Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/61518
Type of publication: Straipsnis Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or / and Scopus (S1)
Field of Science: Miškotyra / Forestry (A004);Matematika / Mathematics (N001)
Author(s): Rupšys, Petras;Petrauskas, Edmundas
Title: Evolution of the bivariate tree diameter and height distributions via the stand age: von Bertalanffy bivariate diffusion process approach
Is part of: Journal of Forest Research. Oxon : Taylor & Francis Ltd, 2019, vol. 24, iss. 1
Extent: p. 16-26
Date: 2019
Keywords: Diameter;Height;Bivariate stochastic differential equation;Maximum likelihood procedure
Abstract: This paper focuses on the tree diameter and height distribution modeling and prediction technique, which better reflects the tree size dynamics in a stand. The evolution of the tree diameter and height structure in a forest stand is modeled using the bivariate fixed- and mixed-effect parameters Bertalanffy-type stochastic differential equation, resulting in a new biologically plausible class of bivariate lognormal probability density functions of the tree size components for response to the average stand age. The newly developed bivariate lognormal shape probability density function of the tree diameter and height at a given stand age can be used to describe the evolution of the mean diameter, height, stem volume, and stand volume per hectare in a stand in the forward and backward directions. Fixed and random effects are estimated by the maximum likelihood procedure using the Scots pine trees dataset in Lithuania
Internet: https://www.tandfonline.com/doi/full/10.1080/13416979.2018.1544433
https://hdl.handle.net/20.500.12259/61518
https://doi.org/10.1080/13416979.2018.1544433
Affiliation(s): Vytauto Didžiojo universitetas
Appears in Collections:1. Straipsniai / Articles
Universiteto mokslo publikacijos / University Research Publications

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