Modelling salmon lice, Lepeophtheirus salmonis, reproduction on farmed Atlantic salmon, Salmo salar L

Overview
TitleModelling salmon lice, Lepeophtheirus salmonis, reproduction on farmed Atlantic salmon, Salmo salar L
AuthorsStormoen M, Skjerve E, Aunsmo A
TypeJournal Article
Journal NameJournal of fish diseases
Volume36
Issue1
Year2013
Page(s)25-33
CitationStormoen M, Skjerve E, Aunsmo A. Modelling salmon lice, Lepeophtheirus salmonis, reproduction on farmed Atlantic salmon, Salmo salar L. Journal of fish diseases. 2013 Jan; 36(1):25-33.

Abstract

The aim of this study was to model sea lice levels and the effect on reproduction by a stochastic simulation model and to evaluate the uncertainty of lice estimates based upon counts. Two empirical data sets were examined to parameterize the models. An overall fit of the data to the Poisson distribution was found and thus was used as the base of the stochastic models. In the model, salmon lice reproduction is not linear with the number of adult females and at low lice loads a smaller proportion of the adult female lice will reproduce. Depending on the variance structure, it was estimated that between 40% and 60% of the adult female lice will reproduce at an abundance of 0.5 adult females per fish. Lice counts, especially when examining few fish at low lice loads, are uncertain and at a true abundance of 0.1 one may count between 0 and 5 lice when examining 10 fish. Understanding the dynamics of sea lice reproduction is a key factor in the development of sustainable control strategies.

Author Details
Additional information about authors:
Details
1M Stormoen
2E Skjerve
3A Aunsmo
Properties
Additional details for this publication include:
Property NameValue
Publication ModelPrint-Electronic
ISSN1365-2761
eISSN1365-2761
Publication Date2013 Jan
Journal AbbreviationJ. Fish Dis.
DOI10.1111/j.1365-2761.2012.01415.x
Elocation10.1111/j.1365-2761.2012.01415.x
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:22971165