Data for: Loss of the world's smallest forests
Data files
Jan 09, 2023 version files 1.38 GB
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agg1992_30.tif
173.67 KB
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agg2020_30.tif
174.06 KB
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biome_rast30.tif
200.88 KB
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data_forest1992.csv
56.81 MB
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data_forest2020.csv
56.33 MB
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lc1992_waterna.tif
367.57 MB
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lc2020_humandominated.tif
327.85 MB
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lc2020_waterna.tif
369.15 MB
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README.md
4.28 KB
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results_final.csv
98.13 MB
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results1992.csv
51.44 MB
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results2020.csv
51.13 MB
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Riva_et_al_GCB.R
25.11 KB
Abstract
A large number of small forests typically harbor higher biodiversity than a small number of large forests totaling the same area, suggesting that small patches are disproportionately valuable for biodiversity conservation. However, policies often favor protection of large forest patches. Here we demonstrate a global trend of higher deforestation in small than large forest patches: the likelihood that a randomly-selected forest plot disappeared between 1992 and 2020 increased with decreasing size of the forest patch containing that plot. Our results imply a disproportionate impact of forest loss on biodiversity relative to the total forest area removed. Achieving recent commitments of the post-2020 Global Biodiversity Framework will require revision of current policies and increased societal awareness of the importance of small habitat patches for biodiversity protection.
Data is openly available online (links provided in the supplementary material of the original publication) and was processed following the steps outlined in the attached R script.
Data is provided in .csv and .tif formats and is manageable using software R.