摘要
为在缺少林木树高因子的情况下有效推导黄山松的分布规律,采用正态分布、伽玛分布、贝塔分布、威布尔分布、对数正态分布5种分布模型和卡方检测,得出黄山松胸径分布的最佳模型为威布尔分布模型,在此基础上,通过极大似然估计法及建立的树高曲线,构建黄山松树高分布模型.10块样地树高预测值与实际值的对比结果,验证了所构建的树高分布模型的有效性和精确性.
Five distribution models of normal distribution,gamma distribution,beta distribution,Weibull distribution,lognormal distribution and chi-square detection were used to effectively derive the distribution law of Pinus taiwanensis in the absence of high factors of forest trees.The best model for the DBH distribution of Pinus taiwanensis is the Weibull distribution model.On this basis,the high-salt model of Pinus taiwanensis is constructed by the maximum likelihood estimation method and the tree height curve.The comparison between the predicted values of the heights of the 10 plots and the actual values verifies the validity and accuracy of the constructed tree height distribution model.
作者
陈明久
CHEN Ming-jiu(Pingnan Gufeng State-owned Forest Farm,Pingnan,Fujian 352300,China)
出处
《宁德师范学院学报（自然科学版）》
2018年第4期397-401,共5页
Journal of Ningde Normal University(Natural Science)
关键词
黄山松
树高分布模型
胸径分布模型
卡方检验
极大似然估计法
Pinus taiwanensis
tree height distribution model
DBH distribution model
chi-square test
maximum likelihood estimation
