...
  • 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 >Impacts of seasonal stock mixing on the assessment of Atlantic cod in the Gulf of Maine
【24h】

Impacts of seasonal stock mixing on the assessment of Atlantic cod in the Gulf of Maine

机译：季节性种群混合对缅因湾大西洋鳕鱼评估的影响

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

Atlantic cod (Gadus morhua) in the Northwest Atlantic off New England and southern Atlantic Canada exhibit a complex population structure. This region has three independently assessed stocks [Georges Bank, Gulf of Maine (GOM), and the 4X stock], all of which are known to mix with each other. Assessments of these stocks, however, assume no interpopulation mixing Using simulations, we evaluated impacts of ignoring mixing resulting from seasonal migrations on the GOM assessment. The dynamics of the three stocks were simulated according to different scenarios of interstock mixing and a statistical catch-at-age stock assessment model was fitted to the simulated GOM data with and without mixing The results suggest that, while mixing causes measurable bias in the assessment, under the conditions tested, this model still performed well. Of the bias that does exist, spawning-stock biomass estimates are relatively sensitive to mixing compared with estimates of recruitment and exploitation rate. The relative timing of seasonal migration of the three stocks plays a critical role in determining the magnitude of bias. The scale and trends among years in the bias were driven by how representative the catch and survey data were for the GOM stock; this representation changed with the mixing rates.
机译：新英格兰西北大西洋和加拿大南部大西洋的大西洋鳕（Gadus morhua）表现出复杂的种群结构。该地区有三只经过独立评估的股票[乔治银行，缅因州海湾（GOM）和4倍股票]，众所周知它们都是相互混合的。但是，对这些种群的评估假设没有种群间混合。使用模拟，我们评估了忽略季节性迁移导致的混合对GOM评估的影响。根据股票间混合的不同情况对三种股票的动态进行了模拟，并在有和没有混合的情况下，对模拟的GOM数据拟合了统计的成年捕捞股票评估模型。结果表明，尽管混合会导致评估中出现可衡量的偏差，在测试条件下，该模型仍然表现良好。在存在的偏见中，与补充和利用率的估计相比，产卵生物量的估计对混合相对敏感。这三只股票的季节性迁徙的相对时间在确定偏差的大小方面起着关键作用。偏差中各年份之间的规模和趋势是由GOM库存的捕获量和调查数据的代表性决定的。该表示随着混合速率而改变。

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