How many are there? Multiple-covariate distance sampling for monitoring pampas deer in Corrientes, Argentina

Autores
Zamboni, Talía Madalí; Delgado, Fanny Alicia; Jiménez-Pérez, Ignacio; de Angelo, Carlos Daniel
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Context The pampas deer (Ozotoceros bezoarticus) is an endangered species in Argentina. Scarce information exists about one of the four last populations that survive in Corrientes province, where direct counts estimated a population of <500 individuals. Aims To evaluate the status of the pampas deer population in Corrientes by applying a standardised methodology and to develop methodological recommendations for future deer monitoring. Methods We conducted six population censuses between 2007 and 2010, using line transects placed on roads throughout 1200km2 of grasslands in the Aguapey region, Corrientes, Argentina. From a moving vehicle, we counted every pampas deer group observed along transects. We used Distance 6.0 and its multiple-covariate distance sampling engine to estimate deer density, while exploring the potential effect of roads, habitat type, hour, season, observer experience and survey effort on deer occurrence and density estimation. Key results The occurrence of pampas deer was irrespective of transect location (minor or major road) but a greater number of animals was detected over transects in minor roads and in areas covered by grasslands with young pine plantations. We estimated a density of 1.17 individuals km-2 (s.e.≤0.52), and habitat type was the most important covariate for density estimation. We estimated a total population of 1495 deer (95% CI≤951-2351, CV≤23.27%) for the Aguapey region in Argentina. Conclusions Corrientes hosts one of the largest populations of pampas deer in Argentina, with ∼1000 individuals. The fact that we estimated a larger population than did previous studies could be explained either by actual population growth during the past 10 years, or by the use of more exhaustive and sophisticated sampling design and data analysis. Implications Population surveys using covariate distance sampling on ground line transects can provide more realistic population estimates than do other simpler methods. Our population estimates and methods can be used as a baseline for future monitoring of this population, as long as factors such as sampling effort, type of roads for locating transects, and habitat type are considered in future analysis.
Fil: Zamboni, Talía Madalí. Universidad Nacional de Córdoba; Argentina
Fil: Delgado, Fanny Alicia. The Conservation Land Trust Argentina; Argentina
Fil: Jiménez-Pérez, Ignacio. The Conservation Land Trust Argentina; Argentina
Fil: de Angelo, Carlos Daniel. 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
Habitat Type
Line Transects
Ozotoceros Bezoarticus
Roads
Survey Effort
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:11336/77490

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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling How many are there? Multiple-covariate distance sampling for monitoring pampas deer in Corrientes, ArgentinaZamboni, Talía MadalíDelgado, Fanny AliciaJiménez-Pérez, Ignaciode Angelo, Carlos DanielHabitat TypeLine TransectsOzotoceros BezoarticusRoadsSurvey Efforthttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Context The pampas deer (Ozotoceros bezoarticus) is an endangered species in Argentina. Scarce information exists about one of the four last populations that survive in Corrientes province, where direct counts estimated a population of <500 individuals. Aims To evaluate the status of the pampas deer population in Corrientes by applying a standardised methodology and to develop methodological recommendations for future deer monitoring. Methods We conducted six population censuses between 2007 and 2010, using line transects placed on roads throughout 1200km2 of grasslands in the Aguapey region, Corrientes, Argentina. From a moving vehicle, we counted every pampas deer group observed along transects. We used Distance 6.0 and its multiple-covariate distance sampling engine to estimate deer density, while exploring the potential effect of roads, habitat type, hour, season, observer experience and survey effort on deer occurrence and density estimation. Key results The occurrence of pampas deer was irrespective of transect location (minor or major road) but a greater number of animals was detected over transects in minor roads and in areas covered by grasslands with young pine plantations. We estimated a density of 1.17 individuals km-2 (s.e.≤0.52), and habitat type was the most important covariate for density estimation. We estimated a total population of 1495 deer (95% CI≤951-2351, CV≤23.27%) for the Aguapey region in Argentina. Conclusions Corrientes hosts one of the largest populations of pampas deer in Argentina, with ∼1000 individuals. The fact that we estimated a larger population than did previous studies could be explained either by actual population growth during the past 10 years, or by the use of more exhaustive and sophisticated sampling design and data analysis. Implications Population surveys using covariate distance sampling on ground line transects can provide more realistic population estimates than do other simpler methods. Our population estimates and methods can be used as a baseline for future monitoring of this population, as long as factors such as sampling effort, type of roads for locating transects, and habitat type are considered in future analysis.Fil: Zamboni, Talía Madalí. Universidad Nacional de Córdoba; ArgentinaFil: Delgado, Fanny Alicia. The Conservation Land Trust Argentina; ArgentinaFil: Jiménez-Pérez, Ignacio. The Conservation Land Trust Argentina; ArgentinaFil: de Angelo, Carlos Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Biología Subtropical. Universidad Nacional de Misiones. Instituto de Biología Subtropical; ArgentinaCsiro Publishing2015-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/77490Zamboni, Talía Madalí; Delgado, Fanny Alicia; Jiménez-Pérez, Ignacio; de Angelo, Carlos Daniel; How many are there? Multiple-covariate distance sampling for monitoring pampas deer in Corrientes, Argentina; Csiro Publishing; Wildlife Research; 42; 4; 5-2015; 291-3011035-3712CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.publish.csiro.au/wr/WR14222info:eu-repo/semantics/altIdentifier/doi/10.1071/WR14222info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:56:36Zoai:ri.conicet.gov.ar:11336/77490instacron: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:34982025-10-15 14:56:36.969CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv How many are there? Multiple-covariate distance sampling for monitoring pampas deer in Corrientes, Argentina
title How many are there? Multiple-covariate distance sampling for monitoring pampas deer in Corrientes, Argentina
spellingShingle How many are there? Multiple-covariate distance sampling for monitoring pampas deer in Corrientes, Argentina
Zamboni, Talía Madalí
Habitat Type
Line Transects
Ozotoceros Bezoarticus
Roads
Survey Effort
title_short How many are there? Multiple-covariate distance sampling for monitoring pampas deer in Corrientes, Argentina
title_full How many are there? Multiple-covariate distance sampling for monitoring pampas deer in Corrientes, Argentina
title_fullStr How many are there? Multiple-covariate distance sampling for monitoring pampas deer in Corrientes, Argentina
title_full_unstemmed How many are there? Multiple-covariate distance sampling for monitoring pampas deer in Corrientes, Argentina
title_sort How many are there? Multiple-covariate distance sampling for monitoring pampas deer in Corrientes, Argentina
dc.creator.none.fl_str_mv Zamboni, Talía Madalí
Delgado, Fanny Alicia
Jiménez-Pérez, Ignacio
de Angelo, Carlos Daniel
author Zamboni, Talía Madalí
author_facet Zamboni, Talía Madalí
Delgado, Fanny Alicia
Jiménez-Pérez, Ignacio
de Angelo, Carlos Daniel
author_role author
author2 Delgado, Fanny Alicia
Jiménez-Pérez, Ignacio
de Angelo, Carlos Daniel
author2_role author
author
author
dc.subject.none.fl_str_mv Habitat Type
Line Transects
Ozotoceros Bezoarticus
Roads
Survey Effort
topic Habitat Type
Line Transects
Ozotoceros Bezoarticus
Roads
Survey Effort
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Context The pampas deer (Ozotoceros bezoarticus) is an endangered species in Argentina. Scarce information exists about one of the four last populations that survive in Corrientes province, where direct counts estimated a population of <500 individuals. Aims To evaluate the status of the pampas deer population in Corrientes by applying a standardised methodology and to develop methodological recommendations for future deer monitoring. Methods We conducted six population censuses between 2007 and 2010, using line transects placed on roads throughout 1200km2 of grasslands in the Aguapey region, Corrientes, Argentina. From a moving vehicle, we counted every pampas deer group observed along transects. We used Distance 6.0 and its multiple-covariate distance sampling engine to estimate deer density, while exploring the potential effect of roads, habitat type, hour, season, observer experience and survey effort on deer occurrence and density estimation. Key results The occurrence of pampas deer was irrespective of transect location (minor or major road) but a greater number of animals was detected over transects in minor roads and in areas covered by grasslands with young pine plantations. We estimated a density of 1.17 individuals km-2 (s.e.≤0.52), and habitat type was the most important covariate for density estimation. We estimated a total population of 1495 deer (95% CI≤951-2351, CV≤23.27%) for the Aguapey region in Argentina. Conclusions Corrientes hosts one of the largest populations of pampas deer in Argentina, with ∼1000 individuals. The fact that we estimated a larger population than did previous studies could be explained either by actual population growth during the past 10 years, or by the use of more exhaustive and sophisticated sampling design and data analysis. Implications Population surveys using covariate distance sampling on ground line transects can provide more realistic population estimates than do other simpler methods. Our population estimates and methods can be used as a baseline for future monitoring of this population, as long as factors such as sampling effort, type of roads for locating transects, and habitat type are considered in future analysis.
Fil: Zamboni, Talía Madalí. Universidad Nacional de Córdoba; Argentina
Fil: Delgado, Fanny Alicia. The Conservation Land Trust Argentina; Argentina
Fil: Jiménez-Pérez, Ignacio. The Conservation Land Trust Argentina; Argentina
Fil: de Angelo, Carlos Daniel. 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 Context The pampas deer (Ozotoceros bezoarticus) is an endangered species in Argentina. Scarce information exists about one of the four last populations that survive in Corrientes province, where direct counts estimated a population of <500 individuals. Aims To evaluate the status of the pampas deer population in Corrientes by applying a standardised methodology and to develop methodological recommendations for future deer monitoring. Methods We conducted six population censuses between 2007 and 2010, using line transects placed on roads throughout 1200km2 of grasslands in the Aguapey region, Corrientes, Argentina. From a moving vehicle, we counted every pampas deer group observed along transects. We used Distance 6.0 and its multiple-covariate distance sampling engine to estimate deer density, while exploring the potential effect of roads, habitat type, hour, season, observer experience and survey effort on deer occurrence and density estimation. Key results The occurrence of pampas deer was irrespective of transect location (minor or major road) but a greater number of animals was detected over transects in minor roads and in areas covered by grasslands with young pine plantations. We estimated a density of 1.17 individuals km-2 (s.e.≤0.52), and habitat type was the most important covariate for density estimation. We estimated a total population of 1495 deer (95% CI≤951-2351, CV≤23.27%) for the Aguapey region in Argentina. Conclusions Corrientes hosts one of the largest populations of pampas deer in Argentina, with ∼1000 individuals. The fact that we estimated a larger population than did previous studies could be explained either by actual population growth during the past 10 years, or by the use of more exhaustive and sophisticated sampling design and data analysis. Implications Population surveys using covariate distance sampling on ground line transects can provide more realistic population estimates than do other simpler methods. Our population estimates and methods can be used as a baseline for future monitoring of this population, as long as factors such as sampling effort, type of roads for locating transects, and habitat type are considered in future analysis.
publishDate 2015
dc.date.none.fl_str_mv 2015-05
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/11336/77490
Zamboni, Talía Madalí; Delgado, Fanny Alicia; Jiménez-Pérez, Ignacio; de Angelo, Carlos Daniel; How many are there? Multiple-covariate distance sampling for monitoring pampas deer in Corrientes, Argentina; Csiro Publishing; Wildlife Research; 42; 4; 5-2015; 291-301
1035-3712
CONICET Digital
CONICET
url http://hdl.handle.net/11336/77490
identifier_str_mv Zamboni, Talía Madalí; Delgado, Fanny Alicia; Jiménez-Pérez, Ignacio; de Angelo, Carlos Daniel; How many are there? Multiple-covariate distance sampling for monitoring pampas deer in Corrientes, Argentina; Csiro Publishing; Wildlife Research; 42; 4; 5-2015; 291-301
1035-3712
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.publish.csiro.au/wr/WR14222
info:eu-repo/semantics/altIdentifier/doi/10.1071/WR14222
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
dc.publisher.none.fl_str_mv Csiro Publishing
publisher.none.fl_str_mv Csiro Publishing
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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