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Standardizing Biological Modelling of Sea Lice Dispersal. Alexander G Murray 1 , Tom Adams 2 , Lars Asplin 3 and Sam Shephard 4 Marine Scotland Science, Aberdeen Scottish Association for Marine Science, Oban Institute of Marine Research, Bergen Inland Fisheries Ireland, Dublin.
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Standardizing Biological Modelling of Sea Lice Dispersal Alexander G Murray1, Tom Adams2, Lars Asplin3 and Sam Shephard4 Marine Scotland Science, Aberdeen Scottish Association for Marine Science, Oban Institute of Marine Research, Bergen Inland Fisheries Ireland, Dublin
Importance of sea lice • Key limitation to sustainable increase in marine salmonid farming • Treatments and controls are expensive and have problems • Transmit to (and from) wild salmonids • Number are up • Treatment rate is up
Planktonic larvae • One of the issues that makes sea lice difficult to control are their free living larvae • These are transported with ocean currents • Potentially over long distances • Although activity is relatively limited they are not passive particles • Links farms and between farm and wild populations
Coupled modelling of coupled processes • Larval transport depends on movement of water and biological properties of the sea lice • Therefore coupled hydrodynamic-particle modelling is used • Model 1. derives current velocities through simulation of physical processes in response to drivers such as wind and tides • Model 2. describes the biological processes such as mortality or swimming behaviours of sea lice
Applications • Scotland: Loch Torridon, Loch Linnhe, Loch Fyne, west coast, Scottish shelf • Norway: Hardanger Fjord, entire Norwegian coast • Canada: Broughton Archipelago BC • Faeroes • Ireland Killary Harbour
Multiple applications (nearly) same problem • The models used have been developed by different institutions in different countries • There are different issues in different territories and applications, but generally similar problems addressed • So there are shared problems with potential for collaboration • Collaboration has in fact occurred for some time (particularly between Norway, Scotland and Canada) • However this can be taken further and models standardised
Why standardise models? • Not to force round pegs into square holes • Sometimes different models are required for different purposes • However, a flexible standard model (e.g. with temperature dependence) can cover a range of conditions • Standardised models allow an accepted ‘off the peg’ model to be used in new areas • Cheaper and easier • Modelling assumptions already accepted • Standardised models allow simulations of different systems to be compared • different outputs are differences in the system not in the model
MASTS funded workshop • MASTS funded workshop held in Aberdeen in February • Meeting of delegates from the institutions on this presentation • Discussed modelling approaches to identify similarities and differences • Outputs relating to biological processes discussed here • www.masts.ac.uk/media/36205/nhmsg5-report.pdf
Biological standardization • Physical models need standards too, and these were discussed, but time limits what is presented here • Biological processes are divided into two topics: • (a) processes such as production and mortality which are relatively simple rates • (b) processes related to lice swimming which is more complex issue of behaviour • These introduce a range of different issues
The basic rate processes • Egg production • Survival of larvae • Maturation of larvae • Modelling rates requires empirical data • Much of this data already exists from existing studies • Some refinements needed through future research
Egg production • It is possible to model relative lice production without explicit egg production model • Needs relative size of production sources • Egg production to estimate absolute lice production • Need estimate of numbers of ovigerous females • Clutch size varies with • Age of female • Farmed or wild fish • Environment • Egg survival high but varies with environment • Still not standardised
Survival • Very sensitive to environment • Mortality increases rapidly as salinity drops below 29ppt • Biological mortality, e.g. grazing by plankton or mussels • For full strength sea water mortality of about 1% h-1 is a reasonable standard • Also finite life-span
Maturation • Sea lice go through non-infectious stages • Time required is highly dependent on temperature • Use a single value based on average temperature for any particular scenarios e.g. 3.6 days for 10 c • Early Brooks • Boxaspen & Naess low temp • Standard by Stien
Effects of rate sensitivities • Shorter cycles with faster maturation as temperature warms • Problem populations can build up faster • Dispersal distances less so smaller management areas may be effective • Populations inhibited if salinity drops
Swimming behaviour • Lice are not passive particles • Phototactic tend to be found near surface • This is standard used in Scottish models lice particles are held in surface layer • In Norway more complexity may be required e.g. to avoid haloclines • More sophisticated models therefore being developed
Vertical swimming • Sea lice swim towards surface • In downwellings this means rising particles become concentrated • Can be trapped by onshore winds forming concentrations
Effect of swimming behaviour • Lice are not scattered through water column • Subject to surface currents which are often stronger and more sensitive to winds, so lice may move greater distances than passive particles • Lice can form concentrations at downwelling locations and shorelines with onshore wind, sometimes distant from the source • Lice can avoid dangerous low salinities (this is not yet standardised) • This is an area in greater need for new data than the rates
Also • Standardisation of hydrodynamic modelling approaches • Standardisation of field sampling • Standardisation of outputs
Application of standardisation • Modelling for European standard that will take lessons learned from previous models • Partners from organisation involved in this model • Application to Killary Harbour, Ireland