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胶州湾大型底栖动物数量动态的研究
引用本文:李新正,于海燕,王永强,帅连梅,张宝琳,李笑红.胶州湾大型底栖动物数量动态的研究[J].海洋科学集刊,2002(44):66-73.
作者姓名:李新正  于海燕  王永强  帅连梅  张宝琳  李笑红
作者单位:中国科学院海洋研究所
基金项目:中国科学院海洋研究所调查研究报告第4109号。中国科学院“九五”重点项目(KZ952-S1-429)和“十五”973项目课题(G1999043709)资助。
摘    要:胶州湾大型底栖动物数量丰富、种类繁多、组成复杂。因此,对其数量动态研究为渔业资源补充和可持续利用及对海洋生态的研究都有重要意义。中国科学院海洋研究所在1980-1990年对胶州湾进行了连续长达10年的底栖生物调查,取得了大量的宝贵资料,并发表了许多论文(刘瑞玉等,1992;孙滨等,1992;孙道元等,1990;吴耀泉等,1992;崔玉珩等,1994)。孙道元等于1991年5月-1994年2月对胶州湾10个生物监测站的底栖生物作了进一步采泥取祥调查(孙道元等,1995,1996)。为了比较多年来胶州湾底栖生物的数量动态变化,作者又在这些工作的基础上,于1998年2月-1999年11月对原设的10个生物监测站(图1)做了8个季度月的大型底栖动物采泥取样调查,对种类组成、数量变动等作了进一步研究。

关 键 词:胶州湾  大型底栖生物  动态变化
收稿时间:2000/12/25 0:00:00

STUDY ON THE QUANTITATIVE DYNAMICS OF MACROBENTHOS IN JIAOZHOU BAY
Li Xinzheng,Yu Haiyan,Wang Yongqiang,Shuai Lianmei,Zhang Baolin,Li Xiaohong.STUDY ON THE QUANTITATIVE DYNAMICS OF MACROBENTHOS IN JIAOZHOU BAY[J].Studia Marina Sinica,2002(44):66-73.
Authors:Li Xinzheng  Yu Haiyan  Wang Yongqiang  Shuai Lianmei  Zhang Baolin  Li Xiaohong
Institution:Institute of Oceanology, Chinese Academy of Sciences
Abstract:This paper reports the quantitative dynamics of macrobenthic fauna in JiaoZhou Bay. The materials studied were collected seasonally from 10 stations in the period from February 1998 to November 1999. Among the 195 species of macrobenthic fauna collected, 79 were Polychaeta species, 39 were Mollusca species, 52 were Crustacea species, 8 were Echinodermata species, 17 were species of all other groups. The average total biomass was 151.18g/m2 and total density was 386.3 ind./m2 which were twice and 2.9 times that of 5 years ago respectively. The highest biomass occurred in autumn, being 240.32 g/m2, and the lowest biomass was in spring, being 62.97g/m2, while the highest biomass occurred in spring and the lowest biomass in winter 5 years ago. The highest density was in spring, being 515.10 ind./m2, and the lowest density was in summer, being 270.75 ind./m2, while the highest density was in summer and lowest density in autumn of 5 years ago. Mollusca and Polychaeta were the key contributors to biomass and density respectively.
Keywords:
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