Mostrar el registro sencillo del ítem

dc.contributor.author
Zubillaga, María  
dc.contributor.author
Skewes, Oscar  
dc.contributor.author
Soto, Nicolás  
dc.contributor.author
Rabinovich, Jorge Eduardo  
dc.date.available
2019-10-21T18:23:41Z  
dc.date.issued
2018-10  
dc.identifier.citation
Zubillaga, María; Skewes, Oscar; Soto, Nicolás; Rabinovich, Jorge Eduardo; How density-dependence and climate affect guanaco population dynamics; Elsevier Science; Ecological Modelling; 385; 10-2018; 189-196  
dc.identifier.issn
0304-3800  
dc.identifier.uri
http://hdl.handle.net/11336/86679  
dc.description.abstract
The guanaco (Lama guanicoe) is one of the two South American native wild camelid species, and despite its important ecological role and economic value conservationists are in a permanent conflict with sheep ranchers. Currently, management programs are being developed in Argentina and Chile to guarantee guanaco and grassland conservation. We developed a non-linear simulation, three stages-structured matrix model of guanaco population dynamics, with climatic and density-dependence effects, that can be used as a tool to devise optimal management interventions. We estimated population parameters using a 41-year time-series data from a guanaco population in Tierra del Fuego (Chile). We conducted a multivariate multiple regression analysis between matrix demographic parameters (survival at each stage and fertility) as dependent variables, and climatic variables and population density as independent variables. Guanaco density was significantly correlated with female newborn and adult annual survival while annual precipitation correlated significantly with the fertility (females born per female per year), in contrast to population regulation mechanisms commonly seen in other ungulate species. This guanaco model allows the evaluation of the effects of different events (e.g. offtake, particular dry or wet years, poaching) on specific sexes and life stages which is the field information commonly available.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Science  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
DEMOGRAPHIC PARAMETERS  
dc.subject
GUANACO  
dc.subject
MULTIVARIATE MULTIPLE REGRESSION  
dc.subject
POPULATION REGULATION  
dc.subject
SOUTH AMERICAN CAMELIDS  
dc.subject
UNGULATES  
dc.subject.classification
Ecología  
dc.subject.classification
Ciencias Biológicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
How density-dependence and climate affect guanaco population dynamics  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2019-10-17T14:02:29Z  
dc.journal.volume
385  
dc.journal.pagination
189-196  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Zubillaga, María. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentina  
dc.description.fil
Fil: Skewes, Oscar. Universidad de Concepción; Chile  
dc.description.fil
Fil: Soto, Nicolás. Departamento de Protección de Recursos Naturales Servicio Agrícola Ganadero (SAG); Chile  
dc.description.fil
Fil: Rabinovich, Jorge Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Estudios Parasitológicos y de Vectores. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Centro de Estudios Parasitológicos y de Vectores; Argentina  
dc.journal.title
Ecological Modelling  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.ecolmodel.2018.07.010  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S030438001830245X