Varying coefficients correlated velocity models in complex landscapes with boundaries applied to narwhal responses to noise exposure

Alexandre Delporte, Susanne Ditlevsen, Adeline Samson
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Abstract

Narwhals in the Arctic are increasingly exposed to human activities that can temporarily or permanently threaten their survival by modifying their behavior. We examine GPS data from a population of narwhals exposed to ship and seismic airgun noise during a controlled experiment in 2018 in the Scoresby Sound fjord system in Southeast Greenland. The fjord system has a complex shore line, restricting the behavioral response options for the narwhals to escape the threats. We propose a new continuous-time correlated velocity model with varying coefficients that includes spatial constraints on movement. To assess the sound exposure effect we compare a baseline model for the movement before exposure to a response model for the movement during exposure. Our model, applied to the narwhal data, suggests increased tortuosity of the trajectories as a consequence of the spatial constraints, and further indicates that sound exposure can disturb narwhal motion up to a couple of tens of kilometers. Specifically, we found an increase in velocity and a decrease in the movement persistence.
有边界的复杂地貌中的变化系数相关速度模型应用于独角鲸对噪声暴露的反应
2018年,我们在格陵兰东南部的Scoresby Sound峡湾系统进行了一项受控实验,研究了暴露于船舶和地震气枪噪声的独角鲸种群的GPS数据。该峡湾系统具有复杂的海岸线,限制了独角鲸逃避威胁的行为反应选择。我们提出了一种新的连续时间相关速度模型,该模型具有可变系数,包含对运动的空间限制。为了评估声音暴露效应,我们比较了暴露前运动的基线模型和暴露时运动的响应模型。我们的模型应用于独角鲸的数据,结果表明空间约束增加了轨迹的曲折性,并进一步表明声音暴露对独角鲸运动的干扰可达几十千米。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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