• Title, Summary, Keyword: Forest biomass

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Biomass Expansion Factors for Pinus koraiensis Forests in Korea

  • Li, Xiaodong;Yi, Myong-Jong;Jeong, Mi-Jeong;Son, Yo-Whan;Park, Pil-Sun;Lee, Kyeong-Hak;Son, Yeong-Mo;Kim, Rae-Hyun
    • Journal of Korean Society of Forest Science
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    • v.99 no.5
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    • pp.693-697
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    • 2010
  • Biomass expansion factors that convert the timber volume (or dry weight) to biomass are used to estimate the forest biomass and account for the carbon budget on a national and regional scale. This study estimated the biomass conversion and expansion factors (BCEF), root to shoot ratio (R), biomass expansion factors (BEF) and ecosystem biomass expansion factor (EBEF) of Korean pine (Pinus koraiensis) forests based on direct field surveys and publications in Korea. The mean BCEF, BEF, and R was 0.6438 Mg $m^{-3}$ (n = 7, SD = 0.1286), 1.6380 (n = 27, SD = 0.1830), and 0.2653 (n = 14, SD = 0.0698), respectively. The mean EBEF, which is a simple method for estimating the understory biomass in Korean pine forest ecosystems, was 1.0218 (n = 6, SD = 0.0090). The values of the biomass expansion factors in this study estimated the Korean pine forest biomass with more precision than the default values given by the IPCC (2003, 2006).

The Three-year Effect of Thinning Intensity on Biomass in Larix kaempferi and Pinus koraiensis Plantation

  • Chhorn, Vireak;Seo, Yeongwan;Lee, Daesung;Choi, Jungkee
    • Journal of Forest and Environmental Science
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    • v.36 no.1
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    • pp.17-24
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    • 2020
  • This study aimed to figure out and compare the increment of biomass by thinning intensity focused on the plantation of the two major coniferous species (Larix kaempferi and Pinus koraiensis) of South Korea. The inventory interval was three years under the effects of three types of thinning treatments; control (no thinning), light (20% thinning) and heavy (40% thinning). The results showed standing biomass increment of both species decreased as thinning intensity increased (heavylight>control). Meanwhile, the lowest of on-site biomass changes occurred in the control plot, and the greatest was in the heavy thinning plot because thinning was involved with leaving the felling residual biomass (leaves, branches and roots) on the site. According to the results from this short-term study, unthinned stands is preferable for maximizing standing biomass as well as carbon sequestration. However long-term investigation should be considered in order to see more clear results.

Estimation of Carbon Storage Using Mean Biomass Density in Korean Forests

  • Li, Xiaodong;Yi, Myong-Jong;Jeong, Mi-Jeong;Son, Yo-Whan;Jin, Guangze;Han, Sang-Sub
    • Journal of Korean Society of Forest Science
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    • v.99 no.5
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    • pp.673-681
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    • 2010
  • This study examined the biomass data estimated from different allometric models and calculated the mean aboveground biomass, mean belowground biomass and root/shoot ratio values according to the forest types and age classes. These mean values and the forest inventories in 2009 were used to estimate the aboveground and total biomass carbon storage in different forest types (coniferous, deciduous and mixed forests). The aboveground and total biomass carbon storage for all forest types in Korea were 350.201 Tg C and 436.724 Tg C. Over the past 36 years, plantations by reforestation programs have accounted for more than 70% of the observed carbon storage. The carbon storage in Korean forest biomass was 436.724 Tg C, of which 175.154 Tg C for coniferous forests, 126.772 Tg C for deciduous forests and 134.518 Tg C for mixed forests, comprising approximately 1/20 of the total carbon storage of the East Asian countries. The total carbon storage for the whole forest sector in Korea was 1213.122 Tg C, of which 436.724 Tg C is stored in forest biomass if using the ratio of carbon storage in different pools examined from the United States. Such large carbon storage in Korean forests is due mainly to active plantations growth and management practices.

Methodology for Regional Forest Biomass Estimation Using MODIS Data

  • Yu, Xinfang;Zhuang, Dafang
    • Proceedings of the KSRS Conference
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    • pp.325-327
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    • 2003
  • Forest biomass is the basis of forest ecosystem. With the rapid development of remote sensing and computer technology, forest biomass estimation using remote sensing data is paid great attention and has acquired great achievements. This article focuses on discussion of methods of forest biomass estimation methods using Terra/MODIS data in Northeast China. The research include: combining the MODIS time series parameters with seasonal characteristics of forest species to identify major forest species; establishing a model to estimate forest biomass based on forest species; analyzing the effects of the existent forest biomass and increasing biomass on terrestrial carbon cycle. This research can help to make clear the mechanism of carbon cycle.

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Estimation of Forest Biomass for Muju County using Biomass Conversion Table and Remote Sensing Data (산림 바이오매스 변환표와 위성영상을 이용한 무주군의 산림 바이오매스추정)

  • Chung, Sang Young;Yim, Jong Su;Cho, Hyun Kook;Jeong, Jin Hyun;Kim, Sung Ho;Shin, Man Yong
    • Journal of Korean Society of Forest Science
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    • v.98 no.4
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    • pp.409-416
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    • 2009
  • Forest biomass estimation is essential for greenhouse gas inventories and terrestrial carbon accounting. Remote sensing allows for estimating forest biomass over a large area. This study was conducted to estimate forest biomass and to produce a forest biomass map for Muju county using forest biomass conversion table developed by field plot data from the 5th National Forest Inventory and Landsat TM-5. Correlation analysis was carried out to select suitable independent variables for developing regression models. It was resulted that the height class, crown closure density, and age class were highly correlated with forest biomass. Six regression models were used with the combination of these three stand variables and verified by validation statistics such as root mean square error (RMSE) and mean bias. It was found that a regression model with crown closure density and height class (Model V) was better than others for estimating forest biomass. A biomass conversion table by model V was produced and then used for estimating forest biomass in the study site. The total forest biomass of the Muju county was estimated about 8.8 million ton, or 128.3 ton/ha by the conversion table.

Analyses and trends of forest biomass in higher Northern Latitudes

  • Tsolmon, R.;Tateishi, R.;Sambuu, B.;Tsogtbayar, Sh.
    • Proceedings of the KSRS Conference
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    • pp.965-967
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    • 2003
  • Information on forest volume, forest coverage and biomass are important for developing global perspectives about CO$_{2}$ concentration changes. Forest biomass cannot be directly measured from space yet, but remotely sensed greenness can be used to estimate biomass on decadal and longer time scales in regions of distinct seasonality, as in the north. Hence, in this research, numerical methods were used to estimate forest biomass in higher northern regions. A regression model linking Normalized Difference Vegetation Index(NDVI), to forest biomass extracted from SPOT/4 VEGETATION data and PAL 8km data in regional and continental area (N40-N70) respectively. Statistical tests indicated that the regression model can be used to represent the changes of forest biomass carbon pools and sinks at high latitude regions over years 1982-2000. This study suggests that the implementation of estimation of biomass based on 8-km resolution NOAA/AVHRR PAL and SPOT-4/VEGETATION data could be detected over a range of land cover change processes of interest for global biomass change studies.

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Energy potential and feasibility of utilization for domestic forest biomass as an alternative resource (대체에너지원으로서 국내 산림바이오매스 자원의 잠재력과 이용가능성)

  • Cha, Du Song;Oh, Jae Heun;Woo, Jong Chun
    • Journal of Forest and Environmental Science
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    • v.20 no.1
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    • pp.110-130
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    • 2004
  • This study aims to study the definition and characteristics of forest biomass as an alternative energy and to estimate the energy potential and feasibility of forest biomass utilization in domestic. Especially, significant attention is given to woody biomass such as forest residue, thinning log, etc. due to their renewable, sustainable and abundant properties. The results were summarized as follows. The utilization of these forest biomass could play an important role to activate the forest industry and increase the public benefit functions of forest, but more attention on their utilization is required and how they can be utilize more efficiently is the new task assigned to our forestry for sustainable forest management.

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Estimation of Forest Biomass Arising from Forest Management Operation I - Estimation Based on Simulations - (숲가꾸기 사업에서의 산림 바이오매스 발생량 추정(제1보) - 시뮬레이션에 의한 발생량 전망 -)

  • Ahn, Byeong-Il;Lee, Kyun-Shik;Kim, Chul-Hwan;Lee, Ji-Young
    • Journal of Korea Technical Association of The Pulp and Paper Industry
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    • v.41 no.4
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    • pp.15-24
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    • 2009
  • This paper estimates the nation wide amount of forest biomass arising from management operation for domestic forest based on the simulations that are composed of five scenarios for selecting the target area of thinning. In 2009, the forest biomass arising from thinning is estimated to be 6,642,174 $m^3$. The estimates of forest biomass in 2015 and 2018 are 5,935,140 $m^3$ and 5,682,538 $m^3$, respectively. Since the target forest for thinning policy is estimated to be decreasing, the biomass generated by thinning will decline too. The estimates of forest biomass can be used to induce more effective application of woody biomass rather than one-sided use such as raw materials for solid fuels including pellets and charcoals.

Estimation of Forest Biomass Arising from Forest Management Operation II - Estimation based on the projection of forest areas - (숲가꾸기 사업에서의 산림 바이오매스 발생량 추정(제2보) - 산림면적 전망에 의한 추정 -)

  • Ahn, Byeong-Il;Lee, Kyun-Shik;Kim, Chul-Hwan;Lee, Ji-Young
    • Journal of Korea Technical Association of The Pulp and Paper Industry
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    • v.41 no.4
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    • pp.25-32
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    • 2009
  • Forest biomass can be used as various types of raw materials such as pulp, wood pellets, solid charcoals and so on. This paper estimates the nation wide amount of forest biomass based on the projection of forest areas for its effective and economic use. Several trend equations are used in projecting the forest areas. In 2009, the forest biomass arising from thinning is estimated be 6,591,575 $m^3$. The estimates of forest biomass in 2015 and 2018 are 6,375,627 $m^3$ and 6,284,779 $m^3$, respectively. Since the forest areas are projected to be declining, the biomass generated by thinning will decrease. This implies that the new alternatives for supplying raw materials for biofuels must be prepared before then.

Biomass, Primary Nutrient and Carbon Stock in a Sub-Himalayan Forest of West Bengal, India

  • Shukla, Gopal;Chakravarty, Sumit
    • Journal of Forest and Environmental Science
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    • v.34 no.1
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    • pp.12-23
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    • 2018
  • Quantitative information on biomass and available nutrients are essential for developing sustainable forest management strategies to regulate atmospheric carbon. An attempt was made at Chilapatta Reserve Forest in Duars region of West Bengal to quantify its above and below ground carbon along with available "N", "P" and "K" in the soil. Stratified random nested quadrats were marked for soil, biomass and litter sampling. Indirect or non-destructive procedures were employed for biomass estimation. The amount of these available nutrients and organic carbon quantified in soil indicates that the forest soil is high in organic carbon and available "K" and medium in phosphorus and nitrogen. The biomass, soil carbon and total carbon (soil C+C in plant biomass) in the forest was 1,995.98, 75.83 and $973.65Mg\;ha^{-1}$. More than 90% of the carbon accumulated in the forest was contributed by the trees. The annual litter production of the forest was $5.37Mg\;ha^{-1}$. Carbon accumulation is intricately linked with site quality factors. The estimated biomass of $1,995.98Mg{\cdot}ha^{-1}$ clearly indicates this. The site quality factor i.e. tropical moist deciduous with optimum availability of soil nutrients, heavy precipitation, high mean monthly relative humidity and optimum temperature range supported luxuriant growth which was realized as higher biomass accumulation and hence higher carbon accumulated.