An application of upscaled optimal foraging theory using hidden Markov modelling: year-round behavioural variation in a large arctic herbivore

An application of upscaled optimal foraging theory using hidden Markov modelling: year-round behavioural variation in a large arctic herbivore

Abstract Background In highly seasonal environments, animals face critical decisions regarding time allocation, diet optimisation, and habitat use. In the Arctic, the short summers are crucial for replenishing body reserves, while low food availability and increased energetic demands characterise th...

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Bibliographic Details
Main Authors: Larissa T. Beumer, Jennifer Pohle, Niels M. Schmidt, Marianna Chimienti, Jean-Pierre Desforges, Lars H. Hansen, Roland Langrock, Stine Højlund Pedersen, Mikkel Stelvig, Floris M. van Beest
Format: Article
Language:English
Published: BMC 2020-06-01
Series:Movement Ecology
Subjects:
Hidden Markov modelling
Behavioural state classification
Seasonality
Activity budgets
Arctic ungulate
Optimal foraging theory
Online Access:http://link.springer.com/article/10.1186/s40462-020-00213-x

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http://link.springer.com/article/10.1186/s40462-020-00213-x

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