The Need for Scale Sensitive Approaches in Spatially Explicit Land Use Change Modeling


This paper introduces some of the issues that are relevant to the spatially explicit modeling of land use systems. A short overview is given of the ways and means in which a number of different land use change models describe the land use system. Specific attention is given to the empirical modeling approach used in the CLUE (Conversion of Land Use and its Effects) modeling framework. This approach is demonstrated for three case studies in China, Ecuador and the Atlantic Zone of Costa Rica. These case-studies illustrate the methodology for multi-scale analysis of land use driving factors and their application in spatially explicit modeling exercises. Model functioning, performance and limitations are discussed. The presented case-studies indicate that empirical modeling results can contribute to a better theoretic imbedding of land use change research in scale sensitive and integrated theories.

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  1. [1]

    B.L. Turner II, R.H. Ross and D. Skole, Relating land use and global land cover change, IGBP report no. 24, HDP Report no. 5 (1993) 65 pp.

  2. [2]

    B.L. Turner II, D. Skole, S. Sanderson, G. Fischer, L. Fresco and R. Leemans, Land-use and land-cover change, Science/Reserach plan, IGBP report no. 35, HDP Report no. 7 (1995) 132 pp.

  3. [3]

    E.F. Lambin, X. Baulies, N. Bockstael, G. Fischer, T. Krug, R. Leemans, E.F. Moran, R.R. Rindfuss, Y. Sato, D. Skole, B.L. Turner and C. Vogel, 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 pp.

    Google Scholar 

  4. [4]

    R.V. O'Neill, S.J. Turner, V.I. Cullinan, D.P. Coffin, T. Cook, W. Conley, J. Brunt, J.M. Thomas, M.R. Conley and J. Gosz, Multiple landscape scales: An intersite comparison, Landscape Ecology 5 (1991) 137–144.

    Google Scholar 

  5. [5]

    S.A. Levin, Concepts of Scale at the local level, in: Scaling Physiological Processes. Leaf to Globe, eds. J.R. Ehleringer and C.B. Field (Academic Press, San Diego, 1993).

    Google Scholar 

  6. [6]

    C. Gibson, E. Orstrom and T.K. Ahn, Scaling issues in the Social Sciences, IHDP Working Paper no. 1, Bonn (1998).

  7. [7]

    C.S. Holling, Cross-scale morphology, geometry and dynamics of ecosystems, Ecological Monographs 62 (1992) 447–502.

    Google Scholar 

  8. [8]

    R.E. Bilsborrow and H.W.O. Okoth Ogondo, Population-driven changes in land use in developing countries, Ambio 21 (1992) 37–45.

    Google Scholar 

  9. [9]

    K. Bingsheng, Regional inequality in rural development, in: The Third Revolution in the Chinese Countryside, eds. R. Garnaut, G. Shutian and M. Guonan (Cambridge University Press, Cambridge, 1996) pp. 245–258.

    Google Scholar 

  10. [10]

    E.F. Lambin, Modelling deforestation processes, A review. Trees, tropical ecosystem environment observation by satellites, Research report No. 1, European Commission Joint Research Centre/European Space Agency (1994).

  11. [11]

    J.A. Wiens, Spatial scaling in ecology, Functional Ecology 3 (1989) 385–397.

    Google Scholar 

  12. [12]

    E.B. Rastetter, A.W. King, B.J. Cosby, G.M. Hornberger, R.V. O'Neill and J.E. Hobbie, Aggregating fine-scale ecological knowledge to model coarser-scale attributes of ecosystems, Ecological Applications 2(1) (1992) 55–70.

    Google Scholar 

  13. [13]

    E. Ostrom, Governing the Commons: The Evolution of Institutions for Collective Action (Cambridge University Press, New York, 1990).

    Google Scholar 

  14. [14]

    D. Kaimowitz and A. Angelsen, Economic Models of Tropical Deforestation: A Review (Center for International Forestry Research, Bogor, 1998).

    Google Scholar 

  15. [15]

    B.J.L. Berry, E.C. Conkling and D.M. Ray, The Spatial Organisation of Land Use. The Global Economy, Vol. 9 (Prentice-Hall, Englewood Cliffs, 1993) pp. 252–266.

    Google Scholar 

  16. [16]

    K.M. Chomitz and D.A. Gray, Roads, land use, and deforestation: A spatial model applied to belize, World Bank Economic Review 10(3) (1996) 487–512.

    Google Scholar 

  17. [17]

    [17] WRR [Wetenschappelijke raad voor het regeringsbeleid/Netherlands Scientific council for Government Policy], Ground for choices, four perspectives for the rural areas in the European Community. Reports to the Government no. 42, Sdu Uitgeverij, Den Haag (1992) 144 pp.

    Google Scholar 

  18. [18]

    P. Zander and H. Kächele, Modelling multiple objectives of land use for sustainable development, Agricultural Systems 59 (1999) 311–325.

    Google Scholar 

  19. [19]

    B.A.M. Bouman, H.G.P. Jansen, R.A. Schipper, A. Nieuwenhuyse and H. Hengsdijk, eds., Tools for Land Use Analysis at Different Scale Levels, with Case Studies for the Atlantic Zone of Costa Rica (Kluwer Academic Publishers, Dordrecht, The Netherlands, 1999).

    Google Scholar 

  20. [20]

    R. Rabbinge and M.K. van Ittersum, Tension between aggregation levels, in: The Future of the Land, eds. L.O. Fresco et al. (John Wiley & Sons, Chichester, 1994) pp. 31–40.

    Google Scholar 

  21. [21]

    R.J. Hijmans and M.K. van Ittersum, Aggregation of spatial units in linear programming models to explore land use options, Netherlands Journal of Agricultural Science 44 (1996) 145–162.

    Google Scholar 

  22. [22]

    G. Fischer and L.X. Sun, Model based analysis of future land use development in China, Agriculture, Ecosystems and Environment 85 (2001) 163–176.

    Google Scholar 

  23. [23]

    N. Bockstael, Modeling economics and ecology: The importance of a spatial perspective, American Journal of Agricultural Economics 78 (1996) 1168–1180.

    Google Scholar 

  24. [24]

    J. Geoghegan, L.A. Wainger and N. Bockstael, Spatial landscape indices in a hedonic framework: an ecological economics analysis using GIS, Ecological Economics 23(3) (1997) 251–264.

    Google Scholar 

  25. [25]

    G. Zuidema, G.J. Van Den Born, J. Alcamo and G.J.J. Kreileman, Simulating changes in global land cover as affected by economic and climatic factors, Water, Air and Soil Pollution 76(1,2) (1994) 163–198.

    Google Scholar 

  26. [26]

    Y. Matsuoka, M. Kainuma and T. Morita, Scenario analysis of global warming using the Asian-Pacific Integrated Model (IAM), Ener. Pol. 23 (1994) 1–15.

    Google Scholar 

  27. [27]

    S. Wolfram, Cellular automata as models of complexity, Nature 311 (1984) 419–424.

    Google Scholar 

  28. [28]

    G. Engelen, R. White, I. Uljee and P. Drazan, Using cellular automata for integrated modelling of socio-environmental systems, Environmental Monitoring and Assessment 34 (1995) 203–214.

    Google Scholar 

  29. [29]

    F. Wu, GIS-base simulation as an exploratory analysis for space-time processes, J. Geograph. Syst. 1 (1999) 199–218.

    Google Scholar 

  30. [30]

    R.G. Pontius, J.D. Cornell and C.A.S. Hall, Modeling the spatial pattern of land-use change with GEOMOD2: Application and validation, Agriculture, Ecosystems and Environment 85 (2001) 191–204.

    Google Scholar 

  31. [31]

    A. Veldkamp and L.O. Fresco, CLUE-CR: an integrated multi-scale model to simulate land use change scenarios in Costa Rica, Ecological Modelling 91 (1996) 231–248.

    Google Scholar 

  32. [32]

    A. Veldkamp and L.O. Fresco, Exploring land use scenarios, an alternative approach based on actual land use, Agricultural Systems 55 (1997) 1–17.

    Google Scholar 

  33. [33]

    G.H.J. De Koning, A. de Veldkamp and L.O. Fresco, Land use in Ecuador: a statistical analysis at different aggregation levels, Agriculture, Ecosystems and Environment 70 (1998) 231–247.

    Google Scholar 

  34. [34]

    G.H.J. De Koning, P.H. Verburg, A. Veldkamp and L.O. Fresco, Multi-scale modelling of land use change dynamics in Ecuador, Agricultural Systems 61(2) (1999) 77–93.

    Google Scholar 

  35. [35]

    P.H. Verburg, G.H.J. De Koning, K. Kok, A. Veldkamp and J. Bouma, A spatially explicit allocation procedure for modelling the pattern of land use change based upon actual land use, Ecological Modelling 116(1) (1999) 45–61.

    Google Scholar 

  36. [36]

    A. Veldkamp and L.O. Fresco, Reconstructing land use drivers and their spatial scale dependence for Costa Rica (1973 and 1984), Agricultural Systems 55 (1997) 19–43.

    Google Scholar 

  37. [37]

    G.H.J. De Koning, A. Veldkamp and L.O. Fresco, Exploring changes in Ecuadorian land use for food production and their effects on natural resources, Journal of Environmental Management 57(4) (1999) 221–237.

    Google Scholar 

  38. [38]

    K. Kok and M. Winograd, Modelling land-use change for Central America, with special reference to the impact of hurricane Mitch, Ecological Modelling (in press).

  39. [39]

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

    Google Scholar 

  40. [40]

    P.H. Verburg, A. Veldkamp and J. Bouma, Land use change under conditions of high population pressure: the case of Java, Global Environmental Change 9(4) (1999) 303–312.

    Google Scholar 

  41. [41]

    K. Kok and A. Veldkamp, Multi-scale land use modelling using the CLUE-modelling framework, in: Tools for Land Use Analysis at Different Scale Levels, with Case Studies for the Atlantic Zone of Costa Rica, eds. B.A.M. Bouman, H.G.P. Jansen, R.A. Schipper, A. Nieuwenhuyse and H. Hengsdijk (Kluwer Academic Publishers, Dordrecht, The Netherlands, 2000).

    Google Scholar 

  42. [42]

    J. Fox, R. Kanter, S. Yarnasarn, M. Ekasingh and R. Jones, Farmer decision making and spatial variables in Northern Thailand, Environmental Management 18 (1994) 391–399.

    Google Scholar 

  43. [43]

    S.J. Walsh, A. Moody, T.R. Allen and G. Brown, Scale dependence of NDVI and its relationship to mountainous terrain, in: Scale in Remote Sensing and GIS, eds. D.A. Quattrochi and M.F.Goodchild (Lewis Publishers, Boca Raton, USA, 1997) pp. 27–55.

    Google Scholar 

  44. [44]

    S.J. Walsh, T.P. Evans, W.F. Welsh, B. Entwisle and R.R. Rindfuss, Scale dependent relationships between population and environment in Northeastern Thailand, Photogrammetric Engineering and Remote Sensing 65 (1999) 97–105.

    Google Scholar 

  45. [45]

    S. Hoshino, Statistical analysis of land-use change and driving forces in the Kansai District, Japan. Working paper WP–96–120, International Institute for Applied Systems Analysis, Laxenburg (1996).

    Google Scholar 

  46. [46]

    W.B. Meyer, D. Gregory, B.L. Turner II, P.F. McDowell, The localglobal continuum, in: Geography's Inner Worlds, eds. R.F. Abler, M.G. Marcus and J.M. Olson (Rutgers University Press, New Brunswick, 1992) pp. 255–279.

    Google Scholar 

  47. [47]

    L.O. Fresco, Agro-ecological knowledge at different scales, in: Eco-Regional Approaches for Sustainable Land Use and Food Production, eds. J. Bouma, A. Kuyvenhoven, B.A.M. Bouman, J.C. Luyten and H.G. Zandstra (Kluwer Academic Publishers, Dordrecht, The Netherlands, 1995) pp. 133–141.

    Google Scholar 

  48. [48]

    A. Pfaff, What drives deforestation in the Brazilian amazon?, Journal of Environmental Economics and Management 37 (1999) 26–43.

    Google Scholar 

  49. [49]

    S.R. Dovers, A framework for scaling and framing policy problems in sustainability, Ecological Economics 12 (1995) 93–106.

    Google Scholar 

  50. [50]

    P.H. Verburg, Y.Q. Chen and A. Veldkamp, Spatial explorations of land use change and grain production in China, Agriculture, Ecosystems and Environment 82 (2000) 333–354.

    Google Scholar 

  51. [51]

    P.H. Verburg, Y.Q. Chen, S. Soepboer and A. Veldkamp, GIS-based modeling of human–environment interactions for natural resource management, in: Proceedings of the 4th International Conference on Integrating Geographic Information Systems and Environmental Modeling: Problems, Prospects, and Needs for Research, eds. B.O. Parks, K.M. Clarke and M.P. Crane (2000 Sep. 2–8; Boulder, CO) (University of Colorado, Cooperative Institute for Research in Environmental Science, Boulder, 2000) (www and CD).

    Google Scholar 

  52. [52]

    P.H. Verburg and Y.Q. Chen, Multi-scale characterization of land-use patterns in China, Ecosystems 3 (2000) 369–385.

    Google Scholar 

  53. [53]

    K. Kok, A. Farrow, A. Veldkamp and P.H. Verburg, A method and application of multi-scale validation in spatial land use models, Agriculture, Ecosystems and Environment 85 (2001) 223–238.

    Google Scholar 

  54. [54]

    E. Irwin and J. Geoghegan, Theory, data, methods: developing spatially-explicit economic models of land use change, Agriculture, Ecosystems and Environment 85 (2001) 7–24.

    Google Scholar 

  55. [55]

    H. Briassoulis, Analysis of land use change: Theoretical and modeling approaches, West Verginia University, Morgantown (2000).

    Google Scholar 

  56. [56]

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

    Google Scholar 

  57. [57]

    F. Bousquet, I. Bakam, H. Proton and C. LePage, Cormas: Commonpool resources and multi-agent systems, in: Lecture Notes in Artificial Intelligence, Vol. 1416 (1998) pp. 826–837.

    Google Scholar 

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Veldkamp, A., Verburg, P., Kok, K. et al. The Need for Scale Sensitive Approaches in Spatially Explicit Land Use Change Modeling. Environmental Modeling & Assessment 6, 111–121 (2001).

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  • driving factors
  • interdisciplinary
  • land use change
  • modeling
  • scale