Anthropogenic impacts drive habitat suitability in South Asian bats
Published: 3 January 2024| Version 1 | DOI: 10.17632/7hydcb3pff.1
Contributors:
Aditya Srinivasulu, , Description
This study analyses the ecogeographic predictors of habitat suitability in South Asian bats by conducting ensemble ecological niche modelling using four algorithms (random forests, artificial neural networks, multivariate adaptive regression splines, and maximum entropy) to define suitability envelopes for 30 selected bat species, based on topographic, land-use and -cover, and additional anthropogenic impact factors. Dataset comprises point locations (in a csv file) of the 30 species used, and variable rasters (in a raster stack, .tif format) for the 23 ecogeographic factors included in the study.
Files
Institutions
University of Reading
Categories
Ecological Niche, Niche Modeling, South Asia, Bat, Habitat
Funding
University of Reading
GS21-026