Fire Season and fuel Load Predict Fire Behavior in Open Savannas in Northern Cerrado

Bibliographic Details
Main Author: dos Santos, Ana Carla
Publication Date: 2019
Other Authors: da Rocha Montenegro, Samuel, Belloni Schmidt, Isabel
Format: Article
Language: eng
Source: Biodiversidade Brasileira
Download full: https://revistaeletronica.icmbio.gov.br/index.php/BioBR/article/view/1233
Summary: Fire is one of the main factors determining the structure of mesic savannas like the Brazilian Cerrado. Its plant species have evolved with fire for millions of years, but intense human use in the past century has been threatening biodiversity. Until recently, the governmental strategy to cope with it has been fire exclusion, which leads to grassy fuel loading and intensification of late-dry season wildfires. A fire management program was established since 2014 in some Protected Areas (PA) to try to solve the problem, including a series of practices such as late-wet and early-dry season prescribed burns. However, the behavior of these fires had not been characterized prior to this study, so our aim was to do so to inform PA staff decision making. We set up seven 50 x 100 m plots for each of the burning treatments: biennial early-dry season management fires (MF) and late-dry season fires (LF). Fires were lit in 2015 and 2017 in the same plots. For each burn, we calculated fire intensity, heat released, burn efficiency and flame height (only for 2017 fires). We fit linear models for each of these variables, considering fire season, pre-fire biomass, air humidity, wind speed and percentage of dicots in the fine fuel (only for 2017 fires) as explanatory variables (p ≤ 0.05). We compared AICc values to select the fittest models for each parameter. Considering all fires, fire intensity and heat released were best explained by pre-fire biomass and fire season, whilst wind speed and fire season best explained burn efficiency. As for 2017 fires, fire intensity and flame height were best explained by fire season alone, while heat released and burn efficiency were best predicted by fire season, pre-fire biomass and dicot percentage. LF were more intense, consumed more fuel and released more heat than MF. This indicates that season, time since last fire and local conditions that facilitate fuel loading might all be crucial in determining fire behavior. Therefore, frequent (< 4 yrs.) prescribed burns in the early-dry season should be used to prevent the occurrence of intense wildfires in areas with quick fuel build-up.
id ICMBIO-1_3a8994c33c7014b5c9ee0728ffecae75
oai_identifier_str oai:ojs.revistaeletronica.icmbio.gov.br:article/1233
network_acronym_str ICMBIO-1
network_name_str Biodiversidade Brasileira
repository_id_str
spelling Fire Season and fuel Load Predict Fire Behavior in Open Savannas in Northern CerradoFire season and fuel load predict fire behavior in open savannas in northern cerradoFire regimefire managementprescribed burnsintensitywildfiresFire regimewildfire managementprescribed burnsintensitywildfiresFire is one of the main factors determining the structure of mesic savannas like the Brazilian Cerrado. Its plant species have evolved with fire for millions of years, but intense human use in the past century has been threatening biodiversity. Until recently, the governmental strategy to cope with it has been fire exclusion, which leads to grassy fuel loading and intensification of late-dry season wildfires. A fire management program was established since 2014 in some Protected Areas (PA) to try to solve the problem, including a series of practices such as late-wet and early-dry season prescribed burns. However, the behavior of these fires had not been characterized prior to this study, so our aim was to do so to inform PA staff decision making. We set up seven 50 x 100 m plots for each of the burning treatments: biennial early-dry season management fires (MF) and late-dry season fires (LF). Fires were lit in 2015 and 2017 in the same plots. For each burn, we calculated fire intensity, heat released, burn efficiency and flame height (only for 2017 fires). We fit linear models for each of these variables, considering fire season, pre-fire biomass, air humidity, wind speed and percentage of dicots in the fine fuel (only for 2017 fires) as explanatory variables (p ≤ 0.05). We compared AICc values to select the fittest models for each parameter. Considering all fires, fire intensity and heat released were best explained by pre-fire biomass and fire season, whilst wind speed and fire season best explained burn efficiency. As for 2017 fires, fire intensity and flame height were best explained by fire season alone, while heat released and burn efficiency were best predicted by fire season, pre-fire biomass and dicot percentage. LF were more intense, consumed more fuel and released more heat than MF. This indicates that season, time since last fire and local conditions that facilitate fuel loading might all be crucial in determining fire behavior. Therefore, frequent (< 4 yrs.) prescribed burns in the early-dry season should be used to prevent the occurrence of intense wildfires in areas with quick fuel build-up.Fire is one of the main factors determining the structure of mesic savannas like the Brazilian Cerrado. Its plant species have evolved with fire for millions of years, but intense human use in the past century has been threatening biodiversity. Until recently, the governmental strategy to cope with it has been fire exclusion, which leads to grassy fuel loading and intensification of late-dry season wildfires. A fire management program was established since 2014 in some Protected Areas (PA) to try to solve the problem, including a series of practices such as late-wet and early-dry season prescribed burns. However, the behavior of these fires had not been characterized prior to this study, so our aim was to do so to inform PA staff decision making. We set up seven 50 x 100 m plots for each of the burning treatments: biennial early-dry season management fires (MF) and late-dry season fires (LF). Fires were lit in 2015 and 2017 in the same plots. For each burn, we calculated fire intensity, heat released, burn efficiency and flame height (only for 2017 fires). We fit linear models for each of these variables, considering fire season, pre-fire biomass, air humidity, wind speed and percentage of dicots in the fine fuel (only for 2017 fires) as explanatory variables (p ≤ 0.05). We compared AICc values to select the fittest models for each parameter. Considering all fires, fire intensity and heat released were best explained by pre-fire biomass and fire season, whilst wind speed and fire season best explained burn efficiency. As for 2017 fires, fire intensity and flame height were best explained by fire season alone, while heat released and burn efficiency were best predicted by fire season, pre-fire biomass and dicot percentage. LF were more intense, consumed more fuel and released more heat than MF. This indicates that season, time since last fire and local conditions that facilitate fuel loading might all be crucial in determining fire behavior. Therefore, frequent (< 4 yrs.) prescribed burns in the early-dry season should be used to prevent the occurrence of intense wildfires in areas with quick fuel build-up.Instituto Chico Mendes de Conservação da Biodiversidade (ICMBio)2019-05-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistaeletronica.icmbio.gov.br/index.php/BioBR/article/view/123310.37002/biodiversidadebrasileira.v9i1.1233Biodiversidade Brasileira ; Vol. 9 No. 1 (2019): Wildfire Conference: Resumos; 91Biodiversidade Brasileira ; Vol. 9 Núm. 1 (2019): Wildfire Conference: Resumos; 91Biodiversidade Brasileira ; v. 9 n. 1 (2019): Wildfire Conference: Resumos; 912236-288610.37002/biodiversidadebrasileira.v9i1reponame:Biodiversidade Brasileirainstname:Instituto Chico Mendes de Conservação da Biodiversidade (ICMBIO)instacron:ICMBIOenghttps://revistaeletronica.icmbio.gov.br/index.php/BioBR/article/view/1233/737Copyright (c) 2019 Os autores mantêm os direitos autorais de seus artigos sem restrições, concedendo ao editor direitos de ção não exclusivos.https://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessdos Santos, Ana Carlada Rocha Montenegro, SamuelBelloni Schmidt, Isabel2024-06-25T15:52:08Zoai:ojs.revistaeletronica.icmbio.gov.br:article/1233Revistahttps://revistaeletronica.icmbio.gov.br/BioBRPUBhttps://revistaeletronica.icmbio.gov.br/BioBR/oaifernanda.oliveto@icmbio.gov.br || katia.ribeiro@icmbio.gov.br2236-28862236-2886opendoar:2024-06-25T15:52:08Biodiversidade Brasileira - Instituto Chico Mendes de Conservação da Biodiversidade (ICMBIO)false
dc.title.none.fl_str_mv Fire Season and fuel Load Predict Fire Behavior in Open Savannas in Northern Cerrado
Fire season and fuel load predict fire behavior in open savannas in northern cerrado
title Fire Season and fuel Load Predict Fire Behavior in Open Savannas in Northern Cerrado
spellingShingle Fire Season and fuel Load Predict Fire Behavior in Open Savannas in Northern Cerrado
dos Santos, Ana Carla
Fire regime
fire management
prescribed burns
intensity
wildfires
Fire regime
wildfire management
prescribed burns
intensity
wildfires
title_short Fire Season and fuel Load Predict Fire Behavior in Open Savannas in Northern Cerrado
title_full Fire Season and fuel Load Predict Fire Behavior in Open Savannas in Northern Cerrado
title_fullStr Fire Season and fuel Load Predict Fire Behavior in Open Savannas in Northern Cerrado
title_full_unstemmed Fire Season and fuel Load Predict Fire Behavior in Open Savannas in Northern Cerrado
title_sort Fire Season and fuel Load Predict Fire Behavior in Open Savannas in Northern Cerrado
author dos Santos, Ana Carla
author_facet dos Santos, Ana Carla
da Rocha Montenegro, Samuel
Belloni Schmidt, Isabel
author_role author
author2 da Rocha Montenegro, Samuel
Belloni Schmidt, Isabel
author2_role author
author
dc.contributor.author.fl_str_mv dos Santos, Ana Carla
da Rocha Montenegro, Samuel
Belloni Schmidt, Isabel
dc.subject.por.fl_str_mv Fire regime
fire management
prescribed burns
intensity
wildfires
Fire regime
wildfire management
prescribed burns
intensity
wildfires
topic Fire regime
fire management
prescribed burns
intensity
wildfires
Fire regime
wildfire management
prescribed burns
intensity
wildfires
description Fire is one of the main factors determining the structure of mesic savannas like the Brazilian Cerrado. Its plant species have evolved with fire for millions of years, but intense human use in the past century has been threatening biodiversity. Until recently, the governmental strategy to cope with it has been fire exclusion, which leads to grassy fuel loading and intensification of late-dry season wildfires. A fire management program was established since 2014 in some Protected Areas (PA) to try to solve the problem, including a series of practices such as late-wet and early-dry season prescribed burns. However, the behavior of these fires had not been characterized prior to this study, so our aim was to do so to inform PA staff decision making. We set up seven 50 x 100 m plots for each of the burning treatments: biennial early-dry season management fires (MF) and late-dry season fires (LF). Fires were lit in 2015 and 2017 in the same plots. For each burn, we calculated fire intensity, heat released, burn efficiency and flame height (only for 2017 fires). We fit linear models for each of these variables, considering fire season, pre-fire biomass, air humidity, wind speed and percentage of dicots in the fine fuel (only for 2017 fires) as explanatory variables (p ≤ 0.05). We compared AICc values to select the fittest models for each parameter. Considering all fires, fire intensity and heat released were best explained by pre-fire biomass and fire season, whilst wind speed and fire season best explained burn efficiency. As for 2017 fires, fire intensity and flame height were best explained by fire season alone, while heat released and burn efficiency were best predicted by fire season, pre-fire biomass and dicot percentage. LF were more intense, consumed more fuel and released more heat than MF. This indicates that season, time since last fire and local conditions that facilitate fuel loading might all be crucial in determining fire behavior. Therefore, frequent (< 4 yrs.) prescribed burns in the early-dry season should be used to prevent the occurrence of intense wildfires in areas with quick fuel build-up.
publishDate 2019
dc.date.none.fl_str_mv 2019-05-15
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistaeletronica.icmbio.gov.br/index.php/BioBR/article/view/1233
10.37002/biodiversidadebrasileira.v9i1.1233
url https://revistaeletronica.icmbio.gov.br/index.php/BioBR/article/view/1233
identifier_str_mv 10.37002/biodiversidadebrasileira.v9i1.1233
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistaeletronica.icmbio.gov.br/index.php/BioBR/article/view/1233/737
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Instituto Chico Mendes de Conservação da Biodiversidade (ICMBio)
publisher.none.fl_str_mv Instituto Chico Mendes de Conservação da Biodiversidade (ICMBio)
dc.source.none.fl_str_mv Biodiversidade Brasileira ; Vol. 9 No. 1 (2019): Wildfire Conference: Resumos; 91
Biodiversidade Brasileira ; Vol. 9 Núm. 1 (2019): Wildfire Conference: Resumos; 91
Biodiversidade Brasileira ; v. 9 n. 1 (2019): Wildfire Conference: Resumos; 91
2236-2886
10.37002/biodiversidadebrasileira.v9i1
reponame:Biodiversidade Brasileira
instname:Instituto Chico Mendes de Conservação da Biodiversidade (ICMBIO)
instacron:ICMBIO
instname_str Instituto Chico Mendes de Conservação da Biodiversidade (ICMBIO)
instacron_str ICMBIO
institution ICMBIO
reponame_str Biodiversidade Brasileira
collection Biodiversidade Brasileira
repository.name.fl_str_mv Biodiversidade Brasileira - Instituto Chico Mendes de Conservação da Biodiversidade (ICMBIO)
repository.mail.fl_str_mv fernanda.oliveto@icmbio.gov.br || katia.ribeiro@icmbio.gov.br
_version_ 1832009491379388416