Overview of current practices in data analysis for wood identification. A guide for the different timber tracking methods.
Name
GTTN_DataAnalysisGuide.pdf
Description
visibility:open
Size
6.17 MB
Format
Adobe PDF
Checksum (CRC64NVME)
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Resource type
Research report
Creator (person)
Beeckman, Hans
Blanc-Jolivet, Céline
Boeschoten, Laura E
Cabezas, Jose Antonio
Chaix, Gilles
Crameri, Simon
Degen, Bernd
Deklerck, Victor
Dormontt, Eleanor
Espinoza, Edgard
Gasson, Peter
Haag, Volker
Helmling, Stephanie
Horacek, Micha
Koch, Gerald
Lens, Frederic
Lowe, Andrew
Martínez-Jarquín, Sandra
Nowakowska, Justyna Anna
Olbrich, Andrea
Pastore, Tereza Cristina Monteiro
Rees, Gareth
Soares, Liz F.
Tysklind, Niklas
Vlam, Mart
Watkinson, Charlie
Wheeler, Elisabeth
Winkler, Robert
Wiedenhoeft, Alex Charles
Zemke, Valentina Theresia
Zuidema, Pieter A
Brusselen, Jo Van
Bolanos, Jose
Schmitz, Nele
Date published
2020
Abstract
Today we have five types of timber tracking tools available. Each has its own strengths and limitations (see the Timber Tracking Tool Infogram), but together they offer a broad range of methods that can assist us in identifying the botanical as well as the geographic origin (provenance) of most kinds of timber samples, even those smaller than 1 cm³. With this guide we want to provide an overview of the current best-practice methods used to analyse data derived from different wood identification methods, while presenting their respective strengths and limitations. We give advice on data analysis, from the development of reference data, through to the verification of identity and provenance of unknown samples against the reference database. We end with an expert view on combining methods for wood identification and discuss how timber identification possibilities could expand in the future.
Rights statement
In Copyright