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...
Saved in:
Published in | Ecological indicators Vol. 72; pp. 47 - 52 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.01.2017
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
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. |
---|---|
Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1470-160X 1872-7034 |
DOI: | 10.1016/j.ecolind.2016.08.001 |