Functional farm household typologies through archetypal responses to disturbances

Autor: A. Solano-Hernández, Marcos Horacio Easdale, Octavio Augusto Bruzzone, Pablo Tittonell, Santiago Lopez-Ridaura
Přispěvatelé: Tittonell group, Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB), Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET)-Instituto Nacional de Tecnología Agropecuaria (INTA), Groningen Institute for Evolutionary Life Sciences [Groningen] (GELIFES), University of Groningen [Groningen], Agroécologie et Intensification Durables des cultures annuelles (UPR AIDA), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), International Maize and Wheat Improvement Center (CIMMYT), Consultative Group on International Agricultural Research [CGIAR] (CGIAR), University of Groningen
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Adaptive strategies
DROUGHTS
010504 meteorology & atmospheric sciences
Population agricole
[SDV]Life Sciences [q-bio]
Vulnerability
adaptation aux changements climatiques
01 natural sciences
Econometrics
ADAPTATION
Natural disaster
2. Zero hunger
Social-ecological systems
04 agricultural and veterinary sciences
Droughts
Variable (computer science)
Geography
Typology
Gestion du risque
Catastrophe naturelle
Diversification (marketing strategy)
NATURAL DISASTER
Ménage
SOCIAL-ECOLOGICAL SYSTEMS
vulnérabilité
Adaptation
Archetype
gestion des risques liés aux catastrophes
0105 earth and related environmental sciences
VULNERABILITY
E80 - Économie familiale et artisanale
Decision rule
15. Life on land
E20 - Organisation
administration et gestion des entreprises ou exploitations agricoles
CIENCIAS AGRÍCOLAS
13. Climate action
040103 agronomy & agriculture
0401 agriculture
forestry
and fisheries
Animal Science and Zoology
Otras Ciencias Agrícolas
Agronomy and Crop Science
Zdroj: Agricultural Systems, 178:102714. ELSEVIER SCI LTD
Agricultural Systems
Agricultural Systems, Elsevier Masson, 2020, 178, pp.102714-. ⟨10.1016/j.agsy.2019.102714⟩
ISSN: 0308-521X
DOI: 10.1016/j.agsy.2019.102714⟩
Popis: 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 ´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. Fil: Tittonell, Pablo. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina Fil: Bruzzone, Octavio Augusto. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina Fil: Solano Hernández, Ainhoa. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina Fil: López Ridaura, Santiago. Centro Internacional de Mejoramiento de Maíz y Trigo; México Fil: Easdale, Marcos Horacio. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Databáze: OpenAIRE
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