Ecological Informatics

Ecological Informatics is defined as the design and application of computational techniques for ecological analysis, synthesis, forecasting and management. The book provides an introduction to the scope, concepts and techniques of this newly emerging discipline. It illustrates numerous applications of Ecological Informatics for stream systems, river systems, freshwater lakes and marine systems as well as image recognition at micro and macro scale. Case studies focus on applications of artificial neural networks, genetic algorithms, fuzzy logic and adaptive agents to current ecological management issues such as toxic algal blooms, eutrophication, habitat degradation, conservation of biodiversity and sustainable fishery TOC:Artificial neural networks.- Fuzzy logic.- Adaptive agents.- Predictive modeling and simulation.- Knowledge discovery.- Sensitivity analysis.- Principal component analysis.- Multiple nonlinear regression.- Time series analysis.- Bioassessment of freshwater habitats.- Forecasting of toxic algal blooms.- Sustainable fisheries.- Conservation of biodiversity.- Automated classification of plankton.- Automated classification of remotely sensed landscapes.