The Hans Merensky Chair in Advanced Modelling of Eucalypt Wood Formation
Understanding xylogenesis in the world's most widely planted hardwood species
Publications
A number of publications and theses have been published, with more to come!
See below for a list of publications and theses from our group:
Published papers:
- Drew, D.M., Downes, G.M., Seifert, T., Eckes-Shepard, A., Achim, A. (2022). A review of progress and applications in wood quality modelling. Current Forestry Reports, 8, 317-332. https://link.springer.com/content/pdf/10.1007/s40725-022-00171-0.pdf?pdf=button.
- Eckes-Shephard, A. H., Ljungqvist, F. C., Drew, D. M., Rathgeber, C. B., Friend, A. D. (2022). Wood formation modelling–a research review and future perspectives. Frontiers in Plant Science, 13, 1-21. https://doi.org/10.3389/fpls.2022.837648.
- Drew, D.M. (2021). Exploring new frontiers in forecasting forest growth, yield and wood property variation. Annals of Forest Science, 78, 29-30. https://link.springer.com/content/pdf/10.1007/s13595-021-01054-3.pdf.
- Gakenou, O., Martin, K., Germishuizen, I., Drew, D.M. (2023). Parameter testing and application of the 3PG model for Eucalyptus grandis x urophylla in subtropical conditions in South Africa. CERNE. (In Press).
- Keret, R., Hills, P., Drew, D.M. (2023). The evolution of in vitro tracheary element systems from annual to perennial plant species. Plant Cell, Tissue and Organ Culture (PCTOC). The evolution of in vitro tracheary element systems from annual to perennial plant species | SpringerLink.
- Mandigora, B.G., Drew, D.M. (2022). Enhancing predictive precision of dominant height projection equations for eucalypts by incorporating rainfall and temperature terms. Southern Forests, 84, 271-282. Enhancing predictive precision of dominant height projection equations for eucalypts by incorporating (tandfonline.com).
- Saunders, A., Drew, D.M. (2022). Measurements done on excised stems indicate that hydraulic recovery can be an important strategy used by Eucalyptus hybrids in response to drought. Trees, 36, 139-151. https://link.springer.com/content/pdf/10.1007/s00468-021-02188-7.pdf.
- Saunders, A., Drew, D.M. (2022). Stomatal responses of Eucalyptus spp. under drought can be predicted with a gain-risk optimization model. Tree Physiology, 42, 815-830. https://doi.org/10.1093/treephys/tpab145.
- Saunders, A., Drew, D.M., Brink, W. (2021). Machine learning models perform better than traditional empirical models for stomatal conductance when applied to multiple tree species across different forest biomes. Trees, Forests and People, 13, 1-12. https://doi.org/10.1016/j.tfp.2021.100139.
- Schoeman, L., Drew, D.M. (2023). Advanced imaging and quantification of the cambium and developing xylem in eucalypts using X-ray micro- and nano-computed tomography. IAWA Journal. https://doi.org/10.1163/22941932-bja10135.
Theses:
- Tonkin, C. (2023). M.Sc. thesis. Carbon allocation and biomass accumulation within eucalypt clones with contrasting water use strategies. content (sun.ac.za).
- Gakenou, O. (2021). M.Sc. thesis. Parameter testing and application of the 3PG model for Eucalyptus grandis x urophylla on the Zululand coastal plain, South Africa. http://hdl.handle.net/10019.1/124237.
- Saunders, A. (2021). Ph.D. dissertation. Investigating the photosynthetic and hydraulic trade-off during drought recovery in eucalypts. https://scholar.sun.ac.za/handle/10019.1/124576.
- Mfuni, T. (2021). M.Sc. thesis. Assessing forest yield and site suitability for Eucalyptus grandis x E. urophylla in coastal Zululand, South Africa, under climate change scenarios. https://scholar.sun.ac.za/handle/10019.1/124841.
- Mhlabane, F.S., Hale, N., De Villiers, A. (2020). M.Sc. project project. A mathematical model of wood growth. Submitted in partial fulfillment of a structured Master’s degree at African Institute for Mathematical Sciences (AIMS) South Africa. https://drive.google.com/file/d/1cZEpoyTv02QVA5rMLr_57QjXrO_e0NNu/view.
- Sibiya, G. (2020). M.Sc. thesis. Predicting growth and future yield in Eucalyptus grandis x urophylla stands using the CABALA process-based model. Submitted in partial fulfillment of an M.Sc. (Forest Science) at Stellenbosch University. http://hdl.handle.net/10019.1/110324