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Open AccessArticle

Improving Fire Behaviour Data Obtained from Wildfires

1
School of Ecosystem and Forest Sciences, University of Melbourne, Creswick 3363, Australia
2
Bushfire and Natural Hazards Cooperative Research Centre, Melbourne 3002, Australia
*
Author to whom correspondence should be addressed.
This paper is an extended version of Report No. 319.2017 “Determining threshold conditions for extreme fire behaviour”.
Forests 2018, 9(2), 81; https://doi.org/10.3390/f9020081
Received: 19 December 2017 / Revised: 23 January 2018 / Accepted: 6 February 2018 / Published: 9 February 2018
(This article belongs to the Section Forest Ecology and Management)
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. View Full-Text
Keywords: data collection and management; standard; fire behaviour; research utilization data collection and management; standard; fire behaviour; research utilization
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MDPI and ACS Style

Filkov, A.I.; Duff, T.J.; Penman, T.D. Improving Fire Behaviour Data Obtained from Wildfires. Forests 2018, 9, 81.

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