东北林区天然白桦相容性生物量模型

doi:10.11707/j.1001-7488.20130711

林业科学 ›› 2013, Vol. 49 ›› Issue (7): 75-85.doi: 10.11707/j.1001-7488.20130711

东北林区天然白桦相容性生物量模型

董利虎, 李凤日, 贾炜玮

东北林业大学林学院哈尔滨 150040

收稿日期:2012-10-09 修回日期:2013-04-26 出版日期:2013-07-25 发布日期:2013-07-23
通讯作者: 李凤日
基金资助:
国家科技支撑计划课题(2012BAD22B02);长江学者和创新团队发展计划资助(IRT1054)。

Compatible Tree Biomass Models for Natural White Birch (Betula platyphylla) in Northeast China Forest Area

Dong Lihu, Li Fengri, Jia Weiwei

College of Forestry, Northeast Forestry University Harbin 150040

Received:2012-10-09 Revised:2013-04-26 Online:2013-07-25 Published:2013-07-23

摘要/Abstract

摘要：

基于东北林区天然白桦实测生物量数据,通过2种方案(以总生物量为基础分级控制和以总生物量为基础直接控制)建立天然白桦一元和二元相容性生物量模型,模型参数估计采用非线性度量误差联立方程组估计方法,并采用加权回归的方法进行异方差的消除。结果表明: 2种方案所建立的天然白桦一元、二元相容性生物量模型的确定系数R²=0.800~0.988,模拟效率(EF)=0.80~0.97; 2种方案所建立的相容性生物量模型的预测精度大多数在80%以上,树枝和树叶生物量模型的预测精度较差,但也在69%以上;所建立的相容性生物量模型中,总生物量和树干生物量模型效果较好,树根、树叶和树枝生物量模型效果较差。总的来说, 2种方案所建立的相容性生物量模型都具有一定的精度,都能对天然白桦生物量进行很好的预估,以总生物量为基础直接控制方案所建立的一元和二元相容性生物量模型好于以总生物量为基础分级控制方案所建立的一元和二元相容性生物量模型,所以在进行天然白桦生物量预估时,建议采用以总生物量为基础直接控制所建立的相容性生物量模型。

关键词: 天然白桦, 立木生物量, 相容性模型, 度量误差模型

Abstract:

Based on data of tree biomass for natural white birch (Betula platyphylla) in northeast China forest area, two methods (controlling jointly from level to level and controlling directly under total biomass) were used to establish the mono-element and dual-element compatible tree biomass model of natural white birch. And using nonlinear measurement error simultaneous equation estimated the parameters in the model, at the same time, the weighted regression was used to eliminate the heteroscedasticity. The results showed that R² of mono-element and dual-element compatible model in this paper was 0.800-0.988, and the fit efficiency(EF)was 0.80-0.97. Besides, the precision of these models reached beyond 80%. On the other hand, the precision of foliage and branch model was relatively lower, and it was more than 69%. Among the compatible models established, the effect of total tree and stem was better than root, foliage and branch. On the whole, the compatible models established by two methods had the precision that we could receive and they could be used to predict the biomass of natural white birch with good precision. But the mono-element and dual-element compatible tree biomass model based on controlling directly under total biomass was better than the way that using controlling jointly from level to level under total biomass. To be concluded, it was advised to use the compatible model that based on controlling directly under total biomass.

Key words: natural white birch (Betula platyphylla), tree biomass, compatible model, error-in-variable model

中图分类号:

S757

董利虎, 李凤日, 贾炜玮. 东北林区天然白桦相容性生物量模型[J]. 林业科学, 2013, 49(7): 75-85.

Dong Lihu, Li Fengri, Jia Weiwei. Compatible Tree Biomass Models for Natural White Birch (Betula platyphylla) in Northeast China Forest Area[J]. Scientia Silvae Sinicae, 2013, 49(7): 75-85.

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东北林区天然白桦相容性生物量模型

Compatible Tree Biomass Models for Natural White Birch (Betula platyphylla) in Northeast China Forest Area

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