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Journal of the International Association of Wildland Fire
RESEARCH ARTICLE

Calibrating the Fine Fuel Moisture Code for grass ignition potential in Sumatra, Indonesia

William J. de Groot A C , Wardati B and Yonghe Wang A
+ Author Affiliations
- Author Affiliations

A Canadian Forest Service, 5320-122 Street, Edmonton, Alberta, Canada T6H 3S5.

B University of Riau, Pekanbaru, Sumatra, Indonesia.

C Corresponding author. Telephone: +1 780 435 7289; fax: +1 780 435 7359; email: bill.degroot@nrcan.gc.ca

International Journal of Wildland Fire 14(2) 161-168 https://doi.org/10.1071/WF04054
Submitted: 1 October 2004  Accepted: 7 February 2005   Published: 17 May 2005

Abstract

Grass moisture and ignition studies were conducted in central Sumatra, Indonesia, to develop an indicator of grass ignition potential using the Fine Fuel Moisture Code (FFMC) of the Canadian Forest Fire Weather Index System. Moisture content of live and dead grass was measured at three sites every 6 days over an 8-month period. Grass curing was highly variable but averaged 37–39% and often exceeded 50% from April to mid-August. Grass fuel loads averaged 420–722 g/m2. There was a highly significant decrease in dead grass moisture content with increasing FFMC, decreasing grass height, and decreasing total grass biomass. The FFMC was the most influential factor, explaining 54–61% of the dead grass moisture content variation. Ignition tests were applied to live and dead grass samples with specific moisture contents. The ignition threshold of dead and live grass occurred at 35.4% and 27.8% moisture content, respectively. The dead grass ignition threshold corresponded to FFMC values of 81.0–83.3 at the three study sites. Of historical hot spots in South-east Asia, 86% occurred when the FFMC was ≥78, representing the lower 95% confidence interval of the dead grass ignition threshold. The FFMC was calibrated using experimental results for fire management applications.

Additional keywords: fire danger rating; fuel moisture; ignition probability; Imperata cylindrica; moisture of extinction; test fires.


References


Agresti A (2002) ‘Categorical data analysis.’ (John Wiley & Sons: New York)

Andreae MO (1997) Emissions of trace gases and aerosols from southern African savanna fires. In ‘Fire in southern African savannas: ecological and atmospheric perspectives’. (Eds BW van Wilgen, MO Andreae, JG Goldammer, JA Lindesay) pp. 161–184. (Witwatersrand University Press: Johannesburg)

Blackmarr WH (1972) ‘Moisture content influences ignitability of slash pine litter.’ USDA Forest Service, Research Note SE-173.

Buongiorno A, Arino O, Zehner C, Colagrande P , Goryl P (1997) ERS-2 monitors exceptional fire event in South-East Asia. Earth Observation Quarterly  56, 1–5.
Cheney NP (1981) Fire behaviour. In ‘Fire and the Australian biota’. (Eds AM Gill, RH Groves, IR Noble) pp. 151–175. (Australian Academy of Science: Canberra)

Cheney NP, Sullivan A (1997) ‘Grassfires: fuel, weather and fire behaviour.’ (CSIRO Publishing: Collingwood, Australia)

Cheney NP, Gould JS , Catchpole WR (1993) The influence of fuel, weather and fire shape variables on fire-spread in grasslands. International Journal of Wildland Fire  3, 31–44.
Goldammer JG (1993) Historical biogeography of fire: tropical and subtropical. In ‘Fire in the environment: the ecological, atmospheric, and climatic importance of vegetation fires’. (Eds PJ Crutzen, JG Goldammer) pp. 297–314. (John Wiley & Sons: Toronto)

Hao WM , Liu MH (1994) Spatial and temporal distribution of tropical biomass burning. Global Biogeochemical Cycles  8, 495–503.
Crossref | GoogleScholarGoogle Scholar | Huet S, Bouvier A, Gruet M-A, Jolivet E (1996) ‘Statistical tools for nonlinear regression: a practical guide with S-PLUS examples.’ (Springer-Verlag: New York).

Lawson BD, Armitage OB, Dalrymple GN (1994) Ignition probabilities for simulated people-caused fires in British Columbia’s lodgepole pine and white spruce-subalpine fir forests. In ‘Proceedings of the 12th international conference on fire and forest meteorology’. pp. 493–505. SAF Publication 94–02. (Society of American Foresters: Bethesda, MD)

Loveland TR, Reed BC, Brown JF, Ohlen DO, Zhu Z, Yang L , Merchant JW (2000) Development of a global land cover characteristics database and IGBP Dros. Inf. Serv.Cover from 1 km AVHRR data. International Journal of Remote Sensing  21, 1303–1330.
Crossref | GoogleScholarGoogle Scholar | Luke RH, McArthur AG (1978) ‘Bushfires in Australia.’ (CSIRO: Canberra)

Marsden-Smedley JB , Catchpole WR (1995) Fire behaviour modelling in Tasmanian buttongrass moorlands II. Fire behaviour. International Journal of Wildland Fire  5, 215–228.
Mueller-Dombois D, Goldammer JG (1990) Fire in tropical ecosystems and global environmental change: an introduction. In ‘Fire in the tropical biota. Ecosystem processes and global challenges’. (Ed. JG Goldammer) pp. 1–10. (Springer-Verlag: New York)

Paul PM (1969) ‘Field practices in forest fire danger rating.’ Canadian Forest Service, Information Report FF-X-20.

Pereira JMC (2003) Remote sensing of burned areas in tropical savannas. International Journal of Wildland Fire  12, 259–270.
Crossref | GoogleScholarGoogle Scholar | Philander SGH (1990) ‘El Nino, La Nina, and the Southern Oscillation.’ International Geophysics Series 46. (Academic Press: San Diego)

Pickford S, Suharti M , Wibowo A (1992) A note on fuelbeds and fire behavior in alang-alang (Imperata cylindrica). International Journal of Wildland Fire  2, 41–46.
Rothermel RC (1972) ‘A mathematical model for predicting fire spread in wildland fuels.’ USDA Forest Service, Research Paper INT-115.

Russell RN, Pech G (1968) ‘Development of burning index tables for white spruce-alpine fir and lodgepole pine forest covertypes in the Prince George forest district (an establishment and progress report).’ Internal Report BC-8. (Department of Forestry and Rural Development: Victoria, BC)

SAS Institute (2001) ‘SAS/STAT guide for personal computers, version 8.’ (SAS Institute, Inc.: Cary, NC)

Siegert F , Hoffmann AA (2000) The 1998 forest fires in East Kalimantan (Indonesia): a quantitative evaluation using high resolution, multitemporal ERS-2 SAR images and NOAA-AVHRR hotspot data. Remote Sensing of Environment  72, 64–77.
Crossref | GoogleScholarGoogle Scholar | Soares RV (1990) Fire in some tropical and subtropical South American vegetation types: an overview. In ‘Fire in the tropical biota. Ecosystem processes and global challenges’. (Ed. JG Goldammer) pp. 63–81. (Springer-Verlag: New York)

SYSTAT (2000) ‘SYSTAT Software Version 10.’ (SPSS Inc.: Chicago)

Van Wagner CE (1983) Fire behavior in northern conifer forests and shrublands. In ‘SCOPE 18: the role of fire in northern circumpolar ecosystems’. (Eds RW Wein, DA MacLean) pp. 65–80. (John Wiley & Sons: Toronto)

Van Wagner CE (1987) ‘Development and structure of the Canadian Forest Fire Weather Index System.’ Canadian Forest Service, Technical Report 35.

Van Wilgen BW, Everson CS, Trollope WSW (1990) Fire management in southern Africa: some examples of current objectives, practices, and problems. In ‘Fire in the tropical biota. Ecosystem processes and global challenges’. (Ed. JG Goldammer) pp. 179–215. (Springer-Verlag: New York)

Viney NR (1991) A review of fine fuel moisture modelling. International Journal of Wildland Fire  1, 215–234.
Walker J (1981) Fuel dynamics in Australian vegetation. In ‘Fire and the Australian biota’. (Eds AM Gill, RH Groves, IR Noble) pp. 101–127. (Australian Academy of Science: Canberra)

Wang Y, Field RD , Roswintiarti O (2004) Trends in atmospheric haze induced by peat fires in Sumatra Island, Indonesia and El Niño phenomenon from 1973 to 2003. Geophysical Research Letters  31, L04103.
Crossref | GoogleScholarGoogle Scholar | Wright JG (1932) ‘Forest fire hazard research as developed and conducted at the Petawawa Forest Experiment Station.’ Information Report FF-X-5. (Forest Fire Research Institute: Ottawa)