Position: Home > Articles > Dominant Height-Diameter Models for Mixed Quercus Forest Based on Dummy Variable
Forest Resources Management
2017
(4)
22-29
湖南栎类天然混交林优势木树高曲线哑变量模型研究
作 者：
朱光玉;罗小浪
单 位：
中南林业科技大学
关键词：
栎类混交林;优势木;树高曲线模型;哑变量
摘 要：
使用13种具有代表性的树高-胸径模型对湖南栎类天然混交林优势木树高-胸径关系进行了拟合,从中筛选出拟合度较高的模型作为基础模型,以进一步构建含林分类型、立地类型哑变量的天然混交林优势木树高曲线模型。研究结果表明:平均优势木模型要优于最高优势木模型,利用哑变量模型拟合的效果要明显优于基础模型;n林分类型哑变量和立地类型哑变量平均优势木模型结构相同,都是H=1.3+(sun from n to i=1)a_i×Z_i×D_g/(D_g+1)+b×D_g,其确定系数分别为0.711 9和0.977 5,立地类型哑变量模型要优于林分类型哑变量模型。利用哑变量模型可提高模型精度及适用性,有助于建立区域性通用生物数学模型,并为全国栎类天然混交林立地质量评价的研究提供科学支撑和参考依据。
译 名：
Dominant Height-Diameter Models for Mixed Quercus Forest Based on Dummy Variable
作 者：
ZHU Guangyu;LUO Xiaolang;Central South University of Forestry and Technology;
关键词：
mixed Quercus forest;;dominant tree;;height-diameter models;;dummy variable
摘 要：
13 representative height-diameter models were used to simulate correlation of dominant height-diameter in natural Quercus mixed forests. Models with high goodness-of-fit were selected as the foundational model for building dominant height-diameter model with stand types and site types dummy variable. Results showed that mean dominant height models fitted better than maximum dominant height model,the dummy-variable-included models had higher goodness of fit than the foundational models.Stand type and site type dummy variable with mean dominant height had the same formula: H=1.3+(sun from n to i=1)a_i×Z_i×D_g/(D_g+1)+b×D_g and the site type dummy variable model( R~2= 0. 9775) fitted better than forest type dummy variable model( R~2= 0. 711 9). It was able to improve the applicability and accuracy of dominant height-diameter models for mixed Quercus forest based on dummy variable,which provided support and reference for establishing regional generalized bio-math models and amending site quality assessment of mixed Quercus forests in area coverage.
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