中文关键词北京河流浮游动物群落结构水质 英文关键词Beijingriverzooplanktoncommunity structurewater quality

作者	单位	E-mail
王海邻	河南理工大学资源环境学院, 焦作 454000	whl@hpu.edu.cn
刘玉飞	河南理工大学资源环境学院, 焦作 454000 中国科学院生态环境研究中心城市与区域生态国家重点实验室, 北京城市生态系统研究站, 北京 100085
任玉芬	中国科学院生态环境研究中心城市与区域生态国家重点实验室, 北京城市生态系统研究站, 北京 100085	yfren@rcees.ac.cn
贺玉晓	河南理工大学资源环境学院, 焦作 454000	heyuxiao@hpu.edu.cn
王思琪	中国科学院生态环境研究中心城市与区域生态国家重点实验室, 北京城市生态系统研究站, 北京 100085
张红星	中国科学院生态环境研究中心城市与区域生态国家重点实验室, 北京城市生态系统研究站, 北京 100085
王效科	中国科学院生态环境研究中心城市与区域生态国家重点实验室, 北京城市生态系统研究站, 北京 100085
李紫鑫	河南理工大学资源环境学院, 焦作 454000

中文摘要 为了解北京市河流浮游动物群落空间分布特征及其与水环境因子之间的关系，于2017年9月采集了北京市28个水体的81个断面的样品，鉴定出浮游动物4类68种，其中原生动物17种占25%，轮虫36种占53%，枝角类13种占19%，桡足类占3%，主要是桡足幼体和无节幼体.15种优势种中12种主要来自于轮虫和桡足类.山区河流浮游动物以原生动物和桡足类为主，城郊结合区以桡足类为主，城区以轮虫为主.综合水质标识指数法、Shannon-Wiener指数、Pielou均匀度指数和Margalef丰富度指数计算结果表明，山区河流水质总体上优于城区，城市水质优于城郊结合区；采用单因子水质标识指数法识别出水体主要污染因子为总氮.通过主成分分析（PCA）和典范对应分析（CCA）后发现，NH₄⁺-N、BOD₅和COD等对浮游动物特征影响较大. 英文摘要 To clarify the spatial distribution characteristics of zooplankton communities and the relationship between zooplankton and water environmental factors, 81 samples from 28 rivers and lakes in Beijing were collected in September 2017. A total of 68 species of zooplankton were identified, including 17 species of protozoa (25%), 36 species of rotifers (53%), 13 species of cladocera (19%), and copepods (3%, which were mainly copepodids and nauplii). Among 15 dominant species, 12 were copepods and rotifers. Zooplankton communities varied between the different rivers:The zooplankton in rivers in mountainous areas were mainly protozoa and copepods; in suburban areas, communities were dominated by copepods; and in urban areas, rotifers were dominant. A comprehensive water quality index, the Shannon-Wiener index, the Pielou evenness index, and the Margalef richness index were also calculated. Results showed that the water quality of the rivers in mountainous areas was generally better than in urban areas, which was better than in suburban areas. TN was found to be the main form of pollution using the single factor water quality index. Principal component analysis (PCA) and canonical correspondence analysis (CCA) identified that NH₄⁺-N, BOD₅, and COD had a significant effect on zooplankton community characteristics.

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