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Harmful Algae
Article
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Harmful Algae
Article . 2016 . Peer-reviewed
License: Elsevier TDM
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https://pubmed.ncbi.nlm.nih.go...
Other literature type . 2018
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Forecasting the risk of harmful algal blooms

Authors: Davidson, Keith; Anderson, Donald M.; Mateus, Marcos; Reguera, Beatriz; Silke, Joe; Sourisseau, Marc; Maguire, Julie;

Forecasting the risk of harmful algal blooms

Abstract

The "Applied Simulations and Integrated Modelling for the Understanding of Harmful Algal Blooms" (Asimuth) project sought to develop a harmful algal bloom (HAB) alert system for Atlantic Europe. This was approached by combining, at a national or regional level, regulatory monitoring phytoplankton and biotoxin data with satellite remote sensing and other information on current marine conditions, coupled with regional scale models that included a representation of HAB transport. Synthesis of these products was achieved by expert interpretation within HAB risk alert bulletins that were prepared on a regular basis (typically weekly) for use by the aquaculture industry. In this preface to the Asimuth Special Issue we outline the main HAB species of concern in the region and the strengths and limitations of different methodologies to provide early warning of their blooms.

Country
France
Keywords

[SDV] Life Sciences [q-bio], Europe, Risk, Harmful Algal Bloom, Atlantic Ocean, Environmental Monitoring, Forecasting

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
117
Top 1%
Top 10%
Top 10%
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bronze