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

International Journal of Wildland Fire

Volume 29 Number 1 2020

WF19031Regional seasonality of fire size and fire weather conditions across Australia's northern savanna

Justin J. Perry, Garry D. Cook, Erin Graham, C. P. (Mick) Meyer, Helen T. Murphy and Jeremy VanDerWal
pp. 1-10

Scientists and land managers in Australia typically characterise savanna fires into small, low-intensity early dry season or large, high-intensity late dry season classes. Significant temporal and spatial variability exist in the relationship between fire size and fire weather and in the commencement and length of the late dry season in Australia’s savannas.


Using lasso-logistic regression, we developed three models of daily forest fire occurrence for British Columbia, Canada, that have strong predictive ability. Novel methods were used to address class imbalance and to rank variable importance. A cause-specific baseline risk variable was also introduced that was highly influential.

WF19084Risk assessment for wildland fire aerial detection patrol route planning in Ontario, Canada

Colin B. McFayden, Douglas G. Woolford, Aaron Stacey, Den Boychuk, Joshua M. Johnston, Melanie J. Wheatley and David L. Martell
pp. 28-41

A framework for an expert-calibrated, risk-based spatially explicit wildland fire aerial detection demand index (ADDI) is presented. The ADDI incorporates factors influencing aerial detection patrol routeing such as potential fire occurrence and behaviour, and impacts on resources and assets while accounting for fires that may be reported by the public.

WF18187Cost-effective fuel treatment planning: a theoretical justification and case study

Jason Kreitler 0000-0002-0243-5281, Matthew P. Thompson, Nicole M. Vaillant and Todd J. Hawbaker
pp. 42-56

We assessed several fuel treatment scenarios designed by different spatial prioritisation algorithms to minimise risk to ecosystem services from wildland fire across our planning region. We modelled fuel treatment costs to understand how variability in costs and revenues across the district would influence outcomes. We found that treatment scenarios using cost data prevented greater losses and treated a greater area for the same budget. To conclude, we offer practical guidance for developing spatial information on treatment costs to support fuel treatment prioritisation efforts using ArcFuels and the Landscape Treatment Designer.

WF19021Drying rates of saturated masticated fuelbeds from Rocky Mountain mixed-conifer stands

Robert E. Keane, Lisa M. Holsinger, Helen Y. Smith and Pamela G. Sikkink
pp. 57-69

Masticated fuelbeds pose high fire hazards because, if they burn, the resultant fire intensities and durations are so high that many plants will be killed. We measured the rates of drying for 13 masticated fuelbeds and found most fuelbeds dried in less than 3 days. This information will aid in fire hazard prediction and prescribed fire management.

WF19046The effect of ignition protocol on grassfire development

Duncan Sutherland, Jason J. Sharples and Khalid A. M. Moinuddin
pp. 70-80

The development of the rate of spread is simulated when the fire is ignited by walking inward from the edges and compared with walking outward from the middle of the burn plot. The inward ignition is found to lead to large variation in the development of the rate of spread.

WF18216Exploring fire response to high wind speeds: fire rate of spread, energy release and flame residence time from fires burned in pine needle beds under winds up to 27 ms−1

Bret Butler, Steve Quarles, Christine Standohar-Alfano, Murray Morrison, Daniel Jimenez, Paul Sopko, Cyle Wold, Larry Bradshaw, Loren Atwood, Justin Landon, Joseph O'Brien, Benjamin Hornsby, Natalie Wagenbrenner and Wesley Page
pp. 81-92

Measurements of fire rate of spread, energy release and residence time are presented for fires burning over beds of pine needles across a broad range of winds speeds up to 27 m s−1. Rate of spread was linearly related to wind speed, with a stronger dependence when winds exceeded 10 m s−1. Radiative and convective heating were also linearly dependent on wind speed whereas residence time was inversely proportional to wind speed.

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