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A Study of Visualization and Analysis Method about Plants Social Network Used for Planting Design - Focusing on Forest Vegetation Area in Busan Metropolitan City -

식재설계에 활용 가능한 식물사회네트워크 시각화 및 분석 방법에 관한 연구 - 부산광역시 산림식생지역을 중심으로 -

  • Lee, Sang-Cheol (Applied Ecology Lab., Pusan National Univ.) ;
  • Choi, Song-Hyun (Dept. of Landscape Architecture, Pusan National Univ.) ;
  • Cho, Woo (Dept. of Environmental Science and Landscape Architecture, Sangji Univ.)
  • 이상철 (부산대학교 응용생태연구실) ;
  • 최송현 (부산대학교 조경학과) ;
  • 조우 (상지대학교 환경조경학과)
  • Received : 2020.05.04
  • Accepted : 2020.05.29
  • Published : 2020.06.30

Abstract

Plants Social Network (PSN) was first used in recent studies to incorporate the plant sociology methods for the understanding of plant society with the social network analysis methods that have recently attracted attention in the social science and visualize and analyze a PSN. The process of construction and analysis on PSN proceeds in the order of setting up the survey area, investigating the appearance plants species on plots of 100㎡, analyzing the interspecific association, building the sociogram, and analyzing the network structure and centrality. This study established a PSN by investigating the appearance species after installing 708 plots to include various dominant vegetational physiognomies in Busan Metropolitan City, where coastal and inland vegetation could be observed simultaneously. The survey found a total of 195 species, including 42 species of evergreen, 151 species of deciduous trees, and 2 species of semi-evergreen trees. The interspecies binding analysis was performed with the focus on the total number of species. It showed the number of friendly species in the order of Eurya japonica (47 species), Trachelospermum asiaticum (46 species), Linder glauca (44 species), Sorbus alnifolia (44 species), and Ligustrum japonicum (41 species). Based on it, we generated a sociogram using Gephi 0.9.2 program. The sociogram was divided into groups that appeared mostly on the coast and those that did not, reflecting the geographical distribution characteristics of forest vegetation in Busan. The analysis of the network structured showed 1,709 links and an average of 17.5 species having interspecies binding with a species. The density was 0.09, the diameter was 5, and the average path distance was 2.268. We concluded that various PSNs should be established in the future for precise comparative analysis of network characteristics in the social science field. In the PSN of Busan Metropolitan City, Eurya japonica, Linder glauca, Ligustrum japonicum, and Trachelospermum asiaticum showed high centrality.

식물사회네트워크란 식물사회를 이해하기 위한 기존의 식물사회학적 방법과 사회과학에서 최근에 주목받고 있는 사회연결망 분석 방법을 접목하여 식물사회연결망을 시각화하고 분석하는 것을 말한다. 구축 및 분석 과정은 조사구 설정 및 출현 수종 조사, 종간결합분석, 소시오그램 작성, 네트워크 구조 및 중심성 분석 순으로 진행된다. 식물사회네트워크를 구축하기 위해 본 연구는 해안식생과 내륙식생을 동시에 볼 수 있는 부산광역시를 중심으로 다양한 상관우점식생이 포함되도록 708개 조사구를 설치하여 출현 수종을 조사하였다. 조사 결과, 출현한 수종은 모두 195종이었으며, 상록수 42종, 낙엽수 151종, 반상록수 2종으로 나탔으며, 전체 출현수종을 중심으로 종간결합분석을 실시하였다. 종간결합 분석 결과, 친화종수는 사스레피나무(47종), 마삭줄(46종), 감태나무(44종), 팥배나무(44종), 광나무(41종) 순으로 나타났으며, 이를 바탕으로 gephi 0.9.2. program을 활용하여 소시오그램을 작성하였다. 작성된 소시오그램은 해안에서 주로 출현하는 그룹과 그렇지 않은 그룹으로 나뉘어져 있어 부산광역시 산림식생의 지리적 분포특성을 반영하고 있었다. 네트워크 구조를 분석한 결과, 1,709개의 연결선(link)이 나타났고, 한 수종과 종간결합을 갖는 종수의 평균은 약 17.5개였다. 밀도는 0.09, 지름은 5, 평균 경로거리는 2.268로 분석되었는데, 사회과학분야의 네트워크 특성과 정밀한 비교 분석을 위해 앞으로 다양한 식물사회네트워크 구축이 진행되어야 할 것으로 판단되었다. 부산광역시 식물사회네트워크에서는 사스레피나무, 감태나무, 광나무, 마삭줄 등이 중심성이 높은 것으로 나타났다.

Keywords

References

  1. Albert, R., H. Jeong and A.L. Barabasi(1999) Diameter of the World Wide Web. Nature 401: 130-131. (in English) https://doi.org/10.1038/43601
  2. Albert, R., H. Jeong and A.L. Barabasi(2000) Error and attack tolerance of complex networks. Nature 406: 378-382. (in English) https://doi.org/10.1038/35019019
  3. Bonacich, P.(1987) Power and centrality: A family of measures. American Journal of Sociology 92: 1170-1182. (in English) https://doi.org/10.1086/228631
  4. Braun-Blanguet, J.(1964) Pflanzensoziologie. Grundzfige der Vegetationskunde(3rd ed). Springer, Wien-New York. 865pp.
  5. Busan Metropolitan City(2016) Busan natural environment survey (2nd ed). Busan Metropolitan City. 430pp. (in Korean)
  6. Chang, S.M.(1991) Ecological studies on the forest vegetaion in Mt. Joghe. Jour. Korean For. Soc. 80(1): 54-71. (in Korean with English abstract)
  7. Erdos, P. and A. Renyi(1959) On random graphs. Publ. Math. Debrecen 6: 209-297. (in English)
  8. Freeman, L.C.(1978) Centrality in social networks conceptual clarification. Social networks 1(3): 215-239. (in English) https://doi.org/10.1016/0378-8733(78)90021-7
  9. Gephy(2020) https://gephi.org/
  10. Jabu, S.(1987) Restoration of a kaolin clay strip mine for wildlife habitat using biotechnical and revegetation methods. Master Dissertation, Univ. of Georgia, Athens. 226pp. (in English)
  11. Jang, S.H. and S.H. Jang(2009) A framework for visualizing social network influence. Journal of Korea Multimedia Society 12(1): 139-146. (in Korean with English abstract)
  12. Kim, J.W.(2006) Vegetation ecology. Worldscience Publications, Seoul. 340pp. (in Korean)
  13. Kim, M.M.(2015) Analysis of research trend on R&D performance using social network analysis. Master Dissertation, Hanyang Univ., 63pp. (in Korean with English abstract)
  14. Kim, S.H. and R.S. Chang(2010) The study on the research trend of social network analysis and the its applicability to information science. Journal of the Korean Society for Information Management 27(4): 71-87. (in Korean with English abstract) https://doi.org/10.3743/KOSIM.2010.27.4.071
  15. Kim, T.Y. and J.S. Kim(2018) Woody plants of Korean Peninsula. Dolbegae Publications, Paju. 716pp. (in Korean)
  16. Kim, Y.H., J.R. Yoon, H.S. Cho and Y.J. Kim(2007) Structure of collaboration network among Korean scientists-‘Small world’ and position effect-. Korean Journal of Sociology 41(4): 68-103. (in Korean with English abstract)
  17. Kim, Y.J., J.E. Lee and Y.R. Lee(2016) Analysis of properties of fashion trading areas using network analysis technique. Journal of the Korean Society of Clothing and Textiles 40(2): 209-220. (in Korean with English abstract)
  18. Lee, D.C., K.K. Shim, S.H. Choi and K.J. Lee(1994) Plants community structure analysis of Lindera erythrocarpa native forest in the Central Korea(I). J. KILA 22(2): 133-157. (in Korean with English abstract)
  19. Lee, S.C.(2018) A study of ecological planting model based on vegetation structure and plants social network analysis in urban forest. Ph. D. Dissertation, Pusan National Univ., 267pp. (in Korean with English abstract)
  20. Lee, S.C., S.H. Choi, H.M. Kang, H.S. Cho and J.W. Cho(2010) The change and structure of altitudinal vegetation on the east side of Hallasan National Park. Kor. J. Env. Eco. 24(1): 26-36. (in Korean with English abstract)
  21. Lee, S.C., S.H. Hong, D.P. Kim, S.H. Choi and M.Y. Ahn(2018) A study for growth density on the Pinus thunbergii and Pinus densiflora communities in area of Busan, Korea. Korean J. Environ. Ecol. 32(2): 215-224. (in Korean with English abstract) https://doi.org/10.13047/KJEE.2018.32.2.215
  22. Lee, S.S.(2010) Network analysis methodology. Nonhyung Publications, Seoul. 370pp. (in Korean)
  23. Moody, J.(2004) The structure of a social science collaboration network: Disciplinary cohesion from 1963 to 1999. American Socioloical Review 69: 213-238. (in English) https://doi.org/10.1177/000312240406900204
  24. Moreno, J.(1934) Who shall survive? New York, Beacon Press. 755pp. (in English)
  25. Oh, K.K.(1986) A study on the planting design criteria considering ecological characteristics of natural vegetation. Master Dissertation, Seoul Nat. Univ., 159pp. (in Korean with English abstract)
  26. Park, E.H., J.K. Kim, J.H. Lee, H.S. Cho and J.K. Min(2004) Vegetation of liana dominating in the vicinity of Onsan industrial complex. Korean J. Ecol. 27(6): 335-345. (in Korean with English abstract) https://doi.org/10.5141/JEFB.2004.27.6.335
  27. Park, H.Y., H.R. Lee, D.K. Kim and S.Y. Song(2014) Analyzing newspaper editorials on a mega-event by using semantic network analysis-Focus on the EXPO 2012 Yeosu Korea-. Journal of Tourism Sciences 38(1): 179-199. (in Korean with English abstract)
  28. Peter, A. and B. Shneiderman(2006) Balancing systematic and flexible exploration of social networks. IEEE Transactions on Visualization and Computer Graphics 12(5): 693-700. (in English) https://doi.org/10.1109/TVCG.2006.122
  29. Scott, J.(2000) Social network analysis: A hand book. SAGE Publications, London. 208pp. (in English)
  30. Shin, H.S., S.C. Lee, S.H. Choi and H.M. Kang(2019) Ecological characteristic and vegetation structure of Pinus thunbergii community in coastal forest of Busan metropolitan city, Korea. Korean J. Environ. Ecol. 33(5): 539-551. (in Korean with English abstract) https://doi.org/10.13047/KJEE.2019.33.5.539
  31. Sohn, D.W.(2002) Social network analysis. Kyungmoonsa Publications, Seoul. 254pp. (in Korean)