Next Article in Journal / Special Issue
Putting Flow–Ecology Relationships into Practice: A Decision-Support System to Assess Fish Community Response to Water-Management Scenarios
Previous Article in Journal
Mapping Palaeohydrography in Deserts: Contribution from Space-Borne Imaging Radar
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessArticle
Water 2017, 9(3), 195; doi:10.3390/w9030195

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

1
Laboratory of Environmental Toxicology and Aquatic Ecology, Department of Applied Ecology and Environmental Biology, Ghent University, Coupure Links 653, 9000 Ghent, Belgium
2
BIOMATH, Department of Mathematical Modelling, Statistics and Bio-informatics, Ghent University, Coupure Links 653, 9000 Ghent, Belgium
3
PROMAS, Programa para el manejo del agua y del suelo, Universidad de Cuenca, Av. 12 de abril s/n y Agustín Cueva, 010103 Cuenca, Ecuador
4
Asociación de Consultores Técnicos ACOTECNIC Cia. Ltda. Ecuador, Aguaruna s/n y Autopista Cuenca Azogues, 010109 Cuenca, Ecuador
5
Empresa Pública Municipal de Telecomunicaciones, Agua Potable, Alcantarillado y Saneamiento–ETAPA EP. Ecuador, Benigno Malo No. 7-78 y Mariscal Sucre, 010101 Cuenca, Ecuador
*
Author to whom correspondence should be addressed.
Academic Editor: Benoit Demars
Received: 28 December 2016 / Accepted: 3 March 2017 / Published: 8 March 2017

Abstract

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. View Full-Text
Keywords: generalized linear models; predictive models; decision support in water management; generalized linear modeling generalized linear models; predictive models; decision support in water management; generalized linear modeling
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Jerves-Cobo, R.; Everaert, G.; Iñiguez-Vela, X.; Córdova-Vela, G.; Díaz-Granda, C.; Cisneros, F.; Nopens, I.; Goethals, P.L.M. A Methodology to Model Environmental Preferences of EPT Taxa in the Machangara River Basin (Ecuador). Water 2017, 9, 195.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top