Use of Camera-Trapping to Estimate Puma Density and Influencing Factors in Central Brazil

We used remotely triggered cameras to collect data on Puma (Puma concolor) abundance and occupancy in an area of tropical forest in Brazil where the species’ status is poorly known. To evaluate factors influencing puma occupancy we used data from 5 sampling campaigns in 3 consecutive years (2005 to...

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Detalles Bibliográficos
Autores: Negroes, Nuno, Sarmento, Pedro, Cruz, Joana, Eira, Catarina, Revilla, Eloy, Fonseca, Carlos, Torres, Natália M., Furtado, Mariana M., Sollmann, Rahel
Tipo de recurso: artículo
Fecha de publicación:2010
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/51757
Acceso en línea:http://hdl.handle.net/10261/51757
Access Level:acceso abierto
Palabra clave:Amazon Basin
Camera-trapping
CAPTURE software
Density estimation
Individual identification
Private reserve
Puma concolor
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spelling Use of Camera-Trapping to Estimate Puma Density and Influencing Factors in Central BrazilNegroes, NunoSarmento, PedroCruz, JoanaEira, CatarinaRevilla, EloyFonseca, CarlosTorres, Natália M.Furtado, Mariana M.Sollmann, RahelAmazon BasinCamera-trappingCAPTURE softwareDensity estimationIndividual identificationPrivate reservePuma concolorWe used remotely triggered cameras to collect data on Puma (Puma concolor) abundance and occupancy in an area of tropical forest in Brazil where the species’ status is poorly known. To evaluate factors influencing puma occupancy we used data from 5 sampling campaigns in 3 consecutive years (2005 to 2007) and 2 seasons (wet and dry), at a state park and a private forest reserve. We estimated puma numbers and density for the 2007 sampling data by developing a standardized individual identification method. We based individual identification on 1) time-stable parameters (SP; physical features that do not change over time), and 2) time-variable parameters (VP; marks that could change over time such as scars and botfly marks). Following individual identification we established a capture–recapture history and analyzed it using closed population capture–mark–recapture models. Puma capture probability was influenced by camera placement (roads vs. trails), sampling year, and prey richness. Puma occupancy was positively associated with species richness and there was a correlation between relative puma and jaguar (Panthera onca) abundance. Identifications enabled us to generate 8 VP histories for each photographed flank, corresponding to 8 individuals. We estimated the sampled population at 9 pumas (SE 5 1.03, 95% CI 5 8–10 individuals) translating to a density of 3.40 pumas/100 km2. Information collected using camera-traps can effectively be used to assess puma population size in tropical forests. As habitat progressively disappears and South American felines become more vulnerable, our results support the critical importance of private forest reserves for conservationPeer reviewedWildlife Society201220122010info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501http://hdl.handle.net/10261/51757reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://dx.doi.org/10.2193/2009-256info:eu-repo/semantics/openAccessoai:digital.csic.es:10261/517572026-05-22T06:33:51Z
dc.title.none.fl_str_mv Use of Camera-Trapping to Estimate Puma Density and Influencing Factors in Central Brazil
title Use of Camera-Trapping to Estimate Puma Density and Influencing Factors in Central Brazil
spellingShingle Use of Camera-Trapping to Estimate Puma Density and Influencing Factors in Central Brazil
Negroes, Nuno
Amazon Basin
Camera-trapping
CAPTURE software
Density estimation
Individual identification
Private reserve
Puma concolor
title_short Use of Camera-Trapping to Estimate Puma Density and Influencing Factors in Central Brazil
title_full Use of Camera-Trapping to Estimate Puma Density and Influencing Factors in Central Brazil
title_fullStr Use of Camera-Trapping to Estimate Puma Density and Influencing Factors in Central Brazil
title_full_unstemmed Use of Camera-Trapping to Estimate Puma Density and Influencing Factors in Central Brazil
title_sort Use of Camera-Trapping to Estimate Puma Density and Influencing Factors in Central Brazil
dc.creator.none.fl_str_mv Negroes, Nuno
Sarmento, Pedro
Cruz, Joana
Eira, Catarina
Revilla, Eloy
Fonseca, Carlos
Torres, Natália M.
Furtado, Mariana M.
Sollmann, Rahel
author Negroes, Nuno
author_facet Negroes, Nuno
Sarmento, Pedro
Cruz, Joana
Eira, Catarina
Revilla, Eloy
Fonseca, Carlos
Torres, Natália M.
Furtado, Mariana M.
Sollmann, Rahel
author_role author
author2 Sarmento, Pedro
Cruz, Joana
Eira, Catarina
Revilla, Eloy
Fonseca, Carlos
Torres, Natália M.
Furtado, Mariana M.
Sollmann, Rahel
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Amazon Basin
Camera-trapping
CAPTURE software
Density estimation
Individual identification
Private reserve
Puma concolor
topic Amazon Basin
Camera-trapping
CAPTURE software
Density estimation
Individual identification
Private reserve
Puma concolor
description We used remotely triggered cameras to collect data on Puma (Puma concolor) abundance and occupancy in an area of tropical forest in Brazil where the species’ status is poorly known. To evaluate factors influencing puma occupancy we used data from 5 sampling campaigns in 3 consecutive years (2005 to 2007) and 2 seasons (wet and dry), at a state park and a private forest reserve. We estimated puma numbers and density for the 2007 sampling data by developing a standardized individual identification method. We based individual identification on 1) time-stable parameters (SP; physical features that do not change over time), and 2) time-variable parameters (VP; marks that could change over time such as scars and botfly marks). Following individual identification we established a capture–recapture history and analyzed it using closed population capture–mark–recapture models. Puma capture probability was influenced by camera placement (roads vs. trails), sampling year, and prey richness. Puma occupancy was positively associated with species richness and there was a correlation between relative puma and jaguar (Panthera onca) abundance. Identifications enabled us to generate 8 VP histories for each photographed flank, corresponding to 8 individuals. We estimated the sampled population at 9 pumas (SE 5 1.03, 95% CI 5 8–10 individuals) translating to a density of 3.40 pumas/100 km2. Information collected using camera-traps can effectively be used to assess puma population size in tropical forests. As habitat progressively disappears and South American felines become more vulnerable, our results support the critical importance of private forest reserves for conservation
publishDate 2010
dc.date.none.fl_str_mv 2010
2012
2012
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/51757
url http://hdl.handle.net/10261/51757
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv http://dx.doi.org/10.2193/2009-256
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Wildlife Society
publisher.none.fl_str_mv Wildlife Society
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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