Modeling parasite dynamics on farmed salmon for precautionary conservation management of wild salmon
Rogers, Luke A. and Peacock, Stephanie J. and McKenzie, Peter and DeDominicis, Sharon and Jones, Simon R.M. and Chandler, Peter and Foreman, Michael G.G. and Revie, Crawford W. and Krkošek, Martin (2013) Modeling parasite dynamics on farmed salmon for precautionary conservation management of wild salmon. PLoS ONE, 8 (4). e60096. ISSN 1932-6203 (https://doi.org/10.1371/journal.pone.0060096)
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Abstract
Conservation management of wild fish may include fish health management in sympatric populations of domesticated fish in aquaculture. We developed a mathematical model for the population dynamics of parasitic sea lice (Lepeophtheirus salmonis) on domesticated populations of Atlantic salmon (Salmo salar) in the Broughton Archipelago region of British Columbia. The model was fit to a seven-year dataset of monthly sea louse counts on farms in the area to estimate population growth rates in relation to abiotic factors (temperature and salinity), local host density (measured as cohort surface area), and the use of a parasiticide, emamectin benzoate, on farms. We then used the model to evaluate management scenarios in relation to policy guidelines that seek to keep motile louse abundance below an average three per farmed salmon during the March-June juvenile wild Pacific salmon (Oncorhynchus spp.) migration. Abiotic factors mediated the duration of effectiveness of parasiticide treatments, and results suggest treatment of farmed salmon conducted in January or early February minimized average louse abundance per farmed salmon during the juvenile wild salmon migration. Adapting the management of parasites on farmed salmon according to migrations of wild salmon may therefore provide a precautionary approach to conserving wild salmon populations in salmon farming regions.
ORCID iDs
Rogers, Luke A., Peacock, Stephanie J., McKenzie, Peter, DeDominicis, Sharon, Jones, Simon R.M., Chandler, Peter, Foreman, Michael G.G., Revie, Crawford W. ORCID: https://orcid.org/0000-0002-5018-0340 and Krkošek, Martin;-
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Item type: Article ID code: 64486 Dates: DateEvent5 April 2013PublishedSubjects: Agriculture > Aquaculture. Fisheries. Angling
Science > Mathematics > Probabilities. Mathematical statisticsDepartment: Faculty of Science > Computer and Information Sciences Depositing user: Pure Administrator Date deposited: 14 Jun 2018 15:12 Last modified: 16 Dec 2024 16:41 URI: https://strathprints.strath.ac.uk/id/eprint/64486