5.16.00 - Wood identification


New curated reference database with interlinked wood and herbarium specimens

A new article “When xylarium and herbarium meet: linking Tervuren xylarium wood samples with their herbarium specimens at Meise Botanic Garden” authored by Samuel Vanden Abeele, Hans Beeckman, Tom De Mil, Cecile De Troyer, Victor Deklerck, Henry Engledow, Wannes Hubau, Piet Stoffelen and Steven B. Janssens was recently published in Biodiversity Data Journal.

The new data paper interlinks the African plant collections of the Royal Museum for Central Africa Xylarium (Tw, Belgium) and the Meise Botanic Garden Herbarium (BR, Belgium). By interlinking both collections, the authors strengthened the reference value of each institutional collection, as more complete metadata were made available, and they enabled an increased quality control for the identification of wood specimens. Furthermore, the renewed connection facilitates the linking of available wood trait data with data on phenology, leaf morphology or even molecular information for many tree species, allowing assessments of performance of individual trees. In addition, the linked collections hold historical reference data and specimens that can be studied in the context of global changes.

The article and the dataset are available at: https://bdj.pensoft.net/article/62329/


newly published article on amazon wood species classification

A new article “Amazon wood species classification: a comparison between deep learning and pre-designed features” authored by André R. de Geus, André R. Backes, Alexandre B. Gontijo, Giovanna H. Q. Albuquerque, Jefferson R. Souza was published on Wood Science and Technology in March 2021.

The authors introduced a new wood dataset by a simplified image acquisition process and developed four deep learning models with transfer learning compared with traditional pre-designed feature method. The results showed that deep learning outperforms pre-design features for wood classification, indicating that it could be applied to assist untrained agents in wood classification.

This article is available by visiting: https://rdcu.be/chc0A


Identification of mahogany wood veneer using portable NIRS

Tereza Pastore and her team published an article "Identification of mahogany sliced veneer using handheld near-infrared spectroscopy device and multivariate data analysis" on IAWA Journal recently. 

It is a pioneering study that allows identifying two native forest species listed in the CITES and three similar species. The PLS-DA (Partial Least Squares for Discriminant Analysis) models showed 96.5-100% accuracy in the samples’ discrimination among the five species. It is concluded that the portable NIRS (Near-infrared Spectroscopy) and the PLS-DA were suitable for the rapid identification and discrimination of the wood veneers.

For more details, please visit: https://brill.com/view/journals/iawa/aop/issue.xml


Field Identification Manual for Ghanaian Timbers

Field Identification Manual for Ghanaian Timbers edited by R Arévalo, E Ebanyenle, A Ebeheakey, K Bonsu, O Lambog, R Soares and A Wiedenhoeft was published in 2020. It is one outcome of the Improving Sustainable Value Chains for Exports from Ghana program sponsored by the United Nations Industrial Development Organization (UNIDO). 

This manual provides a field reference suitable for timber inspectors to conduct routine field screening of more than 100 common commercial timber species from Ghana, using macroscopic and physical identification features. 

Further details will be available by visiting https://www.fs.usda.gov/treesearch/pubs/60264


New Postdoc Position in Wood Identification

The US Forest Service Wood Identification & Screening Center (WISC) at Oregon State University invites applications for postdoctoral fellowships in stable isotope and botanical provenacing for a two-year, fully funded, position in Corvallis, OR. The main goal of WISC is to support enforcement of the U.S. Lacey Act and Endangered Species Act with respect to the timber trade. Apply for this position by sending all application materials to Kristen Finch (Kristen.finch@oregonstate.edu) by April 1, 2021. Interested applicants should submit: (a) a curriculum vita with a list of publications, (b) the names of at least three professional references, their e-mail addresses, and telephone contact numbers and (c) a cover letter or email describing their interests and experiences in the topic area, goals, and how they meet the required position qualifications outlined below. Please see full posting at: https://bit.ly/2NyuCLm 

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