Skip navigation
Please use this identifier to cite or link to this item: http://repositorio.unb.br/handle/10482/55593
Files in This Item:
File SizeFormat 
ARTIGO_AlternativeTreeSpecies.pdf17,29 MBAdobe PDFView/Open
Title: Alternative tree species for sustainable forest management in the Brazilian Amazon
Authors: Lima, Fernanda Borges de
Souza, Álvaro Nogueira de
Matricardi, Eraldo Aparecido Trondoli
Gaspar, Ricardo de Oliveira
Lima, Ingrid Borges de
Souza, Hallefy Junio de
Santos, Mario Lima dos
Miguel, Eder Pereira
Borges, Luís Antônio Coimbra
Santos, Cassio Rafael Costa dos
Gouveia, Fernando Nunes
Lima, Maria de Fátima de Brito
metadata.dc.identifier.orcid: https://orcid.org/0000-0002-6869-2715
https://orcid.org/0000-0002-5323-6100
https://orcid.org/0009-0001-2276-5149
https://orcid.org/0000-0003-1679-9796
https://orcid.org/0000-0003-0344-5008
https://orcid.org/0000-0003-2807-205X
https://orcid.org/0000-0002-3532-4473
metadata.dc.contributor.affiliation: University of Brasília, College of Technology, Forestry Department
University of Brasília, College of Technology, Forestry Department
University of Brasília, College of Technology, Forestry Department
University of Brasília, College of Technology, Forestry Department
University of Brasília, College of Technology, Forestry Department
University of Brasília, College of Technology, Forestry Department
University of Brasília, College of Technology, Forestry Department
University of Brasília, College of Technology, Forestry Department
Federal University of Lavras, Forestry Department
Federal Rural University of Amazon, Forestry Department
Ministry of Environmental and Climate Change, Forest Products Laboratory, Brazilian Forestry Service
Ministry of Environmental and Climate Change, Forest Products Laboratory, Brazilian Forestry Service
Assunto:: Árvores - Amazônia
Manejo florestal sustentável
Madeira - densidade
Issue Date: 8-Oct-2024
Publisher: MDPI AG
Citation: LIMA, Fernanda Borges de et al. Alternative tree species for sustainable forest management in the Brazilian Amazon. Forests, [S. l.], v. 15, n. 10, 763, 2024. DOI: https://doi.org/10.3390/f15101763. Disponível em: https://www.mdpi.com/1999-4907/15/10/1763. Acesso em: 4 ago. 2026.
Abstract: The scarcity of hardwoods from tropical forests makes the search for alternative species necessary for commercialization. This study aimed to establish groups of timber species from the Amazon Forest with potential for logging purposes through the assessment of their physical-mechanical properties, aiming to identify alternative species that can meet the market demands. We utilized data from the Forest Products Laboratory (LPF) (containing information on basic density and other wood mechanical properties) and the Timberflow platform, as well. We applied a multivariate cluster analysis technique with the aim of grouping species based on the technological characteristics of their wood and evaluating similarity among them to obtain homogeneous groups in terms of economic potential and utilization. The results indicated four homogeneous groups: Cluster 1 (40.72% of species, basic density-db: 690 kg m−3), Cluster 2 (13.92%, db: 260 and 520 kg m−3), Cluster 3 (27.32%, db: 550 and 830 kg m−3), and Cluster 4 (18.04%, db: 830 kg m−3). Most of the 20 listed species are classified as more commercially viable (70%), with high wood density. Species identified as alternatives include Dialium guianense and Zollernia paraensis for Dipteryx odorata, Terminalia argentea for Dinizia excelsa, Terminalia amazonia and Buchenavia grandis for Goupia glabra, and Protium altissimum and Maclura tinctoria for Hymenaea courbaril. The analysis highlighted the overexploitation of a restricted group of species and the need to find alternatives to ensure the sustainability of forest management. This study contributed to identifying species that can serve as alternatives to commercial ones, promoting a more balanced and sustainable forest management.
Licença:: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/4.0/)
DOI: https://doi.org/10.3390/f15101763
Appears in Collections:Artigos publicados em periódicos e afins

Show full item record " class="statisticsLink btn btn-primary" href="/handle/10482/55593/statistics">



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.