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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Main Author: Azhanie Sardangi
Other Authors: Oum Lissouck, R.
Format: Journal
Published: Journal of Tropical Forest Science, Forest Research Institute Malaysia 2016
Subjects:
Online Access:http://www.myjurnal.my/public/article-view.php?id=94044
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recordtype eprints
spelling oai:www.myjurnal.my:940442018-09-20T00:00:00Z Avoided clustering for preservation of endangered timber species from the congo basin forest: not a good measure of conservation impact Azhanie Sardangi Agricultural sciences 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. Journal of Tropical Forest Science, Forest Research Institute Malaysia Oum Lissouck, R. 2016-00-00 Journal application/pdf 94044 www.myjurnal.my/filebank/published_article/440762.pdf www.myjurnal.my/public/article-view.php?id=94044
repository_type Digital Repository
institution_category Local Institution
institution MyJournal
building MyJournal Repository
collection Online Access
topic Agricultural sciences
spellingShingle Agricultural sciences
Azhanie Sardangi
Avoided clustering for preservation of endangered timber species from the congo basin forest: not a good measure of conservation impact
description 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.
author2 Oum Lissouck, R.
author_facet Oum Lissouck, R.
Azhanie Sardangi
format Journal
author Azhanie Sardangi
author_sort Azhanie Sardangi
title Avoided clustering for preservation of endangered timber species from the congo basin forest: not a good measure of conservation impact
title_short Avoided clustering for preservation of endangered timber species from the congo basin forest: not a good measure of conservation impact
title_full Avoided clustering for preservation of endangered timber species from the congo basin forest: not a good measure of conservation impact
title_fullStr Avoided clustering for preservation of endangered timber species from the congo basin forest: not a good measure of conservation impact
title_full_unstemmed Avoided clustering for preservation of endangered timber species from the congo basin forest: not a good measure of conservation impact
title_sort avoided clustering for preservation of endangered timber species from the congo basin forest: not a good measure of conservation impact
publisher Journal of Tropical Forest Science, Forest Research Institute Malaysia
publishDate 2016
url http://www.myjurnal.my/public/article-view.php?id=94044
first_indexed 2018-09-20T13:26:24Z
last_indexed 2018-09-20T13:26:24Z
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