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Characterising Land Holding Size Distributions in a Forest Reserve

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This paper intends to characterise the land holding distributions in a Multi-Agent Based Simulation (MABS) model inspired by the Caparo Forest Reserve, in Venezuela. This forest has been highly intervened with and seriously altered by opportunistic, nomadic, land-seeking colonists. The distribution of land holding results from a process of land encroachment, allowed by a weak state showing ambiguous behaviour and regulations, permitting the rise of a land market in the forest area. A thorough understanding of this process is achieved by, first, modelling and simulating individual landowner's decision-making regarding land occupation, and secondly, characterising the collective land occupation process in the simulation model. The size distribution of land holding appears to be exponential rather than power law, as was initially expected. The paper not only explores whether leptokurtic distributions emerge in this complex social environment but also tries to identify the specific mechanisms and model assumptions that lead to these sorts of distributions, instead of alternative ones. Additionally, this paper relates these mechanisms to market structures and interactions, in order to give the results a richer real-world interpretation.

Suggested Citation

  • Oswaldo Terán & Johanna Alvarez & Magdiel Ablan & Manuel Jaimes, 2007. "Characterising Land Holding Size Distributions in a Forest Reserve," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(3), pages 1-6.
  • Handle: RePEc:jas:jasssj:2006-70-2
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    1. Scott Moss & Helen Gaylard & Steve Wallis & Bruce Edmonds, 1998. "SDML: A Multi-Agent Language for Organizational Modelling," Computational and Mathematical Organization Theory, Springer, vol. 4(1), pages 43-69, March.
    2. Rosaria Conte & Mario Paolucci, 2001. "Intelligent Social Learning," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(1), pages 1-3.
    3. Scott Moss, 2001. "Game Theory: Limitations and an Alternative," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(2), pages 1-2.
    4. Berger, Thomas, 2001. "Agent-based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis," Agricultural Economics, Blackwell, vol. 25(2-3), pages 245-260, September.
    5. Scott Moss & Bruce Edmonds & Steve Wallis, 1997. "Validation and Verification of Computational Models with Multiple Cognitive Agents," Discussion Papers 97-25, Manchester Metropolitan University, Centre for Policy Modelling.
    6. Bruce Edmonds & David Hales, 2004. "When and Why Does Haggling Occur? Some Suggestions from a Qualitative but Computational Simulation of Negotiation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 7(2), pages 1-9.
    7. Happe, Kathrin & Kellermann, Konrad & Balmann, Alfons, 2006. "Agent-based analysis of agricultural policies: An illustration of the agricultural policy simulator AgriPoliS, its adaptation and behavior," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 11(1).
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