1228630Interpretation of sea lice connectivity patterns among Scottish Farm Management AreasCreated by FeedsNodeProcessor100019734data_sourceund158533605215853360520015853360520- <p>Scottish Marine and Freshwater Science Vol 11 No 4<br />
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.</p>
full_html<p>Scottish Marine and Freshwater Science Vol 11 No 4<br />
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.</p>
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