从被动声学遥测轨迹重建中推断生态信息可靠性的新方法

IF 6.3 2区 环境科学与生态学 Q1 ECOLOGY Methods in Ecology and Evolution Pub Date : 2024-06-05 DOI:10.1111/2041-210X.14340
Mary E. Bowers, Stephen M. Kajiura
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引用次数: 0

摘要

被动声学遥测技术可用于合作网络,以相对较低的成本追踪远距离迁徙物种。在这里,我们提出了一种新颖的方法组合,用于测量从被动遥测数据的轨迹重建中得出的热点分析结果的可靠性。我们使用一个迭代过程来模拟动物的足迹,从这些足迹中获得探测数据,并使用运动模型从这些获得的数据中重建足迹。然后,我们比较不同网格分辨率下模拟和重建轨迹的四分位计数残差。我们对方法框架进行了详细概述,并在美国东海岸的声学遥测合作阵列上进行了测试。我们的方法适用于在美国东海岸收集的黑鳍鲨(Carcharhinus limbatus)声学遥测探测数据子集。然后,我们将得出的四分点计数应用于热点分析,以确定这些轨迹重建方法得出的动物分布情况。在从佛罗里达州棕榈滩县到纽约州长岛的沿海地区,轨迹重建方法表现良好,最大限度地减少了高密度接收器的集群效应,并缩小了一些缺乏接收器覆盖区域的差距。我们的方法组合展示了一种可对被动遥测数据进行正则化处理的方法,以确定动物在非均匀采样覆盖区域的空间分布。这些方法还能让用户确定遥测阵列中动物分布产品的可靠性,以及有助于实现高精度和高准确度的因素。我们的迭代过程使管理人员能够在决策过程中推断生态结果的可靠性,并可用作差距分析,以制定遥测资产的国家战略。
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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A novel process to infer the reliability of ecological information derived from passive acoustic telemetry track reconstruction

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来源期刊
CiteScore
11.60
自引率
3.00%
发文量
236
审稿时长
4-8 weeks
期刊介绍: A British Ecological Society journal, Methods in Ecology and Evolution (MEE) promotes the development of new methods in ecology and evolution, and facilitates their dissemination and uptake by the research community. MEE brings together papers from previously disparate sub-disciplines to provide a single forum for tracking methodological developments in all areas. MEE publishes methodological papers in any area of ecology and evolution, including: -Phylogenetic analysis -Statistical methods -Conservation & management -Theoretical methods -Practical methods, including lab and field -This list is not exhaustive, and we welcome enquiries about possible submissions. Methods are defined in the widest terms and may be analytical, practical or conceptual. A primary aim of the journal is to maximise the uptake of techniques by the community. We recognise that a major stumbling block in the uptake and application of new methods is the accessibility of methods. For example, users may need computer code, example applications or demonstrations of methods.
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