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cje ›› 2012, Vol. 31 ›› Issue (01): 8-15.

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Biomass distribution of phytoplankton and bacterioplankton in coastal areas of Leizhou Peninsula in summer and related affecting factors.

GUO Kai-xuan, ZHANG Yu-bin**, ZHANG Jie-xiang, SUN Xing-li   

  1. Monitoring Center for Marine Resources and Environments, Guangdong Ocean University, Zhanjiang 524088, Guangdong, China
  • Online:2012-01-08 Published:2012-01-08

Abstract: In July 2010, a survey was conducted on the biomass spatial distribution of phytoplankton and bacterioplankton in the coastal waters of Leizhou Peninsula, with the related affecting factors analyzed. The phytoplankton biomass in the coastal waters in summer was 15.66-1114.92 mg·m-3, with an average of 192.49 mg·m-3, and the bacterioplankton biomass was 3.36-50.12 mg C·m-3, with an average of 18.43 mg C·m-3. No significant difference was observed in the horizontal distribution of phytoplankton biomass among different regions, but the horizontal distribution of bacterioplankton biomass had significant difference,being the greatest in western region,followed by in eastern, and in southern region.The biomass distribution of phytoplankton and bacterioplankton in surface water and in the bottom had no definite pattern and no significant difference. The biomass of phytoplankton and bacterioplankton was the greatest in near-shore stations, followed by in intermediate stations, and the least in far-shore stations, namely, decreasing from landward to seaward. The bacterioplankton biomass was significantly positively correlated with water temperature, pH, and silicate, and significantly negatively correlated with water salinity, TOC, and phosphate, whereas the phytoplankton biomass was significantly positively correlated with water pH and DO, and significantly negatively correlated with water salinity and TOC. There was a significant positive correlation between phytoplankton biomass and bacterioplankton biomass, implying the interactive regulation between them.

Key words: forest soil, soil nutrient characteristics, regression kriging, spatial heterogeneity.