4.7 Article

Assessing global patterns in mammalian carnivore occupancy and richness by integrating local camera trap surveys

期刊

GLOBAL ECOLOGY AND BIOGEOGRAPHY
卷 26, 期 8, 页码 918-929

出版社

WILEY
DOI: 10.1111/geb.12600

关键词

big data analysis; camera trap; carnivore; global; hierarchical Bayesian models; multispecies modelling; species occurrence; species richness

资金

  1. Ministry of the Environment, Wildlife and Tourism
  2. Department of Wildlife and National Parks
  3. Botswana Predator Conservation Trust in Botswana
  4. Ministry of Environment, Water, Forest and Tourism
  5. Wildlife Conservation Society in Madagascar
  6. Department of National Parks
  7. United States Agency for International Development/Wula Nafaa Project in Senegal
  8. Cederberg Conservancy and CapeNature in South Africa
  9. National Science Foundation [1556248]
  10. Pacific Southwest Region of the U.S. Forest Service
  11. Sierra and Sequoia National Forests
  12. Ministry of Ecology and Natural Resources of Misiones
  13. National Parks Administration of Argentina
  14. Fundacion Proyungas
  15. Ledesma S.A.
  16. ARAUCO Argentina S.A.
  17. World Wildlife Fund Networks, U.S. Fish & Wildlife Service and the Hurvis Family
  18. World Wildlife Fund Team
  19. Directorate for Nature Management
  20. Norwegian Research Council

向作者/读者索取更多资源

Aim: Biodiversity loss is a major driver of ecosystem change, yet the ecological data required to detect and mitigate losses are often lacking. Recently, camera trap surveys have been suggested as a method for sampling local wildlife communities, because these observations can be collated into a global monitoring network. To demonstrate the potential of camera traps for global monitoring, we assembled data from multiple local camera trap surveys to evaluate the interchange between fine- and broad-scale processes impacting mammalian carnivore communities. Location: Argentina, Belize, Botswana, Canada, Indonesia, Iran, Madagascar, Nepal, Norway, Senegal, South Africa, and the U.S.A. Methods: We gathered camera trap data, totalling >100,000 trap nights, from across five continents. To analyse local and species-specific responses to anthropogenic and environmental variables, we fitted multispecies occurrence models to each study area. To analyse global-level responses, we then fitted a multispecies, multi-area occurrence model. Results: We recorded 4,805 detections of 96 mammalian carnivore species photographed across 1,714 camera stations located in 12 countries. At the global level, our models revealed that carnivore richness and occupancy within study areas was positively associated with prey availability. Occupancy within study areas also tended to increase with greater protection and greater distances to roads. The strength of these relationships, however, differed among countries. Main conclusions: We developed a research framework for leveraging global camera trap data to evaluate patterns of mammalian carnivore occurrence and richness across multiple spatial scales. Our research highlights the importance of intact prey populations and protected areas in conserving carnivore communities. Our research also highlights the potential of camera traps for monitoring wildlife communities and provides a case study for how this can be achieved on a global scale. We encourage greater integration and standardization among camera trap studies worldwide, which would help inform effective conservation planning for wildlife populations both locally and globally.

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