首页> 外文期刊>Fisheries Research >Low frequency variability of fishing resources, climate, and ocean
【24h】

Low frequency variability of fishing resources, climate, and ocean

机译:捕捞资源,气候和海洋的低频变化

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

The apparently synchronous variation of fisheries catch time-series at the decadal scale, mainly from the Pacific Ocean and parts of the Atlantic, as well as their empirical relationship to climatic fluctuations, permits assuming the existence of global scale processes forcing the abundance of the fisheries resources. Given its relevance for management, we conducted an exploratory analysis of the variability of catch of the world's main fisheries and their possible relationship to the environmental changes of the ocean and atmosphere. The FAO database for 1950-2000 was used to obtain landing time-series. Three hundred and sixty-one catch-series were selected, taking in account their historical average and the unequivocal identity of the target species; 131 from the Pacific, 191 from the Atlantic, and 39 from the Indian Ocean. The patterns of variation were identified by using two methods of cluster analysis: tree clustering and K-means. Three patterns were identified, for both the Pacific and Atlantic and only two for the Indian Ocean. Principal components analysis of 12 climatic indexes permitted recognizing three main modes, corresponding mostly to the tropical Pacific, extratropical Pacific, and Atlantic Oceans. An analysis of the long-term variation showed a dominant pattern over the 50-year period, that has been related as the remote synchrony hypothesis fish marine catch.
机译:渔业在十年尺度上的明显同步变化,捕获的时间序列主要来自太平洋和大西洋的部分地区,以及它们与气候波动的经验关系,这可以假设存在强迫渔业丰富的全球规模过程。资源。鉴于其与管理的相关性,我们对世界主要渔业产量的变化及其与海洋和大气环境变化的可能关系进行了探索性分析。粮农组织1950-2000年的数据库用于获得登陆时间序列。考虑到它们的历史平均水平和目标物种的明确性,选择了361个捕获系列。来自太平洋的131,来自大西洋的191和来自印度洋的39。通过使用两种聚类分析方法来识别变异模式:树聚类和K均值。太平洋和大西洋都确定了三种模式,印度洋只有两种模式。通过对12种气候指数的主成分分析,可以识别出三种主要模式,这些模式主要对应于热带太平洋,温带太平洋和大西洋。对长期变化的分析显示了50年期间的主导模式,这与远程同步假设鱼类海洋捕捞有关。

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