Developing land use scenario dynamics model by the integration of system dynamics model and cellular automata model

Abstract

Modeling land use scenario changes and its potential impacts on the structure and function of the ecosystem in the typical regions are helpful to understanding the interactive mechanism between land use system and ecological system. A Land Use Scenario Dynamics (LUSD) model by the integration of System Dynamics (SD) model and Cellular Automata (CA) model is developed with land use scenario changes in northern China in the next 20 years simulated in this paper. The basic idea of LUSD model is to simulate the land use scenario demands by using SD model at first, then allocate the land use scenario patterns at the local scale with the considerations of land use suitability, inheritance ability and neighborhood effect by using CA model to satisfy the balance between land use scenario demands and supply. The application of LUSD model in northern China suggests that the model has the ability to reflect the complex behavior of land use system at different scales to some extent and is a useful tool for assessing the potential impacts of land use system on ecological system. In addition, the simulated results also indicate that obvious land use changes will take place in the farming-pastoral zone of northern China in the next 20 years with cultivated land and urban land being the most active land use types.

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References

  1. 1.

    IIASA, Modeling land use and land cover changes in Europe and Northern Asia, IIASA Research Plan, 1998, 14―21.

  2. 2.

    Costanza, R., Ruth, M., Using dynamic modeling to scope environmental problems and build consensus, Environmental Management, 1998, 22: 183–195.

    Article  Google Scholar 

  3. 3.

    Integrated research on coupled humanenvironmental system. LUCC Newsletter, 2003, 9: 8–9.

    Google Scholar 

  4. 4.

    Lambin, E.F., Geist, H.J., Global land use and land cover change: what have learned so far? Global Change Newsletter, 2001, 46: 27–30

    Google Scholar 

  5. 5.

    Xiao, D., Chen, W., Guo, F., On the basic concepts and contents of ecological security, Chinese Journal of Applied Ecology (in Chinese), 2002, 13(3): 354–358.

    Google Scholar 

  6. 6.

    Shi, P., Song, Ch., Jing, G., Strengthening the study of land use/ cover change and its impact on ecoenvironmental security--The trend of the study of the dynamics of humannature system based on “Global change open science conference 2001” in Amsterdam, Netherlands, Advance in Earth Sciences (in Chinese), 2002, 17(2): 161–168.

    Google Scholar 

  7. 7.

    Fu, B., Chen, L., Ma, K., The effect of land use change on the regional environment in the Yangjuangou Catchment in the Loess Plateau of China, Acta Geographica Sinica (in Chinese), 1999, 54(3): 241–246.

    Google Scholar 

  8. 8.

    Cai, Y., Ecological rehabilitation and development of agriculture, forestry and animal husbandry in Karst mountain areas of southwest China: status and trend of study, Resources Science (in Chinese), 1999, 21(5): 37–41.

    Google Scholar 

  9. 9.

    Leng, Sh., Li, X., New progresses of international study on land quality indicators, Acta Geographica Sinica (in Chinese), 1999, 54(2): 177–185.

    Google Scholar 

  10. 10.

    Zhang, X., Ecological restoration and sustainable agricultural paradigm of Mountain-Oasis-Ecotone-Desert system in the north of the Tianshan Mountains, Acta Botanica Sinica (in Chinese), 2001. 43(12): 1294–1299.

    Google Scholar 

  11. 11.

    Lambin, E.F., Modeling and monitoring landcover change processes in tropical regions. Progress in Physical Geography, 1997, 21: 375–393

    Article  Google Scholar 

  12. 12.

    Verburg, P.H., Veldkamp, A., Fresco, L. O., Simulation of changes in the spatial pattern of land use in China, Applied Geography, 1999, 19: 211–233

    Article  Google Scholar 

  13. 13.

    Lambin, E.F., Turner, B.L., Geist, H. J. et al., The causes of land use and land cover change: moving beyond the myths, Global Environmental Change, 2001, 11: 261–269

    Article  Google Scholar 

  14. 14.

    Hubacek, K, Sun, L., A scenario analysis of China’s land use and land cover change: incorporating biophysical information into inputoutput modeling, Structural Change and Economic Dynamics, 2001, 12: 367–397

    Article  Google Scholar 

  15. 15.

    Lambin, E. F., Rounsevell, M. D. A., Geist, H. J., Are agricultural landuse models able to predict changes in landuse intensity? Agriculture, Ecosystems and Environment, 2000, 82: 321–331

    Article  Google Scholar 

  16. 16.

    Veldkamp, A., Fresco, L. O., CLUE: a conceptual model to study the conversion of land use and its effects, Ecological Model, 1996, 85: 253–270

    Article  Google Scholar 

  17. 17.

    He, Ch., Chen, J., Shi, P. et al., City expansion model of metropolitan area in China: a case study of Beijing, Acta Geographica Sinica (in Chinese), 2003, 58(2): 294–304.

    Google Scholar 

  18. 18.

    Wang, Q., System Dynamics (in Chinese), Beijing: Tsinghua University Press, 1993.

    Google Scholar 

  19. 19.

    Li, L., Simonovic, S.P., System dynamics model for predicting floods from snowmelt in North American prairie watersheds, Hydrological Processes, 2002, 16(13): 2645–2666.

    Article  Google Scholar 

  20. 20.

    Zhang, H., A simulation of the dynamics of soil erosion in the loess hills of Shanxi and Shaanxi provinces, Chinese Science Bulletin (in Chinese), 1997, 42(7): 743–746.

    Google Scholar 

  21. 21.

    Pei, X., Zhao, D., A GISSD-based spatiotemporal modelling and regulating policies on water pollution in Dalian gulf, Journal of Remote Sensing (in Chinese), 2000, 4(22): 118–124.

    Google Scholar 

  22. 22.

    Zhou, Ch., Sun, Zh., Xie, Y., Geographic Cellular Automata Study (in Chinese), Beijing: Science Press, 1999.

    Google Scholar 

  23. 23.

    Batty, M., Xie, Y., Possible urban automata, Environment and Planning B, 1997, 24: 175–192.

    Article  Google Scholar 

  24. 24.

    Batty, M., Xie, Y., Sun, Z., Modeling urban dynamics through GIS-based cellular automata. Computer, Environmental and Urban Systems, 1999, 23: 1–29.

    Article  Google Scholar 

  25. 25.

    Clarke, K.C, Gaydos, L J., Loosecoupling a cellular automaton model and GIS: longterm urban growth prediction for San Francisco and Washington/Baltimore, Int.J.Geographic Information Science, 1998, 12(7): 699–714.

    Article  Google Scholar 

  26. 26.

    White, R, Engelen, G., Uljee, I., The use of constrained cellular automata for highresolution modeling of urban land use dynamics, Environment and Planning B, 1997, 24: 323–343.

    Google Scholar 

  27. 27.

    Wu, F., Webster, C. J., Simulation of land development through the integration of cellular automata and multicriteria evaluation, Environment and Planning B, 1998, 25: 103–126

    Article  Google Scholar 

  28. 28.

    Li, X., Yeh, A. G. O., Modeling sustainable urban development by the integration of constrained cellular automata and GIS, Int.J. Geographical Information Science, 2000, 14(2): 131–152

    Article  Google Scholar 

  29. 29.

    Li, X., Yeh, A. G. O., Integration of principal components analysis and cellular automata for spatial decision making and urban simulation, Science in China, Series D, 2002, 45(6): 521–529.

    Article  Google Scholar 

  30. 30.

    Ward, D. P., Murray, A. T., Phinn, S. R., A stochastically constrained cellular model of urban growth, Computer, Environment and Urban System, 2000, 24: 539–558.

    Article  Google Scholar 

  31. 31.

    Theobald, D., Gross, M., EML: a modeling environment for exploring landscape dynamics, Computers, Environment, and Urban Systems, 1994, 18: 193–204.

    Google Scholar 

  32. 32.

    Wu, F., Webster, C. J., Simulating artificial cities in a GIS environment: urban growth under alternative regulation regimes, Int. J. Geographical Information Science, 2000, 14(7): 625–648

    Article  Google Scholar 

  33. 33.

    White, R., Engelen, G., Highresolution integrated modeling of the spatial dynamics of urban and regional system, Computer, Environment and Urban System, 2000, 24: 383–400.

    Article  Google Scholar 

  34. 34.

    Barredo, J.I., Kasanko, M., McCormick, M. et al., Modellng dynamic spatial processes: simulation of urban future scenarios through cellular automata, Landscape and Urban Planning, 2003, 64: 145–160

    Google Scholar 

  35. 35.

    Li, J., He, Ch., Shi, P. et al., Change process of cultivated land and its driving forces in northern China during 1983-2001, Acta Geographica Sinica (in Chinese), 2004, 59(2): 274–282.

    Google Scholar 

  36. 36.

    He, Ch., Shi, P., Li, J. et al., Scenarios simulation land use change in the northern China by system dynamic model, Acta Geographica Sinica (in Chinese), 2004, 59(4): 599–607.

    Google Scholar 

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Correspondence to Chunyang He or Peijun Shi or Jin Chen or Xiaobing Li or Yaozhong Pan or Jing Li or Yuechen Li or Jinggang Li.

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He, C., Shi, P., Chen, J. et al. Developing land use scenario dynamics model by the integration of system dynamics model and cellular automata model. Sci. China Ser. D-Earth Sci. 48, 1979–1989 (2005). https://doi.org/10.1360/04yd0248

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Keywords

  • system dynamics
  • cellular automata
  • scenario
  • land use
  • model