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将精细尺度的行为与水力环境联系起来,显示了河流鱼的行为反应

J Elings¹, R Mawer², S Bruneel²

¹Department of Animal Sciences and Aquatic Ecology, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium. jelger.elings@ugent.be.

Movement ecology

|August 7, 2023

概括

了解鱼道附近的鱼类行为是改善迁徙的关键. 空间速度梯度,而不是流速,影响鱼类的运动,有助于鱼道设计,以改善水生生态系统.

科学领域:

水生生态学水生生态学
鱼类学鱼类学鱼类学
水力动力学是指水力动力学.

背景情况:

水建设破坏了鱼类迁徙路线,导致淡水鱼群减少.
现有的渔道往往表现不佳,原因是缺乏对鱼类导航的了解.
精细的追踪技术和隐藏的马尔科夫模型 (HMM) 能够对鱼类行为的详细分析.

研究的目的:

分析鱼类的行为和在障碍物和鱼道附近的导航,使用微量级跟踪数据和HMMs.
将鱼类的行为开关与生态液压环境联系起来,特别是流速和空间速度梯度.
确定影响鱼类移动的关键环境因素,并帮助改进渔道设计.

主要方法:

声学遥测被用于跟踪水电设施和鱼道附近的和灰.
隐藏的马尔科夫模型 (HMM) 适用于跟踪数据,比较步骤长度和直度指数以识别行为状态.
性能最好的HMM被扩展到包括流速和空间速度梯度对行为转变的影响.

主要成果:

直度指数,特别是在10分钟窗口内,在识别行为状态时,对于HMM来说,这是一个比步骤长度更好的参数.
空间速度梯度显著影响了鱼类在鱼道附近的行为开关.
流速对鱼类的行为过渡矩阵没有显著影响.

结论:

鱼在鱼道附近的行为和运动模式受到吸引流的空间速度梯度的影响.
更好地了解鱼类的导航和生态液压反应可以提高渔道的建设和效率.
通过更好的渔道设计,可以减轻迁移障碍对水生生态系统的影响.

关键词:

行为状态是指行为状态.微尺度的声学遥测器.鱼类的迁徙鱼类的迁徙隐藏的马尔科夫建模隐藏的马尔科夫建模水力动力学建模的方法

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