...
首页> 外文期刊>ICES Journal of Marine Science >A two-stage biomass dynamic model for Bay of Biscay anchovy: a Bayesian approach
【24h】

A two-stage biomass dynamic model for Bay of Biscay anchovy: a Bayesian approach

机译:比斯开湾an鱼的两阶段生物量动力学模型:贝叶斯方法

获取原文
获取原文并翻译 | 示例
           

摘要

A two-stage biomass-based state-space model with stochastic recruitment processes and deterministic dynamics was developed for the Bay of Biscay anchovy population. It is fitted in a Bayesian context with posterior computations carried out using Markov chain Monte Carlo techniques. The model is tested first on a simulated dataset and the effects of different modelling assumptions and of missing values evaluated. Then, it is applied to a real historical series of commercial catch and survey data from 1987 to 2006. Results are compared with those obtained by the standard assessment model for this stock, integrated catch-at-age analysis (ICA). From the posterior distribution of biomass in the latest year (2006), the distribution of unexploited biomass in 2007 can be derived assuming the distribution of recruitment in 2007 to be a mixture of the posterior distributions of past series recruitment. Hence, the effect of different catch options on future biomass levels can be quantified in probabilistic terms. Finally, directions for possible further improvements are indicated.
机译:为比斯开湾an鱼种群开发了一个基于两阶段的,基于生物量的状态空间模型,该模型具有随机的募集过程和确定性动力学。它通过使用马尔可夫链蒙特卡洛技术进行的后验计算在贝叶斯环境中进行拟合。首先在模拟数据集上测试模型,然后评估不同建模假设和缺失值的影响。然后,将其应用于1987年至2006年的真实历史系列商业性捕捞和调查数据。将结果与通过该种群的标准评估模型,综合捕捞年龄分析(ICA)获得的结果进行比较。从最近一年(2006年)的生物量后验分布中,假设2007年的招聘分布是过去系列招聘的后验分布的混合,则可以得出2007年未开发生物质的分布。因此,不同捕获量对未来生物量水平的影响可以用概率来量化。最后,指出了可能进一步改进的方向。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号