Modelling larval dispersal of Pecten maximus in the English Channel: a tool for the spatial management of the stocks
|Author(s)||Nicolle Amandine1, 2, Moitie Roderic1, Ogor Julien1, 2, Dumas Franck3, Foveau Aurelie4, Foucher Eric5, Thiebaut Eric2|
|Affiliation(s)||1 : ENSTA Bretagne, Pole STIC OSM, 2 Rue Francois Verny, F-29806 Brest 9, France.
2 : UPMC Univ Paris 06, Stn Biol Roscoff, Adaptat & Diversite Milieu Marin, Sorbonne Univ,CNRS,UMR 7144, Pl Georges Teissier,CS 90074, F-29688 Roscoff, France.
3 : DOPS, REC, HOM, SHOM, 13 Rue Chatellier, F-29228 Brest 2, France.
4 : CRESCO IFREMER, Lab Environm Littoral & Ressources Aquacoles Fini, BP 70134, F-35801 Dinard, France.
5 : IFREMER, Lab Ressources Halieut, Ave Gen Gaulle,BP 32, F-14520 Port En Bessin, France.
|Source||Ices Journal Of Marine Science (1054-3139) (Oxford Univ Press), 2017-07 , Vol. 74 , N. 6 , P. 1812-1825|
|WOS© Times Cited||5|
|Keyword(s)||connectivity, English Channel, fishery management, great scallop, larval dispersal, particle-tracking model|
|Abstract||The great scallop Pecten maximus supports one of the most important and valuable commercial fisheries around the British Isles and in the northwest of France, but the resource is mainly managed at the scale of each local fishing ground through a combination of European, national and local measures. To analyse the larval dispersal pathways and connectivity patterns among fishing grounds of the great scallop in the Celtic Sea and the English Channel, a particle tracking model was developed. The model combined a 3D physical circulation model that simulated currents and temperature fields and a scallop larval submodel that took into account a temperature-dependent planktonic larval duration and an active vertical swimming behaviour. Due to the lack of stock assessment at the regional scale, the location of the main fishing grounds was established by combining different sources (e.g. grey literature, unpublished scientific surveys, vessel monitoring data, fishermen) while the spawning biomass of each stock was estimated from landings data. Results indicated that each local stock could not be considered as a single independent management unit and that all stocks except that of the Bay of Brest were connected to neighbouring stocks, suggesting that the management should be defined in a metapopulation context. Three major groups of strongly interconnected stocks including two or three stocks exhibiting high retention and self-recruitment rates and some peripheral stocks with a low self-recruitment rate were defined: the North Brittany and Channel Islands, the eastern English Channel, and the SW of England. Our results were discussed in terms of the definition of management units in comparison with genetic and phenotypic data, and in terms of resource management in a transnational context.|