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To survey and characterise the occurrence of biogenic reefs of cold-water corals in the Minch: • Conduct side scan sonar survey of ridge feature east of Mingulay. • Ground-truth the sonar results with targeted camera / ROV deployments. • Repeat this survey at other locations to examine how widespread this habitat may be in the Minch. • Sample live coral and rubble zones with minimally invasive video-directed grab sampling. • Report on findings and present summary data in a GIS compatible format (ArcView).
The effects of climate change in a dynamic competitive interaction between two or more species can be bought about either as direct responses of species to change or indirectly through effects on competing species. Intertidal barnacles are ideal model organisms to test these alternative causal mechanisms, being easily censussed and directly competing for space. Single- and multi- species models will be developed for barnacles in SW England to determine whether direct or indirect mechanisms better predict responses to change. The models will include functions for space-limitation, environmental influence and, in the latter models, functions for interspecific competition. Historical data from a network of sites collected over a 40-year period will be used to develop and test the models.
Although the most visible effect of fish cage aquaculture is the output of particulate organic waste, 80% of the total nutrient losses from fish farming are plant-available as potentially eutrophicating substances. This project will assess the ability of commercially important seaweeds, cultivated in the immediate vicinity of caged fish, to reduce the impact of such nutrient releases. The algae cultivated in high nutrient sites will be tested as a food source for humans and for cultivated shellfish, and a model of the distribution of dissolved contaminants from sea-cage fish farms will be developed to predict the impact of introducing algal cultivation at any site.
1. To compare temporal influences of environmental variables (e.g. depth temperature, contaiminats) on species and families 2. To corroborate inferences made from the previous two datasets. We hope to determine whether temperature is still the most important variable influencing the macrofauna 3. To analyse between temporal and spatial trends to determine whether there has been any significant change in the benthic community structure, especially at stations near past exploration activity 4. To compare results with those from the South of the Faroe Islands being collated by Daniel Jacobsen of the University of Copenhagen.
1. To generate high-resolution quantitative palaeoceanographic/palaeoclimatic data from NE Atlantic coastal/shelf sites for the last 2000 years using a multidisciplinary approach 2. To develop novel palaeoclimatic tools for shallow marine settings by (i) calibrating the proxy data against instrumental datasets, (ii) contributing to transfer function development, and (iii) then to extrapolate back beyond the timescale of the instrumental data using the palaeoclimate record 3. To investigate the link between late Holocene climate variability detected in the shelf/coastal regions of western Europe and the variability of the oceanic heat flux associated with the North Atlantic thermohaline circulation, and to compare such variability with existing high-resolution terrestrial proxies to help determine forcing mechanisms behind such climate change 4. To lay a foundation for the identification of hazards and resources linked with, or forced by, such climate change.
1. To use a combination of archival and contemporary data to develop and test hypotheses on the impact of climatic change on rocky intertidal animals and plants. 2. Forecast future community changes based on Met. Office Hadley centre models and UKCIP models. 3. Establish a low-cost fit-for-purpose network to enable regular updates of climatic impact projections. 4. Assess and report likely consequences of predicted changes on coastal ecosystems. To provide general contextual time-series data to support marine management and monitoring. 5. Evaluate use of intertidal indicator species as sustainability indices. Disseminate the results as widely as possible. 6. Provide a basis for the development of a pan-European monitoring network.
1. Observations of the physics of vertical and open boundary exchange in Regions of Restricted Exchanges (REEs), leading to improved parameterisation of these processes in research and simplified models. 2. Study of the phytoplankton and pelagic micro-heterotrophs responsible for production and decomposition of organic material, and of sedimentation, benthic processes and benthic-pelagic coupling, in RREs, with the results expressed as basin-scale parameters. 3. Construction of closed budgets and coupled physical-biological research models for nutrient (especially nitrogen) and organic carbon cycling in RREs, allowing tests of hypotheses about biogeochemistry, water quality and the balance of organisms. 4. Construction of simplified 'screening' models for the definition, assessment and prediction of eutrophication, involving collaboration with 'end-users', and the use of these models to analyse the costs and benefits of amelioration scenarios.
1. The improvement of the scientific basis for the management of fisheries taking elasmobranch species by: a)Species Identification /biological sampling b)Stock discrimination / separation c)Data compliation and exchange d)Data preparation, stock assessment & species vulnerability
The project aims to develop Molecular Imprinted Polymer (MIP)sensors into practical tools for the monitoring of a number of pollutants listed in the EU Water Framework Directive. (Further details in commercial confidence)
1. To develop a deep water observation system 2. Detailed design document, workplan and risk register and reviewed and agreed by steering group, procurement of components. 3. Deep water tests of acoustic communications system performed. pilot data dissemination and archival system. Dry test DWOS -1 4. Deployment in near lab test environment eg. Dunstaffnage bay with regular inspections. Collect, analyse, disseminate and archive sensor and house keeping data 5. Deploy in exposed but coastal stratified site in western Irish Sea, with two visual inspections. Collect, analyse, disseminate and archive sensor and house keeping data. Liaison with Met Office regarding deployment logistics. 6. Six months Deployment at Deep Water site; Collect, analyse, disseminate and archive sensor and house keeping data; Distribute data to customers. Revisit mooring site after six months recover and redeploy. 7. Final Technical Report and Final Project Report: Second six months Deployment at Deep Water site (as decreed by steering group); Collect, analyse, disseminate and archive sensor and house keeping data. Analysis of complete data handling chain performed; impact of data on customer base assessed, recommendations for continuance of DWOS as an operational system.