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Forest fire hazard zoning in Mato Grosso State, Brazil

Author

Listed:
  • Mota, Pedro Henrique Santos
  • Rocha, Samuel José Silva Soares da
  • Castro, Nero Lemos Martins de
  • Marcatti, Gustavo Eduardo
  • França, Luciano Cavalcante de Jesus
  • Schettini, Bruno Leão Said
  • Villanova, Paulo Henrique
  • Santos, Hugo Thaner dos
  • dos Santos, Alexandre Rosa

Abstract

This work aimed to map areas of forest fire risk in the state of Mato Grosso, Brazil. Study area is located in Brazilian Midwest region. Defined risk factors were: land-use, vegetation, slope, terrain orientation, proximity to roads and trails, altitude, precipitation, water deficit, evapotranspiration and temperature. Generated risk map was validated by overlapping it with fire occurrence points. It was observed that the highest risks of forest fires in Mato Grosso State are distributed in central and south / southwest regions. The majority of Mato Grosso area possesses high to extreme fire occurrence risk (55.76%). Adopted methodology was accurate in zoning fire risk in the evaluated area. Forest fire risk zoning provides subsidies for planning preventive and forest firefighting actions in the state. This methodology can be applied to other Brazilian or global regions.

Suggested Citation

  • Mota, Pedro Henrique Santos & Rocha, Samuel José Silva Soares da & Castro, Nero Lemos Martins de & Marcatti, Gustavo Eduardo & França, Luciano Cavalcante de Jesus & Schettini, Bruno Leão Said & Villan, 2019. "Forest fire hazard zoning in Mato Grosso State, Brazil," Land Use Policy, Elsevier, vol. 88(C).
    • Handle: RePEc:eee:lauspo:v:88:y:2019:i:c:s0264837719304624
    DOI: 10.1016/j.landusepol.2019.104206
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    References listed on IDEAS

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    1. Ekayani, Meti & Nurrochmat, Dodik Ridho & Darusman, Dudung, 2016. "The role of scientists in forest fire media discourse and its potential influence for policy-agenda setting in Indonesia," Forest Policy and Economics, Elsevier, vol. 68(C), pages 22-29.
    2. Silva, C.A. & Lima, Mendelson, 2018. "Soy Moratorium in Mato Grosso: Deforestation undermines the agreement," Land Use Policy, Elsevier, vol. 71(C), pages 540-542.
    3. Lima, Mendelson & Silva Junior, Carlos Antonio da & Rausch, Lisa & Gibbs, Holly K. & Johann, Jerry Adriani, 2019. "Demystifying sustainable soy in Brazil," Land Use Policy, Elsevier, vol. 82(C), pages 349-352.
    4. Saskia Keesstra & Gerben Mol & Jan De Leeuw & Joop Okx & Co Molenaar & Margot De Cleen & Saskia Visser, 2018. "Soil-Related Sustainable Development Goals: Four Concepts to Make Land Degradation Neutrality and Restoration Work," Land, MDPI, vol. 7(4), pages 1-20, November.
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    Cited by:

    1. Felipe Gimenes Rodrigues Silva & Alexandre Rosa dos Santos & Nilton Cesar Fiedler & Juarez Benigno Paes & Rodrigo Sobreira Alexandre & Plinio Antonio Guerra Filho & Rosane Gomes da Silva & Marks Melo , 2022. "Geotechnology Applied to Analysis of Vegetation Dynamics and Occurrence of Forest Fires on Indigenous Lands in Cerrado-Amazonia Ecotone," Sustainability, MDPI, vol. 14(11), pages 1-23, June.
    2. Stosic, Tatijana & Stosic, Borko, 2024. "Generalized weighted permutation entropy analysis of satellite hot-pixel time series in Brazilian biomes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 636(C).

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