Biogeosciences
Biogeosciences
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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

Data sets

The impacts of modelling prescribed vs. dynamic land cover in a high CO2 future scenario – greening of the Arctic and Amazonian dieback S. Kou-Giesbrecht https://doi.org/10.5281/zenodo.11520769

Model code and software

The Canadian Land Surface Scheme including Biogeochemical Cycles (1.0) J. R. Melton et al. https://doi.org/10.5281/zenodo.3522407

Automated Model Benchmarking (AMBER) C. Seiler https://doi.org/10.5281/zenodo.7799562

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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.
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