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Combining camera trap surveys and IUCN range maps to improve knowledge of species distributions

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DataONE2024-01-08 更新2025-08-02 收录
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Reliable maps of species distributions are fundamental for biodiversity research and conservation. Range maps created by the International Union for Conservation of Nature (IUCN) Red List are often considered authoritative but may not match species occurrence data. We tested concordance between occurrences from camera trap surveys and predicted occurrence from IUCN maps for 510 medium- to large-bodied mammalian species in 80 camera-trap sampling areas. Across all areas, cameras detected 39% of the species that were expected to occur based on IUCN ranges.  The probability of mismatches between camera traps and IUCN range maps was significantly higher for smaller-bodied mammals and habitat specialists in the Neotropics and Indomalaya, and in areas with shorter canopy forests. Our results indicate that in many areas within their range map distributions species may be rare or absent. We suggest that combining range map data with accumulating data from ground-based biodiversity sensors, such..., , , Minimal reproducible code for modelling in Chen et al. 2022, Combining camera trap surveys and IUCN range maps can improve knowledge of species distributions Code to run binomial regression models Dataframe has 2967 obs. of 16 variables Name Type Unit Explanatation speciesScientificName Character NA scientific name of the species type Character NA three categories of species occurrences: A-camera only, B-Both, C-IUCN only projectID\ Character NA project ID ForStrat.Value Binomial NA Foraging stratum:G (1) species restricted to terrestrial surfaces, Semi-Ar (0) - Semi-arboreal BodyMass.Value Numerical g Mean adult body mass of a species (g) Activity.Nocturnal Binomial NA Nocturnality (1), other (0); IUCN_frq\ Numerical\ NA\ Total IUCN assessments of a species IUCN_year\ Numerical NA Year of latest IUCN assessments of a species IUCN_cat\ Numerical NA The extinction risk of species assessed by IUCN Red List. Categories were coded as integers: Least Concern (LC -1), Near Thre...
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2025-07-25
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