New models predict where toxic algae blooms will strike the Baltic Sea
Researchers have developed predictive tools to forecast toxic cyanobacteria blooms across the Baltic Sea under current and future climate conditions. The forecasting system could help fishing, aquaculture, and water management industries prepare for contamination risks as warming waters make blooms more frequent and unpredictable.
Originaltitel: Prediction of present and future spatial occurrence of cyanobacteria and the toxin nodularin in the Baltic Sea
Nodularin-giftiga cyanobakteriebloomer sprider sig nordöver i Östersjön fram mot 2100, vilket påverkar vattenkvalitet och dricksvattenförsörjning. Svenska forskare från Umeå universitet, SLU och SMHI förutspådde utbredningen av toxinproducenten Nodularia spumigena och nodularingiftet med hjälp av empirisk Bayesiansk kriging och artfördelingsmodellering. Modellerna integrerade uppmätta toxinkoncentrationer med miljövariabler som temperatur, salthet, näringsstatus och geografisk läge. Resultaten visar att högre toxinutbredning förväntas i Östergötlands djupa bäcken, Norra Östersjön, Ålandshav och södra Bottniska viken redan vid nutid, med expansion nordöver till 2100. Toxinfördelningen styrs av salthets-, temperatur- och näringsvechselverkan. För vattenförsörjare, baddplatsägare och miljömyndigheter blir detta väsentligt för långsiktig planering av vattenkvalitetsövervakning och anpassningsåtgärder mot värmare förhållanden.
<p>Blooms of filamentous cyanobacteria are recurrent phenomena in the brackish Baltic Sea. These blooms can contain toxin-producing strains. However, predicting and modeling the toxins spatial distribution poses great challenges. In addition, projected rising temperature due to climate change may increase the occurrence of cyanobacterial blooms, making it vital to understand the distribution of the blooms and the associated cyanotoxins. Herein, using a conceptual modeling setup, we integrated the measured concentration of the cyanotoxin nodularin, the abundance of the toxin producer Nodularia spumigena, and environmental variables using Empirical Bayesian Kriging (EBK) prediction, ensemble learning, and stacked species distribution modeling (SSDM). This conceptual modeling setup was used to predict and interpret the current and future area distribution of N. spumigena and nodularin across the Baltic Sea. Predictions were based on results from biogeochemical models describing current and projected future concentrations of near-surface chlorophyll, nitrate, phosphate, salinity, and temperature along with nitrate-to-phosphate ratio and the geographical variable distance to shore. Prediction for the future distribution was performed using projected climate change scenarios in the year 2100. Findings show that the predicted area distribution of nodularin is determined by concentrations and interaction effects of salinity, temperature, phosphate, nitrate-to-phosphate ratio, and distance to shore, and is associated with the predicted area distribution of N. spumigena. Predicted site distribution shows increased nodularin occurrences in the Eastern and Western Gotland Sea, the Northern Baltic Proper, southern parts of the Bothnian Sea, and the Arkona basin. By the year 2100, area distribution of nodularin is predicted to increase in the northern part of the Eastern Gotland Sea, Northern Baltic Proper, Åland Sea, southern parts of the Bothnian Sea, Arkona Basin, and slightly into the Bothnian Bay in response to projected climate change scenarios. Our conceptual modeling approach is useful where toxicological data such as cyanotoxins are insufficient.</p>