Artificial neural network approach to population dynamics of harmful algal blooms in Alfacs Bay (NW Mediterranean): Case studies of Karlodinium and Pseudo-nitzschia

Carles Guallar, Maximino Delgado, Jorge Diogène and Margarita Fernández-Tejedor

Ecological Modelling, 2016, vol. 338, issue C, 37-50

Abstract: The dinoflagellate Karlodinium and the diatom Pseudo-nitzschia are bloom-forming genera frequently present in Alfacs Bay. Both microalgae are associated with toxic events. Therefore, understanding their population dynamics and predict their occurrence in short-term is crucial for an optimal management of toxic events for the local shellfish production and ecosystem managers.

Keywords: Pseudo-nitzschia; Karlodinium; Forecast; Artificial neural networks; Harmful algae; Long time-series (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:338:y:2016:i:c:p:37-50

DOI: 10.1016/j.ecolmodel.2016.07.009

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