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.

Explore some of the Open Access research from Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

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Group by: Publication Date | Item type | No Grouping
Jump to: 2015 | 2011
Number of items: 4.

2015

Macleod, Malcolm R. and McLean, Aaron Lawson and Kyriakopoulou, Aikaterini and Serghiou, Stylianos and de Wilde, Arno and Sherratt, Nicki and Hirst, Theo and Hemblade, Rachel and Bahor, Zsanett and Nunes-Fonseca, Cristina and Potluru, Aparna and Thomson, Andrew and Baginskaite, Julija and Egan, Kieren and Vesterinen, Hanna and Currie, Gillian L. and Churilov, Leonid and Howells, David W. and Sena, Emily S. (2015) Correction : Risk of bias in reports of in vivo research: a focus for improvement. PLOS Biology, 13 (11). e1002301. ISSN 1544-9173

Macleod, Malcolm R. and Lawson McLean, Aaron and Kyriakopoulou, Aikaterini and Serghiou, Stylianos and de Wilde, Arno and Sherratt, Nicki and Hirst, Theo and Hemblade, Rachel and Bahor, Zsanett and Nunes-Fonseca, Cristina and Potluru, Aparna and Thomson, Andrew and Baginskitae, Julija and Egan, Kieren and Vesterinen, Hanna and Currie, Gillian L. and Churilov, Leonid and Howells, David W. and Sena, Emily S. (2015) Risk of bias in reports of in vivo research : a focus for improvement. PLOS Biology, 13 (10). e1002273. ISSN 1544-9173

Webster, Claire L. and Waldron, Fergal M. and Robertson, Shaun and Crowson, Daisy and Ferrari, Giada and Quintana, Juan F. and Brouqui, Jean-Michel and Bayne, Elizabeth H. and Longdon, Ben and Buck, Amy H. and Lazzaro, Brian P. and Akorli, Jewelna and Haddrill, Penelope R. and Obbard, Darren J. (2015) The discovery, distribution, and evolution of viruses associated with Drosophila melanogaster. PLOS Biology, 13 (7). pp. 1-33. ISSN 1544-9173

2011

Neilson, Matthew P. and Veltmahn, Douwe M. and van Haastert, Peter J.M. and Webb, Steven and Mackenzie, John A. and Insall, Robert H. (2011) Chemotaxis : a feedback-based computational model robustly predicts multiple aspects of real cell behaviour. PLOS Biology, 9 (5). e1000618.

This list was generated on Fri Jul 10 21:14:51 2020 BST.