News

Lake Erken, Sweden, is one of our pilot service lakes and are presently experiencing a strong gloeothricia bloom.

Watch a 1 minute movie clip showing a strong gloeothricia bloom accumulate and disappear in 4 hours at the Erken Laboratory field station (Lake Erken, Sweden) 2019-08-06 between 8 am and 12 am.

A few selected screenshots from the movie clip:

The Erken Laboratory field station is a unit belonging to the Department of Ecology and Genetics at Uppsala University. The station is a SITES node (Swedish Infrastructure for Ecosystem Science).

Watch the Live Webcam from the Erken Laboratory field station

Maya Mitell at InfoBaltic was interviewed on Swedish national radio and talked about the CyanoAlert project and asked the public to assist in providing observations on five selected pilot bathing sites in the Baltic Sea.

Listen to the interview (in Swedish)
Länsstyrelsen ska hitta giftiga alger – med hjälp av allmänheten

Read the full announcement from InfoBaltic (in Swedish)
Tala om för oss hur det ser ut vid din badplats utefter kusten!

Figure: The five selected bathing sites in the Baltic Sea: Studentviken (Karlskrona), Tofta (Gotland), Jogersö (Oxelösund), Torpesand (Värmdö) and Trouville (Sandhamn Värmdö).

Written by Prof. Laurence Carvalho, Freshwater Ecologist, and Jessica Richardson, PhD Candidate, Centre for Ecology and Hydrology, United Kingdom

Harmful algal blooms are a global problem, impacting on the availability of clean water for drinking, watering livestock, fisheries and recreation for millions of people around the world. It is widely believed that climate change is acting synergistically with nutrient pollution to exacerbate the problems of harmful blooms of cyanobacteria (also known as blue-green algae), particularly in lakes and reservoirs. Changes in air temperature and rainfall, however, can affect cyanobacteria by influencing hydrology, nutrient loading, lake temperature and physical structure, and community interactions. This complexity makes it difficult to predict what the effects of nutrients, in combination with climate change, will be. The growing availability of long-term and large-scale observational data, including Earth Observation, can help bring clarity to this complexity and assess whether generalised responses exist for different types of lakes, or in different parts of the world.

In a recent paper published in Global Change Biology (Richardson et al., 2018), we analysed data from a large dataset of approximately 500 European lakes to examine individual and interactive effects of nutrient and climate stressors (total phosphorus, temperature and water retention time). Total phosphorus generally had the strongest positive effect on the abundance of cyanobacteria. However, there was large variability among-lakes in responses to the three stressors, but when lakes were grouped by type, significant effects of temperature and rainfall were observed for some types (Figure). These analyses suggest that considering responses by lake type helps us to generalize the response of cyanobacteria to environmental change and to highlight particularly sensitive lake types.

New EO data products for chlorophyll and cyanobacteria, such as in H2020 CyanoAlert may help us to understand differing sensitivities of lake types globally and could also help us understand the changing timing and magnitude of blooms. The approaches we outline for analysing in-situ data are applicable to the large datasets now becoming available with EO.

Figure: Model summaries highlighting climate effects (temperature and retention time) for the response of (a) cyanobacteria and (b) chlorophyll-a. Each lake (point) is coloured according to statistically significant climate effects estimated for the lake type to which the lake belongs. Warmer colours represent positive climate effects, cooler colours represent either no climate effect or a negative climate effect (only applicable for retention time in chlorophyll-a models). n/a are polymictic, low alkalinity, clear lakes (n = 3) which had insufficient data for analysis. See Figure 1 [in Richardson et al. (2018)] for the spatial distribution of lake types. [Image reproduced with authors’ permission from original manuscript]

Citation: Richardson, J., Miller, C., Maberly, S.C., Taylor, P., Globevnik, L., Hunter, P., Jeppesen, E., Mischke, U., Moe, S.J., Pasztaleniec, A., Søndergaard, M., Carvalho, L. (2018). Effects of multiple stressors on cyanobacteria abundance vary with lake type, Global Change Biology 24: 5044-5055. DOI: 10.1111/gcb.14396

InfoBaltic (The Information Office for the Baltic Sea, Stockholm, Sweden):

During late July and early August reports regarding cyanobacterial blooms were abundant from Kramfors (northern east-coast) though Varberg (west-coast) in Sweden, and for a time both Gotland and Öland were completely surrounded. It was not until the wind picked up in strength in the beginning of august the blooms started retreating after multiple weeks of bathe-unfriendly water in places.

Potentially poisonous species like Nodularia spumigena were favored by the warm weather, and some water samples showed a high concentration of this variety. There were also multiple reports about illness after swimming, from parents as well as dog-owners. The toxicity of the water containing cyanobacteria is usually not that high that humans get ill, and this has not been reported previously with medical backup. However, other more potent species are also favored by warm water, especially in fresh water. This can be more common bacteria like E. coli, or it can be other types of phytoplankton such as diatoms and dinoflagellates. With today’s monitoring using satellite pictures to analyze the presence of algae blooms only works on the pelagic masses, since resolution is too low to reconstruct freshwater bodies and costal zones correctly. This makes it hard to follow up cases of illness and concluding the cause without making extensive water analyzes, which is both expensive and laborious during times like the past weeks. Follow-up would be much easier using the CyanoAlert technology where both chlorophyll a and chlorophyll unique to cyanobacteria is picked up, so that an exclusion method could be used to decide if the illness is due to cyanobacteria, phytoplankton or some other reason. People could also use the near-real time feature in the app to look at the local beaches and see for themselves what the water contains. Hopefully this will be available for the public to use as soon as possible!

Brockmann Geomatics

Odermatt & Brockmann

Brockmann Consult

CyanoAlert

Space Based Cyanobacteria Information & Services

Funding

This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 730141.

EU

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