Oceanographic drivers of marine mammal and seabird habitat-use across shelf-seas: a guide to key features and recommendations for future research and …

SL Cox, CB Embling, PJ Hosegood, SC Votier… - Estuarine, Coastal and …, 2018 - Elsevier
Abstract Mid-latitude (∼ 30-60°) seasonally stratifying shelf-seas support a high abundance
and diversity of marine predators such as marine mammals and seabirds. However …

Big data approaches to the spatial ecology and conservation of marine megafauna

D Grémillet, D Chevallier… - ICES Journal of Marine …, 2022 - academic.oup.com
Satellite remote-sensing and wildlife tracking allow researchers to record rapidly increasing
volumes of information on the spatial ecology of marine megafauna in the context of global …

Development and application of a machine learning algorithm for classification of elasmobranch behaviour from accelerometry data

LR Brewster, JJ Dale, TL Guttridge, SH Gruber… - Marine biology, 2018 - Springer
Discerning behaviours of free-ranging animals allows for quantification of their activity
budget, providing important insight into ecology. Over recent years, accelerometers have …

A guide to sampling design for GPS‐based studies of animal societies

P He, JA Klarevas‐Irby, D Papageorgiou… - Methods in Ecology …, 2023 - Wiley Online Library
GPS‐based tracking is widely used for studying wild social animals. Much like traditional
observational methods, using GPS devices requires making a number of decisions about …

How to study a predator that only eats a few meals a year: high-frequency accelerometry to quantify feeding behaviours of rattlesnakes (Crotalus spp.)

RJ Hanscom, DL DeSantis, JL Hill, T Marbach… - Animal …, 2023 - Springer
Background Many snakes are low-energy predators that use crypsis to ambush their prey.
Most of these species feed very infrequently, are sensitive to the presence of larger …

The role of individual variability on the predictive performance of machine learning applied to large bio-logging datasets

M Chimienti, A Kato, O Hicks, F Angelier, M Beaulieu… - Scientific Reports, 2022 - nature.com
Animal-borne tagging (bio-logging) generates large and complex datasets. In particular,
accelerometer tags, which provide information on behaviour and energy expenditure of wild …

A comparison of techniques for classifying behavior from accelerometers for two species of seabird

A Patterson, HG Gilchrist, L Chivers… - Ecology and …, 2019 - Wiley Online Library
The behavior of many wild animals remains a mystery, as it is difficult to quantify behavior of
species that cannot be easily followed throughout their daily or seasonal movements …

Multisensor acoustic tracking of fish and seabird behavior around tidal turbine structures in Scotland

BJ Williamson, S Fraser, P Blondel… - IEEE Journal of …, 2017 - ieeexplore.ieee.org
Despite rapid development of marine renewable energy, relatively little is known of the
immediate and future impacts on the surrounding ecosystems. Quantifying the behavior and …

Quantifying behavior and life‐history events of an Arctic ungulate from year‐long continuous accelerometer data

M Chimienti, FM van Beest, LT Beumer… - …, 2021 - Wiley Online Library
Bio‐logging technology is now the golden standard for assessing how individual animals
change their movement and behavior over time and space. Three‐dimensional …

Classification of behaviors of free-ranging cattle using accelerometry signatures collected by virtual fence collars

E Versluijs, LJ Niccolai, M Spedener… - Frontiers in Animal …, 2023 - frontiersin.org
Precision farming technology, including GPS collars with biologging, has revolutionized
remote livestock monitoring in extensive grazing systems. High resolution accelerometry can …