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Forest fire risk indicator (FFRI) based on geoprocessing and multicriteria analysis

Author

Listed:
  • Jocy Ana Paixão Sousa

    (São Paulo State University (Unesp))

  • Elfany Reis Nascimento Lopes

    (Federal University Southern of Bahia, Universitary Campus Sosigenes Costa)

  • Miqueias Lima Duarte

    (São Paulo State University (Unesp))

  • Henrique Ewbank

    (Facens University)

  • Roberto Wagner Lourenço

    (São Paulo State University (Unesp))

Abstract

Forest fires negatively impact ecosystem services, affecting human welfare. The present study proposes a Forest Fire Risk Indicator (FFRI) based on the Fire and Burn Risk Indicator (FBRI). The instrument was applied to the Sorocabuçu River Basin in São Paulo State, Brazil. The FBRI was initially obtained by using the factors that most contribute to the start or spread of fires according to the literature. These factors were later grouped into anthropogenic, topographic, land cover/land use, and climatic variables. The factors of each variable were classified into intervals to which a fire risk value was assigned ranging from 0 (null risk) to 1 (very high risk). By applying the Analytical Hierarchy Process, we obtained the final FBRI, after which the FFRI was created. The final FBRI showed predominantly high risks (64.78%) throughout the basin, as well as the FFRI (82.56%). The present study evidences that most forest fragments need measures for ecosystem protection. This can be done in different ways such as monitoring through fire towers and conduction of environmental education activities.

Suggested Citation

  • Jocy Ana Paixão Sousa & Elfany Reis Nascimento Lopes & Miqueias Lima Duarte & Henrique Ewbank & Roberto Wagner Lourenço, 2022. "Forest fire risk indicator (FFRI) based on geoprocessing and multicriteria analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(2), pages 2311-2330, November.
    • Handle: RePEc:spr:nathaz:v:114:y:2022:i:2:d:10.1007_s11069-022-05473-x
    DOI: 10.1007/s11069-022-05473-x
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