To bloom or not to bloom: contrasting responses of cyanobacteria to recent heat waves explained by critical thresholds of abiotic drivers
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Past heat waves are considered harbingers of future climate change. In this study, we have evaluated the effects of two recent Central European summer heat waves (2003 and 2006) on cyanobacterial blooms in a eutrophic, shallow lake. While a bloom of cyanobacteria developed in 2006, consistent with our expectations, cyanobacterial biomass surprisingly remained at a record-low during the entire summer of 2003. Critical thresholds of abiotic drivers extracted from the long-term (1993–2007) data set of the studied lake using classification tree analysis (CTA) proved suitable to explain these observations. We found that cyanobacterial blooms were especially favoured in 2006 because thermal stratification was critically intense (Schmidt stability >44 g cm cm−2) and long-lasting (>3 weeks). Our results also suggest that some cyanobacterial species (Anabaena sp.) benefitted directly from the stable water column, whereas other species (Planktothrix sp.) took advantage of stratification-induced internal nutrient loading. In 2003, conditions were less favourable for cyanobacteria due to a spell of lower temperatures and stronger winds in mid-summer; as a result, the identified thresholds of thermal stratification were hardly ever reached. Overall, our study shows that extracting critical thresholds of environmental drivers from long-term records is a promising avenue for predicting ecosystem responses to future climate warming. Specifically, our results emphasize that not average temperature increase but changes in short-term meteorological variability will determine whether cyanobacteria will bloom more often in a warmer world.
KeywordsClimate change Cyanobacteria Heat wave Polymictic lake Thermal stratification
We thank all IGB scientists and technicians who have been involved in the collection and compilation of the long-term data set of Müggelsee. We are especially grateful to Thomas Hintze and Helgard Täuscher who helped during the preparation of the raw data. The German Research Foundation (DFG) supported Veronika Huber and Carola Wagner within the priority program AQUASHIFT (AD91/12-1; SPP 1162), and Rita Adrian and Dieter Gerten within the LakeRisk Project (AD91/13-1).
- Breiman L, Friedman J, Stone CJ, Olshen RA (1993) Classification and regression trees. Chapman and Hall, Boca RatonGoogle Scholar
- Butterwick C, Heaney SI, Talling JF (2005) Diversity in the influence of temperature on the growth rates of freshwater algae, and its ecological relevance. Freshw Biol 50:91–300Google Scholar
- Huisman J, Matthijs PM, Visser PM (eds) (2005) Harmful cyanobacteria. Springer SBM, HeidelbergGoogle Scholar
- Hyenstrand P, Blomquist P, Pettersson A (1998) Factors determining cyanobacterial success in aquatic systems—a literature review. Arch Fuer Hydrobiol Spec Issues Adv Limnol 51:41–62Google Scholar
- Paerl HW (1988) Growth and reproductive strategies of freshwater blue-green algae (Cyanobacteria). In: Sandgreen CD (ed) Growth and reproductive strategies of freshwater phytoplankton. Cambridge University Press, CambridgeGoogle Scholar
- Soranno PA (1997) Factors affecting the timing of surface scums and epilimnetic blooms of blue-green algae in a eutrophic lake. Can J Fish Aquat Sci 54:1965–1975Google Scholar