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引用本文的文献

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3
A fish-based multi-metric assessment index in the Karun River basin, Iran.伊朗卡伦河流域基于鱼类的多指标评估指数
River Res Appl. 2022 Jan 3;38(3):573-594. doi: 10.1002/rra.3920.

本文引用的文献

1
Developing reference criteria for the ecological status of West African rivers.制定西非河流生态状况的参考标准。
Environ Monit Assess. 2017 Dec 2;190(1):2. doi: 10.1007/s10661-017-6360-1.
2
Identifying congruence in stream assemblage thresholds in response to nutrient and sediment gradients for limit setting.为了确定限制因素,识别在养分和沉积物梯度下河流综合阈值响应中的一致性。
Ecol Appl. 2017 Mar;27(2):469-484. doi: 10.1002/eap.1457. Epub 2017 Feb 17.
3
A new fish-based multi-metric assessment index for cyprinid streams in the Iranian Caspian Sea Basin.伊朗里海盆地鲤科溪流一种基于鱼类的新多指标评估指数。
Limnologica. 2015 Mar;51:37-52. doi: 10.1016/j.limno.2014.10.006.
4
Monitoring and assessment of water health quality in the Tajan River, Iran using physicochemical, fish and macroinvertebrates indices.利用物理化学、鱼类和大型无脊椎动物指数监测和评估伊朗塔詹河的水健康质量。
J Environ Health Sci Eng. 2015 Apr 16;13:29. doi: 10.1186/s40201-015-0186-y. eCollection 2015.
5
Assessment of ecological quality of the Tajan River in Iran using a multimetric macroinvertebrate index and species traits.利用多指标大型无脊椎动物指数和物种特征评估伊朗塔扬河的生态质量。
Environ Manage. 2015 Jul;56(1):260-9. doi: 10.1007/s00267-015-0489-x. Epub 2015 Apr 11.
6
Climate warming and agricultural stressors interact to determine stream macroinvertebrate community dynamics.气候变暖与农业胁迫因子相互作用,决定了溪流大型无脊椎动物群落的动态变化。
Glob Chang Biol. 2015 May;21(5):1887-906. doi: 10.1111/gcb.12861. Epub 2015 Mar 6.
7
Multiple human pressures and their spatial patterns in European running waters.欧洲流动水域中的多种人类压力及其空间格局。
Water Environ J. 2012 Jun;26(2):261-273. doi: 10.1111/j.1747-6593.2011.00285.x.
8
Least Disturbed Condition for European Mediterranean rivers.欧洲地中海河流的最小干扰状态。
Sci Total Environ. 2014 Apr 1;476-477:745-56. doi: 10.1016/j.scitotenv.2013.05.056. Epub 2013 Jun 20.
9
Global threats to human water security and river biodiversity.全球人类水安全和河流生物多样性面临的威胁。
Nature. 2010 Sep 30;467(7315):555-61. doi: 10.1038/nature09440.
10
Water quality trend analysis for the Karoon River in Iran.伊朗卡鲁恩河水质趋势分析
Environ Monit Assess. 2007 Nov;134(1-3):305-12. doi: 10.1007/s10661-007-9621-6. Epub 2007 Mar 15.

界定中东某流域的干扰梯度

Defining a Disturbance Gradient in a Middle-Eastern River Basin.

作者信息

Shahraki Mojgan Zare, Dorche Eisa Ebrahimi, Fathi Pejman, Flotemersch Joseph, Blocksom Karen, Stribling James, Keivany Yazdan, Kashkooli Omid Beyraghdar, Scown Murray, Bruder Andreas

机构信息

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.

出版信息

Limnologica. 2021 Nov 1;91:1-13. doi: 10.1016/j.limno.2021.125923.

DOI:10.1016/j.limno.2021.125923
PMID:34898730
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8654181/
Abstract

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.

摘要

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。