Integrated participatory modelling of actual farms to support policy making on sustainable intensification

cg.contactjonathan.vayssieres@cirad.fren_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerThe French Agricultural Research Center for International Development - CIRADen_US
cg.contributor.centerThe French Agricultural Research Centre for International Development, UMR: Mediterranean and Tropical Livestock Systems - CIRAD - UMR SELMETen_US
cg.contributor.funderFrench National Research Agencyen_US
cg.contributor.projectCommunication and Documentation Information Services (CODIS)en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.countryFRen_US
cg.coverage.regionWestern Europeen_US
cg.creator.idAlary, Veronique: 0000-0003-4844-5423en_US
cg.date.embargo-end-dateTimelessen_US
cg.identifier.doihttps://dx.doi.org/10.1016/j.agsy.2010.05.008en_US
cg.isijournalISI Journalen_US
cg.issn0308-521Xen_US
cg.issue2en_US
cg.journalAgricultural Systemsen_US
cg.subject.agrovocimpact assessmenten_US
cg.subject.agrovocsustainable intensificationen_US
cg.volume104en_US
dc.contributorVigne, Mathieuen_US
dc.contributorAlary, Veroniqueen_US
dc.contributorLecomte, Philippeen_US
dc.creatorVayssieres, Jonathanen_US
dc.date.accessioned2023-10-05T19:02:51Z
dc.date.available2023-10-05T19:02:51Z
dc.description.abstractOn the tropical island of La Reunion, population growth, increasing demand in food products, agricultural densification, and the resulting pressure on the environment are representative of what is expected to happen in the majority of the world's regions in the next decades. Crop-livestock integration is a possible solution for the sustainable intensification of farming systems. GAMEDE, a whole-farm model, was designed and used with six representative dairy farmers on the island to ex-ante assess differences in farm sustainability of various degrees of crop-livestock integration and to support discussions with farmers about these options. The model details the dynamics of the main biophysical and decisional processes affecting labour, gross margin, and energy and nutrient flows within the farm. We propose a method based on typology, modelling and participatory techniques to support policy making. All its methodological stages integrate both quantitative and qualitative data. The large majority of farm model implementation cases reported in the literature refers to constructed synthetic farms. However, in our case, actual farm simulation was particularly useful for capturing farmers' expert knowledge and providing insights into how agro-ecosystems are really managed. This approach enabled taking farm diversity into account in defining relevant interventions. The reliability of extrapolations and recommendations for policy formulation based on farm-level simulation were verified by a rigorous evaluation of the representativeness of the farm sample, crossing expert data with data stemming from a multi-variate analysis. Our research indicates that actual farms can also be typical. (C) 2010 Elsevier Ltd. All rights reserved.en_US
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifier.citationJonathan Vayssieres, Mathieu Vigne, Veronique Alary, Philippe Lecomte. (1/2/2011). Integrated participatory modelling of actual farms to support policy making on sustainable intensification. Agricultural Systems, 104 (2), pp. 146-161.en_US
dc.identifier.statusTimeless limited accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/68726
dc.languageenen_US
dc.publisherElsevier Ltd.en_US
dc.sourceAgricultural Systems;104,(2010) Pagination 146-161en_US
dc.subjectpolicy formulationen_US
dc.subjectparticipatory modellingen_US
dc.subjectfarm-sample representativenessen_US
dc.subjectwhole-farm managementen_US
dc.titleIntegrated participatory modelling of actual farms to support policy making on sustainable intensificationen_US
dc.typeJournal Articleen_US
dcterms.available2010-07-09en_US
dcterms.extent146-161en_US
dcterms.issued2011-02-01en_US
mel.impact-factor6.6en_US

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