A multimetric macroinvertebrate index for assessing the water quality of the Cau river basin in Vietnam

Nguyen, Hong Hanh; Everaert, Gert; Gabriëls, Wim; Hoang, Hong Hai; Goethals, Peter

doi:10.1016/j.limno.2013.10.001

Cited by 55 publications

(50 citation statements)

References 26 publications

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“…A multimetric approach to assess the biological quality of running waters according to the EU WFD requirements has been well developed not only in the Member States but also in other countries Cuadrado et al, 2013;Nguyen et al, 2014;Touron-Poncet et al, 2014). In Poland, a new multimetric MMI PL index combines six key metrics within different metric categories (AQEM Consortium, 2002;Bis, 2012).…”

Section: Discussionmentioning

confidence: 99%

Application of the new multimetric MMI_PL index for biological water quality assessment in reference and human-impacted streams (Poland, the Slovak Republic)

Lewin¹,

Jusik²,

Szoszkiewicz³

et al. 2014

Limnologica

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a b s t r a c tA new multimetric MMI PL index, which is based on the macroinvertebrate composition and combines six single key metrics, has already been implemented in Poland according to the requirements of the EU Water Framework Directive. The objectives of our survey were to assess the biological water quality using the new multimetric MMI PL index in both reference and human-impacted streams, to analyze whether the values of the new multimetric index properly reflect the ecological status of the water in upland and mountain streams as well as to determine which environmental factors influence the distribution of benthic macroinvertebrates and the values of the metrics. The study was carried out from 2007 to 2010 in three Ecoregions that were established by the EU WFD. A total of 60 sampling sites: 36 reference sites that were situated in the headwaters of mountain streams at mid-and high-altitudes and 24, humanimpacted sampling sites were selected. The benthic macroinvertebrate surveys were supported by both a hydromorphological and macrophyte assessment according to the River Habitat Survey (RHS) and to the Macrophyte Methods for Rivers. Canonical correspondence analysis (CCA) showed that the values of the Habitat Quality Assessment (HQA) index, conductivity, pH and altitude were the parameters most associated (statistically significant) with the distribution of benthic macroinvertebrate taxa and the values of the metrics in both the reference and human-impacted (impaired) sections of the streams in Ecoregions 9, 10 and 14. The new MMI PL index was useful for biological water quality assessment and was also important for separating both the reference and impaired sections of streams. The MMI PL index and some key metrics performed contrary to what was expected in relation to the reference high-altitude siliceous streams (the High Tatra Mts., Ecoregion 10). Low values of multimetric index and key metrics did not properly reflect their high ecological status and pristine character as reflected by the hydromorphological (RHS) and macrophyte surveys or the physical and chemical parameters of the water.

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Section: Discussionmentioning

confidence: 99%

Application of the new multimetric MMI_PL index for biological water quality assessment in reference and human-impacted streams (Poland, the Slovak Republic)

Lewin¹,

Jusik²,

Szoszkiewicz³

et al. 2014

Limnologica

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“…Collinearity between explanatory variables were computed with a non-parametric Spearman rank correlation coefficient, which is regularly used in ecology because this parameter makes no assumptions about linearity between the two variables [36,39]. Variables are not omitted for the construction of a model, when the Spearman correlation coefficient is lower than 0.80, since this means that no strong correlation is detected and no redundant variables are identified [36,40,41].…”

Section: Model Development Selection Validation and Optimizationmentioning

confidence: 99%

A Methodology to Model Environmental Preferences of EPT Taxa in the Machangara River Basin (Ecuador)

Jerves-Cobo

Everaert

Iñiguez-Vela³

et al. 2017

Water

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Rivers have been frequently assessed based on the presence of the EphemeropteraPlecoptera-Trichoptera (EPT) taxa in order to determine the water quality status and develop conservation programs. This research evaluates the abiotic preferences of three families of the EPT taxa Baetidae, Leptoceridae and Perlidae in the Machangara River Basin located in the southern Andes of Ecuador. With this objective, using generalized linear models (GLMs), we analyzed the relation between the probability of occurrence of these pollution-sensitive macroinvertebrates families and physicochemical water quality conditions. The explanatory variables of the constructed GLMs differed substantially among the taxa, as did the preference range of the common predictors. In total, eight variables had a substantial influence on the outcomes of the three models. For choosing the best predictors of each studied taxa and for evaluation of the accuracy of its models, the Akaike information criterion (AIC) was used. The results indicated that the GLMs can be applied to predict either the presence or the absence of the invertebrate taxa and moreover, to clarify the relation to the environmental conditions of the stream. In this manner, these modeling tools can help to determine key variables for river restoration and protection management.

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“…The highest abundance of this order was recorded in S1, where the water quality is good. Other insects restricted to this sector are Plecoptera and Ephemeroptera, which are dependent on water quality, these individuals being the most demanding within the group of macroinvertebrates in water quality [10][11].…”

Section: Determination Of Water Quality Through Biotic and Diversity mentioning

confidence: 99%

“…Currently, new indices have been generated based on these indicators using computational methods, in order to reduce the intrinsic uncertainties and subjectivities of environmental problems [9]. However, in order to provide information on the historical state of a water body and not just at the moment of sampling, multi-metric indices have been developed using bio indicators [10]. Among the most frequently, used bio indicators in the assessment of water quality are the macroinvertebrate and benthic algal communities, as they have a wide geographic distribution and respond rapidly to environmental changes [11].…”

Section: Introductionmentioning

confidence: 99%

Quality of the aquatic environment of high Andean rivers evaluated through environmental indicators: a case of the Cunas River, Peru

Custodio

Chávez²

2019

Ingeniare. Rev. chil. ing.

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A multimetric macroinvertebrate index for assessing the water quality of the Cau river basin in Vietnam

Cited by 55 publications

References 26 publications

Application of the new multimetric MMI_PL index for biological water quality assessment in reference and human-impacted streams (Poland, the Slovak Republic)

Application of the new multimetric MMI_PL index for biological water quality assessment in reference and human-impacted streams (Poland, the Slovak Republic)

A Methodology to Model Environmental Preferences of EPT Taxa in the Machangara River Basin (Ecuador)

Quality of the aquatic environment of high Andean rivers evaluated through environmental indicators: a case of the Cunas River, Peru

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