Korean Journal of Ecology and Environment (생태와환경)

The Korean Society of Limnology (한국수생태학회)
권호 표지

Comparative Analyses of Community and Biological Indices based on Benthic Macroinvertebrates in Streams using a Self-Organizing Map

  • Tang, Hong Qu (Department of Biology and The Korea Institute of Ornithology, Kyung Hee University) ;
  • Bae, Mi-Jung (Department of Biology and The Korea Institute of Ornithology, Kyung Hee University) ;
  • Chon, Tae-Soo (Department of Biological Sciences, Pusan National University) ;
  • Song, Mi-Young (West Sea Fisheries Research Institute) ;
  • Park, Young-Seuk (Department of Biology and The Korea Institute of Ornithology, Kyung Hee University)
  • Published : 2009.09.30
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Abstract

Benthic macroinvertebrate communities collected from eight different streams in South Korea were analyzed to compare community and biological indices across different levels of water pollution. The Self-Organizing Map (SOM) was utilized to provide overview on association of the proposed indices. The sample sites were accordingly clustered according to the gradient of pollution on the SOM. While the general trends of the indices were commonly observable according to different levels of pollution, the detailed differences among the indices were also illustrated on the SOM. The conventional diversity and evenness indices tended to be high even though the water quality state was poor representing relatively weak gradient at polluted sites, while the index presenting the saprobic degree such as family biotic index showed the stronger gradient at the polluted area and was robust to present the gradient. Our results also confirmed the general characterization of two indices: The Shannon index is more strengthened by the number of species occurring at the sample sites, while the Simpson index is more influenced by the degree of evenness among the species. The patterning based on the SOM was efficient in comparatively characterizing the proposed indices to present ecological states and water quality.

Keywords

References

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