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International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire
REVIEW

Dead fuel moisture research: 1991–2012

Stuart Matthews
+ Author Affiliations
- Author Affiliations

A CSIRO Ecosystem Sciences and CSIRO Climate Adaptation Flagship, GPO Box 664, Acton, ACT 2601, Australia.

B Bushfire CRC, 340 Albert Street, East Melbourne, Vic. 3002, Australia.

C University of Sydney, Faculty of Agriculture and Environment, 1 Central Avenue, Eveleigh, NSW 2015, Australia. Email: stuart.matthews@csiro.au

International Journal of Wildland Fire 23(1) 78-92 https://doi.org/10.1071/WF13005
Submitted: 10 January 2013  Accepted: 15 June 2013   Published: 10 September 2013

Abstract

The moisture content of dead fuels is an important determinant of many aspects of bushfire behaviour. Understanding the relationships of fuel moisture with weather, fuels and topography is useful for fire managers and models of fuel moisture are an integral component of fire behaviour models. This paper reviews research into dead fuel moisture for the period 1991–2012. The first half of the paper deals with experimental investigation of fuel moisture including an overview of the physical processes that affect fuel moisture, laboratory measurements used to quantify these processes, and field measurements of the dependence of fuel moisture on weather, vegetation structure and topography. The second set of topics examine models of fuel moisture including empirical models derived from field measurements, process-based models of vapour exchange and fuel energy and water balance, and experimental testing of both types of models. Remaining knowledge gaps and future research problems are also discussed. Opportunities for exciting research in the future exist for basic fuel moisture processes, developing new methods for applying models to fire behaviour prediction, and linking fuel moisture and weather forecast models.

Additional keywords: forest litter, fuel moisture content, model, review.


References

Albini F (1976) Estimating wildfire behavior and effects. USDA Forest Service, Intermountain Forest and Range Experiment Station, General Technical Report INT-30. (Ogden, UT)

Alves MVG, Batista AC, Soares RV, Ottaviano M, Marchetti M (2009) Fuel moisture sampling and modeling in Pinus elliottii Engelm. plantations based on weather conditions in Parana, Brazil. iForest-Biogeosciences and Forestry 2, 99–103.
Fuel moisture sampling and modeling in Pinus elliottii Engelm. plantations based on weather conditions in Parana, Brazil.Crossref | GoogleScholarGoogle Scholar |

Anderson HE (1990a) Moisture diffusivity and response time in fine forest fuels. Canadian Journal of Forest Research 20, 315–325.
Moisture diffusivity and response time in fine forest fuels.Crossref | GoogleScholarGoogle Scholar |

Anderson HE (1990b) Moisture diffusivity and response time in fine forest fuels. Canadian Journal of Forest Research 20, 315–325.
Moisture diffusivity and response time in fine forest fuels.Crossref | GoogleScholarGoogle Scholar |

Anderson HE (1990c) Predicting equilibrium moisture content of some foliar forest litter in the northern Rocky Mountains. USDA Forest Service, Intermountain Forest and Range Experiment Station, Research Paper INT-429. (Ogden, UT)

Anderson KR (2009) A comparison of hourly Fine Fuel Moisture Code calculations within Canada. In ‘Eighth Symposium on Fire and Forest Meteorology’, 13–15 October 2009, Kalispell, MT. (American Meteorological Society: Boston, MA) Available at https://ams.confex.com/ams/8Fire/techprogram/programexpanded_570.htm [Verified 25 July 2013]

Anderson SAJ, Anderson WR (2009) Predicting the elevated dead fine fuel moisture content in gorse (Ulex europaeus l.) shrub fuels. Canadian Journal of Forest Research 39, 2355–2368.
Predicting the elevated dead fine fuel moisture content in gorse (Ulex europaeus l.) shrub fuels.Crossref | GoogleScholarGoogle Scholar |

Anderson HE, Schuette RD, Mutch RW (1978) Timelag and equilibrium moisture content of Ponderosa pine needles. USDA Forest Service, Intermountain Forest and Range Experiment Station, Research Paper INT-202. (Ogden, UT)

Anderson K, Reuter G, Flannigan M (2007) Fire-growth modelling using meteorological data with random and systematic perturbations. International Journal of Wildland Fire 16, 174–182.
Fire-growth modelling using meteorological data with random and systematic perturbations.Crossref | GoogleScholarGoogle Scholar |

Anon. (2012) Next generation forecast and warning system. Australian Government Bureau of Meterorology, Technical Report. (Melbourne)

Baeza MJ, De Luis M, Raventos J, Escarre A (2002) Factors influencing fire behaviour in shrublands of different stand ages and the implications for using prescribed burning to reduce wildfire risk. Journal of Environmental Management 65, 199–208.
Factors influencing fire behaviour in shrublands of different stand ages and the implications for using prescribed burning to reduce wildfire risk.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BD38vjvFKjtA%3D%3D&md5=3fad65df73a1f54f419833ca09eff299CAS | 12197080PubMed |

Beck JA, Armitage OB (2004) Diurnal fine fuel moisture characteristics at a northern latitude. In ‘Proceedings of the 22nd Tall Timbers Fire Ecology Conference: Fire in Temperate, Boreal, and Montane Ecosystems’, 15–18 October 2001, Tallahassee, FL. (Eds RT Engstrom, KEM Galley, WJ de Groot) pp. 211–221. (Tall Timbers Research Station, Tallahassee, FL)

Biddulph J, Kellman M (1998) Fuels and fire at savanna gallery forest boundaries in southeastern Venezuela. Journal of Tropical Ecology 14, 445–461.
Fuels and fire at savanna gallery forest boundaries in southeastern Venezuela.Crossref | GoogleScholarGoogle Scholar |

Blackmarr WH (1971) Equilibrium moisture content of common fine fuels found in southeastern forests. USDA Forest Service, Southeastern Forest Experiment Station, Research Paper SE-74. (Asheville, NC)

Bristow K, Campbell G, Papendick R, Elliott L (1986) Simulation of heat and moisture transfer through a surface residue-soil system. Agricultural and Forest Meteorology 36, 193–214.
Simulation of heat and moisture transfer through a surface residue-soil system.Crossref | GoogleScholarGoogle Scholar |

Britton C, Countryman C, Wright H, Walvekar A (1973) The effect of humidity, air temperature, and wind speed on fine fuel moisture content. Fire Technology 9, 46–55.
The effect of humidity, air temperature, and wind speed on fine fuel moisture content.Crossref | GoogleScholarGoogle Scholar |

Burgan R (1988) Revisions to the 1978 National Fire-Danger Rating System. USDA Forest Service, Southeastern Forest Experiment Station, Research Paper SE-273. (Asheville, NC)

Bussiere F, Cellier P (1994) Modification of the soil temperature and water content regimes by a crop residue mulch: experiment and modelling. Agricultural and Forest Meteorology 68, 1–28.
Modification of the soil temperature and water content regimes by a crop residue mulch: experiment and modelling.Crossref | GoogleScholarGoogle Scholar |

Byram G (1963) An analysis of the drying process in forest fuel material. USDA Forest Service, Southern Forest Fire Laboratory, Report. (Macon, GA)

Byram GM, Jemison GM (1943) Solar radiation and forest fuel moisture. Journal of Agricultural Research 67, 149–176.

Campbell G (1985) ‘Soil physics with BASIC.’ (Elsevier: Amsterdam)

Carlson JD, Bradshaw LS, Nelson RM, Bensch RR, Jabrzemski R (2007) Application of the Nelson model to four timelag fuel classes using Oklahoma field observations: model evaluation and comparison with National Fire Danger Rating System algorithms. International Journal of Wildland Fire 16, 204–216.
Application of the Nelson model to four timelag fuel classes using Oklahoma field observations: model evaluation and comparison with National Fire Danger Rating System algorithms.Crossref | GoogleScholarGoogle Scholar |

Catchpole EA, Catchpole WR, Viney NR, McCaw WL, Marsden-Smedley JB (2001) Estimating fuel response time and predicting fuel moisture content from field data. International Journal of Wildland Fire 10, 215–222.
Estimating fuel response time and predicting fuel moisture content from field data.Crossref | GoogleScholarGoogle Scholar |

Chandler C, Cheney P, Thomas P, Trabaud L, Williams D (1983) ‘Fire in Forestry Volume 1: Forest Fire Behavior and Effects.’ (Wiley: New York)

Chatto T, Tolhurst K (1997) The development and testing of the Wiltronics TH fine fuel moisture meter. Victorian Department of Natural Resources and Environment, Fire Management Branch, Research Report 46. (Melbourne )

Chen W, Novak M, Black T, Lee X (1997) Coherent eddies and temperature structure functions for three contrasting surfaces, part I: ramp model with finite microfront time. Boundary-Layer Meteorology 84, 99–124.
Coherent eddies and temperature structure functions for three contrasting surfaces, part I: ramp model with finite microfront time.Crossref | GoogleScholarGoogle Scholar |

Chuvieco E, Riando D, Aguado I, Cocero D (2002) Estimation of fuel moisture content from multitemporal analysis of Landsat Thematic Mapper reflectance data: applications in fire danger assessment. International Journal of Remote Sensing 23, 2145–2162.
Estimation of fuel moisture content from multitemporal analysis of Landsat Thematic Mapper reflectance data: applications in fire danger assessment.Crossref | GoogleScholarGoogle Scholar |

Cruz M (2010) Monte Carlo-based ensemble method for prediction of grassland fire spread. International Journal of Wildland Fire 19, 521–530.
Monte Carlo-based ensemble method for prediction of grassland fire spread.Crossref | GoogleScholarGoogle Scholar |

Cruz M, Matthews S, Gould J, Ellis P, Henderson M, Knight I, Watters J (2010) Fire dynamics in mallee-heath: fuel, weather and fire behaviour prediction in South Australian semiarid shrublands. Bushfire Cooperative Research Centre, Report A.10.01. (Melbourne)

de Groot WJ, Wardati , Wang YH (2005) Calibrating the fine fuel moisture code for grass ignition potential in Sumatra, Indonesia. International Journal of Wildland Fire 14, 161–168.
Calibrating the fine fuel moisture code for grass ignition potential in Sumatra, Indonesia.Crossref | GoogleScholarGoogle Scholar |

de Groot WJ, Field RD, Brady MA, Roswintiarti O, Mohamad M, de Groot WJ (2007) Development of the Indonesian and Malaysian fire danger rating systems. Mitigation and Adaptation Strategies for Global Change 12, 165–180.
Development of the Indonesian and Malaysian fire danger rating systems.Crossref | GoogleScholarGoogle Scholar |

Deeming J (1977) The National Fire Danger Rating System. USDA Forest Service, Intermountain Forest and Range Experiment Station, General Technical Report INT-GTR-39. (Ogden, UT)

Estes BL, Knapp EE, Skinner CN, Uzoh FC (2012) Seasonal variation in surface fuel moisture between forest structure treatments in a mixed conifer forest, northern California, USA. International Journal of Wildland Fire 21, 428–435.
Seasonal variation in surface fuel moisture between forest structure treatments in a mixed conifer forest, northern California, USA.Crossref | GoogleScholarGoogle Scholar |

Faiella SM, Bailey JD (2007) Fluctuations in fuel moisture across restoration treatments in semi-arid ponderosa pine forests of northern Arizona, USA. International Journal of Wildland Fire 16, 119–127.
Fluctuations in fuel moisture across restoration treatments in semi-arid ponderosa pine forests of northern Arizona, USA.Crossref | GoogleScholarGoogle Scholar |

Ferguson SA, Ruthford JE, McKay SJ, Wright D, Wright C, Ottmar R (2002) Measuring moisture dynamics to predict fire severity in longleaf pine forests. International Journal of Wildland Fire 11, 267–279.
Measuring moisture dynamics to predict fire severity in longleaf pine forests.Crossref | GoogleScholarGoogle Scholar |

Finney MA (1998) FARSITE: Fire area simulator – model development and evaluation. USDA Forest Service, Rocky Mountain Research Station, Research Paper RMRS-RP-4. (Fort Collins, CO)

Fiorucci P, Gaetani F, Minciardi R (2008) Development and application of a system for dynamic wildfire risk assessment in Italy. Environmental Modelling & Software 23, 690–702.
Development and application of a system for dynamic wildfire risk assessment in Italy.Crossref | GoogleScholarGoogle Scholar |

Fosberg MA (1971) Moisture content calculations for the 100-hour timelag fuel in fire danger rating. USDA Forest Service, Rocky Mountain Forest and Range Experiment Station, Research Paper RM-199. (Fort Collins, CO)

Fosberg MA, Deeming JE (1971) Derivation of the 1- and 10-hour timelag fuel moisture content calculations for fire-danger rating. USDA Forest Service, Rocky Mountain Forest and Range Experiment Station, Research Paper RM-207. (Fort Collins, CO)

Fosberg MA, Rothermel RC, Andrews PL (1981) Moisture content calculations for 1000-hour timelag fuels. Forest Science 27, 19–26.

Gerrits AMJ, Savenije HHG, Hoffmann L, Pfister L (2007) New technique to measure forest floor interception - an application in a beech forest in Luxembourg. Hydrology and Earth System Sciences 11, 695–701.
New technique to measure forest floor interception - an application in a beech forest in Luxembourg.Crossref | GoogleScholarGoogle Scholar |

Gerrits AMJ, Pfister L, Savenije HHG (2010) Spatial and temporal variability of canopy and forest floor interception in a beech forest. Hydrological Processes 24, 3011–3025.
Spatial and temporal variability of canopy and forest floor interception in a beech forest.Crossref | GoogleScholarGoogle Scholar |

Gibos KE (2010) Effect of slope and aspect on litter layer moisture content of lodgepole pine stands in the eastern slopes of the Rocky Mountains of Alberta. MSc(Forestry) thesis, Faculty of Forestry, University of Toronto.

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 |

Glahn H, Ruth D (2003) The new digital forecast database of the national weather service. Bulletin of the American Meteorological Society 84, 195–201.
The new digital forecast database of the national weather service.Crossref | GoogleScholarGoogle Scholar |

Glitzenstein JS, Streng DR, Achtemeier GL, Naeher LP, Wade DD (2006) Fuels and fire behavior in chipped and unchipped plots: implications for land management near the wildland/urban interface. Forest Ecology and Management 236, 18–29.
Fuels and fire behavior in chipped and unchipped plots: implications for land management near the wildland/urban interface.Crossref | GoogleScholarGoogle Scholar |

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 |

Guevara-Escobar A, Gonzalez-Sosa E, Ramos-Salinas M, Hernandez-Delgado GD (2007) Experimental analysis of drainage and water storage of litter layers. Hydrology and Earth System Sciences 11, 1703–1716.
Experimental analysis of drainage and water storage of litter layers.Crossref | GoogleScholarGoogle Scholar |

Haverd V, Cuntz M (2010) Soil-litter-iso: a one-dimensional model for coupled transport of heat, water and stable isotopes in soil with a litter layer and root extraction. Journal of Hydrology 388, 438–455.
Soil-litter-iso: a one-dimensional model for coupled transport of heat, water and stable isotopes in soil with a litter layer and root extraction.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXotVKgtr0%3D&md5=77c36a893b065e7215a4f1263aeb6962CAS |

Heikinheimo M, Venäläinen A, Tourula T (1996) A soil moisture index for the assessment of forest fire risk in the boreal zone. In ‘International Symposium on Applied Agrometeorology and Agroclimatology, Proceedings’, 24–26 April 1970, Volos, Greece. (Ed. NR Dalezios) pp. 549–557. (European Commission: Brussels, Belgium)

Heim RR (2002) A review of twentieth-century drought indices used in the United States. Bulletin of the American Meteorological Society 83, 1149–1165.

Hille M, den Ouden J (2005) Fuel load, humus consumption and humus moisture dynamics in Central European Scots pine stands. International Journal of Wildland Fire 14, 153–159.
Fuel load, humus consumption and humus moisture dynamics in Central European Scots pine stands.Crossref | GoogleScholarGoogle Scholar |

Holden ZA, Jolly WM (2011) Modeling topographic influences on fuel moisture and fire danger in complex terrain to improve wildland fire management decision support. Forest Ecology and Management 262, 2133–2141.
Modeling topographic influences on fuel moisture and fire danger in complex terrain to improve wildland fire management decision support.Crossref | GoogleScholarGoogle Scholar |

Holdsworth A, Uhl C (1997) Fire in Amazonian selectively logged rain forest and the potential for fire reduction. Ecological Applications 7, 713–725.
Fire in Amazonian selectively logged rain forest and the potential for fire reduction.Crossref | GoogleScholarGoogle Scholar |

Jolly WM, Hadlow AM (2012) A comparison of two methods for estimating conifer live foliar moisture content. International Journal of Wildland Fire 21, 180–185.
A comparison of two methods for estimating conifer live foliar moisture content.Crossref | GoogleScholarGoogle Scholar |

Keith DM, Johnson EA, Valeo C (2010a) A hillslope forest floor (duff) water budget and the transition to local control. Hydrological Processes 24, 2738–2751.
A hillslope forest floor (duff) water budget and the transition to local control.Crossref | GoogleScholarGoogle Scholar |

Keith DM, Johnson EA, Valeo C (2010b) Moisture cycles of the forest floor organic layer (f and h layers) during drying. Water Resources Research 46, W07529
Moisture cycles of the forest floor organic layer (f and h layers) during drying.Crossref | GoogleScholarGoogle Scholar |

King A, Linton M (1963a) Moisture variation in forest fuels: the rate of response to climate changes. Australian Journal of Applied Science 14, 38–50.

King A, Linton M (1963b) Report on moisture variation in forest fuels: equilibrium moisture content. CSIRO Division of Physical Chemistry, Technical Report. (Melbourne)

Kosugi K, Mori K, Yasuda H (2001) An inverse modeling approach for the characterization of unsaturated water flow in an organic forest floor. Journal of Hydrology 246, 96–108.
An inverse modeling approach for the characterization of unsaturated water flow in an organic forest floor.Crossref | GoogleScholarGoogle Scholar |

Krivtsov V, Davies GM, Legg C, Valor T, Gray A (2010) Peat moisture in relation to meteorological factors: monitoring, modelling, and implications for the application of the Canadian forest fire weather index system. In ‘Atmospheric Turbulence, Meteorological Modeling and Aerodynamics’, (Eds PR Lang, FS Lombargo) pp. 691–704. (Nova Science Publishers: New York)

Kuljian H, Varner JM (2010) The effects of sudden oak death on foliar moisture content and crown fire potential in tanoak. Forest Ecology and Management 259, 2103–2110.
The effects of sudden oak death on foliar moisture content and crown fire potential in tanoak.Crossref | GoogleScholarGoogle Scholar |

Lawson BD, Armitage O, Hoskins W (1996) Diurnal variation in the Fine Fuel Moisture Code: tables and computer source code. Canada-British Columbia Partnership Agreement on Forest Resource Development: FRDA II, Canadian Forest Service/British Colombia Ministry of Forestry FRDA Report 245. (Victoria, BC)

Lin CC (2004) Modeling fine dead fuel moisture in Taiwan red pine forests. Taiwan Journal of Forest Science 19, 27–32.

Lopes SMG, Viegas DX, Viegas MT, de Lemos LT (2006) Moisture content of fine forest fuels in the Central Portugal (Lousa) for the period 1996–2004. Forest Ecology and Management 234, S71
Moisture content of fine forest fuels in the Central Portugal (Lousa) for the period 1996–2004.Crossref | GoogleScholarGoogle Scholar |

Lopes SMG, de Lemos LT, Viegas MT, Viegas DX (2010) Moisture content of fine forest fuels in Central Portugal and its relation with several forest fire related aspects. In ‘Proceedings of the VI International Conference on Forest Fire Research’, 15–18 November 2010, Coimbra, Portugal. (Ed. DX Viegas), pp. 211–221. (ADAI: Coimbra, Portugal)

Marsden-Smedley JB, Catchpole WR (2001) Fire modelling in Tasmanian buttongrass moorlands. III - Dead fuel moisture. International Journal of Wildland Fire 10, 241–253.
Fire modelling in Tasmanian buttongrass moorlands. III - Dead fuel moisture.Crossref | GoogleScholarGoogle Scholar |

Matthews S (2005) The water vapour conductance of Eucalyptus litter layers. Agricultural and Forest Meteorology 135, 73–81.
The water vapour conductance of Eucalyptus litter layers.Crossref | GoogleScholarGoogle Scholar |

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

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

Matthews S, McCaw WL (2006) A next-generation fuel moisture model for fire behaviour prediction. Forest Ecology and Management 234, S91
A next-generation fuel moisture model for fire behaviour prediction.Crossref | GoogleScholarGoogle Scholar |

Matthews S, McCaw WL, Neal JE, Smith RH (2007) Testing a process-based fine fuel moisture model in two forest types. Canadian Journal of Forest Research 37, 23–35.
Testing a process-based fine fuel moisture model in two forest types.Crossref | GoogleScholarGoogle Scholar |

Matthews S, Gould J, McCaw WL (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 |

Matthews S, Nguyen K, McGregor J (2011) Modelling fuel moisture under climate change. International Journal of Climate Change Strategies and Management 3, 6–15.
Modelling fuel moisture under climate change.Crossref | GoogleScholarGoogle Scholar |

Matthews S, Sullivan AL, Watson P, Williams RJ (2012) Climate change, fuel and fire behaviour in a eucalypt forest. Global Change Biology 18, 3212–3223.
Climate change, fuel and fire behaviour in a eucalypt forest.Crossref | GoogleScholarGoogle Scholar |

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

McArthur AG (1966) Weather and grassland fire behaviour. Forestry and Timber Bureau, Leaflet 100. (Canberra)

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

McCaw WL (1998) Predicting fire spread in Western Australian mallee-heath shrubland. PhD thesis, School of Physical, Environmental and Mathematical Sciences, University of New South Wales.

Miller S, Goulden M, da Rocha H (2007) The effect of canopy gaps on subcanopy ventilation and scalar fluxes in a tropical forest. Agricultural and Forest Meteorology 142, 25–34.
The effect of canopy gaps on subcanopy ventilation and scalar fluxes in a tropical forest.Crossref | GoogleScholarGoogle Scholar |

Monteith JL, Unsworth M (1990) ‘Principles of Environmental Physics.’ (Edward-Arnold Publishers: London)

Nelson RM (1984) A method for describing equilibrium moisture content of forest fuels. Canadian Journal of Forest Research 14, 597–600.
A method for describing equilibrium moisture content of forest fuels.Crossref | GoogleScholarGoogle Scholar |

Nelson RM Jr (1991) A model of diurnal moisture change in dead forest fuels. In ‘Proceedings, 11th Conference on Fire and Forest Meteorology’, 16–19 April 1991, Missoula, MT. (Eds PL Andrews, DF Potts), pp. 109–116. (Society of American Foresters: Missoula, MT)

Nelson RM (2000) Prediction of diurnal change in 10-h fuel stick moisture content. Canadian Journal of Forest Research 30, 1071–1087.
Prediction of diurnal change in 10-h fuel stick moisture content.Crossref | GoogleScholarGoogle Scholar |

Nelson RM, Hiers JK (2008) The influence of fuelbed properties on moisture drying rates and timelags of longleaf pine litter. Canadian Journal of Forest Research 38, 2394–2404.
The influence of fuelbed properties on moisture drying rates and timelags of longleaf pine litter.Crossref | GoogleScholarGoogle Scholar |

Nieto H, Aguado I, Chuvieco E, Sandholt I (2010) Dead fuel moisture estimation with MSG-SEVIRI data. Retrieval of meteorological data for the calculation of the equilibrium moisture content. Agricultural and Forest Meteorology 150, 861–870.
Dead fuel moisture estimation with MSG-SEVIRI data. Retrieval of meteorological data for the calculation of the equilibrium moisture content.Crossref | GoogleScholarGoogle Scholar |

Novak M, Chen W, Hares M (2000) Simulating the radiation distribution within a barley-straw mulch. Agricultural and Forest Meteorology 102, 173–186.
Simulating the radiation distribution within a barley-straw mulch.Crossref | GoogleScholarGoogle Scholar |

Ogée J, Brunet Y (2002) A forest floor model for heat and moisture including a litter layer. Journal of Hydrology 255, 212–233.
A forest floor model for heat and moisture including a litter layer.Crossref | GoogleScholarGoogle Scholar |

Otway SG, Bork EW, Anderson KR, Alexander ME (2007) Relating changes in duff moisture to the Canadian Forest Fire Weather Index System in Populus tremuloides stands in Elk Island National Park. Canadian Journal of Forest Research 37, 1987–1998.
Relating changes in duff moisture to the Canadian Forest Fire Weather Index System in Populus tremuloides stands in Elk Island National Park.Crossref | GoogleScholarGoogle Scholar |

Page WG, Jenkins MJ, Runyon JB (2012) Mountain pine beetle attack alters the chemistry and flammability of lodgepole pine foliage. Canadian Journal of Forest Research 42, 1631–1647.
Mountain pine beetle attack alters the chemistry and flammability of lodgepole pine foliage.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38XhtFKit7%2FN&md5=1410bdebc412547358826067df128562CAS |

Pech G (1989) A model to predict the moisture content of reindeer lichen. Forest Science 35, 1014–1028.

Péch G (1991) Dew on reindeer lichen. Canadian Journal of Forest Research 21, 1415–1418.
Dew on reindeer lichen.Crossref | GoogleScholarGoogle Scholar |

Persson A, Grazzini F (2005) User guide to ECMWF forecast products. European Centre for Medium-Range Weather Forecasts, Meteorological Bulletin, number 3.2. (Reading, UK)

Pippen BG (2008) Fuel moisture and fuel dynamics in woodland and heathland vegetation of the Sydney Basin. PhD thesis, School of Physical, Environmental and Mathematical Sciences, University of New South Wales.

Plucinski MP (2003) The investigation of factors governing ignition and development of fires in heathland vegetation. PhD thesis, School of Physical, Environmental and Mathematical Sciences, University of New South Wales.

Pook EW (1993) Empirical models evaluated for prediction of fine fuel moisture in Australian Pinus radiata plantations. New Zealand Journal of Forestry Science 23, 278–297.

Pook EW, Gill AM (1993) Variation of live and dead fine fuel moisture in Pinus radiata plantations of the Australian Capital Territory. International Journal of Wildland Fire 3, 155–168.
Variation of live and dead fine fuel moisture in Pinus radiata plantations of the Australian Capital Territory.Crossref | GoogleScholarGoogle Scholar |

Putuhena WM, Cordery I (1996) Estimation of interception capacity of the forest floor. Journal of Hydrology 180, 283–299.
Estimation of interception capacity of the forest floor.Crossref | GoogleScholarGoogle Scholar |

Qu ZL, Li YY, Min YY (2010a) Real-time prediction model of forest fuel moisture. Journal of Northeast Forestry University 38, 66–71. [In Chinese with English abstract]

Qu ZL, Min YY, Zhao LS, Hu HQ (2010b) Study on the predicted model of forest fuel moisture. In ‘Proceedings of the 2010 International Conference on Electrical and Control Engineering’, 25–27 June 2010, Wuhan, China. pp. 2170–2173. (Institute of Electrical and Electronics Engineers (IEEE): Washington, DC)

Raaflaub LD, Valeo C (2008) Assessing factors that influence spatial variations in duff moisture. Hydrological Processes 22, 2874–2883.
Assessing factors that influence spatial variations in duff moisture.Crossref | GoogleScholarGoogle Scholar |

Raupach MR (1987) A Lagrangian analysis of scalar transfer in vegetation canopies. Quarterly Journal of the Royal Meteorological Society 113, 107–120.
A Lagrangian analysis of scalar transfer in vegetation canopies.Crossref | GoogleScholarGoogle Scholar |

Ray D, Nepstad D, Moutinho P (2005) Micrometeorological and canopy controls of fire susceptibility in a forested Amazon landscape. Ecological Applications 15, 1664–1678.
Micrometeorological and canopy controls of fire susceptibility in a forested Amazon landscape.Crossref | GoogleScholarGoogle Scholar |

Ray D, Nepstad D, Brando P (2010) Predicting moisture dynamics of fine understory fuels in a moist tropical rainforest system: results of a pilot study undertaken to identify proxy variables useful for rating fire danger. New Phytologist 187, 720–732.
Predicting moisture dynamics of fine understory fuels in a moist tropical rainforest system: results of a pilot study undertaken to identify proxy variables useful for rating fire danger.Crossref | GoogleScholarGoogle Scholar | 20618913PubMed |

Riha SJ, McInnes KJ, Childs SW, Campbell GS (1980) A finite element calculation for determining thermal conductivity. Soil Science Society of America Journal 44, 1323–1325.
A finite element calculation for determining thermal conductivity.Crossref | GoogleScholarGoogle Scholar |

Rothermel RC (1983) How to predict the spread and intensity of forest and range fires. USDA Forest Service, Intermountain Forest and Range Experiment Station, General Technical Report INT-GTR-143. (Ogden, UT)

Rothermel RC, Wilson RA, Morris GA, Sacket SS (1986) Modeling moisture content of fine dead wildland fuels: input to the BEHAVE fire prediction system. USDA Forest Service, Intermountain Forest and Range Experiment Station, General Technical Report INT-359. (Ogden, UT)

Rothwell RL, Woodard PM, Samran S (1991) The effect of soil water on aspen litter moisture content. In ‘Proceedings, 11th Conference on Fire and Forest Meteorology’, 16–19 April 1991, Missoula, MT. (Eds PL Andrews, DF Potts) pp. 117–123. (Society of American Foresters: Missoula, MT)

Ruiz Gonzalez AD, Vega Hidalgo JA (2007) Modelos de predicción de la humedad de los combustibles muertos: fundamentos y aplicación. Monografías INIA, Serie Forestal 15. (Madrid, Spain)

Ruiz Gonzalez AD, Maseda CM, Lourido C (2002) Possibilities of dead fine fuels moisture prediction in Pinus pinaster Ait. stands at ‘Cordal de Ferreiros’ (Lugo, north-western of Spain). In ‘Forest Fire Research and Wildland Fire Safety: Proceedings of IV International Conference on Forest Fire Research and 2002 Wildland Fire Safety Summit’, 18–23 November 2002, Coimbra, Portugal. (Ed. DX Viegas) (Millpress Science Publishers: Rotterdam, the Netherlands)

Ruiz González AD, Vega Hidalgo JA, Álvarez González JG (2009a) Construction of empirical models for predicting Pinus sp. dead fine fuel moisture in NW Spain. I: response to changes in temperature and relative humidity. International Journal of Wildland Fire 18, 71–83.
Construction of empirical models for predicting Pinus sp. dead fine fuel moisture in NW Spain. I: response to changes in temperature and relative humidity.Crossref | GoogleScholarGoogle Scholar |

Ruiz Gonzalez AD, Vega Hidalgo JA, Alvarez Gonzalez JG (2009b) Modelling hourly variability in Eucalyptus globulus litter moisture content. Investigacion Agraria-Sistemas y Recursos Forestales 18, 247–263.

Samran S, Woodard PM, Rothwell RL (1995) The effect of soil-water on ground fuel availability. Forest Science 41, 255–267.

Sato Y, Kumagai T, Kume A, Otsuki K, Ogawa S (2004) Experimental analysis of moisture dynamics of litter layers-the effects of rainfall conditions and leaf shapes. Hydrological Processes 18, 3007–3018.
Experimental analysis of moisture dynamics of litter layers-the effects of rainfall conditions and leaf shapes.Crossref | GoogleScholarGoogle Scholar |

Schaap M, Bouten W (1997) Forest floor evaporation in a dense Douglas-fir stand. Journal of Hydrology 193, 97–113.
Forest floor evaporation in a dense Douglas-fir stand.Crossref | GoogleScholarGoogle Scholar |

Schaap M, Bouten W, Verstraten J (1997) Forest floor water content dynamics in a Douglas-fir stand. Journal of Hydrology 201, 367–383.
Forest floor water content dynamics in a Douglas-fir stand.Crossref | GoogleScholarGoogle Scholar |

Schunk C, Leutner C, Leuchner M, Wastl C, Menzel A (2013) Equilibrium moisture content of dead fine fuels of selected Central European tree species. International Journal of Wildland Fire 22, 797–809.
Equilibrium moisture content of dead fine fuels of selected Central European tree species.Crossref | GoogleScholarGoogle Scholar |

Sharples JJ, Matthews S (2011) Evaluation of some simplified models for predicting the moisture content of fine, dead fuels. ‘MODSIM2011, 19th International Congress on Modelling and Simulation’ 12–16 December 2011, Perth, Australia. (Eds F Chan, D Marinova, R Anderssen) pp. 242–248. (Modelling and Simulation Society of Australia and New Zealand: Canberra, ACT)

Sharples JJ, McRae RHD (2011) Evaluation of a very simple model for predicting the moisture content of eucalypt litter. International Journal of Wildland Fire 20, 1000–1005.
Evaluation of a very simple model for predicting the moisture content of eucalypt litter.Crossref | GoogleScholarGoogle Scholar |

Sharples JJ, McRae RHD, Weber RO, Gill AM (2009) A simple index for assessing fuel moisture content. Environmental Modelling & Software 24, 637–646.
A simple index for assessing fuel moisture content.Crossref | GoogleScholarGoogle Scholar |

Simard A (1968) The moisture content of forest fuels – II comparison of moisture content variations above the fibre saturation point between a number of fuels. Canada Department of Forestry and Rural Development, Information Report FF-X-156. (Ottawa, ON)

Slijepcevic A, Anderson WA (2006) Hourly variation in fine fuel moisture in eucalypt forests in Tasmania. Forest Ecology and Management 234, S36
Hourly variation in fine fuel moisture in eucalypt forests in Tasmania.Crossref | GoogleScholarGoogle Scholar |

Sneeuwjagt RJ, Peet GB (1996) Forest fire behaviour tables for Western Australia. Western Australian Department of Conservation and Land Management, Technical Report. (Perth)

Stambaugh MC, Guyette RP, Dey DC (2007) Forest fuels and landscape-level fire risk assessment of the Ozark Highlands, Missouri. USDA Forest Service, Southern Research Station, General Technical Report SRS-101. (Knoxville, TN)

Sullivan AS, Matthews S (2013) Determining landscape fine fuel moisture content of the Kilmore East ‘Black Saturday’ wildfire using spatially-extended point-based models. Environmental Modelling & Software 40, 98–108.
Determining landscape fine fuel moisture content of the Kilmore East ‘Black Saturday’ wildfire using spatially-extended point-based models.Crossref | GoogleScholarGoogle Scholar |

Tamai K (2001) Estimation model for litter moisture content ratio on forest floor. In ‘Soil–Vegetation–Atmosphere Transfer Schemes and Large-Scale Hydrological Models’. (Eds AJ Dolman, AJ Hall, ML Kavvas, T Oki, J Pomeroy) pp. 53–58. (International Association of Hydrological Sciences: Wallingford, UK)

Tamai K, Goto Y (2003) Fuel moisture estimation model for deciduous secondary forest in Japan – a comparison of parameters under different canopies. In ‘Proceedings of 5th Symposium on Fire and Forest Meteorology’, 16–20 November 2003, Orlando, FL. (American Meteorological Society: Boston, MA)

Tamai K, Goto Y (2008) The estimation of temporal and spatial fluctuations in a forest fire hazard index - the case of a forested public area in japan. In ‘First International Conference on Modelling, Monitoring and Management of Forest Fires’, 17–19 September 2008, Toledo, Spain. (Eds J De Las Heras, CA Brebbia, DX Viegas, V Leone) pp. 397–404. (WIT Press: Southampton, UK)

Tanskanen H, Venäläinen A (2008) The relationship between fire activity and fire weather indices at different stages of the growing season in Finland. Boreal Environment Research 13, 285–302. [In Chinese]

Tanskanen H, Granstrom A, Venäläinen A, Puttonen P (2006) Moisture dynamics of moss-dominated surface fuel in relation to the structure of Picea abies and Pinus sylvestris stands. Forest Ecology and Management 226, 189–198.
Moisture dynamics of moss-dominated surface fuel in relation to the structure of Picea abies and Pinus sylvestris stands.Crossref | GoogleScholarGoogle Scholar |

Tiktak A, Bouten W (1992) Modelling soil water dynamics in a forested ecosystem. III. Model description and evaluation of discretization. Hydrological Processes 6, 455–465.
Modelling soil water dynamics in a forested ecosystem. III. Model description and evaluation of discretization.Crossref | GoogleScholarGoogle Scholar |

Tolhurst KG, Shields B, Chong D (2008) Phoenix: development and application of a bushfire risk management tool. Australian Journal of Emergency Management 23, 47–54.

Uhl C, Kauffman J (1990) Deforestation, fire susceptibility, and potential tree responses to fire in the eastern Amazon. Ecology 71, 437–449.
Deforestation, fire susceptibility, and potential tree responses to fire in the eastern Amazon.Crossref | GoogleScholarGoogle Scholar |

Van den Hurk B, McNaughton K (1995) Implementation of near-field dispersion in a simple two-layer surface resistance model. Journal of Hydrology 166, 293–311.
Implementation of near-field dispersion in a simple two-layer surface resistance model.Crossref | GoogleScholarGoogle Scholar |

van Wagner CE (1969) Combined effect of sun and wind on surface temperature of litter. Canada Department of Fisheries and Forestry, Information Report PS-X-10. (Chalk River, ON)

van Wagner CE (1972) Equilibrium moisture content of some fine fuels in eastern Canada. Canada Department of Fisheries and Forestry, Information Report PS-X-36. (Chalk River, ON)

van Wagner CE (1977) A method of computing fine fuel moisture content throughout the diurnal cycle. Canada Department of Fisheries and Environment, Information Report PS-X-69. (Chalk River, ON)

van Wagner CE (1979) A laboratory study of weather effects on the drying rate of jack pine litter. Canadian Journal of Forest Research 9, 267–275.
A laboratory study of weather effects on the drying rate of jack pine litter.Crossref | GoogleScholarGoogle Scholar |

van Wagner CE (1987) Development and structure of the Canadian Forest Fire Weather Index System. Canadian Forest Service, Information Report 35. (Chalk River, ON)

Vaz G, Andre J, Viegas D (2004) Estimation of the radiation extinction coefficient of natural fuel beds. International Journal of Wildland Fire 13, 65–71.
Estimation of the radiation extinction coefficient of natural fuel beds.Crossref | GoogleScholarGoogle Scholar |

Vega JA, Casal M (1988) Contraste de estimadores de humedad del combustible forestal fino muerto en montes arbolados de Galicia (NW de España). In ‘Documentos del Seminario sobre métodos y equipos para la prevención de incendios forestales’, 30 September–4 October 1986, Valencia, Spain. pp. 94–97. (Food and Agriculture Organization of the United Nations: Rome, Italy)

Venäläinen A, Heikinhemio M (2008) The Finnish forest fire index calculation system. In ‘Early Warning Systems for Natural Disaster Reduction’. (Eds J Zschau, A Kuppers) pp. 645–648. (Springer Verlag: Berlin)

Viegas DX, Viegas MTSP, Ferreira AD (1992) Moisture content of fine forest fuels and fire occurrence in central portugal. International Journal of Wildland Fire 2, 69–86.
Moisture content of fine forest fuels and fire occurrence in central portugal.Crossref | GoogleScholarGoogle Scholar |

Viney NR (1991) A review of fine fuel moisture modelling. International Journal of Wildland Fire 1, 215–234.
A review of fine fuel moisture modelling.Crossref | GoogleScholarGoogle Scholar |

Viney NR, Catchpole EA (1991) Estimating fuel moisture response times from field observations. International Journal of Wildland Fire 1, 211–214.
Estimating fuel moisture response times from field observations.Crossref | GoogleScholarGoogle Scholar |

Viney NR, Hatton TJ (1990) Modelling the effect of condensation on the moisture content of forest litter. Agricultural and Forest Meteorology 51, 51–62.
Modelling the effect of condensation on the moisture content of forest litter.Crossref | GoogleScholarGoogle Scholar |

Walsh R, Voigt P (1977) Vegetation litter: an underestimated variable in hydrology and geomorphology. Journal of Biogeography 4, 253–274.
Vegetation litter: an underestimated variable in hydrology and geomorphology.Crossref | GoogleScholarGoogle Scholar |

Weise DR, Fujioka FM, Nelson RM (2005) A comparison of three models of 1-h time lag fuel moisture in Hawaii. Agricultural and Forest Meteorology 133, 28–39.
A comparison of three models of 1-h time lag fuel moisture in Hawaii.Crossref | GoogleScholarGoogle Scholar |

Whitehead RJ, Russo GL, Hawkes BC, Taylor SW, Brown BN, Armitage OB, Barclay HJ, Benton RA (2008) Effect of commercial thinning on within-stand microclimate and fine fuel moisture conditions in a mature lodgepole pine stand in southeastern British Columbia. Canadian Forest Service, Canadian Wood Fibre Centre, Information Report FI-X-004. (Victoria, BC)

Williams RJ, Gill AM, Moore PHR (1998) Seasonal changes in fire behaviour in a tropical savanna in northern Australia. International Journal of Wildland Fire 8, 227–239.
Seasonal changes in fire behaviour in a tropical savanna in northern Australia.Crossref | GoogleScholarGoogle Scholar |

Wilmore B (2001) Duff moisture dynamics in black spruce feather moss stands and their relation to the Canadian Forest Fire Weather Index System. MScs thesis, University of Alaska.

Wittich KP (2005) A single-layer litter-moisture model for estimating forest-fire danger. Meteorologische Zeitschrift 14, 157–164.
A single-layer litter-moisture model for estimating forest-fire danger.Crossref | GoogleScholarGoogle Scholar |

Wotton B (2009a) A grass moisture model for the Canadian Forest Fire Danger Rating System. In ‘Eighth Symposium on Fire and Forest Meteorology’, 13–15 October 2009, Kalispell, MT. (American Meteorological Society: Boston, MA)

Wotton BM (2009b) Interpreting and using outputs from the Canadian Forest Fire Danger Rating System in research applications. Environmental and Ecological Statistics 16, 107–131.
Interpreting and using outputs from the Canadian Forest Fire Danger Rating System in research applications.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXltVCgs7w%3D&md5=b0b7140a7f54389f04efc72f5a4132ebCAS |

Wotton BM, Beverly JL (2007) Stand-specific litter moisture content calibrations for the Canadian Fine Fuel Moisture Code. International Journal of Wildland Fire 16, 463–472.
Stand-specific litter moisture content calibrations for the Canadian Fine Fuel Moisture Code.Crossref | GoogleScholarGoogle Scholar |

Wotton BM, Stocks BJ, Martell DL (2005) An index for tracking sheltered forest floor moisture within the Canadian Forest Fire Weather Index System. International Journal of Wildland Fire 14, 169–182.
An index for tracking sheltered forest floor moisture within the Canadian Forest Fire Weather Index System.Crossref | GoogleScholarGoogle Scholar |

Zargar A, Sadiq R, Naser B, Khan FI (2011) A review of drought indices. Environmental Reviews 19, 333–349.
A review of drought indices.Crossref | GoogleScholarGoogle Scholar |

Zhang SY, Cai JB, Chen XM (2006) Response models on the moisture change of surface fuel to fire environment in Cunninghamia lanceolata young plantation. Journal of Zhejiang Forestry College 23, 439–444. [In Chinese]