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Bayesian techniques for surface fuel loading estimationAuthor(s): Kathy Gray; Robert Keane; Ryan Karpisz; Alyssa Pedersen; Rick Brown; Taylor Russell
Source: Res. Note RMRS-RN-74. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 9 p.
Publication Series: Research Note (RN)
Station: Rocky Mountain Research Station
PDF: Download Publication (1.0 MB)
DescriptionA study by Keane and Gray (2013) compared three sampling techniques for estimating surface fine woody fuels. Known amounts of fine woody fuel were distributed on a parking lot, and researchers estimated the loadings using different sampling techniques. An important result was that precise estimates of biomass required intensive sampling for both the planar intercept and fixed-area plot methods. This study explores Bayesian statistical methods as a means to reduce the sampling effort needed to obtain a desired precision. We found that Bayesian techniques dramatically increased the precision compared to using no prior information from the site.
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CitationGray, Kathy; Keane, Robert; Karpisz, Ryan; Pedersen, Alyssa; Brown, Rick; Russell, Taylor. 2016. Bayesian techniques for surface fuel loading estimation. Res. Note RMRS-RN-74. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 9 p.
KeywordsBayesian, precision, fuel loading, fixed-area plot, planar intercept
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