Pattersonetal_2008_SSM_TREE.pdf (662.92 kB)
State-space models of individual animal movement
journal contribution
posted on 2023-05-16, 23:13 authored by Toby Patterson, Thomas, L, Wilcox, C, Ovaskainen, O, Matthiopoulos, JDetailed observation of the movement of individual animals offers the potential to understand spatial population processes as the ultimate consequence of individual behaviour, physiological constraints and fine-scale environmental influences. However, movement data from individuals are intrinsically stochastic and often subject to severe observation error. Linking such complex data to dynamical models of movement is a major challenge for animal ecology. Here, we review a statistical approach, state-space modelling, which involves changing how we analyse movement data and draw inferences about the behaviours that shape it. The statistical robustness and predictive ability of state-space models make them the most promising avenue towards a new type of movement ecology that fuses insights from the study of animal behaviour, biogeography and spatial population dynamics. © 2007 Elsevier Ltd. All rights reserved.
History
Publication title
Trends in Ecology & EvolutionVolume
23Pagination
87-94ISSN
0169-5347Department/School
School of Natural SciencesPublisher
Elsevier Ltd., Trends JournalPlace of publication
United KingdomRepository Status
- Restricted