Biotic responses buffer warming-induced soil organic carbon loss in Arctic tundra
| Autor: | Christopher Ryan Penton, James M. Tiedje, Junyi Liang, V. G. Salmon, James R. Cole, César Plaza, Zheng Shi, Shuang Ma, Gerardo Celis, Jiangyang Xia, Yiqi Luo, Xingjie Lu, Konstantinos T. Konstantinidis, Susan M. Natali, E. Pegoraro, Jizhong Zhou, Lifen Jiang, Edward A. G. Schuur, Marguerite Mauritz |
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| Rok vydání: | 2018 |
| Předmět: |
0106 biological sciences
010504 meteorology & atmospheric sciences Climate Change Permafrost acclimation Atmospheric sciences 010603 evolutionary biology 01 natural sciences carbon modeling climate warming Soil Theoretical Models Environmental Chemistry Photosynthesis soil carbon Tundra biotic responses data assimilation Soil Microbiology 0105 earth and related environmental sciences General Environmental Science Abiotic component Global and Planetary Change Ecology Global warming Vegetation Soil carbon Models Theoretical 15. Life on land Plants Biological Sciences Carbon 13. Climate action Environmental science Soil horizon Terrestrial ecosystem sense organs Alaska Environmental Sciences |
| Zdroj: | Global change biology, vol 24, iss 10 Global Change Biology |
| Popis: | Climate warming can result in both abiotic (e.g., permafrost thaw) and biotic (e.g., microbial functional genes) changes in Arctic tundra. Recent research has incorporated dynamic permafrost thaw in Earth system models (ESMs) and indicates that Arctic tundra could be a significant future carbon (C) source due to the enhanced decomposition of thawed deep soil C. However, warming-induced biotic changes may influence biologically related parameters and the consequent projections in ESMs. How model parameters associated with biotic responses will change under warming and to what extent these changes affect projected C budgets have not been carefully examined. In this study, we synthesized six data sets over 5years from a soil warming experiment at the Eight Mile Lake, Alaska, into the Terrestrial ECOsystem (TECO) model with a probabilistic inversion approach. The TECO model used multiple soil layers to track dynamics of thawed soil under different treatments. Our results show that warming increased light use efficiency of vegetation photosynthesis but decreased baseline (i.e., environment-corrected) turnover rates of SOC in both the fast and slow pools in comparison with those under control. Moreover, the parameter changes generally amplified over time, suggesting processes of gradual physiological acclimation and functional gene shifts of both plants and microbes. The TECO model predicted that field warming from 2009 to 2013 resulted in cumulative C losses of 224 or 87g/m2 , respectively, without or with changes in those parameters. Thus, warming-induced parameter changes reduced predicted soil C loss by 61%. Our study suggests that it is critical to incorporate biotic changes in ESMs to improve the model performance in predicting C dynamics in permafrost regions. |
| Databáze: | OpenAIRE |
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