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dc.contributorThiombiano, Boundia Alexandreen_US
dc.contributorLe, Quang Baoen_US
dc.creatorMeylan, Grégoireen_US
dc.date2019-11-16en_US
dc.date.accessioned2020-02-24T20:07:45Z
dc.date.available2020-02-24T20:07:45Z
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/e47d67f54e4f84bb9610dc9df13fa335en_US
dc.identifier.citationGregoire Meylan, Boundia Alexandre Thiombiano, Quang Bao Le. (16/11/2019). Nutrient flow modelling for assessing the resource criticality of heterogeneous agricultural systems: A case study in Southwestern Burkina Faso.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/10819
dc.description.abstractDespite the many advantages of sustainable intensification (SI), the level of adoption of SI practices in African smallholding farms is still very low, posing the need for adequate methods for monitoring farm sustainability. Macronutrient flows and balance in agricultural systems are important for assessing the system sustainability as they indicate what supply risks an agricultural system runs, how resilient the system is to these risks, and what environmental impacts arise from the use of that essential resource. We apply the environment system’s criticality approach, and Material Flow Assessment (MFA) modelling to macronutrients (N, P, and K) in three different smallholder farming system (SFS) types in the village cluster of Pontieba, Ioba Province, Burkina Faso. Two criticality indicators of system sustainability were highlighted. First, the three SFS types are not facing equal nitrogen supply risks. The average depletion time of soil nitrogen stocks ranges from some 10 to 170 years. The SFS type I (poor, landless, and subsistence-based farms) and type III (better-off, land-and labor-rich, cotton- and livestock-turned) have short nitrogen depletion times compared to the SFS type II (medium-income, high dependency, cotton-and livestock-turned). Second, the reduced dependency on external nutrient inputs (e.g. fertilizer application) is an indicator measuring resilience to supply restriction. In Pontieba, regardless of types of SFS or macronutrient, reliance on own nutrient resources never surpasses 50%. The study showed that the environment system’s criticality approach and nutrient flow modelling can contribute to the implementation of SI practices through support at four levels: 1) providing a holistic view on the SFS to avoid problem-shifting and enable prioritization, 2) providing options to reduce resource criticality, 3) mutual learning between researchers and smallholder farmers through knowledge integration, and 4) facilitating coherence of agroecosystem management from local to national levels thanks to the approach applicability on different scales.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.rightsCC-BY-4.0en_US
dc.subjectFinger milleten_US
dc.subjectMaizeen_US
dc.subjectSorghumen_US
dc.subjectCottonen_US
dc.subjectCowpeaen_US
dc.titleNutrient flow modelling for assessing the resource criticality of heterogeneous agricultural systems: A case study in Southwestern Burkina Fasoen_US
dc.typePresentationen_US
cg.creator.idLe, Quang Bao: 0000-0001-8514-1088en_US
cg.creator.ID-typeORCIDen_US
cg.subject.agrovocgoal 1 no povertyen_US
cg.subject.agrovocgoal 2 zero hungeren_US
cg.subject.agrovocgoal 15 life on landen_US
cg.contributor.centerPolytechnic University of Bobo-Dioulassoen_US
cg.contributor.centerSwiss Federal Institute of Technology Zurich - ETH Zurichen_US
cg.contributor.centerZurich University of Applied Sciences - zhawen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.crpCGIAR Research Program on Dryland Systems - DSen_US
cg.contributor.crpCGIAR Research Program on Grain Legumes and Dryland Cereals - GLDCen_US
cg.contributor.funderCGIAR System Organization - CGIARen_US
cg.coverage.regionWestern Africaen_US
cg.coverage.countryBFen_US
cg.coverage.start-date2018-08-01en_US
cg.coverage.end-date2019-12-31en_US
cg.contactQ.Le@cgiar.orgen_US
dc.identifier.statusOpen accessen_US


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