Ruben Jerves-Cobo

Dr. Ruben Jerves-Cobo

Ghent University, Belgium
+1
orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 January 2022 in Environmental Science and Pollution Research
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Long HoLong Ho
Long Ho
Ruben Jerves-CoboRuben Jerves-Cobo
Ruben Jerves-Cobo
MBMatti Barthel
Matti Barthel
JSJohan Six
Johan Six
SBSamuel Bode
Samuel Bode
PGPeter Goethals
Peter Goethals

1 January 2020 in Ecological Indicators
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Journal Article
Closed access
Ruben Jerves-CoboRuben Jerves-Cobo
Ruben Jerves-Cobo
Marie Anne Eurie ForioMarie Anne Eurie Forio
Marie Anne Eurie Forio
KLKoen Lock
Koen Lock
JBJana Van Butsel
Jana Van Butsel
GPGuillermina Pauta
Guillermina Pauta
PGPeter L.M. Goethals
Peter L.M. Goethals

1 April 2021 in Water Research
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Journal Article
Closed access
Long HoLong Ho
Long Ho
Ruben Jerves-CoboRuben Jerves-Cobo
Ruben Jerves-Cobo
OMOscar Morales
Oscar Morales
JLJosue Larriva
Josue Larriva
MAMaria Arevalo-Durazno
Maria Arevalo-Durazno
PGPeter Goethals
Peter Goethals

1 March 2020 in Science of The Total Environment
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Journal Article
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Ruben Jerves-CoboRuben Jerves-Cobo
Ruben Jerves-Cobo
LBLorenzo Benedetti
Lorenzo Benedetti
YAYouri Amerlinck
Youri Amerlinck
KLKoen Lock
Koen Lock
CMChaim De Mulder
Chaim De Mulder
INIngmar Nopens
Ingmar Nopens

8 March 2017 in Water
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Journal Article
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Ruben Jerves-CoboRuben Jerves-Cobo
Ruben Jerves-Cobo
GEGert Everaert
Gert Everaert
XIXavier Iñiguez-Vela
Xavier Iñiguez-Vela
GCGonzalo Córdova-Vela
Gonzalo Córdova-Vela
CDCatalina Díaz-Granda
Catalina Díaz-Granda
Peter GoethalsPeter Goethals
Peter Goethals
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.

1 September 2021 in Journal of Environmental Management
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Journal Article
Closed access
Long HoLong Ho
Long Ho
Ruben Jerves-CoboRuben Jerves-Cobo
Ruben Jerves-Cobo
Marie Anne Eurie ForioMarie Anne Eurie Forio
Marie Anne Eurie Forio
AMAns Mouton
Ans Mouton
INIngmar Nopens
Ingmar Nopens
PGPeter Goethals
Peter Goethals