Suppr超能文献

基于被动声学遥测数据的栖息地和空间利用估计方法。

Residency and space use estimation methods based on passive acoustic telemetry data.

作者信息

Kraft S, Gandra M, Lennox R J, Mourier J, Winkler A C, Abecasis D

机构信息

Center of Marine Sciences (CCMAR), Universidade do Algarve, Faro, Portugal.

Laboratory for Freshwater Ecology and Inland Fisheries at NORCE Norwegian Research Center, Bergen, Norway.

出版信息

Mov Ecol. 2023 Mar 1;11(1):12. doi: 10.1186/s40462-022-00364-z.

Abstract

Acoustic telemetry has helped overcome many of the challenges faced when studying the movement ecology of aquatic species, allowing to obtain unprecedented amounts of data. This has made it into one of the most widely used methods nowadays. Many ways to analyse acoustic telemetry data have been made available and deciding on how to analyse the data requires considering the type of research objectives, relevant properties of the data (e.g., resolution, study design, equipment), habits of the study species, researcher experience, among others. To ease this decision process, here we showcase (1) some of the methods used to estimate pseudo-positions and positions from raw acoustic telemetry data, (2) methods to estimate residency and (3) methods to estimate two-dimensional home and occurrence range using geometric or hull-based methods and density-distribution methods, a network-based approach, and three-dimensional methods. We provide examples of some of these were tested using a sample of real data. With this we intend to provide the necessary background for the selection of the method(s) that better fit specific research objectives when using acoustic telemetry.

摘要

声学遥测技术有助于克服在研究水生物种运动生态学过程中面临的诸多挑战,从而能够获取前所未有的大量数据。这使其成为当今使用最为广泛的方法之一。目前已有多种分析声学遥测数据的方法,而决定如何分析数据需要考虑研究目标的类型、数据的相关属性(如分辨率、研究设计、设备)、研究物种的习性、研究人员的经验等因素。为了简化这一决策过程,在此我们展示:(1)一些用于从原始声学遥测数据估计伪位置和位置的方法;(2)估计居留情况的方法;(3)使用基于几何或包络的方法、密度分布方法、基于网络的方法以及三维方法来估计二维栖息地和出现范围的方法。我们提供了一些使用真实数据样本对其中部分方法进行测试的示例。借此,我们旨在为在使用声学遥测技术时选择最适合特定研究目标的方法提供必要的背景知识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3143/9976422/fed0279fa5fc/40462_2022_364_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验