BG – Biogeosciences
BG1.2 – Nitrogen cycling in terrestrial and aquatic ecosystems: microbiological processes, gas fluxes, modelling,atmospheric impacts and global change feedbacks
EGU2020-1795 | Displays | BG1.2
Differential nitrogen isotope variation of tree-rings in two coniferous forests under climate change, JapanMaximo Larry Lopez Caceres, Satoru Tanabe, Filippo Santini, Jordi Voltas, Felix Seidel, and Toshiro Yamanaka
Tree-ring δ15N provide long-term reliable information of soil available nitrogen, especially under increasing atmospheric N deposition upon forested ecosystems. In this study tree-ring δ15N values of Larix kaempferi and Cryptomeria japonica were measured for five trees each from a heavy snowfall region in north-eastern Japan, respectively. Larch and cedar tree-ring δ15N showed a range of -1.2 to 3.8 ‰ and -1.6 to 1.6 ‰, respectively. Larch trees showed a stable increase in δ15N values, while cedar trees showed a steady decreasing trend for the period 1970-2017. However, the divergence in the two tree series started in the early 1990’s. Both tree stands are exposed to the same atmospheric N deposition, therefore in principle both should have been affected equally. Similarly, an increase or a decrease in the δ15N value of the soil available N cannot be the reason since tree-rings values showed contrasting trends, unless this difference exists in each forest stand, however this seems unlikely. Another possibility could be the canopy uptake of depleted N from the atmosphere in cedar as the N demand increases could be responsible for cedar tree-ring δ15N temporal decrease but it does not explain the increase observed in larch. We speculate that low N demand and the increase in root biomass as tree grows could have decreased 15N discrimination by the EM fungi. The most plausible explanation for the contrasting results is that fractionation by the mycorrhiza fungi (Ecto and Arbuscular, respectively) during N root uptake was lower in larch (3.2 ‰) than in cedar (4.7 ‰) trees, which was related to the lower N demand as tree-ring wood %N was in average 0.06 and 0.10, respectively.
How to cite: Lopez Caceres, M. L., Tanabe, S., Santini, F., Voltas, J., Seidel, F., and Yamanaka, T.: Differential nitrogen isotope variation of tree-rings in two coniferous forests under climate change, Japan, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1795, https://doi.org/10.5194/egusphere-egu2020-1795, 2020.
Tree-ring δ15N provide long-term reliable information of soil available nitrogen, especially under increasing atmospheric N deposition upon forested ecosystems. In this study tree-ring δ15N values of Larix kaempferi and Cryptomeria japonica were measured for five trees each from a heavy snowfall region in north-eastern Japan, respectively. Larch and cedar tree-ring δ15N showed a range of -1.2 to 3.8 ‰ and -1.6 to 1.6 ‰, respectively. Larch trees showed a stable increase in δ15N values, while cedar trees showed a steady decreasing trend for the period 1970-2017. However, the divergence in the two tree series started in the early 1990’s. Both tree stands are exposed to the same atmospheric N deposition, therefore in principle both should have been affected equally. Similarly, an increase or a decrease in the δ15N value of the soil available N cannot be the reason since tree-rings values showed contrasting trends, unless this difference exists in each forest stand, however this seems unlikely. Another possibility could be the canopy uptake of depleted N from the atmosphere in cedar as the N demand increases could be responsible for cedar tree-ring δ15N temporal decrease but it does not explain the increase observed in larch. We speculate that low N demand and the increase in root biomass as tree grows could have decreased 15N discrimination by the EM fungi. The most plausible explanation for the contrasting results is that fractionation by the mycorrhiza fungi (Ecto and Arbuscular, respectively) during N root uptake was lower in larch (3.2 ‰) than in cedar (4.7 ‰) trees, which was related to the lower N demand as tree-ring wood %N was in average 0.06 and 0.10, respectively.
How to cite: Lopez Caceres, M. L., Tanabe, S., Santini, F., Voltas, J., Seidel, F., and Yamanaka, T.: Differential nitrogen isotope variation of tree-rings in two coniferous forests under climate change, Japan, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1795, https://doi.org/10.5194/egusphere-egu2020-1795, 2020.
EGU2020-19227 | Displays | BG1.2
Short-term fate of atmospherically deposited nitrogen in temperate forest under warmingYihang Duan and Yunting Fang
Anthropogenic activities have notably disturbed the natural carbon and nitrogen cycle since the industry revolution. The consequential results include a warmer climate and enhanced nitrogen deposition on forest ecosystems. Covering one-third of the landmass, forests possess vital ecosystem functions such as N retention and the resulting C sequestration. However, the ongoing changes in climate and nitrogen deposition could potentially alter these important processes. Therefore, measures need to be taken to assess the distribution of deposited N in warming forest ecosystems. Here, we use 15N tracer method to investigate the short-term (2 weeks, 1 month and 3 months) fate of deposited N in a temperate forest, and by taking advantage of the in situ infrared heating, we also attempt to explore the effect of warming ( 2 °C ) on deposited N in forest ecosystems. The results showed that deposited N was largely retained by litter in all treatments (38%-57%) and mineral soil layers contained the least nitrogen. Total 15N recovery of different ecosystem compartments between warmed and control treatments showed distinct pattern, recovery in warming treatment increased from 72% to 97% after 1 month while the respect recovery of control treatment gradually decreased with time. In the top mineral soil layer (0-10cm), control treatments had higher recovery than warming treatment, suggesting warming may hinder deposited N from forging downwards, however, higher δ15N value in top mineral soil layer suggesting enhanced microbial activities maybe in action. Little leaching loss of deposited N both in warm and control was observed. Difference in deposited N fate between warming and control could deepen our understanding of how global warming influence forest ecosystem processes, particularly the N cycle.
Key words: Soil warming; 15N tracer; N deposition; N retention and redistribution; Global warming; Temperate forest
How to cite: Duan, Y. and Fang, Y.: Short-term fate of atmospherically deposited nitrogen in temperate forest under warming, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19227, https://doi.org/10.5194/egusphere-egu2020-19227, 2020.
Anthropogenic activities have notably disturbed the natural carbon and nitrogen cycle since the industry revolution. The consequential results include a warmer climate and enhanced nitrogen deposition on forest ecosystems. Covering one-third of the landmass, forests possess vital ecosystem functions such as N retention and the resulting C sequestration. However, the ongoing changes in climate and nitrogen deposition could potentially alter these important processes. Therefore, measures need to be taken to assess the distribution of deposited N in warming forest ecosystems. Here, we use 15N tracer method to investigate the short-term (2 weeks, 1 month and 3 months) fate of deposited N in a temperate forest, and by taking advantage of the in situ infrared heating, we also attempt to explore the effect of warming ( 2 °C ) on deposited N in forest ecosystems. The results showed that deposited N was largely retained by litter in all treatments (38%-57%) and mineral soil layers contained the least nitrogen. Total 15N recovery of different ecosystem compartments between warmed and control treatments showed distinct pattern, recovery in warming treatment increased from 72% to 97% after 1 month while the respect recovery of control treatment gradually decreased with time. In the top mineral soil layer (0-10cm), control treatments had higher recovery than warming treatment, suggesting warming may hinder deposited N from forging downwards, however, higher δ15N value in top mineral soil layer suggesting enhanced microbial activities maybe in action. Little leaching loss of deposited N both in warm and control was observed. Difference in deposited N fate between warming and control could deepen our understanding of how global warming influence forest ecosystem processes, particularly the N cycle.
Key words: Soil warming; 15N tracer; N deposition; N retention and redistribution; Global warming; Temperate forest
How to cite: Duan, Y. and Fang, Y.: Short-term fate of atmospherically deposited nitrogen in temperate forest under warming, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19227, https://doi.org/10.5194/egusphere-egu2020-19227, 2020.
EGU2020-7760 | Displays | BG1.2 | Highlight
Three-year dynamics of N2O fluxes from soil, stem and canopy in a hemiboreal forest: Impacts of floods and droughtsÜlo Mander, Thomas Schindler, Kateřina Macháčová, Alisa Krasnova, Jordi Escuer-Gatius, Martin Maddison, Jaan Pärn, Gert Veber, Dmitrii Krasnov, and Kaido Soosaar
Forests are important regulators of carbon dioxide fluxes, whereas overall greenhouse gas (GHG) budgets, in particular, nitrous oxide (N2O), are still largely unknown. No studies on ecosystem-level N2O budgets (soil and tree stem fluxes with eddy covariance (EC) measurements above the canopy) are found. Only a few examples are available on N2O emissions from tree stems. Nevertheless, estimation of the N2O and the full GHG balance in different forest ecosystems under various environmental conditions is essential to understand their impact on climate.
During the period of August 2017 to December 2019, we measured the N2O budget of a 40-yr old hemiboreal grey alder (Alnus incana) forest stand on former agricultural land in Estonia considering fluxes from the soil, tree stems and whole ecosystem. Grey alder (Alnus incana) is a fast-growing tree species typically found in riparian zones, with great potential for short-rotation forestry. Their symbiotic dinitrogen (N2) fixation ability makes alders important for the regulation of nitrogen (N) cycle in forested areas.
We measured the N2O budget considering fluxes from the soil surface (12 automated chambers; Picarro 2508), tree stems (60 manual sampling campaigns from 12 model trees with chambers at 0.1, 0.8 and 1.7 m; gas chromatographic analysis in lab) and whole ecosystem (EC technique: Aerodyne TILDAS). Simultaneously, soil water level, temperature and moisture were measured automatically, and composite soil samples were taken for physico-chemical analysis. Potential N2 flux in intact soil cores was measured in the lab using the He-O incubation method.
Average N2O fluxes from the soil and tree stems varied from 1.2 to 3.0 and 0.01 to 0.03 kg N2O-N ha–1 yr–1, respectively, being the highest during the wet periods, peaking during the freezing-thawing, and being the lowest in dry periods. The average annual potential N2 flux in the soil was 140 kg N2 ha–1 yr–1 which made the average N2:N2O-N ratio in the soil about 60. According to the EC measurements, the forest was a net annual source of N2O (3.4 kg N2O ha–1). Thus, the main gaseous nitrogen flux in this forest was N2 emission. Our carbon (C) budget showed that the forest was a significant net annual C sink.
Results of our long-term study underline the high N and C buffering capacity of riparian alder forests. For better understanding of C and nutrient budgets of riparian forests, we need long-term, high-frequency measurements of N2O fluxes from the soil and tree stems in combination with ecosystem-level EC measurements. The identification of microorganisms and biogeochemical pathways associated with N2O production and consumption is another future challenge.
How to cite: Mander, Ü., Schindler, T., Macháčová, K., Krasnova, A., Escuer-Gatius, J., Maddison, M., Pärn, J., Veber, G., Krasnov, D., and Soosaar, K.: Three-year dynamics of N2O fluxes from soil, stem and canopy in a hemiboreal forest: Impacts of floods and droughts, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7760, https://doi.org/10.5194/egusphere-egu2020-7760, 2020.
Forests are important regulators of carbon dioxide fluxes, whereas overall greenhouse gas (GHG) budgets, in particular, nitrous oxide (N2O), are still largely unknown. No studies on ecosystem-level N2O budgets (soil and tree stem fluxes with eddy covariance (EC) measurements above the canopy) are found. Only a few examples are available on N2O emissions from tree stems. Nevertheless, estimation of the N2O and the full GHG balance in different forest ecosystems under various environmental conditions is essential to understand their impact on climate.
During the period of August 2017 to December 2019, we measured the N2O budget of a 40-yr old hemiboreal grey alder (Alnus incana) forest stand on former agricultural land in Estonia considering fluxes from the soil, tree stems and whole ecosystem. Grey alder (Alnus incana) is a fast-growing tree species typically found in riparian zones, with great potential for short-rotation forestry. Their symbiotic dinitrogen (N2) fixation ability makes alders important for the regulation of nitrogen (N) cycle in forested areas.
We measured the N2O budget considering fluxes from the soil surface (12 automated chambers; Picarro 2508), tree stems (60 manual sampling campaigns from 12 model trees with chambers at 0.1, 0.8 and 1.7 m; gas chromatographic analysis in lab) and whole ecosystem (EC technique: Aerodyne TILDAS). Simultaneously, soil water level, temperature and moisture were measured automatically, and composite soil samples were taken for physico-chemical analysis. Potential N2 flux in intact soil cores was measured in the lab using the He-O incubation method.
Average N2O fluxes from the soil and tree stems varied from 1.2 to 3.0 and 0.01 to 0.03 kg N2O-N ha–1 yr–1, respectively, being the highest during the wet periods, peaking during the freezing-thawing, and being the lowest in dry periods. The average annual potential N2 flux in the soil was 140 kg N2 ha–1 yr–1 which made the average N2:N2O-N ratio in the soil about 60. According to the EC measurements, the forest was a net annual source of N2O (3.4 kg N2O ha–1). Thus, the main gaseous nitrogen flux in this forest was N2 emission. Our carbon (C) budget showed that the forest was a significant net annual C sink.
Results of our long-term study underline the high N and C buffering capacity of riparian alder forests. For better understanding of C and nutrient budgets of riparian forests, we need long-term, high-frequency measurements of N2O fluxes from the soil and tree stems in combination with ecosystem-level EC measurements. The identification of microorganisms and biogeochemical pathways associated with N2O production and consumption is another future challenge.
How to cite: Mander, Ü., Schindler, T., Macháčová, K., Krasnova, A., Escuer-Gatius, J., Maddison, M., Pärn, J., Veber, G., Krasnov, D., and Soosaar, K.: Three-year dynamics of N2O fluxes from soil, stem and canopy in a hemiboreal forest: Impacts of floods and droughts, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7760, https://doi.org/10.5194/egusphere-egu2020-7760, 2020.
EGU2020-5983 | Displays | BG1.2
“Hot spots” in high-latitude moss-associated N fixation: What drives locally high fixation rates?Julia Stuart and Michelle Mack
Moss-associated nitrogen (N) fixation provides a substantial but heterogeneous input of new N to nutrient limited ecosystems at high latitudes. The presence of “hot spots”, defined as a rate of N fixation greater than three standard errors over the mean rate, can further increase the difficulty of scaling N inputs to plant communities or ecosystems. We used 15N2 incubations to quantify the fixation rates associated with 34 moss species from 24 sites ranging from 60 to 68 degrees N in Alaska, USA. The total moss-associated fixation rates ranged from 0.08 to 4.4 kg N ha-1yr-1, with an average of 1.1 kg N ha-1yr-1, based on abundance-weighted averages of all mosses summed for each site. Five of the 24 sampled sites were hot spots of N fixation. We hypothesized that host moss diversity would be correlated with higher N fixation rates, since different mosses often have distinct microbial assemblages and higher microbial diversity has been linked with higher N fixation rates in other ecosystems. However, we found no significant correlation between either moss taxonomic richness or Simpson’s D and N fixation rates (p=0.102, R2=0.01 and p=0.522, R2=0.02, respectively). What we found instead was that certain high-fixing species, most importantly Tomentypnum nitens, were present in almost all hot spots. The relevance of moss taxonomic identity in driving N fixation rates was repeatedly observed in our survey, where both machine learning and mixed model approaches found that moss family was a significant predictor of associated fixation rates across ecosystems in Alaska. Taken together, these results indicate the importance of moss identity in driving hot spots and illustrate that host taxonomy may be a useful tool in generating more accurate large-scale assessments of associated N inputs in these vulnerable and valuable ecosystems.
How to cite: Stuart, J. and Mack, M.: “Hot spots” in high-latitude moss-associated N fixation: What drives locally high fixation rates? , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5983, https://doi.org/10.5194/egusphere-egu2020-5983, 2020.
Moss-associated nitrogen (N) fixation provides a substantial but heterogeneous input of new N to nutrient limited ecosystems at high latitudes. The presence of “hot spots”, defined as a rate of N fixation greater than three standard errors over the mean rate, can further increase the difficulty of scaling N inputs to plant communities or ecosystems. We used 15N2 incubations to quantify the fixation rates associated with 34 moss species from 24 sites ranging from 60 to 68 degrees N in Alaska, USA. The total moss-associated fixation rates ranged from 0.08 to 4.4 kg N ha-1yr-1, with an average of 1.1 kg N ha-1yr-1, based on abundance-weighted averages of all mosses summed for each site. Five of the 24 sampled sites were hot spots of N fixation. We hypothesized that host moss diversity would be correlated with higher N fixation rates, since different mosses often have distinct microbial assemblages and higher microbial diversity has been linked with higher N fixation rates in other ecosystems. However, we found no significant correlation between either moss taxonomic richness or Simpson’s D and N fixation rates (p=0.102, R2=0.01 and p=0.522, R2=0.02, respectively). What we found instead was that certain high-fixing species, most importantly Tomentypnum nitens, were present in almost all hot spots. The relevance of moss taxonomic identity in driving N fixation rates was repeatedly observed in our survey, where both machine learning and mixed model approaches found that moss family was a significant predictor of associated fixation rates across ecosystems in Alaska. Taken together, these results indicate the importance of moss identity in driving hot spots and illustrate that host taxonomy may be a useful tool in generating more accurate large-scale assessments of associated N inputs in these vulnerable and valuable ecosystems.
How to cite: Stuart, J. and Mack, M.: “Hot spots” in high-latitude moss-associated N fixation: What drives locally high fixation rates? , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5983, https://doi.org/10.5194/egusphere-egu2020-5983, 2020.
EGU2020-11857 | Displays | BG1.2
The fixed nitrogen sensitivity of biological nitrogen fixation in salt marshes sediments from the northeastern United StatesRomain Darnajoux, Rei Zhang, Katja Luxem, and Xinning Zhang
Biological nitrogen fixation, the main input of fixed N into ecosystems, converts inert N2 gas into bioavailable ammonium in an energetically costly reaction catalyzed by the prokaryotic metalloenzyme nitrogenase. The high ATP and reductant requirements of N2 fixation explain why this process is highly regulated in diazotrophs, with the presence of ammonium inhibiting nitrogenase expression and activity. Yet, several reports of N2 fixation in ammonium- and nitrate-rich (10 to 300 µM) benthic environments challenge our understanding of a key environmental sensitivity of N2 fixation. Field studies point to heterotrophic sulfate reducers as the likely diazotrophs in these benthic settings, but the fixed N sensitivity of sulfate-reducing diazotrophs is not well understood due to a dearth of culture studies. Additionally, assays of N2 fixation in incubations rarely involve parallel measurements of dissolved inorganic nitrogen, possibly leading to experimental bias in favor of detecting activity under ammonium-replete initial conditions.
To help reconcile the environmental results, we investigate the ammonium sensitivity of N2 fixation using the acetylene reduction assay and 15N2 tracer methods in i) the model sulfate-reducing diazotroph, Desulfovibrio vulgaris str. Hildenborough (DvH), ii) four enrichment cultures from salt marsh sediments of New Jersey, and iii) slurry incubations of sediments collected from three northeastern salt marshes. In all instances, we found that ammonium strongly inhibits biological nitrogen fixation, with nitrogenase activity only detectable when ammonium concentration is below a threshold of 10 µM (slurry incubation) or 2 µM (pure cultures, enrichments). Amendment of ammonium quickly inhibits nitrogen fixation and nitrogenase activity only resumes once ammonium is depleted to the threshold level. Ammonium additions to actively fixing samples show complete inhibition of N2 fixation within several hours post-addition.
Our measurements of the ammonium sensitivity of benthic N2 fixation are consistent with the traditional understanding of nitrogen fixer metabolism and with early findings of Postgate et al. (1984) demonstrating that N2 fixation by the sulfate reducer Desulfovibrio gigas is inhibited by ammonium levels that exceed 10 µM. These results help clarify a long-standing paradox in benthic nitrogen cycling. We suggest that prior observations of N2 fixation at elevated ammonium levels could reflect methodological artifacts due to very fast depletion of ammonium during activity assays, legacy N2 fixation activity associated with incomplete inhibition by ammonium, or spatial heterogeneity. Further work to standardize fixed N sensitivity assays could help with cross-study comparisons and with clarifying inconsistencies in our understanding of how environmental fixed nitrogen levels control nitrogen fixation.
How to cite: Darnajoux, R., Zhang, R., Luxem, K., and Zhang, X.: The fixed nitrogen sensitivity of biological nitrogen fixation in salt marshes sediments from the northeastern United States, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11857, https://doi.org/10.5194/egusphere-egu2020-11857, 2020.
Biological nitrogen fixation, the main input of fixed N into ecosystems, converts inert N2 gas into bioavailable ammonium in an energetically costly reaction catalyzed by the prokaryotic metalloenzyme nitrogenase. The high ATP and reductant requirements of N2 fixation explain why this process is highly regulated in diazotrophs, with the presence of ammonium inhibiting nitrogenase expression and activity. Yet, several reports of N2 fixation in ammonium- and nitrate-rich (10 to 300 µM) benthic environments challenge our understanding of a key environmental sensitivity of N2 fixation. Field studies point to heterotrophic sulfate reducers as the likely diazotrophs in these benthic settings, but the fixed N sensitivity of sulfate-reducing diazotrophs is not well understood due to a dearth of culture studies. Additionally, assays of N2 fixation in incubations rarely involve parallel measurements of dissolved inorganic nitrogen, possibly leading to experimental bias in favor of detecting activity under ammonium-replete initial conditions.
To help reconcile the environmental results, we investigate the ammonium sensitivity of N2 fixation using the acetylene reduction assay and 15N2 tracer methods in i) the model sulfate-reducing diazotroph, Desulfovibrio vulgaris str. Hildenborough (DvH), ii) four enrichment cultures from salt marsh sediments of New Jersey, and iii) slurry incubations of sediments collected from three northeastern salt marshes. In all instances, we found that ammonium strongly inhibits biological nitrogen fixation, with nitrogenase activity only detectable when ammonium concentration is below a threshold of 10 µM (slurry incubation) or 2 µM (pure cultures, enrichments). Amendment of ammonium quickly inhibits nitrogen fixation and nitrogenase activity only resumes once ammonium is depleted to the threshold level. Ammonium additions to actively fixing samples show complete inhibition of N2 fixation within several hours post-addition.
Our measurements of the ammonium sensitivity of benthic N2 fixation are consistent with the traditional understanding of nitrogen fixer metabolism and with early findings of Postgate et al. (1984) demonstrating that N2 fixation by the sulfate reducer Desulfovibrio gigas is inhibited by ammonium levels that exceed 10 µM. These results help clarify a long-standing paradox in benthic nitrogen cycling. We suggest that prior observations of N2 fixation at elevated ammonium levels could reflect methodological artifacts due to very fast depletion of ammonium during activity assays, legacy N2 fixation activity associated with incomplete inhibition by ammonium, or spatial heterogeneity. Further work to standardize fixed N sensitivity assays could help with cross-study comparisons and with clarifying inconsistencies in our understanding of how environmental fixed nitrogen levels control nitrogen fixation.
How to cite: Darnajoux, R., Zhang, R., Luxem, K., and Zhang, X.: The fixed nitrogen sensitivity of biological nitrogen fixation in salt marshes sediments from the northeastern United States, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11857, https://doi.org/10.5194/egusphere-egu2020-11857, 2020.
EGU2020-1951 | Displays | BG1.2
Terrestrial Biological Nitrogen Fixation in CMIP6 ModelsTaraka Davies-Barnard, Johannes Meyerholt, Sönke Zaehle, Pierre Friedlingstein, Victor Brovkin, Yuanchao Fan, Rosie Fisher, Chris Jones, Hanna Lee, Daniele Peano, Benjamin Smith, David Wårlind, Andy Wiltshire, and Tilo Ziehn
Biological nitrogen fixation (BNF) is a key contributor to sustaining the terrestrial carbon cycle, providing nitrogen input that plants require. This is particularly salient for projections of carbon uptake under increased atmospheric carbon dioxide concentrations, which may allow for so-called ‘carbon dioxide fertilisation’ if other plant requirements, such as nitrogen, do not prevent increases in productivity. The amount, processes, and global distribution of BNF is highly disputed and consequently land surface models represent it in varying ways. Looking at the latest generation of CMIP6 earth system models with terrestrial nitrogen cycles, we consider their performance with regard to BNF. We assess models against a new comprehensive meta-analysis of BNF field measurements that gives a global range and site-specific values. We find that compared to the wide range of upscaled observations, the models still have a larger range, with under and overestimates.
How to cite: Davies-Barnard, T., Meyerholt, J., Zaehle, S., Friedlingstein, P., Brovkin, V., Fan, Y., Fisher, R., Jones, C., Lee, H., Peano, D., Smith, B., Wårlind, D., Wiltshire, A., and Ziehn, T.: Terrestrial Biological Nitrogen Fixation in CMIP6 Models, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1951, https://doi.org/10.5194/egusphere-egu2020-1951, 2020.
Biological nitrogen fixation (BNF) is a key contributor to sustaining the terrestrial carbon cycle, providing nitrogen input that plants require. This is particularly salient for projections of carbon uptake under increased atmospheric carbon dioxide concentrations, which may allow for so-called ‘carbon dioxide fertilisation’ if other plant requirements, such as nitrogen, do not prevent increases in productivity. The amount, processes, and global distribution of BNF is highly disputed and consequently land surface models represent it in varying ways. Looking at the latest generation of CMIP6 earth system models with terrestrial nitrogen cycles, we consider their performance with regard to BNF. We assess models against a new comprehensive meta-analysis of BNF field measurements that gives a global range and site-specific values. We find that compared to the wide range of upscaled observations, the models still have a larger range, with under and overestimates.
How to cite: Davies-Barnard, T., Meyerholt, J., Zaehle, S., Friedlingstein, P., Brovkin, V., Fan, Y., Fisher, R., Jones, C., Lee, H., Peano, D., Smith, B., Wårlind, D., Wiltshire, A., and Ziehn, T.: Terrestrial Biological Nitrogen Fixation in CMIP6 Models, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1951, https://doi.org/10.5194/egusphere-egu2020-1951, 2020.
EGU2020-21311 | Displays | BG1.2
Pulses of Biogenic Nitrogen Cycling Lead to Atmospheric-Based Nutrient Spiraling in Southern CaliforniaDarrel Jenerette, Alex Krichels, Stephanie Piper, Aral Greene, Jon Botthoff, Hannah Shulman, Emma Aronson, Peter Homyak, James Sickman, and Jun Wang
Nitrogen deposition into arid ecosystems is increasingly shaping biogeochemical dynamics worldwide. We propose a framework to investigate the role of pulsed soil N emission as a mechanism that relays the influences of atmospheric anthropogenic N deposition to areas that otherwise would be minimally affected. We use nutrient spiraling theory, developed in lotic ecosystems, to quantify how regeneration of N by soils influences N deposition downwind of an urban plume. Our hierarchical framework of landscape functioning thereby connects ecosystem processes occurring from microbial (<1cm and hours) to regional (>100km and inter-annual) scales through reciprocal interactions among soils and microbes, pollution sources, and the atmosphere. We use southern California, USA as a case study for evaluation where we test the terrestrial nitrogen spiraling framework using a combination of field experiments, isotopic measurements, theoretical models, and atmospheric transport and chemistry model outputs. Initial results from field wetting experiments, isotope measurements and contrasting modeling approaches all support a spiraling framework and the increasing importance of soil regeneration of nitrogen to deposition farther from the urban source. Soil microbiome communities associated with nitrogen cycling vary both spatially across the deposition gradient and temporally in response to wetting events. From these results we derive terrestrial spiraling metrics that can identify consequences of both soil and anthropogenic inputs to regional nitrogen cycling. New landscape frameworks for evaluating the role of transport and transformations on N cycling can help understand and predict spatial variation in ecosystems connected across multiple scales.
How to cite: Jenerette, D., Krichels, A., Piper, S., Greene, A., Botthoff, J., Shulman, H., Aronson, E., Homyak, P., Sickman, J., and Wang, J.: Pulses of Biogenic Nitrogen Cycling Lead to Atmospheric-Based Nutrient Spiraling in Southern California, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21311, https://doi.org/10.5194/egusphere-egu2020-21311, 2020.
Nitrogen deposition into arid ecosystems is increasingly shaping biogeochemical dynamics worldwide. We propose a framework to investigate the role of pulsed soil N emission as a mechanism that relays the influences of atmospheric anthropogenic N deposition to areas that otherwise would be minimally affected. We use nutrient spiraling theory, developed in lotic ecosystems, to quantify how regeneration of N by soils influences N deposition downwind of an urban plume. Our hierarchical framework of landscape functioning thereby connects ecosystem processes occurring from microbial (<1cm and hours) to regional (>100km and inter-annual) scales through reciprocal interactions among soils and microbes, pollution sources, and the atmosphere. We use southern California, USA as a case study for evaluation where we test the terrestrial nitrogen spiraling framework using a combination of field experiments, isotopic measurements, theoretical models, and atmospheric transport and chemistry model outputs. Initial results from field wetting experiments, isotope measurements and contrasting modeling approaches all support a spiraling framework and the increasing importance of soil regeneration of nitrogen to deposition farther from the urban source. Soil microbiome communities associated with nitrogen cycling vary both spatially across the deposition gradient and temporally in response to wetting events. From these results we derive terrestrial spiraling metrics that can identify consequences of both soil and anthropogenic inputs to regional nitrogen cycling. New landscape frameworks for evaluating the role of transport and transformations on N cycling can help understand and predict spatial variation in ecosystems connected across multiple scales.
How to cite: Jenerette, D., Krichels, A., Piper, S., Greene, A., Botthoff, J., Shulman, H., Aronson, E., Homyak, P., Sickman, J., and Wang, J.: Pulses of Biogenic Nitrogen Cycling Lead to Atmospheric-Based Nutrient Spiraling in Southern California, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21311, https://doi.org/10.5194/egusphere-egu2020-21311, 2020.
EGU2020-4954 | Displays | BG1.2
Does it pay off to link functional gene expression to denitrification rates via modelling?Anna Störiko, Holger Pagel, and Olaf Cirpka
The abundances of functional genes and transcripts have provided new insights into microbially mediated biogeochemical processes and might improve quantitative predictions of turnover rates.
However, the relationship between reaction rates and the gene and transcript abundances may not be a simple correlation.
Most mechanistic reaction models cannot predict molecular-biological data, and it is unclear how they can be informed by such data.
We developed a mechanistic model that considers transcript abundances of denitrification genes, enzyme concentrations, biomass, and solute concentrations as state variables that are interrelated by ordinary differential equations, and thus mechanistically links molecular-biological data to reaction rates.
Important features of transcript dynamics can be reproduced with the transcript-based model.
We calibrated the model using data from a batch experiment with a denitrifying organism at the onset of anoxia.
We explored the relationship between transcript abundances and reaction rates by analyzing the model results.
The transcript abundances reacted very quickly to substrate concentrations so that we could simplify the model by assuming a quasi steady state of the transcripts.
We compared our model to a classical Monod-type formulation, which was as good at simulating the concentrations of nitrogen species as the transcript-based model, but it cannot make use of any molecular-biological data.
Our results, thus, suggest that enzyme kinetics (substrate limitation, inhibition) control denitrification rates more strongly than the dynamics of gene expression.
How to cite: Störiko, A., Pagel, H., and Cirpka, O.: Does it pay off to link functional gene expression to denitrification rates via modelling?, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4954, https://doi.org/10.5194/egusphere-egu2020-4954, 2020.
The abundances of functional genes and transcripts have provided new insights into microbially mediated biogeochemical processes and might improve quantitative predictions of turnover rates.
However, the relationship between reaction rates and the gene and transcript abundances may not be a simple correlation.
Most mechanistic reaction models cannot predict molecular-biological data, and it is unclear how they can be informed by such data.
We developed a mechanistic model that considers transcript abundances of denitrification genes, enzyme concentrations, biomass, and solute concentrations as state variables that are interrelated by ordinary differential equations, and thus mechanistically links molecular-biological data to reaction rates.
Important features of transcript dynamics can be reproduced with the transcript-based model.
We calibrated the model using data from a batch experiment with a denitrifying organism at the onset of anoxia.
We explored the relationship between transcript abundances and reaction rates by analyzing the model results.
The transcript abundances reacted very quickly to substrate concentrations so that we could simplify the model by assuming a quasi steady state of the transcripts.
We compared our model to a classical Monod-type formulation, which was as good at simulating the concentrations of nitrogen species as the transcript-based model, but it cannot make use of any molecular-biological data.
Our results, thus, suggest that enzyme kinetics (substrate limitation, inhibition) control denitrification rates more strongly than the dynamics of gene expression.
How to cite: Störiko, A., Pagel, H., and Cirpka, O.: Does it pay off to link functional gene expression to denitrification rates via modelling?, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4954, https://doi.org/10.5194/egusphere-egu2020-4954, 2020.
EGU2020-12965 | Displays | BG1.2
Variability of nitrogen-cycle microbial communities determined by the age of restored wetlandsKuno Kasak, Tyler Anthony, Alex Valach, Kyle Hemes, Keit Kill, Whendee Silver, Ülo Mander, Daphne Szutu, Joseph Verfaillie, and Dennis Baldocchi
Restoring degraded peat soils to wetlands can be an attractive and efficient measure with many benefits including carbon sequestration, water quality improvement, food and habitat for wildlife, flood control, and opportunities for recreation. Agricultural lands which are restored to wetlands will start rebuild soils and reverse land subsidence. Using eddy covariance towers in four wetlands that were restored in 1997, 2010, 2013 and 2016 in the Sacramento-San Joaquin Delta in California, we saw high carbon sequestration potentials and peat accumulation. Since soil restoration takes place gradually, it is important to specify the critical turning-points in the process of improving soil microbial community structure and nitrogen cycling. In August 2018, soil samples from four wetlands with different restoration ages in the Delta were collected for chemical and microbial analyses. The bacterial and archaeal 16S rRNA genes and functional genes involved in nitrogen cycling (nirS, nirK, nosZ-I, nosZ-II, bacterial and archaeal amoA, nifH, nrfA, and ANAMMOX-specific genes) in soils were determined using a quantitative PCR method. Soil chemical parameters such as C%, N%, Al, Mn, Fe and two different organic and inorganic P pools were analysed as well. Preliminary results indicate significant dissimilarities in the abundance of soil bacterial and archaeal communities, as well as nirS, nirK, nosZ, nifH, nrfA and archaeal amoA gene-possessing microbial communities in different wetlands. Data analysis showed several statistically significant relationships between target gene parameters and soil chemical parameters that were different when comparing the sites with the restoration age. It is clear, that the complexity of the relationships increases as the wetland gets older. For example, in younger wetlands the availability of C and N plays a crucial role in gene abundances while in the oldest wetland, the most important chemical parameters were different phosphorus forms. This might indicate that more than 20 years of C and N accumulation has led to the availability of phosphorus for N transformation now to be the main limiting factor. Another important finding was that the design criteria can also determine how the wetland acts in terms of nitrogen gas emissions. For example, one of the wetlands was designed with more varied bathymetry that includes many open channels and a fluctuating water table. We saw that the nifH gene-possessing microbes that are responsible for molecular N fixing are highly abundant in open water areas while at the same time this wetland has also the highest abundance of nir genes that control N2O production by denitrifiers. Our study demonstrates that the design of the wetland can have a significant impact on N-transforming processes, but most importantly at some age, restored wetlands become more similar to natural wetlands.
How to cite: Kasak, K., Anthony, T., Valach, A., Hemes, K., Kill, K., Silver, W., Mander, Ü., Szutu, D., Verfaillie, J., and Baldocchi, D.: Variability of nitrogen-cycle microbial communities determined by the age of restored wetlands , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12965, https://doi.org/10.5194/egusphere-egu2020-12965, 2020.
Restoring degraded peat soils to wetlands can be an attractive and efficient measure with many benefits including carbon sequestration, water quality improvement, food and habitat for wildlife, flood control, and opportunities for recreation. Agricultural lands which are restored to wetlands will start rebuild soils and reverse land subsidence. Using eddy covariance towers in four wetlands that were restored in 1997, 2010, 2013 and 2016 in the Sacramento-San Joaquin Delta in California, we saw high carbon sequestration potentials and peat accumulation. Since soil restoration takes place gradually, it is important to specify the critical turning-points in the process of improving soil microbial community structure and nitrogen cycling. In August 2018, soil samples from four wetlands with different restoration ages in the Delta were collected for chemical and microbial analyses. The bacterial and archaeal 16S rRNA genes and functional genes involved in nitrogen cycling (nirS, nirK, nosZ-I, nosZ-II, bacterial and archaeal amoA, nifH, nrfA, and ANAMMOX-specific genes) in soils were determined using a quantitative PCR method. Soil chemical parameters such as C%, N%, Al, Mn, Fe and two different organic and inorganic P pools were analysed as well. Preliminary results indicate significant dissimilarities in the abundance of soil bacterial and archaeal communities, as well as nirS, nirK, nosZ, nifH, nrfA and archaeal amoA gene-possessing microbial communities in different wetlands. Data analysis showed several statistically significant relationships between target gene parameters and soil chemical parameters that were different when comparing the sites with the restoration age. It is clear, that the complexity of the relationships increases as the wetland gets older. For example, in younger wetlands the availability of C and N plays a crucial role in gene abundances while in the oldest wetland, the most important chemical parameters were different phosphorus forms. This might indicate that more than 20 years of C and N accumulation has led to the availability of phosphorus for N transformation now to be the main limiting factor. Another important finding was that the design criteria can also determine how the wetland acts in terms of nitrogen gas emissions. For example, one of the wetlands was designed with more varied bathymetry that includes many open channels and a fluctuating water table. We saw that the nifH gene-possessing microbes that are responsible for molecular N fixing are highly abundant in open water areas while at the same time this wetland has also the highest abundance of nir genes that control N2O production by denitrifiers. Our study demonstrates that the design of the wetland can have a significant impact on N-transforming processes, but most importantly at some age, restored wetlands become more similar to natural wetlands.
How to cite: Kasak, K., Anthony, T., Valach, A., Hemes, K., Kill, K., Silver, W., Mander, Ü., Szutu, D., Verfaillie, J., and Baldocchi, D.: Variability of nitrogen-cycle microbial communities determined by the age of restored wetlands , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12965, https://doi.org/10.5194/egusphere-egu2020-12965, 2020.
EGU2020-6367 | Displays | BG1.2
Key shaping factors of anammox bacterial geographical distribution and function in riverine ecosystemsSitong Liu and Liming Chen
The anaerobic ammonium oxidation (anammox) process converts ammonium to dinitrogen gas (N2) using nitrite as an electron acceptor under anaerobic conditions, which plays an important role in global nitrogen cycle. Anammox has been extensively investigated at different spatial scales. However, most previous studies have focused on the impacts of environmental factors on anammox bacterial community composition, whereas the influence of spatial factors, such as geographical distance, remains unclear. Here, we took sediment and water samples from two large-scale river in China: the Yangtze River. High-throughput biomolecule analysis was performed to explore the spatial patterns of anammox bacterial community and their response to environmental factors, spatial factors, community interchange and anammox bacterial traits. Additionally, 15N tracer analyses has been performed to estimated anammox activity and its contribution to N2 production (ra), and factors shaping its occurrence. Main conclusions are draw as follows:
(1) The Three Gorges Dam (TGD) induced sediment coarsening could enhance anammox role as an important N-sink and decrease anammox bacterial alpha diversity. Anammox is ubiquitous in sediment of the Yangtze River, with high bacterial abundance (1.0×105 to 2.90×108 copies g-1 dry sediment), and activity (0.003-6.67 nmol N g-1 h-1), accounting for 3.5-82.8% of total N2 production (ra). Our results showed that the ra at the post-dam site was steeper than that before the dam, whereas the alpha diversity of anammox bacteria showing an opposite trend. Further analysis showed that hydraulic erosion leads to sediment coarsening and loss of organic matter downstream of the dam, which ultimately leads to the enhancement of the ra and the decrease of anammox bacterial alpha diversity. TGD induced sediment coarsening would extend downstream nearly to the river mouth in the coming decades, which would inevitably enhance the importance of anammox in nitrogen loss and alter anammox bacterial community in the Yangtze River for a long time.
(2) A significant distance-decay relationship was observed for anammox bacterial community similarity in the Yangtze River, which was significantly influenced by geographical distance rather than local environmental factors. This implied that niche-independent dispersal limitation plays an important role in shaping anammox community assembly. Furthermore, the slope of the distance-decay curve was much higher than previously reported for whole bacteria, which indicating the species turnover rate of anammox bacteria (z-value = 0.35) was significantly higher than that of the whole bacteria (approximately 0.008-0.05). Anammox bacteria harbor stronger adsorption ability and film-forming ability than other bacteria. As such, anammox bacterial harbor lower dispersal potential, and ultimately exhibited a higher species turnover rate than whole bacteria.
This study investigated the geographical patterns and the driving mechanisms of anammox bacterial community in large-scale riverine ecosystems, and estimated the key shaping factors of anammox activity and its contribution to total N2 production. The results or conclusions of this study are of scientific significance for further revealing the community assembly and geographical patterns of anammox bacteria on a global scale, as well as the theoretical system of nitrogen cycle.
How to cite: Liu, S. and Chen, L.: Key shaping factors of anammox bacterial geographical distribution and function in riverine ecosystems, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6367, https://doi.org/10.5194/egusphere-egu2020-6367, 2020.
The anaerobic ammonium oxidation (anammox) process converts ammonium to dinitrogen gas (N2) using nitrite as an electron acceptor under anaerobic conditions, which plays an important role in global nitrogen cycle. Anammox has been extensively investigated at different spatial scales. However, most previous studies have focused on the impacts of environmental factors on anammox bacterial community composition, whereas the influence of spatial factors, such as geographical distance, remains unclear. Here, we took sediment and water samples from two large-scale river in China: the Yangtze River. High-throughput biomolecule analysis was performed to explore the spatial patterns of anammox bacterial community and their response to environmental factors, spatial factors, community interchange and anammox bacterial traits. Additionally, 15N tracer analyses has been performed to estimated anammox activity and its contribution to N2 production (ra), and factors shaping its occurrence. Main conclusions are draw as follows:
(1) The Three Gorges Dam (TGD) induced sediment coarsening could enhance anammox role as an important N-sink and decrease anammox bacterial alpha diversity. Anammox is ubiquitous in sediment of the Yangtze River, with high bacterial abundance (1.0×105 to 2.90×108 copies g-1 dry sediment), and activity (0.003-6.67 nmol N g-1 h-1), accounting for 3.5-82.8% of total N2 production (ra). Our results showed that the ra at the post-dam site was steeper than that before the dam, whereas the alpha diversity of anammox bacteria showing an opposite trend. Further analysis showed that hydraulic erosion leads to sediment coarsening and loss of organic matter downstream of the dam, which ultimately leads to the enhancement of the ra and the decrease of anammox bacterial alpha diversity. TGD induced sediment coarsening would extend downstream nearly to the river mouth in the coming decades, which would inevitably enhance the importance of anammox in nitrogen loss and alter anammox bacterial community in the Yangtze River for a long time.
(2) A significant distance-decay relationship was observed for anammox bacterial community similarity in the Yangtze River, which was significantly influenced by geographical distance rather than local environmental factors. This implied that niche-independent dispersal limitation plays an important role in shaping anammox community assembly. Furthermore, the slope of the distance-decay curve was much higher than previously reported for whole bacteria, which indicating the species turnover rate of anammox bacteria (z-value = 0.35) was significantly higher than that of the whole bacteria (approximately 0.008-0.05). Anammox bacteria harbor stronger adsorption ability and film-forming ability than other bacteria. As such, anammox bacterial harbor lower dispersal potential, and ultimately exhibited a higher species turnover rate than whole bacteria.
This study investigated the geographical patterns and the driving mechanisms of anammox bacterial community in large-scale riverine ecosystems, and estimated the key shaping factors of anammox activity and its contribution to total N2 production. The results or conclusions of this study are of scientific significance for further revealing the community assembly and geographical patterns of anammox bacteria on a global scale, as well as the theoretical system of nitrogen cycle.
How to cite: Liu, S. and Chen, L.: Key shaping factors of anammox bacterial geographical distribution and function in riverine ecosystems, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6367, https://doi.org/10.5194/egusphere-egu2020-6367, 2020.
EGU2020-15588 | Displays | BG1.2
The imprint of anammox on the stable isotope compositions of nitrogen-bearing moleculesPaul Magyar, Damian Hausherr, Robert Niederdorfer, Jing Wei, Joachim Mohn, Helmut Bürgmann, Adriano Joss, and Moritz Lehmann
Stable isotope measurements of nitrogen and oxygen in nitrogen-containing molecules provide important constraints on the sources, sinks and pools of these molecules in the environment. Anammox is one of two known biological processes for converting fixed nitrogen to N2, and through its consumption of ammonium and nitrite and production of nitrate, it impacts the supply of a wide variety of fixed N molecules. Nevertheless, the isotope fractionations associated with the various anammox-associated redox reactions remain poorly constrained. We have measured the isotope effects of anammox in microbial communities enriched for the purpose of nitrogen removal from wastewater by anammox. In this system, we can replicate the ecological complexity exhibited in environmental settings, while also performing controlled experiments. We find that under a variety of conditions, the nitrogen isotope effect for the anaerobic oxidation of ammonium in this system (NH4+ to N2) is between 19‰ and 32‰, that for the reduction of nitrite (NO2– to N2) is between 7‰ and 18‰, and that for the production of nitrate (NO2– to NO3–) is between -16‰ and -43‰. We propose that these ranges reflect both (1) a mixture of signals from different anammox-performing species and (2) variation of the isotope effect associated with the anammox process within a given microbial community under different conditions. We seek to understand further what factors control this variability to better interpret stable isotope measurements of N-bearing molecules in environmental settings.
How to cite: Magyar, P., Hausherr, D., Niederdorfer, R., Wei, J., Mohn, J., Bürgmann, H., Joss, A., and Lehmann, M.: The imprint of anammox on the stable isotope compositions of nitrogen-bearing molecules, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-15588, https://doi.org/10.5194/egusphere-egu2020-15588, 2020.
Stable isotope measurements of nitrogen and oxygen in nitrogen-containing molecules provide important constraints on the sources, sinks and pools of these molecules in the environment. Anammox is one of two known biological processes for converting fixed nitrogen to N2, and through its consumption of ammonium and nitrite and production of nitrate, it impacts the supply of a wide variety of fixed N molecules. Nevertheless, the isotope fractionations associated with the various anammox-associated redox reactions remain poorly constrained. We have measured the isotope effects of anammox in microbial communities enriched for the purpose of nitrogen removal from wastewater by anammox. In this system, we can replicate the ecological complexity exhibited in environmental settings, while also performing controlled experiments. We find that under a variety of conditions, the nitrogen isotope effect for the anaerobic oxidation of ammonium in this system (NH4+ to N2) is between 19‰ and 32‰, that for the reduction of nitrite (NO2– to N2) is between 7‰ and 18‰, and that for the production of nitrate (NO2– to NO3–) is between -16‰ and -43‰. We propose that these ranges reflect both (1) a mixture of signals from different anammox-performing species and (2) variation of the isotope effect associated with the anammox process within a given microbial community under different conditions. We seek to understand further what factors control this variability to better interpret stable isotope measurements of N-bearing molecules in environmental settings.
How to cite: Magyar, P., Hausherr, D., Niederdorfer, R., Wei, J., Mohn, J., Bürgmann, H., Joss, A., and Lehmann, M.: The imprint of anammox on the stable isotope compositions of nitrogen-bearing molecules, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-15588, https://doi.org/10.5194/egusphere-egu2020-15588, 2020.
EGU2020-3692 | Displays | BG1.2
Nitrite isotope characteristics in 15N-labelled and non-labelled agricultural soilDominika Lewicka-Szczebak and Reinhard Well
Nitrite (NO2-) is a crucial compound in the complex N soil cycle. As an intermediate of nearly all N transformations its isotopic signature may provide precious information on the active pathways and processes. NO2- analyses have been already applied in 15N tracing studies increasing their interpretation perspectives. Natural abundance NO2- isotope studies in soils were so far not applied and this study aims at testing if such analyses are useful in tracing the soil N cycle.
We conducted laboratory soil incubations with parallel natural abundance and 15N treatments accompanied by analyses of soil N compounds (NO3-, NO2-, NH4+) and released N gases (N2O and N2). Water content was varied during the experiment from 55 to 86% water-filled pore space. NO2- was immediately extracted and analysed with the denitrifier method for selective nitrite reduction with Stenotrophomonas nitritireducens.
NO2- content varied in the wide range from 0.6 to 6.6 μmol kg-1 soil, whereas NO3- content was one order higher and quite stable from 1.3 to 1.7 mmol kg-1 soil. Similarly, the δ15N(NO2-) varied largely from -16.7 to +8.8‰, whereas δ15N(NO3-) was very stable from 3.5 to 5.9‰. The δ15N(NO2-) was correlated with NO2- content. Applying Keeling plot the isotopic signature for the NO2- input of -11.7‰ was determined. When related to δ15N(NO3-) this gives the ε(NO2-/ NO3-) of -16.2‰, which is within the literature data for NO3- to NO2- reduction step of denitrification.
The parallel 15N treatment was used to provide interpretation for the natural abundance isotope nitrite dynamics. We observed a sudden drop in 15N abundance in NO2- (a15N(NO2-)) after water addition to the soil from 14.7 to 3.2 at%, whereas 15N abundance in NO3- (a15N_NO3-) showed only slight decrease from 14.2 to 13.1 at%. This indicates an incorporation of another source of unlabelled NO2- for the wet part of the experiment. In natural abundance isotopes this change was also reflected in higher Δ15N(NO2-/ NO3-); for the wet part of the experiment it was even positive with +1.6‰, whereas for the dry part it was lower with -5.9‰. This additional nitrite source is most probably oxidation of organic N, which will be clarified by further studies, including detailed analysis with the 15N Ntrace model.
The observed changes in nitrite isotope characteristics were not reflected in N2O. Whereas a15N(NO2-) droped to 3.2 at%, for a15N(N2O) still 13.6 at% were found. The pool derived N2O fraction calculated with the 15N gas flux method showed that the entire N2O originated from NO3- in the wet part of the experiment. This shows that NO2- pools originating from different pathways must be isolated and not the entire NO2- pool undergoes further reduction to N2O.
Natural abundance nitrite isotope studies may provide a new important tool in constraining the N soil cycling.
How to cite: Lewicka-Szczebak, D. and Well, R.: Nitrite isotope characteristics in 15N-labelled and non-labelled agricultural soil, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3692, https://doi.org/10.5194/egusphere-egu2020-3692, 2020.
Nitrite (NO2-) is a crucial compound in the complex N soil cycle. As an intermediate of nearly all N transformations its isotopic signature may provide precious information on the active pathways and processes. NO2- analyses have been already applied in 15N tracing studies increasing their interpretation perspectives. Natural abundance NO2- isotope studies in soils were so far not applied and this study aims at testing if such analyses are useful in tracing the soil N cycle.
We conducted laboratory soil incubations with parallel natural abundance and 15N treatments accompanied by analyses of soil N compounds (NO3-, NO2-, NH4+) and released N gases (N2O and N2). Water content was varied during the experiment from 55 to 86% water-filled pore space. NO2- was immediately extracted and analysed with the denitrifier method for selective nitrite reduction with Stenotrophomonas nitritireducens.
NO2- content varied in the wide range from 0.6 to 6.6 μmol kg-1 soil, whereas NO3- content was one order higher and quite stable from 1.3 to 1.7 mmol kg-1 soil. Similarly, the δ15N(NO2-) varied largely from -16.7 to +8.8‰, whereas δ15N(NO3-) was very stable from 3.5 to 5.9‰. The δ15N(NO2-) was correlated with NO2- content. Applying Keeling plot the isotopic signature for the NO2- input of -11.7‰ was determined. When related to δ15N(NO3-) this gives the ε(NO2-/ NO3-) of -16.2‰, which is within the literature data for NO3- to NO2- reduction step of denitrification.
The parallel 15N treatment was used to provide interpretation for the natural abundance isotope nitrite dynamics. We observed a sudden drop in 15N abundance in NO2- (a15N(NO2-)) after water addition to the soil from 14.7 to 3.2 at%, whereas 15N abundance in NO3- (a15N_NO3-) showed only slight decrease from 14.2 to 13.1 at%. This indicates an incorporation of another source of unlabelled NO2- for the wet part of the experiment. In natural abundance isotopes this change was also reflected in higher Δ15N(NO2-/ NO3-); for the wet part of the experiment it was even positive with +1.6‰, whereas for the dry part it was lower with -5.9‰. This additional nitrite source is most probably oxidation of organic N, which will be clarified by further studies, including detailed analysis with the 15N Ntrace model.
The observed changes in nitrite isotope characteristics were not reflected in N2O. Whereas a15N(NO2-) droped to 3.2 at%, for a15N(N2O) still 13.6 at% were found. The pool derived N2O fraction calculated with the 15N gas flux method showed that the entire N2O originated from NO3- in the wet part of the experiment. This shows that NO2- pools originating from different pathways must be isolated and not the entire NO2- pool undergoes further reduction to N2O.
Natural abundance nitrite isotope studies may provide a new important tool in constraining the N soil cycling.
How to cite: Lewicka-Szczebak, D. and Well, R.: Nitrite isotope characteristics in 15N-labelled and non-labelled agricultural soil, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3692, https://doi.org/10.5194/egusphere-egu2020-3692, 2020.
EGU2020-5257 | Displays | BG1.2
Oxygen supply and demand as controls of denitrification at the microscale in repacked soilLena Rohe, Steffen Schlüter, Bernd Apelt, Hans-Jörg Vogel, and Reinhard Well
The controlling factors of biotic denitrification in soil as a source of the greenhouse gas nitrous oxide (N2O) and of dinitrogen (N2) are still not fully understood due to the challenges in observing processes that co-occur in soil at microscopic scales and the difficulty to measure N2 fluxes. N2O production and reduction depend on the extent of anoxic conditions in soil, which in turn are a function of O2 supply through diffusion and O2 demand by soil respiration in the presence of an alternative electron acceptor (e.g. nitrate).
This study aimed to explore microscopic drivers that control total denitrification, i.e. N2O and (N2O+N2) fluxes. To provoke different levels of oxygen supply and demand, repacked soils from two locations in Germany were incubated in a full factorial design with soil organic matter (1.2 and 4.5 %), aggregate size (2-4 and 4-8mm) and water saturation (70%, 83% and 95% WHC) as factors. The sieved soils were repacked and incubated at constant temperature and moisture and gas emissions (CO2 and N2O) were monitored with gas chromatography. The 15N tracer application was used to estimate the N2O reduction to N2. The internal soil structure and air distribution was measured with X-ray computed tomography (X-ray CT).
The interplay of anaerobic soil volume fraction (ansvf) as an abiotic proxy of oxygen supply and CO2 emission as a biotic proxy of oxygen demand resulted in 81% and 84% explained variability in N2O and (N2O+N2) emissions, respectively. These high values dropped to 5-30% when only ansvf or CO2 was considered indicating strong interaction effects. The extent of N2O reduction in combination with ansvf and CO2 even increased the explained variability for N2O fluxes to 83%. Average O2 concentration measured by microsensors was a very poor predictor due to the extreme variability in O2 at short scales in combination with the small footprint of the micro sensors probing only 0.2% of the entire soil volume. The substitution of predictors by independent, readily available proxies for O2 supply (diffusivity based on air content) and O2 demand (SOM) leads to a reduction in predictive power.
To our knowledge this is the first study analyzing total denitrification in combination with X-ray CT image analysis, which opens up new perspectives to estimate denitrification in soil and also contribute to improving models of N2O fluxes and fertiliser loss at all scales and can help to develop mitigation strategies for N2O fluxes and improve N use efficiency.
How to cite: Rohe, L., Schlüter, S., Apelt, B., Vogel, H.-J., and Well, R.: Oxygen supply and demand as controls of denitrification at the microscale in repacked soil , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5257, https://doi.org/10.5194/egusphere-egu2020-5257, 2020.
The controlling factors of biotic denitrification in soil as a source of the greenhouse gas nitrous oxide (N2O) and of dinitrogen (N2) are still not fully understood due to the challenges in observing processes that co-occur in soil at microscopic scales and the difficulty to measure N2 fluxes. N2O production and reduction depend on the extent of anoxic conditions in soil, which in turn are a function of O2 supply through diffusion and O2 demand by soil respiration in the presence of an alternative electron acceptor (e.g. nitrate).
This study aimed to explore microscopic drivers that control total denitrification, i.e. N2O and (N2O+N2) fluxes. To provoke different levels of oxygen supply and demand, repacked soils from two locations in Germany were incubated in a full factorial design with soil organic matter (1.2 and 4.5 %), aggregate size (2-4 and 4-8mm) and water saturation (70%, 83% and 95% WHC) as factors. The sieved soils were repacked and incubated at constant temperature and moisture and gas emissions (CO2 and N2O) were monitored with gas chromatography. The 15N tracer application was used to estimate the N2O reduction to N2. The internal soil structure and air distribution was measured with X-ray computed tomography (X-ray CT).
The interplay of anaerobic soil volume fraction (ansvf) as an abiotic proxy of oxygen supply and CO2 emission as a biotic proxy of oxygen demand resulted in 81% and 84% explained variability in N2O and (N2O+N2) emissions, respectively. These high values dropped to 5-30% when only ansvf or CO2 was considered indicating strong interaction effects. The extent of N2O reduction in combination with ansvf and CO2 even increased the explained variability for N2O fluxes to 83%. Average O2 concentration measured by microsensors was a very poor predictor due to the extreme variability in O2 at short scales in combination with the small footprint of the micro sensors probing only 0.2% of the entire soil volume. The substitution of predictors by independent, readily available proxies for O2 supply (diffusivity based on air content) and O2 demand (SOM) leads to a reduction in predictive power.
To our knowledge this is the first study analyzing total denitrification in combination with X-ray CT image analysis, which opens up new perspectives to estimate denitrification in soil and also contribute to improving models of N2O fluxes and fertiliser loss at all scales and can help to develop mitigation strategies for N2O fluxes and improve N use efficiency.
How to cite: Rohe, L., Schlüter, S., Apelt, B., Vogel, H.-J., and Well, R.: Oxygen supply and demand as controls of denitrification at the microscale in repacked soil , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5257, https://doi.org/10.5194/egusphere-egu2020-5257, 2020.
EGU2020-3318 | Displays | BG1.2 | Highlight
Nitrogen removal and nitrous oxide emissions in woodchips biofilters treating agricultural drainage watersJoachim Audet, Dominik Zak, and Carl Christian Hoffmann
Eutrophication of aquatic ecosystems provoked by excess nitrogen (N) concentration is still a major concern worldwide with severe consequences such as hypoxia, biodiversity loss, and degradation of drinking water quality. To face these challenges, a novel N mitigation measure has emerged in the last decades consisting of biofilters made of woodchips. Drainage water from agricultural areas infiltrate through a layer of woodchips before it discharges to an aquatic recipient such as a ditch or a stream. The goal with this technique is to provide optimal conditions for denitrification i.e. an easy degradable carbon source (the woodchips) and an anaerobic environment. There is, however, some concerns regarding the emissions of the greenhouse gas nitrous oxide (N2O) which can be a by-product of denitrification.
Here, we present results on N removal and N2O emissions from 9 biofilters differing in age (1–8 years) and representing a total of 18 years of monitoring. The biofilters were all located in agricultural catchments in Denmark (temperate climate conditions). Nitrogen removal in the biofilters was estimated using a mass balance approach measuring N species dissolved in the water (total N, nitrate, nitrite, ammonium) using time proportional automated samplers placed at inlet and outlet of the biofilters. Nitrous oxide emissions were measured every third week both as gaseous form at the surface of the biofilters (closed chamber technique and gas chromatography) and in dissolved form in the water phase at inlet and outlet of the biofilters (headspace technique and gas chromatography). We take advantage of this unique dataset to identify the factors enabling to maximize N removal while minimizing N2O emissions. Furthermore, we make a first assessment of the potential impact of the increasing number of biofilters on N2O emissions in agricultural landscapes.
How to cite: Audet, J., Zak, D., and Hoffmann, C. C.: Nitrogen removal and nitrous oxide emissions in woodchips biofilters treating agricultural drainage waters, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3318, https://doi.org/10.5194/egusphere-egu2020-3318, 2020.
Eutrophication of aquatic ecosystems provoked by excess nitrogen (N) concentration is still a major concern worldwide with severe consequences such as hypoxia, biodiversity loss, and degradation of drinking water quality. To face these challenges, a novel N mitigation measure has emerged in the last decades consisting of biofilters made of woodchips. Drainage water from agricultural areas infiltrate through a layer of woodchips before it discharges to an aquatic recipient such as a ditch or a stream. The goal with this technique is to provide optimal conditions for denitrification i.e. an easy degradable carbon source (the woodchips) and an anaerobic environment. There is, however, some concerns regarding the emissions of the greenhouse gas nitrous oxide (N2O) which can be a by-product of denitrification.
Here, we present results on N removal and N2O emissions from 9 biofilters differing in age (1–8 years) and representing a total of 18 years of monitoring. The biofilters were all located in agricultural catchments in Denmark (temperate climate conditions). Nitrogen removal in the biofilters was estimated using a mass balance approach measuring N species dissolved in the water (total N, nitrate, nitrite, ammonium) using time proportional automated samplers placed at inlet and outlet of the biofilters. Nitrous oxide emissions were measured every third week both as gaseous form at the surface of the biofilters (closed chamber technique and gas chromatography) and in dissolved form in the water phase at inlet and outlet of the biofilters (headspace technique and gas chromatography). We take advantage of this unique dataset to identify the factors enabling to maximize N removal while minimizing N2O emissions. Furthermore, we make a first assessment of the potential impact of the increasing number of biofilters on N2O emissions in agricultural landscapes.
How to cite: Audet, J., Zak, D., and Hoffmann, C. C.: Nitrogen removal and nitrous oxide emissions in woodchips biofilters treating agricultural drainage waters, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3318, https://doi.org/10.5194/egusphere-egu2020-3318, 2020.
EGU2020-5396 | Displays | BG1.2
Validation of satellite-constrained ammonia using a CTM and ground and satellite measurementsNikolaos Evangeliou, Yves Balkanski, Sabine Eckhardt, Didier Hauglustaine, Anne Cozic, and Andreas Stohl
Ammonia (NH3) has received a lot of attention nowadays due to its major implications for the population and the environment. Global sources of ammonia include wild animals, ammonia-containing water areas, traffic, sewage systems, humans, biomass burning (mainly from dung fires and domestic coal combustion), volcanic eruptions and agriculture. In the present study, we used 10 years (2008–2017) of satellite measurements of ammonia retrieved from the Infrared Atmospheric Sounding Interferometer (IASI) to calculate surface emissions. In contrast to other methods, we first used a sophisticated Inverse Distance Weighting (IDW) interpolation algorithm to define a grid of column-integrated ammonia concentrations globally. In a hypothetical box model, emissions are given as a function of the mass of ammonia in each atmospheric box (in molecules cm-3) divided by the lifetime of ammonia in the box (in seconds) based on all the potential removal processes that affect atmospheric ammonia. Instead of considering the lifetime of ammonia as a constant value, such as in the relevant literature, we used calculated gridded lifetimes from a Chemistry Transport Model (CTM). The estimated emissions were then imported in a CTM and were simulated for the same 10–year period. To verify the improvement of the calculated emissions of ammonia, we evaluated the modelled surface concentrations against ground–based measurements from different monitoring stations. The same comparison was performed for the most recent state–of–the–art emission dataset for ammonia.
How to cite: Evangeliou, N., Balkanski, Y., Eckhardt, S., Hauglustaine, D., Cozic, A., and Stohl, A.: Validation of satellite-constrained ammonia using a CTM and ground and satellite measurements, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5396, https://doi.org/10.5194/egusphere-egu2020-5396, 2020.
Ammonia (NH3) has received a lot of attention nowadays due to its major implications for the population and the environment. Global sources of ammonia include wild animals, ammonia-containing water areas, traffic, sewage systems, humans, biomass burning (mainly from dung fires and domestic coal combustion), volcanic eruptions and agriculture. In the present study, we used 10 years (2008–2017) of satellite measurements of ammonia retrieved from the Infrared Atmospheric Sounding Interferometer (IASI) to calculate surface emissions. In contrast to other methods, we first used a sophisticated Inverse Distance Weighting (IDW) interpolation algorithm to define a grid of column-integrated ammonia concentrations globally. In a hypothetical box model, emissions are given as a function of the mass of ammonia in each atmospheric box (in molecules cm-3) divided by the lifetime of ammonia in the box (in seconds) based on all the potential removal processes that affect atmospheric ammonia. Instead of considering the lifetime of ammonia as a constant value, such as in the relevant literature, we used calculated gridded lifetimes from a Chemistry Transport Model (CTM). The estimated emissions were then imported in a CTM and were simulated for the same 10–year period. To verify the improvement of the calculated emissions of ammonia, we evaluated the modelled surface concentrations against ground–based measurements from different monitoring stations. The same comparison was performed for the most recent state–of–the–art emission dataset for ammonia.
How to cite: Evangeliou, N., Balkanski, Y., Eckhardt, S., Hauglustaine, D., Cozic, A., and Stohl, A.: Validation of satellite-constrained ammonia using a CTM and ground and satellite measurements, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5396, https://doi.org/10.5194/egusphere-egu2020-5396, 2020.
EGU2020-397 | Displays | BG1.2
Emissions of nitrous acid (HONO) and nitric oxide (NO) from soils and its impact on air quality in ShanghaiMengdi Wang, Jingwei Zhang, Junling An, Feng Zhou, Xiuying Zhang, Ruhai Wang, Lingling Deng, Lijun Hou, Min Liu, and Dianming Wu
Gaseous nitrous acid (HONO) and nitric oxide (NO) play a significant role in atmospheric chemistry through the contribution to the hydroxyl radical (OH) and influencing atmospheric oxidization capacity. Soil HONO emissions are considered as a major source of atmospheric HONO. However, soil HONO emissions and their contribution to air quality are rarely quantified. In this study, HONO and NO emissions from cropland, forest, urban green land, and grassland soils in Shanghai were measured by a dynamic chamber system under controlled laboratory conditions. HONO and NO emissions at the optimal water content (10 - 40% of water holding capacity) were highest from forest soil (50.3 ± 30.1 and 70.4 ± 43.9 ng m-2 s-1; average ± standard error, respectively), following by cropland soil (48.6 ± 17.4 and 55.8 ± 23.1 ng m-2 s-1, respectively), urban green land soil (44.2 ± 9.5 and 39.3 ± 13.3ng m-2 s-1, respectively), and grassland soil (27.7 ± 15.6 and 18.4 ± 6.9 ng m-2 s-1, respectively). Correlation analysis showed that soil HONO and NO emissions were significantly related with nitrate, total nitrogen, and total carbon (P < 0.01). The total soil emissions of HONO and NO in Shanghai were estimated based on “wetting-drying method”, and then upscaling to China and global. Results showed that global NO emissions from natural and fertilized soils were ~ 4.5 and 2.6 Tg N yr-1, respectively, which are comparable with the results from IPCC report (2013). The estimated global HONO emissions from natural and fertilized soils were ~ 3.3 and 2.7 Tg N yr-1, respectively, while those were 0.12 and 0.35 Tg N yr-1 for China, and 0.01 and 0.33 Gg N yr-1 for Shanghai, respectively.
The impact of soil HONO emissions on atmospheric oxidation capacity and O3 concentrations in Shanghai were evaluated using the WRF-Chem model in March of 2016. Daytime HONO concentrations were increased by 0.036 ± 0.015 ppb after considering soil HONO emissions during typical wetting-drying days, and the contribution of HONO photolysis to OH radicals enhanced from 0.095 ppb h-1 to 0.22 ppb h-1 and was ~ 2 times the contribution of O3 photolysis (0.1 ppb h-1), leading to 0.5 - 1.0 ppb enhancement of 8h-O3. The sensitivity test showed that O3 enhancement caused by soil HONO emissions were larger (1.0-1.5 ppb) under low NOx (cutting down 50%) conditions compared with the current conditions, implies that the importance of soil HONO emissions could be even larger in future considering the on-going NOx reducing management in China.
How to cite: Wang, M., Zhang, J., An, J., Zhou, F., Zhang, X., Wang, R., Deng, L., Hou, L., Liu, M., and Wu, D.: Emissions of nitrous acid (HONO) and nitric oxide (NO) from soils and its impact on air quality in Shanghai, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-397, https://doi.org/10.5194/egusphere-egu2020-397, 2020.
Gaseous nitrous acid (HONO) and nitric oxide (NO) play a significant role in atmospheric chemistry through the contribution to the hydroxyl radical (OH) and influencing atmospheric oxidization capacity. Soil HONO emissions are considered as a major source of atmospheric HONO. However, soil HONO emissions and their contribution to air quality are rarely quantified. In this study, HONO and NO emissions from cropland, forest, urban green land, and grassland soils in Shanghai were measured by a dynamic chamber system under controlled laboratory conditions. HONO and NO emissions at the optimal water content (10 - 40% of water holding capacity) were highest from forest soil (50.3 ± 30.1 and 70.4 ± 43.9 ng m-2 s-1; average ± standard error, respectively), following by cropland soil (48.6 ± 17.4 and 55.8 ± 23.1 ng m-2 s-1, respectively), urban green land soil (44.2 ± 9.5 and 39.3 ± 13.3ng m-2 s-1, respectively), and grassland soil (27.7 ± 15.6 and 18.4 ± 6.9 ng m-2 s-1, respectively). Correlation analysis showed that soil HONO and NO emissions were significantly related with nitrate, total nitrogen, and total carbon (P < 0.01). The total soil emissions of HONO and NO in Shanghai were estimated based on “wetting-drying method”, and then upscaling to China and global. Results showed that global NO emissions from natural and fertilized soils were ~ 4.5 and 2.6 Tg N yr-1, respectively, which are comparable with the results from IPCC report (2013). The estimated global HONO emissions from natural and fertilized soils were ~ 3.3 and 2.7 Tg N yr-1, respectively, while those were 0.12 and 0.35 Tg N yr-1 for China, and 0.01 and 0.33 Gg N yr-1 for Shanghai, respectively.
The impact of soil HONO emissions on atmospheric oxidation capacity and O3 concentrations in Shanghai were evaluated using the WRF-Chem model in March of 2016. Daytime HONO concentrations were increased by 0.036 ± 0.015 ppb after considering soil HONO emissions during typical wetting-drying days, and the contribution of HONO photolysis to OH radicals enhanced from 0.095 ppb h-1 to 0.22 ppb h-1 and was ~ 2 times the contribution of O3 photolysis (0.1 ppb h-1), leading to 0.5 - 1.0 ppb enhancement of 8h-O3. The sensitivity test showed that O3 enhancement caused by soil HONO emissions were larger (1.0-1.5 ppb) under low NOx (cutting down 50%) conditions compared with the current conditions, implies that the importance of soil HONO emissions could be even larger in future considering the on-going NOx reducing management in China.
How to cite: Wang, M., Zhang, J., An, J., Zhou, F., Zhang, X., Wang, R., Deng, L., Hou, L., Liu, M., and Wu, D.: Emissions of nitrous acid (HONO) and nitric oxide (NO) from soils and its impact on air quality in Shanghai, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-397, https://doi.org/10.5194/egusphere-egu2020-397, 2020.
EGU2020-2345 | Displays | BG1.2
The Effect of Cultivation on the Greenhouse Gases Emissions in wujiang river Basin, Yangtze River, Chinaxiaoling wu
Climate change has gained extensive international attention due to the impacts on the regional agriculture and water supply. According to IPCC, the global mean temperature will increase by 0.3-0.8 centigrade. Greenhouse gases such as CO2, CH4, and N2O will concentrate and global mean temperature are projected to be increasing. This study separately examines the Greenhouse gases effect arise from different tillage type (dry land and paddy crop) in Wujiang river basin using DeNitrification - DeComposition (DNDC) model. The simulations indicate that, the atmospheric CO2 and CH4 concentration increases with the paddy crop plants. Although between two irrigation periods, the field drying event can decrease the CH4 production effectively. In addition, the paddy soils in this region tend to increase the effect of carbon source resulted from the flooding irrigation. Especially in the first flood irrigation period, the N2O increases to the maximum value. By contrast, in crop land under rotation of rape and Maize, the effect of carbon sink induced from CO2 fertilization could generally offset the effect of carbon source. Meanwhile, the effect of carbon sink increased resulted by the plant grows. Thus, the production of CO2 is always negative. There is no CH4 production in crop land under rotation of rape and Maize. By contrast, with fertilization input, the N2O production increases from 0.05 kg C/kg to 0.5kg N/ha/day. The SOC from the top soils (0-10 cm) to bottom (40-50 cm) decreases from 0.021 kg C/kg to 0.014 kg C/kg in either dry land and paddy soils of the Wujiang River region from 1991 to 1994, respectively. These results suggest that SOC storage in paddy and dry land of this region is steady. For the dry land crop (rotation of rape and Maize), the N2O increased with the fertilization. But for the paddy soils, the irrigation time is the key point period for greenhouse gases production and the variation of carbon and nitrogen in soil. As a representative of paddy crop and dry land crop (rotation of rape and Maize) in western China, the insights gained from the Wujiang River basin may be potentially transferable to other similar agricultural practices in other part of China.
How to cite: wu, X.: The Effect of Cultivation on the Greenhouse Gases Emissions in wujiang river Basin, Yangtze River, China, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2345, https://doi.org/10.5194/egusphere-egu2020-2345, 2020.
Climate change has gained extensive international attention due to the impacts on the regional agriculture and water supply. According to IPCC, the global mean temperature will increase by 0.3-0.8 centigrade. Greenhouse gases such as CO2, CH4, and N2O will concentrate and global mean temperature are projected to be increasing. This study separately examines the Greenhouse gases effect arise from different tillage type (dry land and paddy crop) in Wujiang river basin using DeNitrification - DeComposition (DNDC) model. The simulations indicate that, the atmospheric CO2 and CH4 concentration increases with the paddy crop plants. Although between two irrigation periods, the field drying event can decrease the CH4 production effectively. In addition, the paddy soils in this region tend to increase the effect of carbon source resulted from the flooding irrigation. Especially in the first flood irrigation period, the N2O increases to the maximum value. By contrast, in crop land under rotation of rape and Maize, the effect of carbon sink induced from CO2 fertilization could generally offset the effect of carbon source. Meanwhile, the effect of carbon sink increased resulted by the plant grows. Thus, the production of CO2 is always negative. There is no CH4 production in crop land under rotation of rape and Maize. By contrast, with fertilization input, the N2O production increases from 0.05 kg C/kg to 0.5kg N/ha/day. The SOC from the top soils (0-10 cm) to bottom (40-50 cm) decreases from 0.021 kg C/kg to 0.014 kg C/kg in either dry land and paddy soils of the Wujiang River region from 1991 to 1994, respectively. These results suggest that SOC storage in paddy and dry land of this region is steady. For the dry land crop (rotation of rape and Maize), the N2O increased with the fertilization. But for the paddy soils, the irrigation time is the key point period for greenhouse gases production and the variation of carbon and nitrogen in soil. As a representative of paddy crop and dry land crop (rotation of rape and Maize) in western China, the insights gained from the Wujiang River basin may be potentially transferable to other similar agricultural practices in other part of China.
How to cite: wu, X.: The Effect of Cultivation on the Greenhouse Gases Emissions in wujiang river Basin, Yangtze River, China, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2345, https://doi.org/10.5194/egusphere-egu2020-2345, 2020.
EGU2020-10069 | Displays | BG1.2
Ecosystem scale evidence for the contribution of vanadium-based nitrogenase to biological nitrogen fixationJean-Philippe Bellenger, Romain Darnajoux, Nicolas Magain, Marie Renaudin, Francois Lutzoni, and Xinning Zhang
Nitrogen is the primary limiting nutrient in high latitude ecosystems. Biological nitrogen fixation (BNF) by microorganisms associated with cryptogamic covers, such as cyanolichens and bryophytes, is an important source of new reactive nitrogen in pristine, high-latitude ecosystems. BNF is catalyzed by the enzyme nitrogenase, for which three isoforms have been described; the canonical molybdenum (Mo) nitrogenase which requires Mo in its active site and two alternative nitrogenases, the vanadium and iron-only nitrogenases. The low availability of Mo on land has been shown to limit BNF in many ecosystems from the tropical forest to the arctic tundra. Alternative nitrogenases have been suggested as viable alternatives to cope with Mo limitation of BNF, however, field data supporting this long-standing hypothesis have been lacking.
Here, we elucidated the contribution of the vanadium nitrogenase to BNF by cyanolichens across a 600 km latitudinal transect in eastern Canadian boreal forests. We report a widespread activity of the vanadium nitrogenase which contributed between 15 to 50% of total BNF rates on all sites. Vanadium nitrogenase contribution to BNF was more robust in the northern part of the transect. Vanadium nitrogenase contribution to BNF also changed during the growing season, with a three-fold increase between the early (May) and late (September) growing season. By including the contribution of the vanadium nitrogenase to BNF, estimates of new N input by cyanolichens increase by up to 30%, a significant change in these low N input ecosystems. Finally, we found that Mo availability was the primary driver for the contribution of the vanadium nitrogenase to BNF with a Mo threshold of ~ 250 ng.glichen-1 for the onset of vanadium based BNF.
This study on N2-fixing cyanolichens provides extensive field evidence, at an ecosystem scale, that vanadium-based nitrogenase greatly contributes to BNF when Mo availability is limited. The results showcase the resilience of BNF to micronutrient limitation and reveal a strong link between the biogeochemical cycle of macro- and micronutrients in terrestrial ecosystems. Given widespread findings of Mo limitation of BNF in terrestrial ecosystems, additional consideration of vanadium-based BNF is required in experimental and modeling studies of terrestrial biogeochemistry.
How to cite: Bellenger, J.-P., Darnajoux, R., Magain, N., Renaudin, M., Lutzoni, F., and Zhang, X.: Ecosystem scale evidence for the contribution of vanadium-based nitrogenase to biological nitrogen fixation, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10069, https://doi.org/10.5194/egusphere-egu2020-10069, 2020.
Nitrogen is the primary limiting nutrient in high latitude ecosystems. Biological nitrogen fixation (BNF) by microorganisms associated with cryptogamic covers, such as cyanolichens and bryophytes, is an important source of new reactive nitrogen in pristine, high-latitude ecosystems. BNF is catalyzed by the enzyme nitrogenase, for which three isoforms have been described; the canonical molybdenum (Mo) nitrogenase which requires Mo in its active site and two alternative nitrogenases, the vanadium and iron-only nitrogenases. The low availability of Mo on land has been shown to limit BNF in many ecosystems from the tropical forest to the arctic tundra. Alternative nitrogenases have been suggested as viable alternatives to cope with Mo limitation of BNF, however, field data supporting this long-standing hypothesis have been lacking.
Here, we elucidated the contribution of the vanadium nitrogenase to BNF by cyanolichens across a 600 km latitudinal transect in eastern Canadian boreal forests. We report a widespread activity of the vanadium nitrogenase which contributed between 15 to 50% of total BNF rates on all sites. Vanadium nitrogenase contribution to BNF was more robust in the northern part of the transect. Vanadium nitrogenase contribution to BNF also changed during the growing season, with a three-fold increase between the early (May) and late (September) growing season. By including the contribution of the vanadium nitrogenase to BNF, estimates of new N input by cyanolichens increase by up to 30%, a significant change in these low N input ecosystems. Finally, we found that Mo availability was the primary driver for the contribution of the vanadium nitrogenase to BNF with a Mo threshold of ~ 250 ng.glichen-1 for the onset of vanadium based BNF.
This study on N2-fixing cyanolichens provides extensive field evidence, at an ecosystem scale, that vanadium-based nitrogenase greatly contributes to BNF when Mo availability is limited. The results showcase the resilience of BNF to micronutrient limitation and reveal a strong link between the biogeochemical cycle of macro- and micronutrients in terrestrial ecosystems. Given widespread findings of Mo limitation of BNF in terrestrial ecosystems, additional consideration of vanadium-based BNF is required in experimental and modeling studies of terrestrial biogeochemistry.
How to cite: Bellenger, J.-P., Darnajoux, R., Magain, N., Renaudin, M., Lutzoni, F., and Zhang, X.: Ecosystem scale evidence for the contribution of vanadium-based nitrogenase to biological nitrogen fixation, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10069, https://doi.org/10.5194/egusphere-egu2020-10069, 2020.
EGU2020-8678 | Displays | BG1.2
Early response of biological nitrogen fixation in a mature oak dominated forest to elevated atmospheric CO2 fumigation at BIFoR-FACESami Ullah, Ernesto Saiz Val, Fotis Sgouridis, and Falko Drijfhout
Elevated atmospheric carbon dioxide concentrations are stimulating photosynthesis and carbon sequestration. However, the extent of photosynthetic stimulation in forests under future climates is highly uncertain given that nutrient limitation in soils may constrain the CO2 fertilization effect. The Birmingham Institute of Forest Research (BIFoR), University of Birmingham established the only global mature temperate deciduous forests Free Air Carbon Dioxide Enrichment (FACE) experiment to study the response of forests to future climates. Fumigation of the forest with ~550 ppm CO2 started in 2017 and will continue until at least 2026. Soil nutrients cycling including nitrogen transformation in response to elevated atmospheric CO2 (eCO2) fumigation is currently investigated to determine the role of nutrient availability in carbon capture by forests. In this paper, we show preliminary results of the response of asymbiotic biological nitrogen fixation (BNF) in soils and epiphytic bryophytes at BIFoR-FACE following a year of eCO2 fumigation. It is hypothesized that the demand for available nitrogen by trees will increase under eCO2 and that competition of roots and soil microbes for available nitrogen will enhance asymbiotic BNF to at least meet microbial metabolic nitrogen demands in the long run. Surface soils (0-5 cm) and epiphytic feather moss (Hypnum cupressiforme) growing on oak tree stems in the FACE site were collected during the second year of eCO2 fumigation for the quantification of BNF activity using the 15N2 assimilation methods (Saiz et al. 2019). Samples were incubated in 50 mL serum bottles under in situ conditions, followed by the analysis of soil and tissue samples for 15N signature on an Isotope Ratio Mass Spectrometer for the quantification of BNF activity.
The BNF activity under eCO2 were 369% higher than in soils under ambient atmospheric CO2. BNF rates associated with feather mosses (Hypnum cupressiforme) did not differ between the eCO2 and control plots; however, rates under eCO2 on average were 60% lower than in the control plots. Unlike soils, the moisture of feather mosses correlated significantly (R2 = 51%) with BNF activity. Among nutrients in soil with implications for BNF activity, the concentrations of Mg, K, Co and Ni were significantly lower in soils under eCO2 than in the control plots, while in feather moss tissues no differences were observed. Our preliminary results show that eCO2 fumigation primed asymbiotic BNF activity in soils. An enhancement of BNF together with the observation of a relatively low nutrient content under eCO2 points to important changes in nitrogen cycling processes in the early years of CO2 fumigation. Further detailed studies are underway to fully disentangle controls on nitrogen availability to trees under future climates.
Reference
Saiz, E, Sgouridis, F, Drifjhout, F & Ullah, S. 2019. Biological nitrogen fixation in peatlands: comparison between acetylene reduction assay and 15N2 assimilation methods. Soil Biol. Biochem:131:157-165
How to cite: Ullah, S., Saiz Val, E., Sgouridis, F., and Drijfhout, F.: Early response of biological nitrogen fixation in a mature oak dominated forest to elevated atmospheric CO2 fumigation at BIFoR-FACE , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8678, https://doi.org/10.5194/egusphere-egu2020-8678, 2020.
Elevated atmospheric carbon dioxide concentrations are stimulating photosynthesis and carbon sequestration. However, the extent of photosynthetic stimulation in forests under future climates is highly uncertain given that nutrient limitation in soils may constrain the CO2 fertilization effect. The Birmingham Institute of Forest Research (BIFoR), University of Birmingham established the only global mature temperate deciduous forests Free Air Carbon Dioxide Enrichment (FACE) experiment to study the response of forests to future climates. Fumigation of the forest with ~550 ppm CO2 started in 2017 and will continue until at least 2026. Soil nutrients cycling including nitrogen transformation in response to elevated atmospheric CO2 (eCO2) fumigation is currently investigated to determine the role of nutrient availability in carbon capture by forests. In this paper, we show preliminary results of the response of asymbiotic biological nitrogen fixation (BNF) in soils and epiphytic bryophytes at BIFoR-FACE following a year of eCO2 fumigation. It is hypothesized that the demand for available nitrogen by trees will increase under eCO2 and that competition of roots and soil microbes for available nitrogen will enhance asymbiotic BNF to at least meet microbial metabolic nitrogen demands in the long run. Surface soils (0-5 cm) and epiphytic feather moss (Hypnum cupressiforme) growing on oak tree stems in the FACE site were collected during the second year of eCO2 fumigation for the quantification of BNF activity using the 15N2 assimilation methods (Saiz et al. 2019). Samples were incubated in 50 mL serum bottles under in situ conditions, followed by the analysis of soil and tissue samples for 15N signature on an Isotope Ratio Mass Spectrometer for the quantification of BNF activity.
The BNF activity under eCO2 were 369% higher than in soils under ambient atmospheric CO2. BNF rates associated with feather mosses (Hypnum cupressiforme) did not differ between the eCO2 and control plots; however, rates under eCO2 on average were 60% lower than in the control plots. Unlike soils, the moisture of feather mosses correlated significantly (R2 = 51%) with BNF activity. Among nutrients in soil with implications for BNF activity, the concentrations of Mg, K, Co and Ni were significantly lower in soils under eCO2 than in the control plots, while in feather moss tissues no differences were observed. Our preliminary results show that eCO2 fumigation primed asymbiotic BNF activity in soils. An enhancement of BNF together with the observation of a relatively low nutrient content under eCO2 points to important changes in nitrogen cycling processes in the early years of CO2 fumigation. Further detailed studies are underway to fully disentangle controls on nitrogen availability to trees under future climates.
Reference
Saiz, E, Sgouridis, F, Drifjhout, F & Ullah, S. 2019. Biological nitrogen fixation in peatlands: comparison between acetylene reduction assay and 15N2 assimilation methods. Soil Biol. Biochem:131:157-165
How to cite: Ullah, S., Saiz Val, E., Sgouridis, F., and Drijfhout, F.: Early response of biological nitrogen fixation in a mature oak dominated forest to elevated atmospheric CO2 fumigation at BIFoR-FACE , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8678, https://doi.org/10.5194/egusphere-egu2020-8678, 2020.
EGU2020-15899 | Displays | BG1.2
Stimulation of soil N cycling after two years of Free Air CO2 Enrichment increases nitrous oxide emissions in a temperate forest, UK.Fotis Sgouridis, Suparat Cotchim, and Sami Ullah
Increasing atmospheric CO2 concentrations in temperate forests may affect soil nitrogen (N) cycling processes due to the increased demand for nitrogen availability by trees to support CO2 uptake through photosynthesis. This in turn can affect the emission of nitrous oxide (N2O) from the forest soil leading to a potential trade-off between the enhanced canopy CO2 uptake and soil N2O emission. The Birmingham Institute of Forest Research (BIFoR) established a Free-Air CO2 Enrichment (FACE) facility in a mature oak forest in Staffordshire, UK, which became operational in 2017. In April 2018 and again in May 2019, two years after the start of fumigation with 550 ppm CO2, we collected soil samples (0 – 15 cm depth) from the three elevated CO2 (eCO2) and three control plots. Soils were amended in the laboratory with 98 at % 15N-NH4+ and 15N-NO3- . Gross N mineralisation and nitrification were estimated by the isotope dilution technique, while N2O emission from nitrification (15N-NH4+ treatment) and denitrification (15N-NO3- treatment) were estimated by the 15N Gas-Flux method. Additionally, C/N ratio and δ15N and δ13C were measured in unamended eCO2 and control samples via EA-IRMS. Whilst gross N mineralisation and N2O emission were only marginally higher in eCO2 plots compared to controls after one year of fumigation, there was a significant stimulation of N cycling after the second year that led to more pronounced differences. Gross N mineralisation rates doubled in the eCO2 plots (mean: 4.09 μg N g-1 d-1, P < 0.05) compared to the control plots (mean: 2.02 μg N g-1 d-1), while a similar twofold increase was observed for gross nitrification rates (mean eCO2: 1.63 μg N g-1 d-1; mean control: 0.70 μg N g-1 d-1, P < 0.05). N2O emission from both denitrification (mean: 0.03 ng N g-1 d-1) and nitrification (mean: 0.02 ng N g-1 d-1) were generally low but of similar magnitude and more than double than in the control plots. C/N ratio was conservative between eCO2 and control plots as a result of proportional increase of C and N contents in the eCO2 plots. The observed stimulation in N cycling was further corroborated by the significantly enriched δ15N signal (-0.66 ‰) in eCO2 plots compared to the controls (-1.38‰). Moreover, the eCO2 samples had a more depleted δ13C signal (-28.37 ‰) compared to the controls (-27.99 ‰), as a result of the additional carbon supplied through fumigation (CO2 δ13C ~ -28 ‰). Following the first year of CO2 fumigation, there were indications of soil N limitation despite the high rates of atmospheric N deposition (22 kg N ha-1 y-1). However, after only 2 years of the FACE experiment there is strong evidence of a shift in key soil N processes to sustain the enhanced nutrient demands to support enhanced canopy CO2 uptake. Further research is underway in BiFOR-FACE to elucidate whether carbon quantity and/or quality drives the stimulation of soil N cycling and what are the long-term implications of the trade-off between enhanced CO2 sequestration and a potential increase in N2O emissions.
How to cite: Sgouridis, F., Cotchim, S., and Ullah, S.: Stimulation of soil N cycling after two years of Free Air CO2 Enrichment increases nitrous oxide emissions in a temperate forest, UK., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-15899, https://doi.org/10.5194/egusphere-egu2020-15899, 2020.
Increasing atmospheric CO2 concentrations in temperate forests may affect soil nitrogen (N) cycling processes due to the increased demand for nitrogen availability by trees to support CO2 uptake through photosynthesis. This in turn can affect the emission of nitrous oxide (N2O) from the forest soil leading to a potential trade-off between the enhanced canopy CO2 uptake and soil N2O emission. The Birmingham Institute of Forest Research (BIFoR) established a Free-Air CO2 Enrichment (FACE) facility in a mature oak forest in Staffordshire, UK, which became operational in 2017. In April 2018 and again in May 2019, two years after the start of fumigation with 550 ppm CO2, we collected soil samples (0 – 15 cm depth) from the three elevated CO2 (eCO2) and three control plots. Soils were amended in the laboratory with 98 at % 15N-NH4+ and 15N-NO3- . Gross N mineralisation and nitrification were estimated by the isotope dilution technique, while N2O emission from nitrification (15N-NH4+ treatment) and denitrification (15N-NO3- treatment) were estimated by the 15N Gas-Flux method. Additionally, C/N ratio and δ15N and δ13C were measured in unamended eCO2 and control samples via EA-IRMS. Whilst gross N mineralisation and N2O emission were only marginally higher in eCO2 plots compared to controls after one year of fumigation, there was a significant stimulation of N cycling after the second year that led to more pronounced differences. Gross N mineralisation rates doubled in the eCO2 plots (mean: 4.09 μg N g-1 d-1, P < 0.05) compared to the control plots (mean: 2.02 μg N g-1 d-1), while a similar twofold increase was observed for gross nitrification rates (mean eCO2: 1.63 μg N g-1 d-1; mean control: 0.70 μg N g-1 d-1, P < 0.05). N2O emission from both denitrification (mean: 0.03 ng N g-1 d-1) and nitrification (mean: 0.02 ng N g-1 d-1) were generally low but of similar magnitude and more than double than in the control plots. C/N ratio was conservative between eCO2 and control plots as a result of proportional increase of C and N contents in the eCO2 plots. The observed stimulation in N cycling was further corroborated by the significantly enriched δ15N signal (-0.66 ‰) in eCO2 plots compared to the controls (-1.38‰). Moreover, the eCO2 samples had a more depleted δ13C signal (-28.37 ‰) compared to the controls (-27.99 ‰), as a result of the additional carbon supplied through fumigation (CO2 δ13C ~ -28 ‰). Following the first year of CO2 fumigation, there were indications of soil N limitation despite the high rates of atmospheric N deposition (22 kg N ha-1 y-1). However, after only 2 years of the FACE experiment there is strong evidence of a shift in key soil N processes to sustain the enhanced nutrient demands to support enhanced canopy CO2 uptake. Further research is underway in BiFOR-FACE to elucidate whether carbon quantity and/or quality drives the stimulation of soil N cycling and what are the long-term implications of the trade-off between enhanced CO2 sequestration and a potential increase in N2O emissions.
How to cite: Sgouridis, F., Cotchim, S., and Ullah, S.: Stimulation of soil N cycling after two years of Free Air CO2 Enrichment increases nitrous oxide emissions in a temperate forest, UK., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-15899, https://doi.org/10.5194/egusphere-egu2020-15899, 2020.
EGU2020-13067 | Displays | BG1.2
Fate of atmospheric nitrogen depositions in two Italian temperate mountain forests assessed by isotopic analysisLuca Da Ros, Maurizio Ventura, Mirco Rodeghiero, Damiano Gianelle, and Giustino Tonon
Abstract. Forests ability to store carbon is strongly connected with the amount of nitrogen (N) that forest ecosystems can retain; N is indeed considered the most limiting nutrient for terrestrial ecosystem's net primary productivity. Since the industrial revolution, human activities have more than doubled the rate of N input into the nitrogen cycle and this could alleviate N limitation thus stimulating plant growth. However, it has been suggested that when N availability exceeds biotic demand and abiotic sinks, additional N can trigger a negative cascade effect: nutrient imbalance, reduced productivity, increased losses of N, eutrophication and acidification of soil and water, leading toward forest decline and net greenhouse gases emissions. The consequences of increased N deposition on forest depend in large share on the fate of N in the ecosystem, which can be simulated and quantified by a fertilization at a known isotopic signature. Nevertheless, most of the tracer experiments performed so far added the fertilizer directly to the forest floor, neglecting the potential role of N uptake by the forest canopy. In the Italian Alps, we are conducting an experiment where both types of N additions (above and below the canopy layer) are performed in two different forest stands, to understand if canopy fertilization better simulates ecological consequences of increased atmospheric N deposition. These field-scale manipulation experiments are willing to test two different hypotheses: i) the N uptake by trees in the above-canopy N addition experimental sites is higher than under-canopy N addition ii) forest growth rate varies with the type of treatment. To describe the fate of the applied N, stable isotope techniques have been adopted: the forest sites, fertilized with NH4NO3 at a known isotopic signature, are sampled for all the ecosystem components (plant, soil and water) periodically to determine the total N content and its isotopic signature. The δ15N values permit to calculate the recovery of N-fertilizer in tree tissues, soil and leaching-water, allowing us to understand how N allocation varies under these two fertilization strategies and how this affects C sequestration potential. Results regarding the short-term effects over the first 6 years of data collection will be presented.
How to cite: Da Ros, L., Ventura, M., Rodeghiero, M., Gianelle, D., and Tonon, G.: Fate of atmospheric nitrogen depositions in two Italian temperate mountain forests assessed by isotopic analysis, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13067, https://doi.org/10.5194/egusphere-egu2020-13067, 2020.
Abstract. Forests ability to store carbon is strongly connected with the amount of nitrogen (N) that forest ecosystems can retain; N is indeed considered the most limiting nutrient for terrestrial ecosystem's net primary productivity. Since the industrial revolution, human activities have more than doubled the rate of N input into the nitrogen cycle and this could alleviate N limitation thus stimulating plant growth. However, it has been suggested that when N availability exceeds biotic demand and abiotic sinks, additional N can trigger a negative cascade effect: nutrient imbalance, reduced productivity, increased losses of N, eutrophication and acidification of soil and water, leading toward forest decline and net greenhouse gases emissions. The consequences of increased N deposition on forest depend in large share on the fate of N in the ecosystem, which can be simulated and quantified by a fertilization at a known isotopic signature. Nevertheless, most of the tracer experiments performed so far added the fertilizer directly to the forest floor, neglecting the potential role of N uptake by the forest canopy. In the Italian Alps, we are conducting an experiment where both types of N additions (above and below the canopy layer) are performed in two different forest stands, to understand if canopy fertilization better simulates ecological consequences of increased atmospheric N deposition. These field-scale manipulation experiments are willing to test two different hypotheses: i) the N uptake by trees in the above-canopy N addition experimental sites is higher than under-canopy N addition ii) forest growth rate varies with the type of treatment. To describe the fate of the applied N, stable isotope techniques have been adopted: the forest sites, fertilized with NH4NO3 at a known isotopic signature, are sampled for all the ecosystem components (plant, soil and water) periodically to determine the total N content and its isotopic signature. The δ15N values permit to calculate the recovery of N-fertilizer in tree tissues, soil and leaching-water, allowing us to understand how N allocation varies under these two fertilization strategies and how this affects C sequestration potential. Results regarding the short-term effects over the first 6 years of data collection will be presented.
How to cite: Da Ros, L., Ventura, M., Rodeghiero, M., Gianelle, D., and Tonon, G.: Fate of atmospheric nitrogen depositions in two Italian temperate mountain forests assessed by isotopic analysis, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13067, https://doi.org/10.5194/egusphere-egu2020-13067, 2020.
EGU2020-17258 | Displays | BG1.2
Effects of nitrogen deposition on greenhouse gas fluxes from the soil: results from an innovative experimental designAnna Bortolazzi, Maurizio Ventura, Pietro Panzacchi, Flavio Fornasier, Claudio Mondini, and Giustino Tonon
In the last decades, the effects of nitrogen (N) deposition on temperate forests have received much interest. Studies recorded several changes in soil carbon (C) and N cycles due to extra reactive N available. For instance, past studies reported that N deposition, may influence CO2 emission, lower CH4 consumption by the soil and increase the emission of N2O. Nevertheless, the mechanistic understanding of these ecological responses is still far to be reached. However, most of the studies neglected to include the canopy interception in the experiments simulating N addition, notwithstanding tree canopy have shown to change both the amount and the chemical composition of the N deposition. Hence, experiments simulating this process by applying fertilization above the canopy are needed.
The aim of this study is to explore how N deposition influences greenhouse gas (GHG) emissions in a temperate oak forest (Quercus petraea Liebl.) located in Monticolo (Bolzano, Italy). In this site, a set of three plots was created and replicated three times. Each set includes a control plot, a plot with below-canopy fertilization (NBL) and a plot with above-canopy fertilization (NAB). The fertilization is applied, since 2015, from May to September, for a total annual N addition of 20 kg N ha-1.
Since April 2018, CO2 emission has been monthly measured with a portable infrared gas analyzer. Measurements were performed on three points per plot, for a total of 27 measurement points. During measurements, soil moisture and soil temperature at 10 cm depth were measured as well.
The measurements of CH4 and N2O started during the growing season in 2019 and are performed on a monthly basis by a static chamber method. Three chambers were installed per plots, for a total of 27 chambers.
We will present the preliminary results of this study. The results showed that the 5-year N fertilization did not lead to significant differences between plots in terms of GHG fluxes. The sensitivity of CO2 emission to temperature was not influenced by extra N. The differences were not significant between fertilized and unfertilized plots, nor between the two fertilization methods.
How to cite: Bortolazzi, A., Ventura, M., Panzacchi, P., Fornasier, F., Mondini, C., and Tonon, G.: Effects of nitrogen deposition on greenhouse gas fluxes from the soil: results from an innovative experimental design, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-17258, https://doi.org/10.5194/egusphere-egu2020-17258, 2020.
In the last decades, the effects of nitrogen (N) deposition on temperate forests have received much interest. Studies recorded several changes in soil carbon (C) and N cycles due to extra reactive N available. For instance, past studies reported that N deposition, may influence CO2 emission, lower CH4 consumption by the soil and increase the emission of N2O. Nevertheless, the mechanistic understanding of these ecological responses is still far to be reached. However, most of the studies neglected to include the canopy interception in the experiments simulating N addition, notwithstanding tree canopy have shown to change both the amount and the chemical composition of the N deposition. Hence, experiments simulating this process by applying fertilization above the canopy are needed.
The aim of this study is to explore how N deposition influences greenhouse gas (GHG) emissions in a temperate oak forest (Quercus petraea Liebl.) located in Monticolo (Bolzano, Italy). In this site, a set of three plots was created and replicated three times. Each set includes a control plot, a plot with below-canopy fertilization (NBL) and a plot with above-canopy fertilization (NAB). The fertilization is applied, since 2015, from May to September, for a total annual N addition of 20 kg N ha-1.
Since April 2018, CO2 emission has been monthly measured with a portable infrared gas analyzer. Measurements were performed on three points per plot, for a total of 27 measurement points. During measurements, soil moisture and soil temperature at 10 cm depth were measured as well.
The measurements of CH4 and N2O started during the growing season in 2019 and are performed on a monthly basis by a static chamber method. Three chambers were installed per plots, for a total of 27 chambers.
We will present the preliminary results of this study. The results showed that the 5-year N fertilization did not lead to significant differences between plots in terms of GHG fluxes. The sensitivity of CO2 emission to temperature was not influenced by extra N. The differences were not significant between fertilized and unfertilized plots, nor between the two fertilization methods.
How to cite: Bortolazzi, A., Ventura, M., Panzacchi, P., Fornasier, F., Mondini, C., and Tonon, G.: Effects of nitrogen deposition on greenhouse gas fluxes from the soil: results from an innovative experimental design, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-17258, https://doi.org/10.5194/egusphere-egu2020-17258, 2020.
EGU2020-12706 | Displays | BG1.2
Response of N2O and N2 Emissions in Forest Soils to Temperature Change across ChinaHaoming Yu, Yunting Fang, and Ronghua Kang
N2O and N2 Emissions from soil in terrestrial ecosystems is a crucial component of the global nitrogen (N) cycle. The response of these two gases emissions from forest soil to temperature change and its underlying mechanisms are essential for predicting N cycle to global warming. Despite the warming-induced effects on soil N cycle is considered to be positive in general, our understanding of temperature sensitivity (Q10) of N2O and N2 emissions is rather limited. We quantified the Q10 of N2O and N2 emissions in forest soils and explored their major driving factors by conducting an incubation experiment using 15N tracer (Na15NO3) with soil samples from nineteen forest sites from temperate to tropical zones. The environmental conditions largely varied: mean annual temperature (MAT) ranging from -5.4 to 21.5oC and mean annual precipitation (MAP) ranging from 300 to 2449 mm. The soil pH varied between 3.62 to 6.38. We incubated soil samples under an anaerobic condition with temperature from 5 to 35oC with an interval of 5oC for 12 or 24 hours, respectively. Soil temperature strongly affected the production of N2O and N2. N2O and N2 production rates showed a positive exponential relation with incubate time and temperature for all forest soils. Our results showed that the Q10 values ranged from 1.31 to 2.98 for N2O emission and 1.69 to 3.83 for N2 emission, indicating a generally positive feedback of N2O and N2 production to warming. Higher Q10 values for N2 than N2O implies that N2 emission is more sensitive to temperature increase. The N2O/(N2O+N2) decreased with increasing temperature in fifteen of nineteen forest soils, suggesting that warming accelerates N2 emission. Strong spatial variation in Q10 were also observed, with tropical forest soils exhibiting high Q10 values and relatively low Q10 in temperate forest soils. This variation is attributed to the inherent differences in N biogeochemical cycling behavior between the microbial communities among sites. Despite soil temperature primarily controls the N2O and N2 emissions, we explored the effects of other factors such as pH, C/N, DOC and related functional genes. In addition, we partitioned N2O and N2 emissions to different microbial processes (e.g., denitrification, co-denitrification and anammox). The results indicated that denitrification was the main pathway of N2O and N2 production under anaerobic environment and the contribution increased as temperature rise.
Key words: Temperature sensitivity, N2O, N2, Forest soil, Nitrogen cycle, Global warming, Denitrification
How to cite: Yu, H., Fang, Y., and Kang, R.: Response of N2O and N2 Emissions in Forest Soils to Temperature Change across China , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12706, https://doi.org/10.5194/egusphere-egu2020-12706, 2020.
N2O and N2 Emissions from soil in terrestrial ecosystems is a crucial component of the global nitrogen (N) cycle. The response of these two gases emissions from forest soil to temperature change and its underlying mechanisms are essential for predicting N cycle to global warming. Despite the warming-induced effects on soil N cycle is considered to be positive in general, our understanding of temperature sensitivity (Q10) of N2O and N2 emissions is rather limited. We quantified the Q10 of N2O and N2 emissions in forest soils and explored their major driving factors by conducting an incubation experiment using 15N tracer (Na15NO3) with soil samples from nineteen forest sites from temperate to tropical zones. The environmental conditions largely varied: mean annual temperature (MAT) ranging from -5.4 to 21.5oC and mean annual precipitation (MAP) ranging from 300 to 2449 mm. The soil pH varied between 3.62 to 6.38. We incubated soil samples under an anaerobic condition with temperature from 5 to 35oC with an interval of 5oC for 12 or 24 hours, respectively. Soil temperature strongly affected the production of N2O and N2. N2O and N2 production rates showed a positive exponential relation with incubate time and temperature for all forest soils. Our results showed that the Q10 values ranged from 1.31 to 2.98 for N2O emission and 1.69 to 3.83 for N2 emission, indicating a generally positive feedback of N2O and N2 production to warming. Higher Q10 values for N2 than N2O implies that N2 emission is more sensitive to temperature increase. The N2O/(N2O+N2) decreased with increasing temperature in fifteen of nineteen forest soils, suggesting that warming accelerates N2 emission. Strong spatial variation in Q10 were also observed, with tropical forest soils exhibiting high Q10 values and relatively low Q10 in temperate forest soils. This variation is attributed to the inherent differences in N biogeochemical cycling behavior between the microbial communities among sites. Despite soil temperature primarily controls the N2O and N2 emissions, we explored the effects of other factors such as pH, C/N, DOC and related functional genes. In addition, we partitioned N2O and N2 emissions to different microbial processes (e.g., denitrification, co-denitrification and anammox). The results indicated that denitrification was the main pathway of N2O and N2 production under anaerobic environment and the contribution increased as temperature rise.
Key words: Temperature sensitivity, N2O, N2, Forest soil, Nitrogen cycle, Global warming, Denitrification
How to cite: Yu, H., Fang, Y., and Kang, R.: Response of N2O and N2 Emissions in Forest Soils to Temperature Change across China , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12706, https://doi.org/10.5194/egusphere-egu2020-12706, 2020.
EGU2020-20450 | Displays | BG1.2
Response of N2O emissions to logging residue piles of Norway spruce, Scots pine and silver birchTiina Törmänen, Antti-Jussi Lindroos, Veikko Kitunen, and Aino Smolander
Utilization of forest bioenergy is increasing; however, the overall environmental impacts of forest bioenergy utilization are not fully understood. Especially effects on N2O emissions in mineral soils are less studied. With current harvesting practices, either whole-tree-harvest or stem-only-harvest, piles of logging residues are left on the forest floor. As a result, soil nitrogen (N) cycling processes can be accelerated on clear cut area under the piles, especially net nitrification. When N is transformed to more mobile form, the risk for N losses via nitrous oxide (N2O) emissions from the forest floor may increase.
We studied how logging residue piles of three tree species, Norway spruce (Picea abies (L.) Karst.), Scots pine (Pinus sylvestris L.) and silver birch (Betula pendula Roth.), influence gaseous losses of N after clear-cut. A Norway spruce dominated mixed stand on a mineral soil site was clear-cut and N2O emissions were monitored. There were four treatments; three tree species treatments consisting of 40 kg m-2 of fresh logging residues and control plot without residues as an additional treatment. Effects of logging residue piles on N2O emissions were monitored over 4 growing season with closed chamber technic. Simultaneously soil temperatures were recorded over 2 growing season. Soil denitrification activity and the contribution of nitrification and denitrification to N2O production were determined in laboratory experiments.
Logging residue piles lowered and balanced fluctuation of soil temperatures. N2O fluxes peaked under the piles during the second and third growing season after the establishment of the piles; however inconsistent fluxes tended to be low. The production of N2O was driven by both nitrification and denitrification processes, the proportion depending on the tree species. Our results indicate that logging residue piles accelerate N losses as gaseous form; however studies on the same field experiment shows that most of the N losses occur through soil percolation waters. Spruce residues tend to stimulate N2O emissions longer compared to other tree species. There was a positive correlation with net nitrification and microbial biomass C (Törmänen et al. 2018, FORECO). These results have implications for sustainable and productive forest management practices and nutrition of re-growing vegetation.
How to cite: Törmänen, T., Lindroos, A.-J., Kitunen, V., and Smolander, A.: Response of N2O emissions to logging residue piles of Norway spruce, Scots pine and silver birch , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20450, https://doi.org/10.5194/egusphere-egu2020-20450, 2020.
Utilization of forest bioenergy is increasing; however, the overall environmental impacts of forest bioenergy utilization are not fully understood. Especially effects on N2O emissions in mineral soils are less studied. With current harvesting practices, either whole-tree-harvest or stem-only-harvest, piles of logging residues are left on the forest floor. As a result, soil nitrogen (N) cycling processes can be accelerated on clear cut area under the piles, especially net nitrification. When N is transformed to more mobile form, the risk for N losses via nitrous oxide (N2O) emissions from the forest floor may increase.
We studied how logging residue piles of three tree species, Norway spruce (Picea abies (L.) Karst.), Scots pine (Pinus sylvestris L.) and silver birch (Betula pendula Roth.), influence gaseous losses of N after clear-cut. A Norway spruce dominated mixed stand on a mineral soil site was clear-cut and N2O emissions were monitored. There were four treatments; three tree species treatments consisting of 40 kg m-2 of fresh logging residues and control plot without residues as an additional treatment. Effects of logging residue piles on N2O emissions were monitored over 4 growing season with closed chamber technic. Simultaneously soil temperatures were recorded over 2 growing season. Soil denitrification activity and the contribution of nitrification and denitrification to N2O production were determined in laboratory experiments.
Logging residue piles lowered and balanced fluctuation of soil temperatures. N2O fluxes peaked under the piles during the second and third growing season after the establishment of the piles; however inconsistent fluxes tended to be low. The production of N2O was driven by both nitrification and denitrification processes, the proportion depending on the tree species. Our results indicate that logging residue piles accelerate N losses as gaseous form; however studies on the same field experiment shows that most of the N losses occur through soil percolation waters. Spruce residues tend to stimulate N2O emissions longer compared to other tree species. There was a positive correlation with net nitrification and microbial biomass C (Törmänen et al. 2018, FORECO). These results have implications for sustainable and productive forest management practices and nutrition of re-growing vegetation.
How to cite: Törmänen, T., Lindroos, A.-J., Kitunen, V., and Smolander, A.: Response of N2O emissions to logging residue piles of Norway spruce, Scots pine and silver birch , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20450, https://doi.org/10.5194/egusphere-egu2020-20450, 2020.
EGU2020-22205 | Displays | BG1.2
Effects of drying and rewetting cycles on denitrification and greenhouse gas emissions in normally saturated organic substrateFrançois Birgand, Bryan Maxwell, Augustin Thomas, Louis Schipper, David Williams, Laura Christianson, Shying Tian, Matthew Helmers, Chip Chescheir, and Mohamed Youssef
The effects of intermittent drying of normally saturated organic systems such as peatlands, swamps, or wetlands has not been reported quite as often as those of wetting and drying cycles of normally dry soils. We report here the effects of weekly drying and rewetting events on saturated woodchips used as denitrification bed. We used denitrification rates and gas effluxes as indicators of the response of normally saturated organic substrate to intermittent aerobic conditions. We used replicated eight upflow columns in the lab fed with nitrated water, and undergoing variable duration of intermittent aerobic conditions (none, 2, 8, and 24 hours) over a 400d experiment. We used high-frequency sensors to measure in- and outflow nitrate and DOC concentrations on a 2-hour basis, from which we calculated denitrification rates. We also measured the CO2 and N2O effluxes in the headspace on an hourly basis. The results show a burst of respiration activity during drying events and for several days after rewetting. Isotopic data suggest that respiration was bacterial denitrification. Intermittent aerobic conditions seem to provide the conditions conducive to the generation of more and better quality DOC, which microbes use during subsequent saturated conditions. Our results suggest that intermittent aerobic conditions may have lasting impacts on microbial respiration in wetlands.
How to cite: Birgand, F., Maxwell, B., Thomas, A., Schipper, L., Williams, D., Christianson, L., Tian, S., Helmers, M., Chescheir, C., and Youssef, M.: Effects of drying and rewetting cycles on denitrification and greenhouse gas emissions in normally saturated organic substrate, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22205, https://doi.org/10.5194/egusphere-egu2020-22205, 2020.
The effects of intermittent drying of normally saturated organic systems such as peatlands, swamps, or wetlands has not been reported quite as often as those of wetting and drying cycles of normally dry soils. We report here the effects of weekly drying and rewetting events on saturated woodchips used as denitrification bed. We used denitrification rates and gas effluxes as indicators of the response of normally saturated organic substrate to intermittent aerobic conditions. We used replicated eight upflow columns in the lab fed with nitrated water, and undergoing variable duration of intermittent aerobic conditions (none, 2, 8, and 24 hours) over a 400d experiment. We used high-frequency sensors to measure in- and outflow nitrate and DOC concentrations on a 2-hour basis, from which we calculated denitrification rates. We also measured the CO2 and N2O effluxes in the headspace on an hourly basis. The results show a burst of respiration activity during drying events and for several days after rewetting. Isotopic data suggest that respiration was bacterial denitrification. Intermittent aerobic conditions seem to provide the conditions conducive to the generation of more and better quality DOC, which microbes use during subsequent saturated conditions. Our results suggest that intermittent aerobic conditions may have lasting impacts on microbial respiration in wetlands.
How to cite: Birgand, F., Maxwell, B., Thomas, A., Schipper, L., Williams, D., Christianson, L., Tian, S., Helmers, M., Chescheir, C., and Youssef, M.: Effects of drying and rewetting cycles on denitrification and greenhouse gas emissions in normally saturated organic substrate, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22205, https://doi.org/10.5194/egusphere-egu2020-22205, 2020.
EGU2020-6628 | Displays | BG1.2 | Highlight
The effect of boichar on the emission of N2O from a calcareous soilWenxu Dong, Anna Walkiewicz, Caohui He, Andrzej Bieganowski, and Chunsheng Hu
Biochar additions may mitigate N2O emissions from soil. The mechanisms underpinning the mitigation of emissions remain to be elucidated. A series of incubation experiments were performed to investigate the effects of biochar on N2O production and reduction in columns with a low-fertility or high-fertility soil, with or without the injection of N2O in the subsoil and with and without glucose (to stimulate denitrification). Biochar was added to the calcareous soils in 0 and 1% (w/w) amounts and moisture was maintained at 70% water-filled pore space (WFPS) over the incubation period. The results revealed that biochar reduced the emissions of soil-produced N2O by 37−47% and those of injected N2O by 23−44%. The addition of glucose solution strongly increased N2O emissions, while biochar reduced total N2O emissions by as much as 64−81% and those of injected N2O alone by 29−51%. Differences between the low-fertility and high-fertility soils in the apparent N2O emission mitigation by biochar were relatively small, but tended to be larger for the low-fertility soil. The results suggest that biochar addition can suppress the production of N2O in soil and simultaneously stimulate the reduction of N2O to N2. Further studies are needed to elucidate the regulatory effects of biochar in soil.
How to cite: Dong, W., Walkiewicz, A., He, C., Bieganowski, A., and Hu, C.: The effect of boichar on the emission of N2O from a calcareous soil, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6628, https://doi.org/10.5194/egusphere-egu2020-6628, 2020.
Biochar additions may mitigate N2O emissions from soil. The mechanisms underpinning the mitigation of emissions remain to be elucidated. A series of incubation experiments were performed to investigate the effects of biochar on N2O production and reduction in columns with a low-fertility or high-fertility soil, with or without the injection of N2O in the subsoil and with and without glucose (to stimulate denitrification). Biochar was added to the calcareous soils in 0 and 1% (w/w) amounts and moisture was maintained at 70% water-filled pore space (WFPS) over the incubation period. The results revealed that biochar reduced the emissions of soil-produced N2O by 37−47% and those of injected N2O by 23−44%. The addition of glucose solution strongly increased N2O emissions, while biochar reduced total N2O emissions by as much as 64−81% and those of injected N2O alone by 29−51%. Differences between the low-fertility and high-fertility soils in the apparent N2O emission mitigation by biochar were relatively small, but tended to be larger for the low-fertility soil. The results suggest that biochar addition can suppress the production of N2O in soil and simultaneously stimulate the reduction of N2O to N2. Further studies are needed to elucidate the regulatory effects of biochar in soil.
How to cite: Dong, W., Walkiewicz, A., He, C., Bieganowski, A., and Hu, C.: The effect of boichar on the emission of N2O from a calcareous soil, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6628, https://doi.org/10.5194/egusphere-egu2020-6628, 2020.
EGU2020-3890 | Displays | BG1.2
Interactions between liming and availability of C and P regulate nitrogen transformations and denitrifying potential in an acidic arable soilZhi Liang, Diego Abalos, and Lars Elsgaard
Liming to increase pH of acidic soils is a common agricultural practice to optimize crop yields, which also modulates greenhouse gas emissions from soils. In particular, soil pH has been identified as a primary regulator of denitrification pathways with enhanced ratio of nitrous oxide (N2O) to dinitrogen (N2) emissions (i.e., enhanced N2O/N2 ratio) at lower soil pH. Therefore liming could represent a potential management option to mitigate soil N2O emissions. However, changes in soil pH have pervasive effects on general microbial activity and on soil properties, including transformations of carbon (C) and bioavailability of phosphorus (P), with a feedback on microbial processes. Thus, the eventual net effects of liming on microbially derived N2O emissions may be complex. The aim of this study was to discern the interaction between liming (soil pH), and availability of C and P in regulating N2O emissions from acidic fertilized agroecosystems. Using coarse sandy soils from a long-term liming field experiment, N2O/N2 ratios from denitrifying enzyme activity was shown to be strongly affected by liming, i.e., with gradually decreasing ratios at increasing soil pH. Although liming acidic soil (pH, 3.6) to almost neutral (pH, 6.4) favored the reduction of N2O to N2, it also enhanced the overall denitrification rate, which eventually resulted in the highest N2O emission from moderately limed treatments (pH, 4.7). Interactions between P availability and denitrification (and N2O emission) occurred, where P addition generally increased cumulative N2O emissions with strongest effect at the moderately limed soil. Mechanistic hypotheses for this effect are discussed. Overall, our results suggest that a critical liming rate should be pursued which may lead to substantial mitigation of N2O emissions from acidic arable soil.
How to cite: Liang, Z., Abalos, D., and Elsgaard, L.: Interactions between liming and availability of C and P regulate nitrogen transformations and denitrifying potential in an acidic arable soil, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3890, https://doi.org/10.5194/egusphere-egu2020-3890, 2020.
Liming to increase pH of acidic soils is a common agricultural practice to optimize crop yields, which also modulates greenhouse gas emissions from soils. In particular, soil pH has been identified as a primary regulator of denitrification pathways with enhanced ratio of nitrous oxide (N2O) to dinitrogen (N2) emissions (i.e., enhanced N2O/N2 ratio) at lower soil pH. Therefore liming could represent a potential management option to mitigate soil N2O emissions. However, changes in soil pH have pervasive effects on general microbial activity and on soil properties, including transformations of carbon (C) and bioavailability of phosphorus (P), with a feedback on microbial processes. Thus, the eventual net effects of liming on microbially derived N2O emissions may be complex. The aim of this study was to discern the interaction between liming (soil pH), and availability of C and P in regulating N2O emissions from acidic fertilized agroecosystems. Using coarse sandy soils from a long-term liming field experiment, N2O/N2 ratios from denitrifying enzyme activity was shown to be strongly affected by liming, i.e., with gradually decreasing ratios at increasing soil pH. Although liming acidic soil (pH, 3.6) to almost neutral (pH, 6.4) favored the reduction of N2O to N2, it also enhanced the overall denitrification rate, which eventually resulted in the highest N2O emission from moderately limed treatments (pH, 4.7). Interactions between P availability and denitrification (and N2O emission) occurred, where P addition generally increased cumulative N2O emissions with strongest effect at the moderately limed soil. Mechanistic hypotheses for this effect are discussed. Overall, our results suggest that a critical liming rate should be pursued which may lead to substantial mitigation of N2O emissions from acidic arable soil.
How to cite: Liang, Z., Abalos, D., and Elsgaard, L.: Interactions between liming and availability of C and P regulate nitrogen transformations and denitrifying potential in an acidic arable soil, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3890, https://doi.org/10.5194/egusphere-egu2020-3890, 2020.
EGU2020-2760 | Displays | BG1.2
Denitrification induced by plant residues is driven by water-soluble organic carbonRonny Surey, Corinna M. Schimpf, Leopold Sauheitl, Carsten W. Mueller, Pauline S. Rummel, Klaus Dittert, Klaus Kaiser, Jürgen Böttcher, and Robert Mikutta
Denitrification usually takes place under anoxic conditions and over short periods of time and depends on readily available nitrate and carbon sources. Variations in CO2 and N2O emissions from soils amended with plant residues have mainly been explained by differences in their decomposability. Another factor rarely considered so far is water-extractable organic matter (WEOM) released into soil during residue decomposition. Here, we examined the potential effect of plant residues on denitrification with special emphasis on WEOM. A range of fresh and leached plant residues was characterized by elemental analyses, 13C-NMR spectroscopy, and extraction with ultrapure water. The obtained solutions were analyzed for the concentration of organic carbon (OC), organic nitrogen (ON), and by UV-VIS spectroscopy. To test the potential denitrification induced by plant residues or three different OM solutions, these carbon sources were added to soil suspensions and incubated for 24 hours at 20 °C in the dark under anoxic conditions; KNO3 was added to ensure unlimited nitrate supply. Evolving N2O and CO2 were analyzed by gas chromatography and acetylene inhibition was used to determine denitrification and its product ratio. The production of all gases as well as the molar N2O+N2-N/CO2-C ratio was directly related to the water-extractable OC (WEOC) content of the plant residues and the WEOC increased with carboxylic/carbonyl C and decreasing OC/ON ratios of the plant residues. Incubation of OM solutions revealed that the molar N2O+N2-N/CO2-C ratio and share of N2O are influenced by the WEOM’s chemical composition. In conclusion, the effect of plant residues on potential denitrification is governed by their composition and the related production of WEOM.
How to cite: Surey, R., Schimpf, C. M., Sauheitl, L., Mueller, C. W., Rummel, P. S., Dittert, K., Kaiser, K., Böttcher, J., and Mikutta, R.: Denitrification induced by plant residues is driven by water-soluble organic carbon, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2760, https://doi.org/10.5194/egusphere-egu2020-2760, 2020.
Denitrification usually takes place under anoxic conditions and over short periods of time and depends on readily available nitrate and carbon sources. Variations in CO2 and N2O emissions from soils amended with plant residues have mainly been explained by differences in their decomposability. Another factor rarely considered so far is water-extractable organic matter (WEOM) released into soil during residue decomposition. Here, we examined the potential effect of plant residues on denitrification with special emphasis on WEOM. A range of fresh and leached plant residues was characterized by elemental analyses, 13C-NMR spectroscopy, and extraction with ultrapure water. The obtained solutions were analyzed for the concentration of organic carbon (OC), organic nitrogen (ON), and by UV-VIS spectroscopy. To test the potential denitrification induced by plant residues or three different OM solutions, these carbon sources were added to soil suspensions and incubated for 24 hours at 20 °C in the dark under anoxic conditions; KNO3 was added to ensure unlimited nitrate supply. Evolving N2O and CO2 were analyzed by gas chromatography and acetylene inhibition was used to determine denitrification and its product ratio. The production of all gases as well as the molar N2O+N2-N/CO2-C ratio was directly related to the water-extractable OC (WEOC) content of the plant residues and the WEOC increased with carboxylic/carbonyl C and decreasing OC/ON ratios of the plant residues. Incubation of OM solutions revealed that the molar N2O+N2-N/CO2-C ratio and share of N2O are influenced by the WEOM’s chemical composition. In conclusion, the effect of plant residues on potential denitrification is governed by their composition and the related production of WEOM.
How to cite: Surey, R., Schimpf, C. M., Sauheitl, L., Mueller, C. W., Rummel, P. S., Dittert, K., Kaiser, K., Böttcher, J., and Mikutta, R.: Denitrification induced by plant residues is driven by water-soluble organic carbon, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2760, https://doi.org/10.5194/egusphere-egu2020-2760, 2020.
EGU2020-15158 | Displays | BG1.2
Response of soil N2 and N2O fluxes to denitrification control factors in two agricultural soilsAmanda Matson, Stefan Burkart, Balazs Grosz, Jan Reent Köster, Simone Merl, and Reinhard Well
Controlling soil N cycling to mitigate N-oxide emissions and optimize N use efficiency is an important aspect of agricultural soil management. Numerous denitrification models exist that can inform management decisions, but these are limited by the lack of soil N2 flux measurements to validate the model estimates. Measurements of soil denitrification - including both N2O and N2 fluxes - are challenging, however, due to methodological limitations for the measurement of N2 and the spatial/temporal heterogeneity of denitrification in soils.
We used laboratory incubations of re-packed soil cores, combined with both soil flushing and stable isotope techniques, to measure denitrification in two agricultural soils, as part of the DFG-research unit “Denitrification in Agricultural Soils: Integrated Control and Modelling at Various Scales (DASIM)”. The laboratory incubations used an automated mesocosm system, with regular measurements of both N2O and N2, to assess the response of soil denitrification to a variety of control factors. Control factors simulated typical scenarios that might occur in the field, including different amounts/types of plant residue, and changes in moisture, temperature, NO3- and oxygen concentration. Both natural abundance and 15N labeling of the soil mineral N pool were used to assess denitrification pathways.
Here we contrast the results of the incubation data from a sandy Podzol and silt-loam Luvisol. These data will be used to calibrate newly developed DASIM models as well as denitrification sub-modules of existing biogeochemical models. They will also inform the next steps of this work, which will extend the laboratory incubation technique to measure denitrification in undisturbed field soils.
How to cite: Matson, A., Burkart, S., Grosz, B., Köster, J. R., Merl, S., and Well, R.: Response of soil N2 and N2O fluxes to denitrification control factors in two agricultural soils , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-15158, https://doi.org/10.5194/egusphere-egu2020-15158, 2020.
Controlling soil N cycling to mitigate N-oxide emissions and optimize N use efficiency is an important aspect of agricultural soil management. Numerous denitrification models exist that can inform management decisions, but these are limited by the lack of soil N2 flux measurements to validate the model estimates. Measurements of soil denitrification - including both N2O and N2 fluxes - are challenging, however, due to methodological limitations for the measurement of N2 and the spatial/temporal heterogeneity of denitrification in soils.
We used laboratory incubations of re-packed soil cores, combined with both soil flushing and stable isotope techniques, to measure denitrification in two agricultural soils, as part of the DFG-research unit “Denitrification in Agricultural Soils: Integrated Control and Modelling at Various Scales (DASIM)”. The laboratory incubations used an automated mesocosm system, with regular measurements of both N2O and N2, to assess the response of soil denitrification to a variety of control factors. Control factors simulated typical scenarios that might occur in the field, including different amounts/types of plant residue, and changes in moisture, temperature, NO3- and oxygen concentration. Both natural abundance and 15N labeling of the soil mineral N pool were used to assess denitrification pathways.
Here we contrast the results of the incubation data from a sandy Podzol and silt-loam Luvisol. These data will be used to calibrate newly developed DASIM models as well as denitrification sub-modules of existing biogeochemical models. They will also inform the next steps of this work, which will extend the laboratory incubation technique to measure denitrification in undisturbed field soils.
How to cite: Matson, A., Burkart, S., Grosz, B., Köster, J. R., Merl, S., and Well, R.: Response of soil N2 and N2O fluxes to denitrification control factors in two agricultural soils , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-15158, https://doi.org/10.5194/egusphere-egu2020-15158, 2020.
EGU2020-6822 | Displays | BG1.2
The effects of living roots and arbuscular mycorrhiza fungi (AMF) on soil N2O emissionsYawen Shen, Tianle Xu, and Biao Zhu
Living roots and arbuscular mycorrhiza fungi (AMF) are widespread in most terrestrial ecosystems and play an important role in ecosystem nitrogen (N) cycling. However, the influence of living roots and AMF on soil N2O emissions remains poorly understood. In this study, we conducted a pot experiment with ryegrass (Lolium perenne) growing in a greenhouse for three months with three factors: root and AMF presence (None or unplanted, Root or with roots, and Root+AMF or with roots colonized by AMF), two N addition levels (N0 and N1 with 0 and 50 mg N kg-1 soil) and two P addition levels (P0 and P1, with 0 and 20 mg P kg-1 soil).
Our results showed that N addition didn’t have significant effect on N2O emission, however, we detected significant effects of Root and Root+AMF, particularly under P addition. Though the colonization of AMF didn’t significantly influence N2O emission, the presence of roots (Root and AMF+Root treatments) deceased N2O emission by 58%-67% compared with the None treatment. P addition increased (+134%) N2O emission from unplanted soil but decreased (74%-98%) N2O emission under planted soil regardless of AMF colonization. Moreover, there were no significant relationship between N2O emission and soil pH, NH4+-N and net N mineralization. The lower N2O emission from rooted treatments were mainly due to the lower soil NO3--N (and MBN) content which might be immobilized by plant biomass, while the higher N2O emission from unplanted soil under P addition was attributed to increased soil available (r=0.760, P<0.01) and total (r=0.654, P<0.01) phosphorus content. We conclude that root presence and P addition played an important role in regulating N2O emission from P-limited soils.
How to cite: Shen, Y., Xu, T., and Zhu, B.: The effects of living roots and arbuscular mycorrhiza fungi (AMF) on soil N2O emissions, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6822, https://doi.org/10.5194/egusphere-egu2020-6822, 2020.
Living roots and arbuscular mycorrhiza fungi (AMF) are widespread in most terrestrial ecosystems and play an important role in ecosystem nitrogen (N) cycling. However, the influence of living roots and AMF on soil N2O emissions remains poorly understood. In this study, we conducted a pot experiment with ryegrass (Lolium perenne) growing in a greenhouse for three months with three factors: root and AMF presence (None or unplanted, Root or with roots, and Root+AMF or with roots colonized by AMF), two N addition levels (N0 and N1 with 0 and 50 mg N kg-1 soil) and two P addition levels (P0 and P1, with 0 and 20 mg P kg-1 soil).
Our results showed that N addition didn’t have significant effect on N2O emission, however, we detected significant effects of Root and Root+AMF, particularly under P addition. Though the colonization of AMF didn’t significantly influence N2O emission, the presence of roots (Root and AMF+Root treatments) deceased N2O emission by 58%-67% compared with the None treatment. P addition increased (+134%) N2O emission from unplanted soil but decreased (74%-98%) N2O emission under planted soil regardless of AMF colonization. Moreover, there were no significant relationship between N2O emission and soil pH, NH4+-N and net N mineralization. The lower N2O emission from rooted treatments were mainly due to the lower soil NO3--N (and MBN) content which might be immobilized by plant biomass, while the higher N2O emission from unplanted soil under P addition was attributed to increased soil available (r=0.760, P<0.01) and total (r=0.654, P<0.01) phosphorus content. We conclude that root presence and P addition played an important role in regulating N2O emission from P-limited soils.
How to cite: Shen, Y., Xu, T., and Zhu, B.: The effects of living roots and arbuscular mycorrhiza fungi (AMF) on soil N2O emissions, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6822, https://doi.org/10.5194/egusphere-egu2020-6822, 2020.
EGU2020-9218 | Displays | BG1.2
Analysis of N2O emissions and isotopomers to understand nitrogen cycling associated with multispecies grassland swards at a lysimeter scaleConor Bracken, Gary Lanigan, Karl Richards, Saoirse Tracy, Christoph Müller, and Paul Murphy
Nitrous oxide (N2O) is a potent greenhouse gas associated with nitrogen fertiliser inputs to agricultural production systems. Minimising N2O emissions is important to improving the efficiency and sustainability of grassland agriculture. Multispecies grassland swards composed of plants from different functional groups (grasses, legumes, herbs) have been considered as a management strategy to achieve this goal. Numerous soil nitrogen transformation pathways can lead to the production of N2O emissions. These transformation pathways are regulated by soil microbial communities and the environmental conditions and management practices that impact on them. Much research has been carried out on N cycling and N2O emissions from predominantly grass monoculture systems. However, there is a lot yet to understand about how agricultural grasslands with diverse plant communities influence soil N cycling and N2O emissions. A lysimeter experiment was set up as a completely randomised block design and carried out over a full year to investigate N2O production, and nitrogen cycling associated with four sward types. The swards four swards were: perennial ryegrass (PRG, Lolium perenne); PRG and low white clover (PRG + LWC, Trifolium repens); PRG and high white clover (PRG + HWC); PRG, WC and ribwort plantain (PRG + WC + PLAN, Plantago lanceolata) managed at 250, 90, 0, and 45 kg N ha-1yr-1, respectively. Fertiliser N was applied by syringe as urea in splits at suitable timings to meet grass growth demands. N2O fluxes were measured using a static chamber technique and additional samples were taken after the final flux sample to measure the associated N2O isotopomers using a novel Cavity Ring Down Spectroscopy technique. Leachate volumes were measured on a weekly basis and composite monthly samples were used to determine the total amount of N leached from each treatment over the full year. Herbage was harvested on a monthly basis to measure DM yield (kg DM ha-1), total N (%) and N yield (kg N ha-1).This work reports on the N2O emissions and N leaching associated with the four sward treatments and related these N losses to the treatments DM yields and N uptake as an estimation of the efficiency of these differing grassland management strategies. N2O isotopomer measurements were used to indicate N transformation pathways driving N loss over the growing season particularly around periods of peak N2O emissions.
How to cite: Bracken, C., Lanigan, G., Richards, K., Tracy, S., Müller, C., and Murphy, P.: Analysis of N2O emissions and isotopomers to understand nitrogen cycling associated with multispecies grassland swards at a lysimeter scale, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9218, https://doi.org/10.5194/egusphere-egu2020-9218, 2020.
Nitrous oxide (N2O) is a potent greenhouse gas associated with nitrogen fertiliser inputs to agricultural production systems. Minimising N2O emissions is important to improving the efficiency and sustainability of grassland agriculture. Multispecies grassland swards composed of plants from different functional groups (grasses, legumes, herbs) have been considered as a management strategy to achieve this goal. Numerous soil nitrogen transformation pathways can lead to the production of N2O emissions. These transformation pathways are regulated by soil microbial communities and the environmental conditions and management practices that impact on them. Much research has been carried out on N cycling and N2O emissions from predominantly grass monoculture systems. However, there is a lot yet to understand about how agricultural grasslands with diverse plant communities influence soil N cycling and N2O emissions. A lysimeter experiment was set up as a completely randomised block design and carried out over a full year to investigate N2O production, and nitrogen cycling associated with four sward types. The swards four swards were: perennial ryegrass (PRG, Lolium perenne); PRG and low white clover (PRG + LWC, Trifolium repens); PRG and high white clover (PRG + HWC); PRG, WC and ribwort plantain (PRG + WC + PLAN, Plantago lanceolata) managed at 250, 90, 0, and 45 kg N ha-1yr-1, respectively. Fertiliser N was applied by syringe as urea in splits at suitable timings to meet grass growth demands. N2O fluxes were measured using a static chamber technique and additional samples were taken after the final flux sample to measure the associated N2O isotopomers using a novel Cavity Ring Down Spectroscopy technique. Leachate volumes were measured on a weekly basis and composite monthly samples were used to determine the total amount of N leached from each treatment over the full year. Herbage was harvested on a monthly basis to measure DM yield (kg DM ha-1), total N (%) and N yield (kg N ha-1).This work reports on the N2O emissions and N leaching associated with the four sward treatments and related these N losses to the treatments DM yields and N uptake as an estimation of the efficiency of these differing grassland management strategies. N2O isotopomer measurements were used to indicate N transformation pathways driving N loss over the growing season particularly around periods of peak N2O emissions.
How to cite: Bracken, C., Lanigan, G., Richards, K., Tracy, S., Müller, C., and Murphy, P.: Analysis of N2O emissions and isotopomers to understand nitrogen cycling associated with multispecies grassland swards at a lysimeter scale, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9218, https://doi.org/10.5194/egusphere-egu2020-9218, 2020.
EGU2020-19445 | Displays | BG1.2
NO3- uptake and C exudation – do plant roots stimulate or inhibit denitrification?Pauline Sophie Rummel, Reinhard Well, Birgit Pfeiffer, Klaus Dittert, Sebastian Floßmann, and Johanna Pausch
Growing plants affect soil moisture, mineral N and organic C (Corg) availability in soil and may thus play an important role in regulating denitrification. The availability of the main substrates for denitrification (Corg and NO3-) is controlled by root activity and higher denitrification activity in rhizosphere soils has been reported. We hypothesized that (I) plant N uptake governs NO3- availability for denitrification leading to increased N2O and N2 emissions, when plant N uptake is low due to smaller root system or root senescence. (II) Denitrification is stimulated by higher Corg availability from root exudation or decaying roots increasing total gaseous N emissions while decreasing their N2O/(N2O+N2) ratios.
We tested these assumptions in a double labeling pot experiment with maize (Zea mays L.) grown under three N fertilization levels S / M / L (no / moderate / high N fertilization) and with cup plant (Silphium perfoliatum L., moderate N fertilization). After 6 weeks, all plants were labeled with 0.1 g N kg-1 (Ca(15NO3)2, 60 at%), and the 15N tracer method was applied to estimate plant N uptake, N2O and N2 emissions. To link denitrification with available C in the rhizosphere, 13CO2 pulse labeling (5 g Na213CO3, 99 at%) was used to trace C translocation from shoots to roots and its release by roots into the soil. CO2 evolving from soil was trapped in NaOH for δ13C analyses, and gas samples were taken for analysis of N2O and N2 from the headspace above the soil surface every 12 h.
Although pots were irrigated, changing soil moisture through differences in plant water uptake was the main factor controlling daily N2O+N2 fluxes, cumulative N emissions, and N2O production pathways. In addition, total N2O+N2 emissions were negatively correlated with plant N uptake and positively with soil N concentrations. Recently assimilated C released by roots (13C) was positively correlated with root dry matter, but we could not detect any relationship with cumulative N emissions. We anticipate that higher Corg availability in pots with large root systems did not lead to higher denitrification rates as NO3- was limited due to plant uptake. In conclusion, plant growth controlled water and NO3- uptake and, subsequently, formation of anaerobic hotspots for denitrification.
How to cite: Rummel, P. S., Well, R., Pfeiffer, B., Dittert, K., Floßmann, S., and Pausch, J.: NO3- uptake and C exudation – do plant roots stimulate or inhibit denitrification?, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19445, https://doi.org/10.5194/egusphere-egu2020-19445, 2020.
Growing plants affect soil moisture, mineral N and organic C (Corg) availability in soil and may thus play an important role in regulating denitrification. The availability of the main substrates for denitrification (Corg and NO3-) is controlled by root activity and higher denitrification activity in rhizosphere soils has been reported. We hypothesized that (I) plant N uptake governs NO3- availability for denitrification leading to increased N2O and N2 emissions, when plant N uptake is low due to smaller root system or root senescence. (II) Denitrification is stimulated by higher Corg availability from root exudation or decaying roots increasing total gaseous N emissions while decreasing their N2O/(N2O+N2) ratios.
We tested these assumptions in a double labeling pot experiment with maize (Zea mays L.) grown under three N fertilization levels S / M / L (no / moderate / high N fertilization) and with cup plant (Silphium perfoliatum L., moderate N fertilization). After 6 weeks, all plants were labeled with 0.1 g N kg-1 (Ca(15NO3)2, 60 at%), and the 15N tracer method was applied to estimate plant N uptake, N2O and N2 emissions. To link denitrification with available C in the rhizosphere, 13CO2 pulse labeling (5 g Na213CO3, 99 at%) was used to trace C translocation from shoots to roots and its release by roots into the soil. CO2 evolving from soil was trapped in NaOH for δ13C analyses, and gas samples were taken for analysis of N2O and N2 from the headspace above the soil surface every 12 h.
Although pots were irrigated, changing soil moisture through differences in plant water uptake was the main factor controlling daily N2O+N2 fluxes, cumulative N emissions, and N2O production pathways. In addition, total N2O+N2 emissions were negatively correlated with plant N uptake and positively with soil N concentrations. Recently assimilated C released by roots (13C) was positively correlated with root dry matter, but we could not detect any relationship with cumulative N emissions. We anticipate that higher Corg availability in pots with large root systems did not lead to higher denitrification rates as NO3- was limited due to plant uptake. In conclusion, plant growth controlled water and NO3- uptake and, subsequently, formation of anaerobic hotspots for denitrification.
How to cite: Rummel, P. S., Well, R., Pfeiffer, B., Dittert, K., Floßmann, S., and Pausch, J.: NO3- uptake and C exudation – do plant roots stimulate or inhibit denitrification?, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19445, https://doi.org/10.5194/egusphere-egu2020-19445, 2020.
EGU2020-8609 | Displays | BG1.2
Optimising Fertilisation Strategy for Nitrogen Uptake EfficiencyDaniel McKay Fletcher, Siul Ruiz, Simon Duncan, Dave Chadwick, David Jone, and Tiina Roose
Sufficient nitrogen fertilisation is essential for obtaining the crop yields required to feed the growing population. Moreover, nitrogen applied to fields is often lost to a number of processes including denitrification, surface run-off and leaching. These processes can damage the local ecology and contaminate water supplies. Additionally, nitrogen lost as ammonia gas and the large energy input required to synthesize ammonia are both large contributors to global greenhouse gas emissions. Choosing fertilisation strategies to optimise the proportion of nitrogen taken up by crops (nitrogen use efficiency) can reduce the production of ammonia and the pollution of water supplies.
We developed a mathematical model that describes the movement of water and multiple nitrogen species in soil at the field scale over a growing season. The model was then used to assess the nitrogen use efficiency of varying fertilisation strategies. We consider the effects of a number of biological, chemical, and physical processes including: root growth, root uptake, the transformation of nitrogen between different nitrogen species, and the effect of soil water movement on nitrogen transport. The resulting model is comprised of a coupled system of partial and ordinary differential equations that describe the mathematical interplay between nitrogen transport, water movement, and root uptake, which were solved numerically using a finite element approach. Numerical experiments were conducted to determine how nitrogen uptake efficiency was affected by different fertilisation strategies. We examine numerous cases by varying the quantity of fertiliser applied to the soil and the fertiliser application times.
The numerical experiments suggest that, under uniform rainfall rates, the optimal fertilisation times (within the bounds of typical times found in agriculture) can result in 25% more nitrogen uptake than the worst strategies. However, there were large time periods, 28 days for the first application and 10 days for the second, which resulted in close-to-optimal nitrogen use efficiency. The results of this study, in addition to crop health and past and predicted rainfall, could be taken into consideration by farmers while choosing fertilisation times to optimise nitrogen uptake efficiency.
How to cite: McKay Fletcher, D., Ruiz, S., Duncan, S., Chadwick, D., Jone, D., and Roose, T.: Optimising Fertilisation Strategy for Nitrogen Uptake Efficiency, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8609, https://doi.org/10.5194/egusphere-egu2020-8609, 2020.
Sufficient nitrogen fertilisation is essential for obtaining the crop yields required to feed the growing population. Moreover, nitrogen applied to fields is often lost to a number of processes including denitrification, surface run-off and leaching. These processes can damage the local ecology and contaminate water supplies. Additionally, nitrogen lost as ammonia gas and the large energy input required to synthesize ammonia are both large contributors to global greenhouse gas emissions. Choosing fertilisation strategies to optimise the proportion of nitrogen taken up by crops (nitrogen use efficiency) can reduce the production of ammonia and the pollution of water supplies.
We developed a mathematical model that describes the movement of water and multiple nitrogen species in soil at the field scale over a growing season. The model was then used to assess the nitrogen use efficiency of varying fertilisation strategies. We consider the effects of a number of biological, chemical, and physical processes including: root growth, root uptake, the transformation of nitrogen between different nitrogen species, and the effect of soil water movement on nitrogen transport. The resulting model is comprised of a coupled system of partial and ordinary differential equations that describe the mathematical interplay between nitrogen transport, water movement, and root uptake, which were solved numerically using a finite element approach. Numerical experiments were conducted to determine how nitrogen uptake efficiency was affected by different fertilisation strategies. We examine numerous cases by varying the quantity of fertiliser applied to the soil and the fertiliser application times.
The numerical experiments suggest that, under uniform rainfall rates, the optimal fertilisation times (within the bounds of typical times found in agriculture) can result in 25% more nitrogen uptake than the worst strategies. However, there were large time periods, 28 days for the first application and 10 days for the second, which resulted in close-to-optimal nitrogen use efficiency. The results of this study, in addition to crop health and past and predicted rainfall, could be taken into consideration by farmers while choosing fertilisation times to optimise nitrogen uptake efficiency.
How to cite: McKay Fletcher, D., Ruiz, S., Duncan, S., Chadwick, D., Jone, D., and Roose, T.: Optimising Fertilisation Strategy for Nitrogen Uptake Efficiency, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8609, https://doi.org/10.5194/egusphere-egu2020-8609, 2020.
EGU2020-11023 | Displays | BG1.2
Effect of maintenance liming with olivine, dolomite and calcite on growing-season N2O emissions in an arable soil of SE NorwayTeodora Todorcic Vekic, Lars Bakken, and Peter Dörsch
There is growing evidence that liming reduces the magnitude of N2O emissions in acidic soils. Here we report N2O emissions from a liming experiment with olivine, dolomite and calcite and of maintenance liming with the same materials in clay loam soil at Norwegian University of Life Sciences research farm. The field was bulk limed in 2014 and monitored for N2O fluxes by an autonomous filed flux robot (FFR). Over the course of four years, the fluxes varied but showed a potential of lime as a mitigation tool, with calcareous treatments (dolomite and calcite) displaying a clear decline in N2O emissions compared to unamended plots. To explore the effect of maintenance liming, subplots were maintenance limed and compared with bulk limed controls after sowing the field to winter wheat (Triticum aestivum L.) in summer and fertilizing with 50 kg NPK-N.
Growing-season N2O emissions (June-September) in maintenance limed dolomite plots were on average 26% lower than bulk limed plots and the corresponding reduction in calcite plots was 16%. There was no effect of maintenance liming in the olivine treatment. N2O emissions decreased in the order unlimed control > olivine > dolomite > calcite, covering a pHCaCl2 range of 4.9 to 6.5.
Our results suggest that maintenance liming, as a component of good agricultural practice, is important to maintain the N2O reducing effect of liming over time. However, the amount of CO2 released by the dissolution of lime should be investigated in order to fully explore the mitigation potential of soil pH management in crop production.
How to cite: Todorcic Vekic, T., Bakken, L., and Dörsch, P.: Effect of maintenance liming with olivine, dolomite and calcite on growing-season N2O emissions in an arable soil of SE Norway , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11023, https://doi.org/10.5194/egusphere-egu2020-11023, 2020.
There is growing evidence that liming reduces the magnitude of N2O emissions in acidic soils. Here we report N2O emissions from a liming experiment with olivine, dolomite and calcite and of maintenance liming with the same materials in clay loam soil at Norwegian University of Life Sciences research farm. The field was bulk limed in 2014 and monitored for N2O fluxes by an autonomous filed flux robot (FFR). Over the course of four years, the fluxes varied but showed a potential of lime as a mitigation tool, with calcareous treatments (dolomite and calcite) displaying a clear decline in N2O emissions compared to unamended plots. To explore the effect of maintenance liming, subplots were maintenance limed and compared with bulk limed controls after sowing the field to winter wheat (Triticum aestivum L.) in summer and fertilizing with 50 kg NPK-N.
Growing-season N2O emissions (June-September) in maintenance limed dolomite plots were on average 26% lower than bulk limed plots and the corresponding reduction in calcite plots was 16%. There was no effect of maintenance liming in the olivine treatment. N2O emissions decreased in the order unlimed control > olivine > dolomite > calcite, covering a pHCaCl2 range of 4.9 to 6.5.
Our results suggest that maintenance liming, as a component of good agricultural practice, is important to maintain the N2O reducing effect of liming over time. However, the amount of CO2 released by the dissolution of lime should be investigated in order to fully explore the mitigation potential of soil pH management in crop production.
How to cite: Todorcic Vekic, T., Bakken, L., and Dörsch, P.: Effect of maintenance liming with olivine, dolomite and calcite on growing-season N2O emissions in an arable soil of SE Norway , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11023, https://doi.org/10.5194/egusphere-egu2020-11023, 2020.
EGU2020-8818 | Displays | BG1.2
Interaction of decreased crop growth and retarded mineralisation of 15N 13C labelled green manure under decreased precipitation patternsAndreea Spiridon, Weronika Kisielinska, Rebecca Hood-Nowotny, Simon Leitner, Maria Heiling, Anna Wawra, Johannes Hösch, Erwin Murer, Herbert Formayer, Wolfgang Wanek, Judith Prommer, and Andrea Watzinger
Changes in climate will bring along changes in precipitation patterns, and as such, it will determine the availability of water in agricultural systems. We aimed to investigate the impact of climate-induced altered precipitation regimes on crop performance and soil processes such as organic matter mineralisation and nutrient release. The experiment took place at the lysimeter station located in Hirschstetten, Vienna, Austria (48° 15' 22" N, 16° 289 3" E, 160 m a.s.l.) where a future precipitation scenario was compared with current precipitation patterns on two different soil types – a sandy calcaric Phaeozem and a calcic Chernozem, both being representative for the Marchfeld region in Lower Austria. The future precipitation regime was calculated from four regionalised scenarios from Euro-Cordex out of the ÖKS 15 ensemble following the GHG emission scenarios RCP 4.5 and RCP 8.5.
Stable isotope analysis has become a useful tool for sensitively tracing biogeochemical processes in soils. In this study, plant residues of white mustard (Sinapis alba), isotopically labelled with carbon 13C and nitrogen 15N in a controlled laboratory environment were applied as organic fertiliser (green manure) on the lysimeter soils in April 2018. Soil, plant, gas and groundwater samples were collected from the lysimeters throughout the growing season of 2018 and 2019 and analysed using cavity ring-down spectrometry (CRDS) for 15N-N2O in the field and by isotope ratio mass spectrometry.
Crop results showed an increase in the shoot 13C signatures, indicative of drought stress, which resulted in diminished plant production by -20 to -50% under the decreased precipitation. Isotope analysis showed lower decomposition and mineralisation rates of labelled green manure only during the first few days under the future precipitation treatment, followed by an increase in 15N enrichment of soil solution NO3- during summer, emphasising the importance of plant biomass production on root NO3- uptake from the soil. N2O emissions were higher after the application of synthetic fertiliser during the first year, highlighting the importance of available NO3- in agricultural systems for nitrification and denitrification processes. However, lower N2O emissions were observed during the second year, indicating possible N stress. Overall we found that N losses through NO3- leaching and N2O emissions were most sensitive to reduced precipitation when NO3- is available, which can cause aggravating environmental problems in the future.
The stable isotope labelling technique proved to be successful for tracing and identifying drought stress effects on plant and soil processes in agricultural systems, allowing for a better understanding of soil-plant processes under changing climate conditions.
How to cite: Spiridon, A., Kisielinska, W., Hood-Nowotny, R., Leitner, S., Heiling, M., Wawra, A., Hösch, J., Murer, E., Formayer, H., Wanek, W., Prommer, J., and Watzinger, A.: Interaction of decreased crop growth and retarded mineralisation of 15N 13C labelled green manure under decreased precipitation patterns, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8818, https://doi.org/10.5194/egusphere-egu2020-8818, 2020.
Changes in climate will bring along changes in precipitation patterns, and as such, it will determine the availability of water in agricultural systems. We aimed to investigate the impact of climate-induced altered precipitation regimes on crop performance and soil processes such as organic matter mineralisation and nutrient release. The experiment took place at the lysimeter station located in Hirschstetten, Vienna, Austria (48° 15' 22" N, 16° 289 3" E, 160 m a.s.l.) where a future precipitation scenario was compared with current precipitation patterns on two different soil types – a sandy calcaric Phaeozem and a calcic Chernozem, both being representative for the Marchfeld region in Lower Austria. The future precipitation regime was calculated from four regionalised scenarios from Euro-Cordex out of the ÖKS 15 ensemble following the GHG emission scenarios RCP 4.5 and RCP 8.5.
Stable isotope analysis has become a useful tool for sensitively tracing biogeochemical processes in soils. In this study, plant residues of white mustard (Sinapis alba), isotopically labelled with carbon 13C and nitrogen 15N in a controlled laboratory environment were applied as organic fertiliser (green manure) on the lysimeter soils in April 2018. Soil, plant, gas and groundwater samples were collected from the lysimeters throughout the growing season of 2018 and 2019 and analysed using cavity ring-down spectrometry (CRDS) for 15N-N2O in the field and by isotope ratio mass spectrometry.
Crop results showed an increase in the shoot 13C signatures, indicative of drought stress, which resulted in diminished plant production by -20 to -50% under the decreased precipitation. Isotope analysis showed lower decomposition and mineralisation rates of labelled green manure only during the first few days under the future precipitation treatment, followed by an increase in 15N enrichment of soil solution NO3- during summer, emphasising the importance of plant biomass production on root NO3- uptake from the soil. N2O emissions were higher after the application of synthetic fertiliser during the first year, highlighting the importance of available NO3- in agricultural systems for nitrification and denitrification processes. However, lower N2O emissions were observed during the second year, indicating possible N stress. Overall we found that N losses through NO3- leaching and N2O emissions were most sensitive to reduced precipitation when NO3- is available, which can cause aggravating environmental problems in the future.
The stable isotope labelling technique proved to be successful for tracing and identifying drought stress effects on plant and soil processes in agricultural systems, allowing for a better understanding of soil-plant processes under changing climate conditions.
How to cite: Spiridon, A., Kisielinska, W., Hood-Nowotny, R., Leitner, S., Heiling, M., Wawra, A., Hösch, J., Murer, E., Formayer, H., Wanek, W., Prommer, J., and Watzinger, A.: Interaction of decreased crop growth and retarded mineralisation of 15N 13C labelled green manure under decreased precipitation patterns, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8818, https://doi.org/10.5194/egusphere-egu2020-8818, 2020.
EGU2020-15032 | Displays | BG1.2
Effect of organic amendments and inorganic fertiliser application on nitrogen use efficiency and denitrification in controlled and field conditionsXavier Albano, Ruben Sakrabani, and Stephan Haefele
The amount of bioavailable nitrogen is directly linked to anthropogenic activity (Kuypers, Marchant, & Kartal, 2018), particularly with the intensive application of synthetic nitrogen fertilisers. Although high nitrogen inputs are required to support the ever-increasing need for food production, nitrogen use efficiency is in many cases low, to the extent that even with extra nitrogen inputs over time, increases of food production are small and slow (Battye, Aneja, & Schlesinger, 2017).
It has been suggested that roughly 40% of reactive nitrogen is denitrified in the soil (Seitzinger, et al., 2006), and most of the reactive nitrogen that results from human activities is removed by denitrification, with consequent production of N2 and N2O. However, even if most reactive N forms are removed by denitrification, this is an indicator that N use efficiency is not at optimum levels.
A study is being conducted in field and controlled conditions, that aims to understand denitrification and nitrogen use efficiency in a long-term experiment (running continuously since 2013) at Rothamsted Research. The experiment was designed to provide a clearer look at the effect of applications of organic amendments and/or inorganic fertilisers on nitrogen dynamics and crop yields in a conventional cereal-based cropping system.
Simultaneously, using yield data from the same trial, we aim to understand a) if the application of organic amendments leads to a reduction of the nitrogen threshold for optimum yields and, by using a modelling approach, b) if the eventual higher yields obtained with organic amendment application are due to the effect of the extra nutrients contained in the amendment or to some other effect caused by the amendments.
Soil and gas samples are being collected from a) different treatments of the field experiment (four different organic amendments: anaerobic digestate, compost, farmyard manure, straw and unamended control; and different nitrogen application rates; area of each plot: 54 m2) to assess nitrogen dynamics, and b) from soil columns (height 35 cm; width 25.5 cm) placed in a controlled environment using soil collected from the same trial. Different measurements are being taken including leachate (measurements of mineralised nitrogen), microbiology and gas emissions (using a Picarro device that measures NH3, N2O, CO2, CH4, O2, H2O). Simultaneously, underground sensors are being used to understand moisture and temperature evolution in the soil column, while electrochemical nitrate sensors are being used to understand nitrate dynamics before and after application of organic amendments and inorganic fertilisers.
With this, we aim at having a better understanding on denitrification processes and nitrogen use efficiency issues that may occur when using a joint regime of organic amendments and inorganic fertilisers. The main objectives of the project are the validation of the effect of organic amendments in the Fosters long-term experiment and the quantification of nitrogen gas emissions with the application of organic amendments and nitrogen fertilisers.
How to cite: Albano, X., Sakrabani, R., and Haefele, S.: Effect of organic amendments and inorganic fertiliser application on nitrogen use efficiency and denitrification in controlled and field conditions, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-15032, https://doi.org/10.5194/egusphere-egu2020-15032, 2020.
The amount of bioavailable nitrogen is directly linked to anthropogenic activity (Kuypers, Marchant, & Kartal, 2018), particularly with the intensive application of synthetic nitrogen fertilisers. Although high nitrogen inputs are required to support the ever-increasing need for food production, nitrogen use efficiency is in many cases low, to the extent that even with extra nitrogen inputs over time, increases of food production are small and slow (Battye, Aneja, & Schlesinger, 2017).
It has been suggested that roughly 40% of reactive nitrogen is denitrified in the soil (Seitzinger, et al., 2006), and most of the reactive nitrogen that results from human activities is removed by denitrification, with consequent production of N2 and N2O. However, even if most reactive N forms are removed by denitrification, this is an indicator that N use efficiency is not at optimum levels.
A study is being conducted in field and controlled conditions, that aims to understand denitrification and nitrogen use efficiency in a long-term experiment (running continuously since 2013) at Rothamsted Research. The experiment was designed to provide a clearer look at the effect of applications of organic amendments and/or inorganic fertilisers on nitrogen dynamics and crop yields in a conventional cereal-based cropping system.
Simultaneously, using yield data from the same trial, we aim to understand a) if the application of organic amendments leads to a reduction of the nitrogen threshold for optimum yields and, by using a modelling approach, b) if the eventual higher yields obtained with organic amendment application are due to the effect of the extra nutrients contained in the amendment or to some other effect caused by the amendments.
Soil and gas samples are being collected from a) different treatments of the field experiment (four different organic amendments: anaerobic digestate, compost, farmyard manure, straw and unamended control; and different nitrogen application rates; area of each plot: 54 m2) to assess nitrogen dynamics, and b) from soil columns (height 35 cm; width 25.5 cm) placed in a controlled environment using soil collected from the same trial. Different measurements are being taken including leachate (measurements of mineralised nitrogen), microbiology and gas emissions (using a Picarro device that measures NH3, N2O, CO2, CH4, O2, H2O). Simultaneously, underground sensors are being used to understand moisture and temperature evolution in the soil column, while electrochemical nitrate sensors are being used to understand nitrate dynamics before and after application of organic amendments and inorganic fertilisers.
With this, we aim at having a better understanding on denitrification processes and nitrogen use efficiency issues that may occur when using a joint regime of organic amendments and inorganic fertilisers. The main objectives of the project are the validation of the effect of organic amendments in the Fosters long-term experiment and the quantification of nitrogen gas emissions with the application of organic amendments and nitrogen fertilisers.
How to cite: Albano, X., Sakrabani, R., and Haefele, S.: Effect of organic amendments and inorganic fertiliser application on nitrogen use efficiency and denitrification in controlled and field conditions, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-15032, https://doi.org/10.5194/egusphere-egu2020-15032, 2020.
EGU2020-2543 | Displays | BG1.2
Evaluation and adjustment of description of denitrification in the CoupModel, DNDC and DeNi model based on N2 and N2O laboratory mesocosm incubation system measurementsBalázs Grosz, Reinhard Well, Rene Dechow, Jan Reent Köster, M. Ibrahim Khalil, Hongxing He, Simone Merl, Andreas Rode, and Bianca Ziehmer
Quantifying soil nitrogen processes – especially denitrification – are critical for the adequate prediction of the produced and emitted N2O and N2 gasses and the production and consumption of NO3- and NH3. Biogeochemical models are useful tools for the description of these N processes, but recent research progress is not considered on the denitrification sub-modules of these models. Denitrification typically occurs in hot-spots of the soils but the models describe the soils as a homogenized system. Another critical problem is the calibration of the decomposition sub-modules. Suitable soil N2 flux data were not available during the development of the extensively used models but new measurement techniques provide appropriate N2 gas flux data.
In this study we investigate the N2 and N2O fluxes from mesocosm experiments of different complexity and use the measured data and experimental settings for testing the denitrification sub-module of existing biogeochemical models.
Two arable soils – a silty loam and a sandy soil – were used for the experiments and varied with N fertilization and organic matter amendment. The soils were incubated in laboratory incubation systems over 42 and 58 days, respectively. N2, N2O and CO2 fluxes were quantified by gas chromatography and isotope-ratio mass spectrometry. Seven moisture and three NO3- contents were set up to the loamy soil and only the temperature was manipulated during the experiment, while other factors were kept constant. In the experiment with the sandy soil, incubations were conducted with or without incorporation of organic litter (ryegrass) and initial water content was adjusted equivalent to 80% water-filled pore space. Temperature, water content and NO3- content were manipulated during that experiment.
Three commonly used biogeochemical models – namely CoupModel, DNDC and DeNi (a self programmed early stage version of the nitrification and denitrification sub-model of the DailyDayCent) – were tested on the experimental data.
The average N2+N2O fluxes of the loamy soil as given by measurements, DNDC, DeNi and CoupModel calculations was 287.5±202.3, 1.8±0.5, 779.1±282.2, 67.9±8.4 gN ha-1 day-1, respectively. For the sandy soil, these fluxes were 166.6±377.7, 23.7±34.7, 491.2±819.9 and 13.3±7.8 gN ha-1 day-1, respectively. The results show that the models did not calculate the same magnitude of the measured values. The DeNi model overestimated and the DNDC and CoupModel underestimated the measured fluxes. However, in some cases the temporal patterns of the measured and the modeled emission were similar. Most cases of over- or underestimations by the models could be explained by certain deficiencies of the models or of the experimental data.
How to cite: Grosz, B., Well, R., Dechow, R., Köster, J. R., Khalil, M. I., He, H., Merl, S., Rode, A., and Ziehmer, B.: Evaluation and adjustment of description of denitrification in the CoupModel, DNDC and DeNi model based on N2 and N2O laboratory mesocosm incubation system measurements, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2543, https://doi.org/10.5194/egusphere-egu2020-2543, 2020.
Quantifying soil nitrogen processes – especially denitrification – are critical for the adequate prediction of the produced and emitted N2O and N2 gasses and the production and consumption of NO3- and NH3. Biogeochemical models are useful tools for the description of these N processes, but recent research progress is not considered on the denitrification sub-modules of these models. Denitrification typically occurs in hot-spots of the soils but the models describe the soils as a homogenized system. Another critical problem is the calibration of the decomposition sub-modules. Suitable soil N2 flux data were not available during the development of the extensively used models but new measurement techniques provide appropriate N2 gas flux data.
In this study we investigate the N2 and N2O fluxes from mesocosm experiments of different complexity and use the measured data and experimental settings for testing the denitrification sub-module of existing biogeochemical models.
Two arable soils – a silty loam and a sandy soil – were used for the experiments and varied with N fertilization and organic matter amendment. The soils were incubated in laboratory incubation systems over 42 and 58 days, respectively. N2, N2O and CO2 fluxes were quantified by gas chromatography and isotope-ratio mass spectrometry. Seven moisture and three NO3- contents were set up to the loamy soil and only the temperature was manipulated during the experiment, while other factors were kept constant. In the experiment with the sandy soil, incubations were conducted with or without incorporation of organic litter (ryegrass) and initial water content was adjusted equivalent to 80% water-filled pore space. Temperature, water content and NO3- content were manipulated during that experiment.
Three commonly used biogeochemical models – namely CoupModel, DNDC and DeNi (a self programmed early stage version of the nitrification and denitrification sub-model of the DailyDayCent) – were tested on the experimental data.
The average N2+N2O fluxes of the loamy soil as given by measurements, DNDC, DeNi and CoupModel calculations was 287.5±202.3, 1.8±0.5, 779.1±282.2, 67.9±8.4 gN ha-1 day-1, respectively. For the sandy soil, these fluxes were 166.6±377.7, 23.7±34.7, 491.2±819.9 and 13.3±7.8 gN ha-1 day-1, respectively. The results show that the models did not calculate the same magnitude of the measured values. The DeNi model overestimated and the DNDC and CoupModel underestimated the measured fluxes. However, in some cases the temporal patterns of the measured and the modeled emission were similar. Most cases of over- or underestimations by the models could be explained by certain deficiencies of the models or of the experimental data.
How to cite: Grosz, B., Well, R., Dechow, R., Köster, J. R., Khalil, M. I., He, H., Merl, S., Rode, A., and Ziehmer, B.: Evaluation and adjustment of description of denitrification in the CoupModel, DNDC and DeNi model based on N2 and N2O laboratory mesocosm incubation system measurements, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2543, https://doi.org/10.5194/egusphere-egu2020-2543, 2020.
EGU2020-19467 | Displays | BG1.2
Understanding the Dynamics of Denitrification with high-resolution SimulationsOlaf Ippisch, Jan Zawallich, Peter Dörsch, Steffen Schlüter, Marcus A. Horn, and Hans-Jörg Vogel
Denitrification in unsaturated soils is widely assumed to be a result a result of the formation of so-called hot spots. However, this is a hypothesis, which is hard to test experimentally. Furthermore a better understanding of the microscale dynamics might be very helpful to derive better models at the macroscale.
Experiments have been conducted, where artificial aggregates from sintered glas have been inocculated with microorganisms and been placed in environments with different oxygen availabilities. Very high-resolution simulations are conducted to reproduce the dynamic of the generation of nitric and nitrous oxide based on a model of microbial growth parametrised with experimental data from batch experiments. The simulations allow a detailed analysis of the local and temporal dynamics of denitrification inside the aggregates.
How to cite: Ippisch, O., Zawallich, J., Dörsch, P., Schlüter, S., Horn, M. A., and Vogel, H.-J.: Understanding the Dynamics of Denitrification with high-resolution Simulations, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19467, https://doi.org/10.5194/egusphere-egu2020-19467, 2020.
Denitrification in unsaturated soils is widely assumed to be a result a result of the formation of so-called hot spots. However, this is a hypothesis, which is hard to test experimentally. Furthermore a better understanding of the microscale dynamics might be very helpful to derive better models at the macroscale.
Experiments have been conducted, where artificial aggregates from sintered glas have been inocculated with microorganisms and been placed in environments with different oxygen availabilities. Very high-resolution simulations are conducted to reproduce the dynamic of the generation of nitric and nitrous oxide based on a model of microbial growth parametrised with experimental data from batch experiments. The simulations allow a detailed analysis of the local and temporal dynamics of denitrification inside the aggregates.
How to cite: Ippisch, O., Zawallich, J., Dörsch, P., Schlüter, S., Horn, M. A., and Vogel, H.-J.: Understanding the Dynamics of Denitrification with high-resolution Simulations, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19467, https://doi.org/10.5194/egusphere-egu2020-19467, 2020.
EGU2020-1763 | Displays | BG1.2
Effects of the nitrification inhibitor nitrapyrin on urea-based fertilizers in a Mediterranean calcareous soil: N dynamics and microbial functional genes.Georgios Giannopoulos, Lars Elsgaard, Georgios Zanakis, Rima B. Franklin, Bonnie L. Brown, and Nikolaos Barbayannis
Nitrogen (N) fertilization is an essential agronomic practice, which increases crop yields and improves soil fertility. Globally, more than 110 x 109 kg of chemical N fertilizers are applied each year with urea-N being one of the most affordable options. Upon urea hydrolysis, any portion not assimilated by crops is either volatilized as NH3 or microbially nitrified (i.e., NH4+ oxidized) to leachable NO3- and NO2-. Nitrification inhibitors (NI) are increasingly co-applied as a sustainable agricultural practice and block the process of nitrification, resulting in a temporal increase of NH4+ in the soils. Several studies have documented the effectiveness of NIs in retaining soil NH4+ and increasing crop yields, but less is known about the effects of NIs on the fate of urea–N and the overall impact of NIs on the soil microbial community.
In a 60 day soil mesocosm experiment, we investigated the effects of Nitrapyrin (NI; 2-chloro-6-(trichloromethyl)pyridine) co-applied with a selection of urea-based fertilizers: urea (U); U with urease inhibitors (U+UI); methylene-urea (MU); and zeolite-coated urea (ZU), on a typical Mediterranean soil under ambient summer conditions. We showed that NI applied with urea fertilizers resulted in a slower decay of extractable NH4+ with a concurrent increase in NH3 volatilization. Integrated measures of soil NH4+ were 1.5 to 3.3-fold greater when NI was applied. At the same time, there was a 10 to 60% reduction in integrated measures of NO3- and NO2- when NI was applied with the tested fertilizer types, except MU fertilizer where the integrated measures of NO3- and NO2- doubled. Upon urea hydrolysis, the released NH4+ was transformed to NO3- and NO2-, which subsequently decreased in concentration following a typical nitrification - denitrification pathway in the absence of plants. Soil N2O emissions from urea fertilizers were reduced by 40% with UI, 50% with NI, and 66% with NI + UI.
Interestingly, 15 days after the application of NI, there was a decrease in bacterial abundance (eub genes; qPCR) in all fertilized treatments. NI dramatically reduced the abundance of ammonia-oxidizing microbes (amoA genes) and there were fewer bacteria associated with denitrification genes (nirK, nirS, nosZ) when NI was applied.
At the end of the experiment, there was no significant difference in total N among all fertilized soils. Total N was in excess when compared to the control, and it was a considerable N pool potentially immobilized in microbial biomass in the absence of crops.
In conclusion, the use of NI doubled NH4+ retention in the soil and decreased soil N2O emission by 50%, through negatively affecting ammonia oxidizing and denitrifying microbes and subsequently reducing soil available NO3- and NO2-. The application of NIs should be carefully planned and synchronized (timing) with crop growth to reduce subsequent N transformations and N loss to the environment.
Keywords: urea, zeolite, methylene-urea, nitrification inhibitor, nitrapyrin, calcareous soil, soil nitrogen
How to cite: Giannopoulos, G., Elsgaard, L., Zanakis, G., B. Franklin, R., L. Brown, B., and Barbayannis, N.: Effects of the nitrification inhibitor nitrapyrin on urea-based fertilizers in a Mediterranean calcareous soil: N dynamics and microbial functional genes., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1763, https://doi.org/10.5194/egusphere-egu2020-1763, 2020.
Nitrogen (N) fertilization is an essential agronomic practice, which increases crop yields and improves soil fertility. Globally, more than 110 x 109 kg of chemical N fertilizers are applied each year with urea-N being one of the most affordable options. Upon urea hydrolysis, any portion not assimilated by crops is either volatilized as NH3 or microbially nitrified (i.e., NH4+ oxidized) to leachable NO3- and NO2-. Nitrification inhibitors (NI) are increasingly co-applied as a sustainable agricultural practice and block the process of nitrification, resulting in a temporal increase of NH4+ in the soils. Several studies have documented the effectiveness of NIs in retaining soil NH4+ and increasing crop yields, but less is known about the effects of NIs on the fate of urea–N and the overall impact of NIs on the soil microbial community.
In a 60 day soil mesocosm experiment, we investigated the effects of Nitrapyrin (NI; 2-chloro-6-(trichloromethyl)pyridine) co-applied with a selection of urea-based fertilizers: urea (U); U with urease inhibitors (U+UI); methylene-urea (MU); and zeolite-coated urea (ZU), on a typical Mediterranean soil under ambient summer conditions. We showed that NI applied with urea fertilizers resulted in a slower decay of extractable NH4+ with a concurrent increase in NH3 volatilization. Integrated measures of soil NH4+ were 1.5 to 3.3-fold greater when NI was applied. At the same time, there was a 10 to 60% reduction in integrated measures of NO3- and NO2- when NI was applied with the tested fertilizer types, except MU fertilizer where the integrated measures of NO3- and NO2- doubled. Upon urea hydrolysis, the released NH4+ was transformed to NO3- and NO2-, which subsequently decreased in concentration following a typical nitrification - denitrification pathway in the absence of plants. Soil N2O emissions from urea fertilizers were reduced by 40% with UI, 50% with NI, and 66% with NI + UI.
Interestingly, 15 days after the application of NI, there was a decrease in bacterial abundance (eub genes; qPCR) in all fertilized treatments. NI dramatically reduced the abundance of ammonia-oxidizing microbes (amoA genes) and there were fewer bacteria associated with denitrification genes (nirK, nirS, nosZ) when NI was applied.
At the end of the experiment, there was no significant difference in total N among all fertilized soils. Total N was in excess when compared to the control, and it was a considerable N pool potentially immobilized in microbial biomass in the absence of crops.
In conclusion, the use of NI doubled NH4+ retention in the soil and decreased soil N2O emission by 50%, through negatively affecting ammonia oxidizing and denitrifying microbes and subsequently reducing soil available NO3- and NO2-. The application of NIs should be carefully planned and synchronized (timing) with crop growth to reduce subsequent N transformations and N loss to the environment.
Keywords: urea, zeolite, methylene-urea, nitrification inhibitor, nitrapyrin, calcareous soil, soil nitrogen
How to cite: Giannopoulos, G., Elsgaard, L., Zanakis, G., B. Franklin, R., L. Brown, B., and Barbayannis, N.: Effects of the nitrification inhibitor nitrapyrin on urea-based fertilizers in a Mediterranean calcareous soil: N dynamics and microbial functional genes., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1763, https://doi.org/10.5194/egusphere-egu2020-1763, 2020.
EGU2020-6567 | Displays | BG1.2
Seasonal comparison of potential denitrification rates and nitrogen functional genes with sediment depths in the wetland, KoreaJi Yeon Han, Dong-Hun Kim, Seolran Oh, and Hee Sun Moon
EGU2020-20866 | Displays | BG1.2
Advancing our understanding of novel nitrous oxide reducersJun Shan, Sean Ooi, Robert A Sanford, Joanne Chee-Sanford, Frank Löffler, Kostas Konstantinidis, and Wendy H. Yang
Sources of N2O (nitrous oxide) are multiple in the biosphere, but the only known process consuming N2O is the microbial reduction of N2O to dinitrogen (N2), which has traditionally been attributed to denitrifying bacteria and archaea. Recently, N2O reductase genes (nosZ) clearly phylogenetically differentiated from “typical” NosZ (Clade I) were shown to be more abundant in many soil ecosystems than “typical” nosZ genes, suggesting that our understanding of the role of nosZ in controlling soil N2O emissions was incomplete. This more abundant group of nosZ genes was designated as “atypical NosZ” or Clade II. Here, by synthesizing a meta-data of the 631 peer-reviewed papers published on NosZ in the six years since NosZ Clade II was first reported in the literature, we found that only 10% of studies evaluated Clade II NosZ and an additional 7% of papers merely mentioned Clade II NosZ showing little awareness of this novel gene. In addition, disciplinary silos also contribute to the slow spread of awareness about Clade II nosZ. A lack of consensus on the terminology used to refer to Clade I versus Clade II nosZ (more than 17 terminologies) may contribute to confusion about the two clades. Finally, we proposed several recommendations to accelerate progress in understanding the roles of Clade I versus Clade II N2O reducers in controlling soil N2O emissions.
How to cite: Shan, J., Ooi, S., Sanford, R. A., Chee-Sanford, J., Löffler, F., Konstantinidis, K., and Yang, W. H.: Advancing our understanding of novel nitrous oxide reducers, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20866, https://doi.org/10.5194/egusphere-egu2020-20866, 2020.
Sources of N2O (nitrous oxide) are multiple in the biosphere, but the only known process consuming N2O is the microbial reduction of N2O to dinitrogen (N2), which has traditionally been attributed to denitrifying bacteria and archaea. Recently, N2O reductase genes (nosZ) clearly phylogenetically differentiated from “typical” NosZ (Clade I) were shown to be more abundant in many soil ecosystems than “typical” nosZ genes, suggesting that our understanding of the role of nosZ in controlling soil N2O emissions was incomplete. This more abundant group of nosZ genes was designated as “atypical NosZ” or Clade II. Here, by synthesizing a meta-data of the 631 peer-reviewed papers published on NosZ in the six years since NosZ Clade II was first reported in the literature, we found that only 10% of studies evaluated Clade II NosZ and an additional 7% of papers merely mentioned Clade II NosZ showing little awareness of this novel gene. In addition, disciplinary silos also contribute to the slow spread of awareness about Clade II nosZ. A lack of consensus on the terminology used to refer to Clade I versus Clade II nosZ (more than 17 terminologies) may contribute to confusion about the two clades. Finally, we proposed several recommendations to accelerate progress in understanding the roles of Clade I versus Clade II N2O reducers in controlling soil N2O emissions.
How to cite: Shan, J., Ooi, S., Sanford, R. A., Chee-Sanford, J., Löffler, F., Konstantinidis, K., and Yang, W. H.: Advancing our understanding of novel nitrous oxide reducers, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20866, https://doi.org/10.5194/egusphere-egu2020-20866, 2020.
EGU2020-12613 | Displays | BG1.2
Formation and succession of microbial community structure in different ecological niches under reclaimed water acclimationJie Li, Yujiao Sun, Xiaoyu Wang, Meng Yin, and Shangwei Xu
Using reclaimed water as a resource for landscape water replenishment may alleviate the major problems of water resource shortages and water environment pollution. However, the safety of the water and the risk of eutrophication remain doubted by the public. Our study aimed to reveal the difference between natural water and reclaimed water and to discuss the rationality of reclaimed water replenishment from the perspective of microorganisms. We analyzed the microbial community structures in natural water, reclaimed water and natural biofilms and the community succession was clarified along the ecological niches, water resources, liquidity and time using 16S rRNA gene amplicon sequencing. Primary biofilms without the original community were added to study the formation of microbial community structures under reclaimed water acclimation. The results showed that the difference caused by ecological niches was more than those caused by the liquidity of water and different water resources. No significant difference was found in the microbial diversity and community structure caused by the addition of reclaimed water. Based on the microbial analysis, reclaimed water replenishment is a feasible solution that can be used for supplying river water. Innovatively, we introduced the study of biofilms and determined that the monitoring of biofilms or sediments closely related to water was also important for the early warning of water bloom, providing a unique perspective for the management of eutrophication.
How to cite: Li, J., Sun, Y., Wang, X., Yin, M., and Xu, S.: Formation and succession of microbial community structure in different ecological niches under reclaimed water acclimation, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12613, https://doi.org/10.5194/egusphere-egu2020-12613, 2020.
Using reclaimed water as a resource for landscape water replenishment may alleviate the major problems of water resource shortages and water environment pollution. However, the safety of the water and the risk of eutrophication remain doubted by the public. Our study aimed to reveal the difference between natural water and reclaimed water and to discuss the rationality of reclaimed water replenishment from the perspective of microorganisms. We analyzed the microbial community structures in natural water, reclaimed water and natural biofilms and the community succession was clarified along the ecological niches, water resources, liquidity and time using 16S rRNA gene amplicon sequencing. Primary biofilms without the original community were added to study the formation of microbial community structures under reclaimed water acclimation. The results showed that the difference caused by ecological niches was more than those caused by the liquidity of water and different water resources. No significant difference was found in the microbial diversity and community structure caused by the addition of reclaimed water. Based on the microbial analysis, reclaimed water replenishment is a feasible solution that can be used for supplying river water. Innovatively, we introduced the study of biofilms and determined that the monitoring of biofilms or sediments closely related to water was also important for the early warning of water bloom, providing a unique perspective for the management of eutrophication.
How to cite: Li, J., Sun, Y., Wang, X., Yin, M., and Xu, S.: Formation and succession of microbial community structure in different ecological niches under reclaimed water acclimation, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12613, https://doi.org/10.5194/egusphere-egu2020-12613, 2020.
EGU2020-5713 | Displays | BG1.2
Responses to dissolved organic nitrogen compounds by recently isolated freshwater microalgae speciesCatherine E. Bayliss, Penny Johnes, Richard P. Evershed, Patricia Sanchez-Baracaldo, and Stephen C. Maberly
Freshwater microalgae isolates from a UK headwater catchment (collected in 2017) were tested for their growth and media nitrogen speciation changes when presented with low molecular weight dissolved organic nitrogen compounds. The location has input from livestock run off increasing organic matter in stream. Experimental treatments and initial isolation took place in controlled culture cabinets kept at 15°C, with a 16:8 light:dark cycle and light c.a. 50 µmol m-2 s-1. Treatments included separately presented urea and glutamate, alongside negative (no N or P sources) and positive controls (nitrate or ammonium). Nitrogen addition treatments were provided with the same phosphorus source, trace minerals, trace metals and took place for two weeks. Different species isolated from the location showed optimal growth on different organic nitrogen sources. Organic nitrogen compounds caused growth at least comparable to inorganic sources. Cell growth was best on dissolved organic nitrogen compounds for some species. This relatively quick cycling of organic nitrogen compounds in river systems to photosynthetic growth has implications for ecosystem heath and capacity to mitigate organic nitrogen inputs. Anthropogenic activity that increases organic nitrogen may favour certain species compositions, altering downstream ecosystem functions such as algal bloom formation and dominant microalgae species. Further work will use stable isotope investigation of potential uptake mechanisms and wider work is required on understanding how the ecosystem may respond to organic nitrogen changes.
How to cite: Bayliss, C. E., Johnes, P., Evershed, R. P., Sanchez-Baracaldo, P., and Maberly, S. C.: Responses to dissolved organic nitrogen compounds by recently isolated freshwater microalgae species, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5713, https://doi.org/10.5194/egusphere-egu2020-5713, 2020.
Freshwater microalgae isolates from a UK headwater catchment (collected in 2017) were tested for their growth and media nitrogen speciation changes when presented with low molecular weight dissolved organic nitrogen compounds. The location has input from livestock run off increasing organic matter in stream. Experimental treatments and initial isolation took place in controlled culture cabinets kept at 15°C, with a 16:8 light:dark cycle and light c.a. 50 µmol m-2 s-1. Treatments included separately presented urea and glutamate, alongside negative (no N or P sources) and positive controls (nitrate or ammonium). Nitrogen addition treatments were provided with the same phosphorus source, trace minerals, trace metals and took place for two weeks. Different species isolated from the location showed optimal growth on different organic nitrogen sources. Organic nitrogen compounds caused growth at least comparable to inorganic sources. Cell growth was best on dissolved organic nitrogen compounds for some species. This relatively quick cycling of organic nitrogen compounds in river systems to photosynthetic growth has implications for ecosystem heath and capacity to mitigate organic nitrogen inputs. Anthropogenic activity that increases organic nitrogen may favour certain species compositions, altering downstream ecosystem functions such as algal bloom formation and dominant microalgae species. Further work will use stable isotope investigation of potential uptake mechanisms and wider work is required on understanding how the ecosystem may respond to organic nitrogen changes.
How to cite: Bayliss, C. E., Johnes, P., Evershed, R. P., Sanchez-Baracaldo, P., and Maberly, S. C.: Responses to dissolved organic nitrogen compounds by recently isolated freshwater microalgae species, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5713, https://doi.org/10.5194/egusphere-egu2020-5713, 2020.
EGU2020-12833 | Displays | BG1.2
Separating and characterizing functional nitrogen degraders via magnetic-nanoparticle mediated isolation technology in high concentration of ammonia nitrogen wastewater treatmentMeng Yin, Yujiao Sun, Danyang Zheng, Lei Wang, Xiaohui Zhao, and Jie Li
Magnetic-nanoparticle mediated isolation (MMI) is a new method for isolating active functional microbes from complex microorganisms without substrate labeling. In this study, the composition and properties of the magnetic nanoparticles (MNPs)were characterized by a number of techniques. And then the MNPs were added to activated sludge rich in ammonia nitrogen-degrading bacteria after long-term stable treatment, another set of experiments plus urea was set as the only carbon source in the system. Compared with the group without MNPs, degradation experiment results showed that the ammonia nitrogen degradation ability of a group of MNPs was slightly improved. The high-throughput sequencing results showed that the addition of MNPs did not change the microbial community structure of activated sludge under long-term stable conditions, and that the addition of urea as a nitrogen source significantly changed the microbial community structure. RDA analysis results also showed that Comamonadaceae_unclassified and Thiobacillus absolutely dominated in situ ammonia degradation, and the change in dominant genera showed the same trend as the degradation rate of ammonia nitrogen. It has also proved that the complex flora after adding magnetic nanoparticles is more adaptable to newly introduced pollutants, using MMI to study pollutant-degrading microorganisms under in-situ conditions has a broad application prospect.
How to cite: Yin, M., Sun, Y., Zheng, D., Wang, L., Zhao, X., and Li, J.: Separating and characterizing functional nitrogen degraders via magnetic-nanoparticle mediated isolation technology in high concentration of ammonia nitrogen wastewater treatment, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12833, https://doi.org/10.5194/egusphere-egu2020-12833, 2020.
Magnetic-nanoparticle mediated isolation (MMI) is a new method for isolating active functional microbes from complex microorganisms without substrate labeling. In this study, the composition and properties of the magnetic nanoparticles (MNPs)were characterized by a number of techniques. And then the MNPs were added to activated sludge rich in ammonia nitrogen-degrading bacteria after long-term stable treatment, another set of experiments plus urea was set as the only carbon source in the system. Compared with the group without MNPs, degradation experiment results showed that the ammonia nitrogen degradation ability of a group of MNPs was slightly improved. The high-throughput sequencing results showed that the addition of MNPs did not change the microbial community structure of activated sludge under long-term stable conditions, and that the addition of urea as a nitrogen source significantly changed the microbial community structure. RDA analysis results also showed that Comamonadaceae_unclassified and Thiobacillus absolutely dominated in situ ammonia degradation, and the change in dominant genera showed the same trend as the degradation rate of ammonia nitrogen. It has also proved that the complex flora after adding magnetic nanoparticles is more adaptable to newly introduced pollutants, using MMI to study pollutant-degrading microorganisms under in-situ conditions has a broad application prospect.
How to cite: Yin, M., Sun, Y., Zheng, D., Wang, L., Zhao, X., and Li, J.: Separating and characterizing functional nitrogen degraders via magnetic-nanoparticle mediated isolation technology in high concentration of ammonia nitrogen wastewater treatment, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12833, https://doi.org/10.5194/egusphere-egu2020-12833, 2020.
EGU2020-20953 | Displays | BG1.2
Archaea as Global Explorers: Let`s Exchange ATPase and Occupy More Extreme Habitats!Baozhan Wang and Wei Qin
The membrane rotary energy-yielding ATPases represent the cornerstone of cellular bioenergetics for all three domains of life. The archaeal ATPases (A-type ATPases) are functionally similar to the eukaryotic and bacterial F-type ATPases that catalyze ATP synthesis using a PMF. However, they are structurally more similar to the vacuolar-type (V-type) ATPases of eukaryotes and some bacteria that function as proton pumps driven by ATP hydrolysis. Significant variation in subunit composition, structure, and mechanism of the archaeal ATPases is thought to confer adaptive advantage in the variety of extreme environments that archaea inhabit.
The ammonia-oxidizing archaea are recognized to exert primary control of nitrification in the marine environment, are major contributors to soil nitrification, and have a habitat range extending from geothermal systems, to acidic soils and the oceanic abyss. The basis for their remarkable adaptive radiation is obscured by a relatively simple metabolism – autotrophic growth using ammonia for energy and nitrogen. In this study, we find that their adaptation to acidic habitats and the extreme pressures of the hadal zone of the ocean at depths below 6000 meters is correlated with horizontal transfer of a variant of the energy-yielding ATPase (atp) operon. Whereas the ATPase genealogy of neutrophilic soil and upper ocean pelagic AOA is congruent with their organismal genealogy inferred from concatenated conserved proteins, a common clade of V-type ATPases unites phylogenetically disparate clades of acidophilic and piezophilic species.
A function of the so-acquired V-ATPases in pumping excessive cytoplasmic protons at low pH is consistent with its increased expression by acid-tolerant AOA with decreasing pH. Consistently, heterologous expression of the thaumarchaeotal V-ATPase significantly increased the growth rate of E.coli at low pH. Additional support for adaptive significance derives from our observation that horizontal transfer is also associated with the adaptive radiation of Micrarchaeota, Parvarchaeota and Marsarchaeota into acidic environments. Their ATPases are affiliated with the acidophilic lineage ATPases of Thermoplasmatales and phylogenetically divergent from the corresponding species tree.
Another notable finding is that single hadopelagic AOA species contain both A- and V-type ATPases, suggesting that extensive horizontal transfer of atp operons is a highly active and ongoing process within AOA. The presence of an additional V-type ATPase in hadopelagic AOA may provide fitness advantages in the deep ocean with elevated hydrostatic pressure, as the proposed function of V-ATPase in pumping excessive cytoplasmic protons at high pressure may serve to maintain the cytosolic pH homeostasis in marine AOA.
Taken together, our study provides the first clear evidence of a significant role of horizontal transfer of atp operon in the adaptive radiation of AOA, one of the most successful organisms on Earth, and other archaeal species, spanning the TACK and DPANN superphyla as well as Euryarchaeota phylum.
How to cite: Wang, B. and Qin, W.: Archaea as Global Explorers: Let`s Exchange ATPase and Occupy More Extreme Habitats!, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20953, https://doi.org/10.5194/egusphere-egu2020-20953, 2020.
The membrane rotary energy-yielding ATPases represent the cornerstone of cellular bioenergetics for all three domains of life. The archaeal ATPases (A-type ATPases) are functionally similar to the eukaryotic and bacterial F-type ATPases that catalyze ATP synthesis using a PMF. However, they are structurally more similar to the vacuolar-type (V-type) ATPases of eukaryotes and some bacteria that function as proton pumps driven by ATP hydrolysis. Significant variation in subunit composition, structure, and mechanism of the archaeal ATPases is thought to confer adaptive advantage in the variety of extreme environments that archaea inhabit.
The ammonia-oxidizing archaea are recognized to exert primary control of nitrification in the marine environment, are major contributors to soil nitrification, and have a habitat range extending from geothermal systems, to acidic soils and the oceanic abyss. The basis for their remarkable adaptive radiation is obscured by a relatively simple metabolism – autotrophic growth using ammonia for energy and nitrogen. In this study, we find that their adaptation to acidic habitats and the extreme pressures of the hadal zone of the ocean at depths below 6000 meters is correlated with horizontal transfer of a variant of the energy-yielding ATPase (atp) operon. Whereas the ATPase genealogy of neutrophilic soil and upper ocean pelagic AOA is congruent with their organismal genealogy inferred from concatenated conserved proteins, a common clade of V-type ATPases unites phylogenetically disparate clades of acidophilic and piezophilic species.
A function of the so-acquired V-ATPases in pumping excessive cytoplasmic protons at low pH is consistent with its increased expression by acid-tolerant AOA with decreasing pH. Consistently, heterologous expression of the thaumarchaeotal V-ATPase significantly increased the growth rate of E.coli at low pH. Additional support for adaptive significance derives from our observation that horizontal transfer is also associated with the adaptive radiation of Micrarchaeota, Parvarchaeota and Marsarchaeota into acidic environments. Their ATPases are affiliated with the acidophilic lineage ATPases of Thermoplasmatales and phylogenetically divergent from the corresponding species tree.
Another notable finding is that single hadopelagic AOA species contain both A- and V-type ATPases, suggesting that extensive horizontal transfer of atp operons is a highly active and ongoing process within AOA. The presence of an additional V-type ATPase in hadopelagic AOA may provide fitness advantages in the deep ocean with elevated hydrostatic pressure, as the proposed function of V-ATPase in pumping excessive cytoplasmic protons at high pressure may serve to maintain the cytosolic pH homeostasis in marine AOA.
Taken together, our study provides the first clear evidence of a significant role of horizontal transfer of atp operon in the adaptive radiation of AOA, one of the most successful organisms on Earth, and other archaeal species, spanning the TACK and DPANN superphyla as well as Euryarchaeota phylum.
How to cite: Wang, B. and Qin, W.: Archaea as Global Explorers: Let`s Exchange ATPase and Occupy More Extreme Habitats!, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20953, https://doi.org/10.5194/egusphere-egu2020-20953, 2020.
EGU2020-1814 | Displays | BG1.2
Evaluating nitrogen isotopes as proxies for depositional redox conditions in shales: A case study from the Chang 7 Shale in the Ordos basin, North China.Ruiqian Chen and Guangdi Liu
Bulk sedimentary nitrogen isotopes (δ15N) have been used as an accurate redox proxy in well-preserved sedimentary systems, however, fewer studies of N-isotope have been performed in lacustrine shales. In this paper, we report the first δ15N data from the Chang 7 Shale from a core drilled in the Ordos Basin. Bulk δ15N values are significantly higher in Zone A (the Chang 73 and the lower part of the Chang 72 submembers, average = 9.4 ± 1.3‰) than in Zone B (the upper part of the Chang 72 and the Chang 71 submembers, average = 5.4 ± 1.5‰). Given the lithological characteristics and previous geochemical measurements, we suggest that sediments within Zone A of the Chang 7 Shale were mainly deposited under suboxic bottom water conditions, whereas Zone B sediments show evidence of deposition under oxic deep water regimes. Additionally, organic carbon isotopes (δ13Corg) and total nitrogen (TN) values were measured to characterize any processes that might control alteration of the bulk δ15N signal, including changes in organic matter source and post-depositional processes. Our results show that there is no significant difference in the organic carbon isotopes (δ13Corg) and total nitrogen (TN) values between the two zones. In conclusion, we suggest that the difference in δ15N values through the Chang 7 Shale primarily reflects differences in the depositional redox conditions and δ15N values of shale can provide important details regarding the depositional history of unconventional resource plays.
How to cite: Chen, R. and Liu, G.: Evaluating nitrogen isotopes as proxies for depositional redox conditions in shales: A case study from the Chang 7 Shale in the Ordos basin, North China., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1814, https://doi.org/10.5194/egusphere-egu2020-1814, 2020.
Bulk sedimentary nitrogen isotopes (δ15N) have been used as an accurate redox proxy in well-preserved sedimentary systems, however, fewer studies of N-isotope have been performed in lacustrine shales. In this paper, we report the first δ15N data from the Chang 7 Shale from a core drilled in the Ordos Basin. Bulk δ15N values are significantly higher in Zone A (the Chang 73 and the lower part of the Chang 72 submembers, average = 9.4 ± 1.3‰) than in Zone B (the upper part of the Chang 72 and the Chang 71 submembers, average = 5.4 ± 1.5‰). Given the lithological characteristics and previous geochemical measurements, we suggest that sediments within Zone A of the Chang 7 Shale were mainly deposited under suboxic bottom water conditions, whereas Zone B sediments show evidence of deposition under oxic deep water regimes. Additionally, organic carbon isotopes (δ13Corg) and total nitrogen (TN) values were measured to characterize any processes that might control alteration of the bulk δ15N signal, including changes in organic matter source and post-depositional processes. Our results show that there is no significant difference in the organic carbon isotopes (δ13Corg) and total nitrogen (TN) values between the two zones. In conclusion, we suggest that the difference in δ15N values through the Chang 7 Shale primarily reflects differences in the depositional redox conditions and δ15N values of shale can provide important details regarding the depositional history of unconventional resource plays.
How to cite: Chen, R. and Liu, G.: Evaluating nitrogen isotopes as proxies for depositional redox conditions in shales: A case study from the Chang 7 Shale in the Ordos basin, North China., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1814, https://doi.org/10.5194/egusphere-egu2020-1814, 2020.
BG1.3 – Do geochemical background values still exist?
EGU2020-761 | Displays | BG1.3
Determination of geochemical backgroud of waters of Kola Peninsula in order to decrease anthropogenic pollution in analysed areaDorota Moroniak-Wawryszuk, Mateusz Wawryszuk, Stanisław Chmiel, Miłosz Huber, Paweł Kramarz, Lesia Lata, and Sebastian Skupiński
In this study the geochemical background of waters of Kola Peninsula in the context of decreasing the athropogenic pollution in that region was indicated. The study was conducted on 14 water samples from different phases of hydrological cycle- precipitation water, snow-melting water, ground water, river water, lake water, sea water; also 12 samples of rocks and soils were used. pH of waters, conductivity, isotopic ratio of δ18O i δD, concentration of ions (anions and cations) along with metal ions were analysed. For conductivity measure InoLab 1 (WTW) was used, cations and anions were indicated by ions chromatograph (Metrohm MIC 3), metal ions were indicated by spectrometer ICP-MS (Thermo Xseries2). Laser analyzer PICARRO L2130 was used for defining the isotopic ratio of δ18O i δD. Soils and rocks samples were analysed using scanning electrone microscope (Hitachi SU6600) with EDS add-on and spectroscope XRF Epsilon 3 (Pananalytical).
The study showed significant impact of bedrock and soils on ion composition of waters in different locations in Kola Peninsula in example on several geogenical metal ions of P, F, Cl, Fe, Mn, Cu, Ni, S. Chemical composition of water backround is strictly related to polymetalic rocks and metal ores of the Baltic Shield which build analysed area. The waters' richness in alkali minerals is due to alkaline bedrock occuring in numerous areas of Kola Peninsula. The content of metal ions like Zn, Pb, Cr, Cd in numerous water samples indicates severe anthropogenic influence on water composition which can be especially noticed in the composition of surface water affected by the nearby heavy industry plants thus pollution of surface water.
Analisys of water samples proves significant impact of geological structure on chemical composition of water and should be considered in reclamation of natural environment of Kola Peninsula from anthropogenic pollution.
How to cite: Moroniak-Wawryszuk, D., Wawryszuk, M., Chmiel, S., Huber, M., Kramarz, P., Lata, L., and Skupiński, S.: Determination of geochemical backgroud of waters of Kola Peninsula in order to decrease anthropogenic pollution in analysed area, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-761, https://doi.org/10.5194/egusphere-egu2020-761, 2020.
In this study the geochemical background of waters of Kola Peninsula in the context of decreasing the athropogenic pollution in that region was indicated. The study was conducted on 14 water samples from different phases of hydrological cycle- precipitation water, snow-melting water, ground water, river water, lake water, sea water; also 12 samples of rocks and soils were used. pH of waters, conductivity, isotopic ratio of δ18O i δD, concentration of ions (anions and cations) along with metal ions were analysed. For conductivity measure InoLab 1 (WTW) was used, cations and anions were indicated by ions chromatograph (Metrohm MIC 3), metal ions were indicated by spectrometer ICP-MS (Thermo Xseries2). Laser analyzer PICARRO L2130 was used for defining the isotopic ratio of δ18O i δD. Soils and rocks samples were analysed using scanning electrone microscope (Hitachi SU6600) with EDS add-on and spectroscope XRF Epsilon 3 (Pananalytical).
The study showed significant impact of bedrock and soils on ion composition of waters in different locations in Kola Peninsula in example on several geogenical metal ions of P, F, Cl, Fe, Mn, Cu, Ni, S. Chemical composition of water backround is strictly related to polymetalic rocks and metal ores of the Baltic Shield which build analysed area. The waters' richness in alkali minerals is due to alkaline bedrock occuring in numerous areas of Kola Peninsula. The content of metal ions like Zn, Pb, Cr, Cd in numerous water samples indicates severe anthropogenic influence on water composition which can be especially noticed in the composition of surface water affected by the nearby heavy industry plants thus pollution of surface water.
Analisys of water samples proves significant impact of geological structure on chemical composition of water and should be considered in reclamation of natural environment of Kola Peninsula from anthropogenic pollution.
How to cite: Moroniak-Wawryszuk, D., Wawryszuk, M., Chmiel, S., Huber, M., Kramarz, P., Lata, L., and Skupiński, S.: Determination of geochemical backgroud of waters of Kola Peninsula in order to decrease anthropogenic pollution in analysed area, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-761, https://doi.org/10.5194/egusphere-egu2020-761, 2020.
EGU2020-2179 | Displays | BG1.3 | Highlight
Towards spatial machine learning to reveal hidden patterns and relationships in national and international geochemical databasesChaosheng Zhang
Environmental geochemistry is playing an increasingly important role in mineral exploration, environmental management, agricultural practices as well as links with health. With rapidly growing databases available at regional, national, and global scales, environmental geochemistry is facing the challenges in the “big data” era. One of the main challenges is to find out useful information hidden in a large volume of data, with the existence of spatial variation found at all the sizes of global, regional (in square kilometers), field (in square meters) and micro scales (in square centimeters). Meanwhile, the rapidly developing techniques in machine learning become useful tools for classification, identification of clusters/patterns, identification of relationships and prediction. This presentation demonstrates the potential uses of a few practical spatial machine learning techniques (spatial analyses) in environmental geochemistry: neighborhood statistics, hot spot analysis and geographically weighted regression.
Neighborhood (local) statistics are calculated using data within a neighborhood such as a moving window. In this way, spatial variation at the local level can be quantified and more details are revealed. Hot spot analysis techniques are capable of revealing hidden spatial patterns. The techniques of hot spot analysis including local index of spatial association (LISA) and Getis Ord Gi* are investigated using examples of geochemical databases in Ireland, China, the UK and the USA. The geographically weighted regression (GWR) explores the relationships between geochemical parameters and their influencing factors at the local level, which is effective in identifying the complex spatially varying relationships. Machine learning techniques are expected to play more important roles in environmental geochemistry. Challenges for more effective “data analytics” are currently emerging in the era of “big data”.
How to cite: Zhang, C.: Towards spatial machine learning to reveal hidden patterns and relationships in national and international geochemical databases, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2179, https://doi.org/10.5194/egusphere-egu2020-2179, 2020.
Environmental geochemistry is playing an increasingly important role in mineral exploration, environmental management, agricultural practices as well as links with health. With rapidly growing databases available at regional, national, and global scales, environmental geochemistry is facing the challenges in the “big data” era. One of the main challenges is to find out useful information hidden in a large volume of data, with the existence of spatial variation found at all the sizes of global, regional (in square kilometers), field (in square meters) and micro scales (in square centimeters). Meanwhile, the rapidly developing techniques in machine learning become useful tools for classification, identification of clusters/patterns, identification of relationships and prediction. This presentation demonstrates the potential uses of a few practical spatial machine learning techniques (spatial analyses) in environmental geochemistry: neighborhood statistics, hot spot analysis and geographically weighted regression.
Neighborhood (local) statistics are calculated using data within a neighborhood such as a moving window. In this way, spatial variation at the local level can be quantified and more details are revealed. Hot spot analysis techniques are capable of revealing hidden spatial patterns. The techniques of hot spot analysis including local index of spatial association (LISA) and Getis Ord Gi* are investigated using examples of geochemical databases in Ireland, China, the UK and the USA. The geographically weighted regression (GWR) explores the relationships between geochemical parameters and their influencing factors at the local level, which is effective in identifying the complex spatially varying relationships. Machine learning techniques are expected to play more important roles in environmental geochemistry. Challenges for more effective “data analytics” are currently emerging in the era of “big data”.
How to cite: Zhang, C.: Towards spatial machine learning to reveal hidden patterns and relationships in national and international geochemical databases, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2179, https://doi.org/10.5194/egusphere-egu2020-2179, 2020.
EGU2020-11699 | Displays | BG1.3
Estimation of natural background level of Cr(VI) in ultramafic rock related alluvial aquifers of central Greece: Comparison of results by statistical and deterministic preselection method approachesAriadne Argyraki, Konstantina Pyrgaki, Efstratios Kelepertzis, Fotini Botsou, and Ifigeneia Megremi
The definition of natural background concentration levels (NBLs) of geogenic trace metals in groundwater is a challenging issue, particularly in areas where anthropogenic activities are also present. The estimation of NBLs, in combination with environmental quality standards, in such areas is particularly important for the establishment of relevant groundwater threshold values. Over 100 groundwater samples were collected and analysed from four Cr(VI) impacted, alluvial groundwater bodies of central Greece during two consecutive hydrologic years. A common feature of the examined aquifers is the presence of weathered ultramafic rock material in the alluvial sediments. Most sampled boreholes (79 %) are used for irrigation, whereas 21 % of them are used for domestic drinking water supply. Hexavalent Cr concentrations in groundwater, ranging from below detection limit to 430 μg/L, have been attributed to both geogenic and anthropogenic factors. The scope of the present study is to estimate the NBL of Cr(VI) by using a classical statistical approach and a deterministic preselection method and test the comparability of results. In the statistical approach the distribution of samples versus Cr(VI) concentrations has been explored by using probability plots. In this way, the concentration variations within the examined groundwater bodies can be studied and the presence of sub-populations becomes evident by breaks in the slope. In the instance of the preselection method, the concentrations of a set of additional analyzed parameters in ground water, including major water ions and nitrate as well as dissolved oxygen, have been taken into account in order to categorize the samples into two groups of low and high anthropogenic influence, respectively. The comparability of the results derived by the two approaches are discussed in the context of EU Water Framework Directive.
How to cite: Argyraki, A., Pyrgaki, K., Kelepertzis, E., Botsou, F., and Megremi, I.: Estimation of natural background level of Cr(VI) in ultramafic rock related alluvial aquifers of central Greece: Comparison of results by statistical and deterministic preselection method approaches, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11699, https://doi.org/10.5194/egusphere-egu2020-11699, 2020.
The definition of natural background concentration levels (NBLs) of geogenic trace metals in groundwater is a challenging issue, particularly in areas where anthropogenic activities are also present. The estimation of NBLs, in combination with environmental quality standards, in such areas is particularly important for the establishment of relevant groundwater threshold values. Over 100 groundwater samples were collected and analysed from four Cr(VI) impacted, alluvial groundwater bodies of central Greece during two consecutive hydrologic years. A common feature of the examined aquifers is the presence of weathered ultramafic rock material in the alluvial sediments. Most sampled boreholes (79 %) are used for irrigation, whereas 21 % of them are used for domestic drinking water supply. Hexavalent Cr concentrations in groundwater, ranging from below detection limit to 430 μg/L, have been attributed to both geogenic and anthropogenic factors. The scope of the present study is to estimate the NBL of Cr(VI) by using a classical statistical approach and a deterministic preselection method and test the comparability of results. In the statistical approach the distribution of samples versus Cr(VI) concentrations has been explored by using probability plots. In this way, the concentration variations within the examined groundwater bodies can be studied and the presence of sub-populations becomes evident by breaks in the slope. In the instance of the preselection method, the concentrations of a set of additional analyzed parameters in ground water, including major water ions and nitrate as well as dissolved oxygen, have been taken into account in order to categorize the samples into two groups of low and high anthropogenic influence, respectively. The comparability of the results derived by the two approaches are discussed in the context of EU Water Framework Directive.
How to cite: Argyraki, A., Pyrgaki, K., Kelepertzis, E., Botsou, F., and Megremi, I.: Estimation of natural background level of Cr(VI) in ultramafic rock related alluvial aquifers of central Greece: Comparison of results by statistical and deterministic preselection method approaches, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11699, https://doi.org/10.5194/egusphere-egu2020-11699, 2020.
EGU2020-12342 | Displays | BG1.3
Spatial distribution maps of Cu, Pb, Zn, Cr, As and V in rural soils in northern part of Chile: The use of geochemical baseline values as an index in environmental assessment.Arturo Reyes and Jose Delgado
Soil pollution is a worldwide concern and several countries are established guidelines. In the case of Chile, the very diverse soils characteristics along the country made difficult to set guidelines to acceptable levels of potentially toxic elements (PTEs) in soils. However, due to several reasons such as anthropogenic contamination, and increment of erosion rates there is urgency in to establish guidelines values to this parameters. In Chile, the most of abandoned mining wastes are located in the northern part which could negatively have impacted the ecosystem and human health. Thus, in absence of guidelines to PTEs in soils, the use of regional geochemical baseline (GBL) as a reference values could be a first approach to preliminary determine pollution levels of PTEs in soils. The objective of this study was to use the calculated GBL values to determine the influence of mining activities on the levels of PTEs in soils and to determine the spatial distribution maps of PTEs. A regional mapping of soils was conducted in northern part of Chile during 2017-2018 and the pH, electrical conductivity, redox potential and concentration of PTEs was determined. A systematic sampling in a 20,000 square-kilometer area was conducted and 467 rural top and sub soil samples were taken to determine their physical and chemical composition. The content of PTEs was determined by ICP-OES. The GBL values were estimated following the upper-whisker limit method. The pH, electrical conductivity, and redox potential of soils were 4.9-9.5, 10.5-56,000 mS/cm, and 89.7-348.3 mV, respectively. The median concentration of Mn (695.9 mgkg-1) was the highest followed by V (148.4 mgkg-1), Ni (75.2 mgkg-1), Zn (59.7 mgkg-1), Cu (59.0 mgkg-1), Sb (34.0 mgkg-1), As (18.3 mgkg-1), Cr (17.9 mgkg-1), Sn (17.5 mgkg-1), Pb (14.6 mgkg-1), Co (13.0 mgkg-1), Cd (12.9 mgkg-1), Hg (3.6 mgkg-1), and Mo (3.3 mgkg-1). The GBL for Cu, Zn, V, As, Mo, and Sb were higher than the reported average for world soils. The spatial distribution maps of Cu, Pb, Zn, Cr, As and V were used to determine pollution levels. Statistical correlation models showed the influence of either abandoned mining sites or active mining operation on the pollution levels of PTEs in the surrounding soils. The geochemical baseline values could contribute for government decision-makers to choose the best available remediation technologies for the impacted area.
How to cite: Reyes, A. and Delgado, J.: Spatial distribution maps of Cu, Pb, Zn, Cr, As and V in rural soils in northern part of Chile: The use of geochemical baseline values as an index in environmental assessment., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12342, https://doi.org/10.5194/egusphere-egu2020-12342, 2020.
Soil pollution is a worldwide concern and several countries are established guidelines. In the case of Chile, the very diverse soils characteristics along the country made difficult to set guidelines to acceptable levels of potentially toxic elements (PTEs) in soils. However, due to several reasons such as anthropogenic contamination, and increment of erosion rates there is urgency in to establish guidelines values to this parameters. In Chile, the most of abandoned mining wastes are located in the northern part which could negatively have impacted the ecosystem and human health. Thus, in absence of guidelines to PTEs in soils, the use of regional geochemical baseline (GBL) as a reference values could be a first approach to preliminary determine pollution levels of PTEs in soils. The objective of this study was to use the calculated GBL values to determine the influence of mining activities on the levels of PTEs in soils and to determine the spatial distribution maps of PTEs. A regional mapping of soils was conducted in northern part of Chile during 2017-2018 and the pH, electrical conductivity, redox potential and concentration of PTEs was determined. A systematic sampling in a 20,000 square-kilometer area was conducted and 467 rural top and sub soil samples were taken to determine their physical and chemical composition. The content of PTEs was determined by ICP-OES. The GBL values were estimated following the upper-whisker limit method. The pH, electrical conductivity, and redox potential of soils were 4.9-9.5, 10.5-56,000 mS/cm, and 89.7-348.3 mV, respectively. The median concentration of Mn (695.9 mgkg-1) was the highest followed by V (148.4 mgkg-1), Ni (75.2 mgkg-1), Zn (59.7 mgkg-1), Cu (59.0 mgkg-1), Sb (34.0 mgkg-1), As (18.3 mgkg-1), Cr (17.9 mgkg-1), Sn (17.5 mgkg-1), Pb (14.6 mgkg-1), Co (13.0 mgkg-1), Cd (12.9 mgkg-1), Hg (3.6 mgkg-1), and Mo (3.3 mgkg-1). The GBL for Cu, Zn, V, As, Mo, and Sb were higher than the reported average for world soils. The spatial distribution maps of Cu, Pb, Zn, Cr, As and V were used to determine pollution levels. Statistical correlation models showed the influence of either abandoned mining sites or active mining operation on the pollution levels of PTEs in the surrounding soils. The geochemical baseline values could contribute for government decision-makers to choose the best available remediation technologies for the impacted area.
How to cite: Reyes, A. and Delgado, J.: Spatial distribution maps of Cu, Pb, Zn, Cr, As and V in rural soils in northern part of Chile: The use of geochemical baseline values as an index in environmental assessment., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12342, https://doi.org/10.5194/egusphere-egu2020-12342, 2020.
EGU2020-13246 | Displays | BG1.3
Trace element concentrations in road deposited sediments of Athens, Greece: A comparison with baseline soil dataParaskevi-Maria Kourgia and Ariadne Argyraki
Urban areas are typical examples of disturbed natural environments where human development has significantly altered the geochemical background of trace elements in surface soil and sediment. Road dusts and gully sediments are reflective of a wide range of anthropogenic activities in cities and are a useful resource for evaluating the level and distribution of trace metal contaminants in the surface environment. The evaluation of contamination in these sinks provides useful information of how the drainage system of the cities contributes to urban pollution.
A total of 26 urban road deposited sediment samples were collected from different altitudes within the Athens basin based on the hydrographic network of the area. The samples were analyzed for 33 elements following an aqua regia dissolution. Sample organic carbon content, pH and grain size distribution have been determined and magnetic susceptibility measurements and mineralogical analysis by powder X-ray diffraction were also performed in order to identify possible factors explaining the variability of elemental concentrations. Also, sixteen samples were analyzed for polycyclic aromatic hydrocarbons (PAHs) in order to detect their sources in the Athens urban environment.
Aqua regia concentrations in the analyzed sediments reached maximum values of 18 mg/kg for As, 2 mg/kg for Cd, 14 mg/kg Co, 193 mg/kg Cr, 640 mg/kg Cu, 25600 mg/kg Fe, 112 mg/kg Ni, 3092 mg/kg Pb and 1469 mg/kg Zn. The median values of the studied elements were estimated to be 13 mg/kg for As, 1 mg/kg for Cd, 8 mg/kg Co, 98 mg/kg Cr, 215 mg/kg Cu, 17154 mg/kg Fe, 70 mg/kg Ni, 267 mg/kg Pb and 598 mg/kg Zn, respectively. With the exception of Co and As, both maximum and median values were found to be much higher than those in Athens soils from a previous study. Cluster analysis on the results identified two major groups of elements based on an over 43.59% criterion of similarity. The first cluster contains elements of geogenic origin including Co, Fe, Mn and Ni. The parameters of % organic carbon, magnetic susceptibility, Cu and Cr are grouped together in a second cluster showing a similarity level over 65% while a third cluster groups together Pb, Zn and Cd and is interpreted as anthropogenic.
In a previous systematic baseline study of Athens, it was found that the major factor controlling variability of the chemical composition of surface soil was the bedrock chemistry, resulting in a significant enrichment in concentrations of Ni, Cr, Co and possibly As. Anthropogenic influences were also significant in soil, controlling a spectrum of elements that are typical of human activities, i.e. Pb, Zn, Cu, Cd, Sb, and Sn. The clustering of elements in the present study indicates that although the geogenic origin of some elements is retained in road sediments, a greater number of elements indicate anthropogenic influence in their distribution. Briefly, it was documented that road deposited sediments reflect the characteristics of the anthropogenic activities taking place, and that traffic- related activities are the primary sources of contaminants.
How to cite: Kourgia, P.-M. and Argyraki, A.: Trace element concentrations in road deposited sediments of Athens, Greece: A comparison with baseline soil data, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13246, https://doi.org/10.5194/egusphere-egu2020-13246, 2020.
Urban areas are typical examples of disturbed natural environments where human development has significantly altered the geochemical background of trace elements in surface soil and sediment. Road dusts and gully sediments are reflective of a wide range of anthropogenic activities in cities and are a useful resource for evaluating the level and distribution of trace metal contaminants in the surface environment. The evaluation of contamination in these sinks provides useful information of how the drainage system of the cities contributes to urban pollution.
A total of 26 urban road deposited sediment samples were collected from different altitudes within the Athens basin based on the hydrographic network of the area. The samples were analyzed for 33 elements following an aqua regia dissolution. Sample organic carbon content, pH and grain size distribution have been determined and magnetic susceptibility measurements and mineralogical analysis by powder X-ray diffraction were also performed in order to identify possible factors explaining the variability of elemental concentrations. Also, sixteen samples were analyzed for polycyclic aromatic hydrocarbons (PAHs) in order to detect their sources in the Athens urban environment.
Aqua regia concentrations in the analyzed sediments reached maximum values of 18 mg/kg for As, 2 mg/kg for Cd, 14 mg/kg Co, 193 mg/kg Cr, 640 mg/kg Cu, 25600 mg/kg Fe, 112 mg/kg Ni, 3092 mg/kg Pb and 1469 mg/kg Zn. The median values of the studied elements were estimated to be 13 mg/kg for As, 1 mg/kg for Cd, 8 mg/kg Co, 98 mg/kg Cr, 215 mg/kg Cu, 17154 mg/kg Fe, 70 mg/kg Ni, 267 mg/kg Pb and 598 mg/kg Zn, respectively. With the exception of Co and As, both maximum and median values were found to be much higher than those in Athens soils from a previous study. Cluster analysis on the results identified two major groups of elements based on an over 43.59% criterion of similarity. The first cluster contains elements of geogenic origin including Co, Fe, Mn and Ni. The parameters of % organic carbon, magnetic susceptibility, Cu and Cr are grouped together in a second cluster showing a similarity level over 65% while a third cluster groups together Pb, Zn and Cd and is interpreted as anthropogenic.
In a previous systematic baseline study of Athens, it was found that the major factor controlling variability of the chemical composition of surface soil was the bedrock chemistry, resulting in a significant enrichment in concentrations of Ni, Cr, Co and possibly As. Anthropogenic influences were also significant in soil, controlling a spectrum of elements that are typical of human activities, i.e. Pb, Zn, Cu, Cd, Sb, and Sn. The clustering of elements in the present study indicates that although the geogenic origin of some elements is retained in road sediments, a greater number of elements indicate anthropogenic influence in their distribution. Briefly, it was documented that road deposited sediments reflect the characteristics of the anthropogenic activities taking place, and that traffic- related activities are the primary sources of contaminants.
How to cite: Kourgia, P.-M. and Argyraki, A.: Trace element concentrations in road deposited sediments of Athens, Greece: A comparison with baseline soil data, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13246, https://doi.org/10.5194/egusphere-egu2020-13246, 2020.
EGU2020-18709 | Displays | BG1.3 | Highlight
Highlights on a UNESCO/Sida project to assess the environmental and health challenges of mining activities in Sub-Saharan AfricaToteu S. Félix
Mining is an important pillar of economic growth of many African countries. However, problems arising from this activity pose serious challenges, which most of these countries have difficulties to address properly because of poor environmental governance as highlighted in the Africa Mining Vision. Many African countries also lack a precise inventory and assessment of environmental impacts of abandoned and derelict mines. As a consequence, there is an urgent need to evaluate the true extent of the detrimental effects of metal and metalloid pollutants and their impact on human and animal health, as well as on ecosystems. Between 2013 and 2017 and thanks to a Partnership Programme between UNESCO and the Swedish International Development Cooperation Agency (Sida), a network of over 100 Earth scientists from 29 Africa assessed the impacts of mining activities in sub-Saharan Africa. The project intended to provide crucial scientific knowledge that will contribute to understanding the factors that control cycling of pollutants from mine sites (abandoned or active) to soils, water and vegetation and the impact on the food chain. We anticipate that the results of the project will be used to improve the environmental norms in individual countries in Sub-Saharan Africa and the efficiency of governments in addressing the challenges related to the adverse effects of mining activities. The preliminary results of the project have recently been published as a Special Issue in the Journal of Geochemical Exploration. During the presentation, we intend to highlight few examples where mining activities alone or in interaction geological background are contributing to threat the ecosystem and health of neighbouring communities. We will also draw the lessons learnt from the implementation of this continental-scale project.
How to cite: S. Félix, T.: Highlights on a UNESCO/Sida project to assess the environmental and health challenges of mining activities in Sub-Saharan Africa, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18709, https://doi.org/10.5194/egusphere-egu2020-18709, 2020.
Mining is an important pillar of economic growth of many African countries. However, problems arising from this activity pose serious challenges, which most of these countries have difficulties to address properly because of poor environmental governance as highlighted in the Africa Mining Vision. Many African countries also lack a precise inventory and assessment of environmental impacts of abandoned and derelict mines. As a consequence, there is an urgent need to evaluate the true extent of the detrimental effects of metal and metalloid pollutants and their impact on human and animal health, as well as on ecosystems. Between 2013 and 2017 and thanks to a Partnership Programme between UNESCO and the Swedish International Development Cooperation Agency (Sida), a network of over 100 Earth scientists from 29 Africa assessed the impacts of mining activities in sub-Saharan Africa. The project intended to provide crucial scientific knowledge that will contribute to understanding the factors that control cycling of pollutants from mine sites (abandoned or active) to soils, water and vegetation and the impact on the food chain. We anticipate that the results of the project will be used to improve the environmental norms in individual countries in Sub-Saharan Africa and the efficiency of governments in addressing the challenges related to the adverse effects of mining activities. The preliminary results of the project have recently been published as a Special Issue in the Journal of Geochemical Exploration. During the presentation, we intend to highlight few examples where mining activities alone or in interaction geological background are contributing to threat the ecosystem and health of neighbouring communities. We will also draw the lessons learnt from the implementation of this continental-scale project.
How to cite: S. Félix, T.: Highlights on a UNESCO/Sida project to assess the environmental and health challenges of mining activities in Sub-Saharan Africa, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18709, https://doi.org/10.5194/egusphere-egu2020-18709, 2020.
EGU2020-21458 | Displays | BG1.3
Spatial anomalies of uranium background levels in groundwater of Lower SaxonyRoland Stumpf, Dörte Budziak, Nico Deus, and Jörg Elbracht
Uranium is a trace metal yielding an average concentration in the Earth’s crust of about 2 to 4 mg/kg, and it occurs naturally in low levels in rock, soil, and water. Although widely known for its radioactive properties, at low levels dissolved uranium is more harmful by its chemical toxicity. The World Health Organisation (WHO) recommends a maximum concentration of 30 µg/l uranium in tap water, as well as a tolerable daily intake limit of 0.6 µg/kg body weight. Since 2011, tap water in Germany must not exceed uranium concentrations of 10 µg/l.
The uranium budget of the groundwater in Lower Saxony comprises mainly of geogenic input through water-rock interaction along the hydrological cycle and within the respective hydrogeological units, and possibly through century-old mining activities, and more recently the use of uranium bearing mineral fertilisers in farming. While the vast majority of uranium concentrations are significantly below 10 µg/l with many values below detection limit, some detached areas display elevated uranium with one confined maximum concentration of 124 µg/l. In order to determine uranium background values, statistical analyses accounted for hydrogeological units of the aquifer, land use, and well depths. Anomalous peak concentrations are unlikely to be a result of variations in geogenic background values alone and require further investigations. A possible rise of uranium concentrations caused by a downward shifting redox front, as proposed in other regions in Northern Germany, is yet to be identified in Lower Saxony.
How to cite: Stumpf, R., Budziak, D., Deus, N., and Elbracht, J.: Spatial anomalies of uranium background levels in groundwater of Lower Saxony, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21458, https://doi.org/10.5194/egusphere-egu2020-21458, 2020.
Uranium is a trace metal yielding an average concentration in the Earth’s crust of about 2 to 4 mg/kg, and it occurs naturally in low levels in rock, soil, and water. Although widely known for its radioactive properties, at low levels dissolved uranium is more harmful by its chemical toxicity. The World Health Organisation (WHO) recommends a maximum concentration of 30 µg/l uranium in tap water, as well as a tolerable daily intake limit of 0.6 µg/kg body weight. Since 2011, tap water in Germany must not exceed uranium concentrations of 10 µg/l.
The uranium budget of the groundwater in Lower Saxony comprises mainly of geogenic input through water-rock interaction along the hydrological cycle and within the respective hydrogeological units, and possibly through century-old mining activities, and more recently the use of uranium bearing mineral fertilisers in farming. While the vast majority of uranium concentrations are significantly below 10 µg/l with many values below detection limit, some detached areas display elevated uranium with one confined maximum concentration of 124 µg/l. In order to determine uranium background values, statistical analyses accounted for hydrogeological units of the aquifer, land use, and well depths. Anomalous peak concentrations are unlikely to be a result of variations in geogenic background values alone and require further investigations. A possible rise of uranium concentrations caused by a downward shifting redox front, as proposed in other regions in Northern Germany, is yet to be identified in Lower Saxony.
How to cite: Stumpf, R., Budziak, D., Deus, N., and Elbracht, J.: Spatial anomalies of uranium background levels in groundwater of Lower Saxony, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21458, https://doi.org/10.5194/egusphere-egu2020-21458, 2020.
EGU2020-22687 | Displays | BG1.3
Extending the concept of background to soil gas: natural radon concentrations in soils of Campania region.Stefano Albanese, Annalise Guarino, Daniela Zuzolo, Antonio Aruta, Domenico Cicchella, Antonio Iannone, Raffaele Melito, Francesco Verrilli, and Alessandro Fedele Gianvito
Radon is an ubiquitous radioactive gas proceeding from the decay of some radionuclides, mostly abundant in igneous rock and volcanic soils; it is the main source of natural radiation to which human beings are exposed during their life. Campania, a region located on the south-western sector of the Italian peninsula, has a territory mostly characterized by the presence of volcanic lithotypes and sediments.
An empirical method was applied to determine the concentration of Rn-222 in soils of Campania region by using radiometric and compositional data recorded in two extensive different environmental prospecting campaigns completed in 2003 and 2015, respectively.
Radiometric surveys were carried out with a nominal density of 1 station per 5 sqkm with a GRS-500 portable scintillometer produced by Scintrex Ltd (Ontario, Canada); topsoil samples were collected at 3535 sites regularly spread across the whole regional area with a nominal density of 1 sample per sqkm. Samples destinated to chemical analyses were analysed by ICP-MS after an aqua regia digestion at the ACME Analytical Laboratories Ltd (now Bureau Veritas) in Vancouver, Canada.
Specifically, the concentrations of U, Th and K in topsoil samples and the activity (gamma radiation) generated by the decay of U-238, Th-232 and K-40 (expressed as Bq) at each measurement station were used as proxies in order to determine the variation of Rn-222 flux from the ground and to estimate the distribution pattern of geogenic radon potential (GPR) across the region.
The use of a sequence of specific equations led to estimate the terrestrial gamma dose rate (nSv/h) at 1 m above the ground surface starting from both datasets and, therefore, allowed the generation of the Rn-222 flux and GPR maps for the whole regional territory.
Both Radon flux and GPR raster maps were produced by mean of some specific geospatial elaborations and the estimated values were compared among them and validated trough the completion of some field measurements.
How to cite: Albanese, S., Guarino, A., Zuzolo, D., Aruta, A., Cicchella, D., Iannone, A., Melito, R., Verrilli, F., and Gianvito, A. F.: Extending the concept of background to soil gas: natural radon concentrations in soils of Campania region., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22687, https://doi.org/10.5194/egusphere-egu2020-22687, 2020.
Radon is an ubiquitous radioactive gas proceeding from the decay of some radionuclides, mostly abundant in igneous rock and volcanic soils; it is the main source of natural radiation to which human beings are exposed during their life. Campania, a region located on the south-western sector of the Italian peninsula, has a territory mostly characterized by the presence of volcanic lithotypes and sediments.
An empirical method was applied to determine the concentration of Rn-222 in soils of Campania region by using radiometric and compositional data recorded in two extensive different environmental prospecting campaigns completed in 2003 and 2015, respectively.
Radiometric surveys were carried out with a nominal density of 1 station per 5 sqkm with a GRS-500 portable scintillometer produced by Scintrex Ltd (Ontario, Canada); topsoil samples were collected at 3535 sites regularly spread across the whole regional area with a nominal density of 1 sample per sqkm. Samples destinated to chemical analyses were analysed by ICP-MS after an aqua regia digestion at the ACME Analytical Laboratories Ltd (now Bureau Veritas) in Vancouver, Canada.
Specifically, the concentrations of U, Th and K in topsoil samples and the activity (gamma radiation) generated by the decay of U-238, Th-232 and K-40 (expressed as Bq) at each measurement station were used as proxies in order to determine the variation of Rn-222 flux from the ground and to estimate the distribution pattern of geogenic radon potential (GPR) across the region.
The use of a sequence of specific equations led to estimate the terrestrial gamma dose rate (nSv/h) at 1 m above the ground surface starting from both datasets and, therefore, allowed the generation of the Rn-222 flux and GPR maps for the whole regional territory.
Both Radon flux and GPR raster maps were produced by mean of some specific geospatial elaborations and the estimated values were compared among them and validated trough the completion of some field measurements.
How to cite: Albanese, S., Guarino, A., Zuzolo, D., Aruta, A., Cicchella, D., Iannone, A., Melito, R., Verrilli, F., and Gianvito, A. F.: Extending the concept of background to soil gas: natural radon concentrations in soils of Campania region., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22687, https://doi.org/10.5194/egusphere-egu2020-22687, 2020.
BG1.6 – Functions and functioning of the Critical Zone
EGU2020-12689 | Displays | BG1.6 | Highlight
How deep do signals of surface conditions extend into the subsurface Critical Zone?Susan Trumbore, Kai Uwe Totsche, and Kirsten Küsel
Fluids (water and gases) connect surface and subsurface compartments of the Critical Zone by transporting matter, including chemical energy and organisms. In the AquaDiva Collaborative Research Center, one of our research goals is to use a variety of tracers to determine how the subsurface and the organisms inhabiting it reflect and depend on surface conditions. This research is performed at the Hainich Critical Zone Exploratory (CZE), a hillslope transect in limestone and marlstone sedimentary rocks where a network of surface observations is linked to routinely monitored groundwater wells. This CZE is especially interesting because its different rock units and hydrogeologic conditions create environments with different microbiomes and conditions.
This talk will synthesize information collected by AquaDiva researchers on how different kinds of ‘signals’ identify important mechanisms connecting surface and subsurface. Biologically dominated signals, such as cell counts, metagenomics, metabolomics, the molecular composition and properties of dissolved organic matter, change with distance from the surface. While some individual compounds and organisms can be found across the different critical zone compartments, it is clear that that ground water and its inhabitants are not just diluted from the surface but reflect and co-evolve with microbial communities and subsurface environmental conditions. Isotopic tools trace elements rather than chemical compounds and provide independent information on the timescales for surface-subsurface transport or the sources of energy or metabolites. For example, we used bomb-radiocarbon as a tracer for surface carbon recently fixed by plants. The 14C in dissolved or particulate organic matter and inorganic C demonstrate how newly fixed, recycled or even fossil (rock derived) C is incorporated into microbial food webs. Finally, surface conditions, including structure, influence the subsurface metabolism by regulating the transfer of electron acceptors like O2, excess nutrients from fertilizers, or reactive nanocrystalline Fe, through soils and unsaturated zones into groundwaters.
How to cite: Trumbore, S., Totsche, K. U., and Küsel, K.: How deep do signals of surface conditions extend into the subsurface Critical Zone?, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12689, https://doi.org/10.5194/egusphere-egu2020-12689, 2020.
Fluids (water and gases) connect surface and subsurface compartments of the Critical Zone by transporting matter, including chemical energy and organisms. In the AquaDiva Collaborative Research Center, one of our research goals is to use a variety of tracers to determine how the subsurface and the organisms inhabiting it reflect and depend on surface conditions. This research is performed at the Hainich Critical Zone Exploratory (CZE), a hillslope transect in limestone and marlstone sedimentary rocks where a network of surface observations is linked to routinely monitored groundwater wells. This CZE is especially interesting because its different rock units and hydrogeologic conditions create environments with different microbiomes and conditions.
This talk will synthesize information collected by AquaDiva researchers on how different kinds of ‘signals’ identify important mechanisms connecting surface and subsurface. Biologically dominated signals, such as cell counts, metagenomics, metabolomics, the molecular composition and properties of dissolved organic matter, change with distance from the surface. While some individual compounds and organisms can be found across the different critical zone compartments, it is clear that that ground water and its inhabitants are not just diluted from the surface but reflect and co-evolve with microbial communities and subsurface environmental conditions. Isotopic tools trace elements rather than chemical compounds and provide independent information on the timescales for surface-subsurface transport or the sources of energy or metabolites. For example, we used bomb-radiocarbon as a tracer for surface carbon recently fixed by plants. The 14C in dissolved or particulate organic matter and inorganic C demonstrate how newly fixed, recycled or even fossil (rock derived) C is incorporated into microbial food webs. Finally, surface conditions, including structure, influence the subsurface metabolism by regulating the transfer of electron acceptors like O2, excess nutrients from fertilizers, or reactive nanocrystalline Fe, through soils and unsaturated zones into groundwaters.
How to cite: Trumbore, S., Totsche, K. U., and Küsel, K.: How deep do signals of surface conditions extend into the subsurface Critical Zone?, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12689, https://doi.org/10.5194/egusphere-egu2020-12689, 2020.
EGU2020-18437 | Displays | BG1.6
Exploring the hydrogeological functioning and microbial habitats of the deep hillslope aeration zone in limestone-mudrock alternationsRobert Lehmann, Cassandre Sara Lazar, Kirsten Küsel, and Kai Uwe Totsche
The aeration zone beneath topographic groundwater recharge areas, comprising variably water-saturated soil, regolith and bedrock is a typically large but hardly explored compartment of the Critical Zone. Fluid and matter exchange within the deep hillslope aeration zone, the dynamics of its diverse microbial dwellers and their contribution for subsurface matter cycling and groundwater quality are widely unknown. In the Hainich Critical Zone Exploratory (Collaborative Research Center AquaDiva, Küsel et al., 2016), we accessed the aeration zone and groundwater resources in fractured limestone-mudstone alternations by exploratory drillings and hillslope monitoring wells. Multi-year groundwater sampling, environmental monitoring, drill core and petrological analyses revealed a multi-storey architecture of the aeration zone, covering perched water bodies and multi-directional flow phenomena (Lehmann and Totsche 2020). In a ~50 m deep well that underwent pronounced seasonal head fluctuation up to 25 m of oligotrophic groundwater, we incubated bedrock fragments that mimicked large fracture habitats and monitored the dynamic environmental conditions in the fractured mixed carbonate-/siliciclastic alternations as well. During groundwater-saturated colonization, successional exposure to seasonal de-saturation and re-saturation, we analyzed the bacterial and archaeal 16S rRNA diversity and found a diverse bacterial, and less diverse archaeal community, both including persistent genera that withstood the harsh environmental changes. In accordance with mature fracture-surfaces (drill cores), the colonized rock fragments were dominated by Gammaproteobacteria. General compositional differences to communities within the phreatic zone (i.e. groundwater and rock matrices), and shallow sources in soil, suggest a distinct subsurface microbiome that is hardly represented by ecological surveys that utilize groundwater or rock samples.
References:
Küsel, K., Totsche, K. U., Trumbore, S. E., Lehmann, R., Steinhäuser, C., Herrmann, M. (2016). How deep can surface signals be traced in the critical zone? Merging biodiversity with biogeochemistry research in a central German Muschelkalk landscape. Frontiers in Earth Science 4 (32). https://doi.org/10.3389/feart.2016.00032
Lehmann, R., Totsche, K. U. (2020). Multi-directional flow dynamics shape groundwater quality in sloping bedrock strata. Journal of Hydrology 580. https://doi.org/10.1016/j.jhydrol.2019.124291
How to cite: Lehmann, R., Lazar, C. S., Küsel, K., and Totsche, K. U.: Exploring the hydrogeological functioning and microbial habitats of the deep hillslope aeration zone in limestone-mudrock alternations, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18437, https://doi.org/10.5194/egusphere-egu2020-18437, 2020.
The aeration zone beneath topographic groundwater recharge areas, comprising variably water-saturated soil, regolith and bedrock is a typically large but hardly explored compartment of the Critical Zone. Fluid and matter exchange within the deep hillslope aeration zone, the dynamics of its diverse microbial dwellers and their contribution for subsurface matter cycling and groundwater quality are widely unknown. In the Hainich Critical Zone Exploratory (Collaborative Research Center AquaDiva, Küsel et al., 2016), we accessed the aeration zone and groundwater resources in fractured limestone-mudstone alternations by exploratory drillings and hillslope monitoring wells. Multi-year groundwater sampling, environmental monitoring, drill core and petrological analyses revealed a multi-storey architecture of the aeration zone, covering perched water bodies and multi-directional flow phenomena (Lehmann and Totsche 2020). In a ~50 m deep well that underwent pronounced seasonal head fluctuation up to 25 m of oligotrophic groundwater, we incubated bedrock fragments that mimicked large fracture habitats and monitored the dynamic environmental conditions in the fractured mixed carbonate-/siliciclastic alternations as well. During groundwater-saturated colonization, successional exposure to seasonal de-saturation and re-saturation, we analyzed the bacterial and archaeal 16S rRNA diversity and found a diverse bacterial, and less diverse archaeal community, both including persistent genera that withstood the harsh environmental changes. In accordance with mature fracture-surfaces (drill cores), the colonized rock fragments were dominated by Gammaproteobacteria. General compositional differences to communities within the phreatic zone (i.e. groundwater and rock matrices), and shallow sources in soil, suggest a distinct subsurface microbiome that is hardly represented by ecological surveys that utilize groundwater or rock samples.
References:
Küsel, K., Totsche, K. U., Trumbore, S. E., Lehmann, R., Steinhäuser, C., Herrmann, M. (2016). How deep can surface signals be traced in the critical zone? Merging biodiversity with biogeochemistry research in a central German Muschelkalk landscape. Frontiers in Earth Science 4 (32). https://doi.org/10.3389/feart.2016.00032
Lehmann, R., Totsche, K. U. (2020). Multi-directional flow dynamics shape groundwater quality in sloping bedrock strata. Journal of Hydrology 580. https://doi.org/10.1016/j.jhydrol.2019.124291
How to cite: Lehmann, R., Lazar, C. S., Küsel, K., and Totsche, K. U.: Exploring the hydrogeological functioning and microbial habitats of the deep hillslope aeration zone in limestone-mudrock alternations, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18437, https://doi.org/10.5194/egusphere-egu2020-18437, 2020.
EGU2020-14556 | Displays | BG1.6
Nitrate sources and sinks in oligotrophic groundwaterMartina Herrmann, Markus Krüger, Bo Thamdrup, and Kirsten Küsel
Despite the high relevance of karstic aquifers as drinking water reservoirs, nitrate pollution of groundwater is posing an increasing threat on a global scale. Under anoxic conditions, nitrate can be converted to N2 by denitrification or anaerobic ammonia oxidation (anammox) and thus be removed from the system. However, in the presence of oxygen, nitrification may continue in the groundwater, supported by the activity of ammonia oxidizing bacteria (AOB), archaea (AOA), and the recently discovered complete ammonia oxidizers (comammox bacteria). We aimed to disentangle different sources and sinks of nitrate and key microbial players involved in nitrogen transformation processes in oligotrophic limestone aquifers of the Hainich Critical Zone Exploratory (CZE; Germany). Assessment of process rates using 15N-labeling techniques revealed a variance of nitrification rates by two orders of magnitude across six oxic groundwater wells. Surprisingly, wells with nitrate concentrations higher than 300 µmol L−1 showed only very low nitrification activity of less than 2 nmol NO3− L−1 d−1, pointing to surface inputs rather than in situ production. In turn, maximum nitrification activity of 127 nmol NO3− L−1 d−1 coincided with a consistently large fraction of comammox bacteria of more than 70% in the groundwater nitrifier community. Estimated per cell activities of ammonia oxidation suggested that a contribution from comammox was needed to sufficiently explain the observed nitrification rates. Anaerobic ammonia oxidation (anammox) and denitrification as potential nitrate or nitrite sinks varied within a smaller range of 1 to 5 nmol N2 L−1 d−1 across anoxic wells and were dominated by anammox, most likely linked to a low availability of organic carbon and suitable inorganic electron donors for chemolithoautotrophic denitrification. Differences in activities agreed well with 100 times higher transcriptional activity of hzsA genes involved in anammox compared to nirS genes involved in denitrification. Our findings provide strong evidence for nitrification supported by comammox bacteria in oligotrophic groundwater and for anammox as the dominating N removing process.
How to cite: Herrmann, M., Krüger, M., Thamdrup, B., and Küsel, K.: Nitrate sources and sinks in oligotrophic groundwater, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-14556, https://doi.org/10.5194/egusphere-egu2020-14556, 2020.
Despite the high relevance of karstic aquifers as drinking water reservoirs, nitrate pollution of groundwater is posing an increasing threat on a global scale. Under anoxic conditions, nitrate can be converted to N2 by denitrification or anaerobic ammonia oxidation (anammox) and thus be removed from the system. However, in the presence of oxygen, nitrification may continue in the groundwater, supported by the activity of ammonia oxidizing bacteria (AOB), archaea (AOA), and the recently discovered complete ammonia oxidizers (comammox bacteria). We aimed to disentangle different sources and sinks of nitrate and key microbial players involved in nitrogen transformation processes in oligotrophic limestone aquifers of the Hainich Critical Zone Exploratory (CZE; Germany). Assessment of process rates using 15N-labeling techniques revealed a variance of nitrification rates by two orders of magnitude across six oxic groundwater wells. Surprisingly, wells with nitrate concentrations higher than 300 µmol L−1 showed only very low nitrification activity of less than 2 nmol NO3− L−1 d−1, pointing to surface inputs rather than in situ production. In turn, maximum nitrification activity of 127 nmol NO3− L−1 d−1 coincided with a consistently large fraction of comammox bacteria of more than 70% in the groundwater nitrifier community. Estimated per cell activities of ammonia oxidation suggested that a contribution from comammox was needed to sufficiently explain the observed nitrification rates. Anaerobic ammonia oxidation (anammox) and denitrification as potential nitrate or nitrite sinks varied within a smaller range of 1 to 5 nmol N2 L−1 d−1 across anoxic wells and were dominated by anammox, most likely linked to a low availability of organic carbon and suitable inorganic electron donors for chemolithoautotrophic denitrification. Differences in activities agreed well with 100 times higher transcriptional activity of hzsA genes involved in anammox compared to nirS genes involved in denitrification. Our findings provide strong evidence for nitrification supported by comammox bacteria in oligotrophic groundwater and for anammox as the dominating N removing process.
How to cite: Herrmann, M., Krüger, M., Thamdrup, B., and Küsel, K.: Nitrate sources and sinks in oligotrophic groundwater, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-14556, https://doi.org/10.5194/egusphere-egu2020-14556, 2020.
EGU2020-18141 | Displays | BG1.6
Characterizing denitrification in the aquifer and transit times based on spatially-distributed measurements in streamsCamille Vautier, Christophe Petton, Ronan Abhervé, Gilles Pinay, Anniet Lavermann, and Jean-Raynald de Dreuzy
Human activity has more than doubled reactive nitrogen delivery to Earth’s ecosystems. In the past several decades, efforts have been made to reduce agricultural inputs of nitrogen, but the decrease of the nitrate concentration in rivers is also controlled by natural processes, especially by flow and denitrification in the aquifer. Yet, with current knowledge, it remains difficult to characterize transit times and groundwater denitrification rates at scales relevant for mitigation actions (catchment scale to regional scale).
Data directly obtained in piezometers generally display large variabilities without any obvious correlation to any landscape, geological or geomorphological characteristics. Here we propose an alternative method based on in-stream measurements to get a representative view of the role of the aquifer in the temporary storage and degradation of nitrates. We performed spatially-distributed measurements in low-order streams within a 35 km2 agricultural catchment underlain by a crystalline, fractured bedrock aquifer. Measurements were performed during low-flow. Stream discharge and radon activity were used to determine the groundwater discharge into the streams. Silica was used as an age-tracer [1]. Nitrate concentrations and isotopic ratios allowed to characterize the denitrification in the aquifer.
Results show that in-stream measurements provide a representative view of transport and denitrification in the aquifer. They highlight that the scale of homogenization is larger than the studied catchment, and reveal an unexpected correlation between the mean residence time and the characteristic denitrification time. This allows to hypothesize a common control on residence time and denitrification in the aquifer, that could be exercised by the depth of the weathered zone. Unraveling such a correlation could be a first step towards a global characterization of aquifer processes through geophysical imagery methods.
[1] Marcais, J., et al. 2018. Dating groundwater with dissolved silica and CFC concentrations in crystalline aquifers. STOTEN.
How to cite: Vautier, C., Petton, C., Abhervé, R., Pinay, G., Lavermann, A., and de Dreuzy, J.-R.: Characterizing denitrification in the aquifer and transit times based on spatially-distributed measurements in streams, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18141, https://doi.org/10.5194/egusphere-egu2020-18141, 2020.
Human activity has more than doubled reactive nitrogen delivery to Earth’s ecosystems. In the past several decades, efforts have been made to reduce agricultural inputs of nitrogen, but the decrease of the nitrate concentration in rivers is also controlled by natural processes, especially by flow and denitrification in the aquifer. Yet, with current knowledge, it remains difficult to characterize transit times and groundwater denitrification rates at scales relevant for mitigation actions (catchment scale to regional scale).
Data directly obtained in piezometers generally display large variabilities without any obvious correlation to any landscape, geological or geomorphological characteristics. Here we propose an alternative method based on in-stream measurements to get a representative view of the role of the aquifer in the temporary storage and degradation of nitrates. We performed spatially-distributed measurements in low-order streams within a 35 km2 agricultural catchment underlain by a crystalline, fractured bedrock aquifer. Measurements were performed during low-flow. Stream discharge and radon activity were used to determine the groundwater discharge into the streams. Silica was used as an age-tracer [1]. Nitrate concentrations and isotopic ratios allowed to characterize the denitrification in the aquifer.
Results show that in-stream measurements provide a representative view of transport and denitrification in the aquifer. They highlight that the scale of homogenization is larger than the studied catchment, and reveal an unexpected correlation between the mean residence time and the characteristic denitrification time. This allows to hypothesize a common control on residence time and denitrification in the aquifer, that could be exercised by the depth of the weathered zone. Unraveling such a correlation could be a first step towards a global characterization of aquifer processes through geophysical imagery methods.
[1] Marcais, J., et al. 2018. Dating groundwater with dissolved silica and CFC concentrations in crystalline aquifers. STOTEN.
How to cite: Vautier, C., Petton, C., Abhervé, R., Pinay, G., Lavermann, A., and de Dreuzy, J.-R.: Characterizing denitrification in the aquifer and transit times based on spatially-distributed measurements in streams, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18141, https://doi.org/10.5194/egusphere-egu2020-18141, 2020.
EGU2020-3389 | Displays | BG1.6
Predicting microbial redox dynamics and nutrient cycling in the subsurface considering spatio-temporal heterogeneitiesSwamini Khurana, Falk Heße, and Martin Thullner
Biogeochemical cycles are extensively studied as they control the flow of matter (carbon and nitrogen, specifically) up to the global scale, further impacting ecosystem functions and services. To be able to predict carbon and nitrogen budgets, it is necessary to study carbon and nitrogen cycles in all compartments of the biosphere, from forests to water, to soil and deep subsurface. Since the soil and deeper subsurface compartments store a high share of the global carbon and nitrogen budget, it is necessary to study the carbon and nitrogen cycles in the subsurface at a higher resolution. Given the spatial heterogeneity and temporal dynamics exhibited by the subsurface, coupled with lack of observational opportunities, the prediction of these cycles in the subsurface is a challenge. For this purpose, this study aims to resolve microbial mediated carbon and nitrogen dynamics in the subsurface with respect to spatial and temporal heterogeneity using a numerical modeling approach. The model considers the response of microbial growth and activity to varying environmental conditions such as access to nutrients and energy sources.
The obtained results show a linear relationship between the relative impact on carbon and nitrogen removal and relative difference in breakthrough times between homogeneous scenarios and the spatially heterogeneous scenarios. In contrast, the temporal dynamics of changing flow rates induces minimal aggregated impact on the carbon and nitrogen cycles in the subsurface. This implies that short term temporal dynamics do little to influence the long-term nutrient cycles, given the same average water flux through the entire simulation period. The findings of this study can assist in identification of drivers of microbial dynamics and nutrient cycling in the Critical Zone. This, in turn, can assist towards the regional scale modeling of biogeochemical cycles resulting from microbial dynamics.
How to cite: Khurana, S., Heße, F., and Thullner, M.: Predicting microbial redox dynamics and nutrient cycling in the subsurface considering spatio-temporal heterogeneities, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3389, https://doi.org/10.5194/egusphere-egu2020-3389, 2020.
Biogeochemical cycles are extensively studied as they control the flow of matter (carbon and nitrogen, specifically) up to the global scale, further impacting ecosystem functions and services. To be able to predict carbon and nitrogen budgets, it is necessary to study carbon and nitrogen cycles in all compartments of the biosphere, from forests to water, to soil and deep subsurface. Since the soil and deeper subsurface compartments store a high share of the global carbon and nitrogen budget, it is necessary to study the carbon and nitrogen cycles in the subsurface at a higher resolution. Given the spatial heterogeneity and temporal dynamics exhibited by the subsurface, coupled with lack of observational opportunities, the prediction of these cycles in the subsurface is a challenge. For this purpose, this study aims to resolve microbial mediated carbon and nitrogen dynamics in the subsurface with respect to spatial and temporal heterogeneity using a numerical modeling approach. The model considers the response of microbial growth and activity to varying environmental conditions such as access to nutrients and energy sources.
The obtained results show a linear relationship between the relative impact on carbon and nitrogen removal and relative difference in breakthrough times between homogeneous scenarios and the spatially heterogeneous scenarios. In contrast, the temporal dynamics of changing flow rates induces minimal aggregated impact on the carbon and nitrogen cycles in the subsurface. This implies that short term temporal dynamics do little to influence the long-term nutrient cycles, given the same average water flux through the entire simulation period. The findings of this study can assist in identification of drivers of microbial dynamics and nutrient cycling in the Critical Zone. This, in turn, can assist towards the regional scale modeling of biogeochemical cycles resulting from microbial dynamics.
How to cite: Khurana, S., Heße, F., and Thullner, M.: Predicting microbial redox dynamics and nutrient cycling in the subsurface considering spatio-temporal heterogeneities, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3389, https://doi.org/10.5194/egusphere-egu2020-3389, 2020.
EGU2020-15958 | Displays | BG1.6
Water as a critical zone currency: linking water storage and age to root uptake and biogeochemical transportSylvain Kuppel, Isabelle Braud, Yves Goddéris, Sekhar Muddu, Jean Riotte, and Laurent Ruiz
Efforts to grasp hydrological functioning in landscapes have gradually been evolving from inferring when water output fluxes respond to precipitation and energy inputs in catchments, towards tracking down which water is present in the different flow pathways of the critical zone (CZ). In the CZ where almost all terrestrial life developed, quantifying water storage and age (residence times in stores and transit times in fluxes) is key to the understanding of how water is i) available to supply root uptake, ii) in interaction with regolith minerals and biota, and iii) a medium for solute transport. We propose an approach to characterize the dynamics and non-linearities of CZ functioning first by mapping time-varying transit times of water exiting as plant transpiration as well as soil evaporation and stream discharge, against the corresponding water storage states. This picture is then extended by assessing the resulting relationships between hydrological states and patterns of nutrient concentration in, and export out of, the critical zone. This analysis considers several spatial scales, from the hillslope to the whole catchment. To this end, we use simulations from a cascade of spatially-distributed numerical tools: a process-based ecohydrological model – accounting for the coupling between energy balance, critical zone hydrology and vegetation dynamics, and a modular chemical weathering model – simulating dissolution/precipitation rates of mineral phases based on kinetics laws. We particularly focus on the long-term experimental tropical catchment of Mule Hole in Peninsular India (part of both the Indian Kabini CZ observatory and the French CZ observatory network OZCAR), with a highly seasonal hydroclimate and deep unsaturated profile, and where extensive hydrometric and chemical datasets are available for model calibration and evaluation. We discuss the interplay between distinctively mobilized critical zone compartments for each output flux, and the time-varying spatial organization of flow pathways.
How to cite: Kuppel, S., Braud, I., Goddéris, Y., Muddu, S., Riotte, J., and Ruiz, L.: Water as a critical zone currency: linking water storage and age to root uptake and biogeochemical transport, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-15958, https://doi.org/10.5194/egusphere-egu2020-15958, 2020.
Efforts to grasp hydrological functioning in landscapes have gradually been evolving from inferring when water output fluxes respond to precipitation and energy inputs in catchments, towards tracking down which water is present in the different flow pathways of the critical zone (CZ). In the CZ where almost all terrestrial life developed, quantifying water storage and age (residence times in stores and transit times in fluxes) is key to the understanding of how water is i) available to supply root uptake, ii) in interaction with regolith minerals and biota, and iii) a medium for solute transport. We propose an approach to characterize the dynamics and non-linearities of CZ functioning first by mapping time-varying transit times of water exiting as plant transpiration as well as soil evaporation and stream discharge, against the corresponding water storage states. This picture is then extended by assessing the resulting relationships between hydrological states and patterns of nutrient concentration in, and export out of, the critical zone. This analysis considers several spatial scales, from the hillslope to the whole catchment. To this end, we use simulations from a cascade of spatially-distributed numerical tools: a process-based ecohydrological model – accounting for the coupling between energy balance, critical zone hydrology and vegetation dynamics, and a modular chemical weathering model – simulating dissolution/precipitation rates of mineral phases based on kinetics laws. We particularly focus on the long-term experimental tropical catchment of Mule Hole in Peninsular India (part of both the Indian Kabini CZ observatory and the French CZ observatory network OZCAR), with a highly seasonal hydroclimate and deep unsaturated profile, and where extensive hydrometric and chemical datasets are available for model calibration and evaluation. We discuss the interplay between distinctively mobilized critical zone compartments for each output flux, and the time-varying spatial organization of flow pathways.
How to cite: Kuppel, S., Braud, I., Goddéris, Y., Muddu, S., Riotte, J., and Ruiz, L.: Water as a critical zone currency: linking water storage and age to root uptake and biogeochemical transport, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-15958, https://doi.org/10.5194/egusphere-egu2020-15958, 2020.
EGU2020-11400 | Displays | BG1.6
Main knowledge gaps in critical zone processes and behaviour: Extracting information from water quality time-series data and models outputsZahra Thomas, Ophélie Fovet, Qian Zhang, Channa Rajanayaka, Christian Zammit, and Chantal Gascuel-Odoux
In the last few decades, the degradation of water quality and resulting regulations, such as the European Water Framework Directive, the United States Clean Water Act, and the New Zealand Resource Management Act 1991 have promoted water quality monitoring in terms of parameter richness, spatial density and high temporal resolution. Long-term catchment observatories have been strengthened to gain insight into hydrological and biogeochemical processes. New technologies have been developed and deployed to collect more in situ water quality data at higher frequencies. Thus, water quality monitoring around the world has produced a large amount of data from research catchments but also from national monitoring networks. Despite these efforts, water quality data are highly heterogeneous in terms of targeted parameters, measurement methods, sampling frequencies. Also, accessibility to water samples differ from each hydrological compartment (stream, groundwater, soil water and precipitation). Among water quality time-series, higher sampling frequencies are available for stream water where monitoring is relatively easy to carry out generating a high amount of data. However, groundwater data are rare since monitoring and access is relatively difficult. Also, the aim of monitoring network evolved with time. In fact, networks are usually established for a specific purpose which is changing with time and the questions the network is trying to answer? This raise the issue of spatial and temporal flexibility- multi purpose network and the use of network to support model development which could be seen as a “theoretical” monitoring network.
The objective of this talk is to present a review of methods used for analysing temporal water quality signals and models outputs, based on a panel of examples from few but densely monitored environmental research observatories. Such infrastructures also give an insight into critical zone (CZ) research that help to build a transdisciplinary community to identify the main knowledge gaps in CZ processes and behaviour.
How to cite: Thomas, Z., Fovet, O., Zhang, Q., Rajanayaka, C., Zammit, C., and Gascuel-Odoux, C.: Main knowledge gaps in critical zone processes and behaviour: Extracting information from water quality time-series data and models outputs, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11400, https://doi.org/10.5194/egusphere-egu2020-11400, 2020.
In the last few decades, the degradation of water quality and resulting regulations, such as the European Water Framework Directive, the United States Clean Water Act, and the New Zealand Resource Management Act 1991 have promoted water quality monitoring in terms of parameter richness, spatial density and high temporal resolution. Long-term catchment observatories have been strengthened to gain insight into hydrological and biogeochemical processes. New technologies have been developed and deployed to collect more in situ water quality data at higher frequencies. Thus, water quality monitoring around the world has produced a large amount of data from research catchments but also from national monitoring networks. Despite these efforts, water quality data are highly heterogeneous in terms of targeted parameters, measurement methods, sampling frequencies. Also, accessibility to water samples differ from each hydrological compartment (stream, groundwater, soil water and precipitation). Among water quality time-series, higher sampling frequencies are available for stream water where monitoring is relatively easy to carry out generating a high amount of data. However, groundwater data are rare since monitoring and access is relatively difficult. Also, the aim of monitoring network evolved with time. In fact, networks are usually established for a specific purpose which is changing with time and the questions the network is trying to answer? This raise the issue of spatial and temporal flexibility- multi purpose network and the use of network to support model development which could be seen as a “theoretical” monitoring network.
The objective of this talk is to present a review of methods used for analysing temporal water quality signals and models outputs, based on a panel of examples from few but densely monitored environmental research observatories. Such infrastructures also give an insight into critical zone (CZ) research that help to build a transdisciplinary community to identify the main knowledge gaps in CZ processes and behaviour.
How to cite: Thomas, Z., Fovet, O., Zhang, Q., Rajanayaka, C., Zammit, C., and Gascuel-Odoux, C.: Main knowledge gaps in critical zone processes and behaviour: Extracting information from water quality time-series data and models outputs, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11400, https://doi.org/10.5194/egusphere-egu2020-11400, 2020.
EGU2020-12486 | Displays | BG1.6
Prospective upscaling of quantification of non-rainfall water inputs to regional scaleNurit Agam and Dilia Kool
In drylands, the annual amount of non-rainfall water inputs (NRWIs), i.e., a gain of water to the surface soil layer that is not caused by rainfall, can exceed that of rainfall. They thus significantly contribute to the water cycle and to biogeochemical dynamics. However, the small magnitude of the fluxes involved in the formation and evaporation of NRWIs challenges their measurement. Various methods were applied in attempting to quantify NRWIs amount and duration, all being point/local measurements. Given the large heterogeneity of soils, both at local and at regional scale, upscaling from the small point measurement methods to larger scales is necessary in order to fully understand the environmental factors controlling NRWIs and the role of NRWIs in dryland ecosystems. Numerous remote sensing-based models have been developed to assess spatially distributed latent heat fluxes, greatly varying in complexity. Unfortunately, the magnitude of diurnal fluxes due to NRWIs is too small to be detected by any of the existing models. Hypothesizing that soil surface emissivity is sensitive to very small changes in water content at the top soil layer, our objective was to quantify NRWIs by analyzing the temporal changes in land surface emissivity over bare loess soil in the Negev desert, Israel. Proven successful, this can be utilized over large areas.
Intensive measurements using a longwave infrared radiometer (CLIMAT 312-2n ASTER, Cimel Electronique, Paris, France) were conducted in summer 2019 at the Wadi Mashash Experimental Farm (31o08’N, 34o53’E). Radiance and temperature measurements were obtained for a broad band (8.01-13.34 μm) and 5 subsections of this bandwidth. The radiometer was mounted at 0.5 m directly above one of four microlysimeters (undisturbed soil samples installed flash with the soil surface and weighed continuously). Radiometer readings were automatically taken every 15 min for 24-h cycles.
Initial results indicate an agreement between the diurnal cycle of NRWIs detected by the microlysimeters and between the diurnal cycle of an index derived from the radiometer bands: (e11.3-e8.3)/ e10.6 (the numbers are the center of the band in µm). These preliminary results show the potential to upscale quantifying NRWIs to regional scale.
How to cite: Agam, N. and Kool, D.: Prospective upscaling of quantification of non-rainfall water inputs to regional scale, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12486, https://doi.org/10.5194/egusphere-egu2020-12486, 2020.
In drylands, the annual amount of non-rainfall water inputs (NRWIs), i.e., a gain of water to the surface soil layer that is not caused by rainfall, can exceed that of rainfall. They thus significantly contribute to the water cycle and to biogeochemical dynamics. However, the small magnitude of the fluxes involved in the formation and evaporation of NRWIs challenges their measurement. Various methods were applied in attempting to quantify NRWIs amount and duration, all being point/local measurements. Given the large heterogeneity of soils, both at local and at regional scale, upscaling from the small point measurement methods to larger scales is necessary in order to fully understand the environmental factors controlling NRWIs and the role of NRWIs in dryland ecosystems. Numerous remote sensing-based models have been developed to assess spatially distributed latent heat fluxes, greatly varying in complexity. Unfortunately, the magnitude of diurnal fluxes due to NRWIs is too small to be detected by any of the existing models. Hypothesizing that soil surface emissivity is sensitive to very small changes in water content at the top soil layer, our objective was to quantify NRWIs by analyzing the temporal changes in land surface emissivity over bare loess soil in the Negev desert, Israel. Proven successful, this can be utilized over large areas.
Intensive measurements using a longwave infrared radiometer (CLIMAT 312-2n ASTER, Cimel Electronique, Paris, France) were conducted in summer 2019 at the Wadi Mashash Experimental Farm (31o08’N, 34o53’E). Radiance and temperature measurements were obtained for a broad band (8.01-13.34 μm) and 5 subsections of this bandwidth. The radiometer was mounted at 0.5 m directly above one of four microlysimeters (undisturbed soil samples installed flash with the soil surface and weighed continuously). Radiometer readings were automatically taken every 15 min for 24-h cycles.
Initial results indicate an agreement between the diurnal cycle of NRWIs detected by the microlysimeters and between the diurnal cycle of an index derived from the radiometer bands: (e11.3-e8.3)/ e10.6 (the numbers are the center of the band in µm). These preliminary results show the potential to upscale quantifying NRWIs to regional scale.
How to cite: Agam, N. and Kool, D.: Prospective upscaling of quantification of non-rainfall water inputs to regional scale, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12486, https://doi.org/10.5194/egusphere-egu2020-12486, 2020.
EGU2020-11430 | Displays | BG1.6
Dissolved gas (CO2, alkanes, O2, N2) in critical zone developed on claystoneCatherine Lerouge, Michaela Blessing, Mathieu Debure, Frédérick Gal, Wolfram Kloppmann, and Jean-Charles Robinet
Weathering processes in clay environments are of major importance because they participate to regulate elemental cycling and mass transfer in the critical zone with major implications for carbon and nitrogen cycling.
In that aim, we measured 1) dissolved CO2, alkanes, O2 and N2 concentrations in clay pore waters by rock degassing, 2) soil gas flux and concentrations, and 3) δ13C of CO2 and alkanes in two contrasted tectonic contexts.
The first context is the marine Jurassic black marls in the French Alps, characterized by deep burial, high erosion rates and dominant physical weathering processes. These marls are well-known for their occurrences of natural methane gas seeps. In this area, we carried out rock degassing on outcropping weathered claystone in complement of soil flux measurements to constrain the implication of weathering processes on the natural gas releases. These measurements are also tested as a new component of environmental baseline assessment in the field of unconventional hydrocarbons.
The second context is the marine Cretaceous Tégulines Clay of the north-eastern part of the Paris Basin, characterized by low burial, low erosion rates, and dominant chemical weathering processes. In this area, we carried out rock degassing on soil and weathered claystone accessible by deep boreholes, in order to define the depth of the critical zone and major reactions controlling the weathering profile.
Oxygen and nitrogen concentrations are the record of the atmospheric diffusion through the formations. Some values are higher than the gas solubility, which could be attributed to rock desaturation and air bubbles, and clay sorption (only for nitrogen).
Weathering processes induce a significant CO2 increase and a large range of δ13CCO2, providing evidence of two major CO2 sources: CO2 internally controlled by carbonates and organic-derived CO2 of internal and external origins. In Alpine black marls, field observations suggest a low depth affected by weathering, due to intense erosion. In Tégulines Clay, the CO2 increase provides evidence of a ~ 20 m-thick critical zone. The lowest δ13CCO2 indicates that the highest reactive zone (organic matter degradation, calcite dissolution and pyrite oxidation) is ~10 m deep, in agreement with the depth of the root network.
Nature and amounts of alkanes are contrasted in the two contexts. In deep burial environment, alkanes are abundant, in particular, in the “ fontaines ardentes” gas seeps in the French Alps. Composition of hydrocarbon gas and δ13C of methane strongly suggest a thermogenic origin. Outcropping black marls contain methane, suggesting oxidation of higher alkanes. That assumption is supported by δ13CCO2 of soil close to δ13C of alkanes. In low burial environment, small amounts of methane are present that rapidly disappear with weathering. Some methane concentrations could be attributed to diffusion of external methane formed by degradation of organic matter under reducing conditions in soil.
Overall those results suggest that dissolved gas and their isotopic signature are good markers of weathering processes in the critical zone.
This research was funded by the EU H2020 Programme (grant 764531 - SECURe), ANDRA-BRGM projects.
How to cite: Lerouge, C., Blessing, M., Debure, M., Gal, F., Kloppmann, W., and Robinet, J.-C.: Dissolved gas (CO2, alkanes, O2, N2) in critical zone developed on claystone, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11430, https://doi.org/10.5194/egusphere-egu2020-11430, 2020.
Weathering processes in clay environments are of major importance because they participate to regulate elemental cycling and mass transfer in the critical zone with major implications for carbon and nitrogen cycling.
In that aim, we measured 1) dissolved CO2, alkanes, O2 and N2 concentrations in clay pore waters by rock degassing, 2) soil gas flux and concentrations, and 3) δ13C of CO2 and alkanes in two contrasted tectonic contexts.
The first context is the marine Jurassic black marls in the French Alps, characterized by deep burial, high erosion rates and dominant physical weathering processes. These marls are well-known for their occurrences of natural methane gas seeps. In this area, we carried out rock degassing on outcropping weathered claystone in complement of soil flux measurements to constrain the implication of weathering processes on the natural gas releases. These measurements are also tested as a new component of environmental baseline assessment in the field of unconventional hydrocarbons.
The second context is the marine Cretaceous Tégulines Clay of the north-eastern part of the Paris Basin, characterized by low burial, low erosion rates, and dominant chemical weathering processes. In this area, we carried out rock degassing on soil and weathered claystone accessible by deep boreholes, in order to define the depth of the critical zone and major reactions controlling the weathering profile.
Oxygen and nitrogen concentrations are the record of the atmospheric diffusion through the formations. Some values are higher than the gas solubility, which could be attributed to rock desaturation and air bubbles, and clay sorption (only for nitrogen).
Weathering processes induce a significant CO2 increase and a large range of δ13CCO2, providing evidence of two major CO2 sources: CO2 internally controlled by carbonates and organic-derived CO2 of internal and external origins. In Alpine black marls, field observations suggest a low depth affected by weathering, due to intense erosion. In Tégulines Clay, the CO2 increase provides evidence of a ~ 20 m-thick critical zone. The lowest δ13CCO2 indicates that the highest reactive zone (organic matter degradation, calcite dissolution and pyrite oxidation) is ~10 m deep, in agreement with the depth of the root network.
Nature and amounts of alkanes are contrasted in the two contexts. In deep burial environment, alkanes are abundant, in particular, in the “ fontaines ardentes” gas seeps in the French Alps. Composition of hydrocarbon gas and δ13C of methane strongly suggest a thermogenic origin. Outcropping black marls contain methane, suggesting oxidation of higher alkanes. That assumption is supported by δ13CCO2 of soil close to δ13C of alkanes. In low burial environment, small amounts of methane are present that rapidly disappear with weathering. Some methane concentrations could be attributed to diffusion of external methane formed by degradation of organic matter under reducing conditions in soil.
Overall those results suggest that dissolved gas and their isotopic signature are good markers of weathering processes in the critical zone.
This research was funded by the EU H2020 Programme (grant 764531 - SECURe), ANDRA-BRGM projects.
How to cite: Lerouge, C., Blessing, M., Debure, M., Gal, F., Kloppmann, W., and Robinet, J.-C.: Dissolved gas (CO2, alkanes, O2, N2) in critical zone developed on claystone, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11430, https://doi.org/10.5194/egusphere-egu2020-11430, 2020.
EGU2020-10078 | Displays | BG1.6
Lithium isotopes tracing weathering processes in a time series through soil porewatersDavid Wilson, Philip Pogge von Strandmann, Gary Tarbuck, Jo White, Tim Atkinson, and Philip Hopley
Chemical weathering is a key process that controls Earth’s geochemical cycles and global climate, yet at present the climate-weathering feedback is poorly understood. Lithium (Li) isotopes are sensitive to silicate weathering processes [1] and can be applied in a range of settings to improve our understanding of weathering mechanisms and timescales, and hence to quantify the role of weathering in the global carbon cycle. While marine carbonates [2] and speleothems [3] are suitable for recording changes over million year and thousand year timescales, respectively, it is equally important to assess how weathering operates over seasonal [4] and shorter [5] timescales.
In order to explore seasonal variability in a natural system, we analysed Li isotopes and major/trace elements in a time series of cave drip-water samples from Ease Gill and White Scar caves (Yorkshire Dales, U.K.). Since the drip-waters are sourced from the overlying soil porewaters, these measurements provide a record of the evolving weathering fluid chemistry at approximately monthly intervals. Our data reveal striking temporal variations in ∂7Li of 4 to 8 permil, hinting at rapid changes in weathering processes over monthly to seasonal timescales. We assess the sources of Li using isotope measurements on local rocks and soils, which enables a first order quantification of the temporal changes in Li removal by clay formation. Comparison to records of temperature, precipitation, drip rates, and drip-water chemistry allows the local controls on weathering to be assessed and indicates that a dominant control is exerted by the fluid residence time.
These data are further complemented by batch reactor experiments, which were conducted to replicate rock weathering over timescales of hours to weeks. In combination, the time series and experiments contribute to a better understanding of weathering changes over short timescales and their influence on Li isotopes. In addition, results from the drip-waters provide key ground-truthing for interpreting our ongoing Li isotope measurements on speleothems, which will provide new records of weathering changes over longer timescales in response to regional climate forcing.
[1] Pogge von Strandmann, P.A.E., Frings, P.J., Murphy, M.J. (2017) Lithium isotope behaviour during weathering in the Ganges Alluvial Plain. GCA 198, 17-31.
[2] Misra, S. & Froelich, P.N. (2012) Lithium isotope history of Cenozoic seawater: changes in silicate weathering and reverse weathering. Science 335, 818-823.
[3] Pogge von Strandmann, P.A.E., Vaks, A., Bar-Matthews, M., Ayalon, A., Jacob, E., Henderson, G.M. (2017) Lithium isotopes in speleothems: Temperature-controlled variation in silicate weathering during glacial cycles. EPSL 469, 64-74.
[4] Liu, X.-M., Wanner, C., Rudnick, R.L., McDonough, W.F. (2015) Processes controlling δ7Li in rivers illuminated by study of streams and groundwaters draining basalts. EPSL 409, 212-224.
[5] Pogge von Strandmann, P.A.E., Fraser, W.T., Hammond, S.J., Tarbuck, G., Wood, I.G., Oelkers, E.H., Murphy, M.J. (2019) Experimental determination of Li isotope behaviour during basalt weathering. Chemical Geology 517, 34-43.
How to cite: Wilson, D., Pogge von Strandmann, P., Tarbuck, G., White, J., Atkinson, T., and Hopley, P.: Lithium isotopes tracing weathering processes in a time series through soil porewaters, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10078, https://doi.org/10.5194/egusphere-egu2020-10078, 2020.
Chemical weathering is a key process that controls Earth’s geochemical cycles and global climate, yet at present the climate-weathering feedback is poorly understood. Lithium (Li) isotopes are sensitive to silicate weathering processes [1] and can be applied in a range of settings to improve our understanding of weathering mechanisms and timescales, and hence to quantify the role of weathering in the global carbon cycle. While marine carbonates [2] and speleothems [3] are suitable for recording changes over million year and thousand year timescales, respectively, it is equally important to assess how weathering operates over seasonal [4] and shorter [5] timescales.
In order to explore seasonal variability in a natural system, we analysed Li isotopes and major/trace elements in a time series of cave drip-water samples from Ease Gill and White Scar caves (Yorkshire Dales, U.K.). Since the drip-waters are sourced from the overlying soil porewaters, these measurements provide a record of the evolving weathering fluid chemistry at approximately monthly intervals. Our data reveal striking temporal variations in ∂7Li of 4 to 8 permil, hinting at rapid changes in weathering processes over monthly to seasonal timescales. We assess the sources of Li using isotope measurements on local rocks and soils, which enables a first order quantification of the temporal changes in Li removal by clay formation. Comparison to records of temperature, precipitation, drip rates, and drip-water chemistry allows the local controls on weathering to be assessed and indicates that a dominant control is exerted by the fluid residence time.
These data are further complemented by batch reactor experiments, which were conducted to replicate rock weathering over timescales of hours to weeks. In combination, the time series and experiments contribute to a better understanding of weathering changes over short timescales and their influence on Li isotopes. In addition, results from the drip-waters provide key ground-truthing for interpreting our ongoing Li isotope measurements on speleothems, which will provide new records of weathering changes over longer timescales in response to regional climate forcing.
[1] Pogge von Strandmann, P.A.E., Frings, P.J., Murphy, M.J. (2017) Lithium isotope behaviour during weathering in the Ganges Alluvial Plain. GCA 198, 17-31.
[2] Misra, S. & Froelich, P.N. (2012) Lithium isotope history of Cenozoic seawater: changes in silicate weathering and reverse weathering. Science 335, 818-823.
[3] Pogge von Strandmann, P.A.E., Vaks, A., Bar-Matthews, M., Ayalon, A., Jacob, E., Henderson, G.M. (2017) Lithium isotopes in speleothems: Temperature-controlled variation in silicate weathering during glacial cycles. EPSL 469, 64-74.
[4] Liu, X.-M., Wanner, C., Rudnick, R.L., McDonough, W.F. (2015) Processes controlling δ7Li in rivers illuminated by study of streams and groundwaters draining basalts. EPSL 409, 212-224.
[5] Pogge von Strandmann, P.A.E., Fraser, W.T., Hammond, S.J., Tarbuck, G., Wood, I.G., Oelkers, E.H., Murphy, M.J. (2019) Experimental determination of Li isotope behaviour during basalt weathering. Chemical Geology 517, 34-43.
How to cite: Wilson, D., Pogge von Strandmann, P., Tarbuck, G., White, J., Atkinson, T., and Hopley, P.: Lithium isotopes tracing weathering processes in a time series through soil porewaters, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10078, https://doi.org/10.5194/egusphere-egu2020-10078, 2020.
EGU2020-20605 | Displays | BG1.6
Urban sediment: a specific geochemical signature compared to natural sediments?Qiufang Zhan, Vincent Chatain, Jean-Baptiste Aubin, Gislain Lipeme Kouyi, Mathieu Gautier, Thierry Winiarski, and Cécile Delolme
Detention and infiltration basin has been increasingly implemented in France in order to provide additional storage of runoff from impervious surfaces due to rapid urbanization. These sustainable urban drainage systems also ensure quality of stormwater infiltrated into groundwater. In urban areas, these devices accumulate suspended particles eroded from city watershed and represent a geochemical signature of these urban watershed. Urban sediments are known to be polluted by high organic and inorganic substance contents, but their geochemical properties and specificities are insufficiently informed. The objective of this work is to study whether geochemical properties of urban sediment accumulated in detention and infiltration basins is distinguished from other natural sediments (from rivers, lake, marine environment). For this purpose, this study focused on relating watershed characteristics and physico-chemical properties of sediment using multivariate analyses based on rank data values. Data were notably collected from the national programs GESSOL (GEStion du patrimoine SOL, i.e. soil environmental functions - soil heritage management) and EC2CO (Ecosphère Continentale et Côtière, i.e. continental and coastal ecosphere) based on 19 infiltration basins around Lyon (France) and from literature (lake, basin, river etc.). Principal Component Analysis (PCA) was used to identify the most important sources of variation between trace metals and organic matters in different sediments. Cluster analysis was performed to group samples of similar sediment characteristics between major variables and trace metals contents. A significant amount of Fe (from 2.52 to 3.92 wt.%) and organic matters (from 18 to 27 wt.%) was found in the urban sediment. The results of PCA showed the influence of grain size on metal variability. Metals are more associated with the aluminosilicates (<63μm fraction), Fe and organic matters. Cluster analysis shows that Ti, Ni, Zn, Cd and Pb are originated from anthropogenic sources, especially discharged from commercial and industrial watershed. This work highlights the singularity of the urban sediment, as they are highly contaminated compared to natural sediments. Hence, the specific treatments are needed to tackle this problematic contamination.
How to cite: Zhan, Q., Chatain, V., Aubin, J.-B., Lipeme Kouyi, G., Gautier, M., Winiarski, T., and Delolme, C.: Urban sediment: a specific geochemical signature compared to natural sediments?, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20605, https://doi.org/10.5194/egusphere-egu2020-20605, 2020.
Detention and infiltration basin has been increasingly implemented in France in order to provide additional storage of runoff from impervious surfaces due to rapid urbanization. These sustainable urban drainage systems also ensure quality of stormwater infiltrated into groundwater. In urban areas, these devices accumulate suspended particles eroded from city watershed and represent a geochemical signature of these urban watershed. Urban sediments are known to be polluted by high organic and inorganic substance contents, but their geochemical properties and specificities are insufficiently informed. The objective of this work is to study whether geochemical properties of urban sediment accumulated in detention and infiltration basins is distinguished from other natural sediments (from rivers, lake, marine environment). For this purpose, this study focused on relating watershed characteristics and physico-chemical properties of sediment using multivariate analyses based on rank data values. Data were notably collected from the national programs GESSOL (GEStion du patrimoine SOL, i.e. soil environmental functions - soil heritage management) and EC2CO (Ecosphère Continentale et Côtière, i.e. continental and coastal ecosphere) based on 19 infiltration basins around Lyon (France) and from literature (lake, basin, river etc.). Principal Component Analysis (PCA) was used to identify the most important sources of variation between trace metals and organic matters in different sediments. Cluster analysis was performed to group samples of similar sediment characteristics between major variables and trace metals contents. A significant amount of Fe (from 2.52 to 3.92 wt.%) and organic matters (from 18 to 27 wt.%) was found in the urban sediment. The results of PCA showed the influence of grain size on metal variability. Metals are more associated with the aluminosilicates (<63μm fraction), Fe and organic matters. Cluster analysis shows that Ti, Ni, Zn, Cd and Pb are originated from anthropogenic sources, especially discharged from commercial and industrial watershed. This work highlights the singularity of the urban sediment, as they are highly contaminated compared to natural sediments. Hence, the specific treatments are needed to tackle this problematic contamination.
How to cite: Zhan, Q., Chatain, V., Aubin, J.-B., Lipeme Kouyi, G., Gautier, M., Winiarski, T., and Delolme, C.: Urban sediment: a specific geochemical signature compared to natural sediments?, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20605, https://doi.org/10.5194/egusphere-egu2020-20605, 2020.
EGU2020-17490 | Displays | BG1.6
Influence of pH on the formation of organic and mineral colloïds and the associated release of various elements from surface sludge deposits of vertical flow constructed wetlands.Camille Banc, Mathieu Gautier, Blanc Denise, Lupsea-Toader Maria, Marsac Rémi, and Gourdon Rémy
In the treatment of raw domestic wastewaters in vertical flow constructed wetlands (VFCW), a sludge layer is formed at the surface of the first-stage filters by the retention of wastewater’s suspended solids. The deposits constituting this layer is now known to accumulate and degrade a large variety of contaminants during regular conditions of operation. The potential release of the contaminants from the sludge deposits under disturbed conditions or during off-site sludge reuse is therefore a major concern. This study investigated the influence of organic colloids on the mobilization of major and trace elements bound to VFCW surface sludge deposits.
Although the role of organic and/or mineral colloidal carrier phases in the transport of elements in natural systems has been extensively studied, little is known in contrast on the production of colloidal carrier phases from anthropic materials and media such as the sludge deposits considered here.
The acid/base neutralizing capacity (environmental assessment procedure ANC/BNC) (CEN/TS 14429) was carried out to assess the release at different pHs. Samples of sludge deposits were contacted with solutions in a wide pH range and the suspensions filtered through 0.45 µm acetate cellulose filters were subsequently analyzed. In addition, the suspensions were also treated by ultrafiltration using successively membranes of decreasing pore size (30 kDa, 10 kDa and 3 kDa). The leached organic molecules were thereby divided into three groups: (i) large colloids (30 kDa-0.45 µm), (ii) small colloids (10 kDa-3 kDa) and (iii) truly dissolved fraction (< 3 kda). The permeates were analyzed for major and trace elements and organic particles. UV-vis spectra were also recorded to evaluate organic matter aromaticity.
Results showed that the molecular weight of the organic matter released was pH-dependent. Under very acidic conditions, the release of dissolved and poorly aromatic organic matter was mostly observed. At natural pH, close to neutrality, the sludge deposits released mostly large organic colloids. At higher pHs, the release of larger organic colloids was observed associated with an increase in the aromaticity of organic molecules.
The major and trace mineral elements released were found in the different fractions analyzed, depending on their affinity with the organic colloidal carrier phases described previously. A first group of elements (As, P, B, V, Na, K) were mostly found in solution, and therefore poorly affected by colloidal transport regardless of pH conditions. A second group (Co, Cu, Ni, Cd, Zn) was found to be relatively uniformly distributed in the fractions associated with the large and small colloids as well as in the dissolved fraction. A third group (Cr, Ba, Mn, Ca, Li, Mg, Sr) was mostly associated to large organic and/or mineral colloids.
The results obtained in this study are a contribution to a better description of colloidal production and the release of associated elements and contaminants from VFCW sludge deposits. This is a key issue in the assessment of environmental risks related to the operation of the treatment plants or the reuse of the sludge material.
How to cite: Banc, C., Gautier, M., Denise, B., Maria, L.-T., Rémi, M., and Rémy, G.: Influence of pH on the formation of organic and mineral colloïds and the associated release of various elements from surface sludge deposits of vertical flow constructed wetlands., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-17490, https://doi.org/10.5194/egusphere-egu2020-17490, 2020.
In the treatment of raw domestic wastewaters in vertical flow constructed wetlands (VFCW), a sludge layer is formed at the surface of the first-stage filters by the retention of wastewater’s suspended solids. The deposits constituting this layer is now known to accumulate and degrade a large variety of contaminants during regular conditions of operation. The potential release of the contaminants from the sludge deposits under disturbed conditions or during off-site sludge reuse is therefore a major concern. This study investigated the influence of organic colloids on the mobilization of major and trace elements bound to VFCW surface sludge deposits.
Although the role of organic and/or mineral colloidal carrier phases in the transport of elements in natural systems has been extensively studied, little is known in contrast on the production of colloidal carrier phases from anthropic materials and media such as the sludge deposits considered here.
The acid/base neutralizing capacity (environmental assessment procedure ANC/BNC) (CEN/TS 14429) was carried out to assess the release at different pHs. Samples of sludge deposits were contacted with solutions in a wide pH range and the suspensions filtered through 0.45 µm acetate cellulose filters were subsequently analyzed. In addition, the suspensions were also treated by ultrafiltration using successively membranes of decreasing pore size (30 kDa, 10 kDa and 3 kDa). The leached organic molecules were thereby divided into three groups: (i) large colloids (30 kDa-0.45 µm), (ii) small colloids (10 kDa-3 kDa) and (iii) truly dissolved fraction (< 3 kda). The permeates were analyzed for major and trace elements and organic particles. UV-vis spectra were also recorded to evaluate organic matter aromaticity.
Results showed that the molecular weight of the organic matter released was pH-dependent. Under very acidic conditions, the release of dissolved and poorly aromatic organic matter was mostly observed. At natural pH, close to neutrality, the sludge deposits released mostly large organic colloids. At higher pHs, the release of larger organic colloids was observed associated with an increase in the aromaticity of organic molecules.
The major and trace mineral elements released were found in the different fractions analyzed, depending on their affinity with the organic colloidal carrier phases described previously. A first group of elements (As, P, B, V, Na, K) were mostly found in solution, and therefore poorly affected by colloidal transport regardless of pH conditions. A second group (Co, Cu, Ni, Cd, Zn) was found to be relatively uniformly distributed in the fractions associated with the large and small colloids as well as in the dissolved fraction. A third group (Cr, Ba, Mn, Ca, Li, Mg, Sr) was mostly associated to large organic and/or mineral colloids.
The results obtained in this study are a contribution to a better description of colloidal production and the release of associated elements and contaminants from VFCW sludge deposits. This is a key issue in the assessment of environmental risks related to the operation of the treatment plants or the reuse of the sludge material.
How to cite: Banc, C., Gautier, M., Denise, B., Maria, L.-T., Rémi, M., and Rémy, G.: Influence of pH on the formation of organic and mineral colloïds and the associated release of various elements from surface sludge deposits of vertical flow constructed wetlands., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-17490, https://doi.org/10.5194/egusphere-egu2020-17490, 2020.
EGU2020-10953 | Displays | BG1.6
Impact of Sustainable Urban Drainage Systems (SUDS) on Vadose Zone WaterArne Reck, Eva Paton, and Björn Kluge
Sustainable Urban Drainage System (SUDS), like bioretention for stormwater runoff infiltration, offer several advantages compared to the traditional centralised sewage drainage. Such approaches maintain the natural water cycle in the urban critical zone and help to mitigate climatic extremes impact on urban areas by retarding, storing and evaporating stormwater runoff. Although SUDS are established since longer time (>25 years for example in Germany) we lack systematic investigations on the hydrological functionality and pollutant retention performance of these systems after long-term operation. We employed laboratory and field experiments coupled with numerical simulations to investigate three long-term operated bioretention systems in Germany with following objectives: (i) a detailed mapping of spatial contamination patterns; (ii) a soil hydrological and -chemical substrate characterisation; (iii) an event-based influent and effluent trace metal concentrations monitoring covering 36 months in total; and (iv) a soil water balance simulation using HYDRUS-1D. Regarding the pollution patterns, we found significantly enhanced trace metal contents in the soil substrate mainly as a function of the drainage area type and kind of inflow regime. Nonetheless, average free metal ion concentrations in the soil seepage water extracted below the upper soil layers (30-45 cm) fall below German trigger values considering the soil-groundwater pathway at all three investigated sites. Compared to influent concentrations, average load reduction of the major pollutants Cu and Zn was 55-95 % within the upper soil layers. With regard to infiltrated runoff volumes, simulated water balances revealed hydraulic load reductions of 10-40 % by evapotranspiration. Our current findings demonstrate no risk of groundwater degradation suggesting bioretention as a powerful tool in terms of maintaining the natural water cycle in the urban vadose zone even after long-term operation. Debatable might be the handling of soil substrates modified by stormwater infiltration showing enhanced trace metal contents and a certain amount of technogenic sediments like tyre wear. On the one hand, a big metal pool is specifically bound meaning it can easily turn into free ions during changing conditions like the application of de-icing agents. On the other hand, these substrates perfectly fulfil pollutant retention and water conductivity requirements as mandatory for an effective stormwater treatment using SUDS approaches.
How to cite: Reck, A., Paton, E., and Kluge, B.: Impact of Sustainable Urban Drainage Systems (SUDS) on Vadose Zone Water, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10953, https://doi.org/10.5194/egusphere-egu2020-10953, 2020.
Sustainable Urban Drainage System (SUDS), like bioretention for stormwater runoff infiltration, offer several advantages compared to the traditional centralised sewage drainage. Such approaches maintain the natural water cycle in the urban critical zone and help to mitigate climatic extremes impact on urban areas by retarding, storing and evaporating stormwater runoff. Although SUDS are established since longer time (>25 years for example in Germany) we lack systematic investigations on the hydrological functionality and pollutant retention performance of these systems after long-term operation. We employed laboratory and field experiments coupled with numerical simulations to investigate three long-term operated bioretention systems in Germany with following objectives: (i) a detailed mapping of spatial contamination patterns; (ii) a soil hydrological and -chemical substrate characterisation; (iii) an event-based influent and effluent trace metal concentrations monitoring covering 36 months in total; and (iv) a soil water balance simulation using HYDRUS-1D. Regarding the pollution patterns, we found significantly enhanced trace metal contents in the soil substrate mainly as a function of the drainage area type and kind of inflow regime. Nonetheless, average free metal ion concentrations in the soil seepage water extracted below the upper soil layers (30-45 cm) fall below German trigger values considering the soil-groundwater pathway at all three investigated sites. Compared to influent concentrations, average load reduction of the major pollutants Cu and Zn was 55-95 % within the upper soil layers. With regard to infiltrated runoff volumes, simulated water balances revealed hydraulic load reductions of 10-40 % by evapotranspiration. Our current findings demonstrate no risk of groundwater degradation suggesting bioretention as a powerful tool in terms of maintaining the natural water cycle in the urban vadose zone even after long-term operation. Debatable might be the handling of soil substrates modified by stormwater infiltration showing enhanced trace metal contents and a certain amount of technogenic sediments like tyre wear. On the one hand, a big metal pool is specifically bound meaning it can easily turn into free ions during changing conditions like the application of de-icing agents. On the other hand, these substrates perfectly fulfil pollutant retention and water conductivity requirements as mandatory for an effective stormwater treatment using SUDS approaches.
How to cite: Reck, A., Paton, E., and Kluge, B.: Impact of Sustainable Urban Drainage Systems (SUDS) on Vadose Zone Water, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10953, https://doi.org/10.5194/egusphere-egu2020-10953, 2020.
EGU2020-8668 | Displays | BG1.6
Can climate adaptation solutions fix the urban heat island? An assessment of the thermal conditions during heat waves in Vienna impacted by climate change and urban development scenarios for the mid-21st-centuryPaul Hamer, Heidelinde Trimmel, Philipp Weihs, Stéphanie Faroux, Herbert Formayer, Kristofer Hasel, Johannes Laiminghofer, David Leidinger, Valéry Masson, Imran Nadeem, Sandro Oswald, Michael Revesz, and Robert Schoetter
Climate change threatens to exacerbate existing problems in urban areas arising from the urban heat island. Furthermore, expansion of urban areas and rising urban populations will increase the numbers of people exposed to hazards in these vulnerable areas. We therefore urgently need study of these environments and in-depth assessment of potential climate adaptation measures.
We present a study of heat wave impacts across the urban landscape of Vienna for different future development pathways and for both present and future climatic conditions. We have created two different urban development scenarios that estimate potential urban sprawl and optimized development concerning future building construction in Vienna and have built a digital representation of each within the Town Energy Balance (TEB) urban surface model. In addition, we select two heat waves of similar frequency of return representative for present and future conditions (following the RCP8.5 scenario) of the mid 21st century and use the Weather Research and Forecasting Model (WRF) to simulate both heat wave events. We then couple the two representations urban Vienna in TEB with the WRF heat wave simulations to estimate air temperature, surface temperatures and human thermal comfort during the heat waves. We then identify and apply a set of adaptation measures within TEB to try to identify potential solutions to the problems associated with the urban heat island.
Global and regional climate change under the RCP8.5 scenario causes the future heat wave to be more severe showing an increase of daily maximum air temperature in Vienna by 7 K; the daily minimum air temperature will increase by 2-4 K. We find that changes caused by urban growth or densification mainly affect air temperature and human thermal comfort local to where new urbanisation takes place and does not occur significantly in the existing central districts.
Exploring adaptation solutions, we find that a combination of near zero-energy standards and increasing albedo of building materials on the city scale accomplishes a maximum reduction of urban canyon temperature of 0.9 K for the minima and 0.2 K for the maxima. Local scale changes of different adaption measures show that insulation of buildings alone increases the maximum wall surface temperatures by more than 10 K or the maximum mean radiant temperature (MRT) in the canyon by 5 K. Therefore, additional adaptation to reduce MRT within the urban canyons like tree shade are needed to complement the proposed measures.
This study concludes that the rising air temperatures expected by climate change puts an unprecedented heat burden on Viennese inhabitants, which cannot easily be reduced by measures concerning buildings within the city itself. Additionally, measures such as planting trees to provide shade, regional water sensitive planning and global reduction of greenhouse gas emissions in order to reduce temperature extremes are required.
We are now actively seeking to apply this set of tools to a wider set of cases in order to try to find effective solutions to projected warming resulting from climate change in urban areas.
How to cite: Hamer, P., Trimmel, H., Weihs, P., Faroux, S., Formayer, H., Hasel, K., Laiminghofer, J., Leidinger, D., Masson, V., Nadeem, I., Oswald, S., Revesz, M., and Schoetter, R.: Can climate adaptation solutions fix the urban heat island? An assessment of the thermal conditions during heat waves in Vienna impacted by climate change and urban development scenarios for the mid-21st-century , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8668, https://doi.org/10.5194/egusphere-egu2020-8668, 2020.
Climate change threatens to exacerbate existing problems in urban areas arising from the urban heat island. Furthermore, expansion of urban areas and rising urban populations will increase the numbers of people exposed to hazards in these vulnerable areas. We therefore urgently need study of these environments and in-depth assessment of potential climate adaptation measures.
We present a study of heat wave impacts across the urban landscape of Vienna for different future development pathways and for both present and future climatic conditions. We have created two different urban development scenarios that estimate potential urban sprawl and optimized development concerning future building construction in Vienna and have built a digital representation of each within the Town Energy Balance (TEB) urban surface model. In addition, we select two heat waves of similar frequency of return representative for present and future conditions (following the RCP8.5 scenario) of the mid 21st century and use the Weather Research and Forecasting Model (WRF) to simulate both heat wave events. We then couple the two representations urban Vienna in TEB with the WRF heat wave simulations to estimate air temperature, surface temperatures and human thermal comfort during the heat waves. We then identify and apply a set of adaptation measures within TEB to try to identify potential solutions to the problems associated with the urban heat island.
Global and regional climate change under the RCP8.5 scenario causes the future heat wave to be more severe showing an increase of daily maximum air temperature in Vienna by 7 K; the daily minimum air temperature will increase by 2-4 K. We find that changes caused by urban growth or densification mainly affect air temperature and human thermal comfort local to where new urbanisation takes place and does not occur significantly in the existing central districts.
Exploring adaptation solutions, we find that a combination of near zero-energy standards and increasing albedo of building materials on the city scale accomplishes a maximum reduction of urban canyon temperature of 0.9 K for the minima and 0.2 K for the maxima. Local scale changes of different adaption measures show that insulation of buildings alone increases the maximum wall surface temperatures by more than 10 K or the maximum mean radiant temperature (MRT) in the canyon by 5 K. Therefore, additional adaptation to reduce MRT within the urban canyons like tree shade are needed to complement the proposed measures.
This study concludes that the rising air temperatures expected by climate change puts an unprecedented heat burden on Viennese inhabitants, which cannot easily be reduced by measures concerning buildings within the city itself. Additionally, measures such as planting trees to provide shade, regional water sensitive planning and global reduction of greenhouse gas emissions in order to reduce temperature extremes are required.
We are now actively seeking to apply this set of tools to a wider set of cases in order to try to find effective solutions to projected warming resulting from climate change in urban areas.
How to cite: Hamer, P., Trimmel, H., Weihs, P., Faroux, S., Formayer, H., Hasel, K., Laiminghofer, J., Leidinger, D., Masson, V., Nadeem, I., Oswald, S., Revesz, M., and Schoetter, R.: Can climate adaptation solutions fix the urban heat island? An assessment of the thermal conditions during heat waves in Vienna impacted by climate change and urban development scenarios for the mid-21st-century , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8668, https://doi.org/10.5194/egusphere-egu2020-8668, 2020.
EGU2020-11645 | Displays | BG1.6
Hydroclimatic control on global weathering regimesSalvatore Calabrese and Amilcare Porporato
Chemical weathering strongly impacts the evolution of the Critical Zone and the climate system. The large number of factors affecting weathering rates, however, makes it difficult to interpret measurements across different climatic and geologic settings. Here, we use the π theorem of dimensional analysis to develop a theoretical framework for global datasets of chemical weathering rates. The analysis reveals the dominant role of wetness on the chemical depletion of parent materials and provides a functional relationship to estimate the chemical depletion fraction from readily available climatic variables. Based on this finding, we calculate the spatial distribution of chemical depletion fraction and identify the areas where weathering rates are limited by the supply of fresh minerals or by water availability, and the areas where they are susceptible to future shifts in wetness.
How to cite: Calabrese, S. and Porporato, A.: Hydroclimatic control on global weathering regimes, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11645, https://doi.org/10.5194/egusphere-egu2020-11645, 2020.
Chemical weathering strongly impacts the evolution of the Critical Zone and the climate system. The large number of factors affecting weathering rates, however, makes it difficult to interpret measurements across different climatic and geologic settings. Here, we use the π theorem of dimensional analysis to develop a theoretical framework for global datasets of chemical weathering rates. The analysis reveals the dominant role of wetness on the chemical depletion of parent materials and provides a functional relationship to estimate the chemical depletion fraction from readily available climatic variables. Based on this finding, we calculate the spatial distribution of chemical depletion fraction and identify the areas where weathering rates are limited by the supply of fresh minerals or by water availability, and the areas where they are susceptible to future shifts in wetness.
How to cite: Calabrese, S. and Porporato, A.: Hydroclimatic control on global weathering regimes, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11645, https://doi.org/10.5194/egusphere-egu2020-11645, 2020.
EGU2020-11100 | Displays | BG1.6
Regolith production rates from 238U-234U-230Th disequilibrium in a deep granitic weathering profile (Longnan, SE China)Guodong Jia, François Chabaux, Jérôme van der Woerd, Eric Pelt, Raphaël di Chiara, Julien Ackerer, Zhi-Qi Zhao, Ye Yang, Sheng Xu, and Cong-Qiang Liu
The present study seeks to evaluate the application of the 238U-234U-230Th radioactive disequilibrium methodology for the determination of the regolith production rates in thick weathering profiles marked by long histories, encountered under various climate regimes, but still very little studied by these techniques. For this purpose, 238U-234U-230Th disequilibria have been analyzed in a ≈ 11 m-deep profile developed on a granitic bedrock in south China (Longnan, Jiangxi Province) under a subtropical climate. The results demonstrate that in such deep weathering profiles the determination of weathering rates from the analysis of U-series nuclides in bulk rock samples cannot be recovered by applying in one step to the entire alteration profile the modeling approach classically used to interpret the U-series nuclides, i.e. the “gain and loss” model. The modeling has to be made on subsections of relatively small size (<1 or 2 meters of thickness), so that the model assumptions can be met, especially the constancy of the mobility parameters along the weathering zone. The results also confirm that the upper part of the weathering profiles marked by the vegetation/biological influences and responding to the short-term climate variations is not well adapted for applying the U-series nuclides methodology for recovering regolith production rates. Based on the data, regolith production rates were estimated independently on four different zones of the profile. Similar values of ~2m/Ma have been obtained whatever the level, suggesting that such a profile of more than 5 million years would be formed at a relatively stable long-term production rate (averaged over several thousand years). This slow production rate of 2 m/Ma can be reconciled with the previously published in situ 10Be data from the same profile, when assuming non steady-state erosion of the upper part of the profile. Slow denudation rates similar to the U-series derived production rates of 2 m/Ma can thus be obtained with a minimum exposure time of 40 ky, and an inherited component of 20-25*104 at/g originating from the exhumed deeper part of the profile. Altogether the data demonstrate that the combined analysis of U-series and cosmogenic nuclides, which has the potential to become a relevant approach to constrain the dynamics of continental surfaces, requires (a) dense and deep sampling for both nuclides studies, and (b) also to consider more systematically the polyphased and variable history of erosion of the continental surface during the Quaternary. These results have implications for the interpretation of long-term accumulation of 10Be at depth and 10Be data variations in granitic alteration profiles.
How to cite: Jia, G., Chabaux, F., van der Woerd, J., Pelt, E., di Chiara, R., Ackerer, J., Zhao, Z.-Q., Yang, Y., Xu, S., and Liu, C.-Q.: Regolith production rates from 238U-234U-230Th disequilibrium in a deep granitic weathering profile (Longnan, SE China), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11100, https://doi.org/10.5194/egusphere-egu2020-11100, 2020.
The present study seeks to evaluate the application of the 238U-234U-230Th radioactive disequilibrium methodology for the determination of the regolith production rates in thick weathering profiles marked by long histories, encountered under various climate regimes, but still very little studied by these techniques. For this purpose, 238U-234U-230Th disequilibria have been analyzed in a ≈ 11 m-deep profile developed on a granitic bedrock in south China (Longnan, Jiangxi Province) under a subtropical climate. The results demonstrate that in such deep weathering profiles the determination of weathering rates from the analysis of U-series nuclides in bulk rock samples cannot be recovered by applying in one step to the entire alteration profile the modeling approach classically used to interpret the U-series nuclides, i.e. the “gain and loss” model. The modeling has to be made on subsections of relatively small size (<1 or 2 meters of thickness), so that the model assumptions can be met, especially the constancy of the mobility parameters along the weathering zone. The results also confirm that the upper part of the weathering profiles marked by the vegetation/biological influences and responding to the short-term climate variations is not well adapted for applying the U-series nuclides methodology for recovering regolith production rates. Based on the data, regolith production rates were estimated independently on four different zones of the profile. Similar values of ~2m/Ma have been obtained whatever the level, suggesting that such a profile of more than 5 million years would be formed at a relatively stable long-term production rate (averaged over several thousand years). This slow production rate of 2 m/Ma can be reconciled with the previously published in situ 10Be data from the same profile, when assuming non steady-state erosion of the upper part of the profile. Slow denudation rates similar to the U-series derived production rates of 2 m/Ma can thus be obtained with a minimum exposure time of 40 ky, and an inherited component of 20-25*104 at/g originating from the exhumed deeper part of the profile. Altogether the data demonstrate that the combined analysis of U-series and cosmogenic nuclides, which has the potential to become a relevant approach to constrain the dynamics of continental surfaces, requires (a) dense and deep sampling for both nuclides studies, and (b) also to consider more systematically the polyphased and variable history of erosion of the continental surface during the Quaternary. These results have implications for the interpretation of long-term accumulation of 10Be at depth and 10Be data variations in granitic alteration profiles.
How to cite: Jia, G., Chabaux, F., van der Woerd, J., Pelt, E., di Chiara, R., Ackerer, J., Zhao, Z.-Q., Yang, Y., Xu, S., and Liu, C.-Q.: Regolith production rates from 238U-234U-230Th disequilibrium in a deep granitic weathering profile (Longnan, SE China), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11100, https://doi.org/10.5194/egusphere-egu2020-11100, 2020.
EGU2020-11626 | Displays | BG1.6
Lithological controls on soil formation rates and the implications for soil sustainabilityDaniel Evans, John Quinton, Andrew Tye, Angel Rodes, Jessica Davies, and Simon Mudd
Soils deliver multiple ecosystem services and their long-term sustainability is fundamentally determined by the rates at which they form and erode. Our knowledge and understanding of soil formation is not commensurate with that of soil erosion, but developments in cosmogenic radionuclide analysis have enabled soil scientists to more accurately constrain the rates at which soils form from bedrock. To date, all three major rock types – igneous, sedimentary and metamorphic lithologies – have been examined in such work. Soil formation rates have been measured and compared between these rock types but the impact of rock characteristics such as mineralogy or porosity on soil formation rates has seldom been explored. In this UK-based study, we addressed this knowledge gap by using cosmogenic radionuclide analysis to investigate whether the lithological variability of sandstone governs pedogenesis. Soil formation rates from two arable hillslopes underlain by different types of arenite sandstone were calculated. Rates ranged from 0.090 to 0.193 mm yr-1 and although the sandstones differed in porosity, no significant differences in soil formation rates were found between them. On the contrary, these rates significantly differed from those measured at two other sandstone-based sites in the UK, and with the rates compiled in global inventory of cosmogenic studies on sandstone-based soils. We suggest that this is due to the absence of matrix and the greater porosities exhibited at our UK sites in comparison to the matrix-abundant, less porous wackes that have been studied previously. We then used soil formation rates to calculate first-order soil lifespans for both of our hillslopes. In a worst case scenario, the lifespan of the A horizon at one of our sites could be eroded in less than 40 years, with bedrock exposure occurring in less than 190 years. This underlines the urgency required in ameliorating rates of soil erosion. However, we also demonstrate the importance of measuring soil erosion and formation in parallel, at the site of interest, rather than calculating a mean rate from the literature, as we demonstrate soil formation rates can vary significantly among variants of the same rock type.
How to cite: Evans, D., Quinton, J., Tye, A., Rodes, A., Davies, J., and Mudd, S.: Lithological controls on soil formation rates and the implications for soil sustainability, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11626, https://doi.org/10.5194/egusphere-egu2020-11626, 2020.
Soils deliver multiple ecosystem services and their long-term sustainability is fundamentally determined by the rates at which they form and erode. Our knowledge and understanding of soil formation is not commensurate with that of soil erosion, but developments in cosmogenic radionuclide analysis have enabled soil scientists to more accurately constrain the rates at which soils form from bedrock. To date, all three major rock types – igneous, sedimentary and metamorphic lithologies – have been examined in such work. Soil formation rates have been measured and compared between these rock types but the impact of rock characteristics such as mineralogy or porosity on soil formation rates has seldom been explored. In this UK-based study, we addressed this knowledge gap by using cosmogenic radionuclide analysis to investigate whether the lithological variability of sandstone governs pedogenesis. Soil formation rates from two arable hillslopes underlain by different types of arenite sandstone were calculated. Rates ranged from 0.090 to 0.193 mm yr-1 and although the sandstones differed in porosity, no significant differences in soil formation rates were found between them. On the contrary, these rates significantly differed from those measured at two other sandstone-based sites in the UK, and with the rates compiled in global inventory of cosmogenic studies on sandstone-based soils. We suggest that this is due to the absence of matrix and the greater porosities exhibited at our UK sites in comparison to the matrix-abundant, less porous wackes that have been studied previously. We then used soil formation rates to calculate first-order soil lifespans for both of our hillslopes. In a worst case scenario, the lifespan of the A horizon at one of our sites could be eroded in less than 40 years, with bedrock exposure occurring in less than 190 years. This underlines the urgency required in ameliorating rates of soil erosion. However, we also demonstrate the importance of measuring soil erosion and formation in parallel, at the site of interest, rather than calculating a mean rate from the literature, as we demonstrate soil formation rates can vary significantly among variants of the same rock type.
How to cite: Evans, D., Quinton, J., Tye, A., Rodes, A., Davies, J., and Mudd, S.: Lithological controls on soil formation rates and the implications for soil sustainability, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11626, https://doi.org/10.5194/egusphere-egu2020-11626, 2020.
EGU2020-20385 | Displays | BG1.6
Lithium isotopes as a probe of anthropogenic activities: Dommel RiverPhilippe Negrel, Romain Millot, and Emmanuelle Petelet-Giraud
Lithium (Li) contents and isotopes were studied in the Dommel catchment, a small riverine system in northern Belgium and the southern part of the Netherlands discharging into the Meuse River downstream of Eindhoven. This covered surface and groundwaters developed onto sand and gravel in the catchment. The integrated investigation aimed at evaluating the potential of Li isotopes as effective tracers of anthropogenic activities in addition to efficiently trace water/rock interaction processes within a sandy environment. The d7Li values and Li concentrations were measured following standard chemical purification of Li using the cationic exchange resin protocol in a clean lab. Lithium-isotope compositions were measured with a Neptune MC-ICP-MS and Li concentrations by ICP-MS.
Dissolved lithium concentrations in the Dommel catchment span one order of magnitude ranging from 1.55 to 39.20 µg/L, with a mean concentration of 6.58 µg/L higher than the worldwide riverine average of 1.9 µg/L. The dissolved d7Li displays a large range of variation from +5.4‰ to +27.8‰. Part of the catchment can be impacted by smelter effluents with Li concentrations in the range 91 – 526 µg/L (mean value 288.36 µg/L) and a d7Li of around +25.6‰ and then dilution along the flowpath of the river basin.
To go further into the interpretation of the dataset in terms of using Li isotopes as a probe of anthropogenic activities, we first applied an atmospheric-input correction to waters both for Li concentration and d7Li as rainfall constitutes an important fraction of dissolved elements in the Dommel waters (8 to 100% of Li in waters is derived from atmosphere). Secondly, we determined and quantified the anthropogenic influence using δ7Li and mixing equations in the impacted parts of the catchment.
How to cite: Negrel, P., Millot, R., and Petelet-Giraud, E.: Lithium isotopes as a probe of anthropogenic activities: Dommel River, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20385, https://doi.org/10.5194/egusphere-egu2020-20385, 2020.
Lithium (Li) contents and isotopes were studied in the Dommel catchment, a small riverine system in northern Belgium and the southern part of the Netherlands discharging into the Meuse River downstream of Eindhoven. This covered surface and groundwaters developed onto sand and gravel in the catchment. The integrated investigation aimed at evaluating the potential of Li isotopes as effective tracers of anthropogenic activities in addition to efficiently trace water/rock interaction processes within a sandy environment. The d7Li values and Li concentrations were measured following standard chemical purification of Li using the cationic exchange resin protocol in a clean lab. Lithium-isotope compositions were measured with a Neptune MC-ICP-MS and Li concentrations by ICP-MS.
Dissolved lithium concentrations in the Dommel catchment span one order of magnitude ranging from 1.55 to 39.20 µg/L, with a mean concentration of 6.58 µg/L higher than the worldwide riverine average of 1.9 µg/L. The dissolved d7Li displays a large range of variation from +5.4‰ to +27.8‰. Part of the catchment can be impacted by smelter effluents with Li concentrations in the range 91 – 526 µg/L (mean value 288.36 µg/L) and a d7Li of around +25.6‰ and then dilution along the flowpath of the river basin.
To go further into the interpretation of the dataset in terms of using Li isotopes as a probe of anthropogenic activities, we first applied an atmospheric-input correction to waters both for Li concentration and d7Li as rainfall constitutes an important fraction of dissolved elements in the Dommel waters (8 to 100% of Li in waters is derived from atmosphere). Secondly, we determined and quantified the anthropogenic influence using δ7Li and mixing equations in the impacted parts of the catchment.
How to cite: Negrel, P., Millot, R., and Petelet-Giraud, E.: Lithium isotopes as a probe of anthropogenic activities: Dommel River, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20385, https://doi.org/10.5194/egusphere-egu2020-20385, 2020.
EGU2020-12113 | Displays | BG1.6
Soils in the urban critical zone - Analyse of anthropogenic pressures and current proposals to preserve soil functions and ecosystem servicesBeatrice Bechet, Laure Beaudet, Philippe Branchu, Patrice Cannavo, Cécile Delolme, Liliane Jean-Soro, Thierry Lebeau, Cécile Le Guern, Fabienne Marseille, and Christophe Schwartz
By 2017, the book "Soils within cities" (Levin et al., 2017) is moving away from the pedologist's description of urban soils to a broader understanding of urban soils, including the functions and the services they provide. This approach, which complements the naturalistic description of the soil, corresponds to the approach derived from the millennium ecosystems assessment (Morel et al., 2015; Walter et al., 2015). It is considered to be relatively anthropocentric and thus favours the integration of the soil in the urban socio-ecosystem.
Considering the soil by both its pedogenesis and functioning in ecosystems induces taking into account the dynamics of this system, but raises, with regard to the literature on urban soils, the existing lack to qualify and quantify the processes of genesis and evolution, especially in relation to ongoing climate change (Baveye et al., 2016). On the other hand, the description of soil ecosystem services (regulation, provisioning, cultural services) immediately reveals the interdependence of soil biophysicochemical processes with those occurring in the hydrosphere, the atmosphere and the biosphere (Adhikari and Hartemink, 2016). In this respect, the soil plays an interface role, but is deeply disturbed in urban areas.
The objective of the communication will be to review the status of urban soil in the "urban critical zone" concept. Through methodologies and results from projects implemented in French major cities that have enabled the development of databases, we will review the classification of these atypical soils and the changes in their properties and functions. Through the definition of the services they provide, we will propose a more integrated vision of this compartment of the urban ecosystem, by specifying the forcing caused by its interface position, but also the opportunities of improvement foreseen by the development of solutions for revegetation and de-sealing. We will see how the timeframe of soil evolution in urban zones can influence the data collection of soil parameters and mapping.
How to cite: Bechet, B., Beaudet, L., Branchu, P., Cannavo, P., Delolme, C., Jean-Soro, L., Lebeau, T., Le Guern, C., Marseille, F., and Schwartz, C.: Soils in the urban critical zone - Analyse of anthropogenic pressures and current proposals to preserve soil functions and ecosystem services, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12113, https://doi.org/10.5194/egusphere-egu2020-12113, 2020.
By 2017, the book "Soils within cities" (Levin et al., 2017) is moving away from the pedologist's description of urban soils to a broader understanding of urban soils, including the functions and the services they provide. This approach, which complements the naturalistic description of the soil, corresponds to the approach derived from the millennium ecosystems assessment (Morel et al., 2015; Walter et al., 2015). It is considered to be relatively anthropocentric and thus favours the integration of the soil in the urban socio-ecosystem.
Considering the soil by both its pedogenesis and functioning in ecosystems induces taking into account the dynamics of this system, but raises, with regard to the literature on urban soils, the existing lack to qualify and quantify the processes of genesis and evolution, especially in relation to ongoing climate change (Baveye et al., 2016). On the other hand, the description of soil ecosystem services (regulation, provisioning, cultural services) immediately reveals the interdependence of soil biophysicochemical processes with those occurring in the hydrosphere, the atmosphere and the biosphere (Adhikari and Hartemink, 2016). In this respect, the soil plays an interface role, but is deeply disturbed in urban areas.
The objective of the communication will be to review the status of urban soil in the "urban critical zone" concept. Through methodologies and results from projects implemented in French major cities that have enabled the development of databases, we will review the classification of these atypical soils and the changes in their properties and functions. Through the definition of the services they provide, we will propose a more integrated vision of this compartment of the urban ecosystem, by specifying the forcing caused by its interface position, but also the opportunities of improvement foreseen by the development of solutions for revegetation and de-sealing. We will see how the timeframe of soil evolution in urban zones can influence the data collection of soil parameters and mapping.
How to cite: Bechet, B., Beaudet, L., Branchu, P., Cannavo, P., Delolme, C., Jean-Soro, L., Lebeau, T., Le Guern, C., Marseille, F., and Schwartz, C.: Soils in the urban critical zone - Analyse of anthropogenic pressures and current proposals to preserve soil functions and ecosystem services, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12113, https://doi.org/10.5194/egusphere-egu2020-12113, 2020.
EGU2020-14486 | Displays | BG1.6 | Highlight
Observil - A French network project of urban critical zone observatoriesFabrice Rodriguez, Jean Nabucet, Jules Kouadio, Beatrice Bechet, Nadege Blond, Emmanuel Bozonnet, Ghassan Chebbo, Damien David, Sihem Guernouti, Thomas Houet, Pascal Keravec, Thierry Lebeau, Gislain Lipeme-Kouyi, Valery Masson, Anne Puissant, Yves Richard, Christophe Schwartz, and Zahra Thomas
One significant effect of urbanization is the modification of environmental conditions, with potential effects on the functioning of urban ecosystems and on their ability to perform functions and to provide service. This is due to both the multiple changes of surfaces and soils, and to an increased human pressure. These changes have indeed major negative impacts on natural resources such as air, water, soil, and biodiversity they host, and may affect locally the human thermal comfort, in addition to the climate change. A better understanding of the physical and biogeochemical processes leading to these changes is then crucial in order to propose and to optimize the mitigation and adaptation strategies. Following the recent efforts in the development of Critical Zones Observatories (CZOs), a new research initiative will regroup well-monitored and well-characterized urban field sites all over the French national territory within a National Observation Service called Observil. This observatory aims to address a multidisciplinary approach of urban environments, through a smart definition of appropriate variables and indicators required to better describe the physical and geochemical processes involved in the quality and the dynamic of the soil-surface-atmosphere compartments in cities. To do that, a common Spatial Information System dedicated to the creation of a structured observation database is under construction, in order to regroup the data from a large network bringing together 9 French cities under very contrasted environmental conditions (urban morphology, geology, climate). The main scientific questions addressed by this observation network project will be presented, along with a description of the the selected variables measured on the different sites.
How to cite: Rodriguez, F., Nabucet, J., Kouadio, J., Bechet, B., Blond, N., Bozonnet, E., Chebbo, G., David, D., Guernouti, S., Houet, T., Keravec, P., Lebeau, T., Lipeme-Kouyi, G., Masson, V., Puissant, A., Richard, Y., Schwartz, C., and Thomas, Z.: Observil - A French network project of urban critical zone observatories, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-14486, https://doi.org/10.5194/egusphere-egu2020-14486, 2020.
One significant effect of urbanization is the modification of environmental conditions, with potential effects on the functioning of urban ecosystems and on their ability to perform functions and to provide service. This is due to both the multiple changes of surfaces and soils, and to an increased human pressure. These changes have indeed major negative impacts on natural resources such as air, water, soil, and biodiversity they host, and may affect locally the human thermal comfort, in addition to the climate change. A better understanding of the physical and biogeochemical processes leading to these changes is then crucial in order to propose and to optimize the mitigation and adaptation strategies. Following the recent efforts in the development of Critical Zones Observatories (CZOs), a new research initiative will regroup well-monitored and well-characterized urban field sites all over the French national territory within a National Observation Service called Observil. This observatory aims to address a multidisciplinary approach of urban environments, through a smart definition of appropriate variables and indicators required to better describe the physical and geochemical processes involved in the quality and the dynamic of the soil-surface-atmosphere compartments in cities. To do that, a common Spatial Information System dedicated to the creation of a structured observation database is under construction, in order to regroup the data from a large network bringing together 9 French cities under very contrasted environmental conditions (urban morphology, geology, climate). The main scientific questions addressed by this observation network project will be presented, along with a description of the the selected variables measured on the different sites.
How to cite: Rodriguez, F., Nabucet, J., Kouadio, J., Bechet, B., Blond, N., Bozonnet, E., Chebbo, G., David, D., Guernouti, S., Houet, T., Keravec, P., Lebeau, T., Lipeme-Kouyi, G., Masson, V., Puissant, A., Richard, Y., Schwartz, C., and Thomas, Z.: Observil - A French network project of urban critical zone observatories, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-14486, https://doi.org/10.5194/egusphere-egu2020-14486, 2020.
EGU2020-2956 | Displays | BG1.6
A Critical Zone Approach to Carbon Fluxes in the Arctic TundraMariasilvia Giamberini, Ilaria Baneschi, Matteo Lelli, Marta Magnani, Brunella Raco, and Antonello Provenzale
Arctic tundra is currently undergoing significant changes induced by the effects of a rapid temperature rise, that in the Arctic is about twice as fast as in the rest of the world. The response of the system composed by the permafrost active layer, soil and vegetation is especially relevant. In fact, it is still unclear whether the system will turn from a carbon sink to a carbon source, owing to the interplay of two opposite phenomena: the increasing time span of the growing season, favouring Net Ecosystem Production (NEP), and the increasing soil temperatures, favouring degradation of organic matter through heterotrophic respiration (HR) and then creating a positive climate feedback. In this work, we analyse soil-vegetation-atmosphere CO2 flux data of a field campaign conducted in the Bayelva river basin, Spitzbergen, in the Svalbard Archipelago (NO) during summer 2019, measured by a portable accumulation chamber. We use a “Critical Zone” perspective, considering the multiple interactions between biotic and abiotic components. We measured the Net Ecosystem Exchange (NEE) and Ecosystem Respiration (ER) along a slope gradient at different degrees of soil humidity and active layer depths, relating flux data to climate and environmental parameters, soil physical-chemical parameters and vegetation type. The statistical empirical relationships between variables are analysed to identify the main drivers of carbon exchanges. An empirical data-driven model is built to describe the coupled dynamics of soil, vegetation, water and atmosphere that contributes to budgeting the carbon cycle in the Arctic Critical Zone. A comparison of the carbon fluxes obtained with the accumulation chamber method and an Eddy Covariance tower located in the same area is also addressed.
How to cite: Giamberini, M., Baneschi, I., Lelli, M., Magnani, M., Raco, B., and Provenzale, A.: A Critical Zone Approach to Carbon Fluxes in the Arctic Tundra, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2956, https://doi.org/10.5194/egusphere-egu2020-2956, 2020.
Arctic tundra is currently undergoing significant changes induced by the effects of a rapid temperature rise, that in the Arctic is about twice as fast as in the rest of the world. The response of the system composed by the permafrost active layer, soil and vegetation is especially relevant. In fact, it is still unclear whether the system will turn from a carbon sink to a carbon source, owing to the interplay of two opposite phenomena: the increasing time span of the growing season, favouring Net Ecosystem Production (NEP), and the increasing soil temperatures, favouring degradation of organic matter through heterotrophic respiration (HR) and then creating a positive climate feedback. In this work, we analyse soil-vegetation-atmosphere CO2 flux data of a field campaign conducted in the Bayelva river basin, Spitzbergen, in the Svalbard Archipelago (NO) during summer 2019, measured by a portable accumulation chamber. We use a “Critical Zone” perspective, considering the multiple interactions between biotic and abiotic components. We measured the Net Ecosystem Exchange (NEE) and Ecosystem Respiration (ER) along a slope gradient at different degrees of soil humidity and active layer depths, relating flux data to climate and environmental parameters, soil physical-chemical parameters and vegetation type. The statistical empirical relationships between variables are analysed to identify the main drivers of carbon exchanges. An empirical data-driven model is built to describe the coupled dynamics of soil, vegetation, water and atmosphere that contributes to budgeting the carbon cycle in the Arctic Critical Zone. A comparison of the carbon fluxes obtained with the accumulation chamber method and an Eddy Covariance tower located in the same area is also addressed.
How to cite: Giamberini, M., Baneschi, I., Lelli, M., Magnani, M., Raco, B., and Provenzale, A.: A Critical Zone Approach to Carbon Fluxes in the Arctic Tundra, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2956, https://doi.org/10.5194/egusphere-egu2020-2956, 2020.
EGU2020-21791 | Displays | BG1.6
From the Critical Zone to decision support tools for China's agriculturePaul Hallett and the China/UK Critical Zone Obervatory Team
A number of critical zone observatories across China have focussed on human impacts caused by agriculture, particularly the sustainability of soil and water resources. Using the CZO approach of measuring from the top of vegetation, through soil, to the bedrock below, joint China/UK projects at these CZOs have quantified large pools of previously undocumented nitrogen stored at depth, pathways for water loss and pollutant transport and drivers of accentuated soil erosion. Socioeconomic studies have found that these challenges to land and water resources tie in well with the concerns of farmers. In two different regions of China, farmers identified fertilisers as their greatest cost and water availability as their biggest challenge. Using large data-sets generated over the past 4 years in these projects, we are developing Decision Support Tools (DSTs) underpinned by CZO science that can guide farmers and policy makers. The work addresses food and water security in the context of climate change and diminishing resources, with an aim to improve livelihoods and sustainable economic development. We have been guided by a review of over 400 DSTs designed for agriculture and the environment, which have been ranked in terms of their outputs and data requirements. A goal at the EGU will be to develop links with other CZO projects to help with our DST development.
How to cite: Hallett, P. and the China/UK Critical Zone Obervatory Team: From the Critical Zone to decision support tools for China's agriculture, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21791, https://doi.org/10.5194/egusphere-egu2020-21791, 2020.
A number of critical zone observatories across China have focussed on human impacts caused by agriculture, particularly the sustainability of soil and water resources. Using the CZO approach of measuring from the top of vegetation, through soil, to the bedrock below, joint China/UK projects at these CZOs have quantified large pools of previously undocumented nitrogen stored at depth, pathways for water loss and pollutant transport and drivers of accentuated soil erosion. Socioeconomic studies have found that these challenges to land and water resources tie in well with the concerns of farmers. In two different regions of China, farmers identified fertilisers as their greatest cost and water availability as their biggest challenge. Using large data-sets generated over the past 4 years in these projects, we are developing Decision Support Tools (DSTs) underpinned by CZO science that can guide farmers and policy makers. The work addresses food and water security in the context of climate change and diminishing resources, with an aim to improve livelihoods and sustainable economic development. We have been guided by a review of over 400 DSTs designed for agriculture and the environment, which have been ranked in terms of their outputs and data requirements. A goal at the EGU will be to develop links with other CZO projects to help with our DST development.
How to cite: Hallett, P. and the China/UK Critical Zone Obervatory Team: From the Critical Zone to decision support tools for China's agriculture, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21791, https://doi.org/10.5194/egusphere-egu2020-21791, 2020.
EGU2020-4130 | Displays | BG1.6
The occurrence of drought amplified yield loss risk for maize production in ChinaShengli Liu and Wenbin Wu
Increasing drought event is one of the major threats to yield stability and crop production. However, the precise quantification of crop response to such extreme weather is still in lack. Unlike the deterministic researches of drought effects, we propose an insightful probabilistic perspective to quantify drought impacts on maize yield across China. The county-specific combination of annual maize yield anomaly and standardized precipitation evapotranspiration index (SPEI) across its growing season during 1981-2010 was utilized to build a copula-based probabilistic diagram, for the purpose to predict yield loss risk under different drought types. The results reveal that, when compared with the expected long-term yield, the reduction of maize yield and its uncertainty was in line with the drought severity across the growth season, with yield reduced by -5.14%, -8.05% and -3.94% under moderately dry, severely dry, and extremely dry, respectively. Despite the spatial pattern of SPEI existed varying timescales in determining yield anomaly across different counties, the number of counties where maize experienced drought with a response time starts from June and July accounted for 55.28% of counties across China, and that drought with one month duration occupied 50.29%. A considerable gap in the likelihood of maize yield reduction was detected under drought and under non-drought conditions, which further confirmed the negative impacts of drought on maize yield. Moreover, the conditional estimation revealed that the semi-arid region was more susceptible to the drought-induced yield loss risk of maize in comparison to other regions. The probability of yield loss for maize amplified according to the drought severity along with the significant differences (P < 0.05) among the extreme, severely and moderately drought conditions across all of these sub-regions. Our results highlight the improving knowledge of drought on crop yield anomaly and consequent adaptation was essential for the decision making in coping with extreme weather in agricultural production.
How to cite: Liu, S. and Wu, W.: The occurrence of drought amplified yield loss risk for maize production in China, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4130, https://doi.org/10.5194/egusphere-egu2020-4130, 2020.
Increasing drought event is one of the major threats to yield stability and crop production. However, the precise quantification of crop response to such extreme weather is still in lack. Unlike the deterministic researches of drought effects, we propose an insightful probabilistic perspective to quantify drought impacts on maize yield across China. The county-specific combination of annual maize yield anomaly and standardized precipitation evapotranspiration index (SPEI) across its growing season during 1981-2010 was utilized to build a copula-based probabilistic diagram, for the purpose to predict yield loss risk under different drought types. The results reveal that, when compared with the expected long-term yield, the reduction of maize yield and its uncertainty was in line with the drought severity across the growth season, with yield reduced by -5.14%, -8.05% and -3.94% under moderately dry, severely dry, and extremely dry, respectively. Despite the spatial pattern of SPEI existed varying timescales in determining yield anomaly across different counties, the number of counties where maize experienced drought with a response time starts from June and July accounted for 55.28% of counties across China, and that drought with one month duration occupied 50.29%. A considerable gap in the likelihood of maize yield reduction was detected under drought and under non-drought conditions, which further confirmed the negative impacts of drought on maize yield. Moreover, the conditional estimation revealed that the semi-arid region was more susceptible to the drought-induced yield loss risk of maize in comparison to other regions. The probability of yield loss for maize amplified according to the drought severity along with the significant differences (P < 0.05) among the extreme, severely and moderately drought conditions across all of these sub-regions. Our results highlight the improving knowledge of drought on crop yield anomaly and consequent adaptation was essential for the decision making in coping with extreme weather in agricultural production.
How to cite: Liu, S. and Wu, W.: The occurrence of drought amplified yield loss risk for maize production in China, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4130, https://doi.org/10.5194/egusphere-egu2020-4130, 2020.
EGU2020-4423 | Displays | BG1.6
Coupling model of ecohydrology and simulation of typical shrub ecosystems on the Loess PlateauYu Zhang, Xiaoyan Li, Wei Li, Weiwei Fang, and Fangzhong Shi
Shrub is the main vegetation type for vegetation restoration in the Loess Plateau, which plays an important role in the regional ecosystem restoration. Study on the relationships between vegetation and soil water of typical shrub ecosystems are significant for the restoration and reconstruction of ecosystems in the Loess Plateau. Three typical shrub (Hippophae rhamnoides Linn., Spiraea pubescens Turcz., and Caragana korshinskii Kom.) ecosystems were chosen in the Loess Plateau. Field experiments were conducted to investigate the factors that influencing the processes of rainfall interception and root uptake of typical shrubs. S-Biome-BGC model was established based on the Biome-BGC model by developing the rainfall interception and soil water movement sub-models. The model was calibrated and verified using field data. The calibrated S-Biome-BGC model was used to simulate the characteristics of leaf area index (LAI), net primary productivity (NPP), soil water content and the interactions among them for the shrub ecosystems along the precipitation gradients in the Loess Plateau, respectively. The results showed that the predictions of the S-Biome-BGC model for soil water content and LAI of typical shrub ecosystems in Loess Plateau were significantly more accurate than that of Biome-BGC model. The simulated RMSE of soil water content decreased from 0.040~0.130 cm3 cm-3 to 0.026~0.035 cm3 cm-3, and the simulated RMSE of LAI decreased from 0.37~0.70 m2 m-2 to 0.35~0.37 m2 m-2. Therefore, the S-Biome-BGC model can reflect the interaction between plant growth and soil water content in the shrub ecosystems of the Loess Plateau. The S-Biome-BGC model simulation for LAI, NPP and soil water content of the three typical shrubs were significantly different along the precipitation gradients, and increased with annual precipitation together. However, different LAI, NPP and soil water correlations were found under different precipitation gradients. LAI and NPP have significant positive correlations with soil water content in the areas where the annual precipitation is above 460~500 mm that could afford the shrubs growth. The results of the study provide a re-vegetation threshold to guide future re-vegetation activities in the Loess Plateau.
How to cite: Zhang, Y., Li, X., Li, W., Fang, W., and Shi, F.: Coupling model of ecohydrology and simulation of typical shrub ecosystems on the Loess Plateau, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4423, https://doi.org/10.5194/egusphere-egu2020-4423, 2020.
Shrub is the main vegetation type for vegetation restoration in the Loess Plateau, which plays an important role in the regional ecosystem restoration. Study on the relationships between vegetation and soil water of typical shrub ecosystems are significant for the restoration and reconstruction of ecosystems in the Loess Plateau. Three typical shrub (Hippophae rhamnoides Linn., Spiraea pubescens Turcz., and Caragana korshinskii Kom.) ecosystems were chosen in the Loess Plateau. Field experiments were conducted to investigate the factors that influencing the processes of rainfall interception and root uptake of typical shrubs. S-Biome-BGC model was established based on the Biome-BGC model by developing the rainfall interception and soil water movement sub-models. The model was calibrated and verified using field data. The calibrated S-Biome-BGC model was used to simulate the characteristics of leaf area index (LAI), net primary productivity (NPP), soil water content and the interactions among them for the shrub ecosystems along the precipitation gradients in the Loess Plateau, respectively. The results showed that the predictions of the S-Biome-BGC model for soil water content and LAI of typical shrub ecosystems in Loess Plateau were significantly more accurate than that of Biome-BGC model. The simulated RMSE of soil water content decreased from 0.040~0.130 cm3 cm-3 to 0.026~0.035 cm3 cm-3, and the simulated RMSE of LAI decreased from 0.37~0.70 m2 m-2 to 0.35~0.37 m2 m-2. Therefore, the S-Biome-BGC model can reflect the interaction between plant growth and soil water content in the shrub ecosystems of the Loess Plateau. The S-Biome-BGC model simulation for LAI, NPP and soil water content of the three typical shrubs were significantly different along the precipitation gradients, and increased with annual precipitation together. However, different LAI, NPP and soil water correlations were found under different precipitation gradients. LAI and NPP have significant positive correlations with soil water content in the areas where the annual precipitation is above 460~500 mm that could afford the shrubs growth. The results of the study provide a re-vegetation threshold to guide future re-vegetation activities in the Loess Plateau.
How to cite: Zhang, Y., Li, X., Li, W., Fang, W., and Shi, F.: Coupling model of ecohydrology and simulation of typical shrub ecosystems on the Loess Plateau, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4423, https://doi.org/10.5194/egusphere-egu2020-4423, 2020.
EGU2020-8931 | Displays | BG1.6
Energy demand estimates in large Russian cities and its biometeorological characteristicsIya Belova, Liudmila Krivenok, and Sergy Dokukin
To estimate the energy amount needed to heat indoor living and public spaces, the heating degree day (HDD) parameter is applied. This is the most common climatic indicator of energy consumption for the building heating, which is calculated for a certain period of the year by summing the absolute deviations of the average daily ambient temperature from the selected base temperature. However, human biometeorological sensitivity is based not only on the ambient temperature, but on a combination of temperature, humidity, and wind speed.
We have conducted a comparative analysis of the climatic and biometeorological characteristics of the regions including the largest Russian cities. For the effective ambient temperature range of 17.2 to 21.7⁰C (comfort zone), we have calculated changes in the comfort zone for Moscow, St. Petersburg, Krasnodar, Novosibirsk, and Vladivostok according to data from 1959 to the present. Despite all climate differences between regions with selected cities, allowance for wind speed leads to a decrease in the number of days with temperature within the comfort zone.
This study supported by Russian Science Foundation (project No 16-17-00114).
How to cite: Belova, I., Krivenok, L., and Dokukin, S.: Energy demand estimates in large Russian cities and its biometeorological characteristics , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8931, https://doi.org/10.5194/egusphere-egu2020-8931, 2020.
To estimate the energy amount needed to heat indoor living and public spaces, the heating degree day (HDD) parameter is applied. This is the most common climatic indicator of energy consumption for the building heating, which is calculated for a certain period of the year by summing the absolute deviations of the average daily ambient temperature from the selected base temperature. However, human biometeorological sensitivity is based not only on the ambient temperature, but on a combination of temperature, humidity, and wind speed.
We have conducted a comparative analysis of the climatic and biometeorological characteristics of the regions including the largest Russian cities. For the effective ambient temperature range of 17.2 to 21.7⁰C (comfort zone), we have calculated changes in the comfort zone for Moscow, St. Petersburg, Krasnodar, Novosibirsk, and Vladivostok according to data from 1959 to the present. Despite all climate differences between regions with selected cities, allowance for wind speed leads to a decrease in the number of days with temperature within the comfort zone.
This study supported by Russian Science Foundation (project No 16-17-00114).
How to cite: Belova, I., Krivenok, L., and Dokukin, S.: Energy demand estimates in large Russian cities and its biometeorological characteristics , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8931, https://doi.org/10.5194/egusphere-egu2020-8931, 2020.
EGU2020-9272 | Displays | BG1.6
Spatiotemporal analysis of the housing bubble’s contribution to the proliferation of illegal landfills – The case of Gran CanariaLorenzo Carlos Quesada-Ruiz, Liliana Perez, Victor Rodriguez-Galiano, and David Aragones
The management of disposed waste in illegal landfills (ILs) is a significant problem in contemporary societies due to respective hazards for the environment and human health. This study investigates the spatiotemporal distribution of IL occurrence for 2000, 2006 and 2012 in two representative areas of Gran Canaria island: northwest (Zone A) and east (Zone B). The interannual growth rate of surfaces affected by ILs for the period between 2000 and 2006 was 4.5% and 9.5% and between 2006 and 2012 it was 6.6% and 6.7%, for Zone A and Zone B respectively. The growth of ILs between 2000 and 2006 was higher in urban areas, spaces under construction, and industrial zones, and may be closely related to the process of urban expansion linked to the real estate boom. The latter would have a deep impact on the landscape due to the proliferation of illegal construction and demolition waste. The growth rate of ILs in urban environments fell during the later period of urban expansion. Besides, this work shows the application of cellular automata (CA) in the analysis of IL occurrence, with ILs considered to be a dynamic and complex system. This may supply added value to policies for environmental repair and protection as well as territorial planning (land use and management), by delimiting possible future areas of IL occurrence. In this regard, IL occurrence was simulated over a long timescale (18 years), to estimate and spatially locate the surface growth of ILs based on CA-Markov and Multiobjective Land Allocation models. The modelling of IL proliferation was divided into three phases: calibration, validation and simulation of the future 2018 scenario. Synchronic data series were used, along with Markov chains and transition rules, in all phases. In the calibration phase the suitability analysis was done and the transition rules and transition potential maps were obtained. The use of dynamic characteristics such as those associated to land uses and static characteristics such as elevation and slope helped model the ILs’ growth. Models’ accuracy was assessed using Kappa index and landscape metrics. Simulation outputs were not highly accurate when reproducing the exact location of ILs, however, they did correctly reproduce the distribution patterns for IL proliferation. Obtaining the best validation results, the CA_Markov model was used to simulating IL proliferation in 2018, predicting that increases of 52.3 ha and 81.5 ha affected by ILs in Zone A and Zone B respectively.
How to cite: Quesada-Ruiz, L. C., Perez, L., Rodriguez-Galiano, V., and Aragones, D.: Spatiotemporal analysis of the housing bubble’s contribution to the proliferation of illegal landfills – The case of Gran Canaria, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9272, https://doi.org/10.5194/egusphere-egu2020-9272, 2020.
The management of disposed waste in illegal landfills (ILs) is a significant problem in contemporary societies due to respective hazards for the environment and human health. This study investigates the spatiotemporal distribution of IL occurrence for 2000, 2006 and 2012 in two representative areas of Gran Canaria island: northwest (Zone A) and east (Zone B). The interannual growth rate of surfaces affected by ILs for the period between 2000 and 2006 was 4.5% and 9.5% and between 2006 and 2012 it was 6.6% and 6.7%, for Zone A and Zone B respectively. The growth of ILs between 2000 and 2006 was higher in urban areas, spaces under construction, and industrial zones, and may be closely related to the process of urban expansion linked to the real estate boom. The latter would have a deep impact on the landscape due to the proliferation of illegal construction and demolition waste. The growth rate of ILs in urban environments fell during the later period of urban expansion. Besides, this work shows the application of cellular automata (CA) in the analysis of IL occurrence, with ILs considered to be a dynamic and complex system. This may supply added value to policies for environmental repair and protection as well as territorial planning (land use and management), by delimiting possible future areas of IL occurrence. In this regard, IL occurrence was simulated over a long timescale (18 years), to estimate and spatially locate the surface growth of ILs based on CA-Markov and Multiobjective Land Allocation models. The modelling of IL proliferation was divided into three phases: calibration, validation and simulation of the future 2018 scenario. Synchronic data series were used, along with Markov chains and transition rules, in all phases. In the calibration phase the suitability analysis was done and the transition rules and transition potential maps were obtained. The use of dynamic characteristics such as those associated to land uses and static characteristics such as elevation and slope helped model the ILs’ growth. Models’ accuracy was assessed using Kappa index and landscape metrics. Simulation outputs were not highly accurate when reproducing the exact location of ILs, however, they did correctly reproduce the distribution patterns for IL proliferation. Obtaining the best validation results, the CA_Markov model was used to simulating IL proliferation in 2018, predicting that increases of 52.3 ha and 81.5 ha affected by ILs in Zone A and Zone B respectively.
How to cite: Quesada-Ruiz, L. C., Perez, L., Rodriguez-Galiano, V., and Aragones, D.: Spatiotemporal analysis of the housing bubble’s contribution to the proliferation of illegal landfills – The case of Gran Canaria, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9272, https://doi.org/10.5194/egusphere-egu2020-9272, 2020.
EGU2020-13129 | Displays | BG1.6
Research on Improvement of Rural area Population Spatial Distribution Model Based on Random ForestsChun Dong
Since the founding of New China, especially since the reform and opening up, China has experienced the fastest economic development and the most profound population migration in history. The large-scale migration of China's rural population and labor force is particularly evident. China's rural population accounts for 40.42% in 2019. China's rural population is large, and urban-rural and regional differences are also large. Due to the current data and information limitations and the characteristics of China's national conditions, there are very few related studies on China's overall rural population.
Fine-scale population distribution data at the fine scale play an essential role in numerous fields, for example urban planning and management, and disaster assessment and developing population differentiation policies. The rapid technological development of remote sensing (RS) and geographical information system (GIS) in recent decades has benefited many fine resolution population spatialization studies. However, most of the existing population spatialization methods have been studied at the regional or urban scale, and few studies have been conducted on the unit population in rural areas. In view of the fact that existing demographic data cannot meet the actual needs of analysis, management and scientific research in terms of spatial precision, a new population distribution estimation method combining nighttime lighting and residential building attributes is proposed in our study. In view of this, studying the spatial distribution of the population in rural areas is used as the purpose of this article. Based on the night light data, natural city boundaries are determined. A rural area delineation method based on Head-to-Tail segmentation classification combined with administrative village verification is proposed, which provides a feasible method for large-scale automatic extraction of rural area boundaries. Coupled with POI (Points of Interest) data, based on elevation, slope, night light images, and land cover, the population spatialization model of the random forest is developed and improved based on the weight of the house properties and light intensity. Finally, a high-precision population distribution dataset is obtained, which is closer to the actual population distribution. The research results show that based on the proposed population spatialization model, street demographic values can be fitted better, and the basis for more accurate population estimation is laid. It provides a reference for data fusion and is of great significance for rural area development planning.
How to cite: Dong, C.: Research on Improvement of Rural area Population Spatial Distribution Model Based on Random Forests, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13129, https://doi.org/10.5194/egusphere-egu2020-13129, 2020.
Since the founding of New China, especially since the reform and opening up, China has experienced the fastest economic development and the most profound population migration in history. The large-scale migration of China's rural population and labor force is particularly evident. China's rural population accounts for 40.42% in 2019. China's rural population is large, and urban-rural and regional differences are also large. Due to the current data and information limitations and the characteristics of China's national conditions, there are very few related studies on China's overall rural population.
Fine-scale population distribution data at the fine scale play an essential role in numerous fields, for example urban planning and management, and disaster assessment and developing population differentiation policies. The rapid technological development of remote sensing (RS) and geographical information system (GIS) in recent decades has benefited many fine resolution population spatialization studies. However, most of the existing population spatialization methods have been studied at the regional or urban scale, and few studies have been conducted on the unit population in rural areas. In view of the fact that existing demographic data cannot meet the actual needs of analysis, management and scientific research in terms of spatial precision, a new population distribution estimation method combining nighttime lighting and residential building attributes is proposed in our study. In view of this, studying the spatial distribution of the population in rural areas is used as the purpose of this article. Based on the night light data, natural city boundaries are determined. A rural area delineation method based on Head-to-Tail segmentation classification combined with administrative village verification is proposed, which provides a feasible method for large-scale automatic extraction of rural area boundaries. Coupled with POI (Points of Interest) data, based on elevation, slope, night light images, and land cover, the population spatialization model of the random forest is developed and improved based on the weight of the house properties and light intensity. Finally, a high-precision population distribution dataset is obtained, which is closer to the actual population distribution. The research results show that based on the proposed population spatialization model, street demographic values can be fitted better, and the basis for more accurate population estimation is laid. It provides a reference for data fusion and is of great significance for rural area development planning.
How to cite: Dong, C.: Research on Improvement of Rural area Population Spatial Distribution Model Based on Random Forests, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13129, https://doi.org/10.5194/egusphere-egu2020-13129, 2020.
EGU2020-22557 | Displays | BG1.6
A case study aiming to promote cities resilience based on urban critical zone management as a wholeMarion Diaz, Zahra Thomas, Alain Prenveille, and Nicolas Floch
Adaptation to global changes and promotion of cities resilience requires the development of integrated approaches to take into account the urban critical area as a whole. The major challenge is to assess this integrated approach evolving the main actors taking part on critical zone management. One way to do so might be the development of a network of actors and scientists committed to the long-term evolution of practices and having a common strategy for territories use. The poster presents a case study aiming to implement an integrated water management strategy in urban development based on the organization of a network of territory actors and scientists. The methodology here presented was built to focus on three main questions: what specific problems does integrated water management reveal for the various stakeholders? What are their usual opportunities of exchange and information? And which organization allows them to solve their problems, while taking into account the pre-existing networks on water management?. To answer these questions, we conducted comprehensive interviews with water and development stakeholders and representatives of networking organization.
Our results highlights the need of collaborative development of urban projects between planners and water managers: each of them is confronted with a diversity of concerns related to several factors, such as
- their position as a stakeholder in the intentional management of water or in the effective management of water;
- the scope of responsibilities of local communities in the management of wastewater, stormwater, drinking water, biodiversity ;
- the specific regional characteristics (coastal territories, morphologies of urban area).
Moreover, the results show that the existing networks address partially some of the questions: the study highlights in particular the lack of dialogue and knowledge transfer between water management actors and urban development actors, resulting in the design of urban projects that are not adapted to the new standards of urban management (e.g. stormwater). In addition, research projects are emerging in relation to big cities issues, but are sometimes in competition with each other. Also, the dissemination of results remains reserved for cities already endowed with significant engineering capacities.
Improvements in the networking is required to promote integrated urban water management, we come up with three organizational scenarios including objective analysis of existing networks of the main actors. The implementation of an integrated approach to hydrological systems linked to energy efficiency in urban areas requires taking into account the critical zone as a whole.
How to cite: Diaz, M., Thomas, Z., Prenveille, A., and Floch, N.: A case study aiming to promote cities resilience based on urban critical zone management as a whole, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22557, https://doi.org/10.5194/egusphere-egu2020-22557, 2020.
Adaptation to global changes and promotion of cities resilience requires the development of integrated approaches to take into account the urban critical area as a whole. The major challenge is to assess this integrated approach evolving the main actors taking part on critical zone management. One way to do so might be the development of a network of actors and scientists committed to the long-term evolution of practices and having a common strategy for territories use. The poster presents a case study aiming to implement an integrated water management strategy in urban development based on the organization of a network of territory actors and scientists. The methodology here presented was built to focus on three main questions: what specific problems does integrated water management reveal for the various stakeholders? What are their usual opportunities of exchange and information? And which organization allows them to solve their problems, while taking into account the pre-existing networks on water management?. To answer these questions, we conducted comprehensive interviews with water and development stakeholders and representatives of networking organization.
Our results highlights the need of collaborative development of urban projects between planners and water managers: each of them is confronted with a diversity of concerns related to several factors, such as
- their position as a stakeholder in the intentional management of water or in the effective management of water;
- the scope of responsibilities of local communities in the management of wastewater, stormwater, drinking water, biodiversity ;
- the specific regional characteristics (coastal territories, morphologies of urban area).
Moreover, the results show that the existing networks address partially some of the questions: the study highlights in particular the lack of dialogue and knowledge transfer between water management actors and urban development actors, resulting in the design of urban projects that are not adapted to the new standards of urban management (e.g. stormwater). In addition, research projects are emerging in relation to big cities issues, but are sometimes in competition with each other. Also, the dissemination of results remains reserved for cities already endowed with significant engineering capacities.
Improvements in the networking is required to promote integrated urban water management, we come up with three organizational scenarios including objective analysis of existing networks of the main actors. The implementation of an integrated approach to hydrological systems linked to energy efficiency in urban areas requires taking into account the critical zone as a whole.
How to cite: Diaz, M., Thomas, Z., Prenveille, A., and Floch, N.: A case study aiming to promote cities resilience based on urban critical zone management as a whole, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22557, https://doi.org/10.5194/egusphere-egu2020-22557, 2020.
EGU2020-12929 | Displays | BG1.6
Analysis of the level of urban residential land based on land cover/land usekang fengguang
The level of urban residential land has a great relationship with the composition of urban residential land and the urban residential area of human settlements. Urban residential land includes residential land, road land, ancillary facilities and public green land. Geographical information monitoring land cover/land use includes cultivated land, garden land, forest land, grassland, housing construction area, roads, structures, artificial digging land, desert and bare land, and water. The Land cover/land use data and resident population spatialization data based on maps of housing construction areas are this article’s data sources. This article chose urban residential land types and per capita residential land area as an evaluation index system, establish the relationship between residential land indicators and geographical information monitoring indicators, calculate the area of various residential land areas and per capita land area, and follow the "Urban Residential Area Planning and Design Standards", a statistical analysis of the land use of residents in the five-, ten-, and fifteen-minute living quarters. Select a test area from each of the megacities, megacities, large cities, medium cities, and small cities, and use the statistical results to determine the level of urban residential land Perform a comparative evaluation.
How to cite: fengguang, K.: Analysis of the level of urban residential land based on land cover/land use, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12929, https://doi.org/10.5194/egusphere-egu2020-12929, 2020.
The level of urban residential land has a great relationship with the composition of urban residential land and the urban residential area of human settlements. Urban residential land includes residential land, road land, ancillary facilities and public green land. Geographical information monitoring land cover/land use includes cultivated land, garden land, forest land, grassland, housing construction area, roads, structures, artificial digging land, desert and bare land, and water. The Land cover/land use data and resident population spatialization data based on maps of housing construction areas are this article’s data sources. This article chose urban residential land types and per capita residential land area as an evaluation index system, establish the relationship between residential land indicators and geographical information monitoring indicators, calculate the area of various residential land areas and per capita land area, and follow the "Urban Residential Area Planning and Design Standards", a statistical analysis of the land use of residents in the five-, ten-, and fifteen-minute living quarters. Select a test area from each of the megacities, megacities, large cities, medium cities, and small cities, and use the statistical results to determine the level of urban residential land Perform a comparative evaluation.
How to cite: fengguang, K.: Analysis of the level of urban residential land based on land cover/land use, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12929, https://doi.org/10.5194/egusphere-egu2020-12929, 2020.
EGU2020-19992 | Displays | BG1.6
Study of metallic trace elements in attic dust from two former industrial cities, Salgótarján and Ózd (Hungary)Nelson Salazar, Gorkhmaz Abbaszade, Davaakhuu Tserendorj, Péter Völgyesi, Dóra Zacháry, Katalin Szabó, and Csaba Szabó
Anthropogenic activities such as heavy industries produced, among others, airborne pollutants, which are deposited inside the attic of houses like dust material for decades. Study of attic dust can be an efficient media to better understand long-term airborne dust contamination and distribution in urban areas. Ózd (OZD) and Salgótarján (STN) are two former industrial cities in the northeastern part of Hungary and separated by 40 km. Both cities have exposed contaminants for different time periods and sources such as coal mining, local coal fired power plant, iron/steelworks and glass factories, transportation, etc.
For this study, 40 attic dust samples from STN and 49 attic dust samples from OZD were collected in houses with attics intact for at least 30 years containing long-term industrial pollution. The concentrations of 13 metals (Ti, V, Cr, Mn, Fe, Co, Ni Cu, Zn, Ag, Sn, Mo and W) were analyzed with ICP-MS. Most of these elements are considered potentially toxic elements related to industrial activities. The main aim of the present study was to compare the concentrations, enrichment factors (EFs) in both cities. EF of each metal was calculated with the formula: EF = [M/Fe]sample/[M/Fe] background, where (M) metals concentration and Fe was used for normalization, following the suggestion in the literature [1] for industrialized cities. However, geochemical background values for both cities were taken from STN brown-forest soil.
The median concentration (mg kg-1) of the studied metals for the 40 attic dust samples for STN= Fe(23000), Zn(631), Mn(422), Ti(385), Cu(67.7), Cr(26.9), V(42.0), Ni(29.7), Sn(8.70), Co(7.60), Mo(5.24), W(3.26), and Ag(0.030). Likewise, median concentration (mg kg-1) for the 49 attic dust samples for OZD= Fe(48000), Zn(1338), Mn(1249), Ti(230), Cu(104), Cr(55.9), V(42.0), Ni(28.0), Sn(16.2), Co(7.20), Mo(4.68), W(3.64), Ag(0.116).
The values of median enrichment factor (EF) revealed the following order: STN=(Ti>W>Sn>Cu>Zn>Mo>Ag>Cr>V>Ni>Mn>Co) and OZD=(W>Ti>Sn>Ag>Zn>Cu>Cr>Mo>V>Mn>Ni>Co). The results for both cities are Ti, W, Sn, Cu, Ag, Zn with enrichment factor (EF)>5, which represent significant or very significant enrichment; Ni, Mn, Co show values of (EF)<2 indicating no enrichment- to minimal enrichment, and Cr has 2<(EF)<5 = moderate enrichment. Note that V shows moderate enrichment in STN samples and minimal enrichment in OZD samples. Molybdenum shows significant in STN samples and moderate enrichment in OZD samples.
The differences between OZD and STN attic dusts show the complexity of two scenarios where concentrations in OZD attic dusts are 1.5 – 4 times higher than STN ones and significant enrichment for Sn, Ag, Zn, Cu, Cr due to probably more intense steelwork activities.
Keyword: Attic dust, enrichment factor, Salgótarján, Ózd.
Reference:
[1] Luo, X. S., Xue, Y., Wang, Y. L., Cang, L., Xu, B., & Ding, J. (2015). Source identification and apportionment of heavy metals in urban soil profiles. Chemosphere, 127, 152–157. https://doi.org/10.1016/j.chemosphere.2015.01.048
How to cite: Salazar, N., Abbaszade, G., Tserendorj, D., Völgyesi, P., Zacháry, D., Szabó, K., and Szabó, C.: Study of metallic trace elements in attic dust from two former industrial cities, Salgótarján and Ózd (Hungary), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19992, https://doi.org/10.5194/egusphere-egu2020-19992, 2020.
Anthropogenic activities such as heavy industries produced, among others, airborne pollutants, which are deposited inside the attic of houses like dust material for decades. Study of attic dust can be an efficient media to better understand long-term airborne dust contamination and distribution in urban areas. Ózd (OZD) and Salgótarján (STN) are two former industrial cities in the northeastern part of Hungary and separated by 40 km. Both cities have exposed contaminants for different time periods and sources such as coal mining, local coal fired power plant, iron/steelworks and glass factories, transportation, etc.
For this study, 40 attic dust samples from STN and 49 attic dust samples from OZD were collected in houses with attics intact for at least 30 years containing long-term industrial pollution. The concentrations of 13 metals (Ti, V, Cr, Mn, Fe, Co, Ni Cu, Zn, Ag, Sn, Mo and W) were analyzed with ICP-MS. Most of these elements are considered potentially toxic elements related to industrial activities. The main aim of the present study was to compare the concentrations, enrichment factors (EFs) in both cities. EF of each metal was calculated with the formula: EF = [M/Fe]sample/[M/Fe] background, where (M) metals concentration and Fe was used for normalization, following the suggestion in the literature [1] for industrialized cities. However, geochemical background values for both cities were taken from STN brown-forest soil.
The median concentration (mg kg-1) of the studied metals for the 40 attic dust samples for STN= Fe(23000), Zn(631), Mn(422), Ti(385), Cu(67.7), Cr(26.9), V(42.0), Ni(29.7), Sn(8.70), Co(7.60), Mo(5.24), W(3.26), and Ag(0.030). Likewise, median concentration (mg kg-1) for the 49 attic dust samples for OZD= Fe(48000), Zn(1338), Mn(1249), Ti(230), Cu(104), Cr(55.9), V(42.0), Ni(28.0), Sn(16.2), Co(7.20), Mo(4.68), W(3.64), Ag(0.116).
The values of median enrichment factor (EF) revealed the following order: STN=(Ti>W>Sn>Cu>Zn>Mo>Ag>Cr>V>Ni>Mn>Co) and OZD=(W>Ti>Sn>Ag>Zn>Cu>Cr>Mo>V>Mn>Ni>Co). The results for both cities are Ti, W, Sn, Cu, Ag, Zn with enrichment factor (EF)>5, which represent significant or very significant enrichment; Ni, Mn, Co show values of (EF)<2 indicating no enrichment- to minimal enrichment, and Cr has 2<(EF)<5 = moderate enrichment. Note that V shows moderate enrichment in STN samples and minimal enrichment in OZD samples. Molybdenum shows significant in STN samples and moderate enrichment in OZD samples.
The differences between OZD and STN attic dusts show the complexity of two scenarios where concentrations in OZD attic dusts are 1.5 – 4 times higher than STN ones and significant enrichment for Sn, Ag, Zn, Cu, Cr due to probably more intense steelwork activities.
Keyword: Attic dust, enrichment factor, Salgótarján, Ózd.
Reference:
[1] Luo, X. S., Xue, Y., Wang, Y. L., Cang, L., Xu, B., & Ding, J. (2015). Source identification and apportionment of heavy metals in urban soil profiles. Chemosphere, 127, 152–157. https://doi.org/10.1016/j.chemosphere.2015.01.048
How to cite: Salazar, N., Abbaszade, G., Tserendorj, D., Völgyesi, P., Zacháry, D., Szabó, K., and Szabó, C.: Study of metallic trace elements in attic dust from two former industrial cities, Salgótarján and Ózd (Hungary), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19992, https://doi.org/10.5194/egusphere-egu2020-19992, 2020.
EGU2020-17524 | Displays | BG1.6
Nitrate transfer in the Critical zone view through N & O isotopes of NO3 and CFC-SF6 groundwater residence time assessmentEmmanuelle Petelet-Giraud, Nicole Baran, Virginie Vergnaud, Flora Lucassou, and Jean-Michel Schroetter
Drinking water quality in agricultural rural areas remains locally a challenge even all the effort made by local authorities to restore the groundwater resources quality, especially regarding nitrates. In Plourhan, a ~2000 inhabitants, about 10 km from the sea, NW France, the drinking water is pumped in a natural spring emerging from the Brioverian basement. The nitrate concentrations exceed the 50 mg/L standard for drinking water supply, and thus needs to be diluted to be delivered to the population. Over the last 15 years, a large programme of measures was undertaken in order to reduce the NO3 concentration, including the purchase of agricultural parcels around the spring, moving progressively from mixed farming and livestock to fallows and meadows, and thus drastically change the local land use. Despite all these efforts, nitrate concentrations only decrease very slowly and remain above the 50 mg/L standard.
In this context, the objective of this study is to better understand the transfer of nitrates at the basin scale, by studying flow paths, geochemical reactions, transit times that are key parameters to estimate the vulnerability and the recovery-time of the critical zone. In that way, a geochemical and isotopic approach is applied at the basin scale. Major elements analysis of the groundwater reflect the drained contrasted lithologies as metasediments (pelites & sandstones) and amphibolite, with a large spatial heterogeneity of the NO3 concentrations, ranging from a few mg/L to more than 50 mg/L. Nitrogen and oxygen isotopes of nitrates (δ15N-NO3 and δ18O-NO3) suggest that denitrification can occur locally in some wells presenting low or intermediate NO3 contents, whereas other wells present high or low NO3 concentrations without any evidence of denitrification processes. The mean residence time of groundwater is assessed through CFCs and SF6 dissolved gas measurements. Some wells preferentially in amphibolite, present water with low recharge temperature (around 6°C while the mean recharge temperature in Britany is 11-12°C) correlated with low CFCs/SF6 values indicating that some very old groundwater (last glaciation : -19/17 k yrs) exists in the reservoir. Other ones in metasediments have modern water or a mixing between an old and a present day recharge. These results, together with structural and lithological detailed geological field mapping, help to draw up the conceptual model of the aquifer functioning regarding nitrates transfer in the critical zone.
This work is part of the POLDIFF study that benefits from the funding of BRGM and the French Loire-Bretagne water Agency.
How to cite: Petelet-Giraud, E., Baran, N., Vergnaud, V., Lucassou, F., and Schroetter, J.-M.: Nitrate transfer in the Critical zone view through N & O isotopes of NO3 and CFC-SF6 groundwater residence time assessment, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-17524, https://doi.org/10.5194/egusphere-egu2020-17524, 2020.
Drinking water quality in agricultural rural areas remains locally a challenge even all the effort made by local authorities to restore the groundwater resources quality, especially regarding nitrates. In Plourhan, a ~2000 inhabitants, about 10 km from the sea, NW France, the drinking water is pumped in a natural spring emerging from the Brioverian basement. The nitrate concentrations exceed the 50 mg/L standard for drinking water supply, and thus needs to be diluted to be delivered to the population. Over the last 15 years, a large programme of measures was undertaken in order to reduce the NO3 concentration, including the purchase of agricultural parcels around the spring, moving progressively from mixed farming and livestock to fallows and meadows, and thus drastically change the local land use. Despite all these efforts, nitrate concentrations only decrease very slowly and remain above the 50 mg/L standard.
In this context, the objective of this study is to better understand the transfer of nitrates at the basin scale, by studying flow paths, geochemical reactions, transit times that are key parameters to estimate the vulnerability and the recovery-time of the critical zone. In that way, a geochemical and isotopic approach is applied at the basin scale. Major elements analysis of the groundwater reflect the drained contrasted lithologies as metasediments (pelites & sandstones) and amphibolite, with a large spatial heterogeneity of the NO3 concentrations, ranging from a few mg/L to more than 50 mg/L. Nitrogen and oxygen isotopes of nitrates (δ15N-NO3 and δ18O-NO3) suggest that denitrification can occur locally in some wells presenting low or intermediate NO3 contents, whereas other wells present high or low NO3 concentrations without any evidence of denitrification processes. The mean residence time of groundwater is assessed through CFCs and SF6 dissolved gas measurements. Some wells preferentially in amphibolite, present water with low recharge temperature (around 6°C while the mean recharge temperature in Britany is 11-12°C) correlated with low CFCs/SF6 values indicating that some very old groundwater (last glaciation : -19/17 k yrs) exists in the reservoir. Other ones in metasediments have modern water or a mixing between an old and a present day recharge. These results, together with structural and lithological detailed geological field mapping, help to draw up the conceptual model of the aquifer functioning regarding nitrates transfer in the critical zone.
This work is part of the POLDIFF study that benefits from the funding of BRGM and the French Loire-Bretagne water Agency.
How to cite: Petelet-Giraud, E., Baran, N., Vergnaud, V., Lucassou, F., and Schroetter, J.-M.: Nitrate transfer in the Critical zone view through N & O isotopes of NO3 and CFC-SF6 groundwater residence time assessment, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-17524, https://doi.org/10.5194/egusphere-egu2020-17524, 2020.
EGU2020-21141 | Displays | BG1.6
Microbial role in N2O-NO2 production and CH4 oxidation under active hypogenic settingsTamara Martin-Pozas, Soledad Cuezva, Valme Jurado, Raul Perez-Lopez, Cesareo Saiz-Jimenez, Jose Maria Calaforra, Sergio Sanchez-Moral, and Angel Fernandez-Cortes
The hydrothermal caves linked to active faulting have subterranean atmospheres with a distinctive gaseous composition containing deep endogenous gases, such as carbon dioxide, methane and nitrogen oxides (NOx). Ascending fluids through associated near-surface hydrothermal processes can mobilize endogenous gases into the Critical Zone and, ultimately, to the lower troposphere.
Nitrogen oxides are polluting gases and can have adverse effects on human health, especially inhaled NO2. They also catalyse ozone (O3) production in the lower layers of the atmosphere and the greenhouse effect, when they react with volatile organic compounds. The largest source of NOx emissions is anthropogenic. The rest is produced naturally by microbial processes in soil and water, by lightning, volcanic activity, storms, etc. Production of N2O and NO2 is associated with soil and other active-geothermal ecosystems, far less is known about the sources and sinks of these gases within subterranean locations. Here, we report high N2O and NO2 concentrations detected along a hypogenic system associated with an active faulting (Vapour Cave, southern Spain), which enables direct gas exchange with the low-atmosphere. These anomalous concentrations of N2O and, NO2 are about ten and five times higher than the typical atmospheric background, respectively.
Gaseous composition analyses of subterranean atmosphere were conducted by high precision field-deployable CRDS and FTIR spectrometers for measuring in situ the target tracer gases (NO2, N2O, CH4, CO2) and δ13C of both carbon-GHGs. DNA extraction, sequencing and phylogenetic analyses were conducted to characterize the microbial community of cave sediments. The results showed that N2O and NO2 emission depends on the activity of nitrification by ammonia oxidizing microorganisms (such as members of the family Nitrosomonadaceae and phylum Thaumarchaeota) and/or as a result of incomplete denitrification by heterotrophic denitrifying bacteria (such as Bacillus, Acinetobacter and Cupriavidus) from this hydrothermal and hypoxic ecosystem.
On the other hand, CH4 concentrations and δ13CH4 vary along the cave (with the deep), in deepest cave locations CH4 values are higher with lighter δ13C values in comparison with the more superficial areas, which indicates a deep endogenous origin of methane. However, in areas near the entrance we observe lower concentrations of methane and heavier δ13C values (CH4<1 ppm and δ13C close to −30‰), as a result of methane oxidation by denitrifying methanotrophs of the NC10 phylum during gas migration from the deepest areas to the surface.
These new findings reveal the sourcing of these nitrogenous gases into the upper vadose zone of a hypogenic/geothermal ecosystem, and its potential release to the lower troposphere. A better understanding of biogeochemical processes controlling the production of nitrogenous gases in subterranean environments will be useful to identify and characterize new possible
sources, reservoirs and sinks of greenhouse gases (CO2, CH4, N2O and NOx) in order to calculate more accurately the budgets and for the design of new mitigation strategies of these gases.
How to cite: Martin-Pozas, T., Cuezva, S., Jurado, V., Perez-Lopez, R., Saiz-Jimenez, C., Calaforra, J. M., Sanchez-Moral, S., and Fernandez-Cortes, A.: Microbial role in N2O-NO2 production and CH4 oxidation under active hypogenic settings, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21141, https://doi.org/10.5194/egusphere-egu2020-21141, 2020.
The hydrothermal caves linked to active faulting have subterranean atmospheres with a distinctive gaseous composition containing deep endogenous gases, such as carbon dioxide, methane and nitrogen oxides (NOx). Ascending fluids through associated near-surface hydrothermal processes can mobilize endogenous gases into the Critical Zone and, ultimately, to the lower troposphere.
Nitrogen oxides are polluting gases and can have adverse effects on human health, especially inhaled NO2. They also catalyse ozone (O3) production in the lower layers of the atmosphere and the greenhouse effect, when they react with volatile organic compounds. The largest source of NOx emissions is anthropogenic. The rest is produced naturally by microbial processes in soil and water, by lightning, volcanic activity, storms, etc. Production of N2O and NO2 is associated with soil and other active-geothermal ecosystems, far less is known about the sources and sinks of these gases within subterranean locations. Here, we report high N2O and NO2 concentrations detected along a hypogenic system associated with an active faulting (Vapour Cave, southern Spain), which enables direct gas exchange with the low-atmosphere. These anomalous concentrations of N2O and, NO2 are about ten and five times higher than the typical atmospheric background, respectively.
Gaseous composition analyses of subterranean atmosphere were conducted by high precision field-deployable CRDS and FTIR spectrometers for measuring in situ the target tracer gases (NO2, N2O, CH4, CO2) and δ13C of both carbon-GHGs. DNA extraction, sequencing and phylogenetic analyses were conducted to characterize the microbial community of cave sediments. The results showed that N2O and NO2 emission depends on the activity of nitrification by ammonia oxidizing microorganisms (such as members of the family Nitrosomonadaceae and phylum Thaumarchaeota) and/or as a result of incomplete denitrification by heterotrophic denitrifying bacteria (such as Bacillus, Acinetobacter and Cupriavidus) from this hydrothermal and hypoxic ecosystem.
On the other hand, CH4 concentrations and δ13CH4 vary along the cave (with the deep), in deepest cave locations CH4 values are higher with lighter δ13C values in comparison with the more superficial areas, which indicates a deep endogenous origin of methane. However, in areas near the entrance we observe lower concentrations of methane and heavier δ13C values (CH4<1 ppm and δ13C close to −30‰), as a result of methane oxidation by denitrifying methanotrophs of the NC10 phylum during gas migration from the deepest areas to the surface.
These new findings reveal the sourcing of these nitrogenous gases into the upper vadose zone of a hypogenic/geothermal ecosystem, and its potential release to the lower troposphere. A better understanding of biogeochemical processes controlling the production of nitrogenous gases in subterranean environments will be useful to identify and characterize new possible
sources, reservoirs and sinks of greenhouse gases (CO2, CH4, N2O and NOx) in order to calculate more accurately the budgets and for the design of new mitigation strategies of these gases.
How to cite: Martin-Pozas, T., Cuezva, S., Jurado, V., Perez-Lopez, R., Saiz-Jimenez, C., Calaforra, J. M., Sanchez-Moral, S., and Fernandez-Cortes, A.: Microbial role in N2O-NO2 production and CH4 oxidation under active hypogenic settings, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21141, https://doi.org/10.5194/egusphere-egu2020-21141, 2020.
EGU2020-21794 | Displays | BG1.6
Estimating the Vegetation phenology Time of recovery after a critical perturbation from Landsat time series within the frame of a Bayesian Harmonic modelsaverio vicario, Maria adamo, Cristina tarantino, and palma blonda
In Murgia Alta National Park the repeated fire perturb the stability of the environment and it s capacity to be a carbon sink. Thanks to the Landsat archive we can observed change in phenology t over the two decade (2000-2019). Unfortunately the phenological signal extracted from Landsat time series bear several uncertainties caused by missing data and error in atmospheric correction that makes difficult to reconstruct the trajectory of each pixel. Applying a Bayesian Harmonic model we can obtain not only expected values for the vegetation index time series but also confidence interval both for vegetation index and derived statistics. We took the phenological statistical framework of the Ecological Functional Attributes (EFA) to obtain annual statics and evaluate the time of recovery to obtain EFA with no statistical difference from the pre-perturbation time.
The results highlighted that only of subset of burned forest recover EFA values after 10 years of critical events. In particular the values of intra year variability tend to be higher due to the different trajectory of young shoots. The burned grassland time of recovery is much shorter given that the vast majority of pixel recover pre-event EFA in less than 4 year.
How to cite: vicario, S., adamo, M., tarantino, C., and blonda, P.: Estimating the Vegetation phenology Time of recovery after a critical perturbation from Landsat time series within the frame of a Bayesian Harmonic model, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21794, https://doi.org/10.5194/egusphere-egu2020-21794, 2020.
In Murgia Alta National Park the repeated fire perturb the stability of the environment and it s capacity to be a carbon sink. Thanks to the Landsat archive we can observed change in phenology t over the two decade (2000-2019). Unfortunately the phenological signal extracted from Landsat time series bear several uncertainties caused by missing data and error in atmospheric correction that makes difficult to reconstruct the trajectory of each pixel. Applying a Bayesian Harmonic model we can obtain not only expected values for the vegetation index time series but also confidence interval both for vegetation index and derived statistics. We took the phenological statistical framework of the Ecological Functional Attributes (EFA) to obtain annual statics and evaluate the time of recovery to obtain EFA with no statistical difference from the pre-perturbation time.
The results highlighted that only of subset of burned forest recover EFA values after 10 years of critical events. In particular the values of intra year variability tend to be higher due to the different trajectory of young shoots. The burned grassland time of recovery is much shorter given that the vast majority of pixel recover pre-event EFA in less than 4 year.
How to cite: vicario, S., adamo, M., tarantino, C., and blonda, P.: Estimating the Vegetation phenology Time of recovery after a critical perturbation from Landsat time series within the frame of a Bayesian Harmonic model, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21794, https://doi.org/10.5194/egusphere-egu2020-21794, 2020.
EGU2020-1286 | Displays | BG1.6
Assessing the Impact of ~65 years of Land Use and Land Cover Change on the Utah Lake Watershed with Remote Sensing and Spatial ModelingWeihong Wang
Utah Lake is one of the largest natural freshwater lakes in the western United States. Its watershed is 9,800 km2. Utah Lake is located in Utah County which is expected to have the highest population growth in the state through 2060. Land use and water regulation has shifted the Utah Lake shoreline since the 1900s. Monitoring the land use and land cover change (LULCC) in the watershed is critical to understanding surrounding hydrology and future sustainability. In this study, we compared the Utah Lake shoreline change from 1953-2014 and classified the land cover in the Utah Lake watershed from 1985-2018. Our results show that there was a 41.45 km2 decrease in lake surface from 1953 to 2014. The shoreline around the Provo Bay and Goshen Bay has receded lake-ward considerably in 2014 compared to the 1953 shoreline, and the lost water and wetland area was equivalent to 3,851 football fields in size. Land cover change calculations indicate that from 1985 to 2018 urbanization increased by 6%, forest by 2%, and barren by 3%, whereas water and agriculture decreased by 1% and 6%, respectively. The findings from this project could be used by Utah’s legislature to implement meaningful watershed planning and management, especially in light of the state considering House Bill 272 that promotes “comprehensive restoration of Utah Lake by building an island on it.” The bill proposes an island in Utah Lake which could dramatically alter LULCC around the lake. In addition, any significant LULCC on and around the lake will modify the lake water budget, its ecosystem, and have profound consequences on Utah Lake watershed and the surrounding regions.
How to cite: Wang, W.: Assessing the Impact of ~65 years of Land Use and Land Cover Change on the Utah Lake Watershed with Remote Sensing and Spatial Modeling, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1286, https://doi.org/10.5194/egusphere-egu2020-1286, 2020.
Utah Lake is one of the largest natural freshwater lakes in the western United States. Its watershed is 9,800 km2. Utah Lake is located in Utah County which is expected to have the highest population growth in the state through 2060. Land use and water regulation has shifted the Utah Lake shoreline since the 1900s. Monitoring the land use and land cover change (LULCC) in the watershed is critical to understanding surrounding hydrology and future sustainability. In this study, we compared the Utah Lake shoreline change from 1953-2014 and classified the land cover in the Utah Lake watershed from 1985-2018. Our results show that there was a 41.45 km2 decrease in lake surface from 1953 to 2014. The shoreline around the Provo Bay and Goshen Bay has receded lake-ward considerably in 2014 compared to the 1953 shoreline, and the lost water and wetland area was equivalent to 3,851 football fields in size. Land cover change calculations indicate that from 1985 to 2018 urbanization increased by 6%, forest by 2%, and barren by 3%, whereas water and agriculture decreased by 1% and 6%, respectively. The findings from this project could be used by Utah’s legislature to implement meaningful watershed planning and management, especially in light of the state considering House Bill 272 that promotes “comprehensive restoration of Utah Lake by building an island on it.” The bill proposes an island in Utah Lake which could dramatically alter LULCC around the lake. In addition, any significant LULCC on and around the lake will modify the lake water budget, its ecosystem, and have profound consequences on Utah Lake watershed and the surrounding regions.
How to cite: Wang, W.: Assessing the Impact of ~65 years of Land Use and Land Cover Change on the Utah Lake Watershed with Remote Sensing and Spatial Modeling, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1286, https://doi.org/10.5194/egusphere-egu2020-1286, 2020.
EGU2020-22447 | Displays | BG1.6
Significance and driving forces of dark CO2 fixation for organic carbon inputs in temperate forest soilsRachael Akinyede, Martin Taubert, Marion Schrumpf, Susan Trumbore, and Kirsten Küsel
Soils are the largest terrestrial organic carbon pool and one of the largest terrestrial sources of CO2 in the atmosphere. However, not all CO2 produced in soils is released into the atmosphere, as dark CO2 fixation has been shown to modulate CO2 release from soils. Temperate forest soils store up to half of the soil organic carbon pool to 1m depth and are recognized as important components of the global carbon cycle, yet studies on dark CO2 fixation in temperate forest soils are scarce. Using a well characterized Cambisol soil plot in the Hainich National Park (temperate forest), Germany, we explore dark CO2 fixation with the aim to assess the CO2 fixation rates, the influencing biogeochemical parameters, and the contribution of this process to temperate forest soil organic carbon (SOC).
Dark CO2 fixation was quantified via the uptake of 13C-CO2 added to microcosms containing soils sampled from three depths. Under 2% CO2 headspace, rates of dark CO2 fixation at soil level decreased with depth from 0.86 µg C gdw-1d-1 in 0 - 12 cm to 0.05 µg C gdw-1d-1 in 70 -100 cm, accounting for up to 1.1% of microbial biomass and up to 0.035% of soil organic carbon. However, as differences in microbial biomass abundance and community profiles with depth were found, no significant difference in the rates across depth was observed at microbial level. This suggests that microbial biomass is an important driver of dark CO2 fixation in soils. Given a global temperate forest area of 6.9 million km2 and an average soil bulk density of 1 Mg/m3 dark CO2 fixation will potentially account for the gross sequestration of 0.31 - 0.48 GtC/yr to a depth of 1 m. Furthermore, an increase in headspace CO2 concentration enhanced CO2 fixation rates by up to 3.4-fold under 20% v:v CO2 showing that dark CO2 fixation can be substantial in soils with higher CO2 concentrations.
To validate microbial biomass as a driver of dark CO2 fixation in soils, we made comparisons with soil plots from the Schorfheide-Chorin exploratory forest, Germany, a temperate forest characterized by vegetation-specific bacterial community structure, higher sand content and acidic pH gradients. Under these conditions, CO2 fixation rates at microbial level were significantly different across depth suggesting that aside microbial biomass, other abiotic factors may influence dark CO2 fixation in these soils. Of all the tested abiotic variables, water content was the main explanatory factor for the variations in dark CO2 fixation rates in the Schorfheide-chorin soils. Additionally, based on 16S rRNA sequencing, qPCR and PICRUSt2 analysis, only a few putative autotrophic communities were present and displayed vegetation-specific variations indicating an influence of vegetation type and input on the active community.
Our findings highlight microbial biomass, CO2 and water content as the main drivers of dark CO2 fixation in temperate forest soils with only a small proportion of autotrophs being present, suggesting the potential mediators of this process. We also demonstrate the significance of this process in global temperate forest SOC inputs.
How to cite: Akinyede, R., Taubert, M., Schrumpf, M., Trumbore, S., and Küsel, K.: Significance and driving forces of dark CO2 fixation for organic carbon inputs in temperate forest soils , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22447, https://doi.org/10.5194/egusphere-egu2020-22447, 2020.
Soils are the largest terrestrial organic carbon pool and one of the largest terrestrial sources of CO2 in the atmosphere. However, not all CO2 produced in soils is released into the atmosphere, as dark CO2 fixation has been shown to modulate CO2 release from soils. Temperate forest soils store up to half of the soil organic carbon pool to 1m depth and are recognized as important components of the global carbon cycle, yet studies on dark CO2 fixation in temperate forest soils are scarce. Using a well characterized Cambisol soil plot in the Hainich National Park (temperate forest), Germany, we explore dark CO2 fixation with the aim to assess the CO2 fixation rates, the influencing biogeochemical parameters, and the contribution of this process to temperate forest soil organic carbon (SOC).
Dark CO2 fixation was quantified via the uptake of 13C-CO2 added to microcosms containing soils sampled from three depths. Under 2% CO2 headspace, rates of dark CO2 fixation at soil level decreased with depth from 0.86 µg C gdw-1d-1 in 0 - 12 cm to 0.05 µg C gdw-1d-1 in 70 -100 cm, accounting for up to 1.1% of microbial biomass and up to 0.035% of soil organic carbon. However, as differences in microbial biomass abundance and community profiles with depth were found, no significant difference in the rates across depth was observed at microbial level. This suggests that microbial biomass is an important driver of dark CO2 fixation in soils. Given a global temperate forest area of 6.9 million km2 and an average soil bulk density of 1 Mg/m3 dark CO2 fixation will potentially account for the gross sequestration of 0.31 - 0.48 GtC/yr to a depth of 1 m. Furthermore, an increase in headspace CO2 concentration enhanced CO2 fixation rates by up to 3.4-fold under 20% v:v CO2 showing that dark CO2 fixation can be substantial in soils with higher CO2 concentrations.
To validate microbial biomass as a driver of dark CO2 fixation in soils, we made comparisons with soil plots from the Schorfheide-Chorin exploratory forest, Germany, a temperate forest characterized by vegetation-specific bacterial community structure, higher sand content and acidic pH gradients. Under these conditions, CO2 fixation rates at microbial level were significantly different across depth suggesting that aside microbial biomass, other abiotic factors may influence dark CO2 fixation in these soils. Of all the tested abiotic variables, water content was the main explanatory factor for the variations in dark CO2 fixation rates in the Schorfheide-chorin soils. Additionally, based on 16S rRNA sequencing, qPCR and PICRUSt2 analysis, only a few putative autotrophic communities were present and displayed vegetation-specific variations indicating an influence of vegetation type and input on the active community.
Our findings highlight microbial biomass, CO2 and water content as the main drivers of dark CO2 fixation in temperate forest soils with only a small proportion of autotrophs being present, suggesting the potential mediators of this process. We also demonstrate the significance of this process in global temperate forest SOC inputs.
How to cite: Akinyede, R., Taubert, M., Schrumpf, M., Trumbore, S., and Küsel, K.: Significance and driving forces of dark CO2 fixation for organic carbon inputs in temperate forest soils , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22447, https://doi.org/10.5194/egusphere-egu2020-22447, 2020.
EGU2020-13716 | Displays | BG1.6
Peatland hydrological behavior with global warmingStefano Ferraris, Davide Canone, Davide Gisolo, Mario Putti, Pietro Teatini, and Maurizio Previati
A peat deposit close to Venice was monitored both in the field and in the lab (1) to investigate the hydrological response of peat soil to changing meteorological conditions in the frame of land subsidence assessment. The whole area is about 3 meters lower than the sea level and therefore subsidence is a major issue. Predictions highlighted the risk of an almost complete disappearance of the peat layer in this area during the next 50 years, due to the increased frequency of warmer periods. Unfortunately, despite the considerable impacts that are expected to affect peatland worldwide, only a few measured datasets are currently available to assess the response of a peat deposit to enhanced drying due to global warming.
The lab measurements were performed both at the pedon and at the core scale. An undisturbed peat monolith of approximately 0.7 m3 was collected, transferred to the lab, and instrumented to monitor matric potential, water content, and total weight. This undisturbed peat lysimeter allows to monitor water content variations (both through the weight monitoring and time domain reflectometry sensors), and matric potential, with drier conditions with respect to the field campaign. A complete cycle of wetting and drainage was performed, raising the water table from the bottom to the top of the sample and down again. Additional measurements of matric potential and water content were collected by testing peat cores on a suction table.
A set of water retention curves was experimentally determined. They were derived for a range of matric potential much broader than that experienced in situ . Variations were found, with respect to the field natural conditions, in the relations between the matric potential and the volumetric water content of different horizons as a result of the initial prolonged drying. Also, the hysteresis behaviours in the lab and in the field were different, with much wider loops in the lab conditions because of extended range of potential. Hydraulic non-equilibrium between the water content and water potential could also be a possible cause, but further modelling work is necessary to assess it. The van Genuchten parameters were obtained for both wetting and drying, for modelling purposes.
(1) Previati et al. (2019), Hydrological Processes.
How to cite: Ferraris, S., Canone, D., Gisolo, D., Putti, M., Teatini, P., and Previati, M.: Peatland hydrological behavior with global warming, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13716, https://doi.org/10.5194/egusphere-egu2020-13716, 2020.
A peat deposit close to Venice was monitored both in the field and in the lab (1) to investigate the hydrological response of peat soil to changing meteorological conditions in the frame of land subsidence assessment. The whole area is about 3 meters lower than the sea level and therefore subsidence is a major issue. Predictions highlighted the risk of an almost complete disappearance of the peat layer in this area during the next 50 years, due to the increased frequency of warmer periods. Unfortunately, despite the considerable impacts that are expected to affect peatland worldwide, only a few measured datasets are currently available to assess the response of a peat deposit to enhanced drying due to global warming.
The lab measurements were performed both at the pedon and at the core scale. An undisturbed peat monolith of approximately 0.7 m3 was collected, transferred to the lab, and instrumented to monitor matric potential, water content, and total weight. This undisturbed peat lysimeter allows to monitor water content variations (both through the weight monitoring and time domain reflectometry sensors), and matric potential, with drier conditions with respect to the field campaign. A complete cycle of wetting and drainage was performed, raising the water table from the bottom to the top of the sample and down again. Additional measurements of matric potential and water content were collected by testing peat cores on a suction table.
A set of water retention curves was experimentally determined. They were derived for a range of matric potential much broader than that experienced in situ . Variations were found, with respect to the field natural conditions, in the relations between the matric potential and the volumetric water content of different horizons as a result of the initial prolonged drying. Also, the hysteresis behaviours in the lab and in the field were different, with much wider loops in the lab conditions because of extended range of potential. Hydraulic non-equilibrium between the water content and water potential could also be a possible cause, but further modelling work is necessary to assess it. The van Genuchten parameters were obtained for both wetting and drying, for modelling purposes.
(1) Previati et al. (2019), Hydrological Processes.
How to cite: Ferraris, S., Canone, D., Gisolo, D., Putti, M., Teatini, P., and Previati, M.: Peatland hydrological behavior with global warming, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13716, https://doi.org/10.5194/egusphere-egu2020-13716, 2020.
EGU2020-9146 | Displays | BG1.6
Combining concentration–discharge relationships with mixing modelsGaëlle Tallec, José Manuel Tunqui Neira, Andréassian Vazken, and Jean-Marie Mouchel
Discharge is one of the major factors influencing the evolution of solute concentration in river water. Different modeling approaches exist to characterize the dependency of concentration on discharge: the simplest require calibration, they are based on measurable quantities (stream discharge and stream water concentration) but do not allow for an explicit, physical, flow-path interpretation; the more complex are based on mixing assumptions with different end-member sources, but require knowledge of the (unmeasurable) flow components. Here, we present a combination between the simple concentration–discharge (C-Q) approach with the mass balance (MB) mixing approach, which we apply to a new high-frequency series on the Oracle-Orgeval Observatory (France) (Tunqui et al., submitted). This new methodology shows a better performance than the two approaches applied separately, allowing us to better describe the concentrations measured in the stream.
Reference : Tunqui et al. Combining concentration-discharge relationships with mixing models. Submitted to Journal of Hydrology
How to cite: Tallec, G., Tunqui Neira, J. M., Vazken, A., and Mouchel, J.-M.: Combining concentration–discharge relationships with mixing models , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9146, https://doi.org/10.5194/egusphere-egu2020-9146, 2020.
Discharge is one of the major factors influencing the evolution of solute concentration in river water. Different modeling approaches exist to characterize the dependency of concentration on discharge: the simplest require calibration, they are based on measurable quantities (stream discharge and stream water concentration) but do not allow for an explicit, physical, flow-path interpretation; the more complex are based on mixing assumptions with different end-member sources, but require knowledge of the (unmeasurable) flow components. Here, we present a combination between the simple concentration–discharge (C-Q) approach with the mass balance (MB) mixing approach, which we apply to a new high-frequency series on the Oracle-Orgeval Observatory (France) (Tunqui et al., submitted). This new methodology shows a better performance than the two approaches applied separately, allowing us to better describe the concentrations measured in the stream.
Reference : Tunqui et al. Combining concentration-discharge relationships with mixing models. Submitted to Journal of Hydrology
How to cite: Tallec, G., Tunqui Neira, J. M., Vazken, A., and Mouchel, J.-M.: Combining concentration–discharge relationships with mixing models , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9146, https://doi.org/10.5194/egusphere-egu2020-9146, 2020.
EGU2020-9972 | Displays | BG1.6
Identifying stemflow pathways and infiltration areas for sycamore maple (Acer pseudoplatanus) and European beech (Fagus sylvatica) by passive dye applicationBeate Michalzik, Alexander Tischer, and Robert Lotze
Throughfall and stemflow are critical components of the hydrological and biogeochemical cycles of forested ecosystems, as they are the two hydrological processes responsible for the transfer of precipitation and solutes from vegetative canopies to the soil. Despite stemflow rarely accounts for >10% of the rainfall, its concentration over small areas at the base of trunks seems to affect the magnitude and timing of water inputs to the soil and biogeochemical cycling excessively.
Though substantial amount of literature on throughfall and stemflow research is available, recent reviews on eco-hydrology of forested ecosystems identified several key points of uncertainty where current knowledge is weak. These points especially address the role of canopy structure among tree species (i.e., interspecific variation) as well as within a single tree species (i.e., intraspecific variation as caused e.g. by morphology and age) for explaining the large variations in precipitation partitioning into throughfall and stemflow, the spatial variability of throughfall volume and chemistry as well as the temporal and spatial patterning of stemflow inputs to the ground. The latter two points are particular sources of uncertainty, since most sampling approaches fail to adequately identify the infiltration area of stemflow inputs at the trunk base resulting in incomplete or biased evaluations of tree species effects on rainfall partitioning.
Based on these deliberations we conducted a color tracer experiment with Brilliant Blue to identify flow patterns of stemflow water along the stem surface of two broad-leafed tree species (Fagus sylvatica and Acer pseudoplatanus) and to estimate the infiltration area at the trunk base and down to 12 cm soil depth. The trunk area was dye-stained up to 1.5 m height in advance and stemflow patterns along the trunk surface and soil infiltration zone were visually quantified following two natural rainfall events. Furthermore, we tested the relationship between color-stained zones of "high through-flow” and ecological soil characteristics such as fine root distribution and soil pH. This approach differs from common color tracer experiments, where stems are actively and homogeneously sprinkled with large amounts of color tracer solution.
We found distinct spatially restricted stemflow pathways on the tree trunks, which appeared specific for the tree individual exhibiting larger washed-off areas for beech (4441 cm²) compared to maple (1816 cm²). The infiltration area of stemflow at the trunk base was smaller than the basal area (BA) amounting to 17% (226.2 cm²) of the BA for beech and to 30% (414.4 cm²) for maple. For beech, colored areas were restricted to a maximum extension of 13 cm distance from the stem and of 30 cm for maple.
Our investigation exhibited that stemflow infiltration was spatially more concentrated at the trunk base than commonly assumed. The outcome of this study might contribute to our understanding on hydrological and biogeochemical interlinkages between the surface and subsurface of the Critical Zone.
How to cite: Michalzik, B., Tischer, A., and Lotze, R.: Identifying stemflow pathways and infiltration areas for sycamore maple (Acer pseudoplatanus) and European beech (Fagus sylvatica) by passive dye application, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9972, https://doi.org/10.5194/egusphere-egu2020-9972, 2020.
Throughfall and stemflow are critical components of the hydrological and biogeochemical cycles of forested ecosystems, as they are the two hydrological processes responsible for the transfer of precipitation and solutes from vegetative canopies to the soil. Despite stemflow rarely accounts for >10% of the rainfall, its concentration over small areas at the base of trunks seems to affect the magnitude and timing of water inputs to the soil and biogeochemical cycling excessively.
Though substantial amount of literature on throughfall and stemflow research is available, recent reviews on eco-hydrology of forested ecosystems identified several key points of uncertainty where current knowledge is weak. These points especially address the role of canopy structure among tree species (i.e., interspecific variation) as well as within a single tree species (i.e., intraspecific variation as caused e.g. by morphology and age) for explaining the large variations in precipitation partitioning into throughfall and stemflow, the spatial variability of throughfall volume and chemistry as well as the temporal and spatial patterning of stemflow inputs to the ground. The latter two points are particular sources of uncertainty, since most sampling approaches fail to adequately identify the infiltration area of stemflow inputs at the trunk base resulting in incomplete or biased evaluations of tree species effects on rainfall partitioning.
Based on these deliberations we conducted a color tracer experiment with Brilliant Blue to identify flow patterns of stemflow water along the stem surface of two broad-leafed tree species (Fagus sylvatica and Acer pseudoplatanus) and to estimate the infiltration area at the trunk base and down to 12 cm soil depth. The trunk area was dye-stained up to 1.5 m height in advance and stemflow patterns along the trunk surface and soil infiltration zone were visually quantified following two natural rainfall events. Furthermore, we tested the relationship between color-stained zones of "high through-flow” and ecological soil characteristics such as fine root distribution and soil pH. This approach differs from common color tracer experiments, where stems are actively and homogeneously sprinkled with large amounts of color tracer solution.
We found distinct spatially restricted stemflow pathways on the tree trunks, which appeared specific for the tree individual exhibiting larger washed-off areas for beech (4441 cm²) compared to maple (1816 cm²). The infiltration area of stemflow at the trunk base was smaller than the basal area (BA) amounting to 17% (226.2 cm²) of the BA for beech and to 30% (414.4 cm²) for maple. For beech, colored areas were restricted to a maximum extension of 13 cm distance from the stem and of 30 cm for maple.
Our investigation exhibited that stemflow infiltration was spatially more concentrated at the trunk base than commonly assumed. The outcome of this study might contribute to our understanding on hydrological and biogeochemical interlinkages between the surface and subsurface of the Critical Zone.
How to cite: Michalzik, B., Tischer, A., and Lotze, R.: Identifying stemflow pathways and infiltration areas for sycamore maple (Acer pseudoplatanus) and European beech (Fagus sylvatica) by passive dye application, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9972, https://doi.org/10.5194/egusphere-egu2020-9972, 2020.
EGU2020-4296 | Displays | BG1.6
Vertical distribution of microbial communities and their response to metal(loid)s along vadose zone-aquifer sedimentsQian Chen and Sining Zhong
Microbial community in the vadose zone has been widely investigated. However, how microbial community varies from the vadose zone to deep-subsurface aquifer are poorly understood. In this study, 12 samples from vadose zone and three aquifer sediments were collected along a 42.5 m bore at a typical agricultural land in central China. High-throughput sequencing and multivariate statistical analysis were applied to explore the underlying distributions of bacterial, archaeal and fungal communities, and their response to environmental factors. The results showed that bacterial community changed considerably at vertical scales and essential variation occurred at the third aquifer layer. Actinobacteria (19.5%), NC10 (11.0%), Alphaproteobacteria (7.7%), Gammaproteobacteria (6.9%), and Deltaproteobacteria (6.4%) were most abundant classes in the vadose zone, where Alphaproteobacteria (22.3%), Gammaproteobacteria (20.1%), Actinobacteria (17.7%) and Bacteroidia (6.9%) enriched in the aquifer sediments. Archaeal and fungal communities were relatively more homogenous, with no significant trend as a function of depth. Process analysis further indicated that Selection dominated in bacterial community, whereas stochastic process governed archaeal and fungal communities. Moreover, environment-bacteria interaction analysis revealed that metal(loid)s (especially alkali metals) rather than physiochemical variables highly shaped the bacteria community in the vadose zone-aquifer continuum, where Bacteroidetes exhibited the strongest link to the variation of metal(loid)s. This research extends our knowledge about microbial community’s variation through the vadose zone to deep aquifer sediments in the studied area and similar agricultural areas.
How to cite: Chen, Q. and Zhong, S.: Vertical distribution of microbial communities and their response to metal(loid)s along vadose zone-aquifer sediments, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4296, https://doi.org/10.5194/egusphere-egu2020-4296, 2020.
Microbial community in the vadose zone has been widely investigated. However, how microbial community varies from the vadose zone to deep-subsurface aquifer are poorly understood. In this study, 12 samples from vadose zone and three aquifer sediments were collected along a 42.5 m bore at a typical agricultural land in central China. High-throughput sequencing and multivariate statistical analysis were applied to explore the underlying distributions of bacterial, archaeal and fungal communities, and their response to environmental factors. The results showed that bacterial community changed considerably at vertical scales and essential variation occurred at the third aquifer layer. Actinobacteria (19.5%), NC10 (11.0%), Alphaproteobacteria (7.7%), Gammaproteobacteria (6.9%), and Deltaproteobacteria (6.4%) were most abundant classes in the vadose zone, where Alphaproteobacteria (22.3%), Gammaproteobacteria (20.1%), Actinobacteria (17.7%) and Bacteroidia (6.9%) enriched in the aquifer sediments. Archaeal and fungal communities were relatively more homogenous, with no significant trend as a function of depth. Process analysis further indicated that Selection dominated in bacterial community, whereas stochastic process governed archaeal and fungal communities. Moreover, environment-bacteria interaction analysis revealed that metal(loid)s (especially alkali metals) rather than physiochemical variables highly shaped the bacteria community in the vadose zone-aquifer continuum, where Bacteroidetes exhibited the strongest link to the variation of metal(loid)s. This research extends our knowledge about microbial community’s variation through the vadose zone to deep aquifer sediments in the studied area and similar agricultural areas.
How to cite: Chen, Q. and Zhong, S.: Vertical distribution of microbial communities and their response to metal(loid)s along vadose zone-aquifer sediments, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4296, https://doi.org/10.5194/egusphere-egu2020-4296, 2020.
EGU2020-20390 | Displays | BG1.6
Transfer processes in the chalk critical zone – Multidisciplinary study of the undergound quarry of Saint Martin le NoeudDanièle Valdés, Ningxin Chen, Marc Dumont, Christelle Marlin, Hélène Blanchoud, Cyrille Fauchard, Fabrice Alliot, Ayoub Saydy, Emmanuel Aubry, Julien Guillemoteau, Roger Guérin, and Pierre Ribstein
The Chalk aquifer is a crucial, vital resource for water supply in France, Belgium and England. However, since several decades, this resource is threatened by high anthropogenic pressures: inducing a degradation of the groundwater’s quality.
The aim of our multidisciplinary study is to understand the transfer processes of the water and associated elements - solutes and contaminants (nitrate, pesticides) - throughout the critical zone (CZ) of chalk from the topsoil to the water table.
This study is focused on the underground quarry of Saint Martin le Noeud which is located in the Upper Cretaceous chalk layer of the Paris Basin. A layer of clay-with-flints covers the chalk of the quarry with a variable thickness. At a depth from 16 to 30m, the quarry is about 1200 m long and 150 m wide, giving a direct access to different groundwater compartments: (1) the Chalk water table through a series of 16 underground lakes, and (2) the vadose zone thanks to infiltration water percolating at the ceiling of the quarry. The set-up of this site allows to study the behaviors of both compartments.
Surface geophysical measurements: electrical resistivity tomography and electromagnetic induction mapping, have allowed to describe precisely the structure of the critical zone: in particular the geometry of the clay layer which has a variable thickness from 0 to about 5m.
The hydrodynamic and the quality of the groundwaters of both compartments (vadose zone and Chalk water table) have been characterized in time and space: (1) time series of flow percolation, water level, electrical conductivity and temperature, (2) geochemical analyses (major elements, nitrate, pesticides). The hydrodynamic and geochemical properties of the groundwaters vary spatially along the quarry highlighting different transfer processes.
Time series analysis and geochemical data allow to estimate the transfer velocities of the water and the contaminants and to precise the biogeochemical reactions (degradation, adsorption/desorption, storage …) that occurs in the CZ. These processes vary spatially depending on the properties of the CZ. The precise description of the clay layer compared to the groundwater behaviors allows to better characterize the infiltration processes. (1) a thin layer of clay induces a “diffuse infiltration”, low velocities, and low degradation of the pesticides in the subsurface, (2) a thick layer of clay induces a perched groundwater in the near-surface, degradation processes, concentrated infiltration and higher velocities.
How to cite: Valdés, D., Chen, N., Dumont, M., Marlin, C., Blanchoud, H., Fauchard, C., Alliot, F., Saydy, A., Aubry, E., Guillemoteau, J., Guérin, R., and Ribstein, P.: Transfer processes in the chalk critical zone – Multidisciplinary study of the undergound quarry of Saint Martin le Noeud, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20390, https://doi.org/10.5194/egusphere-egu2020-20390, 2020.
The Chalk aquifer is a crucial, vital resource for water supply in France, Belgium and England. However, since several decades, this resource is threatened by high anthropogenic pressures: inducing a degradation of the groundwater’s quality.
The aim of our multidisciplinary study is to understand the transfer processes of the water and associated elements - solutes and contaminants (nitrate, pesticides) - throughout the critical zone (CZ) of chalk from the topsoil to the water table.
This study is focused on the underground quarry of Saint Martin le Noeud which is located in the Upper Cretaceous chalk layer of the Paris Basin. A layer of clay-with-flints covers the chalk of the quarry with a variable thickness. At a depth from 16 to 30m, the quarry is about 1200 m long and 150 m wide, giving a direct access to different groundwater compartments: (1) the Chalk water table through a series of 16 underground lakes, and (2) the vadose zone thanks to infiltration water percolating at the ceiling of the quarry. The set-up of this site allows to study the behaviors of both compartments.
Surface geophysical measurements: electrical resistivity tomography and electromagnetic induction mapping, have allowed to describe precisely the structure of the critical zone: in particular the geometry of the clay layer which has a variable thickness from 0 to about 5m.
The hydrodynamic and the quality of the groundwaters of both compartments (vadose zone and Chalk water table) have been characterized in time and space: (1) time series of flow percolation, water level, electrical conductivity and temperature, (2) geochemical analyses (major elements, nitrate, pesticides). The hydrodynamic and geochemical properties of the groundwaters vary spatially along the quarry highlighting different transfer processes.
Time series analysis and geochemical data allow to estimate the transfer velocities of the water and the contaminants and to precise the biogeochemical reactions (degradation, adsorption/desorption, storage …) that occurs in the CZ. These processes vary spatially depending on the properties of the CZ. The precise description of the clay layer compared to the groundwater behaviors allows to better characterize the infiltration processes. (1) a thin layer of clay induces a “diffuse infiltration”, low velocities, and low degradation of the pesticides in the subsurface, (2) a thick layer of clay induces a perched groundwater in the near-surface, degradation processes, concentrated infiltration and higher velocities.
How to cite: Valdés, D., Chen, N., Dumont, M., Marlin, C., Blanchoud, H., Fauchard, C., Alliot, F., Saydy, A., Aubry, E., Guillemoteau, J., Guérin, R., and Ribstein, P.: Transfer processes in the chalk critical zone – Multidisciplinary study of the undergound quarry of Saint Martin le Noeud, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20390, https://doi.org/10.5194/egusphere-egu2020-20390, 2020.
EGU2020-3919 | Displays | BG1.6
Drivers of carbon fluxes in high-altitude Alpine Critical Zone: a novel data-based modelMarta Magnani, Ilaria Baneschi, Mariasilvia Giamberini, Brunella Raco, Pietro Mosca, and Antonello Provenzale
In high mountains, the Critical Zone (CZ) is a thin layer sustaining the whole local ecosystem. Here, however, the effects of climate change are manifesting most rapidly than in the surrounding lowlands. This is especially critical for the high-altitude carbon cycle, for which our knowledge is still patchy and new feedbacks could possibly be triggered. In particular, models of the processes that control carbon fluxes in mountain grasslands and Alpine tundra need to be improved. To contribute to fill this knowledge gap, in 2017 a new Critical Zone Observatory was established at the valley of the Nivolet Plain (CZO@Nivolet) in the Gran Paradiso National Park (GPNP), in the western Italian Alps, at about 2700 m asl. Three measurement sites were identified along the flanks of the valley. The sites are characterized by soils developed over carbonate rocks, gneiss rocks and glacial deposits. Since 2017, every year, from July to October, fluxes of carbon dioxide (CO2) were measured using a portable accumulation chamber, together with basic meteo-climatic and environmental variables, such as soil and air temperature and moisture, air pressure and solar radiation. This work is focused on a novel empirical model that uses unbiased and rigorous statistical analysis of these data to identify the environmental variables that control CO2 fluxes in Alpine tundra. The modelling approach is applied to the full dataset of simultaneous in situ measurements of the net exchange, ecosystem respiration and environmental variables for the three sites and the three measurement years. Since a large year-to-year variability in the dependencies on solar irradiance and environmental temperature is observed, a multi-regressive model has been implemented, where additional variables are introduced as perturbations of the standard functions. The multi-regressive model identifies the main drivers, highlighting the crucial role of soil moisture, and largely explains the temporal variability of the fluxes, with explained variance up to 90%. This model provides a basis for estimating future scenarios of carbon fluxes in high-altitude Alpine ecosystems.
How to cite: Magnani, M., Baneschi, I., Giamberini, M., Raco, B., Mosca, P., and Provenzale, A.: Drivers of carbon fluxes in high-altitude Alpine Critical Zone: a novel data-based model, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3919, https://doi.org/10.5194/egusphere-egu2020-3919, 2020.
In high mountains, the Critical Zone (CZ) is a thin layer sustaining the whole local ecosystem. Here, however, the effects of climate change are manifesting most rapidly than in the surrounding lowlands. This is especially critical for the high-altitude carbon cycle, for which our knowledge is still patchy and new feedbacks could possibly be triggered. In particular, models of the processes that control carbon fluxes in mountain grasslands and Alpine tundra need to be improved. To contribute to fill this knowledge gap, in 2017 a new Critical Zone Observatory was established at the valley of the Nivolet Plain (CZO@Nivolet) in the Gran Paradiso National Park (GPNP), in the western Italian Alps, at about 2700 m asl. Three measurement sites were identified along the flanks of the valley. The sites are characterized by soils developed over carbonate rocks, gneiss rocks and glacial deposits. Since 2017, every year, from July to October, fluxes of carbon dioxide (CO2) were measured using a portable accumulation chamber, together with basic meteo-climatic and environmental variables, such as soil and air temperature and moisture, air pressure and solar radiation. This work is focused on a novel empirical model that uses unbiased and rigorous statistical analysis of these data to identify the environmental variables that control CO2 fluxes in Alpine tundra. The modelling approach is applied to the full dataset of simultaneous in situ measurements of the net exchange, ecosystem respiration and environmental variables for the three sites and the three measurement years. Since a large year-to-year variability in the dependencies on solar irradiance and environmental temperature is observed, a multi-regressive model has been implemented, where additional variables are introduced as perturbations of the standard functions. The multi-regressive model identifies the main drivers, highlighting the crucial role of soil moisture, and largely explains the temporal variability of the fluxes, with explained variance up to 90%. This model provides a basis for estimating future scenarios of carbon fluxes in high-altitude Alpine ecosystems.
How to cite: Magnani, M., Baneschi, I., Giamberini, M., Raco, B., Mosca, P., and Provenzale, A.: Drivers of carbon fluxes in high-altitude Alpine Critical Zone: a novel data-based model, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3919, https://doi.org/10.5194/egusphere-egu2020-3919, 2020.
EGU2020-20621 | Displays | BG1.6
Mobile matter in the aeration zone of the Hainich Critical Zone Exploratory: First results from one-year monitoring by employing novel drain collectorsDinusha Eshvara Arachchige and Kai Uwe Totsche
Biogeochemical processes in the aeration zone (AZ) may severely affect the fluid flow, composition, and the amount of mobile matter. The AZ is a subsurface part of the Critical Zone (CZ) that connects the soils sensu stricto (SSS) with the aquifers. Depending on the groundwater dynamics, the fluid transiting in the AZ is not only recharged by the ascending seepage, but also by upwelling groundwater. Since the collection of fluids is a rather demanding task, fluid migration and matter transport have not been considered in CZ research so far. To address this research gap, we developed novel drain collectors and installed twenty of them within four different lithologies in the fractured carbonate AZ of the Hainich Critical Zone Exploratory (Hainich CZE) in central Germany. Drainage sampling was done on a regular monthly basis with additional event-based sampling. Size, chemical composition, and physio-chemical properties of the aqueous samples were analyzed by a range of spectroscopic, chromatographic, and microscopic techniques.
The amount of drainage water varied extremely between the locations and lithologies. We attribute this both to the foremost migration pathway operative (i.e., fractures, fluid flow regime, fracture flow, and film-flow) and to the different spatial extents of the “capture zones” that recharge the drainage collectors. For all lithologies, pH and EC were found to be independent of the lithology with rather high contents of organic carbon and showed significant differences between the hydrological summer and winter season. Significant amounts of colloids and larger suspended particles of calcite, clay minerals (Illite), and quartz were identified in almost all samples. While the general hydrochemistry seems to be controlled by the biogeochemical processes in the topsoils, we presume that the percolating water collects the mobilizable materials from exposed interfaces in the AZ. These materials are made “susceptible” to release and transport by weathering within the AZ during the periods of no flow. Additionally, upwelling groundwater may also be replenished the inventory of mobilizable materials in the AZ. Our study suggests that the AZ is not just an “inert” transition zone, but has to be considered as a biogeochemical reactor that may severely alter the seepage composition and properties, and thus the groundwater recharge.
How to cite: Eshvara Arachchige, D. and Totsche, K. U.: Mobile matter in the aeration zone of the Hainich Critical Zone Exploratory: First results from one-year monitoring by employing novel drain collectors , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20621, https://doi.org/10.5194/egusphere-egu2020-20621, 2020.
Biogeochemical processes in the aeration zone (AZ) may severely affect the fluid flow, composition, and the amount of mobile matter. The AZ is a subsurface part of the Critical Zone (CZ) that connects the soils sensu stricto (SSS) with the aquifers. Depending on the groundwater dynamics, the fluid transiting in the AZ is not only recharged by the ascending seepage, but also by upwelling groundwater. Since the collection of fluids is a rather demanding task, fluid migration and matter transport have not been considered in CZ research so far. To address this research gap, we developed novel drain collectors and installed twenty of them within four different lithologies in the fractured carbonate AZ of the Hainich Critical Zone Exploratory (Hainich CZE) in central Germany. Drainage sampling was done on a regular monthly basis with additional event-based sampling. Size, chemical composition, and physio-chemical properties of the aqueous samples were analyzed by a range of spectroscopic, chromatographic, and microscopic techniques.
The amount of drainage water varied extremely between the locations and lithologies. We attribute this both to the foremost migration pathway operative (i.e., fractures, fluid flow regime, fracture flow, and film-flow) and to the different spatial extents of the “capture zones” that recharge the drainage collectors. For all lithologies, pH and EC were found to be independent of the lithology with rather high contents of organic carbon and showed significant differences between the hydrological summer and winter season. Significant amounts of colloids and larger suspended particles of calcite, clay minerals (Illite), and quartz were identified in almost all samples. While the general hydrochemistry seems to be controlled by the biogeochemical processes in the topsoils, we presume that the percolating water collects the mobilizable materials from exposed interfaces in the AZ. These materials are made “susceptible” to release and transport by weathering within the AZ during the periods of no flow. Additionally, upwelling groundwater may also be replenished the inventory of mobilizable materials in the AZ. Our study suggests that the AZ is not just an “inert” transition zone, but has to be considered as a biogeochemical reactor that may severely alter the seepage composition and properties, and thus the groundwater recharge.
How to cite: Eshvara Arachchige, D. and Totsche, K. U.: Mobile matter in the aeration zone of the Hainich Critical Zone Exploratory: First results from one-year monitoring by employing novel drain collectors , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20621, https://doi.org/10.5194/egusphere-egu2020-20621, 2020.
EGU2020-18089 | Displays | BG1.6
Evaluating the potential of FT-ICR-MS to identify source-specific markers and trace molecular transformations in particulate organic matterJohanna Menges, Niels Hovius, Stefanie Poetz, Helena Osterholz, and Dirk Sachse
On long timescales, carbon fluxes in and out of rock, soil and biological reservoirs control carbon dioxide concentrations in the atmosphere and therefore modulate global climate. For example, the transfer of particulate organic matter (POM) from mountain ranges into rivers and subsequent burial in the ocean constitutes a carbon sink from the atmosphere if the eroded POM is sourced from vegetation and soils. In contrast, the transfer and burial of rock-derived petrogenic POM has no effect on atmospheric carbon concentrations. However, if petrogenic POM is remineralized during transfer, often mediated by microorganisms, it constitutes a carbon source to the atmosphere. To evaluate the net effect of these processes, it is essential to understand sourcing, mobilization and fluxes of POM. Bulk stable and radiogenic isotopes as well as a range of lipid biomarkers and their stable isotope ratios have been used to trace the sourcing and transfer of POM. However, these methods are limited to the distinction of broad classes of source materials and do not contain information on potential molecular transformations during organic matter mobilization and transport.
Fourier Transform Ion Cyclotron Resonance Mass Spectrometry (FT-ICR-MS) allows the simultaneous measurement of a large range of compounds (i.e. hundreds to thousands) and has been applied in dissolved organic matter research to trace different sources as well as to identify transformations. FT-ICR-MS measurements on solvent-extractable POM provide direct information on the compositional variability of POM with a much larger analytical window than single biomarker or bulk isotope analysis and additionally might allow to trace transformations of POM upon mobilization.
Here, we test this method to decipher the different sources of POM and their mobilization in the upper catchment of the trans-Himalayan Kali Gandaki River, which sources petrogenic POM from abundant Jurassic sediments as well as biospheric POM from aged and modern soils. We evaluate the potential of the high-resolution molecular dataset to identify new marker compounds for specific organic matter sources and, by applying indicator species analysis, to statistically identify indicator compounds. In a second step, we evaluate the potential to trace transformations across the mobilization step from each specific organic matter source to particulate organic matter in river sediments.
We found a large number of source-specific elemental formulas for biospheric carbon and strong heterogeneity for bedrock-derived organic carbon which highlights that petrogenic carbon varies in molecular composition depending on its (geological) origin. Regarding transformations, we found a loss of source-specific formulas during mobilization of organic matter, related to intrinsic chemical properties. These formulas were characterized by a higher number of double bond equivalents, a higher nominal oxidation state and higher oxygen content than formulas shared between riverine POM and source organic matter for all sources, which is consistent with the preferential loss of more labile organic matter during transport and/or mobilization. Overall, our study highlights the potential of FT-ICR-MS to identify molecular-level transformations of solvent extractable lipids along the source-to-sink pathway of sedimentary organic matter.
How to cite: Menges, J., Hovius, N., Poetz, S., Osterholz, H., and Sachse, D.: Evaluating the potential of FT-ICR-MS to identify source-specific markers and trace molecular transformations in particulate organic matter, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18089, https://doi.org/10.5194/egusphere-egu2020-18089, 2020.
On long timescales, carbon fluxes in and out of rock, soil and biological reservoirs control carbon dioxide concentrations in the atmosphere and therefore modulate global climate. For example, the transfer of particulate organic matter (POM) from mountain ranges into rivers and subsequent burial in the ocean constitutes a carbon sink from the atmosphere if the eroded POM is sourced from vegetation and soils. In contrast, the transfer and burial of rock-derived petrogenic POM has no effect on atmospheric carbon concentrations. However, if petrogenic POM is remineralized during transfer, often mediated by microorganisms, it constitutes a carbon source to the atmosphere. To evaluate the net effect of these processes, it is essential to understand sourcing, mobilization and fluxes of POM. Bulk stable and radiogenic isotopes as well as a range of lipid biomarkers and their stable isotope ratios have been used to trace the sourcing and transfer of POM. However, these methods are limited to the distinction of broad classes of source materials and do not contain information on potential molecular transformations during organic matter mobilization and transport.
Fourier Transform Ion Cyclotron Resonance Mass Spectrometry (FT-ICR-MS) allows the simultaneous measurement of a large range of compounds (i.e. hundreds to thousands) and has been applied in dissolved organic matter research to trace different sources as well as to identify transformations. FT-ICR-MS measurements on solvent-extractable POM provide direct information on the compositional variability of POM with a much larger analytical window than single biomarker or bulk isotope analysis and additionally might allow to trace transformations of POM upon mobilization.
Here, we test this method to decipher the different sources of POM and their mobilization in the upper catchment of the trans-Himalayan Kali Gandaki River, which sources petrogenic POM from abundant Jurassic sediments as well as biospheric POM from aged and modern soils. We evaluate the potential of the high-resolution molecular dataset to identify new marker compounds for specific organic matter sources and, by applying indicator species analysis, to statistically identify indicator compounds. In a second step, we evaluate the potential to trace transformations across the mobilization step from each specific organic matter source to particulate organic matter in river sediments.
We found a large number of source-specific elemental formulas for biospheric carbon and strong heterogeneity for bedrock-derived organic carbon which highlights that petrogenic carbon varies in molecular composition depending on its (geological) origin. Regarding transformations, we found a loss of source-specific formulas during mobilization of organic matter, related to intrinsic chemical properties. These formulas were characterized by a higher number of double bond equivalents, a higher nominal oxidation state and higher oxygen content than formulas shared between riverine POM and source organic matter for all sources, which is consistent with the preferential loss of more labile organic matter during transport and/or mobilization. Overall, our study highlights the potential of FT-ICR-MS to identify molecular-level transformations of solvent extractable lipids along the source-to-sink pathway of sedimentary organic matter.
How to cite: Menges, J., Hovius, N., Poetz, S., Osterholz, H., and Sachse, D.: Evaluating the potential of FT-ICR-MS to identify source-specific markers and trace molecular transformations in particulate organic matter, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18089, https://doi.org/10.5194/egusphere-egu2020-18089, 2020.
EGU2020-14451 | Displays | BG1.6
Dynamics of seepage mobile inventory in forest and agricultural soils - Results from a comparative multi-year lysimeter studyKatharina Lehmann, Robert Lehmann, and Kai Uwe Totsche
The mobile inventory in soil seepage is of fundamental importance for soil development and for functioning of subsurface ecosystem compartments. The mobile inventory may encompass inorganic, organo-mineral and organics, dissolved and colloidal, but also particulate matter and microbiota. Still unknown are the conditions and factors that trigger the release and export of seepage-contained mobile matter within soil, and its translocation through the subsurface of the critical zone. Long-term and high-resolution field studies that includes the mobile particulate inventory are essentially lacking. To overcome this knowledge gap, we established long-term soil monitoring plots in the Hainich Critical Zone Exploratory (HCZE; NW-Thuringia, central Germany). Soil seepage from 22 tension-supported lysimeters in topsoil and subsoil, covering different land use (forest, pasture, cropland) in the topographic recharge area of the HCZE, was collected and analyzed by a variety of analytical methods (physico-/chemical and spectroscopic) on a regular (biweekly) and event-scale cycle. With our study we proved that substances up to a size of 50 µm are mobile in the soils. The material spectra comprised minerals, mineral-organic particulates, diverse bioparticles and biotic detritus. Atmospheric forcing was found to be the major factor triggering the translocation of the mobile inventory. Especially episodic infiltration events during hydrological winter seasons (e.g. snow melts) with high seepage volume influences seepage hydrochemistry (e.g. pH, EC) and is important for transport of mobile matter to deeper compartments. Seasonal events cause mobilization of significant amounts of OC. On average, 21% of the total OC of the seepage was particulate (>0.45 µm). Furthermore, our results suggest that the formation environment and the geopedological setting (soil group, parent rock, land use) are controlling factors for the composition and the amount of soil-born mobile inventory. Our study provides evidence for the importance of the mobile inventory fraction >0,45 µm for soil element dynamics and budgets and highlights the role of weather events on soil and subsoil development and subsurface ecosystem functioning.
How to cite: Lehmann, K., Lehmann, R., and Totsche, K. U.: Dynamics of seepage mobile inventory in forest and agricultural soils - Results from a comparative multi-year lysimeter study, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-14451, https://doi.org/10.5194/egusphere-egu2020-14451, 2020.
The mobile inventory in soil seepage is of fundamental importance for soil development and for functioning of subsurface ecosystem compartments. The mobile inventory may encompass inorganic, organo-mineral and organics, dissolved and colloidal, but also particulate matter and microbiota. Still unknown are the conditions and factors that trigger the release and export of seepage-contained mobile matter within soil, and its translocation through the subsurface of the critical zone. Long-term and high-resolution field studies that includes the mobile particulate inventory are essentially lacking. To overcome this knowledge gap, we established long-term soil monitoring plots in the Hainich Critical Zone Exploratory (HCZE; NW-Thuringia, central Germany). Soil seepage from 22 tension-supported lysimeters in topsoil and subsoil, covering different land use (forest, pasture, cropland) in the topographic recharge area of the HCZE, was collected and analyzed by a variety of analytical methods (physico-/chemical and spectroscopic) on a regular (biweekly) and event-scale cycle. With our study we proved that substances up to a size of 50 µm are mobile in the soils. The material spectra comprised minerals, mineral-organic particulates, diverse bioparticles and biotic detritus. Atmospheric forcing was found to be the major factor triggering the translocation of the mobile inventory. Especially episodic infiltration events during hydrological winter seasons (e.g. snow melts) with high seepage volume influences seepage hydrochemistry (e.g. pH, EC) and is important for transport of mobile matter to deeper compartments. Seasonal events cause mobilization of significant amounts of OC. On average, 21% of the total OC of the seepage was particulate (>0.45 µm). Furthermore, our results suggest that the formation environment and the geopedological setting (soil group, parent rock, land use) are controlling factors for the composition and the amount of soil-born mobile inventory. Our study provides evidence for the importance of the mobile inventory fraction >0,45 µm for soil element dynamics and budgets and highlights the role of weather events on soil and subsoil development and subsurface ecosystem functioning.
How to cite: Lehmann, K., Lehmann, R., and Totsche, K. U.: Dynamics of seepage mobile inventory in forest and agricultural soils - Results from a comparative multi-year lysimeter study, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-14451, https://doi.org/10.5194/egusphere-egu2020-14451, 2020.
BG1.7 – Sustainable phosphorus management and recovery: linking phosphorus and other element/material cycles
EGU2020-10238 | Displays | BG1.7
Time to wake up to climate change and the accelerating phosphorus cyclePhil Haygarth
We urgently need to wake up to the role that climate change will be playing in the phosphorus cycle. The paper will attempt to address the complexities, controversies and uncertainties of estimating the effects that climate change is having on the phosphorus cycle. Citing an example from three UK catchments, the effect of climate change on average winter phosphorus loads is predicted to increase by up to 30% by the 2050s, and these effects will only be off-set by large-scale agricultural changes (e.g. a 20–80% reduction in phosphorus inputs). Achieving phosphorus-related quality water in diverse and productive agricultural landscapes under a changing climate is going to be a massive challenge. It is less than a century since we started mining rock phosphate, but in the context of a 4.5-billion-year-old earth and the acceleration due to climate, we are living through a switching point for phosphorus in the earth system.
How to cite: Haygarth, P.: Time to wake up to climate change and the accelerating phosphorus cycle, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10238, https://doi.org/10.5194/egusphere-egu2020-10238, 2020.
We urgently need to wake up to the role that climate change will be playing in the phosphorus cycle. The paper will attempt to address the complexities, controversies and uncertainties of estimating the effects that climate change is having on the phosphorus cycle. Citing an example from three UK catchments, the effect of climate change on average winter phosphorus loads is predicted to increase by up to 30% by the 2050s, and these effects will only be off-set by large-scale agricultural changes (e.g. a 20–80% reduction in phosphorus inputs). Achieving phosphorus-related quality water in diverse and productive agricultural landscapes under a changing climate is going to be a massive challenge. It is less than a century since we started mining rock phosphate, but in the context of a 4.5-billion-year-old earth and the acceleration due to climate, we are living through a switching point for phosphorus in the earth system.
How to cite: Haygarth, P.: Time to wake up to climate change and the accelerating phosphorus cycle, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10238, https://doi.org/10.5194/egusphere-egu2020-10238, 2020.
EGU2020-9980 | Displays | BG1.7 | Highlight
Obvious but overlooked: soil erosion neglect in the global phosphorus cycleChristine Alewell, Pasquale Borrelli, Bruno Ringeval, Cristiano Ballabio, David A. Robinson, and Panos Panagos
Phosphorus (P) as a key element in DNA, RNA as well as ATP and phospholipids is essential for the growth, functioning and reproduction of all life on earth. However, if fertilization with animal wastes or human excreta is not available or not organized, P fertilizers stem from nonrenewable geological P deposits, which are an increasingly limited resource. The potential threats of a global P limitation due to “peak phosphorus” have been discussed intensively in the recent past including the socio economic as well as political consequences which will be dramatic. While a deficit in available soil P leads to a loss of agricultural yield, an excess of total P in soils triggers aquatic eutrophication, loss in biodiversity and wildlife habitat in surrounding water bodies in other regions of the world.
We calculated global soil P balances considering input from atmosphere and plant management (as sum of manure and residue input minus plant uptake) versus depletion due to soil erosion in coupling P fluxes from (Ringeval et al., 2017) with soil erosion rates from (Borrelli et al., 2017).
The world’s soils are currently being depleted in P in spite of high chemical fertilizer input. Considering the current high chemical fertilizer inputs most continents result in slightly positive P balances (e.g. net P input to soils). Exception are Africa with very low chemical fertilizer input of 1.7 kg ha-1yr-1 paired with high losses due to soil erosion of 2 kg ha-1yr-1 and Europe (the latter is the average for the geographic Europe including eastern European countries with very low chemical fertilizer input). Results indicate negative balances globally as well as for all continents (depletion between 4 and 19 kg P ha-1yr-1 ) if input of chemical fertilizers is neglected.
Parallel to the distribution pattern and dynamics of global soil erosion by water (Borrelli et al., 2017), P losses from soils due to water erosion are most dramatic in countries and regions with intensive agriculture and/or extreme climates (e.g., high frequencies of heavy rain storm or droughts followed by significant rain events).
References
Borrelli, P., Robinson, D.A., Fleischer, L.R., Lugato, E., Ballabio, C., Alewell, C., Meusburger, K., Modugno, S., Schütt, B., Ferro, V., Bagarello, V., Oost, K.V., Montanarella, L. and Panagos, P., 2017. An assessment of the global impact of 21st century land use change on soil erosion. Nature Communications, 8(1): 2013.
Ringeval, B., Augusto, L., Monod, H., van Apeldoorn, D., Bouwman, L., Yang, X., Achat, D.L., Chini, L.P., Van Oost, K., Guenet, B., Wang, R., Decharme, B., Nesme, T. and Pellerin, S., 2017. Phosphorus in agricultural soils: drivers of its distribution at the global scale. Global Change Biology
How to cite: Alewell, C., Borrelli, P., Ringeval, B., Ballabio, C., Robinson, D. A., and Panagos, P.: Obvious but overlooked: soil erosion neglect in the global phosphorus cycle, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9980, https://doi.org/10.5194/egusphere-egu2020-9980, 2020.
Phosphorus (P) as a key element in DNA, RNA as well as ATP and phospholipids is essential for the growth, functioning and reproduction of all life on earth. However, if fertilization with animal wastes or human excreta is not available or not organized, P fertilizers stem from nonrenewable geological P deposits, which are an increasingly limited resource. The potential threats of a global P limitation due to “peak phosphorus” have been discussed intensively in the recent past including the socio economic as well as political consequences which will be dramatic. While a deficit in available soil P leads to a loss of agricultural yield, an excess of total P in soils triggers aquatic eutrophication, loss in biodiversity and wildlife habitat in surrounding water bodies in other regions of the world.
We calculated global soil P balances considering input from atmosphere and plant management (as sum of manure and residue input minus plant uptake) versus depletion due to soil erosion in coupling P fluxes from (Ringeval et al., 2017) with soil erosion rates from (Borrelli et al., 2017).
The world’s soils are currently being depleted in P in spite of high chemical fertilizer input. Considering the current high chemical fertilizer inputs most continents result in slightly positive P balances (e.g. net P input to soils). Exception are Africa with very low chemical fertilizer input of 1.7 kg ha-1yr-1 paired with high losses due to soil erosion of 2 kg ha-1yr-1 and Europe (the latter is the average for the geographic Europe including eastern European countries with very low chemical fertilizer input). Results indicate negative balances globally as well as for all continents (depletion between 4 and 19 kg P ha-1yr-1 ) if input of chemical fertilizers is neglected.
Parallel to the distribution pattern and dynamics of global soil erosion by water (Borrelli et al., 2017), P losses from soils due to water erosion are most dramatic in countries and regions with intensive agriculture and/or extreme climates (e.g., high frequencies of heavy rain storm or droughts followed by significant rain events).
References
Borrelli, P., Robinson, D.A., Fleischer, L.R., Lugato, E., Ballabio, C., Alewell, C., Meusburger, K., Modugno, S., Schütt, B., Ferro, V., Bagarello, V., Oost, K.V., Montanarella, L. and Panagos, P., 2017. An assessment of the global impact of 21st century land use change on soil erosion. Nature Communications, 8(1): 2013.
Ringeval, B., Augusto, L., Monod, H., van Apeldoorn, D., Bouwman, L., Yang, X., Achat, D.L., Chini, L.P., Van Oost, K., Guenet, B., Wang, R., Decharme, B., Nesme, T. and Pellerin, S., 2017. Phosphorus in agricultural soils: drivers of its distribution at the global scale. Global Change Biology
How to cite: Alewell, C., Borrelli, P., Ringeval, B., Ballabio, C., Robinson, D. A., and Panagos, P.: Obvious but overlooked: soil erosion neglect in the global phosphorus cycle, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9980, https://doi.org/10.5194/egusphere-egu2020-9980, 2020.
EGU2020-10893 | Displays | BG1.7
Continental scale climate, land-use and geological controls of soil P cycling and relations with soil C and NWolfgang Wanek, Daniel Wasner, Johann Püspök, Theresa Böckle, Lisa Noll, Shasha Zhang, Qing Zheng, and Yuntao Hu
Despite the importance of phosphorus (P) as a nutrient for all life, its availability is highly constrained in terrestrial ecosystems. The availability of P to plants and microbes is regulated by abiotic processes (e.g. P sorption/desorption, precipitation/dissolution) and biological activities (microbial P immobilization/organic P mineralization). Due to the strong geochemical component of the P cycle, it can be expected that soil C, N and P cycling may differ in terms of effects of geology, climate and management. Despite advances in our understanding of physico-chemical controls on P availability, there is still little mechanistic understanding of large scale controls on soil P cycling and its relation to soil C and N cycling, due to a lack of broad scale studies using common methodologies.
Here we aimed to investigate soil physicochemical and biological factors that drive soil P cycling and may cause a (de)coupling of C, N and P processes. We therefore sampled mineral topsoils (0-10 cm, n=95) across a continental transect in Europe (Southern Spain to Northern Scandinavia), covering major geological, climatic and land use gradients. The soils derived from different land uses (cropland, grassland, forest/woodland) and bedrock types (silicate, sediment, calcareous). We analyzed a wide range of potentially relevant physico-chemical and biological properties and measured gross rates of soil N and P processes by short term (24 h) incubations of soils with 33P and 15N following isotope pool dilution approaches.
(i) Across the whole transect land-use effects on soil P pools and processes exceeded those of geology, reflecting the accumulation of fertilizer P in soils of managed ecosystems. Cropland (and grasslands) had higher values of soil total P and soil inorganic P (Pi), available Pi (Olsen P), and gross Pi mobilization rates by abiotic and biotic processes compared to forests. Soil phosphatase activity did not vary between land-uses. Soils on silicate bedrock had significantly higher total and labile P than calcareous soils.
(ii) Climate differentially affected P pools and processes. Soil total P, dissolved organic P, and gross Pi desorption decreased with mean annual temperature (MAT; these properties were not sensitive to mean annual precipitation - MAP), while soil phosphatase activity and gross total Pi mobilization through abiotic and biotic processes increased with MAP but were insensitive to MAT. This clearly points to adverse climatic controls of biotic and abiotic soil P processes.
(iii) We found strong interlinkages between soil C, N and P pools (soil organic matter and microbial biomass) and soil enzymes (beta-glucosidase, chitinase, phosphatase) but not in related gross processes (respiration, N and P mineralization). Interestingly the slopes of C-P and N-P relations of pools and enzymes differed systematically between land-uses, indicating that land management causes a partial decoupling of P from C and N cycles, reflecting the P-richness of croplands.
How to cite: Wanek, W., Wasner, D., Püspök, J., Böckle, T., Noll, L., Zhang, S., Zheng, Q., and Hu, Y.: Continental scale climate, land-use and geological controls of soil P cycling and relations with soil C and N, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10893, https://doi.org/10.5194/egusphere-egu2020-10893, 2020.
Despite the importance of phosphorus (P) as a nutrient for all life, its availability is highly constrained in terrestrial ecosystems. The availability of P to plants and microbes is regulated by abiotic processes (e.g. P sorption/desorption, precipitation/dissolution) and biological activities (microbial P immobilization/organic P mineralization). Due to the strong geochemical component of the P cycle, it can be expected that soil C, N and P cycling may differ in terms of effects of geology, climate and management. Despite advances in our understanding of physico-chemical controls on P availability, there is still little mechanistic understanding of large scale controls on soil P cycling and its relation to soil C and N cycling, due to a lack of broad scale studies using common methodologies.
Here we aimed to investigate soil physicochemical and biological factors that drive soil P cycling and may cause a (de)coupling of C, N and P processes. We therefore sampled mineral topsoils (0-10 cm, n=95) across a continental transect in Europe (Southern Spain to Northern Scandinavia), covering major geological, climatic and land use gradients. The soils derived from different land uses (cropland, grassland, forest/woodland) and bedrock types (silicate, sediment, calcareous). We analyzed a wide range of potentially relevant physico-chemical and biological properties and measured gross rates of soil N and P processes by short term (24 h) incubations of soils with 33P and 15N following isotope pool dilution approaches.
(i) Across the whole transect land-use effects on soil P pools and processes exceeded those of geology, reflecting the accumulation of fertilizer P in soils of managed ecosystems. Cropland (and grasslands) had higher values of soil total P and soil inorganic P (Pi), available Pi (Olsen P), and gross Pi mobilization rates by abiotic and biotic processes compared to forests. Soil phosphatase activity did not vary between land-uses. Soils on silicate bedrock had significantly higher total and labile P than calcareous soils.
(ii) Climate differentially affected P pools and processes. Soil total P, dissolved organic P, and gross Pi desorption decreased with mean annual temperature (MAT; these properties were not sensitive to mean annual precipitation - MAP), while soil phosphatase activity and gross total Pi mobilization through abiotic and biotic processes increased with MAP but were insensitive to MAT. This clearly points to adverse climatic controls of biotic and abiotic soil P processes.
(iii) We found strong interlinkages between soil C, N and P pools (soil organic matter and microbial biomass) and soil enzymes (beta-glucosidase, chitinase, phosphatase) but not in related gross processes (respiration, N and P mineralization). Interestingly the slopes of C-P and N-P relations of pools and enzymes differed systematically between land-uses, indicating that land management causes a partial decoupling of P from C and N cycles, reflecting the P-richness of croplands.
How to cite: Wanek, W., Wasner, D., Püspök, J., Böckle, T., Noll, L., Zhang, S., Zheng, Q., and Hu, Y.: Continental scale climate, land-use and geological controls of soil P cycling and relations with soil C and N, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10893, https://doi.org/10.5194/egusphere-egu2020-10893, 2020.
EGU2020-4664 | Displays | BG1.7
Phosphate supply to the eutrophic lake Eichbaumsee (Germany): Sedimentary versus groundwater sourcesJan Scholten, Wiebe Förster, Michael Schubert, Kay Knöller, Nikolaus Classen, Michael Lechelt, Jan-Helge Richard, Udo Rohweder, and Isabell Zunker
The eutrophic lake Eichbaumsee, a ~ 1 km long and 280m wide (maximum water depth 16m) dredging lake southeast of Hamburg (Germany), has been treated for water quality improvements using various techniques (i.e. aeration plants, removal of dissolved phosphate by aluminium phosphate precipitation and by Benthophos adsorption) during the past ~ 15 years. Despite these treatments no long-term improvement of the water quality was observed and the lake water phosphate content continued to increase by e.g. ~ 350 kg phosphate per year between March 2016 and February 2019. As no creeks or rivers drain into the lake and hydrological groundwater models do not suggest any major groundwater discharge into the lake, sources of phosphate (and other nutrients) are unknown.
We investigated the phosphate fluxes from sediment pore water and groundwater into the water body of the lake. Sediment pore water was extracted from sediment cores recovered by divers in August 2018 and February 2019. Diffusive phosphate fluxes from pore water were calculated based on phosphate gradients using first Fick`s law. Stable water isotopes (δ2H, δ18O) were measured in the lake water, sediment pore water, interstitial waters in the banks surrounding the lake, the Elbe river and in three groundwater wells close to lake. Stable isotope (δ2H, δ18O) water mass balance models were used to compute water inflow/outflow to/from the lake.
Our results revealed pore-water borne phosphate fluxes between – 0.07 mg/m²/d (i.e. slight phosphate uptake by the sediments) and 2.6 mg/m²/d (i.e. phosphate release to the lake). Assuming that the measured phosphate fluxes are temporarily and spatially representative for the whole lake, about 100 kg/a to 220 kg/a of phosphate is released from sediments. This amount is slightly lower than the observed phosphate increase of the lake water. Stable isotope signatures indicate a water exchange between the aquifer and the lake water. Based on stable isotope mass balances (δ2H, δ18O) we estimate an inflow of phosphate from the aquifer to the lake between 190 kg/a and 1400 kg/a. This inflow indicates that groundwater-born phosphate is as or even more important than phosphate supply via sediment pore-water. Our study suggests that groundwater may have an important impact on lake nutrient budgets.
How to cite: Scholten, J., Förster, W., Schubert, M., Knöller, K., Classen, N., Lechelt, M., Richard, J.-H., Rohweder, U., and Zunker, I.: Phosphate supply to the eutrophic lake Eichbaumsee (Germany): Sedimentary versus groundwater sources, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4664, https://doi.org/10.5194/egusphere-egu2020-4664, 2020.
The eutrophic lake Eichbaumsee, a ~ 1 km long and 280m wide (maximum water depth 16m) dredging lake southeast of Hamburg (Germany), has been treated for water quality improvements using various techniques (i.e. aeration plants, removal of dissolved phosphate by aluminium phosphate precipitation and by Benthophos adsorption) during the past ~ 15 years. Despite these treatments no long-term improvement of the water quality was observed and the lake water phosphate content continued to increase by e.g. ~ 350 kg phosphate per year between March 2016 and February 2019. As no creeks or rivers drain into the lake and hydrological groundwater models do not suggest any major groundwater discharge into the lake, sources of phosphate (and other nutrients) are unknown.
We investigated the phosphate fluxes from sediment pore water and groundwater into the water body of the lake. Sediment pore water was extracted from sediment cores recovered by divers in August 2018 and February 2019. Diffusive phosphate fluxes from pore water were calculated based on phosphate gradients using first Fick`s law. Stable water isotopes (δ2H, δ18O) were measured in the lake water, sediment pore water, interstitial waters in the banks surrounding the lake, the Elbe river and in three groundwater wells close to lake. Stable isotope (δ2H, δ18O) water mass balance models were used to compute water inflow/outflow to/from the lake.
Our results revealed pore-water borne phosphate fluxes between – 0.07 mg/m²/d (i.e. slight phosphate uptake by the sediments) and 2.6 mg/m²/d (i.e. phosphate release to the lake). Assuming that the measured phosphate fluxes are temporarily and spatially representative for the whole lake, about 100 kg/a to 220 kg/a of phosphate is released from sediments. This amount is slightly lower than the observed phosphate increase of the lake water. Stable isotope signatures indicate a water exchange between the aquifer and the lake water. Based on stable isotope mass balances (δ2H, δ18O) we estimate an inflow of phosphate from the aquifer to the lake between 190 kg/a and 1400 kg/a. This inflow indicates that groundwater-born phosphate is as or even more important than phosphate supply via sediment pore-water. Our study suggests that groundwater may have an important impact on lake nutrient budgets.
How to cite: Scholten, J., Förster, W., Schubert, M., Knöller, K., Classen, N., Lechelt, M., Richard, J.-H., Rohweder, U., and Zunker, I.: Phosphate supply to the eutrophic lake Eichbaumsee (Germany): Sedimentary versus groundwater sources, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4664, https://doi.org/10.5194/egusphere-egu2020-4664, 2020.
EGU2020-9777 | Displays | BG1.7
Reconstructing past lake water total phosphorus concentration using sediment geochemical recordsMadeleine Moyle, John Boyle, and Richard Chiverrell
To understand current phosphorus (P) cycling, which encompasses disturbances caused by human activity, it is necessary to quantify the long-term natural P cycles on which modern drivers act. The shortness of monitored P records renders this difficult by only covering the post-disturbance period and therefore fail to capture pre-disturbance baselines. Target driven management of sensitive ecosystems suffering from eutrophication uses baselines for P that cannot be reliably quantified at present. Recovery will only be possible if P loadings can be brought under control and this requires an understanding of what water quality targets are both desirable and achievable on a site-specific basis. This matters because a well-functioning ecosystem will be more resilient under future climate change and increasing human pressure on the landscape.
Where lakes are present in the landscape, there is the opportunity to use the sediment archive to provide long records of past P concentration. At present, these reconstructions rely on diatoms or related microfossil indicators. These require time and resource intensive tailored training sets and furthermore the records do not preserve in all lakes. Here we present a novel geochemical method for reconstructing water P concentrations based on lake sediment P burial fluxes, which in principle is universally applicable.
Tested at six published lake sites, the method produces results that agree very well with overlapping monitoring data for those lakes (r2 = 0.8). We want to share our method with the research community to identify additional sites to further verify the general applicability.
To illustrate the value of this approach to site-specific management, we compare past lake water total P reconstructions at Crosemere (UK) with a record of Holocene land cover change to identify the drivers of acceleration in the P cycle. Wider application of this lake sediment geochemical method will allow more critical evaluation of the human and natural drivers of the P cycle and be of benefit to ‘systems understanding’ spanning terrestrial and aquatic ecosystems.
How to cite: Moyle, M., Boyle, J., and Chiverrell, R.: Reconstructing past lake water total phosphorus concentration using sediment geochemical records, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9777, https://doi.org/10.5194/egusphere-egu2020-9777, 2020.
To understand current phosphorus (P) cycling, which encompasses disturbances caused by human activity, it is necessary to quantify the long-term natural P cycles on which modern drivers act. The shortness of monitored P records renders this difficult by only covering the post-disturbance period and therefore fail to capture pre-disturbance baselines. Target driven management of sensitive ecosystems suffering from eutrophication uses baselines for P that cannot be reliably quantified at present. Recovery will only be possible if P loadings can be brought under control and this requires an understanding of what water quality targets are both desirable and achievable on a site-specific basis. This matters because a well-functioning ecosystem will be more resilient under future climate change and increasing human pressure on the landscape.
Where lakes are present in the landscape, there is the opportunity to use the sediment archive to provide long records of past P concentration. At present, these reconstructions rely on diatoms or related microfossil indicators. These require time and resource intensive tailored training sets and furthermore the records do not preserve in all lakes. Here we present a novel geochemical method for reconstructing water P concentrations based on lake sediment P burial fluxes, which in principle is universally applicable.
Tested at six published lake sites, the method produces results that agree very well with overlapping monitoring data for those lakes (r2 = 0.8). We want to share our method with the research community to identify additional sites to further verify the general applicability.
To illustrate the value of this approach to site-specific management, we compare past lake water total P reconstructions at Crosemere (UK) with a record of Holocene land cover change to identify the drivers of acceleration in the P cycle. Wider application of this lake sediment geochemical method will allow more critical evaluation of the human and natural drivers of the P cycle and be of benefit to ‘systems understanding’ spanning terrestrial and aquatic ecosystems.
How to cite: Moyle, M., Boyle, J., and Chiverrell, R.: Reconstructing past lake water total phosphorus concentration using sediment geochemical records, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9777, https://doi.org/10.5194/egusphere-egu2020-9777, 2020.
EGU2020-12462 | Displays | BG1.7
Recycling of Polyphosphate accumulated in picoplankton in coastal Lake OntarioMaria Dittrich, Jiying Li, Diane Diane Plouchart, and Arthur Zastepa
Phytoplankton can accumulate polyphosphate (polyP) to alleviate the limitation of essential nutrient phosphorus (P). Yet polyP metabolisms in aquatic systems and their roles in P biogeochemical cycle remain elusive. Previously reported polyP enrichment in low-phosphorus oligotrophic marine waters contradicts the common view of polyP as a luxury P-storage molecule. Here, we show that in a P-rich eutrophic bay of Lake Ontario, planktonic polyP is controlled by multiple mechanisms and responds strongly to seasonal variations. Plankton accumulates polyP as P storage under high-P conditions via luxury uptake and uses it under acute P stress. Low phosphorus also triggers enrichment of polyP that can be preferentially recycled to attenuate P lost. We discover that picoplankton, despite their low production rates, are responsible for the dynamic polyP metabolisms. Picoplankton store and liberate polyP to support the high primary productivity of blooming algae. PolyP mechanisms enable and P exchange and efficient P recycling on the ecosystem and even larger scales.
How to cite: Dittrich, M., Li, J., Diane Plouchart, D., and Zastepa, A.: Recycling of Polyphosphate accumulated in picoplankton in coastal Lake Ontario, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12462, https://doi.org/10.5194/egusphere-egu2020-12462, 2020.
Phytoplankton can accumulate polyphosphate (polyP) to alleviate the limitation of essential nutrient phosphorus (P). Yet polyP metabolisms in aquatic systems and their roles in P biogeochemical cycle remain elusive. Previously reported polyP enrichment in low-phosphorus oligotrophic marine waters contradicts the common view of polyP as a luxury P-storage molecule. Here, we show that in a P-rich eutrophic bay of Lake Ontario, planktonic polyP is controlled by multiple mechanisms and responds strongly to seasonal variations. Plankton accumulates polyP as P storage under high-P conditions via luxury uptake and uses it under acute P stress. Low phosphorus also triggers enrichment of polyP that can be preferentially recycled to attenuate P lost. We discover that picoplankton, despite their low production rates, are responsible for the dynamic polyP metabolisms. Picoplankton store and liberate polyP to support the high primary productivity of blooming algae. PolyP mechanisms enable and P exchange and efficient P recycling on the ecosystem and even larger scales.
How to cite: Dittrich, M., Li, J., Diane Plouchart, D., and Zastepa, A.: Recycling of Polyphosphate accumulated in picoplankton in coastal Lake Ontario, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12462, https://doi.org/10.5194/egusphere-egu2020-12462, 2020.
EGU2020-8677 | Displays | BG1.7
Monitoring early stages of P release from fertilizer pellets to bulk soil using non-invasive sampling techniquesChiara Petroselli, Katherine Williams, Arpan Ghosh, Callum Scotson, Daniel McKay Fletcher, Siul Ruiz, Nancy Walker, Tiago Gerheim Sousa Dias, and Tiina Roose
Phosphorus (P) is a development-limiting nutrient for crops, hence global food production relies on P fertilizer application. However, P mobility in soil depends on many abiotic and biological processes, most notably its chemical interactions with the soil particles. Optimizing the timing and amount of fertilization could lead to higher production efficiencies and also reduce P runoff and subsequent contamination of water bodies. Plants have developed strategies to improve P uptake by optimizing the root system architecture and exuding organic acids for enhancing P mining locally to the root tips. However, these adaptations are mainly a response to low P availability or to already immobilized P patches in soil, and little is known about the fate of P in the early stages of fertilization.
In this framework, we developed an experimental assay for investigating P release from the fertilizer pellets, and its movement through soil using non-invasive microdialysis sampling techniques and inductively coupled plasma - mass spectrometry (ICP-MS) analytical techniques. Microdialysis allowed for time resolved in-situ samplings and the small size of the probes also allows for a fine spatial resolution.
Results showed a very rapid release of the P from the fertilizer pellet (triple super phosphate, TSP), producing a high concentration pulse that lasts a few hours. P concentrations then decrease over time until reaching steady low concentrations after 6-8 days and P replenishment from the pellet was not observed after the first pulse. The experiments showed that the speed of P movement in soil is greatly influenced by soil particle size distribution, and that gravity plays an important role in promoting quick P movement in the downward direction, while diffusion can account for P observed in the upward direction. Modelling was also applied to data fitting for quantifying trends and deriving an effective P diffusion coefficient in saturated soil.
How to cite: Petroselli, C., Williams, K., Ghosh, A., Scotson, C., McKay Fletcher, D., Ruiz, S., Walker, N., Sousa Dias, T. G., and Roose, T.: Monitoring early stages of P release from fertilizer pellets to bulk soil using non-invasive sampling techniques, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8677, https://doi.org/10.5194/egusphere-egu2020-8677, 2020.
Phosphorus (P) is a development-limiting nutrient for crops, hence global food production relies on P fertilizer application. However, P mobility in soil depends on many abiotic and biological processes, most notably its chemical interactions with the soil particles. Optimizing the timing and amount of fertilization could lead to higher production efficiencies and also reduce P runoff and subsequent contamination of water bodies. Plants have developed strategies to improve P uptake by optimizing the root system architecture and exuding organic acids for enhancing P mining locally to the root tips. However, these adaptations are mainly a response to low P availability or to already immobilized P patches in soil, and little is known about the fate of P in the early stages of fertilization.
In this framework, we developed an experimental assay for investigating P release from the fertilizer pellets, and its movement through soil using non-invasive microdialysis sampling techniques and inductively coupled plasma - mass spectrometry (ICP-MS) analytical techniques. Microdialysis allowed for time resolved in-situ samplings and the small size of the probes also allows for a fine spatial resolution.
Results showed a very rapid release of the P from the fertilizer pellet (triple super phosphate, TSP), producing a high concentration pulse that lasts a few hours. P concentrations then decrease over time until reaching steady low concentrations after 6-8 days and P replenishment from the pellet was not observed after the first pulse. The experiments showed that the speed of P movement in soil is greatly influenced by soil particle size distribution, and that gravity plays an important role in promoting quick P movement in the downward direction, while diffusion can account for P observed in the upward direction. Modelling was also applied to data fitting for quantifying trends and deriving an effective P diffusion coefficient in saturated soil.
How to cite: Petroselli, C., Williams, K., Ghosh, A., Scotson, C., McKay Fletcher, D., Ruiz, S., Walker, N., Sousa Dias, T. G., and Roose, T.: Monitoring early stages of P release from fertilizer pellets to bulk soil using non-invasive sampling techniques, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8677, https://doi.org/10.5194/egusphere-egu2020-8677, 2020.
EGU2020-2871 | Displays | BG1.7
Mobilization of P from crystalline and amorphous Fe- and Al-hydroxidesStella Gypser and Dirk Freese
In neutral to acidic soils, the availability of phosphorus (P) is affected by its strong affinity for mineral surfaces. Especially the interaction between P and iron- and aluminum-(oxy)hydroxides (Fe- and Al-hydroxides) plays a crucial role in the immobilization and hence, availability of P for plants. In this context, the fixation of P is mainly determined by processes of adsorption, desorption, and precipitation. In that sense, the kinetics and mechanisms of P desorption from synthetic well crystalline goethite (α-FeO(OH)) and gibbsite (γ-Al(OH)3) as well as from amorphous ferrihydrite (Fe2O3·H2O) and Al-hydroxide (Al(OH)3) were characterized.
Different inorganic and organic desorption solutions were selected for these experiments. On the one hand, substance conversion processes take place in the soil system. High-molecular-weight organic compounds formed during humification and mineralization play an important role in soil environment and P mobilization. On the other hand, plants had developed a range of adaptive strategies in case of P demand. Plant roots excrete complex mixtures of organic compounds such as organic acids, amino acids, and sugars. Additionally, there are equilibrium reactions, which are determined by the respective ionic strength of the soil solution itself. For a comparison regarding the efficiency of P mobilization from synthetic Fe- and Al-hydroxides, the desorption solutions CaCl2, and CaSO4 were chosen as main components of the soil solution, and humic and citric acid were selected as organic ligands following humification or produced by organisms in the rhizosphere.
Previous P adsorption experiments revealed the formation of adsorbed P surface complexes on crystalline hydroxides by using Fourier-Transform Infrared spectroscopy. Amorphous Al-hydroxides, characterized by a less rigid crystal structure, revealed higher accessibility of P binding sites within the particle structure. The higher accessibility of binding sites was also observed for ferrihydrite. The amorphous character enabled the diffusion of P into the mineral particle, where stable surface complexes and precipitates were formed. Hence, the grade of crystallinity affects the extent of precipitated and low-soluble P complexes.
After 8 weeks of desorption time, the cumulative P desorption increased following the order CaCl2 < CaSO4 < humic acid < citric acid. Amorphous ferrihydrite exhibited much less desorption when exposed to inorganic solutions than goethite, gibbsite, or Al-hydroxide. Modeling of the desorption data suggested a diffusion-controlled desorption step for ferrihydrite with citric acid as sorptive. The determination of CTotal also indicated various release mechanisms of the organic acids: while the use of humic acid led to the accumulation of metal-organic complexes in the solution, citric acid dissolved the mineral phase and hence, also low-soluble precipitated P-complexes. The results suggest organic compounds, especially citric acid, are more important for the mobilization of P from both crystalline and amorphous Fe- and Al-hydroxides than inorganic ions present in the soil solution.
How to cite: Gypser, S. and Freese, D.: Mobilization of P from crystalline and amorphous Fe- and Al-hydroxides, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2871, https://doi.org/10.5194/egusphere-egu2020-2871, 2020.
In neutral to acidic soils, the availability of phosphorus (P) is affected by its strong affinity for mineral surfaces. Especially the interaction between P and iron- and aluminum-(oxy)hydroxides (Fe- and Al-hydroxides) plays a crucial role in the immobilization and hence, availability of P for plants. In this context, the fixation of P is mainly determined by processes of adsorption, desorption, and precipitation. In that sense, the kinetics and mechanisms of P desorption from synthetic well crystalline goethite (α-FeO(OH)) and gibbsite (γ-Al(OH)3) as well as from amorphous ferrihydrite (Fe2O3·H2O) and Al-hydroxide (Al(OH)3) were characterized.
Different inorganic and organic desorption solutions were selected for these experiments. On the one hand, substance conversion processes take place in the soil system. High-molecular-weight organic compounds formed during humification and mineralization play an important role in soil environment and P mobilization. On the other hand, plants had developed a range of adaptive strategies in case of P demand. Plant roots excrete complex mixtures of organic compounds such as organic acids, amino acids, and sugars. Additionally, there are equilibrium reactions, which are determined by the respective ionic strength of the soil solution itself. For a comparison regarding the efficiency of P mobilization from synthetic Fe- and Al-hydroxides, the desorption solutions CaCl2, and CaSO4 were chosen as main components of the soil solution, and humic and citric acid were selected as organic ligands following humification or produced by organisms in the rhizosphere.
Previous P adsorption experiments revealed the formation of adsorbed P surface complexes on crystalline hydroxides by using Fourier-Transform Infrared spectroscopy. Amorphous Al-hydroxides, characterized by a less rigid crystal structure, revealed higher accessibility of P binding sites within the particle structure. The higher accessibility of binding sites was also observed for ferrihydrite. The amorphous character enabled the diffusion of P into the mineral particle, where stable surface complexes and precipitates were formed. Hence, the grade of crystallinity affects the extent of precipitated and low-soluble P complexes.
After 8 weeks of desorption time, the cumulative P desorption increased following the order CaCl2 < CaSO4 < humic acid < citric acid. Amorphous ferrihydrite exhibited much less desorption when exposed to inorganic solutions than goethite, gibbsite, or Al-hydroxide. Modeling of the desorption data suggested a diffusion-controlled desorption step for ferrihydrite with citric acid as sorptive. The determination of CTotal also indicated various release mechanisms of the organic acids: while the use of humic acid led to the accumulation of metal-organic complexes in the solution, citric acid dissolved the mineral phase and hence, also low-soluble precipitated P-complexes. The results suggest organic compounds, especially citric acid, are more important for the mobilization of P from both crystalline and amorphous Fe- and Al-hydroxides than inorganic ions present in the soil solution.
How to cite: Gypser, S. and Freese, D.: Mobilization of P from crystalline and amorphous Fe- and Al-hydroxides, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2871, https://doi.org/10.5194/egusphere-egu2020-2871, 2020.
EGU2020-4211 | Displays | BG1.7
Development of a regeneration technique for aluminum-rich and iron-rich phosphorus sorption materialsIsis S P C Scott, Chad J Penn, and Chi Hua Huang
Preventing dissolved phosphorus (P) accumulation in soils and its transport to water bodies has been subject of many studies. However, despite the continuous efforts and advances, excessive P is still a concern and it is especially problematic in freshwater systems: excessive dissolved P leads to eutrophic conditions, a threat for water quality and aquatic life. P removal structures are a novel technology used in urban and rural settings to intercept dissolved P in surface and subsurface flows. P sorption materials (PSMs), active media with high affinity for dissolved P, are the core components of these structures. Once the PSMs reach service life, replacing the spent media can be costly. The objective of this research is to assess potential regeneration techniques that will extend the lifetime of Aluminum (Al)/Iron (Fe)-rich PSMs. We are proposing a regeneration involving a continuous circulation of 1M KOH aiming to restore unavailable sorption sites on the PSMs. A series of flow-through experiments was conducted alternating between P sorption (0.5 and 50 mg/L input solution) and desorption with KOH (5 or 20 pore volumes), varying residence times (0.5 min and 10 min) and number of recirculations (0, 6 and 24). We tested the treatments in 3 manufactured PSMs, Alcan, Biomax and PhosRedeem. Across two cycles of sorption-desorption, Alcan, Biomax and PhosRedeem showed an average P recovery of 81%, 79% and 7%, respectively. The comparative investigation of the tested treatments revealed that the most effective regeneration treatment is characterized by a larger KOH volume (20 pore volumes) and no recirculation, with up to 100% reported P recovery. This research demonstrates the ability of Al/Fe-rich PSMs regeneration to contribute to a circular economy of P, as P recovery enables a more sustainable P cycle in both terrestrial and aquatic environments.
How to cite: S P C Scott, I., J Penn, C., and Huang, C. H.: Development of a regeneration technique for aluminum-rich and iron-rich phosphorus sorption materials , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4211, https://doi.org/10.5194/egusphere-egu2020-4211, 2020.
Preventing dissolved phosphorus (P) accumulation in soils and its transport to water bodies has been subject of many studies. However, despite the continuous efforts and advances, excessive P is still a concern and it is especially problematic in freshwater systems: excessive dissolved P leads to eutrophic conditions, a threat for water quality and aquatic life. P removal structures are a novel technology used in urban and rural settings to intercept dissolved P in surface and subsurface flows. P sorption materials (PSMs), active media with high affinity for dissolved P, are the core components of these structures. Once the PSMs reach service life, replacing the spent media can be costly. The objective of this research is to assess potential regeneration techniques that will extend the lifetime of Aluminum (Al)/Iron (Fe)-rich PSMs. We are proposing a regeneration involving a continuous circulation of 1M KOH aiming to restore unavailable sorption sites on the PSMs. A series of flow-through experiments was conducted alternating between P sorption (0.5 and 50 mg/L input solution) and desorption with KOH (5 or 20 pore volumes), varying residence times (0.5 min and 10 min) and number of recirculations (0, 6 and 24). We tested the treatments in 3 manufactured PSMs, Alcan, Biomax and PhosRedeem. Across two cycles of sorption-desorption, Alcan, Biomax and PhosRedeem showed an average P recovery of 81%, 79% and 7%, respectively. The comparative investigation of the tested treatments revealed that the most effective regeneration treatment is characterized by a larger KOH volume (20 pore volumes) and no recirculation, with up to 100% reported P recovery. This research demonstrates the ability of Al/Fe-rich PSMs regeneration to contribute to a circular economy of P, as P recovery enables a more sustainable P cycle in both terrestrial and aquatic environments.
How to cite: S P C Scott, I., J Penn, C., and Huang, C. H.: Development of a regeneration technique for aluminum-rich and iron-rich phosphorus sorption materials , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4211, https://doi.org/10.5194/egusphere-egu2020-4211, 2020.
EGU2020-5603 | Displays | BG1.7
Identifying opportunities for sustainable phosphorus management in Northern Ireland with substance flow analysisShane Rothwell, Kirsty Forber, Chris Johnson, Donnacha Doody, and Paul Withers
In common with most national agricultural systems, phosphorus (P) inputs are essential for production of crops and livestock in Northern Ireland (NI). However, the negative environmental impacts on their aquatic environments of inappropriate P management both in agriculture and the wider food system are widely acknowledged. Recent gains in reducing P loading to fresh waters through regulatory intervention are now reversing (Northern Ireland Environmental Statistics Report, DAERA 2018) suggesting the need for additional approaches that improve the sustainability of P use in the NI food system. Such approaches should ensure that P entering the food system (e.g. as food, fertilisers and animal feed) is efficiently recycled back into the system to ‘close the P cycle’, and thus reduce the demand for imported P. Furthermore, minimising P losses from different stages of the food system are critical to mitigating negative environmental impacts. To effectively achieve this, the flows, stores and losses of P within the food system must first be understood. Here, we report on a P substance flow analysis (SFA) undertaken for NI for the year 2017, that provided a focus to empower stakeholders to explore options to change P stewardship in the NI food system. Total P import to the NI food system in 2017 as food, feed, fertiliser and chemical P was 19096 t (10.21 kg person-1 yr-1), total P exports were 8097 t (4.33 kg person-1 yr-1) leaving a system surplus of 10999 t (5.88 kg person-1 yr-1). Of this surplus, 923 t of P (0.49 kg person-1 yr-1 or 8%) was consumed in food by the population of NI, 7959 t (72%) accumulated in agricultural soil as excess application, 1528 t (14%) were lost to fresh and coastal waters and 1189 t (11%) were disposed in landfill, demonstrating the current imbalance of P use in NI. This P SFA model created a framework of understanding to engage key stakeholders, in scenario analysis, to explore opportunities for improving the sustainability of P use in the NI food system.
How to cite: Rothwell, S., Forber, K., Johnson, C., Doody, D., and Withers, P.: Identifying opportunities for sustainable phosphorus management in Northern Ireland with substance flow analysis, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5603, https://doi.org/10.5194/egusphere-egu2020-5603, 2020.
In common with most national agricultural systems, phosphorus (P) inputs are essential for production of crops and livestock in Northern Ireland (NI). However, the negative environmental impacts on their aquatic environments of inappropriate P management both in agriculture and the wider food system are widely acknowledged. Recent gains in reducing P loading to fresh waters through regulatory intervention are now reversing (Northern Ireland Environmental Statistics Report, DAERA 2018) suggesting the need for additional approaches that improve the sustainability of P use in the NI food system. Such approaches should ensure that P entering the food system (e.g. as food, fertilisers and animal feed) is efficiently recycled back into the system to ‘close the P cycle’, and thus reduce the demand for imported P. Furthermore, minimising P losses from different stages of the food system are critical to mitigating negative environmental impacts. To effectively achieve this, the flows, stores and losses of P within the food system must first be understood. Here, we report on a P substance flow analysis (SFA) undertaken for NI for the year 2017, that provided a focus to empower stakeholders to explore options to change P stewardship in the NI food system. Total P import to the NI food system in 2017 as food, feed, fertiliser and chemical P was 19096 t (10.21 kg person-1 yr-1), total P exports were 8097 t (4.33 kg person-1 yr-1) leaving a system surplus of 10999 t (5.88 kg person-1 yr-1). Of this surplus, 923 t of P (0.49 kg person-1 yr-1 or 8%) was consumed in food by the population of NI, 7959 t (72%) accumulated in agricultural soil as excess application, 1528 t (14%) were lost to fresh and coastal waters and 1189 t (11%) were disposed in landfill, demonstrating the current imbalance of P use in NI. This P SFA model created a framework of understanding to engage key stakeholders, in scenario analysis, to explore opportunities for improving the sustainability of P use in the NI food system.
How to cite: Rothwell, S., Forber, K., Johnson, C., Doody, D., and Withers, P.: Identifying opportunities for sustainable phosphorus management in Northern Ireland with substance flow analysis, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5603, https://doi.org/10.5194/egusphere-egu2020-5603, 2020.
EGU2020-5870 | Displays | BG1.7
Evaluating P sustainability using biosolids in comparison to commercial fertilizer for P-use efficient genetically transformed lettuceNeng Iong Chan, Bruce Rittmann, and James Elser
The sustainable management of phosphorus (P) includes recycling and enhancing P-use efficiency (PUE) in agriculture. In this study, we compared plant yield and the PUE of lettuce growing with soil amendments of biosolids from three wastewater treatment plants in comparison to commercial fertilizer. Furthermore, we used AVP1-transformed lettuce (Lactuca sativa cv. Conquistador), which is genetically improved to enhance its PUE, and compared its performance to non-transformed (wildtype, WT) lettuce in greenhouse conditions. AVP1 lettuce produced higher yield than WT lettuce only with commercial-fertilizer treatments; the yield with biosolid treatments did not vary between the two lettuce types. PUE did not differ between WT and AVP1 lettuce but was higher for commercial fertilizer than for biosolids. WT lettuce had higher P content in below-ground biomass than AVP1 lettuce when both were treated with biosolids. This suggests that capability of AVP1 lettuce to acidify the root zone may have mobilized heavy metals from biosolids and these toxins reduced the yield, P uptake, and PUE in AVP1 lettuce. In particular, Cd and As contents were high in lettuce biomass from biosolid treatments and exceeded recommendations for human daily oral dose.
How to cite: Chan, N. I., Rittmann, B., and Elser, J.: Evaluating P sustainability using biosolids in comparison to commercial fertilizer for P-use efficient genetically transformed lettuce, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5870, https://doi.org/10.5194/egusphere-egu2020-5870, 2020.
The sustainable management of phosphorus (P) includes recycling and enhancing P-use efficiency (PUE) in agriculture. In this study, we compared plant yield and the PUE of lettuce growing with soil amendments of biosolids from three wastewater treatment plants in comparison to commercial fertilizer. Furthermore, we used AVP1-transformed lettuce (Lactuca sativa cv. Conquistador), which is genetically improved to enhance its PUE, and compared its performance to non-transformed (wildtype, WT) lettuce in greenhouse conditions. AVP1 lettuce produced higher yield than WT lettuce only with commercial-fertilizer treatments; the yield with biosolid treatments did not vary between the two lettuce types. PUE did not differ between WT and AVP1 lettuce but was higher for commercial fertilizer than for biosolids. WT lettuce had higher P content in below-ground biomass than AVP1 lettuce when both were treated with biosolids. This suggests that capability of AVP1 lettuce to acidify the root zone may have mobilized heavy metals from biosolids and these toxins reduced the yield, P uptake, and PUE in AVP1 lettuce. In particular, Cd and As contents were high in lettuce biomass from biosolid treatments and exceeded recommendations for human daily oral dose.
How to cite: Chan, N. I., Rittmann, B., and Elser, J.: Evaluating P sustainability using biosolids in comparison to commercial fertilizer for P-use efficient genetically transformed lettuce, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5870, https://doi.org/10.5194/egusphere-egu2020-5870, 2020.
EGU2020-6206 | Displays | BG1.7
Regulation of dissolved phosphate through incorporation into schwertmanniteHelen E. King, Stan Bakker, Gijs Munnecom, and Felipe Gomez
Phosphate is known to absorb strongly to schwertmannite (Fe8O8(OH)6(SO4)·nH2O)1 and as such, schwertmannite has been proposed to limit phosphate in solution in acid mine drainage (AMD) environments. This in turn will limit phosphate availability to the micro-organisms that live in and propagate AMD2. Here we have studied sediment samples from the Rio Tinto river in Spain collected during Europlanet field area visit to verify whether phosphate can be incorporated into sulphate-rich minerals in this river. The minerals were identified using X-ray diffraction. Our analyses show that the concentration of phosphate in the river is in the nM range. Digestion of modern sediments in nitric acid followed by inductively coupled plasma atomic emission spectroscopy (ICP-AES) analysis indicate that sites with sulphate-rich minerals are correlated with elevated phosphate concentrations. In addition, phosphate is also retained in ancient sediments that are dominated by goethite (FeO(OH)).
We have also conducted experiments to explore the competition between Fe3+, phosphate and sulphate ions in solution as well as the effect of this on schwertmannite nucleation. UV-Vis and Raman spectroscopy demonstrate that contact ion pairs form between Fe3+ and phosphate or sulphate in solution. Particularly, phosphate and sulphate compete for Fe3+ in solution consistent with predictions by the solution speciation modelling program PHREEQC. Our experiments also show that above a critical concentration, phosphate retards the nucleation of schwertmannite. As this critical concentration is above that found in Rio Tinto river fluids, phosphate is expected to have a limited role in schwertmannite precipitation, but, its concentration is regulated by its incorporation into schwertmannite and other sulphate-bearing phases in AMD systems.
References
1Eskandarpour et al. 2006, Material Transactions, 1832. 2Chen et al. 2015, ISME, 1579.
How to cite: King, H. E., Bakker, S., Munnecom, G., and Gomez, F.: Regulation of dissolved phosphate through incorporation into schwertmannite , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6206, https://doi.org/10.5194/egusphere-egu2020-6206, 2020.
Phosphate is known to absorb strongly to schwertmannite (Fe8O8(OH)6(SO4)·nH2O)1 and as such, schwertmannite has been proposed to limit phosphate in solution in acid mine drainage (AMD) environments. This in turn will limit phosphate availability to the micro-organisms that live in and propagate AMD2. Here we have studied sediment samples from the Rio Tinto river in Spain collected during Europlanet field area visit to verify whether phosphate can be incorporated into sulphate-rich minerals in this river. The minerals were identified using X-ray diffraction. Our analyses show that the concentration of phosphate in the river is in the nM range. Digestion of modern sediments in nitric acid followed by inductively coupled plasma atomic emission spectroscopy (ICP-AES) analysis indicate that sites with sulphate-rich minerals are correlated with elevated phosphate concentrations. In addition, phosphate is also retained in ancient sediments that are dominated by goethite (FeO(OH)).
We have also conducted experiments to explore the competition between Fe3+, phosphate and sulphate ions in solution as well as the effect of this on schwertmannite nucleation. UV-Vis and Raman spectroscopy demonstrate that contact ion pairs form between Fe3+ and phosphate or sulphate in solution. Particularly, phosphate and sulphate compete for Fe3+ in solution consistent with predictions by the solution speciation modelling program PHREEQC. Our experiments also show that above a critical concentration, phosphate retards the nucleation of schwertmannite. As this critical concentration is above that found in Rio Tinto river fluids, phosphate is expected to have a limited role in schwertmannite precipitation, but, its concentration is regulated by its incorporation into schwertmannite and other sulphate-bearing phases in AMD systems.
References
1Eskandarpour et al. 2006, Material Transactions, 1832. 2Chen et al. 2015, ISME, 1579.
How to cite: King, H. E., Bakker, S., Munnecom, G., and Gomez, F.: Regulation of dissolved phosphate through incorporation into schwertmannite , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6206, https://doi.org/10.5194/egusphere-egu2020-6206, 2020.
EGU2020-7857 | Displays | BG1.7 | Highlight
P-TRAP - Diffuse phosphorus input to surface watersSylvia Walter and Thilo Behrends and the P-TRAP team
Phosphate (P) as an essential resource for food production is becoming scarce. Its uncontrolled loss from agricultural areas is in conflict with the principles of a circular economy. Enhanced loading of surface waters with P is the main cause for eutrophication and presents a key challenge in meeting the objectives of the EU Water Framework Directive. Understanding and controlling environmental P fluxes therefore is key to target both problems, to develop new methods and approaches to manage environmental P fluxes, and to improve surface water quality.
In March 2019 the EU Marie Sklodowska-Curie Innovative Training Network P-TRAP has been launched. P-TRAP establishes a framework of partners from multiple science and engineering disciplines. Integration of non-academic partners from various stakeholder groups into the P-TRAP consortium paves the way for direct implementation of the acquired knowledge. The project is targeting the diffuse flux of phosphate (P) into surface waters, i.e. the problems of understanding and controlling environmental P fluxes. P-TRAP aims to develop new methods and approaches to trap P in drained agricultural areas and in the sediments of eutrophic lakes. Trapping of P involves the application of iron(Fe)-containing by-products from drinking water treatment. P-TRAP aspires the ideas of a circular economy and aims at recovering the retained P in agricultural systems. Novel microbial technologies will be developed to convert P-loaded Fe-minerals into marketable fertilizers whose suitability will be evaluated. The P-TRAP technologies have in common that they rely on the naturally strong connection between P and Fe and the innovative P-TRAP strategies will be underpinned by process-orientated investigations on the behaviour of P during the transformation of Fe minerals. The latter are key in trapping and recycling of P in agricultural systems and lakes. The poster will present the structure and the planned research of the project, including a first overview of achievements of the first year.
How to cite: Walter, S. and Behrends, T. and the P-TRAP team: P-TRAP - Diffuse phosphorus input to surface waters, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7857, https://doi.org/10.5194/egusphere-egu2020-7857, 2020.
Phosphate (P) as an essential resource for food production is becoming scarce. Its uncontrolled loss from agricultural areas is in conflict with the principles of a circular economy. Enhanced loading of surface waters with P is the main cause for eutrophication and presents a key challenge in meeting the objectives of the EU Water Framework Directive. Understanding and controlling environmental P fluxes therefore is key to target both problems, to develop new methods and approaches to manage environmental P fluxes, and to improve surface water quality.
In March 2019 the EU Marie Sklodowska-Curie Innovative Training Network P-TRAP has been launched. P-TRAP establishes a framework of partners from multiple science and engineering disciplines. Integration of non-academic partners from various stakeholder groups into the P-TRAP consortium paves the way for direct implementation of the acquired knowledge. The project is targeting the diffuse flux of phosphate (P) into surface waters, i.e. the problems of understanding and controlling environmental P fluxes. P-TRAP aims to develop new methods and approaches to trap P in drained agricultural areas and in the sediments of eutrophic lakes. Trapping of P involves the application of iron(Fe)-containing by-products from drinking water treatment. P-TRAP aspires the ideas of a circular economy and aims at recovering the retained P in agricultural systems. Novel microbial technologies will be developed to convert P-loaded Fe-minerals into marketable fertilizers whose suitability will be evaluated. The P-TRAP technologies have in common that they rely on the naturally strong connection between P and Fe and the innovative P-TRAP strategies will be underpinned by process-orientated investigations on the behaviour of P during the transformation of Fe minerals. The latter are key in trapping and recycling of P in agricultural systems and lakes. The poster will present the structure and the planned research of the project, including a first overview of achievements of the first year.
How to cite: Walter, S. and Behrends, T. and the P-TRAP team: P-TRAP - Diffuse phosphorus input to surface waters, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7857, https://doi.org/10.5194/egusphere-egu2020-7857, 2020.
EGU2020-8267 | Displays | BG1.7
Physico-chemical transformation of bone char for soil amendmentPartha Pratim Biswas, Yi-tse Weng, Gordon Turner-Walker, and Biqing Liang*
* Corresponding author. Tel: 886-62757575 ext65433; E-mail: BL93@cornell.edu; liangbq@mail.ncku.edu.tw
Abstract: Bone residue was found an important constituent of the miraculous Amazonian Dark Earth and considered as an effective supply of Ca and P nutrient to increase soil fertility. The application of bone-char to the soil as amendment is a favorable practice, yet more research is needed to understand the behavior and fate of bone hydroxyapatite (Ca10(PO4)6(OH)2) (HAp) in the natural environment over time. In our study, we explored Fourier Transform Infrared spectroscopy (FTIR) and X-Ray diffraction (XRD) to study the physicochemical properties of bone and bone-char (300-1200 °C) under pyrolysis temperatures and their dissolution behavior at different pH (4 and 6). We observed the structural transformation from B-type CHAp to a higher level of disorder AB or A-type CHAp with increasing temperatures, which could be explained by the reaction CO2 with 2 OH- in the CHAp channel. A weak band of CO32- at 700 °C implied thermal decomposition of inorganic CO32- at above 700 °C, which partially contributed to the increasing crystallinity and stability of bone char. As the pyrolysis temperature increased up to 1100 °C, the centroid of v3c PO43- peak shifted to a higher wavenumber (1029-1051 cm-1), resulting from the rearrangement of P-O bonds. The loss of water and organic component contributed to an increase in vacancy. The amide and lipids decomposition occurred within 300-600 °C, rendering a better crystal symmetry. The signal of structural OH- band increased with increasing temperature from 300 to 500 °C, due to the reaction of inorganic CO32- and H2O [CO32- + H2O ↔ 2(OH-) + CO2]. There was more A-type CHAp formation due to simultaneous reverse reaction, and the OH- band became weaker at above 500 °C. The surface consolidation of bone char was obvious at 700 °C, according to observation by the Transmission X-ray Microscopy (TXM). The P dissolution was the highest for bone at pH 4 (11.82±0.98 ppm), compared to that at pH 6 (10.93±0.39 ppm). The dissolution was relatively low in 500 °C biochar, and the amount was comparable at pH 4 (7.08±0.16 ppm) and pH 6 (6.902±0.16 ppm) after 140 hours’ incubation. The lowest P dissolution was observed at 700 °C biochar, and a higher dissolution was observed at higher pH 6(6.03±0.03 ppm) when compared to that at pH 4 (3.489 ±0.07 ppm). There was a very large increase in pH after bone char addition, which increased from 4 to 8.12 and 6 to 8.14, respectively. The solution end pH was similar after bone char addition. Surface complex reaction (≡CaOH2++HPO42–⇌≡OPO3H-+H+) explained the PO43- re-adsorption to bone char surface within the pH range of 4.5 to 8.2. Charring of bone would lead to a longer lifetime in the natural environment and render a stable pool of P nutrient in infertile soils. The scale-up application of bone char offers new opportunities to restore degraded soil by waste recycling and management.
Keywords: Bone char, hydroxyapatite (HAp), CHAp, FTIR, TXM, Phosphorus dissolution, soil fertility.
How to cite: Biswas, P. P., Weng, Y., Turner-Walker, G., and Liang*, B.: Physico-chemical transformation of bone char for soil amendment , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8267, https://doi.org/10.5194/egusphere-egu2020-8267, 2020.
* Corresponding author. Tel: 886-62757575 ext65433; E-mail: BL93@cornell.edu; liangbq@mail.ncku.edu.tw
Abstract: Bone residue was found an important constituent of the miraculous Amazonian Dark Earth and considered as an effective supply of Ca and P nutrient to increase soil fertility. The application of bone-char to the soil as amendment is a favorable practice, yet more research is needed to understand the behavior and fate of bone hydroxyapatite (Ca10(PO4)6(OH)2) (HAp) in the natural environment over time. In our study, we explored Fourier Transform Infrared spectroscopy (FTIR) and X-Ray diffraction (XRD) to study the physicochemical properties of bone and bone-char (300-1200 °C) under pyrolysis temperatures and their dissolution behavior at different pH (4 and 6). We observed the structural transformation from B-type CHAp to a higher level of disorder AB or A-type CHAp with increasing temperatures, which could be explained by the reaction CO2 with 2 OH- in the CHAp channel. A weak band of CO32- at 700 °C implied thermal decomposition of inorganic CO32- at above 700 °C, which partially contributed to the increasing crystallinity and stability of bone char. As the pyrolysis temperature increased up to 1100 °C, the centroid of v3c PO43- peak shifted to a higher wavenumber (1029-1051 cm-1), resulting from the rearrangement of P-O bonds. The loss of water and organic component contributed to an increase in vacancy. The amide and lipids decomposition occurred within 300-600 °C, rendering a better crystal symmetry. The signal of structural OH- band increased with increasing temperature from 300 to 500 °C, due to the reaction of inorganic CO32- and H2O [CO32- + H2O ↔ 2(OH-) + CO2]. There was more A-type CHAp formation due to simultaneous reverse reaction, and the OH- band became weaker at above 500 °C. The surface consolidation of bone char was obvious at 700 °C, according to observation by the Transmission X-ray Microscopy (TXM). The P dissolution was the highest for bone at pH 4 (11.82±0.98 ppm), compared to that at pH 6 (10.93±0.39 ppm). The dissolution was relatively low in 500 °C biochar, and the amount was comparable at pH 4 (7.08±0.16 ppm) and pH 6 (6.902±0.16 ppm) after 140 hours’ incubation. The lowest P dissolution was observed at 700 °C biochar, and a higher dissolution was observed at higher pH 6(6.03±0.03 ppm) when compared to that at pH 4 (3.489 ±0.07 ppm). There was a very large increase in pH after bone char addition, which increased from 4 to 8.12 and 6 to 8.14, respectively. The solution end pH was similar after bone char addition. Surface complex reaction (≡CaOH2++HPO42–⇌≡OPO3H-+H+) explained the PO43- re-adsorption to bone char surface within the pH range of 4.5 to 8.2. Charring of bone would lead to a longer lifetime in the natural environment and render a stable pool of P nutrient in infertile soils. The scale-up application of bone char offers new opportunities to restore degraded soil by waste recycling and management.
Keywords: Bone char, hydroxyapatite (HAp), CHAp, FTIR, TXM, Phosphorus dissolution, soil fertility.
How to cite: Biswas, P. P., Weng, Y., Turner-Walker, G., and Liang*, B.: Physico-chemical transformation of bone char for soil amendment , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8267, https://doi.org/10.5194/egusphere-egu2020-8267, 2020.
EGU2020-2337 | Displays | BG1.7
Effects of intermittency and land use on the in-stream phosphorus and organic carbon uptakeGabriele Weigelhofer and Matthias Pucher
Understanding the consequences of the interplay between land use and climate change is among the most pressing challenges of the 21st century for river managers. Over the past decades, agricultural land use has altered nutrient concentrations and stoichiometric ratios in stream ecosystems, thereby affecting aquatic biogeochemical cycles and the coupling among carbon, phosphorus, and nitrogen. In addition, the frequency and duration of droughts has increased dramatically across Europe, causing perennial streams to shift to intermittency and changing the capacity of sediments for the uptake and storage of macronutrients.
Our study aims to understand the effects of drying and re-wetting on the uptake, storage, and release of phosphorus and organic carbon from the benthic and the hyporheic zone of headwater streams under the additional stressor of agricultural land use. In specific, we are interested in the potential coupling and decoupling of phosphorus and dissolved organic carbon cycling in autotrophic and heterotrophic benthic biofilms. We sampled headwater streams before, during, and after the dry period in 2018 and 2019 and performed laboratory experiments with artificial drying and re-wetting and additions of dissolved organic carbon. We measured nutrient uptake and release, microbial biomass, respiration, and the activity of extra-cellular enzymes. The first results show an increased phosphorus release from the sediments immediately after re-wetting, foolowed by a reduced uptake capacity. The uptake of DOC was correlated with phosphorus in autotrophic biofilms, but not in heterotrophic ones.
How to cite: Weigelhofer, G. and Pucher, M.: Effects of intermittency and land use on the in-stream phosphorus and organic carbon uptake, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2337, https://doi.org/10.5194/egusphere-egu2020-2337, 2020.
Understanding the consequences of the interplay between land use and climate change is among the most pressing challenges of the 21st century for river managers. Over the past decades, agricultural land use has altered nutrient concentrations and stoichiometric ratios in stream ecosystems, thereby affecting aquatic biogeochemical cycles and the coupling among carbon, phosphorus, and nitrogen. In addition, the frequency and duration of droughts has increased dramatically across Europe, causing perennial streams to shift to intermittency and changing the capacity of sediments for the uptake and storage of macronutrients.
Our study aims to understand the effects of drying and re-wetting on the uptake, storage, and release of phosphorus and organic carbon from the benthic and the hyporheic zone of headwater streams under the additional stressor of agricultural land use. In specific, we are interested in the potential coupling and decoupling of phosphorus and dissolved organic carbon cycling in autotrophic and heterotrophic benthic biofilms. We sampled headwater streams before, during, and after the dry period in 2018 and 2019 and performed laboratory experiments with artificial drying and re-wetting and additions of dissolved organic carbon. We measured nutrient uptake and release, microbial biomass, respiration, and the activity of extra-cellular enzymes. The first results show an increased phosphorus release from the sediments immediately after re-wetting, foolowed by a reduced uptake capacity. The uptake of DOC was correlated with phosphorus in autotrophic biofilms, but not in heterotrophic ones.
How to cite: Weigelhofer, G. and Pucher, M.: Effects of intermittency and land use on the in-stream phosphorus and organic carbon uptake, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2337, https://doi.org/10.5194/egusphere-egu2020-2337, 2020.
EGU2020-9968 | Displays | BG1.7
Comparing lake sediment records of landscape macronutrient loadings with N14CP model simulations: 200 years of change in British lakesJohn Boyle, Ed Tipping, Jess Davies, Neil Rose, Simon Turner, Hannah Toberman, Dan Schillereff, and Richard Chiverrell
To fully understand coupling between P and other macronutrients it is necessary to have both long-term data sets and process models, combining empirical reality with numerical simulation of coupling processes. Here, lake sediment records of N and P from four UK lakes are compared with model output from N14CP, a long-term, large-scale model of cycling and export of macronutrients from the landscape. The sediment records at the three lakes that have substantial lowland contributions reveal strongly increasing N and P loading through the late 19th century, with steady increases through the twentieth century. Corresponding changes in N and C isotopes are observed. However, the one mountain lake show maximum N and P loadings in the 19th century, with declines through the twentieth, consistent with a wholly different land use history. The N14CP model shows N and P increasing from mid 19th century for average lowland sites, in agreement with the lowland sediment records. The implications of these results for our knowledge about the history of P and N coupling and leaching from UK soils are discussed.
How to cite: Boyle, J., Tipping, E., Davies, J., Rose, N., Turner, S., Toberman, H., Schillereff, D., and Chiverrell, R.: Comparing lake sediment records of landscape macronutrient loadings with N14CP model simulations: 200 years of change in British lakes, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9968, https://doi.org/10.5194/egusphere-egu2020-9968, 2020.
To fully understand coupling between P and other macronutrients it is necessary to have both long-term data sets and process models, combining empirical reality with numerical simulation of coupling processes. Here, lake sediment records of N and P from four UK lakes are compared with model output from N14CP, a long-term, large-scale model of cycling and export of macronutrients from the landscape. The sediment records at the three lakes that have substantial lowland contributions reveal strongly increasing N and P loading through the late 19th century, with steady increases through the twentieth century. Corresponding changes in N and C isotopes are observed. However, the one mountain lake show maximum N and P loadings in the 19th century, with declines through the twentieth, consistent with a wholly different land use history. The N14CP model shows N and P increasing from mid 19th century for average lowland sites, in agreement with the lowland sediment records. The implications of these results for our knowledge about the history of P and N coupling and leaching from UK soils are discussed.
How to cite: Boyle, J., Tipping, E., Davies, J., Rose, N., Turner, S., Toberman, H., Schillereff, D., and Chiverrell, R.: Comparing lake sediment records of landscape macronutrient loadings with N14CP model simulations: 200 years of change in British lakes, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9968, https://doi.org/10.5194/egusphere-egu2020-9968, 2020.
EGU2020-12974 | Displays | BG1.7
Recovering P from a eutrophic lake via hypolimnetic withdrawal and purificationSoila Silvonen, Juha Niemistö, Leena Nurminen, Anne-Mari Aurola, Ismo Malin, Matti Kotakorpi, Jukka Horppila, and Tom Jilbert
Hypolimnetic withdrawal (HW) is a restoration method for eutrophied lakes that aims to remove phosphorus (P) and other nutrients from the system. It is conventionally carried out by pumping or siphoning nutrient-rich bottom water to the discharge of the lake during periods of thermal stratification. However, there is growing interest in developing closed circuit modifications of HW in which nutrients could be captured and the purified water returned to the same lake. This would tackle some problematic aspects of conventional HW, and additionally enable the capture and recycling of P stored in lakes.
A pilot closed circuit HW system has been constructed at a eutrophic dimictic lake located in Southern Finland. This hypolimnetic withdrawal and purification circuit (HWPC) consists of a withdrawal pipe installed at the lake deep, a treatment and filtering unit on shore, and a wetland. In the treatment unit, P is first precipitated and then captured by sand filters, while the purified water flows subsequently through a wetland and finally back into the lake.
In the current study, we investigated the pool of potentially removable P in the study lake, the optimal timing of HW within the annual cycle, and the functioning of the HWPC. The P retention capacity of the purification unit and the composition of the precipitate trapped in the filters were both examined. The results showed that P accumulation in the near-bottom water of the study lake during thermal stratification is substantial, allowing significant amounts of P to be removed from the lake via HW. The concentration of total P of the water entering the HWPC was over 300 µg/L, of which the system captured more than 80%. The P content of the precipitate trapped in the filters varied between 6-12 g P/kg, and consisted of both iron and calcium-bound P phases. These results imply that it is possible to recover P accumulated in eutrophied lakes for potential recycling purposes.
How to cite: Silvonen, S., Niemistö, J., Nurminen, L., Aurola, A.-M., Malin, I., Kotakorpi, M., Horppila, J., and Jilbert, T.: Recovering P from a eutrophic lake via hypolimnetic withdrawal and purification, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12974, https://doi.org/10.5194/egusphere-egu2020-12974, 2020.
Hypolimnetic withdrawal (HW) is a restoration method for eutrophied lakes that aims to remove phosphorus (P) and other nutrients from the system. It is conventionally carried out by pumping or siphoning nutrient-rich bottom water to the discharge of the lake during periods of thermal stratification. However, there is growing interest in developing closed circuit modifications of HW in which nutrients could be captured and the purified water returned to the same lake. This would tackle some problematic aspects of conventional HW, and additionally enable the capture and recycling of P stored in lakes.
A pilot closed circuit HW system has been constructed at a eutrophic dimictic lake located in Southern Finland. This hypolimnetic withdrawal and purification circuit (HWPC) consists of a withdrawal pipe installed at the lake deep, a treatment and filtering unit on shore, and a wetland. In the treatment unit, P is first precipitated and then captured by sand filters, while the purified water flows subsequently through a wetland and finally back into the lake.
In the current study, we investigated the pool of potentially removable P in the study lake, the optimal timing of HW within the annual cycle, and the functioning of the HWPC. The P retention capacity of the purification unit and the composition of the precipitate trapped in the filters were both examined. The results showed that P accumulation in the near-bottom water of the study lake during thermal stratification is substantial, allowing significant amounts of P to be removed from the lake via HW. The concentration of total P of the water entering the HWPC was over 300 µg/L, of which the system captured more than 80%. The P content of the precipitate trapped in the filters varied between 6-12 g P/kg, and consisted of both iron and calcium-bound P phases. These results imply that it is possible to recover P accumulated in eutrophied lakes for potential recycling purposes.
How to cite: Silvonen, S., Niemistö, J., Nurminen, L., Aurola, A.-M., Malin, I., Kotakorpi, M., Horppila, J., and Jilbert, T.: Recovering P from a eutrophic lake via hypolimnetic withdrawal and purification, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12974, https://doi.org/10.5194/egusphere-egu2020-12974, 2020.
EGU2020-16112 | Displays | BG1.7
The exchange of inorganic phosphorus between soil solution and matrix might largely affect the model predictions of terrestrial carbon cycleLin Yu, Bernhard Ahrens, Thomas Wutzler, Marion Schrumpf, Julian Helfenstein, Chiara Pistocchi, and Sönke Zaehle
Phosphorus (P) availability may influence the response of terrestrial ecosystems to environmental and climate change. Soil biogeochemical (organic) and geophysical (inorganic) P cycling processes are the key players in this regulation. There has been a continuous effort to include P cycling processes into terrestrial biosphere models (TBMs) and many modelling studies agreed on the significance of organic P cycling processes to terrestrial ecosystems. However, the role of inorganic P cycling processes remains unclear. Although the model representations of inorganic P cycling in most TBMs are similar, their parameterisations differ greatly, and none of TBMs have been validated against soil P measurements.
In this study, we developed a new algorithm based on the two-surface Langmuir isotherm to describe the inorganic P exchange between soil solution and soil matrix in the QUINCY TBM, and tested both the novel and conventional models at five beech forest sites in Germany along a soil P stock gradient, which are the main study sites of the German Research Foundation (DFG) funded priority programme 1685.
We conducted a literature review on Langmuir P sorption parameters, which indicates that the P sorption capacity (Smax) is strongly correlated with soil texture and the Langmuir coefficient (km) is strongly correlated with soil pH and organic matter (OM) content. We divided soil P sorption sites into the OM-rich clay and silty sites and OM-poor sandy sites and extracted empirical equations to calculate their Smax and km.
The two-surface Langmuir isotherm approach was implemented to QUINCY, and both the novel and conventional (one-surface Langmuir isotherm) models were applied to the study sites. The models were evaluated with observed soil inorganic P fractionations, foliar N and P contents, and normalized vegetation carbon (C) without calibration. The novel model significantly improved the goodness of model fit to P fractionation measurements at all sites. Both models were able to adequately capture the observed foliar N and P contents, but only the novel one reproduced the observed pattern of vegetation C along the soil P gradient.
We further tested the effect of both models on the responses to CO2 addition, P addition and C&P addition at all study sites. The conventional model showed stronger ecosystem responses to P and C&P additions than the two-surface Langmuir one, especially at P-poor sites. It is probably due to that plants store more added P in the conventional model than the novel one. We also tested the sensitivity of both models to the P cycling parameterisation at one low-P site. Despite better model fit to the observed soil P fractionation, the novel model also produced higher and more robust gross primary production, foliar P content and vegetation C than the conventional one.
In summary, we showed that the two-surface Langmuir isotherm approach adequately reproduced the observed soil P fractionations and the pattern of vegetation C along a soil P gradient, owing to its better representation of inorganic P cycling and thus C-P interactions, particularly at low-P ecosystems.
How to cite: Yu, L., Ahrens, B., Wutzler, T., Schrumpf, M., Helfenstein, J., Pistocchi, C., and Zaehle, S.: The exchange of inorganic phosphorus between soil solution and matrix might largely affect the model predictions of terrestrial carbon cycle, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-16112, https://doi.org/10.5194/egusphere-egu2020-16112, 2020.
Phosphorus (P) availability may influence the response of terrestrial ecosystems to environmental and climate change. Soil biogeochemical (organic) and geophysical (inorganic) P cycling processes are the key players in this regulation. There has been a continuous effort to include P cycling processes into terrestrial biosphere models (TBMs) and many modelling studies agreed on the significance of organic P cycling processes to terrestrial ecosystems. However, the role of inorganic P cycling processes remains unclear. Although the model representations of inorganic P cycling in most TBMs are similar, their parameterisations differ greatly, and none of TBMs have been validated against soil P measurements.
In this study, we developed a new algorithm based on the two-surface Langmuir isotherm to describe the inorganic P exchange between soil solution and soil matrix in the QUINCY TBM, and tested both the novel and conventional models at five beech forest sites in Germany along a soil P stock gradient, which are the main study sites of the German Research Foundation (DFG) funded priority programme 1685.
We conducted a literature review on Langmuir P sorption parameters, which indicates that the P sorption capacity (Smax) is strongly correlated with soil texture and the Langmuir coefficient (km) is strongly correlated with soil pH and organic matter (OM) content. We divided soil P sorption sites into the OM-rich clay and silty sites and OM-poor sandy sites and extracted empirical equations to calculate their Smax and km.
The two-surface Langmuir isotherm approach was implemented to QUINCY, and both the novel and conventional (one-surface Langmuir isotherm) models were applied to the study sites. The models were evaluated with observed soil inorganic P fractionations, foliar N and P contents, and normalized vegetation carbon (C) without calibration. The novel model significantly improved the goodness of model fit to P fractionation measurements at all sites. Both models were able to adequately capture the observed foliar N and P contents, but only the novel one reproduced the observed pattern of vegetation C along the soil P gradient.
We further tested the effect of both models on the responses to CO2 addition, P addition and C&P addition at all study sites. The conventional model showed stronger ecosystem responses to P and C&P additions than the two-surface Langmuir one, especially at P-poor sites. It is probably due to that plants store more added P in the conventional model than the novel one. We also tested the sensitivity of both models to the P cycling parameterisation at one low-P site. Despite better model fit to the observed soil P fractionation, the novel model also produced higher and more robust gross primary production, foliar P content and vegetation C than the conventional one.
In summary, we showed that the two-surface Langmuir isotherm approach adequately reproduced the observed soil P fractionations and the pattern of vegetation C along a soil P gradient, owing to its better representation of inorganic P cycling and thus C-P interactions, particularly at low-P ecosystems.
How to cite: Yu, L., Ahrens, B., Wutzler, T., Schrumpf, M., Helfenstein, J., Pistocchi, C., and Zaehle, S.: The exchange of inorganic phosphorus between soil solution and matrix might largely affect the model predictions of terrestrial carbon cycle, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-16112, https://doi.org/10.5194/egusphere-egu2020-16112, 2020.
EGU2020-16637 | Displays | BG1.7
Sedimentary phosphorus speciation dynamics following artificial eutrophication of Lake 227, Experimental Lakes Area, Ontario, CanadaDavid O'Connell, Nienke Ansems, Ravi Kukkadapu, Deb jaisi, Diane orihel, Barbara Cade-Menun, Yongfeng Hu, Johan Wiklund, Roland Hall, Hannah Chessell, Thilo Brehends, and Philippe Van Cappellen
Stringent environmental policies in many countries have played an extensive role in reducing external phosphorus (P) loading to lakes from agriculture and urban sources. Nonetheless, such reductions in external P loading to many eutrophic lakes have not resulted in the expected concurrent restitution of water quality. Such a delayed recovery of many lakes is blamed both on internal loading of legacy P from lake sediments (i.e., benthic recycling) and the amplification of such internal P loading processes due to the reduction in external P concentrations. Hence, a detailed process understanding of P cycling at the sediment-water interface (SWI) is critical to understand nutrient loading, water quality and associated effects on lake water quality. Much of the work on sedimentary P cycling has traditionally focused on inorganic processes of soluble phosphate, particularly sorption to metals (Fe, Mn, Al) oxyhydroxides and clays. However, there is increasing recognition that organic forms of P, along with interactions between phosphate and humic substances, also play a decisive role in controlling P fluxes between sediments and the overlying water column.
This study focused on gaining further understanding of the such processes through the collection of sediment cores from the oxygenated epilimnion and the mostly anoxic hypolimnion of Lake 227 of the Experimental Lakes Area (ELA) in Ontario, Canada. Since 1969, this unique experimental lake has been fertilized with phosphorus (P), which triggered a relatively rapid trophic transition from oligotrophic to eutrophic conditions. The cores contain a chronological record of changes in sediment burial rates and sediment P speciation across this trophic transition.
Interpretation of such changes was undertaken by coupling results of chemical extractions with 210Pb sediment dating, 31P NMR, XANES and Mössbauer spectroscopy. The major sedimentary P fraction prior to lake enrichment starting in 1969 was organic P (POrg). Fertilization of the lake in 1969 coincided with significant increases in the accumulation rate of sediment, total organic carbon (TOC) and total P (TP), in addition to a marked relative contribution of NaHCO3 extractable P. The combined proportion of PHum and POrg desposited since artificial fertilization in 1969 account for ≥70% of total P burial in the sediments. The anticipated composition of such PHum fractions was hypothesized to be ternary phosphate (PO4) complexes with humic substances. In support of this, the strong linear correlation between P and iron (Fe) extracted by NaHCO3 implies a close association of the two elements in the humic fraction. Furthermore, XANES and Mössbauer spectra indicate that most Fe in the post-1969 sediments is conserved in the +3 oxidation state, which may be ascribed to the stabilization of reducible Fe by organic matter, partially due to the formation of ternary PO4-Fe(III)-humic complexes. Our findings suggest the artificial eutrophication of Lake 227 resulted in the accelerated accumulation of a large sedimentary reservoir of reactive sediment P that may drive continued internal P loading to the water column following the cessation of artificial fertilization.
How to cite: O'Connell, D., Ansems, N., Kukkadapu, R., jaisi, D., orihel, D., Cade-Menun, B., Hu, Y., Wiklund, J., Hall, R., Chessell, H., Brehends, T., and Van Cappellen, P.: Sedimentary phosphorus speciation dynamics following artificial eutrophication of Lake 227, Experimental Lakes Area, Ontario, Canada, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-16637, https://doi.org/10.5194/egusphere-egu2020-16637, 2020.
Stringent environmental policies in many countries have played an extensive role in reducing external phosphorus (P) loading to lakes from agriculture and urban sources. Nonetheless, such reductions in external P loading to many eutrophic lakes have not resulted in the expected concurrent restitution of water quality. Such a delayed recovery of many lakes is blamed both on internal loading of legacy P from lake sediments (i.e., benthic recycling) and the amplification of such internal P loading processes due to the reduction in external P concentrations. Hence, a detailed process understanding of P cycling at the sediment-water interface (SWI) is critical to understand nutrient loading, water quality and associated effects on lake water quality. Much of the work on sedimentary P cycling has traditionally focused on inorganic processes of soluble phosphate, particularly sorption to metals (Fe, Mn, Al) oxyhydroxides and clays. However, there is increasing recognition that organic forms of P, along with interactions between phosphate and humic substances, also play a decisive role in controlling P fluxes between sediments and the overlying water column.
This study focused on gaining further understanding of the such processes through the collection of sediment cores from the oxygenated epilimnion and the mostly anoxic hypolimnion of Lake 227 of the Experimental Lakes Area (ELA) in Ontario, Canada. Since 1969, this unique experimental lake has been fertilized with phosphorus (P), which triggered a relatively rapid trophic transition from oligotrophic to eutrophic conditions. The cores contain a chronological record of changes in sediment burial rates and sediment P speciation across this trophic transition.
Interpretation of such changes was undertaken by coupling results of chemical extractions with 210Pb sediment dating, 31P NMR, XANES and Mössbauer spectroscopy. The major sedimentary P fraction prior to lake enrichment starting in 1969 was organic P (POrg). Fertilization of the lake in 1969 coincided with significant increases in the accumulation rate of sediment, total organic carbon (TOC) and total P (TP), in addition to a marked relative contribution of NaHCO3 extractable P. The combined proportion of PHum and POrg desposited since artificial fertilization in 1969 account for ≥70% of total P burial in the sediments. The anticipated composition of such PHum fractions was hypothesized to be ternary phosphate (PO4) complexes with humic substances. In support of this, the strong linear correlation between P and iron (Fe) extracted by NaHCO3 implies a close association of the two elements in the humic fraction. Furthermore, XANES and Mössbauer spectra indicate that most Fe in the post-1969 sediments is conserved in the +3 oxidation state, which may be ascribed to the stabilization of reducible Fe by organic matter, partially due to the formation of ternary PO4-Fe(III)-humic complexes. Our findings suggest the artificial eutrophication of Lake 227 resulted in the accelerated accumulation of a large sedimentary reservoir of reactive sediment P that may drive continued internal P loading to the water column following the cessation of artificial fertilization.
How to cite: O'Connell, D., Ansems, N., Kukkadapu, R., jaisi, D., orihel, D., Cade-Menun, B., Hu, Y., Wiklund, J., Hall, R., Chessell, H., Brehends, T., and Van Cappellen, P.: Sedimentary phosphorus speciation dynamics following artificial eutrophication of Lake 227, Experimental Lakes Area, Ontario, Canada, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-16637, https://doi.org/10.5194/egusphere-egu2020-16637, 2020.
EGU2020-18193 | Displays | BG1.7
Interaction with phosphate alters the environmental behavior of iron minerals: double eutrophication trouble?Peter Kraal, Thilo Behrends, Case van Genuchten, and Wytze Lenstra
Iron (oxyhydr)oxides (FeOx) such as ferrihydrite (Fh) and lepidocrocite (Lp) control the mobility of trace elements, contaminants and nutrients such as phosphorus (P) in aquatic systems. Conversely, the sorption of P can alter the structure and reactivity of FeOx. As such, elevated P concentrations in eutrophic, coastal aquatic systems may have far-reaching but currently poorly understood consequences for coupled Fe-nutrient cycling. Here, we present laboratory and field experiments to elucidate the effects of P incorporation on (i) FeOx structure and reactivity and (2) environmental FeOx transformations (crystallization, sulfidation). The structure of the FeOx, synthesized in the absence or presence of P (‘pure’ or ‘P-bearing’ respectively), was probed with synchrotron-based methods (X-ray absorption spectroscopy, high-energy X-ray scattering). Laboratory-based acidic and reductive dissolution experiments (abiotic and microbial) with pure and P-bearing FeOx were combined with novel in-situ field experimentation. The field experiments, which were conducted in freshwater and marine aquatic systems, involved gel-based diffusive samplers loaded with pure and P-bearing FeOx (Fh and Lp) to obtain detailed insight into FeOx chemistry and structure without interference from the sediment matrix. Results from FeOx synthesis experiments showed differences in the impact of P incorporation between FeOx. Ferrihydrite underwent only minor structural changes because of P sorption, yet these changes significantly destabilized the mineral, as evidenced by enhanced rates of reduction and dissolution. Incorporation of P during Lp formation resulted in FeOx precipitate that was significantly less structured than pure Lp. Field experiments in Fe(II)-rich freshwater sediment conducted with Fh showed relatively slow crystallization rates for Fh compared to published laboratory studies. This likely was the result of FeOx surface passivation by adsorption of pore-water P. In H2S-rich sediment, the degree of sulfidation was higher for P-bearing Fh compared to pure Fh, while the opposite was observed for pure and P-bearing Lp. These findings may be related to differences in electron transfer characteristics and surface reactions with sulfide between Fh and Lp. The novel field experiments provide detailed insight into natural FeOx dynamics in relation to environmental conditions. Decreased stability of FeOx formed in the presence of high nutrient concentrations, leading to less efficient retention of these nutrients, may represent an important feedback mechanism in eutrophication.
How to cite: Kraal, P., Behrends, T., van Genuchten, C., and Lenstra, W.: Interaction with phosphate alters the environmental behavior of iron minerals: double eutrophication trouble?, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18193, https://doi.org/10.5194/egusphere-egu2020-18193, 2020.
Iron (oxyhydr)oxides (FeOx) such as ferrihydrite (Fh) and lepidocrocite (Lp) control the mobility of trace elements, contaminants and nutrients such as phosphorus (P) in aquatic systems. Conversely, the sorption of P can alter the structure and reactivity of FeOx. As such, elevated P concentrations in eutrophic, coastal aquatic systems may have far-reaching but currently poorly understood consequences for coupled Fe-nutrient cycling. Here, we present laboratory and field experiments to elucidate the effects of P incorporation on (i) FeOx structure and reactivity and (2) environmental FeOx transformations (crystallization, sulfidation). The structure of the FeOx, synthesized in the absence or presence of P (‘pure’ or ‘P-bearing’ respectively), was probed with synchrotron-based methods (X-ray absorption spectroscopy, high-energy X-ray scattering). Laboratory-based acidic and reductive dissolution experiments (abiotic and microbial) with pure and P-bearing FeOx were combined with novel in-situ field experimentation. The field experiments, which were conducted in freshwater and marine aquatic systems, involved gel-based diffusive samplers loaded with pure and P-bearing FeOx (Fh and Lp) to obtain detailed insight into FeOx chemistry and structure without interference from the sediment matrix. Results from FeOx synthesis experiments showed differences in the impact of P incorporation between FeOx. Ferrihydrite underwent only minor structural changes because of P sorption, yet these changes significantly destabilized the mineral, as evidenced by enhanced rates of reduction and dissolution. Incorporation of P during Lp formation resulted in FeOx precipitate that was significantly less structured than pure Lp. Field experiments in Fe(II)-rich freshwater sediment conducted with Fh showed relatively slow crystallization rates for Fh compared to published laboratory studies. This likely was the result of FeOx surface passivation by adsorption of pore-water P. In H2S-rich sediment, the degree of sulfidation was higher for P-bearing Fh compared to pure Fh, while the opposite was observed for pure and P-bearing Lp. These findings may be related to differences in electron transfer characteristics and surface reactions with sulfide between Fh and Lp. The novel field experiments provide detailed insight into natural FeOx dynamics in relation to environmental conditions. Decreased stability of FeOx formed in the presence of high nutrient concentrations, leading to less efficient retention of these nutrients, may represent an important feedback mechanism in eutrophication.
How to cite: Kraal, P., Behrends, T., van Genuchten, C., and Lenstra, W.: Interaction with phosphate alters the environmental behavior of iron minerals: double eutrophication trouble?, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18193, https://doi.org/10.5194/egusphere-egu2020-18193, 2020.
EGU2020-18863 | Displays | BG1.7
The potential of Sorghum landraces to overcome P and water limitationSara Halicki, Eva Maria Görk, Anna Sauer, Kintala Sudhabindu, Lalitha Kumari Erugoti, Jana Kholova, Mutez Ali Ahmed, and Michaela Anna Dippold
Crop production in semi-arid regions is often affected by nutrient (N and P) and water deficiency. Hence, crop selection and cropping sequences are mainly influenced by the water supply during the rainy season, which underlies severe annual fluctuations. Under these conditions sorghum cultivation is common practice in smallholder farming systems due to its high potential to cope with water scarcity.
To examine the adaptation potential of sorghum (Sorghum bicolor L. Moench) to water and P stress, we measured transpiration and N uptake of five different sorghum lines (two Indian sorghum landraces, two African landraces and an Indian elite line) under the impact of organic (cowpea root residues) and mineral N-15 inputs. The plants were cultivated in either a P depleted (100 mg P kg-1 soil) or P enriched (320 mg P kg-1) Alfisol with a well-watered (WW) or water-stressed (WS) treatment. The experiment was carried out in the lysimetric phenotyping system (ICRISAT, India).
Cowpea labelling was carried out by injecting liquid N-15-label into the plant stem on a weekly basis over the growth period to ensure a homogeneous N-15 distribution in all parts of the plant. Mineral N-15-label was applied after soil saturation on the soil surface approximately two weeks after sorghum sowing to ensure no leakage of the tracer. The sorghum growth period was from middle of September 2018 till beginning of February 2019.
Under WW conditions, the sorghum lines showed different transpiration rates irrespectively of the P supply, whereas biomass and yield production was affected positively by P supply and organic residues. All sorghum lines had reduced transpiration rates, biomass and yield production under WS conditions. However, the African landraces were less susceptible to water stress than the Indian lines and could still produce yield and biomass. Furthermore, N delivery from cowpea residues could be proven in all treatments, while an efficient water supply had a positive impact on the N uptake from residues.
Overall an efficient P supply had only a positive influence on sorghum biomass and yield in interactions with a sufficient water supply or crop residues.
We can conclude that yield and biomass production of sorghum is not only dependent on transpiration rates. The potential to overcome water stress is enhanced for landraces and most properly belowground traits can explain the variation. Furthermore, we could demonstrate that all sorghum lines used biopores at both P levels to cover part of their N demand from cowpea residues.
In this experiment, African landraces showed improved drought adaptation mechanisms compared to the bread elite line. Further soil and plant analysis will unravel the underlying traits such as improved mycorrhization, root morphology or nutrient uptake.
How to cite: Halicki, S., Görk, E. M., Sauer, A., Sudhabindu, K., Erugoti, L. K., Kholova, J., Ahmed, M. A., and Dippold, M. A.: The potential of Sorghum landraces to overcome P and water limitation, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18863, https://doi.org/10.5194/egusphere-egu2020-18863, 2020.
Crop production in semi-arid regions is often affected by nutrient (N and P) and water deficiency. Hence, crop selection and cropping sequences are mainly influenced by the water supply during the rainy season, which underlies severe annual fluctuations. Under these conditions sorghum cultivation is common practice in smallholder farming systems due to its high potential to cope with water scarcity.
To examine the adaptation potential of sorghum (Sorghum bicolor L. Moench) to water and P stress, we measured transpiration and N uptake of five different sorghum lines (two Indian sorghum landraces, two African landraces and an Indian elite line) under the impact of organic (cowpea root residues) and mineral N-15 inputs. The plants were cultivated in either a P depleted (100 mg P kg-1 soil) or P enriched (320 mg P kg-1) Alfisol with a well-watered (WW) or water-stressed (WS) treatment. The experiment was carried out in the lysimetric phenotyping system (ICRISAT, India).
Cowpea labelling was carried out by injecting liquid N-15-label into the plant stem on a weekly basis over the growth period to ensure a homogeneous N-15 distribution in all parts of the plant. Mineral N-15-label was applied after soil saturation on the soil surface approximately two weeks after sorghum sowing to ensure no leakage of the tracer. The sorghum growth period was from middle of September 2018 till beginning of February 2019.
Under WW conditions, the sorghum lines showed different transpiration rates irrespectively of the P supply, whereas biomass and yield production was affected positively by P supply and organic residues. All sorghum lines had reduced transpiration rates, biomass and yield production under WS conditions. However, the African landraces were less susceptible to water stress than the Indian lines and could still produce yield and biomass. Furthermore, N delivery from cowpea residues could be proven in all treatments, while an efficient water supply had a positive impact on the N uptake from residues.
Overall an efficient P supply had only a positive influence on sorghum biomass and yield in interactions with a sufficient water supply or crop residues.
We can conclude that yield and biomass production of sorghum is not only dependent on transpiration rates. The potential to overcome water stress is enhanced for landraces and most properly belowground traits can explain the variation. Furthermore, we could demonstrate that all sorghum lines used biopores at both P levels to cover part of their N demand from cowpea residues.
In this experiment, African landraces showed improved drought adaptation mechanisms compared to the bread elite line. Further soil and plant analysis will unravel the underlying traits such as improved mycorrhization, root morphology or nutrient uptake.
How to cite: Halicki, S., Görk, E. M., Sauer, A., Sudhabindu, K., Erugoti, L. K., Kholova, J., Ahmed, M. A., and Dippold, M. A.: The potential of Sorghum landraces to overcome P and water limitation, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18863, https://doi.org/10.5194/egusphere-egu2020-18863, 2020.
EGU2020-19920 | Displays | BG1.7
The effects of soil drying and rewetting history on phosphorus solubilisation and growth of maize (Zea mays) under contrasting agricultural soils in ChinaNyamdavaa Mongol
The effects of soil drying and rewetting history on phosphorus solubilisation and growth of maize (Zea mays) under contrasting agricultural soils in China
Nyamdavaa Mongol1,2, Jianbo Shen2, Philip M. Haygarth1
1Lancaster Environmental Centre, Lancaster University, Lancaster, LA1 4YW, United Kingdom.
2Department of Plant Nutrition, China Agriculture University, Key Laboratory of Plant-Soil Interactions, Beijing 100193, PR China
Abstract
This paper tested the hypothesis that agricultural soils with a recent history of drying and rewetting (DRW) can trigger P solubilisation in the rhizosphere and a subsequent growth response of maize (Zea mays). Specifically, it aimed at investigating a possible delayed effect of soil DRW stresses by studying P solubilisation in the rhizosphere, plant P acquisition and performance, and root growth, all under the previous history of series of DRW events, combined with different types of agricultural soils of varied texture and pH. The soils were collected from four different agricultural regions of China, Shandong, Chongqing, Heilongjiang and Beijing, treated with four varying cycles of DRW events prior to the experiment, to raise levels of soil biotic and abiotic activities and potential development of maize growth. A controlled small pot experiment was conducted to establish the Olsen P in the soil, maize shoot P concentrations, root morphology and other rhizosphere parameters, for the duration of 43 days after planting. The results show a positive relationship between plant biomass, plant P concentration, and Olsen P. The effect was most clearly demonstrated by growth of plants and their biological performance in the rhizosphere, as the plants responded better in the soil with a DRW background than a soil that did not have a history of DRW in the past. However, the soluble P concentration and plant growth response varied depending on soil types and P application rates, and the most positive was under Haplic Phaeozems soil from Heilongjiang, leading to an acceptance of hypothesis.
How to cite: Mongol, N.: The effects of soil drying and rewetting history on phosphorus solubilisation and growth of maize (Zea mays) under contrasting agricultural soils in China, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19920, https://doi.org/10.5194/egusphere-egu2020-19920, 2020.
The effects of soil drying and rewetting history on phosphorus solubilisation and growth of maize (Zea mays) under contrasting agricultural soils in China
Nyamdavaa Mongol1,2, Jianbo Shen2, Philip M. Haygarth1
1Lancaster Environmental Centre, Lancaster University, Lancaster, LA1 4YW, United Kingdom.
2Department of Plant Nutrition, China Agriculture University, Key Laboratory of Plant-Soil Interactions, Beijing 100193, PR China
Abstract
This paper tested the hypothesis that agricultural soils with a recent history of drying and rewetting (DRW) can trigger P solubilisation in the rhizosphere and a subsequent growth response of maize (Zea mays). Specifically, it aimed at investigating a possible delayed effect of soil DRW stresses by studying P solubilisation in the rhizosphere, plant P acquisition and performance, and root growth, all under the previous history of series of DRW events, combined with different types of agricultural soils of varied texture and pH. The soils were collected from four different agricultural regions of China, Shandong, Chongqing, Heilongjiang and Beijing, treated with four varying cycles of DRW events prior to the experiment, to raise levels of soil biotic and abiotic activities and potential development of maize growth. A controlled small pot experiment was conducted to establish the Olsen P in the soil, maize shoot P concentrations, root morphology and other rhizosphere parameters, for the duration of 43 days after planting. The results show a positive relationship between plant biomass, plant P concentration, and Olsen P. The effect was most clearly demonstrated by growth of plants and their biological performance in the rhizosphere, as the plants responded better in the soil with a DRW background than a soil that did not have a history of DRW in the past. However, the soluble P concentration and plant growth response varied depending on soil types and P application rates, and the most positive was under Haplic Phaeozems soil from Heilongjiang, leading to an acceptance of hypothesis.
How to cite: Mongol, N.: The effects of soil drying and rewetting history on phosphorus solubilisation and growth of maize (Zea mays) under contrasting agricultural soils in China, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19920, https://doi.org/10.5194/egusphere-egu2020-19920, 2020.
EGU2020-20474 | Displays | BG1.7
Competitive divalent cation incorporation in the ferrous phosphate mineral vivianiteL. Joëlle Kubeneck, Laurel K. ThomasArrigo, Katherine A. Rothwell, and Ruben Kretzschmar
Phosphorus (P) is often a limiting nutrient in soils and aquatic systems, but excessive concentrations can lead to eutrophication. The chemical forms in which P is retained in soils and sediments determine its bioavailability. Under reducing conditions, the ferrous phosphate mineral vivianite has been shown to be a major P burial phase in various environments such as coastal sediments. Depending on the local environmental geochemistry, ferrous iron (Fe2+) can be substituted by other divalent cations such as magnesium (Mg2+) and manganese (Mn2+). The substitution of Fe2+ could alter mineralogical characteristics of vivianite, which influences its further reactivity and thus the P and iron (Fe) cycle. Despite the importance of divalent cation substitution in vivianite in the environment, questions remain if certain divalent cations are preferentially incorporated and how they compete for substitution.
Here, we assessed the competitive incorporation of Mn2+ and Mg2+ into vivianite by carrying out vivianite precipitation experiments in anoxic aqueous solutions at pH 7. Additionally, we explored how varying salinity simulating an estuarine gradient influences the incorporation of Mn2+ and Mg2+. Changes in mineralogy with different degrees of Mn2+/ Mg2+ substitution were studied with X-ray powder diffraction, Raman spectroscopy, total elemental dissolution and other techniques.
Based on 19 different vivianites, our results demonstrate that Fe2+ is replaced by up to 50% by Mn2+/ Mg2+ in the vivianite structure, with preferential incorporation of Mn2+ over Mg2+. Increases in salinity seem to slightly enhance divalent cation incorporation. Following from our results, we will discuss the factors influencing divalent cation incorporation into vivianite, and how divalent cation substitution alters mineralogical characteristics. Finally, we will highlight how the substitution of Fe2+ by other divalent cations potentially enhances P fixation in form of vivianite under Fe-limiting conditions.
How to cite: Kubeneck, L. J., ThomasArrigo, L. K., Rothwell, K. A., and Kretzschmar, R.: Competitive divalent cation incorporation in the ferrous phosphate mineral vivianite, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20474, https://doi.org/10.5194/egusphere-egu2020-20474, 2020.
Phosphorus (P) is often a limiting nutrient in soils and aquatic systems, but excessive concentrations can lead to eutrophication. The chemical forms in which P is retained in soils and sediments determine its bioavailability. Under reducing conditions, the ferrous phosphate mineral vivianite has been shown to be a major P burial phase in various environments such as coastal sediments. Depending on the local environmental geochemistry, ferrous iron (Fe2+) can be substituted by other divalent cations such as magnesium (Mg2+) and manganese (Mn2+). The substitution of Fe2+ could alter mineralogical characteristics of vivianite, which influences its further reactivity and thus the P and iron (Fe) cycle. Despite the importance of divalent cation substitution in vivianite in the environment, questions remain if certain divalent cations are preferentially incorporated and how they compete for substitution.
Here, we assessed the competitive incorporation of Mn2+ and Mg2+ into vivianite by carrying out vivianite precipitation experiments in anoxic aqueous solutions at pH 7. Additionally, we explored how varying salinity simulating an estuarine gradient influences the incorporation of Mn2+ and Mg2+. Changes in mineralogy with different degrees of Mn2+/ Mg2+ substitution were studied with X-ray powder diffraction, Raman spectroscopy, total elemental dissolution and other techniques.
Based on 19 different vivianites, our results demonstrate that Fe2+ is replaced by up to 50% by Mn2+/ Mg2+ in the vivianite structure, with preferential incorporation of Mn2+ over Mg2+. Increases in salinity seem to slightly enhance divalent cation incorporation. Following from our results, we will discuss the factors influencing divalent cation incorporation into vivianite, and how divalent cation substitution alters mineralogical characteristics. Finally, we will highlight how the substitution of Fe2+ by other divalent cations potentially enhances P fixation in form of vivianite under Fe-limiting conditions.
How to cite: Kubeneck, L. J., ThomasArrigo, L. K., Rothwell, K. A., and Kretzschmar, R.: Competitive divalent cation incorporation in the ferrous phosphate mineral vivianite, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20474, https://doi.org/10.5194/egusphere-egu2020-20474, 2020.
EGU2020-20652 | Displays | BG1.7
A 150-year phosphorus budget for the Thames catchment, UKNicholas Howden, Fred Worrall, Tim Burt, Helen Jarvie, and Francesca Pianosi
Phosphorus (P) is critical for food production but rising P inputs to agricultural land have contributed to eutrophication of fresh and marine waters. Concurrently, wastewater effluent from increasing populations has also become a major P input to natural waters, particularly in urbanised catchments. This study considers the long-term phosphorus budget of the River Thames catchment from 1867 to the present. We combine databases of agricultural land use, human population and river monitoring to develop a phosphorus budget model for the gauged catchment area (9,948 km2) and identify key inputs, outputs and transfers over the period. We quantify P imports and exports of fertilizer, food, feedstuffs, and industrial products (1867-2017), along with direct discharge of fluvial P at the tidal limit (1936-2017).
Net P input to land from animal production was essentially stable at ~1,700 tonnes P until 1940, after which there was a steady rise, peaking at approximately 3,800 tonnes P in the early 1970s. Since then, P inputs to land have fallen to a current stable level of ~2,200 tonnes P. This represents a cumulative net input to land of 350 kT P since 1867. Whilst this input is somewhat counterbalanced by losses to the fluvial system and crop harvest, there is nevertheless a large P legacy in catchment soils.
Net inputs from wastewater (urine and faeces) rose steadily from 0.8 kT in 1936 to 2 kT in 2010, whilst the marked change occurred in relation to P in detergents rising from zero in 1950 to a peak of ~2kT in 1987, since when there has been a gradual decline to <1 kT at present. The total wastewater effluent contribution rose from 0.8 kT in 1936 to a peak of 3.4 kT at the end of the 1980s. The Urban Waste Water Treatment Directive (91/271/EEC) enforced enhanced removal of P in wastewater from the early 1990s, which led to an immediate, sharp decrease in wastewater contribution of 1 kT P since when there has been a steady decline to 0.4 kT at present. This has shifted the environmental pathway of wastewater P from discharge to rivers to accumulation in sludge which is now largely disposed of by application to agricultural land thus adding to the P legacy in catchment soils.
Our analysis of the Thames P budget will end with a discussion of uncertainties in the P model, and the sensitivity of our overall conclusions to assumptions about model structure and parameters applied to our historical records.
How to cite: Howden, N., Worrall, F., Burt, T., Jarvie, H., and Pianosi, F.: A 150-year phosphorus budget for the Thames catchment, UK, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20652, https://doi.org/10.5194/egusphere-egu2020-20652, 2020.
Phosphorus (P) is critical for food production but rising P inputs to agricultural land have contributed to eutrophication of fresh and marine waters. Concurrently, wastewater effluent from increasing populations has also become a major P input to natural waters, particularly in urbanised catchments. This study considers the long-term phosphorus budget of the River Thames catchment from 1867 to the present. We combine databases of agricultural land use, human population and river monitoring to develop a phosphorus budget model for the gauged catchment area (9,948 km2) and identify key inputs, outputs and transfers over the period. We quantify P imports and exports of fertilizer, food, feedstuffs, and industrial products (1867-2017), along with direct discharge of fluvial P at the tidal limit (1936-2017).
Net P input to land from animal production was essentially stable at ~1,700 tonnes P until 1940, after which there was a steady rise, peaking at approximately 3,800 tonnes P in the early 1970s. Since then, P inputs to land have fallen to a current stable level of ~2,200 tonnes P. This represents a cumulative net input to land of 350 kT P since 1867. Whilst this input is somewhat counterbalanced by losses to the fluvial system and crop harvest, there is nevertheless a large P legacy in catchment soils.
Net inputs from wastewater (urine and faeces) rose steadily from 0.8 kT in 1936 to 2 kT in 2010, whilst the marked change occurred in relation to P in detergents rising from zero in 1950 to a peak of ~2kT in 1987, since when there has been a gradual decline to <1 kT at present. The total wastewater effluent contribution rose from 0.8 kT in 1936 to a peak of 3.4 kT at the end of the 1980s. The Urban Waste Water Treatment Directive (91/271/EEC) enforced enhanced removal of P in wastewater from the early 1990s, which led to an immediate, sharp decrease in wastewater contribution of 1 kT P since when there has been a steady decline to 0.4 kT at present. This has shifted the environmental pathway of wastewater P from discharge to rivers to accumulation in sludge which is now largely disposed of by application to agricultural land thus adding to the P legacy in catchment soils.
Our analysis of the Thames P budget will end with a discussion of uncertainties in the P model, and the sensitivity of our overall conclusions to assumptions about model structure and parameters applied to our historical records.
How to cite: Howden, N., Worrall, F., Burt, T., Jarvie, H., and Pianosi, F.: A 150-year phosphorus budget for the Thames catchment, UK, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20652, https://doi.org/10.5194/egusphere-egu2020-20652, 2020.
EGU2020-21600 | Displays | BG1.7 | Highlight
Run4Life project: A step forward in NPK recovery from source-separated wastewaters.Gemma Torres Sallan, Eduard Borras, Martí Aliaguilla, Daniele Molognoni, Sonia Sanchis, Miriam van-Eekert, Merijn Moerland, Daniel Todt, Paraschos Chatzopoulos, Brendo Meulman, Hamse Kjerstadius, Lieven Demolder, Peter de-Smet, and Nicolas Morales
Domestic wastewater (WW) is an important carrier of nutrients usually wasted away by current centralised sewage treatment plants. The Run4Life project proposes an alternative strategy for increasing circularity of WW treatment systems and improving nutrient recovery rates and material qualities. This is based on a decentralised treatment of segregated black water (BW), kitchen waste and grey water combining existing and innovative technologies.
Run4Life is currently improving innovative nutrient recovery technologies, these being: (i) an ultra-low flush vacuum toilet, which uses around 0.5L/flush, thus less water than conventional vacuum toilets, allowing concentration of BW compared to conventional toilets and vacuum toilets. (ii) Bio-electrochemical systems for nitrogen recovery, which recovers up to 12.8 g/m2*d of Nitrogen present in blackwater as liquid fertilizer (ammonium nitrate) iii) (Hyper-)thermophilic anaerobic digestion, which aims to recover the phosphorous and nitrogen in the hygienised effluent in a one-step treatment and ready for use as fertilisers.
Nutrient recycling technologies from domestic WW are demonstrated at large scale in four demonstration sites where decentralised WW treatment systems are implemented: Ghent (Belgium, 430 houses), Helsingborg (Sweden, 320 apartments), Sneek (The Netherlands, 32 houses), and Vigo (Spain, 1 office building). This will result in solid and liquid NPK fertilizers being recovered in the form of struvite, ammonium nitrate, calcium phosphate, organic fertilizers and reclaimed water.
The environmental, economic and societal impact of the obtained fertilizers is being tested by means of ecotoxicology tests, pot experiments, field trials, and by a selection of key performance indicators based on European, national and regional legislation present in the four different countries. Life cycle assessments are being performed for each technology and demonstration site, and active measures such as knowledge brokerage activities are being developed as an engagement strategy to advocate the institutional, legal and social acceptance of the Run4Life nutrient recovery technologies and fertilizers produced. In addition, new business models which can benefit from the Run4Life project are currently being assessed.
It is expected that, by the end of the project, more than 90% of the water will be reused, and that nutrient recovery rates will achieve 100%.
How to cite: Torres Sallan, G., Borras, E., Aliaguilla, M., Molognoni, D., Sanchis, S., van-Eekert, M., Moerland, M., Todt, D., Chatzopoulos, P., Meulman, B., Kjerstadius, H., Demolder, L., de-Smet, P., and Morales, N.: Run4Life project: A step forward in NPK recovery from source-separated wastewaters., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21600, https://doi.org/10.5194/egusphere-egu2020-21600, 2020.
Domestic wastewater (WW) is an important carrier of nutrients usually wasted away by current centralised sewage treatment plants. The Run4Life project proposes an alternative strategy for increasing circularity of WW treatment systems and improving nutrient recovery rates and material qualities. This is based on a decentralised treatment of segregated black water (BW), kitchen waste and grey water combining existing and innovative technologies.
Run4Life is currently improving innovative nutrient recovery technologies, these being: (i) an ultra-low flush vacuum toilet, which uses around 0.5L/flush, thus less water than conventional vacuum toilets, allowing concentration of BW compared to conventional toilets and vacuum toilets. (ii) Bio-electrochemical systems for nitrogen recovery, which recovers up to 12.8 g/m2*d of Nitrogen present in blackwater as liquid fertilizer (ammonium nitrate) iii) (Hyper-)thermophilic anaerobic digestion, which aims to recover the phosphorous and nitrogen in the hygienised effluent in a one-step treatment and ready for use as fertilisers.
Nutrient recycling technologies from domestic WW are demonstrated at large scale in four demonstration sites where decentralised WW treatment systems are implemented: Ghent (Belgium, 430 houses), Helsingborg (Sweden, 320 apartments), Sneek (The Netherlands, 32 houses), and Vigo (Spain, 1 office building). This will result in solid and liquid NPK fertilizers being recovered in the form of struvite, ammonium nitrate, calcium phosphate, organic fertilizers and reclaimed water.
The environmental, economic and societal impact of the obtained fertilizers is being tested by means of ecotoxicology tests, pot experiments, field trials, and by a selection of key performance indicators based on European, national and regional legislation present in the four different countries. Life cycle assessments are being performed for each technology and demonstration site, and active measures such as knowledge brokerage activities are being developed as an engagement strategy to advocate the institutional, legal and social acceptance of the Run4Life nutrient recovery technologies and fertilizers produced. In addition, new business models which can benefit from the Run4Life project are currently being assessed.
It is expected that, by the end of the project, more than 90% of the water will be reused, and that nutrient recovery rates will achieve 100%.
How to cite: Torres Sallan, G., Borras, E., Aliaguilla, M., Molognoni, D., Sanchis, S., van-Eekert, M., Moerland, M., Todt, D., Chatzopoulos, P., Meulman, B., Kjerstadius, H., Demolder, L., de-Smet, P., and Morales, N.: Run4Life project: A step forward in NPK recovery from source-separated wastewaters., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21600, https://doi.org/10.5194/egusphere-egu2020-21600, 2020.
BG2.1 – Stable isotopes and novel tracers in biogeochemical and atmospheric research
EGU2020-5961 | Displays | BG2.1 | Highlight
Triple isotopic composition of oxygen in water and dioxygen during deglaciations recorded in the EPICA Dome C ice core to link climate, biosphere productivity and water cycleAmaelle Landais, Ji-Woong Yang, Nicolas Pasquier, Antoine Grisart, Margaux Brandon, Thomas Extier, Frédéric Prié, Bénédicte Minster, Clément Piel, Joana Sauze, Alexandru Milcu, Barbara Stenni, and Thomas Blunier
High precision measurements of triple isotopic composition of oxygen in water is a useful tool to infer the dynamic of past hydrological cycle when measured in ice core together with δ18O and δD. In particular, the triple isotopic composition of oxygen in water provides information on the climatic conditions of the evaporative sources. In parallel, it has been shown that the triple isotopic composition of oxygen in the atmospheric dioxygen can be a useful tracer of the global biosphere productivity and hence reconstruct the dynamic of the global biosphere productivity in the past from measurements performed in the air bubbles. Measuring triple isotopic composition of oxygen both in the water and in the atmospheric dioxygen trapped in bubbles in ice cores is thus a strong added value to study the past variability of water cycle and biosphere productivity in parallel to climate change.
Here, we first present new laboratory experiments performed in closed biological chambers to show how the triple isotopic composition of oxygen in atmospheric dioxygen can be used for quantification of the biosphere productivity with determination of fractionation coefficients. Then, we present new records of triple isotopic composition of oxygen in water and O2 trapped in bubbles from the EPICA Dome C ice core over the deglaciations of the last 800 ka.
How to cite: Landais, A., Yang, J.-W., Pasquier, N., Grisart, A., Brandon, M., Extier, T., Prié, F., Minster, B., Piel, C., Sauze, J., Milcu, A., Stenni, B., and Blunier, T.: Triple isotopic composition of oxygen in water and dioxygen during deglaciations recorded in the EPICA Dome C ice core to link climate, biosphere productivity and water cycle, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5961, https://doi.org/10.5194/egusphere-egu2020-5961, 2020.
High precision measurements of triple isotopic composition of oxygen in water is a useful tool to infer the dynamic of past hydrological cycle when measured in ice core together with δ18O and δD. In particular, the triple isotopic composition of oxygen in water provides information on the climatic conditions of the evaporative sources. In parallel, it has been shown that the triple isotopic composition of oxygen in the atmospheric dioxygen can be a useful tracer of the global biosphere productivity and hence reconstruct the dynamic of the global biosphere productivity in the past from measurements performed in the air bubbles. Measuring triple isotopic composition of oxygen both in the water and in the atmospheric dioxygen trapped in bubbles in ice cores is thus a strong added value to study the past variability of water cycle and biosphere productivity in parallel to climate change.
Here, we first present new laboratory experiments performed in closed biological chambers to show how the triple isotopic composition of oxygen in atmospheric dioxygen can be used for quantification of the biosphere productivity with determination of fractionation coefficients. Then, we present new records of triple isotopic composition of oxygen in water and O2 trapped in bubbles from the EPICA Dome C ice core over the deglaciations of the last 800 ka.
How to cite: Landais, A., Yang, J.-W., Pasquier, N., Grisart, A., Brandon, M., Extier, T., Prié, F., Minster, B., Piel, C., Sauze, J., Milcu, A., Stenni, B., and Blunier, T.: Triple isotopic composition of oxygen in water and dioxygen during deglaciations recorded in the EPICA Dome C ice core to link climate, biosphere productivity and water cycle, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5961, https://doi.org/10.5194/egusphere-egu2020-5961, 2020.
EGU2020-3064 | Displays | BG2.1
Leaf-scale quantification of the effect of photosynthetic gas exchange on Δ17O of atmospheric CO2Getachew Adnew, Thijs Pons, Gerbrand Koren, Wouter Peters, and Thomas Röckmann
Understanding the processes affecting the triple oxygen isotope composition of atmospheric CO2 during photosynthesis can help to constrain the interaction and fluxes between the atmosphere and the biosphere. We conducted leaf cuvette experiments under controlled conditions, using sunflower (Helianthus annuus), an annual C3 species with high photosynthetic capacity and stomatal conductance for CO2, an evergreen C3 species, ivy (Hedera hybernica) with lower values for these traits, and a C4 species maize (Zea mays) that has a high photosynthetic capacity and low stomatal conductance. The experiments were conducted at different light intensities and using CO2 with different 17O- excess. Our results demonstrate that two key factors determine the effect of photosynthetic gas exchange on Δ17O of atmospheric CO2: The relative difference in Δ17O of the CO2 entering the leaf and Δ17O of leaf water, and the back-diffusion flux from the leaf to the atmosphere, which can be quantified by the cm/ca ratio. At low cm/ca the discrimination is governed by diffusion into the leaf, and at high cm/ca by back-diffusion of CO2 that has equilibrated with the leaf water. Plants with a higher cm/ca ratio modify the Δ17O of atmospheric CO2 more strongly than plants with lower cm/ca.
Based on the leaf cuvette experiments using both C4 and C3 plants, the global discrimination in 17O-excess of atmospheric CO2 due to assimilation is estimated to be -0.6±0.2‰. The main uncertainty in the global estimation is due to the uncertainty in the cm/ca ratio.
How to cite: Adnew, G., Pons, T., Koren, G., Peters, W., and Röckmann, T.: Leaf-scale quantification of the effect of photosynthetic gas exchange on Δ17O of atmospheric CO2 , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3064, https://doi.org/10.5194/egusphere-egu2020-3064, 2020.
Understanding the processes affecting the triple oxygen isotope composition of atmospheric CO2 during photosynthesis can help to constrain the interaction and fluxes between the atmosphere and the biosphere. We conducted leaf cuvette experiments under controlled conditions, using sunflower (Helianthus annuus), an annual C3 species with high photosynthetic capacity and stomatal conductance for CO2, an evergreen C3 species, ivy (Hedera hybernica) with lower values for these traits, and a C4 species maize (Zea mays) that has a high photosynthetic capacity and low stomatal conductance. The experiments were conducted at different light intensities and using CO2 with different 17O- excess. Our results demonstrate that two key factors determine the effect of photosynthetic gas exchange on Δ17O of atmospheric CO2: The relative difference in Δ17O of the CO2 entering the leaf and Δ17O of leaf water, and the back-diffusion flux from the leaf to the atmosphere, which can be quantified by the cm/ca ratio. At low cm/ca the discrimination is governed by diffusion into the leaf, and at high cm/ca by back-diffusion of CO2 that has equilibrated with the leaf water. Plants with a higher cm/ca ratio modify the Δ17O of atmospheric CO2 more strongly than plants with lower cm/ca.
Based on the leaf cuvette experiments using both C4 and C3 plants, the global discrimination in 17O-excess of atmospheric CO2 due to assimilation is estimated to be -0.6±0.2‰. The main uncertainty in the global estimation is due to the uncertainty in the cm/ca ratio.
How to cite: Adnew, G., Pons, T., Koren, G., Peters, W., and Röckmann, T.: Leaf-scale quantification of the effect of photosynthetic gas exchange on Δ17O of atmospheric CO2 , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3064, https://doi.org/10.5194/egusphere-egu2020-3064, 2020.
EGU2020-10588 | Displays | BG2.1
Simulations of atmospheric CO2 and δ13C-CO2 compared to real-time observations at the high altitude station JungfraujochSimone M. Pieber, Béla Tuzson, Stephan Henne, Ute Karstens, Dominik Brunner, Martin Steinbacher, and Lukas Emmenegger
Evaluating atmospheric transport simulations against observations helps refining bottom-up estimates of greenhouse gas fluxes and identifying gaps in our understanding of regional and category-specific contributions to atmospheric mole fractions. This insight is critical in the efforts to mitigate anthropogenic environmental impact. Beside total mole fractions, stable isotope ratios provide further constraints on source-sink processes [1-3].
Here, we present two receptor-oriented model simulations for carbon dioxide (CO2) mole fraction and δ13C-CO2 stable isotope ratios for a nine year period (2009-2017) at the High Altitude Research Station Jungfraujoch (Switzerland, 3580 m asl). The model simulations of CO2 were performed on a 3-hourly time-resolution with two backward Lagrangian particle dispersion models driven by two different numerical weather forecast fields: FLEXPART-COSMO and STILT-ECMWF. Anthropogenic CO2 fluxes were based on the EDGAR v4.3 emissions inventory aggregated into 14 source categories representing fossil and biogenic fuel uses as well as emissions from cement production. Biospheric CO2 fluxes representing the photosynthetic uptake and respiration of 8 plant functional types were based on the Vegetation Photosynthesis and Respiration Model (VPRM). The simulated CO2 emissions per source and sink category were weighted with category-specific δ13C-CO2 signatures from published experimental studies. Background CO2 values at the boundaries of both model domains were taken from global model simulations and the corresponding δ13C-CO2 values were constructed as suggested in Ref. [3]. We compare the simulations to a unique data set of continuous in-situ observations of CO2 mole fractions and δ13C-CO2 stable isotope ratios by quantum cascade laser absorption spectroscopy as described in previous work [1, 4-5], available for the whole nine year period at the site.
The simulated atmospheric CO2 and δ13C-CO2 time-series are in good agreement with the observations and capture the observed variability at the models' 3-hourly time-resolution. This allows for an in-depth evaluation of the contribution of different CO2 emission sources and for an allocation of source regions when Jungfraujoch is influenced by air masses from the planetary boundary layer. In brief, the receptor-oriented model simulations suggest that anthropogenic CO2 contributions are primarily of fossil origin (90%). Anthropogenic emissions contribute between 60% in February, and 20% in July/August, to the CO2 enhancements observed at Jungfraujoch. The remaining fraction is due to biosphere respiration, which thus largely dominates emissions during the summer season. However, intense photosynthetic CO2 uptake during June, July and August roughly outweighs CO2 contributions from anthropogenic activities and biosphere respiration at JFJ.
REFERENCES
[1] Tuzson et al., 2011. ACP, 11, 1685
[2] Röckmann et al., 2016. ACP, 16, 10469
[3] Vardag et al., 2016. Biogeosciences, 13, 4237
[4] Tuzson et al., 2008. Appl. Phys. B, 92, 451
[5] Sturm et al., 2013. AMT 6, 1659
How to cite: Pieber, S. M., Tuzson, B., Henne, S., Karstens, U., Brunner, D., Steinbacher, M., and Emmenegger, L.: Simulations of atmospheric CO2 and δ13C-CO2 compared to real-time observations at the high altitude station Jungfraujoch , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10588, https://doi.org/10.5194/egusphere-egu2020-10588, 2020.
Evaluating atmospheric transport simulations against observations helps refining bottom-up estimates of greenhouse gas fluxes and identifying gaps in our understanding of regional and category-specific contributions to atmospheric mole fractions. This insight is critical in the efforts to mitigate anthropogenic environmental impact. Beside total mole fractions, stable isotope ratios provide further constraints on source-sink processes [1-3].
Here, we present two receptor-oriented model simulations for carbon dioxide (CO2) mole fraction and δ13C-CO2 stable isotope ratios for a nine year period (2009-2017) at the High Altitude Research Station Jungfraujoch (Switzerland, 3580 m asl). The model simulations of CO2 were performed on a 3-hourly time-resolution with two backward Lagrangian particle dispersion models driven by two different numerical weather forecast fields: FLEXPART-COSMO and STILT-ECMWF. Anthropogenic CO2 fluxes were based on the EDGAR v4.3 emissions inventory aggregated into 14 source categories representing fossil and biogenic fuel uses as well as emissions from cement production. Biospheric CO2 fluxes representing the photosynthetic uptake and respiration of 8 plant functional types were based on the Vegetation Photosynthesis and Respiration Model (VPRM). The simulated CO2 emissions per source and sink category were weighted with category-specific δ13C-CO2 signatures from published experimental studies. Background CO2 values at the boundaries of both model domains were taken from global model simulations and the corresponding δ13C-CO2 values were constructed as suggested in Ref. [3]. We compare the simulations to a unique data set of continuous in-situ observations of CO2 mole fractions and δ13C-CO2 stable isotope ratios by quantum cascade laser absorption spectroscopy as described in previous work [1, 4-5], available for the whole nine year period at the site.
The simulated atmospheric CO2 and δ13C-CO2 time-series are in good agreement with the observations and capture the observed variability at the models' 3-hourly time-resolution. This allows for an in-depth evaluation of the contribution of different CO2 emission sources and for an allocation of source regions when Jungfraujoch is influenced by air masses from the planetary boundary layer. In brief, the receptor-oriented model simulations suggest that anthropogenic CO2 contributions are primarily of fossil origin (90%). Anthropogenic emissions contribute between 60% in February, and 20% in July/August, to the CO2 enhancements observed at Jungfraujoch. The remaining fraction is due to biosphere respiration, which thus largely dominates emissions during the summer season. However, intense photosynthetic CO2 uptake during June, July and August roughly outweighs CO2 contributions from anthropogenic activities and biosphere respiration at JFJ.
REFERENCES
[1] Tuzson et al., 2011. ACP, 11, 1685
[2] Röckmann et al., 2016. ACP, 16, 10469
[3] Vardag et al., 2016. Biogeosciences, 13, 4237
[4] Tuzson et al., 2008. Appl. Phys. B, 92, 451
[5] Sturm et al., 2013. AMT 6, 1659
How to cite: Pieber, S. M., Tuzson, B., Henne, S., Karstens, U., Brunner, D., Steinbacher, M., and Emmenegger, L.: Simulations of atmospheric CO2 and δ13C-CO2 compared to real-time observations at the high altitude station Jungfraujoch , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10588, https://doi.org/10.5194/egusphere-egu2020-10588, 2020.
EGU2020-11501 | Displays | BG2.1
Rapid and Precise Carbon Dioxide Clumped Isotope Composition Analysis by Tunable Infrared Laser Differential Absorption SpectroscopyDavid Nelson, Zhennan Wang, David Dettman, Barry McManus, Jay Quade, Nitzan Yanay, Katharine Huntington, and Andrew Schauer
Carbon dioxide clumped isotope thermometry is one of the most developed applications of the geochemistry of multiply substituted isotopologues. The degree of heavy isotope clumping (e.g., 16O13C18O) beyond an expected random distribution can be related to the temperature of calcite precipitation. This provides an independent temperature estimate that, when combined with carbonate δ18O values, can constrain paleowater δ18O values. However, the use of isotope ratio mass spectrometry (IRMS) to do these measurements remains relatively rare because it is time-consuming and costly. We have developed an isotope ratio laser spectrometry method using tunable infrared laser differential absorption spectroscopy (TILDAS) and describe our latest results using both gaseous carbon dioxide samples and CO2 derived from carbonate minerals. The TILDAS instrument has two continuous wave lasers to directly and simultaneously measure four isotopologues involved in the 16O13C18O equilibrium calculation. Because each isotopologue is independently resolved, this approach does not have to correct for isobaric peaks. The gas samples are trapped in a low volume (~250 ml) optical multi-pass cell with a path length of 36 meters. Raw data are collected at 1.6 kHz, providing 96,000 peak-area measurements of each CO2 isotopologue per minute. With a specially designed sampling system, each sample measurement is bracketed with measurements of a working reference gas, and a precision of 0.01‰ is achieved within 20 minutes, based on four repeated measurements. The total sample size needed for a complete measurement is approximately 15 μmol of CO2, or 1.5 mg of calcite equivalent. TILDAS reported ∆16O13C18O values show a linear relationship with theoretical calculations, with a very weak dependence on bulk isotope composition. The performance of the TILDAS system demonstrated in this study is competitive with the best IRMS systems and surpasses typical IRMS measurements in several key respects, such as measurement duration and isobaric interference problems. This method can easily be applied more widely in stable isotope geochemistry by changing spectral regions and laser configurations, leading to rapid and high precision (0.01‰) measurement of conventional stable isotope ratios and δ17O in CO2 gas samples.
How to cite: Nelson, D., Wang, Z., Dettman, D., McManus, B., Quade, J., Yanay, N., Huntington, K., and Schauer, A.: Rapid and Precise Carbon Dioxide Clumped Isotope Composition Analysis by Tunable Infrared Laser Differential Absorption Spectroscopy, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11501, https://doi.org/10.5194/egusphere-egu2020-11501, 2020.
Carbon dioxide clumped isotope thermometry is one of the most developed applications of the geochemistry of multiply substituted isotopologues. The degree of heavy isotope clumping (e.g., 16O13C18O) beyond an expected random distribution can be related to the temperature of calcite precipitation. This provides an independent temperature estimate that, when combined with carbonate δ18O values, can constrain paleowater δ18O values. However, the use of isotope ratio mass spectrometry (IRMS) to do these measurements remains relatively rare because it is time-consuming and costly. We have developed an isotope ratio laser spectrometry method using tunable infrared laser differential absorption spectroscopy (TILDAS) and describe our latest results using both gaseous carbon dioxide samples and CO2 derived from carbonate minerals. The TILDAS instrument has two continuous wave lasers to directly and simultaneously measure four isotopologues involved in the 16O13C18O equilibrium calculation. Because each isotopologue is independently resolved, this approach does not have to correct for isobaric peaks. The gas samples are trapped in a low volume (~250 ml) optical multi-pass cell with a path length of 36 meters. Raw data are collected at 1.6 kHz, providing 96,000 peak-area measurements of each CO2 isotopologue per minute. With a specially designed sampling system, each sample measurement is bracketed with measurements of a working reference gas, and a precision of 0.01‰ is achieved within 20 minutes, based on four repeated measurements. The total sample size needed for a complete measurement is approximately 15 μmol of CO2, or 1.5 mg of calcite equivalent. TILDAS reported ∆16O13C18O values show a linear relationship with theoretical calculations, with a very weak dependence on bulk isotope composition. The performance of the TILDAS system demonstrated in this study is competitive with the best IRMS systems and surpasses typical IRMS measurements in several key respects, such as measurement duration and isobaric interference problems. This method can easily be applied more widely in stable isotope geochemistry by changing spectral regions and laser configurations, leading to rapid and high precision (0.01‰) measurement of conventional stable isotope ratios and δ17O in CO2 gas samples.
How to cite: Nelson, D., Wang, Z., Dettman, D., McManus, B., Quade, J., Yanay, N., Huntington, K., and Schauer, A.: Rapid and Precise Carbon Dioxide Clumped Isotope Composition Analysis by Tunable Infrared Laser Differential Absorption Spectroscopy, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11501, https://doi.org/10.5194/egusphere-egu2020-11501, 2020.
EGU2020-6726 | Displays | BG2.1
Clumped isotope analysis in nitrous oxide by mid-IR laser spectroscopy: analytical developments and validationKristýna Kantnerová, Longfei Yu, Daniel Zindel, Mark S. Zahniser, David D. Nelson, Béla Tuzson, Lukas Emmenegger, Mayuko Nakagawa, Sakae Toyoda, Naohiro Yoshida, Stefano M. Bernasconi, and Joachim Mohn
Nitrous oxide (N2O) has been for long a major focus of all greenhouse gas accounting agreements. Understanding the mechanisms of its formation and clarifying its sources and sinks are highly important for mitigating N2O emissions. In this context, measuring the doubly substituted isotopocules of N2O can add new and unique opportunities to fingerprint and constrain the biogeochemical N2O cycle, similar to other atmospheric species such as CO2, CH4, and O2.
We address this challenging research field by developing and validating a laser spectroscopic technique for selective analysis of the eight most abundant N2O isotopic species including the doubly substituted isotopocules 14N15N18O, 15N14N18O, and 15N15N16O. This method is based on quantum cascade laser absorption spectroscopy (QCLAS) and reaches a precision of 0.01 – 0.20 ‰ with 1 – 2 min spectral averaging on samples of 4 μmol of N2O in N2 at 4 hPa.
Furthermore, we have established a new reference frame combining two independent approaches: (1) clumped N2O isotopocule abundances were linked to stochastic distribution by equilibrating the N–O bond in the N2O molecule over activated Al2O3 at 100 and 200 °C, and (2) individual isotopocule concentrations were calibrated using a set of high-accuracy gravimetric N2O-in-N2 gas mixtures. The latter approach, applied for the first time to clumped isotope measurements, has a particular potential in realizing regular multi-point calibration for species like 15N15N16O, because no procedure for equilibration of the N–N bond has been successful yet.
Results of the validation measurements, using the QCLAS method and calibration approach, are presented for a large range of δ values (approx. 100 ‰ for d15N and d18O). Inter-comparison measurements with high-resolution mass spectrometry show compatible results for bulk isotopic composition (d15N, d(458+548)), but superior performance of QCLAS for determining site-selectivity (SP, SP18). In summary, this work provides new methodological basis for the measurements of clumped N2O isotopes and has a high potential to stimulate future research in the N2O community by establishing a new class of reservoir-insensitive tracers and molecular-scale insights.
How to cite: Kantnerová, K., Yu, L., Zindel, D., Zahniser, M. S., Nelson, D. D., Tuzson, B., Emmenegger, L., Nakagawa, M., Toyoda, S., Yoshida, N., Bernasconi, S. M., and Mohn, J.: Clumped isotope analysis in nitrous oxide by mid-IR laser spectroscopy: analytical developments and validation, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6726, https://doi.org/10.5194/egusphere-egu2020-6726, 2020.
Nitrous oxide (N2O) has been for long a major focus of all greenhouse gas accounting agreements. Understanding the mechanisms of its formation and clarifying its sources and sinks are highly important for mitigating N2O emissions. In this context, measuring the doubly substituted isotopocules of N2O can add new and unique opportunities to fingerprint and constrain the biogeochemical N2O cycle, similar to other atmospheric species such as CO2, CH4, and O2.
We address this challenging research field by developing and validating a laser spectroscopic technique for selective analysis of the eight most abundant N2O isotopic species including the doubly substituted isotopocules 14N15N18O, 15N14N18O, and 15N15N16O. This method is based on quantum cascade laser absorption spectroscopy (QCLAS) and reaches a precision of 0.01 – 0.20 ‰ with 1 – 2 min spectral averaging on samples of 4 μmol of N2O in N2 at 4 hPa.
Furthermore, we have established a new reference frame combining two independent approaches: (1) clumped N2O isotopocule abundances were linked to stochastic distribution by equilibrating the N–O bond in the N2O molecule over activated Al2O3 at 100 and 200 °C, and (2) individual isotopocule concentrations were calibrated using a set of high-accuracy gravimetric N2O-in-N2 gas mixtures. The latter approach, applied for the first time to clumped isotope measurements, has a particular potential in realizing regular multi-point calibration for species like 15N15N16O, because no procedure for equilibration of the N–N bond has been successful yet.
Results of the validation measurements, using the QCLAS method and calibration approach, are presented for a large range of δ values (approx. 100 ‰ for d15N and d18O). Inter-comparison measurements with high-resolution mass spectrometry show compatible results for bulk isotopic composition (d15N, d(458+548)), but superior performance of QCLAS for determining site-selectivity (SP, SP18). In summary, this work provides new methodological basis for the measurements of clumped N2O isotopes and has a high potential to stimulate future research in the N2O community by establishing a new class of reservoir-insensitive tracers and molecular-scale insights.
How to cite: Kantnerová, K., Yu, L., Zindel, D., Zahniser, M. S., Nelson, D. D., Tuzson, B., Emmenegger, L., Nakagawa, M., Toyoda, S., Yoshida, N., Bernasconi, S. M., and Mohn, J.: Clumped isotope analysis in nitrous oxide by mid-IR laser spectroscopy: analytical developments and validation, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6726, https://doi.org/10.5194/egusphere-egu2020-6726, 2020.
EGU2020-5761 | Displays | BG2.1
Evaluation of continuous δ13CH4 measurements in Heidelberg and at Schauinsland, GermanyAntje Hoheisel, Frank Meinhardt, and Martina Schmidt
Instrumental development in measurement technique now allows continuous in-situ isotope analysis of 13CH4 by Cavity Ring-Down Spectroscopy (CRDS). Analyses of the isotopic composition of methane in ambient air can potentially be used to partition between different CH4 source categories.
Since 2014 a CRDS G2201-i analyser has been used to continuously measure CH4 and its 13C/12C ratio in ambient air at the Institute of Environmental Physics (IUP) in Heidelberg (116m a.s.l.), South-West Germany. Furthermore, the CRDS G2201-i analyser was installed twice for a month at the measurement station of the German Environment Agency at Schauinsland (1205m a.s.l.). In September 2018 and in February 2019 the analyser was moved to Schauinsland to examine the validity of evaluations of continuous δ13CH4 measurements at a semi-rural station.
As an urban station, the seasonal and daily variations of the measured CH4 mole fraction and isotopic composition in Heidelberg vary much stronger than at the mountain station Schauinsland. The precision of the isotopic source signature calculation using a Keeling plot strongly depends on the CH4 peak height and instrumental precision. Therefore, at Schauinsland station the lower variability in the CH4 mole fraction makes the evaluation challenging. Different methods such as monthly/weekly interval evaluations and moving Keeling/Miller Tans methods has been used to calculate the isotopic source signature in ambient air.
The isotopic methane source signatures of the air in Heidelberg was found to be between -75 ‰ and -35 ‰, with an average of (-54 ± 2) ‰. An annual cycle can be noticed with more depleted values (-56 ‰) in summer and more enriched values (-51 ‰) in winter, due to larger biogenic emissions in summer and more thermogenic (e.g. natural gas) emissions in winter. The mean isotopic source signature calculated at Schauinsland shows variations, too, with more enriched values (−56 ‰) in winter and more depleted (−60 ‰) ones in autumn. The more depleted values in summer/autumn at Schauinsland corresponds to more biogenic methane and can be explained by dairy cows grazing near the station especially during this time.
The generally more enriched values at Schauinsland are caused by the more rural surrounding. Emission estimates of county provided by the LUBW Landesanstalt für Umwelt Baden-Württemberg shows that around Schauinsland 60 % of the CH4 emissions are emitted by livestock farming and around Heidelberg only 28 %. The mean isotopic source signature calculated using these emissions is (-58 ± 2) ‰ for Schauinsland and (-53 ± 2) ‰ for Heidelberg. These results agreed well with the mean source signatures determined out of continuous isotopic measurements.
How to cite: Hoheisel, A., Meinhardt, F., and Schmidt, M.: Evaluation of continuous δ13CH4 measurements in Heidelberg and at Schauinsland, Germany, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5761, https://doi.org/10.5194/egusphere-egu2020-5761, 2020.
Instrumental development in measurement technique now allows continuous in-situ isotope analysis of 13CH4 by Cavity Ring-Down Spectroscopy (CRDS). Analyses of the isotopic composition of methane in ambient air can potentially be used to partition between different CH4 source categories.
Since 2014 a CRDS G2201-i analyser has been used to continuously measure CH4 and its 13C/12C ratio in ambient air at the Institute of Environmental Physics (IUP) in Heidelberg (116m a.s.l.), South-West Germany. Furthermore, the CRDS G2201-i analyser was installed twice for a month at the measurement station of the German Environment Agency at Schauinsland (1205m a.s.l.). In September 2018 and in February 2019 the analyser was moved to Schauinsland to examine the validity of evaluations of continuous δ13CH4 measurements at a semi-rural station.
As an urban station, the seasonal and daily variations of the measured CH4 mole fraction and isotopic composition in Heidelberg vary much stronger than at the mountain station Schauinsland. The precision of the isotopic source signature calculation using a Keeling plot strongly depends on the CH4 peak height and instrumental precision. Therefore, at Schauinsland station the lower variability in the CH4 mole fraction makes the evaluation challenging. Different methods such as monthly/weekly interval evaluations and moving Keeling/Miller Tans methods has been used to calculate the isotopic source signature in ambient air.
The isotopic methane source signatures of the air in Heidelberg was found to be between -75 ‰ and -35 ‰, with an average of (-54 ± 2) ‰. An annual cycle can be noticed with more depleted values (-56 ‰) in summer and more enriched values (-51 ‰) in winter, due to larger biogenic emissions in summer and more thermogenic (e.g. natural gas) emissions in winter. The mean isotopic source signature calculated at Schauinsland shows variations, too, with more enriched values (−56 ‰) in winter and more depleted (−60 ‰) ones in autumn. The more depleted values in summer/autumn at Schauinsland corresponds to more biogenic methane and can be explained by dairy cows grazing near the station especially during this time.
The generally more enriched values at Schauinsland are caused by the more rural surrounding. Emission estimates of county provided by the LUBW Landesanstalt für Umwelt Baden-Württemberg shows that around Schauinsland 60 % of the CH4 emissions are emitted by livestock farming and around Heidelberg only 28 %. The mean isotopic source signature calculated using these emissions is (-58 ± 2) ‰ for Schauinsland and (-53 ± 2) ‰ for Heidelberg. These results agreed well with the mean source signatures determined out of continuous isotopic measurements.
How to cite: Hoheisel, A., Meinhardt, F., and Schmidt, M.: Evaluation of continuous δ13CH4 measurements in Heidelberg and at Schauinsland, Germany, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5761, https://doi.org/10.5194/egusphere-egu2020-5761, 2020.
EGU2020-13618 | Displays | BG2.1
Isotopomer approaches to the detection of anaerobic oxidation of natural gas hydrocarbonsAlexis Gilbert, Maxime Julien, Naohiro Yoshida, and Yuichiro Ueno
Hydrocarbons are the main constituents of natural gas. Their chemical and isotope abundance is a window to biogeochemical processes occurring in the subsurface. Stable isotopes of natural gas hydrocarbons are traditionally measured through compound-specific isotope analysis (CSIA) where each hydrocarbon is separated before its isotope ratio is determined.
Recently a variety of methods have been developed to determine position-specific isotope composition of propane, the first hydrocarbon with two distinct isotopomers: central and terminal [1][2][3][4]. The relative abundance of propane isotopomers (e.g. Δ13Ccentral = δ13Ccentral - δ13Cterminal) is a promising tool for tracing sources and sinks of hydrocarbons in natural gas reservoirs. In particular, anaerobic oxidation of propane starts with a fumarate addition at the central position, which is expected to lead to a specific enrichment of the central 13C-isotopomer of the remaining propane.
We measured Δ13Ccentral values of propane throughout the course of its oxidation by bacteria BuS5 [5] and showed that the isotope fractionation is located mainly on the central position, which differs from the signature expected for thermogenic evolution [6]. The approach has been used to detect anaerobic oxidation of propane in several natural gas reservoirs: Southwest Ontario (Canada), Carnarvon Basin (Australia), Michigan (USA) [6], and more recently Tokamachi mud volcano in Japan [7]. In addition, isotopomers of n-butane and i-butane analysed using the same technique allows gaining insights into the mechanism of their microbial oxidation.
The isotopomer approach presented here can thus shed light on the fate of natural gas hydrocarbons. In combination with clumped isotope measurements of methane and ethane, the approach can provide unprecedented information regarding carbon cycling in the subsurface.
[1] Gilbert et al., 2016 GCA v177, p205
[2] Piasecki et al., 2016 GCA v188 p58
[3] Gao et al., 2016 Chem Geol. v435, p1
[4] Liu et al., 2018 Chem Geol. v491, p14
[5] Kniemeyer et al., 2007 Nature v449, p898
[6] Gilbert et al., 2019 PNAS v116, p6653
[7] Etiope et al., 2011 Appl. Geochem. v26, p348
How to cite: Gilbert, A., Julien, M., Yoshida, N., and Ueno, Y.: Isotopomer approaches to the detection of anaerobic oxidation of natural gas hydrocarbons, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13618, https://doi.org/10.5194/egusphere-egu2020-13618, 2020.
Hydrocarbons are the main constituents of natural gas. Their chemical and isotope abundance is a window to biogeochemical processes occurring in the subsurface. Stable isotopes of natural gas hydrocarbons are traditionally measured through compound-specific isotope analysis (CSIA) where each hydrocarbon is separated before its isotope ratio is determined.
Recently a variety of methods have been developed to determine position-specific isotope composition of propane, the first hydrocarbon with two distinct isotopomers: central and terminal [1][2][3][4]. The relative abundance of propane isotopomers (e.g. Δ13Ccentral = δ13Ccentral - δ13Cterminal) is a promising tool for tracing sources and sinks of hydrocarbons in natural gas reservoirs. In particular, anaerobic oxidation of propane starts with a fumarate addition at the central position, which is expected to lead to a specific enrichment of the central 13C-isotopomer of the remaining propane.
We measured Δ13Ccentral values of propane throughout the course of its oxidation by bacteria BuS5 [5] and showed that the isotope fractionation is located mainly on the central position, which differs from the signature expected for thermogenic evolution [6]. The approach has been used to detect anaerobic oxidation of propane in several natural gas reservoirs: Southwest Ontario (Canada), Carnarvon Basin (Australia), Michigan (USA) [6], and more recently Tokamachi mud volcano in Japan [7]. In addition, isotopomers of n-butane and i-butane analysed using the same technique allows gaining insights into the mechanism of their microbial oxidation.
The isotopomer approach presented here can thus shed light on the fate of natural gas hydrocarbons. In combination with clumped isotope measurements of methane and ethane, the approach can provide unprecedented information regarding carbon cycling in the subsurface.
[1] Gilbert et al., 2016 GCA v177, p205
[2] Piasecki et al., 2016 GCA v188 p58
[3] Gao et al., 2016 Chem Geol. v435, p1
[4] Liu et al., 2018 Chem Geol. v491, p14
[5] Kniemeyer et al., 2007 Nature v449, p898
[6] Gilbert et al., 2019 PNAS v116, p6653
[7] Etiope et al., 2011 Appl. Geochem. v26, p348
How to cite: Gilbert, A., Julien, M., Yoshida, N., and Ueno, Y.: Isotopomer approaches to the detection of anaerobic oxidation of natural gas hydrocarbons, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13618, https://doi.org/10.5194/egusphere-egu2020-13618, 2020.
EGU2020-22570 | Displays | BG2.1
Testing different methods for the extraction and purification of leaf and phloem sugars for oxygen isotope analysisMelanie Egli, Marco M. Lehmann, Nadine Brinkmann, Roland A. Werner, Matthias Saurer, and Ansgar Kahmen
Oxygen isotope analysis of plant material, such as sugars in different tissues, provides an important tool to understand how plants function, interact with their environment and also cope with climate change. Knowing how to extract and purify carbohydrates without artificially altering their oxygen isotope ratio (δ18O) is therefore essential.
We aimed to resolve the impact of different steps on sugars' δ18O values during their extraction and purification from leaf and phloem tissue. More precisely, we investigated (1) different drying processes (oven- vs freeze-drying), and (2) how extraction and purification affect leaf sugars. To clearly see fractionation and exchange processes, these experiments were performed using 18O-labelled water. We further examined (3) the influence of different EDTA media and immersion times to facilitate sugar exudation and subsequent yield from twig phloem tissue. Finally, we analysed (4) the sugar phloem composition, as well as the individual compounds’ carbon isotopic signatures (δ13C).
Comparison of freeze- and oven-dried sugars showed lower δ18O memory effects and more consistent oxygen isotopic signatures across different sugars, indicating lyophilisation as the more reliable method. The extraction and purification can be conducted without significant oxygen isotope fractionation. However, 18O-depletion was observed when sugars were dissolved and dried multiple times. This suggests that additional dissolution and drying steps should best be avoided whenever possible. Different immersion times and exudation media during twig phloem extraction revealed to have a substantial influence on the phloem sugars' overall oxygen isotopic signature, their composition, and the individual compounds' δ13C values.
Our research illustrates which precautions during sample preparation – from drying to extracting and purifying – need to be taken when plant sugars and their oxygen isotopic signature are of interest. Regarding the preservation of the phloem sugars' original δ18O values and stabilising their composition (prevention of sucrose degradation) as much as possible, we recommend a short immersion time of approx. 1 hour. After a thorough initial rinse of the tissue, the sap should be eluted in pure water without any additives (no EDTA). This further reduces the possibility of hexoses to exchange oxygen with that of the surrounding water.
How to cite: Egli, M., Lehmann, M. M., Brinkmann, N., Werner, R. A., Saurer, M., and Kahmen, A.: Testing different methods for the extraction and purification of leaf and phloem sugars for oxygen isotope analysis, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22570, https://doi.org/10.5194/egusphere-egu2020-22570, 2020.
Oxygen isotope analysis of plant material, such as sugars in different tissues, provides an important tool to understand how plants function, interact with their environment and also cope with climate change. Knowing how to extract and purify carbohydrates without artificially altering their oxygen isotope ratio (δ18O) is therefore essential.
We aimed to resolve the impact of different steps on sugars' δ18O values during their extraction and purification from leaf and phloem tissue. More precisely, we investigated (1) different drying processes (oven- vs freeze-drying), and (2) how extraction and purification affect leaf sugars. To clearly see fractionation and exchange processes, these experiments were performed using 18O-labelled water. We further examined (3) the influence of different EDTA media and immersion times to facilitate sugar exudation and subsequent yield from twig phloem tissue. Finally, we analysed (4) the sugar phloem composition, as well as the individual compounds’ carbon isotopic signatures (δ13C).
Comparison of freeze- and oven-dried sugars showed lower δ18O memory effects and more consistent oxygen isotopic signatures across different sugars, indicating lyophilisation as the more reliable method. The extraction and purification can be conducted without significant oxygen isotope fractionation. However, 18O-depletion was observed when sugars were dissolved and dried multiple times. This suggests that additional dissolution and drying steps should best be avoided whenever possible. Different immersion times and exudation media during twig phloem extraction revealed to have a substantial influence on the phloem sugars' overall oxygen isotopic signature, their composition, and the individual compounds' δ13C values.
Our research illustrates which precautions during sample preparation – from drying to extracting and purifying – need to be taken when plant sugars and their oxygen isotopic signature are of interest. Regarding the preservation of the phloem sugars' original δ18O values and stabilising their composition (prevention of sucrose degradation) as much as possible, we recommend a short immersion time of approx. 1 hour. After a thorough initial rinse of the tissue, the sap should be eluted in pure water without any additives (no EDTA). This further reduces the possibility of hexoses to exchange oxygen with that of the surrounding water.
How to cite: Egli, M., Lehmann, M. M., Brinkmann, N., Werner, R. A., Saurer, M., and Kahmen, A.: Testing different methods for the extraction and purification of leaf and phloem sugars for oxygen isotope analysis, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22570, https://doi.org/10.5194/egusphere-egu2020-22570, 2020.
EGU2020-10484 | Displays | BG2.1
Stable carbon isotopic composition of biomass burning emissions – implications for estimating the contribution of C3 and C4 plantsUlrike Dusek, Roland Vernooij, Anupam Shaikat, Chenxi Qiu, Elena Popa, Patrik Winiger, Nick A. J. Schutgens, Peng Yao, and Guido R. van der Werf
Biomass burning on the African continent emits large amounts of CO2, CO, and aerosols. Our aim is to use measurements of the stable carbon isotope 13C in organic carbon, CO and CO2 in biomass burning smoke to estimate the contribution of C3 plants (trees and bushes) and C4 plants (mainly Savannah grass), which have very distinct 13C/12C ratios. This is possible, if 13C/12C ratios are not significantly altered by the combustion process. This assumption is investigated in a series of laboratory experiments, where C3 and C4 plants (corn and willow wood), or C3-C4 plant mixtures are burned. The laboratory results are used to interpret the results of pilot studies of smoke sampled in African savannah fires.
First results from the laboratory studies indicate that organic carbon (OC) from combustion of willow or corn shows 13C/12C ratios comparable to the burned plant material. For combustion of willow (C3), the 13C/12C ratios in OC tend to be slightly higher than in the wood fuel, depending on combustion conditions. For combustion of corn 13C/12C ratios of OC tend to be slightly lower than in the fuel. For mixtures of willow and corn the relationship between 13C/12C ratios in the emitted organic carbon and the fuel mixture is slightly non-linear: For a 50-50% oak wood and corn mixture the 13C/12C ratio in OC is closer to that of corn than that of willow. First results from pilot field studies indicate that a larger fraction of OC comes from trees and bushes, although mainly Savannah grass is burned in the investigated fires.
How to cite: Dusek, U., Vernooij, R., Shaikat, A., Qiu, C., Popa, E., Winiger, P., Schutgens, N. A. J., Yao, P., and van der Werf, G. R.: Stable carbon isotopic composition of biomass burning emissions – implications for estimating the contribution of C3 and C4 plants , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10484, https://doi.org/10.5194/egusphere-egu2020-10484, 2020.
Biomass burning on the African continent emits large amounts of CO2, CO, and aerosols. Our aim is to use measurements of the stable carbon isotope 13C in organic carbon, CO and CO2 in biomass burning smoke to estimate the contribution of C3 plants (trees and bushes) and C4 plants (mainly Savannah grass), which have very distinct 13C/12C ratios. This is possible, if 13C/12C ratios are not significantly altered by the combustion process. This assumption is investigated in a series of laboratory experiments, where C3 and C4 plants (corn and willow wood), or C3-C4 plant mixtures are burned. The laboratory results are used to interpret the results of pilot studies of smoke sampled in African savannah fires.
First results from the laboratory studies indicate that organic carbon (OC) from combustion of willow or corn shows 13C/12C ratios comparable to the burned plant material. For combustion of willow (C3), the 13C/12C ratios in OC tend to be slightly higher than in the wood fuel, depending on combustion conditions. For combustion of corn 13C/12C ratios of OC tend to be slightly lower than in the fuel. For mixtures of willow and corn the relationship between 13C/12C ratios in the emitted organic carbon and the fuel mixture is slightly non-linear: For a 50-50% oak wood and corn mixture the 13C/12C ratio in OC is closer to that of corn than that of willow. First results from pilot field studies indicate that a larger fraction of OC comes from trees and bushes, although mainly Savannah grass is burned in the investigated fires.
How to cite: Dusek, U., Vernooij, R., Shaikat, A., Qiu, C., Popa, E., Winiger, P., Schutgens, N. A. J., Yao, P., and van der Werf, G. R.: Stable carbon isotopic composition of biomass burning emissions – implications for estimating the contribution of C3 and C4 plants , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10484, https://doi.org/10.5194/egusphere-egu2020-10484, 2020.
EGU2020-21320 | Displays | BG2.1
Stable carbon δ13C analysis of automotive particulate matter emissions under controlled conditionsLaurynas Bučinskas, Jonas Matijošius, and Andrius Garbaras
Excessive automotive engine exhaust emissions of gases and particulate matter (PM) pose a threat to public health and urban air quality. In an effort to reduce automotive emissions modern cars use a variety of engine modifications, catalytic systems and filters which in turn alter the isotope ratio of carbonaceous particles (isotope fractionation effect). Diesel engines are of particular interest due to higher production of particulates (soot) in comparison to gasoline engines [1].
The aim of this work was to examine particulate matter δ13C variation in automotive emissions using stable carbon isotope ratio measurements. Emission experiments were performed in dynamometer laboratory using four light passenger vehicles with differing liquid fuels - diesel, diesel with additives, 92 RON and 95 RON. Vehicles were tested with varying engine power and using simulated transient cycles in urban and rural areas. Engine exhaust particulate matter was collected on quartz filters. Later, isotope ratio δ13C values of fuel and exhaust carbonaceous particulates were measured using IRMS. δ13C values were then compared and level of isotope fractionation determined.
The obtained results show particulate matter δ13C values ranging from -28.8 ‰ to -27.2 ‰ during separate driving modes. Isotope fractionation Δ (particulates-fuel) values varied between 1.8 ‰ and 3.5 ‰. It was determined that δ13C values of automotive emissions depend on the type of fuel used, applied engine power, driving modes (urban, rural) and can be used to characterize automotive carbonaceous particle emissions.
[1] M. V. Twigg, “Progress and future challenges in controlling automotive exhaust gas emissions,” Appl. Catal. B Environ., 2007.
How to cite: Bučinskas, L., Matijošius, J., and Garbaras, A.: Stable carbon δ13C analysis of automotive particulate matter emissions under controlled conditions, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21320, https://doi.org/10.5194/egusphere-egu2020-21320, 2020.
Excessive automotive engine exhaust emissions of gases and particulate matter (PM) pose a threat to public health and urban air quality. In an effort to reduce automotive emissions modern cars use a variety of engine modifications, catalytic systems and filters which in turn alter the isotope ratio of carbonaceous particles (isotope fractionation effect). Diesel engines are of particular interest due to higher production of particulates (soot) in comparison to gasoline engines [1].
The aim of this work was to examine particulate matter δ13C variation in automotive emissions using stable carbon isotope ratio measurements. Emission experiments were performed in dynamometer laboratory using four light passenger vehicles with differing liquid fuels - diesel, diesel with additives, 92 RON and 95 RON. Vehicles were tested with varying engine power and using simulated transient cycles in urban and rural areas. Engine exhaust particulate matter was collected on quartz filters. Later, isotope ratio δ13C values of fuel and exhaust carbonaceous particulates were measured using IRMS. δ13C values were then compared and level of isotope fractionation determined.
The obtained results show particulate matter δ13C values ranging from -28.8 ‰ to -27.2 ‰ during separate driving modes. Isotope fractionation Δ (particulates-fuel) values varied between 1.8 ‰ and 3.5 ‰. It was determined that δ13C values of automotive emissions depend on the type of fuel used, applied engine power, driving modes (urban, rural) and can be used to characterize automotive carbonaceous particle emissions.
[1] M. V. Twigg, “Progress and future challenges in controlling automotive exhaust gas emissions,” Appl. Catal. B Environ., 2007.
How to cite: Bučinskas, L., Matijošius, J., and Garbaras, A.: Stable carbon δ13C analysis of automotive particulate matter emissions under controlled conditions, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21320, https://doi.org/10.5194/egusphere-egu2020-21320, 2020.
EGU2020-4529 | Displays | BG2.1
Identification of potential methane source regions in Europe using d13C-CH4 measurements and back trajectory modelingTamás Varga, László Haszpra, István Major, Eugan G. Nisbet, David Lowry, Rebecca E. Fisher, Timothy A.J. Jull, Mihály Molnár, and Elemér László
A three-year-long methane mole fraction and d13CCH4 measurement campaign was performed at the Hungarian tall tower station, Hegyhátsál, between 2013-2016. The results were compared with that of two NOAA atmospheric monitoring sites Mace Head and Zeppelin to determine the continental methane excess and the relative isotopic shift. The data then were used for bac trajectory analyses to identify potential methane source regions in Europe coupled with d13CCH4 results. The Hungarian station can be separated from the coastal and polar areas based on the mole fraction results having higher maxima and seasonal amplitude, but the d13CCH4 results match well with the NOAA stations’ results. Our study shows that although the local, regional anthropogenic and natural sources are major influences, more distant regions can also influence the measured CH4 level and d13CCH4 signal in the Pannonian Basin.
How to cite: Varga, T., Haszpra, L., Major, I., Nisbet, E. G., Lowry, D., Fisher, R. E., Jull, T. A. J., Molnár, M., and László, E.: Identification of potential methane source regions in Europe using d13C-CH4 measurements and back trajectory modeling, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4529, https://doi.org/10.5194/egusphere-egu2020-4529, 2020.
A three-year-long methane mole fraction and d13CCH4 measurement campaign was performed at the Hungarian tall tower station, Hegyhátsál, between 2013-2016. The results were compared with that of two NOAA atmospheric monitoring sites Mace Head and Zeppelin to determine the continental methane excess and the relative isotopic shift. The data then were used for bac trajectory analyses to identify potential methane source regions in Europe coupled with d13CCH4 results. The Hungarian station can be separated from the coastal and polar areas based on the mole fraction results having higher maxima and seasonal amplitude, but the d13CCH4 results match well with the NOAA stations’ results. Our study shows that although the local, regional anthropogenic and natural sources are major influences, more distant regions can also influence the measured CH4 level and d13CCH4 signal in the Pannonian Basin.
How to cite: Varga, T., Haszpra, L., Major, I., Nisbet, E. G., Lowry, D., Fisher, R. E., Jull, T. A. J., Molnár, M., and László, E.: Identification of potential methane source regions in Europe using d13C-CH4 measurements and back trajectory modeling, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4529, https://doi.org/10.5194/egusphere-egu2020-4529, 2020.
EGU2020-10777 | Displays | BG2.1 | Highlight
Sources, trends, and fate of methane in shallow aquifers of Alberta, CanadaPauline Humez, Florian Osselin, Wolfram Kloppmann, Cynthia McClain, Michael Nightingale, and Bernhard Mayer
Due to concerns regarding potential impacts of the development of natural gas from unconventional hydrocarbon resources on groundwater systems in North America and elsewhere, it has been crucial to improve methods of Environmental Baseline Assessment (EBA). Any subsequent deviations from the EBA could indicate migration of natural gas into the monitored groundwater systems. In collaboration with Alberta Environment and Parks, over 800 groundwater samples have been collected from dedicated monitoring wells since 2006 resulting in an extensive high-quality database of aqueous and gaseous geochemical and isotopic compositions. Because methane is the main component of natural gas, it had been the principal target of our groundwater studies. Our objectives were a) to assess the occurrence of methane in groundwater throughout the province of Alberta (Canada), b) to use isotope techniques to track the predominant sources of methane, c) to use a combination of chemical and multi-isotopic techniques and models to assess the fate of methane in groundwater, and d) to use probability for predicting the presence of methane in groundwater based on hydrogeochemical parameters in regions where no gas data exist.
Methane was found to be ubiquitous in groundwater samples throughout the province of Alberta with concentrations varying from 2.9 10-4 to >2.4 mmol/l. The highest methane concentrations were found in Na-HCO3 and Na-Cl water-types where the sulfate concentrations were <1 mmol/l. Analyses of the isotopic compositions of sulfate, dissolved inorganic carbon (DIC) and methane revealed that in some groundwater systems bacterial sulfate reduction occurred (δ34SSO4 >+10‰ associated with lowest sulfate concentrations) and evidence for methane oxidation was also detected (highest δ13CCH4 values > ‑55‰ associated with lowest methane concentrations). Moreover, some δ13CDIC values were as high as +13.8‰ associated with the highest methane concentrations. A geochemical and multi-isotope model using long-term monitoring data was developed and revealed two different sources of methane: 1) microbial methane resulting from in-situ methanogenesis within the aquifer for a subset of the samples; 2) migration of microbial methane into aquifers characterized by various redox conditions, followed by methane oxidation potentially coupled with bacterial sulfate reduction within sulfate-rich zones causing a pseudo-thermogenic carbon isotopic fingerprint for the remaining methane. So far, no evidence of unambiguously thermogenic methane in the groundwater samples collected from dedicated monitoring wells has been found. Efforts to assess the probability of regional occurrence of methane in groundwater systems in Alberta have then focused on a model for methane prediction model based on logistic regression (LR) for regions of Alberta where no gas data exist. Using basic hydrogeochemical parameters such as occurrence of electron donors, well depth and total dissolved solids of groundwater, the LR approach shows excellent performance metrics e.g. model sensitivity, specificity >80% regarding the prediction of methane occurrence in groundwater of Alberta.
How to cite: Humez, P., Osselin, F., Kloppmann, W., McClain, C., Nightingale, M., and Mayer, B.: Sources, trends, and fate of methane in shallow aquifers of Alberta, Canada, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10777, https://doi.org/10.5194/egusphere-egu2020-10777, 2020.
Due to concerns regarding potential impacts of the development of natural gas from unconventional hydrocarbon resources on groundwater systems in North America and elsewhere, it has been crucial to improve methods of Environmental Baseline Assessment (EBA). Any subsequent deviations from the EBA could indicate migration of natural gas into the monitored groundwater systems. In collaboration with Alberta Environment and Parks, over 800 groundwater samples have been collected from dedicated monitoring wells since 2006 resulting in an extensive high-quality database of aqueous and gaseous geochemical and isotopic compositions. Because methane is the main component of natural gas, it had been the principal target of our groundwater studies. Our objectives were a) to assess the occurrence of methane in groundwater throughout the province of Alberta (Canada), b) to use isotope techniques to track the predominant sources of methane, c) to use a combination of chemical and multi-isotopic techniques and models to assess the fate of methane in groundwater, and d) to use probability for predicting the presence of methane in groundwater based on hydrogeochemical parameters in regions where no gas data exist.
Methane was found to be ubiquitous in groundwater samples throughout the province of Alberta with concentrations varying from 2.9 10-4 to >2.4 mmol/l. The highest methane concentrations were found in Na-HCO3 and Na-Cl water-types where the sulfate concentrations were <1 mmol/l. Analyses of the isotopic compositions of sulfate, dissolved inorganic carbon (DIC) and methane revealed that in some groundwater systems bacterial sulfate reduction occurred (δ34SSO4 >+10‰ associated with lowest sulfate concentrations) and evidence for methane oxidation was also detected (highest δ13CCH4 values > ‑55‰ associated with lowest methane concentrations). Moreover, some δ13CDIC values were as high as +13.8‰ associated with the highest methane concentrations. A geochemical and multi-isotope model using long-term monitoring data was developed and revealed two different sources of methane: 1) microbial methane resulting from in-situ methanogenesis within the aquifer for a subset of the samples; 2) migration of microbial methane into aquifers characterized by various redox conditions, followed by methane oxidation potentially coupled with bacterial sulfate reduction within sulfate-rich zones causing a pseudo-thermogenic carbon isotopic fingerprint for the remaining methane. So far, no evidence of unambiguously thermogenic methane in the groundwater samples collected from dedicated monitoring wells has been found. Efforts to assess the probability of regional occurrence of methane in groundwater systems in Alberta have then focused on a model for methane prediction model based on logistic regression (LR) for regions of Alberta where no gas data exist. Using basic hydrogeochemical parameters such as occurrence of electron donors, well depth and total dissolved solids of groundwater, the LR approach shows excellent performance metrics e.g. model sensitivity, specificity >80% regarding the prediction of methane occurrence in groundwater of Alberta.
How to cite: Humez, P., Osselin, F., Kloppmann, W., McClain, C., Nightingale, M., and Mayer, B.: Sources, trends, and fate of methane in shallow aquifers of Alberta, Canada, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10777, https://doi.org/10.5194/egusphere-egu2020-10777, 2020.
EGU2020-13274 | Displays | BG2.1
Modelling the seasonal cycle of atmospheric δ13C-CH4 using source specific δ13C-CH4 valuesVilma Kangasaho, Aki Tsuruta, Tuula Aalto, Leif Backman, Sander Houweling, Maarten Krol, Wouter Peters, Ingrid Luijkx, Sebastian Lienert, Fortunat Joos, Edward Dlugokencky, Sylvia Michael, James White, and Rebecca Fisher
The atmospheric burden of methane (CH4) has more than doubled since the 18th Century. Currently the abundance of CH4 in the atmosphere is well known, but emission rates from different source sectors are uncertain. CH4 is emitted to the atmosphere from various sources. To better understand the changes in atmospheric CH4 abundance before and after 2006, it is important to study the contribution from these different sources separately. Most CH4 source have process specific δ13C-CH4 values, which can be used to broadly identify source sectors.
This study examines the seasonal cycle of atmospheric δ13C-CH4 in recent decades using the TM5 atmospheric transport. TM5 is driven by ECMWF ERA-Interim meteorological fields, and uses pre-calculated OH-fields and reaction rates with Cl and O(1D) to account for the CH4 sink processes in the atmosphere. TM5 is run at a 1ox1o resolution over Europe and globally at 6ox4o. Emissions for enteric fermentation and manure management, landfills and waste water treatment, rice cultivation, coal industry, oil and gas industry, and residential are taken from the EDGAR inventory. Natural emission for wetlands, peatlands and mineral soils, and soil sinks are taken from the LPX-Bern DYPTOP ecosystem model. Emissions for geological seeps including onshore hydrocarbon macro-seeps (including mud volcanoes), submarine (offshore) seeps, diffuse microseepage and geothermal manifestations are included. Emissions for fires (GFED v4), termites, wild animals and from the ocean are also included. Several sensitivity analyses are carried out. The sensitivity analyses include simulations with and without seasonal cycles in the anthropogenic emission fields (EDGAR v4.2 FT2010 vs EDGAR v4.3.2), and with and without spatial variations in source specific δ13C-CH4 values, which are used to calculate 13CH4/CH4 emission ratios. The effect of including the seasonal cycle in the anthropogenic emissions were not significant, which means natural sources probably play more important role in determining the seasonal cycle of δ13C-CH4. The global observations of atmospheric CH4 and δ13C-CH4, provided by NOAA’s GMD, the INSTAAR and Royal Holloway, the University of London, are used for evaluation. We present the importance of having reasonable initial fields of atmospheric 13CH4, which will be later used as inputs for CarbonTracker Europe-δ13CH4 (CTE-δ13CH4) data assimilation system to optimise CH4 emissions by source category.
How to cite: Kangasaho, V., Tsuruta, A., Aalto, T., Backman, L., Houweling, S., Krol, M., Peters, W., Luijkx, I., Lienert, S., Joos, F., Dlugokencky, E., Michael, S., White, J., and Fisher, R.: Modelling the seasonal cycle of atmospheric δ13C-CH4 using source specific δ13C-CH4 values, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13274, https://doi.org/10.5194/egusphere-egu2020-13274, 2020.
The atmospheric burden of methane (CH4) has more than doubled since the 18th Century. Currently the abundance of CH4 in the atmosphere is well known, but emission rates from different source sectors are uncertain. CH4 is emitted to the atmosphere from various sources. To better understand the changes in atmospheric CH4 abundance before and after 2006, it is important to study the contribution from these different sources separately. Most CH4 source have process specific δ13C-CH4 values, which can be used to broadly identify source sectors.
This study examines the seasonal cycle of atmospheric δ13C-CH4 in recent decades using the TM5 atmospheric transport. TM5 is driven by ECMWF ERA-Interim meteorological fields, and uses pre-calculated OH-fields and reaction rates with Cl and O(1D) to account for the CH4 sink processes in the atmosphere. TM5 is run at a 1ox1o resolution over Europe and globally at 6ox4o. Emissions for enteric fermentation and manure management, landfills and waste water treatment, rice cultivation, coal industry, oil and gas industry, and residential are taken from the EDGAR inventory. Natural emission for wetlands, peatlands and mineral soils, and soil sinks are taken from the LPX-Bern DYPTOP ecosystem model. Emissions for geological seeps including onshore hydrocarbon macro-seeps (including mud volcanoes), submarine (offshore) seeps, diffuse microseepage and geothermal manifestations are included. Emissions for fires (GFED v4), termites, wild animals and from the ocean are also included. Several sensitivity analyses are carried out. The sensitivity analyses include simulations with and without seasonal cycles in the anthropogenic emission fields (EDGAR v4.2 FT2010 vs EDGAR v4.3.2), and with and without spatial variations in source specific δ13C-CH4 values, which are used to calculate 13CH4/CH4 emission ratios. The effect of including the seasonal cycle in the anthropogenic emissions were not significant, which means natural sources probably play more important role in determining the seasonal cycle of δ13C-CH4. The global observations of atmospheric CH4 and δ13C-CH4, provided by NOAA’s GMD, the INSTAAR and Royal Holloway, the University of London, are used for evaluation. We present the importance of having reasonable initial fields of atmospheric 13CH4, which will be later used as inputs for CarbonTracker Europe-δ13CH4 (CTE-δ13CH4) data assimilation system to optimise CH4 emissions by source category.
How to cite: Kangasaho, V., Tsuruta, A., Aalto, T., Backman, L., Houweling, S., Krol, M., Peters, W., Luijkx, I., Lienert, S., Joos, F., Dlugokencky, E., Michael, S., White, J., and Fisher, R.: Modelling the seasonal cycle of atmospheric δ13C-CH4 using source specific δ13C-CH4 values, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13274, https://doi.org/10.5194/egusphere-egu2020-13274, 2020.
EGU2020-7841 | Displays | BG2.1
Simulating the seasonal cycle of 13CSebastian Lienert, Christoph Köstler, Sönke Zaehle, and Fortunat Joos
We investigate the seasonal cycle of δ13CO2 using the Earth system model of intermediate complexity Bern3D-LPX. Using a model of atmospheric transport (TM3), the spatial fields of simulated 13CO2 and CO2 exchange are translated to local δ13CO2 anomalies, which are then compared to atmospheric measurements. We discuss the ability of the model to accurately simulate the atmospheric seasonal δ13CO2 cycle, which could prove to be a valuable novel observational constraint. The coupled simulation allows us to distinguish the relative importance of the biosphere and ocean in determining the seasonal cycle of δ13CO2 at different measurement sites across the world.
The amplitude of the seasonal cycle of δ13CO2 is of particular importance to quantify land biosphere processes. The decreasing δ13CO2 of the atmosphere during the last decades (Suess effect) leads to a divergence of the δ13C signature in assimilation and heterotrophic respiration, because of the long lifetime of soil pools. This is expected to lead to a high sensitivity of the seasonal amplitude to the amount of soil respiration. The effect of changes in soil turnover times on the simulated seasonal cycle is explored with factorial simulations of the Dynamic Global Vegetation Model LPX-Bern.
How to cite: Lienert, S., Köstler, C., Zaehle, S., and Joos, F.: Simulating the seasonal cycle of 13C, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7841, https://doi.org/10.5194/egusphere-egu2020-7841, 2020.
We investigate the seasonal cycle of δ13CO2 using the Earth system model of intermediate complexity Bern3D-LPX. Using a model of atmospheric transport (TM3), the spatial fields of simulated 13CO2 and CO2 exchange are translated to local δ13CO2 anomalies, which are then compared to atmospheric measurements. We discuss the ability of the model to accurately simulate the atmospheric seasonal δ13CO2 cycle, which could prove to be a valuable novel observational constraint. The coupled simulation allows us to distinguish the relative importance of the biosphere and ocean in determining the seasonal cycle of δ13CO2 at different measurement sites across the world.
The amplitude of the seasonal cycle of δ13CO2 is of particular importance to quantify land biosphere processes. The decreasing δ13CO2 of the atmosphere during the last decades (Suess effect) leads to a divergence of the δ13C signature in assimilation and heterotrophic respiration, because of the long lifetime of soil pools. This is expected to lead to a high sensitivity of the seasonal amplitude to the amount of soil respiration. The effect of changes in soil turnover times on the simulated seasonal cycle is explored with factorial simulations of the Dynamic Global Vegetation Model LPX-Bern.
How to cite: Lienert, S., Köstler, C., Zaehle, S., and Joos, F.: Simulating the seasonal cycle of 13C, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7841, https://doi.org/10.5194/egusphere-egu2020-7841, 2020.
EGU2020-20422 | Displays | BG2.1
The influence of light on soil community structure and consequences for soil CO2, CO18O and COS exchangeLisa Wingate, Clement Foucault, Nicolas Fanin, Joana Sauze, Pierre-Alain Maron, Virginie Nowak, Sebastian Terrat, Samuel Mondy, Evert van Schaik, Olivier Crouzet, Jérôme Ogée, and Steven Wohl
The stable oxygen isotope composition of atmospheric CO2 and the mixing ratio of carbonyl sulphide (COS) are potential tracers of biospheric CO2 fluxes at large scales. However, the use of these tracers hinges on our ability to understand and better predict the activity of the enzyme carbonic anhydrase (CA) in different soil microbial groups, including phototrophs. Because different classes of the CA family (α, β and γ) may have different affinities to CO2 and COS and their expression should also vary between different microbial groups, differences in the community structure could impact the ‘community-integrated’ CA activity differently for CO2 and COS. Four soils of different pH were incubated in the dark or with a diurnal cycle for forty days to vary the abundance of native phototrophs. Fluxes of CO2, CO18O and COS were measured to estimate CA activity alongside the abundance of bacteria, fungi and phototroph genes. The abundance of soil phototrophs increased most at higher soil pH. In the light, the strength of the soil CO2 sink and the CA-driven CO2-H2O isotopic exchange rates correlated with phototroph abundance. COS uptake rates were attributed to fungi whose abundance was positively enhanced in alkaline soils but only in the presence of increased phototrophs. In addition we developed a metabarcoding approach to reveal the interactions of specific taxonomic groups incuding photosynthetic eukaryotic algae and cyanobacteria when exposed to light and their impact on flux rates. Our findings demonstrate that soil-atmosphere CO2, COS and CO18O fluxes are strongly regulated by the microbial community structure in response to changes in soil pH and light availability and support the idea that different members of the microbial community express different classes of CA, with different affinities to CO2 and COS.
How to cite: Wingate, L., Foucault, C., Fanin, N., Sauze, J., Maron, P.-A., Nowak, V., Terrat, S., Mondy, S., van Schaik, E., Crouzet, O., Ogée, J., and Wohl, S.: The influence of light on soil community structure and consequences for soil CO2, CO18O and COS exchange , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20422, https://doi.org/10.5194/egusphere-egu2020-20422, 2020.
The stable oxygen isotope composition of atmospheric CO2 and the mixing ratio of carbonyl sulphide (COS) are potential tracers of biospheric CO2 fluxes at large scales. However, the use of these tracers hinges on our ability to understand and better predict the activity of the enzyme carbonic anhydrase (CA) in different soil microbial groups, including phototrophs. Because different classes of the CA family (α, β and γ) may have different affinities to CO2 and COS and their expression should also vary between different microbial groups, differences in the community structure could impact the ‘community-integrated’ CA activity differently for CO2 and COS. Four soils of different pH were incubated in the dark or with a diurnal cycle for forty days to vary the abundance of native phototrophs. Fluxes of CO2, CO18O and COS were measured to estimate CA activity alongside the abundance of bacteria, fungi and phototroph genes. The abundance of soil phototrophs increased most at higher soil pH. In the light, the strength of the soil CO2 sink and the CA-driven CO2-H2O isotopic exchange rates correlated with phototroph abundance. COS uptake rates were attributed to fungi whose abundance was positively enhanced in alkaline soils but only in the presence of increased phototrophs. In addition we developed a metabarcoding approach to reveal the interactions of specific taxonomic groups incuding photosynthetic eukaryotic algae and cyanobacteria when exposed to light and their impact on flux rates. Our findings demonstrate that soil-atmosphere CO2, COS and CO18O fluxes are strongly regulated by the microbial community structure in response to changes in soil pH and light availability and support the idea that different members of the microbial community express different classes of CA, with different affinities to CO2 and COS.
How to cite: Wingate, L., Foucault, C., Fanin, N., Sauze, J., Maron, P.-A., Nowak, V., Terrat, S., Mondy, S., van Schaik, E., Crouzet, O., Ogée, J., and Wohl, S.: The influence of light on soil community structure and consequences for soil CO2, CO18O and COS exchange , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20422, https://doi.org/10.5194/egusphere-egu2020-20422, 2020.
EGU2020-3528 | Displays | BG2.1 | Highlight
Isotopic Measurements: A New Tool for Studying Global Carbonyl SulfideSophie Baartman, Elena Popa, Maarten Krol, and Thomas Röckmann
Carbonyl sulfide (COS) is the most abundant sulfur-containing trace gas in the atmosphere, with an average mixing ratio of 500 parts per trillion (ppt). It has a relatively long lifetime of about 2 years, which permits it to travel into the stratosphere. There, it likely plays an important role in the formation of stratospheric sulfur aerosols (SSA), which have a cooling effect on the Earth’s climate. Furthermore, during photosynthetic uptake by plants, COS follows essentially the same pathway as CO2, and therefore COS could be used to estimate gross primary production (GPP). Unfortunately, significant uncertainties still exist in the sources, sinks and global cycling of COS, which need to be overcome. Isotopic measurements of COS could be a promising tool for constraining the COS budget, as well as for investigating its role in the formation of stratospheric sulfur aerosols.
Within the framework of the COS-OCS project, we developed a new pre-concentration and measurement system at Utrecht University, that can measure d33S and d34S from COS from 2 to 5 L air samples, with a current precision of about 5‰ and 2‰ for d33S and d34S, respectively. The aim of the project is to perform a global-scale characterization of COS isotopes by measuring seasonal, latitudinal and altitudinal variations in the troposphere and stratosphere. Here, I will present the details of the new measurement system and results from various atmospheric samples.
How to cite: Baartman, S., Popa, E., Krol, M., and Röckmann, T.: Isotopic Measurements: A New Tool for Studying Global Carbonyl Sulfide, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3528, https://doi.org/10.5194/egusphere-egu2020-3528, 2020.
Carbonyl sulfide (COS) is the most abundant sulfur-containing trace gas in the atmosphere, with an average mixing ratio of 500 parts per trillion (ppt). It has a relatively long lifetime of about 2 years, which permits it to travel into the stratosphere. There, it likely plays an important role in the formation of stratospheric sulfur aerosols (SSA), which have a cooling effect on the Earth’s climate. Furthermore, during photosynthetic uptake by plants, COS follows essentially the same pathway as CO2, and therefore COS could be used to estimate gross primary production (GPP). Unfortunately, significant uncertainties still exist in the sources, sinks and global cycling of COS, which need to be overcome. Isotopic measurements of COS could be a promising tool for constraining the COS budget, as well as for investigating its role in the formation of stratospheric sulfur aerosols.
Within the framework of the COS-OCS project, we developed a new pre-concentration and measurement system at Utrecht University, that can measure d33S and d34S from COS from 2 to 5 L air samples, with a current precision of about 5‰ and 2‰ for d33S and d34S, respectively. The aim of the project is to perform a global-scale characterization of COS isotopes by measuring seasonal, latitudinal and altitudinal variations in the troposphere and stratosphere. Here, I will present the details of the new measurement system and results from various atmospheric samples.
How to cite: Baartman, S., Popa, E., Krol, M., and Röckmann, T.: Isotopic Measurements: A New Tool for Studying Global Carbonyl Sulfide, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3528, https://doi.org/10.5194/egusphere-egu2020-3528, 2020.
EGU2020-18822 | Displays | BG2.1
Measuring oxygen fluxes in a European beech forest - results from the OXYFLUX projectAlexander Knohl, Jan Muhr, M. Julian Deventer, Emanuel Blei, Jelka Braden-Behrens, Edgar Tunsch, Mattia Bonazza, Penelope A. Pickers, David Nelson, Mark Zahniser, and Andrew C. Manning
Ecosystem assimilation and respiration result in anti-correlated fluxes of oxygen (O2) and carbon dioxide (CO2). While the ecosystem O2:CO2 molar exchange ratio is usually assumed constant at ≈1.1 on longer timescales, variations for individual ecosystem compartments or shorter timescales have been reported in the past. We hypothesize that these exchange ratio variations can reveal information about underlying biotic and abiotic processes in plants or soil that cannot be inferred from traditional net ecosystem exchange measurements. To date, oxygen measurements have not been widely implemented in ecosystem research due to the technical challenge of detecting very small variations (ppm-level) against an atmospheric background of ≈21% (≈210,000 ppm).
We evaluate the performance and applicability of two commercial oxygen analyzers Integrated into custom-built gas handling and calibration systems, and report first results from measurements of O2:CO2 exchange ratios in a managed European beech forest in central Germany.
System 1, consisting of a relatively slow response differential fuel cell O2 analyzer (Oxzilla FC-2, Sable Systems Inc., USA) together with a non-dispersive infrared CO2 analyzer (LI-840, LI-COR Biosciences, USA), was used to simultaneously measure O2 and CO2 mole fractions in air sampled from soil, stem, and branch chambers. Chambers were operated in an open flow-through steady-state design aimed at equilibrium mole fractions within a few hundred ppm of atmospheric background. Using a multiplexer valve design, we measured chambers sequentially by directing chamber air at a controlled flow rate to the gas analyzing system.
Preliminary analysis of August to December 2018 data show that chamber-based flux estimates for O2 and CO2 were anti-correlated at all times, and that the O2:CO2 molar exchange ratios (defined as ‑Δ[O2]/Δ[CO2]) varied considerably over time and between the different ecosystem compartments (soil, stems, and branches) with a median (interquartile range) of 0.94 (0.75 to 1.09).
In system 2, CO2, O2 and water vapor (H2O) measurements were performed with a fast response (5 Hz) gas analyzer using tunable infrared laser direct absorption spectroscopy (TILDAS, Aerodyne Research Inc., USA). We measured fluctuations in O2:CO2 exchange ratios in air sampled at 1.5 times the canopy height, i.e. a typical eddy covariance set-up.
Analysis of the high-frequency data revealed instrumental noise levels of ≈±12 ppm O2. Fourier transformation of high-frequency data obtained during well-mixed boundary layer conditions indicate that turbulent fluctuations of the O2 signal were insufficiently resolved when compared to the CO2 power spectra. When averaging high-frequency data to 2-min aggregates, instrumental noise was reduced to ≈±1 ppm, similar to the precision of system 1. At this timescale, contemporaneous measurements of above-canopy air revealed agreement between the fuel cell and the laser systems, both in O2 mole fraction (R2 = 0.6 slope = 0.7, MAE = 1.6 ppm) and in estimated O2:CO2 exchange ratios of 1.01 and 0.97 for system 1 and 2, respectively.
Our presentation will expand on the applicability of both O2 and CO2 measurement systems with regard to micrometeorological flux techniques. Specifically, we elucidate on the potential of using O2 flux measurements as a constraint for estimating ecosystem-scale gross primary production.
How to cite: Knohl, A., Muhr, J., Deventer, M. J., Blei, E., Braden-Behrens, J., Tunsch, E., Bonazza, M., Pickers, P. A., Nelson, D., Zahniser, M., and Manning, A. C.: Measuring oxygen fluxes in a European beech forest - results from the OXYFLUX project, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18822, https://doi.org/10.5194/egusphere-egu2020-18822, 2020.
Ecosystem assimilation and respiration result in anti-correlated fluxes of oxygen (O2) and carbon dioxide (CO2). While the ecosystem O2:CO2 molar exchange ratio is usually assumed constant at ≈1.1 on longer timescales, variations for individual ecosystem compartments or shorter timescales have been reported in the past. We hypothesize that these exchange ratio variations can reveal information about underlying biotic and abiotic processes in plants or soil that cannot be inferred from traditional net ecosystem exchange measurements. To date, oxygen measurements have not been widely implemented in ecosystem research due to the technical challenge of detecting very small variations (ppm-level) against an atmospheric background of ≈21% (≈210,000 ppm).
We evaluate the performance and applicability of two commercial oxygen analyzers Integrated into custom-built gas handling and calibration systems, and report first results from measurements of O2:CO2 exchange ratios in a managed European beech forest in central Germany.
System 1, consisting of a relatively slow response differential fuel cell O2 analyzer (Oxzilla FC-2, Sable Systems Inc., USA) together with a non-dispersive infrared CO2 analyzer (LI-840, LI-COR Biosciences, USA), was used to simultaneously measure O2 and CO2 mole fractions in air sampled from soil, stem, and branch chambers. Chambers were operated in an open flow-through steady-state design aimed at equilibrium mole fractions within a few hundred ppm of atmospheric background. Using a multiplexer valve design, we measured chambers sequentially by directing chamber air at a controlled flow rate to the gas analyzing system.
Preliminary analysis of August to December 2018 data show that chamber-based flux estimates for O2 and CO2 were anti-correlated at all times, and that the O2:CO2 molar exchange ratios (defined as ‑Δ[O2]/Δ[CO2]) varied considerably over time and between the different ecosystem compartments (soil, stems, and branches) with a median (interquartile range) of 0.94 (0.75 to 1.09).
In system 2, CO2, O2 and water vapor (H2O) measurements were performed with a fast response (5 Hz) gas analyzer using tunable infrared laser direct absorption spectroscopy (TILDAS, Aerodyne Research Inc., USA). We measured fluctuations in O2:CO2 exchange ratios in air sampled at 1.5 times the canopy height, i.e. a typical eddy covariance set-up.
Analysis of the high-frequency data revealed instrumental noise levels of ≈±12 ppm O2. Fourier transformation of high-frequency data obtained during well-mixed boundary layer conditions indicate that turbulent fluctuations of the O2 signal were insufficiently resolved when compared to the CO2 power spectra. When averaging high-frequency data to 2-min aggregates, instrumental noise was reduced to ≈±1 ppm, similar to the precision of system 1. At this timescale, contemporaneous measurements of above-canopy air revealed agreement between the fuel cell and the laser systems, both in O2 mole fraction (R2 = 0.6 slope = 0.7, MAE = 1.6 ppm) and in estimated O2:CO2 exchange ratios of 1.01 and 0.97 for system 1 and 2, respectively.
Our presentation will expand on the applicability of both O2 and CO2 measurement systems with regard to micrometeorological flux techniques. Specifically, we elucidate on the potential of using O2 flux measurements as a constraint for estimating ecosystem-scale gross primary production.
How to cite: Knohl, A., Muhr, J., Deventer, M. J., Blei, E., Braden-Behrens, J., Tunsch, E., Bonazza, M., Pickers, P. A., Nelson, D., Zahniser, M., and Manning, A. C.: Measuring oxygen fluxes in a European beech forest - results from the OXYFLUX project, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18822, https://doi.org/10.5194/egusphere-egu2020-18822, 2020.
EGU2020-20741 | Displays | BG2.1
17O18O and 18O18O in ice core O2 from Greenland: implications to reconstruct past atmospheric photochemistryAmzad Laskar, Rahul Peethambaran, Sergey Gromov, Thomas Blunier, and Thomas Roeckmann
Abundances of 17O18O and 18O18O (also called clumped isotopes and denoted by Δ35 and Δ36) of O2 in firn and ice core air are novel tracers that can be useful to study past changes in atmospheric photochemistry and temperature. We present Δ35 and Δ36 values measured in firn and ice core air O2 from North Greenland (NEEM; 77.45°N 51.06°W). The aim is to reconstruct the preindustrial-industrial, Holocene and glacial-interglacial variation in the tropospheric ozone photochemistry and temperature. Measurements of Δ35 and Δ36 are carried out using a high-resolution stable isotope ratio mass spectrometer Thermo Fisher 253 ULTRA[1]. Our measurements of Δ35 and Δ36 across past air, from archive samples, to the modern-day show significant changes in the atmospheric photochemistry via ozone burdening and stratospheric- tropospheric transport processes. We will present the measurement results along with a detailed discussion on the dominant process using explicit dynamic simulations of ∆36 in the AC-GCM EMAC model [2,3,4].
How to cite: Laskar, A., Peethambaran, R., Gromov, S., Blunier, T., and Roeckmann, T.: 17O18O and 18O18O in ice core O2 from Greenland: implications to reconstruct past atmospheric photochemistry , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20741, https://doi.org/10.5194/egusphere-egu2020-20741, 2020.
Abundances of 17O18O and 18O18O (also called clumped isotopes and denoted by Δ35 and Δ36) of O2 in firn and ice core air are novel tracers that can be useful to study past changes in atmospheric photochemistry and temperature. We present Δ35 and Δ36 values measured in firn and ice core air O2 from North Greenland (NEEM; 77.45°N 51.06°W). The aim is to reconstruct the preindustrial-industrial, Holocene and glacial-interglacial variation in the tropospheric ozone photochemistry and temperature. Measurements of Δ35 and Δ36 are carried out using a high-resolution stable isotope ratio mass spectrometer Thermo Fisher 253 ULTRA[1]. Our measurements of Δ35 and Δ36 across past air, from archive samples, to the modern-day show significant changes in the atmospheric photochemistry via ozone burdening and stratospheric- tropospheric transport processes. We will present the measurement results along with a detailed discussion on the dominant process using explicit dynamic simulations of ∆36 in the AC-GCM EMAC model [2,3,4].
How to cite: Laskar, A., Peethambaran, R., Gromov, S., Blunier, T., and Roeckmann, T.: 17O18O and 18O18O in ice core O2 from Greenland: implications to reconstruct past atmospheric photochemistry , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20741, https://doi.org/10.5194/egusphere-egu2020-20741, 2020.
EGU2020-6708 | Displays | BG2.1
Triple isotope effects accompanying evaporation of water: new insights from laboratory experimentsAnna Pierchala, Kazimierz Rozanski, Marek Dulinski, Zbigniew Gorczyca, and Robert Czub
Stable isotopes of hydrogen and oxygen (2H and 18O) are often used for quantification of water budgets of lakes and other surface water bodies, in particular for the assessment of underground components of those budgets [1]. Recent advances in laser spectroscopy enabled simultaneous analyses of 2H, 18O and 17O content in water, with measurement uncertainties comparable (δ18O) or surpassing (δ2H) those routinely achieved by off-line sample preparation methods combined with conventional IRMS technique [2]. This open up the doors for improving reliability of isotope-aided budgets of surface water bodies by adding third isotope tracer (17O). This, however, requires adequate information on triple isotope effects accompanying evaporation of water, in particular the kinetic isotope effect related to evaporation of 1H217O isotopologue.
Here we present the results of dedicated laboratory experiments aimed at quantification of triple isotope effects accompanying evaporation of water under fully developed diffusive sublayer [3]. Identical containers with predefined mass of water of known isotopic composition were placed in an isolated chamber with controlled atmosphere during the experiment (temperature, relative humidity). The chamber was flushed with synthetic air. At regular time intervals (approximately one week) containers were removed one by one from the chamber, the remaining mass of water in the removed container was determined gravimetrically, and stored for subsequent isotope analyses. The flow rate was adjusted at each step of the process to keep humidity inside the chamber constant. Evaporation continued until approximately half of the initial mass of water was removed from the containers. The experiment was repeated under diiferent conditions inside the chamber (two different temperatures and three different values of relative humidty).
The results of the experiments were interpreted in the framework of Craig-Gordon model of evaporation [3]. It turned out that the assumption often used in the description of isotopic effects accompanying evaporation that liquid phase is isotopically homogeneous during the process, leads to conflicting results for three isotope systems in use. However, if surface enrichment of the liquid phase, different for each heavy isotopologue (1H2H16O, 1H218O, 1H217O) is included in the model, consistent results for all three isotopes can be achieved, with calculated kinetic fractionation factor for 1H217O isotopologue equal 14.76 ± 0.48 ‰,. This value agrees, within the quoted uncertainty, with the value of 14.60 ± 0.30 ‰ obtained by Barkan and Luz [4].
Acknowledgements: The presented work was supported by National Science Centre (research grant No. 2016/23/B/ST10/00909) and by the Ministry of Science and Higher Education (project no. 16.16.220.842 B02)
References:
[1] Rozanski K. Froehlich K. Mook WG. Technical Documents in Hydrology, No. 39, Vol. III, UNESCO, Paris, 2001 117 pp.
[2] Pierchala A, Rozanski K, Dulinski M, Gorczyca Z, Marzec M, Czub R, Isotopes in Environmental and Health Studies, 2019 (55) 290-307.
[3] Horita, J. Rozanski K. Cohen S. 2007. Isotopes in Environmental and Health Studies, 2007 (44) 23-49.
[4] Barkan E. Luz B. Rapid Commun. Mass Spectrom., 2007(21) 2999-3005.
How to cite: Pierchala, A., Rozanski, K., Dulinski, M., Gorczyca, Z., and Czub, R.: Triple isotope effects accompanying evaporation of water: new insights from laboratory experiments, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6708, https://doi.org/10.5194/egusphere-egu2020-6708, 2020.
Stable isotopes of hydrogen and oxygen (2H and 18O) are often used for quantification of water budgets of lakes and other surface water bodies, in particular for the assessment of underground components of those budgets [1]. Recent advances in laser spectroscopy enabled simultaneous analyses of 2H, 18O and 17O content in water, with measurement uncertainties comparable (δ18O) or surpassing (δ2H) those routinely achieved by off-line sample preparation methods combined with conventional IRMS technique [2]. This open up the doors for improving reliability of isotope-aided budgets of surface water bodies by adding third isotope tracer (17O). This, however, requires adequate information on triple isotope effects accompanying evaporation of water, in particular the kinetic isotope effect related to evaporation of 1H217O isotopologue.
Here we present the results of dedicated laboratory experiments aimed at quantification of triple isotope effects accompanying evaporation of water under fully developed diffusive sublayer [3]. Identical containers with predefined mass of water of known isotopic composition were placed in an isolated chamber with controlled atmosphere during the experiment (temperature, relative humidity). The chamber was flushed with synthetic air. At regular time intervals (approximately one week) containers were removed one by one from the chamber, the remaining mass of water in the removed container was determined gravimetrically, and stored for subsequent isotope analyses. The flow rate was adjusted at each step of the process to keep humidity inside the chamber constant. Evaporation continued until approximately half of the initial mass of water was removed from the containers. The experiment was repeated under diiferent conditions inside the chamber (two different temperatures and three different values of relative humidty).
The results of the experiments were interpreted in the framework of Craig-Gordon model of evaporation [3]. It turned out that the assumption often used in the description of isotopic effects accompanying evaporation that liquid phase is isotopically homogeneous during the process, leads to conflicting results for three isotope systems in use. However, if surface enrichment of the liquid phase, different for each heavy isotopologue (1H2H16O, 1H218O, 1H217O) is included in the model, consistent results for all three isotopes can be achieved, with calculated kinetic fractionation factor for 1H217O isotopologue equal 14.76 ± 0.48 ‰,. This value agrees, within the quoted uncertainty, with the value of 14.60 ± 0.30 ‰ obtained by Barkan and Luz [4].
Acknowledgements: The presented work was supported by National Science Centre (research grant No. 2016/23/B/ST10/00909) and by the Ministry of Science and Higher Education (project no. 16.16.220.842 B02)
References:
[1] Rozanski K. Froehlich K. Mook WG. Technical Documents in Hydrology, No. 39, Vol. III, UNESCO, Paris, 2001 117 pp.
[2] Pierchala A, Rozanski K, Dulinski M, Gorczyca Z, Marzec M, Czub R, Isotopes in Environmental and Health Studies, 2019 (55) 290-307.
[3] Horita, J. Rozanski K. Cohen S. 2007. Isotopes in Environmental and Health Studies, 2007 (44) 23-49.
[4] Barkan E. Luz B. Rapid Commun. Mass Spectrom., 2007(21) 2999-3005.
How to cite: Pierchala, A., Rozanski, K., Dulinski, M., Gorczyca, Z., and Czub, R.: Triple isotope effects accompanying evaporation of water: new insights from laboratory experiments, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6708, https://doi.org/10.5194/egusphere-egu2020-6708, 2020.
EGU2020-8881 | Displays | BG2.1
Interannual analysis of high spatially-resolved δ18O and δ2H data in precipitation across North-East ItalyMauro Masiol, Daniele Zannoni, Barbara Stenni, Giuliano Dreossi, Luca Zini, Chiara Calligaris, Daniele Karlicek, Marzia Michelini, Onelio Flora, Franco Cucchi, and Francesco Treu
Stable water isotopes are widely-used tracers to investigate hydrological processes occurring in the atmosphere and to determine the geospatial origin of water, i.e. to acquire useful information about the hydrological cycles over catchment basins and to find the origin of water recharging rivers, aquifers, and springs. Mapping the isotopic composition of precipitation provides hydrological and climate information at regional and global scales. However, the isotopic composition of precipitation is usually analyzed at large scales with a limited spatial resolution. In Italy, a few studies mapped the oxygen stable isotopes using annually-averaged data, not accounting for the strong seasonality of the isotopic composition linked to climatic and weather factors. To partially fill this gap, the present study proposes a detailed analysis of more than 2250 isotope data (δ18O, δ2H, and deuterium excess) related to precipitations collected in the Friuli Venezia Giulia (FVG) region (Italy) with monthly or seasonal frequency in 36 sites between 1984 and 2015.
The FVG region lies at the north-eastern end of Italy, bordering Austria in the North and Slovenia in the East, and extends over ~7.9·103 km2. From a hydrogeological point of view, FVG is an interesting case study. Large highly-permeable carbonate aquifers are present in the Alps and Prealps, while the southern part of the region is characterized by an alluvial plain, split by the spring belt into two sectors: the High Plain in the North, characterized by an highly-permeable unconfined aquifer, and the Low Plain in the South, characterized by a system of confined and artesian aquifers. All the aquifers are recharged by the effective precipitations which in the FVG exhibits among the highest annual precipitation rates in Italy (with peaks >3000 mm/year).
For the present research, the isotopic data were used: (i) to analyze the spatial and seasonal variability of isotopic composition; (ii) to relate water isotopes with orography and weather parameters collected from meteorological stations as well as using ECMWF ERA5 reanalysis; (iii) to reconstruct the local meteoric water lines across the FVG at annual and seasonal bases; (iv) to quantify interannual trends and analyze their spatial distribution; and (iv) to model the spatial distribution of isotope content in precipitation and create annual and seasonal maps.
How to cite: Masiol, M., Zannoni, D., Stenni, B., Dreossi, G., Zini, L., Calligaris, C., Karlicek, D., Michelini, M., Flora, O., Cucchi, F., and Treu, F.: Interannual analysis of high spatially-resolved δ18O and δ2H data in precipitation across North-East Italy, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8881, https://doi.org/10.5194/egusphere-egu2020-8881, 2020.
Stable water isotopes are widely-used tracers to investigate hydrological processes occurring in the atmosphere and to determine the geospatial origin of water, i.e. to acquire useful information about the hydrological cycles over catchment basins and to find the origin of water recharging rivers, aquifers, and springs. Mapping the isotopic composition of precipitation provides hydrological and climate information at regional and global scales. However, the isotopic composition of precipitation is usually analyzed at large scales with a limited spatial resolution. In Italy, a few studies mapped the oxygen stable isotopes using annually-averaged data, not accounting for the strong seasonality of the isotopic composition linked to climatic and weather factors. To partially fill this gap, the present study proposes a detailed analysis of more than 2250 isotope data (δ18O, δ2H, and deuterium excess) related to precipitations collected in the Friuli Venezia Giulia (FVG) region (Italy) with monthly or seasonal frequency in 36 sites between 1984 and 2015.
The FVG region lies at the north-eastern end of Italy, bordering Austria in the North and Slovenia in the East, and extends over ~7.9·103 km2. From a hydrogeological point of view, FVG is an interesting case study. Large highly-permeable carbonate aquifers are present in the Alps and Prealps, while the southern part of the region is characterized by an alluvial plain, split by the spring belt into two sectors: the High Plain in the North, characterized by an highly-permeable unconfined aquifer, and the Low Plain in the South, characterized by a system of confined and artesian aquifers. All the aquifers are recharged by the effective precipitations which in the FVG exhibits among the highest annual precipitation rates in Italy (with peaks >3000 mm/year).
For the present research, the isotopic data were used: (i) to analyze the spatial and seasonal variability of isotopic composition; (ii) to relate water isotopes with orography and weather parameters collected from meteorological stations as well as using ECMWF ERA5 reanalysis; (iii) to reconstruct the local meteoric water lines across the FVG at annual and seasonal bases; (iv) to quantify interannual trends and analyze their spatial distribution; and (iv) to model the spatial distribution of isotope content in precipitation and create annual and seasonal maps.
How to cite: Masiol, M., Zannoni, D., Stenni, B., Dreossi, G., Zini, L., Calligaris, C., Karlicek, D., Michelini, M., Flora, O., Cucchi, F., and Treu, F.: Interannual analysis of high spatially-resolved δ18O and δ2H data in precipitation across North-East Italy, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8881, https://doi.org/10.5194/egusphere-egu2020-8881, 2020.
BG2.2 – The ancient DNA revolution: sedaDNA from Pleistocene-Holocene lacustrine and marine sediments
EGU2020-9605 | Displays | BG2.2
Ancient sedimentary DNA reveals long-term impact of climate change on northern floraInger Alsos and the ECOGEN and IceAGenT teams
Arctic and alpine species are disproportionally affected by climate change, and knowledge about their ability to survive or disperse is essential for their long-term conservation. Ancient sedimentary DNA (sedaDNA) has improved as a proxy for reconstructing past floras, and may now be applied in high throughput analyses. Our lab has analysed, or is in the process of analysing, sedaDNA from ~40 long (up to 26 000 years old) and 11 short (0-1000 years old) lake sediment cores from the Europe (Alps, Norway, Svalbard, Iceland, Polar Urals). Both general and site-specific patterns have emerged from these data. For example, the taxa recorded in sedaDNA often indicate a warmer climate than that which has been inferred based on pollen records; this is in concordance with macrofossil evidence. Also, the limits of past northern tree lines may have been underestimated based on pollen studies. Some heathland species, such as Vaccinium spp. and Empetrum, often show a time lag in arrival compared with other species with similar climatic requirements. Thus, despite the fact that they have berries and therefore are well adapted to long-distance dispersal by birds, our data show they are constrained from rapid responses to climate changes. Other patterns are site-specific. For example, we see a stepwise doubling of floristic richness from the Last Glacial Maximum to the Holocene in the Polar Urals, which is barely detectable in the pollen analyses. Further, the majority of taxa with a mainly arctic-alpine distributions survived the early-Holocene climate warming, when shrub and trees entered the region, probably due to a very heterogeneous landscape that allows co-existence of species with different requirements. In contrast, arctic-alpine taxa disappear from the catchment a subset of the lakes studied in North Norway after shrub and forest expansion. Linking this type of information to characteristics of these biogeographic regions may provide useful when planning for future nature reserves. In the near future, the combination of many sites, complete DNA reference libraries, and emerging molecular methods will allow for the tracking of individual species through time and space.
How to cite: Alsos, I. and the ECOGEN and IceAGenT teams: Ancient sedimentary DNA reveals long-term impact of climate change on northern flora, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9605, https://doi.org/10.5194/egusphere-egu2020-9605, 2020.
Arctic and alpine species are disproportionally affected by climate change, and knowledge about their ability to survive or disperse is essential for their long-term conservation. Ancient sedimentary DNA (sedaDNA) has improved as a proxy for reconstructing past floras, and may now be applied in high throughput analyses. Our lab has analysed, or is in the process of analysing, sedaDNA from ~40 long (up to 26 000 years old) and 11 short (0-1000 years old) lake sediment cores from the Europe (Alps, Norway, Svalbard, Iceland, Polar Urals). Both general and site-specific patterns have emerged from these data. For example, the taxa recorded in sedaDNA often indicate a warmer climate than that which has been inferred based on pollen records; this is in concordance with macrofossil evidence. Also, the limits of past northern tree lines may have been underestimated based on pollen studies. Some heathland species, such as Vaccinium spp. and Empetrum, often show a time lag in arrival compared with other species with similar climatic requirements. Thus, despite the fact that they have berries and therefore are well adapted to long-distance dispersal by birds, our data show they are constrained from rapid responses to climate changes. Other patterns are site-specific. For example, we see a stepwise doubling of floristic richness from the Last Glacial Maximum to the Holocene in the Polar Urals, which is barely detectable in the pollen analyses. Further, the majority of taxa with a mainly arctic-alpine distributions survived the early-Holocene climate warming, when shrub and trees entered the region, probably due to a very heterogeneous landscape that allows co-existence of species with different requirements. In contrast, arctic-alpine taxa disappear from the catchment a subset of the lakes studied in North Norway after shrub and forest expansion. Linking this type of information to characteristics of these biogeographic regions may provide useful when planning for future nature reserves. In the near future, the combination of many sites, complete DNA reference libraries, and emerging molecular methods will allow for the tracking of individual species through time and space.
How to cite: Alsos, I. and the ECOGEN and IceAGenT teams: Ancient sedimentary DNA reveals long-term impact of climate change on northern flora, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9605, https://doi.org/10.5194/egusphere-egu2020-9605, 2020.
EGU2020-19272 | Displays | BG2.2
Shotgun DNA, pollen and biological multi-proxy analysis of Lateglacial lake sediments from Monticchio, ItalyLaura Parducci, Kevin Nota, Willy Tinner, Jacqueline van Leeuwen, Pim van der Knaap, Dirk Sachse, Zuobing Liang, Achim Brauer, Markus J. Schwab, Xuery Zhao, Aldo Marchetto, Andrea Lami, and Sabine Wulf
We used shotgun DNA sequencing of the full metagenome preserved in varved lake sediments from southern Italy (Lago Grande di Monticchio) to investigate the whole diversity of taxonomic groups present. We combine sedimentary aDNA and pollen data as well as other biological multi-proxy data and tested if it was possible to correlate the relative abundances of plants and other biological communities to distinct climatic shifts that occurred between the Late Glacial and Holocene. In addition, we used the metabarcoding technique to compare the two sequencing approaches specifically for plants.
Our studies showed that the inhibition of DNA replication was almost absent in older (full glacial) sediment samples while it increased substantially in more recent samples. DNA provides a strong signal of plant community changes and a large number of new plant taxa were recorded. A comparison between sequencing approaches and proxies highlights differences and similarities and supports earlier findings that plants growing close to or within a lake are often recorded by DNA and that DNA provides important complementary information to that collected from palaeoecological analyses. Nevertheless, increasing DNA reference libraries and enrichment strategies prior to sequencing are necessary to improve the potential and accuracy of plant identification using the metagenomic approach.
How to cite: Parducci, L., Nota, K., Tinner, W., van Leeuwen, J., van der Knaap, P., Sachse, D., Liang, Z., Brauer, A., Schwab, M. J., Zhao, X., Marchetto, A., Lami, A., and Wulf, S.: Shotgun DNA, pollen and biological multi-proxy analysis of Lateglacial lake sediments from Monticchio, Italy, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19272, https://doi.org/10.5194/egusphere-egu2020-19272, 2020.
We used shotgun DNA sequencing of the full metagenome preserved in varved lake sediments from southern Italy (Lago Grande di Monticchio) to investigate the whole diversity of taxonomic groups present. We combine sedimentary aDNA and pollen data as well as other biological multi-proxy data and tested if it was possible to correlate the relative abundances of plants and other biological communities to distinct climatic shifts that occurred between the Late Glacial and Holocene. In addition, we used the metabarcoding technique to compare the two sequencing approaches specifically for plants.
Our studies showed that the inhibition of DNA replication was almost absent in older (full glacial) sediment samples while it increased substantially in more recent samples. DNA provides a strong signal of plant community changes and a large number of new plant taxa were recorded. A comparison between sequencing approaches and proxies highlights differences and similarities and supports earlier findings that plants growing close to or within a lake are often recorded by DNA and that DNA provides important complementary information to that collected from palaeoecological analyses. Nevertheless, increasing DNA reference libraries and enrichment strategies prior to sequencing are necessary to improve the potential and accuracy of plant identification using the metagenomic approach.
How to cite: Parducci, L., Nota, K., Tinner, W., van Leeuwen, J., van der Knaap, P., Sachse, D., Liang, Z., Brauer, A., Schwab, M. J., Zhao, X., Marchetto, A., Lami, A., and Wulf, S.: Shotgun DNA, pollen and biological multi-proxy analysis of Lateglacial lake sediments from Monticchio, Italy, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19272, https://doi.org/10.5194/egusphere-egu2020-19272, 2020.
EGU2020-19733 | Displays | BG2.2
Hybridization capture of larch (Larix Mill.) chloroplast genomes from sedimentary ancient DNA reveals past changes of Siberian forestLuise Schulte, Nadine Bernhardt, Kathleen Stoof-Leichsenring, Heike Zimmermann, Luidmila Pestryakova, Laura Epp, and Ulrike Herzschuh
Siberian larch (Larix Mill.) forests dominate vast areas of northern Russia and contribute important ecosystem services to the earth. To be able to predict future responses of these forests to a changing climate, it is important to understand also past dynamics of larch populations. One well-preserved archive to study vegetation changes of the past is sedimentary ancient DNA (sedaDNA) extracted from lake sediment cores. We studied a lake sediment core covering 6700 calibrated years BP, from the Taymyr region in northern Siberia. To enrich the sedaDNA for DNA of our focal species Larix, we combine shotgun sequencing and hybridization capture with long-range PCR-generated baits covering the complete Larix chloroplast genome. In comparison to shotgun sequencing, hybridization capture results in an increase of taxonomically classified reads by several orders of magnitude and the recovery of near-complete chloroplast genomes of Larix. Variation in the chloroplast reads confirm an invasion of Larix gmelinii into the range of Larix sibirica before 6700 years ago. In this time span, both species can be detected at the site, although larch populations have decreased from a forested area to a single-tree tundra at present. This study demonstrates for the first time that hybridization capture applied to ancient DNA from lake sediments can provide genome-scale information and is a viable tool for studying past changes of a specific taxon.
How to cite: Schulte, L., Bernhardt, N., Stoof-Leichsenring, K., Zimmermann, H., Pestryakova, L., Epp, L., and Herzschuh, U.: Hybridization capture of larch (Larix Mill.) chloroplast genomes from sedimentary ancient DNA reveals past changes of Siberian forest, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19733, https://doi.org/10.5194/egusphere-egu2020-19733, 2020.
Siberian larch (Larix Mill.) forests dominate vast areas of northern Russia and contribute important ecosystem services to the earth. To be able to predict future responses of these forests to a changing climate, it is important to understand also past dynamics of larch populations. One well-preserved archive to study vegetation changes of the past is sedimentary ancient DNA (sedaDNA) extracted from lake sediment cores. We studied a lake sediment core covering 6700 calibrated years BP, from the Taymyr region in northern Siberia. To enrich the sedaDNA for DNA of our focal species Larix, we combine shotgun sequencing and hybridization capture with long-range PCR-generated baits covering the complete Larix chloroplast genome. In comparison to shotgun sequencing, hybridization capture results in an increase of taxonomically classified reads by several orders of magnitude and the recovery of near-complete chloroplast genomes of Larix. Variation in the chloroplast reads confirm an invasion of Larix gmelinii into the range of Larix sibirica before 6700 years ago. In this time span, both species can be detected at the site, although larch populations have decreased from a forested area to a single-tree tundra at present. This study demonstrates for the first time that hybridization capture applied to ancient DNA from lake sediments can provide genome-scale information and is a viable tool for studying past changes of a specific taxon.
How to cite: Schulte, L., Bernhardt, N., Stoof-Leichsenring, K., Zimmermann, H., Pestryakova, L., Epp, L., and Herzschuh, U.: Hybridization capture of larch (Larix Mill.) chloroplast genomes from sedimentary ancient DNA reveals past changes of Siberian forest, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19733, https://doi.org/10.5194/egusphere-egu2020-19733, 2020.
EGU2020-10928 | Displays | BG2.2
A sedimentary ancient DNA approach to elucidate the Labrador Sea paleoceanography over the last ~130,000 yearsStijn De Schepper, Jessica Louise Ray, Lisa Griem, Nicolas Van Nieuwenhove, Danielle Magann Grant, Kristine Steinsland, Katrine Sandnes Skaar, and Umer Zeeshan Ijaz
Long sedimentary ancient DNA (sedaDNA) records from the marine environment are at present a curiosity and their utility in paleoceanographic research is not yet fully explored. Nevertheless, a few studies indicate that this ecogenetic repository represents an untapped source of new information with which paleoclimatic and paleoceanographic variability can be more deeply explored. We have generated a sedaDNA record from a 19.6 m-long sediment core in the Labrador Sea (Eirik Drift, south of Greenland). The record extends from the early Holocene to Marine Isotope Stage 5 (ca. 130,000 years ago), and we characterized several important climatic transitions in this time interval using stable isotope stratigraphy, ice-rafted detritus counts, and dinoflagellate cyst census counts. The primary goal of this investigation was to query the sedaDNA record for a biological indication of the last and penultimate deglaciation, as well as Heinrich events identified between 65,000 and 25,000 years ago. Our metabarcoding strategy targeted a broad diversity of eukaryotic organisms through amplification of the V7 hypervariable region of the small subunit ribosomal RNA (SSU rRNA) gene. The preliminary sedaDNA results indicate that eukaryote ancient DNA is present in all samples investigated, including those dating back to Marine Isotope Stage 5. Furthermore, we identified abundance shifts in Protaspidae (cercozoa), diatoms, dinoflagellates, and marine stramenopiles (amongst others) that may be linked to changes in paleoceanography during the last two deglaciations as well as Heinrich events (HE3, HE4).
How to cite: De Schepper, S., Ray, J. L., Griem, L., Van Nieuwenhove, N., Grant, D. M., Steinsland, K., Sandnes Skaar, K., and Ijaz, U. Z.: A sedimentary ancient DNA approach to elucidate the Labrador Sea paleoceanography over the last ~130,000 years, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10928, https://doi.org/10.5194/egusphere-egu2020-10928, 2020.
Long sedimentary ancient DNA (sedaDNA) records from the marine environment are at present a curiosity and their utility in paleoceanographic research is not yet fully explored. Nevertheless, a few studies indicate that this ecogenetic repository represents an untapped source of new information with which paleoclimatic and paleoceanographic variability can be more deeply explored. We have generated a sedaDNA record from a 19.6 m-long sediment core in the Labrador Sea (Eirik Drift, south of Greenland). The record extends from the early Holocene to Marine Isotope Stage 5 (ca. 130,000 years ago), and we characterized several important climatic transitions in this time interval using stable isotope stratigraphy, ice-rafted detritus counts, and dinoflagellate cyst census counts. The primary goal of this investigation was to query the sedaDNA record for a biological indication of the last and penultimate deglaciation, as well as Heinrich events identified between 65,000 and 25,000 years ago. Our metabarcoding strategy targeted a broad diversity of eukaryotic organisms through amplification of the V7 hypervariable region of the small subunit ribosomal RNA (SSU rRNA) gene. The preliminary sedaDNA results indicate that eukaryote ancient DNA is present in all samples investigated, including those dating back to Marine Isotope Stage 5. Furthermore, we identified abundance shifts in Protaspidae (cercozoa), diatoms, dinoflagellates, and marine stramenopiles (amongst others) that may be linked to changes in paleoceanography during the last two deglaciations as well as Heinrich events (HE3, HE4).
How to cite: De Schepper, S., Ray, J. L., Griem, L., Van Nieuwenhove, N., Grant, D. M., Steinsland, K., Sandnes Skaar, K., and Ijaz, U. Z.: A sedimentary ancient DNA approach to elucidate the Labrador Sea paleoceanography over the last ~130,000 years, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10928, https://doi.org/10.5194/egusphere-egu2020-10928, 2020.
EGU2020-17545 | Displays | BG2.2
Exploring diversity of marine eukaryotes across 385 ka old gravity core using sedaDNAInes Barrenechea Angeles, Luc Beaufort, Daniel Ariztegui, and Jan Pawlowski
In the last ten years, sedimentary ancient DNA (sedaDNA) becomes a new proxy for paleoceanographic analyses that provide information about large range of non-fossilized taxa. Usually, the sediment samples destinated for sedaDNA study are immediately frozen after collection or stored in special buffer to preserve the DNA. However, there are many cores that have been collected long time before the advent of paleogenomics and that are commonly refrigerated and stored at 4°C. Here, we test whether such cores can be used as a source of ancient DNA, by analysing the sedaDNA samples from 36 meters long marine gravity core that was stored during 14 years at 4 °C. The core MD05-2920 was retrieved during the MD148/PECTEN – Images XII cruise, in Bismarck Sea, off New Papua Guinea, and records the past 385 ka. We analysed samples from 20 layers spanning the interval from 1.6 ka to 384 ka, where isotopic measures of ∂18O showed significant paleoceanographic changes. We started by analysing a universal eukaryotic marker, the V9 (170 bp) region of the 18S rRNA. However, the obtained datasets were dominated by sequences belonging to species of fungi and amoebae that probably originated from post-collection storage. More data were obtained by using markers specific to selected marine taxa, such as foraminifera, radiolaria, and diatoms. The analysis of these data show clearly that the DNA is preserved in marine sediment down to 385 ka old layers. Our study also shows a possibility to exploit the sedaDNA from refrigerated material stored in cores repositories.
How to cite: Barrenechea Angeles, I., Beaufort, L., Ariztegui, D., and Pawlowski, J.: Exploring diversity of marine eukaryotes across 385 ka old gravity core using sedaDNA, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-17545, https://doi.org/10.5194/egusphere-egu2020-17545, 2020.
In the last ten years, sedimentary ancient DNA (sedaDNA) becomes a new proxy for paleoceanographic analyses that provide information about large range of non-fossilized taxa. Usually, the sediment samples destinated for sedaDNA study are immediately frozen after collection or stored in special buffer to preserve the DNA. However, there are many cores that have been collected long time before the advent of paleogenomics and that are commonly refrigerated and stored at 4°C. Here, we test whether such cores can be used as a source of ancient DNA, by analysing the sedaDNA samples from 36 meters long marine gravity core that was stored during 14 years at 4 °C. The core MD05-2920 was retrieved during the MD148/PECTEN – Images XII cruise, in Bismarck Sea, off New Papua Guinea, and records the past 385 ka. We analysed samples from 20 layers spanning the interval from 1.6 ka to 384 ka, where isotopic measures of ∂18O showed significant paleoceanographic changes. We started by analysing a universal eukaryotic marker, the V9 (170 bp) region of the 18S rRNA. However, the obtained datasets were dominated by sequences belonging to species of fungi and amoebae that probably originated from post-collection storage. More data were obtained by using markers specific to selected marine taxa, such as foraminifera, radiolaria, and diatoms. The analysis of these data show clearly that the DNA is preserved in marine sediment down to 385 ka old layers. Our study also shows a possibility to exploit the sedaDNA from refrigerated material stored in cores repositories.
How to cite: Barrenechea Angeles, I., Beaufort, L., Ariztegui, D., and Pawlowski, J.: Exploring diversity of marine eukaryotes across 385 ka old gravity core using sedaDNA, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-17545, https://doi.org/10.5194/egusphere-egu2020-17545, 2020.
EGU2020-21944 | Displays | BG2.2 | Highlight
The use of sedimentary ancient DNA from lakes in tracing human-environment interactions in the Western AlpsKatharina Dulias, Juliette Knockaert, Charline Giguet-Covex, and Kevin Walsh
Archaeologists working in high altitude-zones in the Alps where faunal remains were absent have until relatively recently, been reliant on palynology in order to infer the probable presence of pastured animals. The development of sedimentary ancient DNA (sedaDNA) analysis has changed this. We are now able, if taphonomic conditions permit, to identify the presence and absence of specific domesticated animals as well as changes in vegetation communities that were a consequence of pastoral activity. Over the past decade, lake sediment DNA has been used by an increasing number of studies to trace past agricultural activities, human presence and landscape changes.
More recently, lake sedaDNA sequencing has proven applicable to investigate the relative impact of human activities, such as transhumance pastoralism, on the vegetation in the catchment of lakes in the Western French Alps and the domestic species used at different time periods. Thus, providing a new outlook on the anthropogenic effect on alpine landscapes.
Our use of sedaDNA is one element in a project designed to elucidate the evolution of transhumance in the Western Alps. While the sequential isotope analyses from domesticated herbivore teeth facilitate our comprehension of seasonal pastoral mobility, the sedaDNA complements this work via its potential for inferring which pastures were frequented and the effect of livestock presence on these environments. This combined approach can demonstrate not only the existence of pastoral practises in the region, but also reconstruct the movement patterns as well as the direct impact of transhumance pastoralism in the Western Alps in a wide chronological and spatial frame.
With the application of advanced bioinformatic techniques, we combine previous data on past and present vegetation with our findings. The genetic data was obtained through the established method of metabarcoding, which is a relevant tool for reconstructing palaeoenvironments. Using the same approach with additional quantitative PCR analysis for mammalian sedaDNA offers even more detailed insights into the presence and possible abundance of domestic species in the lake catchment area.
This application can demonstrate the potential of sedaDNA in reconstructing palaeoenvironments and its relevance in conceptualising long-term ecosystem changes relating to human and non-human agencies.
How to cite: Dulias, K., Knockaert, J., Giguet-Covex, C., and Walsh, K.: The use of sedimentary ancient DNA from lakes in tracing human-environment interactions in the Western Alps, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21944, https://doi.org/10.5194/egusphere-egu2020-21944, 2020.
Archaeologists working in high altitude-zones in the Alps where faunal remains were absent have until relatively recently, been reliant on palynology in order to infer the probable presence of pastured animals. The development of sedimentary ancient DNA (sedaDNA) analysis has changed this. We are now able, if taphonomic conditions permit, to identify the presence and absence of specific domesticated animals as well as changes in vegetation communities that were a consequence of pastoral activity. Over the past decade, lake sediment DNA has been used by an increasing number of studies to trace past agricultural activities, human presence and landscape changes.
More recently, lake sedaDNA sequencing has proven applicable to investigate the relative impact of human activities, such as transhumance pastoralism, on the vegetation in the catchment of lakes in the Western French Alps and the domestic species used at different time periods. Thus, providing a new outlook on the anthropogenic effect on alpine landscapes.
Our use of sedaDNA is one element in a project designed to elucidate the evolution of transhumance in the Western Alps. While the sequential isotope analyses from domesticated herbivore teeth facilitate our comprehension of seasonal pastoral mobility, the sedaDNA complements this work via its potential for inferring which pastures were frequented and the effect of livestock presence on these environments. This combined approach can demonstrate not only the existence of pastoral practises in the region, but also reconstruct the movement patterns as well as the direct impact of transhumance pastoralism in the Western Alps in a wide chronological and spatial frame.
With the application of advanced bioinformatic techniques, we combine previous data on past and present vegetation with our findings. The genetic data was obtained through the established method of metabarcoding, which is a relevant tool for reconstructing palaeoenvironments. Using the same approach with additional quantitative PCR analysis for mammalian sedaDNA offers even more detailed insights into the presence and possible abundance of domestic species in the lake catchment area.
This application can demonstrate the potential of sedaDNA in reconstructing palaeoenvironments and its relevance in conceptualising long-term ecosystem changes relating to human and non-human agencies.
How to cite: Dulias, K., Knockaert, J., Giguet-Covex, C., and Walsh, K.: The use of sedimentary ancient DNA from lakes in tracing human-environment interactions in the Western Alps, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21944, https://doi.org/10.5194/egusphere-egu2020-21944, 2020.
EGU2020-3011 | Displays | BG2.2 | Highlight
Recent ecological trajectory of lake Taihu and land-use history reconstructed from lake sediment DNACharline Giguet-Covex, Qi Lin, Ludovic Gielly, Fabien Arnaud, and Ke Zhang
More than 80% of shallow lake ecosystems in the Yangtze floodplain suffer significant disturbances from the 50’s, especially eutrophication. These environmental degradations and subsequent loss of services are related with the important and rapid development of the agriculture, industry, urban areas and the population boom in the region. Lake Taihu is one of the largest lakes of the floodplain and represents an important water resource (for drinking and fishing) for the population of the two big cities on the lake shore. This lake experimented two shifts toward the degradation of the trophic state: one in the 50-60’s and a second in 80’s.
In order to document the causes of these ecological shifts, we applied the DNA metabarcoding approach on lake sediments and focused on plants as proxy of land use. Whereas this proxy has been successfully applied in many lakes over the world, it has never been tested in large shallow lakes and not in China either.
We show important changes in land use in 50’s and 80’s related with agricultural developments (i.e. intensification) and urban expansion, respectively. In fact, in the 50’s crop plants are increasing (rapeseed and/or cabbage, rice and/or wheat, barley and Poaceae) whereas in 80’s, we record the development of several plants associated to gardens (e.g. ornamental species). Moreover, this last period is characterised by the presence of trees mostly cultivated along stream banks to protect dikes against erosion. Between the 80’s and the years 2000, the plant diversity recorded in the sediment strongly increase, which may be due to higher detrital inputs (i.e. more efficient DNA transfer). The timing in land-use changes corresponds to the main shifts in lake trophic state.
How to cite: Giguet-Covex, C., Lin, Q., Gielly, L., Arnaud, F., and Zhang, K.: Recent ecological trajectory of lake Taihu and land-use history reconstructed from lake sediment DNA , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3011, https://doi.org/10.5194/egusphere-egu2020-3011, 2020.
More than 80% of shallow lake ecosystems in the Yangtze floodplain suffer significant disturbances from the 50’s, especially eutrophication. These environmental degradations and subsequent loss of services are related with the important and rapid development of the agriculture, industry, urban areas and the population boom in the region. Lake Taihu is one of the largest lakes of the floodplain and represents an important water resource (for drinking and fishing) for the population of the two big cities on the lake shore. This lake experimented two shifts toward the degradation of the trophic state: one in the 50-60’s and a second in 80’s.
In order to document the causes of these ecological shifts, we applied the DNA metabarcoding approach on lake sediments and focused on plants as proxy of land use. Whereas this proxy has been successfully applied in many lakes over the world, it has never been tested in large shallow lakes and not in China either.
We show important changes in land use in 50’s and 80’s related with agricultural developments (i.e. intensification) and urban expansion, respectively. In fact, in the 50’s crop plants are increasing (rapeseed and/or cabbage, rice and/or wheat, barley and Poaceae) whereas in 80’s, we record the development of several plants associated to gardens (e.g. ornamental species). Moreover, this last period is characterised by the presence of trees mostly cultivated along stream banks to protect dikes against erosion. Between the 80’s and the years 2000, the plant diversity recorded in the sediment strongly increase, which may be due to higher detrital inputs (i.e. more efficient DNA transfer). The timing in land-use changes corresponds to the main shifts in lake trophic state.
How to cite: Giguet-Covex, C., Lin, Q., Gielly, L., Arnaud, F., and Zhang, K.: Recent ecological trajectory of lake Taihu and land-use history reconstructed from lake sediment DNA , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3011, https://doi.org/10.5194/egusphere-egu2020-3011, 2020.
EGU2020-4846 | Displays | BG2.2
Getting it Together: Combining plant and mammal DNA with Lipid Biomarkers from Irish and Scottish LakesTony Brown, Thierry Fonville, Helen Mackay, Maarten van Hardenbroek, and Inger Alsos
Lowland lakes in Scotland and Ireland have been heavily impacted by human activity since the Neolithic due to forest clearance, agriculture and lakeside settlement. Whilst plant macrofossils, pollen and other microfossils, especially diatoms, have been able to outline these changes many uncertainties remain about the origin and exact nature of these impacts. Obtaining independent measures of both vascular plants and mammals (and other animals) allows for more taxonomically precise reconstructions and the study of long-term biotic interactions. Lipid biomarkers, such as faecal steroids and bile acids, can both validate the mammal DNA, and also indicate the magnitude of agricultural and human lake inputs into the lake ecosystem. Our initial work focused on small artificial islands (crannogs) common in the Celtic parts of the UK. Unusually strong sedaDNA and lipid biomarker results from both plants and animals are believed to result from the creation of a biogeochemical halo around the crannogs due to the direct input of bone and viscera, rapid organic and clastic sedimentation, and a lack of disturbance. The human activities on the artificial islands, such as slaughter, butchery and feasting, caused severe eutrophication of the smaller lakes, which only partially recovered after the abandonment of the sites. Similar but less pronounced effects can be seen at lake-side settlement sites in larger lakes and away from archaeological sites which reflect catchment-wide influences. This paper will present data from crannogs, lake-side sites and from a new study of lakes on small islands on the Celtic Seaboard. These island sites are being studied to test the narrative of ‘marginality’ and a perceived lack of resilience in small islands during the last two thousand years. Overall our sedaDNA and steroid results complement data from both archaeological excavation, survey and traditional palaeoenvironmental proxies to provide a more detailed and comprehensive image of the environment in which our ancestors were operating, the changes they had on their ecosystems and our inheritance of this today.
How to cite: Brown, T., Fonville, T., Mackay, H., van Hardenbroek, M., and Alsos, I.: Getting it Together: Combining plant and mammal DNA with Lipid Biomarkers from Irish and Scottish Lakes, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4846, https://doi.org/10.5194/egusphere-egu2020-4846, 2020.
Lowland lakes in Scotland and Ireland have been heavily impacted by human activity since the Neolithic due to forest clearance, agriculture and lakeside settlement. Whilst plant macrofossils, pollen and other microfossils, especially diatoms, have been able to outline these changes many uncertainties remain about the origin and exact nature of these impacts. Obtaining independent measures of both vascular plants and mammals (and other animals) allows for more taxonomically precise reconstructions and the study of long-term biotic interactions. Lipid biomarkers, such as faecal steroids and bile acids, can both validate the mammal DNA, and also indicate the magnitude of agricultural and human lake inputs into the lake ecosystem. Our initial work focused on small artificial islands (crannogs) common in the Celtic parts of the UK. Unusually strong sedaDNA and lipid biomarker results from both plants and animals are believed to result from the creation of a biogeochemical halo around the crannogs due to the direct input of bone and viscera, rapid organic and clastic sedimentation, and a lack of disturbance. The human activities on the artificial islands, such as slaughter, butchery and feasting, caused severe eutrophication of the smaller lakes, which only partially recovered after the abandonment of the sites. Similar but less pronounced effects can be seen at lake-side settlement sites in larger lakes and away from archaeological sites which reflect catchment-wide influences. This paper will present data from crannogs, lake-side sites and from a new study of lakes on small islands on the Celtic Seaboard. These island sites are being studied to test the narrative of ‘marginality’ and a perceived lack of resilience in small islands during the last two thousand years. Overall our sedaDNA and steroid results complement data from both archaeological excavation, survey and traditional palaeoenvironmental proxies to provide a more detailed and comprehensive image of the environment in which our ancestors were operating, the changes they had on their ecosystems and our inheritance of this today.
How to cite: Brown, T., Fonville, T., Mackay, H., van Hardenbroek, M., and Alsos, I.: Getting it Together: Combining plant and mammal DNA with Lipid Biomarkers from Irish and Scottish Lakes, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4846, https://doi.org/10.5194/egusphere-egu2020-4846, 2020.
EGU2020-5444 | Displays | BG2.2
Ancient plant DNA, macro- and microfossil studies of the lake sediments from the High Arctic lake Tenndammen, SvalbardAnastasia Poliakova, Lena M. Håkansson, Anders Schomacker, Sandra Garces Pastor, and Inger Greve Alsos
Ancient DNA metabarcoding applied together with the investigations of the plant macro-remains, pollen, spores and non-pollen palynomorphs (NPP), open new perspectives and give better taxonomical resolution, allowing to obtain more precise and specific data on the local environment conditions and their changes. So far, only three multiproxy studies that involve both molecular and palaeobotanical/palynological methods are available for the high Arctic archipelago Svalbard. We intend to contribute filling this gap. Therefore, a field trip to Svalbard was undertaken in September, 2019, and three sediment cores were retrieved from the Tenndammen lake (N 78°06.118; E 15°02.024, 7 m asl) which is a small and shallow water body (ca 2.5 m depth). The lake is located in the valley of Colesdalen, a well-known Svalbard’s biodiversity hot spots and a home for about seven to ten thermophilic plant species.
To investigate the Holocene to modern vegetation history of this place, the 85cm core Te2019 was chosen, it was described for lithology, X-rayed, µXRF-scanned, line-scan photographed with high resolution and sampled for sedaDNA, pollen, spores and NPP studies as well as for studies on plant macrofossils. Ten 14C AMS dates were taken in order to establish an age-depth model. The DNA record contains around 100 taxa, most findings of those are supported by pollen studies (Asteraceae, Betula, Brassicaceae, Salix, Saxifraga, Vaccinium/Ericaceae) and by spores (Equisetum and Bryophyta). In addition, various fungi spores were identified. Investigations of plant macro-remains well support findings of the aquatic (i.e. Warnstorfia fluitans) and terrestrial mosses (e.g. Aulacomnium conf. turgidum, Bryum spp., Distichium capillaceum, Calliergon richardsonii, Scorpidium cossonii, Sphagnum spp., Rhizomnium spp.). Besides, fragments of Salix and Betula leaves and fruit parts, various leaf, stem tissues and flower fragments of Saxifraga species were found within the samples from the same depths with the correspondence to DNA records. Three DNA zones (SvDNA 1 – SvDNA3) and one subzone within the earliest zone (SvDNA-1a – SvDNA-1b) were established. Relations between DNA, pollen and macrofossil zones were studied. This study is performed within the “Future ArcTic Ecosystems” (FATE) research program: Initiative for investigation on drivers of diversity and future scenarios from ethnoecology, contemporary ecology and ancient DNA.
How to cite: Poliakova, A., Håkansson, L. M., Schomacker, A., Garces Pastor, S., and Alsos, I. G.: Ancient plant DNA, macro- and microfossil studies of the lake sediments from the High Arctic lake Tenndammen, Svalbard, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5444, https://doi.org/10.5194/egusphere-egu2020-5444, 2020.
Ancient DNA metabarcoding applied together with the investigations of the plant macro-remains, pollen, spores and non-pollen palynomorphs (NPP), open new perspectives and give better taxonomical resolution, allowing to obtain more precise and specific data on the local environment conditions and their changes. So far, only three multiproxy studies that involve both molecular and palaeobotanical/palynological methods are available for the high Arctic archipelago Svalbard. We intend to contribute filling this gap. Therefore, a field trip to Svalbard was undertaken in September, 2019, and three sediment cores were retrieved from the Tenndammen lake (N 78°06.118; E 15°02.024, 7 m asl) which is a small and shallow water body (ca 2.5 m depth). The lake is located in the valley of Colesdalen, a well-known Svalbard’s biodiversity hot spots and a home for about seven to ten thermophilic plant species.
To investigate the Holocene to modern vegetation history of this place, the 85cm core Te2019 was chosen, it was described for lithology, X-rayed, µXRF-scanned, line-scan photographed with high resolution and sampled for sedaDNA, pollen, spores and NPP studies as well as for studies on plant macrofossils. Ten 14C AMS dates were taken in order to establish an age-depth model. The DNA record contains around 100 taxa, most findings of those are supported by pollen studies (Asteraceae, Betula, Brassicaceae, Salix, Saxifraga, Vaccinium/Ericaceae) and by spores (Equisetum and Bryophyta). In addition, various fungi spores were identified. Investigations of plant macro-remains well support findings of the aquatic (i.e. Warnstorfia fluitans) and terrestrial mosses (e.g. Aulacomnium conf. turgidum, Bryum spp., Distichium capillaceum, Calliergon richardsonii, Scorpidium cossonii, Sphagnum spp., Rhizomnium spp.). Besides, fragments of Salix and Betula leaves and fruit parts, various leaf, stem tissues and flower fragments of Saxifraga species were found within the samples from the same depths with the correspondence to DNA records. Three DNA zones (SvDNA 1 – SvDNA3) and one subzone within the earliest zone (SvDNA-1a – SvDNA-1b) were established. Relations between DNA, pollen and macrofossil zones were studied. This study is performed within the “Future ArcTic Ecosystems” (FATE) research program: Initiative for investigation on drivers of diversity and future scenarios from ethnoecology, contemporary ecology and ancient DNA.
How to cite: Poliakova, A., Håkansson, L. M., Schomacker, A., Garces Pastor, S., and Alsos, I. G.: Ancient plant DNA, macro- and microfossil studies of the lake sediments from the High Arctic lake Tenndammen, Svalbard, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5444, https://doi.org/10.5194/egusphere-egu2020-5444, 2020.
EGU2020-7131 | Displays | BG2.2
The dawn of Molecular Genetics in Paleoceanography: tracing Arctic change during the Holocene with marine sedaDNA records from GreenlandSofia Ribeiro, Sara Hardardottir, Jessica Louise Ray, Stijn De Schepper, Audrey Limoges, Connie Lovejoy, and Marit-Solveig Seidenkrantz
As we move towards a “blue” Arctic Ocean in the summer within the next decades, predicting the full range of effects of climate change on the marine arctic environment remains a challenge. This is partly due to the paucity of long-term data on ocean-biosphere-cryosphere interactions over time and partly because, today, much of our knowledge on past ocean variability derives from microfossil and biogeochemical tracers that all have considerable limitations such as preservation biases and low taxonomic resolution or coverage.
Recent studies have revealed sedaDNA as a potential “game-changer” in our ability to reconstruct past ocean conditions, due to the preservation of DNA at low temperatures, and the possibility to capture a much larger fraction of the Arctic marine biome diversity than with classical approaches. However, while sedaDNA has been used in terrestrial, archeological, and lake studies for some years, its application to marine sediment records is still in its infancy.
Here, we will present new results from material recently collected along the two Arctic Ocean outflow shelves off Greenland (Greenland Sea/Fram Strait and Northern Baffin Bay/Nares Strait). We have used a combination of modern and ancient DNA methods applied to seawater, surface sediments, and sediment cores covering the past ca. 12 000 years with the objectives of: 1) characterizing the vertical export of sea ice-associated genetic material through the water column and into the sediments following sea ice melt and 2) exploring the potential of sedaDNA from the circum-polar sea ice dinoflagellate Polarella glacialis as a new sea ice proxy. For the first objective, we followed a comparative metabarcoding approach while the second objective included designing species-specific primers followed by gene copy number quantification by a droplet digital PCR assay.
We argue that sedaDNA will have a critical role in expanding the Paleoceanography “toolbox” and lead to the establishment of a new cross-disciplinary field.
How to cite: Ribeiro, S., Hardardottir, S., Ray, J. L., De Schepper, S., Limoges, A., Lovejoy, C., and Seidenkrantz, M.-S.: The dawn of Molecular Genetics in Paleoceanography: tracing Arctic change during the Holocene with marine sedaDNA records from Greenland , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7131, https://doi.org/10.5194/egusphere-egu2020-7131, 2020.
As we move towards a “blue” Arctic Ocean in the summer within the next decades, predicting the full range of effects of climate change on the marine arctic environment remains a challenge. This is partly due to the paucity of long-term data on ocean-biosphere-cryosphere interactions over time and partly because, today, much of our knowledge on past ocean variability derives from microfossil and biogeochemical tracers that all have considerable limitations such as preservation biases and low taxonomic resolution or coverage.
Recent studies have revealed sedaDNA as a potential “game-changer” in our ability to reconstruct past ocean conditions, due to the preservation of DNA at low temperatures, and the possibility to capture a much larger fraction of the Arctic marine biome diversity than with classical approaches. However, while sedaDNA has been used in terrestrial, archeological, and lake studies for some years, its application to marine sediment records is still in its infancy.
Here, we will present new results from material recently collected along the two Arctic Ocean outflow shelves off Greenland (Greenland Sea/Fram Strait and Northern Baffin Bay/Nares Strait). We have used a combination of modern and ancient DNA methods applied to seawater, surface sediments, and sediment cores covering the past ca. 12 000 years with the objectives of: 1) characterizing the vertical export of sea ice-associated genetic material through the water column and into the sediments following sea ice melt and 2) exploring the potential of sedaDNA from the circum-polar sea ice dinoflagellate Polarella glacialis as a new sea ice proxy. For the first objective, we followed a comparative metabarcoding approach while the second objective included designing species-specific primers followed by gene copy number quantification by a droplet digital PCR assay.
We argue that sedaDNA will have a critical role in expanding the Paleoceanography “toolbox” and lead to the establishment of a new cross-disciplinary field.
How to cite: Ribeiro, S., Hardardottir, S., Ray, J. L., De Schepper, S., Limoges, A., Lovejoy, C., and Seidenkrantz, M.-S.: The dawn of Molecular Genetics in Paleoceanography: tracing Arctic change during the Holocene with marine sedaDNA records from Greenland , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7131, https://doi.org/10.5194/egusphere-egu2020-7131, 2020.
EGU2020-12257 | Displays | BG2.2
Temporal pattern of terrestrial plant diversity in northern FennoscandiaDilli Prasad Rijal, Peter D. Heintzman, Youri Lammers, Nigel Gilles Yoccoz, Tony Gavin Brown, Kelsey Lorberau, Dorothee Ehrich, Iva Pitelkova, Tomasz Goslar, Jostein Bakke, Kari Anne Bråthen, and Inger Greve Alsos
Understanding the dynamics of biodiversity in the past will contribute to a better informed inference of future biodiversity. Palaeoecological patterns in biodiversity are mainly preserved in natural archives such as lake sediments. Using ancient DNA from the sediment of 10 lakes from northern Fennoscandia, we analysed terrestrial plant diversity pattern for the entire Holocene, and how these patterns correspond to drivers of change such as temperature and biota. We modeled temporal trends in taxonomic richness and turnover using generalized additive models (GAM). We included delta oxygen isotope values from North Greenland Ice Core Project as a proxy for regional temperature, and the presence of dominant woody species as biotic drivers of terrestrial plant diversity.
Results show a general tendency of an increase in species richness from the early Holocene onwards, but this pattern is asynchronous across the lakes, with some lakes having a peak in diversity in the mid-Holocene (8,000-6,000 cal. BP), late Holocene (~2,500 cal. BP), or in recent times. The turnover decreases in most of the lakes throughout the Holocene. Meanwhile, it consistently increases in a few lakes. With some exceptions, temperature and biotic variable differentially affects the richness and turnover across the lakes. Our study from multiple lakes and heterogeneous habitats may be able to identify the main drivers of past biodiversity changes in these systems. As a result, it may help us to understand the mechanisms of change so that the impacts of current climate change and biotic factors on biodiversity may be assessed.
Author's list and affiliations:
Dilli Prasad Rijal1, Peter D. Heintzman2, Youri Lammers2, Nigel Gilles Yoccoz1, Tony Gavin Brown2,3, Kelsey Lorberau1, Dorothee Ehrich1, Iva Pitelkova2, Tomasz Goslar4, Jostein Bakke5, Kari Anne Bråthen1, Inger Greve Alsos2
1Department of Arctic and Marine Biology, UiT - The Arctic University of Norway, NO-9037 Tromsø, Norway.
2The Arctic University Museum of Norway, UiT - The Arctic University of Norway, NO-9037 Tromsø, Norway.
3School of Geography and Environmental Science, University of Southampton, Highfield, Southampton, SO17 1BJ, UK.4
4Faculty of Physics, Adam Mickiewicz University, Poznan, Poland
5Department of Earth Science, University of Bergen, 5020 Bergen, Norway
How to cite: Rijal, D. P., Heintzman, P. D., Lammers, Y., Yoccoz, N. G., Brown, T. G., Lorberau, K., Ehrich, D., Pitelkova, I., Goslar, T., Bakke, J., Bråthen, K. A., and Alsos, I. G.: Temporal pattern of terrestrial plant diversity in northern Fennoscandia, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12257, https://doi.org/10.5194/egusphere-egu2020-12257, 2020.
Understanding the dynamics of biodiversity in the past will contribute to a better informed inference of future biodiversity. Palaeoecological patterns in biodiversity are mainly preserved in natural archives such as lake sediments. Using ancient DNA from the sediment of 10 lakes from northern Fennoscandia, we analysed terrestrial plant diversity pattern for the entire Holocene, and how these patterns correspond to drivers of change such as temperature and biota. We modeled temporal trends in taxonomic richness and turnover using generalized additive models (GAM). We included delta oxygen isotope values from North Greenland Ice Core Project as a proxy for regional temperature, and the presence of dominant woody species as biotic drivers of terrestrial plant diversity.
Results show a general tendency of an increase in species richness from the early Holocene onwards, but this pattern is asynchronous across the lakes, with some lakes having a peak in diversity in the mid-Holocene (8,000-6,000 cal. BP), late Holocene (~2,500 cal. BP), or in recent times. The turnover decreases in most of the lakes throughout the Holocene. Meanwhile, it consistently increases in a few lakes. With some exceptions, temperature and biotic variable differentially affects the richness and turnover across the lakes. Our study from multiple lakes and heterogeneous habitats may be able to identify the main drivers of past biodiversity changes in these systems. As a result, it may help us to understand the mechanisms of change so that the impacts of current climate change and biotic factors on biodiversity may be assessed.
Author's list and affiliations:
Dilli Prasad Rijal1, Peter D. Heintzman2, Youri Lammers2, Nigel Gilles Yoccoz1, Tony Gavin Brown2,3, Kelsey Lorberau1, Dorothee Ehrich1, Iva Pitelkova2, Tomasz Goslar4, Jostein Bakke5, Kari Anne Bråthen1, Inger Greve Alsos2
1Department of Arctic and Marine Biology, UiT - The Arctic University of Norway, NO-9037 Tromsø, Norway.
2The Arctic University Museum of Norway, UiT - The Arctic University of Norway, NO-9037 Tromsø, Norway.
3School of Geography and Environmental Science, University of Southampton, Highfield, Southampton, SO17 1BJ, UK.4
4Faculty of Physics, Adam Mickiewicz University, Poznan, Poland
5Department of Earth Science, University of Bergen, 5020 Bergen, Norway
How to cite: Rijal, D. P., Heintzman, P. D., Lammers, Y., Yoccoz, N. G., Brown, T. G., Lorberau, K., Ehrich, D., Pitelkova, I., Goslar, T., Bakke, J., Bråthen, K. A., and Alsos, I. G.: Temporal pattern of terrestrial plant diversity in northern Fennoscandia, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12257, https://doi.org/10.5194/egusphere-egu2020-12257, 2020.
EGU2020-16933 | Displays | BG2.2
Quantification of past arctic herbivore populations from ancient sedimentary DNA by hybridization capture enrichment, metabarcoding, and droplet digital PCRPeter Seeber, Ulrike Herzschuh, Beth Shapiro, Hendrik Poinar, Duane Froese, and Laura Epp
The Arctic is currently experiencing dramatic ecosystem changes with immediate effects on biodiversity. Sedimentary ancient DNA is a unique and valuable source of information on ecosystem changes over a long temporal scale. Understanding these past changes may help predict the relative impacts of climate change, herbivory, and anthropogenic effects on present ecosystems. In the BiodivERsA project “Future ArcTic Ecosystems” (FATE), we aim to assess changes in past herbivore abundance over large spatial (circumarctic) and temporal (Last Glacial Maximum until today) scales using three (semi-)quantitative methods on sedimentary ancient DNA of plants, herbivores, and herbivore proxies (i.e. coprophilous fungi and parasites) – metabarcoding, hybridization capture enrichment, and droplet digital PCR (ddPCR).
Metabarcoding was applied to DNA of plants and also of coprophilous fungi as proxies of herbivore abundance. This approach is an established and important tool for assessing biodiversity from recent environmental DNA; however, quantification of specific taxa may be complicated due to inherent methodological biases (e.g. amplification efficiency due to primer bias), and our current understanding of the factors affecting potential quantification by metabarcoding is still limited. Moreover, ancient DNA is highly fragmented, which may prevent PCR amplification altogether. As an alternative, target enrichment by hybridization capture is a method that does not depend on target PCR amplification and is typically not affected by DNA fragmentation. Furthermore, hybridization capture can be used to target numerous genetic markers of a vast range of highly diverse taxa. We are using hybridization capture to enrich DNA of a range of herbivore species and numerous proxy organisms. Metabarcoding and hybridization capture can be applied to a vast taxonomic range and may be used quantitatively based on relative sequencing read abundance; however, the respective read abundance may be confounded by random and systematic errors and other biases. We are therefore using an additional quantification method – ddPCR – on several selected taxa, which is taxon-specific but facilitates highly accurate quantification of template DNA molecules in a given sample. The combined taxonomic and quantitative results of these three approaches are used to generate highly resolved datasets on past vegetation and herbivores, which allows us to reconstruct past vegetation changes over large spatial (circumarctic) and temporal (Last Glacial Maximum until today) scales.
Detailed inferences on herbivore abundance and reconstructing past ecological conditions may be important for ecosystem management and conservation in the face of accelerating changes in Arctic ecosystems due to global climate change.
How to cite: Seeber, P., Herzschuh, U., Shapiro, B., Poinar, H., Froese, D., and Epp, L.: Quantification of past arctic herbivore populations from ancient sedimentary DNA by hybridization capture enrichment, metabarcoding, and droplet digital PCR, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-16933, https://doi.org/10.5194/egusphere-egu2020-16933, 2020.
The Arctic is currently experiencing dramatic ecosystem changes with immediate effects on biodiversity. Sedimentary ancient DNA is a unique and valuable source of information on ecosystem changes over a long temporal scale. Understanding these past changes may help predict the relative impacts of climate change, herbivory, and anthropogenic effects on present ecosystems. In the BiodivERsA project “Future ArcTic Ecosystems” (FATE), we aim to assess changes in past herbivore abundance over large spatial (circumarctic) and temporal (Last Glacial Maximum until today) scales using three (semi-)quantitative methods on sedimentary ancient DNA of plants, herbivores, and herbivore proxies (i.e. coprophilous fungi and parasites) – metabarcoding, hybridization capture enrichment, and droplet digital PCR (ddPCR).
Metabarcoding was applied to DNA of plants and also of coprophilous fungi as proxies of herbivore abundance. This approach is an established and important tool for assessing biodiversity from recent environmental DNA; however, quantification of specific taxa may be complicated due to inherent methodological biases (e.g. amplification efficiency due to primer bias), and our current understanding of the factors affecting potential quantification by metabarcoding is still limited. Moreover, ancient DNA is highly fragmented, which may prevent PCR amplification altogether. As an alternative, target enrichment by hybridization capture is a method that does not depend on target PCR amplification and is typically not affected by DNA fragmentation. Furthermore, hybridization capture can be used to target numerous genetic markers of a vast range of highly diverse taxa. We are using hybridization capture to enrich DNA of a range of herbivore species and numerous proxy organisms. Metabarcoding and hybridization capture can be applied to a vast taxonomic range and may be used quantitatively based on relative sequencing read abundance; however, the respective read abundance may be confounded by random and systematic errors and other biases. We are therefore using an additional quantification method – ddPCR – on several selected taxa, which is taxon-specific but facilitates highly accurate quantification of template DNA molecules in a given sample. The combined taxonomic and quantitative results of these three approaches are used to generate highly resolved datasets on past vegetation and herbivores, which allows us to reconstruct past vegetation changes over large spatial (circumarctic) and temporal (Last Glacial Maximum until today) scales.
Detailed inferences on herbivore abundance and reconstructing past ecological conditions may be important for ecosystem management and conservation in the face of accelerating changes in Arctic ecosystems due to global climate change.
How to cite: Seeber, P., Herzschuh, U., Shapiro, B., Poinar, H., Froese, D., and Epp, L.: Quantification of past arctic herbivore populations from ancient sedimentary DNA by hybridization capture enrichment, metabarcoding, and droplet digital PCR, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-16933, https://doi.org/10.5194/egusphere-egu2020-16933, 2020.
EGU2020-19336 | Displays | BG2.2
Holocene plant community changes in the Western Alps, as inferred from sedaDNASandra Garces Pastor, Peter D. Heintzman, Youri Lammers, Scarlett Zetter, Antony Gavin Brown, Kevin Walsh, Charline Giguet Covex, Willy Tinner, Christoph Schwörer, Oliver Heiri, Sébastien Lavergne, Eric Coissac, Boris Vannière, Isabelle Jouffroy-Bapicot, Andreas Tribsch, and Inger G. Alsos
Climate change has already started to rapidly transform ecosystems. Predicted scenarios of future ecosystem changes inferred from contemporary ecological data may be uncertain, as these records do not provide the temporal depth needed to understand how ecosystems have responded to past periods of climatic changes and human pressure. However, palaeoecological approaches allow for the reconstruction of past ecosystem changes, including the composition of plant communities, thereby enabling researchers to improve models of future climatic change impacts.
Lakes located in high-mountain ranges, such as the Alps, are suitable ecosystems for studying long-term species turnover and environmental shifts driven by past climate changes, as they preserve a wealth of palaeoecological information in its sediment archives. The Alpine ecosystems are expected to be affected by ongoing climate warming, prompting an upward displacement of vegetation, elevated replacement rates and species losses, with projected increased intensity of impacts in the future.
Previous studies of the Alps have used pollen and macrofossil evidence to infer past vegetation dynamics. However, microscopic morphological determinations are time-consuming and some inferences have been limited by low taxonomic resolution and the biased preservation of identifiable remains. Ancient DNA from organisms is also often preserved in the sediment (sedaDNA), which can rapidly be detected and analysed using metabarcoding approaches. Together with a novel, region-specific barcode reference database for the flora of the Alps (PhyloAlps; 4500 taxa), we can bypass the morphological limitations of previous palaeobotanical studies and refine taxonomic resolution, often to the species level.
To investigate the origin and impact of past environmental changes in alpine ecosystems throughout the Holocene, we performed a multi-proxy reconstruction of 9 lake sediment cores from the Western Alps (France, Italy and Switzerland). Using metabarcoding, we reconstructed the plant community composition and used XRF, magnetic susceptibility, and loss-on-ignition data to understand lacustrine dynamics during the Holocene for each lake. We will present the major findings from these analysed records, the general ecosystem shifts inferred, and the impacts of perturbations caused by human pressure and climatic changes.
How to cite: Garces Pastor, S., D. Heintzman, P., Lammers, Y., Zetter, S., Gavin Brown, A., Walsh, K., Giguet Covex, C., Tinner, W., Schwörer, C., Heiri, O., Lavergne, S., Coissac, E., Vannière, B., Jouffroy-Bapicot, I., Tribsch, A., and G. Alsos, I.: Holocene plant community changes in the Western Alps, as inferred from sedaDNA , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19336, https://doi.org/10.5194/egusphere-egu2020-19336, 2020.
Climate change has already started to rapidly transform ecosystems. Predicted scenarios of future ecosystem changes inferred from contemporary ecological data may be uncertain, as these records do not provide the temporal depth needed to understand how ecosystems have responded to past periods of climatic changes and human pressure. However, palaeoecological approaches allow for the reconstruction of past ecosystem changes, including the composition of plant communities, thereby enabling researchers to improve models of future climatic change impacts.
Lakes located in high-mountain ranges, such as the Alps, are suitable ecosystems for studying long-term species turnover and environmental shifts driven by past climate changes, as they preserve a wealth of palaeoecological information in its sediment archives. The Alpine ecosystems are expected to be affected by ongoing climate warming, prompting an upward displacement of vegetation, elevated replacement rates and species losses, with projected increased intensity of impacts in the future.
Previous studies of the Alps have used pollen and macrofossil evidence to infer past vegetation dynamics. However, microscopic morphological determinations are time-consuming and some inferences have been limited by low taxonomic resolution and the biased preservation of identifiable remains. Ancient DNA from organisms is also often preserved in the sediment (sedaDNA), which can rapidly be detected and analysed using metabarcoding approaches. Together with a novel, region-specific barcode reference database for the flora of the Alps (PhyloAlps; 4500 taxa), we can bypass the morphological limitations of previous palaeobotanical studies and refine taxonomic resolution, often to the species level.
To investigate the origin and impact of past environmental changes in alpine ecosystems throughout the Holocene, we performed a multi-proxy reconstruction of 9 lake sediment cores from the Western Alps (France, Italy and Switzerland). Using metabarcoding, we reconstructed the plant community composition and used XRF, magnetic susceptibility, and loss-on-ignition data to understand lacustrine dynamics during the Holocene for each lake. We will present the major findings from these analysed records, the general ecosystem shifts inferred, and the impacts of perturbations caused by human pressure and climatic changes.
How to cite: Garces Pastor, S., D. Heintzman, P., Lammers, Y., Zetter, S., Gavin Brown, A., Walsh, K., Giguet Covex, C., Tinner, W., Schwörer, C., Heiri, O., Lavergne, S., Coissac, E., Vannière, B., Jouffroy-Bapicot, I., Tribsch, A., and G. Alsos, I.: Holocene plant community changes in the Western Alps, as inferred from sedaDNA , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19336, https://doi.org/10.5194/egusphere-egu2020-19336, 2020.
EGU2020-19582 | Displays | BG2.2
Holocene reconstruction of plant and mammal communities in the Austrian and Italian AlpsScarlett Zetter, Sandra Garces Pastor, Youri Lammers, Antony Gavin Brown, Andreas Tribsch, Eric Coissac, Sebastien Lavergne, Peter D. Heintzman, and Inger G. Alsos
The Eastern Alps in Europe have a rich alpine biodiversity and a long archaeological history. However, the palaeoecological record of this region has been relatively understudied, which has limited our understanding of the formation of the contemporary vegetation since the end of the last Ice Age, including the likely impacts of changes in climate and human pressures through pasturing and agriculture. To fill this knowledge gap, we are using plant and mammal sedaDNA taken from five sub-alpine to alpine Holocene lake cores in the Austrian and Italian Eastern Alps: Grosser Winterleitensee, Krummschnabelsee, Mittlerer Kaltenbachsee and Sulzkarsee (Austria), and Laghetti Colbricon (Italy). We will outline our first results on full plant community reconstructions from some lakes and on the mammal presence. Findings from the plant record will allow us for uncovering the Holocene dynamics of plant communities, and for identifying key intervals where biodiversity may have been strongly affected by anthropogenic factors and climate change. The mammal sedaDNA data will also be used to track the presence of domestic livestock through time and therefore provide insight into past human pastoral practices in the region.
How to cite: Zetter, S., Garces Pastor, S., Lammers, Y., Brown, A. G., Tribsch, A., Coissac, E., Lavergne, S., Heintzman, P. D., and Alsos, I. G.: Holocene reconstruction of plant and mammal communities in the Austrian and Italian Alps, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19582, https://doi.org/10.5194/egusphere-egu2020-19582, 2020.
The Eastern Alps in Europe have a rich alpine biodiversity and a long archaeological history. However, the palaeoecological record of this region has been relatively understudied, which has limited our understanding of the formation of the contemporary vegetation since the end of the last Ice Age, including the likely impacts of changes in climate and human pressures through pasturing and agriculture. To fill this knowledge gap, we are using plant and mammal sedaDNA taken from five sub-alpine to alpine Holocene lake cores in the Austrian and Italian Eastern Alps: Grosser Winterleitensee, Krummschnabelsee, Mittlerer Kaltenbachsee and Sulzkarsee (Austria), and Laghetti Colbricon (Italy). We will outline our first results on full plant community reconstructions from some lakes and on the mammal presence. Findings from the plant record will allow us for uncovering the Holocene dynamics of plant communities, and for identifying key intervals where biodiversity may have been strongly affected by anthropogenic factors and climate change. The mammal sedaDNA data will also be used to track the presence of domestic livestock through time and therefore provide insight into past human pastoral practices in the region.
How to cite: Zetter, S., Garces Pastor, S., Lammers, Y., Brown, A. G., Tribsch, A., Coissac, E., Lavergne, S., Heintzman, P. D., and Alsos, I. G.: Holocene reconstruction of plant and mammal communities in the Austrian and Italian Alps, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19582, https://doi.org/10.5194/egusphere-egu2020-19582, 2020.
EGU2020-20209 | Displays | BG2.2
Sedimentary DNA analyses decipher past and present aquatic plant diversity in Siberian and Tibetan lakesKathleen R. Stoof-Leichsenring, Sisi Liu, Weihan Jia, Laura S. Epp, Kai Li, Luidmila A. Pestryakova, and Ulrike Herzschuh
In recent decades Arctic and Alpine terrestrial ecosystems experienced an increase in aquatic plant biomass due to global warming, which motivates the investigation of aquatic plant diversity in High Arctic and Alpine regions, whereof so far only sparse data exist. Aquatic plants are important primary producers, food resource and supply habitat structure and thus have been widely used to infer the ecological status of modern lakes. Identification of past aquatic plants using macrofossil records only partly reflects the past community structure due to differences in spatial distribution, preservation and seed abundance of taxa. Thus, in our study we applied sedimentary DNA analyses to detect aquatic plant diversity in modern surface samples of over 200 lakes from various localities across Northern, Eastern and Central Siberia and the Tibetan plateau and selected lake core samples (covering Holocene timescales) from these regions. We applied metabarcoding of the trnL marker and used Illumina technology for NGS amplicon sequencing of PCR products and performed OBITools pipeline for bioinformatic analyses and taxonomic assignment. Firstly, our study aims to evaluate if the trnL marker typically used for detecting terrestrial plant diversity can deliver valuable information on the composition of aquatic plants. Secondly, we will use ordination analyses to test which environmental variables (e.g. lake water depth, pH and conductivity) shape the diversity of genetically detected aquatic plants. Thirdly, we will analyze past genetic aquatic plant diversity from Holocene lake cores and compare it with the modern genetic data set to reconstruct putative drivers of past diversity changes. So far, we identified free-floating (Nymphoides, Ceratophyllum), submerged (Potamogeton sp.), wetland taxa (Caltha, Carex, Juncus) and bryophytes (Sphagnum) in modern and past genetic data sets. Further statistical analyses are pending and will be finalized and presented at EGU.
How to cite: Stoof-Leichsenring, K. R., Liu, S., Jia, W., Epp, L. S., Li, K., Pestryakova, L. A., and Herzschuh, U.: Sedimentary DNA analyses decipher past and present aquatic plant diversity in Siberian and Tibetan lakes, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20209, https://doi.org/10.5194/egusphere-egu2020-20209, 2020.
In recent decades Arctic and Alpine terrestrial ecosystems experienced an increase in aquatic plant biomass due to global warming, which motivates the investigation of aquatic plant diversity in High Arctic and Alpine regions, whereof so far only sparse data exist. Aquatic plants are important primary producers, food resource and supply habitat structure and thus have been widely used to infer the ecological status of modern lakes. Identification of past aquatic plants using macrofossil records only partly reflects the past community structure due to differences in spatial distribution, preservation and seed abundance of taxa. Thus, in our study we applied sedimentary DNA analyses to detect aquatic plant diversity in modern surface samples of over 200 lakes from various localities across Northern, Eastern and Central Siberia and the Tibetan plateau and selected lake core samples (covering Holocene timescales) from these regions. We applied metabarcoding of the trnL marker and used Illumina technology for NGS amplicon sequencing of PCR products and performed OBITools pipeline for bioinformatic analyses and taxonomic assignment. Firstly, our study aims to evaluate if the trnL marker typically used for detecting terrestrial plant diversity can deliver valuable information on the composition of aquatic plants. Secondly, we will use ordination analyses to test which environmental variables (e.g. lake water depth, pH and conductivity) shape the diversity of genetically detected aquatic plants. Thirdly, we will analyze past genetic aquatic plant diversity from Holocene lake cores and compare it with the modern genetic data set to reconstruct putative drivers of past diversity changes. So far, we identified free-floating (Nymphoides, Ceratophyllum), submerged (Potamogeton sp.), wetland taxa (Caltha, Carex, Juncus) and bryophytes (Sphagnum) in modern and past genetic data sets. Further statistical analyses are pending and will be finalized and presented at EGU.
How to cite: Stoof-Leichsenring, K. R., Liu, S., Jia, W., Epp, L. S., Li, K., Pestryakova, L. A., and Herzschuh, U.: Sedimentary DNA analyses decipher past and present aquatic plant diversity in Siberian and Tibetan lakes, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20209, https://doi.org/10.5194/egusphere-egu2020-20209, 2020.
EGU2020-21385 | Displays | BG2.2
Early Holocene presences of Norway spruce (Picea abies L. Karst.) at high latitudes in Norway and Sweden: the genetic story of up to 9550 year old spruce clones in the Scandinavian mountainsKevin Nota and Laura Parducci
The survival of boreal trees in ice-free cryptic refugia’s at high latitudes during the Last Glacial Maximum has been subjected to a long-standing debate. Norway spruce (Picea abies L. Karst) is generally believed to have recolonised Scandinavia from the east. Spruce appears for the first time in the pollen assemblages in central Sweden around 3000 years before present (yr BP), however, a growing body of macrofossil and genetic evidence suggested that spruce might have survived in ice-free areas around the Norwegian shore or closer to the Weichselian ice sheet than previously thought. These satellite populations may have contributed to the recolonisation of Scandinavia from the west and may be ancestors to the ancient (up to 9550-year-old) but still living clonal spruce trees occurring today in the Scandinavian mountains (e. g. Old Tjikko and Old Rasmus). Genetic research has shown that modern P. abies contain two sequence variants for the maternal inherited mitochondrial mh05 fragment across its Eurasian distribution, of which one is unique to Scandinavia. The Scandinavian variant shows the highest frequency in western Scandinavia and its modern distribution suggests that it was already present before the last glacial period. The Scandinavian variant was also detected in lake sediment dating back to 10300 yr BP at Trøndelag in Central Norway (63°N).
We are using sensitive melting curve qPCR assay and high-throughput sequencing to detect the presence of the Scandinavian variant in several sediment cores covering Scandinavia and north-east & southern Russia. So far, the qPCR melting curve assay detected the Scandinavian variant in peat sediment from northern Finland (~52,000 – 42,000 yr BP), in lake sediments in central Sweden and central Norway (~10,000 – 900 yr BP) and in southern Sweden (~12000 – 11000 yr BP), which is far earlier than currently believed. Additional lakes are being processed and samples positive for the Scandinavian variant will be sequenced to confirm sequence identity. We are also conducting population genetic analysis of the ancient clonal spruce stands to see how these trees are related to the modern spruce forest and weather they have contributed to the recolonization of Scandinavia. The results of this study will increase our understanding of the post glacial colonisation of P. abies in Scandinavia after the Last Glacial Maximum.
How to cite: Nota, K. and Parducci, L.: Early Holocene presences of Norway spruce (Picea abies L. Karst.) at high latitudes in Norway and Sweden: the genetic story of up to 9550 year old spruce clones in the Scandinavian mountains, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21385, https://doi.org/10.5194/egusphere-egu2020-21385, 2020.
The survival of boreal trees in ice-free cryptic refugia’s at high latitudes during the Last Glacial Maximum has been subjected to a long-standing debate. Norway spruce (Picea abies L. Karst) is generally believed to have recolonised Scandinavia from the east. Spruce appears for the first time in the pollen assemblages in central Sweden around 3000 years before present (yr BP), however, a growing body of macrofossil and genetic evidence suggested that spruce might have survived in ice-free areas around the Norwegian shore or closer to the Weichselian ice sheet than previously thought. These satellite populations may have contributed to the recolonisation of Scandinavia from the west and may be ancestors to the ancient (up to 9550-year-old) but still living clonal spruce trees occurring today in the Scandinavian mountains (e. g. Old Tjikko and Old Rasmus). Genetic research has shown that modern P. abies contain two sequence variants for the maternal inherited mitochondrial mh05 fragment across its Eurasian distribution, of which one is unique to Scandinavia. The Scandinavian variant shows the highest frequency in western Scandinavia and its modern distribution suggests that it was already present before the last glacial period. The Scandinavian variant was also detected in lake sediment dating back to 10300 yr BP at Trøndelag in Central Norway (63°N).
We are using sensitive melting curve qPCR assay and high-throughput sequencing to detect the presence of the Scandinavian variant in several sediment cores covering Scandinavia and north-east & southern Russia. So far, the qPCR melting curve assay detected the Scandinavian variant in peat sediment from northern Finland (~52,000 – 42,000 yr BP), in lake sediments in central Sweden and central Norway (~10,000 – 900 yr BP) and in southern Sweden (~12000 – 11000 yr BP), which is far earlier than currently believed. Additional lakes are being processed and samples positive for the Scandinavian variant will be sequenced to confirm sequence identity. We are also conducting population genetic analysis of the ancient clonal spruce stands to see how these trees are related to the modern spruce forest and weather they have contributed to the recolonization of Scandinavia. The results of this study will increase our understanding of the post glacial colonisation of P. abies in Scandinavia after the Last Glacial Maximum.
How to cite: Nota, K. and Parducci, L.: Early Holocene presences of Norway spruce (Picea abies L. Karst.) at high latitudes in Norway and Sweden: the genetic story of up to 9550 year old spruce clones in the Scandinavian mountains, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21385, https://doi.org/10.5194/egusphere-egu2020-21385, 2020.
EGU2020-22045 | Displays | BG2.2
The making of sedimentary DNA: Insights from distribution patterns of DNA in sedimentsLaura S. Epp, Anan Ibrahim, Yi Wang, Lisa Gutbrod, Patrick Bartolin, Franziska Chucholl, Rebecca Kuehner, David Schleheck, and Peter Andreas Seeber
Sedimentary ancient DNA has by now become a recognized source of information on past biodiversity change, but our understanding of its dynamics and taphonomy is still limited. While for environmental DNA in water, dedicated investigations on its provenance and degradation are being increasingly carried out, we know very little about sedimentary DNA, in particular with respect to aquatic organisms. We are therefore conducting investigations on the distribution of DNA in surface sediments and a short sediment core, with a focus on aquatic communities in the large and heterogeneous Lake Constance. Targeted organisms range from phyto- and zooplankton to fish and waterbirds. Initial results and comparison with sightings of rare species indicate that the DNA is not distributed uniformly or widely across the lake, especially for multicellular animals, but rather linked to the local presence of the organisms. This has implications for our understanding of how DNA enters the sediment and for paleoecological inferences derived from these records.
How to cite: Epp, L. S., Ibrahim, A., Wang, Y., Gutbrod, L., Bartolin, P., Chucholl, F., Kuehner, R., Schleheck, D., and Seeber, P. A.: The making of sedimentary DNA: Insights from distribution patterns of DNA in sediments , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22045, https://doi.org/10.5194/egusphere-egu2020-22045, 2020.
Sedimentary ancient DNA has by now become a recognized source of information on past biodiversity change, but our understanding of its dynamics and taphonomy is still limited. While for environmental DNA in water, dedicated investigations on its provenance and degradation are being increasingly carried out, we know very little about sedimentary DNA, in particular with respect to aquatic organisms. We are therefore conducting investigations on the distribution of DNA in surface sediments and a short sediment core, with a focus on aquatic communities in the large and heterogeneous Lake Constance. Targeted organisms range from phyto- and zooplankton to fish and waterbirds. Initial results and comparison with sightings of rare species indicate that the DNA is not distributed uniformly or widely across the lake, especially for multicellular animals, but rather linked to the local presence of the organisms. This has implications for our understanding of how DNA enters the sediment and for paleoecological inferences derived from these records.
How to cite: Epp, L. S., Ibrahim, A., Wang, Y., Gutbrod, L., Bartolin, P., Chucholl, F., Kuehner, R., Schleheck, D., and Seeber, P. A.: The making of sedimentary DNA: Insights from distribution patterns of DNA in sediments , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22045, https://doi.org/10.5194/egusphere-egu2020-22045, 2020.
EGU2020-22051 | Displays | BG2.2
Characterizing diatoms and their correlation with the distribution of macrophytes and parasitic Fungi using sedimentary genetic records from lake Constance, GermanyAnan Ibrahim, Laura Epp, Axel Meyer, and David schleheck
Algae and macrophytes are two of the main primary producers that interact with higher trophic levels by providing food and habitat. Their distribution thereby affect the physical and chemical characteristics of the ecosystem and hence act as its bioindicators. The use of multiple molecular markers to capture DNA signals in sediments allow for the reconstruction of their historical communities. We here use metabarcoding of different primers to illustrate the trophic history and the interactions between diatoms, macrophytes and microbial eukaryotes and their response to anthropogenic impacts. Sediment samples were taken from a large deep lake representing different regions of different chemical and physical characteristics. Preliminary data suggest a congruent trophic history using each of the molecular markers and an interaction between the presence of fungal parasites and the prevalence of diatoms.
How to cite: Ibrahim, A., Epp, L., Meyer, A., and schleheck, D.: Characterizing diatoms and their correlation with the distribution of macrophytes and parasitic Fungi using sedimentary genetic records from lake Constance, Germany, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22051, https://doi.org/10.5194/egusphere-egu2020-22051, 2020.
Algae and macrophytes are two of the main primary producers that interact with higher trophic levels by providing food and habitat. Their distribution thereby affect the physical and chemical characteristics of the ecosystem and hence act as its bioindicators. The use of multiple molecular markers to capture DNA signals in sediments allow for the reconstruction of their historical communities. We here use metabarcoding of different primers to illustrate the trophic history and the interactions between diatoms, macrophytes and microbial eukaryotes and their response to anthropogenic impacts. Sediment samples were taken from a large deep lake representing different regions of different chemical and physical characteristics. Preliminary data suggest a congruent trophic history using each of the molecular markers and an interaction between the presence of fungal parasites and the prevalence of diatoms.
How to cite: Ibrahim, A., Epp, L., Meyer, A., and schleheck, D.: Characterizing diatoms and their correlation with the distribution of macrophytes and parasitic Fungi using sedimentary genetic records from lake Constance, Germany, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22051, https://doi.org/10.5194/egusphere-egu2020-22051, 2020.
BG2.3 – Smart Farming and Land Management Enabled by Remotely Sensed Big Data
EGU2020-102 | Displays | BG2.3
Extracting field boundaries from satellite imagery with a convolutional neural network to enable smart farming at scaleFranz Waldner and Foivos Diakogiannis
Many of the promises of smart farming centre on assisting farmers to monitor their fields throughout the growing season. Having precise field boundaries has thus become a prerequisite for field-level assessment. When farmers are being signed up by agricultural service providers, they are often asked for precise digital records of their boundaries. Unfortunately, this process remains largely manual, time-consuming and prone to errors which creates disincentives. There are also increasing applications whereby remote monitoring of crops using earth observation is used for estimating areas of crop planted and yield forecasts. Automating the extraction of field boundaries would facilitate bringing farmers on board, and hence fostering wider adoption of these services, but would also improve products and services to be provided using remote sensing. Several methods to extract field boundaries from satellite imagery have been proposed, but the apparent lack of field boundary data sets seems to indicate low uptake, presumably because of expensive image preprocessing requirements and local, often arbitrary, tuning. Here, we introduce a novel approach with low image preprocessing requirements to extract field boundaries from satellite imagery. It poses the problem as a semantic segmentation problem with three tasks designed to answer the following questions: 1) Does a given pixel belong to a field? 2) Is that pixel part of a field boundary? and 3) What is the distance from that pixel to the closest field boundary? Closed field boundaries and individual fields can then be extracted by combining the answers to these three questions. The tasks are performed with ResUNet-a, a deep convolutional neural network with a fully connected UNet backbone that features dilated convolutions and conditioned inference. First, we characterise the model’s performance at local scale. Using a single composite image from Sentinel-2 over South Africa, the model is highly accurate in mapping field extent, field boundaries, and, consequently, individual fields. Replacing the monthly composite with a single-date image close to the compositing period marginally decreases accuracy. We then show that, without recalibration, ResUNet-a generalises well across resolutions (10 m to 30 m), sensors (Sentinel-2 to Landsat-8), space and time. Averaging model predictions from at least four images well-distributed across the season is the key to coping with the temporal variations of accuracy. Finally, we apply the lessons learned from the previous experiments to extract field boundaries for the whole of the Australian cropping region. To that aim, we compare three ResUNet-a models which are trained with different data sets: field boundaries from Australia, field boundaries from overseas, and field boundaries from both Australia and overseas (transfer learning). By minimising image preprocessing requirements and replacing local arbitrary decisions by data-driven ones, our approach is expected to facilitate the adoption of smart farming services and improve land management at scale.
How to cite: Waldner, F. and Diakogiannis, F.: Extracting field boundaries from satellite imagery with a convolutional neural network to enable smart farming at scale, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-102, https://doi.org/10.5194/egusphere-egu2020-102, 2020.
Many of the promises of smart farming centre on assisting farmers to monitor their fields throughout the growing season. Having precise field boundaries has thus become a prerequisite for field-level assessment. When farmers are being signed up by agricultural service providers, they are often asked for precise digital records of their boundaries. Unfortunately, this process remains largely manual, time-consuming and prone to errors which creates disincentives. There are also increasing applications whereby remote monitoring of crops using earth observation is used for estimating areas of crop planted and yield forecasts. Automating the extraction of field boundaries would facilitate bringing farmers on board, and hence fostering wider adoption of these services, but would also improve products and services to be provided using remote sensing. Several methods to extract field boundaries from satellite imagery have been proposed, but the apparent lack of field boundary data sets seems to indicate low uptake, presumably because of expensive image preprocessing requirements and local, often arbitrary, tuning. Here, we introduce a novel approach with low image preprocessing requirements to extract field boundaries from satellite imagery. It poses the problem as a semantic segmentation problem with three tasks designed to answer the following questions: 1) Does a given pixel belong to a field? 2) Is that pixel part of a field boundary? and 3) What is the distance from that pixel to the closest field boundary? Closed field boundaries and individual fields can then be extracted by combining the answers to these three questions. The tasks are performed with ResUNet-a, a deep convolutional neural network with a fully connected UNet backbone that features dilated convolutions and conditioned inference. First, we characterise the model’s performance at local scale. Using a single composite image from Sentinel-2 over South Africa, the model is highly accurate in mapping field extent, field boundaries, and, consequently, individual fields. Replacing the monthly composite with a single-date image close to the compositing period marginally decreases accuracy. We then show that, without recalibration, ResUNet-a generalises well across resolutions (10 m to 30 m), sensors (Sentinel-2 to Landsat-8), space and time. Averaging model predictions from at least four images well-distributed across the season is the key to coping with the temporal variations of accuracy. Finally, we apply the lessons learned from the previous experiments to extract field boundaries for the whole of the Australian cropping region. To that aim, we compare three ResUNet-a models which are trained with different data sets: field boundaries from Australia, field boundaries from overseas, and field boundaries from both Australia and overseas (transfer learning). By minimising image preprocessing requirements and replacing local arbitrary decisions by data-driven ones, our approach is expected to facilitate the adoption of smart farming services and improve land management at scale.
How to cite: Waldner, F. and Diakogiannis, F.: Extracting field boundaries from satellite imagery with a convolutional neural network to enable smart farming at scale, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-102, https://doi.org/10.5194/egusphere-egu2020-102, 2020.
EGU2020-2457 | Displays | BG2.3
Evaluating Different Learning Tools for Spring Wheat Nitrogen Content Estimation from UAV-Remote Sensing DataSanaz Shafian and Olga Walsh
Monitoring the nitrogen status of spring wheat under different nitrogen treatments is important for effective nitrogen management in precision agriculture. Unmanned aerial vehicle (UAV) integrated with machine learning techniques shows to be a promising tool for precisely estimating crop nitrogen content. In this study UAV-base spectral indices, artificial neural network model (ANN) and Support Vector Machine (SVM) were used to estimate spring wheat nitrogen content. The experiment was conducted on 144 spring wheat plots located at Parma Research and Extension Center, ID on six different spring wheat varieties and six different nitrogen rates. A rotary-wing UAV equipped with a multispectral sensor (RededgeM, Micasense Systems) was used to acquire very high spatial resolution images of the related plots. Validation of the methods was based on the cross-validation procedure and using three statistical indicators: R2, RMSE and relative RMSE. The cross-validated results identified all models providing accurate estimates of canopy nitrogen content in spring wheat crop.
How to cite: Shafian, S. and Walsh, O.: Evaluating Different Learning Tools for Spring Wheat Nitrogen Content Estimation from UAV-Remote Sensing Data, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2457, https://doi.org/10.5194/egusphere-egu2020-2457, 2020.
Monitoring the nitrogen status of spring wheat under different nitrogen treatments is important for effective nitrogen management in precision agriculture. Unmanned aerial vehicle (UAV) integrated with machine learning techniques shows to be a promising tool for precisely estimating crop nitrogen content. In this study UAV-base spectral indices, artificial neural network model (ANN) and Support Vector Machine (SVM) were used to estimate spring wheat nitrogen content. The experiment was conducted on 144 spring wheat plots located at Parma Research and Extension Center, ID on six different spring wheat varieties and six different nitrogen rates. A rotary-wing UAV equipped with a multispectral sensor (RededgeM, Micasense Systems) was used to acquire very high spatial resolution images of the related plots. Validation of the methods was based on the cross-validation procedure and using three statistical indicators: R2, RMSE and relative RMSE. The cross-validated results identified all models providing accurate estimates of canopy nitrogen content in spring wheat crop.
How to cite: Shafian, S. and Walsh, O.: Evaluating Different Learning Tools for Spring Wheat Nitrogen Content Estimation from UAV-Remote Sensing Data, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2457, https://doi.org/10.5194/egusphere-egu2020-2457, 2020.
EGU2020-6117 | Displays | BG2.3
Advance in a meteorological station, developed in educational environment, for agricultural and urban purposesIlaria Cantini, Benedetto Allotta, Luca Bini, and Marco Vieri
Internet of Things (IoT) has revolutionized many fields in every-day life. It addresses many aspects related to data management, storage and connectivity.
The main objective of this project focuses on the application of IoT to a low-cost system to be used on land for monitoring plant life parameters (humidity, temperature, rain, solar radiation, etc.) in crop growing control, viticulture, pest prevention for olive groves, greenhouse automation and other applications in agriculture.
Additional applications are in urban environment (where major problems of extreme weather phenomena occur) and in the integration with existing trust networks for better characterization of weather phenomena on very limited space and time scales. Adaptation strategies must start from the knowledge and the availability of additional information.
In a previous project (EGU2018), an ArduinoUno-based control system board was utilized. The fully automatic equipment allowed transmission of real-time data using external esp8266 Wi-Fi.
In the new version, a LoLiN board, an Arduino board-compatible with integrated ESP8266 and RTC with a few Lua script lines, is used. The board allows a simplification of the design-and-development phase, and an overall reduction of costs.
The proposed system uses wireless sensors placed in open space and collects information stored on cloud server. The diffusion of a large number of sensors is possible through the use of low-cost sensors and technologies. The new target for this project is to develop a microcontroller system on Wi-Fi protocol based on ESP8266 connected in station mode for data collection, and on LoRa protocol for interconnection among multiple systems that cannot be connected with Wi-Fi.
The system has been fully developed in the University of Florence, and a high school under the supervision of teachers, involving potential stakeholders interested in the use of low-cost sensors in agriculture. Some traditional sensors, tipping bucket raingauges, magnetic reed devices anemometers, capacitive/resistive thermos-hygrometers, and an innovative impact piezo-element raingauge have been adapted in order to develop the meteorological station.
During the current year 2020, the LoRa protocol will be developed on the new system to interconnect multiple systems in the absence of Wi-Fi coverage.
Despite the low nominal cost of data collection, the current use for application in precision and smart agriculture, as well as in climate change monitoring and adaptation, could be possible only through a massive work of sensor calibration in order to reach the standards of the WMO. In any case, also in absence of absolute calibration the quantification of measurement uncertainties is mandatory to give value to the amateur network observations.
All these aspects are included in the presented project, an attempt to develop a low-cost weather monitoring system for educational purposes, but with lateral effects of awareness among students.
How to cite: Cantini, I., Allotta, B., Bini, L., and Vieri, M.: Advance in a meteorological station, developed in educational environment, for agricultural and urban purposes, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6117, https://doi.org/10.5194/egusphere-egu2020-6117, 2020.
Internet of Things (IoT) has revolutionized many fields in every-day life. It addresses many aspects related to data management, storage and connectivity.
The main objective of this project focuses on the application of IoT to a low-cost system to be used on land for monitoring plant life parameters (humidity, temperature, rain, solar radiation, etc.) in crop growing control, viticulture, pest prevention for olive groves, greenhouse automation and other applications in agriculture.
Additional applications are in urban environment (where major problems of extreme weather phenomena occur) and in the integration with existing trust networks for better characterization of weather phenomena on very limited space and time scales. Adaptation strategies must start from the knowledge and the availability of additional information.
In a previous project (EGU2018), an ArduinoUno-based control system board was utilized. The fully automatic equipment allowed transmission of real-time data using external esp8266 Wi-Fi.
In the new version, a LoLiN board, an Arduino board-compatible with integrated ESP8266 and RTC with a few Lua script lines, is used. The board allows a simplification of the design-and-development phase, and an overall reduction of costs.
The proposed system uses wireless sensors placed in open space and collects information stored on cloud server. The diffusion of a large number of sensors is possible through the use of low-cost sensors and technologies. The new target for this project is to develop a microcontroller system on Wi-Fi protocol based on ESP8266 connected in station mode for data collection, and on LoRa protocol for interconnection among multiple systems that cannot be connected with Wi-Fi.
The system has been fully developed in the University of Florence, and a high school under the supervision of teachers, involving potential stakeholders interested in the use of low-cost sensors in agriculture. Some traditional sensors, tipping bucket raingauges, magnetic reed devices anemometers, capacitive/resistive thermos-hygrometers, and an innovative impact piezo-element raingauge have been adapted in order to develop the meteorological station.
During the current year 2020, the LoRa protocol will be developed on the new system to interconnect multiple systems in the absence of Wi-Fi coverage.
Despite the low nominal cost of data collection, the current use for application in precision and smart agriculture, as well as in climate change monitoring and adaptation, could be possible only through a massive work of sensor calibration in order to reach the standards of the WMO. In any case, also in absence of absolute calibration the quantification of measurement uncertainties is mandatory to give value to the amateur network observations.
All these aspects are included in the presented project, an attempt to develop a low-cost weather monitoring system for educational purposes, but with lateral effects of awareness among students.
How to cite: Cantini, I., Allotta, B., Bini, L., and Vieri, M.: Advance in a meteorological station, developed in educational environment, for agricultural and urban purposes, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6117, https://doi.org/10.5194/egusphere-egu2020-6117, 2020.
EGU2020-8191 | Displays | BG2.3
Remote Sensing based comparative analysis of cotton irrigation and water productivity in Pakistan, Turkey and UzbekistanMuhammad Usman, Talha Mahmood, and Christopher Conrad
Textile products made with cotton produced in Pakistan, Turkey, and Uzbekistan are largely imported to European markets. This is responsible for high virtual water imports from these countries and thus puts immense pressure on their water resources, which is further extravagated due to climate change and population growth. The solution to combat the issue, on one hand, is to cut water usage for cotton irrigation, and on the other hand, to increase water productivity. The biggest challenge in this regard is the correct quantification of consumptive water use, cotton yield estimation and crop water productivities at a finer spatial resolution on regional levels, which is now possible by utilizing remote sensing (RS) data and approaches. It can also facilitate comparing regions of interest, like in this study, Pakistan, Turkey, and Uzbekistan by utilizing similar data and techniques. For the current study, MODIS data along with various climatic variables were utilized for the estimation of consumptive water use and cotton yield estimation by employing SEBAL and Light Use Efficiency (LUE) models, respectively. These estimations were then used for working out water productivities of different regions of selected countries as case studies. The results show that the study area in Turkey achieved maximum cotton water productivity (i.e. 0.75 - 1.2 kg.m-3) followed by those in Uzbekistan (0.05 – 0.85 kg.m-3) and Pakistan (0.04 – 0.23 kg.m-3). The variability is higher for Uzbekistan possibly due to agricultural transition post-soviet-union era. In the case of Pakistan, the lower cotton water productivities are mainly attributed to lower crop yields (400 – 1200 kg.ha-1) in comparison to Turkey (3850 – 5800 kg.ha-1) and Uzbekistan (450 – 2500 kg.ha-1). Although the highest crop water productivity is achieved for the study region in Turkey, there is still potential for further improvement by introducing on-farm water management. In the case of the other two countries, especially for Pakistan, major improvements are possible through maximizing crop yields. The next steps include comparisons of the results in economic out-turns.
How to cite: Usman, M., Mahmood, T., and Conrad, C.: Remote Sensing based comparative analysis of cotton irrigation and water productivity in Pakistan, Turkey and Uzbekistan, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8191, https://doi.org/10.5194/egusphere-egu2020-8191, 2020.
Textile products made with cotton produced in Pakistan, Turkey, and Uzbekistan are largely imported to European markets. This is responsible for high virtual water imports from these countries and thus puts immense pressure on their water resources, which is further extravagated due to climate change and population growth. The solution to combat the issue, on one hand, is to cut water usage for cotton irrigation, and on the other hand, to increase water productivity. The biggest challenge in this regard is the correct quantification of consumptive water use, cotton yield estimation and crop water productivities at a finer spatial resolution on regional levels, which is now possible by utilizing remote sensing (RS) data and approaches. It can also facilitate comparing regions of interest, like in this study, Pakistan, Turkey, and Uzbekistan by utilizing similar data and techniques. For the current study, MODIS data along with various climatic variables were utilized for the estimation of consumptive water use and cotton yield estimation by employing SEBAL and Light Use Efficiency (LUE) models, respectively. These estimations were then used for working out water productivities of different regions of selected countries as case studies. The results show that the study area in Turkey achieved maximum cotton water productivity (i.e. 0.75 - 1.2 kg.m-3) followed by those in Uzbekistan (0.05 – 0.85 kg.m-3) and Pakistan (0.04 – 0.23 kg.m-3). The variability is higher for Uzbekistan possibly due to agricultural transition post-soviet-union era. In the case of Pakistan, the lower cotton water productivities are mainly attributed to lower crop yields (400 – 1200 kg.ha-1) in comparison to Turkey (3850 – 5800 kg.ha-1) and Uzbekistan (450 – 2500 kg.ha-1). Although the highest crop water productivity is achieved for the study region in Turkey, there is still potential for further improvement by introducing on-farm water management. In the case of the other two countries, especially for Pakistan, major improvements are possible through maximizing crop yields. The next steps include comparisons of the results in economic out-turns.
How to cite: Usman, M., Mahmood, T., and Conrad, C.: Remote Sensing based comparative analysis of cotton irrigation and water productivity in Pakistan, Turkey and Uzbekistan, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8191, https://doi.org/10.5194/egusphere-egu2020-8191, 2020.
EGU2020-9802 | Displays | BG2.3
Application of drone borne LiDAR technology for monitoring agricultural biomass and plant growth.Katerina Trepekli, Andreas Westergaard-Nielsen, and Thomas Friborg
With rising demand for increasing the yield potential of agricultural products and for reducing greenhouse gas emissions during food production, strengthening our scientific and technological capacity to monitor crop growth and above ground biomass (AGB) is indispensable to move towards more sustainable management of our agricultural resources. Pivotal to meet this goal is the application of high-throughput field-phenotyping tools such as drone borne Light Detection and Ranging (Lidar) systems for accurate, fine-grained, rapid and labor-saving measurements of vegetation growth parameters. Our objective is to develop and assess a workflow to estimate AGB, leaf area index (LAI), plant height (PH) and volume of a homogeneous and highly dense agricultural field using the capabilities of UAV-Lidar technology. The experimental site is located in Denmark and populated by potato plants. Aerial campaigns and field experiments, including destructive biomass sampling and measurements of LAI and plants’ geometrical characteristics at 1m2 square plots, were performed once per month during the vegetation growth period (May–September 2019). The high resolution (3.6 cm) Canopy Height model (CHM) is generated by first evaluating the performance of different filtering algorithms that separate the ground points from the Lidar-derived point cloud datasets. To extract the geometrical parameters of individual crop plants, we delineate the CHM by applying segmentation directly to the Lidar point cloud rather than segmenting the CHM as an interpolated raster surface. The PH obtained by the Lidar scanner is highly correlated with the field-measured PH (R²=0.89 and RMSE=0.028 m) implying that the point cloud data processing evaluated here is efficient and able to generate serviceably accurate CHMs for agricultural sites with similar vegetation structures. Throughout the observed vegetation growth period, the AGB can be quantified with high accuracy when it is considered to be a function of plant volume (R²=0.81 and RMSE=31.65 %) rather than a function of PH, as the latter approximating an exponential relationship with AGB. Height and density Lidar metrics were more effective in predicting in situ LAI measurements in comparison with remotely sensed LAI calculated directly from Lidar vegetation points following the Beer Lambert law. The predictive frameworks emerging from this approach indicate the applicability of drone borne Lidar systems for obtaining agricultural crop growth parameters in both high spatial and temporal resolution.
How to cite: Trepekli, K., Westergaard-Nielsen, A., and Friborg, T.: Application of drone borne LiDAR technology for monitoring agricultural biomass and plant growth., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9802, https://doi.org/10.5194/egusphere-egu2020-9802, 2020.
With rising demand for increasing the yield potential of agricultural products and for reducing greenhouse gas emissions during food production, strengthening our scientific and technological capacity to monitor crop growth and above ground biomass (AGB) is indispensable to move towards more sustainable management of our agricultural resources. Pivotal to meet this goal is the application of high-throughput field-phenotyping tools such as drone borne Light Detection and Ranging (Lidar) systems for accurate, fine-grained, rapid and labor-saving measurements of vegetation growth parameters. Our objective is to develop and assess a workflow to estimate AGB, leaf area index (LAI), plant height (PH) and volume of a homogeneous and highly dense agricultural field using the capabilities of UAV-Lidar technology. The experimental site is located in Denmark and populated by potato plants. Aerial campaigns and field experiments, including destructive biomass sampling and measurements of LAI and plants’ geometrical characteristics at 1m2 square plots, were performed once per month during the vegetation growth period (May–September 2019). The high resolution (3.6 cm) Canopy Height model (CHM) is generated by first evaluating the performance of different filtering algorithms that separate the ground points from the Lidar-derived point cloud datasets. To extract the geometrical parameters of individual crop plants, we delineate the CHM by applying segmentation directly to the Lidar point cloud rather than segmenting the CHM as an interpolated raster surface. The PH obtained by the Lidar scanner is highly correlated with the field-measured PH (R²=0.89 and RMSE=0.028 m) implying that the point cloud data processing evaluated here is efficient and able to generate serviceably accurate CHMs for agricultural sites with similar vegetation structures. Throughout the observed vegetation growth period, the AGB can be quantified with high accuracy when it is considered to be a function of plant volume (R²=0.81 and RMSE=31.65 %) rather than a function of PH, as the latter approximating an exponential relationship with AGB. Height and density Lidar metrics were more effective in predicting in situ LAI measurements in comparison with remotely sensed LAI calculated directly from Lidar vegetation points following the Beer Lambert law. The predictive frameworks emerging from this approach indicate the applicability of drone borne Lidar systems for obtaining agricultural crop growth parameters in both high spatial and temporal resolution.
How to cite: Trepekli, K., Westergaard-Nielsen, A., and Friborg, T.: Application of drone borne LiDAR technology for monitoring agricultural biomass and plant growth., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9802, https://doi.org/10.5194/egusphere-egu2020-9802, 2020.
EGU2020-13335 | Displays | BG2.3
Classification of Paddy Fields using Convolutional Neural Network with MODIS imagery in Northeast AsiaSeungtaek Jeong, Jonghan Ko, Gwanyong Jeong, and Myungjin Choi
A satellite image-based classification for crop types can provide information on an arable land area and its changes over time. The classified information is also useful as a base dataset for various geospatial projects to retrieve crop growth and production processes for a wide area. Convolutional neural network (CNN) algorithms based on a deep neural network technique have been frequently applied for land cover classification using satellite images with a high spatial resolution, producing consistent classification outcomes. However, it is still challenging to adopt the coarse resolution images such as Moderate Resolution Imaging Spectroradiometer (MODIS) for classification purposes mainly because of uncertainty from mixed pixels, which can cause difficulty in collecting and labeling actual land cover data. Nevertheless, using coarse images is a very efficient approach for obtaining high temporal and continuous land spectral information for comparatively extensive areas (e.g., those at national and continental scales). In this study, we will classify paddy fields applying a CNN algorithm to MODIS images in Northeast Asia. Time series features of vegetation indices that appear only in paddy fields will be created as 2-dimensional images to use inputs for the classification algorithm. We will use reference land cover maps with a high spatial resolution in Korea and Japan as training and test datasets, employing identified data in person for validation. The current research effort would propose that the CNN-based classification approach using coarse spatial resolution images could have its applicability and reliability for the land cover classification process at a continental scale, providing a direction of its solution for the cause of errors in satellite images with a low spatial resolution.
How to cite: Jeong, S., Ko, J., Jeong, G., and Choi, M.: Classification of Paddy Fields using Convolutional Neural Network with MODIS imagery in Northeast Asia, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13335, https://doi.org/10.5194/egusphere-egu2020-13335, 2020.
A satellite image-based classification for crop types can provide information on an arable land area and its changes over time. The classified information is also useful as a base dataset for various geospatial projects to retrieve crop growth and production processes for a wide area. Convolutional neural network (CNN) algorithms based on a deep neural network technique have been frequently applied for land cover classification using satellite images with a high spatial resolution, producing consistent classification outcomes. However, it is still challenging to adopt the coarse resolution images such as Moderate Resolution Imaging Spectroradiometer (MODIS) for classification purposes mainly because of uncertainty from mixed pixels, which can cause difficulty in collecting and labeling actual land cover data. Nevertheless, using coarse images is a very efficient approach for obtaining high temporal and continuous land spectral information for comparatively extensive areas (e.g., those at national and continental scales). In this study, we will classify paddy fields applying a CNN algorithm to MODIS images in Northeast Asia. Time series features of vegetation indices that appear only in paddy fields will be created as 2-dimensional images to use inputs for the classification algorithm. We will use reference land cover maps with a high spatial resolution in Korea and Japan as training and test datasets, employing identified data in person for validation. The current research effort would propose that the CNN-based classification approach using coarse spatial resolution images could have its applicability and reliability for the land cover classification process at a continental scale, providing a direction of its solution for the cause of errors in satellite images with a low spatial resolution.
How to cite: Jeong, S., Ko, J., Jeong, G., and Choi, M.: Classification of Paddy Fields using Convolutional Neural Network with MODIS imagery in Northeast Asia, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13335, https://doi.org/10.5194/egusphere-egu2020-13335, 2020.
EGU2020-18406 | Displays | BG2.3
Optimizing hybrid retrieval strategies for crop attribute retrieval using hyperspectral UAV dataAsmaa Abdelbaki, Martin schlerf, Jochem Verrelst, and Thomas Udelhoven
Unmanned aerial vehicle-based (UAV) hyperspectral imagery is of great significance to estimate crop attributes at a landscape scale, which is required for many environmental and agricultural applications. Multiple methods have been proposed such as empirical regression, radiative transfer, and hybrid models to derive target information (leaf area index (LAI), canopy chlorophyll content (CCC), and fractional vegetation cover (fCover)). Yet, it remains a challenge to select the most suitable method, since each method has its respective advantages and disadvantages. In this study, a hybrid strategy is proposed, as it combines the flexibility of regression with the universality of radiative transfer models (RTM) compared to other retrieval methods concerning model accuracy, computational efficiency under varying sample sizes and different levels of artificial noise. Two datasets of canopy spectra were simulated from two types of Look-up-tables (LUTs) for simulating a range of canopy reflectance-based on a set of input parameters from a Soil-Leaf-canopy RTM. The first type (LUTstd) was derived from a set of independent input parameters, while the other type (LUTreg) relied on the variable correlations by using the Cholesky algorithm. The LUTs were used for training linear and non-linear nonparametric regression algorithms for estimating the relevant parameters for characterizing 27 potato plots. Subsequently, the best approach of non-parametric regression methods was applied to UAV-based hyperspectral data for mapping of crop properties.
Results showed for LAI and fCover estimates that the principal component regression, partial least square regression, and least squares regression line (PCR, PLSR and LSLR) outperformed any of machine learning regression algorithms (MLRAs) and LUT inversion approaches. Besides, analysis of multiple LUT sizes ranging from 1000 to 17280 revealed that the 1000 simulations were sufficient for training LUTs. Also, adding 1% of noise to the simulations was adequate to imitate the uncertainty of UAV data. By using the independent ground data for validation, the PCR and PLSR methods yielded the lowest errors (R²= 0.81, NRMSE=11.47% for LUTreg than LUTstd (R²= 0.51, NRMSE= 22.61%). Regarding fCover, the accuracy of linear non-parametric and LUT-inversion approaches in LUTreg (R²=0.75 and NRMSE=14.53% for PLSR and R²= 0.78 and NRMSE=14.37% for LUT inversion based) was increased slightly rather than the results obtained from MLRAs (R²= 0.76 and NRMSE= 14.74% for kernel ridge regression (KRR)). Regarding CCC, the best result was obtained using Random forest of tree bagger (RFTB) and fit ensemble (RFFE) for both LUTs. The accuracy of LUTreg did not improve as much as LUTstd through changing sample sizes (R²= 0.80, NRMSE= 14.71% for LUTreg and R²= 0.81, NRMSE= 13.93% for LUTstd). In terms of processing speed, the linear non-parametric methods were the fastest one as compared to MLRAs (PCR=0.0097 and PLSR=0.013 seconds). In conclusion, compared to the two analyzed hybrid strategies (Linear and non-linear non-parametric regression), the use of LUT-inversion is not recommended for large images because of low prediction accuracy and slow processing speed.
Keywords: SLC model, LUT inversion based, linear non-parametric regression, machine learning, hybrid model, Leaf area index, fractional vegetation cover, leaf and canopy chlorophyll content.
How to cite: Abdelbaki, A., schlerf, M., Verrelst, J., and Udelhoven, T.: Optimizing hybrid retrieval strategies for crop attribute retrieval using hyperspectral UAV data, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18406, https://doi.org/10.5194/egusphere-egu2020-18406, 2020.
Unmanned aerial vehicle-based (UAV) hyperspectral imagery is of great significance to estimate crop attributes at a landscape scale, which is required for many environmental and agricultural applications. Multiple methods have been proposed such as empirical regression, radiative transfer, and hybrid models to derive target information (leaf area index (LAI), canopy chlorophyll content (CCC), and fractional vegetation cover (fCover)). Yet, it remains a challenge to select the most suitable method, since each method has its respective advantages and disadvantages. In this study, a hybrid strategy is proposed, as it combines the flexibility of regression with the universality of radiative transfer models (RTM) compared to other retrieval methods concerning model accuracy, computational efficiency under varying sample sizes and different levels of artificial noise. Two datasets of canopy spectra were simulated from two types of Look-up-tables (LUTs) for simulating a range of canopy reflectance-based on a set of input parameters from a Soil-Leaf-canopy RTM. The first type (LUTstd) was derived from a set of independent input parameters, while the other type (LUTreg) relied on the variable correlations by using the Cholesky algorithm. The LUTs were used for training linear and non-linear nonparametric regression algorithms for estimating the relevant parameters for characterizing 27 potato plots. Subsequently, the best approach of non-parametric regression methods was applied to UAV-based hyperspectral data for mapping of crop properties.
Results showed for LAI and fCover estimates that the principal component regression, partial least square regression, and least squares regression line (PCR, PLSR and LSLR) outperformed any of machine learning regression algorithms (MLRAs) and LUT inversion approaches. Besides, analysis of multiple LUT sizes ranging from 1000 to 17280 revealed that the 1000 simulations were sufficient for training LUTs. Also, adding 1% of noise to the simulations was adequate to imitate the uncertainty of UAV data. By using the independent ground data for validation, the PCR and PLSR methods yielded the lowest errors (R²= 0.81, NRMSE=11.47% for LUTreg than LUTstd (R²= 0.51, NRMSE= 22.61%). Regarding fCover, the accuracy of linear non-parametric and LUT-inversion approaches in LUTreg (R²=0.75 and NRMSE=14.53% for PLSR and R²= 0.78 and NRMSE=14.37% for LUT inversion based) was increased slightly rather than the results obtained from MLRAs (R²= 0.76 and NRMSE= 14.74% for kernel ridge regression (KRR)). Regarding CCC, the best result was obtained using Random forest of tree bagger (RFTB) and fit ensemble (RFFE) for both LUTs. The accuracy of LUTreg did not improve as much as LUTstd through changing sample sizes (R²= 0.80, NRMSE= 14.71% for LUTreg and R²= 0.81, NRMSE= 13.93% for LUTstd). In terms of processing speed, the linear non-parametric methods were the fastest one as compared to MLRAs (PCR=0.0097 and PLSR=0.013 seconds). In conclusion, compared to the two analyzed hybrid strategies (Linear and non-linear non-parametric regression), the use of LUT-inversion is not recommended for large images because of low prediction accuracy and slow processing speed.
Keywords: SLC model, LUT inversion based, linear non-parametric regression, machine learning, hybrid model, Leaf area index, fractional vegetation cover, leaf and canopy chlorophyll content.
How to cite: Abdelbaki, A., schlerf, M., Verrelst, J., and Udelhoven, T.: Optimizing hybrid retrieval strategies for crop attribute retrieval using hyperspectral UAV data, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18406, https://doi.org/10.5194/egusphere-egu2020-18406, 2020.
EGU2020-20286 | Displays | BG2.3
Cropland expansion and productivity reduction in Malawi monitored by using Satellite dataChengxiu Li and Jadu Dash
With rising demand for food in Sub-Saharan Africa (SSA), cropland expansion represents the main strategy to boost agricultural production. However, cropland expansion is not a sustainable form of agricultural development as there is limited arable land and increasing soil degradation in SSA. Cropland expansion needs to be monitored in order to focus intervention and propose alternatives. In this study, we monitor agriculture expansion over the past decades across Malawi using Landsat satellite data and explore factors that can explain expansion using Malawi integrated household survey data. The preliminary results showed that cropland expansion has widely occurred across the country, and the newly expanded croplands have higher productivity compared to the croplands with long cultivation history. We also found that estate agricultural land contributes to 40% of the expanded area and the level of irrigation is negatively correlated to expansion, being the dominant factors that are associated with expansion in Malawi. The results will further help to offer localized information for policy making and to develop strategies for conserving land.
How to cite: Li, C. and Dash, J.: Cropland expansion and productivity reduction in Malawi monitored by using Satellite data, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20286, https://doi.org/10.5194/egusphere-egu2020-20286, 2020.
With rising demand for food in Sub-Saharan Africa (SSA), cropland expansion represents the main strategy to boost agricultural production. However, cropland expansion is not a sustainable form of agricultural development as there is limited arable land and increasing soil degradation in SSA. Cropland expansion needs to be monitored in order to focus intervention and propose alternatives. In this study, we monitor agriculture expansion over the past decades across Malawi using Landsat satellite data and explore factors that can explain expansion using Malawi integrated household survey data. The preliminary results showed that cropland expansion has widely occurred across the country, and the newly expanded croplands have higher productivity compared to the croplands with long cultivation history. We also found that estate agricultural land contributes to 40% of the expanded area and the level of irrigation is negatively correlated to expansion, being the dominant factors that are associated with expansion in Malawi. The results will further help to offer localized information for policy making and to develop strategies for conserving land.
How to cite: Li, C. and Dash, J.: Cropland expansion and productivity reduction in Malawi monitored by using Satellite data, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20286, https://doi.org/10.5194/egusphere-egu2020-20286, 2020.
EGU2020-20800 | Displays | BG2.3
Winter wheat growth dynamics and their relationship with the field productivity using Sentinel-1 SAR polarimetryNikolaos-Christos Vavlas, Toby Waine, Jeroen Meersmans, and Goetz Richter
Synthetic Aperture Radar (SAR) is sensitive to the surface structure as well as dielectric properties, so can be used to quantify the canopy characteristics and surface moisture. High temporal frequency SAR backscatter data are useful in terms of quantifying crop phenological development, growth and yield formation. The aim of this research is to identify the growth dynamics of winter wheat from SAR at field scale, validated using farm sites with different productivity between two years (2018-2019). We identify and explore the parameters which characterize crop performance from SAR temporal curves and use these to improve and automate the monitoring of wheat fields. Our novel methodology includes the extraction of crop indicators using the VH/VV ratio temporal curve from Sentinel-1. Sigmoid curve fitting is used to simulate the VH/VV response and the extracted parameters are related to the field development. The results show that specific indicators, such as the duration of the high vegetation (stem elongation to dough development) as well as the timing of the booting stage of wheat significantly correlate with the final yield. Other indicators can provide information about the canopy characteristics of wheat (e.g. above ground biomass and plant water content). The combination of selected indicators can provide a more robust analysis of the fields. These results demonstrate the potential of SAR to remotely quantify yield without using any management data from the farm.
How to cite: Vavlas, N.-C., Waine, T., Meersmans, J., and Richter, G.: Winter wheat growth dynamics and their relationship with the field productivity using Sentinel-1 SAR polarimetry, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20800, https://doi.org/10.5194/egusphere-egu2020-20800, 2020.
Synthetic Aperture Radar (SAR) is sensitive to the surface structure as well as dielectric properties, so can be used to quantify the canopy characteristics and surface moisture. High temporal frequency SAR backscatter data are useful in terms of quantifying crop phenological development, growth and yield formation. The aim of this research is to identify the growth dynamics of winter wheat from SAR at field scale, validated using farm sites with different productivity between two years (2018-2019). We identify and explore the parameters which characterize crop performance from SAR temporal curves and use these to improve and automate the monitoring of wheat fields. Our novel methodology includes the extraction of crop indicators using the VH/VV ratio temporal curve from Sentinel-1. Sigmoid curve fitting is used to simulate the VH/VV response and the extracted parameters are related to the field development. The results show that specific indicators, such as the duration of the high vegetation (stem elongation to dough development) as well as the timing of the booting stage of wheat significantly correlate with the final yield. Other indicators can provide information about the canopy characteristics of wheat (e.g. above ground biomass and plant water content). The combination of selected indicators can provide a more robust analysis of the fields. These results demonstrate the potential of SAR to remotely quantify yield without using any management data from the farm.
How to cite: Vavlas, N.-C., Waine, T., Meersmans, J., and Richter, G.: Winter wheat growth dynamics and their relationship with the field productivity using Sentinel-1 SAR polarimetry, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20800, https://doi.org/10.5194/egusphere-egu2020-20800, 2020.
BG2.5 – Quality of stable isotope data - Methods and tools for producing high quality data.
EGU2020-9674 | Displays | BG2.5
A global compilation of known-origin keratin hydrogen and oxygen isotope data for wildlife and forensic researchSarah Magozzi, Andrea Contina, Michael Wunder, Hannah Vander Zanden, and Gabriel Bowen
Variations in stable hydrogen (δ2H) and oxygen (δ18O) isotope ratios have been used in wildlife and forensic applications to infer the provenance of biological tissues by comparing isotopic measurements for unknown samples to geographically indexed measurements or predictions. Tissues composed of the structural protein keratin have been targeted in many systems, leading to a legacy of published data for known-origin samples. An open synthesis of these data would be useful to support broader analysis of keratin isotope patterns across biological systems and as a reference data collection for future studies.
Significant differences in sample preparation and analysis protocols and calibration and normalization approaches among laboratories have created substantial challenges in the integration of these data, however. Here we identify and assess factors that might be limiting comparability of δ2H and δ18O data among laboratories. These include sample type and sampling method, procedure for lipid extraction, whether and how partial exchange of keratin H with atmospheric moisture has been addressed, which laboratory reference materials have been used, drying and handling protocols, analysis method, and quality of chromatography for O isotopic analyses. We compile a list of reference materials (including Utah, USGS, and Saskatoon standards) and their established values, and develop a set of ‘rules’ and corrections to account for differences in processing methods and standards as well as the associated uncertainty. We apply these corrections to more than 2500 known-origin data from the literature and demonstrate that the comparability of isotopic data among laboratories is greatly improved by linking all measurements to the same scales. We highlight both the potential of the harmonized dataset for use in wildlife and forensic research as well as substantial challenges and limitations that remain.
How to cite: Magozzi, S., Contina, A., Wunder, M., Vander Zanden, H., and Bowen, G.: A global compilation of known-origin keratin hydrogen and oxygen isotope data for wildlife and forensic research, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9674, https://doi.org/10.5194/egusphere-egu2020-9674, 2020.
Variations in stable hydrogen (δ2H) and oxygen (δ18O) isotope ratios have been used in wildlife and forensic applications to infer the provenance of biological tissues by comparing isotopic measurements for unknown samples to geographically indexed measurements or predictions. Tissues composed of the structural protein keratin have been targeted in many systems, leading to a legacy of published data for known-origin samples. An open synthesis of these data would be useful to support broader analysis of keratin isotope patterns across biological systems and as a reference data collection for future studies.
Significant differences in sample preparation and analysis protocols and calibration and normalization approaches among laboratories have created substantial challenges in the integration of these data, however. Here we identify and assess factors that might be limiting comparability of δ2H and δ18O data among laboratories. These include sample type and sampling method, procedure for lipid extraction, whether and how partial exchange of keratin H with atmospheric moisture has been addressed, which laboratory reference materials have been used, drying and handling protocols, analysis method, and quality of chromatography for O isotopic analyses. We compile a list of reference materials (including Utah, USGS, and Saskatoon standards) and their established values, and develop a set of ‘rules’ and corrections to account for differences in processing methods and standards as well as the associated uncertainty. We apply these corrections to more than 2500 known-origin data from the literature and demonstrate that the comparability of isotopic data among laboratories is greatly improved by linking all measurements to the same scales. We highlight both the potential of the harmonized dataset for use in wildlife and forensic research as well as substantial challenges and limitations that remain.
How to cite: Magozzi, S., Contina, A., Wunder, M., Vander Zanden, H., and Bowen, G.: A global compilation of known-origin keratin hydrogen and oxygen isotope data for wildlife and forensic research, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9674, https://doi.org/10.5194/egusphere-egu2020-9674, 2020.
EGU2020-11630 | Displays | BG2.5
A novel method to quantify exchangeable hydrogen fraction in organic matterCristian Gudasz, David X. Soto, Tobias Sparrman, and Jan Karlsson
Stable isotope measurements of nonexchangeable hydrogen (δ2Hn) of bulk organic matter has emerged as a tool, with a wide range of applications in biology, biogeochemistry and forensics. However, reproducible and precise measurements of δ2Hn between laboratories and methods are still challenging. One of the largest impediments to obtain accurate isotope ratios is to use reference materials of similar exchangeable hydrogen fraction (fx) to the matrix of interest. The organic matter has typically three pools of hydrogen (H): (i) the adsorbed water, which can be minimized by extensive drying, (ii) the carbon bound H (the fraction of interest), which is non-exchangeable and cannot be removed and (iii) the non-carbon bound H, (i.e. N-, COO-, O-, and S-bound H) that cannot be removed but can be readily exchanged with the environmental moisture. Quantification of fx based on dual water vapor isotope exchange and Isotope Ratio Mass Spectrometry (IRMS) have shown large variability in fx between studies for the same organic matter type such as keratin. High variability in fx between samples and standards can translate into a large impact on the measured isotopic values. Here we used a novel approach to independently quantify fx in 21 natural organic material sources with minimal sample manipulation based on 1H-2H exchange experiments and quantified through proton based liquid-state nuclear magnetic resonance (1H-NMR) spectroscopy. The experiments were carried out at room temperature by immersing separate solid powdered samples in deuterated dimethylsulfoxide (background) and deuterium oxide (2H source) followed by the quantification of the water generated in the supernatant fraction through 1H-NMR using glucose as reference. At the same time, samples were analyzed through the most recent procedure of dual water vapor isotope equilibration method using online drying and equilibration in a UniPrep carousel. We discuss these findings and suggest that the proposed 1H-NMR method of quantifying fx is an independent and novel approach that can contribute to a better understanding of H exchangeability in a wider range of organic materials, critical for accurate measurement of the δ2Hn.
How to cite: Gudasz, C., Soto, D. X., Sparrman, T., and Karlsson, J.: A novel method to quantify exchangeable hydrogen fraction in organic matter, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11630, https://doi.org/10.5194/egusphere-egu2020-11630, 2020.
Stable isotope measurements of nonexchangeable hydrogen (δ2Hn) of bulk organic matter has emerged as a tool, with a wide range of applications in biology, biogeochemistry and forensics. However, reproducible and precise measurements of δ2Hn between laboratories and methods are still challenging. One of the largest impediments to obtain accurate isotope ratios is to use reference materials of similar exchangeable hydrogen fraction (fx) to the matrix of interest. The organic matter has typically three pools of hydrogen (H): (i) the adsorbed water, which can be minimized by extensive drying, (ii) the carbon bound H (the fraction of interest), which is non-exchangeable and cannot be removed and (iii) the non-carbon bound H, (i.e. N-, COO-, O-, and S-bound H) that cannot be removed but can be readily exchanged with the environmental moisture. Quantification of fx based on dual water vapor isotope exchange and Isotope Ratio Mass Spectrometry (IRMS) have shown large variability in fx between studies for the same organic matter type such as keratin. High variability in fx between samples and standards can translate into a large impact on the measured isotopic values. Here we used a novel approach to independently quantify fx in 21 natural organic material sources with minimal sample manipulation based on 1H-2H exchange experiments and quantified through proton based liquid-state nuclear magnetic resonance (1H-NMR) spectroscopy. The experiments were carried out at room temperature by immersing separate solid powdered samples in deuterated dimethylsulfoxide (background) and deuterium oxide (2H source) followed by the quantification of the water generated in the supernatant fraction through 1H-NMR using glucose as reference. At the same time, samples were analyzed through the most recent procedure of dual water vapor isotope equilibration method using online drying and equilibration in a UniPrep carousel. We discuss these findings and suggest that the proposed 1H-NMR method of quantifying fx is an independent and novel approach that can contribute to a better understanding of H exchangeability in a wider range of organic materials, critical for accurate measurement of the δ2Hn.
How to cite: Gudasz, C., Soto, D. X., Sparrman, T., and Karlsson, J.: A novel method to quantify exchangeable hydrogen fraction in organic matter, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11630, https://doi.org/10.5194/egusphere-egu2020-11630, 2020.
EGU2020-18841 | Displays | BG2.5
SIMS- and IRMS-based study of apatite reference materials reveals new analytical challenges for oxygen isotope analysisAlicja Wudarska, Michael Wiedenbeck, Ewa Słaby, Chris Harris, Michael M. Joachimski, Christophe Lécuyer, Kenneth G. MacLeod, Andreas Pack, Torsten Vennemann, Frédéric Couffignal, Johannes Glodny, Christof Kusebauch, Małgorzata Lempart, Yadong Sun, and Franziska Wilke
Minerals of the apatite group, especially hydroxylapatite Ca5(PO4)3OH, are valuable archives for reconstructing environmental conditions occurring throughout the Earth’s history (e.g., Joachimski et al. 2009). Apatite oxygen isotope compositions have proved useful in studies of conodonts as well as fish and mammalian teeth and bones. Secondary ion mass spectrometry (SIMS) is a rapid and precise technique that enables the investigation of small and heterogeneous samples. However, this method is constrained by the availability of matrix-matched reference materials (RMs). The most commonly used RM for calibrating δ18O phosphate SIMS measurements – Durango apatite – has been found to be heterogeneous (Sun et al. 2016); therefore, we have undertaken this study, in which we have characterized a new suite of RMs for oxygen isotope analyses of apatite. Four potential apatite RMs obtained from various sources were assessed for 18O/16O homogeneity using SIMS. The major and trace element compositions were determined by electron probe microanalyses (FE-EPMA), while the contents of OH- and CO32- were assessed using thermogravimetric analysis (TG) and infrared spectroscopy (IR). The δ18O reference values have now been determined in six independent laboratories using isotope ratio mass spectrometry (IRMS) and applying different analytical protocols, which fall into two groups: laser fluorination and high-temperature reduction of Ag3PO4. The first method provides the information on “bulk” oxygen compositions, while the second determines the composition of phosphate-bound oxygen. The repeatability of SIMS measurements on random crystal fragments was better than 0.25‰ (1 standard deviation, 1s) for the different RMs, confirming good homogeneity at the nanogram scale. The IRMS-determined δ18OSMOW values, which fall between ~5 and ~22‰ for the different samples, cover almost the full range of compositions found in igneous, metamorphic and biogenic apatite samples. However, the IRMS data collected using different techniques show offsets of ~1-2‰. The δ18O values obtained using laser fluorination are, in most cases, lower than those acquired by high-temperature reduction. Furthermore, the data collected within each group of IRMS methods reveal differences between laboratories, which do not correlate with the chemical composition of the apatite crystals. This suggests a more complex behavior of apatite during sample processing for conventional δ18O analyses as compared to other minerals such as tourmaline, and highlights the importance of the characterization of RMs with the support of multiple laboratories applying different protocols.
This research was partially funded by the Polish NCN grant no. 2013/11/B/ST10/04753 and the IGS PAS grant for the early career researchers as well as supported by the COST Action TD 1308 “ORIGINS” and the German Academic Exchange Service (DAAD).
References
Joachimski et al. 2009. Earth and Planetary Science Letters, 284, 599-609. doi: 10.1016/j.epsl.2009.05.028
Sun et al. 2016. Chemical Geology, 440, 164-178. doi: 10.1016/j.chemgeo.2016.07.013
How to cite: Wudarska, A., Wiedenbeck, M., Słaby, E., Harris, C., Joachimski, M. M., Lécuyer, C., MacLeod, K. G., Pack, A., Vennemann, T., Couffignal, F., Glodny, J., Kusebauch, C., Lempart, M., Sun, Y., and Wilke, F.: SIMS- and IRMS-based study of apatite reference materials reveals new analytical challenges for oxygen isotope analysis, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18841, https://doi.org/10.5194/egusphere-egu2020-18841, 2020.
Minerals of the apatite group, especially hydroxylapatite Ca5(PO4)3OH, are valuable archives for reconstructing environmental conditions occurring throughout the Earth’s history (e.g., Joachimski et al. 2009). Apatite oxygen isotope compositions have proved useful in studies of conodonts as well as fish and mammalian teeth and bones. Secondary ion mass spectrometry (SIMS) is a rapid and precise technique that enables the investigation of small and heterogeneous samples. However, this method is constrained by the availability of matrix-matched reference materials (RMs). The most commonly used RM for calibrating δ18O phosphate SIMS measurements – Durango apatite – has been found to be heterogeneous (Sun et al. 2016); therefore, we have undertaken this study, in which we have characterized a new suite of RMs for oxygen isotope analyses of apatite. Four potential apatite RMs obtained from various sources were assessed for 18O/16O homogeneity using SIMS. The major and trace element compositions were determined by electron probe microanalyses (FE-EPMA), while the contents of OH- and CO32- were assessed using thermogravimetric analysis (TG) and infrared spectroscopy (IR). The δ18O reference values have now been determined in six independent laboratories using isotope ratio mass spectrometry (IRMS) and applying different analytical protocols, which fall into two groups: laser fluorination and high-temperature reduction of Ag3PO4. The first method provides the information on “bulk” oxygen compositions, while the second determines the composition of phosphate-bound oxygen. The repeatability of SIMS measurements on random crystal fragments was better than 0.25‰ (1 standard deviation, 1s) for the different RMs, confirming good homogeneity at the nanogram scale. The IRMS-determined δ18OSMOW values, which fall between ~5 and ~22‰ for the different samples, cover almost the full range of compositions found in igneous, metamorphic and biogenic apatite samples. However, the IRMS data collected using different techniques show offsets of ~1-2‰. The δ18O values obtained using laser fluorination are, in most cases, lower than those acquired by high-temperature reduction. Furthermore, the data collected within each group of IRMS methods reveal differences between laboratories, which do not correlate with the chemical composition of the apatite crystals. This suggests a more complex behavior of apatite during sample processing for conventional δ18O analyses as compared to other minerals such as tourmaline, and highlights the importance of the characterization of RMs with the support of multiple laboratories applying different protocols.
This research was partially funded by the Polish NCN grant no. 2013/11/B/ST10/04753 and the IGS PAS grant for the early career researchers as well as supported by the COST Action TD 1308 “ORIGINS” and the German Academic Exchange Service (DAAD).
References
Joachimski et al. 2009. Earth and Planetary Science Letters, 284, 599-609. doi: 10.1016/j.epsl.2009.05.028
Sun et al. 2016. Chemical Geology, 440, 164-178. doi: 10.1016/j.chemgeo.2016.07.013
How to cite: Wudarska, A., Wiedenbeck, M., Słaby, E., Harris, C., Joachimski, M. M., Lécuyer, C., MacLeod, K. G., Pack, A., Vennemann, T., Couffignal, F., Glodny, J., Kusebauch, C., Lempart, M., Sun, Y., and Wilke, F.: SIMS- and IRMS-based study of apatite reference materials reveals new analytical challenges for oxygen isotope analysis, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18841, https://doi.org/10.5194/egusphere-egu2020-18841, 2020.
EGU2020-22332 | Displays | BG2.5
Upcoming food matrix stable isotope reference materials from the USGS: honeys, vegetable oils, flours, and collagensNives Ogrinc, Arndt Schimmelmann, Haiping Qi, Federica Camin, Luana Bontempo, Doris Potočnik, Aiman Abrahim, Andrew Cannavan, James F. Carter, Philip J.H. Dunn, Lauren T. Reid, and Tyler B. Coplen
An international project developed, quality-tested, and measured isotope−delta values of 10 new food matrix reference materials (RMs) for hydrogen, carbon, nitrogen, oxygen, and sulfur stable isotope-ratio measurements to support food authenticity testing and food provenance verification. These new RMs will enable users to normalize measurements of samples to isotope−delta scales. The RMs span a range of δ2HVSMOW values from −207.4 to −43.3 mUr or ‰, for δ13CVPDB from −30.60 to −13.72 mUr, for δ15Nair from +1.78 to +14.96 mUr, for δ18OVSMOW from +18.20 to +26.33 mUr, and for δ34SVCDT from −20.25 to +17.49 mUr. The RMs include (i) a pair of honeys from Canada and tropical Vietnam, (ii) flours from C3 (rice) and C4 (millet) plants, (iii) four vegetable oils from C3 (olive, peanut) and C4 (corn) plants, and (iv) collagen powders from marine fish and terrestrial mammal origins. After thorough homogenization of the bulk materials, multiple aliquots were sealed in glass under vacuum or noble gas to exclude oxygen and to potentially extend the shelf life to decades when stored at –18 °C in the dark. A total of six laboratories from five countries used various analytical approaches and instrumentation for two- or multiple-point isotopic normalization against international RMs. The use of reference waters and organic liquids in silver tubes allowed direct normalization of δ2H values of organic materials against isotopic reference waters following the principle of identical treatment, minimizing interference from atmospheric moisture. An errors-in-variables regression model that included the uncertainty associated with the measured and assigned values of the RMs was applied centrally to normalize results and obtain consensus values and measurement uncertainties reported here for new RMs USGS82 to USGS91. Because of exchangeable hydrogen and H2O in some RMs (especially in honeys, collagens, and flours), sample loading in contact with laboratory air and different types of pre-treatment can result in significant bulk δ2H variance. Utilization of these new RMs should foster mutual compatibility of δ2H values if harmonized technical/analytical approaches are followed and documented in data reports.
How to cite: Ogrinc, N., Schimmelmann, A., Qi, H., Camin, F., Bontempo, L., Potočnik, D., Abrahim, A., Cannavan, A., Carter, J. F., Dunn, P. J. H., Reid, L. T., and Coplen, T. B.: Upcoming food matrix stable isotope reference materials from the USGS: honeys, vegetable oils, flours, and collagens, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22332, https://doi.org/10.5194/egusphere-egu2020-22332, 2020.
An international project developed, quality-tested, and measured isotope−delta values of 10 new food matrix reference materials (RMs) for hydrogen, carbon, nitrogen, oxygen, and sulfur stable isotope-ratio measurements to support food authenticity testing and food provenance verification. These new RMs will enable users to normalize measurements of samples to isotope−delta scales. The RMs span a range of δ2HVSMOW values from −207.4 to −43.3 mUr or ‰, for δ13CVPDB from −30.60 to −13.72 mUr, for δ15Nair from +1.78 to +14.96 mUr, for δ18OVSMOW from +18.20 to +26.33 mUr, and for δ34SVCDT from −20.25 to +17.49 mUr. The RMs include (i) a pair of honeys from Canada and tropical Vietnam, (ii) flours from C3 (rice) and C4 (millet) plants, (iii) four vegetable oils from C3 (olive, peanut) and C4 (corn) plants, and (iv) collagen powders from marine fish and terrestrial mammal origins. After thorough homogenization of the bulk materials, multiple aliquots were sealed in glass under vacuum or noble gas to exclude oxygen and to potentially extend the shelf life to decades when stored at –18 °C in the dark. A total of six laboratories from five countries used various analytical approaches and instrumentation for two- or multiple-point isotopic normalization against international RMs. The use of reference waters and organic liquids in silver tubes allowed direct normalization of δ2H values of organic materials against isotopic reference waters following the principle of identical treatment, minimizing interference from atmospheric moisture. An errors-in-variables regression model that included the uncertainty associated with the measured and assigned values of the RMs was applied centrally to normalize results and obtain consensus values and measurement uncertainties reported here for new RMs USGS82 to USGS91. Because of exchangeable hydrogen and H2O in some RMs (especially in honeys, collagens, and flours), sample loading in contact with laboratory air and different types of pre-treatment can result in significant bulk δ2H variance. Utilization of these new RMs should foster mutual compatibility of δ2H values if harmonized technical/analytical approaches are followed and documented in data reports.
How to cite: Ogrinc, N., Schimmelmann, A., Qi, H., Camin, F., Bontempo, L., Potočnik, D., Abrahim, A., Cannavan, A., Carter, J. F., Dunn, P. J. H., Reid, L. T., and Coplen, T. B.: Upcoming food matrix stable isotope reference materials from the USGS: honeys, vegetable oils, flours, and collagens, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22332, https://doi.org/10.5194/egusphere-egu2020-22332, 2020.
EGU2020-22653 | Displays | BG2.5
LAC-IC 2018: Evaluation of the first IAEA regional water δ¹⁸O/δ²H interlaboratory comparison exerciseStefan Terzer-Wassmuth, Lucia Ortega, Luis Araguas-Araguas, and Leonard I. Wassenaar
Throughout the past decades, δ¹⁸O and δ²H of the water molecule have been widely used as tracers in the hydrological and climatological sciences. Until the late 2000s, isotope-ratio mass spectrometry was the only available analytical technology, with associated capital investments, operating expenditures and human resource and infrastructure requirements. The advent of laser spectrometric techniques during the last decade has reduced most of these requirements and enabled a great number of research groups to conduct their own analyses rather than contracting these out. This is a crucial advance especially for countries where resources to operate mass spectrometry laboratories are limited and has resulted in a boost of the usage of δ¹⁸O and δ²H in research and applied water management. However, the rapid proliferation of laser spectrometers has raised occasional QA/QC concerns about the data resulting from such laboratories, which is not only to the detriment of the research groups concerned, but also to the science and analytical technology as such.
To address these concerns, we organized a geographically constrained laboratory intercomparison exercise involving 25 laboratories with δ¹⁸O and δ²H analytical capabilities in the Latin American and Caribbean (LAC) region. The exercise was preceded by a survey questionnaire which provided information on the instrumentation, reference materials, data processing techniques and QA/QC approaches, as well as a self-assessment of the available human resources for δ¹⁸O and δ²H analysis. Consecutively, three test samples were provided to the laboratories, and results collected in a template form. We used z-scores to assess performance per sample and aggregated to laboratory level, with a fairly tight standard deviation of the proficiency test of 0.1 ‰ for δ¹⁸O and 0.8 ‰ for δ²H, which we deemed fit for purpose in hydrological investigations. Laboratory performance was ranked as satisfactory if z<2, questionable if 2≤z<3 and unsatisfactory if z≥3. After the deadline, all laboratories received an individual performance report.
Our results show that: (i) that 90% of the submissions were measured by laser spectrometry; (ii) for δ²H, 80% of the laboratories submitted satisfactory results (10% questionable) and (iii) for δ¹⁸O the results were more variable resulting in 50% satisfactory and 35% questionable submissions. We therefore conclude that most laboratories in the region can provide δ²H results that are fit for purpose, however with quite some margin for improvement in δ¹⁸O. This may be explainable in part by the technical challenges of δ¹⁸O assays on laser spectrometers compared to δ²H (e.g. dependency of δ¹⁸O on the H₂O concentration). We attempted to identify key factors of good and poor performance; however, on the fairly small number of participants, no obvious causes could be identified. There are indications that commonly known questionable practices may negatively influence performance, with the reasons for that (lack of resources or access thereto, inadequate training or awareness) to be determined.
How to cite: Terzer-Wassmuth, S., Ortega, L., Araguas-Araguas, L., and Wassenaar, L. I.: LAC-IC 2018: Evaluation of the first IAEA regional water δ¹⁸O/δ²H interlaboratory comparison exercise, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22653, https://doi.org/10.5194/egusphere-egu2020-22653, 2020.
Throughout the past decades, δ¹⁸O and δ²H of the water molecule have been widely used as tracers in the hydrological and climatological sciences. Until the late 2000s, isotope-ratio mass spectrometry was the only available analytical technology, with associated capital investments, operating expenditures and human resource and infrastructure requirements. The advent of laser spectrometric techniques during the last decade has reduced most of these requirements and enabled a great number of research groups to conduct their own analyses rather than contracting these out. This is a crucial advance especially for countries where resources to operate mass spectrometry laboratories are limited and has resulted in a boost of the usage of δ¹⁸O and δ²H in research and applied water management. However, the rapid proliferation of laser spectrometers has raised occasional QA/QC concerns about the data resulting from such laboratories, which is not only to the detriment of the research groups concerned, but also to the science and analytical technology as such.
To address these concerns, we organized a geographically constrained laboratory intercomparison exercise involving 25 laboratories with δ¹⁸O and δ²H analytical capabilities in the Latin American and Caribbean (LAC) region. The exercise was preceded by a survey questionnaire which provided information on the instrumentation, reference materials, data processing techniques and QA/QC approaches, as well as a self-assessment of the available human resources for δ¹⁸O and δ²H analysis. Consecutively, three test samples were provided to the laboratories, and results collected in a template form. We used z-scores to assess performance per sample and aggregated to laboratory level, with a fairly tight standard deviation of the proficiency test of 0.1 ‰ for δ¹⁸O and 0.8 ‰ for δ²H, which we deemed fit for purpose in hydrological investigations. Laboratory performance was ranked as satisfactory if z<2, questionable if 2≤z<3 and unsatisfactory if z≥3. After the deadline, all laboratories received an individual performance report.
Our results show that: (i) that 90% of the submissions were measured by laser spectrometry; (ii) for δ²H, 80% of the laboratories submitted satisfactory results (10% questionable) and (iii) for δ¹⁸O the results were more variable resulting in 50% satisfactory and 35% questionable submissions. We therefore conclude that most laboratories in the region can provide δ²H results that are fit for purpose, however with quite some margin for improvement in δ¹⁸O. This may be explainable in part by the technical challenges of δ¹⁸O assays on laser spectrometers compared to δ²H (e.g. dependency of δ¹⁸O on the H₂O concentration). We attempted to identify key factors of good and poor performance; however, on the fairly small number of participants, no obvious causes could be identified. There are indications that commonly known questionable practices may negatively influence performance, with the reasons for that (lack of resources or access thereto, inadequate training or awareness) to be determined.
How to cite: Terzer-Wassmuth, S., Ortega, L., Araguas-Araguas, L., and Wassenaar, L. I.: LAC-IC 2018: Evaluation of the first IAEA regional water δ¹⁸O/δ²H interlaboratory comparison exercise, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22653, https://doi.org/10.5194/egusphere-egu2020-22653, 2020.
EGU2020-22506 | Displays | BG2.5
Consistent data compilation and error propagation for stable isotope data to compile meaningful reference values and uncertaintiesManfred Groening
Nowadays stable isotope data need to be accompanied by meaningful uncertainty statements for their full utilisation, whether to evaluate their isotopic composition as evidence for origin of samples, for observation and proper evaluation of small isotopic trends due to transient effects, or to their use as laboratory standards. The Guide of Expression of Uncertainty in Measurements (GUM) provides a general framework to perform the task to calculate data with combined standard uncertainties. However, combining several such measurement data in a proper way is not straightforward without consideration of the correlation matrix and mathematical complicated elaborations. An Excel based tool provides means for any laboratory to calculate individual data with their associated combined standard uncertainties, including all major sources of uncertainty like the repeatability and long-term reproducibility of measurements, the possible bias of quality controls, the assigned uncertainty of used reference materials and their measurement data scatter. The tool further allows to calculate and correct memory effects and drifts as occurring in measurements. Standardised correction means allow the merging of data from different instruments with varying performance. This provides ultimately the means to combine such data without compromising the validity of the calculated combined standard uncertainty of the average value. This constitutes the possibility to produce a meaningful reference value with associated combined standard uncertainty from heterogeneous data, e.g. for the purpose to characterize a laboratory reference material by use of independent methods. The tool (SICalib) is available free of charge, is based on Excel macros as a standalone tool for measured rawdata files without the requirement of any particular database or other tool, and is still under further development. Its intention is complementary to available data management systems with a focus of proper uncertainty propagation.
How to cite: Groening, M.: Consistent data compilation and error propagation for stable isotope data to compile meaningful reference values and uncertainties , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22506, https://doi.org/10.5194/egusphere-egu2020-22506, 2020.
Nowadays stable isotope data need to be accompanied by meaningful uncertainty statements for their full utilisation, whether to evaluate their isotopic composition as evidence for origin of samples, for observation and proper evaluation of small isotopic trends due to transient effects, or to their use as laboratory standards. The Guide of Expression of Uncertainty in Measurements (GUM) provides a general framework to perform the task to calculate data with combined standard uncertainties. However, combining several such measurement data in a proper way is not straightforward without consideration of the correlation matrix and mathematical complicated elaborations. An Excel based tool provides means for any laboratory to calculate individual data with their associated combined standard uncertainties, including all major sources of uncertainty like the repeatability and long-term reproducibility of measurements, the possible bias of quality controls, the assigned uncertainty of used reference materials and their measurement data scatter. The tool further allows to calculate and correct memory effects and drifts as occurring in measurements. Standardised correction means allow the merging of data from different instruments with varying performance. This provides ultimately the means to combine such data without compromising the validity of the calculated combined standard uncertainty of the average value. This constitutes the possibility to produce a meaningful reference value with associated combined standard uncertainty from heterogeneous data, e.g. for the purpose to characterize a laboratory reference material by use of independent methods. The tool (SICalib) is available free of charge, is based on Excel macros as a standalone tool for measured rawdata files without the requirement of any particular database or other tool, and is still under further development. Its intention is complementary to available data management systems with a focus of proper uncertainty propagation.
How to cite: Groening, M.: Consistent data compilation and error propagation for stable isotope data to compile meaningful reference values and uncertainties , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22506, https://doi.org/10.5194/egusphere-egu2020-22506, 2020.
EGU2020-22382 | Displays | BG2.5
Traceability in isotope ratio measurements: the role of data analysisJuris Meija
Isotope ratios offer countless applications but almost as a rule precision measurements are required. Making use of such measurements involves comparison of the results between the laboratories which, in turn, requires international primary standards. Much less appreciated is the role of data analysis and measurement models. This presentation will feature a variety of examples of stable isotope ratio measurements, including light and heavy elements with examples from the redefinition of the kilogram, lead-lead dating, and carbon isotope delta reference scales, showing that choices on how we interpret and model our measurements can affect the traceability and comparability of isotope ratio measurements. The challenge is therefore for the analysts to recognize data analysis practices as a natural part of the measurement.
How to cite: Meija, J.: Traceability in isotope ratio measurements: the role of data analysis, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22382, https://doi.org/10.5194/egusphere-egu2020-22382, 2020.
Isotope ratios offer countless applications but almost as a rule precision measurements are required. Making use of such measurements involves comparison of the results between the laboratories which, in turn, requires international primary standards. Much less appreciated is the role of data analysis and measurement models. This presentation will feature a variety of examples of stable isotope ratio measurements, including light and heavy elements with examples from the redefinition of the kilogram, lead-lead dating, and carbon isotope delta reference scales, showing that choices on how we interpret and model our measurements can affect the traceability and comparability of isotope ratio measurements. The challenge is therefore for the analysts to recognize data analysis practices as a natural part of the measurement.
How to cite: Meija, J.: Traceability in isotope ratio measurements: the role of data analysis, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22382, https://doi.org/10.5194/egusphere-egu2020-22382, 2020.
EGU2020-20490 | Displays | BG2.5
Pitfalls, questions and solutions when sampling water for stable isotope analyses along complex riverine systemsTraian Brad, Aurel Persoiu, and Artur Ionescu
The second largest city in Romania (Cluj-Napoca) is supplied with drinking water originating from the upper basin of Somesul Mic river (SMR). As part of an ongoing project, we aim to investigate the origin, flow and quality of water consumed in the city by collecting monthly river, lake, tap and groundwater and performing physical, chemical and stable isotope analyses (d18O and d2H in water, and d13C in DIC). However, owing to the different types of water bodies to be sampled and the local climate, with freezing conditions for up to six months in the upper basin, the results of the analyses might indicate time and space specific conditions, rather than the general hydrologic conditions we were targeting. Thus, we have modified our approach, and have devised a secondary sampling strategy in order to address these issues.
We present here a sampling strategy that aims to disentangle between different factors controlling the stable isotope composition of surface waters under different geomorphologic and climatic conditions and minimize the risk of introducing unwanted biases. Briefly, we have sampled water under both freezing and non-freezing conditions from the rivers and lakes along the main trunk of SMR and measured d18O (and d2H) in water, as well as d13C in DIC. Our data shows that the presence of ice strongly affects that stable isotope composition of river and lake water (as a result of strong kinetic processes resulting from the specifics of water solidification) and the results of these measurements are meaningless when trying to understand the connections between the various water bodies. Contrary, d13C in DIC was less affected by the freezing processes, a finding mirrored by the chemical values of the water. However, the later were strongly influenced by local geomorphologic conditions, both in summer and winter. In lakes, sampling at different locations on the surface and at different depths resulted in a wide range of stable isotope ratios for O and H, unrelated to values measured in the inflowing and outflowing streams. Overall, our data suggest that monthly stable isotope values of river and lake water along a flow path are difficult to interpret in terms of residence and transit times and mixing of sources. Thus, in regions where freezing is recurrent, kinetic fractionation processes have a contribution to the “final” stable isotope composition of water that is higher than that resulting from other (hydrological) processes. Contrary, more valuable data was obtained when the stable isotope composition of surface waters was compared with that of precipitation water, allowing for possible identification of moisture sources and pathways feeding the local water bodies. We conclude that in order to generate valuable data, quality control must first start with designing site-specific protocols for sampling and stable isotope analyses of water and factors altering the “sought-for” values should be considered first before interpreting the results.
The IAEA partly supported this study through contract numbers 23870 and 23550. The research leading to these results has received funding from the EEA Grants 2014-2021, under Project contract 4/2019 (GROUNDWATERISK).
How to cite: Brad, T., Persoiu, A., and Ionescu, A.: Pitfalls, questions and solutions when sampling water for stable isotope analyses along complex riverine systems, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20490, https://doi.org/10.5194/egusphere-egu2020-20490, 2020.
The second largest city in Romania (Cluj-Napoca) is supplied with drinking water originating from the upper basin of Somesul Mic river (SMR). As part of an ongoing project, we aim to investigate the origin, flow and quality of water consumed in the city by collecting monthly river, lake, tap and groundwater and performing physical, chemical and stable isotope analyses (d18O and d2H in water, and d13C in DIC). However, owing to the different types of water bodies to be sampled and the local climate, with freezing conditions for up to six months in the upper basin, the results of the analyses might indicate time and space specific conditions, rather than the general hydrologic conditions we were targeting. Thus, we have modified our approach, and have devised a secondary sampling strategy in order to address these issues.
We present here a sampling strategy that aims to disentangle between different factors controlling the stable isotope composition of surface waters under different geomorphologic and climatic conditions and minimize the risk of introducing unwanted biases. Briefly, we have sampled water under both freezing and non-freezing conditions from the rivers and lakes along the main trunk of SMR and measured d18O (and d2H) in water, as well as d13C in DIC. Our data shows that the presence of ice strongly affects that stable isotope composition of river and lake water (as a result of strong kinetic processes resulting from the specifics of water solidification) and the results of these measurements are meaningless when trying to understand the connections between the various water bodies. Contrary, d13C in DIC was less affected by the freezing processes, a finding mirrored by the chemical values of the water. However, the later were strongly influenced by local geomorphologic conditions, both in summer and winter. In lakes, sampling at different locations on the surface and at different depths resulted in a wide range of stable isotope ratios for O and H, unrelated to values measured in the inflowing and outflowing streams. Overall, our data suggest that monthly stable isotope values of river and lake water along a flow path are difficult to interpret in terms of residence and transit times and mixing of sources. Thus, in regions where freezing is recurrent, kinetic fractionation processes have a contribution to the “final” stable isotope composition of water that is higher than that resulting from other (hydrological) processes. Contrary, more valuable data was obtained when the stable isotope composition of surface waters was compared with that of precipitation water, allowing for possible identification of moisture sources and pathways feeding the local water bodies. We conclude that in order to generate valuable data, quality control must first start with designing site-specific protocols for sampling and stable isotope analyses of water and factors altering the “sought-for” values should be considered first before interpreting the results.
The IAEA partly supported this study through contract numbers 23870 and 23550. The research leading to these results has received funding from the EEA Grants 2014-2021, under Project contract 4/2019 (GROUNDWATERISK).
How to cite: Brad, T., Persoiu, A., and Ionescu, A.: Pitfalls, questions and solutions when sampling water for stable isotope analyses along complex riverine systems, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20490, https://doi.org/10.5194/egusphere-egu2020-20490, 2020.
EGU2020-1601 | Displays | BG2.5
High-precision compound-specific carbon isotopic analysis of underivatized amino acids using a multi-dimensional-HPLC and nano-EA/IRMSYuchen Sun, Naoto F. Ishikawa, Nanako O. Ogawa, Hodaka Kawahata, Yoshinori Takano, and Naohiko Ohkouchi
We have developed an analytical method for the precise δ13C measurement of individual amino acid using a multi-dimensional high-performance liquid chromatography (HPLC) and a nano-scale elemental analyzer/isotope ratio mass spectrometry (EA/IRMS). Although this method is time-consuming, it can offer higher precision and accuracy than does the conventional analytical method such as GC/C/IRMS, because the derivatization of amino acids is not required. A reversed-phase column (CAPCELL PAK C18, Shiseido, Japan) and a mixed-mode column (Primesep A, SIELC Technologies, U.S.A.) were applied for the HPLC (Agilent Technologies, U.S.A.) with a charged aerosol detector (Thermo Fisher Scientific, U.S.A.) (Ishikawa et al., 2018). We conducted the isolation of underivatized amino acids in a standard mixture containing 15 proteinogenic amino acids (Gly, Ala, Glu, Arg, Val, Pro, Met, Tyr, Ile, Leu, Phe, Thr, His, Asp, Ser), and confirmed that all these amino acids were successfully isolated. Each collected amino acid was filtered through a 0.45 μm membrane filter (Pall, U.S.A.) and washed with diethyl ether to remove hydrophobic impurities. The δ13C values of these amino acids before and after the separation and purification were consistent, which proved that the whole experimental procedure did not change the δ13C values of amino acids. We applied this method to several aquatic organisms. The results show that the δ13C values of amino acids vary as large as 30‰ with Gly being most enriched in 13C.
Reference
Ishikawa et al., (2018) Anal. Chem., 90, 20, 12035-12041.
How to cite: Sun, Y., Ishikawa, N. F., Ogawa, N. O., Kawahata, H., Takano, Y., and Ohkouchi, N.: High-precision compound-specific carbon isotopic analysis of underivatized amino acids using a multi-dimensional-HPLC and nano-EA/IRMS, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1601, https://doi.org/10.5194/egusphere-egu2020-1601, 2020.
We have developed an analytical method for the precise δ13C measurement of individual amino acid using a multi-dimensional high-performance liquid chromatography (HPLC) and a nano-scale elemental analyzer/isotope ratio mass spectrometry (EA/IRMS). Although this method is time-consuming, it can offer higher precision and accuracy than does the conventional analytical method such as GC/C/IRMS, because the derivatization of amino acids is not required. A reversed-phase column (CAPCELL PAK C18, Shiseido, Japan) and a mixed-mode column (Primesep A, SIELC Technologies, U.S.A.) were applied for the HPLC (Agilent Technologies, U.S.A.) with a charged aerosol detector (Thermo Fisher Scientific, U.S.A.) (Ishikawa et al., 2018). We conducted the isolation of underivatized amino acids in a standard mixture containing 15 proteinogenic amino acids (Gly, Ala, Glu, Arg, Val, Pro, Met, Tyr, Ile, Leu, Phe, Thr, His, Asp, Ser), and confirmed that all these amino acids were successfully isolated. Each collected amino acid was filtered through a 0.45 μm membrane filter (Pall, U.S.A.) and washed with diethyl ether to remove hydrophobic impurities. The δ13C values of these amino acids before and after the separation and purification were consistent, which proved that the whole experimental procedure did not change the δ13C values of amino acids. We applied this method to several aquatic organisms. The results show that the δ13C values of amino acids vary as large as 30‰ with Gly being most enriched in 13C.
Reference
Ishikawa et al., (2018) Anal. Chem., 90, 20, 12035-12041.
How to cite: Sun, Y., Ishikawa, N. F., Ogawa, N. O., Kawahata, H., Takano, Y., and Ohkouchi, N.: High-precision compound-specific carbon isotopic analysis of underivatized amino acids using a multi-dimensional-HPLC and nano-EA/IRMS, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1601, https://doi.org/10.5194/egusphere-egu2020-1601, 2020.
EGU2020-20624 | Displays | BG2.5
New insights for studying phosphate stable oxygen isotopes in bioapatites interpreted from their geochemistryZoneibe Luz, Marc Leu, Lukas P. Baumgartner, Hugo Bucher, and Torsten Vennemann
Fossil bioapatite is widely used as a proxy to estimate paleoclimatic and/or – environmental conditions. However, the scarcity of well–preserved specimens in some samples mingled with their small sizes frequently compromise the application of notable geochemical techniques (e. g., laser fluorination). While some in–situ and non–destructive methods allow studies of single specimens, it is important to understand the specimens’ microstructure and the elemental– and isotopic variations between structurally different parts. These parameters may vary as a function of the environmental conditions during the formation of biogenic tissue. To better understand the nature of bioapatites, different geochemical techniques were applied to apparently well–preserved samples of distinct age: conodonts (Early Triassic, CAI 1 to 2), fossil (Paleogene) and modern shark teeth. The microstructure and element distribution of the samples were investigated using scanning electron microscopy (SEM) and an electron microprobe (EMPA), respectively. Paleoenvironmental conditions and relative sea water temperatures in which bioapatites were formed is grounded in stable oxygen isotope analyses (δ18OPO4). Two methods were used for measurements of the δ18OPO4 values: a classical method using bulk sampling and high temperature reduction (HTR) analysis, and in–situ measurements by secondary ion mass spectrometry (SIMS). Quantitative analyses and chemical maps of segminiplanate conodont P1–elements are often found to be heterogeneous in terms of their element concentrations. The reason for this heterogeneous element distribution may be related to conodonts retracting their teeth during growth, suggested notably by variations in Mg, S and Na concentrations. Stable oxygen isotope measurements by HTR reproduced better than ±0.3 ‰ of standard deviations for most bioapatites. Conodonts from Timor analyzed by SIMS could be separated into three distinct groups (TMbase, TMpost, TMinner), based on differences in their δ18OPO4 values. In the analyzed samples where the hyaline crown is mixed with the albid crown, variations in δ18OPO4 values are larger (TMpost: 16±1 ‰, n = 13; TMinner: 15.7±1.9 ‰, n = 11) than samples where only the hyaline crown was analyzed (TMbase: 17.1±0.2 ‰, n = 12). Moreover, the δ18OPO4 values from the latter dataset overlap with those from Timor samples analyzed by HTR (17.3±0.4 ‰, n = 7). Shark teeth had a larger variation in their δ18OPO4 values as well when analyzed by the in–situ technique. The inter–tissue δ18OPO4 variation between enameloid zones in the same tooth is up to 5.5 ‰. The heterogeneity in the elemental concentrations of the studied bioapatites apparently do not result in significantly machine fractionation for the in–situ (SIMS) stable oxygen isotopic measurements. Instead, variation of δ18OPO4 values appears to be sensitive to remains of organic matter/carbonate in phosphate, analytical artefacts related to sample topography (for sharks) or vital effects. Based on these results, the conodont sample set from Timor (Scythogondolella ex. gr. milleri) was chosen as an internal standard for stable isotope analyses in bioapatite of the SwissSIMS laboratory. This new in–house standard could be used to normalize the oxygen isotope values and consequently help interpret variations in paleoclimate and/or – environmental conditions for bioapatite.
How to cite: Luz, Z., Leu, M., Baumgartner, L. P., Bucher, H., and Vennemann, T.: New insights for studying phosphate stable oxygen isotopes in bioapatites interpreted from their geochemistry, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20624, https://doi.org/10.5194/egusphere-egu2020-20624, 2020.
Fossil bioapatite is widely used as a proxy to estimate paleoclimatic and/or – environmental conditions. However, the scarcity of well–preserved specimens in some samples mingled with their small sizes frequently compromise the application of notable geochemical techniques (e. g., laser fluorination). While some in–situ and non–destructive methods allow studies of single specimens, it is important to understand the specimens’ microstructure and the elemental– and isotopic variations between structurally different parts. These parameters may vary as a function of the environmental conditions during the formation of biogenic tissue. To better understand the nature of bioapatites, different geochemical techniques were applied to apparently well–preserved samples of distinct age: conodonts (Early Triassic, CAI 1 to 2), fossil (Paleogene) and modern shark teeth. The microstructure and element distribution of the samples were investigated using scanning electron microscopy (SEM) and an electron microprobe (EMPA), respectively. Paleoenvironmental conditions and relative sea water temperatures in which bioapatites were formed is grounded in stable oxygen isotope analyses (δ18OPO4). Two methods were used for measurements of the δ18OPO4 values: a classical method using bulk sampling and high temperature reduction (HTR) analysis, and in–situ measurements by secondary ion mass spectrometry (SIMS). Quantitative analyses and chemical maps of segminiplanate conodont P1–elements are often found to be heterogeneous in terms of their element concentrations. The reason for this heterogeneous element distribution may be related to conodonts retracting their teeth during growth, suggested notably by variations in Mg, S and Na concentrations. Stable oxygen isotope measurements by HTR reproduced better than ±0.3 ‰ of standard deviations for most bioapatites. Conodonts from Timor analyzed by SIMS could be separated into three distinct groups (TMbase, TMpost, TMinner), based on differences in their δ18OPO4 values. In the analyzed samples where the hyaline crown is mixed with the albid crown, variations in δ18OPO4 values are larger (TMpost: 16±1 ‰, n = 13; TMinner: 15.7±1.9 ‰, n = 11) than samples where only the hyaline crown was analyzed (TMbase: 17.1±0.2 ‰, n = 12). Moreover, the δ18OPO4 values from the latter dataset overlap with those from Timor samples analyzed by HTR (17.3±0.4 ‰, n = 7). Shark teeth had a larger variation in their δ18OPO4 values as well when analyzed by the in–situ technique. The inter–tissue δ18OPO4 variation between enameloid zones in the same tooth is up to 5.5 ‰. The heterogeneity in the elemental concentrations of the studied bioapatites apparently do not result in significantly machine fractionation for the in–situ (SIMS) stable oxygen isotopic measurements. Instead, variation of δ18OPO4 values appears to be sensitive to remains of organic matter/carbonate in phosphate, analytical artefacts related to sample topography (for sharks) or vital effects. Based on these results, the conodont sample set from Timor (Scythogondolella ex. gr. milleri) was chosen as an internal standard for stable isotope analyses in bioapatite of the SwissSIMS laboratory. This new in–house standard could be used to normalize the oxygen isotope values and consequently help interpret variations in paleoclimate and/or – environmental conditions for bioapatite.
How to cite: Luz, Z., Leu, M., Baumgartner, L. P., Bucher, H., and Vennemann, T.: New insights for studying phosphate stable oxygen isotopes in bioapatites interpreted from their geochemistry, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20624, https://doi.org/10.5194/egusphere-egu2020-20624, 2020.
EGU2020-17571 | Displays | BG2.5
Concentration dependence and scale linearity of the carbon isotope ratio measurement systems based on CRDSIan Chubchenko and Leonid Konopelko
Isotope ratio measurement systems based on optical spectrometers becomes widely used because of several important advantages. First is fundamental possibility to distinguish the isotopologues with the same molecular weight but different isotopic composition like 16O13C16O and 16O12C17O. Second is fundamental possibility to perform calibration free absolute measurement of different isotopologues based on ab initio calculations of line intensities [1]. Third is experimental usability, field deployability and low cost of the optical instruments.
The disadvantage of the optical isotope ratio spectrometers available on the market compared to the isotope ratio mass spectrometers is still low accuracy associated not only with the capabilities of optical instruments as such, but also with the lack of high-precision measurement procedures. To improve the accuracy of the optical measurement system, the main factors affecting the measurement result should be investigated and eliminated.
In this study, we used CM-CRDS carbon isotope ratio measurement system consisted of Picarro G2131i analyzer, Picarro combustion module, Picarro Caddy Universal interface, homemade system of solenoid valves Camozzi. The calibration of the measurement system was made by combustion of certified reference materials from the International Atomic Energy Agency as recommended in [2]. The linearity of the delta scale was evaluated. Non-linearity of the delta scale leads to a bias if just one or two certified reference materials are used for calibration.
The measurement procedure of carbon isotope ratios in solid sample on CM-CRDS is as follows. A sample is broken down into elemental components in the combustion module. After the cleaning from interfering components, CO2 is diluted with nitrogen and analyzed by CRDS instrument. The similar procedure is performed with reference material. The issue is that even if the mass of sample and reference material are the same, the concentration of CO2 in the analyzed mixture is different. Mismatch of concentrations leads to bias in measured isotope ratios. The magnitude of concentration dependence is estimated in this study.
The obtained results are discussed and ways to eliminate the abovementioned issues are proposed.
[1] Polyansky, Oleg & Bielska, Katarzyna & Ghysels, Mélanie & Lodi, Lorenzo & Zobov, Nikolai & Hodges, Joseph & Tennyson, Jonathan. (2015). High-Accuracy CO2 Line Intensities Determined from Theory and Experiment. Physical Review Letters. 114. 10.1103/PhysRevLett.114.243001.
[2] Willi A. Brand et al. Assessment of international reference materials for isotope-ratio analysis (IUPAC Technical Report). Pure Appl. Chem., 2014, 86(3), Pages 425–467
How to cite: Chubchenko, I. and Konopelko, L.: Concentration dependence and scale linearity of the carbon isotope ratio measurement systems based on CRDS, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-17571, https://doi.org/10.5194/egusphere-egu2020-17571, 2020.
Isotope ratio measurement systems based on optical spectrometers becomes widely used because of several important advantages. First is fundamental possibility to distinguish the isotopologues with the same molecular weight but different isotopic composition like 16O13C16O and 16O12C17O. Second is fundamental possibility to perform calibration free absolute measurement of different isotopologues based on ab initio calculations of line intensities [1]. Third is experimental usability, field deployability and low cost of the optical instruments.
The disadvantage of the optical isotope ratio spectrometers available on the market compared to the isotope ratio mass spectrometers is still low accuracy associated not only with the capabilities of optical instruments as such, but also with the lack of high-precision measurement procedures. To improve the accuracy of the optical measurement system, the main factors affecting the measurement result should be investigated and eliminated.
In this study, we used CM-CRDS carbon isotope ratio measurement system consisted of Picarro G2131i analyzer, Picarro combustion module, Picarro Caddy Universal interface, homemade system of solenoid valves Camozzi. The calibration of the measurement system was made by combustion of certified reference materials from the International Atomic Energy Agency as recommended in [2]. The linearity of the delta scale was evaluated. Non-linearity of the delta scale leads to a bias if just one or two certified reference materials are used for calibration.
The measurement procedure of carbon isotope ratios in solid sample on CM-CRDS is as follows. A sample is broken down into elemental components in the combustion module. After the cleaning from interfering components, CO2 is diluted with nitrogen and analyzed by CRDS instrument. The similar procedure is performed with reference material. The issue is that even if the mass of sample and reference material are the same, the concentration of CO2 in the analyzed mixture is different. Mismatch of concentrations leads to bias in measured isotope ratios. The magnitude of concentration dependence is estimated in this study.
The obtained results are discussed and ways to eliminate the abovementioned issues are proposed.
[1] Polyansky, Oleg & Bielska, Katarzyna & Ghysels, Mélanie & Lodi, Lorenzo & Zobov, Nikolai & Hodges, Joseph & Tennyson, Jonathan. (2015). High-Accuracy CO2 Line Intensities Determined from Theory and Experiment. Physical Review Letters. 114. 10.1103/PhysRevLett.114.243001.
[2] Willi A. Brand et al. Assessment of international reference materials for isotope-ratio analysis (IUPAC Technical Report). Pure Appl. Chem., 2014, 86(3), Pages 425–467
How to cite: Chubchenko, I. and Konopelko, L.: Concentration dependence and scale linearity of the carbon isotope ratio measurement systems based on CRDS, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-17571, https://doi.org/10.5194/egusphere-egu2020-17571, 2020.
EGU2020-21968 | Displays | BG2.5
Determination of n(13C)/n(12C) isotope ratios by MC-ICPMS and IRMS for providing improved R(13C/12C) value of the zero-point of the VPDB isotope delta scaleDmitriy Malinovskiy, Philip Dunn, and Heidi Goenaga-Infante
Carbon isotope ratios are typically expressed as isotope delta values d(13C/12C), often shortened to d13C. These are isotope ratios expressed relative to an international measurement standard, which for more than 30 years has been the virtual carbonate Vienna Peedee Belemnite (VPDB). While carbon isotope delta values relative to VPDB can be obtained with very small uncertainties, maintenance of the VPDB scale itself is challenging as it is based upon artefacts with exactly assigned isotope delta values. Linking the VPDB isotope delta scale to the SI would alleviate some of the issues inherent to artefact-based scales and aid long-term comparability of measurement results. Such a link is provided by determination of absolute isotope ratios, i.e., R(13C/12C).
New and improved methods for SI-traceable measurements of R(13C/12C) by both gas source isotope ratio mass spectrometry (IRMS) and multicollector inductively coupled plasma mass spectrometry (MC-ICPMS) have been developed at LGC. These methods are based on the calibration approach using synthetic isotopologue mixtures. The developed methodology has been successfully applied to producing glycine reference materials, ERM-AE672a and LGC171-KT, with certified SI-traceable n(13C)/n(12C) isotope amount ratios under ISO 17025 and 17034 accreditations together with indicative d(13C/12C)VPDB values traceable to VPDB.
These new reference materials realise an absolute isotope ratio for VPDB itself R(13C/12C)VPDB through regression of the n(13C)/n(12C) against d(13C/12C)VPDB values. Examining all published values for R(13C/12C)VPDB, including our most recent results, allows a better estimation of this quantity than has previously been achievable and points the way towards linking the VPDB isotope delta scale more firmly to the SI.
How to cite: Malinovskiy, D., Dunn, P., and Goenaga-Infante, H.: Determination of n(13C)/n(12C) isotope ratios by MC-ICPMS and IRMS for providing improved R(13C/12C) value of the zero-point of the VPDB isotope delta scale, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21968, https://doi.org/10.5194/egusphere-egu2020-21968, 2020.
Carbon isotope ratios are typically expressed as isotope delta values d(13C/12C), often shortened to d13C. These are isotope ratios expressed relative to an international measurement standard, which for more than 30 years has been the virtual carbonate Vienna Peedee Belemnite (VPDB). While carbon isotope delta values relative to VPDB can be obtained with very small uncertainties, maintenance of the VPDB scale itself is challenging as it is based upon artefacts with exactly assigned isotope delta values. Linking the VPDB isotope delta scale to the SI would alleviate some of the issues inherent to artefact-based scales and aid long-term comparability of measurement results. Such a link is provided by determination of absolute isotope ratios, i.e., R(13C/12C).
New and improved methods for SI-traceable measurements of R(13C/12C) by both gas source isotope ratio mass spectrometry (IRMS) and multicollector inductively coupled plasma mass spectrometry (MC-ICPMS) have been developed at LGC. These methods are based on the calibration approach using synthetic isotopologue mixtures. The developed methodology has been successfully applied to producing glycine reference materials, ERM-AE672a and LGC171-KT, with certified SI-traceable n(13C)/n(12C) isotope amount ratios under ISO 17025 and 17034 accreditations together with indicative d(13C/12C)VPDB values traceable to VPDB.
These new reference materials realise an absolute isotope ratio for VPDB itself R(13C/12C)VPDB through regression of the n(13C)/n(12C) against d(13C/12C)VPDB values. Examining all published values for R(13C/12C)VPDB, including our most recent results, allows a better estimation of this quantity than has previously been achievable and points the way towards linking the VPDB isotope delta scale more firmly to the SI.
How to cite: Malinovskiy, D., Dunn, P., and Goenaga-Infante, H.: Determination of n(13C)/n(12C) isotope ratios by MC-ICPMS and IRMS for providing improved R(13C/12C) value of the zero-point of the VPDB isotope delta scale, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21968, https://doi.org/10.5194/egusphere-egu2020-21968, 2020.
EGU2020-9055 | Displays | BG2.5
How good are my stable isotope data? Implications on using an in-house Quality Control system for stable isotope measurementsDavid X. Soto, Sergey Assonov, Helen Grant, M. Glória Pereira, and Ales Fajgelj
Stable isotopes are widely used with applications in forensics, ecology, biogeochemistry, atmospheric sciences, and hydrology. Isotope data are frequently compared and combined, which requires data of high quality. This brings to the attention how comparable the data is and the need for an internal Quality System in research and service laboratories to support data quality. Since the amount of isotope data produced in the recent years has increased considerably, a plea for high-quality isotope data is required. Estimations of data quality including uncertainty calculations may be complicated by various and not well-controlled factors, including sample matrix effects, incomplete reactions and byproducts formed etc. The use of data scatter (e.g. Standard deviation of certified reference materials and in-house working standards) as a measure of uncertainty is obviously insufficient. Instead, one may consider other or combined data quality indexes. The use of a simplified uncertainty estimation together with z-scores calculation enhances the assessment of lab performance and quality and increases the likelihood to accept the target performance chosen by any isotope laboratory. However, uncertainties associated to unknown samples also reduces the probability of obtaining significant differences between sample groups, which the purpose of the analysis could not fit. Here we discuss the criteria to revise limits of QC materials (e.g. lab standards) in an objective manner including the removal of outliers. Warning and action limits depend on the stable isotopic composition of the material (enriched vs. natural abundance), the homogeneity of the material, and the statistical approach utilized. We will report data of 1-2 years of QC tools of a soil standard material obtained at the laboratory in UKCEH-Lancaster and we will discuss how to deal with internal QC system including outlier removal, sample preparation issues, etc. Implementation of these or similar QC protocols are of great relevance for a well-based decision making when using isotope results.
How to cite: Soto, D. X., Assonov, S., Grant, H., Pereira, M. G., and Fajgelj, A.: How good are my stable isotope data? Implications on using an in-house Quality Control system for stable isotope measurements, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9055, https://doi.org/10.5194/egusphere-egu2020-9055, 2020.
Stable isotopes are widely used with applications in forensics, ecology, biogeochemistry, atmospheric sciences, and hydrology. Isotope data are frequently compared and combined, which requires data of high quality. This brings to the attention how comparable the data is and the need for an internal Quality System in research and service laboratories to support data quality. Since the amount of isotope data produced in the recent years has increased considerably, a plea for high-quality isotope data is required. Estimations of data quality including uncertainty calculations may be complicated by various and not well-controlled factors, including sample matrix effects, incomplete reactions and byproducts formed etc. The use of data scatter (e.g. Standard deviation of certified reference materials and in-house working standards) as a measure of uncertainty is obviously insufficient. Instead, one may consider other or combined data quality indexes. The use of a simplified uncertainty estimation together with z-scores calculation enhances the assessment of lab performance and quality and increases the likelihood to accept the target performance chosen by any isotope laboratory. However, uncertainties associated to unknown samples also reduces the probability of obtaining significant differences between sample groups, which the purpose of the analysis could not fit. Here we discuss the criteria to revise limits of QC materials (e.g. lab standards) in an objective manner including the removal of outliers. Warning and action limits depend on the stable isotopic composition of the material (enriched vs. natural abundance), the homogeneity of the material, and the statistical approach utilized. We will report data of 1-2 years of QC tools of a soil standard material obtained at the laboratory in UKCEH-Lancaster and we will discuss how to deal with internal QC system including outlier removal, sample preparation issues, etc. Implementation of these or similar QC protocols are of great relevance for a well-based decision making when using isotope results.
How to cite: Soto, D. X., Assonov, S., Grant, H., Pereira, M. G., and Fajgelj, A.: How good are my stable isotope data? Implications on using an in-house Quality Control system for stable isotope measurements, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9055, https://doi.org/10.5194/egusphere-egu2020-9055, 2020.
EGU2020-11525 | Displays | BG2.5
The IAEA carbonate reference materials aimed at the VPDB scale realization with low uncertainty.Sergey Assonov, Ales Fajgelj, and Manfred Gröning
The stable isotope scales of the light elements (H, C, O, S) are artefact-based (related to a primary reference material) and their practical realisation is based on several refence materials (RMs) traceable to the primary RM on a respective delta-scale. NBS19 carbonate, the primary RM for the VPDB scale introduced in 1987, exhausted in 2012, and its replacement was not available for several years. In 2016, IAEA-603 carbonate (replacement for NBS19) was released as the new primary RM having been carefully calibrated versus the remaining NBS19. The IAEA-603 uncertainty in δ13C and δ18O for the first batch (5200 ampoules produced) is ±0.010 ‰ and ±0.040 ‰ respectively (1-sigma level); the homogeneity assessment is the major component of total uncertainty which is limited by the best mass-spectrometer performance and the method (carbonate-acid reaction) reproducibility.
In 2015, monitoring of LSVEC (formerly the second scale-anchor on the VPDB scale) detected variable drifts in its δ13C value and therefore the use of LSVEC as RM for δ13C was discontinued. It was recognised that a replacement for LSVEC is needed for normalization of the δ13C measurement results, also to address the strict uncertainty requirements for δ13C observations in atmospheric CO2 and methane (≤0.01 ‰ and ≤0.02 ‰ correspondingly). Similar to IAEA-603, any new RMs will address the technical requirements for RMs laid out by ISO Guide 35: 2017 including (i) RM batch production and batch characterisation; (ii) homogeneity and stability assessment of the final product (RMs sealed off in 0.5 g ampoules) and (iii) value and uncertainty assignment based on the metrological traceability. Three new carbonate RMs are in preparation at the IAEA; the uncertainty in δ13C for all three materials due to RM’ homogeneity is already confirmed at ≤0.01 ‰ (on 10 mg aliquots), which is at the limit of the best modern mass-spectrometers. The isotopic characterisation of these new carbonate RMs is in progress; they should be released in 2020.
Together with IAEA-603, the three new RMs will provide a reliable realization of the VPDB scale with the lowest possible uncertainty. With these RMs users can (i) select RMs in a suitable δ13C range, (ii) detect any potential drift of RMs including the behaviour of daily lab-standards and (iii) detect any potential problem in applying the 17O correction at end-user laboratories. In conclusion, these new reference materials will allow laboratories worldwide to establish metrological comparability for decades.
How to cite: Assonov, S., Fajgelj, A., and Gröning, M.: The IAEA carbonate reference materials aimed at the VPDB scale realization with low uncertainty. , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11525, https://doi.org/10.5194/egusphere-egu2020-11525, 2020.
The stable isotope scales of the light elements (H, C, O, S) are artefact-based (related to a primary reference material) and their practical realisation is based on several refence materials (RMs) traceable to the primary RM on a respective delta-scale. NBS19 carbonate, the primary RM for the VPDB scale introduced in 1987, exhausted in 2012, and its replacement was not available for several years. In 2016, IAEA-603 carbonate (replacement for NBS19) was released as the new primary RM having been carefully calibrated versus the remaining NBS19. The IAEA-603 uncertainty in δ13C and δ18O for the first batch (5200 ampoules produced) is ±0.010 ‰ and ±0.040 ‰ respectively (1-sigma level); the homogeneity assessment is the major component of total uncertainty which is limited by the best mass-spectrometer performance and the method (carbonate-acid reaction) reproducibility.
In 2015, monitoring of LSVEC (formerly the second scale-anchor on the VPDB scale) detected variable drifts in its δ13C value and therefore the use of LSVEC as RM for δ13C was discontinued. It was recognised that a replacement for LSVEC is needed for normalization of the δ13C measurement results, also to address the strict uncertainty requirements for δ13C observations in atmospheric CO2 and methane (≤0.01 ‰ and ≤0.02 ‰ correspondingly). Similar to IAEA-603, any new RMs will address the technical requirements for RMs laid out by ISO Guide 35: 2017 including (i) RM batch production and batch characterisation; (ii) homogeneity and stability assessment of the final product (RMs sealed off in 0.5 g ampoules) and (iii) value and uncertainty assignment based on the metrological traceability. Three new carbonate RMs are in preparation at the IAEA; the uncertainty in δ13C for all three materials due to RM’ homogeneity is already confirmed at ≤0.01 ‰ (on 10 mg aliquots), which is at the limit of the best modern mass-spectrometers. The isotopic characterisation of these new carbonate RMs is in progress; they should be released in 2020.
Together with IAEA-603, the three new RMs will provide a reliable realization of the VPDB scale with the lowest possible uncertainty. With these RMs users can (i) select RMs in a suitable δ13C range, (ii) detect any potential drift of RMs including the behaviour of daily lab-standards and (iii) detect any potential problem in applying the 17O correction at end-user laboratories. In conclusion, these new reference materials will allow laboratories worldwide to establish metrological comparability for decades.
How to cite: Assonov, S., Fajgelj, A., and Gröning, M.: The IAEA carbonate reference materials aimed at the VPDB scale realization with low uncertainty. , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11525, https://doi.org/10.5194/egusphere-egu2020-11525, 2020.
EGU2020-22611 | Displays | BG2.5
Application of lead isotope ratios for pollution source investigation in the marine environmentEmiliya Vassileva, Anna Maria Orani, and Sergey Assonov
Lead is a non-essential toxic element that at high levels of human exposure causes damage to many organs of the human body. This element naturally occurs in the Earth crust, but its biogeochemical cycle has been altered by anthropogenic activities, which have introduced high amount of this element from different sources. Among inorganic contaminants, Pb is perhaps the most studied, but the determination of its total concentration only is not sufficient for a proper evaluation of contamination sources. Discrimination of anthropogenic and geogenic lead sources requires both precise and accurate isotope ratio determination as well as high versatility due to the complexity of environmental matrices, such as sediments, biota and seawater. This element has a partially radiogenic isotopic composition with 208Pb, 206Pb and 207Pb originating from the radioactive decay of 238U, 235U and 232Th respectively and 204Pb representing the only natural stable isotope. This characteristic isotopic composition represents a powerful analytical tool as it allows to trace the sources, fate and effects of possible Pb contamination. The most common way to express the Pb isotopic composition is using the ratio 206Pb/207Pb, because of the easy interference-free determination and isotopes’ abundance. The determination of 204Pb by ICP-MS is quite challenging as this is also the least abundant among Pb isotopes (about 1.4%) and it is also affected by isobaric interference from 204Hg. The latter derives from both sample matrices and from plasma/sweep gas supplies and it represents a big analytical challenge, especially for marine biota samples, where the amount of Hg can be up to 100 times higher than Pb.
In this work we present the development and the application of analytical methodology for the accurate and precise determination of Pb isotope ratios by HR-ICP-MS in different marine environmental matrices (sediments, seawater and biota). Analytical procedures are involving a separation of Pb from the sample matrix and mercury, present in the sample. For seawater samples, the use of the SeaFAST automated system allowed simultaneous matrix separation and analyte pre-concentration before ICP-MS analysis. A comparison of results for lead isotope ratios obtained with MC-ICP-MS and HR ICP-MS in the same samples, in all cases, showed very good agreement . The total uncertainty associated to each result was estimated and all major contributions to the combined uncertainty of the obtained results were identified. As all such studies involve companions of different datasets, the uncertainty estimation is critical to ensure correct companions. The developed methodology was applied to different marine samples, namely sediments from Caribbean, Baltic and Namibian coasts, biota samples from French Polynesia, seawater samples from Mediterranean and Arctic seas.
How to cite: Vassileva, E., Orani, A. M., and Assonov, S.: Application of lead isotope ratios for pollution source investigation in the marine environment, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22611, https://doi.org/10.5194/egusphere-egu2020-22611, 2020.
Lead is a non-essential toxic element that at high levels of human exposure causes damage to many organs of the human body. This element naturally occurs in the Earth crust, but its biogeochemical cycle has been altered by anthropogenic activities, which have introduced high amount of this element from different sources. Among inorganic contaminants, Pb is perhaps the most studied, but the determination of its total concentration only is not sufficient for a proper evaluation of contamination sources. Discrimination of anthropogenic and geogenic lead sources requires both precise and accurate isotope ratio determination as well as high versatility due to the complexity of environmental matrices, such as sediments, biota and seawater. This element has a partially radiogenic isotopic composition with 208Pb, 206Pb and 207Pb originating from the radioactive decay of 238U, 235U and 232Th respectively and 204Pb representing the only natural stable isotope. This characteristic isotopic composition represents a powerful analytical tool as it allows to trace the sources, fate and effects of possible Pb contamination. The most common way to express the Pb isotopic composition is using the ratio 206Pb/207Pb, because of the easy interference-free determination and isotopes’ abundance. The determination of 204Pb by ICP-MS is quite challenging as this is also the least abundant among Pb isotopes (about 1.4%) and it is also affected by isobaric interference from 204Hg. The latter derives from both sample matrices and from plasma/sweep gas supplies and it represents a big analytical challenge, especially for marine biota samples, where the amount of Hg can be up to 100 times higher than Pb.
In this work we present the development and the application of analytical methodology for the accurate and precise determination of Pb isotope ratios by HR-ICP-MS in different marine environmental matrices (sediments, seawater and biota). Analytical procedures are involving a separation of Pb from the sample matrix and mercury, present in the sample. For seawater samples, the use of the SeaFAST automated system allowed simultaneous matrix separation and analyte pre-concentration before ICP-MS analysis. A comparison of results for lead isotope ratios obtained with MC-ICP-MS and HR ICP-MS in the same samples, in all cases, showed very good agreement . The total uncertainty associated to each result was estimated and all major contributions to the combined uncertainty of the obtained results were identified. As all such studies involve companions of different datasets, the uncertainty estimation is critical to ensure correct companions. The developed methodology was applied to different marine samples, namely sediments from Caribbean, Baltic and Namibian coasts, biota samples from French Polynesia, seawater samples from Mediterranean and Arctic seas.
How to cite: Vassileva, E., Orani, A. M., and Assonov, S.: Application of lead isotope ratios for pollution source investigation in the marine environment, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22611, https://doi.org/10.5194/egusphere-egu2020-22611, 2020.
EGU2020-22474 | Displays | BG2.5
A novel method for stable isotope measurement of gaseous elemental mercurySatoshi Irei
Here, we introduce a new methodology developed for highly precise stable mercury isotope ratio (δHg) analysis: the sampling method collecting sufficient amount of gaseous elemental mercury (GEM) from air within 24 h or less and the extraction method effectively converting the collected GEM to Hg2+ in less than 10 mL of acidified solution.
A big gold-amalgam trap (BAuT), which has approximately 11 times larger inner diameter of the tube and more gold-amalgam granular than a conventional gold-amalgam trap, was designed for quick and effective sampling of GEM in a short time period. A 24-h sampling demonstrated that the collection efficiency was higher than 99.9% under the flow rate of 55 LPM. Prior to the extraction the collected GEM by BAuT was pre-concentrated to a conventional gold-amalgam trap to reduce the dead volume.
The GEM pre-concentrated was transferred into a four side sealed 2L Tedler bag with a PTFE stopcock by heating the gold-amalgam trap to 600 ºC for ~ 4 min under the 0.5 LPM flow of Hg-free air. Prior to this transfer 5mL of 0.5~40% (v/v) reversed aqua resia or RAR (hydrochloric acid: nitric acid = 1:2) was pre-introduced into the bag. The bag with GEM and RAR was left for the conversion of GEM into the stable state in the solution (i.e., Hg2+). The solution recovered was then analyzed by multi collector-ICP-MS for the Hg concentration and δHg.
Results with a standard reference material showed that the recovery from the test with 10% RAR and the extraction duration of 8 days was the highest, 97%, with the 5% of recovery for the residual GEM in the gas-phase. The δHg analysis for five isotope ratios exhibited that the accuracy was between 0.01 and 0.3 ‰. Results from the analytical tests of ambient GEM using this methodology will be discussed.
How to cite: Irei, S.: A novel method for stable isotope measurement of gaseous elemental mercury, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22474, https://doi.org/10.5194/egusphere-egu2020-22474, 2020.
Here, we introduce a new methodology developed for highly precise stable mercury isotope ratio (δHg) analysis: the sampling method collecting sufficient amount of gaseous elemental mercury (GEM) from air within 24 h or less and the extraction method effectively converting the collected GEM to Hg2+ in less than 10 mL of acidified solution.
A big gold-amalgam trap (BAuT), which has approximately 11 times larger inner diameter of the tube and more gold-amalgam granular than a conventional gold-amalgam trap, was designed for quick and effective sampling of GEM in a short time period. A 24-h sampling demonstrated that the collection efficiency was higher than 99.9% under the flow rate of 55 LPM. Prior to the extraction the collected GEM by BAuT was pre-concentrated to a conventional gold-amalgam trap to reduce the dead volume.
The GEM pre-concentrated was transferred into a four side sealed 2L Tedler bag with a PTFE stopcock by heating the gold-amalgam trap to 600 ºC for ~ 4 min under the 0.5 LPM flow of Hg-free air. Prior to this transfer 5mL of 0.5~40% (v/v) reversed aqua resia or RAR (hydrochloric acid: nitric acid = 1:2) was pre-introduced into the bag. The bag with GEM and RAR was left for the conversion of GEM into the stable state in the solution (i.e., Hg2+). The solution recovered was then analyzed by multi collector-ICP-MS for the Hg concentration and δHg.
Results with a standard reference material showed that the recovery from the test with 10% RAR and the extraction duration of 8 days was the highest, 97%, with the 5% of recovery for the residual GEM in the gas-phase. The δHg analysis for five isotope ratios exhibited that the accuracy was between 0.01 and 0.3 ‰. Results from the analytical tests of ambient GEM using this methodology will be discussed.
How to cite: Irei, S.: A novel method for stable isotope measurement of gaseous elemental mercury, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22474, https://doi.org/10.5194/egusphere-egu2020-22474, 2020.
EGU2020-4248 | Displays | BG2.5
Determination of the Ni isotope fractionation in microfossils embedded in the aragonite phaseMarek Tulej, Anna Neubeck, Rustam Lukmanov, Valentine Grimaudo, Andreas Riedo, Alena Cedeño López, Coenraad, Pieter de Koning, Niels, Frank, Willem Ligterink, Magnus Ivarsson, and Peter Wurz
Stable nickel isotopes are known to fractionate by biological processes and their measurements can be important biomarker. In searches for ancient fossilised materials such as microbial cells, the Ni isotope fractionation record can be preserved after death and fossilization of microstructures. Typically, transition metal isotopes in microfossils are difficult to measure accurately because of their low concentration in the fossil. Furthermore, microsized fossil structures are difficult to isolate from the host phase. Thus, the measurement of their chemical composition can be conducted only by a few analytical methods. We have applied femtosecond-laser ablation/ionisation time-of-flight mass spectrometry (LIMS) to measure chemical composition of the fossilised material embedded in the aragonite phase and accurately derive the Ni isotopic fractionation pattern. High resolution depth profiling method was applied to isolate fossilised material composition from the host phase. The mass peak intensity correlation and peak integration methods were subsequently applied to derive isotope concentrations. The accuracies and precision in permill level or better of the isotope values were achieved. For comparison the studies of Ni isotopes were conducted on inorganic samples. The instrument used in the studies is a miniature mass analyser developed for space research holding promisses that differentiation between abiotic and biogenic microstructures in rocks can be studied also in situ on the surfaces of Solar System bodies.
References
1. U. Rohner et al., Meas. Sci. Technol. 14 (2003) 2159–2164
2. A. Riedo et al., JAAS, 28:1256–1269, 2013
3. A. Neubeck et al., Int. J. Astrobiology, 15, 133-146, 2016
4. M. Tulej et al., Astrobiology, 2015, DOI: 10.1089/ast.2015.1304;JAAS,33(8):1292-1303, 2018
5. S. Meyer et al., J. Mass Spectrom. 2017, DOI: org/10.1002/jms.3964
6. R. Wisendanger et al., J. Chemometrics, 2018, DOI: 10.1002/cem.3081
7. V. Grimaudo et al., Anal. Chem., 2018, DOI: 10.1021/acs.analchem.7b05313
How to cite: Tulej, M., Neubeck, A., Lukmanov, R., Grimaudo, V., Riedo, A., Cedeño López, A., de Koning, C. P., Ligterink, N. F. W., Ivarsson, M., and Wurz, P.: Determination of the Ni isotope fractionation in microfossils embedded in the aragonite phase, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4248, https://doi.org/10.5194/egusphere-egu2020-4248, 2020.
Stable nickel isotopes are known to fractionate by biological processes and their measurements can be important biomarker. In searches for ancient fossilised materials such as microbial cells, the Ni isotope fractionation record can be preserved after death and fossilization of microstructures. Typically, transition metal isotopes in microfossils are difficult to measure accurately because of their low concentration in the fossil. Furthermore, microsized fossil structures are difficult to isolate from the host phase. Thus, the measurement of their chemical composition can be conducted only by a few analytical methods. We have applied femtosecond-laser ablation/ionisation time-of-flight mass spectrometry (LIMS) to measure chemical composition of the fossilised material embedded in the aragonite phase and accurately derive the Ni isotopic fractionation pattern. High resolution depth profiling method was applied to isolate fossilised material composition from the host phase. The mass peak intensity correlation and peak integration methods were subsequently applied to derive isotope concentrations. The accuracies and precision in permill level or better of the isotope values were achieved. For comparison the studies of Ni isotopes were conducted on inorganic samples. The instrument used in the studies is a miniature mass analyser developed for space research holding promisses that differentiation between abiotic and biogenic microstructures in rocks can be studied also in situ on the surfaces of Solar System bodies.
References
1. U. Rohner et al., Meas. Sci. Technol. 14 (2003) 2159–2164
2. A. Riedo et al., JAAS, 28:1256–1269, 2013
3. A. Neubeck et al., Int. J. Astrobiology, 15, 133-146, 2016
4. M. Tulej et al., Astrobiology, 2015, DOI: 10.1089/ast.2015.1304;JAAS,33(8):1292-1303, 2018
5. S. Meyer et al., J. Mass Spectrom. 2017, DOI: org/10.1002/jms.3964
6. R. Wisendanger et al., J. Chemometrics, 2018, DOI: 10.1002/cem.3081
7. V. Grimaudo et al., Anal. Chem., 2018, DOI: 10.1021/acs.analchem.7b05313
How to cite: Tulej, M., Neubeck, A., Lukmanov, R., Grimaudo, V., Riedo, A., Cedeño López, A., de Koning, C. P., Ligterink, N. F. W., Ivarsson, M., and Wurz, P.: Determination of the Ni isotope fractionation in microfossils embedded in the aragonite phase, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4248, https://doi.org/10.5194/egusphere-egu2020-4248, 2020.
EGU2020-21941 | Displays | BG2.5
Determination of the Isotopic Composition of Iridium Using Multicollector-ICPMSZuhao Zhu
Like many other elements, iridium is lacking a calibrated, SI traceable isotope ratio measurement. In this study, we
have undertaken absolute isotope amount ratio measurements of iridium by multicollector inductively coupled plasma mass
spectrometry (MC-ICPMS) using a state-of-the-art regression model to correct for the instrumental fractionation (mass bias) of
isotope ratios using both NIST SRM 997 isotopic thallium and NIST SRM 989 isotopic rhenium as primary calibrators. The
optimized regression mass bias correction model is based on incrementally increasing plasma power and short (10−30 min)
measurement sessions. This experimental design allows fast implementation of the regression method which would normally
require hours-long measurement sessions when executed under constant plasma power. Measurements of four commercial
iridium materials provide a calibrated iridium isotope ratio R193/191 = 1.6866(6)k=1 which corresponds to isotopic abundance x191
= 0.372 21(8)k=1 and an atomic weight of Ar(Ir) = 192.217 63(17)k=1. In addition, we present data on a new Certified Reference
Material from NRC Canada IRIS-1 which fulfills the requirements of a delta zero reference for iridium isotope ratio
measurements.
How to cite: Zhu, Z.: Determination of the Isotopic Composition of Iridium Using Multicollector-ICPMS, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21941, https://doi.org/10.5194/egusphere-egu2020-21941, 2020.
Like many other elements, iridium is lacking a calibrated, SI traceable isotope ratio measurement. In this study, we
have undertaken absolute isotope amount ratio measurements of iridium by multicollector inductively coupled plasma mass
spectrometry (MC-ICPMS) using a state-of-the-art regression model to correct for the instrumental fractionation (mass bias) of
isotope ratios using both NIST SRM 997 isotopic thallium and NIST SRM 989 isotopic rhenium as primary calibrators. The
optimized regression mass bias correction model is based on incrementally increasing plasma power and short (10−30 min)
measurement sessions. This experimental design allows fast implementation of the regression method which would normally
require hours-long measurement sessions when executed under constant plasma power. Measurements of four commercial
iridium materials provide a calibrated iridium isotope ratio R193/191 = 1.6866(6)k=1 which corresponds to isotopic abundance x191
= 0.372 21(8)k=1 and an atomic weight of Ar(Ir) = 192.217 63(17)k=1. In addition, we present data on a new Certified Reference
Material from NRC Canada IRIS-1 which fulfills the requirements of a delta zero reference for iridium isotope ratio
measurements.
How to cite: Zhu, Z.: Determination of the Isotopic Composition of Iridium Using Multicollector-ICPMS, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21941, https://doi.org/10.5194/egusphere-egu2020-21941, 2020.
BG2.7 – Remote Sensing applications in the Biogeosciences
EGU2020-54 | Displays | BG2.7
An empirical cross sensor model for high-resolution multispectral imageryManivasagam Vellalapalayam Subramanian, Gregoriy Kaplan, and Offer Rozenstein
EGU2020-288 | Displays | BG2.7 | Highlight
Understanding wetland dynamics using geostatistics of multi-temporal Earth Observation datasetsManudeo Narayan Singh and Rajiv Sinha
Wetlands are important but fragile ecosystems. Half of the world’s wetlands are already lost and most of the remaining ones are in a degraded state. Such wetlands warrant immediate management and restoration works. Further, with changing land-use patterns and climate, it is essential to monitor the dynamics of such wetlands, which is in turn driven by hydrology, vegetation pattern, and geomorphology. All biogeochemical processes in the wetlands are influenced by hydropattern and water level. Understanding vegetation-hydrology nexus is an important challenge in wetland management and restoration activities. In addition, the spatial characterization of the fragmentation and shrinkage is essential to manage the wetlands.
A geostatistics-based assessment of a large floodplain wetland namely the Kaabar Tal in eastern India has been performed using multi-temporal Landsat datasets in a GIS (Geographical Information System) framework by applying linear regression method and Mann-Kendall Trend Tests. With an area of 51 km2 and a total catchment size of 250 km2, the Kaabar Tal is the largest wetland of the north Bihar in the East Ganga Plains of India. A historical assessment of the wetland spanning over four decades (1976-2016) has been performed by formulating a novel framework which encompasses the following six indicators: (a) pixel-wise net trend assessment of wetness and vegetation, (b) seasonal hydropattern, (c) average drying rates, (d) seasonal and annual patch dynamics (fragmentation assessment), (e) annual shoreline shrinkage rates, and (f) multi-temporal geomorphic mapping. To understand the influence of these indicators in different parts of the wetland, a sectorial approach has been followed by dividing the wetland in nine zones, and each zone was ranked from least to most degraded based on the six indicators. A linear combination of these ranks was used to decide the overall degradation rank of the zones. The different zones of Kaabar Tal were ranked in terms of increasing order of degradation. The western zone W, the most degraded zone, has suffered the highest quantum of encroachments coupled with the highest rates of shoreline shrinkage. The central zone C ranked least on the degradation scale; however, it is still degrading, and the wetness trend is ‘very severely decreasing’ while the vegetation (or eutrophication) trend is ‘severely increasing.’
The framework developed in the current work is based on the freely available satellite datasets, easily implementable remote sensing and GIS approaches, and well-known geostatistical methods. Further, the method can be adapted to analyze the hydrogeomorphic dynamics and degradation scenarios of any wetland systems, irrespective of their geographical and climatic settings.
How to cite: Singh, M. N. and Sinha, R.: Understanding wetland dynamics using geostatistics of multi-temporal Earth Observation datasets, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-288, https://doi.org/10.5194/egusphere-egu2020-288, 2020.
Wetlands are important but fragile ecosystems. Half of the world’s wetlands are already lost and most of the remaining ones are in a degraded state. Such wetlands warrant immediate management and restoration works. Further, with changing land-use patterns and climate, it is essential to monitor the dynamics of such wetlands, which is in turn driven by hydrology, vegetation pattern, and geomorphology. All biogeochemical processes in the wetlands are influenced by hydropattern and water level. Understanding vegetation-hydrology nexus is an important challenge in wetland management and restoration activities. In addition, the spatial characterization of the fragmentation and shrinkage is essential to manage the wetlands.
A geostatistics-based assessment of a large floodplain wetland namely the Kaabar Tal in eastern India has been performed using multi-temporal Landsat datasets in a GIS (Geographical Information System) framework by applying linear regression method and Mann-Kendall Trend Tests. With an area of 51 km2 and a total catchment size of 250 km2, the Kaabar Tal is the largest wetland of the north Bihar in the East Ganga Plains of India. A historical assessment of the wetland spanning over four decades (1976-2016) has been performed by formulating a novel framework which encompasses the following six indicators: (a) pixel-wise net trend assessment of wetness and vegetation, (b) seasonal hydropattern, (c) average drying rates, (d) seasonal and annual patch dynamics (fragmentation assessment), (e) annual shoreline shrinkage rates, and (f) multi-temporal geomorphic mapping. To understand the influence of these indicators in different parts of the wetland, a sectorial approach has been followed by dividing the wetland in nine zones, and each zone was ranked from least to most degraded based on the six indicators. A linear combination of these ranks was used to decide the overall degradation rank of the zones. The different zones of Kaabar Tal were ranked in terms of increasing order of degradation. The western zone W, the most degraded zone, has suffered the highest quantum of encroachments coupled with the highest rates of shoreline shrinkage. The central zone C ranked least on the degradation scale; however, it is still degrading, and the wetness trend is ‘very severely decreasing’ while the vegetation (or eutrophication) trend is ‘severely increasing.’
The framework developed in the current work is based on the freely available satellite datasets, easily implementable remote sensing and GIS approaches, and well-known geostatistical methods. Further, the method can be adapted to analyze the hydrogeomorphic dynamics and degradation scenarios of any wetland systems, irrespective of their geographical and climatic settings.
How to cite: Singh, M. N. and Sinha, R.: Understanding wetland dynamics using geostatistics of multi-temporal Earth Observation datasets, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-288, https://doi.org/10.5194/egusphere-egu2020-288, 2020.
EGU2020-401 | Displays | BG2.7
Spectroscopic retrieval of above-ground crop nitrogen content with a hybrid machine learning regression methodKatja Berger, Gustau Camps-Valls, Jochem Verrelst, Jean-Baptiste Féret, Matthias Wocher, and Tobias Hank
Proteins are the major nitrogen-containing biochemical constituents of plants. Since nitrogen (N) cannot be measured directly using remote sensing data, leaf protein content constitutes a valid proxy for this main limiting plant nutrient. In the past, mainly linear parametric algorithms, such as vegetation indices, have been employed to retrieve this non-state variable from optical reflectance data. Moreover, most studies solely relied on the relationship of chlorophyll content with nitrogen. In contrast, our study presents a hybrid model inversion scheme of a physically-based approach via protein retrieval combined with advanced machine learning regression. The leaf optical properties PROSPECT-PRO model, including the newly calibrated specific absorption coefficients (SAC) of proteins, was coupled with the canopy reflectance model 4SAIL to PROSAIL-PRO. A generic synthetic database of model input parameters with corresponding reflectance was simulated and used for training two different machine learning regression methods: a standard homoscedastic Gaussian Process (GP) and a variational heteroscedastic GP regression that accounts for signal-to-noise correlations. Both GP methods have the interesting feature of providing confidence intervals for the estimates. As part of multiple field campaigns, carried out in the scientific preparation framework of the Environmental Mapping and Analysis Program (EnMAP), spectra of maize and winter wheat were acquired to simulate EnMAP data and plant-organ-specific nitrogen measurements were destructively collected for validation. Both GP models yielded excellent performance in learning the nonlinear relationship between specific protein absorption bands and area-based above-ground N. They also performed similar or even outperformed other nonlinear nonparametric approaches. Physical validation of the estimates against in situ nitrogen measurements from leaves plus stalks yielded a root mean square error (RMSE) of 2.5 g/m². The variational heteroscedastic GP provided a more differentiated pattern of uncertainty with tighter confidence intervals within low-value regimes compared to the standard GP. The inclusion of fruit nitrogen content for validation deteriorated the results of all models, which can be explained by the inability of radiation in the optical domain to penetrate the thick tissues of maize cobs and wheat ears. Following some further validation exercises, we aim to implement GP-based algorithms for global agricultural monitoring of above-ground N derived from future satellite imaging spectroscopy data.
How to cite: Berger, K., Camps-Valls, G., Verrelst, J., Féret, J.-B., Wocher, M., and Hank, T.: Spectroscopic retrieval of above-ground crop nitrogen content with a hybrid machine learning regression method, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-401, https://doi.org/10.5194/egusphere-egu2020-401, 2020.
Proteins are the major nitrogen-containing biochemical constituents of plants. Since nitrogen (N) cannot be measured directly using remote sensing data, leaf protein content constitutes a valid proxy for this main limiting plant nutrient. In the past, mainly linear parametric algorithms, such as vegetation indices, have been employed to retrieve this non-state variable from optical reflectance data. Moreover, most studies solely relied on the relationship of chlorophyll content with nitrogen. In contrast, our study presents a hybrid model inversion scheme of a physically-based approach via protein retrieval combined with advanced machine learning regression. The leaf optical properties PROSPECT-PRO model, including the newly calibrated specific absorption coefficients (SAC) of proteins, was coupled with the canopy reflectance model 4SAIL to PROSAIL-PRO. A generic synthetic database of model input parameters with corresponding reflectance was simulated and used for training two different machine learning regression methods: a standard homoscedastic Gaussian Process (GP) and a variational heteroscedastic GP regression that accounts for signal-to-noise correlations. Both GP methods have the interesting feature of providing confidence intervals for the estimates. As part of multiple field campaigns, carried out in the scientific preparation framework of the Environmental Mapping and Analysis Program (EnMAP), spectra of maize and winter wheat were acquired to simulate EnMAP data and plant-organ-specific nitrogen measurements were destructively collected for validation. Both GP models yielded excellent performance in learning the nonlinear relationship between specific protein absorption bands and area-based above-ground N. They also performed similar or even outperformed other nonlinear nonparametric approaches. Physical validation of the estimates against in situ nitrogen measurements from leaves plus stalks yielded a root mean square error (RMSE) of 2.5 g/m². The variational heteroscedastic GP provided a more differentiated pattern of uncertainty with tighter confidence intervals within low-value regimes compared to the standard GP. The inclusion of fruit nitrogen content for validation deteriorated the results of all models, which can be explained by the inability of radiation in the optical domain to penetrate the thick tissues of maize cobs and wheat ears. Following some further validation exercises, we aim to implement GP-based algorithms for global agricultural monitoring of above-ground N derived from future satellite imaging spectroscopy data.
How to cite: Berger, K., Camps-Valls, G., Verrelst, J., Féret, J.-B., Wocher, M., and Hank, T.: Spectroscopic retrieval of above-ground crop nitrogen content with a hybrid machine learning regression method, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-401, https://doi.org/10.5194/egusphere-egu2020-401, 2020.
EGU2020-4147 | Displays | BG2.7
Evaluation and Refinement of the Beer-Lambert Extinction Law in the Discontinuous Vegetation CanopyKai Yan, Yiman Zhang, Xu Xu, Jiabin Pu, and Zhao Liu
The classical Beer-Lambert (BL) law of exponential decay in direct transmission is widely used for modeling the photon propagation in optical media and has been employed for retrieving vegetation structure parameters (e.g. leaf area index, LAI). However, BL law assumes that these absorbing obstacles are distributed in the space independently, which is the main reason of model-observation-inconsistency and arises many studies of so-called sub- and super-exponential extinction for spatially correlated media. Discontinuous vegetation canopy is the typical case of the extinction field with spatial correlations. Because of many practical difficulties, the uncertainty of the BL law used in vegetation canopy still lacks quantitive assessment. In this paper, we carry out this task by utilizing a ray-tracing-based 3-Dimensional radiative transfer model (3D RT) to simulate the photo propagation process in real vegetation canopy scenes. We confirm that the classical BL law is only suitable for both horizontally and vertically homogenous canopy (e.g. dense grasses) and shows increasing discrepancy with the decrease of the fraction of vegetation cover (FVC). When canopy clumping occurs (FVC<1), absorbing obstacles (i.e. leaves) become to be spatially correlated and lead to a slower-than-exponential (sub-exponential) extinction with propagation distance, which will result in an underestimation of LAI when classic BL law is employed. To solve this problem, we propose a new 1st order scattering extinction model by modifying the classic BL law by introducing a pair-correlation-function. This attempt is based on the stochastic radiative transfer theory and shows good performance when compared with the reference from computer 3D simulation.
How to cite: Yan, K., Zhang, Y., Xu, X., Pu, J., and Liu, Z.: Evaluation and Refinement of the Beer-Lambert Extinction Law in the Discontinuous Vegetation Canopy, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4147, https://doi.org/10.5194/egusphere-egu2020-4147, 2020.
The classical Beer-Lambert (BL) law of exponential decay in direct transmission is widely used for modeling the photon propagation in optical media and has been employed for retrieving vegetation structure parameters (e.g. leaf area index, LAI). However, BL law assumes that these absorbing obstacles are distributed in the space independently, which is the main reason of model-observation-inconsistency and arises many studies of so-called sub- and super-exponential extinction for spatially correlated media. Discontinuous vegetation canopy is the typical case of the extinction field with spatial correlations. Because of many practical difficulties, the uncertainty of the BL law used in vegetation canopy still lacks quantitive assessment. In this paper, we carry out this task by utilizing a ray-tracing-based 3-Dimensional radiative transfer model (3D RT) to simulate the photo propagation process in real vegetation canopy scenes. We confirm that the classical BL law is only suitable for both horizontally and vertically homogenous canopy (e.g. dense grasses) and shows increasing discrepancy with the decrease of the fraction of vegetation cover (FVC). When canopy clumping occurs (FVC<1), absorbing obstacles (i.e. leaves) become to be spatially correlated and lead to a slower-than-exponential (sub-exponential) extinction with propagation distance, which will result in an underestimation of LAI when classic BL law is employed. To solve this problem, we propose a new 1st order scattering extinction model by modifying the classic BL law by introducing a pair-correlation-function. This attempt is based on the stochastic radiative transfer theory and shows good performance when compared with the reference from computer 3D simulation.
How to cite: Yan, K., Zhang, Y., Xu, X., Pu, J., and Liu, Z.: Evaluation and Refinement of the Beer-Lambert Extinction Law in the Discontinuous Vegetation Canopy, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4147, https://doi.org/10.5194/egusphere-egu2020-4147, 2020.
EGU2020-5421 | Displays | BG2.7
Twelve years of SIFTER Sun-Induced Fluorescence retrievals from GOME-2 as an independent constraint on photosynthesis across continents and biomesMaurits L. Kooreman, K. Folkert Boersma, Erik van Schaik, Anteneh G. Mengistu, Olaf N. E. Tuinder, Piet Stammes, Gerbrand Koren, and Wouter Peters
Solar-Induced Fluorescence (SIF) data from satellites are increasingly used as a proxy for photosynthetic activity by vegetation, and as a constraint on gross primary production. The Royal Netherlands Meteorological Institute has developed an improved retrieval algorithm called SIFTER, to retrieve mid-morning (09:30 hrs local time) SIF estimates on the global scale from GOME-2 sensors on the Metop satellite series. The product is developed within the ACSAF network of EUMETSAT and a beta version is publicly available on www.temis.nl. The SIFTER algorithm improves over a previous version by using a narrower spectral window that avoids strong oxygen absorption and is less sensitive to water vapor absorption, by constructing stable reference spectra from a 6-year period (2007-2012) of atmospheric spectra over the Sahara, and by applying a latitude-dependent zero-level adjustment that accounts for biases in the product data. With SIFTER, we generate stable, good-quality SIF retrievals also in tropical regions that are known to suffer from high noise in other SIF products. Uncertainty estimates are included for individual observations, and the product is best used for mostly clear-sky scenes, and when spectral residuals remain below a certain threshold. The strength of SIFTER in the tropical regions was exploited to quantify the 2015/2016 drought in the Amazon, related to El Niño. We found that SIF was strongly suppressed over areas with anomalously high temperatures and decreased levels of soil moisture. SIF went below its climatological range starting from the end of the 2015 dry season and returned to normal levels by February 2016. A validation study is performed to assess the SIFTER quality against independent SIF and GPP products from other platforms, including SIF from OCO-2 and GOSAT, modeled GPP from MPI-BGC and eddy covariance derived, in-situ GPP measurements. SIFTER shows strong correlations (0.70 – 0.94) in the zonal distribution for each continent and in capturing seasonal patterns of SIF and GPP over different regions across the globe (0.62-0.99) when comparing to OCO-2 SIF and GPP from MPI-BGC. At ecosystem level, SIFTER was evaluated against OCO-2 SIF and EC GPP for five flux tower sites with varying biomes and geolocations. Regions with a homogeneous vegetation distribution show a higher correlation than heterogeneous regions. Overall, the results support the use of SIFTER data to be used as an independent constraint on photosynthetic activity on global and regional scales.
How to cite: Kooreman, M. L., Boersma, K. F., van Schaik, E., Mengistu, A. G., Tuinder, O. N. E., Stammes, P., Koren, G., and Peters, W.: Twelve years of SIFTER Sun-Induced Fluorescence retrievals from GOME-2 as an independent constraint on photosynthesis across continents and biomes, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5421, https://doi.org/10.5194/egusphere-egu2020-5421, 2020.
Solar-Induced Fluorescence (SIF) data from satellites are increasingly used as a proxy for photosynthetic activity by vegetation, and as a constraint on gross primary production. The Royal Netherlands Meteorological Institute has developed an improved retrieval algorithm called SIFTER, to retrieve mid-morning (09:30 hrs local time) SIF estimates on the global scale from GOME-2 sensors on the Metop satellite series. The product is developed within the ACSAF network of EUMETSAT and a beta version is publicly available on www.temis.nl. The SIFTER algorithm improves over a previous version by using a narrower spectral window that avoids strong oxygen absorption and is less sensitive to water vapor absorption, by constructing stable reference spectra from a 6-year period (2007-2012) of atmospheric spectra over the Sahara, and by applying a latitude-dependent zero-level adjustment that accounts for biases in the product data. With SIFTER, we generate stable, good-quality SIF retrievals also in tropical regions that are known to suffer from high noise in other SIF products. Uncertainty estimates are included for individual observations, and the product is best used for mostly clear-sky scenes, and when spectral residuals remain below a certain threshold. The strength of SIFTER in the tropical regions was exploited to quantify the 2015/2016 drought in the Amazon, related to El Niño. We found that SIF was strongly suppressed over areas with anomalously high temperatures and decreased levels of soil moisture. SIF went below its climatological range starting from the end of the 2015 dry season and returned to normal levels by February 2016. A validation study is performed to assess the SIFTER quality against independent SIF and GPP products from other platforms, including SIF from OCO-2 and GOSAT, modeled GPP from MPI-BGC and eddy covariance derived, in-situ GPP measurements. SIFTER shows strong correlations (0.70 – 0.94) in the zonal distribution for each continent and in capturing seasonal patterns of SIF and GPP over different regions across the globe (0.62-0.99) when comparing to OCO-2 SIF and GPP from MPI-BGC. At ecosystem level, SIFTER was evaluated against OCO-2 SIF and EC GPP for five flux tower sites with varying biomes and geolocations. Regions with a homogeneous vegetation distribution show a higher correlation than heterogeneous regions. Overall, the results support the use of SIFTER data to be used as an independent constraint on photosynthetic activity on global and regional scales.
How to cite: Kooreman, M. L., Boersma, K. F., van Schaik, E., Mengistu, A. G., Tuinder, O. N. E., Stammes, P., Koren, G., and Peters, W.: Twelve years of SIFTER Sun-Induced Fluorescence retrievals from GOME-2 as an independent constraint on photosynthesis across continents and biomes, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5421, https://doi.org/10.5194/egusphere-egu2020-5421, 2020.
EGU2020-6674 | Displays | BG2.7
Evaluation of understory LAI estimation methodologies over forest ecosystem ICOS sites across EuropeJan-Peter George and Jan Pisek and the Tobias Biermann (2), Arnaud Carrara (3), Edoardo Cremonese (4), Matthias Cuntz (5), Silvano Fares (6), Giacomo Gerosa (7), Thomas Grünwald (8), Niklas Hase (9), Michal Heliasz (2), Andreas Ibrom (10), Alexander Knohl (11), Bart Kruijt (12), Hikdeki Kobaya
Leaf area index (i.e. one-half the total green leaf area per unit of horizontal ground surface area) is a crucial parameter in carbon balancing and modeling. Forest overstory and understory layers differ in carbon and water cycle regimes and phenology, as well as in ecosystem functions. Separate retrievals of leaf area index (LAI) for these two layers would help to improve modeling forest biogeochemical cycles, evaluating forest ecosystem functions and also remote sensing of forest canopies by inversion of canopy reflectance models. The aim of this study is to compare currently available understory LAI assessment methodologies over a diverse set of greenhouse gas measurement sites distributed along a wide latitudinal and elevational gradient across Europe. This will help to quantify the fraction of the canopy LAI which is represented by understory, since this is still the major source of uncertainty in global LAI products derived from remote sensing data. For this, we took ground photos as well as in-situ reflectance measurements of the understory vegetation at 30 ICOS (Integration Carbon Observation System) sites distributed across 10 countries in Europe. The data were analyzed by means of three conceptually different methods for LAI estimation and comprised purely empirical (fractional cover), semi-empirical (in-situ NDVI linked to the radiative transfer model FLiES), and purely deterministic (Four-scale geometrical optical model) approaches. Finally, our results are compared with global forest understory LAI maps derived from remote sensing data at 1 km resolution (Liu et al. 2017). While we found some agreement among the three methods (e.g. Pearson-correlation between empirical and semi-empirical = 0.63), we also identified sources that are particularly prone to error inclusion such as inaccurate assessment of fractional cover from ground photos. Relationships between understory LAI and long-term climate variables were weak and suggested that understory LAI at the ICOS sites is probably more strongly determined by microclimatic conditions.
Liu Y. et al. (2017): Separating overstory and understory leaf area indices for global needleleaf and deciduous broadleaf forests by fusion of MODIS and MISR data. Biogeosciences 14: 1093-1110.
How to cite: George, J.-P. and Pisek, J. and the Tobias Biermann (2), Arnaud Carrara (3), Edoardo Cremonese (4), Matthias Cuntz (5), Silvano Fares (6), Giacomo Gerosa (7), Thomas Grünwald (8), Niklas Hase (9), Michal Heliasz (2), Andreas Ibrom (10), Alexander Knohl (11), Bart Kruijt (12), Hikdeki Kobaya: Evaluation of understory LAI estimation methodologies over forest ecosystem ICOS sites across Europe, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6674, https://doi.org/10.5194/egusphere-egu2020-6674, 2020.
Leaf area index (i.e. one-half the total green leaf area per unit of horizontal ground surface area) is a crucial parameter in carbon balancing and modeling. Forest overstory and understory layers differ in carbon and water cycle regimes and phenology, as well as in ecosystem functions. Separate retrievals of leaf area index (LAI) for these two layers would help to improve modeling forest biogeochemical cycles, evaluating forest ecosystem functions and also remote sensing of forest canopies by inversion of canopy reflectance models. The aim of this study is to compare currently available understory LAI assessment methodologies over a diverse set of greenhouse gas measurement sites distributed along a wide latitudinal and elevational gradient across Europe. This will help to quantify the fraction of the canopy LAI which is represented by understory, since this is still the major source of uncertainty in global LAI products derived from remote sensing data. For this, we took ground photos as well as in-situ reflectance measurements of the understory vegetation at 30 ICOS (Integration Carbon Observation System) sites distributed across 10 countries in Europe. The data were analyzed by means of three conceptually different methods for LAI estimation and comprised purely empirical (fractional cover), semi-empirical (in-situ NDVI linked to the radiative transfer model FLiES), and purely deterministic (Four-scale geometrical optical model) approaches. Finally, our results are compared with global forest understory LAI maps derived from remote sensing data at 1 km resolution (Liu et al. 2017). While we found some agreement among the three methods (e.g. Pearson-correlation between empirical and semi-empirical = 0.63), we also identified sources that are particularly prone to error inclusion such as inaccurate assessment of fractional cover from ground photos. Relationships between understory LAI and long-term climate variables were weak and suggested that understory LAI at the ICOS sites is probably more strongly determined by microclimatic conditions.
Liu Y. et al. (2017): Separating overstory and understory leaf area indices for global needleleaf and deciduous broadleaf forests by fusion of MODIS and MISR data. Biogeosciences 14: 1093-1110.
How to cite: George, J.-P. and Pisek, J. and the Tobias Biermann (2), Arnaud Carrara (3), Edoardo Cremonese (4), Matthias Cuntz (5), Silvano Fares (6), Giacomo Gerosa (7), Thomas Grünwald (8), Niklas Hase (9), Michal Heliasz (2), Andreas Ibrom (10), Alexander Knohl (11), Bart Kruijt (12), Hikdeki Kobaya: Evaluation of understory LAI estimation methodologies over forest ecosystem ICOS sites across Europe, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6674, https://doi.org/10.5194/egusphere-egu2020-6674, 2020.
EGU2020-8263 | Displays | BG2.7
Probing the relationship between formaldehyde column concentrations and soil moisture using mixed models and attribution analysisSusanna Strada, Josep Penuelas, Marcos Fernández Martinez, Iolanda Filella, Ana Maria Yanez-Serrano, Andrea Pozzer, Maite Bauwens, Trissevgeni Stavrakou, and Filippo Giorgi
In response to changes in environmental factors (e.g., temperature, radiation, soil moisture), plants emit biogenic volatile organic compounds (BVOCs). Once released in the atmosphere, BVOCs influence levels of greenhouse gases and air pollutants (e.g., methane, ozone and aerosols), thus affecting both climate and air quality. In turn, climate change may alter BVOC emissions by modifying the driving environmental conditions and by increasing the occurrence and intensity of severe stresses that alter plant functioning. To understand and better constrain the evolution of BVOC emissions under future climates, it is important to reduce the uncertainties in global and regional estimates of BVOC emissions under present climate. Part of the uncertainty in the estimates of BVOC emissions is related to the impact that water stress might have on BVOC emissions. Field campaign, in-situ and laboratory experiments investigated the effect of different regimes of water stress (short- vs. long-term) on BVOC emissions. However, these studies provide geographically scattered and uneven results. To explore the relationship between BVOC emissions and water stress globally, we use remotely sensed soil moisture and formaldehyde, a proxy of BVOC emissions. As BVOCs include a multitude of gas tracers with lifetime ranging from few hours to days, a fully characterisation of these components is virtually impossible. Nevertheless, in the continental boundary layer, formaldehyde is an intermediate by-product of the oxidation of BVOCs, it thus provides a proxy for probing local BVOC emissions, and in particular isoprene, which accounts for about 50% of the total BVOC emissions.
In the present study, retrievals of formaldehyde from the Ozone Monitoring Instrument (OMI) are combined with observations of soil moisture, biomass, aerosols, evapotranspiration, drought index, temperature and precipitation. Firstly, we look into the linear annual trend of the selected fields. Secondly, assuming formaldehyde as the dependent variable, we apply a linear mixed model analysis that extends the application of a simple linear regression model by accounting for both fixed (i.e., explained by the independent variables) and random (i.e., due to dependence in the data) effects. The analysis of the linear trend of formaldehyde concentrations shows a positive trend over the Amazon and Central Africa and a negative trend over South Africa and Australia. Over the Amazon, formaldehyde is negatively correlated with the Standardised Precipitation-Evapotranspiration Index (SPEI), a drought index that accounts for both changes in temperature and precipitation, with positive and negative values identifying wet and dry events, respectively. The outcomes of this analysis might provide new insights in the relationship between BVOC emissions and water stress and might help in improving parameterizations that link soil moisture to BVOC emissions in numerical models.
How to cite: Strada, S., Penuelas, J., Martinez, M. F., Filella, I., Yanez-Serrano, A. M., Pozzer, A., Bauwens, M., Stavrakou, T., and Giorgi, F.: Probing the relationship between formaldehyde column concentrations and soil moisture using mixed models and attribution analysis, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8263, https://doi.org/10.5194/egusphere-egu2020-8263, 2020.
In response to changes in environmental factors (e.g., temperature, radiation, soil moisture), plants emit biogenic volatile organic compounds (BVOCs). Once released in the atmosphere, BVOCs influence levels of greenhouse gases and air pollutants (e.g., methane, ozone and aerosols), thus affecting both climate and air quality. In turn, climate change may alter BVOC emissions by modifying the driving environmental conditions and by increasing the occurrence and intensity of severe stresses that alter plant functioning. To understand and better constrain the evolution of BVOC emissions under future climates, it is important to reduce the uncertainties in global and regional estimates of BVOC emissions under present climate. Part of the uncertainty in the estimates of BVOC emissions is related to the impact that water stress might have on BVOC emissions. Field campaign, in-situ and laboratory experiments investigated the effect of different regimes of water stress (short- vs. long-term) on BVOC emissions. However, these studies provide geographically scattered and uneven results. To explore the relationship between BVOC emissions and water stress globally, we use remotely sensed soil moisture and formaldehyde, a proxy of BVOC emissions. As BVOCs include a multitude of gas tracers with lifetime ranging from few hours to days, a fully characterisation of these components is virtually impossible. Nevertheless, in the continental boundary layer, formaldehyde is an intermediate by-product of the oxidation of BVOCs, it thus provides a proxy for probing local BVOC emissions, and in particular isoprene, which accounts for about 50% of the total BVOC emissions.
In the present study, retrievals of formaldehyde from the Ozone Monitoring Instrument (OMI) are combined with observations of soil moisture, biomass, aerosols, evapotranspiration, drought index, temperature and precipitation. Firstly, we look into the linear annual trend of the selected fields. Secondly, assuming formaldehyde as the dependent variable, we apply a linear mixed model analysis that extends the application of a simple linear regression model by accounting for both fixed (i.e., explained by the independent variables) and random (i.e., due to dependence in the data) effects. The analysis of the linear trend of formaldehyde concentrations shows a positive trend over the Amazon and Central Africa and a negative trend over South Africa and Australia. Over the Amazon, formaldehyde is negatively correlated with the Standardised Precipitation-Evapotranspiration Index (SPEI), a drought index that accounts for both changes in temperature and precipitation, with positive and negative values identifying wet and dry events, respectively. The outcomes of this analysis might provide new insights in the relationship between BVOC emissions and water stress and might help in improving parameterizations that link soil moisture to BVOC emissions in numerical models.
How to cite: Strada, S., Penuelas, J., Martinez, M. F., Filella, I., Yanez-Serrano, A. M., Pozzer, A., Bauwens, M., Stavrakou, T., and Giorgi, F.: Probing the relationship between formaldehyde column concentrations and soil moisture using mixed models and attribution analysis, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8263, https://doi.org/10.5194/egusphere-egu2020-8263, 2020.
EGU2020-9071 | Displays | BG2.7
Validation of seasonal time series of remote sensing derived LAI for hydrological modellingCharlotte Wirion, Boud Verbeiren, and Sindy Sterckx
In urban environments, due to climate change urban heat waves are predicted to occur more frequently. Urban vegetation and the linked evapotranspiration rate can play a mitigating role. However, a major challenge in urban hydrological modelling remains the mapping of vegetation dynamics and its role in hydrological processes in particular interception storage and evapotranspiration. Conventional mapping of vegetation usually implies intensive labor and time consuming field work. We explore the potential of different remote sensing sensors (Proba-V, Landsat, Sentinel2, Apex) to characterize the urban vegetation dynamics for hydrological modelling. The here proposed remote sensing sensors show differences in the spectral and spatial resolutions as well as in their revisit time. However, in the urban environment we need a high spatial and spectral resolution to distinguish the urban landcover and a frequent revisit time to capture seasonal vegetation dynamics. Therefore, we propose a combination of different remote sensing sensors to derive leaf area index (LAI) timeseries in the urban environment. To improve the consistency in time series generated from different remote sensing sources a harmonization of the multi-sensor time series is proposed and validated with a multi-resolution validation approach using ground-truthing LAI (BELHARMONY project). The LAI timeseries, derived from the different remote sensing sensors, are then introduced into the hydrological modelling framework for a location- and time- specific assessment of the interception storage and evapotranspiration component. The effect of the sensor differences to the LAI timeseries on the hydrological response is analyzed.
How to cite: Wirion, C., Verbeiren, B., and Sterckx, S.: Validation of seasonal time series of remote sensing derived LAI for hydrological modelling, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9071, https://doi.org/10.5194/egusphere-egu2020-9071, 2020.
In urban environments, due to climate change urban heat waves are predicted to occur more frequently. Urban vegetation and the linked evapotranspiration rate can play a mitigating role. However, a major challenge in urban hydrological modelling remains the mapping of vegetation dynamics and its role in hydrological processes in particular interception storage and evapotranspiration. Conventional mapping of vegetation usually implies intensive labor and time consuming field work. We explore the potential of different remote sensing sensors (Proba-V, Landsat, Sentinel2, Apex) to characterize the urban vegetation dynamics for hydrological modelling. The here proposed remote sensing sensors show differences in the spectral and spatial resolutions as well as in their revisit time. However, in the urban environment we need a high spatial and spectral resolution to distinguish the urban landcover and a frequent revisit time to capture seasonal vegetation dynamics. Therefore, we propose a combination of different remote sensing sensors to derive leaf area index (LAI) timeseries in the urban environment. To improve the consistency in time series generated from different remote sensing sources a harmonization of the multi-sensor time series is proposed and validated with a multi-resolution validation approach using ground-truthing LAI (BELHARMONY project). The LAI timeseries, derived from the different remote sensing sensors, are then introduced into the hydrological modelling framework for a location- and time- specific assessment of the interception storage and evapotranspiration component. The effect of the sensor differences to the LAI timeseries on the hydrological response is analyzed.
How to cite: Wirion, C., Verbeiren, B., and Sterckx, S.: Validation of seasonal time series of remote sensing derived LAI for hydrological modelling, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9071, https://doi.org/10.5194/egusphere-egu2020-9071, 2020.
EGU2020-12000 | Displays | BG2.7
Potassium estimation of cotton leaves based on hyperspectral reflectanceAdunias dos Santos Teixeira, Marcio Regys Rabelo Oliveira, Luis Clenio Jario Moreira, Francisca Ligia de Castro Machado, Fernando Bezerra Lopes, and Isabel Cristina da Silva Araújo
Potassium estimation on plant leaves can help monitor metabolic processes and plant health. The detailed study of hyperspectral data on leaves can therefore be a strong ally in the nutritional diagnosis of plants and can be applied to an on the go systems for precision farming application. In this study, reflectance spectra of cotton leaves were analysed for an assessment of potassium deficiency in cotton plants (Gossypium hirsutum L. ‘BRS 293’). The crop was planted in a greenhouse in the experimental area of the Federal University of Ceara (UFC), Fortaleza, Brazil. Irrigated cotton plants were submitted to four different doses of potassium with twenty replications (n= 80) over 119 days. The following treatments were applied: 50%, 75%, 100% and 125% of the recommended potassium dose. Hyperspectral reflectance spectra data were collected using a Fieldspec ProFR 3 during full flowering, the phenological stage most demanding of potassium. Multivariate statistical techniques were applied to the raw data, the transformed data by derivative analysis, and by the technique of continuum removal. Band selection was carried out by the stepwise method in order to fit a PLSR model focused on identifying bands that are most sensitive to variations in potassium leaf concentrations. Model performance was evaluated by adjusted correlation coefficients – R2adj, root mean square error - RMSE, and residual prediction deviation - RPD. Validation results indicated that the PLSR model accounted for 82.0% of the variation in leaf potassium concentration, with a RMSE of 3.74 and RPD of 1.61. Therefore, the discrimination of potassium deficiencies in cotton using hyperspectral data was satisfactorily performed by a PLSR model composed of 13 wavelengths, of which most are commonly associated with moisture, lignin, cellulose, sugar and protein concentrations in cotton leaves.
How to cite: Teixeira, A. D. S., Oliveira, M. R. R., Moreira, L. C. J., Machado, F. L. D. C., Lopes, F. B., and Araújo, I. C. D. S.: Potassium estimation of cotton leaves based on hyperspectral reflectance, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12000, https://doi.org/10.5194/egusphere-egu2020-12000, 2020.
Potassium estimation on plant leaves can help monitor metabolic processes and plant health. The detailed study of hyperspectral data on leaves can therefore be a strong ally in the nutritional diagnosis of plants and can be applied to an on the go systems for precision farming application. In this study, reflectance spectra of cotton leaves were analysed for an assessment of potassium deficiency in cotton plants (Gossypium hirsutum L. ‘BRS 293’). The crop was planted in a greenhouse in the experimental area of the Federal University of Ceara (UFC), Fortaleza, Brazil. Irrigated cotton plants were submitted to four different doses of potassium with twenty replications (n= 80) over 119 days. The following treatments were applied: 50%, 75%, 100% and 125% of the recommended potassium dose. Hyperspectral reflectance spectra data were collected using a Fieldspec ProFR 3 during full flowering, the phenological stage most demanding of potassium. Multivariate statistical techniques were applied to the raw data, the transformed data by derivative analysis, and by the technique of continuum removal. Band selection was carried out by the stepwise method in order to fit a PLSR model focused on identifying bands that are most sensitive to variations in potassium leaf concentrations. Model performance was evaluated by adjusted correlation coefficients – R2adj, root mean square error - RMSE, and residual prediction deviation - RPD. Validation results indicated that the PLSR model accounted for 82.0% of the variation in leaf potassium concentration, with a RMSE of 3.74 and RPD of 1.61. Therefore, the discrimination of potassium deficiencies in cotton using hyperspectral data was satisfactorily performed by a PLSR model composed of 13 wavelengths, of which most are commonly associated with moisture, lignin, cellulose, sugar and protein concentrations in cotton leaves.
How to cite: Teixeira, A. D. S., Oliveira, M. R. R., Moreira, L. C. J., Machado, F. L. D. C., Lopes, F. B., and Araújo, I. C. D. S.: Potassium estimation of cotton leaves based on hyperspectral reflectance, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12000, https://doi.org/10.5194/egusphere-egu2020-12000, 2020.
EGU2020-13399 | Displays | BG2.7
Remote sensing of grassland communities in Mongolian Steppe combining multi-source data and machine learning classification algorithmsThanh Noi Phan, Yun Jäschke, Oyundari Chuluunkhuyag, Munkhzul Oyunbileg, Karsten Wesche, and Lukas Lehnert
In this study, we investigate the performance of machine learning classification approaches and different remotely sensed data sources for identifying and mapping three types of grassland communities found in the Mongolian Steppe region (Artemisia, Caragana and grass dominated steppes). The Mongolian steppe is intensively used as pasture and provides the economic basis for approximately 1 million herders. The grassland types differ in their forage values, which is why a spatially-explicit estimation of their occurrence is of high importance. We compared different sensors, classifiers, and training-sample strategies to identify the most effective approaches for mapping these communities. Ten datasets were used: Landsat 8 OLI (30 m), pan-sharpened Landsat 8 (15 m), Landsat 8 Surface Reflectance (30 m), Sentinel 2 (10 m), Sentinel 2 (20 m), Worldview 3 (0.5 m and 1.2 m), integrated Landsat 8 and Sentinel 2 (30 m), temporal Landsat 8, and temporal Sentinel 2. The two foremost classifiers at producing high accuracy of land cover classification, SVM and RF, were applied with the same training datasets. The training samples were collected in a manner so that they could be used for different spatial resolutions (i.e., ranging from 0.5 to 30 m) with the least effect from mixed training samples and spatial autocorrelation. The results of this study indicate that remote sensing is a viable method for the identification of different grassland communities in the Mongolian Steppe region.
How to cite: Phan, T. N., Jäschke, Y., Chuluunkhuyag, O., Oyunbileg, M., Wesche, K., and Lehnert, L.: Remote sensing of grassland communities in Mongolian Steppe combining multi-source data and machine learning classification algorithms, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13399, https://doi.org/10.5194/egusphere-egu2020-13399, 2020.
In this study, we investigate the performance of machine learning classification approaches and different remotely sensed data sources for identifying and mapping three types of grassland communities found in the Mongolian Steppe region (Artemisia, Caragana and grass dominated steppes). The Mongolian steppe is intensively used as pasture and provides the economic basis for approximately 1 million herders. The grassland types differ in their forage values, which is why a spatially-explicit estimation of their occurrence is of high importance. We compared different sensors, classifiers, and training-sample strategies to identify the most effective approaches for mapping these communities. Ten datasets were used: Landsat 8 OLI (30 m), pan-sharpened Landsat 8 (15 m), Landsat 8 Surface Reflectance (30 m), Sentinel 2 (10 m), Sentinel 2 (20 m), Worldview 3 (0.5 m and 1.2 m), integrated Landsat 8 and Sentinel 2 (30 m), temporal Landsat 8, and temporal Sentinel 2. The two foremost classifiers at producing high accuracy of land cover classification, SVM and RF, were applied with the same training datasets. The training samples were collected in a manner so that they could be used for different spatial resolutions (i.e., ranging from 0.5 to 30 m) with the least effect from mixed training samples and spatial autocorrelation. The results of this study indicate that remote sensing is a viable method for the identification of different grassland communities in the Mongolian Steppe region.
How to cite: Phan, T. N., Jäschke, Y., Chuluunkhuyag, O., Oyunbileg, M., Wesche, K., and Lehnert, L.: Remote sensing of grassland communities in Mongolian Steppe combining multi-source data and machine learning classification algorithms, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13399, https://doi.org/10.5194/egusphere-egu2020-13399, 2020.
EGU2020-19665 | Displays | BG2.7
A software framework for optimizing the design of spaceborne hyperspectral imager architecturesAdam Erickson, Benjamin Poulter, David Thompson, Gregory Okin, Shawn Serbin, Weile Wang, and David Schimel
Quantifying the capacity, and uncertainty, of proposed spaceborne hyperspectral imagers to retrieve atmospheric and surface state information is necessary to optimize future satellite architectures for their science value. Given the vast potential joint trade-and-environment-space, modeling key ‘globally representative’ points in this n-dimensional space is a practical solution for improving computational tractability. Given guidance from policy instruments such as the NASA Decadal Survey and the recommended Designated Target Observables, or DOs, the downselect process can be viewed as a constrained multi-objective optimization. The need to simulate imager architecture performance to achieve downselect goals has motivated the development of new mathematical models for estimating radiometric and retrieval uncertainties provided conditions analogous to real-world environments. The goals can be met with recent advances that integrate mature atmospheric inversion approaches such as Optimal Estimation (OE) that includes joint atmospheric-surface state estimation (Thompson et al. 2018) and the EnMAP end-to-end simulation tool, EeteS (Segl et al. 2012), which utilizes OE for inversions. While surface-reflectance and retrieval simulation models are normally run in isolation on local computing environments, we extend tools to enable uncertainty quantification into new representative environments and thereby increase robustness of the downselect process by providing an advanced simulation model to the broader hyperspectral imaging community in software-as-a-service (SaaS). Here, we describe and demonstrate our instrument modeling web service and corresponding hyperspectral traceability analysis (HyperTrace) library for Python. The modeling service and underlying HyperTrace OE library are deployed on the NASA DISCOVER high-performance computing (HPC) infrastructure. An intermediate HTTP server communicates between FTP and HTTP servers, providing persistent archival of model inputs and outputs for subsequent meta-analyses. To facilitate enhanced community participation, users may simply transfer a folder containing ENVI format hyperspectral imagery and a corresponding JSON metadata file to the FTP server, from which it is pulled to a NASA DISCOVER server for processing, with statistical, graphical, and ENVI-formatted results subsequently returned to the FTP server where it is available for users to download. This activity provides an expanded capability for estimating the various science values of architectures under consideration for NASA’s Surface Biology and Geology Designated Observable.
How to cite: Erickson, A., Poulter, B., Thompson, D., Okin, G., Serbin, S., Wang, W., and Schimel, D.: A software framework for optimizing the design of spaceborne hyperspectral imager architectures, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19665, https://doi.org/10.5194/egusphere-egu2020-19665, 2020.
Quantifying the capacity, and uncertainty, of proposed spaceborne hyperspectral imagers to retrieve atmospheric and surface state information is necessary to optimize future satellite architectures for their science value. Given the vast potential joint trade-and-environment-space, modeling key ‘globally representative’ points in this n-dimensional space is a practical solution for improving computational tractability. Given guidance from policy instruments such as the NASA Decadal Survey and the recommended Designated Target Observables, or DOs, the downselect process can be viewed as a constrained multi-objective optimization. The need to simulate imager architecture performance to achieve downselect goals has motivated the development of new mathematical models for estimating radiometric and retrieval uncertainties provided conditions analogous to real-world environments. The goals can be met with recent advances that integrate mature atmospheric inversion approaches such as Optimal Estimation (OE) that includes joint atmospheric-surface state estimation (Thompson et al. 2018) and the EnMAP end-to-end simulation tool, EeteS (Segl et al. 2012), which utilizes OE for inversions. While surface-reflectance and retrieval simulation models are normally run in isolation on local computing environments, we extend tools to enable uncertainty quantification into new representative environments and thereby increase robustness of the downselect process by providing an advanced simulation model to the broader hyperspectral imaging community in software-as-a-service (SaaS). Here, we describe and demonstrate our instrument modeling web service and corresponding hyperspectral traceability analysis (HyperTrace) library for Python. The modeling service and underlying HyperTrace OE library are deployed on the NASA DISCOVER high-performance computing (HPC) infrastructure. An intermediate HTTP server communicates between FTP and HTTP servers, providing persistent archival of model inputs and outputs for subsequent meta-analyses. To facilitate enhanced community participation, users may simply transfer a folder containing ENVI format hyperspectral imagery and a corresponding JSON metadata file to the FTP server, from which it is pulled to a NASA DISCOVER server for processing, with statistical, graphical, and ENVI-formatted results subsequently returned to the FTP server where it is available for users to download. This activity provides an expanded capability for estimating the various science values of architectures under consideration for NASA’s Surface Biology and Geology Designated Observable.
How to cite: Erickson, A., Poulter, B., Thompson, D., Okin, G., Serbin, S., Wang, W., and Schimel, D.: A software framework for optimizing the design of spaceborne hyperspectral imager architectures, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19665, https://doi.org/10.5194/egusphere-egu2020-19665, 2020.
We increasingly recognize the diversity of biological systems, in terms of taxonomy, phylogeny and function, as well as the importance of biotic interactions in shaping them. However, the diversity of abiotic factors and interactions between biotic and abiotic diversity are still understudied, despite of Alexander from Humboldt’s advocacy over 200 years ago (Schrodt et al. 2019a). As such, we have lost sight of one of fundamental concepts of Biogeosciences: holistic integrative studies of patterns and processes across the Earth’s spheres.
In the face of accelerated anthropogenic and natural change of biotic and abiotic aspects, appreciation of the interaction diversity between all spheres of the Earth is urgently needed. Yet, to date, the vast majority of studies only account for the effect of climate and, potentially, soils on biodiversity, ignoring interactions (e.g. the effect of biodiversity on soils) and other aspects of geodiversity (the range, value and dynamics of geological, geomorphological, pedological and hydrological aspects and features of the Earth’s surface and subsurface). This applies to both, primary science and the science-policy interface.
I will give a brief introduction on the state-of-the-art in geodiversity – biodiversity interaction research, discuss the importance of incorporating the diversity of abiotic factors in biodiversity and conservation studies and indicate promising avenues for further research. This includes theoretical advancements, such as the recently introduced Essential Geodiversity Variables framework (Schrodt et al. 2019b), as well as practical matters, including remote sensing (Lausch et al. 2019) and modelling approaches suitable for expanding the geo- biodiversity interaction approach across the relevant spatial and temporal scales.
F Schrodt et al. (2019a) Challenges and opportunities for biogeography—What can we still learn from von Humboldt? Journal of Biogeography
F Schrodt et al. (2019b) To advance sustainable stewardship, we must document not only biodiversity but geodiversity. PNAS 116 (33): 16155 – 16158
A Lausch et al. (2019) Linking remote sensing and geodiversity and their traits relevant to biodiversity—part I: soil characteristics. Remote sensing 11 (20): 2356-2407
How to cite: Schrodt, F.: Putting the geo back into Biogeosciences, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20369, https://doi.org/10.5194/egusphere-egu2020-20369, 2020.
We increasingly recognize the diversity of biological systems, in terms of taxonomy, phylogeny and function, as well as the importance of biotic interactions in shaping them. However, the diversity of abiotic factors and interactions between biotic and abiotic diversity are still understudied, despite of Alexander from Humboldt’s advocacy over 200 years ago (Schrodt et al. 2019a). As such, we have lost sight of one of fundamental concepts of Biogeosciences: holistic integrative studies of patterns and processes across the Earth’s spheres.
In the face of accelerated anthropogenic and natural change of biotic and abiotic aspects, appreciation of the interaction diversity between all spheres of the Earth is urgently needed. Yet, to date, the vast majority of studies only account for the effect of climate and, potentially, soils on biodiversity, ignoring interactions (e.g. the effect of biodiversity on soils) and other aspects of geodiversity (the range, value and dynamics of geological, geomorphological, pedological and hydrological aspects and features of the Earth’s surface and subsurface). This applies to both, primary science and the science-policy interface.
I will give a brief introduction on the state-of-the-art in geodiversity – biodiversity interaction research, discuss the importance of incorporating the diversity of abiotic factors in biodiversity and conservation studies and indicate promising avenues for further research. This includes theoretical advancements, such as the recently introduced Essential Geodiversity Variables framework (Schrodt et al. 2019b), as well as practical matters, including remote sensing (Lausch et al. 2019) and modelling approaches suitable for expanding the geo- biodiversity interaction approach across the relevant spatial and temporal scales.
F Schrodt et al. (2019a) Challenges and opportunities for biogeography—What can we still learn from von Humboldt? Journal of Biogeography
F Schrodt et al. (2019b) To advance sustainable stewardship, we must document not only biodiversity but geodiversity. PNAS 116 (33): 16155 – 16158
A Lausch et al. (2019) Linking remote sensing and geodiversity and their traits relevant to biodiversity—part I: soil characteristics. Remote sensing 11 (20): 2356-2407
How to cite: Schrodt, F.: Putting the geo back into Biogeosciences, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20369, https://doi.org/10.5194/egusphere-egu2020-20369, 2020.
EGU2020-21674 | Displays | BG2.7
Mapping crop distribution in China between 2000 and 2015 by fusing remote-sensing derived cropping seasons and knowledge-based crop phenologyYue Wang, Lijun Zuo, and Zengxiang zhang
Crop mapping is necessary for a variety of application in food security and agricultural monitoring. An innovative phenology-based crop mapping method was developed to map 14 crops between 2000 and 2015. Unlike traditional mapping methods mainly based on remote-sensing data and statistic data, our method takes crop phenology as the input. Phenological metrics represent crop characteristics related to crop calendar and progress such as the timing of emergence, maturity, harvest, etc. Phenological characteristics of each crop are relatively consistent for a long period of time. Combing crop phenology, we allocated the statistical harvest areas on cropland through matching different crops to different cropping seasons in each agroecological regions, which were extracted from 16-day composite MODIS EVI (MOD13Q1) time series data in 250m spatial resolution. Here we obtained the distribution of 14 crops at the spatial resolution of 1km by 1km in 2000, 2010 and 2015, which had higher spatial resolution and higher accuracy when compared with other products. By comparing the data recorded crop types in each meteorological station, we found our method achieved higher accuracies than other methods at the same resolution. As for winter crops, the relevance between total statistical crop area and the area of different cropping seasons that extracted by remote sensing in each agroecological region was higher than 70%. Obviously, the use of crop phenology as the mapping method input improve the accuracy of crop mapping, which are convenient for analyzing the spatial and temporal change of our crops. We found that the center of gravity migration of all crops fell into three directions when analyzing the center of gravity distribution change. In addition, declining Shannon diversity index reflected that the crop richness of the same plot was decreasing.
How to cite: Wang, Y., Zuo, L., and zhang, Z.: Mapping crop distribution in China between 2000 and 2015 by fusing remote-sensing derived cropping seasons and knowledge-based crop phenology, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21674, https://doi.org/10.5194/egusphere-egu2020-21674, 2020.
Crop mapping is necessary for a variety of application in food security and agricultural monitoring. An innovative phenology-based crop mapping method was developed to map 14 crops between 2000 and 2015. Unlike traditional mapping methods mainly based on remote-sensing data and statistic data, our method takes crop phenology as the input. Phenological metrics represent crop characteristics related to crop calendar and progress such as the timing of emergence, maturity, harvest, etc. Phenological characteristics of each crop are relatively consistent for a long period of time. Combing crop phenology, we allocated the statistical harvest areas on cropland through matching different crops to different cropping seasons in each agroecological regions, which were extracted from 16-day composite MODIS EVI (MOD13Q1) time series data in 250m spatial resolution. Here we obtained the distribution of 14 crops at the spatial resolution of 1km by 1km in 2000, 2010 and 2015, which had higher spatial resolution and higher accuracy when compared with other products. By comparing the data recorded crop types in each meteorological station, we found our method achieved higher accuracies than other methods at the same resolution. As for winter crops, the relevance between total statistical crop area and the area of different cropping seasons that extracted by remote sensing in each agroecological region was higher than 70%. Obviously, the use of crop phenology as the mapping method input improve the accuracy of crop mapping, which are convenient for analyzing the spatial and temporal change of our crops. We found that the center of gravity migration of all crops fell into three directions when analyzing the center of gravity distribution change. In addition, declining Shannon diversity index reflected that the crop richness of the same plot was decreasing.
How to cite: Wang, Y., Zuo, L., and zhang, Z.: Mapping crop distribution in China between 2000 and 2015 by fusing remote-sensing derived cropping seasons and knowledge-based crop phenology, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21674, https://doi.org/10.5194/egusphere-egu2020-21674, 2020.
EGU2020-21907 | Displays | BG2.7
GBOV (Ground-Based Observation for Validation): A Copernicus service for validation of Land ProductsGabriele Bai, Christophe Lerebourg, Marco Clerici, Nadine Gobron, Jan-Peter Muller, Rui Song, Jadu Dash, Luke Brown, Harry Morris, Ernesto Lopez-Baeza, Erika Albero, Darren Ghent, and Emma Dodd
Copernicus is a European Union Earth Observation program, dedicated to monitor our planet and its environment, giving free access to remote sensing data and derived Earth Observation products. For proper use in environmental monitoring and scientific applications, it is fundamental to guarantee high quality and consistency of these satellite derived products. One of the possibilities to ensure product quality is to perform quantitative comparisons of satellite derived products with the corresponding in situ observation. Two options can then be considered for ground data sources: through intensive field campaigns or making use of permanent ground stations deployed and maintained on the long term. In the first case, a large variety of variable can be assessed, but logistical challenges and financial resources limit in time and space the products validation. More over meteorological constrains often limit the number of data that can actually be used for Earth Observation products. The second option is from far the most cost effective although it is not yet possible to cover all ground variables with permanent field deployment.
To achieve these objectives of systematic and long-term data validation, the Ground-Based Observations for Validation (GBOV) service has been implemented, facilitating the use of observations from operational ground-based monitoring networks and their comparison to EO products. The service is guaranteed through 3 different components:
- Collection of multi-year ground-based observations (Reference Measurements - RMs) of high relevance for the understanding of land surface processes from more than 50 existing sites. These RMs are then upscaled to generate Land Products (LPs), in order to validate the Copernicus products. In particular, the LPs distributed through the GBOV portal are: Top of Canopy Reflectance (ToC-R), surface albedo, Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Available Radiation (FAPAR), Fraction of Covered ground (FCover), Surface Soil Moisture (SSM) and Land Surface Temperature (LST).
- Upgrade of existing sites with new instrumentation or establishing entirely new monitoring sites to close thematic or geographical gaps. In 2019 new instrumentation has been installed in three different sites: Hainich (Germany), Valencia (Spain) and Tumbarumba (Australia). Litchfield (Australia), Dahra (Senegal) and Skukuza (South Africa) will be equipped with new instrumentation in the course of 2020.
- Implementation and maintenance of a database for the distribution of the Reference Measurements and the corresponding Land Products, available through the website https://land.copernicus.eu/global/gbov. GBOV data access is completely free, after registration and acceptation of the terms of use and the data policy.
How to cite: Bai, G., Lerebourg, C., Clerici, M., Gobron, N., Muller, J.-P., Song, R., Dash, J., Brown, L., Morris, H., Lopez-Baeza, E., Albero, E., Ghent, D., and Dodd, E.: GBOV (Ground-Based Observation for Validation): A Copernicus service for validation of Land Products, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21907, https://doi.org/10.5194/egusphere-egu2020-21907, 2020.
Copernicus is a European Union Earth Observation program, dedicated to monitor our planet and its environment, giving free access to remote sensing data and derived Earth Observation products. For proper use in environmental monitoring and scientific applications, it is fundamental to guarantee high quality and consistency of these satellite derived products. One of the possibilities to ensure product quality is to perform quantitative comparisons of satellite derived products with the corresponding in situ observation. Two options can then be considered for ground data sources: through intensive field campaigns or making use of permanent ground stations deployed and maintained on the long term. In the first case, a large variety of variable can be assessed, but logistical challenges and financial resources limit in time and space the products validation. More over meteorological constrains often limit the number of data that can actually be used for Earth Observation products. The second option is from far the most cost effective although it is not yet possible to cover all ground variables with permanent field deployment.
To achieve these objectives of systematic and long-term data validation, the Ground-Based Observations for Validation (GBOV) service has been implemented, facilitating the use of observations from operational ground-based monitoring networks and their comparison to EO products. The service is guaranteed through 3 different components:
- Collection of multi-year ground-based observations (Reference Measurements - RMs) of high relevance for the understanding of land surface processes from more than 50 existing sites. These RMs are then upscaled to generate Land Products (LPs), in order to validate the Copernicus products. In particular, the LPs distributed through the GBOV portal are: Top of Canopy Reflectance (ToC-R), surface albedo, Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Available Radiation (FAPAR), Fraction of Covered ground (FCover), Surface Soil Moisture (SSM) and Land Surface Temperature (LST).
- Upgrade of existing sites with new instrumentation or establishing entirely new monitoring sites to close thematic or geographical gaps. In 2019 new instrumentation has been installed in three different sites: Hainich (Germany), Valencia (Spain) and Tumbarumba (Australia). Litchfield (Australia), Dahra (Senegal) and Skukuza (South Africa) will be equipped with new instrumentation in the course of 2020.
- Implementation and maintenance of a database for the distribution of the Reference Measurements and the corresponding Land Products, available through the website https://land.copernicus.eu/global/gbov. GBOV data access is completely free, after registration and acceptation of the terms of use and the data policy.
How to cite: Bai, G., Lerebourg, C., Clerici, M., Gobron, N., Muller, J.-P., Song, R., Dash, J., Brown, L., Morris, H., Lopez-Baeza, E., Albero, E., Ghent, D., and Dodd, E.: GBOV (Ground-Based Observation for Validation): A Copernicus service for validation of Land Products, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21907, https://doi.org/10.5194/egusphere-egu2020-21907, 2020.
EGU2020-363 | Displays | BG2.7
Discrimination of forest species by remote sensing in the national park "Smolenskoe Poozerie"Anna Narykova
Forests cover about 40 percent of the Earth surface and they are very important for the ecosystems. For instance, forest land highly impacts carbon dynamics, provides habitats for organisms, conserves soil and water resources, and supports human demand for timber and recreation.
This study will discuss the method of determining the deciduous and coniferous tree species in forests by using Unmanned Aerial System (UAS) or drones for distinction of old-growth and second-growth forests. The key area of research is the national park in Smolensk region in the west of Russia, it is called «Smolenskoe Poozerie».The original forests (old-growth) in this area are Pine-Spruce and Oak-Linden forests but the main part were cut down for agriculture and to fuel both industry and farms. The second-growth tree species, such as Poplar-Birch forests, have a tendency to spread to disturbed habitats and replace native tree species.
This theme is relevant because it is one of the modern methods of distinction of old-growth and second-growth forests. Drones are able to cover a relatively large area in a single flight. They operate on user demand and deliver very high resolution images. They have a huge advantage of mapping in order to analyze and monitor forest ecosystems on a tree-level, instead of on a stand-level.
How to cite: Narykova, A.: Discrimination of forest species by remote sensing in the national park "Smolenskoe Poozerie", EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-363, https://doi.org/10.5194/egusphere-egu2020-363, 2020.
Forests cover about 40 percent of the Earth surface and they are very important for the ecosystems. For instance, forest land highly impacts carbon dynamics, provides habitats for organisms, conserves soil and water resources, and supports human demand for timber and recreation.
This study will discuss the method of determining the deciduous and coniferous tree species in forests by using Unmanned Aerial System (UAS) or drones for distinction of old-growth and second-growth forests. The key area of research is the national park in Smolensk region in the west of Russia, it is called «Smolenskoe Poozerie».The original forests (old-growth) in this area are Pine-Spruce and Oak-Linden forests but the main part were cut down for agriculture and to fuel both industry and farms. The second-growth tree species, such as Poplar-Birch forests, have a tendency to spread to disturbed habitats and replace native tree species.
This theme is relevant because it is one of the modern methods of distinction of old-growth and second-growth forests. Drones are able to cover a relatively large area in a single flight. They operate on user demand and deliver very high resolution images. They have a huge advantage of mapping in order to analyze and monitor forest ecosystems on a tree-level, instead of on a stand-level.
How to cite: Narykova, A.: Discrimination of forest species by remote sensing in the national park "Smolenskoe Poozerie", EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-363, https://doi.org/10.5194/egusphere-egu2020-363, 2020.
EGU2020-1223 | Displays | BG2.7
Estimation of leaf photosynthetic capacity from the photochemical reflectance index and leaf pigmentsShuren Chou, Bin Chen, Jing Chen, Miaomiao Wang, Shaoqiang Wang, Holly Croft, and Qin Shi
Estimation of leaf photosynthetic capacity from the photochemical reflectance index and leaf pigments
Shuren Chou1#, Bin Chen2*#, Jing Chen3,4*, Miaomiao Wang2,5, Shaoqiang Wang2,5,6, Holly Croft7, Qin Shi8
1Space Security Center, Space Engineering University, Beijing 101416, China;
2Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
3School of Geographical Sciences, Fujian Normal University, Fuzhou, 350117, China
4Department of Geography and Planning, University of Toronto, Toronto, Canada
5College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
6College of Geography and Information Engineering, China University of Geosciences, Wuhan, China
7Department of Animal and Plant Sciences, University of Sheffield, Western Bank, Sheffield S10 2TN, U.K.
8Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing 210014, China;
Abstract: Leaf chlorophyll content has recently been found to be a better proxy than leaf nitrogen content for leaf photosynthetic capacity in a mixed deciduous broadleaf forest. A key concept underlying the relationship between leaf photosynthetic capacity and leaf chlorophyll content was the coordinate regulation of photosynthetic components (i.e. light harvesting, photochemical, and biochemical components). In order to test this hypothesis, we measured seasonal variations in leaf nitrogen content (Nleaf), leaf photosynthetic pigments (i.e. chlorophyll (ChlLeaf), carotenoids (CarLeaf) and xanthophyll (XanLeaf)) and leaf photosynthetic capacity (i.e. the maximum rate at which ribulose bisphosphate (RuBP) is carboxylated (Vcmax25) and regenerated (Jmax25) at 25 oC) at a paddy rice site during the growing season in 2016. We investigated the effectiveness of (Nleaf), leaf photosynthetic pigments, leaf-level photochemical reflectance index at sunny noon (PRILeaf_noon) and their possible combinations for estimating leaf photosynthetic capacities (i.e. Vcmax25 and Jmax25) at a paddy rice site. ChlLeaf was highly correlated to Vcmax25 and Jmax25 (R2 = 0.89 and 0.87, respectively), which were better than Nleaf (R2 = 0.80 and 0.85, respectively). The products of PRILeaf_noon with leaf pigments (i.e. ChlLeaf, CarLeaf and XanLeaf) were also found to be highly correlated with Vcmax25 (R2 = 0.95 to 0.96). Also, the product of leaf chlorophyll a and CarLeaf was a good proxy for Vcmax25 (R2 = 0.93). In sum, this study supported the previously findings that leaf chlorophyll content was better correlated with Vcmax25 than leaf nitrogen content. Also, combining PRILeaf_noon with leaf pigments (i.e. ChlLeaf, CarLeaf and XanLeaf) offered an additional way to estimate leaf photosynthetic capacity (i.e. Vcmax25). These findings supported the hypothesis of coordinate regulation of photosynthetic components and they would be helpful to estimation of leaf photosynthetic capacity using remote sensing data.
Keywords: seasonal variations; leaf nitrogen content; photosynthetic pigments; leaf maximum carboxylation rate
How to cite: Chou, S., Chen, B., Chen, J., Wang, M., Wang, S., Croft, H., and Shi, Q.: Estimation of leaf photosynthetic capacity from the photochemical reflectance index and leaf pigments, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1223, https://doi.org/10.5194/egusphere-egu2020-1223, 2020.
Estimation of leaf photosynthetic capacity from the photochemical reflectance index and leaf pigments
Shuren Chou1#, Bin Chen2*#, Jing Chen3,4*, Miaomiao Wang2,5, Shaoqiang Wang2,5,6, Holly Croft7, Qin Shi8
1Space Security Center, Space Engineering University, Beijing 101416, China;
2Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
3School of Geographical Sciences, Fujian Normal University, Fuzhou, 350117, China
4Department of Geography and Planning, University of Toronto, Toronto, Canada
5College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
6College of Geography and Information Engineering, China University of Geosciences, Wuhan, China
7Department of Animal and Plant Sciences, University of Sheffield, Western Bank, Sheffield S10 2TN, U.K.
8Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing 210014, China;
Abstract: Leaf chlorophyll content has recently been found to be a better proxy than leaf nitrogen content for leaf photosynthetic capacity in a mixed deciduous broadleaf forest. A key concept underlying the relationship between leaf photosynthetic capacity and leaf chlorophyll content was the coordinate regulation of photosynthetic components (i.e. light harvesting, photochemical, and biochemical components). In order to test this hypothesis, we measured seasonal variations in leaf nitrogen content (Nleaf), leaf photosynthetic pigments (i.e. chlorophyll (ChlLeaf), carotenoids (CarLeaf) and xanthophyll (XanLeaf)) and leaf photosynthetic capacity (i.e. the maximum rate at which ribulose bisphosphate (RuBP) is carboxylated (Vcmax25) and regenerated (Jmax25) at 25 oC) at a paddy rice site during the growing season in 2016. We investigated the effectiveness of (Nleaf), leaf photosynthetic pigments, leaf-level photochemical reflectance index at sunny noon (PRILeaf_noon) and their possible combinations for estimating leaf photosynthetic capacities (i.e. Vcmax25 and Jmax25) at a paddy rice site. ChlLeaf was highly correlated to Vcmax25 and Jmax25 (R2 = 0.89 and 0.87, respectively), which were better than Nleaf (R2 = 0.80 and 0.85, respectively). The products of PRILeaf_noon with leaf pigments (i.e. ChlLeaf, CarLeaf and XanLeaf) were also found to be highly correlated with Vcmax25 (R2 = 0.95 to 0.96). Also, the product of leaf chlorophyll a and CarLeaf was a good proxy for Vcmax25 (R2 = 0.93). In sum, this study supported the previously findings that leaf chlorophyll content was better correlated with Vcmax25 than leaf nitrogen content. Also, combining PRILeaf_noon with leaf pigments (i.e. ChlLeaf, CarLeaf and XanLeaf) offered an additional way to estimate leaf photosynthetic capacity (i.e. Vcmax25). These findings supported the hypothesis of coordinate regulation of photosynthetic components and they would be helpful to estimation of leaf photosynthetic capacity using remote sensing data.
Keywords: seasonal variations; leaf nitrogen content; photosynthetic pigments; leaf maximum carboxylation rate
How to cite: Chou, S., Chen, B., Chen, J., Wang, M., Wang, S., Croft, H., and Shi, Q.: Estimation of leaf photosynthetic capacity from the photochemical reflectance index and leaf pigments, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1223, https://doi.org/10.5194/egusphere-egu2020-1223, 2020.
EGU2020-2463 | Displays | BG2.7 | Highlight
GeoNEX: Earth observations from operational geostationary satellite systemsRama Nemani, Tsengdar Lee, Satya Kalluri, Kazuhito Ichii, and Jong-Min Yeom
The NASA Earth Exchange (NEX) team at Ames Research Center has embarked on a collaborative effort involving scientists from NASA, NOAA, JAXA/JMA, KMA/KARI exploring the feasibility of producing EOS-quality research products from operational geostationary satellite systems for climate monitoring. The latest generation of geostationary satellites (Himawari 8/9, GOES-16/17, Fengyun-4, GeoKompsat-2A) carry sensors that closely mimic the spatial and spectral characteristics of widely used polar-orbiting, global monitoring sensors such as MODIS and VIIRS. More importantly, they provide observations as frequently as 5-15 minutes. Data from various currently operating geostationary platforms provide a geo-ring of hyper-temporal, multispectral observations. Such high frequency observations, particularly when combined with data from polar orbiters, offer exciting possibilities for improving the retrieval of geophysical variables by overcoming cloud cover, enable studies of diurnally varying phenomena over land, in the atmosphere and the oceans, and help in operational decision-making in agriculture, hydrology and disaster management. Beyond the weather-focused geo-sensors, a number of new spectrometers are scheduled to be launched in the next five years in geostationary orbit to study atmospheric pollution (GEMS, TEMPO), ocean color (GOCI) and carbon cycling (GeoCARB). This talk will highlight new research, data sets, algorithms and computational platforms that utilize data from geostationary satellites to advance our ability to monitor the environment and create climate resiliency.
How to cite: Nemani, R., Lee, T., Kalluri, S., Ichii, K., and Yeom, J.-M.: GeoNEX: Earth observations from operational geostationary satellite systems, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2463, https://doi.org/10.5194/egusphere-egu2020-2463, 2020.
The NASA Earth Exchange (NEX) team at Ames Research Center has embarked on a collaborative effort involving scientists from NASA, NOAA, JAXA/JMA, KMA/KARI exploring the feasibility of producing EOS-quality research products from operational geostationary satellite systems for climate monitoring. The latest generation of geostationary satellites (Himawari 8/9, GOES-16/17, Fengyun-4, GeoKompsat-2A) carry sensors that closely mimic the spatial and spectral characteristics of widely used polar-orbiting, global monitoring sensors such as MODIS and VIIRS. More importantly, they provide observations as frequently as 5-15 minutes. Data from various currently operating geostationary platforms provide a geo-ring of hyper-temporal, multispectral observations. Such high frequency observations, particularly when combined with data from polar orbiters, offer exciting possibilities for improving the retrieval of geophysical variables by overcoming cloud cover, enable studies of diurnally varying phenomena over land, in the atmosphere and the oceans, and help in operational decision-making in agriculture, hydrology and disaster management. Beyond the weather-focused geo-sensors, a number of new spectrometers are scheduled to be launched in the next five years in geostationary orbit to study atmospheric pollution (GEMS, TEMPO), ocean color (GOCI) and carbon cycling (GeoCARB). This talk will highlight new research, data sets, algorithms and computational platforms that utilize data from geostationary satellites to advance our ability to monitor the environment and create climate resiliency.
How to cite: Nemani, R., Lee, T., Kalluri, S., Ichii, K., and Yeom, J.-M.: GeoNEX: Earth observations from operational geostationary satellite systems, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2463, https://doi.org/10.5194/egusphere-egu2020-2463, 2020.
EGU2020-4418 | Displays | BG2.7
Comparison of the Photochemical Reflectance Index and Solar-induced Fluorescence for Estimating Gross Primary ProductivityQian Zhang and Jinghua Chen
Photochemical reflectance index (PRI) as a proxy for light use efficiency (LUE) has the potential to improve the estimates of vegetation gross primary productivity (GPP) using LUE model. Solar-induced fluorescence (SIF) has increasingly been shown to be a promising approach for directly estimating GPP. However, a number of factors including the view-geometry and environmental variables, which may disassociate PRI and SIF products from photosynthesis, are important for the estimation of GPP, but rarely investigated. In this study, we observed multi-angle SIF and PRI in a maize field during the 2018 growing season, and compared the PRI-based LUE model and SIF-based linear model in estimating GPP. Our results showed that the averaged PRI and SIF using the multi-angle observations performed better than the single angle observed PRI and SIF in estimating LUE and, GPP respectively. We also found that the seasonal GPP dynamics were better captured by the SIF-based linear model (R2=0.50) than the PRI-based LUE model (R2=0.45), while the PRI-based LUE model performed better in estimating the diurnal variations of GPP (R2=0.71). Random forest analysis demonstrated that PAR and RH were of the most importance in the estimation of diurnal GPP variations using the SIF-based and the PRI-based models, respectively. The PRI-based LUE model performed better than the SIF-based model under most environmental conditions, while SIF should be a preference under clear days (Q>2). Thus, our study confirmed the importance of multi-angle observation of SIF and PRI in estimating GPP and LUE, and suggested that the environmental effects should be considered for accurately estimating GPP using SIF and PRI.
How to cite: Zhang, Q. and Chen, J.: Comparison of the Photochemical Reflectance Index and Solar-induced Fluorescence for Estimating Gross Primary Productivity, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4418, https://doi.org/10.5194/egusphere-egu2020-4418, 2020.
Photochemical reflectance index (PRI) as a proxy for light use efficiency (LUE) has the potential to improve the estimates of vegetation gross primary productivity (GPP) using LUE model. Solar-induced fluorescence (SIF) has increasingly been shown to be a promising approach for directly estimating GPP. However, a number of factors including the view-geometry and environmental variables, which may disassociate PRI and SIF products from photosynthesis, are important for the estimation of GPP, but rarely investigated. In this study, we observed multi-angle SIF and PRI in a maize field during the 2018 growing season, and compared the PRI-based LUE model and SIF-based linear model in estimating GPP. Our results showed that the averaged PRI and SIF using the multi-angle observations performed better than the single angle observed PRI and SIF in estimating LUE and, GPP respectively. We also found that the seasonal GPP dynamics were better captured by the SIF-based linear model (R2=0.50) than the PRI-based LUE model (R2=0.45), while the PRI-based LUE model performed better in estimating the diurnal variations of GPP (R2=0.71). Random forest analysis demonstrated that PAR and RH were of the most importance in the estimation of diurnal GPP variations using the SIF-based and the PRI-based models, respectively. The PRI-based LUE model performed better than the SIF-based model under most environmental conditions, while SIF should be a preference under clear days (Q>2). Thus, our study confirmed the importance of multi-angle observation of SIF and PRI in estimating GPP and LUE, and suggested that the environmental effects should be considered for accurately estimating GPP using SIF and PRI.
How to cite: Zhang, Q. and Chen, J.: Comparison of the Photochemical Reflectance Index and Solar-induced Fluorescence for Estimating Gross Primary Productivity, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4418, https://doi.org/10.5194/egusphere-egu2020-4418, 2020.
EGU2020-4582 | Displays | BG2.7
Weed-crop competition and the effect on spectral reflectance and physiological processes as demonstrated in maizeInbal Ronay, Shimrit Maman, Jhonathan E. Ephrath, Hanan Eizenberg, and Dan G. Blumberg
Weed-crop competition is a problem affecting food production leading to significant yield losses in various crops. The use of remote sensing technologies in agriculture enables rapid, non-destructive measurements that can be used for research and agronomical management. Previous research has been conducted characterizing the spectral response of crops to the stress caused by weeds but not much progress has been achieved nor has this been fully connected to physiological processes. Understanding the spectral characteristics of this type of stress is a basic step in advancing precision agricultural technologies for managing weeds in the field. This research focuses on corn (Zea mays) with variable densities of redroot pigweed (Amaranthus retroflexus), a common weed that is known to reduce corn yields. The primary research goal is to characterize the physiological changes that occur in the corn during early growth stages in the presence of weeds of different densities. A secondary goal, is to examine the ability to detect those changes by means of proximal and remote sensing.
During June to August 2019, a field experiment was conducted in Sede – Boker, Israel. Hyperspectral reflectance measurements using an ASD spectrometer,
IR images acquired with a thermal camera and multispectral VIS-NIR images from a mounted UAV were taken. We combined the spectral measurements with physiological measurements (photosynthesis, stomatal conductance and transpiration). The data and results were integrated and analyzed to determine whether physiological differences between variable treatments can be detected by the sensing methods. Results show that these can be observed, detected and we will provide new explanations associating the competition, spectral response and physiological processes.
How to cite: Ronay, I., Maman, S., Ephrath, J. E., Eizenberg, H., and Blumberg, D. G.: Weed-crop competition and the effect on spectral reflectance and physiological processes as demonstrated in maize, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4582, https://doi.org/10.5194/egusphere-egu2020-4582, 2020.
Weed-crop competition is a problem affecting food production leading to significant yield losses in various crops. The use of remote sensing technologies in agriculture enables rapid, non-destructive measurements that can be used for research and agronomical management. Previous research has been conducted characterizing the spectral response of crops to the stress caused by weeds but not much progress has been achieved nor has this been fully connected to physiological processes. Understanding the spectral characteristics of this type of stress is a basic step in advancing precision agricultural technologies for managing weeds in the field. This research focuses on corn (Zea mays) with variable densities of redroot pigweed (Amaranthus retroflexus), a common weed that is known to reduce corn yields. The primary research goal is to characterize the physiological changes that occur in the corn during early growth stages in the presence of weeds of different densities. A secondary goal, is to examine the ability to detect those changes by means of proximal and remote sensing.
During June to August 2019, a field experiment was conducted in Sede – Boker, Israel. Hyperspectral reflectance measurements using an ASD spectrometer,
IR images acquired with a thermal camera and multispectral VIS-NIR images from a mounted UAV were taken. We combined the spectral measurements with physiological measurements (photosynthesis, stomatal conductance and transpiration). The data and results were integrated and analyzed to determine whether physiological differences between variable treatments can be detected by the sensing methods. Results show that these can be observed, detected and we will provide new explanations associating the competition, spectral response and physiological processes.
How to cite: Ronay, I., Maman, S., Ephrath, J. E., Eizenberg, H., and Blumberg, D. G.: Weed-crop competition and the effect on spectral reflectance and physiological processes as demonstrated in maize, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4582, https://doi.org/10.5194/egusphere-egu2020-4582, 2020.
EGU2020-5174 | Displays | BG2.7 | Highlight
Potential of LiDAR for species richness prediction at Mount KilimanjaroAlice Ziegler and the Research Group at the Kilimanjaro
To mitigate the negative effects of biodiversity loss, monitoring of species and functional diversity is an important prerequisite for focused management plans. However, sampling of biodiversity during field campaigns is labor- and cost-intensive. Therefore, researchers often use proxies extracted from three-dimensional and high-resolution airborne LiDAR (Light Detection and Ranging) data of the vegetation for predicting biodiversity measures (e.g. species richness or diversity).
This study aims at (i) assessing the suitability of LiDAR observations to map species richness across 17 taxonomic groups and four trophic levels at Mount Kilimanjaro and (ii) differentiating the predictive power of LiDAR-derived structural information from what is already explained by elevation, thereby comparing the prediction potential across taxa and trophic levels.
The field data for this study were collected across 59 plots along an elevation gradient of about 4000 meters at the southern slopes of Mount Kilimanjaro using established methods to sample the selected groups of organisms. The prediction is accomplished with three consecutive steps: (1) Species richness of each taxon is estimated using Partial Least Square Regression (PLSR) with only elevation and its square as independent variables. (2) The residuals of this model are then predicted using the LiDAR-derived variables and PLSR. (3) This third model is subsequently compared to a model that uses the same LiDAR-derived variables and PLSR to predict species richness directly rather than its residuals. This procedure allows to analyze the impact of elevation versus structure on each taxon. Furthermore, the standardized study design allows to compare the predictability of species richness across the selected groups of organisms.
Results of this study show that most taxa can be best predicted by elevation, even though in most cases the structural models perform almost equally. As expected, results of the model performances of trophic levels indicate, that herbivores are influenced more by structure than decomposers and generalists.
How to cite: Ziegler, A. and the Research Group at the Kilimanjaro: Potential of LiDAR for species richness prediction at Mount Kilimanjaro , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5174, https://doi.org/10.5194/egusphere-egu2020-5174, 2020.
To mitigate the negative effects of biodiversity loss, monitoring of species and functional diversity is an important prerequisite for focused management plans. However, sampling of biodiversity during field campaigns is labor- and cost-intensive. Therefore, researchers often use proxies extracted from three-dimensional and high-resolution airborne LiDAR (Light Detection and Ranging) data of the vegetation for predicting biodiversity measures (e.g. species richness or diversity).
This study aims at (i) assessing the suitability of LiDAR observations to map species richness across 17 taxonomic groups and four trophic levels at Mount Kilimanjaro and (ii) differentiating the predictive power of LiDAR-derived structural information from what is already explained by elevation, thereby comparing the prediction potential across taxa and trophic levels.
The field data for this study were collected across 59 plots along an elevation gradient of about 4000 meters at the southern slopes of Mount Kilimanjaro using established methods to sample the selected groups of organisms. The prediction is accomplished with three consecutive steps: (1) Species richness of each taxon is estimated using Partial Least Square Regression (PLSR) with only elevation and its square as independent variables. (2) The residuals of this model are then predicted using the LiDAR-derived variables and PLSR. (3) This third model is subsequently compared to a model that uses the same LiDAR-derived variables and PLSR to predict species richness directly rather than its residuals. This procedure allows to analyze the impact of elevation versus structure on each taxon. Furthermore, the standardized study design allows to compare the predictability of species richness across the selected groups of organisms.
Results of this study show that most taxa can be best predicted by elevation, even though in most cases the structural models perform almost equally. As expected, results of the model performances of trophic levels indicate, that herbivores are influenced more by structure than decomposers and generalists.
How to cite: Ziegler, A. and the Research Group at the Kilimanjaro: Potential of LiDAR for species richness prediction at Mount Kilimanjaro , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5174, https://doi.org/10.5194/egusphere-egu2020-5174, 2020.
EGU2020-6059 | Displays | BG2.7
Remote sensing-aid assessment of wetlands in central MalawiEmmanuel Ogunyomi, Byongjun Hwang, and Adrian Wood
Many areas in Malawi undergo extreme seasonality: floods in the wet season and drought in the dry season. Each year, this extreme seasonality poses formidable challenges for local farmers to sustain their crops. Often in the dry season, farmers use the water in the surrounding seasonal wetlands (dambos) for small-scale irrigation to supplement their rainy season harvest. In Malawi, the agricultural use of wetland is growing year by year and these areas play significant roles in regulating food price shocks and price. Such intensive use of wetlands can negatively affect the sustainability of wetland eco-system and their crop production, with communities even affected by the drying up of wells. Farmers, especially small-scale farmers, will face even more challenges for sustaining wetland production, as climate changes cause more frequent occurrence of droughts as Malawi has experienced in recent years. With the increasingly intensive use of these seasonal wetlands for agricultural purpose and the expansion of wetland degradation generally across the country, more attention is required toward effective management of these wetlands through identification, mapping, monitoring and data analysis. To achieve the sustainable use of these seasonal wetlands, it is essential to establish systematic monitoring and assessment procedures. Widely used assessment protocols (i.e., WET-Health) which evaluate the wetlands based on physical indicators such as land cover, hydrology, geomorphology, soil organic matter and natural vegetation have been successfully implemented in South Africa. However, obtaining those indicators across the full length of an individual wetland, let alone all wetlands in one district in Malawi, is labour intensive and time-consuming and difficult to complete. In this research, we utilise both unmanned aerial vehicle (UAV) and satellite imageries. These data sources are being tested in nine different seasonal wetlands in central Malawi to provide an accurate derivation of key indicators such as gully formation, sedimentation, water extent, changes in land use and natural vegetation. Additionally, using satellite imageries and GIS, the condition of each individual wetland has been quantified, with land cover and the extent of inundation determined through multi-temporal data analysis. Our results can be applied across a larger area, i.e. several districts to help identify where more detailed ground assessment is needed and technical support required to improve wetland management, feeding into both policy and technical guidance which can help sustain the range of ecosystems services of these important areas.
How to cite: Ogunyomi, E., Hwang, B., and Wood, A.: Remote sensing-aid assessment of wetlands in central Malawi, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6059, https://doi.org/10.5194/egusphere-egu2020-6059, 2020.
Many areas in Malawi undergo extreme seasonality: floods in the wet season and drought in the dry season. Each year, this extreme seasonality poses formidable challenges for local farmers to sustain their crops. Often in the dry season, farmers use the water in the surrounding seasonal wetlands (dambos) for small-scale irrigation to supplement their rainy season harvest. In Malawi, the agricultural use of wetland is growing year by year and these areas play significant roles in regulating food price shocks and price. Such intensive use of wetlands can negatively affect the sustainability of wetland eco-system and their crop production, with communities even affected by the drying up of wells. Farmers, especially small-scale farmers, will face even more challenges for sustaining wetland production, as climate changes cause more frequent occurrence of droughts as Malawi has experienced in recent years. With the increasingly intensive use of these seasonal wetlands for agricultural purpose and the expansion of wetland degradation generally across the country, more attention is required toward effective management of these wetlands through identification, mapping, monitoring and data analysis. To achieve the sustainable use of these seasonal wetlands, it is essential to establish systematic monitoring and assessment procedures. Widely used assessment protocols (i.e., WET-Health) which evaluate the wetlands based on physical indicators such as land cover, hydrology, geomorphology, soil organic matter and natural vegetation have been successfully implemented in South Africa. However, obtaining those indicators across the full length of an individual wetland, let alone all wetlands in one district in Malawi, is labour intensive and time-consuming and difficult to complete. In this research, we utilise both unmanned aerial vehicle (UAV) and satellite imageries. These data sources are being tested in nine different seasonal wetlands in central Malawi to provide an accurate derivation of key indicators such as gully formation, sedimentation, water extent, changes in land use and natural vegetation. Additionally, using satellite imageries and GIS, the condition of each individual wetland has been quantified, with land cover and the extent of inundation determined through multi-temporal data analysis. Our results can be applied across a larger area, i.e. several districts to help identify where more detailed ground assessment is needed and technical support required to improve wetland management, feeding into both policy and technical guidance which can help sustain the range of ecosystems services of these important areas.
How to cite: Ogunyomi, E., Hwang, B., and Wood, A.: Remote sensing-aid assessment of wetlands in central Malawi, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6059, https://doi.org/10.5194/egusphere-egu2020-6059, 2020.
EGU2020-6673 | Displays | BG2.7
Estimation and Analysis of Regional Evapotranspiration in the eastern province of China with Remote Sensing dataWenyu Wu
Evapotranspiration(ET) is a critical component of the land surface energy balance system and hydrologic processes. Analysis of spatiotemporal variations and influencing factors of ET is of great importance to evaluate the growing environment for crops and to effectively use water resources, a critical base for production in research region. The traditional methods are based on point measurement, while the remote sensing provides extensive surface information. The development of remote sensing has promoted the study of regional ET.SEBAL model is based on Surface Energy Balance Algorithm for Land and its physical meaning is clear. This model was developed to show the spatial variability of surface evapotranspiration. SEBAL model was capable of being applied to large regional areas in conjunction with Moderate-resolution Imaging Spectroradiometer (MODIS) data products.According to the shortcomings of the traditional method of calculating ET, based on SEBAL model, the daily regional evapotranspiration of Anhui Province was estimated with 1km spatial resolution by using MODIS products and a few of meteorological data(temperature, wind speed) collected in meteorological stations distributed over the study area.Because of lacking observed data from the lysimeter, the results of P-M were compared with the estimation results based on SEBAL model in this research.The comparison of the evapotranspiration estimated with MODIS products and field observation showed that the former results were lower than the latter results on the whole, and demonstrated that there existed certain trend in correlation between the two results, the average relative error was different at different land surface.The ET computation method based on Remote Sensing proves that this model has strong practicality in Anhui, and it will show great potential in this field with more optimizing the model parameters.
How to cite: Wu, W.: Estimation and Analysis of Regional Evapotranspiration in the eastern province of China with Remote Sensing data, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6673, https://doi.org/10.5194/egusphere-egu2020-6673, 2020.
Evapotranspiration(ET) is a critical component of the land surface energy balance system and hydrologic processes. Analysis of spatiotemporal variations and influencing factors of ET is of great importance to evaluate the growing environment for crops and to effectively use water resources, a critical base for production in research region. The traditional methods are based on point measurement, while the remote sensing provides extensive surface information. The development of remote sensing has promoted the study of regional ET.SEBAL model is based on Surface Energy Balance Algorithm for Land and its physical meaning is clear. This model was developed to show the spatial variability of surface evapotranspiration. SEBAL model was capable of being applied to large regional areas in conjunction with Moderate-resolution Imaging Spectroradiometer (MODIS) data products.According to the shortcomings of the traditional method of calculating ET, based on SEBAL model, the daily regional evapotranspiration of Anhui Province was estimated with 1km spatial resolution by using MODIS products and a few of meteorological data(temperature, wind speed) collected in meteorological stations distributed over the study area.Because of lacking observed data from the lysimeter, the results of P-M were compared with the estimation results based on SEBAL model in this research.The comparison of the evapotranspiration estimated with MODIS products and field observation showed that the former results were lower than the latter results on the whole, and demonstrated that there existed certain trend in correlation between the two results, the average relative error was different at different land surface.The ET computation method based on Remote Sensing proves that this model has strong practicality in Anhui, and it will show great potential in this field with more optimizing the model parameters.
How to cite: Wu, W.: Estimation and Analysis of Regional Evapotranspiration in the eastern province of China with Remote Sensing data, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6673, https://doi.org/10.5194/egusphere-egu2020-6673, 2020.
EGU2020-9039 | Displays | BG2.7
Spatio-temporal variation in NPP and correlation analysis with aerosol loading and PAR in China during 2001-2017Xin Li and Weiming Cheng
The net primary productivity (NPP) reflects the growth or production of terrestrial vegetation and plays an important role in the carbon cycle on the earth. It quantifies the difference between the organic matter produced by photosynthesis and the loss of maintenance and growth respiration. The investigation of the spatio-temporal variation in NPP is significant for monitoring plant photosynthesis and carbon uptake in terrestrial ecosystems. In this study, the variability and trend of NPP in China during 2001-2017 are analysed using level 4 MODIS product (MOD17A2H). Additionally, to explore whether the NPP change in recent decades are related with the photosynthetically active radiation (PAR) variation caused by increasing aerosol loading, the correlation between NPP, PAR and aerosol optical depth (AOD) are analysed at national, regional, and pixel scales. The results show that the annual mean NPP shows higher values in the southeast than in the northwest. The highest NPP level above 2.5 gCm-2day-1 is mainly distributed in tropical humid regions, including Zhejiang, Fujian, Guangdong and western Yunnan. The NPP increases with an amplitude of 0.131 gCm-2day-1 during the study period. The forests have higher mean levels of NPP (1.808 gCm-2day-1) and larger increasing magnitudes (0.35 gCm-2day-1) than those of croplands and grasslands. The NPP and AOD show a negative correlation (-0.6<R<-0.2) at a significance level of 0.05 over the middle area of China. The PAR direct and diffuse components generally have positive (0<RPARdir_NPP<0.6) and negative correlations (-0.6<RPARdif_NPP<0) with NPP, respectively, in most of China except the northeast and Tibetan Plateau. The NPP have stronger correlations (0.215 and -0.218) with the direct and diffuse PAR in forests than in croplands and grasslands, implying that NPP is more sensitive to the change in PAR in forests than in other vegetation cover types.
How to cite: Li, X. and Cheng, W.: Spatio-temporal variation in NPP and correlation analysis with aerosol loading and PAR in China during 2001-2017, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9039, https://doi.org/10.5194/egusphere-egu2020-9039, 2020.
The net primary productivity (NPP) reflects the growth or production of terrestrial vegetation and plays an important role in the carbon cycle on the earth. It quantifies the difference between the organic matter produced by photosynthesis and the loss of maintenance and growth respiration. The investigation of the spatio-temporal variation in NPP is significant for monitoring plant photosynthesis and carbon uptake in terrestrial ecosystems. In this study, the variability and trend of NPP in China during 2001-2017 are analysed using level 4 MODIS product (MOD17A2H). Additionally, to explore whether the NPP change in recent decades are related with the photosynthetically active radiation (PAR) variation caused by increasing aerosol loading, the correlation between NPP, PAR and aerosol optical depth (AOD) are analysed at national, regional, and pixel scales. The results show that the annual mean NPP shows higher values in the southeast than in the northwest. The highest NPP level above 2.5 gCm-2day-1 is mainly distributed in tropical humid regions, including Zhejiang, Fujian, Guangdong and western Yunnan. The NPP increases with an amplitude of 0.131 gCm-2day-1 during the study period. The forests have higher mean levels of NPP (1.808 gCm-2day-1) and larger increasing magnitudes (0.35 gCm-2day-1) than those of croplands and grasslands. The NPP and AOD show a negative correlation (-0.6<R<-0.2) at a significance level of 0.05 over the middle area of China. The PAR direct and diffuse components generally have positive (0<RPARdir_NPP<0.6) and negative correlations (-0.6<RPARdif_NPP<0) with NPP, respectively, in most of China except the northeast and Tibetan Plateau. The NPP have stronger correlations (0.215 and -0.218) with the direct and diffuse PAR in forests than in croplands and grasslands, implying that NPP is more sensitive to the change in PAR in forests than in other vegetation cover types.
How to cite: Li, X. and Cheng, W.: Spatio-temporal variation in NPP and correlation analysis with aerosol loading and PAR in China during 2001-2017, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9039, https://doi.org/10.5194/egusphere-egu2020-9039, 2020.
EGU2020-10014 | Displays | BG2.7
On the surface apparent reflectance exploitation: Entangled Solar Induced Fluorescence emission and aerosol scattering effects at oxygen absorption regionsNeus Sabater, Pekka Kolmonen, Luis Alonso, Jorge Vicent, José Moreno, and Antti Arola
Monitoring vegetation photosynthetic activity and its link with the carbon cycle at a global scale is a leading breakthrough that the scientific community has been seeking in recent years. Pursuing this goal, one of the most important advances in the last decade has been the measurement of the Solar Induced Fluorescence (SIF) at a satellite scale. Current satellite-derived SIF estimations provide SIF measured at certain specific wavelengths depending on the retrieval strategy and the instrument capabilities. However, for the time being, no global observations of the total spectrally resolved and integrated SIF signal have been yet achieved. In a near-future context, spectrally resolved SIF estimations will be provided by missions such as the FLuorescence EXplorer (FLEX) from the European Space Agency.
When disentangling the total SIF contribution, emitted between 650-800 nm, from the acquired satellite signal, molecular and aerosol absorption and scattering effects must be carefully accounted for. Particularly, within the oxygen absorption features, the characterization of the aerosol scattering effects represents the most critical step prior to the SIF estimation.
In the context of the FLEX/Sentinel-3 tandem mission concept, this work presents a novel technique that refines any a priori aerosol characterization process through the exploitation of the high spectral resolution surface apparent reflectance signal at the oxygen absorption regions. Within the absorption features, SIF contribution on satellite-derived surface apparent reflectance generates a characteristic peaky spectrum. However, the shape of these peaks can be simultaneously distorted through the atmospheric correction process due to inaccuracies in the aerosol characterization among other secondary sources. Inaccuracies in the estimation of aerosol optical thickness, Angstrom exponent, asymmetry of the scattering or single scattering albedo translate into characteristic distortions in the shape of the peaks in the apparent reflectance. This particular behaviour allows inferring the magnitude of the errors and correcting them. The presented technique improves the accuracy of any a priori aerosol retrieval.
Authors expect this study to be also of interest to other hyperspectral missions when exploiting, at high spectral resolution, information from oxygen absorption regions.
How to cite: Sabater, N., Kolmonen, P., Alonso, L., Vicent, J., Moreno, J., and Arola, A.: On the surface apparent reflectance exploitation: Entangled Solar Induced Fluorescence emission and aerosol scattering effects at oxygen absorption regions, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10014, https://doi.org/10.5194/egusphere-egu2020-10014, 2020.
Monitoring vegetation photosynthetic activity and its link with the carbon cycle at a global scale is a leading breakthrough that the scientific community has been seeking in recent years. Pursuing this goal, one of the most important advances in the last decade has been the measurement of the Solar Induced Fluorescence (SIF) at a satellite scale. Current satellite-derived SIF estimations provide SIF measured at certain specific wavelengths depending on the retrieval strategy and the instrument capabilities. However, for the time being, no global observations of the total spectrally resolved and integrated SIF signal have been yet achieved. In a near-future context, spectrally resolved SIF estimations will be provided by missions such as the FLuorescence EXplorer (FLEX) from the European Space Agency.
When disentangling the total SIF contribution, emitted between 650-800 nm, from the acquired satellite signal, molecular and aerosol absorption and scattering effects must be carefully accounted for. Particularly, within the oxygen absorption features, the characterization of the aerosol scattering effects represents the most critical step prior to the SIF estimation.
In the context of the FLEX/Sentinel-3 tandem mission concept, this work presents a novel technique that refines any a priori aerosol characterization process through the exploitation of the high spectral resolution surface apparent reflectance signal at the oxygen absorption regions. Within the absorption features, SIF contribution on satellite-derived surface apparent reflectance generates a characteristic peaky spectrum. However, the shape of these peaks can be simultaneously distorted through the atmospheric correction process due to inaccuracies in the aerosol characterization among other secondary sources. Inaccuracies in the estimation of aerosol optical thickness, Angstrom exponent, asymmetry of the scattering or single scattering albedo translate into characteristic distortions in the shape of the peaks in the apparent reflectance. This particular behaviour allows inferring the magnitude of the errors and correcting them. The presented technique improves the accuracy of any a priori aerosol retrieval.
Authors expect this study to be also of interest to other hyperspectral missions when exploiting, at high spectral resolution, information from oxygen absorption regions.
How to cite: Sabater, N., Kolmonen, P., Alonso, L., Vicent, J., Moreno, J., and Arola, A.: On the surface apparent reflectance exploitation: Entangled Solar Induced Fluorescence emission and aerosol scattering effects at oxygen absorption regions, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10014, https://doi.org/10.5194/egusphere-egu2020-10014, 2020.
EGU2020-12577 | Displays | BG2.7
Time series 30m resolution leaf area index estimation and vegetation change monitoring in Saihanba, ChinaHongmin Zhou, Guodong Zhang, Changjing Wang, and Jindi Wang
Leaf area index (LAI) is one of the most important biophysical variables for regulating the physiological processes of vegetation canopy. Time series high-resolution LAI data is critical for vegetation growth monitoring, surface process simulation and global change research. However, there are no high-resolution LAI data products that are continuous in time and space. In this paper, we use MODIS LAI products and Landsat surface reflectance data to generate time series high-resolution LAI datasets from 2000 to 2018 in Saihanba based on the ensemble kalman filter, and uses time-series LAI data to monitor surface vegetation changes according to the Prophet model. Firstly, the multi-step Savitzky–Golay filtering algorithm is used to smooth the MODIS LAI data, and the upper envelope of time series LAI is generated. A dynamic model is constructed according to the trend of LAI upper envelope to provide the short-range forecast of LAI. Then the ground measured LAI data and the corresponding Landsat reflectance data are used to train a Back Propagation neural network. High-resolution LAI data from BP model is used to update the dynamic model in real time to generate high-resolution time series LAI data based on EnKF. Finally, the time series LAI data is used as the input of Prophet deep learning model to obtain the LAI time series prediction values of a certain year. Comparing the prediction results with the LAI of current year, the correlation coefficient and the root mean square error distribution maps can be obtained, a support vector machine method is used to classify the disturbed pixels and the normal pixels. The LAI time series estimation has a high accuracy of R²larger than 0.90, and RMSE less than 0.54. The disturbance monitoring results indicate that vegetation in 2009, 2010, 2013, 2014, 2015, 2017 is seriously disturbed, Variation of meteorological conditions and deforest contributes heavily to the disturbance.
How to cite: Zhou, H., Zhang, G., Wang, C., and Wang, J.: Time series 30m resolution leaf area index estimation and vegetation change monitoring in Saihanba, China, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12577, https://doi.org/10.5194/egusphere-egu2020-12577, 2020.
Leaf area index (LAI) is one of the most important biophysical variables for regulating the physiological processes of vegetation canopy. Time series high-resolution LAI data is critical for vegetation growth monitoring, surface process simulation and global change research. However, there are no high-resolution LAI data products that are continuous in time and space. In this paper, we use MODIS LAI products and Landsat surface reflectance data to generate time series high-resolution LAI datasets from 2000 to 2018 in Saihanba based on the ensemble kalman filter, and uses time-series LAI data to monitor surface vegetation changes according to the Prophet model. Firstly, the multi-step Savitzky–Golay filtering algorithm is used to smooth the MODIS LAI data, and the upper envelope of time series LAI is generated. A dynamic model is constructed according to the trend of LAI upper envelope to provide the short-range forecast of LAI. Then the ground measured LAI data and the corresponding Landsat reflectance data are used to train a Back Propagation neural network. High-resolution LAI data from BP model is used to update the dynamic model in real time to generate high-resolution time series LAI data based on EnKF. Finally, the time series LAI data is used as the input of Prophet deep learning model to obtain the LAI time series prediction values of a certain year. Comparing the prediction results with the LAI of current year, the correlation coefficient and the root mean square error distribution maps can be obtained, a support vector machine method is used to classify the disturbed pixels and the normal pixels. The LAI time series estimation has a high accuracy of R²larger than 0.90, and RMSE less than 0.54. The disturbance monitoring results indicate that vegetation in 2009, 2010, 2013, 2014, 2015, 2017 is seriously disturbed, Variation of meteorological conditions and deforest contributes heavily to the disturbance.
How to cite: Zhou, H., Zhang, G., Wang, C., and Wang, J.: Time series 30m resolution leaf area index estimation and vegetation change monitoring in Saihanba, China, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12577, https://doi.org/10.5194/egusphere-egu2020-12577, 2020.
EGU2020-15832 | Displays | BG2.7
Evaluating the impact of different spaceborne land cover distributions on isoprene emissions and their trends using the MEGAN model.Beata Opacka, Jean-François Müller, Jenny Stavrakou, Maite Bauwens, and Alex B. Guenther
The biogenic volatile organic compounds (BVOCs) are emitted globally at about 1100 Tg per year of which almost half of the share is entailed by isoprene. Isoprene is highly reactive in the atmosphere, and its degradation products impact the atmospheric composition through the generation of ozone (in presence of NOx typical of polluted areas) and secondary organic aerosols, and may pose a risk to human health. Isoprene is mainly emitted by plant foliage, with trees being the major contributors due to their relatively high emission factors.
In the modelling framework of biosphere-atmosphere interactions, the representation of land cover and vegetation distributions is a key aspect. We use the state-of-the-art biogenic emission model MEGAN (Guenther et al. 2012) coupled with a multi-layer canopy model MOHYCAN (Müller et al. 2008) to estimate isoprene emissions on the global scale. In its current standard version, the model uses a static plant functional type (PFT) distribution obtained from the Community Land Model (CLM4) for 2000. Our objective is to replace the static map by time-dependent PFT distributions based on satellite global land cover maps, and estimate the resulting biogenic emissions over 2001-2018. To this purpose, we use either the MODIS land cover dataset (Friedl and Sulla-Menashe, 2019), or the MODIS dataset modified to account for tree cover changes from Hansen et al. (2013). Comparisons with the ESA-CCI dataset (Poulter et al. 2015) and the FAOSTAT (www.fao.org) database are performed and the trends over large forested regions are discussed. The comparisons show a large variability in the representation of the tree cover by the available remotely-sensed datasets, leading to different spatial distributions and temporal variability in the estimated isoprene emissions. This gives a measure of the uncertainty associated to this input parameter. This work is conducted in the frame of the ALBERI project that aims at assessing links between biogenic emissions and remotely-sensed photosynthesis indicators, funded by BELSPO through the STEREO III programme.
How to cite: Opacka, B., Müller, J.-F., Stavrakou, J., Bauwens, M., and Guenther, A. B.: Evaluating the impact of different spaceborne land cover distributions on isoprene emissions and their trends using the MEGAN model., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-15832, https://doi.org/10.5194/egusphere-egu2020-15832, 2020.
The biogenic volatile organic compounds (BVOCs) are emitted globally at about 1100 Tg per year of which almost half of the share is entailed by isoprene. Isoprene is highly reactive in the atmosphere, and its degradation products impact the atmospheric composition through the generation of ozone (in presence of NOx typical of polluted areas) and secondary organic aerosols, and may pose a risk to human health. Isoprene is mainly emitted by plant foliage, with trees being the major contributors due to their relatively high emission factors.
In the modelling framework of biosphere-atmosphere interactions, the representation of land cover and vegetation distributions is a key aspect. We use the state-of-the-art biogenic emission model MEGAN (Guenther et al. 2012) coupled with a multi-layer canopy model MOHYCAN (Müller et al. 2008) to estimate isoprene emissions on the global scale. In its current standard version, the model uses a static plant functional type (PFT) distribution obtained from the Community Land Model (CLM4) for 2000. Our objective is to replace the static map by time-dependent PFT distributions based on satellite global land cover maps, and estimate the resulting biogenic emissions over 2001-2018. To this purpose, we use either the MODIS land cover dataset (Friedl and Sulla-Menashe, 2019), or the MODIS dataset modified to account for tree cover changes from Hansen et al. (2013). Comparisons with the ESA-CCI dataset (Poulter et al. 2015) and the FAOSTAT (www.fao.org) database are performed and the trends over large forested regions are discussed. The comparisons show a large variability in the representation of the tree cover by the available remotely-sensed datasets, leading to different spatial distributions and temporal variability in the estimated isoprene emissions. This gives a measure of the uncertainty associated to this input parameter. This work is conducted in the frame of the ALBERI project that aims at assessing links between biogenic emissions and remotely-sensed photosynthesis indicators, funded by BELSPO through the STEREO III programme.
How to cite: Opacka, B., Müller, J.-F., Stavrakou, J., Bauwens, M., and Guenther, A. B.: Evaluating the impact of different spaceborne land cover distributions on isoprene emissions and their trends using the MEGAN model., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-15832, https://doi.org/10.5194/egusphere-egu2020-15832, 2020.
EGU2020-10633 | Displays | BG2.7
Application of Copernicus Global Land Service vegetation parameters and ESA soil moisture data to analyze changes in vegetation with respect to the CORINE databaseHajnalka Breuer and Amanda Imola Szabó
Vegetation and soil moisture monitoring are complicated and expensive with in-situ measurements thus remote sensing is a favorable tool to monitor changes in the land surface. Under the supervision of the European Environment Agency and the Joint Research Centre the Copernicus Global Land Service (GLS) became a prominent service providing satellite data for climatological purposes. In this study the Copernicus GLS provided leaf area index (LAI) and dry matter productivity (DMP) data are used at 1 km resolution over Europe. Based on the LAI, growing season start and length is also determined. Around 18 years of data (2000-2018) is analyzed to look for changes in vegetation. Using the CORINE land cover categories changes in vegetation parameters are also analyzed by differentiating between land cover categories. Furthermore, the ESA (European Space Agency) Climate Change Initiative soil moisture data is coupled with the changes in vegetation parameters. In the case of soil moisture, the data is available at a 0.25° resolution, therefore vegetation parameters are interpolated accordingly.
Initial results show, that the maximum value of LAI increases the most in North Europe, the increase is almost linear. Changes in LAI derived start of growing season shows an earlier start in Central Europe and a later start in North Europe. The connection between vegetation parameters and soil moisture varies based on land cover and location. The strongest correlation is found for summer soil moisture and autumn LAI for arable lands and a negative correlation is found for shrublands.
How to cite: Breuer, H. and Szabó, A. I.: Application of Copernicus Global Land Service vegetation parameters and ESA soil moisture data to analyze changes in vegetation with respect to the CORINE database, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10633, https://doi.org/10.5194/egusphere-egu2020-10633, 2020.
Vegetation and soil moisture monitoring are complicated and expensive with in-situ measurements thus remote sensing is a favorable tool to monitor changes in the land surface. Under the supervision of the European Environment Agency and the Joint Research Centre the Copernicus Global Land Service (GLS) became a prominent service providing satellite data for climatological purposes. In this study the Copernicus GLS provided leaf area index (LAI) and dry matter productivity (DMP) data are used at 1 km resolution over Europe. Based on the LAI, growing season start and length is also determined. Around 18 years of data (2000-2018) is analyzed to look for changes in vegetation. Using the CORINE land cover categories changes in vegetation parameters are also analyzed by differentiating between land cover categories. Furthermore, the ESA (European Space Agency) Climate Change Initiative soil moisture data is coupled with the changes in vegetation parameters. In the case of soil moisture, the data is available at a 0.25° resolution, therefore vegetation parameters are interpolated accordingly.
Initial results show, that the maximum value of LAI increases the most in North Europe, the increase is almost linear. Changes in LAI derived start of growing season shows an earlier start in Central Europe and a later start in North Europe. The connection between vegetation parameters and soil moisture varies based on land cover and location. The strongest correlation is found for summer soil moisture and autumn LAI for arable lands and a negative correlation is found for shrublands.
How to cite: Breuer, H. and Szabó, A. I.: Application of Copernicus Global Land Service vegetation parameters and ESA soil moisture data to analyze changes in vegetation with respect to the CORINE database, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10633, https://doi.org/10.5194/egusphere-egu2020-10633, 2020.
EGU2020-13332 | Displays | BG2.7
How valuable are citizen science data for a space-borne crop growth monitoring? – The reliability of self-appraisalsSina C. Truckenbrodt, Friederike Klan, Erik Borg, Klaus-Dieter Missling, and Christiane C. Schmullius
Space-borne Earth Observation (EO) data depicting vegetation covered land surfaces contain insufficient information for an unambiguous interpretation of the spectral signal in terms of variables that characterize the vegetation state (e.g., leaf area index, leaf chlorophyll content and proportion of senescent material). For the retrieval of vegetation properties from EO data, an optimal estimate of the state variables needs to be found. The uncertainty of such an estimate can be reduced by combining EO data and in situ data. Information provided by citizens represents a valuable and mostly inexpensive source for in situ data. Since the quality of such data can be diverse, the consideration of uncertainties is of great importance.
In this contribution, we present a concept for the elicitation of local knowledge from citizens with respect to the application of management practices (e.g., sowing and harvesting date, irrigation) and the instantaneous state of crops. The concept includes the acquisition of in situ data as well as an uncertainty assessment (precision and/or accuracy). The latter involves a profiling in which inherent uncertainties are quantified for individual citizens. This concept was tested for agricultural fields of the Durable Environmental Multidisciplinary Monitoring Information Network (DEMMIN) test site in Northeast Germany. Within the frame of several field seminars, students were requested to assess management practices and the instantaneous state of crops. Furthermore, they assessed their own ability to create valid data. They filled in pseudonymized questionnaires from which we created corresponding datasets. At the same day, field data were collected with appropriate equipment and can be used as reference against which student estimates can be compared. The level of compliance between estimated and measured data was determined on an individual basis.
The results of this analysis will be presented. Conclusions will be drawn regarding the ability of the students to evaluate their own skills. In addition, we will demonstrate an approach for a digital ascertainment of in situ data. In the future, this approach will be used to collect in situ data for the setup of refined prior information within the frame of the Earth Observation Land Data Assimilation System (EO-LDAS).
How to cite: Truckenbrodt, S. C., Klan, F., Borg, E., Missling, K.-D., and Schmullius, C. C.: How valuable are citizen science data for a space-borne crop growth monitoring? – The reliability of self-appraisals, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13332, https://doi.org/10.5194/egusphere-egu2020-13332, 2020.
Space-borne Earth Observation (EO) data depicting vegetation covered land surfaces contain insufficient information for an unambiguous interpretation of the spectral signal in terms of variables that characterize the vegetation state (e.g., leaf area index, leaf chlorophyll content and proportion of senescent material). For the retrieval of vegetation properties from EO data, an optimal estimate of the state variables needs to be found. The uncertainty of such an estimate can be reduced by combining EO data and in situ data. Information provided by citizens represents a valuable and mostly inexpensive source for in situ data. Since the quality of such data can be diverse, the consideration of uncertainties is of great importance.
In this contribution, we present a concept for the elicitation of local knowledge from citizens with respect to the application of management practices (e.g., sowing and harvesting date, irrigation) and the instantaneous state of crops. The concept includes the acquisition of in situ data as well as an uncertainty assessment (precision and/or accuracy). The latter involves a profiling in which inherent uncertainties are quantified for individual citizens. This concept was tested for agricultural fields of the Durable Environmental Multidisciplinary Monitoring Information Network (DEMMIN) test site in Northeast Germany. Within the frame of several field seminars, students were requested to assess management practices and the instantaneous state of crops. Furthermore, they assessed their own ability to create valid data. They filled in pseudonymized questionnaires from which we created corresponding datasets. At the same day, field data were collected with appropriate equipment and can be used as reference against which student estimates can be compared. The level of compliance between estimated and measured data was determined on an individual basis.
The results of this analysis will be presented. Conclusions will be drawn regarding the ability of the students to evaluate their own skills. In addition, we will demonstrate an approach for a digital ascertainment of in situ data. In the future, this approach will be used to collect in situ data for the setup of refined prior information within the frame of the Earth Observation Land Data Assimilation System (EO-LDAS).
How to cite: Truckenbrodt, S. C., Klan, F., Borg, E., Missling, K.-D., and Schmullius, C. C.: How valuable are citizen science data for a space-borne crop growth monitoring? – The reliability of self-appraisals, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13332, https://doi.org/10.5194/egusphere-egu2020-13332, 2020.
EGU2020-18493 | Displays | BG2.7
Learning main drivers of crop dynamics and production in EuropeAnna Mateo Sanchis, Maria Piles, Julia Amorós López, Jordi Muñoz Marí, and Gustau Camps Valls
An expanding world population combined with challenges brought by climate change pose totally new scenarios for managing agricultural fields and crop production. In the last decades, a variety of ground-based, modeled, and Earth observation (EO) data have been used to characterize crop dynamics and, ultimately, estimate yield. Typically, optical vegetation indices and, in particular, metrics like their maximum peak or integral during the growing season are exploited to estimated crop yield. Also, most studies are focused on large areas with homogeneous agricultural landscapes in which cultivation/production is centred in a unique main crop (e.g. the U.S. Corn Belt or the Indian Wheat Belt).
In this study, we study the transportability of machine learning models for crop yield estimation across different regions and the relative relevance of agro-ecological drivers (input features). We use a previous methodology presented in [1] that synergistically combined optical and microwave vegetation data for crop yield prediction. We apply this methodology, which was trained in the homogeneous area of the US Corn Belt, to the highly heterogeneous agricultural landscapes across Europe. The fragmented and diverse European agro-ecosystems poses a greater challenge for the combination of multi-sensor data, and we need to establish first which is the set of variables providing the best skill for yield estimation of the main crops grown in Europe (corn, barley and wheat) under this new scenario. Subsequently, we study whether these variables are also able to capture potential disruptions on crop dynamics deriving from extreme events and their influence in final crop production.
[1] Synergistic Integration of Optical and Microwave Satellite Data for Crop Yield Estimation. Anna Mateo-Sanchis, Maria Piles, Jordi Muñoz-Marí, Jose E. Adsuara, Adrián Pérez-Suay and Gustau Camps-Valls. Remote Sensing of Environment 234:111460, 2019.
How to cite: Mateo Sanchis, A., Piles, M., Amorós López, J., Muñoz Marí, J., and Camps Valls, G.: Learning main drivers of crop dynamics and production in Europe, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18493, https://doi.org/10.5194/egusphere-egu2020-18493, 2020.
An expanding world population combined with challenges brought by climate change pose totally new scenarios for managing agricultural fields and crop production. In the last decades, a variety of ground-based, modeled, and Earth observation (EO) data have been used to characterize crop dynamics and, ultimately, estimate yield. Typically, optical vegetation indices and, in particular, metrics like their maximum peak or integral during the growing season are exploited to estimated crop yield. Also, most studies are focused on large areas with homogeneous agricultural landscapes in which cultivation/production is centred in a unique main crop (e.g. the U.S. Corn Belt or the Indian Wheat Belt).
In this study, we study the transportability of machine learning models for crop yield estimation across different regions and the relative relevance of agro-ecological drivers (input features). We use a previous methodology presented in [1] that synergistically combined optical and microwave vegetation data for crop yield prediction. We apply this methodology, which was trained in the homogeneous area of the US Corn Belt, to the highly heterogeneous agricultural landscapes across Europe. The fragmented and diverse European agro-ecosystems poses a greater challenge for the combination of multi-sensor data, and we need to establish first which is the set of variables providing the best skill for yield estimation of the main crops grown in Europe (corn, barley and wheat) under this new scenario. Subsequently, we study whether these variables are also able to capture potential disruptions on crop dynamics deriving from extreme events and their influence in final crop production.
[1] Synergistic Integration of Optical and Microwave Satellite Data for Crop Yield Estimation. Anna Mateo-Sanchis, Maria Piles, Jordi Muñoz-Marí, Jose E. Adsuara, Adrián Pérez-Suay and Gustau Camps-Valls. Remote Sensing of Environment 234:111460, 2019.
How to cite: Mateo Sanchis, A., Piles, M., Amorós López, J., Muñoz Marí, J., and Camps Valls, G.: Learning main drivers of crop dynamics and production in Europe, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18493, https://doi.org/10.5194/egusphere-egu2020-18493, 2020.
EGU2020-19003 | Displays | BG2.7
Modelling understory light availability in a heterogeneous landscape using drone-derived structural parameters and a 3D radiative transfer modelDominic Fawcett, Jonathan Bennie, and Karen Anderson
The light environment within vegetated landscapes is a key driver of microclimate, creating varied habitats over small spatial extents and controls the distribution of understory plant species. Modelling spatial variations of light at these scales requires finely resolved (< 1 m) information on topography and canopy properties. We demonstrate an approach to modelling spatial distributions and temporal progression of understory photosynthetically active radiation (PAR) utilising a three dimensional radiative transfer model (discrete anisotropic radiative transfer model: DART) where the scene is parameterised by drone-based data.
The study site, located in west Cornwall, UK, includes a small mixed woodland as well as isolated free-standing trees. Data were acquired from March to August 2019. Vegetation height and distribution were derived from point clouds generated from drone image data using structure-from-motion (SfM) photogrammetry. These data were supplemented by multi-temporal multispectral imagery (Parrot Sequoia camera) which were used to generate an empirical model by relating a vegetation index to plant area index derived from hemispherical photography taken over the same time period. Simulations of the 3D radiative budget were performed for the PAR wavelength interval (400 – 700 nm) using DART.
Besides maps of instantaneous above and below canopy irradiance, we provide models of daily light integrals (DLI) which are assessed against field validation measurements with PAR quantum sensors. We find relatively good agreement for simulated PAR in the woodland. The impact of simplifying assumptions regarding leaf angular distributions and optical properties are discussed. Finally, further opportunities which fine-grained drone data can provide in a radiative transfer context are highlighted.
How to cite: Fawcett, D., Bennie, J., and Anderson, K.: Modelling understory light availability in a heterogeneous landscape using drone-derived structural parameters and a 3D radiative transfer model, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19003, https://doi.org/10.5194/egusphere-egu2020-19003, 2020.
The light environment within vegetated landscapes is a key driver of microclimate, creating varied habitats over small spatial extents and controls the distribution of understory plant species. Modelling spatial variations of light at these scales requires finely resolved (< 1 m) information on topography and canopy properties. We demonstrate an approach to modelling spatial distributions and temporal progression of understory photosynthetically active radiation (PAR) utilising a three dimensional radiative transfer model (discrete anisotropic radiative transfer model: DART) where the scene is parameterised by drone-based data.
The study site, located in west Cornwall, UK, includes a small mixed woodland as well as isolated free-standing trees. Data were acquired from March to August 2019. Vegetation height and distribution were derived from point clouds generated from drone image data using structure-from-motion (SfM) photogrammetry. These data were supplemented by multi-temporal multispectral imagery (Parrot Sequoia camera) which were used to generate an empirical model by relating a vegetation index to plant area index derived from hemispherical photography taken over the same time period. Simulations of the 3D radiative budget were performed for the PAR wavelength interval (400 – 700 nm) using DART.
Besides maps of instantaneous above and below canopy irradiance, we provide models of daily light integrals (DLI) which are assessed against field validation measurements with PAR quantum sensors. We find relatively good agreement for simulated PAR in the woodland. The impact of simplifying assumptions regarding leaf angular distributions and optical properties are discussed. Finally, further opportunities which fine-grained drone data can provide in a radiative transfer context are highlighted.
How to cite: Fawcett, D., Bennie, J., and Anderson, K.: Modelling understory light availability in a heterogeneous landscape using drone-derived structural parameters and a 3D radiative transfer model, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19003, https://doi.org/10.5194/egusphere-egu2020-19003, 2020.
EGU2020-4217 | Displays | BG2.7
Forward-inverse modeling based on scalar and vector radiative transfer models for coupled atmosphere-surface systems and machine learning toolsKnut Stamnes, Børge Hamre, Snorre Stamnes, Nan Chen, Yongzhen Fan, Wei Li, Zhenyi Lin, and Jakob Stamnes
Reliable retrieval of atmospheric and surface properties from sensors deployed on satellite platforms rely on accurate simulations of the electromagnetic (EM) signal measured by such sensors. A forward radiative transfer (RT) model of the coupled atmosphere-surface system can be used to simulate how the EM signal responds to changes in atmospheric and surface properties. Realistic RT modeling is a prerequisite for solving the inverse problem, i.e. to infer atmospheric and surface parameters from the EM signals measured at the top of the atmosphere. The surface may consist of a soil-plant canopy, a snow/ice covered surface or an open water body (ocean, lake, river system). An overview will be provided of forward and inverse RT in such coupled atmosphere-surface systems. A coupled system consisting of two adjacent slabs separated by an interface across which the refractive index changes abruptly from its value in air to that in water /ice [1] will be used as an example. Several examples of how to formulate and solve inverse problems involving coupled atmosphere-water systems [2] will be provided to illustrate how solutions to the RT equation can be used as a forward model to solve practical inverse problems. Cloud screening [3], atmospheric correction [4], treatment of two-dimensional surface roughness, Earth curvature effects, and ocean bottom reflection for shallow water in coastal areas will be discussed, and the advantage of using powerful machine learning techniques to solve the inverse problem will be emphasized.
References
[1] Stamnes, K., and J. J. Stamnes, Radiative Transfer in Coupled Environmental Systems, , 2015.
[2] Stamnes, K., B. Hamre, S. Stamnes, N. Chen, Y. Fan, W. Li, Z. Lin, and J. J. Stamnes, Progress in forward-inverse modeling based on radiative transfer tools for coupled atmosphere-snow/ice-ocean systems: A review and description of the AccuRT model, , 8, 2682, 2018.
[3] Chen N., W. Li, C. Gatebe, T. Tanikawa, M. Hori, R. Shimada; T. Aoki, and K. Stamnes, New cloud mask algorithm based on machine learning methods and radiative transfer simulations, , 219, 62-71, 2018.
[4] Fan, Y., W. Li, C. K. Gatebe, C. Jamet, G. Zibordi, T. Schroeder, and K. Stamnes, Atmospheric correction and aerosol retrieval over coastal waters using multilayer neural networks, , 199, 218-240, 2017.
How to cite: Stamnes, K., Hamre, B., Stamnes, S., Chen, N., Fan, Y., Li, W., Lin, Z., and Stamnes, J.: Forward-inverse modeling based on scalar and vector radiative transfer models for coupled atmosphere-surface systems and machine learning tools, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4217, https://doi.org/10.5194/egusphere-egu2020-4217, 2020.
Reliable retrieval of atmospheric and surface properties from sensors deployed on satellite platforms rely on accurate simulations of the electromagnetic (EM) signal measured by such sensors. A forward radiative transfer (RT) model of the coupled atmosphere-surface system can be used to simulate how the EM signal responds to changes in atmospheric and surface properties. Realistic RT modeling is a prerequisite for solving the inverse problem, i.e. to infer atmospheric and surface parameters from the EM signals measured at the top of the atmosphere. The surface may consist of a soil-plant canopy, a snow/ice covered surface or an open water body (ocean, lake, river system). An overview will be provided of forward and inverse RT in such coupled atmosphere-surface systems. A coupled system consisting of two adjacent slabs separated by an interface across which the refractive index changes abruptly from its value in air to that in water /ice [1] will be used as an example. Several examples of how to formulate and solve inverse problems involving coupled atmosphere-water systems [2] will be provided to illustrate how solutions to the RT equation can be used as a forward model to solve practical inverse problems. Cloud screening [3], atmospheric correction [4], treatment of two-dimensional surface roughness, Earth curvature effects, and ocean bottom reflection for shallow water in coastal areas will be discussed, and the advantage of using powerful machine learning techniques to solve the inverse problem will be emphasized.
References
[1] Stamnes, K., and J. J. Stamnes, Radiative Transfer in Coupled Environmental Systems, , 2015.
[2] Stamnes, K., B. Hamre, S. Stamnes, N. Chen, Y. Fan, W. Li, Z. Lin, and J. J. Stamnes, Progress in forward-inverse modeling based on radiative transfer tools for coupled atmosphere-snow/ice-ocean systems: A review and description of the AccuRT model, , 8, 2682, 2018.
[3] Chen N., W. Li, C. Gatebe, T. Tanikawa, M. Hori, R. Shimada; T. Aoki, and K. Stamnes, New cloud mask algorithm based on machine learning methods and radiative transfer simulations, , 219, 62-71, 2018.
[4] Fan, Y., W. Li, C. K. Gatebe, C. Jamet, G. Zibordi, T. Schroeder, and K. Stamnes, Atmospheric correction and aerosol retrieval over coastal waters using multilayer neural networks, , 199, 218-240, 2017.
How to cite: Stamnes, K., Hamre, B., Stamnes, S., Chen, N., Fan, Y., Li, W., Lin, Z., and Stamnes, J.: Forward-inverse modeling based on scalar and vector radiative transfer models for coupled atmosphere-surface systems and machine learning tools, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4217, https://doi.org/10.5194/egusphere-egu2020-4217, 2020.
EGU2020-4773 | Displays | BG2.7
Deciphering Optical Water Types of Wetlands using multispectral Earth observation datasetsSatyasri Allaka, Manudeo Singh, and Rajiv Sinha
Wetlands are important and highly productive ecosystems in a variety of geomorphic settings ranging from inland to coastal environments. Wetlands are very dynamic in nature and are driven by the water and sediment fluxes carried by the streamlets throughout the year. Wetlands are under tremendous pressure all over the world due to various natural and anthropogenic factors, and therefore, require an immediate attention for their conservation. The available studies on wetland have given much less importance to the internal dynamics of the wetlands, which is primarily driven by hydrology and Land Use Land Cover (LULC) changes. Here, we propose to use the Optical Water Types (OWTs) concept to understand the hydrodynamics within the wetland.
The OWTs are the aquatic counterpart of terrestrial LULC classification and can be created by clustering of optically sensitive parameters like chlorophyll content, turbidity, suspended organic and inorganic matter using remote sensing reflectance, absorption, and scattering parameters. The Forel Ule (FU) color index, a visual color comparison scale of water bodies ranging from blue to cola brown (1-21), used a similar idea but is fairly limited in scope. The hyperspectral datasets have distinct absorption and reflection spectrum for various optically sensitive parameters, and therefore, they are particularly suited for this work. However, the availability of the high-resolution hyperspectral data is very limited and hence this research explores the possibility of deciphering the OWTs using multispectral datasets.
A possible approach to create OWTs is using the spectral indices of the multispectral datasets which are sensitive to the optical parameters instead of using the FU color index as a single parameter. In this work, various spectral indices which are independent and highly sensitivity to chlorophyll content, turbidity, suspended organic and inorganic matter are identified using the principal component analysis. The OWT clusters are created using the iso-cluster unsupervised classification similar to the LULC classification but the spectral indices are taken into account instead of directly using the spectral bands of satellite datasets. In this work, the Sentinel – 2A and 2B datasets are used to create independent OWT clusters of the Chilika (a Coastal wetland, along the east coast of India covering an area of 1,165 km2) and Kaabar Tal (an inland wetland in north Bihar plains, India covering an area of 51 km2) using the supervised classification method. The developed framework is very simple and robust in nature but the only disadvantage is that the clusters are variable in the temporal context. However, the temporal variations can be integrated with the spatial analysis to understand the wetland dynamics in the context of both space and time.
How to cite: Allaka, S., Singh, M., and Sinha, R.: Deciphering Optical Water Types of Wetlands using multispectral Earth observation datasets, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4773, https://doi.org/10.5194/egusphere-egu2020-4773, 2020.
Wetlands are important and highly productive ecosystems in a variety of geomorphic settings ranging from inland to coastal environments. Wetlands are very dynamic in nature and are driven by the water and sediment fluxes carried by the streamlets throughout the year. Wetlands are under tremendous pressure all over the world due to various natural and anthropogenic factors, and therefore, require an immediate attention for their conservation. The available studies on wetland have given much less importance to the internal dynamics of the wetlands, which is primarily driven by hydrology and Land Use Land Cover (LULC) changes. Here, we propose to use the Optical Water Types (OWTs) concept to understand the hydrodynamics within the wetland.
The OWTs are the aquatic counterpart of terrestrial LULC classification and can be created by clustering of optically sensitive parameters like chlorophyll content, turbidity, suspended organic and inorganic matter using remote sensing reflectance, absorption, and scattering parameters. The Forel Ule (FU) color index, a visual color comparison scale of water bodies ranging from blue to cola brown (1-21), used a similar idea but is fairly limited in scope. The hyperspectral datasets have distinct absorption and reflection spectrum for various optically sensitive parameters, and therefore, they are particularly suited for this work. However, the availability of the high-resolution hyperspectral data is very limited and hence this research explores the possibility of deciphering the OWTs using multispectral datasets.
A possible approach to create OWTs is using the spectral indices of the multispectral datasets which are sensitive to the optical parameters instead of using the FU color index as a single parameter. In this work, various spectral indices which are independent and highly sensitivity to chlorophyll content, turbidity, suspended organic and inorganic matter are identified using the principal component analysis. The OWT clusters are created using the iso-cluster unsupervised classification similar to the LULC classification but the spectral indices are taken into account instead of directly using the spectral bands of satellite datasets. In this work, the Sentinel – 2A and 2B datasets are used to create independent OWT clusters of the Chilika (a Coastal wetland, along the east coast of India covering an area of 1,165 km2) and Kaabar Tal (an inland wetland in north Bihar plains, India covering an area of 51 km2) using the supervised classification method. The developed framework is very simple and robust in nature but the only disadvantage is that the clusters are variable in the temporal context. However, the temporal variations can be integrated with the spatial analysis to understand the wetland dynamics in the context of both space and time.
How to cite: Allaka, S., Singh, M., and Sinha, R.: Deciphering Optical Water Types of Wetlands using multispectral Earth observation datasets, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4773, https://doi.org/10.5194/egusphere-egu2020-4773, 2020.
EGU2020-5151 | Displays | BG2.7 | Highlight
Global assimilation of ocean-color data of phytoplankton functional types: Impact of different datasetsLars Nerger, Himansu Pradhan, Christoph Völker, Svetlana Losa, and Astrid Bracher
Satellite phytoplankton functional type (PFT) data is assimilated into the global coupled ocean-ecosystem model MITgcm-REcoM2 for two years using a local ensemble Kalman filter. The ecosystem model has two PFTs: small phytoplankton (SP) and diatoms. Three different sets of satellite PFT data are assimilated: OC-PFT, PhytoDOAS, and SynSenPFT, which is a synergistic product combining the independent PFT products OC-PFT and PhytoDOAS. The effect of assimilating PFT data is compared with the assimilation of total chlorophyll data (TChla). This constrains both PFTs through multivariate assimilation using ensemble-estimate cross-covariances. While the assimilation of TChla already improves both PFTs individually, the assimilation of PFT data further improves the representation of the phytoplankton community. The effect is particularly large for diatoms where, compared to the assimilation of TChla, the SynSenPFT assimilation results in 57% and 67% reduction of root-mean square error (RMSE) and bias, respectively, while the correlation is increased from 0.45 to 0.54. For SP the assimilation of SynSenPFT data reduces the RMSE and bias by 14% each and increases the correlation by 30%. This shows that satellite data products beyond total chlorophyll are relevant for biogeochemical data assimilation. The separate assimilation of the PFT data products OC-PFT, SynSenPFT, and joint assimilation of OC-PFT and PhytoDOAS data lead to similar results while the assimilation of PhytoDOAS data alone leads to deteriorated SP but improved diatoms. When both OC-PFT and PhytoDOAS data are jointly assimilated, the representation of diatoms is improved compared to the assimilation of only OC-PFT. The results show slightly lower errors than when the synergistic SynSenPFT data is assimilated, which shows that the assimilation successfully combines the separate data sources.
How to cite: Nerger, L., Pradhan, H., Völker, C., Losa, S., and Bracher, A.: Global assimilation of ocean-color data of phytoplankton functional types: Impact of different datasets , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5151, https://doi.org/10.5194/egusphere-egu2020-5151, 2020.
Satellite phytoplankton functional type (PFT) data is assimilated into the global coupled ocean-ecosystem model MITgcm-REcoM2 for two years using a local ensemble Kalman filter. The ecosystem model has two PFTs: small phytoplankton (SP) and diatoms. Three different sets of satellite PFT data are assimilated: OC-PFT, PhytoDOAS, and SynSenPFT, which is a synergistic product combining the independent PFT products OC-PFT and PhytoDOAS. The effect of assimilating PFT data is compared with the assimilation of total chlorophyll data (TChla). This constrains both PFTs through multivariate assimilation using ensemble-estimate cross-covariances. While the assimilation of TChla already improves both PFTs individually, the assimilation of PFT data further improves the representation of the phytoplankton community. The effect is particularly large for diatoms where, compared to the assimilation of TChla, the SynSenPFT assimilation results in 57% and 67% reduction of root-mean square error (RMSE) and bias, respectively, while the correlation is increased from 0.45 to 0.54. For SP the assimilation of SynSenPFT data reduces the RMSE and bias by 14% each and increases the correlation by 30%. This shows that satellite data products beyond total chlorophyll are relevant for biogeochemical data assimilation. The separate assimilation of the PFT data products OC-PFT, SynSenPFT, and joint assimilation of OC-PFT and PhytoDOAS data lead to similar results while the assimilation of PhytoDOAS data alone leads to deteriorated SP but improved diatoms. When both OC-PFT and PhytoDOAS data are jointly assimilated, the representation of diatoms is improved compared to the assimilation of only OC-PFT. The results show slightly lower errors than when the synergistic SynSenPFT data is assimilated, which shows that the assimilation successfully combines the separate data sources.
How to cite: Nerger, L., Pradhan, H., Völker, C., Losa, S., and Bracher, A.: Global assimilation of ocean-color data of phytoplankton functional types: Impact of different datasets , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5151, https://doi.org/10.5194/egusphere-egu2020-5151, 2020.
EGU2020-5251 | Displays | BG2.7
PROSPECT-PRO: a leaf radiative transfer model for estimation of leaf protein content and carbon-based constituentsJean-Baptiste Féret, Katja Berger, Florian de Boissieu, and Zbyněk Malenovský
Leaf nitrogen content is key information for ecological and agronomic processes. A number of studies aiming at estimation of leaf nitrogen content used chlorophyll content as a proxy due to a moderate to strong correlation between chlorophyll and nitrogen content during vegetative growth stages. Since leaf nitrogen content is directly linked to leaf protein content, the capacity to accurately estimate leaf protein content may improve robustness of an operational nitrogen monitoring. In the past, the introduction of proteins - as an absorbing input constituent of the PROSPECT leaf model - has been attempted numerous times. Yet, the attempts suffered from a certain number of shortcomings, including limited applicability to both fresh and dry vegetation, inaccurate definition of the specific absorption coefficients, or incomplete accounting for different constituents of leaf dry matter.
Here, we introduce PROSPECT-PRO, a new version of the PROSPECT model simulating leaf optical properties based on their biochemical properties and including protein and carbon-based constituents (CBC) as new input variables. These two additional chemical constituents correspond to two complementary constituents of LMA. Specific absorption coefficients for proteins and CBC were produced splitting LOPEX dataset into 50% for calibration and 50%for validation. Both data sets included fresh and dry samples. Our objective is to keep compatibility between PROSPECT-PRO and PROSPECT-D, the previous version of the model, and to ensure the same performances for the estimation of LMA even through its decomposition into two constituents. Therefore, the full validation consisted of two steps:
1) PROSPECT-PRO inversion using an iterative optimization approach to retrieve proteins and CBC from LOPEX data
2) Testing the compatibility with PROSPECT-D by estimating LMA as the sum of protein and CBC content from independent datasets
The capacity of PROSPECT-PRO for the accurate estimation of leaf proteins and CBC on LOPEX could be evidenced, with slightly higher performances for the estimation of fresh leaf proteins (NRMSE = 17.3%, R2 = 0.75) than of dry leaf proteins (NRMSE =24.0%, R2 = 0.62). Good overall performances were obtained for the estimation of CBC (NRMSE<15%, R2>0.90). Based on these results, the carbon/nitrogen ratio of leaves could be modelled accurately.
The indirect estimation of LMA through PROSPECT-PRO inversion led to similar or slightly improved results when compared to the estimation of LMA with PROSPECT-D. Hence, PROSPECT-PRO might be of particular interest for precision agriculture applications in the context of nitrogen sensing using observations of current and forthcoming satellite imaging spectroscopy missions.
How to cite: Féret, J.-B., Berger, K., de Boissieu, F., and Malenovský, Z.: PROSPECT-PRO: a leaf radiative transfer model for estimation of leaf protein content and carbon-based constituents, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5251, https://doi.org/10.5194/egusphere-egu2020-5251, 2020.
Leaf nitrogen content is key information for ecological and agronomic processes. A number of studies aiming at estimation of leaf nitrogen content used chlorophyll content as a proxy due to a moderate to strong correlation between chlorophyll and nitrogen content during vegetative growth stages. Since leaf nitrogen content is directly linked to leaf protein content, the capacity to accurately estimate leaf protein content may improve robustness of an operational nitrogen monitoring. In the past, the introduction of proteins - as an absorbing input constituent of the PROSPECT leaf model - has been attempted numerous times. Yet, the attempts suffered from a certain number of shortcomings, including limited applicability to both fresh and dry vegetation, inaccurate definition of the specific absorption coefficients, or incomplete accounting for different constituents of leaf dry matter.
Here, we introduce PROSPECT-PRO, a new version of the PROSPECT model simulating leaf optical properties based on their biochemical properties and including protein and carbon-based constituents (CBC) as new input variables. These two additional chemical constituents correspond to two complementary constituents of LMA. Specific absorption coefficients for proteins and CBC were produced splitting LOPEX dataset into 50% for calibration and 50%for validation. Both data sets included fresh and dry samples. Our objective is to keep compatibility between PROSPECT-PRO and PROSPECT-D, the previous version of the model, and to ensure the same performances for the estimation of LMA even through its decomposition into two constituents. Therefore, the full validation consisted of two steps:
1) PROSPECT-PRO inversion using an iterative optimization approach to retrieve proteins and CBC from LOPEX data
2) Testing the compatibility with PROSPECT-D by estimating LMA as the sum of protein and CBC content from independent datasets
The capacity of PROSPECT-PRO for the accurate estimation of leaf proteins and CBC on LOPEX could be evidenced, with slightly higher performances for the estimation of fresh leaf proteins (NRMSE = 17.3%, R2 = 0.75) than of dry leaf proteins (NRMSE =24.0%, R2 = 0.62). Good overall performances were obtained for the estimation of CBC (NRMSE<15%, R2>0.90). Based on these results, the carbon/nitrogen ratio of leaves could be modelled accurately.
The indirect estimation of LMA through PROSPECT-PRO inversion led to similar or slightly improved results when compared to the estimation of LMA with PROSPECT-D. Hence, PROSPECT-PRO might be of particular interest for precision agriculture applications in the context of nitrogen sensing using observations of current and forthcoming satellite imaging spectroscopy missions.
How to cite: Féret, J.-B., Berger, K., de Boissieu, F., and Malenovský, Z.: PROSPECT-PRO: a leaf radiative transfer model for estimation of leaf protein content and carbon-based constituents, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5251, https://doi.org/10.5194/egusphere-egu2020-5251, 2020.
EGU2020-6333 | Displays | BG2.7
Evaluating ecological vulnerability over Qinghai-Tibetan Plateau based on remote sensing and geographic information systemsMu Xia and Kun Jia
Qinghai-Tibetan Plateau (QTP), known as “the Third Pole”, has one of the most fragile ecosystems in the world. QTP is suffering from external pressures of climate change, human activities, and natural hazards. This study provides a subjective framework in assessing ecological vulnerability (EV) in QTP from 2000 to 2015 based on remote sensing and geographic information system techniques. An ecological vulnerability index (EVI) was established based on 17 indicators mainly acquired from satellite data. Principle component analysis and entropy method were used in determining indicator weights. Annual EVI were calculated based on the weighted sum of all indicators. Five vulnerability levels of potential, light, moderate, heavy and very heavy were graded to describe the spatial and temporal patterns of EVIs. Mann-Kendall trend analysis was performed over QTP during the 16 years. Results indicates QTP is suffering from an overall increasing EVI from eastern to western areas. About 10.43% of QTP has experienced significant EVI decrease, while 7.38% experienced significant increase in EVI.
How to cite: Xia, M. and Jia, K.: Evaluating ecological vulnerability over Qinghai-Tibetan Plateau based on remote sensing and geographic information systems, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6333, https://doi.org/10.5194/egusphere-egu2020-6333, 2020.
Qinghai-Tibetan Plateau (QTP), known as “the Third Pole”, has one of the most fragile ecosystems in the world. QTP is suffering from external pressures of climate change, human activities, and natural hazards. This study provides a subjective framework in assessing ecological vulnerability (EV) in QTP from 2000 to 2015 based on remote sensing and geographic information system techniques. An ecological vulnerability index (EVI) was established based on 17 indicators mainly acquired from satellite data. Principle component analysis and entropy method were used in determining indicator weights. Annual EVI were calculated based on the weighted sum of all indicators. Five vulnerability levels of potential, light, moderate, heavy and very heavy were graded to describe the spatial and temporal patterns of EVIs. Mann-Kendall trend analysis was performed over QTP during the 16 years. Results indicates QTP is suffering from an overall increasing EVI from eastern to western areas. About 10.43% of QTP has experienced significant EVI decrease, while 7.38% experienced significant increase in EVI.
How to cite: Xia, M. and Jia, K.: Evaluating ecological vulnerability over Qinghai-Tibetan Plateau based on remote sensing and geographic information systems, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6333, https://doi.org/10.5194/egusphere-egu2020-6333, 2020.
EGU2020-11175 | Displays | BG2.7
Towers, Chambers & UAVs: Exploring the drivers of carbon sink strength at a temperate peatlandGillian Simpson, Carole Helfter, Caroline Nichol, and Tom Wade
Peatlands are terrestrial carbon sinks of global significance, storing an estimated one-third of global soil carbon. Net Ecosystem Exchange (NEE) of carbon dioxide (CO2) can however vary substantially on seasonal and inter-annual timescales, with some peatlands switching from a sink to a source of CO2. Complex and sometimes competing processes, such as meteorology and phenology, regulate a peatland’s net carbon sink strength. Understanding seasonal and inter-annual variability in NEE requires studying these environmental controls at multiple spatial and temporal scales. The role of vegetation in regulating NEE can be particularly difficult to ascertain at the finer timescales (e.g. seasonal) and at sites with abundant plant diversity, non-uniform distribution and complex micro-topography, such as peatlands. Vegetation surveys are traditionally conducted every few years and, because of this, they might not capture the shorter-term variations that can result from meteorological anomalies such as drought. New technologies, such as Unmanned Aerial Vehicles (UAVs), offer novel opportunities to improve the temporal resolution and spatial coverage of traditional vegetation survey approaches. UAVs are a more flexible, often cheaper alternative to satellite products, which can be used to collect data at the sub-centimetre scale. Such high resolution is particularly valuable in peatland environments, which typically display strong heterogeneity at the micro-site level (< 0.5 m). We employ UAV surveys with a Parrot Sequoia multispectral camera to map vegetation and track its phenology using vegetation indices such as the Normalised Difference Vegetation Index (NDVI) over the course of two growing seasons at a temperate Scottish peatland. By combining this multispectral data with in-situ NEE measurements (closed chambers and eddy-covariance) and meteorological data, this project aims to quantify the impact of weather and phenology on carbon balance at the site. An improved understanding of these two drivers of peatland carbon cycling will allow for better prediction of the impact of climate change at the site.
How to cite: Simpson, G., Helfter, C., Nichol, C., and Wade, T.: Towers, Chambers & UAVs: Exploring the drivers of carbon sink strength at a temperate peatland, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11175, https://doi.org/10.5194/egusphere-egu2020-11175, 2020.
Peatlands are terrestrial carbon sinks of global significance, storing an estimated one-third of global soil carbon. Net Ecosystem Exchange (NEE) of carbon dioxide (CO2) can however vary substantially on seasonal and inter-annual timescales, with some peatlands switching from a sink to a source of CO2. Complex and sometimes competing processes, such as meteorology and phenology, regulate a peatland’s net carbon sink strength. Understanding seasonal and inter-annual variability in NEE requires studying these environmental controls at multiple spatial and temporal scales. The role of vegetation in regulating NEE can be particularly difficult to ascertain at the finer timescales (e.g. seasonal) and at sites with abundant plant diversity, non-uniform distribution and complex micro-topography, such as peatlands. Vegetation surveys are traditionally conducted every few years and, because of this, they might not capture the shorter-term variations that can result from meteorological anomalies such as drought. New technologies, such as Unmanned Aerial Vehicles (UAVs), offer novel opportunities to improve the temporal resolution and spatial coverage of traditional vegetation survey approaches. UAVs are a more flexible, often cheaper alternative to satellite products, which can be used to collect data at the sub-centimetre scale. Such high resolution is particularly valuable in peatland environments, which typically display strong heterogeneity at the micro-site level (< 0.5 m). We employ UAV surveys with a Parrot Sequoia multispectral camera to map vegetation and track its phenology using vegetation indices such as the Normalised Difference Vegetation Index (NDVI) over the course of two growing seasons at a temperate Scottish peatland. By combining this multispectral data with in-situ NEE measurements (closed chambers and eddy-covariance) and meteorological data, this project aims to quantify the impact of weather and phenology on carbon balance at the site. An improved understanding of these two drivers of peatland carbon cycling will allow for better prediction of the impact of climate change at the site.
How to cite: Simpson, G., Helfter, C., Nichol, C., and Wade, T.: Towers, Chambers & UAVs: Exploring the drivers of carbon sink strength at a temperate peatland, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11175, https://doi.org/10.5194/egusphere-egu2020-11175, 2020.
EGU2020-13447 | Displays | BG2.7
Inverting a comprehensive crop model in parsimonious data context using Sentinel 2 images and yield map to infer soil water storage capacity.André Chanzy and Karen Lammoglia
Soil Water storage Capacity (SWSC) is an important quantity in the field of hydrology and agronomy to represent the hydrological functioning of a territory and/or the dynamics of a crop. SWSC spatial variability is often strong resulting from heterogeneity in texture and structure as well as soil depth. In situ measurement of SWSC is expensive, destructive and cannot be considered over a large area. Therefore, the characterization of SWSC by non-destructive methods is a mean of addressing the mapping issue. In this study we took profit of the new capacities offered by the Sentinel 2 mission, which allows characterizing relevant features in vegetation dynamic linked to stresses. In addition, yield map offers an additional source of information. Both yield and vegetation development are sensitive to several factors as the water and nitrogen supply, crop installation or pest. To isolate the influence of water supply, and therefore access parameters involved in the SWSC, an option is to delineate the effect of such factors by inverting a crop model able to simulate the observation together with the representation of most of influencing factors. The STICS crop model implemented in this study is suitable to consider interactions between carbon, nitrogen and water cycles, plant development and farming practices. The issue is then to demonstrate that parsimony in field characterization can be overcome by using satellite and yield observations to implement and invert comprehensive model such as STICS. A sensitivity analysis (Lammoglia et al. 2019) indicates that once plant variety parameters are calibrated, the parameters linked to crop installation, as the sowing depth and the sowing density, the initial soil mineral nitrogen and the SWSC are the main quantities to consider in an inversion procedure. The GLUE Bayesian method was used to retrieve the different parameters. The procedure was tested on non-irrigated winter durum wheat in a Mediterranean context in south-eastern France. The approach was evaluated in farm context 20 on heterogeneous fields over three years (2016-2018). Evaluation was made either by comparing inverted SWSC to observations and/or assessing the crop model performances on subsequent years. Soil heterogeneities are well captured by the method, but some heterogeneities interpreted as soil heterogeneities might be artefacts. A multi-year analysis is then necessary to get the permanent features that are most likely linked to soil properties. Discussion on the adding value of combining both soil vegetation dynamic (FAPAR, LAI) and yield, on the inversion strategy (calibration steps, data being considering, initialisation) and on the cost function (to reduce the impact of uncertainties on crop parameters) was made. The study has shown that LAI/FAPAR and yield observations make the use of complex model in data parsimonious context possible. In particular, the study highlights the importance of having frequent image acquisition, as it allows to capture short feature as the senescence rate which appears as an important proxy of the availability of water in the soil.
Lammoglia, A. Chanzy & M. Guerif, “Characterizing soil hydraulic properties from Sentinel 2 and STICS crop model” doi:10.1109/MetroAgriFor.2019.8909266, pp 312-316
How to cite: Chanzy, A. and Lammoglia, K.: Inverting a comprehensive crop model in parsimonious data context using Sentinel 2 images and yield map to infer soil water storage capacity., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13447, https://doi.org/10.5194/egusphere-egu2020-13447, 2020.
Soil Water storage Capacity (SWSC) is an important quantity in the field of hydrology and agronomy to represent the hydrological functioning of a territory and/or the dynamics of a crop. SWSC spatial variability is often strong resulting from heterogeneity in texture and structure as well as soil depth. In situ measurement of SWSC is expensive, destructive and cannot be considered over a large area. Therefore, the characterization of SWSC by non-destructive methods is a mean of addressing the mapping issue. In this study we took profit of the new capacities offered by the Sentinel 2 mission, which allows characterizing relevant features in vegetation dynamic linked to stresses. In addition, yield map offers an additional source of information. Both yield and vegetation development are sensitive to several factors as the water and nitrogen supply, crop installation or pest. To isolate the influence of water supply, and therefore access parameters involved in the SWSC, an option is to delineate the effect of such factors by inverting a crop model able to simulate the observation together with the representation of most of influencing factors. The STICS crop model implemented in this study is suitable to consider interactions between carbon, nitrogen and water cycles, plant development and farming practices. The issue is then to demonstrate that parsimony in field characterization can be overcome by using satellite and yield observations to implement and invert comprehensive model such as STICS. A sensitivity analysis (Lammoglia et al. 2019) indicates that once plant variety parameters are calibrated, the parameters linked to crop installation, as the sowing depth and the sowing density, the initial soil mineral nitrogen and the SWSC are the main quantities to consider in an inversion procedure. The GLUE Bayesian method was used to retrieve the different parameters. The procedure was tested on non-irrigated winter durum wheat in a Mediterranean context in south-eastern France. The approach was evaluated in farm context 20 on heterogeneous fields over three years (2016-2018). Evaluation was made either by comparing inverted SWSC to observations and/or assessing the crop model performances on subsequent years. Soil heterogeneities are well captured by the method, but some heterogeneities interpreted as soil heterogeneities might be artefacts. A multi-year analysis is then necessary to get the permanent features that are most likely linked to soil properties. Discussion on the adding value of combining both soil vegetation dynamic (FAPAR, LAI) and yield, on the inversion strategy (calibration steps, data being considering, initialisation) and on the cost function (to reduce the impact of uncertainties on crop parameters) was made. The study has shown that LAI/FAPAR and yield observations make the use of complex model in data parsimonious context possible. In particular, the study highlights the importance of having frequent image acquisition, as it allows to capture short feature as the senescence rate which appears as an important proxy of the availability of water in the soil.
Lammoglia, A. Chanzy & M. Guerif, “Characterizing soil hydraulic properties from Sentinel 2 and STICS crop model” doi:10.1109/MetroAgriFor.2019.8909266, pp 312-316
How to cite: Chanzy, A. and Lammoglia, K.: Inverting a comprehensive crop model in parsimonious data context using Sentinel 2 images and yield map to infer soil water storage capacity., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13447, https://doi.org/10.5194/egusphere-egu2020-13447, 2020.
EGU2020-14904 | Displays | BG2.7
Exploring continuous time series of vegetation hyperspectral reflectance and solar-induced fluorescence through radiative transfer model inversionMarco Celesti, Khelvi Biriukova, Petya K. E. Campbell, Ilaria Cesana, Sergio Cogliati, Alexander Damm, Matthias Drusch, Tommaso Julitta, Elizabeth Middleton, Mirco Migliavacca, Franco Miglietta, Cinzia Panigada, Uwe Rascher, Micol Rossini, Dirk Schuettemeyer, Giulia Tagliabue, Christiaan van der Tol, Jochem Verrelst, Peiqi Yang, and Roberto Colombo
Remote sensing of solar-induced chlorophyll fluorescence (SIF) is of growing interest for the scientific community due to the inherent link of SIF with vegetation photosynthetic activity. An increasing number of in situ and airborne fluorescence spectrometers has been deployed worldwide to advance the understanding and usage of SIF for ecosystem studies. Particularly, a number of sites has been instrumented with the FloX (J&B Hyperspectral Devices, Germany), an automated instrument that houses two high resolution spectrometers covering the visible and near infrared spectral regions, one specifically optimized for fluorescence retrieval, the other for plant trait estimation.
In this contribution we explore the feasibility to consistently retrieve plant traits and SIF from canopy level FloX measurements through the numerical inversion of a light version of the SCOPE model. The optimization approach was specifically adapted to work with the high- frequency time series produced by the FloX. In this context, a strategy for optimal retrieval of plant traits at daily scale is discussed, together with the implementation of an emulator of the radiative transfer model in the retrieval scheme. The retrieval strategy was applied to site measurements across Europe and the US that span a variety of natural and agricultural ecosystems.
The full spectrum of canopy SIF, the fluorescence quantum efficiency, and main plant traits controlling light absorption and reabsorption were retrieved concurrently and evaluated over the growing season in comparison with site-specific ancillary data. Improvements and challenges of this method compared to other retrievals are discussed, together with the potential of applying a similar retrieval scheme to airborne datasets acquired with e.g. the HyPlant sensor, or the reconfigured “FLEX mode” data acquired with the recently launched Sentinel-3B during its commissioning phase.
How to cite: Celesti, M., Biriukova, K., Campbell, P. K. E., Cesana, I., Cogliati, S., Damm, A., Drusch, M., Julitta, T., Middleton, E., Migliavacca, M., Miglietta, F., Panigada, C., Rascher, U., Rossini, M., Schuettemeyer, D., Tagliabue, G., van der Tol, C., Verrelst, J., Yang, P., and Colombo, R.: Exploring continuous time series of vegetation hyperspectral reflectance and solar-induced fluorescence through radiative transfer model inversion, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-14904, https://doi.org/10.5194/egusphere-egu2020-14904, 2020.
Remote sensing of solar-induced chlorophyll fluorescence (SIF) is of growing interest for the scientific community due to the inherent link of SIF with vegetation photosynthetic activity. An increasing number of in situ and airborne fluorescence spectrometers has been deployed worldwide to advance the understanding and usage of SIF for ecosystem studies. Particularly, a number of sites has been instrumented with the FloX (J&B Hyperspectral Devices, Germany), an automated instrument that houses two high resolution spectrometers covering the visible and near infrared spectral regions, one specifically optimized for fluorescence retrieval, the other for plant trait estimation.
In this contribution we explore the feasibility to consistently retrieve plant traits and SIF from canopy level FloX measurements through the numerical inversion of a light version of the SCOPE model. The optimization approach was specifically adapted to work with the high- frequency time series produced by the FloX. In this context, a strategy for optimal retrieval of plant traits at daily scale is discussed, together with the implementation of an emulator of the radiative transfer model in the retrieval scheme. The retrieval strategy was applied to site measurements across Europe and the US that span a variety of natural and agricultural ecosystems.
The full spectrum of canopy SIF, the fluorescence quantum efficiency, and main plant traits controlling light absorption and reabsorption were retrieved concurrently and evaluated over the growing season in comparison with site-specific ancillary data. Improvements and challenges of this method compared to other retrievals are discussed, together with the potential of applying a similar retrieval scheme to airborne datasets acquired with e.g. the HyPlant sensor, or the reconfigured “FLEX mode” data acquired with the recently launched Sentinel-3B during its commissioning phase.
How to cite: Celesti, M., Biriukova, K., Campbell, P. K. E., Cesana, I., Cogliati, S., Damm, A., Drusch, M., Julitta, T., Middleton, E., Migliavacca, M., Miglietta, F., Panigada, C., Rascher, U., Rossini, M., Schuettemeyer, D., Tagliabue, G., van der Tol, C., Verrelst, J., Yang, P., and Colombo, R.: Exploring continuous time series of vegetation hyperspectral reflectance and solar-induced fluorescence through radiative transfer model inversion, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-14904, https://doi.org/10.5194/egusphere-egu2020-14904, 2020.
EGU2020-18442 | Displays | BG2.7
EO Satellite Based system for monitoring Bracken Fern in ScotlandPablo Marzialetti, Lorenzo Fusilli, Giovanni Laneve, and Enrico Cadau
Bracken fern (Pteridium) is ranked among the most invasive species of the world (Holland & Aplin 2013). The fern’s intrusion has caused great reduction in the quantity and quality of land accessible for grazing (Birnie & Miller 1986). In some cases, farmers permanently abandon agricultural land severely invaded by bracken fern (Schneider & Geoghegan 2006).
Literature has shown that the fern also obstructs secondary forest reestablishment, and does not deliver adequate quality biomass, which improves soil nutrients regeneration (Schneider & Geoghegan 2006; Oldham et al. 2013). In some cases, bracken fern patches have excluded conifer seedlings despite several post-harvest planting efforts (Ferguson and Adams 1994), and even when seedlings do survive, bracken fern can retard seedling growth (Dimock 1964). Bracken fern spread is also a strong obstacle for re-introducing the autochthone fauna.
Empirical evidence from literature has demonstrated that spatial data on bracken fern’s spread, its life cycle and fern status cannot be accurately mapped using field surveys in the remote and inaccessible mountainous environments in many parts of the world (Mehner et al. 2004; Ngubane 2014; Odindi et al. 2014). Several studies have used available remote sensing platforms for detection and mapping bracken fern spatial distribution at various scales (e.g. Miller et al. 1990; Holland & Aplin 2013; Ngubane 2014; Singh et al. 2014).
This work concerns the feasibility of developing an EO satellite-based system capable of mapping the presence of bracken fern vegetation and monitoring its distribution in a predefined area of western highlands in Scotland.
The study considers also the impact of clouds, often present in the area of interest, and assesses the suitability of different available satellite sensors and their products (in terms of spatial, spectral and temporal resolution) as a means for achieving the objective.
The challenges encountered include problems of similarity in the spectral signatures of bracken and other vegetation species, leading to low classification accuracy. This aspect has been minimized by using an approach which considers the specific phenology of the behaviour of the vegetation of interest. Preliminary results shown summer months (June, July) as the best period during the year to monitor this area of interest, due to the minimum presence of clouds and shadow areas. Regarding the use of SAR imagery, also foreshortening and layover effects caused in this mountainous area limit the possibility to monitor the evolution of these plants.
How to cite: Marzialetti, P., Fusilli, L., Laneve, G., and Cadau, E.: EO Satellite Based system for monitoring Bracken Fern in Scotland, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18442, https://doi.org/10.5194/egusphere-egu2020-18442, 2020.
Bracken fern (Pteridium) is ranked among the most invasive species of the world (Holland & Aplin 2013). The fern’s intrusion has caused great reduction in the quantity and quality of land accessible for grazing (Birnie & Miller 1986). In some cases, farmers permanently abandon agricultural land severely invaded by bracken fern (Schneider & Geoghegan 2006).
Literature has shown that the fern also obstructs secondary forest reestablishment, and does not deliver adequate quality biomass, which improves soil nutrients regeneration (Schneider & Geoghegan 2006; Oldham et al. 2013). In some cases, bracken fern patches have excluded conifer seedlings despite several post-harvest planting efforts (Ferguson and Adams 1994), and even when seedlings do survive, bracken fern can retard seedling growth (Dimock 1964). Bracken fern spread is also a strong obstacle for re-introducing the autochthone fauna.
Empirical evidence from literature has demonstrated that spatial data on bracken fern’s spread, its life cycle and fern status cannot be accurately mapped using field surveys in the remote and inaccessible mountainous environments in many parts of the world (Mehner et al. 2004; Ngubane 2014; Odindi et al. 2014). Several studies have used available remote sensing platforms for detection and mapping bracken fern spatial distribution at various scales (e.g. Miller et al. 1990; Holland & Aplin 2013; Ngubane 2014; Singh et al. 2014).
This work concerns the feasibility of developing an EO satellite-based system capable of mapping the presence of bracken fern vegetation and monitoring its distribution in a predefined area of western highlands in Scotland.
The study considers also the impact of clouds, often present in the area of interest, and assesses the suitability of different available satellite sensors and their products (in terms of spatial, spectral and temporal resolution) as a means for achieving the objective.
The challenges encountered include problems of similarity in the spectral signatures of bracken and other vegetation species, leading to low classification accuracy. This aspect has been minimized by using an approach which considers the specific phenology of the behaviour of the vegetation of interest. Preliminary results shown summer months (June, July) as the best period during the year to monitor this area of interest, due to the minimum presence of clouds and shadow areas. Regarding the use of SAR imagery, also foreshortening and layover effects caused in this mountainous area limit the possibility to monitor the evolution of these plants.
How to cite: Marzialetti, P., Fusilli, L., Laneve, G., and Cadau, E.: EO Satellite Based system for monitoring Bracken Fern in Scotland, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18442, https://doi.org/10.5194/egusphere-egu2020-18442, 2020.
EGU2020-18798 | Displays | BG2.7
Study on The Extraction Method and Spatial-temporal Characteristics of Irrigated Land in Zhangjiakou CityZijuan Zhu, Lijun Zuo, Zengxiang Zhang, Xiaoli Zhao, Feifei Sun, and TianShi Pan
In order to balance the economic and ecological interests, suitable farmland structures in different regions need be established which require understanding the current distribution pattern of irrigated and dry croplands, as well as the evolution rules and reasons of that. In this paper, irrigated croplands in 1985, 2000 and 2015 in Zhangjiakou city which is in the northwest from Beijing were extracted. The study area was divided into Bashang and Bxia aeras depending climate, terrain and agrotype. NDVIs and NDWIs from May to August reflecting vegetation growth and water indexes reflecting vegetation water content were adopted and decision tree classification method was employed. As a result, classification accuracies were high and meet the replying demand with 80.05% and 93.00% in Bashang and Baxia areas respectively. The classification results show that the area of irrigated lands was extended lightly, increasing about 12.73%, reached to 686127 km2. Among them, there was 331438 km2 converted from dryland with the proportions as 54.45%. By contrast, about 272419 km2 irrigated croplands were transformed to drylands. But the plots areas of irrigated croplands were larger, showing a group development trend which is related to the large-scale development of the local vegetable industry in Bashang area. The total area of irrigated croplands was become bigger in intermontane plain around the rivers, while decreased in mountainous areas in Baxia area.
How to cite: Zhu, Z., Zuo, L., Zhang, Z., Zhao, X., Sun, F., and Pan, T.: Study on The Extraction Method and Spatial-temporal Characteristics of Irrigated Land in Zhangjiakou City, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18798, https://doi.org/10.5194/egusphere-egu2020-18798, 2020.
In order to balance the economic and ecological interests, suitable farmland structures in different regions need be established which require understanding the current distribution pattern of irrigated and dry croplands, as well as the evolution rules and reasons of that. In this paper, irrigated croplands in 1985, 2000 and 2015 in Zhangjiakou city which is in the northwest from Beijing were extracted. The study area was divided into Bashang and Bxia aeras depending climate, terrain and agrotype. NDVIs and NDWIs from May to August reflecting vegetation growth and water indexes reflecting vegetation water content were adopted and decision tree classification method was employed. As a result, classification accuracies were high and meet the replying demand with 80.05% and 93.00% in Bashang and Baxia areas respectively. The classification results show that the area of irrigated lands was extended lightly, increasing about 12.73%, reached to 686127 km2. Among them, there was 331438 km2 converted from dryland with the proportions as 54.45%. By contrast, about 272419 km2 irrigated croplands were transformed to drylands. But the plots areas of irrigated croplands were larger, showing a group development trend which is related to the large-scale development of the local vegetable industry in Bashang area. The total area of irrigated croplands was become bigger in intermontane plain around the rivers, while decreased in mountainous areas in Baxia area.
How to cite: Zhu, Z., Zuo, L., Zhang, Z., Zhao, X., Sun, F., and Pan, T.: Study on The Extraction Method and Spatial-temporal Characteristics of Irrigated Land in Zhangjiakou City, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18798, https://doi.org/10.5194/egusphere-egu2020-18798, 2020.
EGU2020-19953 | Displays | BG2.7
Remote sensing and GIS based ecological modelling of potential red deer habitats in the test site region DEMMIN (TERENO)Amelie McKenna, Alfred Schultz, Erik Borg, Matthias Neumann, and Jan-Peter Mund
Introduction: The destruction of habitats has not only reduced biological diversity but also affected essential ecosystem services of the Central European cultural landscape. Therefore, in the further development of the cultural landscape and in the management of natural resources, special importance must be attached to the habitat demands of species and the preservation of ecosystem services. The study of ecosystem services has extended its influence into spatial planning and landscape ecology, the integration of which can offer an opportunity to enhance the saliency, credibility, and legitimacy of landscape ecology in spatial planning issues.
Objective: This paper proposes a methodology to detect red deer habitats for e.g. huntable game. The model is established on remote sensing based value-added information products, the derived landscape structure information and the use of spatially and temporally imprecise in-situ data (e.g. available hunting statistics). In order to realize this, four statistical model approaches were developed and their predictive performance assessed.
Methods: Altogether, our results indicate that based on the data mentioned above, modeling of habitats is possible using a coherent statistical model approach. All four models showed an overall classification of > 60% and in the best case 71,4%. The models based on logistic regression using preference data derived from 5-year hunting statistics, which has been interpreted as habitat suitability. The landscape metrics (LSM) will be calculated on the basis of the Global Forest Change dataset (HANSEN et al. 2013b ). The interpolation of landcover data into landscape-level was made with the software FRAGSTAT and the moving window approach. Correlation analysis is used to identify relevant LSM serving as inputs; logistic regression was used to derive a final binary classifier for habitat suitability values. Three model variations with different sets of LSM are tested using the unstandardized regression coefficient. Results lead to an insight of the effect of each LSM but not on the strength of the effect. Furthermore, the predicted outcome is rather difficult to interpret as different units and scales for each LSM are used. Hence, we calculated the fourth model using the standardized regression coefficient. It harmonized the measurement units of the LSM and thus allowed a better comparison, interpretation, and evaluation.
Conclusion: Our research reveals that applying a statistical model using coarse data is effective to identify potential red deer habitats in a significant qualitative manner. The presented approach can be analogously applied to other mammals if the relevant structural requirements and empirical habitat suitability data (e.g. home range, biotopes, and food resources) are known. The habitat preferences of red deer are best described by LSM concerning area-relation and wildlife-edge relations. Most important are edges between meadows, pastures or agricultural field and forest, as well as short paths between those elements for food resources. A large proportion of forest is important for species survival and positively influences the occurrence of red deer. Outcomes help to understand species –habitat relation and on which scale wildlife perceives the landscape. In addition, they support the practical habitat management and thus the overall species diversity.
How to cite: McKenna, A., Schultz, A., Borg, E., Neumann, M., and Mund, J.-P.: Remote sensing and GIS based ecological modelling of potential red deer habitats in the test site region DEMMIN (TERENO), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19953, https://doi.org/10.5194/egusphere-egu2020-19953, 2020.
Introduction: The destruction of habitats has not only reduced biological diversity but also affected essential ecosystem services of the Central European cultural landscape. Therefore, in the further development of the cultural landscape and in the management of natural resources, special importance must be attached to the habitat demands of species and the preservation of ecosystem services. The study of ecosystem services has extended its influence into spatial planning and landscape ecology, the integration of which can offer an opportunity to enhance the saliency, credibility, and legitimacy of landscape ecology in spatial planning issues.
Objective: This paper proposes a methodology to detect red deer habitats for e.g. huntable game. The model is established on remote sensing based value-added information products, the derived landscape structure information and the use of spatially and temporally imprecise in-situ data (e.g. available hunting statistics). In order to realize this, four statistical model approaches were developed and their predictive performance assessed.
Methods: Altogether, our results indicate that based on the data mentioned above, modeling of habitats is possible using a coherent statistical model approach. All four models showed an overall classification of > 60% and in the best case 71,4%. The models based on logistic regression using preference data derived from 5-year hunting statistics, which has been interpreted as habitat suitability. The landscape metrics (LSM) will be calculated on the basis of the Global Forest Change dataset (HANSEN et al. 2013b ). The interpolation of landcover data into landscape-level was made with the software FRAGSTAT and the moving window approach. Correlation analysis is used to identify relevant LSM serving as inputs; logistic regression was used to derive a final binary classifier for habitat suitability values. Three model variations with different sets of LSM are tested using the unstandardized regression coefficient. Results lead to an insight of the effect of each LSM but not on the strength of the effect. Furthermore, the predicted outcome is rather difficult to interpret as different units and scales for each LSM are used. Hence, we calculated the fourth model using the standardized regression coefficient. It harmonized the measurement units of the LSM and thus allowed a better comparison, interpretation, and evaluation.
Conclusion: Our research reveals that applying a statistical model using coarse data is effective to identify potential red deer habitats in a significant qualitative manner. The presented approach can be analogously applied to other mammals if the relevant structural requirements and empirical habitat suitability data (e.g. home range, biotopes, and food resources) are known. The habitat preferences of red deer are best described by LSM concerning area-relation and wildlife-edge relations. Most important are edges between meadows, pastures or agricultural field and forest, as well as short paths between those elements for food resources. A large proportion of forest is important for species survival and positively influences the occurrence of red deer. Outcomes help to understand species –habitat relation and on which scale wildlife perceives the landscape. In addition, they support the practical habitat management and thus the overall species diversity.
How to cite: McKenna, A., Schultz, A., Borg, E., Neumann, M., and Mund, J.-P.: Remote sensing and GIS based ecological modelling of potential red deer habitats in the test site region DEMMIN (TERENO), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19953, https://doi.org/10.5194/egusphere-egu2020-19953, 2020.
EGU2020-21306 | Displays | BG2.7
Sun-Induced chlorophyll Fluorescence full spectrum retrieval and analysis of long-term time seriesIlaria Cesana, Sergio Cogliati, Marco Celesti, Tommaso Julitta, and Roberto Colombo
Remote sensing of Sun-Induced chlorophyll Fluorescence (SIF) represents a growing and promising area of research in support of the upcoming ESA’s FLEX (FLuorescence EXplorer) satellite mission. For this reason, the link between SIF and photosynthetic activity has been widely explored in the recent years, as tool to characterize and monitoring terrestrial ecosystems functioning.
The SIF detection is challenging because this faint signal (which represents only few percent of the total radiance) is over imposed on the light reflected from the Earth’s surface. Decoupling these two contributions is not trivial and dedicated algorithms are needed. For this reason, a novel SIF retrieval algorithm, named SpecFit, has been developed in order to retrieve the entire SIF spectrum in the entire wavelength interval in which chlorophyll fluorescence emission occurs (670-768 nm). This novel approach is able to disentangle SIF and reflectance contributions from the total radiance spectrum emerging from the top of canopy. Nevertheless, the further interpretation of the SIF spectrum in relation to plant photosynthesis is complicated by the fact that the SIF signal is strongly influenced by several biophysical parameters, such as canopy structure and chlorophyll content that affect the leaves/canopy radiation transfer and therefore the overall remote sensed signal.
The proposed work aims to verify first the SpecFit algorithm robustness on both simulated and field data and, second to investigate the potential of novel fluorescence indexes defined from the SIF full spectrum.
The algorithm accuracy has been tested on a set of simulated data, obtained by coupling MODTRAN (atmosphere) and SCOPE (canopy) radiative transfer models. Scatterplots between forward simulations and retrieved SIF showed R2 close to 0.98 considering all the evaluated metrics, namely: maximum of the peaks in the red and far-red and SIF spectrum integral.
The temporal series acquired during the ESA’s ATMOFlex and FLEXSense campaigns organised in an agricultural area in Braccagni (Tuscany, Italy) were, instead, used to test the algorithm on experimental measures acquired with FLOX spectrometers, from February to August on different crops (forage, alfalfa and corn). For the first time, SIF spectra observed on different vegetation species at different growing stages are presented in this work and their consistency with SIF values estimated by the more consolidated and widely used Spectral Fitting retrieval Method (SFM) are presented. The relationship found shows a linear regression slopes close to 1, intercepts approximately equal to 0 and R2 higher than 0.92 are all evidences of the SpecFit accuracy.
The final step consists in analysing the temporal evolution of novel fluorescence indexes derived from the SIF spectrum. Specifically, SpecFit SIF evaluated at 760 nm and 687 nm and normalized by the retrieved spectrum integral (SIFSpecFit/SIFINT) were compared to the index SIF760/SIF687, the latter is a proxy of the chlorophyll content. SIF760/SIF687 and SIF760/SIFINT increase linearly during the growing season due to re-absorption processes that affect both the indexes. Conversely, an inverse relationship is found between SIF760/SIF687and SIF687/SIFINT because the contribute in the visible red wavelengths to the integral become weaker at increasing biomass content.
How to cite: Cesana, I., Cogliati, S., Celesti, M., Julitta, T., and Colombo, R.: Sun-Induced chlorophyll Fluorescence full spectrum retrieval and analysis of long-term time series , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21306, https://doi.org/10.5194/egusphere-egu2020-21306, 2020.
Remote sensing of Sun-Induced chlorophyll Fluorescence (SIF) represents a growing and promising area of research in support of the upcoming ESA’s FLEX (FLuorescence EXplorer) satellite mission. For this reason, the link between SIF and photosynthetic activity has been widely explored in the recent years, as tool to characterize and monitoring terrestrial ecosystems functioning.
The SIF detection is challenging because this faint signal (which represents only few percent of the total radiance) is over imposed on the light reflected from the Earth’s surface. Decoupling these two contributions is not trivial and dedicated algorithms are needed. For this reason, a novel SIF retrieval algorithm, named SpecFit, has been developed in order to retrieve the entire SIF spectrum in the entire wavelength interval in which chlorophyll fluorescence emission occurs (670-768 nm). This novel approach is able to disentangle SIF and reflectance contributions from the total radiance spectrum emerging from the top of canopy. Nevertheless, the further interpretation of the SIF spectrum in relation to plant photosynthesis is complicated by the fact that the SIF signal is strongly influenced by several biophysical parameters, such as canopy structure and chlorophyll content that affect the leaves/canopy radiation transfer and therefore the overall remote sensed signal.
The proposed work aims to verify first the SpecFit algorithm robustness on both simulated and field data and, second to investigate the potential of novel fluorescence indexes defined from the SIF full spectrum.
The algorithm accuracy has been tested on a set of simulated data, obtained by coupling MODTRAN (atmosphere) and SCOPE (canopy) radiative transfer models. Scatterplots between forward simulations and retrieved SIF showed R2 close to 0.98 considering all the evaluated metrics, namely: maximum of the peaks in the red and far-red and SIF spectrum integral.
The temporal series acquired during the ESA’s ATMOFlex and FLEXSense campaigns organised in an agricultural area in Braccagni (Tuscany, Italy) were, instead, used to test the algorithm on experimental measures acquired with FLOX spectrometers, from February to August on different crops (forage, alfalfa and corn). For the first time, SIF spectra observed on different vegetation species at different growing stages are presented in this work and their consistency with SIF values estimated by the more consolidated and widely used Spectral Fitting retrieval Method (SFM) are presented. The relationship found shows a linear regression slopes close to 1, intercepts approximately equal to 0 and R2 higher than 0.92 are all evidences of the SpecFit accuracy.
The final step consists in analysing the temporal evolution of novel fluorescence indexes derived from the SIF spectrum. Specifically, SpecFit SIF evaluated at 760 nm and 687 nm and normalized by the retrieved spectrum integral (SIFSpecFit/SIFINT) were compared to the index SIF760/SIF687, the latter is a proxy of the chlorophyll content. SIF760/SIF687 and SIF760/SIFINT increase linearly during the growing season due to re-absorption processes that affect both the indexes. Conversely, an inverse relationship is found between SIF760/SIF687and SIF687/SIFINT because the contribute in the visible red wavelengths to the integral become weaker at increasing biomass content.
How to cite: Cesana, I., Cogliati, S., Celesti, M., Julitta, T., and Colombo, R.: Sun-Induced chlorophyll Fluorescence full spectrum retrieval and analysis of long-term time series , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21306, https://doi.org/10.5194/egusphere-egu2020-21306, 2020.
EGU2020-21412 | Displays | BG2.7
LESS: Large-scale remote sensing data and image simulation framework over Vegetated AreasJianbo Qi and Donghui Xie
Three-dimensional (3D) radiative transfer (RT) modeling and simulation of the transport of radiation through earth surfaces is a challenging and difficult task. The difficulties lie in the complexity of the landscapes and also the intensive computational cost of 3D RT simulations. Current models usually work with abstract landscape elements to reduce complexity or only consider relatively small realistic scenes. In this study, a new 3D RT modeling framework (called LESS) is proposed. It employs a forward photon tracing method to simulate bidirectional reflectance factor (BRF) or flux-related data (e.g., downwelling radiation) and a backward path tracing method to generate sensor images (e.g., fisheye images) or large-scale (e.g. 1 km2) spectral images from visible to thermal infrared band. In this framework, a graphic user interface (GUI) and a set of tools are also provided to help to construct the landscape and set parameters, e.g., extracting tree crowns from airborne LiDAR data, which makes it more accessible to common users. The accuracy of LESS is evaluated with other models and field measurements in terms of directional BRF and pixel-wise comparisons. It shows that the accuracy of LESS is consistent with the reference models from RAMI model inter-comparison website (http://rami-benchmark.jrc.ec.europa.eu/HTML/Home.php) as well as field measurements. LESS has also been extended to simulate atmosphere, LiDAR and in-situ sensors. It provides as a useful tool for studying the radiative transfer process over complex forest canopies from leaf to canopy scales. The simulated datasets can be used as benchmarks for validating other physical remote sensing inversion algorithm and developing parameterized models for retrieving bio-geophysical variables of canopy. LESS can be accessed from http://lessrt.org.
How to cite: Qi, J. and Xie, D.: LESS: Large-scale remote sensing data and image simulation framework over Vegetated Areas, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21412, https://doi.org/10.5194/egusphere-egu2020-21412, 2020.
Three-dimensional (3D) radiative transfer (RT) modeling and simulation of the transport of radiation through earth surfaces is a challenging and difficult task. The difficulties lie in the complexity of the landscapes and also the intensive computational cost of 3D RT simulations. Current models usually work with abstract landscape elements to reduce complexity or only consider relatively small realistic scenes. In this study, a new 3D RT modeling framework (called LESS) is proposed. It employs a forward photon tracing method to simulate bidirectional reflectance factor (BRF) or flux-related data (e.g., downwelling radiation) and a backward path tracing method to generate sensor images (e.g., fisheye images) or large-scale (e.g. 1 km2) spectral images from visible to thermal infrared band. In this framework, a graphic user interface (GUI) and a set of tools are also provided to help to construct the landscape and set parameters, e.g., extracting tree crowns from airborne LiDAR data, which makes it more accessible to common users. The accuracy of LESS is evaluated with other models and field measurements in terms of directional BRF and pixel-wise comparisons. It shows that the accuracy of LESS is consistent with the reference models from RAMI model inter-comparison website (http://rami-benchmark.jrc.ec.europa.eu/HTML/Home.php) as well as field measurements. LESS has also been extended to simulate atmosphere, LiDAR and in-situ sensors. It provides as a useful tool for studying the radiative transfer process over complex forest canopies from leaf to canopy scales. The simulated datasets can be used as benchmarks for validating other physical remote sensing inversion algorithm and developing parameterized models for retrieving bio-geophysical variables of canopy. LESS can be accessed from http://lessrt.org.
How to cite: Qi, J. and Xie, D.: LESS: Large-scale remote sensing data and image simulation framework over Vegetated Areas, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21412, https://doi.org/10.5194/egusphere-egu2020-21412, 2020.
BG2.8 – Application of Stable Isotopes in Biogeosciences
EGU2020-9273 | Displays | BG2.8
Stable iron isotope signals as indicators for iron reduction pathways in deep methanic sedimentsSusann Henkel, Bo Liu, Michael Staubwasser, Simone Kasemann, Anette Meixner, and Sabine Kasten
A number of studies have shown that iron reduction in marine sediments is not confined to sulfate- or sulfide-containing depths but may also affect deep methanic intervals. In particular dynamic depositional settings often show the release of dissolved iron below the sulphate-methane transition (SMT). The specific process behind this deep iron release is not well understood. It has been suggested that anaerobic oxidation of methane (AOM) mediated by Fe oxide reduction plays an important role. So there might be a close, so far unaccounted link between the Fe and C cycles in deep marine sediments.
Here we present a compilation of inorganic geochemical data including δ56Fe values of pore water and reactive Fe fractions for sediments of the Helgoland mud area (North Sea) for which a coupling between deep iron reduction and AOM has been proposed [1]. The sediments show a shallow SMT and increasing dissolved Fe concentrations of up to 400 µM further below. High sedimentation rates led to a fast burial and preservation of reactive Fe (oxyhydr)oxides, enabling deep iron reduction as we observe it today.
Isotopic fractionation of Fe has been demonstrated for DIR in culture experiments and in shallow marine sediments. Such studies build upon the principle that microbes preferentially utilize light Fe isotopes (54Fe) causing a fractionation between solid ferric and dissolved ferrous iron. For alternative biotic Fe reduction pathways in methanic environments, there are practically no data. We hypothesized that any microbially mediated iron reduction process would result in a similar preferential release of 54Fe and, thus, shift pore water δ56Fe towards negative values. Furthermore we hypothesized that the microbial utilization of a specific Fe (oxyhydr)oxide pool would result in a relative enrichment of 56Fe in the residual ferric substrate.
Close to the sediment-water interface pore water δ56Fe in the mud area is generally negative and shows a downward trend towards positive values as it can be expected for in-situ dissimilatory iron reduction (DIR) [2]. The Fe isotope signal close to the sulfidic interval is ~1‰ heavier than above and below as Fe sulfide precipitation preferentially removes 54Fe from pore water. A pronounced downward shift of pore-water δ56Fe to more negative values within the methanic zone is a clear indication for microbial Fe reduction coupled to organic matter degradation. However, this shift does not coincide with the main interval of Fe release for which potential for Fe-AOM had been demonstrated [1]. In this deeper interval, the released Fe has an isotopic composition that matches that of the ferric substrates. We conclude that either 1) Fe-AOM plays a subordinate role for Fe release at depth or 2) does not go along with significant Fe isotope fractionation, which might be explained by different ways of electron transfer between microbe and the iron oxide compared to DIR.
[1] Aromokeye, D. et al., 2019. Frontiers in Microbiology, doi: 10.3389/fmicb.2019.03041.
[2] Henkel, S. et al., 2016. Chemical Geology 421: 93-102.
How to cite: Henkel, S., Liu, B., Staubwasser, M., Kasemann, S., Meixner, A., and Kasten, S.: Stable iron isotope signals as indicators for iron reduction pathways in deep methanic sediments, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9273, https://doi.org/10.5194/egusphere-egu2020-9273, 2020.
A number of studies have shown that iron reduction in marine sediments is not confined to sulfate- or sulfide-containing depths but may also affect deep methanic intervals. In particular dynamic depositional settings often show the release of dissolved iron below the sulphate-methane transition (SMT). The specific process behind this deep iron release is not well understood. It has been suggested that anaerobic oxidation of methane (AOM) mediated by Fe oxide reduction plays an important role. So there might be a close, so far unaccounted link between the Fe and C cycles in deep marine sediments.
Here we present a compilation of inorganic geochemical data including δ56Fe values of pore water and reactive Fe fractions for sediments of the Helgoland mud area (North Sea) for which a coupling between deep iron reduction and AOM has been proposed [1]. The sediments show a shallow SMT and increasing dissolved Fe concentrations of up to 400 µM further below. High sedimentation rates led to a fast burial and preservation of reactive Fe (oxyhydr)oxides, enabling deep iron reduction as we observe it today.
Isotopic fractionation of Fe has been demonstrated for DIR in culture experiments and in shallow marine sediments. Such studies build upon the principle that microbes preferentially utilize light Fe isotopes (54Fe) causing a fractionation between solid ferric and dissolved ferrous iron. For alternative biotic Fe reduction pathways in methanic environments, there are practically no data. We hypothesized that any microbially mediated iron reduction process would result in a similar preferential release of 54Fe and, thus, shift pore water δ56Fe towards negative values. Furthermore we hypothesized that the microbial utilization of a specific Fe (oxyhydr)oxide pool would result in a relative enrichment of 56Fe in the residual ferric substrate.
Close to the sediment-water interface pore water δ56Fe in the mud area is generally negative and shows a downward trend towards positive values as it can be expected for in-situ dissimilatory iron reduction (DIR) [2]. The Fe isotope signal close to the sulfidic interval is ~1‰ heavier than above and below as Fe sulfide precipitation preferentially removes 54Fe from pore water. A pronounced downward shift of pore-water δ56Fe to more negative values within the methanic zone is a clear indication for microbial Fe reduction coupled to organic matter degradation. However, this shift does not coincide with the main interval of Fe release for which potential for Fe-AOM had been demonstrated [1]. In this deeper interval, the released Fe has an isotopic composition that matches that of the ferric substrates. We conclude that either 1) Fe-AOM plays a subordinate role for Fe release at depth or 2) does not go along with significant Fe isotope fractionation, which might be explained by different ways of electron transfer between microbe and the iron oxide compared to DIR.
[1] Aromokeye, D. et al., 2019. Frontiers in Microbiology, doi: 10.3389/fmicb.2019.03041.
[2] Henkel, S. et al., 2016. Chemical Geology 421: 93-102.
How to cite: Henkel, S., Liu, B., Staubwasser, M., Kasemann, S., Meixner, A., and Kasten, S.: Stable iron isotope signals as indicators for iron reduction pathways in deep methanic sediments, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9273, https://doi.org/10.5194/egusphere-egu2020-9273, 2020.
EGU2020-3343 | Displays | BG2.8
The dominant environmental driver of leaf water stable isotope enrichment differs for H-2 compared to O-18Matthias Cuntz and Lucas A Cernusak and the Isotopists
Several important isotopic biomarkers derive at least part of their signal from the stable isotope composition of leaf water (e.g., leaf wax δ2H, cellulose δ2H and δ18O, lignin δ18O). In order to interpret these isotopic proxies, it is therefore helpful to know which environmental variable most strongly controls a given leaf water stable isotope signal. We collated observations of the stable isotope compositions of leaf water, xylem water, and atmospheric vapour, along with air temperature and relative humidity, to test whether the dominant driver of leaf water 2H concentration could differ from that of 18O concentration. Our dataset comprises 690 observations from 35 sites with broad geographical coverage. We limited our analysis to daytime observations, when the photosynthetic processes that incorporate the leaf water isotopic signal primarily take place. The Craig-Gordon equation was generally a good predictor for daytime bulk leaf water stable isotope composition for both δ2H (R2=0.86, p<0.001) and δ18O (R2=0.63, p<0.001). It showed about 10% admixture of source water was caused by unenriched water pools such as leaf veins or the Péclet effect. Solving the Craig-Gordon equation requires knowledge of relative humidity, air temperature, and the stable isotope compositions of source water and atmospheric vapour. However, it is not possible to invert the Craig-Gordon equation to solve for one of these parameters unless the others are known. Here we show that the two isotopic signals of δ2H and δ18O are predominantly driven by different environmental variables: leaf water δ2H correlated most strongly with the δ2H of source water (R2=0.68, p<0.001) and atmospheric vapour (R2=0.63, p<0.001), whereas leaf water δ18O correlated most strongly with air relative humidity (R2=0.46, p<0.001). We conclude that these two isotopic signals of leaf water are not simply mirror images of the same environmental information, but carry distinct signals of different climate factors, with crucial implications for the interpretation of downstream isotopic biomarkers.
How to cite: Cuntz, M. and Cernusak, L. A. and the Isotopists: The dominant environmental driver of leaf water stable isotope enrichment differs for H-2 compared to O-18, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3343, https://doi.org/10.5194/egusphere-egu2020-3343, 2020.
Several important isotopic biomarkers derive at least part of their signal from the stable isotope composition of leaf water (e.g., leaf wax δ2H, cellulose δ2H and δ18O, lignin δ18O). In order to interpret these isotopic proxies, it is therefore helpful to know which environmental variable most strongly controls a given leaf water stable isotope signal. We collated observations of the stable isotope compositions of leaf water, xylem water, and atmospheric vapour, along with air temperature and relative humidity, to test whether the dominant driver of leaf water 2H concentration could differ from that of 18O concentration. Our dataset comprises 690 observations from 35 sites with broad geographical coverage. We limited our analysis to daytime observations, when the photosynthetic processes that incorporate the leaf water isotopic signal primarily take place. The Craig-Gordon equation was generally a good predictor for daytime bulk leaf water stable isotope composition for both δ2H (R2=0.86, p<0.001) and δ18O (R2=0.63, p<0.001). It showed about 10% admixture of source water was caused by unenriched water pools such as leaf veins or the Péclet effect. Solving the Craig-Gordon equation requires knowledge of relative humidity, air temperature, and the stable isotope compositions of source water and atmospheric vapour. However, it is not possible to invert the Craig-Gordon equation to solve for one of these parameters unless the others are known. Here we show that the two isotopic signals of δ2H and δ18O are predominantly driven by different environmental variables: leaf water δ2H correlated most strongly with the δ2H of source water (R2=0.68, p<0.001) and atmospheric vapour (R2=0.63, p<0.001), whereas leaf water δ18O correlated most strongly with air relative humidity (R2=0.46, p<0.001). We conclude that these two isotopic signals of leaf water are not simply mirror images of the same environmental information, but carry distinct signals of different climate factors, with crucial implications for the interpretation of downstream isotopic biomarkers.
How to cite: Cuntz, M. and Cernusak, L. A. and the Isotopists: The dominant environmental driver of leaf water stable isotope enrichment differs for H-2 compared to O-18, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3343, https://doi.org/10.5194/egusphere-egu2020-3343, 2020.
EGU2020-15250 | Displays | BG2.8 | Highlight
Regional characterization of N2O isotopic composition emitted from soils in view of land cover, agricultural management and annual cycles based on measurements and modelingBenjamin Wolf, Edwin Haas, David Kraus, Ralf Kiese, and Klaus Butterbach-Bahl
While the global budget of nitrous oxide (N2O) is rather well constrained from a “top-down” perspective considering the change in the atmospheric burden and stratospheric N2O destruction, estimates of the various sources such as natural/agricultural soils, coastal areas or fossil fuel burning and industry remain uncertain. The isotopic composition of N2O, i.e., the relative abundances of the four most abundant isotopic species (14N14N16O, 15N14N16O, 14N15N16O, and 14N14N18O) have been identified as instrumental tools for attributing emissions to the corresponding production-consumption processes and to estimate the global budget. During the past two decades, N2O isotopic composition of individual sources has been investigated, and temporal trends in the isotopic composition of atmospheric N2O have been studied using and firn air and archived air samples collected in Antarctica. With regard to 15N and 18O in atmospheric N2O, a decreasing trend was consistently observed across studies, but contradictory results have been obtained for site preference (SP), i.e., the difference in the abundances of 15N14N16O and 14N15N16O relative to 14N14N16O. In addition, N2O isotopic composition for natural or agricultural soils rely on a limited amount of studies and usually cover only parts of the annual cycle.
Since instruments used for optical isotope ratio spectroscopy (OIRS) can be deployed in the field, OIRS offers the opportunity to better characterize individual sources through long-term data in high temporal resolution. However, application of OIRS is challenging and, thus, remains scarce with regard to spatial resolution. For this reason, model-based regional estimates are pertinent to overcome the lack of regional estimates of N2O isotopic composition, to analyze trends, and to provide data for a refinement of the global budget.
To obtain regional-scale (Switzerland) model-based estimates of N2O isotopic composition, we used data sets of measured N2O isotopic composition of two sites that are based on OIRS, and applied the Stable Isotope MOdel for Nutrient cyclEs, SIMONE in conjunction with the biogeochemical model LandscapeDNDC. Our results show that SIMONE/LandscapeDNDC was capable of reflecting especially SP, but also 15N-N2O at sites with different soil properties. For agricultural soils, our simulations revealed an annual cycle in SP, with higher values during the growing season, but not for 15N-N2O. We will also discuss effects of agricultural management on N2O emissions as well as temporal trends.
How to cite: Wolf, B., Haas, E., Kraus, D., Kiese, R., and Butterbach-Bahl, K.: Regional characterization of N2O isotopic composition emitted from soils in view of land cover, agricultural management and annual cycles based on measurements and modeling, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-15250, https://doi.org/10.5194/egusphere-egu2020-15250, 2020.
While the global budget of nitrous oxide (N2O) is rather well constrained from a “top-down” perspective considering the change in the atmospheric burden and stratospheric N2O destruction, estimates of the various sources such as natural/agricultural soils, coastal areas or fossil fuel burning and industry remain uncertain. The isotopic composition of N2O, i.e., the relative abundances of the four most abundant isotopic species (14N14N16O, 15N14N16O, 14N15N16O, and 14N14N18O) have been identified as instrumental tools for attributing emissions to the corresponding production-consumption processes and to estimate the global budget. During the past two decades, N2O isotopic composition of individual sources has been investigated, and temporal trends in the isotopic composition of atmospheric N2O have been studied using and firn air and archived air samples collected in Antarctica. With regard to 15N and 18O in atmospheric N2O, a decreasing trend was consistently observed across studies, but contradictory results have been obtained for site preference (SP), i.e., the difference in the abundances of 15N14N16O and 14N15N16O relative to 14N14N16O. In addition, N2O isotopic composition for natural or agricultural soils rely on a limited amount of studies and usually cover only parts of the annual cycle.
Since instruments used for optical isotope ratio spectroscopy (OIRS) can be deployed in the field, OIRS offers the opportunity to better characterize individual sources through long-term data in high temporal resolution. However, application of OIRS is challenging and, thus, remains scarce with regard to spatial resolution. For this reason, model-based regional estimates are pertinent to overcome the lack of regional estimates of N2O isotopic composition, to analyze trends, and to provide data for a refinement of the global budget.
To obtain regional-scale (Switzerland) model-based estimates of N2O isotopic composition, we used data sets of measured N2O isotopic composition of two sites that are based on OIRS, and applied the Stable Isotope MOdel for Nutrient cyclEs, SIMONE in conjunction with the biogeochemical model LandscapeDNDC. Our results show that SIMONE/LandscapeDNDC was capable of reflecting especially SP, but also 15N-N2O at sites with different soil properties. For agricultural soils, our simulations revealed an annual cycle in SP, with higher values during the growing season, but not for 15N-N2O. We will also discuss effects of agricultural management on N2O emissions as well as temporal trends.
How to cite: Wolf, B., Haas, E., Kraus, D., Kiese, R., and Butterbach-Bahl, K.: Regional characterization of N2O isotopic composition emitted from soils in view of land cover, agricultural management and annual cycles based on measurements and modeling, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-15250, https://doi.org/10.5194/egusphere-egu2020-15250, 2020.
EGU2020-15179 | Displays | BG2.8
The recovery of the Shuram anomaly and paleoproductivity balanceFuencisla Cañadas Blasco, Dominic Papineau, Graham Shields, Maoyan Zhu, Chao Li, and Melanie J. Leng
The global Shuram anomaly records the longest and most negative carbonate carbon isotopic excursion in Earth history. It took place during the late Ediacaran (c. 570 – c. 551 Ma) with δ13Ccarbvalues down to −12‰. In South China, Doushantuo Formation Member IV (c. 555-551 Ma) consists mainly of organic-rich black shales and records the recovery of this anomaly, with values going from –6‰ to +0.5‰. The origin of this anomaly is thought to be related to the existence of a vast pool of dissolve organic carbon (DOC) in the ocean that was episodically oxidized thereby providing a source of 13C-depleted inorganic carbon. However, the main processes that ultimately drove to its recovery remain elusive. Here, we present new δ13Corgand δ15N dataset along a shelf-to-basin transect of the Nanhua basin (South China) as robust organic proxies to reconstruct the spatial and temporal evolution of paleoproductivity at basin scale. In addition, Raman spectroscopy is used to assess the thermal maturity of the samples. These new results define areas of high primary productivity and suggest the existence of an oxygen minimum zone (OMZ) together with other reduced oxic areas. From base to top of Member IV, the observed increasing and covariant trends in δ13Ccarb and δ13Corgdata together with a decreasing drift in δ15N values in platform and mid-lower slope environments are interpreted as areas where primary productivity became the main source of organic matter. Conversely, decreasing trends in δ13Ccarb and δ13Corg data together with invariant δ15N values in the upper slope and deep basin environments are interpreted as areas where reduced DOC dominated as the principal source or organic carbon. Based on that, we propose that a new balance was established between primary and secondary paleoproductivity, whereby the former succeeded to the latter as one of the principal contributors that led to the carbon isotope recovery in carbonates. This new model represents a plausible solution to the enigmatic negative δ13Ccarbisotopic excursion of the late Ediacaran.
How to cite: Cañadas Blasco, F., Papineau, D., Shields, G., Zhu, M., Li, C., and Leng, M. J.: The recovery of the Shuram anomaly and paleoproductivity balance, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-15179, https://doi.org/10.5194/egusphere-egu2020-15179, 2020.
The global Shuram anomaly records the longest and most negative carbonate carbon isotopic excursion in Earth history. It took place during the late Ediacaran (c. 570 – c. 551 Ma) with δ13Ccarbvalues down to −12‰. In South China, Doushantuo Formation Member IV (c. 555-551 Ma) consists mainly of organic-rich black shales and records the recovery of this anomaly, with values going from –6‰ to +0.5‰. The origin of this anomaly is thought to be related to the existence of a vast pool of dissolve organic carbon (DOC) in the ocean that was episodically oxidized thereby providing a source of 13C-depleted inorganic carbon. However, the main processes that ultimately drove to its recovery remain elusive. Here, we present new δ13Corgand δ15N dataset along a shelf-to-basin transect of the Nanhua basin (South China) as robust organic proxies to reconstruct the spatial and temporal evolution of paleoproductivity at basin scale. In addition, Raman spectroscopy is used to assess the thermal maturity of the samples. These new results define areas of high primary productivity and suggest the existence of an oxygen minimum zone (OMZ) together with other reduced oxic areas. From base to top of Member IV, the observed increasing and covariant trends in δ13Ccarb and δ13Corgdata together with a decreasing drift in δ15N values in platform and mid-lower slope environments are interpreted as areas where primary productivity became the main source of organic matter. Conversely, decreasing trends in δ13Ccarb and δ13Corg data together with invariant δ15N values in the upper slope and deep basin environments are interpreted as areas where reduced DOC dominated as the principal source or organic carbon. Based on that, we propose that a new balance was established between primary and secondary paleoproductivity, whereby the former succeeded to the latter as one of the principal contributors that led to the carbon isotope recovery in carbonates. This new model represents a plausible solution to the enigmatic negative δ13Ccarbisotopic excursion of the late Ediacaran.
How to cite: Cañadas Blasco, F., Papineau, D., Shields, G., Zhu, M., Li, C., and Leng, M. J.: The recovery of the Shuram anomaly and paleoproductivity balance, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-15179, https://doi.org/10.5194/egusphere-egu2020-15179, 2020.
EGU2020-8122 | Displays | BG2.8
Sediment mobilisation in Lake Alaotra catchment, MadagascarVao Fenotiana Razanamahandry, Liesa Brosens, Marjolein Dewaele, Liesbet Jacobs, Campforts Benjamin, Nils Broothaerts, Gert Verstraeten, Tantely Razafimbelo, Tovonarivo Rafolisy, Gerard Govers, and Steven Bouillon
Madagascar shows very high erosion rates and, in some regions, the landscape is dotted by major gullies called “lavaka”. Lavaka are also very frequent in the surroundings of Lake Alaotra, a large, shallow lake in the Malagasy highlands. A central question with respect to landscape evolution in Madagascar is to what extent human impact has triggered environmental change in terms of vegetation, erosion rates (lavaka formation) and sediment dynamics. Sedimentary archives in lakes such as lake Alaotra can be of great help to resolve this question provided that we understand how sediment and carbon are mobilised and transported through the landscape.
In this study, we traced pathways of sediment and carbon fluxes through this eroding landscape, from the eroded hillslopes over various sediment deposition zones (floodplains, reservoirs, marshes..) to Lake Alaotra. Detailed profiles taken along convex hillslope transects (grasslands and primary forest), in the marsh peat, floodplains and lake were analyzed for carbon and nitrogen content, texture, and stable carbon isotope ratios (δ13C). Along the grassland hillslopes, soil OC content is extremely low, from 0.4 to 1.8% in the top layer and rapidly decreasing to <0.2 % below 100 cm depth. The current vegetation predominantly consists of C4 grasses (δ13C ~-13 ‰), yet soil δ13C ranges between -24 and -18‰, and most profiles show a decrease in δ13C with the depth – in contrast to observations in most C3-dominated systems. Contrary to our expectations, Lake Alaotra was found not to be a major sink of hillslope-derived sediments and/or carbon. Sediment cores from different parts of the lake have high OC contents (5 to 18%) and contain only minor amounts of sand, the dominant grain size class on the hillslopes. The high OC content of the lake sediments, in combination with data on C/N ratios and δ13C indicate that the OC in the lake sediments is mainly derived from the surrounding marshes and in situ primary production rather than from terrestrial C eroded from the catchment. Floodplains are likely a key sink for soil-derived sediments: similar to hillslope soils, sediment profiles in the floodplains show a low %OC and relatively high δ13C values ranging between -21 and -14‰.
We conclude that most of the detritic sediments and carbon mobilised on the hillslopes through erosion do not reach lake Alaotra, even though erosion rates in the landscape are extremely high. Studying sedimentary profiles in the lake may provide information on environmental change (e.g. through changes in carbon contents and/or characteristics) but is insufficient to understand the entire sediment and carbon cascades in the Malagasy landscape.
How to cite: Razanamahandry, V. F., Brosens, L., Dewaele, M., Jacobs, L., Benjamin, C., Broothaerts, N., Verstraeten, G., Razafimbelo, T., Rafolisy, T., Govers, G., and Bouillon, S.: Sediment mobilisation in Lake Alaotra catchment, Madagascar , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8122, https://doi.org/10.5194/egusphere-egu2020-8122, 2020.
Madagascar shows very high erosion rates and, in some regions, the landscape is dotted by major gullies called “lavaka”. Lavaka are also very frequent in the surroundings of Lake Alaotra, a large, shallow lake in the Malagasy highlands. A central question with respect to landscape evolution in Madagascar is to what extent human impact has triggered environmental change in terms of vegetation, erosion rates (lavaka formation) and sediment dynamics. Sedimentary archives in lakes such as lake Alaotra can be of great help to resolve this question provided that we understand how sediment and carbon are mobilised and transported through the landscape.
In this study, we traced pathways of sediment and carbon fluxes through this eroding landscape, from the eroded hillslopes over various sediment deposition zones (floodplains, reservoirs, marshes..) to Lake Alaotra. Detailed profiles taken along convex hillslope transects (grasslands and primary forest), in the marsh peat, floodplains and lake were analyzed for carbon and nitrogen content, texture, and stable carbon isotope ratios (δ13C). Along the grassland hillslopes, soil OC content is extremely low, from 0.4 to 1.8% in the top layer and rapidly decreasing to <0.2 % below 100 cm depth. The current vegetation predominantly consists of C4 grasses (δ13C ~-13 ‰), yet soil δ13C ranges between -24 and -18‰, and most profiles show a decrease in δ13C with the depth – in contrast to observations in most C3-dominated systems. Contrary to our expectations, Lake Alaotra was found not to be a major sink of hillslope-derived sediments and/or carbon. Sediment cores from different parts of the lake have high OC contents (5 to 18%) and contain only minor amounts of sand, the dominant grain size class on the hillslopes. The high OC content of the lake sediments, in combination with data on C/N ratios and δ13C indicate that the OC in the lake sediments is mainly derived from the surrounding marshes and in situ primary production rather than from terrestrial C eroded from the catchment. Floodplains are likely a key sink for soil-derived sediments: similar to hillslope soils, sediment profiles in the floodplains show a low %OC and relatively high δ13C values ranging between -21 and -14‰.
We conclude that most of the detritic sediments and carbon mobilised on the hillslopes through erosion do not reach lake Alaotra, even though erosion rates in the landscape are extremely high. Studying sedimentary profiles in the lake may provide information on environmental change (e.g. through changes in carbon contents and/or characteristics) but is insufficient to understand the entire sediment and carbon cascades in the Malagasy landscape.
How to cite: Razanamahandry, V. F., Brosens, L., Dewaele, M., Jacobs, L., Benjamin, C., Broothaerts, N., Verstraeten, G., Razafimbelo, T., Rafolisy, T., Govers, G., and Bouillon, S.: Sediment mobilisation in Lake Alaotra catchment, Madagascar , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8122, https://doi.org/10.5194/egusphere-egu2020-8122, 2020.
EGU2020-13835 | Displays | BG2.8
Compound Specific Stable Sulfur Isotope Analysis (δ34S and δ33S) of Organic Compounds Using Gas Chromatography Hyphenated with Multiple Collector Inductively Coupled Plasma Mass Spectrometry (GC-MC-ICPMS)Kümmel Steffen, Gelman Faina, Horst Axel, Strauß Harald, and Gehre Matthias
Stable sulfur isotope analysis is potentially applicable in various fields in forensics and environmental analytics to investigate the sources and degradation of organic compounds, many of them being priority pollutants in groundwater and the atmosphere. A broader use of sulfur isotopes of organic compounds in environmental studies is still hampered by the availability of precise and easy-to-use techniques. Here we present a method for the determination of stable sulfur isotope ratios using gas chromatography coupled with multiple-collector inductively coupled plasma mass spectrometry (GC-MC-ICPMS) which can be used for both δ34S and δ33S analysis. The method was evaluated using the reference materials IAEA-S-1, IAEA-S-2 and IAEA-S-3 which were converted offline to SF6 prior to analysis. Standardization was carried out by using a two-point calibration approach. The δ34S values obtained by our method are in good agreement (within analytical uncertainty) with the results obtained by the conventional dual inlet method. Additionally, the impact of the used mass resolution (low and medium), the influence of auto-protonation of sulfur isotopes and the effect of isobaric interferences of O2+ on the obtained isotopic ratios was investigated. The analytical precision (1σ) for δ34S and δ33S values was usually better than ±0.1 ‰ for analytes containing >0.1 nmol S. Thus, the presented compound-specific online method should be sufficiently precise to address a wide variety of research questions involving mass independent isotope effects of sulfur-containing organic compounds to discriminate sources or biological and chemical reactions in the environment.
How to cite: Steffen, K., Faina, G., Axel, H., Harald, S., and Matthias, G.: Compound Specific Stable Sulfur Isotope Analysis (δ34S and δ33S) of Organic Compounds Using Gas Chromatography Hyphenated with Multiple Collector Inductively Coupled Plasma Mass Spectrometry (GC-MC-ICPMS), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13835, https://doi.org/10.5194/egusphere-egu2020-13835, 2020.
Stable sulfur isotope analysis is potentially applicable in various fields in forensics and environmental analytics to investigate the sources and degradation of organic compounds, many of them being priority pollutants in groundwater and the atmosphere. A broader use of sulfur isotopes of organic compounds in environmental studies is still hampered by the availability of precise and easy-to-use techniques. Here we present a method for the determination of stable sulfur isotope ratios using gas chromatography coupled with multiple-collector inductively coupled plasma mass spectrometry (GC-MC-ICPMS) which can be used for both δ34S and δ33S analysis. The method was evaluated using the reference materials IAEA-S-1, IAEA-S-2 and IAEA-S-3 which were converted offline to SF6 prior to analysis. Standardization was carried out by using a two-point calibration approach. The δ34S values obtained by our method are in good agreement (within analytical uncertainty) with the results obtained by the conventional dual inlet method. Additionally, the impact of the used mass resolution (low and medium), the influence of auto-protonation of sulfur isotopes and the effect of isobaric interferences of O2+ on the obtained isotopic ratios was investigated. The analytical precision (1σ) for δ34S and δ33S values was usually better than ±0.1 ‰ for analytes containing >0.1 nmol S. Thus, the presented compound-specific online method should be sufficiently precise to address a wide variety of research questions involving mass independent isotope effects of sulfur-containing organic compounds to discriminate sources or biological and chemical reactions in the environment.
How to cite: Steffen, K., Faina, G., Axel, H., Harald, S., and Matthias, G.: Compound Specific Stable Sulfur Isotope Analysis (δ34S and δ33S) of Organic Compounds Using Gas Chromatography Hyphenated with Multiple Collector Inductively Coupled Plasma Mass Spectrometry (GC-MC-ICPMS), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13835, https://doi.org/10.5194/egusphere-egu2020-13835, 2020.
EGU2020-14997 | Displays | BG2.8
Isotope insights into sulfate loads and sulfur cycling in a heavily polluted river networkTobias Goldhammer and Juliane Lenz
Sulfate isotopes in a heavily polluted river network
Tobias Goldhammer1, Juliane Lenz2
1Leibniz-Institute for Freshwater Ecology and Inland Fisheries, Department of Chemical Analytics and Biogeochemistry, Berlin, Germany
2University of Bremen, Department of Geosciences, Germany
The Spree is the major river system in NE Germany, with about 380km in length and a catchment of more than 10,000 km2. While intensive open pit lignite mining in the upper catchment has significantly altered the hydrology and hydrochemistry over the last century, River Spree is at the same time a critical supplier of drinking water to the city of Berlin. Acid mine drainage is the major contributor to the river water sulfate load, which frequently exceeds the drinking water limit of 250mg L-1. Increasing summer drought and low-flow regimes are projected to intensify this situation in the future. The sulfate pollution in River Spree has induced a significant shift in biogeochemical regimes, in particular in those compartments of the river network where low flow velocity is supportive to sediment accumulation and bacterial sulfate reduction. Secondary effects include the mobility of iron and phosphorus, and entail critical consequences for the aquatic ecosystem.
In this contribution, we discuss the results of an integrated study of hydrochemistry and sulfate and water isotopes in the Spree river network. We put particular emphasis on
(1) Differentiating major geographic and functional sulfate sources and sinks in the Spree river network based on sulfur and oxygen isotopes in river sulfate
(2) Quantifying these sources and sinks by simple endmember models, and identifying limitations of this approach
(3) The role of biogeochemical sulfur cycling (reduction/reoxidation cycles and intermediates) in retention spaces of the river network and the consequence for prevailing isotope signatures.
How to cite: Goldhammer, T. and Lenz, J.: Isotope insights into sulfate loads and sulfur cycling in a heavily polluted river network, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-14997, https://doi.org/10.5194/egusphere-egu2020-14997, 2020.
Sulfate isotopes in a heavily polluted river network
Tobias Goldhammer1, Juliane Lenz2
1Leibniz-Institute for Freshwater Ecology and Inland Fisheries, Department of Chemical Analytics and Biogeochemistry, Berlin, Germany
2University of Bremen, Department of Geosciences, Germany
The Spree is the major river system in NE Germany, with about 380km in length and a catchment of more than 10,000 km2. While intensive open pit lignite mining in the upper catchment has significantly altered the hydrology and hydrochemistry over the last century, River Spree is at the same time a critical supplier of drinking water to the city of Berlin. Acid mine drainage is the major contributor to the river water sulfate load, which frequently exceeds the drinking water limit of 250mg L-1. Increasing summer drought and low-flow regimes are projected to intensify this situation in the future. The sulfate pollution in River Spree has induced a significant shift in biogeochemical regimes, in particular in those compartments of the river network where low flow velocity is supportive to sediment accumulation and bacterial sulfate reduction. Secondary effects include the mobility of iron and phosphorus, and entail critical consequences for the aquatic ecosystem.
In this contribution, we discuss the results of an integrated study of hydrochemistry and sulfate and water isotopes in the Spree river network. We put particular emphasis on
(1) Differentiating major geographic and functional sulfate sources and sinks in the Spree river network based on sulfur and oxygen isotopes in river sulfate
(2) Quantifying these sources and sinks by simple endmember models, and identifying limitations of this approach
(3) The role of biogeochemical sulfur cycling (reduction/reoxidation cycles and intermediates) in retention spaces of the river network and the consequence for prevailing isotope signatures.
How to cite: Goldhammer, T. and Lenz, J.: Isotope insights into sulfate loads and sulfur cycling in a heavily polluted river network, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-14997, https://doi.org/10.5194/egusphere-egu2020-14997, 2020.
EGU2020-19889 | Displays | BG2.8
High-precision stable isotope analysis of less than 5 microgram carbonate samples by continuous-flow mass spectrometryHubert Vonhof, Stefan de Graaf, Howard Spero, Ralf Schiebel, Suzan Verdegaal-Warmerdam, Brett Metcalfe, and Gerald Haug
Stable isotope analysis of biogenic carbonates has remained one of the most important tools in paleoceanography since Emiliani (1955) first described the fluctuation of oxygen isotopes in planktic foraminifers over the Pleistocene. Many laboratories now possess equipment with the capability to analyse foraminifer specimens singularly, at least for larger planktic forms.
Being able to run single specimens of planktic foraminifers is significant, because it yields entirely different information than when one would analyse multiple specimens from the same species. Planktic foraminifers have an average life span of about one month, so analysing single specimens, makes paleoceanographic data at seasonal resolution available (e.g. Ganssen et al., 2011; Metcalfe et al 2019, and references therein).
Most modern equipment for stable isotope analysis of CaCO3 samples yields good precision down to 10 microgram sample size. The smallest samples are generally measured with a dual inlet technique, because that quantitatively collects the CO2 gas sample in a cold trap before analysis, leading to a more efficient use of the sample gas. Modern dual inlet equipment has a sample size limit somewhere between 10 and 6 microgram CaCO3 sample weight, and in that range usually operates at increased analytical uncertainty when compared to larger samples (e.g. Ganssen et al., 2011). Smaller samples are problematic, because at small amounts of sample gas, the dual inlet system is not able to maintain viscous flow conditions required for precise isotope analysis. To circumvent that barrier, one can use continuous-flow (CF) mass spectrometry because in CF systems the carrier gas ensures proper flow conditions even if there is (virtually) no sample gas produced. Doing so has previously allowed for the isotope analysis of CaCO3 samples in the 10 – 6 microgram range at an external precision (1SD) of ~0.12‰ for both δ18O and δ13C (e.g. Metcalfe et al 2019).
To further improve the performance of CF mass spectrometry for small CaCO3 samples, we ran experiments on a Thermo GASBENCH system, equipped with a cold trap (cf. Fiebig et al 2005) and interfaced with a Delta-V mass spectrometer. The experiments consisted of replicate analysis of CaCO3 standards between 10 and 3 micrograms in weight, which is the weight range of many of the smaller specimens of planktic foraminifers.
Several hardware modifications were implemented to improve system stability and remove observed effects of contribution of blank CO2 building up in the sample vials. With these modifications, external reproducibility of the set-up for carbonate standard aliquots between 10 and 4 microgram reached a precision of ~0.10 ‰ for both δ18O and δ13C (1SD). This is similar to precisions typically attained for routine analysis of much larger samples in standard operation on the same equipment, and demonstrates that precise stable isotope analysis of smaller single-specimen planktic foraminifers than we could achieve so far is within reach of CF mass spectrometry.
References:
Emiliani, C. 1955, DOI: 10.1086/626295
Fiebig, J., et al. 2005, DOI: 10.1002/rcm.2060
Ganssen, G.M., et al., 2011, DOI:10.5194/cp-7-1337-2011
Metcalfe, B., et al., 2019, DOI: 10.1029/2018PA003475
How to cite: Vonhof, H., de Graaf, S., Spero, H., Schiebel, R., Verdegaal-Warmerdam, S., Metcalfe, B., and Haug, G.: High-precision stable isotope analysis of less than 5 microgram carbonate samples by continuous-flow mass spectrometry, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19889, https://doi.org/10.5194/egusphere-egu2020-19889, 2020.
Stable isotope analysis of biogenic carbonates has remained one of the most important tools in paleoceanography since Emiliani (1955) first described the fluctuation of oxygen isotopes in planktic foraminifers over the Pleistocene. Many laboratories now possess equipment with the capability to analyse foraminifer specimens singularly, at least for larger planktic forms.
Being able to run single specimens of planktic foraminifers is significant, because it yields entirely different information than when one would analyse multiple specimens from the same species. Planktic foraminifers have an average life span of about one month, so analysing single specimens, makes paleoceanographic data at seasonal resolution available (e.g. Ganssen et al., 2011; Metcalfe et al 2019, and references therein).
Most modern equipment for stable isotope analysis of CaCO3 samples yields good precision down to 10 microgram sample size. The smallest samples are generally measured with a dual inlet technique, because that quantitatively collects the CO2 gas sample in a cold trap before analysis, leading to a more efficient use of the sample gas. Modern dual inlet equipment has a sample size limit somewhere between 10 and 6 microgram CaCO3 sample weight, and in that range usually operates at increased analytical uncertainty when compared to larger samples (e.g. Ganssen et al., 2011). Smaller samples are problematic, because at small amounts of sample gas, the dual inlet system is not able to maintain viscous flow conditions required for precise isotope analysis. To circumvent that barrier, one can use continuous-flow (CF) mass spectrometry because in CF systems the carrier gas ensures proper flow conditions even if there is (virtually) no sample gas produced. Doing so has previously allowed for the isotope analysis of CaCO3 samples in the 10 – 6 microgram range at an external precision (1SD) of ~0.12‰ for both δ18O and δ13C (e.g. Metcalfe et al 2019).
To further improve the performance of CF mass spectrometry for small CaCO3 samples, we ran experiments on a Thermo GASBENCH system, equipped with a cold trap (cf. Fiebig et al 2005) and interfaced with a Delta-V mass spectrometer. The experiments consisted of replicate analysis of CaCO3 standards between 10 and 3 micrograms in weight, which is the weight range of many of the smaller specimens of planktic foraminifers.
Several hardware modifications were implemented to improve system stability and remove observed effects of contribution of blank CO2 building up in the sample vials. With these modifications, external reproducibility of the set-up for carbonate standard aliquots between 10 and 4 microgram reached a precision of ~0.10 ‰ for both δ18O and δ13C (1SD). This is similar to precisions typically attained for routine analysis of much larger samples in standard operation on the same equipment, and demonstrates that precise stable isotope analysis of smaller single-specimen planktic foraminifers than we could achieve so far is within reach of CF mass spectrometry.
References:
Emiliani, C. 1955, DOI: 10.1086/626295
Fiebig, J., et al. 2005, DOI: 10.1002/rcm.2060
Ganssen, G.M., et al., 2011, DOI:10.5194/cp-7-1337-2011
Metcalfe, B., et al., 2019, DOI: 10.1029/2018PA003475
How to cite: Vonhof, H., de Graaf, S., Spero, H., Schiebel, R., Verdegaal-Warmerdam, S., Metcalfe, B., and Haug, G.: High-precision stable isotope analysis of less than 5 microgram carbonate samples by continuous-flow mass spectrometry, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19889, https://doi.org/10.5194/egusphere-egu2020-19889, 2020.
EGU2020-20095 | Displays | BG2.8
Stable isotope analysis for control of declared geographic origin of Austrian and Slovak apricots: The IDARPO-Interreg-Project (AT-SK)Micha Horacek
Food products of certain geographic origin are more valued by consumers than the same commodities from other regions. Therefore, there is the risk and fear that incorrect labelling and declaration of geographic origin can occur to increase profit. Thus, a control of declared geographic origin is required to ensure correct labelling and to identify fraud.
For this purpose, apricot samples of the recent vintage (2019) are investigated to differentiate samples from different apricot-producing regions in Austria, Slovakia and other countries. The isotope composition of the elements hydrogen (H), carbon (C), nitrogen (N) and oxygen (O) of fruit pulp (H, C, N, O), fruit stone (H, C, O) and fruit juice (O) is analysed to find appropriate parameters for the differentiation of geographic origin. The investigation of different sample tissues (pulp, stone, juice) supports a better differentiation of geographic origin due to different seasonal intervals influencing the respective commodities.
Within the frame of the project 3 vintages will be investigated and analysed for stable isotopes as well as other analytical techniques (molecular markers). The combination of all sample data (including previously accumulated data, e.g. Horacek 2017, Horacek 2019) will lead to an improved differentiation and identification of geographic origin.
This work is a contribution to the Interreg project IDARPO partially funded by the EU-Interreg program.
References:
Horacek, M., 2017, Isotope investigation of apricots from the Wachau-area/Lower Austria („Wachauer Marille“) to control the declared geographic origin: A pilot study – first results. Mitteilungen Klosterneuburg. 67, p. 219-228.
Horacek, M., 2019, Stable isotope analysis for control of declared geographic origin of Austrian apricots. EGU 2019, Vienna.
How to cite: Horacek, M.: Stable isotope analysis for control of declared geographic origin of Austrian and Slovak apricots: The IDARPO-Interreg-Project (AT-SK) , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20095, https://doi.org/10.5194/egusphere-egu2020-20095, 2020.
Food products of certain geographic origin are more valued by consumers than the same commodities from other regions. Therefore, there is the risk and fear that incorrect labelling and declaration of geographic origin can occur to increase profit. Thus, a control of declared geographic origin is required to ensure correct labelling and to identify fraud.
For this purpose, apricot samples of the recent vintage (2019) are investigated to differentiate samples from different apricot-producing regions in Austria, Slovakia and other countries. The isotope composition of the elements hydrogen (H), carbon (C), nitrogen (N) and oxygen (O) of fruit pulp (H, C, N, O), fruit stone (H, C, O) and fruit juice (O) is analysed to find appropriate parameters for the differentiation of geographic origin. The investigation of different sample tissues (pulp, stone, juice) supports a better differentiation of geographic origin due to different seasonal intervals influencing the respective commodities.
Within the frame of the project 3 vintages will be investigated and analysed for stable isotopes as well as other analytical techniques (molecular markers). The combination of all sample data (including previously accumulated data, e.g. Horacek 2017, Horacek 2019) will lead to an improved differentiation and identification of geographic origin.
This work is a contribution to the Interreg project IDARPO partially funded by the EU-Interreg program.
References:
Horacek, M., 2017, Isotope investigation of apricots from the Wachau-area/Lower Austria („Wachauer Marille“) to control the declared geographic origin: A pilot study – first results. Mitteilungen Klosterneuburg. 67, p. 219-228.
Horacek, M., 2019, Stable isotope analysis for control of declared geographic origin of Austrian apricots. EGU 2019, Vienna.
How to cite: Horacek, M.: Stable isotope analysis for control of declared geographic origin of Austrian and Slovak apricots: The IDARPO-Interreg-Project (AT-SK) , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20095, https://doi.org/10.5194/egusphere-egu2020-20095, 2020.
EGU2020-8056 | Displays | BG2.8
Stable carbon and oxygen isotope variability of modern pollen from nine abundant European tree species.Carolina Müller, Manja Hethke, Frank Riedel, and Gerhard Helle
A detailed understanding of the carbon and oxygen isotope ratios of modern pollen is crucial for the interpretation of fossil δ13Cpollen and δ18Opollen values. To broaden our knowledge of pollen-isotope ratios we investigated the isotope ranges of nine abundant tree species from central and northern Europe (vegetation periods 2015 and 2016).
In general, the isotope values of modern pollen are highly species-specific and yield site-specific patterns. Trees of different locations revealed distinct δ13Cpollen and δ18Opollen patterns for maritime and continental growing conditions and for high and low altitudes. Furthermore, pollen-isotope ratios reflect the time of blossoming. δ13Cpollen values of broad-leaved species flowering before leaf proliferation (Janurary to March; Alnus glutinosa and Corylus avellana) are on average 2.6‰ lower in comparison to broad-leaved and coniferous trees flowering during late spring and early summer (April to June; Acer pseudoplatanus, Betula pendula, Carpinus betulus, Fagus sylvatica, Picea abies, Pinus sylvestris and Quercus robur). δ18Opollen values yielded similar results, which are on average 3.1‰ lower for species flowering early in the year. An intra-annual analysis of Betula pendula and Pinus sylvestris pollen revealed increased δ18Opollen values during the last stages of pollen-maturation, whereas δ13Cpollen values of both species remain consistent during late pollen development. Additionally, pollen-isotope values vary markedly within individual trees. Circumferential and height-dependent variations within single trees can be as high as 3.5‰ for δ13Cpollen and 2.1‰ for δ18Opollen.
Our results suggest that local environmental conditions are generally reflected in the carbon and oxygen pollen-isotopes, but some species seem to reflect the conditions more closely than others. The data indicate that it may even be feasible to reconstruct intra-annual climate conditions by analysing isotopes of species whose pollen develop during different seasons throughout the year.
How to cite: Müller, C., Hethke, M., Riedel, F., and Helle, G.: Stable carbon and oxygen isotope variability of modern pollen from nine abundant European tree species., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8056, https://doi.org/10.5194/egusphere-egu2020-8056, 2020.
A detailed understanding of the carbon and oxygen isotope ratios of modern pollen is crucial for the interpretation of fossil δ13Cpollen and δ18Opollen values. To broaden our knowledge of pollen-isotope ratios we investigated the isotope ranges of nine abundant tree species from central and northern Europe (vegetation periods 2015 and 2016).
In general, the isotope values of modern pollen are highly species-specific and yield site-specific patterns. Trees of different locations revealed distinct δ13Cpollen and δ18Opollen patterns for maritime and continental growing conditions and for high and low altitudes. Furthermore, pollen-isotope ratios reflect the time of blossoming. δ13Cpollen values of broad-leaved species flowering before leaf proliferation (Janurary to March; Alnus glutinosa and Corylus avellana) are on average 2.6‰ lower in comparison to broad-leaved and coniferous trees flowering during late spring and early summer (April to June; Acer pseudoplatanus, Betula pendula, Carpinus betulus, Fagus sylvatica, Picea abies, Pinus sylvestris and Quercus robur). δ18Opollen values yielded similar results, which are on average 3.1‰ lower for species flowering early in the year. An intra-annual analysis of Betula pendula and Pinus sylvestris pollen revealed increased δ18Opollen values during the last stages of pollen-maturation, whereas δ13Cpollen values of both species remain consistent during late pollen development. Additionally, pollen-isotope values vary markedly within individual trees. Circumferential and height-dependent variations within single trees can be as high as 3.5‰ for δ13Cpollen and 2.1‰ for δ18Opollen.
Our results suggest that local environmental conditions are generally reflected in the carbon and oxygen pollen-isotopes, but some species seem to reflect the conditions more closely than others. The data indicate that it may even be feasible to reconstruct intra-annual climate conditions by analysing isotopes of species whose pollen develop during different seasons throughout the year.
How to cite: Müller, C., Hethke, M., Riedel, F., and Helle, G.: Stable carbon and oxygen isotope variability of modern pollen from nine abundant European tree species., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8056, https://doi.org/10.5194/egusphere-egu2020-8056, 2020.
EGU2020-13976 | Displays | BG2.8
Tracing leaf litter-derived 15N to mineral soil organic matter in forests of different agesColin Fuss, Gary Lovett, Christine Goodale, Scott Ollinger, Ashley Lang, and Andrew Ouimette
Forest soils are important for retaining nitrogen (N), especially in areas where anthropogenic activities have led to historically high inputs of N. As forests age and their N demands for biomass accumulation decline, the capacity for N retention of soils may change as well, although little work has been done to further our understanding of this process. We conducted a mineral soil reciprocal transplant study in three northern hardwood forests of different ages (young, recently mature, and old growth) in New Hampshire, USA to determine how the retention of isotopically labeled nitrogen from leaf litter would differ depending on characteristics of the incubated soil’s origin and destination. After 18 months of incubating the soil bags below the 15N-labeled litter, we did not find retention of litter-derived N to be related to the age of the incubation site forest, but rather that it differed based on the origin of the incubated soil. We found that the soil C content was the strongest predictor of how much of the tracer was recovered in the transplanted soil bags. Furthermore, the C content of soils changed during incubation and tended to change in the direction of equilibrating with the soil C concentration of the incubation site. This finding suggests that site characteristics are important in determining soil C concentrations and consequently N retention capacities.
How to cite: Fuss, C., Lovett, G., Goodale, C., Ollinger, S., Lang, A., and Ouimette, A.: Tracing leaf litter-derived 15N to mineral soil organic matter in forests of different ages, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13976, https://doi.org/10.5194/egusphere-egu2020-13976, 2020.
Forest soils are important for retaining nitrogen (N), especially in areas where anthropogenic activities have led to historically high inputs of N. As forests age and their N demands for biomass accumulation decline, the capacity for N retention of soils may change as well, although little work has been done to further our understanding of this process. We conducted a mineral soil reciprocal transplant study in three northern hardwood forests of different ages (young, recently mature, and old growth) in New Hampshire, USA to determine how the retention of isotopically labeled nitrogen from leaf litter would differ depending on characteristics of the incubated soil’s origin and destination. After 18 months of incubating the soil bags below the 15N-labeled litter, we did not find retention of litter-derived N to be related to the age of the incubation site forest, but rather that it differed based on the origin of the incubated soil. We found that the soil C content was the strongest predictor of how much of the tracer was recovered in the transplanted soil bags. Furthermore, the C content of soils changed during incubation and tended to change in the direction of equilibrating with the soil C concentration of the incubation site. This finding suggests that site characteristics are important in determining soil C concentrations and consequently N retention capacities.
How to cite: Fuss, C., Lovett, G., Goodale, C., Ollinger, S., Lang, A., and Ouimette, A.: Tracing leaf litter-derived 15N to mineral soil organic matter in forests of different ages, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13976, https://doi.org/10.5194/egusphere-egu2020-13976, 2020.
EGU2020-2399 | Displays | BG2.8
Stable thallium isotope fractionation in soils as affected by pedogenesisAles Vanek, Andreas Voegelin, Martin Mihaljevic, Vojtech Ettler, Jakub Trubac, Petr Drahota, Maria Vankova, Vendula Oborna, Vit Penizek, Lenka Pavlu, Ondrej Drabek, Petra Vokurkova, Tereza Zadorova, and Ondrej Holubik
In this study, we investigated if variations in the stable Tl isotope ratios in soil samples from different profiles can be linked to data on the extractability and speciation of soil Tl and whether the isotopic data allow drawing conclusions on the geochemical processes linked with soil formation/rock weathering. We observed a significant accumulation of the heavy 205Tl isotope in the B horizons, with ε205Tl values that were up to 7 higher than in the underlying bedrock. This 205Tl enrichment, however, was neither reflected in the speciation of Tl nor its chemical fractionation. Furthermore, exchangeable soil Tl in the B horizons was found to be much isotopically lighter than the bulk soil Tl. Our findings suggest that the observed isotopic shift may be linked to cyclic Tl mobilization and immobilization processes over the period of rock weathering and soil formation. Oxidative Tl uptake by Mn-oxides associated with a 205Tl enrichment, continuous weathering of the Tl(III)-containing phases, followed by a Tl(I) remobilization (leading to enrichment in 205Tl) are suggested to be responsible for the binding of the heavy Tl isotope fraction into other phases, mainly illite (a dominant Tl host), which is not normally expected. We therefore conclude that the use of the Tl isotopic data for phase or sorption mechanism identification in a dynamic multi-phase (soil) system can be very complicated, but, in contrast, suggesting their efficient use as a proxy for redox-controlled processes.
How to cite: Vanek, A., Voegelin, A., Mihaljevic, M., Ettler, V., Trubac, J., Drahota, P., Vankova, M., Oborna, V., Penizek, V., Pavlu, L., Drabek, O., Vokurkova, P., Zadorova, T., and Holubik, O.: Stable thallium isotope fractionation in soils as affected by pedogenesis, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2399, https://doi.org/10.5194/egusphere-egu2020-2399, 2020.
In this study, we investigated if variations in the stable Tl isotope ratios in soil samples from different profiles can be linked to data on the extractability and speciation of soil Tl and whether the isotopic data allow drawing conclusions on the geochemical processes linked with soil formation/rock weathering. We observed a significant accumulation of the heavy 205Tl isotope in the B horizons, with ε205Tl values that were up to 7 higher than in the underlying bedrock. This 205Tl enrichment, however, was neither reflected in the speciation of Tl nor its chemical fractionation. Furthermore, exchangeable soil Tl in the B horizons was found to be much isotopically lighter than the bulk soil Tl. Our findings suggest that the observed isotopic shift may be linked to cyclic Tl mobilization and immobilization processes over the period of rock weathering and soil formation. Oxidative Tl uptake by Mn-oxides associated with a 205Tl enrichment, continuous weathering of the Tl(III)-containing phases, followed by a Tl(I) remobilization (leading to enrichment in 205Tl) are suggested to be responsible for the binding of the heavy Tl isotope fraction into other phases, mainly illite (a dominant Tl host), which is not normally expected. We therefore conclude that the use of the Tl isotopic data for phase or sorption mechanism identification in a dynamic multi-phase (soil) system can be very complicated, but, in contrast, suggesting their efficient use as a proxy for redox-controlled processes.
How to cite: Vanek, A., Voegelin, A., Mihaljevic, M., Ettler, V., Trubac, J., Drahota, P., Vankova, M., Oborna, V., Penizek, V., Pavlu, L., Drabek, O., Vokurkova, P., Zadorova, T., and Holubik, O.: Stable thallium isotope fractionation in soils as affected by pedogenesis, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2399, https://doi.org/10.5194/egusphere-egu2020-2399, 2020.
EGU2020-8211 | Displays | BG2.8
Environmental impact assessment of a Pb, Zn smelter using soil, slag and tree ring elemental and isotopic geochemistry in Kabwe, ZambiaRafael Baieta, Martin Mihaljevič, Vojtěch Ettler, and Aleš Vaněk
Due to its historical Pb, Zn, Ag, Cd and Cu mines and associated smelter, Kabwe in Zambia is known to be one of the most polluted cities in the world.
Contamination by Pb, Zn and Cu was assessed in four soil profiles around the smelter and remote locations, using Q-ICPMS for trace metal elemental and Pb isotopic measurements. A sequential extraction procedure (SEP) approach was used to obtain a detailed understanding of the vertical behaviour of the contaminants and its availability for plant uptake. Slags Pb isotopic ratios were also determined. Furthermore, tree rings of local pine trees (Pinus Montezumae) were collected and analysed for the same contaminants and Pb isotopes coupled with C isotopes. Results were compared to the smelter production historical records to assess the viability of these trees as environmental archive.
Results show that contamination is exclusive to the top layers of soil and is greater in soils closer to the smelter, which are highly contaminated (max: 16000 mg/kg Pb; 140000 mg/kg Zn; 600 mg/kg Cu). Remote soils have much lower topsoil concentrations (min: 61 mg/kg Pb; 351 mg/kg Zn; 21 mg/kg Cu). Interestingly, the greatest contaminant concentrations were found in the tree furthest from the source of pollution (max.: Pb, 6.48 mg/kg; Zn, 10.6 mg/kg; Cu, 10.2 mg/kg). Particle size of wind-blown dump dust decreases with distance. A hypothesis is considering that these would be more easily adsorbed and absorbed by tree bark and leaves. This suggests that above-ground tree uptake is more important than soil uptake for the selected elements.
Slag Pb isotopic ratios average at 206Pb/207Pb = 1.15; 208Pb/206Pb = 2.15; for tree rings; both sites: 206Pb/207Pb = 1.15; 208Pb/206Pb = 2.13; and in top soils, close to smelter: 206Pb/207Pb = 1.15; 208Pb/206Pb = 2.12; and in remote location: 206Pb/207Pb =1.14; 208Pb/206Pb = 2.15. Isotopic ratios confirm the mine and smelter to be the main source of contamination.
Smelter production records show three major shifts in production amount; increase from the late 1950s to early 1970s and a subsequent decrease till the closure of the smelter in 1994 with a peak in production in the early 1980s. There seems to be a correlation between Pb production and Pb uptake and Pb and C isotopic ratio variations within a 5 to 10 years delay.
This study was supported by the Czech Science Foundation project (GAČR 19-18513S) and received institutional funding from the Center for Geosphere Dynamics (UNCE/SCI/006). Part of the equipment used for this study was purchased from the Operational Program Prague - Competitiveness (Project CZ.2.16/3.1.00/21516).
How to cite: Baieta, R., Mihaljevič, M., Ettler, V., and Vaněk, A.: Environmental impact assessment of a Pb, Zn smelter using soil, slag and tree ring elemental and isotopic geochemistry in Kabwe, Zambia, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8211, https://doi.org/10.5194/egusphere-egu2020-8211, 2020.
Due to its historical Pb, Zn, Ag, Cd and Cu mines and associated smelter, Kabwe in Zambia is known to be one of the most polluted cities in the world.
Contamination by Pb, Zn and Cu was assessed in four soil profiles around the smelter and remote locations, using Q-ICPMS for trace metal elemental and Pb isotopic measurements. A sequential extraction procedure (SEP) approach was used to obtain a detailed understanding of the vertical behaviour of the contaminants and its availability for plant uptake. Slags Pb isotopic ratios were also determined. Furthermore, tree rings of local pine trees (Pinus Montezumae) were collected and analysed for the same contaminants and Pb isotopes coupled with C isotopes. Results were compared to the smelter production historical records to assess the viability of these trees as environmental archive.
Results show that contamination is exclusive to the top layers of soil and is greater in soils closer to the smelter, which are highly contaminated (max: 16000 mg/kg Pb; 140000 mg/kg Zn; 600 mg/kg Cu). Remote soils have much lower topsoil concentrations (min: 61 mg/kg Pb; 351 mg/kg Zn; 21 mg/kg Cu). Interestingly, the greatest contaminant concentrations were found in the tree furthest from the source of pollution (max.: Pb, 6.48 mg/kg; Zn, 10.6 mg/kg; Cu, 10.2 mg/kg). Particle size of wind-blown dump dust decreases with distance. A hypothesis is considering that these would be more easily adsorbed and absorbed by tree bark and leaves. This suggests that above-ground tree uptake is more important than soil uptake for the selected elements.
Slag Pb isotopic ratios average at 206Pb/207Pb = 1.15; 208Pb/206Pb = 2.15; for tree rings; both sites: 206Pb/207Pb = 1.15; 208Pb/206Pb = 2.13; and in top soils, close to smelter: 206Pb/207Pb = 1.15; 208Pb/206Pb = 2.12; and in remote location: 206Pb/207Pb =1.14; 208Pb/206Pb = 2.15. Isotopic ratios confirm the mine and smelter to be the main source of contamination.
Smelter production records show three major shifts in production amount; increase from the late 1950s to early 1970s and a subsequent decrease till the closure of the smelter in 1994 with a peak in production in the early 1980s. There seems to be a correlation between Pb production and Pb uptake and Pb and C isotopic ratio variations within a 5 to 10 years delay.
This study was supported by the Czech Science Foundation project (GAČR 19-18513S) and received institutional funding from the Center for Geosphere Dynamics (UNCE/SCI/006). Part of the equipment used for this study was purchased from the Operational Program Prague - Competitiveness (Project CZ.2.16/3.1.00/21516).
How to cite: Baieta, R., Mihaljevič, M., Ettler, V., and Vaněk, A.: Environmental impact assessment of a Pb, Zn smelter using soil, slag and tree ring elemental and isotopic geochemistry in Kabwe, Zambia, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8211, https://doi.org/10.5194/egusphere-egu2020-8211, 2020.
EGU2020-4864 | Displays | BG2.8
Applying the denitrification method to 15N and 18O analysis of nitrate in natural groundwater samplesPatricia Stock, Susanne Roder, and Diana Burghardt
This study aims to develop a simplified denitrification method for the δ15N and δ18O analysis of nitrate (NO3–) in natural groundwater samples following Zhu et al. (Sci Total Environ. 2018; 633: 1370–1378) and Sigman et al. (Anal Chem. 2001; 73: 4145–4153). With the help of Pseudomonas aureofaciens bacteria, the simplified method induced denitrification of the sample and completely converted the NO3– into measurable N2O while avoiding sample fractionation. In contrast to the classic denitrification method (Sigman et al., 2001), which is based on anaerobic cultivation, the bacteria are cultivated aerobically in the simplified method (Zhu et al., 2014). In this study, aerobic cultivation was performed in a nitrate-free medium. Unlike the other two methods, aerobic cultivation was performed without the addition or removal of nitrate in the liquid medium. This eliminates the need for another preparation step, saving time. There was no contamination with external NO3–. After further optimising the influencing factors, the method yielded high accuracy and precision (standard deviations were generally ≤ 0.7‰ for δ18O and ≤ 0.3‰ for δ15N), confirming the suitability of this procedure. Finally, the potential applicability of the method was demonstrated by measuring the isotopic composition of NO3– in natural groundwater samples.
How to cite: Stock, P., Roder, S., and Burghardt, D.: Applying the denitrification method to 15N and 18O analysis of nitrate in natural groundwater samples, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4864, https://doi.org/10.5194/egusphere-egu2020-4864, 2020.
This study aims to develop a simplified denitrification method for the δ15N and δ18O analysis of nitrate (NO3–) in natural groundwater samples following Zhu et al. (Sci Total Environ. 2018; 633: 1370–1378) and Sigman et al. (Anal Chem. 2001; 73: 4145–4153). With the help of Pseudomonas aureofaciens bacteria, the simplified method induced denitrification of the sample and completely converted the NO3– into measurable N2O while avoiding sample fractionation. In contrast to the classic denitrification method (Sigman et al., 2001), which is based on anaerobic cultivation, the bacteria are cultivated aerobically in the simplified method (Zhu et al., 2014). In this study, aerobic cultivation was performed in a nitrate-free medium. Unlike the other two methods, aerobic cultivation was performed without the addition or removal of nitrate in the liquid medium. This eliminates the need for another preparation step, saving time. There was no contamination with external NO3–. After further optimising the influencing factors, the method yielded high accuracy and precision (standard deviations were generally ≤ 0.7‰ for δ18O and ≤ 0.3‰ for δ15N), confirming the suitability of this procedure. Finally, the potential applicability of the method was demonstrated by measuring the isotopic composition of NO3– in natural groundwater samples.
How to cite: Stock, P., Roder, S., and Burghardt, D.: Applying the denitrification method to 15N and 18O analysis of nitrate in natural groundwater samples, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4864, https://doi.org/10.5194/egusphere-egu2020-4864, 2020.
EGU2020-18220 | Displays | BG2.8
An application of stable isotope techniques for the investigation of geographic origin of water–investigation of the Mareza Spring near Podgorica (Montenegro)Milan Radulovic, Micha Horacek, Goran Sekulic, Ivana Ćipranić, Slobodan Živaljević, Christine Stumpp, and Stefan Wyhlidal
Mareza Spring is used for the water supply of Podgorica (capital of Montenegro) since over 70 years. It is located in the central part of Montenegro in the north-western part of Podgorica Valley. The recharge area and origin of groundwater of this karstic source are not known well. This is primarily due to the fact that drainage divides in karst terrains are the unknown and insufficiently examined segments. There are a few hypotheses about the origin of water: 1. from the Zeta River which flows few kilometres north-east from Mareza Spring, 2. from the Morača River which partly sinks at the exit of the canyon (around 10 km east from Mareza Spring), and 3. from the Prekornica Mountain recharge area that is located 10-20 km north-east from the spring (that is a karst plateau with average altitude around 1,000 m asl). Therefore, the isotopic techniques (altitude effect, comparison) could be useful for testing these assumptions. In the present study monitoring of stable isotopes (2H, 18O) in precipitation, surface water and groundwater of this area is carried out to determine the origin of water and adequate protection of Mareza Spring.
How to cite: Radulovic, M., Horacek, M., Sekulic, G., Ćipranić, I., Živaljević, S., Stumpp, C., and Wyhlidal, S.: An application of stable isotope techniques for the investigation of geographic origin of water–investigation of the Mareza Spring near Podgorica (Montenegro), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18220, https://doi.org/10.5194/egusphere-egu2020-18220, 2020.
Mareza Spring is used for the water supply of Podgorica (capital of Montenegro) since over 70 years. It is located in the central part of Montenegro in the north-western part of Podgorica Valley. The recharge area and origin of groundwater of this karstic source are not known well. This is primarily due to the fact that drainage divides in karst terrains are the unknown and insufficiently examined segments. There are a few hypotheses about the origin of water: 1. from the Zeta River which flows few kilometres north-east from Mareza Spring, 2. from the Morača River which partly sinks at the exit of the canyon (around 10 km east from Mareza Spring), and 3. from the Prekornica Mountain recharge area that is located 10-20 km north-east from the spring (that is a karst plateau with average altitude around 1,000 m asl). Therefore, the isotopic techniques (altitude effect, comparison) could be useful for testing these assumptions. In the present study monitoring of stable isotopes (2H, 18O) in precipitation, surface water and groundwater of this area is carried out to determine the origin of water and adequate protection of Mareza Spring.
How to cite: Radulovic, M., Horacek, M., Sekulic, G., Ćipranić, I., Živaljević, S., Stumpp, C., and Wyhlidal, S.: An application of stable isotope techniques for the investigation of geographic origin of water–investigation of the Mareza Spring near Podgorica (Montenegro), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18220, https://doi.org/10.5194/egusphere-egu2020-18220, 2020.
EGU2020-15863 | Displays | BG2.8 | Highlight
Nutrient regeneration and benthic fluxes in the Coastal Baltic and North SeaKirstin Dähnke, Andreas Neumann, and Tina Sanders
Sediments in the coastal ocean can play an important role in nutrient regeneration and in recharging the water column with dissolved inorganic nutrients. This function, however, depends on various variables, such as physical characteristics, but also on biological traits like fauna composition and activity. To unravel and quantify these effects, we investigated nutrient fluxes and nitrate stable isotope composition in water samples along a North Sea – Skagerrak – Baltic Sea gradient during the Maria S. Merian cruise MSM 50 in January 2016.
Especially in the North Sea and the Skagerrak region, d15N values of nitrate were unexpectedly high, suggesting that underlying sediments with relatively enriched isotope signatures were a source of nitrate. This nitrification signal, however, resembled an autumn situation rather than the expected winter values. Parallel sediment incubations confirm that the benthic rates of oxygen consumption and nutrient turnover were indeed very similar to respective rates in autumn and that the sediment was a source of recycled nitrate. From the North Sea towards the Baltic Sea, we found, in accordance with previous studies, a depletion in nitrate stable isotope values. This is indicative of different nitrate sources in the respective basins: in the North Sea region, N of anthropogenic origin leads to high N values in surface sediments and in newly generated nitrate. Due to a higher share of nitrogen fixation, the nitrogen stable isotope signal of surface sediments in the Baltic Sea was depleted, which in turn was mirrored in lower nitrate isotope values in the water column above the sediment.
Overall, the data highlight the importance of nitrate regeneration. Parallel flux measurements reveal that faunal activity shifts the nutrient balance from sequestration to regeneration. Seasonal differences enable us to unravel seasonal effects of fauna and microbiota on nutrient budgets.
How to cite: Dähnke, K., Neumann, A., and Sanders, T.: Nutrient regeneration and benthic fluxes in the Coastal Baltic and North Sea, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-15863, https://doi.org/10.5194/egusphere-egu2020-15863, 2020.
Sediments in the coastal ocean can play an important role in nutrient regeneration and in recharging the water column with dissolved inorganic nutrients. This function, however, depends on various variables, such as physical characteristics, but also on biological traits like fauna composition and activity. To unravel and quantify these effects, we investigated nutrient fluxes and nitrate stable isotope composition in water samples along a North Sea – Skagerrak – Baltic Sea gradient during the Maria S. Merian cruise MSM 50 in January 2016.
Especially in the North Sea and the Skagerrak region, d15N values of nitrate were unexpectedly high, suggesting that underlying sediments with relatively enriched isotope signatures were a source of nitrate. This nitrification signal, however, resembled an autumn situation rather than the expected winter values. Parallel sediment incubations confirm that the benthic rates of oxygen consumption and nutrient turnover were indeed very similar to respective rates in autumn and that the sediment was a source of recycled nitrate. From the North Sea towards the Baltic Sea, we found, in accordance with previous studies, a depletion in nitrate stable isotope values. This is indicative of different nitrate sources in the respective basins: in the North Sea region, N of anthropogenic origin leads to high N values in surface sediments and in newly generated nitrate. Due to a higher share of nitrogen fixation, the nitrogen stable isotope signal of surface sediments in the Baltic Sea was depleted, which in turn was mirrored in lower nitrate isotope values in the water column above the sediment.
Overall, the data highlight the importance of nitrate regeneration. Parallel flux measurements reveal that faunal activity shifts the nutrient balance from sequestration to regeneration. Seasonal differences enable us to unravel seasonal effects of fauna and microbiota on nutrient budgets.
How to cite: Dähnke, K., Neumann, A., and Sanders, T.: Nutrient regeneration and benthic fluxes in the Coastal Baltic and North Sea, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-15863, https://doi.org/10.5194/egusphere-egu2020-15863, 2020.
EGU2020-8574 | Displays | BG2.8
Environmental and climate dynamics in northeastern Siberia according to diatom oxygen isotopesSvetlana Kostrova, Hanno Meyer, Luidmila Pestryakova, Boris Biskaborn, Francisco Fernandoy, and Marlene Baumer
The sedimentary sequence from Lake Emanda (65°17′N; 135°45′E; 675 m a.s.l), one large freshwater body (33.1 km2) in the continuous permafrost of the Verkhoyansk Mountains, has been investigated within the German-Russian ‘Paleolimnological Transect’ (PLOT) project. It provided important insight into the environmental and climate dynamics in northeastern Siberia.
Well preserved diatoms occur only in the upper 125-cm interval of a 6.1-m sediment core (Co1412) covering the last ca. 13.4 cal. ka BP, and are mostly dominated by Cyclotella iris (up to 84%). The diatom succession is enriched by fragilarioid assemblages in the interval from ca. 11.0 to 13.0 cal. ka BP, while Aulacoseira ambigua is more frequent between 8.5 and 6.5 cal. ka BP. Diatoms were purified to > 98% SiO2 and < 0.8% Al2O3 suitable for oxygen isotope (δ18Odiatom) analysis. The δ18Odiatom values were corrected for contamination and range between +22.5‰ and +27.3‰. Maximum δ18Odiatom values (+26.7 to +27.3‰) are registered between 9.0 and 9.9 cal. ka BP and probably reflect a thermal maximum and/or very dry conditions in Early Holocene. The absolute minimum (+22.5‰) in the δ18Odiatom record is marked at 0.4 cal. ka BP and likely corresponds to the Little Ice Age. In general, a gradual depletion of 4.8‰ in δ18Odiatom is observed within the last 10 cal. ka, in line with an overall Holocene temperature decrease.
Our conclusions are based on a comprehensive investigation of both the modern hydrological system and diatom species analyses. The most recent δ18Odiatom = +24.2‰ combined with the present day lake water isotope composition (mean δ18Olake = −16.5‰), indicates a reasonable water−silica isotope fractionation (α = 1.0414) yielding a water temperature of 12 °C. The data demonstrate that the δ18Odiatom variability is associated with changes in the lake water isotopic composition rather than with lake temperature. The present water isotopic composition of Lake Emanda displays substantial evaporation effects, likely further influenced by air temperature and atmospheric circulation.
How to cite: Kostrova, S., Meyer, H., Pestryakova, L., Biskaborn, B., Fernandoy, F., and Baumer, M.: Environmental and climate dynamics in northeastern Siberia according to diatom oxygen isotopes, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8574, https://doi.org/10.5194/egusphere-egu2020-8574, 2020.
The sedimentary sequence from Lake Emanda (65°17′N; 135°45′E; 675 m a.s.l), one large freshwater body (33.1 km2) in the continuous permafrost of the Verkhoyansk Mountains, has been investigated within the German-Russian ‘Paleolimnological Transect’ (PLOT) project. It provided important insight into the environmental and climate dynamics in northeastern Siberia.
Well preserved diatoms occur only in the upper 125-cm interval of a 6.1-m sediment core (Co1412) covering the last ca. 13.4 cal. ka BP, and are mostly dominated by Cyclotella iris (up to 84%). The diatom succession is enriched by fragilarioid assemblages in the interval from ca. 11.0 to 13.0 cal. ka BP, while Aulacoseira ambigua is more frequent between 8.5 and 6.5 cal. ka BP. Diatoms were purified to > 98% SiO2 and < 0.8% Al2O3 suitable for oxygen isotope (δ18Odiatom) analysis. The δ18Odiatom values were corrected for contamination and range between +22.5‰ and +27.3‰. Maximum δ18Odiatom values (+26.7 to +27.3‰) are registered between 9.0 and 9.9 cal. ka BP and probably reflect a thermal maximum and/or very dry conditions in Early Holocene. The absolute minimum (+22.5‰) in the δ18Odiatom record is marked at 0.4 cal. ka BP and likely corresponds to the Little Ice Age. In general, a gradual depletion of 4.8‰ in δ18Odiatom is observed within the last 10 cal. ka, in line with an overall Holocene temperature decrease.
Our conclusions are based on a comprehensive investigation of both the modern hydrological system and diatom species analyses. The most recent δ18Odiatom = +24.2‰ combined with the present day lake water isotope composition (mean δ18Olake = −16.5‰), indicates a reasonable water−silica isotope fractionation (α = 1.0414) yielding a water temperature of 12 °C. The data demonstrate that the δ18Odiatom variability is associated with changes in the lake water isotopic composition rather than with lake temperature. The present water isotopic composition of Lake Emanda displays substantial evaporation effects, likely further influenced by air temperature and atmospheric circulation.
How to cite: Kostrova, S., Meyer, H., Pestryakova, L., Biskaborn, B., Fernandoy, F., and Baumer, M.: Environmental and climate dynamics in northeastern Siberia according to diatom oxygen isotopes, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8574, https://doi.org/10.5194/egusphere-egu2020-8574, 2020.
EGU2020-7563 | Displays | BG2.8
Dynamics in the isotope biogeochemistry of a SGD-impacted coastal aquifer after a storm eventAnna-Kathrina Jenner, Julia Westphal, Bo Liu, Iris Schmiedinger, and Michael Böttcher
The interface of land and sea is of particular interest regarding the exchange of elements, like nutrients, carbon and sulfur. Submarine groundwater discharge (SGD) is an important pathway for element exchange from the terrestrial to the marine environment and vice versa. The discharging water can not only consist of fresh ground water but also of a considerable proportion of recirculated often brackish seawater.
Here, we followed the water and element exchange and associated biogeochemical transformation processes in front of a rewetted peatland at the southern Baltic Sea. Vertical pore water profiles were retrieved via up to 5 m long multi-port pore water samplers on a seasonal base. An extrodinary storm event in early 2019 not only led to the partial flooding of an associated coastal peatland with brackish water but also pushed Baltic Sea water into the coastal aquifers allowing to investigate the time-dependent return to previous subterrestrial ‚normal‘ conditions via SGD-induced freshening. Weekly sampling was carried out to follow the changes after the storm event in the sediments in front of a coastal peatland. Here we present new results of the pre- and after storm event pore water profiles. A focus was set on the investigation of tracers for concentration gradients of major and redox-sensitive trace elements, nutrients and the stable isotope composition (H, C, S, O) of water, dissolved inorganic carbon (DIC) and sulfate to understand the mixing processes and superimposing biogeochemical transformation reactions.
We found evidence for a strong control of the bottom-pore water exchange by lithology and a high activity of dissimilatory sulfate-reducing microorganisms in the coastal sediments leading to the accumulation of substantial DIC superimposed by corrosion of sedimentary carbonates.
Acknowledgement: This study is supported by the DFG research training group Baltic TRANSCOAST and the Leibniz IOW.
How to cite: Jenner, A.-K., Westphal, J., Liu, B., Schmiedinger, I., and Böttcher, M.: Dynamics in the isotope biogeochemistry of a SGD-impacted coastal aquifer after a storm event, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7563, https://doi.org/10.5194/egusphere-egu2020-7563, 2020.
The interface of land and sea is of particular interest regarding the exchange of elements, like nutrients, carbon and sulfur. Submarine groundwater discharge (SGD) is an important pathway for element exchange from the terrestrial to the marine environment and vice versa. The discharging water can not only consist of fresh ground water but also of a considerable proportion of recirculated often brackish seawater.
Here, we followed the water and element exchange and associated biogeochemical transformation processes in front of a rewetted peatland at the southern Baltic Sea. Vertical pore water profiles were retrieved via up to 5 m long multi-port pore water samplers on a seasonal base. An extrodinary storm event in early 2019 not only led to the partial flooding of an associated coastal peatland with brackish water but also pushed Baltic Sea water into the coastal aquifers allowing to investigate the time-dependent return to previous subterrestrial ‚normal‘ conditions via SGD-induced freshening. Weekly sampling was carried out to follow the changes after the storm event in the sediments in front of a coastal peatland. Here we present new results of the pre- and after storm event pore water profiles. A focus was set on the investigation of tracers for concentration gradients of major and redox-sensitive trace elements, nutrients and the stable isotope composition (H, C, S, O) of water, dissolved inorganic carbon (DIC) and sulfate to understand the mixing processes and superimposing biogeochemical transformation reactions.
We found evidence for a strong control of the bottom-pore water exchange by lithology and a high activity of dissimilatory sulfate-reducing microorganisms in the coastal sediments leading to the accumulation of substantial DIC superimposed by corrosion of sedimentary carbonates.
Acknowledgement: This study is supported by the DFG research training group Baltic TRANSCOAST and the Leibniz IOW.
How to cite: Jenner, A.-K., Westphal, J., Liu, B., Schmiedinger, I., and Böttcher, M.: Dynamics in the isotope biogeochemistry of a SGD-impacted coastal aquifer after a storm event, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7563, https://doi.org/10.5194/egusphere-egu2020-7563, 2020.
EGU2020-5931 | Displays | BG2.8
Detection of Crude Oil Contamination in St-Lawrence Estuary Sediments Using n-Alkanes and PAHs Diagnostic and Isotopic RatiosLéticia Dupont, Anic Imfeld, Alexandre Ouellet, and Yves Gélinas
Excessive consumption of petroleum and crude oil for energy purposes has resulted in the contamination of many natural systems and waterways. However, determining the presence and level of contamination has been difficult due to the presence of naturally occurring hydrocarbons and to the complexity of the molecular fingerprint of petroleum and crude oils. Naturally occurring straight-chain n-alkanes and polycyclic aromatic hydrocarbons (PAHs) in sediments are both commonly used to determine organic matter sources through diagnostic and isotope ratios, and these ratios are affected by the presence of petroleum and crude oil. As such, they offer a potential avenue for determining whether crude oil contaminants are present in natural systems. The purpose of this project was to determine whether diagnostic ratios of n-alkanes and of PAHs as well as compound-specific isotope ratios of n-alkanes (∂2Halk and ∂13Calk) could be used to detect crude oil or petroleum contamination, and at what level of contamination the difference becomes significant. This was accomplished by separating the aliphatic and aromatic fractions of the natural and crude oil hydrocarbons by column chromatography, spiking natural sediment hydrocarbons with crude oil hydrocarbons at different levels, and analyzing the samples by GC-MS (Gas Chromatography-Mass Spectrometry) and by GC-IRMS (Isotope-Ratio Mass Spectrometry). The isotopic ratios and the hydrocarbon concentrations were determined by external standard calibration, and the diagnostic ratios were then calculated from the concentrations. Both ratios were then evaluated for their efficiency in detecting the presence of crude oil contamination.
How to cite: Dupont, L., Imfeld, A., Ouellet, A., and Gélinas, Y.: Detection of Crude Oil Contamination in St-Lawrence Estuary Sediments Using n-Alkanes and PAHs Diagnostic and Isotopic Ratios, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5931, https://doi.org/10.5194/egusphere-egu2020-5931, 2020.
Excessive consumption of petroleum and crude oil for energy purposes has resulted in the contamination of many natural systems and waterways. However, determining the presence and level of contamination has been difficult due to the presence of naturally occurring hydrocarbons and to the complexity of the molecular fingerprint of petroleum and crude oils. Naturally occurring straight-chain n-alkanes and polycyclic aromatic hydrocarbons (PAHs) in sediments are both commonly used to determine organic matter sources through diagnostic and isotope ratios, and these ratios are affected by the presence of petroleum and crude oil. As such, they offer a potential avenue for determining whether crude oil contaminants are present in natural systems. The purpose of this project was to determine whether diagnostic ratios of n-alkanes and of PAHs as well as compound-specific isotope ratios of n-alkanes (∂2Halk and ∂13Calk) could be used to detect crude oil or petroleum contamination, and at what level of contamination the difference becomes significant. This was accomplished by separating the aliphatic and aromatic fractions of the natural and crude oil hydrocarbons by column chromatography, spiking natural sediment hydrocarbons with crude oil hydrocarbons at different levels, and analyzing the samples by GC-MS (Gas Chromatography-Mass Spectrometry) and by GC-IRMS (Isotope-Ratio Mass Spectrometry). The isotopic ratios and the hydrocarbon concentrations were determined by external standard calibration, and the diagnostic ratios were then calculated from the concentrations. Both ratios were then evaluated for their efficiency in detecting the presence of crude oil contamination.
How to cite: Dupont, L., Imfeld, A., Ouellet, A., and Gélinas, Y.: Detection of Crude Oil Contamination in St-Lawrence Estuary Sediments Using n-Alkanes and PAHs Diagnostic and Isotopic Ratios, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5931, https://doi.org/10.5194/egusphere-egu2020-5931, 2020.
EGU2020-13867 | Displays | BG2.8
Stable isotopes evidencing microbial activity, mineral authigenesis and fluid mixing in deep interstitial fluids off South-Western Australia (IODP Leg 369)Michael Ernst Böttcher, Hans-Jürgen Brumsack, Iris Schmiedinger, and Tracy Quan
Interstitial waters extracted from long sediment cores retrieved during expedition 369 (Sites U1512-U1516) of the International Ocean Drilling Program (IODP) were analysed for the stable water isotopic (O and H isotopes) composition to constrain hydrographic changes in this region prior to modern time and possible changes due to water-rock interaction and fluid mixing. Dissolved sulfate (S and O isotopes), and sulfide (S isotopes) were analyzed to characterize, in concert with concentration measurements, diagenetic microbial and water-rock interaction processes in the sulfur cycles. The measurements demonstrate substantial downcore variations in the water oxygen isotope composition. Net microbial sulfate reduction with depth was observed at all sites, but sulfate was only found to be consumed completely, within the investigated core lengths at Site U1512, that is located off southern Australia. Whereas associated sulfur isotope fractionation is characteristic for medium range fractionation factors, the oxygen isotope composition provides evidence for a much more complex story of sulfur diagenesis at the investigated sites: At Site U1516, for instance, the oxygen isotope composition of dissolved sulfate is equilibrated with pore water, although sulfate concentrations remain above 20 mM. This indicates an intense re-oxidative sulfur cycle. At Site U1513, on the other hand, the oxygen isotope composition remains out of isotope exchange equilibrium although sulfate concentrations fall below 20 mM, indicating that the net decrease in dissolved sulfate is dominantly caused by authigenic gypsum precipitation at depth, which is further confirmed by the dissolved Ca concentration.
How to cite: Böttcher, M. E., Brumsack, H.-J., Schmiedinger, I., and Quan, T.: Stable isotopes evidencing microbial activity, mineral authigenesis and fluid mixing in deep interstitial fluids off South-Western Australia (IODP Leg 369), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13867, https://doi.org/10.5194/egusphere-egu2020-13867, 2020.
Interstitial waters extracted from long sediment cores retrieved during expedition 369 (Sites U1512-U1516) of the International Ocean Drilling Program (IODP) were analysed for the stable water isotopic (O and H isotopes) composition to constrain hydrographic changes in this region prior to modern time and possible changes due to water-rock interaction and fluid mixing. Dissolved sulfate (S and O isotopes), and sulfide (S isotopes) were analyzed to characterize, in concert with concentration measurements, diagenetic microbial and water-rock interaction processes in the sulfur cycles. The measurements demonstrate substantial downcore variations in the water oxygen isotope composition. Net microbial sulfate reduction with depth was observed at all sites, but sulfate was only found to be consumed completely, within the investigated core lengths at Site U1512, that is located off southern Australia. Whereas associated sulfur isotope fractionation is characteristic for medium range fractionation factors, the oxygen isotope composition provides evidence for a much more complex story of sulfur diagenesis at the investigated sites: At Site U1516, for instance, the oxygen isotope composition of dissolved sulfate is equilibrated with pore water, although sulfate concentrations remain above 20 mM. This indicates an intense re-oxidative sulfur cycle. At Site U1513, on the other hand, the oxygen isotope composition remains out of isotope exchange equilibrium although sulfate concentrations fall below 20 mM, indicating that the net decrease in dissolved sulfate is dominantly caused by authigenic gypsum precipitation at depth, which is further confirmed by the dissolved Ca concentration.
How to cite: Böttcher, M. E., Brumsack, H.-J., Schmiedinger, I., and Quan, T.: Stable isotopes evidencing microbial activity, mineral authigenesis and fluid mixing in deep interstitial fluids off South-Western Australia (IODP Leg 369), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13867, https://doi.org/10.5194/egusphere-egu2020-13867, 2020.
EGU2020-9160 | Displays | BG2.8
Tracing Fe reaction pathways in tephra-rich deep subseafloor sediments from the Nankai Trough offshore Japan by using sequential extractions and stable Fe isotopesMale Köster, Hayley R. Manners, Verena B. Heuer, Yuki Morono, Fumio Inagaki, Sabine Kasten, and Susann Henkel
The deep subseafloor biosphere represents one of the Earth’s largest, but also least understood ecosystems with diverse species and mostly uncharacterized microbial communities. International Ocean Discovery Program (IODP) Expedition 370 (Temperature Limit of the Deep Biosphere off Muroto) established Site C0023 down to 1180 mbsf in the Nankai Trough off Japan to explore the upper temperature limit of microbial life in the deep sedimentary biosphere [1]. Site C0023 is characterized by a complex lithostratigraphic and depositional history with strongly changing sedimentation rates. Volcanic ash layers are ubiquitous in all lithological units. However, the highest abundance of ash layers could be observed between 400 and 700 mbsf. Previous studies have shown that volcanic ashes represent hotspots for microbial life [2] and are commonly characterized by high Fe(III) and Mn(IV) contents [3]. Onboard measurements show a release of dissolved Fe in the depth interval associated with the highest abundance of ash layers [1]. Therefore, we hypothesized that the release is related to microbial Fe reduction fueled by the mineralogy of the volcanic ash. In order to identify the source and reaction pathway of the liberated Fe, we applied sequential extractions of differently reactive Fe oxide pools on mud rock and ash layer samples as well as stable iron isotope (δ56Fe) analyses on pore-water and solid-phase samples. Microbial Fe reduction leads to Fe isotope fractionation with an enrichment of light isotopes in the released Fe and a respective enrichment of heavy isotopes in the residual ferric substrate. Therefore, the δ56Fe signals of different reactive Fe pools and the pore water are used to identify the pools actually involved in microbial respiration processes. Our results show that the total Fe content in mud rock of Site C0023 is relatively constant at ~4.2 wt%. Reactive Fe oxides represent 25% of the total Fe. The bulk Fe content in the ash layers varies between 1.4 and 6.8 wt%. Surprisingly, most ash samples contain less total Fe (3.35 wt% on average) compared to the surrounding mud rock. Similarly, the contents of the reactive Fe oxides are significantly lower. This indicates that either (1) ash layers do not represent the energy substrate for microbial Fe reduction, or (2) reactive Fe in ash samples has already been used up by microbes. The bulk Fe content in recent volcanic material from an active volcano on the Japanese island arc is ~4.4 wt% [4]. The higher Fe content in fresh volcanic material compared to ash samples at Site C0023 might suggest that reactive Fe in ash layers is already reduced. Alternatively, the dissolved Fe release might be related to microbial reduction of structural Fe(III) in smectite promoting the smectite-to-illite transition, which has previously been proposed for Site C0023 [5].
References:
[1] Heuer, V.B. et al., 2017. In Proc. IODP Volume 370.
[2] Inagaki, F. et al., 2003. AEM 69: 7224-7235.
[3] Torres, M.E. et al., 2015. Geobiology 13: 562-580.
[4] Vogel, A. et al., 2017. J. Geophys. Res. Atmos. 122: 9485-9514.
[5] Kim, J. et al., 2019. Geology 47: 535-539.
How to cite: Köster, M., Manners, H. R., Heuer, V. B., Morono, Y., Inagaki, F., Kasten, S., and Henkel, S.: Tracing Fe reaction pathways in tephra-rich deep subseafloor sediments from the Nankai Trough offshore Japan by using sequential extractions and stable Fe isotopes, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9160, https://doi.org/10.5194/egusphere-egu2020-9160, 2020.
The deep subseafloor biosphere represents one of the Earth’s largest, but also least understood ecosystems with diverse species and mostly uncharacterized microbial communities. International Ocean Discovery Program (IODP) Expedition 370 (Temperature Limit of the Deep Biosphere off Muroto) established Site C0023 down to 1180 mbsf in the Nankai Trough off Japan to explore the upper temperature limit of microbial life in the deep sedimentary biosphere [1]. Site C0023 is characterized by a complex lithostratigraphic and depositional history with strongly changing sedimentation rates. Volcanic ash layers are ubiquitous in all lithological units. However, the highest abundance of ash layers could be observed between 400 and 700 mbsf. Previous studies have shown that volcanic ashes represent hotspots for microbial life [2] and are commonly characterized by high Fe(III) and Mn(IV) contents [3]. Onboard measurements show a release of dissolved Fe in the depth interval associated with the highest abundance of ash layers [1]. Therefore, we hypothesized that the release is related to microbial Fe reduction fueled by the mineralogy of the volcanic ash. In order to identify the source and reaction pathway of the liberated Fe, we applied sequential extractions of differently reactive Fe oxide pools on mud rock and ash layer samples as well as stable iron isotope (δ56Fe) analyses on pore-water and solid-phase samples. Microbial Fe reduction leads to Fe isotope fractionation with an enrichment of light isotopes in the released Fe and a respective enrichment of heavy isotopes in the residual ferric substrate. Therefore, the δ56Fe signals of different reactive Fe pools and the pore water are used to identify the pools actually involved in microbial respiration processes. Our results show that the total Fe content in mud rock of Site C0023 is relatively constant at ~4.2 wt%. Reactive Fe oxides represent 25% of the total Fe. The bulk Fe content in the ash layers varies between 1.4 and 6.8 wt%. Surprisingly, most ash samples contain less total Fe (3.35 wt% on average) compared to the surrounding mud rock. Similarly, the contents of the reactive Fe oxides are significantly lower. This indicates that either (1) ash layers do not represent the energy substrate for microbial Fe reduction, or (2) reactive Fe in ash samples has already been used up by microbes. The bulk Fe content in recent volcanic material from an active volcano on the Japanese island arc is ~4.4 wt% [4]. The higher Fe content in fresh volcanic material compared to ash samples at Site C0023 might suggest that reactive Fe in ash layers is already reduced. Alternatively, the dissolved Fe release might be related to microbial reduction of structural Fe(III) in smectite promoting the smectite-to-illite transition, which has previously been proposed for Site C0023 [5].
References:
[1] Heuer, V.B. et al., 2017. In Proc. IODP Volume 370.
[2] Inagaki, F. et al., 2003. AEM 69: 7224-7235.
[3] Torres, M.E. et al., 2015. Geobiology 13: 562-580.
[4] Vogel, A. et al., 2017. J. Geophys. Res. Atmos. 122: 9485-9514.
[5] Kim, J. et al., 2019. Geology 47: 535-539.
How to cite: Köster, M., Manners, H. R., Heuer, V. B., Morono, Y., Inagaki, F., Kasten, S., and Henkel, S.: Tracing Fe reaction pathways in tephra-rich deep subseafloor sediments from the Nankai Trough offshore Japan by using sequential extractions and stable Fe isotopes, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9160, https://doi.org/10.5194/egusphere-egu2020-9160, 2020.
BG2.22 – Mercury cycling in the environment – sources, processes, impacts, and archives from local to global scales
EGU2020-19867 | Displays | BG2.22
Determination of gaseous elemental mercury air-sea exchange in the Baltic SeaStefan Osterwalder, Michelle Nerentorp, Wei Zhu, Erik Nilsson, Mats Nilsson, Anna Rutgersson, Anne Soerensen, Jonas Sommar, Marcus Wallin, Ingvar Wängberg, and Kevin Bishop
Ocean waters store approximately 400 Gg of mercury (Hg) and exchange it with the atmosphere at a high rate. Air-sea exchange of gaseous elemental mercury (Hg0) is a key process in global Hg cycling because evasion lowers the reservoir of Hg(II) available for methylation and subsequent bioaccumulation in marine fish and prolongs the atmospheric lifetime and subsequently global cycling of Hg. However, global estimates on the air-sea flux are not well constrained (1.9 to 4.2 Gg a-1) mainly because high-resolution measurements of Hg0 in seawater are largely lacking and parameterization of the Hg0 transfer velocity introduces uncertainties in Hg0 flux modelling. We present estimates of the net Hg0 flux for the Baltic Sea derived from land-based marine measurements of Hg0 in air and seawater as well as micrometeorological techniques. We found that coastal waters at the ICOS field station Östergarnsholm, located east of Gotland, Sweden, were typically supersaturated with seawater Hg0 (mean ± SD = 13.5 ± 3.5 ng m-3; ca. 10 % of total Hg) compared to ambient Hg0 (1.3 ± 0.2 ng m-3). The Hg0 flux calculated using gas-transfer wind speed relationships ranged from 0.1 to 1.3 ng m-2 h-1 over the course of the campaign (May 10 – June 20, 2017). The modeled Hg0 flux showed a distinct diel pattern with an average daytime flux of 0.6 ng m-2 h-1 and nighttime flux of 0.4 ng m-2 h-1, indicating that temperature and light induced production of seawater Hg0 was of significance in shallow waters. Preliminary calculations of the average coastal Hg0 flux simultaneously measured using direct, non-intrusive gradient-based, aerodynamic gradient and relaxed eddy accumulation techniques were 0.5 ± 1, 0.6 ± 3.8 and 0.6 ± 37 ng m-2 h-1, respectively. Although, these flux estimates were in good agreement, there were indications in the temporal patters of the observations, which suggest that there is a need to reconsider the modeled flux with the support of more direct flux measurements. Direct flux measurements revealed not only Hg0 evasion but also periods of Hg0 dry deposition. In addition, direct measurements indicated a stronger wind speed dependence of the Hg0 transfer velocity compared to CO2 which appears to coincide with whitecap formation in the open sea flux footprint (wind speed > 5 m s-1). Hence, we anticipate this study as a starting point for more land-based, marine, continuous measurements of seawater Hg0 concentration in combination with micrometeorological fluxes in order to improve Hg0 flux estimates in regional and global scale models. In this context, directly measured Hg0 fluxes will be pivotal to improve transfer velocity estimates of Hg0 especially during periods of high wind speed.
How to cite: Osterwalder, S., Nerentorp, M., Zhu, W., Nilsson, E., Nilsson, M., Rutgersson, A., Soerensen, A., Sommar, J., Wallin, M., Wängberg, I., and Bishop, K.: Determination of gaseous elemental mercury air-sea exchange in the Baltic Sea, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19867, https://doi.org/10.5194/egusphere-egu2020-19867, 2020.
Ocean waters store approximately 400 Gg of mercury (Hg) and exchange it with the atmosphere at a high rate. Air-sea exchange of gaseous elemental mercury (Hg0) is a key process in global Hg cycling because evasion lowers the reservoir of Hg(II) available for methylation and subsequent bioaccumulation in marine fish and prolongs the atmospheric lifetime and subsequently global cycling of Hg. However, global estimates on the air-sea flux are not well constrained (1.9 to 4.2 Gg a-1) mainly because high-resolution measurements of Hg0 in seawater are largely lacking and parameterization of the Hg0 transfer velocity introduces uncertainties in Hg0 flux modelling. We present estimates of the net Hg0 flux for the Baltic Sea derived from land-based marine measurements of Hg0 in air and seawater as well as micrometeorological techniques. We found that coastal waters at the ICOS field station Östergarnsholm, located east of Gotland, Sweden, were typically supersaturated with seawater Hg0 (mean ± SD = 13.5 ± 3.5 ng m-3; ca. 10 % of total Hg) compared to ambient Hg0 (1.3 ± 0.2 ng m-3). The Hg0 flux calculated using gas-transfer wind speed relationships ranged from 0.1 to 1.3 ng m-2 h-1 over the course of the campaign (May 10 – June 20, 2017). The modeled Hg0 flux showed a distinct diel pattern with an average daytime flux of 0.6 ng m-2 h-1 and nighttime flux of 0.4 ng m-2 h-1, indicating that temperature and light induced production of seawater Hg0 was of significance in shallow waters. Preliminary calculations of the average coastal Hg0 flux simultaneously measured using direct, non-intrusive gradient-based, aerodynamic gradient and relaxed eddy accumulation techniques were 0.5 ± 1, 0.6 ± 3.8 and 0.6 ± 37 ng m-2 h-1, respectively. Although, these flux estimates were in good agreement, there were indications in the temporal patters of the observations, which suggest that there is a need to reconsider the modeled flux with the support of more direct flux measurements. Direct flux measurements revealed not only Hg0 evasion but also periods of Hg0 dry deposition. In addition, direct measurements indicated a stronger wind speed dependence of the Hg0 transfer velocity compared to CO2 which appears to coincide with whitecap formation in the open sea flux footprint (wind speed > 5 m s-1). Hence, we anticipate this study as a starting point for more land-based, marine, continuous measurements of seawater Hg0 concentration in combination with micrometeorological fluxes in order to improve Hg0 flux estimates in regional and global scale models. In this context, directly measured Hg0 fluxes will be pivotal to improve transfer velocity estimates of Hg0 especially during periods of high wind speed.
How to cite: Osterwalder, S., Nerentorp, M., Zhu, W., Nilsson, E., Nilsson, M., Rutgersson, A., Soerensen, A., Sommar, J., Wallin, M., Wängberg, I., and Bishop, K.: Determination of gaseous elemental mercury air-sea exchange in the Baltic Sea, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19867, https://doi.org/10.5194/egusphere-egu2020-19867, 2020.
EGU2020-11905 | Displays | BG2.22
Assessing the atmosphere-surface exchange of gaseous elemental mercury using passive air samplersMeng Si, Michelle Feigis, Isabel Quant, Shreya Mistry, Melanie Snow, Knut Breivik, Melissa Lafreniere, Scott Lamoureux, Derek Muir, Alexandra Steffen, Geoff Stupple, Ying Duan Lei, Carl Mitchell, and Frank Wania
The specific properties of gaseous elemental mercury (GEM) allow it to undergo bidirectional exchange between the atmosphere and the Earth’s surface. Determining the direction and the magnitude of GEM’s atmosphere-surface flux is possible and has been accomplished using micrometeorological and chamber techniques, but (i) is complex and labor-intensive, and (ii) often only yields fluxes over relatively short time scales. A recently developed passive air sampler for GEM has the precision required for identifying and quantifying vertical concentration gradients above the Earth’s surface. The feasibility and performance of this approach is currently being tested in a number of field studies aimed at the: (i) measurement of GEM concentration gradients above both mercury-contaminated and background forest soils, (ii) quantification of vertical concentration gradients on a tower through a temperate deciduous forest canopy, and (iii) measurement of mercury concentration gradients over stable and thawing permafrost to determine the effect of permafrost degradation on GEM evasion. Contrasting with earlier flux studies, these investigations cover long time periods (up to 1.5 years) and have coarse temporal resolution (monthly to seasonally). Significant gradients of GEM air concentrations, both increasing and decreasing with height above ground, were observed, implying that at a minimum, the method is able to identify the flux direction of GEM. Under the right circumstances, this method can also be used to estimate the approximate magnitude of the GEM air-surface exchange flux. The measured gradients also reveal the impact of factors such as temperature, solar irradiance, and snow cover on air-surface exchange. The method holds promise for establishing the direction and size of exchange fluxes at long time scales of months to a year, especially in study areas where access, effort and cost are prohibitive to longer duration studies with existing approaches.
How to cite: Si, M., Feigis, M., Quant, I., Mistry, S., Snow, M., Breivik, K., Lafreniere, M., Lamoureux, S., Muir, D., Steffen, A., Stupple, G., Lei, Y. D., Mitchell, C., and Wania, F.: Assessing the atmosphere-surface exchange of gaseous elemental mercury using passive air samplers, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11905, https://doi.org/10.5194/egusphere-egu2020-11905, 2020.
The specific properties of gaseous elemental mercury (GEM) allow it to undergo bidirectional exchange between the atmosphere and the Earth’s surface. Determining the direction and the magnitude of GEM’s atmosphere-surface flux is possible and has been accomplished using micrometeorological and chamber techniques, but (i) is complex and labor-intensive, and (ii) often only yields fluxes over relatively short time scales. A recently developed passive air sampler for GEM has the precision required for identifying and quantifying vertical concentration gradients above the Earth’s surface. The feasibility and performance of this approach is currently being tested in a number of field studies aimed at the: (i) measurement of GEM concentration gradients above both mercury-contaminated and background forest soils, (ii) quantification of vertical concentration gradients on a tower through a temperate deciduous forest canopy, and (iii) measurement of mercury concentration gradients over stable and thawing permafrost to determine the effect of permafrost degradation on GEM evasion. Contrasting with earlier flux studies, these investigations cover long time periods (up to 1.5 years) and have coarse temporal resolution (monthly to seasonally). Significant gradients of GEM air concentrations, both increasing and decreasing with height above ground, were observed, implying that at a minimum, the method is able to identify the flux direction of GEM. Under the right circumstances, this method can also be used to estimate the approximate magnitude of the GEM air-surface exchange flux. The measured gradients also reveal the impact of factors such as temperature, solar irradiance, and snow cover on air-surface exchange. The method holds promise for establishing the direction and size of exchange fluxes at long time scales of months to a year, especially in study areas where access, effort and cost are prohibitive to longer duration studies with existing approaches.
How to cite: Si, M., Feigis, M., Quant, I., Mistry, S., Snow, M., Breivik, K., Lafreniere, M., Lamoureux, S., Muir, D., Steffen, A., Stupple, G., Lei, Y. D., Mitchell, C., and Wania, F.: Assessing the atmosphere-surface exchange of gaseous elemental mercury using passive air samplers, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11905, https://doi.org/10.5194/egusphere-egu2020-11905, 2020.
EGU2020-12156 | Displays | BG2.22
Long-term Observations of Atmospheric Speciated Mercury at a Coastal Site in the Northern Gulf of Mexico during 2007–2018Xinrong Ren, Winston Luke, Paul Kelley, Mark Cohen, Mark Olson, Michael Archer, and Ariel Stein
Atmospheric mercury species (including gaseous elemental mercury (GEM), gaseous oxidized mercury (GOM) and particulate-bound mercury (PBM)), trace pollutants (including O3, SO2, CO, NO, NOY and black carbon), and meteorological parameters have been continuously monitored since 2007 at an Atmospheric Mercury Network (AMNet) site located on the northern coast of the Gulf of Mexico at the Grand Bay National Estuarine Research Reserve (NERR) in Moss Point, Mississippi. For the data collected between 2007 and 2018, the average concentrations and standard deviations were 1.39 ± 0.22 ng m-3 for GEM, 5.1 ± 10.2 pg m-3 for GOM, 5.9 ± 13.0 pg m-3 for PBM, and 309 ± 407 ng m-2 wk-1 for mercury wet deposition, with interannual trends of -0.009 ng m-3 yr-1 for GEM, -0.36 pg m-3 yr-1 for GOM, 0.18 pg m-3 yr-1 for PBM, and 2.8 ng m-2 wk-1 yr-1 for mercury wet deposition. The trends are statistically significant for GEM and GOM, but not statistically significant for PBM and mercury wet deposition. Diurnal variation of GEM shows lower concentrations in the early morning due to GEM depletion likely due to plant uptake in high humidity events and slight elevation during the day likely due to downward mixing of higher concentrations of GEM in the air aloft to the surface. Seasonal variation of GEM shows higher levels in winter and spring and lower levels in summer and fall. Diurnal variations of both GOM and PBM show broad peaks in the afternoon likely due to photochemical oxidation of GEM. Seasonally, PBM measurements exhibit higher levels in winter and early spring and lower levels in summer, while GOM measurements show high levels in late spring/early summer and late fall and low levels in winter. The seasonal variation of mercury wet deposition shows higher values in summer and lower values in winter due to higher precipitation amounts in summer than in winter. As expected, anticorrelation between Hg wet deposition and the sum of GOM and PBM but positive correlation between Hg wet deposition and rainfall were observed. Correlation among GOM, ozone, and SO2 suggests two possible GOM sources: direct emissions and photochemical oxidation of GEM with the possible influence of boundary dynamics and seasonal variability. This study indicates that the monitoring site, which is located in a coastal environment of the Gulf of Mexico, might experience impacts from mercury sources that are both local and regional in nature.
How to cite: Ren, X., Luke, W., Kelley, P., Cohen, M., Olson, M., Archer, M., and Stein, A.: Long-term Observations of Atmospheric Speciated Mercury at a Coastal Site in the Northern Gulf of Mexico during 2007–2018, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12156, https://doi.org/10.5194/egusphere-egu2020-12156, 2020.
Atmospheric mercury species (including gaseous elemental mercury (GEM), gaseous oxidized mercury (GOM) and particulate-bound mercury (PBM)), trace pollutants (including O3, SO2, CO, NO, NOY and black carbon), and meteorological parameters have been continuously monitored since 2007 at an Atmospheric Mercury Network (AMNet) site located on the northern coast of the Gulf of Mexico at the Grand Bay National Estuarine Research Reserve (NERR) in Moss Point, Mississippi. For the data collected between 2007 and 2018, the average concentrations and standard deviations were 1.39 ± 0.22 ng m-3 for GEM, 5.1 ± 10.2 pg m-3 for GOM, 5.9 ± 13.0 pg m-3 for PBM, and 309 ± 407 ng m-2 wk-1 for mercury wet deposition, with interannual trends of -0.009 ng m-3 yr-1 for GEM, -0.36 pg m-3 yr-1 for GOM, 0.18 pg m-3 yr-1 for PBM, and 2.8 ng m-2 wk-1 yr-1 for mercury wet deposition. The trends are statistically significant for GEM and GOM, but not statistically significant for PBM and mercury wet deposition. Diurnal variation of GEM shows lower concentrations in the early morning due to GEM depletion likely due to plant uptake in high humidity events and slight elevation during the day likely due to downward mixing of higher concentrations of GEM in the air aloft to the surface. Seasonal variation of GEM shows higher levels in winter and spring and lower levels in summer and fall. Diurnal variations of both GOM and PBM show broad peaks in the afternoon likely due to photochemical oxidation of GEM. Seasonally, PBM measurements exhibit higher levels in winter and early spring and lower levels in summer, while GOM measurements show high levels in late spring/early summer and late fall and low levels in winter. The seasonal variation of mercury wet deposition shows higher values in summer and lower values in winter due to higher precipitation amounts in summer than in winter. As expected, anticorrelation between Hg wet deposition and the sum of GOM and PBM but positive correlation between Hg wet deposition and rainfall were observed. Correlation among GOM, ozone, and SO2 suggests two possible GOM sources: direct emissions and photochemical oxidation of GEM with the possible influence of boundary dynamics and seasonal variability. This study indicates that the monitoring site, which is located in a coastal environment of the Gulf of Mexico, might experience impacts from mercury sources that are both local and regional in nature.
How to cite: Ren, X., Luke, W., Kelley, P., Cohen, M., Olson, M., Archer, M., and Stein, A.: Long-term Observations of Atmospheric Speciated Mercury at a Coastal Site in the Northern Gulf of Mexico during 2007–2018, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12156, https://doi.org/10.5194/egusphere-egu2020-12156, 2020.
EGU2020-19103 | Displays | BG2.22
Mercury isotope fractionation during the exchange of Hg between the atmosphere and land surfaces: implications for atmospheric Hg cyclesWei Zhu, Xuewu Fu, Hui Zhang, Chen Liu, Ben Yu, and Xinbin Feng
Mercury (Hg) is a neurotoxic pollutant distributed globally via atmospheric transportation of elemental Hg (Hg(0)). Both anthropogenic and natural processes emit Hg to the atmosphere, where the later contributes up to approximately two thirds of the total emissions. Hg(II) in the Earth’s surface can be reduced chemically and biologically, resulted subsequent re-emission of Hg(0) back to the atmosphere. The Hg(0) exhibits bi-directional exchange (i.e., deposition and/or emission) between the land surface and atmosphere. Soil is the largest terrestrial Hg reservoir and its interaction with the atmosphere influences the atmospheric Hg cycling largely. Hg(0) emission from the terrestrial surfaces soil has been postulated to carry a negative MDF and positive MIF in the global Hg biogeochemical models. However, to date, no experimental evidence support that the complex terrestrial soil Hg(0) emission in accordance with this hypothetical simplification.
We coupled the in-situ Hg(0) dynamic flux chamber measurement and stable Hg isotope analysis to report a first dataset on the Hg isotope fractionation during the exchange of Hg(0) between the atmosphere and 8 soils and 1 cinnabar surfaces. The effect of air-soil/cinnabar exchange shifted Hg(0) concentrations in the flux chamber [i.e., (Hg(0)chamber-Hg(0)ambient)/Hg(0)chamber] by a factor of -0.29 – 0.90, corresponding to Hg(0) exchange fluxes ranging from -773 – 14457 ng m-2 h-1. Our results showed that the exchange of Hg(0) between the atmosphere and soil/cinnabar could lead to an enrichment of both light and heavy isotopes (δ202Hg signatures) in Hg(0), as well as depletion or enrichment of odd isotopes (Δ199Hg signatures). This highlighted that multiple processes controlled the land-atmosphere exchange of Hg(0) and affected Hg isotope fractionation. Using a conservative isotope mass balance model, we found urban soils Hg(0) emission exhibited large variations in both δ202Hg (-3.04 to -0.34‰) and Δ199Hg (-0.60 to 0.38‰), which might be controlled by the Hg isotopic signatures in soils and environmental factors. The isotope signatures of Hg(0) emitted from agricultural background soils (δ202Hg = -1.31 ± 1.09‰, Δ199Hg = -0.26 ± 0.16‰, 1σ, n=15) and Hg-enriched agricultural soils in Hg mining area (δ202Hg = 0.51 ± 1.09‰, Δ199Hg = -0.10 ± 0.11‰, 1σ, n=12) exhibited contrasting mass dependent fractionation (MDF). Photo-reduction of soil Hg(II) coordinated to sulfurless ligands likely dominated the MIF of Hg isotope during the exchange of Hg between the atmosphere and both urban and agricultural soils. While the positive shift of δ202Hg in mining area suggested that other processes including sorption and oxidation were also important in controlling MDF of Hg isotope during air/soil exchange. In a line with Hg-enriched agricultural soils, the forest soil emitted Hg(0) in Hg mining area enriched in heavy isotopes relative to the soil but depleted in odd isotopes. Hg(0) emission from cinnabar ore waste exhibited significant negative δ202Hg (-2.21 to -1.67‰) but positive Δ199Hg (0.17 to 0.38‰). Our results demonstrate complex Hg isotope fractionation during air-soil/cinnabar Hg(0) exchange resulted contrasting enrichment or depletion effects on the atmospheric Hg isotope compositions, thus have important implications for understanding the atmospheric Hg isotope signatures and modeling the global Hg cycling.
How to cite: Zhu, W., Fu, X., Zhang, H., Liu, C., Yu, B., and Feng, X.: Mercury isotope fractionation during the exchange of Hg between the atmosphere and land surfaces: implications for atmospheric Hg cycles, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19103, https://doi.org/10.5194/egusphere-egu2020-19103, 2020.
Mercury (Hg) is a neurotoxic pollutant distributed globally via atmospheric transportation of elemental Hg (Hg(0)). Both anthropogenic and natural processes emit Hg to the atmosphere, where the later contributes up to approximately two thirds of the total emissions. Hg(II) in the Earth’s surface can be reduced chemically and biologically, resulted subsequent re-emission of Hg(0) back to the atmosphere. The Hg(0) exhibits bi-directional exchange (i.e., deposition and/or emission) between the land surface and atmosphere. Soil is the largest terrestrial Hg reservoir and its interaction with the atmosphere influences the atmospheric Hg cycling largely. Hg(0) emission from the terrestrial surfaces soil has been postulated to carry a negative MDF and positive MIF in the global Hg biogeochemical models. However, to date, no experimental evidence support that the complex terrestrial soil Hg(0) emission in accordance with this hypothetical simplification.
We coupled the in-situ Hg(0) dynamic flux chamber measurement and stable Hg isotope analysis to report a first dataset on the Hg isotope fractionation during the exchange of Hg(0) between the atmosphere and 8 soils and 1 cinnabar surfaces. The effect of air-soil/cinnabar exchange shifted Hg(0) concentrations in the flux chamber [i.e., (Hg(0)chamber-Hg(0)ambient)/Hg(0)chamber] by a factor of -0.29 – 0.90, corresponding to Hg(0) exchange fluxes ranging from -773 – 14457 ng m-2 h-1. Our results showed that the exchange of Hg(0) between the atmosphere and soil/cinnabar could lead to an enrichment of both light and heavy isotopes (δ202Hg signatures) in Hg(0), as well as depletion or enrichment of odd isotopes (Δ199Hg signatures). This highlighted that multiple processes controlled the land-atmosphere exchange of Hg(0) and affected Hg isotope fractionation. Using a conservative isotope mass balance model, we found urban soils Hg(0) emission exhibited large variations in both δ202Hg (-3.04 to -0.34‰) and Δ199Hg (-0.60 to 0.38‰), which might be controlled by the Hg isotopic signatures in soils and environmental factors. The isotope signatures of Hg(0) emitted from agricultural background soils (δ202Hg = -1.31 ± 1.09‰, Δ199Hg = -0.26 ± 0.16‰, 1σ, n=15) and Hg-enriched agricultural soils in Hg mining area (δ202Hg = 0.51 ± 1.09‰, Δ199Hg = -0.10 ± 0.11‰, 1σ, n=12) exhibited contrasting mass dependent fractionation (MDF). Photo-reduction of soil Hg(II) coordinated to sulfurless ligands likely dominated the MIF of Hg isotope during the exchange of Hg between the atmosphere and both urban and agricultural soils. While the positive shift of δ202Hg in mining area suggested that other processes including sorption and oxidation were also important in controlling MDF of Hg isotope during air/soil exchange. In a line with Hg-enriched agricultural soils, the forest soil emitted Hg(0) in Hg mining area enriched in heavy isotopes relative to the soil but depleted in odd isotopes. Hg(0) emission from cinnabar ore waste exhibited significant negative δ202Hg (-2.21 to -1.67‰) but positive Δ199Hg (0.17 to 0.38‰). Our results demonstrate complex Hg isotope fractionation during air-soil/cinnabar Hg(0) exchange resulted contrasting enrichment or depletion effects on the atmospheric Hg isotope compositions, thus have important implications for understanding the atmospheric Hg isotope signatures and modeling the global Hg cycling.
How to cite: Zhu, W., Fu, X., Zhang, H., Liu, C., Yu, B., and Feng, X.: Mercury isotope fractionation during the exchange of Hg between the atmosphere and land surfaces: implications for atmospheric Hg cycles, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19103, https://doi.org/10.5194/egusphere-egu2020-19103, 2020.
EGU2020-17656 | Displays | BG2.22
Dimethylmercury demethylation in the presence of sulfideJohannes West, Andrew Graham, Liem Nguyen, and Sofi Jonsson
In marine systems, the methylated mercury pool is approximately evenly distributed between monomethylmercury (MMHg) and dimethylmercury (DMHg). While MMHg is well-studied due to its direct link with Hg accumulation in aquatic food webs, there is a general lack of knowledge of processes controlling DMHg formation or degradation. By acting as a net sink or source for MMHg, DMHg may exert control over marine MMHg concentrations and subsequent Hg bioaccumulation in fish and seafood in ways currently not understood.
At present, recognized degradation pathways of DMHg in marine systems include photochemical demethylation (although this pathway has been debated). Degradation through protonolysis of the Hg-C bond by dissolved sulfide has also been suggested and supported by density function theory calculations (Ni et al, J. Phys. Chem. A, 2006). However, experimental support for this pathway is currently missing. Here, we present data from a series of experiments for the stability of DMHg in the presence of dissolved sulfide or sulfide minerals (e.g. FeS (s)). Our results show that degradation rates are dependent on the sulfide phase and DMHg:sulfide ratios. For dissolved sulfide, we observed a non-linear response between DMHg degradation and sulfide concentrations. Our results indicate that DMHg can be demethylated by sulfide at concentration ratios viable under natural marine conditions. As we found MMHg to be the first product of demethylation, this process could also constitute a significant MMHg source in marine systems.
How to cite: West, J., Graham, A., Nguyen, L., and Jonsson, S.: Dimethylmercury demethylation in the presence of sulfide, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-17656, https://doi.org/10.5194/egusphere-egu2020-17656, 2020.
In marine systems, the methylated mercury pool is approximately evenly distributed between monomethylmercury (MMHg) and dimethylmercury (DMHg). While MMHg is well-studied due to its direct link with Hg accumulation in aquatic food webs, there is a general lack of knowledge of processes controlling DMHg formation or degradation. By acting as a net sink or source for MMHg, DMHg may exert control over marine MMHg concentrations and subsequent Hg bioaccumulation in fish and seafood in ways currently not understood.
At present, recognized degradation pathways of DMHg in marine systems include photochemical demethylation (although this pathway has been debated). Degradation through protonolysis of the Hg-C bond by dissolved sulfide has also been suggested and supported by density function theory calculations (Ni et al, J. Phys. Chem. A, 2006). However, experimental support for this pathway is currently missing. Here, we present data from a series of experiments for the stability of DMHg in the presence of dissolved sulfide or sulfide minerals (e.g. FeS (s)). Our results show that degradation rates are dependent on the sulfide phase and DMHg:sulfide ratios. For dissolved sulfide, we observed a non-linear response between DMHg degradation and sulfide concentrations. Our results indicate that DMHg can be demethylated by sulfide at concentration ratios viable under natural marine conditions. As we found MMHg to be the first product of demethylation, this process could also constitute a significant MMHg source in marine systems.
How to cite: West, J., Graham, A., Nguyen, L., and Jonsson, S.: Dimethylmercury demethylation in the presence of sulfide, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-17656, https://doi.org/10.5194/egusphere-egu2020-17656, 2020.
EGU2020-9642 | Displays | BG2.22
Microbial formation of thiols control the chemical speciation and methylation of Hg(II)Mareike Franziska Gutensohn, Jeffra K. Schaefer, Ulf Skyllberg, and Erik Björn
The formation of the neurotoxin methylmercury (MeHg) is a biotic process where anaerobic bacteria methylate inorganic divalent Hg (Hg(II)) intracellularly. The cellular uptake mechanisms are still not identified, but low molecular mass (LMM) thiols play an important role together with thiol groups on the outer membrane in controlling the chemical speciation of Hg(II). For example, increased concentration of specific LMM thiols, especially cysteine, is known to enhance the formation of MeHg. A recent study showed that metabolically active anaerobic microorganisms produced LMM thiols in vivo and exported them to concentrations up to 100 nM in the assay medium. The concentration range was sufficient to significantly affect the chemical speciation, uptake and methylation of Hg(II) without any external addition of LMM thiols.
In this study we investigate the kinetics of microbial formation and cellular export of LMM thiols by the iron-reducing bacterium Geobacter sulfurreducens and the sulfate-reducing bacterium Desulfovibrio sp. ND132 in high time resolution and the impact on the chemical speciation and methylation of Hg(II).
LMM thiols were separated by liquid chromatography and determined by electrospray ionization tandem mass spectrometry (LC-ESI-MS/MS). Hg(LMM-RS)2 complexes were determined by thermodynamic modeling and by direct measurements using LC-Inductively coupled plasma MS (LC-ICPMS).
Results will be presented for the production of LMM thiol compounds, formation of Hg(LMM-RS)2 complexes and how this change in Hg speciation impacts the Hg(II) methylation rate in short-term washed cell assays. Characterizing the time-dependent molecular composition of LMM thiols associated with methylating microbes are important to further understand their multiple roles on Hg(II) uptake and MeHg formation in bacteria assays and in the environment.
How to cite: Gutensohn, M. F., Schaefer, J. K., Skyllberg, U., and Björn, E.: Microbial formation of thiols control the chemical speciation and methylation of Hg(II), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9642, https://doi.org/10.5194/egusphere-egu2020-9642, 2020.
The formation of the neurotoxin methylmercury (MeHg) is a biotic process where anaerobic bacteria methylate inorganic divalent Hg (Hg(II)) intracellularly. The cellular uptake mechanisms are still not identified, but low molecular mass (LMM) thiols play an important role together with thiol groups on the outer membrane in controlling the chemical speciation of Hg(II). For example, increased concentration of specific LMM thiols, especially cysteine, is known to enhance the formation of MeHg. A recent study showed that metabolically active anaerobic microorganisms produced LMM thiols in vivo and exported them to concentrations up to 100 nM in the assay medium. The concentration range was sufficient to significantly affect the chemical speciation, uptake and methylation of Hg(II) without any external addition of LMM thiols.
In this study we investigate the kinetics of microbial formation and cellular export of LMM thiols by the iron-reducing bacterium Geobacter sulfurreducens and the sulfate-reducing bacterium Desulfovibrio sp. ND132 in high time resolution and the impact on the chemical speciation and methylation of Hg(II).
LMM thiols were separated by liquid chromatography and determined by electrospray ionization tandem mass spectrometry (LC-ESI-MS/MS). Hg(LMM-RS)2 complexes were determined by thermodynamic modeling and by direct measurements using LC-Inductively coupled plasma MS (LC-ICPMS).
Results will be presented for the production of LMM thiol compounds, formation of Hg(LMM-RS)2 complexes and how this change in Hg speciation impacts the Hg(II) methylation rate in short-term washed cell assays. Characterizing the time-dependent molecular composition of LMM thiols associated with methylating microbes are important to further understand their multiple roles on Hg(II) uptake and MeHg formation in bacteria assays and in the environment.
How to cite: Gutensohn, M. F., Schaefer, J. K., Skyllberg, U., and Björn, E.: Microbial formation of thiols control the chemical speciation and methylation of Hg(II), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9642, https://doi.org/10.5194/egusphere-egu2020-9642, 2020.
EGU2020-6441 | Displays | BG2.22
Methylmercury production and degradation by soil microbial communitiesYu-Rong Liu and Qiaoyun Huang
Rice consumption is now recognized as an important pathway of human exposure to the neurotoxin methylmercury (MeHg), particularly in countries where rice is a staple food. Although the discovery of a two-gene cluster hgcAB has linked Hg methylation to several phylogenetically diverse groups of anaerobic microorganisms converting inorganic mercury (Hg) to MeHg, the prevalence and diversity of microbial communities associated with MeHg production and degradation in paddy soils remain unclear. Both Illumina and PacBio sequencing analyses revealed that Hg methylating communities were dominated by iron-reducing bacteria (i.e., Geobacter) and methanogens, with a relatively low abundance of hgcA+ sulfate-reducing bacteria in the soil. A positive correlation was observed between the MeHg content in soil and the relative abundance of Geobacter carrying the hgcA gene. Our structure equation modeling suggested a much stronger link between bacterial community composition and %MeHg, compared to the abundance of methylating gene (hgcA) and edaphic properties. More importantly, random forest models suggested a more important role of non-Hg methylators than Hg methylators in predicting variations of soil %MeHg.
Microbial demethylation was demonstrated by significantly more degradation of MeHg in the unsterilized soils than the sterilized controls, although more degradation was observed in water-saturated soils than the unsaturated soil. 16S rRNA Illumina sequencing and metatranscriptomic analyses consistently revealed that Catenulisporaceae, Frankiaceae, Mycobacteriaceae, and Thermomonosporaceae were among the most likely microbial taxa in influencing These findings provide new insights into microbial communities associated with MeHg accumulation in paddy soils, with important implications in mitigating the net production and bioaccumulation of MeHg in rice worldwide.
How to cite: Liu, Y.-R. and Huang, Q.: Methylmercury production and degradation by soil microbial communities , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6441, https://doi.org/10.5194/egusphere-egu2020-6441, 2020.
Rice consumption is now recognized as an important pathway of human exposure to the neurotoxin methylmercury (MeHg), particularly in countries where rice is a staple food. Although the discovery of a two-gene cluster hgcAB has linked Hg methylation to several phylogenetically diverse groups of anaerobic microorganisms converting inorganic mercury (Hg) to MeHg, the prevalence and diversity of microbial communities associated with MeHg production and degradation in paddy soils remain unclear. Both Illumina and PacBio sequencing analyses revealed that Hg methylating communities were dominated by iron-reducing bacteria (i.e., Geobacter) and methanogens, with a relatively low abundance of hgcA+ sulfate-reducing bacteria in the soil. A positive correlation was observed between the MeHg content in soil and the relative abundance of Geobacter carrying the hgcA gene. Our structure equation modeling suggested a much stronger link between bacterial community composition and %MeHg, compared to the abundance of methylating gene (hgcA) and edaphic properties. More importantly, random forest models suggested a more important role of non-Hg methylators than Hg methylators in predicting variations of soil %MeHg.
Microbial demethylation was demonstrated by significantly more degradation of MeHg in the unsterilized soils than the sterilized controls, although more degradation was observed in water-saturated soils than the unsaturated soil. 16S rRNA Illumina sequencing and metatranscriptomic analyses consistently revealed that Catenulisporaceae, Frankiaceae, Mycobacteriaceae, and Thermomonosporaceae were among the most likely microbial taxa in influencing These findings provide new insights into microbial communities associated with MeHg accumulation in paddy soils, with important implications in mitigating the net production and bioaccumulation of MeHg in rice worldwide.
How to cite: Liu, Y.-R. and Huang, Q.: Methylmercury production and degradation by soil microbial communities , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6441, https://doi.org/10.5194/egusphere-egu2020-6441, 2020.
EGU2020-9626 | Displays | BG2.22
A bottom up approach to quantify foliar uptake of gaseous elemental mercury by European forests during the 2018 growing seasonLena Wohlgemuth, Stefan Osterwalder, Günter Hoch, Christine Alewell, and Martin Jiskra
The deposition of gaseous elemental mercury, Hg(0), from the atmosphere to terrestrial surfaces remains poorly understood mainly due to difficulties in measuring net Hg(0) fluxes on the ecosystem scale. However, there is emerging evidence that vegetation uptake of atmospheric Hg(0) represents a major deposition pathway to terrestrial surfaces. We will present a novel bottom up approach to calculate Hg(0) deposition fluxes to aboveground foliage by combining foliar Hg accumulation rates on the basis of leaf area with species-specific leaf area indices. We analyzed Hg content in 583 foliage samples from major tree species at 10 European forested research sites along a latitudinal gradient from Switzerland to Northern Finland over the course of the 2018 growing season. Foliar Hg concentrations increased over time in all tree species at all sites. We found that foliar Hg accumulation rates normalized to leaf area increased with crown height and decreased with the age of multi-year old needles. We did not detect a clear latitudinal gradient in foliar Hg accumulation rates.
On an ecosystem scale we developed a simple bottom up approach for foliar Hg(0) uptake considering the systematic variations in crown height, needle age and tree species. We calculated species-specific average foliar Hg(0) dry deposition rates for the 2018 growing season of 22 ± 4 µg Hg m-2 for beech, 16 ± 8 µg Hg m-2 for oak, 3 ± 0.4 µg Hg m-2 for birch, 18 ± 10 µg Hg m-2 for spruce and 8 ± 4 µg Hg m-2 for pine. For comparison, the average Hg wet deposition flux measured at 4 of our 10 research sites during the same time period was 2.5 ± 0.2 µg Hg m-2.
Scaling up site-specific deposition rates to the forested area of Europe (EU28) resulted in a total aboveground Hg(0) deposition to foliage of approximately 20 Mg during the 2018 growing season. Our results confirm that vegetation uptake of atmospheric Hg(0) represents a major deposition pathway to terrestrial surfaces. The bottom up approach we used is a promising method to quantify Hg(0) deposition fluxes based on easy-to-do Hg concentration measurements in foliage.
How to cite: Wohlgemuth, L., Osterwalder, S., Hoch, G., Alewell, C., and Jiskra, M.: A bottom up approach to quantify foliar uptake of gaseous elemental mercury by European forests during the 2018 growing season, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9626, https://doi.org/10.5194/egusphere-egu2020-9626, 2020.
The deposition of gaseous elemental mercury, Hg(0), from the atmosphere to terrestrial surfaces remains poorly understood mainly due to difficulties in measuring net Hg(0) fluxes on the ecosystem scale. However, there is emerging evidence that vegetation uptake of atmospheric Hg(0) represents a major deposition pathway to terrestrial surfaces. We will present a novel bottom up approach to calculate Hg(0) deposition fluxes to aboveground foliage by combining foliar Hg accumulation rates on the basis of leaf area with species-specific leaf area indices. We analyzed Hg content in 583 foliage samples from major tree species at 10 European forested research sites along a latitudinal gradient from Switzerland to Northern Finland over the course of the 2018 growing season. Foliar Hg concentrations increased over time in all tree species at all sites. We found that foliar Hg accumulation rates normalized to leaf area increased with crown height and decreased with the age of multi-year old needles. We did not detect a clear latitudinal gradient in foliar Hg accumulation rates.
On an ecosystem scale we developed a simple bottom up approach for foliar Hg(0) uptake considering the systematic variations in crown height, needle age and tree species. We calculated species-specific average foliar Hg(0) dry deposition rates for the 2018 growing season of 22 ± 4 µg Hg m-2 for beech, 16 ± 8 µg Hg m-2 for oak, 3 ± 0.4 µg Hg m-2 for birch, 18 ± 10 µg Hg m-2 for spruce and 8 ± 4 µg Hg m-2 for pine. For comparison, the average Hg wet deposition flux measured at 4 of our 10 research sites during the same time period was 2.5 ± 0.2 µg Hg m-2.
Scaling up site-specific deposition rates to the forested area of Europe (EU28) resulted in a total aboveground Hg(0) deposition to foliage of approximately 20 Mg during the 2018 growing season. Our results confirm that vegetation uptake of atmospheric Hg(0) represents a major deposition pathway to terrestrial surfaces. The bottom up approach we used is a promising method to quantify Hg(0) deposition fluxes based on easy-to-do Hg concentration measurements in foliage.
How to cite: Wohlgemuth, L., Osterwalder, S., Hoch, G., Alewell, C., and Jiskra, M.: A bottom up approach to quantify foliar uptake of gaseous elemental mercury by European forests during the 2018 growing season, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9626, https://doi.org/10.5194/egusphere-egu2020-9626, 2020.
EGU2020-13936 | Displays | BG2.22
Hg release and Hg nanoparticle formation upon flooding of an agriculturally used fluvisol.Lorenz Gfeller, Andrea Weber, Isabelle Worms, Vera Slaveykova, and Adrien Mestrot
Soils in legacy sites of chlor-alkali and acetaldehyde production are point sources of mercury (Hg) to downstream eco-systems. Flooding and agricultural activities may influence the fate of Hg by altering redox conditions, microbial activity and carbon budgets. However, the complex interplay between these parameters is still not well understood. The aim of this work was to better understand the effect of flooding and fertilisation on the release/sequestration of Hg in a polluted floodplain soil.
We conducted a flooding-draining incubation experiment on two Hg polluted fluvisols (2.4 ± 0.1 and 44.8 ± 0.5 mg.kg-1 Hg). The soils originated from an agriculturally used floodplain situated in the Rhone Valley (Valais, Switzerland) and were exposed to Hg pollution by an acetaldehyde producing plant until the 1970’s. They were incubated in triplicates for each treatment. During 56 days the soils were alternately flooded and drained in intervals of 14 days. For flooding, we used an artificial rain water and a 1:1.5 soil:water ratio. The influence of agricultural activites was studied by adding 0.6% (w/w) of liquid manure in a separate treatment. We monitored pore water Hgtotal, Eh, pH, DOC and relevant metals in daily time intervals. Further, the sampled pore water was filtered in distinct intervals (10µm / 5µm / 0.45µm / 0.020µm) at specific time points and analyzed for Hgtotal. Additionally, the 0.45µm fraction was sampled to study the evolution of colloidal Hg with AF4-ICP-MS.
We observed differences between soil treated with or without manure. In the microcosms (MCs) treated with manure, we observed a Hgtotal release along with reductive disolution of Mn-oxides peaking (Hgtotal: 20.8 µg.L-1) after 5 days of flooding. Subsequently, pore water Hgtotal decreased with a simultanous decrease in pore water SO42-. This is likely due to the onset of sulfate reduction. Additionally, we observed the increase of inorganic colloidal Hg in the range of 10nm hydro dynamic diameter in manure treated MCs with higher contaminated soil during the first 2 and 10 days of incubation.
In the MCs without manure addition, the onset of reductive dissolution of Mn oxides was 2 days later. Pore water Hgtotal peaked only after 7 days of flooding (19.76 µg.L-1 Hg) and remained at the same levels until the end of the first flooding period. This is likely due to a lower microbial activity and a lower labile carbon pool in the untreated compared to the treated soils.
Flooding of our polluted fluvisol releases Hg after few days. The additional manuring accelerates this process. However, it as well accelerates the subsequent decrease of Hgtotal in the pore water. This is among others due to the formation of Hg nanoparticles. We plan to use electron microscopy in order to draw conclusions about the nature of these Hg nanoparticles.
How to cite: Gfeller, L., Weber, A., Worms, I., Slaveykova, V., and Mestrot, A.: Hg release and Hg nanoparticle formation upon flooding of an agriculturally used fluvisol., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13936, https://doi.org/10.5194/egusphere-egu2020-13936, 2020.
Soils in legacy sites of chlor-alkali and acetaldehyde production are point sources of mercury (Hg) to downstream eco-systems. Flooding and agricultural activities may influence the fate of Hg by altering redox conditions, microbial activity and carbon budgets. However, the complex interplay between these parameters is still not well understood. The aim of this work was to better understand the effect of flooding and fertilisation on the release/sequestration of Hg in a polluted floodplain soil.
We conducted a flooding-draining incubation experiment on two Hg polluted fluvisols (2.4 ± 0.1 and 44.8 ± 0.5 mg.kg-1 Hg). The soils originated from an agriculturally used floodplain situated in the Rhone Valley (Valais, Switzerland) and were exposed to Hg pollution by an acetaldehyde producing plant until the 1970’s. They were incubated in triplicates for each treatment. During 56 days the soils were alternately flooded and drained in intervals of 14 days. For flooding, we used an artificial rain water and a 1:1.5 soil:water ratio. The influence of agricultural activites was studied by adding 0.6% (w/w) of liquid manure in a separate treatment. We monitored pore water Hgtotal, Eh, pH, DOC and relevant metals in daily time intervals. Further, the sampled pore water was filtered in distinct intervals (10µm / 5µm / 0.45µm / 0.020µm) at specific time points and analyzed for Hgtotal. Additionally, the 0.45µm fraction was sampled to study the evolution of colloidal Hg with AF4-ICP-MS.
We observed differences between soil treated with or without manure. In the microcosms (MCs) treated with manure, we observed a Hgtotal release along with reductive disolution of Mn-oxides peaking (Hgtotal: 20.8 µg.L-1) after 5 days of flooding. Subsequently, pore water Hgtotal decreased with a simultanous decrease in pore water SO42-. This is likely due to the onset of sulfate reduction. Additionally, we observed the increase of inorganic colloidal Hg in the range of 10nm hydro dynamic diameter in manure treated MCs with higher contaminated soil during the first 2 and 10 days of incubation.
In the MCs without manure addition, the onset of reductive dissolution of Mn oxides was 2 days later. Pore water Hgtotal peaked only after 7 days of flooding (19.76 µg.L-1 Hg) and remained at the same levels until the end of the first flooding period. This is likely due to a lower microbial activity and a lower labile carbon pool in the untreated compared to the treated soils.
Flooding of our polluted fluvisol releases Hg after few days. The additional manuring accelerates this process. However, it as well accelerates the subsequent decrease of Hgtotal in the pore water. This is among others due to the formation of Hg nanoparticles. We plan to use electron microscopy in order to draw conclusions about the nature of these Hg nanoparticles.
How to cite: Gfeller, L., Weber, A., Worms, I., Slaveykova, V., and Mestrot, A.: Hg release and Hg nanoparticle formation upon flooding of an agriculturally used fluvisol., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13936, https://doi.org/10.5194/egusphere-egu2020-13936, 2020.
EGU2020-9083 | Displays | BG2.22
Dependence of Total Mercury in Superficial Peat With Nutrient Status: Implications for Stability of Peat as an Archive of Hg DepositionJacob Smeds
Dependence of Total Mercury in Superficial Peat With Nutrient Status: Implications for Stability of Peat as an Archive of Hg Deposition
Jacob Smeds1, Mats B. Nilsson2, Wei Zhu2, Kevin Bishop3
[1]Department of Earth Sciences, Uppsala University, Uppsala, Sweden
[2]Department of Forest Ecology, Swedish University of Agricultural Sciences, Umeå, Sweden
[3]Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Uppsala, Sweden
Although Mercury (Hg) has decreased considerably in the atmosphere during recent decades, this potent neurotoxin still constitutes a threat to ecosystems globally through the Hg stored in soils. The mitigation of the risks related to this legacy Hg was a reason to implement the Minamata Convention. Subsequent work under the convention is dependent on assessments of the Hg stored in the environment. A way of doing this is to study environmental archives of atmospheric deposition such as ice cores, lake sediments, and peatlands. A previous study along a chronosequence of mires along the northern coast of Sweden showed Hg content differing by a factor of 2 and correlating strongly with mire age. This was hypothesized to indicate that differences in minerogenic water supply along the chronosequence influenced the stability of Hg after deposition from the atmosphere to the mire surface. Declining access of minerogenic elements with increasing peatland age results in a less nutrient demanding plant species composition as well as decreasing access to microbial electron acceptors. But that study looked at just one 10 cm layer at a depth with peat ca 50 years old. Here we present a more rigorous test of that hypothesis by presenting the total amount and vertical pattern of Hg accumulation during the last 200 years in the superficial peat along that peatland chronosequence.
Eleven peatlands along the northern coast of Sweden near Umeå were sampled. This is an area where isostatic rebound continues to raise the land above the sea level. Triplicate peat cores were collected from both lawns and hummocks, when present. A total of 54 peat cores, each 50 cm deep, were collected and frozen immediately. The cores were then sliced into 2 cm layers, and each slice was analysed for total Hg. Due to the land rising out of the sea, the different peatlands have ages ranging from 100-2000 years since establishment, despite being located within a distance of <10 km. The peatland age correlates with availability of mineral elements and pH. This is due to the fact that the underlying postglacial mineral soil is a source of elements. The distance to the mineral soil increases as peat accumulates with peatland age. Certain elements also leach from the peatlands over time. This documentation of the vertical distribution of Hg in all the peat laid down during the past 200 years in each mire tests the hypothesis that the propensity of Hg to evade back to the atmosphere in this area is related to the amount and composition of inorganic elements.
How to cite: Smeds, J.: Dependence of Total Mercury in Superficial Peat With Nutrient Status: Implications for Stability of Peat as an Archive of Hg Deposition, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9083, https://doi.org/10.5194/egusphere-egu2020-9083, 2020.
Dependence of Total Mercury in Superficial Peat With Nutrient Status: Implications for Stability of Peat as an Archive of Hg Deposition
Jacob Smeds1, Mats B. Nilsson2, Wei Zhu2, Kevin Bishop3
[1]Department of Earth Sciences, Uppsala University, Uppsala, Sweden
[2]Department of Forest Ecology, Swedish University of Agricultural Sciences, Umeå, Sweden
[3]Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Uppsala, Sweden
Although Mercury (Hg) has decreased considerably in the atmosphere during recent decades, this potent neurotoxin still constitutes a threat to ecosystems globally through the Hg stored in soils. The mitigation of the risks related to this legacy Hg was a reason to implement the Minamata Convention. Subsequent work under the convention is dependent on assessments of the Hg stored in the environment. A way of doing this is to study environmental archives of atmospheric deposition such as ice cores, lake sediments, and peatlands. A previous study along a chronosequence of mires along the northern coast of Sweden showed Hg content differing by a factor of 2 and correlating strongly with mire age. This was hypothesized to indicate that differences in minerogenic water supply along the chronosequence influenced the stability of Hg after deposition from the atmosphere to the mire surface. Declining access of minerogenic elements with increasing peatland age results in a less nutrient demanding plant species composition as well as decreasing access to microbial electron acceptors. But that study looked at just one 10 cm layer at a depth with peat ca 50 years old. Here we present a more rigorous test of that hypothesis by presenting the total amount and vertical pattern of Hg accumulation during the last 200 years in the superficial peat along that peatland chronosequence.
Eleven peatlands along the northern coast of Sweden near Umeå were sampled. This is an area where isostatic rebound continues to raise the land above the sea level. Triplicate peat cores were collected from both lawns and hummocks, when present. A total of 54 peat cores, each 50 cm deep, were collected and frozen immediately. The cores were then sliced into 2 cm layers, and each slice was analysed for total Hg. Due to the land rising out of the sea, the different peatlands have ages ranging from 100-2000 years since establishment, despite being located within a distance of <10 km. The peatland age correlates with availability of mineral elements and pH. This is due to the fact that the underlying postglacial mineral soil is a source of elements. The distance to the mineral soil increases as peat accumulates with peatland age. Certain elements also leach from the peatlands over time. This documentation of the vertical distribution of Hg in all the peat laid down during the past 200 years in each mire tests the hypothesis that the propensity of Hg to evade back to the atmosphere in this area is related to the amount and composition of inorganic elements.
How to cite: Smeds, J.: Dependence of Total Mercury in Superficial Peat With Nutrient Status: Implications for Stability of Peat as an Archive of Hg Deposition, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9083, https://doi.org/10.5194/egusphere-egu2020-9083, 2020.
EGU2020-18536 | Displays | BG2.22
Permafrost thaw increases methylmercury formation in sub-arctic FennoscandiaBrittany Tarbier, Sofi Jonsson, Carluvy Baptista-Salazar, A. Britta K. Sannel, and Gustaf Hugelius
With ongoing climate change, temperatures in the northern latitudes are increasing more than twice as fast as the global mean. This causes thawing of permafrost and the release of carbon and contaminants, including mercury (Hg), which have thus far been immobilized in the frozen soil. The potential release of Hg, and microbial transformation of mobilized inorganic Hg to monomethylmercury (MeHg), presents a risk to ecosystems and human health. MeHg is a neurotoxic substance that is readily taken up and biomagnified in aquatic food webs to dangerous concentrations. Arctic communities are particularly vulnerable to Hg pollution as a result of a diet that often includes high trophic level fish and marine mammals. Despite the ecological and societal consequences of elevated Hg levels and the potential for increased Hg conversion to MeHg in post-thaw wetland environments, much of the Hg cycle in the high North is poorly understood.
While global and northern latitude Hg budgets have been estimated, the effect of permafrost thaw on MeHg formation has not yet been fully investigated. Here, we compared concentrations of total Hg (HgT) and MeHg in intact permafrost samples from palsas and peat plateaus with samples from recently thawed collapse fens and from peatlands unaffected by permafrost dynamics in order to investigate whether permafrost thaw impacts net MeHg formation in peatlands. Our study includes five subarctic permafrost peatland sites located in northern Sweden and Norway. Concentrations of HgT and MeHg in the soil cores ranges from 1.1 to 210 and 0.005 to 28 ng g-1 dry weight, respectively, with higher concentrations in the upper soil horizons. No differences were observed in average HgT and MeHg concentrations between the five sites, including both coastal and inland locations. Interestingly, we observe higher concentrations of MeHg and MeHg:HgT ratios in the collapse fens as compared to the permafrost cores, showing increased net methylation of Hg upon permafrost thaw.
How to cite: Tarbier, B., Jonsson, S., Baptista-Salazar, C., Sannel, A. B. K., and Hugelius, G.: Permafrost thaw increases methylmercury formation in sub-arctic Fennoscandia, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18536, https://doi.org/10.5194/egusphere-egu2020-18536, 2020.
With ongoing climate change, temperatures in the northern latitudes are increasing more than twice as fast as the global mean. This causes thawing of permafrost and the release of carbon and contaminants, including mercury (Hg), which have thus far been immobilized in the frozen soil. The potential release of Hg, and microbial transformation of mobilized inorganic Hg to monomethylmercury (MeHg), presents a risk to ecosystems and human health. MeHg is a neurotoxic substance that is readily taken up and biomagnified in aquatic food webs to dangerous concentrations. Arctic communities are particularly vulnerable to Hg pollution as a result of a diet that often includes high trophic level fish and marine mammals. Despite the ecological and societal consequences of elevated Hg levels and the potential for increased Hg conversion to MeHg in post-thaw wetland environments, much of the Hg cycle in the high North is poorly understood.
While global and northern latitude Hg budgets have been estimated, the effect of permafrost thaw on MeHg formation has not yet been fully investigated. Here, we compared concentrations of total Hg (HgT) and MeHg in intact permafrost samples from palsas and peat plateaus with samples from recently thawed collapse fens and from peatlands unaffected by permafrost dynamics in order to investigate whether permafrost thaw impacts net MeHg formation in peatlands. Our study includes five subarctic permafrost peatland sites located in northern Sweden and Norway. Concentrations of HgT and MeHg in the soil cores ranges from 1.1 to 210 and 0.005 to 28 ng g-1 dry weight, respectively, with higher concentrations in the upper soil horizons. No differences were observed in average HgT and MeHg concentrations between the five sites, including both coastal and inland locations. Interestingly, we observe higher concentrations of MeHg and MeHg:HgT ratios in the collapse fens as compared to the permafrost cores, showing increased net methylation of Hg upon permafrost thaw.
How to cite: Tarbier, B., Jonsson, S., Baptista-Salazar, C., Sannel, A. B. K., and Hugelius, G.: Permafrost thaw increases methylmercury formation in sub-arctic Fennoscandia, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18536, https://doi.org/10.5194/egusphere-egu2020-18536, 2020.
EGU2020-10691 | Displays | BG2.22
Total and methylmercury concentrations in Canadian alpine proglacial freshwater rivers (Banff and Jasper National Parks)Jessica A. Serbu, Vincent L. St.Louis, and Sydney J. A. Enns
Anthropogenic activities have resulted in increased mercury (Hg) emissions, and the deposition of inorganic and methyl Hg to watersheds, including those that are glaciated. Alpine glaciers are melting at unprecedented rates due to climate change, with glacier-fed rivers potentially transporting contaminants such as mercury historically archived in glacial ice to downstream proglacial environments. Hg in glacial rivers can also be derived from natural sources such as the erosion of subglacial and proglacial geologic material as glaciers melt and retreat. Furthermore, as inorganic Hg moves downstream, methylation can occur in regions of the watershed that contain wetlands, for example, transforming into it into toxic methyl Hg (MeHg) that can biomagnify in the watershed’s food web.
We conducted detailed monthly water quality surveys along three major glacial river transects (the Athabasca, North Saskatchewan, and Bow) in the Canadian Rocky Mountains (Banff and Jasper National Parks, Alberta), that included sampling for total and dissolved concentrations of total Hg (THg; all forms of Hg in a sample) and MeHg up to 100 km downstream of glacial termini. The resultant inter-seasonal data, spanning from May to December in this mid-latitude region, will be used to assess the amount of Hg originating from glacial melt in these systems and how it is transformed as it moves downstream. We will also examine contributions of Hg from the erosion of subglacial and proglacial bedrock material. Preliminary results show that THg and MeHg concentrations are very low in these rivers, consistently measuring at less that 3 ng/L. Additionally, as one moves downstream a larger proportion of THg is in the dissolved fraction. MeHg always measured around or below our laboratory’s detection limit (0.01 ng/L) regardless of the sampling location on our river transects.
The presence of contaminants such as Hg can have negative impacts on freshwater quality, organisms within the watershed, and downstream human populations. Quantifying the amount and speciation of Hg in the headwaters of three primary watersheds in Canada could have important implications for future research and the ongoing challenge of properly planning for drastic climate change effects in glaciated alpine regions despite concentrations of THg and MeHg being so low.
How to cite: Serbu, J. A., St.Louis, V. L., and Enns, S. J. A.: Total and methylmercury concentrations in Canadian alpine proglacial freshwater rivers (Banff and Jasper National Parks), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10691, https://doi.org/10.5194/egusphere-egu2020-10691, 2020.
Anthropogenic activities have resulted in increased mercury (Hg) emissions, and the deposition of inorganic and methyl Hg to watersheds, including those that are glaciated. Alpine glaciers are melting at unprecedented rates due to climate change, with glacier-fed rivers potentially transporting contaminants such as mercury historically archived in glacial ice to downstream proglacial environments. Hg in glacial rivers can also be derived from natural sources such as the erosion of subglacial and proglacial geologic material as glaciers melt and retreat. Furthermore, as inorganic Hg moves downstream, methylation can occur in regions of the watershed that contain wetlands, for example, transforming into it into toxic methyl Hg (MeHg) that can biomagnify in the watershed’s food web.
We conducted detailed monthly water quality surveys along three major glacial river transects (the Athabasca, North Saskatchewan, and Bow) in the Canadian Rocky Mountains (Banff and Jasper National Parks, Alberta), that included sampling for total and dissolved concentrations of total Hg (THg; all forms of Hg in a sample) and MeHg up to 100 km downstream of glacial termini. The resultant inter-seasonal data, spanning from May to December in this mid-latitude region, will be used to assess the amount of Hg originating from glacial melt in these systems and how it is transformed as it moves downstream. We will also examine contributions of Hg from the erosion of subglacial and proglacial bedrock material. Preliminary results show that THg and MeHg concentrations are very low in these rivers, consistently measuring at less that 3 ng/L. Additionally, as one moves downstream a larger proportion of THg is in the dissolved fraction. MeHg always measured around or below our laboratory’s detection limit (0.01 ng/L) regardless of the sampling location on our river transects.
The presence of contaminants such as Hg can have negative impacts on freshwater quality, organisms within the watershed, and downstream human populations. Quantifying the amount and speciation of Hg in the headwaters of three primary watersheds in Canada could have important implications for future research and the ongoing challenge of properly planning for drastic climate change effects in glaciated alpine regions despite concentrations of THg and MeHg being so low.
How to cite: Serbu, J. A., St.Louis, V. L., and Enns, S. J. A.: Total and methylmercury concentrations in Canadian alpine proglacial freshwater rivers (Banff and Jasper National Parks), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10691, https://doi.org/10.5194/egusphere-egu2020-10691, 2020.
EGU2020-19089 | Displays | BG2.22
Polar microbes and their implications in the aquatic mercury cycleCéline Lavergne, Lars-Eric Heimburger, Patricia Bovio-Winkler, Rolando Chamy, and Léa Cabrol
The methylmercury has the feature, in addition to its high toxicity for living organisms, to be easily incorporated, bioaccumulated and biomagnified through the food web in aquatic systems. Recently, the microorganisms implicated in the transformation of mercury to methylmercury have been found much more diverse than previously thought. Among them, 9 methanogenic Archaea strains are able to methylate the mercury in pure culture. However, few proofs exist in situ in polar aquatic systems. Antarctic polar regions receive atmospheric mercury through long-range transport of foreign emissions. In a context of increasing releases of heavy metals in aquatic environments and atmosphere, it is a crucial objective to elucidate the fate of mercury in Antarctic polar aquatic ecosystems and the role Archaea could play in mercury transformations. Hence, microbial diversity was investigated in pristine Antarctic lakes (South Shetland Islands, Antarctic, Chile) and continental sub-Antarctic beaver ponds (Tierra del Fuego, Chile) where benthic total mercury concentration was 14 ±6.5 and 89 ±13 ppm, respectively. Until 6.3% of the active community could be constituted by putative methylators and a positive significant correlation was found between total mercury concentration and putative methylator relative abundance (linear model, p-value=0.001). Putative methylator Archaea Methanoregula and Methanosphaerula have been detected but did not seem active in the studied ecosystems (RNA metabarcoding VS DNA metabarcoding).
Combined with these molecular data, mercury methylation and methylmercury demethylation activities were performed by addition of enriched stables isotopes of inorganic mercury and methylmercury, respectively and we expect to find highest methylation rates in the rich-organic matter ecosystems such as sub-Antarctic beaver ponds.
How to cite: Lavergne, C., Heimburger, L.-E., Bovio-Winkler, P., Chamy, R., and Cabrol, L.: Polar microbes and their implications in the aquatic mercury cycle, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19089, https://doi.org/10.5194/egusphere-egu2020-19089, 2020.
The methylmercury has the feature, in addition to its high toxicity for living organisms, to be easily incorporated, bioaccumulated and biomagnified through the food web in aquatic systems. Recently, the microorganisms implicated in the transformation of mercury to methylmercury have been found much more diverse than previously thought. Among them, 9 methanogenic Archaea strains are able to methylate the mercury in pure culture. However, few proofs exist in situ in polar aquatic systems. Antarctic polar regions receive atmospheric mercury through long-range transport of foreign emissions. In a context of increasing releases of heavy metals in aquatic environments and atmosphere, it is a crucial objective to elucidate the fate of mercury in Antarctic polar aquatic ecosystems and the role Archaea could play in mercury transformations. Hence, microbial diversity was investigated in pristine Antarctic lakes (South Shetland Islands, Antarctic, Chile) and continental sub-Antarctic beaver ponds (Tierra del Fuego, Chile) where benthic total mercury concentration was 14 ±6.5 and 89 ±13 ppm, respectively. Until 6.3% of the active community could be constituted by putative methylators and a positive significant correlation was found between total mercury concentration and putative methylator relative abundance (linear model, p-value=0.001). Putative methylator Archaea Methanoregula and Methanosphaerula have been detected but did not seem active in the studied ecosystems (RNA metabarcoding VS DNA metabarcoding).
Combined with these molecular data, mercury methylation and methylmercury demethylation activities were performed by addition of enriched stables isotopes of inorganic mercury and methylmercury, respectively and we expect to find highest methylation rates in the rich-organic matter ecosystems such as sub-Antarctic beaver ponds.
How to cite: Lavergne, C., Heimburger, L.-E., Bovio-Winkler, P., Chamy, R., and Cabrol, L.: Polar microbes and their implications in the aquatic mercury cycle, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19089, https://doi.org/10.5194/egusphere-egu2020-19089, 2020.
EGU2020-6320 | Displays | BG2.22
Human Health Benefits of the Minamata Convention on MercuryYanxu Zhang
The Minamata Convention is a legally-binding international treaty aimed at reducing the anthropogenic release of mercury, a potent neurotoxin. However, its human health benefit has not been quantified at a global scale. Here we evaluate the Convention’s benefit by a coupled climate-atmosphere-land-ocean-ecosystem model and a human mercury exposure component that considers all food categories. We find the mercury health risk decreases nonlinearly with emission reduction, and the most optimistic scenario leads to mercury level in marine biota half of the present-day level. Our results show that the accumulated benefits of the Convention are 660 billion USD avoided earn loss (3% discount rate, realized in 2010) and 1.2 million avoided deaths from fatal heart attacks over the period 2010-2100, with substantial global human health cost if delaying emission reduction actions. Such a comprehensive modelling approach helps parties to evaluate the effectiveness of implementation as required by the Convention.
How to cite: Zhang, Y.: Human Health Benefits of the Minamata Convention on Mercury, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6320, https://doi.org/10.5194/egusphere-egu2020-6320, 2020.
The Minamata Convention is a legally-binding international treaty aimed at reducing the anthropogenic release of mercury, a potent neurotoxin. However, its human health benefit has not been quantified at a global scale. Here we evaluate the Convention’s benefit by a coupled climate-atmosphere-land-ocean-ecosystem model and a human mercury exposure component that considers all food categories. We find the mercury health risk decreases nonlinearly with emission reduction, and the most optimistic scenario leads to mercury level in marine biota half of the present-day level. Our results show that the accumulated benefits of the Convention are 660 billion USD avoided earn loss (3% discount rate, realized in 2010) and 1.2 million avoided deaths from fatal heart attacks over the period 2010-2100, with substantial global human health cost if delaying emission reduction actions. Such a comprehensive modelling approach helps parties to evaluate the effectiveness of implementation as required by the Convention.
How to cite: Zhang, Y.: Human Health Benefits of the Minamata Convention on Mercury, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6320, https://doi.org/10.5194/egusphere-egu2020-6320, 2020.
EGU2020-12394 | Displays | BG2.22
Measurements of atmospheric gaseous elemental mercury (GEM) and GEM fluxes in the seas of Southeast Asia in October-December 2019Viktor Kalinchuk, Evgeny Lopatnikov, Anatoly Astakhov, Maksim Ivanov, Renat Shakirov, and Do Huy Cuong
Measurements of gaseous elemental mercury (GEM) in the marine boundary layer (MBL) and GEM evasion fluxes were carried out during the Russian-Vietnam cruise conducted from the Sea of Japan to the South China Sea from October 25 to December 7, 2019. All GEM measurements were performed using two RA-915M mercury analysers (Lumex LLC, Russia). Atmospheric GEM concentrations were measured at two levels (about 2 m and 20 m above the sea surface) with a time resolution of 30 minutes. GEM fluxes were measured in the South China Sea using a dynamic flux chamber.
GEM concentrations ranged between 0.56 ng/m3 and 25.47 ng/m3, and between 0.39 ng/m3 and 23.95 ng/m3 with medians of 1.38 ng/m3 and 1.45 ng/m3 for 2 m and 20 m measurements, respectively. GEM concentrations were significantly affected by air transport of GEM. Concentration Weighted Trajectory (CWT) analysis showed several source regions potentially influencing GEM concentrations in the ambient air during the cruise: the south of the South China Sea, Vietnam, the southeastern China, the south of Japan and the Korean peninsula. Maximum concentrations (up to 25 ng/m3) were registered in Haiphong (Vietnam).
Hg(0) fluxes measured at 7 stations in the South China Sea ranged from 1.1 ng/m2/h to 2.5 ng/m2/h, with median value of 2.07 ng/m2/h. These values were 1,5 times higher than those that were measured by the same method in the Sea of Japan and the Sea of Okhotsk a month earlier.
This work was supported by the Russian Science Foundation (RSF) (Project № 19-77-10011).
How to cite: Kalinchuk, V., Lopatnikov, E., Astakhov, A., Ivanov, M., Shakirov, R., and Cuong, D. H.: Measurements of atmospheric gaseous elemental mercury (GEM) and GEM fluxes in the seas of Southeast Asia in October-December 2019, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12394, https://doi.org/10.5194/egusphere-egu2020-12394, 2020.
Measurements of gaseous elemental mercury (GEM) in the marine boundary layer (MBL) and GEM evasion fluxes were carried out during the Russian-Vietnam cruise conducted from the Sea of Japan to the South China Sea from October 25 to December 7, 2019. All GEM measurements were performed using two RA-915M mercury analysers (Lumex LLC, Russia). Atmospheric GEM concentrations were measured at two levels (about 2 m and 20 m above the sea surface) with a time resolution of 30 minutes. GEM fluxes were measured in the South China Sea using a dynamic flux chamber.
GEM concentrations ranged between 0.56 ng/m3 and 25.47 ng/m3, and between 0.39 ng/m3 and 23.95 ng/m3 with medians of 1.38 ng/m3 and 1.45 ng/m3 for 2 m and 20 m measurements, respectively. GEM concentrations were significantly affected by air transport of GEM. Concentration Weighted Trajectory (CWT) analysis showed several source regions potentially influencing GEM concentrations in the ambient air during the cruise: the south of the South China Sea, Vietnam, the southeastern China, the south of Japan and the Korean peninsula. Maximum concentrations (up to 25 ng/m3) were registered in Haiphong (Vietnam).
Hg(0) fluxes measured at 7 stations in the South China Sea ranged from 1.1 ng/m2/h to 2.5 ng/m2/h, with median value of 2.07 ng/m2/h. These values were 1,5 times higher than those that were measured by the same method in the Sea of Japan and the Sea of Okhotsk a month earlier.
This work was supported by the Russian Science Foundation (RSF) (Project № 19-77-10011).
How to cite: Kalinchuk, V., Lopatnikov, E., Astakhov, A., Ivanov, M., Shakirov, R., and Cuong, D. H.: Measurements of atmospheric gaseous elemental mercury (GEM) and GEM fluxes in the seas of Southeast Asia in October-December 2019, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12394, https://doi.org/10.5194/egusphere-egu2020-12394, 2020.
EGU2020-12677 | Displays | BG2.22
Atmospheric mercury (Hg(0)) concentrations and Hg(0) fluxes in the Sea of Japan and the Okhotsk Sea in fall 2019Evgeny Lopatnikov, Viktor Kalinchuk, Anatoly Astakhov, Yang Gang, and Jianjun Zou
Continuous measurements of gaseous elemental mercury (Hg(0)) in the marine boundary layer (MBL) and Hg(0) fluxes were conducted in the Sea of Japan and the Sea of Okhotsk from September 7 to October 17, 2019. All Hg(0) measurements were carried out using two RA-915M mercury analysers (Lumex LLC, Russia). Hg(0) concentrations in the air were measured at two levels (about 2 m and 20 m above the sea surface) with a time resolution of 30 minutes. Hg(0) fluxes were measured at five sample stations using a dynamic flux chamber.
During the cruise Hg(0) concentrations varied in the range from 0,47 ng/m3 to 1,55 ng/m3, and from 0,31 ng/m3 to 2,71 ng/m3 with medians of 0,92 ng/m3 for 2 m and 20 m, respectively. Atmospheric Hg(0) concentrations in measurements sites were strongly depended on the regions from where air masses came to the study areas. As a result of the Concentration Weighted Trajectory (CWT) analysis we established 2 regions that influenced the Hg(0) concentrations during the cruise: the Northeast China with the Yellow Sea region and the Kurile Islands sector of the Pacific Ocean. The arrival of air masses from China and the Yellow Sea region caused an increase in Hg(0) concentrations in the air in the Sea of Japan and the Sea of Okhotsk. Elevated concentrations were also observed In the Sea of Okhotsk during the periods air masses came from the Kurile Islands sector of the Pacific Ocean.
Hg(0) fluxes were measured at 3 stations in the Sea of Japan and at 2 stations in the Sea of Okhotsk. The values ranged from 0,57 ng/m2/h to 1,55 ng/m2/h, with median value of 1,32 ng/m2/h. A positive relationships between Hg(0) flux and air and water temperature were observed.
This work was supported by the Russian Science Foundation (RSF) (Project № 19-77-10011) and by the National Natural Science Foundation of China (Projects №: 41876065, 41420104005, U1606401) and National Program on Global Change and Air-Sea Interaction (Project № GASI-GEOGE-04).
How to cite: Lopatnikov, E., Kalinchuk, V., Astakhov, A., Gang, Y., and Zou, J.: Atmospheric mercury (Hg(0)) concentrations and Hg(0) fluxes in the Sea of Japan and the Okhotsk Sea in fall 2019, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12677, https://doi.org/10.5194/egusphere-egu2020-12677, 2020.
Continuous measurements of gaseous elemental mercury (Hg(0)) in the marine boundary layer (MBL) and Hg(0) fluxes were conducted in the Sea of Japan and the Sea of Okhotsk from September 7 to October 17, 2019. All Hg(0) measurements were carried out using two RA-915M mercury analysers (Lumex LLC, Russia). Hg(0) concentrations in the air were measured at two levels (about 2 m and 20 m above the sea surface) with a time resolution of 30 minutes. Hg(0) fluxes were measured at five sample stations using a dynamic flux chamber.
During the cruise Hg(0) concentrations varied in the range from 0,47 ng/m3 to 1,55 ng/m3, and from 0,31 ng/m3 to 2,71 ng/m3 with medians of 0,92 ng/m3 for 2 m and 20 m, respectively. Atmospheric Hg(0) concentrations in measurements sites were strongly depended on the regions from where air masses came to the study areas. As a result of the Concentration Weighted Trajectory (CWT) analysis we established 2 regions that influenced the Hg(0) concentrations during the cruise: the Northeast China with the Yellow Sea region and the Kurile Islands sector of the Pacific Ocean. The arrival of air masses from China and the Yellow Sea region caused an increase in Hg(0) concentrations in the air in the Sea of Japan and the Sea of Okhotsk. Elevated concentrations were also observed In the Sea of Okhotsk during the periods air masses came from the Kurile Islands sector of the Pacific Ocean.
Hg(0) fluxes were measured at 3 stations in the Sea of Japan and at 2 stations in the Sea of Okhotsk. The values ranged from 0,57 ng/m2/h to 1,55 ng/m2/h, with median value of 1,32 ng/m2/h. A positive relationships between Hg(0) flux and air and water temperature were observed.
This work was supported by the Russian Science Foundation (RSF) (Project № 19-77-10011) and by the National Natural Science Foundation of China (Projects №: 41876065, 41420104005, U1606401) and National Program on Global Change and Air-Sea Interaction (Project № GASI-GEOGE-04).
How to cite: Lopatnikov, E., Kalinchuk, V., Astakhov, A., Gang, Y., and Zou, J.: Atmospheric mercury (Hg(0)) concentrations and Hg(0) fluxes in the Sea of Japan and the Okhotsk Sea in fall 2019, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12677, https://doi.org/10.5194/egusphere-egu2020-12677, 2020.
EGU2020-12787 | Displays | BG2.22
A Diagnosis Analysis to inter-annual variation of air-sea Hg flux in global ocean and the “seesaw” effect in equatorial PacificShaojian huang and Yanxu Zhang
The inter-annual variation of mercury(Hg) was spotted in monitoring stations, like the Alert and Mace Head. Nevertheless, the potential reason still lacks of studying. With periodic disturbance like ENSO, air-sea exchange flux, the largest flux between Earth system reservoirs, might greatly contribute to the inter-annual variation of Hg. Therefore, this study intended to explore the inter-annual variation of Hg0, a dominant evasion form of Hg, driven by MITgcm (ocean model). In general, the inter-annual variation of Hg evasion from global ocean was relatively stable in mid and high latitude, but a violent fluctuation was found in the tropical sea areas, especially equatorial Pacific. A distinct latitudinal difference was spotted that the fluctuation of Hg0 evasion was mainly attributed to wind speed in tropical sea areas, while in temperate zones were correlated with precipitation. Besides, air temperature variation seems to control the Hg0 evasion in the sea areas of South Temperate Zone (STZ) as well as South Frigid Zone (SFZ). Furthermore, an evident “seesaw” effect of Hg0 evasion anomaly was observed in equatorial Pacific, especially within Nino 3.4 and Nino 4, between El Niño(EN) and La Niña(LN) events. The increasing (decreasing) evasion anomaly in Nino 3.4 during the LN(EN) mainly attributed to the increase (decrease) of wind speed induced by stronger Walker circulation. While the increasing (decreasing) evasion anomaly in Nino 4 during EN(LN) was likely accounted for the rising (reducing) precipitation caused by the collapse of Walker circulation as well as the eastward shifting upward motion. Subsequently, the increasing anomaly of Hg0 evasion was simulated by GEOS-Chem model to further explore the potential impact. Results showed that countries, like American, China, India and Brazil. have occupied a large proportion of crops farming, but there spotted a relatively higher THg deposition anomalies, which might increase the human exposure to Hg. Finally, based on limited information, a hypothesis was put forward that there might be an indirect impact of ENSO-driven MeHg variation on the mass mortality of marine mammals.
How to cite: huang, S. and Zhang, Y.: A Diagnosis Analysis to inter-annual variation of air-sea Hg flux in global ocean and the “seesaw” effect in equatorial Pacific, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12787, https://doi.org/10.5194/egusphere-egu2020-12787, 2020.
The inter-annual variation of mercury(Hg) was spotted in monitoring stations, like the Alert and Mace Head. Nevertheless, the potential reason still lacks of studying. With periodic disturbance like ENSO, air-sea exchange flux, the largest flux between Earth system reservoirs, might greatly contribute to the inter-annual variation of Hg. Therefore, this study intended to explore the inter-annual variation of Hg0, a dominant evasion form of Hg, driven by MITgcm (ocean model). In general, the inter-annual variation of Hg evasion from global ocean was relatively stable in mid and high latitude, but a violent fluctuation was found in the tropical sea areas, especially equatorial Pacific. A distinct latitudinal difference was spotted that the fluctuation of Hg0 evasion was mainly attributed to wind speed in tropical sea areas, while in temperate zones were correlated with precipitation. Besides, air temperature variation seems to control the Hg0 evasion in the sea areas of South Temperate Zone (STZ) as well as South Frigid Zone (SFZ). Furthermore, an evident “seesaw” effect of Hg0 evasion anomaly was observed in equatorial Pacific, especially within Nino 3.4 and Nino 4, between El Niño(EN) and La Niña(LN) events. The increasing (decreasing) evasion anomaly in Nino 3.4 during the LN(EN) mainly attributed to the increase (decrease) of wind speed induced by stronger Walker circulation. While the increasing (decreasing) evasion anomaly in Nino 4 during EN(LN) was likely accounted for the rising (reducing) precipitation caused by the collapse of Walker circulation as well as the eastward shifting upward motion. Subsequently, the increasing anomaly of Hg0 evasion was simulated by GEOS-Chem model to further explore the potential impact. Results showed that countries, like American, China, India and Brazil. have occupied a large proportion of crops farming, but there spotted a relatively higher THg deposition anomalies, which might increase the human exposure to Hg. Finally, based on limited information, a hypothesis was put forward that there might be an indirect impact of ENSO-driven MeHg variation on the mass mortality of marine mammals.
How to cite: huang, S. and Zhang, Y.: A Diagnosis Analysis to inter-annual variation of air-sea Hg flux in global ocean and the “seesaw” effect in equatorial Pacific, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12787, https://doi.org/10.5194/egusphere-egu2020-12787, 2020.
EGU2020-13103 | Displays | BG2.22
Investigation of long-term fate of mercury in the ocean using a new global modelToru Kawai, Takeo Sakurai, and Noriyuki Suzuki
Numerical modeling is useful for evaluating the international efforts, such as the Minamata Convention on Mercury, that are directed towards the reduction of anthropogenic emissions. We have developed a new global model for mercury, denoted FATE-Hg, which is based on a fully coupled atmosphere-ocean chemical transport model and low and high-order marine ecosystem models. The model considers methylated mercury production in the open ocean seawater, bioconcentration, and food-web biomagnification from particle organic matter to fish. In this study, we performed a long-term simulation over three centuries with changes in anthropogenic emission since the Industrial Revolution, and investigated the long-term evolution of total mercury (THg) in the ocean. The simulated oceanic THg showed a phase lag of 5–10 years from the anthropogenic emission in the surface-intermediate oceans. As of 2010, oceanic THg was 410 Gg, which is 1.6–16.9 times higher than that estimated by the previous model. The estimated overall turnover time of oceanic THg determined by our model was 320 years, which is significantly shorter than those estimated by previous model-based studies. Additionally, we estimated geographic THg sources in the upper ocean. The results showed that North America (NA), Europe (EU), and East Asia are the dominant source regions in most ocean sections in the Northern Hemisphere, though the emissions from NA and EU have fall considerably since the 1970s. This result indicated that a significant amount of mercury that had been emitted from NA and EU in the past persists in present-day seawater.
How to cite: Kawai, T., Sakurai, T., and Suzuki, N.: Investigation of long-term fate of mercury in the ocean using a new global model, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13103, https://doi.org/10.5194/egusphere-egu2020-13103, 2020.
Numerical modeling is useful for evaluating the international efforts, such as the Minamata Convention on Mercury, that are directed towards the reduction of anthropogenic emissions. We have developed a new global model for mercury, denoted FATE-Hg, which is based on a fully coupled atmosphere-ocean chemical transport model and low and high-order marine ecosystem models. The model considers methylated mercury production in the open ocean seawater, bioconcentration, and food-web biomagnification from particle organic matter to fish. In this study, we performed a long-term simulation over three centuries with changes in anthropogenic emission since the Industrial Revolution, and investigated the long-term evolution of total mercury (THg) in the ocean. The simulated oceanic THg showed a phase lag of 5–10 years from the anthropogenic emission in the surface-intermediate oceans. As of 2010, oceanic THg was 410 Gg, which is 1.6–16.9 times higher than that estimated by the previous model. The estimated overall turnover time of oceanic THg determined by our model was 320 years, which is significantly shorter than those estimated by previous model-based studies. Additionally, we estimated geographic THg sources in the upper ocean. The results showed that North America (NA), Europe (EU), and East Asia are the dominant source regions in most ocean sections in the Northern Hemisphere, though the emissions from NA and EU have fall considerably since the 1970s. This result indicated that a significant amount of mercury that had been emitted from NA and EU in the past persists in present-day seawater.
How to cite: Kawai, T., Sakurai, T., and Suzuki, N.: Investigation of long-term fate of mercury in the ocean using a new global model, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13103, https://doi.org/10.5194/egusphere-egu2020-13103, 2020.
EGU2020-19753 | Displays | BG2.22
First eddy covariance flux measurements of gaseous elemental mercury over a grasslandStefan Osterwalder, Werner Eugster, Iris Feigenwinter, and Martin Jiskra
Direct measurements of the net ecosystem exchange (NEE) of gaseous elemental mercury (Hg0) are crucial to improve our understanding of global Hg cycling and ultimately Hg exposure in humans and wildlife. The lack of long-term, ecosystem-scale measurements causes large uncertainties in Hg0 flux estimates. Today it remains unclear whether terrestrial ecosystems are net sinks or sources of atmospheric Hg0. Here, we present the first successful eddy covariance NEE measurements of Hg0 over natural, low-Hg soils (41 - 75 ng Hg g-1 topsoil [0-10 cm]) at a managed grassland site in Chamau, Switzerland. We present a detailed validation of the eddy covariance technique for Hg0 based on a Lumex mercury monitor RA-915AM. The flux detection limit derived from a zero-flux experiment in the laboratory was 0.22 ng m-2 h-1 (maximum) with a 50 % cut-off at 0.074 ng m-2 h-1. The statistical estimate of the Hg0 flux detection limit under real-world outdoor conditions at the site was 5.9 ng m-2 h-1 (50 % cut-off). Based on our analysis we give suggestions to further improve the precision of the system and pinpoint challenges and interferences that occurred during the 34-day pilot campaign in summer 2018. The data were obtained during extremely hot and dry meteorological conditions. We estimated a net summertime grassland-atmosphere Hg0 flux from -0.6 to 7.4 ng m-2 h-1 (range between 25th and 75th percentiles). The measurements revealed a distinct diel pattern with lower nighttime fluxes (1.0 ng m-2 h-1) compared to daytime fluxes (8.4 ng m-2 h-1). Drought stress during the campaign induced partial stomata closure of vegetation leading to a midday depression in CO2 uptake, which did not recover during the afternoon. We suggest that partial stomata closure dampened Hg0 uptake by vegetation as well, resulting in a NEE of Hg0 dominated by soil emission. The new Eddy Mercury system seems suitable to complement existing research infrastructures such as ICOS RI in Europe or NOAA Observing Systems in the US built to calculate greenhouse gas balances with direct Hg0 deposition and emission measurements. We anticipate our Eddy Mercury system to improve knowledge about Hg cycling between ecosystems and the atmosphere and to challenge model simulations on a regional and global scale.
How to cite: Osterwalder, S., Eugster, W., Feigenwinter, I., and Jiskra, M.: First eddy covariance flux measurements of gaseous elemental mercury over a grassland, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19753, https://doi.org/10.5194/egusphere-egu2020-19753, 2020.
Direct measurements of the net ecosystem exchange (NEE) of gaseous elemental mercury (Hg0) are crucial to improve our understanding of global Hg cycling and ultimately Hg exposure in humans and wildlife. The lack of long-term, ecosystem-scale measurements causes large uncertainties in Hg0 flux estimates. Today it remains unclear whether terrestrial ecosystems are net sinks or sources of atmospheric Hg0. Here, we present the first successful eddy covariance NEE measurements of Hg0 over natural, low-Hg soils (41 - 75 ng Hg g-1 topsoil [0-10 cm]) at a managed grassland site in Chamau, Switzerland. We present a detailed validation of the eddy covariance technique for Hg0 based on a Lumex mercury monitor RA-915AM. The flux detection limit derived from a zero-flux experiment in the laboratory was 0.22 ng m-2 h-1 (maximum) with a 50 % cut-off at 0.074 ng m-2 h-1. The statistical estimate of the Hg0 flux detection limit under real-world outdoor conditions at the site was 5.9 ng m-2 h-1 (50 % cut-off). Based on our analysis we give suggestions to further improve the precision of the system and pinpoint challenges and interferences that occurred during the 34-day pilot campaign in summer 2018. The data were obtained during extremely hot and dry meteorological conditions. We estimated a net summertime grassland-atmosphere Hg0 flux from -0.6 to 7.4 ng m-2 h-1 (range between 25th and 75th percentiles). The measurements revealed a distinct diel pattern with lower nighttime fluxes (1.0 ng m-2 h-1) compared to daytime fluxes (8.4 ng m-2 h-1). Drought stress during the campaign induced partial stomata closure of vegetation leading to a midday depression in CO2 uptake, which did not recover during the afternoon. We suggest that partial stomata closure dampened Hg0 uptake by vegetation as well, resulting in a NEE of Hg0 dominated by soil emission. The new Eddy Mercury system seems suitable to complement existing research infrastructures such as ICOS RI in Europe or NOAA Observing Systems in the US built to calculate greenhouse gas balances with direct Hg0 deposition and emission measurements. We anticipate our Eddy Mercury system to improve knowledge about Hg cycling between ecosystems and the atmosphere and to challenge model simulations on a regional and global scale.
How to cite: Osterwalder, S., Eugster, W., Feigenwinter, I., and Jiskra, M.: First eddy covariance flux measurements of gaseous elemental mercury over a grassland, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19753, https://doi.org/10.5194/egusphere-egu2020-19753, 2020.
EGU2020-1598 | Displays | BG2.22
The storage and influencing factors of mercury in the permafrost of the Tibetan PlateauJing Gu, Qiaotong Pang, Jinzhi Ding, Runsheng Yin, Yuanhe Yang, and Yanxu Zhang
Soil is one of the largest reservoir of mercury in the environment. Globally, most of the mercury in the soil is stored in permafrost, such as the Arctic and the Tibetan Plateau. Mercury in the soil is mainly derived from atmospheric deposition and tightly bound to the organic carbon. The mercury level in the permafrost over the Tibetan Plateau and its influencing factors have been less studied. This study analyzes soil total mercury (STHg) concentrations and its vertical distribution in meadow soil samples collected from the Tibetan Plateau. We adopt a nested-grid high-resolution GEOS-Chem model to simulate atmospheric mercury deposition. The relationship between STHg and soil organic carbon(OCD) as well as atmospheric deposition are explored. We also extend our analysis to data in the Tibetan Plateau and other regions of China in the literature. Our results show that the STHg concentrations in the Tibetan Plateau are 19.9±12.4 ng/g. The concentrations are higher in the south/east and lower in the north/west in the Tibetan Plateau, consistent with the previous results. Our model shows that the average deposition flux of Hg is 3.3 ug m-2 yr-1 with 57% contributed by dry deposition of Hg0, followed by dry deposition of HgII and HgP (19%) and wet deposition (24%). We calculate the Hg to carbon ratio (RHgC) of 5.52 ± 5.11 μg Hg/g C and the estimated STHg is 67.45 Gg in alpine grasslands in the Tibetan Plateau, contributing about 2.7% globally. We find a positive correlation between OCD and STHg in the Tibetan Plateau(Log(STHg) = 0.35log(OCD) + 0.99, R2 = 0.24) and a weak relationship between model residual (defined as the difference between model fitting values and observations) and atmospheric total Hg deposition. We conclude that soil organic carbon(SOC) and atmospheric deposition work simultaneously for STHg. Atmospheric deposition determines the potential levels of STHg in large spatial scales, while SOC and its characteristics modulate STHg locally by influencing the fate and transport of Hg.
How to cite: Gu, J., Pang, Q., Ding, J., Yin, R., Yang, Y., and Zhang, Y.: The storage and influencing factors of mercury in the permafrost of the Tibetan Plateau, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1598, https://doi.org/10.5194/egusphere-egu2020-1598, 2020.
Soil is one of the largest reservoir of mercury in the environment. Globally, most of the mercury in the soil is stored in permafrost, such as the Arctic and the Tibetan Plateau. Mercury in the soil is mainly derived from atmospheric deposition and tightly bound to the organic carbon. The mercury level in the permafrost over the Tibetan Plateau and its influencing factors have been less studied. This study analyzes soil total mercury (STHg) concentrations and its vertical distribution in meadow soil samples collected from the Tibetan Plateau. We adopt a nested-grid high-resolution GEOS-Chem model to simulate atmospheric mercury deposition. The relationship between STHg and soil organic carbon(OCD) as well as atmospheric deposition are explored. We also extend our analysis to data in the Tibetan Plateau and other regions of China in the literature. Our results show that the STHg concentrations in the Tibetan Plateau are 19.9±12.4 ng/g. The concentrations are higher in the south/east and lower in the north/west in the Tibetan Plateau, consistent with the previous results. Our model shows that the average deposition flux of Hg is 3.3 ug m-2 yr-1 with 57% contributed by dry deposition of Hg0, followed by dry deposition of HgII and HgP (19%) and wet deposition (24%). We calculate the Hg to carbon ratio (RHgC) of 5.52 ± 5.11 μg Hg/g C and the estimated STHg is 67.45 Gg in alpine grasslands in the Tibetan Plateau, contributing about 2.7% globally. We find a positive correlation between OCD and STHg in the Tibetan Plateau(Log(STHg) = 0.35log(OCD) + 0.99, R2 = 0.24) and a weak relationship between model residual (defined as the difference between model fitting values and observations) and atmospheric total Hg deposition. We conclude that soil organic carbon(SOC) and atmospheric deposition work simultaneously for STHg. Atmospheric deposition determines the potential levels of STHg in large spatial scales, while SOC and its characteristics modulate STHg locally by influencing the fate and transport of Hg.
How to cite: Gu, J., Pang, Q., Ding, J., Yin, R., Yang, Y., and Zhang, Y.: The storage and influencing factors of mercury in the permafrost of the Tibetan Plateau, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1598, https://doi.org/10.5194/egusphere-egu2020-1598, 2020.
EGU2020-11718 | Displays | BG2.22
Bottom Sediments of Arctic Lakes as Indicators of Mercury Biogeochemical MigrationYury Tatsiy
Studies of dated cores of bottom sediments from Arctic lakes to determine flows and the history of sedimentation of heavy metals have been carried out since the beginning of the 90s. This is largely due to the need to understand the spatial and temporal trends of pollution in the Arctic and the ways of influencing wildlife and people, especially in a changing climate. Arctic lakes are sensitive indicators of global changes in the environment and climate, as well as the effects of regional and transboundary transport of pollutants. Bottom sediments of Arctic lakes that are not subject to direct anthropogenic influences are a kind of paleoclimatic and paleogeochemical archives that contain information about biogeochemical processes on the catchment and in the reservoir itself, informatively reflect environmental changes.
Arctic mercury is of particular interest. Besides the fact that this metal is an element of the first hazard class, it is a global pollutant. Unfortunately, the published data on mercury in the bottom sediments of Arctic lakes are much less than for other heavy metals. To some extent, this is due to analytical problems in determining low mercury levels.
The aim of the research is to assess the dynamics of sedimentation of mercury and identify a possible anthropogenic contribution to the period of industrial activity.
The results of research of mercury distribution in sediments are presented for cores from five Arctic lakes – NARY_1-2 (Malozemelskaya tundra), NARY_2-4 and 9-1 (Lovetsky Island, the mouth of the Pechora River), Langtibejto (Yamal Peninsula) and Gol’tsovoe (Gydan Peninsula). Sedimentation rates were estimated using 210Pb and 137Cs geochronology. Chemical composition, granulometry and loss on ignition were determined layer by layer for all sediment cores.
The layer-by-layer analysis of all cores of bottom sediments showed that the distribution of mercury differs significantly from the distribution of other elements by a significantly stronger enrichment of the surface layers. The nature of this distribution in column NARY1_2 coincides with both the beginning of the industrial period (end of the 19th century) and the beginning of the work of the Norilsk industrial complex.
Enrichment of the surface layer of sediments can be caused not only by transboundary transport of mercury, but also by an increased content of organic matter in the upper horizons of sediments.
The nature of the distribution of mercury along the length of the columns and the distribution over fractions with different particle sizes showed that the finest fraction does not always determine the total concentration in the slice. At the same time, large particles (> 0.2 mm) with a high mercury concentration are present in the columns.
The data obtained show that, unlike other elements, the studied lakes are conditionally background for mercury.
This work was supported by the Russian Science Foundation (project 18-17-00184)
How to cite: Tatsiy, Y.: Bottom Sediments of Arctic Lakes as Indicators of Mercury Biogeochemical Migration, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11718, https://doi.org/10.5194/egusphere-egu2020-11718, 2020.
Studies of dated cores of bottom sediments from Arctic lakes to determine flows and the history of sedimentation of heavy metals have been carried out since the beginning of the 90s. This is largely due to the need to understand the spatial and temporal trends of pollution in the Arctic and the ways of influencing wildlife and people, especially in a changing climate. Arctic lakes are sensitive indicators of global changes in the environment and climate, as well as the effects of regional and transboundary transport of pollutants. Bottom sediments of Arctic lakes that are not subject to direct anthropogenic influences are a kind of paleoclimatic and paleogeochemical archives that contain information about biogeochemical processes on the catchment and in the reservoir itself, informatively reflect environmental changes.
Arctic mercury is of particular interest. Besides the fact that this metal is an element of the first hazard class, it is a global pollutant. Unfortunately, the published data on mercury in the bottom sediments of Arctic lakes are much less than for other heavy metals. To some extent, this is due to analytical problems in determining low mercury levels.
The aim of the research is to assess the dynamics of sedimentation of mercury and identify a possible anthropogenic contribution to the period of industrial activity.
The results of research of mercury distribution in sediments are presented for cores from five Arctic lakes – NARY_1-2 (Malozemelskaya tundra), NARY_2-4 and 9-1 (Lovetsky Island, the mouth of the Pechora River), Langtibejto (Yamal Peninsula) and Gol’tsovoe (Gydan Peninsula). Sedimentation rates were estimated using 210Pb and 137Cs geochronology. Chemical composition, granulometry and loss on ignition were determined layer by layer for all sediment cores.
The layer-by-layer analysis of all cores of bottom sediments showed that the distribution of mercury differs significantly from the distribution of other elements by a significantly stronger enrichment of the surface layers. The nature of this distribution in column NARY1_2 coincides with both the beginning of the industrial period (end of the 19th century) and the beginning of the work of the Norilsk industrial complex.
Enrichment of the surface layer of sediments can be caused not only by transboundary transport of mercury, but also by an increased content of organic matter in the upper horizons of sediments.
The nature of the distribution of mercury along the length of the columns and the distribution over fractions with different particle sizes showed that the finest fraction does not always determine the total concentration in the slice. At the same time, large particles (> 0.2 mm) with a high mercury concentration are present in the columns.
The data obtained show that, unlike other elements, the studied lakes are conditionally background for mercury.
This work was supported by the Russian Science Foundation (project 18-17-00184)
How to cite: Tatsiy, Y.: Bottom Sediments of Arctic Lakes as Indicators of Mercury Biogeochemical Migration, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11718, https://doi.org/10.5194/egusphere-egu2020-11718, 2020.
EGU2020-5634 | Displays | BG2.22
Mercury dynamics from pan-Canadian survey of lakes: analyses of sediment coresIrene Gregory-Eaves, Marieke Beaulieu, Marc Amyot, Katherine Griffiths, and Alexandre Poulain
Strong measures have been taken since the 1970s to reduce mercury emissions in Canada. However, long-range transport of emissions continues and constitutes a large percentage of the total anthropogenic deposition of mercury in Canada. Natural sources of mercury are also heterogeneously distributed across the Canadian landscape. As part of the LakePulse network (www.lakepulse.ca), we are quantifying mercury concentration in hundreds of lake sediment cores across 13 Canadian ecozones. Analyses from eastern Canada lakes showed that total mercury is significantly different among ecozones, and many ecozones showed higher total mercury concentrations in contemporary sediments. Contemporary methyl mercury concentrations also differed among ecozones. Our overarching goals are to map the heterogeneity in mercury concentrations across the country and to identify the most parsimonious set of predictors considering a suite of physico-chemical and land-use variables from lakes and their watersheds set across the temperate to subarctic landscape.
How to cite: Gregory-Eaves, I., Beaulieu, M., Amyot, M., Griffiths, K., and Poulain, A.: Mercury dynamics from pan-Canadian survey of lakes: analyses of sediment cores, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5634, https://doi.org/10.5194/egusphere-egu2020-5634, 2020.
Strong measures have been taken since the 1970s to reduce mercury emissions in Canada. However, long-range transport of emissions continues and constitutes a large percentage of the total anthropogenic deposition of mercury in Canada. Natural sources of mercury are also heterogeneously distributed across the Canadian landscape. As part of the LakePulse network (www.lakepulse.ca), we are quantifying mercury concentration in hundreds of lake sediment cores across 13 Canadian ecozones. Analyses from eastern Canada lakes showed that total mercury is significantly different among ecozones, and many ecozones showed higher total mercury concentrations in contemporary sediments. Contemporary methyl mercury concentrations also differed among ecozones. Our overarching goals are to map the heterogeneity in mercury concentrations across the country and to identify the most parsimonious set of predictors considering a suite of physico-chemical and land-use variables from lakes and their watersheds set across the temperate to subarctic landscape.
How to cite: Gregory-Eaves, I., Beaulieu, M., Amyot, M., Griffiths, K., and Poulain, A.: Mercury dynamics from pan-Canadian survey of lakes: analyses of sediment cores, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5634, https://doi.org/10.5194/egusphere-egu2020-5634, 2020.
EGU2020-7712 | Displays | BG2.22
Spatial variations of mercury in sediments of Aviles Harbour and its implications on dredgingEfrén García Ordiales, Mario Mangas, Lorena Sanz-Prada, Elena Pavoni, Stefano Covelli, Nieves Roqueñí, Jorge Loredo, and Pablo Cienfuegos
Aviles estuary is one of the most impacted estuaries of the north of Spain. In its margins, there are several heavy industries such as steel, zinc and aluminium factories together with other little factories dedicated to secondary metallurgical products. Because of the intense metallurgical activities developed in the area, sediments of the estuary show an important metal load. Among the different heavy metals present in the estuary, Hg in one of the most important due to its toxicity and potential transference to biota. To study the Hg concentrations present in the estuary, 52 scattered samples were collected. Samples were analysed for total Hg, and other parameters such as grain size, organic matter and sulphur have been determined. Total Hg concentration in the estuary sediments ranged between 0.1 to 18.3µg g-1 with an average of 4.3 µg g-1. The particle size of the sediment governed the mercury dispersion in the estuary. In the inner part where silt and clay fraction are predominant, Hg showed the highest values while in areas where sands predominate Hg concentrations decrease. The Hg concentration in a total of 36 samples exceed the probable effect level established by NOAA, which suggest that Hg may be transferred to the biota of the estuary and could be a problem for the health status of the area. On the other hand, concentrations of 26 samples were above the C level of the Spanish dredging regulations, limiting its management to encapsulation in non-vulnerable areas or its management as waste by an authorized manager.
How to cite: García Ordiales, E., Mangas, M., Sanz-Prada, L., Pavoni, E., Covelli, S., Roqueñí, N., Loredo, J., and Cienfuegos, P.: Spatial variations of mercury in sediments of Aviles Harbour and its implications on dredging, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7712, https://doi.org/10.5194/egusphere-egu2020-7712, 2020.
Aviles estuary is one of the most impacted estuaries of the north of Spain. In its margins, there are several heavy industries such as steel, zinc and aluminium factories together with other little factories dedicated to secondary metallurgical products. Because of the intense metallurgical activities developed in the area, sediments of the estuary show an important metal load. Among the different heavy metals present in the estuary, Hg in one of the most important due to its toxicity and potential transference to biota. To study the Hg concentrations present in the estuary, 52 scattered samples were collected. Samples were analysed for total Hg, and other parameters such as grain size, organic matter and sulphur have been determined. Total Hg concentration in the estuary sediments ranged between 0.1 to 18.3µg g-1 with an average of 4.3 µg g-1. The particle size of the sediment governed the mercury dispersion in the estuary. In the inner part where silt and clay fraction are predominant, Hg showed the highest values while in areas where sands predominate Hg concentrations decrease. The Hg concentration in a total of 36 samples exceed the probable effect level established by NOAA, which suggest that Hg may be transferred to the biota of the estuary and could be a problem for the health status of the area. On the other hand, concentrations of 26 samples were above the C level of the Spanish dredging regulations, limiting its management to encapsulation in non-vulnerable areas or its management as waste by an authorized manager.
How to cite: García Ordiales, E., Mangas, M., Sanz-Prada, L., Pavoni, E., Covelli, S., Roqueñí, N., Loredo, J., and Cienfuegos, P.: Spatial variations of mercury in sediments of Aviles Harbour and its implications on dredging, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7712, https://doi.org/10.5194/egusphere-egu2020-7712, 2020.
EGU2020-18549 | Displays | BG2.22
Recycling of mercury pollution in the fluvial system - revitalize or not?Michal Hošek, Tomáš Matys Grygar, Jiří Štojdl, Jitka Elznicová, and Jan Svoboda
The catchments of the Kössein and the Röslau rivers (north-eastern Bavaria, Germany) was impacted by pollution from Chemical Factory Marktredwitz (CFM). The CFM produced Hg compounds for almost 200 years until the severe pollution of the factory surroundings and the Kössein River was revealed in the 1980s. The channel belt of the Kössein-Röslau rivers downstream the CFM is now one of the most severe Hg pollution hotspots in Central Europe. At the present days, more than 30 years after the factory abandonment, the Hg concentrations in fish muscles reach up to 6 mg/kg in the Skalka Reservoir, which acts as a sedimentary trap for that pollution.
The main vector for the actual fluvial recycling of Hg is suspended particulate matter (SPM) formed by the fluvial erosion of the channel belt. In previous work we found out that the Hg inventory in the Kössein-Röslau river system is approximately 20 t Hg deposited in a 22 km long channel belt, mainly as easily thermodesorbed form, perhaps natural organic matter bound Hg (NOM-Hg). Because the Kössein and the Röslau rivers still export SPM with mean concentrations of approximately 20 mg Hg/kg, revitalization options to stop Hg pollution recycling should be considered. We studied the Röslau River floodplain upstream the confluence with the Eger River, situated just upstream the inlet to the Skalka Reservoir. This locality is used for cattle grazing although Hg concentration up to 122 mg/kg can be found in some sediment strata and approximately 45 mg/kg is in topsoils. The locality has been investigated by geophysical methods ERT (electrical resistivity tomography) and DEMP (dipole electromagnetic profiling) to reveal the floodplain subsurface sedimentary architecture, because it is a key to find recent geomorphic traps for the polluted sediment. The floodplain was then sampled after drill coring, Hg analysis was performed by AMA-254 and element analysis by XRF. We found a close correlation between Zn and Hg concentrations, which facilitated the study of the pollution hotspot. We found three facies types of polluted sediments: channel belt (up to 122 mg Hg/kg), fills of shallow flood channels in floodplain (up to 73 mg Hg/kg), and top strata of overbank fines (up to 56 mg Hg/kg). The knowledge on the pollution distribution is essential for the future revitalization and protection measures.
How to cite: Hošek, M., Matys Grygar, T., Štojdl, J., Elznicová, J., and Svoboda, J.: Recycling of mercury pollution in the fluvial system - revitalize or not?, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18549, https://doi.org/10.5194/egusphere-egu2020-18549, 2020.
The catchments of the Kössein and the Röslau rivers (north-eastern Bavaria, Germany) was impacted by pollution from Chemical Factory Marktredwitz (CFM). The CFM produced Hg compounds for almost 200 years until the severe pollution of the factory surroundings and the Kössein River was revealed in the 1980s. The channel belt of the Kössein-Röslau rivers downstream the CFM is now one of the most severe Hg pollution hotspots in Central Europe. At the present days, more than 30 years after the factory abandonment, the Hg concentrations in fish muscles reach up to 6 mg/kg in the Skalka Reservoir, which acts as a sedimentary trap for that pollution.
The main vector for the actual fluvial recycling of Hg is suspended particulate matter (SPM) formed by the fluvial erosion of the channel belt. In previous work we found out that the Hg inventory in the Kössein-Röslau river system is approximately 20 t Hg deposited in a 22 km long channel belt, mainly as easily thermodesorbed form, perhaps natural organic matter bound Hg (NOM-Hg). Because the Kössein and the Röslau rivers still export SPM with mean concentrations of approximately 20 mg Hg/kg, revitalization options to stop Hg pollution recycling should be considered. We studied the Röslau River floodplain upstream the confluence with the Eger River, situated just upstream the inlet to the Skalka Reservoir. This locality is used for cattle grazing although Hg concentration up to 122 mg/kg can be found in some sediment strata and approximately 45 mg/kg is in topsoils. The locality has been investigated by geophysical methods ERT (electrical resistivity tomography) and DEMP (dipole electromagnetic profiling) to reveal the floodplain subsurface sedimentary architecture, because it is a key to find recent geomorphic traps for the polluted sediment. The floodplain was then sampled after drill coring, Hg analysis was performed by AMA-254 and element analysis by XRF. We found a close correlation between Zn and Hg concentrations, which facilitated the study of the pollution hotspot. We found three facies types of polluted sediments: channel belt (up to 122 mg Hg/kg), fills of shallow flood channels in floodplain (up to 73 mg Hg/kg), and top strata of overbank fines (up to 56 mg Hg/kg). The knowledge on the pollution distribution is essential for the future revitalization and protection measures.
How to cite: Hošek, M., Matys Grygar, T., Štojdl, J., Elznicová, J., and Svoboda, J.: Recycling of mercury pollution in the fluvial system - revitalize or not?, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18549, https://doi.org/10.5194/egusphere-egu2020-18549, 2020.
EGU2020-9735 | Displays | BG2.22
Mercury contamination in German rivers: Historical trends and current situationJan G. Wiederhold, Harald Biester, Anna-Lena Gerloff, Jens Hahn, and Lars Duester
Mercury (Hg) is a priority pollutant in aquatic ecosystems. In Germany, the chemical status of all large rivers is classified as “not good” due to the exceedance of at least one environmental quality standard (EQS) of the EU Water Framework Directive [1], mostly due to the failure to meet the EQS for Hg in fish of 20 μg kg-1. Mercury has been introduced to rivers in Germany for more than a century from a variety of anthropogenic sources (e.g., industrial effluents, waste water treatment plants). Transport of Hg in river water occurs dominantly associated with suspended particulate matter, while dissolved Hg concentrations are low. Direct Hg releases to surface waters have been greatly reduced over the last decades and today inputs are dominated by diffuse sources (e.g., atmospheric deposition, soil erosion) and the remobilization of Hg previously deposited in bottom sediments. A key factor in controlling the remobilization and transfer of legacy Hg from sediments to water and ultimately into biota is the chemical form in which Hg is present in sediments and suspended particulate matter.
Here, we present (i) historical trends of Hg concentrations in suspended particulate matter in German rivers (e.g., Rhine, Elbe) over several decades compiled from public databases [2] and (ii) first results of a study aiming to characterize the chemical form of Hg in recently collected suspended particulate matter and contaminated sediment samples from German rivers using pyrolytic thermodesorption analysis [3]. The Hg release curves of samples during continuous heating up to 650°C were compared with those of reference compounds. Total Hg concentrations were determined by a direct Hg analyzer (Nippon MA-3000).
The historical records reveal that Hg concentrations in suspended particulate matter have decreased in the large German rivers from the beginning of the 1990s until today. For example, while yearly average values of 500-800 μg kg-1 Hg were still common in the lower reaches of the Rhine river in the early 1990s, most values in the last five years have been below 300 μg kg-1 Hg. However, the Elbe river, one of the most polluted rivers in Germany, still exhibits Hg values above 1000 μg kg-1 in some areas, despite a decreasing trend from even higher historical values. First results from pyrolytic thermodesorption analyses reveal that Hg in suspended particulate matter from Rhine and Elbe is released at temperatures around 300°C, suggesting a dominance of organically-bound and/or sulfide-bound Hg(II) species. Interestingly, a shift to lower Hg release temperatures was observed after aging of wet sample material and for freeze-dried compared with wet sediments, highlighting the importance of sample preparation and the dynamic nature of Hg binding forms in natural samples.
[1] European Environment Agency (2018) European waters - Assessment of status and pressures 2018.
[2] e.g., http://undine.bafg.de, http://fgg-rhein.bafg.de, https://www.umweltprobenbank.de
[3] Biester H., Scholz C. (1997) Determination of mercury binding forms in contaminated soils: Mercury pyrolysis versus sequential extractions. Environ. Sci. Technol. 31, 233-239.
How to cite: Wiederhold, J. G., Biester, H., Gerloff, A.-L., Hahn, J., and Duester, L.: Mercury contamination in German rivers: Historical trends and current situation, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9735, https://doi.org/10.5194/egusphere-egu2020-9735, 2020.
Mercury (Hg) is a priority pollutant in aquatic ecosystems. In Germany, the chemical status of all large rivers is classified as “not good” due to the exceedance of at least one environmental quality standard (EQS) of the EU Water Framework Directive [1], mostly due to the failure to meet the EQS for Hg in fish of 20 μg kg-1. Mercury has been introduced to rivers in Germany for more than a century from a variety of anthropogenic sources (e.g., industrial effluents, waste water treatment plants). Transport of Hg in river water occurs dominantly associated with suspended particulate matter, while dissolved Hg concentrations are low. Direct Hg releases to surface waters have been greatly reduced over the last decades and today inputs are dominated by diffuse sources (e.g., atmospheric deposition, soil erosion) and the remobilization of Hg previously deposited in bottom sediments. A key factor in controlling the remobilization and transfer of legacy Hg from sediments to water and ultimately into biota is the chemical form in which Hg is present in sediments and suspended particulate matter.
Here, we present (i) historical trends of Hg concentrations in suspended particulate matter in German rivers (e.g., Rhine, Elbe) over several decades compiled from public databases [2] and (ii) first results of a study aiming to characterize the chemical form of Hg in recently collected suspended particulate matter and contaminated sediment samples from German rivers using pyrolytic thermodesorption analysis [3]. The Hg release curves of samples during continuous heating up to 650°C were compared with those of reference compounds. Total Hg concentrations were determined by a direct Hg analyzer (Nippon MA-3000).
The historical records reveal that Hg concentrations in suspended particulate matter have decreased in the large German rivers from the beginning of the 1990s until today. For example, while yearly average values of 500-800 μg kg-1 Hg were still common in the lower reaches of the Rhine river in the early 1990s, most values in the last five years have been below 300 μg kg-1 Hg. However, the Elbe river, one of the most polluted rivers in Germany, still exhibits Hg values above 1000 μg kg-1 in some areas, despite a decreasing trend from even higher historical values. First results from pyrolytic thermodesorption analyses reveal that Hg in suspended particulate matter from Rhine and Elbe is released at temperatures around 300°C, suggesting a dominance of organically-bound and/or sulfide-bound Hg(II) species. Interestingly, a shift to lower Hg release temperatures was observed after aging of wet sample material and for freeze-dried compared with wet sediments, highlighting the importance of sample preparation and the dynamic nature of Hg binding forms in natural samples.
[1] European Environment Agency (2018) European waters - Assessment of status and pressures 2018.
[2] e.g., http://undine.bafg.de, http://fgg-rhein.bafg.de, https://www.umweltprobenbank.de
[3] Biester H., Scholz C. (1997) Determination of mercury binding forms in contaminated soils: Mercury pyrolysis versus sequential extractions. Environ. Sci. Technol. 31, 233-239.
How to cite: Wiederhold, J. G., Biester, H., Gerloff, A.-L., Hahn, J., and Duester, L.: Mercury contamination in German rivers: Historical trends and current situation, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9735, https://doi.org/10.5194/egusphere-egu2020-9735, 2020.
EGU2020-10564 | Displays | BG2.22
Mercury concentrations, redox state, and isotope ratios in consecutive water extracts of Hg(II)-chloride contaminated soilsAlina Kleindienst, Lorenz Schwab, David McLagan, Stephan M. Krämer, Harald Biester, and Jan G. Wiederhold
Mercury (Hg) leaching from contaminated soils into groundwater or surface waters represents a serious environmental problem at industrial legacy sites, whereby Hg mobility strongly depends on its chemical form. For example, the water solubility of potentially relevant Hg compounds ranges over several orders of magnitude (HgCl2>HgO>Hg2Cl2>Hg(0)>>HgS). Water leaching experiments may provide important information on Hg mobility and help assess its fate at contaminated sites. However, single extraction steps are often not sufficient to extract the entire water-soluble Hg pool. Performing multiple consecutive water extracts on the same sample allows investigating the relative importance of kinetic and thermodynamic controls on Hg mobilization. Moreover, differences between the Hg isotope composition of water extracts and the bulk soil may offer novel insights into the transformation dynamics of Hg species as well as the evolution of Hg isotope signatures at contaminated sites [1].
Here, we present results of consecutive water extractions performed on three soil samples and one artificially-contaminated aquifer material from former industrial sites in Germany contaminated with highly soluble HgCl2 using three extraction solutions (oxygenated water, oxygen-depleted water, 2 mM CaCl2). Batch extractions were conducted with up to nine consecutive steps over timescales of up to three months. Aliquots of selected extracts were purged with argon to remove Hg(0) and to quantify the Hg(0)/Hg(II) ratio by comparison with unpurged extracts. Hg concentrations were measured by CV-AAS/AFS and Hg isotope ratios were determined using CV-MC-ICP-MS. Pyrolytic thermodesorption analysis was used on selected samples to investigate changes in the solid phase speciation.
Total Hg concentrations in extracts decreased after the first step (range: 17 to 1270 μg L−1) but remained surprisingly high until the ninth step (range: 3 to 263 μg L−1) illustrating continuous slow Hg release from the contaminated soils in contact with water. The fraction of total soil Hg mobilized at the end of the experiments ranged from 5.6% to 30%. The extracts exhibited large δ202Hg variations from –0.75‰ to +0.94‰ relative to bulk soil indicating preferential mobilization of either light or heavy Hg isotopes for different samples and extraction conditions. Lower Hg concentrations in the purged extracts provided evidence for the presence of Hg(0) approaching its solubility in some extracts, particularly under oxygen-depleted conditions with up to 85% of total dissolved Hg, which is produced by reduction from Hg(II) in our HgCl2-contaminated samples. The isotopic mass balance between purged and unpurged extracts revealed an important control of the Hg(0)/Hg(II) ratio on δ202Hg extract values of some samples with Hg(0) being about 2‰ lighter than Hg(II), consistent with theoretical predictions for equilibrium isotope fractionation. Our results demonstrate that consecutive water extracts can leach large amounts of Hg from contaminated soils accompanied by significant Hg isotope fractionation during the mobilization from solid to solution phase, which is at least partly controlled by equilibrium isotope effects between Hg redox states in solution.
[1] Brocza FM, Biester H, Richard J-H, Kraemer SM, Wiederhold, JG (2019) Mercury isotope fractionation in the subsurface of a Hg(II) chloride-contaminated industrial legacy site. Environ. Sci. Technol. 53, 7296-7305.
How to cite: Kleindienst, A., Schwab, L., McLagan, D., Krämer, S. M., Biester, H., and Wiederhold, J. G.: Mercury concentrations, redox state, and isotope ratios in consecutive water extracts of Hg(II)-chloride contaminated soils, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10564, https://doi.org/10.5194/egusphere-egu2020-10564, 2020.
Mercury (Hg) leaching from contaminated soils into groundwater or surface waters represents a serious environmental problem at industrial legacy sites, whereby Hg mobility strongly depends on its chemical form. For example, the water solubility of potentially relevant Hg compounds ranges over several orders of magnitude (HgCl2>HgO>Hg2Cl2>Hg(0)>>HgS). Water leaching experiments may provide important information on Hg mobility and help assess its fate at contaminated sites. However, single extraction steps are often not sufficient to extract the entire water-soluble Hg pool. Performing multiple consecutive water extracts on the same sample allows investigating the relative importance of kinetic and thermodynamic controls on Hg mobilization. Moreover, differences between the Hg isotope composition of water extracts and the bulk soil may offer novel insights into the transformation dynamics of Hg species as well as the evolution of Hg isotope signatures at contaminated sites [1].
Here, we present results of consecutive water extractions performed on three soil samples and one artificially-contaminated aquifer material from former industrial sites in Germany contaminated with highly soluble HgCl2 using three extraction solutions (oxygenated water, oxygen-depleted water, 2 mM CaCl2). Batch extractions were conducted with up to nine consecutive steps over timescales of up to three months. Aliquots of selected extracts were purged with argon to remove Hg(0) and to quantify the Hg(0)/Hg(II) ratio by comparison with unpurged extracts. Hg concentrations were measured by CV-AAS/AFS and Hg isotope ratios were determined using CV-MC-ICP-MS. Pyrolytic thermodesorption analysis was used on selected samples to investigate changes in the solid phase speciation.
Total Hg concentrations in extracts decreased after the first step (range: 17 to 1270 μg L−1) but remained surprisingly high until the ninth step (range: 3 to 263 μg L−1) illustrating continuous slow Hg release from the contaminated soils in contact with water. The fraction of total soil Hg mobilized at the end of the experiments ranged from 5.6% to 30%. The extracts exhibited large δ202Hg variations from –0.75‰ to +0.94‰ relative to bulk soil indicating preferential mobilization of either light or heavy Hg isotopes for different samples and extraction conditions. Lower Hg concentrations in the purged extracts provided evidence for the presence of Hg(0) approaching its solubility in some extracts, particularly under oxygen-depleted conditions with up to 85% of total dissolved Hg, which is produced by reduction from Hg(II) in our HgCl2-contaminated samples. The isotopic mass balance between purged and unpurged extracts revealed an important control of the Hg(0)/Hg(II) ratio on δ202Hg extract values of some samples with Hg(0) being about 2‰ lighter than Hg(II), consistent with theoretical predictions for equilibrium isotope fractionation. Our results demonstrate that consecutive water extracts can leach large amounts of Hg from contaminated soils accompanied by significant Hg isotope fractionation during the mobilization from solid to solution phase, which is at least partly controlled by equilibrium isotope effects between Hg redox states in solution.
[1] Brocza FM, Biester H, Richard J-H, Kraemer SM, Wiederhold, JG (2019) Mercury isotope fractionation in the subsurface of a Hg(II) chloride-contaminated industrial legacy site. Environ. Sci. Technol. 53, 7296-7305.
How to cite: Kleindienst, A., Schwab, L., McLagan, D., Krämer, S. M., Biester, H., and Wiederhold, J. G.: Mercury concentrations, redox state, and isotope ratios in consecutive water extracts of Hg(II)-chloride contaminated soils, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10564, https://doi.org/10.5194/egusphere-egu2020-10564, 2020.
EGU2020-16024 | Displays | BG2.22
Mercury isotope fractionation during dark abiotic reduction of Hg(II) by dissolved and surface-bound Fe(II) speciesLorenz Schwab, David S. McLagan, Stephan M. Kraemer, Harald Biester, and Jan G. Wiederhold
For many metals, including mercury (Hg), the transformation between different redox states is an important process for stable isotope fractionation. Identifying fractionation factors for specific Hg redox transformations therefore enables stable Hg isotope techniques to be used as a tool to trace biogeochemical processes and improve our understanding of the transport and fate of Hg in the environment. Previous studies demonstrated that reduced iron (Fe) species and Fe(II)-bearing minerals such as magnetite, green rust, siderite or vivianite are capable of reducing Hg(II) to Hg(I) and Hg(0). These processes may be important in environments with low organic matter concentration and changing redox conditions such as groundwater aquifers or temporarily flooded soils.
In this study homogeneous and heterogeneous redox reactions of Hg(II) with dissolved Fe(II) and Fe(II)-bearing minerals are investigated in batch experiments under oxygen-free conditions in a glove bag. Mercury stock solutions prepared from NIST-3133 in a glass batch reactor are continuously stirred to minimize local reducing zones and wrapped in aluminum foil to prevent photoreduction. The reducing agents are added stepwise to reduce fractions of Hg until complete reduction is achieved. The produced Hg(0) is continuously purged into an oxidizing trap solution (40% inverse aqua regia with BrCl) with nitrogen gas at a low flow rate. After each reduction step solution aliquots are taken from the reactor and the trap is exchanged. Total Hg concentrations in reactor and trap samples are then measured with CV-AAS/AFS and isotopic compositions determined with CV-MC-ICP-MS.
Initially, different amounts of SnCl2 were used as reducing agent to test the experimental setup similar to [1]. For this experiment we observed consistent isotopic trends which could be described by a Rayleigh model fit with mass dependent fractionation (ε202Hg = -2.75 ± 0.07‰) as well as mass independent fractionation of odd-mass Hg isotopes (Ε199Hg = 0.32 ± 0.04‰). The slope of the linear regression of Δ199Hg/Δ201Hg of 1.52 ± 0.1 indicates that the MIF was likely caused by the nuclear volume effect. In subsequent experiments different amounts of a Fe(II) stock solution prepared from Fe(II)Cl2 are used as reducing agent. Additionally, experiments are carried out with Fe(II)-bearing minerals and Fe(II) adsorbed to mineral surfaces.
The results produced from this study will be very useful for the interpretation of field data from temporarily anoxic groundwater bodies at contaminated sites (e.g. [2]). The insights from the experiments will further contribute to the understanding of the interplay between Hg and Fe biogeochemical cycles and redox transformations. Most importantly, it will add much needed fractionation factors to the toolbox of Hg stable isotope fractionation as a tracer for biogeochemical transformations.
[1] Zheng, W., Hintelmann, H. (2010) Nuclear field shift effect in isotope fractionation of mercury during abiotic reduction in the absence of light. J. Phys. Chem. A, 114(12), 4238–4245.
[2] Richard, J.-H., Bischoff, C., Ahrens, C.G.M., Biester, H. (2016) Mercury(II) reduction and co-precipitation of metallic mercury on hydrous ferric oxide in contaminated groundwater. Sci. Tot. Environ. 539, 36–44.
How to cite: Schwab, L., McLagan, D. S., Kraemer, S. M., Biester, H., and Wiederhold, J. G.: Mercury isotope fractionation during dark abiotic reduction of Hg(II) by dissolved and surface-bound Fe(II) species, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-16024, https://doi.org/10.5194/egusphere-egu2020-16024, 2020.
For many metals, including mercury (Hg), the transformation between different redox states is an important process for stable isotope fractionation. Identifying fractionation factors for specific Hg redox transformations therefore enables stable Hg isotope techniques to be used as a tool to trace biogeochemical processes and improve our understanding of the transport and fate of Hg in the environment. Previous studies demonstrated that reduced iron (Fe) species and Fe(II)-bearing minerals such as magnetite, green rust, siderite or vivianite are capable of reducing Hg(II) to Hg(I) and Hg(0). These processes may be important in environments with low organic matter concentration and changing redox conditions such as groundwater aquifers or temporarily flooded soils.
In this study homogeneous and heterogeneous redox reactions of Hg(II) with dissolved Fe(II) and Fe(II)-bearing minerals are investigated in batch experiments under oxygen-free conditions in a glove bag. Mercury stock solutions prepared from NIST-3133 in a glass batch reactor are continuously stirred to minimize local reducing zones and wrapped in aluminum foil to prevent photoreduction. The reducing agents are added stepwise to reduce fractions of Hg until complete reduction is achieved. The produced Hg(0) is continuously purged into an oxidizing trap solution (40% inverse aqua regia with BrCl) with nitrogen gas at a low flow rate. After each reduction step solution aliquots are taken from the reactor and the trap is exchanged. Total Hg concentrations in reactor and trap samples are then measured with CV-AAS/AFS and isotopic compositions determined with CV-MC-ICP-MS.
Initially, different amounts of SnCl2 were used as reducing agent to test the experimental setup similar to [1]. For this experiment we observed consistent isotopic trends which could be described by a Rayleigh model fit with mass dependent fractionation (ε202Hg = -2.75 ± 0.07‰) as well as mass independent fractionation of odd-mass Hg isotopes (Ε199Hg = 0.32 ± 0.04‰). The slope of the linear regression of Δ199Hg/Δ201Hg of 1.52 ± 0.1 indicates that the MIF was likely caused by the nuclear volume effect. In subsequent experiments different amounts of a Fe(II) stock solution prepared from Fe(II)Cl2 are used as reducing agent. Additionally, experiments are carried out with Fe(II)-bearing minerals and Fe(II) adsorbed to mineral surfaces.
The results produced from this study will be very useful for the interpretation of field data from temporarily anoxic groundwater bodies at contaminated sites (e.g. [2]). The insights from the experiments will further contribute to the understanding of the interplay between Hg and Fe biogeochemical cycles and redox transformations. Most importantly, it will add much needed fractionation factors to the toolbox of Hg stable isotope fractionation as a tracer for biogeochemical transformations.
[1] Zheng, W., Hintelmann, H. (2010) Nuclear field shift effect in isotope fractionation of mercury during abiotic reduction in the absence of light. J. Phys. Chem. A, 114(12), 4238–4245.
[2] Richard, J.-H., Bischoff, C., Ahrens, C.G.M., Biester, H. (2016) Mercury(II) reduction and co-precipitation of metallic mercury on hydrous ferric oxide in contaminated groundwater. Sci. Tot. Environ. 539, 36–44.
How to cite: Schwab, L., McLagan, D. S., Kraemer, S. M., Biester, H., and Wiederhold, J. G.: Mercury isotope fractionation during dark abiotic reduction of Hg(II) by dissolved and surface-bound Fe(II) species, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-16024, https://doi.org/10.5194/egusphere-egu2020-16024, 2020.
EGU2020-18225 | Displays | BG2.22
Long-term incubations experiments: Insights about demethylation and role of methylmercury refractory poolsCarluvy Baptista-Salazar, Van Liem-Nguyen, and Sofi Jonsson
Methylation and demethylation of mercury (Hg) control the concentrations of monomethylmercury (MeHg) in natural environments, and thus the pool of Hg available for biological uptake and food web biomagnification. Typically, Hg methylation and demethylation are studied in short-term incubation experiments (< 24 h) using isotopically enriched Hg tracers. This approach has been successfully used to e.g. identify environmental hotspots of both of these processes. However, as the tracers are typically added as dissolved Hg complexes, while most ambient inorganic Hg and MeHg in e.g. sediments and soils are adsorbed onto particles, rates are recognised to not reflect true methylation and demethylation rates of ambient Hg. The traditional approach also overlooks the potential existence of refractory MeHg pools, i.e. pools of MeHg not readily available for demethylation. Previous work has, however, indicated the potential role of refractory MeHg concentrations. Jonsson et al. (Nature Com., 2014), for example, suggest up to 70% of the MeHg pool in a brackish sediment system to be in a refractory form. The occurrence of this fraction is also suggested as a key factor mediating MeHg availability in sediments by DiPasquale et al. (Environ. Sci. Technol., 2000).
We have conducted long-term incubation experiments aiming to quantify refractory MeHg pools. In short, isotopically enriched Hg tracers (Me201Hg and 198Hg, pre-equilibrated with natural waters) were incubated with lake, marsh and brackish sea water sediments and forest soils at a temperature of 10 °C for up to 6 weeks. These samples represent contrasting environments with initial MeHg concentrations ranging from 0.01 to 3.9 ng g-1 dry weight, and MeHg:Hg ratios of 0.01 to 31%. To quantify refractory pools of MeHg, we will compare steady state concentrations of MeHg:Hg ratios for added MeHg tracer with the MeHg:Hg ratio of ambient Hg. In this presentation, we will discuss the results from this study, as well as the role of refractory MeHg pools.
How to cite: Baptista-Salazar, C., Liem-Nguyen, V., and Jonsson, S.: Long-term incubations experiments: Insights about demethylation and role of methylmercury refractory pools , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18225, https://doi.org/10.5194/egusphere-egu2020-18225, 2020.
Methylation and demethylation of mercury (Hg) control the concentrations of monomethylmercury (MeHg) in natural environments, and thus the pool of Hg available for biological uptake and food web biomagnification. Typically, Hg methylation and demethylation are studied in short-term incubation experiments (< 24 h) using isotopically enriched Hg tracers. This approach has been successfully used to e.g. identify environmental hotspots of both of these processes. However, as the tracers are typically added as dissolved Hg complexes, while most ambient inorganic Hg and MeHg in e.g. sediments and soils are adsorbed onto particles, rates are recognised to not reflect true methylation and demethylation rates of ambient Hg. The traditional approach also overlooks the potential existence of refractory MeHg pools, i.e. pools of MeHg not readily available for demethylation. Previous work has, however, indicated the potential role of refractory MeHg concentrations. Jonsson et al. (Nature Com., 2014), for example, suggest up to 70% of the MeHg pool in a brackish sediment system to be in a refractory form. The occurrence of this fraction is also suggested as a key factor mediating MeHg availability in sediments by DiPasquale et al. (Environ. Sci. Technol., 2000).
We have conducted long-term incubation experiments aiming to quantify refractory MeHg pools. In short, isotopically enriched Hg tracers (Me201Hg and 198Hg, pre-equilibrated with natural waters) were incubated with lake, marsh and brackish sea water sediments and forest soils at a temperature of 10 °C for up to 6 weeks. These samples represent contrasting environments with initial MeHg concentrations ranging from 0.01 to 3.9 ng g-1 dry weight, and MeHg:Hg ratios of 0.01 to 31%. To quantify refractory pools of MeHg, we will compare steady state concentrations of MeHg:Hg ratios for added MeHg tracer with the MeHg:Hg ratio of ambient Hg. In this presentation, we will discuss the results from this study, as well as the role of refractory MeHg pools.
How to cite: Baptista-Salazar, C., Liem-Nguyen, V., and Jonsson, S.: Long-term incubations experiments: Insights about demethylation and role of methylmercury refractory pools , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18225, https://doi.org/10.5194/egusphere-egu2020-18225, 2020.
EGU2020-18587 | Displays | BG2.22
Mercury and other potentially toxic elements in the Sierra Gorda (Queretaro area, Mexico): affection to enzymatic activity in soils.Pablo Higueras, Karen Arroyo, JuanAntonio Campos, Jesus Peco, JoseMaria Esbrí, and Gilberto Hernández
Cinnabar mining, to obtain mercury, is still an important activity for the residents of the Sierra Gorda in Mexico, so this activity is currently source of mercury emission and possibly of other potentially toxic elements (PTE). In this work, seven study sites, located in areas with presence of exploitations of active or decommissioned mercury mines, have been studies with the aim of characterizing its occurrence and their effects on soil health.
Biogeochemical analyses have been carried out with the purpose of identifying the key factors related with nutritional and toxicological status of these soils, looking for possible relationships between mercury, PTEs and their impact on the enzymatic activity of the soil.
The values obtained for total mercury ranged from 5 to 159 ppm; comparing these values with those from an uncontaminated area, we observe that all zones are above reference range (0.01 to 0.03 mg/kg) and that four of them exceed the maximum permissible limits (23 mg/kg), according to Mexican regulations. Other measured PTE elements were Pb, with a range between 18.7 to 814.1 mg/kg; Cu between 45.4 to 94.2 mg/kg; Zn between 145.1 to 555.8 mg/kg; As between 30.5 to 1590 mg/kg; and Sb between 18.3 to 169.6 mg/kg. Comparing with other areas, anomalous concentrations of trace elements in soils with the following values are considered: Pb up to 10,000 mg/kg, Cu up to 2,000 mg/kg, Zn up to 10,000 mg/kg and As up to 2500 mg/kg; none of the determined elements exceeds these reference values. In the case of enzymatic activities, a range between 111.36 and 332.38 µgTPF g-1day-1 was obtained with dehydrogenase. These values are slightly higher compared to other Hg contaminated soils (110 µgTPF g-1day-1) described by this team. For the acid phosphatase, a range between 516.72 to 1606.34 µgPNF g-1h-1; and for alkaline phosphatase a range between 1624.92 to 4070.82 µgPNF g-1h-1. These values correspond to those measured in Sokolov, Czech Republic, ranging from 381 to 1510 µgPNF g-1h-1 for acid phosphatase and 455 to 4820 µgPNF g-1h-1 for alkaline phosphatase measured in topsoil layer from spoil heaps after brown coal mining.
Our results show that the soil has contents of PTE elements indicating low pollution degree, except for Hg, registering concentrations above the maximum permissible limits for non-industrial soils; however, the results of the enzymatic activity reflect a "good" activity. Therefore, the incidence of the presence of these metals in the soil health, as measured through enzymatic activity, does not have a significant impact and the studied soils can be considered as suitable for commercial, residential or agricultural uses.
How to cite: Higueras, P., Arroyo, K., Campos, J., Peco, J., Esbrí, J., and Hernández, G.: Mercury and other potentially toxic elements in the Sierra Gorda (Queretaro area, Mexico): affection to enzymatic activity in soils. , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18587, https://doi.org/10.5194/egusphere-egu2020-18587, 2020.
Cinnabar mining, to obtain mercury, is still an important activity for the residents of the Sierra Gorda in Mexico, so this activity is currently source of mercury emission and possibly of other potentially toxic elements (PTE). In this work, seven study sites, located in areas with presence of exploitations of active or decommissioned mercury mines, have been studies with the aim of characterizing its occurrence and their effects on soil health.
Biogeochemical analyses have been carried out with the purpose of identifying the key factors related with nutritional and toxicological status of these soils, looking for possible relationships between mercury, PTEs and their impact on the enzymatic activity of the soil.
The values obtained for total mercury ranged from 5 to 159 ppm; comparing these values with those from an uncontaminated area, we observe that all zones are above reference range (0.01 to 0.03 mg/kg) and that four of them exceed the maximum permissible limits (23 mg/kg), according to Mexican regulations. Other measured PTE elements were Pb, with a range between 18.7 to 814.1 mg/kg; Cu between 45.4 to 94.2 mg/kg; Zn between 145.1 to 555.8 mg/kg; As between 30.5 to 1590 mg/kg; and Sb between 18.3 to 169.6 mg/kg. Comparing with other areas, anomalous concentrations of trace elements in soils with the following values are considered: Pb up to 10,000 mg/kg, Cu up to 2,000 mg/kg, Zn up to 10,000 mg/kg and As up to 2500 mg/kg; none of the determined elements exceeds these reference values. In the case of enzymatic activities, a range between 111.36 and 332.38 µgTPF g-1day-1 was obtained with dehydrogenase. These values are slightly higher compared to other Hg contaminated soils (110 µgTPF g-1day-1) described by this team. For the acid phosphatase, a range between 516.72 to 1606.34 µgPNF g-1h-1; and for alkaline phosphatase a range between 1624.92 to 4070.82 µgPNF g-1h-1. These values correspond to those measured in Sokolov, Czech Republic, ranging from 381 to 1510 µgPNF g-1h-1 for acid phosphatase and 455 to 4820 µgPNF g-1h-1 for alkaline phosphatase measured in topsoil layer from spoil heaps after brown coal mining.
Our results show that the soil has contents of PTE elements indicating low pollution degree, except for Hg, registering concentrations above the maximum permissible limits for non-industrial soils; however, the results of the enzymatic activity reflect a "good" activity. Therefore, the incidence of the presence of these metals in the soil health, as measured through enzymatic activity, does not have a significant impact and the studied soils can be considered as suitable for commercial, residential or agricultural uses.
How to cite: Higueras, P., Arroyo, K., Campos, J., Peco, J., Esbrí, J., and Hernández, G.: Mercury and other potentially toxic elements in the Sierra Gorda (Queretaro area, Mexico): affection to enzymatic activity in soils. , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18587, https://doi.org/10.5194/egusphere-egu2020-18587, 2020.
EGU2020-19583 | Displays | BG2.22
Myco-phytoremediation of mercury polluted soils in Ghana and Burkina FasoSergey Blagodatsky, Miriam Ehret, Frank Rasche, Imke Hutter, Regina Birner, Beloved Dzomeku, Oble Neya, Georg Cadisch, and Jens Wünsche
Unregulated surface gold mining contributes to deforestation and land degradation in Ghana and Burkina Faso (West Africa). In addition, small-scale gold mining uses a technology for gold amalgamation that pollutes the environment with mercury (Hg) and adversely affects human health. In the framework of the recently started Mercury-AMF-project we aim to reduce the environmental damage caused by mercury used in gold mining in Ghana and Burkina Faso. This will be achieved by developing and implementing novel arbuscular mycorrhizal fungi (AMF) - plant systems as a strategy to reclaim mercury-contaminated sites. The cultivation of pioneer plants on contaminated soils can reduce the mercury pollution. Symbiotic mycorrhizal associations of those plants may strengthen the potential to remediate Hg-contaminated soils.
The implementation of the project is based on the following specific activities:
- Characterization of the arbuscular mycorrhizal fungus (AMF) candidates in the soils of Ghana and Burkina Faso;
- Development of prototype AMF plant systems as an innovative strategy for the remediation of Hg-contaminated sites;
- Testing of mycophytoextraction methods to reduce the Hg soil concentration below threshold values;
- Examination of the return of Hg-contaminated sites to agricultural use and the promotion of sustainable land management in gold mining regions;
- Set-up of modelling approaches for the efficiency of mycophytoextraction methods and Hg plant uptake;
- Exploration and communication of institutional and socio-economic framework conditions for the introduction of AMF plant systems.
During the first year of the project soil and plant sampling campaigns in Ghana and Burkina Faso were organised for screening the AMF-candidates capable for symbiosis with local plant species and tolerant to the mercury pollution. Clarification of possible mechanisms of phytoremediation is the next essential component of the research: several pathways of decontamination are possible including phytostabilization, phytovolatilization and phytoextraction. Based on the first results, field experimental trials with new AMF-plant systems will be established.
How to cite: Blagodatsky, S., Ehret, M., Rasche, F., Hutter, I., Birner, R., Dzomeku, B., Neya, O., Cadisch, G., and Wünsche, J.: Myco-phytoremediation of mercury polluted soils in Ghana and Burkina Faso, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19583, https://doi.org/10.5194/egusphere-egu2020-19583, 2020.
Unregulated surface gold mining contributes to deforestation and land degradation in Ghana and Burkina Faso (West Africa). In addition, small-scale gold mining uses a technology for gold amalgamation that pollutes the environment with mercury (Hg) and adversely affects human health. In the framework of the recently started Mercury-AMF-project we aim to reduce the environmental damage caused by mercury used in gold mining in Ghana and Burkina Faso. This will be achieved by developing and implementing novel arbuscular mycorrhizal fungi (AMF) - plant systems as a strategy to reclaim mercury-contaminated sites. The cultivation of pioneer plants on contaminated soils can reduce the mercury pollution. Symbiotic mycorrhizal associations of those plants may strengthen the potential to remediate Hg-contaminated soils.
The implementation of the project is based on the following specific activities:
- Characterization of the arbuscular mycorrhizal fungus (AMF) candidates in the soils of Ghana and Burkina Faso;
- Development of prototype AMF plant systems as an innovative strategy for the remediation of Hg-contaminated sites;
- Testing of mycophytoextraction methods to reduce the Hg soil concentration below threshold values;
- Examination of the return of Hg-contaminated sites to agricultural use and the promotion of sustainable land management in gold mining regions;
- Set-up of modelling approaches for the efficiency of mycophytoextraction methods and Hg plant uptake;
- Exploration and communication of institutional and socio-economic framework conditions for the introduction of AMF plant systems.
During the first year of the project soil and plant sampling campaigns in Ghana and Burkina Faso were organised for screening the AMF-candidates capable for symbiosis with local plant species and tolerant to the mercury pollution. Clarification of possible mechanisms of phytoremediation is the next essential component of the research: several pathways of decontamination are possible including phytostabilization, phytovolatilization and phytoextraction. Based on the first results, field experimental trials with new AMF-plant systems will be established.
How to cite: Blagodatsky, S., Ehret, M., Rasche, F., Hutter, I., Birner, R., Dzomeku, B., Neya, O., Cadisch, G., and Wünsche, J.: Myco-phytoremediation of mercury polluted soils in Ghana and Burkina Faso, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19583, https://doi.org/10.5194/egusphere-egu2020-19583, 2020.
EGU2020-5488 | Displays | BG2.22
Mercury occurrence in shungite and coalNikolay Mashyanov, Sergey Pogarev, Vladimir Ryzhov, and Elena Panova
Shungite is a mineraloid consisting of up to 99 % of carbon. The first deposit was found near Shunga village (Karelia, Russia) within the Paleoproterozoic host rocks. Karelian shungites represent the greatest accumulations of carbon with reserves of up to one billion ton. Shungite matter is considered as a specific allotrope of carbon having complex globular supramolecular structure with the globules size of 5-10 nm and including 0.0001 – 0.001 % of natural fullerenes. There are two opposite opinions on the shungite origin: the deep metamorphism of the organic-rich sedimentary rocks and the pyrolysis of the mantle methane jets. In its properties, shungite occupies an intermediate position between anthracite and graphite. Mercury in coals is quite fairly studied: according to hundreds thousand analyses, the average mercury content varies in a range from ppb to few hundred ppm with a world average of 100 ppb. In contrast to coal, so far almost no data on mercury in shungites are available.
Zeeman AAS was used for determination of the total mercury concentration in shungites from Karelian shungite deposits. Surprisingly high concentration up to 12,000 ppb with an average of 2200 and median of 1100 ppb was found in all samples. That is much higher than world average value and even three times higher as compared with the mercury concentration in studied coals of the Donetsk basin (450 ppb) located within the mercury belt. The thermoscanning technique revealed a high-temperature form of mercury in shungites releasing at a temperature above 650 OC and comprising 40-45% of the total mercury. That drastically differs from the thermospectra of anthracite with the main portion of mercury being released at a temperature below 480 OC. The loss of mass for anthracite and shungite during heating to 900 OC is practically identical, whereas the loss of mercury from anthracite is much faster. As both substances consist mainly of carbon, the difference in mercury binding energy can be explained by a specific globular structure of the shungite matrix. Additional experiments on the shungite exposure to mercury in the liquid and gaseous phases showed the increased mercury release at a low temperature and no increase in the high temperature species. The occurrence of a significant portion of the uncommon high temperature species suggests that this mercury can be transported with the mantle methane jets and captured inside the stable carbon globules of the shungite.
Preliminary assessment of the mercury resources only for three proven deposits (54 million ton of shungite, Filippov, 2002) gives the value of 55 t Hg. Shungite is widely used in ferrous metallurgy, for water purification, in cosmetology, etc. Shungites have to be considered as a potential source of the mercury emissions in metallurgy. Also, shungite mercury behavior in other industrial, ecological, medical, and cosmetology applications should be studied.
How to cite: Mashyanov, N., Pogarev, S., Ryzhov, V., and Panova, E.: Mercury occurrence in shungite and coal, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5488, https://doi.org/10.5194/egusphere-egu2020-5488, 2020.
Shungite is a mineraloid consisting of up to 99 % of carbon. The first deposit was found near Shunga village (Karelia, Russia) within the Paleoproterozoic host rocks. Karelian shungites represent the greatest accumulations of carbon with reserves of up to one billion ton. Shungite matter is considered as a specific allotrope of carbon having complex globular supramolecular structure with the globules size of 5-10 nm and including 0.0001 – 0.001 % of natural fullerenes. There are two opposite opinions on the shungite origin: the deep metamorphism of the organic-rich sedimentary rocks and the pyrolysis of the mantle methane jets. In its properties, shungite occupies an intermediate position between anthracite and graphite. Mercury in coals is quite fairly studied: according to hundreds thousand analyses, the average mercury content varies in a range from ppb to few hundred ppm with a world average of 100 ppb. In contrast to coal, so far almost no data on mercury in shungites are available.
Zeeman AAS was used for determination of the total mercury concentration in shungites from Karelian shungite deposits. Surprisingly high concentration up to 12,000 ppb with an average of 2200 and median of 1100 ppb was found in all samples. That is much higher than world average value and even three times higher as compared with the mercury concentration in studied coals of the Donetsk basin (450 ppb) located within the mercury belt. The thermoscanning technique revealed a high-temperature form of mercury in shungites releasing at a temperature above 650 OC and comprising 40-45% of the total mercury. That drastically differs from the thermospectra of anthracite with the main portion of mercury being released at a temperature below 480 OC. The loss of mass for anthracite and shungite during heating to 900 OC is practically identical, whereas the loss of mercury from anthracite is much faster. As both substances consist mainly of carbon, the difference in mercury binding energy can be explained by a specific globular structure of the shungite matrix. Additional experiments on the shungite exposure to mercury in the liquid and gaseous phases showed the increased mercury release at a low temperature and no increase in the high temperature species. The occurrence of a significant portion of the uncommon high temperature species suggests that this mercury can be transported with the mantle methane jets and captured inside the stable carbon globules of the shungite.
Preliminary assessment of the mercury resources only for three proven deposits (54 million ton of shungite, Filippov, 2002) gives the value of 55 t Hg. Shungite is widely used in ferrous metallurgy, for water purification, in cosmetology, etc. Shungites have to be considered as a potential source of the mercury emissions in metallurgy. Also, shungite mercury behavior in other industrial, ecological, medical, and cosmetology applications should be studied.
How to cite: Mashyanov, N., Pogarev, S., Ryzhov, V., and Panova, E.: Mercury occurrence in shungite and coal, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5488, https://doi.org/10.5194/egusphere-egu2020-5488, 2020.
EGU2020-1702 | Displays | BG2.22
Mercury concentrations in diverse lean fish species of the western MediterraneanJoan grimalt, Marco Capodiferro, Eva Junque, and Esther Marco
The Mediterranean Sea is a water body in which the concentration of mercury is much higher than in the other world seas and oceans. Most inputs of this metal originate from the general atmospheric fallout. However, in this semi-enclosed environment there are specific sources that should be identified to understand the causes of the high toxicity by this metal. A significant proportion of Mediterranean fish devoted to human consumption is above the mercury threshold set by the European Community as suitable for human consumption. The proportion is even much larger if the recommended World Health Organization threshold is considered.
Oily fish is known for containing mercury concentrations above these thresholds. Lean fish has been investigated in much fewer cases. The present study is devoted to this second fish type that constitutes a substantial component of human diet. Thus, the study of mercury and methylmercury in fish from local fishermen marketed in diverse Mediterranean sites has provided information on the exposure of diverse populations to this metal and has afforded a description of the Mediterranean areas that have received highest mercury spills.
1350 commercial seafood samples from the Western Mediterranean Sea were collected (Feb 2014-July 2019) in several sites such as Mallorca, Menorca, Eivissa, Alacant (Spain), Marseille (France), Genoa, Alguer, Civitavecchia (Italy). Samples from Egypt and the Atlantic Ocean (Senegal, Mauritania coasts) were also taken for comparison. Fish species were selected considering the most consumed by the population.
Comparison of the mercury concentrations in the specimens of the same fish species collected at different sites revealed where are the hot spots of introduction of the excess of this metal in comparison to the atmospheric fallout and allowed the identification of the source processes.
The fish species were grouped in three trophic levels, those feeding on plankton (first), on small fish and crustaceans (second) and on fish and cephalopods (third).
A considerable number of the analyzed fish species exceeded the maximum levels proposed by the European legislation, such as dusky grouper (100% of the examined specimens), common dentex (65%), conger (45%), common sole (38%), hake (26%) and angler (15%), among others. Representation of the Hg concentrations vs. weight of each specimen from the third trophic level showed a significant positive correlation, r = 0.78 (p < 0.01).
The average THg intake due to fish consumption, 0.61 µg/g ww, involved Hg estimated weekly intakes of 5.7 µg/kg bw for children aged 7-12 years and 4.4 µg/kg bw for adults. These values were higher than the provisional tolerable weekly intakes for total Hg intake recommended by FAO/WHO, 4 µg/kg bw, 140% and 110%, respectively.
How to cite: grimalt, J., Capodiferro, M., Junque, E., and Marco, E.: Mercury concentrations in diverse lean fish species of the western Mediterranean, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1702, https://doi.org/10.5194/egusphere-egu2020-1702, 2020.
The Mediterranean Sea is a water body in which the concentration of mercury is much higher than in the other world seas and oceans. Most inputs of this metal originate from the general atmospheric fallout. However, in this semi-enclosed environment there are specific sources that should be identified to understand the causes of the high toxicity by this metal. A significant proportion of Mediterranean fish devoted to human consumption is above the mercury threshold set by the European Community as suitable for human consumption. The proportion is even much larger if the recommended World Health Organization threshold is considered.
Oily fish is known for containing mercury concentrations above these thresholds. Lean fish has been investigated in much fewer cases. The present study is devoted to this second fish type that constitutes a substantial component of human diet. Thus, the study of mercury and methylmercury in fish from local fishermen marketed in diverse Mediterranean sites has provided information on the exposure of diverse populations to this metal and has afforded a description of the Mediterranean areas that have received highest mercury spills.
1350 commercial seafood samples from the Western Mediterranean Sea were collected (Feb 2014-July 2019) in several sites such as Mallorca, Menorca, Eivissa, Alacant (Spain), Marseille (France), Genoa, Alguer, Civitavecchia (Italy). Samples from Egypt and the Atlantic Ocean (Senegal, Mauritania coasts) were also taken for comparison. Fish species were selected considering the most consumed by the population.
Comparison of the mercury concentrations in the specimens of the same fish species collected at different sites revealed where are the hot spots of introduction of the excess of this metal in comparison to the atmospheric fallout and allowed the identification of the source processes.
The fish species were grouped in three trophic levels, those feeding on plankton (first), on small fish and crustaceans (second) and on fish and cephalopods (third).
A considerable number of the analyzed fish species exceeded the maximum levels proposed by the European legislation, such as dusky grouper (100% of the examined specimens), common dentex (65%), conger (45%), common sole (38%), hake (26%) and angler (15%), among others. Representation of the Hg concentrations vs. weight of each specimen from the third trophic level showed a significant positive correlation, r = 0.78 (p < 0.01).
The average THg intake due to fish consumption, 0.61 µg/g ww, involved Hg estimated weekly intakes of 5.7 µg/kg bw for children aged 7-12 years and 4.4 µg/kg bw for adults. These values were higher than the provisional tolerable weekly intakes for total Hg intake recommended by FAO/WHO, 4 µg/kg bw, 140% and 110%, respectively.
How to cite: grimalt, J., Capodiferro, M., Junque, E., and Marco, E.: Mercury concentrations in diverse lean fish species of the western Mediterranean, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1702, https://doi.org/10.5194/egusphere-egu2020-1702, 2020.
EGU2020-3069 | Displays | BG2.22
Amalgam and Dissolved Mercury Removal A system not just a SeparatorWilliam Purves
Abstract
Title: Amalgam and Dissolved Mercury Removal A system not just a Separator
Content
Packs Solutions LLC has developed an amalgam and dissolved mercury system that significantly reduces the mercury discharge from the dental practice. The US American Dental Association estimates that 50% of the mercury entering the waste treatment facility is from dental practices. The system consists of an innovative chairside trap, use of pH neutral vacuum line cleaners and disinfectants, and advanced technology separator that removes the dissolved mercury from the office discharge. The system is currently in use in the United States and is rapidly gaining popularity with wastewater treatment authorities.
The presentation provides data taken from dental offices and the affect of pH on the dissolving of amalgam in water. The average dental office generates over 14,000 ng/L of dissolved mercury that can not be removed by traditional waste treatment processes. The system has proven to reduce the discharge to <1,000 ng/L on average. The system requires no changes in office routine or equipment. The separator is maintenance free and the chairside trap is custom made to fit in any brand of trap. The average annual cost in the United States is as low as $420 for one chair practice to $1300 for a 6 chair practice.
Bill Purves
Packs Solutions LLC
How to cite: Purves, W.: Amalgam and Dissolved Mercury Removal A system not just a Separator, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3069, https://doi.org/10.5194/egusphere-egu2020-3069, 2020.
Abstract
Title: Amalgam and Dissolved Mercury Removal A system not just a Separator
Content
Packs Solutions LLC has developed an amalgam and dissolved mercury system that significantly reduces the mercury discharge from the dental practice. The US American Dental Association estimates that 50% of the mercury entering the waste treatment facility is from dental practices. The system consists of an innovative chairside trap, use of pH neutral vacuum line cleaners and disinfectants, and advanced technology separator that removes the dissolved mercury from the office discharge. The system is currently in use in the United States and is rapidly gaining popularity with wastewater treatment authorities.
The presentation provides data taken from dental offices and the affect of pH on the dissolving of amalgam in water. The average dental office generates over 14,000 ng/L of dissolved mercury that can not be removed by traditional waste treatment processes. The system has proven to reduce the discharge to <1,000 ng/L on average. The system requires no changes in office routine or equipment. The separator is maintenance free and the chairside trap is custom made to fit in any brand of trap. The average annual cost in the United States is as low as $420 for one chair practice to $1300 for a 6 chair practice.
Bill Purves
Packs Solutions LLC
How to cite: Purves, W.: Amalgam and Dissolved Mercury Removal A system not just a Separator, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3069, https://doi.org/10.5194/egusphere-egu2020-3069, 2020.
BG2.23 – Whole system approaches in addressing processes and long-term changes in terrestrial and aquatic ecosystems
EGU2020-2651 | Displays | BG2.23 | Highlight
ECOPOTENTIAL Storylines: a whole system approach to Protected Area ecosystemsAntonello Provenzale, Carl Beierkuhnlein, Silvia Giamberini, Simona Imperio, Carmela Marangi, and Ramona Viterbi
The EU H2020 ECOPOTENTIAL project was devoted to make best use of Earth observations to improve ecosystem benefits and support conservation strategies. The project followed a whole-ecosystem approach, with special attention to geosphere-biosphere interactions. The project, started in 2015 and ended in 2019, focused its activities on a set of more than 20 protected areas of international relevance in Europe and beyond, many of which are also eLTER and ILTER sites, covering a wide array of biogeographic regions and ecosystems (www.ecopotential-project.eu). The site/sites – specific research activities have been developed within a comprehensive framework (called the project’s “Storylines”) where real-life issues of broad conservation relevance for Protected Areas are linked with research questions. The Storylines specify the needs for remote sensing and in-situ data for ecosystem modelling, ecosystem service assessment, cross-scale interaction estimates, demands for future protections, policy and capacity building. Each storyline has been focused within at least one protected area and has sets the basis for further operational work in the field, adding specifics, defining a work plan and assigning tasks. Storylines have been conceived as iterative processes whose flow of activity and practical implementation evolved with the increase of knowledge and the demands by the users of the scientific findings. After a general introduction to the Storyline approach, here we focus on the case of the Gran Paradiso National Park, considering population dynamics of wild ungulates, biodiversity assessments and Critical Zone exploration. The Storyline concept is now left as a legacy of the ECOPOTENTIAL project to eLTER RI and to the GEO ECO community activities.
How to cite: Provenzale, A., Beierkuhnlein, C., Giamberini, S., Imperio, S., Marangi, C., and Viterbi, R.: ECOPOTENTIAL Storylines: a whole system approach to Protected Area ecosystems, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2651, https://doi.org/10.5194/egusphere-egu2020-2651, 2020.
The EU H2020 ECOPOTENTIAL project was devoted to make best use of Earth observations to improve ecosystem benefits and support conservation strategies. The project followed a whole-ecosystem approach, with special attention to geosphere-biosphere interactions. The project, started in 2015 and ended in 2019, focused its activities on a set of more than 20 protected areas of international relevance in Europe and beyond, many of which are also eLTER and ILTER sites, covering a wide array of biogeographic regions and ecosystems (www.ecopotential-project.eu). The site/sites – specific research activities have been developed within a comprehensive framework (called the project’s “Storylines”) where real-life issues of broad conservation relevance for Protected Areas are linked with research questions. The Storylines specify the needs for remote sensing and in-situ data for ecosystem modelling, ecosystem service assessment, cross-scale interaction estimates, demands for future protections, policy and capacity building. Each storyline has been focused within at least one protected area and has sets the basis for further operational work in the field, adding specifics, defining a work plan and assigning tasks. Storylines have been conceived as iterative processes whose flow of activity and practical implementation evolved with the increase of knowledge and the demands by the users of the scientific findings. After a general introduction to the Storyline approach, here we focus on the case of the Gran Paradiso National Park, considering population dynamics of wild ungulates, biodiversity assessments and Critical Zone exploration. The Storyline concept is now left as a legacy of the ECOPOTENTIAL project to eLTER RI and to the GEO ECO community activities.
How to cite: Provenzale, A., Beierkuhnlein, C., Giamberini, S., Imperio, S., Marangi, C., and Viterbi, R.: ECOPOTENTIAL Storylines: a whole system approach to Protected Area ecosystems, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2651, https://doi.org/10.5194/egusphere-egu2020-2651, 2020.
EGU2020-21461 | Displays | BG2.23
Monitoring bio- geodiversity and ecosystem health by traits, remote sensing and data science approachesAngela Lausch, Peter Dietrich, and Jan Bumberger
Ecosystems fulfil a whole host of ecosystem functions that are essential for life on our planet. However, an unprecedented level of anthropogenic influences is reducing the resilience and stability of our ecosystems as well as their ecosystem functions. The relationships between drivers, stress and ecosystem functions in ecosystems are complex, multi-facetted and often non-linear and yet environmental managers, decision makers and politicians need to be able to make rapid decisions that are data-driven and based on short- and long-term monitoring information, complex modeling and analysis approaches. A huge number of long-standing and standardized ecosystem health and monitoring approaches of bio-and geodiversity exist and are increasingly integrating remote-sensing based monitoring approaches. Unfortunately, these approaches in monitoring, data storage, analysis, prognosis and assessment still do not satisfy the future requirements of information and digital knowledge processing of the 21st century. This presentation presents new concepts of monitoring of bio-and geodiversity and discusses the requirements for using Data Science as a bridge between complex and multidimensional Big Data in environmental health.
It became apparent that no existing monitoring approach, technique, model or platform is sufficient on its own to monitor, model, forecast or assess forest health and its resilience. In order to advance the development of a multi-source ecosystem health monitoring network, we argue that in order to gain a better understanding of ecosystem health in our complex world it would be conducive to implement the concepts of Data Science with the components: (i) digitalization, (ii) standardization with metadata management after the FAIR (Findability, Accessibility, Interoperability, and Reusability) principles, (iii) Semantic Web, (iv) proof, trust and uncertainties, (v) tools for Data Science analysis and (vi) easy tools for scientists, data managers and stakeholders for decision-making support (Lausch et al., 2019, 2018, 2016).
Lausch, A., et al., 2019. Linking Remote Sensing and Geodiversity and Their Traits Relevant to Biodiversity—Part I: Soil Characteristics. Remote Sens. 11, 2356. https://doi.org/10.3390/rs11202356
Lausch, A., 2016. Linking Earth Observation and taxonomic, structural and functional biodiversity: Local to ecosystem perspectives. Ecol. Indic. 70, 317–339. https://doi.org/10.1016/j.ecolind.2016.06.022
Lausch, A., 2018. Understanding Forest Health with Remote Sensing, Part III: Requirements for a Scalable Multi-Source Forest Health Monitoring Network Based on Data Science Approaches. Remote Sens. 10, 1120. https://doi.org/10.3390/rs10071120
How to cite: Lausch, A., Dietrich, P., and Bumberger, J.: Monitoring bio- geodiversity and ecosystem health by traits, remote sensing and data science approaches, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21461, https://doi.org/10.5194/egusphere-egu2020-21461, 2020.
Ecosystems fulfil a whole host of ecosystem functions that are essential for life on our planet. However, an unprecedented level of anthropogenic influences is reducing the resilience and stability of our ecosystems as well as their ecosystem functions. The relationships between drivers, stress and ecosystem functions in ecosystems are complex, multi-facetted and often non-linear and yet environmental managers, decision makers and politicians need to be able to make rapid decisions that are data-driven and based on short- and long-term monitoring information, complex modeling and analysis approaches. A huge number of long-standing and standardized ecosystem health and monitoring approaches of bio-and geodiversity exist and are increasingly integrating remote-sensing based monitoring approaches. Unfortunately, these approaches in monitoring, data storage, analysis, prognosis and assessment still do not satisfy the future requirements of information and digital knowledge processing of the 21st century. This presentation presents new concepts of monitoring of bio-and geodiversity and discusses the requirements for using Data Science as a bridge between complex and multidimensional Big Data in environmental health.
It became apparent that no existing monitoring approach, technique, model or platform is sufficient on its own to monitor, model, forecast or assess forest health and its resilience. In order to advance the development of a multi-source ecosystem health monitoring network, we argue that in order to gain a better understanding of ecosystem health in our complex world it would be conducive to implement the concepts of Data Science with the components: (i) digitalization, (ii) standardization with metadata management after the FAIR (Findability, Accessibility, Interoperability, and Reusability) principles, (iii) Semantic Web, (iv) proof, trust and uncertainties, (v) tools for Data Science analysis and (vi) easy tools for scientists, data managers and stakeholders for decision-making support (Lausch et al., 2019, 2018, 2016).
Lausch, A., et al., 2019. Linking Remote Sensing and Geodiversity and Their Traits Relevant to Biodiversity—Part I: Soil Characteristics. Remote Sens. 11, 2356. https://doi.org/10.3390/rs11202356
Lausch, A., 2016. Linking Earth Observation and taxonomic, structural and functional biodiversity: Local to ecosystem perspectives. Ecol. Indic. 70, 317–339. https://doi.org/10.1016/j.ecolind.2016.06.022
Lausch, A., 2018. Understanding Forest Health with Remote Sensing, Part III: Requirements for a Scalable Multi-Source Forest Health Monitoring Network Based on Data Science Approaches. Remote Sens. 10, 1120. https://doi.org/10.3390/rs10071120
How to cite: Lausch, A., Dietrich, P., and Bumberger, J.: Monitoring bio- geodiversity and ecosystem health by traits, remote sensing and data science approaches, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21461, https://doi.org/10.5194/egusphere-egu2020-21461, 2020.
EGU2020-19266 | Displays | BG2.23
Heat waves and droughts strongly impact productivity and ecosystem functioning in an abandoned subalpine grasslandLudovica Oddi, Marta Galvagno, Edoardo Cremonese, Gianluca Filippa, Mirco Migliavacca, Mauro Bassignana, Umberto Morra di Cella, and Consolata Siniscalco
Climate and land-use changes have major impacts on global biodiversity and carbon cycle of ecosystems. Severe heat waves and droughts, already experienced by the European Alps, e.g. in 2015 and 2018, are expected to further increase in the near future.
In the last decades, land-use changes have led to the abandonment of several mountain grasslands and pastures, so that in Europe a net conversion of grasslands to forest is currently occurring. However, the consequences of alpine grassland abandonment on the ecosystem responses to climate extremes are still largely unknown. Understanding climate change impacts and feedbacks of alpine and subalpine grasslands is essential, because they are ecologically sensitive ecosystems, and they constitute an important C sink and hotspots of biodiversity.
In this work we aim at understanding the effects of heat waves and drought on the relative productivity of grasses and forbs and consequently on ecosystem functioning in an abandoned subalpine grassland located in the Western Italian Alps (Aosta Valley) at 2100 m asl. We took advantage of a 10-years natural experiment in which we analysed biomass production, LAI and Net Ecosystem CO2 Exchange. Vegetation of the study area is characterized by a dominance of the grass Nardus stricta, and by Arnica montana, Trifolium alpinum, Geum montanum and several other forb species typical of alpine and subalpine grasslands.
In the period 2009-2019, primary production as represented by biomass and leaf area index (LAI) gradually decreased with important drops in 2015 and 2018, which were characterised by extreme climatic conditions.
Considering the functional type response to extremes, the LAI peak of grasses, which appeared always the dominant portion of the total LAI, showed significantly lower values in 2015 and 2018 compared to long-term. On the other hand, LAI peak values of forbs showed higher variability among plots and years. The clear decrease of the LAI of grasses (mainly represented by Nardus stricta) contributed significantly to the decrease of the total biomass production and to the NEE reduction. The response of Nardus stricta to heat waves and drought is very clear and influences ecosystem functioning and consequently vegetation dynamics, modifying the relative productivity of grasses and forbs. As an example, in the years 2015 and 2018 an evident phenological response was observed in Arnica montana, with an exceptional number of inflorescences.
In conclusion, we found that heat waves and droughts have the potential to influence the natural vegetation dynamics following abandonment and contribute to the reduction of plant biomass production with consequences on the net ecosystem C exchange and species competition in mountain grasslands.
How to cite: Oddi, L., Galvagno, M., Cremonese, E., Filippa, G., Migliavacca, M., Bassignana, M., Morra di Cella, U., and Siniscalco, C.: Heat waves and droughts strongly impact productivity and ecosystem functioning in an abandoned subalpine grassland, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19266, https://doi.org/10.5194/egusphere-egu2020-19266, 2020.
Climate and land-use changes have major impacts on global biodiversity and carbon cycle of ecosystems. Severe heat waves and droughts, already experienced by the European Alps, e.g. in 2015 and 2018, are expected to further increase in the near future.
In the last decades, land-use changes have led to the abandonment of several mountain grasslands and pastures, so that in Europe a net conversion of grasslands to forest is currently occurring. However, the consequences of alpine grassland abandonment on the ecosystem responses to climate extremes are still largely unknown. Understanding climate change impacts and feedbacks of alpine and subalpine grasslands is essential, because they are ecologically sensitive ecosystems, and they constitute an important C sink and hotspots of biodiversity.
In this work we aim at understanding the effects of heat waves and drought on the relative productivity of grasses and forbs and consequently on ecosystem functioning in an abandoned subalpine grassland located in the Western Italian Alps (Aosta Valley) at 2100 m asl. We took advantage of a 10-years natural experiment in which we analysed biomass production, LAI and Net Ecosystem CO2 Exchange. Vegetation of the study area is characterized by a dominance of the grass Nardus stricta, and by Arnica montana, Trifolium alpinum, Geum montanum and several other forb species typical of alpine and subalpine grasslands.
In the period 2009-2019, primary production as represented by biomass and leaf area index (LAI) gradually decreased with important drops in 2015 and 2018, which were characterised by extreme climatic conditions.
Considering the functional type response to extremes, the LAI peak of grasses, which appeared always the dominant portion of the total LAI, showed significantly lower values in 2015 and 2018 compared to long-term. On the other hand, LAI peak values of forbs showed higher variability among plots and years. The clear decrease of the LAI of grasses (mainly represented by Nardus stricta) contributed significantly to the decrease of the total biomass production and to the NEE reduction. The response of Nardus stricta to heat waves and drought is very clear and influences ecosystem functioning and consequently vegetation dynamics, modifying the relative productivity of grasses and forbs. As an example, in the years 2015 and 2018 an evident phenological response was observed in Arnica montana, with an exceptional number of inflorescences.
In conclusion, we found that heat waves and droughts have the potential to influence the natural vegetation dynamics following abandonment and contribute to the reduction of plant biomass production with consequences on the net ecosystem C exchange and species competition in mountain grasslands.
How to cite: Oddi, L., Galvagno, M., Cremonese, E., Filippa, G., Migliavacca, M., Bassignana, M., Morra di Cella, U., and Siniscalco, C.: Heat waves and droughts strongly impact productivity and ecosystem functioning in an abandoned subalpine grassland, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19266, https://doi.org/10.5194/egusphere-egu2020-19266, 2020.
EGU2020-22096 | Displays | BG2.23 | Highlight
Benthic investigations at the Arctic long-term deep-sea observatory HAUSGARTENChristiane Hasemann, Ingo Schewe, and Thomas Soltwedel
The past decades have seen remarkable changes in key arctic variables, including a decrease in sea-ice extent and sea-ice thickness, changes in temperature and salinity of arctic waters, and associated shifts in nutrient distributions. To detect and track the impact of large-scale environmental changes in the transition zone between the northern North Atlantic and the central Arctic Ocean, the Alfred Wegener Institute for Polar and Marine Research (AWI) established in 1999 about 150 km west of Svalbard the deep-sea long-term observatory HAUSGARTEN, which constitutes the first, and until now only open-ocean long-term station in a polar region. 21 permanent sampling sites along a depth transect between 1000 – 5500 m, and along a latitudinal transect following the 2500 m water depth isobath are revisited yearly. The central HAUSGARTEN station serves as an experimental area for biological short- and long-term experiments at the deep seafloor, simulating various scenarios in changing environmental settings. Multidisciplinary research activities at HAUSGARTEN comprise biochemical analyses to estimate the input of organic matter from phytodetritus sedimentation and activities and biomasses of the small sediment-inhabiting biota as well as assessments of distribution patterns of benthic organisms (covering size classes from bacteria to meiofauna as well as megafauna).The past decades have seen remarkable changes in key arctic variables, including a decrease in sea-ice extent and sea-ice thickness, changes in temperature and salinity of arctic waters, and associated shifts in nutrient distributions. To detect and track the impact of large-scale environmental changes in the transition zone between the northern North Atlantic and the central Arctic Ocean, the Alfred Wegener Institute for Polar and Marine Research (AWI) established in 1999 about 150 km west of Svalbard the deep-sea long-term observatory HAUSGARTEN, which constitutes the first, and until now only open-ocean long-term station in a polar region. 21 permanent sampling sites along a depth transect between 1000 – 5500 m, and along a latitudinal transect following the 2500 m water depth isobath are revisited yearly. The central HAUSGARTEN station serves as an experimental area for biological short- and long-term experiments at the deep seafloor, simulating various scenarios in changing environmental settings. Multidisciplinary research activities at HAUSGARTEN comprise biochemical analyses to estimate the input of organic matter from phytodetritus sedimentation and activities and biomasses of the small sediment-inhabiting biota as well as assessments of distribution patterns of benthic organisms (covering size classes from bacteria to meiofauna as well as megafauna).
How to cite: Hasemann, C., Schewe, I., and Soltwedel, T.: Benthic investigations at the Arctic long-term deep-sea observatory HAUSGARTEN, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22096, https://doi.org/10.5194/egusphere-egu2020-22096, 2020.
The past decades have seen remarkable changes in key arctic variables, including a decrease in sea-ice extent and sea-ice thickness, changes in temperature and salinity of arctic waters, and associated shifts in nutrient distributions. To detect and track the impact of large-scale environmental changes in the transition zone between the northern North Atlantic and the central Arctic Ocean, the Alfred Wegener Institute for Polar and Marine Research (AWI) established in 1999 about 150 km west of Svalbard the deep-sea long-term observatory HAUSGARTEN, which constitutes the first, and until now only open-ocean long-term station in a polar region. 21 permanent sampling sites along a depth transect between 1000 – 5500 m, and along a latitudinal transect following the 2500 m water depth isobath are revisited yearly. The central HAUSGARTEN station serves as an experimental area for biological short- and long-term experiments at the deep seafloor, simulating various scenarios in changing environmental settings. Multidisciplinary research activities at HAUSGARTEN comprise biochemical analyses to estimate the input of organic matter from phytodetritus sedimentation and activities and biomasses of the small sediment-inhabiting biota as well as assessments of distribution patterns of benthic organisms (covering size classes from bacteria to meiofauna as well as megafauna).The past decades have seen remarkable changes in key arctic variables, including a decrease in sea-ice extent and sea-ice thickness, changes in temperature and salinity of arctic waters, and associated shifts in nutrient distributions. To detect and track the impact of large-scale environmental changes in the transition zone between the northern North Atlantic and the central Arctic Ocean, the Alfred Wegener Institute for Polar and Marine Research (AWI) established in 1999 about 150 km west of Svalbard the deep-sea long-term observatory HAUSGARTEN, which constitutes the first, and until now only open-ocean long-term station in a polar region. 21 permanent sampling sites along a depth transect between 1000 – 5500 m, and along a latitudinal transect following the 2500 m water depth isobath are revisited yearly. The central HAUSGARTEN station serves as an experimental area for biological short- and long-term experiments at the deep seafloor, simulating various scenarios in changing environmental settings. Multidisciplinary research activities at HAUSGARTEN comprise biochemical analyses to estimate the input of organic matter from phytodetritus sedimentation and activities and biomasses of the small sediment-inhabiting biota as well as assessments of distribution patterns of benthic organisms (covering size classes from bacteria to meiofauna as well as megafauna).
How to cite: Hasemann, C., Schewe, I., and Soltwedel, T.: Benthic investigations at the Arctic long-term deep-sea observatory HAUSGARTEN, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22096, https://doi.org/10.5194/egusphere-egu2020-22096, 2020.
EGU2020-4901 | Displays | BG2.23
Mediterranean cork oak woodlands and global changes: Synergistic and negative effects of recurrent droughts and shrub encroachmentSimon Haberstroh, Maria C. Caldeira, Raquel Lobo-do-Vale, Joana Martins, Maren Dubbert, Joaquim G. Pinto, Matthias Cuntz, Miguel N. Bugalho, and Christiane Werner
Mediterranean type ecosystems such as cork oak (Quercus suber) woodlands are currently threatened by extreme drought events and shrub encroachment in the Iberian Peninsula. Recently, the frequency of extreme droughts has increased with negative effects on many ecosystems. Decreasing soil water availability reduces growth and fitness of trees, and may eventually induce tree mortality. Shrub encroachment may further increase the competition for soil water, impacting tree vulnerability and resilience negatively. Yet, the synergistic effects of extreme droughts and shrub encroachment on ecosystems have rarely been investigated.
We established a precipitation manipulation and shrub encroachment experiment in a cork oak stand to study the combined effects of the two environmental pressures. The cork oak woodland is located in Southeast Portugal and partially invaded by the native shrub gum rockrose (Cistus ladanifer). In December 2017, we installed rainout shelters (30 to 45% of precipitation reduction) in replicated cork oak stands invaded and uninvaded by gum rockrose, complemented by control plots with natural precipitation. In each treatment, the trees (n = 9) and shrubs (n = 9) were measured for water and carbon fluxes to reveal species-specific responses and competition effects under recurrent extreme drought.
The hydrological year 2018 was characterised by above-average precipitation mainly caused by large spring rainfall events. Probably due to sufficient water supply, no clear treatment effects were evident. For example, minimum leaf water potentials (ΨPD) of the cork oak trees did not drop below −1.5 ± 0.1 MPa and maximum sap flux density was 2.1 ± 0.2 m3 m−2 day−1. Minimum ΨPD of the shrubs was three times lower (−3.5 ± 0.1 MPa) and maximum sap flux density over four-fold higher (8.8 ± 0.8 m3 m−2 day−1) than those of the trees, suggesting distinct species-specific behaviour. Reduced winter and spring precipitation, combined with a late onset of autumn rainfalls in 2019, led to a decrease in water input down to 66% (control) and 44% (drought) compared to the long-term average of 585 mm. In this dry year, negative synergistic effects of drought and shrub encroachment were expressed during the dry-down and drought period by a lower minimum ΨPD and an average sap flux density reduced by 50% (0.4 ± 0.1 m3 m−2 day−1) of invaded trees exposed to the experimental drought, compared to control trees (0.8 ± 0.1 m3 m−2 day−1). In sum, this resulted in a reduction of sap flux densities of the cork oaks by 25% (invaded), 23% (drought) and 34% (drought and invaded) over the course of the hydrological year 2019. The ongoing investigations aim to further determine the stress tolerance and critical physiological thresholds for both species and the entire ecosystem.
How to cite: Haberstroh, S., Caldeira, M. C., Lobo-do-Vale, R., Martins, J., Dubbert, M., Pinto, J. G., Cuntz, M., Bugalho, M. N., and Werner, C.: Mediterranean cork oak woodlands and global changes: Synergistic and negative effects of recurrent droughts and shrub encroachment, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4901, https://doi.org/10.5194/egusphere-egu2020-4901, 2020.
Mediterranean type ecosystems such as cork oak (Quercus suber) woodlands are currently threatened by extreme drought events and shrub encroachment in the Iberian Peninsula. Recently, the frequency of extreme droughts has increased with negative effects on many ecosystems. Decreasing soil water availability reduces growth and fitness of trees, and may eventually induce tree mortality. Shrub encroachment may further increase the competition for soil water, impacting tree vulnerability and resilience negatively. Yet, the synergistic effects of extreme droughts and shrub encroachment on ecosystems have rarely been investigated.
We established a precipitation manipulation and shrub encroachment experiment in a cork oak stand to study the combined effects of the two environmental pressures. The cork oak woodland is located in Southeast Portugal and partially invaded by the native shrub gum rockrose (Cistus ladanifer). In December 2017, we installed rainout shelters (30 to 45% of precipitation reduction) in replicated cork oak stands invaded and uninvaded by gum rockrose, complemented by control plots with natural precipitation. In each treatment, the trees (n = 9) and shrubs (n = 9) were measured for water and carbon fluxes to reveal species-specific responses and competition effects under recurrent extreme drought.
The hydrological year 2018 was characterised by above-average precipitation mainly caused by large spring rainfall events. Probably due to sufficient water supply, no clear treatment effects were evident. For example, minimum leaf water potentials (ΨPD) of the cork oak trees did not drop below −1.5 ± 0.1 MPa and maximum sap flux density was 2.1 ± 0.2 m3 m−2 day−1. Minimum ΨPD of the shrubs was three times lower (−3.5 ± 0.1 MPa) and maximum sap flux density over four-fold higher (8.8 ± 0.8 m3 m−2 day−1) than those of the trees, suggesting distinct species-specific behaviour. Reduced winter and spring precipitation, combined with a late onset of autumn rainfalls in 2019, led to a decrease in water input down to 66% (control) and 44% (drought) compared to the long-term average of 585 mm. In this dry year, negative synergistic effects of drought and shrub encroachment were expressed during the dry-down and drought period by a lower minimum ΨPD and an average sap flux density reduced by 50% (0.4 ± 0.1 m3 m−2 day−1) of invaded trees exposed to the experimental drought, compared to control trees (0.8 ± 0.1 m3 m−2 day−1). In sum, this resulted in a reduction of sap flux densities of the cork oaks by 25% (invaded), 23% (drought) and 34% (drought and invaded) over the course of the hydrological year 2019. The ongoing investigations aim to further determine the stress tolerance and critical physiological thresholds for both species and the entire ecosystem.
How to cite: Haberstroh, S., Caldeira, M. C., Lobo-do-Vale, R., Martins, J., Dubbert, M., Pinto, J. G., Cuntz, M., Bugalho, M. N., and Werner, C.: Mediterranean cork oak woodlands and global changes: Synergistic and negative effects of recurrent droughts and shrub encroachment, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4901, https://doi.org/10.5194/egusphere-egu2020-4901, 2020.
EGU2020-10945 | Displays | BG2.23
Transition pathways of the Greek island Samothraki from an agrarian sociometabolic regime to modern tourism and beyond: a real world lab in sustainabilityMarina Fischer-Kowalski
Transition pathways of the Greek island Samothraki from an agrarian sociometabolic regime to modern tourism and beyond: a real world lab in sustainability
Marina Fischer-Kowalski[1], Nikos Skoulikidis[2], Georg Gratzer[3]
We reconstruct the developmental course of a small mountainous Greek island during the past decades in qualitative and quantitative terms. Conceptually, these efforts are integrated by a socio-metabolic system model (Fischer-Kowalski & Petridis 2016). The approaches from the angle of various disciplines (social ecology, land-use science, aquatic science, forest ecology) as well as the transdisciplinary collaborative approaches sought to compensate for the lack of long-term environmental monitoring data. Ultimate goal of this interdisciplinary and transdisciplinary research was (and is) giving scientific support to a local sustainability transition. We briefly describe the following sociometabolic stages of this process.
stage 1: traditional agrarian / foraging (fishing) socio-metabolic regime
Its features dominated up into the 1960s; the island sustained a population of 3-4000 people on livestock herding (sheep and goats), subsistence agriculture and fishing. Technical energy source: wood and charcoal from mountain forests (Quercus petraea). Grazing was the dominant land-use. Livestock breeding (mainly goats and sheep) was exclusively based on human manpower: free roaming animals, land management practices like regular burning of weeds on pastures.
stage 2: gradual transition to a modern industrial / touristic regime
Beginning with electrification (local diesel aggregate) and state services (schools, health care, road building, legal institutions, expansion of harbour and ferry services) in the 1960s, the island gradually turns into a (modest, national) tourist destination. Income for farmers/herders lags behind, and is supported by state, and later, EU subsidies. The coupling of subsidies to animal numbers leads to a substantial rise in small ruminants, serious overgrazing and decline in vegetation cover (Fetzel et al. 2018) and biodiversity (Biel and Tan 2014), lack of forest regrowth (Heiling 2019), increase in soil erosion (Panagopoulos et al. 2019) as well as rising demand for freshwater and a rising generation of wastewater (Skoulikidis et al. 2019a,b).
stage 3: designing a real-world experiment towards a sustainable future for the island
In the face of the Greek financial crisis, with support from Unesco, a team of scientists from various countries engaged in finding pathways to secure a sustainable course for the island’s future. Upon their advice, the municipality and the relevant Greek authorities in 2013 signed an application for the island to become a Man-and-Biosphere Reserve by Unesco standards, the municipality granted a local LTER-observatory, the regional authority rejected an industrial wind farm proposal, and Unesco welcomed these efforts. The municipality and grass roots actors use the support from international scientists to find sustainable solutions for problems that have been accumulating.
[2] Hellenic Centre for Marine Research, Athens
[3] Institute for Forest Ecology, University of Natural Resources and Life Sciences Vienna
How to cite: Fischer-Kowalski, M.: Transition pathways of the Greek island Samothraki from an agrarian sociometabolic regime to modern tourism and beyond: a real world lab in sustainability, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10945, https://doi.org/10.5194/egusphere-egu2020-10945, 2020.
Transition pathways of the Greek island Samothraki from an agrarian sociometabolic regime to modern tourism and beyond: a real world lab in sustainability
Marina Fischer-Kowalski[1], Nikos Skoulikidis[2], Georg Gratzer[3]
We reconstruct the developmental course of a small mountainous Greek island during the past decades in qualitative and quantitative terms. Conceptually, these efforts are integrated by a socio-metabolic system model (Fischer-Kowalski & Petridis 2016). The approaches from the angle of various disciplines (social ecology, land-use science, aquatic science, forest ecology) as well as the transdisciplinary collaborative approaches sought to compensate for the lack of long-term environmental monitoring data. Ultimate goal of this interdisciplinary and transdisciplinary research was (and is) giving scientific support to a local sustainability transition. We briefly describe the following sociometabolic stages of this process.
stage 1: traditional agrarian / foraging (fishing) socio-metabolic regime
Its features dominated up into the 1960s; the island sustained a population of 3-4000 people on livestock herding (sheep and goats), subsistence agriculture and fishing. Technical energy source: wood and charcoal from mountain forests (Quercus petraea). Grazing was the dominant land-use. Livestock breeding (mainly goats and sheep) was exclusively based on human manpower: free roaming animals, land management practices like regular burning of weeds on pastures.
stage 2: gradual transition to a modern industrial / touristic regime
Beginning with electrification (local diesel aggregate) and state services (schools, health care, road building, legal institutions, expansion of harbour and ferry services) in the 1960s, the island gradually turns into a (modest, national) tourist destination. Income for farmers/herders lags behind, and is supported by state, and later, EU subsidies. The coupling of subsidies to animal numbers leads to a substantial rise in small ruminants, serious overgrazing and decline in vegetation cover (Fetzel et al. 2018) and biodiversity (Biel and Tan 2014), lack of forest regrowth (Heiling 2019), increase in soil erosion (Panagopoulos et al. 2019) as well as rising demand for freshwater and a rising generation of wastewater (Skoulikidis et al. 2019a,b).
stage 3: designing a real-world experiment towards a sustainable future for the island
In the face of the Greek financial crisis, with support from Unesco, a team of scientists from various countries engaged in finding pathways to secure a sustainable course for the island’s future. Upon their advice, the municipality and the relevant Greek authorities in 2013 signed an application for the island to become a Man-and-Biosphere Reserve by Unesco standards, the municipality granted a local LTER-observatory, the regional authority rejected an industrial wind farm proposal, and Unesco welcomed these efforts. The municipality and grass roots actors use the support from international scientists to find sustainable solutions for problems that have been accumulating.
[2] Hellenic Centre for Marine Research, Athens
[3] Institute for Forest Ecology, University of Natural Resources and Life Sciences Vienna
How to cite: Fischer-Kowalski, M.: Transition pathways of the Greek island Samothraki from an agrarian sociometabolic regime to modern tourism and beyond: a real world lab in sustainability, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10945, https://doi.org/10.5194/egusphere-egu2020-10945, 2020.
EGU2020-20249 | Displays | BG2.23 | Highlight
Understanding interacting dynamics of hydrology, carbon cycle, and greenhouse gas fluxes in Arctic watershedsKaisa-Riikka Mustonen, Hannu Marttila, Kaisa Lehosmaa, Iina Koivunen, Jeffrey Welker, Annalea Lohila, and Jussi Jyväsjärvi
Carbon -water interactions are critical components of Arctic freshwater ecosystems. Dissolved organic matter (DOM) is the basis for in stream biological processes and is the foundation of biogeochemical linkages between terrestrial and aquatic landscapes, and also between the river bodies and the atmosphere via outgassing. Quantity and quality of DOM is further affecting the biochemical processes of aquatic ecosystems, as it is strongly related to the abundance, activity and composition of microbial communities. Microbes are an important part of the freshwaters biochemical cycle as they convert DOM into nutrients. They also play a vital role in carbon mineralization into carbon dioxide (CO2) and methane (CH4), which can further be released to the atmosphere resulting substantial greenhouse gas (GHG) emissions. Thus, streams play an important role in global carbon processing, storage and release. However, small Arctic streams and ecologically important interfaces between aquatic and terrestrial ecosystems, in particular, are under-represented in global atmospheric GHG emission estimates owing to a lack of spatial and temporal flux measurements in Arctic conditions.
The objective of our study was to improve understanding of the connections between hydrology, carbon cycle and GHG flux dynamics in Arctic watersheds. We used combination of multiscale measurements to quantify carbon availability (DOC/DIC concentrations) and quality (water absorbance, SUVA254 index), water sources (stable H2O isotope proxies), microbial community structure (rRNA sequencing), and CO2 and CH4 fluxes and stream water concentrations. Our study site is typical groundwater influenced peatland dominated second order watershed located at Pallas-Yllästunturi National Park in northern Finland. Sampling was conducted three times during summer 2019 at 20 locations along the stream gradient.
Preliminary results indicate this stream to be a significant contributor of CO2 and CH4. GHG fluxes increased from headwaters towards the stream outlet. However, the groundwater hotspots decreased, while runoff from peatland sections increased the fluxes. One particular groundwater hotspot was an exception, as its emission rates of CH4 were exceptionally high in June, probably due to increased anaerobic microbial activity within the groundwater system. Microbial contribution to carbon dynamics was evident during our study period as increased DOC loads due to late spring snowmelt dominated runoff from surrounding peatland was mineralized and DIC amount increased towards midsummer. This will be further supported by results from microbial community analysis. Same was evident also in spatial scale, as higher DOC values of headwater sites was reduced downstream and DIC values were increasing respectively. SUVA254 index, which correlates positively with higher DOC aromaticity and molecular weight, was lower at groundwater hotspots. This indicates that groundwater hotspots were producing better quality C for microbes, as microbes tend to prefer compounds with lower aromaticity and molecular weight.
Our study addresses the urgent need for catchment level studies on carbon and GHG cycling that focuses on terrestrial-aquatic linkages, and on the mechanistic processes involved, such as microbe-mediated mineralization. Catchment wide studies conducted in Arctic and Boreal regions including interactions between ecosystems are especially needed today as northern areas are experiencing unprecedented extreme warming, precipitation changes and shifting snow depths.
How to cite: Mustonen, K.-R., Marttila, H., Lehosmaa, K., Koivunen, I., Welker, J., Lohila, A., and Jyväsjärvi, J.: Understanding interacting dynamics of hydrology, carbon cycle, and greenhouse gas fluxes in Arctic watersheds, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20249, https://doi.org/10.5194/egusphere-egu2020-20249, 2020.
Carbon -water interactions are critical components of Arctic freshwater ecosystems. Dissolved organic matter (DOM) is the basis for in stream biological processes and is the foundation of biogeochemical linkages between terrestrial and aquatic landscapes, and also between the river bodies and the atmosphere via outgassing. Quantity and quality of DOM is further affecting the biochemical processes of aquatic ecosystems, as it is strongly related to the abundance, activity and composition of microbial communities. Microbes are an important part of the freshwaters biochemical cycle as they convert DOM into nutrients. They also play a vital role in carbon mineralization into carbon dioxide (CO2) and methane (CH4), which can further be released to the atmosphere resulting substantial greenhouse gas (GHG) emissions. Thus, streams play an important role in global carbon processing, storage and release. However, small Arctic streams and ecologically important interfaces between aquatic and terrestrial ecosystems, in particular, are under-represented in global atmospheric GHG emission estimates owing to a lack of spatial and temporal flux measurements in Arctic conditions.
The objective of our study was to improve understanding of the connections between hydrology, carbon cycle and GHG flux dynamics in Arctic watersheds. We used combination of multiscale measurements to quantify carbon availability (DOC/DIC concentrations) and quality (water absorbance, SUVA254 index), water sources (stable H2O isotope proxies), microbial community structure (rRNA sequencing), and CO2 and CH4 fluxes and stream water concentrations. Our study site is typical groundwater influenced peatland dominated second order watershed located at Pallas-Yllästunturi National Park in northern Finland. Sampling was conducted three times during summer 2019 at 20 locations along the stream gradient.
Preliminary results indicate this stream to be a significant contributor of CO2 and CH4. GHG fluxes increased from headwaters towards the stream outlet. However, the groundwater hotspots decreased, while runoff from peatland sections increased the fluxes. One particular groundwater hotspot was an exception, as its emission rates of CH4 were exceptionally high in June, probably due to increased anaerobic microbial activity within the groundwater system. Microbial contribution to carbon dynamics was evident during our study period as increased DOC loads due to late spring snowmelt dominated runoff from surrounding peatland was mineralized and DIC amount increased towards midsummer. This will be further supported by results from microbial community analysis. Same was evident also in spatial scale, as higher DOC values of headwater sites was reduced downstream and DIC values were increasing respectively. SUVA254 index, which correlates positively with higher DOC aromaticity and molecular weight, was lower at groundwater hotspots. This indicates that groundwater hotspots were producing better quality C for microbes, as microbes tend to prefer compounds with lower aromaticity and molecular weight.
Our study addresses the urgent need for catchment level studies on carbon and GHG cycling that focuses on terrestrial-aquatic linkages, and on the mechanistic processes involved, such as microbe-mediated mineralization. Catchment wide studies conducted in Arctic and Boreal regions including interactions between ecosystems are especially needed today as northern areas are experiencing unprecedented extreme warming, precipitation changes and shifting snow depths.
How to cite: Mustonen, K.-R., Marttila, H., Lehosmaa, K., Koivunen, I., Welker, J., Lohila, A., and Jyväsjärvi, J.: Understanding interacting dynamics of hydrology, carbon cycle, and greenhouse gas fluxes in Arctic watersheds, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20249, https://doi.org/10.5194/egusphere-egu2020-20249, 2020.
EGU2020-22466 | Displays | BG2.23
AQUACOSM-plus: an International Network for Experimental Mesocosm Studies Supporting Experimental Studies of Aquatic-Terrestrial CouplingJens C Nejstgaard, Stella Berger, Katharina Makower, and Iordanis Magiopoulos
Although processes in aquatic systems are closely connected to the terrestrial environment, these environments are often studied separately. We argue that for a better understanding of both aquatic and terrestrial ecosystems a combination of long-term data from connected environments, coupled with experimental ecosystem-scale experiments, have a greater potential for successful model testing and development of predictive concepts, than using only long-term data (without experiments) from separate systems. This talk will present the new EU-funded RI-project AQUACOSM-plus (www.aquacosm.eu, 2020-2024) that offers access to >50 research facilities across the EU and is linked to world-wide cooperation through the MESOCOSM.EU portal, a virtual network of >100 research facilities. Both networks include mesocosm facilities in all aquatic systems, including rivers, ponds, lakes, estuaries and marine systems – offering unique opportunities to conduct ecosystem-scale experimental studies of relevance to aquatic-terrestrial coupling. This network of research facilities can be used for large-scale process-based studies to test models based on trend or response observations from long-term-data, in order to understand underlying mechanisms of ecosystem functioning relating to the present global Grand Challenges (climate change, biodiversity loss, eutrophication, emerging pollutants, etc.). Interested parties are also welcome to suggest other uses of these research facilities, such as conducting ecosystem solution-based experiments to enable effective management in aquatic ecosystems. The network will fund access to >10.000 days for a wide range of external users, including scientists, students, industry and developers, from the whole world.
How to cite: Nejstgaard, J. C., Berger, S., Makower, K., and Magiopoulos, I.: AQUACOSM-plus: an International Network for Experimental Mesocosm Studies Supporting Experimental Studies of Aquatic-Terrestrial Coupling, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22466, https://doi.org/10.5194/egusphere-egu2020-22466, 2020.
Although processes in aquatic systems are closely connected to the terrestrial environment, these environments are often studied separately. We argue that for a better understanding of both aquatic and terrestrial ecosystems a combination of long-term data from connected environments, coupled with experimental ecosystem-scale experiments, have a greater potential for successful model testing and development of predictive concepts, than using only long-term data (without experiments) from separate systems. This talk will present the new EU-funded RI-project AQUACOSM-plus (www.aquacosm.eu, 2020-2024) that offers access to >50 research facilities across the EU and is linked to world-wide cooperation through the MESOCOSM.EU portal, a virtual network of >100 research facilities. Both networks include mesocosm facilities in all aquatic systems, including rivers, ponds, lakes, estuaries and marine systems – offering unique opportunities to conduct ecosystem-scale experimental studies of relevance to aquatic-terrestrial coupling. This network of research facilities can be used for large-scale process-based studies to test models based on trend or response observations from long-term-data, in order to understand underlying mechanisms of ecosystem functioning relating to the present global Grand Challenges (climate change, biodiversity loss, eutrophication, emerging pollutants, etc.). Interested parties are also welcome to suggest other uses of these research facilities, such as conducting ecosystem solution-based experiments to enable effective management in aquatic ecosystems. The network will fund access to >10.000 days for a wide range of external users, including scientists, students, industry and developers, from the whole world.
How to cite: Nejstgaard, J. C., Berger, S., Makower, K., and Magiopoulos, I.: AQUACOSM-plus: an International Network for Experimental Mesocosm Studies Supporting Experimental Studies of Aquatic-Terrestrial Coupling, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22466, https://doi.org/10.5194/egusphere-egu2020-22466, 2020.
EGU2020-4463 | Displays | BG2.23
Drivers of long-term and short-term Nitrogen concentrations and runoff dynamics in a forested karst catchmentThomas Dirnböck, Heike Brielmann, Johannes Kobler, and Andreas Hartmann
Excess Nitrogen (N) deposition from industrial, domestic and agricultural sources has led to increased nitrate leaching, increased gaseous N emissions, the loss of biological diversity, and has affected C sequestration in forest ecosystems. Nitrate leaching affects the purity of karst water resources, which contribute around 50 % to Austria’s drinking water supply. Here we present the first comprehensive evaluation of a 26 years record of dissolved inorganic N (DIN) concentrations and fluxes from a karst catchment in the Austrian Alps (LTER Zöbelboden), which was not affected by local N sources but solely by long-range N deposition (20-25 kg N ha-1 y-1 total N deposition). We inferred from soil chemical and microbial data as well as nitrate leaching, that the forest ecosystems in the catchment are likely saturated with respect to nitrogen. Consequently, 60-70% of the atmospheric N input was lost via leaching of NO3- to the karst aquifer or emission of N2O to the atmosphere. However, due to high dilution DIN concentrations in the runoff rarely exceed 2 mg N l-1. An exception were periods of forest disturbances. A number of strong storms (2007-2008) caused some major windthrows as well as single tree damages (5-10% of the catchment). Runoff concentrations of DIN showed clear responses to the disturbances with an increase (~ 1 mg N l-1) until 2008/09 and a decreased again in 2010/11 to pre-disturbance levels. Apart from disturbances, drought years led to an increase in NO3- in the soil water in the following years. We observed the subsequent changes of the dynamics of DIN in runoff with a high-resolution water probe during 2018 and 2019. This data shows that the severity of the drought and the magnitude of the first rewetting event after a period of drought drives the size of the flush of DIN. It is likely that N deposition will lower with legislated emission reductions and that the currently N leaky ecosystems may immobilize more N when climate is becoming warmer in the future. However, we hypothesize that the karst aquifer will still receive DIN rich runoff water due to long-term lags in the recovery of a closed N cycle and because of expected climate events such as storms and droughts.
How to cite: Dirnböck, T., Brielmann, H., Kobler, J., and Hartmann, A.: Drivers of long-term and short-term Nitrogen concentrations and runoff dynamics in a forested karst catchment, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4463, https://doi.org/10.5194/egusphere-egu2020-4463, 2020.
Excess Nitrogen (N) deposition from industrial, domestic and agricultural sources has led to increased nitrate leaching, increased gaseous N emissions, the loss of biological diversity, and has affected C sequestration in forest ecosystems. Nitrate leaching affects the purity of karst water resources, which contribute around 50 % to Austria’s drinking water supply. Here we present the first comprehensive evaluation of a 26 years record of dissolved inorganic N (DIN) concentrations and fluxes from a karst catchment in the Austrian Alps (LTER Zöbelboden), which was not affected by local N sources but solely by long-range N deposition (20-25 kg N ha-1 y-1 total N deposition). We inferred from soil chemical and microbial data as well as nitrate leaching, that the forest ecosystems in the catchment are likely saturated with respect to nitrogen. Consequently, 60-70% of the atmospheric N input was lost via leaching of NO3- to the karst aquifer or emission of N2O to the atmosphere. However, due to high dilution DIN concentrations in the runoff rarely exceed 2 mg N l-1. An exception were periods of forest disturbances. A number of strong storms (2007-2008) caused some major windthrows as well as single tree damages (5-10% of the catchment). Runoff concentrations of DIN showed clear responses to the disturbances with an increase (~ 1 mg N l-1) until 2008/09 and a decreased again in 2010/11 to pre-disturbance levels. Apart from disturbances, drought years led to an increase in NO3- in the soil water in the following years. We observed the subsequent changes of the dynamics of DIN in runoff with a high-resolution water probe during 2018 and 2019. This data shows that the severity of the drought and the magnitude of the first rewetting event after a period of drought drives the size of the flush of DIN. It is likely that N deposition will lower with legislated emission reductions and that the currently N leaky ecosystems may immobilize more N when climate is becoming warmer in the future. However, we hypothesize that the karst aquifer will still receive DIN rich runoff water due to long-term lags in the recovery of a closed N cycle and because of expected climate events such as storms and droughts.
How to cite: Dirnböck, T., Brielmann, H., Kobler, J., and Hartmann, A.: Drivers of long-term and short-term Nitrogen concentrations and runoff dynamics in a forested karst catchment, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4463, https://doi.org/10.5194/egusphere-egu2020-4463, 2020.
EGU2020-22465 | Displays | BG2.23 | Highlight
Modeling Farmer’s Decision-Making to integrate climate, land use and ecosystem functionsVeronica Gaube, Claudine Egger, Christoph Plutzar, Andreas Mayer, and Helmut Haberl
Land use and climate change are important drivers of environmental change and pose a major threat to ecosystems. Although systemic feedbacks between climate and land use changes are expected to have important impacts, research has rarely focused on the interaction between the two drivers. One reason for this could be that forecasts of land use are hardly available on suitable spatial and thematic scales. Agent-based models (ABMs) represent a potentially powerful tool for creating thematic and spatially fine-grained land use scenarios. In order to derive such scenarios, the complex interaction between land users (e.g. farmers) and the broader socio-economic context in which they operate must be taken into account. On landscape to regional scales, agent-based modelling (ABM) is one way to adequately consider these intricacies. ABMs simulate human decisions, and with individual land owners/users as agents, they can simulate usage paths for individual plots of land in thematically fine resolution. Ideally, these simulations are based on an understanding of how farmers make decisions, including anticipated strategies, adaptive behavior and social interactions. In order to develop such an understanding, participatory approaches are useful because they incorporate stakeholders' perspectives into the model calibration, thereby taking into account culture and traditions that often play an important role in land use decisions. A greater proximity to stakeholder perspectives also increases the political relevance of such land use models. Here we present an example where we developed an ABM (SECLAND) parameterised for 1,329 stakeholders, mostly farmers, in the LTSER region Eisenwurzen (Austria) and simulate the changes in land use patterns resulting from their response to three scenarios of changing socio-economic conditions. Summarized in broad categories, the study region currently consists of 67% deciduous and coniferous forests (including logging), 19% grassland, 9% agricultural land and 6% alpine areas. SECLAND simulated small to moderate changes in these percentages until 2050, with little difference between the scenarios. In general, an increase in forests is predicted at the expense of grasslands. The size of agricultural land remains approximately constant. At the level of the 22 land use classes, the trends between the land use change scenarios differ more strongly. This ABM at the individual or farm level is combined with biodiversity and biogeochemical models that analyse how landowners' decision-making affects various ecosystem parameters. We conclude that agent-based modelling is a powerful tool for integrating land use and climate effects into ecosystem projections, especially at regional level.
How to cite: Gaube, V., Egger, C., Plutzar, C., Mayer, A., and Haberl, H.: Modeling Farmer’s Decision-Making to integrate climate, land use and ecosystem functions, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22465, https://doi.org/10.5194/egusphere-egu2020-22465, 2020.
Land use and climate change are important drivers of environmental change and pose a major threat to ecosystems. Although systemic feedbacks between climate and land use changes are expected to have important impacts, research has rarely focused on the interaction between the two drivers. One reason for this could be that forecasts of land use are hardly available on suitable spatial and thematic scales. Agent-based models (ABMs) represent a potentially powerful tool for creating thematic and spatially fine-grained land use scenarios. In order to derive such scenarios, the complex interaction between land users (e.g. farmers) and the broader socio-economic context in which they operate must be taken into account. On landscape to regional scales, agent-based modelling (ABM) is one way to adequately consider these intricacies. ABMs simulate human decisions, and with individual land owners/users as agents, they can simulate usage paths for individual plots of land in thematically fine resolution. Ideally, these simulations are based on an understanding of how farmers make decisions, including anticipated strategies, adaptive behavior and social interactions. In order to develop such an understanding, participatory approaches are useful because they incorporate stakeholders' perspectives into the model calibration, thereby taking into account culture and traditions that often play an important role in land use decisions. A greater proximity to stakeholder perspectives also increases the political relevance of such land use models. Here we present an example where we developed an ABM (SECLAND) parameterised for 1,329 stakeholders, mostly farmers, in the LTSER region Eisenwurzen (Austria) and simulate the changes in land use patterns resulting from their response to three scenarios of changing socio-economic conditions. Summarized in broad categories, the study region currently consists of 67% deciduous and coniferous forests (including logging), 19% grassland, 9% agricultural land and 6% alpine areas. SECLAND simulated small to moderate changes in these percentages until 2050, with little difference between the scenarios. In general, an increase in forests is predicted at the expense of grasslands. The size of agricultural land remains approximately constant. At the level of the 22 land use classes, the trends between the land use change scenarios differ more strongly. This ABM at the individual or farm level is combined with biodiversity and biogeochemical models that analyse how landowners' decision-making affects various ecosystem parameters. We conclude that agent-based modelling is a powerful tool for integrating land use and climate effects into ecosystem projections, especially at regional level.
How to cite: Gaube, V., Egger, C., Plutzar, C., Mayer, A., and Haberl, H.: Modeling Farmer’s Decision-Making to integrate climate, land use and ecosystem functions, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-22465, https://doi.org/10.5194/egusphere-egu2020-22465, 2020.
EGU2020-13698 | Displays | BG2.23
Regional greenhouse gas (GHG) budget of Kokemäenjoki river basin, SW FinlandTerhi Rasilo, Maria Holmberg, Anu Akujärvi, Saku Anttila, Iida Autio, Niko Karvosenoja, Pirkko Kortelainen, Aleksi Lehtonen, Annikki Mäkelä, Francesco Minunno, Paavo Ojanen, Ville-Veikko Paunu, Mikko Peltoniemi, Katri Rankinen, Tapani Sallantaus, Mikko Savolahti, Sakari Tuominen, Seppo Tuominen, Pekka Vanhala, and Martin Forsius
Natural ecosystems play an important role in regulating greenhouse gas (GHG) fluxes between land and water surfaces and the atmosphere. To evaluate the full GHG balance of a region, fluxes from natural ecosystems such as undrained mires, lakes and rivers, should be included in the GHG accounting together with fluxes from forestry, agricultural and anthropogenic activities. We present a method for collating regional GHG balances including natural ecosystem processes, to support strategies for climate change mitigation and adaptation. Our study area is Kokemäenjoki river basin (SW Finland), which includes two eLTER sites (Lammi and Hyytiälä/SMEAR). Empirical data of these sites are used for model developments and calibrations as well as regional extrapolation. We report spatially explicit estimates on sources and sinks of GHG such as carbon dioxide and methane, and nitrous oxide for some ecosystems, and aggregate the regional balance from vertical fluxes of these elements. Spatial data sources include CORINE land use data, soil map, lake and rivers shorelines, national forest inventory data, as well as statistical data on anthropogenic activities. The regionally aggregated vertical balance will be compared to observed total lateral flux to the Bothnian Sea. We quantify the fluxes on the basis of empirical evidence from eLTER site information, literature, as well as on calculations with a forest growth and gas exchange model (PREBAS).
Acknowledgements and funding:
Irina Bergström, Markus Haakana, Antti Ihalainen and Kari Minkkinen
eLTER H2020 GA 654359
IBC-Carbon Academy of Finland SRC 2017/312559
SOMPA Academy of Finland SRC 2017/312912
oGIIR
Freshabit LIFE IP LIFE14/IPE/FI/023
How to cite: Rasilo, T., Holmberg, M., Akujärvi, A., Anttila, S., Autio, I., Karvosenoja, N., Kortelainen, P., Lehtonen, A., Mäkelä, A., Minunno, F., Ojanen, P., Paunu, V.-V., Peltoniemi, M., Rankinen, K., Sallantaus, T., Savolahti, M., Tuominen, S., Tuominen, S., Vanhala, P., and Forsius, M.: Regional greenhouse gas (GHG) budget of Kokemäenjoki river basin, SW Finland, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13698, https://doi.org/10.5194/egusphere-egu2020-13698, 2020.
Natural ecosystems play an important role in regulating greenhouse gas (GHG) fluxes between land and water surfaces and the atmosphere. To evaluate the full GHG balance of a region, fluxes from natural ecosystems such as undrained mires, lakes and rivers, should be included in the GHG accounting together with fluxes from forestry, agricultural and anthropogenic activities. We present a method for collating regional GHG balances including natural ecosystem processes, to support strategies for climate change mitigation and adaptation. Our study area is Kokemäenjoki river basin (SW Finland), which includes two eLTER sites (Lammi and Hyytiälä/SMEAR). Empirical data of these sites are used for model developments and calibrations as well as regional extrapolation. We report spatially explicit estimates on sources and sinks of GHG such as carbon dioxide and methane, and nitrous oxide for some ecosystems, and aggregate the regional balance from vertical fluxes of these elements. Spatial data sources include CORINE land use data, soil map, lake and rivers shorelines, national forest inventory data, as well as statistical data on anthropogenic activities. The regionally aggregated vertical balance will be compared to observed total lateral flux to the Bothnian Sea. We quantify the fluxes on the basis of empirical evidence from eLTER site information, literature, as well as on calculations with a forest growth and gas exchange model (PREBAS).
Acknowledgements and funding:
Irina Bergström, Markus Haakana, Antti Ihalainen and Kari Minkkinen
eLTER H2020 GA 654359
IBC-Carbon Academy of Finland SRC 2017/312559
SOMPA Academy of Finland SRC 2017/312912
oGIIR
Freshabit LIFE IP LIFE14/IPE/FI/023
How to cite: Rasilo, T., Holmberg, M., Akujärvi, A., Anttila, S., Autio, I., Karvosenoja, N., Kortelainen, P., Lehtonen, A., Mäkelä, A., Minunno, F., Ojanen, P., Paunu, V.-V., Peltoniemi, M., Rankinen, K., Sallantaus, T., Savolahti, M., Tuominen, S., Tuominen, S., Vanhala, P., and Forsius, M.: Regional greenhouse gas (GHG) budget of Kokemäenjoki river basin, SW Finland, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13698, https://doi.org/10.5194/egusphere-egu2020-13698, 2020.
EGU2020-5190 | Displays | BG2.23
Long term brownification process at the Lammi LTER area in FinlandKatri Rankinen, Maria Holmberg, Seppo Hellsten, Lauri Arvola, Ninni Liukko, and Juha Riihimäki
Browning of surface waters due to increased terrestrial loading of organic carbon is observed in boreal regions. It is explained by large scale changes in ecosystems, including decrease in sulphur deposition that affects soil organic matter solubility, increase in temperature that stimulates export of dissolved organic carbon (DOC) from organic soils, and increase in precipitation and thus runoff. Land use changes and forestry measures are also observed to be one reason for increased transport of DOC. The effects of brownification extend to ecosystem services like water purification, but also freshwater productivity through limiting light penetration and creating more stable thermal stratification. The research question at the Lammi LTER area (Southern Boreal Aquatic and Terrestrial Long-Term Ecological Research Area) was brownification of the lake Pääjärvi. We studied both past trends of organic carbon loading from catchments and water colour in the lake based on observations since early 1990’s. We also made simulations of loading for future climate by the physical Persist and INCA models. DOC concentration in the lake was simulated by the physical MyLake model. Simulated DOC concentration was transformed to water colour and light climate of the lake by empirical equations to study the influence on macrophytes (as an indicator of the ecosystem state). In future growing depths might decrease from 2 m to 1.2 m corresponding to observed shift from reference lakes to impacted lakes. Brownification was driven mainly by the change in climate and decay of organic matter in soil, with smaller impact of land use change on organic soil types. Decrease in sulphur deposition had only minor effect on brownification.
How to cite: Rankinen, K., Holmberg, M., Hellsten, S., Arvola, L., Liukko, N., and Riihimäki, J.: Long term brownification process at the Lammi LTER area in Finland , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5190, https://doi.org/10.5194/egusphere-egu2020-5190, 2020.
Browning of surface waters due to increased terrestrial loading of organic carbon is observed in boreal regions. It is explained by large scale changes in ecosystems, including decrease in sulphur deposition that affects soil organic matter solubility, increase in temperature that stimulates export of dissolved organic carbon (DOC) from organic soils, and increase in precipitation and thus runoff. Land use changes and forestry measures are also observed to be one reason for increased transport of DOC. The effects of brownification extend to ecosystem services like water purification, but also freshwater productivity through limiting light penetration and creating more stable thermal stratification. The research question at the Lammi LTER area (Southern Boreal Aquatic and Terrestrial Long-Term Ecological Research Area) was brownification of the lake Pääjärvi. We studied both past trends of organic carbon loading from catchments and water colour in the lake based on observations since early 1990’s. We also made simulations of loading for future climate by the physical Persist and INCA models. DOC concentration in the lake was simulated by the physical MyLake model. Simulated DOC concentration was transformed to water colour and light climate of the lake by empirical equations to study the influence on macrophytes (as an indicator of the ecosystem state). In future growing depths might decrease from 2 m to 1.2 m corresponding to observed shift from reference lakes to impacted lakes. Brownification was driven mainly by the change in climate and decay of organic matter in soil, with smaller impact of land use change on organic soil types. Decrease in sulphur deposition had only minor effect on brownification.
How to cite: Rankinen, K., Holmberg, M., Hellsten, S., Arvola, L., Liukko, N., and Riihimäki, J.: Long term brownification process at the Lammi LTER area in Finland , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5190, https://doi.org/10.5194/egusphere-egu2020-5190, 2020.
EGU2020-11251 | Displays | BG2.23
The contribution of Web of Interactions framework to the whole system approachShayli Dor Haim, Daniel Orenstein, and Moshe Shachak
The concept of whole system approach offers a foundation for ecosystem studies. Identification of the components and interaction demonstrate the challenges in the field of ecology, due to the lack of a conceptual and applied framework. we attend to present a theoretical foundation and a methodology for identifying components and interactions of the whole system approach linking biodiversity and geodiversity processes into ecosystem diversity as a web of interactions (WoI).
The web of interactions model combines the geodiversity components that include climate, geology, geomorphology, and hydrology processes and their interactions and the biodiversity components that include population, community, ecosystem, and landscape levels of organization and their interactions. Linking biodiversity and geodiversity produces ecosystem diversity, which is represented as a web of diversity interactions that include climate, rock, soil, species, genetic, and functional diversities
In the talk we will present examples from our long term study in the Negev Highland, an arid water limited environment. The system is characterized by high geodiversity (topographic, geologic, geomorphic, and pedologic diversity) and high biodiversity with many unique and endemic species.
Our study presents the whole system approach of the Negev Highlands ecosystem as a web of interactions (WoI) among and between the diversity of components that links biotic and abiotic diversities. All the components and their interactions vary in time and space and together determine ecosystem diversity.
Long term study in the Negev Highland site revealed various of diversities of the ecosystem that can be linked by hydro-geo-ecological components, drivers, and feedbacks that control geodiversity and biodiversity. The main feedbacks are: the hydrological feedback that controlled by rainfall pattern and affects the pedological feedback by runoff generation that accumulates dust and regulates rock-to-soil ratio. These two feedbacks control soil moisture, which links geodiversity with biodiversity components. In addition, an energy and material feedback which is characterized by the producer–consumer and decomposer relationships supports ecosystem engineers that link geo and biodiversity. The functional interactions among the biodiversity and geodiversity components create ecosystem diversity that is the driver of whole system properties.
We suggest that the web of interaction approach can potentially be applied to understand whole system emergent properties of terrestrial ecosystem.
How to cite: Dor Haim, S., Orenstein, D., and Shachak, M.: The contribution of Web of Interactions framework to the whole system approach, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11251, https://doi.org/10.5194/egusphere-egu2020-11251, 2020.
The concept of whole system approach offers a foundation for ecosystem studies. Identification of the components and interaction demonstrate the challenges in the field of ecology, due to the lack of a conceptual and applied framework. we attend to present a theoretical foundation and a methodology for identifying components and interactions of the whole system approach linking biodiversity and geodiversity processes into ecosystem diversity as a web of interactions (WoI).
The web of interactions model combines the geodiversity components that include climate, geology, geomorphology, and hydrology processes and their interactions and the biodiversity components that include population, community, ecosystem, and landscape levels of organization and their interactions. Linking biodiversity and geodiversity produces ecosystem diversity, which is represented as a web of diversity interactions that include climate, rock, soil, species, genetic, and functional diversities
In the talk we will present examples from our long term study in the Negev Highland, an arid water limited environment. The system is characterized by high geodiversity (topographic, geologic, geomorphic, and pedologic diversity) and high biodiversity with many unique and endemic species.
Our study presents the whole system approach of the Negev Highlands ecosystem as a web of interactions (WoI) among and between the diversity of components that links biotic and abiotic diversities. All the components and their interactions vary in time and space and together determine ecosystem diversity.
Long term study in the Negev Highland site revealed various of diversities of the ecosystem that can be linked by hydro-geo-ecological components, drivers, and feedbacks that control geodiversity and biodiversity. The main feedbacks are: the hydrological feedback that controlled by rainfall pattern and affects the pedological feedback by runoff generation that accumulates dust and regulates rock-to-soil ratio. These two feedbacks control soil moisture, which links geodiversity with biodiversity components. In addition, an energy and material feedback which is characterized by the producer–consumer and decomposer relationships supports ecosystem engineers that link geo and biodiversity. The functional interactions among the biodiversity and geodiversity components create ecosystem diversity that is the driver of whole system properties.
We suggest that the web of interaction approach can potentially be applied to understand whole system emergent properties of terrestrial ecosystem.
How to cite: Dor Haim, S., Orenstein, D., and Shachak, M.: The contribution of Web of Interactions framework to the whole system approach, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11251, https://doi.org/10.5194/egusphere-egu2020-11251, 2020.
EGU2020-4613 | Displays | BG2.23
State tagging for improved earth and environmental data quality assuranceMichael Tso, Peter Henrys, Susannah Rennie, and John Watkins
Long-term monitoring data that considers a wide array of environmental variables provides key insights to environmental change because responses of ecosystem functions and services to environmental drivers are inherently long-term and strongly interlinked. To ensure that the data are reliable for analysis and interpretation, they must undergo quality assurance procedures. However, the expected or acceptable range of data values vary greatly as the state of the ecosystem changes. Current quality assurance procedures for environmental data take no consideration of the system state at which each measurement is made, and provide the user with little contextual information on the probable cause for a measurement to be flagged out of range. We propose the use of data science techniques to tag each measurement with an identified system state. The term “state” here is defined loosely and they are identified using k-means clustering, an unsupervised machine learning method. The meaning of the states is open to specialist interpretation. Once the states are identified, state-dependent prediction intervals can be calculated for each observational variable. This approach provides the user with more contextual information to resolve out-of-range flags and derive prediction intervals for observational variables that considers the changes in system states. Our highly flexible and efficient approach is applicable to any point data time series in earth and environmental sciences, regardless of their sub-discipline. Such advantage is particularly relevant when conducting simultaneous analysis of multiple processes and feedbacks, where a wide variety of data is used.
We illustrate our approach using the moth and butterfly data from the UK Environmental Change Network (ECN), where meteorological variables are used to define system states. A web application is publicly available to allow users to explore the method on various ECN site, while a generic is also available for users to upload their own data files. Our work contributes to the ongoing development of a better data science framework that allows researchers and other stakeholders to find and use the data they need more readily and reliably.
How to cite: Tso, M., Henrys, P., Rennie, S., and Watkins, J.: State tagging for improved earth and environmental data quality assurance, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4613, https://doi.org/10.5194/egusphere-egu2020-4613, 2020.
Long-term monitoring data that considers a wide array of environmental variables provides key insights to environmental change because responses of ecosystem functions and services to environmental drivers are inherently long-term and strongly interlinked. To ensure that the data are reliable for analysis and interpretation, they must undergo quality assurance procedures. However, the expected or acceptable range of data values vary greatly as the state of the ecosystem changes. Current quality assurance procedures for environmental data take no consideration of the system state at which each measurement is made, and provide the user with little contextual information on the probable cause for a measurement to be flagged out of range. We propose the use of data science techniques to tag each measurement with an identified system state. The term “state” here is defined loosely and they are identified using k-means clustering, an unsupervised machine learning method. The meaning of the states is open to specialist interpretation. Once the states are identified, state-dependent prediction intervals can be calculated for each observational variable. This approach provides the user with more contextual information to resolve out-of-range flags and derive prediction intervals for observational variables that considers the changes in system states. Our highly flexible and efficient approach is applicable to any point data time series in earth and environmental sciences, regardless of their sub-discipline. Such advantage is particularly relevant when conducting simultaneous analysis of multiple processes and feedbacks, where a wide variety of data is used.
We illustrate our approach using the moth and butterfly data from the UK Environmental Change Network (ECN), where meteorological variables are used to define system states. A web application is publicly available to allow users to explore the method on various ECN site, while a generic is also available for users to upload their own data files. Our work contributes to the ongoing development of a better data science framework that allows researchers and other stakeholders to find and use the data they need more readily and reliably.
How to cite: Tso, M., Henrys, P., Rennie, S., and Watkins, J.: State tagging for improved earth and environmental data quality assurance, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4613, https://doi.org/10.5194/egusphere-egu2020-4613, 2020.
EGU2020-984 | Displays | BG2.23
From burned vegetation to streams water: fire effects on vegetation resilience and nutrient fluxesNubia Marques, Fabio Miranda, Leticia Gomes, Felipe Lenti, and Mercedes Bustamante
Wildfire effects on riparian zones and stream water can be significant, particularly in the vegetation recovery and flow of nutrients between the terrestrial and aquatic ecosystem. However, the integrated knowledge about the impacts of fire on terrestrial and aquatic ecosystems in the Brazilian Cerrado is poorly known. In Brazilian Cerrado, wildfire is one of the main vectors of degradation of riparian vegetation, because the forest formation in riparian zones can be more sensitive to fire than the other savanna formation due to a less evident vegetation fire-adaptations. Our main objective was to understand the effects of fire on the resilience of riparian vegetation and their consequences to nutrient fluxes between terrestrial and aquatic ecosystem. This study was conducted in the Environmental Protection Area (APA) located in the Federal District - Brazil, which is one of Brazil’s Long-Term Ecological Research Site, after a wildfire (September 2011) that burned an area of about 140 km2. We analyzed the riparian vegetation resilience (for forests and surrounding savannas formations) and nutrients fluxes (in surface runoff and stream water) in five streams. We estimated the fire severity with Delta Normalized Burn Ratio index and the riparian vegetation resilience with the Normalized Vegetation Index and evaluated the changes in nutrient concentrations for nitrite + nitrate ([NO2- + NO3-]), ammonium (NH4+), and phosphate (PO43-) during 16 months on stream water and surface runoff solution in burned and unburned areas using the Generalized Linear Models. Our results show that fire severity was similar between forests and savannas formations, but in savannas we observed higher vegetation resilience, with faster vegetation regrowth and recovery after three weeks. The concentration of nutrients on both surface runoff and inside the stream have changed in burned areas regarding unburned areas, with an increase of PO43- and [NO2- + NO3-] and a decreased of NH4+. After 16 months of the fire event, the concentration of PO43-, [NO2- + NO3-] and NH4+ increased in surface runoff, while [NO2- + NO3-] decreased inside the streams in burned areas. Precipitation was a factor that caused the increase of concentrations of [NO2- + NO3-] and NH4+ and, the high precipitation on rainy season (October – March), that started after the fire, could have contributed to the input of these nutrients and particulate materials from ashes to streams. Our results showed that the occurrence of fire in riparian environments reduces the biomass of riparian forests and increases the concentration of nutrients on streams. These elevated postfire nitrogen and phosphate loading can influence streams ecosystem health, especially in oligotrophic streams like those found in Brazilian Cerrado. It is known that phosphorus and nitrogen are limited nutrients for algal and cyanobacterial growth in freshwater ecosystem and an increase of these organisms can disrupt the ecosystem integrity. Fire is a pulsed disturbance and its effect on freshwater ecosystem depends on terrestrial ecosystem recovery, in this way, it is necessary to integrate the knowledge about the impacts of fire on terrestrial and aquatic ecosystems to better understand the effects on the entire ecosystem.
How to cite: Marques, N., Miranda, F., Gomes, L., Lenti, F., and Bustamante, M.: From burned vegetation to streams water: fire effects on vegetation resilience and nutrient fluxes, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-984, https://doi.org/10.5194/egusphere-egu2020-984, 2020.
Wildfire effects on riparian zones and stream water can be significant, particularly in the vegetation recovery and flow of nutrients between the terrestrial and aquatic ecosystem. However, the integrated knowledge about the impacts of fire on terrestrial and aquatic ecosystems in the Brazilian Cerrado is poorly known. In Brazilian Cerrado, wildfire is one of the main vectors of degradation of riparian vegetation, because the forest formation in riparian zones can be more sensitive to fire than the other savanna formation due to a less evident vegetation fire-adaptations. Our main objective was to understand the effects of fire on the resilience of riparian vegetation and their consequences to nutrient fluxes between terrestrial and aquatic ecosystem. This study was conducted in the Environmental Protection Area (APA) located in the Federal District - Brazil, which is one of Brazil’s Long-Term Ecological Research Site, after a wildfire (September 2011) that burned an area of about 140 km2. We analyzed the riparian vegetation resilience (for forests and surrounding savannas formations) and nutrients fluxes (in surface runoff and stream water) in five streams. We estimated the fire severity with Delta Normalized Burn Ratio index and the riparian vegetation resilience with the Normalized Vegetation Index and evaluated the changes in nutrient concentrations for nitrite + nitrate ([NO2- + NO3-]), ammonium (NH4+), and phosphate (PO43-) during 16 months on stream water and surface runoff solution in burned and unburned areas using the Generalized Linear Models. Our results show that fire severity was similar between forests and savannas formations, but in savannas we observed higher vegetation resilience, with faster vegetation regrowth and recovery after three weeks. The concentration of nutrients on both surface runoff and inside the stream have changed in burned areas regarding unburned areas, with an increase of PO43- and [NO2- + NO3-] and a decreased of NH4+. After 16 months of the fire event, the concentration of PO43-, [NO2- + NO3-] and NH4+ increased in surface runoff, while [NO2- + NO3-] decreased inside the streams in burned areas. Precipitation was a factor that caused the increase of concentrations of [NO2- + NO3-] and NH4+ and, the high precipitation on rainy season (October – March), that started after the fire, could have contributed to the input of these nutrients and particulate materials from ashes to streams. Our results showed that the occurrence of fire in riparian environments reduces the biomass of riparian forests and increases the concentration of nutrients on streams. These elevated postfire nitrogen and phosphate loading can influence streams ecosystem health, especially in oligotrophic streams like those found in Brazilian Cerrado. It is known that phosphorus and nitrogen are limited nutrients for algal and cyanobacterial growth in freshwater ecosystem and an increase of these organisms can disrupt the ecosystem integrity. Fire is a pulsed disturbance and its effect on freshwater ecosystem depends on terrestrial ecosystem recovery, in this way, it is necessary to integrate the knowledge about the impacts of fire on terrestrial and aquatic ecosystems to better understand the effects on the entire ecosystem.
How to cite: Marques, N., Miranda, F., Gomes, L., Lenti, F., and Bustamante, M.: From burned vegetation to streams water: fire effects on vegetation resilience and nutrient fluxes, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-984, https://doi.org/10.5194/egusphere-egu2020-984, 2020.
EGU2020-3923 | Displays | BG2.23
An integrated research infrastructure concept with multidisciplinary observations on climate changeJaana Bäck, Tuukka Petäjä, Mari Pihlatie, Janne Levula, Timo Vesala, and Markku Kulmala
The observations on global warming or elements relevant to climate change are frequently performed in isolation, which results in insufficient understanding of the whole Earth system functioning and feedbacks. Frequently CO2 emissions, atmospheric concentrations of greenhouse gases and the global air temperature records are pooled together to obtain statistical relationships and correlations between them. However, forecasting future changes and designing tools for mitigating their deleterious effects would require a more holistic and comprehensive observation scheme. We propose a concept of an integrated research infrastructure, where the feedbacks can be analysed with multidisciplinary and comprehensive observations. The SMEAR concept (Station for Measuring Earth system-Atmosphere Relations) has been developing into a powerful tool, allowing detection of trends in key climate, atmosphere and ecosystem parameters, providing detailed process understanding of atmosphere and ecosystem structure and functions, and facilitating deep insights on feedbacks between the ecosystems and atmosphere. The presentation gives examples of recent novel results, especially in the perspective of climate change feedbacks and mitigation in forest ecosystems.
How to cite: Bäck, J., Petäjä, T., Pihlatie, M., Levula, J., Vesala, T., and Kulmala, M.: An integrated research infrastructure concept with multidisciplinary observations on climate change, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3923, https://doi.org/10.5194/egusphere-egu2020-3923, 2020.
The observations on global warming or elements relevant to climate change are frequently performed in isolation, which results in insufficient understanding of the whole Earth system functioning and feedbacks. Frequently CO2 emissions, atmospheric concentrations of greenhouse gases and the global air temperature records are pooled together to obtain statistical relationships and correlations between them. However, forecasting future changes and designing tools for mitigating their deleterious effects would require a more holistic and comprehensive observation scheme. We propose a concept of an integrated research infrastructure, where the feedbacks can be analysed with multidisciplinary and comprehensive observations. The SMEAR concept (Station for Measuring Earth system-Atmosphere Relations) has been developing into a powerful tool, allowing detection of trends in key climate, atmosphere and ecosystem parameters, providing detailed process understanding of atmosphere and ecosystem structure and functions, and facilitating deep insights on feedbacks between the ecosystems and atmosphere. The presentation gives examples of recent novel results, especially in the perspective of climate change feedbacks and mitigation in forest ecosystems.
How to cite: Bäck, J., Petäjä, T., Pihlatie, M., Levula, J., Vesala, T., and Kulmala, M.: An integrated research infrastructure concept with multidisciplinary observations on climate change, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3923, https://doi.org/10.5194/egusphere-egu2020-3923, 2020.
EGU2020-5558 | Displays | BG2.23
Spatial variability in terrestrial and aquatic carbon stocks and fluxes in boreal forested catchmentsNora Casson, Adrienne Ducharme, Geethani Amarawansha, Geoff Gunn, Scott Higgins, Darshani Kumaragamage, and Udayakantha Vitharana
Canada’s boreal zone is a complex mosaic of forests, wetlands, streams and lakes. The pool of carbon (C) stored in each of these ecosystem components is vast, and significant to the global C balance. However, C pools and fluxes are heterogeneous in time and space, which contributes to uncertainty in predicting how a changing climate will affect the fate of C in these sensitive ecosystems. The objective of this study was to investigate factors controlling spatial variability in soil C stocks and stream C export and assess the sensitivity of these stocks and fluxes to climatic factors. We conducted a detailed examination of soil C stocks and stream dissolved organic C (DOC) export from a 320 ha boreal forested catchment located in northwestern Ontario, Canada. High-frequency stream chemistry and discharge samples were collected from three inflow streams during snowmelt and rain events from 2016-2017. An intensive soil C sampling campaign resulting in 47 surface (0 – 30 cm) samples were collected during the summer of 2019. Stream hysteresis analysis revealed marked differences in flowpaths among sub-catchments during snowmelt and rain events. In the wetland-dominated catchment, near-stream sources contributed most of the DOC export during both rainstorms and snowmelt events, but in upland-dominated catchments, the sources of DOC depended on antecedent moisture conditions. Rainstorms in these catchments following prolonged droughts resulted in DOC flushing from distal regions of the catchment. Soil C stocks were also highly spatially variable, with much of the variability being explained by local-scale factors (e.g. gravel content, soil depth, distance to the nearest ridge). Taken together, these two findings emphasize the need to consider sub-catchment scale variability when calculating C pools and fluxes in boreal catchments. This is also important when predicting how C dynamics will shift in the future as a result of shorter winters, longer droughts and more intense rainstorms.
How to cite: Casson, N., Ducharme, A., Amarawansha, G., Gunn, G., Higgins, S., Kumaragamage, D., and Vitharana, U.: Spatial variability in terrestrial and aquatic carbon stocks and fluxes in boreal forested catchments, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5558, https://doi.org/10.5194/egusphere-egu2020-5558, 2020.
Canada’s boreal zone is a complex mosaic of forests, wetlands, streams and lakes. The pool of carbon (C) stored in each of these ecosystem components is vast, and significant to the global C balance. However, C pools and fluxes are heterogeneous in time and space, which contributes to uncertainty in predicting how a changing climate will affect the fate of C in these sensitive ecosystems. The objective of this study was to investigate factors controlling spatial variability in soil C stocks and stream C export and assess the sensitivity of these stocks and fluxes to climatic factors. We conducted a detailed examination of soil C stocks and stream dissolved organic C (DOC) export from a 320 ha boreal forested catchment located in northwestern Ontario, Canada. High-frequency stream chemistry and discharge samples were collected from three inflow streams during snowmelt and rain events from 2016-2017. An intensive soil C sampling campaign resulting in 47 surface (0 – 30 cm) samples were collected during the summer of 2019. Stream hysteresis analysis revealed marked differences in flowpaths among sub-catchments during snowmelt and rain events. In the wetland-dominated catchment, near-stream sources contributed most of the DOC export during both rainstorms and snowmelt events, but in upland-dominated catchments, the sources of DOC depended on antecedent moisture conditions. Rainstorms in these catchments following prolonged droughts resulted in DOC flushing from distal regions of the catchment. Soil C stocks were also highly spatially variable, with much of the variability being explained by local-scale factors (e.g. gravel content, soil depth, distance to the nearest ridge). Taken together, these two findings emphasize the need to consider sub-catchment scale variability when calculating C pools and fluxes in boreal catchments. This is also important when predicting how C dynamics will shift in the future as a result of shorter winters, longer droughts and more intense rainstorms.
How to cite: Casson, N., Ducharme, A., Amarawansha, G., Gunn, G., Higgins, S., Kumaragamage, D., and Vitharana, U.: Spatial variability in terrestrial and aquatic carbon stocks and fluxes in boreal forested catchments, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5558, https://doi.org/10.5194/egusphere-egu2020-5558, 2020.
EGU2020-6850 | Displays | BG2.23
The decadal decline of CO2 emissions from a large ephemeral lake in ChinaXiaosong Zhao
The influence of natural hydrological factors on CO2 evasion from lakes has been widely studied. However, the long-term effects of man-made hydraulic infrastructures are not yet well understood. Here, we examined the multi-year (1961 - 2016) trend of the CO2 budget for Poyang Lake, a large ephemeral lake in China. Poyang Lake is situated downstream of the Three Gorges Dam (TGD), the world’s largest human-made hydraulic infrastructure. Using a combination of eddy covariance observations and artificial neural network modeling, we show that following the development of TGD in 2003, CO2 emissions of Poyang Lake significantly decreased by 77% (0.18 Tg C) compared with the pre-TGD period. The TGD can explained 21% of the CO2 flux decrease during impoundment period. The results imply that the TGD and other hydropower infrastructures potentially decrease the CO2 emission of lakes naturally connected or surrounded with Yangtze River in the middle and lower reaches.
How to cite: Zhao, X.: The decadal decline of CO2 emissions from a large ephemeral lake in China, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6850, https://doi.org/10.5194/egusphere-egu2020-6850, 2020.
The influence of natural hydrological factors on CO2 evasion from lakes has been widely studied. However, the long-term effects of man-made hydraulic infrastructures are not yet well understood. Here, we examined the multi-year (1961 - 2016) trend of the CO2 budget for Poyang Lake, a large ephemeral lake in China. Poyang Lake is situated downstream of the Three Gorges Dam (TGD), the world’s largest human-made hydraulic infrastructure. Using a combination of eddy covariance observations and artificial neural network modeling, we show that following the development of TGD in 2003, CO2 emissions of Poyang Lake significantly decreased by 77% (0.18 Tg C) compared with the pre-TGD period. The TGD can explained 21% of the CO2 flux decrease during impoundment period. The results imply that the TGD and other hydropower infrastructures potentially decrease the CO2 emission of lakes naturally connected or surrounded with Yangtze River in the middle and lower reaches.
How to cite: Zhao, X.: The decadal decline of CO2 emissions from a large ephemeral lake in China, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6850, https://doi.org/10.5194/egusphere-egu2020-6850, 2020.
EGU2020-7684 | Displays | BG2.23
The missing pieces for better future predictions in subarctic ecosystemsDidac Pascual Descarrega and the Expert Assessment participants
Arctic and subarctic ecosystems are undergoing substantial changes in response to climatic and other anthropogenic drivers, and these changes are likely to continue over this Century. Due to the strong linkages between the biotic (vegetation and carbon cycle) and abiotic (permafrost, hydrology and local climate) ecosystem components, the total magnitude of these changes result from multiple interacting effects that can enhance or counter the direct effects. In some cases, short-lived extreme events can override climate-driven long-term trends. The field measurements can mostly tackle individual drivers rather than the interactions between them. Currently, a comprehensive assessment of the drivers of different changes and the magnitude of their impact on subarctic ecosystems is missing. The Torneträsk area, in the Swedish subarctic, has an unrivalled history of environmental observation over 100 years and encompasses the 12% of all published papers and the 19% of all study citations across the Arctic. In this study, we summarize and rank the direct and indirect drivers of ecosystem change in the Torneträsk area, and propose future research priorities identified to improve future predictions of ecosystem change. First, we identified the direct and indirect changing drivers and the multiple related processes and feedbacks impacting the local climate, permafrost, hydrology, vegetation, and the carbon cycle based on the existing literature. Subsequently, an Expert Elicitation with the participation of 27 leading scientists was used to rank the short- (2020-2040) and long-term (2040-2100) future impact of these drivers according to their opinions on the relative importance and novelty. These two key evaluation matrices form the basis for identifying the current research priorities for subarctic regions. The relatively small size of the Torneträsk area, its great biological and geomorphological complexity, and its unique datasets is a microcosm of the subarctic and the rapidly transforming Arctic ecosystems that can help understand the ongoing processes and future ecosystem changes at a larger circumpolar-scale. This in turn will provide the basis for future mitigation and adaptation plans needed in a changing climate.
How to cite: Pascual Descarrega, D. and the Expert Assessment participants: The missing pieces for better future predictions in subarctic ecosystems, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7684, https://doi.org/10.5194/egusphere-egu2020-7684, 2020.
Arctic and subarctic ecosystems are undergoing substantial changes in response to climatic and other anthropogenic drivers, and these changes are likely to continue over this Century. Due to the strong linkages between the biotic (vegetation and carbon cycle) and abiotic (permafrost, hydrology and local climate) ecosystem components, the total magnitude of these changes result from multiple interacting effects that can enhance or counter the direct effects. In some cases, short-lived extreme events can override climate-driven long-term trends. The field measurements can mostly tackle individual drivers rather than the interactions between them. Currently, a comprehensive assessment of the drivers of different changes and the magnitude of their impact on subarctic ecosystems is missing. The Torneträsk area, in the Swedish subarctic, has an unrivalled history of environmental observation over 100 years and encompasses the 12% of all published papers and the 19% of all study citations across the Arctic. In this study, we summarize and rank the direct and indirect drivers of ecosystem change in the Torneträsk area, and propose future research priorities identified to improve future predictions of ecosystem change. First, we identified the direct and indirect changing drivers and the multiple related processes and feedbacks impacting the local climate, permafrost, hydrology, vegetation, and the carbon cycle based on the existing literature. Subsequently, an Expert Elicitation with the participation of 27 leading scientists was used to rank the short- (2020-2040) and long-term (2040-2100) future impact of these drivers according to their opinions on the relative importance and novelty. These two key evaluation matrices form the basis for identifying the current research priorities for subarctic regions. The relatively small size of the Torneträsk area, its great biological and geomorphological complexity, and its unique datasets is a microcosm of the subarctic and the rapidly transforming Arctic ecosystems that can help understand the ongoing processes and future ecosystem changes at a larger circumpolar-scale. This in turn will provide the basis for future mitigation and adaptation plans needed in a changing climate.
How to cite: Pascual Descarrega, D. and the Expert Assessment participants: The missing pieces for better future predictions in subarctic ecosystems, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7684, https://doi.org/10.5194/egusphere-egu2020-7684, 2020.
EGU2020-8444 | Displays | BG2.23
Penguin Life Observatories to monitor the health of the Southern Ocean ecosystemsCéline Le Bohec, Victor Planas-Bielsa, Emiliano Trucchi, Aymeric Houstin, Robin Cristofari, Norith Eckbo, Ben Fabry, Yvon Le Maho, Alexander Winterl, Sebastian Richter, Olaf Eisen, and Daniel Zitterbart
Long-term time series are essential to detect, understand and predict the impacts of anthropogenic pressures on ecosystems. This applies to both physical and biological data collections. However, systematic data collections on the biological component of the ecosystems are still scarce compared to Earth sciences, and biological time series are usually not sufficiently long to draw unambiguous inferences concerning trends. To fill this gap and assess the vulnerability of Antarctic and subantarctic ecosystems, but also develop tools for action plans to protect Southern Ocean, we aim (and already started) to setup a circumpolar network of Penguin Life Observatories. These upper-trophic-level seabirds can be considered as adequate bio-indicators of changes (due to e.g. climate change, overexploitation or pollution) occurring in the Southern Ocean food webs and ecosystems globally. Implementing cutting-edge technological innovations (e.g. automatic radiofrequency identification (RFID), weighing and camera-tracking systems, mobile RFID antennas deployable on site or mounted on remote-operated vehicles and biologgers), electronic Penguin Life Observatories gather information on land to assess population dynamics/trends, and at sea to explore their seasonal and inter-annual distribution and foraging strategies according to the environmental variability. In addition to increasing our knowledge on fundamental characteristics of these sentinel species, penguins play an important role as umbrella species, which offer us precious tools to map marine biological hotspots and design Marine Protected Areas (MPAs).
How to cite: Le Bohec, C., Planas-Bielsa, V., Trucchi, E., Houstin, A., Cristofari, R., Eckbo, N., Fabry, B., Le Maho, Y., Winterl, A., Richter, S., Eisen, O., and Zitterbart, D.: Penguin Life Observatories to monitor the health of the Southern Ocean ecosystems, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8444, https://doi.org/10.5194/egusphere-egu2020-8444, 2020.
Long-term time series are essential to detect, understand and predict the impacts of anthropogenic pressures on ecosystems. This applies to both physical and biological data collections. However, systematic data collections on the biological component of the ecosystems are still scarce compared to Earth sciences, and biological time series are usually not sufficiently long to draw unambiguous inferences concerning trends. To fill this gap and assess the vulnerability of Antarctic and subantarctic ecosystems, but also develop tools for action plans to protect Southern Ocean, we aim (and already started) to setup a circumpolar network of Penguin Life Observatories. These upper-trophic-level seabirds can be considered as adequate bio-indicators of changes (due to e.g. climate change, overexploitation or pollution) occurring in the Southern Ocean food webs and ecosystems globally. Implementing cutting-edge technological innovations (e.g. automatic radiofrequency identification (RFID), weighing and camera-tracking systems, mobile RFID antennas deployable on site or mounted on remote-operated vehicles and biologgers), electronic Penguin Life Observatories gather information on land to assess population dynamics/trends, and at sea to explore their seasonal and inter-annual distribution and foraging strategies according to the environmental variability. In addition to increasing our knowledge on fundamental characteristics of these sentinel species, penguins play an important role as umbrella species, which offer us precious tools to map marine biological hotspots and design Marine Protected Areas (MPAs).
How to cite: Le Bohec, C., Planas-Bielsa, V., Trucchi, E., Houstin, A., Cristofari, R., Eckbo, N., Fabry, B., Le Maho, Y., Winterl, A., Richter, S., Eisen, O., and Zitterbart, D.: Penguin Life Observatories to monitor the health of the Southern Ocean ecosystems, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8444, https://doi.org/10.5194/egusphere-egu2020-8444, 2020.
EGU2020-8737 | Displays | BG2.23
Links between spring snow cover and long-term alpine vegetation changeShengwei Zong and Christian Rixen
Snow is an important environmental factor determining distributions of plant species in alpine ecosystems. During the past decades, climate warming has resulted in significant reduction of snow cover extent globally, which led to remarkable alpine vegetation change. Alpine vegetation change is often caused by the combined effects of increasing air temperature and snow cover change, yet the relationship between snow cover and vegetation change is currently not fully understood. To detect changes in both snow cover and alpine vegetation, a relatively fine spatial scales over long temporal spans is necessary. In this study in alpine tundra of the Changbai Mountains, Northeast China, we (1) quantified spatiotemporal changes of spring snow cover area (SCA) during half a century by using multi-source remote sensing datasets; (2) detected long-term vegetation greening and browning trends at pixel level using Landsat archives of 30 m resolution, and (3) analyzed the relationship between spring SCA change and vegetation change. Results showed that spring SCA has decreased significantly during the last 50 years in line with climate warming. Changes in vegetation greening and browning trend were related to distributional range dynamics of a dominant indigenous evergreen shrub Rhododendron aureum, which extended at the leading edge and retracted at the trailing edge. Changes in R. aureum distribution were probably related to spring snow cover changes. Areas with decreasing R. aureum cover were often located in snow patches where probably herbs and grasses encroached from low elevations and adjacent communities. Our study highlights that spring SCA derived from multi-source remote sensing imagery can be used as a proxy to explore relationship between snow cover and vegetation change in alpine ecosystems. Alpine indigenous plant species may migrate upward following the reduction of snow-dominated environments in the context of climate warming and could be threatened by encroaching plants within snow bed habitats.
How to cite: Zong, S. and Rixen, C.: Links between spring snow cover and long-term alpine vegetation change, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8737, https://doi.org/10.5194/egusphere-egu2020-8737, 2020.
Snow is an important environmental factor determining distributions of plant species in alpine ecosystems. During the past decades, climate warming has resulted in significant reduction of snow cover extent globally, which led to remarkable alpine vegetation change. Alpine vegetation change is often caused by the combined effects of increasing air temperature and snow cover change, yet the relationship between snow cover and vegetation change is currently not fully understood. To detect changes in both snow cover and alpine vegetation, a relatively fine spatial scales over long temporal spans is necessary. In this study in alpine tundra of the Changbai Mountains, Northeast China, we (1) quantified spatiotemporal changes of spring snow cover area (SCA) during half a century by using multi-source remote sensing datasets; (2) detected long-term vegetation greening and browning trends at pixel level using Landsat archives of 30 m resolution, and (3) analyzed the relationship between spring SCA change and vegetation change. Results showed that spring SCA has decreased significantly during the last 50 years in line with climate warming. Changes in vegetation greening and browning trend were related to distributional range dynamics of a dominant indigenous evergreen shrub Rhododendron aureum, which extended at the leading edge and retracted at the trailing edge. Changes in R. aureum distribution were probably related to spring snow cover changes. Areas with decreasing R. aureum cover were often located in snow patches where probably herbs and grasses encroached from low elevations and adjacent communities. Our study highlights that spring SCA derived from multi-source remote sensing imagery can be used as a proxy to explore relationship between snow cover and vegetation change in alpine ecosystems. Alpine indigenous plant species may migrate upward following the reduction of snow-dominated environments in the context of climate warming and could be threatened by encroaching plants within snow bed habitats.
How to cite: Zong, S. and Rixen, C.: Links between spring snow cover and long-term alpine vegetation change, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8737, https://doi.org/10.5194/egusphere-egu2020-8737, 2020.
EGU2020-9839 | Displays | BG2.23
SYSTEMLINK - a new project on the effects of stressors across ecosystem barriersJohanna Girardi, Ralf Schulz, Mirco Bundschuh, Martin H. Entling, Eva Kröner, Andreas Lorke, Ralf B. Schäfer, Gabriele E. Schaumann, Klaus Schwenk, and Hermann F. Jungkunst
The propagation of environmental stressors from water (source) to land (sink) in aquatic-terrestrial meta-ecosystems, has not been intensively investigated. The other way around has been in the focus of linking terrestrial and aquatic domains. To start bridging that gap, SYSTEMLINK, a DFG Research Training Group, addresses the bottom-up and top-down mediated interactions in terrestrial ecosystems, which origin from anthropogenic impairments on aquatic ecosystems. Micropollutants (fungicides and insecticides) as well as invasive species (riparian plants and invertebrates) are considered as crucial forms of multiple stressors in disturbed aquatic ecosystems. SYSTEMLINK will examine the general hypotheses that 1) invasive invertebrates and insecticide exposure and 2) invasive riparian plants and fungicide exposure cause top-down and bottom-up mediated responses in terrestrial ecosystems, respectively. Collaborative experiments in replicated outdoor aquatic-terrestrial mesocosms (site-scale) amended by joint pot experiments (batch-scale), field studies (landscape-scale), and modelling are used to test these general and several more specific hypotheses. The experimental setups will all represent a multi-stress environment and will be derived from the landscape scale. The regular combination of several scales will allow to overcome scale-specific limitations and to ensure both cause-effect quantification and the environmental relevance of the results. Ultimately, SYSTEMLINK thrives to increase our knowledge on effect translation across ecosystem boundaries. By combining biological subsidies and biogeochemical fluxes we will be able to quantify their relative importance. Furthermore, we will closely incorporate the often separated aquatic and terrestrial research areas.
How to cite: Girardi, J., Schulz, R., Bundschuh, M., Entling, M. H., Kröner, E., Lorke, A., Schäfer, R. B., Schaumann, G. E., Schwenk, K., and Jungkunst, H. F.: SYSTEMLINK - a new project on the effects of stressors across ecosystem barriers, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9839, https://doi.org/10.5194/egusphere-egu2020-9839, 2020.
The propagation of environmental stressors from water (source) to land (sink) in aquatic-terrestrial meta-ecosystems, has not been intensively investigated. The other way around has been in the focus of linking terrestrial and aquatic domains. To start bridging that gap, SYSTEMLINK, a DFG Research Training Group, addresses the bottom-up and top-down mediated interactions in terrestrial ecosystems, which origin from anthropogenic impairments on aquatic ecosystems. Micropollutants (fungicides and insecticides) as well as invasive species (riparian plants and invertebrates) are considered as crucial forms of multiple stressors in disturbed aquatic ecosystems. SYSTEMLINK will examine the general hypotheses that 1) invasive invertebrates and insecticide exposure and 2) invasive riparian plants and fungicide exposure cause top-down and bottom-up mediated responses in terrestrial ecosystems, respectively. Collaborative experiments in replicated outdoor aquatic-terrestrial mesocosms (site-scale) amended by joint pot experiments (batch-scale), field studies (landscape-scale), and modelling are used to test these general and several more specific hypotheses. The experimental setups will all represent a multi-stress environment and will be derived from the landscape scale. The regular combination of several scales will allow to overcome scale-specific limitations and to ensure both cause-effect quantification and the environmental relevance of the results. Ultimately, SYSTEMLINK thrives to increase our knowledge on effect translation across ecosystem boundaries. By combining biological subsidies and biogeochemical fluxes we will be able to quantify their relative importance. Furthermore, we will closely incorporate the often separated aquatic and terrestrial research areas.
How to cite: Girardi, J., Schulz, R., Bundschuh, M., Entling, M. H., Kröner, E., Lorke, A., Schäfer, R. B., Schaumann, G. E., Schwenk, K., and Jungkunst, H. F.: SYSTEMLINK - a new project on the effects of stressors across ecosystem barriers, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9839, https://doi.org/10.5194/egusphere-egu2020-9839, 2020.
EGU2020-16136 | Displays | BG2.23
The handbook for standardized field and laboratory measurements in terrestrial climate change experiments and observational studies (ClimEx)Aud Halbritter, Hans De Boeck, and Vigdis Vandvik and the Amy E. Eycott Sabine Reinsch David A. Robinson Sara Vicca Bernd Berauer Casper T. Christiansen Marc Estiarte José M. Grünzweig Ragnhild Gya Karin Hansen Anke Jentsch Hanna Lee Sune Linder John Marshall Josep Peñuelas Inger Kappel Schmidt E
Climate change is a world‐wide threat to biodiversity and ecosystem structure, functioning and services. To understand the underlying drivers and mechanisms, and to predict the consequences for nature and people, we urgently need better understanding of the direction and magnitude of climate change impacts across the soil–plant–atmosphere continuum. An increasing number of climate change studies are creating new opportunities for meaningful and high‐quality generalizations and improved process understanding. However, significant challenges exist related to data availability and/or compatibility across studies, compromising opportunities for data re‐use, synthesis and upscaling. Many of these challenges relate to a lack of an established ‘best practice’ for measuring key impacts and responses. This restrains our current understanding of complex processes and mechanisms in terrestrial ecosystems related to climate change.
To overcome these challenges, we collected best‐practice methods emerging from major ecological research networks and experiments, as synthesized by 115 experts from across a wide range of scientific disciplines. Our handbook contains guidance on the selection of response variables for different purposes, protocols for standardized measurements of 66 such response variables and advice on data management. Specifically, we recommend a minimum subset of variables that should be collected in all climate change studies to allow data re‐use and synthesis, and give guidance on additional variables critical for different types of synthesis and upscaling. The protocols are also available online on the ClimEx handbook webpage (https://climexhandbook.w.uib.no/) and we encourage scientists from the climate change research community to get involved, give us feedback and make suggestions for updates to specific protocols. We hope that this is a way to amend the protocols and extend the shelf life of the ClimEx Handbook.
The goal of this community effort is to facilitate awareness of the importance and broader application of standardized methods to promote data re‐use, availability, compatibility and transparency. We envision improved research practices that will increase returns on investments in individual research projects, facilitate second‐order research outputs and create opportunities for collaboration across scientific communities. Ultimately, this should significantly improve the quality and impact of the science, which is required to fulfil society's needs in a changing world.
How to cite: Halbritter, A., De Boeck, H., and Vandvik, V. and the Amy E. Eycott Sabine Reinsch David A. Robinson Sara Vicca Bernd Berauer Casper T. Christiansen Marc Estiarte José M. Grünzweig Ragnhild Gya Karin Hansen Anke Jentsch Hanna Lee Sune Linder John Marshall Josep Peñuelas Inger Kappel Schmidt E: The handbook for standardized field and laboratory measurements in terrestrial climate change experiments and observational studies (ClimEx), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-16136, https://doi.org/10.5194/egusphere-egu2020-16136, 2020.
Climate change is a world‐wide threat to biodiversity and ecosystem structure, functioning and services. To understand the underlying drivers and mechanisms, and to predict the consequences for nature and people, we urgently need better understanding of the direction and magnitude of climate change impacts across the soil–plant–atmosphere continuum. An increasing number of climate change studies are creating new opportunities for meaningful and high‐quality generalizations and improved process understanding. However, significant challenges exist related to data availability and/or compatibility across studies, compromising opportunities for data re‐use, synthesis and upscaling. Many of these challenges relate to a lack of an established ‘best practice’ for measuring key impacts and responses. This restrains our current understanding of complex processes and mechanisms in terrestrial ecosystems related to climate change.
To overcome these challenges, we collected best‐practice methods emerging from major ecological research networks and experiments, as synthesized by 115 experts from across a wide range of scientific disciplines. Our handbook contains guidance on the selection of response variables for different purposes, protocols for standardized measurements of 66 such response variables and advice on data management. Specifically, we recommend a minimum subset of variables that should be collected in all climate change studies to allow data re‐use and synthesis, and give guidance on additional variables critical for different types of synthesis and upscaling. The protocols are also available online on the ClimEx handbook webpage (https://climexhandbook.w.uib.no/) and we encourage scientists from the climate change research community to get involved, give us feedback and make suggestions for updates to specific protocols. We hope that this is a way to amend the protocols and extend the shelf life of the ClimEx Handbook.
The goal of this community effort is to facilitate awareness of the importance and broader application of standardized methods to promote data re‐use, availability, compatibility and transparency. We envision improved research practices that will increase returns on investments in individual research projects, facilitate second‐order research outputs and create opportunities for collaboration across scientific communities. Ultimately, this should significantly improve the quality and impact of the science, which is required to fulfil society's needs in a changing world.
How to cite: Halbritter, A., De Boeck, H., and Vandvik, V. and the Amy E. Eycott Sabine Reinsch David A. Robinson Sara Vicca Bernd Berauer Casper T. Christiansen Marc Estiarte José M. Grünzweig Ragnhild Gya Karin Hansen Anke Jentsch Hanna Lee Sune Linder John Marshall Josep Peñuelas Inger Kappel Schmidt E: The handbook for standardized field and laboratory measurements in terrestrial climate change experiments and observational studies (ClimEx), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-16136, https://doi.org/10.5194/egusphere-egu2020-16136, 2020.
EGU2020-16543 | Displays | BG2.23
Assessing the response of forest productivity to climate extremes in Switzerland using model-data fusionVolodymyr Trotsiuk and the QUPFiS team
Under unprecedent climate change and increased frequency of extreme events, e.g. drought, it is important to assess and forecast forest ecosystem vulnerability and stability. Large volumes of data from observational and experimental networks, increases in computational power, advances in ecological models, and optimization methodologies are the main measures to improve quantitative forecasting in ecology. Data assimilation is a key tool to improve ecosystem state prediction and forecasting by combining model simulations and observations. We assimilated observations of carbon stocks and fluxes from 271 permanent long-term forest monitoring plots across Switzerland into the 3-PG forest ecosystem model using Bayesian inference, reducing the bias of model predictions from 14% to 5% for forest stem carbon stocks and from 45% to 9% for stem carbon stock changes, respectively. We then estimated the productivity of forests dominated by Picea abies and Fagus sylvatica for the period of 1960-2018 and tested for climate-induced shifts in productivity along elevational gradient and in extreme years. Overall, we demonstrated a high potential of using data assimilation to improve predictions of forest ecosystem productivity. Furthermore, our calibrated model simulations suggest that climate extremes affect forest productivity in more complex ways than by simply shifting the response upwards in elevation.
How to cite: Trotsiuk, V. and the QUPFiS team: Assessing the response of forest productivity to climate extremes in Switzerland using model-data fusion, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-16543, https://doi.org/10.5194/egusphere-egu2020-16543, 2020.
Under unprecedent climate change and increased frequency of extreme events, e.g. drought, it is important to assess and forecast forest ecosystem vulnerability and stability. Large volumes of data from observational and experimental networks, increases in computational power, advances in ecological models, and optimization methodologies are the main measures to improve quantitative forecasting in ecology. Data assimilation is a key tool to improve ecosystem state prediction and forecasting by combining model simulations and observations. We assimilated observations of carbon stocks and fluxes from 271 permanent long-term forest monitoring plots across Switzerland into the 3-PG forest ecosystem model using Bayesian inference, reducing the bias of model predictions from 14% to 5% for forest stem carbon stocks and from 45% to 9% for stem carbon stock changes, respectively. We then estimated the productivity of forests dominated by Picea abies and Fagus sylvatica for the period of 1960-2018 and tested for climate-induced shifts in productivity along elevational gradient and in extreme years. Overall, we demonstrated a high potential of using data assimilation to improve predictions of forest ecosystem productivity. Furthermore, our calibrated model simulations suggest that climate extremes affect forest productivity in more complex ways than by simply shifting the response upwards in elevation.
How to cite: Trotsiuk, V. and the QUPFiS team: Assessing the response of forest productivity to climate extremes in Switzerland using model-data fusion, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-16543, https://doi.org/10.5194/egusphere-egu2020-16543, 2020.
EGU2020-18377 | Displays | BG2.23
Copernicus Sectoral Information System for the Biodiversity SectorKoen De Ridder, Filip Lefebre, Eline Vanuytrecht, Julie Berckmans, and Hendrik Wouters
Biodiversity is increasingly under pressure from climate change, which affects the habitat suitability for species as well as the efficiency of ecosystem services. Management of these issues, for instance through ecosystem restoration or species dispersal measures, is often hindered by a lack of appropriate information about (future) climate conditions. To address this, an operational Sectoral Information System (SIS) for the Biodiversity sector (SIS Biodiversity) is designed within the Copernicus programme Climate Change Service (C3S). This new SIS provides tailored bio-climatic indicators and applications, and delivers novel evidence regarding impacts of past, present and future climate. As such, it provides support to decision making challenges that are currently facing unmet climate data needs.
The new climate service for SIS Biodiversity will be demonstrated, including the outline, workflow and outcomes of the use cases. The service is built upon the Copernicus Data Store platform (CDS; ), and takes into account (1) the barriers in ongoing bio-climate assessments and (2) the user requirements of diverse stakeholders (e.g. researcher institutes, local NGO’s, the International Union for Conservation of Nature and Natural Resources (IUCN),…). These have been collected during workshops and bilateral meetings in 2019. A common barrier is the lack of reliable and high-resolution information about states and dynamics of the soil, sea, ice and air for the past and the future climate. Therefore, the service provides relevant bio-climatic indicators on the basis of a wealth of available variables from the latest ERA5 reanalysis datasets and the CMIP5 global climate projections available in CDS. In order to provide information at high resolution and minimize inconsistencies between observed and modelled variables, different downscaling and bias-correction techniques are applied. A common requirement is a universal and flexible interface to the bio-climatic indicators in an easy-to-use and coherent platform that is applicable for different fauna and flora species of interest. Therefore, different applications have been developed within CDS for generating bio-climate suitability envelopes from the high-resolution indicators and to evaluate climate suitability and impacts for the species under present and future climate. Finally, the service is currently tested and refined on the basis of specific use cases. Special attention is given to their transferability to other global and topical studies, hence maximizing external user uptake throughout existing research and policy networks.
How to cite: De Ridder, K., Lefebre, F., Vanuytrecht, E., Berckmans, J., and Wouters, H.: Copernicus Sectoral Information System for the Biodiversity Sector , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18377, https://doi.org/10.5194/egusphere-egu2020-18377, 2020.
Biodiversity is increasingly under pressure from climate change, which affects the habitat suitability for species as well as the efficiency of ecosystem services. Management of these issues, for instance through ecosystem restoration or species dispersal measures, is often hindered by a lack of appropriate information about (future) climate conditions. To address this, an operational Sectoral Information System (SIS) for the Biodiversity sector (SIS Biodiversity) is designed within the Copernicus programme Climate Change Service (C3S). This new SIS provides tailored bio-climatic indicators and applications, and delivers novel evidence regarding impacts of past, present and future climate. As such, it provides support to decision making challenges that are currently facing unmet climate data needs.
The new climate service for SIS Biodiversity will be demonstrated, including the outline, workflow and outcomes of the use cases. The service is built upon the Copernicus Data Store platform (CDS; ), and takes into account (1) the barriers in ongoing bio-climate assessments and (2) the user requirements of diverse stakeholders (e.g. researcher institutes, local NGO’s, the International Union for Conservation of Nature and Natural Resources (IUCN),…). These have been collected during workshops and bilateral meetings in 2019. A common barrier is the lack of reliable and high-resolution information about states and dynamics of the soil, sea, ice and air for the past and the future climate. Therefore, the service provides relevant bio-climatic indicators on the basis of a wealth of available variables from the latest ERA5 reanalysis datasets and the CMIP5 global climate projections available in CDS. In order to provide information at high resolution and minimize inconsistencies between observed and modelled variables, different downscaling and bias-correction techniques are applied. A common requirement is a universal and flexible interface to the bio-climatic indicators in an easy-to-use and coherent platform that is applicable for different fauna and flora species of interest. Therefore, different applications have been developed within CDS for generating bio-climate suitability envelopes from the high-resolution indicators and to evaluate climate suitability and impacts for the species under present and future climate. Finally, the service is currently tested and refined on the basis of specific use cases. Special attention is given to their transferability to other global and topical studies, hence maximizing external user uptake throughout existing research and policy networks.
How to cite: De Ridder, K., Lefebre, F., Vanuytrecht, E., Berckmans, J., and Wouters, H.: Copernicus Sectoral Information System for the Biodiversity Sector , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18377, https://doi.org/10.5194/egusphere-egu2020-18377, 2020.
EGU2020-18673 | Displays | BG2.23
Whole system Approach for In-situ & Long-term environmental System research on life supporting systems (WAILS)Michael Mirtl
Environmental research is challenged by the question, how lilfe supporting systems (ecosystems, the critical zone) and their services will develop in the next decades. However, addressing changes in structure and function requires an integrated approach from the subsurface to the vegetation and atmosphere, across scales and ecosystems, and combining observation, ecosystem theories and modelling. Such integrated approach affects most aspects of how environmental research and monitoring are shaped, comprising seamless collaborations amongst involved disciplines, the interactions of actual research with other stakeholders, research insfrastructure design and operation and – as a key factor – the structures and rulesets of related funding mechanisms.
A common conceptual framework is highly relevant for catalyzing integration efforts and implementing complementary modules of research infrastructures serving various user groups and disciplines towards a fundamental understanding and improved predictions of how structure and functions of ecosystems and ecosystem services will evolve and adapt under global change, with climate change, land use and societal change as key drivers.
Triggered by the challenge to streamline the ecoystem, critical zone and socio-ecological reasearch infrastructure at the Pan-European level in close collaboration with other ongoing European environmental RIs like ICOS and LifeWatch, the eLTER Research Infrastructure (RI) therefore strives for a Whole system Approach for In-situ & Long-term environmental System research on life supporting systems (WAILS), combining humans-environment interactions at a given scale and cross-scale interactions and feed-back loops across scales, which will be presented.
How to cite: Mirtl, M.: Whole system Approach for In-situ & Long-term environmental System research on life supporting systems (WAILS), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18673, https://doi.org/10.5194/egusphere-egu2020-18673, 2020.
Environmental research is challenged by the question, how lilfe supporting systems (ecosystems, the critical zone) and their services will develop in the next decades. However, addressing changes in structure and function requires an integrated approach from the subsurface to the vegetation and atmosphere, across scales and ecosystems, and combining observation, ecosystem theories and modelling. Such integrated approach affects most aspects of how environmental research and monitoring are shaped, comprising seamless collaborations amongst involved disciplines, the interactions of actual research with other stakeholders, research insfrastructure design and operation and – as a key factor – the structures and rulesets of related funding mechanisms.
A common conceptual framework is highly relevant for catalyzing integration efforts and implementing complementary modules of research infrastructures serving various user groups and disciplines towards a fundamental understanding and improved predictions of how structure and functions of ecosystems and ecosystem services will evolve and adapt under global change, with climate change, land use and societal change as key drivers.
Triggered by the challenge to streamline the ecoystem, critical zone and socio-ecological reasearch infrastructure at the Pan-European level in close collaboration with other ongoing European environmental RIs like ICOS and LifeWatch, the eLTER Research Infrastructure (RI) therefore strives for a Whole system Approach for In-situ & Long-term environmental System research on life supporting systems (WAILS), combining humans-environment interactions at a given scale and cross-scale interactions and feed-back loops across scales, which will be presented.
How to cite: Mirtl, M.: Whole system Approach for In-situ & Long-term environmental System research on life supporting systems (WAILS), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18673, https://doi.org/10.5194/egusphere-egu2020-18673, 2020.
EGU2020-19137 | Displays | BG2.23
Soil organic carbon decomposition rates in river systems: effect of experimental conditionsMan Zhao, Liesbet Jacobs, Steven Bouillon, and Gerard Govers
Rivers receive large amounts of terrestrial soil organic carbon (SOC) and transport them from land to the ocean. Mounting evidence indicates that a large fraction of the eroded SOC, which is often very old, is quickly decomposed upon entering the river and never reaches the ocean. The mechanisms explaining this rapid decomposition of previously stable SOC remain unclear. In this study, we investigated the relative importance of two mechanisms possibly explaining this rapid SOC decomposition: (i) in the river water SOC is exposed to a different microbial community which is able to metabolise SOC much more quickly than the soil microbial community and (ii) SOC decomposition in rivers is facilitated due to the hydrodynamic disturbance of sediment. We performed different series of short-term (168h) incubations quantifying the rates of SOC decomposition in an aquatic system under controlled conditions. Organic carbon decomposition was measured continuously through monitoring dissolved O2 concentration using a fiber-optic meter (FirestingO2, PyroScience). In the control treatment, bottles of 320 ml of river water sampled from Dijle river (Leuven, Belgium) were used, without headspace, under dark conditions in a temperature-controlled room (20℃). In a second treatment, soil material was added to river water filtered at 0.2 um to remove aquatic micro-organisms (MO) (SOC-MO treatment). The effect of the presence of an aquatic microbial community on SOC decomposition was simulated by adding an inoculum of unfiltered river water to a bottle containing the same soil material (SOC+MO treatment). Secondly, we investigated the effect of water motion on respiration rates by simulating the hydrodynamic disturbance of soil particles using a swing system to keep particles suspended in the water. All treatments described above were conducted under both standing- and shaking conditions. Each experiment was repeated six times and two types of soil were tested: one from arable land (sandy loam, 2.4%OC), and the other from a temperate forest site (sandy loam, 5.0%OC). Our result show that SOC indeed further mineralized in a riverine environment. Under both shaking and standing conditions, we found a significant difference between SOC-MO and SOC+MO treatments (paired t-tests, p<0.05), indicating that the presence of an aquatic microbial community enhanced the SOC decomposition process by 94%-131% depending on the soil type and shaking/standing conditions. In contrast, the effect of hydrodynamic disturbance was much less evident. When comparing SOC+MO at shaking vs. standing conditions for soil from arable land, SOC decomposition was increased by 13% at shaking condition (p<0.05) while no significant effect was found for forest soil (p>0.05). While some recent studies suggested that aquatic respiration rates may have been substantially underestimated by performing measurement under stationary conditions, our results indicate that this effect is relatively minor, at least under the temperature conditions and for the suspended matter concentration range (500 mg/L arable land soil; 200 mg/L forest soil) used in our experiments.
How to cite: Zhao, M., Jacobs, L., Bouillon, S., and Govers, G.: Soil organic carbon decomposition rates in river systems: effect of experimental conditions , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19137, https://doi.org/10.5194/egusphere-egu2020-19137, 2020.
Rivers receive large amounts of terrestrial soil organic carbon (SOC) and transport them from land to the ocean. Mounting evidence indicates that a large fraction of the eroded SOC, which is often very old, is quickly decomposed upon entering the river and never reaches the ocean. The mechanisms explaining this rapid decomposition of previously stable SOC remain unclear. In this study, we investigated the relative importance of two mechanisms possibly explaining this rapid SOC decomposition: (i) in the river water SOC is exposed to a different microbial community which is able to metabolise SOC much more quickly than the soil microbial community and (ii) SOC decomposition in rivers is facilitated due to the hydrodynamic disturbance of sediment. We performed different series of short-term (168h) incubations quantifying the rates of SOC decomposition in an aquatic system under controlled conditions. Organic carbon decomposition was measured continuously through monitoring dissolved O2 concentration using a fiber-optic meter (FirestingO2, PyroScience). In the control treatment, bottles of 320 ml of river water sampled from Dijle river (Leuven, Belgium) were used, without headspace, under dark conditions in a temperature-controlled room (20℃). In a second treatment, soil material was added to river water filtered at 0.2 um to remove aquatic micro-organisms (MO) (SOC-MO treatment). The effect of the presence of an aquatic microbial community on SOC decomposition was simulated by adding an inoculum of unfiltered river water to a bottle containing the same soil material (SOC+MO treatment). Secondly, we investigated the effect of water motion on respiration rates by simulating the hydrodynamic disturbance of soil particles using a swing system to keep particles suspended in the water. All treatments described above were conducted under both standing- and shaking conditions. Each experiment was repeated six times and two types of soil were tested: one from arable land (sandy loam, 2.4%OC), and the other from a temperate forest site (sandy loam, 5.0%OC). Our result show that SOC indeed further mineralized in a riverine environment. Under both shaking and standing conditions, we found a significant difference between SOC-MO and SOC+MO treatments (paired t-tests, p<0.05), indicating that the presence of an aquatic microbial community enhanced the SOC decomposition process by 94%-131% depending on the soil type and shaking/standing conditions. In contrast, the effect of hydrodynamic disturbance was much less evident. When comparing SOC+MO at shaking vs. standing conditions for soil from arable land, SOC decomposition was increased by 13% at shaking condition (p<0.05) while no significant effect was found for forest soil (p>0.05). While some recent studies suggested that aquatic respiration rates may have been substantially underestimated by performing measurement under stationary conditions, our results indicate that this effect is relatively minor, at least under the temperature conditions and for the suspended matter concentration range (500 mg/L arable land soil; 200 mg/L forest soil) used in our experiments.
How to cite: Zhao, M., Jacobs, L., Bouillon, S., and Govers, G.: Soil organic carbon decomposition rates in river systems: effect of experimental conditions , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19137, https://doi.org/10.5194/egusphere-egu2020-19137, 2020.
EGU2020-19864 | Displays | BG2.23
Towards Resolving Spatial and Temporal Greenhouse Gas Dynamics across a Heterogeneous Arctic Tundra Landscape in the Western Canadian ArcticCarolina Voigt, Gabriel Hould Gosselin, Andrew Black, Charles Chevrier-Dion, Charlotte Marquis, Zoran Nesic, Taija Saarela, Evan Wilcox, Philip Marsh, and Oliver Sonnentag
The Arctic is currently warming faster than the rest of the world. Warming and associated permafrost thaw in Arctic landscapes may mobilize large pools of carbon (C) and nitrogen (N) and ultimately increase the atmospheric burden of the greenhouse gases (GHGs) carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O). Arctic GHG dynamics and their environmental and hydrological controls are poorly understood. Whether Arctic landscapes act as a net GHG source or sink depends on the complex and spatially varying interactions between hydrology, active layer thickness, topography, temperature, vegetation, substrate availability and microbial dynamics.
Our study site, Trail Valley Creek (68°44’ N, 133°29’ W), is an upland tundra site characterized by small-scale (<10 m) land cover and soil type (mineral and organic) heterogeneity consisting of different land cover types: shrub, tussock and lichen patches, polygonal tundra and thermokarst-affected areas, wetlands, lakes, and streams. To understand the large spatial and temporal variability of GHG dynamics across these terrestrial and aquatic landcover types we use a nested observational approach at plot- (<1 m2), ecosystem- (~10 m2), landscape- (~100 m2) and regional (~50 km2) scale. Existing (since 2013) ecosystem-scale eddy covariance (EC) measurements of net CO2 and CH4 exchanges are complemented with landscape-scale EC measurements and plot-scale automated and manual chamber measurements within the EC tower footprint and beyond. To increase process-based understanding we complement these multi-scale GHG flux observations with a wide array of auxiliary measurements including soil profile dynamics of CO2, CH4, N2O, and oxygen, lake and soil pore nutrient concentrations, soil temperature and moisture profiles, thaw depth, leaf area index (LAI), normalized difference vegetation index (NDVI), lake catchment characteristics, and quality and microbial degradability of aquatic dissolved organic matter.
Preliminary results from manual chamber measurements show that tussocks were the largest net CO2 sink during the growing season. While the majority of terrestrial landcover types showed small but consistent and seasonally varying CH4 uptake, lake shore and thermokarst-affected areas displayed high nutrient loads and were hotspots of CH4 emissions. Therefore, capturing the landscape heterogeneity, areal coverage and hydrological connectivity of terrestrial and aquatic landcover types is important and our study highlights the need to combine belowground, plot-, ecosystem- and landscape-scale measurements to understand biosphere-atmosphere interactions in the Arctic.
How to cite: Voigt, C., Hould Gosselin, G., Black, A., Chevrier-Dion, C., Marquis, C., Nesic, Z., Saarela, T., Wilcox, E., Marsh, P., and Sonnentag, O.: Towards Resolving Spatial and Temporal Greenhouse Gas Dynamics across a Heterogeneous Arctic Tundra Landscape in the Western Canadian Arctic, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19864, https://doi.org/10.5194/egusphere-egu2020-19864, 2020.
The Arctic is currently warming faster than the rest of the world. Warming and associated permafrost thaw in Arctic landscapes may mobilize large pools of carbon (C) and nitrogen (N) and ultimately increase the atmospheric burden of the greenhouse gases (GHGs) carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O). Arctic GHG dynamics and their environmental and hydrological controls are poorly understood. Whether Arctic landscapes act as a net GHG source or sink depends on the complex and spatially varying interactions between hydrology, active layer thickness, topography, temperature, vegetation, substrate availability and microbial dynamics.
Our study site, Trail Valley Creek (68°44’ N, 133°29’ W), is an upland tundra site characterized by small-scale (<10 m) land cover and soil type (mineral and organic) heterogeneity consisting of different land cover types: shrub, tussock and lichen patches, polygonal tundra and thermokarst-affected areas, wetlands, lakes, and streams. To understand the large spatial and temporal variability of GHG dynamics across these terrestrial and aquatic landcover types we use a nested observational approach at plot- (<1 m2), ecosystem- (~10 m2), landscape- (~100 m2) and regional (~50 km2) scale. Existing (since 2013) ecosystem-scale eddy covariance (EC) measurements of net CO2 and CH4 exchanges are complemented with landscape-scale EC measurements and plot-scale automated and manual chamber measurements within the EC tower footprint and beyond. To increase process-based understanding we complement these multi-scale GHG flux observations with a wide array of auxiliary measurements including soil profile dynamics of CO2, CH4, N2O, and oxygen, lake and soil pore nutrient concentrations, soil temperature and moisture profiles, thaw depth, leaf area index (LAI), normalized difference vegetation index (NDVI), lake catchment characteristics, and quality and microbial degradability of aquatic dissolved organic matter.
Preliminary results from manual chamber measurements show that tussocks were the largest net CO2 sink during the growing season. While the majority of terrestrial landcover types showed small but consistent and seasonally varying CH4 uptake, lake shore and thermokarst-affected areas displayed high nutrient loads and were hotspots of CH4 emissions. Therefore, capturing the landscape heterogeneity, areal coverage and hydrological connectivity of terrestrial and aquatic landcover types is important and our study highlights the need to combine belowground, plot-, ecosystem- and landscape-scale measurements to understand biosphere-atmosphere interactions in the Arctic.
How to cite: Voigt, C., Hould Gosselin, G., Black, A., Chevrier-Dion, C., Marquis, C., Nesic, Z., Saarela, T., Wilcox, E., Marsh, P., and Sonnentag, O.: Towards Resolving Spatial and Temporal Greenhouse Gas Dynamics across a Heterogeneous Arctic Tundra Landscape in the Western Canadian Arctic, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19864, https://doi.org/10.5194/egusphere-egu2020-19864, 2020.
EGU2020-20462 | Displays | BG2.23
The effects of afforestation on Fe mobilization in soils and potential for leaking into surface watersMartin Škerlep, Ulf Johansson, Dan Berggren Kleja, Per Persson, and Emma S Kritzberg
Increasing surface water concentrations of Fe and DOC (browning), have been reported around the northern hemisphere in the last couple of decades. This increase has far-reaching ecological and societal implications, as it alters the light climate in water and decreases the quality of drinking water. One of the hypothesis behind the increase has been that afforestation and a dominance of coniferous forest have increased the availability of Fe and DOC for transport from soils into surface waters. The accumulation of organic soil layers in coniferous forests increases acidity and the amounts of organic acids in soils and may thus enhance weathering, solubility and mobilization of Fe as the forest ages. In this study we examined the effects of afforestation and growth of Norway spruce on the mobilization and potential leakage of Fe and DOC from soils to surface waters. To represent the effects of ageing forest we used plots with spruce stands of different ages (35, 61, 90 years) and unforested control plots in their immediate proximity, in Tönnersjöheden experimental forest (Sweden). Soil water collected in lysimeters (installed below the organic horizon and in the mineral soil) and analyzed for Fe, Fe speciation, using X-ray absorption spectroscopy (XAS), as well as DOC, metals, major anions and cations. Soil samples were analyzed for Fe speciation and crystallinity at different depths. Results from the soil water analysis show that more Fe was mobile in older spruce forest stands with higher DOC concentrations and lower pH. Covariation of Fe and DOC concentrations in soil waters, indicate the dependence of Fe on DOC to solubilize and stay in solution. Preliminary results from our XAS analysis also indelicate a considerable amount of Fe(II) in soil water that is likely stabilized from oxidation by organic complexation. Surprisingly Fe extracted from the organic (O) soil horizon showed the highest crystallinity and crystallinity did not vary much between soils of different stand ages. The results of this study indicate that afforestation promotes Fe and DOC availability for export into surface waters as well as strengthens the notion that the effects of afforestation are not immediate, but take time as soils develop slowly. As afforestation and dominance of coniferous forest continues in many parts of the northern hemisphere, we can expect further increase of Fe and DOC in surface waters.
How to cite: Škerlep, M., Johansson, U., Berggren Kleja, D., Persson, P., and Kritzberg, E. S.: The effects of afforestation on Fe mobilization in soils and potential for leaking into surface waters, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20462, https://doi.org/10.5194/egusphere-egu2020-20462, 2020.
Increasing surface water concentrations of Fe and DOC (browning), have been reported around the northern hemisphere in the last couple of decades. This increase has far-reaching ecological and societal implications, as it alters the light climate in water and decreases the quality of drinking water. One of the hypothesis behind the increase has been that afforestation and a dominance of coniferous forest have increased the availability of Fe and DOC for transport from soils into surface waters. The accumulation of organic soil layers in coniferous forests increases acidity and the amounts of organic acids in soils and may thus enhance weathering, solubility and mobilization of Fe as the forest ages. In this study we examined the effects of afforestation and growth of Norway spruce on the mobilization and potential leakage of Fe and DOC from soils to surface waters. To represent the effects of ageing forest we used plots with spruce stands of different ages (35, 61, 90 years) and unforested control plots in their immediate proximity, in Tönnersjöheden experimental forest (Sweden). Soil water collected in lysimeters (installed below the organic horizon and in the mineral soil) and analyzed for Fe, Fe speciation, using X-ray absorption spectroscopy (XAS), as well as DOC, metals, major anions and cations. Soil samples were analyzed for Fe speciation and crystallinity at different depths. Results from the soil water analysis show that more Fe was mobile in older spruce forest stands with higher DOC concentrations and lower pH. Covariation of Fe and DOC concentrations in soil waters, indicate the dependence of Fe on DOC to solubilize and stay in solution. Preliminary results from our XAS analysis also indelicate a considerable amount of Fe(II) in soil water that is likely stabilized from oxidation by organic complexation. Surprisingly Fe extracted from the organic (O) soil horizon showed the highest crystallinity and crystallinity did not vary much between soils of different stand ages. The results of this study indicate that afforestation promotes Fe and DOC availability for export into surface waters as well as strengthens the notion that the effects of afforestation are not immediate, but take time as soils develop slowly. As afforestation and dominance of coniferous forest continues in many parts of the northern hemisphere, we can expect further increase of Fe and DOC in surface waters.
How to cite: Škerlep, M., Johansson, U., Berggren Kleja, D., Persson, P., and Kritzberg, E. S.: The effects of afforestation on Fe mobilization in soils and potential for leaking into surface waters, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20462, https://doi.org/10.5194/egusphere-egu2020-20462, 2020.
EGU2020-20556 | Displays | BG2.23 | Highlight
Drivers and responses of ecosystem processes at the Collelongo beech forest: main results and lessons learned over 30 years of research and monitoring in a period of changesGiorgio Matteucci, Alessio Collalti, Ettore D'Andrea, Bruno De Cinti, Olga Gavrichkova, Gabriele Guidolotti, Giovanni Manca, Francesco Mazzenga, Negar Rezaei, Andrea Scartazza, Riccardo Valentini, and Giuseppe Scarascia Mugnozza
The long-term research and monitoring site of Collelongo - Selva Piana has been established in 1991 (Abruzzo Region, Central Italy, 1560 m elevation) in the framework of a project on ecology and silviculture of European beech. In 1993, the site was the first forest in Europe where canopy fluxes started to be measured with the eddy covariance technique. Since then, the site has been involved in several of the most important networks and projects, including ICP Forests, Euroflux, CarboEurope-IP, FluxNet and, in 2006, joined the Long Term Ecological Research network (LTER).
Measurements at the Collelongo site bridge two centuries, starting right at the end of the WMO and IPCC climate reference period (1961-1990) and extending, in continuous, over a period of great changes (the three warmest ever decades occurred since then), including a number of extreme events (heat waves, droughts, late frost). During these thirty years, more than 50 researchers from different parts of the world performed direct measurements at the site, flux datasets from the site (code IT-Col) had more than 1500 unique downloads and it is estimated that more than 300 people used the data for producing more than 150 ISI papers.
We will briefly present the main results on different ecosystem processes (Phenology, Net Primary Production, Carbon Allocation, Net Ecosystem Exchange, Nutrient and Water Cycling) emphasizing responses to drivers, including legacies from the past. Over these thirty years, the growing season length increased significantly (1.33 day yr-1 from 2000 to 2015), the studied beech forests absorbed between 120 and 150 tC ha-1 and showing plasticity and resilience to changing climatic conditions. However, increasing warming, drought and extreme events may impair adaptation capacity. In this respect, modelling offers a tool to evaluate long-term responses, including possible management options to increase both adaptation and resilience capacities.
How to cite: Matteucci, G., Collalti, A., D'Andrea, E., De Cinti, B., Gavrichkova, O., Guidolotti, G., Manca, G., Mazzenga, F., Rezaei, N., Scartazza, A., Valentini, R., and Scarascia Mugnozza, G.: Drivers and responses of ecosystem processes at the Collelongo beech forest: main results and lessons learned over 30 years of research and monitoring in a period of changes, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20556, https://doi.org/10.5194/egusphere-egu2020-20556, 2020.
The long-term research and monitoring site of Collelongo - Selva Piana has been established in 1991 (Abruzzo Region, Central Italy, 1560 m elevation) in the framework of a project on ecology and silviculture of European beech. In 1993, the site was the first forest in Europe where canopy fluxes started to be measured with the eddy covariance technique. Since then, the site has been involved in several of the most important networks and projects, including ICP Forests, Euroflux, CarboEurope-IP, FluxNet and, in 2006, joined the Long Term Ecological Research network (LTER).
Measurements at the Collelongo site bridge two centuries, starting right at the end of the WMO and IPCC climate reference period (1961-1990) and extending, in continuous, over a period of great changes (the three warmest ever decades occurred since then), including a number of extreme events (heat waves, droughts, late frost). During these thirty years, more than 50 researchers from different parts of the world performed direct measurements at the site, flux datasets from the site (code IT-Col) had more than 1500 unique downloads and it is estimated that more than 300 people used the data for producing more than 150 ISI papers.
We will briefly present the main results on different ecosystem processes (Phenology, Net Primary Production, Carbon Allocation, Net Ecosystem Exchange, Nutrient and Water Cycling) emphasizing responses to drivers, including legacies from the past. Over these thirty years, the growing season length increased significantly (1.33 day yr-1 from 2000 to 2015), the studied beech forests absorbed between 120 and 150 tC ha-1 and showing plasticity and resilience to changing climatic conditions. However, increasing warming, drought and extreme events may impair adaptation capacity. In this respect, modelling offers a tool to evaluate long-term responses, including possible management options to increase both adaptation and resilience capacities.
How to cite: Matteucci, G., Collalti, A., D'Andrea, E., De Cinti, B., Gavrichkova, O., Guidolotti, G., Manca, G., Mazzenga, F., Rezaei, N., Scartazza, A., Valentini, R., and Scarascia Mugnozza, G.: Drivers and responses of ecosystem processes at the Collelongo beech forest: main results and lessons learned over 30 years of research and monitoring in a period of changes, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20556, https://doi.org/10.5194/egusphere-egu2020-20556, 2020.
EGU2020-21620 | Displays | BG2.23
The role of formal institutions in forest decline: exploring institutional failureJim Yates, Laura Secco, and Francesco Carbone
Recent global efforts to reduce and abate forest declines i.e. deforestation, degradation and disturbance, forest ecosystems are extensive and well incentivised. Forests, however, remain as areas subject to competing resource objectives with complex socio-economic development paradigms and historical policy narratives. Indirect and direct causes forest decline are well cited across the literature. The concept that institutions are failing to secure positive outcomes for forest resources, however, is a somewhat new concept in resource management discourses. It is argued that formal institutions in forest management acting as developers, intermediaries, and the regulators of forest policy, having legitimized competency, are subject to meso-scale failure and in some circumstances contribute to forest decline. Adopting a mixed-method approach, application of a modified DPSIR framework, DPAESMR (Drivers-Policy-Actions-Effects-State Changes-Monitoring and Reporting) was combined with elements from the traditional policy cycle logic to develop a novel policy evaluation analysis tool or PEA. Using the PEA, analysis of classical literature and empirical experiences across four separate international and geographical case studies focused on formal institutions in forest management, their forest policy, actions and effects and are assessed against more recently reported state changes to respective forest resources, along with gaps in subsequent monitoring and reporting efforts. The analysis highlights land-use change and forest exploitation, intentional or not, demonstrates sustained losses in forest area, degradation processes and forest disturbance despite established/legitimized forest policy and robust formal intuitional direction and support. Forest policy interpreted and derived from acts, laws and norms vary across all cases naturally, although, similar themes such as gaps in institutional regulation, enforcement and information, subsequently result in weak forest administration. Evidence of robust, reasonably well covered and incentivized formal forest institutions exist irrespaective of forest administrative area and have failed to address forest decline and is highlighted as meso-scale failure or institutional failure. Understanding traditional issues such as property rights, path-dependence or re-orientation may succeed in strengthening institutional adaptation to triggers, crises and abrupt policy changes which will aid the effort in slowing forest decline.
Keywords
Forest decline, Institutional failure, DPSIR, forest management, policy analysis
How to cite: Yates, J., Secco, L., and Carbone, F.: The role of formal institutions in forest decline: exploring institutional failure, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21620, https://doi.org/10.5194/egusphere-egu2020-21620, 2020.
Recent global efforts to reduce and abate forest declines i.e. deforestation, degradation and disturbance, forest ecosystems are extensive and well incentivised. Forests, however, remain as areas subject to competing resource objectives with complex socio-economic development paradigms and historical policy narratives. Indirect and direct causes forest decline are well cited across the literature. The concept that institutions are failing to secure positive outcomes for forest resources, however, is a somewhat new concept in resource management discourses. It is argued that formal institutions in forest management acting as developers, intermediaries, and the regulators of forest policy, having legitimized competency, are subject to meso-scale failure and in some circumstances contribute to forest decline. Adopting a mixed-method approach, application of a modified DPSIR framework, DPAESMR (Drivers-Policy-Actions-Effects-State Changes-Monitoring and Reporting) was combined with elements from the traditional policy cycle logic to develop a novel policy evaluation analysis tool or PEA. Using the PEA, analysis of classical literature and empirical experiences across four separate international and geographical case studies focused on formal institutions in forest management, their forest policy, actions and effects and are assessed against more recently reported state changes to respective forest resources, along with gaps in subsequent monitoring and reporting efforts. The analysis highlights land-use change and forest exploitation, intentional or not, demonstrates sustained losses in forest area, degradation processes and forest disturbance despite established/legitimized forest policy and robust formal intuitional direction and support. Forest policy interpreted and derived from acts, laws and norms vary across all cases naturally, although, similar themes such as gaps in institutional regulation, enforcement and information, subsequently result in weak forest administration. Evidence of robust, reasonably well covered and incentivized formal forest institutions exist irrespaective of forest administrative area and have failed to address forest decline and is highlighted as meso-scale failure or institutional failure. Understanding traditional issues such as property rights, path-dependence or re-orientation may succeed in strengthening institutional adaptation to triggers, crises and abrupt policy changes which will aid the effort in slowing forest decline.
Keywords
Forest decline, Institutional failure, DPSIR, forest management, policy analysis
How to cite: Yates, J., Secco, L., and Carbone, F.: The role of formal institutions in forest decline: exploring institutional failure, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21620, https://doi.org/10.5194/egusphere-egu2020-21620, 2020.
EGU2020-21697 | Displays | BG2.23
Long-term change monitoring of natural grasslands ecosystem in support of SDG 15.3.1Cristina Tarantino, Maria Adamo, and Palma Blonda
Assessing and maintaining the conservation of natural and semi-natural grassland ecosystems is one of the most important actions of the Biodiversity Strategy by the European Commission.
The present study focuses on the detection of long-term changes, from 1990 to 2018, of natural grasslands ecosystem, at local scale, in the “Murgia Alta”, a National Park as well as a Natura 2000 protected area, Southern Italy. The study site represents one of the largest areas for the conservation of such ecosystem in Italy. It is under pressure and in danger of destruction due to soil graining for agricultural intensification, illegal expansion of extraction sites, fires and land abandonment with consequent biodiversity loss.
Land Cover (LC) changes and class trends are one of the measures (sub-indicator) required for the implementation of the Sustainable Development Goals (SDG) 15.3.1 Indicator (“Proportion of land that is degraded over total land area”) of the Agenda 2030 by United Nations.
Multisource/multiresolution free available satellite data (visible, near infrared and short wave infrared spectral bands) were considered. Historical images from Landsat (4 images per year, one per season) were analyzed to produce different LC multiclass maps for 1990, 2001, 2004, 2011 and 2018 at 30 m spatial resolution, with an automatic data-driven classifier (Support Vector Machine). For 2018 Sentinel-2 data, 10 m spatial resolution, were also considered.
The mean value of the Overall Accuracies obtained for the LC maps from Landsat was 95%. Similar value was obtained in the last year from Sentinel-2.
Then natural grassland layer was extracted from those maps to analyze the trend of the grasslands ecosystem over time. The findings obtained indicate a total loss in the extension of the ecosystem of about 18% from 1990 to 2018. The major decrease (26%) occurred in 1990-2001. Then a modest decrease followed up to 2004 (year of institution of the National Park). Finally a slight increase probably due to land abandonment followed to fire events was quantified after 2004.
From the comparison of the different LC maps obtained, the decrease of natural grasslands resulted mainly due to transformation into agricultural areas.
In addition, these results are consistent with those obtained using Corine Land Cover maps available for the same period although at a coarser scale.
The SDG sub-indicator was evaluated inside the protected area and in a buffer, 10 km, area around. This sub-measure, which can be evaluated from time-series of satellite free data, can support long-term monitoring of protected area and can be used not only for the resilience evaluation of the study site to climate changes but also for the evaluation of conservation policies and as input to scenario modelling.
How to cite: Tarantino, C., Adamo, M., and Blonda, P.: Long-term change monitoring of natural grasslands ecosystem in support of SDG 15.3.1, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21697, https://doi.org/10.5194/egusphere-egu2020-21697, 2020.
Assessing and maintaining the conservation of natural and semi-natural grassland ecosystems is one of the most important actions of the Biodiversity Strategy by the European Commission.
The present study focuses on the detection of long-term changes, from 1990 to 2018, of natural grasslands ecosystem, at local scale, in the “Murgia Alta”, a National Park as well as a Natura 2000 protected area, Southern Italy. The study site represents one of the largest areas for the conservation of such ecosystem in Italy. It is under pressure and in danger of destruction due to soil graining for agricultural intensification, illegal expansion of extraction sites, fires and land abandonment with consequent biodiversity loss.
Land Cover (LC) changes and class trends are one of the measures (sub-indicator) required for the implementation of the Sustainable Development Goals (SDG) 15.3.1 Indicator (“Proportion of land that is degraded over total land area”) of the Agenda 2030 by United Nations.
Multisource/multiresolution free available satellite data (visible, near infrared and short wave infrared spectral bands) were considered. Historical images from Landsat (4 images per year, one per season) were analyzed to produce different LC multiclass maps for 1990, 2001, 2004, 2011 and 2018 at 30 m spatial resolution, with an automatic data-driven classifier (Support Vector Machine). For 2018 Sentinel-2 data, 10 m spatial resolution, were also considered.
The mean value of the Overall Accuracies obtained for the LC maps from Landsat was 95%. Similar value was obtained in the last year from Sentinel-2.
Then natural grassland layer was extracted from those maps to analyze the trend of the grasslands ecosystem over time. The findings obtained indicate a total loss in the extension of the ecosystem of about 18% from 1990 to 2018. The major decrease (26%) occurred in 1990-2001. Then a modest decrease followed up to 2004 (year of institution of the National Park). Finally a slight increase probably due to land abandonment followed to fire events was quantified after 2004.
From the comparison of the different LC maps obtained, the decrease of natural grasslands resulted mainly due to transformation into agricultural areas.
In addition, these results are consistent with those obtained using Corine Land Cover maps available for the same period although at a coarser scale.
The SDG sub-indicator was evaluated inside the protected area and in a buffer, 10 km, area around. This sub-measure, which can be evaluated from time-series of satellite free data, can support long-term monitoring of protected area and can be used not only for the resilience evaluation of the study site to climate changes but also for the evaluation of conservation policies and as input to scenario modelling.
How to cite: Tarantino, C., Adamo, M., and Blonda, P.: Long-term change monitoring of natural grasslands ecosystem in support of SDG 15.3.1, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21697, https://doi.org/10.5194/egusphere-egu2020-21697, 2020.
EGU2020-21904 | Displays | BG2.23
Habitat mapping and change assessment of coastal wetlands by using Sentinel-2 time series and ecological expert knowledgeMaria Adamo, Valeria Tomaselli, Francesca Mantino, Cristina Tarantino, and Palma Blonda
Coastal wetlands are one of the most threatened ecosystems worldwide. In the Mediterranean Region, wetlands are undergoing rapid changes due to the increasing of human pressures (e.g. land reclamation, water resources exploitation) and climate changes (e.g. coastal erosion), with a resulting habitat degradation, fragmentation, and biodiversity loss.
Long-term habitat mapping and change detection are essential for the management of coastal wetlands as well as for evaluating the impact of conservation policies.
Earth observation (EO) data and techniques are a valuable resource for long-term habitat mapping, thanks to the large amount of available data and their high spatial and temporal resolution. In this study, we propose an approach based on the integration of time series of Sentinel-2 images and ecological expert knowledge for land cover (LC) mapping and automatic translation to habitats in coastal wetlands. In particular, the research relies on the exploitation of ecological rules based on combined information related to plant phenology, water seasonality of aquatic species, pattern zonation, and habitat geometric properties.
The methodology is applied to two Natura2000 sites, “Zone umide della Capitanata” and “Paludi presso il Golfo di Manfredonia”, located in the northeastern part of the Puglia region. These two areas are the most extensive wetlands of the Italian peninsula and the largest components of the Mediterranean wetland system.
Land Cover classes are labelled according to the FAO-LCCS taxonomy, which offers a framework to integrate EO data with in situ and ancillary data. Output habitat classes are labelled according to EUNIS habitat classification.
How to cite: Adamo, M., Tomaselli, V., Mantino, F., Tarantino, C., and Blonda, P.: Habitat mapping and change assessment of coastal wetlands by using Sentinel-2 time series and ecological expert knowledge, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21904, https://doi.org/10.5194/egusphere-egu2020-21904, 2020.
Coastal wetlands are one of the most threatened ecosystems worldwide. In the Mediterranean Region, wetlands are undergoing rapid changes due to the increasing of human pressures (e.g. land reclamation, water resources exploitation) and climate changes (e.g. coastal erosion), with a resulting habitat degradation, fragmentation, and biodiversity loss.
Long-term habitat mapping and change detection are essential for the management of coastal wetlands as well as for evaluating the impact of conservation policies.
Earth observation (EO) data and techniques are a valuable resource for long-term habitat mapping, thanks to the large amount of available data and their high spatial and temporal resolution. In this study, we propose an approach based on the integration of time series of Sentinel-2 images and ecological expert knowledge for land cover (LC) mapping and automatic translation to habitats in coastal wetlands. In particular, the research relies on the exploitation of ecological rules based on combined information related to plant phenology, water seasonality of aquatic species, pattern zonation, and habitat geometric properties.
The methodology is applied to two Natura2000 sites, “Zone umide della Capitanata” and “Paludi presso il Golfo di Manfredonia”, located in the northeastern part of the Puglia region. These two areas are the most extensive wetlands of the Italian peninsula and the largest components of the Mediterranean wetland system.
Land Cover classes are labelled according to the FAO-LCCS taxonomy, which offers a framework to integrate EO data with in situ and ancillary data. Output habitat classes are labelled according to EUNIS habitat classification.
How to cite: Adamo, M., Tomaselli, V., Mantino, F., Tarantino, C., and Blonda, P.: Habitat mapping and change assessment of coastal wetlands by using Sentinel-2 time series and ecological expert knowledge, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21904, https://doi.org/10.5194/egusphere-egu2020-21904, 2020.
BG3.2 – Land imaging capabilities and application needs
EGU2020-1629 | Displays | BG3.2
Copernicus User Needs CollectionMichel Massart, Fabienne Jacq, and Hugo Zunker
Copernicus is the Earth Observation Flagship programme of the European Union. It is user driven programme. It has observation capacities with currently 7 satellites in orbit, and information production services in 6 domains: land, emergency, security, climate change, atmosphere and marine. One of the objective of the programme started in 2011 is to ensure the long-term sustainability of the observation capacities for Europe. In this context, the European Commission and the European Space Agency are now preparing the Next Generation (2030) of Sentinel satellites.
To define the specifications of this Next Generation, the European Commission has launched several user requirement surveys and studies aimed at gathering the satellite observation long-term needs across different sectors.
User requirements have been gathered based on desk studies, exchanges and interactions with existing and potential user communities. They have been collected and analysed from different sources which include dedicated studies carried out between 2015 and 2018, requirements expressed by users during task forces and expert groups, and outcomes of several users’ requirement workshops and meetings organized during the last two years. Based on this collection of User Requirements, the European Space Agency has started now to define the potential specifications of the Next Generation of Copernicus satellites.
The objective of the presentation will be to explain the process setup for collecting the User Requirements, their analysis and the outcomes.
How to cite: Massart, M., Jacq, F., and Zunker, H.: Copernicus User Needs Collection, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1629, https://doi.org/10.5194/egusphere-egu2020-1629, 2020.
Copernicus is the Earth Observation Flagship programme of the European Union. It is user driven programme. It has observation capacities with currently 7 satellites in orbit, and information production services in 6 domains: land, emergency, security, climate change, atmosphere and marine. One of the objective of the programme started in 2011 is to ensure the long-term sustainability of the observation capacities for Europe. In this context, the European Commission and the European Space Agency are now preparing the Next Generation (2030) of Sentinel satellites.
To define the specifications of this Next Generation, the European Commission has launched several user requirement surveys and studies aimed at gathering the satellite observation long-term needs across different sectors.
User requirements have been gathered based on desk studies, exchanges and interactions with existing and potential user communities. They have been collected and analysed from different sources which include dedicated studies carried out between 2015 and 2018, requirements expressed by users during task forces and expert groups, and outcomes of several users’ requirement workshops and meetings organized during the last two years. Based on this collection of User Requirements, the European Space Agency has started now to define the potential specifications of the Next Generation of Copernicus satellites.
The objective of the presentation will be to explain the process setup for collecting the User Requirements, their analysis and the outcomes.
How to cite: Massart, M., Jacq, F., and Zunker, H.: Copernicus User Needs Collection, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1629, https://doi.org/10.5194/egusphere-egu2020-1629, 2020.
EGU2020-2227 | Displays | BG3.2
A Land Imaging Architecture Scorecard to Support Decision-MakingCarolyn Vadnais, Erin Dale, and Zhuoting Wu
EGU2020-4185 | Displays | BG3.2
Space oddity: estimating Earth biodiversity from a satelliteDuccio Rocchini
Assessing biodiversity from field-based data is difficult for a number of practical reasons: (i) establishing the total number of sampling units to be investigated and the sampling design (e.g. systematic, random, stratified) can be difficult; (ii) the choice of the sampling design can affect the results; and (iii) defining the focal population of interest can be challenging. Satellite remote sensing is one of the most cost-effective and comprehensive approaches to identify biodiversity hotspots and predict changes in species composition. This is because, in contrast to field-based methods, it allows for complete spatial coverages of the Earth's surface under study over a short period of time. Furthermore, satellite remote sensing provides repeated measures, thus making it possible to study temporal changes in biodiversity. While taxonomic diversity measures have long been established, problems arising from abundance related measures have not been yet disentangled. Moreover, little has been done to account for functional diversity besides taxonomic diversity measures. The aim of this talk is to propose robust measures of remotely sensed heterogeneity to perform exploratory analysis for the detection of hotspots of taxonomic and functional diversity of plant species.
How to cite: Rocchini, D.: Space oddity: estimating Earth biodiversity from a satellite, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4185, https://doi.org/10.5194/egusphere-egu2020-4185, 2020.
Assessing biodiversity from field-based data is difficult for a number of practical reasons: (i) establishing the total number of sampling units to be investigated and the sampling design (e.g. systematic, random, stratified) can be difficult; (ii) the choice of the sampling design can affect the results; and (iii) defining the focal population of interest can be challenging. Satellite remote sensing is one of the most cost-effective and comprehensive approaches to identify biodiversity hotspots and predict changes in species composition. This is because, in contrast to field-based methods, it allows for complete spatial coverages of the Earth's surface under study over a short period of time. Furthermore, satellite remote sensing provides repeated measures, thus making it possible to study temporal changes in biodiversity. While taxonomic diversity measures have long been established, problems arising from abundance related measures have not been yet disentangled. Moreover, little has been done to account for functional diversity besides taxonomic diversity measures. The aim of this talk is to propose robust measures of remotely sensed heterogeneity to perform exploratory analysis for the detection of hotspots of taxonomic and functional diversity of plant species.
How to cite: Rocchini, D.: Space oddity: estimating Earth biodiversity from a satellite, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4185, https://doi.org/10.5194/egusphere-egu2020-4185, 2020.
EGU2020-6675 | Displays | BG3.2 | Highlight
The ESA Sentinel Next-Generation Land & Ocean Optical Imaging Architectural Study, an OverviewArmin Löscher, Philippe Martimort, Simon Jutz, Ferran Gascon, Craig Donlon, Ilias Manolis, and Umberto Del Bello
ESA initiated in 2018 an architectural design study to prepare the development of the next generation of the optical component of Sentinel 2 and Sentinel 3. This encompasses the next generation of the Multi Spectral Imager (MSI), Ocean and Land Color Imager (OLCI) and Sea and Land Surface Temperature Radiometer (SLSTR) observations. The aim of this activity was to analyse and trade-off different architectural options for the Next-Generation of the Copernicus Space Component optical imaging missions in the 2032 time horizon, considering user needs, addressing mainly the Copernicus Marine and Land services, starting from user requirements for Copernicus Next Generation derived from EC studies and related workshops. It also did draw from the experience and lessons learned regarding the current generation of Sentinel 2 and Sentinel 3, to ensure continuity of services and further enhancement as identified, necessary to meet new and emerging user needs. The study investigated also trends both in terms of other spaceborne optical missions by national agencies in Europe and worldwide, as well as commercial missions e.g. with the advent of “New Space” constellations of small satellites. Observation gaps and potential synergies were identified to avoid duplication when establishing the architecture of the next generation of the Copernicus Space Component optical imaging family for land and ocean applications. A wide range of scenarios have been analysed for possible combination of several observation capabilities within the same instrument, on the same platform or on satellites flying in formation, assessing pros and cons with respect to scenarios with free-flyer satellites for each observation capability. Based on the above analysis of user needs, gap/synergy analysis and architectural concept trade-offs, high level mission assumptions and technical requirements are being established for the continuity of the MSI, OLCI and SLSTR observations, including any additional elements, as identified, to meet user requirements in the respective Copernicus services and application areas.
How to cite: Löscher, A., Martimort, P., Jutz, S., Gascon, F., Donlon, C., Manolis, I., and Del Bello, U.: The ESA Sentinel Next-Generation Land & Ocean Optical Imaging Architectural Study, an Overview, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6675, https://doi.org/10.5194/egusphere-egu2020-6675, 2020.
ESA initiated in 2018 an architectural design study to prepare the development of the next generation of the optical component of Sentinel 2 and Sentinel 3. This encompasses the next generation of the Multi Spectral Imager (MSI), Ocean and Land Color Imager (OLCI) and Sea and Land Surface Temperature Radiometer (SLSTR) observations. The aim of this activity was to analyse and trade-off different architectural options for the Next-Generation of the Copernicus Space Component optical imaging missions in the 2032 time horizon, considering user needs, addressing mainly the Copernicus Marine and Land services, starting from user requirements for Copernicus Next Generation derived from EC studies and related workshops. It also did draw from the experience and lessons learned regarding the current generation of Sentinel 2 and Sentinel 3, to ensure continuity of services and further enhancement as identified, necessary to meet new and emerging user needs. The study investigated also trends both in terms of other spaceborne optical missions by national agencies in Europe and worldwide, as well as commercial missions e.g. with the advent of “New Space” constellations of small satellites. Observation gaps and potential synergies were identified to avoid duplication when establishing the architecture of the next generation of the Copernicus Space Component optical imaging family for land and ocean applications. A wide range of scenarios have been analysed for possible combination of several observation capabilities within the same instrument, on the same platform or on satellites flying in formation, assessing pros and cons with respect to scenarios with free-flyer satellites for each observation capability. Based on the above analysis of user needs, gap/synergy analysis and architectural concept trade-offs, high level mission assumptions and technical requirements are being established for the continuity of the MSI, OLCI and SLSTR observations, including any additional elements, as identified, to meet user requirements in the respective Copernicus services and application areas.
How to cite: Löscher, A., Martimort, P., Jutz, S., Gascon, F., Donlon, C., Manolis, I., and Del Bello, U.: The ESA Sentinel Next-Generation Land & Ocean Optical Imaging Architectural Study, an Overview, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6675, https://doi.org/10.5194/egusphere-egu2020-6675, 2020.
EGU2020-18703 | Displays | BG3.2
A Sentinel-1 based European crop parcel map using 2018 in-situ LUCAS Copernicus observationsVerhegghen Astrid, d'Andrimont Raphaël, Lemoine Guido, Strobl Peter, and van der Velde Marijn
Efficient near-real time and wall-to-wall land monitoring is now possible with unprecedented detail because of the fleet of Copernicus Sentinel satellites. This remote sensing paradigm is the consequence of the freely accessible, global, Copernicus data, combined with affordable cloud computing. However, to translate this capacity in accurate products, and to truly benefit from the high spatial detail (~10m) and temporal resolution (~5 days in constellation) of the Sentinels 1 and 2, high quality and timely in-situ data remains crucial. Robust operational monitoring systems are in need of both training and validation data.
Here, we demonstrate the potential of Sentinel 1 observations and complementary high-quality in-situ data to generate a crop type map at continental scale. In 2018, the Land Cover and Land Use Area frame Survey (LUCAS) carried out in the European Union contained a specific Copernicus module corresponding to 93.091 polygons surveyed in-situ. In contrast to the usual LUCAS point observation, the Copernicus protocol provides data on the extent of homogeneous land cover for a maximum size of 100 x 100 m, making it meaningful for remote sensing applications. After filtering the polygons to retrieve only high quality sample, a sample was selected to explore the accuracy of crop type maps at different moments of the 2018 growing season over Europe. The time series of 10 days VV and VH were classified using Random Forest models. The crops that were mapped correspond to the 13 major crops in Europe and are those that are monitored and forecast by the JRC MARS activities (soft wheat, maize, rapeseed, barley, potatoes, ...). Overall, reasonable accuracies were obtained (~80%). Although no a priori parcel delineation was used, it was encouraging to observe the relative homogeneity of pixel classification results within the same parcel. In the context of forecasting, we specifically assessed at what time in the growing season accuracies moved beyond a set threshold for the different crops. This ranged from May for winter crops such as soft wheat, and September for summer crops such as maize.
Our results contribute to the discussion regarding the usefulness, benefits, as well as weaknesses, of the newly acquired LUCAS Copernicus data. Doing so, this study demonstrates the potential of in-situ surveys such as LUCAS Copernicus module specifically targeted for Earth Observation applications. Future improvements to the LUCAS Copernicus survey methodology are suggested. Importantly, now that LUCAS has been postponed to 2022, and aligned with the Copernicus space program, we advocate for a European Union wide systematic and representative in-situ sample campaign relevant for Earth Observation applications, beyond the traditional LUCAS survey.
How to cite: Astrid, V., Raphaël, D., Guido, L., Peter, S., and Marijn, V. D. V.: A Sentinel-1 based European crop parcel map using 2018 in-situ LUCAS Copernicus observations, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18703, https://doi.org/10.5194/egusphere-egu2020-18703, 2020.
Efficient near-real time and wall-to-wall land monitoring is now possible with unprecedented detail because of the fleet of Copernicus Sentinel satellites. This remote sensing paradigm is the consequence of the freely accessible, global, Copernicus data, combined with affordable cloud computing. However, to translate this capacity in accurate products, and to truly benefit from the high spatial detail (~10m) and temporal resolution (~5 days in constellation) of the Sentinels 1 and 2, high quality and timely in-situ data remains crucial. Robust operational monitoring systems are in need of both training and validation data.
Here, we demonstrate the potential of Sentinel 1 observations and complementary high-quality in-situ data to generate a crop type map at continental scale. In 2018, the Land Cover and Land Use Area frame Survey (LUCAS) carried out in the European Union contained a specific Copernicus module corresponding to 93.091 polygons surveyed in-situ. In contrast to the usual LUCAS point observation, the Copernicus protocol provides data on the extent of homogeneous land cover for a maximum size of 100 x 100 m, making it meaningful for remote sensing applications. After filtering the polygons to retrieve only high quality sample, a sample was selected to explore the accuracy of crop type maps at different moments of the 2018 growing season over Europe. The time series of 10 days VV and VH were classified using Random Forest models. The crops that were mapped correspond to the 13 major crops in Europe and are those that are monitored and forecast by the JRC MARS activities (soft wheat, maize, rapeseed, barley, potatoes, ...). Overall, reasonable accuracies were obtained (~80%). Although no a priori parcel delineation was used, it was encouraging to observe the relative homogeneity of pixel classification results within the same parcel. In the context of forecasting, we specifically assessed at what time in the growing season accuracies moved beyond a set threshold for the different crops. This ranged from May for winter crops such as soft wheat, and September for summer crops such as maize.
Our results contribute to the discussion regarding the usefulness, benefits, as well as weaknesses, of the newly acquired LUCAS Copernicus data. Doing so, this study demonstrates the potential of in-situ surveys such as LUCAS Copernicus module specifically targeted for Earth Observation applications. Future improvements to the LUCAS Copernicus survey methodology are suggested. Importantly, now that LUCAS has been postponed to 2022, and aligned with the Copernicus space program, we advocate for a European Union wide systematic and representative in-situ sample campaign relevant for Earth Observation applications, beyond the traditional LUCAS survey.
How to cite: Astrid, V., Raphaël, D., Guido, L., Peter, S., and Marijn, V. D. V.: A Sentinel-1 based European crop parcel map using 2018 in-situ LUCAS Copernicus observations, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18703, https://doi.org/10.5194/egusphere-egu2020-18703, 2020.
EGU2020-21491 | Displays | BG3.2 | Highlight
Status of Current and Expansion Missions of the Copernicus Optical Imaging FamilyFerran Gascon, Anja Stromme, Michael Rast, Jens Nieke, Benjamin Koetz, Ana Bolea Alamañac, and Marcello Sallusti
The Copernicus EU program started in 1998 with the overarching aim to become Europe’s operational Earth Observation monitoring system providing data and information services. An essential part of the program is the Copernicus Space Component (CSC), which is managed by the European Space Agency (ESA) as responsible for the Copernicus Sentinels satellite constellations.
The presentation will include an overview of the CSC Optical Imaging Family (OIF) currently operated missions, namely Sentinel-2 and Sentinel-3, and candidate potential missions being developed, namely Copernicus Hyperspectral Imaging Mission for Environment (CHIME) and High Spatio-Temporal Resolution Land Surface Temperature Monitoring Mission (LSTM). The next generation missions are not included here.
Sentinel-2 is an Earth Observation mission developed by the European Space Agency (ESA) in the frame of the Copernicus program of the European Commission. The mission consists on a Multi-Spectral Instruments (MSI) on board a constellation of two satellites: Sentinel-2A launched in June 2015 and Sentinel-2B launched in March 2017. It covers the Earth’s land surfaces and coastal waters every five days under the same viewing conditions and every three days at mid-latitudes with high spatial resolution and a wide field of view.
5 day revisit (i.e. under same viewing conditions) is met at all latitudes of observations (not only at equator), and with the swath overlap and the S2 orbit repeat pattern (14+3/10 rev/day, i.e. a 3 day sub-cycle), 3 day geometric coverage is achieved at mid latitudes.
Sentinel-3 mission is measuring sea surface topography, sea and land surface temperature, and ocean and land surface colour with high accuracy and reliability to support ocean forecasting systems, environmental monitoring and climate monitoring. The Sentinel-3 mission is jointly operated by ESA and EUMETSAT to deliver operational ocean and land observation services.
CHIME, identified as one of the Copernicus Expansion High Priority Candidate Missions (HPCM), will provide routine observations through the Copernicus Programme for managing natural resources and assets in support of EU policy, and will complement currently flying multi-spectral missions such as Sentinel-2. Compared to multi-spectral missions, CHIME will have an increased number of narrow spectral bands (spectral resolution of 10nm with no gaps between bands) in the visible-to-shortwave infrared range (400-2500nm), which will allow for a more accurate determination of biochemical and biophysical variables.
LSTM, also identified as one of the HPCM, will provide enhanced measurements of land surface temperature with a focus responding to user requirements related to agricultural monitoring. High spatio-temporal resolution thermal infrared observations are considered fundamental to sustainable management natural resources in the context of water and food security of a global society. Operational land surface temperature (LST) measurements and derived evapotranspiration (ET) are key variables in understanding and responding to climate variability, managing water resources for agricultural production, predicting droughts but also addressing land degradation, natural hazards, coastal and inland water management as well as urban heat island issues.
How to cite: Gascon, F., Stromme, A., Rast, M., Nieke, J., Koetz, B., Bolea Alamañac, A., and Sallusti, M.: Status of Current and Expansion Missions of the Copernicus Optical Imaging Family, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21491, https://doi.org/10.5194/egusphere-egu2020-21491, 2020.
The Copernicus EU program started in 1998 with the overarching aim to become Europe’s operational Earth Observation monitoring system providing data and information services. An essential part of the program is the Copernicus Space Component (CSC), which is managed by the European Space Agency (ESA) as responsible for the Copernicus Sentinels satellite constellations.
The presentation will include an overview of the CSC Optical Imaging Family (OIF) currently operated missions, namely Sentinel-2 and Sentinel-3, and candidate potential missions being developed, namely Copernicus Hyperspectral Imaging Mission for Environment (CHIME) and High Spatio-Temporal Resolution Land Surface Temperature Monitoring Mission (LSTM). The next generation missions are not included here.
Sentinel-2 is an Earth Observation mission developed by the European Space Agency (ESA) in the frame of the Copernicus program of the European Commission. The mission consists on a Multi-Spectral Instruments (MSI) on board a constellation of two satellites: Sentinel-2A launched in June 2015 and Sentinel-2B launched in March 2017. It covers the Earth’s land surfaces and coastal waters every five days under the same viewing conditions and every three days at mid-latitudes with high spatial resolution and a wide field of view.
5 day revisit (i.e. under same viewing conditions) is met at all latitudes of observations (not only at equator), and with the swath overlap and the S2 orbit repeat pattern (14+3/10 rev/day, i.e. a 3 day sub-cycle), 3 day geometric coverage is achieved at mid latitudes.
Sentinel-3 mission is measuring sea surface topography, sea and land surface temperature, and ocean and land surface colour with high accuracy and reliability to support ocean forecasting systems, environmental monitoring and climate monitoring. The Sentinel-3 mission is jointly operated by ESA and EUMETSAT to deliver operational ocean and land observation services.
CHIME, identified as one of the Copernicus Expansion High Priority Candidate Missions (HPCM), will provide routine observations through the Copernicus Programme for managing natural resources and assets in support of EU policy, and will complement currently flying multi-spectral missions such as Sentinel-2. Compared to multi-spectral missions, CHIME will have an increased number of narrow spectral bands (spectral resolution of 10nm with no gaps between bands) in the visible-to-shortwave infrared range (400-2500nm), which will allow for a more accurate determination of biochemical and biophysical variables.
LSTM, also identified as one of the HPCM, will provide enhanced measurements of land surface temperature with a focus responding to user requirements related to agricultural monitoring. High spatio-temporal resolution thermal infrared observations are considered fundamental to sustainable management natural resources in the context of water and food security of a global society. Operational land surface temperature (LST) measurements and derived evapotranspiration (ET) are key variables in understanding and responding to climate variability, managing water resources for agricultural production, predicting droughts but also addressing land degradation, natural hazards, coastal and inland water management as well as urban heat island issues.
How to cite: Gascon, F., Stromme, A., Rast, M., Nieke, J., Koetz, B., Bolea Alamañac, A., and Sallusti, M.: Status of Current and Expansion Missions of the Copernicus Optical Imaging Family, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21491, https://doi.org/10.5194/egusphere-egu2020-21491, 2020.
EGU2020-21931 | Displays | BG3.2
The Copernicus Sentinel Fleet: Health check of Planet EarthSimon L. G. Jutz
EGU2020-22369 | Displays | BG3.2
Impact of NASA’s ESTO SLI-T, IIP, and other R&D Investments on SLI programPhilip Dabney, Jeffrey Masek, Sachidananda Babu, Parminder Ghuman, and Nahal Kardan
BG3.3 – Gas exchange between soil, plants and atmosphere
EGU2020-10965 | Displays | BG3.3 | Highlight
Global soil respiration: patterns, challenges and network opportunitiesRodrigo Vargas, Daniel Warner, Emma Stell, Benjamin Bond-Lamberty, and Jinshi Jian
Soil respiration (Rs) is the soil‐to‐atmosphere CO2 efflux produced by microbes and plant roots and is a critical component for the global carbon budget. We present state-of-the-art approaches to estimate global soil respiration at 1 km spatial resolution using the global Soil Respiration Database (GSRD) and machine learning techniques. Patterns of Rs are evident at the global scale and we report an annual estimate of 87.9 Pg C/year with an associated global uncertainty of 18.6 (mean absolute error) and 40.4 (root mean square error) Pg C/year. Global heterotrophic respiration (Rh), the microbial decomposition of soil organic matter, could be derived from empirical relationships with Rs with a global estimate of 49.7 Pg C/year. We discuss how these global estimates and patterns are influenced by adding new measurements as we compared the GSRD version 3 with version 4. This comparison raises challenges about how adding new information, within a multivariate space, influence model uncertainty and regional-to-global estimates. Finally, we discuss future approaches to estimate global Rs, network opportunities for expanding the GSRD, and where new measurements are needed across the world.
How to cite: Vargas, R., Warner, D., Stell, E., Bond-Lamberty, B., and Jian, J.: Global soil respiration: patterns, challenges and network opportunities, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10965, https://doi.org/10.5194/egusphere-egu2020-10965, 2020.
Soil respiration (Rs) is the soil‐to‐atmosphere CO2 efflux produced by microbes and plant roots and is a critical component for the global carbon budget. We present state-of-the-art approaches to estimate global soil respiration at 1 km spatial resolution using the global Soil Respiration Database (GSRD) and machine learning techniques. Patterns of Rs are evident at the global scale and we report an annual estimate of 87.9 Pg C/year with an associated global uncertainty of 18.6 (mean absolute error) and 40.4 (root mean square error) Pg C/year. Global heterotrophic respiration (Rh), the microbial decomposition of soil organic matter, could be derived from empirical relationships with Rs with a global estimate of 49.7 Pg C/year. We discuss how these global estimates and patterns are influenced by adding new measurements as we compared the GSRD version 3 with version 4. This comparison raises challenges about how adding new information, within a multivariate space, influence model uncertainty and regional-to-global estimates. Finally, we discuss future approaches to estimate global Rs, network opportunities for expanding the GSRD, and where new measurements are needed across the world.
How to cite: Vargas, R., Warner, D., Stell, E., Bond-Lamberty, B., and Jian, J.: Global soil respiration: patterns, challenges and network opportunities, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10965, https://doi.org/10.5194/egusphere-egu2020-10965, 2020.
EGU2020-3365 | Displays | BG3.3
The influence of soil structure on heterotrophic respiration response to soil water contentMichael Herbst, Wolfgang Tappe, Sirgit Kummer, and Harry Vereecken
Soil respiration causes one of the largest terrestrial carbon fluxes and its accurate prediction is still a matter of on-going research. Understanding the functional link between soil heterotrophic respiration and soil water content is relevant for the estimation of climate change impacts on soil CO2 emissions.
In order to quantify the effect of air-drying and sieving with 2 mm meshes on the soil heterotrophic respiration response to water content we incubated intact cores and sieved samples of two loamy and two sandy agricultural topsoils for six levels of effective soil water saturation. We further measured soil textural properties and the soil water retention characteristics of the soils with the aim to identify potential correlations between soil physical parameters and moisture sensitivity functions of heterotrophic respiration.
The incubation of sieved and intact soils showed distinct differences in the response of soil heterotrophic respiration to soil water saturation. The sieved soils exposed threshold-type behaviour, whereas the undisturbed soils exposed a quadratic increase of heterotrophic respiration with increasing effective soil water content. Additionally, we found significant correlations between the moisture response functions of the undisturbed soils and soil textural properties.
From the comparison of intact and sieved soil incubations we conclude that the destruction of soil structure by sieving hampers the transferability of measured soil moisture response of heterotrophic respiration to real-world conditions. For modelling purposes we suggest the use of a quadratic function between relative respiration and effective saturation for soils with a clay fraction < 20 %.
How to cite: Herbst, M., Tappe, W., Kummer, S., and Vereecken, H.: The influence of soil structure on heterotrophic respiration response to soil water content, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3365, https://doi.org/10.5194/egusphere-egu2020-3365, 2020.
Soil respiration causes one of the largest terrestrial carbon fluxes and its accurate prediction is still a matter of on-going research. Understanding the functional link between soil heterotrophic respiration and soil water content is relevant for the estimation of climate change impacts on soil CO2 emissions.
In order to quantify the effect of air-drying and sieving with 2 mm meshes on the soil heterotrophic respiration response to water content we incubated intact cores and sieved samples of two loamy and two sandy agricultural topsoils for six levels of effective soil water saturation. We further measured soil textural properties and the soil water retention characteristics of the soils with the aim to identify potential correlations between soil physical parameters and moisture sensitivity functions of heterotrophic respiration.
The incubation of sieved and intact soils showed distinct differences in the response of soil heterotrophic respiration to soil water saturation. The sieved soils exposed threshold-type behaviour, whereas the undisturbed soils exposed a quadratic increase of heterotrophic respiration with increasing effective soil water content. Additionally, we found significant correlations between the moisture response functions of the undisturbed soils and soil textural properties.
From the comparison of intact and sieved soil incubations we conclude that the destruction of soil structure by sieving hampers the transferability of measured soil moisture response of heterotrophic respiration to real-world conditions. For modelling purposes we suggest the use of a quadratic function between relative respiration and effective saturation for soils with a clay fraction < 20 %.
How to cite: Herbst, M., Tappe, W., Kummer, S., and Vereecken, H.: The influence of soil structure on heterotrophic respiration response to soil water content, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3365, https://doi.org/10.5194/egusphere-egu2020-3365, 2020.
EGU2020-11994 | Displays | BG3.3
Unraveling the Molecular Mechanisms Underlying the Microbiome Response to Soil RewettingMary Lipton, Montana Smith, Karl Weitz, Sneha Couvillion, Vanessa Paurus, Thomas Metz, Janet Jansson, and Kirsten Hofmockel
Soil microbes are highly sensitive to changes in their environment, and rapidly measuring their responses is necessary to fully understand the biological processes. Drought is one of the most common environmental stresses that soil microbiomes experience, and it is important to understand the mechanisms by which the soil microbiome respond to soil dehydration. We used 13C as a tracer of nutrient fluxes in desiccated soil microbiomes after rewetting to simultaneously measure aerobic respiration and track the metabolic state of the community. Here, we describe a Real Time Mass Spectrometry (RTMS) approach for rapid gas monitoring combined with omics approaches to track 13C flow through a soil system.
The mechanism(s) behind the burst of rapid mineralization of soil organic matter and increased rate of CO2 release upon rewetting dry soil (termed the ‘Birch Effect’) are yet to be fully defined. One known mechanism used by microbes to protect against dehydration is the production of intracellular compounds known as osmolytes. We evaluated metabolic mechanisms produced upon rewetting a marginal soil testing the hypothesis that the rapid release of CO2 arises from the microbial processing of putative intracellular osmolytes that build up during desiccation. RTMS allows for the simultaneous, rapid and fine scale (every 2 sec) evaluation and deconvolution of the production and consumption of a number of gasses including 12CO2,13CO2, O2, N2 and H2O. We compared the hydration response (production of CO2 in real time) between the addition of water and 13C labeled glucose dissolved in water. The initial burst of 12CO2 followed by a leveling off was identical in both treatments with an additional larger increase in 13CO2 about 20 minutes later in the 13C labeled glucose experiment. Examination of the two minutes after the water addition revealed a rapid rate of 12CO2 (38 sec) and H2O (47 sec) production and slow rate of 13CO2 (56 sec) production followed by the consumption of O2 (67 sec) and N2 (73 sec). Evaluation of the soil metabolomes at specified time points within 3 hours after wetting revealed the immediate release of sugars from the cells into the extracellular matrix. These results provide evidence for respiration of putative intracellular osmolytes as one driving mechanism of the Birch Effect.
How to cite: Lipton, M., Smith, M., Weitz, K., Couvillion, S., Paurus, V., Metz, T., Jansson, J., and Hofmockel, K.: Unraveling the Molecular Mechanisms Underlying the Microbiome Response to Soil Rewetting, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11994, https://doi.org/10.5194/egusphere-egu2020-11994, 2020.
Soil microbes are highly sensitive to changes in their environment, and rapidly measuring their responses is necessary to fully understand the biological processes. Drought is one of the most common environmental stresses that soil microbiomes experience, and it is important to understand the mechanisms by which the soil microbiome respond to soil dehydration. We used 13C as a tracer of nutrient fluxes in desiccated soil microbiomes after rewetting to simultaneously measure aerobic respiration and track the metabolic state of the community. Here, we describe a Real Time Mass Spectrometry (RTMS) approach for rapid gas monitoring combined with omics approaches to track 13C flow through a soil system.
The mechanism(s) behind the burst of rapid mineralization of soil organic matter and increased rate of CO2 release upon rewetting dry soil (termed the ‘Birch Effect’) are yet to be fully defined. One known mechanism used by microbes to protect against dehydration is the production of intracellular compounds known as osmolytes. We evaluated metabolic mechanisms produced upon rewetting a marginal soil testing the hypothesis that the rapid release of CO2 arises from the microbial processing of putative intracellular osmolytes that build up during desiccation. RTMS allows for the simultaneous, rapid and fine scale (every 2 sec) evaluation and deconvolution of the production and consumption of a number of gasses including 12CO2,13CO2, O2, N2 and H2O. We compared the hydration response (production of CO2 in real time) between the addition of water and 13C labeled glucose dissolved in water. The initial burst of 12CO2 followed by a leveling off was identical in both treatments with an additional larger increase in 13CO2 about 20 minutes later in the 13C labeled glucose experiment. Examination of the two minutes after the water addition revealed a rapid rate of 12CO2 (38 sec) and H2O (47 sec) production and slow rate of 13CO2 (56 sec) production followed by the consumption of O2 (67 sec) and N2 (73 sec). Evaluation of the soil metabolomes at specified time points within 3 hours after wetting revealed the immediate release of sugars from the cells into the extracellular matrix. These results provide evidence for respiration of putative intracellular osmolytes as one driving mechanism of the Birch Effect.
How to cite: Lipton, M., Smith, M., Weitz, K., Couvillion, S., Paurus, V., Metz, T., Jansson, J., and Hofmockel, K.: Unraveling the Molecular Mechanisms Underlying the Microbiome Response to Soil Rewetting, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11994, https://doi.org/10.5194/egusphere-egu2020-11994, 2020.
EGU2020-8447 | Displays | BG3.3
Plants possibility to control soil gas exchanges via mucilageAdrian Haupenthal, Jonas Bentz, Mathilde Brax, Klaus Schuetzenmeister, Hermann Jungkunst, and Eva Kroener
Gaseous matter exchanges in soil are determined by the connectivity of the pore system which is easily clogged by fresh root exudates. However, it remains unclear how a hydrogel (e.g. mucilage) affects soil pore tortuosity when drying. The aim of this study is to obtain a better understanding of gas diffusion processes in the rhizosphere by explaining patterns formed by drying mucilage.
We measured oxygen diffusion through a soil-mucilage mixture after drying using a diffusion chamber experiment. Therefore we mixed soil with different particle size with various amounts of mucilage. Afterwards we saturated the soil and measured the gas diffusion coefficient during drying.
We found that mucilage decreases gas diffusion coefficient in dry soil without significantly altering bulk density and porosity. Electron microscopy indicate that during drying mucilage forms filaments and interconnected structures throughout the pore space. Exudation of mucilage may be a plant possibility to actively alter gas diffusion in soil.
How to cite: Haupenthal, A., Bentz, J., Brax, M., Schuetzenmeister, K., Jungkunst, H., and Kroener, E.: Plants possibility to control soil gas exchanges via mucilage, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8447, https://doi.org/10.5194/egusphere-egu2020-8447, 2020.
Gaseous matter exchanges in soil are determined by the connectivity of the pore system which is easily clogged by fresh root exudates. However, it remains unclear how a hydrogel (e.g. mucilage) affects soil pore tortuosity when drying. The aim of this study is to obtain a better understanding of gas diffusion processes in the rhizosphere by explaining patterns formed by drying mucilage.
We measured oxygen diffusion through a soil-mucilage mixture after drying using a diffusion chamber experiment. Therefore we mixed soil with different particle size with various amounts of mucilage. Afterwards we saturated the soil and measured the gas diffusion coefficient during drying.
We found that mucilage decreases gas diffusion coefficient in dry soil without significantly altering bulk density and porosity. Electron microscopy indicate that during drying mucilage forms filaments and interconnected structures throughout the pore space. Exudation of mucilage may be a plant possibility to actively alter gas diffusion in soil.
How to cite: Haupenthal, A., Bentz, J., Brax, M., Schuetzenmeister, K., Jungkunst, H., and Kroener, E.: Plants possibility to control soil gas exchanges via mucilage, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8447, https://doi.org/10.5194/egusphere-egu2020-8447, 2020.
EGU2020-21621 | Displays | BG3.3
Greenhouse gas fluxes of Wadden Sea salt marshes strongly vary among different vegetation zonesMiriam Fuss, Norman Rueggen, Peter Mueller, Stefanie Nolte, and Lars Kutzbach
Salt marshes are highly valuable Blue Carbon ecosystems in the transition zone between marine and terrestrial environments. They play an important role in mitigating climate change due to high carbon sequestration rates through photosynthetic CO2 uptake. However, it is poorly understood when and under which conditions they act as sinks or sources for other greenhouse gases like CH4 and N2O. A complex interplay of abiotic and biotic factors characterizes the biogeochemistry of these dynamic coastal wetland ecosystems. This interplay is in turn controlled by elevation in respect to mean high water level and the resulting inundation frequency.
We measured land‑atmosphere fluxes of CH4, N2O and CO2 due to ecosystem respiration at Hamburger Hallig, North Frisia, Germany, combining a closed chamber approach with in situ‑measurements of a portable Fourier transform infrared absorption spectrometer (DX4015, Gasmet). Biweekly (Apr-Sept) and monthly (Oct-Mar) campaigns have started in December 2018 and cover the whole elevational gradient from the pioneer zone over the low marsh up to the high marsh.
While ecosystem respiration showed high variability over the seasonal course with fluxes up to +67 mmol*h-1*m-2, CH4 and N2O fluxes indicated a strong dependence on elevation and thus vegetation zone. Emissions of CH4 occurred only in the most frequently flooded pioneer zone (+0.17 to +0.35 µmol*h-1*m-2), whereas the less frequently flooded zones of the low and high marsh acted as CH4 sinks (down to -1.1 µmol*h-1*m-2). Contrastingly, N2O solely showed positive fluxes (up to +1.0 µmol*h-1*m-2) in the high marsh and the more frequently flooded zones acted as sinks for N2O (down to ‑0.21 µmol*h-1*m-2). Air temperature and tidal sea water level fluctuations could already be identified as additional environmental drivers of varying greenhouse gas fluxes. Further analysis of abiotic and biotic driver variables will elucidate their impact in detail.
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 in certain vegetation zones, emphasizing their important role in mitigating global warming.
How to cite: Fuss, M., Rueggen, N., Mueller, P., Nolte, S., and Kutzbach, L.: Greenhouse gas fluxes of Wadden Sea salt marshes strongly vary among different vegetation zones, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21621, https://doi.org/10.5194/egusphere-egu2020-21621, 2020.
Salt marshes are highly valuable Blue Carbon ecosystems in the transition zone between marine and terrestrial environments. They play an important role in mitigating climate change due to high carbon sequestration rates through photosynthetic CO2 uptake. However, it is poorly understood when and under which conditions they act as sinks or sources for other greenhouse gases like CH4 and N2O. A complex interplay of abiotic and biotic factors characterizes the biogeochemistry of these dynamic coastal wetland ecosystems. This interplay is in turn controlled by elevation in respect to mean high water level and the resulting inundation frequency.
We measured land‑atmosphere fluxes of CH4, N2O and CO2 due to ecosystem respiration at Hamburger Hallig, North Frisia, Germany, combining a closed chamber approach with in situ‑measurements of a portable Fourier transform infrared absorption spectrometer (DX4015, Gasmet). Biweekly (Apr-Sept) and monthly (Oct-Mar) campaigns have started in December 2018 and cover the whole elevational gradient from the pioneer zone over the low marsh up to the high marsh.
While ecosystem respiration showed high variability over the seasonal course with fluxes up to +67 mmol*h-1*m-2, CH4 and N2O fluxes indicated a strong dependence on elevation and thus vegetation zone. Emissions of CH4 occurred only in the most frequently flooded pioneer zone (+0.17 to +0.35 µmol*h-1*m-2), whereas the less frequently flooded zones of the low and high marsh acted as CH4 sinks (down to -1.1 µmol*h-1*m-2). Contrastingly, N2O solely showed positive fluxes (up to +1.0 µmol*h-1*m-2) in the high marsh and the more frequently flooded zones acted as sinks for N2O (down to ‑0.21 µmol*h-1*m-2). Air temperature and tidal sea water level fluctuations could already be identified as additional environmental drivers of varying greenhouse gas fluxes. Further analysis of abiotic and biotic driver variables will elucidate their impact in detail.
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 in certain vegetation zones, emphasizing their important role in mitigating global warming.
How to cite: Fuss, M., Rueggen, N., Mueller, P., Nolte, S., and Kutzbach, L.: Greenhouse gas fluxes of Wadden Sea salt marshes strongly vary among different vegetation zones, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21621, https://doi.org/10.5194/egusphere-egu2020-21621, 2020.
EGU2020-10997 | Displays | BG3.3
Rewet or not – insights on spatiotemporal patterns of greenhouse gas fluxes from soils in a rewetted Danish forested wetlandKlaus Steenberg Larsen and Jesper Riis Christiansen
Previously drained forested wetlands around the world are being restored for biodiversity, but our knowledge on the impact of restored hydrology on the total greenhouse gas (GHG) budget in these systems remains fragmented. Whereas the reduction in the net CO2 emission upon rewetting is well documented, the magnitude of the effect on the microbial production of CH4 and N2O is much more uncertain. This is partly because GHG fluxes, especially for CH4 and N2O, exhibit a highly dynamic spatiotemporal variation tied to the soil hydrological regime. To capture this variation properly a high number of flux measurements in time and space is needed, but many field studies are still highly limited in terms of their spatio-temporal coverage. This hiatus of field data is a primary source of uncertainty in model projections of impacts on the GHG budgets when restoring natural hydrology in drained wetlands.
We use a novel automatic chamber measurement system (SkyLine2D) connected to a Picarro G2508 analyzer for CO2, CH4 and N2O flux measurements in a rewetted Danish forest wetland. With this system, we wish to resolve the little known spatio-temporal patterns of these GHGs and their relationship with environmental drivers such as soil moisture, water table, temperature, and soil carbon content. A total of 30 measurement plots, each measured 5 times per day over a period approaching 1 year (> 40,000 measurements), were placed along a 30 meter transect covering a soil hydrological gradient including well-drained, waterlogged and open water conditions. The gradient also spans a soil carbon gradient increasing from well-drained mineral soils, over gleysols to waterlogged histosols.
Based on the novel, high-frequency flux data of CO2, CH4 and N2O we will present a detailed analysis of the relationship with soil hydrology and temperature over periods spanning from hours to months. The data produced by this gradient approach combined with automated measurements represents an important step towards developing improved ecosystems models that can better predict the GHG effect of rewetting previously drained wetlands.
How to cite: Larsen, K. S. and Christiansen, J. R.: Rewet or not – insights on spatiotemporal patterns of greenhouse gas fluxes from soils in a rewetted Danish forested wetland, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10997, https://doi.org/10.5194/egusphere-egu2020-10997, 2020.
Previously drained forested wetlands around the world are being restored for biodiversity, but our knowledge on the impact of restored hydrology on the total greenhouse gas (GHG) budget in these systems remains fragmented. Whereas the reduction in the net CO2 emission upon rewetting is well documented, the magnitude of the effect on the microbial production of CH4 and N2O is much more uncertain. This is partly because GHG fluxes, especially for CH4 and N2O, exhibit a highly dynamic spatiotemporal variation tied to the soil hydrological regime. To capture this variation properly a high number of flux measurements in time and space is needed, but many field studies are still highly limited in terms of their spatio-temporal coverage. This hiatus of field data is a primary source of uncertainty in model projections of impacts on the GHG budgets when restoring natural hydrology in drained wetlands.
We use a novel automatic chamber measurement system (SkyLine2D) connected to a Picarro G2508 analyzer for CO2, CH4 and N2O flux measurements in a rewetted Danish forest wetland. With this system, we wish to resolve the little known spatio-temporal patterns of these GHGs and their relationship with environmental drivers such as soil moisture, water table, temperature, and soil carbon content. A total of 30 measurement plots, each measured 5 times per day over a period approaching 1 year (> 40,000 measurements), were placed along a 30 meter transect covering a soil hydrological gradient including well-drained, waterlogged and open water conditions. The gradient also spans a soil carbon gradient increasing from well-drained mineral soils, over gleysols to waterlogged histosols.
Based on the novel, high-frequency flux data of CO2, CH4 and N2O we will present a detailed analysis of the relationship with soil hydrology and temperature over periods spanning from hours to months. The data produced by this gradient approach combined with automated measurements represents an important step towards developing improved ecosystems models that can better predict the GHG effect of rewetting previously drained wetlands.
How to cite: Larsen, K. S. and Christiansen, J. R.: Rewet or not – insights on spatiotemporal patterns of greenhouse gas fluxes from soils in a rewetted Danish forested wetland, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10997, https://doi.org/10.5194/egusphere-egu2020-10997, 2020.
EGU2020-1483 | Displays | BG3.3
Evaluation of two process-based models used to estimate global CH4 emissions from natural wetlandsTingting Li
Reliable models are required to estimate global wetland CH4 emissions. This study aimed to test two process-based models, CH4MODwetland and TEM, against the CH4 flux measurements of marsh, swamps, peatland and coastal wetland sites across the world; specifically, model accuracy and generality were evaluated for different wetland types and in different continents, and then the global CH4 emissions from 2000 to 2010 were estimated. Both models showed similar high correlations with the observed seasonal CH4 emissions, and the regression of the observed versus computed total seasonal CH4 emissions resulted in R2 values of 0.78 and 0.72 by CH4MODwetland and TEM, respectively. The CH4MODwetland predicted more accurately in marsh, peatland and coastal wetlands, with model efficiency (EF) values of 0.22, 0.55 and 0.72, respectively; however, the model showed poor performance in swamps (EF<0). The TEM model predicted better in peatland and swamp, with EF values of 0.77 and 0.71, respectively, but it could not accurately simulate the marsh and coastal wetland (EF<0). There was a good correlation between the simulated CH4 fluxes and the observed values on most continents. However, CH4MODwetland showed no correlation with the observed values in South America and Africa. TEM showed no correlation with the observations in Europe. The global CH4 emissions for the period 2000–2010 were estimated to be 105.31±2.72 Tg yr-1 by CH4MODwetland and 134.31±0.84 Tg yr-1 by TEM. Both models simulated a similar spatial distribution of CH4 emissions across the world and among continents. Marsh contributes 36%–39% to global CH4 emissions. Lakes and rivers and swamp are the second and third contributors, respectively. Other wetland types account for only approximately 20% of global emissions. Based on the models’ generality, if we use the more accurate model to estimate each continent/wetland type, we obtain a new assessment of 116.99–124.74 Tg yr-1 for the global CH4 emissions for the period 2000–2010.
How to cite: Li, T.: Evaluation of two process-based models used to estimate global CH4 emissions from natural wetlands, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1483, https://doi.org/10.5194/egusphere-egu2020-1483, 2020.
Reliable models are required to estimate global wetland CH4 emissions. This study aimed to test two process-based models, CH4MODwetland and TEM, against the CH4 flux measurements of marsh, swamps, peatland and coastal wetland sites across the world; specifically, model accuracy and generality were evaluated for different wetland types and in different continents, and then the global CH4 emissions from 2000 to 2010 were estimated. Both models showed similar high correlations with the observed seasonal CH4 emissions, and the regression of the observed versus computed total seasonal CH4 emissions resulted in R2 values of 0.78 and 0.72 by CH4MODwetland and TEM, respectively. The CH4MODwetland predicted more accurately in marsh, peatland and coastal wetlands, with model efficiency (EF) values of 0.22, 0.55 and 0.72, respectively; however, the model showed poor performance in swamps (EF<0). The TEM model predicted better in peatland and swamp, with EF values of 0.77 and 0.71, respectively, but it could not accurately simulate the marsh and coastal wetland (EF<0). There was a good correlation between the simulated CH4 fluxes and the observed values on most continents. However, CH4MODwetland showed no correlation with the observed values in South America and Africa. TEM showed no correlation with the observations in Europe. The global CH4 emissions for the period 2000–2010 were estimated to be 105.31±2.72 Tg yr-1 by CH4MODwetland and 134.31±0.84 Tg yr-1 by TEM. Both models simulated a similar spatial distribution of CH4 emissions across the world and among continents. Marsh contributes 36%–39% to global CH4 emissions. Lakes and rivers and swamp are the second and third contributors, respectively. Other wetland types account for only approximately 20% of global emissions. Based on the models’ generality, if we use the more accurate model to estimate each continent/wetland type, we obtain a new assessment of 116.99–124.74 Tg yr-1 for the global CH4 emissions for the period 2000–2010.
How to cite: Li, T.: Evaluation of two process-based models used to estimate global CH4 emissions from natural wetlands, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1483, https://doi.org/10.5194/egusphere-egu2020-1483, 2020.
EGU2020-11643 | Displays | BG3.3
Greenhouse gas emissions mitigation with alternate wetting and drying irrigation of rice agricultureBenjamin R.K. Runkle, Arlene Adviento-Borbe, Michele L. Reba, Beatriz Moreno-García, Sandhya Karki, Oluwayinka Iseyemi, Kosana Suvočarev, Colby W. Reavis, and Bennett E. Barr
Rice production contributes roughly 11% of global CH4 anthropogenic emissions while producing food for over 3 billion people. The alternate wetting and drying (AWD) irrigation practice for rice has the potential to conserve water while reducing CH4 emissions through the deliberate, periodic introduction of aerobic soil conditions. Our work in the US Mid-South rice production region has demonstrated, using the eddy covariance method on adjacent fields, that AWD can reduce field CH4 emissions by about 66% without impacting yield. In any strategy, CO2 and N2O emissions should also be monitored to take advantage of the high carbon sequestration potential of rice and low potential N2O emissions. Careful water and fertilizer management can theoretically keep N2O emissions low. All three gases should be managed together, while sustaining or improving harvest yield, to create a sustainable rice production system.
We now present 5 years of closed chamber measurements of N2O and CH4 and compare them to the eddy covariance measurements of CH4 and CO2 to derive a more thorough perspective on the net greenhouse gas (GHG) emissions or global warming potential basis of rice production from the highly productive, mechanized, humid, US Mid-South. Global warming potential of GHG emissions from rice systems was dominated by CH4 emissions (74 to 100%), hence mitigating efforts need to focus on CH4 emissions. Greater reduction of CH4 emissions can be achieved by proper AWD management practice combined with adequate N fertilization. We end with a comment on the upcoming challenge of how to sequester CO2 uptake as soil organic matter via litter incorporation without increasing CH4 emissions.
How to cite: Runkle, B. R. K., Adviento-Borbe, A., Reba, M. L., Moreno-García, B., Karki, S., Iseyemi, O., Suvočarev, K., Reavis, C. W., and Barr, B. E.: Greenhouse gas emissions mitigation with alternate wetting and drying irrigation of rice agriculture, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11643, https://doi.org/10.5194/egusphere-egu2020-11643, 2020.
Rice production contributes roughly 11% of global CH4 anthropogenic emissions while producing food for over 3 billion people. The alternate wetting and drying (AWD) irrigation practice for rice has the potential to conserve water while reducing CH4 emissions through the deliberate, periodic introduction of aerobic soil conditions. Our work in the US Mid-South rice production region has demonstrated, using the eddy covariance method on adjacent fields, that AWD can reduce field CH4 emissions by about 66% without impacting yield. In any strategy, CO2 and N2O emissions should also be monitored to take advantage of the high carbon sequestration potential of rice and low potential N2O emissions. Careful water and fertilizer management can theoretically keep N2O emissions low. All three gases should be managed together, while sustaining or improving harvest yield, to create a sustainable rice production system.
We now present 5 years of closed chamber measurements of N2O and CH4 and compare them to the eddy covariance measurements of CH4 and CO2 to derive a more thorough perspective on the net greenhouse gas (GHG) emissions or global warming potential basis of rice production from the highly productive, mechanized, humid, US Mid-South. Global warming potential of GHG emissions from rice systems was dominated by CH4 emissions (74 to 100%), hence mitigating efforts need to focus on CH4 emissions. Greater reduction of CH4 emissions can be achieved by proper AWD management practice combined with adequate N fertilization. We end with a comment on the upcoming challenge of how to sequester CO2 uptake as soil organic matter via litter incorporation without increasing CH4 emissions.
How to cite: Runkle, B. R. K., Adviento-Borbe, A., Reba, M. L., Moreno-García, B., Karki, S., Iseyemi, O., Suvočarev, K., Reavis, C. W., and Barr, B. E.: Greenhouse gas emissions mitigation with alternate wetting and drying irrigation of rice agriculture, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11643, https://doi.org/10.5194/egusphere-egu2020-11643, 2020.
EGU2020-12856 | Displays | BG3.3
Ammonia, carbon dioxide and methane in Mediterranean paddy fields along the 2019 crop seasonCarme Estruch, Roger Curcoll, Marta Borrós, Alba Àgueda, and Josep-Anton Morguí
Human activities implying land management are potential sources of greenhouse gases (GHGs) such as carbon dioxide (CO2) and methane (CH4). In addition, agricultural management practices enhances the presence of reactive gases in the atmosphere such as ammonia (NH3). Knowing the atmospheric variability of gases in relation to the different stages of the rice culture cycle and other anthropic activities could help to improve GHGs' mitigation strategies in deltas.
A mobile survey was undertaken through 2019 in the Ebro Delta as a part of the ClimaDat Network project (DEC station, www.climadat.es), to study the effect of land management in the spatial and temporal variability of greenhouse gases and NH3 concentrations. We are broadening the scope of a survey undertaken in 2012 (Àgueda et al. 2017). In the new survey we increased the total number of transects and longitude every three weeks during a year, starting in December 2018.
Whereas atmospheric NH3 concentration links with diurnal and seasonal cycles, the distribution of CO2 and CH4 shows a combination of spatial and temporal variability. Our aim is to understand how we can use wind trajectories to find the principal sources of atmospheric variability. That is, can wind direction improve our comprehension of metabolic processes occurring in paddy lands? In this work, we use wind trajectories as means of spatial classification, to explore the spatiotemporal dynamic affecting the potential of CO2 and CH4 atmospheric concentration.
How to cite: Estruch, C., Curcoll, R., Borrós, M., Àgueda, A., and Morguí, J.-A.: Ammonia, carbon dioxide and methane in Mediterranean paddy fields along the 2019 crop season, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12856, https://doi.org/10.5194/egusphere-egu2020-12856, 2020.
Human activities implying land management are potential sources of greenhouse gases (GHGs) such as carbon dioxide (CO2) and methane (CH4). In addition, agricultural management practices enhances the presence of reactive gases in the atmosphere such as ammonia (NH3). Knowing the atmospheric variability of gases in relation to the different stages of the rice culture cycle and other anthropic activities could help to improve GHGs' mitigation strategies in deltas.
A mobile survey was undertaken through 2019 in the Ebro Delta as a part of the ClimaDat Network project (DEC station, www.climadat.es), to study the effect of land management in the spatial and temporal variability of greenhouse gases and NH3 concentrations. We are broadening the scope of a survey undertaken in 2012 (Àgueda et al. 2017). In the new survey we increased the total number of transects and longitude every three weeks during a year, starting in December 2018.
Whereas atmospheric NH3 concentration links with diurnal and seasonal cycles, the distribution of CO2 and CH4 shows a combination of spatial and temporal variability. Our aim is to understand how we can use wind trajectories to find the principal sources of atmospheric variability. That is, can wind direction improve our comprehension of metabolic processes occurring in paddy lands? In this work, we use wind trajectories as means of spatial classification, to explore the spatiotemporal dynamic affecting the potential of CO2 and CH4 atmospheric concentration.
How to cite: Estruch, C., Curcoll, R., Borrós, M., Àgueda, A., and Morguí, J.-A.: Ammonia, carbon dioxide and methane in Mediterranean paddy fields along the 2019 crop season, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12856, https://doi.org/10.5194/egusphere-egu2020-12856, 2020.
EGU2020-4510 | Displays | BG3.3
Land use change from an annual maize cropping systems to a perennial Silphium perfoliatum crop has unused potential to reduce GHG emission in biomass productionBjörn Kemmann, Thorsten Ruf, Andreas Kirch, Christoph Emmerling, Roland Fuß, and Reinhard Well
In the last two decades, acreage for biomass production has strongly increased in Germany due to the Renewable Energy Act. Recently, discussion about soil, climate, and biodiversity protection is receiving more and more public attention throughout broad parts of the society. The project BESTLAND focuses on the effect of land use change from the common annual maize cropping system to a perennial cropping system, as a measure against increasing environmental constraints in biomass production. A suitable perennial biomass crop as an alternative for maize is S. perfoliatum (cup plant). On one hand, the yellow flowering plant produces high biomass yields and on the other hand it provides a variety of ecosystems services. Field experiments were carried out in the Saar-Nahe mountain range in the state of Saarland on a fine textured planosol. The experimental sites are characterized by temporal waterlogging and slopes and therefore these sites are prone for soil compaction and soil erosion. Under these conditions perennial crops are assumed to have soil preserving benefits. Maize was compared to cup plant by establishing four paired sites, where each pair consisted of a maize and a cup plant field in close vicinity (< 500 meters) to each other. All sites are grower fields and were managed by the farmers according best management practices. Nitrous oxide and methane fluxes were measured weekly using the static chamber technique all year round. Besides greenhouse gas measurement, soil samples for determination of soil mineral nitrogen were taken at each gas sampling date. Furthermore, soil temperature and water content were continuously monitored using sensors. Biomass yields at each site were determined at harvest. In the first year average nitrous oxide emissions from cup plant fields were lower than from maize fields by more than 70 % on area and dry matter yield basis. These results indicate that perennial bioenergy crops not only offer a wider range of ecosystem services but can also decrease GHG emissions from bioenergy production.
How to cite: Kemmann, B., Ruf, T., Kirch, A., Emmerling, C., Fuß, R., and Well, R.: Land use change from an annual maize cropping systems to a perennial Silphium perfoliatum crop has unused potential to reduce GHG emission in biomass production, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4510, https://doi.org/10.5194/egusphere-egu2020-4510, 2020.
In the last two decades, acreage for biomass production has strongly increased in Germany due to the Renewable Energy Act. Recently, discussion about soil, climate, and biodiversity protection is receiving more and more public attention throughout broad parts of the society. The project BESTLAND focuses on the effect of land use change from the common annual maize cropping system to a perennial cropping system, as a measure against increasing environmental constraints in biomass production. A suitable perennial biomass crop as an alternative for maize is S. perfoliatum (cup plant). On one hand, the yellow flowering plant produces high biomass yields and on the other hand it provides a variety of ecosystems services. Field experiments were carried out in the Saar-Nahe mountain range in the state of Saarland on a fine textured planosol. The experimental sites are characterized by temporal waterlogging and slopes and therefore these sites are prone for soil compaction and soil erosion. Under these conditions perennial crops are assumed to have soil preserving benefits. Maize was compared to cup plant by establishing four paired sites, where each pair consisted of a maize and a cup plant field in close vicinity (< 500 meters) to each other. All sites are grower fields and were managed by the farmers according best management practices. Nitrous oxide and methane fluxes were measured weekly using the static chamber technique all year round. Besides greenhouse gas measurement, soil samples for determination of soil mineral nitrogen were taken at each gas sampling date. Furthermore, soil temperature and water content were continuously monitored using sensors. Biomass yields at each site were determined at harvest. In the first year average nitrous oxide emissions from cup plant fields were lower than from maize fields by more than 70 % on area and dry matter yield basis. These results indicate that perennial bioenergy crops not only offer a wider range of ecosystem services but can also decrease GHG emissions from bioenergy production.
How to cite: Kemmann, B., Ruf, T., Kirch, A., Emmerling, C., Fuß, R., and Well, R.: Land use change from an annual maize cropping systems to a perennial Silphium perfoliatum crop has unused potential to reduce GHG emission in biomass production, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4510, https://doi.org/10.5194/egusphere-egu2020-4510, 2020.
EGU2020-21299 | Displays | BG3.3
Nitrous oxide and methane emissions from cattle manure heaps in KenyaSonja Leitner, Donal Ring, George Wanyama, Daniel Korir, David Pelster, John Goopy, and Lutz Merbold
Agricultural greenhouse gas (GHG) emissions in Africa contribute 15 % to the global total agricultural emissions, which is in the same range as agricultural emissions from Europe. The majority of these agricultural GHG emissions is attributed to livestock farming (up to 80 % at national scale), of which 10-25 % originate from livestock manure. At the same time, livestock production is essential for the livelihoods of millions of people in Sub-Saharan Africa (SSA), where 45-80 % of livestock production occurs in smallholder systems. With the growing population in SSA, the demand for livestock products is expected to increase, and – without low-emission manure management – a rise in manure-borne GHG emissions will occur. However, reliable in situ measurements from SSA are scarce, leading to substantial uncertainties in agricultural GHG budgets and making assessments of potential mitigation options difficult.
Here we present results from two cattle manure incubation experiments in Kenya, using manure from Boran (Bos indicus) cattle, a breed common in East Africa that were fed with typical feeds used in SSA smallholder farms. Manure was collected and piled in heaps (solid storage), the most common form of manure storage in Kenyan smallholder systems, and CH4 and N2O emissions were measured over 140 days. In the first trial, cattle were fed a diet that either met their maintenance-energy requirements (i.e. animals received enough food to support their metabolism), or a diet at sub-maintenance energy levels to simulate common conditions in smallholder farming systems, particularly during the dry seasons. Cumulative manure N2O emissions from the sub-maintenance diet (i.e. the “hungry” cows) were lower than from cattle fed at maintenance energy levels. These lower N2O emission likely resulted from lower N concentration and a wider C:N ratio in the manure than in the “better fed” animals. Furthermore, the urine-N:faecal-N ratio in the “hungry” cows decreased, indicating a shift from urine-N (mostly inorganic N) to faecal-N (mostly organic N), which further backs the lower observed N2O emissions. Both N2O as well as CH4 emissions from manure were lower than the IPCC default emission factors for solid storage in tropical regions across all diets tested.
In the second trial, Boran cattle were fed with three different tropical forage grasses common in Kenya: Napier (Pennisetum purpureum), Rhodes (Gloris gayana), and Brachiaria (Brachiaria brizantha). Manure from the Rhodes grass diet had the lowest N concentration and also the lowest cumulative CH4 emissions, while N2O emissions did not differ between diets. Similar to the sub-maintenance feeding trial, total CH4 and N2O emissions were lower than the IPCC default factors. Taken together, these results are an important step towards reducing the uncertainties in GHG emissions from agriculture in SSA. Furthermore, if African nations use IPCC default values for their national GHG reporting on livestock, emissions are likely to be overestimated, highlighting the importance and benefits of localized data from Africa.
How to cite: Leitner, S., Ring, D., Wanyama, G., Korir, D., Pelster, D., Goopy, J., and Merbold, L.: Nitrous oxide and methane emissions from cattle manure heaps in Kenya, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21299, https://doi.org/10.5194/egusphere-egu2020-21299, 2020.
Agricultural greenhouse gas (GHG) emissions in Africa contribute 15 % to the global total agricultural emissions, which is in the same range as agricultural emissions from Europe. The majority of these agricultural GHG emissions is attributed to livestock farming (up to 80 % at national scale), of which 10-25 % originate from livestock manure. At the same time, livestock production is essential for the livelihoods of millions of people in Sub-Saharan Africa (SSA), where 45-80 % of livestock production occurs in smallholder systems. With the growing population in SSA, the demand for livestock products is expected to increase, and – without low-emission manure management – a rise in manure-borne GHG emissions will occur. However, reliable in situ measurements from SSA are scarce, leading to substantial uncertainties in agricultural GHG budgets and making assessments of potential mitigation options difficult.
Here we present results from two cattle manure incubation experiments in Kenya, using manure from Boran (Bos indicus) cattle, a breed common in East Africa that were fed with typical feeds used in SSA smallholder farms. Manure was collected and piled in heaps (solid storage), the most common form of manure storage in Kenyan smallholder systems, and CH4 and N2O emissions were measured over 140 days. In the first trial, cattle were fed a diet that either met their maintenance-energy requirements (i.e. animals received enough food to support their metabolism), or a diet at sub-maintenance energy levels to simulate common conditions in smallholder farming systems, particularly during the dry seasons. Cumulative manure N2O emissions from the sub-maintenance diet (i.e. the “hungry” cows) were lower than from cattle fed at maintenance energy levels. These lower N2O emission likely resulted from lower N concentration and a wider C:N ratio in the manure than in the “better fed” animals. Furthermore, the urine-N:faecal-N ratio in the “hungry” cows decreased, indicating a shift from urine-N (mostly inorganic N) to faecal-N (mostly organic N), which further backs the lower observed N2O emissions. Both N2O as well as CH4 emissions from manure were lower than the IPCC default emission factors for solid storage in tropical regions across all diets tested.
In the second trial, Boran cattle were fed with three different tropical forage grasses common in Kenya: Napier (Pennisetum purpureum), Rhodes (Gloris gayana), and Brachiaria (Brachiaria brizantha). Manure from the Rhodes grass diet had the lowest N concentration and also the lowest cumulative CH4 emissions, while N2O emissions did not differ between diets. Similar to the sub-maintenance feeding trial, total CH4 and N2O emissions were lower than the IPCC default factors. Taken together, these results are an important step towards reducing the uncertainties in GHG emissions from agriculture in SSA. Furthermore, if African nations use IPCC default values for their national GHG reporting on livestock, emissions are likely to be overestimated, highlighting the importance and benefits of localized data from Africa.
How to cite: Leitner, S., Ring, D., Wanyama, G., Korir, D., Pelster, D., Goopy, J., and Merbold, L.: Nitrous oxide and methane emissions from cattle manure heaps in Kenya, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21299, https://doi.org/10.5194/egusphere-egu2020-21299, 2020.
EGU2020-955 | Displays | BG3.3
Detecting small scale spatial heterogeneity and short-term temporal variability of CO2 flux dynamics in agricultural used landscapes using a robotic chamber systemShrijana Vaidya, Juergen Augustin, Michael Sommer, Marten Schmidt, Peter Rakowski, and Mathias Hoffmann
Improved agricultural practices sequestering additional atmospheric C within the soil are considered as one of the potential solution for mitigating global climate change. However, agricultural used landscapes are complex and their capacity to sequester additional atmospheric C might differ substantially in time and space. Hence, accurate and precise information on the complex spatio-temporal CO2 flux pattern is needed to evaluate the effects/benefits of new agricultural practices aiming towards increasing soil organic carbon.
To date, different approaches are used to measure and quantify CO2 flux dynamics of agricultural landscapes, such as e.g. eddy covariance, as well as manual and automatic chamber systems. However, all these methods fail to some extend in either accounting for small scale spatial heterogeneity (eddy covariance and automatic chambers) or short-term temporal variability (manual chambers). Although, automatic chambers are in principle capable to detect small-scale spatial differences of CO2 flux dynamics in a sufficient temporal resolution, these systems are usually limited to only a few spatial repetitions which is not sufficient to represent small scale soil heterogeneity such as present within the widespread hummocky ground moraine landscape of NE-Germany.
To overcome these challenges, we developed a novel robotic chamber system allowing to detect small-scale spatial heterogeneity and short-term temporal variability of CO2 (as well as CH4 and N2O) flux dynamics for a range of different fertilization and tillage management practices. The system is equipped with two canopy chambers, CR6 data logger, CDM-A116 analog multiplexer and multiple sensors to measure plant activity/biomass development in parallel. The measurements of the gaseous C exchange is performed by moving the system along the tracks with each chamber along one half of the gantry crane. Thus, each chamber measures 18 plots, out of 36 plots (2x3m; 12 per soil type) established in the study area.
Here, we present first CO2 flux measurement results (spring barley; 3 different soil types) using this novel system, to prove its overall accuracy and precision. Our results show clear small-scale/within field spatial pattern and short-term temporal dynamics regarding measured ecosystem respiration, net ecosystem exchange as well as derived gross primary productivity.
How to cite: Vaidya, S., Augustin, J., Sommer, M., Schmidt, M., Rakowski, P., and Hoffmann, M.: Detecting small scale spatial heterogeneity and short-term temporal variability of CO2 flux dynamics in agricultural used landscapes using a robotic chamber system , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-955, https://doi.org/10.5194/egusphere-egu2020-955, 2020.
Improved agricultural practices sequestering additional atmospheric C within the soil are considered as one of the potential solution for mitigating global climate change. However, agricultural used landscapes are complex and their capacity to sequester additional atmospheric C might differ substantially in time and space. Hence, accurate and precise information on the complex spatio-temporal CO2 flux pattern is needed to evaluate the effects/benefits of new agricultural practices aiming towards increasing soil organic carbon.
To date, different approaches are used to measure and quantify CO2 flux dynamics of agricultural landscapes, such as e.g. eddy covariance, as well as manual and automatic chamber systems. However, all these methods fail to some extend in either accounting for small scale spatial heterogeneity (eddy covariance and automatic chambers) or short-term temporal variability (manual chambers). Although, automatic chambers are in principle capable to detect small-scale spatial differences of CO2 flux dynamics in a sufficient temporal resolution, these systems are usually limited to only a few spatial repetitions which is not sufficient to represent small scale soil heterogeneity such as present within the widespread hummocky ground moraine landscape of NE-Germany.
To overcome these challenges, we developed a novel robotic chamber system allowing to detect small-scale spatial heterogeneity and short-term temporal variability of CO2 (as well as CH4 and N2O) flux dynamics for a range of different fertilization and tillage management practices. The system is equipped with two canopy chambers, CR6 data logger, CDM-A116 analog multiplexer and multiple sensors to measure plant activity/biomass development in parallel. The measurements of the gaseous C exchange is performed by moving the system along the tracks with each chamber along one half of the gantry crane. Thus, each chamber measures 18 plots, out of 36 plots (2x3m; 12 per soil type) established in the study area.
Here, we present first CO2 flux measurement results (spring barley; 3 different soil types) using this novel system, to prove its overall accuracy and precision. Our results show clear small-scale/within field spatial pattern and short-term temporal dynamics regarding measured ecosystem respiration, net ecosystem exchange as well as derived gross primary productivity.
How to cite: Vaidya, S., Augustin, J., Sommer, M., Schmidt, M., Rakowski, P., and Hoffmann, M.: Detecting small scale spatial heterogeneity and short-term temporal variability of CO2 flux dynamics in agricultural used landscapes using a robotic chamber system , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-955, https://doi.org/10.5194/egusphere-egu2020-955, 2020.
EGU2020-6618 | Displays | BG3.3
CO2 fluxes and carbon balance of an agricultural grassland in southern FinlandLaura Heimsch, Annalea Lohila, Liisa Kulmala, Juha-Pekka Tuovinen, Mika Korkiakoski, Tuomas Laurila, and Jari Liski
Agriculture is globally a significant source of carbon emissions to the atmosphere. Main causes for these high emissions are conventional intensive management practices which include such as frequent ploughing, monocropping and high use of agrochemicals. These practices contribute to the loss of biodiversity and soil organic matter, as well as to the CO2 emissions from land use. Recently, it has been recognised that agriculture functioning on the basis of regenerative practices is one of the most potential tools to mitigate climate change.
It is well known that topsoil layer and especially humus-rich soils can store more carbon than atmosphere and vegetation together. Therefore, increasing the amount of soil organic matter in the agroecosystems, by applying enhanced management practices such as reduced tillage, high biodiversity and cover cropping, agricultural soils would not only help to mitigate climate change but also to restore soil quality and fertility. To understand the carbon dynamics on different agricultural sites, factors affecting and comprising the carbon balance, and to verify soil carbon and ecosystem models, continuous long-term monitoring of the GHG fluxes is essential at such managed ecosystems. Here we present results from a new eddy covariance (EC) flux study site located in southern Finland.
Continuous CO2 flux measurements using the EC method have been conducted at Qvidja farm on mineral (clay) soil forage grassland in Parainen, southern Finland (60.29550°N, 22.39281°E) since the spring 2018. Based on the flux and biomass data, the annual carbon balance was estimated to be negative, i.e. the site acted as an overall sink of carbon even in the dry and hot year 2018. However, the seasonal CO2 fluxes were greatly dependent on weather conditions and management procedures. Results from 2019 show that the growing season accompanied with more mature and dense grass, a bit higher precipitation and lower temperatures, as well as higher cutting height was more favorable for carbon uptake in Qvidja as compared to year 2018.
How to cite: Heimsch, L., Lohila, A., Kulmala, L., Tuovinen, J.-P., Korkiakoski, M., Laurila, T., and Liski, J.: CO2 fluxes and carbon balance of an agricultural grassland in southern Finland, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6618, https://doi.org/10.5194/egusphere-egu2020-6618, 2020.
Agriculture is globally a significant source of carbon emissions to the atmosphere. Main causes for these high emissions are conventional intensive management practices which include such as frequent ploughing, monocropping and high use of agrochemicals. These practices contribute to the loss of biodiversity and soil organic matter, as well as to the CO2 emissions from land use. Recently, it has been recognised that agriculture functioning on the basis of regenerative practices is one of the most potential tools to mitigate climate change.
It is well known that topsoil layer and especially humus-rich soils can store more carbon than atmosphere and vegetation together. Therefore, increasing the amount of soil organic matter in the agroecosystems, by applying enhanced management practices such as reduced tillage, high biodiversity and cover cropping, agricultural soils would not only help to mitigate climate change but also to restore soil quality and fertility. To understand the carbon dynamics on different agricultural sites, factors affecting and comprising the carbon balance, and to verify soil carbon and ecosystem models, continuous long-term monitoring of the GHG fluxes is essential at such managed ecosystems. Here we present results from a new eddy covariance (EC) flux study site located in southern Finland.
Continuous CO2 flux measurements using the EC method have been conducted at Qvidja farm on mineral (clay) soil forage grassland in Parainen, southern Finland (60.29550°N, 22.39281°E) since the spring 2018. Based on the flux and biomass data, the annual carbon balance was estimated to be negative, i.e. the site acted as an overall sink of carbon even in the dry and hot year 2018. However, the seasonal CO2 fluxes were greatly dependent on weather conditions and management procedures. Results from 2019 show that the growing season accompanied with more mature and dense grass, a bit higher precipitation and lower temperatures, as well as higher cutting height was more favorable for carbon uptake in Qvidja as compared to year 2018.
How to cite: Heimsch, L., Lohila, A., Kulmala, L., Tuovinen, J.-P., Korkiakoski, M., Laurila, T., and Liski, J.: CO2 fluxes and carbon balance of an agricultural grassland in southern Finland, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6618, https://doi.org/10.5194/egusphere-egu2020-6618, 2020.
EGU2020-5181 | Displays | BG3.3
Influence of weed cover on leaf-level CO2 and H2O fluxes in an olive groveSergio Aranda-Barranco, Andrew S Kowalski, Penélope Serrano-Ortiz, and Enrique P Sánchez-Cañete
The management of olive groves has a direct impact on the environment in the Mediterranean region since it is one of the most representative crops in this area. In order to prevent erosion and improve the physical-chemical conditions of the soil in these crops, the maintenance of weed cover in the alleys is an increasingly common practice. It increases the organic carbon content in the soil, improves biodiversity indices and enhances various ecosystem services such as pollination and infiltration. Now, the role of vegetation cover in olive groves on biogeochemical cycles is being studied. Although previous studies have quantified the combined effect of weed cover and olive trees on carbon and water at ecosystem level, the role of this conservation practice at the leaf level has not yet been explored.
The aim of this study is to quantify the effect of weed cover on the net CO2 assimilation (An) and transpiration (T) rates in an irrigated olive grove. To do this, two plots of olive trees with irrigation (Olea europea L. "Arbequina") in southeast Spain were sampled. In the weed-cover one (WC), spontaneous vegetation is maintained until it is mechanically mowed and left in place. In the weed-free (WF) a glyphosate-based herbicide is applied. The data were taken with a portable gas analyzer (LI-6800, Li-Cor) controlling the following environmental variables on olive leaves: atmospheric CO2, relative humidity, photosynthetic active radiation and temperature. One campaign per month was carried out (from January-2018 to January-2019) where 10 random trees were analysed in each treatment. In addition, an eddy covariance tower provided CO2 and H2O fluxes at ecosystem level and they were compared with the fluxes obtained from leaf-level campaigns.
The results shown significant differences for T only in the period after mowing with Twc= 2.0 ± 0.7 mmol H2O m-2s-1 vs Twf = 2.5 ± 1.0 mmol H2O m-2s-1. However, in this period ET is equal in both treatments, which suggests that the alleys with mowed weed has more ET than bare soil in the other treatment. On the other hand, there are significant differences for Anet only in the period before mowing with Anet-wc = 5.5 ± 3.1 μmol CO2 m-2s-1 vs Anet-wf = 8.0 ± 3.6 μmol CO2 m-2s-1. When the weeds are mowed, Anet is matched in both treatments. However, higher values of NEEwc than NEEwf are observed in the period before mowing. This suggest that the weed-cover olive groves at ecosystem level take up more carbon when the weed-cover is established although the leaves of olive trees are capturing less CO2.
How to cite: Aranda-Barranco, S., Kowalski, A. S., Serrano-Ortiz, P., and Sánchez-Cañete, E. P.: Influence of weed cover on leaf-level CO2 and H2O fluxes in an olive grove, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5181, https://doi.org/10.5194/egusphere-egu2020-5181, 2020.
The management of olive groves has a direct impact on the environment in the Mediterranean region since it is one of the most representative crops in this area. In order to prevent erosion and improve the physical-chemical conditions of the soil in these crops, the maintenance of weed cover in the alleys is an increasingly common practice. It increases the organic carbon content in the soil, improves biodiversity indices and enhances various ecosystem services such as pollination and infiltration. Now, the role of vegetation cover in olive groves on biogeochemical cycles is being studied. Although previous studies have quantified the combined effect of weed cover and olive trees on carbon and water at ecosystem level, the role of this conservation practice at the leaf level has not yet been explored.
The aim of this study is to quantify the effect of weed cover on the net CO2 assimilation (An) and transpiration (T) rates in an irrigated olive grove. To do this, two plots of olive trees with irrigation (Olea europea L. "Arbequina") in southeast Spain were sampled. In the weed-cover one (WC), spontaneous vegetation is maintained until it is mechanically mowed and left in place. In the weed-free (WF) a glyphosate-based herbicide is applied. The data were taken with a portable gas analyzer (LI-6800, Li-Cor) controlling the following environmental variables on olive leaves: atmospheric CO2, relative humidity, photosynthetic active radiation and temperature. One campaign per month was carried out (from January-2018 to January-2019) where 10 random trees were analysed in each treatment. In addition, an eddy covariance tower provided CO2 and H2O fluxes at ecosystem level and they were compared with the fluxes obtained from leaf-level campaigns.
The results shown significant differences for T only in the period after mowing with Twc= 2.0 ± 0.7 mmol H2O m-2s-1 vs Twf = 2.5 ± 1.0 mmol H2O m-2s-1. However, in this period ET is equal in both treatments, which suggests that the alleys with mowed weed has more ET than bare soil in the other treatment. On the other hand, there are significant differences for Anet only in the period before mowing with Anet-wc = 5.5 ± 3.1 μmol CO2 m-2s-1 vs Anet-wf = 8.0 ± 3.6 μmol CO2 m-2s-1. When the weeds are mowed, Anet is matched in both treatments. However, higher values of NEEwc than NEEwf are observed in the period before mowing. This suggest that the weed-cover olive groves at ecosystem level take up more carbon when the weed-cover is established although the leaves of olive trees are capturing less CO2.
How to cite: Aranda-Barranco, S., Kowalski, A. S., Serrano-Ortiz, P., and Sánchez-Cañete, E. P.: Influence of weed cover on leaf-level CO2 and H2O fluxes in an olive grove, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5181, https://doi.org/10.5194/egusphere-egu2020-5181, 2020.
EGU2020-3559 | Displays | BG3.3
Validation of nitrogen dry deposition modelling above a mixed forest using high-frequency flux measurementsPascal Wintjen, Frederik Schrader, Martijn Schaap, Burkhard Beudert, and Christian Brümmer
Reactive nitrogen (Nr) compounds comprise essential nutrients for plants. However, a large supply of nitrogen by fertilization through atmospheric deposition may be harmful for ecosystems such as peatlands and may lead to a loss of biodiversity, soil acidification and eutrophication. In addition, nitrogen compounds may cause adverse human health impacts. Large parts of Nr emissions originate from anthropogenic activities. Emission hotspots of ΣNr, i.e. the sum of all Nr compounds, are related to crop production and livestock farming (mainly through ammonia, NH3) and fossil fuel combustion by transport and industry (mainly through nitrogen oxides, NO2 and NO). Such additional amount of Nr will enhance its biosphere-atmosphere exchange, affect plant health and can influence its photosynthetic capacity. Therefore, it is necessary to thoroughly estimate the nitrogen exchange between biosphere and atmosphere.
For measuring the nitrogen mixing ratios a converter for reactive nitrogen (TRANC: Total Reactive Atmospheric Nitrogen Converter) was used. The TRANC converts all reactive nitrogen compounds, except for nitrous oxide (N2O), to nitric oxide (NO) and is coupled to a fast-response chemiluminescence detector (CLD). Due to a low detection limit and a response time of about 0.3s the TRANC-CLD system can be used for flux calculation based on the eddy covariance (EC) technique. Flux losses, which are related to the experimental setup, different response characteristics and the general high reactivity of most N gases and aerosols, occur in the high frequency range. We estimated damping factors of approximately 20% with an empirical cospectral approach.
For getting a reliable prediction of ΣNr fluxes through deposition models, long-term flux measurements offer the possibility to verify the nitrogen uptake capacity and to investigate exchange characteristics of ΣNr in different ecosystems.
In this study, we compare modelled dry deposition fluxes using the deposition module DEPAC (DEPosition of Acidifying Compounds) within the chemical transport model LOTOS-EUROS (LOng Term Ozone Simulation – EURopean Operational Smog) against ΣNr flux measurements of the TRANC-CLD for a remote mixed forest site with hardly any local anthropogenic emission sources. This procedure allows to determine the background load and the natural exchange characteristics of nitrogen under low atmospheric concentrations. Therefore, the broad-scale dry deposition predicted directly by LOTOS-EUROS was compared to site-specific modelling results obtained using measured meteorological input data as well as the directly measured ΣNr fluxes. In addition, the influence of land-use weighting in LOTOS-EUROS was examined. We further compare our results to ΣNr deposition estimates obtained with canopy budget techniques. Measured ΣNr dry deposition at the site was 4.5 kg N ha-1 yr-1, in close agreement with modelled estimates using DEPAC with measured drivers (5.2 kg N ha-1 yr-1) and as integrated in the chemical transport model LOTOS-EUROS (5.2 kg N ha-1 yr-1 to 6.9 kg N ha-1 yr-1 depending on the weighting of land-use classes).
Our study is the first one presenting 2.5 years flux measurements of ΣNr above a remote mixed forest. Further verifications of long-term flux measurements against deposition models are useful to improve them and result in better understanding of exchange processes of ΣNr.
How to cite: Wintjen, P., Schrader, F., Schaap, M., Beudert, B., and Brümmer, C.: Validation of nitrogen dry deposition modelling above a mixed forest using high-frequency flux measurements, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3559, https://doi.org/10.5194/egusphere-egu2020-3559, 2020.
Reactive nitrogen (Nr) compounds comprise essential nutrients for plants. However, a large supply of nitrogen by fertilization through atmospheric deposition may be harmful for ecosystems such as peatlands and may lead to a loss of biodiversity, soil acidification and eutrophication. In addition, nitrogen compounds may cause adverse human health impacts. Large parts of Nr emissions originate from anthropogenic activities. Emission hotspots of ΣNr, i.e. the sum of all Nr compounds, are related to crop production and livestock farming (mainly through ammonia, NH3) and fossil fuel combustion by transport and industry (mainly through nitrogen oxides, NO2 and NO). Such additional amount of Nr will enhance its biosphere-atmosphere exchange, affect plant health and can influence its photosynthetic capacity. Therefore, it is necessary to thoroughly estimate the nitrogen exchange between biosphere and atmosphere.
For measuring the nitrogen mixing ratios a converter for reactive nitrogen (TRANC: Total Reactive Atmospheric Nitrogen Converter) was used. The TRANC converts all reactive nitrogen compounds, except for nitrous oxide (N2O), to nitric oxide (NO) and is coupled to a fast-response chemiluminescence detector (CLD). Due to a low detection limit and a response time of about 0.3s the TRANC-CLD system can be used for flux calculation based on the eddy covariance (EC) technique. Flux losses, which are related to the experimental setup, different response characteristics and the general high reactivity of most N gases and aerosols, occur in the high frequency range. We estimated damping factors of approximately 20% with an empirical cospectral approach.
For getting a reliable prediction of ΣNr fluxes through deposition models, long-term flux measurements offer the possibility to verify the nitrogen uptake capacity and to investigate exchange characteristics of ΣNr in different ecosystems.
In this study, we compare modelled dry deposition fluxes using the deposition module DEPAC (DEPosition of Acidifying Compounds) within the chemical transport model LOTOS-EUROS (LOng Term Ozone Simulation – EURopean Operational Smog) against ΣNr flux measurements of the TRANC-CLD for a remote mixed forest site with hardly any local anthropogenic emission sources. This procedure allows to determine the background load and the natural exchange characteristics of nitrogen under low atmospheric concentrations. Therefore, the broad-scale dry deposition predicted directly by LOTOS-EUROS was compared to site-specific modelling results obtained using measured meteorological input data as well as the directly measured ΣNr fluxes. In addition, the influence of land-use weighting in LOTOS-EUROS was examined. We further compare our results to ΣNr deposition estimates obtained with canopy budget techniques. Measured ΣNr dry deposition at the site was 4.5 kg N ha-1 yr-1, in close agreement with modelled estimates using DEPAC with measured drivers (5.2 kg N ha-1 yr-1) and as integrated in the chemical transport model LOTOS-EUROS (5.2 kg N ha-1 yr-1 to 6.9 kg N ha-1 yr-1 depending on the weighting of land-use classes).
Our study is the first one presenting 2.5 years flux measurements of ΣNr above a remote mixed forest. Further verifications of long-term flux measurements against deposition models are useful to improve them and result in better understanding of exchange processes of ΣNr.
How to cite: Wintjen, P., Schrader, F., Schaap, M., Beudert, B., and Brümmer, C.: Validation of nitrogen dry deposition modelling above a mixed forest using high-frequency flux measurements, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3559, https://doi.org/10.5194/egusphere-egu2020-3559, 2020.
EGU2020-4938 | Displays | BG3.3
Emissions and ambient air concentrations of isoprene, monoterpenes and sesquiterpenes at a Northern wetlandHeidi Hellén, Simon Schallhart, Arnaud P. Praplan, Toni Tykkä, Mika Aurela, Annalea Lohila, and Hannele Hakola
Wetlands cover an area of about 2% of the total land surface area of the world and are most common in the boreal and tundra zones. Northern wetlands are important sinks for carbon dioxide and sources of methane, but knowledge on their VOC emissions is very limited. Currently, we know that northern wetlands are high isoprene emitters (e.g. Holst et al., 2010), but very little is known on the emissions of other VOCs.
We have studied VOC emissions and their ambient concentrations at a sub-Arctic wetland (Lompolojänkkä) in Northern Finland, using an in situ TD-GC-MS. For the emission measurements, a dynamic flow-through FEP chamber was used.
Earlier studies have shown that isoprene is emitted from wetlands and it turned out to be the most abundant compound in the current study also. Monoterpene (MT) emissions were generally less than 10 % of the isoprene emissions, but sesquiterpenes (SQT) emissions were surprisingly high, exceeding MT emissions at all times. Both MT and SQT emissions were dependent on temperature.
Even with the higher emissions from the wetland, ambient air concentrations of isoprene were clearly lower than MT concentrations. This indicates that wetland was not the only source affecting atmospheric concentrations at the site, but surrounding coniferous forests, which are high MT emitters, contribute as well. In May concentrations of SQTs and MTs at Lompolojänkkä were higher than in earlier boreal forest measurements in southern Finland (Hellén et al., 2018). At that time, the snow cover on the ground was melting and soil thawing and VOCs produced under the snow cover, e.g. by microbes and decaying litter, can be released to the air. Daily mean MT concentrations were very highly negatively correlated with daily mean ozone concentrations indicating that vegetation emissions can be a significant chemical sink of ozone at this sub-Arctic area.
References
Hellén, H.et al. 2018, Atmos. Chem. Phys., 18, 13839-13863, https://doi.org/10.5194/acp-18-13839-2018.
Holst, T., et al. 2010, Atmos. Chem. Phys., 10, 1617-1634, https://doi.org/10.5194/acp-10-1617-2010.
How to cite: Hellén, H., Schallhart, S., Praplan, A. P., Tykkä, T., Aurela, M., Lohila, A., and Hakola, H.: Emissions and ambient air concentrations of isoprene, monoterpenes and sesquiterpenes at a Northern wetland, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4938, https://doi.org/10.5194/egusphere-egu2020-4938, 2020.
Wetlands cover an area of about 2% of the total land surface area of the world and are most common in the boreal and tundra zones. Northern wetlands are important sinks for carbon dioxide and sources of methane, but knowledge on their VOC emissions is very limited. Currently, we know that northern wetlands are high isoprene emitters (e.g. Holst et al., 2010), but very little is known on the emissions of other VOCs.
We have studied VOC emissions and their ambient concentrations at a sub-Arctic wetland (Lompolojänkkä) in Northern Finland, using an in situ TD-GC-MS. For the emission measurements, a dynamic flow-through FEP chamber was used.
Earlier studies have shown that isoprene is emitted from wetlands and it turned out to be the most abundant compound in the current study also. Monoterpene (MT) emissions were generally less than 10 % of the isoprene emissions, but sesquiterpenes (SQT) emissions were surprisingly high, exceeding MT emissions at all times. Both MT and SQT emissions were dependent on temperature.
Even with the higher emissions from the wetland, ambient air concentrations of isoprene were clearly lower than MT concentrations. This indicates that wetland was not the only source affecting atmospheric concentrations at the site, but surrounding coniferous forests, which are high MT emitters, contribute as well. In May concentrations of SQTs and MTs at Lompolojänkkä were higher than in earlier boreal forest measurements in southern Finland (Hellén et al., 2018). At that time, the snow cover on the ground was melting and soil thawing and VOCs produced under the snow cover, e.g. by microbes and decaying litter, can be released to the air. Daily mean MT concentrations were very highly negatively correlated with daily mean ozone concentrations indicating that vegetation emissions can be a significant chemical sink of ozone at this sub-Arctic area.
References
Hellén, H.et al. 2018, Atmos. Chem. Phys., 18, 13839-13863, https://doi.org/10.5194/acp-18-13839-2018.
Holst, T., et al. 2010, Atmos. Chem. Phys., 10, 1617-1634, https://doi.org/10.5194/acp-10-1617-2010.
How to cite: Hellén, H., Schallhart, S., Praplan, A. P., Tykkä, T., Aurela, M., Lohila, A., and Hakola, H.: Emissions and ambient air concentrations of isoprene, monoterpenes and sesquiterpenes at a Northern wetland, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4938, https://doi.org/10.5194/egusphere-egu2020-4938, 2020.
EGU2020-21151 | Displays | BG3.3
Greenhouse gas (GHG) leakage and net mitigation of typical carbon sequestration practices in China’s terrestrial ecosystemFei Lu, Guo Zhang, Weiwei Liu, Bojie Liu, Hong Zhao, Lu Zhang, Xiaoke Wang, and Yafei Yuan
Many management practices in cropland, forest and grassland ecosystems can extend forest area, increase carbon input or prevent C loss from vegetation and soil, and subsequently enhance C sinks and stocks. These management practices are considered as promising carbon sequestration measures. However, during implementation of these measures, the production, transportation and consumption of corresponding materials (such as synthetic fertilizers) and fossil fuel, the additional trace GHG emissions, and the processes taking place elsewhere as a result of the implementation activities may lead to GHG budget change other than the carbon stock, and form GHG leakage. Consequently, in order to reveal the true contribution of these practices to global warming mitigation and GHG reduction, full GHG budget need to be considered rather than the impact on soil and vegetation carbon alone. We built the frame of “Carbon Accounting and Net Mitigation (CANM)” and serious of CANM methods to investigate the GHG leakage and net mitigation of typical carbon sequestration practices in China's terrestrial ecosystem, including China’s national ecological restoration projects, and forest, cropland and grassland managements. The results showed large variations in carbon contributions, GHG leakages and their counteraction effects among different practices and ecosystems. The counteraction effects of GHG leakage from forest management and some forest-related ecological restoration projects were relatively small and could hardly exceed 25%. Meanwhile, the GHG leakage of some cropland management practice (e.g., straw return in rice paddies) could fully offset the carbon sequestration in soil. But reduction of synthetic fertilizer application in accordance with the national fertilization recommendations might own considerable net GHG mitigation potential. Grazing prohibition could sequester carbon in grassland ecosystem, but the transfer of grazing activity could offset about half of the carbon sequestration effect. Therefore, policies and technical approaches to minimize GHG leakage are necessary to enhance the GHG mitigation effect of the ecosystem carbon sequestration practices.
How to cite: Lu, F., Zhang, G., Liu, W., Liu, B., Zhao, H., Zhang, L., Wang, X., and Yuan, Y.: Greenhouse gas (GHG) leakage and net mitigation of typical carbon sequestration practices in China’s terrestrial ecosystem, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21151, https://doi.org/10.5194/egusphere-egu2020-21151, 2020.
Many management practices in cropland, forest and grassland ecosystems can extend forest area, increase carbon input or prevent C loss from vegetation and soil, and subsequently enhance C sinks and stocks. These management practices are considered as promising carbon sequestration measures. However, during implementation of these measures, the production, transportation and consumption of corresponding materials (such as synthetic fertilizers) and fossil fuel, the additional trace GHG emissions, and the processes taking place elsewhere as a result of the implementation activities may lead to GHG budget change other than the carbon stock, and form GHG leakage. Consequently, in order to reveal the true contribution of these practices to global warming mitigation and GHG reduction, full GHG budget need to be considered rather than the impact on soil and vegetation carbon alone. We built the frame of “Carbon Accounting and Net Mitigation (CANM)” and serious of CANM methods to investigate the GHG leakage and net mitigation of typical carbon sequestration practices in China's terrestrial ecosystem, including China’s national ecological restoration projects, and forest, cropland and grassland managements. The results showed large variations in carbon contributions, GHG leakages and their counteraction effects among different practices and ecosystems. The counteraction effects of GHG leakage from forest management and some forest-related ecological restoration projects were relatively small and could hardly exceed 25%. Meanwhile, the GHG leakage of some cropland management practice (e.g., straw return in rice paddies) could fully offset the carbon sequestration in soil. But reduction of synthetic fertilizer application in accordance with the national fertilization recommendations might own considerable net GHG mitigation potential. Grazing prohibition could sequester carbon in grassland ecosystem, but the transfer of grazing activity could offset about half of the carbon sequestration effect. Therefore, policies and technical approaches to minimize GHG leakage are necessary to enhance the GHG mitigation effect of the ecosystem carbon sequestration practices.
How to cite: Lu, F., Zhang, G., Liu, W., Liu, B., Zhao, H., Zhang, L., Wang, X., and Yuan, Y.: Greenhouse gas (GHG) leakage and net mitigation of typical carbon sequestration practices in China’s terrestrial ecosystem, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21151, https://doi.org/10.5194/egusphere-egu2020-21151, 2020.
Forests play an important role in the exchange of radiatively important trace gases with the atmosphere. The past decade has seen remarkable growth in interest in this research area with studies yielding ever-greater insight into both the importance of these exchanges and the fundamental processes of exchange in ecosystems that are vulnerable and highly responsive to agents of global change. I will provide an overview of previous studies that are now global in coverage, which have shown that in both temperate and tropical wetland and upland forests, tree stems constitute significant surfaces of exchange of both methane (CH4) and nitrous oxide (N2O). Considering studies spanning diverse forest biomes across the full latitudinal range of forest extent, leads to emergent questions that this new and developing pan-disciplinary coalition of researchers are increasingly well able to address. Given that forests are both sensitive and highly responsive to agents of global change at a range of scales, there is a need to further characterise the fundamental functioning of exchange processes in forests e.g. with respect to hydrology, climate and the biology of microbes and the trees and soils they inhabit. Such insight will help with planning the next generation of integrative studies, at scale, to enable the role of forests in trace gas cycling in a changing world to be characterised.
How to cite: Gauci, V.: Where now for forest trace gas research?, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18347, https://doi.org/10.5194/egusphere-egu2020-18347, 2020.
Forests play an important role in the exchange of radiatively important trace gases with the atmosphere. The past decade has seen remarkable growth in interest in this research area with studies yielding ever-greater insight into both the importance of these exchanges and the fundamental processes of exchange in ecosystems that are vulnerable and highly responsive to agents of global change. I will provide an overview of previous studies that are now global in coverage, which have shown that in both temperate and tropical wetland and upland forests, tree stems constitute significant surfaces of exchange of both methane (CH4) and nitrous oxide (N2O). Considering studies spanning diverse forest biomes across the full latitudinal range of forest extent, leads to emergent questions that this new and developing pan-disciplinary coalition of researchers are increasingly well able to address. Given that forests are both sensitive and highly responsive to agents of global change at a range of scales, there is a need to further characterise the fundamental functioning of exchange processes in forests e.g. with respect to hydrology, climate and the biology of microbes and the trees and soils they inhabit. Such insight will help with planning the next generation of integrative studies, at scale, to enable the role of forests in trace gas cycling in a changing world to be characterised.
How to cite: Gauci, V.: Where now for forest trace gas research?, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18347, https://doi.org/10.5194/egusphere-egu2020-18347, 2020.
EGU2020-13502 | Displays | BG3.3
Contribution of vegetation to methane emission produced in the soil of an upland forest: a 13CH4-labelling approachCaroline Plain and Daniel Epron
The role of vegetation on net methane fluxes from upland forest ecosystem has only recently been underlined and is still not fully understand and quantify. Indeed, influences of forest plants on the methane budget could be antagonist, being a net methane producer or emitter in some cases or enhancing the methane consumption in others. But the vegetation in upland forests decreases the net methane uptake by 0 to 63%, and in a few cases, increases the methane uptake up to twice. One of the mains source of methane emission related to the vegetation is the transport of methane from deep anoxic soil layers where the methane is produced to the atmosphere through plant stems.
In order to quantify if vegetation is a preferential way of methane emission in our field site, a 13CH4 labelling had been undertaken in soil (at 40 cm depth) and 13CH4 had been traced in upper soil layers (0, 5, 10, 25 cm depth), on the soil surface with soil chambers with or without herbaceous vegetation and in tree stem chambers for two days after the pulse labelling.
13CH4 was recovered in all compartments even though the forest ecosystem was mainly a methane sink during this period when methane uptake dominated.
In our study, the vegetation (tree stems and herbaceous vegetation) have a limited contribution on the recovery of 13CH4 at the forest scale, which is dominated by soil emissions.
How to cite: Plain, C. and Epron, D.: Contribution of vegetation to methane emission produced in the soil of an upland forest: a 13CH4-labelling approach, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13502, https://doi.org/10.5194/egusphere-egu2020-13502, 2020.
The role of vegetation on net methane fluxes from upland forest ecosystem has only recently been underlined and is still not fully understand and quantify. Indeed, influences of forest plants on the methane budget could be antagonist, being a net methane producer or emitter in some cases or enhancing the methane consumption in others. But the vegetation in upland forests decreases the net methane uptake by 0 to 63%, and in a few cases, increases the methane uptake up to twice. One of the mains source of methane emission related to the vegetation is the transport of methane from deep anoxic soil layers where the methane is produced to the atmosphere through plant stems.
In order to quantify if vegetation is a preferential way of methane emission in our field site, a 13CH4 labelling had been undertaken in soil (at 40 cm depth) and 13CH4 had been traced in upper soil layers (0, 5, 10, 25 cm depth), on the soil surface with soil chambers with or without herbaceous vegetation and in tree stem chambers for two days after the pulse labelling.
13CH4 was recovered in all compartments even though the forest ecosystem was mainly a methane sink during this period when methane uptake dominated.
In our study, the vegetation (tree stems and herbaceous vegetation) have a limited contribution on the recovery of 13CH4 at the forest scale, which is dominated by soil emissions.
How to cite: Plain, C. and Epron, D.: Contribution of vegetation to methane emission produced in the soil of an upland forest: a 13CH4-labelling approach, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13502, https://doi.org/10.5194/egusphere-egu2020-13502, 2020.
EGU2020-11704 | Displays | BG3.3
Unravelling controls on methane uptake in a temperate forest soil: impacts of ectomycorrhizasSylvia Toet, Ruochan Ma, Phoebe Morton, and Phil Ineson
Methane (CH4) is an important greenhouse gas, globally responsible for 17% of current radiative forcing. Soils can be important net sources or sinks of CH4 depending on the net balance of two contrasting microbial processes - CH4 production and CH4 oxidation. In unsaturated soils, the aerobic methane oxidation process often dominates. These soils form the only global terrestrial CH4 sink, but estimates are still highly uncertain, both spatially and temporally. Forest soils have shown some of the strongest net CH4 uptake rates, but this is not consistent across sites and the controls are poorly understood.
In this field study, we focused on the effects of ectomycorrhizas on net CH4 uptake in an unsaturated, sandy gley podzolic soil of a mature coniferous forest stand dominated by Lodgepole pine (Pinus contorta) in Northern England over three years. Methane fluxes were determined in cores with soil only (roots and ectomycorrhizal mycelium excluded using windows with 1 µm mesh in the cores) and cores with soil and ectomycorrhizal mycelium (only roots excluded with 41 µm mesh). Net CH4 uptake rates in summer were higher when ectomycorrhizal mycelium was present, whereas the opposite was observed in winter. We will discuss mechanisms that may underpin these ectomycorrhizal impacts on net CH4 uptake in unsaturated forest soils.
How to cite: Toet, S., Ma, R., Morton, P., and Ineson, P.: Unravelling controls on methane uptake in a temperate forest soil: impacts of ectomycorrhizas, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11704, https://doi.org/10.5194/egusphere-egu2020-11704, 2020.
Methane (CH4) is an important greenhouse gas, globally responsible for 17% of current radiative forcing. Soils can be important net sources or sinks of CH4 depending on the net balance of two contrasting microbial processes - CH4 production and CH4 oxidation. In unsaturated soils, the aerobic methane oxidation process often dominates. These soils form the only global terrestrial CH4 sink, but estimates are still highly uncertain, both spatially and temporally. Forest soils have shown some of the strongest net CH4 uptake rates, but this is not consistent across sites and the controls are poorly understood.
In this field study, we focused on the effects of ectomycorrhizas on net CH4 uptake in an unsaturated, sandy gley podzolic soil of a mature coniferous forest stand dominated by Lodgepole pine (Pinus contorta) in Northern England over three years. Methane fluxes were determined in cores with soil only (roots and ectomycorrhizal mycelium excluded using windows with 1 µm mesh in the cores) and cores with soil and ectomycorrhizal mycelium (only roots excluded with 41 µm mesh). Net CH4 uptake rates in summer were higher when ectomycorrhizal mycelium was present, whereas the opposite was observed in winter. We will discuss mechanisms that may underpin these ectomycorrhizal impacts on net CH4 uptake in unsaturated forest soils.
How to cite: Toet, S., Ma, R., Morton, P., and Ineson, P.: Unravelling controls on methane uptake in a temperate forest soil: impacts of ectomycorrhizas, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11704, https://doi.org/10.5194/egusphere-egu2020-11704, 2020.
EGU2020-13072 | Displays | BG3.3
Methane consumption by proteobacterial methanotrophs in boreal spruce phyllosphere activated with methaneHenri Siljanen, Antti Laihonen, Sanni Aalto, Inga Martikainen, Richard Lamprecht, Christina Biasi, and Marja Tiirola
Current knowledge on methane (CH4) sinks is limited to chemical processes in the atmosphere, and to methanotrophy in forest soils and peatlands. Recent discoveries have indicated that also tree branches, i.e. phyllosphere, may consume atmospheric CH4, thus functioning as a novel CH4 sink. However, the process is not yet confirmed and the mechanism not resolved.
Here, we confirm that leaves and needles of boreal trees have the capacity to consume CH4 with stable isotope enrichment studies in field and laboratory experiments, and that the consumption is a biological process. With molecular analyses, we confirmed that the activity of needle-associated proteobacterial methanotrophs increased sporadically under CH4 and acetate enrichment. Our results indicate that CH4 consumption can exist in the tree canopy, which is characterized by interspecies variation, spatial patchiness and small but significant microbial activity.
This is a novel symbiotic connection between microbes and plant cells, which can enhance overall carbon sequestration in the boreal forests.
How to cite: Siljanen, H., Laihonen, A., Aalto, S., Martikainen, I., Lamprecht, R., Biasi, C., and Tiirola, M.: Methane consumption by proteobacterial methanotrophs in boreal spruce phyllosphere activated with methane, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13072, https://doi.org/10.5194/egusphere-egu2020-13072, 2020.
Current knowledge on methane (CH4) sinks is limited to chemical processes in the atmosphere, and to methanotrophy in forest soils and peatlands. Recent discoveries have indicated that also tree branches, i.e. phyllosphere, may consume atmospheric CH4, thus functioning as a novel CH4 sink. However, the process is not yet confirmed and the mechanism not resolved.
Here, we confirm that leaves and needles of boreal trees have the capacity to consume CH4 with stable isotope enrichment studies in field and laboratory experiments, and that the consumption is a biological process. With molecular analyses, we confirmed that the activity of needle-associated proteobacterial methanotrophs increased sporadically under CH4 and acetate enrichment. Our results indicate that CH4 consumption can exist in the tree canopy, which is characterized by interspecies variation, spatial patchiness and small but significant microbial activity.
This is a novel symbiotic connection between microbes and plant cells, which can enhance overall carbon sequestration in the boreal forests.
How to cite: Siljanen, H., Laihonen, A., Aalto, S., Martikainen, I., Lamprecht, R., Biasi, C., and Tiirola, M.: Methane consumption by proteobacterial methanotrophs in boreal spruce phyllosphere activated with methane, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13072, https://doi.org/10.5194/egusphere-egu2020-13072, 2020.
EGU2020-12917 | Displays | BG3.3
High frequency measurements reveal distinct sources of shoot methane emissions.Lukas Kohl, Markku Koskinen, Paivi Mäkiranta, Tatu Polvinen, Marjo Patama, Salla Tenhovirta, and Mari Pihlatie
Plant shoots can emit methane (CH4) from multiple source processes (microbial methanogenesis in soils and core wood, aerobic CH4 production in foliage). We constructed a chamber system to isolate these processes and study how leaf level CH4 emissions respond to environmental factors like dark-light-cycles, temperature, drought, or CO2 concentrations. Tree samplings are located in a FITOCLIMA D 1200 plant growth chamber for PAR, temperature and humidity control and equipped with a measurement chamber to quantify CH4 exchange in a closed loop setup with a Picarro G2301 CH4 analyser. The system was further customized to control temperature, CO2, and humidity in the measurement chamber. The system allows the detection of CH4 flux rates of on the order of 1 nmol CH4 h-1 and can conduct high frequency (< 15 min) measurements of CH4 emissions rates from small shoots (<5g foliage biomass). Initial measurements were conducted with Scots pine and birch saplings. In addition, we measured conducted manual methane flux measurements on shoots of Scots pine saplings in two 24-hour campaigns.
These experiments demonstrated that the shoots of different tree species emit CH4 from distinct sources. Scots pine shoots emitted CH4 produced within the shoot, likely through aerobic CH4 production, which showed a strong diurnal cycles that follows irradiation and photosynthesis rates. Shoot from some birch species, in contrast, showed emissions of soil-borne CH4 that remained constant throughout day and nighttime. We expect that future experiment with this unique setup will allow to further disentangle shoot CH4 emissions and characterize their response to environmental conditions including light, temperature, and relative humidity.
How to cite: Kohl, L., Koskinen, M., Mäkiranta, P., Polvinen, T., Patama, M., Tenhovirta, S., and Pihlatie, M.: High frequency measurements reveal distinct sources of shoot methane emissions. , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12917, https://doi.org/10.5194/egusphere-egu2020-12917, 2020.
Plant shoots can emit methane (CH4) from multiple source processes (microbial methanogenesis in soils and core wood, aerobic CH4 production in foliage). We constructed a chamber system to isolate these processes and study how leaf level CH4 emissions respond to environmental factors like dark-light-cycles, temperature, drought, or CO2 concentrations. Tree samplings are located in a FITOCLIMA D 1200 plant growth chamber for PAR, temperature and humidity control and equipped with a measurement chamber to quantify CH4 exchange in a closed loop setup with a Picarro G2301 CH4 analyser. The system was further customized to control temperature, CO2, and humidity in the measurement chamber. The system allows the detection of CH4 flux rates of on the order of 1 nmol CH4 h-1 and can conduct high frequency (< 15 min) measurements of CH4 emissions rates from small shoots (<5g foliage biomass). Initial measurements were conducted with Scots pine and birch saplings. In addition, we measured conducted manual methane flux measurements on shoots of Scots pine saplings in two 24-hour campaigns.
These experiments demonstrated that the shoots of different tree species emit CH4 from distinct sources. Scots pine shoots emitted CH4 produced within the shoot, likely through aerobic CH4 production, which showed a strong diurnal cycles that follows irradiation and photosynthesis rates. Shoot from some birch species, in contrast, showed emissions of soil-borne CH4 that remained constant throughout day and nighttime. We expect that future experiment with this unique setup will allow to further disentangle shoot CH4 emissions and characterize their response to environmental conditions including light, temperature, and relative humidity.
How to cite: Kohl, L., Koskinen, M., Mäkiranta, P., Polvinen, T., Patama, M., Tenhovirta, S., and Pihlatie, M.: High frequency measurements reveal distinct sources of shoot methane emissions. , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12917, https://doi.org/10.5194/egusphere-egu2020-12917, 2020.
EGU2020-20506 | Displays | BG3.3
The role of trees in the CH4 and N2O exchange in boreal forestElisa Vainio, Luca Galeotti, Homa Ghasemi, Iikka Haikarainen, Katerina Machacova, Marjo Patama, Petteri Pyykkö, Lilja Rauna, and Mari Pihlatie
Trees have been demonstrated to play a role in the methane (CH4) and nitrous oxide (N2O) cycling in forests. Emissions of these two greenhouse gases have been observed from tree stems and shoots. The stem emissions of both CH4 and N2O have been suggested to originate from the soil, however, their transportation mechanisms might differ, and furthermore, at least the stem-emitted CH4 can also be produced within tree tissue. Boreal forests are considered a sink of CH4 due to predominant soil oxidation, but when CH4 is taken up by the roots, it bypasses the CH4-oxidation zone in the surface soil. The stem N2O fluxes at the boreal zone have been shown to follow seasonal physiological activity of trees. However, studies on tree CH4 and N2O fluxes are scarce in the boreal zone.
We studied the tree stem CH4 and N2O exchange from the stems of Scots pine, downy birch, and Norway spruce – in total 47 trees, growing at six study plots with naturally different soil moisture and ground vegetation conditions (6–9 trees per plot). The measurements were performed during July–August 2017 at the Hyytiälä SMEAR II (Station for Measuring Ecosystem-Atmosphere Relations) ICOS (Integrated Carbon Observation System) research site, in southern Finland. In addition to the stems, we measured forest floor CH4 and N2O fluxes at all the plots, and shoot CH4 fluxes from birch and pine at one plot. The stem chambers were installed at the tree bases, ca. 30 cm above the soil surface. Additionally, from the trees with the shoot measurements, we measured the stem fluxes from several heights in order to study the flux variation in the stem vertical profile. All the flux measurements were conducted with closed chambers – the stem and forest floor measurements were performed by using manual sampling and gas chromatography, while a portable greenhouse gas analyser was used for the shoot measurements. Soil moisture and soil temperature were monitored at the study plots throughout the measurement period.
The results show that all the studied tree species emit both CH4 and N2O from stems. Birches growing at one plot with waterlogging conditions stand out with the highest stem CH4 emissions. Concerning the N2O emissions, birch stems showed significantly higher emissions than pine stems. The results of the shoot measurements indicate that both birch and pine emit small amounts of CH4 from their shoots, but the driving factors of the emissions may be different for the two species. Our aim is to model the spatial variability of the stem CH4 and N2O fluxes at the site, and to develop an upscaling method combining the stem and forest floor CH4 and N2O exchange, based on an existing modelling work on the forest floor CH4 fluxes at the site.
Acknowledgements: This research was supported by the Academy of Finland (288494, 2884941), National Centre of Excellence (272041), ICOS-FINLAND (281255), Czech Science Foundation (17-18112Y) and National Sustainability Program I (LO1415), and the European Research Council (ERC) under Horizon 2020 research and innovation programme, grant agreement No (757695).
How to cite: Vainio, E., Galeotti, L., Ghasemi, H., Haikarainen, I., Machacova, K., Patama, M., Pyykkö, P., Rauna, L., and Pihlatie, M.: The role of trees in the CH4 and N2O exchange in boreal forest, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20506, https://doi.org/10.5194/egusphere-egu2020-20506, 2020.
Trees have been demonstrated to play a role in the methane (CH4) and nitrous oxide (N2O) cycling in forests. Emissions of these two greenhouse gases have been observed from tree stems and shoots. The stem emissions of both CH4 and N2O have been suggested to originate from the soil, however, their transportation mechanisms might differ, and furthermore, at least the stem-emitted CH4 can also be produced within tree tissue. Boreal forests are considered a sink of CH4 due to predominant soil oxidation, but when CH4 is taken up by the roots, it bypasses the CH4-oxidation zone in the surface soil. The stem N2O fluxes at the boreal zone have been shown to follow seasonal physiological activity of trees. However, studies on tree CH4 and N2O fluxes are scarce in the boreal zone.
We studied the tree stem CH4 and N2O exchange from the stems of Scots pine, downy birch, and Norway spruce – in total 47 trees, growing at six study plots with naturally different soil moisture and ground vegetation conditions (6–9 trees per plot). The measurements were performed during July–August 2017 at the Hyytiälä SMEAR II (Station for Measuring Ecosystem-Atmosphere Relations) ICOS (Integrated Carbon Observation System) research site, in southern Finland. In addition to the stems, we measured forest floor CH4 and N2O fluxes at all the plots, and shoot CH4 fluxes from birch and pine at one plot. The stem chambers were installed at the tree bases, ca. 30 cm above the soil surface. Additionally, from the trees with the shoot measurements, we measured the stem fluxes from several heights in order to study the flux variation in the stem vertical profile. All the flux measurements were conducted with closed chambers – the stem and forest floor measurements were performed by using manual sampling and gas chromatography, while a portable greenhouse gas analyser was used for the shoot measurements. Soil moisture and soil temperature were monitored at the study plots throughout the measurement period.
The results show that all the studied tree species emit both CH4 and N2O from stems. Birches growing at one plot with waterlogging conditions stand out with the highest stem CH4 emissions. Concerning the N2O emissions, birch stems showed significantly higher emissions than pine stems. The results of the shoot measurements indicate that both birch and pine emit small amounts of CH4 from their shoots, but the driving factors of the emissions may be different for the two species. Our aim is to model the spatial variability of the stem CH4 and N2O fluxes at the site, and to develop an upscaling method combining the stem and forest floor CH4 and N2O exchange, based on an existing modelling work on the forest floor CH4 fluxes at the site.
Acknowledgements: This research was supported by the Academy of Finland (288494, 2884941), National Centre of Excellence (272041), ICOS-FINLAND (281255), Czech Science Foundation (17-18112Y) and National Sustainability Program I (LO1415), and the European Research Council (ERC) under Horizon 2020 research and innovation programme, grant agreement No (757695).
How to cite: Vainio, E., Galeotti, L., Ghasemi, H., Haikarainen, I., Machacova, K., Patama, M., Pyykkö, P., Rauna, L., and Pihlatie, M.: The role of trees in the CH4 and N2O exchange in boreal forest, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20506, https://doi.org/10.5194/egusphere-egu2020-20506, 2020.
EGU2020-275 | Displays | BG3.3
Methane emissions and origin in tree stems in an upland forestJosep Barba, Rafael Poyatos, Margaret Capooci, and Rodrigo Vargas
Trees can exchange methane (CH4) with the atmosphere through their stems. However, the magnitudes, patterns, drivers and origin of these emissions as well as the biogeochemical pathways that might result in net CH4 production or uptake are still poorly understood. One of the most important constraints is the limited information on the spatial and temporal variability of these emissions. Manual measurements are useful for measuring spatial variability of stem emissions (both within and between trees), but their low temporal frequency hinders our understanding of temporal patterns. In contrast, high-frequency measurements capture temporal variability, but instrumentation cost and complex technical logistics preclude high number of spatial replicates. In this study we combined manual and automated measurements of tree stem emissions in 18 different bitternut hickory trees (Carya cordiformis) in an upland forest during one growing season. Methane emissions were measured at two stem heights (75 and 150 cm) in three trees every 30 min, whereas the other 15 trees were measured once every two weeks at three different stem heights (50, 110 and 170 cm). Additionally, sap flow, soil temperature, soil water content, ground water level, and CH4 concentrations in the heartwood and in the soil profile were measured. Finally, we performed incubations of stem cores to test its potential for producing CH4. All trees were net sources of methane during the experiment, but some of them showed sporadic capture of CH4. High-frequency measurements revealed large temporal variability of stem emissions even within hours. Trees showed a seasonal trend of CH4 emissions partially explained by sap flow, soil moisture and temperature, but the pattern and the magnitudes were not consistent between and within trees. Even when a larger number of trees were studied (15 trees with manual measurements every two weeks), no consistent spatial pattern emerged among trees or with stem height, with emissions differing up to two orders of magnitude among trees. We found high CH4 concentrations in the heartwood of the trees (up to 75,000 ppm), no relevant concentrations in the soil profile (<6 ppm in all cases), and methanogenic capacity in all trees (stem cores were able to produce CH4 in laboratory incubations), supporting the interpretation that CH4 emitted by treestems was likely produced in the heartwood of the trees rather than being produced in soils and transported by the roots. Our results provide evidence on the potential origin of CH4 emitted by tree stems, but also indicate that the spatial and temporal patterns of stem emissions should be better described in order to assess the role of trees in local-to-global CH4 budgets.
How to cite: Barba, J., Poyatos, R., Capooci, M., and Vargas, R.: Methane emissions and origin in tree stems in an upland forest, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-275, https://doi.org/10.5194/egusphere-egu2020-275, 2020.
Trees can exchange methane (CH4) with the atmosphere through their stems. However, the magnitudes, patterns, drivers and origin of these emissions as well as the biogeochemical pathways that might result in net CH4 production or uptake are still poorly understood. One of the most important constraints is the limited information on the spatial and temporal variability of these emissions. Manual measurements are useful for measuring spatial variability of stem emissions (both within and between trees), but their low temporal frequency hinders our understanding of temporal patterns. In contrast, high-frequency measurements capture temporal variability, but instrumentation cost and complex technical logistics preclude high number of spatial replicates. In this study we combined manual and automated measurements of tree stem emissions in 18 different bitternut hickory trees (Carya cordiformis) in an upland forest during one growing season. Methane emissions were measured at two stem heights (75 and 150 cm) in three trees every 30 min, whereas the other 15 trees were measured once every two weeks at three different stem heights (50, 110 and 170 cm). Additionally, sap flow, soil temperature, soil water content, ground water level, and CH4 concentrations in the heartwood and in the soil profile were measured. Finally, we performed incubations of stem cores to test its potential for producing CH4. All trees were net sources of methane during the experiment, but some of them showed sporadic capture of CH4. High-frequency measurements revealed large temporal variability of stem emissions even within hours. Trees showed a seasonal trend of CH4 emissions partially explained by sap flow, soil moisture and temperature, but the pattern and the magnitudes were not consistent between and within trees. Even when a larger number of trees were studied (15 trees with manual measurements every two weeks), no consistent spatial pattern emerged among trees or with stem height, with emissions differing up to two orders of magnitude among trees. We found high CH4 concentrations in the heartwood of the trees (up to 75,000 ppm), no relevant concentrations in the soil profile (<6 ppm in all cases), and methanogenic capacity in all trees (stem cores were able to produce CH4 in laboratory incubations), supporting the interpretation that CH4 emitted by treestems was likely produced in the heartwood of the trees rather than being produced in soils and transported by the roots. Our results provide evidence on the potential origin of CH4 emitted by tree stems, but also indicate that the spatial and temporal patterns of stem emissions should be better described in order to assess the role of trees in local-to-global CH4 budgets.
How to cite: Barba, J., Poyatos, R., Capooci, M., and Vargas, R.: Methane emissions and origin in tree stems in an upland forest, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-275, https://doi.org/10.5194/egusphere-egu2020-275, 2020.
EGU2020-19009 | Displays | BG3.3
Greenhouse gas emissions from a Mediterranean floodplain forest: the role of tree emissions under a changing flooding regime.Sílvia Poblador, Elisabet Martínez-Sancho, Mateu Menéndez-Serra, Emilio O. Casamayor, Marc Estiarte, Anna Lupon, Eugènia Martí, Josep Peñuelas, Santiago Sabaté, and Francesc Sabater
The increase of greenhouse gas (GHG) emissions into the atmosphere is promoting and accelerating climate warming. Among GHG sources, soils are an important natural source of GHG to the atmosphere through aerobic soil respiration that release carbon dioxide (CO2). However, in riparian areas, soils can also release relevant amounts of methane (CH4) and nitrous oxide (N2O) through anaerobic processes promoted by high groundwater levels or flooded conditions. Recent studies have highlighted the role of trees in CH4 emissions, but little is still known about the origin of these emissions, the processes involved, and their contribution to the global carbon and nitrogen cycles. To shed light on this issue, we measured GHG emissions (i.e. CO2, CH4, and N2O) from the stems of two riparian tree species (Fraxinus agustifolia and Quercus robur) located along a gradient of soil moisture conditions (i.e. from wet to completely flooded soils) in a Mediterranean floodplain forest. Moreover, we also analyzed the isotopic carbon signature of the GHG emitted and the microbial communities inhabiting within tree stems by 16S rRNA gene analysis. Our results showed that CH4 emitted by riparian tree stems was 100-fold higher at the flooded than at wet soil locations, while CO2 and N2O emissions did not vary across moisture conditions. When considering together emissions form soil surface and tree stems under flooded conditions, riparian trees contributed up to 20%, 40% and 60% of the total CH4, CO2, and N2O emissions, respectively. Keeling plots suggested that CO2 emitted through tree stems was produced within the soil compartment and thus transported to the atmosphere through the tree stems, whereas CH4 emissions may have a different origin. However, methanogens were almost absent on the wood microbiome. The substantially higher presence of methanotrophs on the wood than on the soil compartment suggested that, despite CH4 emitted by stems could come from soil microbial activity, the microbial consumption of that CH4 within the tree stem could have changed its isotopic signature. Overall, our findings suggest that the riparian trees growing in this Mediterranean floodplain forest may mainly act as passive transporters of GHG produced in soils instead of being active GHG producers.
How to cite: Poblador, S., Martínez-Sancho, E., Menéndez-Serra, M., Casamayor, E. O., Estiarte, M., Lupon, A., Martí, E., Peñuelas, J., Sabaté, S., and Sabater, F.: Greenhouse gas emissions from a Mediterranean floodplain forest: the role of tree emissions under a changing flooding regime., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19009, https://doi.org/10.5194/egusphere-egu2020-19009, 2020.
The increase of greenhouse gas (GHG) emissions into the atmosphere is promoting and accelerating climate warming. Among GHG sources, soils are an important natural source of GHG to the atmosphere through aerobic soil respiration that release carbon dioxide (CO2). However, in riparian areas, soils can also release relevant amounts of methane (CH4) and nitrous oxide (N2O) through anaerobic processes promoted by high groundwater levels or flooded conditions. Recent studies have highlighted the role of trees in CH4 emissions, but little is still known about the origin of these emissions, the processes involved, and their contribution to the global carbon and nitrogen cycles. To shed light on this issue, we measured GHG emissions (i.e. CO2, CH4, and N2O) from the stems of two riparian tree species (Fraxinus agustifolia and Quercus robur) located along a gradient of soil moisture conditions (i.e. from wet to completely flooded soils) in a Mediterranean floodplain forest. Moreover, we also analyzed the isotopic carbon signature of the GHG emitted and the microbial communities inhabiting within tree stems by 16S rRNA gene analysis. Our results showed that CH4 emitted by riparian tree stems was 100-fold higher at the flooded than at wet soil locations, while CO2 and N2O emissions did not vary across moisture conditions. When considering together emissions form soil surface and tree stems under flooded conditions, riparian trees contributed up to 20%, 40% and 60% of the total CH4, CO2, and N2O emissions, respectively. Keeling plots suggested that CO2 emitted through tree stems was produced within the soil compartment and thus transported to the atmosphere through the tree stems, whereas CH4 emissions may have a different origin. However, methanogens were almost absent on the wood microbiome. The substantially higher presence of methanotrophs on the wood than on the soil compartment suggested that, despite CH4 emitted by stems could come from soil microbial activity, the microbial consumption of that CH4 within the tree stem could have changed its isotopic signature. Overall, our findings suggest that the riparian trees growing in this Mediterranean floodplain forest may mainly act as passive transporters of GHG produced in soils instead of being active GHG producers.
How to cite: Poblador, S., Martínez-Sancho, E., Menéndez-Serra, M., Casamayor, E. O., Estiarte, M., Lupon, A., Martí, E., Peñuelas, J., Sabaté, S., and Sabater, F.: Greenhouse gas emissions from a Mediterranean floodplain forest: the role of tree emissions under a changing flooding regime., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19009, https://doi.org/10.5194/egusphere-egu2020-19009, 2020.
EGU2020-21139 | Displays | BG3.3
High CH4 and N2O emissions from soil and stems of disturbed swamp forests in Peruvian AmazonJaan Pärn, Kaido Soosaar, Thomas Schindler, Kateřina Macháčová, Waldemar Alegría Muñoz, Lizardo Manuel Fachín Malaverri, José Luis Jibaja Aspajo, Robinson Negron-Juarez, Jhon Ever Rengifo Marin, Rodil Tello Espinoza, Segundo Cordova Horna, Tedi Pacheco Gómez, Jose David Urquiza Muñoz, and Ülo Mander
Peatlands are an enormous sink of carbon and nitrogen. Natural and human disturbances may release them as greenhouse gases (GHGs) or water pollutants. Tropical peatlands have especially intensive matter cycling. Amazonia holds almost a half of tropical peatlands. Most of it is inaccessible to current forestry and drainage machinery and thus untouched by man. Tropical rainforest has been labelled ’lungs of the Earth’. While photosynthesis in mature forests does sequester carbon in biomass, they respire an equal amount of carbon dioxide (CO2). Only swamp forests may sequester carbon in wet anoxic peat for centuries. However, anoxic decomposition of peat yields methane (CH4) and suboxic processes release nitrous oxide (N2O). Both have high global warming potential. In undisturbed peatlands, carbon sequestration outweighs GHG emissions. GHG budgets are more complicated in disturbed peatlands.
With an objective to clarify the greenhouse gas budget of tropical peatlands, the Department of Geography, University of Tartu held a measurement campaign in Iquitos, Peruvian Amazon in September 2019. We observed fluxes of the three GHGs using opaque chambers and measured potential environmental factors in three sites under various disturbance histories: 1) a Mauritia flexuosa palm-dominated swamp forest, 2) toe-slope swamp forest grown in 12 years on fallow pasture and banana plantation, and 3) slash-and-burn cassava field.
The toe-slope swamp respired the largest amounts of CO2 while site differences were small and may have been offset by photosynthesis (which we did not measure). The wet swamp forest sites, especially palm trunks, emitted large amounts of CH4. The dry slash-and-burn cassava field emitted little methane. The CH4 emissions were strongly correlated with nitrogen content of the peat. Previous literature links high soil nitrogen content with lability of soil organic carbon and high microbial activity. The swamp forest floor emitted an average of 390 µg N2O-N m–2 h–1 after torrential rainfall. The downpour may have carried just enough oxygen into the peat to trigger N2O production by nitrification or hamper the full pathway of denitrification to N2. High peat Ca++ and Mg++ content and pH>4 favoured nitrification. High NH4+-N concentration in the swamp peat (190 mg kg–1), which can be related to N2 fixation and litter from three species of leguminous trees, formed a solid base for nitrification. The slash-and-burn cassava field emitted a sizable 37 µg N2O-N m–2 h–1. In conclusion, the variety of disturbances produced an interesting pattern of GHG emissions in relationship with environmental conditions. Thus, Amazonian peatlands demand elevated attention.
How to cite: Pärn, J., Soosaar, K., Schindler, T., Macháčová, K., Alegría Muñoz, W., Fachín Malaverri, L. M., Jibaja Aspajo, J. L., Negron-Juarez, R., Rengifo Marin, J. E., Tello Espinoza, R., Cordova Horna, S., Pacheco Gómez, T., Urquiza Muñoz, J. D., and Mander, Ü.: High CH4 and N2O emissions from soil and stems of disturbed swamp forests in Peruvian Amazon, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21139, https://doi.org/10.5194/egusphere-egu2020-21139, 2020.
Peatlands are an enormous sink of carbon and nitrogen. Natural and human disturbances may release them as greenhouse gases (GHGs) or water pollutants. Tropical peatlands have especially intensive matter cycling. Amazonia holds almost a half of tropical peatlands. Most of it is inaccessible to current forestry and drainage machinery and thus untouched by man. Tropical rainforest has been labelled ’lungs of the Earth’. While photosynthesis in mature forests does sequester carbon in biomass, they respire an equal amount of carbon dioxide (CO2). Only swamp forests may sequester carbon in wet anoxic peat for centuries. However, anoxic decomposition of peat yields methane (CH4) and suboxic processes release nitrous oxide (N2O). Both have high global warming potential. In undisturbed peatlands, carbon sequestration outweighs GHG emissions. GHG budgets are more complicated in disturbed peatlands.
With an objective to clarify the greenhouse gas budget of tropical peatlands, the Department of Geography, University of Tartu held a measurement campaign in Iquitos, Peruvian Amazon in September 2019. We observed fluxes of the three GHGs using opaque chambers and measured potential environmental factors in three sites under various disturbance histories: 1) a Mauritia flexuosa palm-dominated swamp forest, 2) toe-slope swamp forest grown in 12 years on fallow pasture and banana plantation, and 3) slash-and-burn cassava field.
The toe-slope swamp respired the largest amounts of CO2 while site differences were small and may have been offset by photosynthesis (which we did not measure). The wet swamp forest sites, especially palm trunks, emitted large amounts of CH4. The dry slash-and-burn cassava field emitted little methane. The CH4 emissions were strongly correlated with nitrogen content of the peat. Previous literature links high soil nitrogen content with lability of soil organic carbon and high microbial activity. The swamp forest floor emitted an average of 390 µg N2O-N m–2 h–1 after torrential rainfall. The downpour may have carried just enough oxygen into the peat to trigger N2O production by nitrification or hamper the full pathway of denitrification to N2. High peat Ca++ and Mg++ content and pH>4 favoured nitrification. High NH4+-N concentration in the swamp peat (190 mg kg–1), which can be related to N2 fixation and litter from three species of leguminous trees, formed a solid base for nitrification. The slash-and-burn cassava field emitted a sizable 37 µg N2O-N m–2 h–1. In conclusion, the variety of disturbances produced an interesting pattern of GHG emissions in relationship with environmental conditions. Thus, Amazonian peatlands demand elevated attention.
How to cite: Pärn, J., Soosaar, K., Schindler, T., Macháčová, K., Alegría Muñoz, W., Fachín Malaverri, L. M., Jibaja Aspajo, J. L., Negron-Juarez, R., Rengifo Marin, J. E., Tello Espinoza, R., Cordova Horna, S., Pacheco Gómez, T., Urquiza Muñoz, J. D., and Mander, Ü.: High CH4 and N2O emissions from soil and stems of disturbed swamp forests in Peruvian Amazon, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21139, https://doi.org/10.5194/egusphere-egu2020-21139, 2020.
EGU2020-11242 | Displays | BG3.3
Towards a better understanding of soil- and tree stem-atmosphere exchanges of greenhouse gases, i.e. CO2, CH4, N2O, in a tropical rainforestLaëtitia Brechet, Warren Daniel, Clément Stahl, Benoît Burban, Jean-Yves Goret, Roberto L. Salomόn, and Ivan A. Janssens
The importance of greenhouse gas (GHG) emissions in global climate change is undisputed, but our understanding of the daily and seasonal variations of the GHG fluxes is far from complete and detailed flux estimates are unequally distributed among ecosystems worldwide. Carbon dioxide (77%; CO2), methane (14%; CH4) and nitrous oxide (8%; N2O) are the three main GHGs that trap infrared radiations and contribute to climate change. While CO2 has been largely studied, a considerable effort is still required to quantify the magnitude and drivers of CH4 and N2O, which have radiative effects 25 and 298 times greater than CO2, respectively. Tropical forests play a pivotal role in global carbon (C) balance and climate change mitigation, accounting for 68% of global C stock and representing up to 30% of total forest soil C sink. In the tropics, soils are main contributors to the ecosystem GHG fluxes. In fact, tropical forest soils are the largest natural source of soil CO2 and N2O and are overwhelmingly reported as important sink of CH4. More recently, studies reported that tree stems can also emit CO2, CH4 and N2O and act, via passive transport through the soil xylem stream, as a pathway for these gas emissions to the atmosphere.
Although accurate estimates of GHG sources and sinks are of great importance for reducing the uncertainties of C cycle - climate feed-backs, we are only just beginning to understand the role of tropical tree stems as producers and / or conduits of soil-produced GHG.
I present first results of soil and tree stem GHG fluxes estimated over a six-month period, including a dry and a wet season, of continuous high frequency measurements with automated GHG flux systems in a tropical rainforest, in French Guiana. We adapted and extended an existing soil GHG flux system, combining a commercial automated soil CO2 flux chamber system (LI-8100A) and CH4 and N2O analyser (Picarro G2308), to include tree stem chambers. Different closure times were applied to ensure reliable flux estimates, especially for low CH4 and N2O fluxes. I show that the new automated system operated successfully, allowing for robust long-term measurements to examine temporal variations and ultimately calculate budgets of CO2, CH4 and N2O fluxes at soil and tree stem levels. Our results indicated that soils and tree stems acted exclusively as source for CO2, whereas soils and tree stems exhibited distinct patterns for both CH4 and N2O, which highlights the importance of partitioning GHG fluxes to better determine environmental controls regulating ecosystem GHG exchanges.
How to cite: Brechet, L., Daniel, W., Stahl, C., Burban, B., Goret, J.-Y., Salomόn, R. L., and Janssens, I. A.: Towards a better understanding of soil- and tree stem-atmosphere exchanges of greenhouse gases, i.e. CO2, CH4, N2O, in a tropical rainforest, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11242, https://doi.org/10.5194/egusphere-egu2020-11242, 2020.
The importance of greenhouse gas (GHG) emissions in global climate change is undisputed, but our understanding of the daily and seasonal variations of the GHG fluxes is far from complete and detailed flux estimates are unequally distributed among ecosystems worldwide. Carbon dioxide (77%; CO2), methane (14%; CH4) and nitrous oxide (8%; N2O) are the three main GHGs that trap infrared radiations and contribute to climate change. While CO2 has been largely studied, a considerable effort is still required to quantify the magnitude and drivers of CH4 and N2O, which have radiative effects 25 and 298 times greater than CO2, respectively. Tropical forests play a pivotal role in global carbon (C) balance and climate change mitigation, accounting for 68% of global C stock and representing up to 30% of total forest soil C sink. In the tropics, soils are main contributors to the ecosystem GHG fluxes. In fact, tropical forest soils are the largest natural source of soil CO2 and N2O and are overwhelmingly reported as important sink of CH4. More recently, studies reported that tree stems can also emit CO2, CH4 and N2O and act, via passive transport through the soil xylem stream, as a pathway for these gas emissions to the atmosphere.
Although accurate estimates of GHG sources and sinks are of great importance for reducing the uncertainties of C cycle - climate feed-backs, we are only just beginning to understand the role of tropical tree stems as producers and / or conduits of soil-produced GHG.
I present first results of soil and tree stem GHG fluxes estimated over a six-month period, including a dry and a wet season, of continuous high frequency measurements with automated GHG flux systems in a tropical rainforest, in French Guiana. We adapted and extended an existing soil GHG flux system, combining a commercial automated soil CO2 flux chamber system (LI-8100A) and CH4 and N2O analyser (Picarro G2308), to include tree stem chambers. Different closure times were applied to ensure reliable flux estimates, especially for low CH4 and N2O fluxes. I show that the new automated system operated successfully, allowing for robust long-term measurements to examine temporal variations and ultimately calculate budgets of CO2, CH4 and N2O fluxes at soil and tree stem levels. Our results indicated that soils and tree stems acted exclusively as source for CO2, whereas soils and tree stems exhibited distinct patterns for both CH4 and N2O, which highlights the importance of partitioning GHG fluxes to better determine environmental controls regulating ecosystem GHG exchanges.
How to cite: Brechet, L., Daniel, W., Stahl, C., Burban, B., Goret, J.-Y., Salomόn, R. L., and Janssens, I. A.: Towards a better understanding of soil- and tree stem-atmosphere exchanges of greenhouse gases, i.e. CO2, CH4, N2O, in a tropical rainforest, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11242, https://doi.org/10.5194/egusphere-egu2020-11242, 2020.
EGU2020-5650 | Displays | BG3.3
Patterns in CO2 exchange to the atmosphere from a borehole located in a Mediterranean karst system (Málaga, southern Spain)Enrique P. Sanchez-Cañete, José Benavente, Cristina Liñan, Lucía Ojeda, and Iñaki Vadillo
The vadose zone (VZ), found between the surface and groundwater level, can store massive amounts of CO2, recording values greater than 60,000 ppm to depths of a few tens of meters. The CO2 is produced mostly in the first meters of soil due to root respiration and microorganisms and, to a lesser extent, to geochemical reactions. Although commonly CO2 is produced mostly near the surface, the concentration increases with depth, due mainly to transport in two phases: 1) infiltration of CO2-enriched water followed by precipitation and CO2 release in deeper layers, and 2) percolation of CO2-rich air due to its high density. These transport process contribute to natural CO2 accumulation in the VZ, whose storage capacity depends on its thickness and porosity. All this CO2 storage can be exchange with the atmosphere mainly determined by differences in the temperature between the internal and external atmosphere.
Here we study a borehole located next to Nerja Cave (Málaga, Spain) developed within fissured and karstified Triassic dolomitic marbles. Our objective is to determine the main drivers involved in subterranean CO2 exchange with the atmosphere. To do that, CO2 molar fraction, air temperature, relative humidity, wind speed and direction were monitored in the top of the borehole, and were correlated with external variables as air temperature, relative humidity, atmospheric pressure, rain and sea tides. Results shown that within a few hours, the CO2 molar fraction can increase ten times more, showing a pattern with two cycles per day. In periods with low CO2 molar fraction the air penetrates into the borehole, on the other hand, periods with high CO2 values are due to the borehole CO2-rich air is moving toward the external atmosphere. We found that the CO2 emitted to the atmosphere by this borehole is several orders of magnitude than the soil CO2 fluxes in this area. Therefore, we need to produce accurate long-term estimates of borehole CO2 fluxes to improve our understanding of its contribution to local carbon balance.
How to cite: Sanchez-Cañete, E. P., Benavente, J., Liñan, C., Ojeda, L., and Vadillo, I.: Patterns in CO2 exchange to the atmosphere from a borehole located in a Mediterranean karst system (Málaga, southern Spain), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5650, https://doi.org/10.5194/egusphere-egu2020-5650, 2020.
The vadose zone (VZ), found between the surface and groundwater level, can store massive amounts of CO2, recording values greater than 60,000 ppm to depths of a few tens of meters. The CO2 is produced mostly in the first meters of soil due to root respiration and microorganisms and, to a lesser extent, to geochemical reactions. Although commonly CO2 is produced mostly near the surface, the concentration increases with depth, due mainly to transport in two phases: 1) infiltration of CO2-enriched water followed by precipitation and CO2 release in deeper layers, and 2) percolation of CO2-rich air due to its high density. These transport process contribute to natural CO2 accumulation in the VZ, whose storage capacity depends on its thickness and porosity. All this CO2 storage can be exchange with the atmosphere mainly determined by differences in the temperature between the internal and external atmosphere.
Here we study a borehole located next to Nerja Cave (Málaga, Spain) developed within fissured and karstified Triassic dolomitic marbles. Our objective is to determine the main drivers involved in subterranean CO2 exchange with the atmosphere. To do that, CO2 molar fraction, air temperature, relative humidity, wind speed and direction were monitored in the top of the borehole, and were correlated with external variables as air temperature, relative humidity, atmospheric pressure, rain and sea tides. Results shown that within a few hours, the CO2 molar fraction can increase ten times more, showing a pattern with two cycles per day. In periods with low CO2 molar fraction the air penetrates into the borehole, on the other hand, periods with high CO2 values are due to the borehole CO2-rich air is moving toward the external atmosphere. We found that the CO2 emitted to the atmosphere by this borehole is several orders of magnitude than the soil CO2 fluxes in this area. Therefore, we need to produce accurate long-term estimates of borehole CO2 fluxes to improve our understanding of its contribution to local carbon balance.
How to cite: Sanchez-Cañete, E. P., Benavente, J., Liñan, C., Ojeda, L., and Vadillo, I.: Patterns in CO2 exchange to the atmosphere from a borehole located in a Mediterranean karst system (Málaga, southern Spain), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5650, https://doi.org/10.5194/egusphere-egu2020-5650, 2020.
EGU2020-7483 | Displays | BG3.3
Borehole-based study of CO2-rich air transport in the vadose zone of a Mediterranean karst system (Malaga, southern Spain)Lucía Ojeda, José Benavente, Iñaki Vadillo, Cristina Liñán, and Enrique P. Sanchez-Cañete
The characterization of CO2 transport, and other C compounds (CH4, DIC, organic matter, etc.), in the vadose zone of a karst aquifer is key in order to quantify sources and sinks of carbon. In karst environments, most of the studies are focused on the dynamics of CO2 in caves, but only a few studies are related to field measurements of the CO2 content in boreholes, which provides direct insights about the vadose zone. Located at the east of the Nerja Cave (Malaga, Andalusia), one of the most important tourist caves in Spain, the vadose zone was accessed by 9 boreholes drilled into the vadose zone of a Triassic carbonate aquifer, with depths ranging between 15 and 30 m. The karst network in the study area is characterized by a great vertical heterogeneity, with significant cavities and voids at specific intervals. Groundwater levels at different altitudes are a consequence of this heterogeneity. Similarly, CO2 distribution and transport are clearly determined by the complex karst network.
Our study aims to identify significant horizontal gradients of CO2 in the karst vadose air, both spatial and temporally. We present monthly measurements of CO2 concentration, relative humidity, air temperature and 222Rn inside boreholes. In addition, we present CO2 results from an 18 hours-atmospheric air injection test. Linking them to the geophysical knowledge of voids in the study area, the results allow us to identify lateral fluxes of CO2-rich air in the vadose zone and how these fluxes are favoured by the incidence of the main karst discontinuity orientations. We observe different ventilation patterns: in spring the vadose air seems to be stored in specific orientations, while in summer there is a lower convective ventilation. The results contribute to explain the temporal variations of the chemical composition of recharge water in karst systems, as well as to support studies on the global carbon budget.
How to cite: Ojeda, L., Benavente, J., Vadillo, I., Liñán, C., and P. Sanchez-Cañete, E.: Borehole-based study of CO2-rich air transport in the vadose zone of a Mediterranean karst system (Malaga, southern Spain), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7483, https://doi.org/10.5194/egusphere-egu2020-7483, 2020.
The characterization of CO2 transport, and other C compounds (CH4, DIC, organic matter, etc.), in the vadose zone of a karst aquifer is key in order to quantify sources and sinks of carbon. In karst environments, most of the studies are focused on the dynamics of CO2 in caves, but only a few studies are related to field measurements of the CO2 content in boreholes, which provides direct insights about the vadose zone. Located at the east of the Nerja Cave (Malaga, Andalusia), one of the most important tourist caves in Spain, the vadose zone was accessed by 9 boreholes drilled into the vadose zone of a Triassic carbonate aquifer, with depths ranging between 15 and 30 m. The karst network in the study area is characterized by a great vertical heterogeneity, with significant cavities and voids at specific intervals. Groundwater levels at different altitudes are a consequence of this heterogeneity. Similarly, CO2 distribution and transport are clearly determined by the complex karst network.
Our study aims to identify significant horizontal gradients of CO2 in the karst vadose air, both spatial and temporally. We present monthly measurements of CO2 concentration, relative humidity, air temperature and 222Rn inside boreholes. In addition, we present CO2 results from an 18 hours-atmospheric air injection test. Linking them to the geophysical knowledge of voids in the study area, the results allow us to identify lateral fluxes of CO2-rich air in the vadose zone and how these fluxes are favoured by the incidence of the main karst discontinuity orientations. We observe different ventilation patterns: in spring the vadose air seems to be stored in specific orientations, while in summer there is a lower convective ventilation. The results contribute to explain the temporal variations of the chemical composition of recharge water in karst systems, as well as to support studies on the global carbon budget.
How to cite: Ojeda, L., Benavente, J., Vadillo, I., Liñán, C., and P. Sanchez-Cañete, E.: Borehole-based study of CO2-rich air transport in the vadose zone of a Mediterranean karst system (Malaga, southern Spain), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7483, https://doi.org/10.5194/egusphere-egu2020-7483, 2020.
EGU2020-21793 | Displays | BG3.3
On the role of cave-soil in the carbon cycle. A fist approach.Soledad Cuezva, Tamara Martin-Pozas, Angel Fernandez-Cortes, Juan Carlos Canaveras, Ivan Janssens, and Sergio Sanchez-Moral
Karsts cover up to 25 % of the land surface and contain significant sedimentary deposits that become active cave-soils. Subterranean karst ecosystems play an active role in the global carbon cycle in terms of their contribution to the global GHG balance. They act alternately as a source or sink of CO2 and as a rapid sink of CH4. The most recent results indicate that microbiota must play a significant ecological role in the biogeochemical processes that control the subterranean atmosphere composition. Soils forming underneath the surface must host a large part of the subterranean microbiota. But to date, their behaviour concerning the production of gases and exchange with the “confined troposphere” has not been evaluated. Systematic direct estimates of CO2 and CH4 fluxes from cave-soils do not exist in literature. And they are needed before global generalizations can be made about the carbon budgets (emissions and sinks) of karstic ecosystems.
Here we present pioneering research to evaluate the carbon fluxes from the cave soils directly exchanged with the cave atmosphere. This preliminary study is the first approach to systematically characterize the role of cave-soils in the production and transport of CO2 and CH4 in the subterranean environment. We carried out automatic in situ and real-time monitoring of CO2 and CH4 diffusive fluxes from a sedimentary alluvial soil in Pindal cave for one year (north Spain). We developed seasonal campaigns for CH4 and CO2 fluxes daily continuous monitoring by a LICOR closed chamber-based gas exchange system, in conjunction with a compatible Gasmet FTIR gas analyser. Moreover, autonomous equipment monitored the main micro-environmental parameters of the local subsurface-soil-atmosphere system. To interpret gas exchange processes and rates, and to understand the underlying mechanisms in soils, we also carried out seasonal δ13C geochemical tracing by using Picarro cavity ring-down spectroscopy, through simultaneous cave atmosphere-soil-chamber air samplings. We also characterized the soil microbial communities related to the carbon cycle by meta-barcoding analyses of bacterial 16S rRNA genes and Shotgun Metagenomics.
Preliminary results show net CO2 emissions from cave-soil on a daily scale, resulting from respiration by chemotrophic microorganisms. We detect significant magnitude variations along the day, reaching occasionally values close to zero. This is remarkable in such thermo-hygrometric stable environment and absence of light. Changes in the cave ventilation regime seems to be the determining factor just in some cases. Intrinsic microbial processes appear to be decisive in others. The results also reveal net CH4 uptake from cave-soil on a daily scale, with no significant magnitude variations along the day. It seems to be linked to the metabolism of Nitrate-dependent methanotrophs belonging to the phylum Rokubacteria. Additionally, we detected significant variations in magnitude and different flow patterns in the cave-soils colonized by biofilms, most prominent in the case of moonmilk deposits.
These preliminary results confirm that cave-soil is playing an outstanding role in the processes of production, consumption and storage of CO2 and CH4 and may be partially determining the strong variations of these major GHGs in natural subterranean ecosystems.
How to cite: Cuezva, S., Martin-Pozas, T., Fernandez-Cortes, A., Canaveras, J. C., Janssens, I., and Sanchez-Moral, S.: On the role of cave-soil in the carbon cycle. A fist approach., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21793, https://doi.org/10.5194/egusphere-egu2020-21793, 2020.
Karsts cover up to 25 % of the land surface and contain significant sedimentary deposits that become active cave-soils. Subterranean karst ecosystems play an active role in the global carbon cycle in terms of their contribution to the global GHG balance. They act alternately as a source or sink of CO2 and as a rapid sink of CH4. The most recent results indicate that microbiota must play a significant ecological role in the biogeochemical processes that control the subterranean atmosphere composition. Soils forming underneath the surface must host a large part of the subterranean microbiota. But to date, their behaviour concerning the production of gases and exchange with the “confined troposphere” has not been evaluated. Systematic direct estimates of CO2 and CH4 fluxes from cave-soils do not exist in literature. And they are needed before global generalizations can be made about the carbon budgets (emissions and sinks) of karstic ecosystems.
Here we present pioneering research to evaluate the carbon fluxes from the cave soils directly exchanged with the cave atmosphere. This preliminary study is the first approach to systematically characterize the role of cave-soils in the production and transport of CO2 and CH4 in the subterranean environment. We carried out automatic in situ and real-time monitoring of CO2 and CH4 diffusive fluxes from a sedimentary alluvial soil in Pindal cave for one year (north Spain). We developed seasonal campaigns for CH4 and CO2 fluxes daily continuous monitoring by a LICOR closed chamber-based gas exchange system, in conjunction with a compatible Gasmet FTIR gas analyser. Moreover, autonomous equipment monitored the main micro-environmental parameters of the local subsurface-soil-atmosphere system. To interpret gas exchange processes and rates, and to understand the underlying mechanisms in soils, we also carried out seasonal δ13C geochemical tracing by using Picarro cavity ring-down spectroscopy, through simultaneous cave atmosphere-soil-chamber air samplings. We also characterized the soil microbial communities related to the carbon cycle by meta-barcoding analyses of bacterial 16S rRNA genes and Shotgun Metagenomics.
Preliminary results show net CO2 emissions from cave-soil on a daily scale, resulting from respiration by chemotrophic microorganisms. We detect significant magnitude variations along the day, reaching occasionally values close to zero. This is remarkable in such thermo-hygrometric stable environment and absence of light. Changes in the cave ventilation regime seems to be the determining factor just in some cases. Intrinsic microbial processes appear to be decisive in others. The results also reveal net CH4 uptake from cave-soil on a daily scale, with no significant magnitude variations along the day. It seems to be linked to the metabolism of Nitrate-dependent methanotrophs belonging to the phylum Rokubacteria. Additionally, we detected significant variations in magnitude and different flow patterns in the cave-soils colonized by biofilms, most prominent in the case of moonmilk deposits.
These preliminary results confirm that cave-soil is playing an outstanding role in the processes of production, consumption and storage of CO2 and CH4 and may be partially determining the strong variations of these major GHGs in natural subterranean ecosystems.
How to cite: Cuezva, S., Martin-Pozas, T., Fernandez-Cortes, A., Canaveras, J. C., Janssens, I., and Sanchez-Moral, S.: On the role of cave-soil in the carbon cycle. A fist approach., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21793, https://doi.org/10.5194/egusphere-egu2020-21793, 2020.
EGU2020-19189 | Displays | BG3.3
Dynamics and effects of soil CO2 on carbonate dissolution and transport in response to precipitation eventsMartin Maier, Laurin Osterholt, and Andreas Hartmann
Dissolution of CaCO3 in calcareous soils is mainly governed by CO2 which forms a weak but ubiquitous acid in the aqueous phase. Soil CO2 concentrations are generally higher than atmospheric concentrations due to the CO2 production in the soil. It is generally assumed, that it is mainly the CO2 concentration in the soil and the discharge that control the re-location of CaCO3, and thus the further formation of soil and karst. In most cases soil and karst systems are considered to be static and that the CaCO3 dissolution process is a steady state process. However, we know that soil CO2 concentrations can be highly dynamic and are affected by soil temperature and soil moisture. Our objective was to investigate whether this steady state assumption regarding carbonate dissolution and transport can be applied or whether we have to consider the dynamics and interaction of soil CO2 and dissolution of CaCO3 in the aqueous phase.
We report on insights from a 3 year field study in a calcareous soil in which soil CO2 concentrations and its response to soil moisture and precipitation were investigated. Low intensity precipitation resulted in slow increase in soil CO2 concentration, since increased soil water content blocks formerly air-filled pores. Intense precipitation events were followed by fast infiltration and probably preferential flow. Intense precipitation also resulted in temporary drops in soil CO2. These drops can be explained by a relative under-saturation of the soil solution at a certain depth. The soil solution is mixed with infiltrating rain water, which is still equilibrated with the lower atmospheric CO2 concentrations and thus drawing CO2 from the surrounding soil air. These mechanisms should results in a much stronger dissolution of local CaCO3 and net transport of dissolved CaCO3.
A following laboratory experiment on mesocosms of natural soil and restructured soil was used to test and reproduce the observed CO2 patterns as well as dissolution and transport of carbonate due to precipitation events. These experiments also showed that higher intensity of precipitation results in stronger drops in soil CO2 concentration and higher transport rates of dissolved CaCO3. Hydrus1D was used to model soil CO2 dynamics and dissolution of CaCO3 in the aqueous phase for the measured scenarios. The observed general pattern of the “drops” of soil CO2 could be easily reproduced confirming the assumption of CO2 undersaturated soil water right after the precipitation events. The natural soil mesocosm showed comparable patterns in all precipitations experiments. The restructured soil mesocosm showed a high mobilization and drainage during the first precipitations experiments which then fast declined to the level of the natural soil mesocosm. We interpret this as fast dissolution and washing off of carbonates attached to the macropore surfaces in which preferential flow occurs.
We conclude that dynamics and interaction of soil CO2 and dissolution of CaCO3 in the aqueous phase are highly dynamic and affected by preferential flow. It seems that general patterns can be reproduced using Hydrus 1D, with the hydrological parametrization as a major challenge.
This research was financially supported by DFG (MA 5826/2-1).
How to cite: Maier, M., Osterholt, L., and Hartmann, A.: Dynamics and effects of soil CO2 on carbonate dissolution and transport in response to precipitation events , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19189, https://doi.org/10.5194/egusphere-egu2020-19189, 2020.
Dissolution of CaCO3 in calcareous soils is mainly governed by CO2 which forms a weak but ubiquitous acid in the aqueous phase. Soil CO2 concentrations are generally higher than atmospheric concentrations due to the CO2 production in the soil. It is generally assumed, that it is mainly the CO2 concentration in the soil and the discharge that control the re-location of CaCO3, and thus the further formation of soil and karst. In most cases soil and karst systems are considered to be static and that the CaCO3 dissolution process is a steady state process. However, we know that soil CO2 concentrations can be highly dynamic and are affected by soil temperature and soil moisture. Our objective was to investigate whether this steady state assumption regarding carbonate dissolution and transport can be applied or whether we have to consider the dynamics and interaction of soil CO2 and dissolution of CaCO3 in the aqueous phase.
We report on insights from a 3 year field study in a calcareous soil in which soil CO2 concentrations and its response to soil moisture and precipitation were investigated. Low intensity precipitation resulted in slow increase in soil CO2 concentration, since increased soil water content blocks formerly air-filled pores. Intense precipitation events were followed by fast infiltration and probably preferential flow. Intense precipitation also resulted in temporary drops in soil CO2. These drops can be explained by a relative under-saturation of the soil solution at a certain depth. The soil solution is mixed with infiltrating rain water, which is still equilibrated with the lower atmospheric CO2 concentrations and thus drawing CO2 from the surrounding soil air. These mechanisms should results in a much stronger dissolution of local CaCO3 and net transport of dissolved CaCO3.
A following laboratory experiment on mesocosms of natural soil and restructured soil was used to test and reproduce the observed CO2 patterns as well as dissolution and transport of carbonate due to precipitation events. These experiments also showed that higher intensity of precipitation results in stronger drops in soil CO2 concentration and higher transport rates of dissolved CaCO3. Hydrus1D was used to model soil CO2 dynamics and dissolution of CaCO3 in the aqueous phase for the measured scenarios. The observed general pattern of the “drops” of soil CO2 could be easily reproduced confirming the assumption of CO2 undersaturated soil water right after the precipitation events. The natural soil mesocosm showed comparable patterns in all precipitations experiments. The restructured soil mesocosm showed a high mobilization and drainage during the first precipitations experiments which then fast declined to the level of the natural soil mesocosm. We interpret this as fast dissolution and washing off of carbonates attached to the macropore surfaces in which preferential flow occurs.
We conclude that dynamics and interaction of soil CO2 and dissolution of CaCO3 in the aqueous phase are highly dynamic and affected by preferential flow. It seems that general patterns can be reproduced using Hydrus 1D, with the hydrological parametrization as a major challenge.
This research was financially supported by DFG (MA 5826/2-1).
How to cite: Maier, M., Osterholt, L., and Hartmann, A.: Dynamics and effects of soil CO2 on carbonate dissolution and transport in response to precipitation events , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19189, https://doi.org/10.5194/egusphere-egu2020-19189, 2020.
EGU2020-6689 | Displays | BG3.3
Impact of soil incorporation of biochar on radon emissionKamil Szewczak, Katarzyna Wołoszczuk, Sławomir Jednoróg, Anna Rafalska-Przysucha, Łukasz Gluba, and Mateusz Lukowski
Biochar (charcoal made from biomass in the pyrolysis process) has found broad application in agriculture. The research performed with biochar revealed the positive impact of biochar application for chemical and physical properties of soil. Biochar was also used as an material for decontamination of soil from heavy metals and pesticides. The improved water retention of soil after biochar application was shown as well. There are particular research concerning the usage of biochar as an material for decontamination of soil from anthropogenic radioactive material including Cs-137 and Sr-90 deposited after nuclear weapon test. However, the biochar find the most practical application in agriculture for improvement of crops efficiency and water retention of soils. The typical application amount of biochar for agricultural purpose varies from 40 to 100 Mg ha-1.
Actually, there are numerous research activities focused on the direct impact of biochar on physical and chemical soil properties. Simultaneously lack of information are available for issue if and how biochar impact for environment radioactivity. As one of that impact could be the influence on radon emission from soil surface. The aim of presented work was to investigate the impact of biochar application into the soil for the radon emission process.
The research objects were soil samples collected from experimental fields with biochar applied at doses from 1 to 100 Mg ha-1. Two type of biochar were investigated – first biochar produced from sunflower husk at temperature of 650°C and second biochar produced from wood chips at temperature of 650°C. The radon emanation coefficient were assessed using active cumulative technique incorporating AlphaGUARD instrument equipped with sealed accumulation box. In addition, we directly measured radon exhalation rate at the experimental fields. As the emanation coefficient calculation require the information on Ra-226 activity concentration, the gamma spectrometry analysis using HPGe detector were performed for samples collected on particular field.
The results of activity concentration assessments shown that the most visible effect of biochar application into the soil is associated with the reduction of soil bulk density by this material. No significant changes in activity concentration depending on the biochar dose applied were observed for Ra-226. Fluctuation in radon exhalation rate as well as in emanation coefficient, depending on the biochar dose (from 1 to 100 Mg ha-1) were observed and presented.
The research was partially conducted under the projects “Water in soil – satellite monitoring and improving the retention using biochar” no. BIOSTRATEG3/345940/7/NCBR/2017, which was financed by the Polish National Centre for Research and Development in the framework of “Environment, agriculture and forestry” – BIOSTRATEG strategic R&D programme.
How to cite: Szewczak, K., Wołoszczuk, K., Jednoróg, S., Rafalska-Przysucha, A., Gluba, Ł., and Lukowski, M.: Impact of soil incorporation of biochar on radon emission, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6689, https://doi.org/10.5194/egusphere-egu2020-6689, 2020.
Biochar (charcoal made from biomass in the pyrolysis process) has found broad application in agriculture. The research performed with biochar revealed the positive impact of biochar application for chemical and physical properties of soil. Biochar was also used as an material for decontamination of soil from heavy metals and pesticides. The improved water retention of soil after biochar application was shown as well. There are particular research concerning the usage of biochar as an material for decontamination of soil from anthropogenic radioactive material including Cs-137 and Sr-90 deposited after nuclear weapon test. However, the biochar find the most practical application in agriculture for improvement of crops efficiency and water retention of soils. The typical application amount of biochar for agricultural purpose varies from 40 to 100 Mg ha-1.
Actually, there are numerous research activities focused on the direct impact of biochar on physical and chemical soil properties. Simultaneously lack of information are available for issue if and how biochar impact for environment radioactivity. As one of that impact could be the influence on radon emission from soil surface. The aim of presented work was to investigate the impact of biochar application into the soil for the radon emission process.
The research objects were soil samples collected from experimental fields with biochar applied at doses from 1 to 100 Mg ha-1. Two type of biochar were investigated – first biochar produced from sunflower husk at temperature of 650°C and second biochar produced from wood chips at temperature of 650°C. The radon emanation coefficient were assessed using active cumulative technique incorporating AlphaGUARD instrument equipped with sealed accumulation box. In addition, we directly measured radon exhalation rate at the experimental fields. As the emanation coefficient calculation require the information on Ra-226 activity concentration, the gamma spectrometry analysis using HPGe detector were performed for samples collected on particular field.
The results of activity concentration assessments shown that the most visible effect of biochar application into the soil is associated with the reduction of soil bulk density by this material. No significant changes in activity concentration depending on the biochar dose applied were observed for Ra-226. Fluctuation in radon exhalation rate as well as in emanation coefficient, depending on the biochar dose (from 1 to 100 Mg ha-1) were observed and presented.
The research was partially conducted under the projects “Water in soil – satellite monitoring and improving the retention using biochar” no. BIOSTRATEG3/345940/7/NCBR/2017, which was financed by the Polish National Centre for Research and Development in the framework of “Environment, agriculture and forestry” – BIOSTRATEG strategic R&D programme.
How to cite: Szewczak, K., Wołoszczuk, K., Jednoróg, S., Rafalska-Przysucha, A., Gluba, Ł., and Lukowski, M.: Impact of soil incorporation of biochar on radon emission, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6689, https://doi.org/10.5194/egusphere-egu2020-6689, 2020.
EGU2020-4570 | Displays | BG3.3
Use of laser spectroscopy to evaluate the influence of soil storage on N2O emissionYang Ding, Maria Heiling, Mohammad Zaman, Christian Resch, Gerd Dercon, and Lee Kheng Heng
Accurate measurements of nitrous oxide (N2O) fluxes from soils are necessary to understand dynamic changes in soil nitrogen cycles. Laboratory incubation experiments provide a controlled condition to measure these N2O fluxes. Before incubation experiments, soils are often stored at certain conditions to minimize the microbial activities. However, the effect of soil storage on N2O emission has been poorly studied. A laboratory incubation experiment was conducted using disturbed soils to study the storage effect. The soil was sieved to 2mm and the following four treatments were tested: fresh undisturbed (FU), fresh sieved (FS), fridge stored at 4ºC (ST), and stored at room temperature after drying (PI). After soil samples were brought to 60% water-filled pore space (WFPS), 15N labelled urea (1 At%) was applied at the rate of 50 mg N kg-1 soil and the soil was incubated at room temperature (23 ºC). The N2O fluxes were measured for 7 weeks using off-axis integrated cavity output spectroscopy (OA-ICOS, Los Gatos Research, California, USA). Cumulative N2O fluxes and Keeling plot intercepts (δ15N source) were calculated. The results showed that soil storage has a significant effect on N2O emission. Over the 7-week period, ST produced the highest cumulative N2O emissions (2.70 µg N g-1 soil) as well as the largest amount of N derived from fertiliser (Ndff) (1.4 µg N g-1 soil). FU produced the lowest cumulative N2O emissions (1.0 µg N g-1 soil) but the largest amount of N derived from soil (Ndfs) (0.6 µg N g-1 soil). The daily N2O fluxes of FS and FU declined rapidly after the peak emissions, but the fluxes of PI and ST fluctuated after the peaks. These results indicate that soil storage affects microbial processes and therefore N2O emissions. Our results suggest using fresh soil to avoid storage effects. If this is not possible the effect of soil storage should be considered before the experiment.
How to cite: Ding, Y., Heiling, M., Zaman, M., Resch, C., Dercon, G., and Heng, L. K.: Use of laser spectroscopy to evaluate the influence of soil storage on N2O emission, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4570, https://doi.org/10.5194/egusphere-egu2020-4570, 2020.
Accurate measurements of nitrous oxide (N2O) fluxes from soils are necessary to understand dynamic changes in soil nitrogen cycles. Laboratory incubation experiments provide a controlled condition to measure these N2O fluxes. Before incubation experiments, soils are often stored at certain conditions to minimize the microbial activities. However, the effect of soil storage on N2O emission has been poorly studied. A laboratory incubation experiment was conducted using disturbed soils to study the storage effect. The soil was sieved to 2mm and the following four treatments were tested: fresh undisturbed (FU), fresh sieved (FS), fridge stored at 4ºC (ST), and stored at room temperature after drying (PI). After soil samples were brought to 60% water-filled pore space (WFPS), 15N labelled urea (1 At%) was applied at the rate of 50 mg N kg-1 soil and the soil was incubated at room temperature (23 ºC). The N2O fluxes were measured for 7 weeks using off-axis integrated cavity output spectroscopy (OA-ICOS, Los Gatos Research, California, USA). Cumulative N2O fluxes and Keeling plot intercepts (δ15N source) were calculated. The results showed that soil storage has a significant effect on N2O emission. Over the 7-week period, ST produced the highest cumulative N2O emissions (2.70 µg N g-1 soil) as well as the largest amount of N derived from fertiliser (Ndff) (1.4 µg N g-1 soil). FU produced the lowest cumulative N2O emissions (1.0 µg N g-1 soil) but the largest amount of N derived from soil (Ndfs) (0.6 µg N g-1 soil). The daily N2O fluxes of FS and FU declined rapidly after the peak emissions, but the fluxes of PI and ST fluctuated after the peaks. These results indicate that soil storage affects microbial processes and therefore N2O emissions. Our results suggest using fresh soil to avoid storage effects. If this is not possible the effect of soil storage should be considered before the experiment.
How to cite: Ding, Y., Heiling, M., Zaman, M., Resch, C., Dercon, G., and Heng, L. K.: Use of laser spectroscopy to evaluate the influence of soil storage on N2O emission, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4570, https://doi.org/10.5194/egusphere-egu2020-4570, 2020.
EGU2020-10266 | Displays | BG3.3
Development of combined measurement method for methane, nitrous oxide and carbon dioxide without gas cylinder by gas chromatographyShigeto Sudo
Greenhouse gas emission from agricultural ecosystems are one of major environmental issue, recently. Our research aim is improving greenhouse gas flux measurement method precisely, inexpensively and automatically in agricultural ecosystems. Measurement method for CO2, CH4 and N2O simultaneous analysis (3GHG-GC) was firstly launched in 2005 followed by automatic gas sampling system (AGSS) in 2006, automatic injector for GC (RoVi) in 2013 and nitrogen generation system from compressed air for precise GC analysis in 2011, respectively. 3GHG-GC was recently further improved that the carrier gas of this method was changed from helium to nitrogen or argon to meet global requirement to save helium consumption. In "3GHG-GC", 3 stages of packed separation column using Porapak Q (Waters Co. Ltd. USA) and Unibeads C (GL Science Co. Ltd. Japan). Shimadzu GC-2014 gas chromatograph equipped with thermal conductivity detector (TCD), flame ionization detector (FID) and electron capture detector (ECD). The carrier gas was purified nitrogen generated by compressed air. The impurity of methane in the carrier nitrogen was eliminated by catalytic chemical treatment to measure precise atmospheric level of CH4. Finally the system "3GHG-GC" achieved three gas combined precise measurement with standard error of within 1% without gas cylinder for carrier gases.
How to cite: Sudo, S.: Development of combined measurement method for methane, nitrous oxide and carbon dioxide without gas cylinder by gas chromatography, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10266, https://doi.org/10.5194/egusphere-egu2020-10266, 2020.
Greenhouse gas emission from agricultural ecosystems are one of major environmental issue, recently. Our research aim is improving greenhouse gas flux measurement method precisely, inexpensively and automatically in agricultural ecosystems. Measurement method for CO2, CH4 and N2O simultaneous analysis (3GHG-GC) was firstly launched in 2005 followed by automatic gas sampling system (AGSS) in 2006, automatic injector for GC (RoVi) in 2013 and nitrogen generation system from compressed air for precise GC analysis in 2011, respectively. 3GHG-GC was recently further improved that the carrier gas of this method was changed from helium to nitrogen or argon to meet global requirement to save helium consumption. In "3GHG-GC", 3 stages of packed separation column using Porapak Q (Waters Co. Ltd. USA) and Unibeads C (GL Science Co. Ltd. Japan). Shimadzu GC-2014 gas chromatograph equipped with thermal conductivity detector (TCD), flame ionization detector (FID) and electron capture detector (ECD). The carrier gas was purified nitrogen generated by compressed air. The impurity of methane in the carrier nitrogen was eliminated by catalytic chemical treatment to measure precise atmospheric level of CH4. Finally the system "3GHG-GC" achieved three gas combined precise measurement with standard error of within 1% without gas cylinder for carrier gases.
How to cite: Sudo, S.: Development of combined measurement method for methane, nitrous oxide and carbon dioxide without gas cylinder by gas chromatography, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10266, https://doi.org/10.5194/egusphere-egu2020-10266, 2020.
EGU2020-7272 | Displays | BG3.3
Development of an in-situ CO2 gradient samplerLaurin Osterholt and Martin Maier
Gas fluxes between soil and atmosphere play an important role for the global greenhouse gas budgets. Several methods are available to determine soil gas fluxes. Besides the commonly used chamber methods the gradient method becomes more and more important. Chamber methods have the disadvantage that the microclimate can be influenced by the chamber which can affect gas fluxes. This problem does not occur with the gradient method. Furthermore the gradient method has the advantage that it can provide information about the depth profile of gas production and consumption in the soil.
The concept of the gradient method is to calculate gas fluxes by the vertical concentration gradient of a gas in the soil. For the calculation of the flux the effective diffusivity coefficient of the soil is needed. This can be approximated by models or by lab measurements. However, both of these approaches often fail in explaining site specific characteristics and spatial variability. Another way to determine soil gas diffusivity is to apply the gradient method using a tracer gas. By the injection of a tracer gas with known flux soil gas diffusivity can be measured in-situ.
We developed an innovative sampling set-up to apply an improved gradient method including the possibility to determine soil gas diffusivity in situ. We designed a sampler with build-in CO2 sensors in multiple depths that can easily be installed into the soil. With this sampler CO2 concentrations can be measured continuously in several depths. This enables the identification of short-time effects such as the influence of wind-induced pressure pumping on gas transport. The sampler allows tracer gas injection into the soil for in-situ diffusivity measurement. We decided for CO2 as a tracer gas because it can be measured with small sensors which keep the set-up simple. To account for the natural CO2 production in the soil we developed a differential gas profile approach. Using an additional reference sampler allows measuring the natural CO2 gradient without the tracer signal, and thus subtracting the tracer CO2 signal from the natural CO2 signal.
The sampler consists of one 3D print segment per depth each containing one CO2 sensor. These parts can be combined to a sampler with flexible amount of measurement depths. The construction with individual segments allows a better maintenance in case of sensor defects. For the installation of the sampler a hole has to be drilled, into which the sampler is inserted. To prevent gas bypassing along the wall of the drill hole we equipped each segment with an inflatable gasket between the measurement locations.
In a next step we will evaluate the sampler and test it in the lab and under different environmental conditions. We expect that with this sampler we will be able to run gas transport experiments in the field with a high temporal resolution and relatively low effort.
Acknowledgements
We thank Alfred Baer and Sven Kolbe for the technical support.
How to cite: Osterholt, L. and Maier, M.: Development of an in-situ CO2 gradient sampler, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7272, https://doi.org/10.5194/egusphere-egu2020-7272, 2020.
Gas fluxes between soil and atmosphere play an important role for the global greenhouse gas budgets. Several methods are available to determine soil gas fluxes. Besides the commonly used chamber methods the gradient method becomes more and more important. Chamber methods have the disadvantage that the microclimate can be influenced by the chamber which can affect gas fluxes. This problem does not occur with the gradient method. Furthermore the gradient method has the advantage that it can provide information about the depth profile of gas production and consumption in the soil.
The concept of the gradient method is to calculate gas fluxes by the vertical concentration gradient of a gas in the soil. For the calculation of the flux the effective diffusivity coefficient of the soil is needed. This can be approximated by models or by lab measurements. However, both of these approaches often fail in explaining site specific characteristics and spatial variability. Another way to determine soil gas diffusivity is to apply the gradient method using a tracer gas. By the injection of a tracer gas with known flux soil gas diffusivity can be measured in-situ.
We developed an innovative sampling set-up to apply an improved gradient method including the possibility to determine soil gas diffusivity in situ. We designed a sampler with build-in CO2 sensors in multiple depths that can easily be installed into the soil. With this sampler CO2 concentrations can be measured continuously in several depths. This enables the identification of short-time effects such as the influence of wind-induced pressure pumping on gas transport. The sampler allows tracer gas injection into the soil for in-situ diffusivity measurement. We decided for CO2 as a tracer gas because it can be measured with small sensors which keep the set-up simple. To account for the natural CO2 production in the soil we developed a differential gas profile approach. Using an additional reference sampler allows measuring the natural CO2 gradient without the tracer signal, and thus subtracting the tracer CO2 signal from the natural CO2 signal.
The sampler consists of one 3D print segment per depth each containing one CO2 sensor. These parts can be combined to a sampler with flexible amount of measurement depths. The construction with individual segments allows a better maintenance in case of sensor defects. For the installation of the sampler a hole has to be drilled, into which the sampler is inserted. To prevent gas bypassing along the wall of the drill hole we equipped each segment with an inflatable gasket between the measurement locations.
In a next step we will evaluate the sampler and test it in the lab and under different environmental conditions. We expect that with this sampler we will be able to run gas transport experiments in the field with a high temporal resolution and relatively low effort.
Acknowledgements
We thank Alfred Baer and Sven Kolbe for the technical support.
How to cite: Osterholt, L. and Maier, M.: Development of an in-situ CO2 gradient sampler, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7272, https://doi.org/10.5194/egusphere-egu2020-7272, 2020.
EGU2020-17686 | Displays | BG3.3
The effect of vertical distribution functions on CO2 efflux and production calculated with the flux gradient approachHubert Jochheim, Stephan Wirth, Sinikka Paulus, Martin Maier, Christoph Haas, and Horst H. Gerke
Soil respiration is one of the most significant carbon fluxes in terrestrial ecosystems. The analyses and quantification of soil CO2 production and its influencing factors play a crucial role in the understanding of the global carbon budget.
To investigate CO2 efflux from terrestrial soils under field conditions, manual or automated soil chambers are the most common methods. The flux-gradient approach (FGA) as an alternative method applies Fick’s law to vertical profiles of soil CO2. The FGA uses the soil gas diffusivity to calculate vertical fluxes of soil CO2 and the CO2 efflux from soil. The vertical partitioning the production of CO2 in different soil layers can be regarded as an option and an advantage of FGA as compared to chamber methods.
This investigation aims at clarifying whether a spline or an exponential function is more suitable for fitting vertical distributions of measured CO2 concentrations. We compared simulation results on the CO2 efflux and the vertical distribution of CO2 production within the soil when applying an exponential function or a spline function, respectively. Soil CO2 concentrations were measured at the soil surface and at 0, 0.1, 0.2, 0.3 and 1.0 m soil depth of a Scots pine and a European beech forest stand of the Northeast German Lowlands. Additionally, the CO2 efflux was estimated by applying the manual chamber method. The results suggest that vertical distribution function of soil CO2 affects both the calculated CO2 efflux and the production of soil CO2. The CO2 efflux from the chamber method fits best with the CO2 efflux from spline function. We discus some effects with the application of the spline function on the calculated vertical distribution of CO2 production.
How to cite: Jochheim, H., Wirth, S., Paulus, S., Maier, M., Haas, C., and Gerke, H. H.: The effect of vertical distribution functions on CO2 efflux and production calculated with the flux gradient approach, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-17686, https://doi.org/10.5194/egusphere-egu2020-17686, 2020.
Soil respiration is one of the most significant carbon fluxes in terrestrial ecosystems. The analyses and quantification of soil CO2 production and its influencing factors play a crucial role in the understanding of the global carbon budget.
To investigate CO2 efflux from terrestrial soils under field conditions, manual or automated soil chambers are the most common methods. The flux-gradient approach (FGA) as an alternative method applies Fick’s law to vertical profiles of soil CO2. The FGA uses the soil gas diffusivity to calculate vertical fluxes of soil CO2 and the CO2 efflux from soil. The vertical partitioning the production of CO2 in different soil layers can be regarded as an option and an advantage of FGA as compared to chamber methods.
This investigation aims at clarifying whether a spline or an exponential function is more suitable for fitting vertical distributions of measured CO2 concentrations. We compared simulation results on the CO2 efflux and the vertical distribution of CO2 production within the soil when applying an exponential function or a spline function, respectively. Soil CO2 concentrations were measured at the soil surface and at 0, 0.1, 0.2, 0.3 and 1.0 m soil depth of a Scots pine and a European beech forest stand of the Northeast German Lowlands. Additionally, the CO2 efflux was estimated by applying the manual chamber method. The results suggest that vertical distribution function of soil CO2 affects both the calculated CO2 efflux and the production of soil CO2. The CO2 efflux from the chamber method fits best with the CO2 efflux from spline function. We discus some effects with the application of the spline function on the calculated vertical distribution of CO2 production.
How to cite: Jochheim, H., Wirth, S., Paulus, S., Maier, M., Haas, C., and Gerke, H. H.: The effect of vertical distribution functions on CO2 efflux and production calculated with the flux gradient approach, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-17686, https://doi.org/10.5194/egusphere-egu2020-17686, 2020.
EGU2020-20806 | Displays | BG3.3
Soil organic carbon dynamics and controlling factors in typical ecosystems of the Qinghai-Tibet Platea critical zoneHongyun Yao, Pei Wang, Chao Yang, Xuebao Xu, Junqi Wei, Fangzhong Shi, Na Guo, Hongyun Yao, and Xiaoyan Li
The interface of the Earth’s critical zone is the place where organic carbon is dramatically decomposed and transformed.The dynamics and fate of organic carbon serve as an important foundation to reveal the material transportation in the Qinghai-Tibet Platea critical zones. This research analyzed temperature, soil moisture and stable carbon isotope values (δ13C) of CO2 in different soil layers, measure soil surface respiration using soil respiration measurement system (LI-8100) , and analyzed carbon storage , carbon dynamics and its controlling factors in critical zones in seven typical ecosystems of the Qinghai-Tibet Platea. The results found that the underground carbon content and its controlling factors were very different in different ecosystems on the Qinghai-Tibet Plateau. The main controlling factor of carbon changes was water in alpine steppe and desert ecosystem while it was temperature in alpine meadow. In the meanwhile, this research also measured the maximum carboxylation rate (Vcmax) of dominant plants in each ecosystem, trying to explore the different carbon inputs in different ecosystems. Understanding the impacts of environmental changes on the geochemical cycling of critical zone’s organic carbon in the Qinghai-Tibet Platea would benefit the optimization of carbon cycling model and climate change predictions.
How to cite: Yao, H., Wang, P., Yang, C., Xu, X., Wei, J., Shi, F., Guo, N., Yao, H., and Li, X.: Soil organic carbon dynamics and controlling factors in typical ecosystems of the Qinghai-Tibet Platea critical zone, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20806, https://doi.org/10.5194/egusphere-egu2020-20806, 2020.
The interface of the Earth’s critical zone is the place where organic carbon is dramatically decomposed and transformed.The dynamics and fate of organic carbon serve as an important foundation to reveal the material transportation in the Qinghai-Tibet Platea critical zones. This research analyzed temperature, soil moisture and stable carbon isotope values (δ13C) of CO2 in different soil layers, measure soil surface respiration using soil respiration measurement system (LI-8100) , and analyzed carbon storage , carbon dynamics and its controlling factors in critical zones in seven typical ecosystems of the Qinghai-Tibet Platea. The results found that the underground carbon content and its controlling factors were very different in different ecosystems on the Qinghai-Tibet Plateau. The main controlling factor of carbon changes was water in alpine steppe and desert ecosystem while it was temperature in alpine meadow. In the meanwhile, this research also measured the maximum carboxylation rate (Vcmax) of dominant plants in each ecosystem, trying to explore the different carbon inputs in different ecosystems. Understanding the impacts of environmental changes on the geochemical cycling of critical zone’s organic carbon in the Qinghai-Tibet Platea would benefit the optimization of carbon cycling model and climate change predictions.
How to cite: Yao, H., Wang, P., Yang, C., Xu, X., Wei, J., Shi, F., Guo, N., Yao, H., and Li, X.: Soil organic carbon dynamics and controlling factors in typical ecosystems of the Qinghai-Tibet Platea critical zone, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20806, https://doi.org/10.5194/egusphere-egu2020-20806, 2020.
EGU2020-12686 | Displays | BG3.3
Evaluation of modelled methane emissions over high-latitude wetlandsYao Gao, Eleanor Burke, Sarah Chadburn, Maarit Raivonen, Timo Vesala, Mika Aurela, Annalea Lohila, Huiyi Yang, Tingting Li, and Tuula Aalto
Atmospheric emissions and concentrations of CH4 are continuing to increase, making CH4 the second most important human-influenced greenhouse gas in terms of climate forcing, after CO2. Previous studies indicated that wetland CH4 emission is not only the single largest but also the most uncertain natural source in the global CH4 budget. Furthermore, the strong sensitivity of wetland CH4 emissions to environmental conditions has raised concerns on potential positive feedbacks to climate change. Therefore, evaluation of the process-based land surface models of earth system models (ESMs) in simulating CH4 emission over wetlands is needed for more precise future predictions. In this work, a set of high-latitude wetland sites with various nutrient conditions are studied. The wetland CH4 fluxes are simulated by the land surface model JULES of the UK Earth System model and the Helsinki peatland methane emission model (HIMMELI), which is developed at Finnish Meteorological Institute and Helsinki University. The differences between the modelled and observed CH4 fluxes are analyzed, complemented with key environmental variables for interpretation (e.g. soil temperature and moisture, vegetation types, snow depth, NPP, soil carbon). In general, the simulated CH4 fluxes by HIMMELI is closer to the observed CH4 fluxes in magnitude and seasonality at sites than those by JULES. The inter-annual variability of simulated CH4 fluxes by HIMMELI depends on the simulated anoxic soil respiration, which serves as the substrate of the CH4 fluxes in HIMMELI. The anoxic soil respiration is calculated based on the simulated soil respiration and water table depth in JULES. More accurate simulation of soil carbon pool and water table depth in JULES will lead to improvement in the simulated anoxic soil respiration.
How to cite: Gao, Y., Burke, E., Chadburn, S., Raivonen, M., Vesala, T., Aurela, M., Lohila, A., Yang, H., Li, T., and Aalto, T.: Evaluation of modelled methane emissions over high-latitude wetlands, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12686, https://doi.org/10.5194/egusphere-egu2020-12686, 2020.
Atmospheric emissions and concentrations of CH4 are continuing to increase, making CH4 the second most important human-influenced greenhouse gas in terms of climate forcing, after CO2. Previous studies indicated that wetland CH4 emission is not only the single largest but also the most uncertain natural source in the global CH4 budget. Furthermore, the strong sensitivity of wetland CH4 emissions to environmental conditions has raised concerns on potential positive feedbacks to climate change. Therefore, evaluation of the process-based land surface models of earth system models (ESMs) in simulating CH4 emission over wetlands is needed for more precise future predictions. In this work, a set of high-latitude wetland sites with various nutrient conditions are studied. The wetland CH4 fluxes are simulated by the land surface model JULES of the UK Earth System model and the Helsinki peatland methane emission model (HIMMELI), which is developed at Finnish Meteorological Institute and Helsinki University. The differences between the modelled and observed CH4 fluxes are analyzed, complemented with key environmental variables for interpretation (e.g. soil temperature and moisture, vegetation types, snow depth, NPP, soil carbon). In general, the simulated CH4 fluxes by HIMMELI is closer to the observed CH4 fluxes in magnitude and seasonality at sites than those by JULES. The inter-annual variability of simulated CH4 fluxes by HIMMELI depends on the simulated anoxic soil respiration, which serves as the substrate of the CH4 fluxes in HIMMELI. The anoxic soil respiration is calculated based on the simulated soil respiration and water table depth in JULES. More accurate simulation of soil carbon pool and water table depth in JULES will lead to improvement in the simulated anoxic soil respiration.
How to cite: Gao, Y., Burke, E., Chadburn, S., Raivonen, M., Vesala, T., Aurela, M., Lohila, A., Yang, H., Li, T., and Aalto, T.: Evaluation of modelled methane emissions over high-latitude wetlands, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12686, https://doi.org/10.5194/egusphere-egu2020-12686, 2020.
EGU2020-19704 | Displays | BG3.3
Spatial heterogeneity of CO2 emission in Hungarian and Croatian arable fields – preliminary resultsEszter Toth, Márton Dencső, Györgyi Gelybó, János Mészáros, Zsófia Bakacsi, Ágota Horel, Leon Josip Telak, Marija Galic, Ivica Kisic, and Igor Bogunovic
The aim of this study was to investigate the spatial heterogeneity of CO2 emission of two different croplands in Croatia (Šašinovec, 45° 50´ N; 16° 11´ E; soil type - Stagnosols) and in Hungary (Józsefmajor, 47° 40´ N; 19° 36´ E; Chernozems). The measurements of the soil water content (SWC), soil temperature (Ts), organic matter (OM) and CO2 flux was executed after the harvest of the soybean in both fields. In a regular grid (2 x 2 m and 2 x 3 m) 44 and 170 samples were collected from Croatian and Hungarian site, respectively. At Hungarian site Ts and SWC showed relatively high spatial heterogeneity, ranging from 19.4 to 24.6 oC, and from 7.5 to 34.1%, respectively. Content of soil OM had lower variability ranging from 2.0 to 2.4 % at Croatian and from 3.2 to 4.5 % at Hungarian site, respectively. CO2 efflux was 0.125 ± 0.078 and 0.060 ± 0.088 mg m- 2 s-1 in average at Croatian and Hungarian field, respectively. Investigated properties did not follow normal distribution, so logarithm transformation were applied before modelling. Kriging interpolation model for mapping soil properties is tested to compare the prediction accuracy. Soil maps showed sufficient concentrations of soil OM at Hungarian site and insufficient concentrations of OM at Croatian site. Soil CO2 efflux map showed that the largest part of the investigated area in Hungary have low loss of C, while loss of C at Croatian site is high. There are areas, especially wheeled rows, where CO2 emission is lower than the average value of the field at both investigated site. These low CO2 emission areas coincide with the compacted row of wheel tracks. For future management it is necessary to provide better conditioning of soil at Croatian site and adopt environmental friendly soil management at both sites.
This work is supported by the Croatian-Hungarian Bilateral Project (2018-2.1.12-TÉT-HR-2018-00007) and the PD116084 and NKFIH131792 reseach project.
How to cite: Toth, E., Dencső, M., Gelybó, G., Mészáros, J., Bakacsi, Z., Horel, Á., Josip Telak, L., Galic, M., Kisic, I., and Bogunovic, I.: Spatial heterogeneity of CO2 emission in Hungarian and Croatian arable fields – preliminary results, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19704, https://doi.org/10.5194/egusphere-egu2020-19704, 2020.
The aim of this study was to investigate the spatial heterogeneity of CO2 emission of two different croplands in Croatia (Šašinovec, 45° 50´ N; 16° 11´ E; soil type - Stagnosols) and in Hungary (Józsefmajor, 47° 40´ N; 19° 36´ E; Chernozems). The measurements of the soil water content (SWC), soil temperature (Ts), organic matter (OM) and CO2 flux was executed after the harvest of the soybean in both fields. In a regular grid (2 x 2 m and 2 x 3 m) 44 and 170 samples were collected from Croatian and Hungarian site, respectively. At Hungarian site Ts and SWC showed relatively high spatial heterogeneity, ranging from 19.4 to 24.6 oC, and from 7.5 to 34.1%, respectively. Content of soil OM had lower variability ranging from 2.0 to 2.4 % at Croatian and from 3.2 to 4.5 % at Hungarian site, respectively. CO2 efflux was 0.125 ± 0.078 and 0.060 ± 0.088 mg m- 2 s-1 in average at Croatian and Hungarian field, respectively. Investigated properties did not follow normal distribution, so logarithm transformation were applied before modelling. Kriging interpolation model for mapping soil properties is tested to compare the prediction accuracy. Soil maps showed sufficient concentrations of soil OM at Hungarian site and insufficient concentrations of OM at Croatian site. Soil CO2 efflux map showed that the largest part of the investigated area in Hungary have low loss of C, while loss of C at Croatian site is high. There are areas, especially wheeled rows, where CO2 emission is lower than the average value of the field at both investigated site. These low CO2 emission areas coincide with the compacted row of wheel tracks. For future management it is necessary to provide better conditioning of soil at Croatian site and adopt environmental friendly soil management at both sites.
This work is supported by the Croatian-Hungarian Bilateral Project (2018-2.1.12-TÉT-HR-2018-00007) and the PD116084 and NKFIH131792 reseach project.
How to cite: Toth, E., Dencső, M., Gelybó, G., Mészáros, J., Bakacsi, Z., Horel, Á., Josip Telak, L., Galic, M., Kisic, I., and Bogunovic, I.: Spatial heterogeneity of CO2 emission in Hungarian and Croatian arable fields – preliminary results, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19704, https://doi.org/10.5194/egusphere-egu2020-19704, 2020.
EGU2020-388 | Displays | BG3.3
N2O emission and governing factors on arable fieldsMárton Dencső, Szandra Baklanov, Ágota Horel, Györgyi Gelybó, and Eszter Tóth
This study focuses on the soil N2O emission of arable fields. We initially set up several soil column experiments in laboratory and based on these findings we started field measurements in a long term tillage experiment at Józsefmajor Experimental and Training Farm, Hungary. For the column experiments we collected undisturbed soil columns (d=10 cm, h=10 cm) from mouldboard ploughing (P) and no-till (NT) treatments. We investigated the effect of different fertilizer doses (40, 80, 160, 240 kg h-1 N), soil water content (SWC) and different tillage methods on soil N2O emission.
We found a nonlinear response of N2O emission on the applied fertilizer doses. The moderately fertilized (80-160 kg ha-1 N) samples had the highest N2O emissions. Samples from NT had higher N2O emission than samples from P. We found better correlation between N2O emission and SWC in NT (R2 is between 0.47 and 0.62) than in the P (R2 is between 0.01 and 0.35). The N2O emission values showed high spatial variability. The field measurements showed similar findings of N2O emission compared to the column experiments. In 2020 we intend to continue the field measurements and include further investigations of governing factors of soil N2O emission.
How to cite: Dencső, M., Baklanov, S., Horel, Á., Gelybó, G., and Tóth, E.: N2O emission and governing factors on arable fields, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-388, https://doi.org/10.5194/egusphere-egu2020-388, 2020.
This study focuses on the soil N2O emission of arable fields. We initially set up several soil column experiments in laboratory and based on these findings we started field measurements in a long term tillage experiment at Józsefmajor Experimental and Training Farm, Hungary. For the column experiments we collected undisturbed soil columns (d=10 cm, h=10 cm) from mouldboard ploughing (P) and no-till (NT) treatments. We investigated the effect of different fertilizer doses (40, 80, 160, 240 kg h-1 N), soil water content (SWC) and different tillage methods on soil N2O emission.
We found a nonlinear response of N2O emission on the applied fertilizer doses. The moderately fertilized (80-160 kg ha-1 N) samples had the highest N2O emissions. Samples from NT had higher N2O emission than samples from P. We found better correlation between N2O emission and SWC in NT (R2 is between 0.47 and 0.62) than in the P (R2 is between 0.01 and 0.35). The N2O emission values showed high spatial variability. The field measurements showed similar findings of N2O emission compared to the column experiments. In 2020 we intend to continue the field measurements and include further investigations of governing factors of soil N2O emission.
How to cite: Dencső, M., Baklanov, S., Horel, Á., Gelybó, G., and Tóth, E.: N2O emission and governing factors on arable fields, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-388, https://doi.org/10.5194/egusphere-egu2020-388, 2020.
EGU2020-4958 | Displays | BG3.3
Vertical interval dynamics of greenhouse gases in groundwater (Hesbaye chalk aquifer, Belgium)Olha Nikolenko, Cedric Morana, Bernard Taminiau, Alberto V. Borges, Tanguy Robert, Pascal Goderniaux, Maxime Duvivier, and Serge Brouyѐre
Increase in the concentration of greenhouse gases (GHGs) in the atmosphere threatens the existence of many ecosystems and their inhabitants. Agricultural activities contribute up to 70 % of total anthropogenic emission of nitrous oxide (N2O), one of the GHGs, which is characterized with the highest global warming potential and contributes to stratospheric ozone depletion. Our study presents the results obtained from the recent field and lab activities carried out in order to obtain better insight into the factors that define the presence of N2O in groundwater. Previous large scale investigations, performed in the Hesbaye chalk aquifer in Eastern Belgium, suggested that the concentration of N2O in the aquifer depends on different, possibly overlapping biochemical processes such as nitrification, denitrification and/or nitrifier-denitrification. This study explored the occurrence of biochemical stratification in the same aquifer and its impact on N2O production and consumption mechanisms. For this purpose low flow sampling technique was applied at different depth intervals to obtain better insight into the extent of oxic and anoxic zones and variability of concentrations of GHGs along the vertical profile. Collected groundwater samples were analyzed for the range of hydrochemical parameters as well as NO3-, N2O, H2O and B isotopes signatures and N2O isotopomers. Afterwards, rates of nitrification and denitrification processes were estimated based on short-term incubations of collected groundwater amended with NO3- and NH4+ compounds labeled with heavy 15N isotope. In addition, in order to characterize the dynamics of ongoing biogeochemical processes, polymerase chain reaction (PCR) tests for detection of the activity-specific enzymes in the aquifer were performed. Such studies help to clarify which conditions are more prone to the accumulation of high concentrations of GHGs in aquifers and better constrain models which estimate local and regional GHGs budgets.
Acknowledgments
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 675120.
How to cite: Nikolenko, O., Morana, C., Taminiau, B., Borges, A. V., Robert, T., Goderniaux, P., Duvivier, M., and Brouyѐre, S.: Vertical interval dynamics of greenhouse gases in groundwater (Hesbaye chalk aquifer, Belgium) , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4958, https://doi.org/10.5194/egusphere-egu2020-4958, 2020.
Increase in the concentration of greenhouse gases (GHGs) in the atmosphere threatens the existence of many ecosystems and their inhabitants. Agricultural activities contribute up to 70 % of total anthropogenic emission of nitrous oxide (N2O), one of the GHGs, which is characterized with the highest global warming potential and contributes to stratospheric ozone depletion. Our study presents the results obtained from the recent field and lab activities carried out in order to obtain better insight into the factors that define the presence of N2O in groundwater. Previous large scale investigations, performed in the Hesbaye chalk aquifer in Eastern Belgium, suggested that the concentration of N2O in the aquifer depends on different, possibly overlapping biochemical processes such as nitrification, denitrification and/or nitrifier-denitrification. This study explored the occurrence of biochemical stratification in the same aquifer and its impact on N2O production and consumption mechanisms. For this purpose low flow sampling technique was applied at different depth intervals to obtain better insight into the extent of oxic and anoxic zones and variability of concentrations of GHGs along the vertical profile. Collected groundwater samples were analyzed for the range of hydrochemical parameters as well as NO3-, N2O, H2O and B isotopes signatures and N2O isotopomers. Afterwards, rates of nitrification and denitrification processes were estimated based on short-term incubations of collected groundwater amended with NO3- and NH4+ compounds labeled with heavy 15N isotope. In addition, in order to characterize the dynamics of ongoing biogeochemical processes, polymerase chain reaction (PCR) tests for detection of the activity-specific enzymes in the aquifer were performed. Such studies help to clarify which conditions are more prone to the accumulation of high concentrations of GHGs in aquifers and better constrain models which estimate local and regional GHGs budgets.
Acknowledgments
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 675120.
How to cite: Nikolenko, O., Morana, C., Taminiau, B., Borges, A. V., Robert, T., Goderniaux, P., Duvivier, M., and Brouyѐre, S.: Vertical interval dynamics of greenhouse gases in groundwater (Hesbaye chalk aquifer, Belgium) , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4958, https://doi.org/10.5194/egusphere-egu2020-4958, 2020.
EGU2020-6223 | Displays | BG3.3
An open-path QCL-based instrument with sub-ppbv sensitivity for NH3 eddy covariance measurementYin Wang, Kai Wang, Peng Kang, Yin Lu, Xiaojie Zhen, Gang Liu, and Xunhua Zheng
Ammonia (NH3) emissions from farmlands and livestock are attracting more and more attention. There is an urgent need for ground-based instruments that can acquire the spatial and temporal variability in NH3 concentrations and emissions, particularly in field environments where power and shelter are not readily available. However, accurate measurements of atmospheric NH3 is of great challenges due to its reactive nature. Conventional NH3 instruments are subject to drawbacks, such as slow response time, limited precision, intensive maintenance, or high power consumption due to the use of the closed-path tube, optics, and vacuum pump.
We have developed an open-path instrument for fast (10 Hz) and sub-ppbv sensitivity measurements of atmospheric NH3 concentration. The instrument is based on second-harmonic (2f) wavelength modulated laser absorption spectroscopy technique (WM-LAS), which employs a distributed-feedback semiconductor quantum cascade laser (DFB-QCL) and a HgCdTe (MCT) photodetector. An open-path Herriott cell configuration with a 0.5 m physical path and 46 m optical path-length is used for selective and sensitive detection of the mid-infrared absorption transition of NH3 at 9.06 μm [1]. There is no delay due to sample adsorption. The instrument has a precision (1σ noise level) of 0.53 ppbv and 0.15 ppbv at a sampling frequency of 10 Hz and 1 Hz, respectively. The entire NH3 instrument has a weight of ~7 kg and dimensions of 84 cm (length) and 20 cm (diameter). It can be powered by rechargeable lithium batteries, with a total power consumption of as low as 50 W. The instrument has strong environmental adaptability and is suitable for field deployment in various environments. It can be used in ground-based or vehicle-based measurements of atmospheric NH3 concentration.
With the good performance in terms of response time and precision, this instrument is an ideal tool for NH3 flux measurements based on the eddy covariance (EC) technique [2]. An EC flux system was built based on the open-path ammonia instrument, which also included a CSAT3 sonic anemometer (Campbell Scientific®) and LI-7500 (LICOR®) for water vapor (H2O) and carbon dioxide (CO2) measurements. The system was installed at a rice paddy field with a typical Chinese-style rice-duck symbiosis system in Jiangsu province, China. Experiments showed that the lower detection limit of the EC system for NH3 flux was around 17ng m-2 s-1.
References:
[1] Miller, D. J., Sun, K., Tao, L., and Zondlo, M. A.: Open-path, quantum cascade-laser-based sensor for high-resolution atmospheric ammonia measurements, Atmos. Meas. Tech., 7, 81–93,2014.
[2] McDermitt, D., Burba, G., Xu, L., Anderson, T., Komissarov, A., Riensche, B., Schedlbauer, J., Starr, G., Zona, D., Oechel, W., Oberbauer, S., and Hastings, S.: A new low-power, open-path instrument for measuring methane flux by eddy covariance, Appl.Phys. B, 102, 391–405, 2011.
How to cite: Wang, Y., Wang, K., Kang, P., Lu, Y., Zhen, X., Liu, G., and Zheng, X.: An open-path QCL-based instrument with sub-ppbv sensitivity for NH3 eddy covariance measurement, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6223, https://doi.org/10.5194/egusphere-egu2020-6223, 2020.
Ammonia (NH3) emissions from farmlands and livestock are attracting more and more attention. There is an urgent need for ground-based instruments that can acquire the spatial and temporal variability in NH3 concentrations and emissions, particularly in field environments where power and shelter are not readily available. However, accurate measurements of atmospheric NH3 is of great challenges due to its reactive nature. Conventional NH3 instruments are subject to drawbacks, such as slow response time, limited precision, intensive maintenance, or high power consumption due to the use of the closed-path tube, optics, and vacuum pump.
We have developed an open-path instrument for fast (10 Hz) and sub-ppbv sensitivity measurements of atmospheric NH3 concentration. The instrument is based on second-harmonic (2f) wavelength modulated laser absorption spectroscopy technique (WM-LAS), which employs a distributed-feedback semiconductor quantum cascade laser (DFB-QCL) and a HgCdTe (MCT) photodetector. An open-path Herriott cell configuration with a 0.5 m physical path and 46 m optical path-length is used for selective and sensitive detection of the mid-infrared absorption transition of NH3 at 9.06 μm [1]. There is no delay due to sample adsorption. The instrument has a precision (1σ noise level) of 0.53 ppbv and 0.15 ppbv at a sampling frequency of 10 Hz and 1 Hz, respectively. The entire NH3 instrument has a weight of ~7 kg and dimensions of 84 cm (length) and 20 cm (diameter). It can be powered by rechargeable lithium batteries, with a total power consumption of as low as 50 W. The instrument has strong environmental adaptability and is suitable for field deployment in various environments. It can be used in ground-based or vehicle-based measurements of atmospheric NH3 concentration.
With the good performance in terms of response time and precision, this instrument is an ideal tool for NH3 flux measurements based on the eddy covariance (EC) technique [2]. An EC flux system was built based on the open-path ammonia instrument, which also included a CSAT3 sonic anemometer (Campbell Scientific®) and LI-7500 (LICOR®) for water vapor (H2O) and carbon dioxide (CO2) measurements. The system was installed at a rice paddy field with a typical Chinese-style rice-duck symbiosis system in Jiangsu province, China. Experiments showed that the lower detection limit of the EC system for NH3 flux was around 17ng m-2 s-1.
References:
[1] Miller, D. J., Sun, K., Tao, L., and Zondlo, M. A.: Open-path, quantum cascade-laser-based sensor for high-resolution atmospheric ammonia measurements, Atmos. Meas. Tech., 7, 81–93,2014.
[2] McDermitt, D., Burba, G., Xu, L., Anderson, T., Komissarov, A., Riensche, B., Schedlbauer, J., Starr, G., Zona, D., Oechel, W., Oberbauer, S., and Hastings, S.: A new low-power, open-path instrument for measuring methane flux by eddy covariance, Appl.Phys. B, 102, 391–405, 2011.
How to cite: Wang, Y., Wang, K., Kang, P., Lu, Y., Zhen, X., Liu, G., and Zheng, X.: An open-path QCL-based instrument with sub-ppbv sensitivity for NH3 eddy covariance measurement, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6223, https://doi.org/10.5194/egusphere-egu2020-6223, 2020.
EGU2020-13487 | Displays | BG3.3
Quantifying NH3 and CH4 emissions from a dairy housing using backward Lagrangian stochastic modellingChristoph Häni, Marcel Bühler, Sabine Schrade, Michael Zähner, Simon Wyss, Joachim Mohn, and Thomas Kupper
Inverse dispersion modelling (IDM) using a backward Lagrangian stochastic (bLS) dispersion model has been successfully applied to quantify emissions from confined ground sources e.g. as for ammonia (NH3) loss after manure spreading. The most widely used bLS model for emission measurements of NH3 and methane (CH4) from agricultural sources such as lagoons and livestock buildings is based on Flesch et al. (2004). For such applications, the model assumptions of a diffusive ground source within a homogeneous turbulence field, which implies absence of obstacles as e.g. buildings disturbing the flow, is clearly not fulfilled. It remains unclear to what extend these violations introduce bias into the emission estimates. Further, the model by Flesch et al. does not include deposition removal, which for NH3, can induce an underestimation of the emission from the source (Häni et al., 2018). Häni et al. extended the standard bLS calculation model with an optional dry deposition mechanism.
In a field campaign between mid-September and mid-December 2018, CH4 and NH3 emissions from a natural ventilated dairy housing with 40 cows were quantified using the IDM method with the bLS model by Häni et al. (2018). From the three-month period, results for 63 measurement days at 30-minute resolution were evaluated and thereof 71% of the data points were discarded from the emission calculation due to inapplicable turbulence conditions or instrument failure.
NH3 and CH4 concentrations were analysed with open-path instruments (NH3: miniDOAS,; CH4: GasFinder, Boreal Laser, Inc., Edmonton, Alberta, Canada) (aligned in parallel) with 50 m path lengths (distance between sensor and reflector). During part of the field campaign (24 days), simultaneous in-house measurements of CH4 and NH3 emissions using the tracer ratio method (iTM) (SF6 and SF5CF3, Mohn et al., 2018) were conducted and results compared with the estimates retrieved by the IDM method. Overall, the results from the IDM method compare well to the results of the in-house measurements, with mean daily emissions of 18.3 kg CH4/d (IDM) and 17.9 kg CH4/d (iTM) and 1.08 kg NH3/d (IDM) and 1.56 kg NH3/d (iTM), respectively. Regarding NH3, the IDM method was run without the inclusion of a dry deposition mechanism. First results from IDM calculations with the inclusion of dry deposition indicate, that dry deposition modelling may explain the difference in NH3 emissions between the IDM method and the iTM.
References
Flesch, T. K., Wilson, J. D., Harper, L. A., Crenna, B. P., and Sharpe, R. R.: Deducing ground-to-air emissions from observed trace gas concentrations: A field trial, J. Appl. Meteorol., 43, 487–502, 2004.
Häni, C., Flechard, C., Neftel, A., Sintermann, J., and Kupper, T.: Accounting for Field-Scale Dry Deposition in Backward Lagrangian Stochastic Dispersion Modelling of NH3 Emissions, Atmosphere, 9, 146, 2018.
Mohn, J., Zeyer, K., Keck, M., Keller, M., Zähner, M., Poteko, J., Emmenegger, L., and Schrade, S.: A dual tracer ratio method for comparative emission measurements in an experimental dairy housing, Atmospheric Environment, 179, 12–22, 2018.
How to cite: Häni, C., Bühler, M., Schrade, S., Zähner, M., Wyss, S., Mohn, J., and Kupper, T.: Quantifying NH3 and CH4 emissions from a dairy housing using backward Lagrangian stochastic modelling, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13487, https://doi.org/10.5194/egusphere-egu2020-13487, 2020.
Inverse dispersion modelling (IDM) using a backward Lagrangian stochastic (bLS) dispersion model has been successfully applied to quantify emissions from confined ground sources e.g. as for ammonia (NH3) loss after manure spreading. The most widely used bLS model for emission measurements of NH3 and methane (CH4) from agricultural sources such as lagoons and livestock buildings is based on Flesch et al. (2004). For such applications, the model assumptions of a diffusive ground source within a homogeneous turbulence field, which implies absence of obstacles as e.g. buildings disturbing the flow, is clearly not fulfilled. It remains unclear to what extend these violations introduce bias into the emission estimates. Further, the model by Flesch et al. does not include deposition removal, which for NH3, can induce an underestimation of the emission from the source (Häni et al., 2018). Häni et al. extended the standard bLS calculation model with an optional dry deposition mechanism.
In a field campaign between mid-September and mid-December 2018, CH4 and NH3 emissions from a natural ventilated dairy housing with 40 cows were quantified using the IDM method with the bLS model by Häni et al. (2018). From the three-month period, results for 63 measurement days at 30-minute resolution were evaluated and thereof 71% of the data points were discarded from the emission calculation due to inapplicable turbulence conditions or instrument failure.
NH3 and CH4 concentrations were analysed with open-path instruments (NH3: miniDOAS,; CH4: GasFinder, Boreal Laser, Inc., Edmonton, Alberta, Canada) (aligned in parallel) with 50 m path lengths (distance between sensor and reflector). During part of the field campaign (24 days), simultaneous in-house measurements of CH4 and NH3 emissions using the tracer ratio method (iTM) (SF6 and SF5CF3, Mohn et al., 2018) were conducted and results compared with the estimates retrieved by the IDM method. Overall, the results from the IDM method compare well to the results of the in-house measurements, with mean daily emissions of 18.3 kg CH4/d (IDM) and 17.9 kg CH4/d (iTM) and 1.08 kg NH3/d (IDM) and 1.56 kg NH3/d (iTM), respectively. Regarding NH3, the IDM method was run without the inclusion of a dry deposition mechanism. First results from IDM calculations with the inclusion of dry deposition indicate, that dry deposition modelling may explain the difference in NH3 emissions between the IDM method and the iTM.
References
Flesch, T. K., Wilson, J. D., Harper, L. A., Crenna, B. P., and Sharpe, R. R.: Deducing ground-to-air emissions from observed trace gas concentrations: A field trial, J. Appl. Meteorol., 43, 487–502, 2004.
Häni, C., Flechard, C., Neftel, A., Sintermann, J., and Kupper, T.: Accounting for Field-Scale Dry Deposition in Backward Lagrangian Stochastic Dispersion Modelling of NH3 Emissions, Atmosphere, 9, 146, 2018.
Mohn, J., Zeyer, K., Keck, M., Keller, M., Zähner, M., Poteko, J., Emmenegger, L., and Schrade, S.: A dual tracer ratio method for comparative emission measurements in an experimental dairy housing, Atmospheric Environment, 179, 12–22, 2018.
How to cite: Häni, C., Bühler, M., Schrade, S., Zähner, M., Wyss, S., Mohn, J., and Kupper, T.: Quantifying NH3 and CH4 emissions from a dairy housing using backward Lagrangian stochastic modelling, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13487, https://doi.org/10.5194/egusphere-egu2020-13487, 2020.
EGU2020-9837 | Displays | BG3.3
Evapotranspiration over a rainfed maize field in northeast China: how are relationships between the environment and terrestrial evapotranspiration mediated by leaf area?Li Zhou, Yu Wang, and Guangsheng Zhou
As a central process in the hydrological system and the climate system, terrestrial evapotranspiration is a key factor furthering our understanding of the climate change processes. Knowledge of factors controlling the variability in evapotranspiration is crucial for the prediction of the fate of terrestrial ecosystems under environmental changes. Based on long-term (2005-2014) eddy covariance flux data observed at a rainfed maize site in northeast China, the purpose of this study was to clarify the environmental regulation of actual evapotranspiration (ET) and the extent to which the regulatory effects on ET are directly or indirectly mediated by changes in biotic factors, using the structural equation modeling (SEM) method. The results showed that annual total ET was 397 ± 35 mm for the rainfed maize site in comparison with 575 ± 169 mm of precipitation (Prec), with an ET/Prec ratio ranging from 0.43 (2012) to 1.14 (2014). It was revealed that net radiation (Rn) was the primary controlling factor of the maize ET, followed by leaf area index (LAI), vapor pressure deficit (VPD), air temperature (Ta), and soil water content (SWC). The adjusted SEM models explained 71%, 67%, and 67% of the variation in daily ET of the maize growing season (ETgs) for dry, normal, and moist years, respectively. Rn and VPD dominated ETgs in an increasing order of dry, normal, and moist years. Conversely, the effects of LAI and Ta on ETgs followed the opposite trend. This indicated that drought may increase the sensitivity of maize ET to temperature changes, and decrease the sensitivity of maize ET to radiation changes. In SEM analysis, LAI played an important mediating role in the relationship among climate, soil variables, and ETgs. Rn, VPD, Ta, and SWC all had significant indirect effects on ETgs mediated through LAI. At the annual scale, it was identified that most active days could be a robust predictor of annual ET.
How to cite: Zhou, L., Wang, Y., and Zhou, G.: Evapotranspiration over a rainfed maize field in northeast China: how are relationships between the environment and terrestrial evapotranspiration mediated by leaf area?, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9837, https://doi.org/10.5194/egusphere-egu2020-9837, 2020.
As a central process in the hydrological system and the climate system, terrestrial evapotranspiration is a key factor furthering our understanding of the climate change processes. Knowledge of factors controlling the variability in evapotranspiration is crucial for the prediction of the fate of terrestrial ecosystems under environmental changes. Based on long-term (2005-2014) eddy covariance flux data observed at a rainfed maize site in northeast China, the purpose of this study was to clarify the environmental regulation of actual evapotranspiration (ET) and the extent to which the regulatory effects on ET are directly or indirectly mediated by changes in biotic factors, using the structural equation modeling (SEM) method. The results showed that annual total ET was 397 ± 35 mm for the rainfed maize site in comparison with 575 ± 169 mm of precipitation (Prec), with an ET/Prec ratio ranging from 0.43 (2012) to 1.14 (2014). It was revealed that net radiation (Rn) was the primary controlling factor of the maize ET, followed by leaf area index (LAI), vapor pressure deficit (VPD), air temperature (Ta), and soil water content (SWC). The adjusted SEM models explained 71%, 67%, and 67% of the variation in daily ET of the maize growing season (ETgs) for dry, normal, and moist years, respectively. Rn and VPD dominated ETgs in an increasing order of dry, normal, and moist years. Conversely, the effects of LAI and Ta on ETgs followed the opposite trend. This indicated that drought may increase the sensitivity of maize ET to temperature changes, and decrease the sensitivity of maize ET to radiation changes. In SEM analysis, LAI played an important mediating role in the relationship among climate, soil variables, and ETgs. Rn, VPD, Ta, and SWC all had significant indirect effects on ETgs mediated through LAI. At the annual scale, it was identified that most active days could be a robust predictor of annual ET.
How to cite: Zhou, L., Wang, Y., and Zhou, G.: Evapotranspiration over a rainfed maize field in northeast China: how are relationships between the environment and terrestrial evapotranspiration mediated by leaf area?, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9837, https://doi.org/10.5194/egusphere-egu2020-9837, 2020.
EGU2020-17716 | Displays | BG3.3
Effect of crop residue incorporation and crop residue quality on soil N2O emissions and respiration - A laboratory measurement approachFelix Havermann, Klaus Butterbach-Bahl, Baldur Janz, Florian Engelsberger, Maria Ernfors, Patricia Laville, Gwenaëlle Lashermes, Søren O. Petersen, Arezoo Taghizadeh-Toosi, Marina A. Bleken, and Jørgen E. Olesen
Crop residues are a significant source for soil N2O emissions and major component affecting the C storage in arable soils. The balance between C sequestration and N2O emissions is delicate and depends on the type of residues and its management. Thus, residue management might be a feasible option to reduce the GHG footprint of crop production. However, the mitigation potential of residue management is highly variable and strongly affected by the crop residue quality (C and N content, C:N ratio, concentrations of lignin, cellulose and solutes), field management (incorporation depth, amount applied) as well as soil physical and soil biogeochemical properties. In the frame of the EU-ERAGAS project RESIDUEGAS, we investigated the impact of different crop residue qualities on soil respiration and reactive N fluxes as well as soil ammonium (NH4+) and nitrate (NO3-) concentrations in order to test and possibly improve existing IPCC emission factors for GHG emissions from crop residue management.
In this study, we used sieved and homogenized soil columns of 8 cm height and 12 cm diameter filled with arable soil taken from a site near Gießen, Germany. Soil columns were incubated in the laboratory for 60 days at constant soil temperature (15°C) and water-filled pore space (60 %). Residues from nine different crops (oilseed rape, winter wheat, field pea, maize, potato, mustard, red clover, sugar beet, ryegrass) were re-wetted according to field moisture level and incorporated over approx. 0-4 cm topsoil layer one week after soil re-wetting and start of the measurements. The CO2, N2O (as well as NO and NH3) fluxes were measured automatically using a dynamic chamber approach. Soil samples were additionally analyzed for soil NH4+ and NO3- concentrations at specific time steps during the experiment.
Re-wetting of the dry soil immediately resulted in a sharp increase of soil N2O and CO2 emissions, which, however, was less pronounced than peak emissions following residue incorporation. Those were 4-5 times higher as compared to soil cores without residue amendment. Elevated emissions were short-lived and declined to background levels within 10 days for N2O and within 30 days for CO2. However, a small but significant period of higher than background N2O emissions was observed in the second half of the incubation period, which might be directly related to the decomposition of slower decomposable organic matter such as lignin and cellulose from crop residues. Generally, the emission magnitude was strongly affected by the crop residue quality, with highest N2O as well as CO2 emissions being calculated for residues with a narrow C:N ratio. However, C:N ratio was not the single explaining factor. The range of calculated emission factors (fraction of cumulatively emitted N2O-N to crop residue N input) over a 60 day period was larger than the range given by IPCC in 2006.
How to cite: Havermann, F., Butterbach-Bahl, K., Janz, B., Engelsberger, F., Ernfors, M., Laville, P., Lashermes, G., Petersen, S. O., Taghizadeh-Toosi, A., Bleken, M. A., and Olesen, J. E.: Effect of crop residue incorporation and crop residue quality on soil N2O emissions and respiration - A laboratory measurement approach, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-17716, https://doi.org/10.5194/egusphere-egu2020-17716, 2020.
Crop residues are a significant source for soil N2O emissions and major component affecting the C storage in arable soils. The balance between C sequestration and N2O emissions is delicate and depends on the type of residues and its management. Thus, residue management might be a feasible option to reduce the GHG footprint of crop production. However, the mitigation potential of residue management is highly variable and strongly affected by the crop residue quality (C and N content, C:N ratio, concentrations of lignin, cellulose and solutes), field management (incorporation depth, amount applied) as well as soil physical and soil biogeochemical properties. In the frame of the EU-ERAGAS project RESIDUEGAS, we investigated the impact of different crop residue qualities on soil respiration and reactive N fluxes as well as soil ammonium (NH4+) and nitrate (NO3-) concentrations in order to test and possibly improve existing IPCC emission factors for GHG emissions from crop residue management.
In this study, we used sieved and homogenized soil columns of 8 cm height and 12 cm diameter filled with arable soil taken from a site near Gießen, Germany. Soil columns were incubated in the laboratory for 60 days at constant soil temperature (15°C) and water-filled pore space (60 %). Residues from nine different crops (oilseed rape, winter wheat, field pea, maize, potato, mustard, red clover, sugar beet, ryegrass) were re-wetted according to field moisture level and incorporated over approx. 0-4 cm topsoil layer one week after soil re-wetting and start of the measurements. The CO2, N2O (as well as NO and NH3) fluxes were measured automatically using a dynamic chamber approach. Soil samples were additionally analyzed for soil NH4+ and NO3- concentrations at specific time steps during the experiment.
Re-wetting of the dry soil immediately resulted in a sharp increase of soil N2O and CO2 emissions, which, however, was less pronounced than peak emissions following residue incorporation. Those were 4-5 times higher as compared to soil cores without residue amendment. Elevated emissions were short-lived and declined to background levels within 10 days for N2O and within 30 days for CO2. However, a small but significant period of higher than background N2O emissions was observed in the second half of the incubation period, which might be directly related to the decomposition of slower decomposable organic matter such as lignin and cellulose from crop residues. Generally, the emission magnitude was strongly affected by the crop residue quality, with highest N2O as well as CO2 emissions being calculated for residues with a narrow C:N ratio. However, C:N ratio was not the single explaining factor. The range of calculated emission factors (fraction of cumulatively emitted N2O-N to crop residue N input) over a 60 day period was larger than the range given by IPCC in 2006.
How to cite: Havermann, F., Butterbach-Bahl, K., Janz, B., Engelsberger, F., Ernfors, M., Laville, P., Lashermes, G., Petersen, S. O., Taghizadeh-Toosi, A., Bleken, M. A., and Olesen, J. E.: Effect of crop residue incorporation and crop residue quality on soil N2O emissions and respiration - A laboratory measurement approach, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-17716, https://doi.org/10.5194/egusphere-egu2020-17716, 2020.
EGU2020-19924 | Displays | BG3.3
First field estimation of greenhouse gas emissions from European soil-dwelling Scarabaeidae larvae targeting the genus MelolonthaCarolyn-Monika Görres and Claudia Kammann
Arthropods are a major soil fauna group, and have the potential to substantially influence the spatial and temporal variability of soil greenhouse gas (GHG) sinks and sources. The overall effect of soil-inhabiting arthropods on soil GHG fluxes still remains poorly quantified since the majority of the available data comes from laboratory experiments, is often controversial, and has been limited to a few species. The main objective of this study was to provide first insights into field-level carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O) emissions of soil-inhabiting larvae of the Scarabaeidae family. Larvae of the genus Melolontha were excavated at various grassland and forest sites in west-central and southern Germany, covering a wide range of different larval developmental stages, and larval activity levels. Excavated larvae were immediately incubated in the field to measure their GHG emissions. Gaseous carbon emissions of individual larvae showed a large inter- and intra-site variability which was strongly correlated to larval biomass. This correlation persisted when upscaling CO2 and CH4 emissions to the plot scale. Field emission estimates for Melolontha spp. were subsequently upscaled to the European level to derive the first regional GHG emission estimates for members of the Scarabaeidae family. Estimates ranged between 10.42 and 409.53 kt CO2 yr-1, and 0.01 and 1.36 kt CH4 yr-1. Larval N2O emissions were only sporadically observed and not upscaled. For one site, a comparison of field- and laboratory-based GHG emission measurements was conducted to assess potential biases introduced by transferring Scarabaeidae larvae to artificial environments. Emission strength and variability of captive larvae decreased significantly within two weeks and the correlation between larval biomass and gaseous carbon emissions disappeared, highlighting the importance of field measurements. Overall, our data show that Scarabaeidae larvae can be significant soil GHG sources and should not be neglected in soil GHG flux research.
How to cite: Görres, C.-M. and Kammann, C.: First field estimation of greenhouse gas emissions from European soil-dwelling Scarabaeidae larvae targeting the genus Melolontha, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19924, https://doi.org/10.5194/egusphere-egu2020-19924, 2020.
Arthropods are a major soil fauna group, and have the potential to substantially influence the spatial and temporal variability of soil greenhouse gas (GHG) sinks and sources. The overall effect of soil-inhabiting arthropods on soil GHG fluxes still remains poorly quantified since the majority of the available data comes from laboratory experiments, is often controversial, and has been limited to a few species. The main objective of this study was to provide first insights into field-level carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O) emissions of soil-inhabiting larvae of the Scarabaeidae family. Larvae of the genus Melolontha were excavated at various grassland and forest sites in west-central and southern Germany, covering a wide range of different larval developmental stages, and larval activity levels. Excavated larvae were immediately incubated in the field to measure their GHG emissions. Gaseous carbon emissions of individual larvae showed a large inter- and intra-site variability which was strongly correlated to larval biomass. This correlation persisted when upscaling CO2 and CH4 emissions to the plot scale. Field emission estimates for Melolontha spp. were subsequently upscaled to the European level to derive the first regional GHG emission estimates for members of the Scarabaeidae family. Estimates ranged between 10.42 and 409.53 kt CO2 yr-1, and 0.01 and 1.36 kt CH4 yr-1. Larval N2O emissions were only sporadically observed and not upscaled. For one site, a comparison of field- and laboratory-based GHG emission measurements was conducted to assess potential biases introduced by transferring Scarabaeidae larvae to artificial environments. Emission strength and variability of captive larvae decreased significantly within two weeks and the correlation between larval biomass and gaseous carbon emissions disappeared, highlighting the importance of field measurements. Overall, our data show that Scarabaeidae larvae can be significant soil GHG sources and should not be neglected in soil GHG flux research.
How to cite: Görres, C.-M. and Kammann, C.: First field estimation of greenhouse gas emissions from European soil-dwelling Scarabaeidae larvae targeting the genus Melolontha, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19924, https://doi.org/10.5194/egusphere-egu2020-19924, 2020.
EGU2020-1345 | Displays | BG3.3
Manure happens: re-examining mitigation potential from waste-to-resource in agricultural ecosystemsZhangcai Qin
Using animal waste (manure) for soil amendments have been recognized as an efficient strategy for farm management, as well as for soil preservation and greenhouse gas (GHG) emissions mitigation. It is believed that manure can improve soil quality, increase soil organic carbon (SOC) level and therefore potentially mitigate GHG emissions. However, recent studies reported that use of manure in the field can cause large amount of nitrous oxide (N2O) emissions which in many cases offset the amount of SOC sequestered in agricultural ecosystems and eventually lead to net GHG emissions. In this report, we intended to investigate this management related mitigation option holistically, by modeling the full GHG budgets from a life cycle perspective. GHG emissions and some reactive gases (e.g., VOCs, NO) were specifically included in the manure life cycle. By re-examining the system boundary in previous studies, we show that use of manure does not necessarily cause large GHG emissions as previously reported. Net GHG emissions or mitigation potentials depend on not only SOC and N2O emissions in situ, but also emissions and reactive gases beyond the farmgate and those would have been released anyway.
How to cite: Qin, Z.: Manure happens: re-examining mitigation potential from waste-to-resource in agricultural ecosystems, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1345, https://doi.org/10.5194/egusphere-egu2020-1345, 2020.
Using animal waste (manure) for soil amendments have been recognized as an efficient strategy for farm management, as well as for soil preservation and greenhouse gas (GHG) emissions mitigation. It is believed that manure can improve soil quality, increase soil organic carbon (SOC) level and therefore potentially mitigate GHG emissions. However, recent studies reported that use of manure in the field can cause large amount of nitrous oxide (N2O) emissions which in many cases offset the amount of SOC sequestered in agricultural ecosystems and eventually lead to net GHG emissions. In this report, we intended to investigate this management related mitigation option holistically, by modeling the full GHG budgets from a life cycle perspective. GHG emissions and some reactive gases (e.g., VOCs, NO) were specifically included in the manure life cycle. By re-examining the system boundary in previous studies, we show that use of manure does not necessarily cause large GHG emissions as previously reported. Net GHG emissions or mitigation potentials depend on not only SOC and N2O emissions in situ, but also emissions and reactive gases beyond the farmgate and those would have been released anyway.
How to cite: Qin, Z.: Manure happens: re-examining mitigation potential from waste-to-resource in agricultural ecosystems, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1345, https://doi.org/10.5194/egusphere-egu2020-1345, 2020.
EGU2020-13057 | Displays | BG3.3
The complexity of biogenic boreal emissions through the lens of hydroxyl radical (OH) reactivityArnaud P. Praplan, Simon Schallhart, Toni Tykkä, Jaana Bäck, and Heidi Hellén
Di Carlo et al. (2004) identified a discrepancy between measured total hydroxyl radical (OH) reactivity and the OH reactivity derived from the known air chemical composition in a forested environment. This missing reactivity has also been observed in the boreal forest (Sinha et al., 2010; Nölscher et al., 2012; Praplan et al., 2019). It remains ambiguous (e.g. Nölscher et al., 2013) if this missing reactivity stems from unknown primary emissions of volatile organic compounds (VOCs) from vegetation or from other sources (e.g. soil).
In order to further investigate emissions from a boreal forest, we applied the Comparative Reactivity Method (CRM; Sinha et al., 2008; Praplan et al., 2017) to emission measurements. Simultaneously, the emissions were chemically characterized with on-line gas chromatography coupled to mass spectrometery (GC/MS) methods.
In a first stage of the study (May to October 2017), measurements alternated between seedlings of Scots pine (Pinus sylvestris), Norway spruce (Picea abies), and downy birch (Betula pubescens). They were placed in pots outside of the container were the instrumentation was placed at the SMEAR II station in Hyytiälä, Finland. In a second stage (May to September 2019), emissions from forest trees (Norway spruce and Downy birch) for in situ conditions were analysed.
The results show large variations of emission profiles and amounts throughout the year. In particular seedling were subject to periods of high stress which saw a large fraction of Green Leaf Volatiles (GLVs) contributing to the reactivity and a general increase of the emissions and the total observed reactivity. Trees from the forest were less prone to such stress and their emissions are higher in the spring and early summer compared to later summer and autumn.
While the presented dataset is limited and difficult to extrapolate from, it highlights important factors that need to be taken into account when modelling emissions: variability between tree species and individual trees, seasonal variations (slow changes) and stress factors (rapid changes), for instance.
References:
- Di Carlo et al. (2004), Science, 304, 722–725, doi:10.1126/science.1094392.
- Nölscher et al. (2012), Atmos. Chem. Phys., 12, 8257–8270, doi:10.5194/acp-12-8257-2012.
- Nölscher et al. (2013), Biogeosciences, 10, 4241–4257, doi:10.5194/bg-10-4241-2013.
- Praplan et al. (2017), Atmos. Env., 169, 150–161, doi:10.1016/j.atmosenv.2017.09.013.
- Praplan et al. (2019), Atmos. Chem. Phys., 19, 14431–14453, doi:10.5194/acp-19-14431-2019.
- Sinha et al. (2008), Atmos. Chem. Phys., 8, 2213–2227, doi:10.5194/acp-8-2213-2008.
- Sinha et al. (2010), Environ. Sci. Technol., 44, 6614–6620, doi:10.1021/es101780b.
How to cite: Praplan, A. P., Schallhart, S., Tykkä, T., Bäck, J., and Hellén, H.: The complexity of biogenic boreal emissions through the lens of hydroxyl radical (OH) reactivity, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13057, https://doi.org/10.5194/egusphere-egu2020-13057, 2020.
Di Carlo et al. (2004) identified a discrepancy between measured total hydroxyl radical (OH) reactivity and the OH reactivity derived from the known air chemical composition in a forested environment. This missing reactivity has also been observed in the boreal forest (Sinha et al., 2010; Nölscher et al., 2012; Praplan et al., 2019). It remains ambiguous (e.g. Nölscher et al., 2013) if this missing reactivity stems from unknown primary emissions of volatile organic compounds (VOCs) from vegetation or from other sources (e.g. soil).
In order to further investigate emissions from a boreal forest, we applied the Comparative Reactivity Method (CRM; Sinha et al., 2008; Praplan et al., 2017) to emission measurements. Simultaneously, the emissions were chemically characterized with on-line gas chromatography coupled to mass spectrometery (GC/MS) methods.
In a first stage of the study (May to October 2017), measurements alternated between seedlings of Scots pine (Pinus sylvestris), Norway spruce (Picea abies), and downy birch (Betula pubescens). They were placed in pots outside of the container were the instrumentation was placed at the SMEAR II station in Hyytiälä, Finland. In a second stage (May to September 2019), emissions from forest trees (Norway spruce and Downy birch) for in situ conditions were analysed.
The results show large variations of emission profiles and amounts throughout the year. In particular seedling were subject to periods of high stress which saw a large fraction of Green Leaf Volatiles (GLVs) contributing to the reactivity and a general increase of the emissions and the total observed reactivity. Trees from the forest were less prone to such stress and their emissions are higher in the spring and early summer compared to later summer and autumn.
While the presented dataset is limited and difficult to extrapolate from, it highlights important factors that need to be taken into account when modelling emissions: variability between tree species and individual trees, seasonal variations (slow changes) and stress factors (rapid changes), for instance.
References:
- Di Carlo et al. (2004), Science, 304, 722–725, doi:10.1126/science.1094392.
- Nölscher et al. (2012), Atmos. Chem. Phys., 12, 8257–8270, doi:10.5194/acp-12-8257-2012.
- Nölscher et al. (2013), Biogeosciences, 10, 4241–4257, doi:10.5194/bg-10-4241-2013.
- Praplan et al. (2017), Atmos. Env., 169, 150–161, doi:10.1016/j.atmosenv.2017.09.013.
- Praplan et al. (2019), Atmos. Chem. Phys., 19, 14431–14453, doi:10.5194/acp-19-14431-2019.
- Sinha et al. (2008), Atmos. Chem. Phys., 8, 2213–2227, doi:10.5194/acp-8-2213-2008.
- Sinha et al. (2010), Environ. Sci. Technol., 44, 6614–6620, doi:10.1021/es101780b.
How to cite: Praplan, A. P., Schallhart, S., Tykkä, T., Bäck, J., and Hellén, H.: The complexity of biogenic boreal emissions through the lens of hydroxyl radical (OH) reactivity, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13057, https://doi.org/10.5194/egusphere-egu2020-13057, 2020.
EGU2020-6896 | Displays | BG3.3
Does stand age affect methane consumption of forest soil? A study in a chronosequence of sessile oak.Nicolas Bras, Caroline Plain, and Daniel Epron
Soils play an important role of atmospheric methane sink, consuming about 30 Tg year-1. Methane consumption is carried out by methanotrophic bacteria whose activity can be affected by different environmental factors. One of the most important factors that impact on methane consumption is the air-filled porosity of soil (AFP), which depends on its total porosity (P) and its water content (SWC). A high AFP enhances gas diffusion in soil, and therefore methane consumption. In forests, P is thought to increase with stand age because of soil decompaction by tree roots and SWC is thought to decrease because of a high evapotranspiration. Another factor that can affect methane consumption and thought to decrease with the aging of forest stands is mineral nitrogen (Nmin) and particularly ammonium that competes with methane for the active site of methane monooxygenase, thus reducing methane oxidation. However only few studies have addressed the effects of stand aging on soil methane consumption.
Our objective was to confirm the hypothesis that methane consumption by forest soil increases with stand age, in relation with an increase AFP and a decrease Nmin. We carried out this study in a chronosequence of 16 stands of sessile oak divided into six age classes (20-30, 40-60, 60-70, 85-90, 125-130 and 140-145). Three sampling campaigns were conducted in late summer 2018 and 2019 (periods of maximum AFP) and in early spring 2018 (period of minimum AFP). Soil methane consumption was measured by incubating the five first centimetres of soil cores at 20°C and by measuring the decrease of CH4 concentration in the incubation chamber with a laser-based CH4 analyser.
In contrast to our hypothesis, we did not find any significant effect of stand age on Nmin, P, SWC and AFP, nor on methane consumption. However, methane consumption was higher in stands with high values of AFP and low value of SWC, whatever their age. AFP, through differences in SWC, appeared to be the main driver of soil methane consumption in our study site, explaining both seasonal variations and variations among stands, that could not however be related to their age.
How to cite: Bras, N., Plain, C., and Epron, D.: Does stand age affect methane consumption of forest soil? A study in a chronosequence of sessile oak., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6896, https://doi.org/10.5194/egusphere-egu2020-6896, 2020.
Soils play an important role of atmospheric methane sink, consuming about 30 Tg year-1. Methane consumption is carried out by methanotrophic bacteria whose activity can be affected by different environmental factors. One of the most important factors that impact on methane consumption is the air-filled porosity of soil (AFP), which depends on its total porosity (P) and its water content (SWC). A high AFP enhances gas diffusion in soil, and therefore methane consumption. In forests, P is thought to increase with stand age because of soil decompaction by tree roots and SWC is thought to decrease because of a high evapotranspiration. Another factor that can affect methane consumption and thought to decrease with the aging of forest stands is mineral nitrogen (Nmin) and particularly ammonium that competes with methane for the active site of methane monooxygenase, thus reducing methane oxidation. However only few studies have addressed the effects of stand aging on soil methane consumption.
Our objective was to confirm the hypothesis that methane consumption by forest soil increases with stand age, in relation with an increase AFP and a decrease Nmin. We carried out this study in a chronosequence of 16 stands of sessile oak divided into six age classes (20-30, 40-60, 60-70, 85-90, 125-130 and 140-145). Three sampling campaigns were conducted in late summer 2018 and 2019 (periods of maximum AFP) and in early spring 2018 (period of minimum AFP). Soil methane consumption was measured by incubating the five first centimetres of soil cores at 20°C and by measuring the decrease of CH4 concentration in the incubation chamber with a laser-based CH4 analyser.
In contrast to our hypothesis, we did not find any significant effect of stand age on Nmin, P, SWC and AFP, nor on methane consumption. However, methane consumption was higher in stands with high values of AFP and low value of SWC, whatever their age. AFP, through differences in SWC, appeared to be the main driver of soil methane consumption in our study site, explaining both seasonal variations and variations among stands, that could not however be related to their age.
How to cite: Bras, N., Plain, C., and Epron, D.: Does stand age affect methane consumption of forest soil? A study in a chronosequence of sessile oak., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6896, https://doi.org/10.5194/egusphere-egu2020-6896, 2020.
EGU2020-5094 | Displays | BG3.3
Logging residue produces greenhouse gases in boreal forestsAntti Laihonen and Marja Tiirola
Living trees are recognized as sources of greenhouse gases carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O). However, less is known about greenhouse gas exchange in deadwood during its decay, and especially in logging residue. During the logging process, logging residue is produced in large amounts. Even though residue can be harvested for energy production, significant amounts of logging residue is still left in forests. In Finland, 30 % of the logging residue is recommended to be left on the logging site. It has been estimated, that in the European Union, annually over 200 million cubic meters of logging residue is produced, which of approximately one sixth is produced solely in Finland. As an example, only 2.7 million cubic meters of logging residue was recovered from Finnish forests and used for energy production in 2018.
We hypothesized that logging residue left in forests produces various greenhouse gases – CO2, CH4 and N2O – during its decay. We studied greenhouse gas exchange in logging residue of spruce (Picea abies) and birch (Betula sp.) with focus on logs with average diameter of 5 – 10 cm. Residue was collected from 18 different research areas, covering approximately 47 hectares of spruce-dominated forest in Central Finland. All research areas were clear cuts, with known cut ages; the studied logs had decayed between 0 and 10 years. The study was carried out in 2019 during an eight-month period from May to December. In addition to greenhouse gas flux, dry matter content of logs was determined. All studied logs were a source of CO2, with CO2 flux correlating with log decay time and dry matter content. CO2 emission was observed to be dependent on ambient temperature. In general, we detected low CH4 emissions from logging residue; opposite to CO2, no clear trend was found between CH4 flux and log decay time or dry matter content. N2O results were similar to CH4, with low overall emissions. Dry matter content of logs correlated well with log decay time, with dry matter content decreasing as the logs were more decayed. Our study is an important step in understanding greenhouse gas exchange in logging residue and decaying wood in forests.
How to cite: Laihonen, A. and Tiirola, M.: Logging residue produces greenhouse gases in boreal forests, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5094, https://doi.org/10.5194/egusphere-egu2020-5094, 2020.
Living trees are recognized as sources of greenhouse gases carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O). However, less is known about greenhouse gas exchange in deadwood during its decay, and especially in logging residue. During the logging process, logging residue is produced in large amounts. Even though residue can be harvested for energy production, significant amounts of logging residue is still left in forests. In Finland, 30 % of the logging residue is recommended to be left on the logging site. It has been estimated, that in the European Union, annually over 200 million cubic meters of logging residue is produced, which of approximately one sixth is produced solely in Finland. As an example, only 2.7 million cubic meters of logging residue was recovered from Finnish forests and used for energy production in 2018.
We hypothesized that logging residue left in forests produces various greenhouse gases – CO2, CH4 and N2O – during its decay. We studied greenhouse gas exchange in logging residue of spruce (Picea abies) and birch (Betula sp.) with focus on logs with average diameter of 5 – 10 cm. Residue was collected from 18 different research areas, covering approximately 47 hectares of spruce-dominated forest in Central Finland. All research areas were clear cuts, with known cut ages; the studied logs had decayed between 0 and 10 years. The study was carried out in 2019 during an eight-month period from May to December. In addition to greenhouse gas flux, dry matter content of logs was determined. All studied logs were a source of CO2, with CO2 flux correlating with log decay time and dry matter content. CO2 emission was observed to be dependent on ambient temperature. In general, we detected low CH4 emissions from logging residue; opposite to CO2, no clear trend was found between CH4 flux and log decay time or dry matter content. N2O results were similar to CH4, with low overall emissions. Dry matter content of logs correlated well with log decay time, with dry matter content decreasing as the logs were more decayed. Our study is an important step in understanding greenhouse gas exchange in logging residue and decaying wood in forests.
How to cite: Laihonen, A. and Tiirola, M.: Logging residue produces greenhouse gases in boreal forests, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5094, https://doi.org/10.5194/egusphere-egu2020-5094, 2020.
EGU2020-7935 | Displays | BG3.3
The contribution of phyllospheric microbes on nitrous oxide fluxes of Norway spruceInga Martikainen, Anuliina Putkinen, Jukka Pumpanen, Mari Pihlatie, and Henri Siljanen
EGU2020-2892 | Displays | BG3.3
Spruce resins constitute a strong sink for methane (CH4)Katerina Machacova, Thomas Schindler, Ülo Mander, and Kaido Soosaar
Woody plants are known to emit methane (CH4) as an important greenhouse gas into the atmosphere. Recent studies show that tree stems might be also sinks for CH4; however, the mechanisms of CH4 uptake and its fate are unknown. Norway spruce (Picea abies) is characterised as negligible CH4 source in boreal forests. Even though spruce trees have been widely planted for its wood in large-scale monocultures in European temperate forests, no studies have focused on their CH4 exchange potential in the temperate zone.
We determined stems of Norway spruce growing in a temperate zone aiming to find out whether the tree stems exchange CH4 with the atmosphere and how they contribute to the forest trace gas exchange.
The measurements were performed at the experimental station of the ‘Kranzberg Forest Roof Experiment’ near Freising, Germany, in June 2019. Fluxes of CH4 in mature tree stems were measured using non-steady-state stem chamber systems (n=32) installed in stem vertical profile approx. two weeks prior to measurements using a portable greenhouse gas analyser. Moreover, resins sampled from spruce stems were investigated for their CH4 exchange potential. Control measurements were performed to ensure that the fluxes do not originate from used chamber materials, in particular silicones used for chamber installation.
Our preliminary results show that the spruce stems can be a strong sink for CH4 (-0.288 ± 0.053 mg CH4 m-2 stem area h-1, mean ± s.e.), even if a small amount of resin is present on the bark. The stems exuded resins to different extent (covering 4.8 ± 1.3% of the stem surface area in chambers), partly as a result of smoothening of rough surface layers of dead bark for chamber installation. However, even spruce stems without obvious “injuries” released small amounts of resins for unknown reasons (response to drought, bark-beetle attack, etc.?). The incubated resin samples consistently consumed CH4 (-12.0 ± 1.7 mg CH4 m-2 resin area h-1). Moreover, the detected stem CH4 uptake negatively correlated with the resin occurrence in the stem chambers (R² = 0.884). After re-calculation of the stem fluxes to resin area, the CH4 consumption rates of stems and resin samples were in the same order of magnitude at median level (-13.2 and -12.0 mg CH4 m-2 resin area h-1, resp.).
Concluded, the spruce resins appear to be a very strong and until now undiscovered sink for CH4. Even one small droplet of resins on bark can turn the known negligible CH4 exchange of intact spruce stems into strong CH4 sinks, having thus severe impact on the overall forest CH4 balance. This consumption potential of fresh resins should be considered by estimation of forest ecosystem CH4 balance especially in areas, where resin bleeding is widely spread or is to be expected (bark-beetle areas, drought events, tree harvest, clear-cutting).
Acknowledgement
This research was supported by the Czech Science Foundation (17-18112Y) and National Sustainability Program I (LO1415). We thank Prof. Thorsten Grams for all his kind support, and Jan Hrdlička and Thomas Feuerbach for their technical support.
How to cite: Machacova, K., Schindler, T., Mander, Ü., and Soosaar, K.: Spruce resins constitute a strong sink for methane (CH4), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2892, https://doi.org/10.5194/egusphere-egu2020-2892, 2020.
Woody plants are known to emit methane (CH4) as an important greenhouse gas into the atmosphere. Recent studies show that tree stems might be also sinks for CH4; however, the mechanisms of CH4 uptake and its fate are unknown. Norway spruce (Picea abies) is characterised as negligible CH4 source in boreal forests. Even though spruce trees have been widely planted for its wood in large-scale monocultures in European temperate forests, no studies have focused on their CH4 exchange potential in the temperate zone.
We determined stems of Norway spruce growing in a temperate zone aiming to find out whether the tree stems exchange CH4 with the atmosphere and how they contribute to the forest trace gas exchange.
The measurements were performed at the experimental station of the ‘Kranzberg Forest Roof Experiment’ near Freising, Germany, in June 2019. Fluxes of CH4 in mature tree stems were measured using non-steady-state stem chamber systems (n=32) installed in stem vertical profile approx. two weeks prior to measurements using a portable greenhouse gas analyser. Moreover, resins sampled from spruce stems were investigated for their CH4 exchange potential. Control measurements were performed to ensure that the fluxes do not originate from used chamber materials, in particular silicones used for chamber installation.
Our preliminary results show that the spruce stems can be a strong sink for CH4 (-0.288 ± 0.053 mg CH4 m-2 stem area h-1, mean ± s.e.), even if a small amount of resin is present on the bark. The stems exuded resins to different extent (covering 4.8 ± 1.3% of the stem surface area in chambers), partly as a result of smoothening of rough surface layers of dead bark for chamber installation. However, even spruce stems without obvious “injuries” released small amounts of resins for unknown reasons (response to drought, bark-beetle attack, etc.?). The incubated resin samples consistently consumed CH4 (-12.0 ± 1.7 mg CH4 m-2 resin area h-1). Moreover, the detected stem CH4 uptake negatively correlated with the resin occurrence in the stem chambers (R² = 0.884). After re-calculation of the stem fluxes to resin area, the CH4 consumption rates of stems and resin samples were in the same order of magnitude at median level (-13.2 and -12.0 mg CH4 m-2 resin area h-1, resp.).
Concluded, the spruce resins appear to be a very strong and until now undiscovered sink for CH4. Even one small droplet of resins on bark can turn the known negligible CH4 exchange of intact spruce stems into strong CH4 sinks, having thus severe impact on the overall forest CH4 balance. This consumption potential of fresh resins should be considered by estimation of forest ecosystem CH4 balance especially in areas, where resin bleeding is widely spread or is to be expected (bark-beetle areas, drought events, tree harvest, clear-cutting).
Acknowledgement
This research was supported by the Czech Science Foundation (17-18112Y) and National Sustainability Program I (LO1415). We thank Prof. Thorsten Grams for all his kind support, and Jan Hrdlička and Thomas Feuerbach for their technical support.
How to cite: Machacova, K., Schindler, T., Mander, Ü., and Soosaar, K.: Spruce resins constitute a strong sink for methane (CH4), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2892, https://doi.org/10.5194/egusphere-egu2020-2892, 2020.
EGU2020-9001 | Displays | BG3.3
Contribution of tree stem and canopy fluxes to the CH4 budget of a boreal birch and spruce forestMari Pihlatie, Elisa Vainio, Iikka Haikarainen, Anuliina Putkinen, Minna Santalahti, Markku Koskinen, and Katerina Machacova
Upland forest soils are typically a net methane (CH4) sink, while trees may act as CH4 sources. Studies on tree CH4 exchange in boreal forests, especially regarding canopies, are rare. We aimed to quantify the contribution of trees to the forest CH4 budget during spring leaf-out period and to reveal the role of microbes in the CH4 exchange of trees. We measured stem and shoot fluxes of two common boreal tree species at a fen and at an upland site at Hyytiälä, southern Finland, together with soil CH4 flux, environmental variables and the abundances methanogens and methanotrophs within the forest. Both birch (Betula pubescens) and spruce (Picea abies) trees emitted CH4 from their aboveground surfaces, with significantly higher stem emissions detected from the birch and higher shoot emissions from the spruce. The shoot CH4 exchange had no clear link to the vertical profile of the canopy or the progress of the leaf-out. The stem CH4 emissions from birches at the fen were high (mean 45 µg h−1 m−2) and decreased drastically with stem height. Their dynamics followed soil temperature, suggesting the emitted CH4 originated from the soil. A lack of similar pattern in the fen spruces and in the upland birch indicates other processes behind the stem CH4 fluxes of these trees. The lack of detection of methanogens or methanotrophs in the aboveground plant tissues suggest that the observed tree-derived CH4 fluxes were not induced by these microbes. The emitted CH4 from the tree stems may, however, be produced microbially in the soil indicating that physiological differences in tree anatomy or adaptation to different belowground conditions might be a key factor explaining the differences between the tree species.
Acknowledgements: This research was supported Academy of Finland (288494, 2884941), National Centre of Excellence (272041), ICOS-FINLAND (281255), Helsinki Institute of Life Science (HiLIFE), Czech Science Foundation (17-18112Y) and National Sustainability Program I (LO1415), and the European Research Council (ERC) under Horizon 2020 research and innovation programme, grant agreement No (757695).
How to cite: Pihlatie, M., Vainio, E., Haikarainen, I., Putkinen, A., Santalahti, M., Koskinen, M., and Machacova, K.: Contribution of tree stem and canopy fluxes to the CH4 budget of a boreal birch and spruce forest, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9001, https://doi.org/10.5194/egusphere-egu2020-9001, 2020.
Upland forest soils are typically a net methane (CH4) sink, while trees may act as CH4 sources. Studies on tree CH4 exchange in boreal forests, especially regarding canopies, are rare. We aimed to quantify the contribution of trees to the forest CH4 budget during spring leaf-out period and to reveal the role of microbes in the CH4 exchange of trees. We measured stem and shoot fluxes of two common boreal tree species at a fen and at an upland site at Hyytiälä, southern Finland, together with soil CH4 flux, environmental variables and the abundances methanogens and methanotrophs within the forest. Both birch (Betula pubescens) and spruce (Picea abies) trees emitted CH4 from their aboveground surfaces, with significantly higher stem emissions detected from the birch and higher shoot emissions from the spruce. The shoot CH4 exchange had no clear link to the vertical profile of the canopy or the progress of the leaf-out. The stem CH4 emissions from birches at the fen were high (mean 45 µg h−1 m−2) and decreased drastically with stem height. Their dynamics followed soil temperature, suggesting the emitted CH4 originated from the soil. A lack of similar pattern in the fen spruces and in the upland birch indicates other processes behind the stem CH4 fluxes of these trees. The lack of detection of methanogens or methanotrophs in the aboveground plant tissues suggest that the observed tree-derived CH4 fluxes were not induced by these microbes. The emitted CH4 from the tree stems may, however, be produced microbially in the soil indicating that physiological differences in tree anatomy or adaptation to different belowground conditions might be a key factor explaining the differences between the tree species.
Acknowledgements: This research was supported Academy of Finland (288494, 2884941), National Centre of Excellence (272041), ICOS-FINLAND (281255), Helsinki Institute of Life Science (HiLIFE), Czech Science Foundation (17-18112Y) and National Sustainability Program I (LO1415), and the European Research Council (ERC) under Horizon 2020 research and innovation programme, grant agreement No (757695).
How to cite: Pihlatie, M., Vainio, E., Haikarainen, I., Putkinen, A., Santalahti, M., Koskinen, M., and Machacova, K.: Contribution of tree stem and canopy fluxes to the CH4 budget of a boreal birch and spruce forest, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9001, https://doi.org/10.5194/egusphere-egu2020-9001, 2020.
EGU2020-13438 | Displays | BG3.3
Nighttime doesn’t stop N2O and CH4 exchange from riparian forest tree stems with the atmosphereThomas Schindler, Katerina Machacova, Ülo Mander, and Kaido Soosaar
Riparian forest ecosystems have been considered to be a natural source of nitrous oxide (N2O) and a natural sink of methane (CH4), both of which are important greenhouse gases (GHG) originating from microbiological processes. Wetland trees may also contribute to the GHG exchange by the release of both gases to the atmosphere or uptake therefrom. Recent studies have investigated the role of tree stems, underlining their importance in understanding forest GHG dynamics, focussing on various tree species, soil conditions or seasonal dynamics. However, knowledge about the short-termed day and night-time distributed GHG exchange of tree stems with the atmosphere is still scarce. We studied stem fluxes in a riparian forest ecosystem aiming to investigate the diurnal pattern and predict the potential influence of solar radiation.
The diurnal flux measurements were performed at 40-year-old grey alder (Alnus incana) forest stand in Estonia with 12-hour interval during July-September 2017 and May-September 2018 (n=16). The exchange of N2O and CH4 was measured from 12 trees at profile height up to 5 m (0.1, 0.8, 1.7, 2.5, 5.0 m) using non-steady state stem chamber systems and gas chromatography. Simultaneously, soil fluxes were automatically quantified using a dynamic chamber system (Picarro 2508); piezometers, automatic groundwater level wells, soil temperature and moisture sensors were installed to determine coherent soil conditions.
Our preliminary results showed N2O and CH4 emissions from alder tree stems during daytime (4.91 ± 0.15 µg m-2 h-1 and 66.38 ± 16.02 µg m-2 h-1, mean ± s.e.) and lower during nighttime (3.65 ± 0.22 µg m-2 h-1 and 51.49 ± 13.83 µg m-2 h-1, mean ± s.e.) at 0.1 m stem height, revealing a likely link to solar-driven physiological tree activity. Further, with increasing stem height, the relation of night to daytime fluxes diminished. However, the day-wise variation, including a minor GHG uptake indicates a fast response to changing micro-spatial environmental conditions like water regime in the soil and temperature.
Our study demonstrates the GHG exchange between tree stems and atmosphere occurs both in day- and night-time, showing slightly higher values in day-time, probably due to the trees’ physiological activities. Furthermore, our findings provide the potential to predict reaction kinetics in future modelling of flux pathways in forest ecosystems.
Acknowledgement
This research was supported by the Ministry of Education and Science of Estonia (SF0180127s08 grant), the Estonian Research Council (IUT2-16, PRG-352, and MOBERC20), the Czech Science Foundation (17-18112Y), the Czech National Sustainability Program I (LO1415), and the EcolChange Centre of Excellence, Estonia.
How to cite: Schindler, T., Machacova, K., Mander, Ü., and Soosaar, K.: Nighttime doesn’t stop N2O and CH4 exchange from riparian forest tree stems with the atmosphere, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13438, https://doi.org/10.5194/egusphere-egu2020-13438, 2020.
Riparian forest ecosystems have been considered to be a natural source of nitrous oxide (N2O) and a natural sink of methane (CH4), both of which are important greenhouse gases (GHG) originating from microbiological processes. Wetland trees may also contribute to the GHG exchange by the release of both gases to the atmosphere or uptake therefrom. Recent studies have investigated the role of tree stems, underlining their importance in understanding forest GHG dynamics, focussing on various tree species, soil conditions or seasonal dynamics. However, knowledge about the short-termed day and night-time distributed GHG exchange of tree stems with the atmosphere is still scarce. We studied stem fluxes in a riparian forest ecosystem aiming to investigate the diurnal pattern and predict the potential influence of solar radiation.
The diurnal flux measurements were performed at 40-year-old grey alder (Alnus incana) forest stand in Estonia with 12-hour interval during July-September 2017 and May-September 2018 (n=16). The exchange of N2O and CH4 was measured from 12 trees at profile height up to 5 m (0.1, 0.8, 1.7, 2.5, 5.0 m) using non-steady state stem chamber systems and gas chromatography. Simultaneously, soil fluxes were automatically quantified using a dynamic chamber system (Picarro 2508); piezometers, automatic groundwater level wells, soil temperature and moisture sensors were installed to determine coherent soil conditions.
Our preliminary results showed N2O and CH4 emissions from alder tree stems during daytime (4.91 ± 0.15 µg m-2 h-1 and 66.38 ± 16.02 µg m-2 h-1, mean ± s.e.) and lower during nighttime (3.65 ± 0.22 µg m-2 h-1 and 51.49 ± 13.83 µg m-2 h-1, mean ± s.e.) at 0.1 m stem height, revealing a likely link to solar-driven physiological tree activity. Further, with increasing stem height, the relation of night to daytime fluxes diminished. However, the day-wise variation, including a minor GHG uptake indicates a fast response to changing micro-spatial environmental conditions like water regime in the soil and temperature.
Our study demonstrates the GHG exchange between tree stems and atmosphere occurs both in day- and night-time, showing slightly higher values in day-time, probably due to the trees’ physiological activities. Furthermore, our findings provide the potential to predict reaction kinetics in future modelling of flux pathways in forest ecosystems.
Acknowledgement
This research was supported by the Ministry of Education and Science of Estonia (SF0180127s08 grant), the Estonian Research Council (IUT2-16, PRG-352, and MOBERC20), the Czech Science Foundation (17-18112Y), the Czech National Sustainability Program I (LO1415), and the EcolChange Centre of Excellence, Estonia.
How to cite: Schindler, T., Machacova, K., Mander, Ü., and Soosaar, K.: Nighttime doesn’t stop N2O and CH4 exchange from riparian forest tree stems with the atmosphere, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13438, https://doi.org/10.5194/egusphere-egu2020-13438, 2020.
EGU2020-6139 | Displays | BG3.3
Tropical forest CH4: from flux chambers to micrometeorological tower measurementsHella van Asperen, Thorsten Warneke, Alessandro Carioca de Araújo, Bruce Rider Forsberg, Leonardo Ramos de Oliveira, Thiago de Lima Xavier, Marta de Oliveira Sá, Paulo Ricardo Teixeira, Robson Azevedo de Oliveira, Veber Sousa de Moura, Leila do Socorro Monteiro Leal, Santiago Botia, Jošt Lavrič, Shujiro Komiya, Arnoud Frumau, Arjan Hensen, Pim van den Bulk, Danielle van Dinther, and Justus Notholt
Methane (CH4) is the second most important long-lived anthropogenic atmospheric greenhouse gas. Despite its importance, natural sources of methane, such as tropical wetlands, are still not well understood and a large source of uncertainty to the global CH4 budget. The Amazonian rain forest is estimated to hold 90-120 Pg of carbon, which is approximately 14-27% of the carbon stored in vegetation worldwide. The region is characterized by high precipitation rates and large wetlands, and it has been estimated that the Amazon basin emits 7% of the annual total CH4 emissions. Due to its remote location, micro-meteorological measurements are rare and absent for other gases than CO2.
The 50 m high K34 tower (field site ZF2) is located in a pristine tropical forest region 60 km northwest of Manaus (Brazil), and is located next to a waterlogged valley, a possible location for anaerobic CH4 production. In October 2018, in addition to the existing EC CO2 system, a Relaxed Eddy Accumulation (REA) system was set up at this tower, connected to an in-situ FTIR-analyzer. This set up continually measures fluxes and concentration profiles of CO2, CO, CH4, N2O and δ13CO2. In addition, CH4, CO2, and N2O uptake and emission processes were studied by flux chamber measurements in the footprint of the REA tower, focusing on different possible sources (soil, stream, trees and termites). In this presentation, an overview of the measured CH4 and N2O forest concentrations and fluxes will be shown.
How to cite: van Asperen, H., Warneke, T., Carioca de Araújo, A., Rider Forsberg, B., Ramos de Oliveira, L., de Lima Xavier, T., de Oliveira Sá, M., Ricardo Teixeira, P., Azevedo de Oliveira, R., Sousa de Moura, V., do Socorro Monteiro Leal, L., Botia, S., Lavrič, J., Komiya, S., Frumau, A., Hensen, A., van den Bulk, P., van Dinther, D., and Notholt, J.: Tropical forest CH4: from flux chambers to micrometeorological tower measurements, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6139, https://doi.org/10.5194/egusphere-egu2020-6139, 2020.
Methane (CH4) is the second most important long-lived anthropogenic atmospheric greenhouse gas. Despite its importance, natural sources of methane, such as tropical wetlands, are still not well understood and a large source of uncertainty to the global CH4 budget. The Amazonian rain forest is estimated to hold 90-120 Pg of carbon, which is approximately 14-27% of the carbon stored in vegetation worldwide. The region is characterized by high precipitation rates and large wetlands, and it has been estimated that the Amazon basin emits 7% of the annual total CH4 emissions. Due to its remote location, micro-meteorological measurements are rare and absent for other gases than CO2.
The 50 m high K34 tower (field site ZF2) is located in a pristine tropical forest region 60 km northwest of Manaus (Brazil), and is located next to a waterlogged valley, a possible location for anaerobic CH4 production. In October 2018, in addition to the existing EC CO2 system, a Relaxed Eddy Accumulation (REA) system was set up at this tower, connected to an in-situ FTIR-analyzer. This set up continually measures fluxes and concentration profiles of CO2, CO, CH4, N2O and δ13CO2. In addition, CH4, CO2, and N2O uptake and emission processes were studied by flux chamber measurements in the footprint of the REA tower, focusing on different possible sources (soil, stream, trees and termites). In this presentation, an overview of the measured CH4 and N2O forest concentrations and fluxes will be shown.
How to cite: van Asperen, H., Warneke, T., Carioca de Araújo, A., Rider Forsberg, B., Ramos de Oliveira, L., de Lima Xavier, T., de Oliveira Sá, M., Ricardo Teixeira, P., Azevedo de Oliveira, R., Sousa de Moura, V., do Socorro Monteiro Leal, L., Botia, S., Lavrič, J., Komiya, S., Frumau, A., Hensen, A., van den Bulk, P., van Dinther, D., and Notholt, J.: Tropical forest CH4: from flux chambers to micrometeorological tower measurements, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6139, https://doi.org/10.5194/egusphere-egu2020-6139, 2020.
BG3.5 – Peatlands under pressure
EGU2020-773 | Displays | BG3.5
Long-term feedbacks result in the recovery of the CO2 sink in a remnant peatland following water table loweringJoshua Ratcliffe, David Campbell, Louis Schipper, Aaron Wall, and Beverley Clarkson
Peatland biological, physical and chemical properties change over time in response to the long-term water table position. Such changes complicate predicting the response of peatland carbon stocks to sustained drying. Here we use Eddy Covariance measurements of CO2 exchange to study the effect of sustained water table lowering on peatland carbon dynamics. We compare measurements from a near-pristine peatland with those of a drying remnant, both raised bogs dominated by Empodisma robustum (Restionaceae), across two different time periods separated by a 16-year interval. We found that the remnant bog was initially a source of CO2 following water table lowering. However, the CO2 sink recovered and strengthened after the 16-year interval between measurements. The increase in CO2 sink strength in the remnant bog was primarily due to increased photosynthetic uptake of CO2, which exceeded that of the near-pristine site in both time periods. Additionally we found the loss of CO2 via ecosystem respiration to have declined with time, however, ecosystem respiration remained elevated compared to the near-pristine site. These trends of increasing photosynthesis and declining ecosystem respiration resulted in the CO2 sink in the dry bog reaching half the sink strength of the near-pristine bog. We consider two factors to have been key for the recovery of the CO2 sink in the remnant bog. These were 1) resilience of the peat-forming plant community to water-table change and 2) the expansion of ericoid shrubs. Our results demonstrate that the peatland carbon sink can recover from drying over a multi-decadal timescale, but questions remain as to the long-term trajectory of dry bogs and the stability of carbon fixed after water table lowering.
How to cite: Ratcliffe, J., Campbell, D., Schipper, L., Wall, A., and Clarkson, B.: Long-term feedbacks result in the recovery of the CO2 sink in a remnant peatland following water table lowering, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-773, https://doi.org/10.5194/egusphere-egu2020-773, 2020.
Peatland biological, physical and chemical properties change over time in response to the long-term water table position. Such changes complicate predicting the response of peatland carbon stocks to sustained drying. Here we use Eddy Covariance measurements of CO2 exchange to study the effect of sustained water table lowering on peatland carbon dynamics. We compare measurements from a near-pristine peatland with those of a drying remnant, both raised bogs dominated by Empodisma robustum (Restionaceae), across two different time periods separated by a 16-year interval. We found that the remnant bog was initially a source of CO2 following water table lowering. However, the CO2 sink recovered and strengthened after the 16-year interval between measurements. The increase in CO2 sink strength in the remnant bog was primarily due to increased photosynthetic uptake of CO2, which exceeded that of the near-pristine site in both time periods. Additionally we found the loss of CO2 via ecosystem respiration to have declined with time, however, ecosystem respiration remained elevated compared to the near-pristine site. These trends of increasing photosynthesis and declining ecosystem respiration resulted in the CO2 sink in the dry bog reaching half the sink strength of the near-pristine bog. We consider two factors to have been key for the recovery of the CO2 sink in the remnant bog. These were 1) resilience of the peat-forming plant community to water-table change and 2) the expansion of ericoid shrubs. Our results demonstrate that the peatland carbon sink can recover from drying over a multi-decadal timescale, but questions remain as to the long-term trajectory of dry bogs and the stability of carbon fixed after water table lowering.
How to cite: Ratcliffe, J., Campbell, D., Schipper, L., Wall, A., and Clarkson, B.: Long-term feedbacks result in the recovery of the CO2 sink in a remnant peatland following water table lowering, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-773, https://doi.org/10.5194/egusphere-egu2020-773, 2020.
EGU2020-2553 | Displays | BG3.5 | Highlight
Does nitrogen deposition lead to a weaker or stronger carbon sink in nutrient-poor peatlands?Tuula Larmola, Jani Antila, Liisa Maanavilja, Sari Juutinen, Jill L. Bubier, Elyn Humphreys, Heikki Kiheri, Tim R. Moore, Mats Nilsson, and Matthias Peichl
Atmospheric nitrogen (N) deposition is increasing owing to fossil fuel burning and agriculture. In nutrient limited peatland ecosystems, the excess of reactive N has been found to increase vascular plant growth, but decrease Sphagnum growth. Higher vascular plant abundance and higher nutrient content alter decomposability of plant litter. These changes are likely to affect net imbalance of production and decomposition and thus carbon (C) accumulation in peatlands, which store about a third of global soil C. We studied whether the vegetation feedbacks of N deposition lead to stronger or weaker C sink in nutrient-poor peatlands. We investigated vegetation and ecosystem CO2 exchange at two of the longest-running nutrient addition experiments on peatlands, Mer Bleue Bog, Canada and Degerö Stormyr poor fen, Sweden that have been fertilized with NH4NO3 (2-15 times ambient annual wet deposition) for 12-23 years. Gross photosynthesis, ecosystem respiration and net CO2 exchange were measured weekly during June-August using chambers. To examine vegetation changes with increasing N influx, we determined the peak growing season aboveground biomass and coverage of vascular plants using the point intercept method. After 12-23 years of nutrient addition, the two sites revealed contrasting patterns: At Mer Bleue the highest nutrient additions were associated with up to 3-fold net CO2 uptake potential than in the control, whereas N addition treatments at Degerö Stormyr showed close to zero net CO2 uptake potential, only 0.3 fold compared to the control. The stronger C sink potential at Mer Bleue was mainly due to up to 50% increase in the gross photosynthesis and a diminished C sink potential at Degerö Stormyr due to down to 40 % lower gross photosynthesis. Ecosystem respiration showed similar trends at both peatlands: the rates were unaltered or increased to a lesser extent under N load. At both sites, the vegetation structure had changed remarkably. Most of the N addition treatments showed an increase of up to 90% in total vascular aboveground plant abundance and a concomitant loss of Sphagnum. At Mer Bleue along with the decrease in Sphagnum cover, the plots under highest N additions had become wetter, counterbalancing the impact of dry summer conditions in the study year whereas at Degerö Stormyr long term treatments did not alter wetness of the site. Thus, the contrasting C sink responses to long term N load may be explained by the type of vegetation and the water table depth. Shrubs were strong competitors at the dry Mer Bleue Bog while sedges had gained in abundance under N load at the wetter Degerö Stormyr. Our bog-fen comparison emphasizes the value of the long-term experiments in examining the ecosystem response of peatlands to N deposition, possible nonlinear responses and whether the key feedback mechanisms to ecosystem C sink potential differ in two main types of peatlands.
How to cite: Larmola, T., Antila, J., Maanavilja, L., Juutinen, S., Bubier, J. L., Humphreys, E., Kiheri, H., Moore, T. R., Nilsson, M., and Peichl, M.: Does nitrogen deposition lead to a weaker or stronger carbon sink in nutrient-poor peatlands?, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2553, https://doi.org/10.5194/egusphere-egu2020-2553, 2020.
Atmospheric nitrogen (N) deposition is increasing owing to fossil fuel burning and agriculture. In nutrient limited peatland ecosystems, the excess of reactive N has been found to increase vascular plant growth, but decrease Sphagnum growth. Higher vascular plant abundance and higher nutrient content alter decomposability of plant litter. These changes are likely to affect net imbalance of production and decomposition and thus carbon (C) accumulation in peatlands, which store about a third of global soil C. We studied whether the vegetation feedbacks of N deposition lead to stronger or weaker C sink in nutrient-poor peatlands. We investigated vegetation and ecosystem CO2 exchange at two of the longest-running nutrient addition experiments on peatlands, Mer Bleue Bog, Canada and Degerö Stormyr poor fen, Sweden that have been fertilized with NH4NO3 (2-15 times ambient annual wet deposition) for 12-23 years. Gross photosynthesis, ecosystem respiration and net CO2 exchange were measured weekly during June-August using chambers. To examine vegetation changes with increasing N influx, we determined the peak growing season aboveground biomass and coverage of vascular plants using the point intercept method. After 12-23 years of nutrient addition, the two sites revealed contrasting patterns: At Mer Bleue the highest nutrient additions were associated with up to 3-fold net CO2 uptake potential than in the control, whereas N addition treatments at Degerö Stormyr showed close to zero net CO2 uptake potential, only 0.3 fold compared to the control. The stronger C sink potential at Mer Bleue was mainly due to up to 50% increase in the gross photosynthesis and a diminished C sink potential at Degerö Stormyr due to down to 40 % lower gross photosynthesis. Ecosystem respiration showed similar trends at both peatlands: the rates were unaltered or increased to a lesser extent under N load. At both sites, the vegetation structure had changed remarkably. Most of the N addition treatments showed an increase of up to 90% in total vascular aboveground plant abundance and a concomitant loss of Sphagnum. At Mer Bleue along with the decrease in Sphagnum cover, the plots under highest N additions had become wetter, counterbalancing the impact of dry summer conditions in the study year whereas at Degerö Stormyr long term treatments did not alter wetness of the site. Thus, the contrasting C sink responses to long term N load may be explained by the type of vegetation and the water table depth. Shrubs were strong competitors at the dry Mer Bleue Bog while sedges had gained in abundance under N load at the wetter Degerö Stormyr. Our bog-fen comparison emphasizes the value of the long-term experiments in examining the ecosystem response of peatlands to N deposition, possible nonlinear responses and whether the key feedback mechanisms to ecosystem C sink potential differ in two main types of peatlands.
How to cite: Larmola, T., Antila, J., Maanavilja, L., Juutinen, S., Bubier, J. L., Humphreys, E., Kiheri, H., Moore, T. R., Nilsson, M., and Peichl, M.: Does nitrogen deposition lead to a weaker or stronger carbon sink in nutrient-poor peatlands?, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2553, https://doi.org/10.5194/egusphere-egu2020-2553, 2020.
EGU2020-5967 | Displays | BG3.5
From sink to source: long-term (2002-2019) trends and anomalies in net ecosystem exchange of CO2 from a Scottish temperate peatland.Karen Hei-Laan Yeung, Carole Helfter, Neil Mullinger, Mhairi Coyle, and Eiko Nemitz
Peatlands North of 45˚ represent one of the largest terrestrial carbon (C) stores. They play an important role in the global C-cycle, and their ability to sequester carbon is controlled by multiple, often competing, factors including precipitation, temperature and phenology. Land-atmosphere exchange of carbon dioxide (CO2) is dynamic, and exhibits marked seasonal and inter-annual variations which can effect the overall carbon sink strength in both the short- and long-term.
Due to increased incidences of climate anomalies in recent years, long-term datasets are essential to disambiguate natural variability in Net Ecosystem Exchange (NEE) from shorter-term fluctuations. This is particularly important at high latitudes (>45˚N) where the majority of global peatlands are found. With increasing pressure from stressors such as climate and land-use change, it has been predicted that with a ca. 3oC global temperature rise by 2100, UK peatlands could become a net source of C.
NEE of CO2 has been measured using the eddy-covariance (EC) method at Auchencorth Moss (55°47’32 N, 3°14’35 W, 267 m a.s.l.), a temperate, lowland, ombrotrophic peatland in central Scotland, continuously since 2002. Alongside EC data, we present a range of meteorological parameters measured at site including soil temperature, total solar and photosynthetically active radiation (PAR), rainfall, and, since April 2007, half-hourly water table depth readings. The length of record and range of measurements make this dataset an important resource as one of the longest term records of CO2 fluxes from a temperate peatland.
Although seasonal cycles of gross primary productivity (GPP) were highly variable between years, the site was a consistent CO2 sink for the period 2002-2012. However, net annual losses of CO2 have been recorded on several occasions since 2013. Whilst NEE tends to be positively correlated with the length of growing season, anomalies in winter weather also explain some of the variability in CO2 sink strength the following summer.
Additionally, water table depth (WTD) plays a crucial role, affecting both GPP and ecosystem respiration (Reco). Relatively dry summers in recent years have contributed to shifting the balance between Reco and GPP: prolonged periods of low WTD were typically accompanied by an increase in Reco, and a decrease in GPP, hence weakening the overall CO2 sink strength. Extreme events such as drought periods and cold winter temperatures can have significant and complex effects on NEE, particularly when such meteorological anomalies co-occur. For example, a positive annual NEE occurred in 2003 when Europe experienced heatwave and summer drought. More recently, an unusually long spell of snow lasting until the end of March delayed the onset of the 2018 growing season by up to 1.5 months compared to previous years. This was followed by a prolonged dry spell in summer 2018, which weakened GPP, increased Reco and led to a net annual loss of 47.4 ton CO2-C km-2. It is clear that the role of Northern peatlands within the carbon cycle is being modified, driven by changes in climate at both local and global scales.
How to cite: Yeung, K. H.-L., Helfter, C., Mullinger, N., Coyle, M., and Nemitz, E.: From sink to source: long-term (2002-2019) trends and anomalies in net ecosystem exchange of CO2 from a Scottish temperate peatland., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5967, https://doi.org/10.5194/egusphere-egu2020-5967, 2020.
Peatlands North of 45˚ represent one of the largest terrestrial carbon (C) stores. They play an important role in the global C-cycle, and their ability to sequester carbon is controlled by multiple, often competing, factors including precipitation, temperature and phenology. Land-atmosphere exchange of carbon dioxide (CO2) is dynamic, and exhibits marked seasonal and inter-annual variations which can effect the overall carbon sink strength in both the short- and long-term.
Due to increased incidences of climate anomalies in recent years, long-term datasets are essential to disambiguate natural variability in Net Ecosystem Exchange (NEE) from shorter-term fluctuations. This is particularly important at high latitudes (>45˚N) where the majority of global peatlands are found. With increasing pressure from stressors such as climate and land-use change, it has been predicted that with a ca. 3oC global temperature rise by 2100, UK peatlands could become a net source of C.
NEE of CO2 has been measured using the eddy-covariance (EC) method at Auchencorth Moss (55°47’32 N, 3°14’35 W, 267 m a.s.l.), a temperate, lowland, ombrotrophic peatland in central Scotland, continuously since 2002. Alongside EC data, we present a range of meteorological parameters measured at site including soil temperature, total solar and photosynthetically active radiation (PAR), rainfall, and, since April 2007, half-hourly water table depth readings. The length of record and range of measurements make this dataset an important resource as one of the longest term records of CO2 fluxes from a temperate peatland.
Although seasonal cycles of gross primary productivity (GPP) were highly variable between years, the site was a consistent CO2 sink for the period 2002-2012. However, net annual losses of CO2 have been recorded on several occasions since 2013. Whilst NEE tends to be positively correlated with the length of growing season, anomalies in winter weather also explain some of the variability in CO2 sink strength the following summer.
Additionally, water table depth (WTD) plays a crucial role, affecting both GPP and ecosystem respiration (Reco). Relatively dry summers in recent years have contributed to shifting the balance between Reco and GPP: prolonged periods of low WTD were typically accompanied by an increase in Reco, and a decrease in GPP, hence weakening the overall CO2 sink strength. Extreme events such as drought periods and cold winter temperatures can have significant and complex effects on NEE, particularly when such meteorological anomalies co-occur. For example, a positive annual NEE occurred in 2003 when Europe experienced heatwave and summer drought. More recently, an unusually long spell of snow lasting until the end of March delayed the onset of the 2018 growing season by up to 1.5 months compared to previous years. This was followed by a prolonged dry spell in summer 2018, which weakened GPP, increased Reco and led to a net annual loss of 47.4 ton CO2-C km-2. It is clear that the role of Northern peatlands within the carbon cycle is being modified, driven by changes in climate at both local and global scales.
How to cite: Yeung, K. H.-L., Helfter, C., Mullinger, N., Coyle, M., and Nemitz, E.: From sink to source: long-term (2002-2019) trends and anomalies in net ecosystem exchange of CO2 from a Scottish temperate peatland., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5967, https://doi.org/10.5194/egusphere-egu2020-5967, 2020.
EGU2020-6621 | Displays | BG3.5 | Highlight
A thawing boreal peat landscape along the southern limit of permafrost presently is carbon neutralOliver Sonnentag, Julien Fouché, Manuel Helbig, Gabriel Hould Gosselin, Matteo Detto, Ryan Connon, William Quinton, and Tim Moore
Along the southern limit of permafrost in northwestern Canada rising air temperatures have caused widespread land cover changes at unprecedented rates. A prominent change includes thermokarst wetland expansion at the expense of black spruce-dominated boreal forest stands due to the permafrost thaw-induced collapse of peat plateaus. We present a multi-year (2013 – 2017) net ecosystem carbon (C) balance (NECB, g C m-2year-1) at Scotty Creek near Fort Simpson, NT. The highly fragmented study site is dominated by permafrost-free wetlands and forested permafrost peat plateaus. Eddy covariance measurements of net ecosystem carbon dioxide (CO2) and methane (CH4) exchanges (2013 – 2017) are complemented by discharge (2014 – 2016) and water chemistry monitoring (2015 and 2016) at the outlets of three small headwater catchments (<0.5 km2) draining the eddy covariance footprint area. In addition to net ecosystem CO2and CH4exchanges, the NECB includes the export of dissolved C (DC) as the sum of inorganic and organic C (DIC and DOC), free CO2and CH4through runoff, and the estimated import of DOC through precipitation. We use absorbance spectroscopy for dissolved organic matter (DOM) characterization to distinguish different DOM sources among catchments and characteristic land cover types. Between 2013 and 2017, the NECB varied between a weak net C source (~16 ±5 g C m-2year-1) and sink (~-22 ±5 g C m-2year-1) in 2015 and 2013, respectively, with a mean value of -1 ±7 g C m-2year-1. The net C sink-source strength was largely controlled by variations in net CO2exchange, ranging between a weak net CO2 sink (~-29 ±3 g C m-2year-1) and source (~8 ±4 g C m-2year-1) in 2015 and 2013, respectively. In contrast, our study site was a persistent annual net CH4source (~8 ±1 g C m-2year-1). Compensated by the import of DOC through precipitation, DC exported from the three catchments was a negligible component of the NECB. There were no significant differences in DOC concentrations and absorbance indices among catchments, and thawed and frozen land cover types, overall illustrating high DOM aromaticity (SUVA254= 3.3 ± 0.6 L mg-1m-1) and high molecular weight (a254:a365 = 4.3 ± 0.3) characteristic for peatlands and peat-dominated landscapes outside the circumpolar permafrost region. We conclude that a rapidly thawing boreal peat landscape along the southern limit of permafrost presently appears to be C neutral.
How to cite: Sonnentag, O., Fouché, J., Helbig, M., Hould Gosselin, G., Detto, M., Connon, R., Quinton, W., and Moore, T.: A thawing boreal peat landscape along the southern limit of permafrost presently is carbon neutral, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6621, https://doi.org/10.5194/egusphere-egu2020-6621, 2020.
Along the southern limit of permafrost in northwestern Canada rising air temperatures have caused widespread land cover changes at unprecedented rates. A prominent change includes thermokarst wetland expansion at the expense of black spruce-dominated boreal forest stands due to the permafrost thaw-induced collapse of peat plateaus. We present a multi-year (2013 – 2017) net ecosystem carbon (C) balance (NECB, g C m-2year-1) at Scotty Creek near Fort Simpson, NT. The highly fragmented study site is dominated by permafrost-free wetlands and forested permafrost peat plateaus. Eddy covariance measurements of net ecosystem carbon dioxide (CO2) and methane (CH4) exchanges (2013 – 2017) are complemented by discharge (2014 – 2016) and water chemistry monitoring (2015 and 2016) at the outlets of three small headwater catchments (<0.5 km2) draining the eddy covariance footprint area. In addition to net ecosystem CO2and CH4exchanges, the NECB includes the export of dissolved C (DC) as the sum of inorganic and organic C (DIC and DOC), free CO2and CH4through runoff, and the estimated import of DOC through precipitation. We use absorbance spectroscopy for dissolved organic matter (DOM) characterization to distinguish different DOM sources among catchments and characteristic land cover types. Between 2013 and 2017, the NECB varied between a weak net C source (~16 ±5 g C m-2year-1) and sink (~-22 ±5 g C m-2year-1) in 2015 and 2013, respectively, with a mean value of -1 ±7 g C m-2year-1. The net C sink-source strength was largely controlled by variations in net CO2exchange, ranging between a weak net CO2 sink (~-29 ±3 g C m-2year-1) and source (~8 ±4 g C m-2year-1) in 2015 and 2013, respectively. In contrast, our study site was a persistent annual net CH4source (~8 ±1 g C m-2year-1). Compensated by the import of DOC through precipitation, DC exported from the three catchments was a negligible component of the NECB. There were no significant differences in DOC concentrations and absorbance indices among catchments, and thawed and frozen land cover types, overall illustrating high DOM aromaticity (SUVA254= 3.3 ± 0.6 L mg-1m-1) and high molecular weight (a254:a365 = 4.3 ± 0.3) characteristic for peatlands and peat-dominated landscapes outside the circumpolar permafrost region. We conclude that a rapidly thawing boreal peat landscape along the southern limit of permafrost presently appears to be C neutral.
How to cite: Sonnentag, O., Fouché, J., Helbig, M., Hould Gosselin, G., Detto, M., Connon, R., Quinton, W., and Moore, T.: A thawing boreal peat landscape along the southern limit of permafrost presently is carbon neutral, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6621, https://doi.org/10.5194/egusphere-egu2020-6621, 2020.
EGU2020-9007 | Displays | BG3.5
Volatile Organic Compound fluxes in a subarctic peatland and lakeRoger Seco, Thomas Holst, Andreas Westergaard-Nielsen, Tao Li, Tihomir Simin, Joachim Jansen, Patrick Crill, Thomas Friborg, Jutta Holst, Janne Rinne, and Riikka Rinnan
Arctic climate is warming twice as much as the global average, due to a number of climate system feedbacks, including albedo change due to retreating snow cover and sea ice, and the forest cover expansion across the open tundra. Northern ecosystems are known to emit trace gases (e.g., methane and volatile organic compounds, VOCs) to the atmosphere, from sources as diverse as soils, vegetation and lakes. These trace gas fluxes are likely to show a trend towards greater emissions with climate warming.
Here we report ecosystem-level VOC fluxes from Stordalen Mire, a subarctic peatland complex with a high fraction of open pond and lake surfaces, underlain by discontinuous permafrost and located in the Subarctic Sweden (68º20' N, 19º03' E).
In 2018, we deployed two online mass spectrometers (PTR-TOF-MS) to measure rapid fluctuations in VOC mixing ratios and to quantify ecosystem-level fluxes with the eddy covariance technique. One of the instruments obtained a growing-season-long dataset of biogenic emissions from palsa mire vegetation dominated by mosses (e.g., Sphagnum spp.), graminoids (such as Eriophorum spp. and Carex spp.), dwarf shrubs (e.g. Empetrum spp. and Betula nana) surrounding the ICOS Sweden Abisko-Stordalen long-term measurement station. The second instrument measured VOC fluxes during two contrasting periods (the peak and the end of the growing season) from a subarctic lake and its adjacent fen, permafrost-free, minerotrophic wetland with vegetation dominated by tall graminoids, mainly Carex rostrata and Eriophorum angustifolium.
At both sites, isoprene was the dominant VOC emitted by vegetation, showing clear diurnal patterns along the season and especially during the peak of the growing season in July. At the ICOS Sweden station, isoprene fluxes exceeded 2 nmol m-2 s-1 on several days in July, with a July monthly average midday emission of 1 nmol m-2 s-1. The fen site showed average midday emissions of 2 nmol m-2 s-1 during the peak growing season. Other VOCs emitted by vegetation at both sites in July were, with decreasing magnitude, methanol, acetone, acetaldehyde and monoterpenes. In contrast, acetaldehyde and acetone were not emitted but mostly deposited to the fen at the end of the season. In contrast to the wetland, the lake was a sink for acetaldehyde and acetone during all measurement periods.
Thermal imaging and spectral analysis of vegetation will be used to assess relationships between VOC fluxes, vegetation surface temperatures and phenology under varying environmental conditions.
How to cite: Seco, R., Holst, T., Westergaard-Nielsen, A., Li, T., Simin, T., Jansen, J., Crill, P., Friborg, T., Holst, J., Rinne, J., and Rinnan, R.: Volatile Organic Compound fluxes in a subarctic peatland and lake, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9007, https://doi.org/10.5194/egusphere-egu2020-9007, 2020.
Arctic climate is warming twice as much as the global average, due to a number of climate system feedbacks, including albedo change due to retreating snow cover and sea ice, and the forest cover expansion across the open tundra. Northern ecosystems are known to emit trace gases (e.g., methane and volatile organic compounds, VOCs) to the atmosphere, from sources as diverse as soils, vegetation and lakes. These trace gas fluxes are likely to show a trend towards greater emissions with climate warming.
Here we report ecosystem-level VOC fluxes from Stordalen Mire, a subarctic peatland complex with a high fraction of open pond and lake surfaces, underlain by discontinuous permafrost and located in the Subarctic Sweden (68º20' N, 19º03' E).
In 2018, we deployed two online mass spectrometers (PTR-TOF-MS) to measure rapid fluctuations in VOC mixing ratios and to quantify ecosystem-level fluxes with the eddy covariance technique. One of the instruments obtained a growing-season-long dataset of biogenic emissions from palsa mire vegetation dominated by mosses (e.g., Sphagnum spp.), graminoids (such as Eriophorum spp. and Carex spp.), dwarf shrubs (e.g. Empetrum spp. and Betula nana) surrounding the ICOS Sweden Abisko-Stordalen long-term measurement station. The second instrument measured VOC fluxes during two contrasting periods (the peak and the end of the growing season) from a subarctic lake and its adjacent fen, permafrost-free, minerotrophic wetland with vegetation dominated by tall graminoids, mainly Carex rostrata and Eriophorum angustifolium.
At both sites, isoprene was the dominant VOC emitted by vegetation, showing clear diurnal patterns along the season and especially during the peak of the growing season in July. At the ICOS Sweden station, isoprene fluxes exceeded 2 nmol m-2 s-1 on several days in July, with a July monthly average midday emission of 1 nmol m-2 s-1. The fen site showed average midday emissions of 2 nmol m-2 s-1 during the peak growing season. Other VOCs emitted by vegetation at both sites in July were, with decreasing magnitude, methanol, acetone, acetaldehyde and monoterpenes. In contrast, acetaldehyde and acetone were not emitted but mostly deposited to the fen at the end of the season. In contrast to the wetland, the lake was a sink for acetaldehyde and acetone during all measurement periods.
Thermal imaging and spectral analysis of vegetation will be used to assess relationships between VOC fluxes, vegetation surface temperatures and phenology under varying environmental conditions.
How to cite: Seco, R., Holst, T., Westergaard-Nielsen, A., Li, T., Simin, T., Jansen, J., Crill, P., Friborg, T., Holst, J., Rinne, J., and Rinnan, R.: Volatile Organic Compound fluxes in a subarctic peatland and lake, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9007, https://doi.org/10.5194/egusphere-egu2020-9007, 2020.
EGU2020-11024 | Displays | BG3.5 | Highlight
Enriched nutrient availability strengthens the net C uptake of the northernmost ecosystem station in GreenlandEfrén López-Blanco, Marcin Jackowicz-Korczynski, Mikhail Mastepanov, Kirstine Skov, Andreas Westergaard-Nielsen, Mathew Williams, and Torben R. Christensen
Although the Arctic tundra is an essential contributor to the global carbon (C) cycle, there is a lack of reference sites from where full C exchange dynamics can be characterized under harsh conditions and remoteness. The Greenland Ecosystem Monitoring (GEM) programme efforts have envisioned integrated and long-term activities to contribute to the basic scientific understanding of the Arctic and their responses to climate changes. Here we present 20+ years across the 2008-2018 period of C flux and ancillary data from two twin ecosystem stations in Greenland: Zackenberg (74°N) and Kobbefjord (64°N). In this project we show that Zackenberg fen has a significant higher C sink strength in a higher latitude during regularly shorter growing seasons compared to Kobbefjord fen. This ecosystem acted as a sink of CO2 uptaking on average -50 g C m-2 (range of +21 to -90 g C m-2), more than twice compared to Kobbefjord (-18 g C m-2 as average and range of +41 to -41 g C m-2). We found that Zackenberg is a nutrient richer fen - the increased C uptake strength is associated with 3 times higher levels in soils of dissolved organic carbon and 5 times more plant nutrients, including dissolved organic nitrogen, nitrates. Additional evidences from in-situ sampling point to higher leaf area index (140%), foliar nitrogen (71%), and leaf mass per area (5%) in the northernmost site supporting the nutrient richer hypothesis. To test this overarching hypothesis, we further used the Soil-Plant-Atmosphere (SPA) model. We can explain ~68%, ~80% and ~67% of the variability of daily net ecosystem exchange of CO2, photosynthesis and respiration respectively applying the model parameterization previously used in Kobbefjord but with increases in initial C stocks, leaf mass per area, N content and Q10 of foliar and root respiration rates. Therefore, we conclude that the limitations of plant phenology timing in Zackenberg regarding net C uptake have not only been counterbalanced but also intensified due to richer compositions of nutrients and minerals. More high-temporal monitoring activities in Arctic ecosystems are needed not only to allow straightforward comparisons of key biogeochemical processes but also to help us understand the underlying differences in sensitive and rapidly changing ecosystems.
How to cite: López-Blanco, E., Jackowicz-Korczynski, M., Mastepanov, M., Skov, K., Westergaard-Nielsen, A., Williams, M., and R. Christensen, T.: Enriched nutrient availability strengthens the net C uptake of the northernmost ecosystem station in Greenland , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11024, https://doi.org/10.5194/egusphere-egu2020-11024, 2020.
Although the Arctic tundra is an essential contributor to the global carbon (C) cycle, there is a lack of reference sites from where full C exchange dynamics can be characterized under harsh conditions and remoteness. The Greenland Ecosystem Monitoring (GEM) programme efforts have envisioned integrated and long-term activities to contribute to the basic scientific understanding of the Arctic and their responses to climate changes. Here we present 20+ years across the 2008-2018 period of C flux and ancillary data from two twin ecosystem stations in Greenland: Zackenberg (74°N) and Kobbefjord (64°N). In this project we show that Zackenberg fen has a significant higher C sink strength in a higher latitude during regularly shorter growing seasons compared to Kobbefjord fen. This ecosystem acted as a sink of CO2 uptaking on average -50 g C m-2 (range of +21 to -90 g C m-2), more than twice compared to Kobbefjord (-18 g C m-2 as average and range of +41 to -41 g C m-2). We found that Zackenberg is a nutrient richer fen - the increased C uptake strength is associated with 3 times higher levels in soils of dissolved organic carbon and 5 times more plant nutrients, including dissolved organic nitrogen, nitrates. Additional evidences from in-situ sampling point to higher leaf area index (140%), foliar nitrogen (71%), and leaf mass per area (5%) in the northernmost site supporting the nutrient richer hypothesis. To test this overarching hypothesis, we further used the Soil-Plant-Atmosphere (SPA) model. We can explain ~68%, ~80% and ~67% of the variability of daily net ecosystem exchange of CO2, photosynthesis and respiration respectively applying the model parameterization previously used in Kobbefjord but with increases in initial C stocks, leaf mass per area, N content and Q10 of foliar and root respiration rates. Therefore, we conclude that the limitations of plant phenology timing in Zackenberg regarding net C uptake have not only been counterbalanced but also intensified due to richer compositions of nutrients and minerals. More high-temporal monitoring activities in Arctic ecosystems are needed not only to allow straightforward comparisons of key biogeochemical processes but also to help us understand the underlying differences in sensitive and rapidly changing ecosystems.
How to cite: López-Blanco, E., Jackowicz-Korczynski, M., Mastepanov, M., Skov, K., Westergaard-Nielsen, A., Williams, M., and R. Christensen, T.: Enriched nutrient availability strengthens the net C uptake of the northernmost ecosystem station in Greenland , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11024, https://doi.org/10.5194/egusphere-egu2020-11024, 2020.
EGU2020-20098 | Displays | BG3.5
Bimodal diel pattern in peatland ecosystem respiration rebuts uniform temperature responseMatthias Peichl, Järvi Järveoja, Patrick M. Crill, and Mats B. Nilsson
Accurate projections of climate change impacts on the vast carbon stores of northern peatlands require detailed knowledge of ecosystem respiration (ER) and its heterotrophic (Rh) and autotrophic (Ra) components. Currently, however, standard measurement techniques (i.e. eddy covariance and manual chambers) generate semi-continuous empirical ER data (i.e. during only night- or daytime, respectively) that are extrapolated to the daily scale based on the paradigm that assumes a uniform diel response to temperature. Here, using continuous autochamber measurements of hourly ER, Rh and Ra in a boreal peatland, we demonstrate a distinct bimodal pattern in diel ER which contrasts the unimodal pattern inherent to the classical assumption. This feature results from divergent temperature dependencies of day- and nighttime ER due to differing contributions from Rh and Ra. We show that the classical approach overestimated daily ER by up to ~2-fold and growing season ER by 16-23%. These findings call for improved process-based understanding of ER to avoid bias in simulations of peatland carbon cycle-climate feedbacks.
How to cite: Peichl, M., Järveoja, J., Crill, P. M., and Nilsson, M. B.: Bimodal diel pattern in peatland ecosystem respiration rebuts uniform temperature response, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20098, https://doi.org/10.5194/egusphere-egu2020-20098, 2020.
Accurate projections of climate change impacts on the vast carbon stores of northern peatlands require detailed knowledge of ecosystem respiration (ER) and its heterotrophic (Rh) and autotrophic (Ra) components. Currently, however, standard measurement techniques (i.e. eddy covariance and manual chambers) generate semi-continuous empirical ER data (i.e. during only night- or daytime, respectively) that are extrapolated to the daily scale based on the paradigm that assumes a uniform diel response to temperature. Here, using continuous autochamber measurements of hourly ER, Rh and Ra in a boreal peatland, we demonstrate a distinct bimodal pattern in diel ER which contrasts the unimodal pattern inherent to the classical assumption. This feature results from divergent temperature dependencies of day- and nighttime ER due to differing contributions from Rh and Ra. We show that the classical approach overestimated daily ER by up to ~2-fold and growing season ER by 16-23%. These findings call for improved process-based understanding of ER to avoid bias in simulations of peatland carbon cycle-climate feedbacks.
How to cite: Peichl, M., Järveoja, J., Crill, P. M., and Nilsson, M. B.: Bimodal diel pattern in peatland ecosystem respiration rebuts uniform temperature response, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20098, https://doi.org/10.5194/egusphere-egu2020-20098, 2020.
EGU2020-3477 | Displays | BG3.5
A tale of two peats: characterizing ecosystem-driven differences in chemical composition with depth in natural and drained Finnish mires using Py-GC/MS analytical techniquesKristy Klein, Miriam Groβ-Schmölders, Christine Alewell, and Jens Leifeld
Intact accumulating peatlands are a globally important terrestrial carbon sink. Climate change and agricultural drainage are degrading these ecosystems, and through increases in aerobic decomposition, shifting their C balance from sink to source. To argue the effectiveness of restoration activities (such as rewetting), techniques are needed that clearly show differences between drained and natural (or drained and rewetted) peatlands. Because these changes are not always macroscopically visible, molecular analysis methods are especially needed to distinguish between ecosystems experiencing net pet growth (sequestering carbon), and those where aerobic decomposition is still a primary driving mechanism. Molecular biomarkers are a useful way to use chemical composition to distinguish these mechanisms.
This study aimed to compare differences in chemical composition with depth between two peatland sites from a large ombrotrophic mire in Lakkasuo Finland – one natural and one drained. To characterize these chemical shifts, pyrolysis gas chromatography mass spectrometry was used to track changes in relative abundance of various molecular biomarkers and compound classes (ie., aromatics, Sphagnum phenols, lignin, N-containing compounds, n-alkanes, etc.) with depth across both sites. Three replicate cores per site were collected, allowing for statistical evaluation of the relative abundances of these compounds. Using radiocarbon dating at three depths per core, the drained and natural sites were also matched by age for reference purposes. Significant differences were found for the Sphagnum-specific biomarker, p-isopropenylphenol, aromatics, and lignin, to the approximate current depth of the drained peatland water table. Higher phenolic compound class abundance indicated inhibited aerobic decomposition in the natural cores. An increasing trend in lignin biomarker relative abundance with depth was observed in the natural site, despite the identification of comparatively fewer vascular plants during the macroscopic analysis. Rather than a higher abundance of palaeo-ecological vascular plants, this trend is considered to be an indicator of preferential preservation of lignin compounds with anaerobic conditions. Below the depth of the water table, the relative abundances of most biomarkers stabilized, indicating the existance of similar environmental conditions in both sites prior to drainage. These data were compared and are in agreement with findings from elemental analysis (CHNO) and bulk isotopic (13C and 15N) data measured on the same cores. Collectively, these data suggest that observed shifts in chemical composition in the natural and drained cores reflect the effect of different hydrological conditions between the two sites.
How to cite: Klein, K., Groβ-Schmölders, M., Alewell, C., and Leifeld, J.: A tale of two peats: characterizing ecosystem-driven differences in chemical composition with depth in natural and drained Finnish mires using Py-GC/MS analytical techniques, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3477, https://doi.org/10.5194/egusphere-egu2020-3477, 2020.
Intact accumulating peatlands are a globally important terrestrial carbon sink. Climate change and agricultural drainage are degrading these ecosystems, and through increases in aerobic decomposition, shifting their C balance from sink to source. To argue the effectiveness of restoration activities (such as rewetting), techniques are needed that clearly show differences between drained and natural (or drained and rewetted) peatlands. Because these changes are not always macroscopically visible, molecular analysis methods are especially needed to distinguish between ecosystems experiencing net pet growth (sequestering carbon), and those where aerobic decomposition is still a primary driving mechanism. Molecular biomarkers are a useful way to use chemical composition to distinguish these mechanisms.
This study aimed to compare differences in chemical composition with depth between two peatland sites from a large ombrotrophic mire in Lakkasuo Finland – one natural and one drained. To characterize these chemical shifts, pyrolysis gas chromatography mass spectrometry was used to track changes in relative abundance of various molecular biomarkers and compound classes (ie., aromatics, Sphagnum phenols, lignin, N-containing compounds, n-alkanes, etc.) with depth across both sites. Three replicate cores per site were collected, allowing for statistical evaluation of the relative abundances of these compounds. Using radiocarbon dating at three depths per core, the drained and natural sites were also matched by age for reference purposes. Significant differences were found for the Sphagnum-specific biomarker, p-isopropenylphenol, aromatics, and lignin, to the approximate current depth of the drained peatland water table. Higher phenolic compound class abundance indicated inhibited aerobic decomposition in the natural cores. An increasing trend in lignin biomarker relative abundance with depth was observed in the natural site, despite the identification of comparatively fewer vascular plants during the macroscopic analysis. Rather than a higher abundance of palaeo-ecological vascular plants, this trend is considered to be an indicator of preferential preservation of lignin compounds with anaerobic conditions. Below the depth of the water table, the relative abundances of most biomarkers stabilized, indicating the existance of similar environmental conditions in both sites prior to drainage. These data were compared and are in agreement with findings from elemental analysis (CHNO) and bulk isotopic (13C and 15N) data measured on the same cores. Collectively, these data suggest that observed shifts in chemical composition in the natural and drained cores reflect the effect of different hydrological conditions between the two sites.
How to cite: Klein, K., Groβ-Schmölders, M., Alewell, C., and Leifeld, J.: A tale of two peats: characterizing ecosystem-driven differences in chemical composition with depth in natural and drained Finnish mires using Py-GC/MS analytical techniques, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3477, https://doi.org/10.5194/egusphere-egu2020-3477, 2020.
EGU2020-7402 | Displays | BG3.5
Differences in peat formation between an Atlantic blanket bog and a subcontinental raised bogStephan Glatzel, Fred Worrall, Ian Boothroyd, Simon Drollinger, Catherine Moody, and Gareth Clay
Worrall et al. (2016, 2017, 2018) have determined the processes of organic matter transfer, transition and peat formation through and into a blanket bog at Moor House, UK (N54:41:18, W2:22:45 – altitude 580 m asl; MAT 5.8 deg C; rainfall 2012 mm/yr). These examinations indicated a transition from plant material to superficial and deeper peat that became thermodynamically limited around 40 cm depth with a continuous increase in the degree of unsaturation of the organic matter. However, it is not clear whether the same processes observed at Moor House are ultimately a universal pattern of peat formation and organic matter transitions or are site–specific. Therefore, to test theories developed at Moor House, peat formation and organic matter transitions were examined at a continental raised bog (Pürgschachen Moor, Austria, N47:34:53, E14:20:48 – altitude 632 m asl; MAT 7.3 deg C; rainfall 1248 mm/yr).
To test our developed theories the following were sampled: vegetation (Sphagnum, cotton grass and pine); dissolved organic carbon (DOC); and peat samples between 0 and 100 cm depth. Samples were dried, ground, and analysed by elemental analysis (for CHN and O), bomb calorimetry, and thermogravimetric analysis.
Results show that the pattern of a continuously rising degree of unsaturation from superficial to deeper peat does not prevail at the raised bog. At Pürgschachen Moor, the degree of unsaturation does not change between vegetation and superficial and deeper peat and there is little difference between the composition of vegetation and peat. At Moor House there appears to be an evolution from a cellulosic/Protein composition towards a lignin/protein composition, while at Pürgschachen, vegetation and peat appears to be composed more strongly of pure cellulose. Furthermore, thermodynamic limitation at the raised bog occurs in the top 10 cm of the peat profile. However, DOC at both sites show signs of strong alteration compared to peat samples. DOC export is an important pathway at Moor House (blanket bog) but not at Pürgschachen Moor (raised bog). Therefore, we deduce that the immobile DOC and the lack of pore water movement lead to a closed system and a rapid preservation of the peat in the raised bog. In contrast, mobile DOC and the fluvial export promotes a relatively open pore water system that drives further chemical reaction in the organic matter.
Our research indicates that, depending on relief and rainfall, there are distinctly different pathways of peat formation in blanket bogs compared to raised bogs. Furthermore, this provides direct chemical evidence of why high and static water tables preserve organic matter in raised bogs leading to higher relative carbon sequestration rates.
References:
Worrall, F., Clay, G.D., Moody, C.S., Burt, T.P., and R.Rose. (2016). The effective oxidation state of a peatland. JGR-Biogeosciences, 121, 145-158.
Worrall, F., Moody, C.S., Clay, G.D., Burt, T.P., and R.Rose. (2017). The flux of organic matter through a peatland ecosystem – the role of cellulose, lignin and their control of the oxidation state. JGR-Biogeosciences 122, 7, 1655-1671.
Worrall, F., Moody, C.S., Clay, G.D., Burt, T.P., and R.Rose. (2018). Thermodynamic control of the carbon budget of a peatland. JGR-Biogeosciences 123, 6, 1863-1878.
How to cite: Glatzel, S., Worrall, F., Boothroyd, I., Drollinger, S., Moody, C., and Clay, G.: Differences in peat formation between an Atlantic blanket bog and a subcontinental raised bog, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7402, https://doi.org/10.5194/egusphere-egu2020-7402, 2020.
Worrall et al. (2016, 2017, 2018) have determined the processes of organic matter transfer, transition and peat formation through and into a blanket bog at Moor House, UK (N54:41:18, W2:22:45 – altitude 580 m asl; MAT 5.8 deg C; rainfall 2012 mm/yr). These examinations indicated a transition from plant material to superficial and deeper peat that became thermodynamically limited around 40 cm depth with a continuous increase in the degree of unsaturation of the organic matter. However, it is not clear whether the same processes observed at Moor House are ultimately a universal pattern of peat formation and organic matter transitions or are site–specific. Therefore, to test theories developed at Moor House, peat formation and organic matter transitions were examined at a continental raised bog (Pürgschachen Moor, Austria, N47:34:53, E14:20:48 – altitude 632 m asl; MAT 7.3 deg C; rainfall 1248 mm/yr).
To test our developed theories the following were sampled: vegetation (Sphagnum, cotton grass and pine); dissolved organic carbon (DOC); and peat samples between 0 and 100 cm depth. Samples were dried, ground, and analysed by elemental analysis (for CHN and O), bomb calorimetry, and thermogravimetric analysis.
Results show that the pattern of a continuously rising degree of unsaturation from superficial to deeper peat does not prevail at the raised bog. At Pürgschachen Moor, the degree of unsaturation does not change between vegetation and superficial and deeper peat and there is little difference between the composition of vegetation and peat. At Moor House there appears to be an evolution from a cellulosic/Protein composition towards a lignin/protein composition, while at Pürgschachen, vegetation and peat appears to be composed more strongly of pure cellulose. Furthermore, thermodynamic limitation at the raised bog occurs in the top 10 cm of the peat profile. However, DOC at both sites show signs of strong alteration compared to peat samples. DOC export is an important pathway at Moor House (blanket bog) but not at Pürgschachen Moor (raised bog). Therefore, we deduce that the immobile DOC and the lack of pore water movement lead to a closed system and a rapid preservation of the peat in the raised bog. In contrast, mobile DOC and the fluvial export promotes a relatively open pore water system that drives further chemical reaction in the organic matter.
Our research indicates that, depending on relief and rainfall, there are distinctly different pathways of peat formation in blanket bogs compared to raised bogs. Furthermore, this provides direct chemical evidence of why high and static water tables preserve organic matter in raised bogs leading to higher relative carbon sequestration rates.
References:
Worrall, F., Clay, G.D., Moody, C.S., Burt, T.P., and R.Rose. (2016). The effective oxidation state of a peatland. JGR-Biogeosciences, 121, 145-158.
Worrall, F., Moody, C.S., Clay, G.D., Burt, T.P., and R.Rose. (2017). The flux of organic matter through a peatland ecosystem – the role of cellulose, lignin and their control of the oxidation state. JGR-Biogeosciences 122, 7, 1655-1671.
Worrall, F., Moody, C.S., Clay, G.D., Burt, T.P., and R.Rose. (2018). Thermodynamic control of the carbon budget of a peatland. JGR-Biogeosciences 123, 6, 1863-1878.
How to cite: Glatzel, S., Worrall, F., Boothroyd, I., Drollinger, S., Moody, C., and Clay, G.: Differences in peat formation between an Atlantic blanket bog and a subcontinental raised bog, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7402, https://doi.org/10.5194/egusphere-egu2020-7402, 2020.
EGU2020-19972 | Displays | BG3.5
10 yrs of Improved Groundwater Table Estimates in Northern Peatlands Through Assimilation of Passive Microwave Observations into PEATCLSMMichel Bechtold, Gabrielle De Lannoy, Rolf H Reichle, Dirk Roose, Nicole Balliston, Iuliia Burdun, Kevin Devito, Juliya Kurbatova, Maria Strack, and Evgeny A Zarov
Groundwater table depth and peat moisture, exert a first order control on a range of biogeochemical and -physical peatland processes, and the susceptibility to peat fires. Therefore, one of the first critical measures to identify “peatlands under pressure” is the change of hydrological conditions, e.g. due to changing climatic conditions or direct “hydraulic” human influence. In this presentation, we introduce a new opportunity for the global-scale monitoring of moisture conditions in peatlands. We assimilate L-band brightness temperature (Tb) data from the Soil Moisture Ocean Salinity (SMOS) into the Catchment land surface model (CLSM) to improve the simulation of Northern peatland hydrology from 2010 through 2019. We compare four simulation experiments: two open loop and two data assimilation simulations, either using the default CLSM or a recently-developed peatland-specific adaptation of it (PEATCLSM, Bechtold et al. 2019). The assimilation system uses a spatially distributed ensemble Kalman filter to update soil moisture and groundwater table depth. The simulation experiments are evaluated against an in-situ dataset of groundwater table depth in about 20 natural and semi-natural peatlands that are large enough to be dominant in the corresponding 81-km2 model grid cells. For PEATCLSM, Tb data assimilation increases the temporal Pearson correlation (R) and anomaly correlation (aR) between simulated and measured groundwater table from 0.53 and 0.38 (open-loop) to 0.58 and 0.45 (analysis), respectively. Time series comparison at monitoring sites demonstrates how the assimilation effectively corrects for remaining deficiencies in model physics and/or errors of the global meteorological data forcing the model. The generally lower coefficients of 0.30 (R) and 0.09 (aR) for the default CLSM also improve after Tb data assimilation to values of 0.39 (R) and 0.28 (aR). However, even with Tb data assimilation, the skill of CLSM remains inferior to that of PEATCLSM. The more realistic model physics of PEATCLSM are also supported by a reduction of the Tb misfits (observed Tb – forecasted Tb) over 94 % of the Northern peatland area. The temporal variance of Tb misfits is reduced by 20 % on average and is largest over the large peatland areas of the Western Siberian (25 %) and Hudson Bay Lowlands (40 %). This study demonstrates, for the first time, an improved estimation of the peatland hydrological dynamics by the assimilation of SMOS L-band brightness data into a global land surface model and suggests a new route of research focusing on the incorporation of additional satellite observations into peatland-specific modeling schemes.
Bechtold, M., De Lannoy, G.J M., Koster, R.D., Reichle, R.H., et al. (2019). PEAT-CLSM: A Specific Treatment of Peatland Hydrology in the NASA Catchment Land Surface Model. JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, 11 (7), 2130-2162. doi: 10.1029/2018MS001574.
How to cite: Bechtold, M., De Lannoy, G., Reichle, R. H., Roose, D., Balliston, N., Burdun, I., Devito, K., Kurbatova, J., Strack, M., and Zarov, E. A.: 10 yrs of Improved Groundwater Table Estimates in Northern Peatlands Through Assimilation of Passive Microwave Observations into PEATCLSM, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19972, https://doi.org/10.5194/egusphere-egu2020-19972, 2020.
Groundwater table depth and peat moisture, exert a first order control on a range of biogeochemical and -physical peatland processes, and the susceptibility to peat fires. Therefore, one of the first critical measures to identify “peatlands under pressure” is the change of hydrological conditions, e.g. due to changing climatic conditions or direct “hydraulic” human influence. In this presentation, we introduce a new opportunity for the global-scale monitoring of moisture conditions in peatlands. We assimilate L-band brightness temperature (Tb) data from the Soil Moisture Ocean Salinity (SMOS) into the Catchment land surface model (CLSM) to improve the simulation of Northern peatland hydrology from 2010 through 2019. We compare four simulation experiments: two open loop and two data assimilation simulations, either using the default CLSM or a recently-developed peatland-specific adaptation of it (PEATCLSM, Bechtold et al. 2019). The assimilation system uses a spatially distributed ensemble Kalman filter to update soil moisture and groundwater table depth. The simulation experiments are evaluated against an in-situ dataset of groundwater table depth in about 20 natural and semi-natural peatlands that are large enough to be dominant in the corresponding 81-km2 model grid cells. For PEATCLSM, Tb data assimilation increases the temporal Pearson correlation (R) and anomaly correlation (aR) between simulated and measured groundwater table from 0.53 and 0.38 (open-loop) to 0.58 and 0.45 (analysis), respectively. Time series comparison at monitoring sites demonstrates how the assimilation effectively corrects for remaining deficiencies in model physics and/or errors of the global meteorological data forcing the model. The generally lower coefficients of 0.30 (R) and 0.09 (aR) for the default CLSM also improve after Tb data assimilation to values of 0.39 (R) and 0.28 (aR). However, even with Tb data assimilation, the skill of CLSM remains inferior to that of PEATCLSM. The more realistic model physics of PEATCLSM are also supported by a reduction of the Tb misfits (observed Tb – forecasted Tb) over 94 % of the Northern peatland area. The temporal variance of Tb misfits is reduced by 20 % on average and is largest over the large peatland areas of the Western Siberian (25 %) and Hudson Bay Lowlands (40 %). This study demonstrates, for the first time, an improved estimation of the peatland hydrological dynamics by the assimilation of SMOS L-band brightness data into a global land surface model and suggests a new route of research focusing on the incorporation of additional satellite observations into peatland-specific modeling schemes.
Bechtold, M., De Lannoy, G.J M., Koster, R.D., Reichle, R.H., et al. (2019). PEAT-CLSM: A Specific Treatment of Peatland Hydrology in the NASA Catchment Land Surface Model. JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, 11 (7), 2130-2162. doi: 10.1029/2018MS001574.
How to cite: Bechtold, M., De Lannoy, G., Reichle, R. H., Roose, D., Balliston, N., Burdun, I., Devito, K., Kurbatova, J., Strack, M., and Zarov, E. A.: 10 yrs of Improved Groundwater Table Estimates in Northern Peatlands Through Assimilation of Passive Microwave Observations into PEATCLSM, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19972, https://doi.org/10.5194/egusphere-egu2020-19972, 2020.
EGU2020-5072 | Displays | BG3.5 | Highlight
Unveiling tipping points in long-term and experimental studies in peatlandsMariusz Lamentowicz, Katarzyna Marcisz, Michał Słowiński, and Vincent E.J. Jassey
Ecosystems are increasingly prone to climate extremes, such as drought, with long-lasting effects on both plant and soil communities and, subsequently, on carbon (C) cycling. Unveiling past tipping points is a prerequisite for a better understanding of how individual species and entire ecosystems will respond to future climate changes, especially soil moisture. In the first study we identified the response of peatland vegetation to shifts in hydrological conditions over the past 2000 years using plant macrofossils, testate amoebae-based quantitative hydrological reconstructions from seven Polish peat-records (Lamentowicz et al., 2019). Using threshold indicator taxa analysis (TITAN), we discovered that plant community composition strongly converged at a water level of c. 11.7 cm, indicating a community-level tipping-point. We identified 45 plant taxa that showed either an increase or a decrease in their relative abundance between 8 and 17 cm of water level depth. In other the experimental study (Jassey et al., 2018) we investigated the response of plant and soil fungi to drought of different intensities using a water table gradient in peatlands—a major C sink ecosystem. We show that substantial changes in ecosystem respiration, plant and soil fungal communities occurred when the water level fell below a tipping point of 24 cm. As a corollary, ecosystem respiration was the greatest when graminoids and saprotrophic fungi became prevalent as a response to the extreme drought. Graminoids indirectly influenced fungal functional composition and soil enzyme activities through their direct effect on dissolved organic matter quality, while saprotrophic fungi directly influenced soil enzyme activities. In turn, increasing enzyme activities promoted ecosystem respiration. We show that functional transitions in ecosystem respiration critically depend on the degree of response of graminoids and saprotrophic fungi to drought. Our results represent a major advance in understanding the nonlinear nature of ecosystem properties to drought and pave the way towards a truly mechanistic understanding of tipping points in peatlands with use of experiment and palaeoecology.
References
Jassey, V.E.J., Reczuga, M.K., Zielinska, M., Slowinska, S., Robroek, B.J.M., Mariotte, P., Seppey, C.V.W., Lara, E., Barabach, J., Slowinski, M., Bragazza, L., Chojnicki, B.H., Lamentowicz, M., Mitchell, E.A.D., Buttler, A., 2018. Tipping point in plant-fungal interactions under severe drought causes abrupt rise in peatland ecosystem respiration. Glob Chang Biol. 24, (3) 972–986.
Lamentowicz, M., Gałka, M., Marcisz, K., Słowiński, M., Kajukało-Drygalska, K., Dayras, M.D., Jassey, V.E.J., 2019. Unveiling tipping points in long-term ecological records from Sphagnum -dominated peatlands. Biology Letters. 15, (4) 20190043.
How to cite: Lamentowicz, M., Marcisz, K., Słowiński, M., and Jassey, V. E. J.: Unveiling tipping points in long-term and experimental studies in peatlands, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5072, https://doi.org/10.5194/egusphere-egu2020-5072, 2020.
Ecosystems are increasingly prone to climate extremes, such as drought, with long-lasting effects on both plant and soil communities and, subsequently, on carbon (C) cycling. Unveiling past tipping points is a prerequisite for a better understanding of how individual species and entire ecosystems will respond to future climate changes, especially soil moisture. In the first study we identified the response of peatland vegetation to shifts in hydrological conditions over the past 2000 years using plant macrofossils, testate amoebae-based quantitative hydrological reconstructions from seven Polish peat-records (Lamentowicz et al., 2019). Using threshold indicator taxa analysis (TITAN), we discovered that plant community composition strongly converged at a water level of c. 11.7 cm, indicating a community-level tipping-point. We identified 45 plant taxa that showed either an increase or a decrease in their relative abundance between 8 and 17 cm of water level depth. In other the experimental study (Jassey et al., 2018) we investigated the response of plant and soil fungi to drought of different intensities using a water table gradient in peatlands—a major C sink ecosystem. We show that substantial changes in ecosystem respiration, plant and soil fungal communities occurred when the water level fell below a tipping point of 24 cm. As a corollary, ecosystem respiration was the greatest when graminoids and saprotrophic fungi became prevalent as a response to the extreme drought. Graminoids indirectly influenced fungal functional composition and soil enzyme activities through their direct effect on dissolved organic matter quality, while saprotrophic fungi directly influenced soil enzyme activities. In turn, increasing enzyme activities promoted ecosystem respiration. We show that functional transitions in ecosystem respiration critically depend on the degree of response of graminoids and saprotrophic fungi to drought. Our results represent a major advance in understanding the nonlinear nature of ecosystem properties to drought and pave the way towards a truly mechanistic understanding of tipping points in peatlands with use of experiment and palaeoecology.
References
Jassey, V.E.J., Reczuga, M.K., Zielinska, M., Slowinska, S., Robroek, B.J.M., Mariotte, P., Seppey, C.V.W., Lara, E., Barabach, J., Slowinski, M., Bragazza, L., Chojnicki, B.H., Lamentowicz, M., Mitchell, E.A.D., Buttler, A., 2018. Tipping point in plant-fungal interactions under severe drought causes abrupt rise in peatland ecosystem respiration. Glob Chang Biol. 24, (3) 972–986.
Lamentowicz, M., Gałka, M., Marcisz, K., Słowiński, M., Kajukało-Drygalska, K., Dayras, M.D., Jassey, V.E.J., 2019. Unveiling tipping points in long-term ecological records from Sphagnum -dominated peatlands. Biology Letters. 15, (4) 20190043.
How to cite: Lamentowicz, M., Marcisz, K., Słowiński, M., and Jassey, V. E. J.: Unveiling tipping points in long-term and experimental studies in peatlands, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5072, https://doi.org/10.5194/egusphere-egu2020-5072, 2020.
EGU2020-13830 | Displays | BG3.5
Can we expect pristine mountain peatland ecosystems in Central Europe? Evidence from multi-proxy palaeoecological studies on the Holocene peatland developmentMariusz Gałka, Klaus-Holger Knorr, Andrei-Cosmin Diaconu, Angelica Feurdean, Adam Hölzer, Julie Loisel, Swindles Graeme T., and Ioan Tantau
The Holocene climate shifts had a significant impact on the development of ombrotrophic peatland ecosystems located in various biogeographic zones. Disturbances of the plant communities at peatlands ecosystems took place also due to intensified human activities in the past several centuries, that include peat excavation, fires, as well as deposition of dust and pollutants on peatland surfaces. This merger of natural and human impacts has led to direct hydrological and biochemical disturbances that triggered changes in plant populations, e.g. often leading to the decline of some species, such as Sphagnum austinii in Great Britain.
The knowledge about the development of peatlands across mountain ranges in Europe is still poor. Determining the resilience of peatland vegetation to disturbance is an important and significant task to aid further protection and management of the entire range of ombrotrophic peatlands found in the European mountains, from destroyed or restored to pristine. We carried out high-resolution, multi-proxy studies including plant macrofossils, pollen, testate amoebae, geochemical analyses (XRF and stable carbon isotopes), micro- and macro-charcoal, supported by radiocarbon dating, on replicate peat cores from five well-preserved ombrotrophic peatlands across Europe where peat-forming process is active. The studied peatlands are located along an east west gradient in the Central and Western Europe: Eastern Carpathian Mts. (Calimani-Gurghiu-Harghita, Romania; Bieszczady, Poland), Harz Mts. and Schwarzwald Mts. (Germany), and Vosges Mts (France). In our palaeocological studies we aimed to: i) reconstruct long-term local (mainly Sphagnum populations) and regional (forest communities) vegetation changes at and around selected bogs; ii) reconstruct long-term palaeohydrological shifts; iii) assess mountain peatland ecosystems resilience to Holocene climate shifts and disturbance by fire events and human impact (deforestation, dust and pollution).
Based on our results, we found that: i) despite human activites (pollutants and dust deposition, drainage) some of the mountain peatlands remained in a pristine state, however some plant communities had changed; ii) plant communities composed mainly by Sphagnum species, could repeatedly self-regenerate via autogenic processes following a decline in stressors; iii) recent climate warming has stimulated the spreading of some species indicative of more dry habitats; vi) lack of macrocharcoal in the peat layers indicate that fires did not play a significant role in the development or evolution of local peatland communities. Results from our studies show that palaeoecological records play an important role for the determination of present peatland ecosystem stage and reference conditions for the restoration of damaged ombrotrophic peatlands in European mountains.
The research has received support National Science Centre (Poland) grant No UMO-2016/23/B/ST10/00762 (PI: Mariusz Gałka).
How to cite: Gałka, M., Knorr, K.-H., Diaconu, A.-C., Feurdean, A., Hölzer, A., Loisel, J., Graeme T., S., and Tantau, I.: Can we expect pristine mountain peatland ecosystems in Central Europe? Evidence from multi-proxy palaeoecological studies on the Holocene peatland development, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13830, https://doi.org/10.5194/egusphere-egu2020-13830, 2020.
The Holocene climate shifts had a significant impact on the development of ombrotrophic peatland ecosystems located in various biogeographic zones. Disturbances of the plant communities at peatlands ecosystems took place also due to intensified human activities in the past several centuries, that include peat excavation, fires, as well as deposition of dust and pollutants on peatland surfaces. This merger of natural and human impacts has led to direct hydrological and biochemical disturbances that triggered changes in plant populations, e.g. often leading to the decline of some species, such as Sphagnum austinii in Great Britain.
The knowledge about the development of peatlands across mountain ranges in Europe is still poor. Determining the resilience of peatland vegetation to disturbance is an important and significant task to aid further protection and management of the entire range of ombrotrophic peatlands found in the European mountains, from destroyed or restored to pristine. We carried out high-resolution, multi-proxy studies including plant macrofossils, pollen, testate amoebae, geochemical analyses (XRF and stable carbon isotopes), micro- and macro-charcoal, supported by radiocarbon dating, on replicate peat cores from five well-preserved ombrotrophic peatlands across Europe where peat-forming process is active. The studied peatlands are located along an east west gradient in the Central and Western Europe: Eastern Carpathian Mts. (Calimani-Gurghiu-Harghita, Romania; Bieszczady, Poland), Harz Mts. and Schwarzwald Mts. (Germany), and Vosges Mts (France). In our palaeocological studies we aimed to: i) reconstruct long-term local (mainly Sphagnum populations) and regional (forest communities) vegetation changes at and around selected bogs; ii) reconstruct long-term palaeohydrological shifts; iii) assess mountain peatland ecosystems resilience to Holocene climate shifts and disturbance by fire events and human impact (deforestation, dust and pollution).
Based on our results, we found that: i) despite human activites (pollutants and dust deposition, drainage) some of the mountain peatlands remained in a pristine state, however some plant communities had changed; ii) plant communities composed mainly by Sphagnum species, could repeatedly self-regenerate via autogenic processes following a decline in stressors; iii) recent climate warming has stimulated the spreading of some species indicative of more dry habitats; vi) lack of macrocharcoal in the peat layers indicate that fires did not play a significant role in the development or evolution of local peatland communities. Results from our studies show that palaeoecological records play an important role for the determination of present peatland ecosystem stage and reference conditions for the restoration of damaged ombrotrophic peatlands in European mountains.
The research has received support National Science Centre (Poland) grant No UMO-2016/23/B/ST10/00762 (PI: Mariusz Gałka).
How to cite: Gałka, M., Knorr, K.-H., Diaconu, A.-C., Feurdean, A., Hölzer, A., Loisel, J., Graeme T., S., and Tantau, I.: Can we expect pristine mountain peatland ecosystems in Central Europe? Evidence from multi-proxy palaeoecological studies on the Holocene peatland development, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13830, https://doi.org/10.5194/egusphere-egu2020-13830, 2020.
EGU2020-17715 | Displays | BG3.5
Application of hyperspectral imaging of peat profiles to the case of fen-bog transition in aapa miresLars Granlund, Teemu Tahvanainen, and Markku Keinänen
Hyperspectral imaging (HSI) is a promising precision tool for analysing chronological peat strata from vegetation transitions in peatlands. We explored the potential of HSI in identifying transitions in peat-forming vegetation and degree of peat humification. The changes in aapa mire complexes during recent decades have been assessed by various remote sensing methods (aerial image time series, satellite data and high-resolution UAV multispectral imaging) and HSI methods have been developed to support the data from other sources. Rapid growth of Sphagnum mosses over string-patterned aapa mires in the north-boreal zone has immense significance, since it can alter ecosystem structure and functions such as carbon sequestration. HSI is well suited for analysis of recent ecosystem changes, since it can be applied for large sample sets with extremely fine spatial detail. Additionally, peat layers have complex 3D structures that can be overlooked by other sampling methods.
The HSI data was collected in laboratory conditions with two spectral imaging cameras, covering the visible to near-infrared range (VNIR 400-1000 nm), short-wave infrared range (SWIR, 1000-2500 nm). We used various methods such as PCA, k-means clustering and support vector machines for both quantitative and qualitative analysis of peat. Our analyses revealed detailed spectral changes that matched with transitions in peat quality and composition. Methodological issues unique to peat samples, such as the effect of oxidation and water content, were assessed for method development. We also used HSI to estimate quality changes that would easily be overlooked or only found by most laborious conventional techniques, like high-frequency microscopic counting of plant remains. Here, the spectral results can be used to guide sampling for microscopic routines, for example.
Results with Carex and Sphagnum peat proved that efficient image-based classification methods for identifying peat transitions can be developed. Our SVM models in the VNIR and SWIR regions were able to distinguish Sphagnum and Carex peat with overall accuracy of validation 80 % and 81 %, respectively. We also developed simple NDI indices for the estimation of von Post humification index that worked with accuracy of 86 % and 59 % for VNIR and SWIR, respectively. In combination with data collected from other sources (remote sensing, ground-truthing, conventional laboratory analysis), peat spectral analyses give strong inference of changes. In our study system, results indicate high sensitivity of northern aapa mires to ecosystem-scale changes.
How to cite: Granlund, L., Tahvanainen, T., and Keinänen, M.: Application of hyperspectral imaging of peat profiles to the case of fen-bog transition in aapa mires, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-17715, https://doi.org/10.5194/egusphere-egu2020-17715, 2020.
Hyperspectral imaging (HSI) is a promising precision tool for analysing chronological peat strata from vegetation transitions in peatlands. We explored the potential of HSI in identifying transitions in peat-forming vegetation and degree of peat humification. The changes in aapa mire complexes during recent decades have been assessed by various remote sensing methods (aerial image time series, satellite data and high-resolution UAV multispectral imaging) and HSI methods have been developed to support the data from other sources. Rapid growth of Sphagnum mosses over string-patterned aapa mires in the north-boreal zone has immense significance, since it can alter ecosystem structure and functions such as carbon sequestration. HSI is well suited for analysis of recent ecosystem changes, since it can be applied for large sample sets with extremely fine spatial detail. Additionally, peat layers have complex 3D structures that can be overlooked by other sampling methods.
The HSI data was collected in laboratory conditions with two spectral imaging cameras, covering the visible to near-infrared range (VNIR 400-1000 nm), short-wave infrared range (SWIR, 1000-2500 nm). We used various methods such as PCA, k-means clustering and support vector machines for both quantitative and qualitative analysis of peat. Our analyses revealed detailed spectral changes that matched with transitions in peat quality and composition. Methodological issues unique to peat samples, such as the effect of oxidation and water content, were assessed for method development. We also used HSI to estimate quality changes that would easily be overlooked or only found by most laborious conventional techniques, like high-frequency microscopic counting of plant remains. Here, the spectral results can be used to guide sampling for microscopic routines, for example.
Results with Carex and Sphagnum peat proved that efficient image-based classification methods for identifying peat transitions can be developed. Our SVM models in the VNIR and SWIR regions were able to distinguish Sphagnum and Carex peat with overall accuracy of validation 80 % and 81 %, respectively. We also developed simple NDI indices for the estimation of von Post humification index that worked with accuracy of 86 % and 59 % for VNIR and SWIR, respectively. In combination with data collected from other sources (remote sensing, ground-truthing, conventional laboratory analysis), peat spectral analyses give strong inference of changes. In our study system, results indicate high sensitivity of northern aapa mires to ecosystem-scale changes.
How to cite: Granlund, L., Tahvanainen, T., and Keinänen, M.: Application of hyperspectral imaging of peat profiles to the case of fen-bog transition in aapa mires, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-17715, https://doi.org/10.5194/egusphere-egu2020-17715, 2020.
EGU2020-18316 | Displays | BG3.5 | Highlight
Impact of long-term experimental water level drawdown on vegetation and carbon gas dynamics of boreal mire ecosystemsEeva-Stiina Tuittila, Aino Korrensalo, Anna Laine, Nicola Kokkonen, Lauri Mehtätalo, and Jukka Laine
Recent paleoecological studies have demonstrated an ongoing drying trend in temperate and boreal peatlands in Europe and in Canada. This drying is likely to alter vegetation and carbon gas exchange with atmosphere. However, to revel the expected change in carbon gas dynamics associated with decrease in water level experimental studies and long-term monitoring are needed. In here we present results from long term experiment in Finland where the impact of water level drawdown (WLD) of ~10 cm on three different peatland sites, two fens and a bog, has been studied since year 2000.
Response to WLD differed between the three ecosystem types. In the nutrient rich fen WLD initiated rapid directional succession from sedge dominated system to the dominance of woody species. In the poor fen changes were less drastic: Initially WLD benefitted dwarf scrubs already present at the site, later they were overtaken by pines. Sedges as a group hold their position but Carex species were replaced by Eriophorum. Similarly to sedges, in the moss layer proportions of different Sphagnum moss species changed. Bog vegetation was more stable than fen vegetation.
In all the ecosystems methane emissions decreased directly after WLD. In contrast, the response of CO2 dynamics was more complex. While long term net ecosystem exchange decreased to lower level than in controls in all studied ecosystems, the response of photosynthesis and respiration differed between the three ecosystems and between short term and long term. Results show how the response of peatlands to climate change is diverse and emphasize the need to understand what factors regulate the stability and resilience of peatland functioning.
How to cite: Tuittila, E.-S., Korrensalo, A., Laine, A., Kokkonen, N., Mehtätalo, L., and Laine, J.: Impact of long-term experimental water level drawdown on vegetation and carbon gas dynamics of boreal mire ecosystems, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18316, https://doi.org/10.5194/egusphere-egu2020-18316, 2020.
Recent paleoecological studies have demonstrated an ongoing drying trend in temperate and boreal peatlands in Europe and in Canada. This drying is likely to alter vegetation and carbon gas exchange with atmosphere. However, to revel the expected change in carbon gas dynamics associated with decrease in water level experimental studies and long-term monitoring are needed. In here we present results from long term experiment in Finland where the impact of water level drawdown (WLD) of ~10 cm on three different peatland sites, two fens and a bog, has been studied since year 2000.
Response to WLD differed between the three ecosystem types. In the nutrient rich fen WLD initiated rapid directional succession from sedge dominated system to the dominance of woody species. In the poor fen changes were less drastic: Initially WLD benefitted dwarf scrubs already present at the site, later they were overtaken by pines. Sedges as a group hold their position but Carex species were replaced by Eriophorum. Similarly to sedges, in the moss layer proportions of different Sphagnum moss species changed. Bog vegetation was more stable than fen vegetation.
In all the ecosystems methane emissions decreased directly after WLD. In contrast, the response of CO2 dynamics was more complex. While long term net ecosystem exchange decreased to lower level than in controls in all studied ecosystems, the response of photosynthesis and respiration differed between the three ecosystems and between short term and long term. Results show how the response of peatlands to climate change is diverse and emphasize the need to understand what factors regulate the stability and resilience of peatland functioning.
How to cite: Tuittila, E.-S., Korrensalo, A., Laine, A., Kokkonen, N., Mehtätalo, L., and Laine, J.: Impact of long-term experimental water level drawdown on vegetation and carbon gas dynamics of boreal mire ecosystems, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18316, https://doi.org/10.5194/egusphere-egu2020-18316, 2020.
EGU2020-1161 | Displays | BG3.5
Sensitivity of peatland respiration to vegetation community and temperature metric during a hot droughtJulia Kelly, Natascha Kljun, Lars Eklundh, Leif Klemedtsson, Bengt Liljebladh, Patrik Vestin, and Per Weslien
The majority of the world’s peatlands are located in northern regions where climate change is occurring most rapidly. Therefore, there is an urgent need to understand whether, and under what conditions, peatlands will remain carbon sinks or become carbon sources. The uncertainties in our predictions stem from a variety of sources, including uncertainty about the competing effects of rising air temperature on ecosystem respiration (Re) and gross primary production. Furthermore, peatlands contain a mixture of plant communities that respond differently to changes in temperature and precipitation. Such heterogeneity complicates attempts to upscale peatland carbon fluxes and predict the future peatland carbon balance.
We focus on understanding the sensitivity of peatland Re to temperature and how it relates to vegetation community and the choice of temperature metric. We assess how these relationships changed during and after the severe heatwave and drought (‘hot drought’) in 2018. We conducted manual dark chamber CO2 efflux measurements in Mycklemossen, an oligotrophic mire in southern Sweden in 2018 and in 2019, when weather conditions were closer to the long-term mean. The measurements covered the two main vegetation communities at the site: hummocks (vascular-plant dominated) and hollows (Sphagnum-dominated). We statistically compared the fluxes for both years and vegetation communities, then modelled them using three temperature metrics (air, surface, soil).
We found that Re decreased during the hot drought for both vegetation communities, with maximum fluxes of 0.18 and 0.34 mgCO2 m-2 s-1 in 2018 and 2019, respectively. However, the change in Re during the hot drought was dependent on vegetation community: hummock Re decreased substantially more than hollow Re (mean decrease: 48% and 15%, respectively). As a result, hollow Re was highest during drought whereas hummock Re was highest during non-drought conditions. Despite significant differences in Re between the vegetation communities, we found no significant differences in temperature between hummock and hollow vegetation, apart from in July and August 2018, at the peak of the hot drought. Nevertheless, hollow Re was more temperature-sensitive than hummock Re both during and after the hot drought. Furthermore, the temperature sensitivity of modelled Re depended on the choice of driving temperature, such that the surface temperature driven model produced the lowest whilst the soil temperature driven model produced the highest temperature sensitivity. Differences in temperature sensitivity of Re between the drought and non-drought conditions were similarly dependent on the temperature metric used to drive the Re model.
We found that peatland Re almost halved during a hot drought. Our results show that predictions of peatland response to warming must account for the proportion of different vegetation communities present, and how this may change, due to their differing responses to warming. The choice of driving temperature in peatland Re models does not impact model accuracy but it does influence the temperature-sensitivity, and thus the impact of temperature variations on the modelled flux. Modellers should therefore base parameter choices on vegetation community and driving temperature. Furthermore, comparisons of Re sensitivity to warming between studies using different driving temperatures may be misleading.
How to cite: Kelly, J., Kljun, N., Eklundh, L., Klemedtsson, L., Liljebladh, B., Vestin, P., and Weslien, P.: Sensitivity of peatland respiration to vegetation community and temperature metric during a hot drought, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1161, https://doi.org/10.5194/egusphere-egu2020-1161, 2020.
The majority of the world’s peatlands are located in northern regions where climate change is occurring most rapidly. Therefore, there is an urgent need to understand whether, and under what conditions, peatlands will remain carbon sinks or become carbon sources. The uncertainties in our predictions stem from a variety of sources, including uncertainty about the competing effects of rising air temperature on ecosystem respiration (Re) and gross primary production. Furthermore, peatlands contain a mixture of plant communities that respond differently to changes in temperature and precipitation. Such heterogeneity complicates attempts to upscale peatland carbon fluxes and predict the future peatland carbon balance.
We focus on understanding the sensitivity of peatland Re to temperature and how it relates to vegetation community and the choice of temperature metric. We assess how these relationships changed during and after the severe heatwave and drought (‘hot drought’) in 2018. We conducted manual dark chamber CO2 efflux measurements in Mycklemossen, an oligotrophic mire in southern Sweden in 2018 and in 2019, when weather conditions were closer to the long-term mean. The measurements covered the two main vegetation communities at the site: hummocks (vascular-plant dominated) and hollows (Sphagnum-dominated). We statistically compared the fluxes for both years and vegetation communities, then modelled them using three temperature metrics (air, surface, soil).
We found that Re decreased during the hot drought for both vegetation communities, with maximum fluxes of 0.18 and 0.34 mgCO2 m-2 s-1 in 2018 and 2019, respectively. However, the change in Re during the hot drought was dependent on vegetation community: hummock Re decreased substantially more than hollow Re (mean decrease: 48% and 15%, respectively). As a result, hollow Re was highest during drought whereas hummock Re was highest during non-drought conditions. Despite significant differences in Re between the vegetation communities, we found no significant differences in temperature between hummock and hollow vegetation, apart from in July and August 2018, at the peak of the hot drought. Nevertheless, hollow Re was more temperature-sensitive than hummock Re both during and after the hot drought. Furthermore, the temperature sensitivity of modelled Re depended on the choice of driving temperature, such that the surface temperature driven model produced the lowest whilst the soil temperature driven model produced the highest temperature sensitivity. Differences in temperature sensitivity of Re between the drought and non-drought conditions were similarly dependent on the temperature metric used to drive the Re model.
We found that peatland Re almost halved during a hot drought. Our results show that predictions of peatland response to warming must account for the proportion of different vegetation communities present, and how this may change, due to their differing responses to warming. The choice of driving temperature in peatland Re models does not impact model accuracy but it does influence the temperature-sensitivity, and thus the impact of temperature variations on the modelled flux. Modellers should therefore base parameter choices on vegetation community and driving temperature. Furthermore, comparisons of Re sensitivity to warming between studies using different driving temperatures may be misleading.
How to cite: Kelly, J., Kljun, N., Eklundh, L., Klemedtsson, L., Liljebladh, B., Vestin, P., and Weslien, P.: Sensitivity of peatland respiration to vegetation community and temperature metric during a hot drought, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1161, https://doi.org/10.5194/egusphere-egu2020-1161, 2020.
EGU2020-2881 | Displays | BG3.5
Specific features of the structure of oligotrophic peatlands in the Arctic ecoregionsSvetlana Selyanina and Tamara Ponomareva
The ecological functions of bog ecosystems and their resistance to external influences are largely determined by the structure and chemical composition of peat.
The structure of thick peat deposits of oligotrophic bogs typical for the west of the Arctic ecoregion of Russia is studied. The investigated peatlands are affected by the seas of the Arctic Ocean (the White and Barents). Bog massifs in the continental climate zone without marine influence outside the Arctic territories were studied for comparison purposes. The studied bog natural complexes all belong to the oligotrophic type, are similar in structure to the deposit profile, have a peat layer of the comparable thickness and a similar homogeneous botanical composition. The peat of all studied bogs is characterized by a low degree of decomposition over the entire depth of the profile (not more than 15-20%).
The degree of decomposition, the botanical composition and the structure of the samples was studied by transmitted-light-microscopy. Fractionation was carried out by elutriation on sieves with a mesh size of 100 μm and 250 μm.
The macrostructure of the studied peat bogs is formed by the undecomposed and weakly decomposed residues of peat-forming plants - mainly sphagnum mosses mixed with cotton-grass in certain layers. Analysis of peat samples from the Arctic ecoregion showed a high degree of grinding of sphagnum moss residues without visible signs of biochemical disturbance of cellular structures. This feature is most noticeable when considering the fraction of 100-250 μm, where particles of such plant residues are concentrated. Leaves of sphagnum mosses in peat samples from the Arctic maritime territories are broken, but the cellular structures retain their integrity. In peat samples from bogs of the continental climatic zone, this phenomenon is not observed. Plant residues retain their integrity quite well, both in the upper and lower layers, and the fraction of 100-250 μm is composed of undisturbed leaves of sphagnum mosses.
The revealed specific nature of defragmentation of plant residues in the conditions of oligotrophic bog massifs of the Arctic ecoregion can be explained by the freezing-thawing cycles during the formation of a stable snow cover. In the conditions of a maritime subarctic climate, a stable snow cover is formed for a long period in the multiple transitions of air and soil temperatures through the zero-temperature mark. The thickness of the snow cover under the influence of winds in the open spaces of the bogs can decrease to the minimum values. The noted structural features are traced throughout the depth of the deposit. However, increased content of physically destroyed particles of sphagnum mosses in the upper horizons of the peat deposit in the maritime subarctic climate is observed, which may well be associated with global warming and an increase in freezing-thawing cycles.
The obtained results require confirmation in the framework of model experiments both in the conditions of a mesocosm and laboratory. Besides, the extensive comparative studies on similar peat deposits in a maritime and continental climate must be made.
How to cite: Selyanina, S. and Ponomareva, T.: Specific features of the structure of oligotrophic peatlands in the Arctic ecoregions, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2881, https://doi.org/10.5194/egusphere-egu2020-2881, 2020.
The ecological functions of bog ecosystems and their resistance to external influences are largely determined by the structure and chemical composition of peat.
The structure of thick peat deposits of oligotrophic bogs typical for the west of the Arctic ecoregion of Russia is studied. The investigated peatlands are affected by the seas of the Arctic Ocean (the White and Barents). Bog massifs in the continental climate zone without marine influence outside the Arctic territories were studied for comparison purposes. The studied bog natural complexes all belong to the oligotrophic type, are similar in structure to the deposit profile, have a peat layer of the comparable thickness and a similar homogeneous botanical composition. The peat of all studied bogs is characterized by a low degree of decomposition over the entire depth of the profile (not more than 15-20%).
The degree of decomposition, the botanical composition and the structure of the samples was studied by transmitted-light-microscopy. Fractionation was carried out by elutriation on sieves with a mesh size of 100 μm and 250 μm.
The macrostructure of the studied peat bogs is formed by the undecomposed and weakly decomposed residues of peat-forming plants - mainly sphagnum mosses mixed with cotton-grass in certain layers. Analysis of peat samples from the Arctic ecoregion showed a high degree of grinding of sphagnum moss residues without visible signs of biochemical disturbance of cellular structures. This feature is most noticeable when considering the fraction of 100-250 μm, where particles of such plant residues are concentrated. Leaves of sphagnum mosses in peat samples from the Arctic maritime territories are broken, but the cellular structures retain their integrity. In peat samples from bogs of the continental climatic zone, this phenomenon is not observed. Plant residues retain their integrity quite well, both in the upper and lower layers, and the fraction of 100-250 μm is composed of undisturbed leaves of sphagnum mosses.
The revealed specific nature of defragmentation of plant residues in the conditions of oligotrophic bog massifs of the Arctic ecoregion can be explained by the freezing-thawing cycles during the formation of a stable snow cover. In the conditions of a maritime subarctic climate, a stable snow cover is formed for a long period in the multiple transitions of air and soil temperatures through the zero-temperature mark. The thickness of the snow cover under the influence of winds in the open spaces of the bogs can decrease to the minimum values. The noted structural features are traced throughout the depth of the deposit. However, increased content of physically destroyed particles of sphagnum mosses in the upper horizons of the peat deposit in the maritime subarctic climate is observed, which may well be associated with global warming and an increase in freezing-thawing cycles.
The obtained results require confirmation in the framework of model experiments both in the conditions of a mesocosm and laboratory. Besides, the extensive comparative studies on similar peat deposits in a maritime and continental climate must be made.
How to cite: Selyanina, S. and Ponomareva, T.: Specific features of the structure of oligotrophic peatlands in the Arctic ecoregions, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2881, https://doi.org/10.5194/egusphere-egu2020-2881, 2020.
EGU2020-3376 | Displays | BG3.5
Historial thallium deposition trends as recorded in peat bogs - examples from Czech sites with contrasting pollution historiesMartin Mihaljevic, Vojtech Ettler, and Ales Vanek
The purpose of this study is to investigate the Tl distribution and accumulation rates in Czech peatbogs 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.: Historial thallium deposition trends as recorded in peat bogs - examples from Czech sites with contrasting pollution histories, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3376, https://doi.org/10.5194/egusphere-egu2020-3376, 2020.
The purpose of this study is to investigate the Tl distribution and accumulation rates in Czech peatbogs 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.: Historial thallium deposition trends as recorded in peat bogs - examples from Czech sites with contrasting pollution histories, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3376, https://doi.org/10.5194/egusphere-egu2020-3376, 2020.
EGU2020-3452 | Displays | BG3.5 | Highlight
Carbon emission related to thermokarst processes in wetlands of NE European TundraSvetlana Zabelina, Liudmila Shirokova, Sergey Klimov, Artem Chupakov, Artem Lim, Yuri Polishchuk, Vladimir Polishchuk, Alexander Bogdanov, Ildar Muratov, Frederic Guerin, Jan Karlsson, and Oleg Pokrovsky
Emission of greenhouse gases (GHG) from inland waters is recognized as highly important and understudied part of terrestrial carbon (C) biogeochemical cycle. These emissions are still poorly quantified in permafrost regions containing a vast amount of surface C in frozen peatlands. This is especially true for NE European peatlands, located within sporadic to discontinuous permafrost zone which is highly vulnerable to thaw. For a first quantification of the C emission from lentic waters of the Bolshezemelskaya Tundra (BZT, 200,000 km²), we measured CO2 and CH4 concentrations and fluxes to the atmosphere in 98 depressions, thaw ponds and thermokarst lakes ranging from 0.5 to 5x106 m² in size. The CO2 fluxes decreased by an order of magnitude when lake size increased by > 3 orders of magnitude, while CH4 fluxes showed large variability that were not related to lake size By using a combination of Landsat-8 and GeoEye-1 images we found that lakes cover 4% of BZT, and calculated the overall C emission (CO2+CH4) from the lakes of the territory to 3.8 Tg C y-1 (99% C-CO2, 1% C-CH4). Large lakes (> 10,000 m²) dominated GHG emissions whereas small thaw ponds (< 1000 m²) had a minor contribution to overall lake surface area (< 2%) and GHG emission (< 5 % of CO2; < 20% of CH4). The results suggest that, if permafrost thaw in NE Europe leads to the disappearance of large thermokarst lakes and formation of new small thaw ponds and depressions, this will decrease GHG emission from lentic waters of this region. However, due to temporal and spatial variations of C fluxes, the uncertainties on areal GHG emission are at least one order of magnitude in small thaw ponds and a factor of 3 to 5 in thermokarst lakes.
This work was supported by the State Task AAAA-A18-118012390200-5, RFBR grant No. 18-05-70087 “Arctic Resources”, 19-07-00282, 18-45-860002, 18-45-703001 and 18-47-700001, and the Swedish Research Council (grant no. 2016-05275).
How to cite: Zabelina, S., Shirokova, L., Klimov, S., Chupakov, A., Lim, A., Polishchuk, Y., Polishchuk, V., Bogdanov, A., Muratov, I., Guerin, F., Karlsson, J., and Pokrovsky, O.: Carbon emission related to thermokarst processes in wetlands of NE European Tundra, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3452, https://doi.org/10.5194/egusphere-egu2020-3452, 2020.
Emission of greenhouse gases (GHG) from inland waters is recognized as highly important and understudied part of terrestrial carbon (C) biogeochemical cycle. These emissions are still poorly quantified in permafrost regions containing a vast amount of surface C in frozen peatlands. This is especially true for NE European peatlands, located within sporadic to discontinuous permafrost zone which is highly vulnerable to thaw. For a first quantification of the C emission from lentic waters of the Bolshezemelskaya Tundra (BZT, 200,000 km²), we measured CO2 and CH4 concentrations and fluxes to the atmosphere in 98 depressions, thaw ponds and thermokarst lakes ranging from 0.5 to 5x106 m² in size. The CO2 fluxes decreased by an order of magnitude when lake size increased by > 3 orders of magnitude, while CH4 fluxes showed large variability that were not related to lake size By using a combination of Landsat-8 and GeoEye-1 images we found that lakes cover 4% of BZT, and calculated the overall C emission (CO2+CH4) from the lakes of the territory to 3.8 Tg C y-1 (99% C-CO2, 1% C-CH4). Large lakes (> 10,000 m²) dominated GHG emissions whereas small thaw ponds (< 1000 m²) had a minor contribution to overall lake surface area (< 2%) and GHG emission (< 5 % of CO2; < 20% of CH4). The results suggest that, if permafrost thaw in NE Europe leads to the disappearance of large thermokarst lakes and formation of new small thaw ponds and depressions, this will decrease GHG emission from lentic waters of this region. However, due to temporal and spatial variations of C fluxes, the uncertainties on areal GHG emission are at least one order of magnitude in small thaw ponds and a factor of 3 to 5 in thermokarst lakes.
This work was supported by the State Task AAAA-A18-118012390200-5, RFBR grant No. 18-05-70087 “Arctic Resources”, 19-07-00282, 18-45-860002, 18-45-703001 and 18-47-700001, and the Swedish Research Council (grant no. 2016-05275).
How to cite: Zabelina, S., Shirokova, L., Klimov, S., Chupakov, A., Lim, A., Polishchuk, Y., Polishchuk, V., Bogdanov, A., Muratov, I., Guerin, F., Karlsson, J., and Pokrovsky, O.: Carbon emission related to thermokarst processes in wetlands of NE European Tundra, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3452, https://doi.org/10.5194/egusphere-egu2020-3452, 2020.
EGU2020-3660 | Displays | BG3.5 | Highlight
Quantification of peatland-mediated feedbacks to the climate systemNitin Chaudhary, Wenxin Zhang, Guy Schurgers, Susan Page, and Sebastian Westermann
Peatlands are important carbon reserves in the terrestrial ecosystem and cover 3% of the terrestrial land surface. Peatlands have stored around 350-500 Petagrams [1015] of carbon over the last thousands of years, comprising around 30% of the present-day soil organic carbon pool. Peatlands share many characteristics with upland mineral soils and non-peat wetland ecosystems. However, they constitute a unique ecosystem type with many special characteristics, such as a shallow water table depth, carbon-rich soils, a unique vegetation cover, spatial heterogeneity, anaerobic biogeochemistry and permafrost in the high latitude regions (>45°N). The recent changes in climate and land-use patterns have disturbed the Earth’s climate-carbon cycle equilibrium. These changes trigger some potentially important land-surface feedbacks, which will further modify the Earth’s climate. The ongoing changes in peatland carbon balance as a result of climate warming have the potential for strong positive and negative feedbacks to climate, but these impacts are poorly constrained. To assess the importance of these feedbacks, the interactions between the peatland carbon cycle and climate should be taken into account. However, the absence of peatlands in current Earth system models limits our understanding of the peatland-mediated feedbacks at different scales. LPJ-GUESS peatland-vegetation model showed a reasonable demonstration of capturing the right carbon accumulation rates and permafrost dynamics at different spatial and temporal scales and will be further improved and employed to quantify the hypothesized peatland-mediated feedbacks when coupled with regional/global climate models.
How to cite: Chaudhary, N., Zhang, W., Schurgers, G., Page, S., and Westermann, S.: Quantification of peatland-mediated feedbacks to the climate system, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3660, https://doi.org/10.5194/egusphere-egu2020-3660, 2020.
Peatlands are important carbon reserves in the terrestrial ecosystem and cover 3% of the terrestrial land surface. Peatlands have stored around 350-500 Petagrams [1015] of carbon over the last thousands of years, comprising around 30% of the present-day soil organic carbon pool. Peatlands share many characteristics with upland mineral soils and non-peat wetland ecosystems. However, they constitute a unique ecosystem type with many special characteristics, such as a shallow water table depth, carbon-rich soils, a unique vegetation cover, spatial heterogeneity, anaerobic biogeochemistry and permafrost in the high latitude regions (>45°N). The recent changes in climate and land-use patterns have disturbed the Earth’s climate-carbon cycle equilibrium. These changes trigger some potentially important land-surface feedbacks, which will further modify the Earth’s climate. The ongoing changes in peatland carbon balance as a result of climate warming have the potential for strong positive and negative feedbacks to climate, but these impacts are poorly constrained. To assess the importance of these feedbacks, the interactions between the peatland carbon cycle and climate should be taken into account. However, the absence of peatlands in current Earth system models limits our understanding of the peatland-mediated feedbacks at different scales. LPJ-GUESS peatland-vegetation model showed a reasonable demonstration of capturing the right carbon accumulation rates and permafrost dynamics at different spatial and temporal scales and will be further improved and employed to quantify the hypothesized peatland-mediated feedbacks when coupled with regional/global climate models.
How to cite: Chaudhary, N., Zhang, W., Schurgers, G., Page, S., and Westermann, S.: Quantification of peatland-mediated feedbacks to the climate system, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-3660, https://doi.org/10.5194/egusphere-egu2020-3660, 2020.
EGU2020-4748 | Displays | BG3.5
Methane emissions from a palsa-mire underlayed by sporadic permafrost under rapid degradationPatryk Łakomiec, Jutta Holst, and Janne Rinne
Methane is one of the most important greenhouse gases. The largest natural source of this gas are wetlands. Quantification emission from this source, especially from subarctic regions, which are exposed to fast climate changes, is important for our understanding of biogeochemical climate feedbacks. Abisko Stordalen is one of few mires in this climatic zone in which the methane emission is being measured continuously. Here we analyze eddy covariance data from the ICOS Sweden site with respect to environmental parameters possibly controlling the methane emissions.
Due to the large scale topography at Abisko, wind is channeled along the valley, resulting in to two main wind directions. This divides the measurements into two different surface type groups. On easterly winds, the flux footprint is dominated by permafrost features, while for westerly winds it is dominated by non-permafrost fen. Measured methane fluxes from these to wetland types, exposed for the same environmental conditions, differ considerably being higher from non-permafrost area. We will further analyze the differences in the annual methane emission from the two systems, and their dependencies from environmental parameters.
How to cite: Łakomiec, P., Holst, J., and Rinne, J.: Methane emissions from a palsa-mire underlayed by sporadic permafrost under rapid degradation, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4748, https://doi.org/10.5194/egusphere-egu2020-4748, 2020.
Methane is one of the most important greenhouse gases. The largest natural source of this gas are wetlands. Quantification emission from this source, especially from subarctic regions, which are exposed to fast climate changes, is important for our understanding of biogeochemical climate feedbacks. Abisko Stordalen is one of few mires in this climatic zone in which the methane emission is being measured continuously. Here we analyze eddy covariance data from the ICOS Sweden site with respect to environmental parameters possibly controlling the methane emissions.
Due to the large scale topography at Abisko, wind is channeled along the valley, resulting in to two main wind directions. This divides the measurements into two different surface type groups. On easterly winds, the flux footprint is dominated by permafrost features, while for westerly winds it is dominated by non-permafrost fen. Measured methane fluxes from these to wetland types, exposed for the same environmental conditions, differ considerably being higher from non-permafrost area. We will further analyze the differences in the annual methane emission from the two systems, and their dependencies from environmental parameters.
How to cite: Łakomiec, P., Holst, J., and Rinne, J.: Methane emissions from a palsa-mire underlayed by sporadic permafrost under rapid degradation, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4748, https://doi.org/10.5194/egusphere-egu2020-4748, 2020.
EGU2020-5143 | Displays | BG3.5
Introducing the VESBO Project - Impact assessment of vascular plant encroachment on water and carbon cycling in a Sphagnum dominated bogCarla Welpelo, Maren Dubbert, Bärbel Tiemeyer, Ullrich Dettmann, Thomas Beuster, Samuli Launiainen, Antti-Jussi Kieloaho, Kersti Haahti, and Arndt Piayda
Boreal and temperate peatlands cover less than 3% of the earth's surface but store nearly 30% of the terrestrial carbon. Natural raised bogs are characterized by a Sphagnum-moss dominated vegetation cover. The majority of bogs has been used for peat extraction or agriculture for centuries, but in the last decades the focus on restoration to protect climate and biodiversity was increasing. This includes the re-establishment of quasi-natural hydrological conditions as well as of ecosystem-typical vegetation.
Recently, a change in species composition of restored bogs from Sphagnum-dominated bryophyte communities to multi-layered tree and graminoid vegetation was observed. Current investigations report contradictory effects for the impact on throughfall, evapotranspiration (ET), gross primary productivity, respiration, net CO2 balance (NEE) as well as soil carbon sink strength. A final conclusion with respect to altered ecosystem functioning through changing conditions for vegetation development in the light of climate change is missing.
The VESBO project aims at the mechanistic analysis of ET, NEE and soil carbon sink strength of a restored, atlantic-temperate raised bog during vascular plant encroachment. The two study areas are former peat extraction sites, with one being Sphagnum-dominated while the other one has been populated by Betula pubescens during the last years. Focus will be placed on the partitioning of total ecosystem ET and NEE fluxes by Eddy Covariance and chamber measurements in situ into bryophyte, graminoid and tree contributions. Results are used to parameterize a modern soil-vegetation-atmosphere-transport model able to simulate bryophyte and vascular plant layers on peat soil. The model, jointly with the empirical data, is used to quantify seasonal changes in plant functional group flux contributions depending on altered environmental conditions. The holistic process understanding is of high relevance for the NEE estimation of restored bog ecosystems under changing climatic conditions and vegetation compositions. The knowledge about different interactions of plant functional groups with mass and energy fluxes of the bog ecosystem will be valorised by the assessment of restoration and emission mitigation measures throughout Europe.
How to cite: Welpelo, C., Dubbert, M., Tiemeyer, B., Dettmann, U., Beuster, T., Launiainen, S., Kieloaho, A.-J., Haahti, K., and Piayda, A.: Introducing the VESBO Project - Impact assessment of vascular plant encroachment on water and carbon cycling in a Sphagnum dominated bog, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5143, https://doi.org/10.5194/egusphere-egu2020-5143, 2020.
Boreal and temperate peatlands cover less than 3% of the earth's surface but store nearly 30% of the terrestrial carbon. Natural raised bogs are characterized by a Sphagnum-moss dominated vegetation cover. The majority of bogs has been used for peat extraction or agriculture for centuries, but in the last decades the focus on restoration to protect climate and biodiversity was increasing. This includes the re-establishment of quasi-natural hydrological conditions as well as of ecosystem-typical vegetation.
Recently, a change in species composition of restored bogs from Sphagnum-dominated bryophyte communities to multi-layered tree and graminoid vegetation was observed. Current investigations report contradictory effects for the impact on throughfall, evapotranspiration (ET), gross primary productivity, respiration, net CO2 balance (NEE) as well as soil carbon sink strength. A final conclusion with respect to altered ecosystem functioning through changing conditions for vegetation development in the light of climate change is missing.
The VESBO project aims at the mechanistic analysis of ET, NEE and soil carbon sink strength of a restored, atlantic-temperate raised bog during vascular plant encroachment. The two study areas are former peat extraction sites, with one being Sphagnum-dominated while the other one has been populated by Betula pubescens during the last years. Focus will be placed on the partitioning of total ecosystem ET and NEE fluxes by Eddy Covariance and chamber measurements in situ into bryophyte, graminoid and tree contributions. Results are used to parameterize a modern soil-vegetation-atmosphere-transport model able to simulate bryophyte and vascular plant layers on peat soil. The model, jointly with the empirical data, is used to quantify seasonal changes in plant functional group flux contributions depending on altered environmental conditions. The holistic process understanding is of high relevance for the NEE estimation of restored bog ecosystems under changing climatic conditions and vegetation compositions. The knowledge about different interactions of plant functional groups with mass and energy fluxes of the bog ecosystem will be valorised by the assessment of restoration and emission mitigation measures throughout Europe.
How to cite: Welpelo, C., Dubbert, M., Tiemeyer, B., Dettmann, U., Beuster, T., Launiainen, S., Kieloaho, A.-J., Haahti, K., and Piayda, A.: Introducing the VESBO Project - Impact assessment of vascular plant encroachment on water and carbon cycling in a Sphagnum dominated bog, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5143, https://doi.org/10.5194/egusphere-egu2020-5143, 2020.
EGU2020-7693 | Displays | BG3.5
The effect of the addition of 13C labelled artificial root exudates on carbon cycling in intact peat bog mesocosmsRaphael Müller, Gareth Clay, Claudia Blauensteiner, Erich Inselsbacher, Karsten Kalbitz, Andreas Maier, Robert Peticzka, Gang Wang, and Stephan Glatzel
Root exudates are a key driver of carbon cycling in peatlands. They have been found to influence substrate quality in and methane release from peat (Ström et al., 2003), peat decomposition (Crow & Wieder, 2005) and to cause priming effects (Basiliko et al., 2012). However, investigating the fate of added root exudates in peatlands is very challenging, as it requires the consideration of the gaseous, liquid, and soil phase, a traceable substrate, and as little disturbance as possible.
We sampled 6 undisturbed peat cores from Pürgschachen Moor, Austria in September 2019. Following transport of the cores to the laboratory in Vienna, we stored the mesocosms in daylight with intact vegetation at 22°C and created ports for pore water sampling in 5, 15, and 25 cm depth. The water table was set to 3 cm below surface by daily addition of artificial Pürgschachen rainfall (20 kg N ha-1 yr-1). After 1 week of incubation for establishment of a baseline, three cores were spiked with 140 mg artificial root exudates consisting of 99% glucose-, acetic acid- and amino acid 13C following Basiliko et al. (2012) at 15 cm depth. We monitored carbon dioxide (CO2), and methane (CH4) and 13CO2 and 13CH4 efflux from the cores daily and sampled dissolved organic carbon (DOC) weekly from the ports. Three weeks after spiking, all cores were drained, drainage water collected, and peat at 5, 15, and 25 cm depth sampled. Upon drying at 60°C, peat C and 13C content was determined and DOC samples were analysed for C and 13C content.
Results show that ca. 20% of spiked substrates were incorporated into peat, but this effect was restricted to 15 cm peat depth and ca. 30% were respired as CO2. No priming effect was detected; the spiked cores did not release more CO2 and CH4 than the control cores. 13C concentration in peat at 5 and 25 cm depth showed no increased 13C concentration.
These results indicate a low mobility of DOC and a limited effect of root exudate derived substrate in peat bogs with a low water table oscillation, explaining remarkably constant CH4 release rates reported by Drollinger et al. (2019b).
References:
Basiliko, N., Stewart, H., Roulet, N.T., Moore, T.R. (2012): Do Root Exudates Enhance Peat Decomposition? Geomicrobiology Journal 29: 374-378.
Crow SE, Wieder RK. 2005. Sources of CO2 emission from a northern peatland:
root respiration, exudation, and decomposition. Ecology 86:1825–1834.
Drollinger, S., Kuzyakov, Y., Glatzel, S. (2019a): Effects of peat decomposition on d13C and d15N depth profiles of Alpine bogs. Catena 187: 1-10.
Drollinger, S., Maier, A. Glatzel, S. (2019b): Interannual and seasonal variability in carbon dioxide and methane fluxes of a pine peat bog in the Eastern Alps, Austria. Agricultural and Forest Meteorology 275: 69-78.
Ström, L. Ekberg, A., Mastepanov, M., Christensen, T.R. (2003): The effect of vascular plants on carbon turnover and methane emissions from a tundra wetland. Global Change Biology 9: 1185-1192.
How to cite: Müller, R., Clay, G., Blauensteiner, C., Inselsbacher, E., Kalbitz, K., Maier, A., Peticzka, R., Wang, G., and Glatzel, S.: The effect of the addition of 13C labelled artificial root exudates on carbon cycling in intact peat bog mesocosms , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7693, https://doi.org/10.5194/egusphere-egu2020-7693, 2020.
Root exudates are a key driver of carbon cycling in peatlands. They have been found to influence substrate quality in and methane release from peat (Ström et al., 2003), peat decomposition (Crow & Wieder, 2005) and to cause priming effects (Basiliko et al., 2012). However, investigating the fate of added root exudates in peatlands is very challenging, as it requires the consideration of the gaseous, liquid, and soil phase, a traceable substrate, and as little disturbance as possible.
We sampled 6 undisturbed peat cores from Pürgschachen Moor, Austria in September 2019. Following transport of the cores to the laboratory in Vienna, we stored the mesocosms in daylight with intact vegetation at 22°C and created ports for pore water sampling in 5, 15, and 25 cm depth. The water table was set to 3 cm below surface by daily addition of artificial Pürgschachen rainfall (20 kg N ha-1 yr-1). After 1 week of incubation for establishment of a baseline, three cores were spiked with 140 mg artificial root exudates consisting of 99% glucose-, acetic acid- and amino acid 13C following Basiliko et al. (2012) at 15 cm depth. We monitored carbon dioxide (CO2), and methane (CH4) and 13CO2 and 13CH4 efflux from the cores daily and sampled dissolved organic carbon (DOC) weekly from the ports. Three weeks after spiking, all cores were drained, drainage water collected, and peat at 5, 15, and 25 cm depth sampled. Upon drying at 60°C, peat C and 13C content was determined and DOC samples were analysed for C and 13C content.
Results show that ca. 20% of spiked substrates were incorporated into peat, but this effect was restricted to 15 cm peat depth and ca. 30% were respired as CO2. No priming effect was detected; the spiked cores did not release more CO2 and CH4 than the control cores. 13C concentration in peat at 5 and 25 cm depth showed no increased 13C concentration.
These results indicate a low mobility of DOC and a limited effect of root exudate derived substrate in peat bogs with a low water table oscillation, explaining remarkably constant CH4 release rates reported by Drollinger et al. (2019b).
References:
Basiliko, N., Stewart, H., Roulet, N.T., Moore, T.R. (2012): Do Root Exudates Enhance Peat Decomposition? Geomicrobiology Journal 29: 374-378.
Crow SE, Wieder RK. 2005. Sources of CO2 emission from a northern peatland:
root respiration, exudation, and decomposition. Ecology 86:1825–1834.
Drollinger, S., Kuzyakov, Y., Glatzel, S. (2019a): Effects of peat decomposition on d13C and d15N depth profiles of Alpine bogs. Catena 187: 1-10.
Drollinger, S., Maier, A. Glatzel, S. (2019b): Interannual and seasonal variability in carbon dioxide and methane fluxes of a pine peat bog in the Eastern Alps, Austria. Agricultural and Forest Meteorology 275: 69-78.
Ström, L. Ekberg, A., Mastepanov, M., Christensen, T.R. (2003): The effect of vascular plants on carbon turnover and methane emissions from a tundra wetland. Global Change Biology 9: 1185-1192.
How to cite: Müller, R., Clay, G., Blauensteiner, C., Inselsbacher, E., Kalbitz, K., Maier, A., Peticzka, R., Wang, G., and Glatzel, S.: The effect of the addition of 13C labelled artificial root exudates on carbon cycling in intact peat bog mesocosms , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7693, https://doi.org/10.5194/egusphere-egu2020-7693, 2020.
EGU2020-8893 | Displays | BG3.5 | Highlight
Transfer of organic matter through a peatland system – from terrestrial to aquatic systemsIan Boothroyd, Fred Worrall, Geoff Abbott, Catherine Moody, Gareth Clay, and Rob Rose
Peatlands are important terrestrial carbon stores and it is important to understand the processes involved in carbon cycling. At Moor House, an upland blanket bog in the United Kingdom (UK), stoichiometric approaches have been adopted to understand carbon cycling through the peatland and this has been used to understand the production, transport and transformation of organic matter from terrestrial to aquatic systems.
Previous results analysing vegetation, peat cores, soil pore water from shallow and deep sample depths, and stream water from Moor House assessed how the composition of organic matter changes through the peatland system, to its export in the stream network. Results showed that there was an increase in the nominal carbon oxidation state (Cox) of dissolved organic matter (DOM) transferred from soil pore water to stream water. The composition of DOM in soil pore water evolved from near-surface peat layers but stream water DOM was quite distinct in composition. This study assessed the role of DOM in the degradation of peat organic matter by examining the composition of DOM through the peat profile and in separate flow pathways. Sampling was undertaken at Moor House, with sampling from surface, shallow and deep soil water; surface runoff and stream water. Samples were analysed for their elemental content (C, H, N and O), and differential scanning calorimetry and bomb calorimetry.
How to cite: Boothroyd, I., Worrall, F., Abbott, G., Moody, C., Clay, G., and Rose, R.: Transfer of organic matter through a peatland system – from terrestrial to aquatic systems, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8893, https://doi.org/10.5194/egusphere-egu2020-8893, 2020.
Peatlands are important terrestrial carbon stores and it is important to understand the processes involved in carbon cycling. At Moor House, an upland blanket bog in the United Kingdom (UK), stoichiometric approaches have been adopted to understand carbon cycling through the peatland and this has been used to understand the production, transport and transformation of organic matter from terrestrial to aquatic systems.
Previous results analysing vegetation, peat cores, soil pore water from shallow and deep sample depths, and stream water from Moor House assessed how the composition of organic matter changes through the peatland system, to its export in the stream network. Results showed that there was an increase in the nominal carbon oxidation state (Cox) of dissolved organic matter (DOM) transferred from soil pore water to stream water. The composition of DOM in soil pore water evolved from near-surface peat layers but stream water DOM was quite distinct in composition. This study assessed the role of DOM in the degradation of peat organic matter by examining the composition of DOM through the peat profile and in separate flow pathways. Sampling was undertaken at Moor House, with sampling from surface, shallow and deep soil water; surface runoff and stream water. Samples were analysed for their elemental content (C, H, N and O), and differential scanning calorimetry and bomb calorimetry.
How to cite: Boothroyd, I., Worrall, F., Abbott, G., Moody, C., Clay, G., and Rose, R.: Transfer of organic matter through a peatland system – from terrestrial to aquatic systems, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8893, https://doi.org/10.5194/egusphere-egu2020-8893, 2020.
EGU2020-10948 | Displays | BG3.5
Modeling relevant factors and covariates of carbon stock changes in peatlands using a hierarchical linear mixed modeling approachKilian Walz, Kenneth A Byrne, David Wilson, and Florence Renou-Wilson
While peatlands constitute the largest soil carbon stock in Ireland with 75% of soil carbon stored in an area covering an estimated 20% of the land surface, carbon stocks of peatlands are affected by past and present disturbances related to various land uses. Afforestation, grazing and peat extraction for energy and horticultural use often are major drivers of peatland soil degradation. A comparative assessment of the impact of land disturbance on peatland soil carbon stocks on a national scale has been lacking so far. Current research, funded by the Irish Environmental Protection Agency (EPA), addresses this issue with the goal to fill various gaps related to mapping and modeling changes of soil carbon stock in Irish peatlands. Data from the first nationwide peatland survey forms the basis for this study, in which the influence of different factors and covariates on soil carbon distribution in peatlands is examined. After data exploratory analysis, a mixed linear modeling approach is tested for its suitability to explain peatland soil carbon distribution within the Republic of Ireland. Parameters are identified which are responsible for changes across the country. In addition, model performance to map peat soil carbon stock within a three-dimensional space is evaluated.
How to cite: Walz, K., Byrne, K. A., Wilson, D., and Renou-Wilson, F.: Modeling relevant factors and covariates of carbon stock changes in peatlands using a hierarchical linear mixed modeling approach, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10948, https://doi.org/10.5194/egusphere-egu2020-10948, 2020.
While peatlands constitute the largest soil carbon stock in Ireland with 75% of soil carbon stored in an area covering an estimated 20% of the land surface, carbon stocks of peatlands are affected by past and present disturbances related to various land uses. Afforestation, grazing and peat extraction for energy and horticultural use often are major drivers of peatland soil degradation. A comparative assessment of the impact of land disturbance on peatland soil carbon stocks on a national scale has been lacking so far. Current research, funded by the Irish Environmental Protection Agency (EPA), addresses this issue with the goal to fill various gaps related to mapping and modeling changes of soil carbon stock in Irish peatlands. Data from the first nationwide peatland survey forms the basis for this study, in which the influence of different factors and covariates on soil carbon distribution in peatlands is examined. After data exploratory analysis, a mixed linear modeling approach is tested for its suitability to explain peatland soil carbon distribution within the Republic of Ireland. Parameters are identified which are responsible for changes across the country. In addition, model performance to map peat soil carbon stock within a three-dimensional space is evaluated.
How to cite: Walz, K., Byrne, K. A., Wilson, D., and Renou-Wilson, F.: Modeling relevant factors and covariates of carbon stock changes in peatlands using a hierarchical linear mixed modeling approach, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10948, https://doi.org/10.5194/egusphere-egu2020-10948, 2020.
EGU2020-11170 | Displays | BG3.5 | Highlight
A geochemical peat record from the Great Vasyugan Mire, Tomsk, Siberia evidencing a regionally coherent pattern of human impact over the last five centuries.Simon Hutchinson, Andrei Diaconu, Sergey Kirpotin, and Angelica Feurdean
Interest in peatland environments, especially in terms of their carbon storage, has increased markedly in response to the heightened awareness of future, global climatic conditions. However, significant gaps remain in the spatial coverage of our knowledge of mires; including some major wetland systems. This paucity has implications, not only for our understanding of their origins, development and functioning, but also for adequately predicting future changes and providing scientifically based recommendations for mire environmental management. Our INTERACT-supported study provides a radiometrically dated, well-characterised millennial-scale peat record from two contrasting undisturbed and impacted (ditched) sites, respectively in the Great Vasyugan Mire (GVM) near Tomsk, Siberia, which is reputedly the largest peat system in the world. In addition to their palaeoecological characterisation, we identified both natural (lithogenic) and anthropogenic geochemical signals recording human impacts with site-specific variations. Elevated trace element concentrations in both peat profiles align with the time frame of the region’s wider agricultural and economic development with the annexation of Siberia by Russia (from ca. 1600 AD) when pollen assemblage characteristics suggest a decline in forest cover and an increase in herbaceous plants associated with human disturbance. Trace element concentrations peak with the subsequent industrialisation of centres around the Ob river (after ca. 1950 AD). On a global scale, our sites, together with evidence from the few other comparable studies in the region, suggest that the GVM is relatively uncontaminated by human activities with a mean lead (Pb) level of < 4 mg/kg. However, via lithogenic elements including Rb, Ti and Zr we detected both a geochemical signal as a result of historical land cover changes, which enhanced mineral dust deposition following disturbance, as well as fossil fuel derived pollutants, as relatively elevated, subsurface As and Pb concentrations of ca. 10 and 25 mg/kg respectively, with the development of industry in the region. Moreover, we identify the local effects of drainage for afforestation (ca. 1960s) on the peat profile. At the impacted site, which was ditched, but subsequently abandoned, the influence of arrested peat growth on the site’s geochemical depth profile highlights the potential significance of local factors. Although relatively remote and vast, the GVM appears to hold a legacy of human activity that can be detected as a geochemical signal supporting the inferences of other palaeoenvironmental proxies. Such geochemical peat core records, from Eurasia in particular, remain relatively scarce in the international scientific literature. Therefore, our study contributes to an understanding of a less well known and, as yet, inadequately characterised and quantified region.
How to cite: Hutchinson, S., Diaconu, A., Kirpotin, S., and Feurdean, A.: A geochemical peat record from the Great Vasyugan Mire, Tomsk, Siberia evidencing a regionally coherent pattern of human impact over the last five centuries. , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11170, https://doi.org/10.5194/egusphere-egu2020-11170, 2020.
Interest in peatland environments, especially in terms of their carbon storage, has increased markedly in response to the heightened awareness of future, global climatic conditions. However, significant gaps remain in the spatial coverage of our knowledge of mires; including some major wetland systems. This paucity has implications, not only for our understanding of their origins, development and functioning, but also for adequately predicting future changes and providing scientifically based recommendations for mire environmental management. Our INTERACT-supported study provides a radiometrically dated, well-characterised millennial-scale peat record from two contrasting undisturbed and impacted (ditched) sites, respectively in the Great Vasyugan Mire (GVM) near Tomsk, Siberia, which is reputedly the largest peat system in the world. In addition to their palaeoecological characterisation, we identified both natural (lithogenic) and anthropogenic geochemical signals recording human impacts with site-specific variations. Elevated trace element concentrations in both peat profiles align with the time frame of the region’s wider agricultural and economic development with the annexation of Siberia by Russia (from ca. 1600 AD) when pollen assemblage characteristics suggest a decline in forest cover and an increase in herbaceous plants associated with human disturbance. Trace element concentrations peak with the subsequent industrialisation of centres around the Ob river (after ca. 1950 AD). On a global scale, our sites, together with evidence from the few other comparable studies in the region, suggest that the GVM is relatively uncontaminated by human activities with a mean lead (Pb) level of < 4 mg/kg. However, via lithogenic elements including Rb, Ti and Zr we detected both a geochemical signal as a result of historical land cover changes, which enhanced mineral dust deposition following disturbance, as well as fossil fuel derived pollutants, as relatively elevated, subsurface As and Pb concentrations of ca. 10 and 25 mg/kg respectively, with the development of industry in the region. Moreover, we identify the local effects of drainage for afforestation (ca. 1960s) on the peat profile. At the impacted site, which was ditched, but subsequently abandoned, the influence of arrested peat growth on the site’s geochemical depth profile highlights the potential significance of local factors. Although relatively remote and vast, the GVM appears to hold a legacy of human activity that can be detected as a geochemical signal supporting the inferences of other palaeoenvironmental proxies. Such geochemical peat core records, from Eurasia in particular, remain relatively scarce in the international scientific literature. Therefore, our study contributes to an understanding of a less well known and, as yet, inadequately characterised and quantified region.
How to cite: Hutchinson, S., Diaconu, A., Kirpotin, S., and Feurdean, A.: A geochemical peat record from the Great Vasyugan Mire, Tomsk, Siberia evidencing a regionally coherent pattern of human impact over the last five centuries. , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11170, https://doi.org/10.5194/egusphere-egu2020-11170, 2020.
EGU2020-12952 | Displays | BG3.5
Redox state affects methane flux in a northern boreal flark fenMarkku Koskinen, Hanna Finné, Tarmo Virtanen, Annalea Lohila, Raija Laiho, Tuomas Laurila, and Mika Aurela
Long-term continuous measurement of reduction-oxidation (redox) potential is an emerging tool for analysing ecosystem status. Redox processes are intrinsically linked to methane (CH4) production and consumption in soils. Under highly reducing conditions, acetate and carbon dioxide (CO2) are reduced into CH4, while at less reducing conditions, CH4 is readily oxidised into CO2. These oxidation processes do not necessarily require oxygen; other electron acceptors such as nitrate (NO3-) and iron can also be used by microbes. The prevalence of different electron acceptors and donors is reflected in the redox potential of the soil solution which can be measured. Thus measurements of soil redox potential could in principle be used for predicting CH4 flux.
We measured soil redox potential at 4 depths between 5 and 40 cm continuously over one growing season on nine measurement plots on three different microsites (flark, lawn and string), in a north boreal flark fen, while concurrently measuring CO2 and CH4 flux of the same plots using the manual chamber method. Flux measurements were conducted five to seven times per week from late June to late September, 2019. Along with the redox potential, water table level (WTL), air and soil temperature (Tair, Tsoil) and several vegetation characteristics were also measured.
Tsoil was found to be the major control of the momentary CH4 flux, but after standardizing the flux to 10 C using the Lloyd-Taylor equation, including the soil redox potential was found to significantly (p < 0.001) improve the prediction of the flux over a model incorporating only WTL and momentary Tsoil.
This is an initial step towards inclusion of redox potential as a continuous variable describing the processes active in the soil into CH4 production/consumption models.
How to cite: Koskinen, M., Finné, H., Virtanen, T., Lohila, A., Laiho, R., Laurila, T., and Aurela, M.: Redox state affects methane flux in a northern boreal flark fen, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12952, https://doi.org/10.5194/egusphere-egu2020-12952, 2020.
Long-term continuous measurement of reduction-oxidation (redox) potential is an emerging tool for analysing ecosystem status. Redox processes are intrinsically linked to methane (CH4) production and consumption in soils. Under highly reducing conditions, acetate and carbon dioxide (CO2) are reduced into CH4, while at less reducing conditions, CH4 is readily oxidised into CO2. These oxidation processes do not necessarily require oxygen; other electron acceptors such as nitrate (NO3-) and iron can also be used by microbes. The prevalence of different electron acceptors and donors is reflected in the redox potential of the soil solution which can be measured. Thus measurements of soil redox potential could in principle be used for predicting CH4 flux.
We measured soil redox potential at 4 depths between 5 and 40 cm continuously over one growing season on nine measurement plots on three different microsites (flark, lawn and string), in a north boreal flark fen, while concurrently measuring CO2 and CH4 flux of the same plots using the manual chamber method. Flux measurements were conducted five to seven times per week from late June to late September, 2019. Along with the redox potential, water table level (WTL), air and soil temperature (Tair, Tsoil) and several vegetation characteristics were also measured.
Tsoil was found to be the major control of the momentary CH4 flux, but after standardizing the flux to 10 C using the Lloyd-Taylor equation, including the soil redox potential was found to significantly (p < 0.001) improve the prediction of the flux over a model incorporating only WTL and momentary Tsoil.
This is an initial step towards inclusion of redox potential as a continuous variable describing the processes active in the soil into CH4 production/consumption models.
How to cite: Koskinen, M., Finné, H., Virtanen, T., Lohila, A., Laiho, R., Laurila, T., and Aurela, M.: Redox state affects methane flux in a northern boreal flark fen, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12952, https://doi.org/10.5194/egusphere-egu2020-12952, 2020.
EGU2020-19966 | Displays | BG3.5
High temporal resolution measurements of CO2, CH4 and N2O in a Norwegian mire ecosystem using automated light-dark chambersLinsey Avila, Klaus Steenberg Larsen, Andreas Ibrom, Norbert Pirk, and Poul Larsen
Regeneration of natural hydrology in previously drained peatlands is becoming a widespread practice in nature restoration projects around the world. The drained peatlands are well known for their high emissions of CO2 caused by increased microbial decomposition rates in these very organic soils when suddenly exposed to higher levels of oxygen availability. Restoring natural water levels reduces again the decomposition rates and CO2 emissions. It remains uncertain, however, how rates of the much stronger greenhouse gases, CH4 and N2O, respond to the restored water table and these fluxes can potentially offset the GHG balance of rewetting peatlands.
In a new project in Norway (close to Trysil, Innlandet), we installed five ECO2flux automated chambers and one eddy flux tower in each of two areas of drained peatlands. The automatic chambers were placed with different distances to the ditches reflecting variation in water table with greatest water level variability at the edges of the ditches. After two years, the ditches will be filled and the natural water table will be regenerated in one of the areas in order to follow the differences in the fluxes of CO2, CH4 and N2O upon rewetting.
We here present an analysis of the first year’s data from the ECO2flux chambers including the total greenhouse gas budget for the period measured. The fluxes of CO2 showed only little spatial heterogeneity whereas we observed a significant spatial pattern of higher fluxes of CH4 in plots where the water table was closer to the surface. The driest plots, i.e. the edges of the drain ditches, showed also the lowest emissions of CH4. The trend was similar in the two areas. This is an indicating that planned rewetting after two years of the project may lead to enhanced production and emission of CH4 in the area. So far, we observed no N2O emissions above the detection limit of the system indicating that CO2 and CH4 are the major components of the GHG budget.
How to cite: Avila, L., Steenberg Larsen, K., Ibrom, A., Pirk, N., and Larsen, P.: High temporal resolution measurements of CO2, CH4 and N2O in a Norwegian mire ecosystem using automated light-dark chambers, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19966, https://doi.org/10.5194/egusphere-egu2020-19966, 2020.
Regeneration of natural hydrology in previously drained peatlands is becoming a widespread practice in nature restoration projects around the world. The drained peatlands are well known for their high emissions of CO2 caused by increased microbial decomposition rates in these very organic soils when suddenly exposed to higher levels of oxygen availability. Restoring natural water levels reduces again the decomposition rates and CO2 emissions. It remains uncertain, however, how rates of the much stronger greenhouse gases, CH4 and N2O, respond to the restored water table and these fluxes can potentially offset the GHG balance of rewetting peatlands.
In a new project in Norway (close to Trysil, Innlandet), we installed five ECO2flux automated chambers and one eddy flux tower in each of two areas of drained peatlands. The automatic chambers were placed with different distances to the ditches reflecting variation in water table with greatest water level variability at the edges of the ditches. After two years, the ditches will be filled and the natural water table will be regenerated in one of the areas in order to follow the differences in the fluxes of CO2, CH4 and N2O upon rewetting.
We here present an analysis of the first year’s data from the ECO2flux chambers including the total greenhouse gas budget for the period measured. The fluxes of CO2 showed only little spatial heterogeneity whereas we observed a significant spatial pattern of higher fluxes of CH4 in plots where the water table was closer to the surface. The driest plots, i.e. the edges of the drain ditches, showed also the lowest emissions of CH4. The trend was similar in the two areas. This is an indicating that planned rewetting after two years of the project may lead to enhanced production and emission of CH4 in the area. So far, we observed no N2O emissions above the detection limit of the system indicating that CO2 and CH4 are the major components of the GHG budget.
How to cite: Avila, L., Steenberg Larsen, K., Ibrom, A., Pirk, N., and Larsen, P.: High temporal resolution measurements of CO2, CH4 and N2O in a Norwegian mire ecosystem using automated light-dark chambers, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19966, https://doi.org/10.5194/egusphere-egu2020-19966, 2020.
EGU2020-20203 | Displays | BG3.5
Microrefugia - limiting factors and unique synergy of environmentSandra Słowińska, Michał Słowiński, Agnieszka M. Noryśkiewicz, Mariusz Lamentowicz, and Piotr Kołaczek
Peatlands are a very important ecosystem which are characterized by distinctive vegetation, hydrology, and local climate. In the last decades, much effort was made a better understanding of microrefugia and their importance. Nevertheless, we still have little knowledge about the histories of the refugia. In the day of rapid climate change and increasing anthropogenic pressure, knowledge about the history of sites that represent a refugium of flora or fauna is a key aspect. The aim of this study is reconstructing the history of the glacial relict Betula nana in northern Poland located far from the southern range of its natural distribution. We suppose that the persistence of Betula nana is driven by a) the morphology and geology of the catchment, b) the maintenance of open vegetation on the peatland surface and c) exceptional microclimatic and hydrological conditions. Here, based on recent eco-hydrological monitoring and long-term palaeoecological proxy we try to be understated postglacial refugia of Betula nana from Central Europe (Linje mire). Detailed research was carried out on the peat profile using pollen analysis, to reconstruct the presence of open habitat on the mire during the Holocene. Pollen and macrofossils analysis revealed a continuous presence of Betula nana in the postglacial history of the peatland. Palaeoecological results show the variable situation of the Betula nana population in the peatland over the past 12 ka, indicating a strong relationship between paleohydrology and changes in the occurrence of this species. Our results of 12 years of local monitoring indicated that the mire is characterized by specific local climate and diverse water table depth. A synergy of local relief, microclimates, hydrology, and geology of the catchment affects the Betula nana population during the post-glacial history.
How to cite: Słowińska, S., Słowiński, M., Noryśkiewicz, A. M., Lamentowicz, M., and Kołaczek, P.: Microrefugia - limiting factors and unique synergy of environment, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20203, https://doi.org/10.5194/egusphere-egu2020-20203, 2020.
Peatlands are a very important ecosystem which are characterized by distinctive vegetation, hydrology, and local climate. In the last decades, much effort was made a better understanding of microrefugia and their importance. Nevertheless, we still have little knowledge about the histories of the refugia. In the day of rapid climate change and increasing anthropogenic pressure, knowledge about the history of sites that represent a refugium of flora or fauna is a key aspect. The aim of this study is reconstructing the history of the glacial relict Betula nana in northern Poland located far from the southern range of its natural distribution. We suppose that the persistence of Betula nana is driven by a) the morphology and geology of the catchment, b) the maintenance of open vegetation on the peatland surface and c) exceptional microclimatic and hydrological conditions. Here, based on recent eco-hydrological monitoring and long-term palaeoecological proxy we try to be understated postglacial refugia of Betula nana from Central Europe (Linje mire). Detailed research was carried out on the peat profile using pollen analysis, to reconstruct the presence of open habitat on the mire during the Holocene. Pollen and macrofossils analysis revealed a continuous presence of Betula nana in the postglacial history of the peatland. Palaeoecological results show the variable situation of the Betula nana population in the peatland over the past 12 ka, indicating a strong relationship between paleohydrology and changes in the occurrence of this species. Our results of 12 years of local monitoring indicated that the mire is characterized by specific local climate and diverse water table depth. A synergy of local relief, microclimates, hydrology, and geology of the catchment affects the Betula nana population during the post-glacial history.
How to cite: Słowińska, S., Słowiński, M., Noryśkiewicz, A. M., Lamentowicz, M., and Kołaczek, P.: Microrefugia - limiting factors and unique synergy of environment, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20203, https://doi.org/10.5194/egusphere-egu2020-20203, 2020.
EGU2020-20705 | Displays | BG3.5
Pre-restoration carbon dioxide exchange and energy balance dynamics in an eroded upland blanket bog peatland, Scotland, UKMhairi Coyle, Ross Morrison, Rebekka Artz, Jagadeesh Yeluripati, and Gillian Donaldson-Selby
Greenhouse gas emissions from damaged peatlands in the UK contribute around 5% to the annual national UK emissions. This has prompted a large national effort to restore these ecosystems as part of the package of action that aims to deliver net zero by 2050 in the UK and 2045 in Scotland. Eroded peatlands cover an estimated 275kha in Scotland, yet continuous monitoring data on the carbon losses from such sites are very sparse, in part due to the challenge in instrumenting such remote and complex terrain with eddy covariance equipment. We present a full, pre-restoration, 18-month data series of carbon dioxide and energy budget from a typical Scottish eroded peatland and show initial data that suggests sensitivity of the sign of the net annual CO2 budget to interannual climate variability.
How to cite: Coyle, M., Morrison, R., Artz, R., Yeluripati, J., and Donaldson-Selby, G.: Pre-restoration carbon dioxide exchange and energy balance dynamics in an eroded upland blanket bog peatland, Scotland, UK, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20705, https://doi.org/10.5194/egusphere-egu2020-20705, 2020.
Greenhouse gas emissions from damaged peatlands in the UK contribute around 5% to the annual national UK emissions. This has prompted a large national effort to restore these ecosystems as part of the package of action that aims to deliver net zero by 2050 in the UK and 2045 in Scotland. Eroded peatlands cover an estimated 275kha in Scotland, yet continuous monitoring data on the carbon losses from such sites are very sparse, in part due to the challenge in instrumenting such remote and complex terrain with eddy covariance equipment. We present a full, pre-restoration, 18-month data series of carbon dioxide and energy budget from a typical Scottish eroded peatland and show initial data that suggests sensitivity of the sign of the net annual CO2 budget to interannual climate variability.
How to cite: Coyle, M., Morrison, R., Artz, R., Yeluripati, J., and Donaldson-Selby, G.: Pre-restoration carbon dioxide exchange and energy balance dynamics in an eroded upland blanket bog peatland, Scotland, UK, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20705, https://doi.org/10.5194/egusphere-egu2020-20705, 2020.
EGU2020-6222 | Displays | BG3.5 | Highlight
Cores for concern: Peatland carbon dynamics in a changing climate; a multidisciplinary approach.Luke Andrews, James Rowson, Richard Payne, Simon Caporn, Nancy Dise, Maria Gehrels, and Roland Gehrels
The effects of 21st century climate change are projected to be most severe in the northern hemisphere, where the majority of peatlands are located. Peatlands represent important long-term terrestrial stores of carbon (C), containing an estimated c.600-1055GT C, despite covering only 3% of total land area globally. In addition, pristine peatlands act as net sinks of atmospheric CO2, imparting a negative feedback mechanism cooling global climate, whilst simultaneously acting as sources of CO2 and CH4. Peatlands remain net sinks of C as long as the rate of carbon sequestration exceeds that of decomposition. Projected changes in temperature, precipitation and other environmental variables threaten to disrupt this precarious balance, however, and the future direction of carbon feedback mechanisms are poorly understood, due to the complex nature of the peatland carbon cycle.
Two methods are used in order to help understand future the carbon dynamics of peat bogs under climate change. These are experimental studies, which measure greenhouse gas fluxes under manipulated climatic and environmental conditions (warmer, drier), and palaeoecological studies, which examine the effects of past climate change upon carbon sequestration throughout the peat profile. However, both methods fundamentally contradict each other. Palaeoecological studies suggest that carbon accumulation increases during warming periods, whereas warming experiments observe greater carbon loss with increased temperature.
The aim of this project is to link contemporary experimental and palaeoecological approaches to explain this discrepancy. This will be achieved by comparing greenhouse gas fluxes between plots which have been subjected to 10 years of passive warming and drought simulation at an experimental climate manipulation site on Cors Fochno, Ceredigion, Wales. Long term rates of carbon accumulation will be compared with net ecosystem contemporary carbon budgets from each plot. Surface samples from each plot will be analysed by a range of palaeoenvironmental proxies to test how well the climate manipulations are represented by each proxy. Finally, a high-resolution multi-proxy palaeoenvironmental reconstruction spanning the past 1000 years will be compared with reconstructions derived from short-cores from each plot covering the duration of the experiment from each treatment, to see how faithfully climate manipulation mirrors real periods of climate change.
Understanding the future role of peatlands in future carbon sequestration and storage is of vital importance for modelling future climate change, in terms of both quantifying the potential ecosystem services peatlands may offer in mitigating the effects of climate change, as well as enhancing the predictive capabilities of global climate models. Currently, the uncertainty associated with peatland carbon cycling is such that peatlands are rarely included in global climate models.
How to cite: Andrews, L., Rowson, J., Payne, R., Caporn, S., Dise, N., Gehrels, M., and Gehrels, R.: Cores for concern: Peatland carbon dynamics in a changing climate; a multidisciplinary approach., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6222, https://doi.org/10.5194/egusphere-egu2020-6222, 2020.
The effects of 21st century climate change are projected to be most severe in the northern hemisphere, where the majority of peatlands are located. Peatlands represent important long-term terrestrial stores of carbon (C), containing an estimated c.600-1055GT C, despite covering only 3% of total land area globally. In addition, pristine peatlands act as net sinks of atmospheric CO2, imparting a negative feedback mechanism cooling global climate, whilst simultaneously acting as sources of CO2 and CH4. Peatlands remain net sinks of C as long as the rate of carbon sequestration exceeds that of decomposition. Projected changes in temperature, precipitation and other environmental variables threaten to disrupt this precarious balance, however, and the future direction of carbon feedback mechanisms are poorly understood, due to the complex nature of the peatland carbon cycle.
Two methods are used in order to help understand future the carbon dynamics of peat bogs under climate change. These are experimental studies, which measure greenhouse gas fluxes under manipulated climatic and environmental conditions (warmer, drier), and palaeoecological studies, which examine the effects of past climate change upon carbon sequestration throughout the peat profile. However, both methods fundamentally contradict each other. Palaeoecological studies suggest that carbon accumulation increases during warming periods, whereas warming experiments observe greater carbon loss with increased temperature.
The aim of this project is to link contemporary experimental and palaeoecological approaches to explain this discrepancy. This will be achieved by comparing greenhouse gas fluxes between plots which have been subjected to 10 years of passive warming and drought simulation at an experimental climate manipulation site on Cors Fochno, Ceredigion, Wales. Long term rates of carbon accumulation will be compared with net ecosystem contemporary carbon budgets from each plot. Surface samples from each plot will be analysed by a range of palaeoenvironmental proxies to test how well the climate manipulations are represented by each proxy. Finally, a high-resolution multi-proxy palaeoenvironmental reconstruction spanning the past 1000 years will be compared with reconstructions derived from short-cores from each plot covering the duration of the experiment from each treatment, to see how faithfully climate manipulation mirrors real periods of climate change.
Understanding the future role of peatlands in future carbon sequestration and storage is of vital importance for modelling future climate change, in terms of both quantifying the potential ecosystem services peatlands may offer in mitigating the effects of climate change, as well as enhancing the predictive capabilities of global climate models. Currently, the uncertainty associated with peatland carbon cycling is such that peatlands are rarely included in global climate models.
How to cite: Andrews, L., Rowson, J., Payne, R., Caporn, S., Dise, N., Gehrels, M., and Gehrels, R.: Cores for concern: Peatland carbon dynamics in a changing climate; a multidisciplinary approach., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6222, https://doi.org/10.5194/egusphere-egu2020-6222, 2020.
EGU2020-6602 | Displays | BG3.5
Experimental approach to study the climate effects from drained peatland restaurationAndreas Ibrom, Norbert Pirk, Klaus Steenberg Larsen, Paula Anna Kindler, and Poul Larsen
Peatlands have been traditionally drained to increase productivity. Aeration of the topsoil increases decomposition of peat, which results in increased CO2 emissions contributing to warming of the global climate. Peatland restauration tries to reestablish the natural state by blocking the drainage and increasing the ground water table. Two questions arise, whether the establishment of anaerobic conditions in the peat will increase methane production and whether the net CO2 uptake by plants will be reduced, both of which offsetting the anticipated positive climate effect from peatland restauration. In order to claim a positive climate effect from peatland restauration, the effect on the total greenhouse gas (GHG) balance must be demonstrated[VH1] at different time scales.
In a new project in Norway (close to Trysil, Innlandet), we established a paired plot design in an ombrotrophic bog, where one of the two plots will be restored, while the other will remain drained. The two sites differ slightly in elevation and lie 1.5 km apart from each other. We report results from the first phase of the experiment, i.e. examining the comparability of the two plots. We use eddy covariance and ecosystem chambers to measure CO2, CH4 and N2O fluxes.
While the CO2 fluxes are remarkably similar between the two plots, the CH4 fluxes tend to be slightly higher in the lower of the two plots. With flux footprint simulations and spatio-temporal analysis of the chamber flux measurements it is examined, whether these differences are caused by small scale horizontal heterogeneity, i.e. by CH4 emission hotspots, or whether these are a general feature of the lower experimental site. Options to improve the comparability of the two experimental plots, namely source area filtering versus relational approaches will be discussed.
The methodology that is developed in the project is relevant for monitoring, reporting and verification of climate change mitigation measures within terrestrial ecosystems.
Acknowledgements:
The project is funded by the Norwegian Environment Agency (Miljødirektoratet), Oslo, Norway, (project number 18088061).
How to cite: Ibrom, A., Pirk, N., Steenberg Larsen, K., Kindler, P. A., and Larsen, P.: Experimental approach to study the climate effects from drained peatland restauration, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6602, https://doi.org/10.5194/egusphere-egu2020-6602, 2020.
Peatlands have been traditionally drained to increase productivity. Aeration of the topsoil increases decomposition of peat, which results in increased CO2 emissions contributing to warming of the global climate. Peatland restauration tries to reestablish the natural state by blocking the drainage and increasing the ground water table. Two questions arise, whether the establishment of anaerobic conditions in the peat will increase methane production and whether the net CO2 uptake by plants will be reduced, both of which offsetting the anticipated positive climate effect from peatland restauration. In order to claim a positive climate effect from peatland restauration, the effect on the total greenhouse gas (GHG) balance must be demonstrated[VH1] at different time scales.
In a new project in Norway (close to Trysil, Innlandet), we established a paired plot design in an ombrotrophic bog, where one of the two plots will be restored, while the other will remain drained. The two sites differ slightly in elevation and lie 1.5 km apart from each other. We report results from the first phase of the experiment, i.e. examining the comparability of the two plots. We use eddy covariance and ecosystem chambers to measure CO2, CH4 and N2O fluxes.
While the CO2 fluxes are remarkably similar between the two plots, the CH4 fluxes tend to be slightly higher in the lower of the two plots. With flux footprint simulations and spatio-temporal analysis of the chamber flux measurements it is examined, whether these differences are caused by small scale horizontal heterogeneity, i.e. by CH4 emission hotspots, or whether these are a general feature of the lower experimental site. Options to improve the comparability of the two experimental plots, namely source area filtering versus relational approaches will be discussed.
The methodology that is developed in the project is relevant for monitoring, reporting and verification of climate change mitigation measures within terrestrial ecosystems.
Acknowledgements:
The project is funded by the Norwegian Environment Agency (Miljødirektoratet), Oslo, Norway, (project number 18088061).
How to cite: Ibrom, A., Pirk, N., Steenberg Larsen, K., Kindler, P. A., and Larsen, P.: Experimental approach to study the climate effects from drained peatland restauration, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6602, https://doi.org/10.5194/egusphere-egu2020-6602, 2020.
EGU2020-7329 | Displays | BG3.5 | Highlight
Effect of the 2018 drought on methane and carbon dioxide exchange of northern mire ecosystemsJanne Rinne, Juha-Pekka Tuovinen, Leif Klemendtsson, Mika Aurela, Jutta Holst, Annalea Lohila, Per Weslien, Patrik Vestin, Matthias Peichl, Eeva-Stiina Tuittila, Lauri Heiskanen, Tuomas Laurila, Xuefei Li, Pavel Alekseychik, Ivan Mammarella, Lena Ström, Patrick Crill, and Mats Nilsson
In 2018, North-Western Europe experienced very dry and warm summer. These conditions can have considerable effects on the functioning and greenhouse gas exchange of terrestrial ecosystems. Peat-forming wetlands, or mires, are a characteristic component of the North-European boreal landscape, and crucial for long-term carbon storage as well as for methane emission. We have analyzed the effect of the drought on greenhouse gas (GHG) exchange of five North European mire ecosystems in Sweden and Finland in 2018. The low precipitation and high summer temperatures in Fennoscandia led to a lowered water table in majority of the mires. This lowered both carbon dioxide (CO2) uptake and methane (CH4) emission during 2018, turning many of the mires from CO2sinks to sources during this year. The changes in methane emission and total GHG exchange, expressed as CO2equivalent, were significantly correlated with change in water table position. The calculated time-evolving radiative forcing due to the changes in GHG fluxes in 2018 showed that the drought-induced changes in GHG fluxes first resulted in a cooling effect lasting 15-50 years, due to the lowered CH4emission, which was followed by longer-term warming phase due to the lower CO2 uptake in 2018.
How to cite: Rinne, J., Tuovinen, J.-P., Klemendtsson, L., Aurela, M., Holst, J., Lohila, A., Weslien, P., Vestin, P., Peichl, M., Tuittila, E.-S., Heiskanen, L., Laurila, T., Li, X., Alekseychik, P., Mammarella, I., Ström, L., Crill, P., and Nilsson, M.: Effect of the 2018 drought on methane and carbon dioxide exchange of northern mire ecosystems, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7329, https://doi.org/10.5194/egusphere-egu2020-7329, 2020.
In 2018, North-Western Europe experienced very dry and warm summer. These conditions can have considerable effects on the functioning and greenhouse gas exchange of terrestrial ecosystems. Peat-forming wetlands, or mires, are a characteristic component of the North-European boreal landscape, and crucial for long-term carbon storage as well as for methane emission. We have analyzed the effect of the drought on greenhouse gas (GHG) exchange of five North European mire ecosystems in Sweden and Finland in 2018. The low precipitation and high summer temperatures in Fennoscandia led to a lowered water table in majority of the mires. This lowered both carbon dioxide (CO2) uptake and methane (CH4) emission during 2018, turning many of the mires from CO2sinks to sources during this year. The changes in methane emission and total GHG exchange, expressed as CO2equivalent, were significantly correlated with change in water table position. The calculated time-evolving radiative forcing due to the changes in GHG fluxes in 2018 showed that the drought-induced changes in GHG fluxes first resulted in a cooling effect lasting 15-50 years, due to the lowered CH4emission, which was followed by longer-term warming phase due to the lower CO2 uptake in 2018.
How to cite: Rinne, J., Tuovinen, J.-P., Klemendtsson, L., Aurela, M., Holst, J., Lohila, A., Weslien, P., Vestin, P., Peichl, M., Tuittila, E.-S., Heiskanen, L., Laurila, T., Li, X., Alekseychik, P., Mammarella, I., Ström, L., Crill, P., and Nilsson, M.: Effect of the 2018 drought on methane and carbon dioxide exchange of northern mire ecosystems, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7329, https://doi.org/10.5194/egusphere-egu2020-7329, 2020.
EGU2020-7655 | Displays | BG3.5
Long-term human impact on alluvial peatland dynamics in temperate climatesWard Swinnen, Nils Broothaerts, and Gert Verstraeten
Peatlands across the globe are experiencing external pressures such as land use change, drainage and climatic changes, but are also directly impacted e.g. through peat harvesting. As a result, the dynamics of these peatlands, and their role in long-term carbon storage, has changed. In contrast to many other regions around the globe, temperate Europe has known a long history of human impact. In the northwest European lowlands, peat growth occurs mostly in floodplains under the form of alluvial peatlands. In central Belgian river valleys, alluvial peatlands developed since the Early Holocene, with a typical peat thickness between 1.5 and 2.5 metres, but reaching values of more than 6 metres at some locations.
Alluvial peatlands therefore are an important store of soil organic carbon reaching values of up to 2754 t ha-1, thus providing an important ecosystem service. However, the fate of this carbon reservoir is challenged through many different types of human actions since at least the Middle Ages including peat cutting for fuel, drainage for land reclamation and changes in catchment hydrology through land use change. For instance, a comparison of field-based peatland carbon budgets for different river valleys indicates that floodplains where cutting of topsoil peat has been important in the Late Holocene, store significantly less carbon (729 ± 397 t ha-1) than floodplains where Early to Mid-Holocene peat has been buried by mineral sediments originating from agricultural erosion on hillslopes (1991 ± 877 t ha-1). Adequate modelling can provide a powerful tool to study peatland dynamics and the interaction between internal and external processes in peatlands, but unfortunately, there are currently no available modelling tools to study the long-term dynamics of alluvial peatlands.
A long-term peatland model (Digibog) was adapted to be applicable to the context of alluvial peatlands. Changes were made to both the hydrological and biological modules to include variations in the river water level, flooding, anthropogenic peat cutting and a wide variety of vegetation types, ranging from open meadows to carr forests. In a first step, the Holocene evolution of an alluvial peatland was simulated under the conditions which were typical for lowland Belgium to provide a Holocene peat sequence with an annual resolution. In a second step, this peatland was subjected to a wide set of alternative management scenarios that have been in place since the Middle Ages. The simulations allow to estimate the effect of these scenarios on the peatland dynamics in terms of peatland hydrology, productivity and carbon storage. Based on this modelling study, the sensitivity of these systems to human activities can be quantified. The resultant magnitudes and rates of change under different scenarios can provide useful information for future management of alluvial peatlands and a better understanding of long-term peatland dynamics in general.
How to cite: Swinnen, W., Broothaerts, N., and Verstraeten, G.: Long-term human impact on alluvial peatland dynamics in temperate climates, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7655, https://doi.org/10.5194/egusphere-egu2020-7655, 2020.
Peatlands across the globe are experiencing external pressures such as land use change, drainage and climatic changes, but are also directly impacted e.g. through peat harvesting. As a result, the dynamics of these peatlands, and their role in long-term carbon storage, has changed. In contrast to many other regions around the globe, temperate Europe has known a long history of human impact. In the northwest European lowlands, peat growth occurs mostly in floodplains under the form of alluvial peatlands. In central Belgian river valleys, alluvial peatlands developed since the Early Holocene, with a typical peat thickness between 1.5 and 2.5 metres, but reaching values of more than 6 metres at some locations.
Alluvial peatlands therefore are an important store of soil organic carbon reaching values of up to 2754 t ha-1, thus providing an important ecosystem service. However, the fate of this carbon reservoir is challenged through many different types of human actions since at least the Middle Ages including peat cutting for fuel, drainage for land reclamation and changes in catchment hydrology through land use change. For instance, a comparison of field-based peatland carbon budgets for different river valleys indicates that floodplains where cutting of topsoil peat has been important in the Late Holocene, store significantly less carbon (729 ± 397 t ha-1) than floodplains where Early to Mid-Holocene peat has been buried by mineral sediments originating from agricultural erosion on hillslopes (1991 ± 877 t ha-1). Adequate modelling can provide a powerful tool to study peatland dynamics and the interaction between internal and external processes in peatlands, but unfortunately, there are currently no available modelling tools to study the long-term dynamics of alluvial peatlands.
A long-term peatland model (Digibog) was adapted to be applicable to the context of alluvial peatlands. Changes were made to both the hydrological and biological modules to include variations in the river water level, flooding, anthropogenic peat cutting and a wide variety of vegetation types, ranging from open meadows to carr forests. In a first step, the Holocene evolution of an alluvial peatland was simulated under the conditions which were typical for lowland Belgium to provide a Holocene peat sequence with an annual resolution. In a second step, this peatland was subjected to a wide set of alternative management scenarios that have been in place since the Middle Ages. The simulations allow to estimate the effect of these scenarios on the peatland dynamics in terms of peatland hydrology, productivity and carbon storage. Based on this modelling study, the sensitivity of these systems to human activities can be quantified. The resultant magnitudes and rates of change under different scenarios can provide useful information for future management of alluvial peatlands and a better understanding of long-term peatland dynamics in general.
How to cite: Swinnen, W., Broothaerts, N., and Verstraeten, G.: Long-term human impact on alluvial peatland dynamics in temperate climates, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7655, https://doi.org/10.5194/egusphere-egu2020-7655, 2020.
EGU2020-8836 | Displays | BG3.5
Using remote sensing to monitor peatland fire occurrence and recoveryKirsten Lees, Josh Buxton, Chris Boulton, and Tim Lenton
Many peatland areas in Great Britain are managed as grouse moors, with regular burns as part of management practice to encourage heather growth. Remote sensing has the potential to monitor the size, location, and impact of these burns using new fine resolution satellites such as Sentinel-2. Google Earth Engine allows large areas to be analysed at small scale over several years, building up a visual record of fire occurrence. This study uses satellite data to map managed burns on several areas of moorland around Great Britain, and uses remote sensing methods to assess the impact of this management strategy on vegetation cover. The project also considers how areas subject to managed burns react to wildfire occurrence, with the 2018 Saddleworth wildfire as a case study.
How to cite: Lees, K., Buxton, J., Boulton, C., and Lenton, T.: Using remote sensing to monitor peatland fire occurrence and recovery, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8836, https://doi.org/10.5194/egusphere-egu2020-8836, 2020.
Many peatland areas in Great Britain are managed as grouse moors, with regular burns as part of management practice to encourage heather growth. Remote sensing has the potential to monitor the size, location, and impact of these burns using new fine resolution satellites such as Sentinel-2. Google Earth Engine allows large areas to be analysed at small scale over several years, building up a visual record of fire occurrence. This study uses satellite data to map managed burns on several areas of moorland around Great Britain, and uses remote sensing methods to assess the impact of this management strategy on vegetation cover. The project also considers how areas subject to managed burns react to wildfire occurrence, with the 2018 Saddleworth wildfire as a case study.
How to cite: Lees, K., Buxton, J., Boulton, C., and Lenton, T.: Using remote sensing to monitor peatland fire occurrence and recovery, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8836, https://doi.org/10.5194/egusphere-egu2020-8836, 2020.
EGU2020-9842 | Displays | BG3.5
Carbon dynamics and full carbon balance of a Northern mire ecosystemPatrik Vestin, Per Weslien, Marcus Wallin, David Bastviken, Natascha Kljun, Johannes Edvardsson, Jutta Holst, Anders Lindroth, Patrick Crill, Janne Rinne, and Leif Klemedtsson
We present the Net Ecosystem Carbon Balance (NECB) of a Northern mire ecosystem for the period 2016-2019. The Mycklemossen peatland is located in the hemi-boreal region in the Southwestern part of Sweden and is classified as a fen with bog-like vegetation. The NECB was determined from eddy covariance (EC) measurements of carbon dioxide (CO2) and methane (CH4) and continuous water discharge measurements with biweekly measurements of dissolved organic carbon (DOC), dissolved inorganic carbon (DIC) and dissolved CH4.
We focus on the carbon dynamics of the Mycklemossen ecosystem during summer droughts and on its recovery during normal years. During 2016-2018, the annual precipitation was lower than the 30-year average while 2019 was a normal year in terms of weather conditions. 2018 sticks out as an extreme year with a severe drought and unusually high air temperature at Mycklemossen, as was the case in much of Northern and Central Europe.
The EC results indicate that Mycklemossen lost carbon during 2016-2018. While CH4 emissions decreased, the mire became a strong source of CO2 these years, especially 2018. There were also large losses of DOC during this period, which were further enhanced during 2019.
How to cite: Vestin, P., Weslien, P., Wallin, M., Bastviken, D., Kljun, N., Edvardsson, J., Holst, J., Lindroth, A., Crill, P., Rinne, J., and Klemedtsson, L.: Carbon dynamics and full carbon balance of a Northern mire ecosystem, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9842, https://doi.org/10.5194/egusphere-egu2020-9842, 2020.
We present the Net Ecosystem Carbon Balance (NECB) of a Northern mire ecosystem for the period 2016-2019. The Mycklemossen peatland is located in the hemi-boreal region in the Southwestern part of Sweden and is classified as a fen with bog-like vegetation. The NECB was determined from eddy covariance (EC) measurements of carbon dioxide (CO2) and methane (CH4) and continuous water discharge measurements with biweekly measurements of dissolved organic carbon (DOC), dissolved inorganic carbon (DIC) and dissolved CH4.
We focus on the carbon dynamics of the Mycklemossen ecosystem during summer droughts and on its recovery during normal years. During 2016-2018, the annual precipitation was lower than the 30-year average while 2019 was a normal year in terms of weather conditions. 2018 sticks out as an extreme year with a severe drought and unusually high air temperature at Mycklemossen, as was the case in much of Northern and Central Europe.
The EC results indicate that Mycklemossen lost carbon during 2016-2018. While CH4 emissions decreased, the mire became a strong source of CO2 these years, especially 2018. There were also large losses of DOC during this period, which were further enhanced during 2019.
How to cite: Vestin, P., Weslien, P., Wallin, M., Bastviken, D., Kljun, N., Edvardsson, J., Holst, J., Lindroth, A., Crill, P., Rinne, J., and Klemedtsson, L.: Carbon dynamics and full carbon balance of a Northern mire ecosystem, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9842, https://doi.org/10.5194/egusphere-egu2020-9842, 2020.
EGU2020-13187 | Displays | BG3.5
Carbon flux response and recovery to drought years in a hemi-boreal peat bog between different vegetation typesJames Benjamin Keane, Sylvia Toet, Phil Ineson, Per Weslien, and Leif Klemedtsson
Peatlands are a globally important store of approximately 500 Gt carbon (C), with northern blanket bogs accumulating ca. 23 g C m-2 y-1 from undecomposed organic material due to prevailing cool wet conditions. As a sink of carbon dioxide (CO2) they act as an important brake on anthropogenic climate change, but in the warming climate the likelihood of drought will increase. However, it is unknown how drought will affect the GHG balance of peatlands: dryer, warmer conditions will likely reduce net ecosystem exchange (NEE) of CO2 and increase soil respiration, potentially tipping these landscapes from sinks to sources of C. High water tables mean blanket bogs are major source of methane (CH4), an important greenhouse gas (GHG) with a global warming potential (GWP) 34 times that of CO2 over 100 years, but this may change in the future climate. It is further expected that the changing climate will alter blanket bog species composition, which may also influence the GHG balance, due to differences in plant traits such as those which form aerenchyma, e.g. Eriophorum vaginatum (eriophorum) and non-aerenchymatous species, e.g. Calluna vulgaris (heather). In order to understand how these important C stores will respond to climate change, it is vital to measure GHG responses to drought at the species level.
We used an automated chamber system, SkyLine2D, to measure NEE and CH4 fluxes near-continuously from an ombrotrophic blanket peat bog. Five general ecotypes were identified: sphagnum (Sphagnum spp), eriophorum, heather, water and mixtures of species, with five replicates of each sampled. We followed the fluxes of CO2 throughout 2017- 2019 and CH4 throughout 2017- 2018, hypothesising that GHG fluxes would significantly differ between ecotypes. In 2018, the bog experienced drought conditions, allowing the comparison of NEE between drought and non-drought years, and the potential to recover the following year. Contemporaneous measurements of environmental variables were collected to infer details regarding the drivers of GHG fluxes.
We found significant differences in CH4 emissions between ecotypes, F= 2.71, p< 0.02, ordered high to low: eriophorum > sphagnum > water > heather> mix, ranging from ca. 1.5 mg CH4-C m-2 d-1 to 0.5 mg CH4-C m-2 d-1. There were no significant differences in NEE between ecotypes, F= 0.54, p> 0.7, however, under 2018 drought conditions all ecotypes were net sources of CO2. We will also present NEE from 2019, when precipitation levels returned to typical conditions. Our results indicate that drought and shifts in vegetation composition under future climate may alter the C balance of hemi-boreal and potentially act as a positive feedback to climate change in a long-term scenario.
How to cite: Keane, J. B., Toet, S., Ineson, P., Weslien, P., and Klemedtsson, L.: Carbon flux response and recovery to drought years in a hemi-boreal peat bog between different vegetation types, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13187, https://doi.org/10.5194/egusphere-egu2020-13187, 2020.
Peatlands are a globally important store of approximately 500 Gt carbon (C), with northern blanket bogs accumulating ca. 23 g C m-2 y-1 from undecomposed organic material due to prevailing cool wet conditions. As a sink of carbon dioxide (CO2) they act as an important brake on anthropogenic climate change, but in the warming climate the likelihood of drought will increase. However, it is unknown how drought will affect the GHG balance of peatlands: dryer, warmer conditions will likely reduce net ecosystem exchange (NEE) of CO2 and increase soil respiration, potentially tipping these landscapes from sinks to sources of C. High water tables mean blanket bogs are major source of methane (CH4), an important greenhouse gas (GHG) with a global warming potential (GWP) 34 times that of CO2 over 100 years, but this may change in the future climate. It is further expected that the changing climate will alter blanket bog species composition, which may also influence the GHG balance, due to differences in plant traits such as those which form aerenchyma, e.g. Eriophorum vaginatum (eriophorum) and non-aerenchymatous species, e.g. Calluna vulgaris (heather). In order to understand how these important C stores will respond to climate change, it is vital to measure GHG responses to drought at the species level.
We used an automated chamber system, SkyLine2D, to measure NEE and CH4 fluxes near-continuously from an ombrotrophic blanket peat bog. Five general ecotypes were identified: sphagnum (Sphagnum spp), eriophorum, heather, water and mixtures of species, with five replicates of each sampled. We followed the fluxes of CO2 throughout 2017- 2019 and CH4 throughout 2017- 2018, hypothesising that GHG fluxes would significantly differ between ecotypes. In 2018, the bog experienced drought conditions, allowing the comparison of NEE between drought and non-drought years, and the potential to recover the following year. Contemporaneous measurements of environmental variables were collected to infer details regarding the drivers of GHG fluxes.
We found significant differences in CH4 emissions between ecotypes, F= 2.71, p< 0.02, ordered high to low: eriophorum > sphagnum > water > heather> mix, ranging from ca. 1.5 mg CH4-C m-2 d-1 to 0.5 mg CH4-C m-2 d-1. There were no significant differences in NEE between ecotypes, F= 0.54, p> 0.7, however, under 2018 drought conditions all ecotypes were net sources of CO2. We will also present NEE from 2019, when precipitation levels returned to typical conditions. Our results indicate that drought and shifts in vegetation composition under future climate may alter the C balance of hemi-boreal and potentially act as a positive feedback to climate change in a long-term scenario.
How to cite: Keane, J. B., Toet, S., Ineson, P., Weslien, P., and Klemedtsson, L.: Carbon flux response and recovery to drought years in a hemi-boreal peat bog between different vegetation types, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13187, https://doi.org/10.5194/egusphere-egu2020-13187, 2020.
EGU2020-17989 | Displays | BG3.5
Impact of reduced precipitation and increased temperature on CH4 emission from peatland in Western PolandMarcin Strozecki, Anshu Rastogi, Bogdan Chojnicki, Jacek Leśny, Marek Urbaniak, Janusz Olejnik, Anna Basińska, Mariusz Lamentowicz, Dominika Łuców, Maciej Gąbka, Damian Józefczyk, Mateusz Samson, Mathias Hoffmann, Hanna Silvennoinen, and Radosław Juszczak
Peatlands play a key role in the global carbon cycle and the greenhouse gas balance of the biosphere, due to the amount of stored organic carbon and rather big methane (CH4) emissions. Climate change can make these very valuable and vulnerable ecosystems a net emitter of greenhouse gases to the atmosphere. The question is however, how the anticipated climate changes may impact the methane emission. Will it decrease due to expected drier conditions, or other processes and factors may play a role leading to higher emissions? To answer this question we carried out a field climate manipulation experiment at Rzecin peatland in Poland to assess how, increased temperature and reduced precipitation may impact the CH4 emission. The field site consists of three times replicated treatments [control (CO); simulated warming (W); reduced precipitation (RP), and warming & RP (WRP)]. Temperature (T) was increased year around with infrared heaters (400Wx4 per site), while precipitation was reduced with an automatic curtain working during growth seasons at night. The average yearly peat (at 5 cm depth) and air temperatures (at 30 cm) increased at manipulated plots by ca. 1.0oC and 0.4oC, respectively, while the precipitation was reduced from 24% in 2017 to 38% in 2016. Methane and carbon dioxide fluxes were measured with an automated prototyped mobile chamber system equipped with LGR and Picarro gas analyzers.
Here we present data from three years; very dry and warm 2015 (417 mm, 9.5°C), more wet and colder 2016 (678 mm, 8.9°C) ad very wet and warm 2017 (929 mm, 9.3°C). The net CH4 emissions at the control site were at the same rate of 25 gC·m-2yr-1 for both 2015 and 2016 years, and significantly higher (by 55%) in the very wet 2017 (39 gCH4-C·m2·yr-1). This may indicate that 1) temperature and precipitation play a role in driving the methane emissions from peatland, 2) increase of methane emissions due to higher precipitation can be compensated by lower temperature leading to smaller emission, 3) at more wet and warm years methane emissions may be higher than presently. However, our manipulation clearly indicated that at manipulated sites (W, WRP and RP) methane fluxes were significantly higher (by 28%) than on control plots for both 2015 and 2016 years, while no significant differences between sites exposed for manipulation were found for wet and warm 2017 (although peat temperatures at W, WRD and RD were higher than on CO). This can indicate that in conditions of a high level of groundwater in peatland (due to high rainfall) the sensitivity of methane production processes to temperature changes caused by manipulations may be lower. On the other hand, we found that higher methane fluxes at the manipulated plots are significantly correlated to a higher biomass of vascular plants. This may indicate how important might be the plant species composition on peatland in defining the transport pathways of methane to the atmosphere and overall methane emissions with respect to anticipated climate change.
Research was funded within the NCN projects (017/25/N/ST10/02212, 72016/21/B/ST10/02271) and WETMAN project.
How to cite: Strozecki, M., Rastogi, A., Chojnicki, B., Leśny, J., Urbaniak, M., Olejnik, J., Basińska, A., Lamentowicz, M., Łuców, D., Gąbka, M., Józefczyk, D., Samson, M., Hoffmann, M., Silvennoinen, H., and Juszczak, R.: Impact of reduced precipitation and increased temperature on CH4 emission from peatland in Western Poland, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-17989, https://doi.org/10.5194/egusphere-egu2020-17989, 2020.
Peatlands play a key role in the global carbon cycle and the greenhouse gas balance of the biosphere, due to the amount of stored organic carbon and rather big methane (CH4) emissions. Climate change can make these very valuable and vulnerable ecosystems a net emitter of greenhouse gases to the atmosphere. The question is however, how the anticipated climate changes may impact the methane emission. Will it decrease due to expected drier conditions, or other processes and factors may play a role leading to higher emissions? To answer this question we carried out a field climate manipulation experiment at Rzecin peatland in Poland to assess how, increased temperature and reduced precipitation may impact the CH4 emission. The field site consists of three times replicated treatments [control (CO); simulated warming (W); reduced precipitation (RP), and warming & RP (WRP)]. Temperature (T) was increased year around with infrared heaters (400Wx4 per site), while precipitation was reduced with an automatic curtain working during growth seasons at night. The average yearly peat (at 5 cm depth) and air temperatures (at 30 cm) increased at manipulated plots by ca. 1.0oC and 0.4oC, respectively, while the precipitation was reduced from 24% in 2017 to 38% in 2016. Methane and carbon dioxide fluxes were measured with an automated prototyped mobile chamber system equipped with LGR and Picarro gas analyzers.
Here we present data from three years; very dry and warm 2015 (417 mm, 9.5°C), more wet and colder 2016 (678 mm, 8.9°C) ad very wet and warm 2017 (929 mm, 9.3°C). The net CH4 emissions at the control site were at the same rate of 25 gC·m-2yr-1 for both 2015 and 2016 years, and significantly higher (by 55%) in the very wet 2017 (39 gCH4-C·m2·yr-1). This may indicate that 1) temperature and precipitation play a role in driving the methane emissions from peatland, 2) increase of methane emissions due to higher precipitation can be compensated by lower temperature leading to smaller emission, 3) at more wet and warm years methane emissions may be higher than presently. However, our manipulation clearly indicated that at manipulated sites (W, WRP and RP) methane fluxes were significantly higher (by 28%) than on control plots for both 2015 and 2016 years, while no significant differences between sites exposed for manipulation were found for wet and warm 2017 (although peat temperatures at W, WRD and RD were higher than on CO). This can indicate that in conditions of a high level of groundwater in peatland (due to high rainfall) the sensitivity of methane production processes to temperature changes caused by manipulations may be lower. On the other hand, we found that higher methane fluxes at the manipulated plots are significantly correlated to a higher biomass of vascular plants. This may indicate how important might be the plant species composition on peatland in defining the transport pathways of methane to the atmosphere and overall methane emissions with respect to anticipated climate change.
Research was funded within the NCN projects (017/25/N/ST10/02212, 72016/21/B/ST10/02271) and WETMAN project.
How to cite: Strozecki, M., Rastogi, A., Chojnicki, B., Leśny, J., Urbaniak, M., Olejnik, J., Basińska, A., Lamentowicz, M., Łuców, D., Gąbka, M., Józefczyk, D., Samson, M., Hoffmann, M., Silvennoinen, H., and Juszczak, R.: Impact of reduced precipitation and increased temperature on CH4 emission from peatland in Western Poland, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-17989, https://doi.org/10.5194/egusphere-egu2020-17989, 2020.
BG3.6 – Plant traits, adaptation, and biogeochemical cycles – from measurements to models
EGU2020-794 | Displays | BG3.6
Using plant trait data to extend a theory of global ecosystem functionYunke Peng, Keith Bloomfield, Lucas Cernusak, Thomas Domingues, Jon Lloyd, and Iain Colin Prentice
There remains large uncertainty about the global exchanges of carbon between the atmosphere and the terrestrial biosphere under different environmental change scenarios. Ecosystem and Earth system models rely on photosynthetic capacity (maximum rates of carboxylation (Vcmax) and electron transport (Jmax)) to simulate carbon assimilation. Photosynthetic capacity has been related to environmental and climatic constraints, but also to leaf and soil nutrients. Views differ on which are more important.
We assembled and analysed a large dataset of global observations of photosynthetic and other leaf traits. Photosynthetic capacity was best predicted based on optimality hypotheses. Vcmax standardized to 25°C (Vcmax25) was proportional to light availability, and increased towards colder and drier environments – as expected due to the greater biochemical investment required at lower temperatures, or when stomata are more closed. The ratio Jmax25/ Vcmax25 declined with growth temperature (also predicted). However, theoretical predictions slightly underestimated Vcmax at high growth temperatures, and overestimated it at low growth temperatures. This bias might be due to the difference between leaf and air temperatures.
Statistical models for photosynthetic capacity (all species, and site means) overestimated Vcmax in low-P leaves. Analysis of a subset of the data showed that leaf P tends to increase with measured soil P. A relationship of model bias to leaf N appears in the all-species analysis – perhaps reflecting a correlation of Vcmax, leaf N and light levels within communities. But site-mean analysis showed no such bias, and leaf N showed no relationship to the soil C:N ratio. These results support a previously noted dependency of Vcmax on P availability; but not the control of Vcmax by N availability that has been assumed in many models.
How to cite: Peng, Y., Bloomfield, K., Cernusak, L., Domingues, T., Lloyd, J., and Prentice, I. C.: Using plant trait data to extend a theory of global ecosystem function, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-794, https://doi.org/10.5194/egusphere-egu2020-794, 2020.
There remains large uncertainty about the global exchanges of carbon between the atmosphere and the terrestrial biosphere under different environmental change scenarios. Ecosystem and Earth system models rely on photosynthetic capacity (maximum rates of carboxylation (Vcmax) and electron transport (Jmax)) to simulate carbon assimilation. Photosynthetic capacity has been related to environmental and climatic constraints, but also to leaf and soil nutrients. Views differ on which are more important.
We assembled and analysed a large dataset of global observations of photosynthetic and other leaf traits. Photosynthetic capacity was best predicted based on optimality hypotheses. Vcmax standardized to 25°C (Vcmax25) was proportional to light availability, and increased towards colder and drier environments – as expected due to the greater biochemical investment required at lower temperatures, or when stomata are more closed. The ratio Jmax25/ Vcmax25 declined with growth temperature (also predicted). However, theoretical predictions slightly underestimated Vcmax at high growth temperatures, and overestimated it at low growth temperatures. This bias might be due to the difference between leaf and air temperatures.
Statistical models for photosynthetic capacity (all species, and site means) overestimated Vcmax in low-P leaves. Analysis of a subset of the data showed that leaf P tends to increase with measured soil P. A relationship of model bias to leaf N appears in the all-species analysis – perhaps reflecting a correlation of Vcmax, leaf N and light levels within communities. But site-mean analysis showed no such bias, and leaf N showed no relationship to the soil C:N ratio. These results support a previously noted dependency of Vcmax on P availability; but not the control of Vcmax by N availability that has been assumed in many models.
How to cite: Peng, Y., Bloomfield, K., Cernusak, L., Domingues, T., Lloyd, J., and Prentice, I. C.: Using plant trait data to extend a theory of global ecosystem function, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-794, https://doi.org/10.5194/egusphere-egu2020-794, 2020.
EGU2020-4154 | Displays | BG3.6 | Highlight
Adapting an optimality-based model to predict half-hourly carbon uptake by ecosystemsGiulia Mengoli, Iain Colin Prentice, and Sandy P. Harrison
Carbon dioxide (CO2) uptake by leaves and its conversion into sugar by photosynthesis – gross primary production (GPP) – is the basis for vegetation growth. GPP is important for the carbon cycle, and its interactions with climate are a subject of study in Earth System modelling. One assumption of many current ecosystem models is that key photosynthetic traits, such as the capacities for carboxylation (Vcmax) and electron transport (Jmax) for ribulose-1,5-bisphosphate (RuBP) regeneration, are constant in time for any given plant functional type. Optimality theory predicts they should vary systematically with growth conditions, both in space and in time, and are not necessarily depend on the plant functional type. Moreover, theory makes specific, quantitative predictions about their (acclimated) community-mean values, predictions well supported by evidence. Neglecting such acclimation could lead to incorrect model estimates of the responses of primary production to climate change.
We focus on a proof-of-concept based on a primary production model, the P-model – which combines the Farquhar-von Caemmerer-Berry model for C3 photosynthesis with eco-evolutionary optimality principles for the co-optimization of carboxylation and water transport costs – to allow the model to reproduce short-term variations in photosynthesis and transpiration as well as longer-term, acclimated variations. Key to this effort is explicitly separating the instantaneous responses of photosynthetic rates, and the slower acclimation of photosynthetic traits. The model also includes a dynamic optimization of stomatal conductance via the ci:ca ratio, which separates the rapid response to vapour pressure deficit (VPD) from a slower, acclimated response of the single parameter (ξ) of the stomatal optimality model to growth temperature.
A day-by-day diagnostic investigation has been carried out in order to optimize the behaviour of the resulting model at a half-hourly timestep. The model reproduces well the daily variations of GPP evaluated against FLUXNET observations, when forced with site-specific, half-hourly meteorological data from flux towers, and satellite data on the slowly varying fractional absorbed photosynthetically active radiation (fAPAR). Our approach accounts for the memory effect of past environmental conditions on photosynthetic traits, by introducing a daily average computation of temperature, solar radiation, VPD, CO2 concentration and elevation. The results show that plants coordinate their biochemical capacities to match the maximum level of light during a day, optimizing to conditions near midday, when light is greatest. This is consistent with an interpretation of the co-limitation theory, whereby the Vcmax and Jmax of leaves at any canopy level acclimate to the prevailing incident light. One implication is that the canopy is light-limited for most of the time. This is strongly supported by the diurnal time-course of observed GPP.
How to cite: Mengoli, G., Prentice, I. C., and Harrison, S. P.: Adapting an optimality-based model to predict half-hourly carbon uptake by ecosystems, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4154, https://doi.org/10.5194/egusphere-egu2020-4154, 2020.
Carbon dioxide (CO2) uptake by leaves and its conversion into sugar by photosynthesis – gross primary production (GPP) – is the basis for vegetation growth. GPP is important for the carbon cycle, and its interactions with climate are a subject of study in Earth System modelling. One assumption of many current ecosystem models is that key photosynthetic traits, such as the capacities for carboxylation (Vcmax) and electron transport (Jmax) for ribulose-1,5-bisphosphate (RuBP) regeneration, are constant in time for any given plant functional type. Optimality theory predicts they should vary systematically with growth conditions, both in space and in time, and are not necessarily depend on the plant functional type. Moreover, theory makes specific, quantitative predictions about their (acclimated) community-mean values, predictions well supported by evidence. Neglecting such acclimation could lead to incorrect model estimates of the responses of primary production to climate change.
We focus on a proof-of-concept based on a primary production model, the P-model – which combines the Farquhar-von Caemmerer-Berry model for C3 photosynthesis with eco-evolutionary optimality principles for the co-optimization of carboxylation and water transport costs – to allow the model to reproduce short-term variations in photosynthesis and transpiration as well as longer-term, acclimated variations. Key to this effort is explicitly separating the instantaneous responses of photosynthetic rates, and the slower acclimation of photosynthetic traits. The model also includes a dynamic optimization of stomatal conductance via the ci:ca ratio, which separates the rapid response to vapour pressure deficit (VPD) from a slower, acclimated response of the single parameter (ξ) of the stomatal optimality model to growth temperature.
A day-by-day diagnostic investigation has been carried out in order to optimize the behaviour of the resulting model at a half-hourly timestep. The model reproduces well the daily variations of GPP evaluated against FLUXNET observations, when forced with site-specific, half-hourly meteorological data from flux towers, and satellite data on the slowly varying fractional absorbed photosynthetically active radiation (fAPAR). Our approach accounts for the memory effect of past environmental conditions on photosynthetic traits, by introducing a daily average computation of temperature, solar radiation, VPD, CO2 concentration and elevation. The results show that plants coordinate their biochemical capacities to match the maximum level of light during a day, optimizing to conditions near midday, when light is greatest. This is consistent with an interpretation of the co-limitation theory, whereby the Vcmax and Jmax of leaves at any canopy level acclimate to the prevailing incident light. One implication is that the canopy is light-limited for most of the time. This is strongly supported by the diurnal time-course of observed GPP.
How to cite: Mengoli, G., Prentice, I. C., and Harrison, S. P.: Adapting an optimality-based model to predict half-hourly carbon uptake by ecosystems, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4154, https://doi.org/10.5194/egusphere-egu2020-4154, 2020.
EGU2020-5589 | Displays | BG3.6
Tree crown economics: testing and scaling a functional-trait based theoryBrenden McNeil
The relationship of tree form and function has long fascinated humans, and now, much of our ability to improve maps and forecasts of the vital interactions of forests and global change hinges on our ability to understand this adaptive tree crown architecture. To help address this challenge, I revisit Henry Horn’s classic 1971 monograph “The Adaptive Geometry of Trees”, and blend his theoretical framework with a contemporary ecological theory of species’ functional traits. Then, I describe how this trait-based theory tree crown architecture can be robustly tested using state-of-the-art hyper-remote sensing techniques. This suite of imaging techniques from hyper-spatial (e.g. UAV and satellite imagery), hyper-spectral (e.g. AVIRIS imagery), hyper-temporal (e.g. phenocams and tree- or tower-mounted time-lapse cameras), and hyper-dimensional (terrestrial and UAV LiDAR) sensors now enables us to visualize and measure the spectral and architectural properties of individual trees with unprecedented accuracy and precision. Through analysis of hyper-remote sensing datasets collected in forests across eastern North America, I highlight how this testable trait-based theory of tree crown economics is already providing fresh insights into several important, but heretofore unresolved patterns of spatial and temporal variability in forest functioning.
How to cite: McNeil, B.: Tree crown economics: testing and scaling a functional-trait based theory, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5589, https://doi.org/10.5194/egusphere-egu2020-5589, 2020.
The relationship of tree form and function has long fascinated humans, and now, much of our ability to improve maps and forecasts of the vital interactions of forests and global change hinges on our ability to understand this adaptive tree crown architecture. To help address this challenge, I revisit Henry Horn’s classic 1971 monograph “The Adaptive Geometry of Trees”, and blend his theoretical framework with a contemporary ecological theory of species’ functional traits. Then, I describe how this trait-based theory tree crown architecture can be robustly tested using state-of-the-art hyper-remote sensing techniques. This suite of imaging techniques from hyper-spatial (e.g. UAV and satellite imagery), hyper-spectral (e.g. AVIRIS imagery), hyper-temporal (e.g. phenocams and tree- or tower-mounted time-lapse cameras), and hyper-dimensional (terrestrial and UAV LiDAR) sensors now enables us to visualize and measure the spectral and architectural properties of individual trees with unprecedented accuracy and precision. Through analysis of hyper-remote sensing datasets collected in forests across eastern North America, I highlight how this testable trait-based theory of tree crown economics is already providing fresh insights into several important, but heretofore unresolved patterns of spatial and temporal variability in forest functioning.
How to cite: McNeil, B.: Tree crown economics: testing and scaling a functional-trait based theory, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5589, https://doi.org/10.5194/egusphere-egu2020-5589, 2020.
EGU2020-8670 | Displays | BG3.6
Time for a Plant Structural Economics SpectrumHans Verbeeck, Marijn Bauters, Jackson Toby, Alexander Schenkin, Mathias Disney, and Kim Calders
We argue that tree and crown structural diversity can and should be integrated in the whole-plant economics spectrum. Ecologists have found that certain functional trait combinations have been more viable than others during evolution, generating a trait trade-off continuum which can be summarized along a few axes of variation, such as the “worldwide leaf economics spectrum” and the “wood economics spectrum”. However, for woody plants the crown structural diversity should be included as well in the recently introduced “global spectrum of plant form and function”, which now merely focusses on plant height as structural factor. The recent revolution in terrestrial laser scanning (TLS) unlocks the possibility to describe the three dimensional structure of trees quantitatively with unprecedented detail. We demonstrate that based on TLS data, a multidimensional structural trait space can be constructed, which can be decomposed into a few descriptive axes or spectra. We conclude that the time has come to develop a “structural economics spectrum” for woody plants based on structural trait data across the globe. We make suggestions as to what structural features might lie on this spectrum and how these might help improve our understanding of tree form-function relationships.
How to cite: Verbeeck, H., Bauters, M., Toby, J., Schenkin, A., Disney, M., and Calders, K.: Time for a Plant Structural Economics Spectrum, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8670, https://doi.org/10.5194/egusphere-egu2020-8670, 2020.
We argue that tree and crown structural diversity can and should be integrated in the whole-plant economics spectrum. Ecologists have found that certain functional trait combinations have been more viable than others during evolution, generating a trait trade-off continuum which can be summarized along a few axes of variation, such as the “worldwide leaf economics spectrum” and the “wood economics spectrum”. However, for woody plants the crown structural diversity should be included as well in the recently introduced “global spectrum of plant form and function”, which now merely focusses on plant height as structural factor. The recent revolution in terrestrial laser scanning (TLS) unlocks the possibility to describe the three dimensional structure of trees quantitatively with unprecedented detail. We demonstrate that based on TLS data, a multidimensional structural trait space can be constructed, which can be decomposed into a few descriptive axes or spectra. We conclude that the time has come to develop a “structural economics spectrum” for woody plants based on structural trait data across the globe. We make suggestions as to what structural features might lie on this spectrum and how these might help improve our understanding of tree form-function relationships.
How to cite: Verbeeck, H., Bauters, M., Toby, J., Schenkin, A., Disney, M., and Calders, K.: Time for a Plant Structural Economics Spectrum, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8670, https://doi.org/10.5194/egusphere-egu2020-8670, 2020.
EGU2020-9687 | Displays | BG3.6
Towards a unified theory of plant photosynthesis and hydraulicsJaideep Joshi, Ulf Dieckmann, and Iain Colin Prentice
Increasing frequencies and intensities of droughts are projected for many regions of the Earth. Water stress leads to a decline in the gross primary productivity (GPP) of plants. Plant responses to water stress vary with timescale, and plants adapted to different environments differ in their responses. Here, we present a unified theory of plant photosynthesis and plant hydraulics, which explains a wide range of observed plant responses to developing water stress.
Our theory is based on the least-cost hypothesis of Prentice et al. (2014). By integrating plant hydraulics into the least-cost framework, we attempt to improve upon the model of GPP by Wang et al. (2017), which accurately predicts the responses of global GPP to temperature, elevation, and vapour pressure deficit, but overestimates GPP under water-stressed conditions. Our model has three key ingredients. (1) The aforementioned least-cost framework, in which optimal stomatal conductance minimizes the summed costs of maintaining transpiration, the photosynthetic machinery, and the hydraulic pathways, including the potential costs of repairing embolized xylem. We also test a closely related maximum-benefit framework, in which optimal stomatal conductance maximizes the net benefit from assimilation while accounting for these summed costs, and obtain comparable results. (2) A trait-dependent model of water flow through the plant stem, in which water flow is limited by the conductivity (Ks) and embolism resistance (P50) of the hydraulic pathway. At the shortest timescale, water stress causes stomatal closure to an extent that the transpiration demand determined by the vapour pressure deficit at the leaf surface is matched by the water supply through the stem. (3) A short-term response of photosynthetic capacity (Vcmax) to soil moisture, through which the potential Vcmax acclimates to prevailing daytime conditions to equalize carboxylation-limited and electron-transport-limited photosynthesis rates (Ac and Aj), while the realized values of Vcmax, Ac, and Aj are reduced from their potential values by a factor dependent on the leaf water potential and the leaf embolism resistance.
We estimate the parameters of our model using published data from short-term and long-term dry-down experiments. The key predictions of our model are as follows: (1) GPP declines with decreasing soil water potential and drops to zero soon after the soil water potential crosses P50; (2) soil-to-leaf water potential difference remains relatively constant under developing water stress; (3) functional forms describing the declines in stomatal conductance, Vcmax, and GPP with soil water potential are consistent with observations; and (4) decreased photosynthetic capacity (Vcmax) recovers (in the long term) if the plant increases its Huber value (e.g., by shedding leaves), increases its conductivity (e.g., by growing wider new vessels), or decreases its height growth (e.g., by reducing allocation to growth). Our theory provides a potential way of integrating trait-based responses of plants to water stress into global vegetation models, and should therefore help to improve predictions of the global carbon and water cycles in a changing environment.
References: [1] Prentice IC, et al. Ecology letters 17.1 (2014): 82-91. [2] Wang H, et al. Nature Plants 3.9 (2017): 734.
How to cite: Joshi, J., Dieckmann, U., and Prentice, I. C.: Towards a unified theory of plant photosynthesis and hydraulics, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9687, https://doi.org/10.5194/egusphere-egu2020-9687, 2020.
Increasing frequencies and intensities of droughts are projected for many regions of the Earth. Water stress leads to a decline in the gross primary productivity (GPP) of plants. Plant responses to water stress vary with timescale, and plants adapted to different environments differ in their responses. Here, we present a unified theory of plant photosynthesis and plant hydraulics, which explains a wide range of observed plant responses to developing water stress.
Our theory is based on the least-cost hypothesis of Prentice et al. (2014). By integrating plant hydraulics into the least-cost framework, we attempt to improve upon the model of GPP by Wang et al. (2017), which accurately predicts the responses of global GPP to temperature, elevation, and vapour pressure deficit, but overestimates GPP under water-stressed conditions. Our model has three key ingredients. (1) The aforementioned least-cost framework, in which optimal stomatal conductance minimizes the summed costs of maintaining transpiration, the photosynthetic machinery, and the hydraulic pathways, including the potential costs of repairing embolized xylem. We also test a closely related maximum-benefit framework, in which optimal stomatal conductance maximizes the net benefit from assimilation while accounting for these summed costs, and obtain comparable results. (2) A trait-dependent model of water flow through the plant stem, in which water flow is limited by the conductivity (Ks) and embolism resistance (P50) of the hydraulic pathway. At the shortest timescale, water stress causes stomatal closure to an extent that the transpiration demand determined by the vapour pressure deficit at the leaf surface is matched by the water supply through the stem. (3) A short-term response of photosynthetic capacity (Vcmax) to soil moisture, through which the potential Vcmax acclimates to prevailing daytime conditions to equalize carboxylation-limited and electron-transport-limited photosynthesis rates (Ac and Aj), while the realized values of Vcmax, Ac, and Aj are reduced from their potential values by a factor dependent on the leaf water potential and the leaf embolism resistance.
We estimate the parameters of our model using published data from short-term and long-term dry-down experiments. The key predictions of our model are as follows: (1) GPP declines with decreasing soil water potential and drops to zero soon after the soil water potential crosses P50; (2) soil-to-leaf water potential difference remains relatively constant under developing water stress; (3) functional forms describing the declines in stomatal conductance, Vcmax, and GPP with soil water potential are consistent with observations; and (4) decreased photosynthetic capacity (Vcmax) recovers (in the long term) if the plant increases its Huber value (e.g., by shedding leaves), increases its conductivity (e.g., by growing wider new vessels), or decreases its height growth (e.g., by reducing allocation to growth). Our theory provides a potential way of integrating trait-based responses of plants to water stress into global vegetation models, and should therefore help to improve predictions of the global carbon and water cycles in a changing environment.
References: [1] Prentice IC, et al. Ecology letters 17.1 (2014): 82-91. [2] Wang H, et al. Nature Plants 3.9 (2017): 734.
How to cite: Joshi, J., Dieckmann, U., and Prentice, I. C.: Towards a unified theory of plant photosynthesis and hydraulics, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9687, https://doi.org/10.5194/egusphere-egu2020-9687, 2020.
EGU2020-18977 | Displays | BG3.6
Plant thermal tolerance: a global synthesis for future researchSonya Geange, Pieter Arnold, Alexandra Catling, Onoriode Coast, Alicia Cook, Kelli Gowland, Andrea Leigh, Rocco Notarnicola, Bradley Posch, Susanna Venn, Lingling Zhu, and Adrienne Nicotra
Extreme temperature events are increasing in frequency and intensity across the globe. These extremes, rather than averages, drive species evolution and determine survival by profoundly changing the structure and fluidity of cell membranes, altering enzyme function, and denaturing proteins. Given not only our dependence on agricultural crops and natural vegetation, but also the role of photosynthetic processes within the carbon and hydrological cycles, it is imperative to assess the state of our understanding of the potential impacts of extreme events on plants. Scaling responses from the molecular and organ level to ecosystem function is not without challenge however. There is vast literature on plant thermal tolerance research, but the body of literature is so large, the approaches so disparate and often siloed among disciplines, that research in this field risks floundering at a critical time. We conducted a systematic review of more than 21,500 studies spanning over 100 years of research that yielded almost 1,700 included studies on the tolerance of cultivated and wild land plants to both heat and cold. Our review indicates that most studies on thermal tolerance focus on the cold tolerance of cultivated species (52%) and only a trivial percentage of studies have considered both heat and cold tolerance of any given species (~5%). Combined heat and cold tolerance are important in areas where plants are exposed to extremes of both or may be in the future. This review illustrates the global distribution and concentrations of thermal tolerance studies and the diversity of thermal tolerance methods, ranging from molecular to biochemical, physiological and physical examinations, from transgenic model plants to agricultural and horticultural crops, to natural forest trees, shrubs, and grassland herbs. Critically, it also demonstrates that methods and metrics for assessing thermal tolerance are far from standardised, such that our potential to achieve mechanistic insight and compare across species and biomes is compromised. Without reconciling these issues, the scope for incorporating this critical ecological information into vegetation elements of land surface models may be limited. To aid this, we identify priorities for achieving efficient, reliable, and repeatable research across the spectrum of plant thermal tolerance. These priorities, including meta-analytical approaches and comparative experimental work, will not only further fundamental plant science, but will prove essential next steps if we are to integrate such diverse data on a critical plant functional trait into a usable metric within biogeochemical models.
How to cite: Geange, S., Arnold, P., Catling, A., Coast, O., Cook, A., Gowland, K., Leigh, A., Notarnicola, R., Posch, B., Venn, S., Zhu, L., and Nicotra, A.: Plant thermal tolerance: a global synthesis for future research, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18977, https://doi.org/10.5194/egusphere-egu2020-18977, 2020.
Extreme temperature events are increasing in frequency and intensity across the globe. These extremes, rather than averages, drive species evolution and determine survival by profoundly changing the structure and fluidity of cell membranes, altering enzyme function, and denaturing proteins. Given not only our dependence on agricultural crops and natural vegetation, but also the role of photosynthetic processes within the carbon and hydrological cycles, it is imperative to assess the state of our understanding of the potential impacts of extreme events on plants. Scaling responses from the molecular and organ level to ecosystem function is not without challenge however. There is vast literature on plant thermal tolerance research, but the body of literature is so large, the approaches so disparate and often siloed among disciplines, that research in this field risks floundering at a critical time. We conducted a systematic review of more than 21,500 studies spanning over 100 years of research that yielded almost 1,700 included studies on the tolerance of cultivated and wild land plants to both heat and cold. Our review indicates that most studies on thermal tolerance focus on the cold tolerance of cultivated species (52%) and only a trivial percentage of studies have considered both heat and cold tolerance of any given species (~5%). Combined heat and cold tolerance are important in areas where plants are exposed to extremes of both or may be in the future. This review illustrates the global distribution and concentrations of thermal tolerance studies and the diversity of thermal tolerance methods, ranging from molecular to biochemical, physiological and physical examinations, from transgenic model plants to agricultural and horticultural crops, to natural forest trees, shrubs, and grassland herbs. Critically, it also demonstrates that methods and metrics for assessing thermal tolerance are far from standardised, such that our potential to achieve mechanistic insight and compare across species and biomes is compromised. Without reconciling these issues, the scope for incorporating this critical ecological information into vegetation elements of land surface models may be limited. To aid this, we identify priorities for achieving efficient, reliable, and repeatable research across the spectrum of plant thermal tolerance. These priorities, including meta-analytical approaches and comparative experimental work, will not only further fundamental plant science, but will prove essential next steps if we are to integrate such diverse data on a critical plant functional trait into a usable metric within biogeochemical models.
How to cite: Geange, S., Arnold, P., Catling, A., Coast, O., Cook, A., Gowland, K., Leigh, A., Notarnicola, R., Posch, B., Venn, S., Zhu, L., and Nicotra, A.: Plant thermal tolerance: a global synthesis for future research, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18977, https://doi.org/10.5194/egusphere-egu2020-18977, 2020.
EGU2020-4100 | Displays | BG3.6 | Highlight
Simulating co-existence of functionally diverse trees in European natural forests with LPJmL-FITKirsten Thonicke, Maik Billing, Werner von Bloh, Boris Sakschewski, Ülo Niinemets, Josep Penuelas, J.Hans C. Cornelissen, Peter van Bodegom, Michael E. Shaepman, Fabian D. Schneider, and Ariane Walz
We adopted the flexible trait Dynamic Global Vegetation Model LPJmL-FIT for European natural forests by eliminating bioclimatic limits of Plant Functional Types (PFTs) and replacing prescribed values of functional traits with flexible individual traits. Vegetation dynamics are simulated with permafrost and fire disturbance being considered in the simulation domain. Leaf and stem-economic traits are assigned to individual trees at establishment which then determine plant competition for light and water in a forest patch. We simulate vegetation dynamics in selected natural forests sites and at the Pan-European scale. We quantified functional richness (FR), functional divergence (FDv) and functional evenness (FE) from combinations of functional and structural traits of the simulated individual trees.
We find good agreement with observed productivity, biomass and tree height, and spatial PFT and local trait distributions. The latter is compared against TRY observations. We find site-specific trait distributions and spatial gradients of the simulated LES and SES traits to coincide with environmental and competitive filtering for light and water in environments with strong abiotic stress. Where deciduous and needle-leaved trees co-occur in a forest patch, functional richness (potential niche space) is high, and extreme ends of the niche space are occupied resulting in high FDv. Functional divergence declines where the performance of deciduous trees decreases due to increasing environmental stress as simulated along altitudinal and latitudinal gradients. When climate gets cooler, needle-leaved trees become dominant, occupying the extreme ends of the niche space. Under Mediterranean climate conditions, drought increasingly limits tree growth thus niche differentiation becomes more important.
Co-existence of functionally diverse trees within and across PFTs emerges from alternative life history strategies, disturbance and tree demography.
How to cite: Thonicke, K., Billing, M., von Bloh, W., Sakschewski, B., Niinemets, Ü., Penuelas, J., Cornelissen, J. H. C., van Bodegom, P., Shaepman, M. E., Schneider, F. D., and Walz, A.: Simulating co-existence of functionally diverse trees in European natural forests with LPJmL-FIT, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4100, https://doi.org/10.5194/egusphere-egu2020-4100, 2020.
We adopted the flexible trait Dynamic Global Vegetation Model LPJmL-FIT for European natural forests by eliminating bioclimatic limits of Plant Functional Types (PFTs) and replacing prescribed values of functional traits with flexible individual traits. Vegetation dynamics are simulated with permafrost and fire disturbance being considered in the simulation domain. Leaf and stem-economic traits are assigned to individual trees at establishment which then determine plant competition for light and water in a forest patch. We simulate vegetation dynamics in selected natural forests sites and at the Pan-European scale. We quantified functional richness (FR), functional divergence (FDv) and functional evenness (FE) from combinations of functional and structural traits of the simulated individual trees.
We find good agreement with observed productivity, biomass and tree height, and spatial PFT and local trait distributions. The latter is compared against TRY observations. We find site-specific trait distributions and spatial gradients of the simulated LES and SES traits to coincide with environmental and competitive filtering for light and water in environments with strong abiotic stress. Where deciduous and needle-leaved trees co-occur in a forest patch, functional richness (potential niche space) is high, and extreme ends of the niche space are occupied resulting in high FDv. Functional divergence declines where the performance of deciduous trees decreases due to increasing environmental stress as simulated along altitudinal and latitudinal gradients. When climate gets cooler, needle-leaved trees become dominant, occupying the extreme ends of the niche space. Under Mediterranean climate conditions, drought increasingly limits tree growth thus niche differentiation becomes more important.
Co-existence of functionally diverse trees within and across PFTs emerges from alternative life history strategies, disturbance and tree demography.
How to cite: Thonicke, K., Billing, M., von Bloh, W., Sakschewski, B., Niinemets, Ü., Penuelas, J., Cornelissen, J. H. C., van Bodegom, P., Shaepman, M. E., Schneider, F. D., and Walz, A.: Simulating co-existence of functionally diverse trees in European natural forests with LPJmL-FIT, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4100, https://doi.org/10.5194/egusphere-egu2020-4100, 2020.
EGU2020-7019 | Displays | BG3.6 | Highlight
Global climate controls on the plant rooting depthBenjamin D. Stocker, Shersingh J. Tumber-Dávila, and Robert B. Jackson
Rooting depth governs plants' access to water during dry (rain-free) periods and is thus a key variable determining the sensitivity of transpiration and carbon assimilation to soil moisture drought and land-climate coupling during drought and heat events. Plant rooting depth variations of two orders of magnitude have been recorded across the globe and a substantial portion of this variation appears within species and functional groups. This suggests that plant rooting depth is a relatively plastic “trait” that may adjust to the local environment and soil hydrology and possibly also to temporally changing climatic conditions. Yet, plant rooting depth is commonly treated as a fixed parameter in global vegetation and climate models, specified for each plant functional type. How can respective trait flexibility be introduced in such models?
Approaches to explain these large variations have focussed on the depth of the local water table as a constraint on the maximum rooting depth (Fan et al., 2017), on the mean seasonality and synchrony of precipitation and radiation (Gao et al., 2014; Schenk et al., 2005), or on optimality principles for balancing the trade-offs between the benefits of deep rooting and their associated costs (carbon used for root construction and respiration and maintaining water transport along the entire soil-root-leaf pathway) (Kleidon and Heimann, 1998; Schymanski et al., 2009).
Here, we follow the approach by Gao et al. (2014), assuming that plants’ rooting depth is adjusted to sustain cumulative water deficits (precipitation minus evapotranspiration: P - ET) of a magnitude, corresponding to an event with a return period of N years, where N is a global constant. The water deficit is determined using daily reanalysis data of precipitation, while ET is estimated from remotely sensed vegetation cover and observed radiation, and from simulated stomatal responses to observed vapour pressure deficit across the globe for the past 35 years. Cumulative water deficits are translated into a “soil drying depth” using information on soil texture and its estimated water holding capacity.
First results reveal a global pattern of plant rooting depth, adjusted to the apparent cumulative water deficit during rain-free periods, peaking at intermediate aridity, where dry periods are long, radiation is high, and vegetation cover is substantial. A comparison to biome-level distributions of observed rooting depths indicates that the control by the cumulative water deficit, embodied in our model, is a powerful driver of variations between biomes. Shallowest rooting depths are observed and modelled in boreal forests and alpine meadows, while deepest rooting is observed and modelled in xeric forests. Stomatal response to dry conditions appears to be an important mechanism that mitigates the necessity for deep rooting, particularly in broadleaved tropical and temperate forests. Our analysis also revealed challenges in bridging the scales of observations and our global-scale model, possibly due to small-scale heterogeneity in soil water availability driven by the topographic setting.
How to cite: Stocker, B. D., Tumber-Dávila, S. J., and Jackson, R. B.: Global climate controls on the plant rooting depth, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7019, https://doi.org/10.5194/egusphere-egu2020-7019, 2020.
Rooting depth governs plants' access to water during dry (rain-free) periods and is thus a key variable determining the sensitivity of transpiration and carbon assimilation to soil moisture drought and land-climate coupling during drought and heat events. Plant rooting depth variations of two orders of magnitude have been recorded across the globe and a substantial portion of this variation appears within species and functional groups. This suggests that plant rooting depth is a relatively plastic “trait” that may adjust to the local environment and soil hydrology and possibly also to temporally changing climatic conditions. Yet, plant rooting depth is commonly treated as a fixed parameter in global vegetation and climate models, specified for each plant functional type. How can respective trait flexibility be introduced in such models?
Approaches to explain these large variations have focussed on the depth of the local water table as a constraint on the maximum rooting depth (Fan et al., 2017), on the mean seasonality and synchrony of precipitation and radiation (Gao et al., 2014; Schenk et al., 2005), or on optimality principles for balancing the trade-offs between the benefits of deep rooting and their associated costs (carbon used for root construction and respiration and maintaining water transport along the entire soil-root-leaf pathway) (Kleidon and Heimann, 1998; Schymanski et al., 2009).
Here, we follow the approach by Gao et al. (2014), assuming that plants’ rooting depth is adjusted to sustain cumulative water deficits (precipitation minus evapotranspiration: P - ET) of a magnitude, corresponding to an event with a return period of N years, where N is a global constant. The water deficit is determined using daily reanalysis data of precipitation, while ET is estimated from remotely sensed vegetation cover and observed radiation, and from simulated stomatal responses to observed vapour pressure deficit across the globe for the past 35 years. Cumulative water deficits are translated into a “soil drying depth” using information on soil texture and its estimated water holding capacity.
First results reveal a global pattern of plant rooting depth, adjusted to the apparent cumulative water deficit during rain-free periods, peaking at intermediate aridity, where dry periods are long, radiation is high, and vegetation cover is substantial. A comparison to biome-level distributions of observed rooting depths indicates that the control by the cumulative water deficit, embodied in our model, is a powerful driver of variations between biomes. Shallowest rooting depths are observed and modelled in boreal forests and alpine meadows, while deepest rooting is observed and modelled in xeric forests. Stomatal response to dry conditions appears to be an important mechanism that mitigates the necessity for deep rooting, particularly in broadleaved tropical and temperate forests. Our analysis also revealed challenges in bridging the scales of observations and our global-scale model, possibly due to small-scale heterogeneity in soil water availability driven by the topographic setting.
How to cite: Stocker, B. D., Tumber-Dávila, S. J., and Jackson, R. B.: Global climate controls on the plant rooting depth, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7019, https://doi.org/10.5194/egusphere-egu2020-7019, 2020.
EGU2020-10214 | Displays | BG3.6
Incorporating hydraulic traits within the functional strategy spectrum of woody plants globallyDaijun Liu, Adriane Esquivel-Muelbert, Jonathan Sadler, Nezha Acil, Phillip Papastefanou, Anja Rammig, and Thomas A. M. Pugh
Global-change-type droughts, resulting from climate warming and changes in precipitation patterns are believed to be accelerating the rates of tree mortality globally. Simulation of these changes, for instance in global vegetation models, requires parameterisation of plant strategies with respect to drought. However, our understanding of realised combinations of drought-relevant physiological and morphological traits across the range of global forest types is still limited.
We constructed a dataset consisting of 12 functional traits related to resource acquisition, growth rate, plant defence, water conductivity and hydraulic vulnerability for 11,000 woody species globally. We used a novel envelope-based analysis to assess the functional space occupied by these species whilst circumventing the problem of sparse sampling for many traits. We then subdivided the space into a continuum of strategic “clusters”. These clusters only map partially onto groupings of traditional plant functional types based on leaf type and phenology.
We found that the functional spaces for the plant strategies are highly interrelated globally, showing that the traits related to resource acquisition are positively associated with growth rates and leaf water conductivity, which together are negatively associated with conservative traits of plant defence, although these associations differ greatly between needleleaf and broadleaf species. However, the trait related to hydraulic failure demonstrated positive associations with resource acquisition, but no relationship with woody defence. Furthermore, there are clear linkages between water flow and hydraulic vulnerability traits, and climatic drivers relating to aridity and plant distribution.
The clusters identified in this systemic work can form a basis for new plant functional type definitions, facilitating including plant hydraulics in global vegetation models and, taking a step towards making reliable large-scale simulations of drought-driven tree mortality.
How to cite: Liu, D., Esquivel-Muelbert, A., Sadler, J., Acil, N., Papastefanou, P., Rammig, A., and A. M. Pugh, T.: Incorporating hydraulic traits within the functional strategy spectrum of woody plants globally, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10214, https://doi.org/10.5194/egusphere-egu2020-10214, 2020.
Global-change-type droughts, resulting from climate warming and changes in precipitation patterns are believed to be accelerating the rates of tree mortality globally. Simulation of these changes, for instance in global vegetation models, requires parameterisation of plant strategies with respect to drought. However, our understanding of realised combinations of drought-relevant physiological and morphological traits across the range of global forest types is still limited.
We constructed a dataset consisting of 12 functional traits related to resource acquisition, growth rate, plant defence, water conductivity and hydraulic vulnerability for 11,000 woody species globally. We used a novel envelope-based analysis to assess the functional space occupied by these species whilst circumventing the problem of sparse sampling for many traits. We then subdivided the space into a continuum of strategic “clusters”. These clusters only map partially onto groupings of traditional plant functional types based on leaf type and phenology.
We found that the functional spaces for the plant strategies are highly interrelated globally, showing that the traits related to resource acquisition are positively associated with growth rates and leaf water conductivity, which together are negatively associated with conservative traits of plant defence, although these associations differ greatly between needleleaf and broadleaf species. However, the trait related to hydraulic failure demonstrated positive associations with resource acquisition, but no relationship with woody defence. Furthermore, there are clear linkages between water flow and hydraulic vulnerability traits, and climatic drivers relating to aridity and plant distribution.
The clusters identified in this systemic work can form a basis for new plant functional type definitions, facilitating including plant hydraulics in global vegetation models and, taking a step towards making reliable large-scale simulations of drought-driven tree mortality.
How to cite: Liu, D., Esquivel-Muelbert, A., Sadler, J., Acil, N., Papastefanou, P., Rammig, A., and A. M. Pugh, T.: Incorporating hydraulic traits within the functional strategy spectrum of woody plants globally, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10214, https://doi.org/10.5194/egusphere-egu2020-10214, 2020.
EGU2020-11248 | Displays | BG3.6
Towards a new trait-based framework bringing together terrestrial and marine ecosystems in Earth system models.Felix Pellerin, Philipp Porada, and Inga Hense
The climate on Earth arises from multiple interactions between the different spheres, including the biosphere. Within the biosphere, the organisms composing the various types of ecosystem are characterized by a set of traits involved in biological processes that can influence the climate system. Identifying and integrating these traits into models such as earth system models (ESM) is thus crucial to predict the future of earth climate. While an important number of biological processes are similar, the amount and the type of traits considered to represent these processes can vary considerably among ecosystem types in current ESMs. Such inconsistencies could bias our perception of the global influence of biosphere on climate dynamics. Here we first list the biological traits that have been included in the terrestrial and oceanic modules of the CMIP5 Earth system models. By comparing the traits and associated processes, we reveal consistencies and inconsistencies in trait representation among both ecosystem types. Based on a critical evaluation we propose a new conceptual framework that allows to describe the climate relevant traits in a consistent way in terrestrial and oceanic modules of ESMs. This framework can also be used to identify new traits characterizing terrestrial and/or marine ecosystems, and to integrate them in ESMs.
How to cite: Pellerin, F., Porada, P., and Hense, I.: Towards a new trait-based framework bringing together terrestrial and marine ecosystems in Earth system models., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11248, https://doi.org/10.5194/egusphere-egu2020-11248, 2020.
The climate on Earth arises from multiple interactions between the different spheres, including the biosphere. Within the biosphere, the organisms composing the various types of ecosystem are characterized by a set of traits involved in biological processes that can influence the climate system. Identifying and integrating these traits into models such as earth system models (ESM) is thus crucial to predict the future of earth climate. While an important number of biological processes are similar, the amount and the type of traits considered to represent these processes can vary considerably among ecosystem types in current ESMs. Such inconsistencies could bias our perception of the global influence of biosphere on climate dynamics. Here we first list the biological traits that have been included in the terrestrial and oceanic modules of the CMIP5 Earth system models. By comparing the traits and associated processes, we reveal consistencies and inconsistencies in trait representation among both ecosystem types. Based on a critical evaluation we propose a new conceptual framework that allows to describe the climate relevant traits in a consistent way in terrestrial and oceanic modules of ESMs. This framework can also be used to identify new traits characterizing terrestrial and/or marine ecosystems, and to integrate them in ESMs.
How to cite: Pellerin, F., Porada, P., and Hense, I.: Towards a new trait-based framework bringing together terrestrial and marine ecosystems in Earth system models., EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11248, https://doi.org/10.5194/egusphere-egu2020-11248, 2020.
EGU2020-8994 | Displays | BG3.6 | Highlight
Neural Networks to estimate world forest foliar elemental composition and stoichiometryHelena Vallicrosa, Jordi Sardans, Paolo Zuccarini, Joan Maspons, and Josep Peñuelas
We developed global maps of N, P, K concentrations and ratios in leaves for woody plants by modeling with Neural Networks at 1km resolution. We gathered georeferenciated data from published data bases (like TRY and ICP) and a total of 206 peer-published papers (ISI WEB) achieving 28736 records of N, P and K leaf concentrations that we split in 6 morphoclimatic groups (tropical evergreen, tropical deciduous broadleaves, temperate coniferous, temperate evergreen broadleaves, temperate deciduous broadleaves and boreal). We trained Neural Networks with climatic, soil and atmospheric deposition data and morphoclimatic groups to model the foliar elemental composition and project it at global scale according to a Land Cover map. The models provide maps with information of the foliar concentrations of each element at pixel level, their uncertainty and goodness of fit, and relative importance of the independent variables. Linear models were also created to show the relationship between dependent and independent variables. These maps and these relationships will improve the understanding of the biogeochemical processes and provide better input nutritional data for the global models of carbon cycle and climate change.
How to cite: Vallicrosa, H., Sardans, J., Zuccarini, P., Maspons, J., and Peñuelas, J.: Neural Networks to estimate world forest foliar elemental composition and stoichiometry, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8994, https://doi.org/10.5194/egusphere-egu2020-8994, 2020.
We developed global maps of N, P, K concentrations and ratios in leaves for woody plants by modeling with Neural Networks at 1km resolution. We gathered georeferenciated data from published data bases (like TRY and ICP) and a total of 206 peer-published papers (ISI WEB) achieving 28736 records of N, P and K leaf concentrations that we split in 6 morphoclimatic groups (tropical evergreen, tropical deciduous broadleaves, temperate coniferous, temperate evergreen broadleaves, temperate deciduous broadleaves and boreal). We trained Neural Networks with climatic, soil and atmospheric deposition data and morphoclimatic groups to model the foliar elemental composition and project it at global scale according to a Land Cover map. The models provide maps with information of the foliar concentrations of each element at pixel level, their uncertainty and goodness of fit, and relative importance of the independent variables. Linear models were also created to show the relationship between dependent and independent variables. These maps and these relationships will improve the understanding of the biogeochemical processes and provide better input nutritional data for the global models of carbon cycle and climate change.
How to cite: Vallicrosa, H., Sardans, J., Zuccarini, P., Maspons, J., and Peñuelas, J.: Neural Networks to estimate world forest foliar elemental composition and stoichiometry, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8994, https://doi.org/10.5194/egusphere-egu2020-8994, 2020.
EGU2020-20651 | Displays | BG3.6
Canopy N across European forests: comparing spatial patterns of canopy N retrieved from remote sensing, environmental variables and global vegetation modelsYasmina Loozen, Derek Karssenberg, Steven de Jong, Meng Lu, Stefan Olin, Martin Wassen, David Wårlind, Sönke Zaehle, and Karin Rebel
Humans have dramatically increased atmospheric CO2 concentration as well as biologically available nitrogen (N). Nitrogen is an essential nutrient for vegetation growth and N availability represents a limiting factor on carbon (C) sequestration by the terrestrial ecosystems. While there is a large infrastructure for measurements to constrain the C cycle, data to constrain the N cycle are less readily available. Using a combination of remote sensing products (MODIS), canopy N concentration data (ICP forest), plant functional type and environmental variables including soil, climate (WorldClim) and elevation (EU-DEM), we generated a canopy N map across European forests using a random forest statistical method (hereafter RF canopy N map).
Most current Global Vegetation Models (GVMs) have integrated C and N cycles, to account for the link between C and N for plant growth and respiration. Leaf N concentration is also important for other biomass compartments as N allocations are prescribed relative to leaf N. The objective of this study is to compare canopy N of two GVMs, O-CN and LPJ-GUESS, and the RF canopy N map in European forests.
The obtained canopy N maps show contrasting spatial patterns. The RF canopy N map shows higher canopy N values, i.e. between 1.8 and 2.2 %N, in mid-western and eastern Europe, while showing lower values, i.e. 1.2 and 1.6 %N, around the Mediterranean region and in the south of Sweden. The canopy N map obtained from the O-CN simulation shows relatively lower canopy N values, ranging from 1.0 to 1.8 %N, in central and northern Europe, while in the Mediterranean region the values are higher, between 1.8 and 2.4 %N. Similar to the RF map, the LPJ-GUESS canopy N map shows relatively higher canopy N values in mid-western Europe compared to southern and northern Europe, however, the LPJ-GUESS canopy N values show little spatial variation in the Mediterranean region. Also, the LPJ-GUESS values are higher, with canopy N values ranging between 2.0 and 2.8 %N in mid-western Europe, and canopy N values ranging between 1.6 and 1.8 %N in the Mediterranean region.
The analysis yields insight into spatial differences in RF canopy N and canopy N predicted by GVMs, with especially a mismatch in arid and warm regions.
How to cite: Loozen, Y., Karssenberg, D., de Jong, S., Lu, M., Olin, S., Wassen, M., Wårlind, D., Zaehle, S., and Rebel, K.: Canopy N across European forests: comparing spatial patterns of canopy N retrieved from remote sensing, environmental variables and global vegetation models, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20651, https://doi.org/10.5194/egusphere-egu2020-20651, 2020.
Humans have dramatically increased atmospheric CO2 concentration as well as biologically available nitrogen (N). Nitrogen is an essential nutrient for vegetation growth and N availability represents a limiting factor on carbon (C) sequestration by the terrestrial ecosystems. While there is a large infrastructure for measurements to constrain the C cycle, data to constrain the N cycle are less readily available. Using a combination of remote sensing products (MODIS), canopy N concentration data (ICP forest), plant functional type and environmental variables including soil, climate (WorldClim) and elevation (EU-DEM), we generated a canopy N map across European forests using a random forest statistical method (hereafter RF canopy N map).
Most current Global Vegetation Models (GVMs) have integrated C and N cycles, to account for the link between C and N for plant growth and respiration. Leaf N concentration is also important for other biomass compartments as N allocations are prescribed relative to leaf N. The objective of this study is to compare canopy N of two GVMs, O-CN and LPJ-GUESS, and the RF canopy N map in European forests.
The obtained canopy N maps show contrasting spatial patterns. The RF canopy N map shows higher canopy N values, i.e. between 1.8 and 2.2 %N, in mid-western and eastern Europe, while showing lower values, i.e. 1.2 and 1.6 %N, around the Mediterranean region and in the south of Sweden. The canopy N map obtained from the O-CN simulation shows relatively lower canopy N values, ranging from 1.0 to 1.8 %N, in central and northern Europe, while in the Mediterranean region the values are higher, between 1.8 and 2.4 %N. Similar to the RF map, the LPJ-GUESS canopy N map shows relatively higher canopy N values in mid-western Europe compared to southern and northern Europe, however, the LPJ-GUESS canopy N values show little spatial variation in the Mediterranean region. Also, the LPJ-GUESS values are higher, with canopy N values ranging between 2.0 and 2.8 %N in mid-western Europe, and canopy N values ranging between 1.6 and 1.8 %N in the Mediterranean region.
The analysis yields insight into spatial differences in RF canopy N and canopy N predicted by GVMs, with especially a mismatch in arid and warm regions.
How to cite: Loozen, Y., Karssenberg, D., de Jong, S., Lu, M., Olin, S., Wassen, M., Wårlind, D., Zaehle, S., and Rebel, K.: Canopy N across European forests: comparing spatial patterns of canopy N retrieved from remote sensing, environmental variables and global vegetation models, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20651, https://doi.org/10.5194/egusphere-egu2020-20651, 2020.
EGU2020-11293 | Displays | BG3.6
Leaf functional diversity is not equivalent to canopy functional diversity: Mapping whole canopy traits with imaging spectroscopy and lidar fusionAaron Kamoske, Kyla Dahlin, Shawn Serbin, and Scott Stark
Foliar nitrogen concentration (foliar N) and leaf mass per area (LMA) have been identified as key drivers of plant functional diversity and are strongly correlated with photosynthetic carbon assimilation in terrestrial ecosystems. However, these traits are not static between and among species, instead tradeoffs between light interception, photosynthetic capacity, and construction costs (e.g. leaf economics spectrum) lead to significant variation across landscapes. This diversity in leaf traits can lead to considerable differences in carbon assimilation rates at the leaf level, which is difficult to quantify at ecosystem scales without advanced technologies. Much of our current understanding of landscape-scale heterogeneity in functional traits has come from airborne imaging spectroscopy, which can be linked with foliar trait data to map functional diversity across entire ecosystems. Yet, these remote sensing platforms primarily measure processes occurring in leaves at the top of the canopy, thus ignoring critical information about the three-dimensional structure of forest canopies. Moreover, there is a critical relationship between forest structure and function which drives ecological processes such as carbon assimilation, resource use and efficiency, and woody growth. With traditional remote sensing platforms assuming a 2D world, this leads to an important question in ecosystem functioning: Do total canopy foliar N patterns match top of canopy N concentrations, or are these patterns different? In the United States, the National Ecological Observatory Network’s Airborne Observation Platform (NEON AOP) provides a unique opportunity to address this question by collecting airborne lidar and hyperspectral data in unison across a variety of ecoregions. With a fusion of hyperspectral and lidar data from the NEON AOP and field collected foliar trait data, we show that top of canopy leaf-level and whole canopy foliar N represent fundamentally different measurements regardless of spatial resolution, which could have critical impacts when scaled to landscape, continental, and global models. In addition, we examine the influence of topography, geology, and management regimes on these two measurements of functional diversity at a NEON site consisting of patches of open longleaf pine and dense broadleaf deciduous forests. By understanding how these measurements are linked to abiotic gradients and management regimes, we show that top of canopy functional diversity is more closely related to environmental gradients, reflecting species differences, while whole canopy functional diversity is more evenly distributed, which is a reflection of N availability and utilization across this ecosystem.
How to cite: Kamoske, A., Dahlin, K., Serbin, S., and Stark, S.: Leaf functional diversity is not equivalent to canopy functional diversity: Mapping whole canopy traits with imaging spectroscopy and lidar fusion, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11293, https://doi.org/10.5194/egusphere-egu2020-11293, 2020.
Foliar nitrogen concentration (foliar N) and leaf mass per area (LMA) have been identified as key drivers of plant functional diversity and are strongly correlated with photosynthetic carbon assimilation in terrestrial ecosystems. However, these traits are not static between and among species, instead tradeoffs between light interception, photosynthetic capacity, and construction costs (e.g. leaf economics spectrum) lead to significant variation across landscapes. This diversity in leaf traits can lead to considerable differences in carbon assimilation rates at the leaf level, which is difficult to quantify at ecosystem scales without advanced technologies. Much of our current understanding of landscape-scale heterogeneity in functional traits has come from airborne imaging spectroscopy, which can be linked with foliar trait data to map functional diversity across entire ecosystems. Yet, these remote sensing platforms primarily measure processes occurring in leaves at the top of the canopy, thus ignoring critical information about the three-dimensional structure of forest canopies. Moreover, there is a critical relationship between forest structure and function which drives ecological processes such as carbon assimilation, resource use and efficiency, and woody growth. With traditional remote sensing platforms assuming a 2D world, this leads to an important question in ecosystem functioning: Do total canopy foliar N patterns match top of canopy N concentrations, or are these patterns different? In the United States, the National Ecological Observatory Network’s Airborne Observation Platform (NEON AOP) provides a unique opportunity to address this question by collecting airborne lidar and hyperspectral data in unison across a variety of ecoregions. With a fusion of hyperspectral and lidar data from the NEON AOP and field collected foliar trait data, we show that top of canopy leaf-level and whole canopy foliar N represent fundamentally different measurements regardless of spatial resolution, which could have critical impacts when scaled to landscape, continental, and global models. In addition, we examine the influence of topography, geology, and management regimes on these two measurements of functional diversity at a NEON site consisting of patches of open longleaf pine and dense broadleaf deciduous forests. By understanding how these measurements are linked to abiotic gradients and management regimes, we show that top of canopy functional diversity is more closely related to environmental gradients, reflecting species differences, while whole canopy functional diversity is more evenly distributed, which is a reflection of N availability and utilization across this ecosystem.
How to cite: Kamoske, A., Dahlin, K., Serbin, S., and Stark, S.: Leaf functional diversity is not equivalent to canopy functional diversity: Mapping whole canopy traits with imaging spectroscopy and lidar fusion, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11293, https://doi.org/10.5194/egusphere-egu2020-11293, 2020.
EGU2020-12843 | Displays | BG3.6 | Highlight
The spectrum of ecosystem functional propertiesMirco Migliavacca, Talie Musavi, Miguel D. Mahecha, Jacob A. Nelson, Juergen Knauer, Dennis D. Baldocchi, Oscar Perez-Priego, and Markus Reichstein and the Ecosystem Functional Properties group
Understanding the coordination of ecosystem functions across biomes and climate is still a major challenge that hampers our ability to properly predict biosphere response to climate change. Theories such as the leaf economics spectrum and the least cost investment strategy postulate that plants optimize the rate of investment in transpiration, photosynthetic capacity, and nitrogen (N) allocation dependent on the ratio of their costs to gain given their resources and environment.
In this contribution we test whether theories about functional traits coordination at leaf and organs level are emerging at ecosystem scale. We further investigate the existence of a global spectrum of ecosystem functional properties, and analyze how state of the art terrestrial biosphere models reproduce the spectrum.
To do so we used data of CO2, water and energy exchange for 164 sites (1237 site years) from the FLUXNET LaThuile and FLUXNET 2015 datasets with at least 3 years of data. For 61 sites, we were able to compile site information on canopy-scale measurements of foliar N concentration, maximum leaf area index , and stand age, from the literature.
We find evidence that a global spectrum of ecosystem functional properties exist, and that most of the variability (66.2%) is captured by three dimensions. The first dimension represents ecosystem productivity; the second the water availability gradient, and climate limitations to productivity; the third dimension reflects ecosystem respiration potential and carbon-use efficiency and is related to aridity and stand age and disturbance regimes. The first two dimensions of the spectrum are well captured by ecosystem models, while the third dimension is poorly reproduced. This might be related to the spin up of the models (steady-state condition) or to an incomplete representation of processes related to age that might limit the ability of models to accurately predict the dynamic carbon, water and nutrient cycling in ecosystems in disturbed areas.
Finally, we show across ecosystems globally that leaf level theories can be in some cases translated to the ecosystem scale. As a main example we found an inverse relationship between photosynthetic N and water use efficiency as postulated by the least cost investment theory across FLUXNET sites. However, this is possible only when the contribution of vegetation is properly accounted for, and evaporation from soil and wet surfaces is removed from the analysis. This highlights that emerging biological patterns at ecosystem scale might be masked by other factors related to physical rather than biological responses.
How to cite: Migliavacca, M., Musavi, T., Mahecha, M. D., Nelson, J. A., Knauer, J., Baldocchi, D. D., Perez-Priego, O., and Reichstein, M. and the Ecosystem Functional Properties group: The spectrum of ecosystem functional properties, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12843, https://doi.org/10.5194/egusphere-egu2020-12843, 2020.
Understanding the coordination of ecosystem functions across biomes and climate is still a major challenge that hampers our ability to properly predict biosphere response to climate change. Theories such as the leaf economics spectrum and the least cost investment strategy postulate that plants optimize the rate of investment in transpiration, photosynthetic capacity, and nitrogen (N) allocation dependent on the ratio of their costs to gain given their resources and environment.
In this contribution we test whether theories about functional traits coordination at leaf and organs level are emerging at ecosystem scale. We further investigate the existence of a global spectrum of ecosystem functional properties, and analyze how state of the art terrestrial biosphere models reproduce the spectrum.
To do so we used data of CO2, water and energy exchange for 164 sites (1237 site years) from the FLUXNET LaThuile and FLUXNET 2015 datasets with at least 3 years of data. For 61 sites, we were able to compile site information on canopy-scale measurements of foliar N concentration, maximum leaf area index , and stand age, from the literature.
We find evidence that a global spectrum of ecosystem functional properties exist, and that most of the variability (66.2%) is captured by three dimensions. The first dimension represents ecosystem productivity; the second the water availability gradient, and climate limitations to productivity; the third dimension reflects ecosystem respiration potential and carbon-use efficiency and is related to aridity and stand age and disturbance regimes. The first two dimensions of the spectrum are well captured by ecosystem models, while the third dimension is poorly reproduced. This might be related to the spin up of the models (steady-state condition) or to an incomplete representation of processes related to age that might limit the ability of models to accurately predict the dynamic carbon, water and nutrient cycling in ecosystems in disturbed areas.
Finally, we show across ecosystems globally that leaf level theories can be in some cases translated to the ecosystem scale. As a main example we found an inverse relationship between photosynthetic N and water use efficiency as postulated by the least cost investment theory across FLUXNET sites. However, this is possible only when the contribution of vegetation is properly accounted for, and evaporation from soil and wet surfaces is removed from the analysis. This highlights that emerging biological patterns at ecosystem scale might be masked by other factors related to physical rather than biological responses.
How to cite: Migliavacca, M., Musavi, T., Mahecha, M. D., Nelson, J. A., Knauer, J., Baldocchi, D. D., Perez-Priego, O., and Reichstein, M. and the Ecosystem Functional Properties group: The spectrum of ecosystem functional properties, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12843, https://doi.org/10.5194/egusphere-egu2020-12843, 2020.
EGU2020-1128 | Displays | BG3.6
Biogeochemistry of macrophytes, sediments and porewaters in thermokarst lakes of western Siberia in the discontinuous and continuous permafrost zoneRinat Manasypov, Oleg Pokrovsky, and Liudmila Shirokova
Despite high importance of macrophytes in shallow thaw lakes for control of major and trace nutrients in lake water, the chemical composition of different aquatic plants and trace element (TE) partitioning between macrophytes and lake water and sediments in the permafrost regions remain totally unknown. Here we sampled dominant macrophytes of thermokarst (thaw) lakes of discontinuous and continuous permafrost zones in Western Siberia Lowland (WSL) and we measured major and trace elements in plant biomass, lake water, lake sediments and sediment porewater. All 6 studies plants (Hippuris vulgaris L., Glyceria maxima (Hartm.) Holmb., Comarum palustre L., Ranunculus spitzbergensis Hadac, Carex aquatilis Wahlenb s. str., Menyanthes trifoliata L.), sizably accumulate macronutrients (Na, Mg, Ca), micronutrients (B, Mo, Nu, Cu, Zn, Co) and toxicants (As, Cd) relative to lake sediments. The accumulation of other trace elements including rare earth elements (REE) in macrophytes relative to pore waters and sediments was strongly species-specific. Under climate warmings scenario and the propagation of southern species northward, the accumulation of trace metals in aquatic plants of thermokarst lakes will produce preferential uptake of Cd, Pb, Ba from thermokarst lake water and sediments by the biomass of aquatic macrophytes. This may eventually diminish the transport of metal micronutrients from lakes to rivers and further to the Arctic Ocean.
Support from the RSF (RNF) grant 19-77-00073 “Experimental modeling of the formation mechanisms for elemental composition of water in thermokarst lakes of Western Siberia: vegetation effect”.
How to cite: Manasypov, R., Pokrovsky, O., and Shirokova, L.: Biogeochemistry of macrophytes, sediments and porewaters in thermokarst lakes of western Siberia in the discontinuous and continuous permafrost zone, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1128, https://doi.org/10.5194/egusphere-egu2020-1128, 2020.
Despite high importance of macrophytes in shallow thaw lakes for control of major and trace nutrients in lake water, the chemical composition of different aquatic plants and trace element (TE) partitioning between macrophytes and lake water and sediments in the permafrost regions remain totally unknown. Here we sampled dominant macrophytes of thermokarst (thaw) lakes of discontinuous and continuous permafrost zones in Western Siberia Lowland (WSL) and we measured major and trace elements in plant biomass, lake water, lake sediments and sediment porewater. All 6 studies plants (Hippuris vulgaris L., Glyceria maxima (Hartm.) Holmb., Comarum palustre L., Ranunculus spitzbergensis Hadac, Carex aquatilis Wahlenb s. str., Menyanthes trifoliata L.), sizably accumulate macronutrients (Na, Mg, Ca), micronutrients (B, Mo, Nu, Cu, Zn, Co) and toxicants (As, Cd) relative to lake sediments. The accumulation of other trace elements including rare earth elements (REE) in macrophytes relative to pore waters and sediments was strongly species-specific. Under climate warmings scenario and the propagation of southern species northward, the accumulation of trace metals in aquatic plants of thermokarst lakes will produce preferential uptake of Cd, Pb, Ba from thermokarst lake water and sediments by the biomass of aquatic macrophytes. This may eventually diminish the transport of metal micronutrients from lakes to rivers and further to the Arctic Ocean.
Support from the RSF (RNF) grant 19-77-00073 “Experimental modeling of the formation mechanisms for elemental composition of water in thermokarst lakes of Western Siberia: vegetation effect”.
How to cite: Manasypov, R., Pokrovsky, O., and Shirokova, L.: Biogeochemistry of macrophytes, sediments and porewaters in thermokarst lakes of western Siberia in the discontinuous and continuous permafrost zone, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-1128, https://doi.org/10.5194/egusphere-egu2020-1128, 2020.
EGU2020-2346 | Displays | BG3.6
Drought-forced tree morphological changes facilitate trubs in a semiarid regionJingyu Dai, Hongyan Liu, Yongcai Wang, and Qinghua Guo
Semiarid forests characterized by the presence of “trub” species, which have short heights but large canopy sizes, can maintain a high carbon sequestration rate. By integrating terrestrial laser scanning (TLS), we quantified drought-forced tree morphological variation along a precipitation gradient; annual precipitation (MAP) explained 70.3% of variation in tree height (Height) but did not explain the variation in canopy area (CA). Theoretical CA-Height relationships widely adopted by dynamic global vegetation models (DGVMs) matched only the 5th percentile of our results, which is problematic for simulating carbon sequestration of open forests in semiarid regions. The trend toward “trubs” under a drying climate implies two decoupled functions of stems, mechanical stability and hydraulic efficiency, and can be an important strategy for trees to balance water and carbon. Our results demonstrate the importance of tree morphological studies for both tree environment-acclimation strategies and the improvement of DGVMs.
How to cite: Dai, J., Liu, H., Wang, Y., and Guo, Q.: Drought-forced tree morphological changes facilitate trubs in a semiarid region, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2346, https://doi.org/10.5194/egusphere-egu2020-2346, 2020.
Semiarid forests characterized by the presence of “trub” species, which have short heights but large canopy sizes, can maintain a high carbon sequestration rate. By integrating terrestrial laser scanning (TLS), we quantified drought-forced tree morphological variation along a precipitation gradient; annual precipitation (MAP) explained 70.3% of variation in tree height (Height) but did not explain the variation in canopy area (CA). Theoretical CA-Height relationships widely adopted by dynamic global vegetation models (DGVMs) matched only the 5th percentile of our results, which is problematic for simulating carbon sequestration of open forests in semiarid regions. The trend toward “trubs” under a drying climate implies two decoupled functions of stems, mechanical stability and hydraulic efficiency, and can be an important strategy for trees to balance water and carbon. Our results demonstrate the importance of tree morphological studies for both tree environment-acclimation strategies and the improvement of DGVMs.
How to cite: Dai, J., Liu, H., Wang, Y., and Guo, Q.: Drought-forced tree morphological changes facilitate trubs in a semiarid region, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2346, https://doi.org/10.5194/egusphere-egu2020-2346, 2020.
EGU2020-2675 | Displays | BG3.6
Measuring plant hydraulic conductance and xylem vulnerability under close to natural conditionsLouis Krieger and Stanislaus Schymanski
Usually hydraulic conductance and vulnerability are measured under extreme conditions never experienced by living plants (e. g. centrifugation, bench dehydration, and large pressure gradients). A common factor that is known to inhibit the water transport in plants is cavitation, which is believed to occur either by air entry through the pit valves on the walls of the xylem, or by ex-solution of dissolved gases, or vaporization of water at very low pressures. Various physical characteristics of the xylem influence the efficiency of transport and the vulnerability to cavitation.
Here we explore possibilities to measure hydraulic conductance and induce cavitation under close to natural conditions. We designed a very simple “artificial plant” consisting of a root and a transpiring membrane, equipped with pressure and flow meters, where a twig can be inserted in the flow path to measure its hydraulic conductance. Attempts to induce cavitation resulted in surprising results, provoking new questions on the role of xylem structural traits and their relevance for water transport in plants.
How to cite: Krieger, L. and Schymanski, S.: Measuring plant hydraulic conductance and xylem vulnerability under close to natural conditions, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2675, https://doi.org/10.5194/egusphere-egu2020-2675, 2020.
Usually hydraulic conductance and vulnerability are measured under extreme conditions never experienced by living plants (e. g. centrifugation, bench dehydration, and large pressure gradients). A common factor that is known to inhibit the water transport in plants is cavitation, which is believed to occur either by air entry through the pit valves on the walls of the xylem, or by ex-solution of dissolved gases, or vaporization of water at very low pressures. Various physical characteristics of the xylem influence the efficiency of transport and the vulnerability to cavitation.
Here we explore possibilities to measure hydraulic conductance and induce cavitation under close to natural conditions. We designed a very simple “artificial plant” consisting of a root and a transpiring membrane, equipped with pressure and flow meters, where a twig can be inserted in the flow path to measure its hydraulic conductance. Attempts to induce cavitation resulted in surprising results, provoking new questions on the role of xylem structural traits and their relevance for water transport in plants.
How to cite: Krieger, L. and Schymanski, S.: Measuring plant hydraulic conductance and xylem vulnerability under close to natural conditions, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2675, https://doi.org/10.5194/egusphere-egu2020-2675, 2020.
EGU2020-4827 | Displays | BG3.6
Introduced species in new ecosystems: concerning possible distortions of local biogeochemical cyclesLyudmila Kavelenova, Nataly Prokhorova, Svetlana Rozno, Alexander Pomogaybin, and Nikolay Yankov
The higher plants species during introduction demonstrate their properties, sometimes going beyond their traits in the natural areas. The most striking example may be given in this case is Acer nugundo L. (ash-leaved maple from the North America, a common component of forests in river valleys). In the forest-steppe –steppe landscapes of the Middle Volga region, it became a tree weed that exhibits exceptional resistance to abiotic stress conditions, including droughts.
Being introduced to alien territories, tree species generate different sorts of “distortions” into local biogeochemical cycles in natural ecosystems and anthropogenically transformed environment. We would like to list briefly some kinds of such influence expressed in the conditions of the forest-steppe-and steppe ecosystems of our region.
The direct or indirect effects on water cycle may be connected with:
- The changes in water balance due to additional transpiration during the overgrowth of previously treeless localities with the transition from grassy to pseudo-forest communities (Ulmus foliaceae L., Acer negundo L., Elaeagnus angustifolia L.).
- The emission of additional amount of terpenes and other aeroions into the air (various types of coniferous and deciduous trees and shrubs), which can act as centers of water vapor condensation.
The direct or indirect effects on carbon cycle (as well as nitrogen and phosphorus) may be connected with:
- The formation of leaf mass not eaten by local phytophages, replenishing the fund of leaf litter (Acer negundo L., Aesculus hyppocastanum L., species of Juglans genera.).
- The influence on the soil biological activity by stimulating or inhibiting the development of soil microbiota members (different tree species including Juglans cinerea L., J. mandshurica Maxim. , J. nigra L. and others).
- The changes in the soil nitrogen balance, especially pronounced for species with "symbiotic support" (Elaeagnus angustifolia L., Hyppophae ramnoides L.).
The above effects were detected by us for the few species including named above using various field and laboratory methods. Now we can consider them at the level of their identification as such Their scale assessment at the ecosystem level may become a next stage.
An analysis of the possibilities of identifying new pseudo-forest communities developing on the grassy deposits was carried out in local conditions by integrating ground-based survey data and remote sensing. This aspect seems to be valuable for our region with highly mosaic combination of natural, cultivated, anthropogenically transformed and other territories.
How to cite: Kavelenova, L., Prokhorova, N., Rozno, S., Pomogaybin, A., and Yankov, N.: Introduced species in new ecosystems: concerning possible distortions of local biogeochemical cycles, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4827, https://doi.org/10.5194/egusphere-egu2020-4827, 2020.
The higher plants species during introduction demonstrate their properties, sometimes going beyond their traits in the natural areas. The most striking example may be given in this case is Acer nugundo L. (ash-leaved maple from the North America, a common component of forests in river valleys). In the forest-steppe –steppe landscapes of the Middle Volga region, it became a tree weed that exhibits exceptional resistance to abiotic stress conditions, including droughts.
Being introduced to alien territories, tree species generate different sorts of “distortions” into local biogeochemical cycles in natural ecosystems and anthropogenically transformed environment. We would like to list briefly some kinds of such influence expressed in the conditions of the forest-steppe-and steppe ecosystems of our region.
The direct or indirect effects on water cycle may be connected with:
- The changes in water balance due to additional transpiration during the overgrowth of previously treeless localities with the transition from grassy to pseudo-forest communities (Ulmus foliaceae L., Acer negundo L., Elaeagnus angustifolia L.).
- The emission of additional amount of terpenes and other aeroions into the air (various types of coniferous and deciduous trees and shrubs), which can act as centers of water vapor condensation.
The direct or indirect effects on carbon cycle (as well as nitrogen and phosphorus) may be connected with:
- The formation of leaf mass not eaten by local phytophages, replenishing the fund of leaf litter (Acer negundo L., Aesculus hyppocastanum L., species of Juglans genera.).
- The influence on the soil biological activity by stimulating or inhibiting the development of soil microbiota members (different tree species including Juglans cinerea L., J. mandshurica Maxim. , J. nigra L. and others).
- The changes in the soil nitrogen balance, especially pronounced for species with "symbiotic support" (Elaeagnus angustifolia L., Hyppophae ramnoides L.).
The above effects were detected by us for the few species including named above using various field and laboratory methods. Now we can consider them at the level of their identification as such Their scale assessment at the ecosystem level may become a next stage.
An analysis of the possibilities of identifying new pseudo-forest communities developing on the grassy deposits was carried out in local conditions by integrating ground-based survey data and remote sensing. This aspect seems to be valuable for our region with highly mosaic combination of natural, cultivated, anthropogenically transformed and other territories.
How to cite: Kavelenova, L., Prokhorova, N., Rozno, S., Pomogaybin, A., and Yankov, N.: Introduced species in new ecosystems: concerning possible distortions of local biogeochemical cycles, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-4827, https://doi.org/10.5194/egusphere-egu2020-4827, 2020.
EGU2020-5029 | Displays | BG3.6
On the traits of the nitrogen cycle in natural and anthropogenically disturbed ecosystems of the Sokol'i Mountains (Samara Region, Russia)Nataly Prokhorova, Yulia Makarova, and Lyudmila Kavelenova
The Sokol'i Mountains are a small continuation of the Zhiguli mountains on the Volga River left bank. We studied the quantitative characteristics of the mineral nitrogen forms content and the Azotobacter activity levels in soils along the ecological profile that crosses the Sokol'i Mountains massif from south to north from Samara city.
The plots in the profile were represented different types of plant communities: in the Samara city suburb adjacent to the Sokol'i Mountains - a part of the birch planting; on the southern, northern slopes and the watershed – the broad-leaved forest with a predominance of Tilia cordata Mill., Acer platanoides L. and Quercus robur L. with a small participation of Betula pendula Roth.; on the terraces and the bottom of the carbonate quarry at the northern slope of the mountains - sparse forests dominated by small-leaved species (Populus nigra L., P. tremula L.), and Pinus sylvestris L. with the addition of Salix sp.; near the quarry - rocky steppes and steppe meadows.
The main nitrogen suppliers to the geochemical cycle in the study area are the organic residues (leaf litter in the forest, steppe felt in steppes) and the fixation of atmosphere nitrogen. Nitrogen-containing compounds from atmospheric precipitation due to transport emissions and other sorts of air pollutions can also make a certain contribution into nitrogen cycle.
The broad-leaved species prevail in the natural forests of the Sokol'i Mountains, and small-leaved species and pine dominate in the secondary forest stands, which are formed during the self-growth of the former quarry. It is known that the litter of broad-leaved species is much richer in nitrogen than the litter of small-leaved and coniferous species. The undisturbed soils of the forest trial plots in the Sokol'i Mountains contain significantly more mineral forms of nitrogen (nitrites, nitrates, ammonium) than in the fine-grained soil fractions of the former quarry with their low fertility, as well as in the soils of stony steppes and steppe meadows.
The content of mineral forms of nitrogen directly correlates with the content of humus (correlation coefficient from 0.77 to 0.92), which is significantly higher in soils under natural broad-leaved forests. A high and reliable positive correlation was found for all analyzed forms of nitrogen among themselves (correlation coefficient from 0.64 to 1.0), which proves the natural pattern of nitrogen cycle in the study area.
A regular increase of the Azotobacter activity level in the humus-poor soils of the quarry and grassy ecosystems has been established. This activity was characterized by a negative correlative relationship with the content of humus and all mineral forms of nitrogen (correlation coefficient from 0.4 to 0.71).
The Azotobacter activity increases as soil alkalization rised, which is especially pronounced in the quarry.
In general, the nitrogen cycle occurring in the Sokol'i Mountains ecosystems demonstrates association with the type of plant organic matter, nitrogen fixation levels, with the influence of the anthropogenic activity ( past open-cast mining of raw materials and the self-growing of secondary forests in the former quarry).
How to cite: Prokhorova, N., Makarova, Y., and Kavelenova, L.: On the traits of the nitrogen cycle in natural and anthropogenically disturbed ecosystems of the Sokol'i Mountains (Samara Region, Russia), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5029, https://doi.org/10.5194/egusphere-egu2020-5029, 2020.
The Sokol'i Mountains are a small continuation of the Zhiguli mountains on the Volga River left bank. We studied the quantitative characteristics of the mineral nitrogen forms content and the Azotobacter activity levels in soils along the ecological profile that crosses the Sokol'i Mountains massif from south to north from Samara city.
The plots in the profile were represented different types of plant communities: in the Samara city suburb adjacent to the Sokol'i Mountains - a part of the birch planting; on the southern, northern slopes and the watershed – the broad-leaved forest with a predominance of Tilia cordata Mill., Acer platanoides L. and Quercus robur L. with a small participation of Betula pendula Roth.; on the terraces and the bottom of the carbonate quarry at the northern slope of the mountains - sparse forests dominated by small-leaved species (Populus nigra L., P. tremula L.), and Pinus sylvestris L. with the addition of Salix sp.; near the quarry - rocky steppes and steppe meadows.
The main nitrogen suppliers to the geochemical cycle in the study area are the organic residues (leaf litter in the forest, steppe felt in steppes) and the fixation of atmosphere nitrogen. Nitrogen-containing compounds from atmospheric precipitation due to transport emissions and other sorts of air pollutions can also make a certain contribution into nitrogen cycle.
The broad-leaved species prevail in the natural forests of the Sokol'i Mountains, and small-leaved species and pine dominate in the secondary forest stands, which are formed during the self-growth of the former quarry. It is known that the litter of broad-leaved species is much richer in nitrogen than the litter of small-leaved and coniferous species. The undisturbed soils of the forest trial plots in the Sokol'i Mountains contain significantly more mineral forms of nitrogen (nitrites, nitrates, ammonium) than in the fine-grained soil fractions of the former quarry with their low fertility, as well as in the soils of stony steppes and steppe meadows.
The content of mineral forms of nitrogen directly correlates with the content of humus (correlation coefficient from 0.77 to 0.92), which is significantly higher in soils under natural broad-leaved forests. A high and reliable positive correlation was found for all analyzed forms of nitrogen among themselves (correlation coefficient from 0.64 to 1.0), which proves the natural pattern of nitrogen cycle in the study area.
A regular increase of the Azotobacter activity level in the humus-poor soils of the quarry and grassy ecosystems has been established. This activity was characterized by a negative correlative relationship with the content of humus and all mineral forms of nitrogen (correlation coefficient from 0.4 to 0.71).
The Azotobacter activity increases as soil alkalization rised, which is especially pronounced in the quarry.
In general, the nitrogen cycle occurring in the Sokol'i Mountains ecosystems demonstrates association with the type of plant organic matter, nitrogen fixation levels, with the influence of the anthropogenic activity ( past open-cast mining of raw materials and the self-growing of secondary forests in the former quarry).
How to cite: Prokhorova, N., Makarova, Y., and Kavelenova, L.: On the traits of the nitrogen cycle in natural and anthropogenically disturbed ecosystems of the Sokol'i Mountains (Samara Region, Russia), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5029, https://doi.org/10.5194/egusphere-egu2020-5029, 2020.
EGU2020-5810 | Displays | BG3.6
Microelement mobile forms in southern taiga landscapes of the Central Forest State Biosphere Nature Reserve (Russia)Polina Enchilik, Elena Aseeva, Ivan Semenkov, Olga Samonova, Anastasia Iovcheva, Elena Terskaya, and Nikolay Kasimov
We investigated the vertical and spatial distribution of chemical elements (ChEs) in four cross-sections within a catena formed in typical southern taiga on Retiosols , underlying loess loams and carbonate moraine deposits. Catena located in the Tver' region (Russia). In plants (70 samples, 19 species) and soils (31 samples), the total content of the ChEs was determined by mass spectrometry. In soil samples, we measured pH, grain size and levels of ChE mobile fractions (exchangeable (F1), bound to organic complexes (F2) and bound to Fe and Mn hydroxides (F3).
In the A-horizons the average total concentration of Fe is 1,2%, Ti – 0,33%; Mn – 482 mg‧kg-1, Zr–292, Sr–90, Zn–39, Cr–21, Pb–21, Ni–9, Cu–8. The concentration of metal F1 diminishes in order: Fe>Mn>Sr>Zn, Pb>Ti, Cr, Ni, Cu, Co, Zr. The concentrations of F2 and F3 show the following order: Fe>Mn>>Ti, Zr, Pb>Co>Ni, Cu, Zn>Cr, Sr and Fe>Mn>Ti>Zn, Sr, Pb>Cr>Cu, Ni, Co>Zr, respectively.
In all studied Retisols, vertical distribution of the total Pb and Zr, F1 of Co, Fe, Mn, Pb and Zn, F2 of Cu, Fe, Pb and Zn, F3 of Pb accumulate in topsoil. For the total Co, Fe, Ni, Sr and Zn, F1 of Co, Cr, Cu, Mn, Pb, Zn and Zr, F2 of Co, Cr, Cu, Fe, Mn, Ni, Pb, Zn and Zr and F3 of Co, Cr, Cu, Ti, Zn, Zr the loss from the albic horizons and/or the accumulation in the argic horizons were registered.
Spatial distribution of the total concentration of ChEs increases in the A-horizon in the upper part of the catena slope position. In the A-horizons at footslope and toeslope positions, the concentration of F1 Ni, Cu, Sr and Zr, F2 Ni, Cu and Zn increases, and the concentration F2 of Co, Cr, Pb, Ti and Zn, F2 of Cr, Ti and Co, F3 of Mn, Ni, Zn, Pb, Zr decreases.
Ratios calculated on the basis of the total and mobile element content were applied to evaluate biogenic migration of ChEs with different biophilicity in the "plant-soil" system. According to soil-to-plant transfer ratios, Mn, Zn and Cd are actively involved in biological accumulation. Participation in biological accumulation of Mn and Zn was noted in many works (Avessalomova, 2007; Isachenkova, Tarzayeva, 2006, Kadata-Pendias, Szteke, 2015)
Mn and Zn have important physiological significance in plants; they actively migrate in plant tissues. Cd is not a necessary ChEs for plants but is easily absorbed by the root system and leaves (Kabata-Pendias, 2011). Cationic elements (Cd and Zn) have high mobility in the soils (Jen-How Huang, 2011). Our results indicate that in the reference forest communities, tree species play the major role in the uptake and turnover of biophilic microelements (Mn, Zn, Co) while sphagnum moss and grassy covers mostly absorb the elements with low biophilicity (Fe, Ti, Cr, Zr, Pb). Metabolic pathways carry out the absorption of Fe and Cr (Kabata-Pendias, 2011).
How to cite: Enchilik, P., Aseeva, E., Semenkov, I., Samonova, O., Iovcheva, A., Terskaya, E., and Kasimov, N.: Microelement mobile forms in southern taiga landscapes of the Central Forest State Biosphere Nature Reserve (Russia), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5810, https://doi.org/10.5194/egusphere-egu2020-5810, 2020.
We investigated the vertical and spatial distribution of chemical elements (ChEs) in four cross-sections within a catena formed in typical southern taiga on Retiosols , underlying loess loams and carbonate moraine deposits. Catena located in the Tver' region (Russia). In plants (70 samples, 19 species) and soils (31 samples), the total content of the ChEs was determined by mass spectrometry. In soil samples, we measured pH, grain size and levels of ChE mobile fractions (exchangeable (F1), bound to organic complexes (F2) and bound to Fe and Mn hydroxides (F3).
In the A-horizons the average total concentration of Fe is 1,2%, Ti – 0,33%; Mn – 482 mg‧kg-1, Zr–292, Sr–90, Zn–39, Cr–21, Pb–21, Ni–9, Cu–8. The concentration of metal F1 diminishes in order: Fe>Mn>Sr>Zn, Pb>Ti, Cr, Ni, Cu, Co, Zr. The concentrations of F2 and F3 show the following order: Fe>Mn>>Ti, Zr, Pb>Co>Ni, Cu, Zn>Cr, Sr and Fe>Mn>Ti>Zn, Sr, Pb>Cr>Cu, Ni, Co>Zr, respectively.
In all studied Retisols, vertical distribution of the total Pb and Zr, F1 of Co, Fe, Mn, Pb and Zn, F2 of Cu, Fe, Pb and Zn, F3 of Pb accumulate in topsoil. For the total Co, Fe, Ni, Sr and Zn, F1 of Co, Cr, Cu, Mn, Pb, Zn and Zr, F2 of Co, Cr, Cu, Fe, Mn, Ni, Pb, Zn and Zr and F3 of Co, Cr, Cu, Ti, Zn, Zr the loss from the albic horizons and/or the accumulation in the argic horizons were registered.
Spatial distribution of the total concentration of ChEs increases in the A-horizon in the upper part of the catena slope position. In the A-horizons at footslope and toeslope positions, the concentration of F1 Ni, Cu, Sr and Zr, F2 Ni, Cu and Zn increases, and the concentration F2 of Co, Cr, Pb, Ti and Zn, F2 of Cr, Ti and Co, F3 of Mn, Ni, Zn, Pb, Zr decreases.
Ratios calculated on the basis of the total and mobile element content were applied to evaluate biogenic migration of ChEs with different biophilicity in the "plant-soil" system. According to soil-to-plant transfer ratios, Mn, Zn and Cd are actively involved in biological accumulation. Participation in biological accumulation of Mn and Zn was noted in many works (Avessalomova, 2007; Isachenkova, Tarzayeva, 2006, Kadata-Pendias, Szteke, 2015)
Mn and Zn have important physiological significance in plants; they actively migrate in plant tissues. Cd is not a necessary ChEs for plants but is easily absorbed by the root system and leaves (Kabata-Pendias, 2011). Cationic elements (Cd and Zn) have high mobility in the soils (Jen-How Huang, 2011). Our results indicate that in the reference forest communities, tree species play the major role in the uptake and turnover of biophilic microelements (Mn, Zn, Co) while sphagnum moss and grassy covers mostly absorb the elements with low biophilicity (Fe, Ti, Cr, Zr, Pb). Metabolic pathways carry out the absorption of Fe and Cr (Kabata-Pendias, 2011).
How to cite: Enchilik, P., Aseeva, E., Semenkov, I., Samonova, O., Iovcheva, A., Terskaya, E., and Kasimov, N.: Microelement mobile forms in southern taiga landscapes of the Central Forest State Biosphere Nature Reserve (Russia), EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5810, https://doi.org/10.5194/egusphere-egu2020-5810, 2020.
EGU2020-5856 | Displays | BG3.6
The hydraulic conductivity of wounded xylemSara Bonetti, Daniel Breitenstein, Simone Fatichi, Jean-Christophe Domec, and Dani Or
The xylem specific hydraulic conductivity (ks) is a key trait for the description of the plant’s ability to sustain the long-distance water transport required for transpiration. In this work, we systematically analyze xylem flow in several woody plants with contrasting anatomical traits combining flow experiments under different hydraulic pressure gradients. Results show a time and pressure dependence of ks similar to observations made a century ago by Dixon (1914). We mainly attribute the persistent drop in ks, accentuated with higher-pressure gradients, to a wounding response of the xylem tissues. Evidence suggests that wounded xylem tissue releases polysaccharides (prominently pectin) that gradually occlude xylem conduits. The macroscopic definition of K is further affected by complex microscopic xylem dynamics, with a key role of the xylem network topology, interconduit pit membrane flexibility, and redundancy of flow paths. These findings validate the picture of a complex and delicate conductive system whose hydraulic behavior goes beyond that of passive and inert deadwood. Notable implications for xylem conceptualization, measurements protocols, as well as ecosystem modeling applications are discussed.
How to cite: Bonetti, S., Breitenstein, D., Fatichi, S., Domec, J.-C., and Or, D.: The hydraulic conductivity of wounded xylem, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5856, https://doi.org/10.5194/egusphere-egu2020-5856, 2020.
The xylem specific hydraulic conductivity (ks) is a key trait for the description of the plant’s ability to sustain the long-distance water transport required for transpiration. In this work, we systematically analyze xylem flow in several woody plants with contrasting anatomical traits combining flow experiments under different hydraulic pressure gradients. Results show a time and pressure dependence of ks similar to observations made a century ago by Dixon (1914). We mainly attribute the persistent drop in ks, accentuated with higher-pressure gradients, to a wounding response of the xylem tissues. Evidence suggests that wounded xylem tissue releases polysaccharides (prominently pectin) that gradually occlude xylem conduits. The macroscopic definition of K is further affected by complex microscopic xylem dynamics, with a key role of the xylem network topology, interconduit pit membrane flexibility, and redundancy of flow paths. These findings validate the picture of a complex and delicate conductive system whose hydraulic behavior goes beyond that of passive and inert deadwood. Notable implications for xylem conceptualization, measurements protocols, as well as ecosystem modeling applications are discussed.
How to cite: Bonetti, S., Breitenstein, D., Fatichi, S., Domec, J.-C., and Or, D.: The hydraulic conductivity of wounded xylem, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-5856, https://doi.org/10.5194/egusphere-egu2020-5856, 2020.
EGU2020-6133 | Displays | BG3.6
Sapwood proportion and nitrogen content in boreal and temperate tree speciesMartin Thurner, Christian Beer, and Thomas Hickler
The spatial and temporal variation in plant respiration is one of the largest unknowns in the global land carbon budget. While respiration rates are directly related to temperature, plant respiration of trees is also determined by their stem sapwood proportion, tissue nitrogen (N) contents and other factors. The sapwood proportion is related to the biomass fraction of respiring living cells in the tree stem. The respiratory costs that plants have to invest to maintain basic functions (maintenance respiration) are related to the vegetation N content, since maintenance respiration supports protein repair and replacement, and most plant organic N is in proteins.
Here we explore the variation and underlying drivers in these two plant traits (stem sapwood proportion, tissue N contents) and derive novel estimates of their spatial distribution in northern hemisphere boreal and temperate forests. For the first task, we make use of measurements of sapwood and total cross-sectional area in tree stems and of N contents per dry matter in stems, roots and leaves. Such data are collected from plant trait databases like TRY, the biomass and allometry database (BAAD) and extensive literature reviews covering the most common boreal and temperate tree species. For the second task, we apply the derived tree level relationships between these traits and the underlying drivers (species, climate, soil variables) in combination with satellite radar remote sensing based products of compartment (stem, branch, root and leaf) biomass and tree species distribution maps covering the entire northern boreal and temperate forests.
We find that both the proportion of sapwood to total stem biomass and the response of the N content to environmental conditions are fundamentally different among tree genera. For instance, the sapwood proportions are spanning from 20–30% in larch to > 70% in pine and birch forests. These findings highlight the need to consider genera-specific differences when estimating the response of plant respiration to changes in climate and forest management.
How to cite: Thurner, M., Beer, C., and Hickler, T.: Sapwood proportion and nitrogen content in boreal and temperate tree species, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6133, https://doi.org/10.5194/egusphere-egu2020-6133, 2020.
The spatial and temporal variation in plant respiration is one of the largest unknowns in the global land carbon budget. While respiration rates are directly related to temperature, plant respiration of trees is also determined by their stem sapwood proportion, tissue nitrogen (N) contents and other factors. The sapwood proportion is related to the biomass fraction of respiring living cells in the tree stem. The respiratory costs that plants have to invest to maintain basic functions (maintenance respiration) are related to the vegetation N content, since maintenance respiration supports protein repair and replacement, and most plant organic N is in proteins.
Here we explore the variation and underlying drivers in these two plant traits (stem sapwood proportion, tissue N contents) and derive novel estimates of their spatial distribution in northern hemisphere boreal and temperate forests. For the first task, we make use of measurements of sapwood and total cross-sectional area in tree stems and of N contents per dry matter in stems, roots and leaves. Such data are collected from plant trait databases like TRY, the biomass and allometry database (BAAD) and extensive literature reviews covering the most common boreal and temperate tree species. For the second task, we apply the derived tree level relationships between these traits and the underlying drivers (species, climate, soil variables) in combination with satellite radar remote sensing based products of compartment (stem, branch, root and leaf) biomass and tree species distribution maps covering the entire northern boreal and temperate forests.
We find that both the proportion of sapwood to total stem biomass and the response of the N content to environmental conditions are fundamentally different among tree genera. For instance, the sapwood proportions are spanning from 20–30% in larch to > 70% in pine and birch forests. These findings highlight the need to consider genera-specific differences when estimating the response of plant respiration to changes in climate and forest management.
How to cite: Thurner, M., Beer, C., and Hickler, T.: Sapwood proportion and nitrogen content in boreal and temperate tree species, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6133, https://doi.org/10.5194/egusphere-egu2020-6133, 2020.
EGU2020-6703 | Displays | BG3.6
A synthesis-analysis of winter oilseed rape (Brassica napus L.) yield response to planting density under intensive cropping systemRihuan Cong, Zhi Zhang, and Jianwei Lu
Background: Optimal yield is dependent on the collocations between plant population and individual growth. High plant populations for direct sown winter oilseed rape would be a prevailing way to achieve high yield under intensive cropping systems.
Results: We investigated the oilseed rape yield response to planting density while considering the productivity environment, nitrogen (N) fertilizer, and sowing date. A synthesis-analysis was conducted by collecting the density-yield data in the field experiments of oilseed rape from 2000 to 2016 in China. The population yield response to different planting density levels could be described by a quadratic model, with threshold value of 45-60 plant m-2, and excessive density may cause yield loss as the weak individual growth. High planting density has no remarkable influence on the attainable population yield due to the decreasing individual potential yield. The population yield increment capacity by the increasing planting density was higher in medium yield environment (i.e., average yield at 1500-2500 kg ha-1). The planting density presented remarkably effect on population yield after the N limitation was relieved. Increasing planting density at 104 plants per hectare was equivalent to apply 1.17 kg N fertilizer on population yield, ranging from 0.42 kg to 4.76 kg under different yield environment levels. Yield loss caused by unsuitable sowing date (especially for the late sowing) could be compensated by increasing planting density.
Conclusion: Planting density played a crucial role in cooperating the other management practices. Optimizing the allocation of plant population and individual growth, establishing target plant phenotype under high planting density would help to achieve high population yield.
How to cite: Cong, R., Zhang, Z., and Lu, J.: A synthesis-analysis of winter oilseed rape (Brassica napus L.) yield response to planting density under intensive cropping system, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6703, https://doi.org/10.5194/egusphere-egu2020-6703, 2020.
Background: Optimal yield is dependent on the collocations between plant population and individual growth. High plant populations for direct sown winter oilseed rape would be a prevailing way to achieve high yield under intensive cropping systems.
Results: We investigated the oilseed rape yield response to planting density while considering the productivity environment, nitrogen (N) fertilizer, and sowing date. A synthesis-analysis was conducted by collecting the density-yield data in the field experiments of oilseed rape from 2000 to 2016 in China. The population yield response to different planting density levels could be described by a quadratic model, with threshold value of 45-60 plant m-2, and excessive density may cause yield loss as the weak individual growth. High planting density has no remarkable influence on the attainable population yield due to the decreasing individual potential yield. The population yield increment capacity by the increasing planting density was higher in medium yield environment (i.e., average yield at 1500-2500 kg ha-1). The planting density presented remarkably effect on population yield after the N limitation was relieved. Increasing planting density at 104 plants per hectare was equivalent to apply 1.17 kg N fertilizer on population yield, ranging from 0.42 kg to 4.76 kg under different yield environment levels. Yield loss caused by unsuitable sowing date (especially for the late sowing) could be compensated by increasing planting density.
Conclusion: Planting density played a crucial role in cooperating the other management practices. Optimizing the allocation of plant population and individual growth, establishing target plant phenotype under high planting density would help to achieve high population yield.
How to cite: Cong, R., Zhang, Z., and Lu, J.: A synthesis-analysis of winter oilseed rape (Brassica napus L.) yield response to planting density under intensive cropping system, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6703, https://doi.org/10.5194/egusphere-egu2020-6703, 2020.
EGU2020-7079 | Displays | BG3.6
Multiple drivers of seasonal and interannual variation in Pmax: Implications for leaf photosynthesis of Artemisia ordosicaYun Tian, Tianshan Zha, and Xin Jia
Revealing the seasonal and interannual variations in leaf-level photosynthesis is a critical issue in understanding the ecological mechanisms underlying the dynamics of carbon dioxide exchange between the atmosphere and shrub ecosystem. Artemisia ordosica is a dominant shrub species in semi-arid area of northwest China. Photosynthetic gas exchange, leaf nitrogen content(LN), specific leaf area (SLA) and some environmental factors were measured simultaneously on clear days (rotated every 10 days) of the growing season from 2011 to 2018, to quantify the temporal variations and environmental controls of photosynthetic parameters. Our results demonstrated that mean value of light-response curve parameters, the maximum photosynthetic capacity (Pmax), appear quality efficiency (AQE), respiration in dark (Rd), light saturated point (LSP) and light compensated point (LCP) had a gradual decline with the growth (spring> summer>autumn). Structural equation modeling (SEM) was used to elucidate the direct and indirect effects of biophysical factors on Pmax. The driven factors of Pmax in growing season changed, but stomatal conductance (gs) was the dominant factor in all stages. The gs was influenced by SLA and LN,and the soil water content at a depth of 10cm (SWC10) affected the Pmax in spring. In summer, Pmax was significantly positively related with gs and transpiration rate (Tr), and gs was influenced by SLA, LN and soil water content at a depth of 30cm (SWC30). In autumn, Pmax was significantly positively correlated with gs, while was significantly negatively correlated with air temperature (Ta). This simulation based on situ ecophysiological research suggest that Pmax of A. ordosica responded to the environment factors of seasonal and interannual variations, which is not the inherent genetic characteristics. Soil water content is the major environmental factor influencing Pmax in spring and summer, while Ta is the major one in autumn. Knowledge of how environmental change will affect the photosynthesis of A. ordosica in the future is essential for their protection, adaptation strategies and carbon fixation prediction in shrub ecosystems.
How to cite: Tian, Y., Zha, T., and Jia, X.: Multiple drivers of seasonal and interannual variation in Pmax: Implications for leaf photosynthesis of Artemisia ordosica, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7079, https://doi.org/10.5194/egusphere-egu2020-7079, 2020.
Revealing the seasonal and interannual variations in leaf-level photosynthesis is a critical issue in understanding the ecological mechanisms underlying the dynamics of carbon dioxide exchange between the atmosphere and shrub ecosystem. Artemisia ordosica is a dominant shrub species in semi-arid area of northwest China. Photosynthetic gas exchange, leaf nitrogen content(LN), specific leaf area (SLA) and some environmental factors were measured simultaneously on clear days (rotated every 10 days) of the growing season from 2011 to 2018, to quantify the temporal variations and environmental controls of photosynthetic parameters. Our results demonstrated that mean value of light-response curve parameters, the maximum photosynthetic capacity (Pmax), appear quality efficiency (AQE), respiration in dark (Rd), light saturated point (LSP) and light compensated point (LCP) had a gradual decline with the growth (spring> summer>autumn). Structural equation modeling (SEM) was used to elucidate the direct and indirect effects of biophysical factors on Pmax. The driven factors of Pmax in growing season changed, but stomatal conductance (gs) was the dominant factor in all stages. The gs was influenced by SLA and LN,and the soil water content at a depth of 10cm (SWC10) affected the Pmax in spring. In summer, Pmax was significantly positively related with gs and transpiration rate (Tr), and gs was influenced by SLA, LN and soil water content at a depth of 30cm (SWC30). In autumn, Pmax was significantly positively correlated with gs, while was significantly negatively correlated with air temperature (Ta). This simulation based on situ ecophysiological research suggest that Pmax of A. ordosica responded to the environment factors of seasonal and interannual variations, which is not the inherent genetic characteristics. Soil water content is the major environmental factor influencing Pmax in spring and summer, while Ta is the major one in autumn. Knowledge of how environmental change will affect the photosynthesis of A. ordosica in the future is essential for their protection, adaptation strategies and carbon fixation prediction in shrub ecosystems.
How to cite: Tian, Y., Zha, T., and Jia, X.: Multiple drivers of seasonal and interannual variation in Pmax: Implications for leaf photosynthesis of Artemisia ordosica, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7079, https://doi.org/10.5194/egusphere-egu2020-7079, 2020.
EGU2020-8113 | Displays | BG3.6
Assessing responses to climate stressors in two contrasting pine speciesDaniel Nadal-Sala, Benjamin Birami, Romy Rehschuh, Marielle Gattmann, Ruediger Grote, Jose Grünzweig, Yakir Preisler, Yann Salmon, Fedor Tatarinov, Dan Yakir, and Nadine Ruehr
EGU2020-8259 | Displays | BG3.6
Causality in the diversity-abundance relationship across the main World’s forest biomes: insights for nature-based mitigation solutionsJaime Madrigal-Gonzalez and the World's natural forests
Increasing evidence now exists for a tight connection between tree diversity and carbon storage capacity. As part of the Paris Agreement (COP21), forests play a critical and prominent role to reach the ambitious goal of net-zero emissions in the second half of this century. Besides reducing emissions from deforestation and forest degradation (also known as REDD), maintaining and enriching tree assemblages could thus help mitigating climate change via increased abundance and more efficient resource use.
However, recent evidence questions this widespread idea of positive diversity effects on forest carbon storage. Specifically, tree diversity may not always be a causal mechanism but rather a consequence of tree abundance and productivity (following the ‘more individuals hypothesis’). To test these contrasting hypotheses, this contribution analyses the most plausible causal pathways and their stability along global climatic gradients in the diversity-abundance relationship across the World’s main forest biomes, using a dataset comprising more than 2,500 forest plots and 83,800 trees sampled in pristine forest landscapes in all continents (except Antarctica).
We demonstrate that causal relations can be reconciled along global climate gradients, with diversity effects prevailing in the most productive environments, and abundance effects becoming dominant towards the most limiting conditions. These findings have major implications on climate change mitigation strategies aimed at carbon sequestration: we find that future nature-based mitigation solutions focused on fostering biodiversity will only be cost-effective in productive forest landscapes. In less productive environments, by contrast, mitigation measures should promote the abundance of locally adapted functional strategies. Conservation of species diversity in equatorial and tropical areas is thus a priority, not only to preserve the inherent value of biodiversity but also to achieve the global goals on atmospheric decarbonization. In less productive lands on Earth, the conservation of abundance through productivity should be posed, next to diversity, as a major element in environmental policies and land management.
How to cite: Madrigal-Gonzalez, J. and the World's natural forests: Causality in the diversity-abundance relationship across the main World’s forest biomes: insights for nature-based mitigation solutions, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8259, https://doi.org/10.5194/egusphere-egu2020-8259, 2020.
Increasing evidence now exists for a tight connection between tree diversity and carbon storage capacity. As part of the Paris Agreement (COP21), forests play a critical and prominent role to reach the ambitious goal of net-zero emissions in the second half of this century. Besides reducing emissions from deforestation and forest degradation (also known as REDD), maintaining and enriching tree assemblages could thus help mitigating climate change via increased abundance and more efficient resource use.
However, recent evidence questions this widespread idea of positive diversity effects on forest carbon storage. Specifically, tree diversity may not always be a causal mechanism but rather a consequence of tree abundance and productivity (following the ‘more individuals hypothesis’). To test these contrasting hypotheses, this contribution analyses the most plausible causal pathways and their stability along global climatic gradients in the diversity-abundance relationship across the World’s main forest biomes, using a dataset comprising more than 2,500 forest plots and 83,800 trees sampled in pristine forest landscapes in all continents (except Antarctica).
We demonstrate that causal relations can be reconciled along global climate gradients, with diversity effects prevailing in the most productive environments, and abundance effects becoming dominant towards the most limiting conditions. These findings have major implications on climate change mitigation strategies aimed at carbon sequestration: we find that future nature-based mitigation solutions focused on fostering biodiversity will only be cost-effective in productive forest landscapes. In less productive environments, by contrast, mitigation measures should promote the abundance of locally adapted functional strategies. Conservation of species diversity in equatorial and tropical areas is thus a priority, not only to preserve the inherent value of biodiversity but also to achieve the global goals on atmospheric decarbonization. In less productive lands on Earth, the conservation of abundance through productivity should be posed, next to diversity, as a major element in environmental policies and land management.
How to cite: Madrigal-Gonzalez, J. and the World's natural forests: Causality in the diversity-abundance relationship across the main World’s forest biomes: insights for nature-based mitigation solutions, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8259, https://doi.org/10.5194/egusphere-egu2020-8259, 2020.
EGU2020-8838 | Displays | BG3.6
The impacts of CO2 enrichment on the plant resources utilization efficiency of Schima superba seedlings in subtropical ChinaJixin Cao, Hong Pan, Zhan Chen, and He Shang
The resources (light, nitrogen and water) utilization efficiency of plant is a key indicator reflecting the adaptive ability of plant to environment. CO2 enrichment would increase photosynthesis substrate supply and nutrient absorption in plants,and may also change the utilization efficiencies of light (LUE), nitrogen (NUE) and water (WUE) and their trade-offs relationship. However, the knowledge regarding how the LUE, NUE and WUE of woody plant change in the context of CO2 enrichment is still weak. In order to understand the impacts of CO2 enrichment on the LUE, NUE and WUE of Schima superba and their trade-offs, one-year-old container seedlings of S. superba were grown with ambient air (AA treatment), 550 ppm of CO2 concentration (E1-CO2 treatment), 750 ppm of CO2 concentration ( E2-CO2 treatment) and 1000ppm of CO2 concentration (E3-CO2 treatment) using open top chambers. In the growing season, we regularly examined the net photosynthetic rate, stomatal conductance, transpiration rate, nitrogen concentration and photosynthetic pigment concentration of S. superba leaves. In addition, the different organ biomass, leaf area, soil nitrate and ammonium nitrogen concentrations were also simultaneously examined. The results demonstrate that three CO2 enrichment treatments significantly increased the LUE and NUE of S. superba leaves at the end of June, while the leaf nitrogen concentration and soil nitrate nitrogen significantly decreased under both the E2-CO2 and E3-CO2 treatments compared with those under the AA treatment. In contrast, only the E1-CO2 treatment significantly increased the LUE and NUE of S. superba leaves at the end of August. The NUE of S. superba leaves under both the E2-CO2 and E3-CO2 treatments were significantly higher than that under the AA treatment at the end of October. With regard to the WUE of S. superba leaves, there were no significant differences between the four treatments. At the end of October, the total biomass of S. superba under the E1-CO2 treatment was significantly higher than that under both the AA and E3-CO2 treatments, while the total biomass of S. superba under the AA treatment was not significantly different from that under both the E2-CO2 and E3-CO2treatments. During the experiment, the LUE, NUE, stomatal conductance, and transpiration rate of S. superba leaves were significantly and positively related to each other. The LUE also had a significantly positive correlation with specific leaf weight. Furthermore, the NUE was significantly and positively correlated with the total biomass and the ratio of underground and aboveground biomass. Meanwhile, the NUE was significantly and negatively correlated with the chlorophyll a concentration, chlorophyll b concentration, carotenoid concentration, leaf nitrogen concentration, soil ammonia nitrogen and nitrate nitrogen concentration. The WUE was significantly and negatively related to the stomatal conductance, transpiration rate and total biomass. CO2 enrichment may enhance both the LUE and NUE of S. superba seedlings, whereas the impacts of CO2 enrichment on the LUE and NUE of S. superba seedlings varied with time. S. superba seedlings would appear photosynthesis acclimation with the persistently high CO2 enrichment.
How to cite: Cao, J., Pan, H., Chen, Z., and Shang, H.: The impacts of CO2 enrichment on the plant resources utilization efficiency of Schima superba seedlings in subtropical China, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8838, https://doi.org/10.5194/egusphere-egu2020-8838, 2020.
The resources (light, nitrogen and water) utilization efficiency of plant is a key indicator reflecting the adaptive ability of plant to environment. CO2 enrichment would increase photosynthesis substrate supply and nutrient absorption in plants,and may also change the utilization efficiencies of light (LUE), nitrogen (NUE) and water (WUE) and their trade-offs relationship. However, the knowledge regarding how the LUE, NUE and WUE of woody plant change in the context of CO2 enrichment is still weak. In order to understand the impacts of CO2 enrichment on the LUE, NUE and WUE of Schima superba and their trade-offs, one-year-old container seedlings of S. superba were grown with ambient air (AA treatment), 550 ppm of CO2 concentration (E1-CO2 treatment), 750 ppm of CO2 concentration ( E2-CO2 treatment) and 1000ppm of CO2 concentration (E3-CO2 treatment) using open top chambers. In the growing season, we regularly examined the net photosynthetic rate, stomatal conductance, transpiration rate, nitrogen concentration and photosynthetic pigment concentration of S. superba leaves. In addition, the different organ biomass, leaf area, soil nitrate and ammonium nitrogen concentrations were also simultaneously examined. The results demonstrate that three CO2 enrichment treatments significantly increased the LUE and NUE of S. superba leaves at the end of June, while the leaf nitrogen concentration and soil nitrate nitrogen significantly decreased under both the E2-CO2 and E3-CO2 treatments compared with those under the AA treatment. In contrast, only the E1-CO2 treatment significantly increased the LUE and NUE of S. superba leaves at the end of August. The NUE of S. superba leaves under both the E2-CO2 and E3-CO2 treatments were significantly higher than that under the AA treatment at the end of October. With regard to the WUE of S. superba leaves, there were no significant differences between the four treatments. At the end of October, the total biomass of S. superba under the E1-CO2 treatment was significantly higher than that under both the AA and E3-CO2 treatments, while the total biomass of S. superba under the AA treatment was not significantly different from that under both the E2-CO2 and E3-CO2treatments. During the experiment, the LUE, NUE, stomatal conductance, and transpiration rate of S. superba leaves were significantly and positively related to each other. The LUE also had a significantly positive correlation with specific leaf weight. Furthermore, the NUE was significantly and positively correlated with the total biomass and the ratio of underground and aboveground biomass. Meanwhile, the NUE was significantly and negatively correlated with the chlorophyll a concentration, chlorophyll b concentration, carotenoid concentration, leaf nitrogen concentration, soil ammonia nitrogen and nitrate nitrogen concentration. The WUE was significantly and negatively related to the stomatal conductance, transpiration rate and total biomass. CO2 enrichment may enhance both the LUE and NUE of S. superba seedlings, whereas the impacts of CO2 enrichment on the LUE and NUE of S. superba seedlings varied with time. S. superba seedlings would appear photosynthesis acclimation with the persistently high CO2 enrichment.
How to cite: Cao, J., Pan, H., Chen, Z., and Shang, H.: The impacts of CO2 enrichment on the plant resources utilization efficiency of Schima superba seedlings in subtropical China, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8838, https://doi.org/10.5194/egusphere-egu2020-8838, 2020.
EGU2020-9609 | Displays | BG3.6
Global evaluation of the nutrient enabled version of land surface model ORCHIDEE-CNP (v1.2)Yan Sun, Daniel S Goll, Jinfeng Chang, Philippe Ciais, Betrand Guenet, Julian Helfenstein, YuanYuan Huang, Ronny Lauerwald, Fabienne Maignan, Victoria Naipal, Yilong Wang, Hui Yang, and Haicheng Zhang
Future land carbon (C) uptake under climate changes and rising atmospheric CO2 is influenced by nitrogen (N) and phosphorus (P) constraints. A few existing land surface models (LSMs) account for both N and P dynamics, but lack comprehensive evaluation. This will lead to large uncertainty in estimating the P effect on terrestrial C cycles. With the increasing number of measurements and data-driven products for N- and P- related variables, comprehensive model evaluations on large scale is becoming feasible.
In this study, we evaluated the performance of ORCHIDEE-CNP (v1.2) which explicitly simulates N and P cycles in plant and soil, in four aspects: 1) terrestrial C fluxes, 2) N and P fluxes and budget, 3) leaf and soil stoichiometry and 4) resource use efficiencies. We found that ORCHIDEE-CNP improves the simulation of the magnitude of gross primary productivity (GPP) due to more realistic strength of the CO2 fertilization effect of GPP than the without-nutrient-version ORCHIDEE. However, ORCHIDEE-CNP cannot capture the positive and increasing C sink in North Hemisphere over past decades, which is mainly due to that a large fraction of N and P ‘locked’ in soil organic matter cannot be re-allocated into vegetation and leads to a strong N and P limitation on plant growth. ORCHIDEE-CNP generally simulates comparable global total N and P fluxes (e.g. N biofixation, P weathering, N and P uptake etc.) for both natural and agricultural biomes. Overall, ORCHIDEE-CNP doesn’t performance worse in C fluxes than ORCHIDEE, and gives reasonable N and P cycles, which is acceptable in simulating the coupling relationships between C, N and P cycles can be used to explore the nutrient limitations on land C sink from present to the future.
How to cite: Sun, Y., S Goll, D., Chang, J., Ciais, P., Guenet, B., Helfenstein, J., Huang, Y., Lauerwald, R., Maignan, F., Naipal, V., Wang, Y., Yang, H., and Zhang, H.: Global evaluation of the nutrient enabled version of land surface model ORCHIDEE-CNP (v1.2) , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9609, https://doi.org/10.5194/egusphere-egu2020-9609, 2020.
Future land carbon (C) uptake under climate changes and rising atmospheric CO2 is influenced by nitrogen (N) and phosphorus (P) constraints. A few existing land surface models (LSMs) account for both N and P dynamics, but lack comprehensive evaluation. This will lead to large uncertainty in estimating the P effect on terrestrial C cycles. With the increasing number of measurements and data-driven products for N- and P- related variables, comprehensive model evaluations on large scale is becoming feasible.
In this study, we evaluated the performance of ORCHIDEE-CNP (v1.2) which explicitly simulates N and P cycles in plant and soil, in four aspects: 1) terrestrial C fluxes, 2) N and P fluxes and budget, 3) leaf and soil stoichiometry and 4) resource use efficiencies. We found that ORCHIDEE-CNP improves the simulation of the magnitude of gross primary productivity (GPP) due to more realistic strength of the CO2 fertilization effect of GPP than the without-nutrient-version ORCHIDEE. However, ORCHIDEE-CNP cannot capture the positive and increasing C sink in North Hemisphere over past decades, which is mainly due to that a large fraction of N and P ‘locked’ in soil organic matter cannot be re-allocated into vegetation and leads to a strong N and P limitation on plant growth. ORCHIDEE-CNP generally simulates comparable global total N and P fluxes (e.g. N biofixation, P weathering, N and P uptake etc.) for both natural and agricultural biomes. Overall, ORCHIDEE-CNP doesn’t performance worse in C fluxes than ORCHIDEE, and gives reasonable N and P cycles, which is acceptable in simulating the coupling relationships between C, N and P cycles can be used to explore the nutrient limitations on land C sink from present to the future.
How to cite: Sun, Y., S Goll, D., Chang, J., Ciais, P., Guenet, B., Helfenstein, J., Huang, Y., Lauerwald, R., Maignan, F., Naipal, V., Wang, Y., Yang, H., and Zhang, H.: Global evaluation of the nutrient enabled version of land surface model ORCHIDEE-CNP (v1.2) , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-9609, https://doi.org/10.5194/egusphere-egu2020-9609, 2020.
EGU2020-12373 | Displays | BG3.6
Shrub traits of forest and shrubland reveal different growth strategiesJian Ni, Jiayu Cao, and Quan Yuan
Shrub plants play important roles in both forest and shrubland ecosystems. Analyzing the differences of functional traits of shrubs grown in understory of forest communities and in various shrublands can explore the adaptation strategies of shrubs in different habitats. Nine functional traits of leaf and twig collected from 20 dominant shrub species in 24 plots distributed in three habitats: forest shrub layer, secondary shrubland and primary shrubland, in Beishan Mountain of Jinhua, Zhejiang Province, eastern China, were measured. The overall differences, inter- and intra-specific variations and the differences in various life forms of shrub traits in three different habitats were statistically analyzed. Results show that: 1) There are differences of nine plant traits for shrubs grown in three different habitats. The understory shrubs have larger leaf area (LA) and specific leaf area (SLA), smaller leaf dry matter content (LDMC), leaf tissue density (LTD) and twig tissue density (TTD), while shrubs in secondary shrubland have larger leaf thickness (LT) and LTD, smaller SLA and twig dry matter content (TDMC) compared with shrubs from the primary shrubland. 2) The intraspecific variation coefficients of SLA, twig diameter (TD), TTD, and TDMC in understory shrubs are the largest, while the interspecific variation coefficients of SLA, LDMC, TDMC, and TTD in secondary shrubland are the smallest. 3) Among different life forms, the understory evergreen shrubs have significant higher LT, LTD, and LDMC than deciduous shrubs, while deciduous shrubs have significant higher SLA than evergreen shrubs. The differences of LT and SLA between evergreen and deciduous shrubs of primary shrubland are the same as those of understory shrubs, but the differences of LTD and LDMC between evergreen and deciduous shrubs have the opposite trend. 4) The main source affecting shrub traits is species, along with an explanation ratio from 38.01% to 78.92%. The second source is habitat. In short, compared to shrubs from shrublands, understory shrubs in forest communities form a series of trait combinations that are larger LA and SLA, smaller LTD, TTD, and LDMC to adapt to the understory environment with less light and stronger competition. Secondary shrubland, compared to the primary shrubland, has a series of shrub trait combinations that are larger LT, LTD and TD, smaller LA, SLA, TDMC and twig bark thickness (TBT) to store more nutrients.
How to cite: Ni, J., Cao, J., and Yuan, Q.: Shrub traits of forest and shrubland reveal different growth strategies , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12373, https://doi.org/10.5194/egusphere-egu2020-12373, 2020.
Shrub plants play important roles in both forest and shrubland ecosystems. Analyzing the differences of functional traits of shrubs grown in understory of forest communities and in various shrublands can explore the adaptation strategies of shrubs in different habitats. Nine functional traits of leaf and twig collected from 20 dominant shrub species in 24 plots distributed in three habitats: forest shrub layer, secondary shrubland and primary shrubland, in Beishan Mountain of Jinhua, Zhejiang Province, eastern China, were measured. The overall differences, inter- and intra-specific variations and the differences in various life forms of shrub traits in three different habitats were statistically analyzed. Results show that: 1) There are differences of nine plant traits for shrubs grown in three different habitats. The understory shrubs have larger leaf area (LA) and specific leaf area (SLA), smaller leaf dry matter content (LDMC), leaf tissue density (LTD) and twig tissue density (TTD), while shrubs in secondary shrubland have larger leaf thickness (LT) and LTD, smaller SLA and twig dry matter content (TDMC) compared with shrubs from the primary shrubland. 2) The intraspecific variation coefficients of SLA, twig diameter (TD), TTD, and TDMC in understory shrubs are the largest, while the interspecific variation coefficients of SLA, LDMC, TDMC, and TTD in secondary shrubland are the smallest. 3) Among different life forms, the understory evergreen shrubs have significant higher LT, LTD, and LDMC than deciduous shrubs, while deciduous shrubs have significant higher SLA than evergreen shrubs. The differences of LT and SLA between evergreen and deciduous shrubs of primary shrubland are the same as those of understory shrubs, but the differences of LTD and LDMC between evergreen and deciduous shrubs have the opposite trend. 4) The main source affecting shrub traits is species, along with an explanation ratio from 38.01% to 78.92%. The second source is habitat. In short, compared to shrubs from shrublands, understory shrubs in forest communities form a series of trait combinations that are larger LA and SLA, smaller LTD, TTD, and LDMC to adapt to the understory environment with less light and stronger competition. Secondary shrubland, compared to the primary shrubland, has a series of shrub trait combinations that are larger LT, LTD and TD, smaller LA, SLA, TDMC and twig bark thickness (TBT) to store more nutrients.
How to cite: Ni, J., Cao, J., and Yuan, Q.: Shrub traits of forest and shrubland reveal different growth strategies , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12373, https://doi.org/10.5194/egusphere-egu2020-12373, 2020.
EGU2020-12887 | Displays | BG3.6
Genetic and environmental controls of tree water and nitrogen use efficiency of 5-year-old mango plantation in relation to mango fruit yield and size as well as soil fertility in tropical AustraliaWeiling Sun, Zhihong Xu, Paula Ibell, and Ian Bally
Purpose: This study was aimed to quantify the effect of different variety, planting density, training system and canopy position on tree water and nitrogen use efficiencies in relation to mango fruit yield and size as well as soil fertility in a 5-year-old mango plantation of tropical Australia.
Material and Methods: Soil (0-10 cm) and mango foliar samples were collected from a 5-year-old, factorial field experiment testing the effects of two mango varieties (Calypso vs Keitt), two planting densities (medium vs high), two training systems (single leader vs conventional) and two sampling canopy positions (north vs south) on foliar total carbon (TC, %), total nitrogen concentration (TN, %), and stable carbon (C) and nitrogen (N) isotope compositions (δ13C and δ15N) as well as the corresponding total C, total N and δ13C and δ15N in the surface soil of tropical Australia. In addition, mango fruit yields and sizes were determined. Soil and foliar total C and N as well as δ13C and δ15N were determined on mass spectrometers at Griffith University. Each of the above treatment was replicated 6 times for foliar samples and 3 times for soil samples.
Results: There were significant genetic effect on foliar total N concentration (TN, %), tree water use efficiency (WUE) as reflected by foliar δ13C, N use efficiency (NUE) as indicated by foliar TN and δ15N, mango fruit yield and sizes in the 5-year-old mango plantation of tropical Australia. Overall, mango variety of Keitt had higher tree WUE and NUE as well as higher mango yield and greater fruit size, compared with those of mango variety of Calypso. There were also significant environmental influences on mango tree WUE and NUE as well as mango yield and fruit size. In particular, high planting density had higher tree NUE, and lower WUE as well as higher N loss, compared with those of medium planting density. High planting density treatment also had higher soil total N, compared with that of medium planting density treatment. The convention training system also had higher tree NUE and WUE, compared with the single leader training system. The northern side of tree canopy (sunny side) had lower fruit number, compared with the southern side (shady side) of tree canopy.
Conclusion: There were significant genetic and environmental influences on tree WUE and NUE as well as mango fruit yield and sizes in the 5-year-old mango plantation, highlighting the significant and exciting opportunities to improve mango tree WUE and NUE as well as fruit yield and soil fertility with both genetic selection and site management regimes.
How to cite: Sun, W., Xu, Z., Ibell, P., and Bally, I.: Genetic and environmental controls of tree water and nitrogen use efficiency of 5-year-old mango plantation in relation to mango fruit yield and size as well as soil fertility in tropical Australia, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12887, https://doi.org/10.5194/egusphere-egu2020-12887, 2020.
Purpose: This study was aimed to quantify the effect of different variety, planting density, training system and canopy position on tree water and nitrogen use efficiencies in relation to mango fruit yield and size as well as soil fertility in a 5-year-old mango plantation of tropical Australia.
Material and Methods: Soil (0-10 cm) and mango foliar samples were collected from a 5-year-old, factorial field experiment testing the effects of two mango varieties (Calypso vs Keitt), two planting densities (medium vs high), two training systems (single leader vs conventional) and two sampling canopy positions (north vs south) on foliar total carbon (TC, %), total nitrogen concentration (TN, %), and stable carbon (C) and nitrogen (N) isotope compositions (δ13C and δ15N) as well as the corresponding total C, total N and δ13C and δ15N in the surface soil of tropical Australia. In addition, mango fruit yields and sizes were determined. Soil and foliar total C and N as well as δ13C and δ15N were determined on mass spectrometers at Griffith University. Each of the above treatment was replicated 6 times for foliar samples and 3 times for soil samples.
Results: There were significant genetic effect on foliar total N concentration (TN, %), tree water use efficiency (WUE) as reflected by foliar δ13C, N use efficiency (NUE) as indicated by foliar TN and δ15N, mango fruit yield and sizes in the 5-year-old mango plantation of tropical Australia. Overall, mango variety of Keitt had higher tree WUE and NUE as well as higher mango yield and greater fruit size, compared with those of mango variety of Calypso. There were also significant environmental influences on mango tree WUE and NUE as well as mango yield and fruit size. In particular, high planting density had higher tree NUE, and lower WUE as well as higher N loss, compared with those of medium planting density. High planting density treatment also had higher soil total N, compared with that of medium planting density treatment. The convention training system also had higher tree NUE and WUE, compared with the single leader training system. The northern side of tree canopy (sunny side) had lower fruit number, compared with the southern side (shady side) of tree canopy.
Conclusion: There were significant genetic and environmental influences on tree WUE and NUE as well as mango fruit yield and sizes in the 5-year-old mango plantation, highlighting the significant and exciting opportunities to improve mango tree WUE and NUE as well as fruit yield and soil fertility with both genetic selection and site management regimes.
How to cite: Sun, W., Xu, Z., Ibell, P., and Bally, I.: Genetic and environmental controls of tree water and nitrogen use efficiency of 5-year-old mango plantation in relation to mango fruit yield and size as well as soil fertility in tropical Australia, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12887, https://doi.org/10.5194/egusphere-egu2020-12887, 2020.
EGU2020-12891 | Displays | BG3.6
Flower Power: flower-strips host bees & sequester carbon in soilsVanessa Vetter, Hermann Jungkunst, Klaus Schützenmeister, and Constanze Buhk
Flower-strips are increasingly recognized as mandatory elements in agricultural landscapes for pollinators to survive. In this study, we raised the hypothesis that flower-strip traits additionally affect biogeochemical cycling towards climate change mitigation. Therefore, we investigated soil carbon and nutrients stocks in paired comparison to adjacent land use and looked at water retention.
Two study farms of 50 ha in southern Germany were sampled once in spring, summer and autumn. The examined flower-strips of both farms were sown in 2011 and are in use since then. Pairwise sampling reduces the influence of the expected high variation in soil parameters. For each pair we sampled 3 depths: topsoil (0-5 cm), plow horizon (20-25 cm) and subsoil (30-35 cm). Different parameters of soil carbon, nitrogen, nutrients and water will be presented with a focus on clay bonded carbon.
Preliminary results indicate that flower-strips significantly increased nitrogen availability, soil carbon stocks and accordingly showed a trend to improve the water storage capacity in the plow horizon. We did not observe a statistically significant effect on nutrient availability.
Provided that these results will be confirmed, flower-strips traits could go beyond the important trait of giving pollinators a home in vast agricultural landscapes. By slightly increasing the amount of flower-strips in these landscapes, a significant increase in carbon sequestration and water retention will be achievable adding to the 4 per mille goal of the UN.
How to cite: Vetter, V., Jungkunst, H., Schützenmeister, K., and Buhk, C.: Flower Power: flower-strips host bees & sequester carbon in soils, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12891, https://doi.org/10.5194/egusphere-egu2020-12891, 2020.
Flower-strips are increasingly recognized as mandatory elements in agricultural landscapes for pollinators to survive. In this study, we raised the hypothesis that flower-strip traits additionally affect biogeochemical cycling towards climate change mitigation. Therefore, we investigated soil carbon and nutrients stocks in paired comparison to adjacent land use and looked at water retention.
Two study farms of 50 ha in southern Germany were sampled once in spring, summer and autumn. The examined flower-strips of both farms were sown in 2011 and are in use since then. Pairwise sampling reduces the influence of the expected high variation in soil parameters. For each pair we sampled 3 depths: topsoil (0-5 cm), plow horizon (20-25 cm) and subsoil (30-35 cm). Different parameters of soil carbon, nitrogen, nutrients and water will be presented with a focus on clay bonded carbon.
Preliminary results indicate that flower-strips significantly increased nitrogen availability, soil carbon stocks and accordingly showed a trend to improve the water storage capacity in the plow horizon. We did not observe a statistically significant effect on nutrient availability.
Provided that these results will be confirmed, flower-strips traits could go beyond the important trait of giving pollinators a home in vast agricultural landscapes. By slightly increasing the amount of flower-strips in these landscapes, a significant increase in carbon sequestration and water retention will be achievable adding to the 4 per mille goal of the UN.
How to cite: Vetter, V., Jungkunst, H., Schützenmeister, K., and Buhk, C.: Flower Power: flower-strips host bees & sequester carbon in soils, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12891, https://doi.org/10.5194/egusphere-egu2020-12891, 2020.
EGU2020-13303 | Displays | BG3.6
Identifying canopy-scale adjustments to the extreme climate in a semi-arid pine forest using eddy covariance and close-range sensing dataHuanhuan Wang, Anatoly Gitelson, Michael Sprintsin, Eyal Rotenberg, and Dan Yakir
Semi-arid forests represent some of the most sensitive ecosystems to climate change. Identifying adjustments to extreme conditions can indicate their resilience, and that of forests undergoing increasing aridity trends. We used eddy covariance and close-range sensing measurements over four years in a semi-arid pine forest to identify canopy-scale adjustments to the short active season and long seasonal drought. Peaks in light use efficiency (LUE), leaf chlorophyll content (LCC), and increasing absorbed photosynthetic active radiation (APAR; based on canopy absorption coefficient in the green range), all converged to support an early peak (March) in gross primary productivity (GPP), exploiting the narrow optimum between PARin, temperature and the rapidly decreasing soil moisture in spring. In contrast, during the long dry period (>200 days), while PARin increased, LCC and LUE decreased, offering physiological photoprotection as GPP sharply declined under the stressful conditions. The strong negative correlation between ρNIR and PARin indicated canopy biophysical adjustments that enhance light absorption under low radiation and eliminate photodamage under excessive radiation. The results provide clear indications of canopy-scale adjustments underlying the high productivity of the forest and its resistance to the harsh conditions, which may soon apply to forests in currently milder climatic regions.
How to cite: Wang, H., Gitelson, A., Sprintsin, M., Rotenberg, E., and Yakir, D.: Identifying canopy-scale adjustments to the extreme climate in a semi-arid pine forest using eddy covariance and close-range sensing data, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13303, https://doi.org/10.5194/egusphere-egu2020-13303, 2020.
Semi-arid forests represent some of the most sensitive ecosystems to climate change. Identifying adjustments to extreme conditions can indicate their resilience, and that of forests undergoing increasing aridity trends. We used eddy covariance and close-range sensing measurements over four years in a semi-arid pine forest to identify canopy-scale adjustments to the short active season and long seasonal drought. Peaks in light use efficiency (LUE), leaf chlorophyll content (LCC), and increasing absorbed photosynthetic active radiation (APAR; based on canopy absorption coefficient in the green range), all converged to support an early peak (March) in gross primary productivity (GPP), exploiting the narrow optimum between PARin, temperature and the rapidly decreasing soil moisture in spring. In contrast, during the long dry period (>200 days), while PARin increased, LCC and LUE decreased, offering physiological photoprotection as GPP sharply declined under the stressful conditions. The strong negative correlation between ρNIR and PARin indicated canopy biophysical adjustments that enhance light absorption under low radiation and eliminate photodamage under excessive radiation. The results provide clear indications of canopy-scale adjustments underlying the high productivity of the forest and its resistance to the harsh conditions, which may soon apply to forests in currently milder climatic regions.
How to cite: Wang, H., Gitelson, A., Sprintsin, M., Rotenberg, E., and Yakir, D.: Identifying canopy-scale adjustments to the extreme climate in a semi-arid pine forest using eddy covariance and close-range sensing data, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13303, https://doi.org/10.5194/egusphere-egu2020-13303, 2020.
EGU2020-18535 | Displays | BG3.6
Drivers, climate sensitivity, and management of functional diversity in northeastern North AmericaDominik Thom, Anthony Taylor, Rupert Seidl, Wilfried Thuiller, Jiejie Wang, Marie Robideau, and William Keeton
The functional diversity (FD) represented by plant traits is fundamentally linked to the ecosystem’s capacity to respond to changes in the environment. Thus, there is an ongoing debate about including FD considerations in management plans to safeguard forests and their services to the society under climate change. However, incomplete scientific knowledge and difficulties to understand the concept of FD hinder the implementation of FD-based management approaches. Our study fills these knowledge gaps by (i) mapping the current distribution, (ii) analyzing the drivers, and (iii) testing the sensitivity of FD to projected increases in temperature and precipitation in northeastern North America. Following the stress-dominance hypothesis, we expected the strongest effect on FD from environmental filtering (i.e., climatic conditions) within our study region.
We combined a literature and database review of 44 traits for 43 tree species with terrestrial inventory data of 48,426 plots spanning an environmental gradient from northern boreal to temperate biomes. Employing multiple non-parametric models, we evaluated the impacts of 25 covariates on FD. Subsequently, we conducted a climate sensitivity analysis. The effect of rarity and commonness were tested for all outcomes using Hill numbers with different abundance weightings.
We identified FD hotspots in temperate forests and the boreal-temperate ecotone east and northeast of the Great Lakes. Forest stand structure explained most of the variation in FD. Elevated temperature increased FD in boreal, but lowered FD in temperate forests. Different species abundance weightings affected trait diversity distributions and drivers only marginally.
As environmental filtering was of secondary importance behind forest structure in explaining the trait diversity distribution of tree species in northeastern North America, our study provides only partial support for the stress-dominance hypothesis. Forest management can increase FD by promoting structural complexity. In addition, mixing species from functionally different groups identified in this study can enhance the response diversity of forests to an uncertain future.
How to cite: Thom, D., Taylor, A., Seidl, R., Thuiller, W., Wang, J., Robideau, M., and Keeton, W.: Drivers, climate sensitivity, and management of functional diversity in northeastern North America, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18535, https://doi.org/10.5194/egusphere-egu2020-18535, 2020.
The functional diversity (FD) represented by plant traits is fundamentally linked to the ecosystem’s capacity to respond to changes in the environment. Thus, there is an ongoing debate about including FD considerations in management plans to safeguard forests and their services to the society under climate change. However, incomplete scientific knowledge and difficulties to understand the concept of FD hinder the implementation of FD-based management approaches. Our study fills these knowledge gaps by (i) mapping the current distribution, (ii) analyzing the drivers, and (iii) testing the sensitivity of FD to projected increases in temperature and precipitation in northeastern North America. Following the stress-dominance hypothesis, we expected the strongest effect on FD from environmental filtering (i.e., climatic conditions) within our study region.
We combined a literature and database review of 44 traits for 43 tree species with terrestrial inventory data of 48,426 plots spanning an environmental gradient from northern boreal to temperate biomes. Employing multiple non-parametric models, we evaluated the impacts of 25 covariates on FD. Subsequently, we conducted a climate sensitivity analysis. The effect of rarity and commonness were tested for all outcomes using Hill numbers with different abundance weightings.
We identified FD hotspots in temperate forests and the boreal-temperate ecotone east and northeast of the Great Lakes. Forest stand structure explained most of the variation in FD. Elevated temperature increased FD in boreal, but lowered FD in temperate forests. Different species abundance weightings affected trait diversity distributions and drivers only marginally.
As environmental filtering was of secondary importance behind forest structure in explaining the trait diversity distribution of tree species in northeastern North America, our study provides only partial support for the stress-dominance hypothesis. Forest management can increase FD by promoting structural complexity. In addition, mixing species from functionally different groups identified in this study can enhance the response diversity of forests to an uncertain future.
How to cite: Thom, D., Taylor, A., Seidl, R., Thuiller, W., Wang, J., Robideau, M., and Keeton, W.: Drivers, climate sensitivity, and management of functional diversity in northeastern North America, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18535, https://doi.org/10.5194/egusphere-egu2020-18535, 2020.
EGU2020-19701 | Displays | BG3.6
Spatial soil respiration measurements under varying environmental conditions in a dry grasslandJános Balogh, Szilvia Fóti, Bernadett Gecse, Marianna Papp, Gabriella Süle, Giulia de Luca, Krisztina Pintér, Levente Kardos, Dávid Mónok, and Zoltán Nagy
Spatial variability of ecosystem processes constitutes significant uncertainty source in greenhouse gas flux measurements and estimations. The major disadvantage of the chamber-based flux measurements is the poor spatial representativeness, but eddy-covariance measurements also have an uncertainty due to the unequal and not constant footprint area. One way to overcome these difficulties is the spatial sampling improving the field-scale data coverage.
The aim of this study was to describe the spatial variability of grassland soil CO2 efflux under varying environmental conditions. For this reason, we conducted spatial measurements on a range of variables including soil respiration, above-ground biomass, greenness index of the vegetation, soil water content and soil temperature during a seven-year study in a dry grassland site in Hungary. Altitude and soil organic carbon (SOC) content of the measuring positions were also used as background factors. Measurements were repeated 19 times at 78 positions during the study, in the main phenological stages of the grassland vegetation: spring growth, summer drought, autumn regrowth. The sampling scheme was based on 80×60 m grid of 10 m resolution. SOC content was highly variable among the positions due to the exposure differences and their environmental constrains. We analyzed the effect of the drivers on soil respiration grouping the measuring positions by the SOC content of the soil.
How to cite: Balogh, J., Fóti, S., Gecse, B., Papp, M., Süle, G., de Luca, G., Pintér, K., Kardos, L., Mónok, D., and Nagy, Z.: Spatial soil respiration measurements under varying environmental conditions in a dry grassland, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19701, https://doi.org/10.5194/egusphere-egu2020-19701, 2020.
Spatial variability of ecosystem processes constitutes significant uncertainty source in greenhouse gas flux measurements and estimations. The major disadvantage of the chamber-based flux measurements is the poor spatial representativeness, but eddy-covariance measurements also have an uncertainty due to the unequal and not constant footprint area. One way to overcome these difficulties is the spatial sampling improving the field-scale data coverage.
The aim of this study was to describe the spatial variability of grassland soil CO2 efflux under varying environmental conditions. For this reason, we conducted spatial measurements on a range of variables including soil respiration, above-ground biomass, greenness index of the vegetation, soil water content and soil temperature during a seven-year study in a dry grassland site in Hungary. Altitude and soil organic carbon (SOC) content of the measuring positions were also used as background factors. Measurements were repeated 19 times at 78 positions during the study, in the main phenological stages of the grassland vegetation: spring growth, summer drought, autumn regrowth. The sampling scheme was based on 80×60 m grid of 10 m resolution. SOC content was highly variable among the positions due to the exposure differences and their environmental constrains. We analyzed the effect of the drivers on soil respiration grouping the measuring positions by the SOC content of the soil.
How to cite: Balogh, J., Fóti, S., Gecse, B., Papp, M., Süle, G., de Luca, G., Pintér, K., Kardos, L., Mónok, D., and Nagy, Z.: Spatial soil respiration measurements under varying environmental conditions in a dry grassland, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19701, https://doi.org/10.5194/egusphere-egu2020-19701, 2020.
EGU2020-19768 | Displays | BG3.6
Does acclimation of plant traits improve dynamic vegetation modelling of a tree species?Louis François, Alain Hambuckers, Alexandra-Jane Henrot, Franck Trolliet, Jean-Luc Pitance, Rachid Cheddadi, and Marie Dury
Dynamic vegetation modelling is intensively used with plant functional types which limits the range of interest of obtained outputs for other fields of knowledge like conservation science. An alternative approach is to simulate plant species. This however requires additional data, i.e. morphological and physiological traits values characterizing the species and determining their functional properties. However, not only many traits vary among the species belonging to the same plant functional type but also the traits vary broadly according to climate factors.
Since most of the traits are functional, their values may be critical for dynamic vegetation model outputs. We measured several traits (specific leaf area, leaf and sapwood C:N) of Cedrus atlantica in its native range, the Rif and Middle Atlas Mountains of Morocco, as well as in some plantations in western Europe. Trait values exhibit significant variations between the sampled sites. It is possible to predict these trait values using multiple regression with climate factors as explanatory variables. Using regression equations, we produced spatial- and time-varying traits over the study area. We implemented these equations in the CARAIB dynamic vegetation model and tested whether they improve the simulation of C. atlantica in the Rif and Middle Atlas Mountains, by comparing the net primary productivities and biomasses computed with and without trait variation, with those retrieved from measurements on the sampled sites. We then performed simulations of the future using climate projections of the regional climate model RCA4 nested in HadGEM2 general circulation model under the RCP8.5 scenario, in order to test the influence of trait acclimation on the predicted future changes in the range and productivity of the species.
How to cite: François, L., Hambuckers, A., Henrot, A.-J., Trolliet, F., Pitance, J.-L., Cheddadi, R., and Dury, M.: Does acclimation of plant traits improve dynamic vegetation modelling of a tree species?, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19768, https://doi.org/10.5194/egusphere-egu2020-19768, 2020.
Dynamic vegetation modelling is intensively used with plant functional types which limits the range of interest of obtained outputs for other fields of knowledge like conservation science. An alternative approach is to simulate plant species. This however requires additional data, i.e. morphological and physiological traits values characterizing the species and determining their functional properties. However, not only many traits vary among the species belonging to the same plant functional type but also the traits vary broadly according to climate factors.
Since most of the traits are functional, their values may be critical for dynamic vegetation model outputs. We measured several traits (specific leaf area, leaf and sapwood C:N) of Cedrus atlantica in its native range, the Rif and Middle Atlas Mountains of Morocco, as well as in some plantations in western Europe. Trait values exhibit significant variations between the sampled sites. It is possible to predict these trait values using multiple regression with climate factors as explanatory variables. Using regression equations, we produced spatial- and time-varying traits over the study area. We implemented these equations in the CARAIB dynamic vegetation model and tested whether they improve the simulation of C. atlantica in the Rif and Middle Atlas Mountains, by comparing the net primary productivities and biomasses computed with and without trait variation, with those retrieved from measurements on the sampled sites. We then performed simulations of the future using climate projections of the regional climate model RCA4 nested in HadGEM2 general circulation model under the RCP8.5 scenario, in order to test the influence of trait acclimation on the predicted future changes in the range and productivity of the species.
How to cite: François, L., Hambuckers, A., Henrot, A.-J., Trolliet, F., Pitance, J.-L., Cheddadi, R., and Dury, M.: Does acclimation of plant traits improve dynamic vegetation modelling of a tree species?, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19768, https://doi.org/10.5194/egusphere-egu2020-19768, 2020.
EGU2020-19834 | Displays | BG3.6
Nitrogen and phosphorus resorption efficiencies change under drought and shrub encroachment in a Mediterranean ecosystemRaquel Lobo-do-Vale, José Rodrigues, Joana Martins, Simon Haberstroh, Ana Alves, Christiane Werner, and Maria Conceição Caldeira
Mediterranean ecosystems, such as the savannah-type cork oak (Quercus suber) woodlands, are hotspots for climate change, as the highest impacts are forecasted for the Mediterranean region, mainly by more frequent and intense severe droughts. These ecosystems are also threatened by shrub encroachment, which might further decrease tree water availability and affect ecosystem functioning and resilience. Nevertheless, the combined effects of drought and shrub encroachment on ecosystems have seldom been investigated. A precipitation manipulation and shrub removal experiment was established in a cork oak woodland located in SE Portugal and invaded by the native shrub gum rockrose (Cistus ladanifer). Here we present and discuss the combined effects of drought and shrub encroachment on litterfall production of cork oak trees, an evergreen species, over two contrasting years, a wet year (2018) and a dry year (2019) and assess the nitrogen and phosphorus resorption efficiencies from senescent to green leaves.
A previous study reported significant increases in cork oak’s nitrogen resorption efficiency in response to drought. Our preliminary results also indicate changes in nitrogen and phosphorus resorption efficiencies. An increase in nutrient resorption efficiency is likely to mitigate the limitation in nutrient uptake by the roots during drought, improving tree fitness in the short-term. However, it will probably exert a negative feedback on the nitrogen and phosphorus cycles in the long-term which might affect the ecosystem functioning under the forecasted droughts.
How to cite: Lobo-do-Vale, R., Rodrigues, J., Martins, J., Haberstroh, S., Alves, A., Werner, C., and Caldeira, M. C.: Nitrogen and phosphorus resorption efficiencies change under drought and shrub encroachment in a Mediterranean ecosystem, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19834, https://doi.org/10.5194/egusphere-egu2020-19834, 2020.
Mediterranean ecosystems, such as the savannah-type cork oak (Quercus suber) woodlands, are hotspots for climate change, as the highest impacts are forecasted for the Mediterranean region, mainly by more frequent and intense severe droughts. These ecosystems are also threatened by shrub encroachment, which might further decrease tree water availability and affect ecosystem functioning and resilience. Nevertheless, the combined effects of drought and shrub encroachment on ecosystems have seldom been investigated. A precipitation manipulation and shrub removal experiment was established in a cork oak woodland located in SE Portugal and invaded by the native shrub gum rockrose (Cistus ladanifer). Here we present and discuss the combined effects of drought and shrub encroachment on litterfall production of cork oak trees, an evergreen species, over two contrasting years, a wet year (2018) and a dry year (2019) and assess the nitrogen and phosphorus resorption efficiencies from senescent to green leaves.
A previous study reported significant increases in cork oak’s nitrogen resorption efficiency in response to drought. Our preliminary results also indicate changes in nitrogen and phosphorus resorption efficiencies. An increase in nutrient resorption efficiency is likely to mitigate the limitation in nutrient uptake by the roots during drought, improving tree fitness in the short-term. However, it will probably exert a negative feedback on the nitrogen and phosphorus cycles in the long-term which might affect the ecosystem functioning under the forecasted droughts.
How to cite: Lobo-do-Vale, R., Rodrigues, J., Martins, J., Haberstroh, S., Alves, A., Werner, C., and Caldeira, M. C.: Nitrogen and phosphorus resorption efficiencies change under drought and shrub encroachment in a Mediterranean ecosystem, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19834, https://doi.org/10.5194/egusphere-egu2020-19834, 2020.
EGU2020-20191 | Displays | BG3.6
The TRY Plant Trait Database - enhanced coverage and open accessJens Kattge, Gerhard Boenisch, Sandra Diaz, Sandra Lavorel, Colin Prentice, Paul Leadley, Christian Wirth, and the TRY Consortium
Plant traits – the morphological, anatomical, physiological, biochemical and phenological characteristics of plants – determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystems properties and derived benefits and detriments to people. Plant trait data thus represent the essential basis for a vast area of research spanning evolutionary biology, community and functional ecology, biodiversity conservation, ecosystem and landscape management and restoration, biogeography to earth system modeling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community. Increasingly the TRY database also supports new frontiers of trait-based research, including identi:cation of data gaps and subsequent mobilization or measurement of new data. To support this development, in this article we take stock of trait data compiled in TRY and analyze emerging patterns of data coverage, representativeness, and gaps. Best species coverage is achieved for categorical traits (stable within species) relevant to determine plant functional types commonly used in global vegetation models. For the trait ‘plant growth form’ complete species coverage is within reach. However, most traits relevant for ecology and vegetation modeling are characterized by intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment: completeness at global scale is impossible and representativeness challenging. Due to the sheer amount of data in the TRY database, machine learning for trait prediction is promising - but does not add new data. We therefore conclude that reducing data gaps and biases by further and more systematic mobilization of trait data and new in-situ trait measurements must continue to be a high priority. This can only be achieved by a community effort in collaboration with other initiatives.
How to cite: Kattge, J., Boenisch, G., Diaz, S., Lavorel, S., Prentice, C., Leadley, P., Wirth, C., and Consortium, T. T.: The TRY Plant Trait Database - enhanced coverage and open access , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20191, https://doi.org/10.5194/egusphere-egu2020-20191, 2020.
Plant traits – the morphological, anatomical, physiological, biochemical and phenological characteristics of plants – determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystems properties and derived benefits and detriments to people. Plant trait data thus represent the essential basis for a vast area of research spanning evolutionary biology, community and functional ecology, biodiversity conservation, ecosystem and landscape management and restoration, biogeography to earth system modeling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community. Increasingly the TRY database also supports new frontiers of trait-based research, including identi:cation of data gaps and subsequent mobilization or measurement of new data. To support this development, in this article we take stock of trait data compiled in TRY and analyze emerging patterns of data coverage, representativeness, and gaps. Best species coverage is achieved for categorical traits (stable within species) relevant to determine plant functional types commonly used in global vegetation models. For the trait ‘plant growth form’ complete species coverage is within reach. However, most traits relevant for ecology and vegetation modeling are characterized by intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment: completeness at global scale is impossible and representativeness challenging. Due to the sheer amount of data in the TRY database, machine learning for trait prediction is promising - but does not add new data. We therefore conclude that reducing data gaps and biases by further and more systematic mobilization of trait data and new in-situ trait measurements must continue to be a high priority. This can only be achieved by a community effort in collaboration with other initiatives.
How to cite: Kattge, J., Boenisch, G., Diaz, S., Lavorel, S., Prentice, C., Leadley, P., Wirth, C., and Consortium, T. T.: The TRY Plant Trait Database - enhanced coverage and open access , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20191, https://doi.org/10.5194/egusphere-egu2020-20191, 2020.
EGU2020-20933 | Displays | BG3.6
Nutrient addition in a Mediterranean grassland decreases species diversity, increases productivity but does not affect stabilityMaria Caldeira and Carla Nogueira
Increased nutrient inputs and climate change are affecting ecosystems worldwide. However, there is a dearth of knowledge on how the interacting effects of multiple nutrient inputs and climatic variability may affect ecosystem functioning including grassland species and functional diversity, productivity or resilience to disturbances. This is particularly important in the Mediterranean Basin, a hotspot of climate change, where the frequency of autumn and spring droughts is projected to increase.
We conducted a 6-year nutrient addition experiment in an annual grassland site, in Portugal, that is part of a globally distributed experiment called the Nutrient Network (http://www.nutnet.org/). We added high rates of nitrogen, phosphorus and potassium to 5 × 5 m plots, following a full factorial combination in a complete randomized three block design. We established three treatments of one, two and three added nutrients and maintained control plots without addition of nutrients. We examined how a decrease in nutrient limitation and inter-annual climatic variability affected grassland productivity and diversity. We determined the community functional structure (e.g., Community Weighted Mean) and functional diversity (e.g., Function Dispersion) of key morphological and physiological leaf traits associated with the leaf economics spectrum, resource acquisition and water use strategies.
Our 6-year study period was characterized by contrasting climatological years, including two dry years (2017 and 2019). We found that grassland productivity was co-limited by multiple nutrients and that species richness decreased with nutrient enrichment. Dry years reduced productivity and species richness and were a critical factor reducing functional diversity of most of the studied traits. Species with competitive characteristics dominated nutrient enriched communities and were related to ecosystem stability by increasing mean biomass production relative to the standard deviation of biomass over time. Contrary to expectations species richness was not related to stability.
This study shows that mechanisms underlying ecological functioning of Mediterranean grasslands depend on interactions of multiple nutrient addition and precipitation variability. Understanding these mechanisms is crucial to anticipate potential effects of global changes on Mediterranean grasslands.
How to cite: Caldeira, M. and Nogueira, C.: Nutrient addition in a Mediterranean grassland decreases species diversity, increases productivity but does not affect stability, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20933, https://doi.org/10.5194/egusphere-egu2020-20933, 2020.
Increased nutrient inputs and climate change are affecting ecosystems worldwide. However, there is a dearth of knowledge on how the interacting effects of multiple nutrient inputs and climatic variability may affect ecosystem functioning including grassland species and functional diversity, productivity or resilience to disturbances. This is particularly important in the Mediterranean Basin, a hotspot of climate change, where the frequency of autumn and spring droughts is projected to increase.
We conducted a 6-year nutrient addition experiment in an annual grassland site, in Portugal, that is part of a globally distributed experiment called the Nutrient Network (http://www.nutnet.org/). We added high rates of nitrogen, phosphorus and potassium to 5 × 5 m plots, following a full factorial combination in a complete randomized three block design. We established three treatments of one, two and three added nutrients and maintained control plots without addition of nutrients. We examined how a decrease in nutrient limitation and inter-annual climatic variability affected grassland productivity and diversity. We determined the community functional structure (e.g., Community Weighted Mean) and functional diversity (e.g., Function Dispersion) of key morphological and physiological leaf traits associated with the leaf economics spectrum, resource acquisition and water use strategies.
Our 6-year study period was characterized by contrasting climatological years, including two dry years (2017 and 2019). We found that grassland productivity was co-limited by multiple nutrients and that species richness decreased with nutrient enrichment. Dry years reduced productivity and species richness and were a critical factor reducing functional diversity of most of the studied traits. Species with competitive characteristics dominated nutrient enriched communities and were related to ecosystem stability by increasing mean biomass production relative to the standard deviation of biomass over time. Contrary to expectations species richness was not related to stability.
This study shows that mechanisms underlying ecological functioning of Mediterranean grasslands depend on interactions of multiple nutrient addition and precipitation variability. Understanding these mechanisms is crucial to anticipate potential effects of global changes on Mediterranean grasslands.
How to cite: Caldeira, M. and Nogueira, C.: Nutrient addition in a Mediterranean grassland decreases species diversity, increases productivity but does not affect stability, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-20933, https://doi.org/10.5194/egusphere-egu2020-20933, 2020.