Use this url to cite publication: https://hdl.handle.net/20.500.12259/99187
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Modeling dynamics of structural components of forest stands based on trivariate stochastic differential equation
Type of publication
Straipsnis Web of Science ir Scopus duomenų bazėje / Article in Web of Science and Scopus database (S1)
Author(s)
Title
Modeling dynamics of structural components of forest stands based on trivariate stochastic differential equation
Is part of
Forests. Basel : MDPI AG, 2019, vol. 10, iss. 6
Date Issued
Date Issued |
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2019 |
Publisher
Basel : MDPI AG
Is Referenced by
Extent
p. 1-24
Field of Science
Abstract
Research Highlights: Today’s approaches to modeling of forest stands are in most cases based on that the regression models and they are constructed as static sub-models describing individual stands variables. The disadvantages of this method; it is laborious because too many different equations need to be assessed and empirical choices of candidate equations make the results subjective; it does not relate to the stand variables dynamics against the age dimension (time); and does not consider the underlying covariance structure driving changes in the stand variables. In this study, the dynamical model defined by a fixed-and mixed effect parameters trivariate stochastic differential equation (SDE) is introduced and described how such a model can be used to model quadratic mean diameter, mean height, number of trees per hectare, self-thinning line, stand basal area, stand volume per hectare and much more. Background and Objectives: New developed marginal and conditional trivariate probability density functions, combining information generated from an age-dependent variance-covariance matrix of quadratic mean diameter, mean height and number of trees per hectare, improve stand growth prediction, and forecast (in forecast the future is completely unavailable and must only be estimated from historical patterns) accuracies. Materials and Methods: Fixed-and mixed effect parameters SDE models were harmonized to predict and forecast the dynamics of quadratic mean diameter, mean height, number of trees per hectare, basal area, stand volume per hectare, and their current and mean increments. The results and experience from applying the SDE concepts and techniques in an extensive whole stand growth and yield analysis are described using a Scots pine (Pinus sylvestris L.) experimental dataset in Lithuania.
Type of document
type::text::journal::journal article::research article
Language
Anglų / English (en)
Coverage Spatial
Šveicarija / Switzerland (CH)
Description
art. no. 506