Muncie Sanitary District Bureau of Water Quality, 5150 W. Kilgore Ave, Muncie, Indiana, 47304, USA.
Department of Biological and Physical Sciences, University of Mount Olive, 634 Henderson Street, Mount Olive, NC, 28365, USA.
Environ Monit Assess. 2018 Nov 1;190(12):695. doi: 10.1007/s10661-018-7024-5.
The importance of monitoring anthropogenic changes in a lotic system is not limited to chemical water quality monitoring. The addition of biological monitoring allows fish to be used as bioindicators because of their varying tolerance to pollution. For this study, we utilized long-term water quality and fish data to evaluate temporal changes brought on by passage of the Clean Water Act (1972). Non-metric multidimensional scaling (NMS) was used to describe changes in the fish community and also heavy metal concentrations of the West Fork White River in Muncie, Indiana, USA, over the past 33 years. A linear mixed effects model was used to evaluate the relationship between heavy metal concentrations and the fish community. The NMS results for both heavy metals and fish were separated into distinct decadal clusters. The shift in fish community data represented by NMS axis 1 was characterized by a drop in pollution-tolerant species and an increase in intolerant species. Decreases in heavy metal concentrations of chromium, zinc, and lead were also significant predictors of changes in the fish community. All NMS fish axis had a positive slope indicating an increase in intolerant species as heavy metal concentrations decreased. Our findings indicate that the water quality improvements documented in the West Fork White River have directly impacted its local fish community.
监测流水系统人为变化的重要性不仅限于化学水质监测。通过生物监测,鱼类可以用作生物指标,因为它们对污染的耐受能力不同。在这项研究中,我们利用长期的水质和鱼类数据来评估 1972 年《清洁水法案》(Clean Water Act)通过后带来的时间变化。非度量多维标度(Non-metric Multidimensional Scaling,NMS)用于描述美国印第安纳州芒西市西怀特河鱼类群落和重金属浓度在过去 33 年中的变化。线性混合效应模型用于评估重金属浓度与鱼类群落之间的关系。重金属和鱼类的 NMS 结果分为明显的十年聚类。NMS 轴 1 代表的鱼类群落数据的转变特征是耐受污染物种的减少和不耐受物种的增加。铬、锌和铅的重金属浓度下降也是鱼类群落变化的重要预测因素。所有 NMS 鱼类轴都有一个正斜率,表明随着重金属浓度的降低,不耐受物种的数量增加。我们的研究结果表明,西怀特河记录的水质改善直接影响了其当地的鱼类群落。