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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Published in:Marine Pollution Bulletin
Main Authors: Carvajalino-Fernandez, Marcos Antonio, Sævik, Pål Næverlid, Johnsen, Ingrid Askeland, Albretsen, Jon, Keeley, Nigel B.
Format: Article in Journal/Newspaper
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/11250/2686804
https://doi.org/10.1016/j.marpolbul.2020.111685
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spelling 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
institution Open Polar
collection Institute for Marine Research: Brage IMR
op_collection_id 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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