Articles | Volume 13, issue 10
https://doi.org/10.5194/bg-13-3003-2016
https://doi.org/10.5194/bg-13-3003-2016
Research article
 | 
23 May 2016
Research article |  | 23 May 2016

Parametrization consequences of constraining soil organic matter models by total carbon and radiocarbon using long-term field data

Lorenzo Menichetti, Thomas Kätterer, and Jens Leifeld

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (Editor review) (14 Apr 2016) by Akihiko Ito
AR by Lorenzo Menichetti on behalf of the Authors (28 Apr 2016)  Author's response    Manuscript
ED: Publish as is (06 May 2016) by Akihiko Ito
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Short summary
Soil organic carbon dynamics are crucial for the global greenhouse gas balance, but their complexity is difficult to model and understand. We therefore often rely on radiocarbon measurements for calibrating models, but their effect on our understanding of the processes is still unclear. We calibrated five model structures on data from a long-term Swiss field experiment in a Bayesian framework to assess the effect of radiocarbon on the parameter and structural uncertainty of a soil carbon model.
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