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

BACKGROUND AND AIMS Dalbergia nigra is one of the most valuable timber species of its genus, having been traded for over 300 years. Due to over-exploitation it is facing extinction and trade has been banned under CITES Appendix I since 1992. Current methods, primarily comparative wood anatomy, are inadequate for conclusive species identification. This study aims to find a set of anatomical characters that distinguish the wood of D. nigra from other commercially important species of Dalbergia from Latin America. METHODS Qualitative and quantitative wood anatomy, principal components analysis and naïve Bayes classification were conducted on 43 specimens of Dalbergia, eight D. nigra and 35 from six other Latin American species. KEY RESULTS Dalbergia cearensis and D. miscolobium can be distinguished from D. nigra on the basis of vessel frequency for the former, and ray frequency for the latter. Principal components analysis was unable to provide any further basis for separating the species. Naïve Bayes classification using the four characters: minimum vessel diameter; frequency of solitary vessels; mean ray width; and frequency of axially fused rays, classified all eight D. nigra correctly with no false negatives, but there was a false positive rate of 36.36 %. CONCLUSIONS 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.

[1]  Goldsmith Ei The Convention on International Trade in Endangered Species of Wild Fauna and Flora. , 1978 .

[2]  Alex C. Wiedenhoeft,et al.  Structure and function of wood , 2012 .

[3]  Eric R. Ziegel,et al.  Applied Multivariate Data Analysis , 2002, Technometrics.

[4]  Sean R. Eddy,et al.  Biological sequence analysis: Contents , 1998 .

[5]  C. Williams Applied Multivariate Data Analysis (2nd Edition) , 2002 .

[6]  Marzuki Khalid,et al.  DESIGN OF AN INTELLIGENT WOOD SPECIES RECOGNITION SYSTEM , 2008 .

[7]  J. Ragle,et al.  IUCN Red List of Threatened Species , 2010 .

[8]  D. A. Kribs Commercial foreign woods on the American market , 1968 .

[9]  A. M. Carvalho A synopsis of the genus Dalbergia (Fabaceae: Dalbergieae) in Brazil , 2008, Brittonia.

[10]  J. Flynn,et al.  A Guide to Useful Woods of the World , 1994 .

[11]  M. Möller,et al.  Morphometric analysis of the Taxus wallichiana complex (Taxaceae) based on herbarium material , 2007 .

[12]  R. R. Anda,et al.  Wood Fluorescence of Commercial Timbers Marketed in Mexico , 2008 .

[13]  Roger M. Rowell,et al.  Handbook of wood chemistry and wood composites. , 2005 .

[14]  Regis B. Miller,et al.  WOOD ANATOMY OF THE BRAZILIAN SPECIES OF SWARTZIA AND CONSIDERATIONS WITHIN THE TRIBE SWARTZIEAE , 2002 .

[15]  Hans Georg Richter,et al.  Dalbergia Congestiflora Standl.: Wood Structure And Physico-Chemical Properties Compared With Other Central American Species Of Dalbergia , 1996 .

[16]  P. Gasson,et al.  PCA of cites listed Pterocarpus santalinus (Leguminosae) wood. , 2010 .

[17]  Rupert G. Miller The jackknife-a review , 1974 .

[18]  D. Hand,et al.  Idiot's Bayes—Not So Stupid After All? , 2001 .

[19]  S. J. Record “Timbers of the New World” , 1944, Nature.

[20]  B. Everitt,et al.  Applied Multivariate Data Analysis. , 1993 .

[21]  T. Speed,et al.  Biological Sequence Analysis , 1998 .

[22]  Peter Gasson,et al.  IAWA list of microscopic features for hardwood identification : with an appendix on non-anatomical information , 1989 .

[23]  C. Carcaillet,et al.  Wood anatomy of West European Betula: Quantitative descriptions and applications for routine identification in paleoecological studies , 2003 .

[24]  B. Kukachka Sectioning Refractory Woods for Anatomical Studies. , 1977 .

[25]  Luis García Esteban,et al.  Artificial Neural Networks in Wood Identification: The Case of two Juniperus Species from the Canary Islands , 2009 .