Forest fire risk indicator (FFRI) based on geoprocessing and multicriteria analysis
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/s11069-022-05473-x http://hdl.handle.net/11449/240481 |
Resumo: | Forest fires negatively impact ecosystem services, affecting human welfare. The present study proposes a Forest Fire Risk Indicator (FFRI) based on the Fire and Burn Risk Indicator (FBRI). The instrument was applied to the Sorocabuçu River Basin in São Paulo State, Brazil. The FBRI was initially obtained by using the factors that most contribute to the start or spread of fires according to the literature. These factors were later grouped into anthropogenic, topographic, land cover/land use, and climatic variables. The factors of each variable were classified into intervals to which a fire risk value was assigned ranging from 0 (null risk) to 1 (very high risk). By applying the Analytical Hierarchy Process, we obtained the final FBRI, after which the FFRI was created. The final FBRI showed predominantly high risks (64.78%) throughout the basin, as well as the FFRI (82.56%). The present study evidences that most forest fragments need measures for ecosystem protection. This can be done in different ways such as monitoring through fire towers and conduction of environmental education activities. |
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Repositório Institucional da UNESP |
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Forest fire risk indicator (FFRI) based on geoprocessing and multicriteria analysisFire outbreaksFire susceptibilityForest ecosystemsForest lossForest fires negatively impact ecosystem services, affecting human welfare. The present study proposes a Forest Fire Risk Indicator (FFRI) based on the Fire and Burn Risk Indicator (FBRI). The instrument was applied to the Sorocabuçu River Basin in São Paulo State, Brazil. The FBRI was initially obtained by using the factors that most contribute to the start or spread of fires according to the literature. These factors were later grouped into anthropogenic, topographic, land cover/land use, and climatic variables. The factors of each variable were classified into intervals to which a fire risk value was assigned ranging from 0 (null risk) to 1 (very high risk). By applying the Analytical Hierarchy Process, we obtained the final FBRI, after which the FFRI was created. The final FBRI showed predominantly high risks (64.78%) throughout the basin, as well as the FFRI (82.56%). The present study evidences that most forest fragments need measures for ecosystem protection. This can be done in different ways such as monitoring through fire towers and conduction of environmental education activities.Institute of Science and Technology São Paulo State University (Unesp), SPFederal University Southern of Bahia Universitary Campus Sosigenes Costa, BAFacens University, SPInstitute of Science and Technology São Paulo State University (Unesp), SPUniversidade Estadual Paulista (UNESP)Universitary Campus Sosigenes CostaFacens UniversitySousa, Jocy Ana Paixão de [UNESP]Lopes, Elfany Reis do NascimentoDuarte, Miqueias Lima [UNESP]Ewbank, HenriqueLourenço, Roberto Wagner [UNESP]2023-03-01T20:18:59Z2023-03-01T20:18:59Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1007/s11069-022-05473-xNatural Hazards.1573-08400921-030Xhttp://hdl.handle.net/11449/24048110.1007/s11069-022-05473-x2-s2.0-85134364465Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengNatural Hazardsinfo:eu-repo/semantics/openAccess2023-03-01T20:18:59Zoai:repositorio.unesp.br:11449/240481Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:55:59.016156Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Forest fire risk indicator (FFRI) based on geoprocessing and multicriteria analysis |
title |
Forest fire risk indicator (FFRI) based on geoprocessing and multicriteria analysis |
spellingShingle |
Forest fire risk indicator (FFRI) based on geoprocessing and multicriteria analysis Sousa, Jocy Ana Paixão de [UNESP] Fire outbreaks Fire susceptibility Forest ecosystems Forest loss |
title_short |
Forest fire risk indicator (FFRI) based on geoprocessing and multicriteria analysis |
title_full |
Forest fire risk indicator (FFRI) based on geoprocessing and multicriteria analysis |
title_fullStr |
Forest fire risk indicator (FFRI) based on geoprocessing and multicriteria analysis |
title_full_unstemmed |
Forest fire risk indicator (FFRI) based on geoprocessing and multicriteria analysis |
title_sort |
Forest fire risk indicator (FFRI) based on geoprocessing and multicriteria analysis |
author |
Sousa, Jocy Ana Paixão de [UNESP] |
author_facet |
Sousa, Jocy Ana Paixão de [UNESP] Lopes, Elfany Reis do Nascimento Duarte, Miqueias Lima [UNESP] Ewbank, Henrique Lourenço, Roberto Wagner [UNESP] |
author_role |
author |
author2 |
Lopes, Elfany Reis do Nascimento Duarte, Miqueias Lima [UNESP] Ewbank, Henrique Lourenço, Roberto Wagner [UNESP] |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Universitary Campus Sosigenes Costa Facens University |
dc.contributor.author.fl_str_mv |
Sousa, Jocy Ana Paixão de [UNESP] Lopes, Elfany Reis do Nascimento Duarte, Miqueias Lima [UNESP] Ewbank, Henrique Lourenço, Roberto Wagner [UNESP] |
dc.subject.por.fl_str_mv |
Fire outbreaks Fire susceptibility Forest ecosystems Forest loss |
topic |
Fire outbreaks Fire susceptibility Forest ecosystems Forest loss |
description |
Forest fires negatively impact ecosystem services, affecting human welfare. The present study proposes a Forest Fire Risk Indicator (FFRI) based on the Fire and Burn Risk Indicator (FBRI). The instrument was applied to the Sorocabuçu River Basin in São Paulo State, Brazil. The FBRI was initially obtained by using the factors that most contribute to the start or spread of fires according to the literature. These factors were later grouped into anthropogenic, topographic, land cover/land use, and climatic variables. The factors of each variable were classified into intervals to which a fire risk value was assigned ranging from 0 (null risk) to 1 (very high risk). By applying the Analytical Hierarchy Process, we obtained the final FBRI, after which the FFRI was created. The final FBRI showed predominantly high risks (64.78%) throughout the basin, as well as the FFRI (82.56%). The present study evidences that most forest fragments need measures for ecosystem protection. This can be done in different ways such as monitoring through fire towers and conduction of environmental education activities. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 2023-03-01T20:18:59Z 2023-03-01T20:18:59Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/s11069-022-05473-x Natural Hazards. 1573-0840 0921-030X http://hdl.handle.net/11449/240481 10.1007/s11069-022-05473-x 2-s2.0-85134364465 |
url |
http://dx.doi.org/10.1007/s11069-022-05473-x http://hdl.handle.net/11449/240481 |
identifier_str_mv |
Natural Hazards. 1573-0840 0921-030X 10.1007/s11069-022-05473-x 2-s2.0-85134364465 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Natural Hazards |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129474584117248 |