Multi-decadal trends and variability in burned area from the fifth version of the Global Fire Emissions Database (GFED5)

Long-term records of burned area are needed to understand wildfire dynamics, assess fire impacts on ecosystems and air quality, and improve fire forecasts. Here, we fuse multiple streams of remote sensing data to create a 24 year (1997–2020) dataset of monthly burned area as a component of the fifth...

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Tipo de recurso:
Fecha de publicación:
2023
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/42149
Acceso en línea:
https://repository.urosario.edu.co/handle/10336/42149
Palabra clave:
Multi decadal
trends
variability
burned
area
Global
Fire
Emissions
Database
Rights
License
Attribution 4.0 International
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spelling 4da8d77a-778c-456d-bfac-357c85bdd351cdd58cbf-2348-4944-86a0-f5b7379085d54007d0eea37-10a3-45bc-8e96-83a9be1b57e46af2f5fc-a1b3-4c1b-8d7b-a7c3ba29f2a04009dc00761-bb91-42ad-a765-e0e607574fdf4007ea90de0-90a3-45bd-9e84-26a9088a97c640033a32f1a-41f9-46b8-ab88-d6ed4104e1da33b60d1e-70b2-43fa-9769-bf38dffc99a70cd68071-bb26-4ef3-a71f-8a1d797d02212024-01-31T18:31:06Z2024-01-31T18:31:06Z2023-11-282023Long-term records of burned area are needed to understand wildfire dynamics, assess fire impacts on ecosystems and air quality, and improve fire forecasts. Here, we fuse multiple streams of remote sensing data to create a 24 year (1997–2020) dataset of monthly burned area as a component of the fifth version of the Global Fire Emissions Database (GFED5). During 2001–2020, we use the Moderate Resolution Imaging Spectroradiometer (MODIS) MCD64A1 burned area product and adjust for the errors of commission and omission. Adjustment factors are estimated based on region, land cover, and tree cover fraction, using spatiotemporally aligned burned area from Landsat or Sentinel-2. Burned area in croplands, peatlands, and deforestation regions is estimated from MODIS active fire detections. Along-Track Scanning Radiometer (ATSR) and Visible and Infrared Scanner (VIRS) active fire data are used to extend the time series back to 1997. The global annual burned area during 2001–2020 is estimated to be 774 ± 63 Mha yr?1 or 5.9 ± 0.5 % of ice-free land. Burned area declined by 1.21 ± 0.66 % yr?1 , a cumulative decrease of 24.2 ± 13.2 % over 20 years. The global reduction is primarily driven by a decrease in fires in savannas, grasslands, and croplands. Forest, peat, and deforestation fires did not exhibit significant long-term trends. The GFED5 global burned area is 93 % higher than MCD64A1, 61 % higher than GFED4s, and in closer agreement with products from higher-resolution satellite sensors. These data may reduce discrepancies between fire emission estimates from activity-based and atmospheric-based approaches, and improve our understanding of global fire impacts on the carbon cycle and climate system. The GFED5 global burned area product is freely accessible at https://doi.org/10.5281/zenodo.7668423 (Chen et al., 2023).application/pdf10.5194/essd-15-5227-20231866-3508https://repository.urosario.edu.co/handle/10336/42149engUniversidad del Rosariohttps://essd.copernicus.org/articles/15/5227/2023/essd-15-5227-2023.pdfAttribution 4.0 InternationalAbierto (Texto Completo)https://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2Earth System Science Datainstname:Universidad del Rosarioreponame:Repositorio Institucional EdocURMulti decadaltrendsvariabilityburnedareaGlobalFireEmissionsDatabaseMulti-decadal trends and variability in burned area from the fifth version of the Global Fire Emissions Database (GFED5)articleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Chen, YangVan Wees, DaveVan der Werf, Guido R.Morton, Douglas C.Randerson, James T.ORIGINALMulti_decadal_trends_and_variability.pdfapplication/pdf12371399https://repository.urosario.edu.co/bitstreams/f9d8ca31-fb30-4afd-8e85-82871f44c834/download425742ed81b51a4bc0b1f5e2ecf43768MD51TEXTMulti_decadal_trends_and_variability.pdf.txtMulti_decadal_trends_and_variability.pdf.txtExtracted texttext/plain101105https://repository.urosario.edu.co/bitstreams/4dada671-cb96-41e6-84cc-7d2cd81f7018/download21b9db1dbbb3a83981e822a3d3695229MD52THUMBNAILMulti_decadal_trends_and_variability.pdf.jpgMulti_decadal_trends_and_variability.pdf.jpgGenerated Thumbnailimage/jpeg4036https://repository.urosario.edu.co/bitstreams/1afcbf87-6e56-443f-930a-c589b902e246/downloadbf67e864711b5607d126831ede3f5345MD5310336/42149oai:repository.urosario.edu.co:10336/421492024-02-16 07:04:20.916https://creativecommons.org/licenses/by/4.0/Attribution 4.0 Internationalhttps://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv Multi-decadal trends and variability in burned area from the fifth version of the Global Fire Emissions Database (GFED5)
title Multi-decadal trends and variability in burned area from the fifth version of the Global Fire Emissions Database (GFED5)
spellingShingle Multi-decadal trends and variability in burned area from the fifth version of the Global Fire Emissions Database (GFED5)

Multi decadal
trends
variability
burned
area
Global
Fire
Emissions
Database
title_short Multi-decadal trends and variability in burned area from the fifth version of the Global Fire Emissions Database (GFED5)
title_full Multi-decadal trends and variability in burned area from the fifth version of the Global Fire Emissions Database (GFED5)
title_fullStr Multi-decadal trends and variability in burned area from the fifth version of the Global Fire Emissions Database (GFED5)
title_full_unstemmed Multi-decadal trends and variability in burned area from the fifth version of the Global Fire Emissions Database (GFED5)
title_sort Multi-decadal trends and variability in burned area from the fifth version of the Global Fire Emissions Database (GFED5)
dc.creator.spa.fl_str_mv



author
author_facet
author_role author
dc.subject.spa.fl_str_mv Multi decadal
trends
variability
burned
area
Global
Fire
Emissions
Database
topic Multi decadal
trends
variability
burned
area
Global
Fire
Emissions
Database
description Long-term records of burned area are needed to understand wildfire dynamics, assess fire impacts on ecosystems and air quality, and improve fire forecasts. Here, we fuse multiple streams of remote sensing data to create a 24 year (1997–2020) dataset of monthly burned area as a component of the fifth version of the Global Fire Emissions Database (GFED5). During 2001–2020, we use the Moderate Resolution Imaging Spectroradiometer (MODIS) MCD64A1 burned area product and adjust for the errors of commission and omission. Adjustment factors are estimated based on region, land cover, and tree cover fraction, using spatiotemporally aligned burned area from Landsat or Sentinel-2. Burned area in croplands, peatlands, and deforestation regions is estimated from MODIS active fire detections. Along-Track Scanning Radiometer (ATSR) and Visible and Infrared Scanner (VIRS) active fire data are used to extend the time series back to 1997. The global annual burned area during 2001–2020 is estimated to be 774 ± 63 Mha yr?1 or 5.9 ± 0.5 % of ice-free land. Burned area declined by 1.21 ± 0.66 % yr?1 , a cumulative decrease of 24.2 ± 13.2 % over 20 years. The global reduction is primarily driven by a decrease in fires in savannas, grasslands, and croplands. Forest, peat, and deforestation fires did not exhibit significant long-term trends. The GFED5 global burned area is 93 % higher than MCD64A1, 61 % higher than GFED4s, and in closer agreement with products from higher-resolution satellite sensors. These data may reduce discrepancies between fire emission estimates from activity-based and atmospheric-based approaches, and improve our understanding of global fire impacts on the carbon cycle and climate system. The GFED5 global burned area product is freely accessible at https://doi.org/10.5281/zenodo.7668423 (Chen et al., 2023).
publishDate 2023
dc.date.created.spa.fl_str_mv 2023-11-28
dc.date.issued.spa.fl_str_mv 2023
dc.date.accessioned.none.fl_str_mv 2024-01-31T18:31:06Z
dc.date.available.none.fl_str_mv 2024-01-31T18:31:06Z
dc.type.spa.fl_str_mv article
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dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.spa.fl_str_mv 10.5194/essd-15-5227-2023
dc.identifier.issn.spa.fl_str_mv 1866-3508
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/42149
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url https://repository.urosario.edu.co/handle/10336/42149
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.uri.spa.fl_str_mv https://essd.copernicus.org/articles/15/5227/2023/essd-15-5227-2023.pdf
dc.rights.spa.fl_str_mv Attribution 4.0 International
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.acceso.spa.fl_str_mv Abierto (Texto Completo)
dc.rights.uri.spa.fl_str_mv https://creativecommons.org/licenses/by/4.0/
rights_invalid_str_mv Attribution 4.0 International
Abierto (Texto Completo)
https://creativecommons.org/licenses/by/4.0/
http://purl.org/coar/access_right/c_abf2
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dc.publisher.spa.fl_str_mv Universidad del Rosario
dc.source.spa.fl_str_mv Earth System Science Data
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