期刊论文

Growth and yield model of oak forest based on mixed effect

中文

森林与环境学报

2096-0018

2019

39

5

475-482

10.13324/j.cnki.jfcf.2019.05.005

国家林业公益性行业科研专项“闽楠、青冈栎次生林提质增量关键技术研究与示范”（201504301）； 中南林业科技大学研究生创新基金项目（20181001）；

本校为第一机构

为准确预测栎类林分的生长动态,建立预估精度较高的林分生长收获混合效应模型,以湖南省国家森林资源连续清查固定样地中的96块栎类次生林为研究对象,选用相容性林分生长收获模型作为基础模型,加入样地层次的混合效应,构建基于混合效应的相容性林分生长收获模型,并将其与加权二步最小二乘法进行比较.结果表明: (1)选择b3作为期初林分蓄积量模型的混合效应参数,a2作为期末林分断面积模型的混合效应参数,幂函数作为异方差结构和AR(1)结构矩阵作为自相关结构时的模拟效果最好; (2)利用平均误差、 平均绝对相对误差、 均方根误差(RMSE)以及预测精度4个指标评价模型的拟合效果,结果均显示混合效应模型...

In order to accurately predict the growth dynamics of oak stand, a mixed effect model of stand growth and yield with high prediction accuracy was established. Ninety six secondary oak forests in the fixed sample plots of Human National Forest Resources Continuous Inventory were taken into account as research objects. The compatibility stand growth and yield model was selected as the basic model and combined with the mixed effect of sample plot level. The model growth and yield model based on the mixed effect was, afterwards, compared with the weighted two-step least squares method. The results...