• Journal of the Korean Association of Geographic Information Studies
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• v.10 no.4
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• pp.22-34
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• 2007

The purpose of this study is to evaluate landscape characteristics of watersheds in the Nakdong River Basin for identifying the groups of watershed with similar landcover patterns by using Geographic Information System and statistical technique. According to the results based on the cluster analysis using cluster analysis tool in the ArcGIS 8.3 program, 22 sub-watersheds were classified into three types; "Forest watershed", "Agriculture watershed", and "Urban watershed". In the forest watershed that has the least potential of ecological disturbances by human, a forest management approach based on geographic conditions and coverage types, etc., should be developed to sustain the ecological and environmental functions of forest. For the agriculture watershed, environmental-friendly agricultural techniques should be performed in the particular enhancement of riparian buffer zone to the prevent direct inflow of soils, fertilizers, and other chemicals into the stream network. Finally, in the urban watershed, an environmental-friendly plan that may increase the ratio of pervious surface and amount of green-space to should be reserved.

• Journal of Climate Change Research
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• v.6 no.1
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• pp.21-31
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• 2015

Various crop models have been extensively used for estimation of the crop yields. Compared to the other models, the EPIC model uses a unified approach to simulate more than 100 types of crops. It has been successfully applied in simulating crop yields for various combinations of weather conditions, soil properties, crops, and management schemes in many countries. The objective of this study was to estimate the rice and maize yield in South Korea using the EPIC model. The input datasets for the 30 types in the 11 categories were created for the EPIC model. The EPIC model simulated rice and maize yields. The performance of the EPIC model was evaluated with the goodness-of-fit measures including Root Mean Square Error (RMSE), Relative Error (RE), Nash-Sutcliffe Efficiency Coefficient (NSEC), Mean Absolute Error (MAE), and Pearson Correelation Coefficient (r). The rice yield showed to more high accuracy than maize yield on four type of method without NSEC. Theses results showed that the EPIC model better simulated rice yields than maize yields. The results suggest that the EPIC crop model can be useful to estimate crop yield in South Korea.

• Journal of Korean Society of Rural Planning
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• v.2 no.1
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• pp.57-68
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• 1996

Village Renewal(Dorferneuerung) Policy Program in Germany, directly originated from Rural Beutification Movement between mid 18C and mid 19C, has several characteristics as follows. First, we can find out the planned approach in land use and settlement reorganization of Pillage Renewal Program. There are three ways to designate the planning area of the village rearrangement project in countryside. One is to designate the detailed B-plan district by urban plan for the village over some size defined legally. Another is to have a living space of settlement be contained in land allotment project area. In this case, residential areas of several villages related to agricultural land consolidation should be simultaneously designated as the project area. The last is only for the built environment focused on the living space. Second, the emphasis in German village encouragement program can be made on the integral approach through which sets of policy programs of the land allotment, the living environment improvement, the physical landscape management and the cultural resources conservation are intensively implemented together. Third, the bottom-up and community participation approach can be greatly stressed on the planning and implementation process, Community participation, subsidy application to local government by residents themselves, community consensus on architectural style and outdoor spatial form, etc. have been recognized as an effective strategy to accomplish the task of village activity promotion.

• Journal of Microbiology and Biotechnology
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• v.22 no.9
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• pp.1208-1213
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• 2012

Microcystis aeruginosa is a cyanobacterium that can form harmful algal blooms (HABs) producing toxic secondary metabolites. We provide here draft genome information of four strains of this freshwater cyanobacterium that was obtained by the Next Generation Sequencing approach to provide a better understanding of molecular mechanisms at the physiological and ecological levels. After gene assembly, genes of each strain were identified and annotated, and a genome database and G-browser of M. aeruginosa were subsequently constructed. Such genome information resources will enable us to obtain useful information for molecular ecological studies with a better understanding of modulating mechanisms of environmental factors associated with blooming.

• Journal of Environmental Science International
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• v.12 no.2
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• pp.185-193
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• 2003

The purpose of this study was attempted to establish concepts of environmental-friendly applications of flood plain and to suggest the application plans. The results of this study can be summarized as follows; 1. Roles of flood plain as biotop (restoration, preservation, and creation of stream corridor ecosystem) should be considered. 2. Application methods considering environmental and scenic values should be reviewed. 3. Application methods reflecting values as regional ecological resources should be planned. 4. Preservation and application should be considered together, and obtaining a means of living for regional residents and creation of economic profits should be considered together. 5. Land application and approach method by usages (integrated management model) should be applied to utilize and manage flood plain efficiently. 6. Flood plain application programs should be designed reflecting opinions of regional residents. 7. With respect to space planning of flood plain, introduction of facilities focused on ecosystem preservation/ecosystem restoration/experiences/observation/learning/culture/ recreation/water purification could be reviewed positively.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.17 no.1
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• pp.173-184
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• 2014

Riparian areas are significant functional grounds for inhabiting ecological system on the river such as the self-regulation of the water quality and the foundation of important corridors. For such functional device to operate, consecutive land purchase scheme that prioritizes targeted areas with high pollutant load rate imposes sustainable development of the ecological riparian belt. The purpose of this study is focused on measuring the methodology for selecting land purchse order before establishing riparian belt in accordance with pollution loading estimation and the basin approach. The Yeongsan and Seomjin river which includes targeted areas of the land purchase have been classified into the large-medium-small(standard basin) influence areas based on their catchment rage, which than sub-divided the research area of Juam lake by 38 small basins and 223 units. Small basins with the high pollution load rates have been assessed as the first prioritized targets. For the second priority, the condition of the point pollutant sources, original area of the targets, original restored area were concerned. The final decision of the land purchase order targeted only those within 50 meter range from the basin. To validate the accumulated data, the on-site investigation went along the targeted zones, which the result shows that all prioritized areas included both point and non-point pollutant sources, and had not a small originally restored areas.

• Journal of Korean Society on Water Environment
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• v.36 no.6
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• pp.611-620
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• 2020

Although process-based models have been a preferred approach for modeling freshwater aquatic systems over extended time intervals, the increasing utility of data-driven models in a big data environment has made the data-driven models increasingly popular in recent decades. In this study, international peer-reviewed journals for the relevant fields were searched in the Web of Science Core Collection, and an extensive literature review, which included total 2,984 articles published during the last two decades (2000-2020), was performed. The review results indicated that the rate of increase in the number of published studies using data-driven models exceeded those using process-based models since 2010. The increase in the use of data-driven models was partly attributable to the increasing availability of data from new data sources, e.g., remotely sensed hyperspectral or multispectral data. Consistently throughout the past two decades, South Korea has been one of the top ten countries in which the greatest number of studies using the data-driven models were published. Among the major data-driven approaches, i.e., artificial neural network, decision tree, and Bayesian model, were illustrated with case studies. Based on the review, this study aimed to inform the current state of knowledge regarding the biogeochemical water quality and ecological models using data-driven approaches, and provide the remaining challenges and future prospects.

• Journal of Ecology and Environment
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• v.43 no.4
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• pp.352-363
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• 2019

Background: Invasive plant species are considered a major threat to biodiversity, ecosystem functioning, and human wellbeing worldwide. Climatically suitable ranges for invasive plant species are expected to expand due to future climate change. The identification of current invasions and potential range expansion of invasive plant species is required to plan for the management of these species. Here, we predicted climatically suitable habitats for 11 invasive plant species and calculated the potential species richness and their range expansions in different provinces of the Republic of Korea (ROK) under current and future climate change scenarios (RCP 4.5 and RCP 8.5) using the maximum entropy (MaxEnt) modeling approach. Results: Based on the model predictions, areas of climatically suitable habitats for 90.9% of the invasive plant species are expected to retain current ecological niches and expand to include additional climatically suitable areas under future climate change scenarios. Species richness is predicted to be relatively high in the provinces of the western and southern regions (e.g., Jeollanam, Jeollabuk, and Chungcheongnam) under current climatic conditions. However, under future climates, richness in the provinces of the northern, eastern, and southeastern regions (e.g., Seoul, Incheon, Gyeonggi, Gyeongsangnam, Degue, Busan, and Ulsan) is estimated to increase up to 292%, 390.75%, and 468.06% by 2030, 2050, and 2080, respectively, compared with the current richness. Conclusions: Our study revealed that the rates of introduction and dispersion of invasive plant species from the western and southern coasts are relatively high and are expanding across the ROK through different modes of dispersion. The negative impacts on biodiversity, ecosystem dynamics, and economy caused by invasive plant species will be high if preventive and eradication measures are not employed immediately. Thus, this study will be helpful to policymakers for the management of invasive plant species and the conservation of biodiversity.

• Management & Information Systems Review
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• v.39 no.3
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• pp.53-82
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• 2020

Daejeon Metropolitan City has the best innovation capability infrastructure (ICT) required for the 4th industry. Nevertheless, there are scattered factors that hinder the industrial ecosystem. In this study, the factor of job creation was approached from the viewpoint of organizational ecology in consideration of regional characteristics during the 4th Industrial Revolution.That is, the case of job creation through overseas ICT-based clusters (or cities) was examined. Then, the factors of organizational ecology, 'niche', 'variation', 'selection', and 'retention' were derived. Through this process, we explored the environment surrounding Daejeon Metropolitan City and benchmarked lessons from existing overseas cluster cases. As a result, we discover the 'niche' of ICT-based job creation and suggest strategies for the 'variation' process to survive in the ecosystem and how to be 'retention' in the ecosystem. n conclusion, the strategy of the organizational ecological approach to establish itself as a metropolitan city as the strength of Daejeon city and the 'innovation hub' that is evident, such as '4th Industrial Revolution City', 'Innovation City Designation', and 'Secure Excellent Capability of SW' Insist on need. Through this study, we hope that there will be a theoretical contribution to the prior research lacking from original research such as the scarcity of ICT-based job creation research in response to the era of the fourth industrial revolution, recognition of the importance of the region in job creation, and presentation of an organizational ecological approach of sustainable clusters.

• Korean Journal of Ecology and Environment
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• v.57 no.2
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• pp.83-91
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• 2024

This study utilizes association rule learning and clustering analysis to explore the co-occurrence and relationships within ecosystems, focusing on the endangered brackish-water snail Clithon retropictum, classified as Class II endangered wildlife in Korea. The goal is to analyze co-occurrence patterns between brackish-water snails and other species to better understand their roles within the ecosystem. By examining co-occurrence patterns and relationships among species in large datasets, association rule learning aids in identifying significant relationships. Meanwhile, K-means and hierarchical clustering analyses are employed to assess ecological similarities and differences among species, facilitating their classification based on ecological characteristics. The findings reveal a significant level of relationship and co-occurrence between brackish-water snails and other species. This research underscores the importance of understanding these relationships for the conservation of endangered species like C. retropictum and for developing effective ecosystem management strategies. By emphasizing the role of a data-driven approach, this study contributes to advancing our knowledge on biodiversity conservation and ecosystem health, proposing new directions for future research in ecosystem management and conservation strategies.