Articles | Volume 18, issue 20
Biogeosciences, 18, 5669–5679, 2021
https://doi.org/10.5194/bg-18-5669-2021
Biogeosciences, 18, 5669–5679, 2021
https://doi.org/10.5194/bg-18-5669-2021

Research article 21 Oct 2021

Research article | 21 Oct 2021

Theoretical insights from upscaling Michaelis–Menten microbial dynamics in biogeochemical models: a dimensionless approach

Chris H. Wilson and Stefan Gerber

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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 bg-2021-108', Anonymous Referee #1, 14 Jun 2021
    • AC1: 'Reply on RC1', Chris Wilson, 19 Jul 2021
  • RC2: 'Comment on bg-2021-108', William Wieder, 28 Jun 2021
    • AC2: 'Reply on RC2', Chris Wilson, 19 Jul 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (02 Aug 2021) by Jens-Arne Subke
AR by Chris Wilson on behalf of the Authors (16 Aug 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (25 Aug 2021) by Jens-Arne Subke
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Short summary
To better mitigate against climate change, it is imperative that ecosystem scientists understand how microbes decompose organic carbon in the soil and thereby release it as carbon dioxide into the atmosphere. A major challenge is the high variability across ecosystems in microbial biomass and in the environmental factors like temperature that drive their activity. In this paper, we use math to better understand how this variability impacts carbon dioxide release over large scales.
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