1)

Title: Modelling the dynamics of expenditure on recreational access to marine 
services

Supervisors: Prof. Michael Heath, University of Strathclyde; Sam Anson, Marine 
Scotland Science; Dr Kieran Hyder, CEFAS Lowestoft; Dr Paul Tett, Scottish 
Association for Marine Science
Eligibility: EU/UK fees and stipend fully funded. Applicants liable for 
international fees may apply but will be required to contribute to the fees.
Duration: 3.5 years

For information,  contact Prof. Michael Heath: [email protected] 
<mailto:[email protected]>
Apply online: http://www.strath.ac.uk/admissions/postgraduateresearch/
Closing date: 25 July 2014

Start date: 1st October 2014

Abstract: The project is concerned with evaluating the commercial opportunities 
that arise from societal interest in recreational uses of the marine 
environment, and the dynamics of how these may change in response to 
Environmental Status. These changes affect the sustainability of interactions 
between commercial activities  servicing the recreational demand, and those 
directly exploiting the living resources (traditional fisheries), or physical 
resources (e.g. renewable energy).  The research will be carried out by 
statistical analysis and modelling of existing national census and survey 
databases on public expenditure and recreation, and potentially by gathering 
new data using interview and questionnaire methods.

The successful applicant will need to hold a 1st class or upper 2nd  class 
graduate qualifications in statistics, and have evidence of skills in data 
handling and programming, preferably in the R statistical environment. 
Secondarily, evidence of experience in economics, social science, geography, or 
marine policy areas will also be viewed positively. The project is jointly 
funded by the Marine Alliance for Science and Technology (MASTS) and the 
University of Strathclyde, with supervisory involvement from Marine Scotland, 
Defra, SNH and the Scottish Association for Marine Science. The student will be 
based in the Marine Modelling group in the Department of Mathematics  and 
Statistics at the University of Strathclyde, and be a member of the MASTS 
Graduate School.

Skills needed: First and foremost, the successful applicant will need to hold 
1st class or upper 2nd  class graduate qualifications in statistics, and have 
evidence of skills in data handling and programming, preferably in the R 
statistical environment. Secondarily, evidence of experience in economics, 
social science, geography, or marine policy areas will also be viewed 
positively.

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2)

Title: Norway lobster and Hematodinium sp. in the Clyde: modelling the 
population dynamics of a commercial

Supervisors: Dr Douglas C. Speirs, University of Strathclyde; Prof Douglas 
Neil, University of Glasgow; Dr Helen Dobby, Marine Scotland Science
Eligibility: EU/UK fees and stipend fully funded. Applicants liable for 
international fees may apply but will be required to contribute to the fees.
Duration: 3.5 years

Further Information:  Douglas C. Speirs: [email protected] 
<mailto:[email protected]>
Apply online: http://www.strath.ac.uk/admissions/postgraduateresearch/
Closing date: 25 July 2014

Start date:1st October 2014

Abstract: Norway lobster (Nephrops norvegicus) is a species of high commercial 
value, with first-sale landed values from the Scottish catch in the region of 
£80 million annually. Along with many decapod species Nephrops is subject to 
infection by the parasitic dinoflagellate Hematodinium sp. The parasite 
colonises the host haemolymph causing behavioural changes such as a reduced 
tail-flip response, visible accumulation of haemocyte and parasite cells in the 
pleopods and changes in cuticle colour, and eventually death. It causes a major 
source of lost revenue to decamped fisheries worldwide. The Clyde Sea contains 
an important Nephrops fishery with a high prevalence of infection that appears 
to fluctuate both seasonally and inter-annually. This PhD project will focus on 
developing a series of length-structured models to describe the population 
dynamics of this complex host-parasite system. The models will be validated 
using historical data on stock abundance, landings, parasite prevalence. The 
various models will be used to establish yield curves and maximum sustainable 
yields for Nephrops under different management and climate change (temperature) 
scenarios. A spatial population model will be developed, driven by 
high-resolution flow fields, to explore the role of spatial connectivity 
between areas of suitable benthic habitat.

The successful applicant will hold a 1st / upper 2nd class degree, or 
equivalent, in mathematics, statistics, or similar quantitative discipline, and 
have evidence of skills in data handling and programming, preferably in the R 
statistical environment. Evidence of experience in ecological theory and 
modelling will also be viewed positively.

The project is co-funded by Marine Scotland acting through the Marine Alliance 
for Science and Technology (MASTS) pooling scheme. The student will be based in 
the Marine Modelling group in the Department of Mathematics and Statistics at 
the University of Strathclyde, and be a member of the MASTS Graduate School.

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