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

Live trial performance of the Australian Fire Danger Rating System – Research Prototype

S. Grootemaat A C , S. Matthews A D , B. J. Kenny A E , J. W. Runcie A , J. J. Hollis A F * , S. Sauvage B , P. Fox-Hughes https://orcid.org/0000-0002-0083-9928 B and A. Holmes A
+ Author Affiliations
- Author Affiliations

A New South Wales Rural Fire Service, 4 Murray Rose Avenue, Sydney Olympic Park, NSW 2127, Australia.

B Research Program, Bureau of Meteorology, 7/111 Macquarie Street, Hobart, Tas. 7000, Australia.

C Present address: NSW National Parks and Wildlife Service, 4PS, 12 Darcy Street, Parramatta, NSW 2150, Australia.

D Present address: Nova Systems, 100 William Street, Woolloomooloo, NSW 2011, Australia.

E Nature Conservation Council of NSW, Sydney, NSW 2010, Australia.

F Present address: Department of Biodiversity, Conservation & Attractions, Brain Street, Manjimup, WA 6258, Australia.

* Correspondence to: jennifer.hollis@dbca.wa.gov.au

International Journal of Wildland Fire 33, WF23143 https://doi.org/10.1071/WF23143
Submitted: 11 September 2023  Accepted: 8 February 2024  Published: 28 March 2024

© 2024 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

The Australian Fire Danger Rating System program (AFDRS) has built a new fire danger rating system for Australia. A live trial of the system’s Research Prototype (AFDRSRP), based on fire behaviour thresholds, was run and evaluated between October 2017 and March 2018.

Aims

Live trial results are critically analysed, and knowledge gaps and recommendations for future work discussed.

Methods

Australian bushfire experts assessed wildfires and prescribed burns across a range of vegetation types and weather conditions. Forecast fire danger ratings calculated using: (1) AFDRSRP; and (2) Forest Fire Danger Index (FFDI) and Grassland Fire Danger Index (GFDI) were compared against ratings derived by expert opinion for each evaluation fire (n = 336).

Key results

Overall performance of AFDRSRP was superior to the FFDI/GFDI system (56 vs 43% correct), with a tendency to over-predict rather than under-predict fire potential. AFDRSRP also demonstrated its value to assess fire danger in fuel types not conforming to current grassland or forest models; e.g. for fuels that were grouped to use mallee-heath, spinifex and shrubland fire spread models.

Conclusions

The AFDRSRP live trial was successful, outperforming the existing operational fire danger system.

Implications

Identified improvements would further enhance AFDRSRP performance, ensuring readiness for operational implementation.

Keywords: bushfire risk, fire behaviour, fire behaviour models, fire danger forecast, fire management, forecast system, fuel types, system evaluation.

References

Andrews PL, Loftsgaarden DO, Bradshaw LS (2003) Evaluation of fire danger rating indexes using logistic regression and percentile analysis. International Journal of Wildland Fire 12, 213-226.
| Crossref | Google Scholar |

Blanchi R, Lucas C, Leonard J, Finkele K (2010) Meteorological conditions and wildfire-related houseloss in Australia. International Journal of Wildland Fire 19, 914-926.
| Crossref | Google Scholar |

Blanchi R, Leonard J, Haynes K, Opie K, James M, Kilinc M, Dimer de Oliveira F, Van den Hornet R (2012) Life and house loss database description and analysis. CSIRO EP-129645. (CSIRO, Bushfire CRC report to the Attorney-General’s Department: Melbourne, Australia)

Burgan RE (1988) 1988 Revisions to the 1978 National Fire-Danger Rating System. (USDA Forest Service, Southeastern Forest Experiment Station: Asheville, NC)

Burrows N, Gill M, Sharples J (2018) Development and validation of a model for predicting fire behaviour in spinifex grasslands of arid Australia. International Journal of Wildland Fire 27, 271-279.
| Crossref | Google Scholar |

Chandler C, Cheney P, Thomas P, Trabaud L, Williams D (1983) ‘Fire in forestry: Volume 2 - Forest fire management and organisation.’ (Wiley: New York, NY, USA)

Cheney NP, Gould JS, Catchpole WR (1998) Prediction of Fire Spread in Grasslands. International Journal of Wildland Fire 8, 1-13.
| Crossref | Google Scholar |

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

Cromer DAN (1946) Hygrographic fire danger rating and forecasting. Australian Forestry 10, 52-71.
| Crossref | Google Scholar |

Cruz MG, Gould JS, Alexander ME, Sullivan AL, McCaw WL, Matthews S (2015a) Empirical-based models for predicting head-fire rate of spread in Australian fuel types. Australian Forestry 78, 118-158.
| Google Scholar |

Cruz MG, Gould JS, Kidnie S, Bessell R, Nichols D, Slijepcevic A (2015b) Effects of curing on grassfires: II. Effect of grass senescence on the rate of fire spread. International Journal of Wildland Fire 24, 838-848.
| Crossref | Google Scholar |

Cruz M, Gould J, Hollis J, McCaw W (2018) A Hierarchical Classification of Wildland Fire Fuels for Australian Vegetation Types. Fire 1, 13.
| Crossref | Google Scholar |

Cruz MG, Hurley RJ, Bessell R, Sullivan AL (2020) Fire behaviour in wheat crops – effect of fuel structure on rate of fire spread. International Journal of Wildland Fire 29, 258-271.
| Crossref | Google Scholar |

Cruz MG, Cheney NP, Gould JS, McCaw WL, Kilinc M, Sullivan AL (2021) Wildfire rate of forward spread in eucalypt forest: An empirical, multi-phase model for use in operational conditions. CSIRO Technical Report EP2021-0026. (Canberra, Australia)

Cube Group (2015) ‘National Fire Danger Rating System (NFDRS) Requirements Summary. Version 1.0 (DRAFT).’ (Cube Group: Melbourne, Australia)

Deeming JE, Burgan RE, Cohen JD (1977) The National Fire-Danger Rating System – 1978. (USDA Forest Service, Intermountain Forest and Range Experiment Station: Ogden, Utah)

Douglas DR (1957) ‘Forest fire weather studies in South Australia.’ (Woods and Forests Department: SA)

Du Bois C (1914) ‘Systematic fire protection in the California forests.’ (United States Forest Service: Washington, USA).

Eastaugh CS, Arpaci A, Vacik H (2012) A cautionary note regarding comparisons of fire danger indices. Nat. Hazards Earth Syst. Sci. 12, 927-934.
| Crossref | Google Scholar |

Foley JC (1947) ‘A study of meteorological conditions associated with bush and grass fires and fire protection strategy in Australia.’ (Commonwealth of Australia, Bureau of Meteorology: Melbourne, Australia)

Fox-Hughes P, Harris R, Lee G, Grose M, Bindoff N (2014) Future fire danger climatology for Tasmania, Australia, using a dynamically downscaled regional climate model. International Journal of Wildland Fire 23, 309-321.
| Crossref | Google Scholar |

Gerrity Jr JP (1992) A note on Gandin and Murphy’s equitable skill score. Monthly Weather Review 120, 2709-2712.
| Crossref | Google Scholar |

Gill AM, Stephens SL (2009) Scientific and social challenges for the management of fire-prone wildland–urban interfaces. Environmental Research Letters 4, 034014.
| Crossref | Google Scholar |

Gisborne HT (1928) ‘Measuring forest-fire danger in northern Idaho’. Miscellaneous Publication. (Department of Agriculture: WA, USA)

Gisborne HT (1936a) ‘Measuring fire weather and forest inflammability’. Circular No. 398. (U.S. Department of Agriculture: WA, USA)

Gisborne HT (1936b) The principles of measuring forest fire danger. Journal of Forestry 34, 786-793.
| Crossref | Google Scholar |

Hirsch KG, Martell DL (1996) A review of initial attack fire crew productivity and effectiveness. International Journal of Wildland Fire 6, 199-215.
| Crossref | Google Scholar |

Hirsch KG, Corey PN, Martell DL (1998) Using expert judgment to model initial attack fire crew effectiveness. Forest Science 44, 539-549.
| Google Scholar |

Hirsch KG, Podur JJ, Janser RF, McAlpine RS, Martell DL (2004) Productivity of Ontario initial-attack fire crews: results of an expert-judgement elicitation study. Canadian Journal of Forest Research 34, 705-715.
| Crossref | Google Scholar |

Hollis JJ, Matthews S, Anderson WR, Cruz MG, Fox-Hughes P, Grootemaat S, Kenny BJ, Sauvage S (2024a) A framework for defining fire danger rating to support fire management operations in Australia. International Journal of Wildland Fire 33, In press.
| Crossref | Google Scholar |

Hollis JJ, Matthews S, Cruz MG, Fox-Hughes P, Grootemaat S, Heemstra S, Kenny BJ, Sauvage S (2024b) Introduction to the Australian Fire Danger Rating System. International Journal of Wildland Fire 33, In press.
| Crossref | Google Scholar |

Hurlbert SH (1984) Pseudoreplication and the Design of Ecological Field Experiments. Ecological Monographs 54, 187-211.
| Crossref | Google Scholar |

Jones J, Keating B, Porter C (2001) Approaches to modular model development. Agricultural Systems 70, 421-443.
| Crossref | Google Scholar |

Kenny BJ, Matthews S, Sauvage S, Grootemaat S, Hollis JJ, Fox-Hughes P (2024) Australian Fire Danger Rating System: implementing fire behaviour calculations to forecast fire danger in a research prototype. International Journal of Wildland Fire 33, In press.
| Crossref | Google Scholar |

Lucas C, Hennessy K, Mills GA, Bathols J (2007) ‘Bushfire weather in southeast Australia: Recent trends and projected climate change impacts.’ (Bushfire Cooperative Research Centre, Australian Bureau of Meteorology and CSIRO Marine and Atmospheric Research: Melbourne, Vic.)

Matthews S (2006) A process-based model of fine fuel moisture. International Journal of Wildland Fire 15, 155-168.
| Crossref | Google Scholar |

Matthews S, Fox-Hughes P, Grootemaat S, Hollis JJ, Kenny BJ, Sauvage S (2018) ‘National Fire Danger Rating System: Research Prototype.’ (NSW Rural Fire Service: Lidcombe, NSW, Australia) Available at https://www.afac.com.au/docs/default-source/afdrs/afdrs_research_prototype_report_2019.pdf?sfvrsn=6&download=false

Matthews S, Hollis JJ, Kenny BJ, Grootemaat S, Fox-Hughes P, Sauvage S (2019) ‘Australian Fire Danger Rating System: Research Prototype.’ (NSW Rural Fire Service: Lidcombe, Australia)

McArthur AG (1967) ‘Fire behaviour in eucalypt forests.’ (Forest Research Institute, Forestry and Timber Bureau: Canberra, Australia)

McArthur AG (1973) ‘Forest Fire Danger Meter Mark 5 (published as a circular slide rule).’ (Commonwealth Department of National Development Forestry and Timber Bureau: Canberra, Australia)

McArthur AG (1977) ‘Grassland fire danger meter MkV.’ (Country Fire Authority: Melbourne, Vic.)

McArthur AG, Dwyer LJ (Ed.) (1958) ‘The preparation and use of fire danger tables, Bureau of Meteorology: Fire Weather Conference.’ (Bureau of Meteorology, Melbourne, Australia)

Metrix (2019a) ‘National Fire Danger Rating Desk Research Summary.’ (Metrix: Perth, WA)

Metrix (2019b) ‘National Fire Danger Rating System Social Research: Summary NFDRS Research Report Stages 1 to 3.’ (Metrix, Perth, WA). Available at https://www.afac.com.au/docs/default-source/afdrs/afdrs-social-research-report-v1-0.pdf [Verified 08 March 2024]

Padilla M, Vega-García C (2011) On the comparative importance of fire danger rating indices and their integration with spatial and temporal variables for predicting daily human-caused fire occurrences in Spain. International Journal of Wildland Fire 20, 46-58.
| Crossref | Google Scholar |

Peace M, Greenslade J, Ye H, Kepert JD (2022) Simulations of the Waroona fire using the coupled atmosphere–fire model ACCESS-Fire. Journal of Southern Hemisphere Earth Systems Science 72, 126-138.
| Crossref | Google Scholar |

Peirce CS (1884) The numerical measure of the success of predictions. Science 4, 453-454.
| Crossref | Google Scholar | PubMed |

Pitman A, Narisma G, McAneney J (2007) The impact of climate change on the risk of forest and grassland fires in Australia. Climatic Change 84, 383-401.
| Crossref | Google Scholar |

Plucinski MP (2013) Modelling the probability of Australian grassfires escaping initial attack to aid deployment decisions. International Journal of Wildland Fire 22, 459-468.
| Crossref | Google Scholar |

Plucinski MP, McCarthy GJ, Hollis JJ, Gould JS (2012) The effect of aerial suppression on the containment time of Australian wildfires estimated by fire management personnel. International Journal of Wildland Fire 21, 219-229.
| Crossref | Google Scholar |

Plucinski MP, McCaw WL, Gould JS, Wotton BM (2014) Predicting the number of daily human-caused bushfires to assist suppression planning in south-west Western Australia. International Journal of Wildland Fire 23, 520-531.
| Crossref | Google Scholar |

R Core Team (2018) ‘A language and environment for statistical computing.’ (R Foundation for Statistical Computing: Vienna, Austria) Available at https://www.R-project.org/

Sebastián-López A, Salvador-Civil R, Gonzalo-Jiménez J, SanMiguel-Ayanz J (2008) Integration of socio-economic and environmental variables for modelling long-term fire danger in Southern Europe. European Journal of Forest Research 127, 149-163.
| Crossref | Google Scholar |

Sauvage S, Fox-Hughes P, Matthews S, Kenny BJ, Hollis JJ, Grootemaat S, Runcie JW, Holmes A, Harris RMB, Love PT, Williamson G (2024) Australian Fire Danger Rating System research prototype: a climatology.  International Journal of Wildland Fire 33, In press.
| Crossref | Google Scholar |

Shank HM (1935) A Measure of Forest Fire Hazard in Central Idaho. Journal of Forestry 33, 389-391.
| Google Scholar |

Taylor SW, Alexander ME (2006) Science, technology, and human factors in fire danger rating: the Canadian experience. International Journal of Wildland Fire 15, 121-135.
| Crossref | Google Scholar |

Vasilakos C, Kalabokidis K, Hatzopoulos J, Kallos G, Matsinos Y (2007) Integrating new methods and tools in fire danger rating. International Journal of Wildland Fire 16, 306-316.
| Crossref | Google Scholar |

Viegas DX, Bovio G, Ferreira A, Nosenzo A, Sol B (1999) Comparative study of various methods of fire danger evaluation in southern Europe. International Journal of Wildland Fire 9, 235-246.
| Crossref | Google Scholar |

Walding NG, Williams HTP, McGarvie S, Belcher CM (2018) A comparison of the US National Fire Danger Rating System (NFDRS) with recorded fire occurrence and final fire size. International Journal of Wildland Fire 27, 99-113.
| Crossref | Google Scholar |

Wallace WR (1936) Forest fire wather research in Western Australia. Australian Forestry 1, 17-24.
| Crossref | Google Scholar |

Williams AAJ, Karoly DJ, Tapper N (2001) The sensitivity of Australian fire danger to climate change. Climatic Change 49, 171-191.
| Crossref | Google Scholar |

Willis C, van Wilgen B, Tolhurst KG, Everson C, D’Abreton P, Pero L, Fleming G (2001) ‘The development of a National Fire Danger Rating System for South Africa.’ (CSIR Water, Environment and Foresty Technology: Pretoria, South Africa)