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Patterning of Community Changes in Benthic Macroinvertebrates Collected from Urbanized Streams for the Short Time Prediction by Temporal Artificial Neuronal Networks

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Artificial Neuronal Networks

Part of the book series: Environmental Science ((ENVSCIENCE))

Abstract

Patterning temporal development of community is an important topic in ecosystem management as of late. Especially in aquatic ecosystems, where communities are easily affected by disturbances caused by various natural and anthropogenic agents, it is important to know how communities would develop in response to changes in water quality. They would develop either progressively with further disturbances, or regressively in recovery from pollution (Sladecek 1979; Hellawell 1986). Methods for characterizing ’changes’ in communities are needed in terms of predicting the future development of the community, detecting mechanism of community differentiation, and assessing ecological status of the target ecosystem.

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Chon, TS., Park, YS., Cha, E.Y. (2000). Patterning of Community Changes in Benthic Macroinvertebrates Collected from Urbanized Streams for the Short Time Prediction by Temporal Artificial Neuronal Networks. In: Lek, S., Guégan, JF. (eds) Artificial Neuronal Networks. Environmental Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-57030-8_7

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  • DOI: https://doi.org/10.1007/978-3-642-57030-8_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-63116-0

  • Online ISBN: 978-3-642-57030-8

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