Journal of Korean Society of Forest Science (한국산림과학회지)

Korean Society of Forest Science (한국산림과학회)
권호 표지
DOI QR코드

DOI QR Code

A Comparison on the Forest Type of Coastal Disaster Prevention Forest Between the Coastal Areas in Korea

우리나라 해안별 해안방재림의 유형특성 비교

  • Kim, Chan-Beom (Division of Forest Disaster Management, Korea Forest Research Institute) ;
  • Park, Ki-Hyung (Division of Forest Disaster Management, Korea Forest Research Institute) ;
  • Lee, Chang-Woo (Division of Forest Disaster Management, Korea Forest Research Institute) ;
  • Youn, Ho-Joong (Division of Forest Disaster Management, Korea Forest Research Institute) ;
  • Kim, Kyongha (Division of Forest Disaster Management, Korea Forest Research Institute)
  • 김찬범 (국립산림과학원 산림방재연구과) ;
  • 박기형 (국립산림과학원 산림방재연구과) ;
  • 이창우 (국립산림과학원 산림방재연구과) ;
  • 윤호중 (국립산림과학원 산림방재연구과) ;
  • 김경하 (국립산림과학원 산림방재연구과)
  • Received : 2014.05.07
  • Accepted : 2014.11.11
  • Published : 2014.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

The objective of this study was to select a representative coastal disaster prevention forest type for each coastal area. In this study, we used cluster analysis with the results obtained from investigation for density of growing stock, tree height, DBH, and forest width and length of major coastal disaster prevention forests distributed in the west, the south, and the east coasts. The results showed that the coastal disaster prevention forests for each coast were classified into two types: a forest type with small DBH and high growing stock density (W1) or with high tree height (W2) in the west coast, a forest type with small tree height (S1) or with large DBH (S2) in the south coast, and a forest type with small growing stock density (E1) or with small tree height and low DBH (E2) in the east coast. The coastal disaster prevention forests located in Gurye beach (Hwangchon-ri, Wonbuk-myeon, Taean-gun, Chungcheongnam-do) and in Gohsapo beach (Unsna-ri, Byeonsan-myeon, Buan-gun, Jeollabuk-do) were selected as the representative forests of W1 and W2, respectively. In addition, the coastal disaster prevention forests located in Namyang beach (Namyang-ri, Seolcheon-myeon, Namhae-gun, Gyeongsangnam-do) and in Donggo beach (Donggo-ri, Sinji-myeon, Wando-gun, Jeollanam-do) were selected as the representative forests of S1 and S2, respectively. Last, the coastal disaster prevention forests located in Bonggil beach (Bonggil-ri, Yangbuk-myeon, Gyeongju-si, Gyeongsangbuk-do) and in Anmeok beach (Gyeonso-dong, Gangneung-si, Gangwon-do) were selected as the representative forests of E1 and E2, respectively. Our finding is expected to be used as baseline data in establishing the most appropriate coastal disaster prevention forest for each coast.

이 연구는 우리나라 서해안, 남해안, 동해안의 주요 해안방재림 실태조사 결과를 바탕으로 군집분석을 실시하여 각 해안별 해안방재림의 특징과 각 해안을 대표할 수 있는 해안방재림 선정을 목적으로 하였다. 해안방재림 방재효과에 영향을 주는 임분밀도와 수고, DBH, 해안방재림 폭을 기준으로 하여 각 군집의 특성을 분석한 결과, 해안별 각각 2개의 군집으로 분류되었다. 서해안은 임분밀도가 높고 DBH가 작은 특징을 갖는 충청남도 태안군 원북면 황촌리 구례포해수욕장 해안방재림과 수고가 높은 특징을 보이는 전라북도 부안군 변산면 운산리 고사포해수욕장 해안방재림이 각 군집을 대표하는 해안방재림이었다. 남해안은 수고가 낮은 특징을 보이는 경상남도 남해군 설천면 남양리 해안방재림과 DBH가 큰 전라남도 완도군 신지면 동고리해수욕장 해안방재림으로 나타났다. 동해안은 임분밀도가 낮은 경상남도 경주시 양북면 봉길리 해안방재림과 수고가 낮고 DBH가 작은 강원도 강릉시 견소동 안목해수욕장 해안방재림이 대표적이다. 이 연구는 앞으로 각 해안별 가장 적합한 해안방재림을 설정하는 데에 기초자료로 활용될 것으로 기대된다.

Keywords

References

  1. An, J.H. 2006. A study on the growth characteristics of coastal windbreak forests. Master's thesis, Chonbuk National University. pp. 55.
  2. Cho, K.W., Kim, K.J., Jung, J.C., Park, W.K., and Kang, T.S. 2009. Vulerability assessment of the Korean coast due to sealevel rise and appropriate response strategies I -Assessment of shoreline retreat. Korea Environment Institute. pp. 155.
  3. Cho, E.S. and Hwang, I.S. 2008. The effective criteria for determining the number of clusters: An application with SPSS and Microsofr excel. Journal of Commodity Science and Technology 1: 1-9.
  4. Chun, K.W., Kim, S.W., Kim, K.N., Nakashima, Y., and Ezaki, T. 2005. Coastal forest construction and Non-structural Measures for preventing Tsunami damage - In case of Japan-. Journal of Korean Forest Society 94(3): 197-204.
  5. Harada, K., and Imamura, F. 2005. Effect of coastal forest on tsunami hazard mitigation- A preliminary investigation. pp. 279-292. In: Satake, K.(Ed). Tsunamis: case studies and recent developments. Springer. Netherlands.
  6. Huh, M.H., and Lee, Y.G. 2004. Reproducibility assessment of K-Means clustering and applications. The Korean Journal of Applied Statistics 17(1): 135-144. https://doi.org/10.5351/KJAS.2004.17.1.135
  7. IPCC. 2007. Climate change 2007: The physical science basis. contribution of working group to the fourth assessment report of the intergovernmental panel on climate change. Cambridge, United Kingdom and New York, USA. pp. 989.
  8. Jung, Y.K. and Kim, W. 2000. Distribution characteristics of coastal mantle communities in Korean Peninsula. Journal of Ecology and Environment 23(3): 193-199.
  9. Kathiresan, K and Rajendran, N. 2005. Coastal mangrove forests mitigated tsunami. Estuarine, Coastal and Shelf Science 65: 601-606. https://doi.org/10.1016/j.ecss.2005.06.022
  10. Kim, S.H. and Choi, S.H. 2007. The structure and ecological characteristics of coastal forest in Busan metropolitan city. Korean Journal of Environment and Ecology 21(1): 67-73.
  11. Korea Forest Research Institute. 2013. Development of the numerical model and proper arrangement model for composition analysis on the effect of the coastal forest for damgae prevention. Contract research project report of Korea Forest Research Institute. pp. 70.
  12. Kwon, J.O., Lee, K.J., and Jang, S.H. 2004. The planting models of maritime forest by the plant community structure analysis in the seaside, Incheon -A case study on Pinus thunbergii community and Pinus densiflora community-. Journal of the Korean Institute of Landscape Architecture 31(6): 53-63.
  13. Lee, M.Y. 2009. A theoretical review and application method of twostep cluster analysis. Master's thesis, Chung-Ang University. pp. 56.
  14. Lee, W.C. 2003. A study for twostep cluster method. Chung-Ang University. pp. 39.
  15. Lee, W.T., and Chon, S.K. 1983. Ecological studies on the coastal plants in Korea -Floristic composition and standing crop of the sand dune on the southern coast-. Journal of Ecology and Environment 6(3): 74-84.
  16. Park, C.M., Kim, S.W., Park, S.H. 2009. Study on growth characteristics of pinus thunbergii windbreak forests around Goosipo beach, Gochang-gun. Korean Journal of Environment and Ecology 23(4): 365-375.
  17. Park, J.S. 2008. A study on the coastal disaster prevention forest. Master's thesis, Chonnam National University. pp. 66.
  18. Park, K.W. and Cho, Y.S. 2012. Hazard map with probable maximum tsunamis. Journal of Korea Society of Hazard Mitigation 12(2): 263-270. https://doi.org/10.9798/KOSHAM.2012.12.2.263
  19. Shin, H.K. and Shin, H.C. 2010. Market segmentation on recreational forest visitors by cluster analysis. The Journal of Korea Contents Association 10(3): 364-372. https://doi.org/10.5392/JKCA.2010.10.3.364
  20. T.Ng, Raymond and Han, Jiawei. 1994. Efficient and effevtive clustering methods for spatial data mining. Proceedings of the international conference on very large data bases 20: 144-155.
  21. Typhoon Center. http://typ.kma.go.kr/TYPHOON/statistics/statistics_02_1.jsp(2014. 10. 28).
  22. USGS(United States Geological Survey) Earthquake Hazards Program. 2013. Magnitude 9.0 -Near the east coast of Honshu, Japan. http://earthquake.usgs.gov/earthquakes/eqinthenews/2011/usc0001xgp/usc0001xgp.php (2014. 1. 20).

Cited by

  1. An Analysis of Correlation between Pinus thunbergii Forests and Soil Conditions by TWINSPAN and CCA Ordination in West Coast of South Korea vol.19, pp.1, 2016, https://doi.org/10.13087/kosert.2016.19.1.45
  2. The Necessity and Method of Stand Density Control Considering the Shape Ratio of Pinus thunbergii Coastal Disaster Prevention Forests in South Korea vol.104, pp.3, 2015, https://doi.org/10.14578/jkfs.2015.104.3.411
  3. 서해안 곰솔림의 구조분석과 식물상 - 기지포, 춘장대, 장항 및 구시포를 중심으로 - vol.30, pp.2, 2014, https://doi.org/10.13047/kjee.2016.30.2.199