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林业资源管理 ›› 2019, Vol. 0 ›› Issue (6): 62-68.doi: 10.13466/j.cnki.lyzygl.2019.06.012

• 科学研究 • 上一篇    下一篇

贵州人工柳杉单株二元立木材积模型研究

张江平1,2(), 丁贵杰1()   

  1. 1. 贵州大学 林学院,贵阳 550025
    2. 贵州省林业调查规划院,贵阳 550003
  • 收稿日期:2019-09-26 修回日期:2019-10-13 出版日期:2019-12-28 发布日期:2020-05-09
  • 通讯作者: 丁贵杰
  • 作者简介:张江平(1978-),男,贵州清镇人,在读博士,主要从事森林资源调查方面的研究。Email: zjp337@163.com
  • 基金资助:
    贵州省“十”层次创新型人才培养项目(黔科合人才(2015)4003号)

Study on Binary Standing Timber Volume Model of Artificial Cryptomeria fortunei in Guizhou Province

ZHANG Jiangping1,2(), DING Guijie1()   

  1. 1. College of Forestry,Guizhou University,Guiyang,Guizhou 550025
    2. Guizhou Forestry Investigation and Planning Institute,Guiyang,Guizhou 550003
  • Received:2019-09-26 Revised:2019-10-13 Online:2019-12-28 Published:2020-05-09
  • Contact: DING Guijie

摘要:

在贵州省柳杉分布范围内设置典型样地,按8个径阶调查,共331株样木数据,其中建模样木240株,检验样木91株。选择《二元立木材积表编制技术规程》和与立木材积相关的4个数表模型进行模拟,采用ForStat统计软件中的加权最小二乘法,对不同模型中的离差平方和、相关指数、总相对误差等9项指标的拟合效果进行对比分析评价,选出柳杉二元立材积最佳模型,主要体现在分段检验各径阶总相对误差均达到小于±3%的要求。

关键词: 柳杉, 立木材积, 模型, 单株, 贵州省

Abstract:

Typical sample plots were set up in the distribution range of cryptomeria fortunei in Guizhou province,and 331 samples wood data were investigated according to 8 diameter steps,among which 240 were constructed and 91 were tested.Select "technical regulations for compiling binary stand timber volume table" and four number-table models related to stand volume,to simulate the model and taking the weighted least square method of ForStat statistical software,the different models of relative error from the sum of squared residuals,relevant index,total 9 indexes such as the fitting effect of comparative analysis and evaluation,elected binary standing timber volume optimal model of cryptomeria fortunei,mainly reflected in the segmented inspection the size order total relative error are less than ±3%.

Key words: Cryptomeria fortune, binary stand timber volume, model, single plant, Guizhou province

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