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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Latest update: 20 Jun 2024
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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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