清江利川段底栖动物群落结构及水质生物学评价
Macrozoobenthos Community Structure and Water Quality Bioassessment in the Lichuan Section of Qingjiang River, China
投稿时间:2018-01-15  修订日期:2018-09-10
中文关键词:大型底栖动物  群落结构  水质评价  清江
英文关键词:macroinvertebrate  bioassessment  community structure  water quality assessment  Qingjiang River
基金项目:国家自然科学基金(31500378);湖北工业大学高层次人才科研启动基金 (337301);河湖生态修复与藻类利用湖北省重点实验室开放基金(HHKF201506);湖北省水利重点科研项目(HBSLKY201719)。
作者单位E-mail
刘林峰 湖北工业大学河湖生态修复与藻类利用湖北省重点实验室土木建筑与环境学院武汉430068 528449870@qq.com 
潘超 湖北工业大学河湖生态修复与藻类利用湖北省重点实验室土木建筑与环境学院武汉430068 294413161@qq.com 
周驰 湖北省水利水电科学研究院武汉430070 66776094@qq.com 
苗滕 湖北省水利水电科学研究院武汉430070 313274812@qq.com 
熊文 湖北工业大学河湖生态修复与藻类利用湖北省重点实验室土木建筑与环境学院武汉430068 751525983@qq.com 
刘伟 湖北工业大学河湖生态修复与藻类利用湖北省重点实验室土木建筑与环境学院武汉430068 857114420@qq.com 
李祝 湖北工业大学河湖生态修复与藻类利用湖北省重点实验室土木建筑与环境学院武汉430068 29768412@qq.com 
徐德雄 湖北工业大学河湖生态修复与藻类利用湖北省重点实验室土木建筑与环境学院武汉430068 1204693150@qq.com 
赵以军 湖北工业大学河湖生态修复与藻类利用湖北省重点实验室土木建筑与环境学院武汉430068 529164819@qq.com 
高健 湖北工业大学河湖生态修复与藻类利用湖北省重点实验室土木建筑与环境学院武汉430068武汉大学水资源与水电工程科学国家重点实验室污淤泥研究中心武汉 430072 jgao13@hotmail.com 
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中文摘要:
      研究清江利川段的大型底栖动物群落结构和评价水质,为合理实施该重点流域水环境分区管控和生态保护提供科学依据。2016年5月-2017年3月,在清江(源头至利川城下游)共设置5个采样点,开展了6次底栖动物群落结构调查,采用大型底栖动物科级水平生物指数(FBI)、底栖动物敏感性计分器指数(SIGNAL)进行水质生物学评价。底栖动物共检出5门8纲16目61科,其中源头采样点共采集9目,蜉蝣目数量占74.1%;临村庄采样点共采集7目,蜉蝣目数量占41.6%;近城区上、中、下采样点分别采集10、9和13目,优势目均为十足目,其数量分别占总量的73.5%、79.9%和54.5%。敏感类群蜉蝣目比例从沿水流方向逐渐降低。基于底栖动物耐污性及其数量占比分析,该江段污染程度沿水流方向呈加重趋势。综合FBI和SIGNAL底栖生物指数与环境因子的拟合回归结果以及底栖动物污染敏感值,表明SIGNAL指数应作为该江段首选水质污染生物学评价指数。
英文摘要:
      Qingjiang River is the second largest tributary of the Yangtze River in Hubei province. To understand the ecological health of its headwaters, a field survey of the macrozoobenthos community structure was conducted in the Lichuan section of Qingjiang River from May 2016 to March 2017. The results were used for bioassessment of water quality using the Family Biotic Index (FBI) and Stream Invertebrate Grade Number - Average Level (SIGNAL). The study provides a reference for ecological conservation and regional management and control of the water environment. Five sampling sites (Q1-Q5) were established, respectively at 0.75 km,18.25 km,66.65 km,71.65 km and 77.55 km from the headwater. In May, July, September and November of 2016 and January and March of 2017, water samples were collected at 0.5m below the surface for determination of water quality parameters; specific conductance (SPC), total nitrogen (TN), total phosphorus (TP), ammonia-nitrogen (NH3-N) and permanganate oxygen demand (CODMn). Quantitative samples of macrozoobenthos were collected with a Surber net (30 cm×30 cm) and macrozoobenthos were identified to genus. A total of 61 macrozoobenthic families were collected, belonging to 16 orders, 8 classes and 5 phyla. Ephemeroptera constituted 74.1% and 41.6% of the total specimens in Q1 and Q2 and Decapods made up 73.5%, 79.9% and 54.5% of the total abundance in Q3, Q4 and Q5. The abundance of Ephemeroptera decreased from Q1 to Q5, and the pollution-tolerant species gradually became dominant, indicating that pollutants accumulated in the direction of flow. Linear regression between FBI and environmental variables showed no significant relationships, while SIGNAL displayed significant correlations with all environmental variables except CODMn. Thus, the SIGNAL index is an effective indicator of water pollution status and is a reliable means for assessing water quality in the Lichuan Reach of Qingjiang River. According to the SIGNAL index, water quality varied from clean to light pollution in Q1, from clean to mid-pollution in Q2 and Q3 and from mid-pollution to serious pollution in Q4 and Q5.
刘林峰,潘超,周驰,苗滕,熊文,刘伟,李祝,徐德雄,赵以军,高健.2018.清江利川段底栖动物群落结构及水质生物学评价[J].水生态学杂志,39(5):39-46.
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