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林业资源管理 ›› 2014, Vol. 0 ›› Issue (5): 51-57.doi: 10.13466/j.cnki.lyzygl.2014.05.010

• 科学研究 • 上一篇    下一篇

北京杨树相容性立木材积系列模型研建

杜鹏志1, 薛康1, 曾伟生2, 冯仲科3, 曹忠3   

  1. 1.北京市林业勘察设计院,北京 100029;
    2.国家林业局调查规划设计院,北京 100714;
    3.北京林业大学 精准林业北京市重点实验室,北京 100083
  • 收稿日期:2014-08-07 修回日期:2014-09-22 出版日期:2014-10-28 发布日期:2020-11-23
  • 通讯作者: 曾伟生(1966-),教授级高工,博士,主要从事森林资源调查监测与林业数表研制工作。 Email:zengweisheng@sohu.com。
  • 作者简介:杜鹏志(1962-),男,北京平谷人,教授级高工,主要从事森林资源调查监测工作。

Developing Compatible Tree Volume Equations for Populus in Beijing

DU PengZhi1, XUE Kang1, ZENG WeiSheng2, FENG ZhongKe3, CAO Zhong3   

  1. 1. Beijing Municipal Institute of Forest Surveying and Designing,Beijing 100029,China;
    2. Academy of Forest Inventory and Planning,State Forestry Administration Beijing 100714,China;
    3. Beijing Key Laboratory of Precision Forestry,Beijing Forestry University,Beijing 100083,China
  • Received:2014-08-07 Revised:2014-09-22 Online:2014-10-28 Published:2020-11-23

摘要: 以北京市最重要的阔叶树种杨树(Populus)为研究对象,利用1 678株样木的材积测量数据,通过采用哑变量模型和误差变量联立方程组方法,建立了毛白杨(P.tomentosa)、速生杨(P.× euramericana)和加拿大杨(P.× canadensis)3个树种(组)的相容性二元立木材积方程、胸径和地径一元立木材积方程、树高胸径回归模型及地径胸径回归模型,并分析了不同树种之间的差异。结果表明:二元立木材积方程的平均预估误差均在2%以内,胸径一元材积方程和地径一元材积方程的平均预估误差也大都在3%以内,达到了立木材积表的编制精度要求。所建模型可为北京市杨树林的蓄积量估计提供准确的计量依据。

关键词: 材积方程, 树高模型, 地径模型, 哑变量, 误差变量, 联立方程组, 杨树

Abstract: Taking the most important coniferous species of Beijing,Populus,as the studying object,and using the mensuration volume data of 1678 sample trees,the authors developed the compatible two-and one-variable (diameter at breast height-dbh,and diameter at root collar-drc)tree volume equations,height-dbh regression models,and drc-dbh regression models for three species,i.e.,P.tomentosa,P.× euramericana and P.× canadensis,through employing dummy variable model and error-in-variable simultaneous equations approach,and analyzed the differences between the models of three species.The results showed that the mean prediction errors (MPE’s)of two-variable tree volume equations were all less than 2%,and the MPE’s of one-variable equations based on dbh and drc were almost less than 3%,which could meet the need of precision for developing tree volume tables.The tree volume equations constructed in this paper could be applied for volume estimation of poplar forests in Beijing.

Key words: volume equation, height-dbh model, drc-dbh model, dummy variable, error-in-variable, simultaneous equations, Populus

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