Authors
Junyi Liang, Jiangyang Xia, Zheng Shi, Lifen Jiang, Shuang Ma, Xingjie Lu, Marguerite Mauritz, Susan M Natali, Elaine Pegoraro, Christopher Ryan Penton, César Plaza, Verity G Salmon, Gerardo Celis, James R Cole, Konstantinos T Konstantinidis, James M Tiedje, Jizhong Zhou, Edward AG Schuur, Yiqi Luo
Publication date
2018/10
Journal
Global change biology
Volume
24
Issue
10
Pages
4946-4959
Description
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 5 years 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 …
Total citations
20182019202020212022202320242445621
Scholar articles
J Liang, J Xia, Z Shi, L Jiang, S Ma, X Lu, M Mauritz… - Global change biology, 2018