
We present Global LIFE (Land-cover change Impacts on Future Extinctions; Eyres et al, 2025) score layers for 30,875 terrestrial vertebrates at 1 arc-minute resolution (3.4 km2 ; 1.855 km linear at the equator). These maps provide, for the first time, estimates of the expected changes in number of extinctions (both increases and decreases) caused by (1) converting remaining natural vegetation to agriculture, and (2) restoring farmland to natural habitat. Our resulting maps can be used at scales from 0.5-1000 km2, and offer unprecedented opportunities to estimate the impact on extinctions of diverse actions that affect land cover, from individual dietary choices through to global protected area development. The LIFE conversion to arable layer shows the change in number of extinctions that would occur if current natural habitat was converted to arable land and largely results in increased extinctions (i.e. largely positive values). The LIFE reversion layer shows the change in extinctions that result from restoring agricultural lands (arable and pasture) back to potential natural habitats. This predominantly results in a decrease in extinction (i.e. largely negative values). All values in the layers are presented as extinction/km2 of land that has changed in a pixel. The main analyses of Eyres et al 2025 assumed all species exhibit an exponential persistence-habitat loss curve with an exponent of 0.25. However, we also explored how our two LIFE score values differed using exponential curves with exponents set to 0.1, 0.5 and 1.0 (the latter indicating a linear response to habitat loss), and assuming persistence changes according to a modified Gompertz curve. We present overall layers for 30,875 species of terrestrial vertebrates together as well as broken down into the main taxonomic groups (amphibians, birds, mammals and reptiles). In addition to the LIFE layers we include two additional rasters that provide information about the area of land that has changed within a pixel (in km²; not necessarily equivalent to the pixel’s area). Using LIFE layers alongside the area change rasters allows calculation of the maximum change in extinction is possible within each pixel. Citation Please cite the published paper and state the used version. Paper will be published 9th January 2025. Issue doi: https://doi.org/10.1098/rstb/380/1917. Eyres, Alison, Thomas S. Ball, Michael Dales, Tom Swinfield, Andy Arnell, Daniele Baisero, América Paz Durán et al. (2025) LIFE: A metric for mapping the impact of land-cover change on global extinctions. Philosophical Transactions of the Royal Society B. Code Code available for reproducing the analysis pipeline here: https://github.com/quantifyearth/LIFE
File Scenario Curve Layers scaled_arable_0.25.tif Conversion to arable 0.25 All taxa, AMPHIBIA, AVES, MAMMALIA, REPTILA scaled_restore_0.25.tif Reversion to natural 0.25 All taxa, AMPHIBIA, AVES, MAMMALIA, REPTILA scaled_arable_0.1.tif Conversion to arable 0.1 All taxa, AMPHIBIA, AVES, MAMMALIA, REPTILA scaled_restore_0.1.tif Reversion to natural 0.1 All taxa, AMPHIBIA, AVES, MAMMALIA, REPTILA scaled_arable_0.5.tif Conversion to arable 0.5 All taxa, AMPHIBIA, AVES, MAMMALIA, REPTILA scaled_restore_0.5.tif Reversion to natural 0.5 All taxa, AMPHIBIA, AVES, MAMMALIA, REPTILA scaled_arable_1.0.tif Conversion to arable 1.0 All taxa, AMPHIBIA, AVES, MAMMALIA, REPTILIA scaled_restore_1.0.tif Reversion to natural 1.0 All taxa, AMPHIBIA, AVES, MAMMALIA, REPTILA scaled_arable_gomperz.tif Conversion to arable gompertz All taxa, AMPHIBIA, AVES, MAMMALIA, REPTILA scaled_restore_gomperz.tif Reversion to natural gompertz All taxa, AMPHIBIA, AVES, MAMMALIA, REPTILA convert_to_arable_diff_area.tif Conversion to arable NA Area change revert_to_natural_diff_area.tif Reversion to natural NA Area change LIFE terms of reference.pdf Terms of use
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
