典型平原河网地区底栖动物生物指数筛选及评价基准研究

陈小华, 康丽娟, 孙从军, 杨青

陈小华, 康丽娟, 孙从军, 杨青. 典型平原河网地区底栖动物生物指数筛选及评价基准研究[J]. 水生生物学报, 2013, 37(2): 191-198. DOI: 10.7541/2013.4
引用本文: 陈小华, 康丽娟, 孙从军, 杨青. 典型平原河网地区底栖动物生物指数筛选及评价基准研究[J]. 水生生物学报, 2013, 37(2): 191-198. DOI: 10.7541/2013.4
Chen Xiao-Hua, Kang Li-Juan, Sun Cong-Jun, Yang Qing. Development of multi-metric index based on benthic macroinvertebrates to assess river ecosystem of a typical plain river network IN China[J]. ACTA HYDROBIOLOGICA SINICA, 2013, 37(2): 191-198. DOI: 10.7541/2013.4
Citation: Chen Xiao-Hua, Kang Li-Juan, Sun Cong-Jun, Yang Qing. Development of multi-metric index based on benthic macroinvertebrates to assess river ecosystem of a typical plain river network IN China[J]. ACTA HYDROBIOLOGICA SINICA, 2013, 37(2): 191-198. DOI: 10.7541/2013.4

典型平原河网地区底栖动物生物指数筛选及评价基准研究

基金项目: 

上海市环境保护局青年专项基金(沪环科2011-04)资助

Development of multi-metric index based on benthic macroinvertebrates to assess river ecosystem of a typical plain river network IN China

  • 摘要: 2011年夏、秋季在上海市全境主要河流的83个断面进行大型底栖动物的采样, 共获取底栖动物20个分类单位(种), 其中软体动物、环节动物和节肢动物分别占50%、30% 和20%。选取常见的28个生物指数分别进行计算, 并采用非参数统计检验方法筛选出8个敏感生物指数。通过记分法对8种敏感生物指数统一量纲后, 获得数值范围为8-40的综合生物指数, 运用四分法划分了判别河道水环境质量的生物基准: 32-40, 较好(Good); 24-31, 一般(Fair); 16-23, 污染(Poor); 8-15, 严重污染(Very poor)。9个断面未发现活体生物, 定为超严重污染(Super poor)。依照生物基准比较上海市41个代表性断面近5年主要水质理化指标, 基本反映出水质理化指标的空间差异性, 该综合生物指数及判别基准也可适用于评价平原河网地区的河道水质状况。
    Abstract: Bioassessment of benthic macroinvertebrate-based multmietrics is a very effective approach to evaluate quality of river water. Benthic macroinvertebrate assemblages were sampled at 83 sites in Shanghai metropolitan area, a typical dense river network plain. A total of 20 taxa of the benthic macroinvertebrate were collected, including 50% of Mollusca, 30% of Arthropoda and 20% of Annelida. Among 74 sites with living samples, 32 relatively clean sites and 42 polluted sites were separated based on Hilsenhoff biotic index discrminatory criteria. A comprehensive evaluation using 28 widely-used metrics was carried out. Furthermore, 8 metrics were selected as the most sensitive ones based on non-parametric tests (i.e., Mann-Whitney U test and Kolmogorov-Smirnov test). By standard scoring method, eight sensitive metrics were unified and integrated into a multi-metric index on a scale ranging from 8 to 40 for bioassessment at each site. Biocriteria values for benthic macroinvertebrate were proposed by quartation, i.e., 8-15, very poor; 16-23, poor; 24-31, fair; and 32-40, good. water quality of 9 sites with no living sample were marked as very poor. According to the biocriteria, 41 typical sites were divided into 5 groups. The past 5-year historical data of physico-chemical water quality indicators have significant difference among 5 group sites. Consequently, the discrminatory biocriteria are suitable for the assessment of the river water quality of the Shanghai city.
  • [1]

    Wang B X, Yang L F. Advances in rapid bio-assessment of water quality using benthic macroinvertebrates [J]. Journal of Nanjing Agricultural University, 2001, 24(4): 107-111

    [2]

    [王备新, 杨莲芳. 大型底栖无脊椎动物水质快速生物评价的研究进展. 南京农业大学学报, 2001, 24(4): 107-111]

    [3]

    Dai J C, Ni J R. Roles of benthos in the aquatic ecosystem health assessment [J]. Ecology and Environment, 2008, 17(6): 2107-2111 [戴纪翠, 倪晋仁. 底栖动物在水生生态系统健康评价中的作用分析. 生态环境, 2008, 17(6): 2107-2111]

    [4]

    He X B, Liu X Q, Cui Y D, et al. Macrozoobenthic community of different habitats in littoral of Lake Baikal [J]. Acta Hydrobiologica Sinica, 2011, 35(3): 516-522 [何雪宝, 刘学勤, 崔永德, 等. 贝加尔湖沿岸带不同生境底栖动物群落研究. 水生生物学报, 2011, 35(3): 516-522]

    [5]

    Angelo G S, Bazzanti M, Ruggiero A, et al. Determining subsampling effort for the development of a rapid bioassessment protocol using benthic macroinvertebrates in streams of southeastern Brazil [J]. Hydrobiologia, 2008, 597: 109-123

    [6]

    Barbour M T, Gerritsen J, Snyder B D, et al. Rapid Bioassessment Protocols for Use in Streams and Wade able Rivers: Periphyton, Benthic Macroinvertebrates and Fish (2nd ed) [M]. EPAP841PB299P002. U. S. Environmental Protection Agency, Office of Water, Washington, D C. 1999, 1-10

    [7]

    Boonsatien B, Sangpradub N, Barbour M T, et al. An implementation plan for using biological indicators to improve assessment of water quality in Thailand [J]. Environmental Monitoring and Assessment, 2010, 165: 205-215

    [8]

    Cristina T, Criado F G, Alaez C F. Towards a multimetric index for ecological assessment of mediterranean flatland ponds the use of macroinvertebrates as bioindicators [J]. Hydrobiologia, 2009, 618: 109-123

    [9]

    Leticia M M. Effect of spates and land use on macroinvertebrate community in Neotropical Andean streams [J]. Hydrobiologia, 2010, 641: 85-95

    [10]

    Nabor M, Tomanov S, Oberdorff T. Initial development of a multi-metric index based on aquatic macroinvertebrates to assess streams condition in the Upper Isiboro-Scure Basin, Bolivian Amazon [J]. Hydrobiologia, 2007, 589: 107-116

    [11]

    Simone G V, Cortes RM V. Evaluating macroinvertebrate biological metrics for ecological assessment of streams in Northern Portugal [J]. Environmental Monitoring and Assessment, 2010, 166: 201-221

    [12]

    Stephane M, Desrosiers M, Pinel B, et al. Relating macroinvertebrate community structure to environmental characteristics and sediment contamination at the scale of the St. Lawrence River [J]. Hydrobiologia, 2010, 647: 35-50

    [13]

    Wang Q, Wang H J, Cui Y D. Community characteristics of the macrozoobenthos and bioassessment of water quality in Lake Donghu district, Wuhan [J]. Acta Hydrobiologica Sinica, 2010, 34(4): 739-746 [王琴, 王海军, 崔永德. 武汉东湖水网区底栖动物群落特征及其水质的生物学评价. 水生生物学报, 2010, 34(4): 739-746]

    [14]

    Weigel B M, Henne L J, Martinez-Rvera L M. Macroinvertebrate-based Index of biotic integrity for protection of streams in west-central Mexico [J]. Journal of the North American Benthological Society, 2002, 21(4): 686-700

    [15]

    Zhang F F, Zhang M, Liu Z G, et al. A health assessment using a benthic-index of biotic integrity in Ganjiang River Basin [J]. Acta Hydrobiologica Sinica, 2011, 35(6): 963-971 [张方方, 张萌, 刘足根, 等.基于底栖生物完整性指数的赣江流域河流健康评价.水生生物学报, 2011, 35(6): 963-971]

    [16]

    Kerans B L, Karr J R. A benthic index of biotic integrity (B-BBI) for rivers of the Tennessee Valley [J]. Ecological Applications, 1994, 4(4): 768-785

    [17]

    Blocksom K A, Kurtenbach J P, Klemm D J, et al. Development and evaluation of the lake macroinvertebrate integrity index (B-IBI) for New Jersey lakes and reservoirs [J]. Environmental Monitoring and Assessment, 2002, 77: 311-333

    [18]

    Duan X H, Wang Z Y, Xu M Z. Benthic Macroinvertebrate and Application in the Assessment of Stream Ecology [M]. Beijing: TsingHua University Press. 2010, 54-61 [段学花, 王兆印, 徐梦珍. 底栖动物与河流生态评价. 北京: 清华大学出版社. 2010, 54-61]

    [19]

    Ma T W, Huang Q H, Wang H, et al. The selection of benthic macroinvertebrate based multimetrics and preliminary establishment of biocriteria for the bioassessment of the water quality of Taihu Lake [J]. Acta Ecologica Sinica, 2008, 28(3): 1192-2000 [马陶武, 黄清辉, 王海, 等. 太湖水质评价中底栖动物综合生物指数的筛选及生物基准的确立. 生态学报, 2008, 28(3): 1192-2000]

    [20]

    Wang J G, Huang H B, Yang M X, et al. Tolerance values of benthic macroinvertebrates and bioassessment of water quality in the Lushan Nature Reserve [J]. China Journal of the Application and Environmental Biology, 2003, 9(3): 279-284 [王建国, 黄恢柏, 杨明旭, 等. 庐山地区底栖大型无脊椎动物耐污值与水质生物学评价. 应用与环境生物学报, 2003, 9(3): 279-284]

    [21]

    Wang B X, Yang L F, Hu B J, et al. A preliminary study on the assessment of stream ecosystem health in south of Anhui Province using benthic-index of biotic integrity [J]. Acta Ecologica Sinica, 2005, 25(6): 1481-1490 [王备新, 杨莲芳, 胡本进, 等. 应用底栖动物完整性指数B-IBI评价溪流健康. 生态学报, 2005, 25(6): 1481-1490]

    [22]

    Huang X F. Observation and Analysis of Lake Ecology [M]. Beijing: Standards Press of China. 1999, 77-79 [黄祥飞. 湖泊生态调查观测与分析. 北京: 中国标准出版社. 1999, 77-79]

    [23]

    Dalian Institute of Aquaculture. Hydrobiology [M].Beijing: Agricultural Press. 1982, 1-346 [大连水产学院.淡水生物学.北京: 农业出版社. 1982, 1-346]

    [24]

    Han M S, Shu Y F. Atlas of Fresh-water Biota in China [M]. Beijing: Ocean Press. 1995, 1-294 [韩茂森, 束蕴芳.中国淡水生物图谱.北京: 海洋出版社. 1995, 1-294]

    [25]

    Liu W L, He W S. The Benthic Macro-invertebrates in the Yangtze Estuary [M]. Shanghai: Shanghai Scientific and Technical Publishers. 2007, 1-203 [刘文亮, 何文珊. 长江河口大型底栖无脊椎动物. 上海: 上海科学技术出版社. 2007, 1-203]

    [26]

    Wei C D. Fauna Sinica (Crustacean in Zhejiang) [M]. Hangzhou: Zhejiang Scientific and Technical Press. 1991, 49-150 [魏崇德.浙江动物志甲壳类, 杭州: 浙江科学技术出版社. 1991, 49-150]

    [27]

    Stribling J B, Jessup B K, White J S, et al. Chesapeake Bay and Watershed Programs (Monitoring and Non-tidal Assessment: Development of a Benthic Index of Biotic Integrity for Mary Land Streams), Report No. CBWP2MANTA2EA 29823 [R], Maryland Department of Natural Resources, Maryland. Annapolis, MD. 1998, 1-38

    [28]

    Bode R W, Novak M A, Abele L E, et al. Quality Assurance Work Plan for Biological Stream Monitoring in New York State [R]. NYS Department of Environmental Conservation, Albany, NY. 2002, 115

    [29]

    Morse J C, Yang L F, Tian L X. Aquatic Insects of China Useful for Monitoring Water Quality [M]. Nanjing: Hohai University Press. 1994, 1-570

    [30]

    Liu J K. Advanced Hydrobiology [M]. Beijing: Science Press. 1999, 241-259 [刘建康. 高级水生生物学. 北京: 科学出版社. 1999, 241-259]

    [31]

    Merritt R W, Cummins K W. Trophic relations of macro- invertebrate. In: Hauer F R, Lam berti G A (Eds.), Methods in Stream Ecology [M]. San Diego: Academic Press. 1996, 453-474

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出版历程
  • 收稿日期:  2012-08-05
  • 修回日期:  2012-12-09
  • 发布日期:  2013-03-24

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