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International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire
Table of Contents
   

Volume 34 Number 9 2025

WF24212Fatigue in wildland firefighting: relationships between sleep, shift characteristics, and cognitive function

J. Wallace-Webb, C. Coehoorn, S. Purewal, G. Thomas, K. Muirhead, J. Angus and L. Stuart-Hill

This study examined how sleep and shift characteristics relate to brain function in wildland firefighters. Our findings showed that firefighters often experience poor sleep and long shifts, which are both associated with declines in brain function. These results highlight the importance of evidence-based fatigue management strategies to support firefighter safety and wellbeing.

WF24213Where the landscape meets the garden gate: fire risk perception and garden adaptation in Tasmania’s wildland–urban interface

Anna Marie Gjedrem 0000-0002-9276-0431, Stefania Ondei 0000-0002-2515-3316, Owen F. Price 0000-0001-5327-568X, Grant J. Williamson 0000-0002-3469-7550 and David M. J. S. Bowman 0000-0001-8075-124X

Cartoon depicting a person considering how to address the fire hazards for both landscape and garden.

How can homeowners make their gardens safer from wildfire? This study reveals that while residents recognise wildfire risks, they often overlook crucial hazards near their homes. Property-specific assessments help motivate change, but success requires balancing safety measures with homeowners' emotional connections to their gardens.

WF24148Developing an impact index for the Australian Fire Danger Rating System: predicting potential structure loss from wildfires

Dan Krix 0000-0002-0733-1254, James Monks, Stuart Matthews, Meaghan Jenkins, Alex Holmes, Sam Sauvage and John W. Runcie

In this paper predictive spatial models for structure loss to wildfire in Australia were presented. Structure counts, cleared land percentage, surrounding structures, terrain ruggedness and tree canopy height were used as predictors. Model outputs can be used to generate spatial predictions complementing existing fire behaviour predictions.

WF24232Mapping fire hazard potential in Kazakhstan: a machine learning and remote sensing perspective

Daniker Chepashev, Serik Nurakynov 0000-0001-9735-7820, Divyansh Sharma, Nurmakhambet Sydyk and Gulzhiyan Kabdulova

The study applies the MaxEnt model to map wildfire risk across Kazakhstan using machine learning and remote sensing. Environmental data from satellites were analyzed, achieving a prediction accuracy of 72%. The resulting high-resolution map identifies fire-prone areas, aiding resource allocation and strategy development for wildfire management, especially in climate-sensitive regions.

WF25023Fuel-aware forest fire danger rating system RISICO: a comparative study for Italy

Nicolò Perello 0000-0003-4097-9180, Andrea Trucchia 0000-0001-7294-9061, Mirko D’Andrea, Giorgio Meschi, Farzad Ghasemiazma, Silvia Degli Esposti, Paolo Fiorucci, Luca Ferraris, Andrea Gollini and Dario Negro

Wildfire risk is increasing owing to human actions, requiring improved fire danger models. The RISICO model, used in Italy for decades, integrates fuel characteristics and hourly outputs. Testing over 16 years shows RISICO outperforms traditional indices, enhancing spatial and temporal fire danger prediction for better wildfire management.

This article belongs to the collection: Fire Behaviour and Fuels Conference.

This study uses a large language model to analyze formal risk assessments from a census of 6630 complex wildfires in the United States. It identifies the barriers to fire spread that decision-makers write about in each assessment.

We compared models of initial attack (IA) success with and without the inclusion of spruce budworm (SBW) defoliation data. We found the fire size at IA was the most important determinant of fire containment. Despite SBW’s effects on fuels, its inclusion did not greatly improve model performance.

We examined whether the location or type of peat affected the minimum moisture needed to prevent ignition or sustained burning. Landform and physical and chemical factors were also assessed for their importance. We found peat type and moisture content were sufficient to predict whether the peat would ignite or burn.

This article belongs to the collection: Fire Behaviour and Fuels Conference.

WF24190Does the temporal variation of leaf terpene and moisture content trigger leaf flammability over time?

Anne Ganteaume, Bastien Romero, Elena Ormeño, Caroline Lecareux and Catherine Fernandez

Relationships between terpenes, FMC and flammability varied over time, patterns differing according to species, and the effect of FMC being overridden by terpenes. Species flammability could be enhanced by higher terpene concentrations outside summer, the fire season in Mediterranean regions. This should be accounted for in WUI fire prevention.


Lake Nahuel Huapi, Argentina during a lightning storm; overlaid are the number of lightning ignitions increasing from 1950–2020.

Northwestern Patagonia, Argentina, is witnessing accelerated changes in fire regimes. Wildfires ignited by lightning have increased 1700% over the last 70 years over four national parks. A combination of increased atmospheric instability and extreme fire weather induced by climate change, is producing unprecedentedly frequent, large and severe naturally-ignited wildfires.

Wildland firefighters face brain health risks from wildfire smoke, heat, physical strain and disrupted sleep. These hazards increase neuroinflammation, cognitive decline and mental health challenges like post-traumatic stress disorder (PTSD) and depression. Protective measures, including better gear, hydration, recovery time and mental health support, are essential. Research is needed to understand and mitigate long-term effects.

Committee on Publication Ethics

Call for Papers

We are seeking contributions for the following Special Issues. More information

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All non-OA journal content published prior to 2024 can be accessed by IAWF members through the IAWF Members-Only site.

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