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Timing and probability of arrival for sea lice dispersing between salmon farms
Sea lice are a threat to the health of both wild and farmed salmon and an economic burden for salmon farms. With a free-living larval stage, sea lice can disperse tens of kilometres in the ocean between salmon farms, leading to connected sea louse populations that are difficult to control in isolati...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905982/ https://www.ncbi.nlm.nih.gov/pubmed/36778949 http://dx.doi.org/10.1098/rsos.220853 |
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author | Harrington, Peter D. Cantrell, Danielle L. Foreman, Michael G. G. Guo, Ming Lewis, Mark A. |
author_facet | Harrington, Peter D. Cantrell, Danielle L. Foreman, Michael G. G. Guo, Ming Lewis, Mark A. |
author_sort | Harrington, Peter D. |
collection | PubMed |
description | Sea lice are a threat to the health of both wild and farmed salmon and an economic burden for salmon farms. With a free-living larval stage, sea lice can disperse tens of kilometres in the ocean between salmon farms, leading to connected sea louse populations that are difficult to control in isolation. In this paper, we develop a simple analytical model for the dispersal of sea lice (Lepeophtheirus salmonis) between two salmon farms. From the model, we calculate the arrival time distribution of sea lice dispersing between farms, as well as the level of cross-infection of sea lice. We also use numerical flows from a hydrodynamic model, coupled with a particle tracking model, to directly calculate the arrival time of sea lice dispersing between two farms in the Broughton Archipelago, British Columbia, in order to fit our analytical model and find realistic parameter estimates. Using the parametrized analytical model, we show that there is often an intermediate interfarm spacing that maximizes the level of cross-infection between farms, and that increased temperatures will lead to increased levels of cross-infection. |
format | Online Article Text |
id | pubmed-9905982 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-99059822023-02-09 Timing and probability of arrival for sea lice dispersing between salmon farms Harrington, Peter D. Cantrell, Danielle L. Foreman, Michael G. G. Guo, Ming Lewis, Mark A. R Soc Open Sci Mathematics Sea lice are a threat to the health of both wild and farmed salmon and an economic burden for salmon farms. With a free-living larval stage, sea lice can disperse tens of kilometres in the ocean between salmon farms, leading to connected sea louse populations that are difficult to control in isolation. In this paper, we develop a simple analytical model for the dispersal of sea lice (Lepeophtheirus salmonis) between two salmon farms. From the model, we calculate the arrival time distribution of sea lice dispersing between farms, as well as the level of cross-infection of sea lice. We also use numerical flows from a hydrodynamic model, coupled with a particle tracking model, to directly calculate the arrival time of sea lice dispersing between two farms in the Broughton Archipelago, British Columbia, in order to fit our analytical model and find realistic parameter estimates. Using the parametrized analytical model, we show that there is often an intermediate interfarm spacing that maximizes the level of cross-infection between farms, and that increased temperatures will lead to increased levels of cross-infection. The Royal Society 2023-02-08 /pmc/articles/PMC9905982/ /pubmed/36778949 http://dx.doi.org/10.1098/rsos.220853 Text en © 2023 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Mathematics Harrington, Peter D. Cantrell, Danielle L. Foreman, Michael G. G. Guo, Ming Lewis, Mark A. Timing and probability of arrival for sea lice dispersing between salmon farms |
title | Timing and probability of arrival for sea lice dispersing between salmon farms |
title_full | Timing and probability of arrival for sea lice dispersing between salmon farms |
title_fullStr | Timing and probability of arrival for sea lice dispersing between salmon farms |
title_full_unstemmed | Timing and probability of arrival for sea lice dispersing between salmon farms |
title_short | Timing and probability of arrival for sea lice dispersing between salmon farms |
title_sort | timing and probability of arrival for sea lice dispersing between salmon farms |
topic | Mathematics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905982/ https://www.ncbi.nlm.nih.gov/pubmed/36778949 http://dx.doi.org/10.1098/rsos.220853 |
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