LIFE: A metric for mapping the impact of land-cover change on global extinctions

Human-driven habitat loss is recognized as the greatest cause of the biodiversity crisis, yet to date we lack robust, spatially explicit metrics quantifying the impacts of anthropogenic changes in habitat extent on species' extinctions. Existing metrics either fail to consider species identity or focus solely on recent habitat losses. The persistence score approach developed by Durán <i>et al</i>. (Durán <i>et al.</i> 2020 <i>Methods Ecol. Evol</i>. <b>11</b>, 910-921 (doi:10.1111/2041-210X.13427) represented an important development by combining species' ecologies and land-cover data while considering the cumulative and non-linear impact of past habitat loss on species' probability of extinction. However, it is computationally demanding, limiting its global use and application. Here we couple the persistence score approach with high-performance computing to generate global maps of what we term the LIFE (Land-cover change Impacts on Future Extinctions) metric for 30 875 species of terrestrial vertebrates at 1 arc-min resolution (3.4 km<sup>2</sup> at the equator). These maps provide quantitative estimates, for the first time, of the marginal changes in the expected number of extinctions (both increases and decreases) caused by converting remaining natural vegetation to agriculture, and restoring farmland to natural habitat. We demonstrate statistically that this approach integrates information on species richness, endemism and past habitat loss. Our resulting maps can be used at scales from 0.5-1000 km<sup>2</sup> and offer unprecedented opportunities to estimate the impact on extinctions of diverse actions that affect change in land cover, from individual dietary choices through to global protected area development.This article is part of the discussion meeting issue 'Bending the curve towards nature recovery: building on Georgina Mace's legacy for a biodiverse future'.

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Publication Details

Journal
Philosophical Transactions of the Royal Society B Biological Sciences
Published
2025-01-09
DOI
https://doi.org/10.1098/rstb.2023.0327
Citations
39
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
68.02

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article

LIFE: A metric for mapping the impact of land-cover change on global extinctions

Michael Dales, Rhys E. Green, Anil Madhavapeddy, Jonathan Green et al.
39 citations
Philosophical Transactions of the Royal Society B Biological Sciences
Species Distribution and Climate Change
68.02
article

LIFE: A metric for mapping the impact of land-cover change on global extinctions

Michael Dales, Rhys E. Green, Anil Madhavapeddy, Jonathan Green, Thomas Ball, Tom Swinfield, Daniele Baisero, Alison Eyres, Andy Arnell, Andrew Balmford, América Paz Durán
article en
39 citations

Abstract

Human-driven habitat loss is recognized as the greatest cause of the biodiversity crisis, yet to date we lack robust, spatially explicit metrics quantifying the impacts of anthropogenic changes in habitat extent on species' extinctions. Existing metrics either fail to consider species identity or focus solely on recent habitat losses. The persistence score approach developed by Durán <i>et al</i>. (Durán <i>et al.</i> 2020 <i>Methods Ecol. Evol</i>. <b>11</b>, 910-921 (doi:10.1111/2041-210X.13427) represented an important development by combining species' ecologies and land-cover data while considering the cumulative and non-linear impact of past habitat loss on species' probability of extinction. However, it is computationally demanding, limiting its global use and application. Here we couple the persistence score approach with high-performance computing to generate global maps of what we term the LIFE (Land-cover change Impacts on Future Extinctions) metric for 30 875 species of terrestrial vertebrates at 1 arc-min resolution (3.4 km<sup>2</sup> at the equator). These maps provide quantitative estimates, for the first time, of the marginal changes in the expected number of extinctions (both increases and decreases) caused by converting remaining natural vegetation to agriculture, and restoring farmland to natural habitat. We demonstrate statistically that this approach integrates information on species richness, endemism and past habitat loss. Our resulting maps can be used at scales from 0.5-1000 km<sup>2</sup> and offer unprecedented opportunities to estimate the impact on extinctions of diverse actions that affect change in land cover, from individual dietary choices through to global protected area development.This article is part of the discussion meeting issue 'Bending the curve towards nature recovery: building on Georgina Mace's legacy for a biodiverse future'.

Philosophical Transactions of the Royal Society B Biological SciencesVol. 380(1917)
Food and Agriculture Organization of the United Nations (IT), Stockholm Environment Institute (GB), UN Environment Programme World Conservation Monitoring Centre (GB), Austral University of Chile (CL), York University (CA), University of Cambridge (GB), BirdLife International (KE), Conservation Leadership Programme (GB), BirdLife international (GB), University of York (GB)
Global Challenges Research Fund, Biotechnology and Biological Sciences Research Council
Life in Land
Openalex Percentile: Top 0%
Species Distribution and Climate Change
68.02
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