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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2023
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Online Access: | https://doi.org/10.3389/fmars.2023.1236294 https://doaj.org/article/d5b3db6b2ee84092b55c0a2ec398c981 |
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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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1778137386792779776 |