Mostrar el registro sencillo del ítem

dc.contributor.author
Pedrana, Julieta  
dc.contributor.author
Travaini, Alejandro  
dc.contributor.author
Zanón Martínez, Juan Ignacio  
dc.contributor.author
Zapata, Sonia Cristina  
dc.contributor.author
Rodríguez, Alejandro  
dc.contributor.author
Bustamante, Javier  
dc.date.available
2022-11-22T11:06:56Z  
dc.date.issued
2019-01  
dc.identifier.citation
Pedrana, Julieta; Travaini, Alejandro; Zanón Martínez, Juan Ignacio; Zapata, Sonia Cristina; Rodríguez, Alejandro; et al.; Environmental factors influencing guanaco distribution and abundance in central Patagonia, Argentina; Csiro Publishing; Wildlife Research; 46; 1; 1-2019; 1-11  
dc.identifier.issn
1035-3712  
dc.identifier.uri
http://hdl.handle.net/11336/178455  
dc.description.abstract
Context: The guanaco is the largest wild herbivore inhabiting the Patagonian steppes. Since the end of the 19th Century, it has suffered a progressive decline in numbers owing to poaching and unregulated hunting because of on an assumed competition with sheep. Unfortunately, there has never been a management program for guanaco populations in Argentine Patagonia. Consequently, the guanaco is still considered a pest species by ranchers and has never been considered profitable in the range management model implemented in Patagonia. Aims: The present article updates the distribution limits of guanaco and estimate its abundance across Chubut, a large province of Patagonia, Argentina. The relative effects of several environmental and anthropogenic factors on guanaco distribution are also assessed. Methods: Road surveys (7010 km) and species distribution modelling were used to build a habitat suitability model and a distribution map. A distance sampling method was used to estimate guanaco population densities and size. The survey effort required to monitor population trends in this region was also calculated. Key results: According to the best habitat suitability model, guanaco distribution decreased with altitude and primary productivity, as measured by Normalised Difference Vegetation Index (NDVI), and increased with the distance to the nearest urban centre and oil field. Guanaco distribution showed a clear geographical pattern in Chubut, with low to medium occurrence probability towards the west and higher values towards the east. Guanaco population size was estimated as 657 304 individuals (95% CI 457 437 to 944 059), with a mean density of 2.97 guanacos km -2 . Finally, through simulations of guanaco monitoring, it was estimated that an annual survey effort of 10 to thirty 30-km road transects is needed to detect with confidence a significant population decrease or increase over the next 6 or 10 years. Conclusions: The habitat suitability map presented herein highlights areas with high guanaco densities in Chubut, where it would be possible to identify ranches suitable for performing profitable herding and shearing experiences. Implications: The maps of guanaco distribution and density, as well as the survey effort required to monitor population trends, may be used to inform decisions concerning the sustainable use of this species.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Csiro Publishing  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
HABITAT MODELS  
dc.subject
LAMA GUANICOE  
dc.subject
MONITORING  
dc.subject
POPULATION DENSITY  
dc.subject
PREDICTIVE CARTOGRAPHY  
dc.subject.classification
Ecología  
dc.subject.classification
Ciencias Biológicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Environmental factors influencing guanaco distribution and abundance in central Patagonia, Argentina  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2022-11-21T21:00:57Z  
dc.journal.volume
46  
dc.journal.number
1  
dc.journal.pagination
1-11  
dc.journal.pais
Australia  
dc.description.fil
Fil: Pedrana, Julieta. Universidad Nacional de la Patagonia Austral. Unidad Académica Caleta Olivia. Centro de Investigaciones Puerto Deseado; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina  
dc.description.fil
Fil: Travaini, Alejandro. Universidad Nacional de la Patagonia Austral. Unidad Académica Caleta Olivia. Centro de Investigaciones Puerto Deseado; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Zanón Martínez, Juan Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; Argentina  
dc.description.fil
Fil: Zapata, Sonia Cristina. Universidad Nacional de la Patagonia Austral. Unidad Académica Caleta Olivia. Centro de Investigaciones Puerto Deseado; Argentina  
dc.description.fil
Fil: Rodríguez, Alejandro. Consejo Superior de Investigaciones Científicas; España  
dc.description.fil
Fil: Bustamante, Javier. Consejo Superior de Investigaciones Científicas. Estación Biológica de Doñana; España  
dc.journal.title
Wildlife Research  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.publish.csiro.au/WR/WR18085  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1071/WR18085