对试验地的1470株赤桉进行树高、胸径、冠幅的测量，并计算出样木的单株材积。把胸径分别和冠幅、树高及株材积进行相关性分析并且建立数学模型，用SPSS软件对所选模型进行曲线估计。结果表明：其中幂方程的 R2最大，F 值亦为最大，说明赤桉胸径与树高的幂关系显著，可确定赤桉胸径与树高的最优回归方程为H=1.804D0.673。胸径—冠幅，胸径—材积的最优模型分别为CW=0.674D0.561，V=0.0001614D2.341。分别对3组最优模型进行适应性检验，结果表明：材积的3个最优回归模型预测误差均在±3%以内，方程预测精度较高，可用于估算立木树高、冠幅、材积。%Data were collected from 1 470Eucalyptuscamaldulensis trees including tree height, diameter at breast height and crown width measurements. Individual tree volume was calculated from these parameters for each individual tree. Analyses of the correlations between diameter at breast height, crown width, tree height and individual tree volume were carried out using SPSS software. The results show that the largest of which R2,F value of the maximum power equation also shows diameter at breast height was significantly higher power relationship can be determinedE. camaldulensis optimal diameter and tree height regression equationH = 1.804 D0.673. Similarly come DBH– crown width, DBH - volume optimal model was CW = 0.674D0.561,V= 0.000 161 4D2.341. To ensure the accuracy of the research and analyses of, respectively, three groups of the far right model for adaptive test results showed that three best regression model to predict volume are in error within ± 3.0%, higher prediction accuracy equation can be used to estimate the standing tree height, crown width and volume.
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