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dc.creatorLe, Quang Baoen_US
dc.date.accessioned2016-02-10T10:39:05Z
dc.date.available2016-02-10T10:39:05Z
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/N5DLQZ66en_US
dc.identifier.citationQuang Bao Le. (7/9/2015). Farming system models for supporting farm resilience: Research needs, gaps and promising approaches. Montpellier, France: Emmanuel S. Gritti (Curator), Jacques Wery.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/4296
dc.description.abstractIt is important to increase the resilience of food production systems in the face of a changing climate, land scarcity, and changing demographics and market conditions. As farm resilience is a high-level system property emerged from social-ecological interactions, its direct measurement is difficult because it requires measuring the thresholds or boundaries that separate alternate stability regimes of the farm system. However, systems' modeling for supporting agricultural resilience is still in an early stage. Through critical review of state-of-the art literature, this study aims at highlighting the new requirements of agricultural system modeling as they apply to management for farm resilience, limitations of contemporary agricultural systems modeling approaches, and promising directions for future research on the field.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherAGRO2015en_US
dc.rightsCC-BY-NC-4.0en_US
dc.source5th International Symposium for Farming Systems Design;en_US
dc.subjectagent-based systemsen_US
dc.subjectbio-economic modelingen_US
dc.subjectdecisionen_US
dc.subjectcomponent-based modelen_US
dc.subjectbayesian belief network (bbn)en_US
dc.subjectsystem dynamics (sd)en_US
dc.titleFarming system models for supporting farm resilience: Research needs, gaps and promising approachesen_US
dc.typeConference Paperen_US
dcterms.available2015-09-07en_US
dcterms.issued2015-09-07en_US
cg.creator.idLe, Quang Bao: 0000-0001-8514-1088en_US
cg.subject.agrovocadaptationen_US
cg.subject.agrovocfarming systemsen_US
cg.subject.agrovocmodelsen_US
cg.subject.agrovocmodellingen_US
cg.contributor.centerCGIAR Research Program on Dryland Systems - DSen_US
cg.contributor.crpCGIAR Research Program on Dryland Systems - DSen_US
cg.contributor.funderNot Applicableen_US
cg.contributor.project-lead-instituteCGIAR Research Program on Dryland Systems - DSen_US
cg.coverage.start-date2015-01-10en_US
cg.coverage.end-date2015-06-30en_US
cg.contactQ.Le@cgiar.orgen_US
dc.identifier.statusOpen accessen_US


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