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您的检索式：作者名="SON Yeong Mo"
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| 1 | 韩国赤松林龄序列的生物量及碳氮储量显示文摘调查了韩国6种不同林龄(10,27,30,32,44和71年生)赤松林(Pinus densiflora)的生物量、碳含量和氮含量.采用收割法采集30株个体作为样本,其中有12株挖掘了全部的根系,采集植物体地上、地下部分、凋落物(CWD)、地被物及矿质土壤样品(0-30cm)进行分析.结果显示,树木生物量最大的是林龄71年生的样地(202.8t/ha),最小的是林龄10年生的样地(18.4t/ha);林龄71年生样地的矿质土壤碳、氮储量均高于其他样地,这可能与该样地较高的土壤碳、氮密度有关.生态系统总碳、氮储量从林龄10年生的样地(18.8tC/ha和1.3tN/ha)到林龄71年生的样地(201.4tC/ha和8.5tN/ha)逐渐增高.生态系统总碳储量和树木碳储量都呈现出随着林龄S型增长的趋势,而凋落物、地被物和矿质土壤的氮含量则未显示出随林龄变化而显著变化的趋势.本结果对了解赤松林碳、氮储量的现状及预测未来的生长变化提供有效依据. | NOH Nam Jin SON Yowhan LEE Sue Kyoung SEO Kyung Won HEO Su Jin YI Myong-Jong PARK Pil Sun KIM Rae Hyun SON Yeong Mo LEE Kyeong Hak | 2010 | 中国科学:生命科学2010，40，7： | 1 |
| 2 | Particle dispersion in viscous three-phase inverse fluidized beds显示文摘 | Lee K ll Son S Mo Kim U Yeong | 2007 | Chemical Engineering Science2007，62，24： | 1 |
| 3 | Bubble properties in three-phase inverse fluidized beds with viscous liquid medium显示文摘 | Son Sung Mo Kang Suk Hwan Kim Uk Yeong etal | 2007 | Chem Eng and Proc2007，46，8： | 1 |
| 4 | Bayesian meta-analysis of regional biomass factors for Quercus mongolica forests in South Korea显示文摘Indirect approaches to estimation of biomass factors are often applied to measure carbon flux in the forestry sector. An assumption underlying a country-level carbon stock estimate is the representativeness of these factors. Although intensive studies have been conducted to quantify biomass factors, each study typically covers a limited geographic area. The goal of this study was to employ a meta-analysis approach to develop regional biomass factors for Quercus mongolica forests in South Korea.The biomass factors of interest were biomass conversion and expansion factor(BCEF), biomass expansion factor(BEF) and root-to-shoot ratio(RSR). Our objectives were to select probability density functions(PDFs) that best fitted the three biomass factors and to quantify their means and uncertainties. A total of 12 scientific publications were selected as data sources based on a set of criteria. From these publications we chose 52 study sites spread out across South Korea. The statistical model for the metaanalysis was a multilevel model with publication(data source) as the nesting factor specified under the Bayesian framework. Gamma, Log-normal and Weibull PDFs were evaluated. The Log-normal PDF yielded the best quantitative and qualitative fit for the three biomass factors.However, a poor fit of the PDF to the long right tail of observed BEF and RSR distributions was apparent. The median posterior estimates for means and 95 % credible intervals for BCEF, BEF and RSR across all 12 publications were 1.016(0.800–1.299), 1.414(1.304–1.560) and 0.260(0.200–0.335), respectively. The Log-normal PDF proved useful for estimating carbon stock of Q. mongolica forests on a regional scale and for uncertainty analysis based on Monte Carlo simulation. | Tzeng Yih Lam Xiaodong Li Rae Hyun Kim Kyeong Hak Lee Yeong Mo Son | 2015 | Journal of Forestry Research2015，26，4： | 0 |
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