The MAELIA Multi-Agent Platform for Integrated Analysis of Interactions Between Agricultural Land-Use and Low-Water Mana
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 t
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505 IRIT, CNRS, University of Toulouse, Toulouse, France {benoit.gaudou, Christophe.Sibertin-Blanc}@ut-capitole.fr 2 UMR 1248 AGIR, INRA-INPT, Castanet-Tolosan, France [email protected] 3 UMR 5563 GET, IRD-UPS-CNRS-CNES, OMP, Toulouse, France 4 INP, UPS; EcoLab, Université de Toulouse, 31326 Castanet Tolosan, France 5 CNRS, EcoLab, 31062 Toulouse, France 6 Centre Universitaire Jean-François Champollion, Albi, France 7 UMR 6266 IDEES, CNRS, University of Rouen, Rouen, France 8 Joint Mixt Laboratory OCE, UnB/IRD, LAGEQ, Universidade de Brasília, Brasília, Brazil
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). Keywords: Social-ecological systems Water management assessment and modeling Agent-based model
Integrated
Benoit Gaudou, Christophe Sibertin-Blanc, Olivier Therond—These authors contributed equally to this work. S.J. Alam and H. Van Dyke Parunak (Eds.): MABS 2013, LNAI 8235, pp. 85–100, 2014. DOI: 10.1007/978-3-642-54783-6_6, Springer-Verlag Berlin Heidelberg 2014
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1 Introduction Environmental and resource management problems are typically complex. They concern many actors with diverse and contrasting interests and objectives. They emerge into social-ecological systems (SES, i.e. coupled human-environment systems) in which four first-level core subsystems interact: two ecological ones (i) resource systems (e.g. water systems); (ii) resource units (e.g. water volume and flow) and two social ones (iii) governance systems (e.g., organizations that manage water resources and systems); and (iv) users (e.g. individuals and collectives who use water) [8]. Interactions within and between these subsystems give rises to emergent structures and functions at sub and whole system levels [11]. During the last decades, integrated assessment has been playing an increasing role to address sustainability issues and the associated environmental and resources management problems [9]. Integrated Assessment and Modelling (IAM) purpose is to assemble data and knowledge from a wide range of scientific disciplines and put them into a ‘‘policy oriented context’’ in order to analyse complex system responses to changes and design sound sustainable management and development strategies [9]. It is a model-based
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