Articles | Volume 17, issue 18
https://doi.org/10.5194/bg-17-4591-2020
https://doi.org/10.5194/bg-17-4591-2020
Research article
 | 
21 Sep 2020
Research article |  | 21 Sep 2020

Microbial dormancy and its impacts on northern temperate and boreal terrestrial ecosystem carbon budget

Junrong Zha and Qianla Zhuang

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Cited articles

Allison, E. H., Perry, A. L., Badjeck, M.-C., Neil Adger, W., Brown, K., Conway, D., Halls, A. S., Pilling, G. M., Reynolds, J. D., Andrew, N. L., and Dulvy, N. K.: Vulnerability of national economies to the impacts of climate change on fisheries, Fish Fish., 10, 173–196, https://doi.org/10.1111/j.1467-2979.2008.00310.x, 2009. 
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. 
Balser, T. C., Kinzig, A. P., and Firestone, M. K.: Linking soil microbial communities and ecosystem functioning, The functional consequences of biodiversity: Empirical progress and theoretical extensions, Biogeochemistry, 73, 265–293, 2002. 
Billings, W. D., Peterson, K. M., Shaver, G. R., and Trent, A. W.: Root Growth, Respiration, and Carbon Dioxide Evolution in an Arctic Tundra Soil, Arctic Alpine Res., 9, 129–137, https://doi.org/10.1080/00040851.1977.12003908, 1977. 
Blagodatskaya, E. and Kuzyakov, Y.: Active microorganisms in soil: Critical review of estimation criteria and approaches, Soil Biol. Biochem., 67, 192–211, https://doi.org/10.1016/j.soilbio.2013.08.024, 2013. 
Short summary
This study incorporated microbial dormancy into a detailed microbe-based biogeochemistry model to examine the fate of Arctic carbon budgets under changing climate conditions. Compared with the model without microbial dormancy, the new model estimated a much higher carbon accumulation in the region during the last and current century. This study highlights the importance of the representation of microbial dormancy in earth system models to adequately quantify the carbon dynamics in the Arctic.
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