000 03091nab a22003497a 4500
001 58361
003 MX-TxCIM
005 20220920154453.0
008 151201s2016 u |||p|op||| 00| 0 eng d
024 8 _ahttps://doi.org/10.1016/j.agsy.2015.12.009
040 _aMX-TxCIM
041 _aeng
100 1 _92545
_aDelmotte, S.
245 1 0 _aParticipatory integrated assessment of scenarios for organic farming at different scales in Camargue, France
260 _aUnited Kingdom :
_bElsevier,
_c2016.
500 _aPeer review
520 _aAlternative agricultural systems, such as organic farming (OF), are promising options to sustain both agriculture productivity and environmental health. However, the adoption of OF by farmers is occurring more slowly than is advocated. A key factor limiting farmers is an inability to predict socio-economic consequences of converting to OF. To overcome this, we developed a novel method of integrated assessment of agricultural systems (IAAS) and applied it to scenarios of development of OF in the Camargue region, South of France. In collaboration with the local stakeholders, we characterized the agricultural systems at different spatial scales and defined scenario related to the future of agriculture and to OF. We then used agent-based modeling with farmers and bio-economic modeling with local stakeholders for scenario assessment. We examined the effects on the development of OF systems of key factors such as the ongoing reform in the European Common Agricultural Policy and the effects of regulations for decreased use of pesticides. The policy reform implied trends towards a diversification of crops and greater possibility for conversion to OF. Development of OF at the regional level led to improved environmental performance, but caused a decrease in profitability of the rice supply chains. In light of the observed trade-off between rice production and OF development, objectives and options towards more sustainable agricultural systems were discussed with farmers and local stakeholders. Stakeholders' assessment of the framework provided insights on the positive and specific aspects of the IAAS methodology requiring improvement. The complementarities of agent-based and bio-economic modeling provide stakeholders with a better-informed assessment of diverse scenarios, for the development of more sustainable agricultural systems.
526 _aWC
_cFP4
546 _aText in English
650 0 _92585
_aOrganic agriculture
651 0 _94346
_aFrance
_gAGROVOC
700 1 _92542
_aBarbier, J.M.
700 1 _92556
_aMouret, J.C.
700 1 _94348
_aLe Page, C.
700 1 _92541
_aWery, J.
700 1 _94350
_aChauvelon, P.
700 1 _94352
_aSandoz, A.
700 1 _aLopez-Ridaura, S.
_gSustainable Intensification Program
_gSustainable Agrifood Systems
_8INT3360
_9939
773 0 _w444466
_x0308-521X
_dBarking, Essex (United Kingdom) : Elsevier
_tAgricultural Systems
_gv. 143, p. 147-158
856 4 _yAccess only for CIMMYT Staff
_uhttp://libcatalog.cimmyt.org/Download/cis/58361.pdf
942 _2ddc
_cJA
999 _c58361
_d58353