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    颜伟, 段光爽, 王一涵, 孙钊, 周桃龙, 符利勇. 河南省栎类和杨树林分断面积和蓄积生长模型构建[J]. 北京林业大学学报, 2019, 41(6): 55-61. DOI: 10.13332/j.1000-1522.20180311
    引用本文: 颜伟, 段光爽, 王一涵, 孙钊, 周桃龙, 符利勇. 河南省栎类和杨树林分断面积和蓄积生长模型构建[J]. 北京林业大学学报, 2019, 41(6): 55-61. DOI: 10.13332/j.1000-1522.20180311
    Yan Wei, Duan Guangshuang, Wang Yihan, Sun Zhao, Zhou Taolong, Fu Liyong. Construction of stand basal area and volume growth model for Quercus and Populus in Henan Province of central China[J]. Journal of Beijing Forestry University, 2019, 41(6): 55-61. DOI: 10.13332/j.1000-1522.20180311
    Citation: Yan Wei, Duan Guangshuang, Wang Yihan, Sun Zhao, Zhou Taolong, Fu Liyong. Construction of stand basal area and volume growth model for Quercus and Populus in Henan Province of central China[J]. Journal of Beijing Forestry University, 2019, 41(6): 55-61. DOI: 10.13332/j.1000-1522.20180311

    河南省栎类和杨树林分断面积和蓄积生长模型构建

    Construction of stand basal area and volume growth model for Quercus and Populus in Henan Province of central China

    • 摘要:
      目的建立河南省栎类和杨树林分断面积和蓄积生长模型,为森林可持续经营提供基础数据。
      方法基于河南省最近3期一类森林资源清查数据,从9个具有生物学意义的备选模型中选出一个最优基础模型。以树种和立地等级作为哑变量,构建林分断面积和蓄积生长模型。
      结果利用全部样地数据拟合9个备选模型,断面积和蓄积最优生长模型都是Richards形式的模型,决定系数均在0.92以上。引入树种和立地等级作为哑变量后,与基础模型相比断面积和蓄积生长模型拟合精度都有所提高,其决定系数分别为0.98和0.94。
      结论带树种和立地等级的哑变量模型能同时反映河南省栎类和杨树林分断面积和蓄积生长规律,既减少了建模工作量,又提供了不同林分合并建模的方法。河南省栎类林分断面积和蓄积生长极限值高于杨树;相同林分密度条件下,栎类早期生长速率低于杨树,且栎类和杨树的生长速率均随着立地质量的下降而降低。

       

      Abstract:
      ObjectiveDeveloping the stand basal area and volume growth model for Quercus and Populus in Henan Province of central China was technical data support for forest sustainable management.
      MethodBased on the latest three data of national forest inventory in Henan Province, an optimal basic model was selected from 9 candidate models with biological significance. Taking account of the disturbance from species and site class, the stand basal area and volume growth model with dummy variable was constructed.
      ResultThe optimal models of 9 alternative models fitted to the total data were the form of Richards, whose coefficients of determination were all above 0.92. The fitting precision of the stand basal area and volume growth model with species and site class as dummy variable, whose coefficients of determination were 0.98, 0.94, respectively, was enhanced distinctly compared with basic model.
      ConclusionThe growth pattern of stand basal and volume for Quercus and Populus in Henan Province was described by the model with species and site class as dummy variable, which reduced the workload of computation, and also provided a method for integrating different forest stand. The limit values of stand basal area and volume for Quercus were higher than those for Populus, but were reversed in growth rate with the same stand density. Furthermore, the growth rates of stand basal area and volume with the same stand density for Quercus and Populus were both decreased with the decrease of site quality.

       

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