DocumentCode
531918
Title
Diameter distribution of larch forests baesd on different thinning intensity in Changbai Mountain, Northeast China
Author
Li, Gu ; Zheng Xiao-zian ; Liu Dong-lan ; Yang-Cui, Ning ; Wen-Zhen, Ju
Author_Institution
Key Lab. for Silviculture & Conservation, Beijing Forestry Univ., Beijing, China
Volume
5
fYear
2010
fDate
22-24 Oct. 2010
Abstract
In this paper, four typical thinning intensity were choose to the larch forests. After thinning, significant differences in stand periodic increment between control and thinning plots appeared. ANOVA indicated significant difference in any stand characteristic among treatments prior to thinning. Information on the distribution of stand characteristics in specific tree-size classes at given is valuable to for managers. So the objective of this study was to develop and compare the two methods (i, e., Normal distribution and Weibull distribution) for estimating the diameter distribution of larch forests Baesd on Different thinning intensity in Changbai Mountain, Northeast China, the results showed that all the thinning intensity followed the Normal distribution, and the correlation coefficients were above 0.918, but only the middle thinning conforms to the Weibull distribution, the correlation coefficient is 0.929. From chi-test results, the diameter structure simulated in this paper is applied, and with small application error and high precision. This showed that the Normal distribution can be chosen the prediction function for the area with stand structure distribution in the future.
Keywords
Weibull distribution; forestry; normal distribution; ANOVA; Changbai mountain; China; Larch forests; Weibull distribution; diameter distribution; normal distribution; thinning intensity; Diameter distribution; Normal function; Thinning intensity; Weibull function; larch forests;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Electronic_ISBN
978-1-4244-7237-6
Type
conf
DOI
10.1109/ICCASM.2010.5619140
Filename
5619140
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