The Rural Household Multi-Indicator Survey (RHoMIS) for rapid characterisation of households to inform climate smart agriculture interventions: Description and applications in East Africa and Central America

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cg.authorship.typesCGIAR and advanced research instituteen_US
cg.contributor.affiliationBangor Universityen_US
cg.contributor.affiliationInternational Livestock Research Instituteen_US
cg.contributor.affiliationBioversity Internationalen_US
cg.contributor.affiliationCentro Agronómico Tropical de Investigación y Enseñanzaen_US
cg.contributor.affiliationInternational Center for Tropical Agricultureen_US
cg.contributor.affiliationWageningen University & Researchen_US
cg.contributor.affiliationWorld Agroforestry Centreen_US
cg.contributor.crpClimate Change, Agriculture and Food Securityen_US
cg.contributor.crpLivestocken_US
cg.coverage.regionAfricaen_US
cg.coverage.regionCentral Americaen_US
cg.coverage.regionEastern Africaen_US
cg.coverage.regionLatin Americaen_US
cg.creator.identifierJacob van Etten: 0000-0001-7554-2558en_US
cg.creator.identifierSimon Fraval: 0000-0002-2936-2537en_US
cg.creator.identifierNils Teufel: 0000-0001-5305-6620en_US
cg.creator.identifierMats Lannerstad: 0000-0002-5116-3198en_US
cg.creator.identifierSabine Douxchamps: 0000-0002-5286-0753en_US
cg.creator.identifierMark van Wijk: 0000-0003-0728-8839en_US
cg.howPublishedFormally Publisheden_US
cg.identifier.doihttps://doi.org/10.1016/j.agsy.2016.05.003en_US
cg.identifier.projectCCAFS: PII-LAM_AgroClimasen_US
cg.isijournalISI Journalen_US
cg.issn0308-521Xen_US
cg.journalAgricultural Systemsen_US
cg.link.videohttp://audioslides.elsevier.com/ViewerSmall.aspx?doi=10.1016/j.agsy.2016.05.003en_US
cg.reviewStatusPeer Reviewen_US
cg.subject.ccafsCLIMATE-SMART TECHNOLOGIES AND PRACTICESen_US
cg.subject.ccafsCLIMATE SERVICES AND SAFETY NETSen_US
cg.subject.ciatCLIMATE CHANGE ADAPTATIONen_US
cg.subject.ciatCLIMATE CHANGE MITIGATIONen_US
cg.subject.ilriAGRICULTUREen_US
cg.subject.ilriDATAen_US
cg.subject.ilriFARMING SYSTEMSen_US
cg.subject.ilriLIVELIHOODSen_US
cg.subject.ilriLIVESTOCKen_US
cg.subject.ilriRESEARCHen_US
cg.subject.ilriCLIMATE CHANGEen_US
cg.volume151en_US
dc.contributor.authorHammond, Jamesen_US
dc.contributor.authorFraval, Simonen_US
dc.contributor.authorEtten, Jacob vanen_US
dc.contributor.authorSuchini, Jose Gabrielen_US
dc.contributor.authorMercado, Leidaen_US
dc.contributor.authorPagella, Timen_US
dc.contributor.authorFrelat, Romainen_US
dc.contributor.authorLannerstad, Matsen_US
dc.contributor.authorDouxchamps, Sabineen_US
dc.contributor.authorTeufel, Nilsen_US
dc.contributor.authorValbuena, Diegoen_US
dc.contributor.authorWijk, Mark T. vanen_US
dc.date.accessioned2016-05-30T07:17:33Zen_US
dc.date.available2016-05-30T07:17:33Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/75249en_US
dc.titleThe Rural Household Multi-Indicator Survey (RHoMIS) for rapid characterisation of households to inform climate smart agriculture interventions: Description and applications in East Africa and Central Americaen_US
dcterms.abstractAchieving climate smart agriculture depends on understanding the links between farming and livelihood practices, other possible adaptation options, and the effects on farm performance, which is conceptualised by farmers as wider than yields. Reliable indicators of farm performance are needed in order to model these links, and to therefore be able to design interventions which meet the differing needs of specific user groups. However, the lack of standardization of performance indicators has led to a wide array of tools and ad-hoc indicators which limit our ability to compare across studies and to draw general conclusions on relationships and trade-offs whereby performance indicators are shaped by farm management and the wider social-environmental context. RHoMIS is a household survey tool designed to rapidly characterise a series of standardised indicators across the spectrum of agricultural production and market integration, nutrition, food security, poverty and GHG emissions. The survey tool takes 40–60 min to administer per household using a digital implementation platform. This is linked to a set of automated analysis procedures that enable immediate cross-site bench-marking and intra-site characterisation. We trialled the survey in two contrasting agro-ecosystems, in Lushoto district of Tanzania (n = 150) and in the Trifinio border region of Guatemala, El Salvador and Honduras (n = 285). The tool rapidly characterised variability between farming systems at landscape scales in both locations identifying key differences across the population of farm households that would be critical for targeting CSA interventions. Our results suggest that at both sites the climate smartness of different farm strategies is clearly determined by an interaction between the characteristics of the farm household and the farm strategy. In general strategies that enabled production intensification contributed more towards the goals of climate smart agriculture on smaller farms, whereas increased market orientation was more successful on larger farms. On small farms off-farm income needs to be in place before interventions can be promoted successfully, whereas on the larger farms a choice is made between investing labour in off-farm incomes, or investing that labour into the farm, resulting in a negative association between off-farm labour and intensification, market orientation and crop diversity on the larger farms, which is in complete opposition to the associations found for the smaller farms. The balance of indicators selected gave an adequate snap shot picture of the two sites, and allowed us to appraise the ‘CSA-ness’ of different existing farm strategies, within the context of other major development objectives.en_US
dcterms.accessRightsLimited Accessen_US
dcterms.audienceScientistsen_US
dcterms.bibliographicCitationHammond, J., Fraval, S., Etten, J. van, Suchini, J.G., Mercado, L., Pagella, T., Frelat, R., Lannerstad, M., Douxchamps, S., Teufel, N., Valbuena, D. and Wijk, M.T. van. 2017. The Rural Household Multi-Indicator Survey (RHoMIS) for rapid characterisation of households to inform climate smart agriculture interventions: Description and applications in East Africa and Central America. Agricultural Systems 151:225–233.en_US
dcterms.extentp. 225-233en_US
dcterms.issued2017-02en_US
dcterms.languageenen_US
dcterms.licenseCopyrighted; all rights reserveden_US
dcterms.publisherElsevieren_US
dcterms.subjectfarming systemsen_US
dcterms.subjectclimateen_US
dcterms.typeJournal Articleen_US

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