Pl@ntWood: A computer-assisted identification tool for 110 species of Amazon trees based on wood anatomy

Autor: Sarmiento, Carolina, Heinz, Christine, Détienne, Pierre, Bonnet, Pierre
Přispěvatelé: Universidad de Los Andes, BotAnique et BioinforMatique de l'Architecture des Plantes (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université Montpellier 2 - Sciences et Techniques (UM2)-Institut de Recherche pour le Développement (IRD [France-Ouest])-Centre National de la Recherche Scientifique (CNRS), BioWooEB (UPR BioWooEB), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM), BotAnique et BioinforMatique de l'Architecture des Plantes, Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)
Jazyk: angličtina
Rok vydání: 2009
Předmět:
Zdroj: Taxonomic Database Working Group, TDWG 2009 Annual Conference, Montpellier, FRA
Taxonomic Database Working Group, TDWG 2009 Annual Conference
Taxonomic Database Working Group, TDWG 2009 Annual Conference, 2009, Montpellier, France. 2009
Proceedings of TDWG 2009 Annual Conference, Montpellier, France, 9-13 november 2009
Popis: World interest in conservation of tropical forests has increased due to elevated rates of deforestation and climate change issues. Tropical forests are threatened by extensive agriculture and timber trade among other factors; thus, sustainable management and conservation of tropical tree species require reliable and user accessible identification tools. Although wood anatomical features provide a considerable amount of information, only a handful of experts are able to use it for plant species identification. Here, we propose an interactive tool, based on vector graphics, illustrating 96 states of 22 wood anatomical characters from 110 Amazonian tree species belonging to 34 families. Pl@ntWood is a graphical identification tool based on the IDAO (Identification des plantes Assistée par Ordinateur) system, a multimedia approach to plant identification. This system allows non-specialists to identify plants in a user-friendly interface while stimulating self-training in wood anatomy of tropical species. (Texte intégral)
Databáze: OpenAIRE