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Evaluation of a national operational salmon lice monitoring system—From physics to fish
The Norwegian government has decided that the aquaculture industry shall grow, provided that the growth is environmentally sustainable. Sustainability is scored based on the mortality of wild salmonids caused by the parasitic salmon lice. Salmon lice infestation pressure has traditionally been monit...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6067748/ https://www.ncbi.nlm.nih.gov/pubmed/30063759 http://dx.doi.org/10.1371/journal.pone.0201338 |
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author | Myksvoll, Mari Skuggedal Sandvik, Anne Dagrun Albretsen, Jon Asplin, Lars Johnsen, Ingrid Askeland Karlsen, Ørjan Kristensen, Nils Melsom Melsom, Arne Skardhamar, Jofrid Ådlandsvik, Bjørn |
author_facet | Myksvoll, Mari Skuggedal Sandvik, Anne Dagrun Albretsen, Jon Asplin, Lars Johnsen, Ingrid Askeland Karlsen, Ørjan Kristensen, Nils Melsom Melsom, Arne Skardhamar, Jofrid Ådlandsvik, Bjørn |
author_sort | Myksvoll, Mari Skuggedal |
collection | PubMed |
description | The Norwegian government has decided that the aquaculture industry shall grow, provided that the growth is environmentally sustainable. Sustainability is scored based on the mortality of wild salmonids caused by the parasitic salmon lice. Salmon lice infestation pressure has traditionally been monitored through catching wild sea trout and Arctic char using nets or traps or by trawling after Atlantic salmon postsmolts. However, due to that the Norwegian mainland coastline is nearly 25 000 km, complementary methods that may be used in order to give complete results are needed. We have therefore developed an operational salmon lice model, which calculates the infestation pressure all along the coast in near real-time based on a hydrodynamical ocean model and a salmon lice particle tracking model. The hydrodynamic model generally shows a negative temperature bias and a positive salinity bias compared to observations. The modeled salmon lice dispersion correlates with measured lice on wild salmonids caught using traps or nets. This allows for using two complementary data sources in order to determine the infestation pressure of lice originating from fish farms on wild salmonids, and thereby provide an improved monitoring system for assessing risk and sustainability which forms the basis for knowledge-based advice to management authorities. |
format | Online Article Text |
id | pubmed-6067748 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-60677482018-08-10 Evaluation of a national operational salmon lice monitoring system—From physics to fish Myksvoll, Mari Skuggedal Sandvik, Anne Dagrun Albretsen, Jon Asplin, Lars Johnsen, Ingrid Askeland Karlsen, Ørjan Kristensen, Nils Melsom Melsom, Arne Skardhamar, Jofrid Ådlandsvik, Bjørn PLoS One Research Article The Norwegian government has decided that the aquaculture industry shall grow, provided that the growth is environmentally sustainable. Sustainability is scored based on the mortality of wild salmonids caused by the parasitic salmon lice. Salmon lice infestation pressure has traditionally been monitored through catching wild sea trout and Arctic char using nets or traps or by trawling after Atlantic salmon postsmolts. However, due to that the Norwegian mainland coastline is nearly 25 000 km, complementary methods that may be used in order to give complete results are needed. We have therefore developed an operational salmon lice model, which calculates the infestation pressure all along the coast in near real-time based on a hydrodynamical ocean model and a salmon lice particle tracking model. The hydrodynamic model generally shows a negative temperature bias and a positive salinity bias compared to observations. The modeled salmon lice dispersion correlates with measured lice on wild salmonids caught using traps or nets. This allows for using two complementary data sources in order to determine the infestation pressure of lice originating from fish farms on wild salmonids, and thereby provide an improved monitoring system for assessing risk and sustainability which forms the basis for knowledge-based advice to management authorities. Public Library of Science 2018-07-31 /pmc/articles/PMC6067748/ /pubmed/30063759 http://dx.doi.org/10.1371/journal.pone.0201338 Text en © 2018 Myksvoll et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Myksvoll, Mari Skuggedal Sandvik, Anne Dagrun Albretsen, Jon Asplin, Lars Johnsen, Ingrid Askeland Karlsen, Ørjan Kristensen, Nils Melsom Melsom, Arne Skardhamar, Jofrid Ådlandsvik, Bjørn Evaluation of a national operational salmon lice monitoring system—From physics to fish |
title | Evaluation of a national operational salmon lice monitoring system—From physics to fish |
title_full | Evaluation of a national operational salmon lice monitoring system—From physics to fish |
title_fullStr | Evaluation of a national operational salmon lice monitoring system—From physics to fish |
title_full_unstemmed | Evaluation of a national operational salmon lice monitoring system—From physics to fish |
title_short | Evaluation of a national operational salmon lice monitoring system—From physics to fish |
title_sort | evaluation of a national operational salmon lice monitoring system—from physics to fish |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6067748/ https://www.ncbi.nlm.nih.gov/pubmed/30063759 http://dx.doi.org/10.1371/journal.pone.0201338 |
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