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SimPhy: a simulation game to lessen the impact of phytosanitaries on health and the environment—the case of Merja Zerga in Morocco

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Abstract

Diffuse phytosanitary pollution is a complex phenomenon to manage. Reducing this type of pollution is one of today’s key socio-economic and environmental challenges. At the regional level, few approaches enable the actors concerned to implement agricultural management strategies to reduce the use and impact of phytosanitary products. Our research problem focused on the consequences of intensive agriculture and, in particular, how to evaluate the impact of phytosanitary products on human health and the environment. In this article, we present the SimPhy simulation game which places the actors from a given region directly into a situation in which they manage farms whilst under pressure to reduce phytosanitaries (quantity and toxicity). The application focused on the Merja Zerga catchment area in Morocco. The region is dominated by intensive agriculture which is located upstream from a Ramsar-classified wetland area. The SimPhy simulation game is based on a decision support system-type tool. It allows us to anticipate the impact of regulations on farming systems. It also enables us to analyse the consequences of the actors’ strategies on farm economies, human health and the quality of ecosystems. Initial results from the SimPhy simulation game enabled the technicians from Agricultural Development Center (CDA) themselves to learn about managing agricultural production systems in a dynamic and interactive fashion. With the simulation game, it was possible to learn about the farmer's ability to adapt to new regulatory constraints, and the involved consequences for toxicity risks for human health and the environment.

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Notes

  1. http://www.ramsar.org/cda/en/ramsar-home/main/ramsar/1_4000_0__

  2. CDA: Agricultural Development Center

  3. Field crops: (bread wheat, durum wheat, grain maize), oleaginous plants (sunflowers)

  4. Cash crops: tomatoes, sugar cane, sugar beet

  5. EToPhy software (2011), APP deposit no: IDDN.FR.001.060017.000.D.C.2011.000.31500

References

  • (FOCUS). FftC-oopfmatU (1997) Soil persistence models and EU registration. The final report of the work of the Soil Modelling Work group of FOCUS.

  • (FOCUS). FftC-oopfmatU (2003) Appendix I Steps 1-2 in FOCUS.

  • Affisco JF (2000) My experiences with simulation/gaming - 5 years further down the road. Simul Gaming 31:42–47

    Article  Google Scholar 

  • Agence pour le développement agricole (2009) Plan Maroc Vert. http://www.ada.gov.ma/Plan_Maroc_Vert/plan-maroc-vert.php.

  • Allaya M, Attonaty J-M, Le Bars M, Le Grusse P, Mahjoubi R (eds) (2004) MEDTER: Jeu de simulation pour l'aide à la décision en agriculture. CIHEAM-IAM Montpellier

  • Angelides MC, Paul RJ (1999) A methodology for specific, total enterprise, role-playing, intelligent gaming-simulation environment development. Decis Support Syst 25:89–108

    Article  Google Scholar 

  • Attonaty J-M, Chatelin M-H, Poussin J-C, Soler L-G (1991) Advice and decision support systems in agriculture: new issues. In: Decision Support Systems, Bruges, Belgium.

  • Attonaty J-M, Chatelin M-H, Garcia F (1999) Interactive simulation modelling in farm decision-making. Comput Electron Agric 22:157–170

    Article  Google Scholar 

  • Ayadi H, Le Grusse P, Fabre J, Mandart E, Bouaziz A, Bord J-P (2012) Indicateurs et diagnostic de la pollution phytosanitaire diffuse d’origine agricole : construction d’un indicateur de risque de toxicité environnementale (IRTE). Paper presented at the 42e. Congrès du Groupe Français des Pesticides : Nouveaux Enjeux et Stratégies Novatrices pour la Protection des Plantes Cultivées dans un Contexte de Développement Durable., Poitiers, France,

  • Bazzani GM (2005) An integrated decision support system for irrigation and water policy design:DSIRR. Environ Model Softw 20:153–163

    Article  Google Scholar 

  • Bousquet F, Barreteau O, d'Aquino P, Etienne M, Boisseau S, Aubert S, Le Page C, Babin D, Castella J-C (2002) Multi-agent systems and role games: collective learning processes for ecosystem management. In: Janssen MA (ed) Complexity and Ecosystem Management. The theory and practice of multi-agent systems. Edward Elgar Publishing Limited, pp 248-285

  • Carmona G, Molina JL, Bromley J, Varela-Ortega C, García-Aróstegui JL (2011) Object-oriented Bayesian networks for participatory water management: two case studies in Spain. J Water Resour Plan Manag 137(4):366–376

    Article  Google Scholar 

  • Castella JC, Tran Ngoc T, Boissau S (2005) Participatory simulation of land-use changes in the Northern Mountains of Vietnam: the combined use of an agent-based model, a role-playing game, and a geographic information system. Ecol Soc 10(1):27

    Google Scholar 

  • Champeaux C (2006) Recours à l'utilisation de pesticides en grandes cultures : évolution de l'indicateur de fréquence de traitements au travers d'enquêtes "pratiques culturales" du SCEES entre 1994 et 2001. . Rapport d'étude commandité par le MAP (DGFAR)

  • Commission européenne (CE) (1994) Directive du Conseil du 15 juillet 1991 concernant la mise en marché des produits phytopharmaceutiques

  • Fung A (2003) Survey article: recipes for public spheres: eight institutional design choices and their consequences. J Polit Philos 11(3):338–367

    Article  Google Scholar 

  • Geurts JLA, Joldersma C (2001) Methodology for participatory policy analysis. Eur J Oper Res 128:300–310

    Article  Google Scholar 

  • Hipel KW, Fang L, Kilgour DM (2008) Decision support systems in water resources and environmental management. J Hydrol Eng 13(9):761–770

    Article  Google Scholar 

  • Imache A, Dionnet M, Bouarfa S, Jamin J, Hartani T, Kuper M (2009) “Scénariologie participative”: une démarche d'apprentissage social pour appréhender l'avenir de l'agriculture irriguée dans la Mitidja (Algérie). Cah Agric 18(5):417–424

    Google Scholar 

  • Johnson MS (2009) Public participation and perceptions of watershed modeling. Soc Nat Res 22:79–87

    Article  Google Scholar 

  • Kooiman J (2002) Governing as governance. Sage, London

    Google Scholar 

  • Kuper M, Dionnet M, Hammani A, Bekkar Y, Garin P, Garin P, Bluemling B (2009) Supporting the shift from state water to community water: lessons from a social learning approach to designing joint irrigation projects in Morocco. Ecol Soc 14(1):19

    Google Scholar 

  • Le Bars M, Le Grusse P (2008) Use of a decision support system and a simulation game to help collective decision-making in water management. Comput Electron Agric 62:182–189

    Article  Google Scholar 

  • Le Bars M, Poussin JC (2011) Un jeu de simulation pour préparer une gouvernance de l'eau : une expérience en Tunisie centrale. Cah Agric 20:105–111. doi:10.1684/agr.2010.0463

    Google Scholar 

  • Le Bars M, Snoeck D (2007) Simulator for technical and economical modelling of farms. www.olympe-project.net. www.olympe-project.net

  • Le Grusse P, Belhouchette H, Le Bars M, Carmona G, Attonaty J-M (2006) Participative modelling to help collective decision-making in water allocation and nitrogen pollution "Application to the case of the Aveyron-Lère Basin". Int J Agric Res, Gov Ecol 5(2–3):247–271

    Google Scholar 

  • Mandart E, P. LG, Ayadi H, Rucheton G, Attonaty JM (2010) Intégration d'un indicateur de risque de toxicité des pesticides en "Santé Humaine" comme paramètre dans un outil d'aide à la décision en production agricole : application à un territoire du Sud Ouest de la France. Paper presented at the Congrès du Groupe Français des Pesticides : Pesticides et Environnements Méditerranéens, Banyuls-sur-Mer, France mai 2010

  • Mayer I, De Jong M (2004) Combining GDSS and gaming for decision support. Group Decis Negot 13:223–241

    Article  Google Scholar 

  • Mickwitz P, Melanen M, Rosenström U, Seppälä Y (2006) Regional eco-efficiency indicators—a participatory approach. J Cleaner Prod 14:1603–1611

    Article  Google Scholar 

  • Norwegian Agricultural Insperation Service (NAIS) (2004) Pesticides Rik Indicators for Heath and Environment

  • Office Régional de Mise en Valeur Agricole du GHARB (ORMVAG) (2010) Etude de la faisabilité de l’aménagement hydro-agricole de la zone côtière de la troisième tranche d’irrigation du Gharb. Mission 1: Diagnostic de la situation actuelle. In., vol 1367 –S1231 -10 c Marché n° 53/2009/DAM.

  • Pahl-Wostl C (2002) Towards sustainability in the water sector—the importance of human actors and processes of social learning. Aquat Sci 64:394–411

    Article  Google Scholar 

  • Pingault N, Pleyber E, Champeaux C, Guichard L, Omon B (2009) Produits phytosanitaires et protection intégrée des cultures : l’indicateur de fréquence de traitement(IFT). In, vol 32. Notes et études socio-économiques (NESE), pp 61-94

  • Rauschmayer F, Risse N (2005) A framework for the selection of participatory approaches for SEA. Environ Impact Assess Rev 25:650–666

    Article  Google Scholar 

  • Samuel O, Dion S, ST-Laurent L, April MH (2007) Indicateur de risque des pesticides du Québec– IRPeQ Santé et environnement Québec:44

  • Sprague RH, Carlson ED (1982) Building effective decision support systems. Englewood Cliffs, Prentice-Hall

    Google Scholar 

  • Ulrich M (1997) Games/simulations about environmental issues—existing tools and underlying concepts. In: Geurts J, Joldersma C, Roelofs E (eds) Gaming/Simulation for Policy Development and Organizational Change. Proceedings of the 28th Annual International Conference of the International Simulation and Gaming Association (ISAGA), Tilburg, The Netherlands, July 1997. pp 301–311

  • Zekri S, Boughanmi H (2007) Modeling the interactions between agriculture and the environment. In: Weintraub A, Romero Carlos , Bjørndal T, Epstein R, Miranda J (eds) International Series in Operations Research & Management Science. pp 69-91

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Acknowledgements

This work has been carried out under the auspices of the Tram research project ‘Managing Toxicity in the Ramsar region (Ecophyto 2018 Plan) and we wish to thank the financial support provided by APR Pesticides du MEDDE (French Ministry of Ecology, Sustainable Development and Energy’s call for pesticide research projects) managed by ONEMA (French National Agency for Water and Aquatic Environments) and also by the Languedoc Roussillon Region Laboratory’s ARPE programme. We are also grateful to the Gharb and Loukkos Regional Agricultural Development Boards and the Regional Directorate for Water and Forests in Kenitra, Morocco, for their support and cooperation during the project.

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Correspondence to M. Le Bars.

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Responsible editor: Michael Matthies

http://www.ramsar.org. The objective of the Ramsar Convention (adopted in 1971 in Ramsar, Iran) is to halt the loss of wetlands, promote the conservation of both them and their flora and fauna and encourage and promote wise use of them.

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Ayadi, H., Le Bars, M., Le Grusse, P. et al. SimPhy: a simulation game to lessen the impact of phytosanitaries on health and the environment—the case of Merja Zerga in Morocco. Environ Sci Pollut Res 21, 4950–4963 (2014). https://doi.org/10.1007/s11356-013-2244-2

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