Digital distribution maps of the bats of Texas

Of all the terrestrial mammals in Texas, bats (order Chiroptera) are the most imperiled with 23 species (72% of species in the order that occur in Texas) listed by the Texas Parks and Wildlife Department as Species of Greatest Conservation Need (SGCN). Despite so many bat species categorized as SGCN, we have only a course understanding of their distribution and little quantitative understanding of the relative imperilment of species stemming from a variety of anthropogenic threats. High resolution estimate of distribution would aid much in directing conservation efforts in the state and could identify species needing the greatest conservation attention. Recent advances in ecological niche modeling allow construction of digital distribution maps that are much more resolved and provide estimates of habitat suitability that reflect the probability of occurrence of species. We generated ecological niche models (ENM’s) for 34 species of bats occurring in the state of Texas. These data repres..., , # Digital distribution maps of the bats of Texas

Dataset DOI: [10.5061/dryad.hx3ffbgsz](https://doi.org/10.5061/dryad.hx3ffbgsz)

## Description of the data and file structure

We submitted here our data (**Data** **folder**) around which Texas species we analyzed (**Texas species from grant.csv**), the standardized names we used for each species (**Species name code.csv**), and the smaller Texas collections we requested and received data from (**Distribution Data from Smaller Texas Collections** folder). We also submitted our results from our MaxEnt models of each Texas bat species (**Results** **folder**) as geotiffs (**MaxEnt raster predictions sub-folder**) and tables (**MaxEnt Tables** **sub-folder**) including MaxEnt tuning results (**final_results.csv**), variable importance measures (**permutation_importance.csv**), the total number of thinned coordinates per species (**species_thinrec_counts.csv**), and a master table containing the values from our environmental variables and ...,