https://socictopen.socict.org/files/original/190a8980130a27a6c0e2da9c3d93995b.pdf 52df34b7b40d7e07d9ffc46da1b13630 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Agricultura sostenible Description An account of the resource Dominio científico: Agricultura sostenible Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Modeling ecological niches and predicting geographic distributions: a test of six presence-only methods Modelado de nichos ecológicos y predicción de distribuciones geográficas: comparación de seis métodos Creator An entity primarily responsible for making the resource A. Townsend Peterson, Miguel A. Ortega-Huerta Description An account of the resource Modeling ecological niches of species as a means to predict geographic distributions is a growing field that has been applied to numerous challenges of importance in ecology, systematics, and human well-being. The increasing availability and variety of such predictive algorithms requires testing their performance. In this study, we compare 6 such algorithms (Maxent, BioMapper, DOMAIN, FloraMap, the genetic algorithm GARP, and weights of evidence) as regards their ability to predict the geographic distributions of 10 species of Mexican birds for which ample distributional data are available. The results of this study nevertheless led to reflections on how model quality should be evaluated.La predicción de las distribuciones geográficas de las especies obtenida mediante el modelado de sus nichos ecológicos, representa una línea de investigación en expansión, la cual ha sido aplicada en múltiples áreas de conocimiento tales como ecología, sistemática y salud pública. La creciente disponibilidad y variedad de tales métodos y algoritmos de predicción determina su evaluación como necesaria. En este estudio, comparamos 6 algoritmos (Maxent, BioMapper, Domain, FloraMap, GARP, Weights of Evidence) con respecto a su habilidad para predecir las distribuciones geográficas de 10 especies de aves de México, para las cuales se cuenta con suficientes datos distribucionales. No obstante, los resultados de nuestro estudio sugieren la necesidad de elaborar nuevos criterios para la evaluación de modelos. Date A point or period of time associated with an event in the lifecycle of the resource 2008 Subject The topic of the resource Algoritmos, Species distributions, algorithms, distribuciones geográficas de especies, ecological niche modeling, model validation, modelado de nichos ecológicos, validación de modelos Source A related resource from which the described resource is derived Revista Mexicana de Biodiversidad Publisher An entity responsible for making the resource available Universidad Nacional Autónoma de México Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Biology (General) Relation A related resource <a href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1870-34532008000100017" target="_blank" rel="noreferrer noopener">http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1870-34532008000100017</a>