Using machine learning to predict habitat suitability of sloth bears at multiple spatial scales

Using machine learning to predict habitat suitability of sloth bears at multiple spatial scales

Abstract Background Habitat resources occur across the range of spatial scales in the environment. The environmental resources are characterized by upper and lower limits, which define organisms’ distribution in their communities. Animals respond to these resources at the optimal spatial scale. Ther...

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Bibliographic Details
Main Authors: Tahir Ali Rather, Sharad Kumar, Jamal Ahmad Khan
Format: Article
Language:English
Published: SpringerOpen 2021-06-01
Series:Ecological Processes
Subjects:
Bandhavgarh
Melursus ursinus
Multi-scale
Habitat selection
Random forest
Sloth bear
Online Access:https://doi.org/10.1186/s13717-021-00323-3

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