Height-diameter models for Scots pine and birch in Finland

By Lauri Mehtätalo. 2005

52 citations recorded by the source corpus.

Height-Diameter (H-D) models for two shade-intolerant tree species were estimated from longitudinal data. The longitudinal character of the data was taken into account by estimating the models as random effects models using two nested levels: stand and measurement occasion level. The results show that the parameters of the H-D equation develop over time but the development rate varies between stands. Therefore the development of the parameters is not linked to the stand age but to the median diameter of the basal-area weighted diameter distribution (DGM). Models were estimated with different predictor combinations in order to produce appropriate models for different situations. The estimated models can be localized for a new stand using measured heights and diameters, presumably from different points in time, and the H-D curves can be projected into the future.

Subfields: Environmental Engineering, Mechanical Engineering, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/9e03a2ff94cfb84555d8e9a8de7958f36066d404

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In Environmental Engineering

In Mechanical Engineering

In Nature and Landscape Conservation

Citations in the corpus

A Nonlinear Mixed-Effects Height-to-Diameter Ratio Model for Several Tree Species Based on Czech National Forest Inventory Data (2019, methodology): “Because of its biological logic and interpretation, the two-stage approach has frequently been used for modelling tree characteristics [53,70,80,81].”
Modeling height-diameter curves for prediction (2015, background): “D curves with minimal sample size per plot (e.g., Lappi 1991, 1997; Mehtätalo 2004, 2005; Calama and Montero 2004; Paulo et al. 2011; Sirkiä et al. 2014).”