<i>Assessment of existing fine fuel moisture models applied to</i>Eucalyptus<i>litter</i>

Viney, Neil R.; Hatton, Timothy J.

doi:10.1080/00049158.1989.10674540

Cited by 26 publications

(3 citation statements)

References 16 publications

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“…Applying such relations to combustion processes that lead to more benign goals, such as reducing litter (needles and bark slough with no evidence of decay) and duff layers (decomposed organic matter) to enhance seed germination, is not straightforward. In addition, most fuel moisture algorithms are embedded in fire danger rating systems and consider only daily-varying conditions (McArthur 1966;Deeming et al 1978;Bradshaw et al 1983;Van Wagner 1987;Stocks et al 1989;Viney and Hatton 1989;Viegas et al 1999). This inhibits their use for planning fire at different times of the day.…”

Section: Introductionmentioning

confidence: 99%

Measuring moisture dynamics to predict fire severity in longleaf pine forests

Ferguson¹,

Ruthford²,

McKay³

et al. 2002

Int. J. Wildland Fire

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Telephone:+61 3 9662 7644 (editorial enquiries) +61 3 9662 7668 (subscription enquiries and claims) Fax: +61 3 9662 7611 (editorial enquiries) +61 3 9662 7555 (subscription enquiries and claims)Abstract. To understand the combustion limit of biomass fuels in a longleaf pine (Pinus palustris) forest, an experiment was conducted to monitor the moisture content of potentially flammable forest floor materials (litter and duff) at Eglin Air Force Base in the Florida Panhandle. While longleaf pine forests are fire dependent ecosystems, a long history of fire exclusion has allowed large amounts of pine litter and duff to accumulate. Reintroducing fire to remove excess fuel without killing the longleaf pine trees requires care to burn under litter and duff moisture conditions that alternately allow fire to carry while preventing root exposure or stem girdle. The study site was divided into four blocks that were burned under litter and duff moisture conditions of wet, moist, dry, and very dry. Throughout the 4-month experiment, portable weather stations continuously collected meteorological data, which included continuous measurements of water content in the forest floor material from in situ, time-domain reflectometers. In addition, volumetric moisture samples were collected almost weekly, and pre-burn fuel load and subsequent consumption were measured for each burn. Meteorological variables from the weather stations compared with trends in fuel moisture showed the influence of relative humidity and precipitation on the drying and wetting rates of the litter and duff. Fuel moisture conditions showed significant influence on patterns of fuel consumption and could lead to an understanding of processes that govern longleaf pine mortality.W F 0 2 0 1 0 M o i s t u r e d y n a mi c s a n d f i r e s e v e r i t y S . A . F e r g u s o n e t a l .

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Section: Introductionmentioning

confidence: 99%

Measuring moisture dynamics to predict fire severity in longleaf pine forests

Ferguson¹,

Ruthford²,

McKay³

et al. 2002

Int. J. Wildland Fire

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“…It mainly takes the water vapor exchange equation as the main body, and the parameters are obtained through experiments. In addition, the fine fuel moisture code in the Canadian Fire Risk Rating System reflects the dryness of litters; this code also adopts a semiphysical method, has a good extrapolation ability, and is widely used in globally (Viney & Hatton, 1989;Wotton & Beverly, 2007;Anderson & Anderson, 2009). However, because its parameters are obtained from jack pine and lodgepole pine in Canada, whether it is suitable for the typical litter in Yunnan Province still needs to be verified.…”

Section: Introductionmentioning

confidence: 99%

Dynamic changes in moisture content and applicability analysis of a typical litter prediction model in Yunnan Province

Zhang

Lan

2021

PeerJ

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Background Forest fire risk predictions are based on the most conservation daily predictions, and the lowest litter moisture content of each day is often used to predict the day’s fire risk. Yunnan Province is the area with the most frequent and serious forest fires in China, but there is almost no research on the dynamic changes and model predictions of the litter moisture content in this area. Therefore, to reduce the occurrence of forest fires and improve the accuracy of forest fire risk predictions, it is necessary to understand these dynamic changes and establish an appropriate prediction model for the typical litter moisture content in Yunnan Province. Method During the fire prevention period, daily dynamic changes in the litter moisture content are obtained by monitoring the daily step size, and the relationships between the litter moisture content and meteorological elements are analyzed. In this study, the meteorological element regression method, moisture code method and direction estimation method are selected to establish litter moisture content prediction models, and the applicability of each model is analyzed. Results We found that dynamic changes in the litter moisture content have obvious lags compared with meteorological elements, and the litter moisture content is mainly related to the air temperature, relative humidity and wind speed. With an increase in the sampling interval of meteorological elements, the significances of these correlations first increase and then decrease. The moisture content value obtained by directly using the moisture code method in the Fire Weather Index (FWI) significantly different from the measured value, so this method is not applicable. The mean absolute error (MAE) and mean relative error (MRE) values obtained with the meteorological element regression method are 2.97% and 14.06%, those from the moisture code method are 3.27% and 14.07%, and those from the direct estimation method are 2.82% and 12.76%, respectively. Conclusions The direct estimation method has the lowest error and the strongest extrapolation ability; this method can meet the needs of daily fire forecasting. Therefore, it is feasible to use the direct estimation method to predict litter moisture contents in Yunnan Province.

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“…As the aim of this study is to examine the fire danger indices only, a detailed assessment of the moisture and fuel availability models is not presented. Experimental examinations of the FFDI (Viney and Hatton 1989), FFBT (Viney andHatton 1989, Gould et al 2007) and FWI (Simard and Main 1982, Simard et al 1984, Wotton et al 2005) moisture models have been presented elsewhere.…”

Section: The Indicesmentioning

confidence: 99%

A comparison of fire danger rating systems for use in forests

Matthews¹

2009

AMOJ

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Fire danger indices are an important tool for fire and land managers. This study examines two fire danger indices developed for use in Australian forests, the Forest Fire Danger Index and the Forest Fire Behaviour Tables, and a third, the Fire Weather Index, which was developed for use in Canadian pine forests but is finding use in other countries. The indices are described and their structures examined by comparing the response of each index to wind, fuel moisture, and fuel availability. The application of the indices is examined by comparing their predictions across a range of wind, fuel moisture, and fuel availability conditions, and in a case study using weather station data. The three systems are found to have similar structures but to provide widely varying assessments of fire danger for a given set of inputs. In the case study, differences between how weather variables are incorporated by the indices cancelled out some of the differences in structure and the results were in closer agreement, particularly for the two systems developed for eucalypt forest.

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Assessment of existing fine fuel moisture models applied toEucalyptuslitter

Cited by 26 publications

References 16 publications

Measuring moisture dynamics to predict fire severity in longleaf pine forests

Measuring moisture dynamics to predict fire severity in longleaf pine forests

Dynamic changes in moisture content and applicability analysis of a typical litter prediction model in Yunnan Province

A comparison of fire danger rating systems for use in forests

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