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Scottish Marine and Freshwater Science Reports

Formal report series, containing results of research and monitoring carried out by Marine Scotland Science

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Interpretation of sea lice connectivity patterns among Scottish Farm Management Areas

Scottish Marine and Freshwater Science Vol 11 No 4
Climatological (“average year”) flow fields from the Scottish Shelf Model (SSM) have been used to estimate the degree of connectivity between Scottish finfish aquaculture Farm Management Areas (FMA) using off-line particle tracking simulations of virtual organisms (“particles”) representing the infective phases of sea lice. The analysis carried out in this document is based on presence-absence of connections between FMAs as well as connection probabilities above a defined threshold. A weighting (relative to the consented biomass of farms within each FMA) was also applied to the probabilities to give a more realistic scenario.

doi: 
10.7489/12273-1
Citation: 
Rabe, B. and Gallego, A. 2020. Interpretation of sea lice connectivity patterns among Scottish Farm Management Areas. Scottish Marine and Freshwater Science Vol 11 No 4, 29pp. DOI: 10.7489/12273-1
FieldValue
Publisher
Modified
2020-03-27
Release Date
2020-03-27
Identifier
62367af2-8401-40df-bdaf-99cc7f54e156
Spatial / Geographical Coverage Location
Scotland
License
UK Open Government Licence (OGL)
Author
Marine Scotland
Data Dictionary

The connectivity analysis is based on output from a coupled bio-physical model. Details about the hydrodynamic model, forcings, model integration, the biological model, particle releases, and the connectivity analysis can be found in Rabe et al. (2020) Applied connectivity modelling at local to regional scale: The potential for sea lice transmission between Scottish finfish aquaculture management areas. Estuarine, Coastal and Shelf Science. DOI: 10.1016/j.ecss.2020.106716

Contact Name
Marine Scotland
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Public Access Level
Public