A global database of butterfly species native distributions
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Butterflies represent a diverse group of insects, playing key ecosystem roles such as pollination and their larval form in herbivory. Despite their importance, comprehensive global distribution data for butterfly species is lacking. This lack of comprehensive global data has hindered many large-scale questions in ecology, evolutionary biology, and conservation at regional and global scales. Here, I use an integrative workflow that combines occurrence records, alpha hull polygons, speciesâ dispersal capacity, 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 contemporary period. The database releases native range maps for 10,372 extant species of butterflies at a spatial grain resolution of 5âarcmin (~10âkm). This database has the potential to allow unprecedented large-scale analyses in ecology, biogeography, and conservation of butterflies. The maps are availab..., , , # A global database of butterfly species native distributions
**Data description within the folder \"ButterflyMaps.zip\":**
All scripts and code necessary to repeat the analyses described here have been made available in the R package phyloregion
This folder includes all the data for the Daru paper.
The folder is structured as follows:
\ButterflyMaps (contains all the input data files)
\GreenMaps\CODES (contains all the R scripts that were generated and used in this project)
The full folder structure is below:
+---ButterflyMaps.zip
\| +---Model_test_statistics.csv
\| ---polygons
\| ---rasters
\| ---raw_rasters
+---Data S1.zip
\| ---Data S1.docx
1. ButterflyMaps.zip
* Model_test_statistics.csv: a file with values of the three model test statistics quantifying the predictive accuracy of the models for each species: area under the curve (AUC), True Skill Statistic (TSS), and Boyce Index. Cells containing \"NA\" correspond to cells with missing data.
* polygons: a folder with individua...
创建时间:
2024-08-07



