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

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CASSIANA ALVES FERREIRA
Janet Gaby Inga Guillen
Raul Huacho Buendía
Osir Daygor Vidal Alanya
Danessa Clarita Reyes Aliaga
Sthefany Madjory Moya Mateo
Benji Steve Ascue Miranda
Thonny Centeno Utos
Andres Velez
MARIO Tomazello Filho

Abstract

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 restoration
measures, 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 parenchyma
mainly 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 wood
identification methodologies presented in the specialized literature.

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Author Biographies

CASSIANA ALVES FERREIRA, INVESTIGADORA PÓSDOCTORAL UNIVERSIDAD CONTINENTAL

Postdoctoral researcher at Universidad Continental, Huancayo, Peru. Responsible for the Wood Anatomy Laboratory at the Universidad Continental. Research areas: ecological and descriptive anatomy of tropical forest species; Identification of tropical woods. Researcher of the MaderApp Project: A mobile application for automatic and real-time recognition of maderable species in Selva Central, Peru. This work is part of the results obtained in the project to recognize wood from forest species based on their anatomy, using neural networks (Machine learning).

Janet Gaby Inga Guillen , Universidad Continental

project general coordinator

Raul Huacho Buendía, Universidad Nacional del Centro del Perú

Project technical forest engineer

Osir Daygor Vidal Alanya, Universidad Nacional del Centro del Perú

Project technical forest engineer

Danessa Clarita Reyes Aliaga, Universidad Continental

project intern

Sthefany Madjory Moya Mateo , Universidad Nacional del Centro del Perú

project intern

Benji Steve Ascue Miranda, Universidad Continental

project intern

Thonny Centeno Utos , Universidad Continental

Mechatronics engineer responsible for the neural networks model

Andres Velez, Universidad Nacional de Medellín

Systems analyst responsible for the neural network model

MARIO Tomazello Filho, Universidade de São Paulo

Researcher of the Maderapp Project: a mobile application for automatic and real-time recognition of maderable species in Selva Central, Peru.