Special Column:Celebration of the 70th Anniversary of IGSNRR, CAS

A Review on Multi-Agent System for the Simulation of Land-Use and Land-Cover Change

  • 1. Department of Urban and Resource Sciences, Northwest University, Xi'an 710069, China;
    2. Institute of Soil and Water Conservation, CAS and Ministry of Water Resources, Northwest Sci-Tech University of Agriculture & Forestry, Yangling 712100, China

Received date: 2007-07-25

  Revised date: 2007-09-03

  Online published: 2008-03-25


In fine-scale and area scale, MAS/LUCC models are particularly well suited for representing complex spatial interactions under heterogeneous conditions and for modeling decentralized, autonomous decision making. Current researchers choose to use MAS/LUCC models in three topic areas: natural resource management, agricultural economics and urban simulations. At the present time, researchers focus on three aspects: the agent decision-making, the agent interaction and the model multi-scale analysis. Through reviewing on multi-agent system of simulation, four conclusions can be drawn: first, the frame of agent decision-making should be improved, especially the frame of bounded rationality decision-making. Second, the research on the agent interaction still use qualitative and conceptual method, it is necessary to explore the quantitative method to analyze interaction among agents. Third, there are three methods in multi-scale topic research. Through the transform mechanism of different scales being clear in the first method, it is difficult to explicit spatially the decision-making. The second method may explicit spatially the decision-making, but the explanation power between LUCC and decision-making is not strong. The third method may reveal the relationship between the complexities and the decision-making, which is simple to deal with the agent interaction. Finally, it is necessary to seek the methods of verification and validation upon MAS model.

Key words: LUCC; MAS model; model

Cite this article

CHEN Hai, LIANG Xiao-ying, GAO Hai-dong, WANG Tao . A Review on Multi-Agent System for the Simulation of Land-Use and Land-Cover Change[J]. JOURNAL OF NATURAL RESOURCES, 2008 , 23(2) : 345 -352 . DOI: 10.11849/zrzyxb.2008.02.019


[1] 刘东生.全球变化与可持续发展[J].地学前缘,2002,21(3):195~203. [2] 刘燕华,葛全胜,张雪芹,等.关于中国全球环境变化人文因素研究发展方向的思考[J].地球科学进展,2004,19(4):890~895. [3] Costanza R, Ruth M. Using dynamoic modeling to cope environmental problems and build consensus[J]. Environmental Management,1998,22:183-195. [4] Ferber J. Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence[M]. Addison-Wesley, Reading, MA.,1999. [5] 葛全胜,陈泮勤,方修琦,等.全球变化的区域适应研究:挑战与研究对策[J].地球科学进展,2004,19(4):516~524. [6] Lambin E F. Modeling and monitoring land-cover change processes in tropical regions[J]. Progress in Physical Geography,1997,21:375-393. [7] Lambin E F, Rounsevell M D A, Geist H J. Are agricultural land-use models able to predict changes in land-use intensity?[J]. Agricultural, Ecosystems and Environmental,2000,82:321-331. [8] Verburg P H, Veldkamp A, Fresco L O. Simulation of changes in the spatial pattern of land use in China[J]. Applied Geography,1999,19:211-233. [9] Purnomo Herry, Guillermo A. Developing multi-stakeholder forest management scenarios: A multi-agent system simulation approach applied in Indonesia[J]. Forest Policy and Economics, 2005,7:475-491. [10] Torrens P M, D O’Sullivan. Cellular automata and urban simulation: Where do we go from here? [J]. Environment and Planning B,2001,28 (2):163-68. [11] Veldamp A, Fresco L O. CLUE: A conceptual model to study the conversion of land use and its effects[J]. Ecological Model,1996,85:253-270. [12] 何春阳,史培军,陈晋,等.北京城市化过程与机制分析[J].地理学报,2002,57(3):363~371. [13] 史培军,江源,等.土地利用/覆盖变化与生态安全响应机制[M].北京:科学出版社,2004. [14] Turner B L Ⅱ. Vulnerability as a human-environmental interaction: Example from Southern Yucatan. Abtracts of Global Change Open Science Conference. Congrex Holland BV. Amsterdam, The Netherland,2001. [15] 蔡运龙.土地利用/土地覆被变化研究:寻求新的综合途径[J].地理研究,2001,20(6):645~652. [16] 李秀彬.土地利用变化的解释[J].地理科学进展,2002,21(3):195~203. [17] Bousquet F, C Le Page. Multi-agent simulations and ecosystem management: A review[J]. Ecological Modeling,2004,176:313-332. [18] Maes P. Modeling adaptive autonomous agent[J]. Artificial Life,1994,1:135-162. [19] Ligtenberg Arend, Arnold K Bregt. Multi-actor-based land use modeling: Spatial planning using agents[J]. Landscape and Urban Planning,2001,56:21-33. [20] 刘洪.未来的经济组织形态:多智能体组织[J].自然杂志,2004,26(4):227~233. [21] Parker D C, Manson S M, Janssen M A, et al. Multi-agent systems for the simulation of land-use and land-cover change: A review[J]. Annals of the Association of American Geographers,2003,93(2):314-337. [22] Payraudeau Sylvain, Hayo M G van der Werf. Environmental impact assessment for a farming region: A review of methods[J]. Agriculture, Ecosystems and Environment,2005,107:1-9. [23] Veldkamp A, Verburg P H. Modeling land use change and environmental impact[J]. Journal of Environmental Management,2004,72:1-3. [24] Irwin E G, Geoghegan J. Theory, data, methods: developing spatially explicit economic models of land use change[J]. Agriculture, Ecosystems and Environment,2001,85:7-23. [25] Bockstael N E. Modeling economics and ecology: The importance of a spatial perspective[J]. Am. J. Agr. Econ.,1996,78:1168-1180. [26] Evans Tom P, Aaron Manire. A dynamic model of household decision-making and parcel level Landover change in the eastern Amazon[J]. Ecological Modeling,2001,143:95-113. [27] Xia Li, Xiaoping Liu. Defining agents’ behaviors to simulate complex residential development using multi-criteria evaluation[J]. Journal of Environmental Management,2006,Forthcoming. [28] 刘小平,黎夏,等.基于多智能体的土地利用模拟与规划模型[J].地理学报,2006,61(10): 1101~1112. [29] Thomas Berger. Agent-based spatial models applied to agriculture: A simulation tool for technology diffusion, resource use changes and policy analysis[J]. Agricultural Economics,2001,25:245-260. [30] Ligtenberg Arend, Monica Wachowicz. A design and application of a multi-agent system for simulation of multi-actor spatial planning[J]. Journal of Environmental Management,2004,72: 43-55. [31] Marco G A Huigen. First principles of the MameLuke multi-actor modeling framework for land use change, illustrated with a Philippine case study[J]. Journal of Environmental Management,2004,72:5-21. [32] Irwin E G, Bockstael N E. Interacting agents, spatial externalities, and the endogenous evolution of residential land use patterns. Department of Agricultural, Environmental, and Development Economics Working Paper AEDE-WP-0010-01, The Ohio State University,2001. [33] Rouchier J, F Bousquet. A multi-agent model for describing transhumance in North Cameroon: Comparison of different rationality to develop a routine[J]. Journal of Economic Dynamics and Control,2001,25:527-59. [34] Milner-Gulland E J, Kerven C A. Multi-agent system model of pastoralist behavior in Kazakhstan [J]. Ecological Complexity,2006,3:23-36. [35] Claude Schmit, M D A Rounsevell. Are agricultural land use patterns influenced by farmer imitation?[J]. Agriculture, Ecosystems and Environment,2006,115:113-127. [36] Evans Tom P, Hugh Kelley. Multi-scale analysis of a household level agent-based model of landcover change[J]. Journal of Environmental Management,2004,72:57-72. [37] Jacqueline Geoghegan, Sergio Cortina Villar. Modeling tropical deforestation in the southern Yucatán peninsular region: Comparing survey and satellite data[J]. Agriculture Ecosystems and Environment,2001,85:25-46. [38] 张华,张勃.国际土地利用/覆盖变化模型研究综述[J].自然资源学报,2005,20(3):422~431. [39] http://www.swarm.org/. [40] http://repast.sourceforge.net/. [41] http://cormas.cirad.fr/indexeng.htm/ . [42] Volker Grimm, Uta Berger, et al. A standard protocol for describing individual-based and agent-based models[J]. Ecological Modeling,2006,198:115-126. [43] Manson S M. Agent-based dynamic spatial simulation of land-use/cover change in the Yucata'n peninsula, Mexico. Paper presented at the Fourth International Conference on Integrating GIS and Environmental Modeling (GIS/EM4), Banff, Canada, 2-8 September.2000. [44] Deadman P J, E Schlager. Models of individual decision making in agent-based simulation of common-pool resource management institutions. In: H R Gimblett. Integrating Geographic Information Systems and Agent-based Modeling Techniques for Simulating Social and Ecological Processes. New York: Oxford University Press,2002.137-169. [45] Heuvelink G. Developments in statistical approaches to spatial uncertainty and its propagation[J]. International Journal of Geographical Information Science,2002,16(2):111-13. [46] Pontius R G, L Schneider. Land-use change model validation by a ROC method[J]. Agriculture, Ecosystems, and Environment,2001,85(1-3):239-248. [47] Miller J H. Active nonlinear tests (ANTs) of complex simulation models[J]. Management Science, 1998,44(6):820-830. [48] Bousquet F, I Bakam, H Proton, et al. Cormas: Common-pool resources and multi-agent systems[J]. Lecture Notes in Artificial Intelligence,1998,1416:826-837. [49] 李小建.经济地理学中的农户研究[J].人文地理,2005,20(3):1~5.