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Position: Home > Articles > Predicting models of crown surface area and crown volume for Cunninghamia lanceolata plantation Journal of Central South University of Forestry & Technology 2015 (9) 88-92+103

杉木人工林树冠表面积及体积模型的研究

作  者:
涂宏涛;孙玉军;吴明钦;王明初;杨星华
单  位:
北京林业大学省部共建森林培育与保护教育部重点实验室
关键词:
杉木人工林;树冠表面积;树冠体积;预测模型
摘  要:
以福建杉木Cunninghamia lanceolata人工林为研究对象,基于15块样地的33株标准木的解析数据,探讨了树冠平均表面积、最大表面积、平均体积、最大体积4个复合指标的预测模型。结果表明:4个树冠复合指标与胸径、树高、冠长、冠幅之间呈显著相关,相应的增加变量可提高模型的拟合精度,但当模型变量增加到2个以上时,模型精度提高不大。模型检验结果表明,以冠幅和冠长为变量的树冠表面积模型为最优;树冠体积以冠幅、冠长和树高为变量的模型为最优。模型的预估精度P均大于70.3%,说明模型可以较好地预估杉木人工林的树冠表面积和体积。
译  名:
Predicting models of crown surface area and crown volume for Cunninghamia lanceolata plantation
作  者:
TU Hong-tao;SUN Yu-jun;WU Ming-qin;WANG Ming-chu;YANG Xing-hua;Key Lab.for Silviculture and Conservation Co-constructed by China Ministry Education and Beijing, Beijing Forestry University;
关键词:
Cunninghamia lanceolata plantation;;tree crown surface area;;tree crown volume;;forecasting model
摘  要:
Based on the data of 33 sample trees from 15 permanent plots in Cunninghamia lanceolata plantations, the predicting models of crown average-surface area, crown max-surface area, crown average-volume, crown max-volume were discussed and were studied and set up. The results show that these four crown composite indexes had significant relationships with other four tree variables, such as diameter at breast height, tree height, crown length, and crown width, the number increasing of tree variables can improve the fitting precision of the models, when the number increasing of tree variables were over two, the fitting precision of models cannot be obviously improved. The model test results show that the tree crown surface area model with crown length and tree height as the variables was the optimal; the crown volume model with crown width, crown length and tree height as the variables was the best; The estimated precisions of the optimal models were greater than 70.3%. Therefore, the models developed in this study are suitable for estimating the crown surface area and crown volume of C.lanceolata plantations.

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