黄盖湖水系河源区———皤河大型无脊椎动物群落与水质评价
MACROINVERTEBRATE COMMUNITY STRUCTURE AND BIOASSESSMENT OF WATER QUALITY IN POHE STREAM,ONE OF THE HEADWATER STREAMS OF HUANGGAI LAKE WATER-NETWORK
查看参考文献24篇
文摘
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2009年7月对黄盖湖水系河源区———皤河的大型无脊椎动物进行调查。共采集到无脊椎动物54种,隶属于4门6纲36科。其中水生昆虫45种,软体动物4种,甲壳动物2种,寡毛类、涡虫纲、蛛形纲各1种。无脊椎动物密度方面的优势类群主要为蜉蝣目稚虫和摇蚊幼虫。宽基蜉(Choroterpessp.)、微动蜉(Cinygmulasp.)、四节蜉(Baetissp.)和无突摇蚊(Ablabesmyiasp.)是最优势的种类,其相对丰度分别占总丰度的40.40%、8.38%、 4.26%和4.19%。典范对应分析(CCA)显示,海拔和河宽是影响无脊椎动物群落分布的关键环境因子。采用 Shannon-Wiener指数和BI生物指数对各样点的水质状况进行了评价:二者结果具有一定差异,BI指数的评价结果更符合实际情况 |
其他语种文摘
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During July of 2009,macroinvertebrate assemblages were investigated in Pohe Stream which is an important headwater system belonging to Huanggai Lake water-network,located in Chibi County,Hubei Province.A total of 54 taxa were identified,belonging to 4 phyla,6 classes and 36 families.Of which 45 were aquatic insects,4 mollusks,2 crustaceans and 3 others (oligochaete,turbellarian and arachnidan).The larvae of Ephemeroptera and Chironomidae were the dominant groups in abundance.Choroterpessp.,Cinygmulasp.,Baetissp.andAblabesmyiasp.were most dominant taxa and their relative abundance were 40.40%,8.38%,4.26% and 4.19% of the total,respectively.Canonical correspondence analysis (CCA)was used to explore the importance of environmental factors in influencing macroinvertebrate community structure.The results showed altitude and channel width were the significant predictors of the community variance.Shannon-Wiener diversity and Hilsenhoff's Biotic Index (BI)were explored to assess the water quality of the stream.The results of two indices were different to a certain extent and indicated that the water quality was quite clean in most sampling sections.Considering the coincidence with physical-chemical parameters,BI bioassessment method should be applicable in this headwater stream ecosystem. |
来源
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长江流域资源与环境
,2011,20(9):1040-1046 【核心库】
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关键词
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大型无脊椎动物
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源头溪流
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群落结构
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水质评价
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典范对应分析
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地址
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1.
中国科学院水生生物研究所, 湖北, 武汉, 430072
2.
井冈山大学生命科学学院, 江西, 吉安, 343009
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语种
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中文 |
文献类型
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研究性论文 |
ISSN
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1004-8227 |
学科
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动物学;环境质量评价与环境监测 |
基金
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国家重大科技专项
;
中国科学院知识创新工程重要方向项目
;
中国科学院水生生物研究所淡水生态与生物技术国家重点实验室基金
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文献收藏号
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CSCD:4308954
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