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Dynamically Tracking the Real World in an Agent-Based Model Read chapter Read first chapter

2014 | OriginalPaper | Chapter

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

Authors : Benoit Gaudou, Christophe Sibertin-Blanc, Olivier Therond, Frédéric Amblard, Yves Auda, Jean-Paul Arcangeli, Maud Balestrat, Marie-Hélène Charron-Moirez, Etienne Gondet, Yi Hong, Romain Lardy, Thomas Louail, Eunate Mayor, David Panzoli, Sabine Sauvage, José-Miguel Sánchez-Pérez, Patrick Taillandier, Nguyen Van Bai, Maroussia Vavasseur, Pierre Mazzega

Published in: Multi-Agent-Based Simulation XIV

Publisher: Springer Berlin Heidelberg

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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).

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previous chapter Validating Simulated Networks: Some Lessons Learned
next chapter Globalisation, Regionalisation and Behavioural Responses of Land Use Agents
Footnotes
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
Corine Land Cover France website: http://​sd1878-2.​sivit.​org/​ (as of 26/03/2012).
 
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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Metadata
Title
The MAELIA Multi-Agent Platform for Integrated Analysis of Interactions Between Agricultural Land-Use and Low-Water Management Strategies
Authors
Benoit Gaudou
Christophe Sibertin-Blanc
Olivier Therond
Frédéric Amblard
Yves Auda
Jean-Paul Arcangeli
Maud Balestrat
Marie-Hélène Charron-Moirez
Etienne Gondet
Yi Hong
Romain Lardy
Thomas Louail
Eunate Mayor
David Panzoli
Sabine Sauvage
José-Miguel Sánchez-Pérez
Patrick Taillandier
Nguyen Van Bai
Maroussia Vavasseur
Pierre Mazzega
Copyright Year
2014
Publisher
Springer Berlin Heidelberg
Book
Multi-Agent-Based Simulation XIV

Print ISBN: 978-3-642-54782-9

Electronic ISBN: 978-3-642-54783-6

Copyright Year: 2014

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

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