Use of agent-based modelling to predict benefits of cleaner fish in controlling sea lice, Lepeophtheirus salmonis, infestations on farmed Atlantic salmon, Salmo salar L.

M.L. Groner, R. Cox, George Gettinby, Crawford W. Revie

Research output: Contribution to journalArticle

25 Citations (Scopus)
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Abstract

Sea lice, Lepeophtheirus salmonis, are ectoparasites of farmed and wild salmonids. Infestations can result in significant morbidity and mortality of hosts in addition to being costly to control. Integrated pest management programmes have been developed to manage infestations, and in some salmon farming areas, these programmes include
the use of wrasse. Wrasse prey upon the parasitic life stages of L. salmonis and can be stocked on farms at varying densities. Despite considerable variation in the usage of wrasse, there are few quantitative estimates of how well they can control sea lice and how best to optimize their use. To explore at what densities wrasse should be
stocked in order to meet specific control targets, we built an individual-based model that simulates sea lice infestation patterns on a representative salmonid host. Sea lice can be controlled through the use of chemical treatments as well as by wrasse predators. We found that the wrasse can effectively control sea lice, and the densities of wrasse needed for effective control depend upon the source of the infestation and the targeted level of control. Effective usage of wrasse can result in decreased use of chemical treatments and improved control of sea lice.
Original languageEnglish
Pages (from-to)195-208
Number of pages14
JournalJournal of fish diseases
Volume36
Issue number3
Early online date5 Nov 2012
DOIs
Publication statusPublished - Mar 2013

Keywords

  • atlantic salmon
  • cleaner fish
  • ectoparasites
  • individual-based model
  • integrated pest management
  • sea lice
  • agent-based modelling
  • benefits
  • morbidity and mortality
  • salmon farming
  • wrasse
  • parasitic life
  • control targets
  • chemical treatments
  • wrasse predators

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