Fire behaviour in spinifex fuels on the Gibson Desert Nature Reserve, Western Australia

Burrows, Neil; Ward, B.; Robinson, Alex

doi:10.1016/s0140-1963(18)30708-0

Cited by 69 publications

(28 citation statements)

References 8 publications

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“…It is worth noting that M 50 values observed in this work for E. vaginatum (36.1%) were similar to those observed in grasses from other studies elsewhere in the world, which range from 35% to 38% (Table S1) (Burrows et al 1991;de Groot et al 2005;Dimitrakopoulos et al 2010). However, the M 50 values for M. caerulea and E. angustifolium observed here were much greater (48.1% and 47.8%).…”

Section: Discussionsupporting

confidence: 87%

Models for predicting fire ignition probability in graminoids from boreo–temperate moorland ecosystems

Santana

Marrs

2016

Int. J. Wildland Fire

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An increase in both the frequency and severity of wildfires in boreo-temperate ecosystems is predicted. Therefore, to develop efficient fire rating systems, the relationship between the fuel moisture content (FMC) of vegetation and ignition thresholds needs to be determined. We developed fire ignition probability models for three graminoid species collected in central England, but common in boreo-temperate ecosystems (Eriophorum angustifolium, E. vaginatum and Molinia caerulea). Specifically, we assessed through laboratory experiments (1) seasonal differences between early spring and late summer in fuel traits such as height, fuel load, fuel bulk density and dead fuel load proportion, and (2) the role of these fuel traits, environmental conditions and dead FMC in determining the probability of ignition. There were seasonal differences in fuel traits among species, with an increase in dead fuel load proportion after winter. The dead FMC was the only variable determining initial sustained ignitions. However, the seasonal differences in dead fuel were not sufficient to affect the FMC threshold at which graminoids start to ignite. Graminoids begin to ignite at high levels of dead FMC, and there are differences between species (from 36.1% to 48.1%). This work assists in improving fire ignition predictions in graminoid-dominated ecosystems by providing warnings based on critical moisture thresholds.

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Section: Discussionsupporting

confidence: 87%

Models for predicting fire ignition probability in graminoids from boreo–temperate moorland ecosystems

Santana

Marrs

2016

Int. J. Wildland Fire

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“…Data gathered were analysed using multiple linear regression techniques. Burrows et al (1991) found that above a threshold wind speed zone (3.33-4.72 m s −1 ), in which flames are tilted sufficiently to bridge the gap between hummocks (Bradstock and Gill 1993;Gill et al 1995), the ROS varied with the square of the wind speed (i.e. β = 2, R 2 = 0.85).…”

Section: Calm Spinifex (Wa Department Of Conservation and Land Managementioning

confidence: 99%

“…It has long been noted (e.g. Bruner and Klebenow 1979;Burrows et al 1991) that fires in discontinuous fuels, such as spinifex, have a minimum wind speed required before forward spread is achieved and this is an important aspect in critical (i.e. go-no-go) fire behaviour.…”

Section: Threshold Wind Speedmentioning

confidence: 99%

Wildland surface fire spread modelling, 1990 - 2007. 2: Empirical and quasi-empirical models

Sullivan¹

2009

Int. J. Wildland Fire

330

114

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In recent years, advances in computational power have led to an increase in attempts to model the behaviour of wildland fires and to simulate their spread across landscape. The present series of articles endeavours to comprehensively survey and précis all types of surface fire spread models developed during the period 1990-2007. The current paper surveys models of an empirical or quasi-empirical nature. These models are based on the statistical analysis of experimentally obtained data with or without some physical framework for the basis of the relations. Other papers in the series review models of a physical or quasi-physical nature, and mathematical analogues and simulation models. The main relations of empirical models are those of wind speed and fuel moisture content with rate of forward spread. The focus of the discussion is on the treatment of the wind speed and fuel moisture functions by the models.

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“…This lends further support to the possibility of overlap in assemblages due to the proximity of sites to each other. Burrows et al (1991) found that the patchiness of fire in spinifex grasslands allows for the persistence of swaths of unburnt grass between burnt areas. These surviving islands would promote faster re-colonization of burnt areas by ants.…”

Section: Article In Pressmentioning

confidence: 99%

The effect of fire on ant assemblages in the Gibson Desert Nature Reserve, Western Australia

Gunawardene

Majer

2005

Journal of Arid Environments

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Fire behaviour in spinifex fuels on the Gibson Desert Nature Reserve, Western Australia

Cited by 69 publications

References 8 publications

Models for predicting fire ignition probability in graminoids from boreo–temperate moorland ecosystems

Models for predicting fire ignition probability in graminoids from boreo–temperate moorland ecosystems

Wildland surface fire spread modelling, 1990 - 2007. 2: Empirical and quasi-empirical models

The effect of fire on ant assemblages in the Gibson Desert Nature Reserve, Western Australia

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