Bioclimatic constraints to Andean cat distribution: A modelling application for rare species

Autores
Marino, Jorgelina; Bennett, Magdalena; Cossios, Daniel; Iriarte, Agustin; Lucherini, Mauro; Pliscoff, Patricio; Sillero Zubiri, Claudio; Villalba, Lilian; Walker, Susan
Año de publicación
2011
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Aim To identify the bioclimatic niche of the endangered Andean cat (Leopardus jacobita), one of the rarest and least known felids in the world, by developing a species distribution model. Location South America, High Andes and Patagonian steppe. Peru, Bolivia, Chile, Argentina. Methods We used 108 Andean cat records to build the models, and 27 to test them, applying the Maxent algorithm to sets of uncorrelated bioclimatic variables from global databases, including elevation. We based our biogeographical interpretations on the examination of the predicted geographic range, the modelled response curves and latitudinal variations in climatic variables associated with the locality data. Results Simple bioclimatic models for Andean cats were highly predictive with only 3-4 explanatory variables. The climatic niche of the species was defined by extreme diurnal variations in temperature, cold minimum and moderate maximum temperatures, and aridity, characteristic not only of the Andean highlands but also of the Patagonian steppe. Argentina had the highest representation of suitable climates, and Chile the lowest. The most favourable conditions were centrally located and spanned across international boundaries. Discontinuities in suitable climatic conditions coincided with three biogeographical barriers associated with climatic or topographic transitions. Main conclusions Simple bioclimatic models can produce useful predictions of suitable climatic conditions for rare species, including major biogeographical constraints. In our study case, these constraints are also known to affect the distribution of other Andean species and the genetic structure of Andean cat populations. We recommend surveys of areas with suitable climates and no Andean cat records, including the corridor connecting two core populations. The inclusion of landscape variables at finer scales, crucially the distribution of Andean cat prey, would contribute to refine our predictions for conservation applications. © 2011 Blackwell Publishing Ltd.
Fil: Marino, Jorgelina. University of Oxford; Reino Unido
Fil: Bennett, Magdalena. University of Oxford; Reino Unido
Fil: Cossios, Daniel. University of Montreal; Canadá
Fil: Iriarte, Agustin. Pontificia Universidad Católica de Chile; Chile
Fil: Lucherini, Mauro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Biología, Bioquímica y Farmacia. Cátedra de Fisiología Animal; Argentina
Fil: Pliscoff, Patricio. Universite de Lausanne; Suiza
Fil: Sillero Zubiri, Claudio. University of Oxford; Reino Unido
Fil: Villalba, Lilian. Colección Boliviana de Fauna; Bolivia
Fil: Walker, Susan. Wildlife Conservation Society; Estados Unidos
Materia
Andes
Biogeographical Barriers
Biogeography
Climatic Niche
Species Distribution Models
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:11336/66931
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/66931
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Bioclimatic constraints to Andean cat distribution: A modelling application for rare speciesMarino, JorgelinaBennett, MagdalenaCossios, DanielIriarte, AgustinLucherini, MauroPliscoff, PatricioSillero Zubiri, ClaudioVillalba, LilianWalker, SusanAndesBiogeographical BarriersBiogeographyClimatic NicheSpecies Distribution Modelshttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Aim To identify the bioclimatic niche of the endangered Andean cat (Leopardus jacobita), one of the rarest and least known felids in the world, by developing a species distribution model. Location South America, High Andes and Patagonian steppe. Peru, Bolivia, Chile, Argentina. Methods We used 108 Andean cat records to build the models, and 27 to test them, applying the Maxent algorithm to sets of uncorrelated bioclimatic variables from global databases, including elevation. We based our biogeographical interpretations on the examination of the predicted geographic range, the modelled response curves and latitudinal variations in climatic variables associated with the locality data. Results Simple bioclimatic models for Andean cats were highly predictive with only 3-4 explanatory variables. The climatic niche of the species was defined by extreme diurnal variations in temperature, cold minimum and moderate maximum temperatures, and aridity, characteristic not only of the Andean highlands but also of the Patagonian steppe. Argentina had the highest representation of suitable climates, and Chile the lowest. The most favourable conditions were centrally located and spanned across international boundaries. Discontinuities in suitable climatic conditions coincided with three biogeographical barriers associated with climatic or topographic transitions. Main conclusions Simple bioclimatic models can produce useful predictions of suitable climatic conditions for rare species, including major biogeographical constraints. In our study case, these constraints are also known to affect the distribution of other Andean species and the genetic structure of Andean cat populations. We recommend surveys of areas with suitable climates and no Andean cat records, including the corridor connecting two core populations. The inclusion of landscape variables at finer scales, crucially the distribution of Andean cat prey, would contribute to refine our predictions for conservation applications. © 2011 Blackwell Publishing Ltd.Fil: Marino, Jorgelina. University of Oxford; Reino UnidoFil: Bennett, Magdalena. University of Oxford; Reino UnidoFil: Cossios, Daniel. University of Montreal; CanadáFil: Iriarte, Agustin. Pontificia Universidad Católica de Chile; ChileFil: Lucherini, Mauro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Biología, Bioquímica y Farmacia. Cátedra de Fisiología Animal; ArgentinaFil: Pliscoff, Patricio. Universite de Lausanne; SuizaFil: Sillero Zubiri, Claudio. University of Oxford; Reino UnidoFil: Villalba, Lilian. Colección Boliviana de Fauna; BoliviaFil: Walker, Susan. Wildlife Conservation Society; Estados UnidosWiley Blackwell Publishing, Inc2011-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/66931Marino, Jorgelina; Bennett, Magdalena; Cossios, Daniel; Iriarte, Agustin; Lucherini, Mauro; et al.; Bioclimatic constraints to Andean cat distribution: A modelling application for rare species; Wiley Blackwell Publishing, Inc; Diversity and Distributions; 17; 2; 3-2011; 311-3221366-9516CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1111/j.1472-4642.2011.00744.xinfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1472-4642.2011.00744.xinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:51:41Zoai:ri.conicet.gov.ar:11336/66931instacron: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:34982025-09-29 09:51:41.347CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Bioclimatic constraints to Andean cat distribution: A modelling application for rare species
title Bioclimatic constraints to Andean cat distribution: A modelling application for rare species
spellingShingle Bioclimatic constraints to Andean cat distribution: A modelling application for rare species
Marino, Jorgelina
Andes
Biogeographical Barriers
Biogeography
Climatic Niche
Species Distribution Models
title_short Bioclimatic constraints to Andean cat distribution: A modelling application for rare species
title_full Bioclimatic constraints to Andean cat distribution: A modelling application for rare species
title_fullStr Bioclimatic constraints to Andean cat distribution: A modelling application for rare species
title_full_unstemmed Bioclimatic constraints to Andean cat distribution: A modelling application for rare species
title_sort Bioclimatic constraints to Andean cat distribution: A modelling application for rare species
dc.creator.none.fl_str_mv Marino, Jorgelina
Bennett, Magdalena
Cossios, Daniel
Iriarte, Agustin
Lucherini, Mauro
Pliscoff, Patricio
Sillero Zubiri, Claudio
Villalba, Lilian
Walker, Susan
author Marino, Jorgelina
author_facet Marino, Jorgelina
Bennett, Magdalena
Cossios, Daniel
Iriarte, Agustin
Lucherini, Mauro
Pliscoff, Patricio
Sillero Zubiri, Claudio
Villalba, Lilian
Walker, Susan
author_role author
author2 Bennett, Magdalena
Cossios, Daniel
Iriarte, Agustin
Lucherini, Mauro
Pliscoff, Patricio
Sillero Zubiri, Claudio
Villalba, Lilian
Walker, Susan
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Andes
Biogeographical Barriers
Biogeography
Climatic Niche
Species Distribution Models
topic Andes
Biogeographical Barriers
Biogeography
Climatic Niche
Species Distribution Models
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Aim To identify the bioclimatic niche of the endangered Andean cat (Leopardus jacobita), one of the rarest and least known felids in the world, by developing a species distribution model. Location South America, High Andes and Patagonian steppe. Peru, Bolivia, Chile, Argentina. Methods We used 108 Andean cat records to build the models, and 27 to test them, applying the Maxent algorithm to sets of uncorrelated bioclimatic variables from global databases, including elevation. We based our biogeographical interpretations on the examination of the predicted geographic range, the modelled response curves and latitudinal variations in climatic variables associated with the locality data. Results Simple bioclimatic models for Andean cats were highly predictive with only 3-4 explanatory variables. The climatic niche of the species was defined by extreme diurnal variations in temperature, cold minimum and moderate maximum temperatures, and aridity, characteristic not only of the Andean highlands but also of the Patagonian steppe. Argentina had the highest representation of suitable climates, and Chile the lowest. The most favourable conditions were centrally located and spanned across international boundaries. Discontinuities in suitable climatic conditions coincided with three biogeographical barriers associated with climatic or topographic transitions. Main conclusions Simple bioclimatic models can produce useful predictions of suitable climatic conditions for rare species, including major biogeographical constraints. In our study case, these constraints are also known to affect the distribution of other Andean species and the genetic structure of Andean cat populations. We recommend surveys of areas with suitable climates and no Andean cat records, including the corridor connecting two core populations. The inclusion of landscape variables at finer scales, crucially the distribution of Andean cat prey, would contribute to refine our predictions for conservation applications. © 2011 Blackwell Publishing Ltd.
Fil: Marino, Jorgelina. University of Oxford; Reino Unido
Fil: Bennett, Magdalena. University of Oxford; Reino Unido
Fil: Cossios, Daniel. University of Montreal; Canadá
Fil: Iriarte, Agustin. Pontificia Universidad Católica de Chile; Chile
Fil: Lucherini, Mauro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Biología, Bioquímica y Farmacia. Cátedra de Fisiología Animal; Argentina
Fil: Pliscoff, Patricio. Universite de Lausanne; Suiza
Fil: Sillero Zubiri, Claudio. University of Oxford; Reino Unido
Fil: Villalba, Lilian. Colección Boliviana de Fauna; Bolivia
Fil: Walker, Susan. Wildlife Conservation Society; Estados Unidos
description Aim To identify the bioclimatic niche of the endangered Andean cat (Leopardus jacobita), one of the rarest and least known felids in the world, by developing a species distribution model. Location South America, High Andes and Patagonian steppe. Peru, Bolivia, Chile, Argentina. Methods We used 108 Andean cat records to build the models, and 27 to test them, applying the Maxent algorithm to sets of uncorrelated bioclimatic variables from global databases, including elevation. We based our biogeographical interpretations on the examination of the predicted geographic range, the modelled response curves and latitudinal variations in climatic variables associated with the locality data. Results Simple bioclimatic models for Andean cats were highly predictive with only 3-4 explanatory variables. The climatic niche of the species was defined by extreme diurnal variations in temperature, cold minimum and moderate maximum temperatures, and aridity, characteristic not only of the Andean highlands but also of the Patagonian steppe. Argentina had the highest representation of suitable climates, and Chile the lowest. The most favourable conditions were centrally located and spanned across international boundaries. Discontinuities in suitable climatic conditions coincided with three biogeographical barriers associated with climatic or topographic transitions. Main conclusions Simple bioclimatic models can produce useful predictions of suitable climatic conditions for rare species, including major biogeographical constraints. In our study case, these constraints are also known to affect the distribution of other Andean species and the genetic structure of Andean cat populations. We recommend surveys of areas with suitable climates and no Andean cat records, including the corridor connecting two core populations. The inclusion of landscape variables at finer scales, crucially the distribution of Andean cat prey, would contribute to refine our predictions for conservation applications. © 2011 Blackwell Publishing Ltd.
publishDate 2011
dc.date.none.fl_str_mv 2011-03
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/11336/66931
Marino, Jorgelina; Bennett, Magdalena; Cossios, Daniel; Iriarte, Agustin; Lucherini, Mauro; et al.; Bioclimatic constraints to Andean cat distribution: A modelling application for rare species; Wiley Blackwell Publishing, Inc; Diversity and Distributions; 17; 2; 3-2011; 311-322
1366-9516
CONICET Digital
CONICET
url http://hdl.handle.net/11336/66931
identifier_str_mv Marino, Jorgelina; Bennett, Magdalena; Cossios, Daniel; Iriarte, Agustin; Lucherini, Mauro; et al.; Bioclimatic constraints to Andean cat distribution: A modelling application for rare species; Wiley Blackwell Publishing, Inc; Diversity and Distributions; 17; 2; 3-2011; 311-322
1366-9516
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1111/j.1472-4642.2011.00744.x
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1472-4642.2011.00744.x
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 Wiley Blackwell Publishing, Inc
publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
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 13.070432

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