文献类型： 外文期刊

作者： Du Li-Na ¹ ; Jiang Yan-E ² ; Chen Xiao-Yong ³ ; Yang Jun-Xing ³ ; Aldridge, David ⁴ ;

作者机构： 1.Chinese Acad Sci, Kunming Inst Zool, Kunming Nat Hist Museum Zool, Kunming 650223, Yunnan, Peoples R China

2.Chinese Acad Fishery Sci, South China Sea Fisheries Res Inst, Guangzhou 510330, Guangdong, Peoples R China

3.Chinese Acad Sci, Kunming Inst Zool, State Key Lab Genet Resources & Evolut, Kunming 650223, Yunnan, Peoples R China

4.Univ Cambridge, Dept Zool, Aquat Ecol Grp, Cambridge CB2 3EJ, England

关键词： biotic index;macroinvertebrate;lakes;organic pollution;Yunnan

期刊名称：WATER RESOURCES （ 影响因子：0.616； 五年影响因子：0.67 ）

ISSN： 0097-8078

年卷期： 2017 年 44 卷 6 期

页码：

收录情况： SCI

摘要： Persistent economic growth in Chinese southwestern Yunnan Province is setting aquatic ecosystems in its plateau lakes under enormous pressure. While several different systems have previously been used to study these lakes, no existing methodology adequately measures both the chemical and biotic parameters of these water bodies. Here, we present a novel Biotic Monitoring Yunnan Lakes (BMYL) index that provides a general assessment tool for ecological deterioration that is caused by organic pollution. Principal Component Analysis is used to analyze the occurrence of families of macroinvertebrates and chemical properties of the lakes. In brief, families of macroinvertebrates were given a score from 10 to 1 based on sensitivity to organic enrichment and eutrophication. Sampling at each lake yielded an Average Score per Lake (ASPL) which is calculated by dividing the total BMYL by the total number of scoring families. High ASPL values characterize a biologically intact lake containing relatively large numbers of high scoring taxa, while lower ASPL values denote a polluted lake that does not support many high scoring taxa. The results of the BMYL show a notably more accurate characterization of the long-term health of concerned aquatic ecosystems than studies that use abundance levels of species or a simple analysis of chemical parameter.