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      Modelling flight heights of lesser black-backed gulls and great skuas from GPS: a Bayesian approach

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          State-space models of individual animal movement.

          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.
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            Assessing the impacts of wind farms on birds

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              A flexible GPS tracking system for studying bird behaviour at multiple scales

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                Author and article information

                Journal
                Journal of Applied Ecology
                J Appl Ecol
                Wiley-Blackwell
                00218901
                December 2016
                December 2016
                : 53
                : 6
                : 1676-1685
                Article
                10.1111/1365-2664.12760
                9658df38-3f68-457a-b6f5-47e88aea0756
                © 2016

                http://doi.wiley.com/10.1002/tdm_license_1.1

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