Abstract Knowledge of life history characteristics in marine fishes, including natural mortality, somatic growth, maturity schedule, productivity and others, is essential for successful management and long-term sustainability of marine resources. Patterns exist among these traits within and among taxa to maximize individual fitness and offspring survival, and trade-offs are typical. In this study, we examined life history data from 42 fishery stocks in the Northeast Pacific Ocean using principal component analysis (PCA) and clustering techniques. We identified discrete clustering patterns of stocks corresponding to ecological, taxonomic, and management criteria. Our results revealed additional resolution for complex structure among stocks based on combinations of life history traits, well beyond what was described before, for the diverse group of Sebastes rockfish, which have not been examined in this context previously. One example is clear differentiation between Sebastes demersal species, and those caught with midwater gear, particularly with addition of stock-specific fecundity data; another is bocaccio rockfish, whose life history patterns our results shed new light on. Our results also provide an empirical basis for grouping stocks in meta-analytic studies, which are often used to inform unknown or difficult to estimate parameters in stock assessment. Our results supported important core aspects of previous studies, and rectified others, among a wide range of stocks including highly migratory, coastal pelagic and groundfish stocks. They also reinforce fishery management strategies grounded in life history, among stocks in the Northeast Pacific Ocean and around the world.

中文翻译：

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解决东北太平洋海洋鱼类种群生活史参数的关联模式

摘要 了解海洋鱼类的生活史特征，包括自然死亡率、体细胞生长、成熟期、生产力等，对于海洋资源的成功管理和长期可持续性至关重要。这些特征之间存在模式，以最大限度地提高个体适应度和后代存活率，权衡是典型的。在这项研究中，我们使用主成分分析 (PCA) 和聚类技术检查了东北太平洋 42 种渔业种群的生活史数据。我们确定了与生态、分类和管理标准相对应的种群的离散聚类模式。我们的结果揭示了基于生活史特征组合的股票之间复杂结构的额外分辨率，远远超出了之前的描述，对于 Sebastes 石斑鱼的不同群体，以前没有在这方面进行过研究。一个例子是 Sebastes 底层物种与使用中水渔具捕获的物种之间的明显区别，特别是添加了特定种群的繁殖力数据；另一个是 bocaccio 岩鱼，我们的研究结果揭示了它的生活史模式。我们的结果还为元分析研究中的股票分组提供了经验基础，这些研究通常用于告知未知或难以估计的股票评估参数。我们的结果支持了先前研究的重要核心方面，并纠正了其他方面，包括高度洄游、沿海中上层鱼类和底层鱼类种群。他们还加强了以生活史为基础的渔业管理战略，