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Updated: Jun 6, 2025

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Deploying Community Scientists to Conduct Nondestructive Genetic Sampling of Rare Butterfly Populations
Published on: October 28, 2022
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A global database of butterfly species native distributions
1Department of Biology, Stanford University, Stanford, California, USA.
Ecology
|November 25, 2024
Summary
A new global database provides native range maps for 10,372 butterfly species, addressing a critical data gap. This resource enables large-scale ecological and conservation research on butterflies worldwide.
Area of Science:
- Ecology
- Biogeography
- Conservation Biology
Background:
- Butterflies are ecologically vital insects, serving roles in pollination and herbivory.
- Existing global distribution data for butterfly species are insufficient for large-scale ecological and conservation studies.
- Lack of comprehensive data hinders research in ecology, evolutionary biology, and conservation.
Purpose of the Study:
- To create a comprehensive global database of native butterfly species distributions.
- To enable large-scale analyses in butterfly ecology, biogeography, and conservation.
- To provide open-access data and tools for the scientific community.
Main Methods:
- Utilized an integrative workflow combining occurrence records, alpha hull polygons, and species dispersal capacity.
- Employed species distribution models with natural habitat and environmental variables.
- Generated species-level native distribution maps at a 5-arcmin (~10 km) resolution.
Main Results:
- Developed native range maps for 10,372 extant butterfly species globally.
- Data are available in WGS84 (EPSG:4326) as vector polygons (GeoPackage) and rasters.
- Maps and R scripts are open access, adhering to FAIR data principles.
Conclusions:
- The new database facilitates unprecedented large-scale research on butterfly ecology, biogeography, and conservation.
- Enhanced data accessibility promotes broader scientific inquiry and data sharing.
- This resource is expected to significantly advance biological data sharing and research.
Keywords:
HedyloideaHesperiidaePapilionoideaRhopalocerabutterfliesdatabasespecies distribution modelsspecies richnessMore Related Videos
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