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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

Volume 31 Number 10 2022


Decisions in wildfire management include important ethical dimensions: how should we resolve competing trade-offs and priorities? In this paper, we provide a roadmap to different ethical issues involved in wildfire, argue for discussing these more explicitly, and suggest the need for further research to support fair and equitable management decisions.

WF22025More smoke today for less smoke tomorrow? We need to better understand the public health benefits and costs of prescribed fire

Benjamin A. Jones 0000-0001-9401-0143, Shana McDermott, Patricia A. Champ and Robert P. Berrens
pp. 918-926

As we scale up the use of prescribed fire in the US, we need a better scientific understanding of how the health costs associated with its smoke in the present compare to the future benefits of reduced wildfire smoke exposure. Research is called for on the public health benefits and costs of prescribed fire.

Graphical Abstract Image

Organisational studies can unearth the values of everyday work cultures. This application of the social science of wildland firefighting discusses unnecessary risk in normal operations. Perceived internal and external organisational pressures interact with mission-oriented work cultures, creating for employees an unnecessary exposure to risk. Forest Service photograph by Kari Greer, taken on 24 August 2016.


Actors must collectively manage wildfire risk across administrative, conceptual, organisational and other boundaries in fire-prone landscapes. We interviewed practitioners in five cases across the western United States, identifying how actors were engaging in collective action to address wildfire risk, organised through a typology of actor functions and boundary-spanning features.

WF21135GAMBUT field experiment of peatland wildfires in Sumatra: from ignition to spread and suppression

Muhammad A. Santoso 0000-0001-7936-9211, Eirik G. Christensen 0000-0001-8927-1437, Hafiz M. F. Amin 0000-0002-6382-757X, Pither Palamba 0000-0002-5847-1548, Yuqi Hu, Dwi M. J. Purnomo 0000-0001-6839-7014, Wuquan Cui 0000-0003-2133-1709, Agus Pamitran, Franz Richter 0000-0003-3035-1533, Thomas E. L. Smith 0000-0001-6022-5314, Yulianto S. Nugroho 0000-0003-3007-9816 and Guillermo Rein 0000-0001-7207-2685
pp. 949-966
Graphical Abstract Image

This paper presents the largest and longest to-date field experiment of peat wildfires. Results show peat wildfires behaviour at field conditions in term of smouldering spread, thermal severity and response to rainfall and suppression. Findings in this paper can contribute to better mitigation efforts. GAMBUT Fire Palette photograph by Wuquan Cui.

WF21098On the intermittent nature of forest fire spread – Part 2

Domingos Xavier Filomeno Carlos Viegas 0000-0001-6690-035X, Jorge Rafael Nogueira Raposo 0000-0002-3964-9400, Carlos Fernando Morgado Ribeiro 0000-0001-6108-7793, Luís Reis 0000-0002-8651-4007, Abdelrahman Abouali 0000-0002-1839-5149, Luís Mário Ribeiro 0000-0002-9972-4601 and Carlos Xavier Pais Viegas 0000-0002-9242-3195
pp. 967-981

Interaction between a fire and its surroundings induces spread properties oscillations with an amplitude proportional to the rate of spread and a frequency that depends on the type of fire and its rate of spread. In fast-spreading fires, large amplitude oscillations produce quick changes of the rate of spread.

WF21136Automated classification of fuel types using roadside images via deep learning

Md Riasat Azim 0000-0001-7453-816X, Melih Keskin, Ngoan Do and Mustafa Gül 0000-0002-7750-0906
pp. 982-987

This paper presents a framework for automated identification of fuels in an area by analysing roadside images using a convolutional neural network. The results show that the framework has the potential to automate the process of fuel classification, which can complement the current practice of visual inspection and aerial monitoring.

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