Articles | Volume 15, issue 22
Geosci. Model Dev., 15, 8377–8393, 2022
https://doi.org/10.5194/gmd-15-8377-2022
Geosci. Model Dev., 15, 8377–8393, 2022
https://doi.org/10.5194/gmd-15-8377-2022
Model description paper
18 Nov 2022
Model description paper | 18 Nov 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)

Thomas Wutzler et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-359', Anonymous Referee #1, 05 Aug 2022
  • RC2: 'Comment on egusphere-2022-359', Nadezda Vasilyeva, 12 Aug 2022
  • AC1: 'Answering comments and revised version', Thomas Wutzler, 28 Sep 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Thomas Wutzler on behalf of the Authors (28 Sep 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (29 Sep 2022) by Christoph Müller
RR by Anonymous Referee #1 (03 Oct 2022)
RR by Nadezda Vasilyeva (10 Oct 2022)
ED: Publish as is (11 Oct 2022) by Christoph Müller
AR by Thomas Wutzler on behalf of the Authors (12 Oct 2022)  Author's response
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Short summary
Soil microbes process soil organic matter and affect carbon storage and plant nutrition at the ecosystem scale. We hypothesized that decadal dynamics is constrained by the ratios of elements in litter inputs, microbes, and matter and that microbial community optimizes growth. This allowed the SESAM model to descibe decadal-term carbon sequestration in soils and other biogeochemical processes explicitly accounting for microbial processes but without its problematic fine-scale parameterization.