Modeling salmon lice effects on sea trout population dynamics using an individual-based approach
Salmon lice Lepeophtheirus salmonis infestation of sea trout Salmo trutta results in both additional marine mortality and behavioral changes which may contribute to sea trout population decline. For effective management of activities that increase exposure to salmon lice, such as salmon aquaculture,...
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ftdoajarticles:oai:doaj.org/article:35759b1ed75c4ba2bc18b8400d2fb660 2023-05-15T17:43:31+02:00 Modeling salmon lice effects on sea trout population dynamics using an individual-based approach RD Hedger OH Diserud B Finstad AJ Jensen DK Hendrichsen O Ugedal TF Næsje 2021-05-01T00:00:00Z https://doi.org/10.3354/aei00397 https://doaj.org/article/35759b1ed75c4ba2bc18b8400d2fb660 EN eng Inter-Research https://www.int-res.com/abstracts/aei/v13/p145-163/ https://doaj.org/toc/1869-215X https://doaj.org/toc/1869-7534 1869-215X 1869-7534 doi:10.3354/aei00397 https://doaj.org/article/35759b1ed75c4ba2bc18b8400d2fb660 Aquaculture Environment Interactions, Vol 13, Pp 145-163 (2021) Aquaculture. Fisheries. Angling SH1-691 Ecology QH540-549.5 article 2021 ftdoajarticles https://doi.org/10.3354/aei00397 2022-12-31T07:00:31Z Salmon lice Lepeophtheirus salmonis infestation of sea trout Salmo trutta results in both additional marine mortality and behavioral changes which may contribute to sea trout population decline. For effective management of activities that increase exposure to salmon lice, such as salmon aquaculture, it is necessary to have a full understanding of how salmon lice may affect sea trout populations. An individual-based model (IBTRUTTA) was therefore developed to investigate the potential effects of salmon lice infestation on sea trout population abundance and dynamics based on data from the River Halselva and Altafjord system in northern Norway. This model allowed investigation of the effect of lice-induced mortality and also the compensatory salmonid behavioral mechanisms of premature return to freshwater, either persistent for overwintering or transitory after which sea trout could go back to sea. It was found that, in the absence of compensatory mechanisms, even low rates of lice infestation could lead to marked declines in sea trout abundance. Compensatory behavioral mechanisms had the potential to reduce these declines, but persistent premature return resulted in reduced body mass of returning adults. The shape of the stock-recruitment relationship was also shown to strongly affect how lice-induced mortality impacted the population. Article in Journal/Newspaper Northern Norway Directory of Open Access Journals: DOAJ Articles Norway Aquaculture Environment Interactions 13 145 163 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Aquaculture. Fisheries. Angling SH1-691 Ecology QH540-549.5 |
spellingShingle |
Aquaculture. Fisheries. Angling SH1-691 Ecology QH540-549.5 RD Hedger OH Diserud B Finstad AJ Jensen DK Hendrichsen O Ugedal TF Næsje Modeling salmon lice effects on sea trout population dynamics using an individual-based approach |
topic_facet |
Aquaculture. Fisheries. Angling SH1-691 Ecology QH540-549.5 |
description |
Salmon lice Lepeophtheirus salmonis infestation of sea trout Salmo trutta results in both additional marine mortality and behavioral changes which may contribute to sea trout population decline. For effective management of activities that increase exposure to salmon lice, such as salmon aquaculture, it is necessary to have a full understanding of how salmon lice may affect sea trout populations. An individual-based model (IBTRUTTA) was therefore developed to investigate the potential effects of salmon lice infestation on sea trout population abundance and dynamics based on data from the River Halselva and Altafjord system in northern Norway. This model allowed investigation of the effect of lice-induced mortality and also the compensatory salmonid behavioral mechanisms of premature return to freshwater, either persistent for overwintering or transitory after which sea trout could go back to sea. It was found that, in the absence of compensatory mechanisms, even low rates of lice infestation could lead to marked declines in sea trout abundance. Compensatory behavioral mechanisms had the potential to reduce these declines, but persistent premature return resulted in reduced body mass of returning adults. The shape of the stock-recruitment relationship was also shown to strongly affect how lice-induced mortality impacted the population. |
format |
Article in Journal/Newspaper |
author |
RD Hedger OH Diserud B Finstad AJ Jensen DK Hendrichsen O Ugedal TF Næsje |
author_facet |
RD Hedger OH Diserud B Finstad AJ Jensen DK Hendrichsen O Ugedal TF Næsje |
author_sort |
RD Hedger |
title |
Modeling salmon lice effects on sea trout population dynamics using an individual-based approach |
title_short |
Modeling salmon lice effects on sea trout population dynamics using an individual-based approach |
title_full |
Modeling salmon lice effects on sea trout population dynamics using an individual-based approach |
title_fullStr |
Modeling salmon lice effects on sea trout population dynamics using an individual-based approach |
title_full_unstemmed |
Modeling salmon lice effects on sea trout population dynamics using an individual-based approach |
title_sort |
modeling salmon lice effects on sea trout population dynamics using an individual-based approach |
publisher |
Inter-Research |
publishDate |
2021 |
url |
https://doi.org/10.3354/aei00397 https://doaj.org/article/35759b1ed75c4ba2bc18b8400d2fb660 |
geographic |
Norway |
geographic_facet |
Norway |
genre |
Northern Norway |
genre_facet |
Northern Norway |
op_source |
Aquaculture Environment Interactions, Vol 13, Pp 145-163 (2021) |
op_relation |
https://www.int-res.com/abstracts/aei/v13/p145-163/ https://doaj.org/toc/1869-215X https://doaj.org/toc/1869-7534 1869-215X 1869-7534 doi:10.3354/aei00397 https://doaj.org/article/35759b1ed75c4ba2bc18b8400d2fb660 |
op_doi |
https://doi.org/10.3354/aei00397 |
container_title |
Aquaculture Environment Interactions |
container_volume |
13 |
container_start_page |
145 |
op_container_end_page |
163 |
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1766145607282458624 |