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Pl@ntwood : a computer-assisted identification tool for 110 species of amazon trees based on wood anatomical features

Sarmiento C., Détienne P., Heinz C., Molino J.F., Grard P., Bonnet P.. 2011. IAWA Journal, 32 (2) : p. 221-232. Symposium on Practical and Scientific Efforts to Combat Illegal Logging, 2010-06, Madison (Etats-Unis).

Sustainable management and conservation of tropical trees and forests require accurate identification of tree species. Reliable, user-friendly identification tools based on macroscopic morphological features have already been developed for various tree floras. Wood anatomical features provide also a considerable amount of information that can be used for timber traceability, certification and trade control. Yet, this information is still poorly used, and only a handful of experts are able to use it for plant species identification. Here, we present an interactive, user-friendly tool based on vector graphics, illustrating 99 states of 27 wood characters from 110 Amazonian tree species belonging to 34 families. Pl@ntWood is a graphical identification tool based on the IDAO system, a multimedia approach to plant identification. Wood anatomical characters were selected from the IAWA list of microscopic features for hardwood identification, which will enable us to easily extend this work to a larger number of species. A stand-alone application has been developed and an on-line version will be delivered in the near future. Besides allowing non-specialists to identify plants in a user-friendly interface, this system can be used with different purposes such as teaching, conservation, management, and self-training in the wood anatomy of tropical species. (Résumé d'auteur)

Mots-clés : bois tropical; anatomie végétale; imagerie; logiciel; zone tropicale; identification; espèce; arbre; bois; amazonie

Thématique : Taxonomie végétale et phyto-géographie; Anatomie et morphologie des plantes; Méthodes de relevé; Technologie des produits forestiers

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