Assessing changes in high-intensity fire events in south-eastern Australia using Fourier Transform Infra-red (FITR) spectroscopy
Rebecca Ryan A * , Zoë Thomas B C , Ivan Simkovic D , Pavel Dlapa D , Martin Worthy E , Robert Wasson E F , Ross Bradstock G , Scott Mooney H , Katharine Haynes G I and Anthony Dosseto A GA
B
C
D
E
F
G
H
I
Abstract
As fire regimes continue to evolve in response to climate change, understanding how fire characteristics have responded to changes in the recent past is vital to inform predictions of future fire events.
Using Fourier Transform Infrared (FTIR) spectroscopy, we assessed how fire intensity has changed in two fire-prone landscapes in south-eastern Australia: (1) the Blue Mountains; and (2) Namadgi National Park during the past 3000 years.
Higher aromatic/aliphatic ratios suggest increased high-intensity fire frequency in sediments at the surface of both cores. Increases in the frequency of extreme drought periods, coupled with the change in vegetation and anthropogenic ignitions following colonisation, could have increased the frequency of high-intensity fires in the past ~200 years.
FTIR spectroscopy can be used in sediment deposits to infer that the frequency of high-intensity fire events has increased in the past 200 years compared to the previous ~3000 years.
These results are important for understanding how past fire regimes have responded to climate, people and vegetation shifts in the past ~3000 years and can be used to inform models for future predictions and management strategies.
Keywords: bushfires, carbon, climate, fire history, fire intensity, FTIR spectroscopy, sediments, Southeastern Australia.
Introduction
The annual cost of fires in Australia alone has been estimated at AUD8.5 billion, or 1.15% of the GDP (Sharples et al. 2016). Beyond the economic costs, fires also result in losses to cultural assets, threaten endangered flora and fauna, increase soil erosion, and reduce air and water quality (Worthy and Wasson 2004; Certini 2005; van der Werf et al. 2017). Fires are controlled by four fundamental factors: (1) fuel production; (2) fuel dryness; (3) fire weather; and (4) ignition sources (Bradstock 2010; Clarke et al. 2020). These have been referred to as the four ‘switches’ of a fire event, and the length of time that each is ‘switched on’ determines the potential for and characteristics of a fire (Bradstock 2010; Clarke et al. 2020). All four of these factors can be influenced by climate change, ultimately altering the fire regime (Pausas and Keeley 2021). Understanding how fire characteristics, such as severity (the degree of consumption of aboveground biomass) and intensity (the energy released and the heat transfer along the fire line during organic matter combustion) (Keeley 2009; McLauchlan et al. 2020), have changed through time could allow for a more systematic evaluation of the impact of fires on ecosystems and improve model predictive capabilities for future events (Whight and Bradstock 1999).
A strong correlation between the El Niño Southern Oscillation (ENSO) index and bushfire activity has been demonstrated for temperate south-eastern Australia (Mariani et al. 2016, 2018). The effects of ENSO occur across all seasons, where El Niño conditions during summer and autumn are more likely to increase the number of fires and burnt area (Mariani et al. 2016). A negative Southern Oscillation Index (SOI) during the winter and spring before the fire season reduces water availability, increasing the likelihood of lightning ignition (Mariani et al. 2016). The strong relationship between ENSO and bushfire activity, including burnt area and the number of fires, has also been demonstrated in Mediterranean Chile, western Mediterranean Australia, and temperate South America (Mariani et al. 2018 and references therein). Strong relationships were also found between the positive phases of the Indian Ocean Dipole (IOD) and the Southern Annular Mode (SAM), especially in the 21st century (Mariani et al. 2018 and references therein). The most recent fires in 2019–2020 were considered unprecedented in the area burned and in severity across south-eastern Australia (Boer et al. 2020; Nolan et al. 2020). Existing predictions suggest that fire occurrences in the southern hemisphere may continue to increase as the strength of these modes continues to rise (Mariani et al. 2018).
Reconstructions of past fire events typically utilise techniques such as palynology, charcoal analysis, dendrochronology and photographic records (Conedera et al. 2009). More recently, satellite data have also been used to determine fire characteristics using various indices such as Normalised Difference Vegetation Index (NDVI) and Normalised Burn Ratio (NBR) (Hammill and Bradstock 2006; Malone et al. 2011; Gibson et al. 2020). However, despite the possible increases in the strength of the various climate modes, many existing reconstructions of fire activity span only short periods (~50 years); therefore, understanding how climate or other drivers might influence the overall fire regime over more extended periods is vital for determining if recent fire events (past 50–100 years) have burned at a higher intensity than has been experienced in the past. This will also improve predictive models of future fire events.
Fourier Transform Infrared (FTIR) spectroscopy has shown promising results in identifying past high-intensity fire events in soils (Simkovic et al. 2008; Lu et al. 2022; Šimkovic et al. 2023) and more recently, charcoal (Gosling et al. 2019; Constantine et al. 2021, 2023a, 2023b; Maezumi et al. 2021) and alluvial and swamp sediment deposits (Ryan et al. 2023; Ryan R, Dosseto A, Dlapa P, Thomas Z, Simkovic I, Mooney S, Bradstock R, unpubl. data). FTIR analyses spectral bands formed at specific wavenumbers when samples are exposed to infrared light, which can be attributed to particular functional groups (Smidt et al. 2005; Beć et al. 2020). Fire events increase the heterogeneity of soil organic matter through the transformation and partial destruction of the original components, resulting in the formation of new compounds (Mastrolonardo et al. 2015). Aliphatic compounds are the first to thermally decompose when exposed to a fire (González-Pérez et al. 2008; Abakumov et al. 2018). Decomposition of these aliphatic bonds typically occurs as temperatures exceed 250°C or with prolonged heating duration (Guo and Bustin 1998; Araya et al. 2017) to form more temperature and decomposition-resistant aromatic compounds (González-Pérez et al. 2008; Mastrolonardo et al. 2015). Due to the recalcitrant nature of these aromatic compounds, they are well preserved in sediment deposits, allowing for long-term reconstructions (El Atfy et al. 2017). This means that a ratio of aromatic/aliphatic peak area highlights the relative decrease in aliphatic compounds and subsequent increase in aromatic compounds. High values of the ratio can be used as a proxy for past high-intensity fire events, such as fires that scorch or consume tree crowns in eucalypt-dominated forests (Hammill and Bradstock 2006; De la Rosa et al. 2018; Ryan et al. 2023). We therefore hypothesise that as fire intensity increases, this will result in more significant increases in the aromatic/aliphatic ratio.
Here, we aimed to assess when and how the frequency of high-intensity fire events has changed during the past ~3000 years in two highly fire-prone landscapes in south-eastern Australia: (1) the Blue Mountains; and (2) Namadgi National Parks. Radiocarbon and Optically Stimulated Luminescence (OSL) dating were used to derive age-depth models. FTIR spectra were used to derive a record of high-intensity fire events, and results were compared against existing palaeoclimate reconstructions to investigate the links between climate variability and fire history. Increasing our understanding of how the fire regime behaved in the past can improve models of fire events to better predict how they may change in the future.
Materialas and methods
Study area
Namadgi National Park was established in 1984 and is approximately 50 km south-west of Canberra, encompassing approximately 46% of the Australian Capital Territory (ACT) (Salmona et al. 2018). It is situated in the southern part of the Lachlan Fold Belt, with elevations between 900 and >1900 m above sea level (m.a.s.l.). It forms the northernmost extent of the Australian Alps (Department of Territory and Municipal Services 2007; Theden-Ringl 2016). Granites dominate along ridges and slopes, whilst Ordovician sediments predominate at lower elevations around the Cotter River and its tributaries (Peat et al. 2005; Nichols et al. 2006). Soils are typically shallow and highly susceptible to erosion once disturbed (Carey et al. 2003). The vegetation of the region is characterised by sclerophyll forest where Eucalyptus species form the canopy and grasses and herbs form a dense understorey, and subalpine woodland (Pryor 1939). Whilst pine plantations in Boboyan were rehabilitated as part of the 1986 Namadgi Plan of Management (National Capital Development Commission 1986), plantations are still present within the Lower Cotter Catchment and are a source of higher sediment loads to catchment tributaries (Daniell and White 2005; Kasel and Bennett 2007; Wade et al. 2013). The temperate climate results in cold winters where snow persists on the higher parts of the ranges, and summers are warm (Nichols et al. 2006; Department of Territory and Municipal Services 2007). An absence of rain and low relative humidity results in favourable conditions for fire spread (Caccamo et al. 2012; Nolan et al. 2016).
There is evidence of the Indigenous occupation of Namadgi National Park for at least the past ~20,000 years (Carey et al. 2003; Salmona et al. 2018; Theden-Ringl et al. 2023). Dendrochronology of snow gum (Eucalyptus pauciflora) trees suggests that before 1830, fires occurred every 25 years; however, between 1830 and 1959, this increased to one fire every 3–4 years (Banks 1989; Zylstra 2006). Due to the short return interval between fire events from 1830 to 1959, it is unlikely that all of these fires were high-intensity bushfires, however the exact intensity is unknown (Banks 1989; Zylstra 2006). Land cover change associated with pastoralism and agricultural practices significantly increased fire frequency during this period (Banks 1989; Zylstra 2006; Salmona et al. 2018). Keaney (2016) also claims that gold miners used fire to clear land. In more recent years, fire management of Namadgi National Park has focused on suppression with some prescribed burning to aid asset protection (Carey et al. 2003). Since British colonisation, major fire events occurred in 1876, 1881, 1892, 1920, 1926, 1939, 2002–2003, and 2019–2020 (Salmona et al. 2018).
The Blue Mountains are ~60 km west of Sydney and are included within the Greater Blue Mountains World Heritage Area (Cunningham 1984; Chapple et al. 2017). The Blue Mountains were designated as a national park in 1959, with later amendments to extend its area (NSW National Parks and Wildlife Service 1998). Rising to ~1300 m a.s.l., the Blue Mountains are characterised by shales, coal measures and sandstones of Permian and Triassic age (Cunningham 1984; Freidman and Fryirs 2015). The soils are thin and sandy (Dragovich and Morris 2002; Keith 2004), and the vegetation consists largely of dry sclerophyll woodland and open forests, where Eucalyptus species dominate. Small patches of tall open forest and wet sclerophyll forest are primarily restricted to gorges (Keith 2004), which also offer some protection from fire events. Annual precipitation is 900–1000 mm, with sleet and occasional snow during winter and strong winds during warm summers (Wilkinson et al. 2005). Like Namadgi, short-term decreases in precipitation and relative humidity can rapidly increase dry fuel connectivity, subsequently increasing the potential for large fire events (Caccamo et al. 2012; Nolan et al. 2016).
Although written history is scarce, it is possible that the Blue Mountains was traditionally burnt at a lower intensity by the Gundungarra people or ignited by lightning. However, more recently, the fire regime has shifted to high-intensity fire events with some prescribed fires for fuel management (Cunningham 1984; Dragovich and Morris 2002; Black et al. 2006). Topography has been a significant barrier to fire management in the Blue Mountains, with large sections of bushland remote or inaccessible for fire-fighting efforts (Cunningham 1984). During the known history, major bushfires and megafires have burnt in the Blue Mountains in 1957, 1968–1969, 1982–1983, 1984–1985, 1993–1994, 1997–1998, 2001–2002, 2002–2003, 2013, and 2019–2020 (Cunningham 1984; Tasker and Hammill 2011; Morgan et al. 2020).
Namadgi National Park and the Blue Mountains both host threatened ecological communities, including Alpine Ash forests and Temperate Highland Peat Swamps on Sandstone (THPSS), respectively (Chalson and Martin 2009; Webb 2011; Doherty et al. 2017; Fryirs et al. 2021). They are also highly fire-prone landscapes. In Namadgi, we focused on sediments accumulated on the floodplain of the Cotter River at the intersection with De Salis Creek (Fig. 1). The site was burnt in the 2002–2003 and 2019–2020 bushfires. Sediments from swamp deposits in Namadgi National Park have shown that fire has been a persistent feature since the formation of the swamps (Hope 2006), whilst sediments from the Cotter River have shown a clear relationship between fire occurrence and climate (Worthy 2013). In the Blue Mountains, we focused on Urella Brook Swamp (UBS-01), one of the THPSS (Fig. 1). The UBS-01 catchment area was burnt in 1982–1983, 1993–1994, 2002–2003 and 2019–2020 bushfires, and a prescribed burn was undertaken in 2015–2016. Existing studies from THPSS have found alternating organic and inorganic bands controlled by catchment stability, rainfall and fire (Fryirs et al. 2014; Mooney et al. 2021). The sedimentation rate in this environment is typically low, highlighting reduced erosion, infrequent or low-severity fires and vegetation stability (Mooney et al. 2021).
Study site locations of the Cotter River (CR-01; yellow circle) in Namadgi National Park (black extent) and Urella Brook Swamp (UBS-01; yellow pentagon) in the Blue Mountains (red extent). Satellite Image: Esri, Maxar, GeoEye, Earthstar Geographics, CNES/Airbus DS, USDA, USGS, AeroGRID, IGN and the GIS User Community Esri, HERE, Garmin, OpenStreetMap contributors and the GIS User Community.
Sample collection
In Namadgi, a 75-mm diameter sediment core was collected at the CR-01 site (35.610396°S, 148.822151°E), reaching 77.5 cm deep. The site of sediment collection was carefully targeted to minimise loss by erosion from the river for a more complete record. The treeline, dominated by dry sclerophyll forest, was located to the west of the site, whilst the river was situated approximately 5 m to the east of the site. The core was split vertically down the middle to produce two identical halves, one of which was subsampled at a resolution of 1 cm for analysis (Supplementary Fig. S1).
In the Blue Mountains, the UBS-01 site (33.6503°S, 150.3920°E) was sampled such that creek lines (situated 2 m south of the site) and channels were avoided to ensure a more complete record. The forest slopes above the site, hypothesised to be one of the primary sediment sources to the swamp, was ~7 m north of the site. The swamp itself was dominated by heath vegetation. A 24-cm deep monolith was collected and split in half vertically. One half of the bulk was subsampled at 1 cm resolution for analysis (Fig. S1).
Age-depth model determination
Four charcoal subsamples were radiocarbon-dated from the CR-01 core. Three charcoal subsamples were isolated using wet-sieving from the sediment from the top (2–3 cm), middle (13–14 cm), and bottom (21–24 cm) of the UBS-01 monolith, along with a seed from 2–3 cm. Accelerator Mass Spectrometry (AMS) was performed at the Chronos 14Carbon-Cycle facility, at the UNSW Sydney. The charcoal subsamples were prepared using an acid-base-acid treatment at 80°C with 1 M HCl and 0.2 M NaOH, following Turney et al. (2021). Due to the size and fragility of the seed subsample, no pre-treatment was applied; instead, it was rinsed with Milli-Q water before being graphitised for analysis. Since chemical pre-treatment of the seed was not possible, it likely represents a minimum age.
For the CR-01 core, in addition to C-14 dating, optically stimulated luminescence (OSL) dating was performed previously by Worthy (2013). Quartz grains between 180 µm and 212 µm were isolated and acid-washed with HCl and HF. Where necessary, heavy minerals were removed using sodium polytungstate. This was followed by HF leaching with a small volume of HCl to avoid calcium fluoride formation. Subsamples were analysed using a Risø TL-DA-15 Min-iSys II at the Australian National University. Single-grain measurements were made using the 532 nm laser, and all signals were detected using an EMI 9235QA PMT filter. The beta dose rate for each subsample was calculated using ICP-MS measurement of U, Th and K content, and the gamma dose rate used was simply twice the measured 2π geometry at the surface of each subsample. The subsample depth was used to calculate the cosmic dose rate contribution using the formulae of Prescott and Hutton (1994). The equivalent dose was calculated with the Analyst software (ver. 3.24), and the minimum age model ages were used in conjunction with the radiocarbon dates for the age-depth model.
The radiocarbon and OSL ages were input into Oxcal 4.4, a Bayesian model employing Markov Chain Monte Carlo simulations (Bronk Ramsey 2009). The ‘P_sequence deposition model’ was used with the charcoal outlier model applied to the charcoal subsamples (Bronk Ramsey 2009). The OSL dates were converted to a format comparable to the radiocarbon ages for incorporation into the model. The year of sampling at 0 cm was input into the model as an upper constraint, and the ‘combine’ function was used at 2–3 cm for the seed and charcoal ages in the UBS-01 core. The ‘SHCal 20’ and ‘Bomb 21 SH12’ calibration curves were used to generate a calendar age-depth model (Hogg et al. 2020; Hua et al. 2021).
FTIR spectroscopy by KBr pressed discs
All subsamples (n = 100) and replicates (n = 5) were analysed for FTIR spectroscopy by KBr pressed discs at Comenius University using a Nicolet 6700 FTIR spectrometer and OMNIC 8 software (Thermo Fisher Scientific). Approximately 1 g of the bulk sediment from each depth was ground to a fine, homogenous powder using a zirconium oxide mill and then dried at 60°C for 24 h. A total of 2 mg of each subsample was combined with 200 mg of KBr and pressed into a pellet. Measurements were conducted in transmission mode across the 4000–400 cm−1 range. Scans (n = 128) were averaged for each subsample at a resolution of 2 cm−1, and the results were reported as absorbance values. The averaged spectra were baseline corrected in Python 3.8 using the ‘arPLS’ method (Baek et al. 2015) in the ‘RamPy’ package (Le Losq 2018). All subsamples produced spectra that were able to be interpreted. The baseline-corrected spectra were analysed for changes in the peak area ratio, determined by taking the area under the curve for aromatic compounds (1750–1500 cm−1) (Keiluweit et al. 2010; Guénon et al. 2013) and aliphatic bonds (3000–2800 cm−1) (Guo and Bustin 1998; Ellerbrock et al. 2005; Lammers et al. 2009) for each subsample. Significant increases in the aromatic/aliphatic ratio were identified as ratio values >2 s.d. from the mean and identified as fire-affected sediments. Since the CR-01 core represents a longer record, a change point analysis, using the ‘ggchangepoint’ package in RStudio (Killick and Eckley 2014), was used to identify key periods of significant change (see Supplementary Fig. S4). The peak area ratio values were then normalised to values between 0 and 1 in RStudio to facilitate comparison between sites.
Elemental analysis
Elemental analysis of carbon (C) was conducted at the Wollongong Isotope Geochronology Laboratory (WIGL) using an Elementar Vario Macro Cube Element Analyser. 50 mg of each subsample was ground to a fine and even powder for analysis. Three phenylalanine standards of different masses were analysed at the start of the sequence to formulate a calibration curve. Two blanks were also analysed prior to the phenylalanine standards and one blank before the samples. A repeat was analysed every four samples (n = 11), and a phenylalanine standard every 10–15 samples to account for drift. Carbon concentrations are reported in weight percent (wt%).
Results
Cotter River
A combination of radiocarbon and OSL dates between depths of 0 and 97 cm for the CR-01 site resulted in 28 ages used in the final age-depth model (Table S1, Fig. S2). This suggests that the CR-01 core covers the past ~3000 years, with the sedimentation rate decreasing with increasing depth (Fig. S3c) and ranging from 0.0175 to 0.192 cm/year.
Aromatic to aliphatic ratios in the CR-01 sediments varied from 3.0 to 14.3. The changepoint analysis identified three regions where peaks were considered, and subsamples with values >10.7 (0–25 cm), >10.0 (25–52 cm), and >8.4 (52–77 cm) were considered fire-affected sediments in the CR-01 site (Fig. 2a). Peaks in the top ~23 cm, corresponding to the past ~200 years in the age-depth model, show the highest peak area ratio values, and the number of years between each of these peaks is shorter compared to the remainder of the core. Carbon content ranges from 0.1 to 9.78 wt%.
Aromatic/aliphatic (A(1750–1500cm−1))/(A(3000–2800cm−1)) peak area ratios for (a) Cotter River (CR-01) and (b) Urella Brook Swamp (UBS-01) as a function of sediment depth (in cm). Blue dotted lines represent the zones used for peak identification values where key periods of change were identified by a change point analysis using the ‘ggchangepoint’ package in RStudio (Killick and Eckley 2014) (see text for details).
Urella Brook Swamp
Four radiocarbon ages were used to generate the final age-depth model for the UBS-01 site (Ryan R, Dosseto A, Dlapa P, Thomas Z, Simkovic I, Mooney S, Bradstock R, unpubl. data) (Table S1, Fig. S2). The UBS-01 site covers the past ~500 years, over which time sedimentation has remained relatively constant (Fig. 3a), ranging from 0.0596 cm/year at the surface of the monolith to 0.0522 cm/year at 22–25 cm depth. The sedimentation rate of the UBS-01 site is slower than that of the CR-01 core.
Aromatic to aliphatic ratios varied from 3.6 to 55.3, which is much higher than the CR-01 site. This is possibly due to the site’s higher organic matter content, shown by the carbon content, which ranges from 6.17 to 40.64 wt%. For most of the core, values were relatively low and constant, averaging ~7.3. For the UBS-01 site, fire-affected sediments were associated with ratio values of >12. Peaks were identified at 0–1, 1–2, 9–10 and 16–17 cm, with values of 50.3, 55.3, 16.7, and 14.8, respectively (Fig. 2b). This corresponds with dates of 2017 (+2/−10) CE, 2011 (+3/−31) CE, 1882 (+84/−101) CE, and 1737 (+157/−121) CE from the model (Ryan R, Dosseto A, Dlapa P, Thomas Z, Simkovic I, Mooney S, Bradstock R, unpubl. data). A small increase in the frequency of high-intensity fire events is also apparent in the UBS-01 site.
Discussion
The aromatic/aliphatic ratio is a proxy for high-intensity fire events, identifying sediments exposed to these conditions. Aliphatic compounds begin thermal decomposition at temperatures >250°C, or as the heating duration increases, to form more condensed, decomposition-resistant aromatic compounds (Vergnoux et al. 2011; Mastrolonardo et al. 2015; Merino et al. 2015; Araya et al. 2017; Abakumov et al. 2018). As fire severity increases in forested catchments, more woody material is burnt, further increasing relative aromatic contributions (Guo and Bustin 1998; Nocentini et al. 2010; Esfandbod et al. 2017). Whilst aromatic C is predominant in the band at 1750–1500 cm−1, there can also be some contributions from bending vibrations of water between phyllosilicate layers (Madejová 2003). However, there is a strong positive correlation between C content and the peak area of aromatic absorption for both sites, with correlation coefficients of 0.656 and 0.909 for CR-01 and UBS-01, respectively, suggesting aromatic C is more dominant in this band (Fig. S5). Therefore, we assume that sediments with high values of the ratio can be used as a proxy for past high-intensity fire events. We also assume that the higher the aromatic/aliphatic ratio values at a given site, the more intense the fire event was. Due to the differences in organic matter content between the two sites, the peak area ratio results were normalised to allow comparison of peak intensity between sites.
The existing fire record derived from remote sensing data spans the past ~65 years for both sites (State Government of NSW and NSW Department of Climate Change, Energy 2010; Hammill et al. 2013); therefore, the sediments collected at each site extend this record by centuries to millennia. Over this period, the most significant change in the frequency of assumed high-intensity events has occurred in the past ~200 years. We propose three possible drivers for the change in fire regimes: climate, people and vegetation.
Climate variability
The sediment sampled from the CR-01 site records the past ~3000 years. Age uncertainties are small for the majority of the core (<200 years); however, age uncertainties increase for ages older than ~2000 years. These age uncertainties are comparable to many of the palaeoclimate records considered here, and therefore interpretations based on these records can be made with a similar degree of confidence. Sediments recording the period between 3000 and 2000 cal year BP in the CR-01 core showed an increased number of years between high-intensity fire events detected by the aromatic/aliphatic ratio compared to the remainder of the core (Fig. 3a). Records from the Kosciuszko region also highlight broad-scale climate instability during this period (Martin 1986; McGowan et al. 2018; Hope et al. 2019). Previously analysed swamp sediments in Namadgi National Park have shown a high charcoal influx, and the chemical signatures identified reduced net primary productivity from 2500 to 2200 cal year BP (Theden-Ringl et al. 2023). These characteristics have been hypothesised to record the start of a series of extreme and prolonged El Niño events (Gagan et al. 2004). Sediments at 67–69 cm depth in the CR-01 core are within error of this period and show a peak in the aromatic/aliphatic ratio, suggesting that the fire events occurring during this period burnt at relatively high intensity. These peaks at 67–69 cm give values of ~9.3–9.7 (normalised values of 0.56–0.60), which is smaller than peaks in the sediments recording more recent fire events, suggesting that, whilst these fires between 2500 and 2200 cal year BP burnt at a high intensity, more recent fire events burnt at higher intensities.
Normalised aromatic/aliphatic (A(1750–1500cm−1))/(A(3000–2800cm−1)) peak area ratios for (a) Cotter River (CR-01) and (b) Urella Brook Swamp (UBS-01) as a function of the modelled sediment deposition age in CE (UBS-01) and CalBP (CR-01), respectively.
A peak in the aromatic/aliphatic ratio is evident in sediments recording ~1800 cal year BP in the CR-01 core. Drier conditions have been suggested during this period (Martin 1986), and fuel dryness is one of the four ‘switches’ controlling fire occurrence (Bradstock 2010; Clarke et al. 2020). If fuels are available and sufficiently dry, this increases the likelihood of fire ignition by both natural (lightning) and anthropogenic sources and fire spread (Flannigan et al. 2000). This could result in the high-intensity fire recorded in the CR-01 core during this period.
Several peaks are also evident in the aromatic/aliphatic ratio of the sediments recording the period from 1650 to 1000 cal year BP in the CR-01 core, particularly around 1200–1000 cal year BP, suggesting increased high-intensity fire frequency in the catchment. This agrees with existing studies of Club Lake in the Snowy Mountains region of Australia, which suggests a warmer period from 1650 to 1000 cal year BP, resulting in an expansion in Eucalyptus sub-alpine woodland and a reduction in alpine species (Thomas et al. 2022). This period also saw increased charcoal, suggesting increased fire activity (Thomas et al. 2022). Following this period, a decline in high-intensity fire events recorded by FTIR is apparent in the CR-01 core, indicated by a reduction in the number of peaks in the aromatic/aliphatic ratio.
The period between ~1500 and 1840 CE corresponds with the occurrence of the Little Ice Age in the Northern Hemisphere. While this cooling did not have as great an impact in the Southern Hemisphere, lower fire frequency has been identified from tree ring reconstructions in the Australian Alps (Zylstra 2006). This was suggested to result from cooler temperatures and a possible reduction in dry lightning ignitions during this period (Zylstra 2006). Furthermore, the East Australian and New Zealand Drought Atlas (ANZDA) identified a spatially consistent wet period from ~1750–1800 CE (Palmer et al. 2023), also suggesting reduced potential for dry lightning and anthropogenic ignitions. The UBS-01 site also records this period from ~1500 to 1840 CE and shows only one high-intensity fire event (Fig. 3b). It is possible that the Australian Alps, including Namadgi National Park, could have experienced a greater extent of cooling than the Blue Mountains due to its higher altitude and latitude. Alternatively, fires may have burned at a lower intensity or in other sections of Namadgi National Park and were not recorded in the FTIR spectra.
For the sediments recording the past 200 years, we have primarily compared changes in the frequency of high-intensity fire events with the ANZDA for past climate information. The ANZDA divides Australia into 54 natural resource management (NRM) clusters (Palmer et al. 2023). The CR-01 site is located in the Murray Basin cluster, where extreme rain events and droughts have become more frequent during the past 200 years (Fig. 4). Prolonged drought events promote fire activity in forested ecosystems by reducing the number of natural barriers to fire spread (Bradstock et al. 2009). Fuels in these environments are typically too moist to burn; however, during a drought, dead fuel moisture decreases rapidly, increasing dry fuel connectivity (Caccamo et al. 2012; Nolan et al. 2016). Live fuels dry more slowly in response to soil moisture content, therefore, more prolonged droughts can further increase available fuel loads (Nolan et al. 2016). This increase in prolonged events could account for the increase in the frequency of high-intensity fires suggested by peaks in the aromatic/aliphatic ratio of the CR-01 core.
(a) Palmer drought severity index (PDSI) values for the Murray Basin natural resource management (NRM) cluster between 1400 and 2012 CE where brown bars represent prolonged drought events and green represents prolonged wet periods events (adapted from Palmer et al. 2023). The dotted line at 1900 CE represents the division between the instrumental and palaeo record (Palmer et al. 2023). The extreme years are highlighted as a bar chart, and the data from these extremes were used to plot a time-varying frequency of extreme occurrences, which is represented by the return intervals (years) (Palmer et al. 2023). (b) The aromatic/aliphatic ratio values for sediments recording between 1400 and 2012 CE in the CR-01 core. Grey bars representprolonged drought events; blue bars represent prolonged wet periods.
The UBS-01 site is located in the East Coast NRM cluster (Fig. 5). The increase in the frequency of extreme climate events in this NRM is less pronounced than in the Murray Basin NRM; however, it is still notable, particularly the drought event in the period ~2000–2010 CE. This increase in drought events is within error of the aromatic/aliphatic ratio peaks corresponding to 2017 (+2/−10) CE and 2011 (+3/−31) CE. Age uncertainties for these depths within the monolith are small. Therefore, confidence in the correlation between these fire events and this drought period is high, and this increase in the frequency of extreme droughts could explain the increased frequency of high-intensity fire events in the past 200 years at both sites.
(a) Palmer drought severity index (PDSI) values for the East Coast natural resource management (NRM) cluster between 1400 and 2012 CE where brown bars represent prolonged drought events and green represents prolonged wet periods events (adapted from Palmer et al. 2023). The extreme years are highlighted as a bar chart, and the data from these extremes were used to plot a time-varying frequency of extreme occurrences, which is represented by the retune intervals (years) (Palmer et al. 2023). The dotted line at 1900 CE represents the division between the instrumental and palaeorecord (Palmer et al. 2023). (b) The aromatic/aliphatic ratio values for sediments recording between 1575 and 2012 CE in the UBS-01 core. Grey bars represent prolonged drought events, and blue represents prolonged wet periods.
People
The recent increased frequency of high-intensity fire events may also be linked to changed land management between pre- and post-colonial periods. Whilst high-intensity fire events are recorded throughout the entire CR-01 core, the peaks corresponding with the past 200 years have the highest values, suggesting an increase in fire intensity. Existing studies show that fine charcoal has been present throughout the entire, however, during the Holocene, snow gum woodlands at higher altitudes were seldom burnt (Hope 2006; Zylstra 2006; Hope et al. 2009). Instead, fires were restricted to the montane forests and lower altitude grasslands and shrublands, with the precise frequency unknown (Theden-Ringl et al. 2023). Following European arrival ~1840 CE, charcoal significantly increased in response to burning to clear land for agriculture and pastoralism (Salmona et al. 2018). This is also seen in dendrochronological records, which suggest that before colonisation major landscape-scale fires occurred approximately every 80 years, however, following European colonisation, fire frequency increased significantly (Banks 1989; Burrows et al. 1995; Zylstra 2006). In ~1935 CE, charcoal decreased to much lower levels as fire suppression for management increased (Hope 2006; Hope et al. 2009).
The older two detected peaks in the UBS-01 site, reflecting fires in 1737 (+157/−121) CE and 1882 (+84/−101) CE, respectively, occurred before and after the colonisation of the Blue Mountains; these older two peaks show a similar aromatic/aliphatic ratio value, suggesting comparable intensity. However, the aromatic/aliphatic ratio values for the most recent detected fires are up to 3× larger than the older two detected fires. This suggests a possible delay in anthropogenic impacts in the Blue Mountains region or the result of the interaction between another driver in conjunction with land management changes. Whilst cultural burning was used for a range of localised activities in the Blue Mountains, these practices may have indirectly modified the occurrence of extreme fire events and vegetation structures (Chalson and Martin 2009; Constantine et al. 2023a). Swamp records from Goochs Crater suggest that climate was a more dominant factor, rather than anthropogenic uses of fire during the past ~14,000 years (Black and Mooney 2006). Recent anthropogenic ignited fires, including arson, prescribed fires that break containment lines and agricultural fires, have more frequently coincided with extreme fire weather (Seydack et al. 2007; Bradstock 2008), such as extended drought periods, as mentioned in the previous section, suggesting the interconnection of these drivers in increasing fire intensity.
Vegetation change
Changes to vegetation composition in response to climate and anthropogenic influence could also contribute to the increased frequency of high-intensity fire events observed at both sites. Existing studies analysing pollen from sediment cores from swamps in the Blue Mountains and Namadgi regions have identified vegetation change throughout the Holocene, the most substantial occurring in the past 100 years following European colonisation (Black et al. 2006; Hope 2006; Hope and Clark 2008; Chalson and Martin 2009). In Namadgi National Park, Hope (2006) found an increase in introduced herbaceous weed species such as cats ear (Hypochaeris radicata), followed by the appearance of Pinus radiata pollen at all swamp sites analysed, marking the early impacts of European pastoralism and agriculture. Eucalypt representation has increased in abundance in the Namadgi region, reducing the prominence of grass (Hope 2006; Hope and Clark 2008). The surface fuels of eucalypt forests are not homogenous, instead, the fuels are stratified with a compact surface layer with a more aerated layer above, which increases fuel continuity and fire spread (Gould et al. 2011). High-severity fires in dry sclerophyll forests result in gaps in canopy cover, encouraging shrub recruitment and reducing the vertical separation between shrubs and the canopy (Barker et al. 2022). This can last up to 30 years post-fire and increase the vertical fuel loads and flame heights of subsequent fire events (McCaw et al. 2008; Gould et al. 2011; Gordon et al. 2017; Barker et al. 2022). Eucalypts also produce highly volatile oils in their leaves, branches, bark and flowers (Guerrero et al. 2021, 2022) which can increase the amount of energy released during combustion (Younes et al. 2024). Terpenes found within the leaves of many eucalypt species have a low flammability limit (meaning that ignition can occur even at low concentrations in the air) and a low flash point (49°C), which further promotes fire spread and increases fire temperatures (Guerrero et al. 2021, 2022; Younes et al. 2024). Therefore, the increase in eucalypt species abundance is a possible cause for the rise in the frequency of high-intensity fire events over the past ~100 years observed in the CR-01 core.
A change in vegetation composition has also been observed in the Blue Mountains. Pollen records from the early to mid-Holocene suggest the reduced presence of Eucalyptus (Chalson and Martin 2009) with the vegetation of an open woodland or heath (Chalson and Martin 2009). Woody vegetation begins to increase in the Blue Mountains ~2000 cal year BP, with an increase in Eucalyptus, Melaleuca and Casuarinaceae (Chalson and Martin 2009). The past 100 years show a decline in Casuarinaceae with increased Pinus, Kunzea, Baeckea and Leptospermum (Black and Mooney 2006; Chalson and Martin 2009). Whilst many trends in vegetation change began before colonisation, it has been hypothesised that European activities encouraged the recruitment of woody taxa and altered fire regimes with higher fuel structures (Chalson and Martin 2009). The peak in aromatic/aliphatic ratio at the surface of the UBS-01 site, possibly corresponding to the 2019–20 bushfire, is up to 3× greater than fires recorded in 1882 (+84/−101) CE and 1737 (+157/−121) CE. This suggests that the expansion of eucalypts combined with the increased human occupation of the Blue Mountains could have resulted in more extreme fire conditions than previously experienced.
Altered vegetation composition in Namadgi and the Blue Mountains following colonisation agrees with existing studies that have found similar changes in Tasmania (Mariani et al. 2022). Coupled with the increased incidence of prolonged drought events (Palmer et al. 2023), this change in vegetation composition increases the landscape’s ability to burn at high intensity.
Conclusion
Applying FTIR spectroscopy to sediment deposits from south-eastern Australia, we provide a ~3000-year record of fire history in the Blue Mountains and Namadgi National Parks. Both sites significantly extend the existing record of past high-intensity fire events by centuries to millennia, showing a dramatic increase in the frequency of high-intensity fires during the past ~200 years. From our results, we hypothesise that the fire regime in both Namadgi National Park and the Blue Mountains arises from the complex interactions between climate, people and vegetation, thus culminating in an increase in the frequency of extreme fire events. At both sites, this increase could be explained by a higher incidence of drought conditions that promote human and lightning ignitions. This, combined with increased woody taxa abundance, could promote more high-intensity fire events. The use of peak area ratios from the FTIR spectra provides an important development in our understanding of how fire intensity has changed in the recent past. This is of particular importance in these threatened ecological communities as high-intensity fire events have a greater impact on ecosystems, increasing the duration of time needed for recovery. For fire agencies, this information can inform future planning for management and fire-fighting efforts under more extreme fire conditions. Whilst additional sites are needed to assess Australia-wide trends, these results suggest that fire frequency and intensity may continue to rise in coming years as climate extremes continue to increase.
Declaration of funding
Funding was provided by ARC Discovery Grant DP200101123. Support from the grant SGA VEGA 1/0703/23 is also appreciated.
Acknowledgements
We acknowledge the Traditional Custodians of the lands on which these samples were collected, the Gundundarra, Dhawura and Ngunnawal peoples. We thank NPWS and ACT Parks and Conservation Service for permitting site access and sample collection. Funding was provided by ARC Discovery Grant DP200101123. Support from the grant SGA VEGA 1/0703/23 is also appreciated. RR acknowledges an APA PhD scholarship and a top-up scholarship from Natural Hazards Research Australia. We also thank Mark Constantine, Shawn Lu, Mark Quoyle, Maame Adowa Maisie, and Xiaohong Zhu for their help in the field.
References
Abakumov E, Maksimova E, Tsibart A (2018) Assessment of postfire soils degradation dynamics: stability and molecular composition of humic acids with use of spectroscopy methods. Land Degradation and Development 29, 2092-2101.
| Crossref | Google Scholar |
Araya SN, Fogel ML, Berhe AA (2017) Thermal alteration of soil organic matter properties: a systematic study to infer response of Sierra Nevada climosequence soils to forest fires. Soil 3, 31-44.
| Crossref | Google Scholar |
Baek S-J, Park A, Ahn Y-J, Choo J (2015) Baseline correction using asymmetrically reweighted penalized least squares smoothing. The Analyst 140, 250-257.
| Crossref | Google Scholar | PubMed |
Barker JW, Price OF, Jenkins ME (2022) High severity fire promotes a more flammable eucalypt forest structure. Austral Ecology 47, 519-529.
| Crossref | Google Scholar |
Beć KB, Grabska J, Bonn GK, Popp M, Huck CW (2020) Principles and applications of vibrational spectroscopic imaging in plant science: a review. Frontiers in Plant Science 11, 1226.
| Crossref | Google Scholar | PubMed |
Black MP, Mooney SD (2006) Holocene fire history from the Greater Blue Mountains World Heritage Area, New South Wales, Australia: the climate, humans and fire nexus. Regional Environmental Change 6, 41-51.
| Crossref | Google Scholar |
Black MP, Mooney SD, Haberle SG (2006) The fire, human and climate nexus in the Sydney Basin, eastern Australia. Holocene 17, 469-480.
| Crossref | Google Scholar |
Boer MM, Resco de Dios VR, Bradstock RA (2020) Unprecedented burn area of Australian mega forest fires. Nature Climate Change 10, 171-172.
| Crossref | Google Scholar |
Bradstock RA (2008) Effects of large fires on biodiversity in south-eastern Australia: disaster or template for diversity? International Journal of Wildland Fire 17, 809-822.
| Crossref | Google Scholar |
Bradstock RA (2010) A biogeographic model of fire regimes in Australia: current and future implications. Global Ecology and Biogeography 19, 145-158.
| Crossref | Google Scholar |
Bradstock RA, Cohn JS, Gill AM, Bedward M, Lucas C (2009) Prediction of the probability of large fires in the Sydney region of south-eastern Australia using fire weather. International Journal of Wildland Fire 18, 932-943.
| Crossref | Google Scholar |
Bronk Ramsey C (2009) Dealing with outliers and offsets in radiocarbon dating. Radiocarbon 51, 1023-1045.
| Crossref | Google Scholar |
Burrows ND, Ward B, Robinson AD (1995) Jarrah forest fire history from stem analysis and anthropological evidence. Australian Forestry 58, 7-16.
| Crossref | Google Scholar |
Caccamo G, Chisholm LA, Bradstock RA, Puotinen ML (2012) Using remotely-sensed fuel connectivity patterns as a tool for fire danger monitoring. Geophysical Research Letters 39, L01302.
| Crossref | Google Scholar |
Certini G (2005) Effects of fire on properties of forest soils: a review. Oecologia 143, 1-10.
| Crossref | Google Scholar | PubMed |
Chalson JM, Martin HA (2009) A Holocene history of the vegetation of the Blue Mountains, New South Wales. Proceedings of the Linnean Society of New South Wales 130, 77-109.
| Google Scholar |
Chapple R, Blignault I, Fitzgerald A (2017) Communicating bushfire risk in the Blue Mountains: a case study of the Fire Stories film. Australian Journal of Emergency Management 32, 58-66.
| Google Scholar |
Clarke H, Penman T, Boer M, Cary GJ, Fontaine JB, Price O, Bradstock R (2020) The proximal drivers of large fires: a pyrogeographic study. Frontiers in Earth Science 8, 90.
| Crossref | Google Scholar |
Conedera M, Tinner W, Neff C, Meurer M, Dickens AF, Krebs P (2009) Reconstructing past fire regimes: methods, applications, and relevance to fire management and conservation. Quaternary Science Reviews 28, 555-576.
| Crossref | Google Scholar |
Constantine IV M, Mooney S, Hibbert B, Marjo C, Bird M, Cohen T, Forbes M, McBeath A, Rich A, Stride J (2021) Using charcoal, ATR FTIR and chemometrics to model the intensity of pyrolysis: exploratory steps towards characterising fire events. Science of The Total Environment 783, 147052.
| Crossref | Google Scholar | PubMed |
Constantine IV M, Williams AN, Francke A, Cadd H, Forbes M, Cohen TJ, Zhu X, Mooney SD (2023a) Exploration of the burning question: a long history of fire in Eastern Australia with and without people. Fire 6, 152.
| Crossref | Google Scholar |
Constantine IV M, Zhu X, Cadd H, Mooney S (2023b) Investigating the effect of oxidants on the quantification and characterization of charcoal in two Southeast Australian sedimentary records. Fire 6, 54.
| Crossref | Google Scholar |
Cunningham CJ (1984) Recurring natural fire hazards: a case study of the Blue Mountains, New South Wales, Australia. Applied Geography 4, 5-27.
| Crossref | Google Scholar |
Daniell T, White I (2005) Bushfires and their Implications for Management of Future Water supplies in the Australian Capital Territory. In ‘Climatic and anthropomorphic impacts of the variability of water resources’, International Seminar, 22–24 November 2005, Maison des Sciences de l’Eau, Montpellier. UNESCO IHP-VI, Technical Documents in Hydrology No. 80. (Eds E Servat, G Mahé) pp. 117–128. (UNESCO: Paris, and HydroSciences: Montpellier)
De la Rosa JM, Merino A, Jiménez Morillo N, Jiménez‐González MA, González‐Pérez J, González‐Vila FJ, Knicker H, Almendros G (2018) Unveiling the effects of fire on soil organic matter by spectroscopic and thermal degradation methods. In ‘Fire Effects on Soil Properties. Current Knowledge and Methods Used’. Chap. 18. pp. 1–36. (CSIRO Publishing: Melbourne, Australia)
Doherty MD, Gill AM, Cary GJ, Austin MP (2017) Seed viability of early maturing alpine ash (Eucalyptus delegatensis subsp. delegatensis) in the Australian Alps, south-eastern Australia, and its implications for management under changing fire regimes. Australian Journal of Botany 65, 517-523.
| Crossref | Google Scholar |
El Atfy H, Havlik P, Krüger PS, Manfroi J, Jasper A, Uhl D (2017) Pre-Quaternary wood decay ‘caught in the act’ by fire–examples of plant-microbe-interactions preserved in charcoal from clastic sediments. Historical Biology 31, 952-961.
| Crossref | Google Scholar |
Ellerbrock R, Gerke HH, Bachmann J, Goebel M-O (2005) Composition of organic matter fractions for explaining wettability of three forest soils. Soil Science Society of America Journal 69, 57-66.
| Crossref | Google Scholar |
Esfandbod M, Merritt CR, Rashti MR, Singh B, Boyd SE, Srivastava P, Brown CL, Butler OM, Kookana RS, Chen C (2017) Role of oxygen-containing functional groups in forest fire-generated and pyrolytic chars for immobilization of copper and nickel. Environmental Pollution 220, 946-954.
| Crossref | Google Scholar | PubMed |
Flannigan MD, Stocks BJ, Wotton BM (2000) Climate change and forest fires. Science of The Total Environment 262, 221-229.
| Crossref | Google Scholar | PubMed |
Freidman BL, Fryirs KA (2015) Rehabilitating upland swamps using environmental histories: a case study of the Blue Mountains peat swamps, Eastern Australia. Geografiska Annaler, Series A: Physical Geography 97, 337-353.
| Crossref | Google Scholar |
Fryirs KA, Cowley KL, Hejl N, Chariton A, Christiansen N, Dudaniec RY, Farebrother W, Hardwick L, Ralph T, Stow A, Hose G (2021) Extent and effect of the 2019-20 Australian bushfires on upland peat swamps in the Blue Mountains, NSW. International Journal of Wildland Fire 30, 294-300.
| Crossref | Google Scholar |
Fryirs K, Freidman B, Williams R, Jacobsen G (2014) Peatlands in eastern Australia? Sedimentology and age structure of Temperate Highland Peat Swamps on Sandstone (THPSS) in the Southern Highlands and Blue Mountains of NSW, Australia. Holocene 24, 1527-1538.
| Crossref | Google Scholar |
Gagan MK, Hendy EJ, Haberle SG, Hantoro WS (2004) Post-glacial evolution of the Indo-Pacific Warm Pool and El Niño-Southern oscillation. Quaternary International 118–119, 127-143.
| Crossref | Google Scholar |
Gibson R, Danaher T, Hehir W, Collins L (2020) A remote sensing approach to mapping fire severity in south-eastern Australia using sentinel 2 and random forest. Remote Sensing of Environment 240, 111702.
| Crossref | Google Scholar |
González-Pérez JA, González-vila FJ, González-vázquez R, Arias ME, Rodríguez J, Knicker H (2008) Use of multiple biogeochemical parameters to monitor the recovery of soils after forest fires. Organic Geochemistry 39, 940-944.
| Crossref | Google Scholar |
Gordon CE, Price OF, Tasker EM, Denham AJ (2017) Acacia shrubs respond positively to high severity wildfire: implications for conservation and fuel hazard management. Science of The Total Environment 575, 858-868.
| Crossref | Google Scholar | PubMed |
Gosling WD, Cornelissen HL, McMichael CNH (2019) Reconstructing past fire temperatures from ancient charcoal material. Palaeogeography, Palaeoclimatology, Palaeoecology 520, 128-137.
| Crossref | Google Scholar |
Gould JS, Lachlan McCaw W, Phillip Cheney N (2011) Quantifying fine fuel dynamics and structure in dry eucalypt forest (Eucalyptus marginata) in Western Australia for fire management. Forest Ecology and Management 262, 531-546.
| Crossref | Google Scholar |
Guénon R, Vennetier M, Dupuy N, Roussos S, Pailler A, Gros R (2013) Trends in recovery of mediterranean soil chemical properties and microbial activities after infrequent and frequent wildfires. Land Degradation and Development 24, 115-128.
| Crossref | Google Scholar |
Guerrero F, Hernández C, Toledo M, Espinoza L, Carrasco Y, Arriagada A, Muñoz A, Taborga L, Bergmann J, Carmona C (2021) Leaf thermal and chemical properties as natural drivers of plant flammability of native and exotic tree species of the valparaíso region, Chile. International Journal of Environmental Research and Public Health 18, 7191.
| Crossref | Google Scholar | PubMed |
Guerrero F, Carmona C, Hernández C, Toledo M, Arriagada A, Espinoza L, Bergmann J, Taborga L, Yáñez K, Carrasco Y, Muñoz AA (2022) Drivers of flammability of Eucalyptus globulus Labill leaves: terpenes, essential oils, and moisture content. Forests 13, 908.
| Crossref | Google Scholar |
Guo Y, Bustin RM (1998) FTIR spectroscopy and reflectance of modern charcoals and fungal decayed woods: implications for studies of inertinite in coals. International Journal of Coal Geology 37, 29-53.
| Crossref | Google Scholar |
Hammill KA, Bradstock RA (2006) Remote sensing of fire severity in the Blue Mountains: influence of vegetation type and inferring fire intensity. International Journal of Wildland Fire 15, 213-226.
| Crossref | Google Scholar |
Hogg AG, Heaton TJ, Hua Q, Palmer JG, Turney CSM, Southon J, Bayliss A, Blackwell PG, Boswijk G, Bronk Ramsey C, Pearson C, Petchey F, Reimer P, Reimer R, Wacker L (2020) SHCal20 Southern Hemisphere Calibration, 0-55,000 Years cal BP. Radiocarbon 62, 759-778.
| Crossref | Google Scholar |
Hope G, Mooney SD, Allen K, Baker P, Keaney B, Martin L, Pearson S, Stevenson J, Zheng X (2019) Science through time: understanding the archive at Rennix Gap Bog, a sub-alpine peatland in Kosciuszko National Park, New South Wales, Australia. Proceedings of the Linnean Society of New South Wales 141, 25-47.
| Google Scholar |
Hua Q, Turnbull JC, Santos GM, Rakowski AZ, Ancapichún S, De Pol-Holz R, Hammer S, Lehman SJ, Levin I, Miller JB, Palmer JG, Turney CSM (2021) Atmospheric radiocarbon for the period 1950–2019. Radiocarbon 64, 723-745.
| Crossref | Google Scholar |
Kasel S, Bennett LT (2007) Land-use history, forest conversion, and soil organic carbon in pine plantations and native forests of south eastern Australia. Geoderma 137, 401-413.
| Crossref | Google Scholar |
Keeley JE (2009) Fire intensity, fire severity and burn severity: a brief review and suggested usage. International Journal of Wildland Fire 18, 116-126.
| Crossref | Google Scholar |
Keiluweit M, Nico PS, Johnson MG, Kleber M (2010) Dynamic molecular structure of plant biomass-derived black carbon (biochar). Environmental Science & Technology 44, 1247-1253.
| Crossref | Google Scholar | PubMed |
Killick R, Eckley IA (2014) changepoint: An R package for changepoint analysis. Journal of Statistical Software 3, 1-19.
| Crossref | Google Scholar |
Lammers K, Arbuckle-Keil G, Dighton J (2009) FT-IR study of the changes in carbohydrate chemistry of three New Jersey pine barrens leaf litters during simulated control burning. Soil Biology and Biochemistry 41, 340-347.
| Crossref | Google Scholar |
Le Losq C (2018) ‘Rampy: a Python library for processing spectroscopic (IR, Raman, XAS.) data.’ (Zenodo) 10.5281/zenodo.1168730
Lu S, Dosseto A, Lemarchand D, Dlapa P, Simkovic I, Bradstock R (2022) Investigating boron isotopes and FTIR as proxies for bushfire severity. Catena 219, 106621.
| Crossref | Google Scholar |
Madejová J (2003) FTIR techniques in clay mineral studies. Vibrational Spectroscopy 31, 1-10.
| Crossref | Google Scholar |
Maezumi SY, Gosling WD, Kirschner J, Chevalier M, Cornelissen HL, Heinecke T, McMichael CNH (2021) A modern analogue matching approach to characterize fire temperatures and plant species from charcoal. Palaeogeography, Palaeoclimatology, Palaeoecology 578, 110580.
| Crossref | Google Scholar |
Malone SL, Kobziar LN, Staudhammer CL, Abd-Elrahman A (2011) Modeling relationships among 217 fires using remote sensing of burn severity in southern pine forests. Remote Sensing 3, 2005-2028.
| Crossref | Google Scholar |
Mariani M, Fletcher MS, Holz A, Nyman P (2016) ENSO controls interannual fire activity in southeast Australia. Geophysical Research Letters 43, 10,891-10,900.
| Crossref | Google Scholar |
Mariani M, Holz A, Veblen TT, Williamson G, Fletcher MS, Bowman DMJS (2018) Climate change amplifications of climate-fire teleconnections in the southern hemisphere. Geophysical Research Letters 45, 5071-5081.
| Crossref | Google Scholar |
Mariani M, Connor SE, Theuerkauf M, Herbert A, Kuneš P, Bowman D, Fletcher MS, Head L, Kershaw AP, Haberle SG, Stevenson J, Adeleye M, Cadd H, Hopf F, Briles C (2022) Disruption of cultural burning promotes shrub encroachment and unprecedented wildfires. Frontiers in Ecology and the Environment 20, 292-300.
| Crossref | Google Scholar |
Martin ARH (1986) Late glacial and holocene alpine pollen diagrams from the Kosciusko National Park, New South Wales, Australia. Review of Palaeobotany and Palynology 47, 367-409.
| Crossref | Google Scholar |
Mastrolonardo G, Francioso O, Foggia M, Di , Bonora S, Forte C, Certini G (2015) Soil pyrogenic organic matter characterisation by spectroscopic analysis: a study on combustion and pyrolysis residues. Journal of Soil and Sediments 15, 769-780.
| Crossref | Google Scholar |
McCaw WL, Gould JS, Cheney NP (2008) Existing fire behaviour models under-predict the rate of spread of summer fires in open jarrah (Eucalyptus marginata) forest. Australian Forestry 71, 16-26.
| Crossref | Google Scholar |
McGowan H, Callow JN, Soderholm J, McGrath G, Campbell M, Zhao JX (2018) Global warming in the context of 2000 years of Australian alpine temperature and snow cover. Scientific Reports 8, 4394.
| Crossref | Google Scholar | PubMed |
McLauchlan KK, Higuera PE, Miesel J, Rogers BM, Schweitzer J, Shuman JK, Tepley AJ, Varner JM, Veblen TT, Adalsteinsson SA, Balch JK, Baker P, Batllori E, Bigio E, Brando P, Cattau M, Chipman ML, Coen J, Crandall R, Daniels L, Enright N, Gross WS, Harvey BJ, Hatten JA, Hermann S, Hewitt RE, Kobziar LN, Landesmann JB, Loranty MM, Maezumi SY, Mearns L, Moritz M, Myers JA, Pausas JG, Pellegrini AFA, Platt WJ, Roozeboom J, Safford H, Santos F, Scheller RM, Sherriff RL, Smith KG, Smith MD, Watts AC (2020) Fire as a fundamental ecological process: research advances and frontiers. Journal of Ecology 108, 2047-2069.
| Crossref | Google Scholar |
Merino A, Chávez-Vergara B, Salgado J, Fonturbel MT, García-Oliva F, Vega JA (2015) Variability in the composition of charred litter generated by wildfire in different ecosystems. Catena 133, 52-63.
| Crossref | Google Scholar |
Mooney S, Martin L, Goff J, Young ARM (2021) Sedimentation and organic content in the mires and other sites of sediment accumulation in the Sydney region, eastern Australia, in the period after the Last Glacial Maximum. Quaternary Science Reviews 272, 107216.
| Crossref | Google Scholar |
Morgan GW, Tolhurst KG, Poynter MW, Cooper N, McGuffog T, Ryan R, Wouters MA, Stephens N, Black P, Sheehan D, Leeson P, Whight S, Davey SM (2020) Prescribed burning in south-eastern Australia: history and future directions. Australian Forestry 83, 4-28.
| Crossref | Google Scholar |
National Capital Development Commission (1986) Report of the House of Representatives Standing Committee on Environment and Conservation: Namadgi Policy Plan. Availale at https://nla.gov.au/nla.obj-1663709304
Nichols S, Norris R, Maher W, Thoms M (2006) Ecological effects of serial impoundment on the Cotter River, Australia. Hydrobiologia 572, 255-273.
| Crossref | Google Scholar |
Nocentini C, Certini G, Knicker H, Francioso O, Rumpel C (2010) Nature and reactivity of charcoal produced and added to soil during wildfire are particle-size dependent. Organic Geochemistry 41, 682-689.
| Crossref | Google Scholar |
Nolan RH, Boer MM, Resco De Dios V, Caccamo G, Bradstock RA (2016) Large-scale, dynamic transformations in fuel moisture drive wildfire activity across southeastern Australia. Geophysical Research Letters 43, 4229-4238.
| Crossref | Google Scholar |
Nolan RH, Boer MM, Collins L, Resco de Dios V, Clarke H, Jenkins M, Kenny B, Bradstock RA (2020) Causes and consequences of eastern Australia’s 2019–20 season of mega-fires. Global Change Biology 26, 1039-1041.
| Crossref | Google Scholar | PubMed |
Palmer JG, Verdon-Kidd D, Allen KJ, Higgins P, Cook BI, Cook ER, Turney CSM, Baker PJ (2023) Drought and deluge: the recurrence of hydroclimate extremes during the past 600 years in eastern Australia’s Natural Resource Management (NRM) clusters. Natural Hazards 120, 3565-3587.
| Crossref | Google Scholar |
Pausas JG, Keeley JE (2021) Wildfires and global change. Frontiers in Ecology and the Environment 19, 387-395.
| Crossref | Google Scholar |
Peat M, Chester H, Norris R (2005) River ecosystem response to bushfire disturbance: interaction with flow regulation. Australian Forestry 68, 153-161.
| Crossref | Google Scholar |
Prescott JR, Hutton JT (1994) Cosmic ray contributions to dose rates for luminescence and ESR dating: large depths and long-term time variations. Radiation Measurements 23, 497-500.
| Crossref | Google Scholar |
Pryor LD (1939) The bush fire problem in the Australian Capital Territory. Australian Forestry 4, 33-38.
| Crossref | Google Scholar |
Ryan R, Dosseto A, Lemarchand D, Dlapa P, Thomas Z, Simkovic I, Bradstock R (2023) Boron isotopes and FTIR spectroscopy to identify past high severity fires. Catena 222, 106887.
| Crossref | Google Scholar |
Salmona J, Dixon KM, Banks SC (2018) The effects of fire history on hollow-bearing tree abundance in montane and subalpine eucalypt forests in southeastern Australia. Forest Ecology and Management 428, 93-103.
| Crossref | Google Scholar |
Seydack AHW, Bekker SJ, Marshall AH (2007) Shrubland fire regime scenarios in the Swartberg Mountain Range, South Africa: implications for fire management. International Journal of Wildland Fire 16, 81-95.
| Crossref | Google Scholar |
Sharples JJ, Cary GJ, Fox-Hughes P, Mooney S, Evans JP, Fletcher MS, Fromm M, Grierson PF, McRae R, Baker P (2016) Natural hazards in Australia: extreme bushfire. Climatic Change 139, 85-99.
| Crossref | Google Scholar |
Simkovic I, Dlapa P, Doerr SH, Mataix-Solera J, Sasinkova V (2008) Thermal destruction of soil water repellency and associated changes to soil organic matter as observed by FTIR spectroscopy. Catena 74, 205-211.
| Crossref | Google Scholar |
Šimkovic I, Dlapa P, Feketeová Z (2023) Application of infrared spectroscopy and thermal analysis in explaining the variability of soil water repellency. Applied Sciences 13, 216.
| Crossref | Google Scholar |
Smidt E, Eckhardt KU, Lechner P, Schulten HR, Leinweber P (2005) Characterization of different decomposition stages of biowaste using FT-IR spectroscopy and pyrolysis-field ionization mass spectrometry. Biodegradation 16, 67-79.
| Crossref | Google Scholar | PubMed |
State Government of NSW NSW Department of Climate Change, Energy, the Environment and Water (2010) NPWS Fire History - Wildfires and Prescribed Burns, accessed from The Sharing and Enabling Environmental Data Portal. Available at https://datasets.seed.nsw.gov.au/dataset/1d05e145-80cb-4275-af9b-327a1536798d
Theden-Ringl F (2016) Aboriginal presence in the high country: new dates from the Namadgi ranges in the Australian Capital Territory. Australian Archaeology 82, 25-42.
| Crossref | Google Scholar |
Theden-Ringl F, Keaney B, Hope GS, Gadd PS, Heijnis H (2023) Landscape change and Indigenous fire use in the Namadgi Ranges in the Australian Alps over 16,000 years. Proceedings of the Linnean Society of New South Wales 145, 75-97.
| Google Scholar |
Thomas ZA, Mooney S, Cadd H, Baker A, Turney C, Schneider L, Hogg A, Haberle S, Green K, Weyrich LS, Pérez V, Moore NE, Zawadzki A, Kelloway SJ, Khan SJ (2022) Late Holocene climate anomaly concurrent with fire activity and ecosystem shifts in the eastern Australian Highlands. Science of The Total Environment 802, 149542.
| Crossref | Google Scholar | PubMed |
Turney C, Becerra-Valdivia L, Sookdeo A, Thomas ZA, Palmer J, Haines HA, Cadd H, Wacker L, Baker A, Andersen MS, Jacobsen G, Meredith K, Chinu K, Bollhalder S, Marjo C (2021) Radiocarbon protocols and first intercomparison results from the Chronos 14Carbon-Cycle Facility, University of New South Wales, Sydney, Australia. Radiocarbon 63, 1003-1023.
| Crossref | Google Scholar |
van der Werf GR, Randerson JT, Giglio L, Van Leeuwen TT, Chen Y, Rogers BM, Mu M, Van Marle MJE, Morton DC, Collatz GJ, Yokelson RJ, Kasibhatla PS (2017) Global fire emissions estimates during 1997-2016. Earth System Science Data 9, 697-720.
| Crossref | Google Scholar |
Vergnoux A, Guiliano M, Di Rocco R, Domeizel M, Théraulaz F, Doumenq P (2011) Quantitative and mid-infrared changes of humic substances from burned soils. Environmental Research 111, 205-214.
| Crossref | Google Scholar | PubMed |
Wade A, White I, Worthy M, Gill AM, Mueller N, Taylor P, Wasson RJ (2013) Land management impacts on water quality following fire in a major water supply catchment. Australian Journal of Water Resources 16, 121-140.
| Crossref | Google Scholar |
Webb B (2011) Impacts of Climate on the Canberra Nature Park: Risks and Responses Report for the ACT Office of the Commissioner for Sustainability and the Environment. ANU Climate Change Institute and Fenner School of Environment and Society, Australian National University, Canberra, Australia. pp. 1–67.
Whight S, Bradstock R (1999) Indices of fire characteristics in sandstone heath near Sydney, Australia. International Journal Of Wildland Fire 9, 145-153.
| Crossref | Google Scholar |
Wilkinson MT, Chappell J, Humphreys GS, Fifield K, Smith B, Hesse P (2005) Soil production in heath and forest, Blue Mountains, Australia: influence of lithology and palaeoclimate. Earth Surface Processes and Landforms 30, 923-934.
| Crossref | Google Scholar |
Worthy M, Wasson RJ (2004) Fire as an agent of geomorphic change in southeastern Australia: implications for water quality in the Australian Capital Territory. Regolith 417–418. Available at http://crcleme.org.au/Pubs/Monographs/regolith2004/Worthy&Wasson.pdf
Younes N, Yebra M, Boer MM, Griebel A, Nolan RH (2024) A review of leaf-level flammability traits in Eucalypt trees. Fire 7, 183.
| Crossref | Google Scholar |
Zylstra P (2006) Fire history of the Australian Alps: Prehistory to 2003. In ‘Australian Alps Liaison Committee: Canberra’. pp. 1–39. Available at https://theaustralianalpsnationalparks.org/the-alps-partnership/publications-and-research/fire-history-of-the-australian-alps-prehistory-to-2003/