Principal component analysis of related factors with stand volume of Cunninghamia lanceolata artificial forests in Guizhou Province
Based on the 8th forest resources continuous investigation data of Guizhou Province in 2010,this study took Cunninghamia lanceolata artificial forest as the research object and extracted 321 pieces of sample plots, and the factors related to stand volume were analyzed by the method of principal component analysis and multiple liner regression.There had some results in this study:In central region, three common factors with the eigenvalue more than 1 were selected, and the cumulative variance contribution was 68.012％.The first common factor was composed of age, height, DBH, canopy density and stand density ,which was defined as the basic stand factor with variance contribution of 37.353％.The second common factor was composed of thickness of soil, humus soil and litter, which was defined as the soil factor with variance contribution of 17.606％.The third common factor was altitude,which was defined as the environment factor with variance contribution of 13.052％.In ordinary region,two common factors with the eigenvalue more than 1 were selected,and the cumulative variance contribution was 66.151％.The first common factor were defined as same as them in central region, and the variance contribution were 47.772％.The second common factor was soil thickness and altitude, which was defined as environment factor with variance contribution of 18.378％.The multiple linear regression analysis of the modeling samples were conducted, and the analysis results were verified and different with the results of factor analysis in central region or ordinary region.The findings showed that the related factors of stand volume were age, height, DBH, canopy density and stand density in central region or ordinary region, and the altitude was an important related factor on central region ,while the other factors exerted less influence on stand volume growth.The conclusion provides a foundation for conservation and management about C.lanceolata artificial forest in Guizhou Province.
国家科技期刊平台
NSTL
万方数据
维普
