A guide to state–space modeling of ecological time series
M Auger‐Méthé, K Newman, D Cole… - Ecological …, 2021 - Wiley Online Library
State–space models (SSMs) are an important modeling framework for analyzing ecological
time series. These hierarchical models are commonly used to model population dynamics …
time series. These hierarchical models are commonly used to model population dynamics …
[HTML][HTML] Machine learning for inferring animal behavior from location and movement data
G Wang - Ecological informatics, 2019 - Elsevier
Movement ecology has rapidly advanced owing to recent developments of animal-attached
devices and wide applications of sophisticated statistical and machine learning techniques …
devices and wide applications of sophisticated statistical and machine learning techniques …
What is the animal doing? Tools for exploring behavioural structure in animal movements
Movement data provide a window–often our only window–into the cognitive, social and
biological processes that underlie the behavioural ecology of animals in the wild. Robust …
biological processes that underlie the behavioural ecology of animals in the wild. Robust …
State-space models for bio-loggers: A methodological road map
Ecologists have an unprecedented array of bio-logging technologies available to conduct in
situ studies of horizontal and vertical movement patterns of marine animals. These tracking …
situ studies of horizontal and vertical movement patterns of marine animals. These tracking …
New insights into pelagic migrations: implications for ecology and conservation
Highly pelagic large marine vertebrates have evolved the capability of moving across large
expanses of the marine environment; some species routinely move across entire ocean …
expanses of the marine environment; some species routinely move across entire ocean …
Movement responses to environment: fast inference of variation among southern elephant seals with a mixed effects model
Like many species, movement patterns of southern elephant seals (Mirounga leonina) are
being influenced by long‐term environmental change. These seals migrate up to 4,000 km …
being influenced by long‐term environmental change. These seals migrate up to 4,000 km …
Movements and habitat use of reef manta rays off eastern Australia: offshore excursions, deep diving and eddy affinity revealed by satellite telemetry
Manta rays (Manta spp.) are plankton-feeding elasmobranchs classified as vulnerable to
extinction on the IUCN Red List for Threatened Species. Despite increasing public and …
extinction on the IUCN Red List for Threatened Species. Despite increasing public and …
Predicting animal behaviour using deep learning: GPS data alone accurately predict diving in seabirds
To prevent further global declines in biodiversity, identifying and understanding key habitats
is crucial for successful conservation strategies. For example, globally, seabird populations …
is crucial for successful conservation strategies. For example, globally, seabird populations …
State‐space models for ecological time‐series data: Practical model‐fitting
State‐space models are an increasingly common and important tool in the quantitative
ecologists' armoury, particularly for the analysis of time‐series data. This is due to both their …
ecologists' armoury, particularly for the analysis of time‐series data. This is due to both their …
Inferring parturition and neonate survival from movement patterns of female ungulates: a case study using woodland caribou
Analyses of animal movement data have primarily focused on understanding patterns of
space use and the behavioural processes driving them. Here, we analyzed animal …
space use and the behavioural processes driving them. Here, we analyzed animal …