• Proceedings of the Plant Resources Society of Korea Conference
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• 2019.04a
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• pp.77-77
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• 2019

본 연구는 DMZ일원에서 생육하고 있는 자생식물에 대하여 우선순위를 설정하고, DMZ일원 종다양성의 지속적인 건강성 유지 및 보전을 위한 중장기 모니터링 기술을 개발하기 위하여 중점관리종을 선정하고자 하였다. 또한, 이를 토대로 DMZ지역과 북방계지역에 대한 생물자원을 연구할 수 있는 기본틀을 마련하고 생물권보전지역을 지정함으로써 국제교류 및 이해에 기여하는 연구를 수행하였다. 현재 DMZ일원의 관속식물상은 157과 754속 2,047종 12아종 340변종 105품종 총 2,504분류군이 생육하고 있다. 이 중 희귀식물은 총 285분류군, 특산식물은 총 124분류군, 침입외래식물은 130분류군이 분포하고 있다. 전체 2,504분류군 중 희귀식물, 특산식물, 침입외래식물을 대상으로 전국분포정보 및 DMZ일원 분포정보를 수집하였다. 이를 토대로 희귀 특산식물에 해당하는 보호종 선정을 위한 평가지표는 IUCN 적색목록기준 의 국내수준 및 DMZ일원의 희귀 특산식물의 등급을 CR종 3점, EN종 2점 VU종 1점으로 점수를 평가한 뒤 국내 분포 지역수(IUCN red list criteria B)에 대한 가중치를 적용하여 보호우선순위를(I$10,576.9km^2$) 대비 종 분포면적의 0~20% 1점, 21~40% 1.5점, 41~60% 2점, 61~80% 2.5점, 81~100% 3점으로 분포등급을 평가한 뒤 생태교란종(14분류군) 및 산림침입종(181분류군)에 대한 가중치를 적용하여 관리우선순위를(I

• Journal of the Korean Society for Library and Information Science
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• v.41 no.2
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• pp.257-276
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• 2007

The purpose of this study is to design the metadata for sharing and efficiently using the informations of Earth Observations in Korea. Recently the GEO(Group on Earth Observations) has been starting to manage all nation's informations in a way that benefits the environment as well as humanity by taking a pulse of the plants. For that reason, we have to construct the infra-system to manage and integrate the 12 social benefit areas in Korea; disaster, health, energy, climate, water, biodiversity, agriculture, forest, ocean, space information and geographical information system(GIS). But these informations have only been managed with varied metadatas in each area of observation, and then it is difficult to integrate varied informations. In this study, we solve the problem with meta-metadata.

• Journal of Korean Society of Forest Science
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• v.95 no.4
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• pp.435-442
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• 2006

A total of 167 peculiar haplotypes confirmed from 28 cpSR variants that were observed in 19 populations of Japanese red pine in Korea through cpSSR marker analysis. Thirteen individuals that showed identical haplotype dispersed evenly in 10 populations, and the average number of effective haplotype within population was 13.37. Estimate of genetic diversity (He) was 0.987 on the basis of cpSSR haplotype variants that was equivalent to or higher than the estimates reported in other studies on some forest tree species. Estimation of genetic diversity (S.I.) on the basis of cpSSR variants composing each haplotype revealed the highest estimate of 1.109 for the population of Gangwon-Yeongwol and the lowest estimate of 0.411 for the population of Gyeongbuk Mungyeong with the average of 0.887. Most of observed cpSSR variants appeared to exist commonly in 19 populations (97.62%), and genetic differentiation of cpSSR variants among populations was turned out to be weak (${\Phi}_{ST}=0.024$). Relatively fast rate of mutation of cpSSR marker might be a major cause for such weak population differentiation. There was no identical haplotype shared between 39 population pairs of 173 pair-wise population pairs. Estimation of genetic distance among 19 populations on the basis of population pairs was also impossible, that might be resulted from restricted migration among 19 populations. Considering the observed distribution patterns of cpSSR variants in addition to the previous studies on I-SSR variants, informations on the present geographic location and genetic status of populations should be considered together for effective sustainable management of the genetic resources of Japanese red pine in Korea.

• Journal of Korean Society of Forest Science
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• v.109 no.4
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• pp.371-381
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• 2020

The Ministry of Environment (ME) is planning to adopt in 2020 the IUCN regional Red List for "Guidelines for listing and delisting rare & endangered species and management of endangered Species System". The ME designated 377 species of vascular plants on the regional Red List. In a previous study it had been suggested that 103 species from this list are candidates for the regional Red List. With respect to a possible Red List, we assessed 59 species (after excluding 34 additional NA species and ten endemic species). These assessments indicated that 16 species are at the "threatened" level. Of those, one species is Critically Endangered, ten are Endangered, and five are Vulnerable. A further four species are classified as Near Threatened, 30 as Of Least Concern, and nine as Data Deficient. We found that most of the assessments proposed by the Ministry of Environment were not supported by scientific data, including quantitative geographic data (over 70%) in Criteria B. In order to determine the endangered species belonging to the orchid family, it is necessary to obtain records of illegal activities or data on overcollection. The current problem with the Ministry of Environment Red List has been the lack of management of scientific data on species showing a trend in decreasing population in the mid- to long-term; thus, there is a lack of critical resources for policy-makers. The ME legally designated categories and assessment, and the lack of expertise in failing to comply with the legal law by itself. The key to presenting an accurate overview of the state of Korean flora is to fill the information gaps with respect to significant geographical and taxonomical biases in the quality and quantity of data. By regularly updating the qualified data, we will be able to track the changes in the conservation status of the flora and inform the necessary conservation policies.

• Korean Journal of Agricultural and Forest Meteorology
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• v.9 no.1
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• pp.1-16
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• 2007

The use of information on natural resources is indispensable to most agricultural activities to avoid disasters, to improve input efficiency, and to increase lam income. Most information is prepared and managed at a spatial scale called the "Hydrologic Unit" (HU), which means watershed or small river basin, because virtually every environmental problem can be handled best within a single HU. South Korea consists of 840 such watersheds and, while other watershed-specific information is routinely managed by government organizations, there are none responsible for agricultural weather and climate. A joint research team of Kyung Hee University and the Agriculture, forestry and Fisheries Information Service has begun a 4-year project funded by the Ministry of Agriculture and forestry to establish a watershed-specific agricultural weather information service based on "high definition" digital climate maps (HD-DCMs) utilizing the state of the art geospatial climatological technology. For example, a daily minimum temperature model simulating the thermodynamic nature of cold air with the aid of raster GIS and microwave temperature profiling will quantify effects of cold air drainage on local temperature. By using these techniques and 30-year (1971-2000) synoptic observations, gridded climate data including temperature, solar irradiance, and precipitation will be prepared for each watershed at a 30m spacing. Together with the climatological normals, there will be 3-hourly near-real time meterological mapping using the Korea Meteorological Administration's digital forecasting products which are prepared at a 5 km by 5 km resolution. Resulting HD-DCM database and operational technology will be transferred to local governments, and they will be responsible for routine operations and applications in their region. This paper describes the project in detail and demonstrates some of the interim results.

• Journal of the Korean Association of Geographic Information Studies
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• v.4 no.3
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• pp.41-50
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• 2001

Recently our nature of environment has destroyed by a large scaled forest fire. In order to manage these forest fires, forecasting of it is considered as the most important thing. In this paper the database related to forest fire was first built and the efficient forest fire information management system was implemented by using GIS. The main goal of this system is that forest fire managers have GUI(graphic user interface) to analyze data of forest fire effectively and update and retrieve information in database. For the efficient GUI, this system is built in Visual Basic 6.0 and Map Object 2.0. Map Object 2.0 is combined to have various and powerful functionality of GIS analysis as component ware. The Oracle 8.0 is used as DBMS in this study to manage all the spatial and attributed information in database effectively. In the future, this system will play a critical role as making a decision supporting system for scientific forest fire protection and help real time forest fire hazard information offers service for public welfare administration business management.

• Korean Journal of Remote Sensing
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• v.15 no.1
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• pp.9-20
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• 1999

The use of climatic information is essential in the industial society. More specialized weather servies are required to perform better industrial acivities including agriculture. Especially, crop models require daily weather data of crop growing area or cropping zones, where routine weather observations are rare. Estimates of the spatial distribution of daily climates might complement the low density of standard weather observation stations. This study was conducted to estimate the spatial distribution of daily minimum and maximum temperatures in Korean Peninsula. A topoclimatological technique was first applied to produce reasonable estimates of monthly climatic normals based on 1km $\times$ 1km grid cell over study area. Harmonic analysis method was then adopted to convert the monthly climatic normals into daily climatic normals. The daily temperatures for each grid cell were derived from a spatial interpolation procedure based on inverse-distance weighting of the observed deviation from the climatic normals at the nearest 4 standard weather stations. Data collected from more than 300 automatic weather systems were then used to validate the final estimates on several dates in 1997. Final step to confirm accuracy of the estimated temperature fields was comparing the distribution pattern with the brightness temperature fields derived from NOAA/AVHRR. Results show that differences between the estimated and the observed temperatures at 20 randomly selected automatic weather systems(AWS) range from -3.$0^{\circ}C$ to + 2.5$^{\circ}C$ in daily maximum, and from -1.8$^{\circ}C$ to + 2.2$^{\circ}C$ in daily minimum temperature. The estimation errors, RMSE, calculated from the data collected at about 300 AWS range from $1.5^{\circ}C$ to 2.5$^{\circ}C$ for daily maximum/minimum temperatures.

• Korean Journal of Remote Sensing
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• v.35 no.2
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• pp.299-316
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• 2019

The purpose of this study was to analyze landslide susceptibility in the Pyeongchang area using Weight of Evidence (WOE) and Evidential Belief Function (EBF) as probability models and Artificial Neural Networks (ANN) as a machine learning model in a geographic information system (GIS). This study examined the widespread shallow landslides triggered by heavy rainfall during Typhoon Ewiniar in 2006, which caused serious property damage and significant loss of life. For the landslide susceptibility mapping, 3,955 landslide occurrences were detected using aerial photographs, and environmental spatial data such as terrain, geology, soil, forest, and land use were collected and constructed in a spatial database. Seventeen factors that could affect landsliding were extracted from the spatial database. All landslides were randomly separated into two datasets, a training set (50%) and validation set (50%), to establish and validate the EBF, WOE, and ANN models. According to the validation results of the area under the curve (AUC) method, the accuracy was 74.73%, 75.03%, and 70.87% for WOE, EBF, and ANN, respectively. The EBF model had the highest accuracy. However, all models had predictive accuracy exceeding 70%, the level that is effective for landslide susceptibility mapping. These models can be applied to predict landslide susceptibility in an area where landslides have not occurred previously based on the relationships between landslide and environmental factors. This susceptibility map can help reduce landslide risk, provide guidance for policy and land use development, and save time and expense for landslide hazard prevention. In the future, more generalized models should be developed by applying landslide susceptibility mapping in various areas.

• Journal of Korean Society of Forest Science
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• v.99 no.6
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• pp.808-815
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• 2010

This study is to give informations about management Situations and investment returns to someone who will newly cultivate schizandra or expand area of culture. This study used IRR, B/C Ratio and NPV for beneficial analysis. We surveyed fifty one among schizandra cultivation farmhouses in chief producing districts Gangwon Inje, Gyeongbuk Munkyung, Kyungnam Sancheong and Jeonnam Whasoon in Korea from May till September in 2009. So this study surveyed about inputted labors and materials, land price and etc. by working process to calculate producing and operating cost. Fruits of schizandra are sold from 5,000 won to 6,000 won per kg at locals. And IRR(Internal Rate of Returns), B/C Ratio and incomes ratio is calculated by three senarios 5,000 won, 5,500 won and 6,000 won per kg at locals. Discount rate is 3.00%. As the result of this study IRRs are -16.00%, -6.91%, 0.40% one after another and B/C Ratios are 0.81, 0.89, 0.97 one after another. And schizandra cultivation isn't profitable. When price of schizandra fruits is 6,200 won per kg, IRR is 3.00% and B/C Ratio is 1.00. Therefore, if price of schizandra fruits is over 6,200 won per kg, we judge that it is profitable. And income ratio is 23.9% on 6,200 won per kg.

• Journal of Korean Society of Forest Science
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• v.94 no.4 s.161
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• pp.209-213
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• 2005

In order to provide the molecular genetic information necessary for conservation of bog whortleberry (Vaccinium uliginosum L), one of the rare species in Korea, I-SSR analysis was performed on two populations on Mt. Halla and Mt. Seorak. A total of 68 I-SSR products were observed, and higher level of genetic diversity was observed in Mt. Halla population (S.I.=0.539) than in the Mt. Seorak population (S.I,=0.401). Level of genetic diversity in this species was relatively higher than those in other rare species analysed with I-SSR marker. From the results of AMOVA, exceptionally large proportion of genetic diversity (33.5%) was resulted from genetic difference between two populations, and only 66.5% of the genetic variation was allocated in common among individuals within each population, compared with the results in other long-lived woody species. This remarkably high degree of genetic heterogeneity existed between Mt. Halla and Mt. Seorak populations might suggest that they might be originated from the independent progenitors before the post glacier ages, respectively, and/or that they undergone random genetic drift respectively due to geographical isolation resulted from dramatic changes in environmental conditions after the post glacier ages.