Identification of Least Authentic Timber Species by Anatomical Features based on IAWA Classification

Current practice of wood identification is mainly based on expert and personnel skills as there is no proper mechanism to identify timber species in Sri Lanka . In this research, commonly available timber types namely; Jack-Bedidel, Mahogany- Khaya, Mee-Wanamee, Mara- Suriyamara and Mango-Atamba, which are difficult to distinguish and unreliable by the public. Anatomical properties are used to be a precise and accurate wood identification. In addition to the anatomical features as listed in International Association of Wood Anatomists (IAWA), some non- anatomical features were also employed in the identification process. Major objective of this research was to identify least authentic timber species in Sri Lanka. Timber samples were taken from each species (Radial, Tangential and Transverse sections of the wood) were used in microscopic observations. Micrometrics SE Premium 4 software was used to measure and analysis the anatomical properties and features of the timber. Ten timber types were also differentiated using the key identified features. The findings of the present study would have practical significance as consumers and specially researchers would be benefited to proper identification process.

Authors

Publication Details

Journal
Journal of Environmental Professionals Sri Lanka
Published
2025-10-02
DOI
https://doi.org/10.4038/jepsl.v14i1.7897
Primary Topic
Wood and Agarwood Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification of Least Authentic Timber Species by Anatomical Features based on IAWA Classification

K. K. I. U. Arunakumara, C. K. Muthumala, B. M. S. J. Basnayaka
Journal of Environmental Professionals Sri Lanka
Wood and Agarwood Research
article

Identification of Least Authentic Timber Species by Anatomical Features based on IAWA Classification

K. K. I. U. Arunakumara, C. K. Muthumala, B. M. S. J. Basnayaka
article en

Abstract

Current practice of wood identification is mainly based on expert and personnel skills as there is no proper mechanism to identify timber species in Sri Lanka . In this research, commonly available timber types namely; Jack-Bedidel, Mahogany- Khaya, Mee-Wanamee, Mara- Suriyamara and Mango-Atamba, which are difficult to distinguish and unreliable by the public. Anatomical properties are used to be a precise and accurate wood identification. In addition to the anatomical features as listed in International Association of Wood Anatomists (IAWA), some non- anatomical features were also employed in the identification process. Major objective of this research was to identify least authentic timber species in Sri Lanka. Timber samples were taken from each species (Radial, Tangential and Transverse sections of the wood) were used in microscopic observations. Micrometrics SE Premium 4 software was used to measure and analysis the anatomical properties and features of the timber. Ten timber types were also differentiated using the key identified features. The findings of the present study would have practical significance as consumers and specially researchers would be benefited to proper identification process.

Journal of Environmental Professionals Sri LankaVol. 14(1)
Openalex Percentile: Top 79%
Wood and Agarwood Research
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.

Identification of Least Authentic Timber Species by Anatomical Features based on IAWA Classification — K. K. I. U. Arunakumara, C. K. Muthumala, et al. · Journal of Environmental Professionals Sri Lanka (2025) | TGRS Research Map | TGRS