Biogeosciences
Biogeosciences
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Articles | Volume 22, issue 5
Articles | Volume 22, issue 5
https://doi.org/10.5194/bg-22-1427-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-22-1427-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 5
Research article
 | 
17 Mar 2025
Research article |  | 17 Mar 2025

A microbially driven and depth-explicit soil organic carbon model constrained by carbon isotopes to reduce parameter equifinality

Marijn Van de Broek, Gerard Govers, Marion Schrumpf, and Johan Six

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Short summary
Soil organic carbon models are used to predict how soils affect the concentration of CO2 in the atmosphere. We show that equifinality – the phenomenon that different parameter values lead to correct overall model outputs, albeit with a different model behaviour – is an important source of model uncertainty. Our results imply that adding more complexity to soil organic carbon models is unlikely to lead to better predictions as long as more data to constrain model parameters are not available.
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