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  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)

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.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000B-EF78-2 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-3600-5
Genre: Journal Article

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https://doi.org/10.5194/gmd-15-8377-2022 (Publisher version)
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 Creators:
Wutzler, Thomas1, Author           
Yu, Lin1, 2, Author           
Schrumpf, Marion1, 3, Author           
Zaehle, Sönke2, Author           
Affiliations:
1Soil Processes, Dr. Marion Schrumpf, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938308              
2Terrestrial Biosphere Modelling & Data assimilation, Dr. S. Zähle, Department Biogeochemical Signals, Prof. Dr. Sönke Zaehle, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_3281104              
3Soil and Ecosystem Processes, Dr. M. Schrumpf, Department Biogeochemical Processes, Prof. S. E. Trumbore, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497776              

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 Dates: 2022-10-112022-112022-11-18
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: BGC4150
DOI: 10.5194/gmd-15-8377-2022
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Title: Geoscientific Model Development
  Other : Geosci. Model Dev.
  Abbreviation : GMD
Source Genre: Journal
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Publ. Info: Göttingen : Copernicus Publ.
Pages: - Volume / Issue: 15 (22) Sequence Number: - Start / End Page: 8377 - 8393 Identifier: ISSN: 1991-959X
CoNE: https://pure.mpg.de/cone/journals/resource/1991-959X