Simulation Model Using the SMA Approach for Zoning Conservation Units in the Amazon
Abstract
This article presents the definition of a simulation model, as well as simulations using software, to serve as an instrument for analyzing the dynamics of occupation of agricultural areas in conservation units in the Amazon. The simulation model uses the multi-agent system (SMA) approach based on agent populations and their relationships. As agents, classes of land use / vegetation cover and farmers were defined, in three different scenarios: preservative, intermediate and gradual. CORMAS software was developed for simulation, developed by the French Agricultural Research Center for International Development - CIRAD. In relation to the environments, a hypothetical and a real one were used, based on the map of the Uacari reserve, in the municipality of Carauai in the legal Amazon.
Keywords:
Simulation, SMA Approach, Zoning of Units, Amazon Conservation
References
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Bousquet, F. and Le Page, C. (2004). Multi-agent simulations and ecosystem management: a review. Ecological Modelling, 176(3-4):211–424.
Bousquet, F., Trebuil, G., and Hardy, B., editors (2005). Companion modeling and multiagent systems for integrated natural resource management in asia. Metro Manila, Philippines : International Rice Research Institute. ISBN: 9712202089.
Deadman, P. and Gimblett, H. R. (1994). A role for goal-oriented autonomous agents in modelling people-environment interactions in forest recreation. Mathematical and Computer Modelling, 20:121–133.
Dean, J. S., Gumerman, G. J., Epstein, J. M., Axtell, R. L., Swedlund, A. C., Parker, M. T., and McCarroll, S. (2000). Understanding anasazi culture change through agent-based modeling. pages 179–205.
ESRI (2010). ESRI ASCII Raster format. http://webhelp.esri.com/arcgisdesktop/9.2/index.cfm?TopicName=Raster_to_ASCII_(Conversion).
Gonzalez, R. C. and Woods, R. E. (2002). Digital Image Processing. Prentice-Hall, EUA,2nd edition.
Holling, C. S. (1987). Simplifying the complex: The paradigms of ecological function and structure. European Journal of Operational Research, 30(2):139–146.
Huhns, M. N. and Singh, M. P., editors (1998). Readings in Agents. Morgan Kaufmann, San Francico, USA. ISBN 1-55860-495-2.
Italia Lab (TILAB), T. Java Agent DEvelopment framework - JADE. Online. http://jade.tilab.com.
Marinelli, C. E., Carlos, H. S. A., Batista, R., Rohe, F., and Waldez, F. (2007). O programa de monitoramento da biodiversidade e do uso de recursos naturais em unidades de conservação estaduais do amazonas. ̃ Areas Protegidas da Amazônia ARPA ˆ , 1:75–78.
Mesquita, R. and Marinelli, C. E. amd Pinheiro, P. S. (2007). Quando a ciencia ajuda a formulação de políticas de conservação na amazônia. In Py-Daniel, L. R., Deus, C. P., Henriques, A. L., Pimpao, D. M., and Riberiro, O. M., editors, ̃ Biodiversidade do Medio Madeira: Bases cientıficas para propostas de conservação , pages 239–244. Manaus: INPA.
Weiss, G., editor (2000). Multiagent Systems: a Modern Approach to Distributed Artificial Intelligence. The MIT Press, Cambridge, USA, 2nd edition. ISBN 0-262-23203-0.
Wooldridge, M. (2002). An Introduction to MultiAgent Systems. John Wiley & Sons, Ltd.,Sussex, England. ISBN 0-471-49691-X.
Published
2010-06-16
How to Cite
MARINELLI, Carlos Eduardo; COELHO, Cassio Giorgio; RALHA, Celia Ghedini; ZAGHETTO, Alexandre; MACCHIAVELLO, Bruno.
Simulation Model Using the SMA Approach for Zoning Conservation Units in the Amazon. In: BRAZILIAN SYMPOSIUM ON INFORMATION SYSTEMS (SBSI), 6. , 2010, Marabá.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2010
.
p. 73-84.
DOI: https://doi.org/10.5753/sbsi.2010.14702.
