| Autor: |
Jin Chi, Wang, Hua Feng, Deng, Guo Sheng, Huang, Xue Jun, Wang, Lu, Zhang |
| Rok vydání: |
2018 |
| Předmět: |
|
| Zdroj: |
Ying yong sheng tai xue bao = The journal of applied ecology. 28(10) |
| ISSN: |
1001-9332 |
| Popis: |
By using nonlinear measurement error method, the compatible tree volume and above ground biomass equations were established based on the volume and biomass data of 150 sampling trees of natural spruce (Picea asperata). Two approaches, controlling directly under total aboveground biomass and controlling jointly from level to level, were used to design the compatible system for the total aboveground biomass and the biomass of four components (stem, bark, branch and foliage), and the total ground biomass could be estimated independently or estimated simultaneously in the system. The results showed that the R基于150株天然云杉实测材积和生物量数据，利用非线性度量误差方法，建立相容性立木材积与生物量方程，并采用总量直接控制方案和分级联合控制方案研建了地上总生物量与4个分项(干材、干皮、树枝、树叶)的相容性方程系统，其中又采取了独立估计和联合估计两种处理方法进行地上生物量的估计.结果表明：所建一元、二元相容性立木材积和地上生物量模型的材积和生物量决定系数均在0.85以上，最高达0.99，在胸径基础上增加树高变量能显著提高材积的预估效果，但对生物量的预估效果改进不大.就总量与分量相容性模型而言，分级联合控制方案所建的一元模型好于总量直接控制所建的一元模型，两种方案所建的二元模型效果相当.对一元、二元相容性生物量模型的拟合效果进行对比，结果显示，解释变量的增加明显提高了树枝和树叶生物量的拟合效果，对其他几个分量的拟合效果改善不大.对独立估计和联合估计的对比分析显示,两种估计方法几乎没有差异. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
