Free Standard AU & NZ Shipping For All Book Orders Over $80!
Register      Login
International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire
RESEARCH ARTICLE

A comparison of bushfire fuel hazard assessors and assessment methods in dry sclerophyll forest near Sydney, Australia

Penny J. Watson A B , Sandra H. Penman A and Ross A. Bradstock A
+ Author Affiliations
- Author Affiliations

A Centre for Environmental Risk Management of Bushfires, University of Wollongong, Wollongong, NSW 2522, Australia.

B Corresponding author. Email: pwatson@uow.edu.au

International Journal of Wildland Fire 21(6) 755-763 https://doi.org/10.1071/WF11034
Submitted: 3 March 2011  Accepted: 17 January 2012   Published: 28 June 2012

Abstract

Over the last decade, fire managers in Australia have embraced the concept of ‘fuel hazard’, and guides for its assessment have been produced. The reliability of these new metrics, however, remains to be determined. This study compared fuel hazard ratings generated by five assessment teams using two Australian hazard assessment methods, in two dry sclerophyll forest sites on Sydney’s urban fringe. Attributes that underpin hazard scores, such as cover and height of various fuel layers, were also assessed. We found significant differences between teams on most variables, including hazard scores. These differences were more apparent when fuel hazard assessments focussed on individual fuel layers than when teams’ assessments were summarised into an overall fuel hazard score. Ratings of surface (litter) fuel hazard were higher when one assessment method was used than when assessors employed the other; however, ratings of elevated (shrub) and bark fuel hazard were relatively consistent across assessment methods. Fuel load estimates based on the two hazard assessment methods differed considerably, with differences between teams also significant. Inconsistency in scoring fuel hazard may lead to discrepancies in a range of management applications, which in turn may affect firefighting safety and effectiveness.

Additional keywords: fire management.


References

Anderson HE (1982) Aids to determining fuel models for estimating fire behavior. USDA Forest Service, Intermountain Forest and Range Experiment Station, General Technical Report INT-122. (Ogden, UT)

Arroyo LA, Pascual C, Manzanera JA (2008) Fire models and methods to map fuel types: the role of remote sensing. Forest Ecology and Management 256, 1239–1252.
Fire models and methods to map fuel types: the role of remote sensing.Crossref | GoogleScholarGoogle Scholar |

Bureau of Meteorology (2010) Climate statistics for Australian sites. New South Wales and ACT. Available at http://www.bom.gov.au/climate/averages/tables/ca_nsw_names.shtml [Verified November 2010]

Burgan RE, Rothermel RC (1984) BEHAVE: fire behavior prediction and fuel modeling system – FUEL subsystem. USDA Forest Service, Intermountain Forest and Range Experiment Station, General Technical Report INT-167. (Ogden, UT)

Burnham KP, Anderson DR (2002) ‘Model Selection and Multi-model Inference: a Practical Information-theoretic Approach.’ (Springer-Verlag: New York)

Bush Fire and Environmental Protection Branch (2010) ‘Visual Fuel Load Guide for Esperance Plains Bioregion and part of the Jarrah Forest Bioregion.’ (Fire and Emergency Services Authority of Western Australia: Perth, WA)

Cheney NP, Gould JS, Knight I (1992) A prescribed burning guide for young regrowth forest of silvertop ash. Forestry Commission of New South Wales, Research Paper Number 16. (Sydney, NSW)

Conroy B (1987) Fuel data for fire management. In ‘Bushfire Management in Natural Areas’. (Ed B. Conroy) pp. 43–59. (National Parks and Wildlife Service: Sydney, NSW)

Conroy B (1993) Fuel management strategies for the Sydney region. In ‘The Burning Question: Fire Management in NSW’. (Ed. J Ross) pp. 73–83. (Department of Community Education, University of New England: Armidale, NSW)

Davies GM, Hamilton A, Smith A, Legg CJ (2008) Using visual obstruction to estimate heathland fuel load and structure. International Journal of Wildland Fire 17, 380–389.
Using visual obstruction to estimate heathland fuel load and structure.Crossref | GoogleScholarGoogle Scholar |

Fox BJ, Fox MD, McKay GM (1979) Litter accumulation after fire in a eucalypt forest. Australian Journal of Botany 27, 157–165.
Litter accumulation after fire in a eucalypt forest.Crossref | GoogleScholarGoogle Scholar |

Fujioka FM, Gill AM, Viegas DX, Wotton BM (2009) Fire danger and fire behaviour modeling systems in Australia, Europe and North America. In ‘Wildland Fires and Air Pollution’. (Eds A Bytnerowicz, M Arbaugh, A Riebau, C Andersen) pp. 471–497. (Elsevier: Amsterdam, the Netherlands)

Gill AM, Christian KR, Moore PHR, Forrester RI (1987) Bushfire incidence, fire hazard and fuel reduction burning. Australian Journal of Ecology 12, 299–306.
Bushfire incidence, fire hazard and fuel reduction burning.Crossref | GoogleScholarGoogle Scholar |

Gorrod EJ, Keith DA (2009) Observer variation in field assessments of vegetation condition: implications for biodiversity conservation. Ecological Management & Restoration 10, 31–40.
Observer variation in field assessments of vegetation condition: implications for biodiversity conservation.Crossref | GoogleScholarGoogle Scholar |

Gould JS, McCaw WL, Cheney NP, Ellis PF, Knight IK, Sullivan AL (2007a) ‘Project Vesta. Fire in Dry Eucalypt Forest: Fuel Structure, Fuel Dynamics and Fire Behaviour.’ (Ensis–CSIRO: Canberra, ACT; and WA Department of Environment and Conservation: Perth)

Gould JS, McCaw WL, Cheney NP, Ellis PF, Matthews S (2007b) ‘Field Guide. Fuel Assessment and Fire Behaviour Prediction in Dry Eucalypt Forest.’ (Ensis–CSIRO: Canberra, ACT; and WA Department of Environment and Conservation: Perth)

Gould JS, McCaw WL, Cheney NP (2011) Quantifying fine fuel dynamics and structure in dry eucalypt forest (Eucalyptus marginata) in Western Australia for fire management. Forest Ecology and Management 262, 531–546.
Quantifying fine fuel dynamics and structure in dry eucalypt forest (Eucalyptus marginata) in Western Australia for fire management.Crossref | GoogleScholarGoogle Scholar |

Hines F, Tolhurst KG, Wilson AAG, McCarthy GJ (2010) Overall fuel hazard assessment guide. 4th edn. Department of Sustainability and Environment, Fire and Adaptive Management Report Number 82. (Melbourne)

Jacobson CR (2010) Use of linguistic estimates and vegetation indices to assess post-fire vegetation regrowth in woodland areas. International Journal of Wildland Fire 19, 94–103.
Use of linguistic estimates and vegetation indices to assess post-fire vegetation regrowth in woodland areas.Crossref | GoogleScholarGoogle Scholar |

Johnson A (2002) ‘North Australian Grassland Fuel Guide.’ (Tropical Savannas Cooperative Research Centre: Darwin)

Keith D (2004) ‘Ocean Shores to Desert Dunes: the Native Vegetation of New South Wales and the ACT.’ (Department of Environment and Conservation: Sydney)

Kercher SM, Frieswyk CB, Zedler JB (2003) Effects of sampling teams and estimation methods on the assessment of plant cover. Journal of Vegetation Science 14, 899–906.
Effects of sampling teams and estimation methods on the assessment of plant cover.Crossref | GoogleScholarGoogle Scholar |

Klimeš L (2003) Scale-dependent variation in visual estimates of grassland plant cover. Journal of Vegetation Science 14, 815–821.
Scale-dependent variation in visual estimates of grassland plant cover.Crossref | GoogleScholarGoogle Scholar |

Luke RH, McArthur AG (1978) ‘Bushfires in Australia.’ (Australian Government Publishing Service: Canberra, ACT)

McArthur AG (1962) Control burning in eucalypt forests. Commonwealth of Australia, Forestry and Timber Bureau Leaflet 80. (Canberra, ACT)

McArthur AG (1967) Fire behaviour in eucalypt forests. Commonwealth of Australia, Forestry and Timber Bureau Leaflet 107. (Canberra, ACT)

McCarthy GJ (2002) ‘Overall Fuel Hazard Guide, Sydney Basin.’ (Fire Management Unit, National Parks and Wildlife Service: Sydney)

McCarthy GJ, Tolhurst KG (1998) Effectiveness of firefighting first-attack operations by the Department of Natural Resources and Environment from 1991/92–1994/95. Department of Natural Resources and Environment, Fire Management Branch Research Report Number 45. (Melbourne)

McCarthy GJ, Tolhurst KG, Chatto K (1999) Overall fuel hazard guide. 3rd edn. Department of Sustainability and Environment, Fire Management Research Report Number 47. (Melbourne)

Noble IR, Bary GAV, Gill AM (1980) McArthur’s fire-danger meters expressed as equations. Australian Journal of Ecology 5, 201–203.
McArthur’s fire-danger meters expressed as equations.Crossref | GoogleScholarGoogle Scholar |

Ottmar RD, Vihnanek RE, Miranda HS, Sato MN, Andrade SMA (2001) Stereo photo series for quantifying cerrado fuels in central Brazil. Volume I. USDA Forest Service, Pacific Northwest Research Station, General Technical Report PNW-GTR-519. (Portland, OR)

Ottmar RD, Sandberg DV, Riccardi CL, Prichard SJ (2007) An overview of the Fuel Characteristic Classification System – quantifying, classifying, and creating fuelbeds for resource planning. Canadian Journal of Forest Research 37, 2383–2393.
An overview of the Fuel Characteristic Classification System – quantifying, classifying, and creating fuelbeds for resource planning.Crossref | GoogleScholarGoogle Scholar |

Peet GB (1971) Litter accumulation in jarrah and karri forests. Australian Forestry 35, 258–262.

Plucinski M, Gould J, McCarthy G, Hollis J (2007) The effectiveness and efficiency of aerial firefighting in Australia. Part 1. Bushfire Cooperative Research Centre Technical Report Number A0701. (Melbourne)

Raison RJ, Woods PV, Khanna PK (1983) Dynamics of fine fuels in recurrently burnt eucalypt forests. Australian Forestry 46, 294–302.

Riccardi CL, Ottmar RD, Sandberg DV, Andreu A, Elman E, Kopper K, Long J (2007) The fuelbed: a key element of the Fuel Characteristic Classification System. Canadian Journal of Forest Research 37, 2394–2412.
The fuelbed: a key element of the Fuel Characteristic Classification System.Crossref | GoogleScholarGoogle Scholar |

Sandberg DV, Riccardi CL, Schaaf MD (2007) Reformulation of Rothermel’s wildland fire behaviour model for heterogeneous fuelbeds. Canadian Journal of Forest Research 37, 2438–2455.
Reformulation of Rothermel’s wildland fire behaviour model for heterogeneous fuelbeds.Crossref | GoogleScholarGoogle Scholar |

Scott JH, Burgan RE (2005) Standard fire behaviour fuel models: a comprehensive set for use with Rothermel’s Surface Fire Spread Model. USDA Forest Service, Rocky Mountain Research Station, General Technical Report RMRS-GTR-153 (Fort Collins, CO)

Sikkink PG, Keane RE (2008) A comparison of five sampling techniques to estimate surface fuel loading in montane forests. International Journal of Wildland Fire 17, 363–379.
A comparison of five sampling techniques to estimate surface fuel loading in montane forests.Crossref | GoogleScholarGoogle Scholar |

Sikkink PG, Lutes DE, Keane RE (2009) Field guide for identifying fuel loading models. USDA Forest Service, Rocky Mountain Research Station, General Technical Report RMRS-GTR-225. (Fort Collins, CO)

Simmons D, Adams R (1986) Fuel dynamics in an urban fringe dry sclerophyll forest in Victoria. Australian Forestry 49, 149–154.

Smith AD (1944) A study of the reliability of range vegetation estimates. Ecology 25, 441–448.
A study of the reliability of range vegetation estimates.Crossref | GoogleScholarGoogle Scholar |

Sneeuwjagt RJ, Peet GB (1998) ‘Forest Fire Behaviour Tables for Western Australia.’ (Department of Conservation and Land Management: Perth)

South Australian Department for Environment and Heritage (2008) ‘Overall Fuel Hazard Guide for South Australia’, 1st edn with amendments. (SA Department for Environment and Heritage: Adelaide, SA)

Sykes JM, Horrill AD, Montford MD (1983) Use of visual cover assessments as quantitative estimators of some British woodland taxa. Journal of Ecology 71, 437–450.
Use of visual cover assessments as quantitative estimators of some British woodland taxa.Crossref | GoogleScholarGoogle Scholar |

Tolhurst KG, Chong DM, Pitts A (2007) ‘PHOENIX – a Dynamic Fire Characterization Simulation Tool.’ (Bushfire Cooperative Research Centre: Melbourne)

van Hees WWS, Mead BR (2000) Ocular estimates of understorey vegetation structure in a closed Picea glauca/Betula papyrifera forest. Journal of Vegetation Science 11, 195–200.
Ocular estimates of understorey vegetation structure in a closed Picea glauca/Betula papyrifera forest.Crossref | GoogleScholarGoogle Scholar |

Wilson AAG (1992) Assessing fire hazard on public lands in Victoria: fire management needs, and practical research objectives. Department of Conservation and Environment, Fire Management Branch Research Report Number 31. (Melbourne)

Wright CS, Ottmar RD, Vihnanek RE (2006) Stereo photo series for quantifying natural fuels, Volume VIII: hardwood, pitch pine, and red spruce/balsam fir types in the north-eastern United States. National Interagency Fire Centre, National Wildfire Coordinating Group PMS 840. (Boise, ID)

Zar JH (1999) ‘Biostatistical Analysis. 4th edn.’ (Prentice Hall: Upper Saddle River, New Jersey)

Zhou Q, Robson M, Pilesjo P (1998) On-the-ground estimation of vegetation cover in Australian rangelands. International Journal of Remote Sensing 19, 1815–1820.
On-the-ground estimation of vegetation cover in Australian rangelands.Crossref | GoogleScholarGoogle Scholar |