FN Archimer Export Format PT J TI Potential environmental drivers of a regional blue mussel mass mortality event (winter 2014, Breton Sound, France) BT AF POLSENAERE, Pierre SOLETCHNIK, Patrick LE MOINE, Olivier GOHIN, Francis ROBERT, Stephane PEPIN, Jean-Francois STANISIERE, Jean-Yves DUMAS, Franck BECHEMIN, Christian GOULLETQUER, Philippe AS 1:1;2:2;3:2;4:3;5:2;6:2;7:4;8:5;9:6;10:7; FF 1:PDG-ODE-LITTORAL-LERPC;2:PDG-ODE-LITTORAL-LERPC;3:PDG-ODE-LITTORAL-LERPC;4:PDG-ODE-DYNECO-PELAGOS;5:PDG-ODE-LITTORAL-LERPC;6:PDG-ODE-LITTORAL-LERPC;7:PDG-ODE-LITTORAL-LERMPL;8:PDG-ODE-DYNECO-DHYSED;9:PDG-RBE-SG2M-LGPMM;10:PDG-DS; C1 IFREMER, LER PC, BP7, F-17137 Lhoumeau, France. IFREMER, LER PC, BP133, F-17390 La Tremblade, France. IFREMER, DYNam Environm Ecosyst COtiers DYNECO PELAGOS, BP70, F-29280 Plouzane, France. IFREMER, LER MPL, BP86, F-56470 La Trinite Sur Mer, France. IFREMER, DYNam Ecosyst COtiers DYNECO DHYSED, BP70, F-29280 Plouzane, France. IFREMER, Lab Genet & Pathol Mollusques Marins, SG2M LGPMM, F-17390 La Tremblade, France. IFREMER, Direct Sci, BP21105, F-44311 Nantes, France. C2 IFREMER, FRANCE IFREMER, FRANCE IFREMER, FRANCE IFREMER, FRANCE IFREMER, FRANCE IFREMER, FRANCE IFREMER, FRANCE SI LA ROCHELLE LA TREMBLADE BREST LA TRINITE NANTES SE PDG-ODE-LITTORAL-LERPC PDG-ODE-DYNECO-PELAGOS PDG-ODE-LITTORAL-LERMPL PDG-ODE-DYNECO-DHYSED PDG-RBE-SG2M-LGPMM PDG-DS IN WOS Ifremer jusqu'en 2018 IF 1.729 TC 23 UR https://archimer.ifremer.fr/doc/00376/48708/49083.pdf LA English DT Article DE ;Mytilus edulis mortalities;Climate change;Breton sound;Long-term monitoring;Hydrodynamic modelling;Vibriosis AB In the context of global change, increasing mariculture production has raised particular concerns regarding its environmental impact and sustainability. Molluscs and particularly blue mussel account for a significant part of this total production. Although blue mussels are considered as pretty resilient to environmental disturbances, we report in this study an unprecedented mussel mortality event that occurred during the winter 2014 in the Breton Sound. 9000 metric tonnes of mussels were lost and mortality rates up to 100% were recorded at some farming areas. Through a coupling approach, the present work aimed to better understand the potential environmental drivers associated to those mortalities. Firstly we analysed long-term in situ and satellite data from environmental monitoring networks (available since 1998) to characterize the variability of seawater masses of the sound during the winter of 2014. Secondly we used modelling simulations to study the possible relationship between seawater hydrodynamics and observed spatio-temporal patterns of mussel mortalities. From January to April 2014 at the long-line culture site where mortalities started, seawater temperatures ranged from 8.3 to 13.3 °C (10.2 ± 0.8 °C). Salinity and turbidity values showed successive and short drops (below 16; 29.3 ± 2.3) and numerous peaks (above 70 NTU; 17.4 ± 13.4 NTU) respectively. Winter conditions of 2014 were encountered along the entire French Atlantic coastline and linked to the sixth highest positive North Atlantic Oscillation (NAO +) index computed since 1865. These particular environmental variations characterized the winter of 2014 but also others whereas no comparable mussel mortality rates were reported. Exact causes of the 2014 mortality event are still unknown but we showed these environmental variations could not alone be responsible. These likely affected the sensitivity of the blue mussel populations that were already weakened by early spawning. Meanwhile, these may have facilitated the apparition of a pathogenic strain of Vibrio splendidus isolated on moribund mussels at that time. Our modelling simulations suggested that this pathogenic strain could spread through hydrodynamic patterns and drove the observed mussel mortalities. If repeated over the coming years particularly under climate change, mussel mass mortality events could question about the resilience of this species. PY 2017 PD MAY SO Journal Of Sea Research SN 1385-1101 PU Elsevier Science Bv VL 123 UT 000401374900004 BP 39 EP 50 DI 10.1016/j.seares.2017.03.005 ID 48708 ER EF