Combining Regional Habitat Selection Models for Large-Scale Prediction: Circumpolar Habitat Selection of Southern Ocean Humpback Whales

Combining Regional Habitat Selection Models for Large-Scale Prediction: Circumpolar Habitat Selection of Southern Ocean Humpback Whales

Machine learning algorithms are often used to model and predict animal habitat selection—the relationships between animal occurrences and habitat characteristics. For broadly distributed species, habitat selection often varies among populations and regions; thus, it would seem preferable to fit regi...

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Bibliographic Details
Main Authors: Ryan R. Reisinger, Ari S. Friedlaender, Alexandre N. Zerbini, Daniel M. Palacios, Virginia Andrews-Goff, Luciano Dalla Rosa, Mike Double, Ken Findlay, Claire Garrigue, Jason How, Curt Jenner, Micheline-Nicole Jenner, Bruce Mate, Howard C. Rosenbaum, S. Mduduzi Seakamela, Rochelle Constantine
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Remote Sensing
Subjects:
ensembles
habitat selection
machine learning
prediction
resource selection functions
telemetry
Online Access:https://www.mdpi.com/2072-4292/13/11/2074

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