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언어네트워크 분석을 이용한 국내·외 지역생물다양성 전략 분석

Analysis of Domestic and Foreign Local Biodiversity Strategies and Action Plan (LBSAP) using Semantic Network Analysis

  • 이현재 (부경대학교 생태공학과) ;
  • 성기준 (부경대학교 생태공학과)
  • Lee, Hyeon-jae (Department of Ecological Engineering, Pukyoung National University) ;
  • Sung, Kijune (Department of Ecological Engineering, Pukyoung National University)
  • 투고 : 2017.10.24
  • 심사 : 2018.02.08
  • 발행 : 2018.02.28

초록

전 지구적인 문제로 부상하고 있는 생물다양성 훼손에 대처하기 위하여 여러 국가에서 국가생물 다양성전략 및 지역차원에서의 실천을 위한 지역생물다양성전략을 수립하고 있다. 본 연구에서는 국내 8개 지역과 국외 41개 지역에서 수립된 지역생물다양성전략을 언어네트워크분석법을 이용하여 국내 외 전략수립 특성을 파악하였다. 연구결과 지역생물다양성전략에 있어서 국내와 국외의 차이가 있음을 보여주었는데, 보전과 관리가 국내 외에서 가장 많이 사용된 핵심어로 나타났으나 비전, 목표부문, 전략부문, 실천과제 등 각 전략체계에서 우선적으로 사용된 핵심어들은 다소 다른 것으로 나타났다. 네트워크 분석 결과 국내가 국외와 비교하여 더 세분화된 분산형 네트워크를 가지고 있는 것에 반해, 국외의 경우 좀 더 포괄적이고 통합적으로 구성된 밀집형의 네트워크를 가진 것을 알 수 있었다. 이러한 지역생물다양성전략의 차이는 생물다양성의 위협요인이나 문제인식 혹은 지역상황의 차이 등에 의한 것으로 판단된다. 본 연구결과는 향후 국내 지역생물다양성전략의 수립이나 생물다양성협약의 비전을 달성하기 위한 지역적 역할을 평가하는데 도움이 될 수 있을 것으로 기대된다.

The loss of biodiversity has become a global issue. In order to cope with this problem, national biodiversity strategies and action plan (NBSAP) at national level as well as local biodiversity strategies and action plan (LBSAP) at local level have been established in many countries. In this study, we analyzed 8 domestic LBSAPs and 41 foreign LBSAPs through semantic network analysis to investigate the characteristics of domestic and foreign LBSAPs. The results showed that conservation and management were the most used keywords in both domestic and foreign LBSAPs but the ranking of other keywords used in vision, goal, strategy, and action plan sector was different. Thus, it has been found that there is a difference between domestic and foreign practical approaches to conservation and management of biodiversity. Results of the network analysis showed that the domestic network has a more detailed distributed network, while the foreign network has a more comprehensive and integrally configured dense network. These differences may be due to differences of threats to biodiversity, problem recognition, or differences in local circumstances. These results are expected to help establish LBSAP in other region or to assess the local roles to achieve the strategic goals of the Convention on Biological Diversity.

키워드

참고문헌

  1. Borgatti SP, Everett MG, Freeman LC. 2002. Ucinet for windows: software for social network analysis. Harvard, MA: Analytic technologies.
  2. CBD. 2011. Strategic plan for biodiversity 2011- 2020 and the aichi targets.
  3. CBD: Subnational Biodiversity Strategies and Action Plans (SBSAPs)[Internet]. 2017. Convention on biological diversity; [Cited 2017 Jul 3]. Available from: https://www.cbd.int/subnational/resources/strategiesand- action-plans.
  4. Do YN, Ko EJ, Kim YM, Kim HG, Joo GJ, Kim JY, Kim HW. 2015. Using Textmining Method to Identify Research Trends of Freshwater Exotic Species in Korea. Korean journal of ecology and environment. 48(3): 195-202. [Korean Literature] https://doi.org/10.11614/KSL.2015.48.3.195
  5. Jeon H, Kim T. 2016. Package 'KoNLP'.
  6. ICLEI: ICLEI publication[Internet]. 2017. Local government for sustainability; [Cited 2017 Jul 3]. Available from: http://www.icleikorea.org/board/board.htm?cmd=list&board_gbn =110
  7. Interagency Association. 2014. The 3rd national biodiversity strategies and action plan: 25-75. [Korea Literature]
  8. Interagency association. 2017. NBSAP implementation plan. 29-34. [Korean Literature]
  9. Jang IS, Chang DH, Lee SS. 2011. The knowledge structure of multicultural research papers in Korea. Journal of korean library and information science society. 42(2): 353-374. [Korean Literature] https://doi.org/10.16981/kliss.42.4.201112.353
  10. Kim BR, Lee JH, Kwon HS. 2017. Recent Ecological Asset Research Trends using Keyword Network Analysis. Journal of environmental impact assessment. 26(5): 303-314. [Korean Literature] https://doi.org/10.14249/EIA.2017.26.5.303
  11. Kim BS, Jeong MW, Jeon SE, Shin DB. 2016a. Global research trends on geospatial information by keyword network analysis, Journal of korea spatial information society. 23(1): 69-77. [Korean Literature]
  12. Kim DS, Kim JW. 2014. Research trend analysis using bibliographic information and citations of cloud computing articles: application of social network analysis. Journal of intelligence and information systems. 20(1): 195-211. [Korean Literature] https://doi.org/10.13088/jiis.2014.20.1.195
  13. Kim GH, Kong SJ, Kim MK, Lee MJ, Song JY, Jeon SW. 2014. Developing local biodiversity strategies and action plan. Journal of environmental policy. 13(2): 3- 20. [Korean Literature]
  14. Kim HK, Kwon KS, Jang DH. 2016b. Language network analysis of ‘Marine Environment’ in news frame. Journal of the Korea contents association. 16(5): 385-398. [Korean Literature] https://doi.org/10.5392/JKCA.2016.16.05.385
  15. Kim KM, Lee SE. 2017. Semantic network analysis of media reports on Gyeongju earthquake of the korean peninsula in 2016. Journal of the korean society of hazard mitigation. 17(5): 281-289. [Korean Literature] https://doi.org/10.9798/KOSHAM.2017.17.5.281
  16. Kwak CG. 2017. Applying semantic network analysis for policy frame analysis: A methodological approach to building scientific research design. Korean journal of policy analysis and evaluation. 27(3): 261-280. [Korean Literature]
  17. Lee JJ. 2011. Data mining using R, SAS, MS-SQL. Freeacademy. 3-13. [Korean Literature]
  18. Ministry of Environment. 2011. A guidebook of Local biodiversity strategies and action plan. [Korean Literature]
  19. Ministry of Environment. 2017. Act on conservation and utilization of biodiversity. [Korean Literature]
  20. National Institute of Ecology. 2015. Assessment of ecosystem services (Ecological Value) for sustainable land use. 2-4. [Korean Literature]
  21. Oh KY, Lee MJ, Park BY, Lee JH, Yoon JH. 2017. Analysis of the research trends by environmental spatial-information using text-mining technology. Journal of the korean association of geographic information studies. 20(1): 113-126. [Korean Literature] https://doi.org/10.11108/kagis.2017.20.1.113
  22. Park KJ, Chung DH, Cho KS. 2013. An analysis of the changes of high school students' conceptual structure about sedimentary rocks before and after the field trip using the semantic network analysis. Journal of the korean earth science society. 34(2): 173-186. [Korean Literature] https://doi.org/10.5467/JKESS.2013.34.2.173
  23. Richard B. Primack, Lee SD, Kang HS, Kang HJ, Kim JG. 2014. A primer of conservation biology. Worldscience. 85-135. [Korean Literature]
  24. Son DW. 2002. Social network analysis. [Korean Literature]
  25. UN. 1992. Convention on biological diversity.
  26. Van Eck, Waltman L. 2016. VOSviewer manual.
  27. Van Eck, Waltman L. 2010. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics. 84:523-528. https://doi.org/10.1007/s11192-009-0146-3
  28. Waltman L, Van Eck NJ, Noyons Ed CM. 2010. A unified approach to mapping and clustering of bibliometric networks. Journal of Informatics. 4:629-635.