GenDivRange: A global dataset of geo-referenced population genetic diversity across species ranges

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.

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Publication Details

Journal
Scientific Data
Published
2025-06-11
DOI
https://doi.org/10.1038/s41597-025-05303-2
Citations
1
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
1.84

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article

GenDivRange: A global dataset of geo-referenced population genetic diversity across species ranges

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1 citations
Scientific Data
Species Distribution and Climate Change
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GenDivRange: A global dataset of geo-referenced population genetic diversity across species ranges

Tin Hang Hung, Yohann Chauvier, Jonathan Miller, Viviani Mantovani, Michael P. Nobis, Haonan Yang, Priscila Rodríguez‐Rodríguez, Katalin Csilléry
article en
1 citations

Abstract

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.

Scientific DataVol. 12(1)
Universidad de Las Palmas de Gran Canaria (ES), Swiss Federal Institute for Forest, Snow and Landscape Research (CH), Universidad Tecnológica de Honduras (HN), University of Oxford (GB), National Autonomous University of Honduras (HN), Institut de Biologia Evolutiva (ES), Honduras Foundation for Agricultural Research (HN), Swiss Federal Institute of Aquatic Science and Technology (CH)
National Science Foundation, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Universidad de Las Palmas de Gran Canaria, A.H. Schultz-Stiftung zur Förderung Primatologischer Forschung
Openalex Percentile: Top 15%
Species Distribution and Climate Change
1.84
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