Publications

2019

Deklerck, Mortier et al. (2019). A protocol for automated timber species identification using metabolome profiling. Wood Science and Technology. https://link.springer.com/article/10.1007/s00226-019-01111-1

Deklerck, De Mil et al. (2019). Sleeping beauties in materials science: unlocking the value of xylarium specimens in the search for timbers of the future. Holzforschung. https://doi.org/10.1515/hf-2018-0269

De Mil et al. (2019). Asynchronous leaf and cambial phenology in a tree species of the Congo Basin requires space–time conversion of wood traits. Annals of Botany. https://doi.org/10.1093/aob/mcz069

Deklerck, De Mil et al. (2019). Rate of forest recovery after fire exclusion on anthropogenic savannas in the Democratic Republic of Congo. Biological Conservation, 233. https://doi.org/10.1016/j.biocon.2019.02.027

Hubau, De Mil et al. (2019). The Persistence of Carbon in the African Forest Understory. Nature Plants, https://doi.org/10.1038/s41477-018-0316-5

De Mil, Tarelkin et al. (2019). Wood Density Profiles and Their Corresponding Tissue Fractions in Tropical Angiosperm Trees. Forests, 9(12): 763. https://doi.org/10.3390/f9120763

2018

Vanden Abeele et al. (2018). Isolation of microsatellite loci in the African tree species Staudtia kamerunensis (Myristicaceae) using high-throughput sequencing. Molecular Biology Reports, 45: 1539-1544. https://doi.org/10.1007/s11033-018-4239-z

2017

Deklerck et al. (2017). Comparison of species classification models of mass spectrometry data: Kernel Discriminant Analysis vs Random Forest; A case study of Afrormosia (Pericopsis elata (Harms) Meeuwen). Rapid Communications in Mass Spectrometry, 31: 1582-1588. https://onlinelibrary.wiley.com/doi/full/10.1002/rcm.7939