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MOSAICA: A multi-scale bioeconomic model for the design and ex ante assessment of cropping system mosaics

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  • Chopin, Pierre
  • Doré, Thierry
  • Guindé, Loïc
  • Blazy, Jean-Marc

Abstract

To understand the effects of policy changes on organisations and compositions of cropping systems at regional scale and their contribution to the sustainable development of regions, we built a regional, spatially explicit, multi-scale, bioeconomic model called MOSAICA. This model explicitly incorporates information at field, farm, sub-regional and regional scales to provide cropping system mosaics by way of regional optimisation of the sum of individual farmer's utilities under field, farm and territory biophysical and socio-economic constraints. Its generic structure means it can be used in different regions with geographic information on the location of the field and farm, data on cropping system performance, on location factors and on policy schemes. We used the model in Guadeloupe to test the impact of three scenarios of change on the agricultural subsidy regimes. The model produced three cropping system mosaics which reduced the area under banana and sugarcane, turned specialised banana and sugarcane farming systems into breeding systems while improving the overall contribution of agriculture to sustainable development. The spatially explicit results of changes in ecosystem services, and in farming systems with MOSAICA make it an appropriate decision-aid tool for regional planning.

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  • Chopin, Pierre & Doré, Thierry & Guindé, Loïc & Blazy, Jean-Marc, 2015. "MOSAICA: A multi-scale bioeconomic model for the design and ex ante assessment of cropping system mosaics," Agricultural Systems, Elsevier, vol. 140(C), pages 26-39.
    • Handle: RePEc:eee:agisys:v:140:y:2015:i:c:p:26-39
    DOI: 10.1016/j.agsy.2015.08.006
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    3. Julia Jouan & Aude Ridier & Matthieu Carof, 2020. "Methodological and Ideological Options SYNERGY: A regional bio-economic model analyzing farm-to-farm exchanges and legume production to enhance agricultural sustainability," Post-Print hal-02612963, HAL.
    4. Chopin, Pierre & Blazy, Jean-Marc & Guindé, Loïc & Wery, Jacques & Doré, Thierry, 2017. "A framework for designing multi-functional agricultural landscapes: Application to Guadeloupe Island," Agricultural Systems, Elsevier, vol. 157(C), pages 316-329.
    5. Selbonne, S. & Guindé, L. & Belmadani, A. & Bonine, C. & L. Causeret, F. & Duval, M. & Sierra, J. & Blazy, J.M., 2022. "Designing scenarios for upscaling climate-smart agriculture on a small tropical island," Agricultural Systems, Elsevier, vol. 199(C).
    6. Chopin, Pierre & Guindé, Loïc & Causeret, François & Bergkvist, Göran & Blazy, Jean-Marc, 2019. "Integrating stakeholder preferences into assessment of scenarios for electricity production from locally produced biomass on a small island," Renewable Energy, Elsevier, vol. 131(C), pages 128-136.
    7. Dupré, Marie & Blazy, Jean-Marc & Michels, Thierry & Le Gal, Pierre-Yves, 2021. "Supporting policymakers in designing agricultural policy instruments: A participatory approach with a regional bioeconomic model in La Réunion (France)," Land Use Policy, Elsevier, vol. 100(C).
    8. Jouan, Julia & Ridier, Aude & Carof, Matthieu, 2020. "SYNERGY: A regional bio-economic model analyzing farm-to-farm exchanges and legume production to enhance agricultural sustainability," Ecological Economics, Elsevier, vol. 175(C).
    9. Amer Ait Sidhoum & K Hervé Dakpo & Laure Latruffe, 2022. "Trade-offs between economic, environmental and social sustainability on farms using a latent class frontier efficiency model: Evidence for Spanish crop farms," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-17, January.
    10. Julia Jouan & Aude Ridier & Matthieu Carof, 2018. "SYNERGY: a bio economic model assessing the economic and environmental impacts of increased regional protein self-sufficiency," Post-Print hal-01937084, HAL.
    11. Wies, Germán & Groot, Jeroen C.J. & Martinez-Ramos, Miguel, 2023. "In highly-biodiverse tropical landscapes, multiple-objective optimization reveals opportunities for increasing both conservation and agricultural production," Ecological Modelling, Elsevier, vol. 483(C).

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