• Korean Journal of Ecology and Environment
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• v.50 no.1
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• pp.116-125
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• 2017

Alpine plants with a scarcity of pollinators in harsh environments have been believed to undergo selfing for reproductive assurance; however, contradictory evidence is also available. Snowmelt regimes in alpine areas function to change life history characteristics of alpine plants such as flowering time and duration; yet the effects of snowmelt regimes have never been tested in alpine plants in Korea. This study was conducted to investigate the dichogamy, mating systems, and flowering characteristics of Megaleranthis saniculifolia populations [early and late snowmelt plots (ESP and LSP, respectively)] in a subalpine area of Sobaeksan Mountain in Korea. M. saniculifolia exhibited incomplete protogyny in that despite early maturation of pistils, maturation times of pistils and stamens within flowers were partly overlapped. Control and hand-outcrossing treatments produced significantly higher number of follicles and seeds per flower than autonomous and hand-selfing treatments. Based on the aggregate fruit set, the auto-fertility index (AI) and self-compatibility index (SI) were 0.33 and 0.50, respectively. Snowmelt occurred 10 days earlier in ESP than in LSP, thereby ESP and LSP showed distinct differences with regard to flower longevity and season, but showing no difference in peak flowering dates. We concluded that M. saniculifolia is an incomplete protogynous and largely outcrossing plant requiring pollinator service. Temporal variation in snowmelt time and subsequent changes in flowering characteristics under climate change may further threaten the population persistence of M. saniculifolia which has already been designated as endangered species in Korea.

• Korean Journal of Plant Resources
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• v.28 no.1
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• pp.35-63
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• 2015

A floristic, field research was conducted from March 2005 to October 2012 the Woraksan National Park (N $36^{\circ}46^{\prime}{\sim}36^{\circ}59^{\prime}$, E $128^{\circ}02^{\prime}{\sim}128^{\circ}19^{\prime}$) to characterize the flora of the region. Especially, we divided the surveyed region into nine representative collection areas based on floristic components were compared and analyzed. This field study discovered significant plants in various categories. The 41 surveys revealed that the vascular plants in this region comprised 815 taxa: 116 families, 429 genera, 717 species, 4 subspecies, 78 varieties and 16 forms. In this study, 80 taxa were firstly recorded from this region. Korean endemic plants numbered 22 taxa, and the fifteen taxa rare plants designated by Korean Forest Service as were found in this region. The taxa in the category II of rare and endangered plants and the taxa with the higher rank than the third degree among the floristic regional indicator plants designated by Korean Ministry of Environment were one and 56, respectively. From a geographical perspective, limited distributions of Matteuccia struthiopteris, Spiraea trichocarpa, and Aster tataricus at a latitudes higher than that of Woraksan National Park. Moreover, this study has confirmed that the Woraksan National Park is the species diversity center for Asarum koreanum, Elsholtzia angustifolia, and Allium linearifolium in the central province of the Korean peninsula. Inaddition, the naturalized plants of 54 taxa were recorded.

• Journal of the Korean Association of Geographic Information Studies
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• v.25 no.4
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• pp.222-237
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• 2022

This study was performed to predict change of forestland area in future to 2050 based on System Dynamics Model which is based on feedback loop by causal relationship. As forestland area change in the future depends on potential forestland conversion demands, each demand type of forestland conversion such as agricultural, industrial, public and residential/commercial use was modeled using annual GDP, population, number of household, household construction permission area (1981~2019). In results, all of conversion demands would have continuously decreased to 2050 while residential and commercial land would be reduced from 2034. Due to such shortage, eventually, total of forestland in South Korea would have decreased to 6.18 million ha when compared to current 6.29 million ha. Moreover, the forestland conversion to other use types must be occurred continuously in future because most of forestland is owned privately in South Korea. Such steady decrement of forestland area in future can contribute to the shortage of carbon sink and encumber achievement of national carbon-neutral goal to 2050. If forestland conversion would be occurred inevitably in future according to such change trends of all types, improved laws and polices related to forestland should be prepared for planned use and rational conservation in terms of whole territory management. Therefore, it is needed to offer sufficient incentive, such as tax reduction and payment of ecosystem service on excellent forestland protection and maintenance, to private owners for minimizing forestland conversion. Moreover, active afforestation policy and practice have to be implemented on idle land for reaching national goal 'Carbon Neutral to 2050' in South Korea.

• Journal of the Korea Society of Computer and Information
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• v.29 no.9
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• pp.125-136
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• 2024

This study presents an automated Python algorithm for analyzing rainfall characteristics to establish critical rainfall thresholds as part of a landslide early warning system. Rainfall data were sourced from the Korea Meteorological Administration's Automatic Weather System (AWS) and the Korea Forest Service's Automatic Mountain Observation System (AMOS), while landslide data from 2020 to 2023 were gathered via the Life Safety Map. The algorithm involves three main steps: 1) processing rainfall data to correct inconsistencies and fill data gaps, 2) identifying the nearest observation station to each landslide location, and 3) conducting statistical analysis of rainfall characteristics. The analysis utilized power law and nonlinear regression, yielding an average R² of 0.45 for the relationships between rainfall intensity-duration, effective rainfall-duration, antecedent rainfall-duration, and maximum hourly rainfall-duration. The critical thresholds identified were 0.9-1.4 mm/hr for rainfall intensity, 68.5-132.5 mm for effective rainfall, 81.6-151.1 mm for antecedent rainfall, and 17.5-26.5 mm for maximum hourly rainfall. Validation using AUC-ROC analysis showed a low AUC value of 0.5, highlighting the limitations of using rainfall data alone to predict landslides. Additionally, the algorithm's speed performance evaluation revealed a total processing time of 30 minutes, further emphasizing the limitations of relying solely on rainfall data for disaster prediction. However, to mitigate loss of life and property damage due to disasters, it is crucial to establish criteria using quantitative and easily interpretable methods. Thus, the algorithm developed in this study is expected to contribute to reducing damage by providing a quantitative evaluation of critical rainfall thresholds that trigger landslides.

• Journal of Species Research
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• v.2 no.2
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• pp.203-222
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• 2013

The district of Ganghwa-gun in the western coast (Seohae) of the Korea is consisted of several islands, Ganghwa-do, Seokmo-do, Gyodong-do, Jumun-do, Boreum-do, Seogeom-do and Donggeom-do. Since several islands of them were connected to mainland of Korea by bridges, the islands attract a lot of tourists from Seoul, Incheon and Gyeonggi-do areas. Construction of new roads, pensions, resort areas and restaurants provided economical benefits to local residents while natural vegetation of these islands has deteriorated continuously. Before biodiversity of vascular plants in these regions is damaged seriously by human impacts, it is needed to conserve original vegetation of the islands for restoration and monitoring in the future. Therefore, the primary purpose of the study is to clarify the flora of Donggeom-do, belonging to Ganghwa-gun. From the 15 times of field trips to the island, we have collected a number of vascular plants, 512 taxa in total, including 110 families, 329 genera, 449 species, six subspecies, 52 varieties, four forms and one hybrid. Of 512 taxa investigated, we have identified 12 taxa to be endemic to Korea. Six taxa were endangered or rare species which were designated by the Ministry of Environment and Korea Forest Service, respectively. 25 taxa were recognized as floristic regional indicator species designated specially by the Ministry of Environment. Seven species have shown their northern or southern distributional limit ranges, and 29 taxa were recognized as halophytes. The naturalized plants were identified as 55 taxa, and their naturalization ratio was 10.7%.

• Economic and Environmental Geology
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• v.57 no.2
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• pp.119-128
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• 2024

In Australia & Canada, architectural rock and aggregate are one of the mineral resources, and related data and information provided integrated with them. In these countries, the provided data and information, through the information system of local government and national geological survey organizations, are interactive maps, geological and thematic maps, exploration data set, 3 dimension geological models, minning rights status, survey reports and related papers etc. However, in case of Korea, aggregate and architectural rock are not assigned as the kind of mineral resources in accordance to domestic mining law, and related geological data and information are not provided from comprehensive mineral information system established in public geoscience organizations. And the administrative and informative management are conducted separately through the different governmental organizations such as Ministry of construction, Korea forest service, geoscience institute & Korea Mine & Reclamation Corporation. For securing the supply of architectural rock and aggregate resources, and for the convenience of their development & utilization, the unified information system and governance reform for the related industry is needed.

• Journal of the Korean Institute of Landscape Architecture
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• v.49 no.4
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• pp.15-29
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• 2021

The study aims to grasp the perception and appraisal of urban park users through text analysis. This study used Google review data provided by Google Maps. Google Maps Review is an online review platform that provides information evaluating locations through social media and provides an understanding of locations from the perspective of general reviewers and regional guides who are registered as members of Google Maps. The study determined if the Google Maps Reviews were useful for extracting meaningful information about the user perceptions and appraisals for parks management plans. The study chose three urban parks in Seoul, South Korea; Seoul Forest, Boramae Park, and Olympic Park. Review data for each of these three parks were collected via web crawling using Python. Through text analysis, the keywords and network structure characteristics for each park were analyzed. The text was analyzed, as were park ratings, and the analysis compared the reviews of residents and foreign tourists. The common keywords found in the review comments for the three parks were "walking", "bicycle", "rest" and "picnic" for activities, "family", "child" and "dogs" for accompanying types, and "playground" and "walking trail" for park facilities. Looking at the characteristics of each park, Seoul Forest shows many outdoor activities based on nature, while the lack of parking spaces and congestion on weekends negatively impacted users. Boramae Park has the appearance of a city park, with various facilities providing numerous activities, but reviewers often cited the park's complexity and the negative aspects in terms of dog walking groups. At Olympic Park, large-scale complex facilities and cultural events were frequently mentioned, emphasizing its entertainment functions. Google Maps Review can function as useful data to identify parks' overall users' experiences and general feelings. Compared to data from other social media sites, Google Maps Review's data provides ratings and understanding factors, including user satisfaction and dissatisfaction.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.16 no.2
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• pp.63-74
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• 2013

This study suggests that some of the negative arguments related to naturalized plants raised in academic discussions are unreasonable through an analysis of trends in the academia's research on naturalized plants in South Korea. A total of 117 academic papers related to "naturalized plants" on the Korean Studies Information Service System (KISS) website were re-classified by space, the number of vascular plant species, the number of naturalized plant species, naturalization index (NI), and urbanization index (UI). Correlation between human interference and naturalized plant distribution, and between sizes of conservation areas and naturalized plant distribution were analyzed. According to the results, while there was a tendency between urban population and UI ($r^2$ = 0.70, p = .000), the number of visitors in national parks had no relation to either the NI or the UI (r = 0.028 and r = 0.013, respectively). Likewise, there was no correlation between national parks or conservation areas and naturalized plant distribution (r = 0.014, r = 0.17, respectively). The average NI and the UI of forest areas were approximately twice as low as those of national parks. In estimated regression equation, when one hypothesizes that the entire 4,952 taxa of plants growing in South Korea, the number of naturalized plants, combining paleo-naturalized plants and neo-naturalized plants, amounted to 2,398 taxa, 48.43%. In the academia, Korean Endemic Plants are less than one quarter of 4,952 taxa. Such results signify that, contrary to discussions in the academia, it is meaningless to distinguish between naturalized plants and native plants. In certain aspects, academic discussions on naturalized plants in Korea have proceeded in a manner similar to cultural exclusion by mono-culturalism in a multi-cultural environment.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.15 no.1
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• pp.35-51
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• 2012

The vascular plants in Bukhansan Dulegil, Jingwan-dong Wetland and Bukhan-dong Cheolgeoji were listed 432 taxa (8.9% of all 4,881 taxa of vascular plants); 95 families, 274 genera, 345 species, 2 subspecies, 69 varieties and 16 forms. Divided into woody plants were 145 taxa (33.6%) and herbaceous plants were 287 taxa (66.4%). The Bukhansan Dulegil were listed (Myeongsang-gil 159 taxa, Huingureum-gil 227 taxa, Wooyiryeong-gil 216 taxa, Banghakdong-gil 139 taxa, Boru-gil 199 taxa), Jingwan-dong Wetland were listed 147 taxa and Bukhan-dong Cheolgeoji were listed 129 taxa. Based on the list of rare plants by Korea Forest Service and Korea National Arboretum were Viola albida Palibin (Violaceae), Iris minutiaurea Makino (Iridaceae) and Korea National Arboretum were endemic plants, Philadelphus schrenkii Rupr. var. schrenkii (Saxifragaceae), Weigela subsessilis L.H. Bailey (Caprifoliaceae). Based on the list of floristic regional indicator plants by Korean Ministry of Environment were total 22 taxa; Wisteria floribunda DC. for. floribunda in class IV, 3 taxa (Betula davurica Pall., Mukdenia rossii Koidz., Glechoma grandis Kuprian., etc.) in class III, 5 taxa (Acer triflorum Kom., Viola orientalis W. Becker, Heloniopsis koreana Fuse & Al., etc.) in class II and 13 taxa (Camptosorus sibiricus Rupr., Clematis patens C. Morren & Decne., Cirsium pendulum Fisch. ex DC., etc.) in class I. Based on the list of naturalized plants, 16 families, 35 genera, 37 species, 3 varieties, 1 form, total 41 taxa (Rumex crispus L., Abutilon theophrasti Medicus, Panicum dichotomiflorum Michx. etc.), naturalization rate was 9.5% of all 432 taxa of vascular plants and urbanization index was 13.3% of all 309 taxa of naturalized plants. Ecosystem disturbing wild plants were 5 taxa; Rumex acetocella L., Ambrosia artemisiifolia L., Ambrosia trifida L. var. trifida, Eupatorium rugosum Houtt., Aster pilosus Willd.

• Korean Journal of Remote Sensing
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• v.36 no.5_4
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• pp.1179-1194
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• 2020

This study investigates the feasibility of three algorithms, K-Nearest Neighbors (K-NN), Random Forest (RF) and Neural Network (NN), for estimating the air temperature of an unobserved area where the weather station is not installed. The satellite image were obtained from Landsat-8 and MODIS Aqua/Terra acquired in 2019, and the meteorological ground weather data were from AWS/ASOS data of Korea Meteorological Administration and Korea Forest Service. In addition, in order to improve the estimation accuracy, a digital surface model, solar radiation, aspect and slope were used. The accuracy assessment of machine learning methods was performed by calculating the statistics of R² (determination coefficient) and Root Mean Square Error (RMSE) through 10-fold cross-validation and the estimated values were compared for each target area. As a result, the neural network algorithm showed the most stable result among the three algorithms with R² = 0.805 and RMSE = 0.508. The neural network algorithm was applied to each data set on Landsat imagery scene. It was possible to generate an mean air temperature map from June to September 2019 and confirmed that detailed air temperature information could be estimated. The result is expected to be utilized for national disaster safety management such as heat wave response policies and heat island mitigation research.