扭转潮流:通过结构方程模型理解河口探测距离变化

IF 2.4 3区 环境科学与生态学 Q2 BIODIVERSITY CONSERVATION
Stijn Bruneel, Jolien Goossens, Jan Reubens, Ine Pauwels, Tom Moens, Peter Goethals, Pieterjan Verhelst
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引用次数: 0

摘要

深入了解声波遥测系统的探测范围对于采样设计和数据解释都至关重要。探测范围高度依赖于环境条件,因此在不同的水生系统之间可能有很大的不同。同样在系统内部,时间变异性也很重要。评估不同系统的探测范围的研究数量一直在增加,尽管在河口生境方面仍然存在知识差距。本研究采用2个月的实验装置,对河口的探测范围变异性和影响环境因素进行了评估。考虑到不同因素的复杂相互作用及其解释的困难,提出了结构方程建模(pSEM)方法。与河流和海洋系统的研究相比,该河口研究的探测范围相对较低且多变(平均50%的探测范围为106米,范围在72至229米之间)。结构方程模型揭示了探测距离变化的清晰而复杂的潮汐模式,该模式主要受水速(通过环境噪声和接收机倾斜)、水深和风速的影响。环境噪声的负面影响和水深的正面影响在距离越远时越明显。环境噪声不仅受水速的影响,还受水深、降水、倾斜角和风速的影响。虽然倾角受流速、水深和风速的影响,但倾角的大部分变化可以追溯到接收位置。同样,接收器的位置似乎解释了探测距离变化的相当一部分。回顾性功效分析表明,对于大多数因素,在超过两天的数据收集后,解释力只有轻微的增加。将一些采样工作转向更广泛的空间测量似乎是一种相关的方式,可以提高对河口环境中遥测系统性能的认识。由于河口低而多变的探测距离会严重妨碍生态推断,因此采用合理采样设计和适当建模技术的距离测试至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Turning the tide: understanding estuarine detection range variability via structural equation models
Abstract Insight into the detection range of acoustic telemetry systems is crucial for both sampling design and data interpretation. The detection range is highly dependent on the environmental conditions and can consequently be substantially different among aquatic systems. Also within systems, temporal variability can be significant. The number of studies to assess the detection range in different systems has been growing, though there remains a knowledge gap in estuarine habitats. In this study, a 2-month experimental set-up was used to assess the detection range variability and affecting environmental factors of an estuary. Given the expected complex interplay of different factors and the difficulties it entails for interpretation, a structural equation modelling (pSEM) approach is proposed. The detection range of this estuarine study was relatively low and variable (average 50% detectability of 106 m and ranging between 72 and 229 m) compared to studies of riverine and marine systems. The structural equation models revealed a clear, yet complex, tidal pattern in detection range variability which was mainly affected by water speed (via ambient noise and tilt of the receivers), water depth and wind speed. The negative effect of ambient noise and positive effect of water depth became more pronounced at larger distances. Ambient noise was not only affected by water speed, but also by water depth, precipitation, tilt angle and wind speed. Although the tilt was affected by water speed, water depth and wind speed, most of the variability in tilt could be traced back to the receiver locations. Similarly, the receiver locations seemed to explain a considerable portion of the detection range variability. Retrospective power analyses indicated that for most factors only a minor gain in explanatory power was achieved after more than two days of data collecting. Redirecting some of the sampling effort towards more spatially extensive measurements seems to be a relevant manner to improve the insights in the performance of telemetry systems in estuarine environments. Since the low and variable detection range in estuaries can seriously hamper ecological inferences, range tests with sound sampling designs and appropriate modelling techniques are paramount.
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来源期刊
Animal Biotelemetry
Animal Biotelemetry Agricultural and Biological Sciences-Animal Science and Zoology
CiteScore
4.20
自引率
11.10%
发文量
33
审稿时长
10 weeks
期刊介绍: Animal Biotelemetry is an open access peer-reviewed journal that publishes the results of studies utilizing telemetric techniques (including biologgers) to understand physiological, behavioural, and ecological mechanisms in a broad range of environments (e.g. terrestrial, freshwater and marine) and taxa. The journal also welcomes descriptions and validations of newly developed tagging techniques and tracking technologies, as well as methods for analyzing telemetric data.
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