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首页> 外文期刊>ICES Journal of Marine Science >Highly mixed fisheries: fine-scale spatial patterns in retained catches of French fisheries in the Celtic Sea
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Highly mixed fisheries: fine-scale spatial patterns in retained catches of French fisheries in the Celtic Sea

机译：高度混合的渔业：凯尔特海法国渔业保留渔获的精细空间格局

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摘要

Efficiency of mixed-fisheries management and operational implementation of the ecosystem approach to fisheries management rely on the ability to understand and describe the technical and biological interactions between fleets, gears and species. The present study aims to describe fine-scale spatial patterns of the French demersal mixed fisheries in the Celtic Sea and discusses their implications in terms of management. Analysis was made by integrating vessel monitoring systems and logbook data collected between 2010 and 2012 at a 3'*3' spatial scale through the use of principal component analysis followed by hierarchical clustering. It revealed spatial regions defined by a distinct homogeneous composition of retained catches. Each cluster was also described in terms of the fishing activity: vessel length, effort, power and gear used. The analysis revealed a complex spatial structure in the species assemblage caught and suggests that a single situation cannot describe the mixed fisheries of the Celtic Sea, but rather that there are several distinct cases of mixed fisheries. Our results also highlight the limitations of using the current level of data aggregation commonly requested in international data calls to model these fisheries and suggest that improvements should be made to ensure efficient evaluation of management options. Analyses of spatially resolved fisheries data such as the one presented here open a range of potential applications. In the context of the Common Fisheries Policy reform and the landing obligation, comparison of our results with applications of the same methodology to a subset of vulnerable species or to catches of fish below the minimum conservation reference size would help to identify the geographical areas to avoid and assess potential effort reallocation strategies based on groups of target species.
机译：混合渔业管理的效率和渔业管理的生态系统方法的业务实施取决于理解和描述船队，渔具和物种之间的技术和生物相互作用的能力。本研究旨在描述法国凯尔特人海混合渔业的精细空间格局，并讨论其在管理方面的意义。通过使用主成分分析然后进行层次聚类，以3'* 3'的空间规模整合2010年至2012年之间收集的船舶监控系统和日志数据进行分析。它揭示了由截留的捕获物的独特均质组成所定义的空间区域。还根据捕捞活动对每个类别进行了描述：船只的长度，作用力，动力和使用的渔具。分析表明，所捕获物种组合具有复杂的空间结构，并表明单一情况无法描述凯尔特海的混合渔业，但存在几种不同的混合渔业案例。我们的结果还突出显示了使用国际数据通话中通常要求的当前数据汇总水平对这些渔业进行建模的局限性，并建议应进行改进以确保对管理方案进行有效评估。对空间分辨的渔业数据的分析（例如此处介绍的分析）打开了一系列潜在的应用领域。在共同渔业政策改革和着陆义务的背景下，将我们的结果与应用同一方法对一小部分脆弱物种或低于最小保护参考标准的鱼的捕捞进行比较，将有助于确定应避免的地理区域并根据目标物种组评估潜在的工作量重新分配策略。

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