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Forest fires in Caatinga: Risk modeling and priority areas for prevention

dc.contributor.authorde Aquino Aragão, Mariana
dc.contributor.authorFiedler, Nilton Cesar
dc.contributor.authordos Santos, Alexandre Rosa
dc.contributor.authorMoreira, Tais Rizzo
dc.contributor.authorRamalho, Antonio Henrique Cordeiro
dc.contributor.authorGomes, Robert
dc.contributor.authorSouto, Patrícia Carneiro
dc.contributor.authorde Oliveira Peluzio, Telma Machado
dc.contributor.authorFerrari, Jéferson Luiz
dc.contributor.authorSimões, Danilo [UNESP]
dc.contributor.authorBiazatti, Leonardo Duarte
dc.contributor.authorLucas, Fernanda Moura Fonseca
dc.date.accessioned2026-04-09T19:42:04Z
dc.date.issued2025-11-01
dc.description.abstractFire occurrences have recently been increasing worldwide. The Caatinga is an exclusively Brazilian biome, and although it has been considered independent of fire, it has been gaining prominence in terms of fire occurrences, mainly due to the arid climate and human activities. Thus, the objective of this study was to propose a forest fire risk zoning for the Caatinga Biome considering its environmental and social characteristics, as well as to define priority regions where forest fire prevention is essential for preserving Caatinga biodiversity based on forest fire risk, fire history and vegetation type. The use of Fuzzy Logic associated with the Analytical Hierarchy Process technique enabled accurate risk modeling for the biome with 96.6 % assertiveness, classifying the biome area as high-risk for the occurrence of forest fires. Regarding location, the northern and western portions, with emphasis on the limits with the Cerrado Biome, were the regions where the model indicated a very high risk of fire. Vegetation located on private properties generally has a greater need for protection (92.02 %) due to fragmentation and proximity to agricultural activities. Conservation units and indigenous lands encompassed 7.98 % of the areas where forest fire prevention measures should be adopted, especially for the sustainable use category, such as Environmental Preservation Areas. Piauí, Bahia and Ceará states had the greatest delimited area representation of the greatest need for fire prevention activities and conservation of local biodiversity. These results indicate that monitoring and training measures for farmers should be implemented to prevent ecosystem losses due to forest fires.
dc.description.affiliationFederal University of Espírito Santo/UFES, Department of Forestry and Wood Sciences, Av. Governador Lindemberg, 316, Jerônimo Monteiro, ES 29550-000, Brazil
dc.description.affiliationNational Institute of the Atlantic Forest/INMA, Av. José Ruschi, 4, Santa Teresa, ES 29650-000, Brazil
dc.description.affiliationFederal University of Western Pará/UFOPA, Institute of Biodiversity and Forests, R. Vera Paz – Salé, Block 8, Santarém, PA 68040-255, Brazil
dc.description.affiliationFederal University of Campina Grande/UFCG, Av. Universitária s/n, Santa Cecilia, Patos, PB, Brazil
dc.description.affiliationFederal Institute of Espírito Santo/IFES, Campus Alegre, BR 482, km 7, Alegre/Rive, ES 29500-000, Brazil
dc.description.affiliationSão Paulo State University/UNESP, Department of Forest Science, Soils and Environment, School of Agriculture, Botucatu, São Paulo, SP 18610-034, Brazil
dc.description.affiliationUnespSão Paulo State University/UNESP, Department of Forest Science, Soils and Environment, School of Agriculture, Botucatu, São Paulo, SP 18610-034, Brazil
dc.identifierhttps://app.dimensions.ai/details/publication/pub.1193928050
dc.identifier.dimensionspub.1193928050
dc.identifier.doi10.1016/j.ppees.2025.125903
dc.identifier.issn1433-8319
dc.identifier.issn1618-0437
dc.identifier.orcid0000-0002-5182-9535
dc.identifier.orcid0000-0003-2617-9451
dc.identifier.orcid0000-0001-5536-6286
dc.identifier.orcid0000-0002-0037-5422
dc.identifier.orcid0000-0003-4631-5342
dc.identifier.orcid0000-0002-9345-8592
dc.identifier.orcid0000-0002-3181-2568
dc.identifier.orcid0000-0002-4376-3660
dc.identifier.orcid0000-0001-8009-2598
dc.identifier.urihttps://hdl.handle.net/11449/320990
dc.publisherElsevier
dc.relation.ispartofPerspectives in Plant Ecology Evolution and Systematics; v. 69; p. 125903
dc.rights.accessRightsAcesso restritopt
dc.rights.sourceRightsclosed
dc.sourceDimensions
dc.titleForest fires in Caatinga: Risk modeling and priority areas for prevention
dc.typeArtigopt
dspace.entity.typePublication
relation.isOrgUnitOfPublicationef1a6328-7152-4981-9835-5e79155d5511
relation.isOrgUnitOfPublication.latestForDiscoveryef1a6328-7152-4981-9835-5e79155d5511
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências Agronômicas, Botucatupt

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