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dc.contributor.author
Flores, Celina Eliana  
dc.contributor.author
Bellis, Laura Marisa  
dc.contributor.author
Schiavini, Adrian Carlos Miguel  
dc.date.available
2021-02-17T19:17:58Z  
dc.date.issued
2020-09  
dc.identifier.citation
Flores, Celina Eliana; Bellis, Laura Marisa; Schiavini, Adrian Carlos Miguel; Modelling the abundance and productivity distribution to understand the habitat-species relationship: The guanaco (Lama guanicoe) case study; Csiro Publishing; Wildlife Research; 47; 6; 9-2020; 448-459  
dc.identifier.issn
1035-3712  
dc.identifier.uri
http://hdl.handle.net/11336/125841  
dc.description.abstract
Context: The conservation of large wild herbivores presents a challenge posed by the fact that their broad habitat requirements overlap with various human activities. Elucidating the factors that explain their distribution patterns provides us with a better understanding of habitat-species relationships and facilitates the design of effective management policies. Aims: Identify the natural (forage availability, weather) and anthropogenic (hunting, interspecific competition) factors that explain the abundance and productivity distribution of the guanaco. Estimate guanaco abundance and productivity and describe their distribution. Methods: We estimated the abundance and productivity of guanaco by using aerial surveys during the breeding and non-breeding season of two consecutive years, following the strip-transect methodology; we then modelled these as a function of environmental factors by means of density surface models. Key results: The highest abundance and productivity of guanaco occurred mostly where mesic grassland was dominant. Guanaco abundance presented three hotspots on the basis of geographic location, and family groups were more productive at low to intermediate livestock level. Abundance was significantly higher in the breeding season for both years (5614 and 14 092 individuals) than in the non-breeding season (2922 and 6926 individuals), and it was higher in 2015 than in 2014. Productivity was higher in 2015 than in 2014 (0.54 and 0.46 calves per adult respectively). Conclusions: Guanaco responded to forage availability, occupying zones with low to intermediate food availability in the breeding season, and those with the highest availability in the non-breeding season. This could be due to interspecific competition between livestock and guanaco family groups. We propose that the overall guanaco response could also be explained by social structure or by unassessed factors such as predation risk by feral dogs. Implications: The guanaco could compensate for the use of habitats with a lower food availability during the breeding season by using better-quality habitats during the non-breeding season.  
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
DENSITY SURFACE MODELLING  
dc.subject
ENVIRONMENTAL HETEROGENEITY  
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 productivity distribution to understand the habitat-species relationship: The guanaco (Lama guanicoe) case study  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-12-04T14:44:30Z  
dc.journal.volume
47  
dc.journal.number
6  
dc.journal.pagination
448-459  
dc.journal.pais
Australia  
dc.journal.ciudad
Collingwood  
dc.description.fil
Fil: Flores, Celina Eliana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina  
dc.description.fil
Fil: Bellis, Laura Marisa. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Diversidad Biológica y Ecológica. Cátedra de Ecología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina  
dc.description.fil
Fil: Schiavini, Adrian Carlos Miguel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina. Universidad Nacional de Tierra del Fuego; Argentina  
dc.journal.title
Wildlife Research  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1071/WR19114  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.publish.csiro.au/wr/WR19114