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http://dx.doi.org/10.14578/jkfs.2011.100.2.4

Uncertainty Analysis of Stem Density and Biomass Expansion Factor for Pinus rigida in Korea  

Seo, Yeon Ok (Department of Forest Resources, Kongju National University)
Lee, Young Jin (Department of Forest Resources, Kongju National University)
Pyo, Jung Kee (Division of Forest Management, Korea Forest Research Institute)
Kim, Rae Hyun (Division of Forest Management, Korea Forest Research Institute)
Son, Yeong Mo (Division of Forest Management, Korea Forest Research Institute)
Lee, Kyeong Hak (Division of Forest Management, Korea Forest Research Institute)
Publication Information
Journal of Korean Society of Forest Science / v.100, no.2, 2011 , pp. 149-153 More about this Journal
Abstract
This study was conducted to examine the uncertainty analysis of the stem density and biomass expansion factor for Pinus rigida in Korea. A total of 57 representative sample trees were harvested. The age class in Pinus rigida forests was divided into two, which were stands with less than 20 years and more than 21 years. The influence of stand ages on biomass expansion factor showed that it was statistically significant (p=0.0001), but it was not significant on stem density (p=0.8070). The results of this study based on the uncertainty evaluation method which were suggested by IPCC guide line indicated that stem density of the stand with less than 20 years were 30.92%, while were 25.12% the stands with more than 21years. The uncertainty in biomass expansion factor of less than 20 years and more than 21 years were 60.32% and 22.42%, respectively. The uncertainty of less than 20 years was higher compared to those stands with more than 21 years. In the case of old stand, it showed the lowest uncertainty results but younger stands showed the highest uncertainty results. This study could be applied to our country's emission factor by using stem density and biomass expansion factors which were less than 20 years and more than 21 years for Pinus rigida in Korea.
Keywords
Pinus rigida; stem density; biomass expansion factor; uncertainty;
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