Modeling particulate waste assimilation by blue mussels within the spatial constraints of a commercial fish farm: implications for multitrophic aquaculture

Commercial salmonid farming is typically performed in open-water net cages where interactions between the environment and production unit might be widespread and not easily predicted or controlled. Integrated multi-trophic aquaculture (IMTA) has been suggested to mitigate some of the environmental i...

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Published in:Frontiers in Marine Science
Main Authors: Gunnvør á Norði, Ivar Lund, Birgitta Andreasen, Daniel Taylor, Tróndur T. Johannesen, Bjartur Jacobsen, Adam D. Hughes
Format: Article in Journal/Newspaper
Language:English
Published: Frontiers Media S.A. 2023
Subjects:
Q
Online Access:https://doi.org/10.3389/fmars.2023.1236294
https://doaj.org/article/d5b3db6b2ee84092b55c0a2ec398c981
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spelling ftdoajarticles:oai:doaj.org/article:d5b3db6b2ee84092b55c0a2ec398c981 2023-09-26T15:16:13+02:00 Modeling particulate waste assimilation by blue mussels within the spatial constraints of a commercial fish farm: implications for multitrophic aquaculture Gunnvør á Norði Ivar Lund Birgitta Andreasen Daniel Taylor Tróndur T. Johannesen Bjartur Jacobsen Adam D. Hughes 2023-08-01T00:00:00Z https://doi.org/10.3389/fmars.2023.1236294 https://doaj.org/article/d5b3db6b2ee84092b55c0a2ec398c981 EN eng Frontiers Media S.A. https://www.frontiersin.org/articles/10.3389/fmars.2023.1236294/full https://doaj.org/toc/2296-7745 2296-7745 doi:10.3389/fmars.2023.1236294 https://doaj.org/article/d5b3db6b2ee84092b55c0a2ec398c981 Frontiers in Marine Science, Vol 10 (2023) IMTA particulate waste blue mussels Atlantic salmon modelling spatial setup Science Q General. Including nature conservation geographical distribution QH1-199.5 article 2023 ftdoajarticles https://doi.org/10.3389/fmars.2023.1236294 2023-08-27T00:34:33Z Commercial salmonid farming is typically performed in open-water net cages where interactions between the environment and production unit might be widespread and not easily predicted or controlled. Integrated multi-trophic aquaculture (IMTA) has been suggested to mitigate some of the environmental impacts. Based on empirical data, the assimilation of particulate waste from a commercial fish farm was modeled by two approaches to salmon/blue mussel IMTA: a system with mussels at the surface next to the fish farm and an alternative setup with mussels submerged under the farm. According to the model, 15% of the feed was defecated and assumed available to the mussels and the submerged mussel farm could assimilate 14.6% of the feces. Sensitivity analysis showed that the current speed, the mussel filtration rate, and the proportion of the material that settles slowly had an impact on this assimilation estimate, which could be significantly higher. However, the model did not include assimilation limitations due to particle size, which may contribute significantly to the submerged farm. The mussel farm at the surface mainly received small slow settling particles, and according to the model, only 0.4% of the fish farm waste was assimilated. The maximum obtainable assimilation was 5.5%. The fraction of slowly settling waste had the most pronounced influence on waste assimilation in the mussel farm at the surface. This is also among the most uncertain parameters, since the relative portion of different settling velocities of fish feces is highly variable, and more information on the size distribution of waste is needed. Article in Journal/Newspaper Atlantic salmon Directory of Open Access Journals: DOAJ Articles Imta ENVELOPE(156.945,156.945,61.792,61.792) Frontiers in Marine Science 10
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic IMTA
particulate waste
blue mussels
Atlantic salmon
modelling
spatial setup
Science
Q
General. Including nature conservation
geographical distribution
QH1-199.5
spellingShingle IMTA
particulate waste
blue mussels
Atlantic salmon
modelling
spatial setup
Science
Q
General. Including nature conservation
geographical distribution
QH1-199.5
Gunnvør á Norði
Ivar Lund
Birgitta Andreasen
Daniel Taylor
Tróndur T. Johannesen
Bjartur Jacobsen
Adam D. Hughes
Modeling particulate waste assimilation by blue mussels within the spatial constraints of a commercial fish farm: implications for multitrophic aquaculture
topic_facet IMTA
particulate waste
blue mussels
Atlantic salmon
modelling
spatial setup
Science
Q
General. Including nature conservation
geographical distribution
QH1-199.5
description Commercial salmonid farming is typically performed in open-water net cages where interactions between the environment and production unit might be widespread and not easily predicted or controlled. Integrated multi-trophic aquaculture (IMTA) has been suggested to mitigate some of the environmental impacts. Based on empirical data, the assimilation of particulate waste from a commercial fish farm was modeled by two approaches to salmon/blue mussel IMTA: a system with mussels at the surface next to the fish farm and an alternative setup with mussels submerged under the farm. According to the model, 15% of the feed was defecated and assumed available to the mussels and the submerged mussel farm could assimilate 14.6% of the feces. Sensitivity analysis showed that the current speed, the mussel filtration rate, and the proportion of the material that settles slowly had an impact on this assimilation estimate, which could be significantly higher. However, the model did not include assimilation limitations due to particle size, which may contribute significantly to the submerged farm. The mussel farm at the surface mainly received small slow settling particles, and according to the model, only 0.4% of the fish farm waste was assimilated. The maximum obtainable assimilation was 5.5%. The fraction of slowly settling waste had the most pronounced influence on waste assimilation in the mussel farm at the surface. This is also among the most uncertain parameters, since the relative portion of different settling velocities of fish feces is highly variable, and more information on the size distribution of waste is needed.
format Article in Journal/Newspaper
author Gunnvør á Norði
Ivar Lund
Birgitta Andreasen
Daniel Taylor
Tróndur T. Johannesen
Bjartur Jacobsen
Adam D. Hughes
author_facet Gunnvør á Norði
Ivar Lund
Birgitta Andreasen
Daniel Taylor
Tróndur T. Johannesen
Bjartur Jacobsen
Adam D. Hughes
author_sort Gunnvør á Norði
title Modeling particulate waste assimilation by blue mussels within the spatial constraints of a commercial fish farm: implications for multitrophic aquaculture
title_short Modeling particulate waste assimilation by blue mussels within the spatial constraints of a commercial fish farm: implications for multitrophic aquaculture
title_full Modeling particulate waste assimilation by blue mussels within the spatial constraints of a commercial fish farm: implications for multitrophic aquaculture
title_fullStr Modeling particulate waste assimilation by blue mussels within the spatial constraints of a commercial fish farm: implications for multitrophic aquaculture
title_full_unstemmed Modeling particulate waste assimilation by blue mussels within the spatial constraints of a commercial fish farm: implications for multitrophic aquaculture
title_sort modeling particulate waste assimilation by blue mussels within the spatial constraints of a commercial fish farm: implications for multitrophic aquaculture
publisher Frontiers Media S.A.
publishDate 2023
url https://doi.org/10.3389/fmars.2023.1236294
https://doaj.org/article/d5b3db6b2ee84092b55c0a2ec398c981
long_lat ENVELOPE(156.945,156.945,61.792,61.792)
geographic Imta
geographic_facet Imta
genre Atlantic salmon
genre_facet Atlantic salmon
op_source Frontiers in Marine Science, Vol 10 (2023)
op_relation https://www.frontiersin.org/articles/10.3389/fmars.2023.1236294/full
https://doaj.org/toc/2296-7745
2296-7745
doi:10.3389/fmars.2023.1236294
https://doaj.org/article/d5b3db6b2ee84092b55c0a2ec398c981
op_doi https://doi.org/10.3389/fmars.2023.1236294
container_title Frontiers in Marine Science
container_volume 10
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