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      Movement reveals reproductive tactics in male elephants

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          Abstract

          1. Long‐term bio‐logging has the potential to reveal how movements, and hence life‐history trade‐offs, vary over a lifetime. Reproductive tactics in particular may vary as individuals' trade‐off current investment versus lifetime fitness. Male African savanna elephants ( Loxodona africana) provide a telling example of balancing body growth with reproductive fitness due to the combination of indeterminate growth and strongly delineated periods of sexual activity (musth), which results in reproductive tactics that alter with age.

          2. Our study aims to quantify the extent to which male elephants alter their movement patterns, and hence energetic allocation, in relation to (a) reproductive state and (b) age, and (c) to determine whether musth periods can be detected directly from GPS tracking data.

          3. We used a combination of GPS tracking data and visual observations of 25 male elephants ranging in age from 20 to 52 years to examine the influence of reproductive state and age on movement. We then used a three‐state hidden Markov model (HMM) to detect musth behaviour in a subset of sequential tracking data.

          4. Our results demonstrate that male elephants increased their daily mean speed and range size with age and in musth. Furthermore, non‐musth speed decreased with age, presumably reflecting a shift towards energy acquisition during non‐musth. Thus, despite similar speeds and marginally larger ranges between reproductive states at age 20, by age 50, males were travelling 2.0 times faster in a 3.5 times larger area in musth relative to non‐musth. The distinctiveness of musth periods over age 35 meant the three‐state HMM could automatically detect musth movement with high sensitivity and specificity, but could not for the younger age class.

          5. We show that male elephants increased their energetic allocation into reproduction with age as the probability of reproductive success increases. Given that older male elephants tend to be both the target of legal trophy hunting and illegal poaching, man‐made interference could drive fundamental changes in elephant reproductive tactics. Bio‐logging, as our study reveals, has the potential both to quantify mature elephant reproductive tactics remotely and to be used to institute proactive management strategies around the reproductive behaviour of this charismatic keystone species.

          Abstract

          Combining GPS tracking with visual observations of male elephants, the authors found that older individuals markedly increased their daily speed and range use when reproductively active. Reproductively associated movements were not identifiable for younger individuals. Automatic detection of reproductive state in mature male elephants can be accomplished with GPS tracking.

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          Most cited references39

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          Inference from Iterative Simulation Using Multiple Sequences

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            Table of Equivalent Populations of North American Small Mammals

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              Continuous-time correlated random walk model for animal telemetry data.

              We propose a continuous-time version of the correlated random walk model for animal telemetry data. The continuous-time formulation allows data that have been nonuniformly collected over time to be modeled without subsampling, interpolation, or aggregation to obtain a set of locations uniformly spaced in time. The model is derived from a continuous-time Ornstein-Uhlenbeck velocity process that is integrated to form a location process. The continuous-time model was placed into a state-space framework to allow parameter estimation and location predictions from observed animal locations. Two previously unpublished marine mammal telemetry data sets were analyzed to illustrate use of the model, by-products available from the analysis, and different modifications which are possible. A harbor seal data set was analyzed with a model that incorporates the proportion of each hour spent on land. Also, a northern fur seal pup data set was analyzed with a random drift component to account for directed travel and ocean currents.
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                Author and article information

                Contributors
                lucy.taylor@zoo.ox.ac.uk
                Journal
                J Anim Ecol
                J Anim Ecol
                10.1111/(ISSN)1365-2656
                JANE
                The Journal of Animal Ecology
                John Wiley and Sons Inc. (Hoboken )
                0021-8790
                1365-2656
                24 June 2019
                January 2020
                : 89
                : 1 , Special Feature: Biologging ( doiID: 10.1111/jane.v89.1 )
                : 57-67
                Affiliations
                [ 1 ] Department of Zoology University of Oxford Oxford UK
                [ 2 ] Save the Elephants Nairobi Kenya
                [ 3 ] Department of Infectious Disease Epidemiology Imperial College London London UK
                [ 4 ] Department of Statistics University of Oxford Oxford UK
                [ 5 ] Department of Fish, Wildlife, and Conservation Biology Colorado State University Fort Collins Colorado
                Author notes
                [*] [* ] Correspondence

                Lucy A. Taylor

                Email: lucy.taylor@ 123456zoo.ox.ac.uk

                [†]

                Deceased 17th February 2019.

                Author information
                https://orcid.org/0000-0003-4443-9456
                http://orcid.org/0000-0003-4274-4158
                https://orcid.org/0000-0003-1640-5355
                Article
                JANE13035
                10.1111/1365-2656.13035
                7004166
                31236936
                b4f22086-a09c-4a18-a083-02a697fd21de
                © 2019 The Authors Journal of Animal Ecology published by John Wiley & Sons Ltd on behalf of British Ecological Society

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 19 September 2018
                : 30 March 2019
                Page count
                Figures: 3, Tables: 1, Pages: 11, Words: 8873
                Funding
                Funded by: Biotechnology and Biological Sciences Research Council , open-funder-registry 10.13039/501100000268;
                Award ID: BB/J014427/1
                Funded by: Engineering and Physical Sciences Research Council , open-funder-registry 10.13039/501100000266;
                Award ID: EP/F500394/1
                Categories
                Biologging
                Individual Differences in Behaviour and Movements
                Custom metadata
                2.0
                January 2020
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.7.5 mode:remove_FC converted:06.02.2020

                Ecology
                bio‐logging,elephant,gps,movement,musth,reproduction
                Ecology
                bio‐logging, elephant, gps, movement, musth, reproduction

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