Predicting seasonal movements and distribution of the sperm whale using machine learning algorithms

Abstract Implementation of effective conservation planning relies on a robust understanding of the spatiotemporal distribution of the target species. In the marine realm, this is even more challenging for species rarely seen at the sea surface due to their extreme diving behavior like the sperm whal...

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Bibliographic Details
Main Authors: Philippine Chambault, Sabrina Fossette, Mads Peter Heide‐Jørgensen, Daniel Jouannet, Michel Vély
Format: Article
Language:English
Published: Wiley 2021-02-01
Series:Ecology and Evolution
Subjects:
SDM
Online Access:https://doi.org/10.1002/ece3.7154