Biogeosciences
Biogeosciences
BG
Articles | Volume 11, issue 23
Articles | Volume 11, issue 23
https://doi.org/10.5194/bg-11-6999-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-11-6999-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 11, issue 23
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

Viewed

Total article views: 3,399 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,949 1,339 111 3,399 147 153
  • HTML: 1,949
  • PDF: 1,339
  • XML: 111
  • Total: 3,399
  • BibTeX: 147
  • EndNote: 153
Views and downloads (calculated since 31 Mar 2014)
Cumulative views and downloads (calculated since 31 Mar 2014)
Latest update: 20 Nov 2025
Download
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint