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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/77490
Ver los metadatos del registro completo
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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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1846083102079713280 |
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13.22299 |