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采用多元回归分析和灰色关联分析方法 ,探讨下蜀次生栎林蒸腾强度与生态因子的相关关系。研究认为用二次或三次多项式回归方程比用一元线性回归方程和指数回归方程拟合更能反映各生态因子在整个生长季中与蒸腾强度关系的性质。影响蒸腾强度的主要生态因子是温度和净辐射 ;其次是空气相对湿度和土壤热流通量 ;风速和土壤含水率的影响很小。灰色关联分析与多元回归分析的结论一致。研究结果为进一步阐明次生栎林的结构和功能提供了理论基础。
Using multiple regression analysis and gray correlation analysis, the correlation between transpiration intensity and ecological factors of secondary forest of Quercus variabilis was studied. The study suggests that using quadratic or cubic polynomial regression equation better reflect the relationship between transpiration intensity and ecological factors during the whole growing season than fitting with linear regression equation and exponential regression equation. The main ecological factors affecting transpiration intensity are temperature and net radiation, followed by air relative humidity and soil heat flux, and the effect of wind speed and soil moisture content is small. Gray correlation analysis and multiple regression analysis of the conclusions. The results provide a theoretical basis for further clarifying the structure and function of secondary oak forest.