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WF23128Resurfacing of underground peat fire: smouldering transition to flaming wildfire on litter surface
Smouldering peat fires can survive underground for months, and may re-emerge and start a flame above ground when the dry and hot season arrives. This work demonstrates that the resurfacing of underground peat fire can ignite a flame on the surface litter layer and increase wildfire hazards. Photograph by Yichao Zhang et al.
Fire frequency is increasing with climate change in south-eastern Australia. We predicted that hollow-bearing trees will decline in forests where frequent fires co-occur with high rates at which trees collapse or are removed (e.g. due to frequent planned burns or timber harvesting) and/or where there are not a sufficient number of suitable mature trees in which new hollows can be excavated by fire (e.g. where tree regeneration is inhibited).
WF23098Spatial and temporal opportunities for forest resilience promoted by burn severity attenuation across a productivity gradient in north western Patagonia
Burn severity is critical to understand fire dynamics. We mapped and modelled burn severity as a function of biophysical variables. Low severity was rare and occurred in small fires during cool and wet summer conditions in areas with sparser fuels or in more productive environments with discontinuous wet fuels.
WF23133Ingesting GOES-16 fire radiative power retrievals into Warn-on-Forecast System for Smoke (WoFS-Smoke)
This work used high frequency satellite derived wildfire properties to improve short-term (0–6 h) forecasts of smoke plumes. Results show that ingesting high frequency data significantly improves wildfire smoke forecasts compared to current operational systems.
WF23042BARA: cellular automata simulation of multidimensional smouldering in peat with horizontally varying moisture contents
This paper presents a cellular automaton to simulate multidimensional spread of smouldering peat with horizontally varying moisture. The model accurately predicted laboratory experiments (below 20% error) on the spread of smouldering under non-uniform moisture conditions and reproduced complex phenomena such as diagonal spread and encirclement of wet peat.
WF23127Field-based generic empirical flame length–fireline intensity relationships for wildland surface fires
We developed empirical relationships linking fireline intensity and flame length, based on a compilation of data collected in field head fires, conducted worldwide in forest, shrubland and grassland. Two relationships emerged, respectively for forest and shrublands and for grasslands, and were deemed suitable for scientific and operational application.
This research expands on previous work exploring the decision making of US Forest Service wildfire managers, using social science methods to elucidate the factors that help drive their decisions to suppress or manage wildfires. We found a complex network of factors that show increasing ambiguity in the wildfire decision environment.
WF23124Forest fire progress monitoring using dual-polarisation Synthetic Aperture Radar (SAR) images combined with multi-scale segmentation and unsupervised classification
This paper describes a method to monitor forest fire progress using dual-polarisation Synthetic Aperture Radar (SAR) images combined with multi-scale segmentation and unsupervised classification. We aimed to take full advantage of the many different dimensions of feature parameter changes caused by forest fires, relying on time-series dual-polarised SAR imagery to achieve burned area extraction and forest fire progress monitoring.
WF23078Accounting for among-sampler variability improves confidence in fuel moisture content field measurements
Citizen science provides an important opportunity for the wildfire community, enabling data collection at broad spatio-temporal scales. Direct fuel moisture measurement campaigns can maximise these benefits by accounting for natural differences in measurements between individuals. We quantify the magnitude and variability of differences during an intensive fuel moisture measurement campaign.
WF23044LEF-YOLO: a lightweight method for intelligent detection of four extreme wildfires based on the YOLO framework
We tested a lightweight architecture called LEF-YOLO for detecting four extreme wildfires. We found improved detection accuracy through multi-scale fusion and attention mechanism, and constructed four extreme wildfire datasets and compared these with multiple object detection models and lightweight feature extraction networks. This method is beneficial for the development of extreme wildfire field robots.
WF23096Phosphorus chemistry in plant charcoal: interplay between biomass composition and thermal condition
Soil phosphorus (P) availability in natural ecosystems relies on the returning of P in plant biomass. This study shows how fire conditions and plant species and their parts interact in determining the physical and chemical forms and solubility of P that control its post-fire cycling in the environment.
WFv32n12tocTable of Contents
WF23020The role of people, parks and precipitation on the frequency and timing of fires in a sub-Saharan savanna ecosystem
This study analyses fire regimes in Zambia’s South Luangwa National Park and Lupande Game Management Area. It examines the influence of climate and human activities on burned areas. Findings show differences in burned areas and highlight the significance of soil moisture and rainfall in shaping fire regimes in African savannas.
This paper explores the relationships between the major forces influencing Australian weather and climate, and the chance of severe fire seasons. The findings could be valuable in decision making and preparation for upcoming fire seasons to avoid more seasons with devastating outcomes such as the 2019–2020 Black Summer.
This article belongs to the Collection Fire and Climate.
These articles have been peer reviewed and accepted for publication. They are still in production and have not been edited, so may differ from the final published form.
An escape route planning model based on wildfire prediction information and travel rate of firefighters
Australian Fire Danger Rating System: Implementing fire behaviour calculations to forecast fire danger in a Research Prototype
Assessing wildfire risk to critical infrastructure in central Chile: application to an electrical substation
Pyros: a raster-vector spatial simulation model for predicting wildland surface fire spread and growth
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Field-based generic empirical flame length–fireline intensity relationships for wildland surface firesInternational Journal of Wildland Fire 33 (1)
An improved spatio-temporal clustering method for extracting fire footprints based on MCD64A1 in the Daxing’anling Area of north-eastern ChinaInternational Journal of Wildland Fire 32 (5)
Wind vector change and fire weather index in New Zealand as a modified metric in evaluating fire dangerInternational Journal of Wildland Fire 32 (6)
International Journal of Wildland Fire 33 (1)Rachel Taylor, Andrew G. Marshall, Steven Crimp, Geoffrey J. Cary, Sarah Harris, Samuel Sauvage
Calculating fire danger of cured grasslands in temperate climates – the elements of the Grassland Fire Index (GLFI)International Journal of Wildland Fire 32 (8)K.-P. Wittich, C. Böttcher, P. Stammer, M. Herbst
The role of people, parks and precipitation on the frequency and timing of fires in a sub-Saharan savanna ecosystemInternational Journal of Wildland Fire 33 (1)Julius R. Dewald, Jane Southworth, Imelda K. Moise
International Journal of Wildland Fire 32 (5)
Laboratory benchmark of low-cost portable gas and particle analysers at the source of smouldering wildfiresInternational Journal of Wildland Fire 32 (11)
International Journal of Wildland Fire 32 (7)Glen MacDonald, Tamara Wall, Carolyn A. F. Enquist, Sarah R. LeRoy, John B. Bradford, David D. Breshears, Timothy Brown, Daniel Cayan, Chunyu Dong, Donald A. Falk , Erica Fleishman, Alexander Gershunov, Molly Hunter, Rachel A. Loehman, Phillip J. van Mantgem, Beth Rose Middleton, Hugh D. Safford, Mark W. Schwartz, Valerie Trouet
International Journal of Wildland Fire 33 (2)
International Journal of Wildland Fire 32 (6)
International Journal of Wildland Fire 32 (11)
International Journal of Wildland Fire 33 (1)
International Journal of Wildland Fire 32 (11)
International Journal of Wildland Fire 32 (11)
BARA: cellular automata simulation of multidimensional smouldering in peat with horizontally varying moisture contentsInternational Journal of Wildland Fire 33 (2)
International Journal of Wildland Fire 32 (12)
Forest fire progress monitoring using dual-polarisation Synthetic Aperture Radar (SAR) images combined with multi-scale segmentation and unsupervised classificationInternational Journal of Wildland Fire 33 (1)
International Journal of Wildland Fire 33 (1)Phillipa C. McCormack, Rebecca K. Miller, Jan McDonald
Shoot flammability patterns among plant species of the wildland–urban interface in the fire-prone Greater Blue Mountains World Heritage AreaInternational Journal of Wildland Fire 32 (7)Brad R. Murray, Thomas Hawthorne, Timothy J. Curran, Daniel W. Krix, Molly I. Wallace, Kieran Young, Megan L. Murray, Elisabeth Morley, Nicola Huber-Smith, Jonathan K. Webb