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对全国６７８个样点统一选用１５个生态因子，包括地理坐标（Ｘ）３个变量，气象因子（Ｙ）１２个变量。进行因子相关分析（ＣＡ），典型相关检验，选择第１典型变量（ＣＡ１）的坐标２元数据，跟进采用主成分分析（ＰＣＡ）。根据主成分贡献大小，确定第１主成分对应的样点１元坐标为综合生态梯度轴（值），即ＥＧＡ（ＣＡ１→ＰＣ１）。绘制样点生态梯度轴等值线图，同时，将６７８个样点生态梯度值（Ｙ）与对应经度（Ｘ１）、纬度（Ｘ２）和海拔高（Ｘ３）建立多项式回归，利用计算机绘制“中国生态梯度图”，依据ＥＧＡ（ＣＡ１→ＰＣ１）等值线图与生态梯度图定量区划林木育种区，并根据区划原则进行拟合与校正。最终将全国区划为１０个林木育种大区，３１个基本区，９７个育种区和７４个（Ａ级）亚区
A total of 15 ecological factors were selected for 678 sampling sites in China, including 3 variables of geographical coordinates (X) and 12 variables of meteorological factors (Y). Factor correlation analysis (CA), canonical correlation test, coordinate 2-element data of the first typical variable (CA1), followed by principal component analysis (PCA). According to the contribution of the principal components, the coordinates of the first element corresponding to the first principal component are determined as the integrated ecological gradient axis (EGA), that is, EGA (CA1 → PC1). At the same time, the ecological gradients of 678 samples (Y) and the corresponding longitude (X1), latitude (X2) and altitude (X3) were set up by polynomial regression. The “China Ecological gradient map ”, according to EGA (CA1 → PC1) contour map and ecological gradient map quantitative zoning forest breeding area, and according to the zoning principle fitting and correction. In the end, the country will be divided into 10 forest breeding areas, 31 basic areas, 97 breeding areas and 74 (A-level) sub-areas