Journal of the Korean Society of Environmental Restoration Technology (한국환경복원기술학회지)

The Korea Society of Environmental Restoration Technology (한국환경복원기술학회)
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Text Analysis on the Research Trends of Nature Restoration in Korea

텍스트 분석을 활용한 국내 자연환경복원 연구동향 분석

  • Lee, Gil-sang (Korea Environment Institute, Division for Environmental Planning) ;
  • Jung, Yee-rim (Seoul National University, Graduate School of Environmental Studies) ;
  • Song, Young-keun (Seoul National University, Graduate School of Environmental Studies) ;
  • Lee, Sang-hyuk (Korea Environment Institute, Division for Environmental Planning) ;
  • Son, Seung-Woo (Korea Environment Institute, Division for Environmental Planning)
  • Received : 2024.01.23
  • Accepted : 2024.02.28
  • Published : 2024.04.30
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Abstract

As a global response to climate and biodiversity challenges, there is an emphasis on the conservation and restoration of ecosystems that can simultaneously reduce carbon emissions and enhance biodiversity. This study comprised a text analysis and keyword extraction of 1,100 research papers addressing nature restoration in Korea, aiming to provide a quantative and systematic evaluation of domestic research trends in this field. To discern the major research topics of these papers, topic modeling was applied and correlations were established through network analysis. Research on nature restoration exhibited a mainly upward trend in 2002-2022 but with a slight recent decline. The most common keywords were "species," "forest," and "water". Research topics were broadly classified into (1) predictions of habitat size and species distribution, (2) the conservation and utilization of natural resources in urban areas, (3) ecosystems and landscape managements in protected areas, (4) the planting and growth of vegetation, and (5) habitat formation methods. The number of studies on nature restoration are increasing across various domains in Korea, with each domain experiencing professional development.

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References

  1. Blei, D.M..Ng. A.Y. and Jordan M.I. (2003). Latent Dirichlet Allocation. The Journal of Machine Learning Research 3(null): 993- 1022.
  2. Case, M.F., and Lauren M.H. (2021). Multiple Meanings of History in Restoration. Restoration Ecology 29(5): e13411.
  3. Choi, Y.D. (2004). Theories for Ecological Restoration in Changing Environment: Toward 'Futuristic' Restoration. Ecological Research 19(1): 75-81.
  4. Choi, Y.D. (2007). Restoration Ecology to the Future: A Call for New Paradigm. Restoration Ecology 15(2): 351-353.
  5. Choi, Y.D. et al. (2008). Ecological Restoration for Future Sustainability in a Changing Environment. Ecoscience 15(1): 53-64.
  6. Convention on Biological Diversity. (2022). 15/4. Kunming-Montreal Global Biodiversity Framework. Decision Adopted by the Conference of the Parties to the Convention on Biological Diversity: 1-15.
  7. Eggermont, H. et al. (2015). Nature-Based Solutions: New Influence for Environmental Management and Research in Europe. GAIA - Ecological Perspectives for Science and Society 24(4): 243-248.
  8. Hobbs, R.J. et al., (2011). Intervention Ecology: Applying Ecological Science in the Twenty-First Century. BioScience 61(6): 442-450.
  9. Jeong, H.J. and Yang, C.H. (2018). Analysis of Trends in Resilience Research in Public Administration and Policy Studies : Focusing on Keyword Network Analysis, Korean Journal of Policy Analysis and Evaluation. 28 (3): 49-74.
  10. Jhang, S.E. et al., (2015). Themes and Trends in Offshore Industry Research through Incorporation of Corpus and Language Network Analysis : A Social Network Analysis of Author Keywords in English Academic Articles. The Korean Association of Language Sciences 22 (3): 171-198. (in Korean with English abstract)
  11. Jo, D.G. (2017). Ecological restoration Plan & Design Volume I : Ecological Restoration Theory, Law, and Institutions. (in Korean) Korea Citation Index. Homepage. (https://www.kci.go.kr/kciportal/aboutKci.kci)
  12. Kim, B.M. and Lee, D.K. (2018). Social Network Analysis on the Research Trend of Korean Ecological Restoration Technology. Journal of the Korea Society of Environmental Restoration Technology 21(3): 67-81.
  13. Kim, B.S. et al. (2015). Global Research Trends on Geospatial Information by Keyword Network Analysis. Spatial Information Research 23(1): 69-77.
  14. Kim, N.G. et al., (2017). Investigations on Techniques and Applications of Text Analytics. The Journal of Korean Institute of Communications and Information Sciences 42(2): 471-492.
  15. Kim, N.Y..Nam, H.J. and Park, Y.S. (2023). A Text Mining Study on Endangered Wildlife Complaints - Discovery of Key Issues through LDA Topic Modeling and Network Analysis -. Journal of the Korea Society of Environmental Restoration Technology 26(6): 205-220.
  16. Kim, Y.H. (2020). Understanding and applying social network analysis techniques: network structure, clustering, and QAP. Korea Institute of Public Administration Research Form 34: 58-68. (in Korean)
  17. Korea Association of Ecological Restoration, (2023). ESG Biodiversity Project Guidebook. (in Korean)
  18. Kwon, Y.J. and Cha, M.H. (2016). A Study on the Research Trend of Resilience using Keyword Network Analysis. Korean Journal of Counseling 17 (6): 105-121.
  19. Lee, B.J. et al., (2019). The Tresnds of Artiodactyla Researches in Korea, China and Japan using Text-mining and Co-occurrence Analysis of Words. Korean Journal of Environment and Ecology 33(1): 9-15.
  20. Lee, J.K. and Ha, M.S. (2012). Semantic Network Analysis of Science Gifted Middle School Students'Understanding of Fact, Hypothesis, Theory, Law, and Scientificness. J Korea Assoc. Sci. Edu, 32(5): 823-840
  21. Lee, J.K. and Lee, C.B. (2021). A study on domestic research trends (2001-2020) of forest ecology using text mining. Journal of Korean Society of Forest Science 110(3): 308-321.
  22. Lee, J.K..Sim, H.S. and Lee, C.B. (2022). Study on Research Trends (2001~2020) of the Baekdudaegan Mountains with Big Data Analyses of Academic Journals. Journal of Korean Society of Forest Science 111(1): 36-49.
  23. Lee, J.W. and Park, C. (2022). Estimation of non-point pollution reduction effect of Haean Catchment by application of Nature-based Solution. Journal of the Korea Society of Environmental Restoration Technology 25(3): 49-62.
  24. Lee, M.H..Ying.T.W., and Chin.C.T. 2009. Research Trends in Science Education from 2003 to 2007: A Content Analysis of Publications in Selected Journals. International Journal of Science Education 31(15): 1999-2020. https://doi.org/10.1080/09500690802314876
  25. Lee, S.I. et al., (2018). Quantitative Analysis of Research Trends in Korean E-Government Using Text Mining and Network Analysis Methods. Informatization Policy 25(4): 84-107. https://doi.org/10.22693/NIAIP.2018.25.4.084
  26. Lee, S.S. (2012). Network Analysis Methodology (in Korean)
  27. Lee, T.K. (2020). Domestic Research Trend of Internet of Things based on Keyword Frequency and Centrality Analysis. The Journal of the Korea Contents Association 20(12): 23-35.
  28. Lim, J.H..Cho C.J., and Kim J.H., (2022). A Study on the Development of the School Library Book Recommendation System Using the Association Rule. Journal of the Korean Society for Information Management 39(3): 1-22.
  29. Lima, A.T. et al., (2016). The legacy of surface mining: Remediation, restoration, reclamation and rehabilitation. Environ. Sci. Policy 66, 227-233. https://doi.org/10.1016/j.envsci.2016.07.011
  30. Ministry of Environment. (2021a). Master Plans for Nature Restoration. (in Korean)
  31. Ministry of Environment. (2021b). Nature-based Solution Strategy for Climate Change Mitigation and Adaptation. (in Korean)
  32. Ministry of Environment. (2023). 5th National Biodiversity Strategy Action Plan. (in Korean)
  33. Pape, T. (2020). Futuristic Restoration: An Oxymoronic Paradigm for an Idiosyncratic Place in Time. Restoration Ecology 28(6): 1321-1323.
  34. Pape, T. (2022). Futuristic Restoration as a Policy Tool for Environmental Justice Objectives. Restoration Ecology 30(3): e13629.
  35. Park, S.J. and Na, J.M. (2016). A Social Network Analysis on the Research Trend of Korean Rural Development : Focus on the Centrality Structure Analysis of Key words. Journal of the Korean Regional Science Association. 32(3): 29-43. (in Korean with English summary)
  36. Ryu, G.Y..Mun, Y.S. and Choi, S.D., (2006). A Case Study on Data Mining Techniques. Proceedings of Joint Conference of Korean Data And Information Science Society and The Korean Data Analysis Society: 109-120.
  37. Shi, X. et al., (2022). Dryland Ecological Restoration Research Dynamics: A Bibliometric Analysis Based on Web of Science Data. Sustainability 14(16): 9843.
  38. Society for Ecological Restoration International. (2004). The SER International Primer on Ecological Restoration.
  39. Wei, X. et al., (2022). Progress of Ecological Restoration Research Based on Bibliometric Analysis. International Journal of Environmental Research and Public Health 20(1): 520.
  40. Yi, I. and Na, E. (2018). Unstructured data analysis and visualization "Korean Journal of Industrial and Organizational Psychology(2010~2017)". Korean Journal of Industrial and Organizational Psychology 31(2): 499-518.
  41. Yoo, J.H..Jeon E.C., and Kim, H.N. (2019). Study of Research Trends in Climate Change using Text Analysis: Focusing on Journal of Climate Change Research. Journal of Climate Change Research 10(3): 161-172.