Comparing capture-recapture, mark-resight, and spatial mark-resight models for estimating puma densities via camera traps

Autores
Rich, Lindsey N.; Kelly, Marcella J.; Sollmann, Rahel; Noss, Andrew; Maffei, Leonardo; Arispe, Rosario L.; Paviolo, Agustin Javier; de Angelo, Carlos Daniel; Di Blanco, Yamil Edgardo; Di Bitetti, Mario Santiago
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Camera-trapping surveys, in combination with traditional capture-recapture or spatially explicit capture-recapture techniques, have become popular for estimating the density of individually identifiable carnivores. When only a portion of the population is uniquely identifiable, traditional and spatial mark-resight models provide a viable alternative. We reanalyzed a data set that used photographic capture?recapture methods to estimate the densities of pumas (Puma concolor) across 3 study sites in Belize, Argentina, and Bolivia using newer, more-advanced modeling including spatial and nonspatial mark?resight techniques. Additionally, we assessed how photo identification influenced density estimates by comparing estimates based on capture histories constructed by 3 independent investigators. We estimated the abundances of pumas using mark-resight models in program MARK and then estimated densities ad hoc. We also estimated densities directly using spatial mark?resight models implemented in a Bayesian framework. Puma densities did not vary substantially among observers but estimates generated from the 3 statistical techniques did differ. Density estimates (pumas/100 km2) from spatial mark-resight models were lower (0.22-7.92) and had increased precision compared to those from nonspatial capture-recapture (0.50-19.35) and mark-resight techniques (0.54-14.70). Our study is the 1st to estimate the density of a population of carnivores, where only a subset of the individuals are naturally marked, using camera-trapping surveys in combination with spatial mark-resight models. The development of spatial mark-resight and spatially explicit capture-recapture techniques creates the potential for using a single cameratrapping array to estimate the density of multiple, sympatric carnivores, including both partially marked and uniquely marked species.
Fil: Rich, Lindsey N.. Virginia Polytechnic Institute And State University; Estados Unidos
Fil: Kelly, Marcella J.. Virginia Polytechnic Institute And State University; Estados Unidos
Fil: Sollmann, Rahel. North Carolina State University; Estados Unidos
Fil: Noss, Andrew. University of Florida; Estados Unidos
Fil: Maffei, Leonardo. Wildlife Conservation Society; Perú
Fil: Arispe, Rosario L.. Museo de Historia Natural Noel Kempff Mercado; Bolivia
Fil: Paviolo, Agustin Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Universidad Nacional de Misiones. Instituto de Biología Subtropical; Argentina
Fil: de Angelo, Carlos Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú | Universidad Nacional de Misiones. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú; Argentina
Fil: Di Blanco, Yamil Edgardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú | Universidad Nacional de Misiones. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú; Argentina
Fil: Di Bitetti, Mario Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Universidad Nacional de Misiones. Instituto de Biología Subtropical; Argentina
Materia
CAMERA TRAPPING
CAPTURE-RECAPTURE
DENSITY
NEOTROPICS
PUMA CONCOLOR
SPATIAL MARK-RESIGHT
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/76450
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/76450
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Comparing capture-recapture, mark-resight, and spatial mark-resight models for estimating puma densities via camera trapsRich, Lindsey N.Kelly, Marcella J.Sollmann, RahelNoss, AndrewMaffei, LeonardoArispe, Rosario L.Paviolo, Agustin Javierde Angelo, Carlos DanielDi Blanco, Yamil EdgardoDi Bitetti, Mario SantiagoCAMERA TRAPPINGCAPTURE-RECAPTUREDENSITYNEOTROPICSPUMA CONCOLORSPATIAL MARK-RESIGHThttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Camera-trapping surveys, in combination with traditional capture-recapture or spatially explicit capture-recapture techniques, have become popular for estimating the density of individually identifiable carnivores. When only a portion of the population is uniquely identifiable, traditional and spatial mark-resight models provide a viable alternative. We reanalyzed a data set that used photographic capture?recapture methods to estimate the densities of pumas (Puma concolor) across 3 study sites in Belize, Argentina, and Bolivia using newer, more-advanced modeling including spatial and nonspatial mark?resight techniques. Additionally, we assessed how photo identification influenced density estimates by comparing estimates based on capture histories constructed by 3 independent investigators. We estimated the abundances of pumas using mark-resight models in program MARK and then estimated densities ad hoc. We also estimated densities directly using spatial mark?resight models implemented in a Bayesian framework. Puma densities did not vary substantially among observers but estimates generated from the 3 statistical techniques did differ. Density estimates (pumas/100 km2) from spatial mark-resight models were lower (0.22-7.92) and had increased precision compared to those from nonspatial capture-recapture (0.50-19.35) and mark-resight techniques (0.54-14.70). Our study is the 1st to estimate the density of a population of carnivores, where only a subset of the individuals are naturally marked, using camera-trapping surveys in combination with spatial mark-resight models. The development of spatial mark-resight and spatially explicit capture-recapture techniques creates the potential for using a single cameratrapping array to estimate the density of multiple, sympatric carnivores, including both partially marked and uniquely marked species.Fil: Rich, Lindsey N.. Virginia Polytechnic Institute And State University; Estados UnidosFil: Kelly, Marcella J.. Virginia Polytechnic Institute And State University; Estados UnidosFil: Sollmann, Rahel. North Carolina State University; Estados UnidosFil: Noss, Andrew. University of Florida; Estados UnidosFil: Maffei, Leonardo. Wildlife Conservation Society; PerúFil: Arispe, Rosario L.. Museo de Historia Natural Noel Kempff Mercado; BoliviaFil: Paviolo, Agustin Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Universidad Nacional de Misiones. Instituto de Biología Subtropical; ArgentinaFil: de Angelo, Carlos Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú | Universidad Nacional de Misiones. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú; ArgentinaFil: Di Blanco, Yamil Edgardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú | Universidad Nacional de Misiones. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú; ArgentinaFil: Di Bitetti, Mario Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Universidad Nacional de Misiones. Instituto de Biología Subtropical; ArgentinaAlliance Communications Group Division Allen Press2014-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/76450Rich, Lindsey N.; Kelly, Marcella J.; Sollmann, Rahel; Noss, Andrew; Maffei, Leonardo; et al.; Comparing capture-recapture, mark-resight, and spatial mark-resight models for estimating puma densities via camera traps; Alliance Communications Group Division Allen Press; Journal of Mammalogy; 95; 2; 4-2014; 382-3910022-23721545-1542CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.bioone.org/doi/abs/10.1644/13-MAMM-A-126info:eu-repo/semantics/altIdentifier/doi/10.1644/13-MAMM-A-126info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:57:41Zoai:ri.conicet.gov.ar:11336/76450instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:57:42.141CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Comparing capture-recapture, mark-resight, and spatial mark-resight models for estimating puma densities via camera traps
title Comparing capture-recapture, mark-resight, and spatial mark-resight models for estimating puma densities via camera traps
spellingShingle Comparing capture-recapture, mark-resight, and spatial mark-resight models for estimating puma densities via camera traps
Rich, Lindsey N.
CAMERA TRAPPING
CAPTURE-RECAPTURE
DENSITY
NEOTROPICS
PUMA CONCOLOR
SPATIAL MARK-RESIGHT
title_short Comparing capture-recapture, mark-resight, and spatial mark-resight models for estimating puma densities via camera traps
title_full Comparing capture-recapture, mark-resight, and spatial mark-resight models for estimating puma densities via camera traps
title_fullStr Comparing capture-recapture, mark-resight, and spatial mark-resight models for estimating puma densities via camera traps
title_full_unstemmed Comparing capture-recapture, mark-resight, and spatial mark-resight models for estimating puma densities via camera traps
title_sort Comparing capture-recapture, mark-resight, and spatial mark-resight models for estimating puma densities via camera traps
dc.creator.none.fl_str_mv Rich, Lindsey N.
Kelly, Marcella J.
Sollmann, Rahel
Noss, Andrew
Maffei, Leonardo
Arispe, Rosario L.
Paviolo, Agustin Javier
de Angelo, Carlos Daniel
Di Blanco, Yamil Edgardo
Di Bitetti, Mario Santiago
author Rich, Lindsey N.
author_facet Rich, Lindsey N.
Kelly, Marcella J.
Sollmann, Rahel
Noss, Andrew
Maffei, Leonardo
Arispe, Rosario L.
Paviolo, Agustin Javier
de Angelo, Carlos Daniel
Di Blanco, Yamil Edgardo
Di Bitetti, Mario Santiago
author_role author
author2 Kelly, Marcella J.
Sollmann, Rahel
Noss, Andrew
Maffei, Leonardo
Arispe, Rosario L.
Paviolo, Agustin Javier
de Angelo, Carlos Daniel
Di Blanco, Yamil Edgardo
Di Bitetti, Mario Santiago
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv CAMERA TRAPPING
CAPTURE-RECAPTURE
DENSITY
NEOTROPICS
PUMA CONCOLOR
SPATIAL MARK-RESIGHT
topic CAMERA TRAPPING
CAPTURE-RECAPTURE
DENSITY
NEOTROPICS
PUMA CONCOLOR
SPATIAL MARK-RESIGHT
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Camera-trapping surveys, in combination with traditional capture-recapture or spatially explicit capture-recapture techniques, have become popular for estimating the density of individually identifiable carnivores. When only a portion of the population is uniquely identifiable, traditional and spatial mark-resight models provide a viable alternative. We reanalyzed a data set that used photographic capture?recapture methods to estimate the densities of pumas (Puma concolor) across 3 study sites in Belize, Argentina, and Bolivia using newer, more-advanced modeling including spatial and nonspatial mark?resight techniques. Additionally, we assessed how photo identification influenced density estimates by comparing estimates based on capture histories constructed by 3 independent investigators. We estimated the abundances of pumas using mark-resight models in program MARK and then estimated densities ad hoc. We also estimated densities directly using spatial mark?resight models implemented in a Bayesian framework. Puma densities did not vary substantially among observers but estimates generated from the 3 statistical techniques did differ. Density estimates (pumas/100 km2) from spatial mark-resight models were lower (0.22-7.92) and had increased precision compared to those from nonspatial capture-recapture (0.50-19.35) and mark-resight techniques (0.54-14.70). Our study is the 1st to estimate the density of a population of carnivores, where only a subset of the individuals are naturally marked, using camera-trapping surveys in combination with spatial mark-resight models. The development of spatial mark-resight and spatially explicit capture-recapture techniques creates the potential for using a single cameratrapping array to estimate the density of multiple, sympatric carnivores, including both partially marked and uniquely marked species.
Fil: Rich, Lindsey N.. Virginia Polytechnic Institute And State University; Estados Unidos
Fil: Kelly, Marcella J.. Virginia Polytechnic Institute And State University; Estados Unidos
Fil: Sollmann, Rahel. North Carolina State University; Estados Unidos
Fil: Noss, Andrew. University of Florida; Estados Unidos
Fil: Maffei, Leonardo. Wildlife Conservation Society; Perú
Fil: Arispe, Rosario L.. Museo de Historia Natural Noel Kempff Mercado; Bolivia
Fil: Paviolo, Agustin Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Universidad Nacional de Misiones. Instituto de Biología Subtropical; Argentina
Fil: de Angelo, Carlos Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú | Universidad Nacional de Misiones. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú; Argentina
Fil: Di Blanco, Yamil Edgardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú | Universidad Nacional de Misiones. Instituto de Biología Subtropical. Instituto de Biología Subtropical - Nodo Puerto Iguazú; Argentina
Fil: Di Bitetti, Mario Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Universidad Nacional de Misiones. Instituto de Biología Subtropical; Argentina
description Camera-trapping surveys, in combination with traditional capture-recapture or spatially explicit capture-recapture techniques, have become popular for estimating the density of individually identifiable carnivores. When only a portion of the population is uniquely identifiable, traditional and spatial mark-resight models provide a viable alternative. We reanalyzed a data set that used photographic capture?recapture methods to estimate the densities of pumas (Puma concolor) across 3 study sites in Belize, Argentina, and Bolivia using newer, more-advanced modeling including spatial and nonspatial mark?resight techniques. Additionally, we assessed how photo identification influenced density estimates by comparing estimates based on capture histories constructed by 3 independent investigators. We estimated the abundances of pumas using mark-resight models in program MARK and then estimated densities ad hoc. We also estimated densities directly using spatial mark?resight models implemented in a Bayesian framework. Puma densities did not vary substantially among observers but estimates generated from the 3 statistical techniques did differ. Density estimates (pumas/100 km2) from spatial mark-resight models were lower (0.22-7.92) and had increased precision compared to those from nonspatial capture-recapture (0.50-19.35) and mark-resight techniques (0.54-14.70). Our study is the 1st to estimate the density of a population of carnivores, where only a subset of the individuals are naturally marked, using camera-trapping surveys in combination with spatial mark-resight models. The development of spatial mark-resight and spatially explicit capture-recapture techniques creates the potential for using a single cameratrapping array to estimate the density of multiple, sympatric carnivores, including both partially marked and uniquely marked species.
publishDate 2014
dc.date.none.fl_str_mv 2014-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/76450
Rich, Lindsey N.; Kelly, Marcella J.; Sollmann, Rahel; Noss, Andrew; Maffei, Leonardo; et al.; Comparing capture-recapture, mark-resight, and spatial mark-resight models for estimating puma densities via camera traps; Alliance Communications Group Division Allen Press; Journal of Mammalogy; 95; 2; 4-2014; 382-391
0022-2372
1545-1542
CONICET Digital
CONICET
url http://hdl.handle.net/11336/76450
identifier_str_mv Rich, Lindsey N.; Kelly, Marcella J.; Sollmann, Rahel; Noss, Andrew; Maffei, Leonardo; et al.; Comparing capture-recapture, mark-resight, and spatial mark-resight models for estimating puma densities via camera traps; Alliance Communications Group Division Allen Press; Journal of Mammalogy; 95; 2; 4-2014; 382-391
0022-2372
1545-1542
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.bioone.org/doi/abs/10.1644/13-MAMM-A-126
info:eu-repo/semantics/altIdentifier/doi/10.1644/13-MAMM-A-126
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Alliance Communications Group Division Allen Press
publisher.none.fl_str_mv Alliance Communications Group Division Allen Press
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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