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FIRE EFFECTS GUIDE - National Wildfire Coordinating Group

FIRE EFFECTS GUIDE - National Wildfire Coordinating Group

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c. Fuel chemistry. Application of long term fire retardants inhibits fuel<br />

ignition and hence fuel consumption.<br />

2. Ignition.<br />

a. Backing vs. heading fires. Backing fires usually result in more<br />

complete fuel consumption, particularly of litter and duff layers, than<br />

heading fires.<br />

b. Mass firing. Use of mass firing techniques, such as center firing or<br />

concentric firing, may result in more complete consumption of fuels, for<br />

a given moisture regime, than if a backing or heading fire were used.<br />

c. Ignition devices. Use of ignition devices such as a heli-torch that<br />

can apply a lot of fire in a short period of time can result in a fire that<br />

causes more woody fuel consumption than if surface ignition were<br />

used.<br />

D. Methods To Monitor Fire Effects<br />

Fuels inventory data are collected to facilitate accurate prescription<br />

development, to determine if fuel consumption objectives are met, and<br />

to relate fuel reduction to fire effects on other resources. Fuel moisture<br />

data can determine whether prescribed conditions are met, and<br />

document the conditions that correlate with specific amounts of fuel<br />

consumption and related aspects of the heat regime of the fire. If smoke<br />

emissions are a critical factor in a prescribed fire program, both fuel<br />

moisture and fuel consumption data can be used to predict emissions,<br />

refine prescriptions, and obtain an accurate estimate of the amount of<br />

emissions produced by a particular prescribed fire. While mineral soil is<br />

not a fuel, soil moisture data can provide important information for<br />

documentation and interpretation of fire effects that are related to subsurface<br />

heating.<br />

1. Fuel Loading. The type and amount of fuels inventory should match<br />

the objective for<br />

doing the inventory, because fuels data can be expensive and time<br />

consuming to collect. Specific techniques have been developed for<br />

inventorying or estimating living and dead biomass in forest and<br />

rangeland vegetative types, many of which were developed specifically

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