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Wang Xiangrong. AN APPLICATION OF POLYNOMICAL STEP-REGRESSION OPTIMUM MODEL IN THE STUDY OF PLANT-SOIL CORRELATION IN TIANTONG,ZHEJIANG,CHINA[J]. Plant Science Journal, 1993, 11(2): 174-180.
Citation: Wang Xiangrong. AN APPLICATION OF POLYNOMICAL STEP-REGRESSION OPTIMUM MODEL IN THE STUDY OF PLANT-SOIL CORRELATION IN TIANTONG,ZHEJIANG,CHINA[J]. Plant Science Journal, 1993, 11(2): 174-180.
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AN APPLICATION OF POLYNOMICAL STEP-REGRESSION OPTIMUM MODEL IN THE STUDY OF PLANT-SOIL CORRELATION IN TIANTONG,ZHEJIANG,CHINA

  • Department of Urban Planning, Tongji University, Shanghai 200092

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  • Received Date: April 14, 1991
  • Revised Date: October 05, 1992
  • Published Date: June 25, 1993
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  • In this paper, the polynomical step-regression method was used to study on the relationships between 20 plant species and 5 soil factors: Nitrogen, Phosphorous, Organic matter, Water content and pH value. The limiting soil factors of each species were selected to build the optimum models of plant-soil environmental correlation. The effect of soil factor on the interspecific correlation has been discussed as well. The results show that the polynomical step-regression is excellent to study on the nonliner correlation between plant species and soil variables.
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