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dc.contributor.author
Panebianco, Antonella  
dc.contributor.author
Schroeder, Natalia  
dc.contributor.author
Milagros, Antún  
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Flores, Celina Eliana  
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Pedrana, Julieta  
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Peña, Fiama Evelin  
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Carmanchahi, Pablo Daniel  
dc.contributor.other
Mandujano,Salvador  
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Naranjo, Eduardo J.  
dc.contributor.other
Andrade Ponce, Gabriel P.  
dc.date.available
2024-12-10T09:59:26Z  
dc.date.issued
2023  
dc.identifier.citation
Panebianco, Antonella; Schroeder, Natalia; Milagros, Antún; Flores, Celina Eliana; Pedrana, Julieta; et al.; Modelling the abundance and spatial distribution of the guanaco (Lama guanicoe) in Patagonia: a review and future perspectives; Springer; 2023; 95-126  
dc.identifier.isbn
978-3-031-39565-9  
dc.identifier.uri
http://hdl.handle.net/11336/249986  
dc.description.abstract
Understanding the factors that influence the abundance and spatial distributionof wild species has been of primary interest to researchers worldwide. Thisinformation has been generally considered to assess the status of populations andtheir habitat requirements and to make management recommendations related to their conservation and use. In South America, a species of particular interest is theguanaco (Lama guanicoe), given its adaptations and flexibility to occupy a widevariety of environments, its ecological role in the ecosystem, and its economic valuein some regions. The guanaco has suffered a severe decline in numbers and areduction in its geographic range since the 1800s due to legal and illegal huntingand the introduction of livestock (especially sheep). Currently, it occupies around26% of its original range, and 81–86% of its global population remains in Argentina,with abundant numbers in Austral Patagonia. In this chapter, we review the differentmodeling tools that have been used to assess the status of guanaco populationsthroughout Patagonia, highlighting their advances, advantages, and limitations. Weuse study cases in different environmental conditions (e.g., spatial and temporalscales) to evaluate how local and regional contexts have impacted the abundance andspatial distribution of guanaco populations and to identify possible threats throughouttheir distributional range. Finally, we present some advances in innovativetechnologies that will improve detection during population surveys, which, in turn,will allow modeling with more accurate estimations.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Springer  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Lama guanicoe  
dc.subject
Spatial models  
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Patagonia  
dc.subject
Population distribution  
dc.subject.classification
Ecología  
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Ciencias Biológicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Modelling the abundance and spatial distribution of the guanaco (Lama guanicoe) in Patagonia: a review and future perspectives  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.type
info:eu-repo/semantics/bookPart  
dc.type
info:ar-repo/semantics/parte de libro  
dc.date.updated
2024-03-12T10:29:20Z  
dc.journal.pagination
95-126  
dc.journal.pais
Suiza  
dc.journal.ciudad
Cham  
dc.description.fil
Fil: Panebianco, Antonella. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina  
dc.description.fil
Fil: Schroeder, Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Provincia de Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Universidad Nacional de Cuyo. Instituto Argentino de Investigaciones de las Zonas Áridas; Argentina. South American Camelid Specialist Group; Argentina  
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Fil: Milagros, Antún. Wildlife Conservation Society; Estados Unidos  
dc.description.fil
Fil: Flores, Celina Eliana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina  
dc.description.fil
Fil: Pedrana, Julieta. Universidad Tecnológica Nacional. Centro de Estudios Mar del Plata; Argentina  
dc.description.fil
Fil: Peña, Fiama Evelin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Provincia de Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Universidad Nacional de Cuyo. Instituto Argentino de Investigaciones de las Zonas Áridas; Argentina  
dc.description.fil
Fil: Carmanchahi, Pablo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/chapter/10.1007/978-3-031-39566-6_5  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/978-3-031-39566-6_5  
dc.conicet.paginas
355  
dc.source.titulo
Neotropical mammals: Hierarchical analyses of abundance and occupancy