空载运行：根据动物运动数据进行充电动态
Running on empty: Recharge dynamics from animal movement data
摘要：
在种群和群落生态学的研究中，诸如存活率和补充率等生命率一直是重要的。在个人层面上，生理过程，如能量学是理解生物力学和运动生态学的关键，也扩大到影响食物网和营养级联。尽管生命率和种群水平特征与个体水平的动物运动有关，但大多数遥测数据的统计模型都不具备提供有关这些关系的推断的能力，因为它们缺乏与生理动力学的明确的机械联系。我们提出了一个框架建模遥测数据，明确包括一个聚合的生理过程与决策和运动在异构环境中。我们的框架适应广泛的运动和生理过程规范。我们说明了一个特定的模型配方在连续时间提供直接的推论与生理过程的基础上运动的收益和损失。我们的方法也可以扩展到容纳辅助数据时可用。我们展示了我们的模型来推断山狮（在美国科罗拉多州）和非洲水牛（在克鲁格国家公园，南非）充电动态。
英文摘要：
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 modeling 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 (in Colorado, USA) and African buffalo (in Kruger National Park, South Africa) recharge dynamics.
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