• 한국환경복원기술학회지
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• 제24권3호
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• pp.99-114
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• 2021

We examined a current status of damage in biodiversity and its causing factors in Hasidong Anin coastal dune, Gangneung-si, Gangwon province which is designated as ecological and landscape conservation area. In this study, we found that ecosystem and biodiversity have been primarily damaged by anthropogenic factors such as the construction of surrounding area, military facilities illegally dumped garbage and the expansion of windbreak forest. These factors occur to damage the landscape, ecosystem and biodiversity etc. There is a significant lack of basic data needed for preservation and restoration due to the lack of prior research and value assessment. In order to establish solutions for preservation and restoration, it is critical to collect fundamental data and implement value assessments. Therefore, further studies such as ecosystem services assessment, increasing biodiversity, spatial analysis and monitoring of various items related to coastal dunes are needed.

• 한국환경복원기술학회지
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• 제20권1호
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• pp.97-115
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• 2017

The purpose of this study is to evaluate the preference and image on landscape of before and after the restoration in the four study areas where the restoration project of Baekdudaegan ecological ridgeline was carried out and to explore the change factors of image preference according to restoration project. The study areas were Beoljae, Ihwaryeong, Bijoryeong, and Yuksimnyeong and 248 questionnaires were used for analysis. As a result of the recognition analysis on restoration project of ecological ridgeline, the awareness of the project was low at 2.63, the satisfaction of the project was 3.42, and necessity of the project was 4.07. In terms of the preference analysis for landscape photographs, the all preferences of four sites were improved after the project than before. In the result of the landscape image evaluation, images such as 'lifeless', 'uniform' and 'ugly' were high before the project, however, images such as 'clean', 'tidy', and 'stable' were high after the project. As a result of analyzing the change factors of image preference according to the restoration project, adjectives such as 'beautiful-ugly' and 'open-closed' influenced the preference change in common. These findings can be utilized as the base data for the planning direction for the construction of new ecological ridgeline or the landscape conservation of existing ecological ridgeline.

• 한국환경과학회지
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• 제25권4호
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• pp.459-472
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• 2016

We assessed the distribution of benthic macroinvertebrate at four surveying sites in Upo Wetland, a Ramsar site and the largest wetland in Korea, from February 2006 to November 2013. A long-term ecological monitoring was done monthly by using quantitative sampling method with dip net for analyzing the community change and correlation between the biodiversity and the environmental factors because environmental factors have a decisive effect on the community structure of the benthic macroinvertebrates. Total samples from the Upo Wetland area were classified into 3 phyla, 6 classes, 17 orders, 68 families, 176 species, and 25,720 individuals. Among the 176 species, 62 of the species had not been previously reported in this area. Asellus sp., Diplonychus esakii, and Gyraulus chinensis were the most common species in Upo Wetland. The change patterns of annual species diversity and species richness were calculated by using the average number of monthly occurring species and individuals. Diversity index increased from March to May and decreased after that showing lower diversity indices in July and August. It increased again in September and in October. Richness index showed similar tendency and fell around February and July, followed by a rising tendency around May and October. Correlation and regression analyses were performed with the change of biodiversity and each environmental factor. We found that water temperature have very significant positive correlation with species diversity in spring, and have significant indices in autumn and winter. On the other hand, precipitation showed a significantly negative correlation value in summer and autumn suggesting it has an effect on the community structure of benthic macroinvertebrates.

• 생태와환경
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• 제53권1호
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• pp.102-108
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• 2020

본 연구는 4가지 환경요인에 따른 떡갈나무 유식물의 생육 반응 분석과 생태적 지위폭을 측정하였다. 환경요인은 광, 수분, 토성 그리고 유기물 함량이고 각각 4구배로 처리하였다. 광량이 많을수록 잎 무게, 지상부 무게, 지하부 무게 그리고 식물체 무게가 증가하였다. 수분함량처리구와 토성처리구에서 생육 반응은 차이가 없었다. 유기물 함량이 많을수록 지상부 무게가 증가하였지만, 나머지 형질의 생육 반응의 차이는 없었다. 생태적 지위폭은 광요인에서 0.865, 수분요인에서 0.995, 토성요인에서 0.994 그리고 유기물 함량 요인에서 0.988이었다. 생태학적 지위폭은 수분함량 처리구에서 가장 넓었고 광처리구에서 가장 좁았다. 이는 떡갈나무의 생육 반응이 광량의 양이 많을수록 생육이 좋고, 광에 민감함을 의미한다. 따라서 생육 반응과 생태적 지위폭을 결정짓는 것은 광 요인이다.

• 대한원격탐사학회지
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• 제28권3호
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• pp.307-318
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• 2012

To understand forest structures, the Geoscience Laser Altimeter System (GLAS) instrument have been employed to measure and monitor forest canopy with feasibility of acquiring three dimensional canopy structure information. This study tried to examine the potential of GLAS dataset in measuring forest canopy structures, particularly maximum canopy height estimation. To estimate maximum canopy height using feasible GLAS dataset, we simply used difference between signal start and ground peak derived from Gaussian decomposition method. After estimation procedure, maximum canopy height was derived from airborne Light Detection and Ranging (LiDAR) data and it was applied to evaluate the accuracy of that of GLAS estimation. In addition, several influences, such as topographical and biophysical factors, were analyzed and discussed to explain error sources of direct maximum canopy height estimation using GLAS data. In the result of estimation using direct method, a root mean square error (RMSE) was estimated at 8.15 m. The estimation tended to be overestimated when comparing to derivations of airborne LiDAR. According to the result of error occurrences analysis, we need to consider these error sources, particularly terrain slope within GLAS footprint, and to apply statistical regression approach based on various parameters from a Gaussian decomposition for accurate and reliable maximum canopy height estimation.

• 한국농림기상학회지
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• 제18권4호
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• pp.287-297
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• 2016

본 연구는 안동댐 유역의 주요 수종인 소나무와 신갈나무를 대상으로 임분평균흉고직경과 기상인자의 관계를 규명하고자 수행되었다. 본 연구는 제5차 국가산림자원조사(NFI5)자료 중 임령, 임분평균흉고직경, ha당 본수자료를 사용해 임분단위의 평균흉고직경을 추정하는 모형을 개발하고, NFI6 자료로 검증을 실시하였다. 또한 안동댐 유역 수문기상관측소 6개소와 주변지역의 Automatic Weather System (AWS)의 관측자료에서 취득한 기온 자료를 사용하여 100m 공간해상도를 갖는 상세한 기상자료를 구축하였다. 연구대상지가 복잡한 산악 지형임을 고려하여 기온감률을 적용 후 Inverse Distance Weighted (IDW) 보간법을 적용하여 점 형태의 기상자료를 면 형태로 재구축하였다. 이와 같이 구축된 정밀기상인자와 직경생장간의 관계를 분석하였다. 분석결과 기온 상승은 소나무에 부(-)의 영향을 주며, 참나무류인 신갈나무에는 정(+)의 영향을 주는 것으로 나타나 기존 연구들과 일치하는 결과를 보였다. 본 연구는 수문기상관측소와 AWS 자료를 연계하여 세밀한 기후지도를 구축하고, 이를 통해 유역규모의 임목생장과 기후인자와의 관계를 파악했다는 것에 의미가 있으며 지역규모의 산림변화 예측 및 관리 계획 수립을 지원할 수 있을 것으로 사료된다.

• KIEAE Journal
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• 제3권1호
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• pp.37-44
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• 2003

The purpose of this study is to analyse the attitude of Environmental Friendly Factors for proper environmental friendly model that is adapted to whole life-space. For this study, 25 factors were used from published thesis, reports, and news items. etc.. The results of this study are that our environmental problem is more serious than the world. The respondents prefer natural environmental friendly factors to artificial. Further study of environmental friendly planing will make rapid progress not only housing estates but other building for factory, entertainment establishment, and office building.

• 한국환경교육학회지:환경교육
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• 제23권2호
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• pp.1-15
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• 2010

Ecological restoration aims to reverse the degradation of ecosystems that occurred as humans have affected landscapes. This study was conducted in part of a larger project to develop participatory ecological restoration procedures for disturbed areas in Baigdoodaegahn which is a major mountain range in the Korean Peninsula. The case of alpine farmland at Kangwon-do was selected to apply the theoretical framework of participatory restoration since the nutrient contents in alpine solid under vegetable cultivation degrade water quality in the watershed while farmers in the region are economically struggling due to imports of vegetables from China. The reciprocal model of restoration was applied to cope with interactions between human and ecosystem needs in ecological restoration. A series of environmental education and eco-tourism programs were developed and incorporated into the participatory restoration project to rebuild social-cultural aspects of the community as well as to restore the biophysically disturbed area while meeting both ecological needs and human needs. This study suggests that participatory projects will be more successful when experts support the local residents and citizens in restoration process, when leadership are developed through social learning, and when ecological, financial and social factors of restoration are integratedly considered.

• 한국환경복원기술학회지
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• 제18권4호
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• pp.15-27
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• 2015

The objectives of this study are to analyze the quantitative ecological principal components of Korean Peninsula using the multivariate spatial environmental datasets and to compare the ecological difference between South and North Korea. Ecological maps with GIS(Geographical Information System) are constructed by PCA(Principal Component Analysis) based on seventeen raster(cell based) variables at 1km resolution. Ecological differences between South and North Korea are extracted by Factor Analysis using ecosystem maps masked from Korean ones. Spatial data include SRTM(Shuttle Radar Topography Mission), Temperature, Precipitation, SWC(Soil Water Content), fPAR(Fraction of Photosynthetically Active Radiation) representing for a productivity, and SR(Solar Radiation), which all cover Korean peninsula. When it performed PCA, the first three scores were assigned to red, green, and blue color. This color triplet indicates the relative mixture of the seventeen environmental conditions inside each ecological region. The first red one represents for 'physiographic conditions' worked by high elevation and solar radiation and low temperature. The second green one stands for 'seasonality' caused by seasonal variations of temperature, precipitation, and productivity. The third blue one means 'wetness condition' worked by high value such as precipitation and soil water contents. FA extraction shows that South Korea has relatively warm and humid ecosystem affected by high temperature, precipitation, and soil water contents whereas North Korea has relatively cold and dry ecosystem due to the high elevation, low temperature and precipitation. Results would be useful at environmental planning on inaccessible land of North Korea.

• 한국기후변화학회지
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• 제7권2호
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• pp.193-203
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• 2016

The importance of forecasting agricultural production is receiving attention while climate change is accelerating. This study suggested three types of crop yield forecasting model for major vegetable crops by using downscaled meteorological information of main production area on farmland level, which identified as limitation from previous studies. First, this study conducted correlation analysis with seven types of farm level downscaled meteorological informations and reported crop yield of main production area. After, we selected three types of meteorological factors which showed the highest relation with each crop species and regions. Parameters were deducted from meterological factor with high correlation but crop species number was neglected. After, crop yield of each crops was estimated by using the three suggested types of models. Chinese cabbage showed high accuracy in overall, while the accuracy of daikon and onion was quiet revised by neglecting the outlier. Chili and garlic showed differences by region, but Kyungbuk chili and Chungnam, Kyungsang garlic appeared significant accuracy. We also selected key meteorological factor of each crops which has the highest relation with crop yield. If the factor had significant relation with the quantity, it explains better about the variations of key meteorological factor. This study will contribute to establishing the methodology of future studies by estimating the crop yield of different species by using farmland meterological information and relatively simplify multiple linear regression models.