Article

Behavioural state inference from movement and environmental data using Markovian step selection functions

2026-02-07

Abstract excerpt

Movement paths reflect temporal shifts in behavioural states, typically driven by internal and external drivers. However, the inherently multiphasic nature of these trajectories is frequently overlooked in empirical studies, an oversight that can hinder progress in our understanding of movement ecology. While Hidden Markov Models (HMMs) can successfully identify latent states—such as foraging or travelling—they fa...

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Literature Corpus work: a5ab5591-1a1a-5c81-9e92-72d33f702dd3
DOI: 10.64898/2026.02.05.704063

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