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Prat-Benhamou, AliciaCorresponding AuthorBernues, AlbertoAuthorMartin-Collado, DanielAuthor

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August 4, 2024
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How do farm and farmer attributes explain perceived resilience?

Publicated to:Agricultural Systems. 219 104016- - 2024-06-05 219(), DOI: 10.1016/j.agsy.2024.104016

Authors: Prat-Benhamou, Alicia; Bernues, Alberto; Gaspar, Paula; Lizarralde, Joseba; Mancilla-Leyton, Juan Manuel; Mandaluniz, Nerea; Mena, Yolanda; Soriano, Barbara; Onde, Daniel; Martin-Collado, Daniel

Affiliations

Basque Res & Technol Alliance BRTA, NEIKER Basque Inst Agr Res & Dev, N-104,Km 355, E-01192 Arkaute Alava, Spain - Author
Ctr Invest & Tecnol Agroalimentaria Aragon CITA, Dept Ciencia Anim, Avda Montanana 930, Zaragoza 50059, Spain - Author
Univ Complutense Madrid UCM, Madrid 28223, Spain - Author
Univ Extremadura INURA, Dept Prod Anim & Ciencia Alimentos, Inst Univ Invest Recursos Agr, Avda Adolfo Suarez,S, Badajoz 06007, Spain - Author
Univ Politecn Madrid, CEIGRAM, Calle Senda Rey 13, Madrid 28040, Spain - Author
Univ Seville, Escuela Tecn Super Ingn Agron, Dept Agron, Seville 41013, Spain - Author
Univ Seville, Fac Biol, Dept Biol Vegetal & Ecol, Seville 41012, Spain - Author
Univ Seville, Inst Interuniv Andaluz Robot & Sistemas Inteligent, Robot & Intelligent Syst RIS, Calle Torricelli 18-20, Seville 41092, Spain - Author
Univ Zaragoza, Inst Agroalimentario Aragon IA2, CITA, Zaragoza, Spain - Author
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Abstract

CONTEXT: Uncertainty surrounds farming systems across Europe and strengthening their resilience lies at the centre of the European policy agenda. Although farming systemsresilience has been widely conceptualised, no consensus has been reached about assessing the contribution of farm and farmer attributes to farmersperceived resilience by quantitative approaches. OBJECTIVE: The aim of this study was to understand what farm(er) attributes and principles contribute to explain farmersperceived resilience. Our specific objectives are to: i) develop a conceptual framework composed of attributes, principles and capacities to assess farms ' resilience, including farmer personal resilience as a resilience principle; ii) quantify links between farm attributes and resilience principles with farmers perceived resilience capacities. METHODS: We developed a framework that includes different farm and farmer attributes grouped into resilience principles. We designed and conducted a structured survey to allow small ruminant farmers in Spain to self -assess their resilience attributes and capacities. We used structural equation modelling to assess to what extent resilience attributes and principles explain perceived robustness, adaptability, transformability capacities and overall resilience. RESULTS AND CONCLUSIONS: Farmers perceived resilience can be explained by several resilience attributes and principles, including farmers' personal resilience. Some attributes contribute similarly to robustness, adaptability and transformability, while others contribute particularly to each capacity. Farm diversity, tightness of feedbacks and farmers personal resilience were key for explaining farmers perceived resilience for small ruminant farming systems in Spain. In particular, farmer optimism, and farms' ability to respond in different ways to challenges and to overcome difficulties in the past, were the attributes that most influenced resilience perceptions. Our results highlight the importance of farmer personality, in addition to farm characteristics, for understanding farmers' resilience perceptions. SIGNIFICANCE: This study contributes to the development of quantitative farm resilience assessments by considering multiple farm attributes and also several farmers' psychological attributes. Our framework provides a list of attributes and principles that can be applied to different farming systems. We provide a specific approach to identify the most relevant attributes and principles that drive perceived resilience in a large set of them that could guide farm and stakeholders' decision making.

Keywords

Ecosystem servicesIndicadoresMattersModelizaciónOptimismPequeños rumiantesPerceptionsPersonal resilienceResilience assessmentResilience frameworkResilience indicatorsResilienciaScalSmall ruminantSmall ruminantsStructural equation modellingSustainabilitySystems

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Agricultural Systems due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2024 there are still no calculated indicators, but in 2023, it was in position 5/89, thus managing to position itself as a Q1 (Primer Cuartil), in the category Agriculture, Multidisciplinary. Notably, the journal is positioned above the 90th percentile.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2025-07-10:

  • WoS: 3
  • Scopus: 3

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-07-10:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 27.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 44 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 2.7.
  • The number of mentions on the social network X (formerly Twitter): 4 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: http://hdl.handle.net/10532/7105

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Prat Benhamou, Alicia) and Last Author (MARTIN COLLADO, DANIEL).

the author responsible for correspondence tasks has been Prat Benhamou, Alicia.