TY - JOUR
T1 - A methodology to model environmental preferences of EPT taxa in the Machangara River Basin (Ecuador)
AU - Jerves-Cobo, Rubén
AU - Everaert, Gert
AU - Iñiguez-Vela, Xavier
AU - Córdova-Vela, Gonzalo
AU - Díaz-Granda, Catalina
AU - Cisneros, Felipe
AU - Nopens, Ingmar
AU - Goethals, Peter L.M.
N1 - Publisher Copyright:
© 2017 by the authors.
PY - 2017
Y1 - 2017
N2 - Rivers 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.
AB - Rivers 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.
KW - Decision support in water management;generalized linear modeling
KW - Generalized linear models
KW - Predictive models
UR - https://www.scopus.com/pages/publications/85014906030
U2 - 10.3390/w9030195
DO - 10.3390/w9030195
M3 - Artículo
AN - SCOPUS:85014906030
SN - 2073-4441
VL - 9
JO - Water (Switzerland)
JF - Water (Switzerland)
IS - 3
M1 - 195
ER -