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Mathematical Evaluation of Response Behaviors of Indicator Organisms to Toxic Materials  

Chon, Tae-Soo (Department of Biological Sciences, Pusan National University)
Ji, Chang-Woo (Department of Biological Sciences, Pusan National University)
Publication Information
Environmental Analysis Health and Toxicology / v.23, no.4, 2008 , pp. 231-245 More about this Journal
Abstract
Various methods for detecting changes in response behaviors of indicator specimens are presented for monitoring effects of toxic treatments. The movement patterns of individuals are quantitatively characterized by statistical (i.e., ANOVA, multivariate analysis) and computational (i.e., fractal dimension, Fourier transform) methods. Extraction of information in complex behavioral data is further illustrated by techniques in ecological informatics. Multi-Layer Perceptron and Self-Organizing Map are applied for detection and patterning of response behaviors of indicator specimens. The recent techniques of Wavelet analysis and line detection by Recurrent Self-Organizing Map are additionally discussed as an efficient tool for checking time-series movement data. Behavioral monitoring could be established as new methodology in integrative ecological assessment, tilling the gap between large-scale (e.g., community structure) and small-scale (e.g., molecular response) measurements.
Keywords
behavioral monitoring; computational behavior; risk assessment; ecological informatics; toxic effects; response behavior;
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