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Elucidation of Hypothetical Relationships between Habitat Conditions and Macroinvertebrate Assemblages in Freshwater Streams by Artificial Neural Networks

  • H. Hoang
  • F. Recknagel
  • J. Marshall
  • S. Choy

Abstract

It has been widely demonstrated that interactions among chemical and physical processes create environmental conditions at a range of scales that strongly influence the distribution and abundance of lotic biota, and thus the composition of macroinvertebrate assemblages (e.g. Hynes 1970). Many studies have identified substrate composition, complexity and heterogeneity as major determinants of in-stream biota (e.g. Downes et al. 1998). Other abiotic factors such as flow velocity (e.g. Barmuta 1990) and water chemistry (e.g. Bunn et al. 1986) have also been found to influence biotic composition.

Keywords

Artificial Neural Network Stream Order Macroinvertebrate Assemblage Freshwater Biology Sensitivity Curve 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • H. Hoang
  • F. Recknagel
  • J. Marshall
  • S. Choy

There are no affiliations available

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