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Journal Article

Simulating long-term responses of soil organic matter turnover to substrate stoichiometry by abstracting fast and small-scale microbial processes: the Soil Enzyme Steady Allocation Model (SESAM; v3.0)

MPS-Authors
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Wutzler,  Thomas
Soil Processes, Dr. Marion Schrumpf, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Yu,  Lin
Soil Processes, Dr. Marion Schrumpf, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;
Terrestrial Biosphere Modelling & Data assimilation, Dr. S. Zähle, Department Biogeochemical Signals, Prof. Dr. Sönke Zaehle, Max Planck Institute for Biogeochemistry, Max Planck Society;

/persons/resource/persons62545

Schrumpf,  Marion
Soil and Ecosystem Processes, Dr. M. Schrumpf, Department Biogeochemical Processes, Prof. S. E. Trumbore, Max Planck Institute for Biogeochemistry, Max Planck Society;
Soil Processes, Dr. Marion Schrumpf, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

/persons/resource/persons62612

Zaehle,  Sönke
Terrestrial Biosphere Modelling & Data assimilation, Dr. S. Zähle, Department Biogeochemical Signals, Prof. Dr. Sönke Zaehle, Max Planck Institute for Biogeochemistry, Max Planck Society;

External Resource

https://doi.org/10.5194/gmd-15-8377-2022
(Publisher version)

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BGC4150.pdf
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Citation

Wutzler, T., Yu, L., Schrumpf, M., & Zaehle, S. (2022). Simulating long-term responses of soil organic matter turnover to substrate stoichiometry by abstracting fast and small-scale microbial processes: the Soil Enzyme Steady Allocation Model (SESAM; v3.0). Geoscientific Model Development, 15(22), 8377-8393. doi:10.5194/gmd-15-8377-2022.


Cite as: https://hdl.handle.net/21.11116/0000-000B-EF78-2
Abstract
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