Open Access research that uses mathematical models to solve ecological problems...

Solving a variety of ecological and biological problems is the focus of marine population modelling research conducted within the Department of Mathematics & Statistics. Here research deploys mathematical models to better understanding issues relating to fish stock management, ecosystem dynamics, ocean currents, and the effects of multispecies interactions within diverse marine ecosystems.

Research work in marine population modelling interfaces with a number of other key research specialisms, including mathematical biology, epidemiology and statistical informatics, where investigations are improving human understanding of the behaviour of infectious diseases, particularly in relation to animal infections; but also the modelling of complex biological processes such as antibiotic prodcution in actinobacteria.

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Number of items: 2.

2020

Pytharouli, Stella and Chaikalis, Spyros and Stiros, Stathis C. (2020) Reply to comments on "Uncertainty and bias in electronic tide gauge records Evidence from collocated sensors" by Pytharouli S., Chaikalis S. and Stiros S.C., Measurement 125: 496–508, 2018. Measurement: Journal of the International Measurement Confederation, 157. 107658. ISSN 0263-2241

2017

Liu, Xiaoyu and Zhao, Shiping and Qin, Yi and Zhao, Jie and Wan Nawang, Wan Adlan (2017) A parametric study on the accuracy of bending in micro W-bending using Taguchi method. Measurement: Journal of the International Measurement Confederation, 100. pp. 233-242.

This list was generated on Wed Jul 8 00:09:52 2020 BST.

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