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

Modelling the determinants of ignition in the Sydney Basin, Australia: implications for future management

T. D. Penman A B , R. A. Bradstock A and O. Price A
+ Author Affiliations
- Author Affiliations

A Centre for the Environmental Risk Management of Bushfires, Institute for Conservation Biology and Management, University of Wollongong, Northfields Avenue, Wollongong, NSW 2522, Australia.

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

International Journal of Wildland Fire 22(4) 469-478 https://doi.org/10.1071/WF12027
Submitted: 20 February 2012  Accepted: 16 October 2012   Published: 23 November 2012

Abstract

Variations in area burnt by fire are governed by four processes: biomass growth, availability to burn, fire weather and ignitions. Insight into these how these processes are shaped by biophysical and human influences is required to underpin the development of effective management strategies. Patterns of natural and arson ignitions were examined within the densely populated Sydney region of south-eastern Australia to determine the extent to which management can alter the risk of ignition. Arson ignitions were more likely on ridges in association with human infrastructure, i.e. roads and houses. Lightning ignitions also occurred more frequently on ridges, but at greater distances from human infrastructure. These patterns are consistent with those reported in studies from forested regions in the northern hemisphere. Fuel age had a variable effect with lightning more likely in older fuels (>25 years) and arson more likely in younger fuels (<10 years). Probability of both ignition types increased under more severe fire weather. Climate change is predicted to increase the severity of fire weather and is therefore likely to result in an increase in ignition frequency in the Sydney Basin. Urban expansion is also likely to have significant effects on ignitions and resultant risks to people and property via an increase in the probability of arson ignitions.

Additional keywords : arson, lightning, prescribed fire, risk management.


References

Akaike H (1973) Information theory as an extension of the maximum likelihood principle. In ‘Second International Symposium on Information Theory’, 2–8 September 1971, Tsahkadsor, Armenia. (Eds BN Petrov, F Csádki) pp. 267–281. (Akademiai Kiado: Budapest, Hungary)

Archibald S, Roy DP, Van Wilgen BW, Scholes RJ (2009) What limits fire? An examination of drivers of burnt area in Southern Africa. Global Change Biology 15, 613–630.
What limits fire? An examination of drivers of burnt area in Southern Africa.Crossref | GoogleScholarGoogle Scholar |

Birk EM, Bridges RG (1989) Recurrent fires and fuel accumulation in even-aged blackbutt (Eucalyptus pilularis) forests. Forest Ecology and Management 29, 59–79.
Recurrent fires and fuel accumulation in even-aged blackbutt (Eucalyptus pilularis) forests.Crossref | GoogleScholarGoogle 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.
Meteorological conditions and wildfire-related houseloss in Australia.Crossref | GoogleScholarGoogle Scholar |

Boer MM, Sadler RJ, Wittkuhn R, McCaw L, Grierson PF (2009) Long-term impacts of prescribed burning on regional extent and incidence of wildfires – evidence from fifty years of active fire management in SW Australian forests. Forest Ecology and Management 259, 132–142.
Long-term impacts of prescribed burning on regional extent and incidence of wildfires – evidence from fifty years of active fire management in SW Australian forests.Crossref | GoogleScholarGoogle Scholar |

Bond WJ, Woodward FI, Midgley GF (2005) The global distribution of ecosystems in a world without fire. New Phytologist 165, 525–538.
The global distribution of ecosystems in a world without fire.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BD2M%2Fpt1OktQ%3D%3D&md5=bd3d76d84f18b8e5e453fde42e8e2efcCAS |

Bradstock RA (2010) A biogeographic model of fire regimes in Australia: current and future implications. Global Ecology and Biogeography 19, 145–158.
A biogeographic model of fire regimes in Australia: current and future implications.Crossref | GoogleScholarGoogle Scholar |

Bradstock RA, Cohn JS, Gill AM, Bedward M, Lucas C (2009) Prediction of the probability of large fires in the Sydney region of south-eastern Australia using fire weather. International Journal of Wildland Fire 18, 932–943.
Prediction of the probability of large fires in the Sydney region of south-eastern Australia using fire weather.Crossref | GoogleScholarGoogle Scholar |

Bradstock RA, Cary GJ, Davies I, Lindenmayer DB, Price OF, Williams RJ (2012) Wildfires, fuel treatment and risk mitigation in Australian eucalypt forests: Insights from landscape-scale simulation. Journal of Environmental Management 105, 66–75.
Wildfires, fuel treatment and risk mitigation in Australian eucalypt forests: Insights from landscape-scale simulation.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BC38rnvVGitA%3D%3D&md5=9be077cf80279ae4344e6645668e067cCAS |

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

Caccamo G, Chisholm LA, Bradstock RA, Puotinen ML (2012) Using remotely-sensed fuel connectivity patterns as a tool for fire danger monitoring. Geophysical Research Letters 39, L01302
Using remotely-sensed fuel connectivity patterns as a tool for fire danger monitoring.Crossref | GoogleScholarGoogle Scholar |

Cary GJ, Flannigan MD, Keane RE, Bradstock RA, Davies ID, Lenihan JM, Li C, Logan KA, Parsons RA (2009) Relative importance of fuel management, ignition management and weather for area burned: evidence from five landscape-fire-succession models. International Journal of Wildland Fire 18, 147–156.
Relative importance of fuel management, ignition management and weather for area burned: evidence from five landscape-fire-succession models.Crossref | GoogleScholarGoogle Scholar |

Catchpole W (2002) Fire properties and burn patterns in heterogeneous landscapes. In ‘Flammable Australia: the Fire Regimes and Biodiversity of a Continent’. (Eds R Bradstock, J Williams, A Gill) pp. 49–76. (Cambridge University Press: Cambridge, UK)

Chatterjee S, Hadi AS, Price B (2000) ‘Regression Analysis by Example.’ (Wiley: New York)

Cochrane MA, Moran CJ, Wimberly MC, Baer AD, Finney MA, Beckendorf KL, Eidenshink J, Zhu Z (2012) Estimation of wildfire size and risk changes due to fuels treatments. International Journal of Wildland Fire 21, 357–367.
Estimation of wildfire size and risk changes due to fuels treatments.Crossref | GoogleScholarGoogle Scholar |

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

de Vasconcelos MJP, Silva S, Tome M, Alvim M, Pereira JMC (2001) Spatial prediction of fire ignition probabilities: comparing logistic regression and neural networks. Photogrammetric Engineering and Remote Sensing 67, 73–81.

Elith J, Graham CH, Anderson RP, Dudík M, Ferrier S, Guisan A, Hijmans RJ, Huettmann F, Leathwick JR, Lehmann A, Li J, Lohmann LG, Loiselle BA, Manion G, Moritz C, Nakamura M, Nakazawa Y, Overton JM, Peterson AT, Phillips SJ, Richardson K, Scachetti-Pereira R, Schapire RE, Soberón J, Williams S, Wisz MS, Zimmermann NE (2006) Novel methods improve prediction of species’ distributions from occurrence data. Ecography 29, 129–151.
Novel methods improve prediction of species’ distributions from occurrence data.Crossref | GoogleScholarGoogle Scholar |

Fernandes PM, Botelho HS (2003) A review of prescribed burning effectiveness in fire hazard reduction. International Journal of Wildland Fire 12, 117–128.
A review of prescribed burning effectiveness in fire hazard reduction.Crossref | GoogleScholarGoogle Scholar |

Fernandes PM, Loureiro C, Magalhães M, Ferreira P, Fernandes M (2012) Fuel age, weather and burn probability in Portugal. International Journal of Wildland Fire 21, 380–384.
Fuel age, weather and burn probability in Portugal.Crossref | GoogleScholarGoogle Scholar |

Fontaine JB, Westcott VC, Enright NJ, Lade JC, Miller BP (2012) Fire behaviour in south-western Australian shrublands: evaluating the influence of fuel age and fire weather. International Journal of Wildland Fire 21, 385–395.
Fire behaviour in south-western Australian shrublands: evaluating the influence of fuel age and fire weather.Crossref | GoogleScholarGoogle Scholar |

Fried J, Torn M, Mills E (2004) The impact of climate change on wildfire severity: a regional forecast for Northern California. Climatic Change 64, 169–191.
The impact of climate change on wildfire severity: a regional forecast for Northern California.Crossref | GoogleScholarGoogle Scholar |

Granström A (1993) Spatial and temporal variation in lightning ignitions in Sweden. Journal of Vegetation Science 4, 737–744.
Spatial and temporal variation in lightning ignitions in Sweden.Crossref | GoogleScholarGoogle Scholar |

Goldammer JG, Price C (1998) Potential impacts of climate change on fire regimes in the tropics based on Magicc and a GISS GCM-derived lightning model. Climatic Change 39, 273–296.
Potential impacts of climate change on fire regimes in the tropics based on Magicc and a GISS GCM-derived lightning model.Crossref | GoogleScholarGoogle Scholar |

Gralewicz NJ, Nelson TA, Wulder MA (2011) Spatial and temporal patterns of wildfire ignitions in Canada from 1980 to 2006. International Journal of Wildland Fire

Haidinger TL, Keeley JE (1993) Role of high fire frequency in destruction of mixed chaparral. Madrono 40, 141–147.

Haworth RJ (2003) The shaping of Sydney by its urban geology. Quaternary International 103, 41–55.
The shaping of Sydney by its urban geology.Crossref | GoogleScholarGoogle Scholar |

Hély C, Bergeron Y, Flannigan MD (2000) Coarse woody debris in the southeastern Canadian boreal forest: composition and load variations in relation to stand replacement. Canadian Journal of Forest Research 30, 674–687.
Coarse woody debris in the southeastern Canadian boreal forest: composition and load variations in relation to stand replacement.Crossref | GoogleScholarGoogle Scholar |

Hennessy KJ, Lucas C, Nicholls N, Bathols J, Suppiah R, Ricketts J (2005) Climate change impacts on fire-weather in south-east Australia. CSIRO Marine and Atmospheric Research, Bushfire CRC and Australian Bureau of Meteorology. (Melbourne) Available at http://laptop.deh.gov.au/soe/2006/publications/drs/pubs/334/lnd/ld_24_climate_change_impacts_on_fire_weather.pdf [Verified 23 October 2012]

Hering A, Bell C, Genton M (2009) Modeling spatio-temporal wildfire ignition point patterns. Environmental and Ecological Statistics 16, 225–250.
Modeling spatio-temporal wildfire ignition point patterns.Crossref | GoogleScholarGoogle Scholar |

Hughes R, Mercer D (2009) Planning to reduce risk: the wildfire management overlay in Victoria, Australia. Geographical Research 47, 124–141.
Planning to reduce risk: the wildfire management overlay in Victoria, Australia.Crossref | GoogleScholarGoogle Scholar |

Keeley JE (2002) Fire management of California shrubland landscapes. Environmental Management 29, 395–408.
Fire management of California shrubland landscapes.Crossref | GoogleScholarGoogle Scholar |

Keeley JE, Fotheringham CJ, Morais M (1999) Reexamining fire suppression impacts on brushland fire regimes. Science 284, 1829–1832.
Reexamining fire suppression impacts on brushland fire regimes.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK1MXjvFSqsL4%3D&md5=898213d2b720cb2b20170a4d98f0d6aaCAS |

Keith DA (1996) Fire-driven extinction of plant populations: a synthesis of theory and review of evidence from Australian vegetation. Proceedings of the Linnean Society of New South Wales 116, 37–78.

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

Kilinc M, Beringer J (2007) The spatial and temporal distribution of lightning strikes and their relationship with vegetation type, elevation, and fire scars in the Northern Territory. Journal of Climate 20, 1161–1173.
The spatial and temporal distribution of lightning strikes and their relationship with vegetation type, elevation, and fire scars in the Northern Territory.Crossref | GoogleScholarGoogle Scholar |

Larjavaara M, Kuuluvainen T, Tanskanen H, Venalainen A (2004) Variation in forest fire ignition probability in Finland. Silva Fennica 38, 253–266.

Liedloff AC, Cook GD (2007) Modelling the effects of rainfall variability and fire on tree populations in an Australian tropical savanna with the Flames simulation model. Ecological Modelling 201, 269–282.
Modelling the effects of rainfall variability and fire on tree populations in an Australian tropical savanna with the Flames simulation model.Crossref | GoogleScholarGoogle Scholar |

Lindenmayer DB, Incoll RD, Cunningham RB, Donnelly CF (1999) Attributes of logs on the floor of Australian mountain ash (Eucalyptus regnans) forests of different ages. Forest Ecology and Management 123, 195–203.
Attributes of logs on the floor of Australian mountain ash (Eucalyptus regnans) forests of different ages.Crossref | GoogleScholarGoogle Scholar |

Martell DL, Otukol S, Stocks BJ (1987) A logistic model for predicting daily people-caused forest fire occurrence in Ontario. Canadian Journal of Forest Research 17, 394–401.
A logistic model for predicting daily people-caused forest fire occurrence in Ontario.Crossref | GoogleScholarGoogle Scholar |

Matthews S, Gould J, McCaw L (2010) Simple models for predicting dead fuel moisture in eucalyptus forests. International Journal of Wildland Fire 19, 459–467.
Simple models for predicting dead fuel moisture in eucalyptus forests.Crossref | GoogleScholarGoogle Scholar |

McArthur AG (1967) Fire Behaviour in Eucalypt Forest. Australian Forestry and Timber Bureau, Leaflet Number 107. (Canberra)

McDonald P, Kippen R (2002) Scenarios for the future population of Sydney. The Australian Geographer 33, 263–280.
Scenarios for the future population of Sydney.Crossref | GoogleScholarGoogle Scholar |

Mees R (1991) Is arson associated with severe fire weather in Southern California? International Journal of Wildland Fire 1, 97–100.
Is arson associated with severe fire weather in Southern California?Crossref | GoogleScholarGoogle Scholar |

Nash CH, Johnson EA (1996) Synoptic climatology of lightning-caused forest fires in subalpine and boreal forests. Canadian Journal of Forest Research 26, 1859–1874.
Synoptic climatology of lightning-caused forest fires in subalpine and boreal forests.Crossref | GoogleScholarGoogle Scholar |

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 |

Parisien M-A, Miller C, Ager A, Finney M (2010) Use of artificial landscapes to isolate controls on burn probability. Landscape Ecology 25, 79–93.
Use of artificial landscapes to isolate controls on burn probability.Crossref | GoogleScholarGoogle Scholar |

Pausas JG (2004) Changes in fire and climate in the Eastern Iberian Peninsula (Mediterranean Basin). Climatic Change 63, 337–350.
Changes in fire and climate in the Eastern Iberian Peninsula (Mediterranean Basin).Crossref | GoogleScholarGoogle Scholar |

Penman TD, York A (2010) Climate and recent fire history affect fuel loads in Eucalyptus forests: implications for fire management in a changing climate. Forest Ecology and Management 260, 1791–1797.
Climate and recent fire history affect fuel loads in Eucalyptus forests: implications for fire management in a changing climate.Crossref | GoogleScholarGoogle Scholar |

Penman TD, Binns DL, Shiels RJ, Allen RM, Kavanagh RP (2008) Changes in understorey plant species richness following logging and prescribed burning in shrubby dry sclerophyll forests of south-eastern Australia. Austral Ecology 33, 197–210.
Changes in understorey plant species richness following logging and prescribed burning in shrubby dry sclerophyll forests of south-eastern Australia.Crossref | GoogleScholarGoogle Scholar |

Penman TD, Christie FJ, Andersen AN, Bradstock RA, Cary GJ, Henderson MK, Price O, Tran C, Wardle GM, Williams RJ, York A (2011a) Prescribed burning: how can it work to conserve the things we value? International Journal of Wildland Fire 20, 721–733.
Prescribed burning: how can it work to conserve the things we value?Crossref | GoogleScholarGoogle Scholar |

Penman TD, Price O, Bradstock RA (2011b) Bayes nets as a method for analysing the influence of management actions in fire planning. International Journal of Wildland Fire 20, 909–920.
Bayes nets as a method for analysing the influence of management actions in fire planning.Crossref | GoogleScholarGoogle 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.
The effect of aerial suppression on the containment time of Australian wildfires estimated by fire management personnel.Crossref | GoogleScholarGoogle Scholar |

Podur J, Martell DL, Csillag F (2003) Spatial patterns of lightning-caused forest fires in Ontario, 1976–1998. Ecological Modelling 164, 1–20.
Spatial patterns of lightning-caused forest fires in Ontario, 1976–1998.Crossref | GoogleScholarGoogle Scholar |

Potts RJ, Keenan TD, May PT (2000) Radar characteristics of storms in the Sydney area. Monthly Weather Review 128, 3308–3319.
Radar characteristics of storms in the Sydney area.Crossref | GoogleScholarGoogle Scholar |

Prestemon JP, Butry DT (2005) Time to burn: modeling wildland arson as an autoregressive crime function. American Journal of Agricultural Economics 87, 756–770.
Time to burn: modeling wildland arson as an autoregressive crime function.Crossref | GoogleScholarGoogle Scholar |

Prestemon JP, Butry DT (2008) Wildland arson management. In ‘The Economics of Forest Disturbances’. (Eds TP Holmes, JP Prestemon, KL Abt) pp. 123–147. (Springer: Dordrecht, the Netherlands)

Price OF, Bradstock RA (2010) The effect of fuel age on the spread of fire in sclerophyll forest in the Sydney region of Australia. International Journal of Wildland Fire 19, 35–45.
The effect of fuel age on the spread of fire in sclerophyll forest in the Sydney region of Australia.Crossref | GoogleScholarGoogle Scholar |

Price OF, Bradstock RA (2011) The influence of weather and fuel management on the annual extent of unplanned fires in the Sydney region of Australia. International Journal of Wildland Fire 20, 142–151.

Price C, Rind D (1994) Possible implications of global climate change on global lightning distributions and frequencies. Journal of Geophysical Research 99, 10,823–10,831.
Possible implications of global climate change on global lightning distributions and frequencies.Crossref | GoogleScholarGoogle Scholar |

R Development Core Team (2011) ‘R: a Language and Environment for Statistical Computing.’ (R Foundation for Statistical Computing: Vienna, Austria)

Renard Q, Pélissier R, Ramesh BR, Kodandapani N (2012) Environmental susceptibility model for predicting forest fire occurrence in the Western Ghats of India. International Journal of Wildland Fire 21, 368–379.
Environmental susceptibility model for predicting forest fire occurrence in the Western Ghats of India.Crossref | GoogleScholarGoogle Scholar |

Renkin RA, Despain DG (1992) Fuel moisture, forest type, and lightning-caused fire in Yellowstone National Park. Canadian Journal of Forest Research 22, 37–45.
Fuel moisture, forest type, and lightning-caused fire in Yellowstone National Park.Crossref | GoogleScholarGoogle Scholar |

Robin X, Turck N, Hainard A, Tiberti N, Lisacek F, Sanchez J-C, Müller M (2011) pROC: an open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinformatics 12, 77
pROC: an open-source package for R and S+ to analyze and compare ROC curves.Crossref | GoogleScholarGoogle Scholar |

Salvador R, Lloret F, Pons X, Pinol J (2005) Does fire occurrence modify the probability of being burned again? A null hypothesis test from Mediterranean ecosystems in NE Spain. Ecological Modelling 188, 461–469.
Does fire occurrence modify the probability of being burned again? A null hypothesis test from Mediterranean ecosystems in NE Spain.Crossref | GoogleScholarGoogle Scholar |

Sullivan AL, McCaw WL, Cruz MG, Matthews S, Ellis PF (2012) Fuel, fire weather and fire behaviour in Australian Ecosystems In ‘Flammable Australia: Fire Regimes, Biodiversity and Ecosystems in a Changing World’. (Eds RA Bradstock, AM Gill, RJ Williams) pp. 51–78. (CSIRO publishing: Melbourne)

Syphard AD, Radeloff VC, Keeley JE, Hawbaker TJ, Clayton MK, Stewart SI, Hammer RB (2007) Human influence on California fire regimes. Ecological Applications 17, 1388–1402.
Human influence on California fire regimes.Crossref | GoogleScholarGoogle Scholar |

Syphard AD, Radeloff VC, Keuler NS, Taylor RS, Hawbaker TJ, Stewart SI, Clayton MK (2008) Predicting spatial patterns of fire on a southern California landscape. International Journal of Wildland Fire 17, 602–613.
Predicting spatial patterns of fire on a southern California landscape.Crossref | GoogleScholarGoogle Scholar |

Theobald DM, Romme WH (2007) Expansion of the US wildland–urban interface. Landscape and Urban Planning 83, 340–354.
Expansion of the US wildland–urban interface.Crossref | GoogleScholarGoogle Scholar |

Thuiller W, Araujo MB, Lavorel S (2003) Generalized models vs. classification tree analysis: predicting spatial distributions of plant species at different scales. Journal of Vegetation Science 14, 669–680.
Generalized models vs. classification tree analysis: predicting spatial distributions of plant species at different scales.Crossref | GoogleScholarGoogle Scholar |

Van Loon AP (1977) Bushland fuels quantities in the Blue Mountains – Litter and Understorey. Forest Commission of New South Wales, Research Note Number 33. (Sydney)

Verdon D, Kiem A, Franks S (2004) Multi-decadal variability of forest fire risk – eastern Australia. International Journal of Wildland Fire 13, 165–171.
Multi-decadal variability of forest fire risk – eastern Australia.Crossref | GoogleScholarGoogle Scholar |

Williams RJ, Cook GD, Gill AM, Moore PHR (1999) Fire regime, fire intensity and tree survival in a tropical savanna in northern Australia. Australian Journal of Ecology 24, 50–59.
Fire regime, fire intensity and tree survival in a tropical savanna in northern Australia.Crossref | GoogleScholarGoogle Scholar |

Wintle BA, Elith J, Potts JM (2005) Fauna habitat modelling and mapping: a review and case study in the Lower Hunter Central Coast region of NSW. Austral Ecology 30, 719–738.
Fauna habitat modelling and mapping: a review and case study in the Lower Hunter Central Coast region of NSW.Crossref | GoogleScholarGoogle Scholar |

Wood SN (2006) ‘Generalized Additive Models: An Introduction with R.’ (Chapman and Hall/CRC: Boca Raton, FL)

Wotton BM, Martell DL, Logan KA (2003) Climate change and people-caused forest fire occurrence in Ontario. Climatic Change 60, 275–295.
Climate change and people-caused forest fire occurrence in Ontario.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3sXnvVOrs78%3D&md5=2162fc11dd5052df2d0fa81213353eb6CAS |

Wotton BM, Nock CA, Flannigan MD (2010) Forest fire occurrence and climate change in Canada. International Journal of Wildland Fire 19, 253–271.
Forest fire occurrence and climate change in Canada.Crossref | GoogleScholarGoogle Scholar |

Yang J, He HS, Shifley SR, Gustafson EJ (2007) Spatial patterns of modern period human-caused fire occurrence in the Missouri Ozark Highlands. Forest Science 53, 1–15.

Zuur AF, Ieno EN, Walker NJ, Saveliev AA, Smith GM (2009) ‘Mixed Effects Models and Extensions in Ecology with R.’ (Springer: New York)