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Supporting Information Table S1. Sources of the historic range maps used in our analysis. Elevation limits (lower and upper) are in meters. Modifications to the source maps are listed in the footnotes. Scientific Name Common Name Map source Lower Upper Acinonyx jubatus Cheetah Morrison et al. (2007) 4000 Canis lupus Gray wolf Morrison et al. (2007) 1 2400 Canis lupus dingo Dingo Letnic et al. (2012) Canis rufus Red wolf Morrison et al. (2007) 2400 Canis simensis Ethiopian wolf Ray et al. (2005) Crocuta crocuta Spotted hyena Ray et al. (2005) 4100 Cuon alpinus Dhole IUCN canid action plan 2 5300 Helarctos malayanus Sun bear Morrison et al. (2007) 2100 Parahyaena brunnea Brown hyena Ray et al. (2005) 1500 3 Hyaena hyaena Striped hyena Morrison et al. (2007) 3300 Lycaon pictus African wild dog Ray et al. (2005) 4000 Lynx lynx Eurasian lynx IUCN felid action plan 4 5500 Melursus ursinus Sloth bear Morrison et al. (2007) 2000 Neofelis diardi Sunda clouded leopard https://commons.wikimedia.org/wiki/ 1500 File:Clouded_leopard_prevalence.png Neofelis nebulosa Clouded leopard https://commons.wikimedia.org/wiki/file: 3000 Clouded_leopard_historic_prevalence.png Panthera leo Lion Morrison et al. (2007) 4200 Panthera onca Jaguar Panthera 3000 Panthera pardus Leopard Morrison et al. (2007) 5200 Panthera tigris Tiger Panthera 4500 Panthera uncia Snow leopard Morrison et al. (2007) 750 5800 Puma concolor Puma Panthera 5800 Tremarctos ornatus Andean black bear Morrison et al. (2007) 250 4750 Ursus americanus American black bear Morrison et al. (2007) 5 3500 Ursus arctos Brown bear Morrison et al. (2007) 5000 Ursus thibetanus Asiatic black bear Morrison et al. (2007) 4300 1 Added Japan, Sakhalin island (above Japan), and the corner of northeastern Russia 2 Extended a bit northward on the basis of the current IUCN Red List fact sheet and input from Jan Kamler 3 Elevation limit from the Animal Diversity Web: Myers P, Espinosa R, Parr CS, Jones T, Hammond GS, Dewey TA. The Animal Diversity Web (online) [Internet]. 2015 [cited 2014 Feb 27]. Available from: http://animaldiversity.ummz.umich.edu 4 Only for Europe (treated historic range in Asia as matching the current range, reviewed by Bodil Elmhagen) 5 Clipped northern portion of historic range to match with current range

Table S2. Summary data for large carnivore range contractions. Historic, current, and lost range areas are in square kilometers. % Lost is the estimated percentage range contraction. Scientific Name Common Name Historic Current Lost % Lost Canis rufus Red wolf 2,205,755 5,771 2,199,984 99.7% Canis simensis Ethiopian wolf 888,157 6,187 881,969 99.3% Panthera tigris Tiger 16,622,223 780,646 15,841,576 95.3% Panthera leo Lion 26,914,341 1,703,935 25,210,406 93.7% Lycaon pictus African wild dog 18,924,058 1,278,603 17,645,455 93.2% Acinonyx jubatus Cheetah 34,997,842 2,964,276 32,033,567 91.5% Cuon alpinus Dhole 19,321,239 3,396,114 15,925,125 82.4% Panthera pardus Leopard 41,990,824 8,647,609 33,343,215 79.4% Panthera uncia Snow leopard 5,440,630 1,216,226 4,224,404 77.6% Tremarctos ornatus Andean black bear 1,190,733 294,980 895,753 75.2% Neofelis nebulosa Clouded leopard 4,950,609 1,798,205 3,152,404 63.7% Ursus thibetanus Asiatic black bear 8,645,920 3,142,301 5,503,619 63.7% Neofelis diardi Sunda clouded leopard 1,184,443 582,239 602,204 50.8% Helarctos malayanus Sun bear 3,285,879 1,628,906 1,656,973 50.4% Panthera onca Jaguar 17,774,713 8,818,148 8,956,565 50.4% Ursus arctos Brown bear 46,588,688 26,891,864 19,696,824 42.3% Melursus ursinus Sloth bear 2,481,079 1,518,776 962,304 38.8% Ursus americanus American black bear 15,829,679 9,714,012 6,115,666 38.6% Puma concolor Puma 31,259,847 21,240,084 10,019,763 32.1% Parahyaena brunnea Brown hyena 2,876,377 2,093,842 782,535 27.2% Canis lupus Gray wolf 64,169,543 47,702,213 16,467,330 25.7% Crocuta crocuta Spotted hyena 19,146,204 14,541,846 4,604,359 24.0% Hyaena hyaena Striped hyena 27,675,695 23,510,432 4,165,263 15.1% Canis lupus dingo Dingo 7,641,425 6,713,643 927,781 12.1% Lynx lynx Eurasian lynx 23,163,633 20,424,410 2,739,223 11.8%

Figure S1. Predictor variables used in the model for predicting range contractions. For the rural population and cattle density variables, the values were log transformed (after adding 1). All variables were then scaled to have average 0 and standard deviation 1 so that their effects on the likelihood of range contraction can be compared on the same scale.

Figure S2. Percentage range contraction versus carnivore body mass. Overall, percentage range contraction does not appear to be closely linked to either carnivore species mass or taxonomic family.

Figure S3. Current and historic species richness histograms by biome. Vertical lines indicate mean richness. Panels are sorted by difference in mean richness and indicate that the most extensive range contractions occurred in Flooded Grasslands & Savannas and in Topical & Subtropical Dry Broadleaf Forests. Overlap between current and historic range histogram bars is shown in dark purple.

Figure S4. Results for a generalized linear mixed model predicting the increase in the odds of range contraction per one standard deviation increase in each predictor variable while accounting for the other variables (estimates shown with 95% confidence intervals). The p-values for all coefficients were significant (< 0.0001). To account for potential dependence the model includes random intercepts by species along with a spatial autocovariate constructed using the residuals of the corresponding non-spatial model.

Figure S5. Effects of cattle density, cropland, and rural population on the odds of species range contraction by region of the world based on a spatially explicit generalized linear mixed model with random slopes (and intercepts) by geographic region and random intercepts by species. The panels show the estimated increases in the odds of range contraction per one standard deviation increase in each predictor variable (with 95% prediction intervals). All predictor variables were included together in the model. These results show substantial variation by geographic region in terms of the estimated effect sizes.