林业调查规划2024,Vol.49Issue(4) :1-6,153.DOI:10.3969/j.issn.1671-3168.2024.04.001

广西速丰桉二元立木材积模型研建

Binary Volume Model for Fast-Growing and High-Yield Eucalyptus in Guangxi

徐庆玲 郭道峰 韦秋生 黎庆华 罗霸 莫焕雄 覃孙慧
林业调查规划2024,Vol.49Issue(4) :1-6,153.DOI:10.3969/j.issn.1671-3168.2024.04.001

广西速丰桉二元立木材积模型研建

Binary Volume Model for Fast-Growing and High-Yield Eucalyptus in Guangxi

徐庆玲 1郭道峰 1韦秋生 2黎庆华 2罗霸 2莫焕雄 3覃孙慧4
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作者信息

  • 1. 广西壮族自治区林业勘测设计院,广西 南宁 530011
  • 2. 广西柳州市柳江区自然资源局,广西 柳州 545100
  • 3. 广西梧州市长洲区林业局,广西 梧州 543003
  • 4. 广西柳州市鹿寨县林业局,广西 柳州 545600
  • 折叠

摘要

在广西速丰桉6 个区域设置276 块标准地,按径阶采集 539 株样木,选取山本式固定参数模型和山本式可变参数模型分别构建速丰桉二元材积模型,通过比较参数变动系数并综合修正决定系数、总相对误差、平均系统误差、平均百分标准误差及预估精度等指标,确定V=0.000 043 54×D1.71874×H1.19727 为最佳的二元材积模型.同时,对模型进行不同树种、区域、胸径、树高分段及独立样本检验,结果表明,模型各项精度均达到编制二元材积模型的精度要求,可广泛应用于广西速丰桉伐区设计调查和其他生产经营活动.

Abstract

In this study,276 standard plots were set up in 6 areas of fast-growing and high-yield Euca-lyptus forest in Guangxi,and 539 sample trees were collected by diameter class.The Yamamoto-Kazu-hide models with fixed and variable parameters were used to construct the binary volume model.By com-paring the parameter variation coefficient and integrating correction coefficients such as determination co-efficient,total relative error,mean systematic error,mean percentage standard error,and estimation ac-curacy,the best binary volume model was V=0.000 043 54×D1.71874×H1.19727.The model was tested by species,different regions,different diameter classes,tree height classes,and independent sample tests.The results showed that the accuracy of the model met the requirements for developing binary volume models and could be widely applied to the design and investigation of logging areas and other production and management activities in fast-growing and high-yield Eucalyptus forests in Guangxi.

关键词

速丰桉/二元材积模型/山本式固定参数模型/独立样本检验/胸高形数

Key words

fast-growing and high-yield Eucalyptus/binary volume model/Yamamoto-Kazuhide model with fixed parameters/independent sample testing/breast-height form factor

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基金项目

广西林业科研项目(桂林科研[2016]31号)

广西林业科研项目(桂林科研[2016]24号)

广西林业科研项目(桂林科研[2015]15号)

出版年

2024
林业调查规划
云南省林业调查规划院 西南地区林业信息中心

林业调查规划

CSTPCD
影响因子:0.45
ISSN:1671-3168
参考文献量13
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