Wood identification of Dalbergia nigra (CITES Appendix I) using quantitative wood anatomy, principal components analysis and naive Bayes classification

Gasson, Peter; Miller, Regis B.; Stekel, Dov J.; Whinder, Frances; Ziemiñska, Kasia

doi:10.1093/aob/mcp270

Cited by 65 publications

(58 citation statements)

References 14 publications

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“…Although only around 10-15 species are of economic importance [28], separation of some of them is nowadays a challenge [29]. Several species of the genus have been traded (and still they are) under the name "rosewood" [1], the supposed attribution for this veneer.…”

Section: Resultsmentioning

confidence: 99%

Application of reflected light microscopy for non-invasive wood identification of marquetry furniture and small wood carvings

Ruffinatto¹,

Cremonini²,

Macchioni

et al. 2014

Journal of Cultural Heritage

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a b s t r a c tWood identification is a basic information that should interest any wooden artefact. This typically involves invasive sampling, but sometimes sampling is unattainable either because of the object typology or because it is difficult to obtain authorizations. In the present study, reflected light microscopy potential as a non-invasive identification tool for wooden cultural artefacts is assessed on a number of marquetry furniture and small wood carvings. In more than one half of the 13 examined cases accurate wood identification was possible, while the remaining cases yielded information of diagnostic value, making it possible to exclude several potential candidate species. In a number of cases the use of optical filters improved the visibility of character states. Shape and orientation of surfaces influenced the visibility of microscopic characters. The study confirms that reflected light microscopy is a valuable tool for non-invasive wood identification. In many cases it is able to support accurate identification, in others it can anyway provide important information, useful to help decision about supposed species, or to limit the invasiveness of possible further analysis by addressing them on specific features.

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Section: Resultsmentioning

confidence: 99%

Application of reflected light microscopy for non-invasive wood identification of marquetry furniture and small wood carvings

Ruffinatto¹,

Cremonini²,

Macchioni

et al. 2014

Journal of Cultural Heritage

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“…Examining the wood anatomy is generally the first and most crucial step in the identification process (Koch, 2017). Gasson et al (2010) show that quantitative wood anatomy can help to differentiate selected Dalbergia species. Furthermore, IAWA features like (206) water extract basically colourless to brown or shades of brown, (210) ethanol extract fluorescent, (211) ethanol extract basically colourless to brown or shades of brown, (214) ethanol extract not as above, and (215) froth test positive, seem to be useful to differentiate species within the same genus (Richter et al, 1996, Miller & Wiemann, 2006.…”

Section: Povzetek Summarymentioning

confidence: 99%

“…Kot dopolnitev standardnih anatomskih metod se je kot obetavna izkazala uporaba kvantitativne anatomije in Bayesove klasifikacije (Gasson et al, 2010), ki temelji na dimenzijah elementov v lesu in njihovi pogostosti ter verjetnostni oceni, da določeni kvantitativni podatki veljajo samo za posamezne vrste. Avtorji so na primer pokazali, da je vrsti D. cearensis and D. miscolobium mogoče razlikovati od D. nigra na osnovi podatkov o pogostosti trahej in trakov.…”

Section: Razlikovanje Vrst Znotraj Rodu Dalbergia Differentaition Of unclassified

“…Zaradi dekorativnega videza in ugodnih lastnosti lesa, kot so visoka gostota, dobra dimenzijska stabilnost, odlične akustične lastnosti in odlična obdelavnost, je cenjen za vrsto prestižnih izdelkov in za glasbene inštrumente. Na evropskem tržišču je znan že več kot 300 let (Gasson et al, 2010), v Sloveniji pa se pojavlja le izjemoma. Zaradi dolgotrajnega in prekomernega izkoriščanja je preživetje rio palisandra že dolgo ogroženo.…”

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“…Predelovalci zato iščejo nadomestne lesne vrste s podobnimi lastnostmi. Rod Dalbergia, obsega vsaj 250 vrst (Klitgaard & Lavin, 2005, Gasson et al, 2010, od tega je vsaj 20 komercialno pomembnih in znanih po dekorativnosti in visoki kakovosti lesa . Pri nas je morda najbolj znan vzhodnoindijski palisander (D. latifolia), ki ima primerljivo zgradbo in lastnosti lesa kot rio palisander.…”

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Palisandri in sorodniki iz rodu Dalbergia na seznamu CITES

Čufar¹,

Žveplan²,

Plavčak³

et al. 2018

les-wood

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Ključne besede: Dalbergia spp., palisander, CITES, anatomija lesa, mikroskopska identifikacija lesa, lesena glasbila Abstract: The wood of rosewoods and palisanders from the botanical genus Dalbergia has a decorative coloured heartwood with dark streaks, high density and favourable wood properties, and thus is traditionally used and highly valued for prestige products and musical instruments. Among the most famous representatives of the genus are Brazilian rosewood (D. nigra) and Indian rosewood (D. latifolia). Due to its over-exploitation, Brazilian rosewood was put on the CITES list (Convention on International Trade and Endangered Species of Wild Fauna and Flora) in 1992 (Cites, 2018)

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Wood identification using pressure DSC data

Tarrío-Saavedra

Francisco‐Fernández

Naya

et al. 2013

Journal of Chemometrics

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This work addresses the problem of supervised classification of industrial wood species (seven different types in the present study) through their thermo‐oxidative stability. This is evaluated by pressure differential scanning calorimetry (PDSC) using the ASTM E2009. The maximization of the ratio of correct classification and the reduction of the costs of this activity are intended. This supervised classification problem was carried out using two different proposals: applying novel nonparametric functional data analysis techniques, based on kernel estimation, to the original PDSC curves, and using machine learning classification approaches applied to different multivariate data sets. The multivariate data sets were obtained, on the one hand, by estimating the fractal (Hausdorff) dimension of the PDSC curves by several methods, jointly with selecting the parameters from fitting a nonlinear model to the PDSC curves and, on the other hand, applying principal component analysis or partial linear squares to the thermograms. The results obtained show that the PDSC curves can be used to discriminate wood samples when these innovative and traditional statistical techniques are applied. In the best of the cases, a probability of correct classification that equals to 0.92 was obtained. PDSC represents a new alternative to the use of images, spectra, and other thermal signals as thermogravimetric analysis for classification purposes.Copyright © 2013 John Wiley & Sons, Ltd.

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Wood identification of Dalbergia nigra (CITES Appendix I) using quantitative wood anatomy, principal components analysis and naive Bayes classification

Abstract: Wood anatomy alone cannot distinguish D. nigra from all other commercially important Dalbergia species likely to be encountered by customs officials, but can be used to reduce the number of specimens that would need further study.

Cited by 65 publications

References 14 publications

Application of reflected light microscopy for non-invasive wood identification of marquetry furniture and small wood carvings

Application of reflected light microscopy for non-invasive wood identification of marquetry furniture and small wood carvings

Palisandri in sorodniki iz rodu Dalbergia na seznamu CITES

Wood identification using pressure DSC data

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