Shahraki Mojgan Zare, Dorche Eisa Ebrahimi, Fathi Pejman, Flotemersch Joseph, Blocksom Karen, Stribling James, Keivany Yazdan, Kashkooli Omid Beyraghdar, Scown Murray, Bruder Andreas
Division of fisheries, Department of Natural Resources, Isfahan University of Technology, Isfahan 84156-83111, Iran.
U.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, Ohio, USA.
Limnologica. 2021 Nov 1;91:1-13. doi: 10.1016/j.limno.2021.125923.
A physical, chemical and biological characterization of river systems is needed to evaluate their ecological quality and support restoration programs. Herein, we describe an approach using water chemistry, physical structure and land use for identification of a disturbance gradient existing in the Karun River Basin. For this purpose, at each site, physical structure and physico-chemical data were collected once in each season for a total of 4 samples during the period (October 2018 - September 2019). Principal components analysis (PCA) of 17 variables identified five variables that were influential across all seasons: conductivity, total habitat score, stream morphology, clay & silt, and sand. Of the 54 sites, 14, 26 and 14 sites were classified as least, moderate and most disturbed sites, respectively. The metric Ephemeroptera, Plecoptera and Trichoptera (EPT) taxa was used for validation of the classification. Results in different seasons showed that all the least disturbed sites (n=14) were significantly different from moderate and most disturbed sites (p < 0.01). In this study the validation process presented a good confirmation of a priori reference sites selection process, showing that the proposed criteria could be considered as appropriate tools for characterization of the existent disturbance gradient in the Karun River Basin.
需要对河流系统进行物理、化学和生物学特征分析,以评估其生态质量并支持恢复计划。在此,我们描述一种利用水化学、物理结构和土地利用来识别卡伦河流域存在的干扰梯度的方法。为此,在每个站点,在每个季节采集一次物理结构和物理化学数据,在2018年10月至2019年9月期间共采集4个样本。对17个变量进行主成分分析(PCA),确定了在所有季节都有影响的5个变量:电导率、总栖息地得分、河流形态、黏土和粉砂以及砂。在54个站点中,分别有14个、26个和14个站点被分类为干扰最小、中度干扰和干扰最大的站点。使用蜉蝣目、襀翅目和毛翅目(EPT)分类单元指标对分类进行验证。不同季节的结果表明,所有干扰最小的站点(n = 14)与中度干扰和干扰最大的站点均存在显著差异(p < 0.01)。在本研究中,验证过程很好地证实了先验参考站点的选择过程,表明所提出的标准可被视为表征卡伦河流域现有干扰梯度的合适工具。