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杨金鹏,姜勇,胡晓钟.青岛沿岸水体原生生物群落与水质状况的关系.生态学报,2012,32(6):1703~1712 本文二维码信息
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青岛沿岸水体原生生物群落与水质状况的关系
The relationship between protistan community and water quality along the coast of Qingdao
投稿时间:2011-02-25  修订日期:2011-09-27
DOI: 10.5846/stxb201102250220
关键词BPFU法  原生生物群落  结构参数  功能参数  水质监测
Key WordsBPFU method  protistan community  structural parameter  functional parameter  bio-monitoring
基金项目国家自然科学基金项目(40976075)
作者单位E-mail
杨金鹏 中国海洋大学海洋生物多样性与进化研究所原生动物学研究室, 青岛 266003
阿尔弗雷德瓦格纳极地和海洋研究所, 黑尔戈兰岛 D-27498 
 
姜勇 中国海洋大学海洋生物多样性与进化研究所原生动物学研究室, 青岛 266003  
胡晓钟 中国海洋大学海洋生物多样性与进化研究所原生动物学研究室, 青岛 266003 xiaozhonghu@ouc.edu.cn 
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摘要:
于2007年9-10月间利用改良的PFU(polyurethane foam unit)法——BPFU(bottled PFU)法对青岛沿岸水体中原生生物群落的结构和功能参数进行了快速观测,进而分析了原生生物群落与水质状况间的相互关系,并结合理化指标对水体的水质状况进行了评价。期间共观测到原生生物263种:其中硅藻83种,鞭毛虫59种,肉足虫31种,纤毛虫90种。结果表明:用BPFU法测定和计算的原生生物群落的结构参数(种类数、丰度、多样性指数)和功能参数(SeqG、T90%)所反映的水质状况和理化指标所反映的基本一致,证明BPFU法适用于海洋近岸水体的快速监测。同时将通过原生生物群落所得的结构参数和功能参数与通过原生动物群落所得的进行了比较,发现由原生生物群落计算的结构参数和功能参数能更有效、更准确地反映水质的状况。
Abstract:
Protistan communities are characterized by high ecological and species diversity due to their short life cycles and by a quick response to environmental changes. Many species respond rapidly to pollutants and often inhabit environments that are unfavorable to most of metazoans and some can even tolerate extremes of environmental conditions to macrofauna. As predominant components of protistan communities, ciliates and flagellates may react more quickly to environmental changes than any other eukaryotic organisms because of their rapid growth and delicate external membranes and can thus serve as bioindicators of water pollution. Polyurethane foam unit (PFU) is an artificial substrate able to host planktonic, periphytic and benthic protistan assemblages. The PFU method has been widely and successfully employed to evaluate freshwater quality all over the world. However, as far as we know, this method has not been used in marine habitats as effective as in freshwater biotopes because of the influence of tidal current and circulation in near-shore area. In order to evaluate the feasibility of using the PFU method to assess coastal water quality, Xu et al.modified the conventional PFU method and presented a bottled PFU (BPFU) system and successfully used to evaluate the water quality in Korean coastal waters. Our study is the first to use the BPFU method for bioassessment in Chinese offshore areas. Three stations in the coastal waters off Qingdao, China were selected as study area from September to October in 2007. Margalef diversity index was calculated by d= (S-1)/lnN. The relationship between the protistan community parameters and marine water quality was analyzed. MacArthur and Wilson equilibrium model: St=Seq (1-e-Gt) was applied to assess the colonizing process of protistan communities. A total of 263 species of protists were identified during the survey. Among these were 83 diatoms, 59 flagellates, 31 sarcodines, and 90 ciliates. In terms of species composition, site 1 was dominated mainly by bacterivores (e.g., Euplotes parabalteatus, Uronema marinum and Pleuronema coronatum), site 3 mainly by algivores (e.g., Strombidinopsis minima, Strombidium apolatum and Hartmannula augustipilosa), and site 2 was in an intermediate status. These results are consistent with the environmental conditions: site 3 had the best water quality, site 1 was the most eutrophic site, and site 2 was the moderate one. Furthermore, the colonization processes and functional parameters (i.e. Seq, G and T90%) of communities correlated with the pollution status and could thus clearly discriminate the different classes of water quality as measured by physicochemical indicators. But the Margalef diversity index did not coincide with the water conditions: site 1 had the highest index value (on average 4.16), while site 2 had the lowest (on average 3.00). Nonetheless, this work further suggests the practicability of the BPFU method for biomonitoring of coastal water pollution. Our study also indicates that protistan communities are more effective and accurate than protozoan communities in reflecting water quality.
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