• 대한토목학회논문집
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• 제26권3D호
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• pp.527-534
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• 2006

본 연구에서는 2005년 4월 강원도지역의 대규모 산불로 인해 발생한 산림피해면적과 그에 따른 피해액 산정을 목적으로 하였다. 정확한 산림피해액의 산정을 위해서는 정확한 피해지역의 분류, 수고 의 결정이 중요하며, 이를 위해 SPOT-4 위성 영상을 이용하여 산불피해가 발생한 지역의 면적을 계산하고, 항공 및 지상 LiDAR 자료를 활용하여 수고모델을 생성하였다. 수고모델로부터 나무의 높이값을 결정하고, 임상도로부터 피해지역내 수종, 밀도를 추출함으로서 임분재적을 계산하였으며, 2005년 4월 고시된 입목가격을 기준으로 산림피해액을 산정하였다.

• The Plant Pathology Journal
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• 제39권6호
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• pp.548-565
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• 2023

Armillaria root disease affects forests around the world. It occurs in many habitats and causes losses in the infested stands. Weather conditions are important factors for growth and development of Armillaria species. Yet, the relation between occurrence of damage caused by Armillaria disease and weather variables are still poorly understood. Thus, we used generalized linear mixed models to determine the relationship between weather conditions of current and previous year (temperature, precipitation and their deviation from long-term averages, air humidity and soil temperature) and the incidence of Armillaria-induced damage in young (up to 20 years old) and older (over 20 years old) coniferous stands in selected forest districts across Poland. We used unique data, gathered over the course of 23 years (1987-2009) on tree damage incidence from Armillaria root disease and meteorological parameters from the 24-year period (1986-2009) to reflect the dynamics of damage occurrence and weather conditions. Weather parameters were better predictors of damage caused by Armillaria disease in younger stands than in older ones. The strongest predictor was soil temperature, especially that of the previous year growing season and the current year spring. We found that temperature and precipitation of different seasons in previous year had more pronounced effect on the young stand area affected by Armillaria. Each stand's age class was characterized by a different set of meteorological parameters that explained the area of disease occurrence. Moreover, forest district was included in all models and thus, was an important variable in explaining the stand area affected by Armillaria.

• 지질공학
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• 제34권1호
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• pp.51-65
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• 2024

산사태는 전 세계적으로 매년 큰 재산 피해를 야기하는 자연 재해로 알려져 있다. 국내에서도 기후 변화의 영향으로 산사태 피해가 증가하는 경향을 보이고 있으며, 이로 인한 피해를 줄이기 위해서는 산사태를 증가시키는 인자들을 파악하는 것이 중요하다. 따라서 본 연구는 충청북도 충주시에서 발생한 산사태 피해에 영향을 미치는 변수들의 중요도를 평가하기 위해 랜덤포레스트 모델을 활용하여 14개의 인자들 사이의 중요도를 분석하였다. 연구 결과, 모델의 성능은 AUC가 0.87로 높은 정확도를 보이며, 변수 중요도는 경사 방향, 경사, 계곡까지의 직선 거리, 고도 순으로 정해졌으며, 이는 경사방향과 경사 등의 지형인자가 암종과 유효토심과 같은 지질과 토양인자보다 산사태 피해에 더 큰 영향을 미친다는 것을 시사한다. 이 연구 결과는 산사태 피해 예측지도의 제작 및 산사태 피해 감소에 초점을 맞춘 연구에 기초 자료로서 활용될 수 있을 것으로 기대된다.

• 한국환경복원기술학회지
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• 제27권3호
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• pp.1-18
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• 2024

The study aims to establish a direction for forest ecological restoration by classifying forest types and understanding the ecological characteristics of the Uljin forest area damaged by a large fire in 2022. Hierarchical cluster analysis and indicator species analysis were conducted on 78 survey plots located in the forest fire-affected area, and four forest cover types were derived: P. densiflora pure forests, P. densiflora dominant forests, mixed broad-leaved forests, and Q. variabilis dominant forests. As a result of visually comparing changes in forest types before and after forest fire damage, by classifying data according to whether or not upper dead trees are included, it was confirmed that pine forests, which have a high proportion of pine trees, spread widely due to forest fire damage. However, broad-leaved mixed forests and oyster oak dominant forests showed characteristics of maintaining concentration, indicating that pine forests were severely damaged. As a result of the important value analysis, during the process of natural recovery after a forest fire, the species that appear early in the lower layer are the sprouts of existing species such as Quercus mongolica Fisch. ex Ledeb., Quercus variabilis Blume, Fraxinus sieboldiana Blume, Rhododendron mucronulatum Turcz. The distribution of diameter at breast height by forest cover type showed that among areas with extreme forest fire damage, the proportion of dead trees was relatively high and structural changes were large in P. densiflora pure forests and P. densiflora dominant forests where pine trees had a high distribution ratio. However, if continuous monitoring is carried out in the future with reference to the results of this study and plant data is collected and analyzed from a mid- to long-term perspective, it is believed that it will be used as useful data to promote forest ecological restoration projects in forest fire-affected areas.

• 한국환경복원기술학회지
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• 제27권1호
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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.

• 한국환경생태학회지
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• 제37권6호
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• pp.439-449
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• 2023

본 연구는 우리나라 대형산불의 진화에 있어 임도(산림도로)의 역할을 검증하고자 하였다. 연구대상지는 그간 발생한 대형산불 중 도로밀도가 가장 높은 지역 중 하나인 강원특별자치도 강릉시에서 발생한 2023년 4월 산불피해지역을 대상으로 하였다. 산불피해지역 범위는 현장확인하였으며, 산불의 피해강도는 Sentinel-2 영상을 통해 분석하였다. 이후, 피해범위 및 강도와 산림도로의 관계를 살펴보았다. 전체 149.1ha의 산불피해지역에 쉽게 접근할 수 있는, 피해지역 경계로부터 50m 이내에 조성된 도로는 약 59.6km로, 인접지역을 포함한 산불피해지역의 도로밀도는 무려 168.9m/ha에 달했다. 도로에 의해 단절된 산림은 모두 83개소로 파편화되어 있었는데, 이들 산림은 모두 비산화에 의한 확산으로 판단할 수 있어, 도로가 산불의 차단선 역할을 하지 못했음이 확인되었다. 진화차량 접근의 용이성에 따른 피해정도를 살펴보기 위해 도로로부터의 거리별 피해강도 분포를 살펴본 결과, 낮은 강도의 피해를 입은 지역은 오히려 도로에서 75m이상 떨어진 곳에서 비율이 대폭 높아짐이 확인되었다. 진화인력의 접근 용이성에 따른 피해정도를 살펴보기 위해 해발고별 피해강도 분포를 살펴본 결과 약한 강도의 피해를 입은지역 비율은 해발고가 높아질수록 늘어난 반면, 강한 강도 이상의 피해지역은 반대로 해발고가 높아질수록 비율이 줄어들었다. 강릉시 난곡동 산불피해지역에서 산림내부 혹은 인접한 도로가 산불진화에 효과적이라는 데이터는 없는 것으로 확인되었다. 이상의 결과는 산림 내 임도밀도를 높이는 것이 산불진화에 효과적이라는 논리와 배치된다. 강릉시 난곡산불지역의 경우 현재 산림청이 주장하는 우리나라 임도밀도인 3.9m/ha에 비해 무려 43배나 높다.

• 한국환경생태학회지
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• 제21권6호
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• pp.559-564
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• 2007

원주 성남리 성황림(척연기념물 제 93호)에서 보호철책의 설치 이후 노거수의 치수들이 어느 정도 생육하는가에 대한 조사를 통하여 성황림의 생태적 변화를 밝히고자 조사한 결과 다음과 같은 결과를 얻었다. 1989년 보호철책의 설치로 사람들의 출입을 통제한 결과 평지림의 토양강도(토양견밀도)는 도로로 이용되었던 부분을 제외하고는 크게 완화되었다. 피해도 2, 3, 4로 지피식생이 없었던 평지림에서 1,202개체의 치수가 자라고 있어 가장 많았고, 피해도 1인 지역에서 565개체, 피해가 없었던 사면림에서는 403개체가 조사되었다. 수고 2m 이상의 유목단계인 치수들은 피해도 1인 지역에서 48개체로 가장 많았고, 피해도 2, 3, 4인 지역에서는 31개체, 피해가 없었던 사면림에서는 $400m^2$의 면적에 14개체로 조사되었다 교목의 치수들은 피해도 2, 3, 4로 지피식생이 거의 없었던 평지림에서 느릅나무, 복자기가 상대적으로 많았으며, 피해도 1인 평지림에서 귀룽나무, 쪽동백, 피해가 없었던 사면림에서 고로쇠와 당단풍나무가 상대적으로 많았다. 지피식생이 거의 없었던 평지림에서 줄딸기, 복분자딸기, 산딸기, 으름덩굴 등이 먼저 왕성하게 자라고 있으나 교목성 치수들의 생장에 따라 점차 개체수가 줄어들 것으로 기대된다.

• Journal of Forest and Environmental Science
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• 제24권3호
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• pp.137-142
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• 2008

In this paper, we apply a logistic regression model to the data of snow damage on sugi (Cryptomeria japonica) occurred in Toyama prefecture (in Japan) in 2004 for estimating the risk probability. In order to specify the factors effecting snow damage, we apply a model selection procedure determining optimal subset of explanatory variables. In this process we consider the following 3 information criteria, 1) Akaike's information criterion, 2) Baysian information criterion, 3) Bias-corrected Akaike's information criterion. For the selected variables, we give a proper interpretation from the viewpoint of natural disaster.

• Journal of Ecology and Environment
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• 제43권4호
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• pp.364-375
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• 2019

Background: Ecologists continue to investigate the factors that potentially affect the pattern and magnitude of tree damage during catastrophic windstorms in forests. However, there still is a paucity of research on which trees are more vulnerable to direct damage by winds rather than being knocked down by the fall of another tree. We evaluated this question in a mixed hardwood-softwood forest within the Big Thicket National Preserve (BTNP) of southeast Texas, USA, which was substantially impacted by Hurricane Rita in September 2005. Results: We showed that multiple factors, including tree height, shade-tolerance, height-to-diameter ratio, and neighborhood density (i.e., pre-Rita stem distribution) significantly explained the susceptibility of trees to direct storm damage. We also found that no single factor had pervasive importance over the others and, instead, that all factors were tightly intertwined in a complex way, such that they often complemented each other, and that they contributed simultaneously to the overall susceptibility to and patterns of windstorm damage in the BTNP. Conclusions: Directly damaged trees greatly influence the forest by causing secondary damage to other trees. We propose that directly and indirectly damaged (or susceptible) trees should be considered separately when assessing or predicting the impact of windstorms on a forest ecosystem; to better predict the pathways of community structure reorganization and guide forest management and conservation practices. Forest managers are recommended to adopt a holistic view that considers and combines various components of the forest ecosystem when establishing strategies for mitigating the impact of catastrophic winds.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2007년도 춘계학술발표회 논문집
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• pp.211-214
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• 2007

After the forest fire, as access is not easy, forest damage degree are determined with Landsat TM image rather than visual inspection. Therefore in this study, damaged areas are extracted with factor analysis and cluster analysis. Second factor analysis was performed for areas suspicious as forest fire damage areas to evaluate accuracy after separating into strong, medium and light forest fire areas.