the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
State of Wildfires 2025–2026
Abstract. The global geography, behaviour, and impact of fires are shifting, as spatially varying human influences interact with a visibly changing climate. The State of Wildfires project systematically tracks global and regional fire activity, analyses the causes of prominent extreme wildfire events for three focal regions, and projects the likelihood of similar events under future climate scenarios. During the March 2025–February 2026 fire season, global burned area (BA) was 18 % below the 2002–2024 average and global fire carbon (C) emissions were also 20–31 % below average, making it one of the lowest years on record. Yet this globally low fire year still produced widespread regional impacts. Canada experienced a third consecutive extreme fire year, with national fire C emissions at nearly triple the average since 2002, 70,000 evacuations, and reported direct losses of USD 360 million. In the Midwestern Canadian Shield Forests, the epicentre of Canada’s anomalous season, we find that anthropogenic climate change has doubled the likelihood of extreme fire weather in this region and made the observed BA around 61 times more likely during July–August 2025, while BA extent in the region is 46 times greater. Many parts of Europe also experienced record or high-ranking BA and fire C emissions, including in Spain, Portugal, and the UK, and a record USD 4.11 billion of physical assets were exposed to fire across the continent. Direct fatalities occurred in Türkiye (17), Spain (8), Portugal (6), Cyprus (2), Greece (1) and France (1), and evacuations in Türkiye, Spain, and Greece totalled over 110,000. In the Northwest Iberian Peninsula, we find that extreme fire weather over August 2025 was around 3 times more likely due to climate change. Under a high-emissions scenario (SSP3-7.0), fires of the same return interval are likely to burn about 78 % more area by the end of the century, with some projections within the same scenario suggesting increases of around sevenfold. In Chile and northwest Argentina, January–February 2026 fires caused 23 fatalities, displaced 55,000 people and threatened a UNESCO World Heritage Site. In the Chilean Temperate Forests and Matorral, the epicentre, we find that BA was around 36 % larger due to anthropogenic climate change. Across all focal regions in this report, the conditions for extreme fire developed gradually through months of precipitation deficits, cumulative drying and, in the case of Northwest Iberia, antecedent fuel accumulation aided by preceding wet periods. Continued climate change is expected to intensify these hydroclimatic extremes, yet mitigation has already reduced projected end-of-century wildfire risk: under a high-end emissions pathway (SSP3-7.0), the extreme BA events in our focal regions are projected to be 4–23 % smaller than they would have been under a worst-case emissions scenario no longer considered credible (SSP5-8.5). Meeting the Paris targets (SSP1-2.6) would further reduce BA during these events by 5–36 % across our focal regions. By integrating expertise from across the wildfire community with state-of-the-art observations, data, and modelling, this annual report advances understanding of regional wildfire extremes and their drivers, providing evidence to inform policy, preparedness, mitigation, adaptation, and broader societal benefit. Seventeen new and updated datasets created in this report are available from the State of Wildfires Project's Zenodo community (https://zenodo.org/communities/stateofwildfiresproject/).
Competing interests: Sander Veraverbeke is a member of the editorial board of Earth System Science Data. Niels Andela and Dave van Wees are employees of BeZero Carbon Ltd., a carbon credit ratings agency for the voluntary carbon market.
Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.- Preprint
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RC1: 'Comment on essd-2026-587', Anonymous Referee #1, 29 Sep 2026
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AC1: 'Reply on RC1', Chantelle Burton, 07 Oct 2026
The comment was uploaded in the form of a supplement: https://essd.copernicus.org/preprints/essd-2026-587/essd-2026-587-AC1-supplement.pdf
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AC1: 'Reply on RC1', Chantelle Burton, 07 Oct 2026
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RC2: 'Review of essd-2026-587', Anonymous Referee #2, 09 Oct 2026
The manuscript presents an extensive overview of the wildfire year 2025/26 (March-Feb), examining both the harm caused by fires (casualties, evacuations, damage to property, air quality) as well as their long-term impacts on ecosystems (inlcuding protected areas) and climate. The manuscript exploits a large number of data sets, e.g., remotely sensed burned area, fire size and intensity, and derived carbon emission products. State-of-the-art climate, weather, and fire models are used for prediction and attribution studies. The global state of wildfires is described, and three focus regions are selected for detailed understanding and verification of findings by means of regional expert panels. A novelty of this "State of Wildfires" report is that protected areas are evaluated separately.
The report describes that although burned area continues to decrease globally, there is an increase in extreme fires in different parts of the world, particularly the boreal forests, and in 2025/26 extreme fires occurred in historically unaffected regions. Using climate projections, the report shows that the exceptional situations observed in the three focus regions are much more likely to occur due to (anthropogenic) climate change, and that the probability will increase further in the future. The report points to the importance of combining hydroclimatic indicators, which set the stage for fires by influencing the fuel load, with fire weather data for a more complete assessment of fire risk.
The team builds on the experiences of the previous "State of Wildfires" reports (as mentioned in Sect. 7.2), ensuring continuity and comparability by making only small changes compared to earlier reports. Despite its appreciable length, the report reads well and the individual contributions of authors are well integrated. Judging by the high degree of consistency, it has gone through various rounds of internal review, making for a high-quality report that merits publication in ESSD without the necessity of significant revisions.
Some general comments to the study:
1. The report explicitly reports on fire C emissions, but does not discriminate between emissions of CO2 and CH4, despite the big difference in global warming potential (GWP). The emission factors of CH4 and CO2 depend heavily on fuel characteristics and change with changing fire patterns: e.g., late-dry-season (LDS) burning of dry, highly flammable grasses in southern African savannahs have a smaller CH4:CO2 ratio than early-dry-season fires. The fire C emissions may be larger in LDS (due to higher fuel loads), yet the total GWP is smaller because most C emissions are in the form of CO2, see, e.g. a critical note by Paul Laris and references therein (https://doi.org/10.1038/s41467-021-25141-1). Do the authors account for differences in GWP of C emissions in their assessment?
2. The decision to publish the regional reports separately is appreciated, because it makes the regional findings and efforts more visible and can receive credit in their own right.
3.On line 796 it is mentioned that MERRA2 is used for Northwest Iberia, whereas for all other regions, ERA5 is used. Can the authors elaborate on their decision to use another model in this particular region?Please find additional minor comments below.
ll.123-124: "(...) while BA extent in the region is 46 times greater." -> This subsentence follows two statements on (increased) likelihoods, which affects its readability. I suggest to write this in a new sentence to form a bridge to the subsequent statements on "record or high-ranking BA and fire C emissions".
ll.218-219: "above-average global BA" and "BA extent are both projected to increase" -> This is in contrast to the observation that globally, BA is decreasing. If these statements pertain to the Mediterranean ecoregions (or some other region), this may need to be more clearly stated.
l. 1003: Remove spurious "out"
l. 1115: "half below average" -> Do you mean "half of the average value?" Please rephrase for clarity.
ll. 1190-1208: These paragraphs present absolute totals and differences in addition to relative differences and are somewhat difficult to read. Please consider rephrasing or putting the numbers into a table or figure for clarity.
ll. 1284-1289: "Industrial sites (...) at regional scale." -> These are important considerations of the limitations of the data set, but it appears at an unexpected location, as this might be more suited in either the section describing data sets or in the discussion. In any case, the statement should be made more specific regarding how the static mask "could potentially affect the analysis at regional scale."
l. 1616. "wildfire activity, driven primarily by extensive BA and emissions in Canada." -> This is a case of reversed logic: extensive BA and emissions in Canada are what define the extreme wildfire acitivity, i.e., more like symptoms than drivers. Please rephrase the statement, possibly by replacing "driven primarily by" with "characterised by".
l. 1850: "that produced" -> "with"
ll.3055-3056: "These political commitments provided evidence that countries need better data..." -> Strictly, the commitments only show that nations are joined in wishing for better data; it doesn't prove that they need it. Please revise the statement accordingly.Citation: https://doi.org/10.5194/essd-2026-587-RC2 -
AC2: 'Reply on RC2', Chantelle Burton, 12 Oct 2026
The comment was uploaded in the form of a supplement: https://essd.copernicus.org/preprints/essd-2026-587/essd-2026-587-AC2-supplement.pdf
-
AC2: 'Reply on RC2', Chantelle Burton, 12 Oct 2026
Status: closed
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RC1: 'Comment on essd-2026-587', Anonymous Referee #1, 29 Sep 2026
This is a very comprehensive, timely, and informative report on global wildfire activity during 2025–2026. The report provides a broad overview of wildfire activity and impacts over the past year, while also examining the drivers, attribution, and future changes of several focal wildfire events. Bringing together such a wide range of datasets, analyses, modelling approaches, and regional assessments into a single report clearly represents a substantial amount of work. The continued development of the State of Wildfires Report, including the incorporation of new datasets and methods in this edition, is particularly appreciated. Overall, the manuscript is well organized. I only have a few minor comments and suggestions, as outlined below:
L162: The statement that “global total burned area (BA) and emissions are decreasing” may need some clarification. While global burned area has shown a clear declining trend, global fire emissions have remained relatively stable, with previous studies reporting only a statistically non-significant decreasing trend (e.g., Zheng et al., 2021). I suggest distinguishing these contrasting trends, which may also better support the following discussion of increasingly severe regional fire impacts (e.g., increasing forest fire activity).
L384–386: If I understand correctly, the GFED5 fire emissions used in this study consist of two components: the standard GFED5 record through 2022 and GFED5-NRT (Chen et al., 2026) for 2023–2026. Although GFED5-NRT relies on different data sources and methodological approaches to extend the historical record, it has been shown to be broadly consistent with the standard GFED5 product. I suggest explicitly clarifying these two components and their respective temporal coverage so that readers can clearly understand the composition of the GFED5 emission record used in this study.
L3012–3021: One potential direction for future editions of the State of Wildfires Report could be to complement the long-term climate projections with a near-term outlook for the upcoming fire season. Given the annual nature of the report, it may be valuable to explore whether probabilistic forecasts of wildfire activity (e.g., burned area or the likelihood of above-normal fire activity) could be provided for the following fire season. If feasible, this could be an interesting avenue to consider in future editions, potentially further enhancing the practical value of the report for preparedness and early warning.
References
Zheng, B., Ciais, P., Chevallier, F., Chuvieco, E., Chen, Y., & Yang, H. (2021). Increasing forest fire emissions despite the decline in global burned area. Science advances, 7(39), eabh2646.Chen, Y., van der Werf, G. R., Mu, M., van Wees, D., Hall, J. V., Giglio, L., ... & Randerson, J. T. (2026). Tracking recent extremes and interannual variability of global fire emissions using a near-real-time extension to the Global Fire Emissions Database. Earth System Science Data Discussions, 2026, 1-25.
Citation: https://doi.org/10.5194/essd-2026-587-RC1 -
AC1: 'Reply on RC1', Chantelle Burton, 07 Oct 2026
The comment was uploaded in the form of a supplement: https://essd.copernicus.org/preprints/essd-2026-587/essd-2026-587-AC1-supplement.pdf
-
AC1: 'Reply on RC1', Chantelle Burton, 07 Oct 2026
-
RC2: 'Review of essd-2026-587', Anonymous Referee #2, 09 Oct 2026
The manuscript presents an extensive overview of the wildfire year 2025/26 (March-Feb), examining both the harm caused by fires (casualties, evacuations, damage to property, air quality) as well as their long-term impacts on ecosystems (inlcuding protected areas) and climate. The manuscript exploits a large number of data sets, e.g., remotely sensed burned area, fire size and intensity, and derived carbon emission products. State-of-the-art climate, weather, and fire models are used for prediction and attribution studies. The global state of wildfires is described, and three focus regions are selected for detailed understanding and verification of findings by means of regional expert panels. A novelty of this "State of Wildfires" report is that protected areas are evaluated separately.
The report describes that although burned area continues to decrease globally, there is an increase in extreme fires in different parts of the world, particularly the boreal forests, and in 2025/26 extreme fires occurred in historically unaffected regions. Using climate projections, the report shows that the exceptional situations observed in the three focus regions are much more likely to occur due to (anthropogenic) climate change, and that the probability will increase further in the future. The report points to the importance of combining hydroclimatic indicators, which set the stage for fires by influencing the fuel load, with fire weather data for a more complete assessment of fire risk.
The team builds on the experiences of the previous "State of Wildfires" reports (as mentioned in Sect. 7.2), ensuring continuity and comparability by making only small changes compared to earlier reports. Despite its appreciable length, the report reads well and the individual contributions of authors are well integrated. Judging by the high degree of consistency, it has gone through various rounds of internal review, making for a high-quality report that merits publication in ESSD without the necessity of significant revisions.
Some general comments to the study:
1. The report explicitly reports on fire C emissions, but does not discriminate between emissions of CO2 and CH4, despite the big difference in global warming potential (GWP). The emission factors of CH4 and CO2 depend heavily on fuel characteristics and change with changing fire patterns: e.g., late-dry-season (LDS) burning of dry, highly flammable grasses in southern African savannahs have a smaller CH4:CO2 ratio than early-dry-season fires. The fire C emissions may be larger in LDS (due to higher fuel loads), yet the total GWP is smaller because most C emissions are in the form of CO2, see, e.g. a critical note by Paul Laris and references therein (https://doi.org/10.1038/s41467-021-25141-1). Do the authors account for differences in GWP of C emissions in their assessment?
2. The decision to publish the regional reports separately is appreciated, because it makes the regional findings and efforts more visible and can receive credit in their own right.
3.On line 796 it is mentioned that MERRA2 is used for Northwest Iberia, whereas for all other regions, ERA5 is used. Can the authors elaborate on their decision to use another model in this particular region?Please find additional minor comments below.
ll.123-124: "(...) while BA extent in the region is 46 times greater." -> This subsentence follows two statements on (increased) likelihoods, which affects its readability. I suggest to write this in a new sentence to form a bridge to the subsequent statements on "record or high-ranking BA and fire C emissions".
ll.218-219: "above-average global BA" and "BA extent are both projected to increase" -> This is in contrast to the observation that globally, BA is decreasing. If these statements pertain to the Mediterranean ecoregions (or some other region), this may need to be more clearly stated.
l. 1003: Remove spurious "out"
l. 1115: "half below average" -> Do you mean "half of the average value?" Please rephrase for clarity.
ll. 1190-1208: These paragraphs present absolute totals and differences in addition to relative differences and are somewhat difficult to read. Please consider rephrasing or putting the numbers into a table or figure for clarity.
ll. 1284-1289: "Industrial sites (...) at regional scale." -> These are important considerations of the limitations of the data set, but it appears at an unexpected location, as this might be more suited in either the section describing data sets or in the discussion. In any case, the statement should be made more specific regarding how the static mask "could potentially affect the analysis at regional scale."
l. 1616. "wildfire activity, driven primarily by extensive BA and emissions in Canada." -> This is a case of reversed logic: extensive BA and emissions in Canada are what define the extreme wildfire acitivity, i.e., more like symptoms than drivers. Please rephrase the statement, possibly by replacing "driven primarily by" with "characterised by".
l. 1850: "that produced" -> "with"
ll.3055-3056: "These political commitments provided evidence that countries need better data..." -> Strictly, the commitments only show that nations are joined in wishing for better data; it doesn't prove that they need it. Please revise the statement accordingly.Citation: https://doi.org/10.5194/essd-2026-587-RC2 -
AC2: 'Reply on RC2', Chantelle Burton, 12 Oct 2026
The comment was uploaded in the form of a supplement: https://essd.copernicus.org/preprints/essd-2026-587/essd-2026-587-AC2-supplement.pdf
-
AC2: 'Reply on RC2', Chantelle Burton, 12 Oct 2026
Data sets
Regional Summaries of Burned Area, Fire Emissions, and Individual Fire Characteristics for National, Administrative and Biogeographical Regions M. W. Jones et al. https://doi.org/10.5281/zenodo.21262381
Updates to the Global Fire Atlas of individual fire size, duration, speed and direction N. Andela and M. W. Jones https://doi.org/10.5281/zenodo.21262381
Population Exposure to Wildfire data S. Teymoor Seydi et al. https://doi.org/10.5281/zenodo.20787866
Physical Asset Exposure to Wildfire data are available at Steinmann C. B. Steinmann et al. https://doi.org/10.5281/zenodo.21332621
Daily mean PM2.5 surface concentrations aggregated by Continent, Biome, Country, and Administrative Region data E. Di Tomaso et al. https://doi.org/10.5281/zenodo.21277053
Protected Areas Exposure to Fire data À. Cunill Camprubí et al. https://doi.org/10.5281/zenodo.20764120
Forest Carbon Project Exposure to Fire data N. Andela et al. https://doi.org/10.5281/zenodo.21430353
Anomalies in Extreme Fire Weather Days by Continent, Biome, Country, and Administrative Region M. Turco et al. https://doi.org/10.5281/zenodo.20757872
Data for "Large-scale modelled impacts of the 2025 Canadian wildfires" by Rosu et al. I.-A. Rosu et al. https://doi.org/10.5281/zenodo.20523005
ERA5-Land hourly data from 1950 to present J. Muñoz Sabater https://doi.org/10.24381/cds.e2161bac
Observation and ERA5-Land derived 9 km global daily fire fuel characteristics since 2003 European Centre for Medium-Range Weather Forecasts (ECMWF) https://doi.org/10.24381/378d1497
FWI calculated from HadGEM3-A and Present-Day Attribution using HadGEM3-A large ensemble data A. Hartley et al. https://doi.org/10.5281/zenodo.21379381
State of Wildfires 2025-26: Present-Day Attribution and Future Projections of Focal Events Using FWI7X Z. Liu and J. Eden https://doi.org/10.5281/zenodo.20827512
HadGEM3-A historical data Met Office http://catalogue.ceda.ac.uk/uuid/99b29b4bfeae470599fb96243e90cde3
WWA Attribution and Future Projection of Focal Events Using FWI95 data T. Keeping https://doi.org/10.5281/zenodo.21374687
State of Wildfires 2025-26: Midwestern Canadian Shield Forests Burned Area Attribution and Projections D. Kelley et al. https://doi.org/10.5281/zenodo.21468717
State of Wildfires 2025-26: Northwest Iberia Burned Area Attribution and Projections D. Kelley et al. https://doi.org/10.5281/zenodo.21458571
State of Wildfires 2025-26: Chilean Temperate Forests and Matorral Burned Area Attribution and Projections D. Kelley et al. https://doi.org/10.5281/zenodo.21459106
JULES-ES bias adjustment data J. Wessel and F. Spuler https://doi.org/10.5281/zenodo.21397548
BuRNN: A Data-Driven Fire Model S. Lampe https://doi.org/10.5281/zenodo.17778519
BuRNN (v1.0): a data-driven fire model S. Lampe et al. https://doi.org/10.5194/gmd-19-955-2026
Wildfires on a changing planet O. Haas et al. https://doi.org/10.1038/s41467-025-68176-4
Model code and software
State of Wildfires 2025-26: Present-Day Attribution and Future Projections of Focal Events Using FWI7X Z. Liu and J. Eden https://doi.org/10.5281/zenodo.20827512
State of Wildfires 2025-26: WWA Attribution and Future Projection of Focal Events Using FWI95 T. Keeping https://doi.org/10.5281/zenodo.21374687
douglask3/State_of_Wildfires_report: State of Wildfires 2025-26: FWI attribution model (Versions Sow2526_v0.1) C. Burton et al. https://doi.org/10.5281/zenodo.21499355
Data for "Large-scale modelled impacts of the 2025 Canadian wildfires" by Rosu et al. I.-A. Rosu et al. https://doi.org/10.5281/zenodo.20523005
State-of-Wildfires_CLIMADA Carmen B. Steinmann https://doi.org/10.5281/zenodo.21393395
State of Wildfires 2025-26: ConFLAME (Versions SoW2526_v0.1) D. Kelley et al. https://doi.org/10.5281/zenodo.21473591
VUB-HYDR/BuRNN: Version 1.1 (Version v1.1) S. Lampe https://doi.org/10.5281/zenodo.17834206
BuRNN (v1.0): a data-driven fire model S. Lampe et al. https://doi.org/10.5194/gmd-19-955-2026
Wildfires on a changing planet O. Haas et al. https://doi.org/10.1038/s41467-025-68176-4
Set up the models O. Haas https://doi.org/10.6084/m9.figshare.24764583
Run models O. Haas https://doi.org/10.6084/m9.figshare.24764577
Results scripts O. Haas https://doi.org/10.6084/m9.figshare.24764571
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- 1
This is a very comprehensive, timely, and informative report on global wildfire activity during 2025–2026. The report provides a broad overview of wildfire activity and impacts over the past year, while also examining the drivers, attribution, and future changes of several focal wildfire events. Bringing together such a wide range of datasets, analyses, modelling approaches, and regional assessments into a single report clearly represents a substantial amount of work. The continued development of the State of Wildfires Report, including the incorporation of new datasets and methods in this edition, is particularly appreciated. Overall, the manuscript is well organized. I only have a few minor comments and suggestions, as outlined below:
L162: The statement that “global total burned area (BA) and emissions are decreasing” may need some clarification. While global burned area has shown a clear declining trend, global fire emissions have remained relatively stable, with previous studies reporting only a statistically non-significant decreasing trend (e.g., Zheng et al., 2021). I suggest distinguishing these contrasting trends, which may also better support the following discussion of increasingly severe regional fire impacts (e.g., increasing forest fire activity).
L384–386: If I understand correctly, the GFED5 fire emissions used in this study consist of two components: the standard GFED5 record through 2022 and GFED5-NRT (Chen et al., 2026) for 2023–2026. Although GFED5-NRT relies on different data sources and methodological approaches to extend the historical record, it has been shown to be broadly consistent with the standard GFED5 product. I suggest explicitly clarifying these two components and their respective temporal coverage so that readers can clearly understand the composition of the GFED5 emission record used in this study.
L3012–3021: One potential direction for future editions of the State of Wildfires Report could be to complement the long-term climate projections with a near-term outlook for the upcoming fire season. Given the annual nature of the report, it may be valuable to explore whether probabilistic forecasts of wildfire activity (e.g., burned area or the likelihood of above-normal fire activity) could be provided for the following fire season. If feasible, this could be an interesting avenue to consider in future editions, potentially further enhancing the practical value of the report for preparedness and early warning.
References
Zheng, B., Ciais, P., Chevallier, F., Chuvieco, E., Chen, Y., & Yang, H. (2021). Increasing forest fire emissions despite the decline in global burned area. Science advances, 7(39), eabh2646.
Chen, Y., van der Werf, G. R., Mu, M., van Wees, D., Hall, J. V., Giglio, L., ... & Randerson, J. T. (2026). Tracking recent extremes and interannual variability of global fire emissions using a near-real-time extension to the Global Fire Emissions Database. Earth System Science Data Discussions, 2026, 1-25.