Acronym SALMODIS
Category
Aquaculture
Title Sustainable disease control strategies in salmon farming; decision support integrating economic, environmental and social dimensions Programme National Programme
Instrument (FP6)
Contact Type (FP7)
Strand (Interreg)
NA
Theme (FP7)
Activity Area (FP6)
Regional Area (Interreg)
Action (COST)
NA
Specific Programme (FP7)
NA
Funding source National Coordinator Hans Vanhauwaert Bjelland Coordinator email hans.bjelland@sintef.no
Coordinator institution
SINTEF-SFH - SINTEF Fisheries and Aquaculture (Norway)
Institutions involved
NA - Lerøy Norway Seafoods AS (Norway) ,
NA - MOWI ASA (Norway) ,
NINA - Norwegian Institute for Nature Research (Norway) ,
NVH - Norwegian School of Veterinary Science (Norway) ,
NMBU - Norwegian University of Life Sciences (Norway) ,
SINTEF-SFH - SINTEF Fisheries and Aquaculture (Norway) ,
NA - SINTEF Ocean (Norway) ,
UPEI - University of Prince Edward Island (Canada) ,
NA - University of Strathclyde (United Kingdom) ,
Start year 2011 End year 2013 Funding (€) € 1,445,073 Website https://www.fhf.no/prosjekter/prosjektbasen/900590/ Summary The objective of the SALMODIS research project is to improve the scientific basis for decision-making related to regulations and intervention strategies for disease control in the salmon farming industry. It will support government and industry in evaluating constraints and cost-effectiveness of strategies with regard to their effects on economic, environmental and social dimensions. Fish diseases present short- and long-term challenges to the sustainability of the aquaculture industry and the community as a whole. Sea lice alone cost the global industry 300 million EUR per year. In addition to these economic influences, diseases, directly or indirectly, affect ecological and social sustainability issues. Authorities, industry, and other stakeholders acknowledge the urgent need to address diseases through more proactive and coordinated control strategies.The SALMODIS-project is based on a broad and existing platform of knowledge, integrating research partners as well as major industry actors, covering social sciences, epidemiology, biology, economics, and enabling technologies to address the problem from a holistic, long-term perspective. The project requires a novel and thorough integration, which will be organised in three work packages that contribute toward the unification of sustainability dimensions and stakeholder interests with knowledge domains and models. WP 1 will develop methods to evaluate cost-effectiveness and trade-offs with respect to the impacts of disease control. WP 2 deals with the aspects of model integration and coordination required to use models from multiple domains. Two historic disease cases, covering sea lice and Pancreas Disease, will be explored. WP 3 focuses on combining results from WP1 and WP2 into decision support tools addressing a strategic level, enabling forecasts and scenario evaluation.The SALMODIS-project will result in significant contributions towards a future-oriented knowledge based management of salmon farming.
Goals:
To address the following research questions:
• What are the constraints and options for sustainable disease control in salmon farming?
• Which disease control strategies are the most cost-effective in the short- and long-term, with regard to their impacts on disease epidemiology, economics, environment and social sustainability?
• To what extent can integrated models of disease control be leveraged to support both short- and long-term sustainable decision making for the aquaculture sector based on production, economic, environmental, and social dimensions to enhance sustainability in the sector?
In Norwegian:
To improve the decision-making basis for regulatory and intervention strategies for disease control in salmon farming.
Sub-goals
• To develop knowledge and methods for evaluating and comparing framework conditions and cost-effectiveness of disease control strategies with regard to sustainability dimensions and various stakeholders.
• To develop tools and methods for integrating interdisciplinary knowledge to model disease epidemiology with direct and indirect socio-economic effects.
• To develop tools and methods to make results from integrated models and other knowledge available to decision-makers, to support both tactical responses to existing situations and strategic preventive disease control.
Keywords
Parasite;
Economy;
Salmon;
Open sea aquaculture;
Fish;
Disease;
Technology;
Cage aquaculture;
Fish health;
Aquaculture management;
Biology;
Marine Region
76
Not associated to marine areas
0
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