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林业资源管理 ›› 2014, Vol. 0 ›› Issue (2): 83-86.doi: 10.13466/j.cnki.lyzygl.2014.02.015

• 科学研究 • 上一篇    下一篇

东北林区臭松次生林直径结构规律研究

肖化顺, 刘玉, 刘发林   

  1. 中南林业科技大学,长沙 410004
  • 收稿日期:2014-01-21 修回日期:2014-04-15 出版日期:2014-04-28 发布日期:2020-12-09
  • 作者简介:肖化顺 (1968-),男,湖南武冈人,副教授,博士,从事森林经理教学与科研工作。Email:594267792@qq.com
  • 基金资助:
    国家林业局林业公益性行业项目“天保工程区天然公益林抚育经营关键技术研究”(201204504);湖南省教育厅资助项目 “天然次生林竞争生长规律研究”(13C1155)

Study on Diameter Structure of Secondary Forest of Adiessibirica Ledeb in the Northeast Forest Area

XIAO Huashun, LIU Yu, LIU Falin   

  1. Central South University of Forestry and Technology,Changsha 410004,China
  • Received:2014-01-21 Revised:2014-04-15 Online:2014-04-28 Published:2020-12-09

摘要: 以吉林汪清林区臭松次生林为对象,分析了臭松次生林的树种组成和直径结构规律。采用威布尔分布(Weibull)、伽马(Gamma)及对数正态分布(logarithmic normal)进行直径拟合并进行卡方检验,研究表明:臭松林分平均直径为15.1cm,最小直径为5.1cm,最大直径为47.1cm,6—28径阶的林木株数所占比重最多,达75.8%,3种分布函数中,威布尔分布的R2为0.997,卡方(χ2)为6.35,拟合效果最好,伽马分布次之,对数正态分布最差,但前两者的差异不大,故威布尔分布和伽马分布适用于臭松林直径结构预测,可为臭松次生林直径结构和林分密度调整提供理论依据。

关键词: 直径结构, 臭松, 威布尔分布, 伽马分布, 对数正态分布

Abstract: An analysis was made on the diameter structure of the secondary forest of Adiessibirica Ledeb in the Northeast forest area.The Weibull distribution,Gamma distribution and Log-normal distribution were used for fitting stand diameter distribution and combined with χ2 fitting result for examination.The results indicated that the average DBH of Adiessibirica Ledeb forest was 15.1cm,the least diameter class was 5.1cm,the maximum diameter class was 47.1cm,and,the accumulating percentage of diameter class(6-28)was 75.8%.Among the whole distribution functions,the R2 Weibull was 0.997,the χ2 was 6.35 and the distribution fitting effect is best,followed by the Gamma distribution,the Log-normal distribution was worst,but the difference between the frontal two distributions was similar,all of them can be used to predict Adiessibirica Ledeb diameter structure,which provided theoretical basis for diameter structure and stand density redjustment.

Key words: diameter structure, Abies nephrolepis, Weibull distribution, Gamma distribution, Log-normal distribution

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