摘要
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。
At each of 678 sampling locations in China, 15 ecological factors, including 3 geographical factors( x ) and 12 climatic factors( y ), were selected and subjected to the canonical analysis(CA). The coordinate values of the first canonical variable were chosen and subjected further to principle component analysis(PCA) if the canonical correlation was significant at 0.01 level. The sample locations′ coordinate values of the first principle component were taken as comprehensive ecological gradient axis, namely EGA(CA 1 PC 1), according to the contribution of principle components. The isogram of the ecological gradient axis(EGA) was drawn out. Meanwhile the multinomial regression of the sample locations′ EGA values against their correspondent longitude( x 1) and latitude( x 2) and altitude ( x 3) in built. Then the ecological gradient map of China was plotted by computer according to the isogram and the multinomial regression equation. The forest tree regionalization was quantitatively conducted on the basis of the map and the result of regionalization was further fitted and corrected in accordance with the principles of regionalization. Finally, the whole county was divided into 10 forest tree breeding region groups which were further subdevided into 97 breeding regions, 74 sub regions, and 31 forest tree breeding basic regions for arranging the forest breeding trials.
出处
《生态学报》
CAS
CSCD
北大核心
1997年第2期159-169,共11页
Acta Ecologica Sinica
关键词
林木育种区
生态梯度轴
区划
forest tree breeding region, regionalization, ecological grandient axis, canonical analysis(CA), principle component analysis(PCA).
