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Predicting optimal combinations of by-catch reduction devices in trawl gears: A meta-analytical approach

机译:预测轨道齿轮中逐幅减少装置的最佳组合:荟萃分析方法

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Global efforts to reduce unwanted catches have led to the development of a vast array of by-catch reduction devices (BRDs), in particular for mixed trawl fisheries. Some of these BRDs could likely benefit from being combined. However, the number of possible combinations would be prohibitive to be tested experimentally. Therefore, in this study we propose a meta-analytical approach that combines the data available on BRDs tested independently in a fishery and predict the theoretical selectivity of all possible combinations of those devices. This allows to identify promising BRD combinations, worth experimental investigation and flexible trawl configurations, where the selectivity can be substantially modified by adding or removing one BRD, thus aiding fishermen in adapting to high variability in catch composition and quota availability. To illustrate the approach, we used BRDs developed for the well-studied Nephrops (Nephrops norvegicus, Nephropidae) directed mixed trawl fishery in the Skagerrak and Kattegat seas. We predicted the selectivity of 100 BRD combinations for Nephrops, cod (Gadus morhua, Gadidae) and haddock (Melanogrammus aeglefinus, Gadidae), compared them in terms of absolute selectivity and performance under realistic catch scenarios, from both single- and multispecies perspectives, and identified 15 BRD combinations that could be worth future experimental investigation. The meta-analytical approach makes best use of existing knowledge and leads to new insights about the potential for improvement and flexibility in trawl selectivity. This could benefit a variety of mixed trawl fisheries and help developing a new generation of more flexible gears, with multiple BRDs integrated in their structure.
机译:减少不需要的捕获的全球努力导致了大量的逐幅减少装置(BRD),特别是对于混合拖网渔业。其中一些BRD可能会受益于组合。然而,可能的组合的数量将禁止通过实验测试。因此,在这项研究中,我们提出了一种荟萃分析方法,该方法将可用的数据与渔业独立测试的BRD上可用的数据相结合,并预测这些装置的所有可能组合的理论选择性。这允许识别有价值的BRD组合,值得实验研究和柔性轨道配置,其中通过添加或去除一个BRD可以基本上改变选择性,从而帮助渔民在调整捕获组成和配额可用性方面适应高可变性。为了说明这种方法,我们使用BRD为学习的良好的肾脏(Nephrops Norvegicus,Nephropidae)指导混合拖网渔业在Skagerrak和Kattegat Seas。我们预测了100个BRD组合的肾肾,COD(GADUS MORHUA,GADIDAE)和Haddock(Melanogrogmus Aeglefinus,Gadidae)的选择性,从单一和多数角度来看,它们在绝对选择性和性能下与绝对选择性和性能进行了比较。确定了15个BRD组合,可能是未来的实验调查。元分析方法充分利用现有知识,并导致对拖网选择性提高和灵活性潜力的新见解。这可以使各种混合拖网渔业受益,并帮助开发新一代更灵活的齿轮,其中多个BRD集成在其结构中。

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