Preprints
https://doi.org/10.5194/egusphere-2022-359
https://doi.org/10.5194/egusphere-2022-359
 
04 Jul 2022
04 Jul 2022

Upscaling microbial stoichiometric adaptability in SOM turnover: The SESAM Soil Enzyme Steady Allocation Model (v3.0)

Thomas Wutzler1, Lin Yu1,2, Marion Schrumpf1, and Sönke Zaehle1 Thomas Wutzler et al.
  • 1Max Planck Institute for Biogeochemistry, Hans-Knöll-Straße 10, 07745 Jena, Germany
  • 2Centre for Environmental and Climate Science (CEC) at Lund University, Sölvegatan 37, Lund, Sweden

Abstract. Understanding the coupling of nitrogen (N) and carbon (C) cycles of land ecosystems, requires understanding microbial element use efficiencies of soil organic matter (SOM) decomposition. Whereas important controls of those efficiencies by microbial community adaptations have been shown at the scale of a soil pore, a simplified representation of those controls is needed at the ecosystem scale. However, without abstracting from the many details, models are not identifiable, i.e. can not be fitted without ambiguities to observations. There is a need to find, implement, and validate abstract simplified formulations of theses processes.

Therefore, we developed the SESAM model as an ab- straction of the more detailed soil enzyme allocation model (SEAM) model and tested, whether it can provide the same decadal-term predictions. SEAM explicitly models community adaptation strategies of resource allocation to extracellular enzymes and enzyme limitations on SOM decomposition. It thus provides a scaling from representing several microbial functional groups to a single holistic microbial community. Here we further abstracted the model using quasi-steady-state assumption for extracellular enzyme pools to derive the SESAM model.

SESAM reproduced the priming effect, the SOM banking mechanism, and the damping of fluctuations of carbon use efficiency with microbial competition as predicted by SEAM and other more detailed models. This development is an important step towards more parsimonious representation of soil microbial effects in global land surface models.

Journal article(s) based on this preprint

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, Lin Yu, Marion Schrumpf, and Sönke Zaehle
Geosci. Model Dev., 15, 8377–8393, https://doi.org/10.5194/gmd-15-8377-2022,https://doi.org/10.5194/gmd-15-8377-2022, 2022
Short summary

Thomas Wutzler et al.

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

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

Journal article(s) based on this preprint

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, Lin Yu, Marion Schrumpf, and Sönke Zaehle
Geosci. Model Dev., 15, 8377–8393, https://doi.org/10.5194/gmd-15-8377-2022,https://doi.org/10.5194/gmd-15-8377-2022, 2022
Short summary

Thomas Wutzler et al.

Thomas Wutzler et al.

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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.

Short summary
Soil microbes process soil organic matter and affect carbon storage and plant nutrition at 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.