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

International Journal of Wildland Fire

International Journal of Wildland Fire

International Journal of Wildland Fire publishes articles on basic and applied aspects of wildland fire science including, but not confined to, ecological impact, modelling fire and its effects, and management of fire. Read more about the journalMore

Editors-in-Chief: Susan G. Conard and Stefan Doerr

Current Issue

International Journal of Wildland Fire

Volume 26 Number 3 2017

We identify the most extreme fire weather days based on McArthur’s Forest Fire Danger Index (FFDI) for 24 sites across south-eastern Australia for potential use in fire risk planning. The extent and variability of these highest FFDI days are analysed by the contributions of temperature, relative humidity, wind speed, wind direction and drought indices.

WF16106Hillslope-scale prediction of terrain and forest canopy effects on temperature and near-surface soil moisture deficit

Sean F. Walsh, Petter Nyman, Gary J. Sheridan, Craig C. Baillie, Kevin G. Tolhurst and Thomas J. Duff
pp. 191-208

Fire managers often use a drought index at coarse spatial resolution to determine soil moisture status in flammable forests. In complex terrain, there is a fine-scale mosaic of near-surface soil moisture deficit that may create important constraints on prescribed burning operations. A simple method is proposed for predicting this pattern.

WF16026Spatial distribution of grassland fires at the regional scale based on the MODIS active fire products

Zhengxiang Zhang, Zhiqiang Feng, Hongyan Zhang, Jianjun Zhao, Shan Yu and Wala Du
pp. 209-218

This study used kernel density estimation to analyse the spatial pattern of grassland fires based on the MODIS active fire product and to define grassland fire risk zones. The results show that the kernel density estimation method can be applied to analyse the spatial distribution of grassland fires.

The relative importance of different drivers of human-caused fire can vary based on levels of human footprint and biophysical characteristics of a study region. We show that human-caused fire occurrence in areas with substantial human footprint are controlled by a different set of variables than in remote areas.

The spectral characteristics of five hyperspectral and multispectral sensors were evaluated for topsoil organic carbon prediction in burned areas. The spectral resolution of both sensors was suitable for prediction. The most relevant spectral regions for topsoil carbon estimation were the visible and short-wave infrared.

WF16195Forest fire danger, life satisfaction and feelings of safety: evidence from Australia

Christopher L. Ambrey, Christopher M. Fleming and Matthew Manning
pp. 240-248

Forest fire danger is negatively associated with an individual’s life satisfaction and with an individual’s feelings of safety. Feelings of safety largely explain the association between forest fire danger and life satisfaction. We find that individuals are willing-to-pay $10 to avoid a one unit increase in forest fire danger.

Professor Coutinho (1934–2016; Sao Paulo, Brazil) studied fire adaptations in Brazilian savannas during the 1970s, when very few researchers recognised fire as an evolutionary force. His main contributions were on fire-stimulated flowering, serotiny and nutrient cycling. However, he is little known, partly because he was not Anglo-Saxon but also because he was ahead of his time, when fire and evolution were still distant concepts.

Online Early

The peer-reviewed and edited version of record published online before inclusion in an issue

Published online 27 March 2017

WF16130Incorporating fine-scale drought information into an eastern US wildfire hazard model

Matthew P. Peters and Louis R. Iverson

An eastern United States wildfire hazard model updated with finer-resolution drought occurrence data is evaluated to determine if information is gained from the more detailed data. Inclusion of newer drought data shifted its contribution among monthly models to wildland–urban interface information. This refinement has removed the influence of climate division data.

Published online 22 March 2017

WF16142The contribution of turbulent plume dynamics to long-range spotting

William Thurston, Jeffrey D. Kepert, Kevin J. Tory and Robert J. B. Fawcett

We predict firebrand transport and landing position using a transport model that explicitly includes plume turbulence. The in-plume turbulence largely determines the spread in landing position, and also approximately doubles the maximum spotting distance compared with that in a plume without turbulence. These results provide a pathway to better parametrisation of firebrand transport.

Published online 17 March 2017

WF16177Charcoal reflectance suggests heating duration and fuel moisture affected burn severity in four Alaskan tundra wildfires

Victoria A. Hudspith, Claire M. Belcher, Jennifer Barnes, Carolyn B. Dash, Ryan Kelly and Feng Sheng Hu

For the first time, we have coupled the use of field observations of burn severity with charcoal reflectance for four tussock–shrub Alaskan tundra wildfires. Reflectance results suggest that heating durations were broadly similar across the burns and microsite variations in burn severity were due to local variations in fuel moisture.

Published online 13 February 2017

WF16135An empirical machine learning method for predicting potential fire control locations for pre-fire planning and operational fire management

Christopher D. O' Connor, David E. Calkin and Matthew P. Thompson

This research supports planning for and management of wildfires to improve resource allocation decisions and to reduce risk to fire responders. We use historical fire perimeters to identify landscape features and conditions associated with where fires stop, and leverage these relationships to predict potential future fire control locations.

Published online 02 November 2016

WF16073A simulation and optimisation procedure to model daily suppression resource transfers during a fire season in Colorado

Yu Wei, Erin J. Belval, Matthew P. Thompson, Dave E. Calkin and Crystal S. Stonesifer

We developed and implemented a model to improve engine and crew assignments and transfers during a fire season. We implemented this model to study how multiple factors may influence engine and crew transfer costs and efficiencies. Results show we could decrease engine and crew transport costs through efficient resource dispatching.

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