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Occupational Risk Assessment in Native Rainforest Management (MIAR forest )—Parameters Definition and Validation

Author

Listed:
  • Killian Lima

    (Associated Laboratory for Energy, Transports and Aeronautics (LAETA-PROA), Faculty of Engineering, University of Porto (FEUP), Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal)

  • Ana C. Meira Castro

    (Centro de Recursos Naturais e Ambiente (CERENA-Porto), School of Engineering of the Polytechnic of Porto, Rua Dr. António Bernardino de Almeida, 431, 4200-072 Porto, Portugal)

  • João Santos Baptista

    (Associated Laboratory for Energy, Transports and Aeronautics (LAETA-PROA), Faculty of Engineering, University of Porto (FEUP), Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal)

Abstract

Maintaining native rainforests as a sustainable ecosystem and their resilience to external pressures involves their economic profitability as a natural resource of unique and renewable products. For this purpose, new approaches have been developed and refined. This work seeks to contribute in this direction in the context of occupational safety and health (OSH) by presenting a new method for integrated assessment of risks for rainforests (MIAR forest ). The MIAR forest is based on the MIAR, a method that has shown promising results in occupational risk assessment in different industrial sectors. Its parameters were discussed and assessed to improve their relevance, wording and risk assessment through the Delphi methodology by a panel of 62 experts in forestry and OSH who responded independently to questionnaires made available through Google Forms. A consensus of over 79% among the experts was reached in two rounds. This result highlights the high objectivity and the low percentage of dubious possible interpretations of the parameters and sub-parameters of this occupational risk assessment method.

Suggested Citation

  • Killian Lima & Ana C. Meira Castro & João Santos Baptista, 2023. "Occupational Risk Assessment in Native Rainforest Management (MIAR forest )—Parameters Definition and Validation," Sustainability, MDPI, vol. 15(8), pages 1-15, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:8:p:6794-:d:1126139
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    Cited by:

    1. Killian Lima & Ana C. Meira Castro & João Santos Baptista, 2023. "MIAR forest Reproducibility and Reliability for Assessing Occupational Risks in the Rainforest," Sustainability, MDPI, vol. 15(20), pages 1-14, October.

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