Rapid discrimination of wood species from native forest and plantations using near infrared spectroscopy

Fernanda M G Ramalho,Jéssica M Andrade,Paulo R G Hein

doi:10.5424/fs/2018272-12075

Fernanda M G Ramalho, Jéssica M Andrade + Show 1 more

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https://doi.org/10.5424/fs/2018272-12075

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Journal: Forest Systems	Publication Date: Sep 24, 2018
Citations: 16	License type: cc-by

Affiliation: Universidade Federal de Lavras

Abstract

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.

Highlights

Deforestation and illegal logging in natural forests are a global concern because of the threats they pose to the rich biodiversity of some regions and because of their contributions towards climate change (Brito & Barreto, 2006)
This study demonstrates that Near infrared (NIR) spectroscopy has sensibility for clearly separating Eucalyptus from native wood and can be used for quickly and reliably identify the origin of unknown wood samples
principal component analysis (PCA) based on untreated NIR spectra is able to clearly distinguish Eucalyptus wood samples from

Summary

Introduction

Deforestation and illegal logging in natural forests are a global concern because of the threats they pose to the rich biodiversity of some regions and because of their contributions towards climate change (Brito & Barreto, 2006). In Brazil, despite the enforcement against illegal logging has improved, the deforestation is still increasing. According to Yang et al (2015) the traditional methods for wood identification are time consuming, laborious and require expertise because it involves physical, anatomical, and visual aspects of wood species. Discriminate natural and planted forests is to perceive differences between them and to classify them in function of these differences. The nondestructive and fast separation of wood species could improve the control in terms of monitoring of forest exploitation and wood transportation. Near infrared (NIR) spectroscopy has been successfully used for the nondestructive measurement of organic materials

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