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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ftunivbergen:oai:bora.uib.no:11250/2739950 2023-05-15T15:30:50+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. 2020-10-08 application/pdf https://hdl.handle.net/11250/2739950 https://doi.org/10.1016/j.marpolbul.2020.111685 eng eng Elsevier Norges forskningsråd: 228871 Norges forskningsråd: 267829 urn:issn:0025-326X https://hdl.handle.net/11250/2739950 https://doi.org/10.1016/j.marpolbul.2020.111685 cristin:1839340 Marine Pollution Bulletin. 2020, 161, Part B, 111685 Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no Copyright 2020 The Authors 111685 Marine Pollution Bulletin 161 1-14 Journal article Peer reviewed 2020 ftunivbergen https://doi.org/10.1016/j.marpolbul.2020.111685 2023-03-14T17:42:10Z 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 University of Bergen: Bergen Open Research Archive (BORA-UiB) Norway Marine Pollution Bulletin 161 111685 |
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Open Polar |
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University of Bergen: Bergen Open Research Archive (BORA-UiB) |
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ftunivbergen |
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 |
publisher |
Elsevier |
publishDate |
2020 |
url |
https://hdl.handle.net/11250/2739950 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 |
111685 Marine Pollution Bulletin 161 1-14 |
op_relation |
Norges forskningsråd: 228871 Norges forskningsråd: 267829 urn:issn:0025-326X https://hdl.handle.net/11250/2739950 https://doi.org/10.1016/j.marpolbul.2020.111685 cristin:1839340 Marine Pollution Bulletin. 2020, 161, Part B, 111685 |
op_rights |
Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no Copyright 2020 The Authors |
op_doi |
https://doi.org/10.1016/j.marpolbul.2020.111685 |
container_title |
Marine Pollution Bulletin |
container_volume |
161 |
container_start_page |
111685 |
_version_ |
1766361294768701440 |