A model for sea lice (Lepeophtheirus salmonis) dynamics in a seasonally changing environment

Matthew A. Rittenhouse, Crawford W. Revie, Amy Hurford

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

Sea lice (Lepeophtheirus salmonis) are a significant source of monetary losses on salmon farms. Sea lice exhibit temperature-dependent development rates and salinity-dependent mortality, but to date no deterministic models have incorporated these seasonally varying factors. To understand how environmental variation and life history characteristics affect sea lice abundance, we derive a delay differential equation model and parameterize the model with environmental data from British Columbia and southern Newfoundland. We calculate the lifetime reproductive output for female sea lice maturing to adulthood at different times of the year and find differences in the timing of peak reproduction between the two regions. Using a sensitivity analysis, we find that sea lice abundance is more sensitive to variation in mean annual water temperature and mean annual salinity than to variation in life history parameters. Our results suggest that effective sea lice management requires consideration of site-specific temperature and salinity patterns and, in particular, that the optimal timing of production cycles and sea lice treatments might vary between regions.

LanguageEnglish
Pages8-16
Number of pages9
JournalEpidemics
Volume16
Early online date26 Mar 2016
DOIs
Publication statusPublished - 30 Sep 2016

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Phthiraptera
Copepoda
Oceans and Seas
Salinity
Temperature
Newfoundland and Labrador
British Columbia
Salmon
Reproduction
Mortality
Water

Keywords

  • aquaculture
  • sea lice
  • delay differential equations
  • seasonality
  • mathematical models
  • salmon farming
  • computational modelling

Cite this

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abstract = "Sea lice (Lepeophtheirus salmonis) are a significant source of monetary losses on salmon farms. Sea lice exhibit temperature-dependent development rates and salinity-dependent mortality, but to date no deterministic models have incorporated these seasonally varying factors. To understand how environmental variation and life history characteristics affect sea lice abundance, we derive a delay differential equation model and parameterize the model with environmental data from British Columbia and southern Newfoundland. We calculate the lifetime reproductive output for female sea lice maturing to adulthood at different times of the year and find differences in the timing of peak reproduction between the two regions. Using a sensitivity analysis, we find that sea lice abundance is more sensitive to variation in mean annual water temperature and mean annual salinity than to variation in life history parameters. Our results suggest that effective sea lice management requires consideration of site-specific temperature and salinity patterns and, in particular, that the optimal timing of production cycles and sea lice treatments might vary between regions.",
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A model for sea lice (Lepeophtheirus salmonis) dynamics in a seasonally changing environment. / Rittenhouse, Matthew A.; Revie, Crawford W.; Hurford, Amy.

In: Epidemics, Vol. 16, 30.09.2016, p. 8-16.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A model for sea lice (Lepeophtheirus salmonis) dynamics in a seasonally changing environment

AU - Rittenhouse, Matthew A.

AU - Revie, Crawford W.

AU - Hurford, Amy

N1 - Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.

PY - 2016/9/30

Y1 - 2016/9/30

N2 - Sea lice (Lepeophtheirus salmonis) are a significant source of monetary losses on salmon farms. Sea lice exhibit temperature-dependent development rates and salinity-dependent mortality, but to date no deterministic models have incorporated these seasonally varying factors. To understand how environmental variation and life history characteristics affect sea lice abundance, we derive a delay differential equation model and parameterize the model with environmental data from British Columbia and southern Newfoundland. We calculate the lifetime reproductive output for female sea lice maturing to adulthood at different times of the year and find differences in the timing of peak reproduction between the two regions. Using a sensitivity analysis, we find that sea lice abundance is more sensitive to variation in mean annual water temperature and mean annual salinity than to variation in life history parameters. Our results suggest that effective sea lice management requires consideration of site-specific temperature and salinity patterns and, in particular, that the optimal timing of production cycles and sea lice treatments might vary between regions.

AB - Sea lice (Lepeophtheirus salmonis) are a significant source of monetary losses on salmon farms. Sea lice exhibit temperature-dependent development rates and salinity-dependent mortality, but to date no deterministic models have incorporated these seasonally varying factors. To understand how environmental variation and life history characteristics affect sea lice abundance, we derive a delay differential equation model and parameterize the model with environmental data from British Columbia and southern Newfoundland. We calculate the lifetime reproductive output for female sea lice maturing to adulthood at different times of the year and find differences in the timing of peak reproduction between the two regions. Using a sensitivity analysis, we find that sea lice abundance is more sensitive to variation in mean annual water temperature and mean annual salinity than to variation in life history parameters. Our results suggest that effective sea lice management requires consideration of site-specific temperature and salinity patterns and, in particular, that the optimal timing of production cycles and sea lice treatments might vary between regions.

KW - aquaculture

KW - sea lice

KW - delay differential equations

KW - seasonality

KW - mathematical models

KW - salmon farming

KW - computational modelling

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