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...

Browse by Author or creator

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Publication Date | Item type | No Grouping
Jump to: 2015 | 2012 | 2011
Number of items: 3.

2015

Tobe, Shanan S. and Dennany, Lynn and Vennemann, Marielle (2015) An assessment of the subjectivity of sperm scoring. Forensic Science International, 251. pp. 83-86. ISSN 0379-0738

2012

Busby, G. B. J. and Brisighelli, F. and Sanchez-Diz, P. and Ramos-Luis, E. and Martinez-Cadenas, C. and Thomas, M. G. and Bradley, D. G. and Gusmao, L. and Winney, B. and Bodmer, W. and Vennemann, Marielle (2012) The peopling of Europe and the cautionary tale of Y chromosome lineage R-M269. Proceedings- Royal Society of London B, 279. pp. 884-892. ISSN 0962-8452

2011

Koppelkamm, A. and Vennemann, B. and Lutz-Bonengel, S. and Fracasso, T. and Vennemann, M. (2011) RNA integrity in post-mortem samples : influencing parameters and implications on RT-qPCR assays. International Journal of Legal Medicine, 125 (4). pp. 573-580. ISSN 0937-9827

This list was generated on Mon Jul 13 10:18:22 2020 BST.