FORECAST EQUATIONS FOR CELL DENSITY OF THE DOMINANT RED-TIDE ALGAE AT THE QUANZHOU BAY
泉州湾赤潮藻类优势种细胞密度回归方程研究

Red-tide routine monitoring at the Quanzhou Bay, East Sea, was implemented at four sampling stations from May to November, 2006. There were six types of dominant red-tide algae: Skeletonema costatum, Thalassiosira pacifica, Prorocentrum minimum, Pseudo-nitzschia pungens, Leptocylindrus danicus and Chaetoceros curvisetus. Based on the red-tide routine monitoring results, multi-parameter regression equations were established by stepwise regression analysis, with totally 23 kinds of environmental, physical, chemical and biological factors as the independent variables, and cell densities of individual dominant red-tide algae as the dependant variables. All multiple correlation coefficients of these multi-parameter regression equations were close to 1.0000, and the results of variance analysis for each of regression equations showed that the correlation was significant. Therefore, these multi-parameter regression equations will be useful forecast equations for forecasting cell densities of the dominant red-tide algae at the Quanzhou Bay in the future.