| 我国杉木通用性立木生物量模型研究 |
| |
| 引用本文： | 曾伟生.我国杉木通用性立木生物量模型研究[J].中南林业调查规划,2013(4):4-11,15. |
| |
| 作者姓名： | 曾伟生 |
| |
| 作者单位： | 国家林业局调查规划设计院,北京100714 |
| |
| 摘 要： | 以我国南方地区的最重要针叶树种杉木为研究对象,综合利用非线性混合模型、哑变量模型和误差变量联立方程组方法,建立了适合杉木不同生长区域（总体）应用的一体化一元和二元地上生物量方程及根茎比函数.结果表明：不同总体的地上生物量模型之间存在显著差异,总体（一）的估计值要大于总体（二）,而地下生物量则差异不明显;地上和地下生物量方程的平均预估误差分别在5％和10％以内,可应用于不同区域的杉木林生物量估计.
|
| 关 键 词： | 地上生物量 根茎比 非线性混合模型 哑变量模型 误差变量联立方程组 杉木 |
Generalized Tree Biomass Equations of Chinese Fir in China |
| |
| ZENG Weisheng.Generalized Tree Biomass Equations of Chinese Fir in China[J].Central South Forest Inventory and Planning,2013(4):4-11,15. |
| |
| Authors: | ZENG Weisheng |
| |
| Institution: | ZENG Weisheng ( Academy of Forest Inventory and Planning, State Forestry Administration, Beijing 100714, China) |
| |
| Abstract: | Taking the most important coniferous species of southern China, Chinese fir （ Cunninghamia lanceo- lata）, as the study object, the integrated one-and two-variable aboveground biomass equations and root-to-shoot ratio functions suitable for generalized application in two regions （ population areas） were constructed using nonlinear mixed model, dummy variable model and error-in-variable simultaneous equation approach. The re- sults showed that aboveground biomass models of the two populations are significantly different, the projected estimates for population I being more than those for population II, while belowground biomass models are not; the mean prediction errors （MPE＇ s） of above-and below-ground biomass equations are less than 5% and 10% respectively, which means the biomass equations could be applied for estimation of Chinese fir forest biomass in the regions. |
| |
| Keywords: | aboveground biomass root-to-shoot ratio nonlinear mixed model dummy variable model error-in-variable simultaneous equation Cunninghamia lanceolata |
| 本文献已被 维普 等数据库收录！ |
|
