Research Explorer

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Researcher

Andy Dedecker

Awards & Distinctions

14 Results

2005

Development of habitat and migration models for the prediction of macroinvertebrates in rivers

Andy DedeckerNiels De PauwPeter Goethals

2004

Development of migration models for macroinvertebrates in the Zwalm river basin as a tool in river assessment and restoration management

Andy DedeckerKoen Van MelckebekePeter GoethalsNiels De Pauw

A4 Journal Article in COMMUNICATIONS IN AGRICULTURAL AND APPLIED BIOLOGICAL SCIENCES

Impact study of physical habitat restoration on aquatic macroinvertebrates in rivers by means of neural networks and migration models: case study of the mayfly Baetis (Insecta - Ephemeroptera)

Andy DedeckerK VAN MELCKEBEKETom D'HeygerePeter GoethalsNiels De Pauw

Optimization of Artificial Neural Network (ANN) model design for prediction of macroinvertebrates in the Zwalm river basin (Flanders, Belgium)

Andy DedeckerPeter GoethalsWim GabrielsNiels De Pauw

A1 Journal Article in ECOLOGICAL MODELLING

2003

Coupling ecosystem valuation methods to the WAECO decision support system in the Zwalm Catchment (Belgium)

Peter GoethalsJan BoumaD FrançoisTom D'HeygereAndy DedeckerVeronique AdriaenssensNiels De Pauw

Development of a monitoring network to model the habitat suitability of macroinvertebrates in the Zwalm river basin (Flanders, Belgium)

Thibault D'HeygerePeter GoethalsAndy DedeckerNiels De Pauw

Overview and quantification of the factors affecting the upstream and downstream movements of Gammarus pulex (Amphipoda)

Andy DedeckerPeter GoethalsNiels De Pauw

A4 Journal Article in COMMUNICATIONS IN AGRICULTURAL AND APPLIED BIOLOGICAL SCIENCES

2002

Comparison of artificial neural network (ANN) model development methods for prediction of macroinvertebrate communities in the Zwalm river basin in Flanders, Belgium

Andy DedeckerPeter GoethalsNiels De Pauw

A2 Journal Article in THE SCIENTIFIC WORLD JOURNAL

Development of a decision support system for integrated water management in the Zwalm river basin, Belgium.

Tom D'HeygereVeronique AdriaenssensAndy DedeckerWim GabrielsPeter GoethalsNiels De Pauw

A4 Journal Article in MEDEDELINGEN VAN DE FACULTEIT LANDBOUWKUNDIGE EN TOEGEPASTE BIOLOGISCHE WETENSCHAPPEN, UNIVERSITEIT GENT

Optimisation of Artificial Neural Network (ANN) model design for prediction of macroinvertebrate communities in the Zwalm river basin (Flanders, Belgium)

Andy DedeckerPeter GoethalsWim GabrielsNiels De Pauw

Relations between structural characteristics and macroinvertebrate communities in the Zwalm river basin at different spatial scales

Veronique AdriaenssensTom D'HeygereAndy DedeckerPeter GoethalsNiels De Pauw

A4 Journal Article in MEDEDELINGEN VAN DE FACULTEIT LANDBOUWKUNDIGE EN TOEGEPASTE BIOLOGISCHE WETENSCHAPPEN, UNIVERSITEIT GENT

Use of Artificial Neural Networks (ANNs) and Geographical Information Systems (GIS) to simulate the migration of macroinvertebrates in the Zwalm river basin (Flanders, Belgium).

Andy DedeckerPeter GoethalsTom D'HeygereNiels De Pauw

A4 Journal Article in MEDEDELINGEN VAN DE FACULTEIT LANDBOUWKUNDIGE EN TOEGEPASTE BIOLOGISCHE WETENSCHAPPEN, UNIVERSITEIT GENT

2001

Development of river ecosystem models for Flemish watercourses: case studies in the Zwalm river basin.

Peter GoethalsAndy DedeckerN RAESVeronique AdriaenssensWim GabrielsNiels De Pauw

A4 Journal Article in MEDEDELINGEN VAN DE FACULTEIT LANDBOUWKUNDIGE EN TOEGEPASTE BIOLOGISCHE WETENSCHAPPEN, UNIVERSITEIT GENT

River management applications of ecosystem models predicting aquatic macroinvertebrate communities based on artificial neural networks (ANNs).

Andy DedeckerPeter GoethalsWim GabrielsNiels De Pauw

A4 Journal Article in MEDEDELINGEN VAN DE FACULTEIT LANDBOUWKUNDIGE EN TOEGEPASTE BIOLOGISCHE WETENSCHAPPEN, UNIVERSITEIT GENT

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