详细信息
Property modeling of Changbai larch (Larix olgensis Henry) veneers in relation to stand and tree variables ( EI收录) 被引量:29
文献类型:期刊文献
英文题名:Property modeling of Changbai larch (Larix olgensis Henry) veneers in relation to stand and tree variables
作者:Wang, Brad Jianhe[1] Zhang, Hongbin[3] Wu, Lang[2] Huang, Suyong[3] Lu, Jianxiong[3] Zidek, James[2]
第一作者:Wang, Brad Jianhe
通信作者:Lu, J.
机构:[1] FPInnovations-Wood Products, 2665 East Mall, Vancouver, BC V6T 1W5, Canada; [2] Department of Statistics, University of British Columbia, Vancouver, BC V6T 1Z4, Canada; [3] Research Institute of Wood Industry, Chinese Academy of Forestry [CAF], Beijing, 100091, China
年份:2013
卷号:45
期号:3
起止页码:314-329
外文期刊名:Wood and Fiber Science
收录:EI(收录号:20133016544468)
语种:英文
外文关键词:Veneers
摘要:The key objective of this work was to investigate properties of Changbai larch (Larix olgensis Henry) veneers in relation to stand and tree variables using both linear regression (LR) and linear mixed effects (LME) models. A veneer data set was formed with 36 sample trees from four stands in China. Each tree was cross-cut into six segments along the vertical stem. The results showed that tree diameter at breast height (DBH), tree height, and branch height exhibited certain degrees of association with either veneer modulus of elasticity (MOE) or ultrasonic propagation time (UPT) but not with veneer density. Both veneer MOE and UPT exhibited a polynomial pattern along the tree stem. Stem position was found to be the only significant variable affecting veneer density. The highest veneer MOE appeared to be situated between the second and third stems from the butt. LME and LR models were clearly similar with regard to parameter estimates. However, the overall standard error and p value from the LME model were smaller than those from the LR model, indicating that the LME model was more effective for stemspecific analysis. After adjusting confounders including the stem position, tree height exhibited no association with veneer MOE. This result did not occur with standard LR analysis. ? 2013 by the Society of Wood Science and Technology. ? 2013 by the Society of Wood Science and Technology.
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