Blackout burning in dry conditions increases long-term fire severity risk
Diana Partridge (née Virkki) A * , David Kington B , Paul Williams C and Darren Burns DA
B
C
D
Abstract
We use case studies to explore the impact of changed fire regimes on vegetation structure and fuel risk in Southeast Queensland, Australia. Multiple studies report high intensity wildfires promote excessive shrub and sapling densities, which increase elevated fuel hazard. We argue asset protection burns in dry conditions can cause similar vegetation thickening to an intense wildfire, which increases fire severity risk due to increased elevated fuel loads. We demonstrate regular low intensity burning with adequate soil moisture can achieve fuel reduction objectives. This provides a longer-term solution that promotes risk reduction to communities, whilst leading to better ecological outcomes and reduced cost of implementation over the long-term.
Keywords: eucalypt forest, fire hazard, fire management, fire management: prescribed, fire regimes, fuel, planned burning, vegetation thickening.
Introduction
Changes to land uses in Australia as a result of European settlement largely prevented the continuation of Indigenous cultural burning and frequent, low intensity burning, leading to altered fire regimes (Mariani et al. 2022). This change has caused a loss of open forest structures (Williams et al. 2020; Mariani et al. 2022) and key habitats for species such as eastern bristlebird (Dasyornis brachypterus; Stone et al. 2022) habitat in Southeast Queensland and northern New South Wales. Many areas in Queensland were historically burned by Aboriginal peoples (Fensham 1997), including on Minjerribah (North Stradbroke Island) by the Quandamooka people (Ngugi et al. 2020). The frequent and purposed use of fire limited the severity of wildfire, maintained structure, kept travel ways open, provided a mosaic of burn diversity and facilitated longer unburned places. Changed fire regimes on Minjerribah and other areas in Southeast Queensland has likely influenced the overall vegetation structures and inherent fire risk at a landscape scale (State of Queensland (Department of Environment and Science) 2022). These changed landscape structures likely play a role in the outcomes and impacts of both unplanned and planned fire events.
Recent extreme fire events across the globe have had broad impacts (Wang et al. 2020; Ward et al. 2020; Pivello et al. 2021) and are predicted to become more frequent and more severe (Shi et al. 2021). This has led to calls for an increase in the extent and frequency of prescribed burning to reduce risk (State of Queensland (Inspector-General Emergency Management) 2019; DPC 2020). Land managers often prioritise burning vegetation adjacent to assets (i.e. infrastructure and habitation areas) in programs variously described as Hazard Reduction, Asset Protection or Wildfire Mitigation burning. These patches of vegetation are often considered ‘sacrificial areas’ since the ecological values are secondary to the priority of reducing fuel hazard (Marlow 1994; Rose et al. 1999; Corey et al. 2020). Fire operators often delay burning until fuel and soils are sufficiently dry to ensure a comprehensive burn in these areas to remove all or most of the surface, near surface and elevated fine fuels. This delay in burning (until conditions are dry) may also be perceived as more efficient and less time-consuming than burning under moist, mild conditions, where fires travel more slowly and multiple spot ignitions may require more time to implement. However, whether delaying burning until conditions are dry results in reduced or heightened long-term fuel hazard, has not been adequately evaluated.
We explore various case studies in Southeast Queensland’s open, dry eucalypt-dominated or heathy forest/woodlands representing different fire regimes to discuss the impact of changed fire regimes on vegetation structure and fuel risk.
Materials and methods
Five case studies are presented whereby vegetation plots were surveyed and/or Overall Fuel Hazard (OFH) (sensu Hines et al. 2010) measured. Each vegetation community is allocated to a Regional Ecosystem (RE), which is the basis of Queensland’s vegetation classification system (Neldner et al. 2022). In our case studies, saplings were defined as small single stemmed trees up to 6 m tall. Shrubs are multi-stemmed woody plants, typically up to 6 m tall. The case studies are outlined below with a summary provided in Table 1.
Case study | Location | Fire history | Burn conditions | |
---|---|---|---|---|
1 | Brisbane | Plot 1: | ||
Planned burn (2013) | Low severity/moist soil | |||
Then wildfire (2019) | High severity/dry soil | |||
Plot 2: | ||||
Planned burn (2020) | Low severity/moist soil | |||
2 | Mulgumpin | Frequent planned burning (2–3 year cycle) | Low severity/moist soil | |
Wildfire (2019), previously infrequently burned | High severity/dry soil | |||
3 | Minjerribah | Wildfire (2014) | High severity/dry soil | |
Previous planned burns (recent decades) | High severity/dry soil | |||
Wildfire (2014) | High severity/dry soil | |||
Then planned burn (2018) | Low severity/moist soil | |||
4 | Bauple | Annual planned burn | Low severity/moist soil | |
Triennial planned burn | Low severity/moist soil | |||
5 | Maryborough | 3 × planned burn areas (2020) | Low severity/moist soil | |
Peregian Beach | 3 × planned burn areas (2020) | Low severity/moist soil |
Brisbane long-term vegetation monitoring plots
Two permanently marked and repeatedly surveyed vegetation plots (25 m × 4 m plots) were used to assess wattle (Acacia species) density and fuel response to fires (using Overall Fuel Hazard (OFH; sensu Hines et al. 2010)) in:
Eucalyptus racemosa dominated forest (RE 12.9-10.4), which provides a comparison of wattle recruitment density following a planned burn in mid-2013 and a wildfire in December 2019 (two OFH points);
Corymbia citriodora – Eucalyptus propinqua forest (RE 12.11.5), provides an example of wattle recruitment density following a planned burn in dry conditions in mid-2020 (two OFH points).
Mulgumpin (Moreton Island)
In 2021, four vegetation plots (sensu case study 1) compared frequently burned (2–3 year cycle) areas with a large-scale 2019 wildfire-impacted area that was previously infrequently burned. OFH was measured at the central point of each plot (four total points). Plots were in Eucalyptus racemosa open forest (RE 12.2.6) within adjoining burn blocks.
Minjerribah (North Stradbroke Island)
Overall Fuel Hazard (sensu Hines et al. 2010) monitoring was completed in 2018 and 2022 through random point samples across fire management zones/burn blocks. This was done in areas:
that were impacted by a large-scale, intense wildfire in 2014 (seven points in 2017 and 13 points in 2022). Sites were in various open eucalypt forest including REs 12.2.6, 12.2.5 and 12.2.8;
that were recently (recent decades) managed through hot, dry Asset Protection planned burns behind townships (10 points). Sites were in various open eucalypt forest including REs 12.2.6 and 12.2.5;
post-2014 wildfire area that was burned in a planned burn in 2018 (two points). Site in Eucalyptus pilularis open forest (RE 12.2.8).
Bauple State Forest long-term fire experiment
Five plots with 3 m × 40 m linear transects each were surveyed across treatments of (a) annually burned (since 1952), (b) triennially burned (since 1973), (c) long unburned (since 1946) and (d) wildfire (2006) in previously long unburned. Transect surveys measured vegetation canopy cover (%) and species richness (across a total of 60 transects); and within annual and triennial burn areas, burn patch heterogeneity and proportion burned (%) (across a total of 30 transects). Burn patch heterogeneity included measuring the distance of areas of burned vegetation within each plot and quantifying this using the Shannon–Wiener diversity index. Four transects of 40 m length were placed in each study plot immediately after fires (usually 1–2 weeks), placed at 5, 35, 55 and 95 m along the plot as the planned fires are lit from the plot boundaries. One burn patchiness survey was done at triennial burned plots in 2010 and three were done at annually burned plots in 2010, 2011 and 2012. Proportion of transect burned was calculated from the total transect lengths at each plot. Three OFH measurements were also completed within the wildfire and long unburned plots in 2015 (total 30 OFH survey points). Transects were in Corymbia citriodora mixed open forest (RE 12.9-10.17b).
Unallocated State Land (USL) planned burns
Three hazard reduction burns each were conducted in open eucalypt forest and in heathy woodland in 2020 within Maryborough and Peregian Beach, respectively. Overall Fuel Hazard (sensu Hines et al. 2010) was measured immediately prior to and 2 years post-burns at 4–6 randomly placed survey points per burn block depending on block size. Open eucalypt forests comprised REs 12.5.4, 12.3.12 and 12.3.11. Heathy woodland comprised REs 12.2.9, 12.2.5 and 12.2.5 with 12.2.15 and 12.2.7. All burns in case study 5 were conducted under mild conditions in August – September 2020, representing cool, backing fire burns undertaken with short (5–10 m) strip ignitions burning from the highest elevation to lowest.
Due to low sample sizes, statistical analyses were not completed on most of the datasets. Case study 4 vegetation data was compared among treatments using Kruskal–Wallis tests (P < 0.05) with post hoc analyses using multiple comparisons of mean ranks for all groups.
Results and discussion
The case studies presented highlight patterns in wildfire and planned burn outcomes across various locations in Southeast Queensland. While most of the case studies (excluding case study 4) present site data with limited replication, combined they show a consistent pattern across the Southeast Queensland landscape. The following describes the patterns observed using our data, with a focus on Acacia density due to key patterns that were observed from this genus.
Multiple studies following the 2019–2020 wildfires of eastern Australia found the severe wildfires in dry conditions, combined with wet conditions in the following year, promoted an increase in shrubs and sapling density (Barker et al. 2022; Qin et al. 2022), and therefore elevated fuel loads (Barker et al. 2022).
Our case studies representing wildfires across Southeast Queensland (Brisbane, Mulgumpin, Minjerribah and Bauple) promoted shrub growth, sapling density and elevated fuel thickening (see example: Figs 1 and 2c), dramatically increasing the elevated fuel loads and OFH up to high to extreme (Table 2). For example, in the Brisbane Eucalyptus racemosa forest, a low intensity planned burn under mild conditions in 2013 only stimulated moderate numbers of wattle (Acacia concurrens) seedlings, with their density increasing from three to seven plants in the first year after fire and to 38 in the second year after fire, after which their numbers began to decrease via natural thinning. In contrast, a subsequent high intensity wildfire at the same transect greatly increased wattle recruitment to 799 seedlings. Four years after the wildfire, approximately 539 wattle plants remained, averaging 2.5 m tall, dramatically increasing the elevated fuel density (Fig. 1). The fuel hazard correspondingly increased from moderate in the year after the 2019 wildfire, to extreme hazard by 4 years after wildfire, due to extreme elevated fuel loads (Table 2). Mulgumpin data showed that wildfire impacted areas had an average sapling density of 434.5 ± 42.5 standard error (s.e.), whereas the regularly burned areas adjacent had a density of 31.5 ± 28.5 s.e. In addition, a higher fuel hazard was recorded in the wildfire impacted plots (Table 2). These data confirmed the effect of wildfires in dry conditions promoting excess saplings, especially of wattles, epacrids, eucalypts and bracken fern (Pteridium esculentum), and therefore fuel hazard and bushfire risk.
The cluttering of a Brisbane eucalypt forest through excessive wattle recruitment following a high intensity wildfire. Each of the three graphs represents an aerial view of a single 100 m2 plot in different years, with each dot representing the position of wattle plants, showing (a) the original four Acacia concurrens plants in 2009; (b) wattle density peaked at 38 plants in the second year after a low intensity 2013 burn; (c) approximate spread of 539 wildfire-promoted Acacia concurrens plants across the plot that survived into the fourth year (2023) after a 2019 wildfire.
Differences in (a) proportion burned and (b) burn patch heterogeneity between annual and triennial burn treatments in different seasons (mean ± s.e.) at Bauple State Forest. Graph (c) shows shrub canopy cover within spotted gum woodland at Bauple State Forest with significant differences among fire type (representative of WF = wildfire, PB = prescribed/planned burn, and LU = long unburned) from Kruskal–Wallis tests (P < 0.05), showing mean ± s.e. The dashed line represents the benchmark value for this RE. Where significant differences occurred from post hoc tests, these are shown with lettering (P < 0.05).
Case study | Description | Pre-burn OFH | Post-burn OFH | |
---|---|---|---|---|
1 – Brisbane | (a) Planned burn 2013, then wildfire 2019 (plot 1) | Moderate (2)A | Extreme (2) | |
(b) Planned burn 2020 (plot 2) | Moderate (2) | Moderate (2) | ||
2 – Mulgumpin | Frequently burned (2–3 year cycle) | Moderate (1) | ||
High (1) | ||||
Wildfire 2019 | Very High (2) | |||
3 – Minjerribah | (a) Wildfire 2014 – surveyed 4 years post fire (2018) | High (2) | ||
Very High (4) | ||||
Extreme (1) | ||||
(a) Wildfire 2014 – surveyed 8 years post fire (2022) | Moderate (4) | |||
High (3) | ||||
Very High (6) | ||||
(b) Historical planned burns (dry conditions) – surveyed 2018 | High (3) | |||
Very High (6) | ||||
Extreme (4) | ||||
(b) Historical planned burns (dry conditions) – surveyed 2022 | High (9) | |||
Very High (2) | ||||
(c) Wildfire 2014 then planned burn 2018 | Extreme (2)B | Moderate (2) | ||
4 – Bauple | Wildfire 2006 | Very High (6) | ||
Extreme (9) | ||||
Long unburned since 1946 | Moderate (1) | |||
High (5) | ||||
Very High (5) | ||||
Extreme (4) | ||||
5 – Maryborough open eucalypt forests | Planned burns 2020 | High (9) | Low (11) | |
Very High (6) | Moderate (4) | |||
5 – Peregian Beach heathy woodland | Planned burns 2020 | High (2) | Low (2) | |
Very High (4) | Moderate (8) | |||
Extreme (9) | High (4)C |
High intensity wildfires promote excessive shrubs and saplings through increased topsoil heat penetration that breaks the dormancy of hard seeded species (Bradstock and Myerscough 1981; Walters et al. 2004) and via increased light following canopy damage. This wildfire-promoted elevated fuel load increases the risk of future higher intensity fires, described as a positive feedback loop by Karna et al. (2021). Dense elevated fuel loads reduce the gap between mid-strata and canopy, increasing forest flammability and potentially causing the loss of old canopy trees (Palmer et al. 2018; Williams et al. 2020).
A lack of fuel management post-wildfire in these areas means an increased fire risk which may lead to a promotion of further high-intensity wildfires due to the vegetation structure that is created, i.e. limited ground fuels and dense elevated fuels often requiring dry conditions and wind-driven fires to burn. Post-wildfire areas were also found to have limited surface fuels. While both shrubs and woody saplings were considered together in this study, and those woody saplings are likely to grow out of the elevated fuel layer (no longer forming a dense fuel load), it should be noted that limited reduction in fuel hazard occurred over up to 8 years post-fire, highlighting a long period of increased fuel hazard and potential wildfire risk. A similar process has been recorded across southeast Australia where wildfires promote further wildfire impact (Gordon et al. 2017; Barker et al. 2022). The greater mid-strata shrub and sapling density shades out grasses, making fires under moist, mild conditions more difficult to implement, causing further planned burns to be delayed until conditions are drier (Baker et al. 2021; Williams et al. 2023), thereby contributing to the positive feedback loop. The excessive elevated fuel load following high intensity wildfires therefore increases the longer-term bushfire risk.
The broadscale impacts of the 2019–2020 wildfires across eastern Australia, burning more than 8 million ha of vegetation (Godfree et al. 2021), means that a broad geographic range now has a relatively consistent fuel age and likely vast areas impacted by woody thickening (due to the conditions under which the burns occurred - extreme fire weather). This has implications for the current and future fire risk across the east coast of Australia and specifically in Southeast Queensland, with the potential for further unplanned wildfires to occur across broad geographic regions when conditions allow. This phenomenon has been observed across New South Wales, where areas burned in 2019–2020 impacted by woody thickening have recently been observed to promote large intense wildfires across the state (Field 2024).
(b) Planned burns conducted under dry conditions can also cause woody vegetation thickening and increase fuel hazard over time.
Our case studies provide evidence that planned burns in dry conditions can cause similar excessive sapling densities as severe wildfires. Planned burns under dry conditions measured at two locations (Brisbane and Minjerribah) promoted the recruitment of large numbers of shrubs, including wattles and bracken fern. OFH increased up to extreme by the third or fourth year after fire due to increased shrub or elevated fuel density (Table 2). An assessment of burn patchiness conferred that later season (spring burns) had higher percentage cover and lower burn heterogeneity (Fig. 2a, b).
Shrub and sapling thickening can smother out grasses and herbs, reducing plant diversity (Baker et al. 2020; Williams et al. 2020; Stone et al. 2022). Where grasses have disappeared, the capacity to implement fires under mild and moist conditions is reduced. This is because native grasses, such as kangaroo grass (Themeda triandra), fuel fires that carry under moist conditions. In contrast, forests with only leaf litter and lacking grass cover are difficult to burn until conditions dry further (Williams et al. 2023). Therefore, thickened vegetation can further lead to a hot fire trap, whereby hot, dry planned fires are implemented repetitively over time to continuously reduce the fuel risk in the short term, as previously implemented on Minjerribah. The consequence of this to the land managers is a cost inefficiency in the long-term, through repetitively burning high risk areas whilst not maintaining a low fuel hazard or healthy forest structure and likely impacting on biodiversity values.
Both planned and unplanned fires in areas of extreme elevated fuels or thickened woody vegetation are likely to impact on ecological and cultural values by increasing the flame height and fire intensity, leading to potential impacts on sensitive species, large significant trees and other values. An extensive loss of significant, large trees on Minjerribah has been observed in areas of wildfire impact over recent decades, including eucalypts and culturally significant cypress pines (Kington et al. 2016). The implementation of planned burns under dry conditions with increased elevated fuels are also a higher risk due to the increased flame heights and intensity, making the burns more difficult to control.
(c) Frequent, low intensity burning maintains healthy, open forest structures and reduces fuel hazard.
All case studies across Southeast Queensland showed that low intensity burns did not promote excessive regrowth (i.e. Fig. 1b) and maintained lower OFH (primarily low-moderate) for up to 4-years post-burn (Table 2). Sapling density was consistently lower in frequent, low intensity burn areas compared to wildfire impacted areas. This was evidenced even when patchy burns were implemented such as those at the frequently burned (1–3 years) Bauple experimental sites. A low intensity planned burn in Brisbane eucalypt forest thinned the number of pre-existing wattles (from 16 to 7 by 4 years after) with only moderate wattle recruitment. The average height of wattles dropped from 2.2 m prior to the burn, to 0.71 m 3 years after fire, thereby reducing the elevated fuel height. This highlights the ecologically beneficial result of a mild fire in restoring an open forest structure. This matches other studies highlighting the benefits of low intensity burning (e.g. McKemey et al. 2019, 2021; Ngugi et al. 2020; Radford et al. 2020).
Excessive elevated fuel loads can be avoided through regular low intensity prescribed burning with good soil moisture. Frequent, low intensity burning is akin to historical land management practices of Aboriginal peoples (McKemey et al. 2019; Greenwood et al. 2022) including those of the Quandamooka peoples of Minjerribah and Mulgumpin (Ngugi et al. 2020), and therefore likely similar to the needs of Southeast Queensland’s cultural and ecological landscapes. In open, dry eucalypt forests and heathy woodlands, frequent burning is recommended to both maintain lower fuel hazards as well as healthy, open forest systems with healthy grass and forb layers (State of Queensland (Department of Environment and Science) 2022; Williams et al. 2023). Whether elevated fuel thickening can be reversed requires further detailed assessments, however the following section touches on preliminary findings from one case study.
(d) Low intensity, patchy burning in woody thickened, extreme fuel hazard systems (i.e. previous wildfire impact) can reduce fuel hazard and re-open forest structures.
An important question the results of the case studies’ pose is: ‘how do land managers deal with post-wildfire landscapes or areas with woody thickening?’. A trial low intensity planned burn in a wildfire-impacted area on Minjerribah (transect 3c) reduced post-fire regrowth (measured 3 years after wildfire) from extreme OFH to moderate (measured 4 years after the planned burn) (Table 2). This burn began to re-instate open forest structures and reduce recurring fuel risk. Keenan et al. (2021) highlights that mechanical thinning in combination with fire could be a successful tool to reduce fuel loads and fire hazard in eucalypt forests.
Recently, burning has been used in combination with mechanical thinning on Minjerribah and Russell Island. Burning in wildfire-impacted areas is recommended to be done with thorough consideration and management of conditions to ensure sufficient soil moisture is present and conditions will thereby allow for a small, patchy, low intensity fires. This should be done before woody vegetation is too tall to manage through burning, i.e. 1–4 years post-fire, and with consideration of combining mechanical thinning to break up sections or alter fuel structure for burning. However, where thickening inhibits low intensity fire, a burn in dry conditions may be the only option. This would require follow up of subsequent burns conducted that are more favourable to grasses. While grasses and sparse shrubs persist, managing for these by use of frequent low intensity burning while there is good soil moisture is ideal.
Conclusion
The hot fire trap caused by woody thickening promotes excessive elevated fuel making it difficult to break up fuel continuity and manage forest structure, necessitating delays in burning until fuel is particularly dry and flammable. Hazard reduction burns in dry conditions promote excessive woody seedlings which can grow into a dense elevated fuel load. This increases future fire severity risk adjacent to assets, requiring further burning under dry conditions, that puts the environment, large trees and assets at risk. In a changing climate, where bushfires are predicted to be more frequent and of higher intensity, this outcome is not sustainable.
Low intensity, patchy mosaic burning while the remains good soil moisture, every 1–4 years, is recommended in open, dry eucalypt communities in Southeast Queensland to restore vegetation condition. Burning at this frequency would mean generally the patches of fuel that are a few years old would burn and therefore different patches of vegetation would burn at various intervals, allowing for mosaics of fire intervals required for appropriate landscape scale fire management that promotes biodiversity (i.e. Wills et al. 2020; Partridge et al. 2023). Overabundant native saplings would be reduced, including wattles and eucalypts, recognised as an indicator of unhealthy subtropical eucalypt forests (Williams et al. 2020; Melzer and Hines 2022).
Our experience is that very frequent burning can be carried out even when it is a bit dry without detrimental impacts on kangaroo grass, whereas allowing 4 years and above between fires increases the surface fuel, thereby increasing fire intensity and impacting grass clumps. This also increasing blady grass (Imperata cylindrica) and bracken fern, which regenerate via rhizomes, to the detriment of kangaroo grass. Under the current recommendations of 4–6 years (and often 4–25 years), it has been observed that kangaroo grass dominated open forest shifts to a blady grass dominated understorey. This builds and carries higher fuel loads more rapidly, subsequently worsening the surface/near surface fuel hazard, and also stimulates thickening and allows time for excess establishment of resprouters. Healthy open forest with a kangaroo grass dominated ground layer presents an ideal risk management option for asset mitigation and protection of ecological and cultural values. This will lower fire risk to the communities, produce better ecological outcomes and reduce the cost of implementation over the long-term. In addition, frequently burned areas are more resilient to extreme fire events, limiting woody thickening post-wildfire in those areas (Williams et al. 2022).
The initial implementation costs of applying low intensity, slow moving prescribed burns is higher; however, the long-term outcome is a more sustainable approach that reduces longer-term fire hazard. To achieve this, land managers must be nimble, carrying out burning that is adjusted to conditions and changing seasonality. Using a triage approach to prioritise healthy country will facilitate cost effective management where land managers work backwards from healthy areas aiming to return forests to a lower fuel risk and healthier vegetation profile. This study is a preliminary exploration of the influence of fire regimes on woody vegetation thickening with a focus on Acacia species, and therefore further research is required to better quantify the influence of fire regimes on woody thickening and forest condition in eucalypt forests as well as best practice management outcomes.
Data availability
The data that support this study will be shared upon reasonable request to the corresponding author.
Declaration of funding
Case Study 1 was supported by funding from the Brisbane City Council including 16 years of monitoring. Case Study 5 was supported by funding from Griffith University through the Research Higher Degree Grant. Funding from the Queensland Department of Environment and Science/Queensland Parks and Wildfire Service & Partnerships, Healthy Land and Water and the Quandamooka Yoolooburrabee Aboriginal Corporation supported project works and data collection for Case Studies 2 and 3.
Acknowledgements
We acknowledge and thank our key partners and contributors: Quandamooka Aboriginal Land and Sea Management Agency, Quandamooka Yoolooburrabee Aboriginal Corporation, Brisbane City Council and their staff for contribution to data collection and interpretation, Department of Resources, Department of Forestry, Queensland Parks and Wildlife Service & Partnerships, Department of Environment and Science, Butchulla Land and Sea Rangers, Sunshine Coast Council, Noosa Shire Council, Fraser Coast Regional Council and Griffith University. Special thanks to Georgia Glidden at Healthy Land and Water for creating the infographic. We thank the International Association of Wildland Fire for allowing us to present at Fire and Climate 2022 and the anonymous reviewers for improving this manuscript.
References
Baker AG, Catterall C, Benkendorff K, Fensham RJ (2020) Rainforest expansion reduces understorey plant diversity and density in open forest of eastern Australia. Austral Ecology 45, 557-571.
| Crossref | Google Scholar |
Baker A, Catterall C, Benkendorff K (2021) Invading rainforest pioneers initiate positive fire‐suppression feedbacks that reinforce shifts from open to closed forest in Eastern Australia. Journal of Vegetation Science 32, e13102.
| Crossref | Google Scholar |
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 |
Bradstock RA, Myerscough PJ (1981) Fire effects on seed release and the emergence and establishment of seedlings in Banksia ericifolia. L.f. Australian Journal of Botany 29, 521-531.
| Crossref | Google Scholar |
Corey B, Andersen AN, Legge S, Woinarski JC, Radford IJ, Perry JJ (2020) Better biodiversity accounting is needed to prevent bioperversity and maximize co-benefits from savanna burning. Conservation Letters 13, e12685.
| Crossref | Google Scholar |
Department of Premier and Cabinet (DPC) (2020) Final Report of the NSW Bushfire Inquiry, Department of Primary and Cabinet, NSW. Available at https://www.nsw.gov.au/sites/default/files/noindex/2023-06/Final-Report-of-the-NSW-Bushfire-Inquiry.pdf
Fensham RJ (1997) Aboriginal fire regimes in Queensland, Australia: analysis of the explorers’ record. Journal of Biogeography 24, 11-22.
| Crossref | Google Scholar |
Godfree RC, Knerr N, Encinas-Viso F, Albrecht D, Bush D, Christine Cargill D, Clements M, Gueidan C, Guja LK, Harwood T, Joseph L, Lepschi B, Nargar K, Schmidt-Lebuhn A, Broadhurst LM (2021) Implications of the 2019–2020 megafires for the biogeography and conservation of Australian vegetation. Nature Communications 12, 1023.
| Crossref | Google Scholar | PubMed |
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 |
Greenwood L, Bliege Bird R, Nimmo D (2022) Indigenous burning shapes the structure of visible and invisible fire mosaics. Landscape Ecology 37, 811-827.
| Crossref | Google Scholar |
Karna YK, Penman TD, Aponte C, Gutekunst C, Bennett LT (2021) Indications of positive feedbacks to flammability through fuel structure after high-severity fire in temperate eucalypt forests. International Journal of Wildland Fire 30, 664-679.
| Crossref | Google Scholar |
Keenan RJ, Weston CJ, Volkova L (2021) Potential for forest thinning to reduce risk and increase resilience to wildfire in Australian temperate Eucalyptus forests. Current Opinion in Environmental Science & Health 23, 100280.
| Crossref | Google Scholar |
Kington D, Williams P, Collins E, Burns D, Bulley G (2016) ‘Fire management strategy for the Indigenous Joint Management Areas (IJMAs) on North Stradbroke Island and Peel Island. Version 1.’ (Queensland Parks and Wildlife Service, Department of National Parks, Recreation, Sport and Racing: Brisbane)
Mariani M, Connor SE, Theuerkauf M, Herbert A, Kuneš P, Bowman D, Fletcher M-S, 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 |
Marlow D (1994) The Integrated Fire Management Plan for Bribie Island. Document Number: ARU/1994/30, Bribie Island, Queensland. Available at https://parksleisure.com.au/wp-content/uploads/parc-library/935-0-Bribie%20fire%20plan.pdf
McKemey MB, Patterson M(L), Banbai Rangers, Ens EJ, Reid NCH, Hunter JT, Costello O, Ridges M, Miller C (2019) Cross-cultural monitoring of a cultural keystone species informs revival of Indigenous burning of country in south-eastern Australia. Human Ecology 47, 893-904.
| Crossref | Google Scholar |
McKemey M, Patterson ML, Hunter J, Ridges M, Ens E, Miller C, Costello O, Reid N (2021) Indigenous cultural burning had less impact than wildfire on the threatened Backwater grevillea (Grevillea scortechinii subsp. sarmentosa) while effectively decreasing fuel loads. International Journal of Wildland Fire 30(10), 745-756.
| Crossref | Google Scholar |
Neldner VJ, Wilson BA, Dillewaard HA, Ryan TS, Butler DW, McDonald WJF, Richter D, Addicott EP, Appelman CN (2022) ‘Methodology for survey and mapping of regional ecosystems and vegetation communities in Queensland. Version 6.0. Updated April 2022.’ (Queensland Herbarium, Queensland Department of Environment and Science: Brisbane)
Ngugi MR, Knight J, Hua Q, Dowling R, Kington D, Burns D (2020) Ageing culturally significant relic trees in southeast Queensland to support bushfire management strategies. Ecological Management & Restoration 21, 147-150.
| Crossref | Google Scholar |
Palmer HD, Denham AJ, Ooi MK (2018) Fire severity drives variation in post-fire recruitment and residual seed bank size of Acacia species. Plant Ecology 219, 527-537.
| Crossref | Google Scholar |
Partridge D, Lewis T, Tran C, Castley JG (2023) Fire and habitat variables explain reptile community abundance and richness in subtropical open eucalypt forests. International Journal of Wildland Fire 32(7), 1089-1108.
| Crossref | Google Scholar |
Pivello VR, Vieira I, Christianini AV, Ribeiro DB, da Silva Menezes L, Berlinck CN, Melo FPL, Marengo JA, Tornquist CG, Tomas WM, Overbeck GE (2021) Understanding Brazil’s catastrophic fires: Causes, consequences and policy needed to prevent future tragedies. Perspectives in Ecology and Conservation 19(3), 233-255.
| Crossref | Google Scholar |
Qin Y, Xiao X, Wigneron J-P, Ciais P, Canadell JG, Brandt M, Li X, Fan L, Wu X, Tang H, Dubayah R, Doughty R, Crowell S, Zheng B, Moore B (2022) Large loss and rapid recovery of vegetation cover and aboveground biomass over forest areas in Australia during 2019–2020. Remote Sensing of Environment 278, 113087.
| Crossref | Google Scholar |
Wunambal Gaambera Aboriginal Corporation, Radford IJ, Woolley LA, Corey B, Vigilante T, Hatherley E, Fairman R, Carnes K, Start AN, Wunambal Gaambera Aboriginal Corporation (2020) Prescribed burning benefits threatened mammals in northern Australia. Biodiversity Conservation 29, 2985-3007.
| Crossref | Google Scholar |
Rose R, Wiltshire G, Lang S (1999) The importance and application of spatial patterns in the management of fire regimes for the protection of life and property and conservation of biodiversity. In ‘Proceedings of the Australian Bushfire Conference - Bushfire ‘99’’, Charles Sturt University, Albury, NSW. pp. 349–358.
Shi G, Yan H, Zhang W, Dodson J, Heijnis H, Burrows M (2021) Rapid warming has resulted in more wildfires in northeastern Australia. Science of The Total Environment 771, 144888.
| Crossref | Google Scholar |
State of Queensland (Inspector-General Emergency Management) (2019) The 2018 Queensland Bushfires Review. Inspector-General Emergency Management, Brisbane, Queensland. Available at https://www.igem.qld.gov.au/sites/default/files/2019-12/IGEM%20Queensland%20Bushfire%20REVIEW%202019.pdf
Stone ZL, Maron M, Tasker L (2022) Reduced fire frequency over three decades hastens loss of the grassy forest habitat of an endangered songbird. Biological Conservation 270, 109570.
| Crossref | Google Scholar |
Walters M, Midgley JJ, Somers MJ (2004) Effects of fire and fire intensity on the germination and establishment of Acacia karroo, Acacia nilotica, Acacia luederitzii and Dichrostachys cinerea in the field. BMC Ecology 4, 3.
| Crossref | Google Scholar | PubMed |
Ward M, Tulloch AIT, Radford JQ, Williams BA, Reside AE, Macdonald SL, Mayfield HJ, Maron M, Possingham HP, Vine SJ, O’Connor JL, Massingham EJ, Greenville AC, Woinarski JCZ, Garnett ST, Lintermans M, Scheele BC, Carwardine J, Nimmo DG, Lindenmayer DB, Kooyman RM, Simmonds JS, Sonter LJ, Watson JEM (2020) Impact of 2019–2020 mega-fires on Australian fauna habitat. Nature Ecology & Evolution 4(10), 1321-1326.
| Crossref | Google Scholar |
Wang X, Studens K, Parisien M-A, Taylor SW, Candau J-N, Boulanger Y, Flannigan MD (2020) Projected changes in fire size from daily spread potential in Canada over the 21st century. Environmental Research Letters 15(10), 104048.
| Crossref | Google Scholar |
Williams P, Kington D, Collins E (2020) Vegetation change over 50 years in eucalypt forest on north Stradbroke Island. Proceedings of the Royal Society of Queensland 128, 49-58.
| Crossref | Google Scholar |
Williams P, Watson P, Kington D, Collins E (2022) Frequently burnt subtropical eucalypt forest Is more resilient to wildfire than rarely burnt forest. Proceedings of the Royal Society of Queensland 131, 51-61.
| Crossref | Google Scholar |
Williams P, Kington D, Collins E, Watson P (2023) Kangaroo grass is a keystone species for ecological fire management. Austral Ecology 48, 476-477.
| Crossref | Google Scholar |
Wills AJ, Liddelow G, Tunsell V (2020) Wildfire and fire mosaic effects on bird species richness and community composition in south-western Australia. Fire Ecology 16, 5.
| Crossref | Google Scholar |