中国海洋一般中上层经济鱼类生物学研究的回顾与前瞻  被引量:6

Review and prospect of biological study on common marine pelagic commercial fishes in China

在线阅读下载全文

作  者:李建生[1] 张其永[2] 郑元甲[1] 洪万树[2] 

机构地区:[1]中国水产科学研究院东海水产研究所、农业部东海与远洋渔业资源开发利用重点实验室,上海200090 [2]厦门大学海洋与地球学院,福建厦门361005

出  处:《海洋渔业》2014年第6期565-575,共11页Marine Fisheries

基  金:国家公益性行业(农业)科研专项经费项目(201303047)

摘  要:中国海洋一般中上层经济鱼类种类繁多,大多为r选择型或由K选择型演变为r选择型,资源更新速度较快、可持续利用的前景较为广阔,在中国海洋捕捞业产量中的比重呈上升趋势。本文综述了中国海洋一般中上层经济鱼类的渔业发展概况,着重介绍了鳓(Ilisha elongata)、灰鲳(Pampus cinereus)、竹鱼(Trachurus japonicus)、金色小沙丁鱼(Sardinella aurita)、黄海鲱(Clupea harengus pallasi)和黄鲫(Setipinna taty)等6种主要种类资源生物学的研究进展,概述了这些种类的种群鉴别和划分、洄游分布、越冬场、产卵场及其产卵期、年龄和生长、摄食习性、生殖力和群体结构变动,以及其资源量和可捕量的评估,同时展望了其资源生物学研究的前景并提出了前瞻性建议。A great variety of common marine pelagic commercial fishes inhabit in China' s seawaters, and most of them belong to r - selection of life history pattern or r - selection of life histol7 pattern evolving from K - selection of life history pattern. The resources of common marine pelagic commercial fishes recover faster and possess vast potential for future utilization. The proportion of common marine pelagic commercial fishes show upward trend in marine fishing production in China. Development of common marine pelagic fisheries in China is reviewed in this paper, particularly with regard to biological research progress in the six main species, llisha elongata, Pampus cinereus, Trachurus japonicus, Sardiuella aurita, Clupea hareugus pallasi and Setipinna taty. The population identification and classification, migration and distribution, wintering ground, spawning ground and period, age and growth, feeding habits, fecundity and dynamic stock structure of the six species as well as their biomass and total allowable catches are outlined. Meanwhile, future study on their resource biology is also discussed and prospected.

关 键 词:中国海域 一般中上层经济鱼类 资源生物学 回顾 前瞻 

分 类 号:S917.4[农业科学—水产科学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象