含间伐强度哑变量的关帝山油松天然林单木断面积生长模型构建  

Construction of Individual Tree Section Area Growth Model of Pinus tabulaeformis Natural Forest with Dummy Variable of Thinning Intensity in Guandi Mountain

作　　者：李学辉 白宁 郭晋平[1] 马建峰 张芸香[1] LI Xuehui;BAI Ning;GUO Jinping;MA Jianfeng;ZHANG Yunxiang(Forestry College,Shanxi Agricultural University,Taigu,Shanxi 030801,China;Guandishan State - owned Forest Administration,Wenshui,Shanxi 032100,China)

机构地区：[1]山西农业大学林学院,山西太谷030801 [2]关帝山国有林管理局,山西文水032100

出　　处：《林业调查规划》2021年第3期1-7,共7页Forest Inventory and Planning

基　　金：山西农业大学学术恢复科研专项(2020XSHF34).

摘　　要：以关帝山林区9块油松天然林固定样地为研究对象,选择4种具有生物学意义理论生长方程,构建包含立地条件、年龄及竞争指标的油松单木断面积基础模型,将间伐强度作为哑变量引入模型,比较模型拟合效果的差异。结果显示:单木断面积基础模型决定系数R^(2)为0.46~0.52,P值为0.89~0.92,含间伐强度哑变量的单木断面积生长模型R^(2)和P值均有显著提高,分别为0.51~0.61和0.95~0.99;含间伐强度哑变量的Weibull方程拟合效果最优,其模型R^(2)为0.6061,P值为0.9912。含哑变量的油松单木断面积生长模型可以有效解决间伐类型差异对断面积预估的影响,提高建模精度与模型适用性。Taking nine fixed sample plots of Pinus tabulaeformis natural forest in Guandishan forest area as the research object,four theoretical growth equations with biological significance were selected to construct a basic model of individual Pinus tabulaeformis section area including site conditions,age and competition indicators.The thinning intensity was added as dummy variable to the basic model to compare the differences in the model fitting effects.The coefficient of determination(R^(2))of the basic model of individual tree section area was 0.46~0.52,and the P value was 0.89~0.92.The R^(2) and the P value of the individual tree cross-sectional area growth model with dummy variable of thinning intensity increased significantly,were 0.51~0.61 and 0.95~0.99,respectively.The Weibull equation with the dummy variable of thinning intensity had the best fitting effect,and the model R^(2) was 0.6061 and P value was 0.9912.The model with dummy variable could effectively solve the influence of different thinning types on the section area estimation,and improve the accuracy of modeling and the applicability of the model.

关 键 词：油松天然林 单木断面积 生长模型 间伐强度哑变量 关帝山林区 

分 类 号：S711[农业科学—林学] S753.71