首页> 美国卫生研究院文献>Proceedings of the Royal Society B: Biological Sciences >Integrative modelling of animal movement: incorporating in situ habitat and behavioural information for a migratory marine predator
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Integrative modelling of animal movement: incorporating in situ habitat and behavioural information for a migratory marine predator

机译:动物运动的综合模型:为迁徙的海洋捕食者纳入原地栖息地和行为信息

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摘要

A fundamental goal in animal ecology is to quantify how environmental (and other) factors influence individual movement, as this is key to understanding responsiveness of populations to future change. However, quantitative interpretation of individual-based telemetry data is hampered by the complexity of, and error within, these multi-dimensional data. Here, we present an integrative hierarchical Bayesian state-space modelling approach where, for the first time, the mechanistic process model for the movement state of animals directly incorporates both environmental and other behavioural information, and observation and process model parameters are estimated within a single model. When applied to a migratory marine predator, the southern elephant seal (Mirounga leonina), we find the switch from directed to resident movement state was associated with colder water temperatures, relatively short dive bottom time and rapid descent rates. The approach presented here can have widespread utility for quantifying movement–behaviour (diving or other)–environment relationships across species and systems.
机译:动物生态学的基本目标是量化环境(及其他)因素如何影响个体运动,因为这是了解种群对未来变化的响应能力的关键。但是,基于个人的遥测数据的定量解释受到这些多维数据的复杂性和内部错误的阻碍。在这里,我们提出了一种集成的分层贝叶斯状态空间建模方法,该方法首次将动物运动状态的机械过程模型直接结合了环境信息和其他行为信息,并且在单个视图中估计了观察和过程模型参数模型。当将其用于迁徙性海洋捕食者,南部象海豹(Mirounga leonina)时,我们发现从定向运动向居民运动状态的转换与水温较低,潜水时间相对较短和下降速度较快有关。此处介绍的方法可用于量化物种和系统之间的运动-行为(潜水或其他)-环境关系。

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