Articles | Volume 17, issue 3
https://doi.org/10.5194/gmd-17-931-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-931-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
05 Feb 2024
Model description paper |
| 05 Feb 2024
| 05 Feb 2024
SAMM version 1.0: a numerical model for microbial- mediated soil aggregate formation
Sustainable Agroecosystems Group, Department of Environmental Systems Science, Swiss Federal Institute of Technology (ETH Zurich), Universitätstrasse 2, 8092 Zurich, Switzerland
Institute of Agricultural Sciences in the Tropics (Hans-Ruthenberg-Institute), University of Hohenheim, 70599 Stuttgart, Germany
Sergey Blagodatsky
Institute of Agricultural Sciences in the Tropics (Hans-Ruthenberg-Institute), University of Hohenheim, 70599 Stuttgart, Germany
Terrestrial Ecology Group, Institute of Zoology, University of Cologne, Zülpicher Str. 47b, 50674 Cologne, Germany
Marijn Van de Broek
Sustainable Agroecosystems Group, Department of Environmental Systems Science, Swiss Federal Institute of Technology (ETH Zurich), Universitätstrasse 2, 8092 Zurich, Switzerland
Samuel Schlichenmaier
Institute of Agricultural Sciences in the Tropics (Hans-Ruthenberg-Institute), University of Hohenheim, 70599 Stuttgart, Germany
Benjapon Kunlanit
Soil Organic Matter Management Research Group, Khon Kaen University, Khon Kaen, Thailand
Department of Agricultural Technology, Faculty of Technology, Mahasarakham University, Maha Sarakham, Thailand
Johan Six
Sustainable Agroecosystems Group, Department of Environmental Systems Science, Swiss Federal Institute of Technology (ETH Zurich), Universitätstrasse 2, 8092 Zurich, Switzerland
Patma Vityakon
Department of Soil Science and Environment, Faculty of Agriculture, Khon Kaen University, Khon Kaen, Thailand
Soil Organic Matter Management Research Group, Khon Kaen University, Khon Kaen, Thailand
Georg Cadisch
Institute of Agricultural Sciences in the Tropics (Hans-Ruthenberg-Institute), University of Hohenheim, 70599 Stuttgart, Germany
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Cited
11 citations as recorded by crossref.
- Beyond behavioural models: equifinality and overparameterisation undermine confidence in predictions by soil organic matter models M. Van de Broek & J. Six https://doi.org/10.5194/gmd-19-8651-2026
- Using explainable AI to diagnose the representation of environmental drivers in process-based soil organic carbon models L. Wang et al. https://doi.org/10.5194/bg-22-7845-2025
- Modeling integrated soil fertility management for maize production in Kenya using a Bayesian calibration of the DayCent model M. Laub et al. https://doi.org/10.5194/bg-21-3691-2024
- Unveiling the multifaceted role of clay minerals in the One Health framework: A comprehensive review F. ABBAS et al. https://doi.org/10.1016/j.pedsph.2025.11.002
- Formation pathways, ecosystem functions, and the impacts of land use and environmental stressors on soil aggregates P. Ponyane et al. https://doi.org/10.3389/fenvs.2025.1628746
- Southern African mountain carbon: lies, lessons and lighthouses J. van Tol et al. https://doi.org/10.1080/0035919X.2026.2679016
- Microbial construction of soil structure: Modeling soil aggregation dynamics under periodic disturbances S. Takizawa & M. Yamamura https://doi.org/10.1016/j.soilbio.2026.110262
- MilTilV: A vertically resolved microbial-explicit model of soil organic carbon turnover integrating the effects of tillage operations K. YE et al. https://doi.org/10.1016/j.pedsph.2025.06.007
- Labile and stable organic matter components in agricultural soils Z. Artemyeva & B. Kogut https://doi.org/10.19047/0136-1694-2025-124-184-223
- Spatial Variability of Soil Characterization in Arid Regions Irrigated with Treated Wastewater: Comparative Assessment of Long-Term Impacts on Two Commercial Farms K. Alsanat et al. https://doi.org/10.3390/su18125922
- Ideas and perspectives: Beyond microbes – integrating termites into global soil carbon cycling models U. Farooq et al. https://doi.org/10.5194/bg-23-7029-2026
11 citations as recorded by crossref.
- Beyond behavioural models: equifinality and overparameterisation undermine confidence in predictions by soil organic matter models M. Van de Broek & J. Six https://doi.org/10.5194/gmd-19-8651-2026
- Using explainable AI to diagnose the representation of environmental drivers in process-based soil organic carbon models L. Wang et al. https://doi.org/10.5194/bg-22-7845-2025
- Modeling integrated soil fertility management for maize production in Kenya using a Bayesian calibration of the DayCent model M. Laub et al. https://doi.org/10.5194/bg-21-3691-2024
- Unveiling the multifaceted role of clay minerals in the One Health framework: A comprehensive review F. ABBAS et al. https://doi.org/10.1016/j.pedsph.2025.11.002
- Formation pathways, ecosystem functions, and the impacts of land use and environmental stressors on soil aggregates P. Ponyane et al. https://doi.org/10.3389/fenvs.2025.1628746
- Southern African mountain carbon: lies, lessons and lighthouses J. van Tol et al. https://doi.org/10.1080/0035919X.2026.2679016
- Microbial construction of soil structure: Modeling soil aggregation dynamics under periodic disturbances S. Takizawa & M. Yamamura https://doi.org/10.1016/j.soilbio.2026.110262
- MilTilV: A vertically resolved microbial-explicit model of soil organic carbon turnover integrating the effects of tillage operations K. YE et al. https://doi.org/10.1016/j.pedsph.2025.06.007
- Labile and stable organic matter components in agricultural soils Z. Artemyeva & B. Kogut https://doi.org/10.19047/0136-1694-2025-124-184-223
- Spatial Variability of Soil Characterization in Arid Regions Irrigated with Treated Wastewater: Comparative Assessment of Long-Term Impacts on Two Commercial Farms K. Alsanat et al. https://doi.org/10.3390/su18125922
- Ideas and perspectives: Beyond microbes – integrating termites into global soil carbon cycling models U. Farooq et al. https://doi.org/10.5194/bg-23-7029-2026
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Short summary
To manage soil organic matter (SOM) sustainably, we need a better understanding of the role that soil microbes play in aggregate protection. Here, we propose the SAMM model, which connects soil aggregate formation to microbial growth. We tested it against data from a tropical long-term experiment and show that SAMM effectively represents the microbial growth, SOM, and aggregate dynamics and that it can be used to explore the importance of aggregate formation in SOM stabilization.
To manage soil organic matter (SOM) sustainably, we need a better understanding of the role that...
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