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中文摘要：
为验证运用浮游动物图像扫描分析系统（ZooScan Integrated System,ZooScan）研究浮游动物群落结构的可行性,作者利用ZooScan图像技术,对2013年8月在南黄海（30°—37°N,125°E以西）14个站位采集到的中型浮游生物网（孔径160μm）样品进行了处理,分析了浮游动物混合样品的体积生物量与实测干重、含碳量和含氮量的相关关系,在此基础上研究了南黄海夏季浮游动物群落结构,并与历史资料进行了比较。结果表明,浮游动物混合样品的总体积生物量与总实测干重、含碳量和含氮量具有极显著的相关关系,但在500—1000μm和〉2000μm粒径组相关关系不显著,这与粒径组的类群组成有关。南黄海夏季浮游动物可划分为四个组群：黄海中部组群、黄海近岸组群、黄东海交汇区组群1和2。其中,黄海中部组群和黄海近岸组群与历史研究中的稳定群落相一致。不同组群的地理分布受使用的浮游生物网型和季节变化的影响。研究表明,ZooScan图像技术为我国近海浮游动物群落结构的研究提供了一种快速、可行的方法。
英文摘要：
To test the feasibility of ZooScan（ZooScan Integrated System） for zooplankton community structure analysis, we studied the correlation between ZooScan-recorded biovolume with those measured results of dry mass, carbon content, and nitrogen content of mixed zooplankton samples towed with net（mesh size 160 μm） in 14 stations in South Yellow Sea in summer. Results show significant correlations between the biovolume and the dry mass, carbon content, nitrogen content for mixed zooplankton, but insignificant for samples in size of 500—1000μm and 〉2000μm, which was resulted from the taxa composition. Based on Bray-Curtis cluster analysis in biovolume of all zooplankton size classes for each taxonomic group at interval of 1（log2 mm^3/ind.）, the zooplankton communities could be classified into four groups： the Yellow Sea Central Group, the Yellow Sea Neritic Group, and the Yellow Sea and East China Sea Mixed Groups 1 and 2. Among them, the zooplankton communities of the Yellow Sea Central Group and the Yellow Sea Neritic Group were similar to those reported previously. The geographical distribution of these groups was influenced by the mesh size and type of plankton net, and changed seasonally. ZooScan was proven an efficient and feasible tool to study the zooplankton community structure in South Yellow Sea, and probably other marine regions.
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