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Australia’s current wildfire crisis linked to colonial land-use change

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References

  1. Cunningham, C. X., Williamson, G. J. & Bowman, D. M. J. S. Increasing frequency and intensity of the most extreme wildfires on Earth. Nat. Ecol. Evol. 8, 1420–1425 https://doi.org/10.1038/s41559-024-02452-2 (2024).

    Article  PubMed  Google Scholar 

  2. Bowman, D. M. et al. Vegetation fires in the Anthropocene. Nat. Rev. Earth Environ. 1, 500–515 (2020).

    Article  ADS  Google Scholar 

  3. Duane, A., Castellnou, M. & Brotons, L. Towards a comprehensive look at global drivers of novel extreme wildfire events. Clim. Change 165, 43 (2021).

    Article  ADS  Google Scholar 

  4. Van Oldenborgh, G. J. et al. Attribution of the Australian bushfire risk to anthropogenic climate change. Nat. Hazards Earth Syst. Sci. 21, 941–960 (2021).

    Article  ADS  Google Scholar 

  5. Fletcher, M.-S., Romano, A., Connor, S., Mariani, M. & Maezumi, S. Y. Catastrophic bushfires, indigenous fire knowledge and reframing science in Southeast Australia. Fire 4, 61 (2021).

    Article  Google Scholar 

  6. Jones, M. W. et al. Global and regional trends and drivers of fire under climate change. Rev. Geophys. 60, e2020RG000726 (2022).

    Article  ADS  Google Scholar 

  7. Pausas, J. G. & Keeley, J. E. Wildfires and global change. Front. Ecol. Environ. 19, 387–395 (2021).

    Article  Google Scholar 

  8. Christianson, A. C. et al. Centering Indigenous voices: the role of fire in the boreal forest of North America. Curr. For. Rep. 8, 257–276 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  9. Mariani, M. et al. Disruption of cultural burning promotes shrub encroachment and unprecedented wildfires. Front. Ecol. Environ. 20, 292–300 https://doi.org/10.1002/fee.2395 (2022).

    Article  Google Scholar 

  10. Nolan, R. H. et al. Causes and consequences of eastern Australia’s 2019–20 season of mega-fires. Glob. Change Biol. 26, 1039–1041 (2020).

    Article  ADS  Google Scholar 

  11. Sharples, J. Why suppressing all wildfires has made today’s megafires worse. Nature 644, 9 (2025).

    Article  ADS  CAS  PubMed  Google Scholar 

  12. Australian Government Department of Climate Change, Energy, the Environment and Water (DCCEEW). National Vegetation Information System (NVIS) https://www.dcceew.gov.au/environment/environment-information-australia/national-vegetation-information-system (DCCEEW, 2024).

  13. Oliver, I., Smith, P. L., Lunt, I. & Parkes, D. Pre-1750 vegetation, naturalness and vegetation condition: what are the implications for biodiversity conservation?. Ecol. Manag. Restor. 3, 176–178 (2002).

    Article  Google Scholar 

  14. Cunningham, C. X. et al. Pyrogeography in flux: reorganization of Australian fire regimes in a hotter world. Glob. Change Biol. 30, e17130 (2024).

    Article  CAS  Google Scholar 

  15. Bowman, D. M. J. S., Murphy, B. P., Burrows, G. E. & Crisp, M. D. Fire regimes and the evolution of the Australian biota. In Flammable Australia: Fire Regimes, Biodiversity and Ecosystems in a Changing World (eds Bradstock, R. A. et al.) 27–48 (CSIRO Publishing, 2012).

  16. Lutze, M. T., Trouvé, R., Baker, P. J. & Nitschke, C. R. The impact of a severe wildfire on canopy structure and composition in a lowland mixed-eucalypt forest in southeastern Australia. Fire Ecol. 21, 33 (2025).

    Article  Google Scholar 

  17. Pascoe, J. et al. Lighting a pathway: our obligation to culture and Country. Ecol. Manag. Restor. 24, 153–155 (2023).

    Article  Google Scholar 

  18. Gammage, B. The Biggest Estate on Earth: How Aborigines Made Australia (Allen & Unwin, 2011).

  19. Trauernicht, C., Brook, B. W., Murphy, B. P., Williamson, G. J. & Bowman, D. M. Local and global pyrogeographic evidence that indigenous fire management creates pyrodiversity. Ecol. Evol. 5, 1908–1918 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  20. French, B. J., Murphy, B. P. & Bowman, D. M. J. S. Promoting optimal habitat availability by maintaining fine-grained burn mosaics: a modelling study in an Australian semi-arid temperate woodland. Fire 7, 172 (2024).

    Article  Google Scholar 

  21. Doherty, T. S., Macdonald, K. J., Nimmo, D. G., Santos, J. L. & Geary, W. L. Shifting fire regimes cause continent-wide transformation of threatened species habitat. Proc. Natl Acad. Sci. 121, e2316417121 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Bowman, D. M. et al. Population collapse of a Gondwanan conifer follows the loss of Indigenous fire regimes in a northern Australian savanna. Sci. Rep. 12, 9081 (2022).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  23. Morgan, G. et al. Prescribed burning in south-eastern Australia: history and future directions. Aust. For. 83, 4–28 (2020).

    Article  Google Scholar 

  24. Kreider, M. R. et al. Fire suppression makes wildfires more severe and accentuates impacts of climate change and fuel accumulation. Nat. Commun. 15, 2412 (2024).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  25. Younes, N., Yebra, M., Boer, M. M., Griebel, A. & Nolan, R. H. A review of leaf-level flammability traits in eucalypt trees. Fire 7, 183 (2024).

    Article  Google Scholar 

  26. Tran, B. N., Tanase, M. A., Bennett, L. T. & Aponte, C. High-severity wildfires in temperate Australian forests have increased in extent and aggregation in recent decades. PLoS One 15, e0242484 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Collins, L. et al. Warmer and drier conditions have increased the potential for large and severe fire seasons across south-eastern Australia. Glob. Ecol. Biogeogr. 31, 1933–1948 (2022).

    Article  Google Scholar 

  28. Clarke, H., Lucas, C. & Smith, P. Changes in Australian fire weather between 1973 and 2010. Int. J. Climatol. 33, 931–944 (2013).

    Article  Google Scholar 

  29. Udy, D. G., Vance, T. R., Kiem, A. S., Holbrook, N. J. & Abram, N. Australia’s 2019/20 Black Summer fire weather exceptionally rare over the last 2000 years. Commun. Earth Environ. 5, 317 (2024).

    Article  ADS  Google Scholar 

  30. Collins, L. et al. The 2019/2020 mega-fires exposed Australian ecosystems to an unprecedented extent of high-severity fire. Environ. Res. Lett. 16, 044029 (2021).

    Article  Google Scholar 

  31. van der Velde, I. R. et al. Vast CO2 release from Australian fires in 2019–2020 constrained by satellite. Nature 597, 366–369 (2021).

    Article  ADS  PubMed  Google Scholar 

  32. Gunaikurnai Land and Waters Aboriginal Corporation. Gunaikurnai Whole-of-Country Plan https://gunaikurnai.org/wp-content/uploads/2021/07/Gunaikurnai-Whole-of-Country-Plan-ONLINE.pdf (2015).

  33. Buettel, J. et al. (eds.) Fires in GunaiKurnai Country: Landscape Fires and their Impacts on Aboriginal Cultural Heritage Places and Artefacts in Southeastern Australia (Archaeopress Publishing, 2023).

  34. Gardner, P. D. Gippsland Massacres: The Destruction of the Kurnai Tribes, 1800–1860 (Ngarak Press, 2001).

  35. Shillinglaw, J. J. Who Discovered Gippsland? The Gippsland Times (1 September 1874).

  36. National Parks Service and Victoria Department of Natural Resources and Environment (DNRE). Croajingolong National Park Management Plan (Victoria DNRE, 1996).

  37. Parliament of Victoria. National Parks Act 1975 https://www.legislation.vic.gov.au/in-force/acts/national-parks-act-1975/176 (2021).

  38. Australian Department of Energy, Environment and Climate Action (DEECA). Fire history records of fires across Victoria. Data Vic https://discover.data.vic.gov.au/dataset/fire-history-records-of-fires-across-victoria (DEECA, 2025).

  39. Constantine, M. IV & Mooney, S. Widely used charcoal analysis method in paleo studies involving NaOCl results in loss of charcoal formed below 400 °C. Holocene 32, 1358–1362 (2022).

    Article  ADS  Google Scholar 

  40. PAGES 2k Consortium. A global multiproxy database for temperature reconstructions of the Common Era. Sci. Data 4, 170088 (2017).

    Article  Google Scholar 

  41. Crema, E. R. & Shoda, S. A Bayesian approach for fitting and comparing demographic growth models of radiocarbon dates: a case study on the Jomon-Yayoi transition in Kyushu (Japan). PLoS One 16, e0251695 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Ryan, L. et al. Colonial frontier massacres in Australia, 1788–1930. ADA Dataverse https://doi.org/10.26193/L0WEID (2014).

  43. Yoorrook Justice Commission. Yoorrook Truth be Told (Yoorrook Justice Commission, 2025).

  44. O’Kane, M., Kojovic, N., Shanks, M. & Nurse, M. Re-invigorating cultural burning practices in Victoria. J. Anthropol. Soc. S. Aust. 43, 71–93 (2019).

    Google Scholar 

  45. Mustaphi, C. J. C. & Pisaric, M. F. A classification for macroscopic charcoal morphologies found in Holocene lacustrine sediments. Prog. Phys. Geogr. 38, 734–754 (2014).

    Article  Google Scholar 

  46. Graves, B. P. et al. Macro-charcoal accumulation in floodplain wetlands: problems and prospects for reconstruction of fire regimes and environmental conditions. PLoS One 14, e0224011 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. McWethy, D. B. et al. Rapid landscape transformation in South Island, New Zealand, following initial Polynesian settlement. Proc. Natl Acad. Sci. 107, 21343–21348 (2010).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  48. Fletcher, M.-S., Wood, S. W. & Haberle, S. G. A fire-driven shift from forest to non-forest: evidence for alternative stable states?. Ecology 95, 2504–2513 (2014).

    Article  Google Scholar 

  49. Palmer, H. D., Denham, A. J. & Ooi, M. K. J. Fire severity drives variation in post-fire recruitment and residual seed bank size of Acacia species. Plant Ecol. 219, 527–537 (2018).

    Article  Google Scholar 

  50. Montreal Process Implementation Group for Australia and National Forest Inventory Steering Committee. Australia’s State of the Forests Report (ABARES, 2018).

  51. Seppä, H. et al. Calibrated pollen accumulation rates as a basis for quantitative tree biomass reconstructions. Holocene 19, 209–220 (2009).

    Article  ADS  Google Scholar 

  52. Watson, P. J., Bradstock, R. A. & Morris, E. C. Fire frequency influences composition and structure of the shrub layer in an Australian subcoastal temperate grassy woodland. Austral Ecol. 34, 218–232 (2009).

    Article  Google Scholar 

  53. Jiang, M. et al. The fate of carbon in a mature forest under carbon dioxide enrichment. Nature 580, 227–231 (2020).

    Article  ADS  CAS  PubMed  Google Scholar 

  54. Rifai, S. W. et al. Thirty-eight years of CO2 fertilization has outpaced growing aridity to drive greening of Australian woody ecosystems. Biogeosciences 19, 491–515 (2022).

    Article  ADS  CAS  Google Scholar 

  55. Canadell, J. G. et al. Multi-decadal increase of forest burned area in Australia is linked to climate change. Nat. Commun. 12, 6921 (2021).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  56. Vance, T. R., Roberts, J. L., Plummer, C. T., Kiem, A. S. & van Ommen, T. D. Interdecadal Pacific variability and eastern Australian megadroughts over the last millennium. Geophys. Res. Lett. 42, 129–137 (2015).

    Article  ADS  Google Scholar 

  57. Hennebelle, A. et al. The reconstruction of burned area and fire severity using charcoal from boreal lake sediments. Holocene 30, 1400–1409 (2020).

    Article  ADS  Google Scholar 

  58. Lutze, M. T., Trouvé, R., Baker, P. J. & Nitschke, C. R. Severe disturbance sets a lowland mixed-eucalypt forest in south-eastern Australia on a new developmental trajectory. For. Ecol. Manag. 597, 123182 (2025).

    Article  Google Scholar 

  59. Bradshaw, C. J. Little left to lose: deforestation and forest degradation in Australia since European colonization. J. Plant Ecol. 5, 109–120 (2012).

    Article  Google Scholar 

  60. Fletcher, M.-S., Hamilton, R., Dressler, W. & Palmer, L. Indigenous knowledge and the shackles of wilderness. Proc. Natl Acad. Sci. USA 118, e2022218118 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Laming, A. et al. The curse of conservation: empirical evidence demonstrating that changes in land-use legislation drove catastrophic bushfires in southeast Australia. Fire 5, 175 (2022).

    Article  Google Scholar 

  62. Liebmann, M. J. et al. Native American depopulation, reforestation, and fire regimes in the Southwest United States, 1492–1900 CE. Proc. Natl Acad. Sci. USA 113, E696–E704 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  63. Baron, J. N., Gergel, S. E., Hessburg, P. F. & Daniels, L. D. A century of transformation: fire regime transitions from 1919 to 2019 in southeastern British Columbia, Canada. Landsc. Ecol. 37, 2707–2727 (2022).

    Article  Google Scholar 

  64. Green, D. & Minchin, L. Living on climate-changed country: Indigenous health, well-being and climate change in remote Australian communities. EcoHealth 11, 263–272 (2014).

    Article  PubMed  Google Scholar 

  65. Neale, T., Carter, R., Nelson, T. & Bourke, M. Walking together: a decolonising experiment in bushfire management on Dja Dja Wurrung country. Cult. Geogr. 26, 341–359 (2019).

    Article  Google Scholar 

  66. Eriksen, C. & Hankins, D. L. The retention, revival, and subjugation of Indigenous fire knowledge through agency fire fighting in eastern Australia and California. Soc. Nat. Resour. 27, 1288–1303 (2014).

    Article  Google Scholar 

  67. Bowman, D. M. J. S. & Sharples, J. J. Taming the flame, from local to global extreme wildfires. Science 381, 616–619 (2023).

    Article  ADS  CAS  PubMed  Google Scholar 

  68. Townsend, M., Phillips, R. & Aldous, D. “If the land is healthy … it makes the people healthy”: the relationship between caring for Country and health for the Yorta Yorta Nation, Boonwurrung and Bangerang Tribes. Health Place 15, 291–299 (2009).

    Article  PubMed  Google Scholar 

  69. Burgess, C. P., Johnston, F. H., Bowman, D. M. & Whitehead, P. J. Healthy country: healthy people? Exploring the health benefits of Indigenous natural resource management. Aust. N.Z. J. Public Health 29, 117–122 (2005).

    Article  CAS  PubMed  Google Scholar 

  70. Dawson, N. M. et al. Is it just conservation? A typology of Indigenous peoples’ and local communities’ roles in conserving biodiversity. One Earth 7, 1007–1021 (2024).

    Article  Google Scholar 

  71. Legge, S., Rumpff, L., Garnett, S. T. & Woinarski, J. C. Z. Loss of terrestrial biodiversity in Australia: magnitude, causation, and response. Science 381, 622–631 (2023).

    Article  ADS  CAS  PubMed  Google Scholar 

  72. Crema, E. R., Habu, J., Kobayashi, K. & Madella, M. Summed probability distribution of 14C dates suggests regional divergences in the population dynamics of the Jomon period in eastern Japan. PLoS One 11, e0154809 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  73. Appleby, P. G. & Oldfield, F. The calculation of lead-210 dates assuming a constant rate of supply of unsupported 210Pb to the sediment. Catena 5, 1–8 (1978).

    Article  CAS  Google Scholar 

  74. Jull, A. J. T., Burr, G. S. & Hodgins, G. W. L. Radiocarbon dating, reservoir effects, and calibration. Quat. Int. 299, 64–71 (2013).

    Article  Google Scholar 

  75. Philippsen, B. The freshwater reservoir effect in radiocarbon dating. Herit. Sci. 1, 24 (2013).

    Article  Google Scholar 

  76. Hogg, A. G. et al. SHCal20 Southern Hemisphere calibration, 0–55,000 years cal BP. Radiocarbon 62, 759–778 (2020).

    Article  CAS  Google Scholar 

  77. Bronk Ramsey, C. Development of the radiocarbon calibration program, OxCal. Radiocarbon 43, 355–363 (2001).

    Article  Google Scholar 

  78. Lougheed, B. C. & Obrochta, S. P. A rapid, deterministic age-depth modeling routine for geological sequences with inherent depth uncertainty. Paleoceanogr. Paleoclimatol. 34, 122–133 (2019).

    Article  ADS  Google Scholar 

  79. R Core Team. R: A Language and Environment for Statistical Computing https://www.R-project.org/ (R Foundation for Statistical Computing, 2024).

  80. Blaauw, M. et al. rbacon: Age-depth Modelling using Bayesian Statistics https://CRAN.R-project.org/package=rbacon (2023).

  81. Faegri, K. & Iversen, J. The Textbook of Pollen Analysis 4th edn (Blackburn Press, 1989).

  82. Stockmarr, J. Tables with spores used in absolute pollen analysis. Pollen Spores 13, 615–621 (1971).

    Google Scholar 

  83. Australian Department of Energy, Environment and Climate Action (DEECA). Bioregions and EVC Benchmarks https://www.environment.vic.gov.au/biodiversity/bioregions-and-evc-benchmarks (DEECA, 2004).

  84. Grimm, E. CONISS: a FORTRAN 77 program for stratigraphically constrained cluster analysis by the method of incremental sum of squares. Comput. Geosci. 13, 13–35 (1987).

    Article  ADS  Google Scholar 

  85. Grimm, E. C. Tilia v.2.0.2 (Illinois State Museum, 2004).

  86. Juggins, S. rioja: Analysis of quaternary science data. https://CRAN.R-project.org/package=rioja (2016).

  87. Prentice, I. C. Pollen representation, source area, and basin size: toward a unified theory of pollen analysis. Quat. Res. 23, 76–86 (1985).

    Article  Google Scholar 

  88. Sugita, S. Pollen representation of vegetation in Quaternary sediments: theory and method in patchy vegetation. J. Ecol. 82, 881–897 (1994).

    Article  Google Scholar 

  89. Fletcher, M.-S. & Thomas, I. Modern pollen–vegetation relationships in western Tasmania, Australia. Rev. Palaeobot. Palynol. 146, 146–168 (2007).

    Article  Google Scholar 

  90. Sugita, S. Theory of quantitative reconstruction of vegetation I: pollen from large sites REVEALS regional vegetation composition. Holocene 17, 229–241 (2007).

    Article  ADS  Google Scholar 

  91. Theuerkauf, M., Couwenberg, J., Kuparinen, A. & Liebscher, V. A matter of dispersal: REVEALSinR introduces state-of-the-art dispersal models to quantitative vegetation reconstruction. Veg. Hist. Archaeobot.25, 541–553 (2016).

    Article  Google Scholar 

  92. Mariani, M., Connor, S., Theuerkauf, M., Kuneš, P. & Fletcher, M.-S. Testing quantitative pollen dispersal models in animal-pollinated vegetation mosaics: an example from temperate Tasmania, Australia. Quat. Sci. Rev. 154, 214–225 (2016).

    Article  ADS  Google Scholar 

  93. Aufgebauer, A. et al. Climate and environmental change in the Balkans over the last 17 ka recorded in sediments from Lake Prespa (Albania/F.Y.R. of Macedonia/Greece). Quat. Int. 274, 122–135 (2012).

    Article  Google Scholar 

  94. Mazier, F. et al. Testing the effect of site selection and parameter setting on REVEALS-model estimates of plant abundance using the Czech Quaternary Palynological Database. Rev. Palaeobot. Palynol. 187, 38–49 (2012).

    Article  Google Scholar 

  95. Githumbi, E. et al. European pollen-based REVEALS land-cover reconstructions for the Holocene: methodology, mapping and potentials. Earth Syst. Sci. Data 14, 1581–1619 (2022).

    Article  ADS  Google Scholar 

  96. Fyfe, R. M. et al. The Holocene vegetation cover of Britain and Ireland: overcoming problems of scale and discerning patterns of openness. Quat. Sci. Rev. 73, 132–148 (2013).

    Article  ADS  Google Scholar 

  97. Hjelle, K. L., Overland, A., Gran, M. M., Romundset, A. & Ystgaard, I. Two thousand years of landscape–human interactions at a coastal peninsula in Norway revealed through pollen analysis, shoreline reconstruction, and radiocarbon dates from archaeological sites. Front. Ecol. Evol. 10, 911780 (2022).

    Article  Google Scholar 

  98. Hoevers, R., Broothaerts, N. & Verstraeten, G. The potential of REVEALS-based vegetation reconstructions using pollen records from alluvial floodplains. Veg. Hist. Archaeobot. 31, 525–540 (2022).

    Article  Google Scholar 

  99. Trondman, A.-K. et al. Are pollen records from small sites appropriate for REVEALS model-based quantitative reconstructions of past regional vegetation? An empirical test in southern Sweden. Veg. Hist. Archaeobot. 25, 131–151 (2016).

    Article  Google Scholar 

  100. Theuerkauf, M., Couwenberg, J., Kuparinen, A. & Liebscher, V. DISQOVER the Landcover—R based tools for quantitative vegetation reconstruction. In European Geosciences Union (EGU) General Assembly 2016, EPSC2016-9933 (2016).

  101. Li, F. et al. Gridded pollen-based Holocene regional plant cover in temperate and northern subtropical China suitable for climate modelling. Earth Syst. Sci. Data 15, 95–112 (2023).

    Article  ADS  Google Scholar 

  102. Dawson, A. et al. Holocene land cover change in North America: continental trends, regional drivers, and implications for vegetation–atmosphere feedbacks. Clim. Past 21, 2031–2060 (2025).

    Article  Google Scholar 

  103. Whitlock, C. & Larsen, C. Charcoal as a fire proxy. In Tracking Environmental Change Using Lake Sediments Vol. 3 (eds Birks, H. J. B. et al.) 75–97 https://doi.org/10.1007/0-306-47668-1 (Springer, 2001).

  104. Schlachter, K. J. & Horn, S. P. Sample preparation methods and replicability in macroscopic charcoal analysis. J. Paleolimnol. 44, 701–708 (2010).

    Article  ADS  Google Scholar 

  105. Keeley, J. E. Fire intensity, fire severity and burn severity: a brief review and suggested usage. Int. J. Wildland Fire 18, 116–126 (2009).

    Article  Google Scholar 

  106. Cheal, D. Growth Stages and Tolerable Fire Intervals for Victoria’s Native Vegetation Data Sets. Fire and Adaptive Management Report No. 84 (Department of Sustainability and Environment, 2010).

  107. Murramarang Country et al. Quantitative assessment of the effect of agency-led prescribed burns and cultural burns on soil properties in southeastern Australia. Fire 7, 75 (2024).

    Article  Google Scholar 

  108. Kennard, D., Gould, K., Putz, F., Fredericksen, T. & Morales, F. Effect of disturbance intensity on regeneration mechanisms in a tropical dry forest. For. Ecol. Manag. 162, 197–208 (2002).

    Article  Google Scholar 

  109. Wotton, B. M., Gould, J. S., McCaw, W. L., Cheney, N. P. & Taylor, S. W. Flame temperature and residence time of fires in dry eucalypt forest. Int. J. Wildland Fire 21, 270–281 (2012).

    Article  Google Scholar 

  110. Fairman, T. A., Nitschke, C. R. & Bennett, L. T. Too much, too soon? A review of the effects of increasing wildfire frequency on tree mortality and regeneration in temperate eucalypt forests. Int. J. Wildland Fire 25, 831–848 (2016).

    Article  Google Scholar 

  111. Kasel, S., Fairman, T. A. & Nitschke, C. R. Short-interval, high-severity wildfire depletes diversity of both extant vegetation and soil seed banks in fire-tolerant eucalypt forests. Fire 7, 148 (2024).

    Article  Google Scholar 

  112. Antal, M. J. & Grønli, M. The art, science, and technology of charcoal production. Ind. Eng. Chem. Res. 42, 1619–1640 (2003).

    Article  CAS  Google Scholar 

  113. Gosling, W., Cornelissen, H. & McMichael, C. Reconstructing past fire temperatures from ancient charcoal material. Palaeogeogr. Palaeoclimatol. Palaeoecol. 520, 128–137 (2019).

    Article  Google Scholar 

  114. Guo, Y. & Bustin, R. M. FTIR spectroscopy and reflectance of modern charcoals and fungal decayed woods: implications for studies of inertinite in coals. Int. J. Coal Geol. 37, 29–53 (1998).

    Article  CAS  Google Scholar 

  115. Pyle, L. A. et al. Chemical and isotopic thresholds in charring: implications for the interpretation of charcoal mass and isotopic data. Environ. Sci. Technol. 49, 14057–14064 (2015).

    Article  ADS  CAS  PubMed  Google Scholar 

  116. Scott, A. C. & Damblon, F. Charcoal: taphonomy and significance in geology, botany and archaeology. Palaeogeogr. Palaeoclimatol. Palaeoecol. 291, 1–10 (2010).

    Article  Google Scholar 

  117. Maezumi, S. Y. et al. A modern analogue matching approach to characterize fire temperatures and plant species from charcoal. Palaeogeogr. Palaeoclimatol. Palaeoecol. 578, 110580 https://doi.org/10.1016/j.palaeo.2021.110580 (2021).

    Article  Google Scholar 

  118. de Novaes Nascimento, M. et al. Fire in the clouds: how changing land use shaped an Andean biodiversity hotspot. Quat. Sci. Rev. 317, 108278 (2023).

    Article  Google Scholar 

  119. Simpson, G. L. Analogue methods in palaeolimnology. In Tracking Environmental Change Using Lake Sediments Vol. 5 (eds Birks, H. J. B. et al.) 495–522 (Springer, 2012).

  120. Simpson, G., Oksanen, J. & Maechler, M. analogue: Analogue and Weighted Averaging Methods for Palaeoecology https://CRAN.R-project.org/package=analogue (2020).

  121. Nowaczyk, N. R. Logging of magnetic susceptibility. In Tracking Environmental Change Using Lake Sediments Vol. 1 (eds Last, W. M. & Smol, J. P.) 155–170 (Springer, 2001).

  122. Dearing, J. Holocene environmental change from magnetic proxies in lake sediments. In Quaternary Climates, Environments and Magnetism (eds Maher, B. A. & Thompson, R.) 231–278 (Cambridge Univ. Press, 1999).

  123. Reynolds, R., Belnap, J., Reheis, M., Lamothe, P. & Luiszer, F. Aeolian dust in Colorado Plateau soils: nutrient inputs and recent change in source. Proc. Natl Acad. Sci. USA 98, 7123–7127 (2001).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  124. Herbert, A. V. The potential of using magnetic susceptibility to identify past wildfires in Australia. Int. J. Wildland Fire 34, WF24093 (2025).

    Article  CAS  Google Scholar 

  125. Royall, D. Use of mineral magnetic measurements to investigate soil erosion and sediment delivery in a small agricultural catchment in limestone terrain. Catena 46, 15–34 (2001).

    Article  Google Scholar 

  126. Cheng, Y. et al. Indication of paleoecological evidence on the evolution of alpine vegetation productivity and soil erosion in central China since the mid-Holocene. Sci. China Earth Sci. 64, 1774–1783 (2021).

    Article  ADS  Google Scholar 

  127. Park, J., Byrne, R., Böhnel, H., Garza, R. M. & Conserva, M. Holocene climate change and human impact, central Mexico: a record based on maar lake pollen and sediment chemistry. Quat. Sci. Rev. 29, 618–632 (2010).

    Article  ADS  Google Scholar 

  128. Guerrero, B. O., Thompson, R. & Fucugauchi, J. U. Magnetic properties of lake sediments from Lake Chalco, central Mexico, and their palaeoenvironmental implications. J. Quat. Sci. 15, 127–140 (2000).

    Article  Google Scholar 

  129. Killick, R. & Eckley, I. changepoint: An R package for changepoint analysis. J. Stat. Softw. 58, 1–19 (2014).

    Article  Google Scholar 

  130. Jen, T. & Gupta, A. K. On testing homogeneity of variances for gaussian models. J. Stat. Comput. Simul. 27, 155–173 (1987).

    Article  MathSciNet  Google Scholar 

  131. Hinkley, D. V. Inference about the change-point in a sequence of random variables. Biometrika 57, 1–17 (1970).

    Article  MathSciNet  Google Scholar 

  132. Davison, A. C. & Hinkley, D. V. Bootstrap Methods and Their Application (Cambridge Univ. Press, 1997).

  133. Akaike, H. A new look at the statistical model identification. IEEE Trans. Autom. Control 19, 716–723 (1974).

    Article  ADS  MathSciNet  Google Scholar 

  134. Beaulieu, C. & Killick, R. Distinguishing trends and shifts from memory in climate data. J. Clim. 31, 9519–9543 (2018).

    Article  ADS  Google Scholar 

  135. Zhang, N. R. & Siegmund, D. O. A modified Bayes information criterion with applications to the analysis of comparative genomic hybridization data. Biometrics 63, 22–32 (2007).

    Article  ADS  MathSciNet  CAS  PubMed  Google Scholar 

  136. Killick, R., Fearnhead, P. & Eckley, I. A. Optimal detection of changepoints with a linear computational cost. J. Am. Stat. Assoc. 107, 1590–1598 (2012).

    Article  MathSciNet  CAS  Google Scholar 

  137. Killick, R., Beaulieu, C., Taylor, S. & Hullait, H. EnvCpt: detection of structural changes in climate and environment time series. R Package v.1.1.3 https://CRAN.R-project.org/package=EnvCpt (2021).

  138. Australian Department of Energy, Environment and Climate Action (DEECA). Native vegetation—modelled 1750 ecological vegetation classes. Data Vic https://discover.data.vic.gov.au/dataset/native-vegetation-modelled-1750-ecological-vegetation-classes (DEECA, 2026).

  139. Australian Department of Energy, Environment and Climate Action (DEECA). Native vegetation—modelled 2005 ecological vegetation classes (with bioregional conservation status). Data Vic https://discover.data.vic.gov.au/dataset/native-vegetation-modelled-2005-ecological-vegetation-classes-with-bioregional-conservation-sta (DEECA, 2026).

  140. Fletcher, M.-S., Romano, A. & Menéndez, P. Analysis codes for Australia’s current wildfire crisis linked to colonial land-use change. Zenodo https://doi.org/10.5281/zenodo.21402874 (2026).

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