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ZOU RENLIN,YE JIASONG,WANG WBNZHI,YUAN WBNBIN.A NUMERICAL MODEL OF PHYTOPLANKTON BIOMASS IN THE CENTRAL WATERS OF SOUTH CHINA SEA[J].Acta Oceanologica Sinica,1984,(3):417-423
A NUMERICAL MODEL OF PHYTOPLANKTON BIOMASS IN THE CENTRAL WATERS OF SOUTH CHINA SEA
A NUMERICAL MODEL OF PHYTOPLANKTON BIOMASS IN THE CENTRAL WATERS OF SOUTH CHINA SEA
投稿时间:1981-09-11  修订日期:1983-05-25
DOI:
中文关键词:  
英文关键词:
基金项目:
作者单位
邹仁林 South China Sea Institute of Oceanology, Academia Sinica, Guangzhou 
叶加松 South China Sea Institute of Oceanology, Academia Sinica, Guangzhou 
王文质 South China Sea Institute of Oceanology, Academia Sinica, Guangzhou 
袁文彬 South China Sea Institute of Oceanology, Academia Sinica, Guangzhou 
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中文摘要:
      The present study is based on the materials collected from the middle waters of the South China Sea between 12°-15°N and 111°-118°E during May to July in 1978.
The biomass of the phytoplankton (Y, dependent variable) is established to give the biomass of each Species and the environmental factors (i.e.water temperature, salinity, oxygen, silicate and phosphate contents), X1, X2…, X189 are independent variables that are used to stepwisc regression analysis.Accordicg to the mathematical tests and the practical experience by which a lot of species are deleted and added to the equation, the authors consider that the 4th equation as shown below is optimal one for the model of the biomass on the phytoplankton from this waters.
The optimal equation refers to text.
英文摘要:
      The present study is based on the materials collected from the middle waters of the South China Sea between 12°-15°N and 111°-118°E during May to July in 1978.
The biomass of the phytoplankton (Y, dependent variable) is established to give the biomass of each Species and the environmental factors (i.e.water temperature, salinity, oxygen, silicate and phosphate contents), X1, X2…, X189 are independent variables that are used to stepwisc regression analysis.Accordicg to the mathematical tests and the practical experience by which a lot of species are deleted and added to the equation, the authors consider that the 4th equation as shown below is optimal one for the model of the biomass on the phytoplankton from this waters.
The optimal equation refers to text.
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