Editors-in-Chief:  Weilun Yin, Beijing Forestry University, China Klaus v. Gadow, University of Göttingen, Germany
Volume 8 Issue 1
Nov.  2019
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Li Wen-bin, Sun Ren-shan, Liu Xu-hua, Liu Yong. Discrimination method of forked larch trees[J]. Forest Ecosystems, 2006, 8(1): 46-49. DOI: 10.1007/s11632-006-0013-8
Citation: Li Wen-bin, Sun Ren-shan, Liu Xu-hua, Liu Yong. Discrimination method of forked larch trees[J]. Forest Ecosystems, 2006, 8(1): 46-49. DOI: 10.1007/s11632-006-0013-8
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Discrimination method of forked larch trees

  • 1 School of Technology, Beijing Forestry University, Beijing 100083, P. R. China;

  • 2 College of Mathematics, China Agricultural University, Beijing 100083, P. R. China;

  • 3 College of Resources and Environment, Beijing Forestry University, Beijing 100083, P. R. China

Funds: 

This study was financially supported by the National Natural Science Foundation of China (Grant No.30471387) and the "Tenth Five-year Plan" National Key Project in Science and Technology (Grant No. 2004BA524B09).

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  • Received Date: 15 August 2005
  • Rev Recd Date: 09 November 2005
    Graphical Abstract
    • Abstract
  • For the demands of automatic pruning, an effective discrimination rule of the forked and non-forked larch trees is established. First, information of trunk and branch diameters of a larch plantations was collected from the west mountain of Beijing. The growth characteristics of the forked and non-forked trees were studied. Given the statistical characteristics of the trunk and branch diameters, a discriminant function of the forked branch and non-forked larch trees was established statistically. Excellent discrimination results were obtained by the function and the rule. The study presents an effective discrimination rule to separate forked trees from straight trees for automatic pruning.
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