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Implementation of Fractal Dimension and Self-Organizing Map to Detect Toxic Effects of Toluene on Movement Tracks of Daphnia magna

机译:利用分形维数和自组织图检测甲苯对水蚤运动轨迹的毒性作用

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Movement behaviors of an indicator species, Daphnia magna, in response to contaminants have been implemented to monitor environmental disturbances. Complexity in movement tracks of Daphnia magna was characterized by use of fractal dimension and self-organizing map. The individual movement tracks of D. magna were continuously recorded for 24 hours before and after treatments with toluene at the concentration of 10 mg/L, respectively. The general complexity in movement tracks (10 minutes) was characterized by fractal dimension. Results showed that average fractal dimension of movement tracks was decreased from 1.62 to 1.22 after treatments. The instantaneous movement parameters of movement segments in 5 s were input into the self-organizing map to investigate the swimming pattern changes under stresses of toluene. Abnormal behaviors of D. magna are more frequently observed after treatments than before treatments. Computational methods in ecological informatics could be utilized to obtain the useful information in behavioral data of D. magna and would be further applied as an in situ monitoring tool in water environment.
机译:为了监测环境干扰,已经实施了指示物种(大型蚤)对污染物的移动行为。利用分形维数和自组织图来表征水蚤的运动轨迹的复杂性。在分别用浓度为10 6 mg / L的甲苯处理之前和之后的24小时内,连续记录了D. magna的各个运动轨迹。运动轨迹(10分钟)的一般复杂性由分形维数表征。结果表明,处理后运动轨迹的平均分形维数从1.62降低到1.22。在5 s内将运动段的瞬时运动参数输入到自组织图中,以研究在甲苯应力下游泳方式的变化。治疗后比治疗前更频繁地观察到D. magna的异常行为。生态信息学中的计算方法可用于获得大果蝇行为数据中的有用信息,并将其进一步用作水环境中的现场监测工具。

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