Abstract

Background and Objectives: The origin of traded timber is one of the main questions in the enforcement of regulations to combat the illegal timber trade. Substantial efforts are still needed to develop techniques that can determine the exact geographical provenance of timber and this is vital to counteract the destructive effects of illegal logging, ranging from economical loss to habitat destruction. The potential of chemical fingerprints from pith-to-bark growth rings for individual comparison and geographical provenance determination is explored. Materials and Methods: A wood sliver was sampled per growth ring from four stem disks from four individuals of Pericopsis elata (Democratic Republic of the Congo) and from 14 stem disks from 14 individuals of Terminalia superba (Côte d’Ivoire and Democratic Republic of the Congo). Chemical fingerprints were obtained by analyzing these wood slivers with Direct Analysis in Real Time Time-Of-Flight Mass Spectrometry (DART TOFMS). Results: Individual distinction for both species was achieved but the accuracy was dependent on the dataset size and number of individuals included. As this is still experimental, we can only speak of individual comparison and not individual distinction at this point. The prediction accuracy for the country of origin increases with increasing sample number and a random sample can be placed in the correct country. When a complete disk is removed from the training dataset, its rings (samples) are correctly attributed to the country with an accuracy ranging from 43% to 100%. Relative abundances of ions appear to contribute more to differentiation compared to frequency differences. Conclusions: DART TOFMS shows potential for geographical provenancing but is still experimental for individual distinction; more research is needed to make this an established method. Sampling campaigns should focus on sampling tree cores from pith-to-bark, paving the way towards a chemical fingerprint database for species provenance.

Highlights

  • Wood is one of the most important natural resources and has the advantage that it can be produced in a sustainable way [1]

  • We present here a proof-of-concept study to determine whether random forest analysis with chemical fingerprints from pith-to-bark growth rings by DART TOFMS allow us to distinguish between

  • Each stem disk was from a different individual, belonging to either Pericopsis elata or Terminalia superba (Table 1)

Read more

Summary

Introduction

Wood is one of the most important natural resources and has the advantage that it can be produced in a sustainable way [1]. Illegal timber trading is still the most profitable natural resource crime [2], and wood, being the most important traded wildlife commodity, shows the need for an increased effort to develop and improve wood identification methods for enforcement and supply chain management. This is of main concern for tropical timber, since it is estimated that 30–90% of the volume is harvested illegally [3,4,5]. Relative abundances of ions appear to contribute more to differentiation compared to frequency differences

Results
Discussion
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call