Concluded Projects
Ms. Rosoarivelo’s study identifies how spatial and climatic factors jointly influence early Eucalyptus seedling mortality, emphasising the role of species-specific tolerances in successful site selection and plantation establishment.
Mr. Laubscher-Pretorius applies machine learning to optimise Eucalyptus species selection across environmental gradients in KwaZulu-Natal and Mpumalanga. His work integrates environmental variables and historical performance data to improve genotype–site matching and develop predictive tools for more efficient plantation management.
Development of a low-cost, printed electronic nose (e-nose) to accurately detect salt-induced stress in Eucalyptus trees by optimizing sensor design and validating VOC-based stress detection.
This project was undertaken as a “mini-thesis” under the supervision of Prof. Petrie Meyer as fulfilment of the B.Eng. requirements. This project investigated if a Laser Doppler Vibrometer (LDV) can be used to measure the vibrations of a eucalypt to detect cavitations in the xylem vessels.
The aims of this research were to (1) partly parameterise and initialise and (2) test the CABALA process-based model for hybrid Eucalyptus grandis x Eucalyptus urophylla clones in the Zululand region of South Africa.
This project considered the potential impact of climate change on both yield and production risk of eucalypts. The aim of this study was to project future mean annual temperature (MAT), mean annual precipitation (MAP), species site suitability.
This study explored drought responses of two eucalypt hybrids (Eucalyptus grandis x Eucalyptus longirostrata (EGL) and Corymbia henryi x Corymbia torelliana (CHT)) with contrasting water use strategies, to identify how key leaf-level functional traits.
Considering that wood is an incredibly valuable source of renewable biomaterial and biofuel products, it is essential that we understand how the underlying mechanisms that drive wood formation function.
Alta joined EucXylo for her Ph.D after working in the agricultural sector for two years. Her interest in using models to explain plant responses to environmental changes and how these models can be implemented, led her to EucXylo.
Knowledge of the process by which the cambium produces wood has progressed very slowly and this knowledge gap is largely due to difficulties in visualising the 3D organisation of the cambium and the lack of non-destructive methods with sufficient resolution.
The EuXBrain project is a knowledge graph–based tool developed to support research in Eucalyptus wood formation and ecophysiology. It enables researchers to integrate and explore concepts, datasets, and computational models across multiple biological scales, from cellular processes driving xylogenesis to empirical models of whole-tree growth under varying environmental conditions.
Refining InTreeG, which is a statistical individual tree, spacial, stand growth model.
