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基于底栖动物完整性指数的河口健康评价
摘要点击 3753  全文点击 2261  投稿时间:2008-01-16  修订日期:2008-03-26
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中文关键词  大型底栖动物  B-IBI指数  健康评价  长江口
英文关键词  benthic macro-invertebrate  B-IBI index  health assessment  Yangzte Estuary
作者单位
周晓蔚 中国水电工程顾问集团公司北京100011 
王丽萍 华北电力大学可再生能源学院水资源与水利水电工程研究所北京102206 
郑丙辉 中国环境科学研究院河流与海岸带环境研究室北京100012 
刘录三 中国环境科学研究院河流与海岸带环境研究室北京100012 
付青 中国环境科学研究院水环境研究所北京100012 
中文摘要
      建立底栖动物完整性(B-IBI)评价指标体系和评价标准评价长江口及毗邻海域健康.根据2005年7月长江口及毗邻海域41个站位的底栖动物数据(参照点13个,干扰点28个),通过对14个生物参数的分布范围、判别能力和相关关系分析,筛选出了多样性指数、种类数、总栖息密度、总生物量、甲壳类的密度百分比和棘皮动物的密度百分比等6个生物参数构成B-IBI指标体系.采用比值法统一参数量纲,直接累加得到B-IBI指数值.根据参照点B-IBI值的50%分位数值确定健康等级标准,建立了评价长江口及毗邻海域健康的B-IBI标准:>2.48为健康,1.86~2.48为亚健康,1.24~1.86为一般,0.62~1.24为差,<0.62为极差.评价结果表明,长江口及毗邻海域41个站位中,7个为健康,2个为亚健康,8个为一般,8个为较差,16个为极差.用2006年6月底栖动物数据进行评价结果验证,准确率为89%.
英文摘要
      A benthic index of biotic integrity(B-IBI) was developed for application in estuaries health assessment of the Yangtze Estuary and its adjacent waters. Benthic macro-invertebrate samples were collected from 41 stream sites (13 non-degraded stations and 28 degraded stations) in the Yangtze Estuary and its adjacent waters in July, 2005. The analyses of the range of index value distribution, Pearson correlation and judgment ability were performed on fourteen candidate metrics. Six biological metrics were selected for the establishment of B-IBI, which were Shannon-Wiener index, the species number, total density, total biomass,Carapace Animals density percentage and Echinoderms density percentage. B-IBI was obtained by sum up all these indices after which were transformed into a uniform score by using the ratio scoring method. Base on 50 percentile of B-IBI value in reference sites, the criteria of health ranking was determined. The proposed criteria of benthic-index of biotic integrity were as follows: B-IBI >2.48 was regarded as health, 1.86-2.48 sub-health, 1.24-1.86 fair, 0.62-1.24 poor, and B-IBI<0.62 very poor. Assessing with these criteria, the results showed that among the 41 sites in Yangtze Estuary and its adjacent waters,7 sites were health, 2 sites were sub-health, 8 sites were fair,8 sites were poor and 16 sites were very poor. An independent data set sampled in June of 2006 was used to validate the index, the results indicated that final combined index correctly classified 89% of stations in the validation data set.

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