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Bayesian techniques for surface fuel loading estimation

Posted date: September 13, 2016
Publication Year: 
2016
Authors: Gray, Kathy; Keane II, Robert E.; Karpisz, Ryan; Pedersen, Alyssa; Brown, Rick; Russell, Taylor
Publication Series: 
Research Note (RN)
Source: Res. Note RMRS-RN-74. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 9 p.

Abstract

A 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.

Citation

Gray, 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.