摘要
基于大量华北落叶松人工林临时样地和解析木数据,选用林木大小和立地条件为自变量,构建起单木树高生长量回归模型,模型相关系数R2为0.516。结果表明,影响华北落叶松单木树高生长量的因素从大到小依次为:林木生长、立地条件。利用检验数据对所建立的树高生长量模型进行检验,预测值2.77m要略高于实测值2.74m,t-检验差异不显著,模型预测效果良好。
Based on lots of data from temporary sampling plots of artifitial stands and the data of analytic woods of Larix principis-rupprechtii,multi-linear regression function was used to simulate individual height growth of L.principis-rupprechtii.Tree size and site conditions were selected as independent variables.The coefficient R2 of the model was 0.516.Through stepwise multiple regression analysis,the impact of the variables on the height growth ranked as tree size,and site conditions.The model of tree growth height were tested by applying the test database,the predicitive value was 2.77 m,slightly higher than the measured value 2.74 m.However,t-test showed that the difference was not significant.
出处
《西北林学院学报》
CSCD
北大核心
2013年第2期187-190,242,共5页
Journal of Northwest Forestry University
基金
国家林业局林业公益性行业科研专项项目(201004021)
教育部科技创新计划项目(BLJD200904)
林业科学技术推广项目([2011]44号)
中央高校基本科研业务费专项(TD2011-08)
国际科技合作项目(2009DFA92900)
关键词
华北落叶松
单木树高生长量模型
多元线性回归
Larix principis-rupprechtii
individual DBH growth model
multi-linear regression
