A Model For Sea Lice ( Lepeophtheirus salmonis ) Dynamics In A Seasonally Changing Environment
Highlights • We incorporate temperature and salinity into a model of sea lice development. • We show different annual reproductive peaks between British Columbia and Newfoundland. • We find the model is more sensitive to environmental than to biological parameters. • Consideration of local environme...
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| Published in: | Epidemics Vol. 16; no. C; pp. 8 - 16 |
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| Abstract | Highlights • We incorporate temperature and salinity into a model of sea lice development. • We show different annual reproductive peaks between British Columbia and Newfoundland. • We find the model is more sensitive to environmental than to biological parameters. • Consideration of local environmental patterns can improve sea lice management. |
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| AbstractList | 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. •We incorporate temperature and salinity into a model of sea lice development.•We show different annual reproductive peaks between British Columbia and Newfoundland.•We find the model is more sensitive to environmental than to biological parameters.•Consideration of local environmental patterns can improve sea lice management. 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. Highlights • We incorporate temperature and salinity into a model of sea lice development. • We show different annual reproductive peaks between British Columbia and Newfoundland. • We find the model is more sensitive to environmental than to biological parameters. • Consideration of local environmental patterns can improve sea lice management. |
| Author | Revie, Crawford W Hurford, Amy Rittenhouse, Matthew A |
| Author_xml | – sequence: 1 fullname: Rittenhouse, Matthew A – sequence: 2 fullname: Revie, Crawford W – sequence: 3 fullname: Hurford, Amy |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27663786$$D View this record in MEDLINE/PubMed |
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| Keywords | Sea lice Mathematical model Delay differential equations Seasonality Aquaculture |
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| Snippet | Highlights • We incorporate temperature and salinity into a model of sea lice development. • We show different annual reproductive peaks between British... •We incorporate temperature and salinity into a model of sea lice development.•We show different annual reproductive peaks between British Columbia and... Sea lice (Lepeophtheirus salmonis) are a significant source of monetary losses on salmon farms. Sea lice exhibit temperature-dependent development rates and... |
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| SubjectTerms | Animals Aquaculture British Columbia Copepoda Delay differential equations Female Fish Diseases - epidemiology Infectious Disease Internal Medicine Mathematical model Population Dynamics Salmon Sea lice Seasonality Seasons |
| Title | A Model For Sea Lice ( Lepeophtheirus salmonis ) Dynamics In A Seasonally Changing Environment |
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