邓利. 用SPSS因子分析法建立速生桉人工林树高及蓄积量预估模型[J]. 西南林业大学学报, 2013, 33(3): 83-86. DOI: 10.3969/j.issn.2095-1914.2013.03.015
引用本文: 邓利. 用SPSS因子分析法建立速生桉人工林树高及蓄积量预估模型[J]. 西南林业大学学报, 2013, 33(3): 83-86. DOI: 10.3969/j.issn.2095-1914.2013.03.015
DENG Li. Establishment of Tree Height and Volume Prediction Models for Fast-Growing Eucalyptus Plantation with SPSS Factor Analysis Method[J]. Journal of Southwest Forestry University, 2013, 33(3): 83-86. DOI: 10.3969/j.issn.2095-1914.2013.03.015
Citation: DENG Li. Establishment of Tree Height and Volume Prediction Models for Fast-Growing Eucalyptus Plantation with SPSS Factor Analysis Method[J]. Journal of Southwest Forestry University, 2013, 33(3): 83-86. DOI: 10.3969/j.issn.2095-1914.2013.03.015

用SPSS因子分析法建立速生桉人工林树高及蓄积量预估模型

Establishment of Tree Height and Volume Prediction Models for Fast-Growing Eucalyptus Plantation with SPSS Factor Analysis Method

  • 摘要: 应用SPSS因子分析法对广西某林场的速生桉人工林林地生产力进行分析,根据林地立地条件,拟合出树高曲线模型和蓄积量模型,根据树高和蓄积模型可以预测出4~9年生速生桉树林的蓄积量,同时可以比较各小班林地生产力的大小。

     

    Abstract: The productivity of the fastgrowing eucalyptus plantation on a forest farm in Guangxi was analyzed with SPSS Factor Analysis Method. The tree height curve model and standing volume model were built based on the site conditions of the plantation. The standing volume of the 4 to 9 years old eucalyptus plantations was forecast by the tree height curve model and standing volume model, and then the productivity of different stands was compared.

     

/

返回文章
返回