Climate Variability and Oceanographic Settings Associated with Interannual Variability in the Initiation of Dinophysis acuminata Blooms
|Author(s)||Diaz Patricio A.1, Reguera Beatriz1, Ruiz-Villarreal Manuel2, Pazos Yolanda3, Velo-Suarez Lourdes4, Berger Henrick4, Sourisseau Marc4|
|Affiliation(s)||1 : Spanish Inst Oceanog IEO, Oceanog Ctr Vigo, Vigo 36390, Spain.
2 : Spanish Inst Oceanog IEO, Oceanog Ctr A Coruna, La Coruna 15001, Spain.
3 : Technol Ctr Control Marine Environm Galicia INTEC, Vilagarcia De Arousa 36611, Pontevedra, Spain.
4 : French Res Inst Exploitat Sea IFREMER, Ctr Brest, F-29280 Plouzane, France.
|Source||Marine Drugs (1660-3397) (Mdpi Ag), 2013-08 , Vol. 11 , N. 8 , P. 2964-2981|
|WOS© Times Cited||35|
|Keyword(s)||Dinophysis acuminata, climate variability, upwelling patterns, river plumes, exceptional algal blooms, predictive models|
|Abstract||In 2012, there were exceptional blooms of D. acuminata in early spring in what appeared to be a mesoscale event affecting Western Iberia and the Bay of Biscay. The objective of this work was to identify common climatic patterns to explain the observed anomalies in two important aquaculture sites, the Galician R as Baixas (NW Spain) and Arcachon Bay (SW France). Here, we examine climate variability through physical-biological couplings, Sea Surface Temperature (SST) anomalies and time of initiation of the upwelling season and its intensity over several decades. In 2012, the mesoscale features common to the two sites were positive anomalies in SST and unusual wind patterns. These led to an atypical predominance of upwelling in winter in the Galician R as, and increased haline stratification associated with a southward advection of the Gironde plume in Arcachon Bay. Both scenarios promoted an early phytoplankton growth season and increased stability that enhanced D. acuminata growth. Therefore, a common climate anomaly caused exceptional blooms of D. acuminata in two distant regions through different triggering mechanisms. These results increase our capability to predict intense diarrhetic shellfish poisoning outbreaks in the early spring from observations in the preceding winter.|