Construction of a Land-use Change Simulation Model and Its Application in Haidian District, Beijing
Received date: 2004-06-10
Revised date: 2004-08-20
Online published: 2004-11-25
Supported by
Natural Science Foundation of Beijing, No.6031001; No.4022005; China Ministry of Land and Resources LUCC Project, No.2001010102; Science and Technology Commission of Beijing,, No.955421000
CLUE-s (Conversion of Land Use and its Effects in small extent) is a model for simulating spatial changes in land use. The model was applied for regional agriculture and forest land-use system simulations in many countries. The author extended the CLUE-s model with a dynamic neighborhood analysis. The extended model (CLUE-sII) could simulate the self-organizational processes, spontaneous processes and the competition processes of the land-use changes. CLUE-sII can also implement different simulation schemes according to the characteristics of the study area. The local factors and the neighborhood factors play different roles in each scheme. Therefore, the researchers could find the best scheme for the specific study area. Land use change from 1991 to 2001 is simulated using CLUE-sII for Haidian District, Beijing. The results indicate that neighborhood factor analyse is important to simulate urban land-use changes and the scheme that took the neighborhood factor as a magnifying factor to the spontaneous processes obtained the best results, with which the whole map correspondence proportion gained 77% and the Kappa of urban attained 0.754. The case study in this paper showed that CLUE-sII could simulate urban sprawl with multiple land-use types at a high spatial and temporal resolution. Through constructing multiple simulation schemes, one can not only find the best simulation performance, but also could obtain more information on the importance of different land-use drivers.
Key words: CLUE-sII; model; land-use; simulation; Beijing
DUAN Zengqiang, P. H. Verburg, ZHANG Fengrong, YU Zhenrong . Construction of a Land-use Change Simulation Model and Its Application in Haidian District, Beijing[J]. Acta Geographica Sinica, 2004 , 59(6) : 1037 -1047 . DOI: 10.11821/xb200406028
[1] Vitousek P, 1994. Beyond global warming: ecology and global change. Ecology, 1975: 1861-1876.
[2] Vitousek P M, Mooney H A, Lubchenco J et al. Human domination of earth's ecosystems. Science, 1997, 277: 494-499.
[3] Dawn C Parker, Steven M Manson, Marco A Janssen et al. Multi-Agent Systems for the Simulation of Land-Use and Land-Cover Change: A Review. 2002.
[4] Lambin E F, Baulies X, Bockstael N et al. Land-use and land-cover change (LUCC): Implementation Strategy. A Core Project of the International Geospere-Biosphere Programme and the International Human Dimensions Programme on Global Environmental Change. IGBP Report 48. IHDP Report 10. IGBP, Stockholm, 1999, 125.
[5] Veldkamp A, Lambin E F. Predicting land-use change. Agriculture, Ecosystems and Environment, 2001, 85: 1-6.
[6] Schneider S H. Integrated assessment modeling of global climate change: transparent rational tool for policy making or opaque screen hiding value-laden assumptions? Environmental Modeling and Assessment, 1997, 2: 229-249.
[7] Walsh S J, Crawford T W, Crews-Meyer K A. A multi scale analysis of land use/land cover change and NDVI Variation in Nang Rong District, Northeast Thailand. Agriculture, Ecosystems and Environment, 2001, 85: 47-64.
[8] Verburg P H, Soepboer W, Limpiada R et al. Land use change modelling at the regional scale: the CLUE-S model. Environmental Management, 2002, 30. (in press)
[9] Fulong Wu. International Journal of Geographical Information Science, 2002, 16(8): 795-818.
[10] Jianquan Cheng. Modelling spatial & temporal urban growth. Doctoral Dissertation, 2003.
[11] Jin Chen et al. Assessment of the urban deveopment plan of Beijing by using a CA-based urban growth model. Photogrammetric Engineering & Remote Sensing, 2002, 68(10): 1063-1071.
[12] Verburg P H, A Veldkamp, G H J de Koning et al. A spatial explicit allocation procedure for modelling the pattern of land use change based upon actual land use. Ecological Modelling, 1999, 116: 45-61.
[13] Verburg P H, Schot P, Dijst M et al. Land-use change modelling: current practice and research priorities. Geojournal, 2004, in press.
[14] Verburg P H, A Veldkamp, J Bouma. Land use change under conditions of high population pressure: the case of Java. Global Environmental Change, 1999, 9: 303-312.
[15] Verburg P H, A Veldkamp, G H J de Koning et al. A spatial explicit allocation procedure for modelling the pattern of land use change based upon actual land use. Ecological Modelling, 1999, 116: 45-61.
[16] Verburg P H, Youqi Chen, Welmoed Soepboer et al. GIS-based modeling of human-environment interactions for natural resource management applications in Asia. In: 4th International Conference on Integrating GIS and Environmental Modeling (GIS/EM4): Problems, Prospects, and Research Needs, Banff, Alberta, Canada. Boulder: Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado, 2000. http: // www. colorado. edu/research /cires /Banff /upload/337/.
[17] Verburg P H, Y Q Chen. Multiscale characterization of land-use patterns in China. Ecosystems, 2000, 3(4): 369-385.
[18] Verburg P H, Ton de Nijs, Jan Ritsema van Ec. A method to analyse neighbourhood characteristics of land use patterns, computer, environment and urban system, 2004, in press).
[19] Ritsema van Eck J R, de Jong T. Accessibility analysis and spatial competition effects in the context of GIS-supported service location planning. Computers, Environment and Urban Systems, 1999, 23: 75-89.
[20] Costanza R. Model goodness of fit: a multiple resolution procedure. Ecol. Model., 1989, 47: 199-215.
[21] Veldkamp A, Fresco L O. Reconstructing land use drivers and their spatial scale dependence for Costa Rica. Agricultural Systems, 1997, 55: 19-43.
[22] Hoshino S. Statistical analysis of land-use change and driving forces in the Kansai District, Japan. WP-96-120. 1996. Laxenburg, IIASA. IIASA working papers.
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