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线性回归在分析马尾松生长量中的应用

Application of Linear Regression in the Increment Analysis of Pinus massoniana
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摘要 本文采用线性回归法对近5年来样地内种植的马尾松生长量进行回归分析,建立胸径和树高的回归模型,并进行方差和t检验的差异分析。结果表明:XJ11的胸径与XJ10的胸径存在极显著的线性关系,回归模型为y=1.451+0.880x;2011年树高SG11与SG08存在显著的线性关系,回归模型为y=1.995+0.885x。所以可利用所建立的回归模型对马尾松胸径和树高进行预测和控制。 In this paper the increments of Pinus massoniana forests on the sample plots in the past five years were analyzed with the linear regression method. The diameter and height regression models were established and the variation analysis on variances and t-tests was carried out. The results showed that there is an extremely significant linear relationship between the DBHs of XJl1 and XJl0 and the regression model is y=1.451+0.880x, There is a significant linear relationship between the heights of SG11 and SG08 in 2011 and the regression model is y=1.995+0.885x. So the established regression models can be used to predict and control the DBHs and heights of Pinus massoniana forests.
出处 《安徽林业科技》 2012年第3期17-19,共3页 Anhui Forestry Science and Technology
基金 广西百科计字(2007--19)桂西北干热河谷区马尾松大径材培育技术研究
关键词 线性回归 马尾松 生长量 Linear regression Pinus massoniana Increments
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