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Synonyms

Canopy fire

Definition

A crown fire is defined as a fire that has ascended from the ground into the forest canopy and is spreading through it, usually in conjunction with the surface fuels.

Introduction

Live vegetation and dead vegetative fuel in forests, woodlands, and shrublands is generally distributed in layers along a vertical vegetation profile from the surface of the ground to the top of the trees. The higher layer of this profile, the canopy layer, includes the crowns of tall trees and, in some cases, the crowns of tall shrubs.

When wildfires spread through a forest, they do not necessarily burn all fuel layers. As a rule, they start on dead fuels on the forest floor, and they are classified according to the tallest fuel layer that they burn as ground fires, surface fires, and crown fires. Depending on the conditions, the layers that burn may change during the evolution of a fire.

Crown fires are less common than surface fires in most forest ecosystems, but because of...

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References

  • Ager A, Vaillant N, Finney MA (2011) Application of fire behavior models and geographic information systems for wildfire risk assessment and fuel management planning. J Comb:19. https://doi.org/10.1155/2011/572452

    Article  Google Scholar 

  • Albini FA (1976) Estimating wildfire behavior and effects. General technical report INT-30. USDA, Forest Service, Intermountain Forest and Range Experiment Station, Ogden, p 92

    Google Scholar 

  • Albini FA (1976b) Computer-based models of wildland fire behavior: a user’s manual. USDA Forest Service, Ogden, p 74

    Google Scholar 

  • Albini FA (1985) A model for fire spread in wildland fuels by radiation. Combust Sci Technol 42:229–258. https://doi.org/10.1080/00102208508960381

    Article  Google Scholar 

  • Albini FA (1986) Wildland fire spread by radiation – a model including fuel cooling by natural convection. Combust Sci Technol 45(1–2):101–113. https://doi.org/10.1080/001022 08608923844

    Article  Google Scholar 

  • Albini FA (1996) Iterative solution of the radiation transport equations governing spread of fire in wildland fuels. Fizika goreniya i zvryva 32(5):71–81. Siberian branch of the Russian Academy of Sciences

    Google Scholar 

  • Alexander ME (1988) Help with making crown fire hazard assessments. In: Fischer WC, Arno SF, comps. Protecting people and homes from wildfire in the interior west: proceedings of the symposium and workshop; 6–8 Oct 1988; Missoula proceedings of general technical report INT-251. USDA, Forest Service, Intermountain Forest and Range Experimental Station, Ogden, pp 147–156

    Google Scholar 

  • Alexander ME (2009a) Wildland fire behaviour and ‘The Course of Science’ flowchart: is there a connection? Fire Manag Today 69(3):44–46

    Google Scholar 

  • Alexander ME (2009b) Are we abusing our use of models and modelling in wildland fire and fuel management? Fire Manag Today 69(4):23–26

    Google Scholar 

  • Alexander ME, Cruz MG (2006) Evaluating a model for predicting active crown fire rate of spread using wildfire observations. Can J For Res 36(11):3015–3028

    Article  Google Scholar 

  • Alexander ME, Cruz MG (2011) Crown fire dynamics in conifer forests. In: Synthesis of knowledge of extreme fire behavior: volume 1 for fire managers. USDA Forest Service, Pacific Northwest Research Station, General technical report PNW-GTR-854, pp 107–142. (Portland)

    Google Scholar 

  • Alexander ME, Cruz M (2012a) What are the safety implications of crown fires? In: Fox RL (ed) Proceedings of 11th wildland fire safety summit. International Association of Wildland Fire. CD-ROM, Missoula, p 15

    Google Scholar 

  • Alexander ME, Cruz MG (2012) Interdependencies between flame length and fireline intensity in predicting crown fire initiation and crown scorch height. Int J Wildland Fire 21:95–113

    Article  Google Scholar 

  • Alexander ME, Cruz MG (2013) Are the applications of wildland fire behaviour models getting ahead of their evaluation again? Environ Model Softw 41:65–71. https://doi.org/10.1016/j.envsoft.2012.11.001

    Article  Google Scholar 

  • Alexander ME, Cruz MG, Lopes AMG (2006) CFIS: a software tool for simulating crown fire initiation and spread. In: Viegas DX (ed) Proceedings of 5th international conference on forest fire research, 27–30 Nov 2006, Figueira da Foz. (CD-ROM). Elsevier BV, Amsterdam

    Google Scholar 

  • Alexander ME, Cruz MG, Vaillant NM, Peterson DL (2013) Crown fire behavior characteristics and prediction in conifer forests: a state-of-knowledge synthesis. Joint Fire Science Program, Boise. JFSP 09-S-03-1 Final Report. p 39

    Google Scholar 

  • Anderson HE (1982) Aids to determining fuel models for estimating fire behavior. USDA forest service general technical report INT-122, p 22. Intermountain Forest and Range Experiment Station, Ogden, 84401

    Google Scholar 

  • Andrews PL (1986) BEHAVE: fire behavior prediction and fuel modelling system—burn subsystem, part I. USDA, Forest Service general technical report INT-194

    Google Scholar 

  • Andrews PL, Bevins CD, Seli RC (2008) BehavePlus fire modeling system, version 4.0: user’s guide. USDA Forest Service, Rocky Mountain Research Station, general technical report RMRS-GTR-106WWW revised. (Fort Collins)

    Google Scholar 

  • Brown AA, Davis KP (1973) Forest fire: control and use, 2nd edn. The Bark Beetles, Fuels, and Fire Bibliography. Paper 140

    Google Scholar 

  • Butler BW, Finney MA, Andrews PL, Albini FA (2004) A radiation driven model for crown fire spread. Can J For Res 34(8):1588–1599

    Article  Google Scholar 

  • Byram GM (1954) Atmospheric conditions related to blowup fires. Stn. Pap. No. 35. Asheville: USDA Forest Service, Southeastern Forest Experiment Station. (Reprinted as: National Fire Equipment System Publication NFES 2565 by the National Wildfire Coordinating Group, Boise)

    Google Scholar 

  • Byram GM (1959) Combustion of forest fuels; Forest fire behavior. In: Davis KP (ed) Forest fire: control and use, vol 61–89. McGraw-Hill, New York, pp 90–123

    Google Scholar 

  • Canadian Forestry Service (1987) Canadian forest fire danger rating system – users’ guide. Agric. Can., Canadian Forestry Service. Fire Danger Group, Ottawa. Three-ring binder (unnumbered publication)

    Google Scholar 

  • Carlton D (2005) Fuels Management Analyst Plus software, version 3 (Fire Program Solutions LLC: Estacada). Available at http://www.fireps.com/fmanalyst3/index.htm (Verified 8 Nov 2009)

  • Cronan JB, Jandt R (2008) How succession affects fire behavior in boreal black spruce forest of interior Alaska. Technical report 59. U.S. Department of the Interior, Bureau of Land Management, Anchorage, p 15

    Google Scholar 

  • Cruz MG, Alexander ME (2010) Assessing crown fire potential in coniferous forests of western North America: a critique of current approaches and recent simulation studies. Int J Wildland Fire 19:377–398. https://doi.org/10.1071/WF08132

    Article  Google Scholar 

  • Cruz MG, Alexander ME (2014) Using modeled surface and crown fire behaviour characteristics to evaluate fuel treatment effectiveness: a caution. For Sci 60. https://doi.org/10.5849/forsci.13-719

    Article  Google Scholar 

  • Cruz MG, Alexander ME (2019) Comments on “evaluating crown fire rate of spread predictions from physics-based models”. Fire Technol:1572–8099. https://doi.org/10.1007/s10694-019-00856-2

    Article  MathSciNet  Google Scholar 

  • Cruz MG, Alexander ME, Wakimoto RH (2003a) Assessing canopy fuel stratum characteristics in crown fire prone fuel types of western North America. Int J Wildland Fire 12(1):39–50

    Article  Google Scholar 

  • Cruz MG, Alexander ME, Wakimoto RH (2003b) Assessing the probability of crown fire initiation based on fire danger indices. For Chron 79:976–983

    Article  Google Scholar 

  • Cruz MG, Alexander ME, Wakimoto RH (2004) Modeling the likelihood of crown fire occurrence in conifer forest stands. For Sci 50:640–658

    Google Scholar 

  • Cruz MG, Alexander ME, Wakimoto RH (2005) Development and testing of models for predicting crown fire rate of spread in conifer forest stands. Can J For Res 35:1926–1939

    Article  Google Scholar 

  • Cruz MG, Butler BW, Alexander ME (2006a) Predicting the ignition of crown fuels above a spreading surface fire. Part II: model behavior and evaluation. Int J Wildland Fire 15:61–72

    Article  Google Scholar 

  • Cruz M, Butler B, Alexander M, Forthofer J, Wakimoto R (2006b) Predicting the ignition of crown fuels above a spreading surface fire. Part I: model idealization. Int J Wildland Fire 15:47–60

    Article  Google Scholar 

  • Cruz M, Alexander M, Fernandes P (2008) Development of a model system to predict wildfire behaviour in pine plantations. Aust For 71:113–121. https://doi.org/10.1080/00049158.2008.10676278

    Article  Google Scholar 

  • Fahnestock GR (1970) Two keys for appraising forest fire fuels. USDA Forest Service Research Paper PNW 1970. p 26

    Google Scholar 

  • Finney MA (2004) FARSITE: fire area simulator-model development and evaluation (revised). Research paper RMRS-RP-4 revised. USDA, Rocky Mountain Research Station, Ogden, p 52

    Google Scholar 

  • Finney M (2006) An overview of FlamMap fire modeling capabilities. Fuels management-how to measure success: conference proceedings

    Google Scholar 

  • Forestry Canada Fire Danger Group (1992) Development and structure of the Canadian forest fire behavior prediction system. Forestry Canada, Ottawa. Information report ST-X-3. p 63

    Google Scholar 

  • Grishin AM (1997) Mathematical modeling of forest fires and new methods of fighting them. In: Albini F (ed) (trans: Czuma M, Chikina L, Smokotina L). Tomsk State University, Tomsk, p 390

    Google Scholar 

  • Grishin AM, Perminov VA (1998) Mathematical modeling of the ignition of tree crowns. Combust Explo Shock Waves 34:378–386

    Article  Google Scholar 

  • Grishin AM, Shipulina OV (2002) Mathematical model for spread of crown fires in homogeneous forests and along openings. Combust Explosion Shock Waves 38(6):622–632

    Article  Google Scholar 

  • Grishin AM et al (1987) Experimental study on the mechanism of forest fire spread and new ways of fighting forest fires. Tomsk State University. Deposited with the All-Union Institute of Scientific and Technical Information, 18 Dec 1987. No. 226-B87. p 53 (in Russian)

    Google Scholar 

  • Lawson BD, Armitage OB (2008) Weather guide for the Canadian forest fire danger rating system. Natural Resources Canada, Canadian Forestry Service, Northern Forestry Centre, Edmonton, p 73

    Google Scholar 

  • Michaletz ST, Johnson EA, Mell WE, Greene DF (2012) Timing of fire relative to seed development controls availability of non-serotinous aerial seed banks. Biogeosci Discuss 9:16705–16751

    Article  Google Scholar 

  • Mitsopoulos ID, Dimitrakopoulos AP (2007) Allometric equations for crown fuel biomass of Aleppo pine (Pinus halepensis Mill.) in Greece. Int J Wildland Fire 16:642–647

    Article  Google Scholar 

  • Molina JR (2015) Validación y ajustes de los modelos de propagación de fuego de copa en la ordenación del paisaje forestal. In: Lecciones aprendidas en los incendios forestales; Rodríguez y Silva F (Ed). SECF-Universidad de Córdoba- MAGRAMA – Junta de Andalucía, Cordoba, pp 146–166. ISBN: 978-84-608-3864-7

    Google Scholar 

  • Padhi S, Dahale AR, Shotorban B, Mahalingam S (2012) Effects of crown separation distance and wind on crown fuel ignition in sparse vegetation. Central states section of the combustion institute, 2012 technical meeting, combustion fundamentals and applications, Dayton. 22–24 Apr 2012

    Google Scholar 

  • Pearce HG, Anderson SAJ, Clifford VR (2012) A manual for predicting fire behaviour in New Zealand fuels, 2nd edn. Scion Rural Fire Research Group, Christchurch

    Google Scholar 

  • Pence M, Zimmerman T (2011) The wildland fire decision support system: integrating science, technology, and fire management. Fire Manag Today 71:18–22

    Google Scholar 

  • Perminov V (2007) Mathematical modeling of forest fire initiation in three-dimensional setting. In: Butler BW, Cook W, comps. The fire environment–innovations, management, and policy; conference proceedings. 26–30 Mar 2007; Destin. Proceedings RMRS-P-46CD, vol 46. US Department of Agriculture, Forest Service, Rocky Mountain Research Station, Fort Collins. CD-ROM. pp 241–248

    Google Scholar 

  • Perminov V, Soprunenko E (2016) Numerical solution of crown forest fire initiation and spread problem. In 2016 11th international forum on strategic technology (IFOST). IEEE, pp 400–404

    Google Scholar 

  • Porterie B, Loraud JC, Bellemare LO, Consalvi JL (2003) A physically based model of the onset of crowning. Comb Sci Technol 175:1109–1141

    Article  Google Scholar 

  • Reinhardt E, Crookston NL (2003) The fire and fuels extension to the forest vegetation simulator. General technical report RMRS-GTR-116. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Ogden, p 209

    Google Scholar 

  • Rodríguez y Silva F, Guijarro M, Madrigal J, Jiménez E, Molina J, Hernando C, Vélez R, Vega J (2017) Assessment of crown fire initiation and spread models in Mediterranean conifer forests by using data from field and laboratory experiments. For Syst 26(2):12

    Google Scholar 

  • Rothermel RC (1972) A mathematical model for predicting fire spread in wildland fuels. Research paper INT-115. USDA, Forest Service, Intermountain Forest and Range Experiment Station, Ogden, p 40

    Google Scholar 

  • Rothermel RC (1983) How to predict the spread and intensity of forest and range fires. General technical report INT-143. USDA, Forest Service, Intermountain Forest and Range Experiment Station, Ogden, p 161

    Google Scholar 

  • Rothermel RC (1991a) Predicting behavior and size of crown fires in the Northern Rocky Mountains. Research paper INT–438. USDA Forest Service, Intermountain Research Station, Ogden, p 46

    Google Scholar 

  • Rothermel RC (1991b) Crown fire analysis and interpretation. In: Pl A, Potts DF (eds) Proceedings of the 11th conference on fire and forest meteorology. Society of American Foresters, Missoula, pp 253–263

    Google Scholar 

  • Sando RW, Wick CH (1972) A method of evaluating crown fuels in forest stands. USDA Forest Service North-Central Experiment Station Research Paper NC-84. p 10

    Google Scholar 

  • Schmidt WC, Wakimoto RH (1988) Cultural practices that can reduce fire hazards to homes in the interior west. In: Proceedings symposium and workshop on protecting people and homes from wildfire in the interior west. USDA Forest Service general technical report INT 251. pp 131–141

    Google Scholar 

  • Scott JH (1999) NEXUS: a system for assessing crown fire hazard. Fire Manag Notes 59(2):20–24

    Google Scholar 

  • Scott JH, Reinhardt ED (2001) Assessing crown fire potential by linking models of surface and crown fire behavior. Research paper RMRS-RP-29. USDA, Forest Service, Rocky Mountain Research Station, Fort Collins, p 59

    Google Scholar 

  • Stocks BJ, Lawson BD, Alexander ME, Van Wagner CE, McAlpine RS, Lynham TJ, Dubé DE (1989) The Canadian forest fire danger rating system: an overview. For Chron 65(6):450–457. (Reprinted from August 1989 issue, 65:258–265, with corrections and new pagination)

    Article  Google Scholar 

  • Stocks BJ, Alexander ME, Lanoville RA (2004) Overview of the international crown fire modelling experiment (ICFME). Can J For Res 34(8):1543–1547. https://doi.org/10.1139/X04-905

    Article  Google Scholar 

  • Sullivan ΑL (2008) A review of wildland fire spread modeling, 1990-present 1: physical and quasi-physical models. Research School of Physical Sciences and Engineering

    Google Scholar 

  • Tachajapong W, Lozano J, Mahalingam S, Zhou X, Weise DR (2009) Experimental and numerical modeling of shrub crown fire initiation. Combust Sci Technol 181(4):618–640

    Article  Google Scholar 

  • Telitsin HP (1996) A mathematical model of spread of high-intensity forest fires. In: Goldammer JG, Furyaev VV (eds) Fire in ecosystems of Boreal Eurasia, pp 314–325. c 1996 Kluwer Academic Publishers

    Google Scholar 

  • Thomas PH (1963) The size of flames from natural fires. In: Proceedings – 9th international symposium on combustion. 27 Aug – 1 Sept 1962. Academic Press Book Co, Ithaca, pp 844–859

    Google Scholar 

  • Thomas PH, Simms DL, Wraight H (1964) Fire spread in Wooden Cribs. Part 1. Fire Research Note 537. Fire Research Station, Borehamwood

    Google Scholar 

  • Turner JA, Lawson BD (1978) Weather in the Canadian forest fire danger rating system: a user guide to national standards and practices. Canadian Forest Service, Pacific Forestry Centre, information report BC-X-177 (Victoria)

    Google Scholar 

  • Tymstra C (2002) PROMETHEUS – the Canadian wildland fire growth model. Initial Attack 2002(Spring): 8–9

    Google Scholar 

  • Van Wagner CE (1975) Convection temperatures above low intensity forest fires. Bi-Mon Res Notes Can For Serv 31:21

    Google Scholar 

  • Van Wagner CE (1977) Conditions for the start and spread of crown fire. Can J For Res 7:23–34

    Article  Google Scholar 

  • Van Wagner CE (1987) Development and structure of the Canadian forest fire weather index system, vol 35. Canadian Forestry Service, Ottawa

    Google Scholar 

  • Van Wagner CE (1989) Prediction of crown fire in conifer stands. In: MacIver DC et al (eds) Proceedings of tenth conference on fire and for. Meteor, pp 207–212

    Google Scholar 

  • Van Wagner CE (1993) Prediction of crown fire behavior in two stands of jack pine. Can J For Res 23:442–449

    Article  Google Scholar 

  • Van Wagner CE (1998) Modelling logic and the Canadian forest fire behavior prediction system. For Chron 74:50–52

    Article  Google Scholar 

  • Wang X, Wotton BM, Cantin AS, Parisien MA, Anderson K, Moore B, Flannigan MD (2017) CFFDRS: an R package for the Canadian forest fire danger rating system. Ecol Process 6(1):5

    Article  Google Scholar 

  • Werth PA, Potter BE, Clements CB, Finney MA, Goodrick SL, Alexander ME, Cruz MG, Forthofer JA, McAllister SS (2011) Synthesis of knowledge of extreme fire behavior. US Department of Agriculture, Forest Service, Pacific Northwest Research Station, General technical report PNW-GTR-854, p 158

    Google Scholar 

  • Wotton BM, Alexander ME, Taylor SW (2009) Updates and revisions to the 1992 Canadian forest fire behavior prediction system. Natural Resources Canada, Canadian Forest Service, Great Lakes Forestry Centre, Sault Ste. Marie. Information report GLC-X-10, p 45

    Google Scholar 

  • Xanthopoulos G (1990) Development of a wildland crown fire initiation model. Ph.D. Dissertation. University of Montana, p 152

    Google Scholar 

  • Xanthopoulos G, Wakimoto RH (1991) Development of a wildland crown fire initiation model. Proceedings of 11th conference fire and forest meteorology, Society of American Foresters, pp 281–287

    Google Scholar 

  • Xanthopoulos G, Wakimoto RH (1993) A time-to-ignition – temperature – moisture relationship for branches of three western conifers. Can J For Res 23:253–258

    Article  Google Scholar 

  • Zylstra PJ (2011) Forest flammability: modelling and managing a complex system. Ph.D. dissertation. University of New South Wales, Australian Defense Force Academy, School of Physical, Environmental and Mathematical Sciences, p 435

    Google Scholar 

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Xanthopoulos, G., Athanasiou, M. (2020). Crown Fire. In: Manzello, S. (eds) Encyclopedia of Wildfires and Wildland-Urban Interface (WUI) Fires. Springer, Cham. https://doi.org/10.1007/978-3-319-51727-8_13-1

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