title: Evidence and mapping of extinction debts for global forest-dwelling reptiles, amphibians and mammals.
abstract: Evidence of extinction debts for the global distributions of forest-dwelling reptiles, mammals and amphibians was tested and the debt magnitude was estimated and mapped. By using different correlation tests and variable importance analysis, the results showed that spatial richness patterns for the three forest-dwelling terrestrial vertebrate groups had significant and stronger correlations with past forest cover area and other variables in the 1500 s, implying the evidence for extinction debts. Moreover, it was likely that the extinction debts have been partially paid, given that their global richness patterns were also significantly correlated with contemporary forest variables in the 2000 s (but the absolute magnitudes of the correlation coefficients were usually smaller than those calculated for historical forest variables). By utilizing species-area relationships, spatial extinction-debt magnitudes for the three vertebrate groups at the global scale were estimated and the hotspots of extinction debts were identified. These high-debt hotspots were generally situated in areas that did not spatially overlap with hotspots of species richness or high extinction-risk areas based on IUCN threatened status to a large extent. This spatial mismatch pattern suggested that necessary conservation efforts should be directed toward high-debt areas that are still overlooked.
authors.affiliation: Department of Renewable Resources, University of Alberta, Edmonton, T6G 2H1, Canada.
authors.forename: Youhua
authors.initials: Y
authors.lastname: Chen
authors.affiliation: Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.
authors.forename: Shushi
authors.initials: S
authors.lastname: Peng
mesh_terms: D000663:Amphibians / Q000502:physiology*; D063147:Animal Distribution / Q000502:physiology*; D000818:Animals; D044822:Biodiversity; D003247:Conservation of Natural Resources / Q000706:statistics & numerical data*; D053476:Extinction, Biological; D065928:Forests; D049668:History, 15th Century; D049673:History, 20th Century; D008322:Mammals / Q000502:physiology*; D015233:Models, Statistical; D012104:Reptiles / Q000502:physiology*