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dc.contributor.authorJerves Cobo, Ruben Fernando-
dc.contributor.authorEveraert, Gert-
dc.contributor.authorIñiguez Vela, Xavier Patricio-
dc.contributor.authorCordova Vela, Gonzalo Esteban-
dc.contributor.authorDiaz Granda, Catalina Monserrat-
dc.contributor.authorCisneros Espinosa, Felipe Eduardo francisco-
dc.contributor.authorNopens, Ingmar-
dc.contributor.authorGoethals, Peter L-
dc.date.accessioned2018-01-11T16:47:57Z-
dc.date.available2018-01-11T16:47:57Z-
dc.date.issued2017-
dc.identifier.issn2073-4441-
dc.identifier.urihttps://www.mdpi.com/2073-4441/9/3/195-
dc.descriptionRivers have been frequently assessed based on the presence of the Ephemeroptera— Plecoptera—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.-
dc.description.abstractRivers have been frequently assessed based on the presence of the Ephemeroptera— Plecoptera—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.-
dc.language.isoes_ES-
dc.sourceWater-
dc.subjectGeneralized linear models-
dc.subjectPredictive models-
dc.subjectDecision support in water management-
dc.subjectGeneralized linear modeling-
dc.titleA methodology to model environmental preferences of EPT taxa in the Machangara river basin (Ecuador)-
dc.typeARTÍCULO-
dc.ucuenca.idautor0102017027-
dc.ucuenca.idautor0000-0003-4305-0617-
dc.ucuenca.idautor0102597853-
dc.ucuenca.idautor0103417697-
dc.ucuenca.idautor0102295573-
dc.ucuenca.idautor0101045540-
dc.ucuenca.idautor0000-0001-6670-3700-
dc.ucuenca.idautor0000-0003-1168-6776-
dc.identifier.doi10.3390/w9030195-
dc.ucuenca.versionVersión publicada-
dc.ucuenca.areaconocimientounescoamplio05 - Ciencias Físicas, Ciencias Naturales, Matemáticas y Estadísticas-
dc.ucuenca.afiliacionJerves, R., Universiteit Gent, Gent, Belgica; Jerves, R., Universidad de Cuenca, PROMAS, Cuenca, Ecuador-
dc.ucuenca.afiliacionEveraert, G., Universiteit Gent, Gent, Belgica-
dc.ucuenca.afiliacionIñiguez, X., Investigador Independiente, Cuenca, Ecuador-
dc.ucuenca.afiliacionCordova, G., Investigador Independiente, Cuenca, Ecuador-
dc.ucuenca.afiliacionDiaz, C., ETAPA, Cuenca , Ecuador-
dc.ucuenca.afiliacionCisneros, F., Universidad de Cuenca, PROMAS, Cuenca, Ecuador-
dc.ucuenca.afiliacionNopens, I., Universiteit Gent, Gent, Belgica-
dc.ucuenca.afiliacionGoethals, P., Universiteit Gent, Gent, Belgica-
dc.ucuenca.correspondenciaJerves Cobo, Ruben Fernando, rubenf.jervesc@ucuenca.edu.ec-
dc.ucuenca.volumenVolumen 9, Número 3-
dc.ucuenca.indicebibliograficoSCOPUS-
dc.ucuenca.factorimpacto0.66-
dc.ucuenca.cuartilQ1-
dc.ucuenca.numerocitaciones9697-
dc.ucuenca.areaconocimientofrascatiamplio1. Ciencias Naturales y Exactas-
dc.ucuenca.areaconocimientofrascatiespecifico1.5 Ciencias de la Tierra y el Ambiente-
dc.ucuenca.areaconocimientofrascatidetallado1.5.10 Recursos Hídricos-
dc.ucuenca.areaconocimientounescoespecifico052 - Medio Ambiente-
dc.ucuenca.areaconocimientounescodetallado0521 - Ciencias Ambientales-
dc.ucuenca.urifuentehttps://www.mdpi.com/journal/water-
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