Steepness and types of steepness of structure curves according to volume of aggregates of forest stands of different categories and tree species

Based on data on the structures according to volumes of aggregates of forest stands of different categories – seed-tree coniferous and deciduous, rapidly growing, coppice, and forest plantations, the steepness of the structure curves has been studied while using the new index method for comparing parabolic curves (Petrin, 2021) , and the types of steepness have been determined by a new method – the method of coefficients, and, for comparison, by the method of natural indicators (Douhovnikov, 1966). Comparisons between the coefficients according to types of steepness and the zero natural indicators have showed an inversely proportional relationship with a high degree of correlation. The curves of the structure indices according to volumes of the particular aggregates of the studied stands according to tree species and stand categories have been compared, and the values   of the obtained indices have been analysed. By applying the new coefficients for the types of structure, the values   and ranges of the steepness indices of all structure curves according to aggregates of stands have been found. It is concluded that the coefficients for the types of structure, as well as the indices according to steepness, are quite convenient tools for finding the differences in the structures of forest stands and homogeneous aggregates of these.

Authors

Publication Details

Journal
Silva Balcanica
Published
2024-12-31
DOI
https://doi.org/10.3897/silvabalcanica.25.e129570
Primary Topic
Forest ecology and management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Steepness and types of steepness of structure curves according to volume of aggregates of forest stands of different categories and tree species

Rumen Petrin
Silva Balcanica
Forest ecology and management
article

Steepness and types of steepness of structure curves according to volume of aggregates of forest stands of different categories and tree species

Rumen Petrin
article en

Abstract

Based on data on the structures according to volumes of aggregates of forest stands of different categories – seed-tree coniferous and deciduous, rapidly growing, coppice, and forest plantations, the steepness of the structure curves has been studied while using the new index method for comparing parabolic curves (Petrin, 2021) , and the types of steepness have been determined by a new method – the method of coefficients, and, for comparison, by the method of natural indicators (Douhovnikov, 1966). Comparisons between the coefficients according to types of steepness and the zero natural indicators have showed an inversely proportional relationship with a high degree of correlation. The curves of the structure indices according to volumes of the particular aggregates of the studied stands according to tree species and stand categories have been compared, and the values   of the obtained indices have been analysed. By applying the new coefficients for the types of structure, the values   and ranges of the steepness indices of all structure curves according to aggregates of stands have been found. It is concluded that the coefficients for the types of structure, as well as the indices according to steepness, are quite convenient tools for finding the differences in the structures of forest stands and homogeneous aggregates of these.

Silva BalcanicaVol. 25(3)
Life in Land
Openalex Percentile: Top 76%
Forest ecology and management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.