Biogeosciences
Biogeosciences
BG
Articles | Volume 21, issue 14
Articles | Volume 21, issue 14
https://doi.org/10.5194/bg-21-3339-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-21-3339-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 21, issue 14
Research article
 | 
24 Jul 2024
Research article |  | 24 Jul 2024

The impacts of modelling prescribed vs. dynamic land cover in a high-CO2 future scenario – greening of the Arctic and Amazonian dieback

Sian Kou-Giesbrecht, Vivek K. Arora, Christian Seiler, and Libo Wang

Viewed

Total article views: 963 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
733 180 50 963 49 44
  • HTML: 733
  • PDF: 180
  • XML: 50
  • Total: 963
  • BibTeX: 49
  • EndNote: 44
Views and downloads (calculated since 29 Nov 2023)
Cumulative views and downloads (calculated since 29 Nov 2023)

Viewed (geographical distribution)

Total article views: 963 (including HTML, PDF, and XML) Thereof 980 with geography defined and -17 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
Terrestrial biosphere models can either prescribe the geographical distribution of biomes or simulate them dynamically, capturing climate-change-driven biome shifts. We isolate and examine the differences between these different land cover implementations. We find that the simulated terrestrial carbon sink at the end of the 21st century is twice as large in simulations with dynamic land cover than in simulations with prescribed land cover due to important range shifts in the Arctic and Amazon.
Read more
Altmetrics
Final-revised paper
Preprint