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FIRE EFFECTS GUIDE - National Wildfire Coordinating Group

FIRE EFFECTS GUIDE - National Wildfire Coordinating Group

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e. Conclusion. The preliminary sample of 12 observations was<br />

adequate. If the preliminary sample of 12 observations had been<br />

inadequate, the manager had several options. First, more observations<br />

could have been taken. Second, the acceptable precision level could<br />

have been lowered. Third, a lower confidence level could have been<br />

accepted and some added risk incurred. Or fourth, the fire prescription<br />

might have been altered (e.g., faster windspeed or lower fuel moisture<br />

content) to compensate for the added uncertainty. The important point is<br />

that the manager had some quantitative information on which to base a<br />

decision.<br />

f. Note. The size of the preliminary sample depends on the variable<br />

being measured, on the objective for measuring the variable, and on<br />

funds, time, and work force constraints. Inherent variability associated<br />

with most natural resource sampling indicates that 10 or more<br />

observations may usually be required to obtain a reasonable estimate of<br />

variance. One observation is never adequate because degrees of<br />

freedom would be zero and no analysis is possible.<br />

2. t-Test for Paired Observations (Plots). This test is especially useful<br />

for comparing effects between two fire treatments, such as burned vs.<br />

unburned, or backing fires vs. heading fires. An assumption of the test is<br />

that pairs of plots are established prior to the treatment, each group has<br />

the same population variance, the population of observations follows the<br />

normal distribution, and that treatments are randomly assigned to each<br />

individual plot. It is possible, however, to establish plot pairs adjacent to<br />

firelines (one plot on either side) such that these assumptions are not<br />

violated. A similar test for unpaired plots (Freese 1967, p. 24) should be<br />

used where plots are not paired; that test, however, is slightly more time<br />

consuming and a slightly greater loss of sensitivity may occur. Only the t-<br />

test for paired plots is illustrated here.<br />

Example: A fire manager suspected that fire residence time might be an<br />

important factor affecting postburn Idaho fescue (Festuca idahoensis)<br />

production. The manager designed an experiment to evaluate the<br />

suspicion. An area was selected where part of the burning would be<br />

done by a backing fire and part by a heading fire. A series of 10 plots<br />

were clipped, oven-dried, and weighed preburn to establish that the two<br />

areas were from the same population and had similar variances, and to<br />

determine preburn fuel loading. The heading and backing fires were<br />

then conducted on the same day under similar environmental conditions.

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