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 |
|---|---|
| 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) 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 |
| Contact Email | |
| Public Access Level | Public |