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Predicting tree-seedling height distributions using subcontinental-scale forest inventory dataAuthor(s): James A. Westfall; William H. McWilliams
Source: Forest Ecology and Management
Publication Series: Scientific Journal (JRNL)
Station: Northern Research Station
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DescriptionThe importance of tree seedlings in determining future stand composition and structure is welldocumented in forestry literature. When planned or unanticipated overstory removal events occur, subsequent regeneration success is often linked to the number of seedlings and their height distribution. Yet, in most forest inventories, only counts of seedlings are obtained as it is too time-consuming to measure individual seedlings. To better understand the expected height distribution, models were developed to predict Weibull distribution parameters based on seedling abundance information and stand/site characteristics. A number of these characteristics were found to be statistically significant predictors of the distribution parameters; however, a more parsimonious model using stand basal area, stand age, number of seedlings, and latitude provided essentially the same fit statistics. Models were fitted for all species and for selected species subgroups, but there was generally insufficient data at this time to develop specieslevel analyses.
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CitationWestfall, James A.; McWilliams, William H. 2017. Predicting tree-seedling height distributions using subcontinental-scale forest inventory data. Forest Ecology and Management. 400: 332-338. https://doi.org/10.1016/j.foreco.2017.06.025.
KeywordsTree regeneration, Weibull distribution, Stand composition, Forest management
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