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作 者:王怡[1] 汤景明[1] 孙拥康[1] WANG Yi;TANG Jingming;SUN Yongkang(Hubei Academy of Forestry,Wuhan 430075,China)
出 处:《森林工程》2021年第1期1-5,共5页Forest Engineering
基 金:中德财政合作林业重大科研项目(zdhz2017ky02)。
摘 要:为研究青冈栎人工林树高和胸径的生长关系模型,以九峰国家森林公园的青冈栎人工林为研究对象,将484组树高和胸径数据分成建模数据和检验数据,选用10种常见树高曲线模型分别对建模数据进行拟合。结果显示,10种树高曲线模型均达到极显著水平(P<0.01),其中二次曲线模型的残差平方和(SSE)、均方根误差(RMSE)最小,决定系数(R 2)最大,符合最优模型的筛选原则,最优模型的残差分析无异常值出现,并且将检验数据代入最优模型得到的树高预测值和实测值之间也无显著差异(Sig.=0.159>0.05)。结论表明,二次曲线模型可以对青冈栎人工林树高进行有效预测。In order to study the growth relation model between tree height and DBH of Cyclobalanopsis glauca plantation,Cyclobalanopsis glauca plantation in Jiufeng National Forest Park was taken as the research object.484 groups of tree height and DBH data were divided into modeling data and test data,and 10 common tree height curve models were selected to fit the modeling data respectively.The results showed that all the 10 tree height curve models reached extremely significant level(P<0.01),among which the quadratic curve model had the smallest SSE and RMSE and the largest R 2,which accorded with the screening principle of the optimal model.The residual analysis of the optimal model showed no significant difference,and there was no significant difference between the predicted and measured tree height values obtained by substituting test data into the optimal model(Sig.=0.159>0.05).The conclusion showed that the quadratic curve model could effectively predicted the height of Cyclobalanopsis glauca plantation.
分 类 号:S758[农业科学—森林经理学]
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