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Emerging Network-Based Tools in Movement Ecology

Jacoby, DMP; Freeman, R; (2016) Emerging Network-Based Tools in Movement Ecology. Trends in Ecology & Evolution , 31 (4) pp. 301-314. 10.1016/j.tree.2016.01.011. Green open access

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Abstract

New technologies have vastly increased the available data on animal movement and behaviour. Consequently, new methods deciphering the spatial and temporal interactions between individuals and their environments are vital. Network analyses offer a powerful suite of tools to disentangle the complexity within these dynamic systems, and we review these tools, their application, and how they have generated new ecological and behavioural insights. We suggest that network theory can be used to model and predict the influence of ecological and environmental parameters on animal movement, focusing on spatial and social connectivity, with fundamental implications for conservation. Refining how we construct and randomise spatial networks at different temporal scales will help to establish network theory as a prominent, hypothesis-generating tool in movement ecology.

Type: Article
Title: Emerging Network-Based Tools in Movement Ecology
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.tree.2016.01.011
Publisher version: http://dx.doi.org/10.1016/j.tree.2016.01.011
Language: English
Additional information: Copyright © 2016 Elsevier Ltd. All rights reserved.
Keywords: Animal tracking; connectivity; graph theory; spatial networks; social behaviour; telemetry
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Genetics, Evolution and Environment
URI: http://discovery.ucl.ac.uk/id/eprint/1502390
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