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Xue Bing, Sun Jun, Li Tingting. Phytoplankton community structure of northern South China Sea in summer of 2014[J]. Haiyang Xuebao, 2016, 38(4): 54-65. doi: 10.3969/j.issn.0253-4193.2016.04.005
Citation: Xue Bing, Sun Jun, Li Tingting. Phytoplankton community structure of northern South China Sea in summer of 2014[J]. Haiyang Xuebao, 2016, 38(4): 54-65. doi: 10.3969/j.issn.0253-4193.2016.04.005

Phytoplankton community structure of northern South China Sea in summer of 2014

doi: 10.3969/j.issn.0253-4193.2016.04.005
  • Received Date: 2015-08-10
  • Rev Recd Date: 2015-12-20
  • Phytoplankton community structure was investigated in 11 stations in the northern South China Sea (18°-22°N,114°-116°E) during August 20 to September 6 in 2014,in which 2 stations were time series stations. 68 genera and 229 species (including variety,form and unidentified taxa) belonging to 4 phyla were identified,in which 43 genera and 147 species belonged to Bacillariophyta,and 20 genera and 75 species were Pyrrophyta. The average cells abundance was 16.318×103 cells/L,and diatoms accounted for 89.80% with 14.653×103 cells/L. The distribution of diatoms governed the distribution of phytoplankton. The abundance in neritic area was higher than that in open ocean due to the high nutrition concentration of fresh water in neritic area. The cells abundance increased firstly and later decreased vertically. The dominant species were Trichodesmium thiebautii,Skeletonema costatum,Fragilariopsis sp.,Chaetoceros brevis,Thalassionema nitzschioides,Pseudo-nitzschia delicatissima,Pseudo-nitzschia pungens,Chaetoceros compressus,Chaetoceros lorenzianus and Chaetoceros pelagicus. The distribution patterns of dominant species were similar,the coastal abundance was high in contrast with that in other area. The average Shannon-Weiner diversity index and Pielou evenness values were 2.37 and 0.56 respectively. Phytoplankton diurnal fluctuation was obvious. The result of CCA analysis showed that total nitrogen,silicate,micro-zooplankton and salinity were the main controlling factors in the survey area. Cluster analysis that based on surface cells abundance aggregated stations into coastal group and pelagic group obviously.
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