Articles | Volume 21, issue 4
Atmos. Chem. Phys., 21, 3059–3071, 2021
https://doi.org/10.5194/acp-21-3059-2021
Atmos. Chem. Phys., 21, 3059–3071, 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 et al.

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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Katja Gänger on behalf of the Authors (06 Jan 2021)  Author's response
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
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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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