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Prediction of Land-cover Change Based on Climate Change Scenarios and Regional Characteristics using Cluster Analysis

기후변화 시나리오에 따른 미래 토지피복변화 예측 및 군집분석을 이용한 지역 특성 분석

  • 오윤경 (서울대학교 농업생명과학대학) ;
  • 최진용 (서울대학교 농업생명과학대학 조경.지역시스템공학부, 농업생명과학연구원) ;
  • 유승환 (서울대학교 농업생명과학대학) ;
  • 이상현 (서울대학교 농업생명과학대학 지역시스템공학)
  • Received : 2011.05.20
  • Accepted : 2011.10.20
  • Published : 2011.11.30

Abstract

This study was conducted to predict future land-cover changes under climate change scenarios and to cluster analysis of regional land-cover characteristics. To simulate the future land-cover according to climate change scenarios - A1B, A2, and B1 of the Special Report on Emissions Scenarios (SRES), Dyna-CLUE (Conversion of Land Use Change and its Effects) was applied for modeling of competition among land-use types in relation with socioeconomic and biophysical driving factors. Gyeonggi-do were selected as study areas. The simulation results from 2010 to 2040 suggested future land-cover changes under the scenario conditions. All scenarios resulted in a gradual decrease in paddy area, while upland area continuously increased. A1B scenario showed the highest increase in built-up area, but all scenarios showed only slight changes in forest area. As a result of cluster analysis with the land-cover component scores, 31 si/gun in Gyeonggi-do were classified into three clusters. This approach is expected to be useful for evaluating and simulating land-use changes in relation to development constraints and scenarios. The results could be used as fundamental basis for providing policy direction by considering regional land-cover characteristics.

Keywords

References

  1. Alcamo, J., Kreileman, G. J. J., and R. Leemans, 1996. Integrated scenarios of global change. Pergamon Press, London
  2. Bae, D. H., Jung, I. W., and W. T. Kwon, 2007. Generation of High Resolution Scenarios for Climate Change Impacts On Water Resources(I): Climate Scenarios on Each Sub-basins. Journal of Korea Water Resources Association 40(3): 191-204. (in Korean) https://doi.org/10.3741/JKWRA.2007.40.3.191
  3. Brown, D. G., Pijanowski, B. C., and J. D. Duh, 2002. Modeling the relationships between land use land cover on private lands in the Upper Midwest, USA. J Environmental Management. 59(4): 247-263.
  4. Deal, B. and D. Schunk, 2004. Spatial dynamic modeling and urban land use transformation: a simulation approach to assessing the costs of urban sprawl. Ecological Economics 51(1): 79-95. https://doi.org/10.1016/j.ecolecon.2004.04.008
  5. IPCC, 2007. Climate Change 2007 : The Physical Science Basis. Cambridge University Press, Cambridge, UK.
  6. Lambin, E. F., Rounsevell, M. D. A. and H. J. Geist, 2000. Area agricultural land-use models able to predict changes in land-use intensity? Agriculture, Ecosystems and Environment 82:321-331. https://doi.org/10.1016/S0167-8809(00)00235-8
  7. Lee, Y. J. and S. J. Kim, 2007. Surveying and Geo-Spatial Information Engineering : A Modified CA-Markov Technique for Prediction of Future Land Use Change. Journal of Korean Society of Civil Engineers 27(6): 809-817. (in Korean)
  8. Morita, T., Matsuoka, Y., Jiang, K., Masui, T., Takahashi, K., Kainuma, M., and R. Pandey, 1998. Quantification of IPCC-SRES storyline using the AIM/EMISSIONLINKAGE model. the IPCC Modeler Meeting of the Special Report on Emission Scenarios.
  9. Nakicenovic, N., and R. Swart, R. 2000. IPCC special report on emissions scenarios. Cambridge University Press, Cambridge.
  10. Oh, Y.-G., Choi, J.-Y., Bae, S.-J., Yoo, S.-H., and S.-H. Lee, 2010a. Research Paper : A Probability Mapping for Land Cover Change Prediction using CLUE Model. Journal of the Korean Society of Rural Planning (KSRP) 16(2): 47-55. (in Korean)
  11. Oh, Y.-G., Yoo, S.-H., Lee, S.-H., and J.-Y. Choi, 2010b. Prediction of paddy field change based on climate change scenarios using the CLUE model. Paddy and Water Environment 1-15. (in Press)
  12. Park, C., 2009, The Analysis of potential Reduction of $CO_2$ Emission for Low Carbon Society - Focused on Land Use Change-. Master thesis. Seoul National University. (in Korean)
  13. Park, M. W., 2007. Special Feature : An Issue and Development of the urban Policy in Gyeonggi Province. Journal of Korean Society of Civil Engineers 55(7): 19-27. (in Korean)
  14. Schulp, C. J. E., Nabuurs, G.-J., and P. H. Verburg, 2008. Future carbon sequestration in Europe-Effects of land use change. Agriculture, Ecosystems & Environment 127(3-4): 251-264. https://doi.org/10.1016/j.agee.2008.04.010
  15. Veldkamp, A., and P.H. Verburg, 2004. Modelling land use change and environmental impact. Journal of Environmental Management 72(1-2): 1-3. https://doi.org/10.1016/j.jenvman.2004.04.004
  16. Verburg, P. H., Soepboer, W., Veldkamp, A., Limpiada, R., Espaldon, V. and S. S. A Mastura, 2002. Modeling the spatial dynamics of regional land use: The CLUE-S model. Environmental Management 30(3): 391-405. https://doi.org/10.1007/s00267-002-2630-x
  17. Verburg, P. H., De Koning, G. H. J., Kok, K., Veldkamp, A., and J. Bouma, 1999. A spatial explicit allocation procedure for modelling the pattern of land use change based upon actual land use. Ecological Modelling 116(1): 45-61. https://doi.org/10.1016/S0304-3800(98)00156-2

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