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dc.creatorRich, Lindsey N.
dc.creatorDavis, Courtney L.
dc.creatorFarris, Zach J.
dc.creatorMiller, David A. W.
dc.creatorTucker, Jody M.
dc.creatorHamel, Sandra
dc.creatorFarhadinia, Mohammad S.
dc.creatorSteenweg, Robin
dc.creatorDi Bitetti, Mario Santiago
dc.creatorThapa, Kanchan
dc.creatorKane, Mamadou D.
dc.creatorSunarto, S.
dc.creatorRobinson, Nathaniel P.
dc.creatorPaviolo, Agustin Javier
dc.creatorCruz, María Paula
dc.creatorMartins, Quinton
dc.creatorGholikhani, Navid
dc.creatorTaktehrani, Ateih
dc.creatorWhittington, Jesse
dc.creatorWidodo, Febri A.
dc.creatorYoccoz, Nigel G.
dc.creatorWultsch, Claudia
dc.creatorHarmsen, Bart J.
dc.creatorKelly, Marcella J.
dc.date.accessioned2023-01-07T14:25:29Z
dc.date.available2023-01-07T14:25:29Z
dc.date.issued2017-06-23
dc.identifier.citationRich, L. N., Davis, C. L., Farris, Z. J., Miller, D. A. W., Tucker, J. M., Hamel, S.,…Kelly, M. J. (2017). Assessing global patterns in mammalian carnivore occupancy and richness by integrating local camera trap surveys. Global Ecology and Biogeography: John Wiley & Sons; 26(8), pp. 1-12.es_AR
dc.identifier.issn1466-822X
dc.identifier.otherCCPI-FCF-A-048
dc.identifier.other8047
dc.identifier.urihttps://hdl.handle.net/20.500.12219/4130
dc.descriptionFil: Rich, Lindsey N. Virginia Tech University. Department of Fish and Wildlife Conservation; Estados Unidos.es_AR
dc.descriptionFil: Davis, Courtney L. University of Pennsylvania. Forest Resources Building. Department of Ecosystem Science and Management; Estados Unidos.es_AR
dc.descriptionFil: Farris, Zach J. Auburn University. Department of Biological Sciences; Estados Unidos.es_AR
dc.descriptionFil: Farris, Zach J. Virginia Tech University. Department of Fish and Wildlife Conservation; Estados Unidos.es_AR
dc.descriptionFil: Miller, David A. W. University of Pennsylvania. Forest Resources Building. Department of Ecosystem Science and Management; Estados Unidos.es_AR
dc.descriptionFil: Tucker, Jody M. U. S. Forest Service. Sequoia National Forest; Estados Unidos.es_AR
dc.descriptionFil: Hamel, Sandra. The Arctic University of Norway Tromsø. Faculty of Biosciences, Fisheries and Economics. Department of Arctic and Marine Biology; Noruega.es_AR
dc.descriptionFil: Farhadinia, Mohammad S. Iranian Cheetah Society; Irán.es_AR
dc.descriptionFil: Farhadinia, Mohammad S. University of Oxford. Department of Zoology. Wildlife Conservation Research; Reino Unido.es_AR
dc.descriptionFil: Steenweg, Robin. State University of Montana. Department of Ecosystem and Conservation Science. Wildlife Biology Program; Estados Unidos.es_AR
dc.descriptionFil: Di Bitetti, Mario Santiago. Universidad Nacional de Misiones. Instituto de Biologia Subtropical. Nodo Puerto Iguazú; Argentina.es_AR
dc.descriptionFil: Di Bitetti, Mario Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biologia Subtropical. Nodo Puerto Iguazú; Argentina.es_AR
dc.descriptionFil: Di Bitetti, Mario Santiago. Asociación Civil Centro de Investigaciones del Bosque Atlántico; Argentina.es_AR
dc.descriptionFil: Di Bitetti, Mario Santiago. Universidad Nacional de Misiones. Facultad de Ciencias Forestales; Argentina.es_AR
dc.descriptionFil: Thapa, Kanchan. Virginia Tech University. Department of Fish and Wildlife Conservation; Estados Unidos.es_AR
dc.descriptionFil: Thapa, Kanchan. World Wildlife Fund. Conservation Science Unit; Estados Unidos.es_AR
dc.descriptionFil: Kane, Mamadou D. Senegalese National Parks; Senegal.es_AR
dc.descriptionFil: Sunarto, S. World Wildlife Fund; Indonesia.es_AR
dc.descriptionFil: Robinson, Nathaniel P. University of Montana. College of Forestry and Conservation; Estados Unidos.es_AR
dc.descriptionFil: Paviolo, Agustín Javier. Universidad Nacional de Misiones. Instituto de Biología Subtropical. Nodo Puerto Iguazú; Argentina.es_AR
dc.descriptionFil: Paviolo, Agustín Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología Subtropical. Nodo Puerto Iguazú; Argentina.es_AR
dc.descriptionFil: Paviolo, Agustín Javier. Asociación Civil Centro de Investigaciones del Bosque Atlántico; Argentina.es_AR
dc.descriptionFil: Cruz, María Paula. Universidad Nacional de Misiones. Instituto de Biología Subtropical. Nodo Puerto Iguazú; Argentina.es_AR
dc.descriptionFil: Cruz, María Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología Subtropical. Nodo Puerto Iguazú; Argentina.es_AR
dc.descriptionFil: Cruz, María Paula. Asociación Civil Centro de Investigaciones del Bosque Atlántico; Argentina.es_AR
dc.descriptionFil: Martins, Quinton. The Cape Leopard Trust; Sudáfrica.es_AR
dc.descriptionFil: Martins, Quinton. Audubon Canyon Ranch; Estados Unidos.es_AR
dc.descriptionFil: Gholikhani, Navid. Iranian Cheetah Society; Irán.es_AR
dc.descriptionFil: Taktehrani, Ateih. Iranian Cheetah Society; Irán.es_AR
dc.descriptionFil: Whittington, Jesse. Banff National Park Resource Conservation; Canadá.es_AR
dc.descriptionFil: Widodo, Febri A. World Wildlife Fund; Indonesia.es_AR
dc.descriptionFil: Yoccoz, Nigel G. The Arctic University of Norway Tromsø. Faculty of Biosciences, Fisheries and Economics. Department of Arctic and Marine Biology; Noruega.es_AR
dc.descriptionFil: Wultsch, Claudia. Virginia Tech University. Department of Fish and Wildlife Conservation; Estados Unidos.es_AR
dc.descriptionFil: Wultsch, Claudia. Virginia. Sackler Institute for Comparative Genomics. American Museum of Natural History; Estados Unidos.es_AR
dc.descriptionFil: Wultsch, Claudia. Virginia. Panthera (New York); Estados Unidos.es_AR
dc.descriptionFil: Harmsen, Bart J. Panthera (New York); Estados Unidos.es_AR
dc.descriptionFil: Harmsen, Bart J. University of Belize, Environmental Research Institute; Belice.es_AR
dc.descriptionFil: Kelly, Marcella J. Virginia Tech University. Department of Fish and Wildlife Conservation; Estados Unidos.es_AR
dc.description.abstractBiodiversity 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.en
dc.formatapplication/pdf
dc.format.extent1.604 MB
dc.language.isoenges_AR
dc.publisherJohn Wiley & Sonsen
dc.relationinfo:eu-repo/semantics/altIdentifier/urn/https://onlinelibrary.wiley.com/doi/abs/10.1111/geb.12600
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1111/geb.12600
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subjectBig Data Analysisen
dc.subjectCamera Trapsen
dc.subjectCarnivoreen
dc.subjectGlobalen
dc.subjectHierarchical Bayesian Modelsen
dc.subjectMulti-Species Modelingen
dc.subjectSpecies Richnessen
dc.subjectSpecies Occurrenceen
dc.titleAssessing global patterns in mammalian carnivore occupancy and richness by integrating local camera trap surveysen
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


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