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Sustainability Assessment of Pasture-Based Dairy Sheep Systems: A Multidisciplinary and Multiscale Approach

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  • Luis Javier R. Barron

    (Lactiker Research Group, Department of Pharmacy and Food Science, Faculty of Pharmacy, University of the Basque Country (UPV/EHU), 01006 Vitoria-Gasteiz, Spain)

  • Aitor Andonegi

    (Department of Plant Biology and Ecology, Faculty of Science and Technology, UPV/EHU, 48940 Leioa, Spain
    Basque Center for Climate Change, Scientific Park of UPV/EHU, 48940 Leioa, Spain)

  • Gonzalo Gamboa

    (Institute of Environmental Science and Technology, Universitat Autònoma de Barcelona, 08193 Cerdanyola del Vallès, Spain)

  • Eneko Garmendia

    (Basque Center for Climate Change, Scientific Park of UPV/EHU, 48940 Leioa, Spain
    Department of Applied Economy, Faculty of Economics and Business, UPV/EHU, 01006 Vitoria-Gasteiz, Spain)

  • Oihana García

    (Department of Applied Economy, Faculty of Economics and Business, UPV/EHU, 01006 Vitoria-Gasteiz, Spain)

  • Noelia Aldai

    (Lactiker Research Group, Department of Pharmacy and Food Science, Faculty of Pharmacy, University of the Basque Country (UPV/EHU), 01006 Vitoria-Gasteiz, Spain)

  • Arantza Aldezabal

    (Department of Plant Biology and Ecology, Faculty of Science and Technology, UPV/EHU, 48940 Leioa, Spain)

Abstract

This 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.

Suggested Citation

  • Luis Javier R. Barron & Aitor Andonegi & Gonzalo Gamboa & Eneko Garmendia & Oihana García & Noelia Aldai & Arantza Aldezabal, 2021. "Sustainability Assessment of Pasture-Based Dairy Sheep Systems: A Multidisciplinary and Multiscale Approach," Sustainability, MDPI, vol. 13(7), pages 1-17, April.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:7:p:3994-:d:529595
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    References listed on IDEAS

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    Cited by:

    1. Donatella Di Gregorio & Matteo Bognanno & Valentina Rosa Laganà & Agata Nicolosi, 2022. "Local Proximity Cheeses: Choices That Guiding Consumers and Orienting Producers—Case Studies," Sustainability, MDPI, vol. 15(1), pages 1-21, December.
    2. Marta Teston & Matteo Orsi & Giovanni Bittante & Alessio Cecchinato & Luigi Gallo & Paola Gatto & Lucio Flavio Macedo Mota & Maurizio Ramanzin & Salvatore Raniolo & Antonella Tormen & Enrico Sturaro, 2022. "Added Value of Local Sheep Breeds in Alpine Agroecosystems," Sustainability, MDPI, vol. 14(8), pages 1-18, April.

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