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The role of wind in controlling the connectivity of blue mussels (Mytilus edulis L.) populations

BACKGROUND: Larval connectivity between distinct benthic populations is essential for their persistence. Although connectivity is difficult to measure in situ, it can be predicted via models that simulate biophysical interactions between larval behaviour and ocean currents. The blue mussel (Mytilus...

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Autores principales: Demmer, Jonathan, Robins, Peter, Malham, Shelagh, Lewis, Matthew, Owen, Aaron, Jones, Trevor, Neill, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8783501/
https://www.ncbi.nlm.nih.gov/pubmed/35063034
http://dx.doi.org/10.1186/s40462-022-00301-0
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author Demmer, Jonathan
Robins, Peter
Malham, Shelagh
Lewis, Matthew
Owen, Aaron
Jones, Trevor
Neill, Simon
author_facet Demmer, Jonathan
Robins, Peter
Malham, Shelagh
Lewis, Matthew
Owen, Aaron
Jones, Trevor
Neill, Simon
author_sort Demmer, Jonathan
collection PubMed
description BACKGROUND: Larval connectivity between distinct benthic populations is essential for their persistence. Although connectivity is difficult to measure in situ, it can be predicted via models that simulate biophysical interactions between larval behaviour and ocean currents. The blue mussel (Mytilus Edulis L.) is widespread throughout the northern hemisphere and extensively commercialised worldwide. In the Irish Sea, this industry represents ~ 50% of Welsh shellfisheries, where cultivation is mainly based on wild spat. However, the main sources and amount of spat varied interannually (1100 tonnes harvest in 2014 against zero in 2018). The aim of this study is to characterise the structure and dynamics of the blue mussel metapopulation within the northern part of the Irish Sea. METHODS: We develop a Lagrangian particle tracking model, driven by a high-resolution (from 30 to 5000 m) validated unstructured coastal hydrodynamic model of the Irish Sea, to simulate spatial and temporal variability of larval dispersal and connectivity between distinct mussel populations and potential settlement areas. RESULTS: Our results showed that: (1) larvae positioned near the surface were strongly influenced by wind-driven currents suggesting that connectivity networks had the potential to span hundreds of kilometres; (2) in contrast, larvae positioned deeper in the water column were driven by tidal currents, producing intricate spatial patterns of connectivity between mussel beds over tens of kilometres that were consistent over time. CONCLUSIONS: Dispersal of mussel larvae in the tidally energetic Irish Sea during the April–May spawning season is potentially driven by wind-driven surface currents, as confirmed by fisherman observations of inter-annual variability in wild spat collection. These results have important implications for metapopulation dynamics within the context of climate change and sustainable shellfisheries management (i.e. gain and loss of populations and harvest areas according to wind conditions). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40462-022-00301-0.
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spelling pubmed-87835012022-01-24 The role of wind in controlling the connectivity of blue mussels (Mytilus edulis L.) populations Demmer, Jonathan Robins, Peter Malham, Shelagh Lewis, Matthew Owen, Aaron Jones, Trevor Neill, Simon Mov Ecol Research BACKGROUND: Larval connectivity between distinct benthic populations is essential for their persistence. Although connectivity is difficult to measure in situ, it can be predicted via models that simulate biophysical interactions between larval behaviour and ocean currents. The blue mussel (Mytilus Edulis L.) is widespread throughout the northern hemisphere and extensively commercialised worldwide. In the Irish Sea, this industry represents ~ 50% of Welsh shellfisheries, where cultivation is mainly based on wild spat. However, the main sources and amount of spat varied interannually (1100 tonnes harvest in 2014 against zero in 2018). The aim of this study is to characterise the structure and dynamics of the blue mussel metapopulation within the northern part of the Irish Sea. METHODS: We develop a Lagrangian particle tracking model, driven by a high-resolution (from 30 to 5000 m) validated unstructured coastal hydrodynamic model of the Irish Sea, to simulate spatial and temporal variability of larval dispersal and connectivity between distinct mussel populations and potential settlement areas. RESULTS: Our results showed that: (1) larvae positioned near the surface were strongly influenced by wind-driven currents suggesting that connectivity networks had the potential to span hundreds of kilometres; (2) in contrast, larvae positioned deeper in the water column were driven by tidal currents, producing intricate spatial patterns of connectivity between mussel beds over tens of kilometres that were consistent over time. CONCLUSIONS: Dispersal of mussel larvae in the tidally energetic Irish Sea during the April–May spawning season is potentially driven by wind-driven surface currents, as confirmed by fisherman observations of inter-annual variability in wild spat collection. These results have important implications for metapopulation dynamics within the context of climate change and sustainable shellfisheries management (i.e. gain and loss of populations and harvest areas according to wind conditions). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40462-022-00301-0. BioMed Central 2022-01-21 /pmc/articles/PMC8783501/ /pubmed/35063034 http://dx.doi.org/10.1186/s40462-022-00301-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Demmer, Jonathan
Robins, Peter
Malham, Shelagh
Lewis, Matthew
Owen, Aaron
Jones, Trevor
Neill, Simon
The role of wind in controlling the connectivity of blue mussels (Mytilus edulis L.) populations
title The role of wind in controlling the connectivity of blue mussels (Mytilus edulis L.) populations
title_full The role of wind in controlling the connectivity of blue mussels (Mytilus edulis L.) populations
title_fullStr The role of wind in controlling the connectivity of blue mussels (Mytilus edulis L.) populations
title_full_unstemmed The role of wind in controlling the connectivity of blue mussels (Mytilus edulis L.) populations
title_short The role of wind in controlling the connectivity of blue mussels (Mytilus edulis L.) populations
title_sort role of wind in controlling the connectivity of blue mussels (mytilus edulis l.) populations
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8783501/
https://www.ncbi.nlm.nih.gov/pubmed/35063034
http://dx.doi.org/10.1186/s40462-022-00301-0
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