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GAMEDE: A global activity model for evaluating the sustainability of dairy enterprises. Part II - Interactive simulation of various management strategies with diverse stakeholders

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  • Vayssières, Jonathan
  • Bocquier, François
  • Lecomte, Philippe

Abstract

GAMEDE is a stock-flow dynamic simulation model designed with farmers to represent dairy farm functioning and the consequences of the farmer's daily management decisions for whole-farm sustainability. Sustainability is evaluated according to its three pillars: technico-economic viability, respect for environment, and social liveability. The model provides original information for a better understanding of the processes regulating nitrogen dynamics within the farm, and the factors determining farmers' decisions and practices. Model implementation experiments have revealed that GAMEDE is also a useful tool to support discussions and to generate knowledge exchange among various stakeholders who play an important role in the development of farm sustainability: farmers, extension agents and researchers. While a majority of researchers and advisers are specialised and a majority of farmers fix their attention on specific and narrow themes of farm management, such a comprehensive model can help stakeholders complement their knowledge to gain a holistic view of the farming system. This holistic and integrated view is crucial: (i) for researchers who wish to explain diversity in farming systems and understand decisional and biophysical processes and their interrelated effects operating in such complex agro-ecosystems, (ii) for advisers whose aim is to define alternative management strategies applicable in practice, i.e. taking into account farm specificities, and (iii) for farmers who must choose practices compatible with their resources, assets, constraints and objectives. Holism can also improve versatility and thus the generic character of models. Issues are narrowly specified and greatly vary both among categories of stakeholders (e.g. scientists versus farmers) and within each category (e.g. among farmers). A comprehensive model that: (i) details all farm management operations, and (ii) represents their effects on different spatio-temporal levels and on the three sustainability dimensions, is more likely to respond to the various issues facing different stakeholders. We argue that capacity of models to respond to stakeholders' questions has to be considered in future evaluations of decision support systems.

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  • Vayssières, Jonathan & Bocquier, François & Lecomte, Philippe, 2009. "GAMEDE: A global activity model for evaluating the sustainability of dairy enterprises. Part II - Interactive simulation of various management strategies with diverse stakeholders," Agricultural Systems, Elsevier, vol. 101(3), pages 139-151, July.
  • Handle: RePEc:eee:agisys:v:101:y:2009:i:3:p:139-151
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    References listed on IDEAS

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    1. Michael T. Wallace & Joan E. Moss, 2002. "Farmer Decision‐Making with Conflicting Goals: A Recursive Strategic Programming Analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 53(1), pages 82-100, March.
    2. Aubry, Christine & Paillat, Jean-Marie & Guerrin, Francois, 2006. "A conceptual representation of animal waste management at the farm scale: The case of the Reunion Island," Agricultural Systems, Elsevier, vol. 88(2-3), pages 294-315, June.
    3. McCown, R. L., 2002. "Changing systems for supporting farmers' decisions: problems, paradigms, and prospects," Agricultural Systems, Elsevier, vol. 74(1), pages 179-220, October.
    4. Solano, C. & Leon, H. & Perez, E. & Tole, L. & Fawcett, R.H. & Herrero, M., 2006. "Using farmer decision-making profiles and managerial capacity as predictors of farm management and performance in Costa Rican dairy farms," Agricultural Systems, Elsevier, vol. 88(2-3), pages 395-428, June.
    5. Schilizzi, Steven G. M. & Boulier, Fabien, 1997. "`Why do farmers do it?' Validating whole-farm models," Agricultural Systems, Elsevier, vol. 54(4), pages 477-499, August.
    6. Janssen, Sander & van Ittersum, Martin K., 2007. "Assessing farm innovations and responses to policies: A review of bio-economic farm models," Agricultural Systems, Elsevier, vol. 94(3), pages 622-636, June.
    7. Carberry, P. S. & Hochman, Z. & McCown, R. L. & Dalgliesh, N. P. & Foale, M. A. & Poulton, P. L. & Hargreaves, J. N. G. & Hargreaves, D. M. G. & Cawthray, S. & Hillcoat, N. & Robertson, M. J., 2002. "The FARMSCAPE approach to decision support: farmers', advisers', researchers' monitoring, simulation, communication and performance evaluation," Agricultural Systems, Elsevier, vol. 74(1), pages 141-177, October.
    8. Hurrion, R. D., 1980. "An interactive visual simulation system for industrial management," European Journal of Operational Research, Elsevier, vol. 5(2), pages 86-93, August.
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    2. Vayssières, Jonathan & Vigne, Mathieu & Alary, Véronique & Lecomte, Philippe, 2011. "Integrated participatory modelling of actual farms to support policy making on sustainable intensification," Agricultural Systems, Elsevier, vol. 104(2), pages 146-161, February.
    3. Vanwindekens, Frédéric M. & Stilmant, Didier & Baret, Philippe V., 2013. "Development of a broadened cognitive mapping approach for analysing systems of practices in social–ecological systems," Ecological Modelling, Elsevier, vol. 250(C), pages 352-362.
    4. Le Gal, P.-Y. & Dugué, P. & Faure, G. & Novak, S., 2011. "How does research address the design of innovative agricultural production systems at the farm level? A review," Agricultural Systems, Elsevier, vol. 104(9), pages 714-728.
    5. M V Eitzel & Jon Solera & K B Wilson & Kleber Neves & Aaron C Fisher & André Veski & Oluwasola E Omoju & Abraham Mawere Ndlovu & Emmanuel Mhike Hove, 2020. "Using mixed methods to construct and analyze a participatory agent-based model of a complex Zimbabwean agro-pastoral system," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-24, August.
    6. Xabier Díaz de Otálora & Agustín del Prado & Federico Dragoni & Fernando Estellés & Barbara Amon, 2021. "Evaluating Three-Pillar Sustainability Modelling Approaches for Dairy Cattle Production Systems," Sustainability, MDPI, vol. 13(11), pages 1-14, June.
    7. Thivierge, Marie-Noëlle & Jégo, Guillaume & Bélanger, Gilles & Chantigny, Martin H. & Rotz, C. Alan & Charbonneau, Édith & Baron, Vern S. & Qian, Budong, 2017. "Projected impact of future climate conditions on the agronomic and environmental performance of Canadian dairy farms," Agricultural Systems, Elsevier, vol. 157(C), pages 241-257.

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