Forest fire susceptibility index for assessing the history of fire occurrences in the indigenous land of Kraholândia, Brazil
DOI:
10.34062/afs.v5i2.5841Keywords:
Cerrado. Frequency ratio. Recurrence. Remote sensingAbstract
The aim of this study was to examine the major factors influencing the occurrence of fires by analyzing the frequency ratio (FR) of areas with the greatest occurrence of managed fires and wildfire and to generate the susceptibility map of these occurrences for the Indigenous Territory of Kraholândia (Tocantins state), Brazil. A supervised classification method was apply using the Mahalanobis algorithm, and the fire scars were delimited from 2003 to 2014 based on images obtained from the Landsat-5, CBERS-2, ResourceSat-1, and Landsat-8 satellites. The higher recurrence fire class was using as a reference to assess the following variables: topography; type of land use; soil classification; and distances from human settlement, roads, and waterways. The FR of managed fire or wildfire occurrences was determined for each variable and a subsequent map for all the variables was create wiht the FR value of the sum of each pixel was denoted as the forest fire susceptibility index (FFSI). The factors showing the greatest correlation with the highest frequencies of managed fire and wildfire occurrences were vegetation types of farmland and rock field, areas used for agriculture, areas with slopes higher than 30%, altitudes above 350 m, areas in ridgelines, and proximity to roads. The FFSI map can be an effective tool in planning and controlling forest fires.
References
Adab H, Kanniah K, Solaimani K (2013) Modeling forest fire risk in the northeast of Iran using remote sensing and GIS techniques. Natural Hazards, 65(3): 1723-1743. doi: 10.1007/s11069-012-0450-8
Daldegan G, Carvalho O, Guimarães R, Gomes R, Ribeiro F, Mcmanus, C (2014) Spatial patterns of fire recurrence using remote sensing and gis in the brazilian savanna: Serra do Tombador nature reserve, Brazil. Remote Sensing, 6(10): 9873-9894. doi: 10.3390/rs6109873
Dickson B, Jenness JS, Beier P (2005) Influence of vegetation topography, and roads on cougar movement in southern California. Journal of Wildfire Management, 69(1): 246-276. doi: 10.2193/0022-541X(2005)069<0264:IOVTAR>2.0.CO;2
Empresa Brasileira de Pesquisa Agropecuária - EMBRAPA (2013) Sistema brasileiro de classificação de solos. 3ª Edição. Brasília: EMBRAPA-CPAC
Falleiro RM (2011) Resgate do manejo tradicional do cerrado com fogo para proteção das Terras Indígenas do oeste do Mato Grosso: um estudo de caso. Biodiversidade Brasileira, (2): 86-96.
Farr TG, Rosen PA, Caro E, Crippen R, Duren R, Hensley S, Kobrick M, Paller M, Rodriguez E, Roth L, Seal D, Shaffer S, Shimada J, Umland J, Werner M, Oskin M, Burbang D, Alsdorf D (2007) The shuttle radar topography mission. Reviews of Geophysics, 45(2): 1-33. doi: 10.1029/2005RG000183
Fule PZ, Laughlin DC (2007) Wildland fire effects on forest structure over an altitudinal gradient, Grand Canyon National Park. Journal of Applied Ecology, 44(1): 136-146. doi: 10.1111/j.1365-2664.2006.01254.x
Hong H, Naghibi SA, Dashtpagerdi MM, Pourghasemi HR, Chen W (2017) A comparative assessment between linear and quadratic discriminant analyses (LDA-QDA) with frequency ratio and weights-of-evidence models for forest fire susceptibility mapping in China. Arabian Journal of Geoscience, 10: 167-180. doi: 10.1007/s12517-017-2905-4
Jaiswal RK, Mukherjee S, Raju KD, Saxena R (2002) Forest fire risk zone mapping from satellite imagery and GIS. International Journal Applied Earth Observation and Geinformation, 4(1): 1-10. doi: 10.1016/S0303-2434(02)00006-5
Kehrwald NM, Whitlock C, Barbante C, Brovkin V, Daniau AL, Kaplan JO, Van Der Werf GR (2013) Fire Research: Linking Past, Present, and Future Data. Earth & Space Science News, 94(46): 421-422. doi: 10.1002/2013EO460001
Lara DX, Fiedler NC, Medeiros MB (2007) Uso do fogo em propriedades rurais do cerrado em Cavalcante, GO. Ciência Florestal, 17(1): 9-15. doi: 10.5902/198050981930
Lazzarini GMJ, Ferreira LCC, Felicíssimo MFG, Lira RG, Justino, AG, Gomes CS, Ribeiro JCN, Magalhães GRD (2012) Análise da distribuição de focos de calor no Tocantins entre 2002 e 2011. Interface, 5:24-35.
Lee S, Pradhan B (2007) Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models. Landslides. 4(1): 33-41. doi: 10.1007/s10346-006-0047-y
Lopes SF, Vale VS, Schiavini I (2009) Efeito de queimadas sobre a estrutura e composição da comunidade vegetal lenhosa do cerrado sentido restrito em Caldas Novas, GO. Revista Árvore, 33(4): 693-704. doi: 10.1590/S0100-67622009000400012.
Maillard P, Pereira DB, Souza, CG (2009) Incêndios florestais em veredas: coneitos e estudo de caso no Peruaçu. Revista Brasileira de Cartografia, 61(4): 321-330.
Medeiros MB, Fiedler NC (2004) Incêndios florestais no Parque Nacional da Serra da Canastra: desafios para a conservação da biodiversidade. Ciência Florestal, 14(2): 157-168. doi: 10.5902/198050981815
Mistry J, Berardi A, Andrade V, Krahô T, Krahô P, Leonardos O (2005) Indigenous fire management in the Cerrado of Brazil: the case of the Krahô of Tocantins. Human Ecology, 33(3): 365-386. doi: 10.1007/s10745-005-4143-8
Mohan VR, Jeyaseelan A (2010) Landslide susceptibility mapping using frequency ratio method and GIS in South Eastern part of Nilgiri District, Tamilnadu, India. International Journal of Geomatins and Geosciences, 1(4): 951-961.
Moore ID, Grayson RB, Ladson A (1991) Digital terrain modeling: a review of hydrological, geomorphological, and biological applications. Hydrological Processes, 5(1): 3-30. doi: 10.1002/hyp.3360050103
Oh HJ, Kim YS, Choi JK, Lee S (2011) GIS mapping of regional probabilistic groundwater potential in the area of Pohang City, Korea. Journal of Hydrology, 399(3-4):158–172. doi: 10.1016/j.jhydrol.2010.12.027
Pereira Júnior AC, Oliveira SLJ, Pereira JMC, Turkman MAA (2014) Modelling fire frequency in a Cerrado Savanna protected area. PLoS one, 9(7): 1-11. doi: 10.1371/journal.pone.0102380
Piromal RAS, Rivera-Lombardi RJ, Shimabukuro YE, Formaggio AR, Krug T (2008) Utilização de dados MODIS para a detecção de queimadas na Amazônia. Acta Amazonica, 38(1): 77-84. doi: 10.1590/S0044-59672008000100009
Pivello VR (2011) The use of fire in the Cerrado and Amazonian rainforests of Brazil: past and present. Fire Ecology, 7(1): 24-39. doi: 10.4996/fireecology.0701024
Pourtaghi Z, Pourghasemi H, Rossi M (2015) Forest fire susceptibility mapping in the Minudasht forests, Golestan province, Iran. Environmental Earth Sciences, 73(4): 1515-1533. doi: 10.1007/s12665-014-3502-4
Pradhan B, Dini Hairi Bin Suliman M, Arshad Bin Awang M (2007) Forest fire susceptibility and risk mapping using remote sensing and geographical information systems (GIS). Disaster Prevention and Management, 16(3): 344-352. doi: 10.1108/09653560710758297
Ribeiro L, Koproski LP, Stolle L, Lingnau C, Soares RV, Batista AC (2008) Zoneamento de riscos de incêndios florestais para a fazenda experimental do Canguiri, Pinhais (PR). Floresta. 38(3): 561-572. doi: 10.5380/rf.v38i3.12430
Richards JA (1999) Remote Sensing Digital Image Analysis. Berlin: Springer-Verlag. 240p.
Sano SM, Almeida SP (1998) Cerrado: ambiente e flora. Planaltina: EMBRAPA-CPAC. 556p.
Silvani X, Morandini F, Dupuy JL (2012) Effects of slope on fire spread observed through video images and multiple-point thermal measurements. Experimental Thermal and Fluid Science, 41: 99-111. doi: 10.1016/j.expthermflusci.2012.03.021
Sujatha ER, Rajamanickam V, Kumaravel P, Saranathan E (2013) Landslide susceptibility analysis using probabilistic likelihood ratio model a geospatial based study. Arabian Journal of Geosciences, 6(2): 429-440. doi: 10.1007/s12517-011-0356-x
Tocantins (2012) Atlas do Tocantins: Subsídios ao planejamento da gestão territorial. Palmas: SEPLAN. 80 p.
Wang S, Niu S (2016) Fuel Classes in Conifer Forests of Southwest Sichuan, China, and Their Implications for Fire Susceptibility. Forests, 7(3): 52-75. doi: 10.3390/f7030052
Wood SW, Murphy BP, Bowman DMJS (2011) Firescape ecology: how topography determines the contrasting distribution of fire and rain forest in the south-west of the Tasmanian Wilderness World Heritage Area. Journal of Biogeography, 38(9): 1807-1820. doi: 10.1111/j.1365-2699.2011.02524.x
Downloads
Published
Issue
Section
License
All copyright must be assigned to the Federal University of Mato Grosso.
