IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i9p4953-d798004.html
   My bibliography  Save this article

A Model to Support Sustainable Resource Management in the “Etna River Valleys” Biosphere Reserve: The Dominance-Based Rough Set Approach

Author

Listed:
  • Alessandro Scuderi

    (Department of Agriculture, Food and Environment (Di3A), University of Catania, 95127 Catania, Italy)

  • Luisa Sturiale

    (Department of Civil Engineering and Architecture (DICAR), University of Catania, 95127 Catania, Italy)

  • Giuseppe Timpanaro

    (Department of Agriculture, Food and Environment (Di3A), University of Catania, 95127 Catania, Italy)

  • Agata Matarazzo

    (Department Economics and Business (DEI), University of Catania, 9512 Catania, Italy)

  • Silvia Zingale

    (Department of Agriculture, Food and Environment (Di3A), University of Catania, 95127 Catania, Italy)

  • Paolo Guarnaccia

    (Department of Agriculture, Food and Environment (Di3A), University of Catania, 95127 Catania, Italy)

Abstract

For several decades, studies and conventions have highlighted the importance of the ecosystem services provided by natural resources and biodiversity for humanity and the need to move their management towards a sustainable model. Inthe United Nations 2030 Agenda for Sustainable Development (2015), among its 17 Sustainable Development Goals (SDGs), there isalsoSDG 15, “ Life on Land ”, specifically dedicated to biodiversity, forests and desertification. The aim is to “ sustainably manage forests, combat desertification, halt and reverse land degradation, and halt the loss of bio-diversity ”. The UNESCO “ MAB—Man and Biosphere ” Programme could achieve this goal by establishing Biosphere Reserves (BRs). Among them, the establishment of the BR “ Etna river valleys ” is an opportunity to adopt sustainable development models in the “Etna Park system” (UNESCO site since 2013) for the regeneration of virtuous relationships between cities and rural areas and the promotion of the conservation of natural resources and biodiversity through strategies of territorial enhancement with a multifunctional vision of agriculture and territory. This research aims to provide, through the methodology of “Rough Sets”, a useful tool to support the strategic choices that stakeholders will be called upon to make for the management of the complex environmental, cultural and economic mosaic that characterises the BR “ Etna river valleys ”.The results show both weaknesses and strengths in the transition towards a sustainable land management model, which will nonethelesshave to be supported and accompanied by information and financial support.

Suggested Citation

  • Alessandro Scuderi & Luisa Sturiale & Giuseppe Timpanaro & Agata Matarazzo & Silvia Zingale & Paolo Guarnaccia, 2022. "A Model to Support Sustainable Resource Management in the “Etna River Valleys” Biosphere Reserve: The Dominance-Based Rough Set Approach," Sustainability, MDPI, vol. 14(9), pages 1-19, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:4953-:d:798004
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/9/4953/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/9/4953/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Agata Matarazzo, 2018. "Rough Set Applied to Air Pollution: A New Approach to Manage Pollutions in High Risk Rate Industrial Areas," Chapters, in: Sonia Soloneski & Marcelo L. Larramendy (ed.), Emerging Pollutants - Some Strategies for the Quality Preservation of Our Environment, IntechOpen.
    2. Greco, Salvatore & Matarazzo, Benedetto & Slowinski, Roman, 2001. "Rough sets theory for multicriteria decision analysis," European Journal of Operational Research, Elsevier, vol. 129(1), pages 1-47, February.
    3. Ana F. Ferreira & Heike Zimmermann & Rui Santos & Henrik Von Wehrden, 2018. "A Social–Ecological Systems Framework as a Tool for Understanding the Effectiveness of Biosphere Reserve Management," Sustainability, MDPI, vol. 10(10), pages 1-26, October.
    4. Schultz, Lisen & Duit, Andreas & Folke, Carl, 2011. "Participation, Adaptive Co-management, and Management Performance in the World Network of Biosphere Reserves," World Development, Elsevier, vol. 39(4), pages 662-671, April.
    5. Luisa Sturiale & Alessandro Scuderi & Giuseppe Timpanaro & Benedetto Matarazzo, 2020. "Sustainable Use and Conservation of the Environmental Resources of the Etna Park (UNESCO Heritage): Evaluation Model Supporting Sustainable Local Development Strategies," Sustainability, MDPI, vol. 12(4), pages 1-16, February.
    6. United Nations UN, 2015. "Transforming our World: the 2030 Agenda for Sustainable Development," Working Papers id:7559, eSocialSciences.
    7. Kraus Felix & Merlin Cornelius & Job Hubert, 2014. "Biosphere reserves and their contribution to sustainable development," ZFW – Advances in Economic Geography, De Gruyter, vol. 58(1), pages 164-180, October.
    8. Pawlak, Zdzislaw, 1997. "Rough set approach to knowledge-based decision support," European Journal of Operational Research, Elsevier, vol. 99(1), pages 48-57, May.
    9. Ferretti, Paola & Zolin, Maria Bruna & Ferraro, Giacomo, 2020. "Relationships among sustainability dimensions: evidence from an Alpine area case study using Dominance-based Rough Set Approach," Land Use Policy, Elsevier, vol. 92(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sung-Shun Weng & Yang Liu & Juan Dai & Yen-Ching Chuang, 2020. "A Novel Improvement Strategy of Competency for Education for Sustainable Development (ESD) of University Teachers Based on Data Mining," Sustainability, MDPI, vol. 12(7), pages 1-18, March.
    2. Salvatore Barbagallo & Simona Consoli & Nello Pappalardo & Salvatore Greco & Santo Zimbone, 2006. "Discovering Reservoir Operating Rules by a Rough Set Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(1), pages 19-36, February.
    3. Liou, James J.H. & Yen, Leon & Tzeng, Gwo-Hshiung, 2010. "Using decision rules to achieve mass customization of airline services," European Journal of Operational Research, Elsevier, vol. 205(3), pages 680-686, September.
    4. Bhattarai, Kiran Kumari & Pant, Laxmi Prasad & FitzGibbon, John, 2020. "Contested governance of drinking water provisioning services in Nepal’s transboundary river basins," Ecosystem Services, Elsevier, vol. 45(C).
    5. Chung-Ho Su, 2017. "A Novel Hybrid Learning Achievement Prediction Model: A Case Study in Gamification Education Applications (APPs)," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(02), pages 515-543, March.
    6. Chen, Li-Fei & Tsai, Chih-Tsung, 2016. "Data mining framework based on rough set theory to improve location selection decisions: A case study of a restaurant chain," Tourism Management, Elsevier, vol. 53(C), pages 197-206.
    7. Greco, Salvatore & Matarazzo, Benedetto & Slowinski, Roman, 2002. "Rough sets methodology for sorting problems in presence of multiple attributes and criteria," European Journal of Operational Research, Elsevier, vol. 138(2), pages 247-259, April.
    8. Renaud, J. & Thibault, J. & Lanouette, R. & Kiss, L.N. & Zaras, K. & Fonteix, C., 2007. "Comparison of two multicriteria decision aid methods: Net Flow and Rough Set Methods in a high yield pulping process," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1418-1432, March.
    9. Sena-Vittini, Mildred & Gomez-Valenzuela, Victor & Ramirez, Katerin, 2023. "Social perceptions and conservation in protected areas: Taking stock of the literature," Land Use Policy, Elsevier, vol. 131(C).
    10. Sarah Ben Amor & Fateh Belaid & Ramzi Benkraiem & Boumediene Ramdani & Khaled Guesmi, 2023. "Multi-criteria classification, sorting, and clustering: a bibliometric review and research agenda," Annals of Operations Research, Springer, vol. 325(2), pages 771-793, June.
    11. Ana Filipa Ferreira & Heike Zimmermann & Rui Santos & Henrik von Wehrden, 2020. "Biosphere Reserves’ Management Effectiveness—A Systematic Literature Review and a Research Agenda," Sustainability, MDPI, vol. 12(14), pages 1-32, July.
    12. Min-Hsiung Wei & Ching-Hsue Cheng & Chung-Shih Huang & Po-Chang Chiang, 2013. "Discovering medical quality of total hip arthroplasty by rough set classifier with imbalanced class," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(3), pages 1761-1779, April.
    13. Luisa Sturiale & Alessandro Scuderi & Giuseppe Timpanaro & Benedetto Matarazzo, 2020. "Sustainable Use and Conservation of the Environmental Resources of the Etna Park (UNESCO Heritage): Evaluation Model Supporting Sustainable Local Development Strategies," Sustainability, MDPI, vol. 12(4), pages 1-16, February.
    14. Inayat Ullah & Dong-Young Kim, 2021. "Inclusive Governance and Biodiversity Conservation: Evidence from Sub-Saharan Africa," Sustainability, MDPI, vol. 13(7), pages 1-27, March.
    15. Papob Jeerat & Phutthisun Kruekum & Phahol Sakkatat & Nakarate Rungkawat & Saisakul Fongmul, 2022. "Developing a Model for Building Farmers’ Beliefs in the Sufficiency Economy Philosophy to Accommodate Sustainable Agricultural Practices in the Highlands of Chiang Mai Province, Thailand," Sustainability, MDPI, vol. 15(1), pages 1-16, December.
    16. Copiello, Sergio, 2016. "Leveraging energy efficiency to finance public-private social housing projects," Energy Policy, Elsevier, vol. 96(C), pages 217-230.
    17. Paulina Schiappacasse & Bernhard Müller & Le Thuy Linh, 2019. "Towards Responsible Aggregate Mining in Vietnam," Resources, MDPI, vol. 8(3), pages 1-15, August.
    18. Pina Puntillo, 2023. "Circular economy business models: Towards achieving sustainable development goals in the waste management sector—Empirical evidence and theoretical implications," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(2), pages 941-954, March.
    19. Wen-Min Lu & Qian Long Kweh & Chung-Wei Wang, 2021. "Integration and application of rough sets and data envelopment analysis for assessments of the investment trusts industry," Annals of Operations Research, Springer, vol. 296(1), pages 163-194, January.
    20. Schlör, Holger & Venghaus, Sandra & Hake, Jürgen-Friedrich, 2018. "The FEW-Nexus city index – Measuring urban resilience," Applied Energy, Elsevier, vol. 210(C), pages 382-392.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:4953-:d:798004. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.