Cetacean feeding modelling using machine learning: A case study of the Central-Eastern Mediterranean Sea

Cetacean feeding modelling using machine learning: A case study of the Central-Eastern Mediterranean Sea

Investigating environmental drivers of cetacean feeding behaviour is essential for effective marine resource management, especially in the Mediterranean Sea, a biodiversity hotspot heavily impacted by human activities and climate change. This study realized a pioneer assessment of feeding activity r...

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Bibliographic Details
Main Authors: Carla Cherubini, Giulia Cipriano, Leonardo Saccotelli, Giovanni Dimauro, Giovanni Coppini, Roberto Carlucci, Carmelo Fanizza, Rosalia Maglietta
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:Ecological Informatics
Subjects:
Machine learning
Random Forest
Species distribution models
Cetacean conservation
Feeding behaviour
Behavioural science
Online Access:http://www.sciencedirect.com/science/article/pii/S1574954125000755
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http://www.sciencedirect.com/science/article/pii/S1574954125000755

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