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Ocean modelling for aquaculture and fisheries in Irish waters.

Authors :
Dabrowski, T.
Lyons, K.
Cusack, C.
Casal, G.
Berry, A.
Nolan, G. D.
Source :
Ocean Science Discussions; 2015, Vol. 12 Issue 3, p1187-1217, 31p
Publication Year :
2015

Abstract

The Marine Institute, Ireland, runs a suite of operational regional and coastal ocean models. Recent developments include several tailored products that focus on the key needs of the Irish aquaculture sector. In this article, an overview of the products and services derived from the models are presented. A shellfish model that includes growth and physiological interactions of mussels with the ecosystem and is fully embedded in the 3-D numerical modelling framework has been developed at the Marine Institute. This shellfish model has a microbial module designed to predict levels of coliform contamination in mussels. This model can also be used to estimate the carrying capacity of embayments, assess impacts of pollution on aquaculture grounds and help to classify shellfish waters. The physical coastal model of southwest Ireland provides a three day forecast of shelf water movement in the region. This is assimilated into a new harmful algal bloom alert system used to inform end-users of potential toxic shellfish events and high biomass blooms that include fish killing species. Further services include the use of models to identify potential sites for offishore aquaculture, to inform studies of potential cross-contamination in farms from the dispersal of planktonic sea lice larvae and other pathogens that can infect finfish and to provide modelled products that underpin the assessment and advisory services on the sustainable exploitation of the marine fisheries resources. This paper demonstrates that ocean models can provide an invaluable contribution to the sustainable blue growth of aquaculture and fisheries. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18120806
Volume :
12
Issue :
3
Database :
Complementary Index
Journal :
Ocean Science Discussions
Publication Type :
Academic Journal
Accession number :
108333077
Full Text :
https://doi.org/10.5194/osd-12-1187-2015