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ZOU RENLIN,YE JIASONG,WANG WBNZHI,YUAN WBNBIN. 1984. A NUMERICAL MODEL OF PHYTOPLANKTON BIOMASS IN THE CENTRAL WATERS OF SOUTH CHINA SEA. Acta Oceanologica Sinica, (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
Received:September 11, 1981  Revised:May 25, 1983
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Author NameAffiliation
ZOU RENLIN South China Sea Institute of Oceanology, Academia Sinica, Guangzhou 
YE JIASONG South China Sea Institute of Oceanology, Academia Sinica, Guangzhou 
WANG WBNZHI South China Sea Institute of Oceanology, Academia Sinica, Guangzhou 
YUAN WBNBIN South China Sea Institute of Oceanology, Academia Sinica, Guangzhou 
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Abstract:
      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.
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.
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