Brushlinsky, N. N., Sokolov, S., Wagner, P. & Messerschmidt, B. World Fire Statistics (Center for Fire Statistics of CTIF, 2022).
Chen, G. B. et al. Mortality risk attributable to wildfire-related PM2·5 pollution: a global time series study in 749 locations. Lancet. Planet Health 5, e579–e587 (2021).
Google Scholar
AR6 Synthesis Report: Climate Change 2023 (IPCC, 2023).
Schollaert, C. L. et al. Quantifying the smoke-related public health trade-offs of forest management. Nat. Sustain. https://doi.org/10.1038/s41893-023-01253-y (2023).
Google Scholar
Rad, A. M. et al. Human and infrastructure exposure to large wildfires in the United States. Nat. Sustain. 6, 1343–1351 (2023).
Google Scholar
Smith, C., Perkins, O. & Mistry, J. Global decline in subsistence-oriented and smallholder fire use. Nat. Sustain. 5, 542–551 (2022).
Google Scholar
Brown, P. T. et al. Climate warming increases extreme daily wildfire growth risk in California. Nature https://doi.org/10.1038/s41586-023-06444-3 (2023).
Balch, J. K. et al. Warming weakens the night-time barrier to global fire. Nature 602, 442–448 (2022).
Google Scholar
Reich, P. B. et al. Even modest climate change may lead to major transitions in boreal forests. Nature 608, 540–545 (2022).
Google Scholar
Fire in the United States 2008–2017 (20th Edition) (US Fire Administration, 2019).
Johnston, F. H., Williamson, G., Borchers-Arriagada, N., Henderson, S. B. & Bowman, M. J. S. Climate change, landscape fires, and human health: a global perspective. Annu. Rev. Public Health 45, 295–314 (2024).
Google Scholar
Zacharakis, I. & Tsihrintzis, V. A. Environmental forest fire danger rating systems and indices around the globe: a review. Land 12, 194 (2023).
Google Scholar
Ganteaume, A. et al. A review of the main driving factors of forest fire ignition over Europe. Environ. Manag. 51, 651–662 (2013).
Google Scholar
Mann, M. L. et al. Incorporating anthropogenic influences into fire probability models: effects of human activity and climate change on fire activity in California. PLoS ONE 11, e0153589 (2016).
Google Scholar
Vitolo, C., Di Giuseppe, F., Krzeminski, B. & San-Miguel-Ayanz, J. A 1980–2018 global fire danger re-analysis dataset for the Canadian Fire Weather Indices. Sci. Data 6, 190032 (2019).
Google Scholar
Chelli, S. et al. Adaptation of the Canadian Fire Weather Index to Mediterranean forests. Nat. Hazards 75, 1795–1810 (2014).
Google Scholar
Syphard, A. D., Sheehan, T., Rustigian-Romsos, H. & Ferschweiler, K. Mapping future fire probability under climate change: does vegetation matter? PLoS ONE 13, e0201680 (2018).
Google Scholar
Guyette, R. P., Thompson, F. R., Whittier, J., Stambaugh, M. C. & Dey, D. C. Future fire probability modeling with climate change data and physical chemistry. For. Sci. 60, 862–870 (2014).
Numbers of Firefighters by Country and Category (European Public Service Union, 2021); www.epsu.org/article/numbers-firefighters-country-and-category
Zhuang, J., Payyappalli, V. M., Behrendt, A. & Lukasiewicz, K. Total Cost of Fire in the United States (National Fire Protection Association, 2017).
FEMA. National Fire Incident Reporting System Version 5 Fire Data Analysis Guidelines and Issues (United States Fire Administration, 2011).
Fire statistics definitions. UK Government www.gov.uk/government/publications/fire-statistics-guidance/fire-statistics-definitions (2021).
2010 Korean Fire Data (Korean Fire Protection Association, 2011).
Canadian Centre for Justice Statistics. Fire Statistics in Canada, Selected Observations from the National Fire Information Database 2005 to 2014 (Canadian Association of Fire Chiefs, 2017).
Shi, L. & Chew, M. Y. L. Influence of moisture on autoignition of woods in cone calorimeter. J. Fire Sci. 30, 158–169 (2012).
Google Scholar
Hocken, R. Comparison of European Fire Statistics Final Report for the Department for Communities and Local Government (United Kingdom Department for Communities and Local Government, 2012).
Anderson, A. & Ezekoye, O. A. Exploration of NFIRS protected populations using geocoded fire incidents. Fire Saf. J. 95, 122–134 (2018).
Google Scholar
EUFireStat—Closing Data Gaps and Paving the Way for Pan-European Fire Safety Efforts (European Commission, 2021).
Hirschler, M. M. in Advances in Fire Retardant Materials Ch. 16, 443–466 (Woodheat Publishing, 2008).
Wi, S. W., Yang, S. W., Kim, Y. U., Kang, Y. J. & Kim, S. M. Toxicity characteristics and fire retardant performance of commercially manufactured organic insulation materials for building applications. Constr. Build. Mater. 341, 127898 (2022).
Google Scholar
Ouhaibi, S., Gounni, A., Belouaggadia, N., Ezzine, M. & Lbibb, R. Thermal performance of new ecological material integrated into residential building in semi-arid and cold climates. Appl. Therm. Eng. 181, 115933 (2020).
Google Scholar
Festag, S. The statistical effectiveness of fire protection measures: learning from real fires in Germany. Fire Technol. 57, 1589–1609 (2021).
Google Scholar
Kim, M. et al. Improvement of standards on fire safety performance of externally insulated high-rise buildings: focusing on the case in Korea. J. Build. Eng. 35, 101990 (2021).
Google Scholar
Guo, T. N. & Fu, Z. M. The fire situation and progress in fire safety science and technology in China. Fire Saf. J. 42, 171–182 (2007).
Google Scholar
Incident Recording System—Questions and Lists Version 1.4—(XML Schemas v1-0n) (UK Department for Communities and Local Government, 2009).
Dunn, R. J. H., Willett, K. M., Ciavarella, A. & Stott, P. A. Comparison of land surface humidity between observations and CMIP5 models. Earth Syst. Dyn. 8, 719–747 (2017).
Google Scholar
Mu, J. Y., Zhang, S. S. & Yue, Y. The influence of physical environmental factors on older adults in residential care facilities in Northeast China. Health Environ. Res. Des. J. 15, 131–149 (2022).
Menebo, M. M. Temperature and precipitation associate with Covid-19 new daily cases: a correlation study between weather and Covid-19 pandemic in Oslo, Norway. Sci. Total Environ. 737, 139659 (2020).
Google Scholar
Georgiadis-Filikas, K., Bakas, I. & Kontoleon, K. Statistical analysis and review of fire incidents data of Greece, with special focus on residential cases 2000–2019. Fire Technol. 58, 3191–3233 (2022).
Google Scholar
Savvakis, N. et al. Environmental effects from the use of traditional biomass for heating in rural areas: a case study of Anogeia, Crete. Environ. Dev. Sustain. 24, 5473–5495 (2022).
Google Scholar
Hall, J. R. Home Fires Involving Air Conditioning, Fans or Related Equipment (National Fire Protection Association, 2010).
Luo, Y. X., Li, Q., Jiang, L. R. & Zhou, Y. H. Analysis of Chinese fire statistics during the period 1997–2017. Fire Saf. J. 125, 103400 (2021).
Google Scholar
Walker, X. J. et al. Fuel availability not fire weather controls boreal wildfire severity and carbon emissions. Nat. Clim. Change 10, 1130–1136 (2020).
Google Scholar
Deb, P. et al. Causes of the widespread 2019–2020 Australian bushfire season. Earths Future https://doi.org/10.1029/2020EF001671 (2020).
Google Scholar
Gaboriau, D. M., Asselin, H., Ali, A. A., Hely, C. & Girardin, M. P. Drivers of extreme wildfire years in the 1965–2019 fire regime of the Tłchǫ First Nation Territory, Canada. Ecoscience 29, 249–265 (2022).
Google Scholar
Stauffer E. in Forensic Investigation of Stolen-Recovered and Other Crime-Related Vehicles Ch. 12, 301–336 (Academic Press, 2006).
Highway Vehicle Fires (2014–2016) 1–11 (US Fire Administration, 2018).
Rogeau, M. P. & Armstrong, G. W. Quantifying the effect of elevation and aspect on fire return intervals in the Canadian Rocky Mountains. For. Ecol. Manage. 384, 248–261 (2017).
Google Scholar
Mattson, J. Relationships between density, transit, and household expenditures in small urban areas. Transp. Res. Interdisc. Perspect. 8, 100260 (2020).
Juan, W. Y., Wu, C. L., Liu, F. W. & Chen, W. S. Fires in waste treatment facilities: challenges and solutions from a fire investigation perspective. Sustainability 15, 9756 (2023).
Google Scholar
Xin, J. & Huang, C. F. Fire risk assessment of residential buildings based on fire statistics from China. Fire Technol. 50, 1147–1161 (2014).
Google Scholar
Richardson, L. R. What fire statistics tell us about our fire and building codes for housing and small buildings and fire risk for occupants of those structures. Fire Mater. 25, 255–271 (2001).
Google Scholar
Filkov, A. I. et al. A review of thermal exposure and fire spread mechanisms in large outdoor fires and the built environment. Fire Saf. J. 140, 103871 (2023).
Google Scholar
Shimizu, Y., Wakakura, M. & Arai, M. Heat accumulations and fire accidents of waste piles. J. Loss Prev. Process Ind. 22, 86–90 (2009).
Google Scholar
Wang, Q. S., Mao, B. B., Stoliarov, S. I. & Sun, J. H. A review of lithium ion battery failure mechanisms and fire prevention strategies. Prog. Energy Combust. Sci. 73, 95–131 (2019).
Google Scholar
Sun, P., Bisschop, R., Niu, H. C. & Huang, X. Y. A review of battery fires in electric vehicles. Fire Technol. 56, 1361–1410 (2020).
Google Scholar
Abram, N. J. et al. Connections of climate change and variability to large and extreme forest fires in southeast Australia. Commun. Earth Environ. 2, 8 (2021).
Google Scholar
Pourhoseingholi, M. A., Vahedi, M. & Rahimzadeh, M. Sample size calculation in medical studies. Gastroenterol. Hepatol. Bed Bench 6, 14–17 (2013).
Qi, D. et al. Climate change drives rapid decadal acidification in the Arctic Ocean from 1994 to 2020. Science 377, 1544–1550 (2022).
Google Scholar
Clark, M. A. et al. Global food system emissions could preclude achieving the 1.5° and 2°C climate change targets. Science 370, 705–708 (2020).
Google Scholar
Outhwaite, C. L., McCann, P. & Newbold, T. Agriculture and climate change are reshaping insect biodiversity worldwide. Nature 605, 97–102 (2022).
Google Scholar
Chen, Y. et al. Future increases in Arctic lightning and fire risk for permafrost carbon. Nat. Clim. Change 11, 404–410 (2021).
Google Scholar
Haller, H. L., Wurzer, P., Peterlik, C., Gabriel, C. & Cancio, L. C. in Total Burn Care Ch. 5, 36–49 (Elsevier, 2018).
Taming Wildfires in the Context of Climate Change (OECD, 2023).
Spreading Like Wildfire: The Rising Threat of Extraordinary Landscape Fires (UN Environment Programme, 2022).
Partanen, T. M. & Sofiev, M. Forecasting the regional fire radiative power for regularly ignited vegetation fires. Nat. Hazards Earth Syst. Sci 22, 1335–1346 (2022).
Google Scholar
Chavan, D. et al. Estimation of spontaneous waste ignition time for prevention and control of landfill fire. Waste Manag. 139, 258–268 (2022).
Google Scholar
Noble, I. R., Bary, G. A. V. & Gill, A. M. McArthur’s fire-danger meters expressed as equations. Austral. Ecol. 5, 201–203 (1980).
Google Scholar
Schmalzer, P. A. & Foster, T. E. Effects of repeated fire on Florida oak-saw palmetto scrub. Fire Ecol. 18, 16–32 (2022).
Google Scholar
Taillie, P. J. et al. Interacting and non-linear avian responses to mixed-severity wildfire and time since fire. Ecosphere https://doi.org/10.1002/ecs2.2291 (2018).
Google Scholar
Hapsari, D. W. & Khairunnisa, K. A. Integrated reporting implementation in the health sector industry. Australas. Bus. Account. Finance J. 17, 149–162 (2023).
Google Scholar
Cichosz, S., Masek, A. & Dems-Rudnicka, K. Original study on mathematical models for analysis of cellulose water content from absorbance/wavenumber shifts in ATR FT-IR spectrum. Sci. Rep. 12, 19739 (2022).
Google Scholar
Hsiang, S. et al. Estimating economic damage from climate change in the United States. Science 356, 1362–1369 (2017).
Google Scholar
Heft-Neal, S., Burney, J., Bendavid, E. & Burke, M. Robust relationship between air quality and infant mortality in Africa. Nature 559, 254–258 (2018).
Google Scholar
Anderson, A. & Ezekoye, O. A. A comparative study assessing factors that influence home fire casualties and fatalities using state fire incident data. J. Fire. Prot. Eng. 23, 51–75 (2013).
Google Scholar
Agarwal, P., Tang, J. L., Narayanan, A. N. L. & Zhuang, J. Big data and predictive analytics in fire risk using weather data. Risk Anal. 40, 1438–1449 (2020).
Google Scholar
The R Project for Statistical Computing. The R Foundation www.r-project.org (2021).
World Population Prospects 2022: Summary of Results (United Nations Department of Economic and Social Affairs – Population Division, 2022).
Anderson, A. & Janssens, M. A multi-national survey of low-energy and smoking materials ignition fires. Fire Technol. 52, 1709–1735 (2016).
Google Scholar
Buffington, T., Scott, J. G. & Ezekoye, O. A. Combining spatial and sociodemographic regression techniques to predict residential fire counts at the census tract level. Comput. Environ. Urban Syst. 88, 101633 (2021).
Google Scholar
Metadata. National Centers for Environmental Information www.ncei.noaa.gov (2021).
Hanif, M. A., Nadeem, F., Tariq, R. & Rashid, U. in Renewable and Alternative Energy Resources Ch. 4, 171–261 (Academic Press, 2022).
Stopa-Boryczka, M. Thermal characteristics of the climate of Europe. Misc. Geogr. 7, 55–63 (1996).
Coordinates finder. Distancesto www.distancesto.com/coordinates.php (2022).
Huang, M. T. et al. Air temperature optima of vegetation productivity across global biomes. Nat. Ecol. Evol. 3, 772–779 (2019).
Google Scholar
Baksic, N. & Baksic, D. Predicting the fine fuel moisture content in Dalmatian black pine needle litter. Int. J. Wildland Fire 31, 708–719 (2022).
Google Scholar
Romps, D. M., Seeley, J. T., Vollaro, D. & Molinari, J. Projected increase in lightning strikes in the United States due toglobal warming. Science 346, 851–854 (2014).
Google Scholar
Hansen, J. & Sato, M. Regional climate change and national responsibilities. Environ. Res. Lett. 11, 034009 (2016).
Google Scholar
Liu, Z. H. & Wimberly, M. C. Climatic and landscape influences on fire regimes from 1984 to 2010 in the Western United States. PLoS ONE 10, e0140839 (2015).
Google Scholar
Veraverbeke, S. et al. Lightning as a major driver of recent large fire years in North American boreal forests. Nat. Clim. Change 7, 529–534 (2017).
Google Scholar