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dc.contributor.authorRodríguez Barrón, Luis Javier ORCID
dc.contributor.authorAndonegi, Aitor
dc.contributor.authorGamboa, Gonzalo
dc.contributor.authorGarmendia Oleaga, Eneko
dc.contributor.authorGarcía Alonso, Oihana ORCID
dc.contributor.authorAldai Elkoro-Iribe, Noelia
dc.contributor.authorAldezabal Roteta, María Arantzazu ORCID
dc.date.accessioned2021-04-20T12:11:06Z
dc.date.available2021-04-20T12:11:06Z
dc.date.issued2021-04-02
dc.identifier.citationSustainability 13(7) : (2021) // Article ID 3994es_ES
dc.identifier.issn2071-1050
dc.identifier.urihttp://hdl.handle.net/10810/51108
dc.description.abstractThis article describes a novel methodological approach for the integrated sustainability assessment of pasture-based dairy sheep systems. Most studies on livestock system sustainability focus on animal production, farm profitability, and mitigation strategies of greenhouse gas emissions. However, recent research indicates that pasture-based livestock farming also contributes positively to rural areas, and the associated increase in plant diversity promotes ecosystem functioning and services in natural and managed grasslands. Likewise, little attention has focused on how pasture-based livestock systems affect soil carbon changes, biodiversity, and ecotoxicity. Furthermore, the quality and safety of food products, particularly sheep milk and cheese, and socioeconomic issues such as cultural heritage and consumer behavior are often neglected in livestock system sustainability assessments. To improve the analysis of sustainability and adaptation strategies of livestock systems, we suggest a holistic approach that integrates indicators from diverse disciplines with complementary methods and models capable of capturing the complexity of these systems at multiple scales. A multidisciplinary perspective generates new indicators to identify critical trade-offs and synergies related to the resilience of dairy sheep livestock systems. A multiscale approach provides insights on the effects of socioeconomic and environmental changes associated with current dairy sheep grazing systems across multiple scales. The combined approach will facilitate the development and progressive implementation of novel management strategies needed to adapt pasture-based dairy sheep farms to changing conditions under future socioeconomic and environmental scenarios.es_ES
dc.description.sponsorshipFinancial support was provided by the Spanish (AGL2013-48361-C2-R) and Basque (IT944-16; IT1022-16; IT1365-19) Governments.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/AGL2013-48361-C2-Res_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subjectdairy sheep livestockes_ES
dc.subjectgrazing managementes_ES
dc.subjectmultidisciplinary indicatorses_ES
dc.subjectmultiscale dimensiones_ES
dc.subjectsustainability assessmentes_ES
dc.titleSustainability Assessment of Pasture-Based Dairy Sheep Systems: A Multidisciplinary and Multiscale Approaches_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2021-04-09T13:48:38Z
dc.rights.holder2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).es_ES
dc.relation.publisherversionhttps://www.mdpi.com/2071-1050/13/7/3994/htmes_ES
dc.identifier.doi10.3390/su13073994
dc.departamentoesBiología vegetal y ecología
dc.departamentoesEconomía aplicada I
dc.departamentoeuLandaren biologia eta ekologia
dc.departamentoeuEkonomia aplikatua I


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2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).