New tool to predict algal blooms
HABs are periodic and unpredictable explosions of microscopic algae, often close to the coast. They are associated with toxicity in shellfish as well as large-scale fish die-offs — both of which result in major economic losses. The EU-funded 'Applied simulations and integrated modeling for the understanding of toxic and harmful algal blooms' (ASIMUTH) project used different data sources to produce a HAB forecasting tool for aquaculture. Project members first surveyed fish and shellfish farmers in European coastal regions to understand their needs. The principal finding was that two to three days' warning of an impending HAB would have a major benefit for these farmers. Researchers then used a collection of satellite and modelling data to construct a HAB forecasting tool. They incorporated ocean, geophysical, biological and toxicity data to build a near-real-time warning system. This took the form of a web portal, an SMS alert system for farmers and a smartphone app. The web portal is curated and maintained by scientists in each country participating in ASIMUTH (France, Ireland, Portugal, Scotland and Spain). The forecasting system was tested successfully by farmers during the project. A business plan was also compiled to ensure that ASIMUTH continues to provide this valuable service to the aquaculture sector.
Keywords
Early warning system, harmful algal blooms, aquaculture, shellfish, forecasting tool, coastal regions