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Abstract
In this analysis, data for seven conifer and eight hardwood species were gathered from across the state of Maine for estimating tree crown widths. Maximum and largest crown width equations were developed using tree diameter at breast height as the primary predicting variable. Quantile regression techniques were used to estimate the maximum crown width and a constrained nonlinear equation was developed for estimating the largest crown width. We noted an improvement in predictions in 11 of 14 species compared to currently-used largest crown width equations in the region. The models performed well across the wide range of stand conditions present in the dataset and proved effective when used in the computation of alternative measures of stand density (crown competition factor and percent canopy cover). Results from this analysis can be used in examining tree crown dynamics and assessing alternative measures of stand density.
Parent Publication
Citation
Russell, Matthew B.; Weiskittel, Aaron R. 2012. Estimating tree crown widths for the primary Acadian species in Maine. In: McWilliams, Will; Roesch, Francis A. eds. 2012. Monitoring Across Borders: 2010 Joint Meeting of the Forest Inventory and Analysis (FIA) Symposium and the Southern Mensurationists. e-Gen. Tech. Rep. SRS-157. Asheville, NC: U.S. Department of Agriculture Forest Service, Southern Research Station. 45-52.
