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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Jump to: 2019 | 2018
Number of items: 3.

2019

Donaldson, Karen M. and Yan, Xiu T. (2019) A first simulation of soil-laser interaction investigation for soil characteristic analysis : simulation of soil-laser interaction investigation. Geoderma, 337. pp. 701-709. ISSN 0016-7061

2018

Yan, Xiu T. and Donaldson, Karen M. and Davidson, Christine M. and Gao, Yichun and Wu, Hanling and Houston, Andrew M. and Kisdi, Aron (2018) Effects of sample pretreatment and particle size on the determination of nitrogen in soil by portable LIBS and potential use on robotic-borne remote Martian and agricultural soil analysis systems. RSC Advances, 8. pp. 36886-36894. ISSN 2046-2069

Yan, Xiu and Bianco, Alessandro and Post, Mark and NIU, Cong and Palazzetti, Roberto and Melville, Craig and Kisdi, Aron and Tubby, Wayne; Yan, Xiu-Tian and Bradley, David and Moore, Philip, eds. (2018) The AgriRover : a mechatronic platform from space robotics for precision farming. In: Reinventing Mechatronics. University of Strathclyde, Glasgow, pp. 112-119. ISBN 978-1-909522-37-4

This list was generated on Wed Jul 15 20:27:55 2020 BST.