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http://dx.doi.org/10.14578/jkfs.2014.103.2.175

Allometric Equations and Biomass Expansion Factors by Stand Density in Cryptomeria japonica Plantations  

Gwon, Jung-Hwa (Gyeongsangnamdo Forest Environment Research Institute)
Seo, Huiyeong (Department of Forest Resources, Gyeongnam National University of Science and Technology)
Lee, Kwang-Soo (Southern Forest Resource Research Center, Korea Forest Research Institute)
You, Byung-Oh (Southern Forest Resource Research Center, Korea Forest Research Institute)
Park, Yong-Bae (Southern Forest Resource Research Center, Korea Forest Research Institute)
Jeong, Jaeyeob (CERAR, University of South Australia)
Kim, Choonsig (Department of Forest Resources, Gyeongnam National University of Science and Technology)
Publication Information
Journal of Korean Society of Forest Science / v.103, no.2, 2014 , pp. 175-181 More about this Journal
Abstract
This study was conducted to evaluate stand density-specific and generalized allometric equations, and biomass expansion factors (BEFs) for two stand densities (high density of 47-year-old: $667tree{\cdot}ha^{-1}$; low density of 49-year-old: $267tree{\cdot}ha^{-1}$) of Cryptomeria japonica plantations in Namhae-gun, located in the southern Korea. Biomass in each tree component, i.e. foliage, branch, and stem, was quantified by destructive tree harvesting. Allometric regression equations of each tree component were significant (P<0.05) with diameter at breast height (DBH) accounting for 80-96% of the variation except for branch biomass in high density or foliage and cone biomass in low density. Generalized allometric equations can be used to estimate the biomass of C. japonica plantations because the slopes of allometric equations were not significantly different by the stand density. The biomass expansion factors (BEFs) were significantly lower in the high stand density (1.33) than in the low stand density (1.50). The results indicate that BEFs were affected by different stand density, while allometric equations were little related to the stand density.
Keywords
biomass equations; stem density; carbon stocks; forest inventory;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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