• Journal of Korean Society of Forest Science
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• v.103 no.3
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• pp.446-452
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• 2014

This research aimed to provide a method to estimate growing stock and carbon stock using the characteristics of forest type map such as the age-class, DBH class and crown density class. We transformed the growing stock data of national forest inventory (mainly Kangwon-do province) onto those of time when the forest type map was established. We developed a simulation model for the growing stock using the transformed data and the characteristics of forest type map by the quantification method I. By comparing partial correlation coefficient, we found that quantification of growing stock was largely affected by age-class followed by crown density class, forest type and DBH class. The growing stock, was estimated as minimum in the broadleaved forest with age-class II, DBH class 'Small', and crown density class 'Low' as $20.0m^3/ha$, whereas showed maximum value in the coniferous forest with age-class VI, DBH class 'Large', and crown density class 'High' as $305.0m^3/ha$. The growing stock for coniferous, broadleaved, and mixed forest were estimated as $30.5{\sim}305.0m^3/ha$, $20.0{\sim}200.4m^3/ha$, and $23.8{\sim}238.1m^3/ha$, respectively. When we compared the carbon stock by forest type, the carbon stock by age class based on growing stock was maximum when DBH class was 'Large' and crown density class was 'High' regardless of forest type. This estimation of growing stock by using characteristic of forest type can be used to estimate the changes in growing stock and carbon stock resulting from deforestation or natural disaster. In addition, we hope it provide a useful advice when forest officials and policy makers have to make decisions in regard to forest management.

• Journal of Korean Society for Geospatial Information Science
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• v.20 no.1
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• pp.83-91
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• 2012

Crown density, which is defined as the proportion of the forest floor concealed by tree crown, is important and useful information in various fields. Previous methods of measuring crown density have estimated crown density by interpreting aerial photographs or through a ground survey. These are time-consuming, labor-intensive, expensive and inconsistent approaches, as they involve a great deal of subjectivity and rely on the experience of the interpreter. In this study, the crown density of a forest in Korea was estimated using KOMPSAT-2 high-resolution satellite images. Using the image segmentation technique and stand information of the digital forest map, the forest area was divided into zones. The crown density for each segment was determined using the discriminant analysis method and the forest ratio method. The results showed that the accuracy of the discriminant analysis method was about 60%, while the accuracy of the forest ratio method was about 85%. The probability of extraction of candidate to update was verified by comparing the result with the digital forest map.

• Journal of the Korean GEO-environmental Society
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• v.17 no.6
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• pp.13-21
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• 2016

Since the landslide hazard areas prediction was analyzed by slope-angle and soil properties, regional characteristics is not taken. Therefore, in order to make more rational prediction, it is necessary to consider the characteristics of the region. Tree roots have been known to increase soil cohesion in landslide hazard areas and to vary the degrees depending on the tree type. In addition, a reasonable prediction of landslide hazard areas can be made by considering crown density based on crown distribution patterns of the area of interest. In this study, using the roots cohesion considering the crown density of the trees, which is in the landslides risk areas around Mt. Gwehwa in Sejong City, the landslides risk areas were predicted and compared with predicted results obtained by not considering root cohesion.

• Korean Journal of Environment and Ecology
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• v.33 no.5
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• pp.578-586
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• 2019

The purpose of this study was to investigate the change of spatial distribution of Korean red pine (Pinus densiflora Siebold & Zucc.) in Hallasan National Park by surveying the distribution and crown density and analyzing by the elevation, slope, orientation, and regional habitat in 2006 and 2015. The total area of the Korean red pine forest was 1,259.9 ha in 2015, which increased by 51.4 ha, or 4.1%, compared to 1,208.5 ha in 2006. For the past 10 years, the area of sparse density with crown density of 11% to 40% of Korean red pine increased by 59.8 ha, the area of moderate density with crown density of 41% to 70% increased by 59.0 ha, and the area of dense density with 71% or more crown density increased by 67.3 ha. In terms of the altitude above sea level, the Korean red pine forest area between 1,010 m and 1,400 m was the largest at 1,003.0 ha or 79.6% of the total area in 2015. The area between 1,100 m and 1,300 m increased, and the area of dense density decreased significantly while the areas of moderate density and sparse density increase. There was no notable change according to the land slope, and the area increased from 2006 regardless of the slope. By direction, 56.4% were distributed in the southwest and southeast directions centered on the south-facing slope with the increase of 27.8 ha over the 10 years while the northwest and northeast directions centered on the north-facing slope decreased by 7.6 ha. Regarding the distribution change of the Korean red pine forest by the region, the Yeongsil area showed an increase of 25.5 ha, or 49.6% of the total area increase, in 2006 while the Ibseog-oreum area including the right side on the Sanbeoleum mountain valley increased by 20.4 ha. The distribution in the Gaemideung area that includes Jogeundeule increased by 7.4 ha while that of Sogbat in Sungpanak Trail decreased by 1.9 ha. This study analyzed the changes in the distribution area and crown density of the Korean red pine forest according to the altitude, slope, direction, and regional habitat in Hallasan National Park. The expansion of Korean red pine forest distribution was limited to the areas where the grass and the shrub was the dominating vegetation structure, or the forest gap was created by the disturbance. On the other hand, the distribution area of the Korean red pine forest surrounded by deciduous broad-leaved forests or mixed vegetation structure is considered to result from the change in density more than the area due to competition with deciduous broad-leaved trees.

• Journal of Korean Society of Forest Science
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• v.101 no.2
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• pp.244-250
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• 2012

The objective of this study was to analyze the above-ground biomass and crown fuel characteristics of Pinus densiflora stands in Yangyang, Gangwon province. A total of thirteen representative trees were destructively sampled in Yangyang region. The results showed that the stem density ($g{\cdot}cm^{-3}$) was 0.347~0.409, whereas the above-ground biomass expansion factors ranged from 1.251~1.419. In terms of crown fuel biomass, the above-ground biomass was $161.6Mg{\cdot}ha^{-1}$ while the stem biomass, branch biomass and needle biomass were $126.4Mg{\cdot}ha^{-1}$, $29.3Mg{\cdot}ha^{-1}$ and $5.9Mg{\cdot}ha^{-1}$, respectively. Needles and twigs with less than 1 cm diameter accounted 45.2% of the total crown fuel load. The available crown bulk density, which was calculated by dividing the crown fuel load to the crown volume, was $0.178kg{\cdot}m^{-3}$. The results of this study on the biomass and carbon stocks estimation of the Pinus densiflora together with the crown fire hazard assessment based on crown fuel loads are very significant information for the forest managers.

• Journal of the Korean GEO-environmental Society
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• v.18 no.6
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• pp.21-30
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• 2017

This study analyzed the ground characteristics region by designating 3 research areas, Anrim-dong in Chungju City, Busa-dong in Daejeon Metropolitan City and Sinan-dong in Andong City out of the areas subject to concentrated management to prepare for sediment disaster in downtown areas. The correlation between ground characteristics were observed by using characteristics (crown density, root cohesion, rainfall characteristics, soil characteristics) and the risk areas were predicted through sediment disaster prediction modeling. Landslide MAPping (LSMAP), Stability Index MAPping (SINMAP) and Landslide Hazard MAP (LHMAP) were used for the comparative analysis of the hazard prediction model for sediment disaster. As a result of predicting the sediment disaster danger, in case of SINMAP which was generally used, excessive range was predicted as a hazardous area and in case of the Korea Forest Service's landslide hazard map (LHMAP), the smallest prediction area was assessed. LSMAP predicted a medium range of SINMAP and LHMAP as hazardous area. The difference of the prediction results is that the analysis parameters of LSMAP is more diverse and engineering than two comparative models, and it is found that more precise prediction is possible.

• Journal of Korean Society of Forest Science
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• v.106 no.2
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• pp.258-266
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• 2017

This study was conducted to develop a carbon storage distribution map of Pinus rigida stands in Muju-gun by using of the National Forest Inventory data and digital forest map. The relationships between the stand variables such as height, age, diameter at breast height (DBH), crown density and aboveground biomass of Pinus rigida were analyzed. The results showed that the crown density had the highest positive correlation with a value of 0.74 followed by the height variable with value of 0.61. The aboveground biomass regression models were developed to estimate biomass and carbon storage map. The results of this study showed that the average carbon storage was 58.2 ton C/ha while the total carbon stock of rigida pine forests in Muju area was estimated to be 430,963 C ton.

• Korean Journal of Environment and Ecology
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• v.13 no.1
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• pp.34-48
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• 1999

본 연구는 주요 조경수목에 대한 생장예측모델을 추정하여 적정 식재간격을 산정하기 위해 실시하였다. 조경식재에서 많이 사용되는 9개 수종을 대상으로 수종별 30주 이상씩의 개체를 선정한 후, 상관성이 높은 측정변수 간에 회귀분석을 실시하여 생장예측모델을 추정하였다. 그리고 서울 시내 2개 아파트단지 녹지를 사례연구지로 선정하여 생육상태를 파악하고 모델과 비교하였다. 전체적으로 교목층 위주의 식재로 인해 식재밀도가 과밀하여 수관이 왜곡되고 기형적으로 생장하는 현상이 발생하고 있는 바, 수관중복률과 수관왜곡률을 분석한 결과에 의하면 현재의 식재간격이 매우 조밀한 것으로 밝혀졌다. 결론적으로 시간경과에 따른 주요 조경수종의 규격별 생장예측을 통해 목표년도별 적정 식재간격을 제안하였는데, 목표년도를 식재 후 5년으로 본다면 상록교목은 2.0m, 낙엽교목은 3.0~4.0m, 낙엽아교목은 2.0~2.5m의 식재간격이 적당하고, 식재 후 10년을 목표년도로 한다면 상록교목의 경우 3.0m, 낙엽교목은 4.0~6.0m, 낙엽교목은 2.5~3.0m의 간격을 유지하여야 한다. 한편, 본 연구의 결과와 서울시 조례기준 식재밀도를 비교하였는데, 식재후 5년이 경과한 시점에서는 0.23본/m2, 10년 경과시점에서는 0.12본/m2이 적정 식재밀도로 밝혀져 현재 0.2본/m2으로 정하고 있는 서울시 교목식재 관련 기준은 5년 정도를 목표시점으로 한다면 적절한 수준임을 알 수 있었다. 그러나 식재 후 10년이 경과하면 수관중복률이 25%를 초과하게 되므로 쾌적한 녹지환경을 유지하기 위해 반드시 적절한 관리를 실시해야 할 것으로 판단되었다.

• Journal of Forest and Environmental Science
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• v.16 no.1
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• pp.34-41
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• 2000

This study investigated tree vigor of damaged forest by Thecodiplosis japonensis Uchida et Inouye. In damaged forest by pine gall midge, the investigation result of damaged rate section (severe, moderate, light) indicated that severe stand showed higher value of electric resistance ($k{\Omega}$) than that of light stand, the investigation result of tree density section(crowed, middle, little) indicated that crowed stand showed higher value of electric resistance than that of little stand (the value of electric resistance at which low reading show high vigor tree and high reading low vigor tree). The crown width and DBH (diameter of breast height) of external factors showed lower value of electric resistance than that of small size. The results of comparative between Crown area and value of electric resistance in each stand were $13.4m^2$ in severe stand, $10.9m^2$ in moderate stand and $7.9m^2$ in light stand. Therefore, the tree which have big crown showed low value of electric resistance (below $15k{\Omega}$)that has high possible of survial.

• 한국방재학회:학술대회논문집
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• 2011.02a
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• pp.196-196
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• 2011

산림연료 특성별 산불피해도 분석을 위하여 산불피해의 조사지역은 2009년, 2010년 산불이 발생했던 강원도 고성지역과 양양지역, 강릉지역과 삼척지역을 조사 대상지역으로 선정하였으며, 고성군의 경우 숲구조가 유령림인 활엽수림이 2개소, 칩엽수림 1개소, 장령림인 활엽수림 2개소로 총 5개소, 양양군은 숲구조가 유령림인 침엽수림이 1개소, 장령림 침엽수림 2개소 총 3개소, 삼척시의 경우는 숲구조가 유령림인 침엽수림이 1개소 외 대조구 장령림 침엽수림 1개소, 강릉시의 경우 숲구조가 장령림인 침엽수림이 3개소 총 13개소를 각각 대상지로 선정하였다. 산림연료 특성별 산불피해도를 조사하기 위한 조사지 규모는 $10m{\times}10m$로 하였으며, 현장 조사 항목은 조사지내의 산불피해 상태, 조사지 지형특성으로 나누어 조사를 실시하였다. 산불피해 상태는 산불진행방향, DBH, 총수고, 지하고, 고사여부, 편면연소, 밀도, 수간피해율, 수관피해율 등을 조사하였고, 조사지의 지형특성을 알아보기 위해 조사지의 위치(GPS), 해발고도, 사면방위, 산지경사, 지형을 조사하였다. 현장조사를 위한 조사장비로는 조사지의 지형도, 야장, 디지털 카메라, GPS, 수고측정기, 직경테이프, 캘리퍼, 50m 줄자 2개, 2m 폴대, 클리노메타, 바인더끈 등을 사용하였다. 산불사례 현장조사를 통해 임목고사여부, 편면연소, 수간피해율, 수관피해율 등의 산불피해 특성을 분석한 결과 연료의 특성별 유령림과 장령림의 편면연소율은 유령림은 97.3%, 장령림은 16.5%로 유령림의 편면연소율이 장령림보다 80.8% 더 피해를 받는 것으로 나타났으며, 수관피해율은 유령림은 95.4%, 장령림은 19.9%로 유령림의 수관피해율이 장령림보다 75.5%더 피해를 입은 것으로 조사 되었다. 또한 임목고사율은 유령림은 73.8%, 장령림은 24.5%로 유령림의 임목고사율이 장령림보다 49.3% 더 피해를 받는 것으로 분석 되었다.