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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 30 Number 2 2021

WF19213PeatFire: an agent-based model to simulate fire ignition and spreading in a tropical peatland ecosystem

Kirana Widyastuti, Muhammad Ali Imron 0000-0003-2371-7795, Subyantoro Tri Pradopo, Hatma Suryatmojo, Bertha Maya Sopha, Allan Spessa and Uta Berger
pp. 71-89

We developed an agent-based model simulating the interactions between human-induced ignitions, fire and peat characteristics that are assumed to be key for tropical peatland burning events. Our results emphasise the risk of a sudden shift of the system from moderate fire occurrence to complete burning. They highlight the importance of peat moisture regulation for peatland fire management.

WF19105Spatial databases and techniques to assist with prescribed fire management in the south-east Queensland bioregion

Sanjeev Kumar Srivastava, Tom Lewis, Linda Behrendorff and Stuart Phinn
pp. 90-111

Using case studies from the south-east Queensland bioregion, this study demonstrates the relevance of diverse spatial databases for prescribed burn planning, implementation and adaptive monitoring of operational targets. Comparison between available resources and actual burn practices has identified the potential for improved use of spatial databases for holistic fire management.

WF20030Wildfire dynamics and impacts on a tropical Andean oak forest

Mauricio Aguilar-Garavito 0000-0002-3746-586X, Paola Isaacs-Cubides 0000-0003-4671-0297, J. Sebastian Ruiz-Santacruz 0000-0001-9577-8111 and Jordi Cortina-Segarra 0000-0002-8231-3793
pp. 112-124

We used complementary approaches to map wildfires and estimate their recurrence in a tropical Andean region, the Iguaque mountains, Colombia. Wildfires represent a significant disturbance in these forests and have contributed to the severe decrease in extent of Quercus humboldtii forests and their fragmentation.


A processing routine to extract burned polygons from yearly satellite images is presented. These methods are specifically designed for regions where prior information on fire locations is missing and automatic change detection operations are limited by technical difficulties. Error margins are smaller than 20% for both over- and underestimations.

WF19062The space–time cube as an approach to quantifying future wildfires in California

Diana Moanga, Gregory Biging, John Radke and Van Butsic
pp. 139-153

Wildfire models provide valuable information on potential wildfire activity, given different vegetation, population and climate scenarios. Analysing predicted wildfire events through a space–time approach and identifying hot spot areas enhances our ability to visualise and understand patterns of wildfire activity, mitigate risk and make informed decisions.

WF20051Quantifying production of hot firebrands using a fire-resistant fabric

Sampath Adusumilli 0000-0003-3164-5795, Tyler Hudson, Nathan Gardner and David L. Blunck
pp. 154-159

The generation of ‘hot’ firebrands is key in the propagation of wildfires. A methodology to enumerate these firebrands using a fire-resistant fabric is demonstrated in this paper. Further, this methodology is deployed to study hot firebrand production rates for trees treated with and without a fire retardant.

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