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Biomass Expansion Factors for Pinus densiflora in Relation to Ecotype and Stand Age  

Park, In Hyeop (Department of Forest Resources, Sunchon National University)
Park, Min Su (Department of Forest Resources, Sunchon National University)
Lee, Kyeong Hak (Korea Forest Research Institute)
Son, Yeong Mo (Korea Forest Research Institute)
Seo, Jeong Ho (Korea Forest Research Institute)
Son, Yowhan (Division Environmental Science and Ecological Engineering, Korea University)
Lee, Young Jin (Department Forest Resources, Kongju National University)
Publication Information
Journal of Korean Society of Forest Science / v.94, no.6, 2005 , pp. 441-445 More about this Journal
Abstract
Researches on estimating national-scaled forest biomass are being carried out to quantify the carbon stock of forests with the Kyoto Protocol. In general, estimates of national-scaled forest biomass are based on forest inventory data which provides estimates of forest area, stem volume, and growth of stem by age classes. Estimates of forest biomass are, however, obtained by converting stem volumes to dry weight with stem density and thereafter to whole tree biomass with biomass expansion factors (ratios of whole tree dry weight to stem dry weight). Pinus densiflora is widely distributed and one of the most economically important timber species in Korea. The species are largely grouped into two ecotypes of Geumgang and Jungbu. Stems of Geumgang type trees are straight and high compared to those of Jungbu type trees. The objective of this study was to determine and compare stem density and biomass expansion factors fore two ecotypes of Pinus densiflora according to stand age. Stem density of both ecotypes of Pinus densora increased and biomass expansion factors of them decreased with increasing tree age. In he same age class, stem density and biomass expansion factor of Geungang type Pinus densiflora were lower than those of Jungbu type Pinus densiflora. There were statistically significant differences in stem density and biomass expansion factors between Geumgang type and Jungbu type Pinus densiflora in 0-20-year-old stands and 40-60-year-old stands. Our results suggested that the reliability of the national forest biomass inventory could be improved by applying the ecotype- and age-dependent stem density and biomass expansion factors.
Keywords
dry weight distribution; root/shoot ratio; stem density;
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