Tom De Mil1, Astrid Vannoppen2, Hans Beeckman3, Joris Van Acker4, Jan Van den Bulcke4. 1. UGCT-Woodlab-UGent, Ghent University, Laboratory of Wood Technology, Department of Forest and Water Management, Coupure Links 653, B- 9000 Gent, Belgium Royal Museum for Central Africa, Wood Biology Service, Leuvensesteenweg 13, B-3080 Tervuren, Belgium tom.demil@ugent.be. 2. University of Leuven, Division Forest, Nature and Landscape, Department of Earth and Environmental Sciences, Celestijnenlaan 200E, Box 2411, B-3001 Leuven, Belgium. 3. Royal Museum for Central Africa, Wood Biology Service, Leuvensesteenweg 13, B-3080 Tervuren, Belgium. 4. UGCT-Woodlab-UGent, Ghent University, Laboratory of Wood Technology, Department of Forest and Water Management, Coupure Links 653, B- 9000 Gent, Belgium.
Abstract
BACKGROUND AND AIMS: Disentangling tree growth requires more than ring width data only. Densitometry is considered a valuable proxy, yet laborious wood sample preparation and lack of dedicated software limit the widespread use of density profiling for tree ring analysis. An X-ray computed tomography-based toolchain of tree increment cores is presented, which results in profile data sets suitable for visual exploration as well as density-based pattern matching. METHODS: Two temperate (Quercus petraea, Fagus sylvatica) and one tropical species (Terminalia superba) were used for density profiling using an X-ray computed tomography facility with custom-made sample holders and dedicated processing software. KEY RESULTS: Density-based pattern matching is developed and able to detect anomalies in ring series that can be corrected via interactive software. CONCLUSIONS: A digital workflow allows generation of structure-corrected profiles of large sets of cores in a short time span that provide sufficient intra-annual density information for tree ring analysis. Furthermore, visual exploration of such data sets is of high value. The dated profiles can be used for high-resolution chronologies and also offer opportunities for fast screening of lesser studied tropical tree species.
BACKGROUND AND AIMS: Disentangling tree growth requires more than ring width data only. Densitometry is considered a valuable proxy, yet laborious wood sample preparation and lack of dedicated software limit the widespread use of density profiling for tree ring analysis. An X-ray computed tomography-based toolchain of tree increment cores is presented, which results in profile data sets suitable for visual exploration as well as density-based pattern matching. METHODS: Two temperate (Quercus petraea, Fagus sylvatica) and one tropical species (Terminalia superba) were used for density profiling using an X-ray computed tomography facility with custom-made sample holders and dedicated processing software. KEY RESULTS: Density-based pattern matching is developed and able to detect anomalies in ring series that can be corrected via interactive software. CONCLUSIONS: A digital workflow allows generation of structure-corrected profiles of large sets of cores in a short time span that provide sufficient intra-annual density information for tree ring analysis. Furthermore, visual exploration of such data sets is of high value. The dated profiles can be used for high-resolution chronologies and also offer opportunities for fast screening of lesser studied tropical tree species.
Authors: Maaike De Ridder; Jan Van den Bulcke; Dries Vansteenkiste; Denis Van Loo; Manuel Dierick; Bert Masschaele; Yoni De Witte; David Mannes; Eberhard Lehmann; Hans Beeckman; Luc Van Hoorebeke; Joris Van Acker Journal: Ann Bot Date: 2010-12-03 Impact factor: 4.357
Authors: Simon L Lewis; Gabriela Lopez-Gonzalez; Bonaventure Sonké; Kofi Affum-Baffoe; Timothy R Baker; Lucas O Ojo; Oliver L Phillips; Jan M Reitsma; Lee White; James A Comiskey; Marie-Noël Djuikouo K; Corneille E N Ewango; Ted R Feldpausch; Alan C Hamilton; Manuel Gloor; Terese Hart; Annette Hladik; Jon Lloyd; Jon C Lovett; Jean-Remy Makana; Yadvinder Malhi; Frank M Mbago; Henry J Ndangalasi; Julie Peacock; Kelvin S-H Peh; Douglas Sheil; Terry Sunderland; Michael D Swaine; James Taplin; David Taylor; Sean C Thomas; Raymond Votere; Hannsjörg Wöll Journal: Nature Date: 2009-02-19 Impact factor: 49.962
Authors: Paolo Cherubini; Turi Humbel; Hans Beeckman; Holger Gärtner; David Mannes; Charlotte Pearson; Werner Schoch; Roberto Tognetti; Simcha Lev-Yadun Journal: PLoS One Date: 2013-01-28 Impact factor: 3.240
Authors: Tom De Mil; Wannes Hubau; Bhély Angoboy Ilondea; Mirvia Angela Rocha Vargas; Pascal Boeckx; Kathy Steppe; Joris Van Acker; Hans Beeckman; Jan Van den Bulcke Journal: Ann Bot Date: 2019-09-24 Impact factor: 4.357
Authors: Jan Van den Bulcke; Marijn A Boone; Jelle Dhaene; Denis Van Loo; Luc Van Hoorebeke; Matthieu N Boone; Francis Wyffels; Hans Beeckman; Joris Van Acker; Tom De Mil Journal: Ann Bot Date: 2019-11-15 Impact factor: 4.357