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      Behavioural valuation of landscapes using movement data

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          Abstract

          Wildlife tracking is one of the most frequently employed approaches to monitor and study wildlife populations. To date, the application of tracking data to applied objectives has focused largely on the intensity of use by an animal in a location or the type of habitat. While this has provided valuable insights and advanced spatial wildlife management, such interpretation of tracking data does not capture the complexity of spatio-temporal processes inherent to animal behaviour and represented in the movement path. Here, we discuss current and emerging approaches to estimate the behavioural value of spatial locations using movement data, focusing on the nexus of conservation behaviour and movement ecology that can amplify the application of animal tracking research to contemporary conservation challenges. We highlight the importance of applying behavioural ecological approaches to the analysis of tracking data and discuss the utility of comparative approaches, optimization theory and economic valuation to gain understanding of movement strategies and gauge population-level processes. First, we discuss innovations in the most fundamental movement-based valuation of landscapes, the intensity of use of a location, namely dissecting temporal dynamics in and means by which to weight the intensity of use. We then expand our discussion to three less common currencies for behavioural valuation of landscapes, namely the assessment of the functional (i.e. what an individual is doing at a location), structural (i.e. how a location relates to use of the broader landscape) and fitness (i.e. the return from using a location) value of a location. Strengthening the behavioural theoretical underpinnings of movement ecology research promises to provide a deeper, mechanistic understanding of animal movement that can lead to unprecedented insights into the interaction between landscapes and animal behaviour and advance the application of movement research to conservation challenges.

          This article is part of the theme issue ‘Linking behaviour to dynamics of populations and communities: application of novel approaches in behavioural ecology to conservation’.

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                Author and article information

                Journal
                Philos Trans R Soc Lond B Biol Sci
                Philos. Trans. R. Soc. Lond., B, Biol. Sci
                RSTB
                royptb
                Philosophical Transactions of the Royal Society B: Biological Sciences
                The Royal Society
                0962-8436
                1471-2970
                16 September 2019
                29 July 2019
                29 July 2019
                : 374
                : 1781 , Theme issue ‘Linking behaviour to dynamics of populations and communities: application of novel approaches in behavioural ecology to conservation’ compiled and edited by Jakob Bro-Jørgensen, Daniel W. Franks and Kristine Meise
                : 20180046
                Affiliations
                [1 ]Department of Fish, Wildlife, and Conservation Biology, Colorado State University , Fort Collins, CO  80523, USA
                [2 ]Wildlife Research and Monitoring Section, Ontario Ministry of Natural Resources and Forestry , Peterborough, Ontario, Canada K9J 8M5
                [3 ]Environmental and Life Sciences Graduate Program, Trent University , Peterborough, Ontario, Canada
                Author notes
                Author information
                http://orcid.org/0000-0003-1640-5355
                http://orcid.org/0000-0001-6319-4138
                Article
                rstb20180046
                10.1098/rstb.2018.0046
                6710572
                31352884
                2946749a-5574-4875-b814-0ac723c399e0
                © 2019 The Authors.

                Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

                History
                : 19 March 2019
                Funding
                Funded by: Save the Elephants;
                Award ID: Elephant conservation fund
                Categories
                1001
                14
                60
                69
                203
                Articles
                Review Article
                Custom metadata
                September 16, 2019

                Philosophy of science
                home range,migration,biologging,resource selection,optimization,landscape conservation

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