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. 2021 Aug 30;5(11):1510–1519. doi: 10.1038/s41559-021-01542-9

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 3 — a–f, Probability that a randomly selected mammal occurring in each 50 km × 50 km cell is impacted by logging (a), agriculture (b), hunting (c), pollution (d), invasive species (e) and climate change (f). Darker colours indicate higher probabilities. A value of 0 indicates that no species is affected, and 1.0 indicates that all species occurring are affected. Grey indicates areas with fewer than ten species for which the impact probability has not been estimated. g, The threat with the highest probability of impact in each cell. The colours correspond to the colour scales in a–f. h, The variability of the estimates calculated by resampling the threat classes of each species on the basis of the proportion of Data Deficient species in a given cell.