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Stream health assessment using chemical and biological multi-metric models and their relationships with fish trophic and tolerance indicators
Ecological Indicators ( IF 7.0 ) Pub Date : 2020-01-08 , DOI: 10.1016/j.ecolind.2019.106055
Md Mamun , Kwang-Guk An

Nonsan Stream is a tributary of the Geum River that is strongly affected by urbanization and agricultural activities in the watershed. The present study was performed to diagnose the chemical and biological health of the stream from 2010 to 2016 using the multi-metric water pollution index (WPI) and index of biotic integrity (IBI) models. Monthly and annual variations in stream water chemistry were directly influenced by the monsoon season. Inputs of total phosphorus, suspended solids, and ionic substances, as well as dilution of total nitrogen, occurred during July and August. Chlorophyll increase was largely influenced by total phosphorus (R2 = 0.43, p < 0.01), total nitrogen: total phosphorus ratio (R2 = 0.54, p < 0.01), and electrical conductivity (R2 = 0.81, p < 0.01). Principal component analysis showed that the abundances of omnivorous and tolerant species were higher than those of insectivorous and sensitive species due to nutrient and organic matter pollution in the stream. Fish composition analysis showed that Zacco platypus (pale chub, Cyprinidae) was the most dominant fish species in the stream, while sensitive fish species disappeared over time. Analysis of the Pearson correlation network revealed that water quality parameters were negatively correlated with trophic and tolerance indicators. Average multi-metric values of water pollution index from 2010 to 2016 ranged from 15 to 19 in the stream, indicating fair to poor chemical health. The modeled values of the multi-metric index based on biological integrity matched those of the chemical model. Moreover, the results of trophic and tolerance indicator analyses matched the chemical results. This outcome suggested that biological ecosystem health is directly influenced by chemical pollution.



中文翻译:

使用化学和生物多指标模型进行河流健康评估及其与鱼类营养和耐性指标的关系

论山溪是锦江的支流,受到流域的城市化和农业活动的强烈影响。本研究使用多指标水污染指数(WPI)和生物完整性指数(IBI)模型诊断了2010年至2016年河流的化学和生物健康状况。季风季节直接影响溪流水化学的每月和每年变化。7月和8月发生了总磷,悬浮固体和离子物质的输入,以及总氮的稀释。叶绿素的增加在很大程度上受总磷(R 2  = 0.43,p  <0.01),总氮与总磷之比(R 2  = 0.54,p <0.01)和电导率(R 2  = 0.81,p  <0.01)。主成分分析表明,由于河中营养物质和有机质的污染,杂食性和耐性物种的丰度高于食虫性和敏感物种。鱼的成分分析表明,Zacco platypus(淡,鲤科)是河流中最主要的鱼类,而敏感的鱼类则随时间消失。对Pearson相关网络的分析显示,水质参数与营养和耐受指标负相关。从2010年到2016年,水污染指数的平均多指标值介于15到19之间,表明化学健康状况从中等到差。基于生物学完整性的多指标指标的建模值与化学模型的建模值匹配。此外,营养和耐受指标分析的结果与化学结果相符。这一结果表明,生物生态系统的健康直接受到化学污染的影响。

更新日期:2020-01-09
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