泡桐生长与土壤因子偏最小二乘回归分析

The Analysis of Partial Least Squares Regression Model on Paulownia Growth and Soil Factors

[目的]为造林地选择和科学管理土壤提供参考。[方法]利用小波去噪,建立偏最小二乘回归模型,对影响泡桐人工林生长的土壤主导性因子进行探讨。[结果]泡桐与土壤中大部分因子存在显著或极显著的相关关系,影响泡桐生长的土壤主导因子是有效磷、有机质。[结论]偏最小二乘回归对泡桐生长与土壤因子分析的模型合理可信,精确度高,可靠性较强,有一定使用价值。

[Objective]The research aimed to provide reference for the selection of afforestation land and the scientific management of soil.[Method] Established partial least squares regression model with wavelet denoising to study the main factors of soil on the growth of paulownia plantation.[Results] Paulownia had the significant or very relationship with about all factors of soil.The main facors influenced the growth of paulownia was available phosphorus and organic matters.[Conclusion] The partial least squares regression model is reasonable and accurate,with determinate value in use.