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基于大型底栖动物多度量指数的河流多尺度评价
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  • 英文篇名:Multi-Scale Evaluation of River based on the Macroinvertebrates Multi-Metric Index
  • 作者:王硕 ; 张建云 ; 林育青 ; 陈求稳 ; 陈凯 ; 李卫明
  • 英文作者:WANG Shuo;ZHANG Jianyun;LIN Yuqing;CHEN Qiuwen;CHEN Kai;LI Weiming;Center of Eco-Environmental Research,Nanjing Hydraulic Research Institute;College of Hydraulic & Environmental Engineering,Three Gorges University;
  • 关键词:漓江 ; 大型底栖动物 ; 多度量指数 ; 多尺度 ; 河流生态健康
  • 英文关键词:Li River;;macroinvertebrates;;multi-metric index;;multi-scale;;river ecosystem health
  • 中文刊名:HJKX
  • 英文刊名:Research of Environmental Sciences
  • 机构:南京水利科学研究院生态环境研究中心;三峡大学水利与环境学院;
  • 出版日期:2018-08-01 15:54
  • 出版单位:环境科学研究
  • 年:2019
  • 期:v.32;No.253
  • 基金:国家重点研发计划项目(No.2016YFC0502205);; 国家杰出青年科学基金项目(No.51425902)~~
  • 语种:中文;
  • 页:HJKX201902014
  • 页数:9
  • CN:02
  • ISSN:11-1827/X
  • 分类号:108-116
摘要
研究大型底栖动物群落特征并构建适当的环境生物指数是评估河流生态系统健康状况的重要途经. 2017年1月对漓江上中下游3个区域41个采样点的大型底栖动物和水体理化指标进行了监测调查,采用主成分分析、分布范围检验、敏感性检验和冗余检验等方法,分析大型底栖动物对流域主要环境压迫的响应关系,筛选出最适宜的生物参数构建多度量指数进行环境评估.主成分分析结果表明,影响漓江流域环境的主要因子为p H、电导率和浊度,结合底栖动物的PMA(百分比模式相似性指数)确定了7个环境相对较好的参照点和34个受损点;分布范围检验、敏感性检验和冗余检验表明,总分类单元数、Shannon-Wiener多样性指数、敏感类群数量百分比和刮食者分类单元数能够有效反映环境差异;采用比值法统一量纲后构建了MRMI(major reaches multi-metric index,MRMI),并采用四分法确定了评价标准,即MRMI> 3. 02为健康,MRMI> 2. 27~3. 02为良好,MRMI>1. 51~2. 27为一般,MRMI>0. 76~1. 51为差,MRMI≤0. 76为极差.通过构建的MRMI对漓江3个河段进行河流健康评价:上游14个采样点中有12个健康级别在良好以上;中游14个采样点中有8个健康级别在良好以上,有1个采样点的健康级别为差,健康状况较上游相比略有下降;下游13个采样点中仅有4个健康级别达到良好以上,在3个采样区域中健康状况最差.研究显示,在流域尺度上河流健康总体呈现从上游至下游逐渐变差状况,在河段尺度上同一河段内的健康评价结果存在较大差异.总体看来,大型底栖动物多度量指数在流域尺度与河段尺度均能较好地反映河流健康状况.
        It is an important way to evaluate the health of river ecosystems by studying the characteristics of macroinvertebrate and establishing an appropriate environmental biological index. The field observation on macroinvertebrate communities and physicochemical parameters of 41 sampling sites in the upper,middle and down reaches of the Li River were conducted in January 2017,and the Principal Component Analysis( PCA), range test, sensitivity test and redundancy test were carried out to investigate the responses of macroinvertebrate to the main pressures of the basin for selecting the most suitable biological parameters to build the multi-metric index.The PCA results indicated that p H,electrical conductivity and turbidity were the primary parameters for the evaluation of the ecosystem health in the Li River Basin. Seven reference points and 34 impaired points were confirmed according to the primary parameters and the percent model affinity( PMA) of macroinvertebrate. Range test,sensitivity test,and redundancy test results showed that the number of taxa,Shannon-Wiener diversity index,percentage of sensitive taxa and the number of scrapers taxa could effectively reflect variations of the ecosystem health in the Li River. The continuous metrics scoring method was applied to calculating the major reaches multi-metric index( MRMI),and five categories,excellent( >3. 02),good( >2. 27-3. 02),moderate( >1. 51-2. 27),poor( >0. 76-1. 51) and bad( ≤0. 76) were established for representing different levels of the river ecosystem health. The MRMI results showed that the healthcondition was the best in the upstream region where 12 sites were above good condition. Eight sites were above good condition and 1 site was in poor condition at the midstream region. Only 4 sites were above good condition in the downstream region. According to study,the ecosystem health condition decreased gradually from upstream to downstream at river basin scale. However,variation of the health condition in the same region was detected at river scale. The multi-metric index of macroinvertebrates can reflect the ecosystem health well at both river basin scale and river scale.
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