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Improving Fire Behaviour Data Obtained from Wildfires

Author(s): Alexander I. Filkov, Thomas J. Duff, Trent D. Penman
Year Published: 2018

Organisations that manage wildfires are expected to deliver scientifically defensible decisions. However, the limited availability of high quality data restricts the rate at which research can advance. The nature of wildfires contributes to this: they are infrequent, complex events, occur with limited notice and are of relatively short duration. Some information is typically collected during wildfires, however, it is often of limited quantity and may not be of an appropriate standard for research. Here we argue for a minimum standard of data collection from every wildfire event to enhance the advancement of fire behaviour research and make research findings more internationally relevant. First, we analyse the information routinely collected during fire events across Australia. Secondly, we review research methodologies that may be able to supplement existing data collection. Based on the results of these surveys, we develop a recommended list of variables for routine collection during wildfires. In a research field typified by scarce data, improved data collection standards and methodologies will enhance information quality and allow the advancement in the development of quality science.

Citation: Filkov, Alexander I.; Duff, Thomas J.; Penman, Trent D. 2018. Improving fire behaviour data obtained from wildfires. Forests 9(2):81. doi:10.3390/f9020081
Topic(s): Fire Behavior, Data Evaluation or Data Analysis for Fire Modeling
Ecosystem(s): None
Document Type: Book or Chapter or Journal Article
NRFSN number: 17190
FRAMES RCS number: 25746
Record updated: May 16, 2018