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http://dx.doi.org/10.13087/kosert.2018.21.3.67

Social Network Analysis on the Research Trend of Korean Ecological Restoration Technology  

Kim, Bo-Mi (Interdisciplinary Program in Landscape Architecture, Seoul National University)
Lee, Dong-Kun (Department of Landscape Architecture and Rural System Engineering, Seoul National University)
Publication Information
Journal of the Korean Society of Environmental Restoration Technology / v.21, no.3, 2018 , pp. 67-81 More about this Journal
Abstract
We tried to analyze qualitatively a total of 110 the research papers which were related domestic ecological restoration technologies about 15 years through semantic network analysis in social network analysis. In order to understand the research trends of ecological restoration technologies, we analyzed the degree centrality and betweenness centrality of the Stream/Wetland, Slope, Soil/Others fields selected as Word Cloud. As a result, ecological restoration technologies have been changed. They were focused on the restoration of species or their habitats in the past. However, they have been evolved into the detailed systems to respond in unpredictable natural disasters and climate change, high-resolution image implementation technology to accurately grasp the practical environment and methods related to environmental restoration for human in urban ecosystem. In the future, investment and technology for the ecosystem restoration field will be continuously demanded for the symbiosis of human beings and species in the damaged ecosystem. Therefore, the research trend of ecological restoration technologies should be provided as reliable guidelines when decision makers establish the policy direction or when researchers select their subjects.
Keywords
Semantic Network Analysis; Wetland; Stream; Slope; Forest; Soil;
Citations & Related Records
Times Cited By KSCI : 12  (Citation Analysis)
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