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Abstract
The knowledge of environmental variables associated with the species occurrence allows the recognition of sites which fulfil ecological requirements eventually used for conservation of species. The coastal dunes of Argentina are inhabited by sand lizards. Anthropic activities have severely degraded this ecosystem, affecting the habitat structure at a large scale. In this context, the effects of landscape characteristics on the sand lizard's (Liolaemus [ver mas...]
dc.contributor.authorBlock, Carolina
dc.contributor.authorPedrana, Julieta
dc.contributor.authorStellatelli, Oscar Aníbal
dc.contributor.authorVega, Laura Estela
dc.contributor.authorIsacch, Juan Pablo
dc.date.accessioned2019-03-11T12:53:27Z
dc.date.available2019-03-11T12:53:27Z
dc.date.issued2016-09
dc.identifier.issn1442-9985
dc.identifier.issn1442-9993
dc.identifier.otherhttps://doi.org/10.1111/aec.12356
dc.identifier.urihttps://onlinelibrary.wiley.com/doi/10.1111/aec.12356
dc.identifier.urihttp://hdl.handle.net/20.500.12123/4566
dc.description.abstractThe knowledge of environmental variables associated with the species occurrence allows the recognition of sites which fulfil ecological requirements eventually used for conservation of species. The coastal dunes of Argentina are inhabited by sand lizards. Anthropic activities have severely degraded this ecosystem, affecting the habitat structure at a large scale. In this context, the effects of landscape characteristics on the sand lizard's (Liolaemus wiegmannii, Liolaemidae) presence were analysed to build habitat suitability maps along the coastal dunes of Argentina. A thematic map of study area was obtained from supervised classification of satellite images to identify landscape characteristics. Surveys were conducted during the lizard activity season, and landscape variables were measured in two spatial units. All information collected was compiled into a Geographic Information System. The relationship between the presence of lizards and landscape variables was evaluated by Generalized Linear Models. The predictions of these models were transferred by using Geographic Information System to habitat suitability maps. Almost all individuals (80%) were observed in semi‐fixed dunes. The analysis of landscape metrics in the two spatial extents showed complementary results. The habitat suitability models suggest that: (i) heterogeneous landscapes composed by disaggregated patches of semi‐fixed dunes and low or null percentages of active dunes distant from the coastline are the preferred environments, and (ii) human modifications such as urbanizations and forestation of dunes, have a negative impact on species occurrence. Suitable habitats were almost absent in those sectors of coastal dunes with highest level of urbanization, whereas they were distributed almost continuously in those areas without human disturbances.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherWileyes_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceAustral Ecology 41 (6) : 671-680 (September 2016)es_AR
dc.subjectLagartoes_AR
dc.subjectLizardseng
dc.subjectTemperaturaes_AR
dc.subjectTemperatureeng
dc.subjectDunases_AR
dc.subjectDuneseng
dc.subjectHabitates_AR
dc.subjectHabitatseng
dc.subject.otherLagartijaes_AR
dc.subject.otherLiolaemus wiegmanniies_AR
dc.subject.otherRegión Costera, Argentinaes_AR
dc.titleHabitat suitability models for the sand lizard Liolaemus wiegmannii based on landscape characteristics in temperate coastal dunes in Argentinaes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.description.origenEEA Balcarcees_AR
dc.description.filFil: Block, Carolina. 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 Ciencia Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentinaes_AR
dc.description.filFil: Pedrana, Julieta. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Stellatelli, Oscar Aníbal. 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 Ciencia Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentinaes_AR
dc.description.filFil: Vega, Laura Estela. 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 Ciencia Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentinaes_AR
dc.description.filFil: Isacch, Juan Pablo. 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 Ciencia Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentinaes_AR
dc.subtypecientifico


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