4.7 Article

An approach to analyzing spatial patterns of protozoan communities for assessing water quality in the Hangzhou section of Jing-Hang Grand Canal in China

Journal

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
Volume 19, Issue 3, Pages 739-747

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s11356-011-0615-0

Keywords

Bioassessment; Protozoa; Environmental stress; River ecosystem; Grand Canal

Funding

  1. Natural Science Foundation of China [31071880, 41076089]
  2. Zhejiang Provincial Natural Science Foundation of China [Y3100128]
  3. National Key Laboratory of Freshwater Ecology and Biotechnology of China [2009FB11]
  4. Hangzhou Key Laboratory for Animal Adaptation and Evolution, Hangzhou Normal University [20100333T05]

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Introduction In order to evaluate water quality of a canal system, the spatial pattern of protozoan communities in response to physicochemical variables was studied in the Hangzhou section of the Grand Canal, northern China during a 1-year cycle (February 2008-January 2009). Materials and methods Protozoan samples were monthly collected at six sampling stations with a spatial gradient of environmental status. Physicochemical parameters, e.g., water temperature, dissolved oxygen, chemical oxygen demand (COD), biological oxygen demand, total nitrogen (TN), and total phosphorus (TP), were measured synchronously for comparison with biotic parameters. Results The protozoan community structures represented significant differences among the six sampling stations. The spatial patterns of protozoan communities were significantly correlated with the changes of chemical variables, especially COD, either alone or in combination with TP and/or TN. Of 88 protozoan taxa recorded over the study period, ten species (e.g., Carchesium polypinum, Colpidium campylum, Prorodon teres, Vorticella putrina, Zoothamnium arbuscula, Euglena spp., and Phacus spp.) were significantly related to COD, either alone or in combination with TP and/or TN. Conclusion These findings suggest that protozoa can be used as a robust bioindicator of water quality in freshwater river systems.

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