@prefix config: . @prefix meta: . @prefix rdf: . @prefix rdfs: . @prefix xsd: . @prefix owl: . @prefix dc: . @prefix dcmitype: . @prefix dcterms: . @prefix foaf: . @prefix geo: . @prefix om: . @prefix locn: . @prefix schema: . @prefix skos: . @prefix dbpedia: . @prefix p: . @prefix yago: . @prefix units: . @prefix geonames: . @prefix prv: . @prefix prvTypes: . @prefix doap: . @prefix void: . @prefix ir: . @prefix ou: . @prefix teach: . @prefix time: . @prefix datex: . @prefix aiiso: . @prefix vivo: . @prefix bibo: . @prefix fabio: . @prefix vcard: . @prefix swrcfe: . @prefix frapo: . @prefix org: . @prefix ei2a: . @prefix pto: . ou:urlDialnet ; dcterms:contributor "Lavado Contador, Joaquín Francisco"; ou:editorial "Universidad de Extremadura"; fabio:hasPublicationYear "2016"; dcterms:publisher "Tecnologías de la Información Geográfica en el Análisis Espacial. Aplicaciones en los Sectores Público, Empresarial y Universitario"; ou:bibtex "@incollection{dialnet-ART:5776216, abstract= {Cervunales, whose most representative species is Nardus stricta, are mountain habitats in the Iberian Peninsula developed as compact high mountain lawns. They include endemic plant species of high value for European biodiversity and also constitute pastures of economic interest. Like other mountain habitats, organized as ecosystem mosaics, cervunales are very sensitive to the effects of climate change. The objectives of this study is to determine the potential areas of distribution of some representative species of this habitat, as well as their temporal evolution in the near decades, identifying the climatic variables that affect their present and future viability in the Iberian Peninsula and in Extremadura. In order to achieve these objectives, models were developed representing the potential distribution of the selected species. The maximum entropy algorithm (Maxent) was used as the modeling technique. Models and maps of potential distribution based on climate variables were analyzed and interpreted using raster and vector map algebra in a GIS environment}, author= {Lavado Contador, Joaquín Francisco and Borrega Claver, Rubén}, booktitle= {Tecnologías de la Información Geográfica en el Análisis Espacial. Aplicaciones en los Sectores Público, Empresarial y Universitario}, edition= {1}, isbn= {978-84-617-6760-1}, pages= {11--32}, publisher= {Grupo de Investigación Geo-Ambiental}, title= {Influencia del cambio climático en la distribución de los cervunales de la Península Ibérica}, year= {2016}}"; bibo:page_range "11 - 32"; ou:tipoPublicacion "Book Chapter"; dcterms:title "Influencia del cambio climático en la distribución de los cervunales de la Península Ibérica"; a ou:Publicacion; dcterms:created "2017-01-13T00:00:00"^^xsd:dateTime; vivo:identifier "2016-1380"; dcterms:modified "2017-01-13T00:00:00"^^xsd:dateTime; bibo:isbn "9788461767601". ou:tienePublicacion .