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利用线性混合模型和哑变量模型方法建立贵州省通用性生物量方程

Using Linear Mixed Model and Dummy Variable Model Approaches to Construct Generalized Single-Tree Biomass Equations in Guizhou

  • 摘要: 以贵州省人工杉木和马尾松地上生物量数据为例,通过利用线性混合模型和哑变量模型方法,建立了适合不同树种和区域(中心区和一般区)的通用性立木生物量方程,为简化生物量建模工作提供了有效途径。结果表明,相同直径林木的地上生物量估计值随树种、区域的不同存在一定程度的差异,带随机参数的线性混合模型和带特定参数的哑变量模型比总体平均模型的精度高;线性混合模型和哑变量模型方法均同等有效,可推广应用于其它通用性模型(如材积方程)的建立。

     

    Abstract: Based on the above-ground biomass data of Chinese fir (Cunninghamia lanceolata) and Masson Pine (Pinus massoniana) plantations in Guizhou Province, the generalized single-tree biomass equations suitable for different species and regions (central region and other region) were established using linear mixed model and dummy variable model methods, which provided effective approaches to simplify the biomass modeling. The results show that the above-ground biomass estimates of individual trees with the same diameter are different in some extent among different tree species and geographic regions, and linear mixed model with random parameters and dummy model with specific (local) parameters are better than population average model; and linear mixed model and dummy variable model approaches are almost same effective and may be applied to develop other generalized models such as tree volume equations.

     

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