Modelling the Impacts of Finfish Aquaculture

Abstract

The main components of lagrangian (particle tracking) models used in the assessment of aquaculture impact have been reviewed. Trends in input data requirements have also been examined, with some emphasis on general modelling issues such as standardisation of data and scenario complexity. Specific data aspects were tested in a flux and benthic effects (impact) model and their importance assessed. Dispersion coefficients resolved from drifting buoy data were found to influence model predictions widely depending on the criteria used in the analysis. Different lengths of hydrographic data sub-sampled from a 206 day record measured at a Scottish fish farm also resulted in different model predictions. This highlighted the importance of taking representative hydrographic measurements for regulatory modelling of maximum farm biomass. Both cage movement and the timing of feeding and defecation events were also tested using observed data and found to be of less importance.