Wood colorimetry of lauraceae species native to Brazil
| Title: | Wood colorimetry of lauraceae species native to Brazil |
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| Authors: | Helena Vieira, Joielan Xipaia dos Santos, Deivison Venicio Souza, Tawani Lorena Naide Acosta, Polliana D’ Angelo Rios, Graciela Ines Bolzon de Muñiz, Simone Ribeiro Morrone, Silvana Nisgoski |
| Source: | Maderas: Ciencia y Tecnología, Vol 26 (2024) |
| Publisher Information: | Universidad del Bío-Bío, 2024. |
| Publication Year: | 2024 |
| Collection: | LCC:Forestry LCC:Manufactures |
| Subject Terms: | Chromatic coordinates, native wood, Nectandra, Ocotea, species discrimination, visible reflectance spectra, Forestry, SD1-669.5, Manufactures, TS1-2301 |
| More Details: | Considering the complexity and difficulty of identifying forest species, wooden disks were collected to verify the potential of colorimetry to distinguish native species from Araucaria Forest stands of the Lauraceae family. The following species were used: Nectandra megapotamica, Ocotea indecora, Ocotea diospyrifolia and Ocotea puberula. Nees, to provide data on these species that grow naturally in Santa Catarina state, southern Brazil, enriching a robust database that can be practically applied in the commercialization of native woods. Visible spectra and colorimetric parameters were obtained from each anatomical surface and the results were evaluated by comparing the mean of each species regarding radial trunk position and anatomical surface. The data were also submitted to principal component analysis and performance of discriminant models (k-NN, SVM and ANN) for species discrimination with raw and second-derivative data. In general, colorimetric data presented different behavior, and chromatic coordinates a* and b* had higher potential for distinguishing the species. According to the mean spectra, Ocotea indecora had reflectance values different from the other species. By principal component analysis, raw data indicated the separation only of Ocotea indecora, while second-derivative data allowed better distinction of species. In all discrimination models, second-derivative data produced the best results. Thus, the use of colorimetry has potential for wood distinction of the Lauraceae species evaluated, improving the oversight of illegally traded timber. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English Spanish; Castilian |
| ISSN: | 0718221x 0717-3644 0718-221X |
| Relation: | https://revistas.ubiobio.cl/index.php/MCT/article/view/6654; https://doaj.org/toc/0717-3644; https://doaj.org/toc/0718-221X |
| DOI: | 10.22320/s0718221x/2024.45 |
| Access URL: | https://doaj.org/article/70135a1cfaef44afb60606d557ab5e74 |
| Accession Number: | edsdoj.70135a1cfaef44afb60606d557ab5e74 |
| Database: | Directory of Open Access Journals |
| ISSN: | 0718221x 07173644 0718221X |
|---|---|
| DOI: | 10.22320/s0718221x/2024.45 |
| Published in: | Maderas: Ciencia y Tecnología |
| Language: | English Spanish; Castilian |