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.
Data and Resources
Field | Value |
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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 | |
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). |
Contact Name | Marine Scotland |
Contact Email | |
Public Access Level | Public |