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Similarity measure bias in river benthic Aufwuchs community analysis

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An extensive assessment was made of nine common similarity measures on the basis of their discriminative ability and bias in weighting of different types of variation in species abundance between samples, by using sets of river macroinvertebrate samples. Seven agglomerative hierarchical clustering methods were applied to these measures. Successful site discrimination is defined as grouping of all replicate samples from a particular site. Major differences existed in the discriminative ability between the similarity measures. The measures overweight some types of variation and underweight the others to varying extents, which is closely related to their discriminative ability. A new dissimilarity-similarity measure was devised to respond to all types of variation with minimum bias. This measure yielded a higher percentage of correct site discrimination than the others tested. Use of an extra data set confirmed the superior performance of the new measure and also indicated that it could discriminate between sites of different water quality.
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Document Type: Research Article

Publication date: 1997-01-01

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    Water Environment Research (WER) publishes peer-reviewed research papers, research notes, state-of-the-art and critical reviews on original, fundamental and applied research in all scientific and technical areas related to water quality, pollution control, and management. An annual Literature Review provides a review of published books and articles on water quality topics from the previous year.

    Published as: Sewage Works Journal, 1928 - 1949; Sewage and Industrial Wastes, 1950 - 1959; Journal Water Pollution Control Federation, 1959 - Oct 1989; Research Journal Water Pollution Control Federation, Nov 1989 - 1991; Water Environment Research, 1992 - present.
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