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Tree Height-Diameter Regression Models Development and One-Variable Tree Volume Tables Examination in Beijing

  • Ying PU ,
  • Weisheng ZENG ,
  • Fan YANG
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  • Academy of Inventory and Planning,National Forestry and Grassland Administration,Beijing 100714,China

Received date: 2021-03-23

  Revised date: 2021-04-23

  Online published: 2021-08-04

Abstract

Using the height data of 14 074 sample trees in Beijing,and taking the volume estimates from two-variable tree volume tables as the base,the tree height-diameter regression models and one-variable tree volume tables/equations for 13 tree species were developed,and prediction errors of new and old one-variable tree volume tables were examined and evaluated.The results showed that the relative error (RE) of total volume estimate predicted by the current one-variable tree volume tables for 13 tree species was -1.14%,and the REs of species-specific volume estimates were between -36.59%~47.76%,where the one-variable volume tables for 11 tree species have exceeded the allowable error ±5%;the mean prediction errors (MPE) of new one-variable tree volume equations for 13 tree species were all less than 5%,the total relative errors (TRE) and average systematic errors (ASE) were all within ±1%.The study concluded that only 2 of the 13 old one-variable tree volume tables can be applied,while the other 11 volume tables needed to be revised or updated;and the one-variable tree volume tables developed in this study for 13 tree species met the precision requirement of ministerial standard in forestry.

Cite this article

Ying PU , Weisheng ZENG , Fan YANG . Tree Height-Diameter Regression Models Development and One-Variable Tree Volume Tables Examination in Beijing[J]. Forest and Grassland Resources Research, 2021 , 0(3) : 62 -66 . DOI: 10.13466/j.cnki.lyzygl.2021.03.010

References

[1] LY 208—77,立木材积表[S].
[2] 常昆. 导算一元立木材积表的技术方法[J]. 林业调查规划, 1977(1):1-10.
[3] 辛文荣, 林建方, 张海凤. 关于青海省立木一元材积表的使用问题[J]. 青海农林科技, 1996(4):45-47.
[4] 曾伟生. 国家森林资源连续清查中的材积估计问题探讨[J]. 中南林业调查规划, 2007, 26(2):1-3.
[5] 杜德鱼. 一元立木材积表的适用精度检验方法探讨[J]. 林业资源管理, 2017(5):35-38.
[6] 李晖, 曾伟生. 不同区域落叶松二元立木材积表的检验及差异分析[J]. 林业科学, 2016, 52(6):157-162.
[7] 曾伟生. 我国主要树种二元立木材积表的检验[J]. 林业资源管理, 2018(5):35-41.
[8] 魏建祥, 曾伟生. 论北京市一元立木材积表的数式化方法[J]. 林业资源管理, 2009(6):44-45.
[9] 曾伟生, 唐守正. 立木生物量模型的优度评价和精度分析[J]. 林业科学, 2011, 47(11):106-113.
[10] LY/T 2414—2015,一元立木材积表编制技术规程[S].
[11] GB/T 38590—2020,森林资源连续清查技术规程[S].
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