Modelling the hydrodynamic conditions associated with Dinophysis blooms in Galicia (NW Spain)

Ruiz-Villarreal, Manuel; García-García, L.; Cobas, Marcos; Díaz, Patricio A.; Reguera, B.

doi:10.1016/j.hal.2015.12.003

Cited by 40 publications

(43 citation statements)

References 27 publications

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“…Finally, we should note that circulation models are able to describe the response of shelf stratification and along-and acrossshore transport to variations in atmospheric and tidal forcing (Ruiz-Villarreal et al, 2016), factors that we have identified in this work as drivers of interannual variability in Dinophysis acuta populations. Therefore, circulation model outputs combined with D. acuta reports from its epicentre area in Portugal, would make it possible (a) to use hindcast simulations of interannual variability of oceanographic conditions to study D. acuta ecology and (b) develop predictive simulations on the variability of oceanographic conditions that might serve as early warning of D. acuta events.…”

Section: Statistical Models and Implications For Predictive Capabilitiesmentioning

confidence: 81%

Climate variability and Dinophysis acuta blooms in an upwelling system

et al. 2016

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Dinophysis acuta is a frequent seasonal lipophilic toxin producer in European Atlantic coastal waters associated with thermal stratification. In the Galician Rías, populations of D. acuta with their epicentre located off Aveiro (northern Portugal), typically co-occur with and follow those of Dinophysis acuminata during the upwelling transition (early autumn) as a result of longshore transport. During hotter than average summers, D. acuta blooms also occur in August in the Rías, when they replace D. acuminata. Here we examined a 30-year (1985-2014) time series of D. acuta from samples collected by the same method in the Galician Rías. Our main objective was to identify patterns of distribution and their relation with climate variability, and to explain the exceptional summer blooms of D. acuta in 1989-1990. A dome-shaped relationship was found between summer upwelling intensity and D. acuta blooms; cell maxima were associated with conditions where the balance between upwelling intensity and heating, leading to deepened thermoclines, combined with tidal phase (3 days after neap tides) created windows of opportunity for this species. The application of a generalized additive model based on biological (D. acuta inoculum) and environmental predictors (Cumulative June-August upwelling CUI, average June-August SST and tidal range) explained more than 70% of the deviance for the exceptional summer blooms of D. acuta, through a combination of moderate (35,000-50,000mskm) summer upwelling (CUI), thermal stratification (SST>17°C) and moderate tidal range (∼2.5m), provided D. acuta cells (inoculum) were present in July. There was no evidence of increasing trends in D. acuta bloom frequency/intensity nor a clear relationship with NAO or other long-term climatic cycles. Instead, the exceptional summer blooms of 1989-1990 appeared linked to extreme hydroclimatic anomalies (high positive anomalies in SST and NAO index), which affected most of the European Atlantic coast.

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Section: Statistical Models and Implications For Predictive Capabilitiesmentioning

confidence: 81%

Climate variability and Dinophysis acuta blooms in an upwelling system

et al. 2016

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“…In addition, D. acuta blooms may persist until late autumn (November), when the phytoplankton biomass is very low. In these circumstances, the scarcity of food goes associated with longer depuration time of the contaminated shellfish, and the worst economic scenario for shellfish growers (i.e., shellfish harvesting closure during the peak sales season in Christmas; Ruiz-Villarreal et al 2016).…”

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confidence: 99%

Comparative ecophysiology of Dinophysis acuminata and D. acuta (DINOPHYCEAE, DINOPHYSIALES): effect of light intensity and quality on growth, cellular toxin content, and photosynthesis

García-Portela

Riobó²,

Reguera

et al. 2018

Journal of Phycology

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Dinoflagellates of the genus Dinophysis are the most persistent producers of lipophilic shellfish toxins in Western Europe. Their mixotrophic nutrition requires a food chain of cryptophytes and plastid‐bearing ciliates for sustained growth and photosynthesis. In this study, cultures of D. acuminata and D. acuta, their ciliate prey Mesodinium rubrum and the cryptophyte, Teleaulax amphioxeia, were subject to three experimental settings to study their physiological response to different combinations of light intensity and quality. Growth rates, pigment analyses (HPLC), photosynthetic parameters (PAM‐fluorometry), and cellular toxin content (LC‐MS) were determined. Specific differences in photosynthetic parameters were observed in Dinophysis exposed to different photon fluxes (10–650 μmol photons · m−2 · s−1), light quality (white, blue and green), and shifts in light regime. Dinophysis acuta was more susceptible to photodamage under high light intensities (370–650 μmol photons · m−2 · s−1) than D. acuminata but survived better with low light (10 μmol photons · m−2 · s−1) and to a prolonged period (28 d) of darkness. Mesodinium rubrum and T. amphioxeia showed their maximal growth rate and yield under white and high light whereas Dinophysis seemed better adapted to grow under green and blue light. Toxin analyses in Dinophysis showed maximal toxin per cell under high light after prey depletion at the late exponential‐plateau phase. Changes observed in photosynthetic light curves of D. acuminata cultures after shifting light conditions from low intensity‐blue light to high intensity‐white light seemed compatible with photoacclimation in this species. Results obtained here are discussed in relation to different spatiotemporal distributions observed in field populations of D. acuminata and D. acuta in northwestern Iberia.

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“…The operational models can be integrated with a LPTM in the form of offline or online linkage approach. A major benefit of offline linkage approach is the possibility of making use of available operational models outputs for running LPTM experiments, avoiding computational costs of re-running the physics coupled to the Lagrangian module [7,16]. Secondly, it can also provide a convenience of developing an interactive GIS environment to run an LPTM.…”

Section: Model Descriptionsmentioning

confidence: 99%

“…Most of all, both remote sensing and in situ observation present limitations in providing HAB trajectories' predictions. Given the constraints of satellite imagery and field observations' methods, an alternative solution is to adopt numerical modeling technique to meet the demands of forecasting the spatial and temporal evolution of HABs [7]. Compared with the observational and remote sensing approaches, numerical modeling can provide a general understanding and trends of the transport and dispersion of HABs at high spatial and temporal scale with a significantly lower cost.…”

Section: Introductionmentioning

confidence: 99%

“…Because of requiring only a few inputs, the physical-based models are considered as the most effective and practical method. By contrast, most of the ecosystem based models present enormous difficulties beyond physics, which generally require a lot of inputs, making the models fuzzy and difficult to implement [6][7][8]. Lynch et al pointed out that simulations are typically chosen to fit field problems and available data [9], and some valuable research works have highlighted that the physical-based Lagrangian particle-tracking model (LPTM) are sufficient to predict HAB trajectories [8].…”

Section: Introductionmentioning

confidence: 99%

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Integration of GIS and a Lagrangian Particle-Tracking Model for Harmful Algal Bloom Trajectories Prediction

Qin

Lin

2019

Water

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Harmful algal bloom (HAB) is a major environmental problem in coastal waters around the world. The technologies and approaches for short-term forecasting of the HABs trajectories have obtained increasing attention from researchers. In this paper, we present a straightforward physical-based model based on a non-Fickian Lagrangian particle-tracking scheme for understanding the movement of detected HABs. The model adopts the fractional Brownian motion (fBm) technology, and is coupled with the Delft3D and WRF models and GIS. The fBm based Lagrangian particle-tracking model can flexibly control the scale of the particle clouds diffusion through Hurst value, which can be used to account for uncertainties and adjust for better representing the trajectories of HABs. Simulation results demonstrate that the presented model can successfully predict the trends and the main features of red tide drifting. The developed simulation tool enables users to create the model configuration, manage data inputs, run the model, and generate model maps and animations within a GIS environment. It is believed that the model and the tool outlined herein can be very useful for rapidly evaluating potential areas at risk from the HABs events.

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Modelling the hydrodynamic conditions associated with Dinophysis blooms in Galicia (NW Spain)

Cited by 40 publications

References 27 publications

Climate variability and Dinophysis acuta blooms in an upwelling system

Climate variability and Dinophysis acuta blooms in an upwelling system

Comparative ecophysiology of Dinophysis acuminata and D. acuta (DINOPHYCEAE, DINOPHYSIALES): effect of light intensity and quality on growth, cellular toxin content, and photosynthesis

Integration of GIS and a Lagrangian Particle-Tracking Model for Harmful Algal Bloom Trajectories Prediction

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