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Combining Camera Trap Surveys and Iucn Range Maps to Improve Knowledge of Species Distributions
论文题目: Combining Camera Trap Surveys and Iucn Range Maps to Improve Knowledge of Species Distributions
作者: Cheng Chen, Alys Granados等
联系作者: chengchen0613@gmail.com
发表年度: 2024
DOI: DOI: 10.1111/cobi.14221
摘要:

Reliable maps of species distributions are fundamental for biodiversity research and conservation. The International Union for Conservation of Nature (IUCN) range maps are widely recognized as authoritative representations of species' geographic limits, yet they might not always align with actual occurrence data. In recent area of habitat (AOH) maps, areas that are not habitat have been removed from IUCN ranges to reduce commission errors, but their concordance with actual species occurrence also remains untested. We tested concordance between occurrences recorded in camera trap surveys and predicted occurrences from the IUCN and AOH maps for 510 medium- to large-bodied mammalian species in 80 camera trap sampling areas. Across all areas, cameras detected only 39% of species expected to occur based on IUCN ranges and AOH maps; 85% of the IUCN only mismatches occurred within 200 km of range edges. Only 4% of species occurrences were detected by cameras outside IUCN ranges. The probability of mismatches between cameras and the IUCN range was significantly higher for smaller-bodied mammals and habitat specialists in the Neotropics and Indomalaya and in areas with shorter canopy forests. Our findings suggest that range and AOH maps rarely underrepresent areas where species occur, but they may more often overrepresent ranges by including areas where a species may be absent, particularly at range edges. We suggest that combining range maps with data from ground-based biodiversity sensors, such as camera traps, provides a richer knowledge base for conservation mapping and planning.

刊物名称: Conservation Biology
论文出处: https://conbio.onlinelibrary.wiley.com/doi/10.1111/cobi.14221
影响因子: 6.3(2022IF)
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