Articles | Volume 11, issue 23
https://doi.org/10.5194/bg-11-6999-2014
https://doi.org/10.5194/bg-11-6999-2014
Research article
 | 
11 Dec 2014
Research article |  | 11 Dec 2014

Disentangling residence time and temperature sensitivity of microbial decomposition in a global soil carbon model

J.-F. Exbrayat, A. J. Pitman, and G. Abramowitz

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Jean-François Exbrayat on behalf of the Authors (23 Jun 2014)  Author's response   Manuscript 
ED: Publish subject to minor revisions (Editor review) (27 Jun 2014) by Jens-Arne Subke
AR by Jean-François Exbrayat on behalf of the Authors (30 Jun 2014)  Author's response   Manuscript 
ED: Publish subject to minor revisions (Editor review) (01 Jul 2014) by Jens-Arne Subke
ED: Reconsider after major revisions (25 Jul 2014) by Jens-Arne Subke
AR by Jean-François Exbrayat on behalf of the Authors (07 Nov 2014)  Author's response   Manuscript 
ED: Publish subject to technical corrections (10 Nov 2014) by Jens-Arne Subke
AR by Jean-François Exbrayat on behalf of the Authors (11 Nov 2014)  Author's response   Manuscript 
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Short summary
We use a reduced complexity soil organic carbon (SOC) model to address the influence of two parameters on the response of SOC stocks to climate change: baseline turnover time (k) and temperature sensitivity of decomposition (Q10). In our model, k determines SOC stocks and the magnitude of the response to climate change (from 1850 to 2100 under RCP 8.5) while Q10 drives its sign. We dismiss unlikely simulations using global SOC data to reduce the uncertainty in projections and parameter values.
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