Articles | Volume 21, issue 4
https://doi.org/10.5194/acp-21-3059-2021
https://doi.org/10.5194/acp-21-3059-2021
Research article
 | 
01 Mar 2021
Research article |  | 01 Mar 2021

Simulating the spatiotemporal variations in aboveground biomass in Inner Mongolian grasslands under environmental changes

Guocheng Wang, Zhongkui Luo, Yao Huang, Wenjuan Sun, Yurong Wei, Liujun Xiao, Xi Deng, Jinhuan Zhu, Tingting Li, and Wen Zhang

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by G. C. Wang on behalf of the Authors (03 Jan 2021)  Manuscript 
ED: Referee Nomination & Report Request started (08 Jan 2021) by Jianping Huang
RR by Anonymous Referee #1 (11 Jan 2021)
RR by Anonymous Referee #2 (13 Jan 2021)
ED: Publish subject to minor revisions (review by editor) (14 Jan 2021) by Jianping Huang
AR by G. C. Wang on behalf of the Authors (17 Jan 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (19 Jan 2021) by Jianping Huang
AR by G. C. Wang on behalf of the Authors (19 Jan 2021)
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Short summary
We simulate the spatiotemporal dynamics of aboveground biomass (AGB) in Inner Mongolian grasslands using a machine-learning-based approach. Under climate change, on average, compared with the historical AGB (average of 1981–2019), the AGB at the end of this century (average of 2080–2100) would decrease by 14 % under RCP4.5 and 28 % under RCP8.5. The decrease in AGB might be mitigated or even reversed by positive carbon dioxide enrichment effects on plant growth.
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