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学科主题: Oceanography
题名: Multivariate statistical analysis of water quality and phytoplankton characteristics in Daya Bay, China, from 1999 to 2002
作者: Wang, YS ; Lou, ZP ; Sun, CC ; Wu, ML ; Han, SH
通讯作者: yswang@scsio.ac.cn
关键词: water quality ; phytoplankton multivariate ; statistical analysis ; Daya Bay (DYB) ; South China Sea
刊名: OCEANOLOGIA
发表日期: 2006
卷: 48, 期:2, 页:193-211
收录类别: sci
部门归属: Chinese Acad Sci, S China Sea Inst Oceanol, Guangzhou 510301, Peoples R China; Natl Field Stn Marine Ecosyst Data Bay, Guangdong 518121, Shenzhen, Peoples R China; Shandong Univ, Sch Chem & Chem Engn, Jinan 250100, Peoples R China
项目归属: LMB
摘要: This study analyzed seasonal physicochemical and phytoplankton data collected at 12 marine monitoring stations in Daya Bay from 1999 to 2002. Cluster analysis based on water quality and phytoplankton parameters measured at the 12 stations could be grouped into three clusters: cluster I- stations SI, S2, S7 and S11 in the southern part and the north-eastern part of Daya Bay; cluster II-stations S5, S6, S9, S10 and S12 in the central and north-eastern parts of Daya Bay; cluster III-stations S3, S4 and S8 in the cage culture areas in the south-western part of Daya Bay and in the north-western part of the Bay near Aotou harbor. Bivariate correlations between phytoplankton density and the major physical and nutrient factors were calculated for all stations. Factor analysis shows that there were high positive loadings of pH, TIN and the ratio of TIN to PO4-P in the three clusters, which indicates that all the stations in the three clusters were primarily grouped according to their respective nutrient conditions.
原文出处: 查看原文
WOS记录号: WOS:000238769900002
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内容类型: 期刊论文
URI标识: http://ir.scsio.ac.cn/handle/344004/4894
Appears in Collections:中科院海洋生物资源可持续利用重点实验室_期刊论文

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Wang, YS; Lou, ZP; Sun, CC; Wu, ML; Han, SH.Multivariate statistical analysis of water quality and phytoplankton characteristics in Daya Bay, China, from 1999 to 2002,OCEANOLOGIA,2006,48(2):193-211
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