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

Authors :
Xue Guo
Qun Gao
Mengting Yuan
Gangsheng Wang
Xishu Zhou
Jiajie Feng
Zhou Shi
Lauren Hale
Linwei Wu
Aifen Zhou
Renmao Tian
Feifei Liu
Bo Wu
Lijun Chen
Chang Gyo Jung
Shuli Niu
Dejun Li
Xia Xu
Lifen Jiang
Arthur Escalas
Liyou Wu
Zhili He
Joy D. Van Nostrand
Daliang Ning
Xueduan Liu
Yunfeng Yang
Edward. A. G. Schuur
Konstantinos T. Konstantinidis
James R. Cole
C. Ryan Penton
Yiqi Luo
James M. Tiedje
Jizhong Zhou
Source :
Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
Publication Year :
2020
Publisher :
Nature Portfolio, 2020.

Abstract

Mechanisms and consequences of the acclimation of soil respiration to warming are unclear. Here, the authors combine soil respiration, metagenomics, and functional gene results from a 7-year grassland warming experiment to a microbial-enzyme decomposition model, showing functional gene information to lower uncertainty and improve fit.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.12d6f8e7a684357bbdf1f8e28b188bc
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-020-18706-z