State–space models (SSMs) are an important modeling framework for analyzing ecological
time series. These hierarchical models are commonly used to model population dynamics …

Acoustic telemetry has helped overcome many of the challenges faced when studying the
movement ecology of aquatic species, allowing to obtain unprecedented amounts of data …

Animal tracking data are indispensable for understanding the ecology, behaviour and
physiology of mobile or cryptic species. Meaningful signals in these data can be obscured …

Effective ocean management and the conservation of highly migratory species depend on
resolving the overlap between animal movements and distributions, and fishing effort …

Movement ecology has developed rapidly over the past decade, driven by advances in
tracking technology that have largely removed data limitations. Development of rigorous …

Discrete‐time hidden Markov models (HMMs) have become an immensely popular tool for
inferring latent animal behaviours from telemetry data. While movement HMMs typically rely …

Quantifying animals' home ranges is a key problem in ecology and has important
conservation and wildlife management applications. Kernel density estimation (KDE) is a …

The study of animal movement has always been a key element in ecological science,
because it is inherently linked to critical processes that scale from individuals to populations …

Abstract The Green Wave Hypothesis posits that herbivore migration manifests in response
to waves of spring green‐up (ie green‐wave surfing). Nonetheless, empirical support for the …

Abstract Hidden Markov models (HMMs) and their extensions are attractive methods for
analysing ecological data where noisy, multivariate measurements are made of a hidden …