Identificador persistente para citar o vincular este elemento: https://accedacris.ulpgc.es/jspui/handle/10553/156302
Título: GenDivRange: a global dataset of geo-referenced population genetic diversity across species ranges
Autores/as: Csilléry, Katalin
Yang, Haonan
Hang Hung, Tin
Rodríguez Rodríguez, Priscila 
Miller, Jonathan
Mantovani, Viviani
Chauvier-Mendes, Yohann
Nobis, Michael P.
Clasificación UNESCO: 240903 Genética de poblaciones
Fecha de publicación: 2025
Publicación seriada: Scientific data 
Resumen: The spatial distribution of genetic diversity within a species’ range reflects its past demographic history, and its knowledge is essential to better understand the limits of species ranges and to predict range shifts in response to a changing environment. We present GenDivRange, a unified dataset of published geo-referenced estimates of genetic diversity for 1,109 species, each represented by at least five populations placed on their range maps estimated from Global Biodiversity Information Facility (GBIF) observations. A total of 19,173 populations across the globe and from most major taxa, covering terrestrial, freshwater, and marine organisms, are included. At least one of the three genetic diversity estimates is available for each study: expected heterozygosity, Nei’s gene diversity, or allelic richness, mostly estimated from microsatellite markers. Additionally, the dataset contains the detailed taxonomy, biome, breeding, and adult habitat of each species.
URI: https://accedacris.ulpgc.es/jspui/handle/10553/156302
ISSN: 2052-4463
DOI: 10.1038/s41597-025-05303-2
Fuente: Scientific data [ISSN 2052-4463], v. 12 (Junio 2025)
Colección:Artículos
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