Register      Login
International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire
RESEARCH ARTICLE (Open Access)

Understanding variability in heat yields of wet sclerophyll forest fuels

Wey Yao Wong https://orcid.org/0000-0003-3722-7738 A * , Jane Cawson https://orcid.org/0000-0003-3702-9504 B , Thomas Duff https://orcid.org/0000-0003-2116-3901 C , Patrick Lane A and Gary Sheridan https://orcid.org/0000-0003-1755-7334 A
+ Author Affiliations
- Author Affiliations

A School of Agriculture, Food and Ecosystem Sciences, Faculty of Science, University of Melbourne, Parkville, Vic 3010, Australia.

B School of Agriculture, Food and Ecosystem Sciences, Faculty of Science, University of Melbourne, Burnley Campus, 500 Yarra Boulevard, Richmond, Vic 3121, Australia.

C Country Fire Authority, 8 Lakeside Drive, Burwood East, Vic 3151, Australia.

* Correspondence to: weyw@student.unimelb.edu.au

International Journal of Wildland Fire 34, WF24227 https://doi.org/10.1071/WF24227
Submitted: 13 January 2025  Accepted: 12 July 2025  Published: 20 August 2025

© 2025 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of IAWF. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

Background

Fireline intensity is important for understanding fire behaviour. Heat yield – the amount of energy released by fuels, calculated by subtracting energy lost by vaporising moisture from a fuel’s calorific value – is considered the least variable component of fireline intensity. Recent work suggests it may be more variable than assumed, though how it varies between fuels and seasons remains unclear.

Aims

This study aims to determine how heat yields vary between fuels and seasons in terms of calorific values, hydrogen content and fuel moisture.

Methods

We sampled common wet sclerophyll forest fuels over a year, measuring their moisture content. We determined their calorific value with bomb calorimetry, and hydrogen content with elemental analysis.

Key results

Fuel heat yields varied substantially between species and seasons, with some species having large seasonal variations. The heat yields of live fuels were significantly lower than dead fuels.

Conclusions

Heat yields are highly variable between fuels. Accounting for species composition and seasonal variation may be important for accurately estimating heat yield at the forest-stand scale.

Implications

Heat yields are more variable than previously assumed and have been overestimated in some models. This could have implications for fireline intensity.

Keywords: calorimetry, energy release, fireline intensity, fuel, fuel moisture, heat of combustion, mountain ash, wildfire.

References

Agee JK, Wright CS, Williamson N, Huff MH (2002) Foliar moisture content of Pacific Northwest vegetation and its relation to wildland fire behavior. Forest Ecology and Management 167, 57-66.
| Crossref | Google Scholar |

Alexander ME (1982) Calculating and interpreting forest fire intensities. Canadian Journal of Botany 60(4), 349-357.
| Crossref | Google Scholar |

Alexander ME (2000) Fire behaviour as a factor in forest and rural fire suppression. Forest Research Bulletin (No. 197, 5). iv + 28 pp. Available at https://www.ruralfireresearch.co.nz/__data/assets/pdf_file/0009/63945/31037-FireBehaviourSuppression.pdf

Añón JAR, López FF, Castiñeiras JP, Ledo JP, Regueira LN (1995) Calorific values and flammability for forest wastes during the seasons of the year. Bioresource Technology 52(3), 269-274.
| Crossref | Google Scholar |

Ashton DH (1975) Studies of litter in Eucalyptus regnans forests. Australian Journal of Botany 23(3), 413-433.
| Crossref | Google Scholar |

Ashton DH (1976) The development of even-aged stands of Eucalyptus regnans F. Muell. in Central Victoria. Australian Journal of Botany 24, 397-414.
| Crossref | Google Scholar |

Ashton DH (1981) Fire in tall open forests (wet sclerophyll forests). In ‘Fire and the Australian Biota’. (Eds AM Gill, RH Groves, IR Noble) pp. 339–366. (The Australian Academy of Science: Canberra, ACT)

Atwater WO, Snell JF (1903) Description of a bomb-calorimeter and method of its use. Journal of the American Chemical Society 25(7), 659-699.
| Crossref | Google Scholar |

Brown TP, Hoylman ZH, Conrad E, Holden Z, Jencso K, Jolly WM (2022) Decoupling between soil moisture and biomass drives seasonal variations in live fuel moisture across co-occurring plant functional types. Fire Ecology 18(1), 14.
| Crossref | Google Scholar |

Burton JE, Cawson J, Noske P, Sheridan G (2019) Shifting states, altered fates: divergent fuel moisture responses after high frequency wildfire in an obligate seeder Eucalypt forest. Forests 10(5), 436.
| Crossref | Google Scholar |

Byram GM (1959) Combustion of forest fuels. In ‘Forest Fire: Control and Use’. (Ed. KP Davis) pp. 61–89. (McGraw-Hill: New York, NY, USA)

Cawson JG, Burton JE, Pickering BJ, Demetriou V, Filkov AI (2023) Quantifying the flammability of living plants at the branch scale: which metrics to use? International Journal of Wildland Fire 32, 1404-1421.
| Crossref | Google Scholar |

Cheney NP, Gould JS, Lachlan Mccaw W, Anderson WR (2012) Predicting fire behaviour in dry eucalypt forest in southern Australia. Forest Ecology and Management 280, 120-131.
| Crossref | Google Scholar |

Dickinson KJM, Kirkpatrick JB (1985) The flammability and energy content of some important plant species and fuel components in the forests of southeastern Tasmania. Journal of Biogeography 12(2), 121-134.
| Crossref | Google Scholar |

Duff TJ, Cawson JG, Cirulis B, Nyman P, Sheridan GJ, Tolhurst KG (2018) Conditional performance evaluation: using wildfire observations for systematic fire simulator development. Forests 9(4), 189.
| Crossref | Google Scholar |

Fogarty LG (1993) ‘The accumulation and structural development of the wiregrass (Tetrarrhena juncea) fuel type in East Gippsland.’ (Fire Management Branch, Department of Conservation and Natural Resources: Vic, Australia)

Frederick DJ, Madgwick HAI, Jurgensen MF, Oliver GR (1985) Dry matter content and nutrient distribution in an age series of Eucalyptus regnans plantations in New Zealand. New Zealand Journal of Forestry Science 15(2), 158-179.
| Google Scholar |

Fujioka FM, Weise DR, Chen SC, Kim SH, Kafatos MC (2021) Reaction intensity partitioning: a new perspective of the National Fire Danger Rating System Energy Release Component. International Journal of Wildland Fire 30(5), 351-364.
| Crossref | Google Scholar |

Gould JS, Lachlan McCaw W, Phillip Cheney N (2011) Quantifying fine fuel dynamics and structure in dry eucalypt forest (Eucalyptus marginata) in Western Australia for fire management. Forest Ecology and Management 262(3), 531-546.
| Crossref | Google Scholar |

Hnilička F, Hniličková H, Hejnák V (2015) Use of combustion methods for calorimetry in the applied physiology of plants. Journal of Thermal Analysis and Calorimetry 120(1), 411-417.
| Crossref | Google Scholar |

Hoffmann WA, Rodrigues AC, Uncles N, Rossi L (2021) Hydraulic segmentation does not protect stems from acute water loss during fire. Tree Physiology 41(10), 1785-1793.
| Crossref | Google Scholar | PubMed |

Hughes MK (1971) Seasonal calorific values from a deciduous woodland in England. Ecology 52(5), 923-926.
| Crossref | Google Scholar |

Janssens ML (2002) Calorimetry. In ‘SFPE handbook of fire protection engineering’, 3rd edn. (Ed. Society of Fire Protection Engineers) pp. 38–62. (National Fire Protection Association: Quincy, MA; Bethesda, MD, USA)

Janssens ML (2005) Chapter 10 - Material flammability. In ‘Handbook of Environmental Degradation of Materials’. (Ed. M Kutz) pp. 207–225. (William Andrew Publishing: Norwich, NY, USA)

Keeley JE (2009) Fire intensity, fire severity and burn severity: a brief review and suggested usage. International Journal of Wildland Fire 18(1), 116-126.
| Crossref | Google Scholar |

Leonard J, Arena A, Opie K, Shrestha DL, Song Y, Swedosh W, Leighton B, Tang H, Yu J, Sarker C, Robertson D, Gomes Da Cruz M, Newnham G (2023) ‘National Bushfire Intelligence Capability (NBIC) Stage 1 Collection.’ (CSIRO) 10.25919/AVJ5-SS75

Madrigal J, Hernando C, Guijarro M, Díez C, Marino E, De Castro AJ (2009) Evaluation of forest fuel flammability and combustion properties with an adapted mass loss calorimeter device. Journal of Fire Sciences 27(4), 323-342.
| Crossref | Google Scholar |

Madrigal J, Guijarro M, Hernando C, Díez C, Marino E (2011) Effective heat of combustion for flaming combustion of Mediterranean forest fuels. Fire Technology 47(2), 461-474.
| Crossref | Google Scholar |

Matthews S (2010) Effect of drying temperature on fuel moisture content measurements. International Journal of Wildland Fire 19(6), 800-802.
| Crossref | Google Scholar |

May N, Ellicott E, Gollner M (2019) An examination of fuel moisture, energy release and emissions during laboratory burning of live wildland fuels. International Journal of Wildland Fire 28(3), 187-197.
| Crossref | Google Scholar |

McAllister S, Grenfell I, Hadlow A, Jolly WM, Finney M, Cohen J (2012) Piloted ignition of live forest fuels. Fire Safety Journal 51, 133-142.
| Crossref | Google Scholar |

McArthur AG, Cheney NP (2015) The characterization of fires in relation to ecological studies, with an Introduction by Neil Burrows. Fire Ecology 11(1), 3-9.
| Crossref | Google Scholar |

Melnik OM, Paskaluk SA, Ackerman MY, Melnik KO, Thompson DK, McAllister SS, Flannigan MD (2022) New in-flame flammability testing method applied to monitor seasonal changes in live fuel. Fire 5(1), 1.
| Crossref | Google Scholar |

Mišić N, Protić M, Raos M, Vukadinović A (2024) A literature review of key findings in fundamental forest fire research. Facta Universitatis, Series: Working and Living Environmental Protection 037. 10.22190/FUWLEP240213003M

Nelson Jr RM (2001) Water relations of forest fuels. In ‘Forest fires’. (Eds EA Johnson, K Miyanishi) pp. 79–149. (Elsevier)

Nolan RH, Foster B, Griebel A, Choat B, Medlyn BE, Yebra M, Younes N, Boer MM (2022) Drought-related leaf functional traits control spatial and temporal dynamics of live fuel moisture content. Agricultural and Forest Meteorology 319(March), 108941.
| Crossref | Google Scholar |

Peel MC, Finlayson BL, McMahon TA (2007) Updated world map of the Köppen-Geiger climate classification. Hydrology and Earth System Sciences 11(5), 1633-1644.
| Crossref | Google Scholar |

Penney G, Habibi D, Cattani M (2019) Firefighter tenability and its influence on wildfire suppression. Fire Safety Journal 106, 38-51.
| Crossref | Google Scholar |

Philpot CW, Mutch RW, Forest I, Range Experiment Station (Ogden U) (1971) ‘The seasonal trends in moisture content, ether extractives, and energy of ponderosa pine and Douglas-fir needles.’ (Intermountain Forest & Range Experiment Station, Forest Service, U.S. Dept. of Agriculture: Ogden, Utah)

Pollet J, Brown A (2007) ‘Fuel moisture sampling guide.’ (Bureau of Land Management, Utah State Office: Salt Lake City, UT, USA)

R Core Team (2021) ‘R: A Language and Environment for Statistical Computing.’ (R Foundation for Statistical Computing: Vienna, Austria)

Rein G (2016) Smoldering combustion. In ‘SFPE Handbook of Fire Protection Engineering’. (Eds MJ Hurley, D Gottuk, JR Hall, K Harada, E Kuligowski, M Puchovsky, J Torero, JM Watts, C Wieczorek) pp. 581–603. (Springer: New York, NY, USA)

Rivera JdD, Davies GM, Jahn W (2012) Flammability and the heat of combustion of natural fuels: a review. Combustion Science and Technology 184(2), 224-242.
| Crossref | Google Scholar |

Rothermel RC (1972) ‘A Mathematical Model for Predicting Fire Spread in Wildland Fuels.’ (Intermountain Forest & Range Experiment Station, Forest Service, US Department of Agriculture)

Shafizadeh F, Bradbury AGW (1979) Smoldering combustion of cellulosic materials. Journal of Thermal Insulation 2(3), 141-152.
| Crossref | Google Scholar |

Slijepcevic A, Anderson WR, Matthews S, Anderson DH (2018) An analysis of the effect of aspect and vegetation type on fine fuel moisture content in eucalypt forest. International Journal of Wildland Fire 27(3), 190-202.
| Crossref | Google Scholar |

Van Wagner CE (1972) Heat of combustion, heat yield, and fire behaviour. Information Report PS-X-35. (Environment Canada Forestry Service)

Van Wagner CE, Stocks BJ, Lawson BD, Alexander ME, Lynham TJ, McAlpine RS (1992) ‘Development and structure of the Canadian forest fire behavior prediction system’. Information Report ST-X-3. (Forestry Canada Fire Danger Group: Ottawa, ON)

Volkova L, Weiss Aparicio AG, Weston CJ (2019) Fire intensity effects on post-fire fuel recovery in Eucalyptus open forests of south-eastern Australia. Science of The Total Environment 670, 328-336.
| Crossref | Google Scholar | PubMed |

Weise DR, White RH, Beall FC, Etlinger M (2005) Use of the cone calorimeter to detect seasonal differences in selected combustion characteristics of ornamental vegetation. International Journal of Wildland Fire 14(3), 321-338.
| Crossref | Google Scholar |

Wickham H (2016) ‘ggplot2: Elegant Graphics for Data Analysis.’ (Springer-Verlag: New York, NY, USA)

Yan P, Xu L, He N (2018) Variation in the calorific values of different plants organs in China. PLoS One 13(6), e0199762.
| Crossref | Google Scholar | PubMed |

Yang J, Wang H, Wang R, Xu J, Huang W, Hu Y (2024) Experimental and theoretical study on the smoldering combustion of size-fractioned forest duff particles. International Journal of Heat and Mass Transfer 231, 125883.
| Crossref | Google Scholar |

Yebra M, Scortechini G, Adeline K, Aktepe N, Almoustafa T, Bar-Massada A, Beget ME, Boer M, Bradstock R, Brown T, Castro FX, Chen R, Chuvieco E, Danson M, Değirmenci CÜ, Delgado-Dávila R, Dennison P, Di Bella C, Domenech O, Féret J-B, Forsyth G, Gabriel E, Gagkas Z, Gharbi F, Granda E, Griebel A, He B, Jolly M, Kotzur I, Kraaij T, Kristina A, Kütküt P, Limousin J-M, Martín MP, Monteiro AT, Morais M, Moreira B, Mouillot F, Msweli S, Nolan RH, Pellizzaro G, Qi Y, Quan X, Resco de Dios V, Roberts D, Tavşanoğlu Ç, Taylor AFS, Taylor J, Tüfekcioğlu İ, Ventura A, Younes Cardenas N (2024) Globe-LFMC 2.0, an enhanced and updated dataset for live fuel moisture content research. Scientific Data 11(1), 332.
| Crossref | Google Scholar | PubMed |