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

Fil: Rich, Lindsey N. Virginia Tech University. Department of Fish and Wildlife Conservation; Estados Unidos.

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Detalles Bibliográficos
Autores principales: Rich, Lindsey N., Davis, Courtney L., Farris, Zach J., Miller, David A. W., Tucker, Jody M., Hamel, Sandra, Farhadinia, Mohammad S., Steenweg, Robin, Di Bitetti, Mario Santiago, Thapa, Kanchan, Kane, Mamadou D., Sunarto, S., Robinson, Nathaniel P., Paviolo, Agustín Javier, Cruz, María Paula, Martins, Quinton, Gholikhani, Navid, Taktehrani, Ateih, Whittington, Jesse, Widodo, Febri A., Yoccoz, Nigel G., Wultsch, Claudia, Harmsen, Bart J., Kelly, Marcella J.
Formato: Artículo publishedVersion
Lenguaje:Inglés
Publicado: John Wiley & Sons 2017
Materias:
Big Data Analysis
Camera Traps
Carnivore
Global
Hierarchical Bayesian Models
Multi-Species Modeling
Species Richness
Species Occurrence
Acceso en línea:https://hdl.handle.net/20.500.12219/4130
Aporte de:
Repositorio Institucional Digital de la UNaM (RIDUNAM) de Universidad Nacional de Misiones
id I77-R195-20.500.12219-4130
record_format dspace
institution Universidad Nacional de Misiones
institution_str I-77
repository_str R-195
collection Repositorio Institucional Digital de la UNaM (RIDUNAM)
language Inglés
topic Big Data Analysis
Camera Traps
Carnivore
Global
Hierarchical Bayesian Models
Multi-Species Modeling
Species Richness
Species Occurrence
spellingShingle Big Data Analysis
Camera Traps
Carnivore
Global
Hierarchical Bayesian Models
Multi-Species Modeling
Species Richness
Species Occurrence
Rich, Lindsey N.
Davis, Courtney L.
Farris, Zach J.
Miller, David A. W.
Tucker, Jody M.
Hamel, Sandra
Farhadinia, Mohammad S.
Steenweg, Robin
Di Bitetti, Mario Santiago
Thapa, Kanchan
Kane, Mamadou D.
Sunarto, S.
Robinson, Nathaniel P.
Paviolo, Agustín Javier
Cruz, María Paula
Martins, Quinton
Gholikhani, Navid
Taktehrani, Ateih
Whittington, Jesse
Widodo, Febri A.
Yoccoz, Nigel G.
Wultsch, Claudia
Harmsen, Bart J.
Kelly, Marcella J.
Assessing global patterns in mammalian carnivore occupancy and richness by integrating local camera trap surveys
topic_facet Big Data Analysis
Camera Traps
Carnivore
Global
Hierarchical Bayesian Models
Multi-Species Modeling
Species Richness
Species Occurrence
description Fil: Rich, Lindsey N. Virginia Tech University. Department of Fish and Wildlife Conservation; Estados Unidos.
format Artículo
Artículo
publishedVersion
author Rich, Lindsey N.
Davis, Courtney L.
Farris, Zach J.
Miller, David A. W.
Tucker, Jody M.
Hamel, Sandra
Farhadinia, Mohammad S.
Steenweg, Robin
Di Bitetti, Mario Santiago
Thapa, Kanchan
Kane, Mamadou D.
Sunarto, S.
Robinson, Nathaniel P.
Paviolo, Agustín Javier
Cruz, María Paula
Martins, Quinton
Gholikhani, Navid
Taktehrani, Ateih
Whittington, Jesse
Widodo, Febri A.
Yoccoz, Nigel G.
Wultsch, Claudia
Harmsen, Bart J.
Kelly, Marcella J.
author_facet Rich, Lindsey N.
Davis, Courtney L.
Farris, Zach J.
Miller, David A. W.
Tucker, Jody M.
Hamel, Sandra
Farhadinia, Mohammad S.
Steenweg, Robin
Di Bitetti, Mario Santiago
Thapa, Kanchan
Kane, Mamadou D.
Sunarto, S.
Robinson, Nathaniel P.
Paviolo, Agustín Javier
Cruz, María Paula
Martins, Quinton
Gholikhani, Navid
Taktehrani, Ateih
Whittington, Jesse
Widodo, Febri A.
Yoccoz, Nigel G.
Wultsch, Claudia
Harmsen, Bart J.
Kelly, Marcella J.
author_sort Rich, Lindsey N.
title Assessing global patterns in mammalian carnivore occupancy and richness by integrating local camera trap surveys
title_short Assessing global patterns in mammalian carnivore occupancy and richness by integrating local camera trap surveys
title_full Assessing global patterns in mammalian carnivore occupancy and richness by integrating local camera trap surveys
title_fullStr Assessing global patterns in mammalian carnivore occupancy and richness by integrating local camera trap surveys
title_full_unstemmed Assessing global patterns in mammalian carnivore occupancy and richness by integrating local camera trap surveys
title_sort assessing global patterns in mammalian carnivore occupancy and richness by integrating local camera trap surveys
publisher John Wiley & Sons
publishDate 2017
url https://hdl.handle.net/20.500.12219/4130
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spelling I77-R195-20.500.12219-41302024-05-24T12:43:20Z Assessing global patterns in mammalian carnivore occupancy and richness by integrating local camera trap surveys Rich, Lindsey N. Davis, Courtney L. Farris, Zach J. Miller, David A. W. Tucker, Jody M. Hamel, Sandra Farhadinia, Mohammad S. Steenweg, Robin Di Bitetti, Mario Santiago Thapa, Kanchan Kane, Mamadou D. Sunarto, S. Robinson, Nathaniel P. Paviolo, Agustín Javier Cruz, María Paula Martins, Quinton Gholikhani, Navid Taktehrani, Ateih Whittington, Jesse Widodo, Febri A. Yoccoz, Nigel G. Wultsch, Claudia Harmsen, Bart J. Kelly, Marcella J. Big Data Analysis Camera Traps Carnivore Global Hierarchical Bayesian Models Multi-Species Modeling Species Richness Species Occurrence Fil: Rich, Lindsey N. Virginia Tech University. Department of Fish and Wildlife Conservation; Estados Unidos. Fil: Davis, Courtney L. University of Pennsylvania. Forest Resources Building. Department of Ecosystem Science and Management; Estados Unidos. Fil: Farris, Zach J. Auburn University. Department of Biological Sciences; Estados Unidos. Fil: Farris, Zach J. Virginia Tech University. Department of Fish and Wildlife Conservation; Estados Unidos. Fil: Miller, David A. W. University of Pennsylvania. Forest Resources Building. Department of Ecosystem Science and Management; Estados Unidos. Fil: Tucker, Jody M. U. S. Forest Service. Sequoia National Forest; Estados Unidos. Fil: Hamel, Sandra. The Arctic University of Norway Tromsø. Faculty of Biosciences, Fisheries and Economics. Department of Arctic and Marine Biology; Noruega. Fil: Farhadinia, Mohammad S. Iranian Cheetah Society; Irán. Fil: Farhadinia, Mohammad S. University of Oxford. Department of Zoology. Wildlife Conservation Research; Reino Unido. Fil: Steenweg, Robin. State University of Montana. Department of Ecosystem and Conservation Science. Wildlife Biology Program; Estados Unidos. Fil: Di Bitetti, Mario Santiago. Universidad Nacional de Misiones. Instituto de Biologia Subtropical. Nodo Puerto Iguazú; Argentina. Fil: Di Bitetti, Mario Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biologia Subtropical. Nodo Puerto Iguazú; Argentina. Fil: Di Bitetti, Mario Santiago. Asociación Civil Centro de Investigaciones del Bosque Atlántico; Argentina. Fil: Di Bitetti, Mario Santiago. Universidad Nacional de Misiones. Facultad de Ciencias Forestales; Argentina. Fil: Thapa, Kanchan. Virginia Tech University. Department of Fish and Wildlife Conservation; Estados Unidos. Fil: Thapa, Kanchan. World Wildlife Fund. Conservation Science Unit; Estados Unidos. Fil: Kane, Mamadou D. Senegalese National Parks; Senegal. Fil: Sunarto, S. World Wildlife Fund; Indonesia. Fil: Robinson, Nathaniel P. University of Montana. College of Forestry and Conservation; Estados Unidos. Fil: Paviolo, Agustín Javier. Universidad Nacional de Misiones. Instituto de Biología Subtropical. Nodo Puerto Iguazú; Argentina. Fil: Paviolo, Agustín Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología Subtropical. Nodo Puerto Iguazú; Argentina. Fil: Paviolo, Agustín Javier. Asociación Civil Centro de Investigaciones del Bosque Atlántico; Argentina. Fil: Cruz, María Paula. Universidad Nacional de Misiones. Instituto de Biología Subtropical. Nodo Puerto Iguazú; Argentina. Fil: Cruz, María Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología Subtropical. Nodo Puerto Iguazú; Argentina. Fil: Cruz, María Paula. Asociación Civil Centro de Investigaciones del Bosque Atlántico; Argentina. Fil: Martins, Quinton. The Cape Leopard Trust; Sudáfrica. Fil: Martins, Quinton. Audubon Canyon Ranch; Estados Unidos. Fil: Gholikhani, Navid. Iranian Cheetah Society; Irán. Fil: Taktehrani, Ateih. Iranian Cheetah Society; Irán. Fil: Whittington, Jesse. Banff National Park Resource Conservation; Canadá. Fil: Widodo, Febri A. World Wildlife Fund; Indonesia. Fil: Yoccoz, Nigel G. The Arctic University of Norway Tromsø. Faculty of Biosciences, Fisheries and Economics. Department of Arctic and Marine Biology; Noruega. Fil: Wultsch, Claudia. Virginia Tech University. Department of Fish and Wildlife Conservation; Estados Unidos. Fil: Wultsch, Claudia. Virginia. Sackler Institute for Comparative Genomics. American Museum of Natural History; Estados Unidos. Fil: Wultsch, Claudia. Virginia. Panthera (New York); Estados Unidos. Fil: Harmsen, Bart J. Panthera (New York); Estados Unidos. Fil: Harmsen, Bart J. University of Belize, Environmental Research Institute; Belice. Fil: Kelly, Marcella J. Virginia Tech University. Department of Fish and Wildlife Conservation; Estados Unidos. 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 globalmonitoring, 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 bothlocally and globally. 2017-06-23 info:eu-repo/semantics/article info:ar-repo/semantics/artículo info:eu-repo/semantics/publishedVersion https://hdl.handle.net/20.500.12219/4130 eng info:eu-repo/semantics/altIdentifier/urn/https://onlinelibrary.wiley.com/doi/abs/10.1111/geb.12600 info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1111/geb.12600 info:eu-repo/semantics/openAccess application/pdf application/pdf 1.604 MB John Wiley & Sons

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