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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Cited articles

Ahlström, A., Smith, B., Lindström, J., Rummukainen, M., and Uvo, C. B.: GCM characteristics explain the majority of uncertainty in projected 21st century terrestrial ecosystem carbon balance, Biogeosciences, 10, 1517–1528, https://doi.org/10.5194/bg-10-1517-2013, 2013.
Allison, S. D., Wallenstein, M. D., and Bradford, M. A.: Soil-carbon response to warming dependent on microbial physiology, Nat. Geosci., 3, 336–340, https://doi.org/10.1038/ngeo846, 2010.
Anav, A., Friedlingstein, P., Kidston, M., Bopp, L., Ciais, P., Cox, P., Jones, C., Jung, M., Myneni, R., and Zhu, Z.: Evaluating the land and ocean components of the global carbon cycle in the CMIP5 Earth systems models, J. Clim., 26, 6801–6843, https://doi.org/10.1175/JCLI-D-12-00417.1, 2013.
Bauer, J., Weihermüller, L., Huisman, J., Herbst, M., Graf, A., Séquaris, J., and Vereecken, H.: Inverse determination of heterotrophic soil respiration response to temperature and water content under field conditions, Biogeochemistry, 108, 119–134, https://doi.org/10.1007/s10533-011-9583-1, 2012.
Davidson, E. A. and Janssens, I. A.: Temperature sensitivity of soil carbon decomposition and feedbacks to climate change, Nature, 440, 165–173, https://doi.org/10.1038/nature04514, 2006.
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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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