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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/105920
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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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1842980429976567808 |
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12.993085 |