A review of recent machine learning advances for forecasting harmful algal blooms and shellfish contamination

RC Cruz, P Reis Costa, S Vinga, L Krippahl… - Journal of Marine …, 2021 - mdpi.com
Harmful algal blooms (HABs) are among the most severe ecological marine problems
worldwide. Under favorable climate and oceanographic conditions, toxin-producing …

Harmful Dinophysis species: A review

B Reguera, L Velo-Suarez, R Raine, MG Park - Harmful Algae, 2012 - Elsevier
Several dinoflagellate species of the cosmopolitan genus Dinophysis produce potent
lipophilic shellfish toxins (okadaic acid, its derivatives and the pectenotoxins) and pose a …

Red tide time series forecasting by combining ARIMA and deep belief network

M Qin, Z Li, Z Du - Knowledge-Based Systems, 2017 - Elsevier
The red tide occurs frequently in recent years. The process of the growth, reproduction,
extinction of the red tide algal has a complex nonlinear relationship with the environmental …

Trends in Ostreopsis proliferation along the Northern Mediterranean coasts

L Mangialajo, N Ganzin, S Accoroni, V Asnaghi… - Toxicon, 2011 - Elsevier
Harmful benthic microalgae blooms represent an emergent phenomenon in temperate
zones, causing health, ecological and economic concern. The main goal of this work was to …

Current status of forecasting toxic harmful algae for the north-east Atlantic shellfish aquaculture industry

JA Fernandes-Salvador, K Davidson… - Frontiers in Marine …, 2021 - frontiersin.org
Across the European Atlantic Arc (Scotland, Ireland, England, France, Spain, and Portugal)
the shellfish aquaculture industry is dominated by the production of mussels, followed by …

Living with harmful algal blooms in a changing world: strategies for modeling and mitigating their effects in coastal marine ecosystems

CR Anderson, SK Moore, MC Tomlinson, J Silke… - Coastal and marine …, 2015 - Elsevier
Harmful algal blooms (HABs) are extreme biological events with the potential for extensive
negative impacts to fisheries, coastal ecosystems, public health, and coastal economies. In …

Current and future remote sensing of harmful algal blooms in the Chesapeake Bay to support the shellfish industry

JL Wolny, MC Tomlinson, S Schollaert Uz… - Frontiers in Marine …, 2020 - frontiersin.org
Harmful algal bloom (HAB) species in the Chesapeake Bay can negatively impact fish,
shellfish, and human health via the production of toxins and the degradation of water quality …

[HTML][HTML] Forecasting harmful algae blooms: Application to Dinophysis acuminata in northern Norway

E Silva, F Counillon, J Brajard, LH Pettersson… - Harmful Algae, 2023 - Elsevier
Abstract Dinophysis acuminata produces Diarrhetic Shellfish Toxins (DST) that contaminate
natural and farmed shellfish, leading to public health risks and economically impacting …

An optimization of artificial neural network model for predicting chlorophyll dynamics

W Tian, Z Liao, J Zhang - Ecological Modelling, 2017 - Elsevier
As one of the factors to represent some species of algae, chlorophyll dynamics model has
been regarded as one of the early-warning proactive approaches to prevent or mitigate the …

[HTML][HTML] Forecasting biotoxin contamination in mussels across production areas of the Portuguese coast with Artificial Neural Networks

RC Cruz, PR Costa, L Krippahl, MB Lopes - Knowledge-Based Systems, 2022 - Elsevier
Harmful algal blooms (HABs) and the consequent contamination of shellfish are complex
processes depending on several biotic and abiotic variables, turning prediction of shellfish …