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EUCALYPT SCIENCE & TECHNOLOGY
2014年
4期
17-22
,共6页
高灵%王瑞辉%王睿%谢耀坚%吴志华
高靈%王瑞輝%王睿%謝耀堅%吳誌華
고령%왕서휘%왕예%사요견%오지화
赤桉%胸径%冠幅%树高%立木材积%回归模型
赤桉%胸徑%冠幅%樹高%立木材積%迴歸模型
적안%흉경%관폭%수고%립목재적%회귀모형
Eucalyptus camaldulensis%DBH%crown width%tree height%standing timber volume%regression model
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。
對試驗地的1470株赤桉進行樹高、胸徑、冠幅的測量,併計算齣樣木的單株材積。把胸徑分彆和冠幅、樹高及株材積進行相關性分析併且建立數學模型,用SPSS軟件對所選模型進行麯線估計。結果錶明:其中冪方程的 R2最大,F 值亦為最大,說明赤桉胸徑與樹高的冪關繫顯著,可確定赤桉胸徑與樹高的最優迴歸方程為H=1.804D0.673。胸徑—冠幅,胸徑—材積的最優模型分彆為CW=0.674D0.561,V=0.0001614D2.341。分彆對3組最優模型進行適應性檢驗,結果錶明:材積的3箇最優迴歸模型預測誤差均在±3%以內,方程預測精度較高,可用于估算立木樹高、冠幅、材積。
대시험지적1470주적안진행수고、흉경、관폭적측량,병계산출양목적단주재적。파흉경분별화관폭、수고급주재적진행상관성분석병차건립수학모형,용SPSS연건대소선모형진행곡선고계。결과표명:기중멱방정적 R2최대,F 치역위최대,설명적안흉경여수고적멱관계현저,가학정적안흉경여수고적최우회귀방정위H=1.804D0.673。흉경—관폭,흉경—재적적최우모형분별위CW=0.674D0.561,V=0.0001614D2.341。분별대3조최우모형진행괄응성검험,결과표명:재적적3개최우회귀모형예측오차균재±3%이내,방정예측정도교고,가용우고산립목수고、관폭、재적。
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.