Literature DB >> 35063034

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

Jonathan Demmer1, Peter Robins2, Shelagh Malham2, Matthew Lewis2, Aaron Owen3, Trevor Jones4, Simon Neill2.   

Abstract

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).
© 2022. The Author(s).

Entities:  

Keywords:  Blue mussels; Connectivity; Irish Sea; Lagrangian particle tracking; Larval dispersal; Ocean model

Year:  2022        PMID: 35063034      PMCID: PMC8783501          DOI: 10.1186/s40462-022-00301-0

Source DB:  PubMed          Journal:  Mov Ecol        ISSN: 2051-3933            Impact factor:   3.600


  15 in total

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Authors:  Henry S Carson; Geoffrey S Cook; Paola C López-Duarte; Lisa A Levin
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3.  Seasonal and geographical variations in the biochemical composition of the blue mussel (Mytilus edulis L.) from Ireland.

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4.  Complex larval connectivity patterns among marine invertebrate populations.

Authors:  Bonnie J Becker; Lisa A Levin; F Joel Fodrie; Pat A McMillan
Journal:  Proc Natl Acad Sci U S A       Date:  2007-02-20       Impact factor: 11.205

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Authors:  Søren Faurby; Paul H Barber
Journal:  Mol Ecol       Date:  2012-05-10       Impact factor: 6.185

6.  Influence of seasonal circulation on flushing of the Irish Sea.

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8.  When time affects space: Dispersal ability and extreme weather events determine metacommunity organization in marine sediments.

Authors:  Guilherme N Corte; Thiago Gonçalves-Souza; Helio H Checon; Eduardo Siegle; Ross A Coleman; A Cecília Z Amaral
Journal:  Mar Environ Res       Date:  2018-02-20       Impact factor: 3.130

9.  The ecology of Mytilus edulis L. (Lamellibranchiata) on exposed rocky shores : I. Breeding and settlement.

Authors:  R Seed
Journal:  Oecologia       Date:  1969-09       Impact factor: 3.225

10.  The Role of Ekman Currents, Geostrophy, and Stokes Drift in the Accumulation of Floating Microplastic.

Authors:  Victor Onink; David Wichmann; Philippe Delandmeter; Erik van Sebille
Journal:  J Geophys Res Oceans       Date:  2019-03-06       Impact factor: 3.405

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1.  Genetic and particle modelling approaches to assessing population connectivity in a deep sea lobster.

Authors:  Aimee L van der Reis; Craig R Norrie; Andrew G Jeffs; Shane D Lavery; Emma L Carroll
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