Gene-informed decomposition model predicts lower soil carbon loss due to persistent microbial adaptation to warming
oleh: 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
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2020-09-01 |
Deskripsi
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.