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Conceptual and practical advances in fish stock delineation Preface

机译:鱼类种群划分的概念和实践进展前言

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The fish stock delineation concept has now evolved informed by knowledge affordable from a variety of new genetic and geochemical life cycle tracers in addition to traditional morphometric, parasitological and life history trait approaches. These can be coupled with better definition of oceanographic processes enhanced by GIS-related modelling tools. Population structure and stock delineation are central considerations for scientific assessment and strategic management in Fishery Sciences and have to be addressed from a meta-population perspective where complementary technical approaches meet to enable the best resolving power. Evaluation of analytical tools allows assessing the minimum amount of information needed to properly delineate stock units. Single technical approaches are insufficient to delineate complex stock structures. There is a need to harness the full power of complementary and synergistic interdisciplinary approaches and tools; such an approach remains underused. In this special issue we consider scientific and technical advances in some research disciplines pertinent in fish stock delineation (i.e. Genetics, Ecology, Parasitology, Chemistry, Oceanography, Mathematics and Economics). In this introductory chapter we identify modelling challenges and research needs required to improve fishery assessment and management efficiency by better delineation of stocks. (C) 2015 Published by Elsevier B.V.
机译:除了传统的形态学,寄生虫学和生活史特征方法外,鱼类种群描述概念现在已经从各种新型遗传和地球化学生命周期示踪剂可负担得起的知识中得到发展。这些可以与通过GIS相关建模工具增强的海洋学过程的更好定义结合在一起。人口结构和种群划界是渔业科学中科学评估和战略管理的主要考虑因素,必须从元人口的角度加以解决,在此,补充性的技术方法必须结合起来才能实现最佳的解决能力。通过评估分析工具,可以评估正确描绘库存单位所需的最少信息量。单一的技术方法不足以描述复杂的库存结构。需要利用互补和协同的跨学科方法和工具的全部力量;这种方法仍然没有得到充分利用。在本期特刊中,我们考虑了与鱼类种群划分有关的某些研究学科的科学和技术进步(即遗传学,生态学,寄生虫学,化学,海洋学,数学和经济学)。在本介绍性章节中,我们确定了建模挑战和研究需求,以通过更好地划分种群来提高渔业评估和管理效率。 (C)2015由Elsevier B.V.发布

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