To mulch or to munch? Big modelling of big data

cg.authorship.typesCGIAR and developing country institute
cg.authorship.typesCGIAR and advanced research institute
cg.contributor.affiliationUniversity of Queensland
cg.contributor.affiliationLancaster University
cg.contributor.affiliationKenya Agricultural and Livestock Research Organization
cg.contributor.affiliationInternational Livestock Research Institute
cg.contributor.crpDryland Systems
cg.contributor.donorAustralian Centre for International Agricultural Research
cg.creator.identifierMariana Rufino: 0000-0003-4293-3290
cg.creator.identifierMark van Wijk: 0000-0003-0728-8839
cg.howPublishedFormally Published
cg.identifier.doihttps://doi.org/10.1016/j.agsy.2017.01.010
cg.isijournalISI Journal
cg.issn0308-521X
cg.journalAgricultural Systems
cg.reviewStatusPeer Review
cg.subject.ilriCROP-LIVESTOCK
cg.subject.ilriDATA
cg.subject.ilriFARMING SYSTEMS
cg.subject.ilriRESEARCH
cg.volume153
dc.contributor.authorRodríguez, D.
dc.contributor.authorVoil, P. de
dc.contributor.authorRufino, Mariana C.
dc.contributor.authorOdendo, M.
dc.contributor.authorWijk, Mark T. van
dc.date.accessioned2017-02-07T13:27:10Zen
dc.date.available2017-02-07T13:27:10Zen
dc.identifier.urihttps://hdl.handle.net/10568/79783
dc.titleTo mulch or to munch? Big modelling of big dataen
dcterms.abstractAfrican farmers are poorly resourced, highly diverse and aground by poverty traps making them rather impervious to change. As a consequence R4D efforts usually result in benefits but also trade-offs that constraint adoption and change. A typical case is the use of crop residues as mulches or as feedstock. Here we linked a database of household surveys with a dynamic whole farm simulation model, to quantify the diversity of trade-offs from the alternative use of crop residues. Simulating all the households in the survey (n = 613) over 99 years of synthetic climate data, showed that benefits and trade-offs from “mulching or munching” differ across agro-ecologies, and within agro-ecologies across typologies of households. Even though trade-offs between household production or income and environmental outcomes could be managed; the magnitude of the simulated benefits from the sustainable intensification of maize-livestock systems were small. Our modelling framework shows the benefits from the integration of socio-economic and biophysical approaches to support the design of development programs. Our results support the argument that a greater focus is required on the development and diversification of farmers' livelihoods within the framework of an improved understanding of the interconnectedness between biophysical, socio-economic and market factors.en
dcterms.accessRightsOpen Access
dcterms.audienceScientists
dcterms.bibliographicCitationRodriguez, D., Voil, P. de, Rufino, M.C., Odendo, M. and Wijk, M.T. van. 2017. To mulch or to munch? Big modelling of big data. Agricultural Systems 153: 32-42en
dcterms.extentp. 32-42
dcterms.issued2017-05
dcterms.languageen
dcterms.licenseCC-BY-NC-ND-4.0
dcterms.publisherElsevier
dcterms.subjectmulchen
dcterms.subjectfarming systemsen
dcterms.subjectresearchen
dcterms.typeJournal Article

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