{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T18:00:01Z","timestamp":1775584801389,"version":"3.50.1"},"reference-count":61,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2023,7,4]],"date-time":"2023-07-04T00:00:00Z","timestamp":1688428800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Ministry of Universities of Spain"},{"name":"University of Le\u00f3n"},{"name":"Centre National d\u2019Etudes Spatiales (CNES)"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>It is a widespread assumption that burned area and severity are increasing worldwide due to climate change. This issue has motivated former analysis based on satellite imagery, revealing a decreasing trend in global burned areas. However, few studies have addressed burn severity trends, rarely relating them to climate variables, and none of them at the global scale. Within this context, we characterized the spatiotemporal patterns of burned area and severity by biomes and continents and we analyzed their relationships with climate over 17 years. African flooded and non-flooded grasslands and savannas were the most fire-prone biomes on Earth, whereas taiga and tundra exhibited the highest burn severity. Our temporal analysis updated the evidence of a decreasing trend in the global burned area (\u22121.50% year\u22121; p &lt; 0.01) and revealed increases in the fraction of burned area affected by high severity (0.95% year\u22121; p &lt; 0.05). Likewise, the regions with significant increases in mean burn severity, and burned areas at high severity outnumbered those with significant decreases. Among them, increases in severely burned areas in the temperate broadleaf and mixed forests of South America and tropical moist broadleaf forests of Australia were particularly intense. Although the spatial patterns of burned area and severity are clearly driven by climate, we did not find climate warming to increase burned area and burn severity over time, suggesting other factors as the primary drivers of current shifts in fire regimes at the planetary scale.<\/jats:p>","DOI":"10.3390\/rs15133401","type":"journal-article","created":{"date-parts":[[2023,7,5]],"date-time":"2023-07-05T00:37:28Z","timestamp":1688517448000},"page":"3401","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["Global Patterns and Dynamics of Burned Area and Burn Severity"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3217-3814","authenticated-orcid":false,"given":"V\u00edctor","family":"Fern\u00e1ndez-Garc\u00eda","sequence":"first","affiliation":[{"name":"Institute of Geography and Sustainability (IGD), Universit\u00e9 de Lausanne, Mouline\u2013G\u00e9opolis, 1015 Lausanne, Switzerland"},{"name":"Ecology, Department of Biodiversity and Environmental Management, Faculty of Biology and Environmental Sciences, Universidad de Le\u00f3n, 24071 Le\u00f3n, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1883-3823","authenticated-orcid":false,"given":"Esteban","family":"Alonso-Gonz\u00e1lez","sequence":"additional","affiliation":[{"name":"Centre d\u2019Etudes Spatiales de la Biosph\u00e8re, CESBIO, Universit\u00e9 de Toulouse, CNES\/CNRS\/INRAE\/IRD\/UPS, 31000 Toulouse, France"}]}],"member":"1968","published-online":{"date-parts":[[2023,7,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1126\/science.1163886","article-title":"Fire in the Earth System","volume":"324","author":"Bowman","year":"2009","journal-title":"Science"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"033003","DOI":"10.1088\/1748-9326\/aa9ead","article-title":"Biological and geophysical feedbacks with fire in the Earth system","volume":"13","author":"Archibald","year":"2018","journal-title":"Environ. Res. Lett."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Keeley, J.E., Bond, W.J., Bradstock, R.A., Pausas, J.G., and Rundel, P.W. (2012). Fire in Mediterranean Ecosystems. Ecology, Evolution and Management, Cambridge University Press.","DOI":"10.1017\/CBO9781139033091"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1356","DOI":"10.1126\/science.aal4108","article-title":"A human-driven decline in global burned area","volume":"356","author":"Andela","year":"2017","journal-title":"Science"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"697","DOI":"10.5194\/essd-9-697-2017","article-title":"Global fire emissions estimates during 1997\u20132016","volume":"9","author":"Randerson","year":"2017","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1038\/s41467-018-08237-z","article-title":"Biophysical feedback of global forest fires on surface temperature","volume":"10","author":"Liu","year":"2019","journal-title":"Nat. Commun."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"20150345","DOI":"10.1098\/rstb.2015.0345","article-title":"Global trends in wildfire and its impacts: Perceptions versus realities in a changing world","volume":"371","author":"Doerr","year":"2016","journal-title":"Phil. Trans. R. Soc. B"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"146361","DOI":"10.1016\/j.scitotenv.2021.146361","article-title":"Human and climate drivers of global biomass burning variability","volume":"779","author":"Chuvieco","year":"2021","journal-title":"Sci. Total Environ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"525","DOI":"10.1111\/j.1469-8137.2004.01252.x","article-title":"The global distribution of ecosystems in a world without fire","volume":"165","author":"Bond","year":"2005","journal-title":"New Phytol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"699","DOI":"10.1007\/s10980-005-5243-y","article-title":"Interactions between fire and flooding in a southern African floodplain system (Okavango Delta, Botswana)","volume":"21","author":"Heinl","year":"2006","journal-title":"Lands. Ecol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"847","DOI":"10.1073\/pnas.1118648109","article-title":"Evolution of human-driven fire regimes in Africa","volume":"109","author":"Archibald","year":"2012","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"20150346","DOI":"10.1098\/rstb.2015.0346","article-title":"Managing the human component of fire regimes: Lessons from Africa","volume":"371","author":"Archibald","year":"2016","journal-title":"Phil. Trans. R. Soc. B"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1016\/j.agrformet.2015.09.002","article-title":"Global patterns in the sensitivity of burned area to fire-weather: Implications for climate change","volume":"214\u2013215","author":"Bedia","year":"2015","journal-title":"Agr. For. Meteorol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"326","DOI":"10.1029\/2018GL080959","article-title":"Global emergence of anthropogenic climate change in fire weather indices","volume":"46","author":"Abatzoglou","year":"2019","journal-title":"Geophys. Res. Lett."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1071\/WF07049","article-title":"Fire intensity, fire severity and burn severity: A brief review and suggested usage","volume":"18","author":"Keeley","year":"2009","journal-title":"Int. J. Wildland Fire"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Lutes, D.C., Keane, R.E., Caratti, J., Key, C.H., Benson, C., Sutherland, S., and Gangi, L.J. (2006). FIREMON: Fire Effects Monitoring and Inventory System, USDA Forest Service. General Technical Report, RMRS-GTR-164.","DOI":"10.2737\/RMRS-GTR-164"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Tran, B.N., Tanase, M.A., Bennett, L.T., and Aponte, C. (2020). High-severity wildfires in temperate Australian forests have increased in extent and aggregation in recent decades. PLoS ONE, 15.","DOI":"10.1371\/journal.pone.0242484"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"137137","DOI":"10.1016\/j.scitotenv.2020.137137","article-title":"Fire regimes shape diversity and traits of vegetation under different climatic conditions","volume":"716","author":"Marcos","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1925","DOI":"10.5194\/essd-13-1925-2021","article-title":"MOSEV: A global burn severity database from MODIS (2000\u20132020)","volume":"13","year":"2021","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"6442","DOI":"10.1073\/pnas.1211466110","article-title":"Defining pyromes and global syndromes of fire regimes","volume":"110","author":"Archibald","year":"2013","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"709","DOI":"10.1016\/j.foreco.2018.11.039","article-title":"Increasing trends in high-severity fire in the southwestern USA from 1984 to 2015","volume":"433","author":"Singleton","year":"2019","journal-title":"For. Ecol. Manag."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1016\/j.rse.2017.12.029","article-title":"Burn severity metrics in fire-prone pine ecosystems along a climatic gradient using Landsat imagery","volume":"206","author":"Santamarta","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_23","first-page":"137","article-title":"Evaluation and comparison of Landsat 8, Sentinel-2 and Deimos-1 remote sensing indices for assessing burn severity in Mediterranean fire-prone ecosystems","volume":"80","author":"Quintano","year":"2019","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"035002","DOI":"10.1088\/1748-9326\/11\/3\/035002","article-title":"How will climate change affect wildland fire severity in the western US?","volume":"11","author":"Parks","year":"2016","journal-title":"Environ. Res. Lett."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Whitman, E., Parisien, M.-A., Thompson, D.K., Hall, R.J., Skakun, R.S., and Flannigan, M.D. (2018). Variability and drivers of burn severity in the northwestern Canadian boreal forest. Ecosphere, 9.","DOI":"10.1002\/ecs2.2128"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"154729","DOI":"10.1016\/j.scitotenv.2022.154729","article-title":"Predicting potential wildfire severity across Southern Europe with global data sources","volume":"829","author":"Marcos","year":"2022","journal-title":"Sci. Total Environ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1890\/ES11-00345.1","article-title":"Climate change and disruptions to global fire activity","volume":"3","author":"Moritz","year":"2012","journal-title":"Ecosphere"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1038\/ngeo1027","article-title":"Recent acceleration of biomass burning and carbon losses in Alaskan forests and peatlands","volume":"4","author":"Turetsky","year":"2011","journal-title":"Nat. Geosci."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"011001","DOI":"10.1088\/1748-9326\/ab541e","article-title":"Wildfire management in Mediterranean-type regions: Paradigm change needed","volume":"15","author":"Moreira","year":"2020","journal-title":"Environ. Res. Lett."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Kharuk, V.I., Dvinskaya, M.L., Im, S.T., Golyukov, A.S., and Smith, K.T. (2022). Wildfires in the Siberian Arctic. Fire, 5.","DOI":"10.3390\/fire5040106"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"6921","DOI":"10.1038\/s41467-021-27225-4","article-title":"Multi-decadal increase of forest burned area in Australia is linked to climate change","volume":"12","author":"Canadell","year":"2021","journal-title":"Nat. Commun."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/j.rse.2018.08.005","article-title":"The Collection 6 MODIS burned area mapping algorithm and product","volume":"217","author":"Giglio","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"933","DOI":"10.1641\/0006-3568(2001)051[0933:TEOTWA]2.0.CO;2","article-title":"Terrestrial ecoregions of the world: A new map of life on Earth","volume":"51","author":"Olson","year":"2001","journal-title":"Bioscience"},{"key":"ref_34","unstructured":"(2021, December 01). Esri, CMI, CIA, Global Mapping International; U.S. Central Intelligence Agency-The World Factbook, World Continents. Available online: https:\/\/www.arcgis.com\/home\/item.html?id=a3cb207855b348a297ab85261743351d."},{"key":"ref_35","unstructured":"R Core Team (2021, December 01). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing. Available online: https:\/\/www.R-project.org\/."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Fern\u00e1ndez-Garc\u00eda, V., Quintano, C., Taboada, A., Marcos, E., Calvo, L., and Fern\u00e1ndez-Manso, A. (2018). Remote Sensing Applied to the Study of Fire Regime Attributes and Their Influence on Post-Fire Greenness Recovery in Pine Ecosystems. Remote Sens., 10.","DOI":"10.3390\/rs10050733"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1016\/j.rse.2006.12.006","article-title":"Quantifying burn severity in a heterogeneous landscape with a relative version of the delta normalized burn ratio (dNBR)","volume":"109","author":"Miller","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"ref_38","first-page":"33","article-title":"Estudio de la severidad post-incendio en la Comunidad Valenciana comparando los \u00edndices dNBR, RdNBR y RBR a partir de im\u00e1genes Landsat 8","volume":"49","year":"2017","journal-title":"Rev. Teledetecci\u00f3n"},{"key":"ref_39","unstructured":"Bronaugh, D., and Werner, A. (2021, December 01). zyp: Zhang + Yue-Pilon Trends Package. R package version 0.10-1.1. Available online: https:\/\/CRAN.R-project.org\/package=zyp."},{"key":"ref_40","first-page":"3905","article-title":"partykit: A Modular Toolkit for Recursive Partytioning in R","volume":"16","author":"Hothorn","year":"2015","journal-title":"J. Mach. Learn. Res."},{"key":"ref_41","unstructured":"Revelle, W. (2022, May 31). psych: Procedures for Personality and Psychological Research Version 2.2.3. Available online: https:\/\/CRAN.R-project.org\/package=psych."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"230","DOI":"10.1126\/science.1210465","article-title":"The Global Extent and Determinants of Savanna and Forest as Alternative Biome States","volume":"334","author":"Staver","year":"2011","journal-title":"Science"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Damasceno-Junior, G.A., and Parolin, A.P. (2021). Flora and Vegetation of the Pantanal Wetland. Plant and Vegetation, Springer.","DOI":"10.1007\/978-3-030-83375-6"},{"key":"ref_44","unstructured":"Bradstock, R.A., Williams, J.E., and Gill, M.A. (2002). Flammable Australia: The Fire Regimes and Biodiversity of a Continent, Cambridge University Press."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1755","DOI":"10.1007\/s10530-022-02743-4","article-title":"Perennial pasture grass invasion changes fire behaviour and recruitment potential of a native forb in a temperate Australian grassland","volume":"24","author":"Walker","year":"2022","journal-title":"Biol. Invasions"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"2377","DOI":"10.1111\/gcb.15591","article-title":"The role of fire in global forest loss dynamics","volume":"27","author":"Randerson","year":"2021","journal-title":"Glob. Change Biol."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"2831","DOI":"10.1111\/j.1365-2486.2011.02441.x","article-title":"Postfire energy exchange in arctic tundra: The importance and climatic implications of burn severity","volume":"17","author":"Rocha","year":"2011","journal-title":"Glob. Change Biol."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1002\/2013MS000293","article-title":"A global soil data set for earth system modeling","volume":"6","author":"Shangguan","year":"2014","journal-title":"J. Adv. Model. Earth Syst."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"1130","DOI":"10.1038\/s41558-020-00920-8","article-title":"Fuel availability not fire weather controls boreal wildfire severity and carbon emissions","volume":"10","author":"Walker","year":"2020","journal-title":"Nat. Clim. Change"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"690","DOI":"10.1038\/s41558-019-0540-7","article-title":"How contemporary bioclimatic and human controls change global fire regimes","volume":"9","author":"Kelley","year":"2019","journal-title":"Nat. Clim. Change"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"639","DOI":"10.1038\/s41586-018-0411-9","article-title":"Global land change from 1982 to 2016","volume":"560","author":"Song","year":"2018","journal-title":"Nature"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"5874","DOI":"10.1111\/gcb.15279","article-title":"Climate regime shift and forest loss amplify fire in Amazonian Forests","volume":"26","author":"Xu","year":"2020","journal-title":"Glob. Change Biol."},{"key":"ref_53","first-page":"5874","article-title":"Megadrought and its influence on the fire regime in central and south-central Chile","volume":"26","author":"Gonzalez","year":"2018","journal-title":"Ecosphere"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"118258","DOI":"10.1016\/j.foreco.2020.118258","article-title":"Forest resilience to fire in eastern Amazon depends on the intensity of pre-fire disturbance","volume":"472","author":"Ruschel","year":"2020","journal-title":"For. Ecol. Manag."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"898","DOI":"10.1038\/s41559-020-1195-5","article-title":"Recent Australian wildfires made worse by logging and associated forest management","volume":"4","author":"Lindenmayer","year":"2020","journal-title":"Nat. Ecol. Evol."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"673","DOI":"10.1111\/j.1365-2389.2005.00708.x","article-title":"An overview of the permanence of soil organic carbon stocks: Influence of direct human-induced, indirect and natural effects","volume":"56","author":"Smith","year":"2005","journal-title":"Eur. J. Soil Sci."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Ramo, R., Roteta, E., Bistinas, I., van Wees, D., Bastarrika, A., Chuvieco, E., and van der Werf, G.R. (2021). African burned area and fire carbon emissions are strongly impacted by small fires undetected by coarse resolution satellite data. Proc. Natl. Acad. Sci. USA, 118.","DOI":"10.1073\/pnas.2011160118"},{"key":"ref_58","first-page":"103350","article-title":"Refining historical burned area data from satellite observations","volume":"120","author":"Kull","year":"2023","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"113670","DOI":"10.1016\/j.rse.2023.113670","article-title":"First evaluation of fire severity retrieval from PRISMA hyperspectral data","volume":"295","author":"Quintano","year":"2023","journal-title":"Remote Sens. Environ."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"104646","DOI":"10.1016\/j.landurbplan.2022.104646","article-title":"Building patterns and fuel features drive wildfire severity in wildland-urban interfaces in Southern Europe","volume":"231","author":"Calvo","year":"2023","journal-title":"Landsc. Urban Plan."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"2437","DOI":"10.1038\/s41467-022-30104-1","article-title":"Potential fire risks in South America under anthropogenic forcing hidden by the Atlantic Multidecadal Oscillation","volume":"13","author":"Wang","year":"2022","journal-title":"Nat. Commun."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/13\/3401\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T20:06:07Z","timestamp":1760126767000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/13\/3401"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,4]]},"references-count":61,"journal-issue":{"issue":"13","published-online":{"date-parts":[[2023,7]]}},"alternative-id":["rs15133401"],"URL":"https:\/\/doi.org\/10.3390\/rs15133401","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,7,4]]}}}