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Assessing the Degree of Sustainability in Extractive Reserves in the Amazon Biome Using the Fuzzy Logic Tool for Decision Making

Author

Listed:
  • Raimundo Valdan Pereira Lopes

    (Institute of Nature and Culture, Federal University of Amazonas, Benjamin Constant 69630-000, Brazil
    Postgraduate Programme in Society, Technology, and the Environment, Evangelical University of Goiás, Anápolis 75083-515, Brazil)

  • Francisco Leonardo Tejerina-Garro

    (Postgraduate Programme in Society, Technology, and the Environment, Evangelical University of Goiás, Anápolis 75083-515, Brazil
    Postgraduate Programme in Environmental Sciences and Health, Pontifical Catholic University of Goiás, Goiânia 74605-010, Brazil)

  • Jandecy Cabral Leite

    (Postgraduate Programme in Engineering, Processes, Systems and Environmental Management, Galileo Institute of Technology and Education in Amazonia, Manaus 69020-030, Brazil)

  • Manoel Henrique Reis Nascimento

    (Postgraduate Programme in Engineering, Processes, Systems and Environmental Management, Galileo Institute of Technology and Education in Amazonia, Manaus 69020-030, Brazil)

  • Aline Santos do Nascimento

    (Postgraduate Programme in Engineering, Processes, Systems and Environmental Management, Galileo Institute of Technology and Education in Amazonia, Manaus 69020-030, Brazil)

Abstract

The Extractive Reserve (RESEX) was designed to protect rubber tapping communities and their livelihoods, thus guaranteeing environmental health. This study was carried out between 2021 and 2023 and aimed to propose a methodology based on the fuzzy logic method to assess the degree of sustainability in RESEXs in the state of Amazonas, Brazil. For this assessment, 10 indicators were used, represented through input variables in the fuzzy inference systems represented by the Environmental Subsystem (ES), Economic Subsystem (ECS), Social Subsystem (SS), and Institutional Subsystem (IS), with performances that converged so that the Sustainability System in the RESEX (SRE) system reached a performance value of 30.0, on a scale of 0 to 100, which translates into low sustainability in these spaces in the state of Amazonas. The methodology’s ability to represent the main phenomena that impact sustainability in the RESEX studied through linguistic variables and weight them in their complexities, as well as inferring a set of decision rules that reflect the knowledge of experts and which aim to quantitatively contextualise sustainability under uncertainty and imprecision in these areas, makes it a viable instrument to be applied and used by managers and decision-makers in the management of these spaces.

Suggested Citation

  • Raimundo Valdan Pereira Lopes & Francisco Leonardo Tejerina-Garro & Jandecy Cabral Leite & Manoel Henrique Reis Nascimento & Aline Santos do Nascimento, 2024. "Assessing the Degree of Sustainability in Extractive Reserves in the Amazon Biome Using the Fuzzy Logic Tool for Decision Making," Sustainability, MDPI, vol. 16(8), pages 1-21, April.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:8:p:3279-:d:1375783
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    References listed on IDEAS

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    1. Pinillos, Daniel & Poccard-Chapuis, René & Bianchi, Felix J.J.A. & Corbeels, Marc & Timler, Carl J. & Tittonell, Pablo & R. Ballester, Maria Victoria & Schulte, Rogier P., 2021. "Landholders' perceptions on legal reserves and agricultural intensification: Diversity and implications for forest conservation in the eastern Brazilian Amazon," Forest Policy and Economics, Elsevier, vol. 129(C).
    2. Andriantiatsaholiniaina, Luc A. & Kouikoglou, Vassilis S. & Phillis, Yannis A., 2004. "Evaluating strategies for sustainable development: fuzzy logic reasoning and sensitivity analysis," Ecological Economics, Elsevier, vol. 48(2), pages 149-172, February.
    3. Miranda, Juan José & Corral, Leonardo & Blackman, Allen & Asner, Gregory & Lima, Eirivelthon, 2016. "Effects of Protected Areas on Forest Cover Change and Local Communities: Evidence from the Peruvian Amazon," World Development, Elsevier, vol. 78(C), pages 288-307.
    4. Arraes, Ronaldo de Albuquerque e & Mariano, Francisca Zilania & Simonassi, Andrei Gomes, . "Causas do Desmatamento no Brasil e seu Ordenamento no Contexto Mundial," Brazilian Journal of Rural Economy and Sociology (Revista de Economia e Sociologia Rural-RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 50(01), pages 1-22.
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