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Global forestation and deforestation affect remote climate via adjusted atmosphere and ocean circulation

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103 Citations (Scopus)
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Abstract

Forests can store large amounts of carbon and provide essential ecosystem services. Massive tree planting is thus sometimes portrayed as a panacea to mitigate climate change and related impacts. Recent controversies about the potential benefits and drawbacks of forestation have centered on the carbon storage potential of forests and the local or global thermodynamic impacts. Here we discuss how global-scale forestation and deforestation change the Earth’s energy balance, thereby affect the global atmospheric circulation and even have profound effects on the ocean circulation. We perform multicentury coupled climate model simulations in which preindustrial vegetation cover is either completely forested or deforested and carbon dioxide mixing ratio is kept constant. We show that global-scale forestation leads to a weakening and poleward shift of the Northern mid-latitude circulation, slows-down the Atlantic meridional overturning circulation, and affects the strength of the Hadley cell, whereas deforestation leads to reversed changes. Consequently, both land surface changes substantially affect regional precipitation, temperature, clouds, and surface wind patterns across the globe. The design process of large-scale forestation projects thus needs to take into account global circulation adjustments and their influence on remote climate.
Original languageEnglish
Article number5569
Pages (from-to)5569
Number of pages11
JournalNature Communications
Volume13
Issue number1
DOIs
Publication statusPublished - 4 Oct 2022

Bibliographical note

Funding Information:
The authors thank Heini Wernli and Reto Knutti (ETH Zurich) for helpful guidance on the project design and comments during the writing process. The computations were performed on the Euler cluster at ETH Zurich, supported by the H2020 European Research Council (project INTEXseas; grant no. 787652). S.S. is supported by funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement no. 848698). S.D.H. is supported by the LAMACLIMA project, part of AXIS, an ERA-NET initiated by JPI Climate, and funded by BELSPO (BE, Grant No. B2/181/P1) with co-funding by the European Union (Grant No. 776608).

Funding Information:
The authors thank Heini Wernli and Reto Knutti (ETH Zurich) for helpful guidance on the project design and comments during the writing process. The computations were performed on the Euler cluster at ETH Zurich, supported by the H2020 European Research Council (project INTEXseas; grant no. 787652). S.S. is supported by funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement no. 848698). S.D.H. is supported by the LAMACLIMA project, part of AXIS, an ERA-NET initiated by JPI Climate, and funded by BELSPO (BE, Grant No. B2/181/P1) with co-funding by the European Union (Grant No. 776608).

Publisher Copyright:
© 2022, The Author(s).

Copyright:
Copyright 2022 Elsevier B.V., All rights reserved.

Keywords

  • climate
  • afforestation
  • cesm

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