详细信息
Modelling the relationship of tree-level product value with tree characteristics in black spruce ( SCI-EXPANDED收录 EI收录) 被引量:10
文献类型:期刊文献
英文题名:Modelling the relationship of tree-level product value with tree characteristics in black spruce
作者:Zhang, S.Y.[1] Lei, Y.C.[2] Jiang, Z.H.[3]
第一作者:Zhang, S.Y.
通信作者:Zhang, SY[1]
机构:[1]Forintek Canada Corp, Resource Assessment & Utilizat Program, Quebec City, PQ G1P 4R4, Canada;[2]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[3]Chinese Acad Forestry, Res Inst Wood Ind, Beijing 100091, Peoples R China
年份:2006
卷号:82
期号:5
起止页码:690-699
外文期刊名:FORESTRY CHRONICLE
收录:;EI(收录号:20064310193687);Scopus(收录号:2-s2.0-33750075467);WOS:【SCI-EXPANDED(收录号:WOS:000241707900023)】;
语种:英文
外文关键词:black spruce; regression models; elasticity analysis; product value; tree characteristics
摘要:The establishment of the relationship between tree-level product value and tree characteristics will allow for predicting the potential value of individual trees and a stand directly using tree characteristics. Using statistical and elasticity analysis methods this study examined the relationship of tree-level product value with selected tree characteristics in black spruce (Picea mariana). The study was based a sample of 139 trees from 48-year-old black spruce plantations grown in Ontario, Canada. The sample trees showed large variation in tree characteristics and tree-level product value. Models were developed and compared on the basis of statistics of the estimated and predicted criteria. Results show that the model, including only tree DBH, tree height and stem taper, is the best in describing the relationship of the tree-level product value with tree characteristics. Furthermore, relationships including input-output and interaction factors in the model were analyzed by calculating the elasticity of production and scale and the cross partial derivative of output with respect to the inputs. The analyses indicate that tree DBH has the largest and positive influence on tree-level product value, followed by tree height; however, stem taper has a negative effect on tree-level product value. When tree DBH, tree height and stem taper each increase by 1%, the quantities of output elasticity show 2.53%, 0.64% and -0.37% changes in the product value, respectively; while the scale elasticity shows a 2.81% increase in tree-level product value with a simultaneous 1% change in tree DBH, tree height and stem taper. Results indicate that the model is suitable for predicting tree-level product value using those tree characteristics from forest inventory and also reflects biological behaviour.
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