Determining β-diversity of protozoa for bioassessment in coastal ecosystems using community-based dispersions

•Species composition was the primary contributor to community structure of protozoa;.•Community-based dispersions were significantly related to Whittaker’s β-diversity;.•Heavy data transformations were a feasible choice to detect β-diversity of protozoa. The β-diversity of protozoan communities is a...

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Bibliographic Details
Published inEcological indicators Vol. 72; pp. 47 - 52
Main Authors Wang, Zheng, Xu, Guangjian, Xu, Henglong
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.01.2017
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Summary:•Species composition was the primary contributor to community structure of protozoa;.•Community-based dispersions were significantly related to Whittaker’s β-diversity;.•Heavy data transformations were a feasible choice to detect β-diversity of protozoa. The β-diversity of protozoan communities is a useful bioindicator of environmental heterogeneity and water quality status in global change research. As a broad β-diversity measure, multivariate dispersions are subject to influence from the relative weight placed on changes in composition versus abundance. To identify a feasible numeral resolution for determining β-diversity of protozoa using community-based dispersions, a dataset of the protozoan communities was studied. Results showed that although species composition was the primary contributor to the multivariate dispersions, the community-based dispersions showed a significant linear relationship to the Whittaker’s β-diversity index. However, the data transformations on species-abundance data represented clear influences on outputs of community-based dispersion measures: heavy (e.g., fourth root or log) transforms were more feasible than slight ones. Based on the results, we suggest that the community-based multivariate dispersions with heavy data transforms may be used to summarize the β-diversity of protozoan communities for bioassessment in coastal ecosystems.
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ISSN:1470-160X
1872-7034
DOI:10.1016/j.ecolind.2016.08.001