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林业资源管理 ›› 2008›› Issue (5): 50-56.doi: 10.13466/j.cnki.lyzygl.2008.05.007

• 科学技术 • 上一篇    下一篇

油松人工林单木树高生长模型研究

刘平1,2, 马履一1, 贾黎明1, 王玉涛2   

  1. 1.北京林业大学省部共建森林培育与保护教育部重点实验室,北京 100083;
    2.沈阳农业大学林学院,沈阳 110161
  • 收稿日期:2008-07-17 修回日期:2008-09-01 出版日期:2008-10-28 发布日期:2020-12-08
  • 通讯作者: 马履一,男,教授,博士生导师,主要研究方向:森林培育和树木生理。Email:maluyi@bjfu.edu.cn
  • 作者简介:刘 平(1979-),男,山西右玉人,博士,主要研究方向:森林培育。Email:lp79@163.com
  • 基金资助:
    国家林业局948项目“森林资源清查分析与管理技术引进”(2005-04-02);沈阳农业大学青年教师基金资助项目(20070206)

Study on Individual Tree Height Growth Model for Pinus tabulaeformis Plantation

LIU Ping1,2, MA Luyi1, JIA Liming1, WANG Yutao2   

  1. 1. The Key Laboratory for Silviculture and Conservation of Ministry of Education,Beijing Forestry University 100083,Beijing;
    2. Shenyang Agricultural University 110161,Shanyang,Liaoning Province,China
  • Received:2008-07-17 Revised:2008-09-01 Online:2008-10-28 Published:2020-12-08

摘要: 使用Richard,Logistic,Korf,Mitscherlich,Schumacher,Weibull等6种理论生长方程拟合了不同立地条件下油松人工林单木树高生长过程,从中选出模拟效果最优的生长方程。研究结果显示:三参数理论生长方程Logistic、Weibull、Richard、Korf对油松树高生长拟合的精度基本相近,明显高于二参数的Mitscherlich、Schumacher方程;立地指数显著影响各方程渐进线参数和形状参数,将立地指数引入各理论生长方程中,构建了模拟油松人工林单木树高生长精度最优的预测方程为Logistic式;使用未参加建模的油松解析木数据对构建的预测方程进行T检验,发现预测值与实测值之间无显著差异(P=0.6213>0.05)。可见,本文构建的预测方程可以准确预测油松人工林单木树高生长过程,为油松人工林科学经营提供重要参考。

关键词: 油松人工林, 理论生长方程, 树高生长模型

Abstract: Richard,Logistic,Korf,Mitscherlich,Schumacher,Weibull equations were used to simulate individual tree height growth of Pinus tabulaeformis plantation with different site indexes.The result showed that simulative precision of three parameters growth equations(Logistic,Weibull,Richard,Korf)were similar,and were significantly higher than those of the two parameters equation(Mitscherlich,Schumacher equation);Effect of site indexes on the progressive line parameters and shape parameters of the equation was significant.Individual tree height growth model of Pinus tabulaeformis plantations was constructed with the site indexes.The best forecast equation was the Logistic equation. Using some data of Pinus tabulaeformis plantation plot that are not used for building models to test,the result showed that the measured values and simulated values of height had no significant difference(p=0.6213>0.05).Therefore,the equation was able to predict accurately height growth of Pinus tabulaeformis plantation,and provide an important reference for Pinus tabulaeformis plantation management.

Key words: Pinus tabulaeformis plantation, theoretical growth equation, height growth model

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