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Estimating forest canopy bulk density using six indirect methodsAuthor(s): Robert E. Keane; Elizabeth D. Reinhardt; Joe Scott; Kathy Gray; James Reardon
Source: Canadian Journal of Forestry Research. 35(3): 724-739.
Publication Series: Scientific Journal (JRNL)
Station: Rocky Mountain Research Station
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DescriptionCanopy bulk density (CBD) is an important crown characteristic needed to predict crown fire spread, yet it is difficult to measure in the field. Presented here is a comprehensive research effort to evaluate six indirect sampling techniques for estimating CBD. As reference data, detailed crown fuel biomass measurements were taken on each tree within fixed-area plots located in five important conifers types in the western United States, using destructive sampling following a series of four sampling stages to measure the vertical and horizontal distribution of canopy biomass. The six ground-based indirect measurement techniques used these instruments: LI-COR LAI-2000, AccuPAR ceptometer, CID digital plant canopy imager, hemispherical photography, spherical densiometer, and point sampling. These techniques were compared with four aggregations of crown biomass to compute CBD: foliage only, foliage and small branchwood, foliage and all branchwood (no stems), and all canopy biomass components. Most techniques had the best performance when all canopy biomass components except stems were used. Performance dropped only slightly when the foliage and small branchwood canopy biomass aggregation (best approximates fuels available for crown fires) was employed. The LAI-2000, hemispherical photography, and CID plant canopy imager performed best. Regression equations that predict CBD from gap fraction are presented for all six techniques.
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CitationKeane, Robert E.; Reinhardt, Elizabeth D.; Scott, Joe; Gray, Kathy; Reardon, James 2005. Estimating forest canopy bulk density using six indirect methods. Canadian Journal of Forestry Research. 35(3): 724-739.
Keywordscanopy bulk density (CBD), crown fire spread, sampling techniques
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