Butterflies represent a diverse group of insects, playing key ecosystem roles such as pollination and their larval form engage in herbivory. Despite their importance, comprehensive global distribution data for butterfly species are lacking. This lack of comprehensive global data has hindered many large‐scale questions in ecology, evolutionary biology, and conservation at the regional and global scales. Here, I use an integrative workflow that combines occurrence records, alpha hull polygons, species' dispersal capacity, and natural habitat and environmental variables within a framework of species distribution models to generate species‐level native distributions for butterflies at a global scale in the contemporary period. The database releases native range maps for 10,372 extant species of butterflies at a spatial grain resolution of 5 arcmin (~10 km). This database has the potential to allow unprecedented large‐scale analyses in ecology, biogeography, and conservation of butterflies. The maps are available in the WGS84 coordinate reference system (EPSG:4326 code) and stored as vector polygons in the GEOPACKAGE format for maximum compression, allowing easy data manipulation using a standard computer. I additionally provide each species' spatial raster. All maps and R scripts are open access and available for download in Dryad and Zenodo, respectively, and are guided by FAIR (Findable, Accessible, Interoperable, and Reusable) data principles. By making these data available to the scientific community, I aim to advance the sharing of biological data to stimulate more comprehensive research in ecology, biogeography, and conservation of butterflies.

中文翻译：

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蝴蝶物种原生分布的全球数据库


蝴蝶是一组多样化的昆虫，在生态系统中发挥着关键的作用，例如授粉，它们的幼虫形式从事食草活动。尽管蝴蝶很重要，但缺乏蝴蝶物种的全球分布数据。缺乏全面的全球数据阻碍了区域和全球尺度的生态学、进化生物学和保护方面的许多大规模问题。在这里，我使用了一个综合工作流程，将发生记录、alpha 船体多边形、物种的扩散能力以及自然栖息地和环境变量结合在物种分布模型的框架内，以生成当代全球规模的蝴蝶物种级原生分布。该数据库以 5 arcmin （~10 km） 的空间粒度分辨率发布了 10,372 种现存蝴蝶的原生分布图。该数据库有可能在生态学、生物地理学和蝴蝶保护方面进行前所未有的大规模分析。这些地图在 WGS84 坐标参考系统（EPSG：4326 代码）中提供，并以 GEOPACKAGE 格式存储为矢量多边形，以实现最大压缩，从而允许使用标准计算机轻松进行数据操作。我还提供了每个物种的空间栅格。所有地图和 R 脚本都是开放访问的，可分别在 Dryad 和 Zenodo 中下载，并遵循 FAIR（可查找、可访问、可互操作和可重用）数据原则。通过向科学界提供这些数据，我旨在促进生物数据的共享，以促进在生态学、生物地理学和蝴蝶保护方面进行更全面的研究。