Abstract
We analyzed the occurrences of fire foci between years 2001 and 2015 in Mato Grosso state, Brazil. For this, we used remote sensing data and we correlated fire with surface temperature, rainfall, wind speed, air temperature, relative humidity, and vegetation index. The data were analyzed within the state according to use and cover classes. We also spatialize the fire occurrence using Kernel density and analyze trends with the Mann–Kendall test. The year 2015 was the year with the highest average annual air temperature and lowest annual cumulative rainfall, and wet season with the lowest relative humidity and highest surface temperature. Therefore, it was the year with less difference in the number of fire foci between wet (40.53%) and dry (59.47%) seasons. The period 2002–2005 and the years 2007 and 2010 had the highest fire foci, representing about 66.5% of the total from 2001 to 2015. In these years, 80 to 83% of fire foci occurred in the dry season. The classes with the highest density of fire were Mining Area, Urban Area, Temporary Crops, and Pasture. The fire foci in Urbanized Area, Temporary Crops, Pasture and Forestry classes tended to decrease throughout the 15 years evaluated. Fire foci were negatively correlated with rainfall, relative humidity and soil water and positively correlated with wind and surface temperature. This demonstrates that public policies related to combating fires in Brazil must be intensified especially in years with prediction of extreme drought.
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References
Alencar, A. A., Brando, P. M., Asner, G. P., & Putz, F. E. (2015). Landscape fragmentation, severe drought, and the new Amazon forest fire regime. Climate Change 2013—The Physical Science Basis, 25(6), 1–30. https://doi.org/10.1890/14-1528.1
Alencar, A., Rodrigues, L., & Castro, I. (2020). Amazônia em chamas: O que queima e onde. Nota Técnica, IPAM, 5, 2020.
Alvares, C. A., Stape, J. L., Sentelhas, P. C., Sparovek, G., & de Moraes Gonçalves, J. L. (2013). Köppen’s climate classification map for Brazil. Meteorologische Zeitschrift, 22(6), 711–728. https://doi.org/10.1127/0941-2948/2013/0507
Alves, D. B., & Pérez-Cabello, F. (2017). Multiple remote sensing data sources to assess spatio-temporal patterns of fire incidence over Campos Amazônicos Savanna Vegetation Enclave (Brazilian Amazon). Science of the Total Environment, 601, 142–148. https://doi.org/10.1016/j.scitotenv.2017.05.194
Aragão, L. E. O., Shimabukuro, Y. E., Lima, A., Anderson, L. O., Barbier, N., & Saatchi, S. (2009). Utilização de produtos derivados de sensores orbitais para o estudo de queimadas na Amazônia. Anais XIV Simpósio Brasileiro de Sensoriamento Remoto, 919–925.
Aragão, L. E. O. C., Anderson, L. O., Fonseca, M. G., Rosan, T. M., Vedovato, L. B., Wagner, F. H., & Saatchi, S. (2018). 21st Century drought‐related fires counteract the decline of Amazon deforestation carbon emissions. Nature Communications, 9(1), 536. https://doi.org/10.1038/s41467-017-02771-y
Araujo, L. M. A. de, Silva, T. M. V. da, & Nascimento, E. R. do. (2007). Análise dos focos de calor em áreas florestais ao longo do Arco do Desflorestamento. Anais do XIII Simpósio Brasileiro de Sensoriamento Remoto, 4421–4423.
Arvor, D., Dubreuil, V., Ronchail, J., Simões, M., & Funatsu, B. M. (2013). Spatial patterns of rainfall regimes related to levels of double cropping agriculture systems in Mato Grosso (Brazil). International Journal of Climatology, 34(8), 2622–2633. https://doi.org/10.1002/joc.3863
Barbosa, M. L. F., Delgado, R. C., Teodoro, P. E., Pereira, M. G., Correia, T. P., de Mendonça, B. A. F., & de Rodrigues, R. Á. (2019). Occurrence of fire foci under different land uses in the State of Amazonas during the 2005 drought. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-018-0157-4
Barlow, J., Lennox, G. D., Ferreira, J., Berenguer, E., Lees, A. C., Nally, R. M., et al. (2016). Anthropogenic disturbance in tropical forests can double biodiversity loss from deforestation. Nature, 535(7610), 144–147. https://doi.org/10.1038/nature18326
Barni, P. E., Rego, A. C. M., Silva, F. C. F., Lopes, R. A. S., Xaud, H. A. M., Xaud, M. R., et al. (2021). Logging Amazon forest increased the severity and spread of fires during the 2015–2016 El Niño. Forest Ecology and Management. https://doi.org/10.1016/j.foreco.2021.119652
Borges, H. B. N., Silveira, E. A., & Vendramin, L. N. (2014). Flora arbórea de Mato Grosso: Tipologia vegetais e suas espécies. Entrelinhas.
Burton, C., Betts, R. A., Jones, C. D., Feldpausch, T. R., Cardoso, M., & Anderson, L. O. (2020). El Niño Driven Changes in Global Fire 2015/16. Frontiers in Earth Science, 8(199), 2020. https://doi.org/10.3389/feart.2020.00199
Busetto, L., Ranghetti, L., & Wasser, L. (2019). MODIStsp: A Tool for Automating Download and Preprocessing of MODIS Land Products Data. https://cran.r-project.org/web/packages/MODIStsp/index.html
Cataño, M. G. Q. (2021). Variabilidade espaço-temporal dos focos de queimadas sobre a região central da américa do sul. Dissertação, Instituto Nacional de Pesquisas da Amazônia, 1–115.
Cetin, M. (2019). The effect of urban planning on urban formations determining bioclimatic comfort area’s effect using satellitia imagines on air quality: A case study of Bursa city. Air Quality, Atmosphere and Health, 12, 1237–1249. https://doi.org/10.1007/s11869-019-00742-4
Choat, B., Jacobsen, A. L., Cochard, H., Sperry, J. S., Wright, I. J., Gleason, S. M., et al. (2012). Global convergence in the vulnerability of forests to drought. Nature, 491(7426), 752–755. https://doi.org/10.1038/nature11688
Companhia Nacional de Abastecimento—CONAB. (2020). Séries Históricas das Safras—Grãos por Unidade da Federação. https://www.conab.gov.br/info-agro/safras/serie-historica-das-safras?limitstart=0. Accessed 3 June 2020.
Cox, P. M., Jones, C. D., Betts, R. A., Harris, P. P., Huntingford, C., Nobre, C. A., et al. (2008). Increasing risk of Amazonian drought due to decreasing aerosol pollution. Nature, 453(7192), 212–215. https://doi.org/10.1038/nature06960
Da Silva, S. S., de Oliveira, I. S., Anderson, L. O., Fearnside, P. M., de Melo, A. W. F., da Costa, J. G., et al. (2019). Incêndios florestais e queimadas na Amazônia sul ocidental. Mapiense, 3, 27–35.
De Souza, A. P., Lima, L., Zamadei, T., Martim, C. C., De Almeida, F. T., & Paulino, J. (2013). Classificação climática e balanço hídrico climatológico no estado de Mato Grosso. Nativa, 1(1), 34–43. https://doi.org/10.14583/2318-7670.v01n01a07
Didan, K. (2015). MOD13Q1 MODIS/Terra Vegetation Indices 16-Day L3 Global 250m SIN Grid V006. NASA EOSDIS LP DAAC. https://doi.org/10.5067/MODIS/MOD13Q1.006
Fire Information for Resource Management System—FIRMS. MODIS Collection 6 Hotspot/Active Fire Detections MCD14ML distributed from NASA FIRMS. Available on-line [https://earthdata.nasa.gov/firms]. 10.5067/FIRMS/MODIS/MCD14ML
Fonseca, M. G., Alves, L. M., Aguiar, A. P. D., Arai, E., Anderson, L. O., Rosa, T. M., et al. (2019). Effects of climate and land-use change scenarios on fire probability during the 21st century in the Brazilian Amazon. Global Change Ecology, 00, 1–16. https://doi.org/10.1111/gcb.14709
Garcia, B. N., Libonati, R., & Nunes, A. M. B. (2018). Extreme drought events over the Amazon Basin: The perspective from the reconstruction of South American Hydroclimate. Water. https://doi.org/10.3390/w10111594
Gartner, M. H., Veblen, T. T., Sherriff, R. L., & Schoennagel, T. L. (2012). Proximity to grasslands influences fire frequency and sensitivity to climate variability in ponderosa pine forests of the Colorado Front Range. International Journal of Wildland Fire, 21, 562–571. https://doi.org/10.1071/WF10103
Giglio, L. (2015). MODIS Collection 6 Active Fire Product User’s Guide Revision A.
Hijmans, R. J., Etten, J., Sumner, M., Cheng, J., Baston, D., Bevan, A., et al. (2019). Raster: Geographic Data Analysis and Modeling. https://cran.r-project.org/web/packages/raster/index.html
Instituto Brasileiro de Geografia e Estatística—IBGE. (2006). Censo Agropecuário 2006: Brasil, Grandes Regiões e Unidades da Federação. IBGE. ISSN 0101-4234
Instituto Brasileiro de Geografia e Estatística—IBGE. (2017). Censo Agropecuário 2017: Resultados Preliminares. IBGE. 01036157
Instituto Brasileiro de Geografia e Estatística—IBGE. (2018). Banco de Informações Ambientais. https://www.ibge.gov.br/geociencias/informacoes-ambientais/geologia/23382-banco-de-informacoes-ambientais.html?=&t=sobre. Accessed 3 June 2020.
Instituto Brasileiro de Geografia e Estatística—IBGE. (2021). Cidades e Estados. Disponível em: https://www.ibge.gov.br/cidades-e-estados/mt.html. Acesso em 13 May 2022.
Instituto Nacional de Pesquisas Espaciais—INPE. (2020a). Terra Brasilis—PRODES (Desmatamento). http://terrabrasilis.dpi.inpe.br/app/dashboard/deforestation/biomes/legal_amazon/rates. Accessed 3 June 2020a
Instituto Nacional de Pesquisas Espaciais—INPE. (2020b). Queimadas. https://queimadas.dgi.inpe.br/queimadas/portal-static/estatisticas_paises/. Accessed 3 June 2020.
Justino, F., Souza, S., & Setzer, A. (2002). Relação entre focos de calor e condições meteorológicas no Brasil. Anais do XII Congresso Brasileiro de Meteorologia, 2086–2093. http://www.researchgate.net/publication/43654032_Relao_entre_focos_de_calor_e_condies_meteorolgicas_no_Brasil/file/3deec51758692f0d9f.pdf
Kanamitsu, M., Ebisuzaki,W., Woollen, J., Yang, S-K., Hnilo, J.J., Fiorino, M., et al. (2002). NCEP-DOE AMIP-II Reanalysis (R-2), Bulletin of the American Meteorological Society, 1631–1643. http://www.cpc.ncep.noaa.gov/products/wesley/reanalysis2/kana/reanl2-1.htm
Kavlak, M. O., Cabuk, S. N., & Cetin, M. (2021). Development of forest fire risk map using geographical information systems and remote sensing capabilities: Ören case. Environmental Science and Pollution Research, 28, 33265–33291. https://doi.org/10.1007/s11356-021-13080-9
Kendall, M. G. (1975). Rank Correlation Methods. Charles Griffin.
Klink, C., & Machado, R. (2005). A conservação do Cerrado brasileiro. Megadiversidade, 1.
Latorre, N. S., Aragão, L. E. O. e C., Anderson, L. O., Andere, L., Duarte, V., Arai, E., & Lima, A. (2017). Impactos de queimadas sobre diferentes tipos de cobertura da terra no leste da Amazônia Legal Brasileira. Revista Brasileira de Cartografia, 69(1), 179–192. http://www.lsie.unb.br/rbc/index.php/rbc/article/view/1488/1088
Le Page, Y., Morton, D., Hartin, C., Bond-Lamberty, B., Pereira, J. M. C., Hurtt, G., et al. (2017). Synergy between land use and climate change increases future fire risk in Amazon forests. Earth System Dynamics, 8(4), 1237–1246. https://doi.org/10.5194/esd-8-1237-2017
Lewis, S. L., Brando, P. M., Phillips, O. L., Van Der Heijden, G. M. F., & Nepstad, D. (2011). The 2010 Amazon drought. Science, 331(6017), 554. https://doi.org/10.1126/science.1200807
Lima, M., da Silva Junior, C. A., Rausch, L., Gibbs, H. K., & Johann, J. A. (2019). Demystifying sustainable soy in Brazil. Land Use Policy, 82, 349–352. https://doi.org/10.1016/j.landusepol.2018.12.016
Machado, N. G., da Silva, F. C. P., & Biudes, M. S. (2014). Efeito das condições meteorológicas sobre o risco de incêndio e o número de queimadas urbanas e focos de calor em Cuiabá-MT Brasil. Ciência e Natura, 36(3), 459–469. https://doi.org/10.5902/2179460x11892
Machado Neto, A. de P. (2016). Diagnóstico dos incêndios florestais no Parque Nacional da Chapada dos Guimarães no período de 2005 a 2014. UFPR. Retrieved from https://acervodigital.ufpr.br/handle/1884/47544
Mann, H. B. (1945). Nonparametric tests against trend. Econometrica, 13(3), 245–259. https://doi.org/10.2307/1907187
Marengo, J. A., & Souza Junior, C. (2018). Mudanças Climáticas: Impactos e cenários para a Amazônia, 33. https://sinapse.gife.org.br/download/mudancas-climaticas-impactos-e-cenarios-para-a-amazonia
Ministério da Agricultura Pecuária e Abastecimento—MAPA. (2020). Estatísticas de Comércio Exterior do Agronegócio Brasileiro, Exportação-Importação, Região/UF/Produto. http://indicadores.agricultura.gov.br/agrostat/index.htm. Accessed 3 May 2021
Marengo, J. A., Betts, R., Nobre, C. A., Chou, S. C., Tomasella, J., Sampaio, G., et al. (2011a). Riscos das mudanças climáticas no Brasil: Análise conjunta Brasil - Reino Unido sobre os Impactos das mudanças climáticas e do desmatamento na Amazônia. INPE.
Marengo, J. A., Nobre, C. A., Tomasella, J., Cardoso, M. F., & Oyama, M. D. (2008). Hydro-climatic and ecological behaviour of the drought of Amazonia in 2005. Philosophical Transactions of the Royal Society B: Biological Sciences, 363(1498), 1773–1778. https://doi.org/10.1098/rstb.2007.0015
Marengo, J. A., Tomasella, J., Alves, L. M., Soares, W. R., & Rodriguez, D. A. (2011b). The drought of 2010 in the context of historical droughts in the Amazon region. Geophysical Research Letters, 38(12), 1–5. https://doi.org/10.1029/2011GL047436
Mclauchlan, K. K., Higuera, E. P., Miessel, J., Rogers, B. M., Schweitzer, J., Shuman, J. K., et al. (2020). Fire as a fundamental ecological process: Research advances and frontiers. Journal of Ecology, 108, 2047–2069. https://doi.org/10.1111/1365-2745.13403
Munhoz, C., & Felfili, J. (2007). Reproductive phenology of an herbaceous-subshrub layer of a Savannah (Campo Sujo) in the Cerrado Biosphere Reserve I Brazil. Brazilian Journal of Biology, 67(2), 299–307. https://doi.org/10.1590/s1519-69842007000200015
Panisset, J. S., Libonati, R., Gouveia, C. M. P., Machado-Silva, F., França, D. A., França, J. R. A., & Peres, L. F. (2018). Contrasting patterns of the extreme drought episodes of 2005, 2010 and 2015 in the Amazon Basin. International Journal of Climatology, 38(2), 1096–1104. https://doi.org/10.1002/joc.5224
Pierce, D. (2013). Ncdf home page: A netcdf package for R’. http://cirrus.ucsd.edu/~pierce/ncdf/
Pohlert, T. (2020). Package ‘trend’: Non-Parametric Trend Tests and Change-Point Detection.
R Core Team (2020). R: A language and environment for statistical computing.
Ramos, A. B. R., Nascimento, E. R. P. do, & Oliveira, M. J. de. (2011). Temporada de incêndios florestais no Brasil em 2010: análise de série histórica de 2005 a 2010 e as influências das chuvas e do desmatamento na quantidade dos focos de calor. Curitiba: Anais do Simpósio Brasileiro de Sensoriamento Remoto—SBSR. http://marte.sid.inpe.br/col/dpi.inpe.br/marte/2011/06.30.13.15/doc/p1414.pdf
Ramos, H. M. (2017). O regime de precipitação da Amazônia e sua relação com fenômenos de variabilidade climática. Universidade Federal de Santa Catarina.
Ribeiro, T. M., Mendonça, B. A. F., Oliveira-Junior, J. F., & Fernandes-Filho, E. I. (2021). Environment, Development and Sustainability, 23, 1485–1498. https://doi.org/10.1007/s10668-020-00632-1
Rosan, T. M., Anderson, L. O., & Vedovato, L. (2017). Assessing the origin of hot pixels in extreme climate years in the Brazilian Amazon. Revista Brasileira de Cartografia, 69(4), 731–741. http://www.rbc.lsie.unb.br/index.php/rbc/article/view/1420/1129
Rowland, F. E., Bricker, K. J., Vanni, M. J., & González, M. J. (2015). Light and nutrients regulate energy transfer through benthic and pelagic food chains. Oikos, 124(12), 1648–1663. https://doi.org/10.1111/oik.02106
Santos, S. Q. R., Sansigolo, C. A., Braga, C. C., Neves, T. T., & Santos, A. P. P. (2017). Identificação e caracterização de secas recentes na região Amazônica: Avaliação no contexto climático atual. Revista Brasileira De Geografia Física, 10(6), 1746–1759.
Sen, P. K. (1968). Estimates of the regression coefficient based on Kendall‟s tau. Journal of the American Statistical Association, 63, 1379–1389.
Silva Junior, C. A., & Lima, M. (2018). Soy Moratorium in Mato Grosso: Deforestation undermines the agreement. Land Use Policy, 71, 540–542. https://doi.org/10.1016/j.landusepol.2017.11.011
Silva Junior, C. H. L., Almeida, C. T., Santos, J. R. N., Anderson, L. O., Aragão, L. E. O. C., & Silva, F. B. (2018). Spatiotemporal rainfall trends in the Brazilian legal Amazon between the years 1998 and 2015. Water, 10(9), 1–16. https://doi.org/10.3390/w10091220
Silva, M. A., Lima, M., Silva Junior, C. A., Costa, G. M., & Peres, C. A. (2018a). Achieving low-carbon cattle ranching in the Amazon: “Pasture sudden death” as a window of opportunity. Land Degradation and Development, 29(10), 3535–3543. https://doi.org/10.1002/ldr.3087
Silva, C. V. J., Aragão, L. E. O. C., Barlow, J., Espirito-Santo, F., Young, P. J., Anderson, L. O., et al. (2018b). Drought-induced Amazonian wildfires instigate a decadal-scale disruption of forest carbon dynamics. Philosophical Transactions of the Royal Society B: Biological Sciences, 373(2018b0043). https://doi.org/10.1098/rstb.2018b.0043
Silva, S. S., Oliveira, I., Morello, T. F., Anderson, L. O., Karlokoski, A., Brando, P. M., et al. (2021). Burning in southwestern Brazilian Amazonia, 2016–2019. Journal of Environmental Management. https://doi.org/10.1016/j.jenvman.2021.112189
Sena, E. T., Silva Dias, M. A. F., Carvalho, L. M. V., & Silva Dias, P. L. (2018). Reduced wet-season length detected by satellite retrievals of cloudiness over Brazilian Amazonia: A new methodology. Journal of Climate, 31, 9941–9964. https://doi.org/10.1175/JCLI-D-17-0702.1
Soares, R. V. (1990). Fire in the tropical biota (1st ed.). Ecological.
de Sousa, A. M. L., da Rocha, E. J. P., Vitorino, M. I., de Souza, P. J. O. P., & Botelho, M. N. (2015). Variabilidade Espaço-Temporal da Precipitação na Amazônia Durante Eventos Enos. Revista Brasileira De Geografia Física, 8(1), 13–24.
Stokes, K. E., Allchin, A. E., Bullock, J. M., & Watkinson, A. R. (2004). Population responses of Ulex shrubs to fire in a lowland heath community. Journal of Vegetation Science, 15(4), 505–514. https://doi.org/10.1111/j.1654-1103.2004.tb02289.x
Wan, Z., Hook, S., & Hulley, G. (2015). MOD11B3 MODIS/Terra Land Surface Temperature/Emissivity Monthly L3 Global 6km SIN Grid V006. NASA EOSDIS LP DAAC. https://doi.org/10.5067/MODIS/MOD11B3.006
Wickham, H. (2016). ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics. https://cran.r-project.org/web/packages/ggplot2/index.html
Xavier, A. C., King, C. W., & Scanlon, B. R. (2016). Daily gridded meteorological variables in Brazil (1980–2013). International Journal of Climatology, 36(6), 2644–2659. https://doi.org/10.1002/joc.4518
Zeng, N., Yoon, J. H., Marengo, J. A., Subramaniam, A., Nobre, C. A., Mariotti, A., & Neelin, J. D. (2008). Causes and impacts of the 2005 Amazon drought. Environmental Research Letters. https://doi.org/10.1088/1748-9326/3/1/014002
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Volpato, M., Andrade, C.F., Silva, E.L. et al. Fire foci and their spatiotemporal relations to weather variables and land uses in the state of Mato Grosso. Environ Dev Sustain 25, 12419–12438 (2023). https://doi.org/10.1007/s10668-022-02573-3
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DOI: https://doi.org/10.1007/s10668-022-02573-3