title: Application and validation of a new biotic index using data from several water systems.
abstract: Protozoans of Lake Donghu were collected from five stations using the PFU method. The sampling was conducted for one year and two times a month. The aim of this research was to test the applicability of a new protozoa biotic index, species pollution value (SPV) and community pollution value (CPV), established by the authors using data from the River Hanjiang. Each station's CPV was calculated from the SPV and the correlation analysis between the CPV and the comprehensive chemical index of stations I, II, III showed a significant correlation between them. The pollution status of the five stations was correctly evaluated by the CPV. These results suggested that the biotic index could be applied in water systems other than the River Hanjiang. The SPV of some protozoa species in Lake Donghu, not observed in the River Hanjiang were established. In order to further test the applicability of the biotic index, protozoan and chemistry data from the Rivers Torrente Stirone and Parma of Italy were used. The results showed that the CPV for the two rivers had a close relationship with the chemical water quality, which indicated that the biotic index could be applied in other parts of the world for the monitoring and estimating of water quality. Since the results of testing and verifying the biotic index in some other water systems in China were also satisfactory, this indicated that the biotic index has an extensive suitability for freshwater ecosystems. As long as more than 50% of the species in a sample have a SPV, the CPV calculated from the SPV is reliable for monitoring and evaluating water quality.
authors.affiliation: College of Food and Bioengineering, South China University of Technology, Guangzhou 510640, China. johnjg@scut.edu.cn
authors.forename: Jian-Guo
authors.initials: JG
authors.lastname: Jiang
authors.forename: Yun-Fen
authors.initials: YF
authors.lastname: Shen
mesh_terms: D000818:Animals; D015415:Biomarkers / Q000032:analysis; D002681:China; D004784:Environmental Monitoring / Q000379:methods*; D056890:Eukaryota; D011157:Population Dynamics; D011786:Quality Control; D045483:Rivers; D014874:Water Pollutants, Chemical / Q000506:poisoning*
chemical_list: D015415:Biomarkers; D014874:Water Pollutants, Chemical