A methodology to model environmental preferences of EPT taxa in the Machangara river basin (Ecuador)

dc.contributor.authorJerves Cobo, Rubén Fernando
dc.contributor.authorEveraert, Gert
dc.contributor.authorIñiguez Vela, Xavier Patricio
dc.contributor.authorCórdova Vela, Gonzalo Esteban
dc.contributor.authorDíaz Granda, Catalina Monserrat
dc.contributor.authorCisneros Espinoza, Felipe Eduardo
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.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.identifier.doi10.3390/w9030195
dc.identifier.issn2073-4441
dc.identifier.urihttps://www.mdpi.com/2073-4441/9/3/195
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.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.areaconocimientofrascatiamplio1. Ciencias Naturales y Exactas
dc.ucuenca.areaconocimientofrascatidetallado1.5.10 Recursos Hídricos
dc.ucuenca.areaconocimientofrascatiespecifico1.5 Ciencias de la Tierra y el Ambiente
dc.ucuenca.areaconocimientounescoamplio05 - Ciencias Físicas, Ciencias Naturales, Matemáticas y Estadísticas
dc.ucuenca.areaconocimientounescodetallado0521 - Ciencias Ambientales
dc.ucuenca.areaconocimientounescoespecifico052 - Medio Ambiente
dc.ucuenca.correspondenciaJerves Cobo, Ruben Fernando, rubenf.jervesc@ucuenca.edu.ec
dc.ucuenca.cuartilQ1
dc.ucuenca.factorimpacto0.66
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.ucuenca.indicebibliograficoSCOPUS
dc.ucuenca.numerocitaciones9697
dc.ucuenca.urifuentehttps://www.mdpi.com/journal/water
dc.ucuenca.versionVersión publicada
dc.ucuenca.volumenVolumen 9, Número 3

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