relationship between sediment geochemistry, microbiology and environmental conditions is still not fully understood.

In this study, the relationship between bacterial diversity, sediment geochemistry, and microclimate as three major components of cave ecosystems will be examined in cave environments, the relationship between in-cave and surface atmospheric conditions as well. In order to determine the in-cave environmental conditions, micro-climatic (CO2, temperature, humidity) and environmental (cave water pH, alkalinity) parameters were measured during the fieldwork. Sediment and water (drip water, underground river water and pond water) were sampled in two seasons (summer and winter) aseptically as triplet to determine bacterial community composition of these caves. Water, sediment, and speleothem samples from the caves were examined by Inductively Coupled Plasma - Mass Spectrometry (ICP-MS) and Next Generation Sequencing (NGS) methods to reveal the geochemical and metagenomic features. To observe the changes in cave micro-climate for a year-long period, dataloggers were used.

How to cite: Tok, E. and Olğun Kıyak, N.: Beneath the surface: Climatic, Micro-climatic, Geochemical and Microbiological Approach to Karstic Cave Ecosystem, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12918, https://doi.org/10.5194/egusphere-egu22-12918, 2022.

EGU22-13048 | Presentations | BG3.22 | Highlight

Temperature effects on carbon storage are controlled by soil stabilisation capacities 

Iain Hartley, Tim Hill, Sarah Chadburn, and Gustaf Hugelius

Physical and chemical stabilisation mechanisms are now known to play critical roles in controlling carbon (C) storage in mineral soils. This has led to suggestions that climate warming-induced C losses may be lower than previously predicted. However, evidence has also been produced that the decomposition of older, and more protected soil organic matter (SOM) is more sensitive to temperature than unprotected and more rapidly decomposing SOM pools. Thus, the extent to which temperature controls C storage in mineral soils remains controversial, and it is not known whether the C stores in soils with large capacities for stabilising C are more, or less, vulnerable to climate warming than the C stored in soils with more limited stabilisation capacities.

By analysing data on >9,000 soil profiles from the World Soil Information Database, we found that, overall, C storage declines strongly with mean annual temperature. However, we observed very large differences in the effect of temperature on C storage in soils with different capacities for stabilising SOM, as indicated by their textural properties. In coarse-textured soils (clay contents less than 20%) with more limited stabilisation capacities, C storage declined strongly with temperature, decreasing by a factor of 1.6 to 2.0 for every 10 oC increase in temperature. However, in fine-textured soils (clay contents greater than 35%) with greater stabilisation capacities, the effect of temperature on C storage was more than three times smaller. This pattern was observed independently in cool and warm regions, and after accounting for potentially confounding factors including plant productivity, precipitation, aridity, cation exchange capacity and pH. The difference in the effects of temperature on C storage in soils with contrasting stabilisation capacities could not, however, be represented by an established Earth system model (ESM). To reduce uncertainties in projections of the effect of climate change on soil C losses, we suggest that ESMs could be evaluated against their ability to simulate the differences in the effects of temperature on C storage in soils with contrasting textural properties.

In conclusion, our results suggest that there are stabilised pools of SOM in fine-textured soils that may be relatively insensitive to the impacts of climate change, but that less protected pools in coarser-textured soils may be substantially more vulnerable to global warming than currently predicted. Finally, given the mismatches between data and model outputs, ESMs may not be predicting accurately the potential magnitude of soil C losses in responses to climate warming or which stocks are most vulnerable.

How to cite: Hartley, I., Hill, T., Chadburn, S., and Hugelius, G.: Temperature effects on carbon storage are controlled by soil stabilisation capacities, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13048, https://doi.org/10.5194/egusphere-egu22-13048, 2022.

EGU22-13184 | Presentations | BG3.22

Large scale carbon mapping of forest-steppe ecotones using multispectral satellite data 

Oliver Donnerhack and Georg Guggenberger

Environmental changes, such as altered precipitation patterns and temperatures, but also the type of
land management, have strong impact on the vegetation structure and the associated soil carbon
storage. Vulnerable ecosystems that have always grown at the limits of system stability have small
resilience and therefore respond to the smallest changes. This is also true for the forest-steppe
ecotones at the southern border of the Mongolian taiga, with their two subtypes of light and dark
taiga. Due to drought stress, this forest only grows on the northern slopes, where the rate
evapotranspiration is smaller. Climatic change, which is very pronounced in these highly continental
areas, leads to water scarcity and thus to higher drought stress as well as an increased risk of forest
fires. In the forest-steppe ecotone in northern Mongolia, light taiga dominated by Betula is increasingly
spreading into areas previously covered by dark taiga representing coniferous forests dominated by
Pinus and Larix. Since soil organic carbon stocks are known to be related to vegetation, in this study
we aimed at assessing the spatial carbon stocks distribution of different forest-steppe ecotones
characterized by different tree compositions by using a multispectral satellite image approach. Based
on Sentinel-2 data, a supervised random forest classification was carried out using the MSAVI index
and carbon stocks from 50 soil profiles of these sites as training data. For the first time, a mean of
multi-year MSAVI was used to compensate the temporal gap between the actual image of vegetation
vitality and the comparatively inert soil organic carbon. The results were validated by ground truthing
on further 36 soil profile measurements. The validation confirmed the accuracy of the classification
and thus led to a valid area calculation. The map based on the measurement results, which was created
by the use of machine learning, illustrates that the significant differences in the spatial distribution of
the taiga subtypes and their soil organic carbon stocks balance each other out in the areas under
consideration. Since the resulting map could be validated by both soil investigations and field survey
experiences, we assume that the applied remote sensing method can be used as a basis for a realistic
area monitoring of the ecosystem under consideration to calculate the spatial change of the carbon
pool. 

How to cite: Donnerhack, O. and Guggenberger, G.: Large scale carbon mapping of forest-steppe ecotones using multispectral satellite data, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13184, https://doi.org/10.5194/egusphere-egu22-13184, 2022.

EGU22-13214 | Presentations | BG3.22

Experimental drought increased the forest’s belowground sink strength towards temporarily increased topsoil carbon stocks 

Melanie Brunn, Benjamin Hafner, Marie Zwetsloot, Emma Sayer, Nadine Ruehr, Fabian Weikl, Karin Pritsch, Kyohsuke Hikino, Jaane Krüger, Friederike Lang, and Taryn Bauerle

Reduced carbon assimilation by plants and increased net ecosystem exchange are often considered to reduce the overall carbon sink function of drought-stressed ecosystems. However, plants and soil may respond differently under drought, leading to imprecise predictions of carbon sequestration in soil. We determined the net carbon assimilation and related it to soil organic carbon (SOC) stocks as well as to root exudate production to measure belowground carbon investment in mature trees (F. sylvatica and P. abies) exposed to experimental drought for five growing seasons. Despite more than 50 % reduction in net carbon assimilation under drought, SOC stocks increased on average by more than 30 %. The proportion of carbon allocated as root exudates increased two- to threefold under drought. Increasing amounts of carbon in organo-mineral associations suggest increased carbon stability under water-limited P. abies but not under F. sylvatica. Our data indicate that the belowground sink strength increased rapidly for the ecological and economic most relevant tree species in Europe. However, evaluating the ecosystem´s carbon sink strength by using the net ecosystem exchange alone neglects belowground SOC accumulation under drought. Although belowground-invested carbon could contribute to reducing the soil carbon-climate feedback temporarily and may support ecosystem resilience, SOC accumulated primarily in dry mineral topsoil may be vulnerable upon exposure to rewetting events.

How to cite: Brunn, M., Hafner, B., Zwetsloot, M., Sayer, E., Ruehr, N., Weikl, F., Pritsch, K., Hikino, K., Krüger, J., Lang, F., and Bauerle, T.: Experimental drought increased the forest’s belowground sink strength towards temporarily increased topsoil carbon stocks, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13214, https://doi.org/10.5194/egusphere-egu22-13214, 2022.

EGU22-13380 | Presentations | BG3.22 | Highlight

Soils with seasonal climates have highest potential to stabilize carbon by minerals in sub-Saharan Africa 

Sophie F. von Fromm, Sebastian Doetterl, Benjamin Butler, Susan Trumbore, Johan Six, Ermias Aynekulu, Asmeret Asefaw Berhe, Stephan Haefele, Steve McGrath, Keith Shepherd, Leigh Winowiecki, and Alison Hoyt

With climate and land use changes, it is becoming increasingly important to understand not only how much carbon is and will be stored in soils, but also how long this C will remain in soils. Estimates of C age can provide useful information about the timescales on which C will respond to such changes. It is generally accepted that the interaction of climate and soil mineralogy have a strong influence on C age. However, our current understanding is primarily based on findings from temperate regions and from small-scale studies. Large knowledge gaps persist in (sub-)tropical regions where soil processes are often understudied.

Here, we use a systematic continental-scale approach to better understand the processes controlling C age on a larger scale in these understudied soils. In total, 510 samples were analyzed for radiocarbon (Δ14C), consisting of topsoils (0–20 cm) and subsoils (20–50 cm) collected from 30 sites across 14 countries. The sampled soils are part of a comprehensive soil survey (AfSIS) for sub-Saharan Africa, for which soil mineralogy (based on X-ray powder diffraction) and soil chemistry were determined.

Soils with the youngest C ages are generally highly weathered, and are characterized by humid climates, high gross primary productivity (GPP), and a dominance of 1:1 clay minerals. In contrast, older C ages are either found in arid regions characterized by low C inputs and low mineral stabilization, or in seasonal climates, where GPP is high but a portion of the C is stabilized by 2:1 clay minerals and poorly crystalline minerals. Cultivation and erosion appear to play a secondary role at this large scale, but widen the range of C ages.

Our data suggest that soils from seasonal climate zones have the most favorable climatic and pedogenic conditions to stabilize and store C. Yet, they are also the most vulnerable climate zones according to future projections for sub-Saharan Africa. Understanding how the stabilizing minerals will react to climate change is key to understanding short and long-term changes in C storage and stabilization.

How to cite: von Fromm, S. F., Doetterl, S., Butler, B., Trumbore, S., Six, J., Aynekulu, E., Berhe, A. A., Haefele, S., McGrath, S., Shepherd, K., Winowiecki, L., and Hoyt, A.: Soils with seasonal climates have highest potential to stabilize carbon by minerals in sub-Saharan Africa, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13380, https://doi.org/10.5194/egusphere-egu22-13380, 2022.

EGU22-13386 | Presentations | BG3.22

Weathering of soil parent material controls quantity and quality of soil organic carbon in alpine ecosystems 

Maria Moser, Sebastian Doetterl, and Marco Griepentrog

In the global carbon cycle, organic matter in soils represents the major terrestrial pool of carbon, storing roughly twice the amount of carbon as do the atmosphere and vegetation combined. However, under changing environmental conditions, it remains unclear whether soils act as sources or sinks of carbon. Especially soils in alpine ecosystems are subject to undergo changes in their soil organic carbon (SOC) stocks. To disentangle the possible effects of climate change on SOC stocks in alpine environments, the factors which contribute to SOC stabilization have to be known and understood. Recent studies indicated the importance of soil physicochemical parameters governed by weathering of parent material.

To attain a better understanding of how parent material may influence SOC stabilization in alpine ecosystems, five alpine sites in Europe with varying parent material (i.e., Dolomite, Flysch, Gneiss, Greenschist, and Marl) were investigated. Similar climatic conditions, aspect, and slope allowed to analyze the impact of different parent materials on SOC stocks. The geochemical composition of the parent material and the soil, exchangeable cations and effective cation exchange capacity, pH, pedogenic oxides, soil texture, organic carbon and nitrogen contents, and SOC fractions were determined for all soil horizons (i.e., Oh, Ah, Bv, and Cv). The following SOC fractions were physically separated: unprotected, coarse particulate organic carbon (>250 µm), SOC occluded in microaggregates (53 – 250 µm), and SOC in the silt and clay fraction (<53 µm), which is assumed to be predominantly protected via minerals. Linear and non-linear models were computed in order to distill the relative importance of the geochemical parameters on SOC concentrations in the bulk soil (SOCbulk) and the silt and clay fraction (SOCs+c).

Preliminary findings point at the importance of soil depth, texture, and organically complexed oxides as these parameters were found to be among the best predictors for SOCbulk. The concentrations of poorly crystalline aluminum, magnesium, and exchangeable manganese gained importance when predicting SOCs+c. These results align with previous research which has shown the influence of pedogenic oxides on SOC stabilization, Furthermore, the significance of soil depth supports the increasing call of soil scientists to take the entire soil profile into account when analyzing SOC dynamics since large amounts of carbon are stored at depth below the commonly analyzed first 30 cm.

How to cite: Moser, M., Doetterl, S., and Griepentrog, M.: Weathering of soil parent material controls quantity and quality of soil organic carbon in alpine ecosystems, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13386, https://doi.org/10.5194/egusphere-egu22-13386, 2022.

SSS6 – Soil Physics

EGU22-757 | Presentations | SSS6.1

Hydro-pedotransfer functions: A roadmap for future development       

Tobias Karl David Weber and the ISMC Working Group: Pedotransfer functions

Hydro-pedotransfer functions (hyPTF) are used to relate available knowledge about soil properties to soil hydraulic properties and parameters of interest for applications in process models. At least more than four decades have been invested to derive such relationships. However, while models, methods, data storage capacity, and computational efficiency have advanced, there are fundamental issues related to the scope and adequacy of current hyPTFs, particularly when applied to parameterise models at the field scale and beyond. Much of the hyPTF development process has focussed on refining and advancing the methods, while fundamental questions remain largely unanswered, namely i) how should hyPTFs be built (methods) for maximum prediction confidence, ii) which processes/properties need to be predicted to move beyond the van Genuchten-Mualem based parameterisation of the Richards equation, iii) which new datasets and data coverage are needed, iv) how does the measurement process of soil hydraulic properties determine the construction of hyPTFs and at which scale, iv) what is the implication of diverging scales (lab measurements/field to regional scale of application), v) what scaling/modulation/constraining strategies are required to make hyPTF predictions at field-to-regional scale appropriate and physically meaningful, and vi) what is the spatial representativeness? These questions have been addressed in a joint effort by the members of the International Soil Modelling Consortium (ISMC) Pedotransfer Functions Working Group with the aim to systematise hyPTF research and provide a roadmap guiding both scientists and reviewers.

How to cite: Weber, T. K. D. and the ISMC Working Group: Pedotransfer functions: Hydro-pedotransfer functions: A roadmap for future development      , EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-757, https://doi.org/10.5194/egusphere-egu22-757, 2022.

EGU22-2182 | Presentations | SSS6.1

Spatial and temporal variability of soil moisture in land-use legacy forest soils in Brandenburg, Germany 

Anna Schneider, Alexander Bonhage, Alexandra Raab, and Thomas Raab

Soil physical properties can show high heterogeneity in forest soils, implying a high spatial variability of soil moisture and plant water availability. Legacy effects of past land use, resulting in a small-scale mosaic of anthropogenically modified and unmodified soils in forest areas, further increase this spatial heterogeneity. The soils associated with relict charcoal hearths (RCH), most prominently characterized by a technogenic layer rich in charcoal fragments, are a widespread example for such land use legacy soils in forest areas. 

The objective of our study was to characterize the soil moisture regime of forest soils and RCH soils on sandy substrates in the northeastern German lowlands; and in particular to assess the long-term effect of the prolonged summer drought period in 2018 on spatial and temporal variability of soil moisture. We monitored matric potentials, soil water contents and soil temperature from June 2018 in forest soils in the Tauersche Forst (Brandenburg, Germany). Three soil profiles (one reference forest soil profile and two characteristic RCH soil profiles) were instrumented, sampled for laboratory analyses of bulk density, pore size distribution, saturated hydraulic conductivity, and persistence of water repellency; and root density distribution in the profiles was recorded. 

The soils in all profiles show low porosity and plant available water contents. On RCH soils, overall porosity is clearly higher compared with the reference soils, mainly related to larger volumes of coarse and fine pores. Soil moisture monitoring shows very high spatial and temporal variability of the recorded data after the prolonged dry period in 2018, with gradual rewetting over the winter periods and only short-term fluctuations of soil moisture in reaction to high-intensity precipitation events in the summer periods. The comparison of in-situ and laboratory-based water retention data shows strong hysteresis effects during the rewetting, with increasingly clear reactions of soil water contents to precipitation events over the years following the dry period, especially in the charcoal-rich substrates. The differences in soil moisture between the dry and the wetter periods were clearly higher in the RCH soils, which, compared with the reference soils, showed higher water contents under wet conditions and lower water contents under dry conditions. The results affirm that land use legacies can clearly increase the spatial and temporal variations of soil moisture in forest areas.

How to cite: Schneider, A., Bonhage, A., Raab, A., and Raab, T.: Spatial and temporal variability of soil moisture in land-use legacy forest soils in Brandenburg, Germany, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2182, https://doi.org/10.5194/egusphere-egu22-2182, 2022.

Preferential and lateral subsurface flow may be responsible for the accelerated transport of water and solutes in sloping agricultural landscapes; however, the process is difficult to observe. One idea is to compare time series of soil moisture observations in the field with those in lysimeters, where flow is vertically oriented. This study aims at identifying periods of deviations in soil water contents and pressure heads measured in the field and in a weighing lysimeter with the same soil profile. Wavelet Coherency Analysis (WCA) was applied to time series of hourly soil water content and pressure head data (15, 32, 60, 80, and 140 cm depths) from Colluvic Regosol soil profiles in summer 2017. The phase shifts and periodicities indicated by the WCA plots reflected the response times to rain events in the same depth of lysimeter and field soil. For many rain events and depths, sensors installed in the field soil showed a faster response than those in the lysimeters soil. This could be explained by either vertical preferential flow or lateral subsurface flow from upper hillslope positions. Vice versa, a faster sensor response in the lysimeter soil could be indicative for vertical preferential effects. The WCA plots comprise all temporal patterns of time shifts and correlations between larger data time series’ in a condensed form to identify potentially relevant periods for more detailed analyses of subsurface flow dynamics.

How to cite: Ehrhardt, A., Groh, J., and Gerke, H. H.: Wavelet Analysis of Soil Water State Variables for Identification of Lateral Subsurface Flow: Lysimeter versus Field Data, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2256, https://doi.org/10.5194/egusphere-egu22-2256, 2022.

EGU22-2621 | Presentations | SSS6.1

Monitoring and Modelling of Soil Moisture at Characteristic Sites in Lower Franconia (Germany) 

Julian Krause and Birgit Terhorst

The study is part of the European Development Fund-Project “BigData@Geo - Advanced Environmental Technology Using AI in the Web” which aims to develop a high-resolution regional earth system model for the region of Lower Franconia. The present work provides ground-truth data in order to calibrate the modelling approaches with the regional climate model REMO and the regional soil moisture model WaSiM-ETH.

Lower Franconia belongs to those regions in Germany which are expected to be strongly affected by climate change. Regional climate models show that average temperatures will rise and dry periods as well as extreme precipitation events occur more frequently. However, the consequences of changing climate conditions on soils, landscapes as well as on land use are not sufficiently known for Lower Franconia.

Yields of forestry and agriculture depend very much on the availability of soil water. During the growing season the water retention capacity of soils is therefore highly relevant. Up to present, datasets as well as modelling results of future scenarios on soil moisture are only scarcely available on local as well as on regional scale. In order to generate future scenarios, calculation of the soil moisture regime forms the base in order to evaluate present day conditions as well as to develop prognostic studies. As we intend to obtain most realistic parameters, generation of real-time soil moisture data with high temporal resolution at selected sites is crucial. Our monitoring sites are characteristic for Lower Franconia and serve to calibrate regions for modelling approaches.

In order to obtain data on dynamics and causes of soil moisture fluctuations as well as to understand process flows, soil geographical surveys form an essential component of our research design for selected sites related to the monitoring stations. Furthermore, relevant sedimentological and pedological parameters such as grain size distribution, permeability, and bulk density are analyzed in the laboratory. Thus, our representative test sites combine detailed ground-truth data with soil moisture and thus, form consecutive modules as parts of soil moisture models. These modules drive and control the modelling procedures of the sub-projects and they further serve for assessments and calibration of the area-wide hydrological and climate modelling in the “BigData@Geo” ERDF-project.

Based on our data we can provide qualitative soil moisture information to the public, such as precipitation and infiltration thresholds and seasonal patterns. Combined with the real-time availability of the monitoring data via our online platform “Klimaatlas Unterfranken”, we provide valuable information for the shareholders decision making process – regarding for instance plant health, risk assessment during extreme weather events or adapting their businesses to the future climate and soil moisture conditions.

How to cite: Krause, J. and Terhorst, B.: Monitoring and Modelling of Soil Moisture at Characteristic Sites in Lower Franconia (Germany), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2621, https://doi.org/10.5194/egusphere-egu22-2621, 2022.

EGU22-2688 | Presentations | SSS6.1

Are average hydraulic parameters representative? A stochastic analysis of water balance components predicted by a hydrological model 

Quirijn de Jong van Lier, Arthur Klebson Belarmino Dos Santos, and Majken Caroline Looms

Vadose zone hydrological models employing finite difference numerical solutions of the Richards equation allow simulating the movement and predicting the state of soil water and associated quantities in the vadose zone. Robust algorithms are available to perform such simulations and most numerical issues with these have been solved. Parameters describing the relation between hydraulic conductivity K, pressure head h, and water content θ determine the quality of model output. We performed two case studies, one with maize in the southeast of Brazil (São Paulo State) evaluating a wet-year and a dry-year scenario, and one with soybean in the northeast of Brazil (Maranhão State). Parameters of the Van Genuchten-Mualem (VGM) relations were obtained from laboratory evaporation experiments with undisturbed soil samples. The parameter uncertainty was expressed as standard error and correlations between parameters were expressed in a correlation matrix. A previously developed stochastic framework was used to evaluate the outputs of the SWAP hydrological model according to the uncertainty and correlations in the VGM parameters. Performing runs with 105 stochastic realizations per scenario, we evaluated the predictions of evaporation, transpiration, bottom flux, and runoff and their frequency distribution with respective crops at both locations. Results will be discussed and show that no general conclusion can be drawn about the frequency distributions of soil water balance components as a result of the uncertainty of and correlation between VGM parameters. Skewed or multimodal distributions of output parameters are common, and the most commonly performed prediction using the average VGM parameter values does not always agree to the mean or median of stochastic realizations. Users of hydrological models should be aware of this propagation of uncertainty and correlation into the model outputs. The investigation of the representativeness of average VGM parameters in specific scenarios adds to the interpretation of the predictive power of hydrological models.

How to cite: de Jong van Lier, Q., Dos Santos, A. K. B., and Looms, M. C.: Are average hydraulic parameters representative? A stochastic analysis of water balance components predicted by a hydrological model, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2688, https://doi.org/10.5194/egusphere-egu22-2688, 2022.

EGU22-2914 | Presentations | SSS6.1

Assessment of a low-cost Handheld Vector Network Analyzer to Measure the Broadband Complex Permittivity of Soils 

Juan D. González-Teruel, Scott B. Jones, David A. Robinson, Jaime Giménez-Gallego, Raúl Zornoza, and Roque Torres-Sánchez

Soil moisture is of major relevance in agricultural and environmental monitoring, having a direct impact in crop growth and yield, and playing an important role in soil conservation and landscape management. Several well-known techniques are widely used to determine soil moisture, but dielectric methods are notable for their automation potential and integration in monitoring and irrigation control systems. Measurement of dielectric properties in moist porous substances, such as soils, has been shown to provide reliable estimation of water content. However, frequency domain dielectric spectroscopy seems to reveal information about other useful physicochemical properties of soils. Dielectric spectroscopy measurements are normally restricted to laboratory setups and limited for low budgets due to the high cost, bulk and weight of the equipment. We evaluated the performance of a low-cost, handheld, open-source VNA (Vector Network Analyzer) for the measurement of the complex permittivity of soils in the 1 MHz to 900 MHz frequency range. The tested device was compared with a commercial model using a low-cost, self-manufactured, open-ended coaxial probe to measure the broadband dielectric properties of organic liquids. An empirical method based on known dielectric properties of standard fluids was used to calibrate the probe. The tested low-cost VNA paired with the experimental probe was found to provide accurate and reliable measurements of the broadband complex permittivity from 50 to 700 MHz. The broadband complex permittivity of mineral soils of varied textures was obtained for a range of bulk densities and water contents from dry to water-saturated conditions.

How to cite: González-Teruel, J. D., Jones, S. B., Robinson, D. A., Giménez-Gallego, J., Zornoza, R., and Torres-Sánchez, R.: Assessment of a low-cost Handheld Vector Network Analyzer to Measure the Broadband Complex Permittivity of Soils, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2914, https://doi.org/10.5194/egusphere-egu22-2914, 2022.

EGU22-4330 | Presentations | SSS6.1

The influence of temperature on soil complex dielectric permittivity in the 0.02 – 3 GHz frequency range 

Agnieszka Szypłowska, Arkadiusz Lewandowski, Marcin Kafarski, Justyna Szerement, Andrzej Wilczek, Jacek Majcher, and Wojciech Skierucha

Dielectric properties of soil are often utilized for the purpose of soil moisture measurement. However, the relations between soil complex dielectric permittivity and volumetric water content depend also on other factors, such as the operating frequency of the sensor, soil texture, and temperature. The goal of the presented work is to examine the impact of temperature in the 0.5 – 40°C range on the complex dielectric permittivity spectrum of two soils of silt loam and loamy sand textures. The permittivity spectra were measured in a coaxial transmission-line cell system with the use of a Copper Mountain R60 one-port vector-network-analyzer in the frequency range from 20 MHz to 3 GHz. The relations between the real part of dielectric permittivity and soil volumetric water content were modeled at each examined frequency and the temperature dependence of the applied model parameters was determined. In the future research steps, the obtained relations will be applied and tested with the use of a prototype field soil moisture probe operating in a broadband frequency range.

 

The research has been supported by the Polish National Agency for Academic Exchange under Grant No. PPI/APM/2018/1/00048/U/001. The soil dielectric spectra have been obtained in the scope of the project No. 2014/15/D/ST10/04000 financed by the Polish National Science Centre (NCN).

How to cite: Szypłowska, A., Lewandowski, A., Kafarski, M., Szerement, J., Wilczek, A., Majcher, J., and Skierucha, W.: The influence of temperature on soil complex dielectric permittivity in the 0.02 – 3 GHz frequency range, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4330, https://doi.org/10.5194/egusphere-egu22-4330, 2022.

EGU22-5548 | Presentations | SSS6.1

The effect of dynamic-unconfined loads on soil bearing capacity and hydraulic conductivity 

Nicolás Riveras Muñoz, Osvaldo Salazar, Steffen Seitz, Thomas Scholten, and Oscar Seguel

Bearing capacity (BC) can explain mechanical soil quality, but its alteration generally comes accompanied by changes in other soil functions. One way to determine BC is by compression tests on undisturbed soil samples, where increasing normal loads are applied at the surface of confined soil core cylinders. Nevertheless, in natural conditions soils are semi-confined, allowing the soil particles to move upward to release the applied forces. Furthermore, in agricultural soils, the loads are primarily dynamic, such as the traffic of machinery or cattle. In this study, we hypothesized that the application of dynamic loads on unconfined soils is more detrimental than static loads, reflected as a decrease in the functionality of two agricultural soils under conventional tillage management. For this purpose, static and dynamic pre-compression tests to determine BC were evaluated in 2 soils, 2 depth levels, and 2 levels of mechanical resistance (8 treatments in total), using semi-confined cylinders, complemented with measurements of saturated hydraulic conductivity (Ks) as an indicator of pore functionality before and after loading. When comparing the dynamic with the static test, it showed no changes in BCwhich was reflected in a homogenization under the studied conditions.. Nevertheless, an increase in Ks from 66 cm h-1 in the initial condition, to 186 cm h-1 in static condition, and 295 cm h-1 in the dynamic test could be shown. The increase in the dynamic test contradicted our initial assumption and could be attributed to cracking of the soils, boosted by the partial confinement of the samples, which allowed sideways movement of the soil against the loads creating zones of preferential flow.

How to cite: Riveras Muñoz, N., Salazar, O., Seitz, S., Scholten, T., and Seguel, O.: The effect of dynamic-unconfined loads on soil bearing capacity and hydraulic conductivity, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5548, https://doi.org/10.5194/egusphere-egu22-5548, 2022.

EGU22-5682 | Presentations | SSS6.1

Predicting regional soil moisture dynamics using machine learning techniques and a dense observational network 

Nima Shokri, sahar Bakhshian, Negar Zarepakzad, Hannes Nevermann, Cathy Hohenegger, and Dani Or

Soil moisture has a direct impact on ecosystem functioning, vegetation and crop production, environmental health and affects the stability of rural communities. Soil moisture plays a crucial role in all aspects of land-atmosphere interactions including extreme events such as heatwaves, droughts and floods. The highly localized and complex nature of soil moisture present a major challenge to its accurate estimation. Notwithstanding recent advances in satellite-based monitoring, the temporal and spatial resolution and shallow observation impede their application to mechanistic modeling and to highly resolved applications. Motivated by the importance of soil moisture on many hydrologic processes, the objective of the present study is to develop a predictive tool capable of describing the relationship between soil moisture and a wide range of climatic and soil related parameters. Within this context, we report a dense in-situ measurement networks that offer valuable ground truthing supplemented by physics informed machine learning (ML) techniques. We conducted a detailed observational campaign covering 100,000 m2 in Falkenberg in Germany by deploying a dense network of sensors to measure soil moisture (at 29 locations), ambient temperature and relative humidity, wind speed, near-surface radiation fluxes and soil temperature. We also determined soil characteristics and important properties (e.g., particle size distribution). We used static and dynamic climatic and soil-related predictors (covariates) for training the ML models to capture the complex relationship between the soil moisture and predictor covariates. Following Hassani et al. [2020], we employ different ML algorithms for model training to evaluate their performance in forecasting soil moisture dynamics in space and time using rigorous cross-validation. This work will shed new lights on the interaction and relationship between soil moisture dynamics and a variety of climatic and soil parameters.

 

Reference

Hassani, A., Azapagic, A., Shokri, N. (2020). Predicting Long-term Dynamics of Soil Salinity and Sodicity on a Global Scale, Proc. Nat. Acad. Sci., 117(52), 33017-33027, doi.org/10.1073/pnas.2013771117

How to cite: Shokri, N., Bakhshian, S., Zarepakzad, N., Nevermann, H., Hohenegger, C., and Or, D.: Predicting regional soil moisture dynamics using machine learning techniques and a dense observational network, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5682, https://doi.org/10.5194/egusphere-egu22-5682, 2022.

EGU22-5693 | Presentations | SSS6.1

Validation of profile probe for measurement of soil moisture in an Internet of Things system 

Andrzej Wilczek, Marcin Kafarski, Jacek Majcher, Agnieszka Szypłowska, Arkadiusz Lewandowski, and Wojciech Skierucha

The study of water transport in the vadose zone is difficult to describe because of the variety of phenomena determining changes in soil moisture. A profile probe can be a tool that can help in the analysis of topsoil moisture. However, in order to analyse phenomena at different scales, it is necessary to integrate many probes in one system.

The aim of this work was to develop a solution to collect soil moisture and temperature data and visualise them in a user-friendly way. The use of cloud technologies and the Internet of Things IoT provided easy integration to enable further scaling of similar solutions. The developed solution based on TDR probes and the PTDT profile probe allowed the collection of data for analysis for over a year. Tests indicate that the system can be used to study water transport (dynamic moisture changes) associated with precipitation, evaporation or capillary rise. Additional temperature analysis allows the determination of soil frost depth. The current deepening water deficit and intensifying climate change indicate the need to accelerate work related to the implementation of such soil moisture monitoring systems.

Acknowledgments: The research was supported by the Polish National Agency for Academic Exchange under Grant no. PPI/APM/2018/1/00048/U/001.

How to cite: Wilczek, A., Kafarski, M., Majcher, J., Szypłowska, A., Lewandowski, A., and Skierucha, W.: Validation of profile probe for measurement of soil moisture in an Internet of Things system, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5693, https://doi.org/10.5194/egusphere-egu22-5693, 2022.

EGU22-6597 | Presentations | SSS6.1

A Framework for Standardizing Electromagnetic Water Content Sensor Assessment using Granular Porous Media 

Scott B. Jones, Chieh-Yun Chang, Juan D. González-Teruel, David A. Robinson, Shmulik P. Friedman, Agnieszka Szyplowska, and Wojciech Skierucha

Electromagnetic (EM)-based sensors used for water content determination are now being widely used across the globe in research, environmental monitoring networks, weather stations, irrigation management, feed and grain quality control in addition to a host of other applications. The multi-million-dollar EM sensor market continues to expand and yet lacks test standards and is generally lacking in information about sensor quality and performance. Decades of past sensor assessments have presented mixed testing approaches and a commensurate measure of mixed results. Confusion regarding EM sensor-function, -failure rate and -value, stems from testing results that often use non-standard targets including inhomogeneous (variable density and water content) and complex materials (e.g., soils) that may not be widely available for subsequent testing and verification by others. Electromagnetic sensors employ time- or frequency-domain measurements to estimate real (and sometimes including imaginary) permittivity and electrical conductivity, with different sensors measuring at varied and often unknown frequencies. Sensor output is affected by environmental impacts on circuitry (temperature) combined with effects of porous medium temperature, electrical conductivity, interfacial polarization and dielectric relaxation, all of which often combine to alter the apparent permittivity and resulting water content. Although a few attempts have been made to standardize testing, more work and research is required before an international standard can be recognized and adopted. Here we point to standardizing 1) granular porous test media, 2) media packing approaches and 3) permittivity-water content calibration functions with examples and comparison of different EM sensors.  

How to cite: Jones, S. B., Chang, C.-Y., González-Teruel, J. D., Robinson, D. A., Friedman, S. P., Szyplowska, A., and Skierucha, W.: A Framework for Standardizing Electromagnetic Water Content Sensor Assessment using Granular Porous Media, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6597, https://doi.org/10.5194/egusphere-egu22-6597, 2022.

EGU22-8062 | Presentations | SSS6.1

Soil Hydraulic Properties and Water Flow Estimation Using Uni- and Bimodal Porosity Models in Erosion-Affected Hillslope 

Vilim Filipović, Jasmina Defterdarović, Vedran Krevh, Lana Filipović, Ivan Magdić, Hailong He, Amir Haghverdi, and Horst H. Gerke

Soil degradation processes, such as erosion, has been reported as one of the main concerns in agricultural areas. The resulting erosion-affected soils are characterized by modified soil hydraulic and other properties, strongly affecting the agricultural productivity. The study objective was to identify hydropedological factors controlling soil water dynamics in erosion-affected hillslope vineyard soils and to test uni- and bimodal porosity models. The hydropedological study was conducted at three locations: Jastrebarsko (location I), and Jazbina (II) and (III). The selected sites had same agricultural management practices and similar slope with identified Stagnosol soil type. Soil Hydraulic Properties (SHP) were estimated using Evaporation and WP4C methods on intact soil cores while the soil hydraulic functions were fitted using uni- and bimodal porosity models in HYPROP-FIT software. The study illustrated that erosion-affected soil structural properties governing hillslope hydrology in the arable landscape, in this case, vineyards, were evident and had a significant impact on SHP and, consequently, soil water dynamics. Both unimodal and bimodal soil hydraulic models fitted the data agreeably; although, it can be clearly noticed that the bimodal model performed better in particular cases where data showed non-uniform pore size distributions. HYDRUS-1D simulations showed, in general, that both models provided a similar distribution of flux components between infiltration, surface runoff, and drainage (bottom flux) in most cases. Overall, the differences generated when using the bimodal hydraulic functions can lead to a large discrepancy in water flow quantification. It is evident that the SHP and water dynamics in highly erosion-affected heterogeneous soils with developed structure and pore space (e.g., compacted soil with cracks and biopores) cannot be adequately explained using the unimodal porosity functions or by applying single porosity models. However, the validity of more complex approaches should be further tested, and parametrization should be performed with extra care, as using the non-appropriate model can lead to errors in the water balance.

How to cite: Filipović, V., Defterdarović, J., Krevh, V., Filipović, L., Magdić, I., He, H., Haghverdi, A., and Gerke, H. H.: Soil Hydraulic Properties and Water Flow Estimation Using Uni- and Bimodal Porosity Models in Erosion-Affected Hillslope, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8062, https://doi.org/10.5194/egusphere-egu22-8062, 2022.

EGU22-8405 | Presentations | SSS6.1

Soil moisture probes for mobile irrigation machines 

Marcin Kafarski, Majcher Jacek, Wilczek Andrzej, Szypłowska Agnieszka, Lewandowski Arkadiusz, and Skierucha Wojciech

The necessity of saving water is a very important issue in precision agriculture. It requires soil moisture monitoring of very large field areas. Soil moisture maps obtained in real time are very useful for proper and economic irrigation.

The soil moisture sensor market is very large. Sensors differ in accuracy, price, measurement speed, etc. However, typical soil moisture sensors are designed for fixed installation or manual insertion. The aim of this work was to present sensors which have high accuracy, high speed of measurement and high mechanical strength required for field mapping performed by an automated platform, which makes hundreds or thousands measurements at a given field. In addition to the aforementioned properties, the sensors should have a big sensitivity zone, which would minimize the impact of air gaps, stones, roots and soil local heterogeneity on moisture measurement results. The presented results involve the design of the sensors and laboratory verification of their performance.

Acknowledgments: The research was supported by the Polish National Agency for Academic Exchange under Grant no. PPI/APM/2018/1/00048/U/001.

How to cite: Kafarski, M., Jacek, M., Andrzej, W., Agnieszka, S., Arkadiusz, L., and Wojciech, S.: Soil moisture probes for mobile irrigation machines, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8405, https://doi.org/10.5194/egusphere-egu22-8405, 2022.

EGU22-8760 | Presentations | SSS6.1

A novel fitting procedure for soil hydraulic properties with improved parameter uncertainty assessment 

Leonardo Inforsato, Quirijn de Jong van Lier, and Wolfgang Durner

Equations for soil hydraulic properties are used to numerically solve the Richards equation. Uncertainties in the parameters that compose these mathematical models propagate into simulation results and their quantification is important. Parameter fitting is usually done using measured data of conductivity (K), matric potential (h), and/or water content (q). Solvers that use derivatives in the fitting process estimate the parameter uncertainties based on the Hessian matrix and the covariance matrix. This procedure considers the uncertainties of the parameters have a normal distribution, and the precision of the parameter predictions are expressed as standard deviations and correlated by a correlation matrix. This approximation is acceptable when reliable data is available, but it is not true for scenarios with higher uncertainties in the original data. We developed a new method to fit the most commonly used models for the q, h, K relationships with a sigmoidal function for the q – h retention function. To approach the parameter uncertainty distribution to a normal distribution, a transformation is applied to the parameters and bootstrapping is used to generate the parameter uncertainty distribution. The transformation shows a better performance according to Shapiro‑Wilk and D'Agostino's test. Another improvement was obtained by using two arbitrary points instead of qs and qr to anchor the retention function. When the two anchoring points are selected within the range of the measured data used for the regression, a lower uncertainty for the fitted parameters resulted. The choice of the anchoring points also impacted the correlation matrix.

How to cite: Inforsato, L., de Jong van Lier, Q., and Durner, W.: A novel fitting procedure for soil hydraulic properties with improved parameter uncertainty assessment, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8760, https://doi.org/10.5194/egusphere-egu22-8760, 2022.

Efficient 1.5-D hillslope model using 1D Richards' and 1D Boussinesq equations coupled by the Method Of Lines

 

Robert Mietrach, Thomas Wöhling

 

Abstract

 

Modeling lateral subsurface flow at the hill slope scale by considering the full 2D or 3D spacial domain can be quite complex from a computational point of view. To reduce simulation times a new prototype model consisting of a set of 1D Richards' equations linked with the Boussinesq equation is presented.

 

The Method Of Lines approach to solving the Richards' equation has already been shown to be an efficient and stable alternative to established solution methods, such as low-order finite difference and finite element methods applied to the mixed form of Richards' equation. Besides its beneficial properties in numerical challenging scenarios, the Method Of Lines approach allows for easier integration of additional differential equations which proves advantageous here, when integrating the Boussinesq equation into the combined model. In the combined model it is assumed that lateral flow primarily happens at soil layer interfaces. The Boussinesq equation is than used to link the 1D columns at these soil layer interface nodes in the lateral direction. Thus enabling water transport between adjacent columns and therefor along the hillslope. In an analog procedure it would be possible to extend the presented model to also simulate for surface runoff.

 

Simulations for several synthetic setups have been carried out and compared to solutions to the full 2D problem from the software Hydrus. The results show good agreement between the two approaches, with the benefit of reduced simulation times and increased numerical stability of the presented model.

How to cite: Mietrach, R. and Wöhling, T.: Efficient 1.5-D hillslope model using 1D Richards' and 1D Boussinesq equations coupled by the Method Of Lines, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10017, https://doi.org/10.5194/egusphere-egu22-10017, 2022.

EGU22-11106 | Presentations | SSS6.1

A method for 3D mapping of sub-resolution porosity from X-ray tomography images 

Mats Larsbo, Jumpei Fukumasu, and Johannes Koestel

Sub-resolution pore space is increasingly being accounted for in Lattice-Boltzmann models of water flow and solute transport. However, robust methods to estimate the permeability and porosity of sub-resolution voxels in 3D X-ray images, which are needed for model parameterization are lacking. The grey-value of a voxel in a 3D X-ray tomography image is approximately proportional to the density. Since the density in a voxel depends on the volume fractions of solids, air and water, and the densities of these phases, a grey-value cannot be directly translated to a porosity value. The objective of this study was to develop a reliable method for 3D estimation of sub-resolution porosity in undisturbed soil samples using data obtained from standard industrial X-ray tomography images. To achieve this we used the differences in X-ray attenuation between samples saturated with water and saturated with a potassium iodide (KI) solution.

We collected ten intact soil cores (5.5 cm high, 6.5 cm diameter) in aluminium cylinders from the topsoil of an arable field in south-west Sweden. The samples had a large variations both in soil texture and organic carbon content. The samples were scanned using X-ray tomography after being slowly saturated with water from the bottom. The water was then replaced by a KI solution (30 g I L-1) with a larger X-ray attenuation than water, and the samples were scanned a second time. The grey-values of the resulting 3D images were scaled by the known densities of air, water and aluminium and the images were registered (i.e. spatially aligned). Macropores, sand grains and gravel were then removed from the images. The difference in attenuation between the two final images was then used to calculate the sub-resolution porosity (i.e. the degree of saturation) in all voxels in the remaining image of the soil matrix. Average porosities for individual samples, which were in the range 0,34­–0.45, were significantly correlated to matrix porosities estimated from soil water retention measurements.

How to cite: Larsbo, M., Fukumasu, J., and Koestel, J.: A method for 3D mapping of sub-resolution porosity from X-ray tomography images, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11106, https://doi.org/10.5194/egusphere-egu22-11106, 2022.

Soil aggregates fracture through the coalescence of internal macropores (cracks), forming smaller fragments that change pore structure characteristics. Many studies have measured soil aggregate fracture with laboratory tests, but the impact of internal pore structure has remained elusive in the black box of soil.  This study, which is the first of its kind, uses Xray micro-CT imaging, mechanical measurement experiments and finite element simulations to investigate the relationship between soil pore-scale topology and aggregate mechanical properties including fracture energy. The soil aggregates came from a red soil (Acrisols) experimental field in Jiangxi, China that had been amended with different amounts of manure and lime. From Xray micro-CT, quantitative topology analysis extracted the pore network extraction method. Then the strain-stress relationship and fracture energy of the scanned aggregate were measured using a loading frame. The micro-CT images are used as geometry inputs to perform finite element methods to calculate effective Young’s modulus and detailed strain-stress distribution at micrometers. The experimental results showed that adding manure increased the elastic stiffness and fracture energy of the aggregate. The pore scale strain-stress distribution analysis from finite element simulations found these properties at aggregate scale were weakly correlated to bulk porosity but driven by the stress intensity distribution of the aggregates, agreeing with previous research on model soil structures.

How to cite: Qu, R., Zhou, H., and Hallett, P.: Micron-scale mechanical properties of soil aggregates amended with manure: experimental evidence and image-based finite element simulations, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12291, https://doi.org/10.5194/egusphere-egu22-12291, 2022.

EGU22-12687 | Presentations | SSS6.1

Modelling effects of land use intensification and soil management practices on field water cycles and water use efficiency in Bangalore, India 

Albara Almawazreh, Daniel Uteau, Andreas Buerkert, and Stephan Peth

Over the last decades the rapid expansion of the city of Bangalore and the associated population growth led to changes in agricultural management practices, which resulted in an increase in irrigated areas compared to rain-fed areas and enhanced use of mineral fertilizers.

To analyse the long-term impact of this transformation on soil properties and the water cycle, two sets of plot trials (rainfed and irrigated) were established at the University of Agricultural Sciences Bangalore (UASB) GKVK campus. Lablab (Lablab purpureus L. Sweet), finger millet (Eleusine coracana L.Gaertn.) , and maize (Zea mays L.) three crops common to the region were sown and treated with three species-specefic levels of N fertilizer (high, medium, low). A soil moisture network consisting of 216 sensors was installed at the rainfed and irrigated sites at three depths (15, 40 and 70 cm). Soil moisture data has been collected since 2017 and is used to calibrate and validate a 1D Richards-based model HYDRUS-1D. The results of the analysis of variance (ANOVA) of the moisture data indicate significant differences in the water uptake of maize and millet crops in the wet seasons, but smaller differences over dry seasons. The initial modeling results confirm the statisticals findings, with millet plots under higher N treatments having higher water uptake and less evaporation than the low N treatment plots, while the differences in lablab plots are negligable.The modelling will, however, continue over both wet and dry seasons to assess how limited amounts of water would affect the differences between N treatments.

How to cite: Almawazreh, A., Uteau, D., Buerkert, A., and Peth, S.: Modelling effects of land use intensification and soil management practices on field water cycles and water use efficiency in Bangalore, India, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12687, https://doi.org/10.5194/egusphere-egu22-12687, 2022.

Agricultural soil structure can vary markedly over a growing season, whether it be from the slumping of seedbeds in cultivated soils or the action of plants and weather under zero-tillage.  Water retention and transport properties therefore also vary over the growing season, with implications to hydrological processes, crop water availability and ecosystem processes such as carbon cycling. Collecting water retention data is time-consuming and expensive, with most studies relying on one time point.  To overcome this constraint, we explored whether the simpler to obtain measurements of bulk density or macroporosity could predict the temporal dynamics of the soil water retention curve (SWRC) in field soils. Using soil samples compacted in the laboratory, Assouline (2006) developed a model to predict the soil water retention curves of compacted soils using only bulk density of the compacted soil and the parameters of the SWRC of a previous compacted state. In this work, we tested the workability of Assouline (2006) model for field conditions using data obtained from two tillage experiments on contrasting soil textures (loamy sand and clay loam) in the UK. We also developed a new model using macroporosity to predict the temporal dynamics of the SWRC. Data obtained for the sandy loam (SL) soils were for the following tillage treatments:  Zero Tillage (ZT-SL), non-inversion Shallow Tillage (ST-SL), Plough (P-SL) and Compacted (C-L) while those of the clay loam soils were non-inversion Shallow Tillage (ST-CL) and Deep Tillage (DT-CL), and Plough (P-CL) with 9 replications for each treatment. For the sandy loam soils, SWRCs at Timepoint 2 (August - post harvest) were predicted from the parameters of SWRCs at Timepoint 1 (May – 1 month post cultivation). SWRCs predictions for the clay loam soils at Timepoints 2 (August – post harvest) and 3 (September – post cultivation) were achieved using the parameters of Timepoint 1 (April – post winter) while those of Timepoint 3 were obtained with the parameters of Timepoint 2. For the sandy loam soils, very good fits of the SWRC were obtained with either the bulk density or macroposity model. The bulk density model had R2 ranging from 0.907 to 0.950 and RMSE ranging from 0.052 and 0.092.  The macroporosity model performed slightly better, with R2 ranging from 0.914 to 0.953 and RMSE ranging from 0.049 to 0.054.  For the clay loam soil, the bulk density model had R2 ranging from 0.824 to 0.876 and RMSE ranging from 0.105 to 0.077, while the macroporosity model had R2 ranging from 0.821 to 0.881 and RMSE ranging from 0.086 to 0.065. Both models worked better for sandy loam than clay loam soil. The macroporsity based model provided a more accurate prediction than the bulk density model, particularly at predicting time-dependency at the wet end of the SWRC.  This is very early research that will continue to explore whether simple parameters that are practical to collect in the field can aid predictions of the SWRC over time.

How to cite: Utin, U., Hallett, P., Geris, J., and Smith, J.: Can the temporal dynamics of soil water retention on agricultural land be predicted from the simple time-dependent parameters bulk density or macroporosity?, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12709, https://doi.org/10.5194/egusphere-egu22-12709, 2022.

EGU22-13065 | Presentations | SSS6.1

Dynamics of freezing and thawing of water in saturated sand and soil: Magnetic resonance imaging study 

Michal Snehota, John Koestel, Andreas Pohlmeier, Tomas Princ, Martina Sobotkova, Milena Cislerova, and Jan Sklenar

Magnetic resonance imaging (MRI) of the freezing and thawing process was performed on a series of repacked samples of sand, soil, and sand-soil mixture. The freezing/thawing is performed in the sample container placed inside the vertical bore MRI scanner within the 66 mm inner diameter of the radiofrequency coil. The sample container was vacuum insulated from the sides and bottom to allow for the minimum thickness of the insulation layer. The vacuum was constantly maintained by a vacuum pump. The sample assembly was built from PMMA and other nonmetallic - MRI compatible materials. A porous material in the sample container was cooled at the top by the flow of cold gaseous nitrogen released from the liquid nitrogen stored in the Dewar flask. The cooling took place across the glass plate positioned at the top of the sample in the headspace above the sample. The temperature of the gas that was delivered to the headspace and leaving the headspace was monitored. Additionally, the temperature was monitored in the headspace above the glass disk and directly in the glass disk by fiber optics temperature probes. A 4.7 T magnet at the FZJ was used for MRI. Multiple-Slice Spin-Echo and Zero Echo Time pulse sequences were utilized. The contrast between the frozen and unfrozen water is given by the difference in T1 and T2 relaxation times. The time-lapse 3D imaging was done during the entire course of the experiment. Once the freezing front reached the bottom of the sample, the thawing process was induced. The small changes in sand structure as a consequence of volumetric ice-water changes were studied. The spatiotemporal analysis of the freezing front advancement and frozen water volume has been performed. The data are available for the development of two-phase ice-water simulation models.

How to cite: Snehota, M., Koestel, J., Pohlmeier, A., Princ, T., Sobotkova, M., Cislerova, M., and Sklenar, J.: Dynamics of freezing and thawing of water in saturated sand and soil: Magnetic resonance imaging study, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13065, https://doi.org/10.5194/egusphere-egu22-13065, 2022.

EGU22-1350 | Presentations | SSS6.3 | Highlight

New approach to water content measurements in soil core using microwave probing 

Pierre Sabouroux, Floriane Sparma, and Agnieszka Szypłowska

Abstract – A new approach for water content determination in an in situ soil at depths ranging from the soil surface down to a few meters in soil profile is under development. The concept of this method is based on a core drill that will be equipped with a multi-probe sensor working at  radio and  microwave frequencies. The objective of the presented research focuses on the study of the multi-probe sensor that was carried out on sandy soils and clay.

This solution is based on reflection and transmission measurements using several probes arranged on the circumference of a metal tube. The use of various probes allows us on one hand to detect thresholds of the water in soil and on the other hand to diagnose the homogeneity of the material under test. This sensor is incorporated in a test bench composed of a VNA and a Switch Matrix that allows the VNA to connect with the 6 probes of the sensor. The measurements are the reflection of each probe and the transmission between two identified probes in a band of frequencies between 100MHz and 12GHz.

The first series of measurements with the multiprobe sensor was carried out on sand containing 0 to 20% water with increments of 5%. From the reflection coefficient values of each probe and the transmissions between two respective probes, we were able to verify the variation related to the increase of the water content in the sand. This determination of the water content is made from the modulus of the reflection coefficient and the different cases of transmissions between two probes.

In conclusion, a new concept of a multi-probe sensor, for the determination of a soil moisture profile in the relatively loose and homogeneous sandy and clayey soil has been developed and tested. Thus, we were able to evaluate thresholds of water content in the sand of around 5% with this sensor. In order to continue the study of the sensor, we now plan to test more complex soils, but especially to extrapolate this multi-probe sensor to a system using a core drill to increase the depth of testing. This is a solution to characterize soils without sampling them. Especially, it is hoped that with the developed sensor a soil profile can be measured down to several meters in depth.

Acknowledgment : This work has been supported by the Polish National Agency for Academic Exchange under Grant No. PPI/APM/2018/1/00048/U/001.

How to cite: Sabouroux, P., Sparma, F., and Szypłowska, A.: New approach to water content measurements in soil core using microwave probing, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1350, https://doi.org/10.5194/egusphere-egu22-1350, 2022.

EGU22-1385 | Presentations | SSS6.3

BEST-WR for the hydraulic characterization of hydrophilic and water-repellent soils 

Simone Di Prima, Ryan D. Stewart, Majdi R. Abou Najm, Ludmila Ribeiro Roder, Filippo Giadrossich, Rafael Angulo-Jaramillo, Deniz Yilmaz, Pier Paolo Roggero, Mario Pirastru, and Laurent Lassabatere

Water-repellent soils usually experience water flow impedance during the early stage of a wetting process followed by progressive increase of infiltration rate. Current infiltration models are not formulated to describe this peculiar process. Similarly, simplified methods of soil hydraulic characterization (e.g., BEST) are not equipped to handle water-repellent soils. Here, we present an adaptation of the BEST method, named BEST-WR, for the hydraulic characterization of soils at any stage of water-repellency. We modified the Haverkamp explicit transient infiltration model, included in BEST for modeling infiltration data, by embedding a scaling factor describing the rate of attenuation of infiltration rate due to water repellency. The new model was validated using analytically generated data, involving soils with different texture and a dataset that included data from 60 single-ring infiltration tests. The scaling factor was used as a new index to assess soil water repellency in a Mediterranean wooded grassland, where the scattered evergreen oak trees induced more noticeable water repellency under the canopies as compared to the open spaces. The new index produced results in line with those obtained using the water drop penetration time test, which is one of the most widely test applied for quantifying soil water repellency persistence. Finally, we used BEST-WR to determine the hydraulic characteristic curves under both hydrophilic and hydrophobic conditions.

How to cite: Di Prima, S., Stewart, R. D., Abou Najm, M. R., Ribeiro Roder, L., Giadrossich, F., Angulo-Jaramillo, R., Yilmaz, D., Roggero, P. P., Pirastru, M., and Lassabatere, L.: BEST-WR for the hydraulic characterization of hydrophilic and water-repellent soils, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1385, https://doi.org/10.5194/egusphere-egu22-1385, 2022.

EGU22-1450 | Presentations | SSS6.3

Soil water retention curves determined in the laboratory and in the field 

Urša Pečan, Marina Pintar, and Damijana Kastelec

Soil water retention curves (SWRCs) provide information on the energy status of soil water and its availability to plants and are therefore important for irrigation management. SWRCs have traditionally been determined in the laboratory. With the development of new equipment that allows continuous measurement of soil water content and matric potential, it is possible to generate SWRCs in the field. The objective of our study was to determine SWRCs from continuous measurements in the field using dielectric methods and to see how SWRCs change over time. We compared them to SWRCs determined in the laboratory on undisturbed soil samples using the evaporation method (HYPROP®, METERgroup, Munich, Germany). Both the SWRCs determined in the field and in the laboratory were based on drying data only. Our results show significant differences between the SWRCs determined in the laboratory and in the field. For a given value of the matric potential, SWRCs in the laboratory often reach higher water contents, which can be attributed to the difference in soil wetting in the laboratory and in the field. The SWRCs constructed in the field also exhibit temporal variations. Therefore, we can conclude that the use of a single laboratory-constructed SWRC is not sufficient to describe the relationship between soil water content and matric potential.

How to cite: Pečan, U., Pintar, M., and Kastelec, D.: Soil water retention curves determined in the laboratory and in the field, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1450, https://doi.org/10.5194/egusphere-egu22-1450, 2022.

EGU22-2086 | Presentations | SSS6.3

Confronting the water potential information gap 

Kimberly Novick, Darren Ficklin, Dennis Baldocchi, Kenneth Davis, Teamrat Ghezzehei, Alexandra Konings, Natasha MacBean, Nina Raoult, Russell Scott, Yuning Shi, Benjamin Sulman, and Jeffrey Wood

Water potential directly controls the function of leaves, roots and microbes, and water potential gradients drive water flows throughout the soil-plant-atmosphere continuum. Notwithstanding its clear relevance for many ecosystem processes, soil water potential is rarely measured in-situ, and plant water potential observations are generally discrete, sparse, and not yet aggregated into accessible databases. These gaps limit our conceptual understanding of biophysical responses to moisture stress and inject large uncertainty into hydrologic and land surface models. Here, we outline the conceptual and predictive gains that could be made with more continuous and discoverable observations of water potential in soils and plants. We discuss improvements to sensor technologies that facilitate in situ characterization of water potential, as well as strategies for building new networks that aggregate water potential data across sites. We end by highlighting novel opportunities for linking more representative site-level observations of water potential to remotely-sensed proxies. Together, these considerations offer a roadmap for clearer links between ecohydrological processes and the water potential gradients that have the ‘potential’ to substantially reduce conceptual and modeling uncertainties.

How to cite: Novick, K., Ficklin, D., Baldocchi, D., Davis, K., Ghezzehei, T., Konings, A., MacBean, N., Raoult, N., Scott, R., Shi, Y., Sulman, B., and Wood, J.: Confronting the water potential information gap, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2086, https://doi.org/10.5194/egusphere-egu22-2086, 2022.

EGU22-5290 | Presentations | SSS6.3

A meta-analysis of near-saturate hydraulic conductivities using the newly compiled Open Tension-disk Infiltrometer Meta-database OTIM 

John Koestel, Guillaume Blanchy, Lukas Albrecht, Gilberto Bragato, and Nicholas Jarvis

Saturated and near-saturated hydraulic conductivities K (mm/h) are important soil properties that determine the partitioning of precipitation into surface runoff and infiltration and indicate soil susceptibility to preferential flow as well as soil aeration properties. Measurements of saturated and near-saturated soil hydraulic conductivities are time consuming and not practical for larger scales where they are mostly needed. The research community has therefore put effort in deriving pedotransfer functions to predict K using proxy variables. The precision of such pedotransfer functions has been very modest, however. As a result, recent studies have focused on assembling and analyzing bigger databases, aiming to find better predictors for the saturated and near-saturated soil hydraulic conductivities. A prominent example is the meta-database on tension-disk infiltrometer data compiled by Jarvis et al. (2013. Influence of soil, land use and climatic factors on the hydraulic conductivity of soil. Hydrology and Earth System Sciences 17(12), 5185-5195), who found that climate variables were better correlated with K than soil properties. OTIM (Open Tension-disk Infiltrometer Meta-database) builds on this database, adding 577 new data entries collated from 48 additional peer-reviewed scientific publications. OTIM contains more detailed information on local climate as well as land use and management than its predecessor. In this study, we present OTIM together with a meta-analysis on topsoil K from supply tensions ranging between 0 and 10 cm. Evaluating Spearman coefficients, we found that near-saturated K correlated best with the mean diurnal temperature range (0.54), the aridity index (-0.47) and the precipitation in the driest quarter of the year (-0.44). It may be speculated that larger diurnal temperature ranges stimulate the vertical movement of soil fauna while dry climates may lead to well-developed networks of shrinkage cracks. Notably, the correlations vanished for all considered climate variables at and close to saturation. At saturation, bulk density exhibited the highest correlation (-0.36). Furthermore, we found that arable land uses were related to strong decreases in saturated, but only moderate reductions in near-saturated K. This is well explained by effects of tillage and trafficking. Tillage disconnects macropores, diminishes the presence of macrofauna and thus leads to smaller saturated K; but for some weeks after seedbed preparation, it also improves near-saturated K by creating a well-connected inter-aggregate pore-network in the topsoil. Trafficking, in contrast, leads to soil compaction and higher bulk-densities. We found that soil compaction strongly reduced K for all investigated tensions. In line with the above explanations, we observed that no-till agriculture was associated with decreased K compared to conventional and reduced tillage for all considered tensions. Moreover, infiltration measurements conducted soon after seedbed preparation led to larger K, also for all investigated tensions. Our study demonstrates the importance of land use, soil management and time of measurement relative to tillage for predicting saturated and near-saturated K. Besides, we found confirmation that climate variables have a large impact on near-saturated K. The underlying mechanisms are however not clear and should be investigated in future studies.   

How to cite: Koestel, J., Blanchy, G., Albrecht, L., Bragato, G., and Jarvis, N.: A meta-analysis of near-saturate hydraulic conductivities using the newly compiled Open Tension-disk Infiltrometer Meta-database OTIM, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5290, https://doi.org/10.5194/egusphere-egu22-5290, 2022.

EGU22-6128 | Presentations | SSS6.3 | Highlight

Water status monitoring in almond and walnut orchards using random forest and remote sensing 

Isaya Kisekka and Srinivasa Peddinti

Water status in almond and walnut orchards is critical in optimizing irrigation management practices since it affects productivity, nut quality, and composition. Water status is frequently determined by the midday stem water potential (SWP) of almond and walnut orchards. Using SWP, allows for determination of the water status of almond and walnut trees, as well as to compare stress between days. SWP measurements are collected on a tree-by-tree basis and do not provide information on spatial variability or the comparison of different time periods because the recorded value is affected by both soil water content and the weather conditions on the day of the measurement, which makes comparisons between different time periods impracticable unless SWP readings are normalized by a baseline (non -water stressed tree under similar environmental conditions). The utilization of a very high-resolution manned and unmanned aerial vehicles equipped with multispectral cameras is being used to record the variability of different spectral features from the plant to the field-scale.

With this research, we aimed to construct a data-driven model based on the Random Forest (RF) ensemble technique to predict SWP spatial variability in drip and sprinkler irrigated almond and walnut orchards in the Central Valley of California, USA. For the training of the RF model, SWP data from three crop seasons from 2019 to 2021 were used along with Landsat-derived evaporation fraction, normalized vegetation index, soil water content from neutron probe, meteorological parameters, and soil properties as covariates. The results demonstrate that the trained model was capable of predicting the SWP at higher spatial resolutions when aerial imagery data were used in conjunction with the trained model. The R2 values for training and validation for almond and walnut orchards were 0.92 and 0.84, respectively. Using the results of the comparison between the pressure chamber measurements and the RF model predictions, we were able to estimate SWP with root mean square errors (RMSE) of 2 and 1.2 bars, mean absolute errors (MAE) of 1.2 and 0.96 bars, and mean bias of 0.62 and 0.48 bars in almond and walnut orchards, respectively. These results demonstrate the capabilities of a machine learning-based RF algorithm for predicting the SWP at higher spatial resolutions by using satellite, aerial imagery, and other meteorological variables as covariates. Spatial maps of SWP can be used by growers to optimize precision irrigation management in orchards characterized by water induced spatial variability.

How to cite: Kisekka, I. and Peddinti, S.: Water status monitoring in almond and walnut orchards using random forest and remote sensing, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6128, https://doi.org/10.5194/egusphere-egu22-6128, 2022.

EGU22-6648 | Presentations | SSS6.3

Assimilation of ERT data to improve Feddes parameters in a hydrological model during a root water uptake experiment 

Benjamin Mary, Anna Botto, Veronika Iván, Luca Peruzzo, Chunwei Chou, Yuxin Wu, Giorgio Cassiani, and Matteo Camporese

Mitigating plant water stress while reducing irrigation is one of the biggest challenges that sustainable agricultural practices aim to tackle. The rhizosphere is the main unknown component controlling the water distribution in the soil, but non-destructive observations of root physiology are often lacking due to methodological limitations.  

Numerous studies relate the use of electrical resistivity tomography (ERT) or stem-based methods to measure soil water content changes associated with root water uptake (RWU) in the rhizosphere area. Nevertheless, geoelectrical data are correlated with many rhizosphere parameters and their interpretation needs to be supported by physics-based models of root hydrology.

Here, we use a Data Assimilation (DA) framework to combine geoelectrical data with a hydrological model (Mary et al. 2021). DA offers the possibility to estimate model parameters governing RWU, such as in the well-known Feddes approach while introducing data observations to update them. 

In a synthetic experiment mimicking a top-down infiltration in a rhizotron containing a wine plant (Vitis Vinifera), we simulated different scenarios of ERT data assimilation with the CATHY surface-subsurface hydrological model. The rooting depth associated with the Feddes parameters are perturbed to generate the ensemble states. At each observation time, model states and root depth parameters are updated using the Ensemble Kalman Filter (ENKF). 

Expected results aim to demonstrate (i) what is the best ENKF scheme to integrate ERT measurements with the hydrological model and (ii) how much the uncertainties on the Feddes parameters can be reduced with the assimilation of ERT data. In a future work, the best approach identified will be applied to real soil and plant observation datasets.

Mary, B., Peruzzo, L., Iván, V., Facca, E., Manoli, G., Putti, M., et al. (2021). Combining Models of Root-Zone Hydrology and Geoelectrical Measurements: Recent Advances and Future Prospects. Front. Water 3, 767910. doi:10.3389/frwa.2021.767910.

How to cite: Mary, B., Botto, A., Iván, V., Peruzzo, L., Chou, C., Wu, Y., Cassiani, G., and Camporese, M.: Assimilation of ERT data to improve Feddes parameters in a hydrological model during a root water uptake experiment, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6648, https://doi.org/10.5194/egusphere-egu22-6648, 2022.

EGU22-7678 | Presentations | SSS6.3

Effect of different tree species on soil moisture and temperature. Early-stage view of continuous forest soil regime monitoring. 

Marta Kuželková, Lukáš Jačka, Martin Kovář, and Václav Hradilek

Due to the spatial heterogeneity, root presence and other specific properties, measurement of forest soil hydraulic properties is difficult. Forests are generally hydrologically important systems that can mitigate negative climate change impact, and specifically, forest soil represents crucial water reservoir. A common forest management strategy is to plant monocultural stands of trees. Due to the differences in trees characteristics, e.g., root system, litter and leaf area, the development of soil undergoes specific changes according to the planted species. The main aim of this study is to investigate the connection between the tree species and hydro-physical properties of forest soil with focus on long term soil moisture and temperature regime monitoring. This research brings an early-stage view to data obtained from May 2021 up to nowadays.

A set of 55 TDT (time domain transmission) soil moisture and temperature sensors were installed into three nearby locations. In each of those a monoculture stand of beech (Fagus sylvatica), spruce (Picea Abies), and larch (Larix Decidua) are planted. Half of the sensors are used for measuring the mineral soil moisture in depth of -15 to -29 cm below soil surface and point temperature of -23, -15, +5 cm relative to the surface, the rest is used for measuring the topsoil moisture from the surface to the depth of -14 cm and point temperatures in levels of -8, 0 and +15 cm.

Results shows distinct differences in soil moisture among tested tree species. After longer period without precipitation (period of soil-water loss), the highest differences in volumetric water content (VWC) were observed. After one-month period without rain in early summer, mean values of VWC for topsoil were 35% for beach, 28% for larch, and 21% for spruce. Overall, the beech stands showed the highest ability to maintain soil water after periods of soil water loss and therefore, potentially exhibited the strongest resistance towards soil drought. By contrast, spruce tends to lose water relatively fast which can be problematic especially in events of long-term drought. For the surface temperature during vegetation season, the highest values were observed in larch stands followed by spruce and the lowest in beach. These findings probably corresponding to different solar radiation permeability of tree canopies. The observed effects of tree species on soil moisture and temperature should be considered for hydrological modelling, future forest planning, and water management improvement of forest soil.

How to cite: Kuželková, M., Jačka, L., Kovář, M., and Hradilek, V.: Effect of different tree species on soil moisture and temperature. Early-stage view of continuous forest soil regime monitoring., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7678, https://doi.org/10.5194/egusphere-egu22-7678, 2022.

EGU22-8297 | Presentations | SSS6.3

Land-use change impacts on soil water balance in Santa Cruz Island, Galapagos 

Ilia Alomia, Rose Paque, Armando Molina, Yessenia Montes, Jean Dixon, and Veerle Vanacker

In the Galapagos archipelago, about 96% of the land area has been declared a Protected National Park in 1959. Of the four inhabited islands, Santa Cruz is the most populated, with 15,393 inhabitants in 2010. The non-protected area in Santa Cruz corresponds to the south-central part of the island and the bay area around Puerto Ayora. Over the period 1961-2018, the agricultural land expanded from 6% to 67% of the non-protected land area. In a field-based study around the settlement of Santa Rosa, we monitored hydrometeorological and soil physical and hydrological properties over the period July 2019-December 2021. Six sites were monitored including two replicates per land cover type: (i) native Miconia forest, (ii) agricultural land, and (iii) abandoned farmland with invasive species. The spatiotemporal distribution of rainfall and air temperature over the sites is recorded via one weather station, four rain gauges, air temperature and relative humidity sensors; and the atmospheric input and rainfall were sampled at biweekly basis. After pedological characterization of the six profiles, soil and rock samples were taken per horizon for analysis of elemental chemistry, mineralogy, texture, C/N ratio, and organic matter content. Upslope of the soil profiles, TDR probes measured volumetric soil moisture content, soil electrical conductivity and temperature; and soil water samples were taken using suction lysimeters. 

 

Over the monitoring period, the highest rainfall amounts were measured in January (226 to 265 mm), and the lowest in May (20 to 25 mm). Most of the year, the relative air humidity is close to 100% with values dropping to 60% in March. The lowest air temperatures (15 °C) are measured in August, and the highest (29 °C) in March and April. Solar radiation strongly fluctuates from 80 W/m2 during the rainiest month to 220 W/m2 in March. Deeply weathered soils are developed on basaltic parent material and have a depth up to 50 cm. Soils are loose and lack macro-structure. The dry bulk density varies as a function of land cover, with the highest bulk densities of 0.9 g.cm-³ in abandoned farmlands, intermediate values of 0.7 g.cm-³ in agricultural land and lowest values of 0.5 g.cm-³ in forests. Although the air temperature is similar amongst all six sites, there are clear differences in the soil temperature between agricultural and abandoned farmland, and forest sites. Our data show that soil moisture is systematically higher in the two forest sites compared to the agricultural and abandoned sites.  

 

As such, the field data provide evidence of the impact of forest clearing on soil physical properties and soil-water balance.

 

Keywords

Soil weathering, soil water balance, Galapagos, basaltic soils, Agricultural expansion

 

How to cite: Alomia, I., Paque, R., Molina, A., Montes, Y., Dixon, J., and Vanacker, V.: Land-use change impacts on soil water balance in Santa Cruz Island, Galapagos, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8297, https://doi.org/10.5194/egusphere-egu22-8297, 2022.

EGU22-8703 | Presentations | SSS6.3

Testing effects of deviations from theory for beerkan infiltration experiments 

Massimo Iovino, Vincenzo Bagarello, Michal Dohnal, and Jianbin Lai

The beerkan infiltration experiment is carried out by inserting the ring a short depth into the soil and establishing a positive head of water on the infiltration surface for at least a part of the run. Nevertheless, the data are analyzed by assuming a fully unconfined infiltration process (ring insertion depth, d = 0) and a null ponded depth of water (H = 0). The influence of ring insertion and ponded water on an infiltration process of 2 hours sampled every minute was tested in this numerical investigation. Five soils varying from sand to silt loam, three ring radii (5 - 15 cm) and the beerkan specific range of values for both d and H, that is between 0 and 1 cm were considered. The differences between the theoretical (d = H = 0) and the practical (d = H = 1 cm) setups varied from -10.4% and +8.6% for the mean infiltration rate and from -10.2% to +8.3% for the final cumulative infiltration. These differences were small and they decreased by considering a soil dependent ring radius. In particular, nearly negligible differences were detected using a small ring in coarse-textured soils and a large ring in fine-textured soils. In the coarser soils, inserting the ring and establishing a ponded depth of water did not alter appreciably the estimated coefficients of the two-parameter infiltration model with the Cumulative Linearization method since these coefficients differed between the theoretical and practical setups by no more than 9.2%; while in fine soils, linearization could not be possible regardless of the considered setup or it was the use of d = H = 1 cm instead of d = H = 0 that impeded a convincing linearization of the data. In conclusion, the satisfactory correspondence, in many circumstances, between the theoretical and the practical beerkan infiltration experiment reinforced the interest for this simple experiment as a practical means to collect infiltration data in the field. Other numerical tests should be carried out to reach more general conclusions, also considering heterogeneous soil conditions. The numerical results should represent the first step of a wider investigation that also includes laboratory and field experiments.

How to cite: Iovino, M., Bagarello, V., Dohnal, M., and Lai, J.: Testing effects of deviations from theory for beerkan infiltration experiments, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8703, https://doi.org/10.5194/egusphere-egu22-8703, 2022.

In precision irrigation, a wise approach for decision making would consider not only a response to the current observations by sensors or other means. It should also consider forecasting the near future and prospecting hypothetical scenarios for water requirements and potential yield. These would require simulations which, in turn, demand for site specific characterization of the Soil-Plant-Atmosphere scenario. While crop parameters can be retrieved relatively easy from remote sensing, the availability of precise soil data would be limiting the accuracy of the simulations. Such limitations could be alleviated by in-situ calibration of the soil-crop models where the simulated soil water budget is contrasted with observed series of crop’s vigor and water state. This contribution describes an example where the soil waterholding capacity was estimated from inverse modelling during the seasons of 2020 and 2021 in a vineyard near Lleida, Spain.

How to cite: Casadesus, J. and Bellvert, J.: In situ calibration of soil-plant-atmosphere simulations, for precision irrigation practice, using timeseries of crop’s vigor and water state, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8928, https://doi.org/10.5194/egusphere-egu22-8928, 2022.

EGU22-9216 | Presentations | SSS6.3

Water dynamics in an infiltration trench in an urban centre in Brazil 

Artur Paiva Coutinho, Paulo Henrique Lopes Bezerra, Laurent Lassabatere, Severino Martins dos Santos Neto, Tassia dos Anjos Tenório Melo, Antonio Celso Dantas Antonino, Rafael Angulo-Jaramillo, and Suzana Maria Gico Lima Montenegro

Infiltration trenches are compensatory techniques that have been settled up for decades. These aim to store the stormwater previously collected and infiltrate water into its banks. The objectives of the proposed study consist of modeling the water dynamics in an infiltration trench in order to evaluate its hydraulic performance. The studied trench is installed in the city of Recife (Pernambuco-Brazil, Brazil). We analyzed the response time of the infiltration system, the percentage of the infiltrated volume, and the dynamics of water storage processes for an extensive series of several rainfall events. We used the PULS method to model the events and quantify the contributions of each compartment to the water budget (infiltration, evaporation, etc.). Both observations and modeling demonstrated that the infiltration trench had a positive effect, with high performance, allowing the infiltrating of a large part of the drained volume. The infiltration trench achieved its objective of decreasing the volume drained on the surface. In this research, we also question the changes in the soil characteristics with time (in particular clogging of the banks) and the potential occurrence of preferential flow.

How to cite: Coutinho, A. P., Lopes Bezerra, P. H., Lassabatere, L., Neto, S. M. D. S., Melo, T. D. A. T., Antonino, A. C. D., Angulo-Jaramillo, R., and Montenegro, S. M. G. L.: Water dynamics in an infiltration trench in an urban centre in Brazil, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9216, https://doi.org/10.5194/egusphere-egu22-9216, 2022.

EGU22-9499 | Presentations | SSS6.3

Comparing the performances of Pedotransfer Functions with Hydrus 1D Inverse Parameters Estimation in a deep cultivated sahelian soil 

Djim M L Diongue, Frederic C Do, Christine Stumpp, Didier Orange, Christophe Jourdan, Sidy Sow, Serigne Faye, and Olivier Roupsard

Knowledge about soil water balance and ecosystem water partitioning is crucial for managing soils in semi-arid areas like the Sahel, but hydraulic parameters are hardly available to run either parsimonious or detailed process models. This study aims at bridging this parameterization gap in a typical deep (> 2m) loamy sand soil from the groundnut basin in Senegal[1]. Five approaches of soil hydraulic parameterization with a range of different complexity were compared: (1) the lookup table of Carsel and Parrish (1988) that use only the soil texture class known as “Class PTFs”, (2) Rosetta PTFs from only topsoil characterization, (3) Rosetta PTFs with a detailed multilayer soil characterization, and inverse estimation from soil moisture using Hydrus-1D, considering the soil column either as (4) a single soil material and (5) with three-layered soil material. We compared the predicted (i) soil water content (SWC) with high-frequency measurements from 15 cm down to 200 cm deep and (ii) actual evapotranspiration (ET) with Eddy Covariance (EC) data during four consecutive growing seasons under a rotation of pearl millet and peanut crops. The simplest methods (1 & 2) resulted in a significant bias of the predicted SWC, with, however, some predictive ability of Method 2 to simulate the general trends of Swc, especially under peanut crops. Method 3 behaved reasonably with average RMSE for SWC, varying between 0.029 and 0.023 cm-3 cm-3. Method 4 further improved the predictions with RMSE ranging from 0.013 to 0.020 cm-3 cm-3. The best agreement was found under peanut using Method 5 (RMSE ≤ 0.013 cm3 cm-3). Methods 3, 4 or 5 behaved satisfactorily for predicting ET whatever the crop, e.g. Method 4 (RMSE= 0.05 cm day-1, NSE= 0.9 and R²= 0.93) for pearl millet.

We showed that inverse modelling should be preferred over using PTFs when studying water fluxes and evapotranspiration in cultivated Sahelian soils.


[1] Faidherbia-Flux (FLUXNET: SN-Nkr): https://lped.info/wikiObsSN/?Faidherbia-Flux

How to cite: Diongue, D. M. L., Do, F. C., Stumpp, C., Orange, D., Jourdan, C., Sow, S., Faye, S., and Roupsard, O.: Comparing the performances of Pedotransfer Functions with Hydrus 1D Inverse Parameters Estimation in a deep cultivated sahelian soil, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9499, https://doi.org/10.5194/egusphere-egu22-9499, 2022.

EGU22-9931 | Presentations | SSS6.3

Characterizing soil-plant interactions under heterogeneous micro-irrigated citrus orchards 

Daniela Vanella, Giuseppe Longo-Minnolo, Juan Miguel Ramírez-Cuesta, Domenico Longo, Alessandro D'Emilio, and Simona Consoli

The increased water demand from the irrigated agriculture sector calls for the introduction of more efficient water saving strategies in order to maintain sustainable crop production. This need is particularly urgent in Mediterranean climate areas, already deeply affected by water scarcity and soil depletion issues. In this context, the use of advanced near surface geophysics monitoring techniques can help to characterize the temporal and spatial soil physics dynamics and the related soil moisture processes active at the root-zone level aiming at optimizing the irrigation management.

In this study, the electrical resistivity imaging (ERI) technique was applied for characterizing the mass exchange mechanisms acting within the soil-plant system of heterogeneous micro-irrigated orchards. In particular, repeated ERI surveys were carried out in a citrus orchard (Citrus sinensis (L.) Osbeck), located in Eastern Sicily, southern Italy, characterized by the presence of crop heterogeneity features within the same plant framework, both in terms of variety and age (i.e. 3-year old Tarocco Ippolito and 8 year-old Tarocco Nucellare Scirè, respectively).

The time-lapse ERI monitoring has permitted to identify specific wetting fronts and root water uptake (RWU) patterns effective in the soil / root system during dynamic condition (i.e. an irrigation cycle), mostly affected by the complex nonlinear interactions (i.e., soil evaporation, RWU and soil water redistribution) operating under crop heterogeneous conditions. Moreover, the use of soil moisture sensors installed in situ has permitted to identify a clear relationship between the changes in the soil water content observed in the field and the soil electrical resistivity (ER) characteristics with reference to the different types of analysed tree crops (with overall R2 value of 0.63). Specifically, it has been observed that the soil evaporative process, represented by an increasing of ER values, was greater in the younger citrus trees due to their lower vegetation groundcover and roots development. While, the greater soil moisture changes (resulting in greater ER decreasing patterns) occurred for the mature tree crops, characterized by higher root biomass, because its initial soil water condition was lower in comparison to the young tree crops.

How to cite: Vanella, D., Longo-Minnolo, G., Ramírez-Cuesta, J. M., Longo, D., D'Emilio, A., and Consoli, S.: Characterizing soil-plant interactions under heterogeneous micro-irrigated citrus orchards, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9931, https://doi.org/10.5194/egusphere-egu22-9931, 2022.

EGU22-10912 | Presentations | SSS6.3

A critical review of conceptual and empirical approaches to characterize infiltration 

Majdi Abou Najm, Christelle Basset, Rafael Angulo-Jaramillo, Vincenzo Bagarello, Simone Di Prima, Massimo Iovino, Laurent Lassabatere, and Ryan Stewart

Over the past two centuries, studying the infiltration process has received significant efforts resulting in numerous infiltration models being developed. These models depended on specific soil properties, and were influenced by initial and boundary conditions. They were also classified into two major categories: empirical and conceptual models, although the boundaries between those two categories can be debated for several models. The empirical models solved the infiltration problem by curve-fitting measured data into algebraic equations. In contrast, the conceptual approaches built on earlier concepts, mainly derived from the fundamental flow models, and then formulated analytical solutions applied to the infiltration problem. In this review, we create an inclusive survey covering the diverse spectrum of published infiltration modeling to understand the philosophy and evolution of those empirical and conceptual models across the years. After providing a full historical retrospective of infiltration models, we explored the model parameters and their evolution with time. We also reviewed the different methods applied to estimate the basic and common infiltration parameters, as well as the challenges that arise by such methods.

How to cite: Abou Najm, M., Basset, C., Angulo-Jaramillo, R., Bagarello, V., Di Prima, S., Iovino, M., Lassabatere, L., and Stewart, R.: A critical review of conceptual and empirical approaches to characterize infiltration, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10912, https://doi.org/10.5194/egusphere-egu22-10912, 2022.

Proper parameterisation and conceptualisation of the commonplace process of infiltration into the soil is still a topic of debate. Measuring soil water distribution in a spatio-temporally continuous manner can advance our understanding of infiltration in non-uniform flow networks and the soil matrix. At the same time, we find different measurement techniques bound to different concepts and scales, which make a general interpretation and quantification of the data still a challenging task.

We present results from several irrigation experiments at the plot and hillslope scale, in which we combined hydrological, geophysical and remote sensing techniques. On this basis, we will point out how different techniques have advantages and pitfalls for their interpretation. E.g. despite the different scales, we found hydraulic conductivity measured in soil cores in good coherence with plot scale experiments, while in-situ measurements with a constant head permeameter deviated substantially. Another example are multispectral data of the changing surface conditions during irrigation which cannot discern different subsurface infiltration patterns, once the surface becomes sufficiently wet.

Since any parameterisation links back to the conceptual and numerical models, we have developed an alternative concept to simulate soil water infiltration and redistribution based on a Langangian approach using film flow in representative macropores and a 2D random walk for the soil matrix. Simulations highlight the inherently combined effect of antecedent state and connected preferential flow networks on the respective generation of non-uniform infiltration patterns.




How to cite: Jackisch, C. and Allroggen, N.: Initial non-uniform soil water redistribution as inherent hydrological process – from field experiments to model insights, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12777, https://doi.org/10.5194/egusphere-egu22-12777, 2022.

Soil water repellency has a substantial effect on soil-water retention and flow. Typically, soils are denoted water repellent when they resist spontaneous wetting by water for more than five seconds. Soil water repellency reduces infiltration capacity, increases surface runoff, soil erosion, and induces uneven distribution of water content, including preferential flow pathways. We describe an in-situ study aiming to remediate these soils by surfactant application using a commercial drip system.

The study was carried out on a commercial citrus orchard irrigated with secondary treated wastewater, which usage has been shown to induce soil water repellency over time. To relieve the adverse effects of soil water repellency, different concentrations of a nonionic surfactant were applied to the soil using a drip system for three years. The spatial variation of the soil's wettability was characterized by the sessile drop method (contact angle) and water drop penetration time (WDPT) test. The spatial soil-water content distributions and flow were monitored undisturbedly by electrical resistivity tomography (ERT) surveys. Spatial soil-agrochemical distributions along transects where the ERT surveys took place were determined by intensive soil sampling at two depths: 0-20 and 20-40 cm.

The ERT results indicated that while the surfactant application via drippers improved the water repellent soil's wettability, it enhanced the development of preferential flow pathways. Although preferential flow pathways associated with treated wastewater irrigation existed in all soil profiles, they were exacerbated by the surfactant application. Additionally, increased leaching of mobile elements, like Cl, N, and EC, was measured for the surfactant-treated plots. Contrarily, P adsorption to the soil particles was increased in the surfactant plots compared to the untreated plots. While the contact angle along the soil surface showed no difference between the untreated and surfactant treated plots, the WDPT decreased in the latter. These findings indicate that aside from the foreknown causes of preferential flow in soils like earthworms, wet and dry cycles, aliphatic hydrocarbons, etc., localized surfactant application by drippers (point sources) for water repellent soils remediation enhances preferential flow and chemicals leaching. Therefore, a different method for surfactant application that remediates soil water repellency without enhancing agrochemicals leaching should be considered and examined.

How to cite: Ogunmokun, F. A. and Wallach, R.: Surfactant application via drippers for water repellent soil remediation enhances agrochemicals leaching through preferential flow pathways, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2034, https://doi.org/10.5194/egusphere-egu22-2034, 2022.

EGU22-4713 | Presentations | SSS6.5

Sorptivity of dual-permeability soils 

Laurent Lassabatere, Deniz Yilmaz, Simone Di Prima, Majdi Abou Najm, Ryan D. Stewart, Jesús Fernández-Gálvez, Joseph Pollacco, and Rafael Angulo-Jaramillo

Sorptivity is a crucial parameter for modeling water infiltration into soils. Many works have related sorptivity to the soil hydraulic functions, i.e., the water retention and unsaturated hydraulic functions. Parlange's  (1975) formulation is one of the most used to relate sorptivity to the soil hydraulic functions, allowing the direct computation of sorptivity as a function of the soil hydraulic parameters and initial and final water contents. On this basis, several works investigated the possibility of direct analytical relationships between sorptivity and the hydraulic shape and scale parameters  (e.g., Lassabatere et al., 2021). So far, most of the studies have focused on single permeability soils with monomodal water retention and unsaturated hydraulic functions. However, the use of dual- or multi-permeability approaches is increasing in relation to the necessity to account for preferential flows in soils. The approach developed by (Gerke and van Genuchten, 1993) or (Pollacco et al., 2017) are examples of dual-permeability approaches and allow the modeling of preferential flows in soils. In the proposed study, we apply the formulation proposed by Parlange (1975) for the computation of sorptivity for dual-permeability soils, considering the approaches proposed by Gerke and van Genuchten (1993) and Pollacco et al. (2017). Our developments lead to a relation between the bulk sorptivity of the dual permeability soils to those of the matrix and the fast-flow compartments, plus additional terms. We end with the scaling of the proposed relation for investigating the effects of the matrix and fast-flow shape and scale parameters and the volumetric content occupied by the fast-flow compartment.

References

Gerke, H. H. and van Genuchten, M. T.: A dual-porosity model for simulating the preferential movement of water and solutes in structured porous-media, 29, 305–319, 1993.

Lassabatere, L., Peyneau, P.-E., Yilmaz, D., Pollacco, J., Fernández-Gálvez, J., Latorre, B., Moret-Fernández, D., Di Prima, S., Rahmati, M., Stewart, R. D., Abou Najm, M., Hammecker, C., and Angulo-Jaramillo, R.: Scaling procedure for straightforward computation of sorptivity, 2021, 1–33, https://doi.org/10.5194/hess-2021-150, 2021.

Parlange, J.-Y.: On Solving the Flow Equation in Unsaturated Soils by Optimization: Horizontal Infiltration, 39, 415–418, 1975.

Pollacco, J. A. P., Webb, T., McNeill, S., Hu, W., Carrick, S., Hewitt, A., and Lilburne, L.: Saturated hydraulic conductivity model computed from bimodal water retention curves for a range of New Zealand soils, 21, 2725–2737, https://doi.org/10.5194/hess-21-2725-2017, 2017.

How to cite: Lassabatere, L., Yilmaz, D., Di Prima, S., Abou Najm, M., Stewart, R. D., Fernández-Gálvez, J., Pollacco, J., and Angulo-Jaramillo, R.: Sorptivity of dual-permeability soils, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4713, https://doi.org/10.5194/egusphere-egu22-4713, 2022.

The distribution of rainwater and subsurface runoff formation in forest soil can be strongly affected by soil disturbance and microrelief. This study analyses preferential pathways of dyed water after artificial rainfall on a forested slope with pits and mounds formed by historical tree uprooting.

Two heavy rain experiments were carried out using a special tailored rainfall simulator. The first plot was situated above the pit-mound transition. The second (control) plot was situated at a nearby undisturbed surface. The soil profiles were excavated after the rainfall simulation and the dyed stained patches indicating preferential flow were photographed. Subsequently, advanced image analysis was performed to assess differences in water flow patterns in both soil profiles.

The results show contrasting dyed patterns in soil, indicating significant differences in the preferential flow and runoff formation at each plot. The dye-stained patches revealed in image analysis indicated much higher water entry into subsoil of pit profile (31 % of area) than in control plot (8 %). These findings support our previous hypothesis about the significant impacts of terrain depressions formed by tree uprooting on preferential flow and subsurface runoff formation. These terrain disturbances may redirect shallow subsurface flow and force the redistribution of water into deep subsoil layers.  The effects of pit-mound microrelief on the hydrology of forested slopes should be considered in future hydrological modelling and land management.

How to cite: Juras, R., Valtera, M., and Jačka, L.: How does pit-mound microrelief affect preferential flow and runoff formation in forest soils? A case study using rain simulator and dye tracer, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4724, https://doi.org/10.5194/egusphere-egu22-4724, 2022.

Biopore walls are often coated with exudates and finer soil particles such that the soil in the vicinity displays altered hydro-mechanical properties resulting in distinct wettability, permeability and diffusivity when compared to the soil matrix. The mechanical properties in the coating surface (i.e. stiffness and pore structure) may change rapidly during wetting or drying, thus affecting the biopore-matrix mass exchange of water and solutes during preferential flow and local non-equilibrium dynamics.

Since the combined effects of hydro-mechanical properties on the soil structure dynamics are still poorly explored, we developed a cohesive structural model of the biopore - soil matrix interface and varied particle size and stiffness (i.e. Young’s modulus) in Discrete Element Method (DEM). Pore Finite Volume (PFV) was coupled in order to simulate water and air phases during pore scale drainage in 3D. Thus, the model take into account structural responses (i.e. deformations and stresses) during the change from saturated to funicular state. Considering water tension surface constant (0.0728 Pa) and the spherical particles perfectly wettable, four coated surfaces were simulated using a combination of particle radius of 0.1 and 0.2 mm and Young’s modulus of 700 GPa and 1100 GPa. The soil matrix particle properties were constant with radius of 0.3 mm and Young’s modulus of 700 GPa. Lateral drainage was simulated by decreasing the pressure head at the external coated surface, then the air phase invaded soil matrix in direction to the coated area. The retention curve showed higher dependence on particle size rather than particle stiffness. Simulated drainage started relatively slow followed by a rapid saturation decrement. For smaller particles with coated surfaces, the change from slow to rapid drainage was observed twice, for the soil matrix and for coated biopore surfaces. The shrinkage behavior was linear during slow drainage followed by swelling effect in rapid saturation decrement. With the combination of smaller particles and higher Young’s modulus, the plastic deformation and water retention was higher. This coupled effect of heterogeneous mechanical properties on shrinkage-swelling dynamic of biopore-matrix mass exchange bring about a new approach for more complex and realistic models.

How to cite: Pires Barbosa, L. A. and Gerke, H. H.: Shrinkage-swelling effect on mass transfer through a pore-scale model of the biopore - matrix interface coupling Discrete Element and Finite Volume, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4962, https://doi.org/10.5194/egusphere-egu22-4962, 2022.

EGU22-5937 | Presentations | SSS6.5

Saturated hydraulic conductivity estimation of layered soil in 1D from Beerkan Experiment 

Deniz Yilmaz, David Moret-Fernandez, Borja Latorre, Rafael Angulo-Jaramillo, and Laurent Lassabatere

In the last decade, the development of methodologies based on Beerkan infiltration (ring or disk infiltrometry technique with null constant water head) analysis allows today to estimate the hydraulic properties of surface soils with increasing accuracy. In particular, the 3D model of Haverkamp et al. (1994) and its two-term (BEST methods) and four-term (4T) expansions (Moret-Fernández et al., 2020) have demonstrated their robustness. The analysis of the transient part of cumulative Beerkan infiltration allows the simultaneous estimation of the sorptivity S and the hydraulic conductivity at saturation Ks. Very recently presented, the sequential analysis (SAI) of Beerkan data (Moret and Fernandez et al., 2021) applied to stratified soils columns allows delimiting the part of the Beerkan infiltration curve governed by the upper layer and estimating its thickness. This approach opens new perspectives for using Beerkan water infiltration, especially for estimating the conductivity of the underlying porous medium. Numerical Beerkan infiltration of layered soils combination in 1D were produced using van Genuchten-Mualem model and Hydrus 1D software.  Numerical curves were subject to SAI method to estimate the upper horizon soil hydraulic properties and the regime state of the infiltration flow allowed the estimation. Therefore, it is possible under certain assumptions to estimate the hydraulic conductivity of the underlying soil in 1D. This is the first step towards the determination of stratified soils hydraulic properties. This approach will allow new theoretical development for the extension to three-dimensional water infiltration into layered soils and relative hydraulic characterization of soil layering.

Moret-Fernández, D., Latorre, B., López, M.V., Pueyo, Y., Lassabatere, Angulo-Jaramillo, R., Rahmati,M., Tormo, J., Nicolu, J.M. (2020). Three- and four-term approximate expansions of the Haverkamp formulation to estimate soil hydraulic properties from disc infiltrometer measurements. Hydrological Processes, 34 (26), 5543-5556.  

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 Resources Research, 30(11), 2931-2935.

Moret-Fernández, D., Latorre, B., Lassabatere, L., Di Prima, S., Castellini, M., Yilmaz, D., & Angulo-Jaramilo, R. (2021). Sequential infiltration analysis of infiltration curves measured with disc infiltrometer in layered soils. Journal of Hydrology, 126542.

How to cite: Yilmaz, D., Moret-Fernandez, D., Latorre, B., Angulo-Jaramillo, R., and Lassabatere, L.: Saturated hydraulic conductivity estimation of layered soil in 1D from Beerkan Experiment, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5937, https://doi.org/10.5194/egusphere-egu22-5937, 2022.

EGU22-6202 | Presentations | SSS6.5

Effect of biofilm permeability on flow and transport in three-dimensional porous media: A geostatistical study 

Ishaan Markale, Maxence Carrel, Dorothee Kurz, Veronica Morales, Markus Holzner, and Joaquin Jimenez-Martinez

Bacterial biofilms can form in porous media that are of interest in industrial and particularly environmental applications such as in situ groundwater remediation. The presence of biofilms modifies pore-scale and bulk hydrodynamics and consequently solutes transport and reaction kinetics. Porous media consist of highly heterogeneous flow fields and thus biofilm growth is also highly variable resulting in spatially variable biofilm permeabilities. Random processes are often invoked in hydrogeology to model variable quantities. Geo-statistical simulations require numerous realizations of a stochastic process over a grid. Our study leverages highly resolved three-dimensional X-ray computed microtomography images of bacterial biofilms in a tubular reactor to numerically compute pore scale flow and solute transport on a fine grid by considering various realizations of the biofilm permeability field. Using a conservative tracer experiment we first validate our flow and transport model which is then used to understand the impact of a heterogeneous permeability field on fluid-fluid and biologically driven reactions.

How to cite: Markale, I., Carrel, M., Kurz, D., Morales, V., Holzner, M., and Jimenez-Martinez, J.: Effect of biofilm permeability on flow and transport in three-dimensional porous media: A geostatistical study, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6202, https://doi.org/10.5194/egusphere-egu22-6202, 2022.

EGU22-7174 | Presentations | SSS6.5

A new method to determine filtration of pollutants in urban soils 

Gersende Fernandes, Simone Di Prima, Gislain Lipeme Kouyi, Rafael Angulo-Jaramillo, Matteo Martini, and Laurent Lassabatere

Stormwater management zones must enable water to infiltrate easily, primarily due to macropores, but little is known about the transport of pollutants through these macropores. Some coupled methods using, for example, dyes, disc, or ring infiltrometers were developed to give insight on the respective contributions of the macropores versus the matrix to the bulk infiltration. However, these methods do not visualize where and how water infiltrates. Besides, no information is given on the solute transfer in soils, whereas this issue is crucial regarding the quality of soils and groundwater. One of the goals of the national program INFILTRON (https://infiltron.org) project granted by the French national research agency is to develop superparamagnetic iron oxide nanoparticles (SPIONs) which mimic both pollutant and bacteria flow behavior in soils (Raimbault et al., 2021) and are detectable by ground-penetrating radar (GPR). Within its framework (Lassabatere et al., 2020), we aim to show how nano-tracers can help detect preferential treatment flows (lithological heterogeneity, root system) and quantify or qualify the pollutant transfer in heterogeneous soils. A specific device was designed and presented for the concomitant monitoring of water infiltration and nano-tracer injection. This specific infiltrometer involves two water supply reservoirs and a ring diameter of 50 centimeters. This device maintains a constant depth of water (10 cm) above the soil and delivers the water infiltration into the soil. Two rules posed on the reservoirs allow monitoring the water drop and computation of the cumulative infiltration. Fifty volumes of SPIONs solutions (5 mL of 3.35g/l SPIONs solution) were injected into the ring to maintain a constant concentration in the ring. GPR monitors the bulb of infiltrated water and SPIONs. GPR data is treated with ReflexW (©Sandmeier geophysical research) and RockWorks (RockWare®) software. Combining this specific prototype with the use of GPR for the detection of water and the SPIONs gives insight into the processes of infiltration and SPIONs transfer and localization in the soil. These data allow us to understand and model pollutant transfer into the vadose zone.

Raimbault, J., Peyneau, P.-E., Courtier-Murias, D., Bigot, T., Gil Roca, J., Béchet, B., and Lassabatère, L.: Investigating the impact of exit effects on solute transport in macropored porous media, 2020, 1–20, https://doi.org/10.5194/hess-2020-494, 2020

Lassabatere, L., De Giacomoni, A.-C., Angulo-Jaramillo, R., Lipeme Kouyi, G., Martini, M., Louis, C., Peyneau, P.-E., Rodriguez-Nava, V., Cournoyer, B., Aigle, A., and others: INFILTRON package for assessing infiltration & filtration functions of urban soils, in: EGU General Assembly Conference Abstracts, 11269, 2020. https://doi.org/10.5194/egusphere-egu2020-11269

How to cite: Fernandes, G., Di Prima, S., Lipeme Kouyi, G., Angulo-Jaramillo, R., Martini, M., and Lassabatere, L.: A new method to determine filtration of pollutants in urban soils, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7174, https://doi.org/10.5194/egusphere-egu22-7174, 2022.

EGU22-7218 | Presentations | SSS6.5

Estimation of soil hydraulic properties and preferential flow at agricultural hilllslope under controlled conditions 

Jasmina Defterdarović, Lana Filipović, Zoran Kovač, Vedran Krevh, Luka Han, Radka Kodešová, Horst H. Gerke, and Vilim Filipović

Soil vadose zone is one of the most complex terrestrial systems due to various processes occurring within its boundaries. The first Croatian critical zone observatory SUPREHILL was established to specify subsurface preferential flow and nonlinear agrochemical transport processes. Combining laboratory and numerical methods with extensive sensor-based equipment will result in a wide range of data allowing us to accurately estimate heterogeneities on a local scale. The presented study includes estimation of soil hydraulic properties (SHP) and water flow experiments under controlled conditions. Undisturbed soil cores (250 cm3) were taken in three repetitions at the top, middle and the bottom of the hillslope to estimate SHP using the HYPROP and WP4C techniques. Undisturbed soil columns were taken at the hilltop, middle, and the bottom of the vineyard hillslope from the row and interrow area. Soil columns are 25 cm high and 16 cm in diameter with soil moisture sensors and tensiometers set inside each column. Each soil column was irrigated three times per day during two-week period. Results obtained using HYPROP showed very similar SHP in the investigated depth which indicates uniform soil structure along the hillslope (top soil layer). HYPROP derived SHP showed very low values of hydraulic conductivity, but the sensors in columns reacted shortly after irrigation which indicates higher hydraulic conductivity. Since soil cores for HYPROP are relatively small compared to the soil columns, the presence of preferential flow is minimal, and some flow pathways present on the larger scale are not accounted for. Therefore, preferential flow will be further identified and quantified using a dye tracer, and experimental results will be shown. For additional preferential flow identification and quantification, later in the research, we will combine CT-scanning of undisturbed soil columns and numerical simulations.  

How to cite: Defterdarović, J., Filipović, L., Kovač, Z., Krevh, V., Han, L., Kodešová, R., Gerke, H. H., and Filipović, V.: Estimation of soil hydraulic properties and preferential flow at agricultural hilllslope under controlled conditions, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7218, https://doi.org/10.5194/egusphere-egu22-7218, 2022.

EGU22-9245 | Presentations | SSS6.5

Modeling bioretention systems using different sets of simplified preferential infiltration models 

Asra Asry, Gislain Lipeme Kouyi, Jérémie Bonneau, Tim D. Fletcher, and Laurent Lassabatere

Sustainable Urban Drainage Systems (SuDs) have grown in popularity in recent decades as an efficient and effective solution for urban drainage systems, with the aim of reducing flood risk, improving urban amenity and reducing negative impacts on receiving waters. Infiltration is a critical factor in both the management and modelling of SuDs. Predicting infiltration behaviour is rendered difficult by the inherent heterogeneity of substrate characteristics. Much research has been devoted to understanding the physical processes responsible for preferential flows in soils and developing simplified and physically-based infiltration models for predicting preferential flows and water infiltration into heterogeneous soils. In this study, INFILTRON-mod, a generic physically-based package, is proposed. This package involves infiltration models for uniform and non - uniform flows in soils, considering the Darcian approach and mass balance. Uniform and non-uniform flows are modeled using the single and dual permeability approaches, respectively. The dual permeability concept assumes that the soil comprises two regions, i.e., the general matrix and the fast-flow regions, each obeying the Darcian approach. Then, different sets of infiltration models can be considered for the description of water infiltration into the single permeability soils and, by analogy, into each region of the dual-permeability soils. In this study, we investigate different sets of infiltration models, including the Green and Ampt model and other specific custom-made models. The different sets combined with either single or dual permeability approaches were tested against numerically generated data and real experimental data obtained with INFILTRON-exp, a specific large ring infiltrometer deployed on several experimental sites.

 First, we validated the proposed sets against numerically generated data for six different synthetic soils representing contrasting behaviors (sand, loam, silt, etc.). The synthetic data were generated with HYDRUS. The cumulative infiltrations were then compared, and the performance of the proposed sets of models was assessed. The results confirm that some sets fit well, whereas others are less accurate. The results also depended on the considered initial conditions.

Then, INFILTRON-mod was extended to the modeling of bioretention systems with the implementation of all the components of the hydrologic cycle (evapotranspiration, overflow, exfiltration to surrounding soils, water storage in the filter, and underdrain discharge). The different sets of models were then compared to observations from the Wicks Reserve Bioretention Basin (Melbourne, Australia), including the height of water in the filter layer and the outflow fluxes. The sets of models were then calibrated using two rainfall events before being validated over 20 rainfall events. The model performance was assessed for both the single and dual permeability approaches. We obtained very good fits of the experimental data with a median NSE above 0.8 for outflows, particularly for two infiltration models with the dual permeability approach, demonstrating the benefit of including preferential flows in the model. Our findings will help to develop the INFILTRON-mod package for modeling water infiltration into heterogenous soils and modeling bioretention systems.

How to cite: Asry, A., Lipeme Kouyi, G., Bonneau, J., Fletcher, T. D., and Lassabatere, L.: Modeling bioretention systems using different sets of simplified preferential infiltration models, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9245, https://doi.org/10.5194/egusphere-egu22-9245, 2022.

EGU22-9617 | Presentations | SSS6.5

Use of apparent flow dimension in transient pressure analysis to evaluate non-uniform flow in heterogeneous porous media 

Kunwar Mrityunjai Sharma, Benoit Dessirier, Chin-Fu Tsang, and Auli Niemi

In well-test analysis, the generalized radial flow (GRF) model uses the non-integer flow dimension to describe the change in flow area with respect to radial distance from borehole due to non-uniform flow (Barker, 1988). But the flow dimension not only depends on the change in flow area but also on the permeability variance in the flow medium. Therefore, in our present study, the flow dimension, due to the combined effect of change in flow volume and permeability variance, is termed AFD, the apparent flow dimension.  AFD can be determined as the second derivative of the drawdown-time plot from pressure transient testing and can have variable non-integer values as a function of time. This study presents a comprehensive set of analyses using rectangular channel networks representing multidimensional porous medium, starting from 1D (where the flow volume remains one-dimensional) and proceeding to 3D systems. We investigate the effect of conductance variance between the connected flow channels in a constant flow transient well test with the objective of formulating a relationship between conductance variance and AFD. Results in the one-dimensional case demonstrate that the AFD changes substantially as a function of channel conductance variation. Thus, the AFD increases abruptly when the propagating pressure reaches a high conductance channel, and it decreases when the pressure finds a channel with a lower conductance. The impact of conductance contrast on apparent flow dimension variation is summarized as a generalized plot of AFD upsurge/drop and conductance contrast between successive flow channels. In 2D and 3D systems, the channeling or preferential flow effect of the heterogeneous porous medium is also studied with the help of flow dimension analyses. The heterogeneity is introduced into the 2D network statistically through conductance distributions with varying variance values. The calculated flow dimensions, smaller than the corresponding dimension values, indicate the presence of flow channeling in the network (Verbovšek, 2009).  Channelization in a 2D porous heterogeneous system is examined as a function of the conductance variance, and it is found that channeling tends to result from the larger variance of the conductance distribution. Following the investigation of the 1D and 2D porous media, similar ideas are applied to the 3D channel networks representing 3D systems in order to investigate both steady-state and transient flow problems. Results from this study provide new insight and the possibility of using transient pressure tests to supplement multiple single well tests, interference tests, and tracer transport tests for the characterization of the heterogeneous porous medium.

 

Barker, J. A. (1988). A generalized radial flow model for hydraulic tests in fractured rock. Water Resources Research, 24, 1796–1804.

Verbovšek, T. (2009). Influences of Aquifer Properties on Flow Dimensions in Dolomites. Groundwater, 47(5), 660–668. https://doi.org/https://doi.org/10.1111/j.1745-6584.2009.00577.x

How to cite: Sharma, K. M., Dessirier, B., Tsang, C.-F., and Niemi, A.: Use of apparent flow dimension in transient pressure analysis to evaluate non-uniform flow in heterogeneous porous media, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9617, https://doi.org/10.5194/egusphere-egu22-9617, 2022.

Environmental impacts of open-pit coal mining include issues such as fire risk, large-scale slope instability and groundwater contamination. Because of the man-made landforms used to cover open-pit mines and the coal material itself, soil hydrology can be affected in a way that non-uniform fluxes and preferential flow may occur. The aim of this study was to evaluate soil hydraulic properties of open-pit mines and coal material and to implement dual porosity approach into numerical experiments to quantify non-uniform fluxes and slope stability. Water retention and hydraulic conductivity curves were estimated for both coal and clay (overlaying material) using the combination of Dewpoint potentiometer WP4C and HYPROP devices. Mechanical properties were determined additionally using the Unconfined Compressive Strength test. Numerical simulations have been performed using HYDRUS 2D/3D and associated SLOPE CUBE module to assess the hydrological and mechanical behavior of coal-cover slope models under different climatic scenarios. Results showed that coal has very different hydraulic properties from the soil, with three to four orders of magnitude smaller saturated hydraulic conductivity, two orders of magnitude larger air entry point, and larger material strength parameters. The effects of present cracks/fractures on hydraulic properties of both, soil cover and coal have been taken into account by the bimodal properties determined using an extended van Genuchten-Mualem (Durner) model. Comparison of hydraulic conductivity curves indicates that the identified cracks/macropores play an important role in increasing hydraulic conductivity when the material is close to saturation. Therefore, 5% and 10% crack-weighting factors were adopted in numerical simulations for coal and topsoil/cover, respectively. The underlying coal changes its pore size distribution dramatically, depending on the degree of drying, which was confirmed during evaporation experiments. Numerical experiments showed higher risk to slope stability during the wetter years, albeit still on an acceptable level. The challenge remains on how to adequately quantify water balance in coal material with present preferential flow, and with the additional complexity of changing pore size distribution properties over time.

How to cite: Baumgartl, T., Shao, Q., and Filipović, V.: Using the Dual Porosity Approach to Quantify Non-uniform Fluxes for the Estimation of Hydrological and Stability Performance of Sloped Covers over Coal, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10859, https://doi.org/10.5194/egusphere-egu22-10859, 2022.

EGU22-11649 | Presentations | SSS6.5

Predicting the hydraulic properties of Zbraslav sand, as affected by compaction 

Soheil Safari Anarkouli and Martin Lanzendörfer

Zbraslav sand has been used as a testing material in many former soil mechanics studies. It is a poorly graded sand with almost no fines and with grains of subangular shape. We will be interested in predicting the variation of its pore structure, in particular the pore size distribution (PSD), as a result of the oedometric compaction of the sample. Apart from the derived unsaturated hydraulic properties, we will be particularly interested in predicting its saturated permeability with respect to non-Newtonian (shear-thinning) fluids.

Clarifying and quantifying the dynamics of the PSD due to compaction will be a difficult undertaking owing to the instability of soil structure and variation of PSD over time. In this study, we will follow the discrete approach during the sand compaction process introduced by Mahmoodlu et al. [1] and later studies. Discrete element method (DEM) can directly trace the motion of individual particles and explicitly consider the particle–particle interactions without the need of macroscopic constitutive correlations. We will use this method to generate a packing of idealized particles for a certain porosity and particle size distribution, and simulate the movement of grains during the compaction process. Subsequently, having the simulated configuration of grains at each observed state, the pore network will be extracted to obtain the pore connectivity and morphology [2]. In the next step, the flow of various shear-thinning fluids through the media (the pore network) will be simulated [3, 4]. In this way, we are preparing for a subsequent study focused on the experimental measurement of the effective PSD directly during the oedometric test. We are particularly interested in how the observed variations in pore structure will be represented by the effective PSD obtained by the method, introduced by Abou Najm et al. [5], i.e. computed from the observed permeabilities with respect to shear-thinning fluids.

This research is supported by Czech Science Foundation under grant 21-27291S.

 

References:

[1] Mahmoodlu, M. G., Raoof, A., Sweijen, T., & Van Genuchten, M. T. (2016). Effects of sand compaction and mixing on pore structure and the unsaturated soil hydraulic properties. Vadose Zone Journal, 15(8).

[2] Li, G. Y., Zhan, L. T., Hu, Z., & Chen, Y. M. (2021). Effects of particle gradation and geometry on the pore characteristics and water retention curves of granular soils: a combined DEM and PNM investigation. Granular Matter, 23(1), 1-16.

[3] de Castro, A. R., Agnaou, M., Ahmadi-Sénichault, A., & Omari, A. (2020). Numerical porosimetry: Evaluation and comparison of yield stress fluids method, mercury intrusion porosimetry and pore network modelling approaches. Computers & Chemical Engineering, 133, 106662.

[4] Hauswirth, S. C., Abou Najm, M. R., & Miller, C. T. (2019). Characterization of the pore structure of porous media using non‐Newtonian fluids. Water Resources Research, 55(8), 7182-7195.

[5] Abou Najm, M. R., & Atallah, N. M. (2016). Non-Newtonian fluids in action: Revisiting hydraulic conductivity and pore size distribution of porous media. Vadose Zone Journal, 15(9).

How to cite: Safari Anarkouli, S. and Lanzendörfer, M.: Predicting the hydraulic properties of Zbraslav sand, as affected by compaction, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11649, https://doi.org/10.5194/egusphere-egu22-11649, 2022.

EGU22-12859 | Presentations | SSS6.5

The impact of preferential flow on Temperate Highland Peat Swamps on Sandstone soil hydrology 

Yusong Wang, Mandana Shaygan, Neil McIntyre, and Thomas Baumgartl

Temperate Highland Peat Swamps on Sandstone (THPSS) are ecological communities that consist of either ephemeral or permanent swamps developed in peat overlying Triassic sandstone formations in the Sydney Basin Bioregion of eastern Australia. THPSS with distinctive vegetation play an important role in biodiversity, carbon capture and storage, and the regional hydrological cycle. Some THPSS of Sydney Basin have underlying sandstone with cracks potentially formed over the past decades by human intervention. These cracks may create preferential flow paths that may accelerate the drainage process at the bottom of the swamps and may affect the soil moisture conditions of the swamps with ecological consequences. In order to understand and predict the impact of cracks on the swamps’ soil moisture and provide information to guide the management and restoration of the THPSS, 2D numerical simulations have been carried out using dual-porosity hydraulic models or explicit fast flow paths to represent the preferential flow paths. The models are calibrated and validated against historical soil moisture data and then used to evaluate the effect of cracks on soil moisture.

How to cite: Wang, Y., Shaygan, M., McIntyre, N., and Baumgartl, T.: The impact of preferential flow on Temperate Highland Peat Swamps on Sandstone soil hydrology, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12859, https://doi.org/10.5194/egusphere-egu22-12859, 2022.

EGU22-13015 | Presentations | SSS6.5

Assessing interactions between preferential flow and antibiotic transport in soils 

Ryan Stewart and Jesse Radolinski

Organic contaminants such as antibiotics are being applied to soils in increasing loads. These chemicals can be rapidly transported via preferential flow, making it important to understand and quantify soil-solute interactions under bypass flow conditions. In this study we applied deuterium-labeled rainfall to field plots containing manure spiked with eight common antibiotics, and collected pore water samples from 48 suction cups spread along a hillslope. In total we collected more than 700 measurements across the eight antibiotics. Our results indicated that solute transport to lysimeters was similar between antibiotics when preferential flow was less than 15%. When preferential flow exceeded 15%, however, compounds with relatively low affinity for soil were sampled in higher concentrations, suggesting that preferential flow mobilizes compounds that are more easily released from the soil matrix. Our findings show that extensive preferential flow can enhance, rather than reduce, the influence of chemical properties. These data provide new insight into how flow heterogeneity affects pollutant mobility in soils and can be used to build more accurate process-based transport models.

How to cite: Stewart, R. and Radolinski, J.: Assessing interactions between preferential flow and antibiotic transport in soils, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13015, https://doi.org/10.5194/egusphere-egu22-13015, 2022.

EGU22-1688 | Presentations | SSS6.6

Soil properties respond to crust forming under variable simulated rainfall events 

Lin Lin, Patric Yemeli Lonla, and Wim Cornelis

Soil surface crusting is a common phenomenon on agricultural soils susceptible to rainfall drop impact. Crust affects soil hydrological properties, erosion, crop quality and yield, which implicates both agriculture and the environment. Whereas methods for determining hydraulic or basic properties of soil layers (such as thicker than 2 cm) are well established, measuring the soil characteristics of a thin crust (< 5 mm) remains a challenge. Therefore, in this study, we combine traditional lab methods and advanced techniques to test the variation in soil properties during the crust forming process. Composite samples from two soil textures were collected, dry-sieved at 8 mm, packed in soil pans and exposed to a range of rainfall amounts and two rainfall intensities, using a laboratory nozzle-type rainulator. Intact soil ring samples were collected after each rainfall event and scanned using X-ray Computed Tomography (CT) to gain more insight into rainfall-induced crust formation. Soil porosity, bulk density and the thickness of crust were derived from CT scans. Meanwhile, a scanning electron microscope (SEM) was employed to verify the variation of the crust layer thickness and soil properties. In addition, the water retention and infiltration dynamics of the developing seals were investigated with a minidisk infiltrometer placed on the crusts developed in the pans and a falling head permeameter (KSAT®) and evaporation method (HYPROP®) on soil cores taken. Shear strength was evaluated by hand vane. Disturbed soil was collected to explore variation in organic matter content and texture with rainfall. During the simulated rain events, soil loss, splash and runoff were followed as well. Overall, the purpose of this study was to reveal temporal variations of seal micro-morphology and their effect on soil properties with increasing rainfall amount. Our results showed the runoff volume and sediment mass increased, while splash and infiltration volume decreased with the increase in rainfall amount. Shear strength increased until 200 mm of rainfall. Additionally, (crust forming) rainfall amount had a rapid and strong effect on the hydraulic properties, with the unsaturated hydraulic conductivity being reduced as rainfall duration increased and the high rainfall intensity having a greater impact. These results were associated with rainfall-induced aggregate breakdown processes, which was confirmed by SEM images. It also demonstrated that crust development occurred up to at least 200 mm rainfall after cultivation. In summary, it was possible to illustrate the structural seal formation process and the temporal interrelated dominance and significance of the associated sub-processes which contribute to overcoming the challenge of testing the thin crust (< 5 mm).

How to cite: Lin, L., Yemeli Lonla, P., and Cornelis, W.: Soil properties respond to crust forming under variable simulated rainfall events, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1688, https://doi.org/10.5194/egusphere-egu22-1688, 2022.

EGU22-2573 | Presentations | SSS6.6

Soil compressive behavior: a global assessment of research outputs 

Lorena Chagas Torres, Loraine ten Damme, Alena Holzknecht, Maria Dietrich, Attila Nemes, and Thomas Keller

Understanding the compressive behavior of soils is essential for establishing management strategies to reduce the risk of soil compaction. Soil compressive properties such as precompression stress, compression index, and swelling index are used to estimate the stress-strain relationship of soil, i.e., the changes of soil volume as a function of applied stress. However, there is no consensus regarding the influence of basic soil physical properties and conditions, such as soil texture, organic carbon content, clay mineralogy, water content, and bulk density on soil compressive properties. Moreover, soil compressive behavior has been measured following non-standardized methods, for example regarding sample size, loading time, methods to obtain the compressive properties from the stress-strain curve, and stress components and packing state of the soil by which the soil compressive behavior can be expressed. These differences in methodology influence the obtained values of soil compressive properties, make comparisons difficult, and limit our understanding of the soil’s stress-strain relationship. We conducted a comprehensive literature study in search of quantifications of compressive properties of agricultural and forest soils, such as precompression stress, compression index, and swelling index, in peer-reviewed articles from the Web of Science and Scopus databases, which currently includes more than 200 articles. We systematically collected the compressive properties as well as information on the soil, soil conditions, methodologies, and other relevant information for each of the published studies. A large part of data originates from a limited number of laboratories in Brazil, Denmark, Germany, Iran, and Sweden, while other parts of the world are less or not represented. We find large variability in soil mechanical properties, that is associated both with variability in soil texture and land use but also with methodological issues. Initial soil moisture was identified as a key driver of soil mechanical properties. Our database allows compiling, synthesizing, and analyzing the data in favor of a comprehensive establishment of relationships between basic soil physical attributes and compressive properties. At the same time, the database is used to identify knowledge gaps and future directions for studies. These findings help the potential development of pedotransfer functions to improve estimations of the soil response to compaction, and to provide a research agenda for a more unified approach for the study of soil compressive properties.

How to cite: Chagas Torres, L., ten Damme, L., Holzknecht, A., Dietrich, M., Nemes, A., and Keller, T.: Soil compressive behavior: a global assessment of research outputs, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2573, https://doi.org/10.5194/egusphere-egu22-2573, 2022.

EGU22-3581 | Presentations | SSS6.6

Effects of load and repeated wheeling from lightweight autonomous field robots on soil structure 

Alvaro Calleja Huerta, Mathieu Lamandé, Ole Green, and Lars Juhl Munkholm

Lightweight agricultural robots are expected to be widely used in the future and will use the same tracks for many operations within a season (i.e. repeated wheeling) and perhaps across seasons. The objectives of this study were to characterize the effects of repeated wheeling and wheel load from the traffic of a lightweight autonomous field robot on soil structural properties and the potential risk of soil compaction.

The experiment was conducted on sandy loam soil at water content close to field capacity. The field had not been tilled for approx. a year and stubbles were remaining from the previous crop. The robot used for the experiment was the AGROINTELLI ROBOTTI 150D. In total, three wheeling scenarios with one, five and ten passes were conducted both with the robot alone (3.3 Mg, inflation pressures 60-80 kPa) and at its maximum load with an implement (3.8 Mg, inflation pressures 70-90 kPa). For each treatment, rut depth and apparent cohesion were measured in the field and soil cores were taken at 10 cm depth for measuring air permeability (ka) and effective air-filled porosity (εpyc) in the laboratory.

The results show that both wheel load and repeated wheeling had a significant effect on rut depth and apparent cohesion. Rut depth seemed to increase linearly with the number of wheel passes. However, apparent cohesion decreased after one pass, then increased linearly with the consecutive passes. Thus, a single pass weakened the soil structure and made it more sensitive to compaction for the following passes. Both ka and εpyc, decreased significantly with repeated wheeling but not with wheel load. The average value of ka at the tenth wheel pass was 7 µm2, being five times lower than the first pass for both loads. The values of εpyc for the fifth and tenth passes were similar for both loads (approx. 0.15 cm3∙cm-3). This was not the case for the value of the first pass, which was higher for the robot alone compared to loaded (0.21 and 0.17 cm3∙cm-3 respectively), although not significantly. 

Repeated wheeling from lightweight autonomous field robots can cause significant compaction even for a soil that has not been tilled recently. Even though soil properties were not critical for crop growth, the compacted wheel tracks may serve as hotspot areas e.g. water erosion. Thus, attention should be drawn towards avoiding traffic and limiting the number of wheel passes.

How to cite: Calleja Huerta, A., Lamandé, M., Green, O., and Munkholm, L. J.: Effects of load and repeated wheeling from lightweight autonomous field robots on soil structure, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3581, https://doi.org/10.5194/egusphere-egu22-3581, 2022.

EGU22-5244 | Presentations | SSS6.6

Remediation of subsoil compaction by subsoiling and deep rooting crops 

Adriaan Vanderhasselt, Laura Steinwidder, Tommy D'Hose, and Wim Cornelis

Soil compaction forms a major threat to the well-functioning of agricultural soils. By reducing the pore volume and continuity both crop growth and ecological services, like water infiltration and storage, can be negatively impacted. It is often most severe at the interface between topsoil and subsoil, just out of reach of regular tillage operations. At this depth a plough pan can be formed, restricting interaction between top- and subsoil for roots, and gas and water transport. In this study we looked at a combination of mechanical and biological remediation to alleviate this problem. The experiment was performed on a sandy loam field near Ghent, Belgium with a highly compacted plough pan, which almost completely restricted roots to reach the subsoil and was practically impermeable for gases. Subsoiling was performed once in three different maize-based cropping systems: forage maize in monoculture, a ley-arable crop rotation with two years of alfalfa and a maize-winter cereal rotation.

The mechanical remediation (subsoiling) clearly helped to break open the restricting plough pan. Rootablility and air permeability clearly increased, leading to a significant increase in maize yield. On a longer time scale, however, we observed that this loosened soil was very prone to recompaction. In the second year after the subsoiling the highly compacted plough pan returned. This same year also showed no difference between the subsoiled and untreated control in maize yield.

To see if deep rooting crops can help stabilize the loosened soil after subsoiling, this study included treatments with fodder radish and alfalfa as (cover) crops. These crops showed a high rooting density in the subsoil, especially where the tines of the subsoiler had passed. Although this did not seem to improve the overall physical soil quality, it did protect the soil from complete recompaction. The penetration resistance did not markedly increase after standard agricultural practice.

How to cite: Vanderhasselt, A., Steinwidder, L., D'Hose, T., and Cornelis, W.: Remediation of subsoil compaction by subsoiling and deep rooting crops, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5244, https://doi.org/10.5194/egusphere-egu22-5244, 2022.

EGU22-5285 | Presentations | SSS6.6

Peat macropore networks and their conceptual implications for methane production and emission 

Petri Kiuru, Marjo Palviainen, Tiia Grönholm, Maarit Raivonen, Lukas Kohl, Vincent Gauci, Iñaki Urzainki, and Annamari (Ari) Laurén

Peatlands are globally significant modulators of biogeochemical cycles and important natural sources of methane. The emissions are strongly influenced by the diffusion of oxygen into the peat and the diffusion of methane from the peat to the atmosphere. The structure of peat macropore networks controls the gas transport. The characterization of peat pore structure and connectivity using complex network theory methods can give important conceptual insight into the relationship between the microscale pore space characteristics and methane emissions on a macroscopic scale. Both gas transfer in unsaturated peat and the evolution of the connected air-filled pore space can be conceptualized through a pore network modeling approach. Pores that become isolated from the atmosphere may eventually develop into anaerobic pockets, which are local hotspots of methane production in unsaturated peat.
We extracted macropore (diameter greater than 0.1 mm) networks from three-dimensional X-ray micro-computed tomography (micro-CT) images of peat samples collected from a boreal forested peatland and evaluated local and global connectivity metrics for the networks. We also simulated the soil-water retention curves of the peat samples using pore network modeling and compared the results with measured water retention characteristics. There were fundamental differences in macropore structure and connectivity between vertical peat layers. Macropore connectivity was higher and the flow routes through the peat matrix were less tortuous in the near-surface peat than in the deeper layers. Furthermore, the number and volume of macropores, the average width of pore throats, and the structural anisotropy of peat decreased with depth. Therefore, gas exchange with the atmosphere may be slowed down because of narrower and more tortuous air-filled diffusion channels as the distance between the peat layer and the soil-atmospheric interface increases.
The network analysis also suggests that local and global network connectivity metrics, such as the network average clustering coefficient and closeness centrality, might be proxies for gas diffusion capability in air-filled pore networks. However, the applicability of the metrics was restricted to the topmost peat layer with high porosity. The spatial extent and larger-scale connectivity of the network and the spatial distribution of the pores within the network may be reflected in different network metrics in contrasting ways.
The hysteresis of peat water content was found to affect the evolution of the interconnected air-filled pore volume in unsaturated peat. Therefore, the volume available for the formation of anaerobic pockets may be smaller and methane production may be slower in wetting conditions than in drying conditions. This hysteretic behavior might be one of the reasons behind observed hotspots and episodic spikes of methane emissions, and therefore hysteresis should be included in biogeochemical models describing methane dynamics in peat.

How to cite: Kiuru, P., Palviainen, M., Grönholm, T., Raivonen, M., Kohl, L., Gauci, V., Urzainki, I., and Laurén, A. (.: Peat macropore networks and their conceptual implications for methane production and emission, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5285, https://doi.org/10.5194/egusphere-egu22-5285, 2022.

EGU22-5876 | Presentations | SSS6.6

Soil structure changes of engineered soils in bioretention cell 

Petra Heckova, Michal Snehota, John Koestel, Ales Klement, and Radka Kodesova

Engineered soils play an important role in urban hydrology e.g. in the functioning of green roofs and stormwater bioretention cells. Water infiltration, colloid transport, and heat transport are affected by changes in pore system geometry particularly due to the development of macropores and clogging by particles. The rate of pedogenesis is often faster than in natural soils due to higher loads of particles as well as by extreme water regimes. In the presented research we assess the temporal changes of soil structure of engineered soils in typical bioretention beds by conducting field scale and laboratory experiments. The aim is to elucidate changes in bioretention cell performance by studying the structural changes of soils at the microscale by invasive and noninvasive methods. Noninvasive visualization methods such as computed microtomography (CT), are an effective mean of soil structure assessment. X-ray CT is capable to investigate soil in terms of structure development, pore-clogging and pore geometry deformations.

Two identical bioretention cells were established in December 2017. The first bioretention cell (BC1) collects the stormwater from the roof of the nearby experimental building (roof area 38 m2). The second bioretention cell BC2 is supplied from a tank using a controlled pump system for simulating artificial rainfall. Each BC is 2.4 m wide and 4.0 m long. The 30 cm thick biofilter soil mixture is composed of 50% sand, 30% compost, and 20% topsoil. Bioretention cells are isolated from the surrounding soil by a waterproof membrane. The regular soil sampling program was initiated in 2018 in order to visualize and quantify the soil structure and internal pore geometry of samples. Undistributed samples were collected from the surface of the filter layer twice a year from each BC. The aluminum sampling cylinders had an internal diameter and height of 29 mm. Three batches of samples were taken during three years. The first set of 24 undisturbed samples was collected upon planting in June 2018, while the second set of 24 samples was taken after the end of the first vegetation period in November 2018. The second and third batches, each of 48 samples, were taken in 2019 and 2020 in the same period as in the first year.  Those collected samples were scanned by (CT) imaging.

The analysis performed by SoilJ package shows the initial decrease of macroporosity during the first season as a result of soil consolidation and subsequent further development of the soil's pore system.

How to cite: Heckova, P., Snehota, M., Koestel, J., Klement, A., and Kodesova, R.: Soil structure changes of engineered soils in bioretention cell, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5876, https://doi.org/10.5194/egusphere-egu22-5876, 2022.

EGU22-6630 | Presentations | SSS6.6

How various surface covers affect soil structure and hydraulic properties 

Miroslav Fér, Antonín Nikodem, Aleš Klement, and Radka Kodešová

Different land uses significantly affect the soil water and temperature regimes. Very different modifications of the soil surface are found especially in the urban environment, where different materials, which are used in gardening and civil engineering, are used to cover soil surface. Alternations of these regimes due to modifications of soil covers may lead to changes in soil properties. Therefore, the goal of this study was to find out how soil properties, particularly soil structure and soil hydraulic properties changed during our experiment, which has been mainly focused on the monitoring of soil water and thermal regimes under five different surface covers (bare soil, bark chips, concrete, mown grass, and unmown grass). The surface of a Haplic Chernozem (which was originally coverd by grass) was modified in the autumn 2012. Since then, climatic conditions are monitored, and soil water contents and temperatures are measured at the depths of 10, 20, 30, 40, 60, and 80 cm. In the summer 2020, after removal of the surface over, intact soil samples were taken, on which the hydraulic properties were measured using the multistep outflow method. Another set of the undisturbed soil samples was used to study soil structure using the X-Ray computer tomography. In addition, these samples were next used to prepare thin soil slides for micromorphological analyses. Along with soil sampling, the measurement of some characteristics took place directly in the field. The mini disk tension infiltrometer with a disk radius of 2.22 cm was used to measure unsaturated hydraulic conductivities for pressure head of –2 cm. The net CO2 and net H2O efflux were measured using the LCi-SD portable photosynthesis system with a Soil Respiration Chamber. The CT and micromorphological analyzes showed that while the soil under the bare surface showed small aggregates and small interaggregate pores, the soil under the grass cover was formed by large aggregates with large pores formed by roots and organisms living in soils. Soil structure under concrete or bark chips was compact with thin fractures and few pores created by organisms living in soils. However, porosity under bark chips was larger than that under concrete likely due to better conditions, i.e., larger amount of the organic matter content due to the decomposition of organic mulch. Measured soil properties reflected character of soil structure.

Acknowledgement: Study was supported by the European Structural and Investment Funds, projects NutRisk (No. CZ.02.1.01/0.0/0.0/16_019/0000845).  

How to cite: Fér, M., Nikodem, A., Klement, A., and Kodešová, R.: How various surface covers affect soil structure and hydraulic properties, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6630, https://doi.org/10.5194/egusphere-egu22-6630, 2022.

EGU22-7914 | Presentations | SSS6.6

Assessment of two modelling approaches for soil compaction risk based on wheeling experiments 

Julius Jonathan Weimper, Raimund Schneider, Judith Koschorke, Lukas Wald, Matthias Trapp, Markus Casper, and Christoph Emmerling

Soil compaction by agricultural vehicles is regarded as a threat to soil functions. An important strategy to mitigate traffic-induced compaction might be avoidance of traffic on soils which are currently highly susceptible to compaction and adaption of machinery to site conditions. A spatial decision support system (sDSS) for farmers might help to reduce compaction risks by providing model-based information on site-specific, current compaction risk. As one part of the project "Smart Soil Information for Farmers", published models for compaction risk were assessed regarding their potential for implementation in an app-based-sDSS. As a first step, these models are evaluated based on wheeling experiments for selected sites and vehicles. Pre-selection of models resulted in two combinations that differ in terms of the required input data and the underlying modelling concept:

  • Combination 1 (C1) derives the precompression stress as a measure of soil strength parameter using pedotransfer functions and calculates compaction risk based on semi-analytical solutions for stress transmission (according to Keller et al., 2007).
  • Combination 2 (C2) derives the compaction risk according to Lorenz et al. (2016) as a combination of a susceptibility class (based on soil texture and moisture) and a load-input class from machinery parameters.

Evaluation of modelling results is based on wheeling experiments on two test sites (loamy sand vs. clayey loam) and different agricultural vehicles (total mass 10 to 38 t). Compaction by vehicles was assessed by measuring soil physical and mechanical parameters before and after wheeling. Soil physical measurements included dry bulk density, pore size distribution, water and air conductivity. Mechanical parameters included in situ soil stress during passage of vehicles, precompression stress and shear strength.

In all experiments, traffic had clear negative effects on physical properties in the topsoil (increase in bulk density, decrease in air capacity and water/air permeability). In the subsoil, only small effects were found for changes in physical and mechanical properties. This can presumably be explained by a “plough-pan” that increased load-bearing capacity.

Comparing both models, it was found that C1 generally tends to predict higher compaction risks than C2. For the topsoil, C1 was able to predict the observed effects better than C2. For the subsoil, relatively small observed effects were generally better represented by model C2, which predicted lower risks than C1 for the subsoil.

References

  • Keller et al.: SoilFlex: A model for prediction of soil stresses and soil compaction due to agricultural field traffic. Soil and Tillage Research 93 (2007), 2/391–411
  • Lorenz et al: Anpassung der Lasteinträge landwirtschaftlicher Maschinen an die Verdichtungsempfindlichkeit des Bodens. Landbauforschung (2016), 66/101–144

How to cite: Weimper, J. J., Schneider, R., Koschorke, J., Wald, L., Trapp, M., Casper, M., and Emmerling, C.: Assessment of two modelling approaches for soil compaction risk based on wheeling experiments, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7914, https://doi.org/10.5194/egusphere-egu22-7914, 2022.

EGU22-8058 | Presentations | SSS6.6

Hybrid modelling of saturated water flow in percolating and non-percolating macroporous soil media 

Krzysztof Lamorski, Bartłomiej Gackiewicz, Mykola Kochiieru, Cezary Sławiński, Shao-Yiu Hsu, and Liang-Cheng Chang

The saturated water flow phenomenon is determined by the soil pore transport processes occurring at a microscale. In this study, saturated water flow was modeled using two different approaches, depending on the existence of the percolating macropore network. The soil material comprised 26 undisturbed soil cores. Soil samples were scanned using an X-ray micro-CT scanner, and saturated hydraulic conductivity (Ksat), bulk density and particle size distribution were measured. The macropore network was percolating in 11 samples, while the remaining cores were not. A typical approach based on Navier–Stokes (NS) equations was used for saturated water flow modeling in the case of a percolating samples. In the case of cores with a non-percolating macropore network, the NS modeling approach could not be used. An alternative method of modeling (NS/Darcy) was used in this case, blending: regular NS flow in the well-defined macropores with the Darcy–Forchheimer flow in the remaining part – the soil matrix. Soil matrix is treated by the NS/Darcy model as a pore medium without well-defined pore geometry but with some intrinsic permeability incorporated in the model using the Darcy–Forchheimer equation. Unlike the NS approach, the NS/Darcy model allowed for the simulation of water flow for all soil samples, including those where the macropore network was not percolating. Based on simulations, the Ksat was estimated used for model validation. The analysis of results leads to the proposal of a new hybrid modeling approach, mixing the NS and NS/Darcy modeling approaches. A good estimation of the Ksat was obtained using the proposed model (R2 = 0.61). The NS/Darcy modeling approach was used for the analysis of the macropore flow in the soil media. The simulations show that water permeates through the core, but macropores are a favorable flow path if they exist, even if they are not directly connected to each other. The areas of the soil cores taking part in the preferential, macropore flow were quantified, showing that only a small fraction of the macropores take part in water flow both for percolating and non-percolating cores. But generally, for most of the analyzed flow-related indices, apparent differences in results between percolating and non-percolating samples were observed. Effective flow area (EFA), i.e., the sample area used for water flow with a velocity higher than the threshold velocity (Utr) was analyzed. Considering the macropore flow, only ~2% of sample volume is responsible for: 82% of the total flux in case of percolated and 34% in case of non-percolated samples. The simulation results for the non-percolating samples revealed the relationship between the simulated saturated conductivity of the whole soil sample and the saturated conductivity of the soil matrix and macroporosity. This allowed for developing a simple multiple linear regression model (R2 = 0.98) of the soil core’s hydraulic conductivity.

This work was partially supported by a grant from the Polish National Centre for Research and Development within contract no.: PL- TW/IV/5/2017, and Taiwanese Ministry of Science and Technology: MOST-106-2923-E-009-001-MY3. 

How to cite: Lamorski, K., Gackiewicz, B., Kochiieru, M., Sławiński, C., Hsu, S.-Y., and Chang, L.-C.: Hybrid modelling of saturated water flow in percolating and non-percolating macroporous soil media, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8058, https://doi.org/10.5194/egusphere-egu22-8058, 2022.

EGU22-8186 | Presentations | SSS6.6

Variation of soil microaggregate stability as a function of WRB reference soil groups and diagnostic properties 

Viktória Labancz, Gyöngyi Barna, Tamás Szegi, Andrzej Bieganowski, Zsófia Bakacsi, Tibor Novák, and András Makó

Microaggregates are structural elements of the soil smaller than 250 µm. These microaggregates are composed from diverse mineral, organic and biotic materials that are bound together during the process of pedogenesis (through a variety of ways and processes). According to the general theories, microaggregates are predominantly stabilized by organo-mineral complexes, which are relatively stable and are not easily degraded by changes in soil organic matter content as a result of land use and cultivation. At present, the relationship between soil processes and the formation of microaggregate stability needed further studies to gain a better understanding

In our study, we were looking for a quantifiable relationship between the stability of microaggregates and different soil reference groups and diagnostic properties. We examined 55 Hungarian soil profiles, which were selected on the basis of their various parameters. The stability of the microaggregate was determined by laser diffractometry (LDM) with a Malvern Mastersizer 3000, Hydro LV dispersion unit, as the ratio of dispersed to non-dispersed clay content. The measured data were sorted into a database and a statistical analysis were performed between the soils and WRB diagnostic properties of each reference group and the stability of the microaggregate. Based on our results, different significant soil groups could be identified, furthermore there is a good connection between the stability of the microaggregate and the soil reference groups. There is also a clear difference between the horizons of cultivated and uncultivated soils.

This research is supported through the common grant of the Hungarian and Polish Academy of Sciences (Grant No. NKM-2019-17) and by the Hungarian National Research, Development and Innovation Office Foundation (Grant No. OTKA K 119475).

How to cite: Labancz, V., Barna, G., Szegi, T., Bieganowski, A., Bakacsi, Z., Novák, T., and Makó, A.: Variation of soil microaggregate stability as a function of WRB reference soil groups and diagnostic properties, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8186, https://doi.org/10.5194/egusphere-egu22-8186, 2022.

EGU22-8258 | Presentations | SSS6.6

Soil pH Influences on Microbial Functional Responses to Crop Rotational Management and Field Translocation 

Jack Horne, Paul D Hallett, Fiona C Fraser, and Catriona Willoughby

Structural disturbance of soil such as that caused by tillage or translocation for infrastructure projects can induce changes in soil microbial functions eliciting large fluxes of CO2. Soil pH, often referred to as a master variable in the context of soil biology, exerts a strong influence on both the structure and function of microbial communities as well as the physical structure of the soil. In order to better understand the interaction of soil pH and large-scale physical disturbances in controlling these fluxes, we took the opportunity presented when moving an entire experimental field to a new location to look at how changing soil structural conditions influenced the activity of the microbial community. Soils under long-term (60 years) pH manipulation were dug from the original experimental site (Woodlands Field, SRUC, Aberdeen) and transported to a new experimental site less than 1 mile away (Aberdeen Cropping Experiment (ACE), Aberdeen), excavated soils were thoroughly mixed before reinstatement. This produced a significant decrease in bulk density and concomitant increase in macroporosity as expected (p = 0.027 and p = 0.021 respectively), with more pronounced changes at lower pH. There were consistent increases in the fraction of water-stable aggregates from the soil translocation, where the field averages of Woodlands and ACE were 91% and 95% respectively (p < 0.001). However, there were no discernible differences across the pH range (p = 0.641), despite greater changes occurring at lower pH treatments. We also observed changes in respiration rates of soils after translocation, rates were slightly increased at low pH, reduced at mid-range pH, and stable at high pH, although none of these were significant changes (p = 0.081). Soil pH was a dominant factor in controlling some aspects of the soil physical properties. Soil pH had variable magnitudes of influence, in particular, more acidic soils were more vulnerable to changes in the physical structure, where the volume of large pore spaces increased dramatically. This could explain the increased CO2 efflux in acidic soils, however, microbial communities in mid-range pH treatments demonstrated the greatest vulnerability to large-scale physical disturbance, which is likely due to the threshold pH determining their respiration pathway. This research demonstrates that soil management in large-scale disturbance should have altered management, guided by the soil pH. 

How to cite: Horne, J., Hallett, P. D., Fraser, F. C., and Willoughby, C.: Soil pH Influences on Microbial Functional Responses to Crop Rotational Management and Field Translocation, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8258, https://doi.org/10.5194/egusphere-egu22-8258, 2022.

EGU22-9585 | Presentations | SSS6.6 | Highlight

The bioporosphere and its role in soil functioning 

Nicolas Bottinelli

Along with roots, soil macrofauna such as earthworms, ants, termites, beetles and myriapods dramatically alter the physical architecture of soil with strong effects on the distribution and connectivity of pores, and therefore on key ecological functions such as water dynamics, gas exchanges, soil organic matter decomposition or storage. While most of the literature has focused on the properties of galleries and show their large variability, much less is known about the other pores produced by soil fauna (e.g., those agented between or within biogenic aggregates or those located around galleries).

Using examples from studies carried out in tropical and temperate soils, I show that the ‘trait-based’ approach in soil biology offers interesting perspectives for understanding the properties of biopores, and as a consequence of the impacts of soil fauna on water dynamics and biogeochemical cycling. Second, I show that galleries are not as stable as we imagine, indicating the need to quantify their dynamics. Finally, I show that macrofauna influence also the architecture of small pores with consequences on the dynamics of soil organic matter and other properties. To conclude, I introduce the “bioporosphere” as a new concept to integrate the complex effects of soil fauna on its functions.

How to cite: Bottinelli, N.: The bioporosphere and its role in soil functioning, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9585, https://doi.org/10.5194/egusphere-egu22-9585, 2022.

EGU22-9816 | Presentations | SSS6.6

Soil structure quality and biodiversity across a range of different practices and tillage intensities 

Ophélie Sauzet, Alice Johannes, Renée-Claire Le Bayon, Luc Scherrer, and Pascal Boivin

Soil structure degradation is considered a major threat to soil fertility in many regions, including the Swiss Jura. In order to investigate the extent of this degradation and the means to improve soil structure quality (SSQ) with different farming practices, a large scale project “Terres Vivantes” was launched in 2019 by the canton of Jura and Bern and is followed by a group of scientists.

90 farms, covering 3’000 ha of arable land with clay contents ranging from 16% to 60% are involved in the project. Two fields per farm were selected for closer investigation and monitoring. SSQ indicators included VESS and CoreVESS (visual evaluation on sample) scores, bulk density, water and air capacity at -100 hPa and soil organic carbon (SOC):clay ratio. Five VESS observations per field were made by the farmers via the VESS app for Smartphones/iPhones. Physical properties were analyzed on five undisturbed samples (150 cm3) per field at 5-10 cm depth. Texture, SOC, pH and CEC were determined on a composite sample. Earthworm abundance, biomass and diversity were measured after onion solution extraction and earthworm surface casts were collected and weighed. The farming practices of the past 5-10 years were documented and soil tillage intensity indicators were assessed (number of tillage and stubble operations, tillage depth, and STIR (soil tillage intensity rating)).

Our results show that the soils are carbon depleted as the SOC:clay ratio is in average below 0.10 threshold (0.08). VESS scores were in average Sq3, denoting a medium SSQ with a lack of aeration and of readily available water. Among a variety of farming practice descriptions, the temporary pasture duration and the number of tillage and stubble operations were significantly correlated to the following SSQ indicators: SOC:clay, bulk density and water content. Earthworm biomass was better correlated to the number of tillage and stubble operations than to the temporary pasture duration. These two farming practice descriptions also correspond to two of the three well-known pillars of conservation agriculture, namely maximum vegetal intensity and minimal mechanical soil disturbance.

In conclusion, the soils in the Jura region have medium SSQ and are carbon depleted. The effect of current farming practices can be observed on a series of biological and physical indicators and reveal conservation agriculture pillars as “best practices”. Future investigations from the project should reveal whether farmers will be able to adapt some farming practices and improve SSQ despite time and resource constraints.

 

How to cite: Sauzet, O., Johannes, A., Le Bayon, R.-C., Scherrer, L., and Boivin, P.: Soil structure quality and biodiversity across a range of different practices and tillage intensities, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9816, https://doi.org/10.5194/egusphere-egu22-9816, 2022.

EGU22-10889 | Presentations | SSS6.6

Acceleration of Organic Matter Decomposition by Tillage 

Teamrat Ghezzehei, Jennifer Alvarez-Sagrero, and Yulissa Perez-Rojas

Organic matter is a hallmark of healthy soils and soil functions. It is critical in developing a stable structure and is a significant reserve of resources for soil life. Soil carbon flux is also an essential regulator of atmospheric GHG concentrations and climate. Therefore, the stability and persistence of soil organic matter are considered a critical soil resiliency metric. Although the acceleration of soil carbon loss via disturbances such as tillage is widely recognized, we lack a predictive modeling framework that relates the tillage intensity to mineralization rates. Here, we show a framework that combines a model of soil structure evolution and water-retention-curve-based microbial moisture sensitivity function.  

How to cite: Ghezzehei, T., Alvarez-Sagrero, J., and Perez-Rojas, Y.: Acceleration of Organic Matter Decomposition by Tillage, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10889, https://doi.org/10.5194/egusphere-egu22-10889, 2022.

SSS7 – Soil Pollution and Reclamation

Metal pollution in surface soils of industrial and urban areas is of concern owing to risk to human health and ecosystem and to its transport via winds and water. This study was aimed to determine total concentrations, contamination levels and source identification of metals in surface soil (n=37) from the Bhiwadi Industrial Cluster (BIC; a satellite industrial township to New Delhi). Average metal concentrations in surface soil exceeded their corresponding values in Upper Continental Crust (UCC, taken as background here) and varied depending upon metal(s) and sampling sites(s). Intensive industrial emissions/activities in BIC lead to high contamination factors (CFs > 6) and high pollution load indices (PLI > 1) for metals in surface soil. Average CFs followed the order Cr > Cd > Ni > Cu > Zn > Pb > Mn > V > Fe. Geo-accumulation index (Igeo) of metals in surface soils fall under unpolluted to extremely polluted for Cd, Cr, Cu, Ni and Zn, unpolluted to heavily polluted for Mn and Pb and unpolluted to moderately polluted for Fe and V. Ecological risk assessment in surface soil samples showed low to extremely high potential ecological risk for Cr, Cu and Ni, considerable to extremely high ecological risk for Cd, low to considerable ecological risk for Pb and low ecological risk for Mn, V and Zn. Risk (RI) values indicated that 37.8% of surface soil samples carried very high risk (RI > 600) of metal contamination in this industrial cluster. Findings suggested that proper waste collection and disposal techniques should be employed to safeguard human health and ecological risk in the region.  

How to cite: Verma, A. and Yadav, S.: Metal Pollution And Ecological Risk Assessment In Surface Soil Of An Emerging Industrial Cluster Near New Delhi, India, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-461, https://doi.org/10.5194/egusphere-egu22-461, 2022.

Recycling and disposal of e-waste by informal sector in developing nations raise concerns due to its environmental consequences and human health hazards. In this study, metal toxicity and leaching behaviour of 13 metals (Ag, As, Ba, Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb, V, Zn).  were investigated in surface dust samples (n=20) of informal e-waste recycling area in New Delhi by using Waste Extraction Test (WET) and Toxicity Characteristic Leaching Procedure (TCLP). The WET and TCLP tests were developed by California’s Department of Toxic Substances Control (CDTSC) and the United States Environmental Protection Agency (USEPA) respectively to simulate landfill conditions for metal leaching under laboratory conditions. All metals were leached more in WET compared to TCLP. In WET test, Cd, Cr, Cu, Ni, Pb and Zn exceeded the prescribed threshold limits of CDTSC and failed the test whereas Cd and Pb exceeded the threshold limits of USEPA in TCLP. Though Cu, Ni and Zn are not regulatory metals in TCLP, but their leaching concentrations exceeded the threshold limits of CDTSC. In both the tests, Fe, Mn and Sn were also leached in considerable amounts. In WET, Sn (37.7) leached in maximum percentage followed by Cd (28.7), Zn (27.9), Pb (27.7), Co (21.1), Mn (14.8), Ni (11.4), Fe (8.5), V (7.6), Cu (7.5), Ba (3.5), Cr (2.9) and As (0.4) respectively; whereas in TCLP Co (20.7) leached maximum followed by Cd (17.1), Zn (12.8), Mn (7.1), Ni (6.7), Sn (4.9), Cu (3.1), Pb (2.2), Ba (1.1), Fe (0.4), V (0.3), Cr (0.2) and As (0.1) respectively. The WET test was found to be more aggressive in leaching of metals when compared to TCLP due to citrate ion chelation property. Leaching of metals higher than the threshold limits can cause contamination of soil, surface water and ground water in nearby areas and can affect the human health and environment. Therefore, there is needs to regulate policies and environmentally sound new technologies for e-waste recycling to safeguard the human health and environment.

How to cite: Kumari, H. and Yadav, S.: Metal Leaching from Surface Dust of an Informal E-Waste Recycling area in New Delhi, India, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-464, https://doi.org/10.5194/egusphere-egu22-464, 2022.

EGU22-2348 | Presentations | SSS7.2

Ca and Sr in the technozem of various ore deposits of Eastern Transbaikalia 

Guliaeva Uliana, Kuzmina Tatyana, and Ermakov Vadim

In the Urov sub-region of the biosphere (Eastern Transbaikalia), a local increased content of Sr in soils and plants was found due to high concentrations of Sr in soil-forming rocks (carbonated granites). The purpose of this study is to assess the concentrations of Ca and Sr in the technozem of dumps and quarries of seven developed deposits (W-Mo, Mo-Cu, Pb-Zn, Au). The fraction of technozem (< 1 mm) was ground to a grain size of 150-200 mesh and analyzed by XRF. The content of Ca and Sr in plant mowing was determined by the flame variant of AAS. It was found that the content of Ca and Sr in 25 samples of technozem varied between 4970-37200 mg/kg (Ca) and 100-620 mg/kg (Sr). The average content of Sr is 308 ± 122 mg/kg. The increased Sr content was characteristic of carbonate technozems with an increased level of Ca (Mo-Cu ore occurrence). Increased accumulation of Ca and Sr in mowing plants was found in the technozems of the Zhireken Mo-Cu deposit: 35100 mg/kg (Ca) and 397 mg/kg (Sr). In general, the concentrations of Ca and Sr in technozem approach to their content in conditionally background soils and do not significantly contribute to the pollution of natural landscapes within the Urov-region of the biosphere.

How to cite: Uliana, G., Tatyana, K., and Vadim, E.: Ca and Sr in the technozem of various ore deposits of Eastern Transbaikalia, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2348, https://doi.org/10.5194/egusphere-egu22-2348, 2022.

EGU22-2506 | Presentations | SSS7.2

Database for geochemical assessment of the urban environments: a spatially oriented approach 

Olga Chernitsova, Natalia Kosheleva, Olga Popovicheva, Dmitry Vlasov, and Oxana Erina

Environmental geochemical studies of urban territories involve heterogeneous information that can be most effectively processed within a unified database (DB). Since a significant portion of the accumulated data is georeferenced, geographic information technologies should be used at all stages of the researches. The purpose of this work is to consider the structure of the DB for information support of ecological and geochemical studies of different urban environments in Moscow within the framework of the Russian Science Foundation project No. 19-77-30004 "Integrated technology for environmental assessment of Moscow megacity based on chemical analysis of microparticle composition in the "atmosphere - snow - road dust - soil - surface water" system (Megacity)".

The project aims to develop technologies for the chemical analysis of the urban environments impacted by the pollutants coming from vehicles, industry, and construction sites, as well as the assessment of the environmental state of the megacity. Various components of the environment are analyzed at several spatial scales: for the entire Moscow city, for administrative districts, for drainage basins of two urban rivers (Moskva and its tributary Setun). The composition of pollutant emissions is characterized using monitoring aerosol data at the Meteorological Observatory of Lomonosov Moscow State University. Microparticles PM10 and PM2.5 are analyzed for the content of elemental carbon, ionic and organic compounds, as well as potentially toxic elements, under different meteorological conditions and seasonal variations. The fallout of aerosols during winter is determined by the chemical analysis of dissolved and solid fractions of snow samples and its comparison with a natural background. Water migration of pollutants is assessed by analyzing river flows (water and suspended/bottom sediments) at reference stations in the Moskva River basin. The ecological state of road dust and soils that accumulate pollutants is estimated in geochemical surveying. Finally, source apportionment is quantified using statistical methods of multivariate analysis.

The development of a DB with the integrated geographic information system (GIS) allows systematizing the spatial and non-spatial information accumulated in field works, chemical and analytical studies, and organizing effective data storage and processing along with providing geoinformation support for DB users. We created four DB subsystems designed for: (1) processing georeferenced data (GIS); (2) working with time series; (3) handling regulatory and reference information; (4) assessing pollution and environmental hazard with computational models. For Moscow megacity, GIS brings together two large blocks of information: spatial layers stored within the geodatabase and spreadsheets with the results of field studies and chemical analyses. The main functions of the GIS are geoprocessing, execution of non-spatial and spatial queries, data analysis (including exploratory spatial data analysis and modeling), visualization of the results.

The report will present subsystems of the DB and the interrelationships between them. The use of the database in practice will be considered on the example of assessing the pollution of road dust with benzo(a)pyrene, accounting for anthropogenic and natural factors.

How to cite: Chernitsova, O., Kosheleva, N., Popovicheva, O., Vlasov, D., and Erina, O.: Database for geochemical assessment of the urban environments: a spatially oriented approach, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2506, https://doi.org/10.5194/egusphere-egu22-2506, 2022.

EGU22-2770 | Presentations | SSS7.2

Insights into biochar and metals tolerant bacteria in alleviating ZnO nanoparticles toxicity in plant 

Tatiana Bauer, Vishnu D. Rajput, Tatiana Minkina, Chernikova Natalya, Vladimir Beschetnikov, Aleksei Fedorenko, Svetlana Sushkova, and Saglara Mandzhieva

The application of nanoparticles (NPs) is increasing drastically, especially in crop production. The repeated inputs of metal-based NPs in agri-field could increase their concentration in soil, and cause a threat to sustainable crop production. Thus, the present study was designed to determine the role of spore-forming metal tolerant bacteria (MTB) and biochar (B) to alleviate the toxic effects of high dose of ZnO NPs (2000 mg kg-1) on plants (Hordeum sativum L.) spiked to the soil. For detailed evaluation, the five treatments were used such as 1) clean soil, 2) soil+NPs, 3) soil+NPs+MTB, 4) soil+NPs+B and 5) soil+NPs+B+MTB in plastic vessels in triplicate. The addition of MTB and B showed a promising impact on H. sativum growth in combination and individual inputs. The application of MTB to the contaminated soil reduced the mobility of Zn by 7%, mainly due to exchangeable compounds, and B reduced mobility up to 33%, because of a decrease in equally exchangeable, complex, and specifically sorbed forms. The combined introduction of MTB and B reduced most effectively the actual and potential content of Zn compounds in soil. The content of Zn in H. sativum tissues was increased drastically, especially in ZnO NPs contaminated soil. MTB and B in the contaminated soil reduced Zn accumulation in H. sativum roots by 20% and 63%, and in the aboveground tissues by 11% and 68%, respectively, compared to ZnO NPs polluted soil without amendments. The combined application of MTB and B showed the greatest decrease in Zn accumulation in H. sativum tissues. The root length and H. sativum height was decreased by 52% and 40% in contaminated soil. However, the addition of B, both separately and in combination with MTB reduced root length by 48% and 85%, and plant height by 53% and 40%, respectively, compared to polluted control. The anatomical results also showed an improvement in cellular- sub-cellular organelles, especially in chloroplast by B and in combination with MTB. The results indicate that metal-tolerant bacteria and biochar could be an effective soil amendment to decrease metal toxicity enhance crop growth, and improve soil health.

The research was financially supported by the Russian Foundation for Basic Research, project no. 19-34-60041.

How to cite: Bauer, T., Rajput, V. D., Minkina, T., Natalya, C., Beschetnikov, V., Fedorenko, A., Sushkova, S., and Mandzhieva, S.: Insights into biochar and metals tolerant bacteria in alleviating ZnO nanoparticles toxicity in plant, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2770, https://doi.org/10.5194/egusphere-egu22-2770, 2022.

The purpose of this study is to describe the Tl distribution and accumulation rates in Czech peat soils with contrasting anthropogenic loads. Nine peat cores were sampled in the mountain areas of the Czech Republic (6 cores in the northern part affected by emissions from coal-burning power plants and 3 in the pristine southern part). In addition, 3 cores were collected close to the Pb mining and smelting area of Pribram. Cores were 210-Pb dated and trace metals/metalloids were measured in the digests by ICP-MS. Maximum Tl concentrations in peat were significantly higher in the polluted northern areas (1.16 mg/kg) and close to the Pb smelter (0.83 mg/kg) than in the pristine area (0.45 mg/kg). Thallium distribution well correlated with other metals (Pb, Hg) and metalloids (As, Sb). Thallium enrichment factors (EFs) calculated against Sc reached the maximum value of 17 indicating significant input of anthropogenic Tl. Thallium accumulation rates in peat varied between 20 and 50 µg/m2/y until 1930s, followed by a significant increase related to industrial activities in the northern part of the Czech Republic (up to 290 µg/m2/y in 1980s). In contrast, maximum Tl accumulation rate at the pristine site was 88 µg/m2/y. Data from the vicinity of Pb mines/smelter indicated higher accumulation rates even in the second half of the 19th century (between 50 and 200 µg/m2/y) followed by a significant decrease in late 1970s as a result of more efficient flue gas cleaning technology installed in the smelter during this period. 

How to cite: Mihaljevic, M., Ettler, V., and Vanek, A.: Is thallium in peat a good indicator of anthropogenic contamination?  Examples from Czech sites with contrasting pollution histories., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4373, https://doi.org/10.5194/egusphere-egu22-4373, 2022.

EGU22-4773 | Presentations | SSS7.2

Trace elements accumulation in cryoconites and periglacial soils of the Central Caucasus 

Rustam Tembotov, Ivan Kushnov, Evgeny Abakumov, and Sebastian Zubrzycki

The problem of retreating glaciers is pronounced in almost all high-altitude and high-latitude landscapes. Black carbon is considered as one of the most important pollutants that contributes to global climate change and the melting of glaciers, especially in polar and mountainous regions due to formation of cryoconite. It is a supraglacial sediment which represents a mixture of black carbon, mineral particles and organic matter. Cryoconites are considered as accumulators of various pollutants such as polycyclic aromatic hydrocarbons, trace elements and radionuclides, which can be transported by aeolian and water flows to the downstream ecosystems and affect the safety of the region both directly and indirectly, through the cultivation of crops and grazing. Moreover, cryoconites considerably reduce the albedo of the glacier and take part in formation of primary soils after its retreat which is especially important in the context of global climate change.

The main purpose of this research is to study the pollution of cryoconites, other sediments and soils by trace elements at the Central Caucasus mountainous region, Russia. Cryoconite, moraines and mudflows were sampled from the biggest valley glacier at the Caucasus mountains, Bezengi Glacier; cryoconite derived soils were collected from the Khulamo-Bezengi Gorge. Chernozems and fresh mudflow samples were collected at Baksan Gorge. Trace elements content was determined by flame and electrothermal atomic absorption spectrometric method according to the standard ISO 11047-1998 at Atomic absorption spectrophotometer. We determined concentrations of Cu, Pb, Zn, Ni, Cd due to the facts that they are the most toxic for human health as well as they are mostly accumulated in a black carbon.

High concentrations of Zn (70.9 mg/kg) and Pb (30.0 mg/kg) in cryoconites have been determined on the Bezengi Glacier, which may be due to both local human activities and allochthonous pollution associated with the arrival of contaminated air masses from other regions. The content of Cu (max. 17.4 mg*kg), Ni (max. 19.0 mg*kg) and Cd (max. 0.052 mg*kg) was relatively low. However, concentrations of Zn (max. 89.2 mg*kg) and Cd (max. 0.313 mg*kg) in cryoconite derived soils were higher than in cryoconite which indicates high input of polluted material from the glacier into downstream ecosystems. The highest level of pollution with some trace elements has been determined in fresh mudflow: Cu = 40.7 mg*kg, Zn = 89.3 mg*kg, Ni = 42.0 mg*kg which also indicates that sediments act as a source of pollutants for mountain ecosystems. Pollution of Chernozems with trace elements was higher than in moraine sediments, however, it was lower than in cryoconites which shows possible impact of these sediments on pollution status of soils in mountainous region.

This work was supported by Russian Foundation for Basic Research, project No 19-05-50107 “The role of microparticles of organic carbon in degradation of ice cover of polar regions of the Earth”.

How to cite: Tembotov, R., Kushnov, I., Abakumov, E., and Zubrzycki, S.: Trace elements accumulation in cryoconites and periglacial soils of the Central Caucasus, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4773, https://doi.org/10.5194/egusphere-egu22-4773, 2022.

EGU22-5308 | Presentations | SSS7.2

Activity concentration of radionuclides of natural and anthropogenic-transformed soils in Rostov region 

Denis Kozyrev, Sergey Gorbov, Elena Buraeva, and Nadezhda Salnik

Topsoil is a filter that can absorb all wastes of production and anthropogenic activities. During the last 35 years, following several large industrial disasters and artificial radionuclides entering ecosystems, the ways of their migration and impact on living and biosphere systems are attracting close attention. As a result, the determination of both artificial and natural radionuclides in the soil seems relevant and is part of the radiation monitoring of the soil cover in Russia and the world. The purpose of the work was to carry out ecological monitoring of park-recreational, residential areas, as well as specially protected natural areas of the South of European Russia.

 

The maximum average value of activity for the artificial radionuclide 137Cs was revealed in the soils of specially protected natural territories, there is a maximum variation of values. Significant variation of the obtained activity results relates to large sampling and wide geography of studied objects and proximity to the place of the Chernobyl accident (April 26, 1986). Specific activity of natural radionuclides is at the level of average values typical for the Rostov region, which are confirmed by the previously conducted data. The specific activity in recreational areas and specially protected natural territories is approximately at the same level and has a similar distribution pattern. The arithmetic average of specific activity of the studied radionuclides for the inhabited zones is:137Cs - 13,5 ± 1,3 Bq/kg, 226Ra - 19,0 ± 1,1 Bq/kg, 232Th - 20,6 ± 0,8 Bq/kg, 334 ± 13,3 Bq/kg - 40K; for recreational:15,8 ± 0,9  Bq/kg - 137Cs, 226Ra – 24,0 ± 0,4 Bq/kg, 232Th – 31,5 ± 0,4 Bq/kg, 436 ± 6 Bq/kg - 40K and for specially protected natural areas: 25,6 ± 3,6 Bq/kg - 137Cs, 226Ra – 23,8 ± 0,7 Bq/kg, 232Th – 26,4 ± 0,8 Bq/kg, 365,8 ± 13,1 Bq/kg - 40K.

This study  was performed with financially supported by the Ministry of Science and Higher Education of the Russian Federation within the framework of the state task in the field of scientific activity (no. 0852-2020-0029)

How to cite: Kozyrev, D., Gorbov, S., Buraeva, E., and Salnik, N.: Activity concentration of radionuclides of natural and anthropogenic-transformed soils in Rostov region, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5308, https://doi.org/10.5194/egusphere-egu22-5308, 2022.

EGU22-5779 | Presentations | SSS7.2

Effect of benzo(a)pyrene on the morphometric characteristics of tomato plants (Solanum Lycopersicum) under the conditions of a model experiment 

Andrey Barbashev, Tamara Dudnikova, Tatiana Minkina, Svetlana Sushkova, Gulnora Bakoeva, Elena Tikhonenko, Natalya Chernikova, Md Mahfuzur Rahman, and Hazrat Amin

Polycyclic aromatic hydrocarbons (PAHs) are organic compounds of the benzene series, which differ in the number of benzene rings. Due to their carcinogenic and mutagenic properties, they have been included in the list of priority pollutants by the US Environmental Protection Agency and the European Community. Among all PAHs, there is a mutagen and a carcinogen of the 1st hazard class - benzo (a) pyrene (BaP), which is most often used as a marker of environmental pollution with PAHs. Up to 95% of the emitted pollutants are accumulated by the soil in various chemical forms. Since plants are inextricably linked with the soil, it becomes necessary to study the behaviour of PAHs in the formed plant-soil system. The aim of the study was to evaluate the effect of BaP on the morphometric characteristics of tomato plants under the conditions of a model experiment.

The studies were carried out under the conditions of a vegetation experiment. The soil was sifted through a sieve with a diameter of 1 mm and placed in 2 kg pots in 4 L pots. A BaP solution in acetonitrile was added to the soil surface based on the creation of a pollutant concentration in the soil of 400 and 1200 ng / g, which corresponds to 20 and 60 MPC of BaP. The original uncontaminated soil was used as a control. The soil was sown with tomato plants (Solánum lycopérsicum) of the early maturing variety White filling 241. The experiment was repeated three times. We analyzed such morphometric parameters as root length and stem height, as well as dry biomass of plants.

The root length and stem height in the control sample is set at 32 and 63 cm, respectively. In the samples contaminated with 20 MPC BaP, these indicators were lower, so the root length was 19 cm, and the stem height was 40 cm. In the samples with the introduction of 60 MPC BaP, the root length decreased to 14 cm and the stem height - to 27 cm.

In the control sample, the dry biomass of the roots was 10.3 g and the vegetative part was 80.2 g. When 20 MPC BaP was applied, these parameters decreased to 6.8 g of roots and 67 g of the vegetative part. In the samples with the introduction of 60 MPC BaP, the biomass of the roots was 3.1 g and the biomass of the vegetative part was 44 g, which is lower than the control values.

Thus, a decrease in the length of roots and the height of plant stems, as well as a decrease in their biomass relative to the control values, was established, which indicates that tomato plants are quite susceptible to soil pollution with BaP.

The research was financially supported by the Ministry of Science and Higher Education of the Russian Federation project on the development of the Young Scientist Laboratory (no. LabNOTs-21-01AB).

How to cite: Barbashev, A., Dudnikova, T., Minkina, T., Sushkova, S., Bakoeva, G., Tikhonenko, E., Chernikova, N., Rahman, M. M., and Amin, H.: Effect of benzo(a)pyrene on the morphometric characteristics of tomato plants (Solanum Lycopersicum) under the conditions of a model experiment, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5779, https://doi.org/10.5194/egusphere-egu22-5779, 2022.

EGU22-8325 | Presentations | SSS7.2

Comparison of the Spatial Distribution of Thyroid Cancer Morbidity and Geochemical Factors in Areas of the Bryansk Region (Russia) 

Vladimir Baranchukov, Elena Korobova, Sergey Romanov, and Irina Kurnosova

Bryansk region is only Russian, where total radionuclide contamination exceeding 1480 kBq/m2 was detected after the Chernobyl accident. At the same time, a definite increase in the incidence of thyroid cancer (ICD-10 code C73) was recorded in this area. From 1990 to 2020, thyroid cancer morbidity in the region increased up to 18.7 cases per 100 000 population compared to the mean value of this parameter for Russia is 6.2 (Kaprin et al., 2020) and 6.0 global (Deng et al., 2020).

To study the geochemical factors responsible for the distribution of thyroid gland diseases, we applied some specialized geographic information system methods. Our approach is based on the idea of a two-layers spatial structure of the modern noosphere (Korobova, 2017). According to the developed approach, the natural geochemical background presented by the soil cover structure is overlain by technogenic contamination fields. In this case, we hypothesize that revealing the causes of the diseases is possible by evaluating the correlation between the two structures: the geochemical and the diseases'.

To analyze the spatial distribution of morbidity, we used the method of kernel density (Silverman, 1986) and the analysis of the obtained maps of thyroid cancer allowed us to identify five territories (with an area of 100-200 km2) characterized by high morbidity (18.0-55.7 cases) and four territories with low morbidity (2.7-10.6 cases). Spatial evaluation of the difference between the original experimental data on iodine content in soils, drinking water, and 137Cs deposition in settlements located in areas with high and low thyroid mobidity was performed to estimate natural and anthropogenic geochemical factors contributing to the spread of thyroid diseases. Non-parametric Mann-Whitney U test showed significantly higher iodine content in centralized water supply (Z=1.46, p=0.06), pasture soils (Z=2.10, p=0.03), local milk (Z=1.71, p=0.08), and lower 137Cs deposition, which is used to the restoration of 131I contamination of the territory (Z=-4.43, p<0.001) in areas with low thyroid morbidity). In our opinion, this witnesses a definite contribution of geochemical factors (iodine deficiency and radioiodine contamination) to the specific spatial distribution of thyroid gland diseases.

The study was partly funded by RFBR (project #20-55-00012) and BRFBR (project #X20P-386).

References:

Kaprin, A., Starinsky, V., Prteova, G. (Eds.) (2021). Malignant neoplasms in Russia in 2020 (morbidity and mortality). National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, Moscow (in Russian)

Deng, Y. et al. (2020). Global Burden of Thyroid Cancer From 1990 to 2017. JAMA Network Open, 3(6), e208759. https://doi.org/10.1001/jamanetworkopen.2020.8759

Korobova, E.M. (2017). Principles of spatial organization and evolution of the biosphere and the noosphere. Geochem. Int. 55, 1205–1282 (2017) doi:10.1134/S001670291713002X

Silverman, B.W. (1986). Density estimation for statistics and data analysis: Monographs on statistics and applied probability. London; New York: Chapman and Hall

How to cite: Baranchukov, V., Korobova, E., Romanov, S., and Kurnosova, I.: Comparison of the Spatial Distribution of Thyroid Cancer Morbidity and Geochemical Factors in Areas of the Bryansk Region (Russia), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8325, https://doi.org/10.5194/egusphere-egu22-8325, 2022.

EGU22-8951 | Presentations | SSS7.2

Preliminary risk assessment of metal contamination of urban soils in Taganrog, Russia 

Elizaveta Konstantinova, Anatoliy Barakhov, Natal’ya Chernikova, Tamara Dudnikova, Andrey Barbashev, and Iliya Lobzenko

Long-term anthropogenic impact as a result of urbanization leads to environmental pollution by potentially toxic elements (PTEs). Soil metal contamination poses significant risks for the conjugated landscape components and for the public health. Taganrog is the second largest city in the Rostov Oblast with a population of 248,600 people, with a developed metallurgy and mechanical engineering. The aim of the study is to evaluate possible ecological and human health risks related to PTEs in urban topsoils of Taganrog.

Topsoil samples (0–20 cm deep) were collected in summer 2021. The total concentrations of Cr, Mn, Ni, Cu, Zn, Cd, and Pb were determined by X-ray fluorescence analysis using a Spectroscan MAX-GV spectrometer (Spectron, Russia). Individual environmental risks were assessed using the potential ecological risk factors (Er and MEr), integral risks were identified using the potential ecological risk indices (RI and MRI). Human health risk assessment was based on the US EPA model (1989). The noncarcinogenic risk, expressed as a hazard quotient (HQ), was evaluated by comparing the average daily dose of pollutant with a reference dose. To assess the cumulative noncarcinogenic risk, a total hazard index (HI) was used. The carcinogenic risk (CR) was calculated as lifetime average daily dose of a pollutant multiplied by the corresponding carcinogen slope factor. The total carcinogenic risk (TCR) of exposure to elements along all routes of intake was calculated as sum of CR.

The individual ecological risks of all elements were low (Er and MEr <40), with the exception of Cd. The environmental risk due to Cd pollution, assessed by Er, was moderate (55.8–70.1) in 27.3% of the samples and considerable (89.4–106.6) in 18.2% of the samples. In 36.4% of the samples was moderate Cd risk (MEr 41.6–71.1). According to RI, moderate risk was detected only in 9.1% of samples; the rest of the samples are characterized by a low risk. Values of RI ranged from 20.6 to 197.1 with a mean of 84.0. The integral environmental risk, assessed by MRI, was low in all studied samples and ranged from 13.7 to 131.4.

Noncarcinogenic risks were more likely caused by intake of As and Pb (HQ>1). For both children and adults, the risk associated with the oral intake of pollutants was the greatest. The HI values for children varied from 0.9 to 5.6, on average 2.3, for adults - from 0.1 to 0.7, on average 0.3. Most of the territory was characterized by a medium non-carcinogenic risk for children (90.9% of samples) and a low risk for adults (100%). Significant CR (>1 × 10−6) was associated with long-term exposure to As and Pb. The TCR values under the combined effect of PTEs ranged from 2.1 × 10-5 to 1.5 × 10-4, on average 5.5 × 10-5. In general, the level of carcinogenic risk in the city was assessed as moderate in 81.8% of samples and as unacceptable in 18.2% of samples.

This work was funded by the Council for Grants of the President of the Russian Federation, grant no. MK-4654.2022.1.5.

How to cite: Konstantinova, E., Barakhov, A., Chernikova, N., Dudnikova, T., Barbashev, A., and Lobzenko, I.: Preliminary risk assessment of metal contamination of urban soils in Taganrog, Russia, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8951, https://doi.org/10.5194/egusphere-egu22-8951, 2022.

EGU22-9123 | Presentations | SSS7.2

Global pollutant concentrations in coal mine soils: Discussing an approach to the meta-study 

Jaume Bech, Alexey Alekseenko, Maria Machevariani, and Daniel Karthe

The extraction of solid fossil fuels results in the accumulation of overburden and host rocks stored on the Earth's surface. Coal mining sites are among the most disturbed and polluted areas. Soils are affected by these transformations in multiple ways, including structural changes, the loss or suppression of vegetation cover, and the migration and accumulation of chemical elements in soils and water. To assess the global concentrations of chemical elements in the coal mine soils, we discussed and developed a meta-study on pollutants in Technosols and altered natural soils. For this, we collected data from papers published in peer-reviewed journals between 2000 and 2022, covering 25 major coal-producing countries of Eurasia, Africa, Australia, and the Americas. To understand better the patterns of soil pollution driven by coal extraction itself, we gathered the concentrations measured in soils, spoils, and dumps near open-cut and underground coal mines. For the same reason, the data on pollutants in remediated or reclaimed soils, as well as in soils near coal power plants (or other pollution sources) were excluded. Likewise, we did not consider other abiotic (e.g., coal ash, mine water) or biotic media (e.g., grasses, trees, and plants in general)  even though they are undoubtedly interlinked. Moreover, the data on soil pollution are far more abundant and thus statistically significant.

The typical set of keywords used for searching in databases included “coal mine”, “soil/dumps”, “pollution/contamination”, and “elements/metals”. Obviously, other terms like “colliery”, or “wasterock”, or “geochemical transformation” were applied too but gave fewer search results. To harmonize measurement units, we recalculated all data to mg/kg or ppm. When necessary, concentrations were recalculated from oxides into elemental forms. To confirm the representativeness of the figures, we checked the number of specimens analyzed in each research. The total number of samples used in the meta-study was over 7,000. For the standard statistical processing, the mean concentrations were collected alongside the minimum and maximum contents, and standard deviation values; when not provided in a paper, they were calculated from the raw data. After that, we obtained the average contents of chemical elements that characterize each coalfield separately.

The preliminary results reveal that priority pollutants are inherited from the world averages for trace element contents in coals rather than the natural background. In other words, concentrations of priority pollutants are predominantly determined by coal extraction and the release of related pollutants. The research outcomes indicate that the oxidation-reduction and alkaline-acid milieu, water and temperature regimes, sorption capacity, and other landscape-geochemical conditions are being ambiguously transformed in new ecosystems and can be derived from both natural conditions and the man-inflicted damage. The geochemical cycles in biocenoses are altered and the tasks for their restoration may vary significantly. The established global concentrations of chemical elements in coal mine soils can be used for comparative assessments and the management of legacy contamination and soil/landscape rehabilitation in post-mining regions. However, remediation efforts will also need to consider site-specific geological, hydrological, and climatic characteristics as well as socio-economic conditions and other regional development objectives.

How to cite: Bech, J., Alekseenko, A., Machevariani, M., and Karthe, D.: Global pollutant concentrations in coal mine soils: Discussing an approach to the meta-study, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9123, https://doi.org/10.5194/egusphere-egu22-9123, 2022.

EGU22-9248 | Presentations | SSS7.2 | Highlight

Ecological risks of PTEs pollution in soils of the Lower Don floodplain and the Taganrog Bay coast 

Tatiana Minkina, Elizaveta Konstantinova, Nevidomskaya Dina, Tatiana Bauer, Saglara Mandzhieva, Vishnu Rajput, Irina Deryabkina, Vladimir Beschetnikov, Iliya Lobzenko, Svetlana Sushkova, and Muhammad Tukur Bayero

The Lower Don basin and the adjacent coastal zone of the Azov Sea are considered one of the most economically developed and anthropogenically transformed regions within Southern Russia. This territory is characterized by a high degree of urbanization, intensive agriculture, and diverse transport infrastructure facilities. Long-term anthropogenic activities have resulted in a strong transformation of the natural environment of the Lower Don floodplain, the Don Delta and Taganrog Bay coast. One of the main consequences of human activities is related to the degradation of vegetation and soil cover of subaquatic landscapes caused by pollution of potentially toxic elements (PTEs). The main aim of this study was to assess potential environmental risks of Cr, Mn, Ni, Cu, Zn, As, Cd, and Pb in soils of the Lower Don floodplain and the Taganrog Bay coast.

The floodplain and coastal landscapes of the study area are dominated by Eutric and Calcaric Gleyic Fluvisols, Gleyic Fluvisols (Humic), Gleyic Phaeozems and Haplic Chernozems which are background soils of the region are less common. Soil samples were collected in summer 2020 from the surface soil horizon (0–20 cm deep). The total concentrations of Cr, Mn, Ni, Cu, Zn, Cd, and Pb were determined in air-dried powder samples by X-ray fluorescence analysis using a Spectroscan MAX-GV spectrometer (Spectron, Russia). Environmental risks were assessed using potential ecological risk factor (Er) and the potential ecological risk index (RI) based on the single pollution index (PI) and modified potential ecological risk factor (MEr) and the modified potential ecological risk index (MRI) based on the Müller geoaccumulation index (Igeo).

The obtained results showed that Er and MEr indicated a low ecological risk for most of the PTEs studied, with the exception of Cd, which was found to be moderate in 8% and 3.5% of the samples, respectively. The highest values of both Er and MEr for Cd were detected in the soils of the Don Delta. Integral ecological risk assessed using RI and MRI, based on the sum of all Er and MEr, respectively, was low in all samples studied. Values of RI ranged from 10.52 to 86.87 with a mean of 32.2. Similar results were observed for MRI, which ranged from 7.01 to 57.91 with a mean of 21.46. The highest values of both RI and MRI were observed in soils of the Don Delta in the vicinity of urbanized territories, which indicates an additional supply of PTEs due to more significant anthropogenic pressure. Thus, according to the results of the study, the risk of a potential negative impact of soil pollution on adjacent components of the landscapes of the Lower Don and Taganrog Bay does not cause serious concerns. Apparently, a relatively favourable land-use regime with a predominance of agriculture has developed in the region.

This work was funded by the Russian Science Foundation, grant no. 20-14-00317.

How to cite: Minkina, T., Konstantinova, E., Dina, N., Bauer, T., Mandzhieva, S., Rajput, V., Deryabkina, I., Beschetnikov, V., Lobzenko, I., Sushkova, S., and Tukur Bayero, M.: Ecological risks of PTEs pollution in soils of the Lower Don floodplain and the Taganrog Bay coast, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9248, https://doi.org/10.5194/egusphere-egu22-9248, 2022.

The geochemical features of stable strontium distribution in groundwater of the Upper Devonian hydrogeological complex within the southwestern flank of the Moscow artesian basin used for centralized drinking water supply in the northeastern part of the Bryansk region were considered in order to detail the potential influence of additional geochemical factors on the manifestation of endemic decease caused by natural iodine deficiency.

Strontium concentration in water samples varied from 0.21 to 28.8 mg/l (median (Me) = 1.03 mg/l, n=34). The analysis of strontium distribution with considering the genetic features of water-bearing rocks showed no significant differences in the content of this element in the waters of depositions of the Frasnian (Me=0.86 mg/l, n=25) and Famennian stages (Me=1.09 mg/l, n=9) (p<0.01). The main sources of strontium in investigated groundwater are strontium-containing minerals (celestine) or strontium impurities in limestones of varying degrees of gypsification associated with the Upper Devonian carbonate rocks (Sr correlation with SO4: r<0.05=0.78). The maximum levels of strontium, which significantly exceed the Russian hygienic standard for drinking waters (7 mg/l), were detect in groundwater of Famennian sediments of the Rognedinsky district of the Bryansk region (>20 mg/l). Given the lack of significant correlation between strontium content and water salinity, which is usually observed for strontium-enriched artesian waters of regional hydrogeochemical provinces (Kraynov et al., 2012) it can be explained by the existence of natural local strontium anomaly in this area (Сa/Sr <7).

Membrane filtration of water samples allowed suggesting that strontium migrate in fresh and low-salinity waters mainly within dissolved fraction of groundwater (divalent cation and complexes with sulfate, chloride and hydrocarbonate) with sizes not exceeding 0.45 µm.

The presence of a local anomaly of strontium-containing waters within the Moscow artesian basin, which impair the quality of drinking water in this area, can be a factor of potential risk to the health of the local population living under conditions of iodine deficiency.

 

The reported study was funded by the Vernadsky Institute federal budget (research task #0137-2019-0006). The Field work was partly funded by RFBR and BRFBR project #20-55-00012 and BRFBR project # Х20Р-386.

How to cite: Kolmykova, L. and Korobova, E.: Concentrations and migration forms of strontium in groundwater used for drinking within the Moscow artesian basin (Russia, Bryansk region), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9523, https://doi.org/10.5194/egusphere-egu22-9523, 2022.

EGU22-10028 | Presentations | SSS7.2

A study of iodine concentration in soils and drinking waters of the Mountainous Crimea 

Victor Berezkin, Victor Glebov, Elena Kayukova, and Elena Korobova

Iodine deficiency is the most common cause of endemic goiter and other diseases, largely due to the geographical features of the regions. Iodine deficiency diseases can occur not only in inland regions and high-altitude areas, but also in those regions where iodine is poorly involved in the food chains of the local population. Thus, for some territories, an important factor of iodine deficiency may be the diversity of rocks and the difference in soils and aquifers caused by them.

The purpose of the article is to identify the contrast in the concentration of iodine content in the soil cover and natural drinking waters in the Mountainous Crimea, on different rocks. Soil and water samples collected in several regions of the Mountainous Crimea, mostly in Bakhchisarai, were examined.

Samples of natural drinking water (n=34) were taken in three districts of the Mountainous Crimea (Bakhchisarai, Alushta and Simferopol) from various sources (rivers, wells, ponds, aqueduct) in 2017. Soil samples (n=23) were taken in the Bodrak River valley (Bakhchisarai district) from the upper horizons (sampling depth up to 20 cm) in 2019. Iodine was determined by kinetic thiocyanate-nitrite method in the laboratory of the Institute of Geochemistry of the Russian Academy of Sciences.

The iodine content in the surveyed drinking water sources corresponds to the existing standards (2-10 μg/l), however, for some sources, extremely low values of iodine content are observed (both for wells 0.89 μg/l and for private pumps and aqueduct 1.11 μg/L), which can be determined primarily by the composition of the water-bearing rocks. The highest median values are marked for springs (Me=5.34 μg/L; n=8) and rivers (Me=6.77 μg/L; n=8), the lowest for aqueduct (Me=1.74 μg/L; n=7). The high variability of iodine in the soils of the automorphic landscapes of the Crimean Mountains was established from 0.43 mg/kg (mountain cambisols) to 15.4 mg/kg (regosols), depending on the humus content and the pH. The highest median values are marked for regosols (Me=5.6 mg/kg; n=13) and cambisols (Me=1.7 mg/kg; n=6), the lowest for fluvisols (Me=1.1 mg/kg; n=4).

The dependence of the iodine content in the upper horizons of different types of soils, primarily on the content of humus and soil pH-water, has been established. It has been confirmed that the content of iodine in natural waters is primarily determined by the difference in aquifers. The study was carried out without financial support, with the partial support of the Laboratory of Biogeochemistry of the Russian Academy of Sciences, which provided equipment for measuring iodine.

How to cite: Berezkin, V., Glebov, V., Kayukova, E., and Korobova, E.: A study of iodine concentration in soils and drinking waters of the Mountainous Crimea, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10028, https://doi.org/10.5194/egusphere-egu22-10028, 2022.

EGU22-10054 | Presentations | SSS7.2

Analysis and comparison of the composition, functional groups, sorption characteristics and surface structure of biochar affected by biomass feedstock 

Ilia Lobzenko, Tatiana Bauer, Marina Burachevskaya, Tatiana Minkina, Alexey Fedorenko, Mahmoud Mazarji, Svetlana Sushkova, Saglara Mandzhieva, Vishnu Rajput, Inna Zamulina, Alexey Scherbakov, and Viktoria Severina

Biochar is the perfect solution to reduce the adverse effects of climate change by adopting viable solutions inspired by nature. Since biochar can be made from a variety of different sources, the paper aims to compare the properties of biochar made from different sources, including wood, sunflower, and rice husk. The results obtained from the elemental analysis showed that there are no exceeding the maximum permissible concentrations of trace elements in any of the samples. Moreover, it was found silicon oxide is presented in rice husk. IR spectroscopy of wood biochar and sunflower husk biochar showed the presence of hydroxyl functional groups and aliphatic C-H groups of cellulose, as well as phenolic functional groups and esters. In addition, the total surface area of the wood biochar and rice husk biochar is found to be highest and lowest, respectively. It was found that the total volume of pores in the following descending order rice husk>wood>sunflower. The SEM and 3D confocal microscopy results indicate that wood biochar contains the surface with the most upside-down as compared to other samples. The XRD demonstrated that wood and sunflower husk biochar samples take crystallinity from cellulose compared to rice husk biochar. TGA results manifested that the wood biochar is more stable, and the new step as the decomposition of lignin part results by increasing the temperature up to 500 °C. The addition of all the biochars to the soil (Сalcaric Fluvic Arenosols) increases the sorption capacity of the soil under mono- and polyelement contamination by copper, zinc, and lead.

This study was supported by RFBR project no. 19-05-50097, Grant of the President of Russian Federation project no. МК-6137.2021.1.5 and by the Strategic Academic Leadership Program of the Southern Federal University ("Priority 2030").

How to cite: Lobzenko, I., Bauer, T., Burachevskaya, M., Minkina, T., Fedorenko, A., Mazarji, M., Sushkova, S., Mandzhieva, S., Rajput, V., Zamulina, I., Scherbakov, A., and Severina, V.: Analysis and comparison of the composition, functional groups, sorption characteristics and surface structure of biochar affected by biomass feedstock, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10054, https://doi.org/10.5194/egusphere-egu22-10054, 2022.

EGU22-10118 | Presentations | SSS7.2 | Highlight

Spatial analysis of cancer distribution in Gomel and Mogilev oblasts of Belarus as a preliminary stage for revealing the provoking local factors 

Sergey Romanov, Aleksander Chervan, and Elena Korobova

A series of maps using different GIS spatial analysis techniques were constructed to perform spatial analysis of the distribution of oncological diseases in Belorussia. Mapping was based on the data of the national cancer register, which contains considerable information of all cancer cases of different localization and allows separation of different sex and age groups of the population. Preliminary data verification showed a high variation of cancer cases in different areas. The second step of the research confirmed the high spatial heterogeneity of medical data when the maps characterizing different variation levels of cancer cases were made using a specialized GIS. After that, the regional zoning was carried out for the Gomel and Mogilev regions most subjected to the Chernobyl radionuclides fallout in Belarus and the areas with a significant difference in the level of general and localized cancer rates were separated. The general picture showed that the actual risk level of the oncological diseases (including those of different localization) spatially varies by four times or even more. Such a significant change in the frequency of occurrence of cancer cases of mans and women within limited areas univocally showed on the local factors that can provoke such an increase in morbidity. Considerable radioactive contamination after the Chernobyl accident within this area obvious could be such a factor. However, the obtained maps showed a high level of differentiation before the Chernobyl catastrophe and no definite correlation with radionuclide fallout maps. In any case, in our opinion, the revealed zones of enhanced cancer morbidity and those where the morbidity appeared to be minimal should become the objects of priority study. Those which represent the highest density of cancer cases need priority examination and prevention.

The study was partly funded by RFBR and BRFBR project #20-55-00012 and BRFBR project # Х20Р-386. 

How to cite: Romanov, S., Chervan, A., and Korobova, E.: Spatial analysis of cancer distribution in Gomel and Mogilev oblasts of Belarus as a preliminary stage for revealing the provoking local factors, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10118, https://doi.org/10.5194/egusphere-egu22-10118, 2022.

EGU22-10220 | Presentations | SSS7.2 | Highlight

An approach for evaluating the level of plastic residues in agricultural soils 

Manuel Hernandez, Rosa Peñalver, Natalia Arroyo-Manzanares, Natalia Campillo, Ignacio López-García, and Pilar Viñas

There is a continuous increase of the use of plastic materials globally, which makes difficult to manage their waste, constituting an important source of pollution for the different environmental areas. Specifically, the long-term quality and productivity of agricultural soils is affected by the contamination of these plastic residues, being these pollutants mainly present as microplastics coming from the degradation of the larger initial plastic contaminants. In addition, plastics contain different additives to improve their properties which are normally toxic organic compounds which may have a negative impact to the agricultural environment.

The purpose of this research is to develop and validate an analytical method based in a solid-liquid extraction stage followed by gas chromatography coupled to mass spectrometry (GC-MC) to determine volatile organic compounds related to plastics (monomers, additives, and degradation products) in soil samples of agricultural areas. For this purpose, a number of samples were collected in a wide zone located in the Rambla del Beal (Cartagena, Spain).

The optimized method has allowed the quantification of 14 volatile compounds, such as styrene, phthalates or bisphenol A that may be released from plastic residues, because they are monomeric species or additives. Other species associated to the degradation (environmental conditions over time) of the plastic residues such as 2,4-diterbutylphenol have been also found in the samples.

In addition, a non-targeted approach has been developed for the identification of other pollutants present in the soil samples without the use of standards. This goal was achieved by the use of the mass spectrometer detector working in the full scan mode and the application of MS database libraries (NIST and Wiley).

This analytical methodology represents a basis for a reliable evaluation of the presence of plastic pollutants in soils through the determination of their additives, monomers and degradation compounds.

 

The authors are grateful to the Spanish MICINN (Project PGC2018-098363-B-100) for financial support

How to cite: Hernandez, M., Peñalver, R., Arroyo-Manzanares, N., Campillo, N., López-García, I., and Viñas, P.: An approach for evaluating the level of plastic residues in agricultural soils, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10220, https://doi.org/10.5194/egusphere-egu22-10220, 2022.

EGU22-10446 | Presentations | SSS7.2 | Highlight

Arsenic dynamics in soils placed near old mining sites in SE Spain 

Carmen Pérez-Sirvent, Maria Jose Martínez Sánchez, Salvadora Martínez López, Lucia Belén Martínez Martínez, Carmen Hernández Pérez, Carmen Gomez Martinez, Manuel Hernández-Córdoba, and Jaume Bech

Arsenic is a Potentially Toxic Element (PTE), which is present in the soils/sediments of abandoned mining areas, such as the Sierra Minera de Cartagena La-Unión and the mining site of Mazarron (SE Spain) and its areas of influence. In order to assess the risk to human health and the ecosystem, it is necessary to know the nature of the materials that contain this PTE, their alterability and their speciation.

On the one hand, there is a geogenic relationship between this element and materials rich in phyllosilicates and Fe minerals. These minerals can constitute primary mineralisation such as sulphide veins (pyrite, arsenopyrite, etc.) or secondary mineralisation such as haematite, goethite, siderite, jarosite, etc., and can even be found as a mineral phase forming various arsenates. Another very important aspect is the climatology of the area, which coincides with a semi-arid Mediterranean climate with infrequent but very heavy rainfall.

The As concentration range in the studied areas is very wide (5000 -70 mg.Kg-1), with an average value of 150 mg.Kg-1, being As (V) the predominant species. Only soils located in wetland areas with permanent waterlogging can show significant concentrations of As(III). 

The As content in surface waters, such as runoff water, is low, only reaching significant values (>2 mg.L-1) when these waters are acid mine drainage and have pH values <2, coinciding in these cases with the presence of reduced As forms.

Particulate As is associated both with Fe oxides and hydroxides, through surface adsorption processes on Fe(OH)3 particles, and with carbonates, through precipitation reactions as calcium arsenate. These reactions are evident in some places such as wadis that transport particulate and dissolved materials from areas affected by mining, and mainly take place both in the riverbed and in flooding areas when rainfall events occur.

For an appropriate understanding of the main processes involved, a detailed scheme is given. It should be noted that the dynamics of this PTE is of a particular interest in the zones studied due to the proximity of urban sites.

 

How to cite: Pérez-Sirvent, C., Martínez Sánchez, M. J., Martínez López, S., Martínez Martínez, L. B., Hernández Pérez, C., Gomez Martinez, C., Hernández-Córdoba, M., and Bech, J.: Arsenic dynamics in soils placed near old mining sites in SE Spain, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10446, https://doi.org/10.5194/egusphere-egu22-10446, 2022.

EGU22-11146 | Presentations | SSS7.2

Cytotoxic and genotoxic effects of macro- and nano-form of heavy metals in Pisum sativum L. grown in soil 

Natalia Chernikova, Arpna Kumari, Vasiliy Chokheli, Vishnu Rajput, Saglara Mandzhieva, Viktoria Shuvaeva, Viktoria Tsitsuashvili, Anatoly Barakhov, Dina Nevidomskaya, Michael Kirichkov, and Alena Timoshenko

Improper dumps are one of the most common indicators of accumulated harm and are a source of a wide range of pollutants entering the environment. The waste of packaging materials, household chemicals, agrochemicals, used industrial catalysts, ash from thermal waste disposal, and other contaminants have been identified as sources of their introduction into soils from dumps. The accelerated applications of nano-forms of metals are one of the emerging concerns. Like other contaminants, the soil is the main sink for nanoparticles (NPs). Undoubtedly, in the last decade, metal NPs have been recognized for their numerous roles in research and development but due to their increasing amount in the environment, these emerging issues cannot be ignored. Therefore, with this background, the current work was proposed, in which, Pisum sativum L. was exposed to nano-disperse (30-50 nm) and macro-disperse (3-5 μm) forms of metal oxide viz., Cu, Zn, Cr, Mn, Cd, Ti, Ni, and Pb at the doses of 3, 30, and 90 background contamination (in mg/kg). After 3-4 days of exposure, the emerged roots were harvested, cleaned with distilled water, and fixed in Clark’s fluid (aceto-alcohol) for further analyses. For microscopic observations, slides were prepared using the squash technique. In this work, the mitotic index and frequency of chromosomal aberrations were recorded to depict the extent of cytotoxic and genotoxic effects, respectively. The experimental outcomes revealed that the maximal genotoxicity was found in all soil samples at the level of 90 background contamination, regardless of the macro- or nano-state of the metals. Besides, the commonly observed chromosomal aberrations were bridges and fragments. Also, cell ruptures at the metaphase stage, forming a metaphase plate was found but rarely. Thus, the current observation depicted the cytotoxicity and genotoxicity of different nano- and macro-disperse forms of metals, however further studies are needed to explore the responsible mechanisms for these toxicological vulnerabilities.  

This study was supported by Russian Science Foundation project no. 21-77-20089.

How to cite: Chernikova, N., Kumari, A., Chokheli, V., Rajput, V., Mandzhieva, S., Shuvaeva, V., Tsitsuashvili, V., Barakhov, A., Nevidomskaya, D., Kirichkov, M., and Timoshenko, A.: Cytotoxic and genotoxic effects of macro- and nano-form of heavy metals in Pisum sativum L. grown in soil, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11146, https://doi.org/10.5194/egusphere-egu22-11146, 2022.

EGU22-12209 | Presentations | SSS7.2

Geochemical transformations in liquid and solid phases of forest-steppe soils in the affected area of Moscow brown coal basin (Russia) 

Alexander Kostin, Pavel Krechetov, Olga Chernitsova, and Elena Terskaya

Long-term coal mining (more than 50 years) in the Moscow basin has a complex negative effect on soils. Because of underground mining at coal fields spoil heaps with a high content of iron sulfides, aluminosilicates and organic carbon of coal origin were formed. Oxidation of sulfides and acid hydrolysis of aluminosilicates in waste dumps results in the producing of toxic sulfuric acid, Al and Fe sulfates (Nordstrom and Alpers 1999). Acid mine drainage (AMD) entering from eroded spoil heaps, leads to physico-chemical and morphological changes in soil characteristics. On foreslopes around spoil heaps technogenically transformed soils are common. Our study aimed at evaluation of post-mining geochemical evolution of chemical composition and properties of solid and liquid soil phases.

We examined two key sites within abandoned coal mine fields in the central part of the Moscow basin. Predominant natural soils are Greyic Phaeozems and Haplic Chernozems (WRB 2014) (Grey forest and Leached Chernozems in Russian classification).

Soil samples and displaced soil solutions (by ethanol) were analysed for acid-base properties, content and composition of readily soluble salts, content of Fe2+ and Fe3+, H+ and Al3+, composition of exchangeable cations, heavy metals (HM) and organic carbon) by standard methods. The composition of clay minerals in soils were determined by X-ray diffractometry. The saturation degree of soil solutions by gypsum, iron and aluminum hydroxides was estimated.

Properties of technogenic soils differ significantly from natural soils. We observed the transformation of the composition of soil solutions. Key geochemical processes at mine sites in contaminated soils were: (1) acidification and Fe-Al-SO4 salinization of entire soil profile along with the increment in H+ and Al3+ ions content; (2) cation exchange, leading to displacement of Cа2+ and Mg2+ ions by Al3+, H+ and, probably, by Fe2+ and Fe3+ in soil cation-exchange complex (CEC); (3) alteration of radial differentiation of organic carbon and carbonates in soils; (4) clay mineral transformations.

Topsoil features a high content of technogenic organic carbon (reaches 12%) due to the inflow of coal material particles from the dump. Ca2+ and Mg2+ ions predominate (for 70 to 90%) in CEC of natural soils. Exchangeable Al3+ accounts for more than 75% of the acidity formation in transformed soils. The share of exchangeable Ca2+ and Mg2+ in CEC of contaminated soils depletes on 22-38%.

Extracted soil solutions from polluted soils are heavily oversaturated by Al hydroxides. Even though the activity of Ca2+ and SO42- ions in some samples reaches the gypsum saturation level, gypsum neoformations are not distinguished morphologically.

The content of Co, Сu, Ni and Zn in displaced solutions of transformed soils in tens or even hundreds times exceeds the background values. The clay minerals of natural soils are represented by kaolinite, illite, vermiculite and mixed-layer minerals. The sharp increase in smectite fraction (up to 75-80%) and slightly in chlorite fraction was revealed in transformed soils.

Post-technogenic soils have no analogues in natural forest-steppe landscapes of the Russian Plain.

 

How to cite: Kostin, A., Krechetov, P., Chernitsova, O., and Terskaya, E.: Geochemical transformations in liquid and solid phases of forest-steppe soils in the affected area of Moscow brown coal basin (Russia), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12209, https://doi.org/10.5194/egusphere-egu22-12209, 2022.

EGU22-13164 | Presentations | SSS7.2 | Highlight

Potentially Toxic Metals and high resolution monitoring at regional and local scale of Persistent Organic Pollutants in the soil, air, and bulk deposition of the Campania Region, southern Italy: Sources and environmental processes 

Benedetto De Vivo, Annamaria Lima, Domenico Cicchella, Chengkai Qu, Dave Hope, Pellegrino Cerino, Mauro Esposito, Antonio Pizzolante, Stefano Albanese, and Elena Korobova

Campania Region, Southern Italy, in the last 10 years was facing potential environmental issues which needed to be addressed, with the proper scientific approach, to alleviate pressure from public opinion, based more on emotions than on scientific data. Such pressure indicated an increase of oncological incidence, not supported by scientific data on the presence of anomalous pollutants in different natural media (soil, water, air, agricultural products). To face environmental/health alarm, the Campania Regional Government in 2015 funded a large, multidisciplinary, environmental project known as Campania Trasparente, to Istituto Zooprofilattico del Mezzogiorno (IZSM), to get a deeper and scientific knowledge of the Campania territory carrying out geochemical investigations, to: 1) characterize the geochemical composition of agricultural soil, air and groundwater at regional and local scale; 2) define the level of bio-availability of the toxic elements; 3) try to demonstrate a direct relationship between the presence of contaminants in the environmental matrices, in agricultural products and finally in the human matrices (hair, urine, blood). Within this project we got data on the presence of the potentially toxic metals (PTMs) and hazardous persistent organic pollutants (POPs: OCPs, PCBs, PAHs, PAEs, PBDEs) in different media of the entire Region. The new large dataset complemented our research and monitoring activities, which before 2015, were focused mostly on PTMs in soils, both at regional and local scale. In Campania Trasparente project, samples (9,000) of top and bottom soils, air and bulk deposition (150 passive air samplers, over 7 seasons), waters (1,200), vegetation (2,500) and biological (4,200) media, were collected to characterize the status of PTMs and POPs. The results obtained showed that: a) most of these elements and compounds, in higher concentrations, occur predominantly in critical areas of Napoli Urban and Metropolitan Area (NMA) and in the Sarno river basin; b) the infamous area, in the Caserta and Napoli provincial territory, known as Terra dei Fuochi (Land of Fires), is only marginally interested by anomalous occurrence of PTMs and POPs in some spot areas, not justifying the emotional alarms calling for an increase of oncological cases due to diffuse illegal practice of wastes disposal in the area; c) the agricultural crops of the Terra dei Fuochi are not affected by anomalous PTM. Specifically, the ecological risk conditions for PAHs and some OCPs (Endosulfan) occur, mostly in NMA; PCBs are sourced mostly in urban areas, being dissipated in rural areas, whereas PAEs and PBDEs occur, in general, in concentrations similar to those in other Italian regions, with some higher hot spot values in NMA and south of Salerno town. The interactional complexity between metropolitan and the surrounding rural areas is also confirmed, as it is the role that urban areas play in the migration and transformation process of POPs. High urban-rural gradients for atmospheric PAHs, PCBs and OCPs are observed mostly in the NMA and the urban areas, identified as the main emission source of POPs.  Only OCPs, originating from the nearby agricultural areas, experienced long-term soil re-emission, continuously influencing conterminous urban environment via atmospheric transport processes.

How to cite: De Vivo, B., Lima, A., Cicchella, D., Qu, C., Hope, D., Cerino, P., Esposito, M., Pizzolante, A., Albanese, S., and Korobova, E.: Potentially Toxic Metals and high resolution monitoring at regional and local scale of Persistent Organic Pollutants in the soil, air, and bulk deposition of the Campania Region, southern Italy: Sources and environmental processes, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13164, https://doi.org/10.5194/egusphere-egu22-13164, 2022.

Anaerobic digestion technique and production of bioenergy from biogas is an important contribution to achieving the targets of climate protection. Concomitantly, the use of digestates as secondary raw material for the production of fertilizers and the extraction of economic valuable elements are increasingly considered. The latter requires profound knowledge on the element concentrations in digestates and how changes in process parameters affect their enrichment. In this study a lab scale continuous anaerobic digestion with different organic loading rates (ORL) were performed to explore effects of loading rate on biogas production and concentration of heavy metals (Zn, Cr, Ni) and valuable elements (Ge, REEs) in digestate. The pH was 6.8–7.2 throughout the whole process. In a 30 liter reactor with working volume of 25 liter grass (Phalaris arundinaceae) and manure (20/80, 30/70, 40/60, 50/50, 60/40 ) were added as a substrate at different OLR (1, 2, 2.5, 3, 3.5, 4 kg VS m-3 d-1). The digestate of each organic loading rate was analyzed by ICP-MS. Increasing the OLR significantly increased gas production by 64%, 12%, 8%, 16% and 20%, respectively. While biogas production increased, concentration of heavy metals (Zn, Cr, Ni) and valuable elements (Ge, REEs) decreased at each level of OLR increase except between OLR 2 and OLR 3.  The increased biogas production was most likely caused by higher amounts of readily degradable organics in the fermenter, while decreasing concentrations of elements in digestates result from a dilution of initially high element concentrations in the manure with low concentrated grass biomass. In fact, we could say that the concentrations of elements in manure were by far higher compared to the grass. However, there was OLR 3 where higher inputs of biomass did not negatively affect element concentrations in digestate. Surprisingly at this OLR highest relative increase in gas production was observed. This suggests that at this loading rate enrichment of elements through losses of carbon and dilution with increasing contents of low concentrated biomass was balanced. We could demonstrate that OLR fundamentally impacts gas production and mineral element concentrations in digestate. The effects depend initially on element concentrations in biomass and gas production which potentially offers novel perspectives for optimization of biogas process towards a phytomining of valuable elements and use of digestates as secondary raw materials.

How to cite: Zaffar, N., Ferchau, E., Heilmeier, H., and Wiche, O.: Effect of organic loading rate on biogas production and concentration of heavy metals and valuable elements in continuous anaerobic co-digestion of manure and reed canary grass, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-404, https://doi.org/10.5194/egusphere-egu22-404, 2022.

EGU22-2074 | Presentations | SSS7.3

Field Studies on Effects of Bioaugmentation on Phytoextraction of Germanium, Rare Earth Elements and Potentially Toxic Elements 

Precious Uchenna Okoroafor, God'sfavour Ikwuka, Nazia Zaffar, Melvice Ngalle Epede, and Oliver Wiche

Soil inoculation with plant growth promoting rhizobacteria (PGPR) promises benefits for agriculture as well as phytoremediation and phytomining of potentially toxic elements (PTEs) and critical raw materials (CRMs) in soil. Thus, we investigated on a field scale the effects of soil inoculation on biomass production as well as on phytoextraction of germanium (Ge), sum total of rare earth elements (REET), copper (Cu), lead (Pb), zinc (Zn), cadmium (Cd), cobalt (Co), nickel (Ni), Iron (Fe), calcium (Ca) and phosphorus (P). Zea mays (ZM) and Helianthus annuus (HA) were used as test plants and the commercially available PGPR RhizoVital®42 containing Bacillus amyloliquefaciens FZB42 as source of inoculum. Post-harvest, biomass/m2, shoot element content/m2, root concentration and water-soluble soil element fraction of root soils were compared for plants grown on inoculated versus uninoculated reference soil. Results indicated increase of 24 % and 26 % for ZM and HA grown on inoculated soils respectively, albeit insignificant at p ≤ 0.05. Inoculation with PGPR enhanced the ZM shoot content of P, K, Co, Cd and Ge by percentages between 20 and 80 % (significant only for Ge) and decreased shoot content of Pb, REET and Cu by 35 %, 28 % and 59 % respectively. For HA grown on inoculated soil, shoot content of Ca, Ni, Cu, Zn, Ge, REET and Pb increased by over 28 % with negligible decrease observed for Cd. Water soluble element concentrations revealed increased concentrations of more than 15 % for K, Fe, Zn, Cd, Pb, Ge and REET in inoculated post-harvest root soils of ZM with negligible changes of less than ≤ 5% observed for P, Ca, Co, Ni and Cu. For HA , increase of ≥ 28 % for water soluble element concentrations occurred only for P and Ca, with concentrations of Ni, Cu, Zn, Cd, Pb and REET decreasing by percentages between 11 and 41 %. Also, increased root concentrations of ≥ 22 % for ZM growing on inoculated soils occurred only for P, Ca, Cu and Cd while decreased concentration of ≥ 12 % occurred only for Fe, Co, Ni, Pb and REET. Summarily, results suggest that bioaugmentation with commercially available PGPR RhizoVital®42, containing Bacillus amyloliquefaciens FZB42 has the potential to enhance biomass production as well as enhance or inhibit phytoextraction of some elements. Also, effects of PGPR on phytomining and phytoremediation is plant specific for some elements, depending mostly on plant physiological  characteristics.

How to cite: Okoroafor, P. U., Ikwuka, G., Zaffar, N., Ngalle Epede, M., and Wiche, O.: Field Studies on Effects of Bioaugmentation on Phytoextraction of Germanium, Rare Earth Elements and Potentially Toxic Elements, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2074, https://doi.org/10.5194/egusphere-egu22-2074, 2022.

Affordable environmentally friendly solutions are essential for the remediation of waste sites globally. 
Phytoremediation is an increasingly popular environmentally friendly method to help remediate waste 
sites and offset costs of waste site remediation. A greenhouse experiment was set up using to determine 
uptake of metallic zinc (Zn) and copper (Cu) solution by known hyperaccumulator Brassica juncea. With
treatments (T)1- 4, having final added soil concentrations of 100, 200, 310, and 330 mg kg -1 elemental Zn 
and Cu respectively. At 8 weeks, samples were harvested, weighed, and measured for atomic emission 
spectrometry (Agilent Technologies 4210 MP-AES). Phytotoxicity was determined based on visual 
observation, biomass, and chlorophyll measurements. The results showed no significant difference 
between the root mass of control, T1, and T2, whereafter T3 and T4 showed a 52.6%, and 73.7
decrease in mean root mass. There was no observable significant difference in leaf or stem mass among 
control, T1-T3, though the mean average of leaf mass decreased across all treatments. T4 showed 
significant difference in average leaf mass from control with a 46.1% decrease in average mass. At the 
highest concentration levels, T4 showed a 62.3% decrease in stem mass when compared to the control. 
AES measurements revealed pools of Zn and Cu in root, leaf, and stem material. The highest 
concentrations of Zn and Cu were to be found in the stem material, with highest observed 
concentrations (T4) being 11,700 mg kg-1 of Zn and 3,116 mg kg-1 of Cu. AES measured leaf material also 
showed large pools of both Zn and Cu with highest observed values (T4) being 5,813 mg kg-1
for Zn and 2,901 mg kg-1 for Cu. It can be determined from this experiment that B. juncea shows the ability to grow 
in heightened levels of Zn and Cu, as well as associate excess free Zn and Cu ions into plant tissues. 

How to cite: Grimm, M.: Feasibility of Brassica juncea as a Hyperaccumulator in Phytomining of Cu and Zn, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2542, https://doi.org/10.5194/egusphere-egu22-2542, 2022.

EGU22-2593 | Presentations | SSS7.3

Influencing factors on the adsorption-desorption processes of Pharmaceutically Active Compounds (PhACs) in various agricultural soils 

Lili Szabó, Anna Vancsik, László Bauer, Gergely Jakab, Attila Kondor, Tibor Filep, and Zoltán Szalai

The fate of Pharmaceutically Active Compounds (PhACs) in the environment may depend on a number of interrelated processes. Their environmental risk is mainly influenced by their adsorption and desorption processes in the soil. The present work aimed to study the adsorption and desorption of PhACs (17α-ethinyl estradiol (EE2), carbamazepine (CBZ), diclofenac sodium (DFC)) on various agricultural soils formed under different redox conditions: an Arenosol with fully aerobic conditions and a Histic Gleysol sample with suboxic and anoxic conditions. The objectives of the study were to investigate how the soil properties modify the sorption processes of the PhACs. Adsorption isotherms were applied to estimate the model parameters using Langmuir, Freundlich and Dubinin-Radushkevich model in a batch technique experiment. The different composition of the soil samples significantly affected the amount of adsorbed PhACs (CBZ, DFC, EE2). Top soil samples with a high organic matter content adsorbed higher amounts of PhACs, while the amount of adsorbed PhACs decreased gradually with depth. In desorption experiments, the amount of PhACs released also varied with depth. In contrast, the rate of desorption was lowest at the topsoil samples and increased with depth. In samples where the deeper levels were characterised by higher clay mineral content (e.g. the C-level of the Histic Gleysol), significantly less PhACs could be desorbed. The physico-chemical properties of the soil showed that the amount of the desorbed PhACs mainly influenced by the specific surface area and clay content of the soil. This study could be useful for understanding of the movement of PhACs in soils formed under different conditions. This study was funded by the Hungarian National Research, Development and Innovation Fund (2020-1.1.2-PIACI-KFI-2021-00309).

How to cite: Szabó, L., Vancsik, A., Bauer, L., Jakab, G., Kondor, A., Filep, T., and Szalai, Z.: Influencing factors on the adsorption-desorption processes of Pharmaceutically Active Compounds (PhACs) in various agricultural soils, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2593, https://doi.org/10.5194/egusphere-egu22-2593, 2022.

EGU22-2989 | Presentations | SSS7.3

Insights into using HAIR2014 tool for estimating soil pesticide risks in Irish grasslands for selected herbicide active substances 

Alina Premrov, Matthew Saunders, Dara Stanley, Blanaid White, James C. Carolan, James Quirke, Mike Broderick, Kenneth Conroy, Jesko Zimmermann, and Jane Stout

In this study we used the HAIR (HArmonized environmental Indicators for pesticide Risk) modelling tool [1],[2] for estimating the risks of pesticide use in Irish grassland soils, as part of the PROTECTS research project [3]. This project aims to provide baseline information in an Irish context to build towards mitigating the effects of pesticide use on terrestrial ecosystem services, focusing on pollinators and soils. Our study focused on estimating the potential terrestrial risks posed by pesticides on soils in the form of earthworm terrestrial risk-indicators (ETRe) using the HAIR2014 [2] for selected herbicide active substances (ASs). The work involved a refinement of the HAIR2014 tool for Irish conditions, as explained in Premrov et. al (2021) [4]. In brief, this included upgrading the spatial (GEO) database, climate data inputs and ‘crop-regions’ for Ireland [4]. An Irish grassland land-use (LU) map was derived from PERSAM data/maps [5] and the remaining inputs (i.e. soil inputs) were obtained from the HAIR2014 default databases [2] (assigned to the new grid [4]). The pesticide application/usage inputs were derived from published national surveys on plant-protection product (PPP) usage for Ireland [6]. Recent advancements include work on building a compound-database for HAIR2014 for the selected ASs of interest (e.g. glyphosate, MCPA, MCPP, 2,4-D, 2,4-DB, etc. ). This requires information for a number of physico-chemical and other parameters for these ASs, which are sourced from EU regulatory and evaluation data and EFSA publications, in addition to other relevant sources. We will present the generated HAIR2014 simulation outputs in the form of ETRe risk indicator maps for selected herbicide ASs for Irish grasslands.  The aim of this work is to generate pesticide risk indicator output maps for soils in Irish grasslands that will inform an area-based risk assessment, as well as assist the development of recommendations for potential future national soil-monitoring and sampling needs.

 

Acknowledgements

Thanks go to Irish Department of Agriculture, Food and the Marine (DAFM) for funding the PROTECTS project.

 

Literature

[1] HAIR2014, (last assessed 2022). HArmonized environmental Indicators for pesticide Risk. URLs: https://www.pesticidemodels.eu/; https://www.pesticidemodels.eu/hair/hair2014.

[2] Kruijne, R., et al.  (2011). HAIR2014 Software Manual (2014);  Hair 2010 Documentation Alterra Wageningen UR.

[3] PROTECTS project, (2018). Protecting terrestrial ecosystems through sustainable pesticide use URL: https://protects.ucd.ie.

[4] Premrov, A., Saunders, M., Zimmermann, J., Stout, J., (2021). Insights into preliminary procedures for estimation of soil pesticide risks in Irish grasslands using HAIR2014 tool, IGRM2021, Limerick, Ireland. URL: https://www.mic.ul.ie/sites/default/files/uploads/624/Premrov%20IGRM%20poster.pdf.

[5] EFSA, (2015). Data PERSAM tool. URL:  https://esdac jrc ec europa eu/content/european food safety authority efsa data persam software tool (and there cited data sources)

[6] DAFM, (last assessed 2022) Pesticide Statistics Pesticide Usage Surveys. URL: https://www pcs agriculture gov ie/sud/pesticidestatistics/

How to cite: Premrov, A., Saunders, M., Stanley, D., White, B., Carolan, J. C., Quirke, J., Broderick, M., Conroy, K., Zimmermann, J., and Stout, J.: Insights into using HAIR2014 tool for estimating soil pesticide risks in Irish grasslands for selected herbicide active substances, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2989, https://doi.org/10.5194/egusphere-egu22-2989, 2022.

EGU22-3674 | Presentations | SSS7.3

Rare earth elements as potential tracers of carboxylate-based plant nutrition strategies 

Oliver Wiche, Olivier Pourret, and Hans Lambers

Phosphorus (P) and iron (Fe) are limiting nutrients in many (agro-)ecosystems. Due to P-sorption under most soil conditions, the current P-fertilization practices are inefficient, since large quantities of the P fertilizer applied remain in the soil as a residual part. Therefore, the development of sustainable agricultural practices urgently needs to improve nutrient-acquisition efficiencies of crop species through rhizosphere engineering and breeding of low-input strains. The availability of nutrients in the rhizosphere, especially that of P, is dependent on the activity of roots and associated microbes, particularly their ability to acidify the surrounding soil and release chelating compounds such as carboxylates. Therefore, there is a growing interest among plant ecologists, breeders and agronomists in “easily-measurable” tools to trace belowground functional traits in nutrient acquisition under soil conditions. Here, we explore the idea to use rare earth elements (REEs) in plant material to evaluate the nutrient-acquisition strategy, particularly under nutrient limitation. The rationale behind this hypothesis is that i) REEs are present in almost all soils at quantities similar to some plant nutrients such as Cu and Zn, ii) REEs interact with nutrient-bearing soil phases (phosphates, Fe-oxyhydroxides), iii) root exudates released under P/Fe deficiency strongly mobilize REEs in soil, and iv) the uptake of mobilized REEs in plants depends on their chemical form, which is a function of rhizosphere chemistry.  Preliminary results from greenhouse and large-scale field experiments indicate that P-inefficient species show different REE-concentrations in their leaves than P-efficient species, and that the pattern of REEs is related to the composition of root exudates. In ongoing experiments, this hypothesis will be rigorously tested by coupling a field sampling campaign of plant material from species with contrasting nutrient-acquisition strategies along soils with changing nutrient availability (Western Australian chronosequences) as well as controlled greenhouse experiments for mechanistic elucidation of processes involved.

How to cite: Wiche, O., Pourret, O., and Lambers, H.: Rare earth elements as potential tracers of carboxylate-based plant nutrition strategies, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3674, https://doi.org/10.5194/egusphere-egu22-3674, 2022.

Soils in vineyards face various agronomic problems, such as low organic carbon content, fertility loss, and soil erosion. In particular, the intensive use of fertilizers and copper-based fungicides has resulted in the enrichment of potentially toxic elements (PTEs) in vineyard soils. These PTEs are recovered in different geochemical fractions, significantly affecting their behavior and toxicity in the soil environment. Therefore, in the present study, the geochemical distribution of Zn, Pb, Co, Ni, Cr, and Cu in the topsoil of two sloping vineyards in Tokaj-Hegyalj (NE Hungary) was investigated using the BCR sequential chemical extraction method. A risk assessment code (RAC) was also used to explore the environmental risk related to the labile fraction of the PTEs.

The two sites display contrasted soils: a slightly acidic soil derived from a magmatic rock (rhyolite) in a more than 100-year-old conventional vineyard near Tállya and a moderately alkaline soil developed on loess in a 28-year-old organic vineyard near Tokaj. Our results indicate that the target PTEs are considered immobile due to their high contents recovered in the residual fraction in both vineyards. However, Co, Cu, and Pb show the highest affinity for the reducible fraction (bound to iron and manganese oxyhydroxides). Therefore, those elements are more labile and can easily be released into the soil solution upon changes in the redox potential. Indeed, reducing conditions lead to the decomposition of the oxides or hydroxides. Conversely, the oxidizable PTE fractions are below 10%, indicating their weak binding to soil organic compounds. The soil pH, CaCO3 content, and silt content play a significant role in the geochemical fractionation of PTEs in the soil. The calculated RAC based on the percentage of PTEs in the acid-soluble soil fraction reveals that Pb and Cr have a safe risk level (RAC less than 1%), while a low risk is indicated for Zn and Ni (RAC < 10%) in both vineyards. Medium (RAC < 30%) and low risk are associated with the acid-soluble Cu in Tállya and Tokaj, respectively. The increased environmental risk due to the continuous use of copper-based fungicides and the subsequent accumulation of Cu in vineyard soils should be monitored, especially in old vineyards.

How to cite: Thi Ha Pham, N., Babcsányi, I., and Farsang, A.: Sequential extraction based environmental risk assessment of potentially toxic elements in the topsoil of two sloping vineyards (Tokaj-Hegyalja, Hungary), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3829, https://doi.org/10.5194/egusphere-egu22-3829, 2022.

EGU22-3841 | Presentations | SSS7.3

The effects of pH on the adsorption and desorption mechanisms of Pharmaceutically Active Compounds (PhACs) in a tilled Arenosol 

László Bauer, Lili Szabó, Anna Vancsik, Attila Kondor, Gergely Jakab, and Zoltán Szalai

Wastewater treatment technologies worldwide use only marginally reduce the number of organic micropollutants (e.g. pharmaceuticals) in treated wastewater. Treated wastewater is used for irrigation in semi-arid and Mediterranean areas. Most of the treated wastewater is discharged into surface water bodies In European Countries. The use of these water bodies for irrigation results in the presence of PhACs into the agro-environment. The ever-changing environment in the soils influences the adsorption of these compounds. One of the ever-changing environmental factors is pH. The pH can highly fluctuate in the rhizosphere during the whole growing season. Consequently, the study of the effect of this environmental factor should also be considered when assessing the environmental risk of PhACs.

The main questions of our research were: (a) How do root acids affect adsorption-desorption interactions?; (b) Are there synergistic effects during competitive adsorption of 17α-ethinyl estradiol (EE2), carbamazepine (CBZ), and diclofenac sodium (DFC)?

Studied compounds were tested in both single-compound adsorption and competitive adsorption and batch experiments. The adsorbents were from a calcareous, humic sandy soil used to grow lucerne. The sorption experiments were carried out at three different depths of the soil profile, where at the ploughed layer (0-20 cm), soil pH was adjusted to model the effect of ambient acids on sorption processes. Competitive adsorption tests were performed at both the original and the modified pH values. Adsorption isotherms were applied to estimate the model parameters using Langmuir, Freundlich, and Dubinin-Radushkevich model. According to our results, the pH changes influenced the sorption processes, especially the desorption. The outcome of our study could be able to estimate the behaviour of PhACs at different soil horizons of sandy agricultural soil.

This study was funded by the Hungarian    National Research, Development, and Innovation Fund (2020-1.1.2-PIACI-KFI-2021-00309).

How to cite: Bauer, L., Szabó, L., Vancsik, A., Kondor, A., Jakab, G., and Szalai, Z.: The effects of pH on the adsorption and desorption mechanisms of Pharmaceutically Active Compounds (PhACs) in a tilled Arenosol, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3841, https://doi.org/10.5194/egusphere-egu22-3841, 2022.

EGU22-4489 | Presentations | SSS7.3 | Highlight

Slow-release fertilizers from liquid digestate: amount and speciation of the N leached in a laboratory column experiment 

Giacomo Ferretti, Giulio Galamini, Valeria Medoro, Barbara Faccini, and Massimo Coltorti

The inefficient management of fertilizers is dramatically impairing the soil, water, and atmosphere quality. Efficient alternative methodologies for granting adequate N availability to crops while reducing the nutrient losses in the environment are urgently needed. In this work, we present a column leaching experiment in which the amount and speciation of the N lost by different slow-release fertilizers were investigated, in comparison to traditional fertilizers (urea and liquid digestate). The slow-release alternatives are produced by recovering N from liquid digestate and represented by NH4-enriched zeolite-rich tuff and struvite. Four treatments were tested consisting in sandy soil fertilized with urea, liquid digestate, NH4-enriched zeolite tuff and struvite. N amount and speciation was accounted in eight flushing events over 38 days (Total Kjeldahl N, Organic-N, NH4+-N, NO3--N, NO2--N).

Results showed that urea and liquid digestate fertilized columns lost the majority of N within the first 2 flushing events as organic N and NH4+-N, respectively. On the contrary, struvite and NH4-enriched zeolite fertilized columns lost homogeneously fewer N and with a more balanced speciation over the entire experiment length. The mass balance outlined that, native soil N was mined in urea and liquid digestate treatments while in the soil fertilized with slow-release alternatives a fraction of N from the fertilizers was still present. These two slow-release alternatives thus representing a way to recycle N from liquid digestate and to use it more efficiently, minimizing N losses.

How to cite: Ferretti, G., Galamini, G., Medoro, V., Faccini, B., and Coltorti, M.: Slow-release fertilizers from liquid digestate: amount and speciation of the N leached in a laboratory column experiment, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4489, https://doi.org/10.5194/egusphere-egu22-4489, 2022.

EGU22-5812 | Presentations | SSS7.3

Silicon Extends Beneficial Effects Towards the Accumulation of Micronutrients and Rare Earth Elements 

Nthati Monei, Vera Benyr, Michael Hitch, Hermann Heilmeier, and Oliver Wiche

Background:  Silicon (Si) is one of the elements whose role in plant nutrition and development is not fully defined and has become of great interest as of recent. The presence of Si, is, however, known to extend several benefits to plants, which include increased biomass production and tolerance against both biotic and abiotic stressors, furthermore, it improves plant rigidity.Aim: This study represents a greenhouse experiment that was designed to explore the effects of Si accumulation and its relationship with the uptake of essential and nonessential elements while alleviating toxicity in plants with different nutrition strategies.Methods: Four plant species, Brassica napus (B. napus, a hyperaccumulator), Lupinus albus (L. albus, an excluder), Cucumis sativus, and Zea mays (C. sativus and Z. mays, both Si accumulators), were cultivated on a semi hydroponic substrate under greenhouse conditions. The plants were treated with a variation between a solution made of a trace element mix (Al, Cd, Mn and REE) without Si (further denoted TE-mix) and a similar mix with Si- fertilizer as silicic acid (further denoted Si+). The solution concentrations were varied between 10 and 100 µM, to investigate the effect of Si. After harvest, the concentration of Ca, Mn, Fe, P, Al, Cd and REE were determined using IC-PMS. Results: Treatment with 10 µM TE-mix and Si+ showed a decrease in biomass on the biomass of B. napus and L. albus. The effect of Si on the biomass of Si accumulators (C. sativus and Z. mays) decreased with the increasing concentration of the TE application. Treating the plants with Si+ at both low and high concentrations resulted in low Ca concentration in B. napus and C. sativus when compared to the concentrations from TE-mix treatment which are up to fivefold higher. The influence of Si+ on the concentration of Mn, and Fe increased (≥150 % and ≥10% respectively) with increased Si+ concentration. The results further indicated that treating the plants with Si+ increased the concentration of Al and Cd accumulated in B. napus, C. sativus and Z. mays. Higher concentrations of LREE were accumulated when compared to LREE in all species when treated either with TE-mix or Si+ (at both 10 and 100 µM). The highest REE concentration was accumulated in B. napus (21.4 µg /g LREE and 17.4 µg /g HREE) when the plants were treated with 100µM Si+. Conclusion: The results from this study provide further insight into the benefits of supplementing Si as fertilizer, toward plant development and nutrition. Even when utilized on plants with different nutrition strategies, Si may assist the plants in biomass production and to acquire nutrients such as Fe and Mn. Furthermore, the use of Si can assist plants in resisting high concentrations of toxic trace elements such as Al and Cd while also accumulating nonessential but valuable elements such as rare earth elements when implementing phytoremediation. 

How to cite: Monei, N., Benyr, V., Hitch, M., Heilmeier, H., and Wiche, O.: Silicon Extends Beneficial Effects Towards the Accumulation of Micronutrients and Rare Earth Elements, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5812, https://doi.org/10.5194/egusphere-egu22-5812, 2022.

EGU22-6427 | Presentations | SSS7.3

Remediation of pentachlorophenol contaminated forest soil by the combined action of biostimulation and bioaugmentation techniques 

Giuseppe Di Rauso Simeone, Rim Werheni Ammeri, Yassine Hidiri, Mohamed Salah Abassi, Ines Mehri, Sara Costa, Abdennaceur Hassen, and Maria Rao

Pentachlorophenol (PCP) is a recalcitrant compound that could persist in the environment causing serious pollution concerns. Bioremediation of PCP is demonstrating to achieve encouraging results compared to the common physical and chemical techniques.

The aim of this work was to assess different bioremediation processes as biostimulation and/or bioaugmentation approaches of artificially PCP (100 mg kg-1) contaminated forest soil (Sc). The biostimulation treatment provided phosphate and three different organic amendments, such as forest compost (FC), municipal solid waste compost (MC) or sewage sludge (SS). Two different microbial consortia B1 and B2 were used as bioaugmentation treatments. The combination of both biostimulation and bioaugmentation techniques was also assessed. Soil physical and chemical properties, PCP amount, soil microbial biomass carbon, soil respiration and some enzymatic activities at zero time (T0) and after 30 d incubation (T30) were evaluated.

No significant changes in terms of main chemical soil properties were observed, but an increment of organic carbon in all organic amendment-based treatments at T0 and T30 was observed. The PCP concentration at T0 was on average 82 mg kg-1 in all soil samples. After 30 days natural attenuation was responsible for the reduced PCP extractable in Sc (68.5 mg kg-1). The combined action of biostimulation and bioaugmentation led to a strong PCP reduction (71%) in Sc+B1+FC sample, whereas a depletion of only 52% and 41% occurred with the single application of FC or B1, respectively. The presence of PCP negatively affected soil microbial biomass carbon and the activity of dehydrogenase and fluorescein diacetate hydrolysis that recovered upon organic amendment also combined with microbial consortia B1 or B2. FC based biostimulation treatment also stimulated soil respiration. These results demonstrate that the simultaneous treatment of biostimulation and bioaugmentation showed a better performance in the PCP removal with more effectiveness than the single techniques.

How to cite: Di Rauso Simeone, G., Werheni Ammeri, R., Hidiri, Y., Salah Abassi, M., Mehri, I., Costa, S., Hassen, A., and Rao, M.: Remediation of pentachlorophenol contaminated forest soil by the combined action of biostimulation and bioaugmentation techniques, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6427, https://doi.org/10.5194/egusphere-egu22-6427, 2022.

EGU22-6637 | Presentations | SSS7.3

Uptake of micropollutants from treated wastewater, sewage sludge and composted sewage sludge by plants 

Radka Kodešová, Helena Švecová, Aleš Klement, Miroslav Fér, Antonín Nikodem, Martin Kočárek, Alica Chroňáková, and Roman Grabic

Various micropollutants (including pharmaceuticals, UV filters, cosmetics, cleansers, etc.), are increasingly being detected in the environment because of their partial or incomplete removal from wastewater in wastewater treatment plants (WWTPs). These compounds can be taken up by plants if treated wastewater is used for irrigation or if biosolids are used for soil amendment. Previous studies focused on this subject were usually performed under greenhouse conditions. Therefore, the aim of this study was to evaluate a behavior of studied compounds under natural climatic conditions. Experiment was carried out directly in the wastewater treatment plant, where nine raised beds were installed, which contained soils taken from topsoil of two soil types Arenosol (two beds) and Cambisol (seven beds). Either maize or a mixture of different vegetables (lettuce, carrot and onion) was grown in these beds. Of the seven beds with the Cambisol, one of the beds containing either maize or vegetables was irrigated with tap water and other pair of beds (maize or vegetables) was irrigated with treated wastewater (i.e., WWTP effluent). In another pair of beds (maize or vegetables), composted sludge from WWTP Three beds containing both types of biosolids were irrigated with tap water. Only vegetables were grown in the beds with the Arenosol, which were irrigated with either tap water or treated wastewater. Climatic data, irrigation doses, drainage water volumes, soil water contents and plant growth were monitored during the experiment. Selected compounds concentrations were measured in WWTP effluent, both biosolids, drainage water, soils, and plant tissues. Fifty five of 77 analyzed compounds were quantified in WWTP effluent. Main compounds were pharmaceuticals (e.g., telmisartan, gabapentin, diclofenac, carbamazepine, and its metabolites), UV filters (e.g., phenylbenzimidazole sulfonic acid) and compounds used in anticorrosive paints (e.g., 1H-benzotriazole). In the case of both biosolids, the dominant compounds were telmisartan, sertraline, trazodone, citalopram, diclofenac (i.e., pharmaceuticals) and 1H-benzotriazole. Uptake of different compounds by plants depended on a plant and properties of organic molecules, which affected their sorption in soils and mainly their ability to be taken up and translocated in plants. For instance, pharmaceuticals carbamazepine, gabapentin tramadol and venlafaxine were mainly found in lettuce leaves.

 

Acknowledgement: Study was supported by the Ministry of Agriculture of the Czech Republic, project "The fate of selected micropollutants, which occur in treated water and sludge from wastewater treatment plants, in soil" (No. QK21020080) and partly also by the European Structural and Investment Funds, projects NutRisk (No. CZ.02.1.01/0.0/0.0/16_019/0000845).  

How to cite: Kodešová, R., Švecová, H., Klement, A., Fér, M., Nikodem, A., Kočárek, M., Chroňáková, A., and Grabic, R.: Uptake of micropollutants from treated wastewater, sewage sludge and composted sewage sludge by plants, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6637, https://doi.org/10.5194/egusphere-egu22-6637, 2022.

Energy crop Miscanthus x giganteus (Mxg) is known for its ability to grow in contaminated soils and for its high biomass which can be transformed to various biobased products.

A two-year pot experiment (2019 – 2020) was set to determine impact of diesel pollution on Mxg growth and impact of Mxg on degradation of diesel pollution. Mxg was grown in pots with diesel-spiked soil with different concentrations (2 500 – 50 000 mg/kg dry soil). Four soil samplings (three in 2019 and one in 2020) were carried out. The soil parameters (available nutrients, humus, pH, TOC) and diesel concentration (C10 – C40 analysis) were monitored. At the end of each growing season the biomass parameters (height and number of stems) were measured.  After the second growing season rhizomes and roots weight was also determined. Plant fitness was quantified by measuring of leaf fluorescence. The changes of microbial communities were characterized by phospholipid fatty acids (PLFA) analysis, respiration and enzymatic activities.

Higher diesel concentration affected negatively the growth of Miscanthus x giganteus. Biodegradation of diesel followed the first-order kinetics. Achieved half-lives were significantly shorter in pots with developed planted (compared to unplanted control); at low and high diesel concentrations the differences was not significant. Microbial activity was mostly stimulated by diesel concentration, which indicates microbial biodegradation as the key process. The results implicate slight stimulation of biodegradation developed by Mxg.

How to cite: Burdová, H.: The impact of diesel pollution on Miscanthus x giganteus biomass- two-year pot experiment, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7083, https://doi.org/10.5194/egusphere-egu22-7083, 2022.

Sewage sludge and digestates from anaerobic fermentation are increasingly considered soil amendments and organic fertilizers to close agricultural element cycles. Beside plant nutrients, organic materials may contain potentially toxic trace elements. Their application cause soil pollution and enhance plant–soil transfer of undesired elements. The processes involved could be potentially deployed for phytoextraction applications. In this study, Alyssum murale, Fagopyrum esculentum, Lupinus albus and Carthamus tinctorius were cultivated on heavy metal polluted soil from the post-mining area of Freiberg Germany, treated with 10% (dw basis) sewage sludge or 1% digestate. Effects of soil amendments on the accumulation of P, Fe, Mn, Zn, Cu, Cd, As, Pb in different plant species evaluated by comparing shoot element concentrations (ICP-MS) of treated plants with reference plants cultivated on the soil. Both sewage sludge and digestate had high concentrations of nutrients, especially of phosphorus (22 g/kg P) in sewage sludge and (9.6 g/kg P) in digestate) which were magnitude higher than in the soil (30 mg/kg P). Compared to soil, sewage sludge contained lower concentrations of Mn, Cu, As, higher concentrations (factor of two) Zn and similar concentrations of Cd, Pb, Ni. Compared to  soil, the digestate was significantly enriched in Cu, Zn, Ni, Cd and depleted in As and Pb. Plants treated with digestate showed adverse effects on growth (C. tinctorius) and significantly reduced biomass. Plants treated with digestate were characterized by significantly higher concentrations of Mn, Fe, Zn, Cu (Alyssum murale) and higher concentrations of Mn, Fe (F. esculentum). In contrast, concentrations of Cd, Pb As remained unchanged. Due to detrimental effects on plant growth, the treatment of plants with digestate significantly reduced amount of elements accumulated, irrespective of plant species. In contrast, sewage sludge amended plants showed increased shoot yield (factor 2), and elevated concentrations of P, Mg and Zn.In   addition sewage sludge significantly increased concentrations of Zn, Cu, Ni, Cd, Co in A. murale und F. esculentum (by a factor of 20) and to a less extend in L. albus and C. tinctorius (Factor 2). Considering the higher shoot yield of sewage sludge amended plants, the increased concentrations enhanced phytoaccumulation of Cu, Zn, Ni, Cd and Co, which decreased in the order F. esculentum > C. tinctorius > A. murale > L. albus. Specifically, the accumulation of Zn in F. esculentum increased from 394 µg to 6658 µg and from 111 µg to 590 µg in C. tinctorius. Similarly, the accumulation of Cd increased from 8 µg to 98 µg in F. esculentum and from 0.26 µg to 31 µg in A. murale when sewage sludge was added. The calculated mass balance of elements  in pots and elements transferred into plant biomass revealed that plants accumulated 1% of total P present in the pots. Concomitantly, a single plant of F. esculentum accumulated 16% and 5% of plant-available Zn and Cd by soil sequential extraction analysis. Our findings indicate that high biomass metal-accumulators like F. esculentum could be used for industrial pretreatment of sewage sludge while retaining their high fertilization value.

How to cite: Zaffar, N., Shirmer, D., and Wiche, O.: Impact of sewage sludge and digestate soil amendment on the phytoaccumulation of potentially toxic elements in Alyssum murale, Fagopyrum esculentum, and Carthamus tinctorius, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8902, https://doi.org/10.5194/egusphere-egu22-8902, 2022.

EGU22-10375 | Presentations | SSS7.3

Role of silicon in polymerization process during lignin synthesis and cell wall properties 

Jelena Dragišić Maksimović, Daniela Djikanović, Aleksandar Kalauzi, Gordana Tanasijević, Vuk Maksimović, and Ksenija Radotić

Silicon (Si), as the second most abundant element in the Earth's crust beyond oxygen, represents an essential part of the mineral world. Si is a crystalline semi-metal or metalloid belonging to the same periodic group as carbon, but with chemical performances dissimilar from all of its group counterparts. Despite sharing the bonding versatility of carbon, with its four valence electrons, Si is a relatively inert element. Besides its abundance (27.6%), Si is not usually found in its pure state, but rather its dioxide and hydrates. Silica (SiO2) is the one stable oxide of silicon, and it is more energetically favorable for Si to create four single bonds with each oxygen rather than make two double bonds with each oxygen atom. This leads to a linking form of -Si-O-Si-O- networks called silicates. The core unit of silicates can bind together in a variety of ways, creating a wide array of minerals. As an inevitable soil constituent, Si is present at high concentrations in soil solutions ranging from 0.1-0.6 mM roughly two orders of magnitude higher than some macronutrients. Therefore, exposed to Si, plants developed mechanisms for its uptake, translocation, and deposition within the plant tissue. Mostly accumulated in cell walls (CW), the location and content of Si are being primed by the chemistry and structure of lignin. We investigated how Si interacts with the process of lignin formation in the CWs. In an in vitro system, we studied the interaction of SiO2 with the peroxidase-catalyzed polymerization of a lignin monomer into a lignin model compound, imitating conditions of the last step in lignin formation. FTIR and fluorescence spectroscopy and microscopy showed that Si is bound to the final polymer and that the structure of the Si-DHP differs from pure DHP. Fluorescence spectroscopy showed that Si does not bind to the monomers, so Si probably inhibits the formation of the larger lignin fragments, as evidenced by HPLC-DAD, by binding to dimmers formed during DHP synthesis. The structural changes of the polymer are related to the changed proportion of the fractions of various MW. The enzyme catalyzing DHP synthesis was not inhibited by Si. This may indicate that the complex formed with Si and short oligomers activates the enzyme, and prevents the formation of the large fragments. Obtained results may influence further investigations of Si interactions with lignin and understanding of Si effects on the CW structure.

 

Acknowledgements. This work was financed by the Ministry of the Education, Science and Technological Development of the Republic of Serbia, the contract No 451-03-9/2021-14/200053.

How to cite: Dragišić Maksimović, J., Djikanović, D., Kalauzi, A., Tanasijević, G., Maksimović, V., and Radotić, K.: Role of silicon in polymerization process during lignin synthesis and cell wall properties, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10375, https://doi.org/10.5194/egusphere-egu22-10375, 2022.

EGU22-11554 | Presentations | SSS7.3

Differences of antibiotic-adsorption properties on various soil organic carbon pools 

Anna Viktória Vancsik, Lili Szabó, Zsolt Pirger, László Bauer, Gergely Jakab, Attila Csaba Kondor, and Zoltán Szalai

The ever-increasing use of pharmaceuticals in the 21st century has led to growing concern about the environmental impact of pharmaceutical substances. In terms of their mechanism of action, antibiotics pose one of the most significant risks to the environment by altering microbiological conditions. Microbial degradation of organic matter in soil systems is the primary driver of the carbon cycle, so antibiotic pollution can significantly impact soil CO2 emissions. Soil organic matter is not a homogenous system; most soil organic carbon models separate different carbon pools with shorter and longer decomposition times. As previously published, different soil organic carbon pools may have different chemical properties, and therefore adsorption properties. This study focused on the adsorption properties of different soil carbon fractions.

Adsorption studies were performed on three fluoroquinolone antibiotics (ciprofloxacin, norfloxacin, ofloxacin) by batch and kinetic experiments on three Luvisol samples with different land use (arable, grassland, forest). The SOM fractionation was based on the Zimmermann procedure, and the batch and kinetic experiments have also been carried out on the fractions. The soil fractions were analysed by TOC, XRD, XRF, BET, FTIR during the adsorption. Langmuir and Freundlich models were applied on the equilibrium data. The kinetics data were analysed by pseudo-first and second-order kinetics models. The main parameters affecting adsorption were studied by principal component analysis. Our results suggest that the long-term carbon pools are most affected by the adsorption of antibiotics.

 

PREPARED WITH THE PROFESSIONAL SUPPORT OF THE DOCTORAL STUDENT SCHOLARSHIP PROGRAM OF THE CO-OPERATIVE DOCTORAL PROGRAM OF THE MINISTRY OF INNOVATION AND TECHNOLOGY FINANCED FROM THE NATIONAL RESEARCH, DEVELOPMENT AND INNOVATION FUND.

How to cite: Vancsik, A. V., Szabó, L., Pirger, Z., Bauer, L., Jakab, G., Kondor, A. C., and Szalai, Z.: Differences of antibiotic-adsorption properties on various soil organic carbon pools, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11554, https://doi.org/10.5194/egusphere-egu22-11554, 2022.

EGU22-11809 | Presentations | SSS7.3

Phenolic compounds from invasive Fallopia japonica inhibit nitrification 

Johanna Girardi, Sven Korz, Katherine Muñoz, Hermann Jungkunst, and Melanie Brunn

Riparian zones, important hotspots for nitrogen retention, are at risk of losing ecosystem functioning by species invasion and chemical contaminants. Invasive Fallopia japonica is suspected of using polyphenolic compounds as a “novel weapon” to decrease nitrification which may be amplified by copper pollution. Inhibited nitrification results in lower nitrate availability for competing plants and is presumed to be part of Fallopia japonica´s competitive strategy. Polyphenols are known to enter the soil with leaf litter, but may also be exuded by roots. Yet, the entry pathway and the specific compounds hampering nitrification are not fully determined. Within the group of secondary metabolites produced by Fallopia japonica, emodin and resveratrol are frequently described, although their role in the invasion strategy via modification of nitrification has never been tested. As plants are likely to increase exudation and the production of polyphenols under stress, synergistic inhibition of nitrification may be expected under contaminant pollution. Hence, the following hypotheses were tested: (I) Resveratrol and emodin inhibit nitrification. (II) Under copper stress, Fallopia japonica increases the content of emodin and resveratrol. Therefore, both stressors act synergistically on nitrification inhibition. (III) As we assume polyphenols to enter the soil via root exudation, nitrification is more strongly inhibited in the rhizosphere compared to the non-rooted soil.

We ran a mesocosm experiment with Fallopia japonica and copper additions (0, 90, 270, 810 mg Cu kg-1 soil) over two growing seasons. In September of the second year, we analyzed total polyphenol, resveratrol, and emodin concentration in roots, fresh leaves, and senescent leaves using LC-HRMS. Potential nitrification was measured in the rhizosphere and the non-rooted soil. All samples were analyzed in fivefold repetition across all copper concentrations. We further tested how the nitrification in soil responds to additions of resveratrol and emodin.

Resveratrol inhibited nitrification while for emodin no significant effect was found. Under copper stress, concentrations of resveratrol in roots and emodin in senescent leaves were elevated, while total polyphenolic content was not influenced. Copper contamination had a strong concentration-dependent inhibitive effect on potential nitrification. Independent of the copper concentration, Fallopia japonica decreased the potential nitrification slightly more than the highest copper concentration (by 75 % compared to control). Despite the increase of resveratrol in roots, the stressors had neither a synergistic nor additive effect, because of the overwhelming influence of Fallopia japonica alone. In contrast to hypothesis (III), nitrification inhibition was lower in the rhizosphere compared to the non-rooted soil, suggesting that nitrification was not primarily controlled by active root exudation but possibly more by aboveground leachates or litter decomposition. We link this to Fallopia japonica´s competition strategy hampering nitrification more in the soil that provides nitrate for competing plants.

Our data reveals that polyphenols produced by Fallopia japonica may act as a “novel weapon” to benefit the own nutrition and to outcompete other plants. By inhibiting nitrification outside the own rhizosphere, the nitrogen availability for the riparian plant community could be substantially reduced having potentially negative effects on the biodiversity of riparian ecosystems and their ecosystem functioning.

How to cite: Girardi, J., Korz, S., Muñoz, K., Jungkunst, H., and Brunn, M.: Phenolic compounds from invasive Fallopia japonica inhibit nitrification, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11809, https://doi.org/10.5194/egusphere-egu22-11809, 2022.

EGU22-11816 | Presentations | SSS7.3

Two-dimensional imaging of arsenic concentration and speciation with diffusive equilibrium in thin-film (DET) gels 

Andrea Castillejos Sepulveda, Edouard Metzger, Sten Littmann, Heidi Taubner, Arjun Chennu, Lais Gatti, Dirk de Beer, and Judith M. Klatt

Arsenic is common toxic contaminant in soils, but tracking its mobility is difficult because microscale processes govern its speciation and affinity to minerals. We aimed to unravel such dynamics in contaminated soils of Harz brook using a novel approach. By combining diffusive equilibrium in thin-film (DET) gels, spectrophotometric methods and hyperspectral imagery we were able to determine the spatial variability of arsenite (As(III)), arsenate (As(V)) and phosphate at submillimeter resolution. Iron was imaged simultaneously using the established colorimetric mapping of dissolved iron. The 2D-DET gel probes combined with XRF based element mapping in the solid and liquid phase, revealed microstructures and distinct mm-scale lamination surrounding porewater channels. Small-scale correlation analyses of arsenic and iron hotspots in the gels suggested active iron-driven local redox cycling of arsenic. The local processes overall point towards net release of sorbed As(V) in the form of As(III) into the porewater. These results show that 2D-DETs can deepen our understanding of the differential leaching of As(V) vs As(III) from iron oxides under anaerobic conditions. This study is the first fine-scale 2D characterization of arsenic speciation in porewater and represents a crucial step towards understanding the redox cycling and transfer of arsenic in heavily contaminated sediment and soil ecosystems. These insights may further lead to in-depth characterization of arsenic transfer mechanisms into the food web.

How to cite: Castillejos Sepulveda, A., Metzger, E., Littmann, S., Taubner, H., Chennu, A., Gatti, L., de Beer, D., and Klatt, J. M.: Two-dimensional imaging of arsenic concentration and speciation with diffusive equilibrium in thin-film (DET) gels, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11816, https://doi.org/10.5194/egusphere-egu22-11816, 2022.

EGU22-12093 | Presentations | SSS7.3

The remediation of abandoned mine tailing dumps using a pioneer plant species Pinus halepensis Mill. 

Pegah Kharazian, Gianluigi Bacchetta, Giovanna Cappai, Martina Piredda, and Giovanni Battista De Giudici

The reclamation of highly degraded abandoned mine tailings subjected to the pollutants dispersion in the surrounding areas is a crucial socio-economic issue. The use of plant species locally adapted with complementary ecological functions of the contaminated site and well-adjusted to the low soil functions without interfering with the local biodiversity is considered as a recovery technique.

The pioneer plant species Pinus halepensis, is growing spontaneously in Sardinian mine tailing dumps (SW- Sardinia, Italy) characterized by extreme concentrations of pollutants, mainly Zn, Pb, and Cd. In this study, a sampling campaign was done, related to plant materials (roots, barks, wood, and needles) and soils, aimed at assessing metal content, plant accumulation, and translocation behavior as well as the main mineralogical characteristics of the soil-plant system in a multidisciplinary approach.

Mineralogical compositions of substrates and roots assessed through X‐Ray Diffraction (XRD) detected mainly pyrite, dolomite, calcite, quartz, gypsum, and barite in the polluted substrates with the presence of iron sulphate, iron oxide as well as Zn, Pb, Cd, and other elements (Al, Si, and Fe) in different amounts on the plant root surface. Zn ore minerals (smithsonite) and muscovite were mostly in the deeper soil horizon. Zn was the most abundant metal in the substrate as well as all investigated plant tissues. The highest metals concentration range in the soil samples collected around the plant roots were measured for Zn (9043.2 -15299.52 mg kg-1), Pb (1604.47 – 4413.29 mg kg-1), and Cd (46.11 -58.54 mg kg-1). P. halepensis roots accumulated high metal concentrations (664.65 - 2710 mg kg-1 Zn, 58.39 - 735.88 mg kg-1 Pb, and 4.86 - 11.02 mg kg-1 Cd) mirroring the high metal-contamination in soil and plant's ability to tolerate highly metal polluted mine sites.

 The Phyto-stabilization potential of the plant was calculated through the biological accumulation and translocation parameters reported below one for all investigated plant tissues. Metal Translocation Factor (TF) detected in needles for Pb, Zn and Cd ranged between 0.03-0.32, 0.03-0.19, and 0.04-0.14, respectively and Cd TF (0.05-0.2) was more in wood than needles (0.04-0.14). Biological Concentration Factor (BCF) values of Cd, Zn and Pb were estimated to be 0.11-0.19, 0.07-0.18 and 0.02- 0.17, respectively.

The low metal TF rates indicated that the pioneer woody plant species P. halepensis behaves as an excluder. Thus, we can consider it as a promising plant that tolerates high concentration of Zn, Pb, and Cd and restrict the accumulation and translocation of metals to the aerial parts, performing his role as a woody plant species for long term reclamation, Phyto-stabilization, and re-vegetation process in abandoned mine tailing sites of arid and semiarid Mediterranean regions.

How to cite: Kharazian, P., Bacchetta, G., Cappai, G., Piredda, M., and De Giudici, G. B.: The remediation of abandoned mine tailing dumps using a pioneer plant species Pinus halepensis Mill., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12093, https://doi.org/10.5194/egusphere-egu22-12093, 2022.

EGU22-12377 | Presentations | SSS7.3 | Highlight

Circular material flow in construction – what to consider optimised mass management when waste is to become a resource 

Jessica Jennerheim, Maria Hansson, Edith Hammer, and Martijn van Praagh

Annually, millions of tons of granular material such as excavated soil, asphalt, crushed rock and concrete are generated in the building and construction sector in Sweden alone. These materials often exhibit elevated concentrations of several potentially hazardous substances compared to background values. These materials are often being regarded and treated as waste due to a lack of appropriate and optimised environmental risk assessment for reuse purposes. Subsequently, this classification prevents materials technically suitable for reuse forming circular material flows. Standardized and scientifically based criteria for reclassifying these materials as products rather than waste are lacking.  

The goal of this project (co-financed by the Swedish Transport Authority and SBUF, the Swedish construction industry’s organisation for research and development) is to enable circular flow of surplus construction materials such as excavated soil, asphalt, crushed rock and concrete with regard to environmental and health risks.

To achieve this the project focuses on improving the knowledge on the environmental properties of those surplus materials as well as by developing methods to assess governing environmental risks associated with circular use on a scientific basis. These will form the backbone of criteria for when masses can seize to be considered waste and be turned into a product instead: the End-of-Waste criteria. As these materials are often in contact with soil or can potentially leak hazardous substances to soil, a working hypothesis for the project is that the protection of ecological soil functions is governing for environmentally sound reuse, and as such for End-of-Waste criteria. Aspects that need to be considered for End-of-Waste criteria for these materials are many, broad and complex: Chemical and physical properties of the materials, concentrations and properties of potentially hazardous substances, transport and alteration of potentially hazardous substances as a function of their use and suitability in constructions, aging of the material, soil properties, other environmental and human health risks but also and legal and societal aspects.

We will gather information about use, classification and management of these materials and assess knowledge gaps regarding their environmental properties and as well as their potential environmental effects in light of current risk assessment, on ecotoxicological effects in soil particularly. Moreover, we will test and develop methods to more accurately reflect environmental risks that recycling of these material entails. Results will be used to outline relevant End-of-Waste criteria with regard to environmental and health risks. These criteria will be tested and evaluated.

 

How to cite: Jennerheim, J., Hansson, M., Hammer, E., and van Praagh, M.: Circular material flow in construction – what to consider optimised mass management when waste is to become a resource, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12377, https://doi.org/10.5194/egusphere-egu22-12377, 2022.

EGU22-12395 | Presentations | SSS7.3

Immobilisation of potentially toxic elements by natural sorbents: case study of spolic technosol from São Domingos Cu-ore deposit (Portugal) 

Pavol Midula, Oliver Wiche, Peter Andráš, Janka Ševčíková, Marek Drimal, João X. Matos, and Pavel Kuráň

Ore-mining industry produces a waste, which belongs to the main sources of potentially toxic elements (PTEs). One of the initial steps necessary for remediation project of contaminated sites is the research of PTEs mobile forms that are very capable to enter trophic chain mainly through plants. Great abandoned copper deposit São Domingos (Portugal) was selected as a representative area since the presence of high PTEs contents was proved there in previous research activities.

The presented work is focused on efficiency of natural sorbents on the immobilisation of PTEs in copper-polluted soil developed on tailings taken from the mine district, and to compare the treated soils as habitats of vascular plants. Several natural sorbents were selected for the adequate realization of experimental part: bentonite, charcoal, calcium carbonate, phosphate, chicken manure, and organo-zeolitic substrate (mixture of perlite, chicken manure, and calcium carbonate; 5:1:3).

From the whole area of the mine-dump, 10 sites were chosen as the representatives of not-so-heterogenic soil conditions, where the sampling itself was realized. As the representative PTEs; Cr, Mn, Co, Ni, Cu, Zn, As, Cd, and Sb were chosen. The sorbents were added to composite soil sample. Ex situ experiments were realized from 1st of June to 30th of September 2020. At the end of experiments, a soil sample from each pot were taken, dried and grained into the fine powder. For assessment of total concentration of elements, microwave digestion was performed, with 100 mg of grained powder dissolution in aqua regia. For the purpose to assess the forms of PTEs with the ability to be assimilated by plant roots, the extraction from 1 g of sample was executed in the sequence: I. deionized water; II. 1M ammonium acetate solution by pH 7 (both mixed for 12 hours); 0.01M citric acid solution (mixed for 2 hours). First two fractions can be referred as mobile / exchangeable. The prcessed soil solutions were measured by Inductively Coupled Plasma Mass Spectrometry (ICP-MS).

The technosol was contamined mainly by As, Cu, and Zn. Obtained results show that neither As nor Sb are present in inverstigated francions, whereas the concentrations of Cr is also very low. The other PTEs are contained in significat concentrations, mostly in mobile fraction, especially Co (36 %); Mn (27 %); Cu (25 %); and Cd (15 %). Among the natural sorbents, the only ones efficient in reducting the mobile forms were charcoal and organo-zeolitic substrate. These pots were also the only suitable habitats for mixture of grass species. In both cases, the mobile contents of Ni, Cu, and Zn were practically reduced to zero since the mobile contents of Co, Mn and Cd decreased to minimum. For better understanding of habitat-suitability after application of those sorbents, the plant-nutrient characterisation should be included in further research. Based on those results, both natural sorbents could be considered for application in remediation techniques aimed on those PTEs.

How to cite: Midula, P., Wiche, O., Andráš, P., Ševčíková, J., Drimal, M., Matos, J. X., and Kuráň, P.: Immobilisation of potentially toxic elements by natural sorbents: case study of spolic technosol from São Domingos Cu-ore deposit (Portugal), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12395, https://doi.org/10.5194/egusphere-egu22-12395, 2022.

EGU22-121 | Presentations | SSS7.4 | Highlight

Development capacity of a biodiverse pasture on Technosols for the rehabilitation of marginal lands (saline soils and mining waste) 

Antonio Aguilar-Garrido, Patrícia Vidigal, Ana Delaunay Caperta, and Maria Manuela Abreu

In the coming years, food demand will increase sharply in line with population growth. So, production will have to increase mostly by area expansion, which could lead to biodiversity loss and an increase in greenhouse gas emissions. Furthermore, both land and water resources are limited and already under severe pressure, making it imperative to ensure a more productive but also sustainable agricultural system. A possible solution to this could be the reclamation of marginal lands, such as saline and drought-prone lands, or even abandoned mining areas. In this sense, phytostabilisation is considered a suitable method for their rehabilitation and reconversion to agricultural and livestock activities while protecting the food chain. Some pasture plants can tolerate adverse growth conditions, such as mine waste or soil conditions (e.g. high concentrations of potentially hazardous elements (PHE) and EC, low pH, organic C and nutrients, and poor structure and water holding capacity). However, low and slow plant growth can limit environmental rehabilitation success. The combined use of Technosols and pastures may be an effective green technology towards reclaiming these marginal areas for food production. To verify this hypothesis, we studied the development of a biodiverse pasture in two biogeochemically distinct Technosols. The pasture is composed of leguminous plants of the genus Trifolium sp. (T. michelianum var. paradana Savi, T. vesiculosum var. cefala Savi, T. resupinatum var. nitrofolus L., and T. squarrosum L.) and Medicago sp., and gramineous plants such as Lolium multiflorum Lam. Two Technosols have been built using a saline Fluvisol collected in the Tagus Estuary and a gossan waste from the São Domingos mine together with a mixture of organic and inorganic amendments. The microcosm assay consisted of four treatments set up in pots of 1.5 dm3 volume (four replicates): (i) Fluvisol (VF), control of salinity affection (EC: 7.9 dS/m; exchangeable sodium 25%); (ii) Technosol-Fluvisol (TVF); (iii) gossan waste (G), control of PHE contamination (g/kg As: 9.1; Pb: 29.6) ; and (iv) Technosol-Gossan (TG). One month after sowing (5 g seeds per pot), the pasture biomass generated so far was mowed to simulate livestock grazing. Pasture in FV showed no seed germination, thus no plant growth. In contrast, in G (10 cm stem length and 1.41 g DW), was observed seed germination followed by plant growth, with gramineous dominating over leguminous plants. In the Technosols, pasture growth improved extraordinarily, with plants reaching more than 15 cm stem length and higher biomass with 2.59 g DW on TVF and 3.8 g DW on TG. Moreover, the pasture was more biodiverse, with the presence of as many leguminous as gramineous. Upon the first cut, the pasture was left for another month for the plants to regrow, and then mowed for the last time. During this time, L. multiflorum has kept growing to similar sizes to the first mowing, while the leguminous have not regrown as effectively. Thus, an integrated biotechnological approach involving Technosols and pastures could be a useful green technology to convert marginal lands into food production areas (grazing or foraging).

How to cite: Aguilar-Garrido, A., Vidigal, P., Caperta, A. D., and Abreu, M. M.: Development capacity of a biodiverse pasture on Technosols for the rehabilitation of marginal lands (saline soils and mining waste), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-121, https://doi.org/10.5194/egusphere-egu22-121, 2022.

EGU22-2063 | Presentations | SSS7.4

Method of isolation of soil microorganisms - destructors of biopolymers 

Nataliia Chupakhina, Nadezda Nikolaeva, Dmitriy Nechaev, Nadezda Medjalo, Anastasija Novichkova, Valerija Lobanova, and Galina Chupakhina

Method of isolation of soil microorganisms - destructors of biopolymers

Nataliia Chupakhina, Nadezda Nikolaeva, Dmitriy Nechaev, Nadezda Medjalo, Anastasija Novichkova, Valerija Lobanova and Galina Chupakhina

School of Life Sciences, Immanuel Kant Baltic Federal University, Universitetskaya str. 2, 236040 Kaliningrad, Russian Federation

Biological degradation of plastic by microorganisms and their enzymes is one of the ways to eliminate the waste resulting from mass production of plastic (Carr C. M., Clarke D. J., 2020).
We analyzed the soil microflora in the presence of fragments of oxo-biodegradable polyethylene with the addition of d2w. The experiment was conducted in the historical center of the city with medium-rise buildings and mass landscaping. We took soil samples at a depth of 10 cm in accordance with GOST 17.4.4.02-84. The soil was classified as heavy sandy loam with the pH of 7.4. Soil suspension (1 g of dry soil per 100 ml of sterile water) in an amount of 100 ml was distributed on solid nutrient media Nutrient dry agar, Nutrient broth with agar addition, GMF broth with agar addition (pH 7.3), sterilized in an autoclave for 20 min at 121 °C. The cultivation regime consisted of keeping the Petri dishes in a thermostat at a temperature of 37 ° C in the range from 1 to 7 days. When using dry soil, bacteria could not be isolated. We repeated the experiment using raw soil. The highest number of diverse colonies had grown on the Nutrient Dry agar medium. After the growth of a large number of microorganisms on Petri dishes, 20 non-repeating colonies of bacteria were isolated.

Next, we placed 5-7 polyethylene discs with the diameter of 7 mm on Petri dishes with 20 isolated colonies. We washed the discs with soap, soaked them in alcohol and rinsed them with autoclaved water. The bacteria were cultured in a thermostat at 37°C for 1 - 7 days. The maximum reliable biofouling of the polymer was recorded on day 7 in 50% of the cups with a double complete repetition of the experiment. 

We can conclude that in order to isolate the soil bacteria aiming to find out their destructive activity against biodegradable plastic, it is effective to use a soil from a depth of 10 cm in suspension with sterile water (1g per 100ml) and cultivate it on Nutrient dry agar (pH 7.3) at 37 ° C for 7 days.

How to cite: Chupakhina, N., Nikolaeva, N., Nechaev, D., Medjalo, N., Novichkova, A., Lobanova, V., and Chupakhina, G.: Method of isolation of soil microorganisms - destructors of biopolymers, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2063, https://doi.org/10.5194/egusphere-egu22-2063, 2022.

This study aimed to assess how the root system of Sesbania cannabina behaves under various concentrations of Cr (VI) and whether it could be a suitable species for the phyto-management of Cr (VI) contaminated soils. The experiment was conducted in rhizoboxes under greenhouse conditions using a sandy loam soil dosed with potassium dichromate giving eight different Cr (VI) concentrations (0 ppm, 5 ppm, 10 ppm, 20 ppm, 40 ppm, 80 ppm, 160 ppm, and 360 ppm). Plant roots were photographed with a Canon 60D (18-megapixel) camera with a 50 mm prime lens and analysed with Image J image processing software.

At 360 ppm concentration, seeds of S. cannabina germinated but were unable to grow further. However, under concentrations of 0-80ppm there was no significant change observed in the root growth (Length) . At 160 ppm root growth was reduced by about 55±0.65% at 25 days and 35±0.25 % at 60 days compared to plants grown at 0 ppm. After 60 days no chromium (VI) was detected in the soil for (0 to 160 ppm) in comparison with the control (with no plants) where no changes in Cr (VI) were observed.

 

The absence of Cr (VI) in soil after 60 days suggests that S. cannabina can be considered as a candidate for phyto-management of soils containing up to 160 ppm Cr (VI).

How to cite: Ibne Kamal, A. K., Batty, L., and Bartlett, R.: Evaluation of the root system and phyto-management potential of Sesbania cannabina grown in hexavalent chromium contaminated soils utilizing modified rhizobox systems., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4921, https://doi.org/10.5194/egusphere-egu22-4921, 2022.

EGU22-7788 | Presentations | SSS7.4

Lab and modelling tests to develop a geoelectric monitoring system for municipal solid waste landfills 

Lorenzo Panzeri, Monica Papini, Luca Formaggia, Anna Scotti, Alessio Fumagalli, Diego Arosio, and Laura Longoni

Although the indications contained in the European New Green Deal aim to inhibit the opening of new waste disposal sites through a circular economy of waste materials, the management of an extremely large number of municipal solid waste landfills (MSWLF) at different stages of their life cycle is a highly topical issue. Recent national regulations in Italy require the operators to monitor subsoil conditions for 30 years, but do not define clear and unambiguous guidelines.

According to analyses carried out at various landfill sites in northern Italy, monitoring activities were often found to be set up with wells equipped with piezometers. This approach is not optimal because when any contaminants are intercepted by the wells, the conditions of the subsoil may already be compromised. Therefore, the goal of our work is to develop methodologies to test and define an effective monitoring protocol that allows to mitigate the environmental and ecological risks associated with the subsurface propagation of pollutants at MSWLF sites.

The analysis of the subsoil conditions involves the design of monitoring methodologies and the interpretation of the obtained results, exploiting geological, hydrogeological and geophysical knowledge and skills. Accordingly, we rely on a research methodology based on the mutual and continuous exchange between the involved disciplines, starting from the initial geological assumptions that will be used to define a physical model of the subsurface. We mainly resort to indirect non-invasive techniques, in particular to the direct current (DC) electrical resistivity tomography (ERT) that on the one hand is indicated for identifying conductive anomalies associated with the propagation of pollutants, but on the other hand constitutes a complex ill-posed numerical problem. The major issues are related to the spatial resolution and the penetration depth of the technique that in turn control the capability to detect presence and the conditions of the extremely thin high-density polyethylene (HDPE) membrane used to isolate the landfill waste from the surroundings.

To tackle the abovementioned issues, we decided to perform properly downscaled laboratory experiments in order to test the effectiveness of DC methodology in controlled and well-known settings. Processing and interpretation of the collected geoelectrical data are supported by a new modelling code in Python programming language that is being developed.

We deem that the integration of lab and modelling tests is necessary to propose a sound standard approach to address complex and multidisciplinary problems related to landfill risk management.

How to cite: Panzeri, L., Papini, M., Formaggia, L., Scotti, A., Fumagalli, A., Arosio, D., and Longoni, L.: Lab and modelling tests to develop a geoelectric monitoring system for municipal solid waste landfills, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7788, https://doi.org/10.5194/egusphere-egu22-7788, 2022.

EGU22-8337 | Presentations | SSS7.4

Changes in the solubility and potential toxicity of metal(loid)s in soils treated with Technosols 

Antonio Aguilar-Garrido, Ana Romero-Freire, Mario Paniagua-López, Francisco Javier Martínez Garzón, and Francisco José Martín-Peinado

The influence of six different Technosols on solubility and potential toxicity of metal(loid)s from polluted soils was studied. Technosols were made with a soil affected by residual pollution coming from the Guadiamar Green Corridor and different combinations of three organic wastes [solid olive-mill (T1 and T4), sewage sludge (T2 and T5), and gardening vermicompost (T3 and T6)]. In addition, carbonate-rich material from a peatbog was applied to T1, T2, and T3; while marble sludge was added to T4, T5, and T6; iron-rich sludge (2%) was also applied to all Technosols. The comparison with a non-polluted soil from the study area is also included. Main soil properties (pH, EC, and OC) and solubility of potentially harmful elements (PHEs) in a soil:water extract (1:10) was measured both in Technosols as in soils after two months of incubation period. Potential toxicity was estimated by a germination bioassay with Trifolium pratense L.

The different Technosols showed changes in the solubility of PHEs with significant differences between elements. Cu and Zn strongly reduced the solubility in T3 and T6 in relation to the polluted soil; Cd was reduced in all cases without significant differences between Technosols; and Pb increased in Technosols treated with solid olive-mill (T1 and T4) and sewage sludge (T2 and T5). A significant increase in the solubility of As and Sb was detected in all cases. Likewise, soil treated with Technosols showed differences in solubility of PHEs. Cu and Zn were strongly reduced in the soil treated with T6, and Cd and Pb was reduced in all cases. Arsenic was reduced in all treated soils, although the soluble concentration remained slightly above the values of non-polluted soil. While Sb solubility increased in soils treated with Technosols made with carbonate-rich material from a peatbog (T1, T2, and T3), and maintained at the same level as in polluted soils for soils treated with Technosols made with marble sludge (T4, T5, and T6). These behaviours are mainly related to the increase in calcium carbonate content and the rise in pH in Technosols compared to the polluted soil. The germination bioassay with T. pratense showed very high toxicity (no germination) in soils treated with sewage sludge (T2 and T5), high toxicity (>75% reduction in germination in relation to non-polluted soil) in soils treated with solid olive-mill (T1 and T4), and low toxicity (15% reduction in germination in relation to non-polluted soil) in soils treated with gardening vermicompost (T3 and T6).

Our results indicate that the Technosol composed of gardening vermicompost were the most effective in the reduction of PHEs solubility and toxicity; however, additional studies should be made to assess the increase of mobility in As and Sb after Technosol treatment.

How to cite: Aguilar-Garrido, A., Romero-Freire, A., Paniagua-López, M., Martínez Garzón, F. J., and Martín-Peinado, F. J.: Changes in the solubility and potential toxicity of metal(loid)s in soils treated with Technosols, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8337, https://doi.org/10.5194/egusphere-egu22-8337, 2022.

EGU22-8381 | Presentations | SSS7.4

About the character of variation of 90Sr concentration in plants within elementary landscape geochemical system 

Elena Korobova, Vladimir Baranchukov, Denis Dolgushin, Oleg Tarasov, and Lyudmila Mikhailovskaya

A detailed study of 90Sr distribution in the overground vegetation cover within an elementary landscape geochemical system (top-slope-closing depression, ELGS) was performed in several forested and meadow test sites located in the Eastern Urals Radioactive Trace highly contaminated with this technogenic radionuclide during its release in the Kyshtym accident in 1957 (INES level 6). After selecting the suitable test sites, they were crossed by several lateral profiles along which relative altitude with a step of 1 m and precision of 1 cm was measured using theodolite Boif-DJD10. Averaged plant samples were taken at each point within a standard steel ring (14 cm diameter) later separated into the groups of cereals, legumes and other different herbs. Particular species were also collected if present at no less than seven consequent points. Strontium-90 activity was measured by the portable complex ”Colibri” (SKS-08P) developed in the Kurchatov Institute (Potapov et al., 2021). It allowed the measurement of radionuclide activity in field conditions. The determination error did not exceed 15%. Analysis of data obtained revealed the ordered variation of 90Sr in all groups of plants. This order was presented by the cyclic (periodic) change of 90Sr activity downslope without definite radionuclide accumulation at the foot of the slope and in depression as usually expected. A similar cyclic pattern was found for 137Cs variation in moss cover studied in the Chernobyl zone (Dolgushin & Korobova, 2021). We consider it reflects peculiarities of water migration in the soil-plant system at the ELGS scale. Specific 90Sr activity in forest grasses correlated with biomass volume while plant groups and species with the different activity of radionuclides significantly differed in 90Sr variation amplitude and its maximum values. The revealed features of variation likely reflect the peculiarities of 90Sr water migration in soils, the structure of root system, and the plants' ecological demands, such as their hydrophilicity.

References

Potapov, V.N., Ivanov, O.P., Luk’yanov, V.V. et al. Portable β-Spectrometer for 90Sr Activity Field-Measurements in Radioecology and Rehabilitation of Nuclear Energy Facilities. At Energy 129, 155–162 (2021). https://doi.org/10.1007/s10512-021-00728-5

Dolgushin, D. and Korobova, E.: New data on the character of 137Cs lateral and vertical migration in soil-litter-moss cover within undisturbed elementary landscape geochemical systems on the test site in the Chernobyl abandoned zone, Russia, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-7691, https://doi.org/10.5194/egusphere-egu21-7691, 2021.

How to cite: Korobova, E., Baranchukov, V., Dolgushin, D., Tarasov, O., and Mikhailovskaya, L.: About the character of variation of 90Sr concentration in plants within elementary landscape geochemical system, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8381, https://doi.org/10.5194/egusphere-egu22-8381, 2022.

EGU22-9882 | Presentations | SSS7.4 | Highlight

Environmental and human health risks due to mining activity in the soils and plants of the Remance mine, Panama 

Ana Cristina González-Valoys, José María Esbrí, José Ulises Jiménez Salgado, Rita Rodríguez, Eva María García-Noguero, Tisla Monteza-Destro, Miguel Vargas-Lombardo, Efrén Garcia-Ordiales, Jonatha Arrocha, Ernesto Martínez, Juan Antonio Campos, Eric Gutierréz, Rosario García-Giménez, Raimundo Jiménez-Ballesta, Francisco Jesús García-Navarro, and Pablo Higueras

Abstract

The Remance gold mine, in Veraguas (central Panama), had its last mining operation in 1999, using the cyanidation process for Au separation. As a result of this activity, three waste tailings were exposed to the weather, in addition to mine dumps and the open pit mining areas. Currently the area is inhabited by peasants who develop subsistence agriculture and livestock. Therefore, the objective of this study has been to evaluate the environmental and human health risks that this area represents. The total concentrations of potentially toxic elements (PTEs) such as As, Cu, Zn, Ba, Sb and Hg were determined in mining process areas, surrounding soils and edible and inedible plants in the area; in addition to the cyanide species and the enzymatic activity by dehydrogenase (DHA) in soils. The accumulated contamination index (PLI) and potential ecological risk (RI) were calculated, the carcinogenic (CR) and non-carcinogenic (HQ) risk to human health represented by soils and edible plants was estimated.

Regarding the degree of contamination, it is observed that the contamination is considerable in the tailings and the sediments of the pithead, and it spreads to the surroundings mainly in the sediments of the streams and their terraces, and, to a lesser degree, to the soils around it, showing that the main route of dissemination is through runoff; the same trend is followed by the potential ecological risk, being extreme in the sediments of the pithead, serious in the tailings and terrace sediments, high in the stream sediments and medium in the surrounding soils. The enzymatic activity by DHA tells us that the health of the surrounding soils is better than that of the stream sediments and terrace sediments, but less than in other sites affected by mining activity in Spain. Cyanide species are linked to DHA and this in turn is favoured by organic matter (OM). On the other hand, it was observed that cyanide elutes from the tailing’s piles in a complex cyanide way, favouring the transport of PTEs associated with it to the stream sediments.

Regarding the risks to human health in soils, As and Cu concentrations exceed the limits for non-carcinogenic and carcinogenic risk in both children and adults, with the residential scenario being the worst scenario, and for adults also the agricultural scenario. In edible plants such as rice, corn, cassava and tea leaves, Sb exceeds the limit for non-carcinogenic risk, and Cu and As for carcinogenic risk. Due to the potential ecological and human health risks that the area represents, actions must be taken to reduce them.

Keywords: potentially toxic elements (PTEs), gold mine, risk assessment, edible plants, human health.

How to cite: González-Valoys, A. C., Esbrí, J. M., Jiménez Salgado, J. U., Rodríguez, R., García-Noguero, E. M., Monteza-Destro, T., Vargas-Lombardo, M., Garcia-Ordiales, E., Arrocha, J., Martínez, E., Campos, J. A., Gutierréz, E., García-Giménez, R., Jiménez-Ballesta, R., García-Navarro, F. J., and Higueras, P.: Environmental and human health risks due to mining activity in the soils and plants of the Remance mine, Panama, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9882, https://doi.org/10.5194/egusphere-egu22-9882, 2022.

EGU22-10121 | Presentations | SSS7.4

Biochar and metal-organic framework nanocomposite: Application for immobilization of Cu in polluted industrial soil 

Muhammad Tukur Bayero, Mahmoud Mazarji, Tatiana Bauer, Tatiana Minkina, Svetlana Sushkova, Saglara Mandzhieva, Anna Timofeeva, Rıdvan Kızılkaya, and Coşkun Gülser

Mobilization of heavy metal ions has increasingly become a serious environmental issue globally, in the contaminated soils, calling for an urgent need to find environmentally friendly materials. With the continuing maturation of research on using biochar (BC) for the remediation of contaminated soil, compositing metal-organic framework (MOF), which is a highly crystalline porous material, has gradually attracted increasing attention. Compared with BC, BC-MOF has unique underexplored potential as an amendment for immobilization of heavy metal ions, including a high specific surface area and a large number of individual functional groups. The efficacy of BC-MOF for immobilization of toxic heavy metal contaminants in soil systems was investigated in the small leaching columns. The amendments (except BC) decreased the water-soluble and exchangeable content of Cu in Technosol compared to the unpolluted soil. The presence of MOF on the BC surface contributed to the higher immobilization efficacy, which was probably due to the synergistic effects among them. The mechanism of the immobilization process on BC-MOF was proposed. The obtained results highlight the promise of utilizing BC-MOF as a remediation material for Cu immobilization in the soil.

The research was financially supported by the Ministry of Science and Higher Education of the Russian Federation project on the development of the Young Scientist Laboratory (no. LabNOTs-21-01AB) and the Russian Foundation for Basic Research, project no. 19-34-60041 and 19-29-05265.

How to cite: Bayero, M. T., Mazarji, M., Bauer, T., Minkina, T., Sushkova, S., Mandzhieva, S., Timofeeva, A., Kızılkaya, R., and Gülser, C.: Biochar and metal-organic framework nanocomposite: Application for immobilization of Cu in polluted industrial soil, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10121, https://doi.org/10.5194/egusphere-egu22-10121, 2022.

EGU22-10520 | Presentations | SSS7.4

Tools for the adaptation to climate change and monitoring of soil environmental quality. 

Maria Jose Martínez-Sanchez, Carmen Perez-Sirvent, Salvadora Martínez-López, Lucía Martínez-Martínez, Carmen Gómez-Martínez, Jaume Bech, and Manuel Hernández-Córdoba

The use of indicators for soil monitoring is a long-established methodology that can be applied in the context of climate change. It makes it possible to establish the state of the variable to be measured and to obtain an objective signal of the changes that occur over time. Obtaining a climate adaptation indicator (CAI) for Mediterranean rainfed soils is a very useful monitoring tool for decision-making and for the incorporation of mitigation measures.

Within the LIFE AMDRYC4 project, a framework has been outlined in which a) environmental indicators of the chemical degradation of soils (salinity, alkalinity, fertility, phytotoxicity) and the erosion indicator, b) biodiversity indicators (vegetation indices, Shannon-Weaver indices, Simpson, ...) and c) organic carbon indicator have been used.  These primary indicators can be summarized resulting in a higher rank one represented by the soil ecosystem services indicator (SESI) which reflects the soil global condition obtained from the base data for each established monitoring point. By combining the SESI with a transformative indicator such as the one calculated on the basis of the increase of organic C in the soil (mitigation indicator, MI), the indicator of climate adaptation is obtained, using a procedure based on fuzzy methodology.

In the calculation of the phytotoxicity indicator, the assimilable values of selected trace elements that can cause phytotoxicity are determined and their variation over time is monitored. The selected trace elements, in this case Pb, Cd and B, may vary from one area to another depending on the geochemical background of the soil.  

The results obtained for several soil plots that have been subjected to organic matter incorporation treatments (sewage sludge, manure from different animals, composted plant remains) and their untreated counterparts (blank) clearly show an improvement of the soil characteristics after the application of the mentioned soil treatment strategies. The soils are not affected by the polluting processes, both in terms of potentially toxic elements and other emerging pollutants. The experimental data obtained indicate that the remediated soils can be useful to reduce the concentration of greenhouse gases in the atmosphere and represent a good tool for combating climate change.

The authors are grateful to LIFE16 CCA/ES/000123-LIFE AMDRYC4 Project for the financial support

How to cite: Martínez-Sanchez, M. J., Perez-Sirvent, C., Martínez-López, S., Martínez-Martínez, L., Gómez-Martínez, C., Bech, J., and Hernández-Córdoba, M.: Tools for the adaptation to climate change and monitoring of soil environmental quality., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10520, https://doi.org/10.5194/egusphere-egu22-10520, 2022.

EGU22-10530 | Presentations | SSS7.4 | Highlight

Planning for a healthy landscape to provide healthy soils. Restoring the Headwater System 

Selma B. Pena, Manuela R. Magalhães, and Maria Manuela Abreu

Land use and management practices are the primary cause of land degradation, including soil loss, soil pollution, and biodiversity loss. The goal of achieving a healthy soil capable of providing a wide range of ecosystem services should be guaranteed by integrating these goals in the landscape planning system.

Landscape planning methodologies should integrate a perspective of understanding the ecological suitability for different activities to avoid the risk of taking land degradation to a level of difficulty to recover. Those methodologies also need to involve the landowners, define the best management practices, and inform about landowners' financial returns. In Portugal, municipal plans (PDM) are defined at a scale of 1:25000, binding private parties. However, they are very superficial in informing landowners about land potentiality and management practices, and they do not identify where ecosystem restoration should occur.

This work aims to show how priority areas for restoration can be identified and included in municipal landscape plans to provide a good chemical, biological and physical condition of soils. The methodology is defined in Geographic Information System (GIS), and it is based on ecological-based principles. In particular, it is shown how the headwater system's restoration could be planned. The Headwater System is located between the beginning of the water network and the ridgeline and plays an essential role in regulating water and returning quality to the soil. The best suitable land use in the headwater system is a mixed forest consisting of species of potential natural vegetation that will return nutrients to the soil, maximize organic matter, reduce the risk of erosion and regulate the water cycle, while being an essential tool for controlling human activities, also preventing actions that lead to soil pollution.

The headwaters were mapped in GIS considering a drainage area of 0.05 km2, for the study area, which comprises 55 thousand hectares. The present study evaluates the current land uses in the headwaters, identifying Hotspots for ecological restoration and identifying opportunities for improving the landscape planning system.

The results show that about one-third of the study area is made up of headwaters located in a very hilly relief with very thin soils. The dominant land uses are eucalyptus forest, shrubs, and old areas of maritime pine that burned in the 2017 mega-fires. The potential natural vegetation shows that these sites are suitable for Quercus pyrenaica, Quercus suber, Quercus robur, and Castanea sativa.

The adequate land use of the headwater system will significantly impact the ecological function of its river basin. The restoration of these areas will provide better ecosystem services by avoiding soil loss and reducing floods downstream, improving water infiltration and its quality, and increasing biodiversity. The integration of headwater restoration in the landscape planning system can be a crucial tool for attaining healthy soils.

How to cite: Pena, S. B., Magalhães, M. R., and Abreu, M. M.: Planning for a healthy landscape to provide healthy soils. Restoring the Headwater System, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10530, https://doi.org/10.5194/egusphere-egu22-10530, 2022.

EGU22-11920 | Presentations | SSS7.4

Integrating methods to discriminate the soil historical pollution sources and assess the degree of contamination and related health risks in an urban environment:  the Commune of Santiago (Chile) case study. 

Stefano Albanese, Antonio Aruta, Linda Daniele, Claudia Cannatelli, Jamie T. Buscher, Benedetto De Vivo, Attila Petrik, Domenico Cicchella, and Annamaria Lima

The Commune of Santiago is an administrative unit belonging to Chile's capital city. It is the central hub for local transportation services and the centre of most national government functions. In 2017, a geochemical survey was carried out focusing on the topsoils of the commune. A total of 121 samples were homogeneously collected across an area of 22.4 sqkm to determine the spatial distribution of potentially toxic elements (PTE) and discover their primary and secondary sources. In the aim of the work, the assessment of human health risk for the local population was also included considering both the direct contact with soils and the breathing of airborne particles as relevant exposure pathways.
The geochemical baseline maps of 15 PTEs were generated using the Multifractal IDW (MIDW) interpolation, and map intervals were determined using a Concentration-Area plot considering the fractal structure of the geochemical data.
The contamination degree of the urban soil and its pattern was also calculated and mapped after developing a new index, named as Cumulative Contamination Degree (CCD), which integrate information about the severity of contamination and its spatial complexity.
A robust multivariate statistical analysis based on Principal Components (RPCA) was carried out considering the compositional nature of the geochemical data. In addition, to highlight the presence and the geochemical patterns depending on different contamination sources, a Sequential Binary Partition (SBP) was used to generate contrasts among those elements considered as proxies of specific processes (Urban traffic, productive settlements, etc.).
A probabilistic approach was chosen to assess the risk due to exposure to soils for the local population. It was based on Monte Carlo simulation to include uncertainty due to spatial variation of data and the relative mobility of people within the borders of the study area. 
The results obtained show that the innovation proposed to assess contamination and discriminate its sources, even when they are of secondary relevance, can generate positive feedback. Using a probabilistic approach in a non-site specific framework can even be considered a more reliable method to assess risks if we want to not underestimate the burden of uncertainty that substantially influences the results. 

How to cite: Albanese, S., Aruta, A., Daniele, L., Cannatelli, C., Buscher, J. T., De Vivo, B., Petrik, A., Cicchella, D., and Lima, A.: Integrating methods to discriminate the soil historical pollution sources and assess the degree of contamination and related health risks in an urban environment:  the Commune of Santiago (Chile) case study., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11920, https://doi.org/10.5194/egusphere-egu22-11920, 2022.

EGU22-12397 | Presentations | SSS7.4

Ecotoxicological risk assessment of the Guadiamar Green Corridor soils 20 years after the Aznalcóllar mining accident 

Mario Paniagua-López, Rocío Pastor-Jáuregui, Antonio Aguilar-Garrido, Ana Romero-Freire, and Manuel Sierra-Aragón

The present study evaluates the potential toxicity of the soils of the Guadiamar Green Corridor (GGC) (Seville, SW Spain) affected by the Aznalcóllar mine spill, one of the most important mining accidents in Europe in recent decades. Twenty years after the accident, soils affected by residual contamination are still present in the area, for which their potential toxicity was assessed by carrying out bioassays with lettuce (Latuca sativa L.), earthworms (Eisenia andrei) and determining the microbial activity by measuring the basal respiration and the microbial metabolic quotient (qCO2) of these soils at surface level (0-10 cm). A total of 84 soil samples were taken along the GGC, which were divided into four types (SS1-SS4) according to their physicochemical properties. Soils SS1 and SS2 showed a higher environmental toxicity risk, with a reduction in root elongation of lettuce seeds of 57% and 34% compared to the control, as well as a higher metabolic quotient (23.9 and 18.1 ng CcO2 µg Cmicrob-1 h-1), significantly higher than those measured in SS3 and SS4.

The potential risk to humans of these soils through ingestion, inhalation, and skin exposure routes for the main potentially toxic elements (PTEs) present in the GGC (Pb, and As) was also evaluated based on EPA empirical models, in which the total exposure through each of the three routes was considered. The results obtained indicate that there is no potential risk for human health throughout the GGC considering the exposure for both adults and children, although there are areas of the corridor where the Guideline values for both Pb and As are exceeded. This, together with the potential toxicity of the soils to the ecosystem shown by the bioassays, indicate the need to monitor over time the human and environmental risks in the area to guarantee the safety and enjoyment of this natural area.

How to cite: Paniagua-López, M., Pastor-Jáuregui, R., Aguilar-Garrido, A., Romero-Freire, A., and Sierra-Aragón, M.: Ecotoxicological risk assessment of the Guadiamar Green Corridor soils 20 years after the Aznalcóllar mining accident, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12397, https://doi.org/10.5194/egusphere-egu22-12397, 2022.

EGU22-12578 | Presentations | SSS7.4 | Highlight

Recovering abandoned mine area under semi-arid conditions with Technosols: a pilot assay in São Domingos legacy site 

Diego Aran, Maria Manuela Abreu, Catarina Diamantino, Edgar Carvalho, and Erika S. Santos

In Portugal, there are numerous abandoned mines, many of them derived from an intense activity in massive sulfides. These areas have several environmental problems associated to extreme physicochemical characteristics of their wastes and leachates.

In São Domingos mine, there is an additional environmental problem derived from the percolation of acid mine drainage over the slopes. This measure, used in environmental management of waters, contributed to the total degradation of the edaphic system and enrichment of bedrock in potentially toxic elements (PTE). A sustainable strategy for environmental recovery using Technosols, designed specifically for each contaminated or degraded material, has been evaluated in this scenario. A pilot area, with ​​1.5 ha, was rehabilitated by applying a 40 cm layer of Technosol with alkaline and eutrophic properties. A biodiverse plant system with herbaceous and shrubs was applied. The efficiency of the Technosol was evaluated at short-medium term by: a)several indicators associated to plant development (visual signs of phytotoxicity or nutritional deficiency, percentage of plant cover and height) after 15 days, 1, 3 and 6 months, and b)the maintenance of soil properties after 6 months. An area without Technosol application was used as control.

In Control area, plant cover was low, with maximum values ​​of 8.8% in the third month and height <10 cm. However this vegetation cover was not with the sown plants but only native species, like Spergularia purpurea (dominant species identified) that already existed in the area.

In the area with Technosol application, the plants did not show visible signs of phytotoxicity or nutritional deficiency. The percentage of plant cover increases rapidly. After 15 days plant cover was 10–30% and between first and third month, when there were warmer and dry conditions, the coverage increased to 70% and 90%, respectively.  After 6 months, coinciding with a change in the vegetative cycle and very dry and hot period from summer, the vegetation only decrease ≈10%. The height varied between 40 to 60 cm, reaching these maximum values in the third month. The plant development remained during the monitoring period. This plant evolution shows the significant water-holding capacity and fertility of the Technosol.

After 6 months, Technosol samples maintained the alkaline and eutrophic properties and physico-chemical characteristics (pH 7.5–7.8, 85 g C/kg, 6 g N/kg, Capacity of cation change 54.3–73 cmol+/kg). In the Technosol was not verified an enrichment by PTE, due to its direct contact with acidic and contaminated material. In Control area, the substrate maintained acidic reaction conditions (pH 3.5–3.6), very low fertility and high concentration of several elements.

Application of the Technosol contributed to the environmental recovery of mine areas, with very acid material with multielementar contamination where it is inexistent an edaphic system. This green technology is an effective solution to the conversion non-productive areas to productive areas.

Acknowledgment: This work was executed by EDM under a concession contract for environmental remediation of legacy mines in Portugal, in collaboration with ISA-ULisboa, LEAF and Inproyen, and was financed by POSEUR EC Cohesion Funds (145/POSEUR/2020). This research is into the scope of the project UID/AGR/04129/2020.

How to cite: Aran, D., Abreu, M. M., Diamantino, C., Carvalho, E., and S. Santos, E.: Recovering abandoned mine area under semi-arid conditions with Technosols: a pilot assay in São Domingos legacy site, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12578, https://doi.org/10.5194/egusphere-egu22-12578, 2022.

EGU22-12756 | Presentations | SSS7.4

Effect of Technosol application way on chemical quality of percolated leachates from sulfide-rich tailing 

Erika S. Santos, Adelaida Pastrac Lungu, and Diego Arán

Sulfide mine tailings present particular challenges in terms of risks of environmental recovery due to the acid lixiviation rich in several metal(oids) and sulfates. The conventional closure systems of these tailings have very high cost of implementation and, especially, maintenance of plant cover and continuous leachates treatment. Therefore, the improvement of the chemical characteristics of the tailings and their leachates is a more cost-effective strategy, especially if sustainable technologies are used. The use of designed Technosols is an option. The current study advances past field and laboratory findings by integrating a circular-economy approach into the chemical and soil science-based treatment of such tailings.

A column assay under controlled conditions was set up in order to evaluate the efficiency of a designed Technosol, applied into two ways, on the chemical improvement of the leachates from sulfide-rich tailing. A designed Technosol with alkaline and eutrophic properties was mixed with tailing material (TEC1) or applied as a superficial and distinct layer (TEC2). Tailing without treatment was used as control. The evolution of pH, Electrical conductivity (EC), Fe and sulfates levels was evaluated during 6 weeks in percolated leachates.

The tailing material was previously assessed as having pH ≈2.5 and total concentrations of 104-110 g Fe/kg and 60.0-67.5 g S/kg. Percolated leachates had a pH values between 1.73 and 2.68  and high EC (≈10 mS/cm) that indicate the high amount of several elements and, consequently, their environmental risk.

The first week’s pH increased to ≈6.5 for the TEC1 while in TEC2 was ≈2.5. Following weeks, the pH stabilized at around 7.3 in the TEC1 and 2.6 in the TEC2..  The EC decreased in the first week 73% in the TEC1 and 81% in the TEC2, compared to control. In control, EC presented upwards spikes within the first two weeks, reaching almost 14 mS/cm, and then more stable values. . Notably, the EC for TEC 1 was low (<1.6 mS/cm) and rather stable throughout the experiment, for TEC2 it presented large, gradual drops in the first two weeks, followed by rather stable value  and slightly lower than control. Fe concentrations largely mirrored these EC patterns. Iron concentrations in control were high varying 60 and 7546 mg/L during the assay. Technosol application was effective in the diminution of Fe concentrations in the leachates (TEC1 > 1000-fold and TEC2 2-100 fold lower than control).

Overall, both application mode of the Tecnhosol contribute to improvements in the leachates quality. Nonetheless, these results showed that TEC1 approach might result in more stable and better chemical quality of the leachates. Importantly, these findings also suggest the improvement in the tailing structure of TEC1 compared to TEC2, contributing to lower risk of lixiviation into the lower layers.

Acknowledgment: This research was supported by Fundação para a Ciência e Tecnologia, within the scope of the project UID/AGR/04129/2020 (Project Non-foodCropMine).

How to cite: S. Santos, E., Pastrac Lungu, A., and Arán, D.: Effect of Technosol application way on chemical quality of percolated leachates from sulfide-rich tailing, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12756, https://doi.org/10.5194/egusphere-egu22-12756, 2022.

EGU22-325 | Presentations | SSS7.5

Testing PFAS-Immobilization 

Thomas Bierbaum, Norbert Klaas, Jürgen Braun, Claus Haslauer, Frank Thomas Lange, Gudrun Nürenberg, and Marco Scheurer

In the region Rastatt/Baden-Baden in the Upper Rhine Valley, Germany, approximately 1000 ha of predominantly agricultural land is contaminated with per- and polyfluoroalkyl substances (PFASs). About one decade ago, paper-fibre biosolids mixed with compost were applied as fertiliser. This affects various land uses and the underlying aquifer as the main drinking water resource for surrounding cities and municipalities. Besides perfluorinated carboxylic and sulfonic acids, the soil pollution is characterised by high contents of polyfluorinated precursors.

Remediation attempts have been limited to date, particularly due to the large spatial extent of the contamination and the related high costs. Currently, the possibility to immobilise the PFASs in the soil material is discussed. One strategy is an in-situ approach: substances with a high sorption capacity would be applied on the ground surface and mixed with the soil. The altered soil should still fulfil its original purpose (e.g., for agriculture). In this project, two soil mixtures treated with different active carbon-based products are used. Another strategy could be to remove the contaminated soil and use it for construction (e.g., noise protection embankment) after treatment with the immobilisation agents. This is tested with a liquid soil mixture and a concrete mixture.

The purpose of this research is to develop a test strategy to evaluate the long-term leaching characteristics of treated soils. Therefore, tests on three scales (batch experiments, column experiments, lysimeters) including different saturation conditions (saturated, variably saturated) are conducted. Effluent concentrations are monitored over time with different analytical methods (target analysis, determination of sum parameters (EOF/AOF), Total Oxidisable Precursor Assay (TOP)). In Hydrus-1D, mathematical models are employed to evaluate the appropriateness of various processes (e.g., equilibrium sorption) and the leaching behaviour for time scales larger than laboratory experiments can reproduce. The measured and modelled time-series of effluent concentrations serve as the basis for a simple and cost-effective method for the experimental testing of immobilisation measures for PFASs.

The current data illustrate significant reductions in PFAS desorption rates in the soils treated with active carbon-based additives. The immobilisation efficacy is chain-length dependent with less retention for short-chain carboxylic acids (PFBA, PFPeA); similar characteristics are observed in all experimental methods. In the variably saturated lysimeter experiments, delayed elution of short-chain PFAS in treated soils indicate additional processes (such us biotransformation).

The presentation focuses on the illustration and interpretation of PFAS desorption characteristics in the differently treated soils, on a data-based comparison of the experimental methods and challenges in the numerical simulations. 

How to cite: Bierbaum, T., Klaas, N., Braun, J., Haslauer, C., Lange, F. T., Nürenberg, G., and Scheurer, M.: Testing PFAS-Immobilization, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-325, https://doi.org/10.5194/egusphere-egu22-325, 2022.

EGU22-1288 | Presentations | SSS7.5

19F-MRI and numerical modeling as a combined method for the measurement and prediction of fluorinated substances (e.g. PFASs) transport in porous media 

Elisabeth Fries, Denis Courtier-Murias, Jaime Gil Roca, Pierre-Emmanuel Peyneau, Eric Michel, and Béatrice Béchet

The topic of per- and polyfluoroalkyl substances (PFASs) is a late-breaking issue due to its high environmental relevance (toxicity, persistence and bio accumulation) and due to the detection of PFASs as contaminants in various environmental compartments including groundwater, surface water and soil. PFASs enter the environment for instance through industrial, agricultural, and house-hold activities. Restricted PFASs like PFOA by the Stockholm Convention 2019 have often been replaced by molecules of the same family with shorter carbon chains, and nowadays around 4000 different molecules of PFASs can be found in the environment. Although PFASs have been manufactured since the 1940s, the fate of these chemicals in soils was not studied until the late 1990s.
These studies have shown that the retention of PFASs in soils depends on various factors such as the PFASs type (e.g. molecular structure and carbon chain length), the soil properties (e.g. amount of organic carbon), and the pore water (e.g. degree of saturation, pH). Still, the retention – and release – mechanisms of PFASs on soil constituents are not completely elucidated, and a generic model able to predict the transport of PFASs in the subsoil is not available yet.
In this work, building on a recently developed approach coupling nuclear magnetic resonance (19F - NMR) and modeling [1], we used magnetic resonance imaging (19F - MRI) to obtain quantitative information of the spatial and temporal distribution of a fluorinated substance inside a porous medium during transport experiments. We validated the performance of our approach by comparing MRI profiles obtained during flow-through experiments in sand columns tracing the transport of sodium fluoride (NaF) – a fluorinated non-reactive tracer – with traditional breakthrough curve and numerical simulations. These results pave the way for the application of this innovative MRI/modeling approach PFASs and conclusively to improve our understanding and modeling capability of PFASs fate in porous media.


[1] Courtier-Murias, D., Michel, E., Rodts, S., & Lafolie, F. (2017). Novel Experimental-Modeling Approach for Characterizing Perfluorinated Surfactants in Soils. Environmental Science and Technology, 51(5), 2602–2610. https://doi.org/10.1021/acs.est.6b05671

How to cite: Fries, E., Courtier-Murias, D., Gil Roca, J., Peyneau, P.-E., Michel, E., and Béchet, B.: 19F-MRI and numerical modeling as a combined method for the measurement and prediction of fluorinated substances (e.g. PFASs) transport in porous media, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1288, https://doi.org/10.5194/egusphere-egu22-1288, 2022.

EGU22-1629 | Presentations | SSS7.5

Iron minerals as catalytic activators for persulfate for PFAS degradation 

Sarah Sühnholz, Julian Bosch, Katrin Mackenzie, and Lin Qian

Increasing environmental awareness and still countless cases of polluted environmental compartments have led to a wide range of publications on chemical remediation methods in recent years. Many of them are devoted to advanced oxidation processes (AOPs) in water, with increasing attention for the remediation of persistent pollutants in surface-, ground- and waste waters with sulfate radicals. Processes based on activation of the oxidants peroxydisulfate (PS) and peroxymonosulfate (PMS) are becoming more and more popular especially for in-situ remediation strategies for aquifers contaminated with perfluorinated alkyl substances (PFAS).

In contrast to hydroxyl radicals, sulfate radicals are able to attack the carboxylate group in many PFAS. Our main focus of attention lies on the heterogeneous activation of PS for sulfate-radical generation in order to exploit pollutant enrichment at active surfaces. In the present study, the activation of PS with various iron minerals was investigated. From the pool of iron minerals tested, iron(II)-sulfide (FeS) proved to be a powerful activator for PS. A more detailed investigation of the FeS/PS system (e.g. pH dependence of the reaction, long-term performance of FeS as activator for PS and determination of radical yield and activation energy) led to the hypothesis of an activation mechanism via homolytic bond cleavage and to the assumption that FeS acts as a true catalyst with a considerable lifetime and not, as would be expected, as a reagent.

Based on the experiences made, the FeS/PS system was optimized and specifically designed for degradation of PFOA (perfluorooctanoic acid), one of the most prominent PFAS representatives being in the focus of regulatory attention. Due to surface-mediated processes, the target reaction, PFOA degradation, can be carried out even in real groundwater samples, even additionally doped with typical water constituents, such as humic acid. These results are remarkable, as it is known that not only dissolved iron, but also chloride and dissolved organic matter (DOM) effectively quench free sulfate radicals. The presentation will inform about reaction products, yields and pathways under various reaction conditions. By mechanistic insight into the activation of PS via heterogeneous activation, this work breaks new ground for novel remediation approaches using PS for in-situ and ex-situ water treatment.

Based on the promising lab results, a field test of the FeS/PS system, as a part of the Intraplex® technology, was conducted at a contaminated site in western Germany. The main contaminants were the perfluorinated carboxylic acids with a total concentration of 0.6 µg/L. Using a combination of permanent injection points and direct push injections, an injection transects was carried out to apply the material across the main downstream direction of the PFAS plume. The effects of the pilot test were studied by an intensive monitoring program which determined the concentration of pollutants, transformation products and hydrogeochemical parameters. Preliminary results will be presented.

How to cite: Sühnholz, S., Bosch, J., Mackenzie, K., and Qian, L.: Iron minerals as catalytic activators for persulfate for PFAS degradation, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1629, https://doi.org/10.5194/egusphere-egu22-1629, 2022.

EGU22-1886 | Presentations | SSS7.5

Numerical simulation of dissolved PFAS transport in unsaturated soil columns 

Nadia Bali, Christina Ntente, Anastasia Stavrinou, Anastasios Melitsiotis, Michalis Karavasilis, Maria Theodoropoulou, and Christos Tsakiroglou

A 2-dimensional and dynamic numerical model of PFAS fate in unsaturated porous media is developed by accounting for the most important PFAS flow and mass-transfer mechanisms: convective flow, hydrodynamic dispersion, adsorption on solid grains and adsorption on air/water interfaces. Experimental measurements of the transient evolution of the shape of pendant and sessile drops are combined with image analysis software to develop equations describing the dynamics of the surface tension [1] and contact angle, associated with the surfactant (PFAS) sorption on the air/water interfaces, and formulate relevant models. Likewise, equilibrium and kinetic studies of PFAS sorption on soil grains are used to estimate all relevant (Langmuir, Freundlich, 1st-order, 2nd-order) sorption parameters [2]. Earlier work conducted on the immiscible two-phase flow in glass-etched pore networks [3] and soil columns [4] is used to model the dependence of capillary pressure and gas/water relative permeability curves on gas and water capillary numbers, regarded as dynamic parameters expressing the transient variation of the ratio of viscous to capillary forces. All aforementioned information is incorporated into the numerical code (JavaScript) so that a true-to-the physics model is obtained. The algorithm is developed in the platform of Comsol Multiphysics®.

First, forced imbibition in a soil column is simulated by considering the injection of uncontaminated water at a constant flow rate, until reaching the residual non-wetting phase (air) saturation. Then the water is replaced by PFAS-contaminated water, the flow rate is kept identical, and changes caused on the temporal and spatial distribution of water saturation and PFAS concentration across the soil column are mapped. Parametric analyses are done with respect to the type and concentration of PFAS, water injection flow rate, soil properties, and water composition. The numerical results could be used as a database for assessing the spreading of PFAS in vadose zone under varying conditions. The numerical model could be calibrated with regard to corresponding results from soil column tests, when such data become available.

Acknowledgements

This work was performed under Grant Agreement 101037509 — SCENARIOS — H2020-LC-GD-2020 / H2020-LC-GD-2020-3 (project title: “Strategies for health protection, pollution Control and Elimination of Next generAtion RefractIve Organic chemicals from the Soil, vadose zone and water” - acronym “SCENARIOS”) supported by the European Commission.

Literature

[1] Berry, J.D., Neeson, M.J., Dagastine, R.R., Chan, D.Y.C., Tabor, R.F., “Measurement of surface and interfacial tension using pendant drop tensiometry”,J. Coll. Interface Sci. 454 (2015) 226-237.

[2] Stavrinou, A., Aggelopoulos, C.A., Tsakiroglou, C.D.,“Exploring the adsorption mechanisms of cationic and anionic dyes onto agricultural waste peels of banana, cucumber and potato: Adsorption kinetics and equilibrium isotherms as a tool”,J.Env. Chem. Eng. (2018) 6958–6970.

[3] Tsakiroglou, C.D., Avraam, D.G., Payatakes, A.C., “Transient and steady-state relative permeabilities from two-phase flow experiments in planar pore networks”, Adv. Water Res. 30 (2007) 1981-1992.

[4] Tsakiroglou, C.D., “The Correlation of the Steady-State Gas / Water Relative Permeabilities of Porous Media with Gas and Water Capillary Numbers”, Oil & Gas Science and Technology - Revue d' IFP Energies nouvelles 74 (2019) 45, 11p.

How to cite: Bali, N., Ntente, C., Stavrinou, A., Melitsiotis, A., Karavasilis, M., Theodoropoulou, M., and Tsakiroglou, C.: Numerical simulation of dissolved PFAS transport in unsaturated soil columns, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1886, https://doi.org/10.5194/egusphere-egu22-1886, 2022.

EGU22-3821 | Presentations | SSS7.5 | Highlight

Establishing a zero-pollution circular economy: an overview of the Horizon2020-Green Deal project PROMISCES 

Julie Lions, Ulf Miehe, Veronika Zhiteneva, Anne Togola, Hans Groot, Martine Bakker, Eric D. van Hullebusch, Valeria Dulio, Michiel Zjip, Nicole Heine, Thomas Track, Alexander Sperlich, Matthias Zessner, Carme Bosch, Francesco Fatone, Stefan Colombano, Lidia Fernandez-Rojo, and Philippe Negrel

The PROMISCES project aims to understand the origins, routes and fates of industrial persistent, mobile and potentially toxic pollutants (iPM(T)s), including per- and polyfluoroalkyl substances (PFAS). These substances, also called “forever chemicals”, can be harmful to the environment, human health and circular economy resources.

PROMISCES will develop, test and demonstrate, new technologies and innovations to prevent, monitor and remediate iPM(T)s in the soil-sediment-water system under real-life conditions in the field. In this way, PROMISCES will establish more cost-effective, sustainable and ecological technologies for remediating PFAS and iPM(T)s.

The project will support the European Green Deal goals and sustainability roadmap of urbanised areas by reducing the environmental impacts on waters (surface and groundwater, urban runoff, drinking waters, wastewater, landfill leachate), soils (contaminated sites, brownfields) and dredged sediments (river, seaports) and of nutrient and material recovery (from sewage sludge to recovered fertilisers, dredged sediments to valorised materials, reclaimed water to crops).

To pursue this objective, PROMISCES is centered around seven representative case studies in different European regions linked with challenging chemical pollution, including locations in Spain, Italy, Bulgaria, France, Germany and the Danube river basin between Vienna and Budapest.

This Horizon2020-Green Deal project will address key technological challenges while also developing recommendations for implementing relevant EU plans - such as the Zero Pollution Action Plan, the Circular Economy Action Plan and the EU chemicals strategy for sustainability - and EU policy directives, such as the Sewage Sludge Directive and the Water Framework Directive.

How to cite: Lions, J., Miehe, U., Zhiteneva, V., Togola, A., Groot, H., Bakker, M., van Hullebusch, E. D., Dulio, V., Zjip, M., Heine, N., Track, T., Sperlich, A., Zessner, M., Bosch, C., Fatone, F., Colombano, S., Fernandez-Rojo, L., and Negrel, P.: Establishing a zero-pollution circular economy: an overview of the Horizon2020-Green Deal project PROMISCES, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3821, https://doi.org/10.5194/egusphere-egu22-3821, 2022.

EGU22-5011 | Presentations | SSS7.5

Dealing with a PFAS-polluted aquifer: from modelling to in-situ remediation treatment 

Carme Bosch, Lidia Fernandez-Rojo, Leonidas Perez-Estrada, Mireia Plà-Castellana, Nicolas Devau, Hans Groot, Annemieke Marsman, Marinel·la Farré, Miren López de Alda, Víctor Matamoros, Hector de Buen, and Ricard Mora

PFAS (per- and polyfluoroalkyl substances) are anthropogenic pollutants which are persistent in the environment and toxic for the human health. The H2020 PROMISCES project (GA-101036449), funded through the European Green Deal call, aims to understand the origins, routes and fates of these pollutants with the goal of moving forward a zero-pollution circular economy. One of the considered routes is the soil-groundwater continuum. Here, this route is studied within a case study located in Tordera aquifer (Spain) affected by PFAS from aqueous film forming foams used in fire-fighting activities.

Modelling the fate and transport of PFAS in a real aquifer is one of the objectives of PROMISCES. The proposed model train will be built by coupling a 1D-2D variably-saturated flow reactive model, developed using a modified version of HYDRUS/PHREEQC, for the vadose zone, and a 2D-fully saturated flow and reactive transport model based on Modflow/MT3D software, for the saturated zone. Thus, it will provide information about the fluxes from contaminated soil to groundwater in the investigated case study. The models produced within PROMISCES can be used to predict the PFAS plume evolution in similar polluted aquifers.

Another goal of the project is to develop novel remediation technologies to degrade PFAS in groundwater. Alternative oxidation processes (e.g. persulfate activated with Fe(II), H2O2, or (n)ZVI) will be tested at bench-scale. Based on degradation rate, by-product formation, reagent consumption and associated costs, the most efficient treatment will be chosen for up-scaling and applied within the investigated polluted aquifer.

In this conference, it will be presented how the PROMISCES project address the PFAS-polluted aquifer problem in a dedicated site with modelling tools and with the implementation of in situ advanced oxidation treatments to depollute groundwater.

How to cite: Bosch, C., Fernandez-Rojo, L., Perez-Estrada, L., Plà-Castellana, M., Devau, N., Groot, H., Marsman, A., Farré, M., López de Alda, M., Matamoros, V., de Buen, H., and Mora, R.: Dealing with a PFAS-polluted aquifer: from modelling to in-situ remediation treatment, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5011, https://doi.org/10.5194/egusphere-egu22-5011, 2022.

EGU22-6328 | Presentations | SSS7.5

A screening model for quantifying PFAS leaching in the vadose zone and mass discharge to groundwater 

Bo Guo, Jicai Zeng, Mark Brusseau, and Yonggen Zhang

A growing body of site investigations have demonstrated that vadose zones serve as significant long-term sources of PFAS to groundwater. Quantifying PFAS leaching in the vadose zone and mass discharge to groundwater is therefore critical for characterizing, managing, and mitigating long-term contamination risks. Recently, mathematical models representing the PFAS-specific transport and retention processes, including surfactant-induced flow, and rate-limited, nonlinear adsorption at solid-water and air-water interfaces, have been developed. While these advanced models provide fundamental insights into the primary processes controlling the long-term retention of PFAS, they are less suitable for screening-type applications due to significant computational cost and the requirement for detailed input parameters. To address this knowledge gap, we develop a simplified model by assuming steady-state infiltration and linear solid-phase and air-water interfacial adsorption; a two-domain model is used to represent kinetic solid-phase adsorption. We derive novel analytical solutions for the simplified model allowing for arbitrary initial conditions. The newly derived analytical solutions are then validated by application to miscible-displacement experiments under a wide range of conditions and by comparisons to a state-of-the-art comprehensive model under both experimental and field conditions applicable to PFAS-contamination sites. Overall, the simplified analytical model provides an efficient and accurate screening-type tool for quantifying long-term PFAS leaching in the vadose zone.

How to cite: Guo, B., Zeng, J., Brusseau, M., and Zhang, Y.: A screening model for quantifying PFAS leaching in the vadose zone and mass discharge to groundwater, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6328, https://doi.org/10.5194/egusphere-egu22-6328, 2022.

EGU22-8629 | Presentations | SSS7.5

PFAS transport in the unsaturated zone 

Ofer Dahan, Helena Hinrichsen, Erik Knud, Francesco Dondero, and Christos Tsakiroglou

Characterization of contaminants transport in the subsurface is a key component for any measures required for either prevention of water resources pollution or remediation of contaminated sites. Yet, most water resources pollution start with down percolation of contaminated water from land surface through the unsaturated zone to the underlying groundwater, and from there to related surface water resources such as rivers and lakes. Therefore, real time monitoring of contaminant migration in the unsaturated zone is critical for both characterization of pollutants fate and to effective remediation of contaminated sites.

Per- and polyfluoroalkyl substances (PFAS), are a group of new man-made chemicals which is considered emerging contaminant that impose great concern to human health. PFAS release to the environment is attributed to many sources. Yet, decomposition of domestic and industrial waste in landfills and fire-fighting training zones, where PFAS has been heavily implemented as part of the chemical compounds which were commonly used for fire control, are considered major sources for PFAS release to the environment.

SCENARIOS, is an EU funded project, aiming at achieving new strategies and methods for detection, quantification, control and elimination of PFAS from soil, vadose zone and water. Throughout the framework of project, advanced Vadose zone Monitoring Systems (VMS) are implemented at typical PFAS contaminated sites, landfills and fire fighting training zones. Sensoil's VMS technology provides real time continuous information on water flow and contaminant migration through the unsaturated zone, from land surface to the water-table. Analysis of unique data on PFAS transport in the subsurface, with respect to the site-specific hydro-geological, chemical and climatic conditions creates the base-ground for setting up the optimal remediation strategy. The mobility of PFAS in natural unsaturated zones, as measured in full scale field conditions, will be analysed by combining measurements of their interfacial properties with experiments in porous media models and multi-scale numerical models able to describe the fate of PFAS from the pore-scale to aquifer-scale.

How to cite: Dahan, O., Hinrichsen, H., Knud, E., Dondero, F., and Tsakiroglou, C.: PFAS transport in the unsaturated zone, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8629, https://doi.org/10.5194/egusphere-egu22-8629, 2022.

Sites contaminated with Per- and PolyFluoroAlkyl Substances (PFAS) possess a major challenge from a remediation point of view. In order to choose the best technologies for various conditions and document the efficiency of the remediation actions, it is essential to provide the optimal overview of the geological/hydraulic conditions at the contaminated site.

Constructing models with adequate degree of details, dense data coverage with high-quality data is necessary. Many studies rely of few data sources; resulting in relatively sparse data, however, in this study, we demonstrate how multiple different data sources may be combined in order to gain new insight on the geological history, which is central to the subsequent 3D geological modelling. The analyses in this study include (I) GIS analysis (Geomorphology/geology/aerial photos/high resolution elevation models), (II) Detailed borehole analysis (geotechnical, petrographic and textural analyses), (III) Spear auger mapping, (IV) Hydraulic test/analysis, (V) Chemical analysis, (VI) 3-d geological modelling.

All data will be incorporated in Geos´ GIS platform, GeoAtlasLive, allowing visualization of GIS layers, the geological model and hydraulic, chemical, data related to water and soil sampling points in a 3-D framework, thus allowing the optimal overview of multiple data in order to optimize the design for optimal monitoring and remediating strategies.

The model also forms the framework for detailed analysis of multiscale (lab-field scale) studies of contaminant transport/degradation processes in order to evaluate efficiency and risk assessment of various remediation approaches.

How to cite: Klint, K.: A “multiple lines of evidence approach” for site characterization and high-resolution 3D geological modelling/risk assessment of PFAS contaminated sites in Sweden and Israel., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12790, https://doi.org/10.5194/egusphere-egu22-12790, 2022.

EGU22-12885 | Presentations | SSS7.5

Investigation of Nanosecond Pulsed Cold Atmospheric Plasma (NSP-CAP) as a Means to the Highly Energy Efficient Degradation of PFAS in water 

Christos Aggelopoulos, Konstantia Papalexopoulou, Avner Ronen, and Gerasimos Rassias

Poly- and perfluoroalkyl substances (PFAS) are a class of organofluorine compounds liberally used over the past 60 years in aqueous film forming foam (AFFF), household products, etc. Perfluorooctanoic acid (PFOA) is widely used, while PFOA water contamination is intense often surpassing the EPA's lifetime health advisory (the limit is 70 ng/L). Due to extensive PFAS contamination in drinking water and their associated health risks, there has been a great focus on developing practical and effective water treatment technologies. Treatment technologies developed so far include adsorptive and destructive methods. Adsorptive methods to date exhibit promising results on the effective removal of some of PFAS but can be expensive and can cause secondary pollution due to the generation of PFAS contaminated residues. On the other hand, due to the recalcitrant nature of PFAS and the C–F bond, destructive methods face important challenges.[1] A promising destructive treatment technology which is well-established for its efficiency to remove a wide range of persistent contaminants in water is Cold Atmospheric Plasma (CAP) exhibiting advantages such as high energy efficiency, effectiveness, rapidness, and green character.[2] In this study, a novel highly energy efficient CAP method is implemented for the degradation of PFOA in water. A nanosecond pulsed (NSP) generator with a rising time of 4 ns and an in-liquid configuration of the CAP reactor for the direct generation of plasma species in the form of bubbles inside water, were used in order to maximize the energy efficiency of the process. The impact of the most critical parameters including treatment time, pulse voltage/frequency, plasma gas, PFOA initial concentration, etc. have been examined in detail for the method optimization.

Acknowledgments: This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No101037509.

How to cite: Aggelopoulos, C., Papalexopoulou, K., Ronen, A., and Rassias, G.: Investigation of Nanosecond Pulsed Cold Atmospheric Plasma (NSP-CAP) as a Means to the Highly Energy Efficient Degradation of PFAS in water, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12885, https://doi.org/10.5194/egusphere-egu22-12885, 2022.

In the last decade, per- and polyfluoroalkyl substances (PFAS) have been added to the list of pollutants of concern because they are persistent and potentially carcinogenic and have a high bioaccumulation rate. PFASs are detected in numerous environmental matrices, confirming their high persistence and mobility in the environment. In addition, the chemical structure of PFAS and their reactivity pose a technological challenge for remediation efforts. SCENARIOS is an H2020 research and innovation project involving 19 partners from 11 countries. The main objective is to fill knowledge gaps and achieve breakthrough TRL advances in toxicological assessment, congener detection and remediation of PFAS with unprecedented energy balance and virtually no external chemical additives, supporting EU countries in decision-making related to environmental safety and human health. The project will evaluate and develop state-of-the-art technologies and strategies for the detection, quantification, control, and elimination of PFAS in soil, vadose zone, and water by targeting outcomes within the 4 remediation quadrants: In-situ Soil, In-situ Water, Ex-situ Soil, and Ex-situ Water. Likewise, the project is developing a set of solutions to control pollution and remediate PFAS contaminated soils (agricultural and industrial) and groundwater. All these solutions will comply with the principle of green chemistry, zeroenergy, sustainability and circular economy. This paper presents the project progress in PFAS detection, monitoring and remediation.

How to cite: Dondero, F. and the SCENARIOS TEAM: PFAS as a test bed for the EU Green Deal zero pollution ambition from refractory and mobile organic chemicals: technologies, solutions and strategies developed under the H2020 project SCENARIOS, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13566, https://doi.org/10.5194/egusphere-egu22-13566, 2022.

The management of soils, leachate, and groundwater contaminated with per and polyfluorinated alkyl substances (PFAS) is a major challenge worldwide. Conventional remediation methods are not applicable due to the inherent chemical stability of PFAS substances. On the other hand, landfill disposal, which is common in Europe for other soil contaminants, presents its own challenge for PFAS contaminants, as the disposal of PFAS soil in a landfill creates a concentrated point source of water-soluble substances that poses a threat to human health and the environment.

This paper presents some of the recent progress made in stabilizing PFAS in soil using Rembind's proprietary stabilizer and Surface Active Foam Fractionation (SAFF) for treating PFAS contaminated water with air and electricity only.

The results of a pilot project and two large-scale projects are presented and discussed in terms of the sustainability of the approaches and the total cost per unit of soil/water treated.

 

How to cite: Hinrichsen, H., Murphy, P., and Stewart, R.: Stabilization and reuse of PFAS contaminated soil and treatment of leachate and groundwater by Surface Active Foam Fractionation (SAFF), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13567, https://doi.org/10.5194/egusphere-egu22-13567, 2022.

EGU22-351 | Presentations | SSS7.6

Assessing the Effectiveness of SLM Measures in Restoring Forest Ecosystem Services Disturbed by Forest Fires 

Beatriz Faria, João Nunes, Jinfeng Wu, Jantiene Baartman, Sergio Prats, and Luís Dias

Forest fires strongly disturb important hydrological ecosystem services, such as the provision of clean water, the regulation of water flows, erosion prevention and soil conservation, which can ultimately lead to public health problems for communities. Post-fire management measures can be very expensive and their effectiveness depends on many factors, i.e., the measures themselves, the selection of the target areas and extent of their application.

This study aimed at assessing which combination(s) of soil and water conservation (SWC) measures are the most effective in restoring forest ecosystem services, by preventing soil erosion and stream water contamination.

The OpenLISEM v5.97 model was applied, calibrated, and validated for the Odiáxere catchment in southern Portugal, using pre-fire and post-fire data gathered for a wildfire in 2003. The model is able to simulate runoff, sediment yield and total erosion for conditions before and after the fire. SWC measures were parameterized and tested in the model; these include mulching, riparian buffers, fuel breaks, prescribed fires, and erosion barriers, such as geotubes, contour-felled logs and contour bunds. Multiple application strategies for these measures are also being designed.

The results obtained from the model are being further assessed using a multiple criteria analysis (MCA), including criteria such as measure effectiveness (in decreasing erosion and sediment yield), application costs, benefits besides soil and water conservation, and other relevant factors. 

Finally, the results will be translated to more practical findings, that facilitate the implementation of the selected measures. Preliminary results showed that only some SWC measures should be implemented carefully in target spots to achieve the more effective solutions, useful information for forest managers and local administrators.

Keywords: forest fires, soil erosion, SWC measures, OpenLISEM.

How to cite: Faria, B., Nunes, J., Wu, J., Baartman, J., Prats, S., and Dias, L.: Assessing the Effectiveness of SLM Measures in Restoring Forest Ecosystem Services Disturbed by Forest Fires, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-351, https://doi.org/10.5194/egusphere-egu22-351, 2022.

EGU22-513 | Presentations | SSS7.6

The short-to medium-to long-term effects of bench terrace construction for planting eucalypt trees on soil water repellency 

Martinho A S Martins, Oscar González-Pelayo, Ana I Machado, Liliana B Simões, Meni Ben-Hur, and Jan J Keizer

The establishment of monospecific eucalypt plantations has increased considerably over the last half-century. At present, eucalypts are the tree species that are planted most widely across the world, and the common practice of soil mobilization prior to their planting has been associated with negative effects on soil functions such as nutrient and water cycling, carbon sequestration, soil erosion control and soil biodiversity conservation. In Central Portugal, the construction of bench terraces for eucalypt plantations areas has become increasingly common on steep terrain. Bench terrace construction implies the mobilization of large quantities of topsoil and, hence, elevated installation costs that are justified by the advantages in planting, fertilizer application, mechanical and agrichemical weed control and, ultimately, salvage logging and extraction of wood and logging residues. Although terraces are a traditional soil and water conservation technique, the hydrological impacts of bench terracing for forest plantations have been poorly studied. The use of heavy machinery in forests has been reported to increase soil compaction and bulk density and, thereby, decrease soil infiltration capacity and increase runoff generation. At the same time, the flat sections of bench terraces will increase not only infiltration of rainfall but also re-infiltration of run-on, for example from the adjacent risers or diverted forest tracks. In the case of eucalypt plantations, (re-)infiltration patterns may be strongly affected by soil water repellency (SWR), as eucalypts have been widely associated with strong to extreme SWR, especially during dry periods. This study aimed to quantify the short- to long-term impacts of bench terrace construction on SWR in eucalypt plantations along a chrono-sequence. To this end, SWR was measured in-situ, using the Methanol droplet (MED) test, for four different periods of time-since-terracing, i.e. 0, 5, 10 and 17 years after terracing. For each of these periods, three pairs of nearby terraced and non-terraced eucalypt plantations were studied, giving a total of 24 study sites. The MED measurements were done during the dry summer of 2020 (in plain covid-19 crisis conditions). The results showed clear differences in SWR between terraced and non-terraced eucalypt plantations. The median SWR was extreme in all non-terraced sites (MED classes 7 to 8) as opposed to highly variable at the terraced sites, ranging from wettable to strong (MED classes 0 to 6). In the case of the terraced sites, the time elapsed since terrace construction had a major impact. The median SWR was very wettable immediately as well as 5 years after terracing, while it was moderate and strong water repellent 10 and 17 years after terracing.

How to cite: Martins, M. A. S., González-Pelayo, O., Machado, A. I., Simões, L. B., Ben-Hur, M., and Keizer, J. J.: The short-to medium-to long-term effects of bench terrace construction for planting eucalypt trees on soil water repellency, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-513, https://doi.org/10.5194/egusphere-egu22-513, 2022.

EGU22-786 | Presentations | SSS7.6 | Highlight

Multi-taxa eDNA metabarcoding to monitor the degradation and restoration of belowground biota in agricultural soils 

Julian Donald, Jane Wills, Regan Early, Jerome Chave, Amaia Iribar, Jerome Murienne, Lucie Zinger, and Mailyn Gonzales

Land use change drives shifts in the taxonomic and functional diversity of soil organisms. Soil biota response will depend on both local scale agricultural management, and regional scale environmental conditions, with the diverse pool of soil taxa unlikely to respond in a uniform manner. To monitor the effect of land management and potential restoration efforts, we require techniques which can be deployed at various spatial scales, and which account for the high diversity of these communities. In this presentation, we describe the role of eDNA metabarcoding targeting a broad range of taxa to detect and parameterise these responses. We present the results of studies of habitat conversion of humid and dry forests in French Guiana and Colombia respectively, before detailing how the method will be used to monitor agricultural pasture in the UK undergoing conversion to “regenerative” management. In these studies, we combine measures of alpha and beta diversity to account for shifts in species abundance dependent on habitat management, and assignment of functional groups to infer shifts in soil biota functioning.  Overall, we find that results track expected shifts in biota, for example a replacement of a broad diversity of plant eDNA to a community signal largely dominated by grasses. Agricultural soils are characterised by a greater proportion of bacteria and protists associated with the cycling of labile nitrogen. We conclude by pointing to the weaknesses of the method, and highlighting the importance of complimentary methods in spite of fruitful deployment across varied habitats.

How to cite: Donald, J., Wills, J., Early, R., Chave, J., Iribar, A., Murienne, J., Zinger, L., and Gonzales, M.: Multi-taxa eDNA metabarcoding to monitor the degradation and restoration of belowground biota in agricultural soils, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-786, https://doi.org/10.5194/egusphere-egu22-786, 2022.

EGU22-2961 | Presentations | SSS7.6

Biophysical Measurements and Soil Loss Rate Assessment in Field Studies with Improved Cropping Techniques 

Ioannis Tsanis, Sofia Sarchani, Ioanna Panagea, and Aristeidis Koutroulis

Conventional cropping practices in soils that are under imminent threat of desertification, as those on Crete, often lead to soil erosion. An experiment under the framework of the SoilCare H2020 EU project was set up in three field sites in Western Crete, Greece, to evaluate the impacts of diverse cultivation techniques on soil loss. The targeted crops were olive orchards, vineyards and fruit orchards, in which a control versus treatment (soil-improving cropping system, SICS) experimental design was applied. Different tillage practices were compared in olive orchards (normally tilled to no-tilled), vetch cover crop to no vetch application was tested in a vineyard, whereas the conversion of an orange grove to an avocado farm was implemented. Soil loss (erosion/deposition) rate and soil properties as well were monitored between 2018 and 2021 in the field studies, comparing the results from control areas and SICS areas. The soil loss rate monitoring occurred with measurements through cross sections on the olive orchards and vineyards, or soil pins on the fruit orchards. The biophysical measurements concerned soil texture, saturated hydraulic conductivity, water stable aggregates, bulk density, mineral nitrogen, available phosphorous, exchangeable potassium, sodium and magnesium, soil organic carbon, soil pH, soil electrical conductivity, and earthworm count. The results [1] indicate that for the olive orchards, no-tillage practice reduced average erosion/deposition by 14%. The application of vetch treatment reduced mean soil loss by 13% and for the fruit orchards, the rotation of orange trees to avocado trees reduced mean soil erosion/deposition by over 34%. The biological health and condition of the SICS plots of the olive orchards and vineyards were improved compared to the control ones. Water and solute movement as well as soil aeration were appropriate for no-tillage and avocado trees treatments, and slightly improved in the case of vetch cover application. The experimental results demonstrate the critical footprint of improved cropping techniques to soil loss mitigation and sustainable land management.

[1] Tsanis, I.K., Seiradakis, K.D., Sarchani, S., Panagea, I.S., Alexakis, D.D., Koutroulis, A.G.: The Impact of Soil-Improving Cropping Practices on Erosion Rates: A Stakeholder-Oriented Field Experiment Assessment, Land 2021, 10(9): 964. https://doi.org/10.3390/land10090964 

How to cite: Tsanis, I., Sarchani, S., Panagea, I., and Koutroulis, A.: Biophysical Measurements and Soil Loss Rate Assessment in Field Studies with Improved Cropping Techniques, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2961, https://doi.org/10.5194/egusphere-egu22-2961, 2022.

EGU22-3385 | Presentations | SSS7.6

Evaluating biodiversity Offset effectiveness in landscape scale 

Seungyeon Lee, Yujin Shin, Dayong Jeong, and Seongwoo Jeon

Jeju island is located at the southern part of Korea peninsula which has unique natural resources due to volcanic eruption. This area has high demand of urbanization as well as high pressure of development since it is one of the best touristic places in Korea.(Ryu Hyeong Won & DongHo Jang, 2018) To mitigate the struggle between nature protection and development, environmental offset has been suggested (Martin et al., 2016; Quétier & Lavorel, 2011). But, because the effect of the offset turns out in the future, the appropriateness of offset is hard to calculate. Some research has been tried to predict future consequences of offset but either there are in virtual area or in defined area(Bull et al., 2014; Gordon et al., 2011). The object of this research is to quantify the effects of biodiversity offset in landscape level and find out the best way to keep no net loss in overall landscape. The study area is probable offset area of offsetability map (probable offset area map) derived from proceeding research. The effectiveness will be compared in four following scenarios. 1) Business as usual. 2) applying offset randomly 3) applying offset considering landscape pattern 4) applying offset considering landscape pattern and size. Each scenario will presume the future landscape change and the total biodiversity change. As a result, the scenario with applying offset will increase its biodiversity value than business as usual. Furthermore, the offset applying pattern and size will affect the increasing rates of biodiversity values. This research is pointing out the importance of considering landscape pattern and size while applying biodiversity offset. Also, the result will support the political decision for offsetting development impact to improve overall biodiversity. This work was conducted with the support of the Korea Environment Industry & Technology Institute (KEITI) through its Urban Ecological Health Promotion Technology Development Project, and funded by the Korea Ministry of Environment (MOE) (2020002770003).

How to cite: Lee, S., Shin, Y., Jeong, D., and Jeon, S.: Evaluating biodiversity Offset effectiveness in landscape scale, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3385, https://doi.org/10.5194/egusphere-egu22-3385, 2022.

EGU22-4553 | Presentations | SSS7.6

Field hydrological monitoring in vineyards for the analysis of shallow slope failures susceptibility and water stress phenomena 

Massimiliano Bordoni, Valerio Vivaldi, Giacomo Panza, and Claudia Meisina

Vineyards cultivated in steep terrains are widespread all over the world, constituting the main economic activity and landscape element in many territories. However, these vineyards can be affected by several problems, mainly due to water stress in dry periods and shallow slope instabilities during very intense thunderstorms or prolonged rainy periods. Both these problems provoke significant damages to the grapevines and the implants, together with a general loss of fertility and biodiversity in the soil horizons. Sustainable managements of the inter-rows, which limit or exclude tillage operations in soils, can represent a useful solutions to reduce the phenomena of water stress and of the triggering of shallow slope failures. Since they could modify the soil hydrological behaviors, a continuous-in-time soil hydrological monitoring is required to highlight differences on soil moisture along different dry and wet periods between vineyards managed in different ways. The aim of this work is, then, to present the results of a field hydrological monitoring carried on vineyards managed in different ways to highlight differences on soil water content trends in different seasons. The results of this monitoring can infer to different responses in terms of possible water stress phenomena and susceptibility towards shallow slope failures. Some test-sites were selected in northern Italian Appenines, in two important wine districts very prone to water stress and slope instabilities. The field monitoring is carried out with a set of soil water content sensors, installed at different depths in the soil profile and in inter-rows characterized by different soil managements, both with traditional tillages and sustainable practices (permanent grass cover, alternation between grass cover). Soil water content trends collected at the same depth in different test-sites allow to highlight the impact of the different practices in soil hydrological behaviors and on the probability of low soil moisture (predisposing factor to water stress) or saturated conditions (predisposing factor to slope instaibilities). This work is realized in the frame of VIRECLI (funded by Regione Lombardia) and LIFE-DRIVE projects.

How to cite: Bordoni, M., Vivaldi, V., Panza, G., and Meisina, C.: Field hydrological monitoring in vineyards for the analysis of shallow slope failures susceptibility and water stress phenomena, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4553, https://doi.org/10.5194/egusphere-egu22-4553, 2022.

EGU22-5230 | Presentations | SSS7.6 | Highlight

Recovery of compacted subsoil : introducing the ROCSUB project 

Alice Johannes, Mario Fontana, Johannes Köstel, Thomas Keller, Peter Weisskopf, and Luca Bragazza

Severe subsoil compaction can occur during construction due to heavy construction machinery or storage of excavation material. This has consequences on many soil functions such as water storage and purification capacity, water and nutrient uptake by plants, etc. The consequences of subsoil compaction are known but the means and time for recovery are not well documented. Subsoil recovery is sometimes even considered unreachable at human scale.

The aim of the ROCSUB project (Restoration Of Compacted SUBsoil) is to monitor the effects of subsoil compaction on the long term and evaluate the potential of two different restoration methods (mechanical and biological) and the time needed for recovery.

The experiment started in 2020 and takes place on a field in western Switzerland with loamy texture. The subsoil was severely compacted by a heavy pile of excavation material. Compaction occurred directly on the subsoil, after topsoil removal. Visible signs of compaction were detected up to 70 cm depth.

The experiment is designed along three mechanical axes (compacted, mechanically loosened, control) and three vegetal axes (permanent grass, crop, willow trees) with four replication of each combination, resulting in 36 plots. The mechanical loosening was performed with an excavator and willow trees were selected as the most promising bioengineering method for restoring the subsoil structure.

Following properties are monitored or sampled on a yearly basis: soil moisture via TDR probe, yield, plant biomass and physiology, soil structure properties including bulk density, air capacity, water holding capacity, air permeability. The soil structure evolution is also assessed via X-ray computed tomography.

Preliminary results show an improvement in plant biomass (grass and willow) after mechanical loosening treatment. We expect plants of the compacted plots to suffer most during extreme weather conditions (dry or wet). The mechanically loosened treatment is expected to recover drainage function rapidly while water holding capacity should take more time. The combination of mechanical loosening and willow tree is expected to recover most subsoil functions fastest.

How to cite: Johannes, A., Fontana, M., Köstel, J., Keller, T., Weisskopf, P., and Bragazza, L.: Recovery of compacted subsoil : introducing the ROCSUB project, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5230, https://doi.org/10.5194/egusphere-egu22-5230, 2022.

EGU22-5471 | Presentations | SSS7.6

Large mammalian herbivores increase the stability of soil carbon in grazing ecosystems 

Dilip Naidu and Sumanta Bagchi

Grazing by mammalian herbivores can serve as a climate mitigation strategy as it influences the size and stability of a large soil-C pool (more than 200 Pg C in the world’s grasslands, steppes, and savannas). With the continuing decline in large mammalian herbivores, the resultant loss in grazer functions can be consequential for this soil-C pool, and ultimately for the global carbon cycle. While herbivore effects on the size of the soil-C pool and conditions under which they lead to gains/loss in soil-C are well known, their effects on the equally important aspect of stability of soil-C remain unknown. Also unknown is whether herbivore effects on soil-C and soil-N are related to each other. We use a replicated long-term grazer-exclusion experiment in the Trans-Himalayan ecosystem of northern India to evaluate the consequences of herbivore-loss on the stability of soil-C by quantifying interannual fluctuations (2006-2021). We test how grazers influence the stability of soil-C due to their impacts on both soil-C and soil-N. We find that experimental herbivore-exclusion raises inter-annual fluctuations in both soil-C and soil-N. Importantly, structural equations modelling show that herbivore-exclusion increases the soil-C and soil-N coupling, and weakens the stabilizing effect of soil-N on soil-C. Herbivore-loss, and consequent decline in grazer functions in soil, can therefore undermine the stability of soil-C. Conserving and restoring the functional role of large mammalian herbivores is critical for this valuable ecological service and towards climate mitigation.

How to cite: Naidu, D. and Bagchi, S.: Large mammalian herbivores increase the stability of soil carbon in grazing ecosystems, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5471, https://doi.org/10.5194/egusphere-egu22-5471, 2022.

EGU22-5518 | Presentations | SSS7.6 | Highlight

Short-term hydrological response of soil after wildfire in a semi-arid landscape covered by Macrochloa tenacissima (L.) Kunth 

Demetrio Antonio Zema, Pedro Antonio Plaza-Àlvarez, S. M. Mijan Uddin, Misagh Parhizkar, and Manuel Esteban Lucas-Borja

A proper monitoring and management of semi-arid landscapes affected by wildfire is needed to reduce its effects on the soil hydrological response in the wet season. Despite ample literature on the post-fire hydrology in forest soils, it is not well documented how the hydrologic processes respond to changes in vegetation cover and soil properties of semi-arid lands (such as the rangeland and areas with sparse forests) after wildfire. To fill this gap, this study evaluates soil hydrology in a semi-arid soil of Central Eastern Spain dominated by Macrochloa tenacissima (a widely-spread species in Northern Africa and Iberian Peninsula) after a wildfire. Rainfall simulations were  carried out under three soil conditions (bare soil, burned and soils with unburned vegetation) and low-to-high slopes, and infiltration, surface runoff and erosion were measured. Infiltration rates did not noticeably vary among the three soil conditions (maximum variability equal to 20%). Compared to the bare soil, the burned area (previously vegetated with M. tenacissima) produced a runoff volume lowered by 27%. In contrast, in the area covered by the same species but unburned, runoff was lowered by 58%. The burned areas with M. tenacissima produced soil losses that were similar as those measured in bare soils, and, in steeper slopes, even higher. Erosion was instead much lower (-83%) in the sites with unburned vegetation. Overall, the control of erosion in these semi-arid lands is beneficial to reduce the possible hydrological effects downstream of these fire-prone areas. In this direction, the establishment of vegetation strips of M. tenacissima in large and steep drylands of bare soil left by fire may be suggested to land managers.

How to cite: Zema, D. A., Plaza-Àlvarez, P. A., Mijan Uddin, S. M., Parhizkar, M., and Lucas-Borja, M. E.: Short-term hydrological response of soil after wildfire in a semi-arid landscape covered by Macrochloa tenacissima (L.) Kunth, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5518, https://doi.org/10.5194/egusphere-egu22-5518, 2022.

EGU22-6043 | Presentations | SSS7.6 | Highlight

Wildfire and forest management necessities to avoid soil degradation. A case study in a Mediterranean forest 

Marcos Francos, Xavier Úbeda, and Paulo Pereira

Forest management is a common practice to reduce wildfire risk, furthermore in ecosystems prone to fire and where wildfires are recurrent as is the Mediterranean ecosystem. However, few studies were carried out about the effects of pre-fire management in wildfire affected areas and the effectivity of these managements decreasing soil nutrients depletion. The aim of this study is to examine the effectivity of this treatment (clear-cutting operation whereby part of the vegetation was cut and left covering soil surface) carried out before a wildfire that broke out in 2015 and evaluate if the management had influence on wildfire severity of three sites: two exposed to management practices in 2005 (site M05B) and in 2015 (site M15B)–and one that did not undergo any management (NMB) and to compare their properties with those recorded in a Control area unaffected by 2015 wildfire. The fourth areas were sampled and compared 2, 10 and 18 months after wildfire. The study area is located in Ódena (NE Spain). The wildfire occurred at July 27th of 2015 and burned 1237 ha. In each area and in each sampling moment we collected 9 topsoil samples (0-5 cm depth) and analyzed: aggregate stability (AS), soil organic matter (SOM) content, total nitrogen (TN), pH, electrical conductivity (EC), extractable calcium (Ca), magnesium (Mg), sodium (Na), and potassium (K). Two-way ANOVA statistical analysis was carried out to check the differences between managements and time. Results show significant differences (p value < 0.05) between managements 2 months after wildfire in AS, TN, SOM, pH, EC, Ca and Mg; 10 months after wildfire in AS, SOM, pH, EC, Ca, Mg and Na; and 18 months after wildfire in AS, SOM, pH, EC, Ca and Mg. Differences between sampling time were registered in M05B, M15B and NMB for each soil analyzed property. Control did not vary significantly (p value > 0.05) over time due to the absence of fire or manage perturbation. The vegetation removal in M05B decreased the wildfire impact on soil, perhaps due to the fuel load reduction and consequent low fire severity. In this case if forest management is carried out few months before the fire, the impact is strongly reduced as occurs in M15B. High fuel density that we found in NMB site should be managed to avoid high wildfire severity. Overall, the time of forest management previous to fire is a crucial aspect that influence on fire severity and the consequent impact on soil properties. Therefore, this type of studies and knowledge should be taken into account and incorporated when carrying out forest management plans to periodically manage certain areas.

How to cite: Francos, M., Úbeda, X., and Pereira, P.: Wildfire and forest management necessities to avoid soil degradation. A case study in a Mediterranean forest, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6043, https://doi.org/10.5194/egusphere-egu22-6043, 2022.

EGU22-6279 | Presentations | SSS7.6

Practical guideline for applying carbon-based materials for restoration of degraded soil 

Carlotta Carlini, Sampriti Chaudhuri, Nicolas Greggio, Diego Marazza, Oliver Mann, Thorsten Huffer, Thilo Hofmann, and Gabriel Sigmund

The application of carbonaceous materials for the restoration of degraded soil has been a field of active research for the last decades. Several studies show their ability to immobilize heavy metals and polycyclic aromatic compounds (PACs) in contaminated soils. However, there is still a lack of guidance to translate what has been demonstrated in the lab into practice. The possibility of immobilising a contaminant depends on the type of material used and its specific chemical and physical properties, as well as the quantity applied. The suitable sorbent selection from the variety of carbon-based materials available, including biochar and activated carbon, is one of the major difficulties for practitioners. Nevertheless, a generic assement of sorbent quantities needed for a specific immobilization at a given site is not possible, due to specific material properties, as well as differences in contamination scenario and soil properties. To overcome this bottleneck, we propose a workflow to evaluate the applicability of carbon-based materials for heavy metal- and PACs contaminated soil remediation, for scientists and practitioners alike.

We initially carried out a literature review collecting knowledge on the influence of feedstock, production temperature and possible modification steps on a material’s physical and chemical characteristics. We further conducted expert interviews with practitioners and regulators in Austria. Thereafter, we performed laboratory scale experiments to complement the knowledge collected. For our experimental work, eleven carbon-based materials were used. A total of ten anonymized contaminated soil samples from existing remediation sites containing varying amounts of arsenic, antimony, cadmium, zinc, lead and PACs were used for batch and column experimentation to determine suitability and amendment rate of biochar for soil remediation. These experiments included the investigation of amendment scenarios at different scales (laboratory batch- to percolation column scale) to assess the suitability of small-scale batch experiments in our workflow. Batch tests with 5g of <2 mm sieved soil were performed according to OECD 106 (2000). Batch tests with 100 g of non-sieved soil were performed to maintain the heterogeneity of the sample at a solid/liquid ratio of 1:2 (EN 19529:2015-12) and 1:10 (EN 12457-4:2002). After 24 h shaking we centrifuged the samples and filtered the supernatant at < 45 µm for subsequent sample preparation and analysis via ICP-MS, GC-MS and LC-MS. At last, column percolation tests were performed according to EN 14405:2017, using columns with 6 cm diameter, 38 cm height and containing 1.5 kg of soil.

Our work will be summarized by a contaminant and site specific decision tree for suitability of biochar application. The decision tree will guide the practitioner through a series of questions that will assess whether the site is suitable for biochar-based soil remediation, which contaminants can be treated, what characteristics a suitable sorbent should have, what range in sorption affinity could be expected for a suitable sorbent, and what are potential application rates in the field.

This study was partially funded by the Austrian Federal Ministry of Sustainability and Tourism (BMNT), management by Kommunalkredit Public Consulting GmbH (grant number B820017).

How to cite: Carlini, C., Chaudhuri, S., Greggio, N., Marazza, D., Mann, O., Huffer, T., Hofmann, T., and Sigmund, G.: Practical guideline for applying carbon-based materials for restoration of degraded soil, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6279, https://doi.org/10.5194/egusphere-egu22-6279, 2022.

Rare earth elements (REEs) exploitation has led to severe soil degradation in Southern China. Revegetation is a promising way to minimize the negative environmental impact of abandoned REEs mine tailings. However, little is known about how soil microbial communities respond to the vegetation restoration in degraded REEs mine lands, although much research has emphasized their important roles in ecological restoration. Here, we evaluated soil nutrients, microbial community structure and enzyme activities in both surface and deep soils where vegetation restoration was implemented using arbor-shrub-grass pattern for 9 years. Our results showed that vegetation restoration have significantly altered the diversity, structure and co-occurrence patterns of microbial community, especially in surface soil. The bacterial phyla Proteobacteria, Actinobacteria, and Acidobacteria were more abundant at the restored site than at the unrestored site. Potential plant growth promoting bacteria (PGPB) were identified by comparing 16S sequences against a self-constructed PGPB database via BLAST, and it was found that the abundance of nutrient (e.g. P, N and Fe) accumulating-bacteria was greater, but the abundance of ACC deaminase-producing bacteria was lower at the restored site than at the unrestored site. This provides evidence for the potential role of plant beneficial bacteria in improving the performance of vegetation restoration in degraded mine lands.

How to cite: Kong, Z.: Variation in soil microbial communities following vegetation restoration in a Rare Earth Elements Mine area, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6868, https://doi.org/10.5194/egusphere-egu22-6868, 2022.

EGU22-7424 | Presentations | SSS7.6

A first attempt to evaluate the impact of agricultural practices on slope stability 

Evelina Volpe, Stefano Luigi Gariano, Francesca Ardizzone, Federica Fiorucci, and Diana Salciarini

Shallow landslides induced by rainfall are very common movements that occur in hilly and mountainous areas causing losses of human life, ecological and environmental impacts and considerable economical costs. The predisposing factors for shallow landslides are represented by morphology, lithology, soil type, land cover, and land use, and their changes. Land use is constantly evolving because it is linked to human activities; the increase of population pressure and economic development forced more people to use all areas available. 
A lot of scientific contributions analyzed the positive effects of vegetation cover on slope stability, focusing on the mechanical effects of vegetation (both vegetation cover and roots) in terms of providing additional mechanical root reinforcement. Conversely, the effects of agricultural practices on slope stability conditions are poorly investigated. Indeed, while agriculture contributes positively to the landscape, biodiversity, climate and fires, on the other hand, improper agricultural practices and soil uses can modify the mechanical properties of the involved soils leading to a possible increase of instability phenomena. 
To evaluate the effect of agricultural practices on the slope stability conditions, we present an application of a probabilistic, physically-based model for the triggering of rainfall-induced landslides (PG_TRIGRS – a probabilistic, geostatistic-based extension of the TRIGRS model) to the Collazzone area, a cultivated area located in Umbria, central Italy, characterized by a high susceptibility to landslides, which is studied and periodically monitored through systematic image analysis and on-site surveys.
The method applied in this research included the comparison between landslides observed in situ and the spatial distribution of the probability of failure derived from the application of PG_TRIGRS model, which models the study area in a GIS grid and treats each cell as an infinite slope. More in detail, a heuristic approach was adopted: after a first run of the model with unbiased parameters, the slope stability analysis has been carried out assuming several percentages of reduction of the effective soil cohesion (c’) to mimic an increasing impact of agricultural practices on the strength conditions.
A back-analysis methodology, with the support of sensitivity indices, was adopted to provide a preliminary quantitative evaluation of the effect induced by agricultural practices on the mechanical properties of the soil. To test the reliability of the method, standard contingency matrix and skill scores were adopted and the best compromise between correct and incorrect model outcomes was obtained considering a reduction of c’ between 20% and 30%. 
In conclusion, we could estimate that in the analyzed area the agricultural practices can cause a 20 to 30% reduction in soil.

How to cite: Volpe, E., Gariano, S. L., Ardizzone, F., Fiorucci, F., and Salciarini, D.: A first attempt to evaluate the impact of agricultural practices on slope stability, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7424, https://doi.org/10.5194/egusphere-egu22-7424, 2022.

EGU22-8943 | Presentations | SSS7.6 | Highlight

Teaching and enriching younger generations perception of soil ecosystems and dryland restoration through soil biocrusts 

Nathali Machado de Lima and Miriam Munoz Rojas

Soils are connected to key ecosystems services such as biomass production, nutrients supplying and biodiversity conservation. Critical to human life and nature preservation, soil health, sustainable management, and restoration are central topics to achieve the Sustainable Development Goals proposed by the United Nations in 2015. Despite the active roles of the scientific community, land planners, and stakeholders for advancing science and developing applications to achieve global restoration goals, there is a lack of public perception in relation to the importance of soils and their roles in ecosystem conservation and restoration. For this reason, communicating these concepts to younger generations can be critical to promote actions for soil conservation and restoration in society. In this context, we used the concepts of soil biology and ecosystem functions, with a particular focus on soil biocrust communities, as the central topics for our laboratory’s contribution to The L’Oréal Girls in Science Forum (LGSF) 2018 and 2019. Biological crusts communities (also known as biocrusts) are not commonly known by the public but are extremely important for soil establishment, succession, nutrition, and control of abiotic stress.  The LGSF program encompasses a collaboration between L’Oréal Australia and the University of New South Wales, aiming to raise the profile of science as an attractive career option for them in the future. With a large number of young students attending this event, we took advantage of this opportunity to teach them about soil sustainability and highlight biocrusts’ structure and composition, as well as sensitiveness to anthropogenic disturbances, and their potential for land restoration. The presentation was divided into stations or stands, starting with a showcase of degraded lands in Australia due to mining activities, and subsequently introducing real biocrusts portions while underlining important functions, components, and structure. Lastly, we showed them ‘alive’ cyanobacterial communities, which are the primary colonizers of biocrusts, and can be applied combined with seed enhancement technologies to improve restoration. Seeds of endemic plants from Australia and bio primed with cyanobacteria were presented together with the contrast treatment (control), proving, and emphasizing the ability of cyanobacteria for producing plant growth hormones and contributing to revegetation. Finally, cyanobacteria-made pellets were exposed in Petri dishes together with pictures of regions successfully colonized after their introduction. The whole pedagogical experience was enriched with matching games, where the girls were able to recognize Australian endemic trees and main cyanobacteria related to soil structure and nutrition. This activity pointed to the importance of preserving soil biological communities in the context of land restoration, to ensure the provision of key ecosystems services provided by soils.

How to cite: Machado de Lima, N. and Munoz Rojas, M.: Teaching and enriching younger generations perception of soil ecosystems and dryland restoration through soil biocrusts, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8943, https://doi.org/10.5194/egusphere-egu22-8943, 2022.

EGU22-9005 | Presentations | SSS7.6

Native soil bacteria and biocrust cyanobacteria inoculation improve seedling emergence of native plants on saline dryland soils 

Frederick Dadzie, Nathali Machado de Lima, and Miriam Muñoz- Rojas

Soil salinity can result in osmotic and ionic stresses that critically impede seedling emergence, especially in drylands. Novel microbial-based technologies are emerging in the context of ecosystem restoration as a promising strategy to improve seedling establishment in saline environments. However, with recent concerns and the potential adverse impact of the use of exogenous microorganisms as bio-inoculants, much work is needed to develop groups of native microorganisms that can overcome soil salinity stress during restoration. In this study, we tested the effect of bio-inoculants individually composed of halophilic bacteria, biocrust cyanobacteria, and a consortium combination of both, on improving seedling emergence in soils with three salinity levels (low, moderate, and high salinity). Seedling emergence was assessed in four Australian native plants, Triodia epactia, Triodia pungens, Acacia ampliceps and Canavalia rosea, all inoculated with each of the inoculants and a control treatment without microbial inoculation. Our results showed that the highest seedling emergence was recorded in soils with low salinity, followed by moderate salinity soil and high salinity soil. Both Triodia spp. were severely impacted by salinity with very low emergence in all soil types. Acacia sp. emergence was higher when inoculated with halophilic bacteria in low and moderate salinity soils while Canavalia sp. emergence was higher under cyanobacteria inoculation in moderate salinity soils. Overall, our study shows that individual inoculation of halophilic bacteria and cyanobacteria improves the emergence of Acacia sp. and Canavalia sp. seedlings in low and moderate saline soils, while seedling emergence in high salinity soils can only be enhanced when using the combined consortia composed of halophiles and cyanobacteria. The analyses of the soil bacterial community composition by 16S rRNA gene amplicon sequencing showed that the inoculants did not negatively affect the resident bacterial soil communities. In conclusion, poor seedling emergence from salinity stress during the restoration of some plant species can be ameliorated with the inoculation of native halophilic bacteria and cyanobacteria. Grass species such as Triodia might need additional treatments to overcome salinity stress.

How to cite: Dadzie, F., Machado de Lima, N., and Muñoz- Rojas, M.: Native soil bacteria and biocrust cyanobacteria inoculation improve seedling emergence of native plants on saline dryland soils, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9005, https://doi.org/10.5194/egusphere-egu22-9005, 2022.

EGU22-9787 | Presentations | SSS7.6

Manure and crop rotation affect water retention under dry conditions in long term experiments 

Emmanuel Arthur, Yuting Fu, Marcos Paradelo, and Lis Wollesen de Jonge

Crop rotation and manure application are agricultural practices that are regularly used to improve soil quality and crop yields, and long term experiments (LTEs) provide an excellent platform to assess their impact. There is a large volume of literature on the benefits of these practices on soil structure, organic matter contents, soil nutrient levels, and other soil chemical properties. There is, however, little to no information on the impact of manure application and crop rotation on water retention at low matric potentials (pF > 5.0; <−10 MPa) as occurs under dry conditions. The study utilizes LTEs (20 to 127 years) from Denmark, Sweden, Germany, Spain and the UK that includes manure application and various crop rotation sequences. The sites vary in soil texture, organic matter content, and manuring rates. We measured water vapour adsorption and desorption isotherms covering the range from −10 MPa to −465 MPa (pF 5.0 to 6.8) on soil samples from the LTEs. The presentation will discuss the interactive effect of soil texture, manure and crop rotation on the magnitude of water sorption, its hysteresis, and the specific surface area.

How to cite: Arthur, E., Fu, Y., Paradelo, M., and de Jonge, L. W.: Manure and crop rotation affect water retention under dry conditions in long term experiments, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9787, https://doi.org/10.5194/egusphere-egu22-9787, 2022.

EGU22-9817 | Presentations | SSS7.6

Land evaluation for olive growing after tobacco and its implication on soil erosion 

Federica Fiorucci, Roberto Mariotti, Saverio Pandolfi, Soraya Moussavi, Luciana Baldoni, and Mauro Rossi

Fruit and crop cultivation represents the main food source and produce important incomes in many countries worldwide but, in many cases, they can cause soil erosion and lead to extreme land degradation. Understanding and quantifying the impact of land use on soil erosion is essential to achieve sustainable land management. In Umbria region in Central Italy, olive and tobacco are two of the most profitable crops, spread on the slopes of mountains and hills or in the Tiber river valley, respectively. In particular, tobacco production, spread in the last decades along the plains and foothills of the northern part of the region, posed serious threats to the ecosystem, causing soil erosion and representing an alarming source of chemical pollution.

In this study, the environmental advantages of replacing tobacco crop with perennial olive groves were evaluated. For this purpose, a method is proposed, initially, to evaluate land suitability for olive cultivation based on machine learning methods and on a set of geomorphological and climatic variables, and then to evaluate the impact of land use conversion from arable crops to olive groves on soil erosion, using LANDPLANER model and considering different rainfall scenarios. LANDPLANER is able to estimate the effects of rainfall on the triggering of landslides and erosion processes and their competition on the slopes. Results show that such conversion is sustainable for more than 40% of the current tobacco production area and it may reduce soil erosion up to 50%. This study provides a framework that starting from a statistical model for land evaluation for new agricultural purposes, assesses the impact of land use change on soil erosion. It provides a method useful to promote a sustainable use of soil, taking into account also effects of agricultural changes effect on soil erosion and degradation.

How to cite: Fiorucci, F., Mariotti, R., Pandolfi, S., Moussavi, S., Baldoni, L., and Rossi, M.: Land evaluation for olive growing after tobacco and its implication on soil erosion, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9817, https://doi.org/10.5194/egusphere-egu22-9817, 2022.

EGU22-11137 | Presentations | SSS7.6

Natural processes useful tool in post mining site restoration. 

Martin Bartuška and Jan Frouz

This contribution explore role of natural processes in restoration of post mining sites, particularly as concern forest sites restoration.  Extensive metaanalysis of succession chronosequences, reveal that rate of woody vegetation cover recovery in post mining sites is quite fast in fact faster that that recovery of woody vegetation in abandoned filed.    However results from Czechia and Eastern USA show that site compaction associated with levelling and other site improvements substantially reduce spontaneous establishment of woody vegetation.  When ungraded rough and loose substrate is available, the biomass of sites reclaimed by planting is usually but not always higher 5-10 years after planting.  In older plots this difference decrease and succession sites may even show high biomass and faster woody production than reclaimed ones. Caron storage is lover that the most successful reclamation but is comparable to reclaimed sites planted by trees with similar CN ratio of the foliage. Spontaneous site may represent very suitable nursing sites for late succession woody species. Also recovery of otter ecosystem function such as water retention is similar. Several wind dispersal species dominate in site colonization, which vary in their colonization strategy which generate variation in site development depending of distance form source of diaspores. These research indicate that natural processes of passive restoration may be useful strategy to restore forest in post mining sites.

How to cite: Bartuška, M. and Frouz, J.: Natural processes useful tool in post mining site restoration., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11137, https://doi.org/10.5194/egusphere-egu22-11137, 2022.

EGU22-11151 | Presentations | SSS7.6

Reuse of dredged streambed sediments in agricultural fields: soil quality and weed risk assessment 

Smadar Tanner, yael Laor, Maor Matzrafi, and Roey Egozi

Many intensively cultivated areas suffer from soil losses, due to accelerated soil erosion processes, which eventually deposit in the stream channel. To prevent flood risks, the deposited sediments are routinely dredged from the streambed, and due to the lack of a cost-effective solution, piled upon the stream bank. Dredged sediments (DS) piles may disturb the ecological balance in the riparian habitat, serve as a reservoir for weed seeds and may enable the further establishment of invasive species. Studies have shown that DS tend to be richer in organic matter and plant nutrients compared to the adjacent local soil, thus DS might be used as amendments to agricultural fields. However, the seedbank in DS may contain harmful weed species that threaten farmers from applying this valuable soil. The main objective of the current study is to assess the quality of DS as an agronomic substrate and its potential risk for weed invasion and establishment in the agricultural environment in case of applying DS in agricultural fields. DS that were piled (0.6-1.2 m height) on the eastern bank of Nahalal stream (Jezre'el Valley, northern Israel) were sampled along the bank, from a section of 1 km in 10 transects at three depths (top, middle, bottom). The upper (0-20 cm) soil layer at the adjacent agricultural field (AF) was sampled in parallel to the DS transects and along the hillslope Catena. Soil properties analyses was conducted in order to assess the soil quality of DS compared with AF. The soil seedbank was recorded for DS and AF samples using a germination assay. Preliminary results shows that the quality of DS can fit agronomic requirements. However, a trend of increased species richness and seed density was observed in the DS compared with the AF samples. Future analysis will include the calculation of a soil quality index and a Weed Risk Factor in order to assess the potential risk of reusing DS in agricultural fields.  

How to cite: Tanner, S., Laor, Y., Matzrafi, M., and Egozi, R.: Reuse of dredged streambed sediments in agricultural fields: soil quality and weed risk assessment, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11151, https://doi.org/10.5194/egusphere-egu22-11151, 2022.

Wet deposition has been identified as a critical impactor for the modelling of 137Cs in the Fukushima Daiichi Nuclear power plant (FDNPP) accident. However, it is difficult to simulate due to the involvement of close interaction between various complicated meteorological and physical processes during the wet deposition process. The limitation of measurement of the in-cloud and below-cloud scavenging also contribute to the uncertainty in wet deposition modeling, leading to the great variation of 137Cs wet deposition parameterization. These variations can be amplified further by inaccurate meteorological input, making simulation of radionuclide transport sensitive to the choice of wet scavenging parameterization. Moreover, simulations can also be influenced by differences between radionuclide transport models, even if they adopt similar parameterization for wet scavenging. Although intensively investigated, wet deposition simulation is still subject to uncertainties of meteorological inputs and wet scavenging modeling, leading to biased 137Cs transport prediction.

To improve modeling of 137Cs transport, both in- and below-cloud wet scavenging schemes were integrated into the Weather Research and Forecasting-Chemistry (WRF-Chem) model, yielding online coupled modeling of meteorology and the two wet scavenging processes. Overall, 25 combinations of different in- and below-cloud scavenging schemes of 137Cs, covering most wet scavenging schemes reported in the literature, were integrated into WRF-Chem. Additionally, two microphysics schemes were compared to improve the simulation of precipitation. These 25 models and the ensemble mean of 9 representative models were systematically compared with a previous below-cloud-only WRF-Chem model, using the cumulative deposition and atmospheric concentrations of 137Cs measurements. The findings could elucidate the range of variation among these schemes both within and across the five in-cloud groups, reveal the behaviors and sensitivities of different schemes in different scenarios.

The results revealed that the Morrison's double moment cloud microphysics scheme improves the simulation of rainfall and deposition pattern. Furthermore, the integration of the in-cloud schemes in WRF-Chem substantially reduces the bias in the cumulative deposition simulation, especially in the Nakadori and Tochigi regions where light rain dominated. For atmospheric concentration of 137Cs, those models with in-cloud schemes that consider cloud parameters showed better and more stable performance, among which Hertel-Bakla performed best for atmospheric concentration and Roselle-Apsimon performed best for both deposition and atmospheric concentration. In contrast, the in-cloud schemes that rely solely on rain intensity were found sensitive to the meteorological conditions and showed varied performance in relation to the plume events examined. The analysis based on the spatial pattern shows that the Roselle scheme, which considers cloud liquid water content and depth, can achieve a more balanced allocation of 137Cs between the air and the ground in these two cases than that achieved by the empirical power function scheme Environ. The ensemble mean achieves satisfactory performance except for one plume event, but still outperforms most models. The range of variation of the 25 models covered most of the measurements, reflecting the reasonable capability of WRF-Chem for modeling 137Cs transport.

How to cite: Zhuang, S., Dong, X., and Fang, S.: Sensitivity analysis on the wet deposition parameterization for 137Cs transport modeling following the Fukushima Daiichi Nuclear Power Plant accident, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-177, https://doi.org/10.5194/egusphere-egu22-177, 2022.

The nuclear emergency response for accidental release around the nuclear power plant site (NPPs) requires a fast and accurate estimate of the influence caused by gaseous hazardous pollutants spreading, which is critical for and preventing protecting lives, creatures, and the environment. However, as usual, the NPPs is consist of dense buildings and multi-type terrain, e.g. river and mountain, which poses challenges to atmospheric dispersion calculation for response tasks. Micro-SWIFT SPRAY (MSS) comprises both the diagnostic wind model and the dispersion model, which enables the airflows and atmospheric dispersion simulation with the meteorological and other inputs. For a small-scale scenario, especially, the separate module for obstacles influence modeling provides the potential capability of precise atmospheric dispersion. But the error behavior of such a scenario around a nuclear power plant site with complex topography remains to be further demonstrated. In this study, MSS is comprehensively evaluated against a wind tunnel experiment with a 1:600 scale for the small-scale (3 km × 3km) atmospheric dispersion modeling. Tens of buildings located in this scenario of a NPPs surrounded by a mountain and river. The evaluations for diagnostic wind modeling include the speed, direction, and distribution of horizontal airflows and vertical profile of speed at a representative site. And for the concentration calculation, horizontal distribution, axis profile, and vertical profile at a representative site. The results demonstrate the MSS can reproduce fine airflows near the buildings but overestimate the wind speed. The maximum deviation of vertical speed is around 2.09 m/s at the representative site. The simulated plume of concentration reproduces the highest concentration place and matches the observations well. The axis profile of concentration is underestimated and the vertical profile displays an increasing deviation with the height increase. Compared with the observations, the FAC5 and FAC2 of concentration simulation reach 0.945 and 0.891 in the entire calculation domain, which convinces the performance of MSS in small-scale modeling.

How to cite: Dong, X., Zhuang, S., and Fang, S.: Micro-SWIFT SPRAY modeling of atmospheric dispersion around a nuclear power plant site with complex topography, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-190, https://doi.org/10.5194/egusphere-egu22-190, 2022.

EGU22-666 | Presentations | GI2.3

Dry deposition velocity of chlorine 36 on grassland 

Sourabie Deo, Didier Hebert, Lucilla Benedetti, Elsa Vitorge, Beatriz Lourino Cabana, Valery Guillou, and Denis Maro

Chlorine 36 (36Cl, T1/2 = 301,000 years) is a radionuclide with natural and anthropogenic origin that can be rejected accidentally during decommissioning of nuclear power plants or chronically during recycling of nuclear waste. Once emitted into the atmosphere, 36Cl (gas and particles) can be transferred to the soil and vegetal cover by dry and wet deposition. However, knowledge of these deposits is very scarce. Because of its relatively high mobility in the geosphere and its high bioavailability, 36Cl fate in the environment should be studied for environmental and human impact assessments. So, the objective of this work is to determine the dry deposition rates of chlorine 36 on grassland. Grass is studied, as it is a link in the human food chain via cow's milk.

In order to achieve this objective, a method for extracting the chlorine contained in plant leaves has been developed. This method consists in heating the dried and grounded plant sample in presence of sodium hydroxide. A temperature gradient up to 450°C allows the extraction to be carried out in two stages: (i) The chlorides with a strong affinity for alkaline environments are first extracted from the plant and preserved in sodium hydroxide; (ii) The organic matter is then destroyed by combustion and the sodium hydroxide crystallised. Brought out from the oven, the dry residue is dissolved in ultrapure water and chemically prepared for the measurement of chlorine 36. This extraction method was validated by its application to NIST standards of peach and apple leaves. The average extraction efficiency of chlorides was 83 ± 3%.

For the determination of dry deposition rates, 1m2 of grass was exposed every 2 weeks at the IRSN La Hague technical platform (PTILH) located 2 km downwind from Orano la Hague, a chronic source of low-level chlorine 36 emissions. A mobile shelter with automatic humidity detection covered the grass during rainy episodes. In proximity to the grass, atmospheric chlorine was also sampled at the same frequency as the grass. Gaseous chlorine was sampled by bubbling in sodium hydroxide and by an AS3000 sampler containing activated carbon cartridge. Particulate chlorine was collected on a composite (teflon and glass fibre) filter. Chlorine 36 was measured by accelerated mass spectrometry ASTER (Accelerator for Earth Sciences, Environment and Risks) at CEREGE, Aix-en-Provence, France. All samples were subjected to a succession of chemical preparations in order to remove the sulphur 36 (an isobaric interferent) and to collect the chlorides in the form of AgCl pastilles. The results show a chlorine 36 deposition flux on the grass of 2.94.102 at/m2.s with a deposition velocity in dry weather vd(gas+particles) = 8.10-4 m/s for a contribution of 65.5% of particulate chlorine 36 and 34.5% of gaseous chlorine 36. Based on these experimental results, a modelling of the dry and wet deposits will be carried out considering the parameters related to the canopy and the atmospheric turbulence.

How to cite: Deo, S., Hebert, D., Benedetti, L., Vitorge, E., Lourino Cabana, B., Guillou, V., and Maro, D.: Dry deposition velocity of chlorine 36 on grassland, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-666, https://doi.org/10.5194/egusphere-egu22-666, 2022.

EGU22-1235 | Presentations | GI2.3

Modeling the depth dependence of Cs-137 concentration in Lake Onuma 

Yuko Hatano, Kentaro Akasaki, Eiichi Suetomi, Yukiko Okada, Kyuma Suzuki, and Shun Watanabe

Lake Onuma on Mt. Akagi (Gunma Prefecture, Japan) is a closed lake with an average water residence time of 2.3 years. The activity concentration of radioactive cesium in the lake was high shortly after the Fukushima accident. According to Suzuki et al. [1] and Watanabe [2], after a filtration process, Cs-137 are separated into two groups: particulate form and dissolved form. These two forms appears to have very different concentration profiles with each other,  when the Cs-137 concentration plotted against the sampled water depths. In the present study, we are going to model those behavior of particulate/dissolved forms with an emphasis on the depth dependency.

We consider a creation-annihilation process of plankton for the model of the particulate form, since diatom shells are found to be a major constituent of the particulate Cs-137 [2]. We set  ∂P/∂t = f(x,t)  and  f(x,t) = χ(x) cos(ωt) (0 ≤ x ≤ L(water column height), t > 0),  where P=P(x,t) is the activity concentration of the particulate form. The term f(x,t) is the rate of the net production of the plankton at a specific location x at a specific time t. Seasonal cycle is also taken into account by the cosine function (we neglect the phase shift here). The function χ(x), depends solely on water depth x, is responsible for dynamics or inhomogeneity of lake water, such as circulation, stratification or a thermocline. We assume that such a water structure relates to the production rate of plankton through the function χ(x). Thus, we may obtain the concentration of particulate Cs-137. For the dissolved concentration S(x,t), we use the classical diffusion equation with the diffusivity K being dependent on both space and time (i.e. K(x,t)), namely ∂S/∂t =  ∇•(K(x,t) ∇S). Here S=S(x,t) is the activity concentration of the dissolved form. The total activity concentration C(x,t) is the sum of P(x,t) and S(x,t). Using the pair of the equations, we can reproduce the followings. (1) depth profiles of each of the soluble- and particulate activity concentration and (2) depth profiles of the total Cs-137 concentration.

 [1] Suzuki, K. et al., Sci. Tot. Env. (2018)

 [2] Watanabe, S. et al.,  Proc. 20th Workshop on Environmental Radioactivity (2019)

How to cite: Hatano, Y., Akasaki, K., Suetomi, E., Okada, Y., Suzuki, K., and Watanabe, S.: Modeling the depth dependence of Cs-137 concentration in Lake Onuma, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1235, https://doi.org/10.5194/egusphere-egu22-1235, 2022.

EGU22-3340 | Presentations | GI2.3

Factors controlling the dissolved 137Cs seasonal fluctuations in the Abukuma River under the influence of the Fukushima Nuclear Power Plant accident 

Yasunori Igarashi, Nanb Kenji, Toshihiro Wada, Yoshifumi Wakiyama, Yuichi Onda, and Shota Moritaka

The 2011 Fukushima Daiichi Nuclear Power Plant (FDNPP) accident released large amounts of radioactive materials into the environment. River systems play an important role in the terrestrial redistribution of FDNPP-derived 137Cs in association with water and sediment movement. We examined the seasonal fluctuations in dissolved and particulate 137Cs activity concentrations and clarified the biological and physicochemical factors controlling 137Cs in the Abukuma River’s middle course in the region affected by the FDNPP accident. The results showed the water temperature and K+ concentration dominated the seasonality of the dissolved 137Cs activity concentration. We concluded that the 137Cs in organic matter is not a source of dissolved 137Cs in river water. The study also revealed the temperature dependence of Kd in riverine environments from a Van ’t Hoff equation. The standard reaction enthalpy of 137Cs in the Abukuma River was calculated to be approximately −19.3 kJ/mol. This was the first study to clearly reveal the mechanisms by which the dissolved 137Cs activity concentration and Kd are influenced by chemical and thermodynamic processes in the middle course of a large river, and it is expected to lead to an improved model of 137Cs dynamics in rivers.

How to cite: Igarashi, Y., Kenji, N., Wada, T., Wakiyama, Y., Onda, Y., and Moritaka, S.: Factors controlling the dissolved 137Cs seasonal fluctuations in the Abukuma River under the influence of the Fukushima Nuclear Power Plant accident, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3340, https://doi.org/10.5194/egusphere-egu22-3340, 2022.

EGU22-3442 | Presentations | GI2.3

A comparative study of riverine 137Cs dynamics during high-flow events at three contaminated river catchments in Fukushima 

Yoshifumi Wakiyama, Takuya Niida, Hyoe Takata, Keisuke Taniguchi, Honoka Kurosawa, Kazuki Fujita, and Alexei Konoplev

This study presents the temporal variations in riverine 137Cs concentrations and fluxes to the ocean during high-flow events in three coastal river catchments contaminated by the Fukushima Daiichi Nuclear Power Plant accident. River water samples were collected at points downstream in the Niida, Ukedo, and Takase Rivers during three high-flow events that occurred in 2019–2020. Variations in both the dissolved 137Cs concentration and 137Cs concentration in suspended solids appeared to reflect the spatial pattern of the 137Cs inventory in the catchments, rather than variations in physico-chemical properties. Negative relationships between the 137Cs concentration and δ15N in suspended sediment were found in all rivers during the intense rainfall events, suggesting an increased contribution of sediment from forested areas to the elevated 137Cs concentration. The 137Cs flux ranged from 0.33 to 18 GBq, depending on the rainfall erosivity. The particulate 137Cs fluxes from the Ukedo River were relatively low compared with the other two rivers and were attributed to the effect of the Ogaki Dam reservoir upstream. The ratio of 137Cs desorbed in seawater to 137Cs in suspended solids ranged from 2.8% to 6.6% and tended to be higher with a higher fraction of exchangeable 137Cs. The estimated potential release of 137Cs from suspended solids to the ocean was 0.048–0.57 GBq, or 0.8–6.2 times higher than the direct flux of dissolved 137Cs from the river. Episodic sampling during high-flow events demonstrated that the particulate 137Cs flux depends on catchment characteristics and controls 137Cs transfer to the ocean. 

How to cite: Wakiyama, Y., Niida, T., Takata, H., Taniguchi, K., Kurosawa, H., Fujita, K., and Konoplev, A.: A comparative study of riverine 137Cs dynamics during high-flow events at three contaminated river catchments in Fukushima, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3442, https://doi.org/10.5194/egusphere-egu22-3442, 2022.

EGU22-5397 | Presentations | GI2.3

Integrating measurement representativeness and release temporal variability to improve the Fukushima-Daiichi 137Cs source reconstruction 

Joffrey Dumont Le Brazidec, Marc Bocquet, Olivier Saunier, and Yelva Roustan

    The Fukushima-Daiichi accident involved massive and complex releases of radionuclides in the atmosphere. The releases assessment is a key issue and can be achieved by advanced inverse modelling techniques combined with a relevant dataset of measurements. A Bayesian inversion is particularly suitable to deal with this case. Indeed, it allows for rigorous statistical modelling and enables easy incorporation of informations of different natures into the reconstruction of the source and the associated uncertainties.
    We propose several methods to better quantify the Fukushima-Daiichi 137Cs source and the associated uncertainties. Firstly, we implement the Reversible-Jump MCMC algorithm, a sampling technique able to reconstruct the distributions of the 137Cs source magnitude together with its temporal discretisation. Secondly, we develop methods to (i) mix both air concentration and deposition measurements, and to (ii) take into account the spatial and temporal information from the air concentration measurements in the error covariance matrix determination.
    Using these methods, we obtain distributions of hourly 137Cs release rates from 11 to 24 March and assess the performance of our techniques by carrying out a model-to-data comparison. Furthermore, we demonstrate that this comparison is very sensitive to the statistical modelling of the inverse problem.

How to cite: Dumont Le Brazidec, J., Bocquet, M., Saunier, O., and Roustan, Y.: Integrating measurement representativeness and release temporal variability to improve the Fukushima-Daiichi 137Cs source reconstruction, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5397, https://doi.org/10.5194/egusphere-egu22-5397, 2022.

EGU22-6698 | Presentations | GI2.3

Vertical distribution of 137Cs in bottom sediments as representing the time changes of water contamination: Chernobyl and Fukushima 

Aleksei Konoplev, Yoshifumi Wakiyama, Toshihiro Wada, Yasunori Igarashi, Gennady Laptev, Valentin Golosov, Maxim Ivanov, Mikhail Komissarov, and Kenji Nanba

Bottom sediments of lakes and dam reservoirs can provide an insight into understanding the dynamics of 137Cs strongly bound to sediment particles. On this premise, a number of cores of bottom sediments were collected in deep parts of lakes Glubokoe, Azbuchin, and Cooling Pond in close vicinity of the Chernobyl NPP in Ukraine, in Schekino reservoir (Upa River) in the Tula region of Russia (2018) and in Ogaki reservoir (Ukedo River) in Fukushima contaminated area (2019). Each layer of bottom sediments can be attributed to a certain time of suspended particles sedimentation. With 137Cs activity concentration in a given layer of bottom sediments corresponding to 137Cs concentration on suspended matter at that point in time, we were able to reconstruct the post-accidental dynamics of particulate 137Cs activity concentrations. Using experimental values of the distribution coefficient Kd, changes in the dissolved 137Cs activity concentrations were estimated. The annual mean particulate and dissolved 137Cs wash-off ratios were also calculated for the period after the accidents. Interestingly, the particulate 137Cs wash-off ratios for the Ukedo River at Ogaki dam were found to be similar to those for the Pripyat River at Chernobyl in the same time period after the accident, while the dissolved 137Cs wash-off ratios in the Ukedo River were an order of magnitude lower than the corresponding values in the Pripyat River. The estimates of particulate and dissolved 137Cs concentrations in Chernobyl cases were in reasonable agreement with monitoring data and predictions using the semi-empirical diffusional model. However, both the particulate and dissolved 137Cs activity concentrations and wash-off ratios in the Ukedo River declined faster during the first eight years after the FDNPP accident than predicted by the diffusional model, most likely, due to greater natural attenuation and, to some extent, remediation measures implemented on the catchments in Fukushima.

This research was supported by Science and Technology Research Partnership for Sustainable Development (SATREPS), Japan Science and Technology Agency (JST)/Japan International Cooperation Agency (JICA) (JPMJSA1603), by bilateral project No. 18-55-50002 of Russian Foundation for Basic Research (RFBR) and Japan Society for the Promotion of Science (JSPS), and JSPS Project KAKENHI (B) 18H03389.

How to cite: Konoplev, A., Wakiyama, Y., Wada, T., Igarashi, Y., Laptev, G., Golosov, V., Ivanov, M., Komissarov, M., and Nanba, K.: Vertical distribution of 137Cs in bottom sediments as representing the time changes of water contamination: Chernobyl and Fukushima, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6698, https://doi.org/10.5194/egusphere-egu22-6698, 2022.

EGU22-7068 | Presentations | GI2.3

Seasonal variation of dissolved Cs-137 concentrations in headwater catchments in Yamakiya district, Fukushima Prefecture 

Taichi Kawano, Yuichi Onda, Junko Takahishi, Fumiaki Makino, and Sho Iwagami

The Fukushima Daiichi Nuclear Power Plant (FDNPP) accident occurred on March 11, 2011, and a large amount of Cs-137 was released into the environment. It is important to clarify the behavior of radioactive cesium-137 in headwater catchments because most of the Cs-137 falls and is deposited in forest areas and is transported in the environment through river systems.

The purpose of this study was to clarify the influence of water quality composition and organic matter on the seasonal variation of dissolved Cs-137 concentrations in stream water based on long-term monitoring since 2011 at four headwaters catchments in Yamakiya district, Fukushima Prefecture (Iboishiyama, Ishidairayama, Koutaishiyama, Setohachiyama), located about 35 km northwest of FDNPP.

Water temperature, pH, and EC were measured in the field, and SS and coarse organic matter were collected using a time-integrated SS (suspended sediments) sampler and organic matter net. The Cs-137 concentrations was measured in the laboratory using a germanium detector. Concentrations of cations (Na⁺,K⁺,Ca²⁺,Mg²⁺,NH₄⁺) and anions (Cl⁻,SO₄²⁻,NO₃⁻,NO₂⁻,PO₄²⁻) were measured by ion chromatography after 0.45μm filtration. In addition, dissolved organic carbon (DOC) concentrations was measured using a total organic carbon analyzer.

The results showed that K⁺, which is highly competitive with Cs-137, was detected at Iboisiyama, Ishidairayama, and Koutaishiyama, while NH₄⁺ was only detected in some samples at Iboishiyama. There was no obvious relationship between dissolved ion concentration and water temperature, and between dissolved ion concentration and dissolved ¹³⁷Cs concentration at all sites. However, a positive correlation between dissolved cesium concentration and water temperature and DOC and water temperature was observed at all sites regardless of the presence of K⁺ and NH₄⁺. On the other hand, there was no clear relationship between the cesium concentrations in SS and organic matter and water temperature. These results suggest that the seasonal variation in dissolved Cs-137 concentrations in stream water with water temperature could be caused by the seasonality of microbial decomposition of organic matter.

How to cite: Kawano, T., Onda, Y., Takahishi, J., Makino, F., and Iwagami, S.: Seasonal variation of dissolved Cs-137 concentrations in headwater catchments in Yamakiya district, Fukushima Prefecture, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7068, https://doi.org/10.5194/egusphere-egu22-7068, 2022.

A study of 137Cs distribution in a landscape cross-section characterizing the ELGS system (top-slope-closing depression) in the “Vyshkov-2” test site located in the Chernobyl abandoned zone, the Bryansk region, Russia, has been performed in 2015 and 2021. The test site (70×100 m) is located on the Iput’ river terrace in a pine forest characterized by the undisturbed soil-plant cover. Sod-podzolic sandy illuvial-ferruginous soils present the soil cover. The initial level of 137Cs contamination of the area varied from 1480 kBq/m2 to 1850 kBq/m2. Up to now, 89-99 % of the total 137Cs is fixed in the upper 20 cm soil layer with 70-96 % in the upper 8 cm. It allows field spectrometry data to study the structure of the 137Cs contamination field. The 137Cs activity was measured in the soil and moss cover along cross-sections with 1 m step by adapted gamma-spectrometer Violinist-III (USA). Cs-137 content in the soil cores’ and plant samples was determined in the laboratory by Canberra gamma-spectrometer with HPGe detector. It was shown that there is no unidirectional movement of 137Cs both in the soil and in the vegetation cover of the ELGS from the top to the closing depression. On the contrary, the data obtained allow us to state a pronounced cyclical variation of the 137Cs activity in ELGS, which can be traced in the soil and the vegetation. The variation appeared to be rather stable in space 29 and 35 years after the primary pollution. Cyclic fluctuation (variation) of 137Cs activity was described mathematically using Fourier-analysis, which was used to model the observed changes by the revealed three main harmonics. High and significant correlation coefficients obtained between the variation of 137Cs activity and the model for the soil-vegetation cover (r0,01= 0,868; n=17 - 2015; r0,01= 0,675; n=17 - 2021), soils (r0,01= 0,503-0,859; n=17) and moss samples (r0,01= 0,883; n=17 - 2015; r0,01= 0,678; n=17 - 2021) proved satisfactory fitting of models. The character of 137Cs variability in moss cover was generally similar to surface soil contamination, but the level of contamination and amplitude was specific.

The performed study confirmed specific features of 137Cs secondary migration in ELGS, which periodic functions describe. We infer that the observed cyclicity reflects elements’ migration in the ELGS system with water.

The reported study was funded by the Vernadsky Institute federal budget (research task #0137-2019-0006). The field works were supported partly by RFBR No 19-05-00816.

How to cite: Dolgushin, D. and Korobova, E.: Regularities of the 137Cs secondary distribution in the soil-moss cover of elementary landscape-geochemical systems and its dynamics within 6 years on the test site in the Chernobyl abandoned zone, Russia, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8178, https://doi.org/10.5194/egusphere-egu22-8178, 2022.

EGU22-9022 | Presentations | GI2.3

Ten-year long-range transport of radiocaesium in the surface layer in the Pacific Ocean and its marginal seas 

Michio Aoyama, Yuichiro Kumamoto, and Yayoi Inomata

Radiocaesium derived from the Fukushima Dai-ichi Nuclear Power Plant (FNPP1) accident was observed across a wide area of the North Pacific, not only in surface seawater, but also in the ocean interior. In this presentation, we summarized the time scale of Lagrangian transport of the FNPP1 derived radiocaesium in surface water during the period from the time of the accident to March 2021 in the North Pacific and the Arctic Oceans and its marginal seas as shown below.

Initial observation results until December 2012 in the surface layer in the North Pacific Ocean by the global observations revealed that a typical feature within one year after the accident was a westward movement across the North Pacific Ocean, speed of which was reported at 7 km day-1 until August 2011. After that, the main body of FNPP1-derived radiocaesium moved east as 3 km day-1 and is separated from Japan in 2013. The arrival of the FNPP1 signal at the west coast of the American continent was reported in 2014. The elevation in the FNPP1 derived radiocaesium concentration in the Bering Sea in 2017 and in the Arctic Ocean in 2019 was reported. The northward bifurcation of the Kuroshio Extension made these obvious transport of the FNPP1 derived radiocaesium to the subarctic and arctic region while the transport by southward bifurcation was not observed. At Hawaii Islands in the subtropical gyre, there was no signal of the FNPP1 derived radiocaesium during the period from March 2011 and February 2017. At Yonaguni Island where the Kuroshio enters the East China Sea, the FNPP1 signal arrived at Yonaguni Islands eight years after the time of the accident, and these might be transported mainly from the subtropical gyre.

At the marginal seas of the North Pacific Ocean, the elevation in the FNPP1 derived radiocaesium concentration in the northern East China Sea in 2014, in the Sea of Japan in 2014/2015 were observed.

We also briefly summarize study results on nuclides other than radiocaesium (e.g., 90Sr, 239240Pu, and 129I).

How to cite: Aoyama, M., Kumamoto, Y., and Inomata, Y.: Ten-year long-range transport of radiocaesium in the surface layer in the Pacific Ocean and its marginal seas, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9022, https://doi.org/10.5194/egusphere-egu22-9022, 2022.

Radiocesium (137Cs) was one of the radioactive materials released from the Fukushima Dai-ichi Nuclear Power Plant (FDNPP) accident in March 2011. Highly 137Cs contaminated water from groundwater to the sea was reduced after installation of the sea-side impermeable wall as a countermeasure against contaminated water in October 2015. As a result, 137Cs contamination in water from other sources became more prominent and the levels of 137Cs concentration in seawater was correlated with rainfall fluctuation. To determine the source of contamination, we estimated the fluctuation patterns of 137Cs concentration in seawater, groundwater level, and discharge from the channels using the Antecedent Precipitation Index (Rw) method.
The results indicated that the fluctuation in seawater collected near the 1-4 Units had strong agreement with the 3 day half-life of Rw. The half-life is shorter than that estimated by groundwater level (7 to 30 day). Therefore, the 137Cs concentration in seawater was influenced by relatively faster runoff than the deep groundwater flow. We also made the spatial distribution map of 137Cs concentration in seawater to determine the sources of contamination. It showed that the 137Cs contaminated area was the highest at “south- inside the intake of 1-4 Units” where the outlets of the K and BC discharge channels are located. In particular, the concentration of 137Cs in the channel K was found to correlate with the concentration of 137Cs in seawater near the 1-4 Units (average of R2 = 0.5). These results indicate that the concentration of 137Cs in seawater inside the FDNPP port can be estimated by the Rw method and that the source of the contamination could be determined using the half-life.

How to cite: Sato, H. and Onda, Y.: Determining sources of the 137Cs concentration in seawater at Fukushima Daiichi Nuclear Power Plant using Antecedent Precipitation Index, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9055, https://doi.org/10.5194/egusphere-egu22-9055, 2022.

European seas such as, Baltic, North, and Norwegian Seas are mostly affected areas by the accident at the Chernobyl nuclear power plant (CNPP) in 1986. Since Fukushima Daiichi nuclear power plant (FDNPP) is located on the coast of the North Pacific Ocean in east Japan, its accident resulted in the release of large amounts of radiocesium to the surrounding coastal marine environment (i.e. the waters off Fukushima and neighboring prefectures). The temporal change of radiocaesium concentration in seawater after both accidents was largely dependent on their submarine topography: The Baltic Sea is a semi-closed basin, while Norwegian and North Seas, and the waters off Fukushima and neighboring prefectures is directly connected to open-water. Although concentration of radioacesium (137Cs) in the surface water of the Baltic Sea (central part) continuously decreased, the values in 1996, ten years after the accident, were even higher than pre-accident level in 1985. On the other hand, in the waters off Fukushima and neighboring prefectures 137Cs concentrations in 2020, nine years after the accident, are approaching the pre-accident levels of 2010. The quick decrease is attributable to the intrusion or mixing of water masses with low 137Cs.

How to cite: Takata, H.: Temporal trends of radio-cesium concentration in the marine environment after the Chernobyl and Fukushima Dai-ichi Nuclear Power Plant accidents, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10644, https://doi.org/10.5194/egusphere-egu22-10644, 2022.

EGU22-10713 | Presentations | GI2.3 | Highlight

Decontamination and subsequent natural restoration processes impact on terrestrial systems in Niida River Catchment in Fukushima 

Yuichi Onda, Feng Bin, Yoshifumi Wakiyama, Keisuke Taniguchi, Asahi Hashimoto, and Yupan Zhang

For the Fukushima region in Japan, the large-scale decontamination in the catchments needed to require more attention because of their possible consequence in altering particulate Cs-137 flux from the terrestrial environment to the ocean. Here, combining the high-resolution satellite dataset and concurrent river monitoring results, we quantitively assess the impacts of land cover changes in large-area decontaminated regions on river suspended sediment (SS) and particulate Cs-137 dynamics during 2013-2018. We find that the decontaminated regions’ erodibility dramatically enhanced during the decontamination stage but rapidly declined in the subsequent natural-restoration stage. River SS dynamics show linear response to these land cover changes, where annual SS load (normalized by water discharge) at the end of decontamination increased by over 300% than pre-decontamination and decreased about 48% at the beginning of natural restoration. Fluctuations in particulate Cs-137 concentrations well reflect the process of sediment source alternation due to land cover changes in decontaminated regions. The “Fukushima decontamination experiment” can reveal the dramatic impact of decontamination-natural restoration processes, which highlights the need for quantitatively assessing human impacts on land use and resultant alternation in sediment transfer patterns in large scale catchments. 

How to cite: Onda, Y., Bin, F., Wakiyama, Y., Taniguchi, K., Hashimoto, A., and Zhang, Y.: Decontamination and subsequent natural restoration processes impact on terrestrial systems in Niida River Catchment in Fukushima, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10713, https://doi.org/10.5194/egusphere-egu22-10713, 2022.

EGU22-10817 | Presentations | GI2.3

Effects of stemflow on radiocesium infiltration into the forest soil 

Hiroaki Kato, Hikaru Iida, Tomoki Shinozuka, Yuma Niwano, and Yuichi Onda

Radiocesium deposited in the forest canopy is transferred to the forest floor by rainwater and litterfall. Among them, stemflow likely increases the radiocesium inventory by concentrating rainwater around the trunk. However, the effects of stemflow on the influx of radiocesium into forest soil have not been evaluated quantitatively. In this study, the fluxes of rainwater via stemflow, throughfall, and soil infiltration water were observed. The concentration of dissolved 137Cs was measured in a cedar forest in Fukushima Prefecture, Japan. Soil infiltration water was collected at 5 cm and 20 cm depths at the distant point from the tree trunk (Bt), and the base of the tree trunk (Rd), where the influence of stemflow was strong. The observations were conducted during the period from September 2019 to November 2021. During the observation period, an experiment was conducted to intercept the inflow of rainwater via the throughfall or stemflow, and the change in soil infiltration water was observed. The observation results showed that the infiltration flux of radiocesium into the forest soil was significantly higher at the Rd site and about three times larger than at the Bt site. Particularly at the 20 cm depth at the Rd site, the soil infiltration water flux increased with the stemflow. The stemflow exclusion resulted in the dcrease of radiocesium flux by about 70% at all depths at the Rd site. These results suggest that the stemflow increases the input of radiocesium to the base of the tree trunk and facilitates its transfer to the deeper soil layers.

How to cite: Kato, H., Iida, H., Shinozuka, T., Niwano, Y., and Onda, Y.: Effects of stemflow on radiocesium infiltration into the forest soil, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10817, https://doi.org/10.5194/egusphere-egu22-10817, 2022.

EGU22-11022 | Presentations | GI2.3

Estimation of 137Cs inventories in each ocean basin by a global ocean general circulation model for the global database interpolation 

Daisuke Tsumune, Frank Bryan, Keith Lindsay, Kazuhiro Misumi, Takaki Tsubono, and Michio Aoyama

Radioactive cesium (137Cs) is distributed in the global ocean due to global fallout by atmospheric nuclear weapons tests, releases from reprocessing plants in Europe, and supplied to the ocean by the Fukushima Daiichi Nuclear Power Plant (1F NPP) accident. In order to detect future contamination by radionuclides, it is necessary to understand the global distribution of radionuclides such as 137Cs. For this purpose, observed data have been summarized in a historical database (MARIS) by IAEA. The spatio-temporal density of the observations varies widely, therefore simulation by an ocean general circulation model (OGCM) can be helpful in the interpretation of these observations.

In order to clarify the behavior of 137Cs in the global ocean, OGSM simulations were conducted. Parallel Ocean Program version 2 (POP2) of the Community Earth System Model version 2 (CESM2) is employed. The horizontal resolution is 1.125 degree of longitude, and from 0.28 degree to 0.54 degree of latitude. There are 60 vertical levels with a minimum spacing of 10 m near the ocean surface, and increased spacing with depth to a maximum of 250 m. The simulated period was from 1945 to 2030 with the circulation forced by repeating (“Normal Year”) atmospheric conditions. As input sources of 137Cs to the model, global fallout from atmospheric nuclear tests, releases from reprocessing plants in Europe, and input from the 1F NPP accident were considered. It was assumed that the input conditions in 2020 would continue after 2020.

The simulated 137Cs activity agrees well with the observed data in the database, especially in the Atlantic and Pacific Oceans where the observation density is large. Since 137Cs undergoes radioactive decay with a half-life of 30 years, the inventory for each basin is the difference between the decay corrected cumulative input and flux. In the North Pacific, the inventory reached its maximum in 1966 due to the global fallout by atmospheric nuclear weapons tests. Fluxes from the North Pacific to the Indian Ocean, Arctic Ocean, and Central Pacific were positive, and the North Pacific was a source of supply for other ocean basins. The 1F NPP accident caused a 20% increase in the inventory in 2011. In the North Atlantic, the inventory reaches its maximum in the late 1970s, due to the releases from the reprocessing plant. The outflow flux from the North Atlantic to the Greenland Sea is larger than the other fluxes and is a source of supply to other ocean basins. After 2000, the inflow flux to the North Pacific from the Labrador Sea and the South Atlantic is larger than the outflow flux.

The time series of 137Cs inventory in each ocean basin and the fluxes among ocean basins were quantitatively analyzed by OGCM simulations, and the predictions for the next 10 years were made.  The 137Cs activity concentrations by global fallout can be detected in the global ocean after 2030. The OGCM simulations will be useful in planning future observations to fill the gaps in the database.

How to cite: Tsumune, D., Bryan, F., Lindsay, K., Misumi, K., Tsubono, T., and Aoyama, M.: Estimation of 137Cs inventories in each ocean basin by a global ocean general circulation model for the global database interpolation, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11022, https://doi.org/10.5194/egusphere-egu22-11022, 2022.

EGU22-11502 | Presentations | GI2.3

Retrospective assessment of 14C aquatic and atmospheric releases from Ignalina Nuclear Power Plant due to exploitation of two RBMK-1500 type reactors 

Evaldas Maceika, Rūta Barisevičiūtė, Laurynas Juodis, Algirdas Pabedinskas, Žilvinas Ežerinskis, Justina Šapolaitė, Laurynas Butkus, and Vidmantas Remeikis

Considerable amounts of 14C in the nuclear reactor are generated by neutrons. It accumulates in reactor components, coolant, and cleaning systems, and partly is released into the environment as gaseous releases and as liquid effluents. Two RBMK-1500 type reactors were exploited at Ignalina NPP (Lithuania) 1983-2009. Releases from NPP radiocarbon accumulated in local biosphere by photosynthesis, including terrestrial and aquatic media, as INPP used Lake Drūkšiai as a cooling pond

Temporal variation of 14C in lake ecosystem was examined by analyzing measured radiocarbon concentration of the organic compounds (Alkali soluble-AS) and alkali insoluble-AIS) derived from the layers of the Drūkšiai lake bottom sediments. The lake sediment cores were sampled in 2013 and 2019, sliced to 1 cm layers and 14C concentration was measured of every layer. AS and AIS organic fractions of sediment samples were extracted by using the acid-base-acid method.

Tree ring cores were collected from Pinus Sylvestris pines around the Ignalina NPP site at different directions and distances. Cellulose extraction was performed with BABAB (base-acid-base-acid-bleach) procedure, and all samples were graphitized and measured by a single state accelerator mass spectrometry at Vilnius Radiocarbon facility. Tree rings 14C concentration analysis provides atmospheric radiocarbon concentration in locations around the nuclear object. This analysis provides an opportunity to evaluate the impact of a nuclear object on water and terrestrial ecosystems.

The results showed a pronounced increase of 14C above background up to 17.8 pMC in the tree rings during INPP exploitation as well during decommission (since 2010) periods. According to the recorded data in 2004-2017 of the local Ignalina NPP meteorological station, the prevailing wind direction was towards the North and East during warm and light time periods. The radiocarbon released from the INPP stack dilutes when it travels in a downwind direction from the INPP. However, even 6.6 km away from the INPP, the impact of the power plant is still clearly visible. By using our created Gaussian dispersion model, the estimated annual emissions of 14C activity from the Ignalina NPP to the air vary from year to year. When only the 1st INPP reactor Unit was operating in 1985-1987, average emissions were 1.2 TBq/year. Emissions almost doubled to 2.1 TBq/year in 1988, when the 2nd Unit became operational. Later, emission levels increased. It could be explained by the large amount of 14C accumulating in the graphite of the RBMK reactor and its gradual release.

14C concentration profile analysis of the lake bottom sediments core revealed a significant impact of the Ignalina NPP on the Drūkšiai lake ecosystem. An increase of 14C concentration in the layers of bottom sediments by 80 pMC in the AS fraction and only by 9 pMC in the AIS fraction was observed, corresponding to the period about years of 1998-2003. The maximum peak in AS of 189 pMC was reached approximately in 2001, followed by gradual lake recovery. This radiocarbon peak in the lake represents a large single one-time pollution release. The critical period was in 2000s when maintenance works of the reactors were performed.

How to cite: Maceika, E., Barisevičiūtė, R., Juodis, L., Pabedinskas, A., Ežerinskis, Ž., Šapolaitė, J., Butkus, L., and Remeikis, V.: Retrospective assessment of 14C aquatic and atmospheric releases from Ignalina Nuclear Power Plant due to exploitation of two RBMK-1500 type reactors, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11502, https://doi.org/10.5194/egusphere-egu22-11502, 2022.

EGU22-11571 | Presentations | GI2.3

Mapping of Post-Disaster Environments using 3D Backprojection and Iterative Inversion Methods Optimised for Limited-Pixel Gamma Spectrometers on Unoccupied Aerial Systems (UAS). 

Dean Connor, David Megson-Smith, Kieran Wood, Robbie Mackenzie, Euan Connolly, Sam White, Freddie Russell-Pavier, Matthew Ryan-Tucker, Peter Martin, Yannick Verbelen, Thomas Richardson, Nick Smith, and Thomas Scott

All radiological measurements acquired from airborne detectors suffer from the issues of geometrical signal dilution, signal attenuation and a complex interaction of the effective sampling area of the detector system with the 3D structure of the surrounding environment. Understanding and accounting for these variables is essential in recovering accurate dose rate maps that can help protect responding workforces in radiologically contaminated environments.

Two types of terrain-cognisant methods of improving source localisation and the contrast of airborne radiation maps are presented in this work, comprising of ‘Point Cloud Constrained 3D Backprojection’ and ‘Point Cloud Constrained Randomised Kaczmarz Inversion’. Each algorithm uses a combination of airborne gamma-spectrometry and 3D scene information collected by UAS platforms and have been applied to data collected with lightweight, simple (non-imaging) detector payloads at numerous locations across the Chornobyl Exclusion Zone (CEZ).

Common to both the algorithms is the projection of the photopeak intensity onto a point cloud representation of the environment, taking into account the position and orientation of the UAS in addition to the 3D response of the spectrometer. The 3D Backprojection method can be considered a relatively fast method of mapping of through proximity, in which the measured photopeak intensity is split over the point cloud according to the above factors. It is an additive technique, with each measurement increasing the overall magnitude of the radiation field assigned to the survey area, meaning that more measurements continues to increase the total radiation of the site. The total measured intensity of the solution is then normalised according to the time spent in proximity to each point in the scene, determined by splitting and projecting the nominal measurement time at each survey point over the point cloud according to the distance from the survey position. Thus accounting for sampling biases during the survey.

The inversion approach adapts algorithms routinely used in medical imaging for the unconstrained world in which the detector is no longer completely surrounding the subject/target. A forward projection model, based on the contribution of distant point sources to the detector intensity, is used to determine the relationship between the full set of measurements and the 3D scene. This results in a hypercube of linear equations where it is assumed every point in the scene contributes to the measured intensity. The algorithm randomly adds measurements from within the aerial set and back-projects this onto the point cloud, with the initial state of the solution set to emit no radiation. After a given number of iterations, the fit of the current solution to the original measurements is assessed though a least squares method and updated when this produces a fit better than the current best estimate. This continues to happen until a minimum value is reached before the divergence of the system, representing the most confident solution. Based on examples from both simulations and real world data, the improvement in contrast of airborne maps using this inversion method can make them equivalent to ground-based surveys, even when operating at 20 m AGL and above.

How to cite: Connor, D., Megson-Smith, D., Wood, K., Mackenzie, R., Connolly, E., White, S., Russell-Pavier, F., Ryan-Tucker, M., Martin, P., Verbelen, Y., Richardson, T., Smith, N., and Scott, T.: Mapping of Post-Disaster Environments using 3D Backprojection and Iterative Inversion Methods Optimised for Limited-Pixel Gamma Spectrometers on Unoccupied Aerial Systems (UAS)., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11571, https://doi.org/10.5194/egusphere-egu22-11571, 2022.

EGU22-11620 | Presentations | GI2.3

Methodology for estimating the emission of radionuclides into the atmosphere from wildfires in the Chernobyl Exclusion Zone 

Valentyn Protsak, Gennady Laptev, Oleg Voitsekhovych, Taras Hinchuk, and Kyrylo Korychenskyi

Most of the territory of the Chernobyl Exclusion Zone (CEZ) is covered by forest. Forest of CEZ have accumulated a significant part of the radioactive release and for many years have served as a barrier to the non spreading of the radionuclide contamination outside the CEZ.

According to the classification of wildfire danger, the forests of CEZ belong to high, above average and medium classes, making cases of wildfires as quite common.

Poor, sod-podzolic soils of Ukrainian Polesye contribute to the entry the activity of 90Sr and 137Cs in plant biomass. During wildfires some of the radionuclides contained in combustion products of biomass are emitted into the atmosphere. Biologically important radionuclides such as 90Sr, 137Cs, plutonium isotopes and 241Am bound to fine aerosols - combustion products - can be transported with atmospheric flows over the long range, causing secondary radioactive fallout and forming additional inhalation dose loads on the population.

Lack of the actual information on the source term (rate of emission of radionuclides) does not allow reliable modeling of the radiological impact of wildfires. To address this issue, we have proposed a methodology that allows for operational assessments of the dynamics of radionuclide emissions into the atmosphere from wildfires in the CEZ.

The basic parameters for the calculations are

  • cartographic data on the density of radionuclide contamination of the territory of the CEZ;
  • classification of the territory of the CEZ according to the distributive features of forests and meadows;
  • classification of CEZ forests according to taxa characteristics to estimate amount of stored fuel biomass (kg/m2);
  • experimental data on the transfer of radionuclides from soil to the main components of biomass for the calculation of radionuclide inventory in fuel biomass (Bq/m2). Thus, for meadows the main fuel component is grass turf, while for forest these are litter, wood, bark and pine needles.
  • experimental data on emission factors of radionuclides from fuel biomass.

Implementation of the proposed algorithm in the form of GIS application makes it possible to assess the dynamics of radionuclide emission into the atmosphere by delineation the fire areas on the CEZ map. The NASA WorldView interactive mapping web application can be used to estimate the temporal and spatial characteristics of the wildfire while it is being developed. The contouring of the area affected by fire is carried out according to the analysis of the cluster of thermal points. Also, operational contouring of wildfire can be carried out using data delivered from unmanned aerial vehicles.

The application of the proposed algorithm for the analysis of the dynamics of 137Cs emissions into the atmosphere from the April 2020 wildfire showed a good agreement with the data reported by various authors who used the method of inverse simulation. Improving the accuracy of calculations according to the proposed algorithm can be done by rectifying radionuclide emission factors and taking into account fire intensity data, which in turn can affect both the radionuclide emission factor and the degree of burnout of plant biomass.

How to cite: Protsak, V., Laptev, G., Voitsekhovych, O., Hinchuk, T., and Korychenskyi, K.: Methodology for estimating the emission of radionuclides into the atmosphere from wildfires in the Chernobyl Exclusion Zone, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11620, https://doi.org/10.5194/egusphere-egu22-11620, 2022.

Human activities such as mining and processing of naturally occurring radioactive materials have a potential to result in enhanced radioactivity levels in the environment. In South Africa, there has been extensive mining of gold and uranium which produced large mine tailings dams that are highly concentrated with radioactive elements. The purpose of this study was to carry out a preliminary survey on a large scale to assess the activity concentrations of 238U, 232Th and 40K in mine tailings, soils and outcropping rocks in the West Rand District in South Africa. This was done to better understand the impact of the abandoned mine tailings on the surrounding soil. This study employed in-situ gamma spectrometry technique to measure the activity concentrations of 238U, 232Th and 40K. The portable BGO SUPER-SPEC (RS-230) spectrometer, with a 6.3 cubic inches Bismuth Germanate Oxide (BGO) detector was used for in-situ measurements. In mine tailings the activity concentrations for 238U, 232Th and 40K were found to range from 209.95 to 2578.68 Bq/kg, 19.49 to 108.00 Bq/kg and 31.30 to 626.00 Bq/kg, respectively. In surface soil, the activity concentration of 238U for all measurements ranged between 12.35 and 941.07 Bq/kg, with an average value of 59.15 Bq/kg. 232Th levels ranged between 12.59 and 78.36 Bq/kg, with an average of 34.91 Bq/kg. For 40K the average activity concentration was found to be 245.64 Bq/kg, in a range of 31.30 - 1345.90 Bq/kg. For the rock samples analyzed, average activity concentrations were 32.97 Bq/kg, 32.26 Bq/kg and 351.52 Bg/kg for 238U, 232Th and 40K, respectively. The results indicate that higher radioactivity levels are found in mine tailings than in rocks and soils. 238U was found to contribute significantly to the overall activity concentration in tailings dams as compared to 232Th and 40K. It has been observed that the mine tailings have a potential to impact on the activity concentration of 238U in soil in the immediate vicinity. However, on a regional scale it was found that the radioactivity levels in surface soil mainly depend on the radioelement concentration of the underlying rocks. The contamination is only confined to areas where mine tailings materials are washed off and deposited on surface soils in close proximity to tailings sources. This serves as an indication that the migration of uranium from tailings dams is localized and occurs within short distances. It is recommended that further radiological monitoring be conducted in areas found to have elevated concentration of uranium-238.

Keywords-In-situ gamma-ray spectrometry, Mine tailings, Radioactivity, Soil.

How to cite: Moshupya, P., Abiye, T., and Korir, I.: In-situ measurements of natural radioactivity levels in the gold mine tailings dams of the West Rand District, South Africa., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11669, https://doi.org/10.5194/egusphere-egu22-11669, 2022.

SSS8 – Soil, Environment and Ecosystem Interactions

Quantitative understanding of the processes governing radon production and transport in soils and its exhalation rate into the atmospheric boundary layer are essential if we want to use this radioactive noble gas to assess above- and below-ground transport processes. While production of radon in soils is mainly governed by static soil properties such as texture and uranium content, the dominant parameter modulating its exhalation rate is volumetric soil moisture. Here we present an improved process-based high-resolution radon flux map for Europe, using up-to-date soil property maps, including updated uranium activity concentration data from the European Atlas of Natural Radiation. Daily radon exhalation is calculated based on high-resolution soil moisture estimates from the ERA5 and the GLDAS Noah land surface models.  Depending on the soil moisture model used, estimated radon fluxes show differences as large as a factor of two, but modelled soil moisture and corresponding modelled radon fluxes also differ from observations. This highlights the importance of accurate representative soil moisture observations for model validation. Although the fluxes of biogeochemical reactive trace gases at the soil-atmosphere interface are also driven by other variable parameters, such as temperature or microbial activity, their net fluxes can often also be limited by effective diffusivity in the upper soil layers, and thus by soil moisture. Estimating variability and uncertainty of biogeochemical active trace gas fluxes such as methane or hydrogen on the regional or continental scale could therefore benefit from experience with the noble gas radon.

How to cite: Karstens, U. and Levin, I.: Parameterisation of radon diffusivity and exhalation rate from soils – limitations and its applicability to other trace gases, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1332, https://doi.org/10.5194/egusphere-egu22-1332, 2022.

EGU22-2027 | Presentations | SSS8.3 | Highlight

The water vapor adsorption by dry soils potentially links the water and carbon cycles: insight from a semiarid crusted ecosystem 

Clément Lopez-Canfin, Roberto Lázaro, and Enrique P. Sánchez-Cañete

The process of water vapor adsorption (WVA) by soil (i.e. water vapor movement from atmosphere to soil, forming liquid water on soil particles) is likely a substantial contributor to the water cycle in drylands. However, several gaps remain in our knowledge of WVA: (1) continuous in situ estimates of WVA are still very scarce; (2) the underlying mechanisms involved in its temporal patterns are still not well constrained, and (3) the understanding of its coupling with the carbon cycle and ecosystem processes remains at an incipient stage.

Here, we aimed to (1) identify periods of WVA and improve the understanding of the underlying mechanisms involved in its temporal patterns by using the gradient method (GM); (2) characterize a potential coupling between water vapor and CO2 fluxes, especially expected in drylands due to the water-limitation of ecosystem processes. In particular, we assumed that the nocturnal soil CO2 uptake increasingly reported in those environments (including at our study site) could come from WVA enhancing reactions with CaCO3; (3) explore the effect of soil properties and biocrusts ecological succession on fluxes.

To this end, in the Tabernas Desert (Almería, Spain), we measured continuously during ca. 2 years the relative humidity and CO2 molar fraction in soil and atmosphere, in association with below- and aboveground variables, in microsites representative of the biocrusts ecological succession. We estimated water vapor and CO2 fluxes with the GM, and cumulative fluxes over the study. Then, we used linear and non-linear statistical modelling to explain relationships between variables.

Our main findings are (1) WVA during hot and dry periods, and a new insight into the micrometeorological conditions triggering those fluxes; (2) a diel coupling between water vapor and CO2 fluxes (including the uptake of both gases by soil at night) and between cumulative fluxes, well predicted by our models; and (3) cumulative CO2 influxes increasing with specific surface area in early succession stages, thus mitigating CO2 emissions. We suggest that the GM is a suitable approach to monitor WVA in-situ since it offers several advantages such as providing direct low-cost measurements of water vapor fluxes with good spatio-temporal resolution and low soil disturbance. Over a year, the WVA represented between ca. 0.2% and 2.8% of the precipitation amount, depending on the microsite and the diffusion model that was used to estimate the fluxes.

Therefore, WVA constituted a non-negligible input of liquid water in this dryland. In particular, during summer drought, as WVA was the main water source, it probably maintained ecosystem processes such as microbial activity and mineral reactions. We propose that the nocturnal CO2 uptake reported in this dryland may arise from (i) WVA enhancing geochemical reactions involving CaCO3 and/or biological dark CO2 fixation; (ii) the co-adsorption of CO2. Further research is now needed to (1) disentangle those processes; (2) monitor soil water vapor and CO2 uptake by soils as those sinks could grow with climate change; (3) improve the accuracy of the water vapor fluxes estimated with the GM, for example by calibrating the GM with lysimeters.

How to cite: Lopez-Canfin, C., Lázaro, R., and Sánchez-Cañete, E. P.: The water vapor adsorption by dry soils potentially links the water and carbon cycles: insight from a semiarid crusted ecosystem, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2027, https://doi.org/10.5194/egusphere-egu22-2027, 2022.

EGU22-2693 | Presentations | SSS8.3

Anaerobic soil disinfestation benefits soil health while at a high environmental cost in solar greenhouse vegetable production systems 

Li Wan, Yiming Zhao, Longlong Xia, Jing Hu, Tongxin Xue, Haofeng Lv, Klaus Butterbach-Bahl, and Shan Lin

Vegetable production in solar greenhouses in Eastern China generally suffers from over-fertilization and unreasonable irrigation, which result in severe soil degradation and soil-borne pathogens occurrence. Anaerobic soil disinfestation (ASD), as a newly developed economic technique, can combat pathogens in greenhouse vegetable soils. The ASD can create strong reductive conditions through the decomposition of added fresh C sources (crop residues or livestock manure) under saturated irrigation and warm conditions induced by plastic coverage to kill soil pathogens. However, ASD-induced organic matters application may increase N leaching and greenhouse gas (GHG) emissions, which remains unknown. Here, we investigated the effects of combined application of two crop residues (rice shells/maize straw) with different amounts of dry chicken manure (0, 300, 600, 1200 kg N ha-1) on N leaching and GHG emissions losses in greenhouse vegetable production systems adopting ASD technique in Eastern China. Our results showed that seasonal N leaching and N2O emissions ranged from 144-306 kg N ha-1 and 3-44 kg N ha-1, respectively, which both significantly increased with manure application rate. Approximately 56-91% of seasonal N2O emissions occurred during the ASD period (5 weeks before vegetable transplantation), whereas 75-100% of total N leaching occurred in the following vegetable-growing season after ASD. The incorporation of crop residues significantly increased N2O emissions by 33-47% while decreasing N leaching by 26-27% compared with CK treatment. The application rate of chicken manure did not affect vegetable yield while significantly increasing the greenhouse gas intensity (GHGI) and reactive N losses intensity (NrI), with reducing 75% manure application significantly decreased 40-45% and 33-38% in GHGI and NrI, respectively. Our results demonstrate that overfertilization with conventional irrigation will not benefit the yield but at a high cost in environment N losses. Overall, current ASD schemes combined with additional manure and irrigation schemes need to be adapted to avoid GHG emissions and N leaching for reducing environmental pollution and improving the sustainability of greenhouse vegetable production systems.

How to cite: Wan, L., Zhao, Y., Xia, L., Hu, J., Xue, T., Lv, H., Butterbach-Bahl, K., and Lin, S.: Anaerobic soil disinfestation benefits soil health while at a high environmental cost in solar greenhouse vegetable production systems, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2693, https://doi.org/10.5194/egusphere-egu22-2693, 2022.

EGU22-3975 | Presentations | SSS8.3

Multicomponent transport and geochemical reactions under evaporative conditions at the soil/atmosphere interface 

Navid Ahmadi, Muhammad Muniruzzaman, Maria Battistel, and Massimo Rolle

The reactive transport of gas components in the subsurface significantly influences key biogeochemical processes. For instance, reactive transport of oxygen in soil influences mineral dissolution/precipitation and control pore water chemistry. The dynamics of such processes is affected by land-atmosphere interactions and controlled by the exchange processes occurring at the soil/atmosphere interface. One notable example is soil water evaporation that is driven by the exchange of water vapor and energy across the soil/atmosphere interface. This process creates a two-phase system in soil pores and induces a non-linear and complex distribution of the fluid phases (i.e., liquid and gaseous phase) and gas components in the individual phases. The spatiotemporal evolution of the fluid phases and the transport of gas components with and across the phases, in turn, exert important controls on key subsurface biogeochemical processes.

In this study, we explore the impact of evaporation on reactive transport of oxygen in soil using well-controlled laboratory experiments and numerical simulations. We performed a set of evaporation experiments in which an initially water saturated, anoxic soil column containing a layer of pyrite is exposed to a low-humidity atmospheric condition. This resulted in the formation of a partially saturated zone, the invasion of a drying front, and the penetration of oxygen into the porous medium, leading to oxidative dissolution of pyrite. In parallel, we also performed similar experiments under fully water-saturated conditions in order to compare the extent of mineral dissolution with and without evaporation. The spatiotemporal distribution of oxygen was measured using a non-invasive optode technique during the experiments and the concentration of dissolved reaction products (i.e., sulfate, iron and pH) was quantified at the end of the experiments. We developed a non-isothermal multiphase and multicomponent reactive transport model and applied the model to quantitatively interpret the experimental datasets and to understand the coupling between fluid displacement, component transport and geochemical processes.

How to cite: Ahmadi, N., Muniruzzaman, M., Battistel, M., and Rolle, M.: Multicomponent transport and geochemical reactions under evaporative conditions at the soil/atmosphere interface, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3975, https://doi.org/10.5194/egusphere-egu22-3975, 2022.

EGU22-4511 | Presentations | SSS8.3

Forest clear-cutting effects on greenhouse gas dynamics in riparian buffer zones 

Marcus Klaus, Katerina Machacova, Alice Falk, Marcus Wallin, Kaidoo Soosaar, and Mats Öquist

Soils play an important role in the Earth's greenhouse gas cycle. The gas dynamics in soils are tightly coupled to gas dynamics in plants, trees, and surface waters. Riparian soils receive and process solutes leaching from upland areas and act as crucial buffers of land-use effects on various ecological and biogeochemical properties of surface waters. However, their role in greenhouse gas cycling is poorly understood. Forest clear-cutting often increases the leaching of organic carbon, nutrients and greenhouse gases in groundwater. Unfortunately, the fate of these substances on their way from upland clear-cut areas through riparian forest buffer zones left along streams after clear-cutting is unknown, but highly relevant for watershed-scale greenhouse gas budgets. Here, we performed a watershed-scale experiment to investigate the effect of clear-cutting on greenhouse gas dynamics in riparian forest buffer zones in a Swedish boreal headwater catchment. The experiment included weekly to monthly sampling during April-October before (2020) and after (2021) forest clear-cutting performed in February 2021, and included a treatment watershed and an untreated reference watershed. We measured concentrations of carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O) in soils using gas probes installed at various depths within the zone of groundwater level fluctuations along four transects from the clear-cut area through riparian forest buffer zones to near-stream sites. We also measured fluxes of these gases between the atmosphere and the forest floor, as well as tree stems, using flux chamber techniques. Initial results suggest that the clear-cutting increased CO2 and CH4 concentrations in clear-cut soils and the center of riparian buffer zones, but not in near-stream sites. In contrast, the concentrations of N2O in soils were not affected by forest clear-cutting across the full transects. In terms of greenhouse gas exchange with the atmosphere, the clear-cutting did not affect CO2, CH4 and N2O fluxes at the forest floor. Tree stems were consistent emitters of CO2 and CH4 in 2021, but the clear-cut effect remains unclear due to missing reference data before the clear-cut. Together, these results suggest that the clear-cut induced excess of CO2 and CH4 in upland groundwater was likely consumed in riparian soils or emitted through tree stems, assuming that upland and riparian soils were hydrologically connected. Our results stress the potential importance of riparian buffer zones in mediating clear-cut effects on catchment-scale greenhouse gas budgets.

How to cite: Klaus, M., Machacova, K., Falk, A., Wallin, M., Soosaar, K., and Öquist, M.: Forest clear-cutting effects on greenhouse gas dynamics in riparian buffer zones, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4511, https://doi.org/10.5194/egusphere-egu22-4511, 2022.

EGU22-4585 | Presentations | SSS8.3

Nitrous oxide emission peaks and distribution of nitrous oxide in the soil profile during rain events: A soil column experiment 

Line Vinther Hansen, Andreas Brændholt, Azeem Tariq, Lars Stoumann Jensen, and Sander Bruun

Nitrous oxide (N2O) emissions are notoriously variable at different spatial and temporal scales. As recognized in the literature, peaks in emissions of N2O occur after fertilization, precipitation and freeze-thaw events. Although the individual microbial processes have been extensively studied, the understanding of the underlying mechanisms behind the pulse emissions is still subject to many uncertainties. The N2O produced in connection with a rain event can either be entrapped in the soil matrix and be subject to N2O reduction or be released later when soil diffusivity increases as water infiltrate into the soil or evaporate.

To understand the mechanisms behind the observed flux emissions related to precipitation events, we are conducting a laboratory experiment to quantify the N2O movement in the soil. In 50 cm tall soil columns exposed to a simulated rain event, gas samples are extracted from the soil matrix at three depths via reinforced silicone tubes. At the surface, gas is sampled for flux estimates.

A common trigger of pulse emissions is a lowered soil oxygen content. Continuous monitoring of the soil oxygen with sensors at three depths provides measurements of O2 dynamics in the soil simultaneously with the N2O content. This can add to the understanding of how O2 relates to N2O production, reduction and movement. Tensiometers will additionally provide data on the soil water status during simulated precipitation events.

The experimental set-up can furthermore be used for studying the effects of other factors affecting N2O movement and emission in soil e.g., soil types, type of fertilizers, soil temperature etc. 

 

 

How to cite: Hansen, L. V., Brændholt, A., Tariq, A., Jensen, L. S., and Bruun, S.: Nitrous oxide emission peaks and distribution of nitrous oxide in the soil profile during rain events: A soil column experiment, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4585, https://doi.org/10.5194/egusphere-egu22-4585, 2022.

Exchange of greenhouse gases (GHG) between soils and the atmosphere are highly dynamic in space and time challenging prediction of how the fluxes from soils respond to environmental change. The soil hydrological and thermal regime are major drivers of the rates of biogeochemical processes producing or consuming GHG's in the soil, but how these factors interact to regulate net GHG fluxes is unclear.

Part of the reason is the lack of high frequency in situ GHG flux measurements in environments with gradients of the hydrological and thermal regimes. Disentangling the interactive effects of soil hydrology and temperature on GHG fluxes based on in situ observations is key for building more accurate biogeochemical models.

Here we present the results from a unique GHG flux observation campaign using the SkyLine2D automated chamber measurement system. Contrary to other automated chamber systems, the SkyLine2D uses one chamber moved along two ropes and lowered on to predefined collars on the ground which is ideal for studying environmental gradients. With the SkyLine2D we can study the complexity of the interactions of GHG fluxes and edaphic and dynamic factors.

We deployed the SkyLine2D with a total of 30 individual flux collars covering a soil hydrological gradient in a reestablished beech forest swap in Denmark, from well-drained upland to waterlogged and occasionally flooded soils. Along the transect automated measurements of groundwater depth (GWD), soil moisture (SM) and temperature (ST) were measured continuously together with climatic parameters (rain, humidity, wind and air temperature). Bulk density, pH and carbon/nitrogen pools were measured as well along the transect. Plants were excluded by clipping above ground parts in the collars to measure net soil GHG fluxes.

The campaign covered a 2-year period (2019 – 2021) with simultaneous measurements of net CO2, CH4 and N2O fluxes. With these data we will explore spatiotemporal patterns in GHG fluxes and relation of these to soil hydrology and temperature. We seek to present multi-factorial GWD/SM/ST -  GHG flux response functions nested within a soil type gradient (carbon/nitrogen pools, pH).

How to cite: Christiansen, J. and Steenberg Larsen, K.: Spatiotemporal variability of CO2, CH4 and N2O fluxes over a soil hydrological gradient reveal soil water-temperature interactions on biogeochemical pathways, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5235, https://doi.org/10.5194/egusphere-egu22-5235, 2022.

EGU22-5707 | Presentations | SSS8.3

Elucidating soil pore N2O production and consumption processes using isotope and microbial gene analysis: A depth profile approach 

Luisa I. Minich, Matti Barthel, Rafaela F. Conz, Roman Hüppi, Benjamin C. Wilde, Roland A. Werner, Thomas Kuhn, Moritz F. Lehmann, Frank Hagedorn, Martin Hartmann, Thomas Scholten, and Johan Six

N2O is a stratospheric ozone depleting substance and a potent greenhouse gas which significantly contributes to global warming. Although soils are the largest source of N2O emissions, knowledge gaps in the understanding of N2O production and reduction processes in soils still exist. Here, we investigated N2O production and consumption processes along soil depth profiles in a mesocosm experiment using natural-abundance N2O and NO3- isotopic signatures as well as abundances of soil microbial genes associated with N2O production (nirK, nirS) and reduction (nosZ). Soil columns either displayed undisturbed soil stratification (control treatments), or contained an artificial clay layer at 35 cm depth (clay treatment), which acted as a diffusion barrier and thus induced O2-limited conditions in deeper strata. We collected soil pore gas, soil solution and soil samples at five depths of the soil columns over the course of four weeks. In addition, we continuously monitored N2O fluxes at the soil surface and soil environmental parameters (oxygen, moisture, temperature) along the soil depth profiles. Microbial gene analysis in soil samples revealed similar abundances of nirK, nirS and nosZ in the two treatments across the entire soil depth profiles. The distribution of the functional genes was thus not indicative of enhanced N2O production and/or reduction in O2-limited conditions. However, lowest O2 concentrations below the clay layer were associated with highest 15N and 18O enrichments in both NO3- and N2O, indicating N2O production by denitrification and fractional N2O reduction. In addition, we found higher N2O concentrations and surface fluxes for the clay treatment. Our observations imply a dominance of N2O production over N2O reduction, even under conditions most favorable for complete denitrification.

How to cite: Minich, L. I., Barthel, M., F. Conz, R., Hüppi, R., Wilde, B. C., Werner, R. A., Kuhn, T., Lehmann, M. F., Hagedorn, F., Hartmann, M., Scholten, T., and Six, J.: Elucidating soil pore N2O production and consumption processes using isotope and microbial gene analysis: A depth profile approach, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5707, https://doi.org/10.5194/egusphere-egu22-5707, 2022.

EGU22-6145 | Presentations | SSS8.3

The Concept of Resolving Very Small Soil Fluxes of N2O and CH4 over Time and Space Using New OF-CEAS Technology  

George Burba, Graham Leggett, and Kristen Minish

The N2O and CH4 soil flux studies traditionally consider certain time periods and certain ecosystems to be of low importance due to very small or negligible expected flux rates. Periods of such “negligible” fluxes are rarely reported because small fluxes are hard to resolve, measurements are costly, time-consuming, and often take a lot of power. “Negligible” flux sites are also rarely studied because small fluxes are hard to resolve, measurements are time-consuming and costly, and it is hard to get funding to measure something when the error bars cross zero.

However, such fluxes may not be negligible in time when multiplied by long time duration, for example, 340 out of 365 days per year. Similarly, these may not be negligible in space when multiplied by a large area. When GHG budgets are of interest, very small fluxes multiplied by hundreds of days or square kilometers, or both, could easily exceed large fluxes multiplied by a few days or square kilometers.

The new OF-CAES technology [1-7] has very low minimum detectable flux which helps make more of such measurements valuable and valid in both time and space. The presentation will demonstrate the field data on the N2O and CH4 soil flux performance of this new technology. Conceptual simulations will also demonstrate the significant advantages of using the technology when measuring small N2O and CH4 fluxes over time and space.

 

References:

[1] Burba, 2022. Eddy Covariance Method for Scientific, Regulatory, and Commercial Applications. LI-COR Biosciences, 660 pp (under review)

[2] Burba, 2021. Atmospheric Flux Measurements. In Advances in Spectroscopic Monitoring of the Atmosphere. Elsevier Science, 618 pp

[3] Koulikov and Kachanov, 2014. Laser-based cavity-enhanced optical absorption gas analyzer with laser feedback optimization. US Patent 8659758

[4] Leggett et al, 2019. Development of Trace CH4 and CO2 Analyzers: Performance Evaluation Studies, Gowers Integration, and Field Results. AGUFM

[5] Minish et al, 2019. New High-Precision Low-Power CO2 and CH4 Analyzers for Multiple Applications. Geophysical Research Abstracts, Vol. 21

[6] Romanini et al, 2014. Introduction to cavity-enhanced absorption spectroscopy. In Cavity-Enhanced Spectroscopy and Sensing. Springer, 546 pp

[7] Xu et al, 2020. How do soil temperature and moisture regulate N2O flux from an urban lawn? AGUFM

How to cite: Burba, G., Leggett, G., and Minish, K.: The Concept of Resolving Very Small Soil Fluxes of N2O and CH4 over Time and Space Using New OF-CEAS Technology , EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6145, https://doi.org/10.5194/egusphere-egu22-6145, 2022.

EGU22-8713 | Presentations | SSS8.3

Blowing in the wind: a review of wind and air- pressure-related effects on soil gas transport 

Martin Maier, Laurin Osterholt, and Dirk Schindler

Gas transport in the soil is dominated by molecular diffusion in the air-filled pore network. A study in the 1970s could show that Radon emissions from soil increased during the passage of a low-pressure system which temporarily enhanced soil gas transport rates (Clements & Wilkening, 1974). Enhanced wind speed near the soil surface was also found to speed up gas transport rates in the soil (Kimball & Lemon, 1971). Further studies followed confirming the observations that wind and substantial atmospheric pressure changes have the potential to affect soil gas transport, including studies conducted in snow and firn, deserts, forest soil, arid systems, and soils near water saturation. Especially during recent years, wind and air- pressure-related effects on soil gas transport received increasing attention, with diverse concepts and methodologies, and also a wider ecological relevance.

While the slow (hours) and relatively large atmospheric pressure changes (up to 50 hPa) reported in Clements & Wilkening (1974) cause a kind of steady piston flow in the soil, the effect in Kimball & Lemon, (1971) was explained as the result of dynamic wind-induced pressure fluctuations, which are much smaller in amplitude (2-20 Pa) and occur at higher frequencies (0.1-1.0 Hz). Although the effect of wind-induced pressure fluctuations on gas transport in the soil has been confirmed by a few studies, there is still only little knowledge about the underlying processes. Additional effects between the pure “static piston flow “and the dynamic pressure fluctuations certainly occur. Different approaches and methodologies were used to derive estimates for the impact (if quantified) of air pressure fluctuations on soil gas transport, which makes inter-study comparisons complicated and limits further progress.

We overview relevant studies, their methods, concepts and explanations to identify research gaps and develop a plan for further research concepts.

Clements, W. E., & Wilkening, M. H. (1974). Atmospheric pressure effects on 222 Rn transport across the Earth-air interface. Journal of Geophysical Research, 79(33), 5025–5029. https://doi.org/10.1029/jc079i033p05025

Kimball, B., & Lemon, E. (1971). Air Turbulence Effects Upon Soil Gas Exchange. Soil Science Societyof America Journal 35(1), 16–21. https://doi.org/10.2136/sssaj1971.03615995003500010013x

 

How to cite: Maier, M., Osterholt, L., and Schindler, D.: Blowing in the wind: a review of wind and air- pressure-related effects on soil gas transport, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8713, https://doi.org/10.5194/egusphere-egu22-8713, 2022.

EGU22-9183 | Presentations | SSS8.3

Spotting C2H4 in forest soils- what influences the occurrence of the phytohormone? 

Verena Lang, Veronika Schneider, Alexander Schengel, Jürgen Schäffer, Helmer Schack-Kirchner, and Martin Maier

As a reactive gaseous hydrocarbon, the phytohormone ethylene (Ethene, C2H4) influences root growth, senescence, and fruit ripening. While plants produce ethylene, microorganisms and fungi are also capable of degrading it. Ethylene therefore acts as an indicator for soil biological processes, but due to its reactivity it is hardly detectable in the atmosphere and soil air. In the 1970s to 1990s, studies were able to demonstrate that up to several ppm of C2H4 occur in soil under certain conditions. However, these studies were limited to laboratory experiments and have a limited transferabilty to undisturbed forest soils.

We investigated the occurrence of ethylene as well as the influencing environmental parameters in forest soils in southwestern Germany using long-term measurement series from the Forest Environmental Monitoring (ICP Forests), as well as from project studies over the past 30 years. In total, soil gas data were available from 24 sites covering a period from 1994 to 2021. Data from gas samplers were used which were installed at various soil depths, at which the soil gas concentration was determined at regular intervals.

The data analysis showed that ethylene in the forest soil very rarely reached the detection limit of our highly sensitive gas chromatography system and that the occurrence is not subject to a regular temporal pattern, but rather cluster in hotspots and hot moments. Ethylene is measured far more frequently under spruce than under deciduous trees. The observed tree species effect indicates a correlation between rooting intensity and ethylene occurrence, as revealed by the evaluation of the root profiles. Artificial soil compaction also leads to increased ethylene concentrations, whereas no effect of liming could be observed.

Thus, the extensive field measurements confirm the patterns known from laboratory studies and show that ethylene, despite its rare occurrence in forest soils, is potentially found at all sites. The accumulation of ethylene in soil air could be observed significantly more frequently in compacted soils than in well-aerated forest soils, where the faster exchange with ethylene free atmospheric air makes accumulation and thus detection difficult.

How to cite: Lang, V., Schneider, V., Schengel, A., Schäffer, J., Schack-Kirchner, H., and Maier, M.: Spotting C2H4 in forest soils- what influences the occurrence of the phytohormone?, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9183, https://doi.org/10.5194/egusphere-egu22-9183, 2022.

EGU22-9185 | Presentations | SSS8.3

Nitrogen cycling in biological soil crusts; microbial transformation processes and atmospheric nitrous acid and nitric oxide emissions 

Bettina Weber, Stefanie Maier, Alexandra M. Kratz, Jens Weber, Minsu Kim, Diego Leiva, Maria Prass, Fobang Liu, Adam T. Clark, Raeid M.M. Abed, Hang Su, Yafang Cheng, Thilo Eickhorst, Sabine Fiedler, and Ulrich Pöschl

Biological soil crusts (abbreviated as biocrusts) are composed of photoautotrophic cyanobacteria, algae, lichens, and bryophytes, growing together with heterotrophic bacteria, archaea and fungi and forming an intimate association with soil particles in the uppermost millimeters of the substrate. They occur globally in drylands, where they cover about 1/3 of the soil surface, corresponding to an area of about 18 x 106 km2. Biocrusts fix atmospheric nitrogen (N), which is needed for physiological processes and the formation of biomass. However, it recently was also shown that similar to bulk soil, N is cycled within biocrusts and major fractions of it are released as nitrous acid (HONO) and nitric oxide (NO) to the atmosphere.

Based on these initial results, we investigated the biologically mediated N-cycling processes in biocrusts as related to wetting and drying events. We investigated the microbial activity at different drying stages by means of transcriptome analysis and related these results to soil nitrite and nitrate concentrations over time. In addition, we utilized catalyzed reporter deposition fluorescence in situ hybridization (CARD-FISH) to quantify the number of bacteria, archaea, and nitrite oxidizing bacteria in different strata over time.

Our results revealed that within less than 30 minutes after wetting, genes encoding for all relevant N cycling processes, including N fixation, ammonification, nitrification, denitrification, and assimilatory and dissimilatory N reduction were expressed. The most abundant transcriptionally active N-transforming microorganisms belonged to the Rhodobacteraceae, Enterobacteriaceae and Pseudomonadaceae within the Alpha- and Gammaproteobacteria. The soil nitrite contents increased significantly during the desiccation process, likely serving as a precursor for NO and HONO emissions, which peaked at relatively low water contents of ~20% water holding capacity. This nitrite accumulation was likely caused by a differential expression of nitrite as compared to nitrate reductase encoding genes over the course of desiccation. Additionally, our data suggest that ammonia-oxidizing organisms may have responded to changing local oxygen conditions during drying. These mechanisms are also supported by process-based modelling, which has been conducted by us. Thus, our results show that the activity of N-cycling microorganisms, as related to the water and oxygen conditions within the substrate, determines the process rates and overall quantity of reactive nitrogen emissions.

How to cite: Weber, B., Maier, S., Kratz, A. M., Weber, J., Kim, M., Leiva, D., Prass, M., Liu, F., Clark, A. T., Abed, R. M. M., Su, H., Cheng, Y., Eickhorst, T., Fiedler, S., and Pöschl, U.: Nitrogen cycling in biological soil crusts; microbial transformation processes and atmospheric nitrous acid and nitric oxide emissions, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9185, https://doi.org/10.5194/egusphere-egu22-9185, 2022.

Gas transport in soils is generally dominated by molecular diffusion. Yet, several studies showed that other factors such as wind-induced pressure-pumping can substantially enhance soil gas transport for a certain time. The underlying processes behind wind-induced enhancement of soil gas transport are very complex and there is an ongoing discussion about it. It has been observed that turbulence associated with high above-canopy wind speed generates pressure fluctuations that propagate into the air filled soil pore network. The resulting 2D pressure field travels in wind direction over the ground and generates lateral pressure gradients in the soil (Laemmel et al., 2019). We hypothesize that the 2D oscillation of the pressure gradient in the soil significantly contributes to the pressure-pumping effect (PPE) compared to a purely 1D pressure oscillation.

Previous studies relied on a monitoring of gas transport rates in the soil, which needed to cover calm and windy periods. In order to quantify PPE at different soils and to investigate the influence of 2D versus 1D pressure fields we develop a large mobile chamber system (approx. 2 x 4 m) with separated compartments to simulate dynamic 2D fields of pressure fluctuations in the field. By alternately pumping air in and out of the chamber sinusoidal pressure fluctuations can be generated. Pressure fluctuations in the different compartments can be set with a time-lag to create a lateral gradient between the compartments and thereby simulate 2D pressure fields.

Combined with automated chamber measurements and soil gas profile measurements inside the chamber system the influence of pressure-pumping on soil gas efflux can be investigated while the influence of other environmental drivers can be excluded. In the natural environment windy periods often coincide with other parameters like precipitation or temperature which also influence gas transport in soil. Excluding these factors could allow a clearer quantification of PPE. With this chamber system also the influence of wind speed directly above the ground in comparison to the influence of pure pressure-pumping could be investigated. Artificially simulating pressure-pumping has the advantage over the monitoring of natural pressure-pumping events that different scenarios can be run under controlled conditions and with replications. Additionally, artificially simulating pressure-pumping saves a lot of time since there is no need to wait for the right wind conditions. We believe that this set up will help to gain a better understanding of wind-induced pressure-pumping on a process level.

Literature:

Laemmel, T., Mohr, M., Schack-Kirchner, H., Schindler, D., & Maier, M. (2019). 1D Air Pressure Fluctuations Cannot Fully Explain the Natural Pressure-Pumping Effect on Soil Gas Transport. Soil Science Society of America Journal, 83(4), 1044-1053.

How to cite: Osterholt, L. and Maier, M.: Towards a better understanding of wind-induced pressure-pumping - a chamber system to simulate dynamic fields of pressure fluctuations , EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9503, https://doi.org/10.5194/egusphere-egu22-9503, 2022.

EGU22-9993 | Presentations | SSS8.3

Analyzing CO2, CH4 and N2O Concentrations in the Vadose Zone of Several Aquifers of the South of Spain 

Enrique Echeverría Martín, Andrew S. Kowalski, Penélope Serrano-Ortiz, and Enrique Pérez Sánchez-Cañete

Greenhouse gas (GHG: CO2, CH4 and N2O) concentrations continue to increase in the earth’s atmosphere and they are fully implicated in current global warming. There is a critical need to understand of the cause–effect relationships of GHG emissions and quantify their sources/sinks in the natural systems, as well as its main reservoirs and quantity. In particular, there is a need to understand and quantify GHGs within the vadose zone (as an unknown reservoir), because depending on its porosity it can store different amounts of these gases. The vadose zone, the space between the surface and the groundwater, has an important contribution to the global GHG due to both its high concentrations and the enormous capacity to store gases in its pore space.

At present, the measurements of these three GHGs have been widely studied mainly in the first few meters of the soil, not taking into account the transport and storage processes in deep areas. However, the study of the whole column of the vadose zone should not be neglected since it can make an important contribution to the global GHG balance.  

This study analyses GHG concentrations in the vadose zones of several aquifers of the Andalusian Mediterranean basins. For this purpose, air samples were taken from more than one hundred wells in a total of 22 aquifers with water table depths between 7-240 meters; samples were collected at different depths: 12.5, 25, 50, 100 and 200 meters and one sample was collected at the groundwater boundary; for these reasons, the number of samples per well varied depending on the depth to the water table. These samples and analyses provide profiles of GHG concentrations: with values for CO2 between 103-75030 ppm, for CH4 between 0.02-755 ppm and for N2O between 0.31-1504 ppm. The ultimate objective of the project is to know the GHG  profile, the porosity, depth to the water table, groundwater chemistry and aquifer extension, to estimate underground GHG storage.

How to cite: Echeverría Martín, E., Kowalski, A. S., Serrano-Ortiz, P., and Pérez Sánchez-Cañete, E.: Analyzing CO2, CH4 and N2O Concentrations in the Vadose Zone of Several Aquifers of the South of Spain, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9993, https://doi.org/10.5194/egusphere-egu22-9993, 2022.

EGU22-10393 | Presentations | SSS8.3

Beyond one-size-fits-all: Estimating effective soil physical parameters for gas flux modelling 

Valentin Gartiser, Verena Lang, Laurin Osterholt, Hubert Jochheim, and Martin Maier

The flux-gradient method (FGM) is a versatile approach for modelling soil gas fluxes from concentration profiles. It is especially useful for continuous and long-term estimations of gas fluxes based on concentrations from permanently installed probes or sensors, focussing on relative changes and trends in time. However, there are inherent uncertainties in the parametrisation, e.g. diffusivity estimates or installation depths of probes. This can make it challenging to estimate absolute fluxes, as small differences in some parameters can lead to disproportionately high changes in the model output. The relative uncertainty of the input parameters can be assessed by multiple replicate measurements. However, further analysis often requires the use of a single value, where usually the mean or median value is used. Yet, the “effective” parameter value that best describes real-world conditions can deviate from a mathematically precise mean value, so that rather than one-size-fits-all, a range of values (e.g. mean ± standard deviation) should be considered. This can be solved by calibration of FGM models on the basis of reference measurements.

The FGM requires estimation of both, gas concentration gradients and diffusivity in the soil. Gas concentration can be measured relatively easily and consistently, whereas diffusivity is often harder to estimate reliably. One possibility is in-situ measurement using a tracer gas. However, due to relatively high cost and work requirement, diffusivity is often modelled from air-filled pore space (AFPS) instead, using soil-specific transfer functions (TF´s). Modelling soil gas diffusivity in turn requires several input parameters, including porosity, soil water content, temperature and barometric pressure. While modelling diffusivity can have satisfactory results when analysed in the laboratory on soil cores, there are far more challenges in the field, which eventually result in a mismatch between the concentration profiles, diffusivity, and modelled efflux. As a result, FGM-modelled efflux may have an offset compared to more reliable chamber measurements.

Hence, rather than following a one-size-fits-all approach, the inherent uncertainties of diffusivity modelling should be accepted and compensated for by finding effective values of input parameters that close the gap between concentration and diffusivity measurements. Here, we introduce a procedure to run a sensitivity analysis on FGM models to identify the most influential input parameters, as well as find a suitable model parametrisation of effective values. Input parameters of FGM models are varied within a range around the original value and several quality parameters are calculated from the comparison of the model output to reference flux measurements and to the original gas concentration profile. The parametrisation with the “best” quality parameters are then used as “effective” values for the enhanced final model. The process was developed on a dataset of continuous gas concentration measurements in forest soils and is now being applied to long-term datasets as well. This may enhance the quality of FGM models and in turn help to balance gas fluxes in soils.

How to cite: Gartiser, V., Lang, V., Osterholt, L., Jochheim, H., and Maier, M.: Beyond one-size-fits-all: Estimating effective soil physical parameters for gas flux modelling, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10393, https://doi.org/10.5194/egusphere-egu22-10393, 2022.

EGU22-10407 | Presentations | SSS8.3

Natural and forced soil aeration during agricultural managed aquifer recharge (Ag-MAR) 

Yonatan Ganot and Helen Dahlke

Agricultural managed aquifer recharge (Ag-MAR) is an emerging method for groundwater replenishment, in which farmland is flooded during the winter using excess surface water to recharge the underlying aquifer. Successful implementation of Ag-MAR projects requires careful estimation of the soil aeration status, as prolonged saturated (waterlogged) conditions in the rhizosphere can damage crops due to O2 deficiency. We studied the soil aeration status under almond trees and cover crops during Ag-MAR at three sites differing in drainage properties. We used O2 and redox potential as soil aeration quantifiers to test the impact of forced aeration compared with natural soil aeration. Forced aeration treatments included air-injection through subsurface drip irrigation, or dissolution of calcium peroxide powder (scattered on the soil surface before flooding). Our results suggest that forced soil aeration methods have an average increase of up to 2% O2 compared to natural soil aeration. Additionally, only a minor impact on crop yield was observed between treatments for one growing season. Results further suggest that natural soil aeration can support crop O2 demand during Ag-MAR if flooding duration is controlled according to O2 depletion rates. According to this concept, we developed a simple model based only on soil texture and crop type, for estimating Ag-MAR flood duration with minimal crop damage.

How to cite: Ganot, Y. and Dahlke, H.: Natural and forced soil aeration during agricultural managed aquifer recharge (Ag-MAR), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10407, https://doi.org/10.5194/egusphere-egu22-10407, 2022.

EGU22-11770 | Presentations | SSS8.3 | Highlight

Wadden Sea salt marshes - sinks or sources of methane and nitrous oxide? 

Miriam Fuss, Peter Mueller, Norman Rueggen, and Lars Kutzbach

Salt marshes are vegetated coastal habitats recognised for their great potential to act as effective soil organic carbon sinks, driven by high rates of photosynthetic CO2 uptake and effective long-term storage of organic matter under reducing soil conditions. However, it is poorly understood when and under which conditions salt marshes can act as sinks or sources of the powerful non-CO2 greenhouse gases CH4 and N2O. A complex interplay of environmental factors characterises the biogeochemistry of these ecosystems. This interplay is in turn controlled by elevation in respect to mean high water level and thereby inundation frequency, forming three vegetation zones, which are on average flooded twice daily with every high tide (pioneer zone), twice per month with every spring tide (low marsh) and sporadically during storm surges (high marsh).

We measured land atmosphere fluxes of CH4, N2O and CO2 at a salt-marsh site in Nordfriesland, Germany, combining a closed chamber approach with in situ measurements of portable infrared gas analysers. From June 2018 to September 2021 we conducted biweekly (Apr-Sept) and monthly (Oct-Mar) campaigns covering the elevational gradient throughout all vegetation zones from pioneer zone to high marsh.

All greenhouse gas fluxes indicated strong dependence on elevation. Ecosystem respiration CO2 fluxes showed highest values in the high marsh. CH4 emissions occurred mainly in the most frequently flooded pioneer zone (up to +0.60 µmol*h-1*m-2), whereas low and high marsh acted as net CH4 sinks (down to -2.0 µmol*h-1*m-2). Contrastingly, N2O mainly showed positive fluxes (up to +1.1 µmol*h-1*m-2) in the high marsh, and the more frequently flooded zones acted as net N2O sinks (down to  0.21 µmol*h-1*m-2). Further analysis of environmental variables like soil temperature, flooding frequency, groundwater level fluctuations and plant community composition will follow to identify drivers of varying greenhouse gas fluxes.

Our findings show that salt marshes are not only effective in assimilating CO2. They also show the ability to take up the strong greenhouse gases CH4 and N2O, emphasizing their important role in mitigating global warming.

How to cite: Fuss, M., Mueller, P., Rueggen, N., and Kutzbach, L.: Wadden Sea salt marshes - sinks or sources of methane and nitrous oxide?, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11770, https://doi.org/10.5194/egusphere-egu22-11770, 2022.

The increase of CO2 in the atmosphere has led to warming of the Earth’s surface and other climate changes. As heterotrophic respiration has great potential to increase atmospheric CO2 concentrations, it is important to quantify the variation in soil CO2 emission and to find its control factors under climate change. Though there are numerous studies about the warming effect on soil CO2 fluxes, the duration and variation of the effect remains unclear in subtropical forests. Here, we conducted a soil warming experiment with a multichannel automated chamber system in a secondary subtropical broad-leaved evergreen forest in Hong Kong. 15 chambers were set up in forest and were divided into 3 treatments, including a control, a root trenching, and an infrared-warming with root trenching chamber to determine the effect of warming on soil heterotrophic respiration in forest.

So far, after 3-year warming, soil temperature at 5 cm depth was increased by 2.47 °C, compared with the control chambers. Soil CO2 fluxes in experimental warming chambers have been significantly stimulated by 33.06%. There is significant relationship between soil temperature and soil CO2 fluxes in all the treatments, while in heating chambers, the relationship was weaker. The warming effect on soil CO2 emission was high in hot and humid summer, indicating that summer precipitation and the resulting soil moisture level also strongly influenced the soil warming effect in this forest. A moderately strong relationship was only found between soil moisture and temperature-normalized CO2 flux data in trenched chambers in 2020, when annual precipitation was the highest among 3 years. We found a significant reduction in the warming effect on soil respiration and highest Q10 values for soil respiration and its components in 2021, when annual precipitation was the lowest. Experimental warming significantly decreased Q10 value for heterotrophic respiration, which may be due to the reduction of soil moisture. Cross-correlation analysis showed that there was evident diel hysteresis between CO2 and soil temperature, while no significant seasonal hysteresis was observed. Longer-term monitoring on soil respiration under warming conditions is still needed to confirm if the reduction of warming effect is caused by microbial acclimation in our site.

How to cite: Lou, D., Liang, N., and Lai, D. Y. F.: Seasonal variability and magnitude of soil CO2 fluxes in a warming experiment in a secondary subtropical forest in Hong Kong, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13071, https://doi.org/10.5194/egusphere-egu22-13071, 2022.

EGU22-13398 | Presentations | SSS8.3

Diurnal variation in soil nitrous oxide emissions (DIVINE): drivers and mechanisms 

James Benjamin Keane, Niall P. McNamara, Jeanette Whitaker, James Moir, Pete E. Levy, Sam Robinson, Stella Linnekogel, Hanna Walker, Kate Storer, Pete Berry, Sylvia Toet, and Sarah Lee

Nitrous oxide (N2O) is a potent greenhouse gas (GHG) with a global warming potential 298 times that of carbon dioxide (CO2). Measurements of soil N2O emissions typically use manual chambers, with samples taken at low temporal resolution over long durations (months), or at higher temporal resolution (multiple samples per day) over short durations. Automated GHG flux systems have allowed the measurement of high frequency (sub-daily) N2O fluxes over longer periods (weeks to months), revealing that emissions can vary diurnally by up to 400% in agricultural soils.

Contributing approximately 70% of global anthropogenic N2O emissions, agriculture represents the largest area of uncertainty for GHG reporting and the most challenging sector for emissions reduction: global N2O emissions are increasing at double the rate estimated by the Intergovernmental Panel on Climate Change (IPCC). Improvements to agricultural GHG emission estimates have increased the accuracy of GHG reporting, but N2O emissions from agricultural soils still contribute 25% of the uncertainty of total GHG emissions across all sectors. Our project, diurnal variation in soil nitrous oxide emissions (DIVINE), combines field and laboratory experiments that exploit high-resolution, robotic and continuous N2O measurement technology, to investigate the drivers and mechanisms underpinning diurnal variation in N2O.

We will present work from a field study investigating the effect of soil properties and nitrogen (N) fertiliser management on diurnal variation in N2O emissions from a wheat crop. We assess how N fertiliser application (rate and frequency) and soil gas diffusivity (determined by bulk density and rain events), affect the depth of N2O production and N2O transport in the soil, and resultant impacts on the peak timing and amplitude of diurnal N2O emissions across the crop life cycle and seasons.

N2O emissions will be compared in paired transects with contrasting bulk density but similar soil texture and history, with three ammonium nitrate fertiliser scenarios. N2O is being measured continuously using SkyLine2D automated flux chamber technology. To resolve depth/gas transfer coefficients after N fertiliser and rain events, we will measure soil N2O concentration profiles across the rooting zone in discrete campaigns during the crop life cycle.

Further, we will discuss how our data will be used to improve the accuracy of N2O emission factors by accounting for environmental and diurnal variation. Bayesian statistical modelling will be used to represent the spatial and temporal distribution of emissions following fertilisation, and the effects of known environmental factors (e.g. temperature, soil moisture, light intensity), as well as the residual effect explicable by the diurnal cycle.

How to cite: Keane, J. B., McNamara, N. P., Whitaker, J., Moir, J., Levy, P. E., Robinson, S., Linnekogel, S., Walker, H., Storer, K., Berry, P., Toet, S., and Lee, S.: Diurnal variation in soil nitrous oxide emissions (DIVINE): drivers and mechanisms, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13398, https://doi.org/10.5194/egusphere-egu22-13398, 2022.

EGU22-2534 | Presentations | SSS8.4

Various dominant factors of temperature sensitivity of soil respiration across China 

Zhihan Yang, Xiaolu Tang, Tao Zhou, and Xinrui Luo

As a crucial process of global carbon cycle, soil respiration (RS) is one of the largest out flux of carbon dioxide from terrestrial ecosystems to atmosphere. The temperature sensitivity of RS (Q10) was considered as a benchmark in describing terrestrial soil carbon-climate responses. However, the spatiotemporal and dominant factors of Q10 were not explored well at regional scale. To bridge the knowledge gap, we derived a gridded dataset of Q10 from 1994 to 2016 across China (data-derived Q10) by using a random forest (RF) model with the linkage of 515 field observations and environmental variables. The model efficiency of RF was 0.5 with root mean squared error (RMSE) of 0.62. Spatially, data-derived Q10 varied a lot from 1.54 to 4.17 with an average of 2.52, and were higher in cold regions. Temporally, the annual change of data-derived Q10 was not significant (p = 0.28). To investigate the dominant factors, we used partial correlation analysis to detect the relationships between data-derived Q10 and annual mean temperature (MAT), annual mean precipitation (MAP) and soil organic carbon (SOC). Generally, SOC was the most dominant factor which covered 46 % of land surface across China, followed by MAT (29 %) and MAP (25 %). However, there was a strong spatial heterogeneity of the proportions of dominant factors in different climatic zones, ecosystem types, and climatic conditions. Among different ecosystems, the percentage of areas dominated by MAT in grasslands (34 %) and wetlands (31 %) were higher than that of other ecosystem types (less than 25 %). Under different MAP gradients, it can be observed that the percentage of areas dominated by MAP was higher when MAP is extremely high (> 1600 mm) or extremely low (0 ~ 200 mm), which were 31 % and 29 %, respectively, higher than that at 800 ~ 1000 mm (16 %). In our results, percentage of areas dominated by MAT was higher in cold regions. As MAT increased, the percentage of areas dominated by MAT gradually decreased, and it was 33 % at MAT <-5℃, higher than when MAT at 15 ~ 20℃ (23 %). Similarly, this phenomenon was more intuitive along the Q10 gradient, the percentage of areas dominated by MAT gradually increased from 22 % (Q10 < 2) to 56 % (Q10 > 3.5). Also, this phenomenon could be observed across different climatic zones. Except for the smallest tropical regions, from subtropical to temperate to plateau regions, the local temperature gradually decreased while the percentage of areas dominated by MAT also gradually increased (from 24 % to 36 %). Our results showed that in colder regions, the temperature influenced Q10 more significantly, which may indicate that future Q10 variations in cold regions may be more notable than in warm regions in a warming climate. This study was supported by National Natural Science Foundation of China (31800365), State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Independent Research Project (SKLGP2021K024).

How to cite: Yang, Z., Tang, X., Zhou, T., and Luo, X.: Various dominant factors of temperature sensitivity of soil respiration across China, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2534, https://doi.org/10.5194/egusphere-egu22-2534, 2022.

EGU22-3323 | Presentations | SSS8.4

Quality assessment of open access Digital Terrain Models to estimate topographic attributes relevant to soil vertic properties prediction. A case study of Entre Rios province (Argentina) 

Graciela Metternicht, Hector del Valle, Fernando Tentor, Walter Sione, Pamela Zamboni, and Pablo Aceñolaza

Digital terrain models (DTM) allow deriving topographic attributes that help predict soil properties within a landscape. A variety of DTMs, digital elevation models (DEMs), and digital surface models (DSM) derived from Earth Observation (EO) data are freely accessible via Internet for download and use: MERIT-DEM, SRTM v3 (SRTM Plus), GDEM v3 (ASTGTM), AW3D30 v3, Copernicus GLO-30, NASADEM HGT v1, SRTMGL1 up-sampled (ASF DAAC) and MDE-Ar v2.  However, information on their accuracy to represent terrain surfaces (particularly topographic attributes) can vary according to regions and geographies, which can impact soil cartography accuracy at sub-regional and catchment levels. This research evaluates the accuracy of the models mentioned above for estimating topographic attributes relevant to the cartography of soil vertic properties in the northern part of the Entre Ríos province, Argentina. To this end, east-west and north-south transects were used to collect 126 evenly distributed ground control points. The root mean squared error (RMSE) and symmetric mean absolute percentage error (sMAPE) served as the basis for comparing the performance of the terrain models. The sMAPE provides a percentage (or relative) error, facilitating a comparison of the accuracy with which each elevation value is predicted (in addition to the average error expressed by the RMSE value).

The results show that out of the 8 models compared, the Copernicus GLO-30 offers the highest accuracy (RMSE=1.36; sMAPE=1.5%) for representing terrain surface features in the province of Entre Rios, whereas the highest RMSE (7.79) and sMAPE (11.2%) corresponded to the ASTGTM v3. The paper describes a simplified approach for extracting a digital terrain model (DTM) from the digital elevation information provided in the Copernicus GLO-30. Grid-spline interpolation and multilevel b-spline interpolation (from SAGA open GIS software) were applied to remove natural and built features. The output DTM was used to calculate plan and profile curvature index, multi-scale topographic position index (TPI), multiresolution index of valley bottom flatness (MrVBF), terrain ruggedness index (TRI), and topographic wetness index (TWI) that are important in modelling relationships between geomorphology, vertic soils, and surface hydrology in landscapes characterized by catenary sequences of Mollisols-Alfisols-Vertisols. A higher TRI was associated to increased local relief heterogeneity. Higher values of the MrVBF relate to broad flat valley bottoms and more extensive alluvial zones often confined between the slightly rolling and undulating plains, and peneplain landscapes. Lastly, the TWI was used to map potential areas for surface water accumulation that field verifications showed as corresponding with the location of vertic soils.

Integrating DTM-derived topographic attributes with other ancillary data enabled mapping the spatial distribution of soil vertic properties over the study area and associating their occurrence to specific landscape zones (ie. close to drainage networks). The approach and findings are relevant for showing where and how the landscapes of the Entre Rios province are affected by a combined impact of human activities (intensive agriculture) and a hydrographic network that boosts the processes of soil erosion and contaminant transport.

How to cite: Metternicht, G., del Valle, H., Tentor, F., Sione, W., Zamboni, P., and Aceñolaza, P.: Quality assessment of open access Digital Terrain Models to estimate topographic attributes relevant to soil vertic properties prediction. A case study of Entre Rios province (Argentina), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3323, https://doi.org/10.5194/egusphere-egu22-3323, 2022.

EGU22-4555 | Presentations | SSS8.4

Assessing Long-Term Field Experiments of Europe through a geospatial data infrastructure 

Cenk Donmez, Meike Grosse, Wilfried Hierold, and Marcus Schmidt

Long-Term Field Experiments (LTEs) are agricultural experiments for monitoring soil and crop properties in changing climate conditions and different management practices. These trials were set up on various soil textures and types to reveal the effects of management and environment on crop production and soil resources. Although the LTEs are essential infrastructures for sustainable soil yield and use, LTE-related information was dispersed, thus not easy to find. To close this research gap, we compiled and analyzed the meta-information of the LTEs across Europe and their spatial representation in a geospatial data infrastructure, including a data repository and an LTE overview map developed within the framework of the BonaRes project (BonaRes 2021; Grosse et al. 2021). During the research, LTEs with a minimum duration of 20 years were identified, and the meta-information was collected by extensive literature review and factsheets. In total, 405 LTEs in Europe were identified, clustered in different categories (management operations, land use, duration, status, etc.), and these clusters were geospatially analysed to provide inputs for the agricultural industry, scientists and decision-makers. LTEs from 25 countries were utilized including Germany, where the oldest LTE started in 1843. The majority of the LTEs have the fertilization treatment, followed by crop rotation and tillage. The results will help to develop a mutual agricultural management framework by revealing the LTE potential internationally. The geospatial data structure will contribute to scaling up the management practices from site to landscape-level for increasing the adaptation of agricultural systems to climate change.

Key Words: Long-Term Field Experiments, BonaRes, Europe, soil science, GIS.

References

BonaRes (2021). Long-term Experiments in Europe. Overview of long-term Experiments. https://lte.bonares.de

Grosse, M., Ahlborn, M.C., Hierold, W. (2021). Metadata of agricultural long-term experiments in Europe exclusive of Germany. Data in Brief 38, https://doi.org/10.1016/j.dib.2021.107322

 

How to cite: Donmez, C., Grosse, M., Hierold, W., and Schmidt, M.: Assessing Long-Term Field Experiments of Europe through a geospatial data infrastructure, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4555, https://doi.org/10.5194/egusphere-egu22-4555, 2022.

EGU22-4590 | Presentations | SSS8.4

Pesticides reduction, improvement of soil quality and olive traceability by means of zeolite-rich tuff: the Zeoliva project 

Valeria Medoro, Giacomo ferretti, Annalisa Rotondi, Giulio Galamini, Lucia Morrone, Barbara Faccini, and Massimo Coltorti

Zeoliva is a 3-years project financed by the Italian Ministry of Agricultural, Forestry and Food Policies (MIPAAF) and led by the University of Ferrara and the National Research Council of Bologna. The project goals are the improvement of soil quality and the contrasting of olive fruit fly infestation (Bactrocera oleae) by means of natural and sustainable methods which implies the reduction of chemical fertilizer and pesticide inputs in olive growing. To reach these objectives, natural zeolites (chabazite-rich tuff from central Italy) were used both as foliar treatments (micronized form, WP2) and as a soil amendment (granular form, WP3) in various experimental sites located in the Emilia-Romagna region (Italy). Two sites (Site A: organic, Site B: conventional) were dedicated to WP2 on adult olive trees to reduce the use of chemical pesticides (Dimethoate) or as an alternative to chemical traps (Spintorfly) in fighting Bactrocera oleae. In Site A, the tested treatments were: natural zeolite (ZN), NH4+ enriched zeolite (ZA) and conventional practices of Spinosad+Spyntor Fly on traps (SF); in Site B: zeolite+Dimethoate (ZN-DM), Dimethoate (DM) and no foliar treatment (CNT). Leaves and olives were analyzed by ICP-MS to identify which Major Elements and Rare Earth Elements (REE) can be used to label the origin of the final products for food traceability purposes. 

REE showed a higher trend for the treatments with zeolite (ZN and ZA in site A; ZN in site B) than in the control (CNT) and conventional treatments (SF or DM). Statistical analyses such as Principal Component Analysis (PCA) and Partial Least Squares-Discriminant Analysis (PLS-DA) were applied to the dataset. On one hand, the PCA indicated differences between groups of plants treated with zeolite and those without, both in leaves and olives matrices; on the other hand, PLS-DA pointed out that some elements (Rb, Zr, Nb, La and Th in site A; Sm and Dy in site B) can be potentially suitable as markers for olives traceability.

Concerning WP3, experimentations (2019-2021) took place in three sites on young olive trees (⁓ 3 years old) in which 500 g of natural zeolites were added at transplant. Plants grown on soil amended with natural zeolites (ZN) were compared to those grown on unamended soil (CNT). Fertilizer inputs were reduced by 50% in ZN plants to demonstrate the beneficial effects of natural zeolites on soil N retention. At each site, soils and leaves were sampled three times in three replicates per treatment: March-April (Pre-Fertilization), May-June (Post-Fertilization) and October-November (Harvest) each year. Soil and leaves total N, soil NO3--N, NO2-N and anions in H2O extracts were monitored to evaluate differences between treatments.

Soil and leaves N content was not significantly different between ZN and CNT in most cases at each site. Given that in ZN treatment the N input was reduced by 50% and that crop N uptake was similar, it can be assumed that fewer N losses occurred in ZN treatments thanks to the presence of natural zeolites.

How to cite: Medoro, V., ferretti, G., Rotondi, A., Galamini, G., Morrone, L., Faccini, B., and Coltorti, M.: Pesticides reduction, improvement of soil quality and olive traceability by means of zeolite-rich tuff: the Zeoliva project, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4590, https://doi.org/10.5194/egusphere-egu22-4590, 2022.

EGU22-9949 | Presentations | SSS8.4 | Highlight

Establishing a Spatial Soil Database Management System to Support Carbon Farming Geolocation: Introducing the LIFE GEOCARBON Preparatory Project 

Dimitris Triantakonstantis, Kostas Bithas, Spyridon E. Detsikas, George P. Petropoulos, Costanza Calzolari, Francesco Vaccari, José Pascual, Margarita Ros, and Carlos Guerrero

Carbon farming has been proposed as one of the primary pilots of the upcoming CAP by the European Commission and European Parliament. Subsidies will be tied to carbon farming, necessitating the development of practical methods to assess farmers' carbon balance. The so-called Activity Data are one of the most common gaps preventing a thorough assessment of carbon balance at both the micro and macro levels. In addition, the accuracy and completeness of existing estimates of the carbon sink capacity of agricultural soils remains until today under-addressed. These obstacles are now reflected in National GHG Inventory Reports, which use default emission factors for most Mediterranean Nations, resulting in Tier 1 reporting status. Thus, for climate change mitigation, a more precise evaluation of the changes in the carbon balance of soil in relation to agricultural management techniques could be extremely helpful. 
In this presentation we introduce the recently initiated EU-funded GEOCARBON project, (http://www.lifegeocarbon.eu) providing a detailed overview of the project’s research aims and objectives as well as the first results from its implementation. The project aims to address the lack of farming-level knowledge systems by enhancing existing earth-based data with a structured, harmonized geospatial framework system that is ready to be used as input to the Carbon Farming Calculation Tool. 
The project outputs will combine all existing knowledge databases to facilitate the development of an interactive Carbon Farming Calculation tool. The project's principal deliverable will be a demonstration high-resolution geospatial information system that will collect relevant data (e.g., climate, landscape elements, management practices, etc.). This will be used to determine the potential for climate change mitigation at farm level, as well as to design and implement targeted Carbon Farming strategies. The GEOCARBON project will geo-locate (at agricultural parcel level) a representative sample of farms and offer quantitative and qualitative statistics on earth-based data relevant to the agricultural sector.
The geospatial framework system that will be developed in GEOCARBON will be a critical step towards carbon precise calculation at farm level, employing IT-based decision support tools as part of a climate change mitigation plan. GEOCARBON deliverables are expected to enhance farmers' knowledge towards strengthening the so-called Activity data for the LULUCF sector. Farmers will be able to use a cost-effective mobile application on the field to record their management techniques (cultivation methods).

KEYWORDS: carbon farming, GEOCARBON, geoinformation, webgis

How to cite: Triantakonstantis, D., Bithas, K., Detsikas, S. E., Petropoulos, G. P., Calzolari, C., Vaccari, F., Pascual, J., Ros, M., and Guerrero, C.: Establishing a Spatial Soil Database Management System to Support Carbon Farming Geolocation: Introducing the LIFE GEOCARBON Preparatory Project, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9949, https://doi.org/10.5194/egusphere-egu22-9949, 2022.

EGU22-10139 | Presentations | SSS8.4 | Highlight

Soil organic carbon stocks in climatic and soil regions of Turkey mapped by a pedology-based GIS procedure 

Claudio Zucca and the SOC in Turkish Landscapes international team

An original GIS-based procedure was developed to map SOC stocks across four study areas representing different bioclimatic regions of Turkey, Northeastern Anatolia (NEA), Thrace (THR), Central Anatolia (CA), and Southeastern Anatolia (SEA), over a total surface of around 148,000 km2. A dataset of 4151 georeferenced topsoil (0-20 cm) soil organic carbon (SOC) point samples was used, along with climate, soil type, and land cover maps.

C-Stock maps were elaborated independently in each study region. Average C-Stock values were assigned to “landscape” polygon units representing combinations of WRB soil type, land cover, and climate, based on the point data included in such units. The obtained values were extrapolated to similar landscape units for which point data were not available. This procedure allowed highlighting the effects on soil carbon of contemporary land cover. The effects of past and recent land use were incorporated by acquiring historical information on land management in traditional landscape systems (Anthroscapes) and its contribution to preserve the current soil carbon reserves. The overall total calculated C-Stock was 486.8 Tg with an average value of 31.5 Mg ha-1. Average SOC stock values per hectare were highest (47.1 Mg ha-1) in the cool-humid NEA, lowest (22.1 Mg ha-1) in the semi-arid SEA, and moderately low (27.3 and 25.6 Mg ha-1) in the dry continental CA and in the Mediterranean THR regions.

Averaging carbon stock data over landscape units (nested climate, soil, land cover information), instead of using polygons to summarize gridded data obtained by spatial interpolation made the output maps and data more easily interpretable and usable to support the development of sustainable land management policies and to link carbon sequestration to other ecosystem services targets. The findings can be used for the definition of realistic carbon sequestration and soil health targets considering the potential determined by local climate and soil conditions, and land use.

How to cite: Zucca, C. and the SOC in Turkish Landscapes international team: Soil organic carbon stocks in climatic and soil regions of Turkey mapped by a pedology-based GIS procedure, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10139, https://doi.org/10.5194/egusphere-egu22-10139, 2022.

EGU22-10847 | Presentations | SSS8.4

Random Forests to classify salt-affected soils from soluble salt ions 

Demis Andrade Foronda

Salt-affected soils are characterized by an excess of soluble salts and/or sodium. The widely used US Salinity Lab (USSL) classification considers the exchangeable sodium percentage (ESP), electrical conductivity (EC) and pH. Breiman and Cutler's random forests (RF) algorithm chooses the most voted class over all the trees at training time. The aim was to model and predict the USSL salt-term categories from soluble ions by applying RF model classification. Topsoil samples (110) were collected from the High Valley of Cochabamba (Bolivia) and were analyzed to measure the soluble cations (Na+, K+, Ca2+, Mg2+) and anions (HCO3, Cl, CO32–, SO42–), in addition to the required salinity parameters to classify the samples according to the thresholds: ESP of 5%, ECe of 4 dSm-1 and pH of 8.2. No samples matched in the saline category. The overall out-of-bag error was 17.4% and according to the confusion matrix, the class errors for normal, saline-sodic and sodic soil were 0.12, 0.00 and 0.36, respectively. The variables with higher estimated importance and also selected by RF backward elimination were: Na+, Cl, Ca2+ and HCO3. Additional sampling might be useful in order to reduce the errors and misclassifications, as well as to improve the selection of variables.

How to cite: Andrade Foronda, D.: Random Forests to classify salt-affected soils from soluble salt ions, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10847, https://doi.org/10.5194/egusphere-egu22-10847, 2022.

EGU22-11002 | Presentations | SSS8.4

Comparison of soil hydraulic properties determined from multiple Earth observation datasets 

Damini Sarma, Manika Gupta, Juby Thomas, and Prashant Srivastava

Soil properties play an inevitable role in hydrological modelling and there by affecting the quantification of energy and water fluxes both regionally and locally. However, estimating soil properties through field experiments is still a challenge and the literature values do not represent the regional or local areas. The Earth observation datasets can provide the soil surface information. However, the current datasets are at coarse resolution and cannot be utilized for field level agriculture. This study inversely derives the soil hydraulic properties at 30 m resolution by downscaling various microwave Earth observation datasets. The downscaling of soil moisture is achieved with utilization of LANDSAT land surface temperature and normalized difference vegetation index. This product will help in better estimation of hydrological fluxes and also soil management for various hydrological applications and site-specific studies. The accuracy of the algorithm used in the present study is validated at the test site. The method proposed in this study can be implemented in regions where in-situ acquisition of soil properties is not feasible.

How to cite: Sarma, D., Gupta, M., Thomas, J., and Srivastava, P.: Comparison of soil hydraulic properties determined from multiple Earth observation datasets, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11002, https://doi.org/10.5194/egusphere-egu22-11002, 2022.

EGU22-11074 | Presentations | SSS8.4

Assessing of the accuracy of interpolation methods to map soil properties at regional scale in Extremadura (SW Spain) 

Jesús Barrena González, Anthony Gabourel, and J. Francisco Lavado Contador

Identifying the most appropriate interpolation method for a given area is a necessary step to properly map soil properties. The aim of this work was to evaluate the accuracy and usefulness of 9 interpolation methods (deterministic and geostatistical) with data of 12 soil properties: clay, silt, and sand content, pH, cation exchange capacity, and calcium, magnesium, sodium, nitrogen, phosphorus, potassium and organic matter content, that were measured at three different depth ranges, i.e., 0-5 cm, 5-10 cm and > 10 cm. Data gathered from more than 400 sampling points were used to map these soil properties in the Spanish region of Extremadura (ca. 41,000 km2 of land surface). Data showed a high variability, both in terms of the different parameters and the depth intervals. The coefficient of determination (r2) and root mean square error (RMSE) were used as statistics to determine the accuracy and decide the most suitable interpolation method in each case. The results were variable, and the most appropriate interpolation method varied according to the property of the soil and the depth under consideration. As some instances, for the 0-5 cm clay content data the best method was the ordinary kriging (0.714 r2 and 3.629 RMSE), while for the 5-10 cm data Spline with Tension (0.56 r2 and 5.855 RMSE) produced better results. In the case of pH values, however, the Completely Regularized Spline method yielded good results both for depths of 0-5 cm (0.678 r2 and 0.487 RMSE) and 5-10 cm (0.610 r2 and 0.603 RMSE), being preferable the ordinary kriging to the depths > 10 cm (0.667 r2 and 0.639 RMSE). In general, it was the Inverse Distance Weighting (IDW) method which showed the best results, followed by other deterministic methods such as Completely Regularized Spline (CRS) and Spline with Tension (SwT). Furthermore, Empirical Bayesian Kriging (EBK) was the geostatistical method that yielded the best results.  In view of the results obtained, the need to consider various interpolation methods when mapping soil properties becomes evident.

How to cite: Barrena González, J., Gabourel, A., and Lavado Contador, J. F.: Assessing of the accuracy of interpolation methods to map soil properties at regional scale in Extremadura (SW Spain), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11074, https://doi.org/10.5194/egusphere-egu22-11074, 2022.

EGU22-11703 | Presentations | SSS8.4

Soil Surface Moisture retrievals from EO and cosmic ray- based approach for selected sites in the UK 

Spyridon E. Detsikas, Owen D. Howells, Zacharias Ioannou, George P. Petropoulos, Dimitris Triantakonstantis, Prashant K. Srivastava, and George Stavroulakis

Large-scale soil moisture monitoring is a critical element of sustainable intensification of agricultural land. Remote sensing provides the way forward required for nationwide soil moisture monitoring coverage. On the other, utilising cosmic-ray neutron probes is a relatively new approach for obtaining larger area soil moisture and various relevant operational monitoring networks have been established worldwide utilising this technology to measure operationally this parameter.

This study compares retrievals of soil moisture between the COSMOS-UK cosmic-ray soil moisture observation network and the Synthetic-Aperture-Radar Soil Water Index (SCAT-SAR SWI) product across selected COSMOS-UK sites. A further objective has been to investigate the true footprint and the variations within the footprint detectable area at the COSMOS-UK sites using as a case study one such site located in Riseholme, UK. At the selected experimental site extensive fieldwork was conducted in July 2017 that allowed objectively examining the agreement between the truth data of the TDT soil moisture sensors and the COSMOS-UK product for soil moisture.

It was found that the true footprint of this COSMOS-UK station was representative for an area smaller than the general assumed footprint of 600m diameter, as generally proposed in various relevant investigations. The COSMOS network slightly overestimated soil moisture content measured by the Time Domain Transmissometry (TDT) sensor probes installed in the area.  Results of our study contribute towards efforts to assess the COSMOS-UK soil moisture measurement footprint demonstrating the added value of geospatial analysis techniques for this purpose.

Results showed a strong correlation between the true data of the Time Domain Transmissometry soil moisture sensors and the COSMOS and SCAT-SAR products for soil moisture. In addition, the true footprint of this COSMOS-UK station was discovered to be reflective of a smaller area than the usually accepted footprint of 600m diameter, as proposed in many relevant studies.

Results of our study contribute towards efforts to assess the COSMOS-UK soil moisture measurement footprint demonstrating the added value of geospatial analysis techniques for this purpose. Further scrutiny of the technique is required to establish its applicability to different areas and ecosystems. Such an investigation would require exploring the prediction accuracy of the technique for other sites would have other contributing features such as slopes, land cover differentiation and penetrating vegetation such as hedgerows which could drastically affect the footprint of the probes. All the above are topics of key importance to be taken up by future studies exploiting neutron probe data in the context of soil moisture retrievals.

Keywords: COSMOS UK; SCAT-SAR SWI; Soil Moisture Monitoring; Spatial Analysis; Remote Sensing

How to cite: Detsikas, S. E., Howells, O. D., Ioannou, Z., Petropoulos, G. P., Triantakonstantis, D., Srivastava, P. K., and Stavroulakis, G.: Soil Surface Moisture retrievals from EO and cosmic ray- based approach for selected sites in the UK, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11703, https://doi.org/10.5194/egusphere-egu22-11703, 2022.

EGU22-12008 | Presentations | SSS8.4 | Highlight

A methodological framework  for mapping frost occurrence utilizing a cloud-based platform & geospatial data 

George P. Petropoulos, Spyridon E. Detsikas, and Ionut Sandric

Frost is one of the most damaging hazards in agriculture as its impacts negatively cropland yield and agro-ecosystems, affecting price commodities of agricultural products. Locating the spatiotemporal patterns of frost events can be a challenging and costly task since a dense network of weather stations is required to accurately characterize frost distribution. The recent advancements in geoinformation technology have enhanced our ability to retrieve parameters that are critical to the development of frost conditions such as land surface temperature (LST). In addition, the availability of cloud-based imagery processing platforms allows to easily acquire and process LST data over large scales setting the EO field as the optimal mean for frost risk mapping. The present study imprints the frost’s spatial patterns analyzing geospatially referenced frost incident field-based data conducted by the Greek National of Agricultural Payments Agency (ELGA) during the period 2015-2020. In addition, a cloud-based methodological framework is introduced herein based on a time series analysis with LST data from ESA's Sentinel-3 LST operational product to map frost occurrence. The proposed approach was implemented for the same time period as that of the ELGA data. The frost frequency maps developed by the two approaches were  compared using appropriate geospatial data analysis methods in order to determine their correspondence. Results generally demonstrated the added value of EO data in identifying the frost risk degree and geographical extent for all the years analysed. Our proposed methodology has a promising potential to be used at operational scale to map frost risk conditions and to also support decision making in frost hazard mitigation.

KEYWORDS:  cloud-based platform, LST,  Sentinel 3, frost risk, geospatial analysis

How to cite: Petropoulos, G. P., Detsikas, S. E., and Sandric, I.: A methodological framework  for mapping frost occurrence utilizing a cloud-based platform & geospatial data, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12008, https://doi.org/10.5194/egusphere-egu22-12008, 2022.

(correspondence to Ivan Dugan: idugan@agr.hr)

Soil erosion in agricultural land is a global problem and recognized as one of the main drivers of sediment, nutrient losses and diffuse pollution. Vineyards intensively managed in Mediterranean karst environments with agrochemicals and tillage are an example.  The objective of this work is to study the impacts of the season (spring, summer) and different land management practices (tilled, herbicide, grass-covered) on soil properties, erosion and nutrient losses in a vineyard located in Vrgorac (Croatia). Ten soil sampling points and rainfall simulations were carried out in two seasons in 3 different treatments (10x2x3). Rainfall simulation experiments were carried out with a pressurized rainfall simulator, simulating a rainfall at an intensity of 58 mm h-1, for 30 min, over 0.785 m2 plots. Undisturbed soil samples (0-10 cm) were sampled before rainfall simulations. The results showed that mean weight diameter had significantly greater values on the grass-covered treatment in spring) and summer compared to the tilled and herbicide (2.56 mm, 3.03 mm) treatment, while the tilled and herbicide treatment had significantly lower values of water-stable aggregates in spring and summer compared to the grass-covered treatment. Sediment losses were significantly lower on the grass-covered treatment in spring, while those losses were significantly higher on the tilled and herbicide treatment in the summer period. Those values were significantly higher on the herbicide treatment compared to the tilled and grass-covered treatment. Element losses had significantly higher values on the tilled and herbicide treatment. For instance, K losses were significantly higher on the tilled and herbicide treatment in spring and summer, while those losses were significantly lower on the grass-covered treatment (1090.09 g ha-1, 4829.41 g ha-1). Also, Fe losses were significantly higher on the tilled and herbicide treatment in spring, while that value was significantly lower on the grass treatment. In the summer period, significantly lower values were recorded on the tilled and grass-covered treatment. Significantly lower Cu losses in the spring period were recorded on the grass-covered treatment than the tilled and herbicide, while in the summer period, those values were significantly higher on the herbicide and grass-covered treatment than the tilled treatment. This research indicates that it is necessary to test the seasonal soil conditions and different land management to obtain sustainable and less sustainable practices in a sensitive karstic environment.

Keywords: rainfall simulation experiments, geochemistry, soil loss, conventional agriculture, temporal changes

Acknowledgement

This work was supported by Croatian Science Foundation through the project "Soil erosion and degradation in Croatia" (UIP-2017-05-7834) (SEDCRO)

 

 

 

 

How to cite: Dugan, I., Telak, L. J., Pereira, P., and Bogunovic, I.: Seasonal and land management impact on vineyard soil, runoff generation and associated pollutants in karstic environment (Mediterranean Croatia), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-457, https://doi.org/10.5194/egusphere-egu22-457, 2022.

EGU22-2564 | Presentations | SSS8.5

Fiber hemp as a feasible crop for enhancing carbon sequestration and cultivation under water scarcity in sandy agricultural soils 

Agne Matvejeva, Magdalena Sut-Lohmann, Nils Dietrich, Martina Heinrich, and Thomas Raab

Extended dry periods and increasing soil degradation compel the conventional agriculture to shift towards the sustainable practices. Hemp (Cannabis Sativa L.) accounts for crops that require low agricultural inputs and has a high potential to improve soil health hence fertility. The rapid hemp growth, high biomass production and remarkably expanded rooting zone have the vast potential in carbon (C) sequestration and nitrogen (N) fixation. Hemp fibers in the European Union (EU) are commonly used for pulp and paper industry and isolation materials. The study aims to (i) analyze hemp feasibility to grow and contribute to C sequestration under the water scarce conditions in initially nutrient-poor arable sandy soil with high and low canopy densities, and (ii) assess the use of hemp residues like shives and leaves as soil amendments for oat and corn crops in order to increase soil water holding capacity and serve as a long-term nutrient supply. Hemp, oat and corn crops were grown in a greenhouse experiment under LED illumination and wind ventilation for 17 h per day until the harvest. Hemp fibers were obtained through decortication. The biomass of all crops, hemp roots separated into fine and main, soil prior and after the experiment, and soil amendments were investigated for the total C and N content with an ELEMENTAR Vario Max Cube. Also, the elemental analysis for Ca, Mg, K, Zn, Cu, Fe, Al, Na was performed using HNO3 and MP-AES analyses. Total dry root mass for oat and corn crops was measured. Additionally, the soil pH and electrical conductivity (EC) were determined. The results showed that water scarcity had hindered hemp height and biomass production. While under the water limited conditions, the low hemp canopy density had showed slightly advanced growth in comparison to the high canopy density. Furthermore, the results of oat and corn experiment indicated difference between the treatments, where the soil amendment from hemp leaves compared to hemp shives showed enhanced growth in both plant and root biomass.

How to cite: Matvejeva, A., Sut-Lohmann, M., Dietrich, N., Heinrich, M., and Raab, T.: Fiber hemp as a feasible crop for enhancing carbon sequestration and cultivation under water scarcity in sandy agricultural soils, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2564, https://doi.org/10.5194/egusphere-egu22-2564, 2022.

EGU22-2719 | Presentations | SSS8.5

Logging residues promote rapid restoration of soil health after clear-cutting of rubber plantations at two sites with contrasting soils in Africa 

Thibaut Perron, Aymard Kouakou, Charlotte Simon, Louis Mareschal, Frédéric Gay, Mouman Soumahoro, Daouda Kouassi, Nancy Rakotondrazafy, Bruno Rapidel, Jean-Paul Laclau, and Alain Brauman

Soil health is defined as the soil's capacity to deliver ecosystem functions within environmental constraints. On tree plantations, clear-cutting and land preparation between two crop cycles cause severe physical disturbances to the soil and seriously deplete soil organic carbon and biodiversity. Rubber, one of the main tropical perennial crops worldwide, has a plantation life cycle of 25 to 40 years, with successive replanting cycles on the same plot. The aim of this study was to assess the effects of clear-cutting disturbance on three soil functions (carbon transformation, nutrient cycling and structure maintenance) and their restoration after the planting of the new rubber crop, in two contrasting soil situations (Arenosol and Ferralsol) in Côte d'Ivoire. In this 18-month diachronic study, we intensively measured soil functions under different scenarios as regards the management of logging residues and the use or not of a legume cover crop. We investigated the relationship between soil macrofauna diversity and soil heath. At both sites, clear-cutting and land preparation disturbed carbon transformation and nutrient cycling significantly and, to a lesser extent, structure maintenance function. When logging residues were applied, carbon transformation and structure maintenance functions were fully restored within 12 to 18 months after disturbance. By contrast, no restoration of nutrient cycling was observed over the study period. A legume cover crop mainly improved the restoration of carbon transformation. We found a strong relationship (P ≤ 0.001; R2 = 0.62–0.66) between soil macrofauna diversity and soil health. Our overall results were very similar at the two sites, despite their contrasting soil conditions. Keeping logging residues in the plots and sowing a legume in the inter-row at replanting accelerated the restoration of soil functions after major disturbance caused by clear-cutting and land preparation. Our results confirm the necessity of taking soil macrofauna diversity into account in the management of tropical perennial crops.

How to cite: Perron, T., Kouakou, A., Simon, C., Mareschal, L., Gay, F., Soumahoro, M., Kouassi, D., Rakotondrazafy, N., Rapidel, B., Laclau, J.-P., and Brauman, A.: Logging residues promote rapid restoration of soil health after clear-cutting of rubber plantations at two sites with contrasting soils in Africa, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2719, https://doi.org/10.5194/egusphere-egu22-2719, 2022.

EGU22-4408 | Presentations | SSS8.5

Weak effectiveness on vegetation greenness, cover and productivity at the edges of protected areas on the Tibetan Plateau, China 

Ting Hua, Wenwu Zhao, Francesco Cherubini, Xiangping Hu, and Paulo Pereira

Protected areas (PAs) are the critical societal tool to preserve global vegetation growth, but growing evidence showed the effectiveness of PAs varied in different regions. Furthermore, recent efforts to quantify conservation efficiency have primarily focused on vegetation coverage, thereby ignoring conservation efficiency’s comprehensive recognition of vegetation greenness, cover, and productivity. Here, based on satellite observation and windows search strategy, we measured the conservation efficiency at the edge of PAs on vegetation greenness, cover, and productivity on the Tibetan Plateau. The results showed that PAs’ edge performed a weak but significant role in vegetation growth. PAs had a noticeable opposite effect on greenness, cover, and productivity in 10.52 percent of the samples. Fragmented landscapes and landforms are more likely to impede conservation efficiency than geography background factors. This work comprehensively identified the conservation efficiency of vegetation at the edges of PAs, and these findings can help optimize the design of PAs and prevent vegetation losses.

How to cite: Hua, T., Zhao, W., Cherubini, F., Hu, X., and Pereira, P.: Weak effectiveness on vegetation greenness, cover and productivity at the edges of protected areas on the Tibetan Plateau, China, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4408, https://doi.org/10.5194/egusphere-egu22-4408, 2022.

EGU22-4611 | Presentations | SSS8.5

Use of alley cropping in a Mediterranean mandarin orchard: an alternative to improve soil fertility 

Diego Soto Gómez, Virginia Sánchez Navarro, Silvia Martínez Martínez, Juan Antonio Fernández, José Alberto Acosta Avilés, and Raúl Zornoza

The use of tree monoculture systems in Mediterranean areas can accentuate problems already existing in the area, resulting from lack of moisture, low levels of organic matter and high temperatures. In these crops, the soil in the alleys remains bare practically all year, so that in addition to the above limitations, there is an increase in erosion owing to direct exposure to meteorological agents. Owing to climate change, all these disadvantages may be aggravated over time. To improve soil conditions in orchard alleys, various techniques such as mulching, reduced tillage, cover crops or alley cropping can be used. These techniques aim to reduce erosion, improve soil structure and water conditions, and increase the amount of organic matter while slowing down soil mineralization. Alley cropping can also provide complementary commodities for farmers, with important economic benefits. Thus, the objective of this study was to assess if two different crop diversifications applied in mandarin alleys from the Mediterranean region can enhance soil fertility after three crop cycles. For this, three different treatments were applied: i) a mandarin monoculture with bare alley soil all year (MM); ii) a multiple cropping of vetch/barley and then fava bean (AC1) repeated every year in the alleys; and iii) a rotation of fava bean, purslane and cowpea (AC2). Three soil samplings were carried out in February 2019, 2020 and 2021 at 0-10 cm and 10-30 cm depth. Samples were characterized for properties related to fertility: total nitrogen, exchangeable NH4+, NO3-, cation exchange capacity (CEC), exchangeable Ca, Mg and K, soluble B, and available P, Cu, Zn, Fe and Mn. Results showed that in AC1, a significant increase in CEC and exchangeable Ca was observed, while NO3- and B slightly decreased. In AC2, there was a decrease in NH4+ and NO3- concentrations, with significant increases in B and P. In addition, in AC1 and AC2, there was an increase trend in total nitrogen. With regard to bioavailable metals, their behavior was similar in all treatments, with a general decrease along time; only the amount of bioavailable Zn increased. Regarding mandarin yield, there was a slight decrease with crop diversification. However, in 2021, a low mandarin yield was recorded in all treatments caused by Alternaria spp. In AC1, this decrease was partly compensated by the alley crops, corresponding to 26% of the overall land production. In AC2, cowpea production was lower < 2% of land production, so it did not compensate for the losses caused by Alternaria spp. It can be concluded that the AC1 diversification works better than AC2, as it helps to improve soil CEC and increases overall land production, reducing the dependence on a single crop in case of perturbations, such as pests/diseases.

Acknowledgements: This study has been funded by H2020 project Diverfarming (GA 728003).

How to cite: Soto Gómez, D., Sánchez Navarro, V., Martínez Martínez, S., Fernández, J. A., Acosta Avilés, J. A., and Zornoza, R.: Use of alley cropping in a Mediterranean mandarin orchard: an alternative to improve soil fertility, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4611, https://doi.org/10.5194/egusphere-egu22-4611, 2022.

EGU22-5044 | Presentations | SSS8.5

Health status Assessment of state-owned forest soils in the northern Apennines (Italy) 

William Trenti, Mauro De Feudis, Gloria Falsone, and Livia Vittori Antisari

Soil health is defined as the continued capacity of soil to function as a vital living system, sustaining biological productivity and maintaining or enhancing the quality of air and water, thus promoting the overall ecosystem health.

Erosion, incorrect forestry practices, excessive grazing and a changing climate are major threats to soil health in temperate forest ecosystems. Correct forest management is necessary to enhance the soil’s capacity to provide essential ecosystem services such as water regulation, carbon storage and plant productivity.

Because of the growing interest on forest ecosystem services, the Rural Development 2014-2020 of Emilia Romagna Region Project “Technical innovation and carbon capture on management of state-owned forests of high Apennine (BOSCHIAMO)” addresses to strengthen the sustainable management and multi-functionality of some publicly owned forests in the high Apennine, mainly managed by park authorities, while monitoring carbon sequestration in the soil and plant biomass. Within this project, our specific aim was to assess the soil health of three forest sites located in state-owned forests in the Northern Apennines in Emilia-Romagna region (Italy), overlying sandstone formations at a height of approximately 1500 m. The land use was coppice or high forest beech (Fagus sylvatica), high forest spruce (Picea abies), high forest beech and silver fir (Abies alba) and included an area of moorland (Vaccinium myrtillus, Vaccinium uliginosum, Juniperus nana).

In each site, soil profiles, till BC horizon, were dug and each horizon was described, sampled, and analysed for physicochemical and biological parameters.

Soil health assessment was carried out via physicochemical and biological analyses and the calculation of two indexes: Dilly’s index, which highlights the carbon use efficiency of soil microorganisms, and the index of biological fertility (IBF), which is obtained through the sum of scores assigned to significant parameters such as organic C, microbial biomass C content and its activity linked to basal respiration.

These ecosystems showed overall good health, scoring average, good or excellent IBF; Dilly’s index was variable both in space and in depth but directed towards the efficiency of the use of C by microbial biomass. Significant differences in these indexes were found mainly in the subsoil, where the site over the most alterable parent material performed better than sites with a higher coarse fragment content, and the coniferous or mixed forest performed better than the beech forest, while the moorland often showed the worst values. In these cases, the differences in IBF scores were linked to indicators of soil microbial activity. Carbon stock at 0-30 cm was very variable as it depends on many different processes and conditions and was heavily influenced by slope and the quantity of coarse fragments in the soil.

These results will serve as a baseline to quantify the impact on soil health of different logging techniques thus evaluating the best practices to preserve and enhance the ecosystem services provided by the soil.

How to cite: Trenti, W., De Feudis, M., Falsone, G., and Vittori Antisari, L.: Health status Assessment of state-owned forest soils in the northern Apennines (Italy), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5044, https://doi.org/10.5194/egusphere-egu22-5044, 2022.

EGU22-5248 | Presentations | SSS8.5

European soil observatory (EUSO) structure and perspectives 

Calogero Schillaci, Anna Muntwyler, Anne Marechal, Alberto Orgiazzi, Arwyn Jones, Constantin Ciupagea, Daniele Belitrandi, Daniela De Medici, Daniele De Rosa, Diana Vieira, Francis Matthews, Juan Martin-Jimenez, Julia Koeninger, Leonidas Liakos, Luca Montanarella, Maeva Labouyrie, Marc van Liedekerke, Panos Panagos, Simone Scarpa, and Piotr Wojda

The European Soil Observatory (EUSO) was launched in December 2020 to generate and disseminate policy-relevant and harmonized EU–wide soil data and indicators in support of the soil perspectives of the European Green Deal, in particular the new Soil Strategy and the Mission on Soil Health and Food. Among the activities of the Observatory, paramount importance is placed on the development of an EU-wide soil monitoring system, to assess progress towards soil-related targets, to support research & innovation and provide a European Soil Forum dedicated to a broad user base (citizens, farmers, land planners, scientists). These features will be an important step in providing access to a huge range of soil-related data through dedicated data-streams, from biodiversity to heavy metal concentrations.

The EUSO will establish a comprehensive dashboard containing indicators that present data on soil-related issues within and, in some cases, outside of the EU. Examples of indicators i include soil erosion, soil carbon, pollutants and soil nutrients (phosphorus, nitrogen, potassium) with relevance to the new EU Soil Strategy, the Common Agricultural Policy (CAP), Zero Pollution Action Plan and Sustainable Development Goals (SDGs).

Indicators will be fed through models and operational soil monitoring systems ensuring seamless and harmonised data flows, where the LUCAS Soil programme will be fully integrated with national soil monitoring systems. s In addition to supporting the development of oil health indicators, an integrated monitoring system should also support the assessment of soil-related ecosystem services. .

Operational policy support for the policy makers and other stakeholders will be a key issue for the development of accurate soil properties assessment and specific soil management strategies and tailored suggestion to member states targeted to their farming systems. The EUSO forum was a great debate where five working groups were launched addressing key aspects in the implementation or the underpinning knowledge base of the EUSO. These included: i) soil monitoring, ii) soil biodiversity, iii) soil data sharing, iv) soil erosion and v) soil pollution.  A strong emphasis will be given to data harmonization, a specific section on data is proposed to coordinate MS efforts in providing data that need to be harmonized and out of that comprehensive statistics and maps will be delivered to the stakeholders.

The EUSO will work with EU countries to identify and present relevant national soil data, possibly using advanced web service technologies. The EUSO builds on the achievements of the European Soil Data Centre (ESDAC), which has been the thematic node for soil-related data in Europe since 2006. The EUSO aims to incorporate the legacy data stemming from EU-funded soil-related projects in order not to lose valuable, useful and usable results for the future. The EUSO will contribute to collaborate with the European Soil Partnership a regional partnership of European countries under the United Nations FAO’ Global Soil Partnership (GSP). from the EUSO aims to bring a European perspective to the many activities of the GSP in the areas of sustainable soil management, raising soil awareness, soil research and soil data collection and handling.

How to cite: Schillaci, C., Muntwyler, A., Marechal, A., Orgiazzi, A., Jones, A., Ciupagea, C., Belitrandi, D., De Medici, D., De Rosa, D., Vieira, D., Matthews, F., Martin-Jimenez, J., Koeninger, J., Liakos, L., Montanarella, L., Labouyrie, M., van Liedekerke, M., Panagos, P., Scarpa, S., and Wojda, P.: European soil observatory (EUSO) structure and perspectives, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5248, https://doi.org/10.5194/egusphere-egu22-5248, 2022.

EGU22-6301 | Presentations | SSS8.5

Land-use change impacts on ecosystem services: an overview 

Paulo Pereira, Miguel Inacio, Marius Kalinauskas, Katažyna Bogdzevič, Igor Bogunovic, and Wenwu Zhao

Land-use changes are one of the most critical drivers of change. Territorial dynamics such as urbanization, agriculture intensification and land abandonment have important implications for ecosystems and the services supplied. This work aims to overview the impacts of land-use changes on ecosystem services supply (ES). Urbanization and agriculture intensification have detrimental impacts in all regulating ES (e.g., air quality, microclimate regulation, flood regulation, carbon storage). On the other hand, the afforestation process positively impacts all the ES abovementioned. Urbanization and land consumption reduce agriculture and natural areas, key for food supply. Therefore, provisioning ES (e.g., food, fodder, water, timber) are drastically affected. Agriculture intensification may short term positive impacts on food production. However, it occurs at the expense of high soil degradation, reducing the ecosystem capacity to supply wild food, water, fodder and medicinal plants. The land abandonment process implies a decrease in the cultivable area. Therefore, it reduces the capacity of food production. Also, water supply is reduced since the afforestation process increases water consumption and evapotranspiration. However, other benefits for provisioning ES occur from soil degradation, such as increasing wild food, medicinal plants, and timber. Finally, urbanization negatively impacts most cultural ES (e.g., natural heritage, cultural heritage, landscape aesthetics). Some benefits can be positive for recreation or knowledge systems. Except for knowledge systems, agriculture intensification negatively impacts all cultural ES (e.g., recreation, natural heritage, cultural heritage, landscape aesthetics). Land abandonment has detrimental impacts on cultural heritage (e.g., loss of traditional landscapes). However, it positively impacts all other cultural ES (e.g., recreation, landscape aesthetics, knowledge systems).

Keywords: Land use, ecosystem services, afforestation, soil degradation     

Acknowledgements

This work is supported by the project A09.3.3-LMT-K-712-01-0104 Lithuanian National Ecosystem Services Assessment and Mapping (LINESAM) funded by the European Social Fund according to the activity “Improvement of researchers” qualification by implementing world-class R&D projects.

How to cite: Pereira, P., Inacio, M., Kalinauskas, M., Bogdzevič, K., Bogunovic, I., and Zhao, W.: Land-use change impacts on ecosystem services: an overview, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6301, https://doi.org/10.5194/egusphere-egu22-6301, 2022.

The legendary Mongolian Plateau has faced increasing environmental challenges associated with overgrazing during recent decades, and achieving a sustainability transition for this region needs herders’ participation.  However, why herders let grasslands be overgrazed even after property rights were privatized – “the tragedy of privatization” – remains unclear.  This study aimed to understand the underlying causes of overgrazing by examining the livestock decision-making processes by herders.  Specifically, we investigated herders’ livestock management goals, perceptions of herder-grassland systems, and livestock management strategies by semi-structured interviews in Xilingol, Inner Mongolia.  We found: (1) Herders generally recognized grassland degradation with a decreasing plant species richness and vegetation heigh;  (2) Nearly half of herders were unsatisfied with their current quality of life, especially in terms of income, food security, energy security, and clean water;  (3) Herders recognized the economic benefits and food provisioning services of the grassland, but not overgrazing as an important cause of grassland degradation; (4) Without heavy economic pressures, herders were willing to protect their own grasslands, but over-exploited leased grasslands;  (5) Herders tried to keep a high and stable level of livestock numbers without being able to anticipate climatic and economic fluctuations; and (6) The government’s Forage-Livestock Balance policy was widely resisted by herders.  We conclude that herders’ increasing aspirations for higher living standards, misperceptions about key drivers of grassland degradation, decoupling of herders’ income from grasslands, inability to cope with drought, and ineffective policies together constitute the underlying causes for overgrazing.  Future grassland policies should focus more on the “deep” leverage points of intervention, such as reducing poverty and economic inequality, improving the grassland property system, reconnecting grassland conditions to herder’s wellbeing, and equipping herders with much needed scientific knowledge to manage grasslands in a way that is both economically profitable and ecologically sustainable. 

How to cite: Fang, X. and Wu, J.: Causes of overgrazing in Inner Mongolian grasslands: Searching for deep leverage points of intervention, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6645, https://doi.org/10.5194/egusphere-egu22-6645, 2022.

Collecting soil to form ridges with no-tillage (CSNT) is an important conservation tillage method in the purple soil region of China. Although the ecosystem services it can provide in agroecosystems have been proven. While there is no systematic quantitative research on the effect of CSNT on ecosystem services. We collected 611 data entries from previous publications to quantitatively evaluate the effect of CSNT on runoff and sediment loss, soil nutrients concentration, soil bulk density, soil moisture content, aboveground biomass and belowground biomass. Compared to conventional tillage, CSNT reduced runoff and sediment loss by 49% and 73%, respectively. This is mainly due to the blocking effect of the ridge-and-furrow structure. As for soil nutrients concentration, the concentrations of soil organic carbon, total nitrogen, available nitrogen, available phosphorus and available potassium increased by 15%, 14%, 30%, 58% and 17%, respectively under CSNT compared to conventional tillage. While no significant differences were found for total phosphorus and total potassium between CSNT and conventional tillage. Soil bulk density decreased by 11% on the ridges under CSNT compared to conventional tillage, while no significant different was found in the furrows. On the ridges, CSNT did not have a significant effect on soil moisture content, while it led to an increase of 27.6% in soil moisture content in the furrows. CSNT would also increase aboveground and belowground biomass by 23% and 63%, respectively. In general, the implementation of CSNT in purple soil region of China could significantly enhance the ecosystem services in agroecosystems.

How to cite: Jia, L.: Quantification of the ecosystem services of collecting soil to form ridges with no-tillage in the purple soil region of China: A meta-analysis, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6730, https://doi.org/10.5194/egusphere-egu22-6730, 2022.

EGU22-6765 | Presentations | SSS8.5

Anthropogenic and precipitation factors affecting karst soil erosion in the Nandong Underground River System in Yunnan, Southwest China 

yanqing Li, xiangfei Yue, peng Liu, funing Lan, and yang Yu

In  karst areas, underground riverine sediment has been widely used to reflect the subterranean stream basin erosion, which influenced by both of precipitation and anthropogenic factors. In this study, 15-years of the sediment yield across Nandong underground river system of China were monitored, Mann-Kendal mutation test and simple proxy indicators were used for detecting the influences of human activities and precititation on sediment yield. The results showed that: 1) both of the anthropologic factor and rainfall impacted sediment yield, although the influence of anthropologic factor on sediment yield was greater (76.38%), and 2) rainfall showed a hysteresis effect on soil and water loss. There were three distinct stages based on the mutation points and variation characteristics of sediment yield from 1998 to 2014, resulting from different driving forces. Before 2004, the decease of sediment yield was caused by natural forest protection project in the whole basin. During 2004 to 2008, because of drought, flood disaster and cultivation on steeper slope, sediment yield of the basin increased. After 2009, sediment yield decreases due to the construction of soil conservation projects and mushrooming reservoirs. As human population is expected to increase, these findings are expected to provide insights for watershed management and ecological restoration in the fragile karst ecosystem.

How to cite: Li, Y., Yue, X., Liu, P., Lan, F., and Yu, Y.: Anthropogenic and precipitation factors affecting karst soil erosion in the Nandong Underground River System in Yunnan, Southwest China, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6765, https://doi.org/10.5194/egusphere-egu22-6765, 2022.

EGU22-6830 | Presentations | SSS8.5

Soil Conservation Service Underpins Sustainable Development Goals 

Caichun Yin, Wenwu Zhao, and Paulo Pereira

Soil conservation service (SCS), one of the vital ecosystem services, represents the ecosystem’s capacity to conserve soil and control erosion. Achieving the Sustainable Development Goals (SDGs) requires multidisciplinary efforts in which SCS plays a key role. However, the coupling analysis of SCS and the SDGs is lacking. We analysed SCS’s contribution to the SDGs by a case study in China and a global expert questionnaire and explored systematic strategies to improve SCS implementation. The results showed that i) SCS ensures the SDG achievement by mitigating soil erosion; ii) SCS showed a significant and positive relationship (coef. = 0.41, p < 0.01) with SDG 15 (Life on land) in China. Moreover, SCS supports multiple SDGs by regulating ecological processes, producing food and products, and providing social and cultural values. More than 50% of respondents recognised that SCS benefits SDG 15, SDG 13 (Climate Action), and SDG 6 (Clean water and sanitation). Finally, to be goal-oriented, we presented an SDG-holistic guiding framework to promote SCS for the SDG achievement, thus harnessing the SCS’s roles in social, economic, and eco-environmental sustainability. Altogether, our work highlights the associations between the SDGs and SCS, which is key to recognising the contribution of soils and ESs to sustainable development.

How to cite: Yin, C., Zhao, W., and Pereira, P.: Soil Conservation Service Underpins Sustainable Development Goals, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6830, https://doi.org/10.5194/egusphere-egu22-6830, 2022.

EGU22-7876 | Presentations | SSS8.5

Short-term assessment of the effect of phytostabilizing plants and management methods on the biodiversity and the mobility of trace elements in an urban wasteland in the Région Ile-de-France, France 

Clarisse Balland-Bolou-Bi, Lucie Caron, Anne Repellin, Luis Leitao, Alexandre Livet, Samir Abbad-Andaloussi, and Juliette Leymarie

Current urban development guidelines favour renewal and densification of cities, emphasizing the necessity to redevelop urban wastelands. However, many such sites are polluted with heavy metals and metalloids (TE), radionuclides, hydrocarbons. As a result, wasteland reconversion implies initial soil decontamination. The cost of servicing, depolluting and decontaminating these wastelands, using conventional soil depollution techniques is exorbitant. Thus, phytotechnology techniques offer an alternative that is more in line with sustainable development issues (Bert et al. 2012). Although the latter have been extensively studied for more than 30 years, they are still emerging on the market for the treatment of polluted sites. In addition, they raise many unanswered questions on the mobility, bioavailability and transfer of pollutants between the different compartments (soil/water/plants/microflora/fauna) over a relatively long periods of time (more than 10 years). Also,   maintenance and management practices on site during the process of depollution still are problematic, particularly the downstream usage of contaminated plant biomass.

Through the OBSOLU project (Urban Observatory for the Study of Anthropogenic Soils), the Val-de-Marne Departmental Council (CD94) wishes to evaluate new experimental approaches for the rehabilitation of an urban wasteland affected by multi-metallic pollution (La Pierre-Fitte site, Villeneuve-le-Roi, Val-de-Marne, France). The  evaluation of the dynamics of metallic trace elements (TE) in the soil-water-plant-fauna continuum is carried out on four vegetated plots (planted either with native or introduced phytostabilizing plant species (Agrostis capillaris, Festuca arundinacea, Lolium perenne)) managed according to two different methods (harvested plant biomass either left in place  or exported for composting).  The objective is to assess over several years, the mobility of TE in the soil and their infiltration to the water table, in relation with 1) the presence of native or phytostabilizing plants, mycorrhizal or not, 2) of the type of management of the harvested plant biomass and 3) the biodiversity indices at the experimental sites. Initial TE analyses revealed the presence of lead, zinc, copper and nickel in high concentrations, distributed heterogeneously over the entire experimental site. Interestingly, one year into the experiment, this high level of pollution with TE does not seem to affect the plant and arthropod populations that show good biodiversity indices, compared to other polluted sites in Ile-de-France. All introduced phytostabilizing plant species surveyed were found to be mycorrhizal and phytostabilizing for lead, nickel and to a lesser extent copper. So did certain native species, such as Solidago canadensis. Only zinc, an acknowledged mobile element, does not seem to be stabilized in the rhizosphere of the plants, either native or introduced. At this point in this five-year long experiment, a detailed analysis of the initial characteristics of the site has been established. The preliminary results indicate that phytostabilization could be limit TE dispersal in the environment, a conclusion that will be reassessed over the years.

 

Key word : metallic trace elements - phytostabilisation - urban wasteland - rehabilitation

How to cite: Balland-Bolou-Bi, C., Caron, L., Repellin, A., Leitao, L., Livet, A., Abbad-Andaloussi, S., and Leymarie, J.: Short-term assessment of the effect of phytostabilizing plants and management methods on the biodiversity and the mobility of trace elements in an urban wasteland in the Région Ile-de-France, France, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7876, https://doi.org/10.5194/egusphere-egu22-7876, 2022.

Grasslands cover a large portion of the terrestrial ecosystems, and are vital for biodiversity conservation, environmental protection and livestock husbandry. However, climate change scenarios (e.g., drought) could pose grasslands under threat seriously affecting their ecosystem services role. Ponds, an indispensable part of water storage on the grassland, could exert a key role in water supply during extreme water scarcity scenarios, controlling the cycle of water, nutrients, and sediments, supporting livestock and agricultural land production and maintaining the ecologic functions of pastures. Ponds could indeed be seen as a sustainable solution for more resilient grassland landscapes. The climate change forcing will have an impact on grassland extension and spatial distribution of ponds. On the other hand, in literature small ponds have not been satisfactorily investigated in the study of ecosystem service due to the inconformity of geographic location.

In this context, we considered the pastures located in Lessinia Regional Park (Veneto, Italy) with elevation ranging from 800 up to 1600 m asl. The climate is classified as cold with no dry season and warm summer with annual rainfall greater than 1500 mm. The area was recently listed (September 2020) in the Italian national register of historic rural landscapes by Italian Ministry of Agricultural, Food and Forestry Policies. The area is characterized by a dense distribution of ponds, supporting livestock activities. We investigated the ecosystem service role of these ponds, and their spatial patterns and fragmentation (also considering remote sensing, e.g., Sentinel-2) under different weather condition: wet and drought in Lessinia Regional Park. Our work is significant for estimating the ecosystem service value by the integration ponds benefit (e.g., visual ponds and walking ponds) with cultural service. This study will provide scientific basis for rational allocation of environmental resources, formulation of regional protection and management planning, and promotion of sustainable development of man-land relationship.

How to cite: Chen, L., Qiu, J., and Tarolli, P.: Water resources management of grasslands under climate change in the historic rural landscape of Lessinia Regional Park (Veneto, Italy), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7963, https://doi.org/10.5194/egusphere-egu22-7963, 2022.

EGU22-9187 | Presentations | SSS8.5

Response of soil moisture to rainfall reduction under different grassland species: preliminary results of a rainfall exclusion experiment under a Mediterranean climate 

Filippo Milazzo, Michele Colesanti, Ramon Leal Murillo, Jesús Fernández Habas, Pilar Fernández Rebollo, and Tom Vanwalleghem

Permanent grassland (PG) covers about 30% of the cultivated area of Europe, and 5 x 108 ha of them are in the Mediterranean zones. Climate change and prolonged drought seasons can expose PG’s soils to bare conditions for a long time, raising the land degradation risk, and diminishing food delivery to cattle. The objective of this study is to measure the response of soil moisture to a reduction in rainfall in different grass species. A rainfall exclusion experiment was set up to intercept 30% of the natural rainfall in Cordoba, Spain. Soil moisture was measured in 18 plots of 2 m2, of which 9 were under exclusion and 9 under natural rainfall. We used a Drill and Drop Sentek soil moisture probe, measuring between 0 – 30 cm depth, from 1/11/21 until 27/01/22. We also measured phenological plant response.  Average soil moisture was clearly lower in the reduced rainfall plots. These results will contribute to understand the effect of future climate on soil moisture, grass response and agricultural food security in the region. In particular, it will help farmers to select the species that best resist drought conditions.

How to cite: Milazzo, F., Colesanti, M., Leal Murillo, R., Fernández Habas, J., Fernández Rebollo, P., and Vanwalleghem, T.: Response of soil moisture to rainfall reduction under different grassland species: preliminary results of a rainfall exclusion experiment under a Mediterranean climate, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9187, https://doi.org/10.5194/egusphere-egu22-9187, 2022.

EGU22-11473 | Presentations | SSS8.5

Investigating soil quality indicators of German soils under agriculture using soil information on different spatial scales 

Annelie Säurich, Heike Gerighausen, and Markus Möller

Soils are effective storage, filter, buffer and transformation systems that remove water, nutrients and pollutants from natural sources and anthropogenic emissions. Due to the habitat, regulatory and utilisation functions, soils are most worthy of protection. Among other things, the United Nations Sustainable Development Goals aim to protect soil and stop and reverse global soil degradation. In Germany alone around 56 ha of soil are damaged partly or completely in their soil functions daily, however, there is a lack of spatially explicit resolution information on the quality of German soils and its losses.

Therefore, the objective of this study is to explore and utilize new sources of information to adapt and improve multiple existing soil quality evaluations and associated indicators. Furthermore, the SDG indicator 15.3.1 ‘Proportion of land that is degraded over total land area’ is to be supported and assessed. Here, the focus lies on land cover, including information on land use, land productivity and soil loss due to land use change, built-up areas and infrastructure expansion. A combination of basic soil, climate, and site-specific data, as well as recent land use data derived from remote sensing (Sentinel-1/2), will be used. The soil quality indicators are determined using different scales of soil data to detect and evaluate possible discrepancies as well as assets and drawbacks of the respective spatial resolution.

The soil quality assessment is based on the estimation of the performance of the landscape budget using six different soil indicators: biotic potential yield, resistance to water and wind erosion, mechanical and physico-chemical filter function and runoff regulation function. Required comprehensive soil information are obtained from three soil maps at different spatial scales: the soil map 1:50,000 of Lower Saxony and the freely available nationwide soil maps of Germany on the scale of 1:200,000 and 1:1,000,000 (BÜK200, BÜK1000). Information of the CORINE CLC 2018 (100 m x 100 m) from the Copernicus Land Monitoring Service are used for land use data. All relevant climatic data originate from the German weather survey (DWD, 1 km x 1 km) and relief parameters are derived from the digital elevation model (DEM, 10 m x 10 m). Subsequently, the high resolution soil indicators (10 m x 10 m) are aggregated with the Site Comparison Method (SICOM) to spatially display the results and identify vulnerable regions. Thereby an area-weighted comparison index is determined for a defined reference unit (e.g. municipality, county) using the area share of comparison levels per reference unit. Results of the soil quality evaluation and their influence by the soil data will be presented for the federal state of Lower Saxony.

How to cite: Säurich, A., Gerighausen, H., and Möller, M.: Investigating soil quality indicators of German soils under agriculture using soil information on different spatial scales, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11473, https://doi.org/10.5194/egusphere-egu22-11473, 2022.

EGU22-11834 | Presentations | SSS8.5

The effects of switching spatial scales on soil-based ecosystem services levels and patterns: a case study at the patch scale 

Ottone Scammacca, Pauline Choquet, Benoit Gabrielle, Ophélie Sauzet, Joel Michelin, Patricia Garnier, Philippe Baveye, and David Montagne

The ecosystem service (ES) framework can be a useful tool to support sustainable land management and policy-making through mapping and assessment tasks. Quantifying the effect of the spatial precision of input data mobilised for ES assessment and mapping is a relatively new but fundamental issue, particularly with soil data that are often unavailable or available only at very coarse resolutions. However, no studies deal with the impact of the precision of input soil data on soil related-ES assessment and mapping

This study focus on a French territory of 100 km2 and it examines the effect of increasing the spatial precision of soil data – at the 1:1,000,000, 1:250,000 and 1:50,000 scales – on the levels and the spatial patterns of four soil-related ES: the provision of biomass, the provision of water, the regulation of global climate and the regulation of water quality. The delivery of these services is finally analyzed according to multiple operational spatial units of aggregation such as municipal administrative boundaries, landforms and finally land-use and cover.

The precision of input soil data has limited impact on ES levels averaged over the whole 100 km2 territory. More precisely, the soil maps at 1: 1,000,000 and 1:250,000 scales provide accurate ES levels for areas larger than 100 and 10 km2. However, soil-supported ES are not equally sensitive to scale effects. Increasing the precision of soil data has indeed almost no impact on the water provisioning, slight impacts (around 10 %) on the regulation of water quality but impacts around 20% on the provision of biomass and the regulation of climate.

The three maps have contrastingly a strong impact on the location of the considered services with scaling effects locally reaching or even exceeding 100%. Switching spatial scales has almost no impacts on ES levels in cultivated lands localized on flat plateau positions. On the contrary, they reach around 50, 70 and 80% for the regulation of water quality, the production of biomass and the regulation of climate respectively in forested and natural lands localized on plateau edges, sloping lands and valley bottom that appear more particularly sensitive to switching scales. Forested and sloping lands indeed concentrate marginal soils showing very specific ES signatures.

Identifying the optimal representation of soil diversity to obtain a reliable representation of ES spatial distribution is not straightforward. The ES sensitivity to scale effect is indeed highly variable among individual ES, landforms, or land-uses and not directly linked with the soil diversity represented in soil maps.

 

How to cite: Scammacca, O., Choquet, P., Gabrielle, B., Sauzet, O., Michelin, J., Garnier, P., Baveye, P., and Montagne, D.: The effects of switching spatial scales on soil-based ecosystem services levels and patterns: a case study at the patch scale, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11834, https://doi.org/10.5194/egusphere-egu22-11834, 2022.

EGU22-12313 | Presentations | SSS8.5

The green, green sands of home: immersive experiences for raising soil awareness 

Karen Vancampenhout, Bas Van Der Veken, Jan Bastiaens, and Seppe Deckers

With one third of the world's fertile topsoil lost and most of the rest in a poor condition, there is no doubt that soils need more attention in society in general and in education in particular. Nevertheless, connecting people to soils in a current context of urbanisation and digitalisation is not straigtforward. We think that one of the hurdles in improving this soil connectivity is getting rid of the 'big brown blob': soils are often depicted as a dumbed-down, generic, boring brown structures even in educational graphics or pamflets. Obviously, it's difficult to get people exited about that. 

Only a very limited amount of people, often only in higher education, gets to experience what soils are actually like. In collaboration with educational experts, artists and landscape and heritage experts, we started a series of immersive educational and art projects. The concept was to spike people's interest by showing them the beauty and viariablilty of soils in landscapes, muze on their peculiarities and reflect on how the world above is influenced by what is hidden beneath. Soil monoliths, as life-like representations of actual landscapes, were combined to art installations indoors as well as in the field and coupled to the work of graphical and word artists, and how they percieve the soil. We also created digital below-ground 'tours' of how soils manifest themselves in the stories of our landscapes. In particular, our installations featuring Podzols and greensands were very popular, as they provide a quite dramatic and visually appealing spectacle that most people would not expect to find in soils. 

By immersing people into a world they usually have no access to, our goal was to evoke intrinsic interest and wonder by including them in the educational process, i.e. giving them the opportunity to do their own discoveries rather than talking to them about something they would have very little instrinsic affection to. In this contribution, we will highlight the main techniques we used and lessons we learned from the persons that contributed to visited our work. 

How to cite: Vancampenhout, K., Van Der Veken, B., Bastiaens, J., and Deckers, S.: The green, green sands of home: immersive experiences for raising soil awareness, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12313, https://doi.org/10.5194/egusphere-egu22-12313, 2022.

Soil is a natural resource providing numerous ecosystem services and provision of these services totally depends on soil health and its nutrient balance which is affected by different agricultural management practices. So it’s very important to understand the effect of these practices on soil functioning. In the present study the effect of different tillage and crop residue management practices on available soil macro and micronutrients have been evaluated.To conduct the study, two treatments of farmer’s practices have been taken. First is multiple tillage with complete burning of paddy residues (Conventional practice/T1) and second one is zero tillage with complete retention of paddy residues (Conservation practice/control).Samples were collected from two soil depths (0-5 and 5-15 cm) before and after burning of residues. Available soil phosphorous, available potassium, available SOC all were increased by 10%,14.85%, 2.4% respectively at 0-5 cm depth in after residue burning samples as compare to before burning samples whereas available soil nitrogen, available micronutrients (Cu, Zn, Mn, Ni and Fe)and microbial biomass carbon(MBC) were found to be decreased in after burning samples as compare to before burning samples at same 0-5cm depth. Available P, available SOC, MBC, available potassium all were found to be 13.89%,17.7%,6.9%and 0.5% higher in control treatment as compare to T1 however micronutrient concentrations were decreased in control. The increase in some nutrient concentration due to burning of residues may be attributed to sudden increase in ash content however decrease in some parameters like MBC may be attributed to decrease in microbial population.Also the results signifies the positive impacts of conservation practices over conventional one.

Keywords: Residue management, Tillage, Available nutrients.

How to cite: Singh, D. and Mina, Dr. U.: Comparative Assessment of Available Soil Nutrients under Different Tillage and Crop Residue Management Practices in Rice-Wheat Cropping System, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12705, https://doi.org/10.5194/egusphere-egu22-12705, 2022.

EGU22-1274 | Presentations | SSS8.7

Fifty years long soil development due to seasonal water-saturation under hydric conditions 

Zoltán Szalai, Marianna Ringer, Péter Sipos, Tibor Németh, Péter Pekker, and Gergely Jakab

Pedogenesis is considered a long-term environmental process; however, it can be accelerated by periodic water saturation (hydric conditions). The exact nature and effectiveness of hydric conditions in the intensification of soil development are not clear yet. Our understanding of the timescales of the mineralogical changes occurring in soils is limited; however, the timeframe of soil organic matter accumulation is broadly known. Here, we described soil development over a period of 50 years.

The studied soils Calcaric Mollic Gleysol (Endoarenic, Epiloamic, Hyperhumic) and a Calcaric Calcic Histic Gleysol (Endoarenic, Epiloamic) are located in a swampy meadow in Hungary, Central Europe. The start of the soil formation process is well documented here; the parent material was deposited during a major flood event in 1963. Therefore, the examined soil profile represents development over the last 50 years. We also studied the parent material of an adjacent dune as a reference. We used a CN elemental analyser to determine soil organic carbon and total bound nitrogen content. Selective extractions were also used to determine amorphous and crystalline Fe and Mn content alongside X-ray phase analysis (XRD) and transmission electron microscopy (TEM) for mineralogical analysis, X-ray fluorescence spectroscopy (XRF) for elemental analysis, and laser diffraction for particle size analysis of the bulk soil samples. Simple chemical tests were also performed in the field. Redox potential (Eh) and pH were measured by a field monitoring station.

Fifty years under hydric conditions resulted in rapid vertical differentiation within the soil profile, including remarkable soil organic matter enrichment in the topsoil and the formation of smectite and Fe accumulation in the zone of groundwater fluctuation. A high proportion of amorphous and colloidal phases indicated that very intense processes had taken place in the most intensive redox oscillation zone. The presence of more crystalline goethite in the bulk soil reflects frequent Eh changes associated with chemical or microbial processes. In contrast, the presence of amorphous ferrihydrite indicates the effect of plant roots. Permanently reductive and alkaline subsoil conditions also facilitated intense carbonate precipitation.

The presentation is based on Szalai et al. 2021 GEODERMA https://doi.org/10.1016/j.geoderma.2021.115328 and Ringer et al. 2021. HUNGEOBULL https://doi.org/10.15201/hungeobull.70.4.6.

The research was supported by the Eotvos Lorand Research Network (SA41/2021) and the Hungarian Scientific Research Fund (K123953).

How to cite: Szalai, Z., Ringer, M., Sipos, P., Németh, T., Pekker, P., and Jakab, G.: Fifty years long soil development due to seasonal water-saturation under hydric conditions, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1274, https://doi.org/10.5194/egusphere-egu22-1274, 2022.

EGU22-2567 | Presentations | SSS8.7

Explicit spatial modeling at the pore scale unravels the interplay of soil organic carbon storage and structure dynamics 

Nadja Ray, Simon Zech, Steffen Schweizer, Franziska Bucka, Ingrid Kögel-Knabner, and Alexander Prechtel

The structure of soil aggregates plays an important role for the turnover of particulate organic matter (POM) and vice versa. Analytical approaches usually do not disentangle the continuous re-organization of soil aggregates, caught between disintegration and assemblage. This led to a lack of understanding of the mechanistic relationship between aggregation and OM sequestration in soils.

In this study, we take advantage of a process-based mechanistic model that describes the interaction between the dynamic (re-)arrangement of soil aggregates, based on realistic shapes obtained by dynamic image analysis of wet-sieved aggregates, the turnover of POM, and simultaneous alteration of soil surface properties in a spatially and temporally explicit way.

We used this modeling approach to investigate the impact of the following factors for aggregation: soil texture, OM input and OM decomposition rate. Our model enabled us to quantify the temporal development of the aggregate size distribution, the amount of OC in POM fractions of different ages and the surface coverage.

The simulations provided important implications for the sequestration of OM in soils. Firstly, aggregation was largely determined by the POM input and mostly decoupled from the soil texture. Secondly, the OM storage in terms of POM increased with clay content, with both findings confirming experimental results. Thirdly, we were able to contribute to the understanding of a structural priming effect in which the increased input of POM stimulated the mineralization of old POM.

How to cite: Ray, N., Zech, S., Schweizer, S., Bucka, F., Kögel-Knabner, I., and Prechtel, A.: Explicit spatial modeling at the pore scale unravels the interplay of soil organic carbon storage and structure dynamics, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2567, https://doi.org/10.5194/egusphere-egu22-2567, 2022.

EGU22-3576 | Presentations | SSS8.7

Evaluation of no-tillage as an alternative management for the improvement of the physical condition of agricultural soils through the analysis of water retention curves. 

Alaitz Aldaz, Rafael Giménez, Iñigo Virto, Miguel Ángel Campo, and Luis Miguel Arregui

Physical degradation of agricultural soils manifests itself in different ways: decrease in infiltration rate and water storage, poor aeration and, compaction. All these symptoms have a common cause: the deterioration of the soil's natural structure due to the usual agricultural management practices.

Soil water retention curves are a valuable tool for diagnosing the physical state of the soil. Soil properties are the ones that regulate the shape of this curve, with special relevance to texture and structure. For example, changes in macroporosity –associated to soil aggregates and therefore to its structure– would be reflected in changes in the shape of this function in the low suction range.

This work evaluates no-tillage as an alternative to conventional tillage in a typical soil of Navarre (Spain), based on the analysis of soil water retention curves (SWRC).

Two plots were selected, identical in soil type and use, but contrasting in their management: (i) no-tillage (18 continuous years) after conventional tillage and (ii) conventional tillage. In both treatments, undisturbed soil samples were taken (0-5 cm). From these, SWRCs were obtained in the laboratory using the Hyprop device. Dexter’s S index was determined for each SWRC.

The S index did not show significant differences between the two treatments. However, the SWRCs present significant differences between treatments regarding pore size distribution. The tilled soil showed higher macroporosity (gravitational water). Therefore, the soil (surface horizon) under no-tillage could store ca. 10 % more water for the crop.

How to cite: Aldaz, A., Giménez, R., Virto, I., Campo, M. Á., and Arregui, L. M.: Evaluation of no-tillage as an alternative management for the improvement of the physical condition of agricultural soils through the analysis of water retention curves., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3576, https://doi.org/10.5194/egusphere-egu22-3576, 2022.

EGU22-3627 | Presentations | SSS8.7

Dissolved organic matter may induce water-stable aggregates in various soil textures 

Franziska B. Bucka, Vincent J.M.N.L. Felde, Stephan Peth, and Ingrid Kögel-Knabner

The interactions between mineral particles and soil organic matter (SOM) are an important factor for soil structure formation. Percolating dissolved organic matter (DOM) from upper soil horizons is considered an important input pathway of organic carbon (OC) into subsoils. While DOM sorption processes have been extensively studied, the effect of DOM input on soil structure formation has rarely been looked at systematically. We conducted a 30-day laboratory incubation experiment to investigate the process of DOM-induced structure formation in artificial model soils with three contrasting textures (clay loam, loam, sandy loam).

The soil texture defined the pore system and the flow characteristics of the soil solution, leading to a lower liquid retention and faster soil solution turnover in the sand-rich soils. In contrast, the OC retention was unaffected by the soil texture, indicating that only the clay minerals and iron oxides, but not the texture-defining quartz grains, contributed to the OC sorption.

The total microbial biomass, as well as the CO2-release were unaffected by the texture. In contrast, the microbial community composition showed a texture-dependent development with a higher proportion of fungi and gram-positive bacteria in the sand-rich mixtures. This suggests that texture-related architectural features of the pore space shape the microbial community composition.

It could be shown that the biochemical processing of the percolating DOM solution was sufficient to induce the formation of large macroaggregates in all textures without requiring mechanical stress or the presence of physical OM nuclei. Very low OC concentrations (< 0.8 mg g-1) could support the water-stability of the formed aggregates, although they were not sufficient to provide any meaningful stability against mechanical loads.

How to cite: Bucka, F. B., Felde, V. J. M. N. L., Peth, S., and Kögel-Knabner, I.: Dissolved organic matter may induce water-stable aggregates in various soil textures, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3627, https://doi.org/10.5194/egusphere-egu22-3627, 2022.

EGU22-4309 | Presentations | SSS8.7

An improved laser-diffraction analysis-based approach on soil aggregate stability: a new factor governing soil methane uptake 

Stijn van den Bergh, Iris Chardon, Gerard Korthals, Wietse de Boer, and Paul Bodelier

Methane (CH4) is a potent greenhouse gas contributing to climate change, with a global warming potential of 24x of CO2 on a 100-year time-frame. More importantly, the atmospheric methane concentration has been rising rapidly in the last decade. Soils are as yet the only known biological sink for atmospheric methane, but the methane uptake capacity of agricultural soils is substantially reduced when compared to native soils. This may be due to a reduction of soil organic matter and soil aggregate stability as a result of agricultural management practices. In this study, we improved a laser-diffraction analysis-based modelling of soil aggregate stability. Using data from an extensive field study, we show new relationships between soil aggregate stability, atmospheric methane uptake, and soil organic matter. The use of organic amendments like compost increases soil organic matter content, which improves soil aggregate stability, and in this study, we show that an improved soil aggregate stability enhances atmospheric soil methane uptake. These results provide new insights on the use of organic amendments like compost on agricultural soils as an atmospheric methane mitigation strategy.

How to cite: van den Bergh, S., Chardon, I., Korthals, G., de Boer, W., and Bodelier, P.: An improved laser-diffraction analysis-based approach on soil aggregate stability: a new factor governing soil methane uptake, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4309, https://doi.org/10.5194/egusphere-egu22-4309, 2022.

EGU22-5763 | Presentations | SSS8.7

Is it possible to delineate aggregates in X-ray images of intact soil samples? 

John Koestel, Jumpei Fukumasu, Gina Garland, Mats Larsbo, and David Nimblad-Svensson

Soil structure refers to the spatial arrangement of primary soil particles, their cohesion and the pores in between them. It has a fundamental impact on a variety of soil functions including carbon sequestration and water holding capacity. Researchers in this field either approach the topic by investigating the geometry of pore networks in undisturbed soil; or they instead evaluate properties of aggregates obtained from disassembling soil clods. Which of the two approaches is chosen depends on the requirements and traditions in the respective soil science discipline. There have been surprisingly little efforts undertaken to relate both viewpoints on soil structure quantitatively. In this study, we present and evaluate methods to delineate soil aggregates in eight X-ray images of undisturbed soil samples. The approaches exploit crack formation upon shrinkage in drying soil. Comparing the image-derived aggregates to results from drop-shatter tests, we observed promising trends but overall, the results remained inconclusive. On the one hand, this was due to the very small number of studied samples. On the other hand, the presented aggregate delineation approaches have potential for improvement. We suggest to develop this line of research and apply it to larger numbers of samples, different scales and different physical aggregate isolation approaches, like dry and wet sieving. For example, it may be evaluated whether microaggregates are identifiable in still intact macroaggregates.

How to cite: Koestel, J., Fukumasu, J., Garland, G., Larsbo, M., and Nimblad-Svensson, D.: Is it possible to delineate aggregates in X-ray images of intact soil samples?, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5763, https://doi.org/10.5194/egusphere-egu22-5763, 2022.

Natural permeable media like soils, sediments, but also rocks, provide niches of different quality for the inhabitation by a diversity of organisms and communities. The locations for colonization are the microstructured, frequently hierarchic organized heterogeneous biogeochemical interfaces (BGI) that evolve during weathering and pedogenesis. These BGIs are built from a vast variety of organic and inorganic materials and organisms and become manifest as crusts or (micro)aggregates that frame the void network and connect to the liquid and gaseous phases. Microaggregates, operationally defined as composite, microporous, and themselves already heterogeneous composite structures smaller than <250µm, are supposed to be fundamental structural components, because of their stability, persistence, ubiquitous presence, and growing fraction during weathering and pedogenesis. Although research on structure development and fluid-solid interaction in permeable media is an important, exciting and competitive field of soil science, in particular the co-evolution of structure and function due to the interplay of the multitude of biochemical and biophysical processes in view of the properties, functions and resilience of soils has yet to be unravelled. By now, it is well accepted that such and endeavour requires integration of soil physical, chemical, and biological disciplines and demands the development and application of joint advanced characterization and probing techniques including molecular biology within a multi- and inter-disciplinary research approach. Within the framework of the research unit 2179 “Microaggregate development and turnover in soil” and its preceding priority research program 1315 “Biogeochemical Interfaces in Soil”, collaborative research has been put in action that aim at the systematic characterization and functional exploration of aggregates structures and the associated BGI. The presentation will give a compact introduction on the propositions, concepts, and challenges of this exciting research field that aims to contribute to a fundamental understanding of the basics of the co-evolution of architecture and function and the consequences for soil based ecosystem services, and resilience of soils.

How to cite: Totsche, K. U.: Co-Evolution of Structure and Heterogeneity in Natural Permeable Media: The Emergence of Niche-Diversity and Functions During Weathering and Pedogenesis, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5800, https://doi.org/10.5194/egusphere-egu22-5800, 2022.

EGU22-7088 | Presentations | SSS8.7

Freeze-thaw cycles shape building units for soil microaggregate formation: Experiments with mineral and organic model substances 

Stefan Dultz, Myriam Speth, Alexander Fechner, Klaus Kaiser, Robert Mikutta, and Georg Guggenberger

The observation of platy-shaped composite building units in soil microaggregates of temperate soils suggests exposure to repeated freeze-thaw cycles. Upon soil freezing, soil solution components escape from growing ice by Brownian motion. When the remaining liquid freezes, particle shapes are defined by the sub-grain boundaries of the ice crystals. The role of solution chemistry and the number of freeze-thaw cycles (FTCs) on size, shape, and stability of composite particles formed is poorly understood. Illite, goethite, cell envelopes, and tannic acid were used as model substances and individually exposed to up to 20 FTCs. Model compounds were used at concentrations of 0.005 to 10 g L−1 with and without background electrolytes (NaCl, CaCl2, AlCl3); freezing was delayed (0 °C was reached after 1.5 h) for slow growth of ice crystals. After freeze-drying of ice columns, size and shape of the composite particles formed by ice exclusion were analyzed by confocal laser scanning microscopy. Particles were sized according to the equivalent circle diameter (ECD) and their shape classified into different categories. In the thawed suspensions, particle size was determined by the hydrodynamic diameter (HD) obtained with dynamic light scattering. Shapes of the composite particles formed in the freezing experiments were similar for all model substances, with a morphology resembling ice surfaces, typically with layers and veins from two- and three-grain boundaries, respectively. At high concentrations, larger particles (ECDs >10 µm) with platy morphology were formed, due to thicker and more filled sub-grain boundaries. The smaller HD values in thawed suspensions, especially for cell envelopes, revealed that composite particles were prone to dispersion. Sizes of illite and tannin composite particles formed by freezing at low concentrations were smaller (ECD <6 µm) than at high concentrations, but in the thawed suspended state, the HD of particles was larger than of those formed at high concentrations. Obviously, the freeze-concentration effect is most intense at low particle concentrations, likely due to formation of larger ice crystals and higher crystallization pressures. An increasing number of FTCs amplified this effect. Low pH values of 3 and the presence of electrolytes resulted in a considerable increase in the ECD of tannin particles. In contrast, this effect was not traceable in suspension after thawing and HDs were very similar for pH 3 and 6. The observed effects on particle formation upon freezing are potentially stronger under natural soil conditions as freezing is slower, favoring a more intense freeze-concentration effect. We conclude that freeze-thaw cycles can significantly modify the architecture of soil microaggregates by shaping their building units, with possible consequences for other soil functions like C retention and availability.

How to cite: Dultz, S., Speth, M., Fechner, A., Kaiser, K., Mikutta, R., and Guggenberger, G.: Freeze-thaw cycles shape building units for soil microaggregate formation: Experiments with mineral and organic model substances, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7088, https://doi.org/10.5194/egusphere-egu22-7088, 2022.

EGU22-7716 | Presentations | SSS8.7

Exploring the resilience and resistance of soil against hydraulic and osmotic stress in unsaturated column experiments 

Tom Guhra, Léon Van Overloop, Thomas Ritschel, and Kai Uwe Totsche

Sudden or extreme changes in the hydraulic and chemical conditions severely alter water flow and chemical interactions in soil. In response, this may cause an internal erosion of pore space as soil constituents are disaggregated, released and transported, which ultimately even shapes soil horizons. The resilience and resistance of soils against hydraulic and osmotic stress determines their susceptibility to internal erosion. However, the impact of single stress events cannot be observed in field experiments due to a multitude of parallel processes and boundary conditions that change simultaneously. In contrast, unsaturated column experiments using undisturbed soil monoliths offer close-to-natural packing conditions while at the same time providing full control over the boundary conditions.

To investigate how susceptible soils are for internal erosion and thus to the release of (in-)organic soil constituents, unsaturated column experiments were performed with undisturbed topsoil monoliths of a Luvisol and a Regosol formed on loess. Hydraulic and osmotic stress events were simulated by irrigation sequences with two drainage events (desiccation; hydraulic stress), two flow interrupts (ponding; hydraulic stress), and two tracer applications (osmotic stress).

After each stress event, an increase in particle concentration was measured in the effluent, most pronounced when the ionic strength of the influent decreases after the tracer breakthrough. Likewise, the release of soil organic matter (OM) responds predominantly to osmotic stress events and OM fluorescence points to the release of plant derived and microbial processed OM. Moreover, the application of X-ray µ-CT imaging on soil monoliths revealed the alteration of soil structure during the experiment. Especially, the position of secondary carbonates and macropores were identified as useful reference points to reveal structural changes such as pore refilling and soil compaction. In this way, we were able to show how the evolution of soil structure in response to the transport of (in-)organic soil constituents relates to specific hydraulic and osmotic events.

How to cite: Guhra, T., Van Overloop, L., Ritschel, T., and Totsche, K. U.: Exploring the resilience and resistance of soil against hydraulic and osmotic stress in unsaturated column experiments, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7716, https://doi.org/10.5194/egusphere-egu22-7716, 2022.

Soil aggregation and the translocation of clay as well as organic matter are major processes of pedogenesis that manifest in the diagnostic soil horizons of mature soil. Yet, their onset might date to much earlier stages of soil development where host rock weathering is dominant and litter from pioneer vegetation is the only input of organic matter. To what extent aggregate formation is induced by early weathering and how clay transport facilitates aggregation is not yet comprehensively explored. Here, we present a time-lapse experiment on initial pedogenesis that reveals the formation of aggregates and clay translocation in response to irrigation with and without organic matter released from a litter layer. We show how organic matter increases total carbonate dissolution capacity with a characteristic surface morphology, but simultaneously slows down the dissolution rate. With the dissolution of carbonates, clay minerals of the host rock and iron from pyrite are released. Controlled by the presence of organic matter, both are either transported with the seepage water or form crusts and aggregates from clay minerals and freshly precipitated secondary iron oxides. The translocation and aggregation of organic matter and clay-sized minerals therefore shape soil structure already during initial pedogenesis and control the route in which soil development becomes apparent. 

How to cite: Ritschel, T., Aehnelt, M., and Totsche, K.: The evolution of early soil microstructure is governed by organic matter and its impact on the weathering rates of host rock, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8359, https://doi.org/10.5194/egusphere-egu22-8359, 2022.

EGU22-8486 | Presentations | SSS8.7

Arbuscular mycorrhizal fungi foster carbon and nitrogen storage in soil microaggregates even under drought conditions 

Anna Holmer, Robin Gineyts, Julien Guigue, Tian Zeng, Franziska Bucka, Tino Colombi, Tina Köhler, Caroline Gutjahr, Carsten W. Mueller, and Alix Vidal

Soil organisms such as arbuscular mycorrhizal fungi (AMF) and the roots they inhabit are key actors for shaping soil structure, which fosters a multitude of functions such as carbon storage and water availability. The expansion of AMF external hyphae, by being in direct contact with soil particles, can promote soil structure formation and thus induce a positive feedback on plant growth under unfavorable conditions such as drought.

Here, we aim at disentangling the complexity of the root-AMF-soil interface by partitioning the respective effects of AMF, of root, and of their interaction on soil structure formation and organic matter cycling, under both drought and well-watered conditions. To discriminate the effects of plant and AMF, we used the wild-type and two mutants of the plant species Lotus japonicus that cannot be properly colonized by AMF (ccamk and ram2-2). The mutant ccamk impairs root entry by the fungus and ram2-2 causes impaired arbuscule development. To exclude confounding factors, we used an artificial soil mixture (quartz, illite, goethite; loamy texture) that was free of microorganisms and native organic matter. The wild type and the mutants were grown in this substrate during a 60-day incubation in a climate chamber. Half of the mesocosms were inoculated with spores of the AMF Rhizophagus irregularis. We stopped the watering two weeks before the end of the experiment in half of the cylinders to create drought conditions. At the end, roots and shoots were sampled and the rhizosphere soil was separated from the non-rhizosphere soil. We analyzed root architecture, AMF traits (intraradical colonization, hyphae length), as well as aggregate distribution and their organic carbon and nitrogen contents in the rhizosphere soil.

Our results highlight the major role of AMF in promoting plant growth, with an increase of above-ground biomass, total root length and root surface area in the soil colonized with AMF, regardless of the water conditions. While plant root vigor (biomass, length, surface area) is reduced under drought conditions, the AMF are resistant to drought, with unchanged mycorrhization intensity and hyphae length in the soil that received less water. Under well-watered conditions, we quantified a higher share of macroaggregates. While AMF did not significantly affect soil structure formation, the presence of fungal hyphae resulted in an increase of carbon and nitrogen contribution of microaggregates in the rhizosphere soil. We are thus able to demonstrate that irrespective of soil water availability, AMF foster the vigor of the host plant. Furthermore, the expansion of AMF into soil, leading to higher carbon and nitrogen storage in rhizosphere soil microaggregates, is not dependent of soil moisture conditions.

How to cite: Holmer, A., Gineyts, R., Guigue, J., Zeng, T., Bucka, F., Colombi, T., Köhler, T., Gutjahr, C., Mueller, C. W., and Vidal, A.: Arbuscular mycorrhizal fungi foster carbon and nitrogen storage in soil microaggregates even under drought conditions, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8486, https://doi.org/10.5194/egusphere-egu22-8486, 2022.

Soil aggregation is a key element of soil structure, providing a range of micro-niches for soil-borne microorganisms and creating fine-scale heterogeneity in physical and chemical properties. Soil microorganisms drive a range of critical terrestrial ecosystem functions. The importance of understanding the impact of soil aggregates on microbiome assembly and function is increasingly becoming appreciated. In this study, we used a long-term tomato monoculture field as a model system to investigate the impact of soil aggregates on bacterial community assembly and inhibition of the pathogen Ralstonia solanacearum. Samples were collected after harvest from experimental fields with either no fertilizer (CK), chemical fertilizer (CF), organic fertilizer (BF) or a bio-organic fertilizer (BF) and separated into categories of soil aggregates (e.g. <0.25 mm, 0.25-1 mm, 1-2 mm, >2 mm) by a wet-sieving method. Bacterial community composition was found to differ significantly across aggregate fractions, and bacterial communities from larger aggregate fractions exhibited a higher degree of phylogenetic clustering. Furthermore, we found that soil aggregate size classes differed in the relative importance of deterministic versus stochastic processes Fields with different fertilization differ in soil aggregates distribution and disease suppression. Fields with organic inputs (OF, BF) had a higher abundance of large macro-aggregates and fewer micro-aggregates than inorganic input treatments (CK, CF). Meanwhile, disease incidences were lowest in BF, then increasing in OF, CF and CK, orderly. Interestingly, only relative density of R. solanacearum in micro-aggregates was positively correlated with disease. Furthermore, in experiments involving inoculation of R. solanacearum into aggregate size fractions recovered from field samples, only micro-aggregates (<0.25 mm) from the low disease incidence soil (BF) showed significantly higher resistance against pathogen invasion as compared to the high disease incidence soil (CF). In summary, under agricultural practice, soil aggregates can mediate the ecological assembly processes of bacterial communities, thereby influences the suppression of bacterial wilt disease. Soil structure and aggregation should therefore be considered in strategies to improve soil-borne resistance to plant pathogens.

How to cite: Dong, M.: Soil aggregation impacts bacterial community assembly and suppression of Ralstonia disease in tomato, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9700, https://doi.org/10.5194/egusphere-egu22-9700, 2022.

EGU22-11761 | Presentations | SSS8.7

Water dispersible colloids associated organic carbon along an alluvial fan transect in a hyper-arid region of the Atacama Desert 

Xiaolei Sun, Ni Tang, Bárbara Fuentes, Ghazal Moradi, Wenqin Huang, Qian Zhang, Daniel Contreras, Franko Arenas, Simon Matthias May, Nina Sibers, Wulf Amelung, Roland Bol, and Erwin Klumpp

Organic carbon (OC) in the hyper-arid Atacama Desert soils is known to be extremely low (0.1-0.01%). OC can accumulate on soil colloids (1-1000 nm) and nanoparticles (1-100 nm) due to its high specific surface area. Small-sized colloids may be transferred to deeper depth through the macropores in the soil. However, little is known about the colloidal-OC soil transfer under hyper-arid conditions. In this study, the Water Dispersible Colloids (WDCs, <300 nm) associated OC (WDC-OC) was analyzed using Asymmetric Field-Flow-Field Fractionation (AF4) coupled online to an Organic Carbon Detector (OCD). The experimental site is located at 1450 m altitude near Paposo (Antofagasta region, Chile) and receives <2 mm rain per annum. Samples were taken at 13 points along an alluvial fan transect, and up to a depth of 50-80 cm. Our study examined the vertical distribution of WDC-OC affected by micro-relief. Three colloidal size fractions were identified in all samples: nano-colloids (0.6-24 nm), fine colloids (24-210 nm) and medium colloids (210-300 nm). The vertical contribution of WDC-OC differed distinctively between (i) the active alluvial fan section, (ii) the older inactive alluvial fan section, related to sediment induration and soil crust development, and (iii) the edge between both fan sections. We found that WDC-OC was highest in the active fan with an average of 11.5 mg OC kg-1 compared with the content found in crust-related older fan (0.24 mg OC kg-1) or at the edge between the fan sections (0.19 mg OC kg-1). Notably high WDC-OC in the fan near to the few isolated plant remains were also observed. The increase of biological activities and debris near to the plant contributes to more colloidal-OC (26.8 mg kg-1). The relatively flat hard impermeable surface of the crust-related old fan section may induce colloids loss during high-intensity rainfalls, e.g. occurring during past El Niño periods. Furthermore, the relative percentage of WDC-OC as a part of the total was highest in the upper layer (0-1 cm) of the active fan (27-48%) and at the edge (69%), while in the older crust-related sections the highest values were observed in the subsurface (5-10 cm) (19%-29%). Near the plant remains, nano-colloids were dominated in the upper soil accounting for 48% of the WDC-OC, whereas medium colloids were predominant in the older crust-related sections (64%). Dust (colloidal-sized) particles may be deposited at the surface and then are easily trapped near plants. We conclude that WDC-OC depth profiles within the hyper-arid Atacama Desert reflects the differential surface characteristics and the age of the fan surface, i.e., the period of geomorphological inactivity. During the extremely rare rainfall events in the Atacama, both factors will lead to differential infiltration rates, which thus in turn affect the size distribution of colloidal-OC with profile depth.

How to cite: Sun, X., Tang, N., Fuentes, B., Moradi, G., Huang, W., Zhang, Q., Contreras, D., Arenas, F., May, S. M., Sibers, N., Amelung, W., Bol, R., and Klumpp, E.: Water dispersible colloids associated organic carbon along an alluvial fan transect in a hyper-arid region of the Atacama Desert, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11761, https://doi.org/10.5194/egusphere-egu22-11761, 2022.

Earth system models (ESMs) are state-of-the-art models which integrate previously separate models of the ocean, atmosphere and vegetation in one comprehensive modelling system enabling the investigation of interactive feedbacks between different components of the Earth system. Global isoprene and monoterpene emissions from terrestrial vegetation, which represents the most important source of VOCs in the Earth system, are needed for a suitable representation in global and regional chemical transport models given their impacts on the atmosphere. Consequently, to accurately determine the budget of isoprene and monoterpenes in the atmosphere, adequate emissions from the terrestrial vegetation are a requirement for input into regional and global scale chemistry-transport or chemistry-climate models. Due to the feedbacks of vegetation activity involving interactions with the weather and climate, a coupled modelling system between vegetation and atmospheric chemistry is a recommended tool to address the fate of biogenic volatile organic compounds (bVOCs). In this work, we present further development in linking LPJ-GUESS, a global dynamic vegetation model, to the atmospheric chemistry-enabled atmosphere-ocean general circulation model EMAC. We evaluate terrestrial bVOC emission estimates from the submodel ONEMIS in EMAC with (1) prescribed climatological vegetation boundary conditions at the land-atmosphere interface; and (2) dynamic vegetation states calculated in LPJ-GUESS (replacing the “offline” vegetation inputs). LPJ-GUESS-driven global emission estimates for isoprene and monoterpenes were found to be 599 Tg yr−1 and 111 Tg yr−1, respectively. Additionally, we evaluated the sensitivity of the new coupled system in doubling CO2 scenarios. Higher temperatures resulted in an increase in bVOC emissions (+47% and +69% for isoprene and monoterpenes, respectively), whereas CO2-fertilisation resulted in an increase of 18% in isoprene emissions and 37% in monoterpene emissions. We provide evidence that the new coupled model yields suitable estimates for global bVOC emissions that are responsive to vegetation dynamics, thus enabling further research in land-biosphere-atmosphere interactions.

How to cite: Vella, R., Forrest, M., Lelieveld, J., and Tost, H.: Incorporating vegetation dynamics for terrestrial isoprene and monoterpene emission estimates: Linking LPJ-GUESS (v4.0) with the EMAC modelling system (v2.54), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-914, https://doi.org/10.5194/egusphere-egu22-914, 2022.

EGU22-2432 | Presentations | BG3.3

Analysis of the dependency of atmospheric formaldehyde - as a proxy for bVOC emissions - on vegetation status over a Central European city and potential implications for surface ozone exceedances 

Heidelinde Trimmel, Monika Mayer, Stefan Schreier, Christian Schmidt, Ramiro Checa-Garcia, Josef Eitzinger, Anne Charlott Fitzky, Thomas Karl, Peter Huszár, Jan Karlický, Paul Hamer, Philipp Koehler, and Christian Frankenberg

In the city centre of Vienna, Austria ozone (maximum 8 hour mean) mda8 exceedances of the threshold value of 120 μg/m³ can occur from as early as March until September, which coincides with the main local vegetation season. Biogenic volatile organic compounds (bVOCs), which are mainly emitted by forests, but also other vegetation as agricultural field crops and are precursor substances to atmospheric formaldehyde (HCHO). Thereby they contribute to the production of ozone in and around the city. On the other hand, vegetated areas reduce the ozone concentration by uptake via stomatal and cuticular pathways and soil uptake.

In this study the dependency of HCHO mixing ratios, obtained from path averaged MAX-DOAS UV retrievals over the Vienna city centre, on meteorological parameters (air temperature, global radiation, boundary layer height) and vegetation drought stress indicators are analysed, focusing on the difference between drought and non-drought conditions. Following indicators are used: standardized precipitation index (SPI), relative soil saturation from the Agricultural Risk Information System (ARIS), vapour pressure deficit and satellite-based photosynthetically active radiation anomaly (fAPAR) as well as solar-induced chlorophyll fluorescence (SIF).

A clear dependency of the HCHO on vegetation-related parameters and the area of origin of HCHO and its precursor substances is found. However, the strength of the relationship between the parameters changes depending on the vegetation status. The results of the observational HCHO analyses spanning 2017-2021 are compared with bVOCs estimates of the Model of Emissions of Gases and Aerosols from Nature (MEGAN). The observed ozone concentrations are compared with the ozone mixing ratios and dry deposition rates calculated by the chemical transport model developed at Meteorological Synthesizing Centre-West within the European Monitoring and Evaluation Program (EMEP MSC-W model), which includes the Deposition of Ozone for Stomatal Exchange (DO3SE) model, to better understand timing and magnitudes of sources and sinks. Possible consequences for exceedances of the mda8 ozone target value in the study region are discussed.

How to cite: Trimmel, H., Mayer, M., Schreier, S., Schmidt, C., Checa-Garcia, R., Eitzinger, J., Fitzky, A. C., Karl, T., Huszár, P., Karlický, J., Hamer, P., Koehler, P., and Frankenberg, C.: Analysis of the dependency of atmospheric formaldehyde - as a proxy for bVOC emissions - on vegetation status over a Central European city and potential implications for surface ozone exceedances, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2432, https://doi.org/10.5194/egusphere-egu22-2432, 2022.

EGU22-3481 | Presentations | BG3.3

Volatile carbon emissions from a degrading permafrost peatland 

Yi Jiao, Cleo Davie-Martin, Magnus Kramshøj, Casper Christiansen, Hanna Lee, Inge Althuizen, and Riikka Rinnan

Permafrost in the north Polar Regions stores more than 1,500 Pg of organic carbon, which is nearly twice as much as the atmospheric carbon pool. As the Arctic region is experiencing unprecedented warming, accelerated decomposition in permafrost is potentially switching it to a hotspot of carbon emissions. In addition to the widely studies carbon dioxide and methane, permafrost may also be a source of biogenic volatile organic compounds (BVOCs), a reactive group of trace gases which have so far received much less attention. BVOCs can prolong the lifetime of methane through the depletion of hydroxyl radicals, contribute to ozone formation, and lead to the formation of secondary organic aerosol, and thus exert significant impact on climate forcing, especially in unpolluted Arctic region.

Here, we conducted in situ measurements of soil BVOC emissions on an actively degrading permafrost peatland during a growing season. We compared emissions along a gradient of landscape units from soil palsa and vegetated palsa to thaw slump, thaw pond and vegetated thaw pond. BVOC samples were collected onto absorbent cartridges using dynamic enclosure chamber method, and then analyzed with a gas chromatograph coupled with a mass spectrometer (GC/MS), based upon which the emission rates were calculated.

Results suggested that all landscapes units across the peatland showed net emissions of BVOCs during the summertime. Major BVOC groups included monoterpenes, sesquiterpenes, isoprene, hydrocarbons, methanol, acetone, other oxygenated VOCs and other compounds, and these groups were present in all landscape units. All VOC groups also exhibited seasonal and spatial variations across the different sampling months and landscape units. For example, the actively degrading thaw slump showed higher monoterpene emissions that other landscape units, while sesquiterpene emissions were highest from the vegetated thaw ponds. Principal component analysis further revealed temporal and spatial patterns in the relative compositions of the BVOC profiles. Our results show that soil BVOC emissions change in response to active permafrost thaw.

How to cite: Jiao, Y., Davie-Martin, C., Kramshøj, M., Christiansen, C., Lee, H., Althuizen, I., and Rinnan, R.: Volatile carbon emissions from a degrading permafrost peatland, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3481, https://doi.org/10.5194/egusphere-egu22-3481, 2022.

EGU22-4844 | Presentations | BG3.3

Diversity and interrelations among the constitutive BVOC emission blends and changes during salt and drought stress of four broad-leaved tree species at seedling stage 

Anne Fitzky, Arianna Peron, Lisa Kaser, Thomas Karl, Martin Graus, Danny Tholen, Mario Pesendorfer, Maha Mahmoud, Heidelinde Trimmel, Heidrun Halbwirth, Hans Sandén, and Boris Rewald

Biogenic volatile organic compounds (BVOCs) emitted by plants consist of a broad range of gasses which serve purposes such as protecting against herbivores, communicating with insects and neighboring plants, or increasing the tolerance to environmental stresses. Evidence is accumulating that the composition of BVOC blends plays an important role in fulfilling these purposes. Constitutional emissions give insight into species-specific stress tolerance potentials and are an important first step in linking metabolism and function of co-occurring BVOCs. Here, we investigate the blend composition and interrelations among co-emitted BVOCs in unstressed and drought- and salt stressed seedlings of four broad-leaved tree species, Quercus robur, Fagus sylvatica, Betula pendula, and Carpinus betulus. BVOCs of Q. robur and F. sylvatica were mainly isoprene and monoterpenes, respectively. B. pendula had relatively high sesquiterpene emission; however, it made up only 1.7% of its total emissions while the VOC spectrum was dominated by methanol (∼72%). C. betulus was emitting methanol and monoterpenes in similar amounts compared to other species, casting doubt on its frequent classification as a close-to-zero VOC emitter. Under drought and salt stress the main emitted BVOCs of F. sylvatica and B. pendula slightly decreased, whereas an increase was observed for Q. robur and C. betulus. Beside these major BVOCs, a total of 22 BVOCs could be identified, with emission rates and blend compositions varying drastically between species and treatments. Principal component analyses among species and treatments revealed co-release of multiple compounds. In particular, new links between pathways and catabolites were indicated, e.g., correlated emission rates of methanol, sesquiterpenes (MVA pathway), and green leaf volatiles (hexanal, hexenyl acetate, and hexenal; LOX pathway) during unstressed conditions. Drought stress led to a decrease of all BVOC emissions except for a slight increase of isoprene emissions of Q. robur, which might be due to decoupling from the photosynthesis and led to emptying C storages. Hexenyl acetate (LOX) follows the same pattern as isoprene but might have decreased due to a long droughting period. Salt stress led to an increase of LOX-related BVOCs, and acetaldehyde which supports the hypothesis that acetaldehyde emissions are linked to the oxidation of C18 fatty acids of cell membranes. Our results thus indicate that certain BVOC emissions are highly interrelated, pointing toward the importance to improve our understanding of BVOC blends rather than targeting dominant BVOCs only.

How to cite: Fitzky, A., Peron, A., Kaser, L., Karl, T., Graus, M., Tholen, D., Pesendorfer, M., Mahmoud, M., Trimmel, H., Halbwirth, H., Sandén, H., and Rewald, B.: Diversity and interrelations among the constitutive BVOC emission blends and changes during salt and drought stress of four broad-leaved tree species at seedling stage, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4844, https://doi.org/10.5194/egusphere-egu22-4844, 2022.

EGU22-6044 | Presentations | BG3.3

Rhizosphere of grassland plants: A hot spot of methanol consumption driven by unusual methylotrophs 

Saranya Kanukollu, Rainer Remus, Alexander Martin Rücker, and Steffen Kolb

Managed grasslands are global sources of atmospheric methanol, which is one of the most abundant biogenic volatile organic compounds (bVOCs) in the atmosphere and promotes oxidative capacity for tropospheric and stratospheric ozone depletion. The phyllosphere is a favoured habitat of plant-colonizing methanol-utilizing methylotrophs, but their quantitative relevance for methanol consumption and ecosystem fluxes in the rhizosphere is unclear. Methanol utilizers of the plant-associated microbiota are key for the mitigation of methanol emission through consumption. However, information on grassland plant methylotrophs, their biodiversity and, metabolic traits, and thus key actors in the global methanol budget is largely lacking.

Two common plant species (Festuca arundinacea, Taraxacum officinale) of a grassland were investigated in pot experiments using soil as a growth substrate. We used radiotracers (14C-methanol) to evaluate potential methanol oxidation rates and 13C-methanol RNA stable isotope probing (SIP) and metagenomes to identify methanol utilizers.

Intact plants unveiled different methanol utilizer communities between plant compartments (phyllosphere, roots, and rhizosphere) but not between plant host species. Methanol utilizers of Gamma- and Betaproteobacteria colonized the phyllosphere. Whereas,Deltaproteobacteria, Gemmatimonadates, and Verrucomicrobiae were predominant in the rhizosphere. Metagenome assembled genomes (MAGs) revealed bacterial methanol dehydrogenases of known but also unexpected genera, such as Methylomirabilis, Methylooceanibacter, Gemmatimonas, and Verminephrobacter. Divergent methanol oxidation rates in both plant species but similarly high rates in the rhizosphere and phyllosphere were determined by 14C-methanol tracing of alive plant material.

Our study revealed eventually the rhizosphere as a hotspot for methanol consumption in grasslands. Differences between the methanol utilizer communities of the two plant species were not evident suggesting a negligible host effect. Our results suggest a model for methanol turnover in which both the sources (plants) and sinks (microbiota) of a bVOC are separated but in the same ecological unit.

How to cite: Kanukollu, S., Remus, R., Rücker, A. M., and Kolb, S.: Rhizosphere of grassland plants: A hot spot of methanol consumption driven by unusual methylotrophs, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6044, https://doi.org/10.5194/egusphere-egu22-6044, 2022.

EGU22-6138 | Presentations | BG3.3

Iron catalysed formation of methyl radicals as a common source of environmentally important volatile carbon compounds 

Jonas Hädeler, Rebekka Lauer, Velmurugan Gunasekaran, Kirsten Rheinberger, Peter Comba, and Frank Keppler

Organic and inorganic volatile compounds containing one or two carbon atoms (C1, C2), such as carbon dioxide, methane, methanol, formaldehyde, carbon monoxide, chloromethane, formic acid, acetic acid, ethane and ethene are ubiquitous in the environment and play an important role in atmospheric physics and chemistry as they act as greenhouse gases, destroy stratospheric and tropospheric ozone and control the atmospheric oxidation capacity. Furthermore, these compounds play an important role in global carbon cycling. Up to now, most C1 and C2 compounds in the environment were associated to complex metabolic and enzymatic pathways in organisms or combustion processes of biomass. So far, it was not recognized that many C1 and C2 compounds in the geobiosphere might also have a common origin in methyl groups from methyl-substituted substrates that are cleaved by the iron-catalysed formation of methyl radicals.

We performed a set of laboratory experiments containing methyl-substituted substances, an iron species (e.g. hematite, ferrihydrite or bispidine-iron complexes for the better understanding of the mechanism), H2O2 for the activation of the iron species and ascorbic acid as a radical scavenger. The experiments were conducted under ambient conditions (atmospheric pressure and 22°C) and variable parameters such as pH value, substrate concentration and O2 saturation.

We show that a range of organic and inorganic C1 and C2 compounds can be produced by environmentally important methyl-substituted substances such as dimethyl sulfoxide (DMSO), methionine, choline, trimethylamine, synapyl alcohol (lignin component) and galacturonic acid methyl ester (pectin component). Applying isotopically labelled (2H/13C) methyl groups from DMSO and methionine we unambiguously demonstrate that labelled methane, ethane, methanol, formaldehyde and acetic acid are produced from methyl-substituted substances.

Based on our preliminary results we hypothesise that formation of methyl radicals by abiotic and possibly also by biochemical processes is ubiquitous in the environment with various heteroatom-methylated substrates. We propose that by generating methyl radicals formation of the entire set of C1 compounds with carbon oxidation states of -IV to +IV but also formation of C2 compounds is possible. The relative amounts of the formed individual C1 species might depend on the redox milieu and biogeochemical conditions such as the availability of methyl radical donors, iron species, pH, O2 concentration and possibly a range of other parameters.  To thoroughly understand, the chemistry behind these processes and to verify mechanistic scenarios, we also performed computational modeling based on density functional theory and ab-initio quantum-chemical studies.

The investigated methyl moieties are ubiquitous in the terrestrial and marine biosphere. Thus, for future studies we will put our assembled knowledge into practice and study these reactions in water and soil samples collected from the field.

How to cite: Hädeler, J., Lauer, R., Gunasekaran, V., Rheinberger, K., Comba, P., and Keppler, F.: Iron catalysed formation of methyl radicals as a common source of environmentally important volatile carbon compounds, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6138, https://doi.org/10.5194/egusphere-egu22-6138, 2022.

EGU22-6938 | Presentations | BG3.3

Eddy covariance measurements reveal high emissions of terpenes from a boreal fen 

Lejish Vettikkat, Pasi Miettinen, Angela Buchholz, Pekka Rantala, Hao Yu, Simon Schallhart, and Siegfried Schobesberger

Wetlands are well-known for their high emissions of methane to the atmosphere, but emissions of volatile organic compounds (VOCs) are also reported from wetlands. Wetlands cover about 2 % of the total land surface area and most of these wetlands are found in the boreal and tundra regions. A class of compounds called terpenes that include isoprene, monoterpenes, sesquiterpenes, and diterpenes make up 80% of the global biogenic volatile organic compound (BVOC) emissions. These compounds are highly reactive towards oxidants like ozone (O3), hydroxyl radicals (OH), and nitrate radicals (NO3) and form secondary organic aerosols in the atmosphere. Hence, quantifying the BVOC emissions accurately is crucial in determining the organic aerosol budget and constraining their contribution to climate-relevant processes such as new-particle formation and cloud formation.

In this study we performed ecosystem scale eddy covariance (EC) measurements of BVOCs and their oxidation products at Siikaneva, a southern Finnish boreal wetland (61o48' N, 24o09' E, 160 m a.s.l.), from 19th May 2021 to 28th June 2021 using a Vocus-proton transfer reaction mass spectrometer (Vocus-PTR) co-located with a sonic anemometer (METEK USA-1) at 10 Hz.  BVOCs were sampled from a platform, 2.5 m above the wetland using a high flow main inlet (5000 lpm), with core sampling of 5 lpm into the Vocus-PTR, which substantially reduced the wall losses of less volatile compounds such as sesquiterpenes, diterpenes, and oxygenated VOCs. The EC data were analyzed following standard correction procedures such as lag correction, coordinate rotation, and uncertainty analysis using the InnFLUX tool by Striednig et al. (2020). The high frequency attenuations of the fluxes were corrected using transfer functions estimated using the sensible heat flux cospectra.

We observed high emissions of isoprene, monoterpenes, sesquiterpenes and the first-ever emission fluxes of diterpenes from a wetland. The average normalized standard emission factor (EF) at standard photosynthetically active radiation of 1000 μmols m-2 s-1 and standard temperature of 30 oC for isoprene using the emission algorithm by Guenther et al. (2012) was determined as 1200 μmols m-2 day-1. For comparison, a relaxed eddy accumulation (REA) flux measurement study at the same site by Haapanala et al. (2006) had reported much lower EF of 240 μmols m-2 day-1. We observed sesquiterpene emissions reaching up to 50% of monoterpene emissions on average and occasionally even higher than monoterpenes emissions. For diterpenes, we found mean emissions of 0.4 μmols m-2 day-1.

During the campaign, the temperature peaked at 32 oC which is abnormally high for boreal environments and all the terpenoid emissions showed an exponential temperature dependence. The derived exponential temperature coefficient (Q10) value for isoprene was 4 times higher than the values used in the widely used MEGAN model. Our study reveals that VOC emissions from boreal environment are very sensitive to temperature change and since temperature is one of the main drivers of BVOC emission, anthropogenic global warming can induce much higher BVOC emissions in the future.

How to cite: Vettikkat, L., Miettinen, P., Buchholz, A., Rantala, P., Yu, H., Schallhart, S., and Schobesberger, S.: Eddy covariance measurements reveal high emissions of terpenes from a boreal fen, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6938, https://doi.org/10.5194/egusphere-egu22-6938, 2022.

EGU22-7458 | Presentations | BG3.3

The role of bacterial biodegradation for atmospheric budgets of formic and acetic acids 

Leslie Nuñez Lopez and Barbara Ervens

Formic and acetic acids are ubiquitous components in the atmospheric gas and condensed (clouds, particles, fogs) phases. They originate from various anthropogenic or biogenic sources.

Their production and loss processes in the atmosphere are usually assumed to occur by chemical oxidation processes only. In atmospheric models, their chemical formation and loss processes are described by oxidation reactions with abundant oxidants (e.g., OH, NO3 radicals).

However, lab and model studies suggest that bacteria can efficiently biodegrade these acids and similar organic compounds. Their highest metabolic activity of bacteria is thought to be limited to their time in warm clouds due to the presence of liquid water.

 

We use a process model with detailed descriptions of cloud microphysics, multiphase (gas/cloud) chemistry and biodegradation processes in individual cloud droplets. The model is initialized with data from the Puy de Dome observatory (Auvergne, France), where long-term data sets of chemical, microphysical and biological cloud data in a variety of air masses were collected.

The model description of the multiphase chemistry and cloud microphysics is based on well-established models. Bacterial processes are implemented using lab-derived biodegradation rates for various atmospherically relevant bacteria strains and conditions.

 

We perform model studies for a variety of cloud chemical, biological and microphysical parameter ranges to identify atmospheric conditions, under which biodegradation represents a major loss process of formic and acetic acids. Since the number of bacteria cells is much smaller than that of cloud droplets, we will discuss the importance of the accurate model representation of cloud droplet properties (number concentration, diameter, lifetime) for model results. 

Our study demonstrates that microbiota in the atmosphere interact with chemical compounds and affect their budgets. It shows the need to (i) extend current atmospheric chemistry models and (ii) provide information on microbiota distribution and activity.  Thus, our work represents a study at the interface of atmospheric sciences and biogeochemistry and gives new research perspectives for interdisciplinary efforts in these fields.

How to cite: Nuñez Lopez, L. and Ervens, B.: The role of bacterial biodegradation for atmospheric budgets of formic and acetic acids, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7458, https://doi.org/10.5194/egusphere-egu22-7458, 2022.

EGU22-10663 | Presentations | BG3.3

Strong isoprene emission response to temperature in tundra vegetation 

Roger Seco, Thomas Holst, Cleo L. Davie-Martin, Tihomir Simin, Alex Guenther, Norbert Pirk, Janne Rinne, and Riikka Rinnan

Biogenic emissions of volatile organic compounds (BVOCs) are a crucial component of biosphere-atmosphere interactions. In northern latitudes, climate change is amplified by feedback processes in which BVOCs have a recognized, yet poorly quantified role, mainly due to a lack of measurements and concomitant modelling gaps. Hence, current Earth system models mostly rely on temperature responses measured on vegetation from lower latitudes, rendering their predictions highly uncertain.

We used Proton Transfer Reaction -Time of Flight- Mass Spectrometry (PTR-TOF-MS) and eddy covariance to measure ecosystem-level isoprene fluxes at two contrasting ecosystems in Sweden and Norway during an entire growing season. Measured fluxes showed that tundra isoprene emissions responded vigorously to temperature increases, with Q10 temperature coefficients of up to 20.8; that is 3.5 times the Q10 derived from the equivalent model results. Our results demonstrate that tundra vegetation possesses the potential to substantially boost its isoprene emissions in response to future rising temperatures, at rates that exceed the current Earth system model predictions.

How to cite: Seco, R., Holst, T., Davie-Martin, C. L., Simin, T., Guenther, A., Pirk, N., Rinne, J., and Rinnan, R.: Strong isoprene emission response to temperature in tundra vegetation, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10663, https://doi.org/10.5194/egusphere-egu22-10663, 2022.

Severe droughts endangers ecosystem functioning worldwide and can impact ecosystem-atmosphere exchange of water and carbon fluxes as well as biogenic volatile organic compound (BVOC) emissions. However, mechanisms driving alterations in ecosystem-atmosphere exchange of BVOCs during drought and recovery remain poorly understood. To disentangle complex ecosystem dynamics we imposed a 9.5-week drought on the Biosphere 2 tropical rainforest, a thirty-year old enclosed forest. We traced ecosystem scale interactions through a whole-ecosystem labelling approach in the Biosphere 2 Tropical Rainforest, the B2 Water, Atmosphere, and Life Dynamics (B2WALD) experiment. We analysed total ecosystem exchange, soil and leaf fluxes of H2O, CO2 and BVOCs, and their stable isotopes over five months. To trace changes in soil-plant-atmosphere interactions we labelled the ecosystem with a 13CO2-isotope.

Drought sequentially propagated through the vertical forest strata, with a rapid increase in vapor pressure deficit, the driving force of tree water loss, in the top canopy layer and early dry-down of the upper soil layer but delayed depletion of deep soil moisture. Gross primary production (GPP), ecosystem respiration (Reco), and evapotranspiration (ET) declined rapidly during early drought and moderately under severe drought. Interactions between plants and soil led to distinct patterns in the relative abundance of atmospheric BVOC concentrations as the drought progressed, serving as a diagnostic indicator of ecosystem drought stress, with isoprene indicating the onset of ET and GPP reduction and hexanal indicating their final decline under severe drought. Net uptake of isoprene and monoterpenes by the soil was influenced by both overlying atmospheric concentrations and soil moisture. During drought, the concentration normalized soil uptake capacity of monoterpenes increased relative to isoprene. This indicated greater persistence of monoterpene scavenging by soils under drought when plant monoterpene emissions were highest.

Ecosystem 13CO2-pulse-labeling showed that drought enhanced the mean residence times of freshly assimilated carbon- indicating down-regulation of carbon cycling velocity and delayed transport form leaves to trunk and roots. Despite reduced ecosystem carbon uptake and total VOC emissions, plants continued to allocate a similar proportion of fresh carbon to de novo VOC synthesis, as incorporation of 13C into both isoprene and monoterpenes remained high. Maintaining carbon allocation into VOC synthesis demonstrates the fundamental role of these compounds in protecting plants from heat stress and photooxidative damage. VOC uptake increased immediately upon rain rewetting.

These data highlight the importance of quantifying drought impacts on forest functioning beyond the intensity of (meteorological) drought, but also taking dynamics response of hydraulic regulation of different vegetation compounds and soil microbial activity of the forest into account.

Werner et al. 2021, Science 374, 1514 (2021), DOI: 10.1126/science.abj6789

How to cite: Werner, C., Meredith, L. K., and Ladd, S. N. and the B2WALD: Ecosystem BVOC fluxes during drought and recovery trace ecohydrological responses of the vegetation and soil microbial interactions - insights from an ecosystem-scale isotope labelling experiment, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11637, https://doi.org/10.5194/egusphere-egu22-11637, 2022.

EGU22-11680 | Presentations | BG3.3

Quantitative relationships between insect herbivory severity and BVOC emissions in a Subarctic mountain birch forest 

Jolanta Rieksta, Tao Li, Rikke Lauge Borchmann, and Riikka Rinnan

Insect herbivory amplifies the biogenic volatile organic compound (BVOCs) emissions into the atmosphere, where BVOCs participate in atmospheric chemistry processes. In the high latitudes, herbivory induced BVOCs are considered as a major contribution to the total plant BVOC emissions during periods of active insect herbivore feeding. However, current BVOC models do not quantify BVOC emissions upon insect herbivory. Including effects of herbivory in models would be especially relevant in order to model BVOC emissions in the Arctic, where insect herbivore pressure is expected to increase with climate change.

We gathered data from enclosure-based field studies conducted in the Subarctic, that assessed the effects of outbreak-causing geometrid moth larvae (Operophtera brumata and Epirrita autumnata) feeding on the BVOC emissions of the dominant tree species, mountain birch (Betula pubescens var. pumila (L.)). The feeding damage ranged from background herbivory to up to 100% defoliation, thus mimicking local insect outbreak conditions.

The leaf area based BVOC emissions from mountain birch increased linearly with increasing feeding damage up to a maximum of 15 %, depending on the BVOC group. After this maximum, BVOC emissions declined as the leaf area decreased.

These results provide quantitative relationships between leaf area eaten and the emission rate of atmospherically important BVOC groups in the Subarctic mountain birch forest. Our results have practical implications for incorporating the modelling of herbivory induced BVOC emissions into the mainstream VOC models such as MEGAN (Model of Emissions of Gases and Aerosols from Nature) or LPJ-GUESS (Lund-Potsdam-Jena General Ecosystem Simulator).

How to cite: Rieksta, J., Li, T., Lauge Borchmann, R., and Rinnan, R.: Quantitative relationships between insect herbivory severity and BVOC emissions in a Subarctic mountain birch forest, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11680, https://doi.org/10.5194/egusphere-egu22-11680, 2022.

EGU22-12851 | Presentations | BG3.3

Microbial volatile organic compounds: important but overlooked in microbial systems studies 

Laura Meredith, Malak Tfaily, Parker Geffre, Kelsey Graves, Kristina Riemer, Linnea Honeker, and Jordan Krechmer

Volatile organic compounds (VOCs) are vigorously cycled by microbes as metabolic substrates and products and as signaling molecules. Yet, current microbial metabolomic studies predominantly focus on nonvolatile metabolites and overlook VOCs, which therefore represent a missing component of the metabolome. In metabolomic studies, it is important to know which compounds within metabolic pathways may be considered volatile to predict potentially overlooked compounds and potentially include VOC measurement approaches to capture them.

In this study, we adapted and automated an atmospheric vapor pressure predictive model for metabolomic research to calculate relative volatility indices (RVIs) for compounds in a metabolic pathway through identification of the compound’s functional groups. We then evaluated the importance of considering compound volatility in soil metabolomic studies by comparing the ability of a suite of complementary analytical tools (nuclear magnetic resonance (NMR) spectroscopy, gas chromatography-mass spectrometry (GC-MS), and Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR-MS)) to capture complete metabolic pathways in soil.

We found that the metabolites that were not detected by NMR, GC-MS, and FT-ICR-MS within metabolic pathways had significantly higher volatility than those that were detected, revealing a bias against volatile metabolites in standard metabolomics pipelines. Moreover, we show that including VOC-resolving measurements (proton transfer reaction time of flight mass spectrometry (PTR-TOF-MS)) captured the volatile compounds missed by other metabolomic techniques, and together, the combined approaches captured more complete microbial metabolic processes in soil.  Our results demonstrate the importance and prevalence of VOCs as metabolites in soil. Including volatile metabolites in metabolomics, both conceptually and in practice, will build a more comprehensive understanding of microbial processes across ecological communities.

How to cite: Meredith, L., Tfaily, M., Geffre, P., Graves, K., Riemer, K., Honeker, L., and Krechmer, J.: Microbial volatile organic compounds: important but overlooked in microbial systems studies, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12851, https://doi.org/10.5194/egusphere-egu22-12851, 2022.

EGU22-813 | Presentations | AS2.5

Sensitivity of WRF Land Surface Schemes to Land Cover Classification over Complex Alpine Terrain 

Gaspard Simonet, Manuela Lehner, and Mathias W. Rotach

Presently, Limited Area or High-Resolution Mesoscale (HRM) models with grid spacing on the
order of 1 km are used for numerical weather forecasting. Mountainous terrain is, however,
characterized by large surface heterogeneity since steep topography, urban areas, and different land-
cover types co-exist on small spatial scales. Because of this surface heterogeneity, local small-scale
processes occur within the Mountain Boundary Layer (MoBL) that cannot be explicitly resolved
with a 1-km grid spacing and thus need to be parameterized by the Land Surface Model (LSM) and
the Planetary Boundary Layer (PBL) schemes. The large surface heterogeneity can be poorly
represented in the Land-Use Classification (LUC) and can further lead to errors within the model.
Correct land-use classification is, however, crucial to provide accurate surface characteristics (e.g.,
albedo, roughness length, thermal inertia, emissivity, and soil moisture availability) to correctly
calculate near-surface exchange processes in the LSM. A careful evaluation of the LUCs, the
associated surface characteristics, and their impact on the modeled land-atmosphere exchange
against observations is thus a key to a better understanding of the model’s performance.
We will present Weather and Research Forecasting Model (WRF) simulations with a grid spacing
down to 1 km over the steep Alpine terrain of the Inn Valley, Austria. Focusing on convective
summer conditions, simulations are performed for individual undisturbed valley-wind days.
Various LSMs are tested with four LUCs, that is, the Corine Land Cover 2012 and the updated 2018
(CLC12 and CLC18) datasets and the WRF built-in MODIS and USGS datasets. Initial and
boundary conditions come from the ERA-5 reanalysis. The model simulations are evaluated against
high-quality observations from the i-Box measurement platform, which includes a temperature and
a humidity profiler and six eddy-covariance towers (including four full energy-balance stations),
which are located at various locations throughout the valley covering different surface
characteristics (e.g., slope aspect, slope angle, land cover, and elevation.) Automatic weather
stations in the Inn Valley and its surroundings increase the spatial coverage of observations
available for model evaluation.
Both standard meteorological variables (e.g., temperature, humidity, pressure, wind speed and
direction) and the full surface-energy balance (e.g., heat fluxes and radiation) will be evaluated
against observations for all the simulations to determine the impact of differences in LUC on
surface exchange in the LSMs. Because of the large spatial heterogeneity of the topography and the
land cover, an optimized grid-point selection is developed for evaluating the model against these
point measurements in addition to correcting for differences in elevation and height above ground
between the model and real topography. Surface fluxes integrated over the whole valley are further
analyzed to determine the impact of the LUC on the MoBL, such as the thermal structure and the
valley-wind circulation.

How to cite: Simonet, G., Lehner, M., and Rotach, M. W.: Sensitivity of WRF Land Surface Schemes to Land Cover Classification over Complex Alpine Terrain, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-813, https://doi.org/10.5194/egusphere-egu22-813, 2022.

EGU22-835 | Presentations | AS2.5

Investigating the diurnal radiative, turbulent and biophysical processes in the Amazonian canopy-atmosphere interface by combining LES simulations and observations 

Jordi Vila-Guerau de Arellano, Xabier Pedruzo-Bagazgoitia, Arnold Moene, Huug Ouwersloot, Tobias Gerken, Luiz Machado, Scot Martin, Edward Patton, Matthias Sorgel, Paul Stoy, and Marcia Yamasoe

We investigate the diurnal variability in and above the Amazonia rainforest for a representative day during the dry season period. We combine high-resolution large-eddy simulations constrained and evaluated against a comprehensive observations gathered during the field experiment GOAMAZON14.

Our findings quantified the large variability of the photosynthesis drivers in the canopy. This leads to a large scatter on the values of the leaf conductance with minimum and maximum values that vary more than 100% from the average value. The impact of turbulence on the fluxes of heat, moisture and carbon dioxide differs: at the canopy top, we found more strike structures related to wind at the canopy-atmosphere interface whereas at the canopy bottom the structure remind the ones of convective cells. In systematically comparing with the observations, we find that the agreement with observations depend very much on the variable. We find the best spatiotemporal agreement with variables related to wind. The heat distribution and fluxes compare also satisfactorily with the observations. The increasing of complexity on the biophysical processes, related to ecophysiology and soil and the atmospheric control, leads to the largest disagreement between observations and simulation results for evaporation, carbon dioxide plant assimilation and soil efflux. Though the model is able to capture the correct dependences, the magnitude still differ.  We discuss here the need to revise and adjust the leaf and soil models as well as to set a more comprehensive observational strategy to advance our understanding at leaf and canopy levels, and their coupling with the atmosphere.

 

How to cite: Vila-Guerau de Arellano, J., Pedruzo-Bagazgoitia, X., Moene, A., Ouwersloot, H., Gerken, T., Machado, L., Martin, S., Patton, E., Sorgel, M., Stoy, P., and Yamasoe, M.: Investigating the diurnal radiative, turbulent and biophysical processes in the Amazonian canopy-atmosphere interface by combining LES simulations and observations, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-835, https://doi.org/10.5194/egusphere-egu22-835, 2022.

EGU22-2234 | Presentations | AS2.5

Energy exchange at the micro-scale during the operation of a ventilator for frost protection 

Judith Boekee, Yi Dai, Bart Schilperoort, Bas van de Wiel, and Marie-Claire ten Veldhuis

A late frost in spring can cause extensive damage and substantial economic losses for agriculture around the world. To mitigate damage, fruit farmers take active measures to raise plant and air temperatures, such as ventilators that mix warm overlying air down to the vegetation. However, up to this point studies on ventilator efficiency have focused on air temperatures. Plant temperatures during ventilator operation remain unknown, while critical for the actual degree of frost damage. With Distributed Temperature Sensing we measured a grid of in-canopy air temperatures in a Dutch pear orchard and thermocouples were installed to determine the temperatures of plant leaves and flower buds. It turns out that before or without ventilator operation, the leaves are cooler than the surrounding air by up to 2 ⁰C. Here we show that over the rotation cycle of a ventilator the temperature difference between plant and air is variable and can be divided into three phases. During the first phase warm air is mixed into the canopy by the ventilator. Air temperatures rise faster than leaf temperatures due to the leaves’ heat capacity and isolating leaf boundary layer. The extent of the temperature rise depends on the distance to the ventilator. Further from the ventilator, the canopy reduces the jet speed and thus vertical mixing. At the peak of the jet, phase II, the high wind speeds break down the leaf boundary layer and enhance convective energy exchange. When the plant temperature approaches air temperature, the convective warming of the leaves stops, and radiative cooling becomes the dominant process. At phase III, after the passage of the jet, the air stabilizes and the leaves cool radiatively until a new equilibrium is reached. Our results demonstrate how leaf-air heat exchange within the canopy differs under varying turbulence conditions. For maximum crop protection and optimal employment of the ventilator both wind speed and air temperature in the canopy should be taken into consideration. Therefore, we expect that optimal settings may vary throughout the growing season as canopy density and the corresponding wind reduction change.

How to cite: Boekee, J., Dai, Y., Schilperoort, B., van de Wiel, B., and ten Veldhuis, M.-C.: Energy exchange at the micro-scale during the operation of a ventilator for frost protection, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2234, https://doi.org/10.5194/egusphere-egu22-2234, 2022.

EGU22-2687 | Presentations | AS2.5

Analysis of the filter time scale under stable conditions in mountainous terrain 

Manuela Lehner and Mathias W. Rotach

To calculate turbulent fluxes from eddy-covariance measurements, an appropriate filter time needs to be selected to remove non-turbulent larger-scale motions from the raw time series, while retaining all of the turbulent contributions. Common choices include 30 min for convective conditions and 1-5 min for stable conditions. Eddy-covariance data from five i-Box stations in the Austrian Inn Valley are analyzed to determine the appropriate filter time scale under stable conditions using spectral analysis. The i-Box (Innsbruck Box) is a long-term measurement platform, which was designed to study boundary-layer processes in highly complex terrain and has been operational since 2012. The five stations are located in an approximately 6.5-km long section of the 2-3-km wide valley, with one station at the almost flat valley floor, two stations on relatively low-angle slopes of the south-facing sidewall, and two stations on steep slopes of the north-facing sidewall. Different methods, including Fourier analysis and multi-resolution flux decomposition, are tested to determine the filter time scale. As submeso motions affect temperature and the horizontal and vertical wind components differently, not all variances and covariances are equally well suited to identify the time scale. Using the correlation between the identified filter time and the mean near-surface wind speed and stability, the impact of different filter times, including a flexible, time-varying filter time, on near-surface turbulent fluxes is further discussed.

How to cite: Lehner, M. and Rotach, M. W.: Analysis of the filter time scale under stable conditions in mountainous terrain, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2687, https://doi.org/10.5194/egusphere-egu22-2687, 2022.

EGU22-3038 | Presentations | AS2.5

Surface Heterogeneity Measure and Its Application in Energy Imbalance Problem 

Hawwa Kadum, Luise Wanner, and Matthias Mauder

The Earth's surface continuously interacts with the atmospheric boundary layer (ABL) through turbulent fluxes.  These fluxes are responsible for the transfer of energy, momentum, and matter. In consequence, land-atmosphere feedback is controlled by the surface structure.  Assuming surface homogeneity in scientific practices causes problems like inaccuracy in atmospheric models predictions and underestimations in eddy-covariance (EC) measurements.  One challenge of accounting for surface heterogeneity in scientific practices is the lack of a practical measure of heterogeneity length scales.  We propose here a lacunarity based heterogeneity scale that is validated using experimental forest models.  For mitigating the energy imbalance problem in EC measurements, it was found that the flux underestimation can be parameterized as a function of atmospheric stability and surface heterogeneity.  We investigate the applicability of the heterogeneity scale to this parameterization for the underestimations in CO2 fluxes.

How to cite: Kadum, H., Wanner, L., and Mauder, M.: Surface Heterogeneity Measure and Its Application in Energy Imbalance Problem, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3038, https://doi.org/10.5194/egusphere-egu22-3038, 2022.

EGU22-3678 | Presentations | AS2.5

Effect of horizontal airflow filtering using a porous cylindrical shroud on vertical turbulence characteristics 

Mohammad Abdoli, Johann Schneider, Johannes Olesch, and Christoph Thomas

This paper presents the findings of a series of experimental studies to investigate the variation of vertical flow characteristics after filtering horizontal flow using porous cylindrical shrouds. Exploring this research question implies improving the existing method of observing horizontal wind speed and direction using Distributed Temperature Sensing (DTS) to develop it for the vertical direction to capture continuous and distributed turbulence. The experiments were performed using two sonic anemometers and two pressure ports in the open experimental area; one of each sensor is located inside the cylindrical shroud. The flow statistics were compared between different shroud configurations with different shapes, colors, rigidity, and porosity. Based on the coefficient of determination and mean error between shrouded and unshrouded data, the white insect screen shroud with a rigid structure and 60 cm diameter and 145 cm height is determined as the most conducive setup. The optimum shroud setup reduces the horizontal wind standard deviation by 35 percent, having a coefficient of determination of 0.972 between vertical wind standard deviations and RMSE less than 0.018 m/s between shrouded and unshrouded set up. However, the comparisons confirm that the vertical flow remains unaltered while reducing the horizontal flow, but the spectral energy ratio between the shrouded and unshrouded setup shows different responses. This ratio decreases exponentially in the high frequencies, which means the shroud damps the high-frequency eddies with a temporal scale of fewer than 6 seconds. Despite high frequencies, the ratio remains constant in the low frequencies for all energy spectrums, including temperature, wind components, momentum, and sensible heat flux.

How to cite: Abdoli, M., Schneider, J., Olesch, J., and Thomas, C.: Effect of horizontal airflow filtering using a porous cylindrical shroud on vertical turbulence characteristics, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3678, https://doi.org/10.5194/egusphere-egu22-3678, 2022.

EGU22-3688 | Presentations | AS2.5

A Model of the Energy Balance Gap Based on Atmospheric Stability and Surface Heterogeneity 

Luise Wanner, Marc Calaf, Sreenath Paleri, Hawwa Kadum, Brian Butterworth, Ankur Desai, and Matthias Mauder

Secondary circulations are one of the main causes of the energy balance gap that arises from the underestimation of sensible and latent heat fluxes by eddy covariance measurements because they cannot capture the energy transported by the mean wind, i.e. the so-called dispersive flux. The magnitude of the missed sensible and latent dispersive fluxes depends significantly on atmospheric stability and surface thermal heterogeneity, but there is currently no correction method that accounts for both of these relationships. Using an idealized large-eddy simulation study, we have further developed an existing approach that models the energy balance gap as a function of atmospheric stability by additionally including thermal surface heterogeneity in the parametrization. This new model has already been tested on eddy covariance measurements that were carried out at 17 stations over the course of three months during the CHEESEHEAD19 (Chequamegon Heterogeneous Ecosystem Energy-balance Study Enabled by a High-density Extensive Array of Detectors) measurement campaign and it provides promising results.

How to cite: Wanner, L., Calaf, M., Paleri, S., Kadum, H., Butterworth, B., Desai, A., and Mauder, M.: A Model of the Energy Balance Gap Based on Atmospheric Stability and Surface Heterogeneity, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3688, https://doi.org/10.5194/egusphere-egu22-3688, 2022.

EGU22-4268 | Presentations | AS2.5

Bridging the gap between leaf surface and the canopy air space: Leaf size matters for heat transfer resistance at canopy-scale 

Gitanjali Thakur, Stanislaus Schymanski, Ivonne Trebs, Kaniska Mallick, Mauro Suils, Olivier Eiff, and Erwin Zehe

The concept of canopy-scale resistances was developed to investigate and evaluate the transfer of momentum, heat and mass from the leaf surface to the canopy air space and to the atmosphere. Therefore, reliable estimates of resistances are of fundamental importance for studying the ecosystem scale fluxes and land-atmosphere interaction. The canopy-scale resistance has two components: the leaf boundary layer resistance and canopy-air-to-atmosphere resistance. In big-leaf conceptualizations, canopy-scale resistances are represented in a single term called aerodynamic resistance, which refers to the resistance between an idealized ‘big-leaf’ and the atmosphere for the transfer of momentum, heat and mass. A decent amount of literature exists on the estimation of aerodynamic resistances for various ecosystems based on the roughness length parametrizations and atmospheric stability correction. Most of these parametrizations do not include the leaf boundary layer explicitly and therefore rely on a conceptual 'aerodynamic temperature' at some distance above the leaf surface. This gap hampers reliable modelling of canopy gas exchange (transpiration and CO2 assimilation) as these processes happen directly at the leaf surface and strongly rely on accurately capturing the leaf surface temperature. To bridge this gap, an additional resistance based on a ‘kB-1' parametrization is commonly added to the classical aerodynamic resistance.

 

The objective of the present study is to estimate the total resistance to heat transfer from the heat exchanging surfaces to the measurement height and to find the most appropriate mathematical formulation for this resistance. We used radiometric and eddy covariance (EC) measurements from a wide range of land cover types and estimated the total resistance to heat transport using measured fluxes and radiometric surface temperatures by inverting the flux-profile equation. We also performed a comprehensive comparison of total resistance estimates with commonly used stability and roughness-based resistance formulations, including ‘KB-1' parametrizations and the momentum flux resistance inverted from EC measurements. We found that total resistances were consistently greater than the roughness length-based resistance parametrizations at most of the study sites. We further found that the difference between the total and aerodynamic resistance can be largely explained by dominant leaf sizes at the individual sites.

 

Based on these results, we propose a consistent canopy resistance formulation by explicitly considering leaf sizes and leaf boundary layer resistances in combination with an adequate representation of aerodynamic canopy-atmosphere resistance. This approach will enable a consistent coupling of the aerodynamic process with physiological leaf-scale processes such as photosynthesis and stomatal control, which depend on and interact with leaf temperature, and aerodynamic stability.

 

How to cite: Thakur, G., Schymanski, S., Trebs, I., Mallick, K., Suils, M., Eiff, O., and Zehe, E.: Bridging the gap between leaf surface and the canopy air space: Leaf size matters for heat transfer resistance at canopy-scale, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4268, https://doi.org/10.5194/egusphere-egu22-4268, 2022.

EGU22-5441 | Presentations | AS2.5

Comparison of wind measurements from different Doppler lidar scan strategies and two lidar brands with an ultrasonic anemometer 

Kevin Wolz, Norman Wildmann, Frank Beyrich, Eileen Päschke, Carola Detring, and Matthias Mauder

Technology has reached a point where ground-based remote sensing instruments have the ability to greatly increase the spatial and temporal data density compared to conventional instruments. This offers the great opportunity to improve the understanding of individual processes and to increase the predictive capabilities of numerical weather models and reduce their inaccuracies. The goal of this study is to assess these measurement inaccuracies and the usefulness of Doppler lidar systems for these purposes. The data were collected during the FESST@MOL 2020 measurement campaign, organised by the German Weather Service (DWD) and initiated by the Hans-Ertel-Center for Weather Research (HErZ), at the boundary layer field site (GM) of the DWD in Falkenberg (Tauche), Germany. During the measurement campaign, a total of eight Doppler lidars of the brands Halo Photonics and Leosphere were active in different operating modes. We compare the results of triple and single Halo Photonics lidar setups and triple Leosphere lidar setups with the measurements of an ultrasonic anemometer mounted at a height of 90 m at the 99 m high instrumented tower in Falkenberg. The focus of the operating modes was on various virtual tower (VT) measurements and velocity azimuth display (VAD) measurements with the different averaging times of ten and thirty minutes for the mean horizontal wind. The discrepancy in readings between VT and VAD measurements increases with increasing height above the ground while the Halo Photonic lidars performed better in the comparison with the sonic anemometer.

How to cite: Wolz, K., Wildmann, N., Beyrich, F., Päschke, E., Detring, C., and Mauder, M.: Comparison of wind measurements from different Doppler lidar scan strategies and two lidar brands with an ultrasonic anemometer, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5441, https://doi.org/10.5194/egusphere-egu22-5441, 2022.

EGU22-5533 | Presentations | AS2.5

Large-eddy Simulation of Surface Heterogeneity Induced Secondary Circulation with Ambient Winds 

Lijie Zhang, Stefan Poll, and Stefan Kollet

Land surface heterogeneity affects the distribution of energy from incoming solar radiation, and in conjunction with ambient winds, influences the convective atmospheric boundary layer development. In this study, experimental large-eddy simulations were carried out applying continuously-distributed soil moisture along a river corridor with idealized initial atmosphere conditions at a spatial scale on the order of kilometers. Simulations were performed with ambient wind ranging from 0 to 16 m/s and for different directions, which are cross-valley and parallel-valley. After decomposing the simulated winds into the ensemble-averaged wind, phase wind, and turbulence, the results show that soil moisture heterogeneity induces a well-organized secondary circulation structure with the horizontal mesoscale phase wind approaching some 2 m/s. The secondary circulation structure persists under the parallel-valley wind conditions independently of the wind speed, but is destroyed when the cross-valley wind is stronger than the horizontal mesoscale phase wind. We explored the relationship between the secondary circulation strength, expressed as the normalized maximum of the vertical phase wind variance, and dimensionless variables such as Bowen ratio and stability parameter (ratio of boundary layer depth and Obukhov length). With the mean of these dimensionless variables, we found a distinct relationship between the strength of the secondary circulations with respect to the ambient wind.

How to cite: Zhang, L., Poll, S., and Kollet, S.: Large-eddy Simulation of Surface Heterogeneity Induced Secondary Circulation with Ambient Winds, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5533, https://doi.org/10.5194/egusphere-egu22-5533, 2022.

EGU22-6065 | Presentations | AS2.5 | Highlight

Surface-atmosphere interactions at an urban site in highly complex terrain 

Helen Claire Ward, Mathias Walter Rotach, Alexander Gohm, Martin Graus, Thomas Karl, Maren Haid, Lukas Umek, and Thomas Muschinski

We present the first detailed analysis of multi-seasonal near-surface turbulence observations for an urban area in highly complex terrain. Using four years of eddy covariance data collected over the Alpine city of Innsbruck, Austria, we assess the impact of the urban surface, orographic setting and mountain weather on the exchange of energy, momentum and mass. In terms of urban surface controls, findings indicate several similarities with previous studies at city-centre sites (in much flatter terrain). The available energy is used mainly for the net storage heat flux and sensible heat flux, while the lack of vegetation in the source area means latent heat fluxes are small. Observed carbon dioxide fluxes are dominated by anthropogenic emissions from building heating in winter and traffic in summer. The measured annual total carbon dioxide flux corresponds well to both modelled emissions and observations from other sites with a similar proportion of vegetation, but interpretation of seasonal and diurnal patterns is complicated by spatial heterogeneity in the source area combined with distinct temporal trends in flow conditions.

Innsbruck’s mountainous setting impacts atmospheric conditions and surface-atmosphere exchange in multiple ways. Steep valley sides block solar radiation at low sun angles, resulting in a shift in the times of local sunrise and sunset compared to over flat terrain. In the absence of strong synoptic forcing, a thermally driven valley-wind circulation develops with characteristic daily and seasonal flow patterns. Moderate up-valley winds are observed during the afternoon (these are strongest during summer), while weak down-valley winds prevail overnight, in the early morning and during winter. During spring and autumn, downslope windstorms (foehn) can lead to marked increases in temperature, wind speed and turbulence. Sensible heat fluxes in the city are almost always positive (even at night and during winter), however the presence of warm air above cooler surfaces can result in negative sensible heat fluxes during foehn. Furthermore, very low carbon dioxide mixing ratios observed during foehn events illustrate how the intense mixing helps to ventilate the city and reduce pollutant concentrations.

For the first time, the combined influences of the urban environment, complex orography and atmospheric conditions on surface-atmosphere exchange are analysed in order to begin to understand interactions between urban and topographic processes. These results are thus relevant not only for other urbanised Alpine valleys, but for the numerous cities across the globe which are located in some kind of topographic complexity, such as in river valleys or basins, on hilltops or plateaus or along coastlines.

How to cite: Ward, H. C., Rotach, M. W., Gohm, A., Graus, M., Karl, T., Haid, M., Umek, L., and Muschinski, T.: Surface-atmosphere interactions at an urban site in highly complex terrain, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6065, https://doi.org/10.5194/egusphere-egu22-6065, 2022.

EGU22-7295 | Presentations | AS2.5

Airborne flux measurements of ammonia over the Southern Great Plains using chemical ionization mass spectrometry 

Siegfried Schobesberger, Emma L. D'Ambro, Ben H. Lee, Qiaoyun Peng, Mikhail S. Pekour, Jerome D. Fast, and Joel A. Thornton

Ammonia (NH3) plays an important role in atmospheric and environmental chemistry, from the formation of inorganic and organic aerosol, to soil acidification and nutrient cycles. Its dominant source are anthropogenic emissions, primarily from agricultural activities, and it thereby contributes substantially to fine-particle pollution in many regions. However, there are high uncertainties in attributing atmospheric NH3 to specific sources, and current emission inventories substantially underestimate many major point sources. The quantification of NH3 is challenging, due to the wide range of ambient mixing ratios and its infamous propensity to interact with surfaces, causing losses and slow response times.

In this study, we present a new technique for detecting NH3 using a chemical ionization mass spectrometer (CIMS). The CIMS was deployed on a G-1 aircraft during the Holistic Interactions of Shallow Clouds, Aerosols, and Land Ecosystems (HI-SCALE) campaign over Oklahoma, specifically around the ARM Southern Great Plains field site, in 2016. The instrument was modified to enable quantifiable airborne measurements throughout tropospheric pressures, and to alternatingly use iodide anion and deuterated benzene cation ionization. In this mode, and aided by a high-flow core-sampling setup, we obtained a formidable device for measuring in-situ mixing ratios of NH3. Measured NH3 mixing ratios spanned from <10 to 100s of parts per trillion in the free troposphere, to sharp plumes of highly elevated mixing ratios (10’s of parts per billion) downwind from a fertilizer plant. These plumes are of the order expected based on the U.S. Environmental Protection Agency’s National Emissions Inventory (NEI). The high sensitivity and response time of ~1 s allowed us to also calculate vertical NH3 fluxes via eddy covariance. We used the continuous wavelet transform method to maximize the spatial resolution of the derived fluxes, remaining limited to ~1-2 km by the flight altitudes and related turbulence scales. Together with flux footprint considerations, the measurements let us constrain the NH3 emission rates for ubiquitous agricultural area sources in rural Oklahoma. Typically, the derived area emission rates clearly exceeded the values provided by the NEI. In addition, our measurements captured large point sources that appeared to be missing in the NEI, at least one identified as a large cattle farm.

How to cite: Schobesberger, S., D'Ambro, E. L., Lee, B. H., Peng, Q., Pekour, M. S., Fast, J. D., and Thornton, J. A.: Airborne flux measurements of ammonia over the Southern Great Plains using chemical ionization mass spectrometry, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7295, https://doi.org/10.5194/egusphere-egu22-7295, 2022.

EGU22-7498 | Presentations | AS2.5

LAFE and LAFO: New experimental and observational investigations of land-atmosphere feedback processes 

Florian Späth, Diego Lange, Andreas Behrendt, Syed Saqlain Abbas, Alan Brewer, Christoph Senff, Tobias Weber, Thilo Streck, and Volker Wulfmeyer

The exchange of energy, moisture and momentum between the atmosphere and the land-surface as well as the associated feedback processes are decisive for the development of the planetary boundary layer. Inaccurate representation and parameterization of these processes are a weakness of current weather and climate models. Improvements in these areas will contribute significantly to better simulations of cloud formation on all temporal and spatial scales. This requires simultaneous measurements of the land-atmosphere system in all compartments. Both the LAFE and the new LAFO design with their instrument synergies have already made important contributions to this. With comparisons between model parameterizations and observations, e.g. the applicability of the Monin-Obukhov similarity theory (MOST) in the case of natural heterogeneous land surface can be investigated or new parameterizations can be developed.

The Land-Atmosphere Feedback Experiment (LAFE, Wulfmeyer et al., 2018) was performed in August 2017 as a measurement campaign at the Atmospheric Radiation Measurements (ARM) Program Southern Great Plains site in Oklahoma, USA. For boundary layer observations, scanning Doppler lidar systems for wind measurements, rotational Raman lidar for temperature and humidity measurements, and differential absorption lidar for water vapor measurements were setup. At the land-surface, meteorological and plant dynamics variables, energy balance, and soil moisture and temperature were recorded at eddy covariance stations. These measurements are also executed at the Land-Atmosphere Feedback Observatory (LAFO, lafo.uni-hohenheim.de) at the University of Hohenheim in Stuttgart (Germany) to collect long-term time series in addition to field experiments. Here, lidar measurements are operationally operated and complemented by measurements from a Doppler cloud radar. At the land surface we measure with eddy covariance stations and a network of soil moisture and temperature sensors and the vegetation status is recorded in the study area. This sensor synergy in LAFO is prototype for GLAFOs (Gewex LAFOs, Wulfmeyer et al. 2020) to establish these measurements in different climate regions in the world.

In this contribution, we present the measurement concept and how observations can be used to study and improve boundary layer and turbulence parameterizations. We demonstrate this with measurement results from LAFE and LAFO with estimates of fluxes determined by combining the moisture, temperature, and wind profiles near the ground, allowing the derivation of appropriate similarity relationships for both entrainment fluxes and MOST.

 

Wulfmeyer et al., 2018, doi: 10.1175/BAMS-D-17-0009.1

Wulfmeyer et al. 2020, GEWEX Quarterly Vol. 30, No. 1.

How to cite: Späth, F., Lange, D., Behrendt, A., Abbas, S. S., Brewer, A., Senff, C., Weber, T., Streck, T., and Wulfmeyer, V.: LAFE and LAFO: New experimental and observational investigations of land-atmosphere feedback processes, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7498, https://doi.org/10.5194/egusphere-egu22-7498, 2022.

EGU22-7620 | Presentations | AS2.5

Investigating the impact of topography on the stable boundary layer structure over complex terrain using Large eddy simulations 

Shravan Kumar Muppa, Karl Lapo, Leyla Sungur, Wolfgang Babel, and Christoph Thomas

Abstract: Large eddy simulations (LES) are performed to better understand the airflow, structure, and mixing processes in the stable boundary layer (SBL) in the bottom of a mid-range mountain valley, Fitchelgebirge, in Southern Germany. The simulated structure and evolution of the SBL over the complex terrain agreed well in comparison with the remote sensing measurements. The simulations were tested using different vertical grid spacings of 10 m, 5 m and 2 m and a stretched version starting at 1 m assuming flat terrain. The topography of the experimental site is complex with mountain ranges of around 700 m on the north and up to 1km on the south. There is a gap on the western side of the site where channel flows are possible. Additional simulations were conducted with topography from a digital elevation model containing elevational differences up to 400 m. Results showed an increased depth of the cold-air pool by up 30 m and lower near-surface temperatures with differences exceeding 5 K in the valley bottom when comparing topography against flat-terrain simulations. The structure of the cold-air drainage followed terrain contours indicating local slope flows being responsible for the enhanced cooling when topography was included, while flat-terrain runs showed no evidence of a coherent cold-air layer. Finer grid resolutions showed much improvement in the resolved cold-pool vertical and horizontal structure. LES output was also compared with in-situ and remote sensing observations in terms of hourly mean profiles of wind speed, direction, and potential temperature, and turbulence kinetic energy. The results highlight the importance of including the topography in SBL modeling for e.g. frost damage forecast, air-pollution studies, fog analyses, and computing greenhouse gas budgets since both the SBL turbulence and time-averaged flow are governed by the thermal structure which is forced by topography even in relatively gentle mountainous terrain in mid-latitude regions.

How to cite: Muppa, S. K., Lapo, K., Sungur, L., Babel, W., and Thomas, C.: Investigating the impact of topography on the stable boundary layer structure over complex terrain using Large eddy simulations, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7620, https://doi.org/10.5194/egusphere-egu22-7620, 2022.

EGU22-7752 | Presentations | AS2.5

Grid resolution dependency of land surface heterogeneity effects on boundary-layer structure 

Stefan Poll, Prabhakar Shrestha, and Clemens Simmer

Land surface heterogeneity exerts a substantial impact on atmospheric boundary-layer (ABL) evolution by spatially varying the distribution and partitioning of surface energy fluxes and triggering secondary circulations. The representation of this physical process in numerical weather prediction (NWP) models is especially affected in the terra incognita as the model grid resolution approaches the length-scale of the largest eddies in the boundary layer. We explore these effects for a mesoscale strip-like land surface inhomogeneity in land cover, soil moisture or a superposition of both embedded in an elsewhere homogeneous landscape. The study is conducted with the numerical weather prediction model ICON (ICOsahedral Nonhydrostatic), using the default operational level 2.5 Mellor–Yamada turbulence closure (MY) and a large-eddy simulation (LES) configuration as a benchmark. While simulations with the default ABL scheme approach the LES reference when refining the spatial grid towards finer resolution, the model generates artificial circulations leading to ABL height oscillations when the horizontal grid resolution (∆x) approaches the ABL height (zi). The effect of these model-induced circulations on the state of the boundary layer is even present with weak thermal heterogeneity (∆H) under low background wind speed (vx) but diminishes with increasing background wind speed. The tuning of the asymptotic turbulent mixing length-scale (𝑙) in the operational ABL scheme helps in reducing the amplitude of the oscillations, thereby reducing the artificially induced circulations due to thermal heterogeneity which might act as unintentional trigger for clouds and precipitation. Based on the tuned synthetic model data from sensitivity runs, we propose a new parametrization for a 2-D 𝑙 as a function of ∆H, zi/∆x and vx, which is otherwise held as a constant in the ABL scheme.

How to cite: Poll, S., Shrestha, P., and Simmer, C.: Grid resolution dependency of land surface heterogeneity effects on boundary-layer structure, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7752, https://doi.org/10.5194/egusphere-egu22-7752, 2022.

EGU22-8155 | Presentations | AS2.5

Ecosystem gross primary productivity during the COVID-19 lockdown 

Angela Che Ing Tang, Christophe Flechard, Guillaume Simioni, Paul C. Stoy, Silvano Fares, Matthias Cuntz, Ladislav Šigut, Matthias Peichl, Ivan Mammarella, Nina Buchmann, Daniel Berveiller, John Douros, Renske Timmermans, Corinna Rebmann, Alexander Knohl, Nicola Arriga, Tom Taborski, Zheng Fu, Mats Nilsson, and Denis Loustau and the co-authors

During the spring of 2020, many countries around the world imposed lockdown measures involving economic activity and movement restrictions to contain the outbreak of the novel coronavirus disease (COVID-19), thereby leading to changes in air pollutant concentrations (Venter et al., 2020). The unprecedented reductions in primary pollutant emissions created a unique opportunity to assess the response of photosynthetic activity of terrestrial ecosystems to atmospheric changes in air quality. Our hypothesis was that a concentration decrease in particulate matter (PM) and the resulting change in light scattering may have affected photosynthesis via changes in direct and diffuse radiation, while a reduction of ozone precursor emissions may have negatively impacted the formation of ozone and reduced its phytotoxic effects. Thus, we analysed turbulent fluxes from eddy covariance measurements and meteorological data collected at the Integrated Carbon Observation System (ICOS) ecosystem stations, and also air pollution data from a continental-scale chemistry transport model (LOTOS-EUROS). Using observations from 44 sites in Europe spanning eleven countries and nine vegetation types, we calculated a 4-month (March-April-May-June, hereafter ‘spring’) anomaly of gross primary productivity (GPP) as the cumulative difference of GPP between 2020 and the reference period from 2015 to 2019. For 34 out of 44 sites, we found that the means between 2020 and the reference GPP were different at the 5% significance level. We further classify these sites into four groups according to modelling and simulation analyses and related data.

  • Group 1 included 16 sites where the GPP anomaly was predominantly driven by changes in meteorology. A 7-31% GPP reduction of eight sites in this group was attributed to several different factors such as reduced incoming shortwave radiation (SW_IN), increased vapour pressure deficit (VPD), late growing season and legacy effects. The remaining eight sites experienced an increase in GPP (5-20%) which coincided with increased SW_IN and reduced diffuse fraction (Kd).
  • Group 2 consisted of five sites where the GPP anomaly was primarily linked to drought-related effects as indicated by an exceptional increase in the Bowen ratio (δß > 29%), declines in soil water content (SWC) and precipitation.
  • Group 3 was represented by five sites where the GPP anomaly was presumably affected by both meteorology and pollutants. All sites in this group experienced an increase in GPP of 14-47% that coincided with enhanced SW_IN (2-13%), reduced atmospheric concentrations of NO2 (28-47%), NO (33-57%), O3 (2-3%), SO2 (5-7%), PM10 (4-14%), PM2.5 (9-17%) and increased NH3 (1-5%).
  • There were eight grassland and savannah sites in Group 4 where the ecosystem management interacted with meteorology to mainly increase GPP by 10-41%.

We first conclude that meteorology and pollutant concentrations during the spring were different between 2020 and 2015-2019 period. Second, our analyses showed that the GPP anomaly in the spring of 2020 was explained by the balance between positive and negative impacts of biophysical drivers. GPP increased when the combined effects of enhanced SW_IN, increased air temperature and reduced pollutant concentrations overtook the negative impact of changes in VPD, SWC and Kd.

Acknowledgements. We would like to thank ICOS site investigators for sharing eddy covariance data.

How to cite: Tang, A. C. I., Flechard, C., Simioni, G., Stoy, P. C., Fares, S., Cuntz, M., Šigut, L., Peichl, M., Mammarella, I., Buchmann, N., Berveiller, D., Douros, J., Timmermans, R., Rebmann, C., Knohl, A., Arriga, N., Taborski, T., Fu, Z., Nilsson, M., and Loustau, D. and the co-authors: Ecosystem gross primary productivity during the COVID-19 lockdown, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8155, https://doi.org/10.5194/egusphere-egu22-8155, 2022.

EGU22-10003 | Presentations | AS2.5

Frequent water inputs to a semi-arid ecosystem at night - a lysimeter based study 

Sinikka J. Paulus, Tarek S. El-Manday, René Orth, Anke Hildebrandt, Thomas Wutzler, Arnaud Carrara, Gerardo Moreno, Oscar Perez-Priego, Olaf Kolle, Markus Reichstein, and Mirco Migliavacca

Globally, ecosystems are water-limited on about one-third of the land area. In these ecosystems, it has been shown that even small water inputs often play a relevant role for a large number of species ensuring their survival. However, to date, such inputs from fog, dew, and adsorption of atmospheric water vapor, which are summarized as non-rainfall water input (NRWI), can rarely be studied because the necessary measurement infrastructure is scarce. Long-term measurements covering multiple seasons and years are especially rare. This limits our understanding of the role of NRWI in the surface water, energy, and carbon balance in ecosystems. 

In this contribution, we investigate surface water exchange processes in a semi-arid Savannah ecosystem over a period of a year. Five large high precision weighing lysimeters enable us to analyze water phase changes with a temporal resolution of five minutes. 

Our main finding is that across (almost) all seasons diel dynamics were characterized by evaporation at daytime and condensation at nighttime. Condensation processes varied between seasons. In winter, dew and fog regularly formed at night when soil moisture and atmospheric humidity were close to saturation. In summer, despite high mean night conditions of atmospheric vapor saturation deficit (15 hPa), water input via adsorption of atmospheric vapor formed due to dry topsoil moisture (< 10 %). In total NRWI occurred for at least 3 hours per day on 297 days (81 % of the year) with a mean duration of 6 hours per day. The relative contribution of NRWI to the total annual water input was 8 %. However, we found a large seasonal variability, with adsorption forming the major water input to the ecosystem during the summer drought period. In the year analyzed, it compensated for 19 % of the evaporation losses. 

Our results suggest a non-negligible contribution of NRWI to the water budget of a semi-arid ecosystem. Consequently, a better representation of the diel dynamics of evaporation and condensation could help us to increase our knowledge of eco-hydrological processes in semi-arid ecosystems. Especially during the dry season, data from daytime and nighttime hours should be taken into account in order not to bias the water balance towards evaporative losses.

How to cite: Paulus, S. J., El-Manday, T. S., Orth, R., Hildebrandt, A., Wutzler, T., Carrara, A., Moreno, G., Perez-Priego, O., Kolle, O., Reichstein, M., and Migliavacca, M.: Frequent water inputs to a semi-arid ecosystem at night - a lysimeter based study, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10003, https://doi.org/10.5194/egusphere-egu22-10003, 2022.

EGU22-10646 | Presentations | AS2.5

Capturing the Effects of Surface Heterogeneity Induced Secondary Circulations on the Lower Sub-grid Atmosphere in Earth System Models 

Tyler Waterman, Andrew Bragg, Jason Simon, and Nathaniel Chaney

Earth System Models (ESMs) traditionally operate at large horizontal resolutions, on the order of 100km, which can obscure the effects of smaller scale heterogeneity. The literature, as well as work in the Coupling of Land and Atmospheric Subgrid Parameterizations (CLASP) project, indicates that surface heterogeneity, particularly in surface fluxes, has important implications for not only surface processes but atmospheric processes as well. Previous work using large-eddy simulation (LES) shows that spatial variability in surface heating can produce significant secondary circulations that are closely related to the type and scale of heterogeneity and are not currently captured by single column sub-grid atmospheric parameterizations used in ESMs.. This presentation aims to address this persistent weakness by using a multi-column approach, where two single column models, one over a high sensible heat flux portion of a climate gridcell domain and another over a low sensible heat flux portion, are coupled through a modeled secondary circulation. 

 

To accomplish this task, we run the Cloud Layers Unified By Binomials (CLUBB) standalone single column model over a 100 km box centered at the Southern Great Plains site in Oklahoma for a variety of surface and atmospheric conditions both as a single column model, and with two coupled columns. Results are also compared to LESs that use a homogeneous surface flux field and LESs that use realistic, high resolution surface flux fields. Initial results focus on liquid water path (LWP) response to added heterogeneity for 43 day long simulations. We observed qualitatively similar responses in LWP as a result of accounting for heterogeneity induced secondary circulations in both LES and multi-column CLUBB as well as indications of clear trends in response based on the atmospheric conditions. This work indicates that a multi-column setup has significant promise for modeling the impacts of heterogeneity induced secondary circulations for application in ESMs at a fraction of the computational expense of LES. Continuing work expands this analysis to cover a wider variety of surface and atmospheric conditions, determine when multi column CLUBB has significant sensitivities to heterogeneity induced secondary circulations, and explore avenues for further simplification of the model setup.

How to cite: Waterman, T., Bragg, A., Simon, J., and Chaney, N.: Capturing the Effects of Surface Heterogeneity Induced Secondary Circulations on the Lower Sub-grid Atmosphere in Earth System Models, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10646, https://doi.org/10.5194/egusphere-egu22-10646, 2022.

EGU22-11112 | Presentations | AS2.5

Floodplain forest CO2 exchange – a micrometeorological point of view 

Natalia Kowalska and Georg Jocher

Floodplain forests play an important role in strong, mutual and continuous interaction between climate and the ecosystems, despite a relatively small total area of coverage in Europe. They are characterized by a high production level and biodiversity.

In this study we focus on the quantification of CO2 exchange attributable to the floodplain forest in Lanzhot, Czech Republic. This quantification is a critical requirement in order to estimate the CO2 balance on a local and regional scale. Lanzhot is a floodplain forest located in South Moravian Region of Czech Republic (48.6815483 N, 16.9463317 E). It’s a 122 years old, mixed deciduous-broadleaf forest. Main species are english oak, narrow-leaved ash and hornbeam. Mean ground water level reaches depth of 2.7 m.

To evaluate the ecosystem-atmosphere CO2 exchange we apply the eddy covariance (EC) method, which became a key method for measurements of energy and greenhouse gas exchange between ecosystems and the atmosphere. In recent years, case studies focused on testing and validating the applicability of the EC technique above forest ecosystems. The majority of these studies led to the conclusion that above forest canopy derived CO2 fluxes might be biased due to missing below canopy respiration components in the above canopy signal during periods of insufficient mixing (decoupling) across the canopy. As standard flux filtering methods like the u* filtering may not account for decoupling sufficiently, additional below canopy EC measurements were suggested to tackle this problem. The key assumption behind such two-level measurements is, that quantities like u* or the standard deviation of vertical wind velocity exhibit a linear relation during periods of full coupling between below and above canopy air masses.

In this study, we assess different single- and two-level flux filtering strategies with regards to decoupling and its impact on the above canopy derived CO2 fluxes. The analysis is focused on one year of concurrent below and above canopy EC measurements. Our starting hypothesis was that conventional single-level EC flux filtering strategies like the u* filtering might not be sufficient to fully capture the forest CO2 exchange at the studied ecosystem. Initial results suggest that decoupling occurs regularly at the studied floodplain forest. The implication on the above canopy derived EC CO2 fluxes, however, appears to be negligible. We attribute this to the open canopy and flat EC tower surrounding terrain which inhibits horizontal removal of below-canopy respired CO2. Overall, our study underlines the need of explicit decoupling investigations at each forest ecosystem, as decoupling is strongly site specific, depending on canopy properties, site meteorology and tower surrounding topography.

How to cite: Kowalska, N. and Jocher, G.: Floodplain forest CO2 exchange – a micrometeorological point of view, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11112, https://doi.org/10.5194/egusphere-egu22-11112, 2022.

EGU22-11198 | Presentations | AS2.5 | Highlight

The effect of soil type and crust cover on the absorption of atmospheric water vapor – laboratory and field trials. 

Pedro Berliner, Carmel Neuberger, Yang Anxia, and Agam Nurit

In arid and semiarid environments non-rainfall water inputs (NRWI) are an important source of water. In Israel's Negev desert direct absorption of atmospheric water vapor is the dominant NRWI and is strongly affected by soil properties, in particular clay content. The presence of a surface crust layer, whose physical and physico-chemical properties are substantially different from those of the underlying undisturbed substrate will likely affect the absorption patterns.  The objective of our study was to quantify the effect of soil type (loess vs. sand) and crust cover (crust vs. crust removed) on direct atmospheric water absorption.

The loess soil samples were obtained in an open field adjacent to the Jacob Bluestein Institutes for Desert Research (BIDR), Ben-Gurion University of the Negev (30˚51’ N, 034˚46’ E, 470 m a.s.l); and the sand samples from the Nizzana Sand Dune area (30˚58’N, 034˚24’E, 226 m a.s.l.).  The loess crusts were physically induced while those present on the sand samples were of biological origin.

A field experiment was carried out in the open field adjacent to the BIDR.  Four undisturbed 0.5 m depth soil samples (sand and loess with crust and with crust removed) were placed in micro-lysimeters and automatically weighed at 30 min. intervals.  This field experiment was carried during the dry season of May to October 2016.

The field study was supplemented with a laboratory experiment in which undisturbed samples (1,3, 7 and 10 cm) obtained from the above mentioned sites were used. Oven-dry samples were exposed during 6 days to constant temperature and relative humidity conditions (25±1 oC and  85±5 %, respectively)  in sealed chambers.  Mass changes were recorded at varying time intervals.   

The adsorption process in the field started in the late afternoon with the arrival of the sea breeze and ended with sun rise. On a daily basis the crusted loess sample adsorbed more water than the crusted sand sample, and the crust removed loess soil absorbed more water than the crust removed sand.  The crusted samples generally absorbed less water than the corresponding non-crusted ones.

The results of the laboratory tests showed that loess samples with crust and with crust removed absorbed similar water amounts for all sample depths throughout the study period. The crusted sand samples however absorbed systematically more water than the crust removed samples for all sample depths.

We conclude that the higher resistance of crusts to gaseous flux, a result of their higher bulk density and smaller pores, does not limit water vapor flux into the deeper soil layers and does not explain the field results.  

How to cite: Berliner, P., Neuberger, C., Anxia, Y., and Nurit, A.: The effect of soil type and crust cover on the absorption of atmospheric water vapor – laboratory and field trials., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11198, https://doi.org/10.5194/egusphere-egu22-11198, 2022.

EGU22-11630 | Presentations | AS2.5

Wind machines for fruit frost mitigation: a quantitative 3D investigation 

Yi Dai, Judith Boekee, Antoon van Hooft, Bart Schilperoort, Marie-Claire ten Veldhuis, and Bas van de Wiel

Wind machines have been increasingly used for fruit frost mitigation in the agricultural community. The basic idea of using wind machines is to bring the warm air from above to the surface and create mixing. However, the efficiency and physical mechanism of air mixing by wind machines are not fully understood from previous studies. The conclusions from previous studies are usually based on a few point measurements only and therefore limited as to abstract general guidelines. Here, a unique field experiment is presented, with high-resolution (0.25m) temperature probing at the scale of a full orchard. In combination with high-resolution numerical simulation, this allows to better understand the effects of turbulent mixing and to quantify wind machine efficiency.

In the field we employed a 9km optical fiber in two horizontal planes at heights of 1 and 2m above the surface. Through this Distributed Temperature Sensing a meshed grid with resolution of ~0.25m over ~ 6 ha is obtained. This allows to quantify the spatial and temporal variation of temperature dynamics at orchard scale. Some findings can be drawn from experimental observations. Wind machines are proved to be an effective method for frost mitigation. In our experiment, the wind machine reduced 50% and 70% of the inversion strength (7K) in an area of 3.39ha and 0.61ha respectively. The warming area strongly depended on the radial distance to the wind machine, inversion strength and advection intensity. In general, the closer distance to the wind machine, the warmer the air is. However, advection plays an important role in the shape and direction of the warming plume. With only 0.2-0.3m/s weak wind at 3-meter height, the center of the warming plume at 1m height drifted 50m in the downwind direction: The background wind in combination with the wind machine changed the warming plume to an asymmetrical ‘pear shape’.

Numerical simulations were used to investigate the sensitivity of the various settings of the wind machine. Operation modes include full 360 degrees rotation (FR), upwind (UHR) and downwind (DHR) rotation (both 180 degrees). The analysis shows that typically the upwind mode results in better mixing efficiencies than the FR and DHR cases. This may be attributed to the enhanced turbulence that is caused by the shear interaction between the machine jet and the upward wind. The evaluation of different settings of the wind machine showed that all levels of warming are generally insensitive to the rotation period (1.6 to 10min). The setting of tilting angle (9°± 3°) gives optimal warming efficiency for all operation modes. With the finding of the current study, we recommend that farmers and the agricultural community test the effectiveness of the upwind operation.

 

How to cite: Dai, Y., Boekee, J., van Hooft, A., Schilperoort, B., ten Veldhuis, M.-C., and van de Wiel, B.: Wind machines for fruit frost mitigation: a quantitative 3D investigation, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11630, https://doi.org/10.5194/egusphere-egu22-11630, 2022.

EGU22-11716 | Presentations | AS2.5 | Highlight

CO2 ecosystem-atmosphere exchange in Krakow, Poland – preliminary results from a new European Fluxes Database Cluster EC urban station 

Alina Jasek-Kaminska, Miroslaw Zimnoch, Lukasz Chmura, and Jakub Bartyzel

Urban areas, being a considerate source of CO2, at the same time are one of the most complicated ecosystems, with some uncertain components still present in the local carbon cycle. Complications with CO2 dynamics monitoring arise from high heterogeneity of the area and the presence of various sources, but also from a not entirely explored impact of urbanization on the local biosphere. There is a growing need for experimental data to verify existing CO2 emission inventories and to serve as a reliable input to climate models.

In February 2021, an eddy covariance site was established in Krakow, southern Poland, to investigate CO2 exchange in its urban ecosystem. The neighborhood of the site is highly heterogeneous, including various anthropogenic sources such as traffic, household heating, and humans themselves; however, a considerable part of the source area is covered with green, including home gardens, a soccer stadium, and a municipal park.

We present a first sight of the CO2 eddy covariance flux results that were obtained since the site was established. The city is undoubtedly a net CO2 source. A significant diurnal variation in the CO2 flux amplitude was observed in the warm season as compared to winter, with the highest positive values during the night and negative values during the day, indicating effective CO2 photosynthetic uptake. Morning and afternoon traffic peaks were not clearly pronounced: the area is highly heterogeneous and includes other sources as well that may have their own diurnal variability overlapping the traffic signal.

This project has been partially supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 958927, and the subsidy of the Ministry of Education and Science.

How to cite: Jasek-Kaminska, A., Zimnoch, M., Chmura, L., and Bartyzel, J.: CO2 ecosystem-atmosphere exchange in Krakow, Poland – preliminary results from a new European Fluxes Database Cluster EC urban station, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11716, https://doi.org/10.5194/egusphere-egu22-11716, 2022.

EGU22-12343 | Presentations | AS2.5

Water where there is no water – Atmospheric water captured by world deserts 

Nurit Agam and Dilia Kool

Atmospheric water, or non-rainfall water inputs (NRWIs) are an important source of water in arid areas. Considering the large surface area of arid and extremely arid regions, NRWIs are a critical, albeit largely overlooked, component of the global hydrological cycle.  Water vapor adsorption is not only the least studied form of NRWI but likely the most common one in arid areas. The amount of water vapor adsorption mainly depends on the gradient between water vapor pressure between the air (ea) and the soil (es).  Sea breeze, which carries moist air from the sea landward, can result in a significant daily increase in ea in desert areas. 

We have examined the diurnal cycle of soil water content derived by water vapor adsorption and evaporation in two very different deserts: the Negev (loess soil, ~100 mm y-1) and the Namib (sand dunes, ~20 mm y-1).  Water vapor adsorption into the Negev’s loess soil has been established as the dominant NRWI (with 0.3-0.5 mm night-1). Even in the Namib, which is known as a fog desert, even on nights with fog, at least half of the water accumulation occurred via water vapor adsorption, before the onset of fog (0.1-0.2 mm night‑1).  

How to cite: Agam, N. and Kool, D.: Water where there is no water – Atmospheric water captured by world deserts, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12343, https://doi.org/10.5194/egusphere-egu22-12343, 2022.

EGU22-12886 | Presentations | AS2.5

Eddy-covariance measurements and surface energy balance in almond orchards. Results and challenges. 

Juan Manuel Sánchez, Llanos Simón, Antonio Rodríguez, Ramón López-Urrea, José González, Carolina Doña, Joan Miquel Galve, and Alfonso Calera

This work is based on the energy flux measurements in almond orchards conducted in the framework of a research project focused on the water status monitoring of this crop in semi-arid environments. An eddy-covariance system was installed in a central location of a 11 ha young almond orchard in 2017 and data of the components of the energy balance equation were collected for 3 years. In 2020 the tower was moved to a nearby plot, to monitor a 10 ha mature almond orchard in this case. Both sites are located in Albacete (southeast Spain), and datasets are available through the European Fluxes Database Cluster.

The complex structure of the trees and the small size of the fields are a challenge for the characterization of the surface energy balance in almond orchards. This work analyzes the footprint area contributing to the turbulent flux measurements, as well as the energy balance closure as a function of the canopy height and the instruments deployment. Also, registered CO2 flux data allows a discussion on the behavior of the almond trees as carbon sinks in these environments.

Flux databases in woody crops are quite scarce in global networks. The measurement site introduced in this work will contribute with valuable flux data to the study of these expanding crops in semi-arid areas.

 

 

 

How to cite: Sánchez, J. M., Simón, L., Rodríguez, A., López-Urrea, R., González, J., Doña, C., Galve, J. M., and Calera, A.: Eddy-covariance measurements and surface energy balance in almond orchards. Results and challenges., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12886, https://doi.org/10.5194/egusphere-egu22-12886, 2022.

EGU22-13266 | Presentations | AS2.5

Shear-Sheltering and Its Impact on Atmospheric Turbulence 

Monique Y. Leclerc and Gengsheng Zhang

The present paper explores the role that nocturnal low-level jets exert on the lower nocturnal boundary layer. In particular, this paper investigates their role in the modulation of surface turbulence near the surface. This presentation also discusses the controversy regarding the existence of atmospheric shear sheltering over contrasting surfaces. In a seminal experiment aimed at validating the Hunt and Durbin (1999) theory, Smedman (2004) reported the existence of shear sheltering in real atmospheric conditions. However, other existing studies did not find any evidence of eddy blocking in the presence of a low-level jet near the ground despite the use of large datasets and contrasting environmental conditions. In this present presentation, an explanation is offered in the present study which reconciles all three experimental studies, thus elucidating the apparent contradiction. Furthermore, this paper conclusively supporting the presence of shear-sheltering in the presence of low-level jet. Implications for surface-atmosphere exchange in contrasting surfaces and atmospheric stabilities are discussed.

How to cite: Leclerc, M. Y. and Zhang, G.: Shear-Sheltering and Its Impact on Atmospheric Turbulence, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13266, https://doi.org/10.5194/egusphere-egu22-13266, 2022.

SSS9 – Soils, Forestry and Agriculture

EGU22-1334 | Presentations | SSS9.3 | Highlight

European grapevine moth and Vitis vinifera L. phenology in the Douro region: (a)synchrony and climate scenarios 

Samuel Reis, Joana Martins, Fátima Gonçalves, Cristina Carlos, and João A. Santos

The European grapevine moth, Lobesia botrana (Lepidoptera: Tortricidae) is considered to be the main pest in the vineyards of the Douro Demarcated Region due to the economic losses it can cause. The phenology of both the grapevine and the pest has changed in the last decades due to the increase in temperature. Therefore, we assess the potential impact of climate change on the (a)synchrony of both species. The results show that the phenological stages (budburst, flowering and veraison) undergo an advancement throughout the region (at an ~1 km resolution) under a climate change scenario (Representative Concentration Pathways, RCP8.5) for the period 2051–2080, with respect to the historic period (1989–2015). For cv. Touriga Nacional and Touriga Franca, the budburst advances up to 14 days, whereas for flowering and veraison the advancements are up to 10 days (mainly at low elevations along the Douro River). For the phenology of Lobesia botrana, earliness was also verified in the three flights (consequently there may be more generations per year), covering the entire region. Furthermore, the third flight advances further compared to the others. For both varieties, the interaction between the third flight (beginning and peak) and the veraison date is the most relevant modification under the future climate change scenario (RCP8.5, 2051–2080). The aforementioned outcomes from the phenology models help to better understand the possible shifts of both trophic levels in the region under future climate, giving insights into their future interactions. To summarize, this study provides new knowledge at a regional scale and with a medium-long term projection (2051–2080). The projection mainly takes into account the RCP8.5 climate scenario.

Keywords: Lobesia botrana; grapevine; varieties; synchrony; climate scenario; Douro Demarcated Region; phenology models; simulations; spatial-temporal map.

How to cite: Reis, S., Martins, J., Gonçalves, F., Carlos, C., and Santos, J. A.: European grapevine moth and Vitis vinifera L. phenology in the Douro region: (a)synchrony and climate scenarios, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1334, https://doi.org/10.5194/egusphere-egu22-1334, 2022.

EGU22-1704 | Presentations | SSS9.3

Modelling vine water stress during a critical period and potential yield reduction rate in European wine regions: a retrospective analysis 

João Andrade Santos, Christoph Menz, Helder Fraga, Sergi Costafreda-Aumedes, Luisa Leolini, Maria Concepción Ramos, Daniel Molitor, Cornelis van Leeuwen, and Chenyao Yang

Most European vineyards are managed under rainfed conditions, where seasonal water deficit has become increasingly important. The flowering-veraison phenophase represents an important period for vine response to water stress, which is seldomly thoroughly evaluated. Therefore, we aim to quantify the flowering-veraison water stress levels using Crop Water Stress Indicator (CWSI) over 1986–2015 for important European wine regions and to assess the respective potential Yield Lose Rate (YLR). Additionally, we also investigate whether an advanced flowering-veraison phase may help to alleviate the water stress with improved yield. A process-based grapevine model STICS is employed, which has been extensively calibrated for flowering and veraison stages using observed data at 38 locations with 10 different grapevine varieties. Subsequently, the model is being implemented at the regional level, considering site-specific calibration results and gridded climate and soil datasets. The findings suggest wine regions with stronger flowering-veraison CWSI tend to have higher potential YLR. However, contrasting patterns are found between wine regions in France-Germany-Luxembourg and Italy-Portugal-Spain. The former tends to have slight-to-moderate drought conditions (CWSI<0.5) and a negligible-to-moderate YLR (<30%), whereas the latter possesses severe-to-extreme CWSI (>0.5) and substantial YLR (>40%). Wine regions prone to a high drought risk (CWSI>0.75) are also identified, which are concentrated in southern Mediterranean Europe. An advanced flowering-veraison phase may have benefited from cooler temperatures and a higher fraction of spring precipitation in wine regions of Italy-Portugal-Spain, resulting in alleviated CWSI and moderate reductions of YLR. For those of France-Germany-Luxembourg, this can have reduced flowering-veraison precipitation, but prevalent alleviations of YLR are also found, possibly because of shifted phase towards a cooler growing season with reduced evaporative demands. Overall, such a retrospective analysis might provide new insights towards better management of seasonal water deficit for conventionally vulnerable Mediterranean wine regions, but also relatively cooler and wetter Central European regions. Acknowledgements: This study was funded by the Clim4Vitis project—“Climate change impact mitigation for European viticulture: knowledge transfer for an integrated approach”, funded by the European Union’s Horizon 2020 Research and Innovation Programme, under grant agreement no. 810176; it was also supported by FCT—Portuguese Foundation for Science and Technology, under the project UIDB/04033/2020.

How to cite: Santos, J. A., Menz, C., Fraga, H., Costafreda-Aumedes, S., Leolini, L., Ramos, M. C., Molitor, D., van Leeuwen, C., and Yang, C.: Modelling vine water stress during a critical period and potential yield reduction rate in European wine regions: a retrospective analysis, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1704, https://doi.org/10.5194/egusphere-egu22-1704, 2022.

EGU22-3058 | Presentations | SSS9.3

The GREASE project: application of dendrosciences to analyse the mechanisms for Greco grapevine acclimation to environmental variability and cultivation factors 

Veronica De Micco, Francesca Petracca, Alessia D'Auria, Chiara Amitrano, Francesco Niccoli, Simona Altieri, Arturo Pacheco-Solana, Arturo Erbaggio, Chiara Cirillo, Pierpaolo Sirch, and Giovanna Battipaglia

Vineyard productivity and grape quality are strictly linked with the pedoclimatic characteristics (e.g. soil and climate) as well as with cultivation techniques (e.g. canopy and soil management, plant nutrition). Each grapevine cultivar is characterized by specific morpho-physiological traits which determine the ability to cope with stressors. The knowledge of the plasticity of such traits is needed to forecast how vineyards would respond to climate changes. Indeed, viticulture in some areas of the Mediterranean basin, is facing sustainability problems due increase in severe and prolonged drought periods, responsible for reduction in yield and grape quality. Although to achieve quality and/or geographical indication labels, the Italian legislation imposes rainfed cultivation for grapevine, the need for irrigation introduction and management in the vineyard is becoming more and more evident. For designing the best strategies for water use in the vineyard, it is fundamental to gain knowledge on hydraulics of the specific cultivar in its pedoclimatic context. The application of dendro-sciences techniques, based on the fine study of anatomical and isotopic traits of tree-rings in the vine main stem and of their relations with environmental parameters, can help reconstructing the past plant’s eco-physiological behaviour. Here we report the results of one of the activities carried out within the GREASE project, funded by the Campania Region through the Rural Development Programme 2014-2020, in the framework of improving grapevine productivity, resource use efficiency and resilience for the sustainable management of vineyards.

The study was conducted in a vineyard of Vitis vinifera L. subsp. vinifera ‘Greco’ at the premises of Feudi di San Gregorio farm, in southern Italy (Avellino). In this study, we aimed to analyse the relations between anatomical and isotopic wood traits with climate parameters in tree-ring series from vines of two age classes which were subjected to a change in pruning technique in the past years. Wood cores and stem disks were sampled and tree-rings were dated according to dendro-chronological techniques. Then semi-thin sections of the tree-ring series were cut and analysed through light and fluorescence microscopy. Digital image analysis allowed the quantification of wood anatomical traits linked with hydraulic conductivity and vulnerability to embolism. The tree-ring series were then dissected to prepare samples for the determination of d13C and evaluate intrinsic water use efficiency. The overall wood anatomical and stable isotope parameters were analysed together with climatic data through multivariate statistical analysis.

The application of dendro-sciences technique proved to be useful to reconstruct how vines have used the water resources before and after the changing in the pruning technique. Understanding how the vine has reacted to past environmental variability and changes in cultivation factors can help forecasting how it will behave under the different climate change scenarios.

How to cite: De Micco, V., Petracca, F., D'Auria, A., Amitrano, C., Niccoli, F., Altieri, S., Pacheco-Solana, A., Erbaggio, A., Cirillo, C., Sirch, P., and Battipaglia, G.: The GREASE project: application of dendrosciences to analyse the mechanisms for Greco grapevine acclimation to environmental variability and cultivation factors, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3058, https://doi.org/10.5194/egusphere-egu22-3058, 2022.

EGU22-3908 | Presentations | SSS9.3 | Highlight

Quantification of intra-plot variability of vine water status using Sentinel-2 : case study of two Belgian vineyards 

Louis Delval, Mathieu Javaux, François Jonard, and Bruno Delvaux

For decades, vines have been grown in dry regions, as the plant has to grow under water deficit to produce quality wines. Due in part to climate change, vine cultivation is developing in historically cooler and more humid regions. In addition to climate, soil and plant material are the terroir factors that most influence the water status of the vine, and conditions can be different within the same vineyard plot, implying heterogeneous vineyard management to achieve optimal wine quality.

The objective of this study is to explore the potential of Sentinel-2 to characterize the intra-plot variability of vine water status and its evolution through time.

Two Belgian vineyards, with high soil water availability intra-plot variation and different grape varieties, were selected. Both vineyards have grass in the inter-row and the spatial distributions of soil depth and soil water holding capacity (WHC) were measured. A cumulative drought index (DIcum) was also estimated for each plot.

Four years (2018, 2019, 2020 and 2021) of Sentinel-2 images of these two Belgian vineyards were analyzed. Several spectral indices, based on the blue, red, NIR and SWIR bands on a 10 x 10 m² grid, were calculated and compared to quantify the evolution of the water status of the vine, as a function of the weather conditions (DIcum), the grape variety and the WHC. Predawn leaf water potential (Ψpd) measurements were collected in situ at different dates during dry periods in order to compare them with the remote sensing indices.

We observed that spectral indices and the WHC were better correlated when the water conditions were the most constraining for the vine (e.g. R² = 0.72 on 16/08/18 for NDWI/EVI), i.e. when DIcum is lowest. Edaphic heterogeneity is therefore better captured by spectral indices when conditions are dry for the vine. The spectral indices have a low value when the WHC is low, and vice versa. The spectral index NDWI/EVI quantifies the water status of the vine better than the NDWI, when comparing linear regressions between the two spectral indices and the Ψpd measured in the field (R² = 0.67 for NDWI/EVI; R² = 0.64 for NDWI).

In conclusion, the NDWI/EVI spectral index, measured from the Sentinel-2 bands, is promising for quantifying the spatial distribution of vine water status on a regular basis at the plot scale.

How to cite: Delval, L., Javaux, M., Jonard, F., and Delvaux, B.: Quantification of intra-plot variability of vine water status using Sentinel-2 : case study of two Belgian vineyards, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3908, https://doi.org/10.5194/egusphere-egu22-3908, 2022.

EGU22-4112 | Presentations | SSS9.3

Cabernet Sauvignon and Aglianico grapevine (V. vinifera L.) response to different pedo-climatic environments in Italy 

Eugenia Monaco, Maurizio Buonanno, Filippo Ferlito, Elisabetta Nicolosi, Angelo Sicilia, Angela Roberta Lo Piero, Riccardo Aversano, Clizia Villano, Angelita Gambuti, Raffaele Coppola, and Antonello Bonfante

Climate change affects the agricultural sector and, in particular, viticulture where water is a key factor for fruit development and quality. A scarcity of water determines a reduction in biomass production, and for some plants, as in the case of grapevine, it can endorse fruit quality.

The monitoring and management of plant water stress in the vineyard is critical as well as the knowledge of how each specific cultivar reacts to it. This study reports the preliminary results of the Italian National project “Influence of agro-climatic conditions on the microbiome and genetic expression of grapevines for the production of red wines: a multidisciplinary approach (ADAPT)”. A multidisciplinary study was carried out to compare the Cabernet Sauvignon and Aglianico, both black grapevine cultivars, responses to different pedoclimatic conditions of southern Italy. The research was conducted in Campania, Molise, and Sicilia regions, three areas devoted to high-quality wine production. In each site, the environmental characterization was designated, and the soils were characterized through a pedological survey. During 2020-2021, soil water content and the principal weather variables (e.g., temperature, rainfall, solar radiation, etc.) have been monitored by means of in situ stations, while plant responses were collected by means of field campaigns (LAI, LWP, grapes composition). The agro-hydrological model SWAP was used to solve the soil water balance in each site to determine the Crop Water Stress Index (CWSI) from April to October in the years 2020 and 2021. The obtained CWSI index was compared with data collected on plant status (e.g., LWP) and correlated to grapes quality (e.g., sugar content, acidity). Finally, the comparison between the calculated current CWSI (2020-2021) and the potential one obtained from the analysis of local reference climate has shown a significant agreement. This data underlines the appropriateness of the different pedo-climatic conditions chosen to evaluate the influence of agro-climatic conditions on the microbiome and genetic expression of wine grapevines.

How to cite: Monaco, E., Buonanno, M., Ferlito, F., Nicolosi, E., Sicilia, A., Lo Piero, A. R., Aversano, R., Villano, C., Gambuti, A., Coppola, R., and Bonfante, A.: Cabernet Sauvignon and Aglianico grapevine (V. vinifera L.) response to different pedo-climatic environments in Italy, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4112, https://doi.org/10.5194/egusphere-egu22-4112, 2022.

EGU22-4145 | Presentations | SSS9.3 | Highlight

The GREASE project to unravel how soil and canopy management can mitigate climate change effects on Greco grapevine 

Chiara Cirillo, Antonello Bonfante, Carmen Arena, Maurizio Buonanno, Francesca Petracca, Chiara Amitrano, Nicola Damiano, Arturo Erbaggio, Luigi Pagano, Rosanna Caputo, and Veronica De Micco

The pedo-climatic conditions can determine the grape varieties that can be cultivated as well as have deep influence on wine quality. Climate change has already caused significant warming and drought in most grape-growing areas of the world, particularly in the Mediterranean area where viticulture is suffering yield and grape quality reductions due to the increased frequency and duration of drought periods. Ongoing climate change is aggravating some critical issues in the production of the autochthonous grape variety 'Greco' (Vitis vinifera L. subsp. vinifera), widely cultivated in the Campania Region (southern Italy) and used alone or blend in many quality label wines. Nowadays, there is a high risk for the economic sustainability of Greco cultivation due to the following main issues: reduced vine productivity, low selling price of grapes, and territory fragmentation. Such criticisms induce the abandonment of small/medium-sized farms due to either crop conversion or consolidation into larger farms.

Although pedo-climatic conditions can affect vineyard productivity and grape quality primarily, the application of adequate cultivation techniques, such as soil and canopy management, can help alleviating the increasing constrains to vineyard sustainability. In the framework of the Rural Development Programme 2014-2020, Campania Region funded the GREASE project to contribute to the main topic of improving grapevine productivity, resource use efficiency, and resilience for the sustainable management of vineyards.

The general objective of Grease project is to improve the potential production of Greco concerns the management of major cultivation practices in viticulture by the realization of a cultivar-specific model for vine canopy and soil management. Optimization of such cultivation factors is important in order to achieve a good vegetative and reproductive balance that enhances grape and wine quality, improves farm profitability and finally provides environmental sustainability. The project is carried out in a Greco experimental vineyard of Feudi di San Gregorio winery in southern Italy (Avellino, Campania region). One of the main activities is to analyse the effect of soil management and vine training systems on the continuum soil-plant-atmosphere system. The growth and the eco-physiological traits of vines were monitored in the main phenological phases by measuring morphological parameters, fertility, leaf gas-exchanges, chlorophyll a fluorescence emission, leaf water potentials, and leaf anatomical characteristics. The meteorological data and soil water content were collected through weather stations and time-domain reflectometry (TDR) technique. Proximal sensing techniques were applied to monitor the whole vineyard performances. The production of each experimental plot was evaluated in terms of chemical characterization of musts and wines in order to assess the treatments-induced changes in oenological traits.

The preliminary results of two-years experimental trials are presented to highlighting how the canopy and soil management can influence the vine eco-physiological behavior and productive performance.

An increased understanding of how cultivation factors influence the efficient use of available resources in the Greco vineyard will allow know-how transfer to other grapevine productive systems.

How to cite: Cirillo, C., Bonfante, A., Arena, C., Buonanno, M., Petracca, F., Amitrano, C., Damiano, N., Erbaggio, A., Pagano, L., Caputo, R., and De Micco, V.: The GREASE project to unravel how soil and canopy management can mitigate climate change effects on Greco grapevine, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4145, https://doi.org/10.5194/egusphere-egu22-4145, 2022.

EGU22-4859 | Presentations | SSS9.3

A predictive model of spatial soil ECa variability in the vineyard to support the monitoring of plant status 

Carmine Cutaneo, Eugenia Monaco, Maurizio Buonanno, Raffaele Castaldo, Pietro Tizzani, Haitham Ezzy, Arturo Erbaggio, Veronica De Micco, and Antonello Bonfante

In a vineyard, plant water status variability is strongly dependent on soil spatial variability, whose physical characteristics drive the processes involved in the soil water balance. The more the soil and its characteristics vary in space (horizontally and vertically), the less homogeneous the productive and qualitative response within the vineyard will be. In this context, the proximal sensing of apparent soil Electrical Conductivity (ECa) and its monitoring during the growing season can help understanding the nature of spatial variability of vineyard, supporting both viticultural microzoning (identifying Homogeneous and functional Homogeneous Zones, HZs and fHZs) and field experiments. In this contribution, the importance of use of ECa spatial monitoring during the grapevine growing season will be showed, highlighting its importance in the evaluation of the vineyard response and identification of FHZs.

In this direction, a predictive model of soil ECa is proposed. It consists of the spatial prediction of ECa starting from punctual measurements obtained by a network of TDR probes able to measure ECA. In order to realise this model, a machine learning method based on Random Forests was used. It was trained to derive the spatial relationships between the apparent value of ECa measured with geophysical instrument and the ECa measured with the ACCLIMA TDR probes. In this way, a spatial prediction of the ECa values of the surveyed area is possible.

The study was realized in a vineyard of southern Italy on Greco (white) grapevine, where detailed and precise records on soil and atmosphere systems, in-vivo plant monitoring of eco-physiological parameters have been conducted in 2020 and 2021, and spatial variability of plant status in vineyard monitored by means of UAV multispectral images. Apparent soil ECa was measured five timesduring the growing season 2021 by using the PROFILER EMP 400 electromagnetometer both in vertical and horizontal dipole mode. This instrument allows to simultaneously work with three frequencies (5000, 10000 and 15000 Hz) and explore different depth volumes of sub-soil. The predictive model results were processed in MATLAB and Python software and validated on plant responses obtained from vegetational indexes calculated from UAV multispectral images. The obtained results have shown how the ECa can be estimated by the predictive model carrying out important information to support vineyard monitoring.

How to cite: Cutaneo, C., Monaco, E., Buonanno, M., Castaldo, R., Tizzani, P., Ezzy, H., Erbaggio, A., De Micco, V., and Bonfante, A.: A predictive model of spatial soil ECa variability in the vineyard to support the monitoring of plant status, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4859, https://doi.org/10.5194/egusphere-egu22-4859, 2022.

EGU22-4955 | Presentations | SSS9.3

Monitoring Falanghina grapevine acclimation to pedo-climatic spatial variability through a multidisciplinary approach tracing functional traits in the continuum soil-plant-atmosphere 

Nicola Damiano, Chiara Cirillo, Antonello Bonfante, Giovanna Battipaglia, Carmen Arena, Arturo Erbaggio, Francesca Petracca, Paolo Cherubini, Marco Giulioli, and Veronica De Micco

Climate-change-driven increasing temperature and frequency of prolonged drought periods are affecting vine growth and physiological behaviour in the Mediterranean region, with consequences on berry yield and quality. In this scenario, there is increasing need to improve the knowledge on how plants react to environmental fluctuations and forecast possible responses to climate changes. Moreover, the plasticity of morpho-functional aspects, on which vine acclimation relies, can vary according to the spatial variability of some environmental factors such as soil properties and microclimate in the vineyard.

The objective of this study was to analyse vine growth and production performance in four vineyards of Vitis vinifera L. subsp. vinifera ‘Falanghina’ located in southern Italy (La Guardiense farm, Campania region) subjected to different pedo-climatic conditions but characterized by vines of similar age, training system (double Guyot), spacing (≈ 4545 vines/ha). Climatic parameters were continuously monitored in each of the vineyard, through meteorological stations and FDR probes installed at three soil depths. The vineyard performance was monitored over three years characterized by different climatic conditions. Vine growth and production was monitored during the three years by quantifying morphological and eco-physiological parameters, measured in the main phenological phases, including: plant architecture, fertility, leaf anatomical traits, and grapevine photosynthetic performance through measurements in vivo of leaf gas exchanges and fluorescence chlorophyll emission. The plant nutritional status was characterized by analyzing minerals (anions, cations) and organic acids in leaves and berries. The analysis of stable isotopes in leaves, wood and must was performed to estimate the whole plant water use efficiency. Berry quality was evaluated by measuring soluble solids, pH, titratable acidity, malic acid, phenolics, anthocyanins, assimilable nitrogen etc. Microvinifications were also performed to evaluate the variability of oenological traits as well as geomorphology and pedological analyses to assess soil properties. Finally, a retrospective analysis through the analysis of anatomical and isotopic traits in tree-ring series was also carried out to achieve information on the past plant eco-physiological behaviour.

The overall analysis of data highlighted that the four vineyards can be grouped into two clusters on the basis of growth and production performance as well as of must quality, due to the spatial variability of soil properties leading to different real water availability for the plants, the different microclimates either exacerbated or mitigated by the different cultivation practices and soil management. The improvement of knowledge about the plasticity of morphofunctional traits in different pedo-climatic contexts can support forecasting future response to climatic stress conditions thus helping the management of vineyards.

How to cite: Damiano, N., Cirillo, C., Bonfante, A., Battipaglia, G., Arena, C., Erbaggio, A., Petracca, F., Cherubini, P., Giulioli, M., and De Micco, V.: Monitoring Falanghina grapevine acclimation to pedo-climatic spatial variability through a multidisciplinary approach tracing functional traits in the continuum soil-plant-atmosphere, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4955, https://doi.org/10.5194/egusphere-egu22-4955, 2022.

EGU22-5415 | Presentations | SSS9.3

The use of multi-level and multi-scale spectral data approach to evaluate the vineyard status. 

Haitham Ezzy, Anna Brook, Eugenia Monaco, Maurizio Buonanno, Rossella Albrizio, Pasquale Giorio, Arturo Erbaggio, Carmen Arena, Francesca Petracca, Chiara Cirillo, Veronica De Micco, and Antonello Bonfante

Abstract

Currently, the main goal of agriculture is to promote the resilience of agricultural systems in a sustainable way through the improvement of use efficiency of farm resources, increasing crop yield and quality, under climate change conditions. This last is expected to drastically modify plant growth, with possible negative effects especially in arid and semi-arid regions of Europe on the viticultural sector. In this context, the monitoring of spatial behavior of grapevine during the growing season represents an opportunity to improve the plant management, winegrowers’ incomes, and to preserve the environmental health, but it has additional costs for the farmer. Nowadays UAS equipped with a VIS-NIR multispectral camera (blue, green, red, red-edge, and NIR) represents a good and relatively cheap solution to assess plant status spatial information (by means of a limited set of spectral vegetation indices), representing important support in precision agriculture management during the growing season. While differences between UAS-based multispectral imagery and point-based spectroscopy are well discussed in the literature, their impact on plant status estimation by vegetation indices is not completely investigated in depth. The aim of this study was to assess the performance level of UAS-based multispectral (5 bands across 450-800nm spectral region with a spatial resolution of 5cm) imagery, reconstructed high-resolution satellite (Sentinel-2A) multispectral imagery (13 bands across 400-2500 nm with a spatial resolution of <2 m) through Convolutional Neural Network (CNN) approach, and point-based field spectroscopy (collecting 600 wavelengths across 400-1000 nm spectral region with a surface footprint of 1-2 cm) in a plant status estimation application, and then, using Bayesian regularization artificial neural network for leaf chlorophyll content (LCC) and plant water status (LWP) prediction. The approach was realized within the Italian regional project GREASE, in an experimental vineyard of Greco of Feudi di San Gregorio winery (southern Italy), where detailed and precise records on soil and atmosphere systems, in-vivo plant monitoring of eco-physiological parameters have been conducted.

Keywords: precision agriculture, vineyard monitoring, spectral measurements, CNN applied to viticulture, UAS.

How to cite: Ezzy, H., Brook, A., Monaco, E., Buonanno, M., Albrizio, R., Giorio, P., Erbaggio, A., Arena, C., Petracca, F., Cirillo, C., De Micco, V., and Bonfante, A.: The use of multi-level and multi-scale spectral data approach to evaluate the vineyard status., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5415, https://doi.org/10.5194/egusphere-egu22-5415, 2022.

EGU22-5604 | Presentations | SSS9.3

Can the use of basalt dust mitigate the drought stress effects in grapevine? Setup of monitoring approach and protocols in a case study on Falanghina in Southern Italy 

Francesca Petracca, Chiara Cirillo, Antonello Bonfante, Carmen Arena, Marco Giulioli, Arturo Erbaggio, Nicola Damiano, Rosanna Caputo, and Veronica De Micco

In the inland of Southern Italy, climate change puts viticulture at risk of sustainability. Cultivar-specific cultivation techniques, also designed to suit peculiar pedoclimatic conditions of the vineyard, are needed to stabilize the productivity of vines, increase the grape quality, and improve the use efficiency of resources. Currently, the Italian legislation requires that vineyards are cultivated as rainfed to achieve quality and/or geographical indication labels. However, climate forecast models indicate that in the next decades there will be an increase in severity and duration of drought events that will affect the growth and productivity of vines beyond a threshold level making rainfed vineyards unsustainable.

The aim of this study was to verify whether foliar applications of basalt dust can mitigate the negative effects of drought stress in a vineyard of Falanghina grapevine in Southern Italy. The vineyard is in an inland area of Campania Region, at the premises of the La Guardiense farm, in Guardia Sanframondi, Benevento. A pedological survey, supported by a geophysical campaign, was performed to detect the soil spatial variability of the area and to identify the four subplots where the following treatments were imposed: 1) rainfed with the application of basalt powder on the leaf surface during the vine vegetative-productive cycle (i.e. from April to September); 2) rainfed,without distribution of basalt powder; 3) irrigated, with basalt powder; 4) irrigated, without basalt powder. The irrigation plan was defined weekly, applying a model considering precipitation and evapotranspiration, to reintegrate the water losses by transpiration. The growth and the ecophysiological traits of vines were monitored in the main phenological phases by measuring morphological parameters, fertility, leaf gas-exchanges, chlorophyll a fluorescence emission, leaf water potentials, and leaf anatomical characteristics, while the meteorological data and soil water content were collected through weather stations and time-domain reflectometry (TDR) technique. The production of each experimental plot was evaluated in terms of chemical characterization of musts and wines in order to assess the oenological potential. Specific attention was paid to the setup of protocols for ecophysiological measurements to avoid bias and evidence the occurrence of possible photoprotection mechanisms. Results of the first year of experiments indicated the occurrence of interaction between the two main factors in a year particularly dry. The repetition of the experiments in the next years will allow us to unravel both the interference with climatic variability and the long-term effects due to the combination of factors.

How to cite: Petracca, F., Cirillo, C., Bonfante, A., Arena, C., Giulioli, M., Erbaggio, A., Damiano, N., Caputo, R., and De Micco, V.: Can the use of basalt dust mitigate the drought stress effects in grapevine? Setup of monitoring approach and protocols in a case study on Falanghina in Southern Italy, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5604, https://doi.org/10.5194/egusphere-egu22-5604, 2022.

EGU22-8199 | Presentations | SSS9.3

Soil organic matter accumulation in vineyards as a function of cultivar and parent material 

Claudio Zaccone, Sara Elena Goldoni, Beatrice Giannetta, Giorgio Galluzzi, and Cesar Plaza

The aim of this work was to understand of how parent material and plant cultivar interactively control soil organic matter (SOM) accumulation and stabilization in vineyards.

Three experimental vineyards located in the Valpolicella area (North of Italy) were investigated. These sites were very close each other and, consequently, characterized by the same climatic conditions; at the same time, the corresponding soils developed from completely different parent materials (volcanic vs. calcareous). Two autochthonous grapevine (Vitis vinifera L.) cultivars, planted in 2003 and grown in organic system (no fertilization), were selected in all sites, and the corresponding soils sampled in triplicate with a 10-cm depth resolution. An uncultivated soil profile for each site was used as a control.

Soil samples (n. 88) were characterized for pH, EC, bulk density, total organic C (TOC), total N (TN), texture and major and trace elements. Moreover, particulate organic matter (POM) and mineral associated organic matter (MAOM) fractions were isolated and characterized by elemental analysis (CHNS).

Control soils showed different organic C stocks, ranging from 27 in the volcanic soil with a loamy sand texture to 90 t/ha in the two calcareous soils with a clay texture. A similar trend was observed for TN, ranging from 2 in the volcanic soil to 9 t/ha in the calcareous soils. Moreover, 2/3 of TOC were recovered as MAOM in both clay soils, whereas POM was the main fraction in the volcanic, loamy sand soils.

The cultivation of grapevine affected SOM accumulation. In particular, an increase (1.3-1.5×) of both TOC and TN in the top 30 cm of soil was observed in 2 out of 3 sites, while an opposite trend (0.7×) was recorded in one site. Preliminary data suggest that SOM accumulation is promoted in vineyard soils with lower organic C contents (and a wide range of texture) and through different mechanisms, whereas the cultivar factor did not affect TOC and TN stocks.

 

Acknowledgements

CZ thanks the Cantina Valpolicella Negrar for allowing soil sampling in its experimental vineyards.

How to cite: Zaccone, C., Goldoni, S. E., Giannetta, B., Galluzzi, G., and Plaza, C.: Soil organic matter accumulation in vineyards as a function of cultivar and parent material, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8199, https://doi.org/10.5194/egusphere-egu22-8199, 2022.

EGU22-13367 | Presentations | SSS9.3 | Highlight

Effects of weed management on soil biophysical properties and vine physiology in an English vineyard 

Marcos Paradelo Perez, Lucie Büchi, and Flora O'Brien

Climate change threatens traditional wine regions with rising temperatures and irregular rainfall patterns. Meanwhile, this is an opportunity for cooler regions to grow quality wines. In Great Britain, the land dedicated to vineyards has quadrupled since 2000 to 3,800 hectares at present. The establishment and management of these new vineyards affect soil processes that underpin ecosystem services and agriculture sustainability. The lack of long-term soil management data in the new wine regions requires the development of experiments and models that inform growers of the best practices regarding their pedoclimatic constraints. One important vineyard operation is the control of weeds under vine rows. The progressive reduction in herbicides has given way to mechanical alternatives that may lead to further soil disruption.

In this study, we investigated the effect of different weeding operations on soil biophysical properties and vine physiology in the newly developing wine region in the South East of England. A trial was established in 2018 at the NIAB EMR research vineyard (Kent, England) as part of the Horizon2020 project “Integrated Weed Management: Practical Implementation and Solutions for Europe” (IWMPRAISE) consisting of four weed management systems: 1. blade mechanical weeder, 2. serrated disc mechanical weeder, 3. herbicide application, and 4. mowing. In 2021, we collected soil samples before (April) and after (September) the application of the weeding treatments.  The soil microbial community composition has been characterized by 16S and ITS metabarcoding. Aggregate stability has been measured using SLAKES app. Yield, Nitrogen Balance Index, and vine vigour were measured to evaluate plant physiological development together with grape quality parameters.    

We will discuss the changes in soil structure and microbial community composition under the different weed control management and how they are linked to vine physiology (vigour and foliar nutritional status), must quality attributes, and yield.

How to cite: Paradelo Perez, M., Büchi, L., and O'Brien, F.: Effects of weed management on soil biophysical properties and vine physiology in an English vineyard, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13367, https://doi.org/10.5194/egusphere-egu22-13367, 2022.

EGU22-72 | Presentations | SSS9.4

Biosolids Derived DOM Increases Phosphate Adsorption in Mediterranean Soils‏ 

Yaniv Freiberg, Pinchas Fine, Michael Borisover, and Shahar Baram

Contradictory data exists on the impact of dissolved organic matter (DOM) from biosolids on ortho-phosphate (IP) binding to soils constituents. On the one hand, DOM contain carboxylic acid and phenolic groups who compete with IP on common adsorption sites. On the other, biosolids addition was reported to increase the adsorption capacities of some soils. This study aims to investigate the effect of DOM extracted from compost sewage sludge (most of which smaller then 1kDa) on the Langmuir sorption capacity and affinity of IP to five soils encompassing a wide range of mechanical, chemical, and mineralogical properties. It's important to note that the dominant cation in the used soils is Ca2+. Sorption experiments were conducted using two different solutions (10mM NaCl and 5mM CaCl2) with and without DOM (810 mg OC kg-1). Without DOM, in all of the montmorillonitic soils, the obtained IP adsorption capacities were higher in the 5mM CaCl2 than in 10mM NaCl solutions, with no effect on kaolinitic soils. While DOM addition to 10mM NaCl solution increased the IP adsorption capacities by 9 to 94%, in 5mM CaCl2 no effect has been observed. In 10mM NaCl, increased adsorption capacities were accompanied by a significant decrease in the adsorption affinities.

Our results show that both Ca2+ and DOM can affect IP sorption parameters of montmorillonite-dominated soil. In such soils, when the ionic strength is higher than the flocculation value of the clays, and the pH is higher than the clays' point of zero charge, face-to-face interactions lead to tactoids formation. Thus, reducing the spillover effect, and increasing the amount of free sorption sites on the clays' broken edges (as observed in the case of 5mM CaCl2 without DOM). Furthermore, when DOM is added to montmorillonite-dominated soil, it can complex with the clay's negative planer surfaces through a multitude of reactions (in our case, mostly with Ca2+ bridging) and adsorb IP. Thus, increasing the overall adsorption capacity while reducing the affinity. Both clay flocculation and complexation processes occur concomitantly. In kaolinite, isomorphic substitutions and conformational changes rarely occur. Hence, Ca2+ addition will not foster tactoid formation or DOM complexation. To conclude, DOM effect on IP sorption is not straight forward and depended on the soil and biosolids used, and the overall affect is the equilibrium of multiply reactions the occur simultaneously.

How to cite: Freiberg, Y., Fine, P., Borisover, M., and Baram, S.: Biosolids Derived DOM Increases Phosphate Adsorption in Mediterranean Soils‏, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-72, https://doi.org/10.5194/egusphere-egu22-72, 2022.

Background: The EU’s Farm to Fork strategy sets the objective of reaching “at least 25% of the EU’s agricultural land under organic farming by 2030” and Finland is still below that threshold. We set out to estimate the expected GHG emissions were the local organic cereal production be increased to 25%.

Methods: EX-Ante C-balance Tool (EX-ACT) was chosen for the assessment. It is a freely available spreadsheet-based approach developed by the FAO, aiming to provide a cost-effective calculation of the impact of agricultural, forestry and fishery projects on carbon-balance. EX-ACT can be used by solely providing data on project activities and relying on recognized default values for emission factors and carbon values (Tier 1) to calculate GHG emissions. Result precision can be increased through region-specific values (Tier 2), if known and available. The choice of using EX-ACT for the case study was two-fold: (1) to see the appropriateness of its Tier 1 results, and (2) to showcase a use for ARMOSA model results for Tier 2 refinement [the model is presented in a separate abstract].

5-year average statistical data was used for harvest areas and yields. Other input values (e.g chemical inputs, machinery use) were based on experimental and literature data. Estimates were calculated for  “business-as-usual” (organic production in Southeast Finland and South Savo ELY-centers are 15.3% and 18% of the arable land, respectively), Scenario 1 (overall cereal production area identical, i.e., 75,000 ha, increase to 25% organic production, conventional and organic yields remain the same), and Scenario 2 (as Scenario 1, but organic yields are increased by 10%).

Results: Tier 1 results (that use default values for e.g. rates of soil C seq.) estimate that currently all cereal production in the project area results in soil C sequestration, from field to farm gate (from field preparation to chemical fertilizer production to planting and harvesting). “Business as usual” resulted in -0.1 tCO2eq/ha/yr, Scen. 1 and 2 both -0.4 tCO2eq/ha/yr. This is largely due to the broad management practice categorisations that EX-ACT makes to stay cost-effective and with low data requirements resulting in underestimated CO2 emissions from organic soils.

Tier 2 results estimate that the soil C sequestered by organic fields does not fully compensate emissions originated from the use of fertilizers, fuel, etc. in the studied area. “Business as usual” resulted in +1tCO2eq/ha/yr emitted, while Scen. 1 and 2 both +0.6tCO2eq/ha/yr. These results are in line with previous LCA studies showing that organic practices can lower emissions but are not sufficient to achieve neutrality by implementing EU’s Farm to Fork strategy.

Acknowledgements: This work is as part of the EFSOA project Environmentally Friendly Smart Organic Agriculture (KS 1798), South-East Finland-Russia Cross-Border Cooperation Programme, funded by the EU, the Russian Federation, and the Republic of Finland (https://efsoa.ru/engmain).

How to cite: Medyna, G. and Valkama, E.: Shifting towards more organic cereal production: estimation of expected GHG emissions in Southeast Finland and South Savo using EX-ACT, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-973, https://doi.org/10.5194/egusphere-egu22-973, 2022.

EGU22-2269 | Presentations | SSS9.4 | Highlight

Soil organic carbon and nitrate leaching loss in organic and conventional farming systems for the current and near future climate 

Elena Valkama, Alessia Perego, and Marco Acutis

In Finland, nitrate (N) leaching loss and soil organic carbon (SOC) decrease are current environmental threats. The aim of the study is to simulate soil C dynamic and N leaching loss for conventional (C) and organic (O) farming systems producing either crops or livestock in South Savo (Finland). Simulations were carried out by using the process-based model ARMOSA for both current (1999-2018) and near future climate scenarios (2020-2040, RCP 6.0: annual change + 0.8 °C, –70 mm). Daily meteorological data from Mikkeli station, and the statistical data in the region during the last 20 years served as model inputs.

Five-year crop rotations were simulated on loamy sand soil (C 3.5 %, C/N ratio 17, pH 6.2).  In crop farm, rotations included cereals (with fodder pea in the organic farm), oilseed rape and grass, while in the livestock farm, the rotation consisted of two years of cereals followed by a 3-year fescue and timothy meadow (with clover in the organic farm). In the crop farm, we simulated three conventional cropping systems: mineral fertilizer with either crop residues removed (C1–R) or incorporated into soil (C1+R), mineral fertilizer + slurry, residues incorporated (C2+R); and two organic systems: green manure (O1+R) or meat and bone meal-based commercial organic fertilizer, Ecolan Agra® (O2+R). In the livestock farm, we simulated conventional and organic cropping systems: mineral fertilizer + slurry with either residues removed (LC–R) or incorporated into soil (LC+R); slurry with either residues removed (LO–R) or incorporated (LO+R).

 The results showed that conventional crop production systems led to relevant SOC decline of 500-750 kg ha–1yr–1 at 0-30 cm soil depth, while organic systems showed either less SOC decline (120 kg ha–1yr–1) as in O1+R, or slight SOC increase (55 kg ha–1yr–1) as in O2+R. Under the future climatic conditions, the model estimated a faster degradation of SOC for all the cropping systems, except for O2+R that still resulted in a negligible SOC increase. Annual N leaching predicted to be about 10 kg NO3-N ha–1 yr–1 for conventional crop farm, while 3 kg NO3-N ha–1 yr1 for organic crop farm with green manure. Under the future climate scenario, conventional cropping systems are prone to an increased N leaching loss, up to 20 kg NO3-N ha–1 yr–1, but organic systems do not.

The simulation of livestock farm showed a loss of SOC about 25-160 kg ha–1yr–1 in LC–R, LC+R and LO–R, while a small SOC increase of 20 kg ha–1yr–1 in LO+R.  Annual N leaching loss varied between 6 and 9 kg NO3-N ha–1 yr1 with very little differences between organic and conventional systems due to use of perennial grass in rotation and slurry as N-fertilizer. In the future climate, the model forecasted an overall increase of SOC losses for all systems, and the larger N loss in organic livestock farm, up to 15 kg ha–1 yr–1.

In conclusion, the modelling results suggest that organic crop production farms can be more environmentally friendly per unit area compared to conventional farms, particularly under the future climate scenario. 

How to cite: Valkama, E., Perego, A., and Acutis, M.: Soil organic carbon and nitrate leaching loss in organic and conventional farming systems for the current and near future climate, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2269, https://doi.org/10.5194/egusphere-egu22-2269, 2022.

EGU22-2713 | Presentations | SSS9.4 | Highlight

Organic versus conventional food emissions under different carbon footprint metrics 

Maria Vincenza Chiriacò

One of the most well-known and appreciated characteristics of organic food is the lower pesticide residual which reduces the risks for human health. Moreover, the main benefit clearly recognized to the organic farming is the environmental sustainability compared to conventional ones, with a minor pressure of chemicals, reduced negative impacts on biodiversity and water quality and improved agricultural soil and vitality. However, the effect of organic farming on global warming and climate change mitigation is instead a still open debate in the scientific community. Depending on the boundary of the study, the adopted methodology, the soil and climatic characteristic of the agrosystem, the analyzed crops and the availability of primary data, different studies in literature provide diverse and even opposite results: organic farming is considered to perform better in some cases and worse in other cases in terms of contribution to climate change, compared to conventional farming.

The carbon footprint (CF) is one of the most used indicators to measures the contribution to climate change in terms of GHG emissions with different metrics (e.g. GHG per unit of product or per unit of land). With the aim to contribute to a more informed debate on the actual contribution to climate change in terms of GHG emissions of organic and conventional agriculture, we carried out a systematic analysis of the existing peer-reviewed studies allowing an unbias comparison of product-based vs land-based CF.

The results of the review show that organic food has on average lower impact on climate than conventional ones both when the CF is assessed per area unit (-43% GHG emissions, average) and per product unit (-12% GHG emissions, average), solving the existing scientific debate in favor of the organic food production, being more sustainable both in terms of total climate altering gases released in atmosphere and in terms of GHG emission intensity per product.

According to these results and in view of the global climate policies’ targets which foster organic food production and the transition to sustainable diets, a potential full conversion of the actual global croplands into organic lands would nearly halve the emissions from the land sector, from the current 11 GtCO2eq yr–1 to 6 GtCO2eq yr–1.

How to cite: Chiriacò, M. V.: Organic versus conventional food emissions under different carbon footprint metrics, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2713, https://doi.org/10.5194/egusphere-egu22-2713, 2022.

EGU22-4855 | Presentations | SSS9.4

Long-term forest soil warming decreases soil total P pools and negatively affects biotic P processes by promoting abiotic P sorption processes 

Ye Tian, Chupei Shi, Carolina Urbina Malo, Steve Kwatcho Kengdo, Jakob Heinzle, Erich Inselsbacher, Franz Ottner, Werner Borken, Andreas Schindlbacher, and Wolfgang Wanek

Phosphorus (P) is an essential element for all organisms, received increasing attention in global change research. Current P-related climate warming studies have mainly addressed warming effects on soil and plant P pools, but how soil P cycling processes respond to elevated temperatures has remained largely uncertain. In this study we investigated the effect of soil warming on both, soil P pools and P cycling processes (applying the 33P isotope pool dilution technique) across different soil depths (0-10 and 10-20 cm) and seasons (spring, summer, autumn) during the 15th year of soil warming (+4 °C) in a mature temperate mountain forest, in Achenkirch, Austria. Long-term warming decelerated the gross rates of phosphate (Pi) mobilization by 21%, reducing the soil Pi input. The decreased gross Pi mobilization was in part attributed to substantial losses of soil total P pools (substrates), which likely was caused by increased dissolved organic P leaching to deeper soil layers in the warming treatment. Abiotic immobilization increased in the warming treatment, due to increased sorption of Pi to iron oxyhydroxides and clay, further reducing soil Pi availability. Moreover, warming decreased biotic Pi immobilization and microbial biomass P, and as a response, microbial communities allocated more energy and nutrients into the production of acid phosphatase, indicating a strong shift in microbial carbon and nutrient allocation in response to the decreased P availability. According to linear mixed-effects models, most of the responses of the measured P pools and processes showed no interactions between warming and soil depth and/or season, indicating consistent effects of long-term soil warming on the P cycle across different soil depths and seasons. Overall, this study highlights for the first-time how long-term soil warming affects (biotic and abiotic) soil P processes and their interactions with soil P pools. Besides, it also indicates the potential of how P constraints can affect other biogeochemical cycles in response to warming.

How to cite: Tian, Y., Shi, C., Urbina Malo, C., Kwatcho Kengdo, S., Heinzle, J., Inselsbacher, E., Ottner, F., Borken, W., Schindlbacher, A., and Wanek, W.: Long-term forest soil warming decreases soil total P pools and negatively affects biotic P processes by promoting abiotic P sorption processes, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4855, https://doi.org/10.5194/egusphere-egu22-4855, 2022.

EGU22-5046 | Presentations | SSS9.4

Abandoned agricultural soils from the central part of the Yamal region 

Vjacheslav Polyakov and Evgeny Abakumov

The post-anthropogenic and soil cover transformations of former agricultural soils on the abandoned lands in the Russian Arctic territory are poorly investigated due to the active growth of the city complex and increasing area occupied by agricultural lands. That is lead to an increase in the area of the arable lands surrounding the polar urbanized territories. Today, most of that land allocated for agricultural needs has been abandoned or affected by other types of land use. This study aimed to investigate the abandoned lands surrounding some of the settlements in the central part of the Yamal region. The soil diversity, morphology, and chemical and agrochemical properties were investigated with special reference to the specific transformations that occur to fallow lands under permafrost-affected cryogenic-ecosystem conditions. Analysis of data show that these soils are characterized by features relating to both, previous (and existing), anthropogenic impacts and to natural processes such as cryogenic mass transfer. Based on the analysis of agrochemical properties and features of soil formation in Salekhard city and its surroundings it can be concluded that: (1) The predominance of sandy textured parent materials in the surroundings of the urbanized territories in the central Yamal region was the key reason why these locations and substrata were chosen for the organization of agricultural farms and related practices. Due to the prevalence of clayey textured parent material across the main territories of the Yamal region, agricultural practices were based on using the arable lands and are strongly localized on quaternary sands. (2) The key nutrient content in the fine earth fraction (i.e., nitrogen and potassium in the soils) can serve not only to assess soil fertility, but also reflects current changes resulting from anthropogenic impacts on the urban ecosystems. Most soil samples showed high nutrient levels. However, in some cases, a relatively high nutrient content was also found in the lower horizons, with a large amount of Al and Fe hydroxides. (3) Due to the post-agrogenic transformation of the agropodzols, the upper horizons of the profile are acidified, which has led to increased eluvial removal (leaching) of materials, yet it still shows a clear arable horizon two decades after the last agricultural use of the soil. In the future, the intensity of the eluvial processes will increase, which after 60 years can lead to a complete degradation of the arable horizon. A superimposed type of postagrogenic evolution then begins. with the formation of a complex soil profile that combines the characteristics of the natural original soil, agropodzol, and a secondary podzol, which develops on top of the agropodzol.

 

This work was supported by Federal budget of Russian Federation, grant for support for the creation and development of a World –class Scientific Center “Agrotechnologies for the Future”, project No. 075-15-2020-922

How to cite: Polyakov, V. and Abakumov, E.: Abandoned agricultural soils from the central part of the Yamal region, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5046, https://doi.org/10.5194/egusphere-egu22-5046, 2022.

EGU22-6160 | Presentations | SSS9.4

Animal bone chars as sorbents and providers of ammonium nitrogen from biogas digestates 

Gerhard Soja, Anders Sörensen, Bernhard Drosg, Wolfgang Gabauer, Alexander Schumergruber, Gerald Dunst, Daniela Meitner, Elena Guillen, Markus Ortner, and Christoph Pfeifer

Biochars are well-known for their high sorption capacity of cationic substances. Whereas the pyrolysis of vegetation-based feedstock produces biochar with high carbon concentrations (70-90 %), these chars contain only very small fractions of plant-relevant macronutrients with good bioavailability. The usage of animal bones as pyrolysis feedstock, however, produces phosphorus-rich biochars (10-15 % P) that are low in carbon (10-20 % C). The deficiency in nitrogen of these bone chars can be compensated for by sorbing nitrogen prior to use them as soil improvers.

Among the different possibilities to enrich nitrogen-poor biochars with ammonium, the use of biogas digestate is one of the most promising options in terms of nitrogen recycling and reduction of gaseous nitrogen losses. Direct applications of biogas digestate may result in high ammonia losses during spreading of the liquid and in the first days after soil incorporation. The use of membrane distillation for separating digestates into an ammonium-enriched and an ammonium-poor fraction allows the use of a sorbate with up to 10 g NH4+ L-1 that can be used to enrich bone chars with easily bioavailable nitrogen.

Based on measurements of cation exchange capacity (CEC), it appears that ion exchange plays an important role in the sorption of ammonium. Bovine bone char showed higher CEC than pig bone char. Apparently, the nitrogen enrichment of bone char from ammonium sulfate solutions had increased the availability of the preexisting bone char nitrogen by acting as a mild acid. By testing the nitrogen availability of N-enriched bone chars with a standardized plant test (“Neubauer-Test”), we observed that chars enriched with the biogas digestate ammonium-rich fraction were able to significantly improve the performance of bone char-treated plants (+135 % in plant dry matter, +130 % in plant N uptake compared to non-enriched bone char). This result was achieved by using bovine ribs as pyrolysis feedstock and biogas digestate from the same abattoir that had produced the cattle bones as residues from carcass processing for food production. This case study could show that the combined use of liquid and solid abattoir wastes is able to produce an efficient organic NP-fertilizer and replacement for mineral fertilizer.

Acknowledgments: The authors are grateful to the Austrian Federal Ministry for Climate Action, Environment, Energy, Mobility, Innovation and Technology via the Austrian Research Promotion Agency (FFG: “Produktion der Zukunft”, 24th call, project nr. 864849) for financial support of the project NutriCoal.

 

How to cite: Soja, G., Sörensen, A., Drosg, B., Gabauer, W., Schumergruber, A., Dunst, G., Meitner, D., Guillen, E., Ortner, M., and Pfeifer, C.: Animal bone chars as sorbents and providers of ammonium nitrogen from biogas digestates, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6160, https://doi.org/10.5194/egusphere-egu22-6160, 2022.

EGU22-6426 | Presentations | SSS9.4

Physicochemical and morphological features of unique example of agrosoil in Russian Arctic 

Timur Nizamutdinov, Evgeny Abakumov, Evgeniya Morgun, and Azamat Suleymanov

Agricultural practices beyond the Arctic Circle are currently being actively discussed both within the Circumpolar Agricultural Association. Arctic farming has a long history, for example, research on forage and vegetable growing, which were conducted at the Yamal zonal vegetable experimental station (which located in vicinities of Salekhad city, 66.5° North latitude). This station up to the collapse of the Soviet Union gave not only scientific results for agricultural science and give indirect results in the form of constructed unique soils with more than a century of history. At present, the field is a 2-year abandoned ground covered with meadow cereal-grass vegetation.

Long-term agricultural usage of this area resulted in the formation of a unique soil profile, fundamentally different from the common soils of the region. Over almost a century of agricultural activities, there was formed a powerful (up to 30 cm) humus-accumulative (Ap) horizon. The humus-accumulative horizon is underlain by a thick (45 cm) Iron-illuvial, with placic layers horizon (Bs), which changes into sandy horizons BCg and Cg with reductimorphic spots (Soil name: Plaggic Podzol (Turbic)).

Soils of tundra of Western Siberia are normally acidic, which caused measures to be taken to regulate the acidity/alkalinity regime of the soil when it was used in agriculture, but even at present the soil of Yamal experimental station is acidic (pH H2O 4.8-5 in the topsoil). Acidity decreases down the profile to close to neutral (pH H2O 6.6) in the Cg horizon. The soil organic carbon content in the humus-accumulative horizon is up to 2%, and its stock is 6912 g/m2. In the middle and deep horizons, the carbon content highly decreases to 0.02 % in the Cg horizon.

That soil is enriched with basic nutrients; the content of mobile phosphorus in Ap horizon is up to 450 mg/kg, mobile potassium - 60 mg/kg, with peak values occurring at the lower border (20-30 cm) of the humus-accumulative horizon, indicating the presence of eluviation processes. The content of mineral forms of nitrogen is low: ammonium nitrogen - 6 mg/kg in topsoil, 2.6 mg/kg in deep horizons; nitrate nitrogen - 21.5 mg/kg in topsoil, 0.22 mg/kg in deep horizons.

Literally, a century history of science-based farming makes the soil of the Yamal experimental agricultural station unique, it deserves not only a detailed study, but perhaps even assignment of the status of a protected natural object. There are almost no such objects still left in the Arctic zone of the Russian Federation and it is critical to prevent its loss due to the growing urbanization in the Arctic region.

This paper is supported by the Ministry of Science and University Education of the Russian Federation under agreement № 075-15-2020-922

How to cite: Nizamutdinov, T., Abakumov, E., Morgun, E., and Suleymanov, A.: Physicochemical and morphological features of unique example of agrosoil in Russian Arctic, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6426, https://doi.org/10.5194/egusphere-egu22-6426, 2022.

P availability to trees is often limited by local environmental soil conditions that increase its fixation to soil minerals. In certain regions, atmospheric P inputs can compensate for low soil P availability. Among atmospheric P sources, desert dust is the most dominant. However, currently, the effects of desert dust on the P nutrition and its uptake mechanisms by forest trees is unknown.  

Here we hypothesize that forest trees which naturally grow on soils with high soil P fixation capacity can acquire P from desert dust deposited on their leaves via direct foliar uptake.

We performed a controlled greenhouse experiment with 3 forest tree species. The trees were applied with desert dust directly upon their foliage. Our findings shows that direct uptake of P from desert dust can be an alternative P uptake pathway for various tree species and highlight that desert dust can serve as an important P source to forest trees.      

 

How to cite: Starr, M., Gross, A., and Klein, T.: Forest trees can acquire Phosphorus from atmospheric dust deposition directly via the foliageForest trees can acquire Phosphorus from atmospheric dust deposition directly via the foliage, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8521, https://doi.org/10.5194/egusphere-egu22-8521, 2022.

EGU22-9623 | Presentations | SSS9.4

Assessing phosphorus availability to paddy rice: soil testing and plant responses 

Sara Martinengo, Michela Schiavon, Veronica Santoro, Daniel Said-Pullicino, Luisella Celi, and Maria Martin

The optimization of P fertilization in paddy rice fields requires an accurate estimation of soil P availability to balance rice productivity and ecosystem preservation.  While there are several generally accepted methods to evaluate P availability to crops grown in aerobic soils, the available P pool in paddy soils cannot be so easily assessed. Phosphorus cycle in paddy soils is closely linked to Fe redox wheel and conditioned by the complex interactions between soil characteristics and plant strategies to promote P uptake. The aim of this study was the identification of the method that best estimates P availability for rice plants while taking into account the complex interactions between soil (bio)geochemistry and plant responses.

Twelve representative paddy soils have been selected and analyzed for available P with different methods (calcium chloride, Olsen, Mehlich-3, anion exchanging resins, EDTA, citrate/ascorbate and oxalate). In the same soils, rice plants were grown for 60 days; during this period temporal variation of soluble P and Fe(II) in the soil solution was monitored. The plants were then harvested and the roots and shoots biomass, the P content in plant tissues, the expression of the root phosphate transporter encoding genes and the root activity of phytase and phosphatase were determined.

During the growing period, the soluble P concentration in the soil solution increased during the first 3-4 weeks, following the same trend of Fe(II), then it decreased, probably due to plant uptake and P-Fe co-precipitation. Both biomass and P concentration in the tissues were affected by soil P content. The extraction with resins was the best predictor for plant productivity and P uptake, followed by CaCl2 and Olsen extraction. The extractants involving the partial dissolution of the sorbing minerals (i.e., oxalate and citrate/ascorbate) showed a poorer, although still significant correlation with P concentration in rice plants, but a higher performance in terms of organic P. Phosphatase activity was greater than phytase in all cases; the former did not significantly differ among soils, while the latter was higher in those soils releasing more P in solution during the growing period and was correlated with P concentration in plants. In low P soils a higher expression of root transporter encoding genes was observed, particularly those at high-affinity.

Although resins, CaCl2 and Olsen extractions are confirmed as useful tools for the prediction of P availability even for paddy rice cultivation, in P-deficient soils the enhancement of enzymatic activity and the overexpression of root P-transporters increased the capacity of plant P uptake above the prediction of the chemical extractants.

How to cite: Martinengo, S., Schiavon, M., Santoro, V., Said-Pullicino, D., Celi, L., and Martin, M.: Assessing phosphorus availability to paddy rice: soil testing and plant responses, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9623, https://doi.org/10.5194/egusphere-egu22-9623, 2022.

EGU22-10211 | Presentations | SSS9.4 | Highlight

Utilization of microbial strains and communities as a precept of recycled organic fertilization 

Jukka Kivelä and Elias Hakalehto

The by-products of food and forestry industry are usually considered as waste causing significant environmental problems. However, these by-products can be processed by using microbes to produce valuable chemicals as well as recycled fertilizers.

Microbial processes funded by the Finnish Ministry of Agriculture and Forestry have provided prime organic fertilizers from industrial side streams. In earlier greenhouse trial cellulosic deposits of the forest industries were upgraded with lactic acid and nitrogen-fixing bacteria providing 50% increased plant growth compared with the standard method. Another trial, the chicken manure treatment, consisted of microbiologically processed mix of manure, wood chips, and egg industry and slaughterhouse wastes. For example, this process yielded valeric acid and other valuable short-chain fatty acids (SCFA's). Simultaneously, both the methane yield and fertilizer nutritional value for the plants of the recycled residual fractions were remarkably upgraded by the microbiological treatments.

In Kasimir -project we are processing microbiologically by-products of industrial sauce production (Puljonki Oy, Nestle Professional). We get three different products out of this process: bone, fat, and protein fractions. Fat and protein fractions are processed further in biogas plant and bone fraction is processed as recycled fertilizer. In the case of microbiologically processed sauce industry wastes, the treatments with selected micro-organisms:

  • separated bone material from soft tissues
  • degraded and pulverized bones
  • eliminated and processed foam

Pulverized bones are used as component of recycled fertilizer, as they have quite a lot of plant nutrients. Total mineral contents of the organic bone meal were nitrogen (N) 3,9 %, phosphorus (P) 11 % and calcium (Ca) 22 %. Bone meal has been as a part of recycled fertilizer which has been used as fertilizer in field trials.

Besides the soil improvement, various food-grade chemicals, such as lactate and mannitol, were formed in some processes. All the microbial waste treatments produced high amounts of plant nutrients corresponding to standard mineral fertilizers but in a sustainable fashion.

Recycling food, paper and pulp industry by-products with microbiological biorefinery methods gives possibility to replace mineral oil-based materials. In addition, the microbiological nutrient recycling is more effective, and we can get more sustainable agriculture and food processing. With their accelerative effect in a bioprocess, the soil-derived microbial strains boost the agricultural circulation of substances and integrate the processing of industrial side streams into the soil ecosystem.

How to cite: Kivelä, J. and Hakalehto, E.: Utilization of microbial strains and communities as a precept of recycled organic fertilization, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10211, https://doi.org/10.5194/egusphere-egu22-10211, 2022.

EGU22-10505 | Presentations | SSS9.4

Plant available phosphorus by H3A, M3 and AL methods in Estonian soils 

Tonu Tonutare, Anne Sihver, Tiina Kõster, Tõnis Tõnutare, Kadri Krebstein, and Raimo Kõlli

Phosphorus (P) is after carbon and nitrogen the third most important nutrient element for plant growth. Most of the phosphorus needed for plant development is taken up by roots from soil. Typicaly the soil total phosphorus content is from 200 up to 3000 mg kg-1, with an average of 1200 mg kg-1. Phosphorus is present in composition of organic and inorganic (35-70%) compounds depending from the soil type. Most phosphorus containing compounds belong to groups of undissolvable and heavily dissolvable compounds. Only a small proportion of phosphorus participate in soil as easily soluble form. For development the plants can use only this minor part of soil phosphorus.

For farmers it is very important to have adequate information about the resources of plant available phosphorus in soil. Therefore, for the determination of soil plant available phosphorus content,  many different methods are developed. The oldest method, which is also used nowadays in Europe is the Dyer method, developed already in 1894. Most of the methods were created in the period from 1940-s up to 1970-s. From the chemical viewpoint these methods are extraction methods, which use aqueous diluted solutions of different salts and/or acids. These methods differ also by pH of extraction solution , duration of extraction and used soil : extraction solution ratio.

In the early years of method development the main aim was to find extragent with best extraction possibilities for phosphorus extraction from soil. Due to economical reason the main aim of researches of soil analytical laboratories is to find the best extragent for simultaneous extraction of all plant macroelements (K, Mg, Ca) and also microelements (Zn, Fe, Cu, Mn, B, S) from soil with one step. Typically, in older methods the extragents were prepared from easily accessible chemicals. These chemicals are not natural components in soil and rhizosphere. Therefore the extraction process of P from soil to solution does not take place in normal rhizosphere conditions. The natural soil rhizosphere environment is imitated for P and other plant nutrient extraction in a method called H3A. This method was developed by Haney R.L and coworkers in 2006 and modified in 2017. They proposed to mimic the plant root environment by utilizing organic acids of plant root exudates to extract nutrients at ambient soil pH.

In the experiment, determination of plant available P by H3A method was investigated and comparison was made with results obtained with Mehlich 3 and AL (Egne-Riehm-Domingo) method. In the provided experiment soil samples from Estonian agriculturally used fields by H3A; Mehlich 3  and AL methods were analyzed. For detection of P in extracts the MP-AES was used. The correlation between methods was investigated and the effect of different factors (pH, texture , organic carbon) to the correlation was also investigated.

How to cite: Tonutare, T., Sihver, A., Kõster, T., Tõnutare, T., Krebstein, K., and Kõlli, R.: Plant available phosphorus by H3A, M3 and AL methods in Estonian soils, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10505, https://doi.org/10.5194/egusphere-egu22-10505, 2022.

EGU22-10836 | Presentations | SSS9.4

Investigating factors impacting phosphorus dynamics and phosphate sorption capacity of manure amended soils of Ontario 

Enqi Xiang, Zachary DiLoreto, Shan Mugalingam, and Maria Dittrich

Phosphorus (P) in agricultural soil is an essential nutrient for plant growth. Manure application as an organic phosphorus fertilizer improves P supply to plants. Labile P from manure can be easily transported from agricultural fields through surface runoff. Excessive P fertilizer in amended soils change into more stable forms. These processes cause eutrophication of lakes. Understanding P dynamics and P compositions in manure and soils is important. This study analyzed how do the total P and bioavailable P fraction in manure-amended agricultural soils change over seasons, as well as what factors may contribute to these changes. Additionally, we tested P sorption capacity in two soils. This study was conducted with agricultural soils from Bay of Quinte area, Ontario, Canada.

 

Our results showed that the total phosphorus (TP) amount tend to decline with aging of applied manure. Soils amended by manure in 2019 summer have around 1.17 mg TP g-1 in average, while soils with manure application more than 6 years ago have approximately 0.97 mg TP g-1 in average. Compared to manure with 4.19 mg TP g-1, the TP in soils was much less indicating low P fertilization efficiency. Comparing the concentration of TP and bioavailable P among seasons, both parameters showed an increasing trend with decreasing temperature. Reduced uptake of P by plants, the limitation of mineralization, and less rain events in winter contribute to the high values of P in winter. P sorption were examined by soil incubation experiments on two soil samples with potassium dihydrogen phosphate (KH2PO4) as inorganic fertilizer. Results indicated a negative correlation between adsorbed P and added P. Even with additional geothite as an extra iron oxide-hydroxide source, the same relation was observed. It signifies that these soils have low P-sorption capacity. The abundant amount of OM and Ca from manure and soils negatively correlated to P adsorption onto iron oxide-hydroxides. The degree of phosphorus saturation (DPS) of these two soils (95.78 and 82.46%) exceeded the threshold of P saturation level in agricultural soils (80%) and explained the release of P from solid phase.

How to cite: Xiang, E., DiLoreto, Z., Mugalingam, S., and Dittrich, M.: Investigating factors impacting phosphorus dynamics and phosphate sorption capacity of manure amended soils of Ontario, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10836, https://doi.org/10.5194/egusphere-egu22-10836, 2022.

EGU22-11013 | Presentations | SSS9.4

Evolution and behaviour of hydromulches in organic woody crops under open field and container conditions. 

Marta M. Moreno, Jaime Villena, Sara González Mora, Pablo A. Morales, Concepción Atance, Carlos Ortega, Antonio Ruiz-Orejón, Juan A. Campos, and Carmen Moreno

The use of hydromulches in agriculture is being investigated nowdays by different research groups in their search for harmless materials which mainly exert a reasonable weed control and allow saving crop water consumption by reducing soil evaporation, both in open field as in container nurseries. To achieve these goals, these materials would avoid, or at least reduce, the use of chemical herbicides or plastic mulches derived of non-renewable sources, with the environmental, economy and energy effect it implies, aspects clearly appreciated in organic farming. However, one of the most important problems associated to the hydromulches is their degradation process and their useful life, because, due to their organic origin, may disappear early and therefore not fulfil their function.

For this reason, in both an intensive almond crop planted in the open field and in young olive trees grown in big containers, we evaluated the evolution and disintegration process of different mixtures based on by-products derived from the agricultural sector (barley straw, rice husk, rests from mushroom production, pruning wood chips), mixed with a binder and recycled paper paste and applied in liquid form on the ground with subsequent solidification (hydromulch). For that, we focused on the evolution of the continuous formation of cracks (shape and size), thickness, puncture resistance and ground cover by the material.

In summary, and a basis for future tests, the main conclusion derived from the results is the importance of keeping the hydromulch materials as dry as possible. We have been able to verify that, when the material gets wet (either by irrigation water, or by rain or fog), it softens, thus losing its puncture resistance and disappearing early. In addition, when the material becomes wet, the attack of the fauna (rabbits, wild boars, birds, etc.) intensifies, accelerating the process of deterioration of the hydromulch installed on the field. In relation to the materials tested, the hydromulches based on rests from mushroom production undergoes strong and early disintegration, integrating completely into the soil, especially in field conditions. The best results in terms of permanence and stability throughout the trials were obtained in rice husk and pruning wood chips, which would position these mixtures as interesting alternatives especially in container crops, important for nursery crops.

Keywords: hydromulches, deterioration, puncture resistance, organic farming.

Acknowledgements: Project RTA2015-00047-C05-03 - INIA (Spanish Ministry of Economy and Competitiveness).

How to cite: Moreno, M. M., Villena, J., González Mora, S., Morales, P. A., Atance, C., Ortega, C., Ruiz-Orejón, A., Campos, J. A., and Moreno, C.: Evolution and behaviour of hydromulches in organic woody crops under open field and container conditions., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11013, https://doi.org/10.5194/egusphere-egu22-11013, 2022.

This study identified the most sensitive soil quality indicators to assess soil quality in the framework of a long-term application of sewage sludge (SS) and conventional mineral fertilization for rainfed cereal production in a sub-humid Mediterranean calcareous soil. The SS treatments (at different doses and frequencies were compared with a mineral fertilization (MF) treatment and with a control treatment (no fertilization). Twenty-five years after the onset of the experiment, 37 pre-selected soil physical, chemical and biological parameters were measured, and a minimum data set was determined. The indicators significantly affected by treatment and depth were selected as sensitive.

A principal component analysis (PCA) was performed for each studied depth. At 0-15 cm, three factors (F1, F2 and F3) and at 15-30 cm, two factors (F4 and F5) were identified and explained 71.5% and 67.4% of the variation, respectively, in the soil parameters. The most sensitive indicators were related to nutrients (P and N), organic matter, and trace elements (F1 and F4), microporosity (F2), earthworms’ activity (F3), and exchangeable cations (F5). Only F3 correlated significantly (and negatively) with yield. This study demonstrated soil quality can be affected in opposite directions by SS application, and that a holistic approach is needed to better assess soil functioning under SS fertilization in this type of agrosystems.

How to cite: Simoes da Mota, A.: Soil Quality Assessment after 25 Years of Sewage Sludge vs. Mineral Fertilization in a Calcareous Soil, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11446, https://doi.org/10.5194/egusphere-egu22-11446, 2022.

EGU22-12295 | Presentations | SSS9.4

Impact of granulated mixed liming fertilizer to soil plant available P content 

Tõnis Tõnutare, Evelin Veinberg, Tõnu Tõnutare, Henn Raave, Alar Astover, and Avo Toomsoo

The phosphorus is an essential element for plant growth. Therefore the pools of plant available P in soil are very important. From the environmental viewpoint, the high level of easily soluble P compounds in soil is a source of risk for leaching and contamination of waterbodies. Also, problems with depleting stock of phosphatic rock ores is increasingly on the agenda.  Approximately 80% of mined phosphatic rocks are used for producing fertilizers and the peak of mining is estimated in 20-30 years. Therefore, it is very important to find other sources for phosphorus fertilizer production.
The intensive use of mineral fertilizers causes acidification in soils. To overcome the soil acidification, liming is used. Typically, limestone and chalk are used as liming agent. During several decades also many types of ashes are used for liming agriculturally used fields. In Estonia the oil shale fly ash is used as liming agent already from 1970-s. In 2020 5,1 million tons of oil shale ash as a byproduct was produced in Estonian power plants. The powdered fly ash is a troublesome material for transportation, storage and sowing. The granulation of fly ash helps to overcome these difficulties. 
To give the added value to the granulated liming agent, the plant nutrient can be mixed into source material. For modifying granulated ashes also byproducts and residues of some other processes can be used. In our research, the oil shale ash granules were modified by using different ratios of biochar and bone meal. For the comparison, wooden ash with same impurities was used. In pot experiment, different doses of fertilizer were used. The changes in plant available P and pH in soil during 12 month in soil were investigated

How to cite: Tõnutare, T., Veinberg, E., Tõnutare, T., Raave, H., Astover, A., and Toomsoo, A.: Impact of granulated mixed liming fertilizer to soil plant available P content, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12295, https://doi.org/10.5194/egusphere-egu22-12295, 2022.

EGU22-12848 | Presentations | SSS9.4

Record level productivity of lactate from a century-old cellulosic deposit on the lake bottom in Tampere, Finland 

Elias Hakalehto, Anneli Heitto, Frank Adusei-Mensah, Laura Holopainen, Reino Laatikainen, and Jukka Kivelä

Globally, the number of the so-called zero fibre sediments on the bottom of waterways is supposed to reach thousands of environmental deposits. These by-products of the industry are usually considered as waste causing significant ecological, health and urban development problems. However, these by-products can be processed to produce valuable chemicals, such as lactic acid, which is a common food additive. The residual fraction could be converted into methane biogas and biohydrogen as well as recycled fertilizers.

The construction plan for an urban area for about 25 000 dwellers has necessitated the need for the removal of about 1.5M tons of cellulosic fibre waste ("zero waste") from the lake bottom in Tampere, Finland, 2-3 km from the city centre. Microbial processes funded by the City of Tampere and the Finnish Ministry of Agriculture and Forestry were shown to produce about 9.2% of lactate during the earlier pilot studies conducted by Finnoflag Oy. The first pilot unit of 5-15 cubic meters was manufactured by Nordautomation Oy, Finland. The maximum product level was reached in about 100 hours. In the process, the UMC (Unidentified Mixed Culture) principle was applied, and the catalytic microbial strains thus derived from the up to 10-meter-thick sediment of fibrous wastes accumulated between 1913-2008 during the factory operating ashore. Until the 1960s, the side streams were placed into Lake Näsijärvi without limitations. There they formed a thick “mattress”, preserved in the cold, dark, acidic (pH 4.5) and anoxic conditions for decades. The removal of it is estimated to take 5-10 years. The bioprocessing facilities could handle the material (dry weight 10%) straight after the delivery.

At the beginning of December 2021, the City of Tampere invited Finnoflag Oy to provide additional evidence about the productivity of biorefinery technologies. We started a five-week intensive lab and field testing period. The final yield of lactate was elevated to a concentration of more than 10% in 70-80 hours starting from an enzymatically pretreated zero waste hydrolyzed overnight and preliminarily matured in lower temperatures. The starting lactate concentration of the pretreated biomass was then between 2-3.5%. Consequently, the Consolidated Bioprocessing (CBP) was performed with lactic acid bacteria and cellulolytic enzymes as the biocatalysts. The net product increase in the bioprocess was 4-5 fold. The downstream process for lactate has been preliminarily tested by the University of Tampere, and the Mälardalen University of Technology, Sweden.

The other products of the process included additional chemicals, biogas, and organic fertilizers. All biomass was converted into products which make this endeavour an example of sustainable and economically feasible ecosystem engineering industries.

How to cite: Hakalehto, E., Heitto, A., Adusei-Mensah, F., Holopainen, L., Laatikainen, R., and Kivelä, J.: Record level productivity of lactate from a century-old cellulosic deposit on the lake bottom in Tampere, Finland, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12848, https://doi.org/10.5194/egusphere-egu22-12848, 2022.

Salinity is one of the most important abiotic stresses that decrease yields of most crops around the world, especially in arid and semi-arid regions. The addition of organic amendments is one of the mitigation methods that has been tested in our experiment. In this context, we have investigated the effect of organic amendment (compost) on the green bean resilience to the water salinity in sandy and clay soils. Two levels of salinity of irrigation water (1.5 and 4 dS / m) with and without compost amendments. Most parameters measured (yield, chlorophyll, proline, content of the mineral elements) in this study were significantly influenced by the salinity levels and organic amendments. The use of compost decreased the amount of sodium in the soil and plant, even for a high salinity level. The decrease in Na+ resulted in an increase in the level of other mineral elements such as calcium, nitrogen, magnesium, and potassium. In the case of the clay soil, the addition of compost with the use of low saline irrigation water gave a higher yield (17.6%) compared to the control (without compost amendment). Increasing the salinity level of irrigation water to 4 dS / m resulted in a 43.2% reduction of the yield in the amended soil. For sandy soils, the yield was higher (10.6%) in amended soil with compost compared to the control at 1.5 dS / m level. The increase of salinity level to 4 dS / m resulted in a yield decrease of 46.7% with organic amendment and 51.8% in the absence of organic amendment. The results of this work indicate that the addition of organic matter reduces the negative effects of salinity by improving soil physic-chemical conditions, reducing salt accumulation, increasing photosynthetic pigments and the content of proline in the plant, promotes the absorption of mineral elements and decreases the effect of salt stress on vegetative growth.

Key words: Salinity, stress, organic amendment, irrigation water, green beans, yield, proline, mineral elements.

How to cite: Azim, K., Maatougui, M., and Bouabid, R.: Compost amendments to alleviate saline water stress on organic green bean (Phaseolus Vulgaris L.) cultivated in sandy and clay soils under arid climate, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12877, https://doi.org/10.5194/egusphere-egu22-12877, 2022.

Soil N mineralization is a crucial parameter for efficient N management in intensive agriculture and is determined by a combination of static or inherent (mineralogy, texture) and dynamic soil properties. We measured N mineralization potential from native soil organic matter (SOM) of 21 agricultural fields under intensive management in 2018-2019 and compared these to N mineralization potential measured on the exact locations in these fields in 2009. We hypothesized that changes in N mineralization over this decadal period could be explained by differences in land management and would be reflected in soil biochemical and physical properties. The results showed that potential N mineralization assessed in 2018-2019 was higher than measured in 2009. However, the changes of N mineralization potential was not significantly correlated with pH-KCl, N total, TOC, C: N ratio and microbial activities (Cmic). Likewise, it was not significantly associated with texture (% sand, % silt and % clay). Therefore, in this study, the potential of N mineralization could be more affected by changes in land management practices (i.e. fertilization, crop rotations and soil tillage) than soil properties following ten years.

How to cite: Banaty, O. A.: Evaluation of potential nitrogen mineralization and relations to static and dynamic soil properties from arable agricultural soils following ten years in Flanders, Belgium, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12920, https://doi.org/10.5194/egusphere-egu22-12920, 2022.

EGU22-2028 | Presentations | SSS9.5

Modelling pathways for development of a new forest industry in Mozambique 

Chidiebere Ofoegbu

Forest-based initiatives are receiving greater attention in global and national strategies on change and bio-economy. It is therefore vital to identify multi-win activities and strategies for the tropical forest industries within the context of global and national climate and bio-economy policy. The “Good Wood” value chain could be one of these solutions—restoring natural tropical forests, mitigating climate change, and improving livelihoods. The “Good Wood” value chain adopts an integrated timber processing business concept to tropical timber utilization. This concept contrasts conventional forestry practices—, which rely on logging large trees of a few species from relatively pristine natural forests—in that it is adapted to degraded natural forests with small and damaged trees of many species. It also includes a number of value-adding steps—such as drying and further finishing—to enable access to regional and export markets. Linking manufacturers directly with customers allows for product development and customized timber products, which maximizes both wood recovery and profit. Drying onsite dramatically improves quality and access to high-value markets reduces waste (e.g., warped, rotten, and low-quality timber), and allows for greater use in long-lived wood products (e.g., construction materials).

The overarching purpose of the study is to assess the extent to which the “Good Wood” timber processing business concept contributes to climate change mitigation, forest restoration, and sustainable development. We discuss emerging results from our empirical study in Mozambique. The main goal of the study is to contribute to the development of new forest management systems in accordance with the Good Wood timber processing business concept—integrated with a sawmill and market—to restore degraded forests and provide timber.

The intent is that findings will be used to support and promote the Good Wood concept to governments as a strategy for meeting sustainable development and Nationally Determined Contributions to the UN climate agreement and Forest Landscape Restoration commitments, and business entrepreneurs.

How to cite: Ofoegbu, C.: Modelling pathways for development of a new forest industry in Mozambique, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2028, https://doi.org/10.5194/egusphere-egu22-2028, 2022.

EGU22-3978 | Presentations | SSS9.5 | Highlight

Mexican agricultural frontier communities differ in forest dynamics with consequences for conservation and restoration 

Madelon Lohbeck, Ben Devries, Frans Bongers, Miguel Martinez-Ramos, Armando Navarrete-Segueda, Sergio Nicasio-Arzeta, Christina Siebe, Aline Pingarroni Pingarroni, Germán Wies, and Mathieu Decuyper

Forest regrowth is key to achieve restoration commitments, but a general lack of understanding when it occurs and how long secondary forests persist, hampers effective upscaling. We quantified spatiotemporal forest dynamics in a recently colonized agricultural frontier in southern Mexico, and tested how temporal variation in climate, and cross-community variation in land ownership, land quality and accessibility affect forest disturbance, regrowth and secondary forest persistence.

We consistently found more forest loss than regrowth, resulting in a net decrease of 45% forest cover (1991-2016) in the study region. Secondary forest cover remained relatively constant while secondary forest persistence increased, suggesting that farmers are moving away from shifting cultivation. Temporal variation in disturbance was explained by annual variation in climatic variables and key policy and market interventions.

We found large differences in forest characteristics across communities, and these were explained by differences in land ownership and soil quality. Forests were better conserved on communal land, while secondary forest was more persistent when farms were larger and soil quality is better. At the pixel-level both old forest and secondary forests were better represented on low-quality lands indicating agricultural concentration on productive land. Both old forest and secondary forest were less common close to the main road, where secondary forests were also less persistent.

We demonstrate the suitability of timeseries analyses to quantify forest disturbance and regrowth and we analyse drivers across time and space. Communities differ in forest dynamics, indicating different possibilities, needs and interests. We warrant that stimulating private land ownership may cause remaining forest patches to be lost and that conservation initiatives should benefit the whole community. Forest regrowth competes with agricultural production and ensuring farmers have access to restoration benefits is key to restoration success.

How to cite: Lohbeck, M., Devries, B., Bongers, F., Martinez-Ramos, M., Navarrete-Segueda, A., Nicasio-Arzeta, S., Siebe, C., Pingarroni, A. P., Wies, G., and Decuyper, M.: Mexican agricultural frontier communities differ in forest dynamics with consequences for conservation and restoration, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3978, https://doi.org/10.5194/egusphere-egu22-3978, 2022.

EGU22-5073 | Presentations | SSS9.5

A remote sensing-based inventory of West-Africa tropical forest patches 

Vladimir Wingate, Felicia Akinyemi, Chima Iheaturu, and Chinwe Ifejika Speranza

The rate of tropical forest fragmentation is increasing globally. This process is essentially driven by commodity demands on the international market, and consequent conversion of forested lands to agricultural land-uses. The extension of urban settlements and other land uses such as roads, infrastructure, small-scale clearing, selective logging, fire, and natural disturbance are major drivers of tropical forest loss and fragmentation.  Even though tropical forests are an essential component of the earth system, and fundamental for biodiversity conservation, ecosystem functioning and social well-being, anthropogenic pressures continue unabated and at an increasing rate. Indeed, recent research has shown that forest fragmentation and loss are particularly high in arable landscapes where fragments are smaller, reflecting their easier access.  As such, there is an urgent need to map and monitor the dynamics of remaining smaller tropical forest patches/fragments and identify their multiple benefits and values. Recognizing their existence is expected to help ensure their continued provision of social-ecological functions, while facilitating their conservation.  The main objective of this study is therefore to inventory and characterise the current extent of forest patches for a West-Africa region (Nigeria), by combining multi-source remote sensing products, time-series analyses, and ancillary datasets.  Here, we collated and analysed descriptive and dynamics metrics derived from various sources, and provide estimates of fragment size, age, biophysical conditions, and relation to social-ecological variables, which together provide insights into their dynamics over four decades. Specifically, forest patches with a tree cover ≥ 30%, a tree height of ≥ 5 m, an area ≥ 1 hectare and ≤ 10 km2 and which are outside of protected areas, are mapped. Appended to each patch are descriptive (country, administrative region, coordinates, area, biome, distance to water and roads, tree height and cover, primary/secondary forest, estimated age) and dynamics attributes (land cover in 1975, forest loss/gain, as well as trend and disturbance metrics for last two decades).  We find tree cover loss is widespread, the more numerous smaller fragments cumulatively lose a greater forested area, while fragment number increased slightly (2000-2020). Widespread greening occurs in larger fragments, the trend is pronounced for secondary forests (which predominate). Patch size is related to human disturbance metrics, e.g., distance to roads, larger patches being more distant. Thus, this inventory forms the basis for understanding forest patch change and condition, as well as prioritizing them for in-depth, social-ecological field investigation and conservation. 

How to cite: Wingate, V., Akinyemi, F., Iheaturu, C., and Ifejika Speranza, C.: A remote sensing-based inventory of West-Africa tropical forest patches, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5073, https://doi.org/10.5194/egusphere-egu22-5073, 2022.

EGU22-5089 | Presentations | SSS9.5

Ecosystem multifunctionality of forest patches in the tropics: A systematic literature review 

Paule Pamela Tabi Eckebil, Vladimir Ruslan Wingate, Felicia Olufunmalayo Akinyemi, and Chinwe Ifejika Speranza

The ability of forests to provide multiple ecosystem functions and services including Nature’s Contributions to People is a key concern for achieving their sustainability. The multifunctionality of an ecosystem is its ability to maintain multiple functions simultaneously. The concept of ecosystem multifunctionality has been defined broadly in various studies to measure the abiotic and biotic functions of ecosystems including their contributions to ecosystems services. However, applications of multifunctionality to fragmented forests remain limited, particularly in the case of tropical forest patches. This review synthesizes the current knowledge on ecosystem multifunctionality of forest patches in the tropics. Moreover, it explores the key factors that affect the multifunctionality of forest patches and the trade-offs to consider. The presented analysis and results will highlight the multiple functions of tropical forest patches, and will explore particular contexts such as forest patches in agricultural landscapes in West Africa and contrast with other tropical regions. The findings can inform stakeholders on the valuation of ecosystems multifunctionality related to tropical forest patches and their contributions to human wellbeing.

KEYWORDS: Ecosystem multifunctionality, Ecosystems services, Nature’s Contributions to People, Multifunctional landscape, Forests patches, Tropics, West Africa.

How to cite: Tabi Eckebil, P. P., Wingate, V. R., Akinyemi, F. O., and Ifejika Speranza, C.: Ecosystem multifunctionality of forest patches in the tropics: A systematic literature review, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5089, https://doi.org/10.5194/egusphere-egu22-5089, 2022.

EGU22-6523 | Presentations | SSS9.5

Creating land use-land cover baselines for monitoring Land Degradation Neutrality in Switzerland 

Felicia O. Akinyemi, Valentin Bär, and Chinwe Ifejika Speranza

The non-availability of annual land cover maps for Switzerland at the national and local levels hampers setting a Land Degradation Neutrality (LDN) baseline (2000 – 2015) and monitoring until the year 2030. Land cover change is an LDN sub-indicator required to assess the proportion of degraded land to total land area (Sustainable Development Goal 15 indicator — SDG15.3.1). The Swiss version of the European CORINE Land Cover (CLC), which is available for the years 1990, 2000, 2006, 2012 and 2018, is often used to analyse land cover and land cover change. However, the approximately 6-year production cycle of the CLC is only partially in line with the internationally agreed LDN baseline and monitoring periods.

Yet, annual land cover maps are required not only for baseline setting but crucial for monitoring the SDG15.3.1 on an annual basis until 2030. Further, most studies evaluating the effects of land cover and change often do not consider the impact of differing annual land cover configurations and sizes on their analysis results. Doing so is important, especially for the LDN, because of the pervasive influence land cover and its changes have on other sub-indicators such as Land Productivity Dynamics (LPD) and the change in Soil Organic Carbon stock, whose computation is currently based on land cover change.

Aimed at contributing to the scientific basis for operationalizing LDN for Switzerland, this study developed and applied a remote sensing-based method for generating land cover data. It took advantage of the availability of big spatial data (e.g., Sentinel-1 and Sentinel-2 satellite images, digital elevation model — DEM, CLC) to map land cover for the years 2015 and 2020, with reference datasets created with high resolution images. For 2015 and 2020, 100 training and validation points were created for each of the seven land cover classes (Forest, Grassland, Cropland, Wetland, Artificial Surfaces, and Otherland). Land cover change was calculated for the baseline period of 2000 – 2015 and 2016 – 2020 for the monitoring period. DEM was used in land cover classification, as topography was one of the main limiting factors for identifying land use types, particularly the need to reduce misclassifications of shady mountainous areas.

The methodology and results provide a basis for periodic assessments of the land cover dimension of the LDN and for automating the production of annual land cover maps for Switzerland. Evaluating the changes in land cover both for the baseline and monitoring periods also enabled us to separately analyze how changes in land cover differed between both periods. The land cover change for the monitoring period until 2020 was compared to the baseline, based on which we identify and discuss some challenges relating to land degradation in Switzerland.

How to cite: Akinyemi, F. O., Bär, V., and Ifejika Speranza, C.: Creating land use-land cover baselines for monitoring Land Degradation Neutrality in Switzerland, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6523, https://doi.org/10.5194/egusphere-egu22-6523, 2022.

EGU22-7260 | Presentations | SSS9.5

An integrated method for validating spatially non-continuous remotely sensed forest patch dataset for West Africa 

Chima Iheaturu, Vladimir Wingate, Felicia Akinyemi, and Chinwe Ifejika Speranza

Remote sensing products of medium to high spatial resolution have emerged as promising datasets for environmental modelling and policymaking across scales. Despite the recent increase in their availability and accessibility,  questions often remain on how to best assess the accuracy of these products, since it is pivotal that these be rigorously validated before they are used for scientific investigation and decision making. There are several methods for validating spatially continuous remote sensing-derived products, including comparisons to field surveys, cross-comparisons and verification of physical consistency using reference data. However, there exist few or no validation strategies for validating spatially non-continuous products such as forest patches. In effect, forest patches, as with many other thematic maps, contain information that is discrete, not spatially continuous, and not normally distributed; thus, a validation strategy that makes these assumptions may be inappropriate for such a product. 

We present an integrative approach for assessing the accuracy of a remote sensing-derived product identifying forest patches found within agricultural landscapes of West Africa. The method is based on the well-established error matrix approach and uses a spatial sampling strategy that determines the sample size based on spatial autocorrelation, select sample points based on spatial uniformity and heterogeneity, and assesses the accuracy by comparing sample points and reference data. Compared to other random sampling approaches, ours ensures that a representative sample is used for the accuracy assessment. This representativeness was achieved by utilizing a stratification method that enabled different categories of forest patches across different ecoregions in the map to be included in the sample size. 

While further tests are required, the preliminary results show that our method has the potential to effectively assess the accuracy of forest patches in West Africa and can therefore be adapted for validating other spatially non-continuous remote sensing products.

Keywords: Remote sensing products, Validation, Spatially non-continuous, Error matrix, Spatial sampling, Forest patch, West Africa

How to cite: Iheaturu, C., Wingate, V., Akinyemi, F., and Ifejika Speranza, C.: An integrated method for validating spatially non-continuous remotely sensed forest patch dataset for West Africa, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7260, https://doi.org/10.5194/egusphere-egu22-7260, 2022.

EGU22-7370 | Presentations | SSS9.5

Tree species diversity and functional traits in forest patches of Benin, West Africa 

Georges A. Agonvonon, Akomian F. Azihou, Chabi A. M. S. Djagoun, Achille E. Assogbadjo, and Chinwe Ifejika Speranza

The conservation of tree communities in forest ecosystems across the world is challenged by various anthropogenic pressures such as deforestation and fragmentation. In many areas in West Africa, fragmentation has reduced the original continuous forest ecosystems to small and isolated forest patches, mostly managed by local communities. While the importance of such small patches in biodiversity conservation is recognized in literature, evidence from tropical forest ecosystems and plant-based studies are still limited. In our study, we (i) assessed the contribution of small, unprotected forest patches to tree species conservation; (ii) determined the variation of seed dispersal syndromes in tree stands between a continuous forest and small forest patches; and (iii) identified the drivers of tree species colonization among forest patches. We sampled 69 plots in the Lama forest reserve (continuous forest) and the surrounding small isolated forest patches within 20-km radius. Trees and natural regenerations were recorded in two vegetation types including the degraded dense forest and old fallow. For each species, the IUCN conservation status and functional traits including dispersal syndrome, seed weight and maximum height were recorded. We used Generalized Linear Models to identify the determinants of immigrant regeneration densities in isolated forest patches. In total, 103 woody species were recorded and the species richness was higher in the forest patches than in the continuous forest for all vegetation types. In the dense vegetation, a similar trend was found and the number of threatened species was higher in the forest patches. Tree assemblages differed between the continuous forest and the forest patches. Tree density was higher in the continuous forest than in small forest patches. Defaunation somewhat affected the regeneration of disturbed forest patches as germination and seedling were dominated by abiotic-dispersed species and local species. Taller or heavier seed species were more likely to colonize forest patches and the density of tree species in a forest patch increased with abundance of immigrant regeneration in the nearest neighbor. We recommend the implementation of sustainable management in form of participative restoration of low-regenerated species in forest remnants  for enhanced biodiversity conservation.

Keywords: Species richness, dispersal syndrome, functional traits, fragmentation, forest patches, continuous forest

How to cite: Agonvonon, G. A., Azihou, A. F., Djagoun, C. A. M. S., Assogbadjo, A. E., and Ifejika Speranza, C.: Tree species diversity and functional traits in forest patches of Benin, West Africa, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7370, https://doi.org/10.5194/egusphere-egu22-7370, 2022.

EGU22-7651 | Presentations | SSS9.5

Impact of forest management and soil compaction on soil GHG fluxes of a temperate forest 

Armin Hofbauer, Kerstin Michel, and Barbara Kitzler

Temperate forests are a considerable sink for methane (CH4), carbon dioxide (CO2) and the emissions of nitrous oxide (N2O) and nitric oxide (NO) are low. Apart from the tree species composition, forest management itself can have a significant long-term influence and act as a driver on the GHG budget, particularly through soil compaction.

To assess the impact of tree species composition, thinning and soil compaction on the GHG budget, we measured GHG soil fluxes in a one-year campaign in a forest located in the catchment of the “Münichbach”, south-west to Vienna, Austria (N 48°07’16”, E 16°02’52’’, 510 m MASL). The soil is classified as Dystric cambisol over sandstone which is known to be sensitive for compaction and has a low recovery capacity. The mean air temperature in the campaign year (2019) was 9.7 °C and the annual precipitation was 820 mm. The experimental setup consisted of four treatments reflecting the heterogeneity of the catchment: a mixed stand (F) which was not thinned since 1913 consisting of beech, spruce, and larch; a pure beech stand last thinned in 2002 (L); a pure beech stand last thinned in 2013 (M), and the skid trails (R) that pass through the area of treatment M. For each treatment, five randomly distributed plots were selected, each equipped with three static chambers. The gas sampling was conducted manually at intervals of 3 weeks. Methane and N2O in the gas samples were analysed by gas chromatography, those of NO by a soil core incubation approach using a chemiluminescence detector. Fluxes of CO2 were measured in-situ with an EGM-4 environmental gas monitor (PP Systems).

The regularly wet skid trails (R) showed a significant reduction in CH4 uptake, and increased CO2 and N2O emissions. N deposition was considerably higher at F than at the beech stands (L and M), which affected GHG fluxes, resulting in significantly highest NO emissions of 0.65 ±0.07 kg N ha-1 y-1, and N2O emissions of 0.42 ±0.04 kg N ha-1 y-1, comparable to those at R, while CH4 fluxes did not differ from those of beech stands. The results of the study show lower emissions of beech sites in terms of NO and N2O. However, in terms of CH4 uptake beech stands revealed no significant difference compared to mixed stand (F). The treatments F and M showed comparable CH4 fluxes, while L tended toward a lower uptake. The greatest long-term effect of forest management was apparent at the skid trails (R), with significantly highest CO2 and N2O emissions, and lowest CH4 uptake. Compared to the other treatments, annual GWP100 was significantly highest at R with 10.41 ±0.37 t ha-1, which was 30, 28, and 58% higher than the means of F, L, and M.

How to cite: Hofbauer, A., Michel, K., and Kitzler, B.: Impact of forest management and soil compaction on soil GHG fluxes of a temperate forest, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7651, https://doi.org/10.5194/egusphere-egu22-7651, 2022.

EGU22-8190 | Presentations | SSS9.5 | Highlight

Russia’s New Forests. Controversies around the Future of Abandoned Farmland 

Alexander Vorbrugg

Trees have regrown on dozens of million hectares of abandoned farmland in Russia over the past decades. So far, their status has remained largely informal, but recent propositions to formalize forests and forestry on abandoned farmland spurred legislatorial processes and political controversies. Besides a large-scale but unplanned and unstable forest transition over the past decades, there are now propositions to actively develop “new forests” on abandoned farmland.

After introducing characteristics and implications of the ‘informal’ forest transition to date, I discuss how “new forests” have become a new object of political controversy but also future possibility. I show how certain “new forest” models go along with a reframing of abandoned farmland, long associated with loss and degradation, into a future-oriented vision with ecological, social, and economic benefits. The reduction of pressure on primary forests is one such potential benefit, opening up possibilities for new forestry models another one. I also discuss some of the (potentially) problematic implications of these models, such as the bracketing of local knowledge and needs, or companies’ rising interest in reforestation as a means to ‘greenwash’ emission-intensive businesses by carbon offsetting. In methodical terms, I discuss how studying new forests as a socio-natural entitiy in the making offers opportunities for original interdisciplinary collaboration.

How to cite: Vorbrugg, A.: Russia’s New Forests. Controversies around the Future of Abandoned Farmland, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8190, https://doi.org/10.5194/egusphere-egu22-8190, 2022.

EGU22-8950 | Presentations | SSS9.5 | Highlight

Europe’s Forest Sink Obsession 

David Ellison, Hans Petersson, Jonas Fridman, Kari T. Korhonen, Helena Hentonnen, Alex Appiah Mensah, and Jörgen Wallerman

Reversing the European trend toward a declining land carbon sink has become the new mantra. The decision to increase net carbon uptake in the forest, however, is made without adequately considering the consequences for the circular bioeconomy and climate change mitigation more generally. LULUCF (Land Use, Land Use Change and Forestry) accounting fails to balance net carbon uptake with the positive substitution effects from forest use recorded in the energy sector. The singular focus on the net forest carbon sink distracts attention from the fact that, over the past century, many EU Member states have managed to harvest ever larger amounts of forest, and, simultaneously, to continuously increase both forest carbon stocks, as well as the size of the annual forest increment. In the language of the European Commission’s proposed LULUCF policy framework, however, high harvesting rates and high forest use intensity are seen as anathema to climate change mitigation because they are thought to threaten the reliability of the EU UNFCCC emission reduction commitment framework, as well as the longevity of Europe’s forests, more generally. This, at least, is the unabashed message of one recent Joint Research Centre (JRC) assessment of EU forestry, which argues that rapid increases in harvest rates challenge the environmental integrity of EU emission-reduction commitments. According to the authors, ‘the loss of carbon in standing forests will require additional efforts in other sectors to reach the EU climate neutrality target by 2050’.1 We explore the parameters of this assessment, highlighting the fact that preferences for more protected forests obscure our understanding of the climate benefits forestry and forest resource use can provide. We argue the continuous net annual contributions to the global carbon budget provided by the circular bioeconomy (avoided emissions, net removals and renewed forest growth) should be more carefully considered. Increasing net forest carbon uptake by reducing forest use intensity (i.e., annual harvest) is not the only, nor is it even the most beneficial, pathway to increasing LULUCF-based climate change mitigation potential. Policymakers should pay greater attention both to the mix of micro-level mechanisms and incentives created by the EU LULUCF policy framework and the mix of public and private sector interests and investment goals intended to undergird future forest growth and LULUCF-based mitigation potential. As we demonstrate, promoting reforestation efforts beyond Managed Forest Lands (MFL) has contributed only minimally to the global carbon budget and has failed to garner the kind of investment momentum required to make it a meaningful mitigation solution. MFL, on the other hand, have witnessed far greater contributions to the global carbon budget but are generally not fully mobilized in the EU climate policy framework. Striking an appropriate balance between the many climate change mitigation, human livelihood and consumption benefits forests and forest-based resources can provide, on the one hand, and protected, biodiverse-rich forest environments, on the other, requires a more balanced approach.

How to cite: Ellison, D., Petersson, H., Fridman, J., Korhonen, K. T., Hentonnen, H., Appiah Mensah, A., and Wallerman, J.: Europe’s Forest Sink Obsession, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8950, https://doi.org/10.5194/egusphere-egu22-8950, 2022.


Poor people in rural areas of developing countries are often highly dependent on forest biodiversity to meet their day-to-day livelihood needs because protein from forest wildlife is crucial to rural food security and livelihoods across the tropics. The harvest of animals and reliance of poor, rural communities on forest resources has resulted in destructive gathering practices that directly degrade forest ecosystems; a practice which is largely unsustainable, hence there is a need for alternative livelihoods program in such communities. Several efforts in the past have applied alternative livelihoods programs with little or no success. The study aims to investigate the contributions of the Wildlife Conservation Society (WCS); a nongovernmental organization with the mission to save wildlife and wild places across the globe, in engendering alternative livelihoods program in selected communities in the forested zone in Cross River State, Nigeria. The study design is observational and socio-economic in nature. The sample frame for the study entails detailed appraisal of the success of the WCS alternative livelihoods program in Afi, Mbe and Okwango. Non-probabilistic Snowball sampling is being used; this method will help to identify trained and untrained hunters. The sample size for the study comprises one hundred and seventy four (174) respondents derived from four (4) groups of actors of the target population: Hunters trained by WCS (57), Project Managers (3), Rangers and Eco guards (15) and Hunters not trained by WCS (102). We compare the differences and associations between respondent categories in terms of livelihood strategies and outcomes using T-test statistics and qualitative methods.

How to cite: Ologeh, I. and Farinloye, K.: Alternative livelihood programs to promote sustainable resources use in Afi, Mbe and Okwango Forests in Cross River State, Nigeria, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9030, https://doi.org/10.5194/egusphere-egu22-9030, 2022.

EGU22-9924 | Presentations | SSS9.5

Cartographic Retrospective of spatial and temporal changes of gardens and parks in Tbilisi 

Nino Kharebava, Dali Nikolaishvili, and Mariam Tsitsagi

Growth and development of the city lead to a drastic change in the natural environment, which causes a lot of environmental problems. Among the problems is the reduction and destruction of green cover. In Georgian cities, green cover can be found in two primary forms: natural habitats (which is currently very rare) and gardens (artificially cultivated, often for decorative purposes) and parks (synthesis of vegetation and entertainment attractions, which is a relatively latter form). The capital, Tbilisi, is an ancient city, and therefore it has gone through several stages of urban development, which logically led to the reduction of green space. The research aims to systematically map space and time changes in gardens and parks in Tbilisi. A geodatabase was created based on historical narrative sources, ancient maps, city plans, and satellite imagery in Arcmap 10.8, based on which a retrospective spatial analysis of gardens and parks in Tbilisi was performed. First, gardens and parks were identified; their location, area, vegetation types, changes, and primary drivers were determined and analyzed. The maps of Tbilisi from the 18th, 19th, and 20th centuries were used as a cartographic basis. They are compiled into different scales and projections. All the maps were georeferenced, and the gardens given in the historical sources are identified. In addition, Soviet topographic maps and satellite imagery (CORONA and aerial photography) were used to reconstruct the changes that took place in the 20th century. Based on the obtained results, it turns out that gardening was quite developed in Tbilisi in the Middle Ages. Mostly, oriental style gardens predominated. There were two main directions: publicly available gardens in the city area and gardens arranged around the noble palaces. In this case, in addition to local varieties (mostly broadleaf), varieties imported from different countries were also used. The city's green cover has been declining since the 19th century amid rapid urbanization. The replacement of gardens in the city with built-up areas begins. In the first half of the 20th century, coniferous plants (mostly pine) were planted intensively, and coniferous vegetation became the dominant type in gardens or parks (later). Since the second half of the 20th century, a new type of recreational places appeared- the park. It is a kind of synthesis, where attractions, open-air cafes, and children's spaces are arranged with a green cover. Arranging such parks was part of Tbilisi's master plans. Amid the complex social, political, and economic situation in the country since the 1990s, small parks have begun to disappear amid uncontrolled urban sprawl, compounded by the massive decline of coniferous vegetation in the face of the city's climate change (urban heat island) or/and parasites. Recently, the restoration of gardens and parks has become particularly active. It is part of the city’s new General plan.

How to cite: Kharebava, N., Nikolaishvili, D., and Tsitsagi, M.: Cartographic Retrospective of spatial and temporal changes of gardens and parks in Tbilisi, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9924, https://doi.org/10.5194/egusphere-egu22-9924, 2022.

Reindeer husbandry in Sweden is a traditional livelihood activity conducted exclusively by the Sámi, an Indigenous people whose land – a region called Sápmi – is broadly understood to extend across northern Fennoscandia (Norway, Sweden, and Finland) and the Kola Peninsula in contemporary Russia. Reindeer husbandry in contemporary Sweden occurs in both the western mountainous regions and the eastern forests, but the concerns and challenges of reindeer herders in the forested regions are largely neglected in academic, political, economic, and other discourses. According to the traditional knowledge of Sámi reindeer herders, industrial forest landscape exploitation, including large-scale clear-cutting for timber and vast wind power developments, will have a profound impact on both reindeer and the herders themselves, threatening the viability of reindeer husbandry as a livelihood activity and a locus of Sámi cultural identity.

Research into the complex and compounding impacts of forest use projects and policies was undertaken under the auspices of the Dálkke: Indigenous Climate Change project, led by Dr. May-Britt Öhman, at Uppsala University’s Centre for Multidisciplinary Studies on Racism. It included four weeks of close collaboration between the first author and Henrik Andersson, a Sámi reindeer herder, activist, and board member from the Gällivare Skogssameby (Forest Sámi community). Fieldwork methodologies included participatory observation and semi-structured interviews and complexity theory was used as the basis to develop a case study, which was then contextualized within Sweden’s colonial history and contemporary political and economic paradigm. This research was based on the understanding that the structural limitations of the Swedish settler-colonial state hinder the ability of Sámi people to engage in the traditional livelihood of reindeer husbandry and benefit from traditional uses of non-timber forest products. The state promotes corporate intrusion onto reindeer grazing and calving land and seizure of natural forest resources and this is encouraged by a combination of anti-Sámi racism and a sense of entitlement to these resources.

The case study details the various compounding and interrelated system-level challenges to the survival of Henrik Andersson's reindeer and Indigenous way of life. These challenges and encroachments include (1) the development of vast wind power farms on calving and grazing land, (2) the devaluation of traditional knowledge in response to reindeer overpredation (particularly by bears), (3) industrial timber harvesting and unsuitable woodland plantation methods, (4) habitat fragmentation caused by transportation infrastructure, and (5) local hostility toward reindeer and the Sámi people. The impacts on traditional Sámi livelihood and cultural activities have been described individually in academic literature, but rarely as a complex system. Taken together, these encroachments may have impacts that are greater than the sum of their parts and must be addressed as interrelated expressions of a complex system rather than as a series of disparate and unrelated pressures.

How to cite: Mumford, E., Öhman, M.-B., and Andersson, H.: Contemporary Colonialism and Marginalized Indigenous Practice in Sweden’s Northern Forests: A Case Study on Reindeer Husbandry in Gällivare Forest Sámi Community, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10413, https://doi.org/10.5194/egusphere-egu22-10413, 2022.

EGU22-12585 | Presentations | SSS9.5

Analysis of the impact of urbanization on the ecological state of soils and woody vegetation in the forest parks of New Moscow 

Sofiya Demina, Ksenia Makhiniya, and Viacheslav Vasenev

Green spaces and recreational soils play a crucial role in ensuring the sustainable development and functioning of cities. They help to reduce the content of volatile organic substances and fine dust in the air, create a microclimate, optimize water balance and preserve biodiversity, and provide cultural, aesthetic, and educational functions and services. The interaction of soil and plant components has a more significant impact on the sustainable development of green infrastructure in urbanized areas. This is especially true for new urbanized territories, where the history of land use has an additional impact on the properties of soil and green spaces.

The study is devoted to studying the recreational areas of New Moscow, formed on the site of a natural forest. The conducted studies make it possible to assess in a complex the interaction of plant and soil components and the impact of land use on the functions and properties of soils and green spaces in 4 parks located in New Moscow. Until July 1, 2012, which included all research objects in Moscow's forest park protective belt, and after 2012 it transferred them to Moscow. All of them have been sampled at 39 points to a depth of 50 cm and 10 points to a depth of 1 m. It carried out a visual assessment for 4117 trees located at each point within a radius of 20 m from the soil sampling. An analysis of species diversity and an analysis of the state of woody vegetation did not reveal significant differences. Thus, the best condition of the trees was found in the Rasskazovka park - 1.61 (on a 6-point scale by V. Alekseev), and the worst in the Ulyanovsk forest park - 1.82. The lowest average density of surface horizons (0–10 cm) was noted for the park of the 3rd microdistrict of the Moscow and Ulyanovsk Forest Park – 0.8 ± 0.1 g/cm3 and 0.8 ± 0.3 g/cm3. The pH value in the Ulyanovsk forest park is 5.1 ± 0.4. Also, there is an excess of approximately permissible concentrations (APC) in the parks for nickel, zinc, arsenic, and cadmium. For example, in the soil in the Troitskaya Grove park, excesses for all four metals are shown for some points. The data obtained indicate that forest parks are subject to anthropogenic impact, which negatively affects soil quality. The analysis of microbiological activity and carbon and the calculation of integral pollution indices will help more accurately determine the differences and factors that have a negative impact on forest ecosystems.

How to cite: Demina, S., Makhiniya, K., and Vasenev, V.: Analysis of the impact of urbanization on the ecological state of soils and woody vegetation in the forest parks of New Moscow, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12585, https://doi.org/10.5194/egusphere-egu22-12585, 2022.

EGU22-15 | Presentations | SSS9.7 | Highlight

Quality assessment of meta-analyses on soil organic carbon research  

Julia Fohrafellner, Sophie Zechmeister-Boltenstern, Rajasekaran Murugan, and Elena Valkama

The number of meta-analyses published in the field of agriculture is continuously rising. As a consequence of this rising popularity, more and more publications refer to their synthesis work as a meta-analysis, despite applying less than rigorous methodologies. All this gives reason to assume that core criteria, necessary in producing meta-analyses, are not clear to many researchers. As a result, poor quality meta-analyses are published, which might report questionable conclusions and recommendations to policymakers and farmers. This study is therefore aiming to provide fellow soil and agricultural researchers with an easy-to-use set of criteria on how to produce high quality meta-analyses. Alongside, the incorporated scoring scheme supports researchers and policy makers in evaluating the quality of existing agricultural meta-analyses.

We analyzed 31 meta-analyses studying the effects of different management practices on SOC between the years 2005-2020. Moreover, the retrieved meta-analyses were structured according to eleven management categories which allowed us to analyze and assess the quality of the state-of-knowledge on these categories. We found that, although overall quality was rising, meta-analyses on SOC still do not reach sufficient quality and a maximum score may be reached only by the year 2032.

Especially for the reporting of literature search, application of standard metrics for effect size calculation, correct weighting, extraction of independent effect sizes and database presentation, major deficiencies were found. In some cases, the term “meta-analysis” is still falsely used to describe quantitative syntheses of any style. Only one out of 31 meta-analyses in the category “tillage” applied a rigorous meta-analytical methodology and received a high overall quality score.

We conclude that, in order for the scientific community to provide high quality synthesis work and to push forward the sustainable management of agricultural soils, we need to adapt rigorous methodologies of meta-analysis as quickly as possible.

How to cite: Fohrafellner, J., Zechmeister-Boltenstern, S., Murugan, R., and Valkama, E.: Quality assessment of meta-analyses on soil organic carbon research , EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-15, https://doi.org/10.5194/egusphere-egu22-15, 2022.

EGU22-175 | Presentations | SSS9.7

Modelling of pedogenic carbonates formation in karst soils – a case from Dalmatia (Croatia) 

Josip Šušnjar, David Domínguez-Villar, Aleksandra Bensa, Mirna Švob, and Kristina Krklec

Pedogenic carbonates are secondary carbonate deposits that are often found in soils developed over carbonate rocks in Mediterranean region. Their formation is a result of dissolution and reprecipitation of existing geogenic, biogenic and/or pedogenic carbonates. Intensity of the dissolution processes affecting carbonates depends on multitude of factors but is mostly controlled by soil water drainage and concentration of soil air CO2.

While percolating through soils and carbonate rocks, water dissolves carbonate minerals until reaching saturation state. Change in environmental conditions impacting concentration of soil air CO2 (e.g., increase of temperature, decrease of soil water content), change of the soil water chemistry and evapotranspiration can lead to supersaturation of water in regard to Calcite and formation of pedogenic carbonates. In case of physicochemical precipitation, pedogenic carbonates precipitate in form of diffuse, small crystals and nodules. On the other hand, biologically influenced precipitation commonly results in different morphologies such as rhizolits, bacterial/fungal mats, etc. Pedogenic carbonates can occur in wide range of climates, thus their morphology and accumulation depth depend on mean annual precipitation. If sufficient time has passed, translocation of carbonates in the soil profile results in formation of calcic horizon.

We studied a 0.6 m deep Red Mediterranean Soil profile in Dalmatia (Croatia) having a calcic horizon at the bottom. Diffuse calcite particles and small nodules forming this horizon record different events of dissolution and precipitation. Based on data on soil temperature, soil water content, soil bulk electrical conductivity and soil air CO2 collected during a 3-month monitoring period we developed a thermodynamic model for dissolution and precipitation of calcite in the soil. Results show that soil air CO2 (affected by soil water content and temperature) is the main control of the calcite reactions. Furthermore, during the monitoring period 83% of the calcite dissolved was reprecipitated as pedogenic carbonate. Therefore, although dissolution is the main process governing denudation rate of karst areas (i.e., lowering of the surface), formation of pedogenic carbonates in soils could impact denudation rate of carbonate terrains.

Acknowledgements

This work is part of the research project “Inter-comparison of karst denudation measurement methods” (KADEME, IP-2018-01-7080) and “Young Researchers’ Career Development Project – Training New Doctoral Students” (DOK-2021-02) financed by Croatian Science Foundation.

How to cite: Šušnjar, J., Domínguez-Villar, D., Bensa, A., Švob, M., and Krklec, K.: Modelling of pedogenic carbonates formation in karst soils – a case from Dalmatia (Croatia), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-175, https://doi.org/10.5194/egusphere-egu22-175, 2022.

EGU22-1216 | Presentations | SSS9.7

Efficacy of pedogenetic horizons sampling for site-specific assessment of soil organic matter 

Mauro De Feudis, Gloria Falsone, Gilmo Vianello, Alberto Agnelli, and Livia Vittori Antisari

The role of soil organic carbon (SOC) in avoidance, mitigation and control land degradation in forest ecosystems is largely recognized. For these reasons, a satisfactory SOC monitoring aimed to drive sustainable SOC management is necessary to avoid soil forest degradation. In this work we thus aimed to a) compare the soil organic carbon stock (OC stock) obtained by pedogentic horizons (PED) and fixed depth layer (FIX) in different forest ecosystems; b) discuss the differences in SOC data provided by the two soil sampling approaches, clarifying their major advantages and drawbacks; and c) to assess the ability of PED and FIX sampling approaches to keep information about horizontal and vertical SOC distribution. On the Apennine chain (North Italy), uneven–aged sweet chestnut, European beech and Norway spruce forests were selected. In each site, a representative area (18 m × 18 m) has been selected and, in the centre of the area, a soil profile has been investigated. Further, within the representative areas 8 additional sampling points were identified. Both for soil profiles and the additional sampling points, soil collection was performed both by PED and FIX (0–15 and 15–30 cm). For each forest stand, no difference of OC stock in 0–30 cm soil depth was found between PED and FIX sampling approaches, however SOC distribution along 0-30 cm provided by PED sampling was more informative on SOC dynamics. The findings obtained through the sampling by FIX would indicate a positive effect of conifers on SOC storage, the PED sampling allowed to assess that SOC under spruce forest was greatly stored in the organic horizons (Oe and Oa) because of the recalcitrant nature of the spruce litter, that does not allow the organic carbon stabilization through the association with mineral particles. Therefore, the spruce forest soil would not lead structural stability and resilience to soil degradation. Sampling by PED also preserved the information about the spatial variability within each study site. In fact, we noted higher coefficient of variation when soil horizons were considered compared to FIX (from 19.2 to 72.8% and from 16.5 to 25.7%, respectively). Overall, in a view of SOC monitoring, our findings demonstrated that the sampling by PED draws a better picture of SOC distribution along depth and its potential susceptibility to external factors leading to degradation. Further, the loss of information about SOC stabilization process and spatial variability would indicate the inability of FIX sampling to support decision–making plans addressed for sustainable use of soil resource.

How to cite: De Feudis, M., Falsone, G., Vianello, G., Agnelli, A., and Vittori Antisari, L.: Efficacy of pedogenetic horizons sampling for site-specific assessment of soil organic matter, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1216, https://doi.org/10.5194/egusphere-egu22-1216, 2022.

EGU22-2206 | Presentations | SSS9.7

Conservation tillage practices facilitate soil organic carbon sequestration and aggregate stability via fungal abundance and necromass 

Orracha Sae-Tun, Gernot Bodner, Christoph Rosinger, Thomas Weninger, Sophie Zechmeister-Boltenstern, Axel Mentler, and Katharina Keiblinger

Conservation tillage has been widely applied to improve soil health, sustain crop production, and promote carbon (C) sequestration in soil. Positive effects often depend on the degree of tillage intensity and time of adoption. This study was thus aimed to determine temporal changes of selected soil health indicators under different tillage intensities in a long-term tillage trial.

Accordingly, bulk and rhizosphere soil samples were taken after 8 and 13 years of adoption from topsoil under four different tillage systems ranging from conventional (high intensity), reduced, minimum, to no-tillage (low intensity).  Aggregate stability and soil fungal indicators (ergosterol and glomalin-related soil protein) were analysed. Soil organic carbon stocks were assessed at 10 and 13 years of adoption. To determine long-term effect of tillage on soil microbial necromass accumulation, amino sugars were measured after 13 years of adoption.

Aggregate stability and soil fungal indicators increased with lower tillage intensity for both sampling time points. Conservation tillage practices promoted the accumulation of soil organic carbon and microbial necromass. Interestingly, among conservation tillage practices, the soil fungal indicators showed highest values for reduced and minimum tillage compared to no-tillage at 13 years of adoption. This suggests that fungal growth could potentially benefit from slight soil disturbance in the long-term. Therefore, reduction of tillage intensity evidently improved soil health by promoting soil carbon sequestration and aggregate stability via fungal growth as well as soil microbial necromass accumulation.

Conventional tillage is most detrimental to soil health indicators, while reduced tillage seem to promote soil biological processes via gentle mixing of soil substrate. Instead, no-tillage is most beneficial to aggregate stability but not for fungal indicators.  

How to cite: Sae-Tun, O., Bodner, G., Rosinger, C., Weninger, T., Zechmeister-Boltenstern, S., Mentler, A., and Keiblinger, K.: Conservation tillage practices facilitate soil organic carbon sequestration and aggregate stability via fungal abundance and necromass, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2206, https://doi.org/10.5194/egusphere-egu22-2206, 2022.

EGU22-2944 | Presentations | SSS9.7

ECOSSE biogeochemical modelling of soil organic carbon from Irish grassland systems - challenges and opportunities 

Alina Premrov, Jesko Zimmermann, Marta Dondini, Stuart Green, Reamonn Fealy, Rowan Fealy, Marie-Laure Decau, Katja Klumpp, Gabriela Mihaela Afrasinei, and Matthew Saunders

In this study we used the biogeochemical model ECOSSE-6.2b [1] in site-specific mode to evaluate/test model accuracy to estimate soil organic carbon (SOC) in Irish grassland systems under mineral soils. The selection of sites and management practices, as well as model inputs and model initialization followed procedures explained in Premrov et al. (2021) and (2020) [2],[3]. Results indicated a possible overestimation of modelled SOC for some grassland management categories, highlighted the sensitivity of the model to the initial SOC inputs and demonstrated the need for replicated measurements of SOC over time [4]. One of the challenges faced in this study was the lack of availability of site-specific data for the selected Irish sites, such as data on livestock stocking rates (SR) for grazed grasslands, which can differ greatly from year to year. SR could be only estimated as a single numeric value for each site, which demonstrated the need for greater availability and more detailed site-specific data for Irish grasslands. The availability of repeated measurements of SOC over time for the whole country represented another major challenge in modelling SOC for Irish grassland systems [4]. It is thought that the modelling undertaken here could be further enhanced using additional time-dependent SOC soil-point data, such as LUCAS data [5], as this would provide datasets that have repeated measurements of SOC needed for further model evaluation and parameterization. This work also showed a significant potential for further model improvement; grazing-induced vegetation changes, and associated impacts on SOC, could be accounted by introducing new types of grazed grassland vegetation parameters into the ECOSSE model [4]. These modelling opportunities could also have significant potential for further assessment of SOC dynamics and for spatial and temporal upscaling.

 

Acknowledgements

SOLUM project is funded under the Irish EPA Research programme 2014-2020.

 

Literature

[1] Smith, J., et al. (2010). ECOSSE. User Manual.

[2] Premrov, A., et al. (2021). Insights into ECOSSE modelling of soil organic carbon at site scale

from Irish grassland sites and a French grazed experimental plot. EGU21-1879. https://doi.org/10.5194/egusphere-egu21-1879; (CC BY 4).

[3] Premrov, A., et al. (2020). Insights into modelling of soil organic carbon from Irish grassland sites using ECOSSE model. EGU2020-8090. doi.org/10.5194/egusphere-egu2020-18940; (CC BY 4).

[4] Saunders, M. et al. (2021) Soil Organic Carbon and Land Use Mapping (SOLUM) (2016-CCRP-MS.40). EPA Research Report.

[5] JRC (2020). LUCAS 2015, ESDAC. JRC. EC.

How to cite: Premrov, A., Zimmermann, J., Dondini, M., Green, S., Fealy, R., Fealy, R., Decau, M.-L., Klumpp, K., Afrasinei, G. M., and Saunders, M.: ECOSSE biogeochemical modelling of soil organic carbon from Irish grassland systems - challenges and opportunities, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2944, https://doi.org/10.5194/egusphere-egu22-2944, 2022.

EGU22-3501 | Presentations | SSS9.7

Tillage erosion as an important driver of soil organic carbon (SOC) dynamics long before agricultural mechanisation 

Lena Katharina Öttl, Florian Wilken, Marie-Rose Degg, Marc Wehrhan, Anna Juřicová, Michael Sommer, and Peter Fiener

Tillage erosion is known to be a major soil degradation process that is mainly associated with increasingly mechanised agriculture since the early 1950s. However, especially soil truncation on convex hilltops and slope shoulders can be already identified on historical aerial photos of our study region in Northeast Germany from the 1950s.

The aim of the study is to better understand the effect of mechanised and especially long-term non-mechanised soil redistribution processes on soil organic carbon (SOC) dynamics over the past 1000 years since the beginning of widespread soil cultivation in our study region and their contribution to the question of soil being a carbon (C) sink or source.

Therefore, a modified version of the spatially explicit soil redistribution and C turnover model SPEROS-C was applied on a large-scale catchment (approx. 200 km²) to simulate lateral soil and SOC redistribution, SOC turnover and erosion-induced vertical mixing within the profile (spatial and vertical resolution 5 m x 5 m and 0.1 m soil depth increments, respectively). The uncertainty of the modelling approach was estimated by varying the input variables according to different realisations of the development of agricultural management over the past 1000 years. The results were validated with an erosion classification derived from Sentinel-2 data and UAV based estimation of topsoil SOC. The lowest SOC stocks were found on hilltops, which points at tillage erosion as the major driver of soil degradation.

Our results show that the beginning influence of tillage erosion on catchment wide vertical SOC fluxes can be traced back to around 500 years ago. This clearly indicates that non-mechanised tillage erosion from the early stage of cultivation affected the SOC patterns in the study area and hence impacts todays C cycling.

How to cite: Öttl, L. K., Wilken, F., Degg, M.-R., Wehrhan, M., Juřicová, A., Sommer, M., and Fiener, P.: Tillage erosion as an important driver of soil organic carbon (SOC) dynamics long before agricultural mechanisation, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3501, https://doi.org/10.5194/egusphere-egu22-3501, 2022.

EGU22-3667 | Presentations | SSS9.7

Organic and inorganic carbon in managed forest soils of the Emilia-Romagna Region (Northeastern Italy) 

Valentina Brombin, Gian Marco Salani, Enrico Mistri, Mauro De Feudis, Gloria Falsone, Livia Vittori Antisari, and Gianlcua Bianchini

Forest soils contain a large amount of carbon and play an important role in its global cycle. As forest soil organic carbon (SOC) mineralization is one of the major sources of atmospheric carbon, small changes of SOC can have effects on climate. Therefore, the Rural Development Programme (RDP) of Emilia-Romagna Region (Northeastern Italy) financed our SuoBo project, which aims to assess and preserve the quantity and quality of soil organic matter (SOM) in mountainous forest ecosystems located on the Apennine chain of the Emilia-Romagna Region. Our specific goal was to explore the response of SOC pools to forest thinning under two vegetation types. For this purpose, a chestnut forest of Beghelli farm (BEG), located at about 550 m a.s.l., and a mixed forest of Branchicciolo farm (BRA), located at about 225 m a.s.l, were selected. Soil samples were collected from each forest stand at 0-15 cm and 15-30 cm depths, in October 2020 in both farms and then in July 2021 in BRA farm and September 2021 in BEG farm. The soil samples were analyzed for the elemental contents and isotopic ratios (δ13C) of the soil total (TC), organic (SOC) and inorganic (SIC) carbon using an elemental analyzer coupled with an isotope ratio mass spectrometer. In October 2020, forest soil in BRA had higher TC, SOC, and SIC content in 0-30 cm (average: 7.1, 4.8 and 2.3 wt%, respectively) than in BEG (3.0, 2.8 and 0.1 wt%, respectively). The δ13CTC of the BRA soil is less negative than that of the BEG farm (–17.3‰ and –25.9‰, respectively) due to the higher SIC content, inherited by the parent rock mainly composed by limestones. In 2021, after one year since the thinning intervention, the TC and SOC contents in BEG soil were like those recorded in 2020, whereas those in BRA soils showed lower values. In particular in the superficial layer of BRA soils (0-15 cm), the SOC decreased from 6.9% to 4.1% in 2020 and 2021, respectively, while SIC content was unchanged (2.0 vs 2.1 wt%). Even in the deepest layer (15-30 cm) SIC remained the same over time (2.5 vs 2.4 wt%), while SOC decreased (2.5 vs 1.2 wt%). Also, the changes of δ13CSOC underlined a loss of organic matter from 2020 to 2021 (0-15 cm: –27.0 vs –26.2‰; 15-30 cm: –26.2 vs –25.9‰). Different concomitants may be contributing to this significant decrease in SOC: a) the different period of soil sampling (autumn vs summer), considering that the year 2021 is one of the seven warmest years on record globally and BRA has a lower altitude than BEG; b) the high slope (>45°) and the triggering of erosion process after the thinning intervention, which took away the surface soil, mainly characterized by organic hemitransformed horizons (e.g., Oe horizons). The future planned analyses of the quality of the SOM through i) chemical extraction and separation of the different humic fractions and ii) stability of the C fractions at different temperatures with a SoliTOC analyzer will shed a light on the prevailing phenomenon.

How to cite: Brombin, V., Salani, G. M., Mistri, E., De Feudis, M., Falsone, G., Vittori Antisari, L., and Bianchini, G.: Organic and inorganic carbon in managed forest soils of the Emilia-Romagna Region (Northeastern Italy), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3667, https://doi.org/10.5194/egusphere-egu22-3667, 2022.

 Land use through its control on vegetation and fertilization can impact on soil geochemistry which in turn also
influences the stabilization of soil organic carbon (SOC). Here, we assess soil organic carbon pools following a
fractionation method by Zimmermann et al. (2007), and analyse the fate of SOC with a process-based soil genesis
model, SoilGen2. We hypothesized that geochemical properties influenced the distribution of SOC and these
properties can be applied in a model context to modify the decay rate of soil carbon pool. A set of volcanic soils
data from Mt.Tangkuban Perahu and Mt. Burangrang in Indonesia covering different land uses (primary forest,
pine forest, and agriculture) from Holocene age was used in this study. In the model, calibration was done
sequentially including (i) weathering of amorphous and primary minerals, and (ii) decay of soil organic carbon.
These processes are represented by various process parameters, and each simulation was run on a 8-10k year
time scale. Our SOC fractionation study showed that the dominant SOC pool was located in sand-aggregate
fractions and was higher with agricultural land use. This pool was positively correlated to pH, exchangeable Ca,
aluminum-oxalate extraction (Al
o), and amorphous materials. This result is also in line with a better performance
in the SOC model by applying geochemically-modified rates. Our calibrated model shows the advantage of
including geochemical rate modifier in the volcanic soils. Further, the SOC levels will also be investigated under
different climate projection using SoilGen model.
 

How to cite: Anindita, S., Sleutel, S., and Finke, P.: Evaluating the distribution and mineralization of soil organic carbon pool in relation to soil geochemistry under different land use in volcanic soil, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4661, https://doi.org/10.5194/egusphere-egu22-4661, 2022.

EGU22-5018 | Presentations | SSS9.7

Nitrogen use efficiency of plant species matters: CO2 emission from soil inorganic carbon and its temperature dependence in a calcareous soil 

Lichao Fan, Jingjing Tao, Guodong Shao, Juanjuan Ai, and Kazem Zamanian

Terrestrial ecosystems play a significant role in global warming by regulating CO2 concentration in the atmosphere. A comprehensive understanding of carbon (C) sources and stocks in soils, as well as the driving mechanisms, are critical to reducing CO2 emission from soil and thus mitigating climate change. To date, most studies have solely focused on processes involving soil organic C (SOC), but few studies have addressed the potential contribution of soil inorganic C (SIC) mostly CaCO3 pool to ecosystem C fluxes. SIC can potentially be a regulator of atmospheric CO2. However, so far the effects of plant species (i.e. variations in nitrogen (N) demand and N use efficiency (NUE)) as well as soil temperature on SIC-derived CO2 are unclear. We hypothesized that 1) relatively less SIC-derived CO2 is expected from soils covered under plant species with lower N demand and higher NUE. We conducted a 4-month field experiment from June to October 2021 at the research station of the University of Göttingen in Deppoldshausen (51.58oN, 9.97oE) with ca. 6% CaCO3 equivalent in the topsoil. We analyzed the effects of two plant species 1) wheat (high N demand and low NUE), 2) legume (low N demand and high NUE) and two N fertilization (urea) levels, 1) low (50 kg N ha-1), 2) high (200 kg N ha-1) on CO2 emission out of SIC. Each treatment had four replicate plots (1×1 m2), and at least a 0.5 m gap was established between plots. We measured CO2 fluxes weekly by using the static chamber method. The δ13C natural abundance was used to determine the contribution of SIC and SOC in the emitted CO2. The total CO2 emission and its δ13C signature increased with soil temperature, indicating that the portion (%) of SIC-derived CO2 was stimulated by temperature (oC) (slope = 0.33). The portion of SIC-derived CO2 stimulated by temperature increased faster under wheat than under legume (slope = 0.36 vs. 0.26), especially under high N treatment (slope = 0.65 vs. 0.54). The portion of SIC-derived CO2 under wheat (13.0%) was higher than that under legume (11.3%). Moreover, the portion of SIC-derived CO2 was 1.2% higher under wheat than under legume at high N fertilization level, whereas it was increased to 2.2% under low N fertilization. This indicates a significant role of plant species with different N demand and NUE on dynamics of SIC pool and its contribution in CO2 emission from soil. The rate of SIC-derived CO2 was comparable between wheat and legume under high N fertilization, but it was 1.6 times higher under wheat than that under legume at low N fertilization. The contribution of SIC-derived C to the atmosphere was ~63.7 g C m-2 yr-1 under legume with low N demand vs. ~82.1 g C m-2 yr-1 under wheat with high N demand. In this regard, the impacts of plant species and their N demand and NUE are important controlling factors determining the dynamics of the SIC pool in agroecosystems.

How to cite: Fan, L., Tao, J., Shao, G., Ai, J., and Zamanian, K.: Nitrogen use efficiency of plant species matters: CO2 emission from soil inorganic carbon and its temperature dependence in a calcareous soil, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5018, https://doi.org/10.5194/egusphere-egu22-5018, 2022.

EGU22-5184 | Presentations | SSS9.7

Increasing topsoil and subsoil organic carbon storage with improved rotation in cropland-grassland agroecosystems 

Thomas Guillaume, David Makowski, Saïd Elfouki, Luca Bragazza, Zamir Libohova, and Sokrat Sinaj

Soil organic carbon (SOC) accumulation in agroecosystems is a promising solution to simultaneously improve food security and mitigate climate change. Indeed, because of their large carbon deficit, cropland soils can potentially sequester a substantial amount of atmospheric carbon (C). To estimate the soil C-sequestration potential, it is critical to derive reliable estimations of the current soil C-saturation level. This step is essential to obtain an accurate quantification of C-deficits in cultivated soils. In addition, it is important to identify agricultural practices that favor SOC accumulation in order to reduce the soil C-deficit. Based on a 30-year old soil monitoring network of multiple cropland (CR) and permanent grassland (PG) sites established in western Switzerland, we (i) quantified the C-deficit in croplands, (ii) identified the factors driving the C-deficit and (iii) evaluated the assumption that grasslands can be used as C-saturated reference sites. We demonstrated that SOC in CR were depleted by a third compared to PG. The main factor affecting C-deficit in CR was the proportion of temporary grasslands (TG) within the crop rotation. We also showed that PG have not reached their C-saturation level in the study area and that additional C could be stored in PG soil under optimal management. When accounting for pedo-climatic differences, the C-deficit of CR that do not include TG in the rotation was equivalent to 3 kg C m-2 down to 50 cm depth. The relationship between the proportion of TG in the rotation and SOC stocks in the topsoil (0-20 cm) and subsoil (20-50 cm) was linear and similar at both depths, revealing the strong potential of the subsoil to sequester C.

How to cite: Guillaume, T., Makowski, D., Elfouki, S., Bragazza, L., Libohova, Z., and Sinaj, S.: Increasing topsoil and subsoil organic carbon storage with improved rotation in cropland-grassland agroecosystems, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5184, https://doi.org/10.5194/egusphere-egu22-5184, 2022.

EGU22-5503 | Presentations | SSS9.7

Nitrogen fertilizers control CO2 emission from calcareous soils: implications for land management and global warming 

Jingjing Tao, Lichao Fan, Jianbin Zhou, Yakov Kuzyakov, and Kazem Zamanian

Soil acidification has increasingly become a critical issue for sustainable production due to the excessive nitrogen (N) fertilization in agricultural systems. Application of N fertilizers and the consequent nitrification yield protons (H+), which strongly and irreversibly accelerate dissolution of soil inorganic carbon (SIC) e.g., CaCO3, leading to CO2 release in the atmosphere. Here, 14C-labeled CaCO3 was added to calcareous soil (0.75% CaCO3) to investigate the effects of chicken manure, urea, NH4NO3, KNO3 and (NH4)2SO4 on soil acidification and to estimate the SIC contribution to CO2 emission. 250 mL gas-tight jars were filled with a cropland soil (pH = 7.2), homogenously mixed with 1.3% Ca14CO3 powder (14C activity = 11.3 kBq pot-1). Following fertilization in rates of 0.1, 0.15, 0.25 g N kg-1 soil, NaOH was applied to trap the emitted CO2 and to determine 14C activity. CaCO3 addition increased soil pH values by 0.17-0.43 units. Addition of ammonium-based fertilizers ((NH4)2SO4, NH4NO3) strongly decreased pH up to 0.3 units. All fertilizers increased CO2 emission (5.1%-180%) compared to the unfertilized soil after 44 days of incubation except KNO3. SIC-originated CO2 due to fertilization was ranged from 2.9 to 160 mg C kg-1 (1.1% to 48% of total emitted CO2). Manure and urea had lowest impacts on SIC-driven CO2 during the first 5 days (2.9-34 mg C kg-1) irrespective of the application rate. Thereafter, the effects of fertilizers on SIC-originated CO2 increased in the order: urea < manure < KNO3 < NH4NO3 < (NH4)2SO4. As nitrification of (NH4)2SO4 yields in 4 mol H+, which neutralizes 2 mol carbonates, it initially caused the highest SIC-originated CO2 until 9 days. Urea and NH4NO3 release by nitrification 2 mol H+ per mole of fertilizer, but urea initially hydrolyses to NH4OH, which increases soil pH. So, urea addition had the minimum SIC loss as CO2 in the first 5 days, but starting from 16th day, CO2 emission sharply increased and reached to highest values among the fertilizers. Manure increased SIC-originated CO2 emission from 23rd day of incubation. Gradual and incomplete mineralization of organic N of chicken manure duration 44 days explains the smallest released CO2 from CaCO3 and slowest acidification in the first 16 days. Furthermore, Ca2+ and Mg2+ in manure may be precipitated as carbonates, which decrease the SIC share in the emitted CO2. Generally, the higher the applied fertilizer amounts, the larger was the proportion of CO2 released from SIC. Both the fertilizer chemistry and the application rate played significant roles in dissolution of carbonates. Summarizing, the correct selection of the type and amount of fertilizers based on soil properties and plant demand is necessary to decrease SIC-originated CO2 emission to mitigate global warming, and also save various ecosystem services such as organic matter stability and increase C sequestration.

How to cite: Tao, J., Fan, L., Zhou, J., Kuzyakov, Y., and Zamanian, K.: Nitrogen fertilizers control CO2 emission from calcareous soils: implications for land management and global warming, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5503, https://doi.org/10.5194/egusphere-egu22-5503, 2022.

EGU22-5894 | Presentations | SSS9.7

SOC indicator of land-degradation: responses of continuous and non-standard discrete RothC  models to environmental changes  

Carmela Marangi, Fasma Diele, Ilenia Luiso, Angela Martiradonna, and Edyta Wozniak

The effects of environmental change on ecosystem dynamics is nowadays a major research question. Soil organic carbon (SOC) models are integrated into many ecosystem models for projecting the effects of these changes in the achievement of land degradation neutrality. The  Rothamsted Carbon (RothC) model, initially developed to simulate the effects of different practices for long-term agricultural experimental sites, can be successfully used to monitor and project the SOC indicator of land degradation. Here, continuous and discrete versions of the RothC model are firstly compared on classical long-term experiments carried out at the Rothamsted Experimental Station; then a non-standard monthly time stepping procedure is used to evaluate the response of the model to changes of temperature, Net Primary Production (NPP), and land use soil class (forest, grassland, arable)  in the protected areas of Alta Murgia National Park in the Italian Apulia region and Magura National Park in Polish Subcarpathian Voivodeship.  

How to cite: Marangi, C., Diele, F., Luiso, I., Martiradonna, A., and Wozniak, E.: SOC indicator of land-degradation: responses of continuous and non-standard discrete RothC  models to environmental changes , EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5894, https://doi.org/10.5194/egusphere-egu22-5894, 2022.

EGU22-10997 | Presentations | SSS9.7

The LANDSUPPORT best practices tool identifies optimized solutions for the health of agricultural soils 

Alessia Perego, Marco Acutis, Marco Botta, Tommaso Tadiello, Giuliano Langella, Fabio Terribile, Marialaura Bancheri, and Angelo Basile

In the LANDSUPPORT project (H2020-RUR-2017-2/No. 774234), we have developed a web-based “Best Practices tool” that runs on the fly (https://dev.landsupport.eu/template.html) to identify optimized solutions for enhancing soil fertility and reducing nitrate leaching. The tool works at a regional scale (average area of approximately 2500 km2) in three case studies (Marchfeld – Austria, Campania Region – Italy, Zala County – Hungary) with a what-if scenario approach. The tool is dynamically linked to the ARMOSA process-based model, which simulates at a daily time step many combinations of farming systems (conservation, organic, conventional), crops, nitrogen fertilization rates, tillage solutions, crop residues management (up to 2520 combinations). ARMOSA simulates crop growth, soil water dynamics, nitrogen and carbon cycling.

The tool is meant to be applied by public authorities, such as regional environmental agencies, to find the best solutions out of feasible management practices according to the overall goal (e.g., increase in soil organic carbon stock, reduction of nitrate leaching) or by farmers who want to evaluate the crop production under current and optimized management.

The user defines the region of interest (ROI). To this ROI the tool automatically associates the soil profiles, having properties (texture, initial soil organic carbon, bulk density) described for each horizontal layer.

For a given region of interest within the case study being characterized by specific soil properties, the user sets the combination of agronomic practices with the interface: climate scenario (20 years), crops, system, fertilization rates, residues management, tillage, and the use of cover crops. The user-friendly interface hides the high complexity of the soil and crop processes which are simulated by ARMOSA, which has many crop and soil parameters. Parameters have been calibrated using the dataset available in the project and in previous studies.

For each of the simulated soils and scenarios, the tool returns the mean annual value of (1) the crop yield, (2) the nitrate leaching at the bottom of the soil profile, and (3) the change of the soil organic carbon stock in the upper soil layer (0-0.4 m). The tool also provides the value of the synthetic “best practices index” (IBP) that is computed as a linear combination of the three variables and the weights that the user dynamically assigns to each of the variables according to the specific goal (e.g., increase in soil organic carbon). The user can then sort by descending order the IBP values to identify the most suitable solutions (i.e., combinations of practices). The mean value of IBP is plotted in charts for each of the simulated combinations.

Due to the link to the ARMOSA process-based model, the tool offers the great opportunity of a close representation of actual and optimized cropping systems with the possibility of further applications at a larger scale (e.g., European scale), in other regional case studies, and in tailored scenarios in which the user enters her/his own data of soil properties and climate. 

How to cite: Perego, A., Acutis, M., Botta, M., Tadiello, T., Langella, G., Terribile, F., Bancheri, M., and Basile, A.: The LANDSUPPORT best practices tool identifies optimized solutions for the health of agricultural soils, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10997, https://doi.org/10.5194/egusphere-egu22-10997, 2022.

EGU22-12599 | Presentations | SSS9.7

Estimation of soil organic carbon and nitrogen stocks in Irish peatlands using a predictive modeling approach 

Kilian Walz, Florence Renou-Wilson, David Wilson, and Kenneth A. Byrne

Peatlands play a crucial role in the global carbon cycle and are a major ecosystem with potential to remove greenhouse gases from the atmosphere. Ombrotrophic peatlands constitute the largest soil organic carbon (SOC) stock in Republic of Ireland (ROI) and cover an estimated 20% of the land surface. Peatland nitrogen (N) stock remains unknown, despite its crucial role in peatland degradation with subsequent nitrous oxide (N2O) emissions and eutrophication of downstream ecosystems. Land use impacts are major drivers of both peatland carbon and N stock degradation and disturbance of the peatland carbon sink function. Hence, in the context of this research it is assumed that past and present land use activity, including afforestation, grazing, and domestic and industrial peat extraction for energy and horticultural use, are likely to affect peat SOC and N stocks.

To date, estimation of the peat SOC-stock in ROI was based on non-directly measured values of SOC-concentration, dry bulk density and peat depth. In this study, these properties were measured for the first time along the entire peat soil profile at national scale across the major ombrotrophic peatland types and land uses. A predictive modeling approach, which compared linear and additive mixed-effects models, formed the basis for quantifying SOC and N stocks. The approach encompassed a model evaluation that used an iterative data-splitting algorithm, combined with an assessment of the bias-variance trade-off.

Our results depict a similar pattern for both SOC and N stocks, with mean stock estimates (t ha-1) largest for near-natural bogs. The largest total amount (Mt) of SOC and N was stored in bogs (recently) used for domestic peat extraction. Stock calculations based on modelled SOC and N values resulted in initial estimates for the entire national peatland area and peatland type-land use strata of Irish peatlands. They revealed that national peatland SOC is nearly twice as large as previously calculated. Mixed-model analysis of main stock determinants revealed major influence of peat depth for quantification of stocks. It confirmed that land use exerts a strong influence on bulk density and SOC, whereas peat depth was found to be strongly associated with land use category.

The presented approach allowed quantification of SOC and N stocks for larger areas based on clustered soil data. It provided a methodology for identifying the best performing model to be implemented in stock assessments, thereby avoiding under- or over-parameterization. The study fills a gap in peat SOC quantification in ROI by updating existing uncertain estimates for peat SOC stock, and by providing the first estimates for national ombrotrophic peat N stock, based on measured covariates.

How to cite: Walz, K., Renou-Wilson, F., Wilson, D., and Byrne, K. A.: Estimation of soil organic carbon and nitrogen stocks in Irish peatlands using a predictive modeling approach, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12599, https://doi.org/10.5194/egusphere-egu22-12599, 2022.

Among the several methods that have been proposed for mitigating carbon concentration in the atmosphere, enhanced rock weathering is regarded as a low-cost, low-energy and readily scalable approach that can store atmospheric CO2 for up to thousands of years through converting alkaline earth metals into stable carbonates. Application of silicate-rich minerals (e.g., wollastonite, basalt and olivine) has been found effective for capturing atmospheric carbon in different terrestrial mediums, including agricultural and urban soils.

In Ontario, Canada, we have been performing long-term research on pedogenic carbonate formation in agricultural soils amended with crushed wollastonite/dolomite rock mined in Ontario. The mineral has been applied to the topsoil of a number of experimental and farming fields, and shallow soil samples are periodically collected at different depths (including 0-15 cm, 15-30 cm, 30-60 cm, and 60-100 cm profiles) from these plots in order to estimate the rate and amount sequestrated carbon, and its migration across soil/sub-soil horizons over several years.

These experiments are part of our effort to develop analytical and modeling toolboxes for verifying soil inorganic carbon sequestration, in view of qualifying this practice for carbon credits. Such toolboxes can become valuable for private and governmental entities in contributing to meet emissions reduction goals, and in encouraging the adoption of ERW as a reliable and verifiable negative emissions technology. This presentation will present the status of the field trials and toolbox development, and our latest findings and research directions.

How to cite: Khalidy, R., Chiang, Y. W., and Santos, R. M.: Long-term field studies in Canada on monitoring pedogenic carbonate formation in agricultural soils via enhanced weathering of wollastonite: status and latest findings, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13056, https://doi.org/10.5194/egusphere-egu22-13056, 2022.

EGU22-182 | Presentations | SSS9.8

Evaluation of the OpenLisem and MohidLand models to simulate post-fire hydrological events 

Marta Basso, Jacob Keizer, and Diana Vieira

The hydrological impacts of wildfires on downstream waterbodies are well documented and pose risks to both aquatic ecosystems and flood zones. Consumption of vegetation and heating-induced changes in topsoil properties by fire can substantially increase peaks in runoff and sediment yield during rainfall events, making the prediction of the hydrological response of recently burned catchment of extreme importance for assessing downstream flooding and water contamination risks. Despite recent advances, calibration of hydrological models to simulate post-fire events is still a major challenge. This is mainly due to the rapid changes in post-fire conditions between successive events (e.g. vegetation recovery, soil water repellency) and the high sensitivity of models when applied to event-based simulations.

This work aims to advance in the application of existing hydrological models to post-fire rainfall-runoff events. To this end, a calibration methodology was developed using explanatory variables measured in the field as proxies for model inputs and, as such, has the potential to be reproduced in burned catchments in different environmental settings.

Among the existing hydrological models, OpenLisem and MohidLand were selected both for their established use in Portuguese territory and for their ability to predict the hydrological response at high temporal resolutions. OpenLisem is an event-based model that simulates quickflow at a fixed time step (dependent on grid size) while MohidLand is a continuous model that simulates not just quickflow but all components of the water cycle at a variable timestep.

As a case study, a small (<1 km2) headwater catchment in north-central Portugal was selected. The catchment was burned by a wildfire during summer 2016 at mostly moderate fire severity. A total of 12 rainfall events were selected during the first post-fire year, of which seven were used for model calibration and five for validation.

After calibrating and validating quickflow, peak flow, and time of the peaks with OpenLisem, the input field data and the calibrated parameters were used to run MohidLand at event scale. The increasing complexity from OpenLISEM to MohidLand allowed us to study the reliability of applying such methodology, and to obtain additional components of the hydrologic cycle, which are unavailable when applying OpenLISEM alone.

Saturated hydraulic conductivity and Manning’s n are among the most sensitive parameters when simulating quickflow in recently burned areas and have been used as calibration parameters for the simulations. The spatio-temporal variability of both parameters at catchment level was derived from a combination of fire severity, post-fire vegetation cover, and initial soil moisture content.

Our preliminary results show that the calibration methodology provided satisfactory model performance for both OpenLisem and MohidLand. Unexpectedly, MohidLand was efficiently able to simulate quickflow at this temporal scale despite not having been, contrary to OpenLisem, developed to be applied at this temporal scale.

How to cite: Basso, M., Keizer, J., and Vieira, D.: Evaluation of the OpenLisem and MohidLand models to simulate post-fire hydrological events, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-182, https://doi.org/10.5194/egusphere-egu22-182, 2022.

EGU22-543 | Presentations | SSS9.8

Impact of wildfires on long-term erosion rates: comparing connectivity indices and landscape evolution modelling 

Joana Parente, João Pedro Nunes, Jantiene Baartman, and Dante Föllmi

Mediterranean countries, such as Portugal, are often associated with soil erosion and land degradation risks, which cause an increasing pressure on ecosystem services. In most of these countries, wildfires occur during the summer, and are usually followed by heavy rainfall events which, in combination with steep slopes and in some cases lack of vegetation cover, can easily provoke runoff and erosion. This is generally due to three main erosion contribution processes: i) a reduction of interception and evapotranspiration; ii) a decrease in infiltration and soil water retention; iii) a reduction in obstacles. For the latter, burnt areas tend to increase water and sediment connectivity by changing vegetation cover and physico-chemical soil properties. Sediment connectivity in a specific catchment is affected by its size, land cover and land use, and the distribution of hillslopes and floodplains (Borselli et al., 2008). Taking this in mind, this study aims to assess post-fire soil erosion patterns at the decadal scale comparing different approaches. The methodology comprises i) a process-based model that is able to investigate long-term and large-scale spatial landscape evolution, LAPSUS; (ii) an index that represents a connectivity assessment based on local landscape information, the Borselli Index of Connectivity (IC); and (iii) an index that represents the sediment eroded that actually reaches the stream based on local landscape information, combining the IC with the Revised Universal Soil Loss Equation (RUSLE) model. Results include a comparison between the approaches used in the context of specific fire events between 1979 and 2020 for the Agueda watershed in central Portugal. The authors believe that assessing the spatial-temporal evolution of connectivity in the actual landscape with the right tool is extremely important to estimate the probability that a given part of the landscape transfers its sediments elsewhere in the catchment.

References

Borselli, L., Cassi, P., Torri, D., 2008. Prolegomena to sediment and flow connectivity in the landscape: A GIS and field numerical assessment. Catena 75, 268–277. https://doi.org/10.1016/j.catena.2008.07.006 

Acknowledges

This work was produced in the framework of project FRISCO - managing Fire-induced RISks of water quality Contamination (PCIF/MPG/0044/2018), and funding attributed to the CE3C research center (UIDB/00329/2020). 

How to cite: Parente, J., Nunes, J. P., Baartman, J., and Föllmi, D.: Impact of wildfires on long-term erosion rates: comparing connectivity indices and landscape evolution modelling, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-543, https://doi.org/10.5194/egusphere-egu22-543, 2022.

EGU22-544 | Presentations | SSS9.8

Long-term prescribed fires effects on biological properties of an Eutric Cambisol (Tella-Sin, Central Pyrenees) 

Andoni Alfaro-Leranoz, David Badia-Villas, Ana Paula Conte-Dominguez, Clara Marti-Dalmau, and Oriol Ortiz-Perpiña

Livestock density reduction, together with climate change, is facilitating the substitution of grasslands by shrublands (Komac et al., 2013; Nadal-Romero et al., 2016), which leads to a higher fire risk (Vélez, 2012) and a loss of soil biodiversity (Caballero et al., 2009). Fire Service performs prescribed fires in different shrublands of the alpine environments with two objectives: preventing large forest fires, reducing fuel load and breaking its continuity, and recovering pasturelands. However, these prescribed fires could affect the soil properties, especially the biological ones, as these are affected even at low temperatures (Santín & Doerr, 2016).

To find out, a study to determine the short-, mid- and long-term evolution of prescribed fires effects on soil properties has been conducted in Tella-Sin (Central Pyrenees), with dense canopy cover Echinospartum horridum shrublands and Eutric Cambisol soils. In a cross-sectional study, plots recently burned (B0), in the mid-term (6 years before, B6) and long-term (10 years before, B10) have been selected to be compared with a non-burned plot (UB). Soil samples were collected up to 3 cm of depth, based on Girona et al. (2019). Soil biological properties were analyzed: Microbial carbon (Cmic), soil respiration (SR) and soil enzymatic β-glucosidase activity (β-G). Some physical (soil water repellency (SWR), soil aggregate stability (SAS)) and chemical (pH, electrical conductivity (EC), soil total organic carbon (SOC)) properties were also measured.

Results obtained from this study showed non-significant interactions between post-fire time and depth for all the studied properties. Permanent short-term effects were found only for β-G activity, which suffered a significant decrease that persisted even in B10 plot. SR and SOC were highly correlated and both suffered a mid-term significant decrease that did not reach back UB values even in B10 plot. SOC and SWR showed a high correlation as well. No significant effects were found for Cmic, although a mid- a long-term decrease, with a p-value of 0.0534, was found.

In conclusion, even though prescribed fires do not usually have immediate effects on most soil properties, mid- and long-term effects, especially in those properties related to the SOC content, can be found. One of the most sensible biological properties of the soil is β-G activity, which was the only one, out of all the studied properties, that suffered a significant permanent short-term negative impact.

REFERENCES

Caballero, R.; Fernández González, F.; Pérez Badía, R.; Molle, G.; Roggero, P.P.; Bagella, S.; D'Ottavio, P.; Papanastasis, V.P.; Fotiadis, G.; Sidiropoulou, A.; Ispikoudis, I. (2009). Pastos 39, 9–154.

Girona-García, A.; Ortiz Perpiñá, O.; Badía-Villas, D. (2019). Journal of Environmental Management, 233, 695-705. ISSN 0301-4797. https://doi.org/10.1016/j.jenvman.2018.12.057

Komac, B.; Kefi, S.; Nuche, P.; Escós, J.; Alados, C.L. (2013). Journal of Environmental Management, 121, 160-169. ISSN 0301-4797. https://doi.org/10.1016/j.jenvman.2013.01.038

Nadal-Romero, E.; Cammeraat, E.; Pérez-Cardiel, E.; Lasanta, T. (2016). Agriculture, Ecosystems & Environment, 228, 91-100. https://doi.org/10.1016/j.agee.2016.05.003

Santín, C.; Doerr, S.H.; (2016). Philosophical Transactions of the Royal Society B: Biological Sciences 371, 20150171. https://doi.org/10.1098/rstb.2015.0171

Vélez, R. (2012). Introducción. Capítulo 1. pp. 10-19. In: Quemas prescritas realizadas por los EPRIF. MAGRAMA. ISBN: 978-84-8014-839-9.

How to cite: Alfaro-Leranoz, A., Badia-Villas, D., Conte-Dominguez, A. P., Marti-Dalmau, C., and Ortiz-Perpiña, O.: Long-term prescribed fires effects on biological properties of an Eutric Cambisol (Tella-Sin, Central Pyrenees), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-544, https://doi.org/10.5194/egusphere-egu22-544, 2022.

EGU22-1096 | Presentations | SSS9.8

Water quality response to slash-pile burning in a Mediterranean environment (Croatia) 

Domina Delač, Ivica Kisić, Željka Zgorelec, Aleksandra Perčin, and Paulo Pereira

Slash-pile burning is a common practice in land management across the Mediterranean environment mainly for removing unwanted biomass. This practice is known to have negative effects on topsoil due to high temperatures.  However, the impact on water quality has often been neglected. To address this issue, two experimental burns were conducted: one with moderate (MS), and one with high (HS) severity, to monitor the impact of these practices on water quality. The unburned (UB) treatment, was set aside from the burn treatments. The natural vegetation is composed of Maquis shrubland and meadow plants (Foeniculum vulgare Mill., Elymus repens (L.) Gould, Digitaria sanguinalis (L.) Scop.). The soil type is classified as Leptosol and has a silty clay loam texture with 11.5%, 58.9%, and 29.6% of sand, silt, and clay content, respectively. Treatments were carried out on a sloping terrain (~ 18 °) characteristic of the Mediterranean landscape. Runoff and erosion samples were collected 22 times during the two-year study after major rainfall events. The properties studied were: surface runoff, sediment yield, total carbon in sediment (TC), and water quality parameters such as pH, electrical conductivity (EC), and concentrations of bromine (Br¯), chloride (Cl¯), sulfate (SO42¯), phosphate (PO4³¯), fluoride (F¯), potassium (K⁺), sodium (Na⁺), calcium (Ca²⁺), and magnesium (Mg²⁺). Overall, changes in water quality were consistent with the effects of burning in the first post-burn months, while runoff and sediment yield were more dependent on precipitation patterns, regardless of vegetation cover in the later sampling period. TC had higher levels in HS than in MS, and was increased in both burn treatments at later sampling dates. In the context of changes in water chemistry, the observed effect was more pronounced in HS, while the hydrological response showed high levels in MS. However, the UB also showed significant changes in water quality following major rain events, which was attributed to soil saturation. Our research suggests that slash-pile burning has negative impact on water quality, and it is recommended that biomass be used in other ways, especially in the context of soil and water conservation.

Keywords: burning, runoff, rainfall, vegetation, water conservation

Acknowledgment: The work was supported by the Croatian science foundation under the project “Influence of Summer Fire on Soil and Water Quality” (IP-2018-01-1645).

How to cite: Delač, D., Kisić, I., Zgorelec, Ž., Perčin, A., and Pereira, P.: Water quality response to slash-pile burning in a Mediterranean environment (Croatia), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1096, https://doi.org/10.5194/egusphere-egu22-1096, 2022.

EGU22-2469 | Presentations | SSS9.8

Effects on soil and vegetation of prescribed burn in the southeast of the iberian peninsula 

Álvaro Fajardo, Daniel Moya, Esther Peña, Pedro Plaza-Álvarez, Javier González, Asunción Díaz, Raúl Botella, Manuel-Esteban Borja-Lucas, Elena Gómez, and Jorge De las Heras

With current global warming, the exacerbation of climate change and the progression of neglect in rural areas, forest fires are increasing in extent and severity. To alleviate these changes in the fire regime and seek the reduction of large severe fires, the use of fire as a preventive management tool is being implemented through the application of prescribed burns in Mediterranean forests, used in forestry actions to reduce the understory and break both vertical and horizontal continuity of fuels. In this study we want to see the efficacy of the treatment by determining the effects of the prescribed burns on the soil, both physical-chemical and biological parameters, as well as on the vegetation, in a semi-arid forest ecosystem. The prescribed burns were performed in the municipality of Ayna, Albacete (SE Spain). To evaluate and monitor the ecological damage to the soil in the short term (1 year), CO2 flow measurement cameras were used to measure soil respiration, mini-disk infiltrometers, with a monthly monitoring period throughout the year. The results do not show significant alterations in all the parameters studied due to these prescribed burns over a long period, stabilizing together with the unburned plots. However, in the short period of time (3 months later), some variables are affected. This study aims to observe, and make known, the effects that these actions have on the soil, being these of great relevance to carry out a design, management, and application of these tools to forest management in the Mediterranean area.

How to cite: Fajardo, Á., Moya, D., Peña, E., Plaza-Álvarez, P., González, J., Díaz, A., Botella, R., Borja-Lucas, M.-E., Gómez, E., and De las Heras, J.: Effects on soil and vegetation of prescribed burn in the southeast of the iberian peninsula, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2469, https://doi.org/10.5194/egusphere-egu22-2469, 2022.

EGU22-4224 | Presentations | SSS9.8

Evaluating and Interpreting Post-fire Water Quality Changes in Portuguese Reservoirs 

Niels Nitzsche, João Pedro Nunes, and Joana Parente

Wildfires can have adverse impacts on adjacent aquatic ecosystems, the hydrological cycle and ultimately water management. Recent global events have cemented the need to study these impacts in fire-prone Regions. Surface waters experience contamination by ash loads and fire-induced erosion, where contaminants, both organic and inorganic are introduced into surface water bodies after precipitation events. These contaminants can be detected directly or indirectly through monitoring basic water quality parameters as proxies. 

This study is exploring the impacts of wildfires on the water quality of Portuguese water reservoirs, by analyzing and interpreting changes in water quality that occurred over the past 30 years (1990-2020). Yearly burned areas were calculated for the watersheds of selected reservoirs to identify major fire events. Time series of water quality parameters (BOD, COD, DO, NO3, TP, Conductivity, TSS and pH) from around 75 different reservoirs in Portugal were then explored via changepoint analysis to detect post-fire responses in each watershed. Further, possible causes or drivers for water quality impacts, such as the burned area, land-use, aridity, watershed size to reservoir volume ratio and fire severity will be explored and weighed through logistic regression techniques.  

The burned area of the examined watersheds ranged from <1% per year to around 85% per year. Preliminary results suggest high thresholds in fire size to detect clear impacts in the measured parameters. With fire season becoming more extreme in Mediterranean regions, larger impacts on reservoirs can be expected in the future.  

Acknowledgement: This work was produced in the framework of project FRISCO - managing Fire-induced RISks of water quality Contamination (PCIF/MPG/0044/2018), and funding attributed to the CE3C research center (UIDB/00329/2020). 

How to cite: Nitzsche, N., Nunes, J. P., and Parente, J.: Evaluating and Interpreting Post-fire Water Quality Changes in Portuguese Reservoirs, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4224, https://doi.org/10.5194/egusphere-egu22-4224, 2022.

EGU22-4443 | Presentations | SSS9.8

Early warning system for forest fires in Greece: developments and upgrades in the frame of Climpact project 

Vassiliki Kotroni, Theodore Giannaros, Eleni Dragozi, Kostas Lagouvardos, Antonis Bezes, and Ioannis Koletsis

The METEO unit of the National Observatory of Athens has developed and applies a set of operational services that employ state-of-the-art observational and modeling techniques with the aim to assist both the citizens and the authorities in better preventing, addressing, and ultimately mitigating the adverse impacts of forest fires. The early warning system platform, which has been initially developed in the frame of DISARM project, had been upgraded with improved functionalities in the frame of the CLIMPACT project, a flagship initiative on climate change to coordinate a Pan-Hellenic network of institutions.

The presentation focuses on the description of the system that encompasses the following pillars:

(a) Forecasting of forest fire danger: four widely used indices (Canadian Fire Weather Index - CFWI, Modified Nesterov, Fosberg and Haines) are operationally calculated for the next 3 days at 6kmx6km and 2kmx2km spatial resolution based on 3 state-of-the-art numerical weather prediction models (WRF, Bolam, Moloch). Especially for CFWI the fire danger thresholds have been adapted to the fire environment of Greece;

(b) Real time monitoring of the fire weather conditions: The monitoring is based on the online network of meteorological stations operated by the METEO Unit of NOA that includes ~450 stations across Greece. Fire weather monitoring also includes the daily estimation of landscape flammability using as a proxy the dead fuel moisture content (DFMC). DFMC is calculated using a physically based fuel moisture model and weather station data.

(c) IRIS a rapid response system for fire spread forecasting:  WRF-ARW NWP model and FIRE two-dimensional fire spread model are applied, along with a prototype high-resolution geospatial dataset for the representation of fuels, in a fully-coupled mode in order to account for the two-way interaction between fire and the atmosphere . Major upgrades of the IRIS system achieved in the frame of CLIMPACT include the online calculation of dead fuel moisture, the increase of spatial resolution (40mx40m pixels) of the prototype fuel model for Greece, and the delivery of a forecast guidancewhich includes the categorization (using a 7-level scale) of forest fires based on the forecasted behavioral characteristics.

How to cite: Kotroni, V., Giannaros, T., Dragozi, E., Lagouvardos, K., Bezes, A., and Koletsis, I.: Early warning system for forest fires in Greece: developments and upgrades in the frame of Climpact project, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4443, https://doi.org/10.5194/egusphere-egu22-4443, 2022.

EGU22-5043 | Presentations | SSS9.8

Operational Estimation of Daily Dead Fuel Moisture Content (DFMC): The case of Greece 

Eleni Dragozi, Theodore M. Giannaros, Vassiliki Kotroni, Konstantinos Lagouvardos, and Ioannis Koletsis

Over the past years, the Mediterranean areas have been experiencing more frequent and more severe wildfires. In this context, the estimation of dead fine fuel moisture content (DFMC) has become an integral part of wildfire management since it provides valuable information for the flammability status of the vegetation. The aim of this study is to evaluate effectiveness of Nolan et al.’s (2016) recently developed DFMC model in the light of operational use, for a Euro Mediterranean region (Greece). To do so, we tested and compared two existing approaches for estimating daily DFMC. In the first approach (MODIS DFMC model), we calculated daily DFMC from MODIS remote sensing data, using the DFMC calibrated model of Nolan et.al (2016) at regional and national level. In the second approach (AWSs DFMC model), we produced daily DFMC maps at country level from meteorological data using Nolan’s model as well. Then, we validated the satellite-based DFMC thematic maps (MODIS DFMC maps) that were produced at sub-regional level using meteorological data obtained from the dense network of ΝΟΑΝΝ surface weather stations operated by the National Observatory of Athens (NOA). Due to a lack of DFMC field measurements, the validation of the weather-station based DFMC maps was not feasible (AWSs DFMC maps). Finally, we compared the two approaches in order to identify which is the most appropriate for operational fire management in Greece.

Results show that, in general, the satellite-based model achieved satisfactory accuracy in estimating the spatial distribution of the DFMC during the examined fire events. More specifically, the validation of the satellite-derived DFMC against the weather-station based DFMC indicated that, in all cases examined, the MODIS DFMC model tended to underestimate DFMC, with MBE ranging from -0.3% to -7.3%. Moreover, in almost all the cases examined, the MAE of the MODIS DFMC model was less than 2.2%. The good performance of the satellite based DFMC model indicates that the estimation of DFMC is feasible at various spatial scales in Greece. A closer examination of the analysis results revealed poor estimation of the satellite-derived vapor pressure deficit (D), and subsequently of DFMC, in arid and semi-arid regions. D’s poor estimation can be explained by the fact that the LST, retrieved by MODIS data, depends on the accuracy of the surface emissivity.

Examination and visual interpretation of the derived maps from both approaches suggest that the AWSs DFMC maps show higher spatial continuity in comparison to that derived from the MODIS-based approach. This is attributed to the gap problem in the satellite images.

Finally, the examination and comparison of the two approaches regarding their use on operational basis shows that the two models present some implementation challenges. Nevertheless, the AWSs DFMC model meets the requirements for operational DFMC mapping to a higher degree compared to the MODIS DFMC model, in Greece. This work was conducted in the frame of CLIMPACT – National Νetwork on Climate Change and its Impacts, a flagship initiative on climate change to coordinate a Pan-Hellenic network of institutions.

How to cite: Dragozi, E., Giannaros, T. M., Kotroni, V., Lagouvardos, K., and Koletsis, I.: Operational Estimation of Daily Dead Fuel Moisture Content (DFMC): The case of Greece, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5043, https://doi.org/10.5194/egusphere-egu22-5043, 2022.

EGU22-5727 | Presentations | SSS9.8

Lessons learned from the extreme wildfires of early August 2021 in Greece 

Theodore Giannaros, Georgios Papavasileiou, Konstantinos Lagouvardos, Vassiliki Kotroni, Stavros Dafis, Athanassios Karagiannidis, and Eleni Dragozi

This work focuses on the extreme pyroconvective wildfires that impacted southern Greece in early August 2021. These wildfires were unprecedented in extent, intensity, and impacts. They broke out in Attica, Euboea, Elis, Messenia, and Laconia, on August 03 and 04, 2021, and kept burning for several days. Observational evidence indicates that all wildfires exhibited extreme fire behavior, characterized by erratic fire spread, prolific spotting, and the formation of pyroclouds. The factors that contributed to this outbreak of extreme wildfires are sought in the combination of (1) antecedent meteorological conditions that allowed for the accumulation and extreme dry-out of fuels, and (2) concurrent adverse fire weather that enabled the wildfires to couple with the atmosphere and evolve into extreme pyroconvective events. Both topics serve as the motivation of this work, which presents a preliminary analysis of the extreme early August 2021 wildfires in Greece. The analysis was conducted employing ground-based and spaceborne observations. Results indicate the build-up of large potential for the occurrence of extreme wildfires in the affected regions since at least the beginning of the 2021 fire season. Our overarching goal is to consolidate the need for early detection and warning of elevated potential for extreme pyroconvective events, which are becoming a globally increasing concern due to inter alia climate change. The presented work was conducted in the frame of the CLIMPACT and FLAME (project number: 00559) research projects.

How to cite: Giannaros, T., Papavasileiou, G., Lagouvardos, K., Kotroni, V., Dafis, S., Karagiannidis, A., and Dragozi, E.: Lessons learned from the extreme wildfires of early August 2021 in Greece, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5727, https://doi.org/10.5194/egusphere-egu22-5727, 2022.

EGU22-6435 | Presentations | SSS9.8

Characteristics of wildfires in the Eastern Alps 

Sandra Melzner, Nurit Shtober-Zisu, Oded Katz, and Lea Wittenberg

The Eastern Alps are an important tourist destination and attract many visitors every year for their scenic beauty, sports attractions and rich cultural heritage. Tourism is an important source of income and contributes to the revival or maintenance of local traditions. However, tourism also has potential negative impacts on the regions, for example Austria's largest forest fire in Hirschwang near Reichenau an der Rax (district of Neunkirchen) in the period 25.10.2021 to 6.11.2021 was anthropogenically triggered by tourists.

In addition to the anthropogenic factors, the increase in extreme weather events caused by climate change and its scale dependent variations are a major challenge in the preparation of wildfire risk maps.

Wildfires in steep Alpine valleys behave differently than those on flat or moderate inclined slopes. The present work describes a wildfire that occurred in August 2018 in a famous world-heritage site in Austria (Melzner et al. 2019), which was presumably initiated by a carelessly discarded cigarette or the reflection of a broken glass bottle at the foot of the rockwall. Indicators of fire severity and rockfall occurrence during and after the fire are described.

The vertical rockwalls, the anabatic winds and patchy vegetation pattern, caused an upward jumping of the fire resulting in a spotty fire pattern. This most probably resulted in spatially varying fire intensities, and consequently highly heterogenic changes in soil and rockmass structure. The wildfire clearly showed that wildfires can have a significant impact on ecosystems and pose a high risk to settlements in the Alpine area. The rockfall hazard and risk assessment conducted in 2014 (Melzner 2015) enabled a fast decision making as part of an emergency response during and after the wildfire catastrophe in terms of identification of possibly endangered houses and planning of preliminary rockfall preventive measures.

How to cite: Melzner, S., Shtober-Zisu, N., Katz, O., and Wittenberg, L.: Characteristics of wildfires in the Eastern Alps, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6435, https://doi.org/10.5194/egusphere-egu22-6435, 2022.

EGU22-6561 | Presentations | SSS9.8

Ground cover retrieval with Hyper- and Multi- spectral data fusion for post-fire soil erosion modelling - The Castanheira de Pêra study site. 

Giacomo Lazzeri, Diana C. S. Vieira, Oscar González-Pelayo, William Frodella, Jan Jacob Keizer, and Sandro Moretti

The identification of the type and extent of the area damaged by natural hazards such as wildfires using Earth Observation data can contribute to a better understanding of the processes affecting the Man-Nature system and, thereby, Man’s capability for sustainable land management. Fire effects are not limited to vegetation and litter cover and composition but include topsoil properties, both of which contribute to the enhanced hydrological and geomorphological activity typically observed in recently burnt areas. The present study focusses on fire-induced changes in topsoil properties, vegetation and ground cover and how this latter parameter can be acquired via satellite multi- and hyperspectral analysis for the determination of soil erosion model ground cover inputs. This objective has been achieved via the comparison of field ground cover data with multi and hyperspectral satellite derived data. Hence, we applied both types of ground cover data – i.e. field and satellite-based to the same erosion model to assess how the different model input values affected the differences between predicted and observed soil erosion rates.
To this end, the present study applied the modified Morgan-Morgan-Finney (MMF) erosion model to a pine plantation that had recently been burnt by the dramatic, June-2017 Pedrógão wildfire in Central Portugal. The MMF model was calibrated against the observed plot-scale erosion rates and the seasonal patterns therein, operating on the effective hydrological depth, fire severity impact and ground cover. Furthermore, we tested satellite and field based burn severity assessments and compared both model predictions with the field erosion measurements at plot scale. Additionally, the MMF input parameters linked to vegetation cover were estimated from field observations as well as various remotely-sensed indexes derived from Sentinel-2 MSI (MultiSensing Instrument) and PRISMA (HyperSpectral Precursor of the Applicative Mission) hyperspectral data. The results showed that remote sensing data can provide valuable estimates of post-fire vegetation recovery for parameterization of the MMF model for the first post-fire year. An important condition, however, is that the spatio-temporal resolution of the satellite-based data match the spatial patterns in fire severity on the one hand, and, on the other, the changes in soil erosion processes with time-since-fire. Therefore, factors such as pre-fire fuel load, vegetation composition and topsoil properties will require careful consideration when extrapolating the current results to other burnt areas.

How to cite: Lazzeri, G., Vieira, D. C. S., González-Pelayo, O., Frodella, W., Keizer, J. J., and Moretti, S.: Ground cover retrieval with Hyper- and Multi- spectral data fusion for post-fire soil erosion modelling - The Castanheira de Pêra study site., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6561, https://doi.org/10.5194/egusphere-egu22-6561, 2022.

EGU22-9293 | Presentations | SSS9.8

Effectiveness of log timber barriers to reduce erosion from terraced swales 

Joana Silva, Antonio Girona-Garcia, Mathijs Augustijn, Ana Machado, Ricardo Martins, Martinho Martins, Marta Basso, Liliana Simões, Carola Cretella, Diana Vieira, and Jacob Keizer

Extreme erosive responses after wildfires and the effectiveness of so-called emergency stabilization measures have been poorly quantified for convergent hillslopes and catchments, especially in comparison with (micro)plots and planar hillslopes. Yet, in Portugal, the barrier-based measures have been preferred in operational emergency stabilization. This recent study assessed the effectiveness of log barriers at reducing post-fire erosion at the swale scale within the framework of the INTERREG-SUDOE project EPyRIS (SOE2/P5/E0811). The study was conducted in Penouços (Aveiro, central Portugal), in an area burned by a wildfire in early September 2020, affecting 2035 ha. Before the first rainfall event after the wildfire occurred, three pairs of swales (0.3-2.7 ha), located in the part of the burned area managed by the Portuguese Nature Conservation and Forests Institute, were instrumented at their outlets with sediment fences. The magnitude of the erosion produced at each micro-catchment after the first post-fire rainfall was the criteria on which it was decided how many barriers needed to be installed and in which swale. In this way, 2, 1 and 4 barriers were installed in swales 2, 4, and 5, respectively, because of their higher sediment delivery, while swales 1, 3, and 6 were left untreated and used as control.

Over the first post-fire year, only swale 4 wasn’t producing less sediment than the respective control, swale 3, in absolute terms. Yet, in relative terms, the three swales with the barriers are producing 0-1 % of the sediment yields prior to the barriers’ installation. The initial, pre-treatment ratio of the erosion rates of the to-be-treated swale divided by the erosion rates of the paired untreated swale ranged from 6.3 for pair 2/1 to 10.4 for pair 4/3. Over the post-treatment period, the ratios markedly decreased, to 7.5 in the case of pair 4/3 and even well below 1 in the case of pairs 2/1 (0.1) and 5/6 (0.5). To validate these estimates of mitigation effectiveness, the sediments deposited at the upstream side of the barriers were collected at the end of the first post-fire year. The deposited sediments varied widely between the six barriers, from 8.9 to 192 kg, as well as between the three treated swales, from 8.9 to 462 kg. When summing the deposited sediments to the results of the outlets, the total sediment production is 606, 99.6, and 4271 kg/ha on swales 2, 4 and 5, respectively. These indicate that the sediments collected in the outlet of the swales represent only 24, 66 and 34% of the total sediments redistributed within the micro-catchment.

This poster will present the detailed differences of the sediment production in each paired micro-catchment during the first post-fire year and the efficiency of the barriers as an emergency stabilization measure discussing them in function of terrain characteristics and rainfall regime.

How to cite: Silva, J., Girona-Garcia, A., Augustijn, M., Machado, A., Martins, R., Martins, M., Basso, M., Simões, L., Cretella, C., Vieira, D., and Keizer, J.: Effectiveness of log timber barriers to reduce erosion from terraced swales, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9293, https://doi.org/10.5194/egusphere-egu22-9293, 2022.

EGU22-9680 | Presentations | SSS9.8

A lysimeter study of nutrient mobilization from wildfire and factory ashes by overland flow and soil leaching 

Liliana Beatriz Simões, Joana Silva, Leandro Macedo Godoy, Ana Isabel Machado, Ricardo Martins, Isabel Campos, and Jan Jacob Keizer

Wildfires are documented to affect physical, chemical and biological properties of topsoil. Besides through the direct heating-induced impacts, wildfires can also affect topsoil properties indirectly through the ash layer deposited on the soil surface immediately after fire. These indirect ash effects are less well understood, because of the marked dynamics in ash loads with time-since-fire due to mobilization by wind and water erosion. Therefore, we took advantage of a lysimeter study - a controlled experiment under field conditions - into the mobilization of ashes by overland flow, to address the ash impacts on topsoil nutrient contents. The lysimeter study involved a total of 15 lysimeters with a surface area of 50 cm by 120 cm and at a slope angle of approximately 10°. The lysimeters were equally and randomly distributed over five treatments. Four treatments involved the application of two types of ash at a rate of 500 g.m-2 on a 2-3cm-thick layer of soil (in fact, sediments from the Mondego river), while the fifth, control treatment did not. One ash type consisted of black ashes collected in a 2020 burnt mature pine plantation in north-central Portugal, while the white ashes were obtained from a paper mill factory. In turn, two treatments per ash type involved the presence vs. absence of a 10cm-wide strip of 1cm-diameter PVC bars with a density of 1000 bars per m-2, mimicking a riparian vegetation zone and, assess its effectiveness to retain eroded ashes preventing them from entering streams. The lysimeter experiment ran for 7 weeks, starting on September 6 (ash application) and ending on 22 October 2021, covering the period that typically corresponds to the initial phase of the post-fire window-of-disturbance in the study region. At the end of the experiment, the upper 2cm of the soil were sampled at 3 locations within each lysimeter, in its middle and halfway its upper and lower halves. This was done after removing the remaining ashes on the soil surface. All soil samples were analysed for their contents of available Phosphorus (Pav) and total Nitrogen (TN) but, at this moment, only the Pav analyses have been concluded. The preliminary Pav results revealed a much smaller enrichment by the black than white ashes. The median Pav contents were 4.6 microgram per gram of soil for the control lysimeters as opposed to  5.6 and 9.2  microgram per gram of soil for the lysimeters with black and white ashes, respectively.  This difference in enrichment could be linked to the differences in Pav content of the two ash types, being 1.9 and 1.0 microgram per gram of the white and black ash, respectively. Furthermore, the Pav enrichment was not affected by the presence/absence of the simulated riparian zone at the bottom of the lysimeters, as the differences in Pav contents of the lysimeters with and without these zones amounted to 0.1 microgram Pav per gram of soil in the case of both the black and the white ashes.

How to cite: Simões, L. B., Silva, J., Macedo Godoy, L., Machado, A. I., Martins, R., Campos, I., and Keizer, J. J.: A lysimeter study of nutrient mobilization from wildfire and factory ashes by overland flow and soil leaching, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9680, https://doi.org/10.5194/egusphere-egu22-9680, 2022.

EGU22-9699 | Presentations | SSS9.8

Mobilization of black and white ashes by overland flow and their retention by riparian vegetation - preliminary results from a lysimeter experiment 

Leandro Macedo Godoy, Liliana Beatriz Simões, Ana Isabel Machado, Ricardo Martins, Isabel Campos, and Jan Jacob Keizer

Wildfires are now widely documented to produce strong to extreme runoff and erosion responses during the so-called window-of-disturbance. However, the role of wildfire ash in post-fire runoff generation and especially the contribution of wildfire ash to post-fire erosion rates are still poorly studied. The same applies for the effectiveness of erosion control measures to reduce ash mobilization by runoff. To address these knowledge gaps, we carried out a lysimeter experiment in which overland flow and the associated transport of sediments and ashes was compared for five treatments. Four treatments involved the application of black ash from a wildfire or white ash from a paper pulp factory, both with and without a simulated riparian strip at the bottom of the slope, while the fifth treatment was the control without ash as well as without the riparian strip. Each of the five treatments was applied to three randomly selected lysimeters. The lysimeters had a surface area of 50 cm by 120 cm, a slope angle of approximately 10 degrees and were topped up with a 2-3cm-thick layer of soil (in fact, sediments from the Mondego river) over a sand and a gravel layer. Overland flow was collected at the bottom of the lysimeters and diverted into a tank using a garden hose. The experiment started on 6 September 2021 with the application of the ash at a rate of 500 g m-2 and ended on 22 October 2021, coinciding with the initial phase of the post-fire window-of-disturbance in the study region. During this 7-week period, overland flow was measured at a total of five occasions following significant rainfall events and, whenever possible, samples collected for laboratory analysis of their concentration of total suspended sediment (TSS) and their organic matter fractions.  The preliminary results for the lysimeters without riparian strip suggested that the two types of ashes played contrasting roles in overland flow generation. The average amount of overland flow over the 7-week period was higher for the lysimeters with white ashes than for the control lysimeters (36.0 vs. 31.2 l), while the opposite was true for the lysimeters with black ashes (26.8 l). These differences in overland flow were associated with differences in TSS concentrations that were the opposite, averaging 11.7 and 20.4 g l-1 over the entire study period in the case of the lysimeters with white and black ashes, respectively. The overall TSS concentrations also suggested a marked role for the riparian strips but only in the case of the black ashes, dropping to 15.3 g l-1. In the case of the white ashes, the overall TSS concentrations were the same with as without the riparian strips.

How to cite: Macedo Godoy, L., Beatriz Simões, L., Machado, A. I., Martins, R., Campos, I., and Jacob Keizer, J.: Mobilization of black and white ashes by overland flow and their retention by riparian vegetation - preliminary results from a lysimeter experiment, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9699, https://doi.org/10.5194/egusphere-egu22-9699, 2022.

EGU22-9851 | Presentations | SSS9.8

Wildfire ash mobilization by run-on under controlled laboratory conditions: Qualitative analysis 

Ricardo Martins, Jacob Keizer, Isa Gama, Isabel P. de Lima, and João L.M.P de Lima

Globally, high erosion rates are being triggered by extreme rainfall/runoff events. Ashes and char, by-product of devastating wildfires are the first particles mobilized and depleted. The contribution of the ash/char layer to the overall erosion process is still unestablished especially since separating ash and char fraction from litter, soil and eroded sediments is far from trivial. To address this knowledge gap, ASHMOB project (CENTRO-01-0145-FEDER-029351) is studying the mobilization of wildfire ash by wind and water erosion under controlled laboratory conditions as well as field conditions. The present study aims at contributing to the current knowledge on the physical process behind the mobilization of ashes and char when subject to runoff. This research is the second phase of the physical experiments on the mobilization by water of wildfire ash and char, performed at the Laboratory of Hydraulics, Water Resources and Environment of the University of Coimbra. To characterize ash erosion, a multi-channel flume was used (i.e., 5 parallel equal channels), which runs 5 replicate run-on events with exactly the same hydraulic conditions. To collect the full sample, a cart with trays moved at an established and controlled pace under the flumes, allowing the collection of water, ashes and sediments, thus characterising both hydrographs and ash yields for all event and replicate. Temporal resolution was fixed at 20 seconds per tray. Six major variables were tested: (1) Ash depth; (2) Type of burnt vegetation; (3) Ash layer length; (4) Ash particle size; (5) Slope. Preliminary results show that: (1) Smaller ash depths require lower flows to be mobilised by; (2) Pinus pinaster and Eucalyptus globulus have a different behaviour from Arbutus unedo ashes as the former tend to be transported more as a "aggregated block or chunk", possibly due to buoyancy, and the latter more like sediments; It was also observed that a higher number of large particles of char tend to provide a somewhat larger protection to the finer ashes than having little or no large particles of char; (3) a longer, in the flow direction,  layer of Arbutus unedo ashes has little to no impact in the mobilisation process, whereas for the other vegetations, a longer layer implies less transport relative to the initial amount of ashes; (4) smaller particle sizes, when left without the "protection" of larger char particles are transported more easily; (5) Slope has a large impact on the transport of ashes, especially when considering the same bed roughness.

How to cite: Martins, R., Keizer, J., Gama, I., de Lima, I. P., and de Lima, J. L. M. P.: Wildfire ash mobilization by run-on under controlled laboratory conditions: Qualitative analysis, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9851, https://doi.org/10.5194/egusphere-egu22-9851, 2022.

EGU22-10166 | Presentations | SSS9.8

Mapping Wildfire Fuels, Behavior, and Hazard in a Managed Temperate Forest Using Airborne LiDAR and Sentinel-1 & -2 

Johannes Heisig, Edward Olson, and Edzer Pebesma

In the light of climate change both number and duration of droughts and heat waves in Central Europe are projected to increase. Such developments will affect vegetative fuels and may alter the local fire regime. Wildfire is expected to expand into new, traditionally non-fire-prone regions such as the temperate zone. While having been a negligible threat until recently, more and larger fires can be anticipated in Central Europe.

Integrated fire hazard is a valuable metric for forest and fire management and may support safety planning efforts and decision-making. It combines flame length and burn probability which can be derived from fire spread simulations. These rely on multiple spatial variables related to topography, climate and fuels. Information on fuels is thereby most challenging to acquire as they vary significantly in space and time. Modeling surface and canopy fuel variables requires extensive field data. Both can strongly benefit from incorporating remote sensing data in their prediction.

We present a comprehensive assessment of wildfire fuels, behavior and hazard for a small managed temperate forest in north-western Germany. Dominant species present include Scots pine (Pinus sylvestris), European Beech (Fagus sylvatica) and red oak (Quercus rubra). Located in a densely populated region the study area is highly frequented for recreational purposes.

Field data was collected to describe surface (n = 215) and canopy (n = 30) fuel characteristics. A total of 119 variables was extracted from airborne LiDAR point clouds and Sentinel-1 and -2 imagery. These facilitate predictive modeling of spatially continuous fuel variables at 10 meter resolution. Three surface fuel types were classified using a Random Forest model combined with a Forward Feature Selection process. Canopy Cover, Canopy Height and Crown Base Height were directly derived from LiDAR data. Crown Bulk Density was modeled through Ridge regression. The classification model scored an OA of 0.971 (Kappa: 0.967) whereas the regression model performed notably weaker (RMSE = 0.054; R² = 0.59).

We simulated fire spread from random ignitions considering an array of environmental scenarios with varying wind speed, air temperature and fuel moisture content. Results show most elevated fire hazard for high wind speeds and low fuel moisture. Further, slope and surface fuel type are relevant factors. Fires burned fastest and most frequently on slopes in large homogeneous pine stands. Therefore, preventative measures should be focused on these sites.

 

How to cite: Heisig, J., Olson, E., and Pebesma, E.: Mapping Wildfire Fuels, Behavior, and Hazard in a Managed Temperate Forest Using Airborne LiDAR and Sentinel-1 & -2, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10166, https://doi.org/10.5194/egusphere-egu22-10166, 2022.

Wildfires around the world continue to increase in size, severity, and cost. Major concerns after wildfires include the increased runoff and erosion due to loss of the protective forest floor layer, loss of water storage, and creation of water repellent soil conditions. Salvage logging is often a post-fire forest management action to recoup the economic loss of the burned timber, yet concerns arise due to the impacts of this activity on erosion and downstream sedimentation. A decade of research dedicated to impacts of post wildfire salvage logging throughout the Western US has been conducted using rill experiments, paired swales, and remote sensing imagery. Using 2-m resolution WorldView imagery, we are now able to map logging equipment tracks spatially and ground-truth the imagery with field measurements. The Normal Difference Vegetation Index (NDVI) of the 2-m resolution WorldView imagery has allowed us to detect disturbed bare soil from the logging equipment tracks and can differentiate when wood slash was added to the track. Adding wood slash increased ground cover significantly which resulted in an order of magnitude decrease in hillslope erosion with the rill experiment and was confirmed with hillslope plots under natural rainfall as well. Riparian buffers are often managed for timber harvest disturbances to decrease the risk of hillslope erosion entering stream channels during runoff events. However, after wildfires, burned riparian buffers may become less efficient at infiltrating runoff and trapping and reducing soil loss. We investigated the efficiency of burnt over riparian buffers with a sediment-laden runoff experiment to determine how much infiltration occurs and how much sediment is removed by the buffer. Rill travel length significantly decreased through the buffer as vegetation regrowth provided increasing ground cover. In the high burn severity areas, sediment concentrations were 19 g/L immediately after the wildfire and reduced to 7–14 g/L after 10 months due to abundant vegetation recovery. The amount of sediment dropping out of the flow consistently increased over the study period and varied by burn severity. The sediment removal rate in the low burn severity area of 1.2 g/L/m approached the removal rate in the unburned buffer of 1.3 g/L/m after 2 years post-fire. Forest managers may need to increase the widths of burned stream buffers 2x to 8x during post-wildfire salvage logging operations to minimize sediment delivery to streams. Integrating erosion mitigation strategies into salvage logging operations should be commonplace when hillslope erosion and downstream sedimentation is a concern.

How to cite: Robichaud, P.: Post Wildfire Forest Management: Can We Reduce the Impact of Salvage Logging on Erosion and Stream Sedimentation?, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10185, https://doi.org/10.5194/egusphere-egu22-10185, 2022.

EGU22-11586 | Presentations | SSS9.8

Alternative post-fire emergency measures efficiency for soil erosion control in semi-arid Mediterranean environments. 

Javier González-Romero, Manuel Esteban Lucas-Borja, Pedro Plaza-Álvarez, Elena Gómez-Sánchez, Alvaro Fajardo, Daniel Moya, Esther Peña-Molina, Pablo Ferrandis, Raúl Botella, Asunción Díaz-Montero, and Jorge De las Heras

Wildfires have historically been a natural alteration in Mediterranean ecosystems. Despite these ecosystems' high resilience, the expected climate change scenarios may lead into more recurrent and severe wildfires, and erosion and degradation processes can be enhanced.

Post-fire restoration measures, seek to minimize wildfire negative impacts on the burned area as well as its ecological rehabilitation. Among these measures, soil stabilization treatments like erosion barriers or mulching are key for erosion and flood control. Nevertheless, its economic viability can be limited, and therefore these treatments must be thoroughly evaluated considering their costs and their efficiency to achieve the objective. Additionally, there is a need to evaluate new techniques, which can be implemented in places where, due to the scarce vegetation, some traditional treatments as log barriers cannot be implemented.  This study seeks to evaluate the cost-efficiency of alternative post-fire emergency measures for erosion control in a semi-arid Mediterranean area.

The study area is located in the SE of Spain, more specifically in Hellín (Albacete). Wildfire took place on July 27 of 2020, and severely affected 266 ha of Pinus halepensis forest. Soil erosion was measured in 9 different micro-catchments (≈0.5 ha) located in the burned area. Three groups of micro-catchments were created, and a different treatment was randomly applied to each group. The applied treatments were the combination of straw mulch (0.25 kg/m2) with contour-felled logs (ML), and prefabricated biodegradable barriers (350 m/ha), Easy-Barriers ® (EB). The last three micro-catchments were designated as control and no treatment was applied.  At the outlet of each micro-catchment, sediment traps were settled to measure sediment yield. Additionally, rainfall intensity and erodibility were measured with pluviometers installed on the field.

The outcomes of the experiment, show that only the ML treatment resulted in a significant reduction (Kruskal-Wallis H test) of the eroded sediment for the first 15 months after fire. For the studied period, a total mean eroded sediment of 9.61 and 8.41 ton/ha was measured at the control and the EB traps respectively, while at the ML traps this amount was significantly lower (1.43 ton/ha).  The difference between the two applied treatments increased as the rainfall events occurred, due to the breaking of the EB and the transport downstream of the sediment they were retaining. Therefore, the measured sediment yield at the EB traps during the autumn of the second year was higher than in the control ones. According to these results, ML must be considered as an effective treatment to soil stabilization, whereas EB did not perform as expected. That underlines the need to improve the strength and durability of the EB, as their aim is to hold on until the vegetation recovery is sufficient to retain those sediments. As well, the efficiency of the combination of EB with mulch treatments should be studied as the use of EB considerably reduce costs and allows managers not to depend on the availability of material to place contour-felled logs throughout the burned area.

How to cite: González-Romero, J., Lucas-Borja, M. E., Plaza-Álvarez, P., Gómez-Sánchez, E., Fajardo, A., Moya, D., Peña-Molina, E., Ferrandis, P., Botella, R., Díaz-Montero, A., and De las Heras, J.: Alternative post-fire emergency measures efficiency for soil erosion control in semi-arid Mediterranean environments., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11586, https://doi.org/10.5194/egusphere-egu22-11586, 2022.

EGU22-11713 | Presentations | SSS9.8

The impact of peatland wildfires on soil acidity 

Abbey L. Marcotte, Juul Limpens, Cathelijne Stoof, and Jetse Stoorvogel

Wildfire in peatlands is of global importance due to the risk of direct carbon release. While considerable attention is given to carbon release, other wildfire impacts and indirect risks, such as the impact on soil pH, remain less studied. Peatlands characteristically require acidic conditions (soil pH ≤ 4.5) for optimal functioning. However, wildfire-produced ash often has a high pH and ash input into soil could potentially increase soil pH.

We studied a wildfire in a raised-bog peatland in the south of the Netherlands – where considerable peat smoldering and ash production occurred – by combining field observations with lab experiments. We measured the pH of topsoil and ash samples, which were collected from the area approximately two months after the wildfire. A smoldering experiment with peat was done to estimate the alkalinity in freshly produced ash (herein: ‘fresh ash’) and to able to compare it to ash collected in the field (herein: 'aged ash'). Finally, the amount of fresh ash needed to increase soil pH was quantified in an incubation and titration experiment with ash and peat soil.

All topsoil samples collected from the field were acidic (pH ~3-4), even in sampling locations with ash present. Fresh ash produced in the smouldering experiment was alkaline, while aged ash collected during field work was slightly acidic. This indicates that alkalinity was likely leached from the ash by the time of field work. The incubation experiments showed that a ≥3 cm ash layer is needed to increase soil pH by at least 1 unit. Results suggest that ash, when produced in high enough quantity, can change peatland soil pH. However, dilution and ageing of the ash after a wildfire, as likely occurred in our field site, will constrain the period of elevated soil pH after wildfires and subsequent ash input. This transit increase in soil pH suggests that even wildfires with considerable ash production do not lead to increased soil pH.

How to cite: Marcotte, A. L., Limpens, J., Stoof, C., and Stoorvogel, J.: The impact of peatland wildfires on soil acidity, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11713, https://doi.org/10.5194/egusphere-egu22-11713, 2022.

EGU22-12625 | Presentations | SSS9.8

Post-fire metal exports in a recently burnt eucalypt plantation in North-Central Portugal 

Dalila Serpa, Ana Machado, Isabel Campos, Martha Santos, Fátima Jesus, Bruna Oliveira, Behrouz Gholamahmadi, Martinho Martins, Oscar González-Pelayo, Nelson Abrantes, Jacob Keizer, and Life-Reforest Consortium

Ash and sediments transported by post-fire runoff are a source of hazardous substances, like metals, posing a risk of contamination to the downstream aquatic ecosystems. In the present study, metal mobilization was evaluated using 16 m2 bounded runoff-erosion plots at a eucalypt plantation in Albergaria-a-Velha (Aveiro district, North-Central Portugal) that burnt with moderate severity in September 2019. In total, 9 plots were installed: 3 were treated with eucalypt chopped-bark mulch, another 3 were treated with an innovative barrier-based technique developed within the scope of the LIFE REFOREST project (LIFE17 ENV/ES/000248) consisting of geotubes containing a mycotechnosol and, 3 others were left untreated. Eroded sediments and overland flow were collected during the first post-fire hydrological year. Sediment and overland flow samples were analysed for vanadium (V), chromium (Cr), manganese (Mn), iron (Fe), cobalt (Co), nickel (Ni), copper (Cu), zinc (Zn), arsenic (As), cadmium (Cd) and lead (Pb), which are of concern for both environmental and human health. Given the most recent climate change scenarios, which foresee an increase in fire severity and frequency for the Mediterranean region, this work provides key information for resource managers to define adaptative strategies to effectively safeguard surface water resources.

How to cite: Serpa, D., Machado, A., Campos, I., Santos, M., Jesus, F., Oliveira, B., Gholamahmadi, B., Martins, M., González-Pelayo, O., Abrantes, N., Keizer, J., and Consortium, L.-R.: Post-fire metal exports in a recently burnt eucalypt plantation in North-Central Portugal, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12625, https://doi.org/10.5194/egusphere-egu22-12625, 2022.

EGU22-3300 | Presentations | BG3.18

How important are annual tree stem methane emissions to the total wetland flux? A seasonal case study of subtropical lowland Melaleuca forest. 

Luke Jeffrey, Charly Moras, Douglas Tait, Mitchell Call, Dylan Laicher, James Sippo, Scott Johnston, and Damien Maher

Tree stem methane emissions are gaining rapid research momentum, with about one-third of all literature in this field published in 2021 alone. Long term and seasonal studies are currently rare, limiting our ability to constrain spatial and seasonal emissions variability, and to resolve the tree stem contribution to the total wetland methane flux i.e. soil, water and trees. Here we present preliminary methane flux data from a lowland Melaleuca quinquenervia forest. We measured emissions in situ along a ~3 m amplitude topo-gradient, encompassing forest in lower, transitional and upper elevation zones. Eight (ongoing) field campaigns at monthly intervals, captured flooded to dry to re-flooded site conditions. We measured the stem fluxes from 30 trees at four stem heights, along with 30 adjacent soil and water CH4 fluxes. Ancillary parameters such as pore water (CH4, DO%, pH, temp, redox, EC), water table depth, and soil moisture (VWC %) were also measured. Tree stem fluxes ranged several orders of magnitude between hydrological seasons and topo-gradient zones (ranging from negligible to 17, 426 mmol ha-1 d-1). Soil fluxes were similar in amplitude and shifted from maximal CH4 emissions during the wet conditions, to CH4 uptake in dry locations. The importance of tree stem flux to the net ecosystem flux (NEF) differed between campaigns and hydrological zones, but were most substantial during flooded conditions and ranged from 36-75% of the NEF in the lower and transitional zones during peak emissions respectively. In the upper zone, the tree stem emissions offset the soil sink capacity by ~50% when the water table was closest to the soil surface. This study shows the importance of quantifying lowland tree stem CH4 emissions to the total wetland flux. This data provides important baseline readings for southern hemisphere and Australian wetland forests, that generally experience dynamic rainfall and soil redox oscillations between flooding and droughts.

How to cite: Jeffrey, L., Moras, C., Tait, D., Call, M., Laicher, D., Sippo, J., Johnston, S., and Maher, D.: How important are annual tree stem methane emissions to the total wetland flux? A seasonal case study of subtropical lowland Melaleuca forest., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3300, https://doi.org/10.5194/egusphere-egu22-3300, 2022.

EGU22-3922 | Presentations | BG3.18

Shoot methane emissions follow pronounced diurnal cycles that allow constraining aerobic methane production at the ecosystem-level 

Lukas Kohl, Salla Tenhovirta, Markku Koskinen, Anuliina Putkinen, Marjo Patama, Tatu Polvinen, Ivan Marmarella, T. Matthew Robson, Maria Dominguez, Bartosz Adamczyk, and Mari Pihlatie

Methane production in plant foliage under aerobic conditions remains a cryptic and poorly constrained component of the global methane cycle. While several in-vitro studies reported light-dependent production of methane from plant biomolecules, thus far no studies have investigated methane fluxes at plant shoots during diel cycles. Here, we show that methane emissions from Scots pine shoots follow a distinct diurnal pattern and we demonstrate how these cycles allow estimating an upper limit of shoot methane emissions from ecosystem-atmosphere methane fluxes measured by the eddy covariance method. We present data from three measurement campaigns in forest, garden, and greenhouse settings that quantified methane fluxes of the shoots of Scots pine saplings and adult trees using manual and automated shoot chamber flux measurements systems, two distinct of trace gas analysers (Los Gatos Research UGGA, Picarro G2301). Despite the methodological differences, all campaigns found average methane flux rates between 0.05 and 0.20 nmol g-1 foliar dry weight h-1 in all campaigns. In the garden and greenhouse campaigns, where 24-hour measurement campaigns were possible, shoot methane fluxes exhibited pronounced diurnal cycles with a strong light dependent emission during daytime and low fluxes (mostly below the detection limit) during nighttime. Based on these strong light-dependent diurnal cycles, we were able to calculate an upper limit for shoot methane emissions at the ecosystem level. For this, we quantified the light-dependent and light-independent components of ecosystem-atmosphere methane fluxes measured by eddy covariance, with the light-dependent component tentatively indicating shoot-level methane fluxes. The monthly averages of the so-quantified light-dependent component accounted for 0.0-0.4 nmol methane m-2 sec-1 (range of monthly averages), which corresponds to ~0-1 nmol methane g-1 foliar dry weight h-1. This component is approximately 10-fold higher than shoot-level fluxes, indicating that other processes beside shoot emissions may contribute to light-dependent methane emissions. Nevertheless, even this higher estimate of shoot methane emissions correspond with the low end of the range reported by Keppler et al. (2006; 0.75–55 nmol g-1 d.w. h-1) and fall within the range reported by Fraser et al. (2015; 0.03–2 nmol g-1 d.w. h-1). Taken together, our results show how combining shoot and ecosystem level measurements can help constraining shoot emissions sufficiently for incorporating these fluxes in regional and global methane budgets. Taken together, our results show how combining shoot and ecosystem level measurements can help constraining shoot emissions sufficiently for incorporating these fluxes in regional and global methane budgets.

References:

Keppler, F., Hamilton, J., Braß, M. et al. Methane emissions from terrestrial plants under aerobic conditions. Nature 439, 187–191 (2006). https://doi.org/10.1038/nature04420

Fraser, W. T., Blei, E., Fry, S. C., et al.. Emission of methane, carbon monoxide, carbon dioxide and short-chain hydrocarbons from vegetation foliage under ultraviolet irradiation. Plant, cell & environment, 38(5), 980–989 (2015). https://doi.org/10.1111/pce.12489

How to cite: Kohl, L., Tenhovirta, S., Koskinen, M., Putkinen, A., Patama, M., Polvinen, T., Marmarella, I., Robson, T. M., Dominguez, M., Adamczyk, B., and Pihlatie, M.: Shoot methane emissions follow pronounced diurnal cycles that allow constraining aerobic methane production at the ecosystem-level, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3922, https://doi.org/10.5194/egusphere-egu22-3922, 2022.

EGU22-4171 | Presentations | BG3.18

Leaves of mature European beech consume nitrous oxide (N2O) from the atmosphere 

Katerina Machacova, Thomas Schindler, Ülo Mander, Kaido Soosaar, and Thorsten E. E. Grams

Besides soils, tree stems are known to emit nitrous oxide (N2O) into the atmosphere. However, it seems, stems of some tree species might also take up this important greenhouse gas from the atmosphere under certain conditions. Even though tree leaves dominate the tree surface area, they are entirely excluded from field N2O flux measurements, and their role in forest N2O exchange is still unknown.

We aimed to investigate the contribution of leaf fluxes to the forest N2O exchange. We determined N2O exchange of stems and leaves of mature European beech (Fagus sylvatica), and adjacent soil in a typical temperate upland mixed forest in Southern Germany, using non-steady-state chamber methods and a system of scaffold towers reaching the top of tree crowns in 35 m. The measurements were accompanied by a parallel determination of stem, leaf and soil CO2 exchange and numerous environmental characteristics (soil N2O and CO2 concentrations and water content in vertical soil profiles, soil and air temperature).

We found out that the beech stems and especially the leaves were net sinks of N2O from the atmosphere (–1.07 ± 3.47 and –249.9 ± 84.3 mg N2O ha−1 ground area h−1, respectively), whereas the soil was a net N2O source into the atmosphere (24.0 ± 10.8 mg N2O ha−1 h−1). The never studied tree leaves were identified as a key player in ecosystem N2O exchange, taking up in fact 10 times more N2O than the soil emits at the same time. Therefore, native Central European and widely spread European beech trees seem to contribute to forest N2O uptake markedly.

For the first time, we revealed tree leaves being substantial N2O sinks. Our results clearly show that the current and ongoing exclusion of tree leaves from forest N2O flux measurements can lead to a severe underestimation of the overall tree and forest N2O exchange and, therefore, global forest greenhouse gas flux inventories.

 

Acknowledgement

This research was supported by the Czech Science Foundation (17-18112Y) and project SustES - Adaptation strategies for sustainable ecosystem services and food security under adverse environmental conditions (CZ.02.1.01/0.0/0.0/16_019/0000797). We thank Jan Hrdlička and Thomas Feuerbach for their technical support.

 

 

How to cite: Machacova, K., Schindler, T., Mander, Ü., Soosaar, K., and Grams, T. E. E.: Leaves of mature European beech consume nitrous oxide (N2O) from the atmosphere, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4171, https://doi.org/10.5194/egusphere-egu22-4171, 2022.

EGU22-6985 | Presentations | BG3.18

Quantification of methane fluxes from water bodies on the floodplain forest ecosystem level 

Natalia Kowalska, Adam Bednarik, and Georg Jocher

Freshwaters (rivers, streams, ponds, reservoirs) are a well-recognized source of methane (CH4) characterised by large spatiotemporal variability. However, the determination of the role of water bodies for net CH4 exchange on forest ecosystem scale is very scarce. Our study aimed to determine the importance of individual emission pathways for total CH4 fluxes from streams and to verify the possible identification and quantification of CH4 fluxes from water bodies on the floodplain forest ecosystem level. In 2020, we measured CH4 fluxes by diffusion and ebullition from a lowland stream flowing through the lowland broadleaf mixed temperate forest at Lanžhot in the Czech Republic (Central Europe). For this purpose, 18 bubble traps were installed at three stream sites and periodically sampled for gas volume and its CH4 content from April to December. Diffusive CH4 fluxes from water were measured at 14 days intervals with a floating chamber connected to a portable GHG analyser. Simultaneously, CH4 exchange was determined on the forest ecosystem scale using the eddy covariance method (EC). We hypothesized initially that due to a relatively small area of water bodies in the EC footprint and a high probability of CH4 consumption by soils, CH4 emissions will be detectable by EC only in case that water bodies will create the potential CH4 emission hotspots in the studied ecosystem. We found that the investigated stream was a significant source of CH4 (mean 260 ± 107 mg CH4 m-2 day-1) with ebullition as a dominant pathway (55 – 85%) of CH4 release throughout the whole monitored time period. Furthermore, first EC results showed that the whole ecosystem is a small but constant CH4 source as we observed an average emission flux of 16 ± 18 mg CH4 m-2 day-1 over the period June to November 2021. In-depth investigations of the potential CH4 sources and sinks within the studied ecosystem should answer the question of how the relative proportion of water surfaces and related CH4 emission corresponds to whole ecosystem CH4 fluxes.

How to cite: Kowalska, N., Bednarik, A., and Jocher, G.: Quantification of methane fluxes from water bodies on the floodplain forest ecosystem level, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6985, https://doi.org/10.5194/egusphere-egu22-6985, 2022.

EGU22-7061 | Presentations | BG3.18

Forest soil and deadwood CH4 fluxes in response to climate change and forest management 

Carl-Fredrik Johannesson, Klaus Steenberg Larsen, and Jenni Nordén

Methane (CH4) is the second largest contributor to global warming and the importance of reducing CH4 emissions was recently highlighted through the Global Methane Pledge launched in 2021. Forest soils can act both as sinks and sources of CH4, largely depending on the hydrological status of the soil, and both direction and magnitude of CH4 fluxes often vary considerably even across small spatial and temporal scales. Thus, projected changes in precipitation patterns can be expected to affect both total CH4 budgets and the spatiotemporal distribution of sinks and sources. Forest management – for example clear cutting and nitrogen (N) fertilization – also affects CH4 cycling in forests with the potential to turn CH4 sinks into CH4 sources, but little is currently known about the mechanisms and to what extent fluxes are affected by forest management.

In the ForBioFunCtioN project, we have set up an extensive climate and management manipulation experiment across five Norwegian spruce dominated bilberry forest sites spanning from a recent clear-cut to mature managed (80 years) and old unmanaged (140 years) stands. Treatments include warming with open-top chambers, simulated increased precipitation and additions of N fertilizer and biochar in a total of 12 different treatment combinations (n = 144). We utilize state-of-the-art technology (LI-7810 Trace Gas Analyzer, LI-COR®) for measurements of soil-atmosphere and deadwood-atmosphere exchange of CO2 and CH4.

Here, we present the experimental setup and soil and deadwood flux measurements of CO2 and CH4 from June to December 2021. Initial results show that soil CH4 fluxes vary considerably both between and within sites yet indicate short-term responses of CH4 fluxes to addition of biochar and N fertilizer in particular.

How to cite: Johannesson, C.-F., Larsen, K. S., and Nordén, J.: Forest soil and deadwood CH4 fluxes in response to climate change and forest management, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7061, https://doi.org/10.5194/egusphere-egu22-7061, 2022.

EGU22-7493 | Presentations | BG3.18

Greenhouse Gas Dynamics in a Drained Peatland Forest: Annual CH4 and N2O Fluxes from Tree Stems and Soil 

Reti Ranniku, Thomas Schindler, Jordi Escuer-Gatius, Ülo Mander, Katerina Machacova, and Kaido Soosaar

Peatland soils are considered the dominating source of methane (CH4) and nitrous oxide (N2O) to the atmosphere. However, there are high spatio-temporal uncertainties regarding the soil greenhouse gas (GHG) fluxes due to complex dynamics between the soil chemical, physical and biological variables. Although GHG fluxes from peatland soils are relatively well studied, tree stem fluxes have received far less attention and are often overlooked in GHG models and assessments. Moreover, simultaneous year-long measurements of soil and tree stem CH4 and N2O fluxes in peatland forests are missing, as previous studies have primarily focused on the growing season. We aim to determine the seasonal dynamics of CH4 and N2O fluxes in drained peatland forests, as drainage can lead to release of the large amounts of carbon and nitrogen stored in peat into the atmosphere as GHGs.

Our research focuses on tree stems and soil GHG fluxes in the Agali Drained Peatland Forest Research Station in Estonia, dominated by Downy Birch (Betula pubescens) and Norway Spruce (Picea abies) trees. During the weekly sampling campaigns (November 2020–December 2021), we used manual static stem chambers to collect gas samples, which were later analysed for CH4 and N2O in the laboratory using Shimadzu GC-2014 gas chromatography. We measured soil CH4 and N2O fluxes using an automated dynamic soil chamber system connected to a Picarro G2508 analyser.

Preliminary results show that on average, birch stem GHG fluxes were greater than spruce stem fluxes. Birch trees were a net annual source of both CH4 (0.38 ± 0.09 µg C m-2 stem area h-1, mean ± SE) and N2O (0.94 ± 0.32 µg N m-2 h-1). Spruce trees were a net source of CH4 (0.08 ± 0.05 µg C m-2 h-1) but a net sink of N2O (–0.08 ± 0.02 µg N m-2 h-1). Temporal dynamics of birch stem CH4 emissions were characterised by significant emission peaks in November and June. During the rest of the year smaller fluxes with fluctuations between emissions and uptake were observed. Spruce stem CH4 fluxes followed a roughly similar pattern as birch fluxes. However, during the birch emission peak in June, spruce stems showed uptake of CH4. Birch stem N2O emissions remained very small for most of the year, with increased emissions in autumn months and March. Spruce stem N2O fluxes remained very low throughout the year.

Soils were a net annual sink of CH4 (–6.44 ± 0.76 µg C m-2 ground area h-1) and source of N2O (41.68 ± 3.15 µg N m-2 h-1). CH4 was taken up by the soil most of the year, however occasional emissions occurred. A substantial increase in CH4 uptake was observed in June, peaking at –49.53 µg C m-2 h-1 at the end of July, and diminishing towards the end of summer. Hot moments – notably higher daily average emissions compared to the period average – characterised the temporal dynamics of soil N2O emissions.

Further results on soil meteorological and biogeochemical properties will help determine the possible drivers of stem and soil fluxes’ dynamics and their origin.

How to cite: Ranniku, R., Schindler, T., Escuer-Gatius, J., Mander, Ü., Machacova, K., and Soosaar, K.: Greenhouse Gas Dynamics in a Drained Peatland Forest: Annual CH4 and N2O Fluxes from Tree Stems and Soil, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7493, https://doi.org/10.5194/egusphere-egu22-7493, 2022.

EGU22-8813 | Presentations | BG3.18 | Highlight

Greenhouse gas exchange in temperate forest ecosystems in the UK - A quest for key components and drivers 

Sylvia Toet, Ruochan Ma, Will Barrop, Ben Keane, James Stockdale, Roxane Andersen, Russell Anderson, Niall McNamara, Georgios Xenakis, Sirwan Yamulki, and James Morison

Forests are often considered to be able to play a significant role in tackling global warming. To fully understand their potential in mitigating climate change and to develop more accurate ecosystem GHG flux budgets and process-based models of forests, we require more knowledge of methane (CH4) and nitrous oxide (N2O) exchange in forests, their underlying processes, environmental controls and responses to forest management. In recent years, it is becoming evident that not only soils but also the trees themselves may significantly contribute to CH4 and N2O fluxes in forest ecosystems.

Our research mainly focussed on greenhouse gas (GHG) exchange in temperate UK forests on both mineral and organic soils. We will primarily concentrate on CH4 fluxes as N2O fluxes were often relatively low in these forests and, by including CO2 fluxes, we will put them into the context of the overall ecosystem GHG exchange. A range of flux methods at different scales were used in our field studies to be able to capture the often high temporal and spatial variability of the GHG exchange between the atmosphere and either soils, tree stems or entire trees aboveground, and to identify potential drivers of the fluxes. The impact of management practices including clear fell, drainage and the resulting micro-topography, and forest-to-bog restoration on CH4 fluxes from organic soils following the first forest rotation will also be described. We regularly used novel automated and chamber approaches and technologies, and the advantages and limitations of the different flux approaches and their use to upscale fluxes to the landscape scale will be evaluated.

How to cite: Toet, S., Ma, R., Barrop, W., Keane, B., Stockdale, J., Andersen, R., Anderson, R., McNamara, N., Xenakis, G., Yamulki, S., and Morison, J.: Greenhouse gas exchange in temperate forest ecosystems in the UK - A quest for key components and drivers, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8813, https://doi.org/10.5194/egusphere-egu22-8813, 2022.

EGU22-11466 | Presentations | BG3.18

Can tree stem and shoot emissions close the gap in the methane budget of a boreal Scots pine forest during the summer months? 

Mari Pihlatie, Lukas Kohl, Elisa Vainio, Anas Emad, Lukas Siebicke, Ivan Mammarella, and Katerina Machacova

The role of boreal upland forests in the global methane cycle remains poorly constrained. While chamber-based measurements clearly show that the soils of upland forest act as methane sinks, micrometeorological measurements indicate that the same forests are methane-neutral at the ecosystem level. We conducted a measurement campaign covering soil, tree stem, tree shoot, and ecosystem-level flux measurements to test whether upscaled methane fluxes from tree stems and shoots can close the observed gap between the soil and ecosystem fluxes.

The campaign was conducted in a Scots pine dominated upland forest in southern Finland at the SMEAR II Hyytiälä research station between July 1 - Aug 15 2017. It included weekly measurement of methane fluxes at 15 soil locations, 47 stem chambers at the three tree species (Pinus sylvestris, Picea abies, Betula sp.), and 6 shoot chambers, as well as micrometeorological measurement of methane fluxes at 23 m height with two methods, eddy covariance (EC) and true eddy accumulation (TEA). Soil and stem methane fluxes were further upscaled based on a topographical statistical model (Vainio et al., 2021).

Our results show a persistent gap between chamber- and micrometeorological flux measurements. While the soil acted as a moderate methane sink (-1.71 nmol m-2 s-1 ,95% confidence interval -2.03 to -1.39), micrometeorological measurements indicated that the forest was near methane neutral (EC: -0.29±0.24 nmol m-2 s-1; TEA: -0.25±0.16 nmol m-2 s-1). Spatial heterogeneity was a significant factor for soil methane uptake, as the median methane location in the tower footprint showed an approximately 0.5 nmol m-2 s-1 greater uptake than the footprint average. Methane exchange from stems (-0.035 to 0.083 nmol m-2 ground area s-1) and shoots (0.025 to 0.075 nmol m-2 ground area s-1) were at least an order of magnitude smaller than the gap between the soil and ecosystem measurements. While these estimates are associated with significant uncertainties primarily stemming from the upscaling model, it is unlikely that the stem and shoot fluxes act as the missing methane source in this ecosystem.

Overall, results indicate that the gap between soil and ecosystem fluxes results either from a systematic error in micrometeorological flux measurements or from too high uncertainties related to measured fluxes very close to the detection limit of the EC/TEA system. It is also possible that an unidentified methane source exists in these forests. We were, for example, not able to conduct shoot flux measurements at moist sites within the flux tower footprint. We further note that our campaign was conducted during the peak summer months when stem and soil fluxes are expected to be relatively small due to low soil moisture. Nevertheless, our data suggests that a difference between trace gas fluxes at the soil and ecosystem level are not necessarily indicative of stem or canopy processes, and that such differences need to be interpreted with great care.

References:

Vainio, E., Peltola, O., Kasurinen, V., Kieloaho, A.-J., Tuittila, E.-S., Pihlatie, M.: Topography-based statistical modelling reveals high spatial variability and seasonal emission patches in forest floor methane flux, Biogeosciences, 18, 2003–2025, https://doi.org/10.5194/bg-18-2003-2021, 2021.

How to cite: Pihlatie, M., Kohl, L., Vainio, E., Emad, A., Siebicke, L., Mammarella, I., and Machacova, K.: Can tree stem and shoot emissions close the gap in the methane budget of a boreal Scots pine forest during the summer months?, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11466, https://doi.org/10.5194/egusphere-egu22-11466, 2022.

EGU22-11588 | Presentations | BG3.18

Effects of drought on the methane emissions of the shoots of young scots pine saplings 

Salla Tenhovirta, Lukas Kohl, Markku Koskinen, and Mari Pihlatie

Plants can emit methane (CH4) produced by an unknown aerobic, non-enzymatic process, driven by plant stressors like UV-radiation, elevated temperatures and wounding. In ambient spring conditions in Finland, CH4 emissions from the shoots of Scots Pine (Pinus sylvestris) correlated with solar radiation independently of temperature (Tenhovirta et al., in revision). The spring-time shoot CH4 emissions also had a diurnal pattern with the highest emissions during noon. It remains unknown whether these emissions are driven directly by solar radiation or indirectly via its effect on tree physiological processed such as photosynthesis or stomatal conductance. Characterizing the ecophysiology of the CH4 fluxes of tree canopies is a crucial step in order to understand the role of forests in the global CH4 cycle.

To test whether shoot CH4 emissions are driven by tree physiological activity (e.g. stomatal conductance), we conducted a measurement campaign in greenhouse conditions during which Scots pine saplings were exposed to drought. During this 3-month-long campaign, CH4, carbon dioxide (CO2) and water vapour (H2O) fluxes from tree shoots were measured with an automated shoot trace gas flux measurements system (ShoTGa-FluMS)(Kohl, Koskinen et al., 2021). This system is capable of replacing the CO2 assimilated by the shoots, removing transpired water and cooling the chambers to near ambient temperatures. The experimental setup consisted of six 2-3 year old nursery saplings each with a shoot enclosed inside an automated shoot chamber, alternating (a) in closed loop with a Picarro G2301 cavity ring-down spectroscopy (CRDS) greenhouse gas concentration analyser (CH4 and CO2 measurements), (b) in a flow-through setup with a Li-cor 850 CO2-H2O analyser (photosynthesis and transpiration measurements), or (c) flushed with ambient air. The saplings were exposed to a daily 9-hour photoperiod of ~ 600-800 µmol s-1 m-2 photosynthetically active radiation (PAR), and irrigated automatically. Drought was induced by stopping the irrigation and continued to the point where net uptake of CO2 no longer occurred.

Our experiment produced a unique dataset of continuous measurements of shoot-level CH4, CO2 and H2O fluxes over a period of several weeks. Our preliminary results show small but consistent CH4 emissions from the shoots of Scots Pine during daylight, supporting our earlier findings of the dependency of shoot CH4 emissions on light. The data furthermore allows to analyse the effects of drought on tree physiological activity and shoot CH4 fluxes providing much needed process understanding of shoot CH4 emissions from boreal trees.

References

Kohl, Koskinen et al. 2021. An automated system for trace gas flux measurements from plant foliage and other plant compartments. Atmospheric Measurement Techniques 14: 4445–4460.

How to cite: Tenhovirta, S., Kohl, L., Koskinen, M., and Pihlatie, M.: Effects of drought on the methane emissions of the shoots of young scots pine saplings, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11588, https://doi.org/10.5194/egusphere-egu22-11588, 2022.

EGU22-12003 | Presentations | BG3.18

Temporal and spatial effects of elevated CO2 on greenhouse gas fluxes from tree stems in an upland temperate forest 

Josep Barba, Giulio Curioni, and Vincent Gauci

Tree stems emit CO2 and can exchange CH4 with the atmosphere (either emitting or uptaking), with a significant contribution to the C budgets from local to regional scales. However, there is still a need to better understand the spatial and temporal variability of stem CO2 and CH4 fluxes to quantify the role of vegetation on the C cycle and how these fluxes will behave under future environmental conditions such as atmospheric elevated CO2. An increment of atmospheric CO2 concentrations might result in higher photosynthetic rates, which would spin the C cycle in the trees, potentially increasing stem CO2 emissions due to higher stem respiration and higher soil-derived CO2 contribution. Higher photosynthetic rates might also stimulate fine roots exudation, which could stimulate methanotrophic or methanogenic communities. Additionally, elevated CO2 would increase water use efficiency at the leaf level, reducing the amount of water transpired, and potentially increasing soil moisture, which would favour conditions for CH4 production. In this study, we present one year of monthly measurements of stem CO2 and CH4 fluxes from mature oaks (Quercus robur) growing under elevated CO2 (~150 ppm above atmospheric concentrations) and ambient conditions, in a second-generation FACE experiment (Free Air CO2 Enrichment; BIFoR-FACE UK). Trees growing under ambient conditions emitted 76% more CO2 than those under elevated atmospheric CO2, which was not what we hypothesized. Despite stem CH4 fluxes have been reported in multiple upland ecosystems for lots of tree species, our preliminary results did not show clear evidence of CH4 stem fluxes (emissions or uptake) for the oaks at our study site. Similar measurements in other FACE experiments are needed to determine if our results on the effect of elevated CO2 on stem CO2 and CH4 fluxes could be extrapolated to other ecosystems and species. 

How to cite: Barba, J., Curioni, G., and Gauci, V.: Temporal and spatial effects of elevated CO2 on greenhouse gas fluxes from tree stems in an upland temperate forest, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12003, https://doi.org/10.5194/egusphere-egu22-12003, 2022.

EGU22-12685 | Presentations | BG3.18

Regional variability in Amazon methane emissions based on lower-troposphere observations 

Luana Basso, Luciana Gatti, Luciano Marani, John Miller, Manuel Gloor, John Melack, Henrique Cassol, Graciela Tejada, Lucas Domingues, Egidio Arai, Alber Sanchez, Sergio Corrêa, Liana Anderson, Luiz Aragão, Caio Correia, Stephanie Crispim, and Raiane Neves

After a period where atmospheric methane (CH4) levels were nearly steady, its levels have been rapidly raising since 2007, but the main reasons remains uncertain. Increases in wetlands emissions could be one possible reason, mainly at tropical regions like Amazonia, which host some of the largest wetlands/seasonally flooded areas on the globe. Based on 590 lower troposphere vertical profiles of CH4 and carbon monoxide (CO) observations over four sites at Amazon (at the northeast, southeast, northwest-central and southwest-central regions) we estimated that Amazon region contributes with 8% of global CH4 emissions, and wetlands are the mainly CH4 source to the atmosphere (Basso et al., 2021). Vertical profiles are sampled using light aircraft, high-precision greenhouse gas and CO analysis of flask air, fortnightly between 2010 and 2018. We observed an unexpected east-west gradient in CH4 emissions, with higher emissions in northeast Amazon region. The higher emissions are mainly from wetlands and are not explained by biomass burning and anthropogenic emissions (like enteric fermentation), but its causes remains unclear. In the other three sites located further downwind along the main air-stream the CH4 emissions represents approximately 24-36% of what is observed in the northeast region. Our wetlands emission estimates of each region were compared to analogous fluxes from the WetCharts wetland model ensemble (Bloom et al., 2017). The estimates were similar except for the northeast region, where WetCharts does show substantial emissions, but still just 40% of our estimates based on the lower troposphere observations (Basso et al., 2021).

How to cite: Basso, L., Gatti, L., Marani, L., Miller, J., Gloor, M., Melack, J., Cassol, H., Tejada, G., Domingues, L., Arai, E., Sanchez, A., Corrêa, S., Anderson, L., Aragão, L., Correia, C., Crispim, S., and Neves, R.: Regional variability in Amazon methane emissions based on lower-troposphere observations, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12685, https://doi.org/10.5194/egusphere-egu22-12685, 2022.

EGU22-13360 | Presentations | BG3.18

Methane source-sink behaviour in upland trees spanning a global climate gradient 

Vincent Gauci, Sunitha Pangala, Alexander Shenkin, Josep Barba, David Bastviken, Viviane Figueiredo, Carla Gomez, Alex Enrich-Prast, Emma Sayer, Tainá Stauffer, Bertie Welch, Myles Allen, and Yadvinder Malhi

Forests play an important role in the exchange of radiatively important gases with the atmosphere. Previous studies have shown that in both temperate and tropical wetland forests tree stems are significant sources of methane, yet little is known about tree stem trace greenhouse gas dynamics in drier, free-draining soils that dominate global forested areas. Here, we examine methane fluxes on tree stems spanning a climate gradient of upland forests and floodplain forest across 4 locations in the Amazon, Brazil (Cunia, Rios Negro, Solimoes and Tapajos), lowland tropical forest on free-draining soils in Panama, Central America (Barro Colorado Nature Monument), deciduous woodland in the United Kingdom (Wytham, Oxfordshire) and boreal forest in Sweden. We found that trees behaved as both methane sources (near the tree base) and sinks (higher up the tree stem) across tropical, temperate and boreal sites and are highly variable, yet we were able to identify a broad correlation between the size of tree stem methane uptake fluxes and mean annual temperature across the climate gradient. The vertical spatial patterns of flux up the individual measured trees and climate gradient temperature-methane flux relationship together with revised LiDAR derived tree surface allometry permitted global scaling of fluxes in upland forest. Results of this scaling together with the implications of this refined understanding of the global methane cycle under various scenarios are discussed.

How to cite: Gauci, V., Pangala, S., Shenkin, A., Barba, J., Bastviken, D., Figueiredo, V., Gomez, C., Enrich-Prast, A., Sayer, E., Stauffer, T., Welch, B., Allen, M., and Malhi, Y.: Methane source-sink behaviour in upland trees spanning a global climate gradient, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13360, https://doi.org/10.5194/egusphere-egu22-13360, 2022.

EGU22-712 | Presentations | HS8.3.5

Biogels in the rhizosphere: Plant mucilage as a biofilm matrix that shapes the rhizosphere microbial habitat 

Meisam Nazari, Samuel Bickel, Pascal Benard, Kyle Mason-Jones, Andrea Carminati, and Michaela Anna Dippold

Mucilage is a gelatinous high-molecular-weight substance produced by almost all plants, serving numerous functions for plants and soil. To date, research has mainly focused on the hydraulic and physical functions of mucilage in the rhizosphere. Studies on the relevance of mucilage as a microbial habitat are scarce. Microbial research has largely focused on extracellular polymeric substances (EPS), gelatinous high-molecular-weight substances produced by microorganisms. In soil, EPS support the establishment of microbial assemblages by providing a moist environment, a protective barrier, and serving as carbon and nutrient sources. Our analyses show that mucilage shares the physical and chemical properties of EPS. Mucilage covers large extents of the rhizosphere and could function similarly to the biofilm matrix. Our laboratory and theoretical analyses largely confirmed similar viscosity and surface tension as important physical properties and polysaccharide, protein, neutral monosaccharide, and uronic acid composition as major chemical properties. Our study suggests that mucilage provides functions of EPS required for biofilm formation. Mucilage offers a protected habitat optimized for nutrient mobilization and provides carbon and nutrients. We suggest that the function of mucilage as a biofilm matrix and enabler of high rhizo-microbial abundance and activity has been strongly underestimated, and should be considered as an essential component of conceptual models of the rhizosphere. 

How to cite: Nazari, M., Bickel, S., Benard, P., Mason-Jones, K., Carminati, A., and Dippold, M. A.: Biogels in the rhizosphere: Plant mucilage as a biofilm matrix that shapes the rhizosphere microbial habitat, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-712, https://doi.org/10.5194/egusphere-egu22-712, 2022.

EGU22-1596 | Presentations | HS8.3.5

No effect of long-term soil warming on diffusive soil inorganic and organic nitrogen fluxes in a temperate forest soil 

Erich Inselsbacher, Jakob Heinzle, Ye Tian, Steve Kwatcho-Kengdo, Chupei Shi, Werner Borken, Wolfgang Wanek, and Andreas Schindlbacher

The capacity of forest plants to sequester C is closely linked to soil nitrogen (N) availability, a major control of plant growth and ecosystem functioning. An increase of soil temperature caused by climate change affects C and N cycling in forest soils, but implications for plant available N have remained largely unclear. In recent short-term laboratory incubation studies, an increase in soil temperature has not only led to a significant increase in diffusive N fluxes, but also to a concomitant shift in bioavailable N quality for plant and microbial uptake, i.e. towards a higher proportion of inorganic N forms compared to small organic N forms such as amino acids. However, long-term effects of soil warming on diffusive soil N fluxes in situ remain largely unknown. Applying the microdialysis technique, we quantified in situ diffusive fluxes of amino acids, ammonium and nitrate at the long-term soil warming experimental site Achenkirch (Tyrol, Austria). This site is one of the few climate manipulation experiments operational for more than 15 years and has already provided a wealth of novel insights into the potential effects of global warming on forest ecosystem responses. Results from four sampling campaigns (n = 1152 microdialysis samples) during the growing season showed no effect of warming on diffusive N fluxes. Diffusive ammonium fluxes increased from spring towards autumn while nitrate fluxes followed an opposite trend. Compared to other temperate and boreal forest soils, the proportion of amino acids in the total diffusive N flux in this carbonate soil was low (13 - 30%), while the proportions of ammonium (21 – 67%) and nitrate were high (19 – 58%). In conclusion, our results suggest that in situ diffusive N fluxes, as well as the proportions of different N forms, were unaffected after 15 years of soil warming.  Accordingly, warming may not be expected to increase diffusive soil N supply for root uptake in the topsoil in the long run. Diffusive N availability was mainly determined by seasonal effects and by the small-scale heterogeneity of the soil matrix.

How to cite: Inselsbacher, E., Heinzle, J., Tian, Y., Kwatcho-Kengdo, S., Shi, C., Borken, W., Wanek, W., and Schindlbacher, A.: No effect of long-term soil warming on diffusive soil inorganic and organic nitrogen fluxes in a temperate forest soil, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1596, https://doi.org/10.5194/egusphere-egu22-1596, 2022.

EGU22-1748 | Presentations | HS8.3.5

Effect of adaptive rootzone development in quantitative land evaluation studies 

Martin Mulder, Marius Heinen, and Mirjam Hack - ten Broeke

For quantitative land evaluation studies often simulation models are used to express the differences between soil types in terms of water availability or crop productivity. In the Netherlands we developed a land evaluation system specifically for water authorities, provinces and drinking water companies. The system allows answering questions on how water management influences crop development due to too dry or too wet conditions in the unsaturated zone. This system is based on the linked simulation model SWAP (Soil-Water-Atmosphere-Plant) and WOFOST (WOrld FOod STudies). The impact of changes in climate or hydrology can then be studied in terms of effects on crop growth and farm income.

Although SWAP and WOFOST are process based models, the rootzone development is simulated in a straightforward way: the development of the root extension is specified by the user in advance and the root length density distribution is assumed static in time. Because the circumstances within the rootzone is influenced by meteorological, hydrological and soil characteristics it is impossible to design an optimal rootzone development in advance. For a more realistic approach we implemented an adaptive rootzone distribution which will react on the hydrological conditions within the rootzone. This means that newly formed roots will be assigned to regions where there is no or the least stress, and less or no new roots to regions where water stress was experienced. As a result the drought and oxygen stress will be less dependent on the initial root distribution as specified by the user. An example for a regional study will be provided to show the relevance of adaptive rootzone development for assessing land qualities in space and time. 

How to cite: Mulder, M., Heinen, M., and Hack - ten Broeke, M.: Effect of adaptive rootzone development in quantitative land evaluation studies, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1748, https://doi.org/10.5194/egusphere-egu22-1748, 2022.

Soil pollution from neutral and ionizable compounds poses a significant threat to water resources management and food production. The development of numerical models to describe their reactive transport in the soil-plant domain is of paramount importance to elaborate mitigation strategies. However, most existing models simplify the description of physicochemical processes in soil and plants, mass transfer processes between soil and plants and in plants, and transformation in plants. To fill this scientific gap, we first coupled the widely used hydrological model, HYDRUS, with a multi-compartment dynamic plant uptake model, which accounts for differentiated multiple metabolization pathways in plant’s tissues. The model, which is able to simulate the reactive transport of neutral compounds, has been successfully validated against experimental data, and integrated in the Graphical User Interface of the HYDRUS software suite. To further extend its domain of applicability, we have recently adapted its theoretical framework to simulate the translocation of ionizable compounds. The new modeling framework connects a biophysical multi-organelles model to describe processes at the cell level with a semi-mechanistic soil-plant model, and accounts for dissociation processes and electrical interactions with cell biomembranes. Validation against experimental data showed encouraging results and opens new perspectives for its use for predictive and explanatory purposes.

 

References

Šimůnek, J., G. Brunetti, and R. Kodešová, Modeling the translocation and transformation of chemicals in the soil-plant continuum: A dynamic plant uptake module for the HYDRUS model, AGU Annual Meeting, ID 810092, New Orleans, Louisiana, December 13-17, 2021.

How to cite: Brunetti, G., Šimůnek, J., and Kodešová, R.: Modeling the translocation and transformation of chemicals in the soil-plant continuum: a dynamic plant uptake module for the HYDRUS model, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1962, https://doi.org/10.5194/egusphere-egu22-1962, 2022.

EGU22-3466 | Presentations | HS8.3.5

Coupled modelling of hydrological processes and grassland production in two contrasting climates 

Nicholas Jarvis, Jannis Groh, Katharina Meurer, Elisabet Lewan, Thomas Puetz, Walter Durka, Cornelia Baessler, and Harry Vereecken

Projections of global climate models suggest that ongoing human-induced climate change will lead to an increase in the frequency of severe droughts in many important agricultural regions of the world. Eco-hydrological models that integrate current understanding of the interacting processes governing soil water balance and plant growth may be useful tools to predict the impacts of climate change on crop production. However, the validation status of these models for making predictions under climate change is still unclear, since few suitable datasets are available for model testing. One promising approach is to test models using data obtained in “space-for-time” substitution experiments, in which samples are transferred among locations with contrasting current climates in order to mimic future climatic conditions. An important advantage of this approach is that the soil type is the same, so that differences in soil properties are not confounded with the influence of climate on water balance and crop growth. In this study, we evaluate the capability of a relatively simple eco-hydrological model to reproduce 6 years (2013-2018) of measurements of soil water contents, water balance components and grass production made in weighing lysimeters located at two sites within the TERENO-SoilCan network in Germany. Three lysimeters are located at an upland site at Rollesbroich with a cool, wet climate, while three others had been moved from Rollesbroich to a warmer and drier climate on the lower Rhine valley floodplain at Selhausen. Four of the most sensitive parameters in the model were treated as uncertain within the framework of the GLUE (Generalized Likelihood Uncertainty Estimation) methodology, while the remaining parameters in the model were set according to site measurements or data in the literature.

The model accurately reproduced the measurements at both sites, and some significant differences in the posterior ranges of the four uncertain parameters were found. In particular, the results indicated greater stomatal conductance as well an increase in dry matter allocation below-ground and a significantly larger maximum root depth for the three lysimeters that had been moved to Selhausen. As a consequence, the apparent water use efficiency (above-ground harvest divided by evapotranspiration) was significantly smaller at Selhausen than Rollesbroich. Data on species abundance on the lysimeters provide one possible explanation for the differences in the plant traits at the two sites derived from model calibration. These observations showed that the plant community at Selhausen had changed significantly in response to the drier climate, with a significant decrease in the abundance of herbs and an increase in the proportion of grass species. The differences in root depth and leaf conductance may also be a consequence of plasticity or acclimation at the species level. Regardless of the reason, we may conclude that such adaptations introduce significant additional uncertainties into model predictions of water balance and plant growth in response to climate change.

How to cite: Jarvis, N., Groh, J., Meurer, K., Lewan, E., Puetz, T., Durka, W., Baessler, C., and Vereecken, H.: Coupled modelling of hydrological processes and grassland production in two contrasting climates, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3466, https://doi.org/10.5194/egusphere-egu22-3466, 2022.

The knowledge of crop evapotranspiration is crucial for several hydrological processes, including those related to the management of agricultural water sources. Among indirect methods to estimate actual evapotranspiration, ETa, the measurements of latent heat fluxes acquired with Eddy Covariance (EC) tower have been largely used. However, the malfunctioning of the commonly installed sensors can cause the loss of data, compromising the temporal continuity of the acquisitions. Machine learning (ML) algorithms can represent a powerful tool to perform gap-filling procedures and provide accurate predictions of missing data.

The objective of the research was to assess different ML algorithms to fill daily actual evapotranspiration measurements acquired in a Mediterranean citrus orchard, by using a combination of in-situ or ERA5-Land reanalysis agro-meteorological data and two vegetation indices (VIs) retrieved by the Sentinel 2 platform.

The experimental layout consisted of a standard weather station, an EC tower containing an open-patch gas-analyzer, a three-dimension sonic anemometer, a four-component net radiometer. Four “drill and drop” probes (Sentek Pty Ltd, Stepney, Australia) were also installed in the field. Six different algorithms of machine learning were tested, using in input, as climate variables the global solar radiation, mean air temperature and relative air humidity, as well as two VIs (NDVI e NDWI) characterized by a spatial resolution of 10 m and, finally, the average soil water content measured in the root zone (0-50 cm). The number of daily ETa measurements, acquired from March 2019 to September 2021, resulted in about 70% of the total days of the period; the missing data were caused by the malfunctioning of installed instruments, which occurred during the lockdown restrictions caused by the pandemic.

Among the different ML algorithms, the best performance was associated with the Gaussian Process Regression (GPR) based on nonparametric kernel probabilistic function (Rasmussen, 2006) when, with the other input variables, the average soil water content was included; in this case, the values of root mean square error (RMSE) and determination coefficient (R2) associated with the cross-validation resulted equal to 0.42 mm/d and 0.85, respectively. However, suitable results were also associated with the GPR model, when assuming, as input variables, on-site meteorological data and VIs (RMSE=0.49 mm/d and R2=0.78), or when considering the ERA5-Land meteorological variables (RMSE=0.56 mm/d and R2=0.73). The joint use of agro-meteorological and remote sensing data, associated with a GPR model, can therefore provide the opportunity to fill the gaps of ETa time-series.

How to cite: Ippolito, M., De Caro, D., and Provenzano, G.: Assessing Machine Learning algorithms to fill gaps of daily evapotranspiration measured in a citrus orchard using a combination of agro-meteorological and remote sensing data, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3533, https://doi.org/10.5194/egusphere-egu22-3533, 2022.

EGU22-3890 | Presentations | HS8.3.5

Responsiveness of maize to soil drying is related to a decrease in belowground hydraulic conductivity 

Tina Köhler, Shu-Yin Tung, Franziska Steiner, Nicolas Tyborski, Andreas Wild, Asegidew Akale, Johanna Pausch, Tillmann Lüders, Sebastian Wolfrum, Carsten Müller, Alix Vidal, Wouter Vahl, Jennifer Groth, Barbara Eder, Mutez Ahmed, and Andrea Carminati

Limited water supply is one of the largest impediments to food production worldwide in the light of climate change and increasing food demand. Stomatal regulation allows plants to promptly react to water stress and regulate water use. Although the coordination between stomatal closure and aboveground hydraulics has extensively been studied, our understanding of the impact of belowground hydraulics on stomatal regulation remains, as yet, incomplete. The overall objective of this study was to investigate the impact of belowground hydraulic conductivity as affected by differences in expressions of root and rhizosphere traits on the water use regulation of different maize genotypes.

We have utilized a novel phenotyping facility to investigate the response of a selection of 48 maize (Zea mays L.) genotypes exhibiting different root and rhizosphere traits to soil drying. We measured the relation between leaf water potential, soil water potential, soil water content and transpiration rate, as well as root and rhizosphere traits (e.g. root length, rhizosheath mass) between genotypes. Our hypothesis is that stomatal response to soil drying is related to a loss in soil hydraulic conductivity and that key root and rhizosphere hydraulic traits affect such relation.

We found that the genotypes differed in their responsiveness to drought and that such differences were related to belowground hydraulic traits. The critical soil water content at which plants started to decrease transpiration was related to a combination of plant- and rhizosphere traits (namely plant hydraulic conductance, maximum transpiration rate, root length and rhizosheath mass). Genotypes with a higher maximum transpiration rate and a higher plant hydraulic conductance and a smaller root system closed stomata in wetter soil conditions, meaning earlier in the drying process. This finding is explained by a soil-plant hydraulic model that assumes that stomata start to close when the soil hydraulic conductance of the soil-plant continuum starts to decline. Those findings stress the importance of belowground hydraulic properties on stomatal regulation and thereby drought responsiveness.

How to cite: Köhler, T., Tung, S.-Y., Steiner, F., Tyborski, N., Wild, A., Akale, A., Pausch, J., Lüders, T., Wolfrum, S., Müller, C., Vidal, A., Vahl, W., Groth, J., Eder, B., Ahmed, M., and Carminati, A.: Responsiveness of maize to soil drying is related to a decrease in belowground hydraulic conductivity, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3890, https://doi.org/10.5194/egusphere-egu22-3890, 2022.

EGU22-4020 | Presentations | HS8.3.5

High-throughput phenotyping of 38 maize varieties for the study of rhizosphere traits affecting agronomic resilience under drought stress 

Shu-Yin Tung, Tina Köhler, Andreas J. Wild, Franziska Steiner, Nicolas Tyborski, Johanna Pausch, Tillmann Lüders, Carsten W. Müller, Alix Vidal, Andrea Carminati, Wouter Vahl, Jennifer Groth, Barbara Eder, and Sebastian Wolfrum

The occurrence of drought is likely to increase and intensify as a result of climate change, which poses a great challenge to agriculture. It is thus crucial to enhance agronomic resilience to secure food and feed production. Roots and root functioning as well as the interplay of roots with the surrounding soil, the rhizosphere, plays a key role in water acquisition of plants. Investigating rhizosphere traits is hence promising to shed light on future crops that better adapt to drought stress. A great strength of this study is the screening of various varieties which is facilitated by the high-throughput phenotyping method. It allows a wider coverage of traits and especially the genetic and phenetic diversities preserved in landraces.

Maize (Zea mays L.), being one of the major cereal crops worldwide, was selected as the plant of study. A total of 38 varieties, which encompasses hybrid varieties, open pollinated varieties, and landraces, were screened in the “Moving Fields”, a greenhouse equipped with the high-throughput phenotyping facility in the Bavarian State Research Center for Agriculture. Maize plants were grown in mesocosms filled with loamy soil. Plants were exposed to two water treatments, well-watered and drought-stressed, during vegetative stem extension stage. Dynamic plant development was captured by continuous image acquisition. A visible light (RGB) camera was used to document the size and architecture of shoots and roots, while a chlorophyll fluorescence camera recorded the metabolic activity of shoots.

Using shoot images, we compared variety-specific plant growth curves under well-watered and drought-stressed conditions to highlight the growth strategy of plants towards drought stress. The results reveal differences in growth inhibition during drought across varieties. In addition, differences in shoot and root dry weights are found between landraces and modern varieties. More analyses are in progress in search of rhizosphere traits and their influences on agronomic resilience.

How to cite: Tung, S.-Y., Köhler, T., Wild, A. J., Steiner, F., Tyborski, N., Pausch, J., Lüders, T., Müller, C. W., Vidal, A., Carminati, A., Vahl, W., Groth, J., Eder, B., and Wolfrum, S.: High-throughput phenotyping of 38 maize varieties for the study of rhizosphere traits affecting agronomic resilience under drought stress, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4020, https://doi.org/10.5194/egusphere-egu22-4020, 2022.

EGU22-4367 | Presentations | HS8.3.5

Stomatal closure under drought is controlled by below-ground hydraulics 

Mohanned Abdalla, Mutez Ahmed, Gaochao Cai, Fabian Wankmüller, Nimrod Schwartz, Or Litig, Mathieu Javaux, and Andrea Carminati

Stomatal closure allows plants to promptly respond to water shortage. Although the coordination between stomatal regulation, leaf and xylem hydraulics has been extensively investigated, the impact of below-ground hydraulics on stomatal regulation remains unknown.

We used a novel root pressure chamber to measure, during soil drying, the relation between transpiration rate (E) and leaf xylem water pressure (ψleaf-x) in tomato shoots grafted onto two contrasting rootstocks, a long and a short one. In parallel, we also measured the E(ψleaf-x) relation without pressurization. A soil–plant hydraulic model was used to reproduce the measurements. We hypothesize that (1) stomata close when the E(ψleaf-x) relation becomes non-linear and (2) non-linearity occurs at higher soil water contents and lower transpiration rates in short-rooted plants.

The E(ψleaf-x) relation was linear in wet conditions and became non-linear as the soil dried. Changing below-ground traits (i.e. root system) significantly affected the E(ψleaf-x) relation during soil drying. Plants with shorter root systems required larger gradients in soil water pressure to sustain the same transpiration rate and exhibited an earlier non-linearity and stomatal closure.

We conclude that, during soil drying, stomatal regulation is controlled by below-ground hydraulics in a predictable way. The model suggests that the loss of hydraulic conductivity occurred in soil. These results prove that stomatal regulation is intimately tied to root and soil hydraulic conductances.

How to cite: Abdalla, M., Ahmed, M., Cai, G., Wankmüller, F., Schwartz, N., Litig, O., Javaux, M., and Carminati, A.: Stomatal closure under drought is controlled by below-ground hydraulics, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4367, https://doi.org/10.5194/egusphere-egu22-4367, 2022.

EGU22-5105 | Presentations | HS8.3.5

Rapeseed reaches 4 meters depth – but does it escape drought stress? 

Camilla Rasmussen, Eva Rosenqvist, Fulai Liu, Dorte Bodin Dresbøll, Kristian Thorup-Kristensen, and Mathieu Javaux

Deep-rooted crops, such as rapeseed have access to deep stored soil moisture unavailable to more shallow-rooted crops. However, it appears that the presence of deep roots in moist soil does not necessarily ensure full water supply and prevent drought stress during progressive soil drying. Thus, there is a need to quantify the contribution of deep roots to water uptake and investigate the role of deep roots in delaying drought stress.

In large parts of Europe, climate change will lead to lower precipitation in the growing season and higher outside the growing season. This imbalance can be levelled out by growing summer crops on winter precipitation. However, it requires crops that a capable of utilizing previous surplus precipitation stored deep in the soil profile.

We grew rapeseed in a large-scale semi-field setup, allowing root growth down to 4 meters depth. We monitored the development in root growth, water uptake, stomatal conductance, leaf ABA, photosynthesis, and soil water content during progressive soil drying. This allowed us to investigate the ability of rapeseed to compensate for a lack of water in the upper root zone with water uptake in the deeper root zone and to identify the onset of stress responses.

How to cite: Rasmussen, C., Rosenqvist, E., Liu, F., Dresbøll, D. B., Thorup-Kristensen, K., and Javaux, M.: Rapeseed reaches 4 meters depth – but does it escape drought stress?, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5105, https://doi.org/10.5194/egusphere-egu22-5105, 2022.

EGU22-5306 | Presentations | HS8.3.5

Dynamics and reversibility of global hydropatterning in a split-root experiment 

Samuele Ceolin, Stanislaus Schymanski, Dagmar van Dusschoten, Robert Koller, Daniel Pflugfelder, and Julian Klaus

Plant water uptake is often a limiting factor for above-ground productivity and therefore models of soil-vegetation-atmosphere transfer strongly rely on a precise characterization of the spatial organization of root systems. However, roots display plasticity in morphology and physiology under environmental fluctuations. Plants, in fact, can adjust their root length distribution to soil moisture. The phenomenon of hydropatterning consists of preferential lateral root development in water-rich soil areas and suppression of lateral root growth in dry soil areas. The preferential root growth in wet soil areas was previously observed in large portions of root systems exposed to wet soil patches, including diverse types of roots and both pre-existing and newly grown roots. Here we refer to this phenomenon as “global hydropatterning”. However, the capacity of the root systems to adapt to fluctuating soil water availability at daily time scales, for example after a rainfall event, are less clear.

We conducted an experiment with the aim to answer the following research questions: (a) can we detect global hydropatterning in response to a water pulse in a hydraulically isolated soil layer, (b) how fast does global hydropatterning occur and (c) does the phenomenon get interrupted in the previously wetted layer and promoted in another layer when a second pulse is applied there?

We grew maize in 45 cm long cylindrical soil columns organized in four hydraulically isolated soil layers separated by vaseline barriers. After six days of water depletion by the plant, water pulses to reach 15% VWC were injected specifically into selected layers while the remaining layers remained unwatered.

For quantifying dynamic responses of the root systems to the water pulses, we measured root distribution repeatedly and non-destructively every 48 hours using a Magnetic Resonance Imaging (MRI) for four weeks. Vertical soil moisture distribution was quantified using the Soil Water Profiler (SWaP) [1].

A preliminary analysis indicates that roots grew preferentially in layers where water pulses had been applied and that allocation to root growth changed dynamically in response to water pulses. Our non-invasive measurements suggest that the global hydropatterning appears in less than 48 hours, and that plants adjust root growth to highly dynamic soil moisture conditions.

A more detailed analysis of root growth rates in response to water pulses in different soil layers will be presented and will provide insights into the response time of maize root systems to changing soil moisture conditions and in how far allocation of carbon to different portions of the root system is an absolute response to soil moisture or a relative response to soil moisture distribution.

 

[1] van Dusschoten, D., Kochs, J., Kuppe, C., Sydoruk, V.A., Couvreur, V., Pflugfelder, D., Postma, J.A., 2020. Spatially resolved root water uptake determination using a precise soil water sensor. Plant Physiol. https://doi.org/10.1104/pp.20.00488

How to cite: Ceolin, S., Schymanski, S., van Dusschoten, D., Koller, R., Pflugfelder, D., and Klaus, J.: Dynamics and reversibility of global hydropatterning in a split-root experiment, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5306, https://doi.org/10.5194/egusphere-egu22-5306, 2022.

EGU22-7304 | Presentations | HS8.3.5

A new root water uptake sink term including root-rhizosphere hydraulic architecture 

Daniel Leitner, Andrea Schnepf, and Jan Vanderborght

Water and nutrient uptake are essential for plant productivity. Therefore, the development of precise functional-structural root models will enable better agricultural management in particular in resource limited environments. In such models water movement is of special importance since the rhizosphere's biochemical reactions are strongly  influenced by water content and water movement. We present a general sink term for larger scale root water uptake models that includes the root-rhizosphere hydraulic architecture.

We derive the new aggregated sink term from a more complex model that describes the rhizosphere around each root segment in dependence of a hydraulic root system model. We use CPlantBox (Schnepf et al. 2018) to represent root architecture, and calculate water movement within the root system using the hybrid analytical solution of Meunier et al. (2017). Around each root segment we represent water movement within the rhizosphere by a 1D axisymmetric model. Such models are flexible in the way the rhizosphere is represented (Mai et al. 2019). They are able to accurately describe water depletion and redistribution, but are computationally expensive. 

To simplify the model we use the analytical solution of the steady rate approximation following (Schröder et al. 2008) for water movement in the 1D axisymmetric models. The analytic solution depends on the matric potentials of the macroscopic soil (which is calculated in 1D, 2D or 3D) and the hydraulic root architecture model, root radial conductivity, and radius of the rhizosphere domain. We use fixed-point iteration to determine the matric potential at the soil root interface and store the solutions in a look up table for speedup.  

Moving to larger scales it is generally not useful to keep track of all root system architectures. Therefore, we aim for a coarser approximation of the root architecture by representing it as detached parallel root segments. Parallel segment conductivities are based on standard uptake fraction (SUF) and root system conductivity (Krs) of the original topology (Couvreur et al. 2012), which was shown by Vanderborght et al. (2021) to be a close approximation of the uptake by the original root topology. This approach makes the computation of the full root hydraulic architecture model superfluous, leading to a stable and performant sink term. 

This new sink term increases the accuracy of water uptake in a suite of larger scale models including crop modes, earth system models, and hydrological models. Using the presented approach, the sink term can be derived directly from 3D root hydraulic architecture. This avoids parameterizations based on proxy information about root system hydraulics and can acknowledge age dependent axial and radial root segment hydraulic conductances. Finally, information about rhizosphere hydraulic properties, which may differ from bulk soil hydraulic properties can be injected effectively in this sink term model.  

 

References

Schnepf, A., et al. (2018) Annals of botany, 121(5) 1033-1053.

Meunier, F. et al. Applied Mathematical Modelling, 52, 648-663.

Mai, TH., et al. Plant and Soil, 439(1), 273-292.

Schröder, et al. (2008) Vadose Zone Journal 7(3), 1089-1098.

Couvreur, V.,  et al. (2012) Hydrology and Earth System Sciences, 16(8), 2957-2971.

Vanderborght, J.,  et al. (2021) Hydrology and Earth System Sciences, 25(9), 4835-4860.

How to cite: Leitner, D., Schnepf, A., and Vanderborght, J.: A new root water uptake sink term including root-rhizosphere hydraulic architecture, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7304, https://doi.org/10.5194/egusphere-egu22-7304, 2022.

EGU22-7349 | Presentations | HS8.3.5

Estimation of Non-Linear Water Uptake Parameter using Genetic Algorithm for Sodic Soils 

Gaurav Goet, Ickkshaanshu Sonkar, and Kotnoor Hari Prasad

In the plant water soil system, water plays a vital part in controlling the plant's growth. The plant fulfils its water demand from the soil water through root uptake. The pattern of water uptake by the plant through roots depends on the root geometry and the root density, which varies non-linearly with the depth. To quantify this non-linearity, it is essential to precisely determine the parameter accounting for this non-linearity in the water uptake. Moreover, it has also been observed in the literature that sodicity alters the root growth and thence the density. The current study is about identifying non-linear root water uptake parameter utilizing the Genetic Algorithm (GA) technique in Sodic soils. Different models have been proposed to predict root water uptake by the plants. The non-Linear nature of root water uptake has been confirmed from previous studies and observations. The non-linear root water uptake model named as O-R (Ojha and Rai, 1996) model combined with soil moisture flow or Richard's equation is developed to determine the pattern of root water uptake by the plants. Non-linear parameter β is incorporated in the O-R model to account for non-linearity in the uptake. In the current study, parameter β is determined through inverse modelling utilizing GA optimization procedure. For parameter optimization, the difference between model-predicted and experimentally observed percentage soil moisture depletion is minimized for soils of different salinity classes. To check the viability of the developed model, the optimization procedure is validated from hypothetically generated percentage soil moisture depletion corresponding to an assumed β value and salt concentration in the soil. This study considers the wheat crop (Triticum) to apply this model and estimate the non-linear root water uptake parameter β. The results obtained show that the linked simulation-optimization model based on GA procedure precisely determines the non-linear root water uptake parameter for the Wheat crop considered. Since Different crops follow different non-linear water uptake patterns and hence, have different values of β. Thus, an accurate estimation of β is necessary to analyze the root water uptake and plan the irrigation scheduling strategies for modern agriculture.

How to cite: Goet, G., Sonkar, I., and Hari Prasad, K.: Estimation of Non-Linear Water Uptake Parameter using Genetic Algorithm for Sodic Soils, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7349, https://doi.org/10.5194/egusphere-egu22-7349, 2022.

EGU22-8138 | Presentations | HS8.3.5

Lysimeter experiments reveal effects of elevated atmospheric carbon dioxide on soil-water fluxes and biomass production of alpine grassland under drought 

Steffen Birk, Matevž Vremec, Veronika Forstner, Markus Herndl, and Andreas Schaumberger

Elevated atmospheric carbon dioxide (eCO2) has led to global warming and thus increased evaporative demand of the atmosphere. Yet, the vegetation response to eCO2 may counter the effect of warming by improving plant water-use efficiency (WUE). Here we use a lysimeter-based experimental approach to investigate the effect of eCO2 on the evapotranspiration (ET), soil-water availability, and aboveground biomass (AGB) production of managed alpine grassland under drought. For this purpose, we use data from six weighable high-precision lysimeters at the ClimGrass experimental site operated by the Agricultural Research and Education Centre Raumberg-Gumpenstein (Austria). While one of these lysimeters is operated under ambient conditions, mini-T-FACE systems are used for controlled manipulation of the other lysimeters. Two lysimeters are operated under constant warming of +3 K relative to the ambient surface temperature, two under constant eCO2 of +300 ppm relative to the ambient atmospheric concentration, and one with a combination of elevated temperature and eCO2.

Considering the observations from 2018 to 2020, eCO2 is found to lower ET relative to ambient conditions. Yet, biomass production does not appear to benefit from the water savings resulting from the reduced ET, because plant growth at this humid alpine site generally is energy-limited rather than water-limited (Forstner et al., Hydrol. Earth Syst. Sci., 2021). During summer 2019, however, a distinct dry spell was observed in which actual ET was well below potential ET. This suggests a depletion of the soil-water availability, potentially limiting plant growth in this time period. Under these drought conditions, ET was temporarily higher at the lysimeters with eCO2 compared to those with ambient carbon dioxide concentrations. This corresponded to higher soil water contents and matric potentials resulting from the water savings in the pre-drought period at the lysimeters treated with carbon dioxide. As opposed to other time periods, under the drought in summer 2019 AGB and WUE were found to be higher at the lysimeters with eCO2 than at those with ambient carbon dioxide concentrations. This effect appears to be most evident at the heated plots. It can be concluded that the water savings resulting from eCO2 enabled prolonged water consumption into the drought period, thus mitigating the water limitation and benefiting plant growth. In summary, our results suggest that elevated atmospheric carbon dioxide can help mitigate water stress in alpine grassland during drought.

How to cite: Birk, S., Vremec, M., Forstner, V., Herndl, M., and Schaumberger, A.: Lysimeter experiments reveal effects of elevated atmospheric carbon dioxide on soil-water fluxes and biomass production of alpine grassland under drought, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8138, https://doi.org/10.5194/egusphere-egu22-8138, 2022.

EGU22-8524 | Presentations | HS8.3.5

Quantitative comparison of root water uptake simulated by functional-structural root architecture models 

Andrea Schnepf, Valentin Couvreur, Benjamin Delory, Claude Doussan, Mathieu Javaux, Deepanshu Khare, Axelle Koch, Timo Koch, Christian Kuppe, Daniel Leitner, Guillaume Lobet, Félicien Meunier, Johannes Postma, Ernst Schäfer, Jan Vanderborght, and Harry Vereecken

3D models of root growth, architecture and function are becoming important tools to aid the design of agricultural management schemes and the selection of beneficial root traits. While benchmarking is common for water and solute transport models in soil, 3D root-soil interaction models have not yet been systematically analysed. Several interacting processes might induce disagreement between models: root growth, sink term definitions of root water and solute uptake and representation of the rhizosphere. Schnepf et al. (2020) proposed a framework for quantitatively comparing such models. It builds upon benchmark scenarios that test individual components, followed by benchmark scenarios for the coupled root-rhizosphere-soil system.

Here we present the results of benchmarking different well-known models (“simulators”) with respect to water flow in soil, water flow in roots, and water flow and root water uptake in a coupled soil-root system for the case of a given prescribed root architecture as observed from an MRI experiment. The participating simulators are

CPlantBox and DuMux (Koch et al. 2021; Mai et al. 2019), R-SWMS (Javaux et al. 2008), OpenSimRoot (Postma et al. 2017) and ArchiSimple, RootTyp and SRI (Beudez et al. 2013; Pagès et al. 2014; Pagès et al. 2004).

In the benchmark scenarios that represent individual modules, the different simulators solved the same mathematical model but with different numerical approaches; all perform well with respect to the given analytical reference solution. For the coupled problem of root water uptake from a drying soil, the different simulators make different choices for the coupling of the different sub-problems. Thus, the results of the different simulators show a larger heterogeneity amongst each other.

We expect that this benchmarking will result in improved models, with which we can simulate various scenarios with greater confidence, avoiding that future work is based on accidental results caused by bugs, numerical errors or conceptual misunderstandings and will set a standard for model development.

Beudez N, Doussan C, Lefeuve-Mesgouez G, Mesgouez A (2013) Procedia Environmental Sciences 19: 37-46. doi:

Javaux M, Schröder T, Vanderborght J, Vereecken H (2008) Vadose Zone Journal 7: 1079-1088.

Koch T, Wu H, Schneider M (2021) Journal of Computational Physics: 110823.

Mai TH, Schnepf A, Vereecken H, Vanderborght J (2019) Plant and Soil 439: 273-292. doi: 10.1007/s11104-018-3890-4.

Pagès L, Bécel C, Boukcim H, Moreau D, Nguyen C, Voisin A-S (2014) Ecological Modelling 290: 76-84.

Pagès L, Vercambre G, Drouet J-L, Lecompte F, Collet C, Le Bot J (2004) Plant and Soil 258: 103-119.

Postma JA, Kuppe C, Owen MR, Mellor N, Griffiths M, Bennett MJ, Lynch JP, Watt M (2017) New Phytologist 215: 1274-1286.

Schnepf A, Black CK, Couvreur V, et al. (2020) Frontiers in Plant Science 11.

How to cite: Schnepf, A., Couvreur, V., Delory, B., Doussan, C., Javaux, M., Khare, D., Koch, A., Koch, T., Kuppe, C., Leitner, D., Lobet, G., Meunier, F., Postma, J., Schäfer, E., Vanderborght, J., and Vereecken, H.: Quantitative comparison of root water uptake simulated by functional-structural root architecture models, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8524, https://doi.org/10.5194/egusphere-egu22-8524, 2022.

EGU22-10218 | Presentations | HS8.3.5

Measuring and modeling water fluxes across soil-plant-atmosphere continuum in a temperate forest environment 

Tomas Vogel, Veronika Skalova, Michal Dohnal, Jana Votrubova, and Miroslav Tesar

This study is focused on fluxes of water and energy associated with the plant transpiration in a temperate montane forest of Central Europe. The research is based on the long-term monitoring of basic hydrological and meteorological variables at two adjacent forest sites, covered with Norway spruce and European beech. The analysis of the observed variables is combined with the numerical modeling of soil-plant hydraulics.

Among the monitored variables, sap flow in tree xylem is measured continuously by thermal dissipation probes. Soil water pressure and soil water content are monitored by tensiometers and FDR sensors at several depths. Catchment discharge observations, reflecting the subsurface responses to major rainfall events, are used together with the soil water content data to provide the relevant information on the catchment water balance, which constrains the long-term cumulative transpiration amount.

A one-dimensional soil water flow model, involving vertically distributed macroscopic root water uptake and whole-plant hydraulic capacitance algorithm to account for the transient xylem water storage, is used to simulate the temporal variations of water fluxes in the soil-plant-atmosphere system.

The observed sap flow rates are compared with the simulated transpiration fluxes. A particular attention is paid to the different behavior of spruce and beech trees during periods with extreme transpiration demand (summer midday conditions). The results of the comparisons confirm the expected isohydric response of spruce in contrast to a more anisohydric behavior of beech trees.

The comparison of the modeling results with the in-situ observations reveals a complex interplay of soil and plant hydraulic properties determining the specific responses of spruce and beech forest stands to the same weather conditions.

The research is supported by the Czech Science Foundation Project No. 20-00788S.

How to cite: Vogel, T., Skalova, V., Dohnal, M., Votrubova, J., and Tesar, M.: Measuring and modeling water fluxes across soil-plant-atmosphere continuum in a temperate forest environment, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10218, https://doi.org/10.5194/egusphere-egu22-10218, 2022.

EGU22-10372 | Presentations | HS8.3.5

Root activity for water uptake: a hydraulic approach 

Mathieu Javaux and Ali Mehmandoostkotlar

Despite most macroscopic models for root water uptake considering root length density (RLD) to describe root water uptake (RWU) distribution, there are numerous studies demonstrating inconsistencies between soil water content profile and RLD that can be attributed to the inability of some roots to extract water. In fact, the physical relationship between RWU and the root system ignores the hydraulic characteristics of the root. To cope with this rigid assumption, the activity of a root system can be defined as the portion of the root system extracting majority of soil water. Root water uptake activity depends on the hydraulic head gradient between root-soil interface and xylem and on root segment conductance, which are terms not considered in macroscopic models. Therefore, both soil and root hydraulic properties are critical in determining RWU activity. Yet, in real root systems, active root fraction is continuously changing due to root development, root adaptation and soil moisture heterogeneity, which are not possible to be assessed considering the currently available experimental facilities. Therefore, our aim in this study is threefold: (1) establish a theoretical framework to investigate root water uptake activity; (2) Investigate with 0D hydraulic architecture model and 3D architectural soil-root water flow model to estimate the active root fraction and to find the effective parameters on active root fraction and finally (3) demonstrate and provide orders of magnitude of active root fraction for real situations. The initial results showed that RWU activity for a single segment depends on radial hydraulic conductivity distribution if xylem conductance is not limiting. The active fraction of the root for fibrous and taproot systems at different ages with their realistic root hydraulic properties was investigated under equilibrium and realistic soil water potential and compared with some existing values in literature. The simulated active root fraction and obtained ones from the previous studies rarely exceed 30% of the whole root system. The active root fraction is therefore an important factor to know and characterize to properly estimate soil resistance and stress onset.

How to cite: Javaux, M. and Mehmandoostkotlar, A.: Root activity for water uptake: a hydraulic approach, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10372, https://doi.org/10.5194/egusphere-egu22-10372, 2022.

EGU22-11150 | Presentations | HS8.3.5

Towards fully automated root phenotyping in the field: from Minirhizotron image acquisition to data analysis 

Kaining Zhou, Adam Soffer, Jhonathan E. Ephrath, Ofer Hadar, and Naftali Lazarovitch

Root phenotyping in the field remains challenging from root imaging to data analysis since each part of this process is time-consuming and labor-intensive. Extensive efforts have been taken to explore the possibility to automate parts of this process. However, few studies have provided an integrated solution to make the whole process in a manner of low cost, automated, and customizable for different tasks.  In this study, we have worked towards this goal. A newly designed root imaging system called RootCam addresses the above-mentioned limitations. RootCam moves a small camera with fully automated operations for long-term in-situ monitoring. It captures high-resolution root images (2592 x 1944 pixels). These images are saved to a “Raspberry Pi” device which is accessible by a network cable allowing users to control the system remotely. Users can also control time intervals between runs and set image capturing either overlapped or non-overlapped. This camera was tested in a net house by imaging bell pepper roots which shows superior performance over commercial minirhizotron systems. A deep convolutional neural networks (CNN) model was developed to detect plant roots and calculate root length. This model was trained and calibrated with a dataset of ~18,000 tomato root images and has been used for calculating bell pepper root length on 832 images. The high correlation coefficient (R2 = 0.854) between the measurements from the automated and manual methods proved that our model is able to generalize well over different crop roots. However, the model underestimates root length when there are many roots in an individual image. In summary, the platform we developed to automatize minirhizotron image acquisition and analysis has the promising potential to benefit both the root research community via accelerating high throughput root phenotyping in the field for root studies and farmers via making real-time root development information available for decision making.

How to cite: Zhou, K., Soffer, A., Ephrath, J. E., Hadar, O., and Lazarovitch, N.: Towards fully automated root phenotyping in the field: from Minirhizotron image acquisition to data analysis, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11150, https://doi.org/10.5194/egusphere-egu22-11150, 2022.

EGU22-11346 | Presentations | HS8.3.5

Parameterization of Stomatal Conductance in a Subarctic Deciduous Shrub 

Astrid Vatne, Ane Victoria Vollsnes, Norbert Pirk, and Lena Merete Tallaksen

Plants play an important role in regulating the land-atmosphere water and carbon flux through stomata control. To avoid excess water loss, the stomatal conductance is reduced during low soil water availability or high water demand from the atmosphere. Atmospheric evaporative demand is projected to increase through an increase in vapour pressure deficit (VPD) in response to global warming. Stomatal conductance models used in earth system models often rely on empirical parameters. However, since VPD and soil moisture content often are correlated, it can be difficult to disentangle the effect of each driver in studies using field data. In this study, we evaluate the effect of VPD and soil moisture on stomatal conductance independently by conducting an experiment in controlled growth conditions. In the experiment, we will subject groups of dwarf birch (Betula nana) to increasing VPD in both well-watered and drying soil conditions and measure the effect on stomatal conductance and leaf scale water and carbon gas exchange. Dwarf birch is selected as it is widespread in high latitutes and our study focuses on land-atmosphere exchange in this region. The experimental design allows us to evaluate existing parametrizations of stomatal conductance and test hypotheses on how sensitive the parameters are to drought history.  The experiment will provide important knowledge on how to improve parameterization of water and carbon exchange in high latitude ecosystems. This presentation will show the first results of the experiment. This work is a contribution to the Strategic Research Initiative ‘Land Atmosphere Interaction in Cold Environments’ (LATICE) of the University of Oslo and the EMERALD research project.  

How to cite: Vatne, A., Vollsnes, A. V., Pirk, N., and Tallaksen, L. M.: Parameterization of Stomatal Conductance in a Subarctic Deciduous Shrub, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11346, https://doi.org/10.5194/egusphere-egu22-11346, 2022.

Forest dieback can be both a consequence and a cause of climate change. The changing climate does not only lead to temperature increases but also changes in the precipitation regime. Extreme events have increased sharply in recent years, making drought and heat waves ubiquitous. Meanwhile, for temperate forests, drought stress is considered one of the most serious impacts of climate change. In this context, forest soils are of great importance in their hydrological functions, as well as their feedbacks with ground vegetation. In this context, biological soil crusts are key drivers of functional processes and ecosystem development, also under forest, where they have been less studied so far. Bryophyte and lichen dominated communities can importantly affect e.g. water storage and discharge as well as soil development and stabilization. Moreover, they contribute to carbon and nitrogen cycling and play an important role in biogeochemical processes. Their species composition depends on soil properties such as texture and pH, on microclimate and as poikilohydric plants, their ecophysiology is strongly dependent on water availability, differing in time and space.

For a better understanding of ecohydrological and soil stabilizing functions of biological soil crusts within forest ecosystems, their spatial and temporal activity needs to be linked with microclimate and monitored continuously in the field. Therefore, we investigate the microclimatic conditions and activity of bryophyte-lichen-dominated biological soil crusts on sandy soils in Linde, Brandenburg and silty-clayey soils in the Schönbuch Nature Park, Baden-Württemberg, Germany. Water regimes within mosses and substrates are continuously determined with a novel biocrust wetness probe (BWP). Moreover, the interactions between mosses and soils are investigated in infiltration boxes with cultivated moss species. It could be shown so far, that moss-dominated biological soil crusts decrease infiltration and soil water availability in the dry sandy soils in Brandenburg and further comparative investigations will now be processed. We thus contribute to the study of effects of bryophyte-lichen communities on soil water retention, soil structure, with a focus on drought resistance of forest stands, as well as soil development at disturbance sites in temperate forest ecosystems.

How to cite: Seitz, S. and Veste, M.: Bryophyte-lichens dominated biological soil crusts affect soils and ecohydrology in temperate forests in Germany, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12352, https://doi.org/10.5194/egusphere-egu22-12352, 2022.

EGU22-12379 | Presentations | HS8.3.5

Application of deep learning segmentation techniques in smartphone images to assess growth of fine roots of spruce seedlings manipulated by air humidity and soil nitrogen source 

Marili Sell, Abraham George Smith, Iuliia Burdun, Gristin Rohula-Okunev, Priit Kupper, and Ivika Ostonen

A new insight in root growth dynamics is presented in this study, where pictures of root growth were taken with personal mobile phones and analysed by the machine learning based program RootPainter (Smith et al. 2020). Todays’ smartphones provide high-quality photos and user-friendly free software enables rapid processing of these images. We aimed to explore 1) how accurate the results are of the deep learning segmentation models created for assessing root growth, 2) how the changes in relative air humidity and dominating soil nitrogen source and their interactions influence root growth.
Picea abies trees were grown separately in transparent boxes in growth chambers in moderate or elevated air humidity and on nitrate or ammonium soil source. The pictures of roots were made from each side of boxes every week, together six sessions. The pictures were analysed with RootPainter twice, one where total root projection area was measured, second with only young white roots.
The total root growth was highest in trees growing in moderate air humidity and on ammonium source, lowest in elevated air humidity grown on nitrate source, 9.4 ± 1.9 and 3.9 ± 0.6 cm2, respectively. The young root projection area was highest in the beginning of experiment, and was affected by the soil nitrogen source. The amount of lignified roots increased over time and was affected by the air humidity treatment. The F measure was 0.88, when we compared a subset of automatically measured pictures to manually annotated pictures. We will further discuss about the magnitude of the errors 1) where the program identified “root as soil” and “soil as root”, and 2) where the root projection area of young roots was greater than the total root projection area. We did not discover treatment-specific bias in our error measurements. We conclude that the combination of smartphone images and RootPainter gives accurate and reliable results and is easy to use in plant growth manipulation experiments in the future.

Smith AG, Han E, Petersen J, Olsen NAF, Giese C, Athmann M, Dresbøll DB, Thorup-Kristensen K. 2020. RootPainter: Deep learning segmentation of biological images with corrective annotation. bioRxiv, doi:10.1101/2020.04.16.044461

How to cite: Sell, M., Smith, A. G., Burdun, I., Rohula-Okunev, G., Kupper, P., and Ostonen, I.: Application of deep learning segmentation techniques in smartphone images to assess growth of fine roots of spruce seedlings manipulated by air humidity and soil nitrogen source, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12379, https://doi.org/10.5194/egusphere-egu22-12379, 2022.

EGU22-12582 | Presentations | HS8.3.5

Rooting out soil structure 

Paul Hallett, Md Dhin Islam, Licida Giuliani, Kenneth Loades, and Adam Price

Soil has a spatially heterogeneous mix of weaker and stronger elements, and larger and smaller pores.  When studying physical constraints to root growth, however, most studies use sieved, repacked soil to create a more homogeneous environment that is far from conditions observed in field soils.  Sieved, repacked soil gives the advantage of careful manipulation of physical properties, such as density or penetration resistance, and also removes differences in carbon and microbial properties that could affect structurally different soils sampled from tillage or compaction field experiments.  To overcome unrealistic homogeneity of repacked soils, but remove soil structure treatment impacts on other soil properties that could confound interpretation, we have explored root growth in laboratory cores carefully packed to provide different soil structures. 

In one set of experiments, sieved soil was compacted then broken apart to form aggregates.  Treatments were formed by packing either the sieved soil (unstructured) or much denser aggregates (structured) to a range of bulk densities, producing a 50% increase in macroporosity at 1.55 g/cm3 density and more variable penetration resistances for structured soils.  Plant growth of barley, peas and Arabidopsis, including shoot and root properties, was affected less by bulk density in structured than unstructured soils.  For instance, root length of barley and peas decreased less between 1.25 g/cm3 and 1.55 g/cm3 for structured compared to unstructured soils, as roots could exploit macropores. 

Another experiment explored how the shape of macropores in the plough pan affected deep rooting of rice.  Round holes simulating biopores and straight pores simulating cracks were inserted through a simulated plough pan, packed to the Proctor Density of 1.53 g cm-3 and penetration resistance of 2.80 MPa at – 20 kPa water potential.  Not only did macropores improve root growth in the plough pan and through to the subsoil, but the shape of the macropore had a large impact.  Cracks compared to biopores produced 55% more root length density in the plough pan, but 26% less root length density in the subsoil. Many other root properties in the plough pan and subsoil were affected by macropore shape.

With increased use of shallow or zero tillage, and constraints from diminishing water for irrigation and the stresses of climate change, the capacity of roots to take advantage of the heterogenous structure of field soil to grow deep and wide is extremely important.  Laboratory approaches with controlled soil structure will help to unravel the underlying processes by providing careful control, which can supplement understanding obtained from structured field soils.

How to cite: Hallett, P., Islam, M. D., Giuliani, L., Loades, K., and Price, A.: Rooting out soil structure, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12582, https://doi.org/10.5194/egusphere-egu22-12582, 2022.

EGU22-12979 | Presentations | HS8.3.5

The Co-Effect of Root Exudates and Incubation Time on Solute Transport in the Rhizosphere 

Amit Paporisch, Harel Bavli, Rachel J Strickman, Rebecca B Neumann, and Nimrod Schwartz

Root exudates alter the rhizosphere’s physical properties, but the impact these changes have on solute transport is largely unknown. Additionally, root exudates enhance the microbial activity in soil, which may further change the rhizosphere’s physical properties, including solute transport. In this study, we tested the effects of chia mucilage and wheat root exudates on the transport of iodide in saturated soil. Solute breakthrough experiments, conducted in loamy sand soil or coarser textured quartz sand, revealed that increasing the exudate concentration in soil resulted in non-equilibrium solute transport. This behavior was demonstrated by an initial solute breakthrough after fewer pore volumes and the arrival of the peak solute concentration after greater pore volumes in soil mixed with exudates compared to soil without exudates. These patterns were more pronounced for the coarser textured quartz sand than for the loamy sand soil and in soil mixed with mucilage than in soil mixed wheat root exudates. Parameter fits to these breakthrough curves with a mobile-immobile transport model indicated the fraction of immobile water increased as the concentration of exudates increased. For example, in quartz sand, the estimated immobile fraction increased from 0 without exudates to 0.75 at a mucilage concentration of 0.2%. Saturated breakthrough experiments were also conducted in a loamy sand soil mixed with mucilage and incubated at 25 ºC for different time periods of up to 28 days. In this set of experiments, mucilage at a concentration of 0.2% in the soil had no effect on the iodide breakthrough curve prior to soil incubation, while 0.4% mucilage concentration altered the transport pattern (as described above), and its breakthrough curve pattern remained stable for the entire incubation period. However, after a 7-day incubation period, the breakthrough curve of soil with 0.2% mucilage concentration was also altered, again showing earlier breakthrough and later arrival of the peak iodide concentration compared to the breakthrough curve before incubation. This breakthrough pattern persisted for the remainder of the incubation period. The results of this study indicate that root exudates alter the rhizosphere’s transport properties and that enhanced microbial activity following root exudation may further affect solute transport. We hypothesize that this is due to exudates creating low-conducting flow paths that result in a physical non-equilibrium solute transport. Additionally, we hypothesize that enhanced microbial activity following root exudation results in secretion of extracellular polymeric substances and generation of biofilm that further affect the flow paths in soil, thus potentially altering solute transport in the rhizosphere with time.   

How to cite: Paporisch, A., Bavli, H., Strickman, R. J., Neumann, R. B., and Schwartz, N.: The Co-Effect of Root Exudates and Incubation Time on Solute Transport in the Rhizosphere, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12979, https://doi.org/10.5194/egusphere-egu22-12979, 2022.

SSS10 – Metric, Informatics, Statistics and Models in Soils

EGU22-3722 | Presentations | SSS10.1

Biological soil crusts as a mechanism to protect areas under sandization processes in southern Brazil 

carla Lisiane webber, Vera Regina Werner, Steffen Seitz, Thomas Scholten, and Ulisses Franz Bremer

Biological Soil Crusts (biocrusts) are communities of algae, lichens, mosses, cyanobacteria, and other nonvascular organisms living in the soil surfaces. Biocrusts are a key factor in the protection of arid and semiarid ecosystems and, therefore, playing a major role against desertification. Biocrusts are also of profound importance in sand dune areas, as they are recognized as the first colonizers after environmental disturbances and can help preventing sediment remobilization. Moreover, biocrusts have shown to be of importance in soil protection against erosion, but also nutrient cycling in the Pampa biome in Brazil. Here, natural geomorphological processes and soil misuse led to the expansion of sediment remobilization areas, generating a severe problem - the difficulty of fixing field vegetation and crops. The present study investigates the behavior and interrelationships of biocrusts specifically in areas that suffer sandization in the Brazilian Pampa biome and verifies their relationship with soils and soil organisms. We analyzed biocrusts in three consecutive stages. Starting with a taxonomic exploration of the dominant component of cyanobacteria, proceeding to its characterization and finally determining its importance. We investigated two study sites in São Francisco de Assis and samples were collected in May 2016 and October 2019. The sites are characterized by sandy soils that suffer gullying, one without human intervention and the other one with artificially stabilized ravines. The analysis of biological material was carried out with microscopy, and it could be determined that the composition consists of 13 taxa of cyanobacteria and one filamentous species, Stigonema sp., could be specifically highlighted. These black to dark green spotty communities on the soil surface played an important role in particle aggregation, which can be granulated and show macroscopic forms. When analyzing the location of the biocrusts within the topography, it was observed that they occur in more humid places, occupying the same positions in all relief compartments. Biocrusts mostly develop on the top of the gullies or on upper and more stabilized slopes, especially when facing southern orientation. Taking into account the biocrust cover, we can identify different morphologies such as smooth, rolling and pinnacle blocks, which showed us different combinations according to the degree of evolution related to the micromorphology of the relief. We found that the presence of these biocrusts as an element of nutrient source and balance generator can lead to a reduction of soil erosion and was thus of outmost importance for the restoration of this biome.

How to cite: webber, C. L., Werner, V. R., Seitz, S., Scholten, T., and Bremer, U. F.: Biological soil crusts as a mechanism to protect areas under sandization processes in southern Brazil, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3722, https://doi.org/10.5194/egusphere-egu22-3722, 2022.

EGU22-5224 | Presentations | SSS10.1

A numerical model for microbially mediated soil aggregate formation considering the effect of crop residue quality 

Moritz Laub, Sergey Blagodatsky, Marijn Van de Broek, Samuel Schlichenmaier, Johan Six, Benjapon Kunlanit, Patma Vityakon, and Georg Cadisch

It is crucial to understand what influences the dynamics of soil aggregates, because soil organic matter (SOM) stabilized inside aggregates is the fraction of SOM that is most susceptible to anthropogenic activity. Yet, there is a lack of numerical process models that include the dynamics of aggregate formation and breakdown and to date, no model represents the important connection between microbial carbon use efficiency (CUE) and aggregate formation. Here, we introduce a model of microbially mediated aggregate formation, which includes litter-stoichiometry and -quality dependent CUE and simulates soil aggregate formation facilitated by the microbial excretion of binding substances. The model is evaluated against measured data of microbial biomass, SOM content and intra-aggregate SOM from a long term bare-fallow experiment in a tropical sandy soil, which was subject to plant litter addition of different qualities. The benefit of simulating aggregates in a model of SOM dynamics is assessed by comparing it against a version that does not, both being separately calibrated to the same dataset. Our results show that the developed model can effectively represent the microbial growth response that follows litter addition and the formation as well as the delayed breakdown of soil aggregates, after the microbial growth peaked. As shown by a higher modelling efficiency and a lower Akaike information criterion, the model version that includes aggregate formation outperforms the one that does not in the simulation of total organic carbon, total N and for the decomposition of litter. Additionally, it can represent the temporal dynamics of C stored in the silt and clay fraction. Yet, while the model could capture the temporal dynamic of aggregates as a result of litter quality, the amount of C in aggregates in the control treatment without litter addition was underestimated. Our results suggest that aggregate formation is an important process that could be included into SOM models to improve the simulation of both aggregated and non-aggregate pools. However, the underestimation of aggregate C in the control could be a hint, that abiotic aggregate formation may be a relevant factor, especially in low input systems, and may also need to be included.

How to cite: Laub, M., Blagodatsky, S., Van de Broek, M., Schlichenmaier, S., Six, J., Kunlanit, B., Vityakon, P., and Cadisch, G.: A numerical model for microbially mediated soil aggregate formation considering the effect of crop residue quality, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5224, https://doi.org/10.5194/egusphere-egu22-5224, 2022.

EGU22-5394 | Presentations | SSS10.1

Do we necessarily need to increase model complexity to forecast soil carbon dynamics? 

Bertrand Guenet, Julia Le Noé, Elisa Bruni, Samuel Abiven, Pierre Barré, and Lauric Cécillon

The importance of carbon fluxes between soils and atmosphere and their storage capacities have made soils a key component of nature-based solutions to mitigate climate change. Consequently, the need to forecast soil carbon dynamics at the decadal time scales is becoming a key research avenue for soil scientists and biogeochemists. One of the most important tools to fill this objective is the use of models, which have been developed and implemented since the mid- 20th century. Presuming that integrating more mechanisms would improve these models, some models of increased complexity were recently developed. Indeed, since roughly two decades, several approaches have been proposed to better represent the effect of some key mechanisms in particular related to soil biology and soil physics. For instance, few models are now able to describe explicitly and reliably the importance of soil microorganisms on the soil carbon dynamics from plot to global scale. Here, we will discuss what is the rationale behind model complexity increase, what are the limitations associated and discuss the status of evaluation for model prediction. In particular, we will show that despite model of increased complexity may provide accurate predictions in some conditions, those complex models also came with their own implicit assumptions and limitations that must be well understood before using complex models to forecast soil carbon dynamics and feed policy decisions. We also consider that models of lower complexity, which have been generally developed earlier, have also their own assets and have often been better evaluated. As a consequence, models of lower complexity may be considered as more robust and more adapted to forecast soil carbon dynamic and the improvement of their parameterization should also be considered as a valuable alternative. We will also present why multi model approach is important to reduce uncertainties and explain why using model ensemble, when implemented a diversity of carefully evaluated models, is a key method to forecast soil carbon dynamics. Finally, we will show that the fabulous growth of model complexity and the societal needs associated to soil is an incredible opportunity for soil scientists to increase the understanding of soil carbon cycle, in particular in the context of global changes, and to improve our future predictions on soil carbon. 

How to cite: Guenet, B., Le Noé, J., Bruni, E., Abiven, S., Barré, P., and Cécillon, L.: Do we necessarily need to increase model complexity to forecast soil carbon dynamics?, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5394, https://doi.org/10.5194/egusphere-egu22-5394, 2022.

EGU22-5635 | Presentations | SSS10.1

Systemic modelling of soil functions under the impact of agricultural management 

Ulrich Weller, Sara König, Bibiana Betancur-Corredor, Birgit Lang, Mareike Ließ, Stefanie Mayer, Bastian Stößel, Hans-Jörg Vogel, Martin Wiesmeier, and Ute Wollschläger

The increasing demand for food and bio-energy gives need to optimize soil productivity, while securing other soil functions such as nutrient cycling and buffer capacity, carbon storage, biological activity, and water filter and storage. Mechanistic simulation models are an essential tool to fully understand and predict the complex interactions between physical, biological and chemical processes of soil with those functions, as well as the feedbacks between these functions.

We present a systemic soil model to simulate the impact of different management options and changing climate on the named soil functions by integrating them within a simplified system. The model operates on a 1d soil profile and integrates different processes including dynamic water distribution, soil organic matter turnover, crop growth, nitrogen cycling, microbial activity, and root growth.

We present the main features of our model by simulating a long-term field experiment and comparing the simulation results with measured data on yield, carbon, nitrogen and microbial biomass. Additional simulations on soil tillage show the relevance of soil structure for the main soil functions. This is possible due to the dynamic water submodel, which allows for a non rigid pore structure.

To evaluate the simulation results, we propose a combination of our mechanistic modelling with an indicator-based approach for a dynamic soil function evaluation.

How to cite: Weller, U., König, S., Betancur-Corredor, B., Lang, B., Ließ, M., Mayer, S., Stößel, B., Vogel, H.-J., Wiesmeier, M., and Wollschläger, U.: Systemic modelling of soil functions under the impact of agricultural management, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5635, https://doi.org/10.5194/egusphere-egu22-5635, 2022.

Over the past years, many mechanistic soil organic carbon models have been developed. While these models offer a clear improvement in process representation compared to classic SOC models (e.g. of microbial mineralization and mineral protection of OC), the increase in model complexity, and thus the number of uncertain model parameters, is generally not supported by sufficient available data. Thus, model parameters can generally not be sufficiently constrained through a calibration with typically used data, like soil carbon contents, because multiple, similarly good solutions are possible (referred to as the equifinality problem).

A common approach to reduce equifinality in SOC models is to use 14C isotopes of SOC as an additional constraint during model calibration. While this approach has shown to improve parameter identifiability (i.e., the identification of unique parameters that lead to optimal results), data on the Δ14C of SOC is often not available due to high measurement costs. Therefore, we explored the potential of constraining a SOC model with the more widely available ratio of stable carbon isotopes of SOC (δ13C). While simulations of Δ14C generally better constrain the turnover time of slowly cycling SOC pools, simulations of δ13C allow to constrain additional processes, such as mixing of OC from aboveground and belowground sources and recycling of SOC through microbes. To do so, we developed a novel mechanistic, microbially driven model that simulates depth profiles of SOC (SOILcarb). In addition to total OC, the model simulates the δ13C and Δ14C value of SOC, by incorporating multiple processes affecting these isotopic ratios in soils.

Our results show that SOILcarb was able to accurately simulate depth profiles of total SOC, δ13C and Δ14C of a forest soil. To optimally explore the parameter space, we used a differential evolution calibration algorithm and extracted all parameter sets that led to a reliable simulation of depth profiles given a fixed error margin. The results showed that simulations calibrated only on total OC data did not results in a good fit of simulated depth profiles of either δ13C or Δ14C. In contrast, simulations using either δ13C or Δ14C as an additional model constraint led to accurate simulations of depth profiles of total OC, δ13C and Δ14C by reducing the range in, and absolute value of, parameter values related to mainly vertical transport and protection rates of OC. Notably, parameters related to microbial OC uptake rates and microbial turnover were not better constrained by either isotopic ratio. Our results show that additional constraints on parameter values, in addition to total SOC, are necessary to increase confidence in model parameters of mechanistic SOC models, while more work is needed to better constrain microbial processes in these models.

How to cite: Van de Broek, M., Govers, G., Schrumpf, M., and Six, J.: Evaluation of dual carbon isotope constraints (δ13C and Δ14C) on the parameterisation of a mechanistic, depth explicit soil organic carbon model, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7417, https://doi.org/10.5194/egusphere-egu22-7417, 2022.

EGU22-7645 | Presentations | SSS10.1

Sensitivity of a soil landscape to land use changes in a southern Alpine valley (Ticino, Switzerland) 

Manuele Bettoni, Sebastian Vogel, and Michael Maerker

The sensitivity of a landscape to changes is expressed by the likelihood that a given change in the controls of a system will produce a sensible, recognizable and persistent response in the properties of the system (Brunsden & Thornes, 1979).
The aim of this study is to investigate the sensitivity of an alpine soil landscape for human-induced perturbation in terms of land use changes that might affect soil properties and consequently affect also the stability of the soil landscape. The latter is of particular relevance since in alpine landscapes, land use effects tend to be intensified by extreme climatic and topographic conditions (Gordon, 2001). The study area is located in the southern Alps in the Canton Ticino (Switzerland) which is characterized by a centennial history of land use changes. The landscape can be subdivided into the following main land use-topography units: (i) forest areas in “natural” conditions on south and north facing slopes (reference state), (ii) pasture, (iii) meadow, (iv) cultivated agricultural terraces, and (v) abandoned terraces with forest regrowth in the last 40 years. Land use effects were verified by comparing the different land use-topography units with the reference state of “natural” forested slope. 
The following physicochemical key soil properties and soil water dynamics were measured that are known to be vulnerable to land use changes: saturated hydraulic conductivity, soil organic carbon (TOC), soil bulk density, hydrophobicity and aggregate stability as well as surface runoff generation and related soil erosion. Especially the latter can be considered the main contributor to soil degradation in alpine landscapes, reflecting the sensitivity of the soil landscape to land use changes. 
Statistical methods were used to detect changes, differences and correlations of key soil properties and soil water dynamics in the different land use-topography units in comparison to the natural conditions.
The results of the analysis show that land use and land use changes have a significant impact on soil properties and soil water dynamics. Most of the investigated soil properties show statistically significant differences compared to the reference condition. Land use-induced vegetation changes have a considerable effect on soil’s TOC which is directly related to hydrophobicity and inversely related to bulk density. Soil water dynamics are also land use-specific showing higher values of surface runoff in forests and abandoned terraces where soil hydrophobicity plays a significant role. Even though, land use and related vegetation change had significant effects on investigated soil properties, no effect on soil erosion. Hence, due to the particular characteristics in the lithology and soils of the study area, the soil landscape in the Onsernone valley seems to be resistant at least under the present-day climate variability.

Reference
Brunsden, D., Thornes, J. B. (1979) – Landscape sensitivity and change. Transactions Institute of British Geographers, 4(4), 403–484.
Gordon, J. E., Brazier, V., Thompson, D. B. A., & Horsfield, D. (2001) – Geo-ecology and the conservation management of sensitive upland landscapes in Scotland. Catena, 42(2–4), 323–332

How to cite: Bettoni, M., Vogel, S., and Maerker, M.: Sensitivity of a soil landscape to land use changes in a southern Alpine valley (Ticino, Switzerland), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7645, https://doi.org/10.5194/egusphere-egu22-7645, 2022.

EGU22-8490 | Presentations | SSS10.1

Modelling soil structure dynamics and nitrous oxide emissions in compacted soils by animal treading 

Alejandro Romero-Ruiz, Kevin Coleman, Carmen Segura, Laura Cardenas, Alice Milne, and Andrew Whitmore

Soil compaction is a form of soil degradation that adversely impacts soil mechanical and hydraulic properties, potentially affecting productivity and is often linked to increases in nitrous oxide emissions. However, we lack a quantitative understanding of the extent and environmental impacts of soil compaction. This is partially due to gaps in our knowledge of how compaction impacts soil physical properties spatially and temporally, how it impacts soil's hydrological functioning and how these impacts ultimately modify nitrification and denitrification in the soil. We propose to address this challenge by embedding a new? model of soil structure dynamics into an agro-ecosystem modelling framework to explicitly account for soil compaction impacts on soil functions such as soil moisture dynamics, plant growth and GHG emissions. We tested this model to assess the effect of soil compaction by animal treading in livestock-grazing systems. We considered random movement of cattle in a confined area that is discretized in square cells with given soil bulk density and saturated hydraulic conductivity. Changes in these properties in response to animal treading are then inferred using a soil rheology model based on Bingham's law. We modeled five two-month long grazing seasons in consecutive years using 18 years of weather data from the North Wyke experimental platform in Devon, United Kingdom. Our model predicts an increase of bulk density of up to 20% and a decrease in hydraulic conductivity of up to 95% due to animal treading. Such compaction-induced changes in soil pore space and related hydraulic functions led to a relative increase in N2O emissions from the compacted areas of up to 200% and a related decrease in yield of up to 15%, which is in agreement with ranges reported in the literature. By providing a mechanistic framework that calculates the impacts of soil management on soil properties and functions, our work advances the ability to test management strategies that might help to ameliorate the environmental impact of animal treading in grasslands.

How to cite: Romero-Ruiz, A., Coleman, K., Segura, C., Cardenas, L., Milne, A., and Whitmore, A.: Modelling soil structure dynamics and nitrous oxide emissions in compacted soils by animal treading, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8490, https://doi.org/10.5194/egusphere-egu22-8490, 2022.

EGU22-10791 | Presentations | SSS10.1

Fine-root biomass and soil properties across Peruvian forests 

Norma Salinas, Eric Cosio, Richard Tito, Rosa Maria Roman-Cuesta, Alex Nina, Tatiana Boza, Rudi Cruz, and Miguel Pedraza

To know the quantity of fine root biomass is crucial to understanding ecosystem structure and function. Soil characteristics and fertility are mainly determined by fine root dynamics, the turnover of this material is a major contribution of organic matter to soil structure and mineral nutrient cycles, and also the main source of carbon storage. Many studies of forests are mainly estimates of above-ground biomass. Here we report on differential patterns of fine root biomass allocation in Peruvian forests. Peru is divided into three large sub-regions, Amazon, Andean, and coast. These different ecosystems have also around 84 of the 103 ecosystems types and 28 of the 32 climates on the planet. A field study was conducted installing one-hectare permanent plots in each sub-region, this research was part of an intensive monitoring effort of the carbon cycle and functional traits in primary and secondary forests. To evaluate fine root biomass, 1 m2 cross-section pits were set up in the plots where soil samples were collected every 10 cm up to 1 m depth and every 25 cm up to 2 m depth. Roots were retrieved and sorted into different diameter categories ≤0.5, 0.5 - 2.5, 2.5 - 5, and> 5 cm. Samples were rinsed with tap water over a 500-um sieve to loosen the soil and facilitate root sorting and to ensure that the sieve was fine enough to retain the finer roots. The roots after sorting were weighed fresh and then dried at 80°C for 48 hours, weighed to the nearest 0.0001 g, and stored in plastic vials for chemical analysis.

Total root biomass measurements displayed strong regional differences. Coastal dry forest at 370 to 422 m in elevation, where a one ha plot can support 651-681 stems (> 10 cm dbh) had root biomass values ranging from 7960 kg ha-1 to 8130 kg/ha-1. Andean forest plots at 1780 m.a.s.l., with 586 stems contained 17020 kg ha-1 and Amazonian forest at 415 m.a.s.l., with 689 stems, had 33410 kg ha-1 fine root biomass. Our results support the hypothesis that large root biomass in tropical forests is related to ecosystem type, climatic variables (temperature and moisture), and nutrients. The low bulk density and fine root biomass in tropical forests are inversely related to temperature and moisture. Fine-root turnover decreased with soil depth, which can also have important implications for the soil carbon stock and C cycling.

How to cite: Salinas, N., Cosio, E., Tito, R., Roman-Cuesta, R. M., Nina, A., Boza, T., Cruz, R., and Pedraza, M.: Fine-root biomass and soil properties across Peruvian forests, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10791, https://doi.org/10.5194/egusphere-egu22-10791, 2022.

EGU22-10910 | Presentations | SSS10.1

Impacts of climate change in Pacific Islands catchments: sediment contribution due to tropical cyclones and depressions 

Eliana Jorquera, Jose F. Rodriguez, Patricia M. Saco, and Danielle Verdon-Kidd

Pacific Islands Countries are among the most vulnerable to climate change impacts, mainly due to the effects of sea-level rise and tropical cyclones. The Republic of Fiji has an extended history of flooding linked to tropical cyclones and depressions, and those floods export a considerable amount of sediment to coastal wetlands. Because long-term measurements of sediments are not available in most cases, hydro-sedimentological models became a valuable tool to quantify and predict the impacts on critical natural resources.

This contribution presents a hydro-sedimentological model for the Dreketi catchment, which  has been calibrated based on ground and satellite information for current conditions. The model is used to set up four scenarios based on climate change projections and considering changes in vegetation cover due to changes in land use. We analysed the sediment export from the catchment and the changes in the storage of sediment within the catchment.

On average, we observed that the daily sediment export increases up to 5% in a warmer world. The contribution of tropical cyclones and depressions to the annual sediment budget rises by a similar amount. The wet or cyclone season (Nov – April) presents a higher increasing trend on sediment export than the dry season (May-Oct).

How to cite: Jorquera, E., Rodriguez, J. F., Saco, P. M., and Verdon-Kidd, D.: Impacts of climate change in Pacific Islands catchments: sediment contribution due to tropical cyclones and depressions, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10910, https://doi.org/10.5194/egusphere-egu22-10910, 2022.

EGU22-11905 | Presentations | SSS10.1

Theory and empirical evidence for the irregularity of self-organized vegetation patterns 

Karl Kästner, Daniel Caviedes Voullieme, Nanu Frechen, and Christoph Hinz

In arid environments, vegetation tends to self-organize into patches separated by bare soil. This is necessitated by the lack of water for sustaining a continuous vegetation cover and facilitated by the attraction of water from barren interpatch areas by the vegetation. This process is a positive feedback which introduces spatially heterogeneity into otherwise homogeneous environments, characterised by regular patterns. These patterns are typically considered to be periodic and distinguished on hand of their wavelength. Such patterns have so far been studied with numerical models which generate periodic patterns in homogeneous environments. However, environments are rarely homogeneous, as topography and soil-hydraulic properties vary in space. This raises the questions to which degree heterogeneity of vegetation is self-organized or imposed by the environment, and how environmental heterogeneity interacts with the self-organization process. In contrast to the persisting conceptual model of periodic patterns, natural vegetation exhibit a high degree of irregularity. Several studies have linked this irregularity to heterogeneity in the environment, but a comprehensive theory for analysing the irregularity has not yet been established. Furthermore remains the extend of irregularity unexplored on a global scale. To fill this gap, we, demonstrate empirically the global prevalence of irregularity in vegetation patterns and find that natural vegetation patterns are stochastic, rather than periodic. We then propose a stochastic framework to conceptually describe and measure the regularity, based on the spectral density of the patterns. In addition to the dominant wavelength, measuring the spatial scale, it reveals a novel parameter, measuring the regularity. The parameter is determined by the correlation structure and discriminates gradually between the limit cases of periodicity and white noise. Applied to natural and computer-generated patterns, we find that the former are highly irregular, while the latter are close to periodic. We reproduce the stochasticity of patterns with numerical models by introducing spatial heterogeneity of the model coefficients. We provide a fresh look at the nature of vegetations patterns and present a comprehensive theory for a more holistic understanding of self-organized systems.

How to cite: Kästner, K., Caviedes Voullieme, D., Frechen, N., and Hinz, C.: Theory and empirical evidence for the irregularity of self-organized vegetation patterns, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11905, https://doi.org/10.5194/egusphere-egu22-11905, 2022.

EGU22-12374 | Presentations | SSS10.1

Eco-hydro-geomorphic evolution of the Sandal Divlit cinder cone, Kula, Turkey 

Omer Yetemen, Aydogan Avcioglu, Yavuz Selim Celik, Ibrahim Simsek, Mesut Kolbuken, In-Young Yeo, Kwok Pan Chun, Tolga Gorum, and Omer Lutfi Sen

In semi-arid ecosystems, microclimatic variations may lead to topographic asymmetry over geologic time scale due to uneven distribution of incoming solar radiation as a function of slope aspect. This phenomenon has long been recognized in geomorphology and mostly studied in catchments where may have a wide range of spatial heterogeneity in climate forcing and underlying lithology. The formation age and the size of the catchments add another level of complexity and uncertainty due to the fluctuations in prevailing climate and lithological differences in the studied catchments. However, cinder cones are natural laboratories to better understand the eco-hydro-geomorphic evolution resulted from the nonlinear interactions between vegetation, climate, and soil due to their small size, uniform lithology, well-constrained initial morphology, and relatively young age. The Sandal Divlit cinder cone located in the Kula volcanic field, western Turkey, is an inactive volcano and formed in the last stage of volcanism in the region. The climax vegetation in the primary succession following the volcanic eruption is observed on the north-facing slopes which host trees. The north-facing slopes have relatively deeper soils than south-facing slopes where host sparsely herbaceous plants and shrubs associated with thin and weakly developed soils. Airborne-LiDAR surveys and the digital elevation models having 5 m and 12.5 m spatial resolution were used to analyze the geomorphic descriptors and canopy structure of the cone as a function of aspect. The results show that north-facing slopes are steeper than south-facing ones due to better erosion protection as a result of denser vegetation. Despite its young age (<30 ka), the cone has developed topographic asymmetry and is imprinted with the signature of aspect-related vegetation difference. This finding is further evaluated and with the results of landscape evolution models to assess the role of microclimate due to vegetation on the development of asymmetric geomorphological features.

This study has been produced benefiting from the 2232 International Fellowship for Outstanding Researchers Program of the Scientific and Technological Research Council of Turkey (TUBITAK) through grant 118C329. The financial support received from TUBITAK does not indicate that the content of the publication is approved in a scientific sense by TUBITAK.

How to cite: Yetemen, O., Avcioglu, A., Celik, Y. S., Simsek, I., Kolbuken, M., Yeo, I.-Y., Chun, K. P., Gorum, T., and Sen, O. L.: Eco-hydro-geomorphic evolution of the Sandal Divlit cinder cone, Kula, Turkey, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12374, https://doi.org/10.5194/egusphere-egu22-12374, 2022.

EGU22-13249 | Presentations | SSS10.1

Erosion controls vegetation recolonization in Draix-Bleone badlands 

Caroline Le Bouteiller and Sebastien Klotz

Vegetation and erosion interact with each other through a variety of processes, contributing to the formation and evolution of landscapes. The present work focuses on the humid badlands of Draix-Bleone observatory, in the French Alps. In this observatory, long-term records of hydrology and sediment fluxes are available for several catchments of varying size and vegetation cover. We aim to characterize and quantify the interactions between vegetation and erosion in these badlands.

One the one hand, we previously found that vegetation, where it is able to maintain, strongly limits badland erosion. On the other hand, vegetation recolonization has been observed over the last decades and we hypothesize that this growth is controlled by topographic and erosive mechanisms.

We use aerial images for several dates in the Laval catchment of size 0.86 km2. We classify each image to map vegetation cover and compare the extent of vegetation cover from one date to the other. We then extract the newly vegetated areas and search for environmental factors that can explain why these areas have been colonized rather than others. We combine factors such as slope and drainage area that are related to erosive processes, to biological factors that relate to the dispersion and colonization capacity of previously existing vegetation.

Preliminary findings indicate that vegetation has mainly recolonized areas that are in the vicinity of existing vegetation patches and with low to intermediate slopes. No effect of aspect is found. This suggests that recolonization is limited by erosive processes, but not by water availability.

How to cite: Le Bouteiller, C. and Klotz, S.: Erosion controls vegetation recolonization in Draix-Bleone badlands, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13249, https://doi.org/10.5194/egusphere-egu22-13249, 2022.

EGU22-13269 | Presentations | SSS10.1

Topsoil SOC stocks in Pyrenean snowbeds 

Núria Roca, Estela Illa, Roser Pla, Melissa Guinot, and Josep Maria Ninot

Snowbed ecosystems in temperate mountains are threatened by surrounding chionophilous grasslands, triggered by the longer growing season and higher temperatures induced by climate change. Such vegetation shift would imply future changes in edaphic biogeochemical processes that could modify CO2 emissions. To assess the role of snowbeds in terms of carbon storage, we sampled three soil profiles along the snowmelt gradient under different vegetation types (grassland and snowbed) and species (the dwarf shrub Salix herbacea and the dominant grass at plot level) in three non-calcareous Pyrenean localities. We measured soil organic carbon (SOC), pH, bulk density and texture. The soils studied were characterized by low pH and high total soil organic carbon (TOC), which is more abundant at early snowmelting profiles and at the topsoil. Soils on shales had the highest TOC mean values and the lowest variability (10.7%±0.11 at the topsoil), although no significant differences were observed between plots under different vegetation types. SOC stock was between 18-46 MgC·ha− 1 at the first 5 cm of early snowmelting topsoil with Salix herbacea, whereas at the late snowmelting topsoil with grasses it was between 17-37 MgC·ha− 1. Our results show that TOC is mainly explained by the situation along the snowmelt gradient, soil depth, and parent material, and suggest that changes in snow cover duration will translate into higher TOC accumulation in current snowbed patches.

How to cite: Roca, N., Illa, E., Pla, R., Guinot, M., and Ninot, J. M.: Topsoil SOC stocks in Pyrenean snowbeds, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13269, https://doi.org/10.5194/egusphere-egu22-13269, 2022.

EGU22-13346 | Presentations | SSS10.1

Trait-based modeling of microbial carbon turnover in the rhizosphere 

Ahmet Sircan, Mona Giraud, Guillaume Lobet, Andrea Schnepf, Thilo Streck, and Holger Pagel

Exudation of organic carbon triggers complex spatial and temporal patterns of biophysical and biochemical processes in the root-influenced soil (rhizosphere). We use process-based modeling as a tool to gain insights into microbial interactions and carbon cycling in the rhizosphere. Here, we present a trait-based rhizosphere model that accounts for two different functional microbial groups (copiotrophs, oligotrophs) that differ according to life-history strategies, microbial physiology (e.g., dormancy) and carbon turnover (small and large polymers). The model is calibrated and validated against experimental data from the literature. We apply a parameter search algorithm that identifies plausible parameter spaces by conditioning model outputs to parameter and process constraints that reflect current ecological knowledge. We show the general concept of the model, first simulations after model conditioning, and a concept for coupling the rhizosphere model with the structural-functional plant model CPlantBox to cover the whole-plant scale.

How to cite: Sircan, A., Giraud, M., Lobet, G., Schnepf, A., Streck, T., and Pagel, H.: Trait-based modeling of microbial carbon turnover in the rhizosphere, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13346, https://doi.org/10.5194/egusphere-egu22-13346, 2022.

EGU22-5039 | Presentations | SSS10.2

Using random walks to characterize local geometry and connectivity in 3D soil pore networks 

Juan José Martin Sotoca, Antonio Saa-Requejo, Sergio Zubelzu, and Ana María Tarquis

Analyzing the spatial features of soil pore networks is very important to obtain different parameters that will be useful in obtaining simulation models for a range of physical, chemical, and biological soil processes. Over the last decade, technological advances in X-ray computed tomography (CT) have improved the reconstruction of natural porous soils at very fine scales. Delimiting the pore network (pore space) by different binarization methods can result in different spatial distributions of pores influencing the connectivity and geometry parameters used in the simulation models [1].

The 3D Combining Singularity-CV method is applied in this work. It combines the Singularity – CV (Concentration Volume) method [2] and a global one (the Maximum Entropy method) to improve 3D pore space detection [3].

Random walks have been applied in global soil pore networks to obtain parameters such as spectral dimensions or tortuosity to explain the diffusion processes better [4,5]. In this work, random walks are locally applied to obtain information about the local geometry and connectivity in 3D pore networks for the first time. The results show what is gained in this local analysis that at the global scale is missing. 

References:
[1] Sezgin, M., Sankur, B. (2004). Survey over image thresholding techniques and quantitative performance evaluation. J. Electron. Imaging 13 (1), 146–165. https://doi.org/10.1117/1.1631315.
[2] Martín-Sotoca, J.J., Saa-Requejo, A., Grau, J.B. and Tarquis, A.M. (2018). Local 3D segmentation of soil pore space based on fractal properties using singularity maps. Geoderma, vol. 311, February 2018, pp 175-188. http://dx.doi.org/10.1016/j.geoderma.2016.11.029.
[3] Martín-Sotoca, J.J., Saa-Requejo, A., Grau, J.B., Paz-González, A., and Tarquis, A.M. (2018). Combining global and local scaling methods to detect soil pore space. J. of Geo. Exploration, vol. 189, June 2018, pp 72-84. http://dx.doi.org/10.1016/j.gexplo.2017.06.017.
[4] Tarquis, A.M., Sanchez, M.E., Antón, J.M., Jimenez, J., Saa-Requejo, A., Andina, D. and Crawford, J. W. (2012). Variation in Spectral and Mass Dimension on Three-Dimensional Soil Image Processing. Soil Science: February 2012 - Volume 177 - Issue 2 - p 88-97. doi: 10.1097/SS.0b013e31824111b6.
[5] T.G. Tranter, M.D.R. Kok, M. Lam and J.T. Gostick. (2019). Pytrax: A simple and efficient random walk implementation for calculating the directional tortuosity of images. SoftwareX 10, 100277. https://doi.org/10.1016/j.softx.2019.100277

Acknowledgements:
The authors acknowledge the support from Project No. PGC2018-093854-B-I00 of the "Ministerio de Ciencia, Innovación y Universidades" of Spain and the funding from the “Comunidad de Madrid” (Spain), Structural Funds 2014-2020 512 (ERDF and ESF), through project AGRISOST-CM S2018/BAA-4330.

How to cite: Martin Sotoca, J. J., Saa-Requejo, A., Zubelzu, S., and Tarquis, A. M.: Using random walks to characterize local geometry and connectivity in 3D soil pore networks, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5039, https://doi.org/10.5194/egusphere-egu22-5039, 2022.

EGU22-5164 | Presentations | SSS10.2

Hierarchical Soil Classification using Gaussian Processes 

Thomas Gläßle, Kerstin Rau, Thomas Scholten, and Philipp Hennig

The goal of this work is to perform soil classification with uncertainty quantification for a structured treatment of the output classes. Uncertainty can help in this setting to make predictions more informative with regard to class relationships. This is of particular interest due to the often highly related nature of the distinguished soil types. Incorporating knowledge about class structure into the model also provides opportunity for improving the model accuracy. Our main focus, however, is to enable modellers to better understand and work with this structure during analysis.
For example, post-hoc aggregation of class labels into supersets facilitates applications such as letting the model choose an ontological level on which it can confidently distinguish the output class. It can likewise be used to determine the combined probability of specified classes that share a property of interest.
Technically, this works by learning a latent Gaussian distribution, for example using a Gaussian Process model, and mapping it to a distribution over the class probabilities. We demonstrate this approach, explore possible applications for exploiting uncertainty information, in particular with regard to the class hierarchy, and compare the performance of different model variants in terms of accuracy and calibration.

How to cite: Gläßle, T., Rau, K., Scholten, T., and Hennig, P.: Hierarchical Soil Classification using Gaussian Processes, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5164, https://doi.org/10.5194/egusphere-egu22-5164, 2022.

EGU22-5507 | Presentations | SSS10.2 | Highlight

Comparing prediction algorithms in FTIR-based chemometric analysis to predict soil variables within centuries-old charcoal rich Technosols 

Shaghayegh Ramezany, Alexander Bonhage, and Thomas Raab

As an alternative to the costly wet chemical analysis of soil, Machine Learning (ML) algorithms can be applied for the quantification of soil properties through prediction models. In this study, we evaluate the performances of the Random Forest (RF) algorithm and Partial Least Square Regression (PLSR), in the prediction of soil variables, including CEC, pH, total contents of C and N as wells as other elements (Al, Fe, Ca, Mn, Mg, K, and Na) based on FTIR-spectra of Relict Charcoal Hearth (RCH) soils and reference forest soils (Non-RCH). We investigate the effect of high quantities of charcoal in the soil on the prediction models. Preliminary results suggest that there is no significant difference in the results of prediction models for total N, C, and Fe contents, while the accuracy of PLSR in the prediction of pH, Mg, and Ca, and RF performance in prediction of pH and C decreased for RCH soils. Both algorithms demonstrate higher accuracies in the prediction of Al within the RCH soils. Prediction of CEC, Na, K, Mg (RF) within the RCH soils, Al (PLSR) for Non-RCH soils, and Mn and Ca (RF) for both soil types resulted in lower quality of predictions. 

It can be inferred from the results that the performance of FTIR-based prediction models can be affected by the presence of charcoal in soil due to the nature of spectral features reflecting the soil composition. The presence of charcoal in soil likely alters the absorption interference and peak overlaps, which can result in lower accuracy of the prediction models. In addition to the accuracy of the prediction models, we evaluate the reliability of the weighted wavenumbers (as important variables) in each prediction, which provides information about the correlation of spectral features and chemical properties. It can be studied through the Variable Importance Plot in RF and Variable Importance on Projection through PLSR (VIPs), which show high potential for studying soil composition and metal distribution in mineral and organic soil fractions despite the observed weaknesses in weighing wavenumbers in predictions. Therefore, we assess and compare the quality of information gained regarding soil chemical properties from the algorithms besides a sole quantification of soil parameters. Furthermore, we applied the developed prediction models on a large number (n > 600) of FTIR-spectra of RCH soils to investigate the practical application of the models and thereby compare spectral derived chemical properties of the studied Technosols and reference forest soils.

How to cite: Ramezany, S., Bonhage, A., and Raab, T.: Comparing prediction algorithms in FTIR-based chemometric analysis to predict soil variables within centuries-old charcoal rich Technosols, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5507, https://doi.org/10.5194/egusphere-egu22-5507, 2022.

EGU22-7901 | Presentations | SSS10.2

Relations between multifractal soil pore characteristics and soil properties. A case study in coastal saline soils. 

Xiaoqin Sun, Ana Tarquis, Dongli She, Xiao Han, Hongde Wang, and Shengqiang Tang

Soil salinization is one of the significant constraints to food security. Anthropogenic activities such as improper agricultural practices and poor drainage systems can accelerate salinization. The reclamation of these saline areas, such as the coastal areas in Jiangsu province (China), is vital to produce sufficient food, fodder, and fibre sustainably.

Soil washing was applied at Rudong location (Jiangsu) in 2007 as a method of soil reclamation. The monitoring of coastal saline soil improvement at three different depths (0-20, 20-40, 40-60 cm) has been followed through physical, chemical, and biological measures.

At the same time, soil samples collected by plastic rings were scanned, obtaining a central region of interest (ROI) of 512×512×512 voxels. These grey images, and their binary images, were analyzed in 2D and 3D using multiscaling techniques extracting standard multifractal parameters.

The results found different relationships between laboratory measures and image analysis parameters in which soil depth influences. Grey images parameters showed a stronger relation compared to binary images.

ACKNOWLEDGEMENTS

This research has been partially founded by the National Natural Science Foundation of China through Grant no. 42177393, MICINN through project no. Project No. PGC2018-093854-B-I00 of the Spanish Ministerio de Ciencia Innovación y Universidades of Spain, the funding from the Comunidad de Madrid (Spain), the Structural Funds 2014-2020 512 (ERDF and ESF), through project AGRISOST-CM S2018/BAA-4330.

How to cite: Sun, X., Tarquis, A., She, D., Han, X., Wang, H., and Tang, S.: Relations between multifractal soil pore characteristics and soil properties. A case study in coastal saline soils., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7901, https://doi.org/10.5194/egusphere-egu22-7901, 2022.

EGU22-9222 | Presentations | SSS10.2 | Highlight

Stakeholder interpretation of probabilistic representations of uncertainty in spatial information: an example on the nutritional quality of staple crops 

Christopher Chagumaira, Patson Nalivata, Joseph Chimungu, Dawd Gashu, Martin Broadley, Alice Milne, and Murray Lark

Spatial information, inferred from samples, is needed for decision-making but is uncertain. One way to convey uncertain information is with probabilities (e.g., that a value falls below a critical threshold). We examined how different professional groups (agricultural scientists or health and nutrition experts) interpret information, presented this way when making a decision about interventions to address human selenium (Se) deficiency. The information provided was a map, either of the probability that Se concentration in local staple grain falls below a nutritionally-significant threshold (negative framing) or of the probability that grain Se concentration is above the threshold (positive framing). There was evidence for an effect of the professional group and of framing on the decision process. Negative framing led to more conservative decisions; intervention was recommended at a smaller probability that the grain Se is inadequate than if the question were framed positively, and the decisions were more comparable between professional groups under negative framing.  Our results show the importance of framing in probabilistic presentations of uncertainty, and of the background of the interpreter. Our experimental approach could be used to elicit threshold probabilities that represent the preferences of stakeholder communities to support them in the interpretation of uncertain information.

How to cite: Chagumaira, C., Nalivata, P., Chimungu, J., Gashu, D., Broadley, M., Milne, A., and Lark, M.: Stakeholder interpretation of probabilistic representations of uncertainty in spatial information: an example on the nutritional quality of staple crops, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9222, https://doi.org/10.5194/egusphere-egu22-9222, 2022.

The study aims to identify and systematise objective and subjective factors that lead to ambiguities in graphical constructions, which affects the accuracy of the interpretation of the preconsolidation pressure σp. Objective factors do not depend on the operator conducting graphical constructions. Subjective factors presuppose any mental activity of the operator regarding the conduct of graphical constructions (determination of points and segments, drawing lines, tangents and secants, their intersections), preliminary evaluation of the result and the establishment of the need to repeat the construction.
The tests were performed on ground pastes of a fluid consistency with a given σp. Clay slurries were made from moraine and fluvioglacial soils selected in Salaryevo (Moscow, Russia). A series of 12 oedometric tests with incremental loading, unloading, reloading and unloading was carried out. Then the obtained data were processed by ten methods (Casagrande, Pacheco Silva, Burland, Boone, bi-logarithmic, Becker, Nagaraj & Shrinivasa, Senol & Saglamer, Wang & Frost, Butterfield). The methods considered in this study are based on the dependence of deformation on applied stresses. For each method, the set and received values were compared. In data processing, the influence of graphical constructions on the obtained result was evaluated. It turned out that almost all methods have approximately the same accuracy, and the relative error does not exceed 8,8 %. At the same time, the discretisation makes the most significant contribution to the accuracy of measurements. From the obtained results, it is recommended to reduce the steps or approximate the obtained points with analytical curves.
Objective factors affecting the accuracy of graphical constructions are manifested at the stage of sampling, transportation, storage of samples, testing, and subsequent processing of the results. The operator for graphical constructions subjectively selects tangent segments and points most representative in his opinion. The tangent is a subjective factor. Different methods use a different set of tangents for their graphical constructions. The study identified and evaluated the influence of objective factors on subjective factors. For example, in order to correctly draw a tangent to the final section, it is necessary to reliably switch to the normal consolidation line (NCL). For reliable output to the NCL, the maximum load stress must be several times higher than the expected σp. In case of incomplete access to the NCL, σp will be underestimated.
The presented systematisation will help assess the influence of objective and subjective factors and their contribution to the overall error in determining σp and simplify the selection of the most appropriate methods for determining σp.

How to cite: Matveev, V. and Shanina, V.: The systematisation of factors influencing the accuracy of graphical constructions to interpret the preconsolidation pressure, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9936, https://doi.org/10.5194/egusphere-egu22-9936, 2022.

EGU22-10580 | Presentations | SSS10.2

Quantifying the effect of prediction uncertainty from soil spectroscopy on soil management 

Alice Milne, Timo Breuer, Stephan Haefele, Jack Hannam, Richard Webster, and Ron Corstanje

Few studies to date have investigated the effect of uncertainty in soil property estimates from spectroscopy on soil management. In this study we considered the implications for variable rate application of phosphorus (P) and potassium (K) fertiliser. First, the uncertainty in soil available P and K estimates from spectroscopy was quantified as a function of the calibration set size at the field-scale.

Based on the observed variation in P and K in four experimental fields, we simulated 100 realisations per field for an in silico experiment. To simulate the process of sampling soil and predicting fertiliser requirement, we performed sampling on our simulated fields using a spatial coverage design. We added a calibration error to each sample value to simulate the error associated with spectroscopic prediction. Kriging was used to estimate the variation in the soil property of interest. We then computed the fertiliser requirement needed to minimise the expected loss associated with predictions. Here, the expected loss is defined as the difference in profit between applying fertiliser based on the estimated soil nutrient concentration accounting for uncertainty relative to the profit that would be gained from fertiliser application given the true soil nutrient concentration in known. We also accounted for data acquisition costs in computing the expected profit.

Results showed that calibration sample size outweighed the effect of total sample size on the uncertainty associated with predictions. Equally, for the same calibration set size, there were large differences in the kriging variance between total sample sizes. When data acquisition costs were disregarded, the expected loss for available P was particularly affected by the total sample size. For available K, the calibration sample size had a predominant effect on the expected loss. The expected loss showed diminishing returns on investment suggesting that there is an optimum sample size. However, the expected profit was dominated by the costs of sampling and spectroscopy, indicating that currently using spectral methods to inform fertiliser management is not cost effective. That is, no combination of the total- and calibration sample sizes considered would result in a financial gain and could thus be considered optimal. Should costs substantially reduce then spectral methods offer a promising method for informing variable rate management. We conclude that the loss function approach is an appropriate method to assess whether soil spectroscopy is a cost-effective means to inform soil management. We further suggest its application in different case-studies to gain more robust insight in the value of applied soil spectroscopy.

How to cite: Milne, A., Breuer, T., Haefele, S., Hannam, J., Webster, R., and Corstanje, R.: Quantifying the effect of prediction uncertainty from soil spectroscopy on soil management, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10580, https://doi.org/10.5194/egusphere-egu22-10580, 2022.

EGU22-11075 | Presentations | SSS10.2

Communicating Uncertainties in Bi- and Multivariate Distributions 

Benedikt Gräler

Any model we use is an approximation of the real world and associated with some uncertainty about the transition of the model result into the real world. This issue is even stressed in situations where models are used to predict a set of variables over time. A prominent and widely used example are runs of climate models that generate ensembles of possible future paths of our climate including several correlated variables. Typically, these ensembles are presented and assessed in an univariate approach where e.g. spaghetti plots of single variables depict the variability within the future paths. What remains hidden are the dependencies among the variables. As the correlation measures might be ambiguous and summarize the possibly complex dependence structures in a single value, we use the concept of copulas to illustrate the variability of multivariate distributions. Going back to Sklar’s theorem any continuous multivariate distribution can be decomposed into its univariate margins and their copula describing the dependence between the univariate marginals. Copulas can serve two purposes in this context, to model and quantify i) the multivariate variability within the ensemble and ii) the variability in the dependence between the variables among the ensembles.

We illustrate the effect of different copula families on the inherent uncertainties in the ensemble based on synthetic data. Furthermore, we use climate predictions of the current century to identify and study the dependence and its variability in the data set. In order to increase the data and to avoid the expectation that we can do an assessment precisely for each year, the data is grouped by decades. Our approach is illustrated in R and an exploratory analysis is supported through an interactive Shiny application. The Shiny application also serves to communicate the multivariate uncertainty in the data.

How to cite: Gräler, B.: Communicating Uncertainties in Bi- and Multivariate Distributions, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11075, https://doi.org/10.5194/egusphere-egu22-11075, 2022.

EGU22-11144 | Presentations | SSS10.2 | Highlight

Use of vegetation indices for irrigation management in commercial vineyards 

Gema Camacho, Antonio Hueso, Giancarlo Mendoza, Julián Ramos, Ana Tarquis, Maria Gómez del Campo, Pilar Baeza, and Juan López

Water availability in vineyards plays an integral role in the sustainability of high-quality grapes and prevention of devastating crop loses. Stem water potential (Ψstem) reflects consistently vineyard water status, serving as an aid in irrigation management. However, some drawbacks make the Ψstem little used in commercial vineyards. It requires a pressure chamber, contracting a gas supplier, the need for one or two technicians to carry out the measurement, and the small size of the sample obtained limits the use to control large areas that normally present high intra-field variability.

The objective of this work was to establish a relationship between the Ψstem and the hyperspectral vegetation indices. Four irrigation doses were imposed in a commercial vineyard. Ψstem was measured five days during three-time intervals a day in 2019. The data for the calculation of vegetation indices can be taken quickly by means of a multispectral camera mounted on a UAV, be recorded and processed later. Two different indexes were calculated: NDVI and TCARI/OSAVI.

A total of 12 flights have been made, in addition to 320 measured data for the Ψstem, on 5 different dates at three different time intervals (morning, noon and afternoon) during 2019.There was a significant linear correlation (R2 = 0.69, P <0.001) between the TCARI / OSAVI and the Ψstem. Despite the fact that the most widely used is the NDVI, in this study, the TCARI/OSAVI has obtained a tighter adjustment in all cases than NDVI.

The relationship allows estimating the Ψstem from the index (TCARI/OSAVI), which allows the knowledge of the vineyard water status of a larger area, improving the irrigation management in a more functional way for commercial plantations.

ACKNOWLEDGEMENTS

Grant AGL2016-77282-C3-2R funded by MCIN/AEI/ 10.13039/501100011033 and, as appropriate, by “ERDF A way of making Europe”, by the “European Union NextGenerationEU/PRTR”.

This work has been possible thanks to Licinia Wines (Morata de Tajuña, Madrid).

REFERENCES

Cancela, J.J.; Fandiño, M.; Rey, B.J.; Dafonte, J.; González, X.P. (2017). Discrimination of irrigation water management effects in pergola trellis system vineyards using a vegetation and soil index. Agricultural Water Management 183, 70-77. https://doi.org/ 10.1016/j.agwat.2016.11.003

Espinoza, C.Z., Khot, L.R., Sankaran, S., Jacoby, P.W. (2017). High resolution multispectral and thermal remote sensing based water stress assessment in surface irrigated grapevines. Remote Sensing, 9 (9). https://doi.org/10.3390/rs9090961

How to cite: Camacho, G., Hueso, A., Mendoza, G., Ramos, J., Tarquis, A., Gómez del Campo, M., Baeza, P., and López, J.: Use of vegetation indices for irrigation management in commercial vineyards, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11144, https://doi.org/10.5194/egusphere-egu22-11144, 2022.

EGU22-11818 | Presentations | SSS10.2

Discrimination of agro-zones using UAVs platform in a commercial vineyard. Case study of the Merlot variety in Yepes-Toledo. 

Luz Karime Atencia Payares, Iván Rico Prieto, Gema Camacho Alonso, Joaquín Cámara, María Gómez del Campo, and Ana María Tarquis Alfonso

Water is the main constrain for yield in semiarid vineyards, as in Spain. Therefore, effective management of the water resource is a priority to alleviate the instability in productivity and negative socio-economic impacts that the drought phenomena may cause. Vine growers always seek a certain level of water stress in vineyards, increasing wine quality. This target implies monitoring of crop water status during the agronomic campaign.

Traditional methods for field data acquisition involve extensive sampling and time-consuming, destructive and discrete measurements, thus impractical for monitoring large areas and commercial-scale farming. Nonetheless, vineyards are heterogeneous and sparse crop systems with significant intra- and inter-field variability, being soil one of the sources of this variability(Taylor, J., & Bramley, R., 2004). Remote sensing technology is a valuable tool for studying the significant complexity of vineyards agroecosystems. Among the remote sensing techniques, unmanned aerial vehicles (UAVs) have become a technology with affordable operational costs, non-invasive, and high spatial and temporal resolution used in commercial vineyards. UAVs are coupled with multispectral and thermal cameras that acquire aerial images of specific spectral responses of the vegetation and thermal infrared region of the spectrum.

This work aims to study how soil variability influences the monitoring of crop water status through multispectral and thermal infrared sensors installed in the UAV platform. In order to do it, a commercial Merlot variety vineyard located in Yepes, Toledo, was arranged on a trellis with a plantation frame 2.60 x 1.10 m established in 2002. This variety is located in two soil types present distinctive hydraulic properties and different water retention capacity

Canopy temperature and thermal-based indicators from airborne thermal imaging are used to map spatial variability and quantify crop water status. The crop water stress index (CWSI) is one of viticulture's most common water stress indices(Idso, et al., 1981) The normalized difference vegetation index (NDVI) has been proven to represent crop structural characteristics and vigour, correlated to vine water status in environments where soil water deficit is a determinant factor for vine crop(Hall, et al., 2002)

The results point out that the difference between both zones is statistically significant, indicating the role of soil in the water status. Several conclusions are obtained when comparing the physiological parameters.

REFERENCES

  • Hall, A., Lamb, D. W., Holzapfel, B., & Louis, J. (2002). Optical remote sensing applications in viticulture––a review. Australian Journal of Grape and Wine Research, 8, 36–47. doi:10.1111/j.1755- 0238.2002.tb00209.x.
  • Idso, S. B., Jackson, R. D., Pinter, P. J., Reginato, R. J., & Hatfield, J. L. (1981). Normalizing the stressdegree day parameter for environmental variability. Agricultural Meteorology, 24, 45–55.
  • Taylor, J., & Bramley, R. (2004). Precision viticulture: Managing vineyard variability. In R. Blair, P. Williams, & S. Pretorius (Eds.), Proceeding of 12th Australian Wine Industry Technical Conference, Workshop 30B (pp. 51–55). Australia: Melbourne Convention Centre

Acknowledgements: Financial support provided by Comunidad de Madrid through calls for grants for the completion of Industrial Doctorates is greatly appreciated.

How to cite: Atencia Payares, L. K., Rico Prieto, I., Camacho Alonso, G., Cámara, J., Gómez del Campo, M., and Tarquis Alfonso, A. M.: Discrimination of agro-zones using UAVs platform in a commercial vineyard. Case study of the Merlot variety in Yepes-Toledo., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11818, https://doi.org/10.5194/egusphere-egu22-11818, 2022.

EGU22-12482 | Presentations | SSS10.2

Constraint-based parameter sampling to leverage expert knowledge for conditioning soil biogeochemical models 

Holger Pagel, Luciana Chavez Rodriguez, Brian Ingalls, Thilo Streck, Ana Ana González-Nicolás, Wolfgang Nowak, and Sinan Xiao

Mechanistic models facilitate understanding complex biogeochemical interactions and process chains in soil. However, biogeochemical soil models often have weakly constraint parameters and show sloppiness. That means the dimensionality of parameter spaces is overly large and parameters often cannot be inferred based on available experimental data. Thus, equifinality arises, i.e. many different parameter combinations lead to very similar or identical model predictions.
Expert knowledge represents a synthesis of existing knowledge on processes in soil systems that can be used to find viable parameter regions such that models give plausible predictions in line with evidence-based expectations. Here, we present an approach to leverage expert knowledge. This is achieved by formulating expert knowledge in terms of parameter and process constraints that must be fulfilled. Viable parameter sets are then identified by model conditioning using a novel Bayesian constraint-based parameter search algorithm that extends a previously published iterative constraint-based parameter search method. The algorithm successively applies stricter conditions by increasing the minimum acceptable number of process constraints to be satisfied in each iteration.
We present the concept of the algorithm and demonstrate a successful application to a complex model simulating biodegradation of the herbicide Atrazine that has a high-dimensional parameter space. The presented approach can be widely applied to other soil biogeochemical models and provides a powerful tool to leverage expert knowledge for constructing robust prior parameter distributions for model sensitivity analysis or calibration.

How to cite: Pagel, H., Chavez Rodriguez, L., Ingalls, B., Streck, T., Ana González-Nicolás, A., Nowak, W., and Xiao, S.: Constraint-based parameter sampling to leverage expert knowledge for conditioning soil biogeochemical models, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12482, https://doi.org/10.5194/egusphere-egu22-12482, 2022.

EGU22-13157 | Presentations | SSS10.2

Quantifying soil complexity using Fisher Information of 3d X-ray CT scan images 

Borko Stosic, Jose Albuquerque-Aguiar, Romulo Menezes, Antonio Dantas-Antonino, Tatijana Stosic, and Ana M. Tarquis

Degradation of soils due to land use change driven by economic factors represents a major concern in many parts of the world. Important questions regarding soil degradation demand further efforts to better understand the effect of land use change on soil functions. With the advent of 3d Computer Tomography techniques and computing power, new methods are becoming available to address these questions. In this work, we investigate how land use change affects soil structure by using information theory to quantify the complexity of soil 3d X-ray CT soil samples in northeastern Brazil. We implement the Fisher-Shannon method, borrowed from information theory, to quantify the complexity of 14 3d CT soil samples from native Atlantic forest sites, and15 samples from nearby sites converted to sugarcane plantation. The distinction found between the samples from the Atlantic forest and the sugarcane plantation is found to be quite pronounced. The discrimination results at the level of 89.6% accuracy were obtained in terms of Fisher information measure (FIM) alone, and 93% level accuracy was attained considering the complexity in the Fisher Shannon plane (FSP). Atlantic forest samples are found to be generally more complex than those from the sugar plantation. The approach introduced in the current work does not use arbitrary parameters, and it provides a rather precise quantitative FSP complexity measure, that may be seen as a quantifier of soil degradation level.

How to cite: Stosic, B., Albuquerque-Aguiar, J., Menezes, R., Dantas-Antonino, A., Stosic, T., and Tarquis, A. M.: Quantifying soil complexity using Fisher Information of 3d X-ray CT scan images, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13157, https://doi.org/10.5194/egusphere-egu22-13157, 2022.

EGU22-13174 | Presentations | SSS10.2

A Fractal Approach to Evaluate Biological Soil Crust in Arid and Semiarid Ecosystems 

Adriana Florentino, Abelardo Ospina, and Ana María Tarquis

Biological soil crusts (BSC) are an integral part of dryland ecosystems and  They are intimate association between soil particles and diverse microorganism, including cyanobacteria, algae, lichen and bryophites, which live on the uppermost millimeters of soil. The successional stage of BSCs cause changes in soil surface conditions such as soil stability, soil aggregate stability and roughness, and affects some ecosystem processes including nutrient cycling, erosion, runoff, water retention and increase carbon secuestration.
Fractal dimension can be associated with the roughness of a surface represented by a digital image. Because surface roughness is so related to scale and to BSCs successional stage, a fractal analysis is worth pursuing and it would give realistic results. In order to differentiate the successional stages of  BSCs in quantity, we determined several fractal parameters in a series of different developmental BSCs in a tropical semiarid region of Venezuela. A progressive  classification of soil crust type from incipient crust through various BSCs successional stages were selected in two semiarid ecosystems (Quibor and Ojo de agua) in the Quibor Depression, Venezuela. This study focus on characterize the development stage of the BSC based on Fractal image analysis.
To this end, grayscale images of different biological soil crust at different successional stages were taken, each image corresponding to an area of 12.96 cm2 with a resolution of 1024x1024 pixels. For each image lacunarity and fractal dimension through the differential box counting method were  calculated, using the software ImageJ/Fraclac. Fractal dimension and lacunarity could be good descriptors of BSCs successional stages, and could be very useful in a further exploration of the link between the BSCs successional stages and other soil properties.

How to cite: Florentino, A., Ospina, A., and Tarquis, A. M.: A Fractal Approach to Evaluate Biological Soil Crust in Arid and Semiarid Ecosystems, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13174, https://doi.org/10.5194/egusphere-egu22-13174, 2022.

EGU22-13177 | Presentations | SSS10.2

Hust Index applied in the soil resistance measurements based on a harrow discs sensors 

Serafin López-Cuervo, Francisco Lamas López, Miren Bakarne Lazcano Lasa, Antonio Saa-Requejo, Juan J. Martín-Sotoca, Enrique Pérez Martín, Juan López Herrera, Jose Gabriel Caso Diaz-Aguilar, and Ana M. Tarquis

The mechanical conditions of the soil is essential for the planning and implementation of agricultural tillage. Determining the variability of the soil by sensors helps to optimize the intensity of the use of tillage components, control their wear and improve the energy consumption of the operation. This work presents the development of hardness and plasticity parameters by means of sensors implanted in tillage components such as harrow discs. The vibration measurement by an electronic sensor integrated in a harrow disc is packaged and sent to a control node where it is transformed to the frequency space and parameterized through the power spectral density (PSD). The energy analysis makes it possible to establish the variability of the terrain in degrees of hardness and plasticity; and thereby determine differential harrow management or plot mapping for decision making.

Lately, a Detrended Flucutation Analysis (DFA) of Hurst Index on these series were applied for first time. The presistence and antipersistant character of the Hurst index can help to identify the  hardeness of the plot analysed. Results are showed comparing different soil texture and soil humidity scenarios.

How to cite: López-Cuervo, S., Lamas López, F., Lazcano Lasa, M. B., Saa-Requejo, A., Martín-Sotoca, J. J., Pérez Martín, E., López Herrera, J., Caso Diaz-Aguilar, J. G., and Tarquis, A. M.: Hust Index applied in the soil resistance measurements based on a harrow discs sensors, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13177, https://doi.org/10.5194/egusphere-egu22-13177, 2022.

EGU22-13272 | Presentations | SSS10.2

Influence of pyrolysis temperature in the pore size distribution of biochar 

Gabriel Gascó Guerrero, Antonio Saa-Requejo, Ana M. Tarquis, Juan J. Martín-Sotoca, and Ana Maria Méndez

Biochar, the product of pyrolysis of biomass in the absence of oxygen, added to soil, has been explored in the last years to mitigate global warming. The biochar's nature could come from crop and tree residues, urban organic waste materials, and pig slurry, among others. A rising body of work quantifies the effect of pyrolysis conditions, mainly temperature, on chemical and physical biochar properties. One of these characteristics is porosity that is related with properties as water holding capacity. Besides quantifying the macro and micro-porosity, other parameters can be extracted from the pore size distribution (PSD). This work aims to extract scaling parameters from it to differentiate the biochar properties.

Biochars were prepared  from pig manure at three different pyrolysis temperatures: 300 (BPC-300), 450 (BPC-450) and 600ºC (BPC-600). Mercury injection porosimeter (MIP) was used to determine PSD of biochar for equivalent pore diameter from 1 mm to 0.005 mm. 

The multifractal formalism was employed to extract the scaling parameters. Mass exponent function and multifractal spectra showed that this method is suitable for mercury injection curves. The results show that with higher temperature applied in the pyrolysis process to obtain the biochar, the PSD multifractal characteristics decrease, pointing out a lower complexity in the PSD.

How to cite: Gascó Guerrero, G., Saa-Requejo, A., Tarquis, A. M., Martín-Sotoca, J. J., and Méndez, A. M.: Influence of pyrolysis temperature in the pore size distribution of biochar, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13272, https://doi.org/10.5194/egusphere-egu22-13272, 2022.

EGU22-13526 | Presentations | SSS10.2

Generalized Structure Function applied to Soil Water Content during surface and subsurface drip irrigation in a loamy soil. 

Leonor Rodriguez-Sinobas, Sergio Zubelzu, Juan Jose Martín-Sotoca, and Ana Maria Tarquis Alfonso

The spatial variability of soil water content (SWC) and its temporal evolution are two essential factors to optimize the irrigation efficiency. This work presents an application of the Generalized Structure Function (GSF) to analyse the SWC evolution during two types of drip irrigation: surface and subsurface. In this way, we will compare both types of irrigation.

The GSF has been normally applied on time series. In our context we have used is on transect series of SWC measured at two different soil depth and at different times. From this type of analysis, two parameters are calculated: Hurst Index (HI) and Multifractality (DH). A set of experimental runs were performed in two irrigated plots with either surface or subsurface drip irrigation. SWC was estimated through the cumulative temperature (Tcum) from a Distributed Temperature Sensor (DTS) recordings aided by the Active Heated Fiber Optic (AHFO) technique. The fiber optic cable was deployed at 5 and 25 cm underneath the soil in both plots. Soil was a loamy sand textures (77% sand, 16% loam and 7% clay), 982 kg·m-1 bulk density, 3.67 mm·min-1 saturated hydraulic conductivity and 62% porosity.

The SWC evolution during the experiments in subsurface irrigation presented an HI around 0.50 (random) and more constant than in surface irrigation. The spatial and temporal variability of data revealed a HI>0.50 (persistent character) at the upper layer of the surface irrigated plot caused by the unequal distribution of ponded water around certain emitters and a subsequent anti-persistent character (HI<0.50) at the bottom because of the heterogeneous infiltration. The DH values estimated from surface irrigated plot with wider variation range that those from subsurface irrigated and greater similarity between both depths in the subsurface irrigated plot.

The results are discussed from an agronomic point of view providing an insight into the required adaptation of both irrigation water depths and frequency to avoid water loss in either surface or subsurface irrigation systems.

How to cite: Rodriguez-Sinobas, L., Zubelzu, S., Martín-Sotoca, J. J., and Tarquis Alfonso, A. M.: Generalized Structure Function applied to Soil Water Content during surface and subsurface drip irrigation in a loamy soil., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13526, https://doi.org/10.5194/egusphere-egu22-13526, 2022.

EGU22-361 | Presentations | SSS10.4

Mapping soil texture with airborne gamma ray spectroscopy 

Andrea Maino, Matteo Alberi, Emiliano Anceschi, Enrico Chiarelli, Luca Cicala, Tommaso Colonna, Mario De Cesare, Enrico Guastaldi, Nicola Lopane, Fabio Mantovani, Nicola Martini, Michele Montuschi, Silvia Piccioli, Kassandra Giulia Cristina Raptis, Antonio Russo, Filippo Semenza, and Virginia Strati

Soil texture is a key information in precision agriculture for improving soil knowledge and crop performances. A precise mapping of its variability is thereby imperative for rationally planning cultivations and targeting interventions. Unlike direct soil texture measurements that are punctual, destructive, and time-consuming, remote sensing surveys can give widespread, non-invasive, and fast indirect evidence of clay, silt, and sand content. In this study we investigate the performance of Airborne Gamma Ray Spectroscopy (AGRS) for discriminating different texture classes in the ternary diagram of soil texture.

The Mezzano valley (Ferrara, Italy), a 180 km2 rural area reclaimed in the last century, represents an extraordinary benchmark for validating our method. This area, for which a public soil texture map at 1:50000 scale and a spatial resolution of 500 m is available, was scanned by an AGRS system mounted on a dedicated aircraft. The aircraft flew over the study area in a grid-like path of ~500 m spacing, collecting 1469 geolocalized spectra. The K and Th punctual measurements were spatially interpolated by Ordinary Kriging to elaborate K and Th maps with the identical spatial resolution of the soil texture map. Simple and multiple linear correlations, as well as a non‑linear Machine Learning algorithm, were then performed between gamma and soil texture data.

The obtained results by a simple linear regression analysis highlight a moderate positive (negative) correlation between clay (sand) content and K and Th abundances. Multiple linear regressions show a similar trend, with the limitation that the calculated clay, silt, and sand values populate the soil texture ternary diagram in a straight line. Finally, we demonstrate that the most accurate reconstruction of soil texture values is obtained by a non-linear fitting based on the Machine Learning algorithm.

How to cite: Maino, A., Alberi, M., Anceschi, E., Chiarelli, E., Cicala, L., Colonna, T., De Cesare, M., Guastaldi, E., Lopane, N., Mantovani, F., Martini, N., Montuschi, M., Piccioli, S., Raptis, K. G. C., Russo, A., Semenza, F., and Strati, V.: Mapping soil texture with airborne gamma ray spectroscopy, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-361, https://doi.org/10.5194/egusphere-egu22-361, 2022.

The evaluation of shale gas in place by adsorption and free gas is critical for future shale gas reserves development. Laboratory experiments suggest that approximately 50% of the stored shale gas is adsorbed onto the kerogen. Molecular simulation researches suggest methane adsorption capacity increases with the increasing maturity of kerogen. Understanding how thermal maturity controls methane adsorption in kerogen is crucial for predicting shale gas resources. Although porosity and chemical surface functionalities (sorption sites) are the main difference between kerogens with different maturity, the study of their impact on methane adsorption via both simulation and experiment methods is in the preliminary stage.

The comparison of molecular simulations on Type II kerogen matrix with slit models and laboratory experiments on isolated kerogens are carried out to illustrate their impact on methane adsorption in kerogen with different maturity, and reveal the predominant controlling factor. Grand Canonical Monte Carlo (GCMC) and molecular dynamic (MD) simulations are applied to obtain simulation results, including the micropore texture, methane adsorption capacity, and adsorption behavior. Laboratory experiments, high-pressure methane adsorption, low-pressure gas sorption, scanning electron microscopy, and Transmission Electron Microscope, are carried out on isolated kerogens for verifying and comparing with simulation results.

The results indicate micropore volume (Vmicro) and equilibrium methane adsorption amount (Qm) of isolated kerogens (10-75 mm3/g TOC, and 21.3-75.8 mg/g TOC) are comparable with simulated overmature (KIID) matrix and slit kerogens (19-261 mm3/g TOC, and 36.5-148 mg/g TOC). The higher results from the simulation are due to the pore interconnectivity is not considered in simulated kerogens. Both experiment and simulation suggest Type I (a) isotherms are contributed by small micropores, and Type I (b) isotherms are contributed by larger micropores. The methane adsorption capacity of the kerogen matrix increases with increased maturity and decreases with increased temperature. A positive correlation between Vmicro and Qm is observed with R2>0.96. The relative number density and relative coordination number of methane around functional groups at 25 and 100 °C from molecular dynamic (MD) simulation show methane only have selectivity with few functional groups at very low pressure (<1.6 bar at 25 °C), and the affinity becomes close and weaker at higher pressure. Moreover, similar adsorption heats (23.2, 23.1, 23.5, 22.8 KJ/mol) of methane with different maturity kerogens are observed, showing the interactions between methane and different kerogens are close. Therefore, the impact of functional groups on the methane adsorption capacity is minimal, especially in high-pressure conditions, and micropore is regarded as the key control for methane adsorption.

How to cite: Li, W., Stevens, L., Zheng, D., and Snape, C.: A molecular simulation and laboratory characterization study of micropore and sorption sites impact on methane adsorption in kerogen, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-758, https://doi.org/10.5194/egusphere-egu22-758, 2022.

EGU22-1618 | Presentations | SSS10.4

Improving SOC predictions from Sentinel-2 soil composites by assessing surface conditions and uncertainties 

Klara Dvorakova, Uta Heiden, Karin Pepers, Gijs Staats, Gera van Os, Florence Ferber, and Bas van Wesemael

SOC prediction from remote sensing is often hindered by disturbing factors at the soil surface, such as photosynthetic active and non-photosynthetic active vegetation, variation in soil moisture or surface roughness. With the increasing amount of freely available satellite data, recent studies have focused on stabilizing the soil reflectance by building reflectance composites using time series of images. Even if SOC predictions from composite images are promising, it is still not well established if the resulting composite spectra mirror the reflectance fingerprint of the optimal conditions to predict topsoil properties (i.e. a smooth, dry and bare soil).  

We have collected 303 photos of soil surfaces in the Belgium loam belt where five main classes of surface conditions were distinguished: smooth seeded soils, soil crusts, vegetation, moist soils and soils covered by crop residues. Reflectance spectra were then extracted from the Sentinel-2 images coinciding with the date of the photos. The Normalized Burn Ratio (NBR2) was calculated to characterize the soil surface, and a threshold of NBR2 < 0.05 was found to be able to separate wet soils and soils covered by crop residues from dry bare soils. Additionally, we found that normalizing the spectra (i.e. dividing the reflectance of each band by the mean reflectance of all spectral bands) allows for cancelling the albedo shift between soil crusts and smooth soils in seed-bed conditions. We then built the exposed soil composite from Sentinel-2 imagery (covering the spring periods of 2016-2021), and used the reflectance information to predict SOC content by means of a Partial Least Square Regression Model (PLSR) with 10-fold cross-validation. The uncertainty of the models (expressed as q0.05+q0.95/q0.50) was assessed via bootstrapping, where each model was repeated 100 times with a slightly different calibration dataset. The cross validation of the model gave satisfactory results (R² = 0.49 ± 0.10, RMSE = 3.4 ± 0.6 g C kg-1 and RPD = 1.4 ± 0.2). The resulting SOC prediction maps show that (1) the uncertainty of prediction decreases when the number of scenes per pixel increases, and reaches a minimum when more than six scenes per pixel are used (median uncertainty of all pixels is 28% of predicted SOC value) and (2) the uncertainty of prediction diminishes if SOC predictions are aggregated per field (median uncertainty of fields is 22% of predicted value). The results of a validation against an independent data set showed a median difference of 0.5 g C kg-1 ± 2.8 g C kg-1 SOC between the measured and predicted SOC contents at field scale. Overall, this compositing method shows both realistic SOC patterns at the field scale and regional patterns corresponding to the ones reported in the literature.

How to cite: Dvorakova, K., Heiden, U., Pepers, K., Staats, G., van Os, G., Ferber, F., and van Wesemael, B.: Improving SOC predictions from Sentinel-2 soil composites by assessing surface conditions and uncertainties, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1618, https://doi.org/10.5194/egusphere-egu22-1618, 2022.

EGU22-2284 | Presentations | SSS10.4

An assessment of Random Forest wrappers for selecting important features of spectroscopy data in the modelling of soil properties 

Francisco M. Canero, Aaron Cardenas-Martinez, David Aragones, and Victor Rodriguez-Galiano

Soil properties could be assessed with reflectance spectroscopy (soil spectroscopy, SS) in vis-NIR region (400-2500 nm) through absorption features found in soil spectra. A high spectral resolution (up to 1 nm) drives to high dimensional and multicollinear data. This issue is usually addressed prior to modelling with feature extraction methods such as Principal Component Analysis, or embedded methods such as Partial Least Squares Regression (PLSR). Feature Selection (FS) wrapper methods are promising dimensionality reduction approaches barely used in SS. The objective of this study was two-fold: i) evaluate the performance of FS wrapper methods built from Random Forest (RF) algorithm to predict soil organic matter (SOM), clay and carbonates using laboratory spectroscopy, ii) test the performance of FS methods for dimensionality reduction in SS. The reflectance of 100 soil samples from Sierra de las Nieves National Park (Spain), was measured under laboratory conditions using an ASD FieldSpec Pro JR. A spectral preprocessing method, Continumm Removal (CR), was applied to raw spectra. The RF wrapper considered two different feature searching approaches: Sequential Forward Selection (SFS) and Sequential Flotant Forward Selection (SFFS). The performance of RF with FS (RF-FS) was compared to that of Partial Least Squares Regression (PLSR) and RF (without FS). Models were evaluated with R-squared, root mean squared error (RMSE) and ratio of prediction to deviation (RPD).

RF-FS models outperformed PLSR and RF models for the three SAP. RF-FS best models had a RPD of 2.19 for SOM, 1.64 for carbonates and 1.52 for clay, whereas PLSR models had RPD values of 1.59, 1.22 and 1.3, and RF 1.38, 1.23 and 1.23 for SOM, carbonates, and clay, respectively. Therefore, FS was useful in obtaining models with improved accuracy by reducing redundant features and avoiding multicollinearity (Hughes effect). The application of FS wrapper methods reduced the number of features in the RF-FS models to less than 1% of the starting features. Features were selected across all spectra from SOM and clay, and around 900, 1900 and 2350 nm for carbonates. This research, thus, shows an alternative to different feature extraction approaches for modelling soil properties based on FS methods and machine learning.

How to cite: Canero, F. M., Cardenas-Martinez, A., Aragones, D., and Rodriguez-Galiano, V.: An assessment of Random Forest wrappers for selecting important features of spectroscopy data in the modelling of soil properties, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2284, https://doi.org/10.5194/egusphere-egu22-2284, 2022.

EGU22-2445 | Presentations | SSS10.4

Explainable deep neural networks for exploring spatial variability of soil properties in Germany 

Ruhollah Taghizadeh-Mehrjardi and Thomas Scholten

Digital soil mapping approaches predict soil properties based on the relationship between soil observations and related environmental covariates using machine learning models. In this research, we applied deep neural networks to predict the spatial distribution of soil properties in Germany using 1976 soil observations and 170 environmental covariates which are derived from several sources (e.g., remote sensing data). However, a major problem with using deep neural networks is that the exact contribution of environmental covariates in the overall result is unknown. To address this issue and improve the interpretability of deep neural networks, several model-agnostic interpretation tools (i.e., post hoc analyses and techniques) are used to understand previously trained "black-box models" or their predictions. For example, a permutation feature importance technique ranked remote sensing images as the most important predictors to explain the spatial variability of soil organic carbon in the study area. This is the first study to use deep neural networks with explainable algorithms to explore and visualize the spatial distribution of soil properties in Germany.

Keywords: explainable machine learning; deep neural networks; soil properties; Germany

How to cite: Taghizadeh-Mehrjardi, R. and Scholten, T.: Explainable deep neural networks for exploring spatial variability of soil properties in Germany, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2445, https://doi.org/10.5194/egusphere-egu22-2445, 2022.

EGU22-2766 | Presentations | SSS10.4

Spatial prediction of soil type maps with Neural Networks including quantification of model uncertainty 

Kerstin Rau, Thomas Gläßle, Philipp Hennig, and Thomas Scholten

Artificial neural networks (ANN), which are mainly used in pattern and image recognition, have now found a wide range of applications. In recent years, different variants of ANN have also been increasingly used in the geosciences. They have proven to be a useful tool for complex questions that also involve a large amount of data. In their basic form, however, deep-learning algorithms do not provide interpretable predictive uncertainty. In the geosciences in particular, they have been used more as black-box models that require interpretation by an expert or do not allow for specific interpretation. Therefore, we implement in our explorative study on soil classification a Bayesian deep learning approach (i.e. a method to add uncertainty to deep networks) known as last layer Laplace approximation. This is a technique that can be applied as a post-hoc "add-on" without destroying the otherwise good performance of deep classifiers.
Our target soil type variable provides us with a large amount of information about soil processes and properties, which is a great advantage since it would take a lot of time and money to collect all this information individually. At the same time, soil maps are in high demand by authorities, construction companies or farmers. In our study area around Tübingen in southern Germany, there are 39 different soil types, determined according to the German soil systematics, which we consider individually for the prediction, but also combine into superordinate categories with similar properties, which is possible at low computational cost under the Laplace approximation. In addition to the underlying soil map, remotely sensed variables such as satellite imagery, a digital elevation model and its derivatives, and climate data are used as input to the model, which is designed to learn the relationship between these and the soil type.  As a test case, we then explicitly include the Swabian Jura as a prediction region for the environment. This region is characterised by very different soil types due to its extremely different development and the resulting geology, climate and terrain.
Our goal is then to enrich soil type maps with a structured uncertainty, which is estimated to be high in the area of the Swabian Jura. This will help to better understand the causality of machine learning models in soil science and their transferability to regions other than the training and validation area.

How to cite: Rau, K., Gläßle, T., Hennig, P., and Scholten, T.: Spatial prediction of soil type maps with Neural Networks including quantification of model uncertainty, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2766, https://doi.org/10.5194/egusphere-egu22-2766, 2022.

EGU22-3258 | Presentations | SSS10.4

High-resolution soil organic carbon mapping at the field scale in Southern Belgium (Wallonia) 

Yue Zhou, Caroline Chartin, Kristof Van Oost, and Bas van Wesemael

Accurate soil organic carbon content estimation is critical as a proxy for carbon sequestration, and as one of the indicators for soil health. Here, we collected 497 soil samples during 2015 to 2019, as well as five environmental covariates (organic carbon (OC) input, normalized difference vegetation index (NDVI), elevation, clay and precipitation) at a resolution of 30 m, aggregated these to represent agricultural fields and then compiled a soil organic carbon (SOC) content map for the agricultural region of Wallonia using Gradient Boosting Machine. We calculated OC input from both main crops and cover crops for each individual field. As the cover crops do not occur in the agricultural census, we identified cover crops based on long time-series of NDVI values obtained from the Google Earth Engine platform. The quality of the predictions was assessed by independent validation and we obtained an R2 of 0.77. The Empirical Mode Decomposition indicated that OC input and NDVI were the domain factors at field scale, whereas the remainder of the covariates determined the distribution of SOC at the scale of the entire Walloon region. The SOC map showed an overall northwest to southeast trend i.e. an increase in SOC contents up to the Sambre-Meuse valley followed by a decrease further to the South. The map shows both regional trends in SOC and effects of differences in land use and/or management (including crop rotation and frequency of cover crops) between individual fields. The field-scale map can be used as a benchmark and reference to farmers and agencies in monitoring SOC content changes and optimizing decisions for sustainable land use.

How to cite: Zhou, Y., Chartin, C., Van Oost, K., and van Wesemael, B.: High-resolution soil organic carbon mapping at the field scale in Southern Belgium (Wallonia), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3258, https://doi.org/10.5194/egusphere-egu22-3258, 2022.

EGU22-3873 | Presentations | SSS10.4

Prediction of soil organic carbon content using multitemporal Sentinel-2 imagery data and NWP-derived soil moisture over Greek croplands 

João Coblinski, Nikolaos Bartsotas, Nikolaos Tziolas, Nikolaos Tsakiridis, Charalampos Kontoes, and George Zalidis

The intensive use of soil and the non-adoption of optimal management practices leads to the loss of soil organic carbon (SOC) from soil. SOC accumulates in the atmosphere in the form of CO2, thus affecting the global temperature. Numerous studies have been carried out in the monitoring of SOC in exposed croplands at global and regional scales, demonstrating the potential of remote sensing to estimate SOC amongst the disturbance effects encountered on the Earth Observation monitoring that affect the prediction of soil properties, soil moisture ranks within the most important. The current study is driven by the need to eliminate the influence of ambient factors and evaluate the efficiency of multitemporal analysis by leveraging numerical simulations of soil moisture data as an auxiliary variable along with Sentinel-2’s reflectance values. Multi-year high-resolution coupled atmospheric-soil numerical simulations were utilized from BEYOND/NOA’s operational implementation of Weather Research and Forecasting Model (WRF-ARW) on a 2-km grid spacing configuration over Greece. Spectral data were extracted using Sentinel 2 multitemporal imagery (February to December 2020) at the sampling points of the European topsoil dataset provided by the Land Use / Coverage Framework Survey (LUCAS) 2009 and 2015 in Greek croplands with the support of Google Earth Engine, totaling 643 sampling points. After that, bare soil masking was performed, using as a limiting factor the values between 0 and 0.25 to NDVI, NBR2 < 0.08 and the difference between B3 and B2, resulting in 180 sampling points which had exposed bare soil at any given time in the aforementioned period. The SOC prediction was performed using Sentinel 2 multitemporal bands together with soil moisture. Datasets were randomly separated in calibration (75%) and validation samples (25%). Cubist regression algorithm was applied to train predictive models in three separate modeling modes: multitemporal Sentinel-2 bands averages (S2mean), multitemporal Sentinel-2 bands (S2multitemporal) and multitemporal Sentinel-2 bands and soil moisture (S2+M). Model performance to the multitemporal modes (S2 and S2+M) was measured by averaging the predicted values for each sampling point. Mode S2+M achieved the best accuracy among the modes, reaching an R2 of 0.68, RMSE of 9.19 and RPIQ of 1.21 , while the S2multitemporal mode had a R2 of 0.62, RMSE of 9.91 and RPIQ of 1.12 and the S2mean with R2 of 0.31, RMSE of 12.58 and RPIQ of 0.87. The modes with multitemporal data proved to be more powerful for SOC prediction than the mode with average spectral values, due to the large amount of spectral information for each sample. The use of NWP-derived soil moisture as an auxiliary variable improved the performance of SOC estimation, due to the direct influence of soil moisture on SOC rates. Therefore, this study indicates that multitemporal Sentinel-2 imagery and NWP-derived soil moisture information can improve the accuracy of SOC prediction. Further investigation is currently focused upon including additional soil-climate variables as well as test different combinations of thresholds in bare soil masking towards a better performance in the prediction of this soil property.

How to cite: Coblinski, J., Bartsotas, N., Tziolas, N., Tsakiridis, N., Kontoes, C., and Zalidis, G.: Prediction of soil organic carbon content using multitemporal Sentinel-2 imagery data and NWP-derived soil moisture over Greek croplands, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3873, https://doi.org/10.5194/egusphere-egu22-3873, 2022.

EGU22-4311 | Presentations | SSS10.4

Mapping of complex soil properties at global scale 

Laura Poggio, Bas Kempen, Maria-Eliza Turek, Niels H. Batjes, Giulio Genova, Luís M. de Sousa, David Rossiter, and Gerard Heuvelink

Relevant soil information at different scales would greatly help addressing many of the Sustainable Development Goals. Digital Soil Mapping is an established methodology to create maps of soil properties at different resolutions and extents.  Many projects across the globe have provided information on primary soil properties, such as soil textural fractions, soil organic carbon content, cation exchange capacity and soil pH. For environmental modelling and assessment, maps of complex soil properties are also important. These can be defined as properties that cannot be measured directly in the laboratory but are derived from primary soil properties, for instance by simple calculations,  pedotransfer functions or  more advanced spatial analyses. Examples are available water capacity, soil carbon density and stocks, as well as soil erodibility. There are two main approaches to map complex properties: 1) “model first, interpolate later”, where the complex property is first calculated at point locations where the primary properties are known and then mapped; and 2) “interpolate first, model later”, where the complex property is calculated from maps of the primary properties contributing to it. 

We present and discuss these two approaches for global applications using legacy data with a non-uniformspatial distribution of observations and the SoilGrids workflow. We compare the results for available water capacity of the 0 to 100 cm depth interval and soil carbon densities for six depth layers. Both properties were derived from a combination of simple calculations for point locations where the input soil properties were available and pedotransfer functions for other point locations where basic soil properties were available. There were substantial differences between the “model first, interpolate later” and “interpolate first, model later” approaches, both in point-wise evaluation metrics and in landscape patterns.  

How to cite: Poggio, L., Kempen, B., Turek, M.-E., Batjes, N. H., Genova, G., de Sousa, L. M., Rossiter, D., and Heuvelink, G.: Mapping of complex soil properties at global scale, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4311, https://doi.org/10.5194/egusphere-egu22-4311, 2022.

EGU22-4822 | Presentations | SSS10.4

Evaluation and improvement of the predictivity of a digital parent material map 

Tünde Takáts, János Mészáros, Gáspár Albert, Zsófien Adrienn Kovács, and László Pásztor

Parent material is an essential soil property, whose mapping is a challenging task, since parent material – landscape models are even less established quantitatively, then those used in traditional soil mapping, due to more difficult and indirect cognizability of the deeper layers from surface. For the compilation of a reliable parent material map with quantified accuracy a digital mapping method was elaborated.

  • Disaggregation of legacy geology map by RF modelling
  • Spatially predicting the reliability of the disaggregated map
  • Spatial identification of less reliable, stable predictions
  • Elaboration of a sampling design
  • Field work, collecting spatially non-exhaustive field observation (visual)
  • Interpretation of the newly collected data
  • Testing the improvement in the performance of the digital parent material map by involving increasing number of ground truth data

With the use of remotely sensed data and machine learning a new, large scale parent material was complied in an old mining region of Hungary. Different scale existing geological maps were used for training and for testing the classification concerning the lithological composition. To predict the parent material we applied various machine learning methods (Random Forest, Support Vector Machine and Conditional Neural network)  using data originating from Earth Observation as ancillary information. Satellite imagery data, was used both in form of native spectral bands and derived spectral indices. Various derivatives of SRTM provided morphological auxiliary data. Digital soil property maps were also introduced into the modelling process. Finally 63 predictors were applied.

We examined the importance of each variable and we found that the data of the morphometric variables (e.g. MRVBF, elevation, slope) and some soil particle size fractions (i.e. clay, silt, sand) are the most important ones, compared to the rest of the tested spectral variables.

The resulting classified maps were validated several ways:

  • after the first results, we run some analysis on the predicted map to examine its overall accuracy, and it equals to 0.77;
  • we checked the difference of the predicted and the original maps;
  • we also examined the number of predicted unique value of each pixel and the percentage of the most frequently predicted value.

In the next step field work was organized for the collection of spatially non-exhaustive field observation. A sampling design was elaborated based the evaluation results and taking into consideration the fact that there quite a few outcrops in the area which could help our work. After interpreting the newly collected data the improvement in the performance of the digital parent material map are being tested by involving increasing number of ground truth data.

Our paper will present the most recent results.

 

Acknowledgment: Our research was supported by the Hungarian National Research, Development and Innovation Office (NKFIH; K-131820)

How to cite: Takáts, T., Mészáros, J., Albert, G., Kovács, Z. A., and Pásztor, L.: Evaluation and improvement of the predictivity of a digital parent material map, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4822, https://doi.org/10.5194/egusphere-egu22-4822, 2022.

EGU22-5101 | Presentations | SSS10.4

DSM with covariates at different resolution for Mongolia 

Giulio Genova, Laura Poggio, Bas Kempen, Undrakh-Od Baatar, Enkhmaa Sarangerel, and Uganbat Ganbold

Digital Soil Mapping (DSM) is an established methodology to create maps of soil properties at different resolutions and extents. It establishes a statistical relationship between the measured values at point observations and environmental covariates selected to describe the soil forming factors and to explain the spatial variability of the soil properties. These relationships are then used to map the target soil properties across the area of interest. In this example, we used 1423 measurements on soil organic carbon and pH for the 0-20 cm soil layer from a Mongolian soil survey. This survey was organised within the framework of the “National Program to Combat Desertification” to determine the primary soil quality indicators for desertification assessment in Mongolia and it was conducted based on the state network of the Meteorological and Environmental Research Agency starting in 2012. The samples are collected from 1500 monitoring points every 5 years. We used data from the monitoring round between 2012 and 2015 We used two sets of covariates for modelling predictive relationships. The first is the set used in SoilGrids at 250 m resolution with over 400 layers available of which about 180 were used for the modelling, after de-correlation. The second is a reduced set of about 40 covariates at 100 m resolution derived mainly from Sentinel (1 and 2) images, ERA5 for climate data and ALOS for morphological information.  In this study we will compare the results of the two models, with both point-wise evaluation matrices and assessment of spatial patterns. In the evaluation the expertise of local partners will also be used. 

How to cite: Genova, G., Poggio, L., Kempen, B., Baatar, U.-O., Sarangerel, E., and Ganbold, U.: DSM with covariates at different resolution for Mongolia, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5101, https://doi.org/10.5194/egusphere-egu22-5101, 2022.

EGU22-5624 | Presentations | SSS10.4

Machine learning in four dimensions for mapping soil organic matter changes between 1953-2018 at 25m resolution in the Netherlands 

Anatol Helfenstein, Vera Leatitia Mulder, Gerard B.M. Heuvelink, and Mirjam J.D. Hack-ten Broeke

The European Green Deal emphasizes the importance of healthy soils for our planet and society. In order to monitor soil health, modelling soil organic matter (SOM) in space and over time is necessary to assess changes in the fertility of agricultural soils, combat climate change and maintain ecosystem services. In digital soil mapping, most recent statistical modelling approaches have used time series of remote sensing data, which became available from the early 1980s onwards, together with soil observations to make predictions in space and over time. While this has clear advantages, it does not provide spatially explicit, explanatory information for time periods before the 1980s, even though observations in soil databases are often from beforehand. In this study, we modelled changes in SOM in 3D space over 65 years on a national scale in the Netherlands. We used SOM observations from 345 000 locations from 0 to 2 m depth between 1953 and 2018. The covariates were comprised of proxies of soil forming factors either considered to be static (e.g. relief, parent material) or dynamic over these 65 years. As dynamic covariates, we used indices of digitized historic (1960 – 1980) and more recent (1986 – 2018) land use maps. These dynamic covariates were chosen for two reasons. Firstly, land use and land cover change are the main drivers of SOM change over the time period of several decades. This is especially true in the Netherlands, where the anthropogenic influence on soils has been tremendous. Approximately 82 % of the land surface are agricultural, urban or infrastructure areas, while 15 % consists of (managed) peatlands and up to 20 % has been reclaimed from the sea. Secondly, by including carefully mapped historic land use, we were able to take advantage of a longer time series of soil data to make space-time predictions of SOM over a longer time period. Predictions were made using the quantile regression forest (QRF) algorithm, whereby sampling depth and year were included during calibration. SOM predictions were validated in two ways: a) over the 65-year period using a 10-fold cross-validation and b) specifically for 1998 and 2018, where designed-based statistical inference was possible using a probability sample. We computed the mean error (ME), root mean squared error (RMSE), model efficiency coefficient (MEC) as accuracy metrics and the prediction interval coverage probability (PICP) as an evaluation of the prediction uncertainty. Results showed that spatial patterns were realistic and properly reproduced but that prediction of temporal dynamics was more challenging. This research is also of interest for spatio-temporal soil modelling in other regions of the world that have soil data from the early and mid-19th century and historical land use and land cover data.

How to cite: Helfenstein, A., Mulder, V. L., Heuvelink, G. B. M., and Hack-ten Broeke, M. J. D.: Machine learning in four dimensions for mapping soil organic matter changes between 1953-2018 at 25m resolution in the Netherlands, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5624, https://doi.org/10.5194/egusphere-egu22-5624, 2022.

EGU22-5971 | Presentations | SSS10.4

Intra- and intercity variability of urban soil-C stocks along a climatic gradient 

Viacheslav Vasenev, Xinyo Pan, Sergey Gorbov, Marya Korneykova, Marina Slukovskaya, Dmitrii Sarzhanov, and Andrey Dolgikh

Urban soils have a high capacity to accumulate C, whereas urban soil-C stocks are exposed to multiple direct or indirectly anthropogenic effects and therefore very variable and dynamic. The intracity variability of soil-C stocks is affected by functional and historical zoning, land management and mesoclimatic anomalies (e.g., urban heat island). The intercity variability is likely explained by the difference in regional climate conditions. The current research aimed to analyze variability in urban soil C stocks by a comparative analysis of six settlements following the climatic gradient in Central European Russia.

In 2019-2021 urban soil-C stocks were observed in the residential areas of six settlements representing different bioclimatic zones: Murmansk (68N, 33E; forest-tundra), Apatity (67N, 33E; north taiga), Moscow (55N, 37E; south taiga), Pushchino (54N, 37E; mixed and deciduous forests), Kursk (51N, 36E; forest-steppe) and Rostov-on-Don (47N, 39E; dry steppe). In each settlement, total 50 locations were selected following a random stratified scheme and mixed soil samples from the depths 0-10, 10-20, 30-30 and 30-50 сm were collected in each location. Soil organic (SOC) and inorganic (SIC) C stocks (all the depths) as well as microbial (basal) respiration and half-life time (only 0-10 cm) were analyzed in the collected samples. The intracity variation was investigated and mapped by digital soil mapping techniques linking field data to conventional (i.e., vegetation, relief and parent materials) and urban-specific (i.e., historical zoning and distances to infrastructures) covariates. In result, spatial variability and profile distribution of SOC and SIC were analyzed.

Total C stocks ranged from 15 kgC m-2 in Pushchino to over 30 kgC m-2 in Rostov-on-Don and Kursk. The highest contribution of subsoil (below 30 cm) layers was shown for the south settlements, where urban soils were often formed on top of the buried Chernozems, whereas in the polar climate the role of subsoil in total urban C stocks was much smaller. The outcomes confirmed that for topsoils urban C stocks were higher than in the natural zonal soils for the northern sites (Moscow and Apatity), whereas the opposite was shown for the settlements to the south from Pushchino. Half-life time of organic matter decreased from almost 30 years in Murmansk to less than 5 years in Rostov-on-Don. This illustrates law resistance of urban soil-C stocks to microbial decomposition under warm climate conditions. The contribution of organic and inorganic C to the total C stocks also clearly followed climate gradient and SIC share in Rostov-on-Don was 7 times higher than in Murmansk and Apatity. Historical zoning and land-cover were the major predictors of urban soil-C intracity variability with high C stocks in the historical centers and under trees and shrubs compared to the recently developed lawns. Land cover mainly explained variability in topsoil C stocks, where subsoil C stocks were more dependent on the urban history.

Acknowledgments The field and laboratory analysis of C stocks was performed with the support of Russian Foundation for Basic Research project № 19-29-05187. Spatial analysis and modeling was supported by Russian Science Foundation project № 19-77-30012.

How to cite: Vasenev, V., Pan, X., Gorbov, S., Korneykova, M., Slukovskaya, M., Sarzhanov, D., and Dolgikh, A.: Intra- and intercity variability of urban soil-C stocks along a climatic gradient, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5971, https://doi.org/10.5194/egusphere-egu22-5971, 2022.

EGU22-8289 | Presentations | SSS10.4

Soil sampling for variable-rate fertilization using spatial clustering 

Robert Minařík, Daniel Žížala, Jan Skála, Michal Kraus, and Vojtěch Lukas

Clustering is still an active method of soil sampling. The defined clusters not only can direct soil sampling for digital soil mapping, but also can serve as management zones for variable application of inputs based on soil sample analysis.  This study compares a nonspatial and spatial fuzzy clustering approach of management zones delineation enabling sampling design for both site specific and zonal fertilization. An actual yield potential and a bare soil composite computed from Sentinel-2 imagery featuring soil texture serve as covariates for clustering analysis ensuring a high interpretability of results. The minimum area of clusters and the number of sampling locations is defined by a user. The optimum number of constrained clusters is selected for every field based on silhouette index calculation ensuring the variable soil sampling density according to the variability of field conditions. Soil sampling locations were selected using shortest weighted distances to centroids of clusters or randomly. The results showed that nonspatial fuzzy clustering worked only for relatively homogenous fields with low number of clusters. For highly heterogeneous fields, the formed clusters were not spatially compact, because no spatial weight matrix was used. However, setting the minimum cluster size equal or greater than 1ha significantly improved the clusters compactness for heterogeneous fields even using nonspatial approach. The application of spatial approach improved the cluster compactness of heterogenous fields regardless to cluster size which makes this approach more universal.

The research has been supported by the project no. QK21010247 "Management optimization of unbalanced fields by means of digital soil mapping and soil moisture changes monitoring in order to stabilize the achievable yield" funding by Ministry of Agriculture.

How to cite: Minařík, R., Žížala, D., Skála, J., Kraus, M., and Lukas, V.: Soil sampling for variable-rate fertilization using spatial clustering, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8289, https://doi.org/10.5194/egusphere-egu22-8289, 2022.

EGU22-8526 | Presentations | SSS10.4

Groundwater recharge modeling – the importance of distributed soil information in hydrological models 

Hanna Zeitfogel, Mathew Herrnegger, Moritz Feigl, and Karsten Schulz

Spatially distributed soil information as input for hydrological models has the potential to improve the representation and physical realism of spatio-temporal hydrological processes. Since spatially distributed soil information is often not available, lumped parameters are frequently used in hydrological models to describe soil functions. However, especially the modeling of hydrological processes in the vadose zone – and consequently groundwater recharge – requires information on soil hydraulic properties. The main objective of this study is the prediction of future groundwater recharge rates for the extent of Austria under changing climate conditions. To reach this goal, we use Machine Learning (ML) based soil hydraulic maps as a basis for the parameterization of the COntinuous SEmi-distributed RunOff model (COSERO).

For the spatial prediction of the soil parameters, XGBoost, a boosting ML-algorithm, was trained with soil hydraulic maps of the federal state of Lower Austria and available environmental raster datasets (e.g. climate data, digital elevation model, landcover etc.). Based on the Austrian wide available environmental covariates, the trained XGBoost model was then used to predict relevant soil hydraulic properties for the whole area of Austria (approx. 83 900 km²) at a target resolution of 1 x 1 km².

For our hydrological model set-up, we rescale the predicted soil hydraulic properties into the model parameter range and domain. After parameter optimization, i.e. in our case scaling the mean and thereby keeping the spatial patterns of the parameters, the conceptual rainfall-runoff model COSERO simulates spatially distributed discharge for the study area. We compare our model results to simulations of a model version using lumped soil parameters to assess the differences in the spatial distribution of groundwater recharge rates. Additionally, we analyze the quality of discharge simulations depending on the respective parameterization of the model. Overall, the results show an increased performance when using distributed soil hydraulic properties.

In summary, this study demonstrates the importance of considering the variability of soil information in a hydrological model framework and evaluates the suitability of implementing digital soil mapping products in groundwater recharge modeling.

How to cite: Zeitfogel, H., Herrnegger, M., Feigl, M., and Schulz, K.: Groundwater recharge modeling – the importance of distributed soil information in hydrological models, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8526, https://doi.org/10.5194/egusphere-egu22-8526, 2022.

EGU22-8560 | Presentations | SSS10.4

Assessing machine-learning algorithms for digital soil mapping in an agricultural lowland area: a case study of Lombardy region. 

Odunayo David Adeniyi, Alexander Brenning, and Michael Maerker

Sustainable agricultural landscape management needs reliable and accurate soil maps and updated geospatial soil information. The traditional process of soil surveying is time-consuming and limited in terms of accuracy and spatial distribution. This problem can be partly overcome by Geographical Information Systems (GIS) and the application of digital soil mapping (DSM) approaches. The DSM analyse the relations between soil properties and environmental variables derived from the Digital Elevation Models (DEM) as well as from remotely-sensed information. Moreover, DSM uses these relations and hence, allows for the regionalization of point observations of soil properties. Several machine-learning methods are used today for DSM. The main goal of this study is the evaluation of different supervised machine-learning techniques for mapping several topsoil properties in an agricultural lowland area of Lombardy region, Italy, and interpreting the modelled relationships. The methods analysed are Random Forest, Gradient Boosting Machine, Support Vector Machine and Generalized Additive Model. We applied the models to predict different correlated soil properties such as the soil organic carbon (SOC), texture (sand, silt, clay content) and topsoil depth. Cross validation performances of these models were determined, and diagnostic tools for the post-hoc interpretation of these black-box models were applied to assess their interpretability as well as similarities and differences in the modelled relationships, which reflect each model’s abilities and biases. An important challenge is the interpretation of the effects of highly correlated predictors, which is achieved using a transformation-based post-hoc interpretation technique. The study helps to identify the best-performing predictive model for lowland area and to understand the robustness of the applied models. The selected models will be used to provide valuable information for facilitating a sustainable land use in an area with a unique soil water cycle as well as for assessing how future climate and socioeconomic changes may influence water content, soil pollution dynamics and food security.

How to cite: Adeniyi, O. D., Brenning, A., and Maerker, M.: Assessing machine-learning algorithms for digital soil mapping in an agricultural lowland area: a case study of Lombardy region., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8560, https://doi.org/10.5194/egusphere-egu22-8560, 2022.

EGU22-8765 | Presentations | SSS10.4

Mobile single-sided NMR technology as a calibrating tool for areal soil moisture mapping 

Stephan Costabel, Malte Ibs-von Seht, and Roger Jove

Passive and active electromagnetic methods such as L-Band radiometry and radar reflectometry have great potential to provide, from ground or as remote applications, soil moisture maps on local or regional scales. To calculate values of absolute water content from the measured dielectric constant, calibration data is necessary. This is usually acquired in the lab by weighing soil samples. The required drying lasts several days to weeks depending on the soil type. A large number of samples distributed over the entire investigation area is desirable in order to increase the accuracy of the derived moisture maps. This, however, requires increased effort and thus higher costs.

We suggest the use of nuclear magnetic resonance (NMR) to gather this kind of calibration data. NMR measures the water content in porous media directly by stimulating the proton spins of the water molecules. The amplitude of the received response signal is linearly correlated with the number of protons in the sensitive volume of the device, i.e., with the amount of water in it: zero is measured when water is absent, while 100% water corresponds to maximum signal amplitude. In contrast to conventional laboratory NMR, the single-sided NMR technology enables mobile tools that are easy to handle in the field. Absolute soil moisture data is collected just by placing the sensor at the size of a shoebox or suitcase on the ground and the result for a single spot is available after a few minutes instead of days when taking and drying samples.

We successfully tested the single-sided NMR technology at one of our L-Band radiometry test sites predominated by clayey loam. In addition to the quad-bike based passive areal L-Band data acquisition, pointwise single-sided NMR measurements were performed on a profile with the length of 600 m at 10 m spacing. The sensitive NMR volume was adjusted to a depth of 1 cm. A total of 10 samples were taken for verification and analysed in the lab. The absolute water contents provided by NMR excellently agree with those of the samples. Moreover, the NMR profile results are also in good agreement with the L-Band measurements on the same profile. Future investigations will focus on the feasibility of the single-sided NMR method for other soil types and on the interpretation of the NMR relaxation behavior, which allows estimating the water-filled pore size distribution. In addition to the water content, this additional information is useful to estimate water mobility and storage capacity in the topsoil.

How to cite: Costabel, S., Ibs-von Seht, M., and Jove, R.: Mobile single-sided NMR technology as a calibrating tool for areal soil moisture mapping, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8765, https://doi.org/10.5194/egusphere-egu22-8765, 2022.

EGU22-9180 | Presentations | SSS10.4

Assessing urban soils’ pollution in Moscow megalopolis by portable X-ray fluorescence analyzer 

Olga Romzaykina, Marina Slukovskaya, Viacheslav Vasenev, Anna Paltseva, Dmitrii Sarzhanov, and Artyom Losev

The study of urban soils of large cities is complicated due to their heterogeneity and continued reconstruction. Large territorial coverage and administrative prohibitions in some areas led to the difficulty of conducting full-fledged field sampling campaigns and results in inaccuracy. Еxpress methods of chemical elements’ content analysis using portable XRF devices allows to quickly assess the pollution level, minimizing the most complicating factors of research. However, the results obtained using a pXRF analyzer require adjustment of the instrument readings as they can be affected by a set of factors such as humidity, sample heterogeneity, and inter-element interference. Modern models of pXRF analyzers allow automatic correction of instrument readings through the correction factors stored in the device's memory. 
Our research focused on the development of such correction factors for the Olympus Vanta, one of the most common pXRF analyzers available today. Urban soils are characterized by high heterogeneity both in terms of potentially toxic metal (PTM) content, particle size distribution, and the proportion of organic matter in the soil. Overall 85 soil samples from three sites in the Moscow megalopolis with different levels of PTM pollution were collected for the device validation: the Repin’s square in the city-center (high level), the RUDN University campus (medium level), and the urban forest in Moscow Timiryazev Agricultural Academy (low level). 
Soil samples were collected from 0-10 cm depth, analyzed for moisture content and bulk density, dried, ground, sieved through a sieve with a 2 mm mesh diameter and analyzed by Olympus Vanta C device. Exposure time was 90 sec in the "Soil" mode. The ICP-OES measurements were taken by EPA 6010B. The carbon content was determined by Vario TOC Select (Elementar). Soil pHwater was determined by the potentiometric method. Further, all samples were divided into groups based on different particle size distributions: sand, loam, peat, and their mixtures. Finally, the samples were grouped by the PTM concentrations. International indices (IPI, PINemerow, and PERI) were used to assess the accuracy of complex soil pollution. The correction factors were calculated for five PTMs (Cu, Ni, Zn, Pb, Cd). 
For sand, the pXRF-measured concentration corresponded to the ICP-OES result with the conversion factor K=1. The surplus of pXRF readings for samples with peat domination was 1.5-2, but the addition of mineral substrates (sand and loam) to the peat mixtures decreased the coefficient to 1.1-1.4. Among studied PTM, copper and lead had the most stable conversion factors, while other elements had different factors in different intervals of concentrations. However, for all studied elements, the pXRF-readings were unreliable at concentrations less than 5-10 ppm. The pollution indices calculated based on pXRF and ICP-OES data differed but in most cases corresponded to an equal level of contamination. Overall, the Olympus Vanta C portable XRF-analyzer is a promising device for the assessing and mapping of PTM pollution in highly heterogenic urban soils, but pXRF readings of samples with low PTM concentrations and high organic matter content require correction. 
The study was supported by the Russian Science Foundation Project #19-77-300-12.

How to cite: Romzaykina, O., Slukovskaya, M., Vasenev, V., Paltseva, A., Sarzhanov, D., and Losev, A.: Assessing urban soils’ pollution in Moscow megalopolis by portable X-ray fluorescence analyzer, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9180, https://doi.org/10.5194/egusphere-egu22-9180, 2022.

EGU22-9243 | Presentations | SSS10.4

Influence of parameterization strategy for parent material effects in predictive mapping of topsoil geochemistry 

Jan Skála, Daniel Žížala, and Robert Minařík

The distribution of trace elements in soils is complex and reflects the geochemistry of the original geological substrates modified by variety of environmental and human-induced changes of soil environment. An effective use of geological information within digital soil mapping and geochemical mapping over large require a degree of class aggregation into several broad nominal (or ordinal) classes. Nevertheless, there are several potential weaknesses of the reclassification of lithological information - lithological variation within geological units, variation in composition of individual lithological types, and inadequate description of lithology in geological map. Hence, we tested how the predictive geochemical mapping using environmental correlation will be sensitive under various complement scenarios using aggregated geological substrates and additional numeric covariates that partially represent parent material such as subsoil texture, land gravity data (gravity survey Bouguer anomaly) and other geophysical spatial data (airborne magnetic and gamma radiometric surveys). To compare various scenarios, we have used lithological classification in combinations with other numerical substrate-wise covariates in pragmatic predictive geochemical models using quantile regression forest over contrast area (approximately 11 000 km2) in the Czech Republic. Thee independent geochemical datasets for soil trace elements after the acid digestion procedure were used to train and validate the predictive models. Lithology-wise covariates were iteratively combined with the joint set of other readily available covariates representing topography, land use, remotely sensed surface characterisation (using a cloudless bare soil composite assembled from Sentinel 2) and depositional inputs of trace elements into soil to compare the prediction of topsoil concentrations of trace elements under various research strategies for parametrisation of lithological information. The results enabled to select optimal covariates suite for lithology parametrisation for the complex nation-wide model for topsoil contents of trace elements.

The research has been supported by the Technology Agency of the Czech Republic under the research project No. SS03010364.

How to cite: Skála, J., Žížala, D., and Minařík, R.: Influence of parameterization strategy for parent material effects in predictive mapping of topsoil geochemistry, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9243, https://doi.org/10.5194/egusphere-egu22-9243, 2022.

EGU22-9669 | Presentations | SSS10.4

A comparative study of the Hungarian Soil Monitoring System and LUCAS Topsoil dataset and their countrywide spatial predictivity 

László Pásztor, Zsófia Bakacsi, Gábor Szatmári, Piroska Kassai, Brigitta Szabó, Annamária Laborczi, Mihály Kocsis, and András Benő

EJP SOIL, which is a European Joint Programme Cofund on Agricultural Soil Management, has posed questions concerning the application of various soil observation datasets to account, monitor and map agricultural soil carbon, fertility and degradation. One of the most exciting issue is, how the continental LUCAS Topsoil dataset and national soil observation/monitoring databases could be harmonized and/or should complement or improve each other to produce Europe wide spatial soil information to support European contribution towards international reporting on soils, and the accuracy of European agri-environmental policies. Methods are being searched by a broad international team. In our paper we present a countrywide case study for the comparison of (i) the representativity of the Hungarian Soil Information and Monitoring System (SIMS) versus LUCAS Topsoil dataset and (ii) some map products, which were modelled by the usage of the two reference data sources.

The difference between national monitoring systems and LUCAS Topsoil dataset is mainly due to (i) the different measurement methods applied to determine soil properties, and (ii) the different sampling strategy, both in terms of sampling location and sampling depth. While transformation (using unit conversions, mass-preserving splines to derive soil properties for similar soil depth, pedotransfer functions for methods conversion, etc.) of the SIMS soil data into the units, methods and soil depth used in the LUCAS dataset could be carried out more or less straightforwardly, the spatial representativity, which strongly affects the performance of any digital soil map based on the given observation dataset, is a challenging feature, which could and should be checked.

From a statistical point of view, a sample is said to be representative if it reflects the characteristics of the population the best. First we analysed whether the two sets of soil data represent the same population applying two approaches: by the comparison of (i) empirical cumulative distribution function and (ii) the mean values aggregated for different land use categories of the selected soil properties coming from the two system. Although based on the Kolmogorov-Smirnov test we could conclude that the Hungarian subset of the LUCAS Topsoil dataset and the data of the Hungarian Soil Information and Monitoring System come from the same population in the case of particle size distribution, pH, organic carbon and carbonate content, the land use based comparison did not give satisfying results.

In the next round the countrywide spatial predictivity of the two datasets have been tested. Primary soil property map pairs have been compiled using the same ancillary datasets and digital mapping methods but the two different observation datasets. The two map products for the same property have been compared by both global measures and cell-to-cell statistics. In addition to pairwise comparison of basic statistical features (histograms, scatter plots), we have examined the spatial distribution of the differences. In our presentation our findings and experiences will be discussed.

 

Acknowledgment: Our research was supported by the Hungarian National Research, Development and Innovation Office (NKFIH; K-131820), European Union’s Horizon 2020 Research and Innovation programme under grant agreement No. 862695.

How to cite: Pásztor, L., Bakacsi, Z., Szatmári, G., Kassai, P., Szabó, B., Laborczi, A., Kocsis, M., and Benő, A.: A comparative study of the Hungarian Soil Monitoring System and LUCAS Topsoil dataset and their countrywide spatial predictivity, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9669, https://doi.org/10.5194/egusphere-egu22-9669, 2022.

EGU22-9727 | Presentations | SSS10.4

Population, extension and some functional applications of DOSoReMI.hu, the renewed Hungarian Soil Spatial Data Infrastructure 

Annamária Laborczi, Gábor Szatmári, János Mészáros, Katalin Takács, Tünde Takáts, Mátyás Árvai, Zsófia Kovács, Brigitta Szabó, and László Pásztor

Hungarian Soil Spatial Data Infrastructure has been recently renewed in the frame of DOSoReMI.hu initiative. Soil property, soil type and functional soil maps were compiled. The set of the applied digital soil mapping techniques has been gradually broadened incorporating and eventually integrating geostatistical, machine learning and GIS tools and very recently spatially non-exhaustive ancillary observations, which has been also hypothesized to be successfully utilizable within DSM framework. (i) Vast, digitally processed legacy soil data, (ii) a spectrum library compiled by the measurements of 6600 soil samples with countrywide origin, (iii) and the results of a nationwide citizen science campaign targeted to collect proxy data on soil health were involved.

Soil property maps have been compiled partly according to international specifications (GlobalSoilMap.net, GSOC, GSASmap), partly to fulfill specific demands on the final products. Secondary (derived) soil features were also predicted. (i) Soil hydraulic properties were mapped applying generalized pedotransfer functions; (ii) spatial assessment of certain provisioning and regulating soil functions was carried out by the involvement of soil property maps in digital process/crop models. The nationwide, thematic digital soil maps compiled in the frame and spin-off of our research is utilized in a number of ways, for the support of national activities (LDN, SDGs, ESS assessment). A new soil portal was also elaborated for publishing of the created DSM products together with the result of their accuracy assesment.

Our paper will present

  • the new approaches for the population and extension of DOSoReMI.hu, and
  • various national functional applications of DOSoReMI.hu.

 

Acknowledgement: Our research has been supported by the Hungarian National Research, Development and Innovation Office (NRDI; Grant No: K 131820).

How to cite: Laborczi, A., Szatmári, G., Mészáros, J., Takács, K., Takáts, T., Árvai, M., Kovács, Z., Szabó, B., and Pásztor, L.: Population, extension and some functional applications of DOSoReMI.hu, the renewed Hungarian Soil Spatial Data Infrastructure, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9727, https://doi.org/10.5194/egusphere-egu22-9727, 2022.

EGU22-9803 | Presentations | SSS10.4

Austrian Soil Spectral Library for future soil fertility assessments 

Taru Sandén, Maximilian Lippl, Elisabeth Reiter, Georg Dersch, Heide Spiegel, and Andreas Baumgarten

The interest in soil analyses with visible and near infrared spectroscopy (Vis-NIRS, ~350-2500nm) has increased rapidly (Nocita et al., 2015; Gholizadeh et al., 2013, Stenberg et al., 2010) due to simple use of the technique and its fastness compared to wet and dry chemistry. Vis-NIR soil spectroscopy has been identified as one of the proximal sensor techniques with most information about organic matter and clay minerals (Gholizadeh et al., 2013) that is very interesting for the agricultural community looking for ways to rapidly assess how management practices affect soil organic carbon stocks, for example. Organic molecules and functional groups in the organic matter absorb strongly in the Vis-NIR range and therefore relate to organic carbon (Stenberg et al., 2010).

In order to interpret, validate and calibrate the Vis-NIR spectra, reference data analysed with wet and dry chemistry is needed. Here, we will present the development and use of the Austrian soil spectral library that currently consists of around 600 agricultural soil samples. The soil spectral library has been built up from representative agricultural air-dried soil samples from farmers and agricultural long-term experiments that have first been analysed with wet and dry chemistry for soil organic matter characteristics including total organic carbon (TOC), labile carbon, total nitrogen and potentially mineralisable nitrogen, among other soil fertility characteristics. The soil spectral library is continuously being extended by more representative agricultural soil samples from farmers and long-term experiments. Its harmonisation is being carried out under the EJP SOIL ProbeField project on a European scale as well as under the global GLOSOLAN initiative on soil spectroscopy cooperation. This is to ensure generic, robust and well performing models that could be used in a simple and fast manner on local, regional and national scales in Austria, as well as to be connected to larger geographical and soil type coverage on a European and global scales through ProbeField and GLOSOLAN networks.

 

ProbeField is part of EJP SOIL (EU, H2020, grant agreement No 862695)

Gholizadeh, A., Borůvka, L., Saberioon, M., and Vašát, R.: Visible, Near-Infrared, and Mid-Infrared Spectroscopy Applications for Soil Assessment with Emphasis on Soil Organic Matter Content and Quality: State-of-the-Art and Key Issues, Applied Spectroscopy, 67, 1349-1362, 10.1366/13-07288, 2013.

Nocita, M., Stevens, A., van Wesemael, B., Aitkenhead, M., Bachmann, M., Barthès, B., Ben Dor, E., Brown, D. J., Clairotte, M., Csorba, A., Dardenne, P., Demattê, J. A. M., Genot, V., Guerrero, C., Knadel, M., Montanarella, L., Noon, C., Ramirez-Lopez, L., Robertson, J., Sakai, H., Soriano-Disla, J. M., Shepherd, K. D., Stenberg, B., Towett, E. K., Vargas, R., and Wetterlind, J.: Chapter Four - Soil Spectroscopy: An Alternative to Wet Chemistry for Soil Monitoring, in: Advances in Agronomy, edited by: Sparks, D. L., Academic Press, 139-159, https://doi.org/10.1016/bs.agron.2015.02.002, 2015.

Stenberg, B., Viscarra Rossel, R. A., Mouazen, A. M., and Wetterlind, J.: Chapter Five - Visible and Near Infrared Spectroscopy in Soil Science, in: Advances in Agronomy, edited by: Sparks, D. L., Academic Press, 163-215, https://doi.org/10.1016/S0065-2113(10)07005-7, 2010.

How to cite: Sandén, T., Lippl, M., Reiter, E., Dersch, G., Spiegel, H., and Baumgarten, A.: Austrian Soil Spectral Library for future soil fertility assessments, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9803, https://doi.org/10.5194/egusphere-egu22-9803, 2022.

Soil spectroscopy in the mid-infrared (MIR) allows the fast and cost-effective derivation of multiple physical and chemical soil properties, e.g., soil organic carbon (SOC) and soil texture, from a single reflectance spectrum. The recent development of extensive soil spectral libraries and field-portable handheld FTIR spectrometers have opened up new opportunities for the widespread application of soil reflectance spectroscopy in the geo- and environmental sciences. Compared to laboratory measurements on pre-treated soil material, field recordings of MIR spectra are impacted by in situ environmental conditions that modify and degrade the measured reflectance signal, most prominently variations in soil moisture and particle size across samples. These conditions prevent leveraging available MIR soil spectral libraries to build predictive models of soil properties directly.

We evaluated the capacity of the External Parameter Orthogonalization (EPO) algorithm to compensate for moisture and particle size-induced effects on MIR reflectance spectra recorded in the field to generate laboratory-equivalent spectra from the in-situ data, which would allow calibrations of predictive soil property models from soil spectral library data to be transferred to field-recorded spectra. An archive of 230 soils collected across five soil regions in Germany covering a broad range of parent materials, soil texture classes and organic carbon contents was used to evaluate the approach. For each soil sample, MIR reflectance spectra had been acquired both in the field, i.e., measured in situ on the soil surface, and in the laboratory on pre-treated (sieved and ground) soil material. Field spectra were corrected for environmental effects by EPO and used to predict SOC and soil texture with predictive models developed on the laboratory spectra.

Analysis of the EPO-transformed spectra showed that the algorithm could compensate for some of the significant environmental effects present in the field data, e.g., non-linear baseline shifts and large-scale water absorption features, effectively reducing variation across the soil samples that is not linked to the physical and chemical soil properties of interest. EPO-transformation of the spectra further allowed a robust transfer of calibrations developed on laboratory spectra of pre-treated soils to the field spectra. Predictive accuracies for SOC and soil texture were lower than for pure laboratory applications but generally in line with models developed with an extensive regional calibration sample directly on the field MIR spectra.

The correction of field MIR spectra with the EPO algorithm thus represents a promising approach to integrating existing soil spectral libraries into the development of predictive soil property models for in-situ MIR reflectance spectra as it would allow the development of predictive models without requiring a large number of additional regional calibration samples for field application of MIR soil spectroscopy.

How to cite: Hutengs, C., Seidel, M., and Vohland, M.: Compensation of moisture and particle size effects on soil mid-infrared (MIR) reflectance spectra collected in the field with External Parameter Orthogonalization, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10092, https://doi.org/10.5194/egusphere-egu22-10092, 2022.

Salinization in arid or semiarid regions with water-logging limits cropland yield, threatening food security. The highest level of farmland salinization, that is, abandoned salinized farmland, is a trade-off between inadequate drainage facilities and sustainable farming. The evolution of abandoned salinized farmlands is closely related to the development of cropping systems. However, detecting abandoned salinized farmland using time-series remote sensing data has not been investigated well by previous studies. In this study, a novel approach was proposed to detect the dynamics of abandoned salinized farmland using time series multi-spectral and thermal imagery. Thirty-two years of temporal Landsat imagery (from 1988 to 2019) was used to assess the evolution of salinization in Hetao, a two-thousand-year-old irrigation district in northern China. As intermediate variables of the proposed method, the crop-specific planting area was retrieved via its unique temporal vegetation index (VI) pattern, in which the shape-model-fitting technology and the k-means cluster algorithm were used. The desert area was stripped from the clustered non-vegetative area using its distinct features in the thermal band. Subsequently, the abandoned salinized farmland was distinguished from the urban area by threshold-based saline index (SI). In addition, a regression model between electrical conductance (EC) and SI was established, and the spatial saline degree was evaluated by the SI map in uncropped and unfrozen seasons. The results show that the cropland has constantly been expanding in recent decades (from 4.7*105 ha to 7.1*105 ha), while the planting area of maize and sunflower has grown and the area of wheat has decreased. Significant desalinization progress was observed in Hetao, where both the area of salt-affected land (salt-free area increased approximately 4*105 ha) and the abandoned salinized farmland decreased (reduced from 0.45 *105 ha to 0.19 *105 ha). This could be mainly attributed to three reasons: the popularization of water-saving irrigation technology, the construction of artificial drainage facilities, and a shift in cropping patterns. The decrease in irrigation and the increase in drainage have deepened the groundwater table in Hetao, which weakens the salt collection capacity of the abandoned salinized farmland. The results demonstrated the promising possibility of reutilizing abandoned salinized farmland via a leaching campaign where the groundwater table is sufficiently deep to stop salinization.

How to cite: Zhao, L.: Assessing the long-term evolution of abandoned salinized farmland via temporal remote sensing data, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10809, https://doi.org/10.5194/egusphere-egu22-10809, 2022.

EGU22-11036 | Presentations | SSS10.4

Optimization of calibration models for soil carbon estimation using mid-infrared spectroscopy 

Minerva Dorantes, Bryan Fuentes, and David Miller

Mid-infrared spectroscopy is an efficient technique for soil carbon analysis. Efforts to measure and monitor carbon through mid-infrared spectroscopy require the development of soil spectral libraries. These libraries are used for the construction of calibration models which relate analyte values to spectra. The optimization of these models is an important process for the accurate and resource-efficient estimation of soil carbon. This study demonstrates the effect on model performance of subsetting a soil spectral library for soil organic carbon estimation. Various subsetting criteria were tested across different landscapes in the United States, and results are presented in the context of the development of new soil spectral libraries.

How to cite: Dorantes, M., Fuentes, B., and Miller, D.: Optimization of calibration models for soil carbon estimation using mid-infrared spectroscopy, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11036, https://doi.org/10.5194/egusphere-egu22-11036, 2022.

EGU22-11333 | Presentations | SSS10.4

Prediction of soil texture using optical and microwave earth observation data in a random forest approach 

Swen Meyer, Jörg Rühlmann, Eric Bönecke, Eckart Kramer, and Philip Marzahn

Precision Agriculture (PA) applied on a widespread basis can be a building block for reduced ecosystem degradation without compromising food security. One problem of farmers in the implementation of PA applications is the lack of high spatial resolution soil information.

The EU-funded research project ‘pH-BB: Precision liming in Brandenburg’ aims at developing innovative nutrient management strategies based on proximal soil sensing data.  For this study, the pH-BB project provided us the data of the 361 soil samples, which were taken at an 800-hectare farm in Brandenburg close to Frankfurt (Oder) and analyzed in the laboratory for the texture fractions clay, silt, and sand. We used the Google Earth Engine to process remote sensing earth observation (EO) data of 1474 Sentinel-1 (S1) SAR and 85 cloud free Sentinel-2 (S2) scenes available at the study site during the period 2016-03-01 - 2021-11-09. Vegetation and soil indices were computed with optical S2 data and backscatter in VV and VH polarization were extracted from the S1 datasets. To derive long-term persistent patterns in the EO data, simple statistical parameters such as coefficient of variation, standard deviation, maximum pixel value, etc. were calculated along the temporal domain of the EO data. Together with calculated terrain attributes, 24 covariate grids were finally available for model building. Reference samples (rs) were randomly divided into a training dataset (70% of rs) and a validation dataset (30% of rs). Pixel values of the covariate datasets at the sampling locations were added to the rs datasets.

A random forest machine learning algorithm was applied to the training dataset to train two individual models for the alr-transformed target variables silt and sand using the covariates. The developed models were then applied to the gridded datasets to predict maps for the alr-transformed target variables silt and sand. The final maps of all 3 texture fractions clay, silt, and sand were computed by back-transforming the predicted alr silt and sand grids.

In the derived models EO covariates showed the highest level of importance. Comparison of the prediction results with the validation data set showed that the spatial distribution, of the clay, silt, and sand fractions was predicted, with a root mean square error (rmse) of 6.2, 5.3, and 9.7 mass-%, respectively. A classification of the predicted maps according to the German KA5 scheme showed that especially in the sand dominated soil classes the prediction errors were lower, whereas they increased in the loamy soil classes (dependent on the clay content).

With a rmse of 5.3 - 9.7 mass-%, the performance of the approach shows good potential for surface soil texture assessments even at high resolution or for global applications or as an initial guess for soil mapping with high resolution proximal soil sensing devices.

How to cite: Meyer, S., Rühlmann, J., Bönecke, E., Kramer, E., and Marzahn, P.: Prediction of soil texture using optical and microwave earth observation data in a random forest approach, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11333, https://doi.org/10.5194/egusphere-egu22-11333, 2022.

EGU22-12326 | Presentations | SSS10.4

MAPPING OF Fe2O3 , Nb and TiO2 , AS A SUPPORT TO CLASSIFY OUTCROPPING MATERIALS IN” MORRO DOS SEIS LAGOS” CARBONATITE COMPLEX, BRAZILIAN AMAZON 

Niriele Rodrigues, Júlio Cesar Lopes da Silva, Renan Pereira Marinatti da Silva, Helena Saraiva Koenow Pinheiro, and Waldir Carvalho Junior

The study goal was the preliminary mapping of Fe2O3, Nb and TiO2 contents to support of the classification of outcropping materials (focused on laterite types), in “Morro dos Seis Lagos”, in Brazilian Amazon. The methodological procedures were based on machine learning tools, gathering Sentinel-2 MSI and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) sensor data, numerical terrain models (all with 20 m spatial resolution), and geochemical legacy dataset from the Geological Survey of Brazil (CPRM). The input geochemical dataset was subdivided in training dataset (341 samples) and validation dataset (85 samples) to apply the Random Forest (RF), in 60 loops of iteration, and the model’s performance were evaluated through the average values of the metrics (R2, RMSE and MAE). Subsequently, the resulting average maps were combined using cluster analysis (k-means) via unsupervised classification, performed at the R environment through the Vegan package, where the number of resulting classes was optimized taking into account the “Simple Structure Index” (SSI) criterion. Different cluster grouping was tested considering classes number (6 to 10) and interactions (0 to 8000), and the resulting classes (zones) were contrasted with available geological map.  The results showed the best performance in modeling via the Random Forest (RF) model associated with Recursive Feat Elimination (RFE) for the elements Nb (R2=0.08, RMSE = 0.86, MAE = 0.66), TiO2 (R2=0.14, RMSE = 3.90, MAE= 2.56) and Fe2O3 (R2=0.23, RMSE =19.77, MAE = 14.12). Based on the results obtained via preliminary cluster analysis, the best optimization was achieved grouping in 9 classes, according to SSI criterion. The results showed agreement when compared to the classes of the geological map available for the area, but with better detailing of the laterite facies. The conclusions of the preliminary study pointed out that advances regarding the scale detail provided better understanding the behavior of the variability in laterite and talus deposits with the support of machine-learning tools and covariates from remote sensing data. However, improvement in the cluster classification can be achieve by adding other geochemical compounds and testing different predictive models.

How to cite: Rodrigues, N., Silva, J. C. L. D., Silva, R. P. M. D., Pinheiro, H. S. K., and Carvalho Junior, W.: MAPPING OF Fe2O3 , Nb and TiO2 , AS A SUPPORT TO CLASSIFY OUTCROPPING MATERIALS IN” MORRO DOS SEIS LAGOS” CARBONATITE COMPLEX, BRAZILIAN AMAZON, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12326, https://doi.org/10.5194/egusphere-egu22-12326, 2022.

EGU22-12486 | Presentations | SSS10.4

Soil moisture: coauthor of the soil mosaic patterns 

Jiří Kocum, Luděk Šefrna, and Lukáš Vlček

Soil coverage of Czechia has been well-mapped thanks to Complex Soil Survey (CSS) during the 1970s. Despite its considerable details, it is not capturing many of the non-negligible phenomena, and it is not as accurate as it could be as if it were performed today with today technology. This study deals with soil mosaics visible from aerial photographs on agricultural lands, which are not affected in the CSS maps, in terms of determination and classification based on the processes that create these mosaics. For this purpose, fifty localities in Czechia were selected. Attention is paid to the way of development, places of occurrence and the shape of the mosaic itself. One of the main goals is to use only freely available data such as DMR, aerial photographs and soil maps. That is because we want this analysis to be easily reusable by other pedologists in other places. In this study, we propose a classification of different soil mosaics.

The proposed classification consists of three groups, containing seven categories defined by the primary causes of occurrence. Not all sites are formed only by one degradation process. The mosaic is often composed of several degradation processes, and the resulting shape is its sum. The main factors are changes in the soil properties, soil organic matter content, and different ability in water retention (differences in soil moisture). The resulting classification can be used for a) further continuation of soil mapping (where it could serve as an aid in selecting suitable sites for soil probes), b) soil sample gathering (to decide where to gather soil samples to get the most representative soil sample of the area), c) precise determination of polygons with similar soil properties, d) better planning in precision agriculture, e) more realistic estimation of the K factor in the RUSLE equation, to raise the accuracy of estimation of soil erosion.

Furthermore, the relationship between the shape of the mosaic and the processes that create the mosaic was analysed. Because it's evident that similar processes cause similar patterns, we choose a Box-Counting method to calculate its fractal dimension. Results of this analysis didn't show any correlation, and it wasn't possible to determine the type of mosaic only according to its value of the fractal dimension. The machine learning approach would be probably more suitable for this problem. Database of shapes, divided into the categories according to the classification above. Automatical analysis of pictures of the mosaics and their sorting according to their highest similarity with one of the categories. The possibility of using more detailed satellite images for soil reflectance values in the case of soil mosaic classification could also be very beneficial in the future. For capturing the soil mosaic by satellite images, high-quality images are necessary. Such images are not freely available yet, and that's why we didn't use them in this study.

How to cite: Kocum, J., Šefrna, L., and Vlček, L.: Soil moisture: coauthor of the soil mosaic patterns, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12486, https://doi.org/10.5194/egusphere-egu22-12486, 2022.

EGU22-12761 | Presentations | SSS10.4

Agroclimatological Classification for Iran Land for Earth Observation Purposes 

Ebrahim Asadi Oskouei, Bahareh Delsouz Khaki, and Ernesto Lopez-Baeza

Modeling climatic conditions and knowing about them helps us to improve ecosystem management. Climate classifications generally have been produced using stations' data, and because satellite data did not have a proper temporal period, they could not be applied as a tool for climate classification. The aim of this study was a qualitative assessment of the fitness of satellite data as covariates of an agro-climate classification. To define agroclimate classes in Iran land, temperature and precipitation were selected as the main climatological parameters in agriculture. Using data collected from 3825 synoptic, climatological, rain gauge, and evaporation stations from 2002 to 2016, an agroclimatic map was produced with a resolution of 5 km which is divided into 24 agroclimatic classes. Comparison between resulted agroclimatic classes and some remote sensed agricultural related variables including mean_yearly_NDVI-TVDI, average actual evapotranspiration (m/yr), evapotranspiration (m/yr) and average soil moisture (m3/m3), showed a very sharp visual accordance. The accordance was very clear specially in the case of TVDI which had a greater resolution of 1 km x 1 km. The results showed that satellite data can be a useful candidate (as meaningful auxiliary variables) for agroclimate classifiers. moreover, in situ based classifications can be beneficial as a tool of satellite data classification and interpretation. Another point is that, the greater the similarity between satellite data and agroclimate classified raster resolutions, the better the conditions for comparing and evaluating performance.

How to cite: Asadi Oskouei, E., Delsouz Khaki, B., and Lopez-Baeza, E.: Agroclimatological Classification for Iran Land for Earth Observation Purposes, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12761, https://doi.org/10.5194/egusphere-egu22-12761, 2022.

Soil pH is one of the most important properties for soil health, affecting the microbial activities, aggregate structure, nutrient availability and soil toxicity. For croplands in China, intensive application of ammonium-based fertilizer, as well as increased rate of nitrogen deposition, are inducing significant soil acidification in the long term and therefore threating agricultural sustainability. However, in almost all process-based biogeochemical models, soil pH is used as model input (constant) but its dynamic (especially at decadal scale) has not been simulated properly. In this study, we developed the new soil pH module in GDNDC (Gridded version of DeNitrification and DeComposition model) model to simulate the evolution of soil acidification processes within 0-40cm depth and its effect on crop growth. Using charge balance as the principle, different equations based on the chemical equilibrium between H+, NH4+, NO3-, Al3+, base cations (e.g. Mg2+, Ca2+ and K+), organic anion (Org-) and CO2 were integrated into the new model and then numerically solved at daily step. Over 20-year field observations (e.g. soil nitrogen content, soil pH, crop yield, etc) under different fertilization scenarios (including non-fertilizer, inorganic NPK only, organic manure only, and inorganic NPK + organic manure) from both Qiyang and Jinxian sites in China were used to validate the accuracy of model’s prediction. By comparing the model outputs with field measurements, we found the GDNDC (v2.0) could effectively capture the unique trend of soil pH evolution under different fertilization scenarios at decadal scale, for example, the accelerated soil acidification under NPK and the buffering effect of organic manure. The difference of crops yield under different fertilization scenarios was also predicted precisely. As a result, our model has the capacity to simulate the dynamic of soil pH under various fertilization schemes and it can make a great contribution to long-term policy making on improved fertilization for agricultural sustainability.

How to cite: Huang, X. and Yu, C.: GDNDC (v2.0): Modelling long-term soil acidification of cropland under different fertilization scenarios, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1066, https://doi.org/10.5194/egusphere-egu22-1066, 2022.

EGU22-2022 | Presentations | BG3.9

Historical simulation of crop water and land footprints 

Oleksandr Mialyk, Joep F. Schyns, and Martijn J. Booij

Crop production puts substantial pressure on planetary water and land resources. One way to decrease it is to reduce crop water (WF, m3 t-1) and land footprints (LF, m2 t-1), i.e. have more crop per drop and hectare.  In this study, we simulate WFs and LFs of major crops with a process-based global gridded crop model ACEA during 1990-2019 at 5 x 5 arc minute resolution. Our results reveal regional differences and historical changes in both footprints. Most regions have successfully managed to reduce their WFs and LFs, which drives the global averages down for many crops since 1990. Despite this good news, the total water and land appropriation for crop production have increased worldwide due to the greater crop demand needed to sustain the growing human population. As this may endanger ecosystems and human livelihoods in some regions, it is vital to assess the potential ways of further WF and LF reductions in the future.

How to cite: Mialyk, O., Schyns, J. F., and Booij, M. J.: Historical simulation of crop water and land footprints, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2022, https://doi.org/10.5194/egusphere-egu22-2022, 2022.

EGU22-2619 | Presentations | BG3.9

Can we feed everyone without our modern infrastructure and industry? Simulating potential yield with a generalized linear model in a loss of industry scenario 

Florian Ulrich Jehn, Jessica Moersdorf, Morgan Rivers, David Denkenberger, and Lutz Breuer

Modern civilization is highly dependent on industrial agriculture. Industrial agriculture in turn has become an increasingly complex and globally interconnected system whose historically unprecedented productivity relies strongly on external energy inputs in the shape of machinery, mineral fertilizers, and pesticides. It leaves the system vulnerable to disruptions of industrial production and international trade. Several scenarios have the potential to damage electrical infrastructure on a global scale, including electromagnetic pulses caused by solar storms or the detonation of nuclear warheads in the upper atmosphere, as well as a globally coordinated cyber-attack. The current COVID-19 pandemic has highlighted the importance of crisis preparation and the establishment of more resilient systems. To improve preparation for high-stake risk scenarios their impact especially on critical supply systems must be better understood. To further the understanding of consequences for the global food system this work aims to estimate the effect the global inhibition of industrial production could have on the crop yields of maize, rice, soybean, and wheat. A generalized linear model with a gamma distribution was calibrated on current crop-specific gridded global yield datasets at five arcmin resolution. Gridded datasets on the temperature regime, the moisture regime, soil characteristics, nitrogen, phosphorus and pesticide application rates, the fraction of irrigated area and a proxy to determine whether farm activities are mechanized were chosen as explanatory variables. The model was then used to predict crop yields in two phases following a global catastrophe which inhibits the usage of any electric services. Phase 1 reflects conditions in the year immediately after the catastrophe, assuming the existence of fertilizer, pesticides, and fuel stocks. In phase 2 all stocks are used up and artificial fertilizer, pesticides and fuel are not available anymore. The predictions showed a reduction in yield of 10-30% in phase 1 and between 34 and 43% in phase 2. Overall Europe, North and South America and large parts of India, China and Indonesia are projected to face major yield reductions of up to 95% while most African countries are scarcely affected. The findings clearly indicate hotspot regions which align with the level of industrialization of agriculture. Further, it is shown that the yield reduction is likely to be substantial, especially in industrialized countries. The analysis also provides insights on major factors influencing crop yield under losing industry circumstances. Due to data unavailability some crucial factors could not be included in the model, but their qualitative discussion leads to the conclusion that the presented results can be considered an optimistic scenario, and that further research is needed to quantify the impact of the omitted aspects. 

How to cite: Jehn, F. U., Moersdorf, J., Rivers, M., Denkenberger, D., and Breuer, L.: Can we feed everyone without our modern infrastructure and industry? Simulating potential yield with a generalized linear model in a loss of industry scenario, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2619, https://doi.org/10.5194/egusphere-egu22-2619, 2022.

EGU22-2783 | Presentations | BG3.9

The impact of high quality field data on crop model calibration 

Mercy Appiah, Gennady Bracho-Mujica, Simon Svane, Merete Styczen, Kurt-Christian Kersebaum, and Reimund P. Rötter

Process-based crop simulation models (CSMs) are valuable tools for assessing genotype by environment by management (GxExM) interactions and quantifying climate change impacts on crops. Ex-ante evaluations of adaptation options to drought stress require well-validated CSMs that are continuously improved and evaluated. This asks for high quality data from model-driven field experiments. We collected detailed data on weather, soil, and crop growth and development in one season of barley (cv. RGT Planet) field experiments at three locations in Denmark. The resultant dataset meets the highest standards for crop model improvement as defined by the modelling community. To evaluate the importance and impact of data quality on model calibration results, the CSM APSIM was calibrated for one location, first with a low, then with a medium, and finally with the high quality dataset generated in the field experiments. The low quality dataset represents a typical scenario of limited data availability for CSM calibration (e.g. limited soil description, few in-season phenology and biomass measurements). In a medium quality dataset usually better soil descriptions and phenology and biomass measurements at different crop stages are available, yet in lower temporal and spatial resolution than in a high quality dataset.

Phenology was predicted accurately with all datasets, but the highest accuracy was achieved using the high quality dataset (root mean square error RMSE low: 4.39, medium: 4.23, high: 1.56). LAI was overestimated with all quality datasets; however, the high quality calibration results were closest to the observations (RMSE low: 1.89, medium: 1.61, high: 1.09). Final grain yield was underestimated with the low and medium quality dataset but slightly overestimated with the high quality dataset, which facilitated the most accurate yield prediction (difference between modelled and observed yield: low: -6%, medium: -3.13 %, high: +1.38%).                                                                  Findings from this study support our basic hypothesis that calibrating a CSM with high quality data increases the prediction accuracy.    However, our results show that calibrating LAI and grain yield (complex traits) require more comprehensive datasets than calibrating phenology.

By generating such a high quality dataset, we contribute substantially to meeting the need for detailed and comprehensive datasets fit for model calibration and evaluation purposes, which are especially rare for northern Europe. We also found that APSIM possibly does not fully reproduce translocation processes, but this requires further field and modelling experiments.

How to cite: Appiah, M., Bracho-Mujica, G., Svane, S., Styczen, M., Kersebaum, K.-C., and Rötter, R. P.: The impact of high quality field data on crop model calibration, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2783, https://doi.org/10.5194/egusphere-egu22-2783, 2022.

EGU22-3011 | Presentations | BG3.9

Climate change signal in global agriculture emerges earlier in new generation of climate and crop models 

Jonas Jägermeyr and Christoph Müller and the GGCMI Team

Potential climate-related impacts on future crop yield are a major societal concern first surveyed in a harmonized multi-model effort in 2014. We report here on new 21st-century projections using ensembles of latest-generation crop and climate models. Results suggest markedly more pessimistic yield responses for maize, soybean, and rice compared to the original ensemble. Mean end-of-century maize productivity is shifted from +5 to -6% (SSP126) and +1 to -24% (SSP585) — explained by warmer climate projections and improved crop model sensitivities. In contrast, wheat shows stronger gains (+9 shifted to +18%, SSP585), linked to higher CO2 concentrations and expanded high-latitude gains. The ‘emergence’ of climate impacts — when the change signal emerges from the noise — consistently occurs earlier in the new projections for several main producing regions before 2040. While future yield estimates remain uncertain, these results suggest that major breadbasket regions will face distinct anthropogenic climatic risks sooner than previously anticipated.

How to cite: Jägermeyr, J. and Müller, C. and the GGCMI Team: Climate change signal in global agriculture emerges earlier in new generation of climate and crop models, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3011, https://doi.org/10.5194/egusphere-egu22-3011, 2022.

EGU22-3070 | Presentations | BG3.9

Assessing the CO2 fertilization effect on cereal yield in Morocco using the CARAIB dynamic vegetation model driven by Med-CORDEX projections 

Iliass Loudiyi, Ingrid Jacqemin, Louis Francois, Mouanis Lahlou, Riad Balaghi, and Bernard Tychon

In Morocco, the economic weight of agriculture is so high that any temporal trend or seasonality change in the climate will immediately affect the country economy, particularly that involving crops used as the basis of food security like cereals. It is therefore necessary to develop knowledge about CO2 fertilization effect on cereal crops and strengthen forecasting systems for predicting the impacts of climate change.

Dynamic Vegetation Models can be used to investigate and interpret vegetation trends related to increasing levels of atmospheric CO2. In fact, an increase in CO2 concentration causes an elevated photosynthesis rate, resulting in more energy and thus a quicker development of the plant. On the other hand, it reduces the amount of water needed to produce an equivalent amount of biomass. Hence in dry areas like Morocco, it may significantly alter future crop production and reduce the negative effects of climate change on agricultural yields.

CARAIB (CARbon Assimilation In the Biosphere) is a dynamic vegetation model developed to study the role of vegetation in the global carbon cycle and to study vegetation distribution in the past, the present, and in the future. The model is composed of several modules dealing with soil hydrology, photosynthesis and stomatal regulation, carbon allocation and biomass growth, soil and litter carbon dynamics, and natural vegetation fires. CARAIB was improved by the addition of the crop module. In fact, crop growth is driven by photosynthetic activity but differs on the use of phenological stages. Two stages are defined (from sowing to emergence, and from emergence to harvesting). These stages are completed when a prescribed level of heat is reached based on the growing degree days. The yield is then estimated from net primary productivity using a harvest index.

The simulations are performed across all Morocco. The three main cereal crops simulated include soft wheat, durum wheat, and barley, they are grown in all agro-ecological zones. The simulation of the recent period was dedicated to the validation of the crop module over Morocco. For temporal and spatial validation, we used yearly yield data collected between 1997 and 2017 at the scale of the smallest territorial unit which is the municipality. To assess the impact of CO2 concentration on cereal yield, we are using interpolated and bias-corrected fields from a regional climate model (ALADIN-Climate) from the Med-CORDEX initiative run at a spatial resolution of 12 km driven by two Representative Concentration Pathway scenarios (RCP4.5 and RCP8.5) and three horizons (2020-2040, 2041–2060 and 2081–2100). Modeling is conducted twice, one with an annually adapted concentration according to the RCPs, and another one with fixed concentration to separate the influence of CO2 from that of the other input variables.

How to cite: Loudiyi, I., Jacqemin, I., Francois, L., Lahlou, M., Balaghi, R., and Tychon, B.: Assessing the CO2 fertilization effect on cereal yield in Morocco using the CARAIB dynamic vegetation model driven by Med-CORDEX projections, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3070, https://doi.org/10.5194/egusphere-egu22-3070, 2022.

Crop identification and mapping using satellite remote sensing techniques is critical for agricultural monitoring and management. Distinguishing crops from satellite sensor image can be challenging given the irregular shape of fields, the complex mixture within smallholder farms, the variety of crops, and the frequent land use changes. The advances in satellite sensor techniques and classification algorithms allow us to acquire timely information on crop types at fine spatial scales. State-of-the-art research of crop classification involves the joint use of both optical and microwave satellite imagery.

Our current research aims to develop a recurrent neural network (RNN) for crop classification using Sentinel-1A time series backscatter images. The objectives of our study are to discriminate a wide variety of crops at fine spatial details and to increase the classification accuracy using time series images. A pilot study was performed on an area of the North-western Germany, for which we obtained the Land use registry across the growing seasons in 2018 as the ground reference data.  The area has a maritime influenced climate which is featured by warm summers and mild cloudy winters and flat terrain. The major crops identified include barley, rapeseed, rye, wheat, potatoes. We expect to observe five stages, which are planting, vegetative, reproductive, mature, and harvested stages, in the time-series pixel values of the crop types. The satellite images have been batch processed based on the ESA recommended procedures.  An initial time series analysis was performed on individual pixel values to detect and characterize the changes in different crop types. The next step was to explore the spatial distribution of the crops, i.e., the shape of the parcels. Image segmentation approaches were considered for dividing the image into small parcels for object-based image analysis rather than pixel-based classification. Because of the imbalance number of parcels, we resample pixel within parcels to avoid the problem of underfitting or overfitting.

Our modelling approaches are developed based on the Long Short-Term Memory (LSTM) deep learning models, which transform the temporal and dual-polarization input features into sequential hidden states, generate the output with scores, and then predict the crop types. This study can be extended to lands under similar climate and terrain conditions, and, with contribution to the understanding of the global agricultural system.

How to cite: Shu, Q. and Zhang, C.: Deep learning for recognizing fine detailed crop types using time series satellite radar images, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3824, https://doi.org/10.5194/egusphere-egu22-3824, 2022.

EGU22-4053 | Presentations | BG3.9

Assessment of crop yield in China simulated by 13 global gridded crop models 

Dezheng Yin, Fang Li, Yaqiong Lu, Xiaodong Zeng, and Yanqing Zhou

China is the major agricultural producing country in the world and feeds around 20% of the world population. However, few studies have assessed the crop yield in China simulated by current global crop models, which leave large uncertainties for evaluation of crop productions under future climate change. Here, we perform a systematic evaluation of China’s crop yield simulations made by CLM5-crop and 12 models from the Global Gridded Crop Model Intercomparison (GGCMI) phase I. This is done by comparing simulations of maize, rice, wheat, and soybean yield during 1980-2009 with national yield statistics. Our results show that most GGCMI models overestimate China’s maize and soybean yields, but underestimate rice yield, and fail to simulate the upward trends of the yield for the four crop types. CLM5-Crop generally reproduces the country total yields of maize, rice, and wheat well and can capture the observed significant upward trends in those three crops, although fails to reproduce the magnitude of these trends and the significant upward trend in soybean yield. Most models can simulate the interannual variability of maize yield skillfully, while work poorly for other crop types except CGMS-WOFOST and PEPC for rice, pAPSIM and CGMS-WOFOST for wheat and GEPIC for soybean. In addition, most models struggle to simulate the spatial pattern of crop yield.

How to cite: Yin, D., Li, F., Lu, Y., Zeng, X., and Zhou, Y.: Assessment of crop yield in China simulated by 13 global gridded crop models, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4053, https://doi.org/10.5194/egusphere-egu22-4053, 2022.

EGU22-4860 | Presentations | BG3.9

Drivers of water footprints in crop production across different temporal and spatial scales 

La Zhuo, Jie Gao, Wei Wang, Yilin Liu, and Pute Wu

The water footprint (WF) of crop production indicates the water consumption for crop growth in a specific area over a certain time, enabling comprehensive water use efficiency assessments to be achieved for different types of water. Improved spatial and temporal resolutions in quantification enable the water footprint (WF) in crop production to be a comprehensive indicator of water consumption in agricultural water management. However, in time, although daily and monthly blue (irrigation water) and green (rainfall) water resources are unevenly distributed in monsoon climate areas, the crop WF are generally recorded by years. In space, there is a lack of quantitative research on the effects of different spatial levels on the variation in crop WFs. Meanwhile, effect of developments in water-saving irrigation techniques on large-scale crop WF accounting is unclear yet.

We conducted a series of case studies for China in order to address above three issues. In the first selected case for maize and wheat production in the Baojixia Irrigation District (BID) of Shaanxi province in the west China, the WF of crop production was analysed based on a regional distributed hydrological model and the associated meteorological driving factors on daily, monthly, and yearly scales were identified (Gao et al., 2021). The latter two case studies focused on wheat across the whole mainland China based on gridded crop WF simulations over the period 2000-2014. The WFs of wheat production at five different spatial levels, including crop field, county, river sub-basin, provincial, and large river basin were mapped followed by an analysis of meteorological and human management factors (Mao et al., 2021). The differences in terms of magnitudes, composition, and benchmarks of wheat WF under furrow, sprinkler and micro irrigation methods as well as rain-fed conditions were further distinguished and identified (Wang et al., 2019). Results revealed non-negligible effects of temporal and spatial scales on crop WFs. The possibility and importance to account for developments of water-saving techniques in regional crop WF estimations are shown as well.

 

References

Gao, J., Xie, P., Zhuo, L., Shang, K., Ji, X., Wu, P. (2021) Water footprints of irrigated crop production and meteorological driving factors at multiple temporal scales. Agricultural Water Management, 255: 107014.

Mao, Y., Liu, Y., Zhuo, L., Wang, W., Li, M., Feng, B. (2021) Quantitative evaluation of spatial scale effects on regional water footprint in crop production. Resources, Conservation & Recycling, 173: 105709.

Wang, W., Zhuo, L., Li, M., Liu, Y., Wu, P. (2019) The effect of development in water-saving irrigation techniques on spatial-temporal variations in crop water footprint and benchmarking. Journal of Hydrology, 577: 123916.

How to cite: Zhuo, L., Gao, J., Wang, W., Liu, Y., and Wu, P.: Drivers of water footprints in crop production across different temporal and spatial scales, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4860, https://doi.org/10.5194/egusphere-egu22-4860, 2022.

EGU22-7338 | Presentations | BG3.9

Assessment of the relations between crop yield variability and the onset and intensity of the West African monsoon 

Jacob Emanuel Joseph, Anthony Whitbread, and Reimund Roetter

In rain-fed systems, efficient and timely crop planning is crucial to maximize crop production, adapt to climate variability, and increase the sustainability and resilience of the production systems. Smallholder farmers plan and anticipate possible interventions during the season based on the actual onset of the monsoon. However, their knowledge to define and predict the monsoon onset is limited to traditional methods whose predictive skill decreases significantly with a recent increase in both temperature and rainfall variability in the region. Therefore, defining the start of the monsoon accurately is a priority for improving crop production in rain-fed systems. Since the 1970s, researchers have produced more than 18 definitions—from local to regional scale—to define the start of the monsoon in the Sahel region which makes it difficult for one to find a suitable definition for a specific application. The present study compared and analyzed the West African Monsoon (WAM) onset according to Raman’s, Stern’s, Yamada’s, and Liebman’s definitions using station data from 13 locations in Senegal i.e. Dakar, Louga, Matam, St. Louis, Thies, Diourbel, Fatick, Kaffrine, Kaolack, Kedougou, Kolda, Tambacounda, and Ziguinchor from 1981 to 2020. To this end, we applied machine learning algorithms—K-means clustering and Decision Tree—to cluster the Sea Surface Temperature anomalies (SSTa) obtained from different regions of the Mediterranean and the Atlantic Ocean. We then used the clusters in the decision tree model to predict the onset and intensity of seasonal rainfall in the study locations according to the four definitions. Subsequently, we applied the set of the generated onset dates according to the four definitions as sowing dates in simulations of maize growth and yields using the  Agricultural Production Systems sIMulator (APSIM). Our analysis showed a statistically significant difference between the onset dates defined by the four definitions. Raman’s and Stern’s definitions delayed the monsoon onset at least two to four weeks after 1st June while Yamada’s and Liebman’s definitions delayed the onset one to two weeks after 1st June. Moreover, the amounts of seasonal rainfall in the season defined by Raman’s and Stern’s definitions were on average lower and more variable compared to those defined by Yamada’s and Liebman’s definitions. Similarly, we found statistically significant differences between the means of simulated maize yields in the four sets of sowing dates used. The highest yields with the lowest interannual variability were found in Yamada followed by Liebman’s sowing dates. The other sets of sowing dates had very low yields and higher variability compared to Yamada’s and Liebman’s sowing dates. We found the SSTa from the Southern Atlantic Ocean, Mediterranean Sea, and Tropical Atlantic Ocean regions as good predictors of both onset dates and intensity of the monsoon. The accuracy ranged from 50% to 80% depending on the location. 

How to cite: Joseph, J. E., Whitbread, A., and Roetter, R.: Assessment of the relations between crop yield variability and the onset and intensity of the West African monsoon, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7338, https://doi.org/10.5194/egusphere-egu22-7338, 2022.

EGU22-7514 | Presentations | BG3.9

Impact of the climate change on the crop water deficiency at the regional scale: study case in Bourgogne Franche-Comté, France. 

Séverin Yvoz, Martin Lechenet, Philippe Amiotte-Suchet, and Marjorie Ubertosi

In the Bourgogne Franche-Comté region, climate change will lead to an increase of the field evapotranspiration during the crop cycle and a modification of the rainfall distribution within the year, leading to longer and more intense drought periods in summer. This will increase the crop water requirement, while reducing water availability and accessibility, which could negatively impact agricultural productivity and stability. It is thus necessary to evaluate actual and future water deficiency in a way to develop and implement adapted responses (new farming practices, new crops, water storage…). Based on simulated weather data (rainfall and potential evapotranspiration) integrating the effect of climate change until 2100, soil characteristics (texture and depth) and crop water requirement, we estimate the daily water balance at the scale of the Bourgogne Franche-Comté region, France. We use weather data at an 8*8 square-kilometres grid and soil water capacity is estimated at the soil map unit using the methodology developed by Bruand et al. (2004). This methodology estimates the water capacity of each layer of the soil unit based on their texture class (Aisne triangle) and removing the proportion of gravels and rocks considering that their contribution to water storage is negligible. For the 10 main crops of the region in terms of field area (i.e. grassland, winter wheat, winter barley, winter oilseed rape, spring barley, maize, soybean, sunflower, winter peas and spring peas), we calculate the water balance using the methodology developed by Jacquart and Choisnel (1995) at the scale of the intersection between the weather grid and the soil map unit in a way to represent homogeneous pedoclimatic territories. The soil water capacity is thus divided in two reservoirs with no horizontal transfer. Water from the first reservoir (40% of the soil water capacity) is easily accessible to the crop while water from the second reservoir is less and less accessible as the reservoir is emptied. At a daily step, the meeting of the crop water requirement is estimated regarding the water available in the soil reservoirs and the rainfalls. This study enables to estimate the actual water deficiency of the main crops and its potential increase due to climate change. We can thus identify crops that could not be cropped anymore without irrigation in some area and estimate the water required if we want to keep these crops in the future. These results are also important to evaluate if it is possible to developed new practices or water storage in response to the effects of climate change. Our approach allows as well to evaluate and anticipate the possibility to implement new crops requiring less water, avoiding the drought periods or able to access more water in the soil. These results will allow the agricultural sector to develop outlets for these new crops.

How to cite: Yvoz, S., Lechenet, M., Amiotte-Suchet, P., and Ubertosi, M.: Impact of the climate change on the crop water deficiency at the regional scale: study case in Bourgogne Franche-Comté, France., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7514, https://doi.org/10.5194/egusphere-egu22-7514, 2022.

EGU22-7566 | Presentations | BG3.9

Towards sustainable agricultural land use in Nepal: The role of irrigation and fertilizer application 

Amit Kumar Basukala and Livia Rasche

Rice, wheat, and maize are the most important staple food crops in Nepal. Due to the complex topography and climate of the country, and a lack of agricultural inputs, the productivity of the crops has remained low over the last decades, with only moderate increases in recent years. National production cannot meet the national demand for the three crops, and food imports are necessary to close the gap. Climate and demographic change will most likely exacerbate the problem. It is therefore an objective of the Nepalese government to develop strategies to increase the productivity of the crops permanently and sustainably. A first step in this endeavour is to analyse the existing yield gap and how it may be closed, for which we use the biogeophysical crop model EPIC. We divided Nepal into 3430 homogeneous simulation units (based on climate, altitude, soil, and slope class, overlaid by district boundaries) and simulated current management practices on all units for the years 2000-2014. We then compared the resulting yields to crop production data from the Nepalese Ministry of Agricultural Development and calibrated the model until a good fit was achieved. Subsequently, we estimated maximum potential yields by simulating crop growth without nutrient or water stress, and lastly determined the yield gaps by subtracting the yields under current management practices from the maximum potential yields. We found considerable yield gaps for all three crops 2 t/ha for rice, 4 t/ha for wheat, and 4 t/ha for maize. If we compared the yield gaps between current yields and yields simulated without nutrient stress, but under rainfed conditions, the gaps were smaller, indicating that increasing fertilizer application rates should be the first step in closing the yield gap. However, due to the complicated topography of Nepal, yields and yield gaps of the crops vary considerably between regions, and measures to close the gaps will have to be customized to local conditions. This includes expanding the irrigated area in the lowland Terai regions and valleys in hilly areas where precipitation patterns change and temperature increase under climate change. The findings of this study may support policy-makers in their goal to increase grain production and ensure food security in Nepal.

 

Keywords: yield gap, water management, climate change adaptation

 
 

How to cite: Basukala, A. K. and Rasche, L.: Towards sustainable agricultural land use in Nepal: The role of irrigation and fertilizer application, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7566, https://doi.org/10.5194/egusphere-egu22-7566, 2022.

EGU22-7809 | Presentations | BG3.9

Extrapolation of the LTE data for regional prediction of crop production and agro-environmental impacts in the Czech Republic with the EPIC-based modelling system 

Kateřina Křížová, Rastislav Skalský, Mikuláš Madaras, and Juraj Balkovič

The long-term crop trials (LTE) provide valuable insights into functioning of the crop systems under variety of crop management strategies. In particular, those field operations which in long run affect the soil organic carbon balance might be of an importance for the climate change impacts oriented research. Bonded strongly to the local site conditions, LTEs provide spatially limited information, not fully reflecting the needs of the large-scale inventories covering countries or big regions. Representing LTEs with a process-based model via locally calibrated model parameters and data, and subsequent upscaling of the model with regional data on climate, terrain, soil, and land use, provides a possible way for LTEs extrapolation to wider geographical domains. As a follow-up to the earlier work on formalising LTE records from several sites in Czechia with the EPIC model, the simulation infrastructure (EPIC-IIASA (CZ)) has been created for regional predictions of crop production and its agro-environmental impacts over the whole territory of Czech Republic (CZ). Conceptually, the EPIC-IIASA (CZ) has been designed based on the EPIC-IIASA global gridded crop modelling system. A set of 977 spatial simulation units (or typical fields, > 1 ha each), which represent a unique combination of an administrative unit (level LAU1), climate region, and soil region, has been compiled using CZ national data. Each simulation unit has been used for linking spatially explicit input data on i) climate, ii) site, iii) soil properties, and iv) crop management to the process-based model EPIC. As an output, various agro-environmental variables may be acquired and visualized geographically. Initially, the spatial infrastructure worked with fixed sowing and harvesting dates across all CZ regions. In order to get the full potential of the EPIC-IIASA (CZ), a calibration with regional planting scenarios was done. Agronomically relevant planting-harvesting windows scenarios were assessed based on the published data (MOCA report), this specifically for traditional production areas in CZ (CZ_R01: Maize growing; CZ_R02: Potato growing; CZ_R03: Cereal growing; CZ_R04: Forage growing; CZ_R05: Sugar beet growing). Since there was not any yield data available for the LAU1 level administrative regions, published LAU1 estimates of the potential yields were used for validation of the EPIC-IIASA (CZ) simulated rainfed and nutrient-unlimited yields. Both absolute simulated yields and the percentage of reported potential yields were displayed geographically and spatial pattern of the simulated values evaluated. Furthermore, long-term average and inter-annual variability of simulated yields were compared to the available statistical data at the NUTS3 administrative level. To date, calibration and validation of two crops, spring barley and winter wheat were successfully performed. Other crops will be calibrated in the next step, so that representative crop rotations could be constructed and used in EPIC-IIASA (CZ) setup to properly approximate the prevailing regional cropping systems in the simulations. Such a completely calibrated and validated crop modelling system could serve as a powerful tool for extrapolating impacts of different crop management strategies, well explored with LTEs, over the larger areas, and hence, provide valuable evidence-based inputs for decision-making support at regional and national levels in CZ.

How to cite: Křížová, K., Skalský, R., Madaras, M., and Balkovič, J.: Extrapolation of the LTE data for regional prediction of crop production and agro-environmental impacts in the Czech Republic with the EPIC-based modelling system, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7809, https://doi.org/10.5194/egusphere-egu22-7809, 2022.

EGU22-7944 | Presentations | BG3.9

To what extent our food production depends on anthropogenic phosphorus? 

Josephine Demay, Nesme Thomas, Bruno Ringeval, and Sylvain Pellerin

Agricultural productivity has dramatically increased in the last sixty years, with undeniable benefits for global food security. Yet, our agricultural production systems have been built on the use of non-renewable resources, thereby altering their sustainability. Agriculture depends on fossil fuel energies – mainly to produce nitrogen fertilizers - but also on another non-renewable resource: phosphate rocks. Here we propose to quantify the reliance of our global food production on the use of fertilizer and additives derived from phosphate rocks, referred to as anthropogenic phosphorus (P). To do so, we simulated the evolution of the soil available P for 132 countries during the 1950-2017 period, with a distinction between both anthropogenic vs. natural soil P stocks. Natural P refers to P that is not derived from mined phosphate rocks. We also explicitly simulated the international trade of feed and food products, given that these fluxes participate in the transfer of anthropogenic P between countries. Finally, for each country, we calculated the P anthropogenic signature of their food production by dividing the anthropogenic P content of agricultural products by their total P content. Our results show that in 2017, the global P anthropogenic signature of food production was ~37%, with large variations across world regions. North America displayed the largest anthropogenic signature (63% ±9% in 2017), followed by Western Europe (55% ±10%), Asia (47% ±7%), Eastern Europe (35% ±10%), South America (33% ±6%), and Africa (20% ±5%). Also, the temporal evolutions of the P anthropogenic signatures reflect the dynamics of agricultural intensification observed in the different world regions. Overall, trade had a negligible effect on the P anthropogenic signature of food production, even when it contributed significantly to increase the soil P fertility of some countries (e.g. The Netherlands). Our estimates of soil P anthropogenic signatures were associated with large uncertainties, raising questions about the best way to estimate soil P legacy and about the data availability to calibrate the models. Eventually, our results highlight the large dependence of global food production to the non-renewable resources that are phosphate rocks. They suggest the urgent need to engage the transition of our food production systems toward more sustainable, input-free and circular agriculture.

How to cite: Demay, J., Thomas, N., Ringeval, B., and Pellerin, S.: To what extent our food production depends on anthropogenic phosphorus?, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7944, https://doi.org/10.5194/egusphere-egu22-7944, 2022.

The geographical range of agricultural crops is shifting under climate change as crop potential either increase or decrease. In this study, we assess the shifts in crop suitability for six major staple crops (maize, sorghum, millet, rice, cassava and wheat) across Africa by 2050 to understand crop switching and/or diversification as adaptation to climate change. While we observe that climatic suitability for four of the six crops will decrease in Africa, our results show that considering crop replacement with a more suitable crop will maintain agricultural potential in West and East Africa. Millet production can replace many maize, sorghum, cassava and wheat producing areas while fewer areas can switch to maize or wheat by 2050. We therefore provide a new empirical approach that can be used for crop shifting analysis by providing estimates of the potential in new areas. We conclude that redistribution of major staple crops according to their potential significantly reduces climate change impacts, assuming that new crops can meet calorie demands. Therefore, if farmers will grow the most suitable crops in their locations and if production can be transported and exchanged through markets between most suitable areas for a crop to less suitable areas, then climate change impacts on agriculture and food security will be reduced.

How to cite: Chemura, A. and Gornott, C.: Potential redistribution of major staple crops buffer climate change impacts on agriculture in Africa, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8866, https://doi.org/10.5194/egusphere-egu22-8866, 2022.

EGU22-9266 | Presentations | BG3.9

Regional and model-specific response types in a global gridded crop model ensemble 

Christoph Müller, Jonas Jägermeyr, Joshua Elliott, Alex Ruane, Juraj Balkovic, Philippe Ciais, Pete Falloon, Christian Folberth, Louis Francois, Tobias Hank, Munir Hoffmann, Cesar Izaurralde, Nikolay Khabarov, Wenfeng Liu, Stefan Olin, Thomas Pugh, Xuhui Wang, Karina Williams, and Florian Zabel

Crop models are often employed to project crop yields under changing conditions such as global warming and associated management change for adaptation. Multi-model ensembles are promoted to enhance the robustness of projections, but questions remain on what causes often large differences between projections of individual models. Global Gridded Crop Models (GGCMs) are especially exposed to this question when applied for assessing climate change impacts, adaptation, environmental impacts of agricultural production, because their results are used in downstream analyses, such as in integrated assessment or economic modeling for projecting future land-use change. Even though global gridded crop models are often based on detailed field-scale models or have implemented similar modeling principles in other ecosystem models, global-scale models are subject to substantial uncertainties from both model structure and parametrization as well as from calibration and input data quality.

AgMIP’s Global Gridded Crop Model Intercomparison (GGCMI) has thus set out to intercompare GGCMs in order to evaluate model performance, describe model uncertainties, identify inconsistencies within the ensemble and underlying reasons, and to ultimately improve models and modeling capacities. In phase 2 of the GGCMI activities, 12 modeling groups followed a modeling protocol that asked for up to 1404 31-year global simulations at 0.5 arc-degree spatial resolution to assess models’ sensitivities to changes in carbon dioxide (C; 4 different levels) temperature (T; 7 different offset levels), water supply (W; 9 levels), and nitrogen (N; 3 levels), the so-called CTWN experiment (Franke et al. 2020; http://dx.doi.org/10.5194/gmd-13-2315-2020).

We here present analyses of model response types using impact response surfaces along the C, T, W, and N dimensions, respectively and collectively. Doing so, we can understand differences in simulated responses per driver rather than aggregated changes in yields. We find that models’ sensitivities to the individual driver dimensions are substantially different and often more different across models than across regions. A cluster analysis finds regional and model-specific patterns. There is some agreement across models with respect to the spatial patterns of response types but strong differences in the distribution of response type clusters across models suggests that models need to undergo further scrutiny. We suggest establishing standards in model process evaluation not only against historical dynamics but also against dedicated experiments across the CTWN dimensions.

How to cite: Müller, C., Jägermeyr, J., Elliott, J., Ruane, A., Balkovic, J., Ciais, P., Falloon, P., Folberth, C., Francois, L., Hank, T., Hoffmann, M., Izaurralde, C., Khabarov, N., Liu, W., Olin, S., Pugh, T., Wang, X., Williams, K., and Zabel, F.: Regional and model-specific response types in a global gridded crop model ensemble, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9266, https://doi.org/10.5194/egusphere-egu22-9266, 2022.

EGU22-9321 | Presentations | BG3.9

Improving crop representation in an ecohydrological model: a proof of concept 

Jordi Buckley Paules, Athanasios Paschalis, Simone Fatichi, and Bonnie Warring

Agricultural crops represent some 10% of the Earth’s land surface and their sustainable management is key to maintain ecosystem services and ensure food security. Arguably, the first step towards successful management of these croplands is a detailed understanding of their intricate energy,water,carbon and nutrient dynamics. This is best achieved via mechanistic ecohydrological modeling which facilitates the study of explicit processes such as crop growth and nutrient leaching. For example, this method allows us to investigate soil biogeochemical cycling under different fertilization practices which would otherwise be challenging using an alternative empirical modelling approach. 

In this proof of concept study, we expand the T&C ecohydrological model to represent agricultural crops and the associated soil biogeochemical dynamics. This is accomplished via the introduction of a new model component which represents individual crop dynamics. Specifically, we develop new algorithms to represent crop-specific phenology, crop-specific carbon allocation schemes,  as well as crop-specific management practices which span from sowing to fertilization to harvest. We apply T&C-crop to three agricultural catchments in the UK. Model validation is performed for several crop types in terms of leaf area dynamics, crop yield, hydrological dynamics and downstream nitrogen release. 

How to cite: Buckley Paules, J., Paschalis, A., Fatichi, S., and Warring, B.: Improving crop representation in an ecohydrological model: a proof of concept, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9321, https://doi.org/10.5194/egusphere-egu22-9321, 2022.

EGU22-9368 | Presentations | BG3.9

Organic matter in farming systems in Southern Spain by LOI and Walkley-Black methods. 

Jose Navarro Pedreño, Abdelraouf Benslama, Ignacio Gómez Lucas, and María Belén Almendro Candel

Sustainable agriculture is based on the responsible use of soil resources. Soil organic matter (SOM) is one of the most important properties and would be taken in consideration in any modelization associated to the mitigation of climate change. The estimation of SOM has been widely obtained based on two main methodologies: ignition and oxidation. The method to measure soil organic matter by loss on ignition (LOI) is considered an easy and fast method. However, some interactions depending on the temperature used and the presence of carbonates, can produce overestimations. On the contrary, the Walkley-Black method (WB) is a relatively accurate method based on the oxidation of organic matter but recalcitrant carbon substances can resist this oxidative attack.

Our preliminary study aims to evaluate the relationships between these two methods in calcareous agricultural soil samples taken in the province of Alicante, in the South East of Spain. Land use were divided in three main agricultural uses: horticultural crops, fruit crops and pasture. For this purpose, 41 sites were sampling, 16 samples belong to horticultural systems, 8 to fruit crops and 17 in pasture. The samples were collected at a depth of (0-20cm).

The results of the organic matter content (mean value and standard deviation) expressed in g/kg for LOI (4h. at 380oC) and WB (traditional method) were the following for each land use: horticultural LOI=114±24 and WB=31±7; fruit crops LOI=97±4 and WB=63±51; and pasture LOI=66±19 and WB=32±17. After that, a simple linear regression was used to compare LOI and WB. The results showed the following: R2=0.31 and p < 0.01; R2=0.74 and p < 0.05; and R2=0.41 and p < 0.001; for horticultural, fruits crops and pasture land use respectively. The relation between both methods was higher under fruit crops. The mean value of carbonates for each land use group were: 112±6 in horticultural soils; 113±6 in fruits cropping system; and 11±4 in pasture. A simple linear regression was used again to compare LOI-Carbonates and WB-Carbonates in horticultural systems, fruit crops and pasture land use. In this case, the Pearson correlations were R2=0.62, p < 0.01 and R2=0.16, p < 0.001; R2=0.08, p < 0.01 and R2=0.6, p < 0.001; R2=0.006, p < 0.001 and R2=0.08, p < 0.01; respectively. No linear dependence between two variables analysed (LOI-Carbonates and WB-Carbonates) was found in any farming system.

The relation between soil organic matter content determined by using LOI and WB, revealed that a good relation was found in the pasture land use, which reflects that in uncultivated soils, organic matter would tend to the stabilization. On the other hand, the relation between soil organic matter content and carbonates, indicates that there is no relationship between them, excepting for the relationship between LOI and carbonates in horticultural soils, which may indicate that carbonates are easily degradable in cultivated soils (under intensive agriculture) and their presence can overestimate or has some influence on the soil organic matter content obtained by using the LOI method. However, more research is need to obtain satisfactory results.

How to cite: Navarro Pedreño, J., Benslama, A., Gómez Lucas, I., and Almendro Candel, M. B.: Organic matter in farming systems in Southern Spain by LOI and Walkley-Black methods., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9368, https://doi.org/10.5194/egusphere-egu22-9368, 2022.

EGU22-9944 | Presentations | BG3.9

Quantifying agricultural traits and land surface phenology metrics in Google Earth Engine. 

Matías Salinero Delgado, José Estévez, Luca Pipia, Santiago Belda, Katja Berger, Vanessa Paredes Gómez, and Jochem Verrelst

Monitoring of crop growth, variability and dynamics over agricultural areas is needed to optimize management practices and thus to ensure global food security. Nonetheless, estimation of cropland phenology from optical satellite data remains a challenging task due to the influence of clouds and atmospheric artifacts. Therefore, measures need to be taken to overcome these challenges and gain better knowledge of crop dynamics. 

Since 2017, the European Space Agency (ESA) Copernicus Sentinel-2A & B (S2) have been providing high resolution optical imagery all over the globe with an observation frequency of 5 days. With 13 spectral channels and 10-60m spatial resolution, time series of these data offer untapped potential for monitoring cultivated areas. In this respect, the processing of S2 imagery in cloud-based platforms, such as Google Earth Engine (GEE), allows large-scale precise mapping of agricultural fields. The arrival of GEE enabled us to propose an end-to-end processing chain for vegetation phenology characterization using S2 imagery at large scale.

To achieve this, the following pipeline was implemented: (1) building hybrid Gaussian process regression (GPR) models optimized with active learning (AL) for retrieval of crop traits, such as leaf area index (LAI), fractional vegetation cover (FVC), canopy chlorophyll content (laiCab), canopy dry matter content (laiCm) and canopy water content (laiCw), (2) implementing these models into GEE, (3) generating spatially continuous maps and gap-filled time series of these crop traits, and finally (4) calculating land surface phenology (LSP) metrics, such as start of season (SOS) or end of season (EOS), by using the conventional double logistic approach.

In respect to step (1): variable-specific training datasets were generated in the ARTMO software environment using PROSAIL model simulations, with training samples reduced in number but optimized in quality, i.e. representativeness, using the Euclidean-distance based (EBD) AL technique. In this way, light retrieval models were generated via GPR, a ML algorithm which builds up a retrieval model by learning the non-linear relationships between the spectral signals and crop traits of interest. Overall, good to high performance was achieved in particular for the estimation of canopy-level traits, such as LAI and laiCab, with normalized root mean square errors (NRMSE) of 9% and 10%, respectively. Subsequently, (2) the retrieval models were integrated into the GEE environment to perform mean value prediction on-the-fly. In this way, time series of crop traits based on S2 images were produced quasi-instantly over the area of interest. As demonstration of the workflow capability to easily reconstruct time series of S2 entire tiles, phenology maps from multiple crop traits were generated over an agricultural area in Castile and Leon, Spain. For this region also crop calendar data were available to assess the validity of the LSP metrics derived from crop traits. In addition, LSP metrics derived from the Normalized Difference Vegetation Index (NDVI) were used as reference, demonstrating the good quality of the quantitative traits products to describe phenology. Thanks to the GEE framework, the proposed workflow can be carried out globally in any time window, thus representing a shift in satellite data processing towards cloud computing. 

How to cite: Salinero Delgado, M., Estévez, J., Pipia, L., Belda, S., Berger, K., Paredes Gómez, V., and Verrelst, J.: Quantifying agricultural traits and land surface phenology metrics in Google Earth Engine., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9944, https://doi.org/10.5194/egusphere-egu22-9944, 2022.

EGU22-10304 | Presentations | BG3.9

Cropping Systems under Climate Change and Adaption in the Nile basin 

Albert Nkwasa, Katharina Waha, and Ann van Griensven

Most assessments of the vulnerability of agriculture to climate change do not differentiate between the impacts of climate change on the different cropping systems. However, with the Nile basin dominated by different cropping systems, assessments without examining the influence of climate change on the different cropping systems may bias the understanding of climate change impacts on agriculture. In this study, we use bias corrected climate change data from the sixth phase of the Coupled Model Intercomparison Project (CMIP6) and a regionally calibrated SWAT+ model to implement the different cropping systems and assess the impact of climate change on the crop yields from the different cropping systems with in the Nile basin. We assess both a ‘no adaptation scenario’ and an ‘adaptation scenario to a longer cultivar’.

Our analyses show that 36.3 % of the crop area in the Nile basin is under multiple (double) cropping. Results show that the combined mean crop yields in the basin decrease by 10.3 ± 1.3 % with future warming under a ‘no adaptation scenario’ but increase by 13.0 ± 4.3 % under an ‘adaptation scenario to a longer cultivar’. The decrease in mean crop yields under a ‘no adaption scenario’ was mainly attributed to the shortening of the maturity period due to increased projected temperature. The decrease signal is stronger in all the single cropping systems (1.3 – 24.6 %) as opposed to the double cropping system (0.3 – 13.3 %) under the no adaption scenario depending on the GCM (General Circulation Model). Likewise, the increase signal is stronger in double cropping systems (9.0 – 19.7 %) compared to the single cropping systems (3.5 – 8.4 %) under the ‘adaptation scenario to a longer cultivar’. Thus, farmers in the Nile basin can possibly benefit from double cropping (higher cropping intensities) systems while reducing the negative impacts of climate change on crop yields. Additionally, adapting to different crop cultivars can potentially abate the impacts of future warming on yields of selected crops.

How to cite: Nkwasa, A., Waha, K., and van Griensven, A.: Cropping Systems under Climate Change and Adaption in the Nile basin, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10304, https://doi.org/10.5194/egusphere-egu22-10304, 2022.

EGU22-11129 | Presentations | BG3.9

Effects of crop growing season length adaptation on economic climate change impacts in the agricultural sector 

David Leclere, Florian Zabel, Esther Boere, and Charlotte Janssens

The effect of agronomic R&D and field-scale management decisions in response to climate change is only imperfectly modeled in both crop and agriculture sector models at global scale, contributing to the large uncertainty in future projections of climate change impacts on the agricultural sector. For example, the observed large diversity in the growing season length of individual crops across locations under present climate owes for a significant part to a choice of crop varieties adapted to local growing climate conditions, and mobilizing such a principle (adoption of alternative existing crop varieties in a location as growing conditions change, developement of new crop varieties better adapted to the changing growing conditions) could be a significant adaptation lever for agricultural systems under future climate change (e.g., Parent et al 2018). To date no global projection of the climate change impacts on the agricultural sector has included this effect, but global crop yield projections recently became available and indicated large potential impacts (e.g., Zabel et al 2021). In this study, we link the later projections to the GLOBIOM global agricultural sector model (Havlik et al 2014, Leclere et al 2014), and will present economic impacts on the agricultural sector while accounting for uncertainties associated to the extent to which existing and newly developed cultivar could be adopted, as well as to various GHG emission scenarios, climate models and crop models. 

References: Parent et al., 2018, DOI: 10.1073/pnas.1720716115; Zabel et a., 2021, DOI: 10.1111/gcb.15649; Havlik et al, 2014, DOI: 10.1073/pnas.1308044111; Leclere et al, 2014, DOI: 10.1088/1748-9326/9/12/124018

How to cite: Leclere, D., Zabel, F., Boere, E., and Janssens, C.: Effects of crop growing season length adaptation on economic climate change impacts in the agricultural sector, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11129, https://doi.org/10.5194/egusphere-egu22-11129, 2022.

The amount of data that can be being collected and openly distributed is increasing daily, but only a fraction of this data is being used to constrain models of agricultural systems under global change and help land managers make informed land-use decisions. Until we can make models accessible to the greater public and bring models and data together, none of these resources can be used to their full potential.

Here we present the (RETINA) project: Monitoring, Reporting and Verification (MRV) systems implemented at the farm level, used to quantify soil carbon change and greenhouse gasses (GHG) emissions combined with novel approaches in predictive modelling and stakeholder engagement, culminating in negative emission strategies in managed ecosystems.

By developing a dynamic digital system that connects multi-scale sensors using AI to novel cloud-based soil carbon and GHG modelling approaches, we can detect changes in organic matter and GHG emissions across land uses. Additionally, individual user-based inputs through a mobile RETINA app capture changes in agriculture management. This data is used within the Predictive Ecosystem Analyser framework to produce forecasts of GHG emissions and carbon sequestration. Landowners are provided with decision tools to not only interpret the effects of current land management practices on future emissions and carbon sequestration, but also to explore alternative interventions that can help mitigate the effects of climate change. This study to demonstrates smart farming at a local scale, however, these approaches are applicable globally. The RETINA project provides an accessible, automated and repeatable framework that moves us towards realizing this goal.

How to cite: Cowdery, E. and Yeluripati, J.: The RETINA Project: Dynamic monitoring, reporting and verification for implementing negative emission strategies in managed ecosystems, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12764, https://doi.org/10.5194/egusphere-egu22-12764, 2022.

EGU22-12983 | Presentations | BG3.9

Global Land-Use Analysis in the Western Mediterranean area by integrating information from European Agri-Census data 

Marya Rabelo, Marta Debolini, Tiziana Sabbatini, Ricardo Villani, and Nicola Silvestri

In the last decades, Mediterranean agricultural systems have experienced significant changes in land use and agricultural practices under the pressure of the worldwide market competition, the effects of the global changes and the need to contain the environmental impacts (Bajocco et al. 2012). The Mediterranean is characterized by peculiar traits (climate, soil, orography, traditions, etc.) which are rooted in history and allow us to distinguish this agriculture from those developed in the different European regions (Debolini et al., 2018).

The study aims to describe and interpret the expansion and specialization of agricultural systems in the Western Mediterranean areas in terms of land use (cereals, forage, vegetables, etc.) by using the data from the agricultural censuses of France (FR), Italy (IT), Portugal (PT) and Spain (ES) over the 2000-2010 period. In this study, first, we chose to limit the analysis to four European countries in order to improve the accuracy and the homogeneity of the data to process. Secondly, we matched each record of data-base (single municipality) to its geographical position (Land Unit = LU) to make possible the selection of the portions of territory that can be classified as Mediterranean, according to the EU classification (Sundseth, 2009).Third, we had to verify the agreement of the different categories of crop grouping used in the different national agricultural censuses and to integrate any missing information.

For the present study, the variables selected were: TAA (Total agricultural area), UAA (Utilized agricultural area), AL (Arable lands), PWC (Permanent Woody Crops), PFC (Permanent fodder crops), and RS (Remaining Surface) totaling a dataset with approximately 16,000 records. In addition, all records of the database were georeferenced with GIS to enable the geographical evaluation of the spatial data distribution. The LAU data analysis was carried out following the four steps: (1) level of land occupation by agricultural systems; (2) patterns of crop groups in UAA composition; (3) attribution to each LAU of an agricultural typology (AT), resulting from the combination of the two previous features; (4) calculation two indexes: Expansion Index (EXP) and the Specialization Index (SPE).

Results showed lowering overtime of the TFA, UAA, and PG areas and an increase of IA and RS. The number of identified ATs was rising at the expense of their extension. This phenomenon led to a fragmentation in ATs spatial distribution within the same geographical region. Even if the range of time was short for a global analysis, we identified different interesting trends of agricultural systems, which could be confirmed with the next census expected in 2022. These aspects will be useful to make a correct diagnosis about the current Mediterranean agroecosystems and to verify if they can preserve agricultural productivity and increase the resilience of rural societies.

How to cite: Rabelo, M., Debolini, M., Sabbatini, T., Villani, R., and Silvestri, N.: Global Land-Use Analysis in the Western Mediterranean area by integrating information from European Agri-Census data, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12983, https://doi.org/10.5194/egusphere-egu22-12983, 2022.

EGU22-2369 | Presentations | HS2.2.4

Water dynamics in karst soil: Modelling matrix and preferential flow using reservoir cascade scheme approach 

Mirna Švob, David Domínguez-Villar, and Kristina Krklec

When simulating soil water content (SWC) and dynamics, the reservoir cascade scheme (RCS) approach is considered appropriate in cases when number of parameters for model calibration and validation is limited. This is often the case in Mediterranean karst soils, where due to high rockiness and shallow soil depths it is often difficult to set dense measurement network. In this study, a 1-D model which simulates SWC using RCS approach was developed for a location in central Spain. The soil on the studied site has silt loam texture and is developed on dolomite marbles. The model simulates SWC at daily resolution for six layers in soil that range from 0-50 cm depth, and has three different configurations. Configuration 1 considers only basic RCS module, while configurations 2 and 3 simulate preferential flows in soil as well. Therefore Configuration 2 considers RCS module together with continuous preferential flow module, where between 1 and 5% of available SWC is drained from each soil layer every day. Configuration 3 considers discontinuous preferential flows in addition to two previous modules. Discontinuous preferential flows are active in cases of rainfall events that occur during prolonged dry periods. Simulated SWC values are compared with SWC values measured at five depths in soil, so model parameters are iteratively adjusted to optimize the model results. The simulation produced the best results when implementing Configuration 3: when matrix flow and two kinds of preferential flow are assumed. The model shows that preferential flows could significantly contribute to recharge and should be given more attention in soil hydrological models, especially in karst terrains. It is expected that the model can be implemented in a wide range of locations with karst soils, since it requires limited number of input parameters, but in the same time provides a detailed simulation of soil drainage processes and recharge.

How to cite: Švob, M., Domínguez-Villar, D., and Krklec, K.: Water dynamics in karst soil: Modelling matrix and preferential flow using reservoir cascade scheme approach, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2369, https://doi.org/10.5194/egusphere-egu22-2369, 2022.

EGU22-3151 | Presentations | HS2.2.4 | Highlight

Improving hydrological process understanding and model prediction using soil moisture data 

Flora Branger, Ryoko Araki, Inge Wiekenkamp, and Hilary McMillan

Soil moisture is a critical control of process-based hydrologic models. This variable has so far been little used, mainly due to the difficulty to extract information from in-situ soil moisture observations that can be directly compared to simulated model variables. The concept of hydrological signature is now being increasingly used for the evaluation of hydrological models. However, hydrological signatures based on soil moisture are still rarely used.

We propose nine soil moisture signatures, encompassing three levels of hydrological time response (storm event response : rising time, normalized amplitude, response type, rising limb density, seasonal response : dates and durations of seasonal transitions, average characteristic values : distribution type, field capacity and wilting point). These signatures were applied to datasets from six in-situ observatories around the world with contrasted climates and land uses. The obtained values were analysed to assess whether the signatures could discriminate between land uses and could be interpreted in terms of hydrological processes.

Results showed that differences could be found between land uses for most signatures, and that these differences could be attributed to flow pathways or soil wetness, hence indicating that the signatures are good indicators of key hydrological processes and potentially useful for model evaluation.

How to cite: Branger, F., Araki, R., Wiekenkamp, I., and McMillan, H.: Improving hydrological process understanding and model prediction using soil moisture data, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3151, https://doi.org/10.5194/egusphere-egu22-3151, 2022.

EGU22-3514 | Presentations | HS2.2.4

Assimilation of backscatter observations in a hydrological model: a case study in Belgium using ASCAT data 

Pierre Baguis, Alberto Carrassi, Emmanuel Roulin, Stéphane Vannitsem, Joris Van den Bergh, Sara Modanesi, and Hans Lievens

We investigate the possibilities to improve hydrological simulations by assimilating active radar backscatter observations from the Advanced Scatterometer (ASCAT) in the hydrological model SCHEME. This effort is motivated by the great need of accurate initial model states in hydrological forecasting and the potential to improve them by using remotely sensed data of land surface processes. ASCAT data assimilation is enabled by coupling the Water Cloud Model (WCM) with the SCHEME model. We calibrated the WCM over two catchments in Belgium exhibiting different hydrological regimes. We explore a data assimilation system based on the Ensemble Kalman Filter (EnKF) whereby the observation operator is given by the coupling of WCM and SCHEME models. This coupling underlines the advantage of using backscatter data for assimilation purposes instead of a soil moisture product carrying its own climatology. In the present study we focus on optimising the EnKF for the task, unveil the main challenges and investigate possible solutions including methods to address the biases affecting the data assimilation procedure.

How to cite: Baguis, P., Carrassi, A., Roulin, E., Vannitsem, S., Van den Bergh, J., Modanesi, S., and Lievens, H.: Assimilation of backscatter observations in a hydrological model: a case study in Belgium using ASCAT data, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3514, https://doi.org/10.5194/egusphere-egu22-3514, 2022.

EGU22-4465 | Presentations | HS2.2.4 | Highlight

Assessing modelled hydrological responses to afforestation using hectometre-scale cosmic-ray neutron soil moisture 

Mie Andreasen, Jesper R. Christiansen, Torben O. Sonnenborg, Simon Stisen, and Majken C. Looms

Since the 1990´s, and in particular during the last decade, afforestation has become a common water management practice. Afforestation improves the quality of the groundwater resource by reducing the leaching of nutrients and pesticides in the soil. Furthermore, planting of trees is also used to capture carbon from the atmosphere as an integral element of carbon emission mitigation, for biodiversity restoration and for biofuel. With the more extensive implementation of afforestation, it is important to understand the hydrological responses and to predict and quantify these adequately using hydrological modelling.

The hydrology of the forest system is characterized by high spatial variability. The forest vegetation intercepts and redistribute a considerable fraction of the precipitation resulting in an uneven input of water at the forest floor. The transpiration and soil evaporation vary in space according to the tree root distribution and soil texture. All these factors influence the soil moisture in the unsaturated zone, the percolation, and the groundwater recharge. Hydrological models are often used to estimate the groundwater recharge rate and to obtain information of the timing of the recharge to ensure sustainable groundwater exploitation and sufficient streamflow. The high spatial variability makes it difficult to predict forest hydrology and it is important that the observations are representative of the forest plot to assess the performance of the hydrological model.

In this study, we predict the water balance for bare ground conditions and for a coniferous forest to examine the hydrological responses to afforestation. We use a physically based and spatially distributed hydrological model with an energy-based description of evapotranspiration processes (MIKE SHE SVAT). The forest model was calibrated against timeseries of throughfall and point-scale soil moisture. Simulated soil moisture is evaluated against forest plot cosmic-ray neutron and point-scale estimates. Further assessment of the model is obtained through comparison to time-series of forest plot eddy-covariance evapotranspiration estimates and observation-based and predicted interception loss. We find that the forest plot and point-scale soil moisture estimates differ which in turn affects the assessment of the reliability of the model performance. The hydrological responses of afforestation are significant, influencing the total evapotranspiration, the soil moisture and the groundwater recharge.  

How to cite: Andreasen, M., Christiansen, J. R., Sonnenborg, T. O., Stisen, S., and Looms, M. C.: Assessing modelled hydrological responses to afforestation using hectometre-scale cosmic-ray neutron soil moisture, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4465, https://doi.org/10.5194/egusphere-egu22-4465, 2022.

EGU22-5078 | Presentations | HS2.2.4

Rainfall-runoff reaction controlled by soil moisture thresholds in a small Alpine catchment 

Gertraud Meißl, Thomas Zieher, and Clemens Geitner

Since 2009, we have continuously monitored soil moisture in the Eastern Alpine torrent catchment of the Brixenbach (Tyrol, Austria). The measurement network is one of the rare with a high spatial resolution and long temporal coverage and consists of eight sites with three frequency-domain (FD) sensors 10 cm below soil surface. The resulting data allowed us to analyse the precipitation-runoff reaction of the catchment depending on the antecedent soil moisture content. In Meißl et al. (2020) we found:

  • The site-specific soil moisture medians correlate with altitude, but don’t correlate with sites’ slope, the topographic index nor the specific upslope area.
  • In contrast to the results of other authors who analysed much shorter time series, the scatter plot of the spatial standard deviation of soil moisture against the spatial mean does not show a convex shape. We found that progressive drying during rainless periods leads to increasing spatial variability of soil moisture contents at mean soil moisture values<40 vol%. Above about 42 vol% the spatial variability of soil moisture contents decreases.
  • The most exceptional out of the 547 analysed rainfall-runoff events took place at rainfall event types with high precipitation sum and long duration, but low intensity or at events with medium precipitation sum, short duration, but high intensity.
  • 244 precipitation events triggered a significant increase in soil moisture (≥ 0.5 vol%) and a total runoff of at least three cubic metres. During these events, the Brixenbach catchment showed a clear threshold behaviour: Discharge coefficients above 0.23 were only observed when the spatial mean soil moisture exceeded 43.5 vol% at the eight sites. Looking at the individual sites, this threshold is also more or less clearly visible, but at different levels. The level of the spatial mean of all sites thus depends strongly on the number and local characterstics of the sites used.
  • If we define the relative soil moisture as proportion of the maximum soil moisture content of the site during the whole measurement period, the threshold ranges between 0.65 and 0.80 with the sites’ mean of 0.72, which can be interpreted as saturation deficit of 0.28.
  • At moist conditions, event streamflow peaked prior to soil moisture, which can be explained by increased surface flow volumes at higher soil moisture as well as already initialized subsurface flow paths.

The analyses of the long-term soil moisture time series provide a valuable insight into the hydrological system of the Brixenbach catchment and may help to identify critical conditions, which may lead to floods, also under changed conditions in future.

References: Meißl G., Zieher Th., Geitner C. (2020): Runoff response to rainfall events considering initial soil moisture – Analysis of 9-year records in a small Alpine catchment (Brixenbach valley, Tyrol, Austria). Journal of Hydrology: Regional Studies, August 2020, 100711. https://doi.org/10.1016/j.ejrh.2020.100711

How to cite: Meißl, G., Zieher, T., and Geitner, C.: Rainfall-runoff reaction controlled by soil moisture thresholds in a small Alpine catchment, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5078, https://doi.org/10.5194/egusphere-egu22-5078, 2022.

EGU22-5387 | Presentations | HS2.2.4

Multiscale analysis of soil moisture variability for a typical semi-arid Mediterranean ecosystem 

Roberto Corona, Nicola Montaldo, and Gabriel G. Katul

Soil moisture content influences the partitioning of net radiation into latent and sensible heat fluxes that, in turn, affect the dynamics of the atmospheric boundary layer depth and concomitant generation of precipitation. The interactive effect between soil moisture and precipitation has been found to be stronger in areas where soil moisture temporal variability is enhanced such as in arid and semiarid regions, and in transitional regions between dry and wet climate. For this reason, variability in soil moisture at multiple time scales continues to draw attention in climate science and hydrology. In this work, the soil moisture variability at multiple scales for a typical Mediterranean ecosystem, has been quantified using the spectrum of soil moisture.The case study is the Orroli site in Sardinia (Italy), a typical semi-arid Mediterranean ecosystem which is an experimental site for the ALTOS European project of the PRIMA MED program.The spectrum of root-zone soil moisture content for this Mediterranean ecosystem is analyzed using 14-years of half-hourly measurements. A distinguishing hydro-climatic feature in such ecosystems is that sources (mainly rainfall) and sinks (mainly evapotranspiration) of soil moisture are roughly out of phase with each other. For over 4 decades of time scales and 7 decades of energy, the canonical shape of the measured soil moisture spectrum is shown to be approximately Lorentzian determined by the soil moisture variance and its memory but with two exceptions: the occurrences of a peak at diurnal-to daily time scales and weaker peak at near annual time scales. Model calculations and spectral analysis demonstrate that diurnal and seasonal variations in hydroclimate forcing responsible for variability in evapotranspiration had minor impact on the normalized shape of the soil moisture spectrum. However, their impact was captured by adjustments in the temporal variance. These findings indicate that precipitation and not evapotranspiration variability dominates the multi-scaling properties of soil moisture variability consistent with prior climate model simulations. Furthermore, the soil moisture memory inferred by the annual peak of soil moisture (340 d) is consistent with climate model simulations, while the memory evaluated from the loss function of a linearized mass balance approach leads to a smaller value (50 d), highlighting the effect of weak non-stationarity on soil moisture variability. Spatial variability in infiltration rates introduce some whitening of rainfall temporal auto-correlation recovering a spectral decay in soil moisture spectra consistent with  f2 at sub-weekly time scales, where f is the frequency or inverse time scale.

How to cite: Corona, R., Montaldo, N., and Katul, G. G.: Multiscale analysis of soil moisture variability for a typical semi-arid Mediterranean ecosystem, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5387, https://doi.org/10.5194/egusphere-egu22-5387, 2022.

EGU22-6685 | Presentations | HS2.2.4

The Valencia Anchor Station: 20 Years of Uninterrupted Scientific Activity on Validation of Low and Middle Resolution Earth Observation Remote Sensing Data and Products 

Ernesto Lopez-Baeza, David Garcia Rodriguez, Erika Albero Peralta, Antonio Garcia-Celda, Victor Asensi Ortega, Domingo J. Catalan Alcober, and Juan J. Martinez Dura

The Valencia Anchor Station (VAS) was set up by the University of Valencia at the very end of the year 2001 starting its operations on 1st January 2002. Since then, uninterruptedly, the Climatology from Satellites Group (GCS) has developed a constant activity addressed to the difficult task of characterising an area sufficiently large as to also serve as a reference site for the scientific validation of current low and middle spatial resolution remote sensing instruments onboard the missions NASA CERES (Clouds and the Earth’s Radiant Energy System) and SMAP (Soil Moisture Active and Passive), EUMETSAT GERB (Geostationary Earth Radiation Budget), ESA SMOS (Soil Moisture and Ocean Salinity), ESA-EUMETSAT EPS (EUMETSAT Polar System) MetOp, EC-ESA Copernicus Sentinel-1, -2, -3 and is getting ready for the now close ESA-JAXA EarthCARE (Earth Clouds, Aerosols and Radiation Explorer) launch and for the current GNSS-R, -iR terrestrial applications from the Galileo, BeiDou, GPS and GLONASS constellations. All these instruments have in common their middle/large footprint sizes for which a sufficiently large validation area up to about 50 x 50 km2 needs to be robustly equipped and fully characterised from different viewpoints such as soils, vegetation, atmospheric parameters, etc. This presentation shows the fundamentals of the methodologies used for the validation of surface radiation, soil moisture and biophysical vegetation parameters, and a brief summary of the field campaigns developed for the characterisation of the site in the context of the models used and some of the achievements so far obtained. Detailed account of the validation exercises for the different parameters under consideration is also given in different sessions of this EGU 22 Assembly. The paper also emphasises the role of the distributed soil measurements carried out over a large vineyard field in relation to the rest of significant parameters from a dense FAPAR (Fraction of Absorbed Photosynthetically Active Radiation) network and from an eddy-covariance station, together with the complete surface radiation network and land surface and atmospheric temperatures, also provided by the VAS. It is worth noting the role of the collaborative interdisciplinary international teams associated to the Climatology from Satellites Group in the framework of the different Missions and Agencies above mentioned, the qualitative upgrading of the VAS as a GBOV (Ground-Based Observations for the Validation of Copernicus Land Products) supersite and its future prospects by incorporating artificial intelligence and data semantics techniques. The VAS is currently jointly run by LISITT (Integrated Laboratory of Intelligent Systems and Technologies of Traffic Information), a research and development group integrated into the IRTIC (Research Institute on Robotics and Information and Communication Technologies) and by UV-ERS (Environmental Remote Sensing Group) of the Faculty of Physics, both from the University of Valencia. This guarantees the envisaged new developments planned for the VAS to offer data and products in an optimum user-friendly format by using artificial intelligence and data semantics methods.

How to cite: Lopez-Baeza, E., Garcia Rodriguez, D., Albero Peralta, E., Garcia-Celda, A., Asensi Ortega, V., Catalan Alcober, D. J., and Martinez Dura, J. J.: The Valencia Anchor Station: 20 Years of Uninterrupted Scientific Activity on Validation of Low and Middle Resolution Earth Observation Remote Sensing Data and Products, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6685, https://doi.org/10.5194/egusphere-egu22-6685, 2022.

EGU22-8625 | Presentations | HS2.2.4

Modeling soil moisture at the Valencia Anchor Station (VAS), Eastern Spain. 

Ester Carbo, Pablo Juan, Carlos Añó, Somnath Chaudhuri, Carlos Diaz-Avalos, and Ernesto López-Baeza

The prediction of spatial and temporal variation of soil water content brings numerous benefits in the studies of soil. However, it requires a considerable number of covariates to be included in the study, complicating the analysis. Integrated nested Laplace approximations (INLA) with stochastic partial differential equation (SPDE) methodology is a possible approach that allows the inclusion of covariates in an easy way.

The current study has been conducted using INLA-SPDE to study soil moisture in the area of the Valencia Anchor Station (VAS), soil moisture validation site for the European Space Agency SMOS (Soil Moisture and Ocean Salinity). The data used were collected in a typical ecosystem of the semiarid Mediterranean conditions, subdivided into physio-hydrological units (SMOS units) which presents a certain degree of internal uniformity with respect to hydrological parameters and capture the spatial and temporal variation of soil moisture at the local fine scale. The use of the INLA-SPDE methodology presents the possibility to analyze the significance of different covariates having spatial and temporal effects and has allowed us to fit spatial and temporal hierarchical models that are too complicated to be fitted by maximum likelihood methods.

The models allow to analyze the influence of hydrodynamic properties on VAS soil moisture (texture, porosity/bulk density and soil organic matter and land use) filtering out the effect of spatial and temporal variation. With the goal of understanding the factors that affect the variability of soil moisture in the SMOS pixel (50 km x 50 km), five states of soil moisture are proposed (moisture values range from values near saturation to moisture values near wilting point). Regarding the different models for the different Soil Moisture states, a general pattern was detected where both porosity and organic matter are two significant elements in all the cases. The model with all covariates and spatial effect has the lowest DIC value. In addition, the correlation coefficient was close to 1 for the relationship between observed and predicted values.

The findings of this study demonstrate an advancement in that framework, demonstrating that it is faster than previous methodologies, provides significance of individual covariates, is reproducible, and is easy to compare with models. The use of this methodology permits to design more efficient sampling campaigns for future SMOS missions. In addition, it also allows to construct soil moisture maps in a more sensible and efficient way.

 

How to cite: Carbo, E., Juan, P., Añó, C., Chaudhuri, S., Diaz-Avalos, C., and López-Baeza, E.: Modeling soil moisture at the Valencia Anchor Station (VAS), Eastern Spain., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8625, https://doi.org/10.5194/egusphere-egu22-8625, 2022.

EGU22-9849 | Presentations | HS2.2.4

Quantifying the irrigation water use by assimilating SMAP-Sentinel1 1km soil moisture data using a particle batch smoother approach 

Ehsan Jalilvand, Ronnie Abolafia-Rosenweig, Narendra Das, and Massoud Tajrishy

Irrigation is the largest human intervention in the water cycle that can modulate climate extremes. Despite the importance of irrigation, global irrigation water use (IWU) remains largely unknown. Microwave remote sensing offers a low-cost solution to quantify IWU by monitoring the changes in the soil moisture caused by irrigation. However, high-resolution satellite soil moisture data has fewer observations and might miss irrigation events. This study tests a method to quantify the IWU by assimilating high resolution (~1km), but less frequent SMAP-Sentinel1 (SMAP-S1) remotely sensed soil moisture with a land surface model. We use a particle batch smoother (PBS) to assimilate the SMAP-S1 soil moisture data with the VIC (4.2d) land surface model. It is important to remove the biases between the model and the satellite observations prior to the data assimilation, so we also evaluate the impact of model calibration during the irrigation or rainy season on the quantified irrigation. Moreover, we conducted a synthetic experiment in which the uncertainty due to the noise in assimilated soil moisture data, the frequency of the satellite observations, and the knowledge of irrigation timing was investigated. We will present the results of these studies.

How to cite: Jalilvand, E., Abolafia-Rosenweig, R., Das, N., and Tajrishy, M.: Quantifying the irrigation water use by assimilating SMAP-Sentinel1 1km soil moisture data using a particle batch smoother approach, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9849, https://doi.org/10.5194/egusphere-egu22-9849, 2022.

EGU22-10703 | Presentations | HS2.2.4

Using Matlab´s Supervised Machine-Learning Tools to Retrieve Surface Soil Moisture from Sentinel-1 SAR Data Over the Valencia Anchor Station (Spain) 

Pierre Ferreira do Prado, Iolanda Cristina Silveira Duarte, and Ernesto Lopez-Baeza

The urgency on detailing surface soil moisture content worldwide, especially in agricultural soils, is well established. The efforts of the European Space Agency (ESA), regarding the Sentinel-1 mission, facilitated a synthetic aperture radar (SAR) sensor that, in conjunction with machine-learning-based methods, can be useful  and fruitful responding to this technological demand. This paper aims at  exploring the possibility of the Valencia Anchor Station, near the city of Valencia, Eastern Spain, to provide 1 km x 1 km soil moisture products using its ground-based reference meassurements. The results suggest that, among several options, an artificial neural network using the Levenberg-Maquardt learning algorithm, based on soil moisture recovery from Sentinel-1 SAR radar data should be preferred for this site. Among other options, the so called fine-tree regression also presented relevant results. All of this allows us to gain insights into the complexity of the relation SAR´s backscatter – surface soil moisture relation for this site, also aiming at the potential extension of this knowledge to other sites where Sentinel-1 data is available, for example, in framework of the Joint Research Center "Ground-Based Observations for Validation (GBOV) of Copernicus Global Land Products" Project.

How to cite: Ferreira do Prado, P., Silveira Duarte, I. C., and Lopez-Baeza, E.: Using Matlab´s Supervised Machine-Learning Tools to Retrieve Surface Soil Moisture from Sentinel-1 SAR Data Over the Valencia Anchor Station (Spain), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10703, https://doi.org/10.5194/egusphere-egu22-10703, 2022.

EGU22-10810 | Presentations | HS2.2.4

Machine learning-based multilayer soil moisture datasets: SoMo.ml 

Sungmin Oh, Rene Orth, and Seon Ki Park

Soil moisture information is valuable for a wide range of applications in various fields such as hydrology, agriculture, and climate. Although spatially continuous soil moisture data can be obtained from satellite observations or model simulations, each type of data has its own uncertainty and bias. In this study, we use machine learning as a hydrologic model and generate a gridded soil moisture dataset—SoMo.ml—that can complement existing soil moisture datasets (O and Orth, 2021). We train a Long Short-Term Memory neural network model using in-situ measurements to extrapolate daily soil moisture dynamics in space and in time. The first version of the data, SoMo.ml v1, provides multilayer soil moisture (0-10cm, 10-30cm, and 30-50 cm) at 0.25° and daily resolutions for the period 2000-2019; it has been actively used for drought analysis, data comparison, and other relevant research. The dataset is freely available from https://www.bgc-jena.mpg.de/geodb/. Given the growing needs for this unique soil moisture dataset, SoMo.ml v2 is currently under development, which aims to provide soil moisture data over Europe with a higher spatial resolution (0.1°). In this presentation, we will introduce the SoMo.ml datasets and show examples of data applications in other studies.

 

Reference: O and Orth, Global soil moisture data derived through machine learning trained with in-situ measurements. Sci Data, (2021). https://doi.org/10.1038/s41597-021-00964-1

How to cite: Oh, S., Orth, R., and Park, S. K.: Machine learning-based multilayer soil moisture datasets: SoMo.ml, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10810, https://doi.org/10.5194/egusphere-egu22-10810, 2022.

EGU22-10926 | Presentations | HS2.2.4

Root-zone “Periscope” and its applications for investigating plant-soil water relations and transpiration modelling 

Huade Guan, Zijuan Deng, Hailong Wang, Xiang Xu, Yuting Yang, Na Liu, Zidong Luo, Cicheng Zhang, John Hutson, Xinping Zhang, Xinguang He, and Craig Simmons

Since the first stoma appeared about 400 million years ago, moisture exchange between lands and the atmosphere extends into the root zone. However, due to its invisibility from the surface, root distribution and its temporal variation are difficult to estimate, which greatly hinders investigation of root zone moisture dynamics, soil-plant water relations, and transpiration modelling. Plant water potential reflects dynamic water condition in vegetation, which is determined by moisture supply in the root zone, atmospheric demand, and plant physiological control. Thus, dynamic water potential can provide a “periscope” to observe root zone hydraulic conditions. Based on this hydraulic connection in the soil-plant-atmosphere continuum (SPAC), plant individuals work very likely as “observation wells” to the whole root zone at predawn, and as “pumping test wells” in daytime. Meanwhile, stable isotopic composition of water in plant xylem approximately reflects the isotopic signature of bulk root accessible moisture. These hydraulic and isotopic root-zone periscopes provide information to estimate root-zone and plant hydraulic states and their dynamics, and hydraulic properties. In this presentation, we will show how this root-zone periscope concept, based on continuous monitoring of plant water potential, sapflow, and/or isotopic composition of xylem water, has been successfully applied in SPAC model development, root water uptake model improvement, transpiration model parameterisation, as well as investigation of ecohydrological separation.

How to cite: Guan, H., Deng, Z., Wang, H., Xu, X., Yang, Y., Liu, N., Luo, Z., Zhang, C., Hutson, J., Zhang, X., He, X., and Simmons, C.: Root-zone “Periscope” and its applications for investigating plant-soil water relations and transpiration modelling, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10926, https://doi.org/10.5194/egusphere-egu22-10926, 2022.

EGU22-11052 | Presentations | HS2.2.4 | Highlight

Assessing the suitability of remote sensing estimates of soil moisture and land evaporation in Switzerland for a better preparedness for projected drying trends 

Dominik Michel, Annkatrin Burgstall, Martin Hirschi, Anke Anke Duguay-Tetzlaff, and Sonia I. Seneviratne

Climate projections indicate an increasing risk of dry and hot episodes in Central Europe, including in Switzerland. However, models display a large spread in projections of changes in summer drying, highlighting the importance of related observations to evaluate climate models and constrain projections. Land hydrological variables play an essential role for these projections. This is particularly the case for soil moisture and land evaporation, which are directly affecting the development of droughts and heatwaves in both present and future.
The recent 2020 spring as well as 2015 and 2018 summer droughts in Switzerland have highlighted the importance of monitoring and assessing changes of soil moisture and land evaporation, which are strongly related to drought impacts on agriculture, forestry, and ecosystems.
The only Switzerland-wide soil moisture monitoring programme currently in place is the SwissSMEX (Swiss Soil Moisture Experiment) measurement network. It was initiated in 2008 and comprises 19 soil moisture measurement profiles at 17 different sites (grassland, forest and arable land). Since 2017, seven grassland SwissSMEX sites are complemented with land evaporation measurements from mini-lysimeters.
Here we analyze long-term satellite-based drought parameters, namely ASCAT Soil Water Index (SWI) derived from an H SAF test data set and LSA SAF Meteosat land evaporation products. We compare the satellite-based datasets with the SwissSMEX in-situ measurements of soil moisture and lysimeter land evaporation. The comparison of in-situ soil moisture and land evaporation data with the satellite parameters shows strong agreement in terms of anomalies. SWI indicates high correlations of 0.6 to 0.8 with in-situ measurements. The Meteosat land evaporation products strongly agree with measurements, with correlations of 0.7 and 0.9 for potential and actual land evaporation, respectively (Burgstall et al.).
These analyses provide useful insights in order to provide near-real time monitoring, enhance process understanding and for a better preparedness for future droughts.

References:
Burgstall, A. et al., Climatological drought monitoring in Switzerland using EUMETSAT SAF satellite products, Remote Sensing, in preparation.

How to cite: Michel, D., Burgstall, A., Hirschi, M., Anke Duguay-Tetzlaff, A., and Seneviratne, S. I.: Assessing the suitability of remote sensing estimates of soil moisture and land evaporation in Switzerland for a better preparedness for projected drying trends, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11052, https://doi.org/10.5194/egusphere-egu22-11052, 2022.

EGU22-11356 | Presentations | HS2.2.4

High resolution soil drought simulations evaluated at an unprecedented broad-range of soil moisture networks in Germany 

Friedrich Boeing, Oldrich Rakovec, Rohini Kumar, Luis Samaniego, Martin Schrön, Anke Hildebrandt, Corinna Rebmann, Stephan Thober, Sebastian Müller, Steffen Zacharias, Heye Bogena, Katrin Schneider, Ralf Kiese, and Andreas Marx

The 2018-2020 consecutive drought events in Germany resulted in impacts related with several sectors such as agriculture, forestry, water management, industry, energy production and transport. The key to increase preparedness for extreme drought events are high-resolution information systems. A major national operational drought information system is the German Drought Monitor (GDM), launched in 2014 [1]. It provides daily soil moisture (SM) simulated with the mesoscale hydrological model (mHM) and its related soil moisture index [2] at a spatial resolution of 4×4 km². The release of the new soil map BUEK200 allowed us to increase its model resolution to ≈1.2×1.2 km², which is used now for the second version of the GDM [3].

To explore the ability of the GMD-v2 to provide drought information at one-kilometer scale, we evaluated mHM soil moisture simulations against an unprecedented large sample of soil moisture observations from 40 locations across Germany. These SM observations are obtained from single profile measurements, spatially distributed sensor networks, cosmic-ray neutron stations, and lysimeters over a wide range of climatic conditions, vegetation types and soil depths. Specifically, the study aimed at answering two research questions: 1) how well do high-resolution German-wide soil moisture simulations capture the dynamics in observed soil moisture that constitute the basis for the near real-time soil moisture drought monitoring system? 2) Does the mHM simulations obtained with the high spatial resolution data set provide soil moisture estimates with greater model efficiency than those obtained in the coarser resolution?

The results showed that the agreement of simulated and observed SM dynamics is especially high during the vegetation period (0.84 median Spearman correlation(r)) and lower in winter (0.59 median r). Moderate but significant improvements between the low- and high-resolution GDM versions to observed SM were found in correlations for autumn (+0.07 median r) and winter (+0.12 median r). The spatially distributed sensor networks outperformed single profile measurements with higher than average correlation values especially for the 25–60 cm depth, which supports the closer scale match of spatially distributed measurements to the simulations. The results indicate areas for potential improvement and shows limitations from both: model parameterization (e.g., improvement of local scale hydrological processes) and observations methodology (e.g., reduction of measurement errors). Finally, the results of this study underline the fact that nationwide drought information systems depend both on appropriate simulations of the water cycle and a broad, high-quality observational soil moisture database.

References:

[1] Zink, M. et al. doi: 10.1088/1748-9326/11/7/074002 , 2016

[2] Samaniego et al. doi: 10.1175/jhm-d-12-075.1 2013

[3] Boeing, et al. doi: 10.5194/hess-2021-402 2021 (in revision)

How to cite: Boeing, F., Rakovec, O., Kumar, R., Samaniego, L., Schrön, M., Hildebrandt, A., Rebmann, C., Thober, S., Müller, S., Zacharias, S., Bogena, H., Schneider, K., Kiese, R., and Marx, A.: High resolution soil drought simulations evaluated at an unprecedented broad-range of soil moisture networks in Germany, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11356, https://doi.org/10.5194/egusphere-egu22-11356, 2022.

EGU22-11462 | Presentations | HS2.2.4

Multi-source soil moisture data fusion based on high-resolution land surface simulation and machine learning 

Junhan Zeng, Yuan Xing, Peng Ji, and Chunxiang Shi

Soil moisture (SM) plays an important role in hydrological processes and land-atmospheric interactions, and serves as an important boundary condition for the weather forecasting and climate modeling. Influenced by global environment change, SM changes significantly at local scales which rises the great need of high-resolution SM products to provide locally relevant information. However, the three SM estimation approaches, namely in-situ observation, remote sensing retrieval and land surface modeling, all have their disadvantages. Although recent works produce a combined SM products by merging the in-situ observations and several land surface simulation products, the long-term high-resolution SM product integrating multivariate data including remote sensing products is still lacking. In this study, high-resolution land surface modeling, high-resolution remote sensing products and SM observations from more than 2000 stations will be combined to generate spatially continuous and temporally complete soil moisture data in China by using the random forest algorithm. We first performed land surface simulations by using the Conjunctive Surface-Subsurface Process version 2 (CSSPv2) model forced by three meteorological forcings including the China Meteorological Administration Land Data Assimilation System version 2.0 (CLDASv2.0), ERA5 and GLDASv2.1. The validations over 2090 in situ stations during 2012–2017 showed that CLDASv2.0/CSSPv2 soil moisture simulation performed better than ERA5 and GLDASv2.1 reanalysis products, with an increased correlation of 26%–68% and reduced errors of 14%–24% at the daily time scale. The improvements mostly originate from the use of an advanced LSM because CLDASv2.0/CSSPv2 only increased the correlation by 5%–35% and decreased the errors by up to 9% when compared with ERA5/CSSPv2 and GLDASv2.1/CSSPv2. Due to the high accuracy of CLDASv2.0/CSSPv2 product, it will be used as a background to fuse the in-situ observations and satellite remote sensing soil moisture. The 70% of the observation site data, remote sensing products and CLDASv2.0/CSSPv2 product will be used to train the random forest model and generate a high resolution soil moisture product from 2008 to 2017, and another 30% of the site data will be used to evaluate the accuracy of the results. Such a SM product can describe the spatial and temporal distribution characteristics of soil moisture heterogeneity more accurately, and thus provide sufficient data support for scientific research and social development.

How to cite: Zeng, J., Xing, Y., Ji, P., and Shi, C.: Multi-source soil moisture data fusion based on high-resolution land surface simulation and machine learning, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11462, https://doi.org/10.5194/egusphere-egu22-11462, 2022.

EGU22-11810 | Presentations | HS2.2.4 | Highlight

Analysing the impact of calibrating a low-cost soil moisture sensor on FAO Aquacrop model performance. 

Soham Adla, Felix Bruckmaier, Leonardo Francisco Arias Rodriguez, Shivam Tripathi, Markus Disse, and Saket Pande

Poverty reduction programs across the world have invested in the agriculture sector, specifically in agricultural technology. Irrigation remains a crucial input to agriculture, and the lack of access to supplemental irrigation aggravates the distress of farmers, particularly, smallholders. Crop simulation models use parameters like crop characteristics, environmental conditions and management practices in combination with the local input data, to compute the 'yield response of crops to water', to better inform irrigation decision-making, for saving resources and/or increasing yield. Soil moisture data can be critical to develop more representative crop models by influencing soil hydraulic parameter estimation, and consequently improving the simulation of soil water movement. The dearth of cost-effective soil moisture sensors is a limitation to their effective incorporation in crop modelling, but calibrating them against primary or secondary standards can expand their scope of application. This study applies different calibration techniques on the low-cost capacitance based soil moisture sensor, Spectrum SM100. Calibration techniques include segmented linear regression, polynomial regression, spline regression, and machine learning algorithms such as support vector regression, random forest regression, multi-layer perceptron, extreme learning machine and support vector categorization. Independent soil moisture data are taken as both continuous and categorical variables, are calibrated both in the laboratory and field, and validated using field data. Field data is obtained from an experimental field in Kanpur (India) during a wheat cropping season in 2018. The experimental site is representative of an intensively managed rural landscape in the Ganga river basin, India. The calibrated soil moisture data are subsequently used in the  crop-water productivity model FAO Aquacrop to tune its soil hydraulic properties. Various models are developed with soil hydraulic parameter sets estimated using the calibrated soil moisture data. The respective performances of these models are compared with the default model performance (with parameters derived from the literature), based on outputs of interest such as above ground biomass, crop yield and water use efficiency. A representative crop model is then used to develop scenarios of irrigation scheduling, with varying degrees of water stress. Results indicate that calibrating the soil moisture sensors in laboratory conditions alone is not sufficient to parameterize soil hydraulic properties, and adequate parameterization requires sensor calibration in field conditions. Further, a cost-benefit analysis is conducted to assess and critically discuss the tradeoffs between the cost of soil moisture monitoring and the obtained crop yield.

How to cite: Adla, S., Bruckmaier, F., Arias Rodriguez, L. F., Tripathi, S., Disse, M., and Pande, S.: Analysing the impact of calibrating a low-cost soil moisture sensor on FAO Aquacrop model performance., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11810, https://doi.org/10.5194/egusphere-egu22-11810, 2022.

EGU22-12864 | Presentations | HS2.2.4

Ecohydrological responses to a series of dry years at the TERENO Observatory NorthEast Germany 

Theresa Blume, Andreas Güntner, Markus Weiler, and Ingo Heinrich

Ecohydrological consequences of dry years are difficult to predict. To understand the underlying drivers and responses, extensive monitoring over longer periods of time is a prerequisite. We are here providing an overview of multi-year monitoring of different forest stands in the TERENO Observatory NorthEast Germany. These forest stands include pure oak, beech and pine stands as well as mixed stands and the experimental design also allows the comparison of sites with and without accessibility to groundwater. Monitoring covers a large number of variables with high temporal resolution, such as soil moisture and groundwater dynamics but also sapflow and tree growth. Due to the deep groundwater levels and the high conductivity of the sandy soils, water storage dynamics in the large unsaturated zone and the deeper root zone are of special importance. Soil moisture monitoring therefore extends down to a depth of 2m. We provide an overview of the ecohydrological responses of this forest system to the extreme summer and fall of 2018 as well as the progression in the following years.

How to cite: Blume, T., Güntner, A., Weiler, M., and Heinrich, I.: Ecohydrological responses to a series of dry years at the TERENO Observatory NorthEast Germany, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12864, https://doi.org/10.5194/egusphere-egu22-12864, 2022.

EGU22-3564 | Presentations | HS6.5

Benefits of Sentinel-1 backscatter assimilation to improve land surface model irrigation estimates in Europe 

Sara Modanesi, Christian Massari, Michel Bechtold, Angelica Tarpanelli, Luca Brocca, Hans Lievens, Wouter Dorigo, Luca Zappa, and Gabriëlle De Lannoy

Irrigation has been applied by humans for as long as they have been cultivating plants. Nowadays, the amount of water used for agricultural purposes is rising because of an increasing food demand. However, this human influence on the water distribution on land is typically not, or poorly, parameterized in regional and larger-scale Land Surface Models (LSM). Satellite-based microwave observations indirectly observe irrigation, when they sense the entire integrated soil-vegetation system. The optimal integration of fine-scale modeling and satellite observations using data assimilation (DA) is promising to detect irrigation and possibly improve the estimation of irrigation amounts.

This work was realized in the framework of the European Space Agency (ESA) Irrigation+ project. The main aim of this study was to test potential improvements in irrigation simulation due to the assimilation of 1-km Sentinel-1 backscatter data into a system composed by the Noah-MP LSM, equipped with a sprinkler irrigation scheme, and a backscatter operator represented by a Water Cloud Model (WCM), as part of the NASA Land Information System (LIS).  The calibrated WCM was used as an observation operator in the DA system to map model surface soil moisture and Leaf Area Index (LAI) into backscatter predictions and, conversely, map observation-minus-forecast residuals in backscatter back to updates in soil moisture and LAI through an Ensemble Kalman Filter (EnKF). Two separate DA experiments were realized using backscatter data at VV and VH polarizations. The system was tested  at two irrigated sites, located in the Po Valley (Italy) and in northern Germany.

Results confirm a stronger link between the backscatter VV with soil moisture and larger updates in the vegetation state variables when using the VH polarization. The backscatter DA introduced both improvements and degradations in soil moisture, evapotranspiration and irrigation estimates. The spatial and temporal scale had a large impact on the outcomes, with more contradicting results for a detailed analysis at the plot scale. Above all, this study sheds light on the limitations resulting from a poorly-parameterized sprinkler irrigation scheme which prevents large improvements in the irrigation simulation due to the ingestion of Sentinel-1 data and points out to future developments needed to improve the system.

How to cite: Modanesi, S., Massari, C., Bechtold, M., Tarpanelli, A., Brocca, L., Lievens, H., Dorigo, W., Zappa, L., and De Lannoy, G.: Benefits of Sentinel-1 backscatter assimilation to improve land surface model irrigation estimates in Europe, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3564, https://doi.org/10.5194/egusphere-egu22-3564, 2022.

Irrigated rice agriculture, if traditionally conducted applying continuous flooding, requires much more irrigation water than non-ponded crops. This is usually a constraint in areas facing water scarcity issues that might directly affect rice production and the competition for water. Climate change might furthermore amplify current difficulties, depending on the hydrological regime, the availability of irrigation infrastructures, rice variety and rice agronomic management practices, among other factors.

Whereas different water availability conditions determine differences in rice growth and yields, the response of this crop is not well established for the rice producing area of the Lower Mondego region (Portugal), which is identified as an area vulnerable to climate change, in particular with respect to increasing precipitation and temperature variability. In coastal areas’ lowlands, the groundwater table (e.g., depth and quality) can also play an important role, namely under the influence of sea level rise. For this region, in the proximity of the Atlantic Ocean, we report on using remote sensing tools to assess irrigated rice growth, in areas i) served by a full gravity irrigation system, and ii) fed directly from a small, non-regulated, river. The data used in our study include land surface images of rice cultivated areas obtained from satellite Sentinel-2A during several years (including a particularly dry year). Although the remote sensing data available from satellite multispectral imagery present some practical constraints (e.g. cloud cover, resolution), results from this study show that remote sensing tools, including the Normalized Difference Vegetation Index (NDVI), are able to differentiate between established rice growth phases, which highlights their usefulness as rice monitoring tools and potential role in assessing the impact of applying different irrigation and agriculture management practices on rice cultivation.

This work was conducted under the umbrella of the international project MEDWATERICE (www.medwaterice.org) that focuses on improving the sustainable use of water in the Mediterranean rice agro-ecosystem and aims at exploring the opportunity to apply water-saving, alternative, rice irrigation methods.

How to cite: Gerardo, R. and de Lima, I.: Rice monitoring in Lower Mondego (Portugal) using multi-temporal Sentinel-2 satellite images: comparison between different irrigation conditions, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7942, https://doi.org/10.5194/egusphere-egu22-7942, 2022.

EGU22-10127 | Presentations | HS6.5

Irrigation management though the assimilation of multiple remote sensing data into an energy-water-crop model 

Chiara Corbari, Ahmad Al Bitar, Drazen Skokovic, josè sobrino, and marco mancini

The agricultural sector is the biggest and least efficient water user, accounting for around 80% of total water use in South Europe, which will be further impacted by climate change in the incoming years. Precision agriculture tools are then needed to increase water use efficiency.

Here, the proposed system couples together remotely sensed land surface temperature (LST), leaf area index (LAI) and ground soil moisture data (SM) with a pixel wise crop-water-energy balances model, for improving irrigation management. The SAFY (Simple Algorithm for Yield) crop model has been fully coupled with the energy water balance FEST-EWB model, exchanging in a double direction the LAI evolution in time from SAFY, which is used by FEST-EWB for evapotranspiration computation, while FEST-EWB provides soil moisture (SM) and LST to SAFY model for constraining crop growth.

A data assimilation framework, based on the Ensemble Kalman filter approach, is implemented to reduce the requirements for parameters calibration, either for soil assimilating satellite LST and for crop growth using LAI. This framework allows overcoming the issues related to crop exposure to shocks due extreme events non-reproducible by the model alone, as well as nutrient lack, crops hybrids or precise amount of irrigation water.

The FEST-EWB-SAFY model has been applied in two Irrigation Consortia in the North and South of Italy which differ for climate and agricultural practices, using data from Sentinel2, Landsat 7 and 8 satellites. The model has then been validated in specific fields where ground measurements of evapotranspiration, soil moisture and crop yields are available.

Overall, the results suggested that the under-calibrated model estimates of LST, LAI, SM and yield are enhanced through the assimilation of satellite data, suggesting the potential for improving irrigation management at both field and Irrigation Consortium scales.

How to cite: Corbari, C., Al Bitar, A., Skokovic, D., sobrino, J., and mancini, M.: Irrigation management though the assimilation of multiple remote sensing data into an energy-water-crop model, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10127, https://doi.org/10.5194/egusphere-egu22-10127, 2022.

EGU22-11841 | Presentations | HS6.5

Trends of crop daily water requirements driven by 50-years global hydro-climatic data 

Stefania Tamea, Matteo Rolle, and Pierluigi Claps

The impact of climate forcings on the agricultural water demand is a key issue for a globalized food secure world. Most of the withdrawn freshwater is globally consumed by agriculture and assessing how climate variability affect the crop irrigation requirements is essential for effective irrigation policies and large-scale water management. Moreover, given that rainfed agriculture provides 60% of total food production and it is highly dependent on meteorological factors, the assessment of climate-driven changes of crop water requirements and water stress periods is very important to highlight potential impacts on the global food security.

This study deals with the spatio-temporal changes of crop water requirements over 50 years, considering 26 main agricultural products. A comprehensive model for the assessment of daily crop water requirement has been used, based on a soil water balance and considering both rainfed and irrigated scenarios. The analysis exploits the potential of the ERA5 reanalysis dataset from the Climate Change Service of the Copernicus Programme, providing hydro-climatic variables over a multi-decade period. The study analyses the variability of water requirement induced by climate variability and the consequent periods of water stress and irrigation volumes per unit harvested areas.

Results show the evolution of water requirement from 1970 to 2019, enabling the analysis of trends in stressed periods over rainfed areas and of changes in irrigation requirements over lands equipped for irrigation. Significant increases of water stress have been found in almost 40% of global rainfed areas, and 62% of irrigated lands require more irrigation comparing the 1970s and 2010s decades. The irrigation requirement has been estimated per crop, pointing out significant increases through the years and comparing the length of dry periods with the precipitation availability during the growing seasons. A global assessment of crop requirement changes can support policies of water management in different areas of the world, considering also the effects of climate change in the densely harvested areas of the world.

How to cite: Tamea, S., Rolle, M., and Claps, P.: Trends of crop daily water requirements driven by 50-years global hydro-climatic data, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11841, https://doi.org/10.5194/egusphere-egu22-11841, 2022.

EGU22-11902 | Presentations | HS6.5

Monitoring and integrating the expansion of vegetated areas with the rate of groundwater use in arid regions 

Mona Morsy, Silas Michaelides, Thomas Scholten, and Peter Dietrich

Frequent water table measurements are crucial for sustainable groundwater management in arid regions. These locations have developed a problem with excessive withdrawal throughout time. However, continuous readings are not available for the majority of these locations. Therefore, an approximate estimate of the rate of increase/decrease in water consumption over time may serve as a temporary substitute for the missing database. The goal is achieved by tracking the increase/decrease in vegetated areas that will generally correlate with changes in the rate of water use. The technique is based on two remote sensing data sets: Landsat7&8 from 2001 to 2021 and Sentinel2A from 2015 to 2021, as well as five vegetation indices: Normalized Difference Vegetation Index (NDVI), Renormalized Difference Vegetation Index (RDVI), Soil Adjusted Vegetation Index (SAVI), Enhanced Vegetation Index (EVI), and Transformed Vegetation Index (TVI). The datasets chosen provided the best performance for small-scale land farms at the research location. (Landsat7) data with a resolution of 30m revealed a substantial increase in land farms from 2.9km2 in 2001 to 23.3km2 in 2021. The use of the five indices with (Sentinel2A) allowed the classification of vegetated regions as heavy, moderate, or light, as well as the tracking of each class's increase from 2015 through 2021. Additionally, preliminary scenarios were built to measure the pace of growth in water use at the research site by evaluating the rise in vegetated areas and obtaining general information about crop types from farmers. Finally, the NDVI index was modified to better suit the arid areas. The new index is named Arid Vegetation Index or (AVI).

How to cite: Morsy, M., Michaelides, S., Scholten, T., and Dietrich, P.: Monitoring and integrating the expansion of vegetated areas with the rate of groundwater use in arid regions, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11902, https://doi.org/10.5194/egusphere-egu22-11902, 2022.

EGU22-12078 | Presentations | HS6.5

Importance of land-cover data-set spatio-temporal resolution on water budget modeling in highly irrigated areas, Telangana, India 

Abhilash Kumar Paswan, Sylvain Ferrant, Adrien Selles, Virendra Mani Tiwari, and Shakeel Ahmed

Falling water tables in several parts of India, especially in the southern part, experiencing semi-arid climatic conditions with hard rock aquifer systems, possess a threat to food, water and economic security to millions of citizens. Understanding of the water budget in such an area is paramount to take necessary steps towards planning of water usage and its management. Land use information at 1km is recognized as sufficient in hydrological modeling. But what is the best resolution of land use forcing variables for agro-hydrological modeling to simulate the water budget by taking agricultural water withdrawal into account. This study focuses on the use of medium (500m) and high resolution (10m) land cover maps derived from satellite products to map the seasonal rice inundated area extent in the Telangana state to estimate the Irrigation Water Demand (IWD) and withdrawal. We employed Soil and Water Assessment Tool (SWAT), a process based ecohydrological river basin or watershed model, to assess how resolution of land use maps may affect the water budget representation of Telangana. The model is calibrated and validated for a period from 2015 to 2020 (6 years) using monthly river runoff data, groundwater and terrestrial water fluctuation derived from respectively governmental piezometric observations (TSGWD) and GRACE. An uncertainty analysis was performed using the Sequential Uncertainty Fitting (SUFI-2) algorithm. Preliminary results suggest that though trends in runoff are influenced by climate drivers, as southwest monsoon contributes appx. 80% of annual rainfall. However, the farmers seasonal land cover adaptation to surface and groundwater availability have a strong impact on water balance over the study area. Precise land cover information of such temporal variations based on appropriate spatial resolution satellite observations contributes to accurate estimate of IWD especially in groundwater fed areas where rice areas are spread in small aggregates. This study also highlights the adaptation and importance of temporal and spatial resolution of datasets in strategic planning and water management practices in water stressed regions. 

How to cite: Paswan, A. K., Ferrant, S., Selles, A., Tiwari, V. M., and Ahmed, S.: Importance of land-cover data-set spatio-temporal resolution on water budget modeling in highly irrigated areas, Telangana, India, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12078, https://doi.org/10.5194/egusphere-egu22-12078, 2022.

EGU22-12307 | Presentations | HS6.5

A novel methodology for mapping irrigation types from very high resolution remotely sensed data 

Giovanni Paolini, Maria jose Escorihuela, Joaquim Bellvert, Olivier Merlin, josep Maria Villar, and Ivan Cester

This research aims at introducing a new methodology to create maps of irrigation types at very high resolution, with yearly updates. While different studies were already performed on simply mapping irrigated areas, there is still no research on classifying irrigation types based on remotely sensed data. This information has a critical scientific value since detailed information on irrigation greatly improves the understanding of human activities on the water cycle. In particular, precise knowledge of different irrigation types is needed in order to correctly model the anthropogenic impact in various land surface models (Ozdogan et al., 2010; Evans and Zaitchik, 2008). Additionally, these maps are also useful for administrative purposes, to estimate the percentage of different irrigation types, monitor changes in irrigation practices and consequently encourage more sustainable use of the freshwater resources. In this research, we produce maps of irrigation types combining state-of-the-art supervised AI classification algorithms for time series classification together with a selection of hydrological variables. In order to train and test the AI models, a field campaign to collect ground truth data was performed in November 2020 around the intensely cultivated region of Catalunya, Spain. From this campaign, important information about crop types and irrigation types (sprinkler, flood, drip/subsurface and non-irrigated) were retrieved for a large number of fields, ensuring to collect a representative sample of the different cultivation and irrigation types employed in the area. Three different models were tested using as inputs a large variety of hydrological variables both alone and combined in multivariate models. Two machine learning models, Time-Series Forest and Rocket, and one Deep Neural Network model, ResNET, were selected for this classification task. The classification was performed using time-series from three different years in order to train the models with a more general and robust dataset, independent from specific meteorological conditions of a single year. The main finding of the research was that Soil Moisture (SM) and Actual Evapotranspiration (ETa) at very high spatial resolution (20 m) consistently showed the highest accuracy, when combined together, with respect to the other variables considered, regardless of the AI model used. Additionally, ResNET showed consistently better performance than the other two AI models over all the metrics used for the comparison (accuracy, precision, recall and kappa). The final classification accuracy retrieved from ResNET using SM and ETa as inputs was 86.59 +/- 2.79, obtained from 10 different runs of the model trained each time with different ground truth data subsamples. As a result of these findings, yearly maps of irrigation types can be created for large areas at field level, delivering detailed information on the status and evolution of irrigation practices.  

REFERENCE:

Ozdogan, M.; Rodell, M.; Beaudoing, H.K.; Toll, D.L. Simulating the effects of irrigation over the United States in a land surface model based on satellite-derived agricultural data. J. Hydrometeorol 2010, 11, 171–184.

Evans, J.P.; Zaitchik, B.F. Modeling the large-scale water balance impact of different irrigation systems. Water Res. 2008, 44, W08448.

How to cite: Paolini, G., Escorihuela, M. J., Bellvert, J., Merlin, O., Villar, J. M., and Cester, I.: A novel methodology for mapping irrigation types from very high resolution remotely sensed data, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12307, https://doi.org/10.5194/egusphere-egu22-12307, 2022.

EGU22-13316 | Presentations | HS6.5

The economic value of ensemble numerical weather forecasts combined with remote sensing data and hydrological modeling for irrigation scheduling: an application to Southern Italy 

Anna Pelosi, Giovanni Battista Chirico, Salvatore Falanga Bolognesi, Carlo De Michele, and Guido D'Urso

The use of numerical weather prediction (NWP) outputs in hydrological modeling combined with remote sensing data for forecasting irrigation water demand in the short-medium term, has becoming one of the key actions adopted in precision farming for decreasing water and energy consumptions in the long-term perspective of sustainability.

In the last decades, ensemble prediction systems (EPS) have been developed to support operational decision-making processes in many environmental fields. Unlike traditional deterministic forecasts where the numerical weather prediction model is run only once, in EPS the NWP model is run several times from very slightly different initial conditions and perturbed model parameters, to produce an ensemble of forecasts that are used to account for uncertainty in initial atmospheric conditions and NWP model errors. Moreover, in recent years, limited area ensemble prediction systems (LEPS) have been developed as dynamic regional downscaling of global ensemble prediction systems, opening new opportunities for the application of weather forecasts in agriculture and water resource management. Indeed, high resolution probabilistic forecasting may allow water irrigation managers to set-up agrometeorological advisory services based on a more reliable risk analysis.

This study exploits the potential economic benefit (i.e., economic value) related to the use of an ensemble numerical weather prediction model, such as COSMO-LEPS (20 members, 7 km of spatial horizontal resolution) for irrigation scheduling at farm scale in Southern Italy, by combining its outputs with high resolution satellite images in the visible and near infrared wavelengths for crop parameter estimations. An adaptive ensemble Kalman filter is employed for bias correcting weather forecasts by assimilating ground based meteorological variables. Then, a bucket model for soil-vegetation-atmosphere modeling is implemented for providing spatial and temporal estimates of crop water requirements and irrigation schedules along with their predictive uncertainty.

How to cite: Pelosi, A., Battista Chirico, G., Falanga Bolognesi, S., De Michele, C., and D'Urso, G.: The economic value of ensemble numerical weather forecasts combined with remote sensing data and hydrological modeling for irrigation scheduling: an application to Southern Italy, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13316, https://doi.org/10.5194/egusphere-egu22-13316, 2022.

SSS11 – Material and Methods in Soil Science

EGU22-2708 | Presentations | SSS11.1

Variations of 7Be concentration in plants and its significance for 7Be in soil on the Loess Plateau, China: Based on three-year monitoring data 

Xuantian Li, Fengbao Zhang, Yanxing He, Claudio O Delang, and Mingyi Yang

Aims  With the wide application of 7Be (Beryllium-7) in soil erosion investigations, absorption and interception of 7Be by vegetation play an important role in documenting soil 7Be redistribution, with a large impact on the precision of 7Be measurements. However, the dynamic changes in plants and the relationship with soil 7Be concentration remain unclear, and the significance of dead plants in 7Be interception is under-researched.

Methods  The samples of 6 plant species, multi-plants (including living, dead and both mixed) and soil reference on the Loess Plateau were collected to analyze the variations of 7Be content during the growth period from 2010 to 2012.

Results  The accumulation of 7Be concentration is significantly higher in leaves than stems. The 7Be mass and areal activity concentrations in multi-plants with seasonal trends ranged from 173.9 to 964.5 Bq kg–1 and 21.5 to 440.1 Bq m–2. Precipitation accounted for the largest contribution to the accumulation of 7Be in plants, followed by plant growth, species and parts. Plants accounted for 7Be interception on slope up to 66% (living plants accounted for 7%~31% and dead accounted for 6%~44%). The interception of living plants is low at first, then increases with biomass accumulated.

Conclusions  Our results highlight that 7Be concentration in plants has great implications for 7Be in soil, and is subject to precipitation, growth status and plant characteristics. The reference information obtained in this work will contribute to improving the accuracy of 7Be tracer technology, and broadening the application scope and scale of 7Be tracer technology.

Keywords  Beryllium-7 · Loess Plateau · Precipitation · Plant · Activity concentration

How to cite: Li, X., Zhang, F., He, Y., Delang, C. O., and Yang, M.: Variations of 7Be concentration in plants and its significance for 7Be in soil on the Loess Plateau, China: Based on three-year monitoring data, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2708, https://doi.org/10.5194/egusphere-egu22-2708, 2022.

Quantitative assessment of soil erosion and deposition rates using fallout radionuclides, including Beryllium-7 (7Be), requires reliable reference inventory, a crucial parameter in the conversion models. However, little information is currently available on the microscale spatial variabilities of 7Be inventory at reference locations, producing less confidence in the accuracy of the estimated soil redistribution rates with 7Be measurements.

To address this need, 44 soil cores were sampled extensively at 1 m intervals on a 5×12 m2 bare flat reference plot in each year of 2019 and 2021 in Southwestern China. Surface soil samples were collected using a stainless steel cylinder with an internal diameter of 10 cm and a height of 3 cm. The soils are purple soils characterised by a silt loam texture. 7Be activity concentrations in <2 mm particles were measured to explore potential variability of fallout inventory at the microscale within the reference area. To determine possible causes of 7Be variation in soils, physicochemical characteristics including organic matter content (OM), pH, cation exchange capacity (CEC) and grain size compositions were also analysed. 

In the case of 2019, 7Be mass activities in soil samples ranged from 2.5 to 10.9 Bq kg-1 and the areal activities ranged from 82.7 to 417.6 Bq m-2. The deposition of 7Be was higher in 2021, with mass activities ranged between 5.6 and 22.1 Bq kg-1 and the areal activities between 213.9 and 775.6 Bq m-2. The higher inventory of 7Be in 2021 (211.1 ± 66.2 Bq m-2, mean ± 1SD) than that of 2019 (456.1 ± 145.5 Bq m-2) can be explained by higher rainfall amounts of 384.0 mm in 2021 (January 1 - May 18) 2021, compared with 225.4 mm for 2019 (January 1 - May 15). The coefficient of variation (CV) analysis indicated that soil pH and CEC were the most stable properties at the study site with CVs ranged from 1.3 to 5.1%. In contrast, 7Be contents in soils, in terms of both mass and areal activities, exhibited almost the strongest variation with CVs around 30%. No significant correlations were noted between 7Be activities and the measured soil properties. The high degree of spatial viability in 7Be areal activities at the reference site indicates that the simple assumption of uniform distribution of 7Be across the reference site needs detailed examination. A spatially-integrated sampling design is recommended to improve the accuracy of reference inventory estimates and thus soil erosion assessment with 7Be technique.

How to cite: Shi, Z., Long, Y., and Wen, A.: Microscale spatial variability of 7Be inventory at a reference site and its implications for soil erosion estimation, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3270, https://doi.org/10.5194/egusphere-egu22-3270, 2022.

Identification the effects of land use and vertical zone on soil erosion is vital to optimize land management in mountainous areas. In this study, the variation in soil erosion rate under typical land uses and vertical zones in a small agricultural catchment of the Daliangshan region (DLS), Southwest China, were evaluated using the cesium-137 tracer technique. Ten plots representing five land uses with four typical vertical zones (valley, low mountain, middle mountain and subalpine) were selected herein. Two parallel downslope transects were built in each plot, and soil samples were collected at 3-7 m intervals along these transects. The results showed that the sloping farmland (4.82 kg·m-2·y-1) and grassland (4.09 kg·m-2·y-1) soil erosion rates were significantly higher than those in abandoned farmlands (0.91 kg·m-2·y-1) and forest lands (0.80 kg·m-2·y-1), and horizontal terraces were dominated by net deposition (with erosion rate of -0.62 kg·m-2·y-1). The low mountain zone yielded the highest erosion rate (5.65 kg·m-2·y-1), followed by the middle mountain (2.96 kg·m-2·y-1) and subalpine (1.46 kg·m-2·y-1) zones, and the lowest erosion rate (1.28 kg·m-2·y-1) was observed in the valley zone. In addition, the soil erosion rate showed significant correlations (P<0.05) with sloping farmland proportion. The results indicate that land use controls soil erosion, and the vertical zone associated with land use patterns, topography, and human activities impact soil erosion variation. The low mountain zone near the catchment lower reaches has the highest erosion rate, largely because it is dominated by steep sloping farmlands and affected by immigration from high-altitude areas. Our findings highlight the importance of agricultural activities in sloping farmlands regarding soil erosion acceleration and the role of vertical zone in soil erosion rate impact. Appropriate management measures must be implemented to prevent soil erosion in the low mountain zone with increasing anthropogenic activities.

How to cite: Wu, H., Xiong, D., and Yuan, Y.: Variation in soil erosion rate under typical land uses and vertical zones in an agricultural catchment of the Daliangshan region, Southwest China, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3375, https://doi.org/10.5194/egusphere-egu22-3375, 2022.

EGU22-3726 | Presentations | SSS11.1

The effect of rainfall pattern on sediment source in a small catchment on the Chinese Loess Plateau 

Ying Liu, Mingyi Yang, Fengbao Zhang, and Jiaqiong Zhang

Understanding the influence of rainfall pattern on suspended sediment source on catchments and river basin scales is of great importance for reasonable implementing of soil conservation and sediment control measures. Such information, however, is unavailable or difficult to assemble. According, this study used the rainfall data from 2011 to 2013 recorded by pluviograph to analyze the effect of rainfall pattern on sediment source in the Qiaozi West catchment on the Chinese Loess Plateau. The suspended sediment in six erosive rainfall events were continuous collected at the outlet of the catchment and surface soil samples were collected from potential sediment sources  including, inter-gully (farmland, forest, grassland) and gully areas (gully slope and gully wall) of the watershed. A total of 54 rainfall events were divided into four patterns according to the variation of rainfall intensity in rainfall processes, which were advanced, intermediate, delayed, and uniform patterns. The rainfall was dominated by the advanced pattern in the studied catchment, which accounts for 43% of all observed rainfalls. There were six rainfall events had suspended sediment samples, two intermediate pattern erosive rainfall events generated the largest percentage of the total sediment yield of six events. The results based on the composite fingerprinting approach indicated that farmland and gully wall were the main sediment source in the catchment regardless of rainfall patterns. However, cultivated field having loose topsoil created in tillage has relatively high contribution to suspended sediment in runoff at the advanced pattern, while loose materials from collapsed gully walls has relatively high contribution to suspended sediment in runoff at the intermediate and delayed rainfall pattern. Further studies are necessary to gain better insight into erosion pattern variation under different rainfall pattern.

How to cite: Liu, Y., Yang, M., Zhang, F., and Zhang, J.: The effect of rainfall pattern on sediment source in a small catchment on the Chinese Loess Plateau, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3726, https://doi.org/10.5194/egusphere-egu22-3726, 2022.

Sediment source fingerprinting using a variety of soil tracers has been widely adopted for obtaining reliable sediment source information, which enables efficient catchment soil conservation and sediment management campaigns. But increasing challenges are rising towards the implementation of this technique against the context of complex landscape configurations and diverse human practices. Recent studies have examined and confirmed the within-source and temporal variability of tracer signatures, herein highlighting the “non-conservative” nature of traditional well-recognized tracers. In China, the landscape fragmentation under the household-base land use system, especially in hilly and mountainous regions, has exaggerate this issue. For example, the complex spatial configuration of mosaic land use patches and dynamic inter-season cropping transitions may significantly complicate soil imprinting processes, leading to highly variability of tracer signatures in a single source group even across a relatively small spatial scale, as well as the season changes of tracer signature for a given sampling unit. In response to this potential uncertainty, improvement of sampling strategies (e.g., increase sample number by enhance sample representativeness, repeated sampling to cover different cropping season) could be an potential option for technique refinement.

How to cite: Tang, Q. and He, X.: Spatial and Temporal variability of fingerprint signatures for sediment source apportionment: implications for technique refinement, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4152, https://doi.org/10.5194/egusphere-egu22-4152, 2022.

The Grain for Green Project is one of the important projects implemented by the Chinese government to control soil erosion on the Loess Plateau, and its successful implementation has brought remarkable ecological benefits to relevant regions in China. The land use change is the most intuitive representation. Meanwhile, the soil erosion and soil nutrient distribution has also been influenced to produce significant changes. In this research, the characteristics of soil erosion and nutrient loss characteristics of soils from different land utilization types including apple, shrub, forest, grass and gully land, and their relationship were quantitative evaluated with 137Cs tracer technique in a typical watershed, which is located in Yan'an city of northern Shaanxi province in China. Results showed that soil erosion was observed in the all-land use types but shrub land, however, the degree of soil erosion was slight (the maximum value of soil erosion rate for 151.27 t/km²•a). The soil erosion of forest was significant differences with apple, shrub and gully but not with grassland. As will as there were significant differences in among shrub, apple orchard and gully. The soil nutrient loss, soil nutrient status and soil erosion degree showed a very similar pattern of spatial variation, with the difference that the correlation coefficients were different. In addition, there was highly significantly positive correlation between three indicators. However, Soil total nitrogen, total phosphorus, organic matter, N/P and C/P significantly affected the total nitrogen loss, total phosphorus loss and organic matter loss, but C/N ratio and nutrient loss were not significant. Soil nutrient loss in small watershed was more closely related to the soil carbon and nitrogen and soil erosion. The basic contents of different nutrients affected their nutrients loss laws, by and large, soil erosion affected soil nutrient loss and results in differences in nutrient distribution in the small watershed. 

How to cite: Zhang, N.: Assessment of soil erosion and nutrient loss characteristics using fallout 137Cs on the Loess Plateau, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4308, https://doi.org/10.5194/egusphere-egu22-4308, 2022.

EGU22-4387 | Presentations | SSS11.1

A model on changes in 210Pbex depth distribution for abandoned farmland 

Yong Yuan, Xiong Donghong, Zhang Yunqi, Zhang Baojun, and Zhang Xinbao

        Fallout radionuclides such as 137Cs and 210Pbex have been successfully used to quantify rates of soil and sediment redistribution in many areas of the world in recent years. However, little attention has been given to the assessment of soil erosion rate in the abandoned farmland using the 137Cs and 210Pbex tracer techniques. The artificial derived 137Cs is still basically uniformly distributed in the soil after farmland abandonment, while the depth distribution of the natural derived 210Pbex in the soil of the abandoned farmland will be continuously changed by the combined effects of its continuous atmospheric deposition, infiltration and radioactive decay within 100 years after farmland abandonment. At present, there is no model to represent this change of 210Pbex distribution after the farmland abandonment, and the existing steady-state 210Pbex model is not suitable for soil erosion assessment in the abandoned farmland. It is necessary to develop a model on the changes of 210Pbex depth distribution in the soil of abandoned farmland. In this study, the redistribution process of 210Pbex in the soil after farmland abandonment was decomposed and theoretically deduced on basis of analyzing the physical mechanisms of 210Pbex infiltration and decay in soil. The expression of 210Pbex decay in the plough layer on the initial abandoned farmland and the expression of infiltration of the new fallout 210Pbex in soil after farmland abandonment were incorporated to develop the model on changes in 210Pbex depth distribution for the abandoned farmland. The parameters such as the plow depth and the diffusion coefficient required for the model were obtained according to the measured 137Cs and 210Pbex depth distributions from the typical abandoned farmlands in Sichuan Province, southwest China. The result showed that the modeled curves of 210Pbex depth distribution in the farmland abandoned for 19, 15 and 8 years matched each other with the measured curves. In addition, the Nash-Sutcliffe efficiency coefficient (ENS) test showed that the ENS of the three abandoned farmland were 0.975, 0.961 and 0.889, respectively, indicating the modeled results are reliable. The present study has an important theoretical significance for the development of the models for calculating the soil erosion amount from 210Pbex measurements on the abandoned farmland, and further provides an effective method for the evaluation of the soil erosion response driven by abandonment.

How to cite: Yuan, Y., Donghong, X., Yunqi, Z., Baojun, Z., and Xinbao, Z.: A model on changes in 210Pbex depth distribution for abandoned farmland, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4387, https://doi.org/10.5194/egusphere-egu22-4387, 2022.

Studies on the soil erosion rate for aeolian grassland are crucial for accessing the effect of grassland restoration. Sandy land is widely distributed in the alpine grassland areas of Northern Tibet where the conflict between grass and livestock is severe. In order to effectively curb grassland degradation and reduce desertification, a series of protection projects have been implemented in that area. However, due to the lack of continuous observations in the field, the quantitative research on soil erosion process of alpine grassland has been relatively lagging behind, especially the impact of protection projects on soil erosion is difficult to evaluate. We compared soil erosion rates with and without fence protections through 137Cs and 210Pbex trace technique. We also combined soil erosion in sand source areas with vegetation and a near-source climbing dune to illustrate the effect of fence protection. The results showed that: (1) The area of fence protection reduced soil erosion, the soil erosion rates of 137Cs and 210Pbex in fenced protected area were 0.99 t·ha-1·yr-1 and -0.12 t·ha-1·yr-1, respectively, while those in free grazing areas were 3.68 t·ha-1·yr-1 and 0.46 t·ha-1·yr-1, respectively. (2) Fence protection significantly improved vegetation coverage, the average NDVI of fenced protected areas increased by 0.027 from 2011 to 2019, with a growth rate of 67.43%. The average NDVI in fenced protected areas in 2019 was 1.34 times that of free grazing areas. (3) After the implementation of the fence protection in the sand source area, the climbing dune had shown a development trend from mobile to semi-fixed dune from the foot of the climbing dune to the middle (about 100m distance). Therefore, our results highlighted that fence protection was the major reason for the mitigation of soil erosion in the alpine grasslands, which were the source of sand, and their climbing dunes. The results can be used as a reference for the evaluation of grassland restoration effectiveness on the Qinghai-Tibet Plateau.

Keywords: Soil erosion; Radionuclides; Fence protection; Alpine grassland; Climbing dune

How to cite: Liu, L., Yuan, Y., Xiong, D., and Zhang, X.: Preliminary evaluation on soil erosion of alpine grassland fence project based on 137Cs and 210Pbex trace technique in the Northern Tibet, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4973, https://doi.org/10.5194/egusphere-egu22-4973, 2022.

EGU22-6654 | Presentations | SSS11.1

Evaluating the effectiveness of soil conservation at the basin scale using floodplain sedimentary archives 

Xiaolei Wang, William Blake, Alex Taylor, Kitch Kitch, and Geoffrey Millward

Evaluation of the spatial and temporal composition of floodplain sediments and soils is critical in the creation of advanced soil management strategies for riverine catchments. The fertile catchment of the River Avon (Southwest, England) has natural and anthropogenic impacts that require enhanced definition aiding the development of a catchment management plan. The catchment was compartmentalized into its main functional units namely, cultivated land, pasture, woodland, wet moorland, and channel bank. Sediment samples were collected in each unit as surface soils and four cores were obtained along the floodplain. The samples were analyzed for particle size, fallout radionuclides and elemental concentrations. Sediment particle sizes and sediment accumulation rates (SARs) were affected by the construction of a reservoir, whereby the distributions of silt and clay in the floodplain were most affected over the past 60 years. Fertilizer components, Cr and P, were correlated in the mid-catchment, which unraveled downstream due to elevated concentrations of Cr from a geological source. Copper, As, Pb and Sn had variable down-core distributions, with pulses in concentrations due to mining inputs. The contributions of the end-member sources of particulate elements were evaluated, quantitatively, using a Bayesian Mixing Model. The statistics showed that cultivated land made a significant contribution to the sediment mixtures, independent of space and time. The results contribute to improvements in soil quality and soil conservation measures for the Avon which maybe applicable to other small catchments in the UK and elsewhere.

How to cite: Wang, X., Blake, W., Taylor, A., Kitch, K., and Millward, G.: Evaluating the effectiveness of soil conservation at the basin scale using floodplain sedimentary archives, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6654, https://doi.org/10.5194/egusphere-egu22-6654, 2022.

    It is well-known that 137Cs has been widely applied as a powerful tracer for soil erosion and sediment dating studies since the 1960s. However, due to its relatively short half-life (30.2 year), the concentrations of global fallout 137Cs in the environment have decreased by a factor of more than 2 comparing to the levels in the 1960s due to its radioactive decay, and this declined trend will continue. This makes the applications of 137Cs for investigations of soil erosion, transportation and sedimentation less sensitive at present and will become difficult in the future. 239Pu and 240Pu, because of the long half-lives (T1/2=24100 year for 239Pu and T1/2=6561 year for 240Pu), their dominating source of nuclear weapons testing fallout worldwide, as well as their high retention and low mobility in soil, they were suggested as an ideal substitute of 137Cs for environmental tracing studies. In recent years, with the rapid development of sensitive measurement techniques using mass spectrometry especially the inductively coupled plasma mass spectrometry (ICP-MS), the application of Pu isotopes in environmental studies becomes more attractive and competitive. Here we presented some preliminary studies regarding Pu isotopes as tracers for soil erosion studies and lake sediment dating in China. Our results indicated that Pu isotopes are powerful and promising tracers in future environmental studies.

How to cite: Xu, Y.: Plutonium isotopes as a good tracer for environmental studies, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6732, https://doi.org/10.5194/egusphere-egu22-6732, 2022.

The riverine derived particles play significant roles in sedimentological and geomorphological processes as well as biogeochemical cycles in estuaries. We collected a suite of water and sediment samples from the Changjiang (Yangtze) Estuary and adjacent East China Sea during to observe variations in the particulate 234Th, 7Be, 210Pb, and 137Cs activities as well as in particle transport, deposition, and resuspension. In the Changjiang Estuary, sedimentary particles in the North Passage experienced net deposition during neap tides whereas those in more seaward areas of the North Passage exhibited net resuspension during spring tides. based on a two-dimensional model of 7Be, 234Th, and 210Pb. Using 7Be/210Pbex and 137Cs/210Pbex activity ratios as tracers, we deduced that most of particles in the North Passage were not derived from the direct deposition of Changjiang input particles but were transported there from sediment deposited offshore. These riverine particles would undergo 3-6 years multiple cycles of deposition-resuspension-transport-deposition-resuspension before eventually buried in the shelf or export from inner shelf. The 7Be/210Pbex ratio indicates a southward transport pathway in spring and northeastward transport pathway in summer. Besides, 210Pb budget in the inner shelf of the ECS show that a small fraction (at most 14% of annual Changjiang sediment discharge in 2011) of particles could be transported offshore. The ratio of the mobile mud inventory of 234Thex/production in the overlying water column of > 2.5 in south inshore indicates that the sediment focusing resulted in the increased mass flux.

How to cite: Wang, J.: Changjiang sediment discharge to the East China Sea at the time scale of months to years, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10802, https://doi.org/10.5194/egusphere-egu22-10802, 2022.

EGU22-10909 | Presentations | SSS11.1

210Pbex records the historical sediments accumulation in the water-level fluctuation zone of the Three Gorges Reservoir, China 

Jinlin Li, Xiubin He, Yuhai Bao, Xinbao Zhang, Jie Wei, and Qiang Tang

Impoundment regulation of the Three Gorges Reservoir (TGR) has created a water-level fluctuation zone (WLFZ) with a vertical height of 30 m and a total area of 349 km2. This special zone received approximately 7% of the total sediment captured by the TGR. The present study aims to reveal the history of sediments accumulation since the WLFZ was formed in 2006. A sedimentary core was retrieved from a representative floodplain at the lower part of the WLFZ and subsequently sectioned with an interval of 5 cm. Particle composition, 137Cs and 210Pbex activities of sediment were measured after pretreatment. The result shows that the 210Pbex activity can be used as a proxy for the seasonal high-resolution dating of sediment in the WLFZ, due to the sediments deposited during the dry season have high 210Pbex activity, while the opposite is true for sediments deposited in the wet season. Then, the annual sequence of the sedimentary profile has been established based on the distribution pattern of 210Pbex activity. The inter-annual variation of the sedimentary rate is shown as ‘low-high-low-high’, and mutation years are 2008, 2014, and 2018, corresponding deposition rates in these four periods are 12.5, 45, 20, and 32.5 cm, respectively. In the early period of the formation of the WLFZ (2006-2007), the staged impoundment of the TGR was the key influencing factor of the sedimentary rate. Afterward, the annual sedimentary rate was consistent with the suspended sediment load supplied into the TGR. From 2014 to 2017, due to the interception of the cascade reservoirs in the lower reaches of the Jinsha River, the suspended sediment load dropped sharply, resulting in a decrease in the sedimentation rate. From 2018 to 2019, the sedimentation rate of the floodplain increased owing to the increase in the suspended sediment load caused by frequent extreme rains in the upper reaches of the Yangtze River basin.

How to cite: Li, J., He, X., Bao, Y., Zhang, X., Wei, J., and Tang, Q.: 210Pbex records the historical sediments accumulation in the water-level fluctuation zone of the Three Gorges Reservoir, China, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10909, https://doi.org/10.5194/egusphere-egu22-10909, 2022.

EGU22-11139 | Presentations | SSS11.1

Use of composite fingerprinting technique to identify sources of fine-sediment deposited in a reservoir 

Mingyang Xu, Yunqi Zhang, Tong Wu, Zhaoran Li, and Yong Wang

Abstract: Geochemical fingerprinting was used to identify the sources of fine sediments derived from three types of contrasting lithological zones and deposited in a reservoir in a medium-sized catchment over the past 60 years. The impact of grain-size sorting on the source of fine sediments in the reservoir was investigated. Overall, the fine sediment sources identified in the sediment cores indicated changing trends in sediment contribution from the three types of lithological zones during the past 60 years. Although the granite zone covers half of the catchment, has thicker soils, is more prone to soil erosion, and has been subjected to more human disturbance than the limestone and shale zones, it only provided 25% of the fine sediment in the cores. The limestone and shale zones, on the other hand, account for 23% and 15% of the catchment, respectively, but produce 42% and 33% of the fine sediment in the cores. This is due to grain-size sorting in the reservoir system during downstream sediment transit and deposition. These data show that grain-size sorting has had a significant impact on the sediment source. This study provides new insight into the source of sediments deposited in a reservoir system from different lithological zones at the scale of a medium-sized catchment across multi-decadal periods.

 

Keywords: Sediment source; Composite fingerprinting techniques; Reservoir Contrasting lithologies

How to cite: Xu, M., Zhang, Y., Wu, T., Li, Z., and Wang, Y.: Use of composite fingerprinting technique to identify sources of fine-sediment deposited in a reservoir, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11139, https://doi.org/10.5194/egusphere-egu22-11139, 2022.

EGU22-428 | Presentations | SSS11.2

Mapping Groundwater-dependent Ecosystems in Arid Central Asia: Implications for Controlling Regional Land Degradation 

Hu Liu, Chan Liu, Yang Yu, Wenzhi Zhao, Zhao Zhange, Li Guo, and Omer Yetemen

Groundwater-dependent ecosystems (GDEs) exist all over the world, especially in water-limited regions. To achieve better water management, it is necessary to map and identify GDEs. Central Asia (CA) is one of the most arid regions in the mid-latitudes and one of the major regions with shallow groundwater tables. However, the role of groundwater in the impacts of climate change and regional anthropogenic activities on environmental risks, especially regional desertification, is inadequately understood due to the limited available research on GDEs. In the present study, a remote sensing-based method was used for mapping GDEs in regional CA, and three means—overlay analysis, correlation analysis, and the water balance method—were adopted to validate the accuracy of the mapping outcomes. Our results indicated that: 1) GDEs were concentrated around large lakes and in central Kazakhstan (between 46°N and 50°N latitudes), and areas "Very Likely" and "Likely" to be GDEs accounted for 36.89%, and 28.85% of the total natural vegetation areas, respectively; 2) at the watershed scale, the Sarysu Basin had the largest proportion (94.02% of the area) of potential GDEs while the Ysyk-Kol Basin had the lowest proportion (17.84%); 3) all the three validation methods indicated a good performance for our GDE mapping results. We concluded that the remote sensing-based GDE identification method can be considered a potential approach for mapping GDEs regionally. Better recognition of relationships among groundwater availability, ecosystem health and groundwater management policies should be developed by conducting further studies, to protect GDEs and to prevent regional land degradation. 

How to cite: Liu, H., Liu, C., Yu, Y., Zhao, W., Zhange, Z., Guo, L., and Yetemen, O.: Mapping Groundwater-dependent Ecosystems in Arid Central Asia: Implications for Controlling Regional Land Degradation, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-428, https://doi.org/10.5194/egusphere-egu22-428, 2022.

Grass coverage and check dam construction are important measures for soil and water conservation in Loess Plateau. They have a significant effect on the reduction of runoff and sediment, but the synergistic effects of their regulation of hydrological processes are not well understood. To understand the synergistic effects of grass and check dam construction on water erosion process, physical models of 10 slope-gully systems were established including grass cover slopes (0% and 33%) and dam land settlement slope-gullies (0,1, 2, 3 and 4 m during settlement). The single grass coverage reduced runoff and sediment of 155.91 L and 15155.33 g, respectively. Sediment reduction increased with siltation depth: 4 m (18056.73 g) > 3 m (15990.79 g) > 2 m (14173.79 g) > 1 m (6027.13 g), and the runoff reduction followed as: 4 m (122.21 L) > 3 m (87.48 L) > 2 m (50.37 L) > 1 m (28.77 L). Grass coverage and sedimentation had synergistic effects on water erosion, and the synergistic effects of sediment reduction increased with sedimentation process: 4 m (19.83%) > 3 m (18.68%) > 2 m (17.39%) > 1 m (16.70%). The results indicated that grass coverage on the slope and dam land sedimentation had a synergistic effect on hydrological process, which should not be ignored in the evaluation of soil and water conservation measures regulation.

How to cite: Shi, P., Bai, L., Li, Z., and Li, P.: Synergistic effects of grass coverage and dam land sedimentation on runoff and sediment yields in slope-gully system on the Loess Plateau of China, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2835, https://doi.org/10.5194/egusphere-egu22-2835, 2022.

This paper used a long series of daily flow data of Ankang section from 1960 to 2020 to diagnose eco-hydrological variations in the upper reaches of the Hanjiang River. Aiming at the problems of the single hydrological variable used in watershed hydrological variation diagnosis, a method for extracting the most Ecologically Relevant Hydrologic Indicators (ERHIs) based on sensitive indicators of similar years and diagnosing the variation period was proposed. In this method, 32 hydrological indexes in the IHA index system were used to diagnose hydrological variation instead of the traditional single index, and the IHA index were refined into wet season index and dry season index based on different hydrological characteristics. Ten years were randomly selected from the long series flow data as the sample years and ten similar years corresponding to each sample year were selected for the determination of ERHIs. The indexes with strong variation were selected from ERHIs to diagnose hydrological variation. Through comprehensive variation diagnosis calculation, the indexes with strong variation were the annual average duration index of low flow and the annual minimum 1-day flow index, with the period of variation from 1973 to 1977, and from 1973 to 1986, respectively. Combined with the climate change and human activities in the past 60 years, it is found that the time period of climate change and water conservancy project construction is consistent with the time period diagnosed in this paper. Therefore, the variation period from 1973 to 1986 is reasonable. Through this study, it can be concluded that the method has strong practicability in the diagnosis of hydrological variation, and the conclusion is consistent with the practice, which can fully reflect the characteristics of hydrological changes in the Hanjiang River Basin.

How to cite: Cai, S. and Li, Z.: Study on the variation and diagnostic methods of eco-hydrological regime in Hanjiang River Basin, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3413, https://doi.org/10.5194/egusphere-egu22-3413, 2022.

With the promotion and development of the South-to-North Water Diversion Project, a flood forecasting of the Chao River Basin in Miyun is crucial. Many hydrological researchers have done little research in the northern China, especially Chao River Basin. Because of the climate and environmental factors in the Chao River Basin, the watershed often has more rainfall but no runoff flow, which exacerbates the difficulty of northern flood forecasting. With the rapid development of technology in surface observation and remote sensing technologies, data sources have been enriched. Today, how to improve algorithmic techniques and how to use multi-source data to reduce the uncertainty on the flood forecasting have been paid more and more attention.

The data assimilation method can improve the timeliness and the accuracy of numerical forecasting, which has been applied widely and developed rapidly in the hydrology field. In this paper, the ensemble Kalman filter algorithm was used for assimilation prediction.Considering that the watershed underlying surface caused by human activities changes frequently, the parameters are not static. In order to ensure the authenticity and accuracy of the study, the parameters were added into the variables, serving as the state variables to be estimated simultaneously, and the observed flow data were updated and corrected in real time considering the uncertainty of the model itself, the model parameters and the observed data, and the ensemble Kalman filter and the Xin'anjiang model were coupled and assimilated. As the Xin'anjiang model is based on the theory of full-scale production, it is mainly applied in the humid and semi-humid areas, while the Miyun basin is semi-humid and semi-arid climate. The Xin'anjiang model was modified to a saturated storage and excess infiltration mixed model, and data assimilation used multi-sources of soil data and streamflow, which can improve the accuracy of flood forecasting.

The Chao River Basin consists of three hydrological stations, which are Dage Station, Gubeikou Station and Xiahui Station from the upstream to the downstream. According to return period or frequency, the flood grades were divided into small floods, medium floods and large floods, which were compared with non-assimilation, streamflow assimilation-only, combined assimilation of streamflow and romote sensing soil data, combined assimilation of streamflow and correct soil data. Results showed that the accuracy of multi-source data assimilation of small floods after adding streamflow and soil data was increased, while the precision of medium floods and large floods was high enough when the floods were streamflow assimilation-only. And from the perspective of assimilation results, small floods were better than medium floods and large floods, and the effect of upstream assimilation was better than downstream. In order to study the influencing factors of the assimilation effect, the Gubeikou Hydrological Station was taken as an example to analyze the effects of parameter mean, variance, the number of samples and the correlation between parameters and variables on the assimilation processes. This study can provide reference for different levels of flood assimilation prediction methods and related assimilation processes.

How to cite: Zhang, C.: Application of Ensemble Kalman Filtering to the Flood Prediction of Chao River Basin in North China, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4291, https://doi.org/10.5194/egusphere-egu22-4291, 2022.

EGU22-4321 | Presentations | SSS11.2

Intra-annual sediment dynamic assessment in the Wei River Basin, China, using the AIC functional-structural connectivity index 

Zhenni Wu, Jantiene Baartman, João Nunes, and Manuel López-Vicente

Hydrological and sediment dynamics have changed a lot on the Chinese Loess Plateau during the last six decades due to large scale land use changes and numerous water regulation actions. Understanding the mechanism of sediment transport change and its effects is of great importance to food and environmental security. Computer-implemented numerical approaches are useful to map and assess spatio-temporal patterns in sediment dynamics. This study evaluates monthly and annual sediment connectivity in the Wei River Basin (134,800 km2) at the basin and sub-basin scales using the aggregated index of sediment connectivity (AIC). For the first time, this index is applied on this relatively large regional scale. The two objectives are to (1) evaluate the performance of the AIC at the regional scale and (2) analyse the role played by each input in the sediment patterns over the months of the year. The Jing sub-basin shows the highest sediment connectivity, while the Beiluo sub-basin has the lowest sediment connectivity on average, due to better ecological restoration in Beiluo sub-basin. Within the year, sediment connectivity is highest in April and lowest in January, due to the rainfall regime and land cover variations. Among the inputs of the AIC, the rainfall factor has the highest effect on sediment connectivity, implying that functional connectivity (graded by rainfall and soil cover) dominates over sediment dynamic more effectively than structural connectivity (mainly determined by topography and soil permeability). This study provides one of the first large-scale estimates of spatial and temporal sediment connectivity, which can be further employed to implement regional ecological construction and catchment management.

How to cite: Wu, Z., Baartman, J., Nunes, J., and López-Vicente, M.: Intra-annual sediment dynamic assessment in the Wei River Basin, China, using the AIC functional-structural connectivity index, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4321, https://doi.org/10.5194/egusphere-egu22-4321, 2022.

Rational land use can enhance soil nutrient sequestration and control erosion, but the mechanisms of the ecological restoration on soil aggregate-associated carbon and nitrogen are still not well understood. A large-scale ecological restoration program was launched in the Loess Plateau during 1990s. The ecological restoration programs involved converting slope farmland to forest, grassland, shrub land and terrace. We studied their effects in relation to slope land as control on soil aggregate structure and stability, and their associated organic carbon and total nitrogen contents to 60 cm soil depth in the Loess Plateau. Our results indicate that the restoration practices reduced soil aggregate fragmentation, increased soil structure stability and transformed micro-aggregates into small and large aggregates. Comparing with the soil aggregate >0.25mm in slope land, the amount of that in forest, grass land, shrub land and terrace increased by 71%, 66%, 46%, and 35%, respectively, which improved soil health overall. The mean weight diameter (MWD) of aggregate indicated that soil aggregate stability (SAS) increased and soil hydraulic erosion resistance improved. In conclusion, ecological restoration directly or indirectly affected SAS through the influence of soil organic carbon (SOC) and total nitrogen (TN) in different soil layers. The results would provide a scientific basis for soil quality control and rational use of land resources.

How to cite: wu, H.: Changes in soil aggregate fractions, stability and associated organic carbon and nitrogen in different land use types in the Loess Plateau, China, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4456, https://doi.org/10.5194/egusphere-egu22-4456, 2022.

As a major carbon emitter, China’s decarbonisation will contribute to global climate action. The verification of topsoil C distribution in China and its influence factors was an urgent problem for the carbon neutrality of China. . To address this issue, topsoil (0-20 cm) and climate data for 7,857 sites were selected. The soil organic carbon (SOC) distribution in forestland, grassland, and farmland in seven districts of China was analyzed. The correlations and contribution rates of external (elevation-E, temperature-T, and rainfall-R) and internal factors (fractal dimension-D, soil total nitrogen-STN, soil total phosphorus-STP, pH, and C/N ratio) were explored. We found that SOC in China gradually increased from the west to east, with a mean value of 11.20 g kg-1. The SOC content in northeast China was higher than elsewhere in the country. The SOC of different land use types followed the order of forestland > farmland > grassland (P <0.05). All of the factors influencing SOC, with the exception of R, had distinct differences in their spatial patterns and land use types. The most important internal factor was STN, followed by STP, while the most important external factor was T, followed by R. The factor that made the greatest contribution to the SOC was STN. There was a relationship between the SOC distribution and the Hu Huanyong Line, the 6.5-10.5℃ T contour line in the south of China. These results provide theoretical support for soil C cycle and prediction research, which will enable the issues surrounding climate change in China to be confronted.

Key words: soil organic carbon, distribution pattern, internal factors, external factors, China

How to cite: Zhang, Y.: Topsoil organic carbon in China is mainly affected by internal nitrogen and external temperature, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4542, https://doi.org/10.5194/egusphere-egu22-4542, 2022.

Land use change is a major influencing factor in ecological and environmental issues, and sedimentation and runoff variations caused by land use change have emerged as important research areas. The aims of this study were to determine changes in landscape patterns, and runoff and sedimentation characteristics, and to investigate the relationship between landscape metrics (LMs), runoff, and sedimentation in two watersheds. Four key results were obtained. (1) Grassland (GRA) was the dominant landscape in the two watersheds. Unused land (UNL) in the Tuweihe watershed and farmland (FAR) in the Gushanchuan watershed experienced the greatest transformations, with changes in area of 453.94 and 52.85 km2, respectively, between 1985 and 2010. (2) The landscape in the watersheds tended to become regular, connected, and aggregated. The landscape stability of the Tuweihe watershed was higher than that of the Gushanchuan watershed. (3) Annual runoff and sediment levels gradually decreased. The runoff in the Tuweihe watershed was greater than in the Gushanchuan watershed, but the sediment yields of the two watersheds were similar. There was a significant relationship between annual runoff and sedimentation (P <0.01). (4) The LMs had a significant linear relationship with runoff and sedimentation (P <0.01). The correlation coefficients for LMs and runoff were higher than those for LMs and annual sedimentation yield. Shannon’s evenness index (SHEI) and the patch cohesion index (COHESION) had the greatest effects on runoff and sedimentation. Our results suggested that the relationship between the LMs, and runoff and sedimentation could provide a scientific basis for the prevention and treatment of water loss and soil erosion.
Keywords: land use/cover change; landscape; runoff; sedimentation; Yellow River

How to cite: Liu, X.: Landscape analysis of runoff and sedimentation based on land use/cover change in two typical watersheds on the Loess Plateau, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4638, https://doi.org/10.5194/egusphere-egu22-4638, 2022.

[Objective] to clarify the spatial distribution pattern of land use and the change of eco-environmental quality effect caused by its transformation in Ningxia. [Method] Based on the four high-precision remote sensing interpretation images of land use status from 1990 to 2018, the regional land use classification system of Ningxia was constructed according to the leading function of "Sansheng" land, and the geographic information Atlas method, eco-environmental quality index, center of gravity transfer model and the ecological contribution rate of land use transformation were adopted. [Results] from 1990 to 2018, the production land increased by 14.3%, the living land increased by 29.1%, and the grassland ecological land decreased by 138.1km2 per year; The overall eco-environmental quality index of Ningxia has deteriorated, from 0.455 in 1990 to 0.438 in 2018. The area of medium quality area accounts for about 65% of the whole region, forming the main body of eco-environmental quality; According to the center of gravity model, the eco-environmental quality in northern Ningxia has been improved; From 1990 to 2018, the improvement and deterioration of regional ecological environment in Ningxia coexisted, and the trend of ecological environment deterioration was greater than that of improvement. [Conclusion] the quality of ecological environment in Ningxia has decreased, and the run of agricultural production land on forage ecological land is the main reason.

How to cite: Xu, Y.: Functional transformation of Ecological-production-living land use and Eco-environmental effects in Ningxia, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4745, https://doi.org/10.5194/egusphere-egu22-4745, 2022.

 In order to scientifically understand the effect of the construction of check dams on the erosion dynamic process and the ability to reduce gully erosion in the wind-water cross erosion area, in this study, the Xiliugou Basin, one of the ten tributaries, was taken as the research area, and the differences of flood process, erosion dynamics and energy in gully after the construction of check dams were simulated and quantitatively calculated by coupling the distributed hydrological model MIKE SHE and the one-dimensional hydrodynamic model MIKE 11. The reduction of gully erosion by check dams was also estimated. The results showed that: (1) The check dams decreased the flood peak and flood volume of the outlet section by 40.90% and 35.85%, respectively. (2) The average flow velocity, runoff shear force and runoff power along the main gully of the watershed were dropped by 21.66%, 22.02% and 34.31%, respectively. (3) During the planned operation period of the project, the check dams reduced the amount of gully erosion by 3.31 million tons under the condition of multi-year average precipitation. The construction of check dams has significantly changed the flooding process of Xiliugou Basin, which alleviated the erosion dynamic along the main channel as well as provided effective erosion mitigation effects.

How to cite: Feng, Y.: SIMULATION  on the Gully Erosion Reduction Ability of Check Dam—A Case Study of Xiliugou Basin, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5243, https://doi.org/10.5194/egusphere-egu22-5243, 2022.

In the dry zone of Sri Lanka, human-made reservoirs, being connected by canals and spillways serve since 2000 years for the collection, storage and distribution of rainfall and runoff and provide irrigation water for the cultivation of paddy (Bebermeier et al. 2017). These systems, known as tank-cascade system, focus on numerous state of the art watershed management strategies like flood prevention, soil erosion control, water quality control and are based on an elaborated governance system (Schütt et al. 2013).

In this presentation we will analyse the dependence these reservoirs (locally called tanks or wewas) in the headwaters of the Aruvi Aru catchment on precipitation as a means of evaluating their efficiency. The the Aruvi Aru is located in the dry zone of Sri Lanka, and numerous human made reservoirs characterize its catchment. Methodologically the study is based on a correlation of climatically and hydrologically drought indices, by applying the Standardized Precipitation Index (SPI) after McKee et al. (1993) to precipitation data at different time scales and to water-level data of five major tanks in the catchment. Achieved results show that near normal present-day average precipitation is appropriate to fill the investigated tanks. As main driving factor of water level changes, the precipitation of the last 6–12 months was identified. Two other factors were responsible for water level changes of the tanks: these are: (i) catchment size together with the buffering capacity of the upstream catchment and (ii) management practices. As the overall conclusion of our study shows, the tanks functioned efficiently within their system boundaries (Saase et al. 2020). In consequence this water harvesting and management system, being well adopted to local conditions, has a high capacity to mitigate effects of climate change in the dry zone of Sri Lanka.

References:

Bebermeier, W., Meister, J., Withanachchi, C.R., Middelhaufe, I. and Schütt, B., 2017. Tank Cascade Systems as a Sustainable Measure of Watershed Management in South Asia. Water, 9(3). https://doi.org/10.3390/w9030231

McKee, T.B.; Doesken, N.J.; Kleist, J., 1993. The relationship of drought frequency and duration to time scales. In Proceedings of the Eighth Conference on Applied Climatology, Anaheim, CA, USA, 17–22 January 1993; American Meteorological Society: Anaheim, CA, USA; pp. 179–184.

Saase, R. Schütt, B. and Bebermeier, W. 2020. Analyzing the Dependence of Major Tanks in the Headwaters of the Aruvi Aru Catchment on Precipitation. Applying Drought Indices to Meteorological and Hydrological Data. Water, 12(10), 2941; https://doi.org/10.3390/w12102941

Schütt, B., Bebermeier, W., Meister, J. and Withanachchi, C.R., 2013. Characterisation of the Rota Wewa tank cascade system in the vicinity of Anuradhapura, Sri Lanka. Erde, 144(1): 51- 68.

How to cite: Bebermeier, W., Saase, R., and Schütt, B.: Analyzing the Dependence of Major Tanks in the Headwaters of the Aruvi Aru Catchment on Precipitation. Applying Drought Indices to Meteorological and Hydrological Data as a means to evaluate their efficiency, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5412, https://doi.org/10.5194/egusphere-egu22-5412, 2022.

Quantitative analysis of sediment sources is crucial for soil and water conservation. For instance, composite fingerprint identification technology is widely used to study sediment sources in small dam-controlled watersheds, but its use in historical reconstructions of soil erosion in sediment source areas is uncommon. As soil erosion is a major issue in some areas of China, we propose the combination of flood couplet construction with the fingerprint method to estimate soil erosion in sediment source areas of a typical check dam on the Loess Plateau, which is known for its severe soil erosion. A flood couplet, based on the activity of 137Cs in the sediment, was constructed, and the historic soil erosion was calculated using soil bulk density and storage capacity curves. The contribution rate of the sediment sources was calculated by using the fingerprint method, and the amount of erosion in the sediment source areas was estimated. We found 29 flood events (1956–1990); the total sediment volume was approximately 56121 m3, and the sediment yield was approximately 77430 t. The best fingerprint combination (Cr, Ni, V, and TOC) allowed to a 97.2% the recognition of the sediment sources. The contribution rates of ditches, cultivated land, grassland, and shrub land were 44.89%, 26.38%, 10.49%, and 18.24%, respectively. Meanwhile, the average sediment yield of ditches, farmland, grassland, and shrub land were 1227, 751, 512, and 279 t, respectively. These results provide an effective scientific basis for the rational allocation of soil and water conservation measures in small watersheds.

How to cite: Bai, L. and Shi, P.: Soil erosion of sediment sources and their impact factors in a check dam control watershed on the Loess Plateau of China, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6799, https://doi.org/10.5194/egusphere-egu22-6799, 2022.

In order to scientifically understand the spatial distribution characteristics of hydrological hydrodynamics in river basins under different conditions (land use, rainfall), the flood process of Wan'an Small Watershed was simulated by coupling the distributed hydrological model MIKE SHE and the one-dimensional hydrodynamic model MIKE11, revealing the variation characteristics of hydrodynamic parameters at different scales of main ditch and branch ditch in the basin. The results show that: (1) Different rainfall types and underlying surface conditions changed the distribution of erosion dynamics in small watershed channels, and the erosion dynamic parameters of ditches with smaller cumulative rainfall and rain intensity decreased greater. (2) The erosion power of runoff in small watersheds is characterized by the change trend of large upstream, small downstream, large tributaries and small main ditches, and the changes in the upper and middle reaches are more drastic than those in the downstream. (3) The impact of land use change on heavy rainfall over short duration is small, and the variation of erosion dynamic parameters of main ditch is significantly greater than that of branch ditch. The research results can provide a scientific reference for the planning of soil and water conservation in the Yangtze River Basin.

Keywords: MIKE model; Model simulation; hydrological hydrodynamics; rainfall types; 

How to cite: Huang, J. H.: SPATIAL and temporal distribution characteristics of erosion dynamics in watersheds under the influence of different rainfall types and underlying surface, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7179, https://doi.org/10.5194/egusphere-egu22-7179, 2022.

Abstract: The contrastive analysis of soil bulk density, moisture content, organic matter spatial heterogeneity karst hillslopes can serves as theoretical guidance for preventing soil degradation in Nandong subterranean stream basin. This study analysis the 0-20cm, 20-40cm soil bulk density, moisture and organic matter spatial heterogeneity Zhumashao depression basing on classical statistics and geostatistics methods. Research results showed that: the soil organic matter aberrance in Zhumashao depression is the largest, up to 70.62%, the variation of bulk density and water, respectively 15.25% and 11.29%. According to the statistical analysis of different types of land use, the soil moisture content can be ordered as follows, cultivated land <grassland<shrubs, and the bulk density can be ordered as shrubs <grassland<cultivated land, and organic matter content can be ordered as cultivated land<grassland<shrubs. The bulk density of the northern slope is higher than the southern slope, and the coefficient of variation is lower than the southern slope. The soil moisture and organic matter are lower than the southern slope, and the coefficient of variation is higher than the southern slope. It also showed a significant negative correlation between soil bulk density and soil moisture, as well as a significant negative correlation between soil bulk density and organic matter, and the correlation coefficients were -0.609 and -0.581, respectively. In 0-20 cm, the soil moisture, bulk density, organic matter and the spherical model are fitter and fitting degree of R2 were 0.911, 0.977, and 0.922, respectively. In 20-40 cm, the soil moisture, bulk density, organic matter and Gauss model match better and fitting degree of R2 were 0.647, 0.730, and 0.881, respectively. The nugget coefficient shows that the spatial correlation of 0-20 cm factors, 20-40 cm is weak, which may be related to human activities in space. Through the analysis of normal kriging interpolation, soil bulk density in the south slope of the depression is less than those in the north slope, as well as the water and organic matter is more than those in the north slope. The soil moisture and organic matter at the bottom of the depression have the minimum value, while the bulk density has the maximum value. The water content and organic matter at the bottom and middle slope are the lowest, and the bulk density is the highest; the moisture and organic matter are higher on the downhill and uphill, and the bulk density is lower.

Key words: spatial heterogeneity; karst slope; land use, soil moisture, bulk density, organic matter

 

How to cite: Liu, P. and Li, Y.: Spatial heterogeneity of soil bulk density and moisture content,organic of karst depression slope, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8631, https://doi.org/10.5194/egusphere-egu22-8631, 2022.

EGU22-9360 | Presentations | SSS11.2

Research progresses and trends of hydrological connectivity based on bibliometrics 

Yang Yu, Min Shu, Yiying Hui, Daoming Ma, Danyi Huang, and Ming Gong

Water is the main factor restricting and maintaining biological activities, and hydrological connectivity is closely related to many ecological processes. As a process that characterizes the transfer of energy and organisms among landscapes during the water cycle, hydrological connectivity establishes the interconnection between the material and energy flow of the landscape during the water cycle. Using bibliometric methods, hydrological connectivity related researches were searched via Web of Science and CNKI database, combining with Bibexcel, Ucient and Citespace procedures to obtain high-frequency words and keyword co-occurrence network views, we reviewed the research progress of hydrological connectivity abroad. The results showed that: 1) Regarding hydrological connectivity, the volume of publications both at home and abroad has shown an upward trend. The number of the publications showed significantly increased. 2) In terms of the frequency of keywords, many studies tend to focus on the research on hydrological connectivity of different types of ecosystem structure and function changes. 3) The analysis of the frequency of outbreak words showed that hydrological connectivity and climate change, biodiversity and ecosystem services have become research hotspots in this field. 4) According to the co-occurrence network view, we found that hydrological connectivity and ecological processes, the impact of different types of ecosystem hydrological connectivity on material transport, and the impact of changes in ecosystem structure and function on hydrological connectivity are the current research hotspots. Carrying out multi-scale hydrological connectivity mapping and multi-scale hydrological connectivity quantitative assessment and model simulation based on geographic information technology and long-term field monitoring data are the trends of future hydrological connectivity research directions.

How to cite: Yu, Y., Shu, M., Hui, Y., Ma, D., Huang, D., and Gong, M.: Research progresses and trends of hydrological connectivity based on bibliometrics, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9360, https://doi.org/10.5194/egusphere-egu22-9360, 2022.

EGU22-10684 | Presentations | SSS11.2

Evaluation of the Effectiveness of Soil Conservation Practices in Agricultural Watersheds in Tennessee, USA 

Racha Elkadiri, Henrique Momm, John Simpson, and Katy Moore

Conservation agriculture has proved to be beneficial in terms of securing yield, sustainability of natural resources, and biodiversity of the natural and cultivated ecosystems. The effectiveness of existing and planned conservation practices in targeted watersheds in Tennessee, USA, were evaluated. Two watershed systems were selected in coordination with the U.S. Department of Agriculture - National Resources Conservation Service (NRCS) including four watersheds in Northern Middle Tennessee and six watersheds in West Tennessee.

Our objective was accomplished using the Annualized Agricultural Non-Point Source (AnnAGNPS) watershed pollution model to generate watershed simulations for our study areas. The main inputs databases needed include: (1) a 3-m LiDAR based Digital Elevation Model (DEM), (2) weather data from 23 NOAA stations and from AGNPS Climate Generator (agGEM), (3) soil data from the Web Soil Survey (WSS) and complementary soil description of physical and chemical properties from the USDA Soil Data Access website, (4) land use and land cover data describing crop type from 2009 to 2019 from the National Agricultural Statistics Service’s Cropland Data Layer (CDL), and (5) typical farming management practices that were generated by integrating spatiotemporal crop type information at raster grid cell scale (from CDL), average crop yield at county scale (from USDA-NASS), and one-year farming management schedule (from USDA-NRCS). In addition to the AnnAGNPS simulation representing existing conditions, 34 additional AnnAGNPS simulations representing alternative scenarios of conservation practices were evaluated. Eight scenarios depicting the effectiveness of sediment retention ponds under various stream order, stream length, and sediment yield conditions; 4 scenarios were run to depict the effectiveness of crop rotation under various sediment yield-based conditions; 4 scenarios were run to depict the effectiveness of the conservation reserve program (CRP) under various sediment yield-based conditions; and 18 scenarios were run to depict the effectiveness of riparian forest buffer under various buffer width, and sediment yield- based conditions.

Preliminary results indicate that the vegetative riparian buffer is a very effective practice that could eliminate up to 80% of the total watershed sediment yield if implemented in every stream of the watershed. Alternatively, creating and maintaining a riparian buffer in just agricultural fields could decrease the sediment yield by 42% to 50% depending on width and by 5 to 6% when implemented in the top sediment producing fields. The projected reduction from sediment retention ponds of sediment yield is 95% in the case of 233 ponds strategically placed across the Western TN watershed system. Crop rotation simulations show that this conservation practice could decrease sediment yield by up to 12% in the extreme scenario of applying it in every soybean agricultural field in the study area, making it less effective than the other simulated conservation practices. CRP decreases the sediment yield by more than 81% percent in the most optimistic scenario and by 10% in the least optimistic scenario.

Findings from this study support efforts in guiding future conservation strategies development contributing to water quality and sediment erosion improvement in the state of Tennessee and across the US.

How to cite: Elkadiri, R., Momm, H., Simpson, J., and Moore, K.: Evaluation of the Effectiveness of Soil Conservation Practices in Agricultural Watersheds in Tennessee, USA, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10684, https://doi.org/10.5194/egusphere-egu22-10684, 2022.

EGU22-10804 | Presentations | SSS11.2

Measuring Sediment Transport Capacity of Concentrated Water Flow with a New Erosion Feeding Method 

Liqin Qu, Tingwu Lei, Chenyan Zhou, and Zhiqiang Liu

Sediment transport capacity is not only an important parameter for rill erosion modeling but also a critical parameter for estimating other rill erosion model parameters. Sediment capacity is difficult to be measured, especially at gentle slopes with limited rill length. In this study, a special flume with variable slope gradients in different sections was implemented to feed and to transport sediments. Silt loam soil materials, collected from Beijing, were used in the laboratory experiments to measure sediment transport capacity to verify the method,. The experiments were designed under slope gradients of 5, 10, 15, 20 and 25° and flow rate of 2, 4, 8 and 16 L/min. Measured sediment transport capacity values were compared with reference measurements from other rill erosion experiments with similar soil materials. At high slope gradients of 15, 20 and 25°, the newly-suggested method produced almost the same transport capacity values as measured through rill erosion process data. Under the low slope gradients of 5 and 10°, limited length of eroding rill used in the previous experiments was not capable of producing sufficient sediments to make the flow reach sediment transport capacity. Data analysis indicates that rill erosion with a 8 m long flume produced maximum sediment concentrations about 36% lower than the values measured with the new method under low slope gradients of 5 and 10°. The sediment transport capacities at lower slopes measured with the new method followed the same trend as those at higher slopes. The experimental results indicated that the new method is capable of supplying sufficient sediments to ensure the flow approach transport capacity measurement. The method proposed in this study can provide a feasible approach for estimating sediment transport capacity as an  important model parameter for soil erosion prediction.

How to cite: Qu, L., Lei, T., Zhou, C., and Liu, Z.: Measuring Sediment Transport Capacity of Concentrated Water Flow with a New Erosion Feeding Method, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10804, https://doi.org/10.5194/egusphere-egu22-10804, 2022.

Abstract:In order to grasp the temporal and spatial variation of runoff and sediment transport and the relationship between runoff and sediment in the Yellow River, the Mann-Kendall test was used to analyze the trend of runoff and sediment load based on the data of runoff and sediment load from 1950 to 2020 at Tongguan station. This paper adopted a method based on moving correlation coefficient to diagnose the variation of watershed runoff and sediment, which was verified with cumulative curve method and regression analysis method. The Pearson III distribution was selected to fit the runoff and sediment distribution before and after the variation, and the combined runoff and sediment distribution was established based on Copula function. The variation characteristics of runoff and sediment at Tongguan station were compared and analyzed to study the wetness-dryness encountering of runoff and sediment at different times. Results show that: (1) The annual runoff at Tongguan station underwent a stepwise decrease until about 1990, and the amount of sediment load continued to decrease after 1983. (2) Taking 1985 as the segmentation point, the mean value of runoff and sediment decreased from 1986 to 2020 compared with that from 1956 to 1985. When the design frequency P≤90%, the runoff and sediment load decreased, while when P>90%, the runoff decreased and sediment load increased. (3) In both time periods, the synchronous frequency of runoff and sediment load wetness-dryness was greater than the asynchronous frequency of wetness-dryness, and the probability of wetness-dryness combination was the smallest, and the frequency of each combination was more uniform after the variation period. The implementation of soil and water conservation measures and the control of water and sediment by large-scale water conservancy projects were the main reasons that led to the change of the wetness-dryness of water and sediment. This work was supported by the National Key Research and Development Program [grant number 2016YFC0500802].

Keywords: runoff; sediment load; Copula function; the Yellow River Basin

How to cite: Liu, H. and Yang*, Q.: Variation characteristics of runoff and sediment in the middle reaches of the Yellow River based on Copula function, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11687, https://doi.org/10.5194/egusphere-egu22-11687, 2022.

EGU22-11767 | Presentations | SSS11.2

Assessment of the soil-water dynamics in an intensively used agricultural lowland area of Lombary, Italy 

Alice Bernini, Rike Becker, and Michael Maerker

The use of hydrological models can be a suitable basis for the development of sustainable land use and respective water management policies, according to the sustainable development goals (SDGs) of EU. In this study, a process-based numerical model was developed, to determine the hydrological dynamics of a micro-scale basin in a flat and intensely used agricultural area that is partly irrigated, in the Lombardy Region, Italy. In this area, agriculture has a fundamental role in the local hydrological cycle, indeed, landuse and land management practices date back to medieval times with the construction of irrigation channels and reuse of water along the fluvial terrace cascade of the Ticino River. From a hydrological point of view the study area is very complex: there is almost no natural surface runoff, but prevailing vertical soil water dynamics. The water infiltrates on the highest and oldest fluvial terrace level and reemerges in form of springs (risorgive) at the base of the terrace escarpments and is further used for irrigation on the next terrace level.

The objective of this study is to assess the hydrological dynamics of this complex area that is getting under increasing pressure related to climate changes and socioeconomic transformations.  In order to achieve the study goals, we applied the Soil Water Assessment Tool (SWAT), a complex hydrological model that works at the basin scale and generates variable spatio-temporal outputs and is being applied successfully worldwide for soil and water management studies. We present the methodological approach for deriving the model input and boundary conditions. Moreover, we show the effects of selecting different model entity configurations as well as calibration and validation procedures. First preliminary results show that SWAT is able to simulate the general hydrological dynamics of the area according to the use of satellite soil moisture and evapotranspiration data. In addition, through local soil moisture measurements carried out in the field, qualitative evaluation of infiltration capacities have been made and with these measurements it will be possible to validate the model. Hence, the model results obtained, provide information on the soil water dynamics that can be used as a basis for studying future scenarios (i.e., impacts of climate change or different management such as different irrigation schemes).

How to cite: Bernini, A., Becker, R., and Maerker, M.: Assessment of the soil-water dynamics in an intensively used agricultural lowland area of Lombary, Italy, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11767, https://doi.org/10.5194/egusphere-egu22-11767, 2022.

Abstract: Making clear the sediment reduction benefits of soil and water conservation measures is the primary in the researches of ecological benefits of soil and water conservation. In order to make the sediment reduction benefits of China clear, relevant monitoring and research results were collected which focus on determining the amount of sediment reduction per unit area for single measure by provincial administrative units. Taking the average of all the results of sediment reduction benefits when single measure exists more than one result. Then, the basic characteristics and factors in the existed measures in eight soil and water loss zones dominated by water erosion in China have been discussed. The results indicated that the sediment reduction modulus of soil and water conservation measures in the order: 4146.17 t·km-2·a-1 in terraces < 3064.73 t·km-2·a-1 in soil and water conservation forests < 2819.16 t·km-2·a-1 in fruit-bearing forests < 2273.77 t·km-2·a-1 in artificial grass planting < 1973.31 t·km-2·a-1 in blockading administration; the sediment reduction modulus of eight soil and water loss zones in the order: 2400.87 t·km-2·a-1 in the Southwest Karst Region < 2493.93 t·km-2·a-1 in the Northern Earth and Rock Mountain Region < 2741.69 t·km-2·a-1 in the Southern Red Soil Region < 2831.48 t·km-2·a-1 in the Northern Wind-blown Sandland Region < 3061.22 t·km-2·a-1 in the Southwest Purple Soil Region < 3088.04 t·km-2·a-1 in the Northeast Black Soil Region < 3187.89 t·km-2·a-1 in the Loess Plateau Region < 3259.82 t·km-2·a-1 in the Qinghai-Tibet Plateau Region. Therefore, terrace was completely worthy of promotion in suitable regions. This review reflected the effect of the soil and water conservation in China in recent years, and provided substantial contribution on the control of regional water and soil loss. This work was supported by the National Key Research and Development Program [grant number 2016YFC0500802].

Key words: sediment reduction benefits; soil and water conservation measures; soil and water loss zones; China

How to cite: Xu, J. and Yang, Q.: A Review of Sediment Reduction Benefits of Soil and Water Conservation Measures in China, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11889, https://doi.org/10.5194/egusphere-egu22-11889, 2022.

EGU22-11976 | Presentations | SSS11.2

Impact of global changes on soil erosion in an Italian basin of mixed pastures (Sicily) 

Laurène Marien, Rossano Ciampalini, Feliciana Licciardello, Emanuela Rita Giuffrida, Amandine Valérie Pastor, Frederic Huard, and Damien Raclot

Soil is an essential natural resource, non-renewable on a human time scale, which is degraded mainly by water erosion, especially in the Mediterranean context. Erosion can cause significant soil losses at the plot and catchment level through the transfer of sediments which, in a framework of global changes (climate and land use), may severely increase in intensity.

This study was part of the MASCC/Arimnet2 project, which aimed to assess the vulnerability of Mediterranean agricultural soils to global changes and contribute to the definition of sustainable agricultural conservation strategies for Mediterranean agro-ecosystems. In the challenge of reconciling agricultural production, environmental protection and the effects of climate change, we believe that some trade-offs are possible.

We assessed the impact of global change scenarios on soil loss in a mixed pasture watershed in the Cannata basin (Sicily) by 2050, testing strategies to maintain agricultural production and protect soil resources. With the LANDSOIL model, we simulated soil erosion on different climatic (RCP4.5) and land use scenarios derived from a combination of plausible socio-economic conditions. The land use scenarios have been designed according two principal axes: agricultural production and soil conservation. All scenarios tend towards an increase in crops (wheat and orchard) over different degrees represented by the productivity axis. We also adopted a main differentiation between intensive and extensive practices for pasture, and between conventional and conservative practices for wheat and orchard. 

The simulation results show that climate change can lead to a decrease in erosion. The evolution of erosion is also strongly influenced by land use. Environmental protection and sustainability scenarios limit soil erosion compared to the most productive scenarios which, on the contrary, may result in an increase. Reducing intensive grazing in favor of conservation wheat and arboriculture, increases the cultivated area and can decrease soil erosion by 2050 horizon. The use of a suitable land use scenarios can contribute to environmental protection, sustainability, and provide levers to meet food production requirements.

 

Key words

Global change, climate, erosion, land use, modelling, agricultural practices, pasture.

How to cite: Marien, L., Ciampalini, R., Licciardello, F., Giuffrida, E. R., Pastor, A. V., Huard, F., and Raclot, D.: Impact of global changes on soil erosion in an Italian basin of mixed pastures (Sicily), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11976, https://doi.org/10.5194/egusphere-egu22-11976, 2022.

EGU22-12473 | Presentations | SSS11.2

How megacities respond to urban pluvial floods in China: Policy recommendations 

Mingyang Liu, Xiangzhou Xu, and Guang Ran

The megacities in China experienced increasing impacts from the urban floods due to the climate change in the past ten years. However, it is still unknown how to deal with the potential hazards under the impact of extreme precipitation. This paper briefly reviews the general characteristics and challenges of urban flooding in China with a case study of the extreme rainstorm in Zhengzhou on 20 July 2021. Results indicate that, to comprehensively protect a megacity with existing building standards and emergency plans is difficult under the extreme rainstorms, and the disruption of weak lifeline facilities, e.g. the road network, may further disrupt the provisions from neighbouring cities. This study offers a unique perspective reflecting a multi-scale approach from a single local city to regional area, an urban cluster or even a country on the urban floods control, urban infrastructure design and policy development. In more details, the measures are anticipated to increase the control rate of annual rainfall via the development of sponge city, improve monitoring and forecasting in the urban area, and enhance the risk-response strategies from the local government. The study strongly suggests expand the experiences and achievements of the flood management from a disaster area to adjacent or distant cities coupled with different pathways including government cooperation, water conservation practices, information exchange or human migration. The policymakers in a megacity are also encouraged to update the viewpoints for the policies and strategies to control floods. Hopefully a clue for relatively effective water management and land use for the sustainable urban development may be obtained from the study.

How to cite: Liu, M., Xu, X., and Ran, G.: How megacities respond to urban pluvial floods in China: Policy recommendations, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12473, https://doi.org/10.5194/egusphere-egu22-12473, 2022.

EGU22-12695 | Presentations | SSS11.2

Effects of transported plant on soil physical properties 

Jin Tian and Xiangzhou Xu

Vegetation has long been recognized as an efficient way of preventing soil erosion. However, the effects of plants on gravity erosion are still broadly unknown. This study conducted a plant-root modelling experiment with the Pinus tabuliformis and Amorpha fruticosa under heavy rainfall on a micro-plot with a slope of 4° in the Wangdong Village, Shaanxi Province. The results showed that: (1) As the depth of the soil increases, the soil becomes more compacted and the influence of tree and shrub roots on soil consolidation ability increases. In the shallow soil with the depth of 20 cm , the maximum soil shear strength was 17 kpa and the maximum soil hardness was 21 N/cm2 next to Pinus tabuliformis, while in the deep soil with the depth of 40 cm, the maximum soil shear strength was 22 kpa and the maximum soil hardness was 44 N/cm2. In the shallow soil, the maximum soil shear strength was 16 kpa and the maximum soil hardness was 20 N/cm2 next to Amorpha fruticosa, while in the deep soil the maximum soil shear strength was 19 kpa and the maximum soil hardness was 48 N/cm2. (2) The differences of the root types make the plants differ in their soil consolidation abilities, for the tree root have a stronger consolidation ability than shrub roots. In the shallow soils, the soil water content next to Pinus tabuliformis was slightly lower than that of Amorpha fruticosa, while in deeper soils they were close to each other, so the soil cohesion next to Pinus tabuliformis was slightly higher than that of soil next to Amorpha fruticose. The maximum soil cohesion next to Pinus tabuliformis was 22 kpa and that of soil next to Amorpha fruticosa was 19 kpa. The maximum soil hardness next to Pinus tabuliformis was 44 N/cm2 and that of soil next to Amorpha fruticosa was 48 N/cm2.

How to cite: Tian, J. and Xu, X.: Effects of transported plant on soil physical properties, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12695, https://doi.org/10.5194/egusphere-egu22-12695, 2022.

EGU22-1148 | Presentations | SSS11.4

Experimental Study on the Efficiency of a Hydrosuction System for Desilting Sediment from a Farm Pond 

Tung-Yang Lai, Yu-Chao Hsu, Ji-Shang Wang, Yu-Wen Su, Guei-Lin Fu, and Cheng-Yi Hung

Sedimentation has been a crucial problem in the management of storage in farm ponds, which cuts down the capability of ponds in aspects of irrigation, flood detention, and water retention. The Hydrosuction sediment removal system features low energy consumption and reduction of structural modifications to the existing shaft, which is an economically feasible method to remove siltation in storage areas. However, the effect of desilting might be limited due to the position of inflow orifice of siphon-type pipe which controls the scope of desilting affected area. This study aims to enhance the desilting effect of a fixed siphon system through connected a designed drainage tube.

The experiments were conducted in a cubic tank with a volume of 1.0 m3. Inside the tank, a vertical square shaft with the height of 80cm connected to an outlet channel was placed, and the siphon-type pipe was arranged from the inner of the tank to the outlet channel along with the shaft with a 3.0 cm inner diameter. The tests were performed in two kinds of inflow conditions in three water heights (60, 70, 80 cm), one is constant head inflow condition for continuous inflow provided, the other is falling head inflow condition with limited inflow supply. The initially deposited depths of sediment varied from 30 or 40cm. The designed 24cm long tube which has three added upward orifices with two types of diameters (1.0, 2.0 cm) could be connected to the inflow orifice of the siphon pipe to compare the desilting effect with the original arrangement in the above flow conditions.

The experimental results revealed that the effect of desilting was promoted by the connection of the designed tube to the siphon system. Besides, the efficiency of desilting was affected by the sizes of discharge orifices on the designed tube in different inflow conditions. In the constant head inflow condition, the arrangement of the connected 2cm discharge orifice tube performed better results due to the larger amount of outflow induced by the larger orifice. On the contrary, the arrangement of the connected 1cm discharge orifice tube had better desilting effect in falling head inflow condition induced by the longer time of disturbance between flow and sediment in smaller discharge. The results indicate that the capability and efficiency of sediment removal in the siphon system might be promoted by connecting an extended drainage tube with an appropriate size of upward discharge orifices.

How to cite: Lai, T.-Y., Hsu, Y.-C., Wang, J.-S., Su, Y.-W., Fu, G.-L., and Hung, C.-Y.: Experimental Study on the Efficiency of a Hydrosuction System for Desilting Sediment from a Farm Pond, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1148, https://doi.org/10.5194/egusphere-egu22-1148, 2022.

EGU22-1841 | Presentations | SSS11.4

Making the Schmidt Hammer Great Again! 

Benjamin Huxol, Gunnar Pruß, Anne Voigtländer, Michael Dietze, and Jens M Turowski

Have you ever applied the Schmidt hammer method and wondered what the R‑value represents? What SI unit it would have and which material properties it actually assesses? The Schmidt rebound hammer is a device initially intended to test the curing state and strength of concrete. Since then, the concept has been transferred to determine the strength, weathering, and sometime even surface exposure age of rocks in geomorphology. The advantage of the Schmidt hammer that it is non-destructive, easy to handle, light, and readily applicable in the field. However, the method is only based on correlation, without physical explanation of the measured value being provided, and using a seemingly arbitrary resolution of the scale without reference. Here we present our approach to put the Schmidt hammer and especially the physics behind the R‑value on solid ground. Using a dataset of material properties and R‑Values, we find that the Schmidt hammer best represents the elasticity of the material. The elasticity and, along with it, the elastic modulus, can be independently and complementarily assessed with other geophysical methods. Both metrics are known to vary with i) moisture level, ii) stress state, and iii) temperature. Consequently, we conducted controlled experiments to constrain the influence of these conditions on R‑values. A major disadvantage of the Schmidt hammer, the resolution of the scale, remains and needs further calibration.

How to cite: Huxol, B., Pruß, G., Voigtländer, A., Dietze, M., and Turowski, J. M.: Making the Schmidt Hammer Great Again!, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1841, https://doi.org/10.5194/egusphere-egu22-1841, 2022.

EGU22-2558 | Presentations | SSS11.4

Machine Learning for low-field NMR to improve pore fluid characterization 

Tina Katika and Panagiotis Michalis

The level and type of saturation of the petroleum reservoirs is an essential parameter in reserve estimation because it determines the effective volume of the hydrocarbon that is being stored. At the same time, rock wettability influences the displacement of oil by water from oil-producing reservoirs, especially during water-flooding processes. Low-field Nuclear Magnetic Resonance (NMR) spectrometry evaluates the pore size distribution and has proved a powerful tool in determining the type of saturation and assessing the solid-fluid affinity (Katika et al., 2017).

However, assessing the pore-fluid distribution of rocks with complex mineral composition at laboratory conditions, such as chalk and argillaceous sandstones, that are commonly found in the North Sea oil reservoirs, often requires further investigation. NMR data are combined with a visual inspection or with traditional techniques, such as MICP, to evaluate the microtexture of rocks (Katika et al., 2018, Faÿ-Gomord et al., 2016). Considering that laboratory low-field NMR can be used as a guide to interpreting logging data, improving the evaluation of lab measurements has a profound influence on the field.

Deep Learning (DL), as an artificial intelligence technique utilizing neural networks, has the potential to transform low-field NMR into a more efficient and powerful tool in reservoir characterization.

The various peaks in NMR T2 relaxation spectra differ in rocks with multiple types and levels of saturation, rock-fluid affinity, or pore size distribution. In the present study, we aim to improve the interpretation of the T2 spectra and automate peak picking. Using laboratory data for reservoir rocks from the literature (Katika et al., 2017), a Deep Neural Network (DNN) was trained to optimize the internal network parameters and successfully evaluate the type of peaks existing in T2 spectra. The successful evaluation is confirmed with visual inspection and correlated with geophysical data derived from the same literature.

References

Katika, K., Saidian, M., Prasad, M. and Fabricius, I.L., 2017. Low-Field NMR Spectrometry of Chalk and Argillaceous Sandstones: Rock-Fluid Affinity Assessed from T1/T2 Ratio. Petrophysics-The SPWLA Journal of Formation Evaluation and Reservoir Description, 58(02), pp.126-140. SPWLA-2017-v58n2a4

Faÿ-Gomord, O., Soete, J., Katika, K., Galaup, S., Caline, B., Descamps, F., Lasseur, E., Fabricius, I.L., Saïag, J., Swennen, R. and Vandycke, S., 2016. New insight into the microtexture of chalks from NMR analysis. Marine and Petroleum Geology, 75, pp.252-271. https://doi.org/10.1016/j.marpetgeo.2016.04.019

Katika, K., Alam, M.M., Alexeev, A., Chakravarty, K.H., Fosbøl, P.L., Revil, A., Stenby, E., Xiarchos, I., Yousefi, A. and Fabricius, I.L., 2018. Elasticity and electrical resistivity of chalk and greensand during water flooding with selective ions. Journal of Petroleum Science and Engineering, 161, pp.204-218. https://doi.org/10.1016/j.petrol.2017.11.045

How to cite: Katika, T. and Michalis, P.: Machine Learning for low-field NMR to improve pore fluid characterization, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2558, https://doi.org/10.5194/egusphere-egu22-2558, 2022.

EGU22-2582 | Presentations | SSS11.4

Soil erosion assessment via temporal and spatial high-resolution time-lapse Structure from Motion on rainfall simulation plots 

Lea Epple, Anne Bienert, Oliver Grothum, and Anette Eltner

High-resolution information on the processes and rates of soil erosion, transport, and deposition, offer important knowledge for soil erosion modelling, and the protection and sustainable management of soil. It helps improve the cross-scale understanding on aspects as aggregate breakdown, rill erosion, swelling and shrinking effects, and rill-network evolution. As a non-invasive, high-resolution, and cost as well as time-efficient method, Structure from Motion (SfM) presents a valuable tool to calculate soil loss, depict soil surface change detection, and offer high-resolution information on soil and soil erosion processes. Even though SfM shows in general higher erosion rates, due to the influence of non-erosive processes, the technique is altogether in good agreement with the sampling data at the outlet. We monitor soil erosion on multiple erosional plots and with spatial and temporal high-resolution photogrammetry to assess its feasibility over time.

For this purpose, we conduct 12 rainfall simulations on a three times one metre plot, on different sides, with different vegetation cover, tillage, and initial soil conditions. Seven to ten synchronized time-lapse cameras are set up around the plot, taking pictures every 10-60 seconds. The data thus obtained allow change detection assessment via digital elevation models of difference at least once per minute. The elevation change by SfM is validated via bulk density measurements, and sampling at the plot’s outlet assessing runoff, and sediment concentration at minute intervals. During an overflow experiment, we measure flow velocity via video using particle tracer and manually via colour tracer, gaining spatial and temporal distribution information on the flow velocity. Using low-cost sensors, we furthermore monitor the progress of the soil moisture and temperature during the whole rainfall simulation.

We present sampled and photogrammetric results based on a dozen rainfall simulations at the micro-scale with a very high temporal and spatial resolution. This gives an insight into spatial distribution and development of soil erosion processes on a sub-minute resolution. We compare these data to gain knowledge on the feasibility of temporal and spatial high-resolution SfM soil erosion assessment and their usability for the validation and calibration of process-based soil erosion models.

How to cite: Epple, L., Bienert, A., Grothum, O., and Eltner, A.: Soil erosion assessment via temporal and spatial high-resolution time-lapse Structure from Motion on rainfall simulation plots, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2582, https://doi.org/10.5194/egusphere-egu22-2582, 2022.

EGU22-3891 | Presentations | SSS11.4

Impact of grain size distribution and wind velocity on the armoring layer of aeolian megaripples 

lior saban, Itzhak Katra, and Hezi Yizhaq

Aeolian megaripples are a landscape formation widespread on Earth and Mars that develop in sand surfaces with a bimodal grain size distribution of coarse and fine grains. Megaripples are relatively high with a greater wavelength compared with normal sand ripples. Previous works provided quantitative information on the morphological characteristics, development, flattening mechanisms, longevity, and transverse instability of megaripples. It has been hypothesized that the sorting process of the initial bimodal size distribution is a key factor in megaripple formation. In this study, we experimentally explored the impact of the grain size distribution on the crest characteristics under different wind velocities in a boundary-layer wind tunnel. The controlled experiments allowed measurements of sand fluxes, particle size distributions, and ripple morphology by a laser module. The results reveal links between the rate of growth of the incipient megaripples, ripple height, and the armoring layer thickness and composition to wind velocity. The ripples grow higher as the wind velocity increases, and the armoring layer is thicker up to a certain wind velocity when erosion of the crest starts. In addition, the correlation between the armoring layer's nonlinear thickening rate and the ripples growth rate seems to indicate a fundamental connection between ripples height and the formation of the armoring layer, which is crucial for megaripples formation.

How to cite: saban, L., Katra, I., and Yizhaq, H.: Impact of grain size distribution and wind velocity on the armoring layer of aeolian megaripples, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3891, https://doi.org/10.5194/egusphere-egu22-3891, 2022.

EGU22-4865 | Presentations | SSS11.4

Effect of coarse gravel and cobble size particles’ shape on their dynamic image analysis results 

Tamara Kuzmanić and Matjaž Mikoš

The Dynamic Image Analysis (DIA), standardised in ISO 13322-2:2006 and ISO 9276-6:2008 standards, introduces a simple and fast analysis of diverse particle shape and size parameters, compared to a manual method or static image analysis, respectively. While the DIA method is time conserving, as it is a quasi-3D method, it is susceptible to greater variations in results compared to a real-3D, time consuming static image analysis. A variation analysis of the DIA results as a function of the analysed particles’ shape was the focus of our study. The particle shape plays a role in various processes, including wearing off (mechanical abrasion) during sediment transport or due to in-situ abrasion of larger sediment particles in fluvial environments.

More than 40 particles were randomly selected for the DIA analysis. Analysed particles included quarried, angular rock particles and rounded fluvial sediment particles. The selected particles had a geometric mean diameter in the range between 15 mm and 70 mm (coarse gravel to cobble size). The mass of particles was between 10 and 400 g. All particles were divided into four shape groups (bladed, prolate, equant, and oblate) according to Zingg’s shape classification. Axes' lengths used for shape classification were manually measured using a caliper. All particles were also individually analysed in a dynamic image analyser (quasi-3D image analyser) Microtrac Camsizer XL, using the accompanying software, PartAn 3D. The software evaluates 33 size and shape parameters of analysed particles, including dimensional (e.g. length, width, thickness, surface area, etc.) and dimensionless (e.g. ellipticity, sphericity, convexity, etc.) parameters. Three DIA repetitions of each particle were applied to estimate the mean values and variation (coefficients of variation, CV) in its results.

Furthermore, the effect of particles’ size, mass, and Zingg’s shape on the variability of the DIA results was investigated. Particles’ size, as well as particles’ angularity, showed no obvious effect on the variation in the DIA results. Quarried, angular particles had CV of 3.54% on average for all parameter results, while rounded, fluvial particles had CV of 3.68% for all parameter results. On the other hand, Zingg’s shape class showed an effect on the variation of both, dimensional and dimensionless DIA resulting parameters. Bladed particles displayed the greatest variations of all the resulting parameter values, with an average CV of 6.85%, and the greatest scatter of parameters’ CVs. When analysing such particles, it would be beneficial to conduct more than three repetitions for more accurate results. Since the DIA analysis is a fast method, this is not a problem in order to get a robust estimation of coarse particle shape. Additionally, observing the parameters themselves, “concavity” and “angularity” had the highest CVs, namely 13.35% and 10.24%, as well as the greatest scatter of the CVs. Parameters “convexity”, “solidity”, and “sphericity” had the lowest CVs, namely 0.12%, 0.26%, and 0.96%, respectively, as well as the lowest scatter of the CVs.

How to cite: Kuzmanić, T. and Mikoš, M.: Effect of coarse gravel and cobble size particles’ shape on their dynamic image analysis results, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4865, https://doi.org/10.5194/egusphere-egu22-4865, 2022.

EGU22-4928 | Presentations | SSS11.4

Testing of soil aggregate stability by means of laser diffractometer Mastersizer 3000 

Jan-František Kubát, Michal Vrána, David Zumr, and Petr Kavka

Good stability of soil aggregates is an essential characteristic that positively affects soil health, increases agronomic productivity, decreases susceptibility to soil erosion and can improve carbon sequestration. The most common laboratory procedure for determining soil aggregate stability is a water resistance index (WRI) which is based on a wet sieving method. Within this contribution we introduce a newly developed method which utilizes laser diffraction for estimating the water resistance index of soil aggregates (WRILD). Recently, this newly introduced method has been tested and compared with the Kemper & Rosenau equation. This new method was developed with an emphasis on comparability to the standard sieving procedure performed with the Eijkelkamp wet sieving apparatus. The water stability of the aggregates was tested across five different soil types (haplioc Luvisol, Chernozem, Regosol, Fluvisol, Cambisol). The pH of each sample was measured and according to this value, either hexametaphosphate or sodium hydroxide was used to disrupt the stable aggregates along with ultrasound. The resulting WRILD is determined based on a fraction of undisturbed aggregates recorded for each fictitious sieve size. Initial results show promising agreement between the standard sieving and laser diffractometer methods. The advantage of the latter is a much faster processing time of a large number of samples and their replicates. This new method has a lower variability of results. However, further measurements are needed to validate the method.

This study has been supported by the Grant Agency of the Czech Technical University in Prague, grant No. SGS20/156/OHK1/3T/11 and EC H2020 Project 101000224 (TuDi).

How to cite: Kubát, J.-F., Vrána, M., Zumr, D., and Kavka, P.: Testing of soil aggregate stability by means of laser diffractometer Mastersizer 3000, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4928, https://doi.org/10.5194/egusphere-egu22-4928, 2022.

EGU22-4947 | Presentations | SSS11.4

Rainfall Simulators – how plot scale affects results 

Martin Neumann, Petr Kavka, Romana Kubínová, Adam Tejkl, Michal Vrána, Jan-František Kubát, and Tomáš Laburda

Rainfall simulators (RS) are commonly used tools for soil erosion research under natural conditions. This research was focused on the plot scale effect in the formation of surface runoff and soil loss. Two surface conditions were tested - grass and bare soil. All experiments were performed in field conditions on undisturbed soil samples located on the experimental site Řisuty, where CTU has been performing experiments with rainfall simulators for many years. Three experiments were performed to investigate the formation of surface runoff depending on area size, surface type and precipitation intensity. These experiments were performed on a surface with grass cover and also on a plot of ​​cultivated bare soil. For the bare soil experiment, the area was prepared just prior to the experiment itself. The grass plots were left to develop naturally for 2 years after sowing. A large rainfall simulator with a maximal experimental area of 16 m2 (8 m length 2 m wide) was used for this experiment. Four plots with lengths of 1, 2, 4 and 8 m (with widths of 1 m) were placed under the RS. Soil moisture sensors were placed on the plot at various depths to monitor the evolution of soil moisture over time. For the plot with the grass cover, a rainfall with variable intensity over 75 minutes was used (rainfall intensities 40, 60, 90 mm/h). Two follow-up experiments were conducted on the plot with bare soil. Rainfall intensities were a constant 60 mm/h for 30 minutes after surface runoff starts. The second experiment started 15 minutes after the conclusion of the first one. This same methodology has been used in other, past, experiments with RS so our results are directly comparable to those previously conducted experiments. All results were recalculated to 1m2 and 1 minute intervals for comparison in addition to the cumulative values for each experiment.

Results from the plots with grassland showed significant differences between plots of different lengths. Experimental plots with bare soil provided higher variability in results on the plots in their natural moisture (dry condition), than those of the fully saturated samples. Results showed that the length of the plot is more important for soil loss than for surface runoff processes. The heterogeneity of the infiltration soil properties would play significant role on the experiment results.

This study has been supported by Grant Agency of the Czech Technical University in Prague, grant No. SGS20/156/OHK1/3T/11 and the Project QK1910029.

How to cite: Neumann, M., Kavka, P., Kubínová, R., Tejkl, A., Vrána, M., Kubát, J.-F., and Laburda, T.: Rainfall Simulators – how plot scale affects results, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4947, https://doi.org/10.5194/egusphere-egu22-4947, 2022.

EGU22-5032 | Presentations | SSS11.4

Experimental laboratory setup for identification and quantification of transported soil particles in subsurface flows 

Laura Kögler, Thomas Iserloh, Alina Helmer, Andreas Ruby, Miriam Marzen, Manuel Seeger, and Johannes B. Ries

There is a knowledge gap concerning the identification and quantification of transported soil particles in subsurface flows. If these soil particles reach relevant amounts, protective measures against soil erosion applied on the surface may be partially ineffective, and the soil may degrade further and unnoticed. In consequence, there is a need to develop a method to determine this subsurface particle transport in situ. A laboratory flume experiment was developed to examine the processes of fine soil material transport as well as the development of sediment traps for in situ measurements. Since, steep-slope vineyard soils are especially prone to subsurface flows they were subject of first investigations: The shallow steep-slope vineyard soils of the Mosel wine region are mainly developed from Devonian argillaceous schists and Pleistocene terrace sediments. Among the main physical characteristics are a very high rock fragment content and a loose surface layer over a strongly compacted layer caused by the combined action of tillage and weathering. This structure is presumably prone to subsurface flows within the upper horizon, especially in periods of very high soil moisture. The results of this laboratory experiment clearly confirm the presence of subsurface particle transport and the applicability of a sediment trap prototype consisting of a relatively simple and low-cost drain structure. 

How to cite: Kögler, L., Iserloh, T., Helmer, A., Ruby, A., Marzen, M., Seeger, M., and Ries, J. B.: Experimental laboratory setup for identification and quantification of transported soil particles in subsurface flows, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5032, https://doi.org/10.5194/egusphere-egu22-5032, 2022.

EGU22-6569 | Presentations | SSS11.4

Development of a multimodal approach to monitoring of coastal waters 

Morena Galešić Divić, Vladimir Divić, Marija Kvesić, Mak Kišević, and Roko Andričević

The levels of monitoring quality and quantity for environmental factors present continuous challenges for engineers, scientists, and related decision-making bodies. This is particularly highlighted in complex ecosystems such as coastal areas and estuaries with the pronounced intersection of numerous natural gradients. On the other hand, constant technological advances of different measurement equipment, including the remotely operated vehicles and their modular design, are introducing vast opportunities for gathering various data. Furthermore, readily available open-source solutions for hardware and software domains present additional potential in developing the framework for multipurpose monitoring. We are developing a multimodal approach to monitoring coastal zones, particularly in estuarine waters, which comprises using commercially available measurement equipment (multisensory probes) and, more importantly, building task-oriented drifters with relevant sensors. Furthermore, we are implementing the usage of remotely operated vehicles, both areal and underwater, which present a suite of measurement devices for data amplification (metadata), collection, and verification, especially when coupled with satellite data. Moreover, the use of drones has additional value in reducing the disturbance of natural conditions and improving the safety of researchers. So far, the monitored data include conductivity, temperature, pressure, wave heights, water velocity, dissolved oxygen, chlorophyll, colored dissolved organic matter, turbidity, hyperspectral properties, and further research including thermal camera and LIDAR technology. Different measurement approaches also contain several issues such as temporal and spatial scale comparability and interoperability, while drone use implicates some concerns about privacy, noise, and the general social attitude. These issues are currently being investigated, generating some challenges for future progress. Through current multiple research projects, we are testing the presented multimodal approach on the case study of the river Jadro estuary near the city of Split (Croatia), aiming to develop a field laboratory with the potential to be replicated in any similar hydrological monitoring.

How to cite: Galešić Divić, M., Divić, V., Kvesić, M., Kišević, M., and Andričević, R.: Development of a multimodal approach to monitoring of coastal waters, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6569, https://doi.org/10.5194/egusphere-egu22-6569, 2022.

EGU22-6585 | Presentations | SSS11.4

New opportunity of RS - variable rainfall simulator for plots variable plots area 

Petr Kavka, Martin Neumann, Tomas Laburda, Jan Devátý, and Tomas Dostal

Rainfall simulators are devices commonly used to study soil erosion in field and laboratory conditions. There is still an effort to develop equipment that will: not require a large number of workers, be easy to manipulate, have simple control systems, and automatically record data and parameters.

This paper shows a new variable rainfall simulator with many possibilities, it consists of four independent sections that can be joined into larger simulator. Each section can simulate rain on a 2x4m area. The rain is generated by swinging and pulse mechanisms. Soil sensors and rain gauges are integrated into the control unit.

The whole device is placed on a trailer that is moveable by car. On the trailer, there is also a 1m3 water reservoir, control unit based on WAGO control unit with electric switchboard, water pump, hydraulic system and valves. The device could be controlled by any laptop or smartphone with a wifi connection.

Each section (4 total) consists of a boom with 3 nozzles connected to a stepper motor for swinging. Each nozzle has a valve to interrupt the water supply to the nozzle. These sections can be connected linearly to increase the length of the rainfall area (to maximum 16 meters), or they can be used parallelly, thereby performing multiple replications at one time on multiple areas side by side. All these sections are computer-controlled and are independent of each other. Each section contains sensors for measuring soil moisture and tipping bucket rain gauges for continuous monitoring of actual soil properties and control of the rainfall. Remote control also allows for variable rainfall scenarios. The device allows the use of both pulsed and swinging rainfall formation or their combination and thus a large variability in the choice of nozzles according to the purpose of the experiment. Water is pumped by the gas water pump throughout the redistributions and pressure reducing valve, which can manage the required stable pressure. It also contains a datalogger so all measurements and parameters are collected in one device.

This study has been supported by the Grant Agency of the Czech Technical University in Prague, grant No. SGS20/156/OHK1/3T/11 and the Project QK1910029.

How to cite: Kavka, P., Neumann, M., Laburda, T., Devátý, J., and Dostal, T.: New opportunity of RS - variable rainfall simulator for plots variable plots area, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6585, https://doi.org/10.5194/egusphere-egu22-6585, 2022.

EGU22-6627 | Presentations | SSS11.4

An experimental study on effects of grain size distribution on debris flow deposition characteristics 

Hiroaki Izumiyama, Takao Yamakoshi, Yuya Takahashi, Yuki Nishiguchi, and Ryosuke Okuyama

Precise prediction of travel distance of debris flow is required to design countermeasure strategy against natural disaster. A lot of numerical simulation tools have been developed using a selected shear stress which has been modeled to express the characteristics of debris flow and a modeled entrainment ratio. However, the calculation results for past events often show underestimated travel distance. One of the possible causes of the fact may be that the effect of grain size distribution on the entrainment ratio. This is because most models have been modeled assuming debris flow is constituted by a single size particle. An entrainment ratio model involving the effect of particle size distribution may improve the calculation reproductivity. From an engineering point of view, it is desirable that the effect can be taken into account as simply as possible. In this study, we conducted an experiment to know the extent to which the entrainment ratio is affected by the grain size distribution. The experiments were undertaken in a rectangular flume the channel slope of which can be adjusted at two points in longitudinal direction. Two-size mixtures of spherical glass beads or gravels were set as debris flow material. For each mixture, travel distance of debris flow and fractions of each size of debris flow material deposited near the channel slope change point were measured using high-speed camera.

How to cite: Izumiyama, H., Yamakoshi, T., Takahashi, Y., Nishiguchi, Y., and Okuyama, R.: An experimental study on effects of grain size distribution on debris flow deposition characteristics, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6627, https://doi.org/10.5194/egusphere-egu22-6627, 2022.

EGU22-6737 | Presentations | SSS11.4

Laboratory rainfall simulation for surface runoff generation on tephra-covered slopes with different fine particle content 

Marino Hiraoka, Naoki Imamori, Takeshi Shimizu, and Koji Ishida

After pyroclastic materials are deposited in a watershed following a volcanic eruption, the risk of debris flow initiation may increase during subsequent rainfall events. Clarifying the rainfall-runoff process on tephra-covered slopes is essential to understand the mechanism of debris flow initiation after an eruption. Because the quality and quantity of pyroclastic materials vary from volcano to volcano, and from eruption to eruption of the same volcano, each rainfall-runoff process is expected to differ accordingly. Laboratory rainfall simulation is useful to highlight parameters (rainfall and sample conditions) that may affect the surface runoff process on slopes during and after a volcanic eruption. In this study, a laboratory experiment was conducted using a calibrated rainfall simulator to investigate how the occurrence of surface runoff during the first rainfall after an eruption depends on the fine particle content. Pyroclastic material was volcanic ash collected on Mount Sakurajima, Japan and the fine particle content Fc was adjusted using artificial silt: Sample A (Fc = 20%, control) and Sample B (Fc = 30%, adjusted). The experimental plots (1723.4 cm2 of the projection area) were prepared by filling each sample with a 5 cm thickness at a constant pressure on highly permeable silica sand, and placed at an inclination of 10°. The initial moisture condition of both samples was assumed to be dry (≈ 5% of water content ratio). The rainfall simulation was performed for 3 hours on each sample at an intensity of 30 mm h-1. Runoff water including sediment from the experimental plot during the simulation was captured at the lower end of the plot and the weight was recorded. Two soil moisture sensors were buried 2.5 cm below the surface of each sample to measure the change in volumetric water content (VWC) over time. Runoff water including sediment occurred and increased with time on Sample B though hardly occurred on Sample A. In both samples, the VWC increased with time and eventually approached a constant value. However, the maximum value of the VWC, and the time to reach the maximum value, were different; lower and slower in Sample B. The saturated hydraulic conductivity of Sample B was one order of magnitude lower than that of Sample A. These comparative results suggested that surface runoff may be greater during the first rainfall after an eruption because the infiltration is lower when the fine particle content, that is particle size distribution, in pyroclastic materials is high.

How to cite: Hiraoka, M., Imamori, N., Shimizu, T., and Ishida, K.: Laboratory rainfall simulation for surface runoff generation on tephra-covered slopes with different fine particle content, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6737, https://doi.org/10.5194/egusphere-egu22-6737, 2022.

EGU22-6912 | Presentations | SSS11.4

Flow Resistance Due to Rigid and Flexible Vegetation: A Review 

Laxman V Rathod, Prafulkumar V Timbadiya, and Bandita Barman

Riverbank and floodplain vegetation substantially affects the fluvial processes and play a key role in river hydraulics and river management. Presence of vegetation influences the water levels, flow velocity profiles and resistance to flow. Therefore, better understanding of behavior of flow over vegetation is required in design of vegetative channels, construction of stage-discharge curves, determining horizontal flow structure around hydraulic structures, and to develop numerical models. A detailed review of flow resistance due to rigid and flexible vegetation has been done under both emergent and submerged conditions. Based on the flow conditions and vegetation features, the investigators made a transition between rigid, flexible, emergent, and submerged vegetation. The variation of the flow field in the vegetative open channel follows a two-layer approach, it is almost constant inside the vegetation layer and logarithmic one above the vegetation layer. Firstly, several theoretical approaches for determining the resistance due to rigid vegetation in emergent and submerged condition are discussed. For simplicity many investigators have considered a rigid cylinder without side branches and foliage, the vegetation having constant height, stem diameter, and uniform flow condition was considered as rigid. The resistance due to vegetation also depends on the uniform and staggered pattern arrangements, the latter has more impact on flow in comparison to the former. The analysis for flexible vegetation is complex due to the complex nature of vegetation, and it is difficult to take the heterogenous nature of field vegetation into the account. The resistance due to flexible vegetation is a function of the height of vegetation, vegetation density, foliage, plant form alignment of vegetation, submergence ratio, and type of vegetation. The flexible vegetation also assumes different configurations depending on the hydrodynamics of flow and bending stiffness. Furthermore, more recent approaches for describing the resistance due to flexible vegetation are presented.

Keywords: Rigid vegetation, Flexible vegetation, Resistance to flow, Rivers, Floodplains, Flow field

How to cite: Rathod, L. V., Timbadiya, P. V., and Barman, B.: Flow Resistance Due to Rigid and Flexible Vegetation: A Review, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6912, https://doi.org/10.5194/egusphere-egu22-6912, 2022.

EGU22-7001 | Presentations | SSS11.4

Review on Morphology and Turbulence Characteristics in Meandering Rivers 

Yatirajulu Gurugubelli, Prafulkumar V Timbadiya, and Bandita Barman

Meandering rivers are one of the most complex earth-surface systems and have a significant impact on riverine ecosystem mechanics. Because of the fascinating intricacy of meander morphodynamics, scholars from various disciplines, from fluid mechanics, fluvial hydraulics, and geomorphology, have been fascinated by meandering rivers. In spite of many years of research still, many processes regarding meandering rivers are not answered. Recent decades of research are reviewed herein in this paper. Scholars and experts have studied about flow features and processes such as a distorted profile of longitudinal velocity, secondary flow, inner and outer banks flow separation, etc., and sedimentological processes such as point bars, bend scour, lateral bed slope, etc. Many of them studied time-mean flow, Reynolds stresses, turbulence intensities (TI), turbulent kinetic energy, quadrant analysis, and turbulence scales, etc. under the effect of meandering bends. Many laboratory experiments are carried out to understand the individual processes under different conditions. Due to the rapid enhancement of soft computational techniques, these experimental data sets can be validated. Some future recommendations are also suggested in the field, laboratory, and numerical modelling.

Keywords: Meandering rivers, secondary flow, Reynolds stresses, turbulent kinetic energy, turbulence scales

How to cite: Gurugubelli, Y., Timbadiya, P. V., and Barman, B.: Review on Morphology and Turbulence Characteristics in Meandering Rivers, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7001, https://doi.org/10.5194/egusphere-egu22-7001, 2022.

EGU22-7850 | Presentations | SSS11.4

Identification of erosion rills via machine learning 

Adam Tejkl and Petr Kavka

Water erosion is the physical wearing of the earth’s surface. Erosion removes surface soil material (topsoil), reduces levels of soil organic matter, and contributes to the breakdown of soil structure.

The large amount of time required for manual identification of the rills is an obstacle in effective erosion research. Nevertheless, a significant number of rills have already been manually marked for various studies. It is therefore possible to use these already obtained data to train an algorithm, which will then automatically identify the grooves. The experiment is carried out using a rain simulator. The first part of the precipitation lasts 30 minutes, followed by a 15-minute break and another 30-minute precipitation. Photos for SfM method of creation detailed DMT are taken in three states a) before the simulation, b) between the simulations and c) after the experiment. On the finished DMT rills are manually digitalized in ArcGIS Pro, and their cover polygons are thus created.

Nhu et al. 2020 in his work dealt with the evaluation of the capabilities of the Keras deep learning model and their optimization algorithms. Keras is a deep learning API written in Python, running on top of the machine learning platform TensorFlow.

The image is converted to a matrix using the Raster to Array tool. The corresponding square is selected from each band and a mosaic is then created from these squares. The length of the square edge is chosen. The resulting mosaic consists of individual squares of the image spectrum bands placed side by side to form a rectangular image.

The Kaggle Cat Dog model was used as the basis for creating the model. This is a model designed to sort color images into two groups. This model was modified by inserting mosaics into the model instead of images. The training dataset is loaded into the model and divided into calibration and validation parts for the purpose of model calibration. This distribution was chosen to be 20%. The image size was specified as 100x200 pixels, with pixel of size 0,1 cm.

The individual mosaics not used for model training are then classified by this trained model. Loading mosaics for classification is controlled by a CSV file, which contains the name of the mosaic, the position of the mosaic in the image and whether it is intended for training or not. The probability value with which the mosaic is classified as erosive or not is then added to this CSV file. Training mosaics are omitted and assigned a no_data value.

The CSV file of the classified image is loaded back into the GIS environment using a Python script. The script loads the CSV file and creates an according classified raster.

The research is funded by the Technological Agency of the Czech Republic (research project SS01020366) and an internal student CTU grant (SGS20/156/OHK1/3T/11).

How to cite: Tejkl, A. and Kavka, P.: Identification of erosion rills via machine learning, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7850, https://doi.org/10.5194/egusphere-egu22-7850, 2022.

Soil erosion has environmental and socioeconomic significances. Most of the loess soils throughout the world are subjected to increased land uses such, which increased soil destruction and dust emission to the atmosphere. There is a distinguish interest in applications for dust control and soil stabilization. This study examines empirically the use of a metakaolin-based geopolymer for dust control and soil stabilization in a semi-arid loess soil that is subjected to land uses and erosional processes. The application of the geopolymer for dust control in comparison with common products (brine, bitumen, PVA) resulted with no soil erosion and dust emission by wind tunnel simulations. As a soil stabilizer, the geopolymer tested in this study provides remarkably good results in the tensile test. The most successful composition of the geopolymer, which is activation solution of sodium silicate and sodium hydroxide (NaOH) together with an addition of 30% metakaolin, obtained soil strength of 23900N after 28 days. The attempt to replace NaOH with lime (CaO) in the activation solution was far inferior to the original composition.

How to cite: Katra, I.: A clay-based geopolymer in loess stabilization to water and wind soil erosion, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8329, https://doi.org/10.5194/egusphere-egu22-8329, 2022.

EGU22-9688 | Presentations | SSS11.4

Experimental wind erosion study in argan woodlands, badlands and wadis in the Souss-Massa Basin, Morocco 

Miriam Marzen, Mario Kirchhoff, Irene Marzolff, Ali Aït Hssaine, and Johannes B. Ries

The Souss-Massa basin features unique and centuries old human–environment interactions in a vulnerable arid ecosystem. A high pressure caused by intense agriculture combined with increasing water scarcity causes degradation of soils and vegetation cover. The test sites are located on alluvial fans from the flanking High Atlas Mountains in the north and the northern talus of the Anti Atlas in the south. Wind-tunnel tests were applied to investigate susceptibility to wind erosion from sparse argan forest, badland and wadi surfaces. The results show diverse potential for emission of coarser and finer mineral dust with highest values found on freshly tilled surfaces in the extensively managed argan forest and sandy wadi surfaces. For one tested wadi section, very erodible areas were found in close vicinity to areas with much lower sediment yield. The wind-erosion dynamics are thus closely related to fluvial processes previously influencing surface characteristics as well as previous sorting processes by wind impact. The strongly crusted surfaces attributed to badland environments are least susceptible to wind erosion, with the exception of higher emissions measured on the wadi rim.

The data give insight into possible wind-erosion patterns under non-extreme wind regime and are a valuable basis for investigation of interactions between fluvial and aeolian processes in wadi structures.

How to cite: Marzen, M., Kirchhoff, M., Marzolff, I., Aït Hssaine, A., and Ries, J. B.: Experimental wind erosion study in argan woodlands, badlands and wadis in the Souss-Massa Basin, Morocco, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9688, https://doi.org/10.5194/egusphere-egu22-9688, 2022.

The phenomenon of multiphase splash can be a mechanism for transporting various types of pollution (e.g. petroleum substances), which makes it especially interesting in the context of environmental protection.

In this paper, the water splash phenomenon caused by the impact of a petrol drop on the water surface was simulated using the multiphaseInterFoam solver, i.e. a part of the OpenFOAM computational fluid dynamics software implementing the finite volume method (FVM) for space discretization. The simulations were experimentally validated based on splash images obtained with the use of a high-speed camera (2800 fps). Several variants of simulations with a varying drop size (in 0.10-mm steps) or drop velocity (in 0.025-m/s steps) were conducted.

Our experiments showed the importance of even a slight underestimation/overestimation of the properties of a falling drop on the simulation of the size and dynamics of splash in an immiscible liquid system. On the other hand, correct simulation made it possible to analyse aspects of the phenomenon that were difficult or even impossible to achieve experimentally due to the limitations of the image analysis method. This concerned the determination of the cavity width, the moment of cavity disappearance, the moment of jet formation (still below the water level), and the height of the jet. In addition, based on the validated simulation of splash in immiscible liquids, the scale of the spread of petroleum contamination as a result of the impact of a single droplet was determined.

The study was partly funded by the National Science Centre (Poland), based on decision no. 2017/26/D/ST10/01026.

How to cite: Sochan, A., Lamorski, K., and Bieganowski, A.: Effect of underestimation/overestimation of falling drop parameters on the result of splash simulation in an immiscible liquid system, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12186, https://doi.org/10.5194/egusphere-egu22-12186, 2022.

EGU22-386 | Presentations | SSS11.11

Seasonal influences on weathering processes in Turkish Badlands: Laboratory-based climate experiments 

Aydogan Avcioglu, Nevena Antić, Milica Kašanin-Grubin, Tolga Gorum, Tomislav Tosti, Biljana Dojčinović, and Omer Yetemen

The formation of badlands is commonly linked to the presence of dispersive deposits. Meanwhile, the sediments having more resistance to disintegration might also cause badlands formation given the time and adequate climate conditions. Although the notable influences of climate conditions have been highlighted on badlands morphologies so far, only a few attempts illustrated how materials weather in response to the diverse climate conditions. Supportingly, this research aims to learn about the primary weathering processes in various types of badland landforms (sharp-edged, rounded-edged, tower type, and calanchi mammellonari) in the Mediterranean arid, semi-arid, and humid climate of Turkey. For that purpose, we have used 11 badlands bedrock samples and determined climate conditions to simulate realistic weathering conditions in the laboratory condition. Bedrock samples were marl from the arid region, poorly sorted and packed sandstones from the Mediterranean region, highly consolidated sandstones from the humid region, pyroclastic sediments from the Cappadocia – semi-arid region. We have conducted four cycles representing each season during one water year to simulate precipitation and temperature variations. In this regard, we compiled the total amount and type of precipitation and insolation data for each season. Prior to the experiment, we have determined grain size, mineralogical composition, physico-chemical properties, the content of major elements of badland samples that enable us to discuss their morphological variety.

Regarding the temperature conditions, we simulated day spring/autumn (~20°C), mild winter (4-5°C), winter (-2°C), summer (~25 – 35°C) conditions considering fluctuation of temperature along the different seasons. After precipitation in each cycle, represented by either rain or snow, we collected leachates to quantify the variations between the seasons by measuring volume, pH, electrical conductivity (EC), concentrations of anion, and cations.

The laboratory experiments testing weathering processes under the different climate conditions and various types of badland materials show that the apparent differences in crust and desiccation crack emerged between the seasons. Although the obtained highest sediment flux in Mediterranean badlands having the deep crack systems, especially in autumn after high drying in summer, the ponds were formed relatively temporarily (a few hours) to long-lived (a few days) by filling the cracks with the sediments during spring seasons due to the scarcity in drying during the winter. The badland materials under arid climate conditions are highly likely to disintegrate because of their critical susceptibility to dispersivity; after one year of simulation (4th cycle), they became highly unstable due to their higher content of clay swelling capacity. However, the humid badland materials subjected to harsh climate conditions -snow and freezing conditions appeared to be the most durable samples reason for which is the strong cementation of coarse-grain sandstone. Seasonal trends in sample leachates' properties were also obtained. We can conclude that drying and wetting are more effective than the cooling and thawing processes in weathering of the bedrock from sampled badlands.

This study has been produced benefiting from the 2232 International Fellowship for Outstanding Researchers Program of the Scientific and Technological Research Council of Turkey (TUBITAK) through grant 118C329.

How to cite: Avcioglu, A., Antić, N., Kašanin-Grubin, M., Gorum, T., Tosti, T., Dojčinović, B., and Yetemen, O.: Seasonal influences on weathering processes in Turkish Badlands: Laboratory-based climate experiments, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-386, https://doi.org/10.5194/egusphere-egu22-386, 2022.

EGU22-577 | Presentations | SSS11.11 | Highlight

Is snow more distructive agent than rain from the perspetive of land degradation? 

Nevena Antic, Milica Stefanovic, Nevenka Mijatovic, Tomislav Tosti, Chunxia Xie, and Milica Kašanin-Grubin

Badlands, between researcher also known as natural field laboratories, present areas formed in a wide range of lithologies and different climate conditions. Complex mineralogical and physico-chemical sediment composition make them suitable for numerous laboratory experiments that can replicate changes that occur in the field.

As climate is one of the most significant factors in badlands forming and since climate changes are one of the biggest environmental concerns nowadays in this research badlands material was exposed to different conditions with the aim to monitor changes caused by extreme climate.

Three samples of badlands from China were organized in twelve sets and treated with rain, acid rain, ice (presenting snow) and acid ice (frozen acid rain). Six sets were treated with rain and acid rain of different intensity and under high and low temperatures during fifteen cycles, while the other six were treated with ice and acid ice during fifteen cycles, dried at 50°C for three cycles and then treated with ice and acid ice for additional five cycles. All of the samples were photographed after each cycle to follow physical change occurring on the sample surface Leachate was collected and volume, electrical conductivity, pH and ion concentration were measured.

Generally parameters did not oscillate much neither between samples, nor between treatments except electrical conductivity that was higher in the samples treated with ice and acid ice. Physical changes that occurred during the experiment present the main difference. In all of the samples high temperature caused the most noticeable decay, in samples treated with rain, sediment decay was minimal, while in samples treated with ice a noticeable decay occurred.

This experiment confirmed that high temperature/drought has great impact on land degradation, but interestingly pointed out that ice/snow and its thawing have greater impact on degradation then rain and its intensity. These kind of result opens up a new perspective on climate impact on forming and badlands evolution that should be further examined.

How to cite: Antic, N., Stefanovic, M., Mijatovic, N., Tosti, T., Xie, C., and Kašanin-Grubin, M.: Is snow more distructive agent than rain from the perspetive of land degradation?, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-577, https://doi.org/10.5194/egusphere-egu22-577, 2022.

EGU22-1461 | Presentations | SSS11.11

An ensemble model for gully erosion susceptibility mapping in highly complex terrain area 

Annan Yang, Chunmei Wang, Guowei Pang, Yongqing Long, Lei Wang, Richard M. Cruse, and Qinke Yang

Gully erosion is the most severe type of water erosion and is a major land degradation process. Predicting gully erosion susceptibility (GES) map efficiently and interpretably remains a challenge, especially in complex terrain areas. In this study, a new method called WoE-MLC model was used to solve the above problem, which combined machine learning classification algorithms and the weight of evidence (WoE) model in the Loess Plateau. The three machine learning algorithms taken into account included random forest (RF), gradient boosted decision trees (GBDT), and extreme gradient boosting (XGBoost). And the performance of the models was evaluated by the receiver operating characteristic (ROC) curve. The results showed that: (1) GES maps were well predicted by machine learning regression and WoE-MLC models, with the area under the curve (AUC) values both greater than 0.92, and the latter was more computationally efficient and interpretable; (2) The XGBoost algorithm was more efficient in GES map than the other two algorithms, with the stronger generalization ability and best performance in avoiding overfitting (averaged AUC = 0.947), followed by the RF (averaged AUC = 0.944), and GBDT algorithm (averaged AUC = 0.938); (3) Slope gradient, land use, and altitude were the main factors for GES mapping. This study may provide a possible method for gully erosion susceptibility mapping at large scale.

How to cite: Yang, A., Wang, C., Pang, G., Long, Y., Wang, L., M. Cruse, R., and Yang, Q.: An ensemble model for gully erosion susceptibility mapping in highly complex terrain area, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1461, https://doi.org/10.5194/egusphere-egu22-1461, 2022.

Soil water erosion and the resulting nutrient loss (such as phosphorus loss) and other ecological and environmental issues are still important obstacles that challenge the quality and efficiency of agricultural production and sustainable development in the Loess Plateau of China. Soil water erosion is affected by external environmental factors such as rainfall intensity and slope. Measures such as increasing vegetation coverage and reducing slope can play an external role in preventing and controlling soil and nutrient loss. At present, based on the Universal Soil Loss Equation (USLE) and the Revised Universal Soil Loss Equation (RUSLE), Chinese scholars have established regional soil loss models such as the erosion prediction model for small watersheds in loess hilly and gully regions, which play a very important role in soil erosion prediction and prevention. However, all the above models are empirical and lack consideration of the mechanism of soil erosion. In this study, using a self-designed needle drop micro-rainfall model device combined with the basic principles of soil electrochemistry, the effect of the interaction between soil particles on the loss of soil and its nutrients during long-term fertilization was studied on a mesoscopic scale. We found that: (1) the total phosphorus content of loess soil under long-term phosphate fertilizer treatment was 2.46 times that of non-phosphorus treatment, but its surface potential, surface charge density, surface electric field intensity, specific surface area, and number of surface charges were all lower than those of non-phosphorus treatment; (2) loess soils with varying levels of phosphorus exhibit a trend in which the loss of soil particles and phosphorus increases as the surface potential of the soil particles, and there is a linear positive correlation between the cumulative loss of particulate phosphorus and the cumulative loss of soil particles; (3) the net force (the combined force of van der Waals force, hydration repulsion force, and electrostatic repulsion force) between soil particles with different phosphorus levels at a given electrolyte concentration is all expressed as repulsive force and changes with the decrease of electrolyte concentration; (4) due to the relatively high surface potential of low-phosphorus loess soil, the electrostatic repulsion between soil particles is greater, resulting in poor stability of soil aggregates and more cumulative loss of soil particles and attached phosphorus. This study clarified the relationship between soil surface properties, soil internal forces, soil particles and nutrient element loss characteristics under long-term fertilization treatment, and provided new ideas for soil loss prevention and control and environmental risk assessment during long-term fertilization.

How to cite: Du, W., Hu, L., Hu, F., and Lv, J.: Using a tiny rainfall simulator to investigate the impact of soil internal forces on long-term location fertilization Loess soil loss, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2104, https://doi.org/10.5194/egusphere-egu22-2104, 2022.

The intensive management of orchards is posing substantial pressure to the surrounding environments, threatening the fruit quality and sustainable development of fruit industry. Arbuscular mycorrhiza (AM) is ubiquitous in soil established with arbuscular mycorrhizal fungi colonizing roots of host plants. AM connects the roots, bacteria and soil, enhancing the interactions between plants and soil microbiome, augmenting the nutrient uptake of plants, improving fitness in facing abiotic and biotic stresses, and strengthening the soil structure and function. Thus, AM is considered as an important grasp to improve the clean production, and an alternative for the shift from intensive to organic management in orchards. Our study showed that the disappearance or reduction of AM fungi community, in accordance with strong soil erosion and the losses of phosphorus. The practices, such as sod culture in orchards or inoculating with AM fungi, is beneficial to the recovery of AM fungi community. More suitable measures aiming at optimize the AM fungi community are being developed and extended in subtropical orchards. Collectively, the regulation of AM fungi community can be a significant way to improve the degree of clean productions of subtropical orchards.

How to cite: Liu, H.: Arbuscular mycorrhiza promotes the clean production of subtropical orchards, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2216, https://doi.org/10.5194/egusphere-egu22-2216, 2022.

EGU22-3018 | Presentations | SSS11.11

Annual crops yield, soil quality and gully filling practices at the Campiña in Southern Spain 

Carlos Castillo, Miguel Vallejo-Orti, Rafael Pérez, Encarnación V. Taguas, Robert Wells, Ronald Bingner, and Helena Gómez-MacPherson

Gully filling practices are periodically carried out in commercial farms of annual crops in the Guadalquivir Campiña to reduce the extension of gully erosion after erosive events. Large quantities of fertile topsoil are scraped, transported and deposited by tractors and specialized machinery within eroded waterways. Thus, gullies are filled at the expense of soil quality in their vicinity leading to decreasing crop yields.

          The aim of this study is to evaluate the impact of recent filling practices in soil quality and crop production (wheat and sunflower) in four small gullied watersheds (< 5 ha) in a commercial farm near the town of Córdoba (Spain). Soil samples were taken at four transects defining 27 locations in each watershed (108 in total), including scraped, non-scraped and reference areas for analyzing  chemical and physical soil properties (cation exchange capacity CEC, texture, organic matter OM, carbonate content). In addition, at each sampling site, bulk density (BD, clod method), undrained shear strength (USS, vane test), soil colour (Munsell) and soil erodibility (jet test) were measured. At the same locations, yield surveys were conducted in 2 m2 plots at the end of May and July 2021 in watersheds on wheat and sunflower, respectively. Wheat grain and sunflower seeds were extracted, dried at 60ºC and weighted for the determination of crop yield.

          Significant differences were found between sampling sites in chemical and physical soil properties, with scraped areas showing light colours, lower CEC and OM and higher dry BD and USS. Soil colour was found to be a good proxy for soil quality. Topography along with soil quality explained ~ 60% of the crop yield variance, with showed large variations (between 3 and 6 t·ha-1 for wheat and 100 and 800 kg·ha-1 for sunflower). These results emphasize the need for quantitative analyses of gully erosion degradation to provide alternative and more efficient and sustainable management approaches for gully control.

How to cite: Castillo, C., Vallejo-Orti, M., Pérez, R., Taguas, E. V., Wells, R., Bingner, R., and Gómez-MacPherson, H.: Annual crops yield, soil quality and gully filling practices at the Campiña in Southern Spain, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3018, https://doi.org/10.5194/egusphere-egu22-3018, 2022.

EGU22-4977 | Presentations | SSS11.11

Mobile Evaporite Enhances Cycle of Physico-chemical Erosion in Badlands 

Ci-Jian Yang, Pei-Hao Chen, Jr-Chuang Huang, and Tse-Yang Teng

Erosion-induced weathering is significant control of Earth’s surface process, however, the impacts of extreme weather on chemical weathering dynamics are poorly understood. Badland landscapes formed with highly erodible, homogeneous substrates have the potential to respond measurably to the individual event on scales that are open to direct observation. Here, using the high temporal resolution of suspended sediment and riverine chemistry records in the badland basin in southwestern Taiwan, we assess the mineralogical, geochemical and grain-size composition features that can be used to quantify landscape response to erosion drivers. During the typhoon period, sodium adsorption ratio is covariant with suspended sediment concentration, which can be assigned to sodium-induced dissolution. Further, sodium and calcium of suspended sediment account for about 10 % of the mass loss in this event, and the current-induced dissipation may be responsible for it. Plus, water chemistry is dominated by silicate weathering at 18 ton/km2/day. We expect that the observation of physico-chemical reactions in badlands provides a deeper explanation of coupling of hillslope-channel landscape within erosional cycle.

How to cite: Yang, C.-J., Chen, P.-H., Huang, J.-C., and Teng, T.-Y.: Mobile Evaporite Enhances Cycle of Physico-chemical Erosion in Badlands, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4977, https://doi.org/10.5194/egusphere-egu22-4977, 2022.

EGU22-5080 | Presentations | SSS11.11

Deciphering age and origin of gullied-shaped landscapes in Sierra de las Nieves National Park (South of Spain) 

Juan Martinez-Murillo and David Carruana-Herrera

Landscapes characterised with the existence of gullies and badlands are common in Mediterranean regions, but not so frequent in high mountains environments exceeding 1,500 m.a.s.l. This is the case of the study area: gullies and badlands located in the Sierra de las Nieves National Park. Both morphologies are not very extensive but has a remarkable impact in the landscape, geomorphology, and vegetation dynamic. In fact, their presence highly enriches the geodiversity of the national park. However, these morphologies have not been very much studied unless the geological characterization of the materials which let their development. Questions related to their origins and dynamic still remain unsolved.

This study aims to shed light on the age and origin of these gullied and badland morphologies located in the upper area from the Sierra de las Nieves National Park. Origin of gullies and badlands usually is related to either climate or human activity shifts, more common in cold regions the former whilst in semiarid regions the latter. In this case, Sierra de las Nieves, mainly of built on calcareous rocks, is characterised by Mediterranean mountain climate (exceeding 1,000 mm y-1 and humid and cold winter) and a long tradition of human activity in previous centuries. The experimental area is located in its upper part close to the highest peak (La Torrecilla, 1,919 m.a.s.l) forming plateu-like relief between 1,600 and 1,700 m.a.s.l where calcareous hills are separated by valleys of lower slopes filled with marls and quaternary sediments. Gullies and badlands are located in these materials. Vegetation corresponds to an opened-mixed vegetal formation of Quercus Faginea and Abies pinsapo Boiss. With typical high mountain shrubs and meadows. The current land use is a natural protected area, though goat and sheep grazing is permitted if the number of cattle is low. Before the declaration as protected area, the grazing pressure was major. In addition, the deforestation had a huge impact in last centuries.

To carry out the study, one transect was defined in one selected gullied-area including 15-sampling points and ecogeomorphology described: vegetation, soil surface conditions, and geomorphic processes. In addition, soils were also sampled in depth at the same points and some properties analysed in laboratory: color, texture, organic carbon, organic matter, pH, electrical conductivity, aggregate stability, and water holding. The transect run along the maximum slope line from one hill to the valley bottom and continue towards the top of the opposite hill. In the valley bottom, there was a fluvial Quaternary deposit covering and fossilising the marls formation. When outcropped, these marls were affected by concentrate water erosion forming gullies. Also, its surface developed typical morphologies of Badlands: cracks and crusts in dry conditions, short and shallow mudflows in wet conditions, and popcorn in winter. In that deposit, samples were taking in depth until the marls was reached and dated by means C14 technique. Ecogeomorphology inventory, soil properties, and datations have been used to shed light on the age and origin of the formation of gullies and badlands.

How to cite: Martinez-Murillo, J. and Carruana-Herrera, D.: Deciphering age and origin of gullied-shaped landscapes in Sierra de las Nieves National Park (South of Spain), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5080, https://doi.org/10.5194/egusphere-egu22-5080, 2022.

EGU22-5141 | Presentations | SSS11.11

Erosion monitoring with terrestrial laser scanning in representative biancane badlands of Central and Southern Italy 

Francesca Vergari, Antonella Marsico, Domenico Capolongo, and Maurizio Del Monte

This study aims to assess erosion dynamics in two Italian biancane badland sites, by means of  Terrestrial Laser Scanner (TLS), with high spatial resolution multitemporal surveys. The study sites are located in Tuscany and in Basilicata regions and are representative of the Mediterranean badland landscape. The former is a biancana subhumid badland hillslope of the Upper Orcia Valley, while the latter is a semiarid biancana landscape located in the tectonically active area of Aliano. The multitemporal survey and the morphometric analysis of the derived high resolution digital elevation models allowed to quantify the short- to medium-term erosion rates (5-10 years) affecting these landforms and to identify the main denudation processes responsible of the morphoevolution.

The results showed a very high erosion rate at both biancane sites, where it reaches, on average, 1.4 cm y-1 in Basilicata and 2.7 cm y-1 in Tuscany. The differences could be attributed to the dissimilar climatic conditions of the two sites:  Radicofani is affected by higher annual average rainfall, mainly due to a second peak (in addition to the autumn one) that occurs in spring, that is also reflected in enhanced mass movement events that model the subhumid biancane together with water erosion;  Aliano site is characterized by lower annual rainfall, mainly concentrated in late autumn-early winter, followed by long dry periods that also affect the erosion processes.

TLS is the ideal method to quantify denudation and erosion dynamics in biancane badlands since it allows very precise and detailed morphology detection. Furthermore the obstacles due to time-consuming and labor-intensive surveys, together with the shadowing effects, can be easily overcome because biancane generally origin in gentle dipping slopes, thus effortlessly accessible areas, where vegetation is often sparse as a result of ancient anthropic deforestation practices or climatic conditions in more arid badlands.

How to cite: Vergari, F., Marsico, A., Capolongo, D., and Del Monte, M.: Erosion monitoring with terrestrial laser scanning in representative biancane badlands of Central and Southern Italy, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5141, https://doi.org/10.5194/egusphere-egu22-5141, 2022.

EGU22-5171 | Presentations | SSS11.11

Drought and surface water ponding monitoring in irrigated landscapes 

Giulia Sofia, Claudio Zaccone, and Paolo Tarolli

Drought and surface water ponding (DSP) are one of the major natural hazards affecting crop production, especially in low-land irrigated areas.

This work focus on an irrigated area in north-eastern Italy, a territory of about 400k ha, part of the central Veneto, where water demands is met through a mechanical and well-regulated widespread distribution of water resources. For this complex landscape, reliance on weather data alone is not sufficient to monitor areas of DSP, particularly when these data can be i) untimely, sparse, and incomplete, and ii) water inflows are mechanically controlled, with varying flow exchanges, not necessarily reflecting climatic fluctuations.

Augmenting climatic data with satellite images to identify the location and severity of DSP phenomena, therefore, is a must for complete, up-to-date, and comprehensive coverage of current crop conditions.

The objective of this research is to apply and standardize open source data to augment DSP-monitoring techniques. The study was conducted with 5 years (2015-2021) of Sentinel2-10m satellite images. Z-scores of the NDVI distribution are used to estimate the probability of occurrence of the present vegetation condition at a given location relative to the possible range of vegetative vigor, historically. This information is coupled with soil data, topographic information, and accurate information on the system water fluxes, to identify and target locations more susceptible to DSP. Findings indicate that the framework, along with other monitoring tools, is useful for assessing the extent and severity of DSP at a spatial resolution of 10m. The framework is capable of providing a near-real-time indicator of vegetation conditions within irrigated regions, and, more specifically, areas of varying water management conditions.

The present study is founded by the Consorzio LEB, Cologna Veneta, Italy

How to cite: Sofia, G., Zaccone, C., and Tarolli, P.: Drought and surface water ponding monitoring in irrigated landscapes, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5171, https://doi.org/10.5194/egusphere-egu22-5171, 2022.

EGU22-6290 | Presentations | SSS11.11

The influence of mineralogical composition on degradation of badland materials under different climate conditions 

Milica Stefanović, Branimir Jovančićević, Tomislav Tosti, Biljana Dojčinović, Nevena Antić, Francesc Gallart, Mariano Moreno-de las Heras, and Milica Kašanin-Grubin

Badlands are areas with limited vegetation, reduced or no human activity, and a great variety of geomorphic processes present. Besides lithology, the climate has a crucial role in the initiation and development of badlands. Controlled conditions during laboratory experiments provide detailed insight into processes that occur in the nature. Many studies have shown that the type and content of clay minerals, specifically presence of smectite is important for predicting the behavior of sediments subjected to different weathering treatments like freezing, thawing, wetting, and drying.

This study is aimed at comparing changes in physico-chemical properties of sediments caused by simulations of climatic conditions. For these experiments, three unweathered samples with different mineralogical content were taken from the Vallcebre and Bagà badlands in Spain. Besides quartz and calcite as dominant minerals, one sample contained smectite and gypsum, the second smectite, and the third neither smectite nor gypsum. The experiment was set up in a way that each sample had three sub-samples from which one was subjected to rain, the second to snow, and the third was the control sample. The experiment had two parts. In the first  part, after simulation of rain (~140 ml) or snow (~150 g), samples together with a control sample were placed in a climate chamber at a temperature of -3 °C. After initial 15 cycles, in the second part of the experiment, all samples regardless of the previous treatment were subjected to rain (~140 ml), after which together with the control sample were placed in a climate chamber at a temperature of 50 °C. These treatments were repeated 8 times. 

Throughout the experiment, after each cycle, samples were photographed for monitoring surface changes, while the leached solution was collected and its volume, pH, electrical conductivity (EC), and ion concentrations were measured. Field Emission Scanning Electron Microscopy (FESEM) results showed that the changes in microstructure occurred after weathering experiments, while Brunauer-Emmett-Teller (BET) surface area analysis confirmed that the sample with only smectite had the highest specific surface. Also, it was corroborated that temperature without simulation of rain or snow does not affect the decomposition since the control samples remained intact during the whole experiment. Results have shown that snow is a more destructive agent, especially for the sample with smectite. Due to the content of gypsum, which increases the weathering resistance of the material, the sample with smectite and gypsum has shown a lower degree of degradation than the sample with only smectite, while sample without smectite and gypsum has shown the lowest degradation of the structure. Furthermore, the sample with smectite and gypsum has shown significantly different values of leachate pH, and EC. The concentration of sulphate was the highest in the sample with smectite and gypsum, which is a consequence of the dissolution of gypsum. The obtained results confirm that the response of sediment to different climatic factors depends on their mineral and physico-chemical properties and provide a basis for further research of prediction land degradation in conditions of climate change.

How to cite: Stefanović, M., Jovančićević, B., Tosti, T., Dojčinović, B., Antić, N., Gallart, F., Moreno-de las Heras, M., and Kašanin-Grubin, M.: The influence of mineralogical composition on degradation of badland materials under different climate conditions, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6290, https://doi.org/10.5194/egusphere-egu22-6290, 2022.

Soil erosion is a major worldwide threat to agriculture, food security, and ecosystems. Northeast Black Soil Region is an important food base in China and has an important strategic position for ensuring food security. Black Soil Region suffered severe water erosion due to long-term unreasonable utilization. The loss of topsoil in farmland decreases the amount of indispensable fertile soil for plants and reduces land productivity. The magnetic susceptibility (MS) technique has been successfully applied in describing farmland soil redistribution pattern as a reliable, economical, and rapid method, but it still need further study in soil loss quantification. In this study, four typical black soil farmland slopes (cultivated in 110a, 60a, 30a, and 20a) and a reference forest slope were selected, while undisturbed soil samples were collected at a 5 cm interval from the surface to 50 cm depth. The objective is to (1) utilize soil MS values (including χlf and χfd%) and other soil property indexes to represent soil loss on farmland slope; (2) recommend Δχ (the ratio of the difference between MS of the slopes cultivated in two certain periods) as an indicative index of soil loss rate to convert current soil erosion pattern in spatial scale to the certain historical period soil loss in temporal scale; (3) verify the feasibility of MS value in estimating farmland soil loss in multi-temporal scale by cultivation period. The results indicated that: (1) The MS approximately followed the trend of “110 a < 60 a < 20 a <30 a < Forest” at plow layer, that is, the slopes in longer cultivation periods expressed greater MS differences than reference slope; (2) Δχ values were greater at lowerslopes than those at upperslopes and middleslopes, and Δχ at all positions became nearly stable after 50a cultivation; (3) Δχ values were remarkably correlated exponentially with cultivation periods not only on the whole slope but three separated slope positions, with r2 from 0.50 to 0.86. Soil MS reflects soil redistribution and erosion patterns on farmland hillslope. MS values on farmland vary with cultivation periods which denotes soil redistribution. The MS variation caused by tillage was greater at lowerslope than middleslope and upperslope. Soil loss has exponent relation to the cultivation periods. Farmland in longer cultivation periods was associated with greater soil loss, but soil erosion and deposition tend to be stable for slopes in longer cultivation periods. This study demonstrates the feasibility to quantify soil loss in continuous tillage within centennial periods using the MS technique.

How to cite: Yu, Y., Zhang, K., and Liu, L.: Simulating soil loss on farmland hillslope cultivated in centennial periods using magnetic susceptibility in Northeast China, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8208, https://doi.org/10.5194/egusphere-egu22-8208, 2022.

Sparse mixed forest with trees, shrubs, and green herbaceous vegetation is a typical landscape in the afforestation areas in northwestern China. It is a great challenge to accurately estimate the woody aboveground biomass (AGB) of a sparse mixed forest with heterogeneous woody vegetation types and background types. In this study, a novel woody AGB estimation methodology (VI-AGB model stratified based on herbaceous vegetation coverage) using a combination of Landsat-8, GaoFen-2, and unmanned aerial vehicle (UAV) images was developed. The results show the following: 1) The woody and herbaceous canopy can be accurately identified using the object-based support vector machine (SVM) classification method based on UAV red-green-blue (RGB) images, with an average overall accuracy and kappa coefficient of 93.44% and 0.91, respectively. 2) Compared with the estimation uncertainties of the woody coverage-AGB models without considering the woody vegetation types (RMSE=14.98 t∙ha-1 and rRMSE=96.31%), the woody coverage-AGB models stratified based on five woody species (RMSE=5.82 t∙ha-1 and rRMSE=37.46%) were 61.1% lower. 3) Of the six VIs used in this study, the near-infrared reflectance of pure vegetation (NIRv)-AGB model performed best (RMSE=7.91 t∙ha-1 and rRMSE=50.89%), but its performance was still seriously affected by the heterogeneity of the green herbaceous coverage. The normalized difference moisture index (NDMI)-AGB model was the least sensitive to the background. The stratification-based VI-AGB models considering the herbaceous vegetation coverage derived from GaoFen-2 and UAV images can significantly improve the accuracy of the woody AGB estimated using only Landsat VIs, with the RMSE and rRMSE of 6.6 t∙ha-1 and 42.43% for the stratification-based NIRv-AGB models. High spatial–resolution information derived from UAV and satellite images has a great potential for improving the woody AGB estimated using only Landsat images in sparsely vegetated areas. This study presents a practical method of estimating woody AGB in sparse mixed forest in dryland areas.

How to cite: Wang, Z. and Shi, Y.: Estimating Aboveground Biomass for Sparse Tree-shrub Mixed Forest Using Muti-scale Optical Remote Sensing data in the Dryland Ecosystem, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8997, https://doi.org/10.5194/egusphere-egu22-8997, 2022.

EGU22-9429 | Presentations | SSS11.11

Weathering experiments on badland materials – advantages and obstacles 

Milica Kasanin-Grubin, Nevena Antić, Milica Stefanović, and Aydoğan Avciouğlu

Badlands are landscapes in which, due to lithological properties and climate conditions, various geomorphological processes are active, resulting in high erosion rates. Comprehensive work has been done in badland areas both on the big and on the smaller scale in order to understand the subtle differences between sites. The development of weathering profile and surface crust have been recognized as crucial for hillslope processes in badlands. However, solely field work is not able to provide necessary detailed information regarding weathering processes. To better understand the development of the weathering profiles and surface crust, it is necessary to monitor badland materials exposed to different climate settings in controlled laboratory conditions. There are a number of issues that have to be considered when creating the experiment protocol. Those include defining the appropriate size and shape of the sample, reproducing the close as possible to natural wetting and drying conditions, determining the inclination of the sample, setting the duration of the experiment and choosing parameters that should be measured. A minimal error in the experiment protocol could endanger the whole experiment process and produce invalid results. In this study we will show different experiment setups and an array of parameters that should be measured. We will also show the most common obstacles and experiment shortcomings.

Nowadays there are a number of techniques available to ensure the precise following of changes in the chosen parameters during the experiment. For example, using image analyses for monitoring the surface changes has proven to be a very useful tool in monitoring both crack development or change in number, size and shape of fragments. Physico-chemical analyses of leachate characteristics provide information on infiltrations rates and mineral dissolution.  Analyses of mineralogical and physico-chemical properties of the material prior and after the experiment provides clear insight into changes in surface grain size, mineralogy, chemical composition, porosity etc. 

Mimicking nature conditions is not straightforward and one must bear in mind the limitations of the laboratory experiments. High on the shortcoming list is intentional excluding of certain parameters so that other parameters could be undisruptively monitored. This has to be done carefully and with a clear rational. Next limitation includes the sample size which has to be usable in the laboratory, but also large enough to produce valuable results. And finally setting the climate parameters is most challenging. Setting the drying temperature and the precipitation intensity, duration and its chemical composition will greatly influence the results. In conclusion, laboratory experiments can be very useful in close monitoring of weathering processes. However, there are certain limitations that the experimenter should take into consideration and make sure it is not an obstacle to correctly answer the research questions.

How to cite: Kasanin-Grubin, M., Antić, N., Stefanović, M., and Avciouğlu, A.: Weathering experiments on badland materials – advantages and obstacles, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9429, https://doi.org/10.5194/egusphere-egu22-9429, 2022.

EGU22-12214 | Presentations | SSS11.11

Analysis of Soil and Water Conservation Benefit of Conservation Reserve Program 

Ruipeng Zhou and Qi Yang

Abstract: The Conservation Reserve Program (CRP) in the United States has been implemented for 35 years. The analysis and evaluation of its soil and water conservation benefits can provide experience and reference for the construction of China's the Grain for Green Project. Changes in CRP area and soil and water conservation benefits were analyzed based on CRP-related data obtained from the USDA Farm Service website and erosion rate data from the 2017 National Inventory Summary Report. From 1986 to 2020, the land area participating in CRP showed a bimodal change, with the largest area in 2007 reaching 1.498 million km2. The largest area of land types involved is Cropland, accounting for about 93%, and the largest area after the transfer of CRP is also Cropland, which is about 59%. During 2006-2017, soil, nitrogen and phosphorus reduction losses were 2318.28 million tons, 3.20 million tons and 0.64 million tons, respectively. When the CRP area reached 12 thousand km2, the soil, nitrogen and phosphorus sequestration no longer increased with the increase of the abandoned Cropland. There is a positive linear relationship between carbon dioxide absorption and CRP participation area, and the cumulative fixed CO2 amount from 2006 to 2017 is about 504 million tons. The U.S. land fallow protection project has significant soil and water conservation benefits, reducing soil erosion, nitrogen and phosphorus loss, and playing an important role in improving the ecological environment.

Key word: Conservation Reserve Program; soil loss; nitrogen; phosphorus; Carbon dioxide

How to cite: Zhou, R. and Yang, Q.: Analysis of Soil and Water Conservation Benefit of Conservation Reserve Program, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12214, https://doi.org/10.5194/egusphere-egu22-12214, 2022.

EGU22-12791 | Presentations | SSS11.11

Effects of check dam construction on nearby urban areas: a case study of Shaanxi Province, China 

Ran Guang, Xu xiangzhou, and Liu mingyang

Check dams helps to improve the arable-land quality, agricultural productivity, and ecological environment, and the check dams can also have obvious effects on food production and land use in nearby urban areas. In this study, the statistical yearbook data and remote sensing data from 2000 to 2020 were used to explore the effects of check-dam construction on the food production and land use in local and nearby area in Shaanxi Province. The results show that the construction of check dams has significantly improved the food production per unit of arable land in Yulin from 2000-2020, increasing the rate of the annual food production in Yulin to the total amount of Shanxi Province was increased from 6% to 19%. Hence, Yulin became the main region in Shaanxi province of food production due to the construction of check dams, which had greatly relieved the pressure of food production in Xian, resulting in a reduction of the annual rate of Xi’an to the total amount of Shanxi Province from 18% to 11% during the period of 2000 and 2020. In this period, the dam area of Yulin increases, and Xi’an has the largest net gain in urban construction land among all cities, with 98% of the increase in urban construction land coming from arable land. We found that Yulin is the richest city in the province for land resource reserves due to the construction of check dams, and the new arable land is mainly used to make up for the loss of arable land due to urban expansion in more developed cities such as Xi’an and Xianyang, and to a certain extent promotes the increase of urban construction land. Hence, the construction of soil and water conservation measures, such as check dams, can promote the balance between soil erosion control and urbanization in order to achieve a sustainable development of resources, environment, and economy.

How to cite: Guang, R., xiangzhou, X., and mingyang, L.: Effects of check dam construction on nearby urban areas: a case study of Shaanxi Province, China, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12791, https://doi.org/10.5194/egusphere-egu22-12791, 2022.

EGU22-279 | Presentations | GM2.7

Assessment of sensor pre-calibration to mitigate systematic errors in SfM photogrammetric surveys 

Johannes Antenor Senn, Jon Mills, Claire L. Walsh, Stephen Addy, and Maria-Valasia Peppa

Remotely piloted airborne system (RPAS) based structure-from-motion (SfM) photogrammetry is a recognised tool in geomorphological applications. However, time constraints, methodological requirements and ignorance can easily compromise photogrammetric rigour in geomorphological fieldwork. Light RPAS mounted sensors often provide inherent low geometric stability and are thus typically calibrated on-the-job in a self-calibrating bundle adjustment. Solving interior (lens geometry) and exterior (position and orientation) camera parameters requires variation of sensor-object distance, view angles and surface geometry.

Deficient camera calibration can cause systematic errors resulting in final digital elevation model (DEM) deformation. The application of multi-sensor systems, common in geomorphological research, poses additional challenges. For example, the low contrast in thermal imagery of vegetated surfaces constrains image matching algorithms.

We present a pre-calibration workflow to separate sensor calibration and data acquisition that is optimized for geomorphological field studies. The approach is time-efficient (rapid simultaneous image acquisition), repeatable (permanent object), at survey scale to maintain focal distance, and on-site to avoid shocks during transport.

The presented workflow uses a stone building as a suitable 3D calibration structure (alternatively boulder or bridge) providing structural detail in visible (DJI Phantom 4 Pro) and thermal imagery (Workswell WIRIS Pro). The dataset consists of feature coordinates extracted from terrestrial laser scanner (TLS) scans (3D reference data) and imagery (2D calibration data). We process the data in the specialized software, vision measurement system (VMS) as benchmark and the widely applied commercial SfM photogrammetric software, Agisoft MetaShape (AM) as convenient alternative. Subsequently, we transfer the camera parameters to the application in an SfM photogrammetric dataset of a river environment to assess the performance of self- and pre-calibration using different image network configurations. The resulting DEMs are validated against GNSS reference points and by DEMs of difference. 

We achieved calibration accuracies below one-third (optical) and one-quarter (thermal) of a pixel. In line with the literature, our results show that self-calibration yields the smallest errors and DEM deformations using multi-scale and oblique datasets. Pre-calibration in contrast, yielded the lowest overall errors and performed best in the single-scale nadir scenario. VMS consistently performed better than AM, possibly because AM's software “black-box” is less customisable and does not allow purely marker-based calibration. Furthermore, we present findings regarding sensor stability based on a repeat survey.

We find that pre-calibration can improve photogrammetric accuracies in surveys restricted to unfavourable designs e.g. nadir-only (water refraction, sensor mount). It can facilitate the application of thermal sensors on surfaces less suited to self-calibration. Most importantly, multi-scale survey designs could potentially become redundant, thus shortening flight time or increasing possible areal coverage.

How to cite: Senn, J. A., Mills, J., Walsh, C. L., Addy, S., and Peppa, M.-V.: Assessment of sensor pre-calibration to mitigate systematic errors in SfM photogrammetric surveys, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-279, https://doi.org/10.5194/egusphere-egu22-279, 2022.

EGU22-344 | Presentations | GM2.7

A sensitivity analysis of Rillstats for soil erosion estimates from UAV derived digital surface models. 

Josie Lynch, Derek McDougall, and Ian Maddock
Fertile topsoil is being eroded ten times faster than it is created which can result in lowered crop yields, increased river pollution, and heightened flood risk (WWF 2018). Traditional methods of soil erosion monitoring are labour-intensive and provide low resolution, sparse point data not representative of overall erosion rates (Báčová et al., 2019). However, technological advances using Uncrewed Aerial Vehicles (UAVs) obtain high-resolution, near-contactless data capture with complete surface coverage (Hugenholtz et al., 2015).  
 

Typically, analysing UAV-Structure-from-Motion (SfM) derived soil erosion data requires a survey prior to the erosion event with repeat monitoring for change over time to be quantified. However, in recent years the ability of soil erosion estimations without the pre-erosion data has emerged. Rillstats, which is specifically designed to quantify volume loss in rills/gullies, has been developed by Báčová et al., (2019) using the algorithm and Python implementation in ArcGIS to perform automatic calculations of rills. Although this technique has been developed, it is not yet tested. 

This research evaluates the sensitivity of Rillstats to estimate soil erosion volumes from Digital Surface Models (DSM) obtained using a DJI Phantom 4 RTK UAV. The aims of the research were to test i) the influence of UAV-SfM surveys with varying flight settings and environmental conditions and ii) the effect of the size and shape of the boundary polygon. Results will be presented that analyse the sensitivity of estimations of soil erosion to changes in DSM resolution, image angle, lighting conditions, soil colour and texture to develop recommendations for a best practice to optimize results. 

How to cite: Lynch, J., McDougall, D., and Maddock, I.: A sensitivity analysis of Rillstats for soil erosion estimates from UAV derived digital surface models., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-344, https://doi.org/10.5194/egusphere-egu22-344, 2022.

EGU22-2513 | Presentations | GM2.7

Evaluation of UAV-borne photogrammetry and UAV-borne laser scanning for 3D topographic change analysis of an active rock glacier 

Vivien Zahs, Lukas Winiwarter, Katharina Anders, Magnus Bremer, Martin Rutzinger, Markéta Potůčková, and Bernhard Höfle

Recent advances in repeated data acquisition by UAV-borne photogrammetry and laser scanning for geoscientific monitoring extend the possibilities for analysing surface dynamics in 3D at high spatial (centimeter point spacing) and temporal (up to daily) resolution. These techniques overcome common challenges of ground-based sensing (occlusion, heterogeneous measurement distribution, limited spatial coverage) and provide a valuable additional data source for topographic change analysis between successive epochs.

We investigate point clouds derived from UAV-borne photogrammetry and laser scanning as input for change analysis. We apply and compare two state-of-the-art methods for pairwise 3D topographic change quantification. Our study site is the active rock glacier Äußeres Hochebenkar in the Eastern Austrian Alps (46° 50’ N, 11° 01’ E). Whereas point clouds derived from terrestrial laser scanning (TLS) have become a common data source for this application, point clouds derived from UAV-borne sensing techniques have emerged only in recent years and their potential for methods of 3D and 4D (3D + time) change analysis is yet to be exploited.

We perform change analysis using (1) the Multi Scale Model to Model Cloud Comparison (M3C2) algorithm [1] and (2) the correspondence-driven plane-based M3C2 [2]. Both methods have shown to provide valuable surface change information on rock glaciers when applied to successive terrestrial laser scanning point clouds of different time spans (ranging from 2 weeks to several years). The considerable value of both methods also lies in their ability to quantify the uncertainty additionally to the associated change. This allows to distinguish between significant change (quantified magnitude of change > uncertainty) and non-significant or no change (magnitude of change ≤ uncertainty) and hence enables confident analysis and geographic interpretation of change.

We will extend the application of the two methods by using point clouds derived using (1) photogrammetric techniques on UAV-based images and (2) UAV-borne laser scanning. We investigate the influence of variations in measurement distribution and density, completeness of spatial coverage and ranging uncertainty by comparing UAV-based point clouds to TLS data of the same epoch. Using TLS-TLS-based change analysis as reference, we examine the performance of the two methods with respect to their capability of quantifying surface change based on point clouds originating from different sensing techniques.

Results of this assessment can support the theoretical and practical design of future measurement set-ups. Comparing results of both methods further aids the selection of a suitable method (or combination) for change analysis in order to meet requirements e.g., regarding uncertainty of measured change or spatial coverage of the analysis. To ease usability of a broad suite of state-of-the-art methods of 3D/4D change analysis, we are implementing an open source Python library for geographic change analysis in 4D point cloud data (py4dgeo, www.uni-heidelberg.de/3dgeo-opensource). Finally, our presented study provides insights how methods for 3D and 4D change analysis should be adapted or developed in order to exploit the full potential of available close-range sensing techniques.

[1] https://doi.org/ 10.1016/j.isprsjprs.2013.04.009

[2] https://doi.org/10.1016/j.isprsjprs.2021.11.018

How to cite: Zahs, V., Winiwarter, L., Anders, K., Bremer, M., Rutzinger, M., Potůčková, M., and Höfle, B.: Evaluation of UAV-borne photogrammetry and UAV-borne laser scanning for 3D topographic change analysis of an active rock glacier, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2513, https://doi.org/10.5194/egusphere-egu22-2513, 2022.

The main type of research material is multi-season aerial photography of the oil mining karst river basin was carried out by unmanned aerial vehicle.

Visual photo delineation revealed the consequences of mechanical transformations, some hydrocarbon inputs (bitumization) and salts (technogenic salinization) were also identified. The last processes were verified using materials from direct geochemical surveys (chemical analyses of soils, surface waters and sets of ordinary photo of sample plots).

It has been established that mechanical transformations, as a rule, is detected by the color and shape of objects. Less often, it is necessary to additionally analyze indirect photo delineation signs: shape of the shadow, configuration of the borders, traces of heavy vehicle tracks. Photo delineation signs of technogenic salinization are turbidity of water and the acquisition of a bluish-whitish color; the change of the color of the water body to green-yellow; white ground salt spots. The bituminization process is sufficiently reliably identified only in the presence of open oil spills on the surface of soil or water. Despite the difficulty of photo delineation, the use of orthophotos allows to identify 13 new sites (26 in total in the studied area) of the processes of bitumization and technogenic salinization, which had not been noted during previous large-scale field survey.

The use of orthophotos to detect the processes of bitumization and technogenic salinization is effective, especially in combination with direct field studies. Conditions for using aerial photography to identify the consequences of oil mining technogenesis: pixel resolution should be equals or more precise than 20 cm / pixel (more desirable – equals or more precise than 10 cm / pixel), snowless shooting season, lack or low level of cloud cover, relatively low forest cover percent. The spatial distribution of the identified areas of all types of technogenesis indicates a close relationship with the location of oil mining facilities.

A promising direction for the development of the research is associated with the use of multispectral imaging, the improvement of attend field surveys, as well as the expansion of the experience of aerial photography of oil fields located in other natural conditions.

The reported study was funded by Russian Foundation for Basic Research (RFBR) and Perm Territory, project number 20-45-596018.

How to cite: Sannikov, P., Khotyanovskaya, Y., and Buzmakov, S.: Applicability of aerial photography for identifying of oil mining technogenesis: mechanical transformations, bitumization, technogenic salinization, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2643, https://doi.org/10.5194/egusphere-egu22-2643, 2022.

EGU22-3163 | Presentations | GM2.7

Comparison of 3D surfaces from historical aerial images and UAV acquisitions to understand glacier dynamics: The Aneto glacier changes in 40 years 

Ixeia Vidaller, Jesús Revuelto, Eñaut Izagirre, Jorge García, Francisco Rojas-Heredia, and Juan Ignacio López-Moreno

Pyrenean glaciers have shown a marked area and thickness decrease in the last century, especially in the last decades, and currently are highly threatened by climate change. Out of the 39 glaciers existing in the Pyrenees in 1984, 23 very small glaciers remain in this mountain range, from which only four have more than 10 ha. Probably, the most emblematic glacier of these four is Aneto glacier as it is located in the North-East face of the highest summit in the Pyrenees, the Aneto peak (3404 m a.s.l.). This work presents the Aneto glacier surface reconstruction from aerial images obtained in 1981, and its comparison with the glacier surface obtained in 2021 with Unmanned Aerial Vehicles (UAV) images.

The 1981 and 2021 images have been processed with Structure from Motion (SfM) algorithms to reconstruct the Digital Surface Model (DSM) of the glacier and nearby terrain. Taking advantage of the accurate geolocation of the UAV images in 2021 (GPS with RTK/PPK surveying), the DSM obtained has a precise representation of the glacier surface. Oppositely the aerial images of 1981 lack precise geolocation and thus require a post-processing analysis. The aerial images of the '80s have been firstly geolocated with Ground Control Points (GCPs) of known coordinates within the study area (summits, crests, and rock blocks with unaltered position). After this initial geolocation, the DSM of 1981 was generated with SfM algorithms. Nevertheless, this DSM still lacks a geolocation accuracy. To allow a comparison between the 1981 and the 2021 DSMs, the glacier surface in 1981 was registered to the 2021 surface with an Iterative Close Point (ICP) routine in the surrounding area of the glacier. The technique described in this work may be applicable to other historical aerial images, which may allow studying glacier evolutions all over the world for dates without field observations.

The surface comparison generated with images that have a temporal difference of 40 years has shown the dramatic area and thickness loss of this glacier, with areas decreasing more than 68 m, and an average thickness reduction of 31.5 m. In this period, the glacier has reduced its extent by about a 60%. There is a recent acceleration in the rate of shrinkage if we compare these data with the obtained for the period 2011-2021, in which area loss reaches 15% and thickness reduction almost reaches 10 m. During the 1981-2021 period the shrinkage rate is 0.78 m thickness/year and 1.5% area/year, meanwhile, during the 2011-2021 period the shrinkage rate is 0.99 m thickness/year and 2.7% area/year.

How to cite: Vidaller, I., Revuelto, J., Izagirre, E., García, J., Rojas-Heredia, F., and López-Moreno, J. I.: Comparison of 3D surfaces from historical aerial images and UAV acquisitions to understand glacier dynamics: The Aneto glacier changes in 40 years, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3163, https://doi.org/10.5194/egusphere-egu22-3163, 2022.

EGU22-3516 | Presentations | GM2.7

Uncertainty of grain sizes from close-range UAV imagery in gravel bars 

David Mair, Ariel Henrique Do Prado, Philippos Garefalakis, Alessandro Lechmann, and Fritz Schlunegger

Data on grain sizes of pebbles in gravel-bed rivers are a well-known proxy for sedimentation and transport conditions, and thus a key quantity for the understanding of a river system. Therefore, methods have been developed to quantify the size of gravels in rivers already decades ago. These methods involve time-intensive fieldwork and bear the risk of introducing sampling biases. More recently, low-cost UAV (unmanned aerial vehicle) platforms have been employed for the collection of referenced images along rivers with the aim to determine the size of grains. To this end, several methods to extract pebble size data from such UAV imagery have been proposed. Yet, despite the availability of information on the precision and accuracy of UAV surveys, a systematic analysis of the uncertainty that is introduced into the resulting grain size distribution is still missing.

Here we present the results of three close-range UAV surveys conducted along Swiss gravel-bed rivers with a consumer-grade UAV. We use these surveys to assess the dependency of grain size measurements and associated uncertainties from photogrammetric models, in turn generated from segmented UAV imagery. In particular, we assess the effect of (i) different image acquisition formats, (ii) specific survey designs, and (iii) the orthoimage format used for grain size estimates. To do so, we use uncertainty quantities from the photogrammetric model and the statistical uncertainty of the collected grain size data, calculated through a combined bootstrapping and Monte Carlo (MC) modelling approach.

First, our preliminary results suggest some influence of the image acquisition format on the photogrammetric model quality. However, different choices for UAV surveys, e.g., the inclusion of oblique camera angles, referencing strategy and survey geometry, and environmental factors, e.g., light conditions or the occurrence of vegetation and water, exert a much larger control on the model quality. Second, MC modelling of full grain size distributions with propagated UAV uncertainties shows that measured size uncertainty is at the first order controlled by counting statistics, the selected orthoimage format, and limitations of the grain size determination itself, i.e., the segmentation in images. Therefore, our results highlight that grain size data are consistent and mostly insensitive to photogrammetric model quality when the data is extracted from single, undistorted orthoimages. This is not the case for grain size data, which are extracted from orthophoto mosaics. Third, upon looking at the results in detail, they reveal that environmental factors and specific survey strategies, which contribute to the decrease of the photogrammetric model quality, also decrease the detection of grains during image segmentation. Thereby, survey conditions that result in a lower quality of the photogrammetric model also lead to a higher uncertainty in grain size data.

Generally, these results indicate that even relative imprecise and not accurate UAV imagery can yield acceptable grain size data for some applications, under the conditions of correct photogrammetric alignment and a suitable image format. Furthermore, the use of a MC modelling strategy can be employed to estimate the grain size uncertainty for any image-based method in which individual grains are measured.

How to cite: Mair, D., Do Prado, A. H., Garefalakis, P., Lechmann, A., and Schlunegger, F.: Uncertainty of grain sizes from close-range UAV imagery in gravel bars, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3516, https://doi.org/10.5194/egusphere-egu22-3516, 2022.

Near-continuous time series of 3D point clouds capture local landscape dynamics at a large range of spatial and temporal scales. These data can be acquired by permanent terrestrial laser scanning (TLS) or time lapse photogrammetry, and are being used to monitor surface changes in a variety of natural scenes, including snow cover dynamics, rockfalls, soil erosion, or sand transport on beaches.

Automatic methods are required to analyze such data with thousands of point cloud epochs (acquired, e.g., hourly over several months), each representing the scene with several million 3D points. Usually, no a-priori knowledge about the timing, duration, magnitude, and spatial extent of all spatially and temporally variable change occurrences is available. Further, changes are difficult to delineate individually if they occur with spatial overlap, as for example coinciding accumulation processes. To enable fully automatic extraction of individual surface changes, we have developed the concept of 4D objects-by-change (4D-OBCs). 4D-OBCs are defined by similar change histories within the area and timespan of single surface changes. This concept makes use of the full temporal information contained in 3D time series to automatically detect the timing and duration of changes. Via spatiotemporal segmentation, individual objects are spatially delineated by considering the entire timespan of a detected change regarding a metric of time series similarity (cf. Anders et al. 2021 [1]), instead of detecting changes between pairs of epochs as with established methods.

For hourly TLS point clouds, the extraction of 4D-OBCs improved the fully automatic detection and spatial delineation of accumulation and erosion forms in beach monitoring. For a use case of snow cover monitoring, our method allowed quantifying individual change volumes more accurately by considering the timespan of changes, which occur with variable durations in the hourly 3D time series, rather than only instantaneously from one epoch to the next. The result of our time series-based method is information-rich compared to results of bitemporal change analysis, as each 4D-OBC contains the full 4D (3D + time) data of the original 3D time series with determined spatial and temporal extent.

The objective of this contribution is to present how interpretable information can be derived from resulting 4D-OBCs. This will provide new layers that are supporting subsequent geoscientific analysis of observed surface dynamics. We apply Kalman filtering (following Winiwarter et al. 2021 [2]) to model the temporal evolution of individually extracted 4D-OBCs. This allows us to extract change rates and accelerations for each point in time, and to subsequently derive further features describing the temporal properties of individual changes. We present first results of this methodological combination and newly obtained information layers which can reveal spatial and temporal patterns of change activity. For example, deriving the timing of highest change rates may be used to examine links to external environmental drivers of observed processes. Our research therefore contributes to extending the information that can be extracted about surface dynamics in natural scenes from near-continuous time series of 3D point clouds.

References:

[1] https://doi.org/10.1016/j.isprsjprs.2021.01.015

[2] https://doi.org/10.5194/esurf-2021-103

How to cite: Anders, K., Winiwarter, L., and Höfle, B.: Automatic Extraction and Characterization of Natural Surface Changes from Near-Continuous 3D Time Series using 4D Objects-By-Change and Kalman Filtering, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4225, https://doi.org/10.5194/egusphere-egu22-4225, 2022.

EGU22-4522 | Presentations | GM2.7

Morphological evolution of volcanic crater through eruptions and instabilities: The case of Ol Doinyo Lengaï since the 2007-08 eruption 

Pierre-Yves Tournigand, Benoît Smets, Kate Laxton, Antoine Dille, Michael Dalton-Smith, Gian Schachenmann, Christelle Wauthier, and Matthieu Kervyn

Ol Doinyo Lengaï (OL) in north Tanzania is the only active volcano in the world emitting natrocarbonatite lavas. This stratovolcano (2962 m a.s.l) is mostly characterized by effusive lava emissions since 1983. However, on the 4th of September 2007, explosive events marked the beginning of a new eruptive style that lasted until April 2008. This new phase involved short-lived explosive eruptions that generated volcanic ash plumes as high as 15 km during its paroxysmal stage. This explosive activity resulted in the formation of a 300 m wide and 130 m deep crater in place of the growing lava platform that had filled the crater since 1983. Since then the effusive activity at OL resumed within the crater and has been partially filling it over the last 14 years. Due to the remote location of the volcano there is a lack of monitoring of its activity and, hence, its eruptive and morphological evolution over the last years is not well constrained (e.g., emission rates, number of vents, unstable areas). This absence of monitoring, preventing the detection of features, such as instabilities of the summit cone, could have hazard implications for the tourists regularly visiting the summit area.

In this study, we quantify the evolution of OL crater area over the last 14 years by reconstructing its topography at regular time interval. We collated several sources of optical images including Unoccupied Aircraft Systems (UAS) images, videos and ground-based pictures that have been collected over the period 2008-2021 by scientists and tourists. Those data have been sorted by year and quality in order to reconstruct the most accurate topographical models using Agisoft Metashape Pro, a software for Structure from Motion (SfM) photogrammetry, and CloudCompare a 3D point cloud processing software. This enables estimating the emitted volume of lava, the emission rate and the remaining crater volume available before crater overflow. It also allows identifying punctual events, such as hornito formation or destruction, and partial crater collapses. Our results indicate that the main lava emission area has repeatedly moved over the years within the crater floor and that OL’s effusion rate has been increasing over the last few years, with more than two times higher lava emission in the period 2019-2021 compared to 2017-2019. Assuming a similar lava effusion rate in the coming years, the crater could again be filled within the next decade leading to new lava overflows. There is thus a need for periodic assessment of the situation at OL. New cost- and time-effective photogrammetry techniques, including UAS and SfM processing, offer a solution to improve the monitoring of such remote volcanoes.

How to cite: Tournigand, P.-Y., Smets, B., Laxton, K., Dille, A., Dalton-Smith, M., Schachenmann, G., Wauthier, C., and Kervyn, M.: Morphological evolution of volcanic crater through eruptions and instabilities: The case of Ol Doinyo Lengaï since the 2007-08 eruption, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4522, https://doi.org/10.5194/egusphere-egu22-4522, 2022.

EGU22-4763 | Presentations | GM2.7

Using high-resolution topography to solve “periglacial puzzles”: A semi-automated approach to monitor solifluction movement 

Marije Harkema, Jana Eichel, Wiebe Nijland, Steven de Jong, Daniel Draebing, and Teja Kattenborn

Solifluction is the slow downslope movement of soil mass due to freeze-thaw processes. It is widespread on hillslopes in Polar and Alpine regions and contributes substantially to sediment transport. As solifluction lobe movement is in the order of millimeters to centimeters per year, it is tricky to measure with a high spatial and temporal resolution and accuracy. We developed a semi-automated approach to monitor movement of three solifluction lobes with different degrees of vegetation cover along an elevational gradient between 2,170 and 2,567 m in Turtmann Valley, Swiss Alps. Subsequently, we compared movement rates and patterns with environmental factors.

  • For solifluction movement monitoring, we applied a combination of the Phantom 4 Pro Plus and Phantom 4 RTK (Real Time Kinematic) drones, image co-alignment and COSI-CORR (Co-registration of Optically Sensed Images and Correlation) to track movement on orthophotos between 2017 and 2021. This drone data acquisition and co-alignment procedure enable a simple, time-saving field setup without Ground Control Points (GCPs).
  • Our high co-registration accuracy enabled us to detect solifluction movement if it exceeds 5 mm with sparse vegetation cover. Dense vegetation cover limited feature tracking but detected movement rates and patterns still matched previous measurements using classical total station measurements at the lowest, mostly vegetated lobe.
  • In contrast to traditional solifluction monitoring approaches using point measurements, our monitoring approach provides spatially continuous movement estimates across the complete extend of the lobe. Lobe movement rates were highest at the highest elevations between 2,560 and 2,567 m (up to 14.0 cm/yr for single years) and lowest at intermediate elevations between 2,417 and 2,427 m (up to 2.9 cm/yr for single years). We found intermediate movement rates at lowest elevations between 2,170 and 2,185 m (up to 4.9 cm/yr for single years). In general, movement had the highest rates at the solifluction lobes center and the lowest rates at the front of solifluction lobes.
  • We linked observed movement patters to environmental factors possibly controlling solifluction movement, such as geomorphic properties, vegetation species and coverage, soil properties determined from electrical resistivity tomography (ERT), and soil temperature data. The least movement at the lobe front is characterized by coarse material and plant species stabilizing the risers or plant species growing here due to the stable risers. Most movement at the lobe center is characterized by fine material and no vegetation or plant species promoting movement. The soil temperature data further suggests that snow cover reduced freezing rates at solifluction lobes and potentially decreased solifluction movement at the lobe between 2,417 and 2,427 m.

This study is the first to demonstrate the use of drone-based images and a semi-automated method to reach high spatiotemporal resolutions to detect subtle movements of solifluction lobes at timescales of years at sub-centimeter resolution. This provides new insights into solifluction movement and into drivers of and factors controlling solifluction movement and lobe development. Therefore, our semi-automated approach may have a great potential to uncover the fundamental processes to understand solifluction movement.

How to cite: Harkema, M., Eichel, J., Nijland, W., de Jong, S., Draebing, D., and Kattenborn, T.: Using high-resolution topography to solve “periglacial puzzles”: A semi-automated approach to monitor solifluction movement, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4763, https://doi.org/10.5194/egusphere-egu22-4763, 2022.

EGU22-6894 | Presentations | GM2.7

Rapid formation of a bedrock canyon following gravel mining in the Marecchia River, Northern Apennines. 

Manel Llena, Tommaso Simonelli, and Francesco Brardinoni

River canyons are characteristic features of transient fluvial systems responding to perturbations in base level and/or sediment supply. Investigating the dynamics of canyon formation and development is challenging due to the typically long time scales and the possible experimental confounding involved. In this context, the lower portion of the Marecchia River, with a history of gravel mining on alluvial deposits resting on highly erodible (i.e., claystones and poorly consolidated sands) bedrock, offers the opportunity to set up a natural experiment and investigate the onset of canyon incision and its subsequent stages of development across five decades (1955-1993). To these ends, we evaluate decadal geomorphic changes of 10-km valley segment of the Marecchia River between Ponte Verucchio and Rimini (Northern Italy) through analysis of Digital Elevation Models derived from the application of Structure from Motion to archival aerial imagery (i.e., 1955, 1969, 1976, 1985, 1993) and from a reference-LiDAR survey (i.e. 2009), in conjunction with analysis of planimetric changes in active channel width and lateral confinement.

During the 1955-2009 period, fluvial incision led to the formation of a 6-km canyon, with average vertical incision of about 15 m (in places exceeding 25 m) and a corresponding annual knickpoint migration rate of about 100 m/yr. In volumetric terms, canyon formation and evolution has involved 6.1 106 m3 (95%) of degradation and 0.29 106 m3 of aggradation (5%), with a corresponding net volume loss of 5.8 106 m3. As a result of canyon development, the active channel has narrowed by about 80%, and channel pattern has drastically changed from braided unconfined to single-thread tightly confined one. These processes were especially important during the 1955-1993 period. Since 1993 to the present, main channel is characterized by a general stability of the active channel width with evidences of a slight recovery through mass wasting processes within it. Local disturbance associated with ongoing canyon development have propagated and are still propagating upstream, posing immediate threat to infrastructures.

How to cite: Llena, M., Simonelli, T., and Brardinoni, F.: Rapid formation of a bedrock canyon following gravel mining in the Marecchia River, Northern Apennines., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6894, https://doi.org/10.5194/egusphere-egu22-6894, 2022.

EGU22-7374 * | Presentations | GM2.7 | Highlight

Expanding glacier time series of Antarctica and Greenland using Soviet Era KFA-1000 satellite images 

Flora Huiban, Mads Dømgaard, Luc Girod, Romain Millan, Amaury Dehecq, Jeremie Mouginot, Anders Schomacker, Eric Rignot, and Anders Bjørk

Long-term records of glaciers are more than ever crucial to understand their response to climate change. High-quality photogrammetric products, Digital Elevation Models (DEMs) and orthophotographs from early satellites are essential, as they offer a unique high-resolution view on the historical glacial dynamics. However, obtaining and producing high-resolution datasets from historical imagery can be a challenge.

In our study, we are extending available satellite images time series using images from Soviet Era KFA-1000 satellite cameras. Each KFA-1000 has a 1000 mm objective, holding 1800 frames in its magazine. Each frame is typically 18x18 cm or 30 × 30 cm, with an 80 km swath width, providing panchromatic images. They supplement the very sparse data period between aerial images and high-resolution modern satellites, giving us high-resolution insight of Antarctica and Greenland dating from 1974 to 1994. Since these images have been largely underused, they have the potential to improve our knowledge of glaciers and open new scientific perspectives. They could help us improve models in studies regarding, for instance the frontal position, the flow-velocity (by doing feature tracking), the surface elevation or the grounding line of the glaciers, etc. With a spatial resolution up to 2 m and images recorded in stereo geometry, they offer a valuable complement to other historical satellite archives such as the declassified American KH imagery. Here, we use structure-from-motion (SfM) to reconstruct former glacier surfaces and flow of main outlet glaciers in both Antarctica and Greenland. We compare and assess the quality of the results by comparing the produced DEMs with recent high-resolution imagery from Worldview’s ArcticDEM. We combine the historical DEMs with recent satellite imagery of the ice elevation and reconstruct the comprehensive history of volume change over southeast and northeast Greenland glaciers since the 90s. Mostly lost from sight for 50 years, we are now resurrecting these highly valuable records and will make them freely available to science and the public.

 

How to cite: Huiban, F., Dømgaard, M., Girod, L., Millan, R., Dehecq, A., Mouginot, J., Schomacker, A., Rignot, E., and Bjørk, A.: Expanding glacier time series of Antarctica and Greenland using Soviet Era KFA-1000 satellite images, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7374, https://doi.org/10.5194/egusphere-egu22-7374, 2022.

EGU22-7686 | Presentations | GM2.7

Comparison of deep learning methods for colorizing historical aerial imagery 

Shimon Tanaka, Hitoshi Miyamoto, Ryusei Ishii, and Patrice Carbonneau

Historical aerial imagery dating back to the mid-twentieth century offers high potential to distinguish anthropogenic impacts from natural causes of environmental change and reanalyze the long-term surface evolution from local to regional scales. However, the older portion of the imagery is often acquired in panchromatic grayscale thus making image classification a very challenging task.  This research aims to compare deep learning image colorisation methods, namely, , the Neural Style Transfer (NST) and the Cycle Generative Adversarial Network (CycleGAN), for colorizing archival images of Japanese river basins for land cover analysis. Historical monochrome images were examined with `4096 x 4096` pixels of three river basins, i.e., the Kurobe, Tenryu, and Chikugo Rivers. In the NST method, we used the transfer learning model with optimal hyperparameters that had already been fine-tuned for the river basin colorization of the archival river images (Ishii et al., 2021). As for the CycleGAN method, we trained the CycleGAN with 8000 image tiles of `256 x256` pixels to obtain the optimal hyperparameters for the river basin colorization. The image tiles used in training consisted of 10 land-use types, including paddy fields, agricultural lands, forests, wastelands, cities and villages, transportation land, rivers, lakes, coastal areas, and so forth. The training result of the CycleGAN reached an optimal model in which the root mean square error (RMSE) of colorization was 18.3 in 8-bit RGB color resolution with optimal hyperparameters of the dropout ratio (0.4), cycle consistency loss (10), and identity mapping loss (0.5). Colorization comparison of the two-deep learning methods gave us the following three findings. (i) CycleGAN requires much less training effort than the NST because the CycleGAN used an unsupervised learning algorithm. CycleGAN used 8000 images without labelling for training while the NST used 60k with labelling in transfer learning. (ii) The colorization quality of the two methods was basically the same in the evaluation stage; RMSEs in CycleGAN were 15.4 for Kurobe, 13.7 for Tenryu and 18.7 for Chikugo, while RMSE in NST were 9.9 for Kurobe, 15.8 for Tenryu, and 14.2 for Chikugo, respectively. (iii) The CycleGAN indicated much higher performance on the colorization of dull surfaces without any textual features, such as the river course in Tenryu River, than the NST. In future research work, colorized imagery by both the NST and CycleGAN will be further used for land cover classification with AI technology to investigate its role in image recognition. [Reference]: Ishii, R. et al.(2021) Colorization of archival aerial imagery using deep learning, EGU General Assembly 2021, EGU21-11925, https://doi.org/10.5194/egusphere-egu21-11925.

How to cite: Tanaka, S., Miyamoto, H., Ishii, R., and Carbonneau, P.: Comparison of deep learning methods for colorizing historical aerial imagery, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7686, https://doi.org/10.5194/egusphere-egu22-7686, 2022.

EGU22-7967 | Presentations | GM2.7

Time-lapse stereo-cameras and photogrammetry for continuous 3D monitoring of an alpine glacier 

Francesco Ioli, Alberto Bianchi, Alberto Cina, Carlo De Michele, and Livio Pinto

Photogrammetry and Structure-from-Motion have become widely assessed tools for geomorphological 3D reconstruction, and especially for monitoring remote and hardly accessible alpine environments. UAV-based photogrammetry enables large mountain areas to be modelled with high accuracy and limited costs. However, they still require a human intervention on-site. The use of fixed time-lapse cameras for retrieving qualitative and quantitative information on glacier flows have recently increased, as they can provide images with high temporal frequency (e.g., daily) for long-time spans, and they require minimum maintenance. However, in many cases, only one camera is employed, preventing the use of photogrammetry to compute georeferenced 3D models. This work presents a low-cost stereoscopic system composed of two time-lapse cameras for continuously and quantitatively monitoring the north-west tongue of the Belvedere Glacier (Italian Alps), by using a photogrammetric approach. Each monitoring station includes a DSLR camera, an Arduino microcontroller for camera triggering, and a Raspberry Pi Zero with a SIM card to send images to a remote server through GSM network. The instrumentation is enclosed in waterproof cases and mounted on tripods, anchored on big and stable rocks along the glacier moraines. The acquisition of a defined number of images and the timing can be arbitrary scheduled, e.g., 2 images per day acquired by each camera, around noon. A set of ground control points is materialized on stable rocks along the moraines and measured with topographic-grade GNSS receivers at the first epoch to orient stereo-pairs of images. From daily stereo-pairs, 3D models are computed with the commercial Structure from Motion software package Agisoft Metashape, and they can be used to detect morphological changes in the glacier tongue, as well as to compute daily glacier velocities. The work is currently focused on improving the orientation of stereo-pairs: the use of computer vision algorithms is under study to automatize the process and increase the robustness of consecutive orientation of stereo-images, e.g., by including images coming from different epochs in the same bundle block adjustment and dividing them afterwards for dense 3D reconstruction. Change detection can be then computed from 3D point clouds by using M3C2 algorithms. Although the stereoscopic system is already installed on the Belvedere Glacier and it is properly taking daily images of the glacier tongue, the processing workflow of stereo-pairs needs to be tuned and automatized to enable high-accurate continuous 3D photogrammetric monitoring of an alpine glacier, computing short-term and infra-seasonal ice volume variations and velocities, as well as detecting icefalls.

How to cite: Ioli, F., Bianchi, A., Cina, A., De Michele, C., and Pinto, L.: Time-lapse stereo-cameras and photogrammetry for continuous 3D monitoring of an alpine glacier, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7967, https://doi.org/10.5194/egusphere-egu22-7967, 2022.

EGU22-8738 | Presentations | GM2.7 | Highlight

Review on the processing and application of historical aerial and satellite spy images in geosciences 

Camillo Ressl, Amaury Dehecq, Thomas Dewez, Melanie Elias, Anette Eltner, Luc Girod, Robert McNabb, and Livia Piermattei

Historical aerial photographs captured since the early 1900s and spy satellite photographs from the 1960s onwards have long been used for military, civil, and research purposes in natural sciences. These historical photographs have the unequalled potential for documenting and quantifying past environmental changes caused by anthropogenic and natural factors.

The increasing availability of historical photographs as digitized/scanned images, together with the advances in digital photogrammetry, have heightened the interest in these data in the scientific community for reconstructing long-term surface evolution from local to regional scale.

However, despite the available volume of historical images, their full potential is not yet widely exploited. Currently, there is a lack of knowledge of the types of information that can be derived, their availability over the globe, and their applications in geoscience. There are no standardized photogrammetric workflows to automatically generate 3D (three-dimensional) products, in the form of point clouds and digital elevation models from stereo images (i.e. images capturing the same scenery from at least two positions), as well as 2D products like orthophotos. Furthermore, influences on the quality and the accuracy of the products are not fully understood as they vary according to the image quality (e.g. photograph damage or scanning properties), the availability of calibration information (e.g. focal length or fiducial marks), and data acquisition (e.g. flying height or image overlap).

We reviewed many articles published in peer reviewed journals from 2010 to 2021 that explore the potential of historical images, covering both photogrammetric reconstruction techniques (methodological papers) and the interpretation of 2D and 3D changes in the past (application papers) in different geoscience disciplines such as geomorphology, cryosphere, volcanology, bio-geosciences, geology and archaeology. We present an overview of these published studies and a summary of available image archives. In addition, we compare the main methods used to process historical aerial and satellite images, highlighting new approaches. Finally, we provide our advice on image processing and accuracy assessment.

How to cite: Ressl, C., Dehecq, A., Dewez, T., Elias, M., Eltner, A., Girod, L., McNabb, R., and Piermattei, L.: Review on the processing and application of historical aerial and satellite spy images in geosciences, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8738, https://doi.org/10.5194/egusphere-egu22-8738, 2022.

EGU22-9799 | Presentations | GM2.7

Coastal erosion dynamics of high-Arctic rock walls: insights from historical to recent orthoimages and DEMs 

Juditha Aga, Livia Piermattei, Luc Girod, and Sebastian Westermann

The thermal regime of permafrost, as well as the retreat of sea ice, influence coastal erosion in Arctic environments. Warming permafrost temperatures might lead to enhanced instabilities, while shorter periods of sea ice expose coastal cliffs to waves and tides for longer periods. Although most studies focus on erosion rates in ice-rich permafrost, coastal cliffs and their permafrost thermal regime are still poorly understood.

In this study, we investigate the long-term evolution of the coastline along Brøgger Peninsula (~30 km2), Svalbard. Based on high-resolution aerial orthophotos and, when available, digital elevation model (DEMs) we automatically derive the coastline from 1936 (Geyman et al., 2021), 1970, 1990, 2011 and 2021. Therefore, we quantified coastal erosion rates along the coastal cliffs over the last 85 years. Due to their high spatial resolution and accuracy, the two DEMs from 1970 and 2021 are used to calculate the erosion volumes within this time. Elevation data and coastline mapping from 2021 is validated with dGPS measurements from August 2021 along three transects of the coastline. In addition, we measured surface temperature of the coastal bedrock from September 2020 to August 2021.

Our preliminary results show erosion rates along the coastal cliffs of Brøgger Peninsula. Uncertainties remain due to mapping issues, which include resolution of aerial images and DEMs, and shadow effects. Overall, historical aerial images combined with recent data provide insight into coastal evolution in an Arctic environment where permafrost temperatures are close to the thaw threshold and might become prone to failure in future.

 

Geyman, E., van Pelt, W., Maloof, A., Aas, H. F., & Kohler, J. (2021). 1936/1938 DEM of Svalbard [Data set]. Norwegian Polar Institute. https://doi.org/10.21334/npolar.2021.f6afca5c

How to cite: Aga, J., Piermattei, L., Girod, L., and Westermann, S.: Coastal erosion dynamics of high-Arctic rock walls: insights from historical to recent orthoimages and DEMs, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9799, https://doi.org/10.5194/egusphere-egu22-9799, 2022.

EGU22-10060 | Presentations | GM2.7

Automated mapping of Soil Surface Components (SSCs) in highly heterogeneous environments with Unoccupied Aerial Systems (UAS) and Deep Learning: working towards an optimised workflow 

Eva Arnau-Rosalén, Ramón Pons-Crespo, Ángel Marqués-Mateu, Jorge López-Carratalá, Antonis Korkofigkas, Konstantinos Karantzalos, Adolfo Calvo-Cases, and Elias Symeonakis

Pattern recognition remains a complex endeavour for ‘structure/function’ approaches to ecosystem functioning. It is particularly challenging in dryland environments where spatial heterogeneity is the inherent functional trait related with overland flow redistribution processes. Within this context, the concept of Soil Surface Components (SSCs) emerged, representing Very-High-Resolution (VHR) hydrogeomorphic response units. SSCs are abstraction entities where spatial patterns of the soil surface and erosional functional processes are linked, according to a large pool of experimental evidence.  

Τhis abstraction complexity, particularly in the abiotic domain, has  so far mandated the use of on-screen visual photointerpretation for the mapping of SSCs, thus limiting the extent of the study cases and their potential for providing answers to the ongoing research discourse. Although significant advances have been achieved with regards to the VHR mapping of vegetation traits with either shallow or deep machine learning algorithms, mapping the full range of SSCs requires bridging the existing gap related with the abiotic domain.

The current confluence of technical advances in: (i) Unoccupied Aerial Systems (UAS), for VHR image acquisition and high geometric accuracy; (2) photogrammetric image processing (e.g. Structure from Motion, SfM), for accurately adding the third dimension, and (3) Deep Learning (DL) architectures that consider the spatial context (i.e. Convolutional Neural Networks, CNN), offers an unprecedented opportunity for achieving the pattern recognition quality required for the automated mapping of SSCs.

We decompose this complex issue with a stepwise approach in an attempt to optimise protocols across all stages of the entire process. For the initial step of image acquisition, we focus on the design of optimal UAS flight parameters, particularly with regards to flight height and image resolution, as this relates to the scale of the analysis: a critical issue for hillslope and catchment scale surveys. At the core of the methodological framework, we then approach the challenge of mapping the patchy mosaic of SSCs as a hierarchical image segmentation problem, decomposed into classification (i.e. discrete) and regression (i.e. continuous fields) tasks, required for dealing with the biotic (e.g. vegetation) and abiotic (e.g. fractional cover of rock fragments) domains, respectively.

Our pilot study area is a hillslope transect near Benidorm, a representative case in semi-arid environment of SE Spain. In this area, the mapping of SSCs was previously undertaken via visual image interpretation. We obtain satisfactory results that allow for the differentiation of plant physiognomies (i.e. annual herbaceous, shrubs, perennial tussock grass and trees). Regarding the abiotic SSCs, in addition to the identification of rock outcrops, we are also able to quantify the fractional cover of rock fragments (RF): an improvement to the visual photointerpretation of only three intervals of RF coverage. A number of challenges remain, such as the position of RF and the transferability of our methodological framework to sites with different lithological and climatological properties.

How to cite: Arnau-Rosalén, E., Pons-Crespo, R., Marqués-Mateu, Á., López-Carratalá, J., Korkofigkas, A., Karantzalos, K., Calvo-Cases, A., and Symeonakis, E.: Automated mapping of Soil Surface Components (SSCs) in highly heterogeneous environments with Unoccupied Aerial Systems (UAS) and Deep Learning: working towards an optimised workflow, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10060, https://doi.org/10.5194/egusphere-egu22-10060, 2022.

EGU22-10190 | Presentations | GM2.7 | Highlight

Historical Structure From Motion (HSfM): An automated historical aerial photography processing pipeline revealing non-linear and heterogeneous glacier change across Western North America 

Friedrich Knuth, David Shean, Chistopher McNeil, Eli Schwat, and Shashank Bhushan

Mountain glaciers are responding in concert to a warming global climate over the past century. However, on interannual to decadal time scales, glaciers show temporally non-linear dynamics and spatially heterogeneous response, as a function of regional climate forcing and local geometry. Deriving long-term geodetic glacier change measurements from historical aerial photography can inform efforts to understand and project future response. 

We present interannual to decadal glacier and geomorphic change measurements at multiple sites across Western North America from the 1950s until present. Glacierized study sites differ in terms of glacial geometry and climatology, from continental mountains (e.g., Glacier National Park) to maritime stratovolcanoes (e.g., Mt. Rainier). Quantitative measurements of glacier and land surface change are obtained from Digital Elevation Models (DEMs) generated using the Historical Structure from Motion (HSfM) package. We use scanned historical images from the USGS North American Glacier Aerial Photography (NAGAP) archive and other aerial photography campaigns from the USGS EROS Aerial Photo Single Frames archive. 

The automated HSfM processing pipeline can derive high-resolution (0.5-2.0 m) DEMs and orthomosaics from scanned historical aerial photographs, without manual ground control point selection. We apply a multi-temporal bundle adjustment process using all images for a given site to refine both extrinsic and intrinsic camera model parameters, prior to generating DEMs for each acquisition date. All historical DEMs are co-registered to modern reference DEMs from airborne lidar, commercial satellite stereo or global elevation basemaps. The co-registration routine uses a multi-stage Iterative Closest Point (ICP) approach to achieve high relative alignment accuracy amongst the historical DEMs, regardless of reference DEM source. 

We examine the impact of regional climate forcing on glacier elevation change and dynamics using downscaled climate reanalysis products. By augmenting the record of quantitative glacier elevation change measurements and examining the relationship between climate forcing and heterogeneous glacier response patterns, we aim to improve our understanding of regional glacier mass change across multiple temporal scales, as well as inform management decisions impacting downstream water resources, ecosystem preservation, and geohazard risks.

How to cite: Knuth, F., Shean, D., McNeil, C., Schwat, E., and Bhushan, S.: Historical Structure From Motion (HSfM): An automated historical aerial photography processing pipeline revealing non-linear and heterogeneous glacier change across Western North America, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10190, https://doi.org/10.5194/egusphere-egu22-10190, 2022.

EGU22-10513 | Presentations | GM2.7

Using UAS-based LiDAR data to quantify oyster reef structural characteristics for temporal monitoring 

Michael C. Espriella, Vincent Lecours, H. Andrew Lassiter, and Benjamin Wilkinson

Given the global decline in oyster reef coverage, conservation and restoration efforts are increasingly needed to maintain the ecosystem services these biogenic features offer. However, monitoring and restoration are constrained by a lack of continuous quantitative metrics to effectively assess reef health. Traditional sampling methods typically provide a limited perspective of reef status, as sampling areas are just a fraction of the total reef area. In this study, an unoccupied aircraft system collected LiDAR data over oyster reefs in Cedar Key, FL, USA to develop digital surface models (DSMs) of their 3D structure. Ground sampling was also conducted in randomly placed quadrats to enumerate the live and dead oysters within each plot. Over 20 topographic complexity metrics were derived from the DSM, allowing relationships between various geomorphometric measures and reef health to be quantified. These data informed generalized additive models that explained up to 80% of the deviation of live to dead oyster ratios in the quadrats. While topographic complexity has been associated with reef health in the past, this process quantifies the relationships and indicates what metrics can be relied on to efficiently monitor intertidal oyster reefs using DSMs. The models can also inform restoration efforts on which surface characteristics are best to replicate when building restored reefs.  

How to cite: Espriella, M. C., Lecours, V., Lassiter, H. A., and Wilkinson, B.: Using UAS-based LiDAR data to quantify oyster reef structural characteristics for temporal monitoring, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10513, https://doi.org/10.5194/egusphere-egu22-10513, 2022.

EGU22-10597 | Presentations | GM2.7

Semantic segmentation of historical images in Antarctica with neural networks 

Felix Dahle, Roderik Lindenbergh, Julian Tanke, and Bert Wouters

The USGS digitized many historical photos of Antarctica which could provide useful insights into this region from before the satellite era. However, these images are merely scanned and do not contain semantic information, which makes it difficult to use or search this archive (for example to filter for cloudless images). Even though there are countless semantic segmentation methods, they are not working properly with these images. The images are only grayscale, have often a poor image quality (low contrast or newton’s rings) and do not have very distinct classes, for example snow/clouds (both white pixels) or rocks/water (both black pixels). Furthermore, especially for this archive, these images are not only top-down but can also be oblique.

We are training a machine-learning based network to apply semantic segmentation on these images even under these challenging conditions. The pixels of each image will be labelled into one of the six different classes: ice, snow, water, rocks, sky and clouds. No training data was available for these images, so that we needed to create it ourselves. The amount of training data is therefore limited due to the extensive amount of time required for labelling. With this training data, a U-Net was trained, which is a fully convolutional network that can work especially with fewer training images and still give precise results.

In its current state, this model is trained with 67 images, split in 80% training and 20% validation images. After around 6000 epochs (approx. 30h of training) the model converges and training is stopped. The model is evaluated on 8 randomly selected images that were not used during training or validation. These images contain all different classes and are challenging to segment due to quality flaws and similar looking classes. The model is able to segment the images with an accuracy of around 75%. Whereas some classes, like snow, sky, rocks and water can be recognized consistently, the classes ice and clouds are often confused with snow. However, the general semantic structure of the images can be recognized.

In order to improve the semantic segmentation, more training imagery is required to increase the variability of each class and prepare the model for more challenging scenes. This new training data will include both labelled images from the TMA archive and from other historical archives in order to increase the variability of classes even more. It should be checked if the quality of the model can be further improved by including metadata of the images as additional data sources.

How to cite: Dahle, F., Lindenbergh, R., Tanke, J., and Wouters, B.: Semantic segmentation of historical images in Antarctica with neural networks, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10597, https://doi.org/10.5194/egusphere-egu22-10597, 2022.

EGU22-10943 | Presentations | GM2.7

High-resolution topography project on the rock walls of the Mont-Blanc massif to reconstruct volume change 

Daniel Uhlmann, Michel Jaboyedoff, Marc-Henri Derron, Ludovic Ravanel, Joelle Vicari, Charlotte Wolff, Li Fei, Tiggi Choanji, and Carlota Gutierrez

Before modern remote sensing techniques, quantifying rock wall retreat due to rockfall events in the high alpine environment was limited to low-frequency post-event measurements for high-magnitude events. LiDAR and SFM now provide precise and accurate 3D models for computing 3D volume changes over time. Otherwise, mid- and low-sized events can remain unobserved due to the remoteness of the rockwalls and the lack of remnant evidence due to the rapid sequestration of ice in surrounding valley and cirque glaciers. To extend rockfall event measurement an initial measurement (t0) is necessary. The Mont-Blanc Massif (MBM, European Alps) High Resolution Topography Project is currently completing high-precision 3D models in the MBM using ground-based and aerial LiDAR, and drone-based structure-from-motion (SFM). In 2021, we began acquisition with initial measurements of 11 major sectors of the massif, representing about 80 km2 of rock and ice slopes, between 1700m - 4810m in elevation. By choosing a study area with robust existent photographic and film archives, such as the MBM, it is possible to extend 3D models back in time for comparison with current datasets. Despite existent high-quality image archives, SFM processing is more challenging and error-prone than from contemporary images due to a lack of metadata, such as camera and lens type, precise dates of images, and the general degradation of the original material.  Despite these limitations, the use of historical-image-based SFM in combination with modern LiDAR data can allow the reconstruction of significant slopes of the MBM over several decades in order to i) obtain estimates of erosion rates, ii) to document rockfall events, and iii) to quantify the extent change and volume loss of hanging glaciers and ice aprons. We thus explore geomorphic processes in the high mountain environment in context of warming climate, as well as the limits of input data (image sets) in terms of practical output resolution.

How to cite: Uhlmann, D., Jaboyedoff, M., Derron, M.-H., Ravanel, L., Vicari, J., Wolff, C., Fei, L., Choanji, T., and Gutierrez, C.: High-resolution topography project on the rock walls of the Mont-Blanc massif to reconstruct volume change, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10943, https://doi.org/10.5194/egusphere-egu22-10943, 2022.

EGU22-11081 | Presentations | GM2.7

Extraction of geomorphological entities from unstructured point clouds – a three-dimensional level-set-based approach 

Reuma Arav, Florian Poeppl, and Norbert Pfeifer

The use of 3D point clouds has become ubiquitous in studying geomorphology. The richness of the acquired data, together with the high availability of 3D sensing technologies, enables a fast and detailed characterisation of the terrain and the entities therein. However, the key for a comprehensive study of landforms relies on detecting geomorphological features in the data. These entities are of complex forms that do not conform to closed parametric shapes. Furthermore, they appear in varying dimensions and orientations, and they are often seamlessly embedded within the topography. The large volume of the data, uneven point distribution and occluded regions present even a greater challenge for autonomous extraction. Therefore, common approaches are still rooted in utilising standard GIS tools on rasterised scans, which are sensitive to noise and interpolation methods. Schemes that investigate morphological phenomena directly from the point cloud use heuristic and localised methods that target specific landforms and cannot be generalised. Lately, machine-learning-based approaches have been introduced for the task. However, these require large training datasets, which are often unavailable in natural environments.

This work introduces a new methodology to extract 3D geomorphological entities from unstructured point clouds. Based on the level-set model, our approach does not require training datasets or labelling, requires little prior information about existing objects, and wants minor adjustments between different types of scenes. By developing the level-set function within the point cloud realm, it requires no triangulated mesh or rasterisation. As a driving force, we utilise visual saliency to focus on pertinent regions. As the estimation is performed pointwise, the proposed model is completely point-based, driven by the geometric characteristics of the surface. The result is three-dimensional entities extracted by their original points, as they were scanned in the field. We demonstrate the flexibility of the proposed model on two fundamentally different datasets. In the first scene, we extract gullies and sinkholes in an alluvial fan and are scanned by an airborne laser scanner. The second features pockets, niches and rocks in a terrestrially scanned cave. We show that the proposed method enables the simultaneous detection of various geomorphological entities, regardless of the acquisition technique. This is facilitated without prior knowledge of the scene and with no specific landform in mind. The proposed study promotes flexibility of form and provides new ways to quantitatively describe the morphological phenomena and characterise their shape, opening new avenues for further investigation.

How to cite: Arav, R., Poeppl, F., and Pfeifer, N.: Extraction of geomorphological entities from unstructured point clouds – a three-dimensional level-set-based approach, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11081, https://doi.org/10.5194/egusphere-egu22-11081, 2022.

EGU22-12200 | Presentations | GM2.7

Terrain Change Detection with ICESat-2: A Case Study of Central Mountain Range in Taiwan 

Pin-Chieh Pan and Kuo-Hsin Tseng

Ice, Cloud, and land Elevation Satellite 2 (ICESat-2), part of NASA's Earth Observing System, is a satellite mission for measuring ice sheet elevation as well as land topography. ICESat-2 is equipped with the Advanced Topographic Laser Altimeter System (ATLAS), a spaceborne lidar that provides topography measurements of land surfaces around the globe. This study intends to utilize ICESat-2 ATL03 elevation data to identify the outdated part in Taiwan’s Digital Elevation Model (DEM). Because the update of DEM takes time and is relatively expensive to renew by airborne LiDAR, a screen of elevation change is crucial for planning the flight route. ICESat-2 has not only a dense point cloud of elevation but also a short revisit time for data collection. That is, ICESat-2 may have a chance to provide a reference for the current condition of terrain formation.

In this study, we aim to verify the 20-meter DEM from the Ministry of the Interior, Taiwan, by ICESat-2 elevation data. The goal is to find out the patches that have experienced significant changes in elevation due primarily to landslides. We select a typical landslide hillside in southern Taiwan as an example, and compare the DEM with ICESat-2 ATL03 photon-based heights before and after the occurrence of landslide events. In our preliminary results, the comparison of DEM and ICESat-2 ATL03 heights has a high degree of conformity inaccuracy (within meter level), indicating ICESat-2’s ability for DEM renewal.

How to cite: Pan, P.-C. and Tseng, K.-H.: Terrain Change Detection with ICESat-2: A Case Study of Central Mountain Range in Taiwan, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12200, https://doi.org/10.5194/egusphere-egu22-12200, 2022.

SSS12 – Soil Policy and Legislation

EGU22-1425 | Presentations | ITS4.2/ERE1.11

Optimal design of nature-based solutions in highway runoff management based on resilience to climate and pollution load changes 

Mehrdad Ghorbani Mooselu, Helge Liltved, Mohammad Reza Alizadeh, and Sondre Meland

Sedimentation ponds (SPs) are nature-based solutions (NBSs) for sustainable stormwater management. SPs control the quantity and quality of runoff and promote biodiversity. Hence, the optimal design of SPs is crucial for ecosystems resilience in urban and natural environments. This study aims to optimize the design of roadside SPs in terms of location and surface area, considering the resilience to stressors such as climate changes and pollution load variations. Accordingly, the highway runoff in a new 22 km highway (E18 Arendal-Tvedestrand) in southern Norway was simulated by the storm water management model (SWMM). The quantity and quality (BOD and TSS values) of highway runoff in all probable scenarios of existing uncertainties were estimated for potential outfall points using the repeated execution model of SWMM coded in MATLAB®. The scenarios were defined based on applying best management practices (BMPs), including grass swale and infiltration trench in different sections of the road that work before SPs, climatic (rainfall quantity estimated by the LARS-WG model), and modeling uncertainties (buildup and washoff coefficients). The generated dataset was then applied to assess the resilience of sedimentation ponds in potential outfalls to climate change and pollution load shocks. The resiliency was quantified for three metrics, including the quantity and quality of receiving runoff to sedimentation ponds and biodiversity in ponds over 25 years (2020-2045). The biodiversity index was defined based on Shannon's Entropy computed from field observation in 12 highway sedimentation ponds across Norway. Using this procedure, it was determined that the proper arrangement of BMPs along the road and the optimal design of ponds enhance the resilience of SPs by 40% over time. This study makes important contributions to stormwater management, the resilient design of NBS, and achieving UN SDG6 (Clean water and sanitation).

How to cite: Ghorbani Mooselu, M., Liltved, H., Alizadeh, M. R., and Meland, S.: Optimal design of nature-based solutions in highway runoff management based on resilience to climate and pollution load changes, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1425, https://doi.org/10.5194/egusphere-egu22-1425, 2022.

EGU22-1677 | Presentations | ITS4.2/ERE1.11

Effects of land use change for solar park development in the UK on ecosystem services 

Fabio Carvalho, Hannah Montag, Stuart Sharp, Piran White, Tom Clarkson, and Alona Armstrong

In the rush to decarbonise energy supplies to meet internationally agreed greenhouse gas emissions targets, solar parks (SPs) have proliferated around the world, with uncertain implications for the provision of ecosystem services (ES). SPs necessitate significant land use change due to low energy densities that could significantly affect the local environment. In the UK, SPs are commonly built on intensive arable land and managed as grasslands. This offers both risks and opportunities for ecosystem health, yet evidence of ecosystem consequences is scarce. Therefore, there is an urgent need to understand how ES assessments can be incorporated into land use decision making to promote SP development that simultaneously addresses the climate and biodiversity crises. We aim to provide some of the first scientific evidence to help answer this question by determining the effects of land use change for SPs in the UK on the provision of ecosystem services (e.g., biomass production, soil carbon storage) of hosting ecosystems. Through a Knowledge Transfer Partnership project between Lancaster University and Clarkson & Woods Ecological Consultants, 35 SPs in England and Wales were surveyed in summer 2021. Soil and vegetation data were collected from 420 sample plots (900 cm2) under different types of land use: underneath solar panels, between rows of solar arrays, and control sites (e.g., pastureland, areas set-aside for conservation). Total plant cover was significantly lower underneath solar panels and between solar arrays than on land set-aside for conservation, while land around the margins of SPs showed higher aboveground biomass of monocotyledons and forbs than on land underneath solar panels. Some measures of soil fertility (e.g., nitrogen) and soil organic matter, fractioned into particulate and mineral-associated organic matter, also varied significantly between these different land uses. These results have implications for land management within SPs and will enable optimisation of SP design and management to ensure the long-term delivery of ecosystem services within this fast-growing land use.

How to cite: Carvalho, F., Montag, H., Sharp, S., White, P., Clarkson, T., and Armstrong, A.: Effects of land use change for solar park development in the UK on ecosystem services, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1677, https://doi.org/10.5194/egusphere-egu22-1677, 2022.

EGU22-2049 | Presentations | ITS4.2/ERE1.11

What locals want: (mapping) citizen preferences and priorities for an alpine river landscape 

Chiara Scaini, Ana Stritih, Constance Brouillet, and Anna Scaini

Sustainable river management frameworks are based on the connection between citizens and nature. So far, though, the relationship between rivers and local populations has played a marginal role in river management. We present a blueprint questionnaire to characterize the perception of cultural ecosystem services and flood risk by locals, and how preferences change across the river landscape. We investigate how locals value the river and whether their preferences are affected by characteristics such as place of residence, age, frequency of visits and relation to the river. The approach is tested on the Tagliamento river, the last major free-flowing river in the Alps, which is characterized by debates on flood protection, flood management and ecological conservation. The questionnaire was filled in by more than 4000 respondents, demonstrating huge interest and willingness to contribute with their opinion on this topic. A participatory map of favorite places shows that most of the river is valued/appreciated by locals, with a high preference for the landscape of the braided middle course. River conservation is the main priority for most respondents across different stakeholder groups, highlighting the need for nature-based solutions in flood-risk management and demonstrating the mismatch between management choices and citizens´ values and priorities. Land-use planning is identified as a factor that can increase flood risk. The results highlight the necessity to tackle conservation, risk management and land-use planning together in order to develop risk-oriented river management strategies. More generally, this work points out that any river intervention should be pondered carefully accounting for its environmental impact also in terms of loss of cultural ecosystem services.

How to cite: Scaini, C., Stritih, A., Brouillet, C., and Scaini, A.: What locals want: (mapping) citizen preferences and priorities for an alpine river landscape, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-2049, https://doi.org/10.5194/egusphere-egu22-2049, 2022.

Check dam plays a crucial role in controlling soil erosion on the Loess Plateau and reducing sediment loads in the Yellow River. Moreover, sediment deposition in check dams also provides valuable information for understanding of soil erosion on the Loess Plateau. Study on the influence of rainfall patterns on sediment yield in small catchments scale is significant for the reasonable arrangement of soil and water conservation measures, particularly for complex environments such as the wind-water erosion crisscross region. This study estimated sediment yield trapped by the check dam in Laoyeman catchment based on deposited flood couplets formed in erosion rainfall events during the period 1978-2010. All erosive rainfall were divided into three rainfall patterns according to the precipitation, rainfall duration and rainfall erosivity, and the correspondence analysis between sediment yield and rainfall pattern was analyzed. Results showed that there were 1.1´105 t sediment deposited in the dam filed during the trapping history of the check dam as a whole. It has three obvious change stages, which had sediment yield of 4.53´104 t during 1978-1988, 4.48´104 t during 1988-1997, and 1.68´104 t during 1997-2010, respectively. The stage 1989-1997 had the fastest annual deposition rate of 4.98×103 t·year-1, 20.9% and 286% faster than stage 1978-1988 and stage 1998-2010. For similar rainfall pattern in these three stages, sediment yield and the characteristic of flood couplet change were closely related to both rainfall erosivity and land use types. This was also approved by the significant decrease of sediment yield on condition of similar rainfall pattern in a decade before and after the implementation of Grain for Green project indicated that this project made a great contribution to the control of soil erosion on the Loess Plateau. The impact of rainfall pattern on sediment yield indicated that the largest sediment yield is initiated under short duration and high intensity rainfall events, while the sediment in the reservoir area is mainly deposited under the rainfall pattern of moderate precipitation, erosivity and duration. That is the reason for the wettest year (1995) had relatively low sediment deposition, while the year (1982) had strong rainfall erosivity had the maximum annual sediment yield (1.68´104 t).

How to cite: Yin, M. and Zhang, J.: Influence of rainfall patterns on sediment yield in flood couplets of a check dam on the Chinese Loess Plateau, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3322, https://doi.org/10.5194/egusphere-egu22-3322, 2022.

EGU22-3770 | Presentations | ITS4.2/ERE1.11

The approach ‘think global, act local’ neglects the particular ecological value of ecosystems 

Guido J.M. Verstraeten and Willem W. Verstraeten

A sustainable society is considered as an organic system, called an ecosystem, wherein all possible connected parameters are contributing to the conservation and evolution of the ecosystem containing life and landscape against stress from outside. Any ecosystem contains species of mutually interacting organisms all contributing to a dynamic equilibrium. An ecosystem is characterized by a population carrying capacity.

Humans are the only species on earth without a specific ecosystem. They live everywhere. The evolution did not adapt the homo sapiens to some ecosystem, on the contrary humans transformed all ecosystems to their own environment. Nature transforms into environment when humans are managing an ecosystem and transform it to their environment by attributing to nature the concept of natural capital as first instrumental step to economic growth, considering pollution as collateral damage.

Inspired by Enlightenment Anthropology (Shallow Ecology and Naess´ Deep Ecology) the UN encourages humanity to transform the consumption of raw matter, energy and food into a more sustainable cleaner way and even to start transition of energy resources and human diet in order to dampen the effects of global warming. Economic policy supports technological procedures avoiding waste of raw material and stimulating sustainable production processes and sustainable recuperation of raw material inside the produced items. The energy transition and preferable industrial production method, however, is globally imposed top-down without examining the consequences for local life of humans, non-humans (e.g. wind turbines near human settlement, bird mortality, destruction of the ecosystems of the seafloor) and the landscape (e.g. solar energy systems on hillside, water dams). Moreover, the global view favors large scale in policy as well as in means of production. However, this global transition organization of the global environment establish the new order characterized by its global and universal action and is not in balance with local ecosystems characterized by diversity of life and human management (so called perverted adaptation). Nature is reduced to things and just rewarded in terms of natural capital to sustain a Global Urban Middleclass consumptive society.

Therefore, we adopt Aldo Leopold ‘Land ethics’ (1949) and apply it to the shear coast of Southwestern Finland. We summarize his ideas in three hot headlines: (i) The land ethic changes the role of Homo sapiens from conqueror of the land-community to plain member and citizen; (ii) We abuse land because we regard it as a commodity belonging to us. When we see land as a community to which we belong to, we may begin to use it with love and respect; (iii) Anything is right when it tends to preserve the integrity, stability, and beauty of the biotic community. It is wrong when it tends otherwise. Participation to the ecosystem based on autonomous technology, i.e. not controlled, is focused on global energy transition to save the Universal Urban Middleclass Life. On the contrary, the concept of Land Ethics makes room for eco-development based on care for humans, culture, environment and nature in interaction with all ecosystems. In a nutshell: act local, interact global.

How to cite: Verstraeten, G. J. M. and Verstraeten, W. W.: The approach ‘think global, act local’ neglects the particular ecological value of ecosystems, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3770, https://doi.org/10.5194/egusphere-egu22-3770, 2022.

EGU22-3784 | Presentations | ITS4.2/ERE1.11

Assessing the interconnections between the characteristics, perception, and valuation of Nature-Based Solutions: A case study from Aarhus, Denmark 

Martina Viti, Roland Löwe, Hjalte J.D. Sørup, Ursula S. Mcknight, and Karsten Arnbjerg-Nielsen

When assessing strategies for implementation of Nature-Based Solutions (NBS) it is fundamental to quantify all benefits for securing better, informed decision making. Particularly relevant is the quantification of their multiple co-benefits for communities and the environment. One of the most widespread techniques to quantify these values is to use contingent valuation (CV) methods, such as the Willingness-To-Pay (WTP) approach. Within the CV method, questionnaires are the main tool used to elicit the value attributed to a specific good by the respondents. However, many studies focus on site-specific economic valuation, whereby transferability to other locations is jeopardized. We therefore created a survey to explore how the valuation of an NBS is shaped by its relationship with the users (e.g. frequency and length of visits), and how these responses are linked to both the respondents and the sites’ characteristics (e.g. socio-economic status, size of the NBS, etc.).

We applied this method to a case study comprised of two distinct areas located in Aarhus, Denmark, asking users to explore their perception of the two NBS sites with different features. Both NBS sites have as overarching goals to (i) prevent flooding from cloudburst or water bodies, (ii) improve the biodiversity in the area, and (iii) benefit the local population, e.g. by providing more recreational areas. Despite these common goals, the two sites differ by a number of characteristics, i.e. size, location, and time passed since construction. One NBS involves a large artificial lake in a peri-urban setting, while the other is a small urban park. Respondents were allowed the option of either expressing a value for only one, or for both of the sites. 

We analyzed both responses that stated a WTP and protest votes, that is, responses that rejected the valuation scenario altogether. We found that older citizens are more likely to protest, as well as those not visiting the sites. For the respondents who accepted to state a WTP, their bids significantly increased when the improvement of nature and biodiversity was mentioned in the valuation scenario. Comparing the value given to the two different sites, the characteristics of the NBS seem to play a role in the respondents’ perception and use of the sites, which in turn enhances valuation. In our case study, people’s perception of the site and their relationship with it appear to have a stronger link with the WTP than their socio-economic characteristics. Specifically, frequency and length of visits, and interest in a good quality of nature were mostly related to a positive WTP.

The inclusion of people-NBS relational variables in benefit quantifications appears to be an essential tool to realize a more realistic economic valuation, as well as correctly design NBS in order to achieve the desired impacts. Understanding the underlying synergies between the multiple co-benefits of NBS, their features and the users’ perception is decisive for maximizing these strategies’ potential and avoiding missing opportunities.

How to cite: Viti, M., Löwe, R., Sørup, H. J. D., Mcknight, U. S., and Arnbjerg-Nielsen, K.: Assessing the interconnections between the characteristics, perception, and valuation of Nature-Based Solutions: A case study from Aarhus, Denmark, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3784, https://doi.org/10.5194/egusphere-egu22-3784, 2022.

EGU22-4971 | Presentations | ITS4.2/ERE1.11

Integrating remote sensing and social media data advances assessment of cultural ecosystem services 

Oleksandr Karasov, Stien Heremans, Mart Külvik, Artem Domnich, Iuliia Burdun, Ain Kull, Aveliina Helm, and Evelyn Uuemaa

Over the past decade, we witnessed a rapid growth in the use of social media data when assessing  cultural ecosystem services (CESs), like modelling the supply-demand relationships. Researchers increasingly use user-generated content (predominantly geotagged pictures and texts from Flickr, Twitter, VK.com) as a spatially explicit proxy of CES demand. However, for modelling CES supply most of such studies relied on simplistic geospatial data, such as land cover and digital elevation models. As a result, our understanding of the favourable environmental conditions underlying good landscape experience remains weak and overly generic.

Our study aims to detect the spatial disparities between population density and CES supply in Estonia in order to prioritise them for further in-depth CES assessment and green and blue infrastructure improvements. We relied on Flickr and VK.com photographs to detect the usage of three CESs: passive landscape watching, active outdoor recreation, and wildlife watching (biota observations at organism and community levels) with automated image content recognition via Clarifai API and subsequent topic modelling. Then, we used Landsat-8 cloudless mosaic, digital elevation and digital surface models, as well as land cover model to derive 526 environmental variables (textural, spectral indices and other indicators of landscape physiognomy) via the Google Earth Engine platform. We conducted an ensemble environmental niche modelling to analyse the relative strength and directions of relationships between these predictors and the observed occurrence of CES demand. Based on multicollinearity and relative importance analysis, we selected 21 relevant and non-collinear indicators of CES supply. With these indicators as inputs, we then trained five models, popular in environmental niche modelling: Boosted Regression Trees, Generalized Linear Model, Multivariate Adaptive Regression Spline, Maxent, and Random Forest. Random Forest performed better than the other models for all three CES types, with the average 10-fold cross-validation area under curve > 0.9 for landscape watching, >0.87 for outdoor recreation, and >0.85 for wildlife watching. Our modelling allowed us to estimate the share of the Estonian population residing in the spatial clusters of systematically high and low environmental suitability for three considered CESs. The share of the population residing in the clusters of low environmental suitability for landscape watching, outdoor recreation, and wildlife watching is 5.5%, 3.1%, and 7.3%, respectively. These results indicate that dozens of thousands of people in Estonia (population is >1.3 million) likely have fewer opportunities for everyday usage of considered CESs. However, these results are biased as there was not enough evidence in social media for CES use in some of these areas.

Although our results should be treated with caution, because social media data are likely to contain a considerable sampling bias, we have demonstrated the added value of remote sensing data for CES supply estimation. Given nearly global and continuously updated satellite imagery archives, remote sensing opens new perspectives for monitoring the loss and gains in landscape suitability for CES across temporal and spatial scales. As such, we can better account for the intangible underlying geospatial features that can influence  economic and environmental decision-making.

How to cite: Karasov, O., Heremans, S., Külvik, M., Domnich, A., Burdun, I., Kull, A., Helm, A., and Uuemaa, E.: Integrating remote sensing and social media data advances assessment of cultural ecosystem services, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4971, https://doi.org/10.5194/egusphere-egu22-4971, 2022.

EGU22-6317 | Presentations | ITS4.2/ERE1.11

Effect of soil management practices on soil carbon dynamics under maize cultivation 

Michael Asante, Jesse Naab, Kwame Agyei Frimpong, Kalifa Traore, Juergen Augustin, and Mathias Hoffmann

An increasing world population and change in consumer preferences necessitate the need to increase food production to meet the demand of a changing world. Intensified agriculture and an accelerated climate crisis with increasing weather extremes threaten the resource base needed to improve crop production. Maize yield obtained by farmers in the guinea savannah zone of Ghana is generally low due to low soil fertility status resulting from continuous cropping coupled with low use of external inputs. Integrated Soil Fertility Management (ISFM) practices have proven to sustainably increase maize yield. However, majority of the farmers practicing ISFM till their land conventionally, potentially resulting in substantial greenhouse gases (GHG) emissions that contribute to global climate change. However, there is dearth of information on GHG emissions regarding crop production systems in sub-Saharan Africa in general and Ghana in particular. Hence, within a field trial we seek to investigate the impact of different tillage practices and ISFM applied to sustain maize yield, on net CO2 or ecosystem exchange (NEE) and net carbon (C) balance (NECB). The field trial was established at the Council for Scientific and Industrial Research-Savanna Agricultural Research Institute in Northern region of Ghana. A split plot design was used with the main plot treatments being conventional tillage and reduced tillage and the subplot treatments being factorial combination of organic and inorganic fertilizers at three levels each. To determine NEE and thereon based estimates of NECB, an innovative, customized, low-cost manual, dynamic closed chamber system was used. The system consists of transparent (V: 0.37 m3, A: 0.196 m2; for NEE measurements) and opaque chambers (for ecosystem respiration (Reco) measurements) of the same size. Diurnal regimes of Reco and NEE fluxes were measured twice a month by repeatedly deploying chambers for 5 to 10min on the 3 repetitive measurement plots (PVC frames inserted 5 cm deep into the soil as collars) per treatment. CO2 concentration increase and decrease over chamber deployment time was detected by portable, inexpensive Arduino based CO2 logging systems, consisting of a battery powered microcontroller (Arduino Uno) and data logging unit (3 sec frequency) connected to an NDIR-CO2 sensor (SCD30; ± 30 ppm accuracy), air temperature and humidity (DHT-22) as well as air pressure sensor (BMP280). Measured CO2 fluxes were subsequently gap-filled to obtain seasonal NEE. C import and export were further on added to NEE to determine the NECB for each treatment. In parallel to CO2 exchange measurement campaigns, agronomic and crop growth indices such as the normalized difference vegetation index (NDVI) were performed biweekly at all plots. Here we present NEE and NECB balances for the first crop growth period.

Keywords: Tillage, Integrated soil fertility management, CO2 emission, Zea mays, net ecosystem carbon balance (NECB)

How to cite: Asante, M., Naab, J., Agyei Frimpong, K., Traore, K., Augustin, J., and Hoffmann, M.: Effect of soil management practices on soil carbon dynamics under maize cultivation, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6317, https://doi.org/10.5194/egusphere-egu22-6317, 2022.

EGU22-7121 | Presentations | ITS4.2/ERE1.11

Application of the International Guidelines on Natural and Nature Based Features for Flood Risk Management and the way forward 

Ralph Schielen, Chris Spray, Chris Haring, Jo Guy, and Lydia Burgess-Gamble

In 2021, the International Guidelines on Natural and Nature Based Features for Flood Risk Management  were published, as a result of a joint project between the Rijkswaterstaat (Netherlands), the Environment Agency (England) and the Army Corps of Engineers (USA). These Guidelines give direction in the application of Nature Based Solutions (NBS) for coastal and fluvial systems. In this contribution we will focus on the fluvial part of the guidelines. We will briefly discuss the process that lead to the origin of the Guidelines and discuss the intended use. It is important to realize that the location within a catchment, and the scale of a catchment determine the specifications of the most optimal NBS. Considering the classical ‘source-pathway-receptor’ approach, in the source of a catchment, NBS aim to hold back the water in the headwaters of larger catchments, enhancing management of water and sediment. In the pathways-receptor (floodplains),  NBS are more focussed on increasing the discharge capacity of the main stem. In smaller catchments, also temporarily storage of water in the floodplains occurs, if flooding of such a temporary nature can be accommodated. Rather than a detailed instruction guide, the Guidelines are intended to give best practices and list important points of attention when applying NBS. Furthermore, they act as inspiration through the many case studies that are listed.

We will also connect the Guidelines to other initiatives on the application of NBS, for example the impact that NBS might have on reaching the United Nations Sustainable Development Goals. This requires a proper assessment framework which has been developed in adjacent projects and which values the added co-benefits that NBS have, compared to grey or grey-green alternatives. These benefits are also addressed in the Guidelines. Finally, we will share some thoughts on upscaling and mainstreaming NBS and the actions that are needed to accomplish that.

How to cite: Schielen, R., Spray, C., Haring, C., Guy, J., and Burgess-Gamble, L.: Application of the International Guidelines on Natural and Nature Based Features for Flood Risk Management and the way forward, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7121, https://doi.org/10.5194/egusphere-egu22-7121, 2022.

PHUSICOS platform aims at gathering nature-based solutions (NBS) relevant to reduce hydro-geological risks in mountain landscapes. The platform can be accessed directly through a web portal. It is based on an Open Source CMS website, including a filter to store documents and a map server to bring ergonomic and powerful access.

To design the platform, an in-depth review of 11 existing platforms has been performed.  Furthermore, a list of metadata has been proposed to structure the information. These metadata have provided the baseline for database. The PHUSICOS platform currently references 176 NBS cases and 83 documents of interest (review articles, assessment papers…). It is continuously enriched through the contribution of NBS community.

For that, a questionnaire based on relevant data, necessary for the definition and identification of the NBS (metadata, to be used for searching the NBSs within the platform) has been defined to enter new entries. A preliminary analysis of the cases has been realized. To characterize and analyse the current 152 solutions, we have worked on the following four categories: The nature of impacted ecosystems, The hazard(s) concerned, The other challenges treated by the NBS, The type of exposed assets.

The platform also proposes a qualitative assessment of the NBSs collected according to 15 criteria related with five ambits: disaster risk reduction, technical and economical feasibility, environment, society, and local economy. The criteria level is sufficiently general to be analysed for the entire PHUSICOS platform NBSs whatever the type of work, the realized approaches, the problematic or the spatial or temporal scale.

The structure of the platform and a first analysis of the qualitative NBS assessment are presented in this work.

How to cite: Bernardie, S., Baills, A., and Garçin, M.: PHUSICOS platform, dedicated to Nature-Based Solutions for Risk Reduction and Environmental Issues in Hilly and Mountainous Lands : presentation and qualitative NBS assessment, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7664, https://doi.org/10.5194/egusphere-egu22-7664, 2022.

An adequate strategy for water quality improvement in developing countries must consider the economic scarcity of water, the external factors that affect its quality, and the participation of multisectoral stakeholders in water management decisions. In addition, stronger links to nature can be established through methods inspired from nature to clean the water, such as artificial floating islands (AFI). Restoration of aquatic ecosystems with AFIs occurs as water passes beneath the floating mat and the roots of macrophytes take up metals and nutrients. In this context, we utilized Fuzzy Cognitive Maps (FCMs) to identify the principal concepts that affect water quality from different perspectives: political, economic, social, technological, environmental, and legal (PESTEL). We also theoretically explore the use of AFIs combined with different policies, to find the strategy that best adapts the local water situation.

By applying the principles of FCMs, different sources of knowledge can predict the effects of policy, and problems can be identified using the centrality index of the underlying graph theory. Thus, a two-step approach was implemented for our analysis: First, from 40 literature-based PESTEL concepts related to water quality deterioration, local experts in water management were invited to identify the most influential concepts and to include additional ones regarding the local water situation and policies to support the improvement of water quality. Second, workshops were organized, inviting members of communities to discuss the degree of cause-effect influence of the identified concepts, and also to include a water management policy, considering AFIs as one solution.

Three Ecuadorian communities distributed to cover representative ecosystems from the Pacific coast, Andean mountains, and Amazon floodplain were selected for this research, i.e. the community of Mogollón dominated by mangroves land cover, Chilla chico by páramos, and Awayaku by rainforest. According to the FCMs, 21 PESTEL concepts affect water quality in the páramos community and most of them are related to politics (23%) and the environment (23%). Community workshop at the same community identify that the major problem is related to natural water pollutants. For the mangrove community, 23 concepts were identified mainly driven (47%) by environmental concepts, whereas the communities see the major water quality issue in view of human exposure to environmental pollutants. In the case of the rainforest community, 19 concepts were recognized with 40% related to economics, whereas the communities identify the principal concern being the violation of environmental legislation. Regarding the potential implementation of AFIs, the páramos community concludes that AFIs should be implemented and coupled with environmental education programs. Additionally, water-related governmental institutions should be involved during realization. The mangrove community shows interest in AFIs, when combined with payment for ecosystem services. Finally, the rainforest community do not consider AFIs as a primary solution. Instead they propose the creation of a committee to denounce violations of water quality laws and to improve the educational level of community members. In conclusion, the FCM is a powerful tool to bring together the knowledge of multisectoral stakeholders and to analyse suitable strategies for the local improvement of water quality.

How to cite: Fonseca, K., Correa, A., and Breuer, L.: Using the fuzzy cognitive map approach to promote nature-based solutions as a strategy to improve water quality in Ecuadorian communities, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8395, https://doi.org/10.5194/egusphere-egu22-8395, 2022.

EGU22-8884 | Presentations | ITS4.2/ERE1.11

Effects of the Nature-Based Solutions on the ecosystem services; an evaluation of the Piave River catchment (Italy) in a 2050 scenario 

Francesco Di Grazia, Luisa Galgani, Bruna Gumiero, Elena Troiani, and Steven A. Loiselle

Sustainable river management should consider potential impacts on ecosystem services in decision-making with respect to mitigating future climate impacts. In this respect, there is a clear need to better understand how nature-based solutions (NBS) can benefit specific ecosystem services, in particular within the complex spatial and temporal dynamics that characterize most river catchments. To capture these changes, ecosystem models require spatially explicit data that are often difficult to obtain for model development and validation. Citizen science allows for the participation of trained citizen volunteers in research or regulatory activities, resulting in increased data collection and increased participation of the general public in resource management.

In the present study, we examined the temporal and spatial drivers in nutrient and sediment delivery, carbon storage and sequestration and water yield in a major Italian river catchment and under different NBS scenarios. Information on climate, land use, soil and river conditions, as well as future climate scenarios, were used to explore future (2050) benefits of NBS on local and catchment scales, followed the national and European directives related to water quality (Directive 2000/60/EC) and habitat (Directive 92/43/EEC). We estimate the benefits of individual and combined NBS approaches related to river restoration and catchment reforestation.

How to cite: Di Grazia, F., Galgani, L., Gumiero, B., Troiani, E., and Loiselle, S. A.: Effects of the Nature-Based Solutions on the ecosystem services; an evaluation of the Piave River catchment (Italy) in a 2050 scenario, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8884, https://doi.org/10.5194/egusphere-egu22-8884, 2022.

EGU22-9397 | Presentations | ITS4.2/ERE1.11

Analysis of survival probability on multiple species using metapopulation model 

Eun sub Kim, Yong won Mo, Ji yeon Kim, and Dong kun Lee

The ecological concept of the meta population helps evaluate the effectiveness of conservation areas (Soule et al., 1988), and is used as a useful tool for evaluating responses between individuals to artificial stressors such as urbanization, habitat destruction, and fragmentation (Kawecki. 2004). In particular meta population model can help increase the accuracy of population estimation across various spatial scales and explain several interactions populations (Walther et al., 2002; Faborg, 2014). Previous studies have demonstrated that habitat destruction and fragmentation caused by urbanization can affect the viability of species in habitats due to reduced fertility and mobility, but papers on the selection of conservation areas can increase the viability of multi species according to the changing surroundings are insufficient. Therefore, this study analyzed the possibility of multi species surviving in the habitat using a meta population model for conservation area scenarios and analyzed the effect of habitat pattern changes on each population from various perspectives.

In order to analyze the survival probability of multi species in habitats by conservation area scenario, (1) setting the 15 virtual habitat spaces within 160ha, (2) Big & Small conservation scenarios considering habitat area, connection, and connection, (3) collecting and estimation of migration rate, home range, dispersal distance for biological species for analyzing the possibility of extinction by population. Finally, the change in the population of each population during period t was analyzed using the meta population model.

Overall, when the Big Conservation area was applied, the probability of extinction of all species was low, followed by the Big+Connectivity scenario. In addition, the probability of survival was similarly derived in the Small scenario and the Connectivity scenario. However, the preferred conservation scenarios for each classification population group were different depending on the conservation scenario. In particular, birds had a high probability of extinction in the small scenario, while small mammals had a low probability of extinction. Through this study, the effect on the change in the number of multi species according to the conservation area scenario was analyzed, which is expected to be used to evaluate the validity and effectiveness of setting up a conservation area in the future.

How to cite: Kim, E. S., Mo, Y. W., Kim, J. Y., and Lee, D. K.: Analysis of survival probability on multiple species using metapopulation model, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9397, https://doi.org/10.5194/egusphere-egu22-9397, 2022.

EGU22-9474 | Presentations | ITS4.2/ERE1.11

Co-evaluating and -designing a Sustainable Agriculture Matrix for Austria in an international context 

Christian Folberth, Franz Sinabell, Thomas Schinko, and Susanne Hanger-Kopp

Agricultural ecosystems provide essential services mainly through food, feed, fiber and consequently income but they also contribute cultural, supporting and regulating services. In turn, farming can adversely affect ecosystem services, especially those from natural ecosystems, if farming practices are unsustainable.

Recently, a Sustainable Agriculture Matrix (SAM; https://doi.org/10.1016/j.oneear.2021.08.015) of indicators across environmental, economic, and social dimensions has been developed by an international research team to coherently quantify the sustainability of countries’ farming systems globally. The focus was on indicators that can be tracked over time and relate to performance to facilitate analyzes of synergies and trade-offs. At present, this indicator system is being co-evaluated with stakeholders in ten countries within an international consortium including Austria, to elicit stakeholders’ appraisal of the framework’s applicability in their specific geographical and socioeconomic context and eventually co-design a revised matrix based on stakeholders’ requirements.

A first workshop has shown that most indicators from the environmental dimension are useful for stakeholders in the Austrian context, but some need further refinements. Biodiversity, for example, is only considered via land cover change whereas threats to (agro-)biodiversity in Austria and the EU foremost occur in-situ. The economic dimension is ranking second in its usefulness for Austrian stakeholders with few indicators such as food loss being of little relevance. The indicators presently included in the social dimension are least relevant as they cover aspects such as land rights, undernourishment, and rural poverty, which do not pose major issues in Austria and more broadly the EU.

General concerns of stakeholders are the directionality of indicator ratings and their scope which is in part considered too narrow. E.g., high government expenditure for agriculture is considered positive in the matrix regardless of its purpose and may cause dependencies. Human nutrition is only included via undernourishment and soil nutrient status solely as surplus, whereas in both cases also the other extreme may be adverse. Accordingly, a bell-shaped indicator and rating would be favored in such cases. A general requirement was expressed for an additional context dimension. Governance arrangements and the overall socioeconomic situation are so far deliberately not included due to the focus on performance in the existing SAM. Yet, indicators describing such framework conditions can be essential to interpret synergies and trade-offs and the effectiveness of policy measures aiming at achieving SDGs. Beyond the evaluation of existing indicators, the stakeholder process yielded comprehensive suggestions for additional indicators, covering biodiversity, research and education, self-sufficiency, as well as various aspects of resilience and stability. Overall, the co-evaluation with stakeholders highlights that only few globally defined indicators are readily applicable in a regional context where consideration of local conditions and specifics is vital.

The proposed revisions are now being matched with available data across geographic scales to revise the matrix and perform further analyses on trade-offs and synergies. This will also include further context information to facilitate the evaluation of policies, ultimately allowing for improved policy-making to attain agricultural sustainability. Results will be further co-evaluated iteratively with stakeholders to eventually produce a globally applicable indicator system.

How to cite: Folberth, C., Sinabell, F., Schinko, T., and Hanger-Kopp, S.: Co-evaluating and -designing a Sustainable Agriculture Matrix for Austria in an international context, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9474, https://doi.org/10.5194/egusphere-egu22-9474, 2022.

EGU22-9476 | Presentations | ITS4.2/ERE1.11

Detection of Habitat Heterogeneity Changes Using Laser Scanning Data Targeting Birds 

Ji Yeon Kim, Dong Kun Lee, and Eun Sub Kim

Research dealing with three-dimensional structural data of forests or vegetation is increasing. LiDAR-based research to detect biodiversity (LaRue et al. 2019) is growing, through using structural data such as analyzing heterogeneity, distribution, and height in forest structures (Matsuo et al. 2021) or identifying rugosity (Gough et al. 2020). For example, the technology to detect canopy structures is linked with the GEDI technology, leading to structural diversity mapping on a wide scale and further to β-diversity. (Schneider et al. 2020) Meanwhile, most connectivity studies so far have been conducted on two-dimensional surfaces, and resistance value-based studies on species data, topography and vegetation structure, and habitat quality have been performed. In this study, we try to detect changes in the space distribution pattern of species due to anthropogenic intervention through lidar-based 3D structural data. Through structural heterogeneity, the connectivity at the landscape level is analyzed, and for this purpose, it can be compared with the traditional diversity evaluation method through a verification process based on species data. By detecting the impact on species in advance in the impact assessment stage, this study intends to present a methodology that can function as a forestry and conservation decision-making support tool in combination with ICT-based monitoring technology.

How to cite: Kim, J. Y., Lee, D. K., and Kim, E. S.: Detection of Habitat Heterogeneity Changes Using Laser Scanning Data Targeting Birds, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9476, https://doi.org/10.5194/egusphere-egu22-9476, 2022.

EGU22-9542 | Presentations | ITS4.2/ERE1.11

Eliciting public preferences for wildfire management policies in Crete, Greece 

Haleema Misal, Ioannis Kountouris, Apostolos Voulgarakis, and Anastasios Rovithakis

Fire regimes form an integral part of terrestrial biomes in the Mediterranean region as they provide essential disturbances which change the structure and function of plants that favour Mediterranean type climates. Fire is inextricably linked to such ecosystems and cannot be excluded from them. However, the intensification of human activities in Greece, coupled with increasingly unpredictable wildfires has created huge imbalances and jeopardised the ecological integrity of ecosystems. Expansions into the wildland urban interface, rural abandonment, and the focus on fire suppression are increasing the vulnerability and flammability of the Greek environment. The duality of fire is delicate, both at local and national level, catastrophic wildfires singe deeply on landscapes and economies, social burns can take just as long to heal. In Greece, this is further exacerbated by the burgeoning socio-economic and political complexities that have catalysed the current ineffective and unsustainable fire management strategies. Damages from wildfires affect ecosystem services which can lead to a reduction in human wellbeing. Understanding the interactions between ecosystems and humans through environmental valuation is key to implementing effective policy. This study uses economic valuation methods in the form of a choice experiment to elicit public preference for a wildfire management policy in Crete. A survey was deployed around the island, with respondents asked about their preferences between different management strategies. The policies outlined in the survey are made up of the following attributes: risk of fire, agricultural production, landscape quality and post-wildfire damage mitigation. Results from this study indicate a positive preference by the public for a new proposed policy. The findings from this study can be used for decision making in Crete and other similar southern European environments by providing metrics for appropriate wildfire management.

How to cite: Misal, H., Kountouris, I., Voulgarakis, A., and Rovithakis, A.: Eliciting public preferences for wildfire management policies in Crete, Greece, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9542, https://doi.org/10.5194/egusphere-egu22-9542, 2022.

The concept of ecosystem services (ES), as a set of components of the natural capital that provide products and services directed to humans, was born around the middle of the last century, reaching a more systematic definition in the early 2000s with the Millennium Ecosystem Assessment (MA, 2005). This issue is implicitly linked to popular research topics, such as climate change,  population well-being, fight against hunger in the world and has undergone a significant increasing interest from scientific research since the SDGs subscription, defined in the 2030 Agenda.

With the thrust of the investigation into this new branch, various tools have been created aimed at dealing with ecosystem services, not only from a qualitative point of view but in quantitative terms. The present work aims to analyze the applicability of a specific SE quantification software for vegetation, based both on the use of meteorological data and on the acquisition of field data and capable of returning outputs relating to the main components: environment (air quality), soil (use and cover) and water (quality and quantity of water runoff, with a focus on vegetation hydrology). The combination of this eco-hydrological model with a monetary ES evaluation is also interesting: although the economic model considered is particularly simple and therefore characterized by a non-negligible standard error, it is important to underline the direct and spontaneous association between SE and monetary quantification considered by the software, unlike how at the end of the last century the economic value of nature was still neglected.

Finally, the main results of a ES quantification project in an Italian urban context will be discussed, underlining  the environmental improvement to the surroundings and the social benefits for the population.

How to cite: Busca, F. and Revelli, R.: Ecosystem services, monetary value and social sphere: a specific-vegetation software suite on a urban-scale project, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11996, https://doi.org/10.5194/egusphere-egu22-11996, 2022.

EGU22-12354 | Presentations | ITS4.2/ERE1.11

Social capital in stressed social-ecological systems: understanding social learning in agricultural communities in China to aid environmental policy and practice 

Ying Zheng, Larissa A. Naylor, Weikai Wang, Alasdair Stanton, David Oliver, Neil Munro, Nai Rui Chng, Susan Waldron, and Tao Peng

Social learning is increasingly used to address environmental challenges including sustainable farming. How sustainable agricultural knowledge is co-produced, shared and used between farmers, scientists and government is important for building capacity and trust for sustainability in stressed socio-ecological communities worldwide. However, such understanding is largely lacking in developing economies. This research presents the findings from analysis of smallholder farmers’ social learning in three agricultural regions in China. Combining an existing social capital framework with questionnaires (Q) and interviews (I) with farmers (Q n=632; I n=30) and officials (Q n=77, I n=64), we demonstrate how farmers access and share farming knowledge through bonding, bridging and linking networks. In two regions, family bonding was the dominant learning pathway while linking networks to access ‘formal knowledge’ from government (or scientists) were limited. However, in the third region, government played a more important role in farmers’ knowledge sharing and acquisition processes. In all regions, learning from researchers was largely absent. Key suggestions about ways to enhance use of multiple forms of knowledge are provided. First, this study highlights the need for a more locally and socially embedded approach to facilitate enhanced farmers’ knowledge exchange and learning, to then build trust and capacity to help better address pressing local environmental challenges. Second, we show how social dynamics research can usefully inform knowledge exchange plans for collaborative, international development science, so that it can be best suited to local contexts, to optimise research impacts, capacity building and avoiding of mismatches. 

How to cite: Zheng, Y., Naylor, L. A., Wang, W., Stanton, A., Oliver, D., Munro, N., Chng, N. R., Waldron, S., and Peng, T.: Social capital in stressed social-ecological systems: understanding social learning in agricultural communities in China to aid environmental policy and practice, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12354, https://doi.org/10.5194/egusphere-egu22-12354, 2022.

To achieve the ambitious but necessary climate targets set by the Paris Agreement, the IPCC model pathways for limiting global warming to 1.5°C compared to pre-industrial levels make apparent the need for safeguarding and enhancing the natural global carbon sink – including via carbon dioxide removal (CDR). A range of ocean-based CDR approaches, also termed “negative emissions technologies” (NETs), has been proposed to make use of the ocean’s potential to take up carbon dioxide from the atmosphere and store it in water, biomass, and sediments. The governance framework in place to regulate CDR in the ocean, at this time, is limited to the direct and articulate regulation of ocean fertilization. Meanwhile, other NETs such as ocean alkalinity enhancement and artificial upwelling emerge, but a comprehensive and foresight-oriented regulation for the testing or even deploying at larger scale is missing. Specifically, there is large uncertainty on unintended (positive and negative) effects of these technologies on the condition of the ocean, in addition to enhanced carbon uptake and storage, and how these may impede on or support other global sustainability goals. The deployment of NETs in the ocean poses additional governance complexities relating to unknowns, uncertainties, and transboundary issues. In a study that is part of the EU H2020-project OceanNETs, we explore to what extent the current global governance framework directly or indirectly regulates emerging ocean-based NETs and reflect on the particularities and requirements for their comprehensive governance. The analysis considers the gaps, challenges, needs, and opportunities for comprehensive governance of ocean-based NETs. 

How to cite: Neumann, B. and Röschel, L.: Global governance of ocean-based negative emission technologies. Exploring gaps, challenges, and opportunities, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-893, https://doi.org/10.5194/egusphere-egu22-893, 2022.

EGU22-1956 | Presentations | ITS4.4/ERE1.10

The implementation of ecological engineering in Tibet has strengthened the local human-policy-resource connection 

Yijia Wang, Yanxu Liu, Xutong Wu, Xinsheng Wang, Ying Yao, and Bojie Fu

Facing the dual threats of climate and socio-economic changes, how the social-ecological systems (SES) in the Tibet Autonomous Region can seize the opportunity of ecological restoration to enhance the quality of the environment while improving the relationship between human and nature is of great significance to promote the regional sustainable development. Thus, regarding human as the key component, we used Ostrom’s SES framework as an analytical fundation to analyze the impact of the implementation of ecological engineering on local human-policy-resource connection. We distributed questionnaires for local residents, distinguished experimental groups (EG, n=325) and control groups (CG,n =165), and used a network approach to construct indicators for assessing effectiveness of ecological engineering, including overall connectivity and evenness. Meanwhile, random forest regression was used to explore the background variables of the dominant connection and accordingly proposed subsequent directions for optimal governance. We found that interviewees in areas where ecological engineering was implemented had more positive perceptions of the importance of ecosystem services, the relationship between ecological conservation and well-being, attitudes toward ecological engineering, and the impact of measures. The overall connectivity and evenness of EG were significantly higher than that of CG. The implementation of ecological engineering enhanced the connection between local people and the environment, but caused some inconvenience to local residents’ livelihoods. Besides, elevation and annual precipitation were the background variables that dominated the overall connectivity. The overall connectivity was lower in alpine steppes with elevation of around 4000 m and semi-arid areas with annual precipitation around 400-500 mm. The implementation of ecological engineering played a positive role in alleviating human-nature relationship in tensions and promoting collective governance of common pool resources, but the governance process still involved risks. Safeguarding and improving the residents’ livelihoods and enhancing the regional weak SES coupling due to geographical constraints are the future directions for optimal governance.

How to cite: Wang, Y., Liu, Y., Wu, X., Wang, X., Yao, Y., and Fu, B.: The implementation of ecological engineering in Tibet has strengthened the local human-policy-resource connection, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1956, https://doi.org/10.5194/egusphere-egu22-1956, 2022.

EGU22-1978 | Presentations | ITS4.4/ERE1.10

Mapping NBS stakeholders’ perspective over Sludge Treatment Reed Bed (STRB) in Iceland 

Amir Gholipour, Elizabeth Duarte, Rita Fragoso, Ana Galvao, and David Christian Finger

Nature-Based Solutions (NBSs) like Sludge Treatment Reed Beds (STRBs) can address resource recovery from sewage sludge in urban and rural areas to boost circular economy and to mitigate climate change. To ensure successful implementation of STRBs, an evaluation of stakeholders’ perceptions can be helpful to identify relevant barriers and opportunities. In this study, semi-structured interviews were conducted with relevant stakeholders, which were categorized in 5 interest groups including academics, state and governments, NGOs, water companies and local communities across Iceland. The interviews were then transcribed and effective elements influencing STRB technology in Iceland were identified through an open-coded method on the transcriptions. The elements were categorized as independent elements (NBS actors, on-going projects, feasibility, legal, economic, sociological, and natural criteria), which were grouped into 7 classifications impacting dependent elements (relevant aspects of STRB, STRB services and system cost). Through Causal Diagrams (CDs), the impact of the independent elements was visualized on the dependent elements. The result of the study is exposed in 8 causal networks and 4 aggregated CDs for sustainability, climate change, biodiversity and circular economy together with mediators interpreting the impacts. The complexity of multi-sequenced causalities of a heterogeneous nature is depicted in CDs implying by stakeholders’ reports and expectations. The study exposes information on the compatible aspects, where further research is required to facilitate the use of STRB for the resource recovery of sewage sludge in Iceland. Therefore, our findings can enable decision makers with intracommunity information to identify elements impacting STRB application, in which the influence of the multiple groups of interests is regarded. 

 

Keywords: Nature-Based Solutions; Sludge Treatment Reed Beds, Resource Recovery, Causal Diagram, climate change, circular economy, sustainability

How to cite: Gholipour, A., Duarte, E., Fragoso, R., Galvao, A., and Christian Finger, D.: Mapping NBS stakeholders’ perspective over Sludge Treatment Reed Bed (STRB) in Iceland, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1978, https://doi.org/10.5194/egusphere-egu22-1978, 2022.

EGU22-4699 | Presentations | ITS4.4/ERE1.10

Assessing global macroalgal carbon dioxide removal potential using a high-resolution ocean biogeochemistry model 

Manon Berger, Laurent Bopp, David T. Ho, and Lester Kwiatkowski

Carbon dioxide removal (CDR) has become part of the portfolio of solutions to mitigate climate change. In combination with emission reductions, CDR may be critical to achieving the goal of limiting global warming to below 2°C, as outlined in the Paris Agreement. Due to its potential high productivity and environmental co-benefits, macroalgae cultivation has recently become a prominent ocean-based CDR strategy. However, estimates of the CDR potential of large-scale deployment are highly limited. Here we simulate idealized global deployment of macroalgae-based CDR using the NEMO-PISCESv2 ocean biogeochemical model at high spatial resolution (0.25° nominal horizontal resolution). Macroalgae growth is confined to the upper 100m of the water column in Exclusive Economic Zones (EEZ) free of sea ice and with an appropriate nitrate/phosphate regime. Although the loss of dissolved inorganic carbon (DIC) through macroalgal growth enhances the flux of atmospheric carbon into the ocean, this increase in carbon uptake is less than the rate of macroalgal production. In the absence of any nutrient limitation on growth, the enhancement in ocean carbon uptake is only 73-77% of the carbon lost from the water column due to macroalgal production. However, when macroalgae nutrient limitation/uptake is additionally accounted for, the increase in ocean carbon uptake accounts for only 41-42% of the potential carbon lost through macroalgae production. These inefficiencies are due to ocean transport replacing part of the DIC lost in the upper water column with DIC from depth, the influence of local nutrient concentrations on the vertical profile of macroalgal production, and feedbacks on the nutrient resources available for phytoplankton net primary production. CDR efficiency is shown to scale near-linearly between scenarios assuming 1% to 10% of the global EEZ area is cultivated for macroalgae. The efficiency of macroalgal CDR shows significant regional variability, with much of the enhancement in ocean carbon uptake (43%-46%) occurring outside EEZs, posing potential difficulties to national scale accounting.

How to cite: Berger, M., Bopp, L., Ho, D. T., and Kwiatkowski, L.: Assessing global macroalgal carbon dioxide removal potential using a high-resolution ocean biogeochemistry model, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-4699, https://doi.org/10.5194/egusphere-egu22-4699, 2022.

EGU22-5175 | Presentations | ITS4.4/ERE1.10 | Highlight

Completing Urban GHG Emissions Data to Assess the Effectiveness of Climate Action Plans in Europe 

Jessica Page, Haozhi Pan, and Zahra Kalantari

Urban areas are major contributors to global greenhouse gas (GHG) emissions. To address climate change, many cities have developed climate action plans (CAPs) as strategic roadmaps to reduce their emissions and strive for emission neutrality and climate resilience by 2050 or before. It has been more than a decade since the first of these plans were put in place, and it is now important to evaluate these plans and to access whether city-level climate ambitions will be realised or perhaps need adjustment to pursue for improvements in climate resilience over time

 This work aims to further our understanding of urban GHG emissions, by completing existing urban carbon emissions data with blue-green contributions to the urban carbon cycle. In a previous study, it was found that the inclusion of blue-green emissions in urban carbon accounting in Stockholm, Sweden had a significant impact on that region’s ability to reach net zero emissions in the coming decades (Page et al., 2021). In this study, we complete the urban emissions data for cities across the European Union (EU) in order to assess if, and for which types of cities, the inclusion of blue-green emissions in the GHG accounting is similarly relevant.

Furthermore, we will use data about the CAPs produced and implemented by these cities together with the completed GHG emissions in order to assess whether the actions and plans made by many European cities have actually had any impact on the emissions from these cities. The inclusion of blue-green emissions and sequestrations in this assessment is particularly important, as many of the strategies included in CAPs impact blue-green areas, such as the implementation of nature-based solutions (NBS).

Conclusions will be drawn about the role of green-blue areas in urban GHG emissions, the role which CAPs have played in reducing emissions in European cities, and how and where these could potentially be adapted to further reduce future GHG emissions in urban areas.

Keywords: Sustainable cities; Greenhouse Gas Emissions; Nature-based Solutions; Climate Action Plans

References:

Page J, Kåresdotter E, Destouni G, et al. (2021) A more complete accounting of greenhouse gas emissions and sequestration in urban landscapes. Anthropocene 34: 100296. DOI: 10.1016/j.ancene.2021.100296.

How to cite: Page, J., Pan, H., and Kalantari, Z.: Completing Urban GHG Emissions Data to Assess the Effectiveness of Climate Action Plans in Europe, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-5175, https://doi.org/10.5194/egusphere-egu22-5175, 2022.

EGU22-6126 | Presentations | ITS4.4/ERE1.10

Investigating potential climatic side-effects of a large-scale deployment of photoelectrochemical devices for carbon dioxide removal 

Moritz Adam, Thomas Kleinen, Matthias M. May, Daniel Lörch, Arya Samanta, and Kira Rehfeld

Without substantial decarbonization of the global economy, rising atmospheric carbon dioxide (CO2) levels are projected to lead to severe impacts on ecosystems and human livelihoods. Integrated assessments of economy and climate therefore favour large-scale CO2 removal to reach ambitious temperature-stabilization targets. However, most of the proposed approaches to artificially remove CO2 from the atmosphere are in conflict with planetary boundaries due to land-use needs and they may come with unintended climatic side-effects. Long-term draw-down of CO2 by photoelectrochemical (PEC) reduction is a recent and promising approach that potentially entails a very low water footprint and could offer a variety of carbon sink products for safe geological storage. For renewable hydrogen fuel production, PEC devices have already been demonstrated to deliver high solar-to-fuel efficiencies. If such devices are adjusted to deliver high solar-to-carbon efficiencies for carbon dioxide removal, they would require comparably little land for achieving annual sequestration rates that are compatible with limiting global warming to 2°C or below. Yet, no production-scale prototype exists and the climatic side-effects of such an "artificial photosynthesis'' approach for negative emissions are unknown. Here, we discuss our work towards investigating potential impacts of PEC CO2 removal on the climate and the carbon cycle in simulations with the comprehensive Earth System Model MPI-ESM. We designed a scheme to represent hypothetical PEC devices as a land surface type which is influencing land-atmosphere energy and moisture fluxes. We parameterize the irradiation-driven carbon sequestration of the devices and interactively couple their deployment area and location to a negative emission target. We plan to compare the potential side-effects between scenarios of dense, localized deployment and spread-out, decentralized application. These scenarios represent different guiding objectives for deploying hypothetical PEC systems such as maximizing the insolation per module area, or mitigating the overall impacts on climate and on carbon stocks. For the different scenarios, we intend to investigate changes in the surface balances, which could impact atmospheric circulations patterns. We further plan to quantify the amount of land-stored carbon that is relocated due to land-use change, as this affects the amount of CO2 that can effectively be withdrawn from the atmosphere. Finally, we relate theoretical expectations for area requirements and CO2 withdrawal with results from the coupled simulations which could inform the technological development. While ambitious emission reductions remain the only appropriate measure for stabilizing anthropogenic warming, our work could advance the understanding of possible benefits and side-effects of hypothetical PEC CO2 removal.

M. M. May & K. Rehfeld, ESD Ideas: Photoelectrochemical carbon removal as negative emission technology. Earth Syst. Dynam. 10, 1–7 (2019).

How to cite: Adam, M., Kleinen, T., May, M. M., Lörch, D., Samanta, A., and Rehfeld, K.: Investigating potential climatic side-effects of a large-scale deployment of photoelectrochemical devices for carbon dioxide removal, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-6126, https://doi.org/10.5194/egusphere-egu22-6126, 2022.

EGU22-7019 | Presentations | ITS4.4/ERE1.10

Forecasting impacts of climate change on plantation carbon sink capability 

Hung-En Li and Su-Ting Cheng

In the face of climate change, the government of Taiwan requires new mitigation policies and implementation strategies. As forest plantations are commonly accepted as great carbon sinks, developing reliable carbon systems linking forestry carbon sequestration into green carbon credits in the economic sector requires synergic integration to examine potential carbon sink capability of forest plantations under the ever-changing climate. In this regard, this study developed a process-based stand growth model based on the structure of the Physiological Principles for Predicting Growth (3-PG) for carbon sequestration estimations of Sugi plantations in the National Taiwan University (NTU) Experimental Forest. The model considered monthly solar radiation, temperature, precipitation, vapor pressure deficit (VPD), and the atmospheric carbon dioxide concentration to simulate dynamic biomass production, and then allocated the simulated biomass to root, stem, and foliage by allometric equations fitted to biomass data from the SugiHinoki Database. After that, the mortality of stand was determined by using a zero-inflated Poisson modelling on long-term growth data collected by the NTU Experimental Forest during 1921-2019. In addition, we performed a scenario analysis to forecast future stand growth under 4 climate scenarios of RCP2.6, RCP4.5, RCP6, and RCP8.5. Results revealed higher annual biomass increment (around 4 t ha-1y-1) in the end of the century in RCP6.0 and RCP8.5, and lower increment (around 2.5 t ha-1y-1) in RCP2.6 and RCP4.5. A step-wise multiple linear regression analysis on the simulated growth data and climatic inputs revealed stronger positive impact of CO2 concentration than precipitation on unit biomass primary production (NPP/Biomass). Temperature had comparable counter impact against precipitation, and solar radiation showed the least negative influence on unit biomass primary production. Based on this process-based stand growth model, we are able to dig into the relation between climatic variables and carbon sequestration rate, and help sketch prospect of plantations in the carbon market for plantation managers, investors, and policy makers.

How to cite: Li, H.-E. and Cheng, S.-T.: Forecasting impacts of climate change on plantation carbon sink capability, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7019, https://doi.org/10.5194/egusphere-egu22-7019, 2022.

EGU22-7324 | Presentations | ITS4.4/ERE1.10

Assessing co-benefits of urban greening coupled with rainwater harvesting management under current and future climates across USA cities 

Ziyan Zhang, Athanasios Paschalis, Ana Mijic, Barnaby Dobson, and Adrian Butler

Globally, urban areas will face multiple water-related challenges in the near future. The main challenges are intensified droughts leading to water scarcity, increased flood risk due to extreme rainfall intensification, increased total water demand due to an increasing urban population, amplified urban heat island intensities due to urban sprawl, and reduction in urban carbon sink due to plant water stress. Urban greening is an excellent option for mitigating flood risk and excess urban heat. Meanwhile, rainwater harvesting (RWH) systems can cope with water supply needs and urban water management. In this study, we investigated how urban greening and RWH can work together to mitigate the aforementioned risks. We evaluate the joined-up management approach under climate projections for 30 cities in the USA spanning a variety of climates, population densities and urban landscapes. By incorporating a new RWH module in the urban ecohydrological model UT&C and flexible operational rules of reusing harvested water for domestic use and urban green space irrigation, we tested 4 intervention approaches: control, RWH installation, urban greening supported by RWH, and urban greening supported by traditional irrigation (i.e., supplying via mains water). Each intervention approach was evaluated using our adapted version of UT&C and forced by the last generation convection-permitting model simulations of current (2001-2011) and end-of-century (RCP8.5) climate from Weather Research and Forecasting (WRF). The volume of RWH is assumed to be 2000L per household for all cities. Results showed that neither urban greening nor RWH could contribute significantly to reducing the expected increase in canyon temperature, because of the strong change in background climate (i.e., increases in average atmospheric temperature). However, RWH alone can sufficiently reduce the intensifying surface flood risk and effectively enhance water conservation, and urban greening can significantly increase the carbon sink of cities especially in dry regions, and if supported by traditional irrigation. Those results vary with the background climate: the benefits of urban greening, either supported by RWH or traditional irrigation, on canyon temperature reduction and carbon sink improvement increased with average air temperature and decreased with wetness index respectively; the benefits of RWH on runoff reduction and water conservation are both positively dependent on local annual precipitation.

How to cite: Zhang, Z., Paschalis, A., Mijic, A., Dobson, B., and Butler, A.: Assessing co-benefits of urban greening coupled with rainwater harvesting management under current and future climates across USA cities, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7324, https://doi.org/10.5194/egusphere-egu22-7324, 2022.

Multiple disaster risks are interconnected and are commonly caused by ecosystem degradation. Ecosystem degradation also drives many of the world's major problems, including biodiversity loss, climate change, and poverty. Ecosystem-based solutions such as ecosystem-based adaptation, biodiversity conservation, and community forestry are increasingly implemented in various contexts. However, little is known about possible interlinkages, synergies, and trade-offs among those ecosystem-based responses and potential barriers to their integration. This study explores spatial and conceptual synergies and trade-offs among ecosystem-based adaptation, biodiversity conservation, and community forestry and the barriers to implementing integrated actions.

The study was located in Ayeyarwady Delta, Myanmar. The research first used a comprehensive socio-ecological risk assessment framework and multi-risk impact chains to understand high-risk areas and identify potential areas for ecosystem-based adaptation. Potential areas for biodiversity conservation and community forestry respectively were then identified using criteria developed based on a literature review. At this point, spatial autocorrelations were tested, and a modified t-test was used to identify spatial relationships among them. Finally, qualitative expert interviews were conducted, and content analysis was used to understand conceptual synergies, trade-offs, and potential barriers for integrated action.

Results show potential for both social and ecological synergies. Ecosystem-based adaptation and biodiversity conservation show synergies with community forestry in the areas of local governance, and the relevance of social factors such as multi-stakeholder awareness, indigenous knowledge, land tenure security, community rule-making and ownership, and biodiversity-friendly livelihoods. Synergies between ecosystem-based adaptation and biodiversity conservation are mostly related to ecological factors such as benefits for biodiversity, ecosystem health, and corridor and buffer functions. Moreover, significant spatial synergies were observed between community forestry and biodiversity conservation areas.

Despite synergies, trade-offs exist and are mainly linked to social inequalities and the use of biodiversity-damaging practices. Spatial trade-offs occur between ecosystem-based adaptation and community forestry due to a lack of land tenure security in high-risk townships. Conceptual trade-offs between ecosystem-based adaptation and community forestry are mainly linked to inequality, lack of access, local power relations, and land tenure insecurity. Trade-offs between biodiversity and the other two are observed due to the use of monocultures, exotic species, and clear-cutting practices. Legal, social, and financial barriers have been identified for the implementation of synergetic actions, while proper facilitation, community rule-making, and biodiversity-friendly livelihoods are key enabling factors in achieving sustainable ecosystem restoration.

This research argues that ecosystem-based adaptation, biodiversity conservation, and community forestry benefit each other, highlighting that fostering those synergies is key for ecosystem restoration and conservation in the face of climate change, biodiversity loss, and poverty. Furthermore, the research stresses the need to consider community governance and biodiversity aspects in ecosystem-based adaptation to address societal challenges.

How to cite: Wuit Yee Kyaw, H. and Sebesvari, Z.: Assessment of synergies and trade-offs among ecosystem-based adaptation, biodiversity conservation and community forestry in Ayeyarwady Delta, Myanmar, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7415, https://doi.org/10.5194/egusphere-egu22-7415, 2022.

EGU22-7797 | Presentations | ITS4.4/ERE1.10

Governance and science implications of low environmental impact outdoors solar radiation management experiments 

Gideon Futerman, Martin Janssens, Iris de Vries, John Dykema, Andy Parker, and Hugh Hunt

There are many uncertainties surrounding solar radiation management (SRM), which cannot all be quantified and reduced using models, laboratory experiments or observations of natural analogs such as volcanic eruptions, ship tracks, or dust storms. While there is broad consensus both in- and outside the scientific community that better understanding of the climate system is beneficial to policy makers and society, the value of improved knowledge of SRM has been highly controversial. Yet, it is evident that SRM research can contribute to quantifying and reducing important uncertainties pertaining to fundamental knowledge on the workings of the Earth system, while also providing essential specific knowledge on positive and negative impacts of SRM to inform future decisions.

In 2016, a group of SRM experts gathered at the Institute for advanced sustainability studies in Potsdam for a workshop to formulate a set of low environmental impact SRM experiment proposals. We present these as a non-exhaustive set of possible experiments with no measurable environmental side effects that could provide valuable information that cannot be obtained from models or lab experiments. Both perturbative and non-perturbative experiments are proposed for different SRM methods including marine cloud brightening, stratospheric aerosol injection and cirrus cloud thinning.

It was found that in the time period between 2016 and now several of the research questions addressed in the experiment proposals have been answered by unrelated experimental environmental science studies, whereas no experimental studies have been carried out in the context of SRM. This finding shows that there is significant overlap in high priority research questions and outcomes of non-SRM and SRM environmental research. In addition, it shows that non-controversial environmental science experiments can provide similar SRM-relevant knowledge as dedicated SRM-experiments. Given that one of the main arguments against SRM research is the potential danger of the acquired knowledge, the finding that obtained knowledge of non-SRM and SRM experiments can be similar raises the question which effect the declared relationship to SRM on outdoors research proposal review and regulation should be.

How to cite: Futerman, G., Janssens, M., de Vries, I., Dykema, J., Parker, A., and Hunt, H.: Governance and science implications of low environmental impact outdoors solar radiation management experiments, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7797, https://doi.org/10.5194/egusphere-egu22-7797, 2022.

EGU22-7868 | Presentations | ITS4.4/ERE1.10 | Highlight

The potential of urban soils for carbon neutral cities 

Esko Karvinen, Leena Järvi, Toni Viskari, Minttu Havu, Olivia Kuuri-Riutta, Pinja Rauhamäki, Jesse Soininen, and Liisa Kulmala

Urban areas are notable sources of atmospheric CO2 and cities are currently setting up climate programs with the aim of carbon neutrality in the near future. For example, two major cities in Southern Finland, Helsinki and Turku, have set their targets for 2035 and 2029, respectively. Carbon neutrality can be achieved by reducing carbon emissions, compensating them, and / or strengthening carbon sinks in urban vegetation and soils, the last of which is often deemed the most cost-efficient option. However, the current understanding of biogenic carbon cycling in urban environments is based on dynamics observed in more well-known ecosystems such as forests and agricultural lands. Urban ecosystems differ from non-urban areas in terms of temperature, precipitation and water cycling, pollution, and the level of human-induced disturbance. Thus, there is a need for observations on urban carbon to accurately model and estimate the carbon sinks and stocks in urban green space.

We aimed to monitor urban biogenic carbon cycle with an extensive field campaign carried out around the SMEAR III ICOS station in 2020–2022, accompanied by a few satellite sites around the capital region of Finland. In this presentation, we will show soil carbon pools and the dynamics of soil respiration at five different types of urban green space: a managed park lawn with and without trees, small urban forest, apple orchard, and street tree site. Soil respiration was measured with both regularly repeated manual chamber measurements and automatic chambers throughout two growing seasons. Soil carbon stock was estimated by soil samplings conducted in 2020 and 2021. We investigate the role of different drivers in soil CO2 emission at the various urban green space types and compare those to corresponding metrics measured in non-urban areas. In addition, we test the applicability of Yasso model to simulate the soil carbon dynamics in urban areas.

How to cite: Karvinen, E., Järvi, L., Viskari, T., Havu, M., Kuuri-Riutta, O., Rauhamäki, P., Soininen, J., and Kulmala, L.: The potential of urban soils for carbon neutral cities, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7868, https://doi.org/10.5194/egusphere-egu22-7868, 2022.

There are many uncertainties surrounding solar radiation management (SRM), not in the least concerning the technological feasibility of hypothetical deployment scenarios. In sulfate stratospheric aerosol injection (SAI) scenarios, the radiative effectiveness of the aerosol is governed by its size distribution. In turn, aerosol size distribution is governed by the aerosol-precursor injection rate and injection plume conditions. Hence, uncertainties in cost and environmental impact of aircraft-based sulfate stratospheric aerosol injection (SAI) are primarily determined by uncertainties in injection plume conditions. In addition, the climate impacts and side effects of SAI as simulated by climate models depend on the prescribed initial conditions concerning aerosol characteristics, which also hinge on injection plume dynamics and microphysics.

Up to now, studies into aircraft-based SAI have used simplified plume models, which estimate plume dynamics with considerable uncertainty, and which do not account for effects of the local plume dynamics on the microphysical processes. Here, we work towards reducing this uncertainty by using full computational fluid dynamics representations of plume dynamics within simulations incorporating state-of-the-art microphysics models for the computation of aerosol size distributions in aircraft engine plumes.

In order to anchor our approach in the current literature, we first consider simplified problems with the objective of validating our methodology using existing results. These experiments confirm the attainability of favourable initial aerosol size distributions under roughly the same conditions as shown with other lower-fidelity models. However, our results retain disagreement with respect to previous studies concerning the exact aerosol growth behaviour, highlighting a sensitivity to model choice which may also explain apparent contradictions in those previous studies. 

We then consider a RANS computational fluid dynamic representation of an engine plume. This differs from the simplified plume representation in several ways, including realistic local variations in temperature, vorticity, and eddy viscosity resulting from the inflow determined using a state-of-the-art engine model. This representation is currently being employed in combination with the previously validated microphysical models to simulate realistic aerosol size evolutions for aircraft-based delivery scenarios.

We anticipate our results to (1) provide a higher-confidence foundation on which to base the discussion concerning technological feasibility of SAI-based SRM and (2) constrain the uncertainty range of inputs for model and impact studies, improving reliability of simulations of (desired and undesired) effects of potential SRM scenarios and thereby informing the scientific and public debate.  

How to cite: Tluk, A., de Vries, I., Janssens, M., and Hulshoff, S.: Towards higher fidelity simulations of aerosol growth in aircraft plumes for feasibility and impact assessment of sulfate stratospheric aerosol injection, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7923, https://doi.org/10.5194/egusphere-egu22-7923, 2022.

 

Abstract

The challenges posed by the growth of urbanization in Egypt and the development of new cities play an essential role in applying the circular economy (CE) in the construction materials sector and the priorities for promoting sustainable construction activities in the future. Therefore, the construction sector has many adverse environmental impacts on energy and natural resources consumption. Starting from materials production, operation until disposal to landfills. Consequently, the industry is considered one of the most consumers of non-renewable resources and producer of CO2 emissions. On the other hand, applying Nature-based solutions (NbS) to enhance sustainability by protecting the ecosystems and maintaining economic benefits plays a vital role, especially for new Egyptian cities. The research aims to investigate the role of applying NbS for achieving CE in construction materials and eliminate its negative impact in the scope of three factors:  green building materials, waste management systems, renewable energy use. The current research attempts to answer how NbS can improve the CE and reduce environmental impacts of the construction materials sector. Therefore, the SOWT analysis investigated the strengths, opportunities, weaknesses, and threats of using the NbS strategies for three different construction sites in Egypt. Furthermore, the survey questionnaire was applied to identify the interactions between the parameters derived from 40 participants such as consultants, architecture engineers, civil engineers, site engineers, project managers and review the previous research efforts. As a result, a conceptual framework was created for the construction materials considering reduce, reuse, recycle, recovery, and disposal, to identify the impact of the implementation of NbS on achieving sustainable development strategies in the Egyptian construction sector. The result showed that the NbS could effectively promote the construction sector and achieve environmental and economic benefits, which consequently help the transition to CE. Therefore, there is the necessity for developing new sustainable policies and cooperation between public and private sectors to support the investments of sustainable strategies in the construction materials market and increase Egyptian society's awareness of the benefits of NbS in economic, environmental, and social aspects.

 Keywords, Nature-based solution, Construction materials, Circular Economy, Egypt 

How to cite: Marey, H., Szabó, G., and Kozma, G.: Using the Nature-Based Solutions for Applying Circular Economy for the Construction Materials Sector in Egypt, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7997, https://doi.org/10.5194/egusphere-egu22-7997, 2022.

EGU22-8269 | Presentations | ITS4.4/ERE1.10

Carbon cycle feedbacks in an idealized and a scenario simulation of carbon dioxide removal in CMIP6 Earth system models 

Ali Asaadi, Jörg Schwinger, Hanna Lee, Jerry Tjiputra, Vivek Arora, Roland Séférian, Spencer Liddicoat, Tomohiro Hajima, Yeray Santana-Falcòn, and Chris Jones

Limiting global warming to 1.5°C by the end of the century currently seems to be an ambitious target which will potentially be accompanied by a period of temperature overshoot. Achieving this climate goal might require massive carbon dioxide removal on large scales. Regardless of the feasibility of such removals, their effects on biogeochemical cycles and climate are not well understood. Changes in atmospheric CO2 concentration ([CO2]) and climate alter the CO2 exchange between the atmosphere and the underlying carbon reservoirs of land and ocean. Carbon-concentration and carbon-climate feedback metrics are useful tools for quantifying such changes in the carbon uptake by land and ocean, currently acting as a sink of carbon. We investigate the changes in carbon feedbacks under overshoot scenarios that could influence mitigation pathways to achieve the temperature goal. An ensemble of Coupled Model Intercomparison Project 6 (CMIP6) Earth system models that conducted an idealized ramp-up and ramp-down experiment (1pctCO2, with increasing and later decreasing [CO2] at a rate of 1% per year) has been used and compared against a scenario simulation involving negative emissions (SSP5-3.4-OS). The analyses are based on results from biogeochemically coupled (where land and ocean respond to rising CO2 levels but the climate is kept constant) and fully coupled simulations. For the positive emission phases, the model-mean global average carbon-climate feedback looks roughly similar between the SSP5-3.4-OS and the 1pctCO2 simulations, with a gradual monotonic decreasing behavior in absolute values which translates to a reduction in land and ocean uptakes. The carbon-concentration feedback in SSP5-3.4-OS is larger than in the 1pctCO2 simulations over the ocean. Both the ocean and land simulate an increase in carbon uptake during the ramp-up, while during the ramp-down, their uptakes show a hysteresis behavior. This feature is more prominent in the idealistic 1pctCO2 experiment with a higher [CO2] growth rate and without land use change effects than in the more realistic SSP5-3.4-OS scenario. Also, the time evolution of the global annual carbon-concentration and carbon-climate feedbacks seem to be very similar over natural land areas. In addition, changes in carbon fluxes are compared over the high latitude permafrost and non-permafrost regions in the Northern Hemisphere. Over land, the carbon-concentration feedback metric is decomposed into different terms to investigate the contributions from changes in live vegetation carbon pools and soil carbon pools. This indicates that the feedback is dominated by the residence time of carbon in vegetation and soil. Furthermore, building on previous studies, feedback metrics are also calculated using an alternative approach of instantaneous flux-based feedback metrics to further compare differences between models. The difference between the two approaches can be seen more obviously in the geographical distribution of the two feedbacks, especially for the negative emission phases of the 1pctCO2 experiment.

How to cite: Asaadi, A., Schwinger, J., Lee, H., Tjiputra, J., Arora, V., Séférian, R., Liddicoat, S., Hajima, T., Santana-Falcòn, Y., and Jones, C.: Carbon cycle feedbacks in an idealized and a scenario simulation of carbon dioxide removal in CMIP6 Earth system models, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8269, https://doi.org/10.5194/egusphere-egu22-8269, 2022.

EGU22-8598 | Presentations | ITS4.4/ERE1.10 | Highlight

A systematic analysis of Horizon 2020 Nature-Based adaptation Solutions projects 

Mario Al Sayah, Pierre-Antoine Versini, and Daniel Schertzer

With the advances of the Nature-Based Solutions (NBS) concept, much attention is being given to its potential for climate change adaptation. Accordingly, Nature-Based adaptation Solutions (NBaS) have become central elements for action on climate. In the EU, the Horizon 2020 (H2020) program translates the ambition of positioning Europe as the world’s leader in NBS. In an effort to draw a comprehensive roadmap of these efforts, this study investigates 21 H2020 projects that utilize NBaS throughout different ecosystems. The main objectives of this study are to provide an inventory of current knowledge, to extract identified risks and knowledge limitations, and to propose future research orientations.

For this purpose, the CORDIS database was used to identify the relevant projects. Using the keyword nature-based solutions and through a rigorous search of research topics and programs, the following projects were retained (based on the existence of deliverables at the time of this study): CLEARING HOUSE, CLEVER Cities, Connecting Nature, DRYvER, EdiCitNet, EuPOLIS, FutureMARES, GrowGreen, NAIAD, Nature4Cities, NATURVATION, OPERADNUM, PHUSICOS, proGIreg, RECONECT, REGREEN, RENATURE, ThinkNature, UNaLab, Urban GreenUP and URBiNAT. Consequently, 137 deliverables were individually examined. Numerous findings were then obtained. These were divided into general and specific results.

In terms of general results, the definition of the NBS concept is still debated: some projects adopt the EC’s definition, others compare between the EC’s and the IUCN’s definition, while many reformulate their own. Second, the continental geographical gradient of pilot sites follows a dense South-West orientation in contrast to a less developed North-Eastern line. In terms of target ecosystems, 61% of the projects target the urban realm, while freshwater ecosystems come second. The coastal, natural and mountainous environments are the least addressed. The focus on urban systems makes most of the generated knowledge, designed solutions and monitoring methods more or less restricted to this realm, hence not necessarily applicable in other settings. Regarding climatic challenges, urban heat islands and floods came first. These are followed by sea level rise, intense precipitation, heat stress, storms, erosion and landslides.

In terms of specific findings, current knowledge and limitations were grouped in-depth per ecosystem (urban, freshwater, marine-coastal, mountainous, forest-natural, and agricultural) and per main research topics (climate change adaptation, risks of oversimplification, system complexity, uncertainty, the scale quandary, progress measuring-monitoring, and disservices). On this basis, several research perspectives were then proposed. Accordingly, interest in NBS-NBaS should extend beyond the urban ecosystem, while deeper knowledge on nature (the physical fundamentals of the N) in NBS-NBaS is needed. It is also important to understand if NBaS are intended to withstand weather change and/or climate change. For the implementation of wide-scale solutions, an extension beyond conservationism is needed, and a better accommodation of uncertainties is required. Therefore, understanding ecosystem tipping points, thresholds, and the resource efficiency of NBaS is primordial. Finally, it is crucial to acknowledge that both ecosystem development and climate change will keep progressing throughout the existence of NBaS. Therefore, the interacting co-evolution of ecosystems, NBaS and climate change should be further studied where their interaction could be forgotten.

How to cite: Al Sayah, M., Versini, P.-A., and Schertzer, D.: A systematic analysis of Horizon 2020 Nature-Based adaptation Solutions projects, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8598, https://doi.org/10.5194/egusphere-egu22-8598, 2022.

EGU22-8613 | Presentations | ITS4.4/ERE1.10 | Highlight

Spatial deployment of Nature-based Solutions to support carbon neutrality for 50 EU cities. 

Haozhi Pan, Jessica Page, Cong Cong, and Zahra Kalantari

Clear implementing plan for Nature-based solutions (NBS) beyond conceptualization is critical for successful in mitigating urban carbon emissions. In this paper, we demonstrate an approach to deploy nature-based solutions on high-resolution (25x25-meter) land use grid and its carbon emission reduction benefits for 50 major European Union (EU) cities. The deployment process takes 3 parts: 1) downgrading carbon emission data with larger spatial scales (10x10km GID data) to high-resolution cells using land use and socioeconomic data; 2) identifying opportunities and suitability of deploying NBS on these land use cells from a database with meta-analysis on the emission reduction potentials of different types of NBS; 3) Estimating total carbon emission potentials from spatial deployment and coupling of of multiple NBS with parametric simulation. Our results indicate that vast areas of urbanized and un-urbanized lands in EU cities can apply NBS to further mitigate carbon emissions. The reduction potential is huge and can contribute to a critical wedge of carbon neutrality.     

How to cite: Pan, H., Page, J., Cong, C., and Kalantari, Z.: Spatial deployment of Nature-based Solutions to support carbon neutrality for 50 EU cities., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8613, https://doi.org/10.5194/egusphere-egu22-8613, 2022.

EGU22-9109 | Presentations | ITS4.4/ERE1.10 | Highlight

Ecosystems for disaster risk reduction: what is the scientific evidence? 

Dr. Karen Sudmeier-Rieux and the Co-authors

Calls are rising for ecosystems, or green infrastructure, to complement engineered infrastructure for more effective disaster risk reduction and climate governance. Key international framework agreements, including the Sendai Framework for Disaster Risk Reduction 2015-2030 and the 2021 Glasgow Pact, noted the importance of ensuring the integrity of all ecosystems in addressing climate change and disaster risk. For example, vegetation can stabilize slopes to reduce mountain hazards and sand dunes, mangroves, and/or seagrasses can reduce the impacts of coastal storms.  However, there are gaps in the scientific evidence on this topic with few comprehensive, peer-reviewed studies to support decision-making on green infrastructure for disaster risk reduction.

This study systematically reviews 529 English-language articles published between 2000 and 2019. The objective was to catalogue the extent of knowledge and confidence in the role of ecosystems in reducing disaster risk. The main question this review addresses is: What is the evidence of the role that ecosystem services and/or functions contribute to disaster risk reduction? We modified the review methodology established by the Intergovernmental Panel on Climate Change to identify the robustness of evidence and level of agreement on the role of ecosystems in attenuating most common types of hazards.

The data demonstrate very robust links on the role of ecosystems in forest fire management, urban flooding and slope stabilization to reduce mountain hazards in a cost-effective manner. The study also highlights how ecosystems provide multiple services and functions in addition to regulating hazards, e.g., provisioning services for reducing vulnerability. The review highlights several research gaps, notably a geographic concentration of studies on urban areas of Europe and North America, and insufficient policy-relevant research on coastal, dryland, and watershed areas, especially in Asia, Africa and Latin America. To conclude, more attention should be paid to filling these research gaps and developing performance standards, which would provide policy-makers with increased confidence in investing in green infrastructure for disaster risk reduction and climate governance.

How to cite: Sudmeier-Rieux, Dr. K. and the Co-authors: Ecosystems for disaster risk reduction: what is the scientific evidence?, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9109, https://doi.org/10.5194/egusphere-egu22-9109, 2022.

EGU22-10433 | Presentations | ITS4.4/ERE1.10 | Highlight

Suitability of soil carbon certificates for climate change mitigation 

Carsten Paul, Axel Don, Bartosz Bartkowski, Martin Wiesmeier, Sebastian Weigl, Steffi Mayer, Markus Steffens, André Wolf, Cenk Dönmez, and Katharina Helming

There is growing awareness of the role that agricultural soils can play for climate change mitigation. Agricultural management that increases soil organic carbon (SOC) stocks constitutes a nature-based solution for carbon dioxide removal. As soils store about twice the amount of carbon found in the atmosphere, even small relative increases could significantly reduce global warming.

However, increasing SOC requires management changes that come with costs to the farmers. In this regard, soil carbon certificates could provide a much-needed financial incentive: Farmers register their fields with commercial providers who certify any SOC increase achieved during a set period of time. The certificates are then sold on the voluntary carbon-offset market. We analysed the suitability of soil carbon certificates for climate change mitigation from the perspectives of soil sciences, agricultural management, and governance. In particular, we addressed questions of quantification, additionality, permanence, changes in emissions, leakage effects, transparency, legitimacy and accountability, as well as synergies and trade-offs with other societal targets.

Soil properties and the mechanisms by which carbon is stored in soils have strong implications for the assessment. Soils have a limited storage capacity, and SOC is not sequestered but its SOC stocks are the dynamic result of plant derived inputs and losses mainly in the form of microbial respiration. The higher the SOC stock, the higher the annual carbon inputs that is needed to maintain it. If carbon friendly management is discontinued, elevated SOC levels will therefore revert to their original level.

We found that while changes in agricultural management that increase SOC are highly desirable and offer multiple-co benefits with climate change adaptation, soil carbon certificates are unsuitable as a tool. They are unlikely to deliver the climate change mitigation they promise as certificate providers cannot guarantee permanence and additionality of SOC storage over climate relevant time-frames. Where the certified carbon storage is non-permanent or fails to meet criteria of additionality, the use of such certificates to advertise products as “carbon-neutral” may be construed as false advertising.

How to cite: Paul, C., Don, A., Bartkowski, B., Wiesmeier, M., Weigl, S., Mayer, S., Steffens, M., Wolf, A., Dönmez, C., and Helming, K.: Suitability of soil carbon certificates for climate change mitigation, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10433, https://doi.org/10.5194/egusphere-egu22-10433, 2022.

Globally, there is clear evidence that unsustainable urbanisation and climate change are pressing challenges for our systems. Nature-based Solutions are starting to be considered as a mechanism to help underpin and tackle societal and global challenges such as biodiversity loss, ecosystem depletion, resource use or human and ecological well-being. Nevertheless, still disciplines are working separately and enabling the co-design of Nature-based Solutions to reach sustainable urban planning in cities is far to be considered for climate adaptation and climate neutrality in cities. Therefore, the study intends to overcome those research gaps mentioned. On the way to tackle those issues, the paper frames the necessity to align science, policy and society goals to reach a sustainable future and bring sectors together to ensure and help build an inclusive, healthy and a resilient world. The methodology is based on a systematic review process where we explore the state of the art on the matter. This paper intends to open the discussion of a holistic, systemic and comprehensive approach to mainstreaming Nature-based Solutions  and  presents a novel pathway for transdisciplinary climate and environmental planning action. A novel conceptualization; socio-ecological and environmental-economic framework for Nature-based Solutions action plan with defined key principles to enable the mainstreaming of nature-based solutions into policies and governance. The study recommends and proposes specific nature-based solutions strategies to underpin the lack of coherence that sometimes shows in some approaches when designing and planning cities, implementing policies for sustainable urban planning and design, facilitating ecosystem restoration and human well-being. To reach an environmentally, socially, economically, locally, ecologically and politically sustainable, circular and resilient Europe by 2030 to help deliver the global policy agendas and the European Green Deal and its strategies.

How to cite: Garcia Mateo, M. C. and Tillie, N.: Enabling the mainstreaming of nature-based solutions into policy-making and governance: Holistic and systemic approach and coherence across policies to build a sustainable, circular and resilient planet and tackle societal challenges, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10493, https://doi.org/10.5194/egusphere-egu22-10493, 2022.

EGU22-10608 | Presentations | ITS4.4/ERE1.10

Earth Climate Optimisation Productivity Island Array (ECOPIATM) 

John Allen, Calum Fitzgerald, and Lonnie Franks

A new nature based solution for capturing the entire man-made emission of carbon dioxide per year and locking it away in the deep ocean, called ECOPIATM, has been devised by a marine think tank, MyOcean Resources Ltd. This is a global solution to the anthropogenic climate change problem, without environmental downsides - it provides the fix. By using the characteristics of the Ocean, ECOPIATM removes the excess atmospheric CO2, de-acidifies the ocean’s waters, creates new sustainable fisheries, and most importantly allows the economies of the world to continue to grow and prosper.

ECOPIATM is able to address the anthropogenic climate change problem whilst having a positive global impact on economic growth. It enables continued economic growth for all nations by balancing the problem of excess atmospheric CO2 rather than following strategies that require a reduction in economic activities. Trying to reduce the amount of excess CO2 emitted by economies can be considered the biggest waste management issue the world has to solve; however current strategies have had trouble getting traction due to their negative impact on economic growth. 

By transillumination of the giant deserts of the Ocean, we can reduce the amount of atmospheric CO2 at the same time as de-acidifying the oceans, by empowering natural oceanic primary productivity simply through the provision of light. This allows ECOPIATM to be an effective CO2 waste management solution for the atmosphere. Rather than having to harm economic growth through difficult to achieve emissions reductions, companies can work with ECOPIATM to genuinely offset their atmospheric CO2 emissions, through photosynthetic CO2 uptake.

These enormous deserts of the sub-tropical open oceans, one seventh (~ 50 million km2) of the whole of the Earth’s ocean area, are reportedly getting bigger; with productive surface waters being replaced by an increase in the minimally productive surface waters of the oligotrophic gyres, at a rate of 0.8 million km2 per year . ECOPIATM in total only requires 0.2 million km2 of those gyres, just one quarter of the current increase in area per year.

Many of the nature based solutions have significant uncertainties that largely come about from the farming-like practise of changing the composition of the ‘soil’ or in this case the ocean waters. ECOPIATM takes a different approach, that of channelling light down to the depths where there are plenty of naturally determined nutrients and seed population, thus we are no longer ‘farming’ we are simply providing light. Furthermore, as there is no strict geo-engineering involved, ECOPIATM provides no mechanism for a preferential pressure on the naturally determined diversity of the light cultured ecosystem.

It has been noted by the UK's, HRH the Prince of Wales, amongst others, that the global anthropogenic climate change issue can only be solved by Industry. ECOPIATM stands out in that it is self-fundable, both in infrastructure and operational costs, via the use of Carbon Credits at today’s prices, allowing Industry to solve the issue in an affordable way.

How to cite: Allen, J., Fitzgerald, C., and Franks, L.: Earth Climate Optimisation Productivity Island Array (ECOPIATM), EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10608, https://doi.org/10.5194/egusphere-egu22-10608, 2022.

EGU22-11878 | Presentations | ITS4.4/ERE1.10

N2O-emission risk assessment tool for nitrogenous fertilizer applications 

Henrik Vestergaard Poulsen, Sander Bruun, Cecilie Skov Nielsen, and Søren Kolind Hvid

Nitrous oxide (N2O) emitted from agricultural soils makes up a significant part of the collective agricultural greenhouse gas (GHG) emissions. These emission are to a large extent caused directly or indirectly by the application of nitrogenous fertilizer and there is a strong demand for mitigation strategies.

 

Nitrous oxide is produced in the soil in a range of different processes but mainly in microbial nitrification and denitrification. A number of factors exert influence on these microbial processes in the soil, most notably the oxygen concentration, availability of ammonium and nitrate, available organic matter and diffusivity, and fairly advanced process-based simulation models are often used in attempts to simulate the amount of N2O emitted. Here we propose using more a simplistic modelling approach to provide a novel risk assessment tool for nitrogenous fertilizer applications to be implemented in Danish farmers field management programmes.

 

At SEGES Innovation we have unique database access to field activity data from Danish farmers - e.g. crop sequence, fertilizer applications, residue handling, soil texture - covering more than 85 % of the Danish cultivated area. Based on these data and field specific climate data, a soil water balance model (Plauborg et al. 1995) and soil organic carbon model (Taghizadeh-Toosi et al. 2014) are running in daily timesteps for all fields in the database. These models provide, respectively, the daily level of WFPS in the soil and the organic matter turnover rate in the soil simulated during the weather forecast period of 10 days. Those two outputs are combined with a simulated soil temperature in a simplified version of the NGAS-model (Parton et al. 1996) to give a rough simulated N2O-emission for any planned fertilizer application throughout the weather forecast period.

 

The risk assessment tool exhibits this daily simulated N2O-emission as a risk evaluation of fertilizer application to the farmer in field management programmes, where future field activities are entered and logged. The objective is to lower the GHG emission by reducing the number of fertilizer applications right at peak N2O-emission conditions, once the farmers are presented with this information.    

How to cite: Vestergaard Poulsen, H., Bruun, S., Skov Nielsen, C., and Kolind Hvid, S.: N2O-emission risk assessment tool for nitrogenous fertilizer applications, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-11878, https://doi.org/10.5194/egusphere-egu22-11878, 2022.

The deployment of carbon dioxide removal (CDR) processes is required, as well as strong and immediate emission reductions, to limit the global temperature increase “well below to 2°C above pre-industrial levels” as required by the Article 2 of the Paris Agreement.

Among the CDR processes, ocean alkalinity enhancement (OAE) allows to remove CO2 from the atmosphere and simultaneously to counteract the ongoing ocean acidification caused by the increased CO2 atmospheric concentration. In the framework of the DESARC (DEcreasing Seawater Acidification Removing Carbon) MARESANUS research project, different strategies to produce decarbonized slaked lime (SL), i.e. Ca(OH)2, and to discharge it in the seawater have been evaluated.

The feasibility and the potential of OAE were evaluated at the global scale and at the Mediterranean Sea basin scale. Two different logistic scenarios for the discharge of SL were analyzed: new dedicated ships, and partial load on modified existing dry bulk and container ships. The data on the existing global fleet of vessels and marine routes has been elaborated to assess the potential discharge of SL.

Through the life-cycle assessment methodology, the efficiency of removing CO2 from the atmosphere was evaluated, as well as other potential environmental impacts connected to SL production and transport. The “cradle-to-grave” approach has been applied to different configurations of the process, that consider both biomass gasification and the use of renewables as a source of energy for limestone calcination, as well as eventual CO2/H2 separation and CO2 storage.

The data collected for the life cycle inventory were mainly obtained from the preliminary design of the process and the scientific literature, as well as from the ecoinvent database. According to the environmental footprint method implemented in SimaPro software, sixteen impact categories for assessing the burdens on the environment and human are evaluated, with a particular focus on Climate change, Land use,  and Mineral and metals use.

The results show that for all the analyzed configurations, the process has a potential negative impact on the Climate change category, i.e. there is a benefit for the environment in terms of CO2 removal from the atmosphere. Since the avoided impacts are related to the source for hydrogen, the type of avoided source has a relevant role and is subjected to a sensitivity analysis.

Finally, the availability of limestone for the large-scale development of ocean alkalinisation have been evaluated, considering in particular the deposits of pure limestone near the coastlines, that  could minimize logistic and transportation activities.

Results show that pure carbonate potential resources are of several trillion tons and are not a constraint for the development of global-scale ocean liming. A large part of pure limestone resources is nearby the coastline, in areas with no or low vegetation cover, mainly in North Africa and Iran. Global limestone yearly production is similar to coal, and the required upscaling compared to the current extraction rate is far lower for limestone than for other materials considered for OAE, such as olivine, magnesite and brucite.

How to cite: Campo, F. P., Caserini, S., and Grosso, M.: Feasibility, potential and environmental impacts of ocean alkalinity enhancement for removing CO2 from the atmosphere and counteracting seawater acidification, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12467, https://doi.org/10.5194/egusphere-egu22-12467, 2022.

EGU22-12839 | Presentations | ITS4.4/ERE1.10 | Highlight

"The Arctic - the first step towards the terraformation of Mars. Experiences from northern Europe." 

Adrianna Rusek and Miłosz Huber

The Arctic is an area with unique climatic qualities on Earth. Located behind the Arctic Circle, the region is characterized by numerous phenomena such as polar day (in summer) and polar night (in winter), which affect the state of well-being of people living there. The numerous aurorae are examples of magnetic storms whose health effects are most pronounced in this region. Extreme temperatures can be recorded in these zones, especially in winter. At the same time, it is there that the environment shows great sensitivity to changing climatic conditions and human activities. A small increase in temperature can melt permafrost and methane clathrates. At this time, climate change affects the ecosystem of the plant and animal world. At the same time, it is in the Arctic that there are important deposits of energy resources, non-ferrous metals and others. In the Arctic regions there are trade routes connecting the continents (the so-called "Northern Road"). Growing interest in the Arctic contributes to its urbanization. This process is also important in a broader context. Many of the technologies that prove themselves in these harsh conditions will also be applicable in other climate zones. The Arctic is becoming a testing ground for human missions in harsh conditions, a way to survive in an unfavorable climate, and to test pro-environmental technologies. An important advantage of the Arctic is also its great similarity to the climatic conditions of the warmest zones on Mars. However, compared to Mars, planning engineering projects in the Arctic has many advantages. The presence of air at normal pressure, while not preventing the construction of airtight capsules, allows for easier evacuation of personnel in the event of a failure of life support systems.  Working people at various stations in the Arctic can be just as tested for the vulnerability of long periods of being in a small confined space. Nevertheless, there are also numerous localities in the Arctic where people lead relatively normal lives, the best example being northern Scandinavia, which is currently the most urbanized area beyond the Arctic Circle.  Their experience of living in the extreme conditions of the north, the problems of urban development and transportation, environmental protection and many other areas of life in this zone, can be an important source of information for other inhabitants of Earth and Mars.  Issues related to the problems of environmental protection and the fight against pollution in this climate zone will be just as relevant in other zones, where there are many more opportunities to use, for example, renewable energy sources. In the long run, building stable urbanized human settlements in the Arctic will become an example of human activity in the region of Mars and (perhaps) other regions of the Solar System. The authors present numerical data and possible scenarios of sustainable urbanization development in the Arctic based on selected examples of Scandinavian experience. They analyze which of them have universal character and are possible to apply also in other climatic conditions. 

How to cite: Rusek, A. and Huber, M.: "The Arctic - the first step towards the terraformation of Mars. Experiences from northern Europe.", EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12839, https://doi.org/10.5194/egusphere-egu22-12839, 2022.

EGU22-13010 | Presentations | ITS4.4/ERE1.10

Scientific evidence of the economic benefits of ecosystem-based disaster risk reduction and ecosystem-based climate change adaptation 

Marta Vicarelli, Michael Kang, Madeline Leue, Aryen Shrestha, David Wasielewski, Karen Sudmeier-Rieux, Jaroslav Mysiak, Simon Schütze, Michael Marr, Shannon McAndrew, and Miranda Vance

Ecosystems and ecosystem services are key to helping achieve reduction in disaster risk, sustainable development, and climate change adaptation, and this is now recognized by major international framework agreements (Convention on Biological Diversity, 2014; United Nations Office for Disaster Risk Reduction, Sendai Framework for Disaster Risk Reduction, 2015-2030). However, there is limited knowledge about the cost efficiency and socio-economic equity outcomes of Nature-based Solutions (NbS) compared to traditional engineered strategies.

In this study we developed a global database of more than 130 peer-reviewed studies, published between 2000 and 2020, that perform economic evaluations of NbS for Ecosystem-based Climate Adaptation (EbA) and Ecosystem-based Disaster Risk Reduction (Eco-DRR). Using meta-analysis techniques, we assess the existing scientific knowledge on the economic viability and performance of NbS for Eco-DRR and EbA, cataloguing outcomes both in terms of degree of economic efficiency and social equity. Our analysis includes multiple dimensions: geographic distribution of the published studies, types of ecosystems and ecosystem services evaluated, hazards and climate impacts analyzed, and economic methodologies used to perform economic efficiency evaluations (e.g., cost benefit analysis, stated/revealed preferences evaluation methods).

This study builds on a recent global assessment (Sudmeier-Rieux et al, 2021) that performs the first systematic review of Eco-DRR peer-reviewed studies across all disciplines. Their results show robustness of evidence and level of agreement on the role of ecosystems in attenuating 30 types of hazards, based on the assessment methodology established by the Intergovernmental Panel on Climate Change (IPCC). Our meta-analysis expands the 2021 review by evaluating the economic benefits associated with Eco-DRR and NbA approaches; by examining cost efficiency of Eco-DRR and NbA interventions compared to traditional engineering solutions; by performing equity assessments of the outcomes; and by studying how the NbS interventions reviewed contributed to the sustainable development goals (SDGs).

REFERENCE:

Sudmeier-Rieux, K., Arce-Mojica,T., Boehmer, H.J., Doswald, N., Emerton, L., Friess, D.A., Galvin, S., Hagenlocher, M., James, H., Laban, P., Lacambra, C., Lange, W., McAdoo, B.G., Moos, C., Mysiak, J., Narvaez, L., Nehren, U., Peduzzi, P1., Renaud, F.G., Sandholz, S., Schreyers, L., Sebesvari, Z., Tom, T., Triyanti, A., van Eijk, P., van Staveren, M., Vicarelli, M., Walz, Y. "Scientific evidence for ecosystem-based disaster risk reduction." Nature Sustainability (2021): 1-8. 

How to cite: Vicarelli, M., Kang, M., Leue, M., Shrestha, A., Wasielewski, D., Sudmeier-Rieux, K., Mysiak, J., Schütze, S., Marr, M., McAndrew, S., and Vance, M.: Scientific evidence of the economic benefits of ecosystem-based disaster risk reduction and ecosystem-based climate change adaptation, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13010, https://doi.org/10.5194/egusphere-egu22-13010, 2022.

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