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Monitoring algae can prevent fish losses

Monitoring algae can prevent fish losses

Published 18 September 2017

A new simulation tool may prevent damage to fish during delousing.

Picture of fish in the ocean

Delousing can be a stressful process for farmed fish. It has now been demonstrated that algal concentrations in the water play an important role. Illustration: NTNU.

DELOUSING: High algal concentrations during delousing may increase stress because the algae, among other things, can obstruct the fishes' gills.

Plankton occurrences are currently monitored using fresh seawater samples. The samples provide information about the numbers and diversity of algae species. The problem is that this requires effective logistics and is quite time-consuming. For this reason, the researchers here have developed a new tool that can provide more effective warnings of the presence of algal blooms.

"Our tool works in a similar way to meteorological simulations", says Ingrid Ellingsen, who is a Senior Researcher at SINTEF Ocean. "With the assistance of computer software, we can provide rapid warnings of algal blooms in any given area", she says.

This summer, a fish farm facility found out that high algal concentrations during delousing can have fatal consequences. The presence of algae, in combination with hydrogen peroxide treatments, was almost certainly responsible for the death of 38,000 fish at the Gratanglaks and Kleiva Fiskefarm facilities in Sør-Troms in northern Norway.

Satellite images taken at the time show the presence of algal blooms along the coasts of Nordland and Troms counties, and samples taken from the area and analysed by SINTEF also show high concentrations of the species Emiliana huxleyi and other flagellates. The problem was that this information did not become available until some days after the fatal incident. Use of the simulation tool would have enabled a warning to be issued before it was too late.

The model provides continuous notifications of algal blooms along the Norwegian coast. The tool requires further development, and researchers are hoping that it will be of interest to the aquaculture sector.

An operational simulation model incorporating a biological module has been set up and is being developed as part of the ENTiCE project (http://www.sinmod.no/operative_fs.php).

The model exhibits high resolution along the Trøndelag coast, although resolution along the rest of the Norwegian Sea coast is somewhat coarser.

"The example from Troms demonstrates that model-based warnings can be useful tools in the monitoring of algal concentrations in coastal waters", explains SINTEF researcher Kristine B. Steinhovden. "For example, the combination of model-derived and satellite data will enable us to provide information about when and where seawater samples should be taken for analysis, especially in connection with planned operations involving farmed fish", she says.

Read the Norwegian broadcaster NRK's report here

Senior Research Scientist