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...
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ftimr:oai:imr.brage.unit.no:11250/2562465 2023-05-15T15:07:13+02:00 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 2018 application/pdf http://hdl.handle.net/11250/2562465 https://doi.org/10.1371/journal.pone.0201338 eng eng Havforskningsinstituttet: 14650 Norges forskningsråd: 244439 urn:issn:1932-6203 http://hdl.handle.net/11250/2562465 https://doi.org/10.1371/journal.pone.0201338 cristin:1599853 13 PLoS ONE 7 Journal article Peer reviewed 2018 ftimr https://doi.org/10.1371/journal.pone.0201338 2021-09-23T20:14:38Z 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. publishedVersion Article in Journal/Newspaper Arctic Atlantic salmon Institute for Marine Research: Brage IMR Arctic PLOS ONE 13 7 e0201338 |
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Institute for Marine Research: Brage IMR |
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English |
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. publishedVersion |
format |
Article in Journal/Newspaper |
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 |
spellingShingle |
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 |
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 |
title |
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_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_sort |
evaluation of a national operational salmon lice monitoring system - from physics to fish |
publishDate |
2018 |
url |
http://hdl.handle.net/11250/2562465 https://doi.org/10.1371/journal.pone.0201338 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Atlantic salmon |
genre_facet |
Arctic Atlantic salmon |
op_source |
13 PLoS ONE 7 |
op_relation |
Havforskningsinstituttet: 14650 Norges forskningsråd: 244439 urn:issn:1932-6203 http://hdl.handle.net/11250/2562465 https://doi.org/10.1371/journal.pone.0201338 cristin:1599853 |
op_doi |
https://doi.org/10.1371/journal.pone.0201338 |
container_title |
PLOS ONE |
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13 |
container_issue |
7 |
container_start_page |
e0201338 |
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1766338773874900992 |