Version 1
: Received: 8 January 2024 / Approved: 8 January 2024 / Online: 9 January 2024 (02:50:00 CET)
How to cite:
Crainic, G.C.; Curila, M.; Curila, S.; Supuran, A.; Bica, A.M. Spline Regression Mathematical Model for Obtaining a Sustainable Management in Young Beech (Fagus sylvatica L.) Stands. Preprints2024, 2024010645. https://doi.org/10.20944/preprints202401.0645.v1
Crainic, G.C.; Curila, M.; Curila, S.; Supuran, A.; Bica, A.M. Spline Regression Mathematical Model for Obtaining a Sustainable Management in Young Beech (Fagus sylvatica L.) Stands. Preprints 2024, 2024010645. https://doi.org/10.20944/preprints202401.0645.v1
Crainic, G.C.; Curila, M.; Curila, S.; Supuran, A.; Bica, A.M. Spline Regression Mathematical Model for Obtaining a Sustainable Management in Young Beech (Fagus sylvatica L.) Stands. Preprints2024, 2024010645. https://doi.org/10.20944/preprints202401.0645.v1
APA Style
Crainic, G.C., Curila, M., Curila, S., Supuran, A., & Bica, A.M. (2024). Spline Regression Mathematical Model for Obtaining a Sustainable Management in Young Beech (<em>Fagus sylvatica</em> L.) Stands. Preprints. https://doi.org/10.20944/preprints202401.0645.v1
Chicago/Turabian Style
Crainic, G.C., Anamaria Supuran and Alexandru Mihai Bica. 2024 "Spline Regression Mathematical Model for Obtaining a Sustainable Management in Young Beech (<em>Fagus sylvatica</em> L.) Stands" Preprints. https://doi.org/10.20944/preprints202401.0645.v1
Abstract
Having in view the sustainable management of forests, the intensity of silvotechnical interventions is analyzed and documented for young mixed beech stands regenerated naturally by taking into account the allometric relationships between some representative dendrometric elements, respectively, between the height of the trees and the corresponding diameter of their crowns. For this purpose, a functional dependence is established between the height and diameter of the tree crown from young beech stands within which silvotechnical interventions were or were not applied. A mathematical model based on cubic spline regression was developed, also taking into account the determination of the average diameter of the crown for each stand. This average diameter can be used to determine the optimal number of trees per surface unit (ha) at a given time. The research was carried out in three young beech stands, through statistical-mathematical inventories, on sample plots of 300 square meters with a tolerance of 10% and a coverage probability of 90%. The optimal diameter of the crown was obtained by applying the spline regression model, and the most appropriate functional dependence was established, resulting in a linear regression law with a positive slope.
Keywords
sustainable forest management; spacing of the stands; forest productive potential; silvicultural interventions; density of the stands; growing space; crown diameter; cubic spline regression
Subject
Environmental and Earth Sciences, Sustainable Science and Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
