Table of Contents
Forests, Volume 10, Issue 10 (October 2019) – 111 articles
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Cover Story (view full-size image) Large and comprehensive datasets are commonly considered as a necessity in developing stem-volume [...] Read more. Large and comprehensive datasets are commonly considered as a necessity in developing stem-volume equations. The aim was to assess how a decreasing number of sample trees affects parametrizing an existing taper curve equation and resultant stem-volume estimates. A TLS-based taper curve was derived for 246 Scots pines from southern Finland to parametrize an existing taper curve equation. To assess sensitivity of the parametrization regarding sample size, the number of Scots pines included in the parametrization varied between full census and 1 Scots pine at a time. RMSE of stem-volume estimates remained ≤20.9% and the mean absolute difference was relatively constant (≤9.0%) when the sample size included ≥46 Scots pines. Thus, with a rather small sample size, a taper curve equation can be re-parametrized for local conditions using point clouds from TLS to produce consistent stem-volume estimates. View this paper