Translating Niche Features: Modeling Differential Exposure of Argentine Reptiles to Global Climate Change

Autores
Nori, Javier; Moreno Azócar, Débora Lina; Cruz, Felix Benjamin; Bonino, Marcelo Fabián; Leynaud, Gerardo Cristhian
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Global climate change affects the distributions of ectotherms and may be the cause of several conservation problems, such as great displacement of climatic suitable spaces for species and, consequently, important reductions of the Extent of liveable places, threatening the existence of many of them. Species exposure (and hence vulnerability) to global climate change is linked to features of their climatic niches (such as the relative position of the inhabited localities of each species in the climatic space), and therefore to characteristics of their geographic ranges (such as the extent of the distributions or altitudinal range inhabited by the species). In order to analyze the pattern of response of Argentine reptiles to global climate change, we ran phylogenetic generalized least squares models using species exposure to global climate change as a response variable, and (i) niche properties (breadth and position of the species in the climate space) and (ii) general features of the distribution of species (maximum latitude, altitudinal range, maximum elevation, distributional range and proximity to the most important dispersalbarrier) as predictors. Our results suggest that the best way to explain climate change exposure is by combining breadth and position of climatic niche of the species or combining geographic features that are indicators of both niche characteristics. Our best model shows that in our study area, species with the narrowest distributional ranges that also inhabit the highest elevations are the most exposed to the effects of global climate change. In this sense, reptile species from Yungas, Puna and Andes ecoregions could be especially vulnerable to the effects of climate change.We believe that these types of models may epresent an interesting tool for determining species and places particularly threatened by the effects of global climate change, which should be strongly considered in conservation planning.
Fil: Nori, Javier. Universidad Nacional de Cordoba. Facultad de Cs.exactas Fisicas y Naturales. Centro de Zoologia Aplicada; Argentina
Fil: Moreno Azócar, Débora Lina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Patagonia Norte. Instituto de Investigación En Biodiversidad y Medioambiente; Argentina
Fil: Cruz, Felix Benjamin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Patagonia Norte. Instituto de Investigación En Biodiversidad y Medioambiente; Argentina
Fil: Bonino, Marcelo Fabián. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Patagonia Norte. Instituto de Investigación En Biodiversidad y Medioambiente; Argentina
Fil: Leynaud, Gerardo Cristhian. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Cordoba. Instituto de Diversidad y Ecologia Animal; Argentina. Universidad Nacional de Cordoba. Facultad de Cs.exactas Fisicas y Naturales. Centro de Zoologia Aplicada; Argentina
Materia
Climate Change
Climatic Niche
Phylogenetic Model
Distribution
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:11336/7994
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Translating Niche Features: Modeling Differential Exposure of Argentine Reptiles to Global Climate ChangeNori, JavierMoreno Azócar, Débora LinaCruz, Felix BenjaminBonino, Marcelo FabiánLeynaud, Gerardo CristhianClimate ChangeClimatic NichePhylogenetic ModelDistributionhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Global climate change affects the distributions of ectotherms and may be the cause of several conservation problems, such as great displacement of climatic suitable spaces for species and, consequently, important reductions of the Extent of liveable places, threatening the existence of many of them. Species exposure (and hence vulnerability) to global climate change is linked to features of their climatic niches (such as the relative position of the inhabited localities of each species in the climatic space), and therefore to characteristics of their geographic ranges (such as the extent of the distributions or altitudinal range inhabited by the species). In order to analyze the pattern of response of Argentine reptiles to global climate change, we ran phylogenetic generalized least squares models using species exposure to global climate change as a response variable, and (i) niche properties (breadth and position of the species in the climate space) and (ii) general features of the distribution of species (maximum latitude, altitudinal range, maximum elevation, distributional range and proximity to the most important dispersalbarrier) as predictors. Our results suggest that the best way to explain climate change exposure is by combining breadth and position of climatic niche of the species or combining geographic features that are indicators of both niche characteristics. Our best model shows that in our study area, species with the narrowest distributional ranges that also inhabit the highest elevations are the most exposed to the effects of global climate change. In this sense, reptile species from Yungas, Puna and Andes ecoregions could be especially vulnerable to the effects of climate change.We believe that these types of models may epresent an interesting tool for determining species and places particularly threatened by the effects of global climate change, which should be strongly considered in conservation planning.Fil: Nori, Javier. Universidad Nacional de Cordoba. Facultad de Cs.exactas Fisicas y Naturales. Centro de Zoologia Aplicada; ArgentinaFil: Moreno Azócar, Débora Lina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Patagonia Norte. Instituto de Investigación En Biodiversidad y Medioambiente; ArgentinaFil: Cruz, Felix Benjamin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Patagonia Norte. Instituto de Investigación En Biodiversidad y Medioambiente; ArgentinaFil: Bonino, Marcelo Fabián. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Patagonia Norte. Instituto de Investigación En Biodiversidad y Medioambiente; ArgentinaFil: Leynaud, Gerardo Cristhian. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Cordoba. Instituto de Diversidad y Ecologia Animal; Argentina. Universidad Nacional de Cordoba. Facultad de Cs.exactas Fisicas y Naturales. Centro de Zoologia Aplicada; ArgentinaWiley2015-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/7994Nori, Javier; Moreno Azócar, Débora Lina; Cruz, Felix Benjamin; Bonino, Marcelo Fabián; Leynaud, Gerardo Cristhian; Translating Niche Features: Modeling Differential Exposure of Argentine Reptiles to Global Climate Change; Wiley; Austral Ecology; 41; 4; 8-2015; 367-3751442-9985enginfo:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1111/aec.12321/abstractinfo:eu-repo/semantics/altIdentifier/doi/10.1111/aec.12321info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-11-12T09:56:56Zoai:ri.conicet.gov.ar:11336/7994instacron: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:34982025-11-12 09:56:56.525CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Translating Niche Features: Modeling Differential Exposure of Argentine Reptiles to Global Climate Change
title Translating Niche Features: Modeling Differential Exposure of Argentine Reptiles to Global Climate Change
spellingShingle Translating Niche Features: Modeling Differential Exposure of Argentine Reptiles to Global Climate Change
Nori, Javier
Climate Change
Climatic Niche
Phylogenetic Model
Distribution
title_short Translating Niche Features: Modeling Differential Exposure of Argentine Reptiles to Global Climate Change
title_full Translating Niche Features: Modeling Differential Exposure of Argentine Reptiles to Global Climate Change
title_fullStr Translating Niche Features: Modeling Differential Exposure of Argentine Reptiles to Global Climate Change
title_full_unstemmed Translating Niche Features: Modeling Differential Exposure of Argentine Reptiles to Global Climate Change
title_sort Translating Niche Features: Modeling Differential Exposure of Argentine Reptiles to Global Climate Change
dc.creator.none.fl_str_mv Nori, Javier
Moreno Azócar, Débora Lina
Cruz, Felix Benjamin
Bonino, Marcelo Fabián
Leynaud, Gerardo Cristhian
author Nori, Javier
author_facet Nori, Javier
Moreno Azócar, Débora Lina
Cruz, Felix Benjamin
Bonino, Marcelo Fabián
Leynaud, Gerardo Cristhian
author_role author
author2 Moreno Azócar, Débora Lina
Cruz, Felix Benjamin
Bonino, Marcelo Fabián
Leynaud, Gerardo Cristhian
author2_role author
author
author
author
dc.subject.none.fl_str_mv Climate Change
Climatic Niche
Phylogenetic Model
Distribution
topic Climate Change
Climatic Niche
Phylogenetic Model
Distribution
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Global climate change affects the distributions of ectotherms and may be the cause of several conservation problems, such as great displacement of climatic suitable spaces for species and, consequently, important reductions of the Extent of liveable places, threatening the existence of many of them. Species exposure (and hence vulnerability) to global climate change is linked to features of their climatic niches (such as the relative position of the inhabited localities of each species in the climatic space), and therefore to characteristics of their geographic ranges (such as the extent of the distributions or altitudinal range inhabited by the species). In order to analyze the pattern of response of Argentine reptiles to global climate change, we ran phylogenetic generalized least squares models using species exposure to global climate change as a response variable, and (i) niche properties (breadth and position of the species in the climate space) and (ii) general features of the distribution of species (maximum latitude, altitudinal range, maximum elevation, distributional range and proximity to the most important dispersalbarrier) as predictors. Our results suggest that the best way to explain climate change exposure is by combining breadth and position of climatic niche of the species or combining geographic features that are indicators of both niche characteristics. Our best model shows that in our study area, species with the narrowest distributional ranges that also inhabit the highest elevations are the most exposed to the effects of global climate change. In this sense, reptile species from Yungas, Puna and Andes ecoregions could be especially vulnerable to the effects of climate change.We believe that these types of models may epresent an interesting tool for determining species and places particularly threatened by the effects of global climate change, which should be strongly considered in conservation planning.
Fil: Nori, Javier. Universidad Nacional de Cordoba. Facultad de Cs.exactas Fisicas y Naturales. Centro de Zoologia Aplicada; Argentina
Fil: Moreno Azócar, Débora Lina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Patagonia Norte. Instituto de Investigación En Biodiversidad y Medioambiente; Argentina
Fil: Cruz, Felix Benjamin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Patagonia Norte. Instituto de Investigación En Biodiversidad y Medioambiente; Argentina
Fil: Bonino, Marcelo Fabián. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Patagonia Norte. Instituto de Investigación En Biodiversidad y Medioambiente; Argentina
Fil: Leynaud, Gerardo Cristhian. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Cordoba. Instituto de Diversidad y Ecologia Animal; Argentina. Universidad Nacional de Cordoba. Facultad de Cs.exactas Fisicas y Naturales. Centro de Zoologia Aplicada; Argentina
description Global climate change affects the distributions of ectotherms and may be the cause of several conservation problems, such as great displacement of climatic suitable spaces for species and, consequently, important reductions of the Extent of liveable places, threatening the existence of many of them. Species exposure (and hence vulnerability) to global climate change is linked to features of their climatic niches (such as the relative position of the inhabited localities of each species in the climatic space), and therefore to characteristics of their geographic ranges (such as the extent of the distributions or altitudinal range inhabited by the species). In order to analyze the pattern of response of Argentine reptiles to global climate change, we ran phylogenetic generalized least squares models using species exposure to global climate change as a response variable, and (i) niche properties (breadth and position of the species in the climate space) and (ii) general features of the distribution of species (maximum latitude, altitudinal range, maximum elevation, distributional range and proximity to the most important dispersalbarrier) as predictors. Our results suggest that the best way to explain climate change exposure is by combining breadth and position of climatic niche of the species or combining geographic features that are indicators of both niche characteristics. Our best model shows that in our study area, species with the narrowest distributional ranges that also inhabit the highest elevations are the most exposed to the effects of global climate change. In this sense, reptile species from Yungas, Puna and Andes ecoregions could be especially vulnerable to the effects of climate change.We believe that these types of models may epresent an interesting tool for determining species and places particularly threatened by the effects of global climate change, which should be strongly considered in conservation planning.
publishDate 2015
dc.date.none.fl_str_mv 2015-08
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/11336/7994
Nori, Javier; Moreno Azócar, Débora Lina; Cruz, Felix Benjamin; Bonino, Marcelo Fabián; Leynaud, Gerardo Cristhian; Translating Niche Features: Modeling Differential Exposure of Argentine Reptiles to Global Climate Change; Wiley; Austral Ecology; 41; 4; 8-2015; 367-375
1442-9985
url http://hdl.handle.net/11336/7994
identifier_str_mv Nori, Javier; Moreno Azócar, Débora Lina; Cruz, Felix Benjamin; Bonino, Marcelo Fabián; Leynaud, Gerardo Cristhian; Translating Niche Features: Modeling Differential Exposure of Argentine Reptiles to Global Climate Change; Wiley; Austral Ecology; 41; 4; 8-2015; 367-375
1442-9985
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1111/aec.12321/abstract
info:eu-repo/semantics/altIdentifier/doi/10.1111/aec.12321
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
publisher.none.fl_str_mv Wiley
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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