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应用生态学报 ›› 2017, Vol. 28 ›› Issue (10): 3189-3196.doi: 10.13287/j.1001-9332.201710.018

• 目录 • 上一篇    下一篇

天然云杉相容性生物量估算模型

王金池1,邓华锋1*,黄国胜2,王雪军2,张璐2   

  1. 1. 北京林业大学林学院, 北京 100083;
    2. 国家林业局调查规划设计院, 北京 100714
  • 收稿日期:2017-03-20 修回日期:2017-07-04 出版日期:2017-10-18 发布日期:2017-10-18
  • 作者简介:王金池,女,1995年生,硕士研究生.主要从事森林资源监测与评价研究.E-mail:2276599635@qq.com
  • 基金资助:

    本文由北京市教育委员会科学研究与科研基地建设项目(省部共建重点实验室)、国家林业公益性行业科研专项(201204510, 201504303)和三峡库区生态屏障区生态效益监测技术与评价方法研究项目(2016K-1)资助

Compatible biomass models of natural spruce (Picea asperata).

WANG Jin-chi1, DENG Hua-feng1*, HUANG Guo-sheng2, WANG Xue-jun2, ZHANG Lu2   

  1. 1. College of Forestry, Beijing Forestry University, Beijing 100083, China;
    2. Academy of Forest Inventory and Planning, State Forestry Administration, Beijing 100714, China
  • Received:2017-03-20 Revised:2017-07-04 Online:2017-10-18 Published:2017-10-18
  • Supported by:

    This work was supported by the Science Research and Research Base Construction of Beijing Municipal Commission of Education (the Key Laboratory Co-constructed by Ministry of Education and Beijing), the Special Fund for Forest-Scientific Research in the Public Interest (201204510, 201504303), and the Research on Monitoring Technology and Evaluation Method of Ecological Barrier in the Three Gorges Reservoir Area (2016K-1).

摘要: 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.

Abstract: 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 R2 of the one-variable and bivariate compatible tree volume and aboveground biomass equations were all above 0.85, and the maximum value reached 0.99. The prediction effect of the volume equations could be improved significantly when tree height was included as predictor, while it was not significant in biomass estimation. For the compatible biomass systems, the one-variable model based on controlling jointly from level to level was better than the model using controlling directly under total above-ground biomass, but the bivariate models of the two methods were similar. Comparing the imitative effects of the one-variable and bivariate compatible biomass models, the results showed that the increase of explainable variables could significantly improve the fitness of branch and foliage biomass, but had little effect on other components. Besides, there was almost no difference between the two methods of estimation based on the comparison.