Articles | Volume 15, issue 22
https://doi.org/10.5194/gmd-15-8377-2022
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, Lin Yu, Marion Schrumpf, and Sönke Zaehle

Viewed

Total article views: 1,423 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,055 316 52 1,423 36 40
  • HTML: 1,055
  • PDF: 316
  • XML: 52
  • Total: 1,423
  • BibTeX: 36
  • EndNote: 40
Views and downloads (calculated since 04 Jul 2022)
Cumulative views and downloads (calculated since 04 Jul 2022)

Viewed (geographical distribution)

Total article views: 1,423 (including HTML, PDF, and XML) Thereof 1,351 with geography defined and 72 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 Jul 2024
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.