关键词：
秘鲁鳀;海洋环境;资源变动;秘鲁上升流;气候变化
摘 要：
秘鲁鳀(Engraulis ringens)是一种小型中上层鱼类。作为重要的商业性鱼类之一,秘鲁鳀的捕捞产业曾形成了世界上最大的单鱼种渔业,但其产量的年间差异非常大,上升流流场结构变化是其产量变化的重要影响因素。上升流对秘鲁鳀捕捞量的作用机制可归纳为低纬度的地理位置、适宜的水温结构、低溶解氧、高能量传递效率的食物网以及复杂的海洋环境要素变化五个方面。秘鲁鳀渔业生物学的多个方面都显著地受到了海洋环境变化的影响。此外,与气候相关的大尺度海洋生态系统周期性变化(regime shift)也影响到了秘鲁鳀的资源变动。本研究认为,今后在加强对长时间尺度生态系统周期性变化的研究同时,也应注重结合海洋环境变化、捕捞因素及种群的内部动力过程这三者之间的关系,结合基于个体的海洋动力学,建立秘鲁鳀资源评估及预测的模型,为合理开发和管理提供基础。
译 名：
Review on relationship between oceanic environment factors and population dynamics of anchoveta Engraulis ringens
作 者：
CHEN Peng;WANG Jin-tao;CHEN Xin-jun;College of Marine Sciences of Shanghai Ocean University;Collaborative Innovation Center for Distant-water Fisheries;National Distant-water Fisheries Engineering Research Center,Shanghai Ocean University;Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources,Ministry of Education,Shanghai Ocean University;
关键词：
anchoveta(Engraulis ringens);;oceanic environment;;population dynamics;;Peru upwelling;;climate change
摘 要：
Anchoveta( Engraulis ringens) is a small pelagic fish. As an important commercial fish,fishing of this species has been the world 's largest single fish fishery. However,the catch of anchoveta shows big annual differences. The mechanisms of this yield and Peru upwelling where the fish habitat can be summarized by these five aspects:( 1) low latitude geographical position of Peru upwelling;( 2) suitable water temperature structure;( 3) low dissolved oxygen in ocean;( 4) high energy transfer efficiency in food web;( 5) complex changes of oceanic environment factors. Oceanic environment has significant effects on the anchoveta fishery biology in many ways. In addition,the regime shift of ocean ecosystem relating to the climate can also influence the anchoveta population dynamics. We suggest that the future studies should highlight the regime shifts with the long temporal scale. At the same time,we should focus on integrating the environment changes,fishing factors,population dynamics and their internal connecting links so that we can build the valid stock assessment or forecast model to give theoretical basis for the sustainable utilization and management of anchoveta.
