作为印度喀拉拉邦 Achenkovil 河水质生物指标的水生昆虫。

Sujitha S, S. R, Beena S Kurup
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引用次数: 0

摘要

Achenkovil 河(西高止山脉的 Devarmalai 河)的发源地位于 Pathanamthitta 区的 Konni 保护区森林内,流经 Pathanamthitta 和 Kollam,在 Alappuzha 区与 Pamba 河汇合。这项研究包括与水质有关的水生昆虫动物的空间变化。在为期一年(2019 年 2 月至 2020 年 1 月)的时间里,使用 Niskin 采样器和 D 型网每两个月采集一次底层水样和昆虫动物。研究共获得 10736 个昆虫动物群,包括 8 目 21 科 35 属 36 种。利用多元统计技术(PCA 和 CCA)和皮尔逊相关系数研究了水质如何影响水生昆虫的生物多样性。研究结果表明,河流上游的水生昆虫种类繁多,数量巨大。采集样本中的主要昆虫类群为蜉蝣类。河流中游和下游没有对污染敏感的类群,这表明水质正在下降。中游和下游河段没有发现对污染敏感的类群,表明水质正在恶化。在这些地区,洗车、洗车、洗牛和处理垃圾等人为因素很常见。由于大多数水生昆虫对环境波动非常敏感,因此它们可以作为生物监测研究的有效工具。
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Aquatic Insects as Bioindicators of Water Quality in the Achenkovil River, Kerala, India.
The origin of the Achenkovil River, the Devarmalai of Western Ghats, is within the Konni reserve forest of Pathanamthitta district, flowing through Pathanamthitta, Kollam, and merging with the Pamba river in the Alappuzha district. This study included the spatial variation of aquatic insect fauna with respect to water quality. The bottom water samples and insect fauna were collected bimonthly using a Niskin sampler and D-frame nets for a period of one year (February 2019 to January 2020). The study yielded 10736 insect fauna under 8 orders, 21 families, 35 genera, and 36 species. How the quality of the water affects biodiversity of aquatic insects was examined using multivariate statistical techniques (PCA and CCA) and Pearson's correlation coefficient. The findings showed that the upstream portion of the river has a remarkable diversity and quantity of aquatic insect species. The major insect group in the collected sample was ephemeroptera. There were no pollution-sensitive taxa in the middle stream or downstream portions of the river, which suggests that the water quality was declining. The middle stream and downstream sections of the river did not contain any pollution-sensitive taxa, indicating deteriorating water quality. Human-caused factors like washing, cleaning cars, and washing cattle and disposal of garbage are common in these regions. Because most aquatic insects are sensitive to environmental fluctuations, they can be used as an efficient tool in biomonitoring studies.
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