• Journal of Forest and Environmental Science
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• 제33권4호
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• pp.305-314
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• 2017

This study aimed to predict changes in forest area using a probability density function, in order to promote effective forest management in the area north of the civilian control line (known as the Minbuk area) in Korea. Time series analysis (2010 and 2016) of forest area using land cover maps and accessibility expressed by distance covariates (distance from buildings, roads, and civilian control line) was applied to a probability density function. In order to estimate the probability density function, mean and variance were calculated using three methods: area weight (AW), area rate weight (ARW), and sample area change rate weight (SRW). Forest area increases in regions with lower accessibility (i.e., greater distance) from buildings and roads, but no relationship with accessibility from the civilian control line was found. Estimation of forest area change using different distance covariates shows that SRW using distance from buildings provides the most accurate estimation, with around 0.98-fold difference from actual forest area change, and performs well in a Chi-Square test. Furthermore, estimation of forest area until 2028 using SRW and distance from buildings most closely replicates patterns of actual forest area changes, suggesting that estimation of future change could be possible using this method. The method allows investigation of the current status of land cover in the Minbuk area, as well as predictions of future changes in forest area that could be utilized in forest management planning and policymaking in the northern area.

• 환경영향평가
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• 제20권4호
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• pp.523-538
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• 2011

This study analyzes the changes in the surface area of each forest cover, based on temperature data analysis and satellite imagery as the basic methods for the impact assessment of climate change on regional units. Furthermore, future changes in the forest cover are predicted using the double exponential smoothing method. The results of the study have shown an overall increase in annual mean temperature in the studied region since 1990, and an especially increased rate in winter and autumn compared to other seasons. The multi-temporal analysis of the changes in the forest cover using satellite images showed a large decrease of coniferous forests, and a continual increase in deciduous forests and mixed forests. Such changes are attributed to the increase in annual mean temperature of the studied regions. The analysis of changes in the surface area of each forest cover using the statistical data displayed similar tendencies as that of the forest cover categorizing results from the satellite images. Accordingly, rapid changes in forest cover following the increase of temperature in the studied regions could be expected. The results of the study of the forest cover surface using the double exponential smoothing method predict a continual decrease in coniferous forests until 2050. On the contrary, deciduous forests and mixed forests are predicted to show continually increasing tendencies. Deciduous forests have been predicted to increase the most in the future. With these results, the data on forest cover can be usefully applied as the main index for climate change. Further qualitative results are expected to be deduced from these data in the future, compared to the analyses of the relationship between tree species of forest and climate factors.

• 한국산림과학회지
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• 제108권1호
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• pp.10-20
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• 2019

본 연구는 기후변화로 점차 취약해지고 있는 아고산 산림생태계의 변화 및 쇠퇴 실태를 파악하기 위해 전국 아고산 지역 침엽수림의 장기 면적 변화를 파악하는 것을 주요 목적으로 하였다. 1990년대 중반 이후 20년간의 침엽수림 면적 변화 탐지를 위해 시계열 Landsat 위성영상을 분석하였고, 침엽수림 면적과 기후정보의 장기적 변화를 함께 비교하였다. 그 결과, 전체 분석대상지에서 침엽수림의 면적은 20년 동안 약 25 % 감소한 것으로 나타났다. 면적과 변화율의 측면에서 큰 변화가 있었던 지역은 설악산, 백운산-함백산-장산, 지리산, 한라산 등이었다. 이 중 감소면적이 가장 큰 지역은 백운산 지역이었으며(감소면적 542 ha), 침엽수림이 대면적으로 집단화되어 있으면서 감소율이 가장 큰 지역은 한라산이었다(감소율 33.3 %). 제주 지역은 타 지역보다 온도상승이 가장 가파르게 진행되고 있어 한라산이 기후변화 압력에 의한 산림생태계 취약성이 가장 높을 것으로 추정된다. 본 연구결과는 장기적인 관점에서 전체적으로 아고산대 산림지역의 임상이 침엽수림이 감소하는 방향으로 변화하고 있으나 그 추세는 각 지역별로 정도의 차이가 있다는 것을 보여주었다. 본 연구의 전국적이고 장기적인 아고산 지역 침엽수림 변화 정보는 향후 지역별로 수행될 상세한 멸종위기 아고산 침엽수 정밀실태조사 수행을 위한 기초자료로 활용될 수 있다.

• 한국산림과학회지
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• 제109권4호
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• pp.504-511
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• 2020

본 연구는 확률밀도함수를 이용한 목재수확예측기법으로 면적가중치법(AW), 면적비율가중치법(ARW), 표본면적변화율가중치법(SCRW)를 적용하여 전국 국유림의 산림경영계획 목표량 설정을 위한 벌채계획량을 추정하였다. 벌채계획량 추정을 위한 산림면적은 산림기본통계의 2010년, 2015년의 영급별 국유림면적을 이용하였으며, 5년간의 산림면적변화량을 벌채면적으로 가정하여 산출하였다. AW, ARW, SCRW를 이용한 벌기령의 평균은 각각 5.41, 5.56, 5.37로 V~VI영급수준으로 산출되었다. 벌채면적은 각각 594,462 ha, 586,704 ha, 580,852 ha로 SCRW가 실제 면적변화량과 가장 유사하였으며, Chi-square 검정도 SCRW이 가장 안정적으로 분석되었다. 산림경영계획의 목재수확예측을 위한 방법으로 SCRW가 AW와 ARW보다 적합한 것으로 판단된다.

• 농촌계획
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• 제13권2호
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• pp.85-92
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• 2007

This study aims to show how the urbanization of Korea has progressed for the last three decades, what its characteristics are, and how rural land use has changed by the national and district(cities and counties) level. The land use changes accompanying to the urbanization is analyzed through 3 indicators such as urbanization rate, the rate of cultivated and forest land and the rate of urbanized area. The statistical data are 30 years from 1976 to 2005 for time series analysis by the national level, and are for the two years of 1995 and 2005 by the district level. The relationship between urbanization and land use changes in the national level is analyzed using statistical analysis(Correlation Analysis). In order to analyze the dynamic and spatial urbanization and land use changes effectively in the district level, Z-score, Paired T-test, Correlation Analysis, Analysis of Variance and Chi-squire Test are used. The results show negative correlation between urbanization rate and the rate of cultivated and forest land, and positive correlation between urbanization rate and the rate of urbanized area respectively. In the aspect of the change of urbanization rate, four categories are examined. In addition, four types are characterized on the basis of the rate of cultivated and forest land and the rate of urbanized area between 1995 from 2005.

• 농촌지도와개발
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• 제19권3호
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• pp.673-697
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• 2012

The purpose of this study was to describe the policies and outlooks of the green jobs including the forest area. The Methodology of the study was mainly on literature review and second data used and analyzed to get the result. The findings of the study was the manpower of Green Jobs was 2.5% in 2009, it should be expected to 2.9 percent in 2016, and overall of the green jobs and forest area of the outlooks should be increased from 46 percent to 56 percent in each sector of green and forest area. The climate changes and environmental pollutions would push the conditions of new green jobs in forest area as well as waste-based industry. The suggestions were made based on the study of which one is policy-making should be prepared for creating Green Jobs and the forest area.

• Journal of Forest and Environmental Science
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• 제30권1호
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• pp.76-84
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• 2014

This study was performed to monitor the effects of water level change on changes of landscape, vegetation community, and species diversity of riparian forest. Hantan river dam, study area, has been constructed in the area of Chansoo-myeon, Pocheon-si and Yeoncheon-eup, Yeoncheon-gun, Gyeonggi-do, which is a dam for flood control only in flooding season. Landscape changes were notable after the construction of coffer dam, and the changes were caused by water level increase in areas of riparian forests which consisted of mainly withered willow as a dominant species in the flooding season. It changed vegetation communities of riparian forest from Phragmites japonica and Salix koreensis to Phragmites japonica. Species diversity index was lowest in 2010 when the coffer dam was constructed and showed an increasing trend later. Thus, this study is well in agreement with a previous report that plants of the genus Salix wither by muddy water during flooding and also suggests, controlling water level of river and prediction of water level change's effects should be considered when any facilities are planned.

• 한국농림기상학회:학술대회논문집
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• 한국농림기상학회 2016년도 추계 학술발표논문집
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• pp.161-166
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• 2016

• The Korean Journal of Ecology
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• 제22권5호
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• pp.295-298
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• 1999

산림지역의 강우분석에 의한 중금속 농도를 분석한 결과, Al의 수종별 농도는 공단지역의 해송림이 상수리나무림보다 1.3배 높았고, 도시지역은 해송림이 2.1배 높았다. 공단지역과 도시지역 수간류의 Al 농도는 수관통과우와 임외우 보다 각각 2.3배와 192.5배, 4.8배와 55배 높은 농도였고, 임외우는 두 지역에서 같은 농도로 낮았다. Mn의 농도는 수종별 농도는 도시지역의 해송림이 1,4배 높았다. Mn의 강우별 농도는 수간류가 수관통과우 보다 6.1배 높았고, 임외우 보다 121배 높은 농도였다. 강우의 계절별 농도를 분석한 결과에서 Al은 공단지역에서 12월의 강우가 가장 높았고, 다음으로 3월, 6월, 8월 순으로 분석되었지만, 도시지역은 계절별 뚜렷한 변화가 없었다. 지역별 중금속의 농도는 공단지역에서 Al>Mn>Ni의 순이었고, 도시지역은 Mn>Al>Ni의 순으로 조사되었다.

• 한국산림과학회지
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• 제98권4호
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• pp.458-463
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• 2009

산불 발생 후 시간경과에 따른 표면유출수량의 변화과정 및 환경인자와의 관계를 비피해지와 비교분석한 결과 산불피해지가 비피해지에 비해 산불 발생 당해연도인 1996년도에는 1.72배, 산불발생 후 1년이 경과한 1997년도에는 1.44배, 5년이 경과한 2001년도에는 1.38배, 10년이 경과한 2006년도에는 1.16배 정도 많은 표면유출수량을 보여 산불발생 후 10년이 경과하면 산불피해지의 표면유출수량은 비피해지와 거의 같은 수준으로 회복이 이루어지는 것으로 조사되었다. 산불피해지 및 비피해지의 표면유출수량은 단위강우횟수, 누적강우횟수, 단위강우량 등 강우인자에 직접적인 영향을 받는 것으로 나타났다.