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黄金宝树树冠分形特征及枝系构型分析
引用本文:蔡锰柯,;林开敏,;郑晶晶.黄金宝树树冠分形特征及枝系构型分析[J].西南林学院学报,2014(5):42-46.
作者姓名:蔡锰柯  ;林开敏  ;郑晶晶
作者单位:[1]福建农林大学林学院,福建福州350002; [2]国家林业局杉木工程技术研究中心,福建福州350002
摘    要:以黄金宝幼树为研究对象,经过2a左右的生长观察,分析其树冠的分形维数及其枝系构型,采用主成分分析方法对9个枝系构型指标进行分析,结果表明,黄金宝树冠幅均值的分形维数为0.57,冠幅面积的分形维数为0.18,树冠体积的分形维数为0.21;该时期以高生长为主,各枝处于生长状态,但四级枝条较少,枝条由一级转化为二级的能力高于二级转化为三级和三级转化为四级。主成分分析结果还表明,第一主成分贡献率为40.37%,第二主成分贡献率为21.61%;通过第一和第二主成分分析体现了黄金宝树该阶段的2种生态适应机制,即冠幅、冠幅面积、冠幅体积和枝径均值均趋于增大,逐步分枝率3,4和枝条倾角则均趋于减小。

关 键 词:黄金宝树  分形维数  枝系构型  主成分分析

Fractal Characteristics of Crown Structure and Its Architectural Analysis in Melaleuca bracteata
Institution:CAI Meng-ke, LIN Kai-min, ZHENG Jing-jing ( 1. College of Forestry, Fujian Agriculture and Forestry University, Fuzhou Fujian 350002, China; 2. State Forestry Administration Engineering Research Center for Forestry fir, Fuzhou Fujian 350002, China)
Abstract:In this paper,2-year old Melaleuca bracteata were studied to analyze its fractal dimension of crown structure and branch system configuration,and then used Principal Component Analysis method on 9 branch depart-ment configuration indicators.Results showed that the fractal dimension of Melaleuca bracteata crown value was 0.57,crown site area was 0.18,and crown volume was 0.21. At the same time,in this stage,high growth was dominated,and all branches were growing,but the number of branch grade 4 was fewer. Branche grade 1 was easi-er to translate into branch grade 2,while branch grade 2 translated into grade 3 and branch grade 3 translated into grade 4 were more difficult. In the other hand,the contribution rate of the first principal component was 40.37%;the second one was 2 1.6 1%.The first and second Principal Components Analysis reflected the two species′ecolog-ical adapted mechanism of Melaleuca bracteata,showing that the crown′s site,area,volume and branch trail value tended to increase,while overall points branch rate,and gradually points branch rate and branches inclination ten-ded to reduce.
Keywords:Melaleuca bracteata  fractal dimension  branch system configuration  Principal Component Analysis
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