Gene-informed decomposition model predicts lower soil carbon loss due to persistent microbial adaptation to warming

doi:10.1038/s41467-020-18706-z

	Gene-informed decomposition model predicts lower soil carbon loss due to persistent microbial adaptation to warming
	Guo, Xue 1,3; Gao, Qun 1,3; Yuan, Mengting 4; Wang, Gangsheng 3; Zhou, Xishu 3,5; Feng, Jiajie 3; Shi, Zhou 3; Hale, Lauren 3; Wu, Linwei 3; Zhou, Aifen 3
刊名	NATURE COMMUNICATIONS
	2020-09-29
卷号	11 期号:1 页码:12
ISSN号	2041-1723
DOI	10.1038/s41467-020-18706-z
通讯作者	Zhou, Jizhong(jzhou@ou.edu)
英文摘要	Soil microbial respiration is an important source of uncertainty in projecting future climate and carbon (C) cycle feedbacks. However, its feedbacks to climate warming and underlying microbial mechanisms are still poorly understood. Here we show that the temperature sensitivity of soil microbial respiration (Q(10)) in a temperate grassland ecosystem persistently decreases by 12.03.7% across 7 years of warming. Also, the shifts of microbial communities play critical roles in regulating thermal adaptation of soil respiration. Incorporating microbial functional gene abundance data into a microbially-enabled ecosystem model significantly improves the modeling performance of soil microbial respiration by 5-19%, and reduces model parametric uncertainty by 55-71%. In addition, modeling analyses show that the microbial thermal adaptation can lead to considerably less heterotrophic respiration (11.6 +/- 7.5%), and hence less soil C loss. If such microbially mediated dampening effects occur generally across different spatial and temporal scales, the potential positive feedback of soil microbial respiration in response to climate warming may be less than previously predicted.
资助项目	US Department of Energy, Office of Science, Genomic Science Program[DE-SC0004601] ; US Department of Energy, Office of Science, Genomic Science Program[DE-SC0010715] ; Office of the Vice President for Research at the University of Oklahoma ; China Scholarship Council (CSC)
WOS关键词	TEMPERATURE SENSITIVITY ; ORGANIC-MATTER ; CYCLE FEEDBACK ; RESPIRATION ; PRECIPITATION ; AVAILABILITY ; PRODUCTIVITY ; ACCLIMATION ; COMPONENTS ; RESPONSES
WOS研究方向	Science & Technology - Other Topics
语种	英语
出版者	NATURE RESEARCH
WOS记录号	WOS:000577262800008
资助机构	US Department of Energy, Office of Science, Genomic Science Program ; Office of the Vice President for Research at the University of Oklahoma ; China Scholarship Council (CSC)
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/157123]
专题	中国科学院地理科学与资源研究所
通讯作者	Zhou, Jizhong
作者单位	1.Tsinghua Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Beijing, Peoples R China 2.Univ Oklahoma, Inst Environm Genom, Norman, OK 73019 USA 3.Univ Oklahoma, Dept Microbiol & Plant Biol, Norman, OK 73019 USA 4.Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA 5.Cent South Univ, Sch Minerals Proc & Bioeng, Changsha, Hunan, Peoples R China 6.Sun Yat Sen Univ, Environm Microbi Res Ctr, Guangzhou, Peoples R China 7.Sun Yat Sen Univ, Sch Environm Sci & Engn, Guangzhou, Peoples R China 8.No Arizona Univ, Dept Biol Sci, Ctr Ecosyst Sci & Soc, Flagstaff, AZ 86011 USA 9.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 10.Univ Chinese Acad Sci, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Guo, Xue,Gao, Qun,Yuan, Mengting,et al. Gene-informed decomposition model predicts lower soil carbon loss due to persistent microbial adaptation to warming[J]. NATURE COMMUNICATIONS,2020,11(1):12.
APA	Guo, Xue.,Gao, Qun.,Yuan, Mengting.,Wang, Gangsheng.,Zhou, Xishu.,...&Zhou, Jizhong.(2020).Gene-informed decomposition model predicts lower soil carbon loss due to persistent microbial adaptation to warming.NATURE COMMUNICATIONS,11(1),12.
MLA	Guo, Xue,et al."Gene-informed decomposition model predicts lower soil carbon loss due to persistent microbial adaptation to warming".NATURE COMMUNICATIONS 11.1(2020):12.