...
  • 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 >Integrating data from multiple surveys and accounting for spatio-temporal correlation to index the abundance of juvenile Pacific halibut in Alaska
【24h】

Integrating data from multiple surveys and accounting for spatio-temporal correlation to index the abundance of juvenile Pacific halibut in Alaska

机译：整合来自多个调查的数据并考虑时空相关性，以索引阿拉斯加的太平洋少年大比目鱼的数量

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

Survey indices of abundance are one of the main sources of information used in fish stock assessment. Many regions around the world, including the United States and Europe, develop survey protocols to aid in creating these indices. As ecosystems function as a continuum across borders, there is a need to develop a standardized framework for combining information across surveys. Such methods could help resolve differences in timing, spatial coverage, catchability, and selectivity among surveys. We present a method that uses survey data by length class. These data come from several regional surveys each with differing sampling designs, spatial and temporal coverage, and sampling gear. The method accounts for the spatio-temporal correlation structure in length-specific catch rates and occurrence, and allows for differences in catchability and selectivity among regions. The approach was applied to Pacific halibut (Hippoglossus stenolepis) in Alaska, a broadly distributed species for which there is considerable uncertainty in recent recruitment estimates. Results confirm the major recruitment event of 1987 recorded in the most recent stock assessment and also detected recruitment peaks in more recent years (1998 and 2004-2005). The signal seems to be mostly related to the Eastern Bering Sea shelf survey data. The approach introduced in this study is general and could be expanded to other regions and species where standardized survey data are collected that include extensive length and/or age measurements.
机译：丰度调查指数是鱼类种群评估中使用的主要信息来源之一。世界上许多地区，包括美国和欧洲，都制定了调查协议以帮助创建这些指数。由于生态系统是跨边界的连续体，因此有必要开发一个标准化框架以结合跨调查的信息。这样的方法可以帮助解决时间，空间覆盖范围，可捕获性和调查选择性之间的差异。我们提出一种使用按长度分类的调查数据的方法。这些数据来自几个区域调查，每个区域调查都有不同的抽样设计，时空覆盖范围和抽样工具。该方法考虑了特定长度的捕获率和发生的时空相关结构，并允许区域之间的可捕获性和选择性上的差异。该方法已应用于阿拉斯加的太平洋大比目鱼（Hippoglossus stenolepis），这是一种分布较广的物种，其近期招聘估计存在很大的不确定性。结果证实了最近一次库存评估中记录的1987年主要招聘事件，并且在最近几年（1998年和2004-2005年）也发现了招聘高峰。该信号似乎主要与白令海东部陆架调查数据有关。这项研究中引入的方法是通用的，可以扩展到其他区域和物种，在这些区域和物种中收集标准化的调查数据，包括广泛的长度和/或年龄测量。

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