Modeling the spatial structure of the endemic mara ( Dolichotis patagonum ) across modified landscapes

Autores
Antun, Maria de Los Milagros; Baldi, Ricardo
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Across modified landscapes, anthropic factors can affect habitat selection by animalsand consequently their abundance and distribution patterns. The study of thespatial structure of wild populations is crucial to gain knowledge on species? responseto habitat quality, and a key for the design and implementation of conservationactions. This is particularly important for a low-density and widely distributedspecies such as the mara (Dolichotis patagonum), a large rodent endemic toArgentina across the Monte and Patagonian drylands where extensive sheepranching predominates. We aimed to assess the spatial variation in the abundance ofmaras and to identify the natural and anthropic factors influencing the observedpatterns in Península Valdés, a representative landscape of Patagonia. We conductedground surveys during the austral autumn from 2015 to 2017. We built densitysurface models to account for the variation in mara abundance, and obtained a mapof mara density at a resolution of four km2. We estimated an overall density of0.93 maras.km-2for the prediction area of 3,476 km2. The location of ranchbuildings, indicators of human presence, had a strong positive effect on theabundance of maras, while the significant contribution of the geographic longitudesuggested that mara density increases with higher rainfall. Although humanpresence favored mara abundance, presumably by providing protection againstpredators, it is likely that the association could bring negative consequences for marasand other species. The use of spatial models allowed us to provide thefirstestimate of mara abundance at a landscape scale and its spatial variation at ahigh resolution. Our approach can contribute to the assessment of mara populationabundance and the factors shaping its spatial structure elsewhere across the speciesrange, all crucial attributes to identify and prioritize conservation actions
Fil: Antun, Maria de Los Milagros. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico para el Estudio de los Ecosistemas Continentales; Argentina
Fil: Baldi, Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico para el Estudio de los Ecosistemas Continentales; Argentina
Materia
DISTRIBUTION AND ABUNDANCE
DOLICHOTIS PATAGONUM
NATURAL AND ANTHROPIC FACTORS
SPATIAL MODELS
PATAGONIA
PENINSULA VALDES
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/105920

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spelling Modeling the spatial structure of the endemic mara ( Dolichotis patagonum ) across modified landscapesAntun, Maria de Los MilagrosBaldi, RicardoDISTRIBUTION AND ABUNDANCEDOLICHOTIS PATAGONUMNATURAL AND ANTHROPIC FACTORSSPATIAL MODELSPATAGONIAPENINSULA VALDEShttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Across modified landscapes, anthropic factors can affect habitat selection by animalsand consequently their abundance and distribution patterns. The study of thespatial structure of wild populations is crucial to gain knowledge on species? responseto habitat quality, and a key for the design and implementation of conservationactions. This is particularly important for a low-density and widely distributedspecies such as the mara (Dolichotis patagonum), a large rodent endemic toArgentina across the Monte and Patagonian drylands where extensive sheepranching predominates. We aimed to assess the spatial variation in the abundance ofmaras and to identify the natural and anthropic factors influencing the observedpatterns in Península Valdés, a representative landscape of Patagonia. We conductedground surveys during the austral autumn from 2015 to 2017. We built densitysurface models to account for the variation in mara abundance, and obtained a mapof mara density at a resolution of four km2. We estimated an overall density of0.93 maras.km-2for the prediction area of 3,476 km2. The location of ranchbuildings, indicators of human presence, had a strong positive effect on theabundance of maras, while the significant contribution of the geographic longitudesuggested that mara density increases with higher rainfall. Although humanpresence favored mara abundance, presumably by providing protection againstpredators, it is likely that the association could bring negative consequences for marasand other species. The use of spatial models allowed us to provide thefirstestimate of mara abundance at a landscape scale and its spatial variation at ahigh resolution. Our approach can contribute to the assessment of mara populationabundance and the factors shaping its spatial structure elsewhere across the speciesrange, all crucial attributes to identify and prioritize conservation actionsFil: Antun, Maria de Los Milagros. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico para el Estudio de los Ecosistemas Continentales; ArgentinaFil: Baldi, Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico para el Estudio de los Ecosistemas Continentales; ArgentinaPeerJ2019-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/105920Antun, Maria de Los Milagros; Baldi, Ricardo; Modeling the spatial structure of the endemic mara ( Dolichotis patagonum ) across modified landscapes; PeerJ; PeerJ; 7; 2-2019; 1-182167-8359CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://peerj.com/articles/6367info:eu-repo/semantics/altIdentifier/doi/10.7717/peerj.6367info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:08:54Zoai:ri.conicet.gov.ar:11336/105920instacron: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:34982025-09-10 13:08:54.379CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Modeling the spatial structure of the endemic mara ( Dolichotis patagonum ) across modified landscapes
title Modeling the spatial structure of the endemic mara ( Dolichotis patagonum ) across modified landscapes
spellingShingle Modeling the spatial structure of the endemic mara ( Dolichotis patagonum ) across modified landscapes
Antun, Maria de Los Milagros
DISTRIBUTION AND ABUNDANCE
DOLICHOTIS PATAGONUM
NATURAL AND ANTHROPIC FACTORS
SPATIAL MODELS
PATAGONIA
PENINSULA VALDES
title_short Modeling the spatial structure of the endemic mara ( Dolichotis patagonum ) across modified landscapes
title_full Modeling the spatial structure of the endemic mara ( Dolichotis patagonum ) across modified landscapes
title_fullStr Modeling the spatial structure of the endemic mara ( Dolichotis patagonum ) across modified landscapes
title_full_unstemmed Modeling the spatial structure of the endemic mara ( Dolichotis patagonum ) across modified landscapes
title_sort Modeling the spatial structure of the endemic mara ( Dolichotis patagonum ) across modified landscapes
dc.creator.none.fl_str_mv Antun, Maria de Los Milagros
Baldi, Ricardo
author Antun, Maria de Los Milagros
author_facet Antun, Maria de Los Milagros
Baldi, Ricardo
author_role author
author2 Baldi, Ricardo
author2_role author
dc.subject.none.fl_str_mv DISTRIBUTION AND ABUNDANCE
DOLICHOTIS PATAGONUM
NATURAL AND ANTHROPIC FACTORS
SPATIAL MODELS
PATAGONIA
PENINSULA VALDES
topic DISTRIBUTION AND ABUNDANCE
DOLICHOTIS PATAGONUM
NATURAL AND ANTHROPIC FACTORS
SPATIAL MODELS
PATAGONIA
PENINSULA VALDES
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Across modified landscapes, anthropic factors can affect habitat selection by animalsand consequently their abundance and distribution patterns. The study of thespatial structure of wild populations is crucial to gain knowledge on species? responseto habitat quality, and a key for the design and implementation of conservationactions. This is particularly important for a low-density and widely distributedspecies such as the mara (Dolichotis patagonum), a large rodent endemic toArgentina across the Monte and Patagonian drylands where extensive sheepranching predominates. We aimed to assess the spatial variation in the abundance ofmaras and to identify the natural and anthropic factors influencing the observedpatterns in Península Valdés, a representative landscape of Patagonia. We conductedground surveys during the austral autumn from 2015 to 2017. We built densitysurface models to account for the variation in mara abundance, and obtained a mapof mara density at a resolution of four km2. We estimated an overall density of0.93 maras.km-2for the prediction area of 3,476 km2. The location of ranchbuildings, indicators of human presence, had a strong positive effect on theabundance of maras, while the significant contribution of the geographic longitudesuggested that mara density increases with higher rainfall. Although humanpresence favored mara abundance, presumably by providing protection againstpredators, it is likely that the association could bring negative consequences for marasand other species. The use of spatial models allowed us to provide thefirstestimate of mara abundance at a landscape scale and its spatial variation at ahigh resolution. Our approach can contribute to the assessment of mara populationabundance and the factors shaping its spatial structure elsewhere across the speciesrange, all crucial attributes to identify and prioritize conservation actions
Fil: Antun, Maria de Los Milagros. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico para el Estudio de los Ecosistemas Continentales; Argentina
Fil: Baldi, Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico para el Estudio de los Ecosistemas Continentales; Argentina
description Across modified landscapes, anthropic factors can affect habitat selection by animalsand consequently their abundance and distribution patterns. The study of thespatial structure of wild populations is crucial to gain knowledge on species? responseto habitat quality, and a key for the design and implementation of conservationactions. This is particularly important for a low-density and widely distributedspecies such as the mara (Dolichotis patagonum), a large rodent endemic toArgentina across the Monte and Patagonian drylands where extensive sheepranching predominates. We aimed to assess the spatial variation in the abundance ofmaras and to identify the natural and anthropic factors influencing the observedpatterns in Península Valdés, a representative landscape of Patagonia. We conductedground surveys during the austral autumn from 2015 to 2017. We built densitysurface models to account for the variation in mara abundance, and obtained a mapof mara density at a resolution of four km2. We estimated an overall density of0.93 maras.km-2for the prediction area of 3,476 km2. The location of ranchbuildings, indicators of human presence, had a strong positive effect on theabundance of maras, while the significant contribution of the geographic longitudesuggested that mara density increases with higher rainfall. Although humanpresence favored mara abundance, presumably by providing protection againstpredators, it is likely that the association could bring negative consequences for marasand other species. The use of spatial models allowed us to provide thefirstestimate of mara abundance at a landscape scale and its spatial variation at ahigh resolution. Our approach can contribute to the assessment of mara populationabundance and the factors shaping its spatial structure elsewhere across the speciesrange, all crucial attributes to identify and prioritize conservation actions
publishDate 2019
dc.date.none.fl_str_mv 2019-02
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/11336/105920
Antun, Maria de Los Milagros; Baldi, Ricardo; Modeling the spatial structure of the endemic mara ( Dolichotis patagonum ) across modified landscapes; PeerJ; PeerJ; 7; 2-2019; 1-18
2167-8359
CONICET Digital
CONICET
url http://hdl.handle.net/11336/105920
identifier_str_mv Antun, Maria de Los Milagros; Baldi, Ricardo; Modeling the spatial structure of the endemic mara ( Dolichotis patagonum ) across modified landscapes; PeerJ; PeerJ; 7; 2-2019; 1-18
2167-8359
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://peerj.com/articles/6367
info:eu-repo/semantics/altIdentifier/doi/10.7717/peerj.6367
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv PeerJ
publisher.none.fl_str_mv PeerJ
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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