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Spawner-Recruit Relationships of Demersal Marine Fishes: Prior Distribution of Steepness

机译:海水鱼类的Spawner与新兵关系:陡度的先验分布

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Stock assessments use spawner-recruit functions to relate the reproductive capacity of a stock (e.g., total fecundity) to subsequent recruitment. The Beverton-Holt spawner-recruit function, perhaps the most widely used, is conventionally parameterized using a “steepness” parameter that describes the stock's productivity. This parameter highly influences predicted population dynamics and responses to exploitation. Unfortunately, steepness can also be difficult to estimate reliably from data typical of stock assessments. In such cases, estimation can be improved by drawing inference from other stocks with similar life-history patterns. In particular, Bayesian prior distributions can formally be incorporated into stock assessments to inform estimation of steepness. In the present study, we used a meta-analytic approach to compute a prior distribution of steepness, focusing on marine demersal fishes. We similarly computed a prior distribution of maximum lifetime reproductive rate, a parameter inextricably related to steepness. In addition, we tested relationships between steepness and two life-history parameters linked to longevity—natural mortality and age at maturity—to examine the common assumption that long-lived, “K-selected” species have lower steepness values. In neither case was steepness significantly related to the life-history parameter. Our results should be directly applicable in stock assessments that apply the Beverton-Holt (or Ricker) function to marine demersal fishes, such as reef-associated species of the southeast United States in Atlantic, Caribbean, and Gulf of Mexico waters.
机译:种群评估使用产卵者招募功能将种群的繁殖能力(例如总繁殖力)与随后的征募联系起来。 Beverton-Holt产卵者招募功能(可能是使用最广泛的功能)通常使用描述种群生产力的“陡度”参数进行参数设置。该参数极大地影响了预测的人口动态和对开发的响应。不幸的是,从股票评估的典型数据中也很难可靠地估计陡度。在这种情况下,可以通过从具有相似生命历史模式的其他股票中得出推断来改进估计。特别是,贝叶斯先验分布可以正式纳入股票评估,以提供对陡度的估计。在本研究中,我们使用了荟萃分析方法来计算陡度的先验分布,重点是海洋沉没鱼类。我们类似地计算了最大寿命繁殖率的先验分布,这是与陡度密不可分的一个参数。此外,我们测试了陡度与两个与寿命相关的寿命历史参数之间的关系,即自然死亡率和成熟年龄,以检验普遍的假设,即寿命长的“ K选择”物种的陡度值较低。在这两种情况下,陡度都与寿命历史参数没有明显关系。我们的结果应直接适用于将贝弗顿-霍尔特(或里克尔)功能应用于海洋沉没鱼类的种群评估,例如大西洋,加勒比海和墨西哥湾水域的美国东南部与珊瑚礁相关的物种。

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