摘要
在洋口国有林场收集调查杉木人工林标准地304块,以优势高为预估变量,林分年龄、土层厚度、腐殖质层厚度、土壤质地、海拔高度、坡位、坡向、坡形、坡度、紧密度、湿度为备选变量,对定性变量量化处理后,应用逐步回归技术建立优势高预估模型。该模型只包括年龄及少数几个起显著作用的环境因子,方程形式简单、便于实际应用,既可评定有林地的立地质量,也适用于无林地。
304 plots of Cunninghamia lanceolata plantation sample were collected in Yangkou National Forest Farm, taking the dominant height as pre - estimation variable, and taking stand age, soil layer thickness, humus layer thickness, soil texture, height above sea level, slope position, slope aspect, slope, slope gradient, slope shape, gradient, compactness degree, and humid ity as candidate variables, after qualitative variable quantification treatment, dominant height pre-estimation model was built by stepwise regression technology. The model included age and some environment factors played an evident role, the equation form was simple, was convenient for practice application, which not only might determine forestland site quality, but also might determine non- forested land site quality.
出处
《福建林业科技》
2009年第3期20-23,共4页
Journal of Fujian Forestry Science and Technology
关键词
杉木人工林
逐步回归
优势高模型
立地质量评定
Cunninghamia lanceolata plantation
stepwise regression
dominant height model
site quality determination
