Evaluation of the Use of Some Benthic Macro-invertebrate Multimetric Indices Associations with Environmental Variables in Ecological Assessment of Some Ethiopian Rivers

G. Degefe, Girum Tamire, S. Hassen, Abinet Haile
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引用次数: 1

Abstract

The ecological status of six selected rivers which are found around central Ethiopia and North Shewa Zone and exposed to environmental stresses at varied extent, was studied using biological quality elements (BQE). One thousand one hundred thirty three (1133) individuals of macroinvertebrates, from 22 families and 5 orders of insects, were collected from the rivers. Seven metrics that had low correlation (p>0.05) were selected to calculate the final B-IBI and the result showed that both sites of Akaki, Sebeta and Jemma Rivers had poor water quality whereas Beresa, Chacha and Mojo (upstream site) had relatively better water quality. Canonical Correspondence Analysis (CCA) showed that Tabanidae, Syrphidae, Culicidae, and Canidae was more strongly correlated with temperature but strongly and negatively with pH, Dissolve Oxygen (DO) and Nitrate. The result implied that the change in abundance of these groups of macroinvertebrates could indicate the change in pH, DO and Nitrate. pH and DO were significantly (p < 0.05) and positively correlated with % Ephemeroptera and% Baetidae. On the other hand, DO showed strong but negative correlation % Oligochaeta, % Non-Insect and Hillsenhoff Family Biotic Index which implied that that the change in pH and level of organic pollution can be easily monitored using these metrics. HYDRO Nepal Journal Journal of Water Energy and Environment Issue: 20 Page: 49-54
与环境变量相关的底栖大型无脊椎动物多尺度指数在埃塞俄比亚河流生态评价中的应用评价
采用生物质量元素(BQE)对埃塞俄比亚中部和北谢瓦地区6条不同程度暴露于环境胁迫下的河流的生态状况进行了研究。共采集大型无脊椎动物1133只,隶属于昆虫5目22科。选取相关性较低(p>0.05)的7个指标计算最终的B-IBI,结果表明Akaki、Sebeta和Jemma河的水质较差,而Beresa、Chacha和Mojo河的上游水质相对较好。典型对应分析(CCA)表明,Tabanidae、syphidae、Culicidae和Canidae与温度的相关性较强,而与pH、DO和硝态氮的相关性较强。结果表明,这些大型无脊椎动物群丰度的变化可能反映了pH、DO和硝酸盐的变化。pH、DO与%蜉蝣目、%贝伊科呈显著正相关(p < 0.05)。另一方面,DO与%寡毛藻、%非昆虫和Hillsenhoff家族生物指数呈强负相关,这表明使用这些指标可以很容易地监测pH和有机污染水平的变化。水电尼泊尔杂志水、能源和环境杂志第20期:49-54页
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