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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Principais autores:	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
格式:	Artigo
語言:	Inglês
出版:	MDPI AG 2021-05-01
叢編:	Remote Sensing
主題:	ensembles habitat selection machine learning prediction resource selection functions telemetry
在線閱讀:	https://www.mdpi.com/2072-4292/13/11/2074
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