Articles | Volume 12, issue 14
Biogeosciences, 12, 4373–4383, 2015
https://doi.org/10.5194/bg-12-4373-2015
Biogeosciences, 12, 4373–4383, 2015
https://doi.org/10.5194/bg-12-4373-2015

Research article 28 Jul 2015

Research article | 28 Jul 2015

Convergent modelling of past soil organic carbon stocks but divergent projections

Z. Luo et al.

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Cited articles

Allison, S. D., Wallenstein, M. D., and Bradford, M. A.: Soil-carbon response to warming dependent on microbial physiology, Nat. Geosci., 3, 336–340, 2010.
Basso, B., Gargiulo, O., Paustian, K., Robertson, G. P., Porter, C., Grace, P., and Jones, J. W.: Procedures for initializing soil organic carbon pools in the DSSAT-CENTURY model for agricultural systems, Soil Sci. Soc. Am. J., 75, 69–78, 2011.
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Exbrayat, J.-F., Pitman, A. J., and Abramowitz, G.: Response of microbial decomposition to spin-up explains CMIP5 soil carbon range until 2100, Geosci. Model Dev., 7, 2683–2692, https://doi.org/10.5194/gmd-7-2683-2014, 2014.
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Soil carbon models are primary tools for projecting soil carbon balance under changing environment and management. This study shows that the carbon model produces divergent projections but accurate reproduction of measured soil carbon. This projection uncertainty is mainly due to an insufficient understanding of microbial processes and soil carbon composition. Climate conditions and land management in terms of carbon input also have significant effects.
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