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

Overview
TitleUse of agent-based modelling to predict benefits of cleaner fish in controlling sea lice, Lepeophtheirus salmonis, infestations on farmed Atlantic salmon, Salmo salar L
AuthorsGroner ML, Cox R, Gettinby G, Revie CW
TypeJournal Article
Journal NameJournal of fish diseases
Volume36
Issue3
Year2013
Page(s)195-208
CitationGroner ML, Cox R, Gettinby G, Revie CW. 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. Journal of fish diseases. 2013 Mar; 36(3):195-208.

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.

Author Details
Additional information about authors:
Details
1M L Groner
2R Cox
3G Gettinby
4C W Revie
Properties
Additional details for this publication include:
Property NameValue
Publication ModelPrint-Electronic
ISSN1365-2761
eISSN1365-2761
Publication Date2013 Mar
Journal AbbreviationJ. Fish Dis.
DOI10.1111/jfd.12017
Elocation10.1111/jfd.12017
Copyright© 2012 Blackwell Publishing Ltd.
LanguageEnglish
Language Abbreng
Publication TypeJournal Article
Journal CountryEngland
Publication TypeResearch Support, Non-U.S. Gov't
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PMID: PMID:23121261