Spatial Patterns of Fire Recurrence Using Remote Sensing and GIS in the Brazilian Savanna: Serra do Tombador Nature Reserve, Brazil
The Cerrado is the second largest biome in Brazil after the Amazon and is the savanna with the highest biodiversity in the world. Serra Tombador Natural Reserve (STNR) is the largest private reserve located in Goiás State, and the fourth largest in the Cerrado biome. The present study aimed to map t...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2014-10-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | http://www.mdpi.com/2072-4292/6/10/9873 |
_version_ | 1828883527497678848 |
---|---|
author | Gabriel Antunes Daldegan Osmar Abílio de Carvalho Renato Fontes Guimarães Roberto Arnaldo Trancoso Gomes Fernanda de Figueiredo Ribeiro Concepta McManus |
author_facet | Gabriel Antunes Daldegan Osmar Abílio de Carvalho Renato Fontes Guimarães Roberto Arnaldo Trancoso Gomes Fernanda de Figueiredo Ribeiro Concepta McManus |
author_sort | Gabriel Antunes Daldegan |
collection | DOAJ |
description | The Cerrado is the second largest biome in Brazil after the Amazon and is the savanna with the highest biodiversity in the world. Serra Tombador Natural Reserve (STNR) is the largest private reserve located in Goiás State, and the fourth largest in the Cerrado biome. The present study aimed to map the burnt areas and to describe the spatial patterns of fire recurrence and its interactions with the classes of land-cover that occurred in STNR and its surroundings in the period between 2001 and 2010. Several Landsat TM images acquired around the months of July, August and September, coinciding with the region’s dry season when fire events intensify, were employed to monitor burnt areas. Fire scars were mapped using the supervised Mahalanobis-distance classifier and further refined using expert visual interpretation. Burnt area patterns were described by spatial landscape metrics. The effects of fire on landscape structure were obtained by comparing results among different land-cover classes, and results summarized in terms of fire history and frequencies. During the years covered by the study, 69% of the areas analyzed had fire events. The year with the largest burnt area was 2004, followed by 2001, 2007 and 2010. Thus, the largest fire events occurred in a 3-year cycle, which is compatible with other areas of the Brazilian savanna. The regions with higher annual probabilities of fire recurrence occur in the buffer zone around the park. The year 2004 also had the highest number of burnt area patches (831). In contrast, the burnt area in 2007 showed the most extensive fires with low number of patches (82). The physiognomies that suffered most fires were the native savanna formations. The study also identified areas where fires are frequently recurrent, highlighting priority areas requiring special attention. Thus, the methodology adopted in this study assists in monitoring and recovery of areas affected by fire over time. |
first_indexed | 2024-12-13T10:50:53Z |
format | Article |
id | doaj.art-054b290322da4ccb83c7c16ee9ea7c0a |
institution | Directory Open Access Journal |
issn | 2072-4292 |
language | English |
last_indexed | 2024-12-13T10:50:53Z |
publishDate | 2014-10-01 |
publisher | MDPI AG |
record_format | Article |
series | Remote Sensing |
spelling | doaj.art-054b290322da4ccb83c7c16ee9ea7c0a2022-12-21T23:49:51ZengMDPI AGRemote Sensing2072-42922014-10-016109873989410.3390/rs6109873rs6109873Spatial Patterns of Fire Recurrence Using Remote Sensing and GIS in the Brazilian Savanna: Serra do Tombador Nature Reserve, BrazilGabriel Antunes Daldegan0Osmar Abílio de Carvalho1Renato Fontes Guimarães2Roberto Arnaldo Trancoso Gomes3Fernanda de Figueiredo Ribeiro4Concepta McManus5Universidade de Brasília (UnB)/Departamento de Geografia Campus Universitário Darcy Ribeiro, Asa Norte, Brasília DF 70910-900, BrazilUniversidade de Brasília (UnB)/Departamento de Geografia Campus Universitário Darcy Ribeiro, Asa Norte, Brasília DF 70910-900, BrazilUniversidade de Brasília (UnB)/Departamento de Geografia Campus Universitário Darcy Ribeiro, Asa Norte, Brasília DF 70910-900, BrazilUniversidade de Brasília (UnB)/Departamento de Geografia Campus Universitário Darcy Ribeiro, Asa Norte, Brasília DF 70910-900, BrazilUniversidade de Brasília (UnB)/Departamento de Geografia Campus Universitário Darcy Ribeiro, Asa Norte, Brasília DF 70910-900, BrazilUniversidade de Brasília (UnB)/Faculdade de Agronomia e Medicina Veterinaria, Campus Universitário Darcy Ribeiro, Asa Norte, Brasília DF 70910-900, BrazilThe Cerrado is the second largest biome in Brazil after the Amazon and is the savanna with the highest biodiversity in the world. Serra Tombador Natural Reserve (STNR) is the largest private reserve located in Goiás State, and the fourth largest in the Cerrado biome. The present study aimed to map the burnt areas and to describe the spatial patterns of fire recurrence and its interactions with the classes of land-cover that occurred in STNR and its surroundings in the period between 2001 and 2010. Several Landsat TM images acquired around the months of July, August and September, coinciding with the region’s dry season when fire events intensify, were employed to monitor burnt areas. Fire scars were mapped using the supervised Mahalanobis-distance classifier and further refined using expert visual interpretation. Burnt area patterns were described by spatial landscape metrics. The effects of fire on landscape structure were obtained by comparing results among different land-cover classes, and results summarized in terms of fire history and frequencies. During the years covered by the study, 69% of the areas analyzed had fire events. The year with the largest burnt area was 2004, followed by 2001, 2007 and 2010. Thus, the largest fire events occurred in a 3-year cycle, which is compatible with other areas of the Brazilian savanna. The regions with higher annual probabilities of fire recurrence occur in the buffer zone around the park. The year 2004 also had the highest number of burnt area patches (831). In contrast, the burnt area in 2007 showed the most extensive fires with low number of patches (82). The physiognomies that suffered most fires were the native savanna formations. The study also identified areas where fires are frequently recurrent, highlighting priority areas requiring special attention. Thus, the methodology adopted in this study assists in monitoring and recovery of areas affected by fire over time.http://www.mdpi.com/2072-4292/6/10/9873fire recurrencelandscape metricscross-tabulationGISremote sensingburnt area mappingLandsat |
spellingShingle | Gabriel Antunes Daldegan Osmar Abílio de Carvalho Renato Fontes Guimarães Roberto Arnaldo Trancoso Gomes Fernanda de Figueiredo Ribeiro Concepta McManus Spatial Patterns of Fire Recurrence Using Remote Sensing and GIS in the Brazilian Savanna: Serra do Tombador Nature Reserve, Brazil Remote Sensing fire recurrence landscape metrics cross-tabulation GIS remote sensing burnt area mapping Landsat |
title | Spatial Patterns of Fire Recurrence Using Remote Sensing and GIS in the Brazilian Savanna: Serra do Tombador Nature Reserve, Brazil |
title_full | Spatial Patterns of Fire Recurrence Using Remote Sensing and GIS in the Brazilian Savanna: Serra do Tombador Nature Reserve, Brazil |
title_fullStr | Spatial Patterns of Fire Recurrence Using Remote Sensing and GIS in the Brazilian Savanna: Serra do Tombador Nature Reserve, Brazil |
title_full_unstemmed | Spatial Patterns of Fire Recurrence Using Remote Sensing and GIS in the Brazilian Savanna: Serra do Tombador Nature Reserve, Brazil |
title_short | Spatial Patterns of Fire Recurrence Using Remote Sensing and GIS in the Brazilian Savanna: Serra do Tombador Nature Reserve, Brazil |
title_sort | spatial patterns of fire recurrence using remote sensing and gis in the brazilian savanna serra do tombador nature reserve brazil |
topic | fire recurrence landscape metrics cross-tabulation GIS remote sensing burnt area mapping Landsat |
url | http://www.mdpi.com/2072-4292/6/10/9873 |
work_keys_str_mv | AT gabrielantunesdaldegan spatialpatternsoffirerecurrenceusingremotesensingandgisinthebraziliansavannaserradotombadornaturereservebrazil AT osmarabiliodecarvalho spatialpatternsoffirerecurrenceusingremotesensingandgisinthebraziliansavannaserradotombadornaturereservebrazil AT renatofontesguimaraes spatialpatternsoffirerecurrenceusingremotesensingandgisinthebraziliansavannaserradotombadornaturereservebrazil AT robertoarnaldotrancosogomes spatialpatternsoffirerecurrenceusingremotesensingandgisinthebraziliansavannaserradotombadornaturereservebrazil AT fernandadefigueiredoribeiro spatialpatternsoffirerecurrenceusingremotesensingandgisinthebraziliansavannaserradotombadornaturereservebrazil AT conceptamcmanus spatialpatternsoffirerecurrenceusingremotesensingandgisinthebraziliansavannaserradotombadornaturereservebrazil |