Identification of 20 species from the Peruvian Amazon tropical forest by the wood macroscopic features: Caracterização macroscópica da madeira de 20 espécies na Amazônia Peruana

• Autor(a) principal: FERREIRA, CASSIANA ALVES
• Data de Publicação: 2023
• Outros Autores: Inga Guillen , Janet Gaby, Huacho Buendía, Raul, Vidal Alanya, Osir Daygor, Reyes Aliaga, Danessa Clarita, Moya Mateo , Sthefany Madjory, Ascue Miranda, Benji Steve, Centeno Utos , Thonny, Velez, Andres, Tomazello Filho, MARIO
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Cerne (Online)
• Texto Completo: https://cerne.ufla.br/site/index.php/CERNE/article/view/3134
• topic: Tropical wood identification Peruvian Amazon forest illegal timber trade Forensic identification.; Dear Editor, This paper is part of the Technological Project calls “MaderApp: un aplicativo móvil para reconocimiento automático y en tiempo real de especies maderables en Selva Central, Perú”, whose object is to identify forestal species using macroscopic anatomical structure and convolutional neural networks in the Peruvian Amazon. We are concluding the project with excellent results on 26 species of which some are in this work. One of our objectives is the formation of a database about the anatomical characteristics of these species and the publication of this article in its excellent periodical would help us in the diffusion of these results I put myself at disposal for eventual doubts. Greetings

Background: The biodiversity of the Peruvian Amazon tropical forests is one of the most expressive in the world, with 2500 forest species, although restricted to about 250 tree species used commercially. This species diversity indicates the challenge magnitude for research in taxonomy and timber species identification. Likewise, it implies the complexity of biodiversity conservation and restorationmeasures, which are directly related to the control of deforestation, cutting and transport of illegal wood. With this objective, the present study describes the macroscopic wood anatomical features in order to identify 20 tree species from Peruvian Amazon Forest, “Selva Central”, including an identification key and tree species botanical validation.Results: The wood species are included in 12 families commonly found in the tropical forests of Peru, highlighting the Fabaceae (25%), Moraceae (15%), Podocarpaceae and Lauraceae (10%) families and are sold as timber for several uses and applications in the internal market and for export. The wood species presented common anatomical features, such as diffuse porosity, visible axial parenchymamainly distinct, and, eventually, with ray storied, e. g: A. cearensis, M. balsamum and M. peruiferum.Conclusion: The tropical tree species identification is possible by analyzing their wood macroscopic anatomical structure. The results can be also applied in the wood trade traceability by controlling deforestation and illegal wood commerce and in proposing policies for biodiversity conservation and sustainable use of natural resources. They constitute, likewise, a database for the recent woodidentification methodologies presented in the specialized literature.