Agritrop
Accueil

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

Pl@ntwood : a computer-assisted identification tool for 110 species of amazon trees based on wood anatomical features. Sarmiento Carolina, Détienne Pierre, Heinz Christine, Molino Jean-François, Grard Pierre, Bonnet Pierre. 2011. IAWA Journal, 32 (2) : 221-232.
http://dx.doi.org/10.1163/22941932-90000053

Symposium on Practical and Scientific Efforts to Combat Illegal Logging, Madison, États-Unis, Juin 2010.
[img] Version publiée - Anglais
Accès réservé aux agents Cirad
Utilisation soumise à autorisation de l'auteur ou du Cirad.
22941932_032_02_S007_text.pdf

Télécharger (414kB) | Demander une copie

Article de revue ; Article de revue à facteur d'impact

Quartile : Q2, Sujet : FORESTRY

Résumé : 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 Agrovoc : Bois, Arbre, Espèce, Identification, Zone tropicale, Logiciel, Imagerie, Anatomie végétale

Mots-clés géographiques Agrovoc : Amazonie

Mots-clés complémentaires : Bois tropical

Classification Agris : F70 - Taxonomie végétale et phyto-géographie
F50 - Anatomie et morphologie des plantes
U40 - Méthodes de relevé
K50 - Technologie des produits forestiers

Axe stratégique Cirad : Axe 6 (2005-2013) - Agriculture, environnement, nature et sociétés

Localisation du document : BA_K50 WIE 5466 [(Bibliothèque de Baillarguet)]

Auteurs et affiliations

  • Sarmiento Carolina
  • Détienne Pierre, CIRAD-PERSYST-UPR Bois tropicaux (FRA)
  • Heinz Christine, UM2 (FRA)
  • Molino Jean-François, IRD (FRA)
  • Grard Pierre, CIRAD-BIOS-UMR AMAP (VNM)
  • Bonnet Pierre, INRA (FRA)

Source : Cirad - Agritrop

Accès réservé

Voir la notice Voir la notice

[ Page générée et mise en cache le 2016-11-16 ]