• 한국기후변화학회지
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• 제8권4호
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• pp.385-391
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• 2017

This study was conducted to estimate litter carbon stock change from the National Forest Inventory (NFI) data for national greenhouse gas inventory report. Litter carbon stocks were calculated from the NFI dataset in NFI5 (2008) and NFI6 (2013) in Gangwon province. Total carbon stock change of litter was $0.68{\pm}0.71\;t\;C/ha$ from NFI5 (2008) to NFI6 (2013), however, there was no significant difference between the both dataset at 2008 and 2013 year. Litter carbon stock of coniferous stands was higher than deciduous stands in NFI5 (2008) and NFI6 (2013) (P<0.05). This study was limited to pilot study, so we will assess litter carbon stock using more complete data from NFI systems. It can be used as data sources for national greenhouse gas inventory report on forest sector.

• Journal of Forest and Environmental Science
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• 제32권2호
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• pp.120-128
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• 2016

Forest sequesters large terrestrial carbon which is stored in the biomass of tree and plays a key role in reducing atmospheric carbon. Thus, the objectives of the present study were to assess the growing stock, above ground biomass and carbon in trees of Ponda watershed of Rajouri district (J&K). IRS-P6 LISS-III satellite data of October 2010 was used for preparation of land use/land cover map and forest density map of the study area by visual interpretation. The growing stock estimation was done for the study area as well as for the sample plots laid in forest and agriculture fields. The growing stock and biomass of trees were estimated using species specific volume equations and using specific gravity of wood, respectively. The total growing stock in the study area was estimated to be $0.25million\;m^3$ which varied between $85.94m^3/ha$ in open pine to $11.58m^3/ha$ in degraded pine forest. However in agriculture area, growing stock volume density of $14.85m^3/ha$ was recorded. Similarly, out of the total biomass (0.012 million tons) and carbon (0.056 million tons) in the study area, open pine forest accounted for the highest values of 43.74 t/ha and 19.68 t/ha and lowest values of 5.68 t/ha and 2.55 t/ha, respectively for the degraded pine forest. The biomass and carbon density in agriculture area obtained was 5.49 t/ha and 2.47 t/ha, respectively. In all the three forest classes Pinus roxburghii showed highest average values of growing stock volume density, biomass and carbon.

• 한국환경과학회지
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• 제32권3호
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• pp.181-189
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• 2023

In this study, sediment cores from unvegetated tidal flats in the Hampyeong Bay (west coastal wetland) and Dongdae Bay (south coastal wetland) were sampled, the blue carbon stock in the sediments was calculated, and the characteristics of the blue carbon stock were analyzed based on particle size of the sediments. The sediments in the Hampyeong Bay tidal flat had large particle size and low mud content, and the Dongdae bay tidal flat had small particle size and high mud content. The organic carbon content and blue carbon stock in the sediments were higher in the Dongdae tidal flat than in the Hampyeong Bay tidal flat. As a result of the regression function, in both the Hampyeong Bay and Dongdae Bay tidal flats, the sediments had the smaller particle size and higher mud contents the higher the organic carbon content and blue carbon stock. The sediments with smaller particle size had the larger specific surface area, so were feasible to adsorb and store more organic matters.

• Journal of Forest and Environmental Science
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• 제37권3호
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• pp.193-205
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• 2021

The importance of forests and trees in climate change mitigation and soil nutrient cycling cannot be overemphasized. This study assessed the above-ground carbon stock of two exotic and two indigenous tree species - Gmelina arborea, Tectona grandis, Khaya grandifoliola and Nauclea diderrichii and their litter impact on soil nutrient content of an arboretum within the University of Port Harcourt, Nigeria. Data were collected from equal sample plots from the four species' compartments. Tree growth variables including total height, diameter at breast height, crown height, crown diameter and merchantable height were measured for the estimation of above-ground carbon stock. Soil samples were collected from a depth of 0-30 cm from each compartment and analyzed for particle size distribution, organic carbon, total nitrogen, available phosphorus, exchangeable bases, exchangeable acidity, cation exchange capacity, base saturation, pH, Manganese, Iron, Copper and Zinc. Analysis of Variance (ANOVA) was used to test for significant difference (p<0.05) in the carbon contents of the four species and the soil nutrient contents of the different species' compartments. Pearson correlation was used to assess the relationships between the carbon contents, growth parameters and soil parameters. The highest and lowest carbon stock per hectare was observed for G. arborea (151.52 t.ha^-1) and K. grandifoliola (45.45 t.ha^-1) respectively. Cation exchange capacity and base saturation were highest and lowest for soil under G. arborea and K. grandifoliola respectively. The pH was highest and lowest for soil under G. arborea and T. grandis respectively. Carbon stock correlated positively with dbh, crown diameter, merchantable height and Zn and negatively with base saturation. The study revealed that G. arborea and N. diderrichii can effectively be used for reforestation and afforestation programmes aimed at climate change mitigation across Nigeria. Therefore, policies to encourage and enhance their planting should be encouraged.

• 환경영향평가
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• 제20권2호
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• pp.235-248
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• 2011

In this study, we investigated the effect of carbon sequestration and sink on the environmental impact assessment of a Bogeumjari Housing Project. Through the case study, we found that, if the project is implemented, the amount of carbon stock tends to decrease greatly while as the amount of the carbon emission tends to greatly increase. Furthermore, we found that the future land use should be planned in detail in order to maintain the soil carbon stock prior to development. Also, enlargement of undeveloped forest land area would be more efficient than that of newly planted area in terms of carbon sequestration.

• Journal of Ecology and Environment
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• 제32권1호
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• pp.47-53
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• 2009

The soil carbon stock for a Pinus densiflora forest at Gwangneung, central Korea was estimated using the soil carbon model, Yasso. The soil carbon stock measured in the forest was 43.73 t C $ha^{-1}$, and the simulated initial (steady state) soil carbon stock and the simulated current soil carbon stock in 2007 were 39.19 t C $ha^{-1}$ and 38.90 t C $ha^{-1}$, respectively. Under the assumption of a $0.1^{\circ}C$ increase in mean annual temperature per year, the decomposition and litter fractionation rates increased from 0.28 to 0.56 % $year^{-1}$ and the soil carbon stock decreased from 0.03 to 0.12 % $year^{-1}$. Yasso is a simple and general model that can be applied in cases where there is insufficient input information. However, in order to obtain more accurate estimates in Korea, parameters need to be recalibrated under Korean climatic and vegetation conditions. In addition, the Yasso model needs to be linked to other models to generate better litter input data.

• 대한원격탐사학회지
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• 제30권5호
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• pp.651-664
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• 2014

최근 주기적이고 정확한 산림바이오매스 탄소저장량 추정에 대한 필요성이 한국에서도 점차 증가하고 있다. 본 연구에서는 k-Nearest Neighbor (kNN) 및 Regression Tree Analysis (RTA) 알고리즘을 대상으로 공주 및 세종시를 대상으로 한 탄소량 변화 탐지를 통해 그 효용성을 비교 분석 하고자 하였다. 현장 자료로는 제 3차 및 제 5, 6차 국가산림자원조사 자료를 이용하였으며, 위성영상자료는 1992년, 2010년에 취득된 Landsat TM과 2009년에 취득된 Aster 영상을 이용하였다. 또한, 추정정확도를 향상시키기 위해 각 영상으로부터 다양한 식생지수를 생성하였다. 두 방법론의 비교를 위해 RMSE 및 평균편의(mean bias)를 포함한 각종 탄소통계량을 계산하였으며, 대상지역에 대한 탄소분포지도를 생성하고 비교를 수행하였다. 그 결과, kNN 알고리즘은 영상에 상관없이 보다 안정적인 추정결과를 나타낸 반면, 스무딩 효과로 인해 탄소의 공간분포가 뚜렷하지 않은 단점이 발견되었다. RTA의 경우 평균편의 결과 및 탄소의 공간분포가 명확히 나타나는 장점이 있으나, 위성영상에 따라 탄소추정량에서 큰 차이를 나타내었다. 최종적으로 2009년 및 2010년 탄소지도에서 1992년 탄소지도를 차분한 탄소차분지도를 생성을 통해 공주시 및 세종시 지역의 산림 탄소저장량이 급격히 증가했음을 확인하였다.

• 대기
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• 제33권1호
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• pp.61-72
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• 2023

Accurate estimation of forest carbon stocks is important in establishing greenhouse gas reduction plans. In this study, we estimate the spatial distribution of forest carbon stocks using machine learning techniques based on high-resolution remote sensing data and detailed field survey data. The high-resolution remote sensing data used in this study are Landsat indices (EVI, NDVI, NDII) for monitoring vegetation vitality and Shuttle Radar Topography Mission (SRTM) data for describing topography. We also used the forest growing stock data from the National Forest Inventory (NFI) for estimating forest biomass. Based on these data, we built a model based on machine learning methods and optimized for Korean forest types to calculate the forest carbon stocks per grid unit. With the newly developed estimation model, we created forest carbon stocks maps and estimated the forest carbon stocks in South Korea. As a result, forest carbon stock in South Korea was estimated to be 432,214,520 tC in 2020. Furthermore, we estimated the loss of forest carbon stocks due to the Donghae-Uljin forest fire in 2022 using the forest carbon stock map in this study. The surrounding forest destroyed around the fire area was estimated to be about 24,835 ha and the loss of forest carbon stocks was estimated to be 1,396,457 tC. Our model serves as a tool to estimate spatially distributed local forest carbon stocks and facilitates accounting of real-time changes in the carbon balance as well as managing the LULUCF part of greenhouse gas inventories.

• 대한공간정보학회지
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• 제18권4호
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• pp.119-129
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• 2010

원격탐사 자료와 현장 자료를 이용한 산림 바이오매스 탄소량 추정은 전 세계적으로 각광을 받고 있으며, 국내의 경우 2010년 국립산림과학원에서 개발한 수종별 탄소배출계수를 통해 보다 정확한 탄소량 추정이 가능하게 되었다. 본 연구에서는 2006년부터 2009년까지 구축된 제5차 국가산림자원조사(National Forest Inventory, NFI) 자료를 기반으로 k-Nearest Neighbor(kNN) 알고리즘을 이용하여 충청북도 단양군의 지상부 바이오매스 탄소량을 추정하였다. 원격탐사 자료로는 계절 변화가 뚜렷한 한반도의 기후가 산림 지역의 분광 특성 및 이에 따른 탄소량 추정에 미치는 영향을 조사하기 위해 2004년부터 2005년까지 계절별로 취득된 Landsat TM 위성영상을 이용하였다. 분석결과 단양군 지역의 지상부 바이오매스 총 탄소량은 최대 3542768.49tonC에서 최소 3329037.51tonC 사이로 추정되었으나, 계절에 따른 특정 경향은 발견되지 않았다.

• 한국기후변화학회지
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• 제7권4호
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• pp.499-506
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• 2016

This study was conducted to estimate carbon stock and uptake for Larix kaempferi Lamb., the single species, which is the most widely distributed one following Pinus densiflora, using data from 6th national forest inventory and forest type map of 1:5,000. Overall distribution area of Larix kaempferi in South Korea was shown as 272,800ha, in detail, Gangwon-do was the most widely distributed region with 39.6% (108,141 ha) of the whole forest area, and Gyeongsangbuk-do was 18.6%(50,839 ha), Chungcheongbuk-do was 15.1%(41,205ha) in order. As the results of analysis in carbon stock and uptake for each province, the values were high with Gyeonggi-do 109.0 tC/ha, $10.3tCO_2/ha/yr$, Gangwon-do 349.1 tC/ha, $9.7tCO_2/ha/yr$ in order, and Jeollabuk-do was the lowest with 78.3 tC/ha, $7.6tCO_2/ha/yr$. Also, the results of estimation in total carbon stocks and uptakes by year (1989~2015) were turned out that total carbon stocks and uptakes were 24,891 thousand tC, $2,428thousand\;tCO_2$ in 2015, increasing about 4.8 times and 3.8 times each compared with 5,238 thousand C/ha, $640thousand\;CO_2$ in 1989. Although forest area was decreased 26.6% with 371,884 ha in 1989 to 272,800 ha in 2015, carbon stocks and uptakes were increased in 2015 in that forest stock was increased 126% compared to 1989.