Statistical modeling in movement ecology

Organism mobility is a fundamental characteristic of life. The emerging field of Movement Ecology is providing spatio-temporal data on the processes that drive mobility. Understanding these processes holds great promise for many pressing problems, such as wildlife conservation and the spread of animal-borne (zoonotic) diseases. This session highlights the current frontier of statistical methods that support inference about organismic trajectories.

• Identifying stationnary phases in animal movement, Marie-Pierre Etienne (Institut Agro, Agrocampus Ouest) abstract
• Modelling latent animal movement in distance sampling and spatial capture-recapture, Richard Glennie (University of St Andrews, Centre for Research into Ecological and Environmental Modeling) abstract
• Deciphering the traces of animal-environment interactions by interpreting position through time: The challenges of making sense of movement data from an ecologist's perspective, Kamran Safi (Max Planck Institute for Ornithology) abstract
• Predicting Marine Birds Foraging Behaviour with Deep Learning, Amédée Roy (Institute of Research for Development, UMR MARBEC, Montpellier) abstract