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dc.contributor.author
Panebianco, Antonella
dc.contributor.author
Schroeder, Natalia
dc.contributor.author
Milagros, Antún
dc.contributor.author
Flores, Celina Eliana
dc.contributor.author
Pedrana, Julieta
dc.contributor.author
Peña, Fiama Evelin
dc.contributor.author
Carmanchahi, Pablo Daniel
dc.contributor.other
Mandujano,Salvador
dc.contributor.other
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
dc.subject
Patagonia
dc.subject
Population distribution
dc.subject.classification
Ecología
dc.subject.classification
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
dc.description.fil
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
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