Avoided clustering for preservation of endangered timber species from the congo basin forest: not a good measure of conservation impact
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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| Format: | Journal |
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Journal of Tropical Forest Science, Forest Research Institute Malaysia
2016
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| Online Access: | http://www.myjurnal.my/public/article-view.php?id=94044 |
| 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. |
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