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春季黄海WP2型网采浮游动物的群落特征
引用本文:雷发灿,李雨苑,刘光兴,庄昀筠,陈洪举.春季黄海WP2型网采浮游动物的群落特征[J].海洋环境科学,2020,39(4):585-592, 599.
作者姓名:雷发灿  李雨苑  刘光兴  庄昀筠  陈洪举
作者单位:1.中国海洋大学 海洋环境与生态教育部重点实验室,山东 青岛 266100
基金项目:国家自然科学基金;国家重点研发计划
摘    要:利用WP2型浮游生物网于2012年5月在黄海采集浮游动物样品,分析了该海域浮游动物的种类组成、丰度、优势种,并结合环境因素分析了浮游动物的群落特征。研究海域共记录浮游动物成体65种,浮游幼虫27类。浮游动物平均丰度(不含夜光虫(Noctiluca scintillans))为(8109.5±7585.0) ind./m3。与大型浮游生物网网采数据相比,WP2型网采浮游动物平均丰度约高1个数量级。优势种以小粒径浮游动物为主,主要包括夜光虫、拟长腹剑水蚤(Oithona similis)、腹针胸刺水蚤(Centropages abdominalis)、小拟哲水蚤(Paracalanus parvus)、克氏纺锤水蚤(Acartia clausi)、桡足类无节幼虫(copepod nauplii)和中华哲水蚤(Calanus sinicus)等。根据CLUSTER聚类分析,本文将研究海区浮游动物划分为东海近岸混合水群落、沿岸群落、黄海中部群落、北黄海群落,群落划分结果与以往研究类似。

关 键 词:黄海    浮游动物    WP2型浮游生物网    群落结构    生物多样性
收稿时间:2019-03-26

Community characteristics of zooplankton sampled with WP2 net in the Yellow Sea in spring
Fa-can LEI,Yu-yuan LI,Guang-xing LIU,Yun-yun ZHUANG,Hong-ju CHEN.Community characteristics of zooplankton sampled with WP2 net in the Yellow Sea in spring[J].Marine Environmental Science,2020,39(4):585-592, 599.
Authors:Fa-can LEI  Yu-yuan LI  Guang-xing LIU  Yun-yun ZHUANG  Hong-ju CHEN
Institution:1.Key Laboratory of Marine Environment and Ecology (Ocean University of China), Ministry of Education, Qingdao 266100, China
Abstract:Community structure of zooplankton in the Yellow Sea was characterized based on the samples collected with a WP-2 plankton net (200 μm mesh) in May, 2012. Species composition, abundance, dominant species of zooplankton were analyzed together with the environmental data. A total of 65 zooplankton species and 27 larvae taxa were identified in the study area. The mean abundance of zooplankton (excluding Noctiluca scintillans) is (8109.5±7585.0)ind./m3, which was higher than that of zooplankton collected with coarse-meshed net (505 μm mesh). The dominant species consisted mainly of the small zooplankton, including N. scintilllans, Oithona similis, Centropages abdominalis, Paracalanus parvus, Acartia clausi, Calanus sinicus and copepod nauplii. CLUSTER analyses grouped the zooplankton in the study area into 4 communities, including the East China Sea inshore mixed water community, the neritic community, the Yellow Sea central community and the North Yellow Sea community. The clustering was in concert with the result of previous results.
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