• Journal of Climate Change Research
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• v.4 no.2
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• pp.177-188
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• 2013

In this research, forest cover distribution change, forest volume and carbon stock in Yongin-city, Gyeonggi procince were estimated focused on the forest of Yongin-City using forest type map and HyTAG model in relation to climate change. Present forest volume of Yongin-city was estimated using the data from $5^{th}$ Forest Type Map and Korean National Forest Inventory (NFI). And for the future 100 years potential forest distribution by 10-year interval were estimated using HyTAG model. Forest volume was also calculated using algebraic differences form of the growth model. According to the $5^{th}$ Forest Type Map, present needleleaf forest occupied 37.8% and broadleaf forest 62.2% of forest area. And the forest cover distribution after 30 years would be changed to 0.13% of needleleaf forest and 99.97% of broadleaf forest. Finally, 60 years later, whole forest of Yongin-city would be covered by broad-leaf forest. Also the current forest carbon stocks was measured 1,773,862 tC(56.79 tC/ha) and future carbon stocks after 50 years was predicted to 4,432,351 tC(141.90 tC/ha) by HyTAG model. The carbon stocks after 100 years later was 6,884,063 tC (220.40 tC/ha). According to the HyTAG model prediction, Pinus koraiensis, Larix kaempferi, Pinus rigida, and Pinus densiflora are not suitable to the future climate of 10-year, 30-year, 30-year, and 50-year later respectively. All Quercus spp. was predicted to be suitable to the future climate.

• Journal of Environmental Impact Assessment
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• v.21 no.1
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• pp.105-117
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• 2012

Future climate according to land-use change was simulated by regional climate model. The goal of study was to predict the distribution of meteorological elements using the Weather Research & Forecasting Model (WRF). The KME (Korea Ministry of Environment) medium-category land-use classification was used as dominant vegetation types. Meteorological modeling requires higher and more sophisticated land-use and initialization data. The WRF model simulations with HyTAG land-use indicated certain change in potential vegetation distribution in the future (2086-2088). Compared to the past (1986-1988) distribution, coniferous forest area was decreased in metropolitan and areas with complex terrain. The research shows a possibility to simulate regional climate with high resolution. As a result, the future climate was predicted to $4.5^{\circ}$ which was $0.5^{\circ}$ higher than prediction by Meteorological Administration. To improve future prediction of regional area, regional climate model with HyTAG as well as high resolution initial values such as urban growth and CO2 flux simulation would be desirable.

• Korean Journal of Microbiology
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• v.33 no.1
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• pp.1-6
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• 1997

5-Enolpyruvylshikimate 3-phosphate(EPSP) synthase is the sixth enzyme of the shikimate pathway that synthesizes aromatic amino acids. The enzyme is a primary target for the glyphos'lte which is a broad-spectrum and environmetally safe herbicide. As a first step toward development of glyphpsate-resistant EPSP synthase, the EPSP synthase gene(aroA) was amplified by polymerase chain reaction and cluned into pET-25b vector. In this construct. designated pET-aro, the aroA gene is expressed under control of strong T7 promoter. and the EPSP synthase is produced as a fusion protein with pelB leader at N-terminus and HSV-tag and His-tag at C-terminus. When the pET-aro clone was induced to produce the enzyme, it was found that the EPSP synthase was successfully exported to peri plasmic space. The periplasmic transport was greatly dependent on the induction temperatures. Among the induction temperatures examined($25^{\circ}C$, $30^{\circ}C$, $34^{\circ}C$ and $37^{\circ}C$). induction at $34^{\circ}C$ gave rise to maximal periplasmic transport. The recomhinant EPSP synthase could have been purified hy $Ni^{2+}$ -affinity chromatography using the His-tag. and detected hy anti-HSV -tag antibody. The recombinant EPSP synthase also hound to phosphocellulose resin and was eluted hy shikimate 3-phosphate and phosphoenolpyruvate. as expected. The recombinant EPSP synthase purified from phosphocellulose resin showed typical EPSP synthase activity.

• Korean Journal of Remote Sensing
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• v.28 no.1
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• pp.159-169
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• 2012

The purpose of this study was to assess the vulnerability of forest ecosystem to climate change in South Korea using socio-environmental indicators and the results of two vegetation models named as Hydrological and Thermal Analogy Group(HyTAG), and MAPSS-Century 1(MC1). The changing frequency and direction of biome types estimated by HyTAG model was used for quantifying sensitivity and adaptive capacity of forest distribution. Similarly, the variation and changing tendency of net primary production and soil carbon storage estimated by MC1 model was used for quantifying sensitivity and adaptive capacity of forest function. As socio-environmental indicators, many statistical data such as financial autonomy rate and the number of forestry officer was prepared. All indicators were standardized, and then calculated using the vulnerability assessment equation. The period of vulnerability assessment was divided into the past(1971-2000) and the future(2021-2050). To understand what policy has a priority to climate change, distribution maps of each indicators was depicted and the vulnerability results were compared among administrative districts. Evident differences could be found in entire study area. These differences were mostly derived from regionalspecific adaptive capacity. The result and methodology of this study would be helpful for the development of decision-making supporting system and policy making in forest management with respect to climate change.

• Journal of Korean Society for Geospatial Information Science
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• v.19 no.2
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• pp.19-27
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• 2011

The objective of this study was to suggest technical approaches for preparation and down scaling of climate data used for predicting the potential forest distribution. To predict the forest distribution, we employed a Korean-specific forest distribution model, so-called the TAG(Thermal Analogy Group), and defined the PFT(Plant Functional Types) based on the HyTAG(Hydrological and Thermal Analogy Group). The climate data with 20km spatial resolution were interpolated to fit on the input data format with 1km spatial resolution. Two potential forest distribution maps were estimated using climate data constructed by kriging, one of the interpolation and down-scaling approaches, with and without lapse rate considered. Through the verification process by comparing two potential maps with the actual vegetation map, the forest distribution using the lapse rate was proven to be 38% more accurate.

• Journal of Korean Society of Forest Science
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• v.100 no.2
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• pp.256-265
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• 2011

This study was aiming at assessing the vulnerability of forest distribution by the A2 and B1 climate change scenarios of Intergovernmental Panel on Climate Change (IPCC). The vulnerability of forest distribution was assessed using its sensitivity and adaptation to climate change with the help of the simulations of Korean-specific forest distribution model, so-called the Thermal Analogy Group (TAG), and the Plant Functional Type (PFT) defined in the HyTAG (Hydrological and Thermal Analogy Groups) model. As a result, the vulnerable area occupied 30.78% and 2.81% of Korea in A2 and B1 scenario, respectively. When it comes to the administrative districts, Pusan in A2 and Daegu in B1 appeared the most vulnerable area. This study would be employed into preparation of adaptative measures for forest in future in terms of using climate change scenarios reflecting different future development conditions.