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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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    as
    1. Laborte, Alice G. & Van Ittersum, Martin K. & Van den Berg, Marrit M., 2007. "Multi-scale analysis of agricultural development: A modelling approach for Ilocos Norte, Philippines," Agricultural Systems, Elsevier, vol. 94(3), pages 862-873, June.
    2. Bureau, Jean-Christophe & Guyomard, Herve & Requillart, Vincent, 2001. "On inefficiencies in the European sugar regime," Journal of Policy Modeling, Elsevier, vol. 23(6), pages 659-667, August.
    3. Argyris Kanellopoulos & Paul Berentsen & Thomas Heckelei & Martin Van Ittersum & Alfons Oude Lansink, 2010. "Assessing the Forecasting Performance of a Generic Bio‐Economic Farm Model Calibrated With Two Different PMP Variants," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(2), pages 274-294, June.
    4. Lidia Ceriani & Paolo Verme, 2012. "The origins of the Gini index: extracts from Variabilità e Mutabilità (1912) by Corrado Gini," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 10(3), pages 421-443, September.
    5. Mosnier, Claire & Ridier, Aude & Kphaliacos, Charilaos & Carpy-Goulard, Françoise, 2009. "Economic and environmental impact of the CAP mid-term review on arable crop farming in South-western France," Ecological Economics, Elsevier, vol. 68(5), pages 1408-1416, March.
    6. Viaggi, Davide & Raggi, Meri & Gomez y Paloma, Sergio, 2011. "Farm-household investment behaviour and the CAP decoupling: Methodological issues in assessing policy impacts," Journal of Policy Modeling, Elsevier, vol. 33(1), pages 127-145, January.
    7. William Lin & G. W. Dean & C. V. Moore, 1974. "An Empirical Test of Utility vs. Profit Maximization in Agricultural Production," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 56(3), pages 497-508.
    8. 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.
    9. Dogliotti, S. & van Ittersum, M.K. & Rossing, W.A.H., 2005. "A method for exploring sustainable development options at farm scale: a case study for vegetable farms in South Uruguay," Agricultural Systems, Elsevier, vol. 86(1), pages 29-51, October.
    10. Szvetlana Acs & Paul Berentsen & Ruud Huirne & Marcel van Asseldonk, 2009. "Effect of yield and price risk on conversion from conventional to organic farming ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(3), pages 393-411, July.
    11. Arriaza, M. & Gomez-Limon, J. A., 2003. "Comparative performance of selected mathematical programming models," Agricultural Systems, Elsevier, vol. 77(2), pages 155-171, August.
    12. Richard E. Howitt, 1995. "Positive Mathematical Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(2), pages 329-342.
    13. Djanibekov, Nodir & Sommer, Rolf & Djanibekov, Utkur, 2013. "Evaluation of effects of cotton policy changes on land and water use in Uzbekistan: Application of a bio-economic farm model at the level of a water users association," Agricultural Systems, Elsevier, vol. 118(C), pages 1-13.
    14. van Ittersum, Martin K. & Ewert, Frank & Heckelei, Thomas & Wery, Jacques & Alkan Olsson, Johanna & Andersen, Erling & Bezlepkina, Irina & Brouwer, Floor & Donatelli, Marcello & Flichman, Guillermo & , 2008. "Integrated assessment of agricultural systems - A component-based framework for the European Union (SEAMLESS)," Agricultural Systems, Elsevier, vol. 96(1-3), pages 150-165, March.
    15. Louhichi, Kamel & Kanellopoulos, Argyris & Janssen, Sander & Flichman, Guillermo & Blanco, Maria & Hengsdijk, Huib & Heckelei, Thomas & Berentsen, Paul & Lansink, Alfons Oude & Ittersum, Martin Van, 2010. "FSSIM, a bio-economic farm model for simulating the response of EU farming systems to agricultural and environmental policies," Agricultural Systems, Elsevier, vol. 103(8), pages 585-597, October.
    16. Blazy, Jean-Marc & Ozier-Lafontaine, Harry & Doré, Thierry & Thomas, Alban & Wery, Jacques, 2009. "A methodological framework that accounts for farm diversity in the prototyping of crop management systems. Application to banana-based systems in Guadeloupe," Agricultural Systems, Elsevier, vol. 101(1-2), pages 30-41, June.
    17. Aubry, C. & Papy, F. & Capillon, A., 1998. "Modelling decision-making processes for annual crop management," Agricultural Systems, Elsevier, vol. 56(1), pages 45-65, January.
    18. Leite, João Guilherme Dal Belo & Silva, João Vasco & van Ittersum, Martin K., 2014. "Integrated assessment of biodiesel policies aimed at family farms in Brazil," Agricultural Systems, Elsevier, vol. 131(C), pages 64-76.
    19. Belhouchette, Hatem & Louhichi, Kamel & Therond, Olivier & Mouratiadou, Ioanna & Wery, Jacques & Ittersum, Martin van & Flichman, Guillermo, 2011. "Assessing the impact of the Nitrate Directive on farming systems using a bio-economic modelling chain," Agricultural Systems, Elsevier, vol. 104(2), pages 135-145, February.
    20. Chavez, M.D. & Berentsen, P.B.M. & Oude Lansink, A.G.J.M., 2014. "Analyzing diversification possibilities on specialized tobacco farms in Argentina using a bio-economic farm model," Agricultural Systems, Elsevier, vol. 128(C), pages 35-43.
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    2. Jahel, Camille & Baron, Christian & Vall, Eric & Karambiri, Medina & Castets, Mathieu & Coulibaly, Kalifa & Bégué, Agnès & Lo Seen, Danny, 2017. "Spatial modelling of agro-ecosystem dynamics across scales: A case in the cotton region of West-Burkina Faso," Agricultural Systems, Elsevier, vol. 157(C), pages 303-315.
    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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