• Journal of Korean Society of Forest Science
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• v.112 no.3
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• pp.290-302
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• 2023

The aim of this study was to examine the changes in the initial tree growth characteristics of Q. variabilis planted in forest fire-damaged areas treated with soil moisturizers such as biochar and to identify the factors that affect tree growth. To evaluate the effectiveness of soil moisture treatment in the area planted with QV, an experimental plot was created according to the treatment method (spread and mix) and treatment ratio (0, 4, and 40 t/ha). The survival rate of QV was 20% higher in the treatment plot than in the control plot. The height and root collar diameter (RCD)growths of QV were high on the northern slope with spread treatment and on the southern slope with mix treatment. The relative growth rate (RGR) according to the soil moisturizer treatment method was higher in the mix treatment, showing a significant difference in RCD. The northern slope had a higher RGR and significant growth rate. This suggests that the growth improvement effect may depend on the soil moisturizer treatment method. The aspect or treatment method affectsthe drying conditions of the soil, which in turn affects its moisture content or nutrient dynamics. The present research results can be used to establish soil moisturizer treatment standards that are suitable for growth purposes. In addition, this study demonstrates that biochar treatment can be considered as an effective alternative to boost biomass and facilitate early restoration of forest fire-damaged areas.

• Korean Journal of Environment and Ecology
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• v.15 no.1
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• pp.69-78
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• 2001

본 연구는 지리산국립공원 아고산대 훼손지에서 식생복원 효과를 구명하기 위하여 야생풀포기심기, 개량토포설, 환경피해도 요인을 고려하여 입지환경이 다른 2개 대상지에 실험구를 설치한 후 4년(1997년~2000년) 동안 식생피복도와 종다양성을 조사. 분석하였다. 신림지대와 초원지대에서의 복원실험은 야생풀포기이식, 개량토포설, 환경피해도 요인간 상호작용효과는 없었으나, 야생풀포기이식 처리수준간에는 고도의 유의한 차이가 인정되었다. 국립공원 능선부 훼손지의 식생복원 실험 결과 토양이 습한 산림지대에서는 야생풀포기이식 15%피복 처리수준에서 2년안에 식생피복이 이루어졌고, 종다양성은 3년만에 복원되었다. 또한 무처리구에서 3년안에 식생피복이 이루어졌으나, 종다양성은 복원되지 않았다. 바람이 많고, 토양침식이 심한 능선부 초원지대에서는 3년후에 야행풀포기이식과 30% 피복 처리수준에서 식생피복이 양호하게 이루어졌으며, 종다양성은 복원되지 않았다.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2019.10a
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• pp.27-27
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• 2019

본 연구는 멸종위기 아고산수종 구상나무의 보존 복원을 위한 유전다양성을 고려한 표본추출전략을 구명하는데 그 목적이 있다. 2019년 9월에 한라산 영실 집단($14,000m^2$)에서 총 152개체를 대상으로 선발된 10개의 nSSR 마커를 이용하여 유전다양성 및 공간적 유전구조를 분석하였다. 평균 유전다양성은 관찰된 대립유전자수(A)가 7.2개, 유효대립유전자수($A_e$)가 3.6개, 이형접합도 관찰치($H_o$)가 0.528, 이형접합도 기대치($H_e$)가 0.595이며, 고정지수(F)는 0.071 이었다. 조사구내 구상나무 성목 152개체는 평균 수고 3.6 m, 흉고직경 17.3 cm로 나타났다. 구상나무의 개체목간 평균거리는 3.94 m, 임분밀도는 700 본/ha 이며 개체의 공간적 분포는 임의분포 형태로 나타났다. 구상나무의 유전변이에 대한 공간적 자기상관성(spatial autocorrelation) 분석 결과, 조사구의 구상나무는 약 15 m 이내에서 분포하는 개체들 간 유전적 유사성이 있게 분포하는 것으로 나타났으며 임분밀도가 높고 수고가 낮은 특성으로 인하여 비교적 작은 유전군락이 형성된 것으로 사료된다. 결과적으로 영실의 구상나무 집단의 보존 복원을 위한 표본추출전략은 15 m의 간격을 두고 개체를 선발하는 것이 타당한 것으로 나타났다.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.27 no.1
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• pp.17-29
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• 2024

This study was conducted to select the restoration priority of forest damage sites in Gangwon Province. We first identified the status of damaged areas. We then selected restoration evaluation indicators through a literature review. We then set weights for these indicators through expert surveys. We next acquired data that can represent these indicators and spatially mapped them. Finally, we prioritized the restoration target sites by taking the weights. The results of the study showed that disaster sensitivity and ecologicality are important criteria for selecting the restoration priority of damage sites. The analysis showed that damage sites in Doam, Jeongseon, Samcheok and Inje are in urgent need of restoration. The results of this study are significant in that they selected the restoration priority of damage sites in Gangwon Province based on the restoration priority evaluation criteria selected based on expert surveys. However, the priority restoration areas derived from the results of this study are not actually implementing restoration projects at present. Therefore, it is judged that it would be efficient in various aspects to establish the restoration priority area based on scientific analysis techniques and carry out the project for efficient implementation of the restoration project. In this study, it can be pointed out that the priority of restoration of damage sites was derived based on data from the past due to the limitation of data acquisition. However, the fact that the priority restoration area inferred based on past data has been restored over time has improved the reliability of the study by verifying the usefulness of the priority extraction technique. In the future, if the priority of damage sites is extracted by extracting the restoration target area boundary through the latest data based on the methodology applied in this study, it is considered that it will be available as a result that can be applied to the field.

• Bulletin of Korea Environmental Preservation Association
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• v.29 s.368
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• pp.40-44
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• 2007

• Landscaping Tree
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• v.63 no.7_8
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• pp.14-19
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• 2001

• The Korea Beekeeping Bulletin
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• s.330
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• pp.57-57
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• 2008

• Korean Journal of Remote Sensing
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• v.39 no.6_1
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• pp.1341-1352
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• 2023

The normalized difference vegetation index (NDVI) derived from satellite images is a crucial tool to monitor forests and agriculture for broad areas because the periodic acquisition of the data is ensured. However, optical sensor-based vegetation indices(VI) are not accessible in some areas covered by clouds. This paper presented a synthetic aperture radar (SAR) based approach to retrieval of the optical sensor-based NDVI using machine learning. SAR system can observe the land surface day and night in all weather conditions. Radar vegetation indices (RVI) from the Sentinel-1 vertical-vertical (VV) and vertical-horizontal (VH) polarizations, surface elevation, and air temperature are used as the input features for an automated machine learning (AutoML) model to conduct the gap-filling of the Sentinel-2 NDVI. The mean bias error (MAE) was 7.214E-05, and the correlation coefficient (CC) was 0.878, demonstrating the feasibility of the proposed method. This approach can be applied to gap-free nationwide NDVI construction using Sentinel-1 and Sentinel-2 images for environmental monitoring and resource management.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2019.10a
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• pp.28-28
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• 2019

본 연구는 멸종위기 아고산수종 구상나무 잔존집단 복원을 위해서 묘목처리 및 입지환경이 구상나무묘목 초기생장에 미치는 영향을 구명하고자 수행하였다. 연구대상지는 경상남도 금원산으로 해발 1,300 m 이상 능선부(1입지)와 구상나무 잔존집단(2입지)을 선정하였다. 식재한 구상나무 실생묘는 지리산 5개 개체에서 종자를 채취하여 2014년도 파종한 1~5묘 1,350본을 이용하였다. 2019년 5월 연구대상지의 조릿대를 제거 후 무처리, 분해포트, 균근균 접종 실생묘를 9개 구역으로 나누어 3반복씩 입지별 0.15 ha, 4,500 본/ha 밀도로 식재하였다. 식재 후 2019년 5월부터 8월까지 입지별 기상데이터를 수집하였고 묘목의 생존율, 수고, 1년지 생장량 및 근원경을 측정하였다. 환경분석 결과 1입지(88.2%, $42.8umole{\cdot}m^{-2}{\cdot}s^{-1}$)가 2입지(84.5%, $29.4umole{\cdot}m^{-2}{\cdot}s^{-1}$)에 비해 대기습도와 광량이 높게 나타났다. 구상나무 실생묘의 생존율은 모든 입지에서 100%로 나타났다. 입지별 생장특성 분석 결과 1입지가 수고 17.3 cm, 1년지 생장 4.72 cm 및 근원경 6.20 mm로 2입지(19.0 cm, 3.88 cm, 5.31 mm)에 비해 양호한 것으로 나타났다. 묘목 처리에 따른 분석 결과 무처리와 분해포트 묘목이 모든 입지에서 초기 생장이 양호하였고 균근균 접종 처리는 초기에는 비교적 낮은 생장특성이 나타났다. 결과적으로 대기습도와 광량이 높은 환경 조건이 구상나무 묘목의 초기 생장에 긍정적인 영향을 주었으며 묘목 처리에 따른 생장특성은 지속적인 모니터링이 필요한 것으로 나타났다.

• Journal of Korean Society of Forest Science
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• v.104 no.4
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• pp.622-631
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• 2015

This study was conducted to clarify the distribution and fragmented points of mountain range and to select priority points for restoration by assessment in Daejeon. There were ten Semaek of mountain extended from three Jimaek in Daejeon. As a result of overlapping the main mountain ridge with a network of roads, twelve points out of total thirty-one fragmented points were chosen as practical points for restoration. We developed index and model to assess twelve practical points for restoration. All points were classified into three grades, four points of grade I, five points of grade II and three points of grade III. From this study, we proposed differentiated restoration plan for each grade. Further studies on development of more objective assessment and detailed methodology should be needed to prepare effective restoration plan.