Articles | Volume 15, issue 22
Geosci. Model Dev., 15, 8377–8393, 2022
Geosci. Model Dev., 15, 8377–8393, 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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Cited articles

Allison, S. D.: Modeling adaptation of carbon use efficiency in microbial communities, Front. Microbiol., 5, 517,, 2014. a, b
Averill, C., Rousk, J., and Hawkes, C.: Microbial-mediated redistribution of ecosystem nitrogen cycling can delay progressive nitrogen limitation, Biogeochemistry, 126, 11–23,, 2015. a
Bezanson, J., Edelman, A., Karpinski, S., and Shah, V. B.: Julia: A fresh approach to numerical computing, SIAM Rev., 59, 65–98, 2017. a
Bradford, M. A., Wieder, W. R., Bonan, G. B., Fierer, N., Raymond, P. A., and Crowther, T. W.: Managing uncertainty in soil carbon feedbacks to climate change, Nat. Clim. Change, 6, 751–758,, 2016. a
Buchkowski, R. W., Shaw, A. N., Sihi, D., Smith, G. R., and Keiser, A. D.: Constraining Carbon and Nutrient Flows in Soil With Ecological Stoichiometry, Frontiers in Ecology and Evolution, 7, 382,, 2019. a
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.