Wood raw materials obtained from intermediate-use cuttings in Azerbaijan's beech forests and possibilities of their complex uses

The article examines the volume, harvesting, transportation, and integrated utilization of wood raw materials obtained from intermediate cuttings in beech (Fagus orientalis) forests of Azerbaijan. For this purpose, experimental sites were established for each thinning regime as well as for selective sanitary cuttings. Each site was subdivided into 7-10 compartments, resulting in a total of 43 sample plots with a combined area of 26 hectares. The results of the logging operations indicated that the total volume of harvested wood raw material amounted to 508.16 m3 (19.6 m3/ha), of which 53.1% was classified as merchantable timber, 28.0% as industrial (technological) wood, and 18.9% as fuelwood (green wood). To ensure the continuous collection and delivery of harvested timber in full volume, maps were developed in the forested areas of the northeastern Greater Caucasus. Two to three intermediate collection points were established in eight directions, each extending 40-50 km. Each collection point was designed to collect wood raw materials located within a 15-20 km radius. The article also explored the potential for the integrated use of low-quality wood and wood waste in the production of wood-based panel materials and bioactive substances.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2026-02-04
DOI
https://doi.org/10.1051/bioconf/202621503003/pdf
Primary Topic
Forest Biomass Utilization and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Wood raw materials obtained from intermediate-use cuttings in Azerbaijan's beech forests and possibilities of their complex uses

Tariyel Jafarov, Shahhaz Shiralivev, Kemala Yusifova, Aydin Yakliyayev et al.
Springer Link (Chiba Institute of Technology)
Forest Biomass Utilization and Management
article

Wood raw materials obtained from intermediate-use cuttings in Azerbaijan's beech forests and possibilities of their complex uses

Tariyel Jafarov, Shahhaz Shiralivev, Kemala Yusifova, Aydin Yakliyayev, Ulviyya Kariinova-Japharova
article en

Abstract

The article examines the volume, harvesting, transportation, and integrated utilization of wood raw materials obtained from intermediate cuttings in beech (Fagus orientalis) forests of Azerbaijan. For this purpose, experimental sites were established for each thinning regime as well as for selective sanitary cuttings. Each site was subdivided into 7-10 compartments, resulting in a total of 43 sample plots with a combined area of 26 hectares. The results of the logging operations indicated that the total volume of harvested wood raw material amounted to 508.16 m3 (19.6 m3/ha), of which 53.1% was classified as merchantable timber, 28.0% as industrial (technological) wood, and 18.9% as fuelwood (green wood). To ensure the continuous collection and delivery of harvested timber in full volume, maps were developed in the forested areas of the northeastern Greater Caucasus. Two to three intermediate collection points were established in eight directions, each extending 40-50 km. Each collection point was designed to collect wood raw materials located within a 15-20 km radius. The article also explored the potential for the integrated use of low-quality wood and wood waste in the production of wood-based panel materials and bioactive substances.

Springer Link (Chiba Institute of Technology)
Life in Land
Openalex Percentile: Top 65%
Forest Biomass Utilization 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.