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    小黑杨树木特征因子与木材生长量的相关性研究

    刘杏娥, 江泽慧, 王小青, 费本华, 任海青

    刘杏娥, 江泽慧, 王小青, 费本华, 任海青. 小黑杨树木特征因子与木材生长量的相关性研究[J]. 北京林业大学学报, 2007, 29(3): 136-141. DOI: 10.13332/j.1000-1522.2007.03.022
    引用本文: 刘杏娥, 江泽慧, 王小青, 费本华, 任海青. 小黑杨树木特征因子与木材生长量的相关性研究[J]. 北京林业大学学报, 2007, 29(3): 136-141. DOI: 10.13332/j.1000-1522.2007.03.022
    LIU Xing-e, JIANG Ze-hui, WANG Xiao-qing, FEI Ben-hua, REN Hai-qing. Correlationship between tree characteristics and wood increments of Populus×xiaohei[J]. Journal of Beijing Forestry University, 2007, 29(3): 136-141. DOI: 10.13332/j.1000-1522.2007.03.022
    Citation: LIU Xing-e, JIANG Ze-hui, WANG Xiao-qing, FEI Ben-hua, REN Hai-qing. Correlationship between tree characteristics and wood increments of Populus×xiaohei[J]. Journal of Beijing Forestry University, 2007, 29(3): 136-141. DOI: 10.13332/j.1000-1522.2007.03.022

    小黑杨树木特征因子与木材生长量的相关性研究

    基金项目: 

    国家自然科学基金重点项目(30230420).

    详细信息
      作者简介:

      刘杏娥,博士.主要研究方向:木材科学与技术.电话:010-62889024 Emial:liouxe@forestry.ac.cn 地址:100091 中国林业科学研究院木材工业研究所.

    • 中图分类号: S781

    Correlationship between tree characteristics and wood increments of Populus×xiaohei

    • 摘要: 为了揭示树木生长特征与木材生长量(幼龄材、成熟材面积及心、边材面积)的关系,该文以山西朔州地区的小黑杨为研究材料,采用相关性分析方法,建立了基于树木特征因子的木材生长量经验模型,并对模型进行了弹性分析.结果表明:冠幅、冠长、胸径与木材生长量呈显著正相关性;以树木胸径、树高、冠幅、尖削度为自变量,采用乘幂函数的方程形式能很好地拟合小黑杨树木特征因子与其木材生长量的关系,其决定系数为0.6060.932.回归模型的标准回归系数分析表明,胸径对木材生长量的贡献最大.弹性分析进一步表明胸径的影响最大,且模型因子间存在互补又竞争的复杂关系.
      Abstract: To clarify the correlationship between tree characteristics and wood increments (juvenile wood area, mature wood area, sapwood area and heartwood area) of Populus×xiaohei T.S.Hwang et Liang in Shuozhou Region, Shanxi Province, correlation analysis method was applied, and empirical models for prediction of wood increments were established.Elasticity analysis was employed to examine these models.Results indicated that the variables of crown width (CW), crown length (CL), as well as diameter at breast height (DBH) were all positively related to wood increments.Empirical models, with the form of power functions including DBH, height (H), CW, and stem taper (ST) as explanatory variables, are the best way to describe the relationship between tree characteristics and wood increments.The coefficients of determination of established models ranged from 0.606 to 0.932.Analysis of standardized regression coefficients of regression models shows that DBH contributes most to wood increments.Furthermore, elasticity analysis indicates that DBH has the greatest and most positive influence on wood increments, and both complementary and competitive relationships exist among input variables in these models.
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      其他类型引用(6)

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    • 被引次数: 12
    出版历程
    • 收稿日期:  2006-06-29
    • 网络出版日期:  2024-03-26

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