• Journal of Korean Society of Forest Science
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• v.111 no.2
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• pp.234-241
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• 2022

We performed this study to determine the foliar nutrient concentration and the nutrient stocks of restoration areas and adjacent Pinus densiflora S. et. Z. (red pine) stands in opencast kaolinite mines in Sancheong-gun, Gyeongsangnam-do, southern Korea. We chose six sites to determine foliage nutrient concentrations and the nutrient stocks of soils (0-10 cm depth). The dominant vegetation planted in restoration areas comprised Quercus acutissima Carruth., P. koraiensis S. et. Z., Festuca arundinacea Schreb., and Lespedeza cuneata G. Don. Invading vegetation in the restoration areas comprised Alnus incana (L.) Medik., Robinia pseudoacacia L., and Lespedeza spp., among others. The carbon and nitrogen stocks at 10 cm soil depth were significantly higher in the red pine stands than those in the restoration areas, whereas those of phosphorus, potassium, and magnesium were not significantly different between the two areas. However, calcium stocks were significantly higher in the restoration areas than in the red pine stands. Nitrogen concentration in foliage was higher in L. cuneata (20.28 mg N g^-1) than that in F. arundinacea (5.67 mg N g^-1), whereas potassium concentration was twice as high in F. arundinacea (18.8 mg K g^-1) as that in L. cuneata (9.07 mg K g^-1). Foliar nitrogen concentrations in invasive vegetation such as A. incana, R. pseudoacacia, and Lespedeza spp. were twice or four times higher than those of Q. acutissima and P. koraiensis. Our results indicate the development of suitable vegetation and soil amendment treatments to improve poor soil environmental conditions in restoration areas are necessary following opencast kaolinite mining.

• Journal of Korea Foresty Energy
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• v.25 no.2
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• pp.42-48
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• 2006

This study looked into the change of tree growth of five forest growth monitoring plots which were set up at the Undulyeong Hongchungun Kangwondo, and was accomplished to provide the basic data for the forest management calculating carbon storage and absorption in the Undulyeong area. Annual height and DBH growth were slowly progressed in the Pinus koraiensis, Larix kaempferi, and Pinus densiflora stand which were at young stage, but the growth rates of the other stands were lower than those young stands. The diameter class of the mixed forest and Quercus mongolica and Betala platyphylla stand was predicted to be similar as it is and those of Pinus koraiensis and Larix kaempferi stands were predicted to move to the upper diameter classes because of rapid growth rates of the those stands. As in the year 2005, total carbon storage of the Undulyeong model forest was increased by 155,000 TC(2.7%) compared with the previous year. During 2005, total carbon which was absorbed and stored according to growth of the forest was 166,174 TC and net carbon absorption (155,481 TC) increased by 2,736 TC (1.8%) compared with the previous year. Resultingly, the Undulyeong model forest is acting as a net sink and the net carbon absorption rate is slightly increasing recently.

• Journal of Ecology and Environment
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• v.32 no.1
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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.

• Journal of Environmental Impact Assessment
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• v.23 no.6
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• pp.445-452
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• 2014

The objective of this study was to propose the best methodology for estimating soil organic carbon stocks during environmental assessment for development projects. We compared three methodologies which were developed by Korea Environment Corporation(2010), Korea Forest Research Institute (2006), and Jin-Hyun Jung (1998). We found that the methodology developed by Jin-Hyun Jung (1998) shows the worst performance and the methodology of Korea Forest Research Institute (2006) does not reflect a variety of soil types and land use characteristics shown in development project plans. Therefore, we propose that the methodology developed by Korea Environment Corporation (2010) is the most reasonable one because it is internationally accepted and used for local governments to make the inventory of greenhouse gases as well as to set up its reduction strategy.

• Journal of Ecology and Environment
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• v.39 no.1
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• pp.51-60
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• 2016

This study was conducted to examine litter fall, litter decomposition, and a short-term nutrient (C, N, P, K, Ca, and Mg) status for one year at various levels of basal area (21.4, 27.0, 30.8, 37.0, 42.1, and 46.7 m² ha^-1) in approximately 40-yearold red pine (Pinus densiflora S. et Z.) stands in the Hwangmaesan mountain forest in Korea. Monthly fluxes of litter fall components such as needles, broad leaves, branches, bark and total litter fall followed a similar pattern at various levels of basal area. Mean annual needle, bark and total litter fall fluxes were positively correlated with increased basal area (p<0.05), but the woody litter such as branches and cones was not correlated with basal area. Carbon and K concentrations of needle litter were negatively correlated with increased basal area, while nutrient (C, N, P, K, Ca, and Mg) fluxes were positively correlated with the basal area treatments. Remaining mass, N and P concentration and remaining N and P stocks in decomposing needle litter were not affected by the basal area. However, the concentration and stocks remaining of K, Ca, and Mg from decomposing litter were positively correlated with increased basal area during the initial three months of decomposition. The results indicate that basal area has an impact on nutrient cycles through change in litter fall and litter decomposition processes; thus, the dynamics of nutrient cycles based on a stand scale could differ considerably with different levels of basal area in red pine stands.

• Journal of agriculture & life science
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• v.45 no.4
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• pp.65-72
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• 2011

The objective of this research is to develop biomass allometric equation for Pinus densiflora in central region and Quercus variabilis. To develop the biomass allometric equation by species and tree component, data for Pinus densiflora in central region is collected to 30 plots (70 trees) and for Quercus variabilis is collected to 15 plots (32 trees). This study is used two independent values; (1) one based on diameter beast height, (2) the other, diameter beast height and height. And the equation forms were divided into exponential, logarithmic, and quadratic functions. The validation of biomass allometric equations were fitness index, standard error of estimate, and bias. From these methods, the most appropriate equations in estimating total tree biomass for each species are as follows: $W=aD^b$, $W=aD^bH^c$; fitness index were 0.937, 0.943 for Pinus densiflora in central region stands, and $W=a+bD+cD^2$, $W=aD^bH^c$; fitness index were 0.865, 0.874 for Quercus variabilis stands. in addition, the best performance of biomass allometric equation for Pinus densiflora in central region is $W=aD^b$, and Quercus variabilis is $W=a+bD+cD^2$. The results of this study could be useful to overcome the disadvantage of existing the biomass allometric equation and calculate reliable carbon stocks for Pinus densiflora in central region and Quercus variabilis in Korea.

• Korean Journal of Environmental Biology
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• v.30 no.2
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• pp.121-127
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• 2012

Cool-temperate broad-leaved deciduous forests are one of dominant forest cover types in Asia monsoon climate regions. However, our understanding of how much storages carbon in these ecosystems is limited. We studied carbon storage in three cool-temperate broad-leaved deciduous forests at Jirisan National Park, Korea. The biomass of trees in the three stands on an average was $112tC\;ha^{-1}$ and ranged from 107 to $119tC\;ha^{-1}$. The total amount of soil organic matter at a depth of 30 cm in the three stands on an average was $66tC\;ha^{-1}$. In addition, the total carbon stocks of biomass and soil was approximately $178tC\;ha^{-1}$, ranged from 167 to $184tC\;ha^{-1}$. Above values among three stands did not show the valuable difference at Jirisan National Park. The amounts of carbon storage in three ecosystems at Jirisan National Park, were higher than those of other studies significantly, except Seoraksan National Park.

• Journal of the Korea Society of Computer and Information
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• v.18 no.12
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• pp.197-205
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• 2013

In this study, we developed a program of optimizing stand-level carbon stock using a stand-level yield model and the Simulated Annealing (SA) heuristic method to derive a optimized forest treatment solution. The SA is one of the heuristic algorithms that can provide a desirable management solution when dealing with various management purposes. The SA heuristic algorithm applied 'thermal equilibrium test', a thresholds approach to solve the phenomenon that does not find an optimum solution and stays at a local optimum value during the process. We conducted a sensitivity test for the temperature reduction rate, the major parameter of the thermal equilibrium test, to analyze its influence on the objective function value and the total iteration of the optimization process. Using the developed program, three scenarios were compared: a common treatment in forestry (baseline), the optimized solution of maximizing the amount of harvest(alternative 1), and the optimized solution of maximizing the amount of carbon stocks(alternative 2). As the results, we found that the alternative 1 showed provide acceptable solutions for the objectives. From the sensitivity test, we found that the objective function value and the total iteration of the process can be significantly influenced by the temperature reduction rate. The developed program will be practically used for optimizing stand-level carbon stock and developing optimized treatment solutions.

• Journal of Korean Society of Forest Science
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• v.100 no.3
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• pp.392-396
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• 2011

The purpose of this study was to develop the basic wood density (Abbreviated BWD) for Pinus densiflora and to evaluate the applicability of bootstrap simulation method. The data sets were divided into two groups based on eco-types in Korea, one from Gangwon type and the other from Jungbu type. The estimated BWDs derived from bootstrap simulation, which is one of the non-parametric statistics, were 0.418 ($g/cm^3$) in the Pinus densiflora in Gangwon while 0.464 ($g/cm^3$) in the Pinus densiflora in Jungbu. To evaluate the bootstrap simulation, the mean BWD, standard error and 95% confidence interval of probability density were estimated. The number of replication were 100, 500, 1,000, and 5,000 times that showed constant 95% confidence interval, while tended to decrease in terms of standard errors. The results of this study could be very useful to apply basic wood density values to calculate reliable carbon stocks for Pinus densiflora in Korea.

• Journal of Korean Society of Forest Science
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• v.104 no.3
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• pp.421-426
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• 2015

The objective of this paper is to look into the growth of Cryptomeria japonica stand in South Korea along with the evaluation on their yields, followed by their carbon stocks and removals. A total of 106 sample plots were selected from Jeonnam, Gyeongnam, and Jeju, where the groups of standard are grown. We only used 92 plots data except outlier. As part of the analysis, the Weibull diameter distribution was applied. In order to estimate the diameter distribution, the growth estimation equation for each of the growth factors including the height, the diameter at breast height, and the basal area was drafted out and the verification for each equation was examined. The site index for figuring out the forest productivity of Cryptomeria japonica stand for each district was also developed as a Schumacher model and 30yr was used as a reference age for the estimation of the site index. It was found that the site index for Cryptomeria japonica stand in South Korea ranges from 10 to 16 and this result was used as a standard for developing the stand yield table. According to the site 14 in the stand yield table, the mean annual increment (MAI) of the Cryptomeria japonica reaches $7.6m^3/ha$ on its 25yr and its growing stock is estimated to be at $190.1m^3/ha$. This volume is about $20m^3$ as high as that of the Chamaesyparis obtusa. Furthermore, the annual carbon absorptions for a Cryptomeria japonica stand reached the peak at 25yr, which is 2.14 tC/ha/yr, $7.83tCO_2/ha/yr$. When compared to the other conifers, this rate is slightly higher than that of a Chamaecyparis obtusa ($7.5tCO_2/ha/yr$) but lower than that of the Pinus koraiensis ($10.4tCO_2/ha/yr$) and Larix kaempferi ($11.2tCO_2/ha/yr$). With such research result as a base, it is necessary to come up with the ways to enhance the utilization of Cryptomeria japonica as timbers, besides making use of their growth data.