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Background: Guanacos (Lama guanicoe) are thought to have declined in Patagonia mainly as a result of hunting and sheep ranching. Currently accepted estimates of total population size are extrapolated from densities obtained through strip transects in local studies. We used road surveys (8,141 km) and distance sampling to estimate guanaco density and population size over major environmental gradients of Santa Cruz, a large region in southern Patagonia. We [ver mas...]
dc.contributor.authorTravaini, Alejandro
dc.contributor.authorZapata, Sonia Cristina
dc.contributor.authorBustamante, Javier
dc.contributor.authorPedrana, Julieta
dc.contributor.authorZanón Martínez, Juan Ignacio
dc.contributor.authorRodriguez, Alejandro
dc.date.accessioned2019-03-08T13:33:43Z
dc.date.available2019-03-08T13:33:43Z
dc.date.issued2015-12
dc.identifier.issn1810-522X
dc.identifier.otherhttps://doi.org/10.1186/s40555-014-0097-0
dc.identifier.urihttps://link.springer.com/article/10.1186/s40555-014-0097-0
dc.identifier.urihttp://hdl.handle.net/20.500.12123/4558
dc.description.abstractBackground: Guanacos (Lama guanicoe) are thought to have declined in Patagonia mainly as a result of hunting and sheep ranching. Currently accepted estimates of total population size are extrapolated from densities obtained through strip transects in local studies. We used road surveys (8,141 km) and distance sampling to estimate guanaco density and population size over major environmental gradients of Santa Cruz, a large region in southern Patagonia. We also calculated the survey effort required to detect population trends in Santa Cruz. Results: We found considerable spatial variation in density (1.1 to 7.4 ind/km2), with a mean value of 4.8 ind/km2, which is more than twice the mean value guessed for central and northern Patagonia. Consequently, guanaco numbers in Santa Cruz were estimated at 1.1 million individuals (95% CI 0.7 to 1.6), which almost doubles current estimates of guanaco population size in South America. High guanaco abundance was found in arid lands, overgrazed and unable to support profitable sheep stocks. Detecting a 50% change in guanaco population size over a 10-year period requires substantial monitoring effort: the annual survey of between 40 and 80 30-km transects, which becomes up to 120 transects if trends are to be detected over 5 years. Conclusions: Regional patterns in guanaco density can only be detected through large-scale surveys. Coupling these surveys with distance sampling techniques produce robust estimates of density and its variation. Figures so obtained improve currently available estimates of guanaco population size across its geographic range, which seem to be extrapolated from strip counts over small areas. In arid lands degraded by sheep overgrazing, sustainable use of guanaco populations would help harmonize guanaco conservation, socio-economic progress of rural areas, and eventually the restoration of shrub-steppes.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherSpringeres_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceZoological Studies 54 : 23 (December 2015)es_AR
dc.subjectGuanacoes_AR
dc.subjectGuanacoseng
dc.subjectPoblación Animales_AR
dc.subjectAnimal Populationeng
dc.subjectVigilanciaes_AR
dc.subjectMonitoringeng
dc.subjectSostenibilidades_AR
dc.subjectSustainabilityeng
dc.subjectMuestreoes_AR
dc.subjectSamplingeng
dc.subject.otherRegión Patagónicaes_AR
dc.titleGuanaco abundance and monitoring in Southern Patagonia: distance sampling reveals substantially greater numbers than previously reportedes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.description.origenEEA Balcarcees_AR
dc.description.filFil: 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; Argentinaes_AR
dc.description.filFil: Zapata, Sonia Cristina. Universidad Nacional de la Patagonia Austral. Unidad Académica Caleta Olivia. Centro de Investigaciones Puerto Deseado; Argentinaes_AR
dc.description.filFil: Bustamante, Javier. Consejo Superior de Investigaciones Científicas (CSIC). Estación Biológica de Doñana. Department of Wetland EcologyRemote Sensing and GIS Lab; Españaes_AR
dc.description.filFil: Pedrana, Julieta. Universidad Nacional de la Patagonia Austral. Unidad Académica Caleta Olivia. Centro de Investigaciones Puerto Deseado; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentinaes_AR
dc.description.filFil: Zanón Martínez, Juan Ignacio. Universidad Nacional de la Patagonia Austral. Unidad Académica Caleta Olivia. Centro de Investigaciones Puerto Deseado; Argentina. 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. Centro para el Estudio y Conservación de las Aves Rapaces en Argentina; Argentinaes_AR
dc.description.filFil: Rodriguez, Alejandro. Consejo Superior de Investigaciones Científicas (CSIC). Estación Biológica de Doñana. Department of Conservation Biology; Españaes_AR
dc.subtypecientifico


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