Machine learning identifies specific habitats associated with genetic connectivity in Hyla squirella.

Abstract excerpt

The goal of this study was to identify and differentiate the influence of multiple habitat types that span a spectrum of suitability for Hyla squirella, a widespread frog species that occurs in a broad range of habitat types. We collected microsatellite data from 675 samples representing 20 localities from the southeastern USA and used machine-learning methodologies to identify significant habitat features...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Algorithms
• Share to Anura
• Share to Artificial Intelligence