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底栖动物完整性指数评价西苕溪溪流健康
摘要点击 2986  全文点击 2873  投稿时间:2006-11-06  修订日期:2007-02-05
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中文关键词  B-IBI指数  溪流  健康评价  大型底栖无脊椎动物
英文关键词  benthic index of biotic integrity  stream  health assessment  macro-invertebrate
作者单位
李强 南京农业大学昆虫学系水生昆虫与溪流生态实验室, 南京210095 
杨莲芳 南京农业大学昆虫学系水生昆虫与溪流生态实验室, 南京210095 
吴璟 南京农业大学昆虫学系水生昆虫与溪流生态实验室, 南京210095 
王备新 南京农业大学昆虫学系水生昆虫与溪流生态实验室, 南京210095 
中文摘要
      根据浙江安吉县西苕溪的64个底栖动物样点数据,对36个生物参数的分布范围、Pearson相关性和判别能力进行分析,确定B-IBI指数由总分类单元数、EPT分类单元数、鞘翅目%、前3位优势分类单元%、(纹石蛾科/毛翅目)%、滤食者%和BI指数构成.用比值法统一参数量纲,采用直接累加、变异系数权重法和熵值权重法分别计算B-IBI值并进行B-IBI健康标准的准确性检验,结果表明,熵值权重法的准确性(92.9%)优于直接累加(85.7%)和变异系数权重法(78.5%).建立了评价西苕溪健康的B-IBI标准:B-IBI>0.69 健康,0.52~0.68 亚健康,0.35~0.51 一般,0.18~0.34 差,B-IBI<0.17 极差.B-IBI指数与栖境指数(r=0.62,p<0.01)、水温(r=-0.64,p<0.01)和海拔(r=0.64,p<0.01)显著相关.
英文摘要
      Stream macro-invertebrate assemblages were collected from 64 stream sites in Xitiaoxi Stream, Anji County, Zhejiang Province, China. Thirty-six candidate metrics were evaluated stepwise by distributing range analysis, discriminatory power analysis, and Pearson's correlation analysis. The B-IBI was composed of seven metrics: total taxa, EPT taxa, Coleoptera %, three dominant taxa, Hydropsychidae (Trichoptera) %, filterers %, and Biotic Index (BI). The ratio scoring method was used to transform the value of each metric into a uniform score. A variability coefficient method and an entropy method were used to calculate the weight value of each metric of the B-IBI. The measurement accuracy of the health criteria for the B-IBI derived from all sample data was better than that from only reference data. The entropy method had a higher accuracy (92.9%) than the sum total score method (85.7%) and the variability coefficient method (78.5%) in discriminating stressed and reference sites. The B-IBI health criteria for Xitiaoxi Stream were: B-IBI>0.69=healthy, 0.52-0.68=sub-healthy, 0.35-0.51=good-fair, 0.18-0.34=fair, B-IBI<0.17=poor. The Pearson's correlation analysis between B-IBI and chemical-physical variables showed that the B-IBI strongly corresponded with the habitat quality index (r=0.62, p<0.01), water temperature (r=-0.64, p<0.01), and altitude (r=0.64, p<0.01). Our results suggest that the B-IBI is a good indicator in stream health assessment and should be used in water resource management in China.

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