Bienvenido al Repositorio Institucional del Concytec

El Repositorio Institucional del Concytec tiene como objetivo permitir el libre acceso a la producción científica institucional, optimizando su visibilidad; así mismo garantizar la preservación y conservación de la información relacionada a la ciencia, tecnología e innovación.

Display.item.jsp


Por favor, utiliza este identificador para citar o enlazar este ítem:
http://hdl.handle.net/20.500.12390/3178


Título: Identification of tree species from the Peruvian tropical amazon “Selva Central” forests according to wood anatomy
Autor(es): Alves Ferrerira, Cassiana 
Inga Guillen, Janet Gaby 
Vidal Alanya, Osir Daygor 
Goytendia Centeno, Walter 
Moya Mateo, Sthefany Madjory 
Centeno Utos, Thonny 
Vélez Echeverry, Andrés 
Gamarra Moreno, Daniel 
Tomazello-Filho, Mario 
Resumen: The “Selva Central” of Peru is characterized by its forest species richness that produces quality wood for countless uses. Therefore, it is necessary to identify the wood and its macroscopic anatomy, which is an important tool for the botanical identification of tree species. For this purpose, 13 sawmills located in 3 provinces were selected that exploit several tree species of “Selva Central”. Sampling of representative woods was carried out, identified by common names and, in the laboratory, they were polished, examined, and grouped by the similarity of the macroscopic anatomical structure, leading to the tree species identification. Twenty tree species were identified, belonging to 17 genera, with emphasis on the Lauraceae and Fabaceae families. However, Moraceae, Meliaceae, Lecythidaceae, Euphorbiaceae, Bignoniaceae, Myristicaceae, Combretaceae, and Burseraceae families were also identified. The anatomical structures of all the identified tree species were described, transversal and longitudinal tangential cross section images were collected, and a species identification key was constructed. The implications and importance of tree species identification via wood anatomy were discussed, in terms of controlling forest exploitation, traceability of the production chain, and the future development of an artificial intelligence tree-species identification method.
Descripción: This research was supported by the Project Concytec – Banco Mundial, through its executing unit is the Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica (FONDECYT) (Project No. 043-2019-FONDECYT- BMINC.INV). A special thanks to the entire team of the research project “MaderApp: Un aplicativo móvil para el reconocimiento automático y en tiempo real de especies maderables comerciales para combatir la tala ilegal en Selva Central, Perú”.
Tema: Tropical wood species;Wood identification;Amazon tree species;Peruvian Forest
Editorial: NC State University
Fecha de publicación: 2021
Publicado en: BioResources 
Financiamiento: 043-2019-FONDECYT-BM 
Tipo de publicación: info:eu-repo/semantics/article
Identificador Handle: http://hdl.handle.net/20.500.12390/3178
Recurso relacionado: https://bioresources.cnr.ncsu.edu/resources/identification-of-tree-species-from-the-peruvian-tropical-amazon-selva-central-forests-according-to-wood-anatomy/
Nivel de acceso: info:eu-repo/semantics/openAccess
Colección:6.1 Proyectos de investigación científica

Registro Dublin Core completo

Google ScholarTM

Check

  • Compartir este item
  • QR Code

Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons Creative Commons