多项式逐步回归优化模型在浙江天童植物-土壤相关研究中的应用

AN APPLICATION OF POLYNOMICAL STEP-REGRESSION OPTIMUM MODEL IN THE STUDY OF PLANT-SOIL CORRELATION IN TIANTONG,ZHEJIANG,CHINA

摘要: 本文应用多项式逐步回归分析法研究了浙江天童国家森林公园常绿阔叶林中20种植物与5种土壤因子(全氮、全磷、有机质、含水量、土壤PH值)之间的相关关系,筛选出对植物影响显著的控制因子,建立了植物—土壤环境因子相关的优化模型,并就土壤因子对植物种间关系的影响进行了讨论。作者认为该方法对于处理植物种与土壤因子之间的非线性相关情况是适用的。
- 多项式逐步回归优化模型 /
- 植物—土壤环境相关 /
- 木荷+丝栗栲群落 /
- 浙江天童
Abstract: 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.
- Optimum Model /
- Polynomieal step-regression /
- Plant-Soil environmental correlation /
- Schirna superba+Castanopsis fargesij community