Observing the unwatchable: Integrating automated sensing, naturalistic observations and animal social network analysis in the age of big data

JE Smith, N Pinter‐Wollman - Journal of Animal Ecology, 2021 - Wiley Online Library
In the 4.5 decades since Altmann (1974) published her seminal paper on the methods for
the observational study of behaviour, automated detection and analysis of social interaction …

Challenges and solutions for studying collective animal behaviour in the wild

LF Hughey, AM Hein… - … of the Royal …, 2018 - royalsocietypublishing.org
Mobile animal groups provide some of the most compelling examples of self-organization in
the natural world. While field observations of songbird flocks wheeling in the sky or anchovy …

Ecological metrics and methods for GPS movement data

DP Seidel, E Dougherty, C Carlson… - International Journal of …, 2018 - Taylor & Francis
The growing field of movement ecology uses high resolution movement data to analyze
animal behavior across multiple scales: from individual foraging decisions to population …

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 …

Deep learning empowered wearable-based behavior recognition for search and rescue dogs

P Kasnesis, V Doulgerakis, D Uzunidis, DG Kogias… - Sensors, 2022 - mdpi.com
Search and Rescue (SaR) dogs are important assets in the hands of first responders, as
they have the ability to locate the victim even in cases where the vision and or the sound is …

Re-wilding collective behaviour: an ecological perspective

AJ King, G Fehlmann, D Biro, AJ Ward… - Trends in ecology & …, 2018 - cell.com
The earliest studies of collective animal behaviour were inspired by and conducted in the
wild. Over the past decades much of the research in this field has shifted to the laboratory …

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 future of artificial intelligence in monitoring animal identification, health, and behaviour

JV Congdon, M Hosseini, EF Gading, M Masousi… - Animals, 2022 - mdpi.com
Simple Summary Due to climate change and human interference, many species are now
without habitats and on the brink of extinction. Zoos and other conservation spaces allow for …

Quantifying allo-grooming in wild chacma baboons (Papio ursinus) using tri-axial acceleration data and machine learning

C Christensen, AM Bracken… - Royal Society …, 2023 - royalsocietypublishing.org
Quantification of activity budgets is pivotal for understanding how animals respond to
changes in their environment. Social grooming is a key activity that underpins various social …

Limitations of using surrogates for behaviour classification of accelerometer data: refining methods using random forest models in Caprids

ER Dickinson, JP Twining, R Wilson, PA Stephens… - Movement Ecology, 2021 - Springer
Background Animal-attached devices can be used on cryptic species to measure their
movement and behaviour, enabling unprecedented insights into fundamental aspects of …