2015
DOI: 10.1016/j.limno.2014.10.006
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A new fish-based multi-metric assessment index for cyprinid streams in the Iranian Caspian Sea Basin

Abstract: A major issue for water resource management is the assessment of environmental degradation of lotic ecosystems. The overall aim of this study is to develop a multi-metric fish index for the cyprinid streams of the Caspian Sea Basin (MMICS) in Iran. As species diversity and composition as well as population structure in the studied streams are different to other regions, there is a substantial need to develop a new fish index. We sampled fish and environmental data of 102 sites in medium sized streams. We analy… Show more

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Cited by 31 publications
(41 citation statements)
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“…In this context, the metric "percentage of rheophilic species" was informative enough to discriminate intermediate conditions from the reference. The importance of rheophilic species as bioindicators has been documented in other studies (Terra et al 2013b, Mostafavi et al 2015. Armored catfishes, which have benthic and periphytivorous habits (Teresa and Casatti 2012), compose this functional group.…”
Section: Discussionmentioning
confidence: 71%
“…In this context, the metric "percentage of rheophilic species" was informative enough to discriminate intermediate conditions from the reference. The importance of rheophilic species as bioindicators has been documented in other studies (Terra et al 2013b, Mostafavi et al 2015. Armored catfishes, which have benthic and periphytivorous habits (Teresa and Casatti 2012), compose this functional group.…”
Section: Discussionmentioning
confidence: 71%
“…There are several approaches for scoring the selected metrics (Blocksom 2003). The reference sites have a key role in scoring; reference sites with minimum disturbance can be used to determine optimal scores (Quataert et al 2011;Mostafavi et al 2015). If the reference conditions are not available, preclassification systems can be used (e.g., Fame manual 2004; Quataert et al 2011).…”
Section: Selection Of the Final Metricsmentioning
confidence: 99%
“…The validity of the index can be tested by internal or external datasets (Oberdorff et al 2002;Mostafavi et al 2015). An independent dataset including both pristine and impacted sites from water bodies with features similar to those used to develop the index is required for the external validation.…”
Section: Validationmentioning
confidence: 99%
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