Picture of fish in sea

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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Group by: Publication Date | Item type | No Grouping
Jump to: 2019 | 2017
Number of items: 4.

2019

Ward, Martin R. and Oswald, Iain D. H. (2019) Antisolvent addition at extreme conditions. CrystEngComm, 21 (30). pp. 4437-4443. ISSN 1466-8033

Ward, Martin R. and Younis, Shatha and Cruz-Cabeza, Aurora J. and Bull, Craig L. and Funnell, Nicholas P. and Oswald, Iain D. H. (2019) Discovery and recovery of delta p-aminobenzoic acid. CrystEngComm, 21 (13). pp. 2058-2066. ISSN 1466-8033

Cruz-Cabeza, Aurora J. and Davey, Roger J. and Oswald, Iain D.H. and Ward, Martin R. and Sugden, Isaac J. (2019) Polymorphism in p-aminobenzoic acid. CrystEngComm, 21 (13). pp. 2034-2042. ISSN 1466-8033

2017

Liu, Yao and Ward, Martin R. and Alexander, Andrew J. (2017) Polarization independence of laser-induced nucleation in supersaturated aqueous urea solutions. Physical Chemistry Chemical Physics, 19 (5). pp. 3464-3467. ISSN 1463-9076

This list was generated on Thu Jul 9 10:18:56 2020 BST.