Rapid discrimination of wood species from native forest and plantations using near infrared spectroscopy
Aim of study: To verify how well near infrared (NIR) spectroscopy is able to discriminate wood specimens from natural and planted forests. This study was carried out using tropical trees from Brazil. Area of study: Wood specimens coming from Lavras (21°10′S, 44°54′W), Paraopeba (19°16′S, 44°24′W) a...
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| Language: | English |
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Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria
2018-09-01
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| Series: | Forest Systems |
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| Online Access: | http://revistas.inia.es/index.php/fs/article/view/12075 |
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doaj-42bdb9c9df9c45d9a9c3b0e23d53fef72020-11-25T00:55:43ZengInstituto Nacional de Investigación y Tecnología Agraria y AlimentariaForest Systems2171-98452018-09-01272e008e00810.5424/fs/2018272-120752766Rapid discrimination of wood species from native forest and plantations using near infrared spectroscopyFernanda M. G. Ramalho0Jéssica M. Andrade1Paulo R. G. Hein2Universidade Federal de Lavras, Dept. de Ciências Florestais, 37200-000, LavrasUniversidade Federal de Lavras, Dept. de Engenharia, 37200-000, LavrasUniversidade Federal de Lavras, Dept. de Ciências Florestais, 37200-000, LavrasAim of study: To verify how well near infrared (NIR) spectroscopy is able to discriminate wood specimens from natural and planted forests. This study was carried out using tropical trees from Brazil. Area of study: Wood specimens coming from Lavras (21°10′S, 44°54′W), Paraopeba (19°16′S, 44°24′W) and Belo Oriente (19°17′S, 42°23′W) cities, Minas Gerais state, southeastern Brazil were insvetigated. Material and methods: NIR spectra were recorded in the radial surface of wood specimens of four native species (Cedrela sp., Apuleia sp., Aspidosperma sp. and Jacaranda sp.) and two commercial clones (Eucalyptus for bioenergy and pulp & paper). Main results: The principal component analysis (PCA) of spectral information revealed that it is possible to distinguish wood from planted and native forests. The dispersion of scores in the graphic formed by the first and second principal component formed two groups allowing differentiating very clearly the Eucalyptus clones from the native woods. The partial least squares discriminant analysis (PLS-DA) allowed the prediction of group of species with a high degree of correct classification. The PLS-DA models performed from untreated NIR spectra obtained 86 to 100% accuracy for the natural wood species. Research highlights: From PLS-DA of treated NIR spectra, no Eucalyptus wood sample was classified as a natural forest species and vice versa. NIR technique associated with multivariate statistics are promising to discriminate wood specimens from native or planted forests and thus identify frauds.http://revistas.inia.es/index.php/fs/article/view/12075illegal loggingforest exploitationwood identificationtimber classification |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Fernanda M. G. Ramalho Jéssica M. Andrade Paulo R. G. Hein |
| spellingShingle |
Fernanda M. G. Ramalho Jéssica M. Andrade Paulo R. G. Hein Rapid discrimination of wood species from native forest and plantations using near infrared spectroscopy Forest Systems illegal logging forest exploitation wood identification timber classification |
| author_facet |
Fernanda M. G. Ramalho Jéssica M. Andrade Paulo R. G. Hein |
| author_sort |
Fernanda M. G. Ramalho |
| title |
Rapid discrimination of wood species from native forest and plantations using near infrared spectroscopy |
| title_short |
Rapid discrimination of wood species from native forest and plantations using near infrared spectroscopy |
| title_full |
Rapid discrimination of wood species from native forest and plantations using near infrared spectroscopy |
| title_fullStr |
Rapid discrimination of wood species from native forest and plantations using near infrared spectroscopy |
| title_full_unstemmed |
Rapid discrimination of wood species from native forest and plantations using near infrared spectroscopy |
| title_sort |
rapid discrimination of wood species from native forest and plantations using near infrared spectroscopy |
| publisher |
Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria |
| series |
Forest Systems |
| issn |
2171-9845 |
| publishDate |
2018-09-01 |
| description |
Aim of study: To verify how well near infrared (NIR) spectroscopy is able to discriminate wood specimens from natural and planted forests. This study was carried out using tropical trees from Brazil.
Area of study: Wood specimens coming from Lavras (21°10′S, 44°54′W), Paraopeba (19°16′S, 44°24′W) and Belo Oriente (19°17′S, 42°23′W) cities, Minas Gerais state, southeastern Brazil were insvetigated.
Material and methods: NIR spectra were recorded in the radial surface of wood specimens of four native species (Cedrela sp., Apuleia sp., Aspidosperma sp. and Jacaranda sp.) and two commercial clones (Eucalyptus for bioenergy and pulp & paper).
Main results: The principal component analysis (PCA) of spectral information revealed that it is possible to distinguish wood from planted and native forests. The dispersion of scores in the graphic formed by the first and second principal component formed two groups allowing differentiating very clearly the Eucalyptus clones from the native woods. The partial least squares discriminant analysis (PLS-DA) allowed the prediction of group of species with a high degree of correct classification. The PLS-DA models performed from untreated NIR spectra obtained 86 to 100% accuracy for the natural wood species.
Research highlights: From PLS-DA of treated NIR spectra, no Eucalyptus wood sample was classified as a natural forest species and vice versa. NIR technique associated with multivariate statistics are promising to discriminate wood specimens from native or planted forests and thus identify frauds. |
| topic |
illegal logging forest exploitation wood identification timber classification |
| url |
http://revistas.inia.es/index.php/fs/article/view/12075 |
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