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Journal Article

Optimal enzyme allocation leads to the constrained enzyme hypothesis: the Soil Enzyme Steady Allocation Model (SESAM; v3.1))

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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Reimers,  Christian
Atmosphere-Biosphere Coupling, Climate and Causality, Dr. Alexander J. Winkler, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

/persons/resource/persons81233

Ahrens,  Bernhard
Modeling Interactions in Soil Systems (MISS), Dr. Bernhard Ahrens, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

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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;

External Resource

https://doi.org/10.5194/gmd-17-2705-2024
(Publisher version)

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BGC4460.pdf
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Citation

Wutzler, T., Reimers, C., Ahrens, B., & Schrumpf, M. (2024). Optimal enzyme allocation leads to the constrained enzyme hypothesis: the Soil Enzyme Steady Allocation Model (SESAM; v3.1)). Geoscientific Model Development, 17(7), 2705-2725. doi:10.5194/gmd-17-2705-2024.


Cite as: https://hdl.handle.net/21.11116/0000-000E-20DD-5
Abstract
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