Literature DB >> 27178530

Large-scale impact of climate change vs. land-use change on future biome shifts in Latin America.

Alice Boit1,2, Boris Sakschewski3,4, Lena Boysen3, Ana Cano-Crespo3,5, Jan Clement6, Nashieli Garcia-Alaniz7, Kasper Kok8, Melanie Kolb7, Fanny Langerwisch3,4, Anja Rammig3,9, René Sachse10, Michiel van Eupen6, Werner von Bloh3,4, Delphine Clara Zemp3,5, Kirsten Thonicke3,4.   

Abstract

Climate change and land-use change are two major drivers of biome shifts causing habitat and biodiversity loss. What is missing is a continental-scale future projection of the estimated relative impacts of both drivers on biome shifts over the course of this century. Here, we provide such a projection for the biodiverse region of Latin America under four socio-economic development scenarios. We find that across all scenarios 5-6% of the total area will undergo biome shifts that can be attributed to climate change until 2099. The relative impact of climate change on biome shifts may overtake land-use change even under an optimistic climate scenario, if land-use expansion is halted by the mid-century. We suggest that constraining land-use change and preserving the remaining natural vegetation early during this century creates opportunities to mitigate climate-change impacts during the second half of this century. Our results may guide the evaluation of socio-economic scenarios in terms of their potential for biome conservation under global change.
© 2016 John Wiley & Sons Ltd.

Keywords:  Latin America; attribution; biome shifts; climate change; land-use change

Mesh:

Year:  2016        PMID: 27178530     DOI: 10.1111/gcb.13355

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  2 in total

1.  Limiting the high impacts of Amazon forest dieback with no-regrets science and policy action.

Authors:  David M Lapola; Patricia Pinho; Carlos A Quesada; Bernardo B N Strassburg; Anja Rammig; Bart Kruijt; Foster Brown; Jean P H B Ometto; Adriano Premebida; José A Marengo; Walter Vergara; Carlos A Nobre
Journal:  Proc Natl Acad Sci U S A       Date:  2018-11-05       Impact factor: 11.205

2.  Identifying climate thresholds for dominant natural vegetation types at the global scale using machine learning: Average climate versus extremes.

Authors:  Rita Beigaitė; Hui Tang; Anders Bryn; Olav Skarpaas; Frode Stordal; Jarle W Bjerke; Indrė Žliobaitė
Journal:  Glob Chang Biol       Date:  2022-02-24       Impact factor: 13.211

  2 in total

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