000168546 001__ 168546
000168546 005__ 20260209162330.0
000168546 0247_ $$2doi$$a10.1016/j.smallrumres.2025.107684
000168546 0248_ $$2sideral$$a147972
000168546 037__ $$aART-2025-147972
000168546 041__ $$aeng
000168546 100__ $$aPrat-Benhamou, Alicia
000168546 245__ $$aAssessing resilience of small ruminant farms in Spain: A longitudinal analysis based on FADN
000168546 260__ $$c2025
000168546 5060_ $$aAccess copy available to the general public$$fUnrestricted
000168546 5203_ $$aIn the last decades, increasingly complex challenges are threatening the viability of European small ruminant farming systems. Thus, studying the resilience of small ruminant farms is key to strengthen their ability to face the current global scenario and guarantee their long-term viability. This study uses FADN (Farm Accountancy Data Network) data from 2014 to 2022 to explore how the three resilience capacities (i.e., robustness, adaptation and transformation) contribute to the resilience of Spanish small ruminant farms and examines which farm characteristics are associated with higher resilience outcomes. Each resilience capacity is quantified by considering changes over time in a set of selected indicators. We defined best and worst performers per year for each resilience capacity and used Elastic Net regression models to understand the probability of farms to belong to the best and worst performers based on a set of farm indicators. Overall, farms were more robust than adaptable or transformable, and that their adaptation and transformation was limited. The probability to belong the best performing group was variable in the case studies. Still, some indicators increased farms probability of belonging to the best performing group: Production efficiency for robustness, and Hectares per livestock and On-farm feed ratio for adaptation. By contrast, Family labour ratio was negatively related to the best performers in terms of adaptation. In these regards, strengthening the resilience of small ruminant farms would require strategies building adaptation and transformation considering the farm indicators that contribute to perform better in these capacities.
000168546 536__ $$9info:eu-repo/grantAgreement/ES/DGA/A26-23R$$9info:eu-repo/grantAgreement/ES/MICINN PID2020-120312RA-I00
000168546 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
000168546 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000168546 700__ $$0(orcid)0000-0002-3237-9751$$aBernués, Alberto
000168546 700__ $$aSoriano, Bárbara
000168546 700__ $$0(orcid)0000-0002-3817-1679$$aOlaizola, Ana M.$$uUniversidad de Zaragoza
000168546 700__ $$0(orcid)0000-0002-2087-961X$$aMartín-Collado, Daniel
000168546 7102_ $$15011$$2235$$aUniversidad de Zaragoza$$bDpto. CC.Agrar.y Medio Natural$$cÁrea Econom.Sociol.Polit.Agra.
000168546 773__ $$g255 (2025), 107684 [9 pp.]$$pSmall rumin. res.$$tSmall Ruminant Research$$x0921-4488
000168546 8564_ $$s781777$$uhttps://zaguan.unizar.es/record/168546/files/texto_completo.pdf$$yVersión publicada
000168546 8564_ $$s2527201$$uhttps://zaguan.unizar.es/record/168546/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000168546 909CO $$ooai:zaguan.unizar.es:168546$$particulos$$pdriver
000168546 951__ $$a2026-02-09-14:43:09
000168546 980__ $$aARTICLE