CLUSTERING FOR PRESERVATION OF ENDANGERED TIMBER SPECIES FROM THE CONGO BASIN FOREST

This paper aims to identify the technological proximity between tropical timber species from the Congo Basin. The analysed properties were correlated with mechanical performances and physical behaviour of glulam and glue joints. Deterministic clustering defines six homogeneous clusters. The fuzzy cl...

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Bibliographic Details
Published in:Journal of tropical forest science 2016-01, Vol.28 (1), p.4-20
Main Authors: Lissouck, R Oum, Pommier, R, Breysse, D, Ohandja, LM Ayina, Mansié, R Dong A
Format: Article
Language:English
Subjects:
Adhesives
Bond strength
Datasets
Determinism
Endangered & extinct species
Endangered species
Forestry
Fuzzy logic
Information technology
Mechanical properties
Moisture content
Outliers
Preservation
Random variables
Species
Statistical analysis
Timber
Tropical forests
Wood
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Summary:This paper aims to identify the technological proximity between tropical timber species from the Congo Basin. The analysed properties were correlated with mechanical performances and physical behaviour of glulam and glue joints. Deterministic clustering defines six homogeneous clusters. The fuzzy clustering provides a more refined picture where proximity between species can be quantified as a progressive concept. The results of this analysis may help the development of engineered tropical wood products, namely, glulam while preserving endangered timber species.
ISSN:0128-1283
2521-9847