利用广西昭平县2009年二类调查控制样点的数据中的杉木的地径和胸径、树高为样本数据,并通过SPSS统计分析软件和数理统计知识,对地径与胸径、树高和材积的相关关系进行分析,分别建立地径与胸径、地径与材积的相关关系或曲线回归模型,最后选出最优模型,从而可利用模型由地径推算胸径和材积。结果表明,地径与树高存在显著正相关性,且地径6~20 cm 径阶与胸径之间最佳的回归模型为 D1．3=-0．199+0．851D地,地径22~40 cm径阶与胸径之间回归模型为D1．3=-1．652+0．913D地,精度是98．7%；同时地径与胸径也存在显著的正线性相关性,地径与材积的回归模型为V=0．000082D地2．48679,精度为95．2%。本次所建立的模型精度在允许范围内,可应用到实际中。
Correlation Analysis of Ground Diameter and DBH, Tree Height and Volume of Cunninghamia lanceolata in East Guangxi
Using ground diameter, DBH and tree height of Cunninghamia lanceolata from the control samples of second class investigation in Zhaoping county, Hezhou city, Guaingxi in 2009 as the sample data, and using the SPSS statistical analysis software and the knowledge of mathematical statistics, the correlation about the ground diameter and DBH, tree height and volume was analyzed. The correlations or curve regression models on ground diameter and DBH, and ground diameter and volume were established and the optimal model was selected , which could be used to calculate DBH and volume by ground diam-eter. The results showed that the ground diameter and tree height accumulated in strong positive correla-tion. The best regression model of ground diameter from 6cm to 20cm and DBH was D1. 3 = -0. 199 +0. 851D地. The regression model of ground diameter from 22cm to 40cm and DBH was D1. 3 = -1. 652+0. 913 D地, with precision 98. 7 %. Ground diameter and DBH also had a strong positive linear correla-tion. Regression model of the ground diameter and volume was V =0. 000 082D地2. 486 79 with precision 95. 2 %. The precision of the models built in this time was within permitted, which could be used in practice.
国家科技期刊平台
NSTL
万方数据
维普
