Biogeosciences
Biogeosciences
BG
Articles | Volume 18, issue 20
Articles | Volume 18, issue 20
https://doi.org/10.5194/bg-18-5669-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-18-5669-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 20
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

Viewed

Total article views: 3,218 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,279 854 85 3,218 95 131
  • HTML: 2,279
  • PDF: 854
  • XML: 85
  • Total: 3,218
  • BibTeX: 95
  • EndNote: 131
Views and downloads (calculated since 19 May 2021)
Cumulative views and downloads (calculated since 19 May 2021)

Viewed (geographical distribution)

Total article views: 3,218 (including HTML, PDF, and XML) Thereof 3,150 with geography defined and 68 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 24 Nov 2025
Download
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint