Department of Fisheries Sciences, Faculty of Natural Resources, University of Guilan, Guilan, Rasht, Iran.
Department of Biology, Faculty of Science, University of Mohaghegh Ardabili, Ardabil, Iran.
Environ Sci Pollut Res Int. 2021 Mar;28(12):15339-15349. doi: 10.1007/s11356-020-11660-9. Epub 2020 Nov 24.
Although the macroinvertebrates have been widely used as bio-indicator for river water quality assessment in developed countries, its application is new in Iran and data on the health status of the most ecologically important rivers in Iran is scarce. The present study aimed at monitoring and assessing the ecological quality of Aghlagan river, northwest of Iran, using integrated physicochemical-biological approaches. A total of 14,423 samplings were carried out from the headwater to downstream sites at four stations (S1, 2, 3, 4) by a Surber sampler (30 cm × 30 cm) from June 2018 to April 2019. The results obtained from macroinvertebrate biotic index revealed that the genera of Gammarus (Amphipoda) and Baetis (Ephemeroptera) were the most abundant in all seasons. The PAST software was applied to analyze the diversity indices (Shannon-Weiner diversity, Evenness, and Simpson indices). Based on the cluster analysis, S3 established the least similarity to other stations. The average frequency of each macroinvertebrate species was determined by one-factor analysis of similarities (ANOSIM). In accordance with canonical correspondence analysis (CCA), temperature and phosphate were found as the dominant factors effecting the macroinvertebrate assemblage and distribution. Moreover, the results obtained from the biological indices concluded very good quality of S4 by Helsinhoff and EPT indices and fair quality using BMWP index. The data on the macrobenthos assemblage and dynamics in the Aghlagan river across a hydraulic gradient provided useful information on water management efforts that assist us to find sustainable solutions for the enhanced quality of the river by balancing environmental and human values.
尽管在发达国家，大型无脊椎动物已被广泛用作河流水质评估的生物指标，但在伊朗，其应用尚属新领域，而且关于伊朗最重要的生态河流健康状况的数据也很匮乏。本研究旨在采用综合理化-生物方法监测和评估伊朗西北部的 Aghlagan 河的生态质量。从 2018 年 6 月到 2019 年 4 月，通过 Surber 采样器（30 cm×30 cm）在四个站点（S1、2、3、4）从源头到下游采集了总共 14,423 个样本。从宏观无脊椎动物生物指数得出的结果表明，在所有季节中，属长臂虾（甲壳纲）和蜉蝣（蜉蝣目）的个体数量最多。使用 PAST 软件分析了多样性指数（香农-威纳多样性、均匀度和辛普森指数）。根据聚类分析，S3 与其他站点的相似性最低。通过相似性分析（ANOSIM）确定了每个大型无脊椎动物物种的平均频率。根据典范对应分析（CCA），温度和磷酸盐被发现是影响大型无脊椎动物组合和分布的主要因素。此外，生物指数的结果表明，根据 Helsinhoff 和 EPT 指数，S4 的水质非常好，而根据 BMWP 指数，S4 的水质为中等。Aghlagan 河流的大型底栖动物组合和动态数据为水力梯度提供了有用的信息，有助于我们通过平衡环境和人类价值，为提高河流的质量找到可持续的解决方案。
