Determinants of Fire Impact in the Brazilian Biomes

dc.creatorUbirajara Oliveira
dc.creatorBritaldo Soares-Filho
dc.creatorMercedes Bustamante
dc.creatorLeticia Gomes
dc.creatorJean P. Ometto
dc.creatorRaoni Guerra Lucas Rajão
dc.date.accessioned2023-10-23T21:09:23Z
dc.date.accessioned2025-09-08T22:56:13Z
dc.date.available2023-10-23T21:09:23Z
dc.date.issued2022-03-28
dc.description.sponsorshipCNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico
dc.format.mimetypepdf
dc.identifier.doihttps://doi.org/10.3389/ffgc.2022.735017
dc.identifier.issn2624-893X
dc.identifier.urihttps://hdl.handle.net/1843/59862
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofFrontiers in Forests and Global Change
dc.rightsAcesso Aberto
dc.subjectBrasil - Indicadores ambientais
dc.subjectEcossistemas
dc.subjectQueimada
dc.subject.otherBrasil - Indicadores ambientais
dc.subject.otherEcossistemas
dc.subject.otherQueimada
dc.titleDeterminants of Fire Impact in the Brazilian Biomes
dc.typeArtigo de periódico
local.citation.epage12
local.citation.spage735017
local.citation.volume5
local.description.resumoMore and more, wildfires are raging in large parts of the world due to a warmer climate, more frequent and severe droughts, and continued land-use changes. In Brazil, the weakening of public environmental policies has further aggravated wildfires with widespread impacts across the country. Here, we investigated the determinants of the impact of fire in the Brazilian biomes using a dataset of burned areas between 2001 and 2019 to simulate its future impact under alternative policy and climate scenarios. We began by deriving a fire impact index using a principal component (PC) analysis comprising the variables: 1. fire intensity, 2. fire recurrence, 3. burned area size, 4. mean time interval between successive fires, and 5. predominance of fires in the dry season. We considered as High Impact Fires (HIF) those areas whose values of the first PC were above the 90th percentile. HIF occurred in the Amazon, Cerrado, and Pantanal, but not in the Atlantic Forest, Pampa, and Caatinga biomes. As the main drivers of HIF, our spatial autoregressive models (SAR) (Amazônia R2 = 0.66, Pantanal R2 = 0.86 and Cerrado R2 = 0.79) indicated the climate (Amazon, 25%, Pantanal, 53%, and Cerrado, 56%) together with land-use change (Amazon, 75%, Pantanal, 25%, and Cerrado, 38%). Most HIF occurred in native vegetation remnants (NVR) (55% in the Amazon, 86% in the Pantanal and 94% in the Cerrado), especially in places close to areas deforested over the last two decades. Only in Pantanal fuel loads (dry biomass) play a major role in HIF (22% of explanation). In the Cerrado, it only accounted for 4% of the observed variability and in the Amazon, it was not a significant factor. Over the analyzed period, HIF imposed a loss of 23%, on average, on the NDVI response of the native vegetation in the Amazon, 19% in the Cerrado and 16% in the Pantanal, thus indicating physiological stress. Simulations of future climate and land-use change pointed to a dramatic increase in HIF by 2050. Under the RCP4.5 and strong environmental governance scenario, HIF in the Cerrado would expand from the current 3% of the biome to 15%, from 7 to 8% in the Pantanal and from 0.7 to 1.2% in the Amazon. In addition, the impact of fire would intensify in 95% of the Cerrado, 97% of the Amazon and 74% of the Pantanal. Effective public and private policies will be vital to mitigate the growing threat of HIF. In this sense, our spatially explicit models can help direct prevention and firefighting programs.
local.identifier.orcidhttps://orcid.org/0000-0002-1133-4837
local.publisher.countryBrasil
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA PRODUÇÃO
local.publisher.departmentENGENHARIA - ESCOLA DE ENGENHARIA
local.publisher.initialsUFMG
local.url.externahttps://www.frontiersin.org/articles/10.3389/ffgc.2022.735017/full

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