Simulated western spruce budworm defoliation reduces torching and crowning potential: a sensitivity analysis using a physics-based fire model
Gregory M. Cohn A C , Russell A. Parsons A , Emily K. Heyerdahl A , Daniel G. Gavin B and Aquila Flower B
+ Author Affiliations
- Author Affiliations
A USDA Forest Service, Rocky Mountain Research Station, 5775 US West Highway 10, Missoula, MT 59808, USA.
B Department of Geography, University of Oregon, Eugene, OR 97403, USA.
C Corresponding author. Email: gcohn@fs.fed.us
International Journal of Wildland Fire 23(5) 709-720 https://doi.org/10.1071/WF13074
Submitted: 11 May 2013 Accepted: 24 February 2014 Published: 10 June 2014
Abstract
The widespread, native defoliator western spruce budworm (Choristoneura occidentalis Freeman) reduces canopy fuels, which might affect the potential for surface fires to torch (ignite the crowns of individual trees) or crown (spread between tree crowns). However, the effects of defoliation on fire behaviour are poorly understood. We used a physics-based fire model to examine the effects of defoliation and three aspects of how the phenomenon is represented in the model (the spatial distribution of defoliation within tree crowns, potential branchwood drying and model resolution). Our simulations suggest that fire intensity and crowning are reduced with increasing defoliation compared with un-defoliated trees, regardless of within-crown fuel density, but torching is only reduced with decreasing crown fuel density. A greater surface fire intensity was required to ignite the crown of a defoliated compared with an un-defoliated tree of the same crown base height. The effects of defoliation were somewhat mitigated by canopy fuel heterogeneity and potential branchwood drying, but these effects, as well as computational cell size, were less pronounced than the effect of defoliation itself on fire intensity. Our study suggests that areas heavily defoliated by western spruce budworm may inhibit the spread of crown fires and promote non-lethal surface fires.
Additional keywords: canopy bulk density, CFD, Computational Fluid Dynamic model, critical surface fire intensity, Douglas-fir, fire behaviour, fuel moisture, surface fire intensity, WFDS, wildland–urban interface fire dynamic simulator.
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