...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>ICES Journal of Marine Science >Managing fish stocks under climate uncertainty
【24h】

Managing fish stocks under climate uncertainty

机译：在气候不确定性下管理鱼类种群

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The quantitative evaluation of the management of fish stocks under uncertainty requires a formal framework. Decision theory provides that framework. Application of decision theory to fishery management requires information about both the fish stock and the state of the environment. Using Georges Bank haddock as a case study, it is possible to determine the probability of good or poor recruitment using past data and a constant environment. Understanding the state of the environment is more difficult, however, because fixed levels of recruitment, in particular, are associated with different population characteristics, which drastically reduce the sample size for any particular recruitment-environment scenario. Decision theory challenges us to improve our capability of predicting the state of nature, and it appears that this can be accomplished best by reducing the length of the causal chain, a goal now made feasible by the availability of high-resolution, high-frequency ocean models.
机译：在不确定情况下对鱼类种群管理的定量评估需要一个正式的框架。决策理论提供了该框架。决策理论在渔业管理中的应用需要有关鱼类资源和环境状况的信息。以乔治银行黑线码头为例，可以使用过去的数据和恒定的环境来确定招聘的好坏概率。但是，了解环境状态更加困难，因为特别是固定的招聘水平与不同的人口特征相关联，这会极大地减少任何特定招聘环境场景的样本量。决策理论要求我们提高预测自然状态的能力，并且似乎可以通过缩短因果链的长度来最好地实现这一目标，因为高分辨率，高频海洋的可用性现已使这一目标变得可行楷模。

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