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      Discriminating patterns and drivers of multiscale movement in herpetofauna: The dynamic and changing environment of the Mojave desert tortoise

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          Abstract

          Changes to animal movement in response to human‐induced changes to the environment are of growing concern in conservation. Most research on this problem has focused on terrestrial endotherms, but changes to herpetofaunal movement are also of concern given their limited dispersal abilities and specialized thermophysiological requirements. Animals in the desert region of the southwestern United States are faced with environmental alterations driven by development (e.g., solar energy facilities) and climate change. Here, we study the movement ecology of a desert species of conservation concern, the Mojave desert tortoise ( Gopherus agassizii). We collected weekly encounter locations of marked desert tortoises during the active (nonhibernation) seasons in 2013–2015, and used those data to discriminate movements among activity centers from those within them. We then modeled the probability of movement among activity centers using a suite of covariates describing characteristics of tortoises, natural and anthropogenic landscape features, vegetation, and weather. Multimodel inference indicated greatest support for a model that included individual tortoise characteristics, landscape features, and weather. After controlling for season, date, age, and sex, we found that desert tortoises were more likely to move among activity centers when they were further from minor roads and in the vicinity of barrier fencing; we also found that movement between activity centers was more common during periods of greater rainfall and during periods where cooler temperatures coincided with lower rainfall. Our findings indicate that landscape alterations and climate change both have the potential to impact movements by desert tortoises during the active season. This study provides an important baseline against which we can detect future changes in tortoise movement behavior.

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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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            The Global Decline of Reptiles, Déjà Vu Amphibians

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              Effects of habitat loss and fragmentation on amphibians: A review and prospectus

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                Author and article information

                Contributors
                brett@csp-inc.org
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                31 July 2017
                September 2017
                : 7
                : 17 ( doiID: 10.1002/ece3.2017.7.issue-17 )
                : 7010-7022
                Affiliations
                [ 1 ] Conservation Science Partners Truckee CA USA
                [ 2 ] Department of Geography University of Nevada Reno NV USA
                [ 3 ] Landscape Conservation Initiative Northern Arizona University Flagstaff AZ USA
                Author notes
                [*] [* ] Correspondence

                Brett G. Dickson, Conservation Science Partners, Truckee, CA, USA.

                Email: brett@ 123456csp-inc.org

                Author information
                http://orcid.org/0000-0003-3191-8167
                Article
                ECE33235
                10.1002/ece3.3235
                5587480
                28904779
                098b8153-61d6-47be-8de9-bf2f9ffebea3
                © 2017 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 25 January 2017
                : 08 June 2017
                : 16 June 2017
                Page count
                Figures: 6, Tables: 2, Pages: 13, Words: 10261
                Funding
                Funded by: NRG Energy Services
                Funded by: Google Inc.
                Funded by: BrightSource Energy
                Categories
                Original Research
                Original Research
                Custom metadata
                2.0
                ece33235
                September 2017
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.1.9 mode:remove_FC converted:06.09.2017

                Evolutionary Biology
                burrows,fencing,gopherus agassizii,movement,solar energy,translocation,weather
                Evolutionary Biology
                burrows, fencing, gopherus agassizii, movement, solar energy, translocation, weather

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