Evaluating the applicability of predicting dead fine fuel moisture based on the hourly Fine Fuel Moisture Code in the south-eastern Great Xing’an Mountains of China
Jili Zhang A B , Xiaoyang Cui A , Rui Wei B , Yan Huang B and Xueying Di A C
+ Author Affiliations
- Author Affiliations
A Center for Ecological Research, Northeast Forestry University, Harbin 150040, China.
B Research Center of Cold Temperate Forestry, Chinese Academy of Forestry, Harbin 150086, China.
C Corresponding author. Email: dixueying@126.com
International Journal of Wildland Fire 26(2) 167-175 https://doi.org/10.1071/WF16040
Submitted: 11 March 2016 Accepted: 8 December 2016 Published: 6 February 2017
Abstract
To evaluate the applicability of the hourly Fine Fuel Moisture Code (FFMC) to the south-eastern Great Xing’an Mountains, dead fine fuel moisture (Mf) was observed under less-sheltered and sheltered conditions in Scots pine (Pinus sylvestris var. mongolica), larch (Larix gmelinii) and oak (Quercus mongolicus) stands during the summer and autumn of 2014. Standard FFMC and locally calibrated FFMC values calculated hourly were tested using Mf observations and weather data, and the results showed that the Mf loss rate in the less-sheltered forest floor was markedly higher than that in the sheltered forest floor (P < 0.05). The standard hourly FFMC underestimated Mf, especially in stands of larch, the dominant species in the Great Xing’an Mountains, and Mf for rainy days in Scots pine and oak stands. However, the calibrated hourly FFMC predicted Mf in all three forest stands very well (R2 ranged from 0.920 to 0.969; mean absolute errorfrom 2.93 to 6.93, and root-mean-squared errorfrom 4.09 to 7.87), which suggested that it was sufficiently robust for those stands around the observation period. This study will improve the accuracy of Mf predictions to aid fire control efforts in the Great Xing’an Mountains and provide a basis for hourly FFMC model calibration.
Additional keywords: canopy shelter effect, moisture dynamics.
References
Abbott KN, Alexander ME, MacLean DA, Leblon B, Beck JA, Staples GC (2007) Predicting forest floor moisture for burned and unburned Pinus banksiana forests in the Canadian Northwest Territories. International Journal of Wildland Fire 16, 71–80.| Predicting forest floor moisture for burned and unburned Pinus banksiana forests in the Canadian Northwest Territories.Crossref | GoogleScholarGoogle Scholar |
Alexander ME, Lee BS, Lee CY (1984) Hourly calculation of the Fine Fuel Moisture Code, Initial Spread Index, and Fire Weather Index with the Texas Instruments Model 59 hand-held calculator. Canadian Forestry Service, Northern Forestry Research Centre, File Report NOR-5–191. (Edmonton, AB)
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. (Eds BE Potter, TJ Brown) paper 3A.4. (American Meteorological Society: Boston, MA).
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 |
Andrews PL (1986) BEHAVE: fire behavior prediction and fuel modeling system – BURN subsystem, Part 1. USDA Forest Service, Intermountain Research Station, General Technical Report INT-GTR-194. (Ogden, UT)
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)
Bianchi LO, Defosse GE (2014) Ignition probability of fine dead surface fuels in native Patagonia forests of Argentina. Forest Systems 23, 129–138.
| Ignition probability of fine dead surface fuels in native Patagonia forests of Argentina.Crossref | GoogleScholarGoogle Scholar |
Chelli S, Maponi P, Campetella G, Monteverd P, Foglia M, Paris E, Lolis A, Panagopoulos T (2015) Adaptation of the Canadian Fire Weather Index to Mediterranean forests. Natural Hazards 75, 1795–1810.
| Adaptation of the Canadian Fire Weather Index to Mediterranean forests.Crossref | GoogleScholarGoogle Scholar |
Chrosciewicz Z (1989) Prediction of forest-floor moisture content under diverse jack pine canopy conditions. Canadian Journal of Forest Research 19, 1483–1487.
| Prediction of forest-floor moisture content under diverse jack pine canopy conditions.Crossref | GoogleScholarGoogle Scholar |
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 |
Estes BL, Knapp EE, Skinner CN, Uzoh FC (2012) Seasonal variation in surface fuel moisture between unthinned and thinned mixed conifer forest, northern California, USA. International Journal of Wildland Fire 21, 428–435.
| Seasonal variation in surface fuel moisture between unthinned and thinned mixed conifer forest, northern California, USA.Crossref | GoogleScholarGoogle Scholar |
Forestry Canada Fire Danger Group (1992) Development and structure of the Canadian Forest Fire Behaviour Prediction System. Forestry Canada, Science and Sustainable Development Directorate, Information Report ST-X-3. (Ottawa, ON)
Hu HQ, Jin S (2002) Study on forest fire regime of Heilongjiang Province II. Analysis on factors affecting fire dynamics and distributions. Scientia SilvaeSinicae 38, 98–102.
| Study on forest fire regime of Heilongjiang Province II. Analysis on factors affecting fire dynamics and distributions.Crossref | GoogleScholarGoogle Scholar |
Lawson BD, Armitage OB (2008) ‘Weather guide for the Canadian Forest Fire Danger Rating System.’ (Natural Resources Canada, Canadian Forest Service, Northern Forestry Centre: Edmonton, AB)
Lawson BD, Armitage OB, Hoskins WD (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 Forests, FRDA Report 245. (Pacific Forestry Centre and Research Branch and BC Ministry of Forests: Victoria, BC)
Liu ZH, Chang Y, He HS, Chen HW (2009) Long-term effects of fire suppression policy on forest landscape, fuels dynamics, and fire risks in Great Xing’an Mountains. Chinese Journal of Ecology 28, 70–79.
| Long-term effects of fire suppression policy on forest landscape, fuels dynamics, and fire risks in Great Xing’an Mountains.Crossref | GoogleScholarGoogle Scholar |
Liu ZL, Wang CK, Chen JM, Wang XC, Jin GZ (2015) Empirical models for tracing seasonal changes in Leaf Area Index in deciduous broadleaf forests by digital hemispherical photography. Forest Ecology and Management 351, 67–77.
| Empirical models for tracing seasonal changes in Leaf Area Index in deciduous broadleaf forests by digital hemispherical photography.Crossref | GoogleScholarGoogle Scholar |
Matthews S (2014) Dead fuel moisture research: 1991–2012. International Journal of Wildland Fire 23, 78–92.
| Dead fuel moisture research: 1991–2012.Crossref | GoogleScholarGoogle Scholar |
Muraro SJ, Russell RN, Lawson BD (1969) Development of diurnal adjustments table for the Fine Fuel Moisture Code. Canada Forest Service, Pacific Forest Research Centre, Information Report BC-X-35. (Victoria, BC)
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 |
Rothermel RC, Wilson RA, Morris GA, Sackett 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)
Schiks TJ, Wotton BM (2015) Modifying the Canadian Fine Fuel Moisture Code for masticated surface fuels. International Journal of Wildland Fire 24, 79–91.
| Modifying the Canadian Fine Fuel Moisture Code for masticated surface fuels.Crossref | GoogleScholarGoogle Scholar |
ScottJH, BurganRE (2005) Standard fire behavior 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)
Slijepcevic A, Anderson WR, Matthews S (2013) Testing existing models for predicting hourly variation in fine fuel moisture in eucalypt forests. Forest Ecology and Management 306, 202–215.
| Testing existing models for predicting hourly variation in fine fuel moisture in eucalypt forests.Crossref | GoogleScholarGoogle Scholar |
Stocks BJ, Lawson BD, Alexander ME, Van Wagner RS, McAlpine RS, Lynham TJ, Dubé DE (1989) The Canadian Forest Fire Danger Rating system: an overview. The Forestry Chronicle 65, 450–457.
| The Canadian Forest Fire Danger Rating system: an overview.Crossref | GoogleScholarGoogle Scholar |
Tanskanen H, Granström 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 |
Tian XR, McRae DJ, Jin JZ, Shu LF, Zhao FJ, Wang MY (2010) Changes of forest fire danger and the evaluation of the FWI System application in the Daxing’anling region. Scientia SilvaeSinicae 46, 127–132.
| Changes of forest fire danger and the evaluation of the FWI System application in the Daxing’anling region.Crossref | GoogleScholarGoogle Scholar |
Van Wagner CE (1969) Drying rates of some fine forest fuels. Fire Control Notes 12, 5712
Van Wagner CE (1972) A table of diurnal variation in the Fine Fuel Moisture Code. Canadian Forest Service, Petawawa Forest Experiment Station, Information Report PS-X-38. (Chalk River, ON)
Van Wagner CE (1974) Structure of the Canadian Forest Fire Weather Index. Canadian Forestry Service, Petawawa Forest Experimental Station, Publication 1333. (Chalk River, ON)
Van Wagner CE (1977) A method of computing fine fuel moisture content throughout the diurnal cycle. Canadian Forestry Service, Petawawa Forest Experiment Station, 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, Petawawa Forest Experiment Station, Forestry Technical Report 35. (Chalk River, ON)
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 |
Whitehead RJ, Russo GL, Hawkes BC, Taylor SW, Brown BN, Barclay HJ, Benton RA (2006) Effect of a spaced thinning in mature lodgepole pine on within-stand microclimate and fine fuel moisture content. In ‘Fuels management: how to measure success – conference proceedings’, 28–30 March 2006, Portland, OR. (Eds Andrews PL, BW Butler) pp. 523–536. USDA Forest Service, Rocky Mountain Research Station, Proceedings RMRS-P-41. (Fort Collins, CO)
Wotton BM (2009) A grass moisture model for the Canadian Forest Fire Danger Rating System. In ‘Eight symposium on fire and forest meteorology’, 13–15 October 2009, Kalispell, MT. (Eds BE Potter, TJ Brown) paper 3A.2. (American Meteorological Society: Boston, MA).
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 |
Yang G, Shu LF, Di XY (2012) Change trends of summer fire danger in Great Xing’an Mountains forest region of Heilongjiang Province, north-east China under climate change. Chinese Journal of Applied Ecology 23, 3157–3163.
| Change trends of summer fire danger in Great Xing’an Mountains forest region of Heilongjiang Province, north-east China under climate change.Crossref | GoogleScholarGoogle Scholar |
Zhao FJ, Wang LZ, Shu LF, Chen PY, Chen LG (2013) Factors affecting the vegetation restoration after fires in cold temperate wetlands: a review. Chinese Journal of Applied Ecology 24, 853–860.
Zhao PW (2009) Studies on litterfall dynamics and nutrient release regularity of Larixgmelinii in Greet Xingan Mountains. MSc thesis, Inner Mongolia Agricultural University, Hohhot.
Zhou JQ, Liu XD, Guo HW (2014) Surface fuel loading and relevant influencing factors of main forest types in southern Daxing’anling. Journal of Northwest A &F University (Natural Science Edition) 42, 131–137.
| Surface fuel loading and relevant influencing factors of main forest types in southern Daxing’anling.Crossref | GoogleScholarGoogle Scholar |
