Simulating particle organic matter dispersal beneath Atlantic salmon fish farms using different resuspension approaches
An accurate representation of the particle organic matter (POM) footprint is necessary in order to effectively predict impacts upon benthic communities and the risk of excessive organic enrichment beneath aquaculture sea-cages. Consequently, bottom-related processes such as particle resuspension mus...
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Online Access: | https://hdl.handle.net/11250/2686804 https://doi.org/10.1016/j.marpolbul.2020.111685 |
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ftimr:oai:imr.brage.unit.no:11250/2686804 2023-05-15T15:30:49+02:00 Simulating particle organic matter dispersal beneath Atlantic salmon fish farms using different resuspension approaches Carvajalino-Fernandez, Marcos Antonio Sævik, Pål Næverlid Johnsen, Ingrid Askeland Albretsen, Jon Keeley, Nigel B. 2020 application/pdf https://hdl.handle.net/11250/2686804 https://doi.org/10.1016/j.marpolbul.2020.111685 eng eng Norges forskningsråd: 228871 Norges forskningsråd: 267829 Marine Pollution Bulletin. 2020, 161 . urn:issn:0025-326X https://hdl.handle.net/11250/2686804 https://doi.org/10.1016/j.marpolbul.2020.111685 cristin:1839340 14 161 Marine Pollution Bulletin Peer reviewed Journal article 2020 ftimr https://doi.org/10.1016/j.marpolbul.2020.111685 2021-09-23T20:14:41Z An accurate representation of the particle organic matter (POM) footprint is necessary in order to effectively predict impacts upon benthic communities and the risk of excessive organic enrichment beneath aquaculture sea-cages. Consequently, bottom-related processes such as particle resuspension must be adequately parametrized and evaluated in the available numerical models. We implemented two approaches to model POM resuspension in a Lagrangian particle tracking model and compared their influence on footprint extension and gradients of depositional flux against a no-resuspension scenario. We performed simulations in both exposed and protected aquaculture locations, and at different stages of the Atlantic Salmon (Salmo salar) production cycle in Norway. Our results indicate that the use of sediment-dependent thresholds for resuspension has the potential to regulate the high levels of erosion produced when selecting a low critical value in constant-threshold approaches, particularly in dynamic environments with mixed sediment types. publishedVersion Article in Journal/Newspaper Atlantic salmon Salmo salar Institute for Marine Research: Brage IMR Norway Marine Pollution Bulletin 161 111685 |
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Open Polar |
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Institute for Marine Research: Brage IMR |
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ftimr |
language |
English |
description |
An accurate representation of the particle organic matter (POM) footprint is necessary in order to effectively predict impacts upon benthic communities and the risk of excessive organic enrichment beneath aquaculture sea-cages. Consequently, bottom-related processes such as particle resuspension must be adequately parametrized and evaluated in the available numerical models. We implemented two approaches to model POM resuspension in a Lagrangian particle tracking model and compared their influence on footprint extension and gradients of depositional flux against a no-resuspension scenario. We performed simulations in both exposed and protected aquaculture locations, and at different stages of the Atlantic Salmon (Salmo salar) production cycle in Norway. Our results indicate that the use of sediment-dependent thresholds for resuspension has the potential to regulate the high levels of erosion produced when selecting a low critical value in constant-threshold approaches, particularly in dynamic environments with mixed sediment types. publishedVersion |
format |
Article in Journal/Newspaper |
author |
Carvajalino-Fernandez, Marcos Antonio Sævik, Pål Næverlid Johnsen, Ingrid Askeland Albretsen, Jon Keeley, Nigel B. |
spellingShingle |
Carvajalino-Fernandez, Marcos Antonio Sævik, Pål Næverlid Johnsen, Ingrid Askeland Albretsen, Jon Keeley, Nigel B. Simulating particle organic matter dispersal beneath Atlantic salmon fish farms using different resuspension approaches |
author_facet |
Carvajalino-Fernandez, Marcos Antonio Sævik, Pål Næverlid Johnsen, Ingrid Askeland Albretsen, Jon Keeley, Nigel B. |
author_sort |
Carvajalino-Fernandez, Marcos Antonio |
title |
Simulating particle organic matter dispersal beneath Atlantic salmon fish farms using different resuspension approaches |
title_short |
Simulating particle organic matter dispersal beneath Atlantic salmon fish farms using different resuspension approaches |
title_full |
Simulating particle organic matter dispersal beneath Atlantic salmon fish farms using different resuspension approaches |
title_fullStr |
Simulating particle organic matter dispersal beneath Atlantic salmon fish farms using different resuspension approaches |
title_full_unstemmed |
Simulating particle organic matter dispersal beneath Atlantic salmon fish farms using different resuspension approaches |
title_sort |
simulating particle organic matter dispersal beneath atlantic salmon fish farms using different resuspension approaches |
publishDate |
2020 |
url |
https://hdl.handle.net/11250/2686804 https://doi.org/10.1016/j.marpolbul.2020.111685 |
geographic |
Norway |
geographic_facet |
Norway |
genre |
Atlantic salmon Salmo salar |
genre_facet |
Atlantic salmon Salmo salar |
op_source |
14 161 Marine Pollution Bulletin |
op_relation |
Norges forskningsråd: 228871 Norges forskningsråd: 267829 Marine Pollution Bulletin. 2020, 161 . urn:issn:0025-326X https://hdl.handle.net/11250/2686804 https://doi.org/10.1016/j.marpolbul.2020.111685 cristin:1839340 |
op_doi |
https://doi.org/10.1016/j.marpolbul.2020.111685 |
container_title |
Marine Pollution Bulletin |
container_volume |
161 |
container_start_page |
111685 |
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1766361276108242944 |