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Big-data approaches lead to an increased understanding of the ecology of animal movement
Understanding animal movement is essential to elucidate how animals interact, survive, and
thrive in a changing world. Recent technological advances in data collection and …
thrive in a changing world. Recent technological advances in data collection and …
Uncovering ecological state dynamics with hidden Markov models
Ecological systems can often be characterised by changes among a finite set of underlying
states pertaining to individuals, populations, communities or entire ecosystems through time …
states pertaining to individuals, populations, communities or entire ecosystems through time …
Optimizing the use of biologgers for movement ecology research
The paradigm‐changing opportunities of biologging sensors for ecological research,
especially movement ecology, are vast, but the crucial questions of how best to match the …
especially movement ecology, are vast, but the crucial questions of how best to match the …
Quantifying the movement, behaviour and environmental context of group‐living animals using drones and computer vision
Methods for collecting animal behaviour data in natural environments, such as direct
observation and biologging, are typically limited in spatiotemporal resolution, the number of …
observation and biologging, are typically limited in spatiotemporal resolution, the number of …
moveHMM: an R package for the statistical modelling of animal movement data using hidden Markov models
Due to the substantial progress in tracking technology, recent years have seen an explosion
in the amount of movement data being collected. This has led to a huge demand for …
in the amount of movement data being collected. This has led to a huge demand for …
Selecting the number of states in hidden Markov models: pragmatic solutions illustrated using animal movement
We discuss the notorious problem of order selection in hidden Markov models, that is of
selecting an adequate number of states, highlighting typical pitfalls and practical challenges …
selecting an adequate number of states, highlighting typical pitfalls and practical challenges …
Hidden Markov models: Pitfalls and opportunities in ecology
Abstract Hidden Markov models (HMMs) and their extensions are attractive methods for
analysing ecological data where noisy, multivariate measurements are made of a hidden …
analysing ecological data where noisy, multivariate measurements are made of a hidden …
Recent trends in movement ecology of animals and human mobility
Movement is fundamental to life, sha** population dynamics, biodiversity patterns, and
ecosystem structure. In 2008, the movement ecology framework (MEF Nathan et al. in PNAS …
ecosystem structure. In 2008, the movement ecology framework (MEF Nathan et al. in PNAS …
Habitat selection patterns are density dependent under the ideal free distribution
Despite being widely used, habitat selection models are rarely reliable and informative
when applied across different ecosystems or over time. One possible explanation is that …
when applied across different ecosystems or over time. One possible explanation is that …
An integrated path for spatial capture–recapture and animal movement modeling
Ecologists and conservation biologists increasingly rely on spatial capture–recapture (SCR)
and movement modeling to study animal populations. Historically, SCR has focused on …
and movement modeling to study animal populations. Historically, SCR has focused on …