Literature DB >> 29802797

Biotic responses buffer warming-induced soil organic carbon loss in Arctic tundra.

Junyi Liang1,2, Jiangyang Xia3,4, Zheng Shi1, Lifen Jiang1,5, Shuang Ma1,5, Xingjie Lu1,5, Marguerite Mauritz5, Susan M Natali6, Elaine Pegoraro5, Christopher Ryan Penton7,8, César Plaza5,9,10, Verity G Salmon2, Gerardo Celis5, James R Cole11, Konstantinos T Konstantinidis12, James M Tiedje11, Jizhong Zhou1,13,14,15, Edward A G Schuur5, Yiqi Luo1,5,16.   

Abstract

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 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 87 g/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.
© 2018 John Wiley & Sons Ltd.

Entities:  

Keywords:  acclimation; biotic responses; carbon modeling; climate warming; data assimilation; permafrost; soil carbon

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Year:  2018        PMID: 29802797     DOI: 10.1111/gcb.14325

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  2 in total

1.  More replenishment than priming loss of soil organic carbon with additional carbon input.

Authors:  Junyi Liang; Zhenghu Zhou; Changfu Huo; Zheng Shi; James R Cole; Lei Huang; Konstantinos T Konstantinidis; Xiaoming Li; Bo Liu; Zhongkui Luo; C Ryan Penton; Edward A G Schuur; James M Tiedje; Ying-Ping Wang; Liyou Wu; Jianyang Xia; Jizhong Zhou; Yiqi Luo
Journal:  Nat Commun       Date:  2018-08-09       Impact factor: 14.919

2.  Negative feedback processes following drainage slow down permafrost degradation.

Authors:  Mathias Göckede; Min Jung Kwon; Fanny Kittler; Martin Heimann; Nikita Zimov; Sergey Zimov
Journal:  Glob Chang Biol       Date:  2019-07-24       Impact factor: 10.863

  2 in total

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