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林业资源管理 ›› 2018, Vol. 0 ›› Issue (5): 47-53.doi: 10.13466/j.cnki.lyzygl.2018.05.009

• 科学研究 • 上一篇    下一篇

基于树高-年龄分级的广东枫香生长模型

徐期瑚1(), 林丽平1, 薛春泉1, 罗勇1, 杨加志1, 雷渊才2   

  1. 1.广东省林业调查规划院,广州 510520
    2.中国林业科学研究院资源信息研究所,北京 100091
  • 收稿日期:2018-05-14 修回日期:2018-10-18 出版日期:2018-10-28 发布日期:2020-09-24
  • 作者简介:徐期瑚(1973-),男,湖北监利人,高工,硕士,主要从事森林生态监测、林业碳汇计量监测及林业生态规划工作。Email: csfuxqh@163.com
  • 基金资助:
    广东省林业科技创新平台建设项目“广东省碳汇计量监测创新平台建设”(2016CXPT03);广东省林业科技专项“广东主要碳汇造林树种生物量模型研建”(2015-02)

Height-Age Growth Model for Liquidambar formosana in Guangdong Using the Classified Height Method

XU Qihu1(), LIN Liping1, XUE Chunquan1, LUO Yong1, YANG Jiazhi1, LEI Yuancai2   

  1. 1. Guangdong Institute of Forestry Inventory and Planning,Guangzhou 510520,China
    2. Research Institute of Forest Resource Information Techniques,CAF,Beijing 100091,China
  • Received:2018-05-14 Revised:2018-10-18 Online:2018-10-28 Published:2020-09-24

摘要:

基于广东省第八次森林资源连续清查样地的枫香分布情况,在广东省内选取90株不同径阶枫香伐倒木(其中40株树干解析木),开展不同立地等级的枫香生长模型研究。结果表明:1)枫香胸径、树高、材积未分级拟合的最优模型均为Gompertz模型,模型形式依次为$D=43.100e^{(-3.277e^{-0.067T})},H=19.404e^{(-2.336e^{-0.111T})},V=1.244e^{(-6.992e^{-0.069T})}$。2)采用Gompertz模型建立树高-年龄3个立地分级曲线,确定每株样木的立地分级,3个立地等级的胸径生长模型依次为$D_1=61.724(1-e^{-0.049T} )^{1.915},D_2=51.992/(1+12.946e^{-0.088T}),D_3=36.135e^{(-3.090e^{-0.060T})}$;树高的最优模型依次为$H_1=26.704e^{(-1.997e^{-0.099T})},H_2=20.035e^{(-2.234e^{-0.099T})},H_3=15.031e^{(-2.471e{-0.099T})}$;材积的最优模型依次为$V_1=3.335(1-e^{-0.044T} )^{3.798},V_2=1.629e^{(-7.434e^{-0.060T})},V_3=1.087/(1+163.827e^{-0.127T})$。3)使用分级方法构建的枫香胸径、树高、材积模型拟合效果灵敏度较好、精度较高,总体效果要优于未分级方法构建的模型。

关键词: 树高-年龄分级模型, 树干解析, 生长模型, 枫香, 广东

Abstract:

All 90 sample trees of Liquidambar formosana were obtained in 10 diameter classes including 40 stem analysis,based on the 8th Consecutive Forest Inventory data of the distribution of camphor in Guangdong Province in 2012,the growth models of different site grades of Liquidambar formosana were studied.The results showed that:(1) optimal equations to simulate the growth process of DBH,tree height and volume were of Gompertz,which were as follows:$D=43.100e^{(-3.277e^{-0.067T})},H=19.404e^{(-2.336e^{-0.111T})},V=1.244e^{(-6.992e^{-0.069T})}$.Using Gompertz equations to establish the tree height-age classified model and determine the site classification of each tree.The optimal models of DBH were as follows:$D_1=61.724(1-e^{-0.049T} )^{1.915},D_2=51.992/(1+12.946e^{-0.088T}),D_3=36.135e^{(-3.090e^{-0.060T})}$.The optimal models of tree height were as follows:$H_1=26.704e^{(-1.997e^{-0.099T})},H_2=20.035e^{(-2.234e^{-0.099T})},H_3=15.031e^{(-2.471e{-0.099T})}$.The optimal models of volume were as follows:$V_1=3.335(1-e^{-0.044T} )^{3.798},V_2=1.629e^{(-7.434e^{-0.060T})},V_3=1.087/(1+163.827e^{-0.127T})$.(3) The optimal model of classified and unclassified method is different,the fitting models of using classified method in DBH,tree height,volume were better than unclassified model.

Key words: graded height-age model, stem analysis, growth model, Liquidambar formosana, Guangdong

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