An integrative modelling framework for passive acoustic telemetry
An integrative modelling framework for passive acoustic telemetry
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DOI：
10.1111/2041-210x.14193
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发表时间：
2023-08-10
影响因子：
6.6
通讯作者：
Smout，Sophie
中科院分区：
文献类型：
--
作者：
Lavender，Edward;Biber，Stanislaw;Smout，Sophie
被动声遥测技术被广泛应用于研究水生动物的运动。然而，一个整体的，机械的建模框架，允许重建精细尺度的运动和空间使用的新兴模式，从检测接收器仍然缺乏。在这里，我们介绍了一个综合的建模框架，概括的运动和检测过程，产生检测，以重建精细尺度的运动和空间使用模式。该框架由一系列新的算法支持，这些算法专为检测和深度观测而设计，并且可以灵活地扩展以包含其他数据类型。使用模拟，我们说明了我们的框架的应用程序，并在不同的设置评估算法的效用和灵敏度。作为一个案例研究，我们分析了从苏格兰极度濒危的舌形滑冰（Dipturus intermedius）收集的运动数据。我们表明，我们的方法可以用来重建精细尺度的运动路径，空间利用模式和支持栖息地偏好分析。对于重建空间使用模式，模拟表明，该方法始终比最广泛使用的替代方法（平均位置算法）更具指导性，特别是在集群接收器阵列中。对于flapper skate，运动的重建揭示了对干扰的响应，细尺度空间划分和空间使用模式，对海洋管理具有重要意义，我们得出结论，该框架代表了广泛适用的方法学进步，可应用于多个时空尺度上的远洋，底层和底栖物种的研究。
Passive acoustic telemetry is widely used to study the movements of aquatic animals. However, a holistic, mechanistic modelling framework that permits the reconstruction of fine‐scale movements and emergent patterns of space use from detections at receivers remains lacking.Here, we introduce an integrative modelling framework that recapitulates the movement and detection processes that generate detections to reconstruct fine‐scale movements and patterns of space use. This framework is supported by a new family of algorithms designed for detection and depth observations and can be flexibly extended to incorporate other data types. Using simulation, we illustrate applications of our framework and evaluate algorithm utility and sensitivity in different settings. As a case study, we analyse movement data collected from the Critically Endangered flapper skate (Dipturus intermedius) in Scotland.We show that our methods can be used to reconstruct fine‐scale movement paths, patterns of space use and support habitat preference analyses. For reconstructing patterns of space use, simulations show that the methods are consistently more instructive than the most widely used alternative approach (the mean‐position algorithm), particularly in clustered receiver arrays. For flapper skate, the reconstruction of movements reveals responses to disturbance, fine‐scale spatial partitioning and patterns of space use with significant implications for marine management.We conclude that this framework represents a widely applicable methodological advance with applications to studies of pelagic, demersal and benthic species across multiple spatiotemporal scales.