Candidates are expected to hold a minimum upper second class honours degree (or equivalent) in plant science and agriculture with good mathematical knowledge. Candidates with experience in numerical simulation and programming are encouraged to apply.
This project has a Band 1 fee. Details of our different fee bands can be found on our website (View Website). For information on how to apply for this project, please visit the Faculty of Biology, Medicine and Health Doctoral Academy website (View Website).
Informal enquiries may be made directly to the primary supervisor.
1) Liu X, Burslem DFRP, Taylor JD, Taylor AFS, Khoo E, Majalap-Lee N, Helgason T, Johnson D (2018) Partitioning of soil phosphorus among arbuscular and ectomycorrhizal trees in tropical and subtropical forests. Ecology Letters 21, 713-723.
2) Meharg C, Khan B, Norton G, Deacon C, Johnson D, Reinhardt R, Huettel B & Meharg AA (2014) Trait-directed de novo population transcriptome dissects genetic regulation of a balanced polymorphism in phosphorus nutrition/arsenate tolerance in a wild grass, Holcus lanatus L. New Phytologist 201, 144-154. doi: 10.1111/nph.12491
3) Fierer N, Leff J, Bardgett RD, Wilkinson A, Jackson B, Pritchard W, DeLong J, Oakley S, Mason K, Ostle N, Johnson D, Baggs EM (2018) Predicting the structure of soil communities from plant community taxonomy, phylogeny, and traits. ISME J 12, 1794-1805.
4) Betts, R.A., Cox, P.M., Lee, S.E. & Woodward, F.I. 1997. Contrasting physiological and structural vegetation feedbacks in climate change simulations. Nature, 387, 796–799.
5) Magnone D, Niasar VJ, Bowmann L, van der Zee, S, Sattari Z (2018) Soil chemistry aspects of predicting future phosphorus requirements in Sub-Saharan Africa, Journal of Advances in Modeling Earth Systems, minor revision.