Original Articles

Advance in and Tendencies of Land Use and Cover Change Model

  • College of Urban and Environmental Sciences, Peking University, Beijing 100871, China

Online published: 2009-09-25


LUCC models are conducive to better understand the dynamics of land use system. LUCC models have advanced significantly both in theory and practice over the past decade, and developing new generation of LUCC models is considered as the main task of Global Land Project. From the perspective of epistemology, based on analyses of case studies on LUCC modeling and approaches to quantify the relationship between land use change and its driven forces, LUCC models fall into three categories: empirical-statistical models, concept mechanism models and integrated models, and then the concept, technique and method concerned, application, existing drawback of each type are analyzed. The conclusion is presented as follows. Each type can address specific issues in the field of LUCC, and meanwhile, has its own drawbacks and limits. (1) Empirical-statistical models, including exploratory data analysis, regression, Bayesian and training, attempt to identify explicitly the causes of land use change using multivariate analyses of possible exogenous contributions to gain empirically-derived rates of changes. However, the findings of links between land use change and its driving forces are not equal to causal relationships. Also, a model that fits well in a specific region or at one scale performs poorly out of that region or scale. (2) Concept mechanism models, in this paper embracing economic models and agent-based models, are mainly applied to simulate operation and evolution of a variety of processes based on a series of laws and theories. Although they are strongly deductive, deflects are evident in terms of their complexity and data. (3) Integrated models can be defined as combining elements of these different modeling techniques to seek for reasonable resolutions to specific issues. But the level of integration is not always high currently so that they cannot reflect the objectivity of research subject. At present, in terms of spatial/temporal scale and data, a variety of common issues still trouble LUCC modelers. The tendencies of future LUCC models mainly manifest themselves at the following aspects: dealing with multi-scale issues effectively; assessing and addressing problems in terms of spatial neighborhood effect and temporal dynamics; integrating analysis and modeling land sustainability.

Cite this article

ZHU Likai, MENG Jijun . Advance in and Tendencies of Land Use and Cover Change Model[J]. PROGRESS IN GEOGRAPHY, 2009 , 28(5) : 782 -790 . DOI: 10.11820/dlkxjz.2009.05.017


[1]  Turner Ⅱ B L, Lambin E F, Reenberg A. The emergence of land change science for global environmental change and sustainability. PNAS, 2007, 104(52): 20666-20671.

[2]  蔡运龙. 自然地理学的创新视角. 北京大学学报(自然科学版), 2000, 36(4): 576-582.

[3]  TurnerⅡ B L, Skole D, Sanderson S, et al. Land-use and land-cover change science / research plan. 1995. IHDP Report No. 07.

[4]  Moran E, Ojima D, Buchmann N, et al. Global land project: science plan and implementation strategy. 2005. IGBP Report NO. 53/IHDP Report NO.19.

[5]  李秀彬. 土地利用变化的解释. 地理科学进展, 2002, 21(3): 195-203.

[6]  Verburg P H, Schot P P, Dijst M J. Land use change modeling: Current practice and research priorities. GeoJournal, 2004, 61: 309-324.

[7]  Costanza R, Ruth M. Using dynamic modeling to scope environmental problems and building consensus. Environmental Management, 1998, 22: 183-195.

[8]  Bilsborrow R E, Okoth Ogonnodo H W O. Population-driven change in land use in developing countries. Ambio, 1992, 21: 37-45.

[9]  Lambin E F. Modeling and monitoring land-cover change processes in tropical regions. Progress in Physical Geography, 1997,(21): 375-393.

[10] Kaimowitz D, Angelson A. Economic models of tropical deforestation: A review. Central for International Forestry Research, Jakarta, 1998, 139.

[11] Miller E J, Kriger D S.TCRP web document 9: Integrated urban models for simulation of transit and land use policies. University of Toronto Joint Program in Transportation and DELCAN Corporation, Toronto.

[12] Parker D C, Manson S M, Janssen M A, et al. Multi-agent systems for the simulation of the land use and land cover change: a review. Annual of Association of American Geographer, 2003, 93: 314-337.

[13] Lambin E F, Rounsevell M D A, Geist H J. Are agricultural land use models able to predict changes in land use intensity? Agricultural, Ecosystem and Environment, 2000, 82: 321-331.

[14] Briassoulis H. Analysis of land use change: Theoretical and modeling approaches. In: Loveridge S. (ed.) The Web Book of Regional Science at http://www.rri.wvu.edu/regscweb.html. West Virginia University,   Morgantown.

[15] Lesschen J P, Verburg P H, Staal S J. Statistical methods for analyzing the spatial dimension of changes in land use and farming system. LUCC Report Series NO.7, 2005

[16] Gobin A, Campling P, Feyen J. Logistic modelling to identifying and monitor local land management systems. Agricultural Systems, 2001, 61: 1-20.

[17] de Koning G H J, Veldcamp A, Fresco L O. Land use in Ecuador: A statistical analysis at different aggregation levels. Agriculture, Ecosystems and Environment, 1998, 70: 231-247.

[18] 王静, 何挺, 郭旭东, 等. 基于逻辑回归模型的环北京地区土地退化态势分析. 地理科学进展, 2005, 24(5): 23-32

[19] 摆万奇, 阎建忠, 张镱锂. 大渡河上游地区土地利用/覆被变化与驱动力分析. 地理科学进展, 2004, 23(1): 71-78.

[20] Müller D, Zeller M. Land use dynamics in the central highlands of Vietnam: A spatial model combining village survey data with satellite imagery interpretation. Agricultural Economics, 2002, 27(3): 333-354.

[21] Chomitz K M, Thomas T S. Determinants of land use in Amazonia: A fine-scale spatial analysis. American Journal of Agricultural Economics, 2003, 85(4): 1016-1028.

[22] Hoshino S. Multi-level modeling on farmland distribution in Japan. Land Use Policy, 2001, 18: 75-90.

[23] TurnerⅡB L, Ross R H, Skole D L. Relating land use and global land cover change. IGBP report NO.24/IHDP report NO.5.

[24] Veldkamp A, Fresco L O. Reconstructing land use drivers and their spatial scale dependence for Costa Rica (1973and 1984). Agricultural Systems, 1997, 55(1): 19-43.

[25] Hary I, Schwartz H J, Pielert V H C, et al. Land degradation in African pastoral system and the destocking controversy. Ecological Modelling, 1996, 23: 227-233.

[26] 张明. 土地利用结构及其驱动因子的统计分析. 地理科学进展, 1997, 16(4): 19-26.

[27] Kobrich C, Rehman T, Khan M. Typification farming systems for constructing representative farm models: Two illustrations of the application of multivariate analyses in Chile and Pakistan. Agricultural Systems, 2003, 76: 141-157.

[28] Hietel E, Waldhardt R, Otte A. Analyzing the land cover changes in relation to environmental variables in Hesse, Germany. Landscape Ecology, 2004, 19: 473-489.

[29] de Almeida C M, Batty M, Vieira Monteiro A M, et al. Stochastic cellular automata modeling of urban land use dynamics: Empirical development and estimation. Computer, Environment and Urban Systems, 2003, 27: 481-509.

[30] Agarwal D K, Silander J J A, Gelfand A E, et al. Tropical deforestation in Madagascar: Analysis using hierarchical, spatial explicit, Bayesian regression models. Ecological Modelling, 2005, 185(1): 105-131.

[31] Pijinowski B C, Pithidia S, Shellito B A, et al. Using artificial network and GIS to forecast land use changes: a land transformation model. Computers, Environment and Urban System, 2002, 26: 553-575.

[32] Li X, Yeh A G.-O, Neural-network-based cellular automata for simulating multiple land use change using GIS. International Journal of Geographical Information Systems, 2002, 16(4): 323-343.

[33] Hoshino S. Statistical analysis of land-use change and driving forces in the Kansai District, Japan. WP-96-120. Laxenburg, II ASA. II ASA working papers.

[34] 谢花林, 刘黎明, 李波, 等. 土地利用变化的多尺度空间自相关分析: 以内蒙古翁牛特旗为例. 地理学报, 2006, 61(4): 389-400.

[35] Augustin N H, Muggletone M A, Buckland S T. An autologistic model for the spatial distribution of wildlife. Journal of Applied Ecology, 1996, 33: 339-347.

[36] 吴桂平, 曾永年, 邹滨, 等. Autologistic 方法在土地利用格局模拟中的应用: 以张家界市永定区为例. 地理学报, 2008, 63(2): 156-164.

[37] Overmars K P, Verburg P H, Veldkamp T A. Comparison of a deductive approach to specify land suitability in a spatial explicit land use model. Land Use Policy, 2007, 24: 584-599.

[38] Rusen R, Moll H, Kuyvenhoven A. Integrating agricultural research and policy analysis: Analytical framework and policy applications for bio-economic modeling. Agricultural Systems,1998, 58: 331-349.

[39] Rasul G, Thapa G B, Zoebisch M A. Determinants of land-use changes in the Chittagoon hill tracts of Bangladesh. Applied Geography, 2004, 24: 217-240.

[40] Fischer G, Sun L X. Model based analysis of future land-use development in China. Agriculture, Ecosystems and Environment, 2001, 85: 163-176.

[41] 吴文斌, 杨鹏, 柴崎亮介, 等. 基于Agent的土地利用/土地覆盖变化模型的研究进展. 地理科学, 2007, 27(4): 573-578.

[42] 蔺卿, 罗格平, 陈曦. LUCC驱动力模型研究综述. 地理科学进展, 2005, 24(5): 79-87.

[43] 张华, 张勃. 国际土地利用/覆盖变化模型研究综述. 自然资源学报, 2005, 20(3): 422-431.

[44] Geoghegan J, Wainger L A, Bockstael N E. Spatial landscape indices in a hedonic framework: An ecological economic analysis using GIS. Ecological Economics, 1997, 23: 251-264.

[45] Rotmans J, van Asselt M B A. Uncertainty management in integrated assessment modeling: Towards a pluralistic approach. Environmental Monitoring and Assessment, 2001, 69: 101-130.

[46] Veldkamp A, Fresco L O. CLUE: A conceptual model to study the conversion of land use and its effects. Ecological Modelling, 1996, 85: 253-270.

[47] Verburg P H, de Koning G H J, Kok K, 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.

[48] 蔡玉梅, 刘彦随, 宇振荣, 等. 土地利用变化空间模拟的进展: CLUE-S模型及其应用. 地理科学进展, 2004, 23(4): 63-71.

[49] Strengers B, Leemans R, Eickhout B, et al. The land-use projections and resulting emissions in the IPCC SRES scenarios as simulated by the IMAGE2.2 model. GeoJournal, 2004, 61: 381-393.

[50] Shaw S L, Xin X H. Integrated land use and transportation interaction: A temporal GIS exploratory data analysis approach. Journal of Transport Geography, 2003, 11: 103-115.

[51] Briassoulis H. Policy-oriented integrated analysis of land use change: Analysis of data needs. Environmental Management, 2001, 27(1): 1-11.

[52] Petschel-Held G, Block A, Cassel-Gintz M, et al. Syndromes of global change: A quantitative modeling approach to assist global environmental management, Environmental Modeling and Assessment, 1999, 4: 295-314.

[53] Gibson C C, Ostrom E, Anh T K, The concept of scale and the human dimension change: A survey. Ecological Economics, 2000, 32: 217-239.

[54] Schulze R. Transcending scale and time in impact studies of climate and climate change on agrohydrological responses. Agriculture, Ecosystems and Environment, 2000, 82: 185-212.

[55] Rindfuss R R, Walsh S J, TurnerⅡ B L. Developing a science of land change: Challenges and methodological issues. PNAS, 2004, 101(39): 13976-13981.

[56] Overmars K P, Verburg P H. Analysis of land use drivers at the watershed and household level: Linking two paradigms at the Philippine forest fringe. International Journal of Geographical Information Science, 2005, 19(2): 125-152.

[57] Kok K, Veldkamp A. Evaluating impact of spatial scales on land pattern analysis in Central America. Agiculture Ecosystems and Environment, 2001, 85: 205-221.

[58] Verburg P H. Integrated assessment of the land system: The future of land use. Land Use Policy 2007, 24: 517-520.

[59] 钟太洋, 黄贤金. 农户层面土地利用变化研究综述. 自然资源学报, 2007, 22(2): 342-352.

[60] Sui D Z, Zeng H. Modeling the dynamics of landscape structure in Asia’s emerging desakota regions: A case study in Shenzhen. Landscape and Urban Planning, 2001, 53: 37-52.

[61] Li X, Yeh A G. Modeling sustainable urban development by the integration of constrained cellular automata and GIS. International Journal of Geographical Information Science, 2000, 14: 131-152.

[62] Nelson G C, Geoghehan J. Deforestation and land use road improvements: A spatial econometric analysis. International Regional Science Review, 2004, 27: 297-325.

[63] Costanza R. Model goodness of fit: A multiple resolution procedure. Ecological Modelling, 1989, 47: 199-215.

[64] Pontius Jr R G. Statistical methods to partition effects of quantity and location during comparison of categorical maps at multiple resolutions. Photogrammetric Engineering and Remote Sensing, 2002, 68(10): 1041-1049.

[65] Pontius Jr R G, Batchu K. Using the relative operating characteristic to quantify certainty in prediction of location of land cover change in India. Transactions in GIS, 2003, 7(4): 467-484.

[66] Foley J A, DeFries R, Gregory P A, et al. Global consequences of land use. Science, 2005, 309: 570-574.

[67] Castella J C, Kam S P, Quang D D, et al. Combining top-down and bottom-up modeling approaches of land use/cover change to support public policies: Application to sustainable management of natural resource in northern Vietnam. Land Use Policy, 2007, 24: 531-545.