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Control of Epidemics in the aquaculture industry of England and Wales

Summary of the impact

In July 2011, a fish disease simulator developed in the Department of Mathematical Sciences at the University of Liverpool was installed on computers at the Centre for Environment, Fisheries & Aquaculture Science (Cefas), an executive agency of the UK government Department for Environment, Food and Rural Affairs (Defra).

Since this date, the simulator has significantly improved the capability available to Cefas for understanding the likely spread of infectious diseases in the aquaculture industry of England and Wales, and enabled the optimisation of methods for the prevention and control of outbreaks. Specifically, a user-friendly interface enables Cefas to focus on particular diseases of concern, understand their specific pattern of spread and optimise methods for their control. The simulator is currently being used to develop contingency planning for outbreaks.

Submitting Institution

University of Liverpool

Unit of Assessment

Mathematical Sciences

Summary Impact Type

Environmental

Research Subject Area(s)

Agricultural and Veterinary Sciences: Fisheries Sciences

DEPOMOD & AutoDEPOMOD: Models changing aquaculture planning practices in Scotland and worldwide

Summary of the impact

DEPOMOD, and AutoDEPOMOD, are models, developed by Prof. Black's research team, which predict the impact of fish-farm discharges on the seabed in order to optimise the operation of aquaculture sites to match the environmental capacity. Since being adopted by the Scottish Environment Protection Agency, AutoDEPOMOD now forms a compulsory stage in the aquaculture planning consent process in Scotland, and has been used in the development of all presently operational salmon sites in Scotland. DEPOMOD and AutoDEPOMOD software have 122 licences in 25 countries worldwide.

Submitting Institution

University of the Highlands & Islands

Unit of Assessment

Earth Systems and Environmental Sciences

Summary Impact Type

Environmental

Research Subject Area(s)

Biological Sciences: Genetics
Agricultural and Veterinary Sciences: Fisheries Sciences

Endocrine disrupting chemicals in aquatic ecosystems: Impacts on new policies and guidelines, and economic benefits for the UK.

Summary of the impact

Research led by Professor Charles Tyler at the University of Exeter has provided critical data on the widespread adverse oestrogenic effects of endocrine disrupting chemicals in wild fish populations in the UK. This has triggered the UK government to take action through investment in research and development of policies and guidelines. The research has led to world-wide recognition that endocrine disrupting chemicals are an emerging policy issue, a £40 million demonstration project with the UK government and water industry, and multi-million pound benefits to the UK in terms of improved water quality and safeguarding freshwater wildlife.

Submitting Institution

University of Exeter

Unit of Assessment

Earth Systems and Environmental Sciences

Summary Impact Type

Environmental

Research Subject Area(s)

Environmental Sciences: Environmental Science and Management
Biological Sciences: Ecology
Agricultural and Veterinary Sciences: Fisheries Sciences

8 – Twenty-five years of Falkland Islands Fisheries assessment and management resulting in one of the best managed fisheries in the world and license revenue of tens of millions of pounds

Summary of the impact

Between 1987 and 2011, the Fish group at Imperial College London assisted the Falkland Islands Government by providing fisheries management advice as well as delivering seasonal licencing and fee analyses which determined the number and type of fishing licences allocated to commercial vessels operating in Falkland waters. The work of the Fish group had unprecedented economic, commercial and environmental impacts on the Falkland Islands, where between 50% and 75% of the annual revenue required to fund all infrastructure, research and development in the Islands is generated by the £20M income from the sale of commercial fishing licences. In 2006, the Falkland Islands changed from a seasonal fishing licensing system to a rights-based management system of Individual Transferrable Quotas (ITQs) for fishing companies. The move to ITQs, which was recommended by the Fish Group, generated revenue of £9.5 million in 2010 and the system will remain in place until 2031. During a transition period between 2008 and 2011, the Fish Group supported the planned hand-over of licencing and fee responsibilities to the Falkland Island Fisheries Department which continues to use the bio-economic and stock assessment models developed by the Fish Group at Imperial for the sustainable management of marine resources.

Submitting Institution

Imperial College London

Unit of Assessment

Biological Sciences

Summary Impact Type

Environmental

Research Subject Area(s)

Biological Sciences: Ecology
Agricultural and Veterinary Sciences: Fisheries Sciences

Improving fish health and quality using naturally derived products

Summary of the impact

Disease severely limits the expansion of aquaculture. Studies on the immune control of infection have led, in association with industry, to the promotion of disease control utilising 03b2-glucan feed supplements. Knowledge has, via Keele Water, informed infection control strategies used by UK fish farmers. Studies have provided a legacy of young scientists trained by industry and supported by European funding. Advances made have been embraced in the education of veterinarians in Germany and fish production in Eastern Europe. Close collaboration with government bodies and learned societies has ensured that the work has been recognised by policy makers within the fisheries sector.

Submitting Institution

Keele University

Unit of Assessment

Biological Sciences

Summary Impact Type

Technological

Research Subject Area(s)

Biological Sciences: Genetics
Agricultural and Veterinary Sciences: Fisheries Sciences
Medical and Health Sciences: Immunology

Epidemiological models to inform policy for control of emerging plant disease

Summary of the impact

Since 2004, researchers in Cambridge have developed a series of generic and flexible models to predict the spread of plant diseases in agricultural, horticultural and natural environments. These now underpin policy decisions relating to the management and control of a number of such diseases, including sudden oak death and ash dieback in the UK (by Defra and the Forestry Commission), and sudden oak death in the US (by the United States Department of Agriculture). This has subsequently had an impact on how practitioners manage these diseases in the field, and on the environment through the implementation of disease mitigation strategies. In the case of ash dieback, the Cambridge work has also directly contributed to public involvement in mapping the spread of the disease.

Submitting Institution

University of Cambridge

Unit of Assessment

Biological Sciences

Summary Impact Type

Environmental

Research Subject Area(s)

Mathematical Sciences: Statistics
Economics: Applied Economics

Mathematical modelling of livestock infection to inform policy for future epidemics and control of disease outbreaks

Summary of the impact

Mathematical modelling of livestock infections and disease control policies is an important part of planning for future epidemics and informing policy during an outbreak of infectious disease. Researchers in the Mathematics Institute, University of Warwick, are considered to be at the cutting-edge of developing policy-orientated mathematical modelling for a number of livestock infections. Such models have been used to inform government policy for foot-and-mouth disease (FMD) and a range of other infections including bovine tuberculosis (bTB) and bee infections. From 2008, their work with responsible national and international agencies has focused on statistical inference from early outbreak data, formulating models and inferring parameter values for bTB infection spread within and between farms, developing predictive models of FMD outbreaks in the USA, and extending such models to areas where FMD is endemic. This research has helped to shape policy and determined how policy-makers perceive and use predictive models in real-time.

Submitting Institution

University of Warwick

Unit of Assessment

Mathematical Sciences

Summary Impact Type

Environmental

Research Subject Area(s)

Mathematical Sciences: Statistics
Medical and Health Sciences: Clinical Sciences, Public Health and Health Services

Protecting Fish at River Dams and Barrages: New Approaches for Endangered Species

Summary of the impact

Research at the University of Southampton into the behaviour of fish at dams has led to the improved design and positioning of screens to prevent economically important and endangered fish from being killed in turbines, as well as enabling them to pass barriers more successfully through improved fish passes. The research has informed practical changes to river infrastructure in the UK, Sweden, the USA, and China. It also led to development of methodologies for river restoration and planning which have aided the implementation of new conservation legislation, and quantification of the environmental impacts of beaver dams on fisheries.

Submitting Institution

University of Southampton

Unit of Assessment

General Engineering

Summary Impact Type

Environmental

Research Subject Area(s)

Environmental Sciences: Environmental Science and Management
Biological Sciences: Ecology
Agricultural and Veterinary Sciences: Fisheries Sciences

Informing Global Improvements on the Welfare of Fish

Summary of the impact

This research programme has provided convincing evidence that fish perceive pain and has been instrumental in directly informing changes to experimental protocols and influencing welfare guidelines.

We use fish in a variety of ways — for food, farming, experimentation, as public exhibits, in recreational angling and as pets. Many of the procedures that fish are subjected to cause tissue damage that would give rise to the sensation of pain in mammals. This research programme uses techniques in neurobiology, physiology and animal behaviour to discover how the fish are affected by these procedures. This has not only improved the welfare of fish, but also influenced how the public views these animals through media dissemination.

Submitting Institution

University of Chester

Unit of Assessment

Psychology, Psychiatry and Neuroscience

Summary Impact Type

Societal

Research Subject Area(s)

Biological Sciences: Ecology
Medical and Health Sciences: Neurosciences

Improving sustainability of UK salmon farming through replacement of marine fish oil while ensuring nutritional quality is preserved through maintenance of omega-3 levels

Summary of the impact

Omega-3 long-chain polyunsaturated fatty acids (LC-PUFA) are essential nutrients and have many beneficial effects on human health. Fish are the major source of omega-3 LC-PUFA in the human diet, and its level was maintained in farmed fish through the use of fish oil as a major component of extruded aquafeeds. Around 10 years ago it became clear that demand for fish oil would rapidly outstrip supply, limiting expansion of aquaculture activities, if fish oil use was not reduced. The challenge this presented was that alternatives to fish oil lack omega-3 LC-PUFA. However, replacement of fish oil with more sustainable alternatives is now standard practice in the industry. Research into fish oil replacement and omega-3 metabolism in the Nutrition Group, Institute of Aquaculture has been at the forefront of the scientific research in the UK and Europe that has ensured nutritional quality of farmed fish by developing alternative feed ingredients and feeding strategies that have maintained levels of omega-3 LC-PUFA despite radical changes to feed composition driven by sustainability and food security. This work culminated with recent demonstrations that farmed salmon can be net producers of marine protein (2010) and oil (2011).

Submitting Institution

University of Stirling

Unit of Assessment

Agriculture, Veterinary and Food Science

Summary Impact Type

Economic

Research Subject Area(s)

Chemical Sciences: Organic Chemistry
Agricultural and Veterinary Sciences: Animal Production, Fisheries Sciences

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