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The MAELIA Multi-Agent Platform for Integrated Analysis of Interactions Between Agricultural Land-Use and Low-Water Management Strategies

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Multi-Agent-Based Simulation XIV (MABS 2013)

Abstract

The MAELIA project is developing an agent-based modeling and simulation platform to study the environmental, economic and social impacts of various regulations regarding water use and water management in combination with climate change. It is applied to the case of the French Adour-Garonne Basin, which is the most concerned in France by water scarcity during the low-water period. An integrated approach has been chosen to model this social-ecological system: the model combines spatiotemporal models of ecologic (e.g. rainfall and temperature changes, water flow and plant growth) and socio-economic (e.g. farmer decision-making process, management of low-water flow, demography, land use and land cover changes) processes and sub-models of cognitive sharing among agents (e.g. weather forecast, normative constraints on behaviors).

Benoit Gaudou, Christophe Sibertin-Blanc, Olivier Therond—These authors contributed equally to this work.

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Notes

  1. 1.

    http://code.google.com/p/gama-platform/

  2. 2.

    The most important cause of land use change related to our field of investigation is the field plot disappearance, evaluated to one French department par 10 years in France.

  3. 3.

    Corine Land Cover France website: http://sd1878-2.sivit.org/ (as of 26/03/2012).

  4. 4.

    Within the French context, some incoming projects intend to solve these issues, which are also related to difficulties about the availability of data.

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Acknowledgement

The MAELIA Project “Multi-Agents for EnvironmentaL norm Impact Assessment” (http://maelia1.wordpress.com/) is funded by the French “Sciences & Technologies for Aeronautics and Space” Foundation (http://www.fondationstae.net/).

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Correspondence to Benoit Gaudou , Christophe Sibertin-Blanc or Olivier Therond .

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Gaudou, B. et al. (2014). The MAELIA Multi-Agent Platform for Integrated Analysis of Interactions Between Agricultural Land-Use and Low-Water Management Strategies. In: Alam, S., Parunak, H. (eds) Multi-Agent-Based Simulation XIV. MABS 2013. Lecture Notes in Computer Science(), vol 8235. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54783-6_6

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  • DOI: https://doi.org/10.1007/978-3-642-54783-6_6

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