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Impact of urbanization on aquatic insect assemblages in the coastal zone of Cameroon: the use of biotraits and indicator taxa to assess environmental pollution

机译:城市化对喀麦隆沿海地区水生昆虫群落的影响:利用生物特征和指示生物分类来评估环境污染

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摘要

Internationally, waterways within urban area are subject to broad-scale environmental pollution. In this study, we used in-stream aquatic insects as surrogates to measure the aquatic health of urban streams in the Douala township. We compared these assessments with samples collected from a suburb stream. Aquatic insects were sampled monthly over a 13-month period in ten urban sites and two forest sites. Measurements of the environmental variables were done simultaneously. Results revealed that urban streams are highly polluted and ecologically impaired. The classification of samples by the self-organized mapping analysis permitted to clearly separate urban and non-urban aquatic insect assemblages. Higher total taxa richness, higher values of diversity indices, and higher Ephemeroptera-Plecoptera-Trichoptera (EPT) scores were recorded in forest sites. Inversely, in urban streams, very low taxa richness was observed, with the proliferation of dipterans, and the absence of EPT taxa. The EPT, coleoptera, and hemiptera taxa, the functional feeding groups of shredders and predators, and the insect taxa relying on gills and plastron for breathing were good predictors of anthropogenic pollution. Indicator taxa and ecological functioning traits identified in this study could enhance the accuracy of water quality assessment methodologies and potentially enable predictive models for evaluating the human impact in stream ecosystems.
机译:在国际上,市区内的水道受到广泛的环境污染。在这项研究中,我们使用河内水生昆虫作为替代物来测量杜阿拉镇城市水系的水生健康状况。我们将这些评估与从郊区采集的样本进行了比较。在13个月的时间内,每月在十个城市站点和两个森林站点中采样水生昆虫。同时测量环境变量。结果表明,城市溪流受到严重污染并且受到生态破坏。通过自组织映射分析对样品进行分类,可以清楚地区分城市和非城市水生昆虫组合。在森林地点记录到较高的总分类单元丰富度,较高的多样性指数值和较高的表翅目-鞘翅目-反翅目(EPT)评分。相反,在城市河流中,观察到非常低的分类单元富集度,其中双翅类动物大量繁殖,而没有EPT分类单元。 EPT,鞘翅目和半翅目分类单元,切碎机和掠食者的功能性进食组以及依靠腮和的呼吸的昆虫分类单元是人为污染的良好预测指标。在这项研究中确定的指标分类单元和生态功能特征可以提高水质评估方法的准确性,并有可能建立预测模型,以评估人类对河流生态系统的影响。

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