Modelling Community Structure in Freshwater Ecosystems - Lek, Sovan; Scardi, Michele; Verdonschot, P.F.M.; Descy, J.-P.; Park, Young-Seuk.; SpringerLink (Online service) (Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005)
Fish community assemblages -- Patterning riverine fish assemblages using an unsupervised neural network -- Predicting fish assemblages in France and evaluating the influence of their environmental variables -- Fish diversity conservation and river restoration in southwest France: a review -- Modelling of freshwater fish and macro-crustacean assemblages for biological assessment in New Zealand -- A Comparison of various fitting techniques for predicting fish yield in Ubolratana reservoir (Thailand) from a time series data -- Patterning spatial variations in fish assemblage structures and diversity in the Pilica River system -- Optimisation of artificial neural networks for predicting fish assemblages in rivers -- General introduction -- Macroinvertebrate community assemblages -- Sensitivity and robustness of a stream model based on artificial neural networks for the simulation of different management scenarios -- A neural network approach to the prediction of benthic macroinvertebrate fauna composition in rivers -- Predicting Dutch macroinvertebrate species richness and functional feeding groups using five modelling techniques -- Comparison of clustering and ordination methods implemented to the full and partial data of benthic macroinvertebrate communities in streams and channels -- Prediction of macroinvertebrate diversity of freshwater bodies by adaptive learning algorithms -- Hierarchical patterning of benthic macroinvertebrate communities using unsupervised artificial neural networks -- Species spatial distribution and richness of stream insects in south-western France using artificial neural networks with potential use for biosurveillance -- Patterning community changes in benthic macroinvertebrates in a polluted stream by using artificial neural networks -- Patterning, predicting stream macroinvertebrate assemblages in Victoria (Australia) using artificial neural networks and genetic algorithms -- Using bioindicators to assess rivers in Europe: An overview -- Diatom and other algal assemblages -- Applying case-based reasoning to explore freshwater phytoplankton dynamics -- Modelling community changes of cyanobacteria in a flow regulated river (the lower Nakdong River, S. Korea) by means of a Self-Organizing Map (SOM) -- Use of artificial intelligence (MIR-max) and chemical index to define type diatom assemblages in Rhône basin and Mediterranean region -- Classification of stream diatom communities using a self-organizing map -- Diatom typology of low-impacted conditions at a multi-regional scale: combined results of multivariate analyses and SOM -- Prediction with artificial neural networks of diatom assemblages in headwater streams of Luxembourg -- Use of neural network models to predict diatom assemblages in the Loire-Bretagne basin (France) -- Review of modelling techniques -- Development of community assessment techniques -- Evaluation of relevant species in communities: development of structuring indices for the classification of communities using a self-organizing map -- Projection pursuit with robust indices for the analysis of ecological data -- A framework for computer-based data analysis and visualisation by pattern recognition -- A rule-based vs. a set-covering implementation of the knowledge system LIMPACT and its significance for maintenance and discovery of ecological knowledge -- Predicting macro-fauna community types from environmental variables by means of support vector machines -- User interface tool -- General conclusions and perspectives.
Keywords: Ecotoxicology; Ecosystems; Geoecology; Environmental geology; Applied ecology; Environmental sciences; Bioinformatics .; Computational biology .; Ecotoxicology; Ecosystems; Geoecology/Natural Processes; Applied Ecology; Math. Appl. in Environmental Science; Computer Appl. in Life Sciences