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State-space models of individual animal movement

Citation

Patterson, TA and Thomas, L and Wilcox, C and Ovaskainen, O and Matthiopoulos, J, State-space models of individual animal movement, Trends in Ecology & Evolution, 23, (2) pp. 87-94. ISSN 0169-5347 (2008) [Refereed Article]

DOI: doi:10.1016/j.tree.2007.10.009

Abstract

Detailed 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.

Item Details

Item Type:Refereed Article
Research Division:Environmental Sciences
Research Group:Ecological Applications
Research Field:Ecological Applications not elsewhere classified
Objective Division:Environment
Objective Group:Other Environment
Objective Field:Environment not elsewhere classified
Author:Patterson, TA (Mr Toby Patterson)
ID Code:55403
Year Published:2008
Web of Science® Times Cited:375
Deposited By:Zoology
Deposited On:2009-03-10
Last Modified:2009-05-11
Downloads:0

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