Flatland in flames: a two-dimensional crown fire propagation model
James D. Dickinson A D , Andrew P. Robinson B , Paul E. Gessler C , Richy J. Harrod A and Alistair M. S. Smith CA USDA Forest Service, Okanogan–Wenatchee National Forests, Wenatchee, WA 98801, USA.
B Department of Mathematics and Statistics, University of Melbourne, Melbourne, VIC 3010, Australia.
C Department of Forest Resources, University of Idaho, Moscow, ID 83844-1133, USA.
D Corresponding author. Present address: USFS Pacific Northwest Research Lab, 1133 N Western Avenue, Wenatchee, WA 98801, USA. Email: jddickinson@fs.fed.us
International Journal of Wildland Fire 18(5) 527-535 https://doi.org/10.1071/WF07107
Submitted: 2 August 2007 Accepted: 31 October 2008 Published: 10 August 2009
Abstract
The canopy bulk density metric is used to describe the fuel available for combustion in crown fire models. We propose modifying the Van Wagner crown fire propagation model, used to estimate the critical rate of spread necessary to sustain active crown fire, to use foliar biomass per square metre instead of canopy bulk density as the fuel input. We tested the efficacy of our proposed model by comparing predictions of crown fire propagation with Van Wagner’s original data. Our proposed model correctly predicted each instance of crown fire presented in the seminal study. We then tested the proposed model for statistical equivalence to the original Van Wagner model using two contemporary techniques to parameterize canopy bulk density. We found the proposed and original models to be statistically equivalent when canopy bulk density was parameterized using the method incorporated in the Fire and Fuels Extension to the Forest Vegetation Simulator (difference < 0.5 km h–1, α = 0.05, n = 2626), but not when parameterized using the method of Cruz and others. Use of foliar biomass per unit area in the proposed model makes for more accurate and easily obtained fuel estimates without sacrificing the utility of the Van Wagner model.
Additional keywords: canopy bulk density, crown fire, equivalence test, foliar biomass per unit area, FBA.
Acknowledgements
The authors wish to thank Jack Cohen for his insight and advice; Darci Carlson for her patience; Nicholas Povak, Martin Alexander and two anonymous reviewers for their comments. We also acknowledge the Wenatchee Forestry Sciences Laboratory as well as the Okanogan and Wenatchee National Forests for the time and support to perform and publish the present research. Partial support for Smith was obtained from the NSF Idaho EPSCoR Program and by the National Science Foundation under award number EPS–0814387.
Agee JK, Berni B, Finney MA, Omi PN, Sapsis DB, Skinner CN, van Wagtendonk JW , Weatherspoon CP (2000) The use of shaded fuelbreaks in landscape fire management. Forest Ecology and Management 127, 55–66.
| Crossref | GoogleScholarGoogle Scholar |
Clark TL, Radke L, Coen J , Middleton D (1999) Analysis of small-scale convective dynamics in a crown fire using infrared video camera imagery. Journal of Applied Meteorology 38, 1401–1420.
| Crossref | GoogleScholarGoogle Scholar |
Fule PZ, Waltz AE, Covington WW , Heinlein TA (2001) Measuring forest restoration effectiveness in reducing hazardous fuels. Journal of Forestry 99(11), 24–29.
Grier CC (1975) Wildfire effects on nutrient distribution and leaching in a coniferous ecosystem. Canadian Journal of Forest Research 5, 599–607.
| Crossref | GoogleScholarGoogle Scholar | CAS |
Hummel S , Agee JK (2003) Western spruce budworm defoliation effects on forest structure and potential fire behavior. Northwest Science 77, 159–169.
Keane RE, Reinhardt D, Scott J, Gray K , Reardon J (2005) Estimating forest canopy bulk density using six indirect methods. Canadian Journal of Forest Research 35(3), 724–739.
| Crossref | GoogleScholarGoogle Scholar |
Perry DA, Jing H, Youngblood A , Oetter DR (2004) Forest structure and fire susceptibility in volcanic landscapes of the Eastern High Cascades. Conservation Biology 18(4), 913–926.
| Crossref | GoogleScholarGoogle Scholar |
Riaño D, Meier E, Allgower B, Chuvieco E , Ustin SL (2003) Modeling airborne laser scanning data for the spatial generation of critical forest parameters in fire behavior modeling. Remote Sensing of Environment 86, 177–186.
| Crossref | GoogleScholarGoogle Scholar |
Schuirmann DL (1981) On hypothesis testing to determine if the mean of a normal distribution is contained in a known interval. Biometrics 37, 617.
Stocks BJ, Alexander ME, Wotton BM, Stefner CN, Flannigan MD, Taylor SW, Lavoie N , Mason JA (2004) Crown fire behaviour in a northern jack pine–black spruce forest. Canadian Journal of Forest Research 34, 1548–1560.
| Crossref | GoogleScholarGoogle Scholar |
Van Wagner CE (1977) Conditions for the start and spread of crown fire. Canadian Journal of Forest Research 7, 23–34.
| Crossref | GoogleScholarGoogle Scholar |
Westlake WJ (1981) Response to T.B.L. Kirkwood: bioequivalence testing – a need to rethink. Biometrics 37, 589–594.
| Crossref |
Zeide B (1998) Fractal analysis of foliar distribution in loblolly pine crowns. Canadian Journal of Forest Research 28, 106–114.
| Crossref | GoogleScholarGoogle Scholar |