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

Viewed

Total article views: 2,663 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,992 629 42 2,663 226 38 41
  • HTML: 1,992
  • PDF: 629
  • XML: 42
  • Total: 2,663
  • Supplement: 226
  • BibTeX: 38
  • EndNote: 41
Views and downloads (calculated since 30 Oct 2020)
Cumulative views and downloads (calculated since 30 Oct 2020)

Viewed (geographical distribution)

Total article views: 2,663 (including HTML, PDF, and XML) Thereof 2,800 with geography defined and -137 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Apr 2024
Download
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.
Altmetrics
Final-revised paper
Preprint