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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Jump to: 2014 | 2013

Number of items: 2.

2014

Bayer, Patrick and Marcoux, Christopher and Urpelainen, Johannes (2014) Choosing international organizations : when do states and the World Bank collaborate on environmental projects? Review of International Organizations, 9 (4). pp. 413-440. ISSN 1559-7431

2013

Bayer, Patrick and Urpelainen, Johannes (2013) External sources of clean technology : evidence from the Clean Development Mechanism. Review of International Organizations, 8 (1). pp. 81-109. ISSN 1559-7431

This list was generated on Sun Jul 12 11:12:24 2020 BST.

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