Show simple item record

resumen

Abstract
Methods to construct farm household typologies may differ in their approach but they share a common feature: they rely mostly on structural farm data. Methods to build functional typologies are far less abundant. Households or communities are complex social-ecological systems that often exhibit patterns in their response to disturbances (e.g., droughts, floods, price shocks, policy change). We propose building functional typologies – classifiable [ver mas...]
dc.contributor.authorTittonell, Pablo Adrian
dc.contributor.authorBruzzone, Octavio Augusto
dc.contributor.authorSolano-Hernández, A.
dc.contributor.authorLópez-Ridaura, Santiago
dc.contributor.authorEasdale, Marcos Horacio
dc.date.accessioned2020-03-19T13:29:38Z
dc.date.available2020-03-19T13:29:38Z
dc.date.issued2020-02
dc.identifier.issn0308-521X
dc.identifier.otherhttps://doi.org/10.1016/j.agsy.2019.102714
dc.identifier.urihttp://hdl.handle.net/20.500.12123/6968
dc.identifier.urihttps://www.sciencedirect.com/science/article/abs/pii/S0308521X18314379
dc.description.abstractMethods to construct farm household typologies may differ in their approach but they share a common feature: they rely mostly on structural farm data. Methods to build functional typologies are far less abundant. Households or communities are complex social-ecological systems that often exhibit patterns in their response to disturbances (e.g., droughts, floods, price shocks, policy change). We propose building functional typologies – classifiable ´behaviours´ of rural actors – using archetype analysis to categorise such responses and identify salient behaviours. We illustrate this approach by examining the response of rural households to recurrent droughts in northern Patagonia, Argentina, as revealed by 23 in-depth interviews about perceptions and strategies concerning droughts. Using the algorithm from Mørup and Hansen (2012), and the corrected Akaike decision rule, we identified three archetypes (A–C) that represented three distinct aggregated responses of households to droughts. Archetype A presented variable degrees of resistance to droughts (production losses<40%), avoidance and diversification, whereas archetype B exhibited tolerance (higher losses) and some degree of transformability (off-farm income). Archetype C farms exhibited high levels of vulnerability, if some degree of tolerance to high losses, but no real adaptive strategy to speak of. Such pattern could not have been identified through the more commonly used typology building methods such as using multivariate and clustering techniques. By allowing to combine qualitative and quantitative information, and to deal with a relatively small number of observations, archetype analysis appears as highly suitable to delineate functional farm household typologies.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherElsevieres_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceAgricultural Systems 178 : 102714 (Febrero 2020)es_AR
dc.subjectConstruccioneses_AR
dc.subjectBuildingseng
dc.subjectViviendaes_AR
dc.subjectHousingeng
dc.subjectVivienda Rurales_AR
dc.subjectRural Housingeng
dc.subjectSequíaes_AR
dc.subjectDroughteng
dc.subjectVulnerabilidades_AR
dc.subjectVulnerabilityeng
dc.subjectAdaptaciónes_AR
dc.subjectAdaptationeng
dc.subject.otherRegión Patagónicaes_AR
dc.subject.otherSistemas Ruraleses_AR
dc.titleFunctional farm household typologies through archetypal responses to disturbanceses_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.description.origenEstación Experimental Agropecuaria Barilochees_AR
dc.description.filFil: Tittonell, Pablo Adrian. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Consejo Nacional de Investigaciones Cientificas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina. Groningen University. Groningen Institute of Evolutionary Life Sciences; Holanda. Université de Montpellier. Centre de coopération Internationale en Recherche Agronomique pour le Développement (CIRAD). Agroécologie et Intensification Durable (AïDA); Franciaes_AR
dc.description.filFil: Bruzzone, Octavio Augusto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Consejo Nacional de Investigaciones Cientificas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentinaes_AR
dc.description.filFil: Solano-Hernández, A. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Consejo Nacional de Investigaciones Cientificas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentinaes_AR
dc.description.filFil: López-Ridaura, Santiago. Centro Internacional de Mejoramiento de Maíz y Trigo; Mexicoes_AR
dc.description.filFil: Easdale, Marcos Horacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Consejo Nacional de Investigaciones Cientificas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentinaes_AR
dc.subtypecientifico


Files in this item

Thumbnail

This item appears in the following Collection(s)

common

Show simple item record