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基于多元统计分析的南方红豆杉幼林修枝技术(PDF)

《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

Issue:
2016年03期
Page:
183-187
Column:
研究简报
publishdate:
2016-05-18

Article Info:/Info

Title:
Pruning techniques of Taxus chinensis var. mairei young plantations based on multivariate statistical analysis
Article ID:
1000-2006(2016)03-0183-05
Author(s):
OU Jiande
Mingxi County Forestry Bureau of Fujian Province, Mingxi 365200,China
Keywords:
Taxus chinensis var. mairei pruning intensity principal component analysis clustering analysis
Classification number :
S725
DOI:
10.3969/j.issn.1000-2006.2016.03.030
Document Code:
A
Abstract:
In order to optimize pruning techniques of Taxus chinensis var. mairei. The 13-year-old plantation in Fujian Province was taken as test objects for conducting the pruning tests. The influence of the pruning wood tree height, DBH and pruning intensity on the growth and stem forming characteristics of the trees after two years were analyzed. The results showed that the role of pruning on the single volume and breast height form factor indexes of the tested trees increased with the time extending. The pruning wood tree height, DBH and pruning intensity exert significant effect on the growth and stem forming characteristics of the trees after pruning for two years,it is necessary to select target trees and optimize the pruning intensity. The 31 T. chinensis var. mairei pruning individual trees were cluster analyzed according to the comprehensive score of growth and form traits of two years after pruning by principal component cluster analysis method. The results could determine the optimal pruning individual trees group, estimate the optimal group general parameter,and accurate optimum target trees pruning techniques. The reasonable target trees pruning intensity of T. chinensis var. mairei were 0.272 9-0.319 1 for relatively high,the target tree requirements were 501.55-527.45 cm for tree height,and 11.93-13.56 cm for DBH with a 99% confidence interval, which provided theoretical basis for the cultivation of T. chinensis var. mairei.

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Last Update: 2016-06-30