Running on empty: recharge dynamics from animal movement data

Hooten, M.B., Scharf, H.R. and Morales, J. M. (2019) Running on empty: recharge dynamics from animal movement data. Ecology Letters, 22(2), pp. 377-389. (doi: 10.1111/ele.13198) (PMID:30548152)

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Vital rates such as survival and recruitment have always been important in the study of population and community ecology. At the individual level, physiological processes such as energetics are critical in understanding biomechanics and movement ecology and also scale up to influence food webs and trophic cascades. Although vital rates and population-level characteristics are tied with individual-level animal movement, most statistical models for telemetry data are not equipped to provide inference about these relationships because they lack the explicit, mechanistic connection to physiological dynamics. We present a framework for modelling telemetry data that explicitly includes an aggregated physiological process associated with decision making and movement in heterogeneous environments. Our framework accommodates a wide range of movement and physiological process specifications. We illustrate a specific model formulation in continuous-time to provide direct inference about gains and losses associated with physiological processes based on movement. Our approach can also be extended to accommodate auxiliary data when available. We demonstrate our model to infer mountain lion (Puma concolor; in Colorado, USA) and African buffalo (Syncerus caffer; in Kruger National Park, South Africa) recharge dynamics.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Morales, Professor Juan
Authors: Hooten, M.B., Scharf, H.R., and Morales, J. M.
College/School:College of Medical Veterinary and Life Sciences > School of Biodiversity, One Health & Veterinary Medicine
Journal Name:Ecology Letters
ISSN (Online):1461-0248
Published Online:09 December 2018

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