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首页> 外文期刊>ICES Journal of Marine Science >The fuzzy relationship between trawl and acoustic surveys in the North Sea
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The fuzzy relationship between trawl and acoustic surveys in the North Sea

机译：北海拖网与声学测量之间的模糊关系

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Adding information on the horizontal and vertical distribution of fish both on and between trawl stations is reason enough to perform acoustic surveys routinely in tandem with annual groundfish trawl surveys. Ideally, acoustic and trawl density indices could be combined to maximize information on fish distribution and provide more reliable estimates of stock size. The core of the problem boils down to the question: "how does what we see on an echosounder relate to what we catch in a net?" The fuzzy logic "model-free estimation" approach presented here sidesteps the need to understand specific mechanisms that determine the nature and variability of any relationship between acoustics and trawl catches. Fuzzy logic models that describe and predict the relationship linking acoustics and environmental variables (inputs) with trawl catches (output) are developed, and the sensitivities and robustness of the approach are discussed. In the models examined, the static environmental variables location and depth proved to be better predictors of trawl catches in the North Sea than the acoustic energy in the first 5 m off the bottom. We suggest that finding the "hidden" relationship between acoustics and trawls will require closer attention to partitioning the acoustics data by species/assemblages and understanding the key gear and behavioural differences responsible for producing the high between-gear variability.
机译：添加有关拖网站点上和拖网站点之间鱼的水平和垂直分布信息的理由足以与例行的每年底层拖网调查一起常规进行声学调查。理想情况下，可以将声学和拖网密度指数结合起来，以最大程度地了解鱼类分布并提供更可靠的种群估计。问题的核心归结为一个问题：“我们在回声测深仪上看到的东西与我们在网上捕获的东西有什么关系？”这里介绍的模糊逻辑“无模型估计”方法避开了理解确定声音和拖网捕获物之间任何关系的性质和可变性的特定机制的需求。建立了描述和预测将声学和环境变量（输入）与拖网渔获量（输出）联系起来的关系的模糊逻辑模型，并讨论了该方法的敏感性和鲁棒性。在所研究的模型中，静态环境变量的位置和深度被证明比在距海底前5 m的声能更好地预测拖网捕捞。我们建议，要找到声学和拖网之间的“隐藏”关系，就需要更密切地注意按种类/组合对声学数据进行分区，并了解造成齿轮间高变异性的关键齿轮和行为差异。

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