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

Terrestrial biosphere models are a key tool in investigating the role played by land surface in the global climate system. However, few models simulate the geographic distribution of biomes dynamically, opting instead to prescribe them using remote sensing products. While prescribing land cover stil...

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Published in:Biogeosciences
Main Authors: Kou-Giesbrecht, Sian, Arora, Vivek K., Seiler, Christian, Wang, Libo
Format: Text
Language:English
Published: 2024
Subjects:
Online Access:https://doi.org/10.5194/bg-21-3339-2024
https://bg.copernicus.org/articles/21/3339/2024/
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spelling ftcopernicus:oai:publications.copernicus.org:bg116026 2024-09-15T18:02:12+00:00 The impacts of modelling prescribed vs. dynamic land cover in a high-CO2 future scenario – greening of the Arctic and Amazonian dieback Kou-Giesbrecht, Sian Arora, Vivek K. Seiler, Christian Wang, Libo 2024-07-24 application/pdf https://doi.org/10.5194/bg-21-3339-2024 https://bg.copernicus.org/articles/21/3339/2024/ eng eng doi:10.5194/bg-21-3339-2024 https://bg.copernicus.org/articles/21/3339/2024/ eISSN: 1726-4189 Text 2024 ftcopernicus https://doi.org/10.5194/bg-21-3339-2024 2024-07-26T00:08:26Z Terrestrial biosphere models are a key tool in investigating the role played by land surface in the global climate system. However, few models simulate the geographic distribution of biomes dynamically, opting instead to prescribe them using remote sensing products. While prescribing land cover still allows for the simulation of the impacts of climate change on vegetation growth and the impacts of land use change, it prevents the simulation of climate-change-driven biome shifts, with implications for the projection of future terrestrial carbon sink. Here, we isolate the impacts of prescribed vs. dynamic land cover implementations in a terrestrial biosphere model. We first introduce a new framework for evaluating dynamic land cover (i.e., the spatial distribution of plant functional types across the land surface), which can be applied across terrestrial biosphere models alongside standard benchmarking of energy, water, and carbon cycle variables in model intercomparison projects. After validating simulated land cover, we then show that the simulated terrestrial carbon sink differs significantly between simulations with dynamic vs. prescribed land cover for a high-CO 2 future scenario. This is because of important range shifts that are only simulated when dynamic land cover is implemented: tree expansion into the Arctic and Amazonian transition from forest to grassland. In particular, the projected change in net land–atmosphere CO 2 flux at the end of the 21st century is twice as large in simulations with dynamic land cover than in simulations with prescribed land cover. Our results illustrate the importance of climate-change-driven biome shifts for projecting future terrestrial carbon sink. Text Climate change Copernicus Publications: E-Journals Biogeosciences 21 14 3339 3371
institution Open Polar
collection Copernicus Publications: E-Journals
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language English
description Terrestrial biosphere models are a key tool in investigating the role played by land surface in the global climate system. However, few models simulate the geographic distribution of biomes dynamically, opting instead to prescribe them using remote sensing products. While prescribing land cover still allows for the simulation of the impacts of climate change on vegetation growth and the impacts of land use change, it prevents the simulation of climate-change-driven biome shifts, with implications for the projection of future terrestrial carbon sink. Here, we isolate the impacts of prescribed vs. dynamic land cover implementations in a terrestrial biosphere model. We first introduce a new framework for evaluating dynamic land cover (i.e., the spatial distribution of plant functional types across the land surface), which can be applied across terrestrial biosphere models alongside standard benchmarking of energy, water, and carbon cycle variables in model intercomparison projects. After validating simulated land cover, we then show that the simulated terrestrial carbon sink differs significantly between simulations with dynamic vs. prescribed land cover for a high-CO 2 future scenario. This is because of important range shifts that are only simulated when dynamic land cover is implemented: tree expansion into the Arctic and Amazonian transition from forest to grassland. In particular, the projected change in net land–atmosphere CO 2 flux at the end of the 21st century is twice as large in simulations with dynamic land cover than in simulations with prescribed land cover. Our results illustrate the importance of climate-change-driven biome shifts for projecting future terrestrial carbon sink.
format Text
author Kou-Giesbrecht, Sian
Arora, Vivek K.
Seiler, Christian
Wang, Libo
spellingShingle Kou-Giesbrecht, Sian
Arora, Vivek K.
Seiler, Christian
Wang, Libo
The impacts of modelling prescribed vs. dynamic land cover in a high-CO2 future scenario – greening of the Arctic and Amazonian dieback
author_facet Kou-Giesbrecht, Sian
Arora, Vivek K.
Seiler, Christian
Wang, Libo
author_sort Kou-Giesbrecht, Sian
title The impacts of modelling prescribed vs. dynamic land cover in a high-CO2 future scenario – greening of the Arctic and Amazonian dieback
title_short The impacts of modelling prescribed vs. dynamic land cover in a high-CO2 future scenario – greening of the Arctic and Amazonian dieback
title_full The impacts of modelling prescribed vs. dynamic land cover in a high-CO2 future scenario – greening of the Arctic and Amazonian dieback
title_fullStr The impacts of modelling prescribed vs. dynamic land cover in a high-CO2 future scenario – greening of the Arctic and Amazonian dieback
title_full_unstemmed The impacts of modelling prescribed vs. dynamic land cover in a high-CO2 future scenario – greening of the Arctic and Amazonian dieback
title_sort impacts of modelling prescribed vs. dynamic land cover in a high-co2 future scenario – greening of the arctic and amazonian dieback
publishDate 2024
url https://doi.org/10.5194/bg-21-3339-2024
https://bg.copernicus.org/articles/21/3339/2024/
genre Climate change
genre_facet Climate change
op_source eISSN: 1726-4189
op_relation doi:10.5194/bg-21-3339-2024
https://bg.copernicus.org/articles/21/3339/2024/
op_doi https://doi.org/10.5194/bg-21-3339-2024
container_title Biogeosciences
container_volume 21
container_issue 14
container_start_page 3339
op_container_end_page 3371
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