Journal
SCIENCE OF THE TOTAL ENVIRONMENT
Volume 769, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.scitotenv.2021.145053
Keywords
Cyanobacteria scum; Drivers of hyperblooms; Eutrophication; Remote sensing; Curonian Lagoon
Categories
Funding
- Research Council of Lithuania (LMT) [S-MIP-17-11]
- European Union's Horizon 2020 research and innovation program [730066]
- European Space Agency PECS contract TODAY [4000122960/18/NL/SC]
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A detailed analysis of cyanobacteria blooms in the Curonian Lagoon from 1985 to 2018 revealed a tendency towards later occurrence and longer duration of blooms. Factors affecting the presence and area of blooms include cyanobacteria standing stock and ambient wind conditions. Spatial patterns of blooms are influenced by water renewal time, current patterns, and potential nutrient sources. Despite efforts to control eutrophication, the lagoon is still considered to be in poor ecological status.
A temporally and spatially detailed historical (1985-2018) analysis of cyanobacteria blooms was performed in the Curonian Lagoon (Lithuania, Russia), the largest coastal lagoon in the Baltic Sea. Satellite data allowed the mapping of cyanobacteria surface accumulations, so-called scums, and of chlorophyll-a concentration. The 34-year time series shows a tendency towards later occurrence (October-November) of the cyanobacteria scum presence, whereas the period of its onset (June-July) remains relatively constant. The periods when scums are present, hot moments, have been consistently increasing in duration since 2008. The differences in the starting, ending and annual duration of cyanobacteria blooms have been significantly altered by hydrometeorological conditions (river discharge, water temperature, and wind conditions) and their year-round patterns. The most important environmental factors that determined the temporal changes of the scum presence and area were the standing stock of cyanobacteria and the ambient wind conditions. The hotspots, the areas where the blooms most likely occur, were distributed in the south-southwestern and central parts of the lagoon. The least affected areas were the northern part, which is connected to the coastal waters of the Baltic Sea and the Nemunas River delta region. The longstanding, well-established spatial patterns of cyanobacteria blooms were linked to hydrodynamic features, namely water renewal time and current patterns, and to potential nutrient sources that included muddy sediments and the locations of colonies of piscivorous birds. Our findings confirmed that the annual and seasonal variations of cyanobacteria blooms and their regulation are a complex issue due to interactions between multiple factors over spatially and temporally broad scales. Despite great progress in the prevention and control of eutrophication and cyanobacteria blooms, the lagoon is still considered to be in a poor ecological status. This work provides a new and missing understanding on the spatial and temporal extent of cyanobacteria blooms and the factors that govern them. Such an understanding can help in planning management strategies, forecasting the magnitude and severity of blooms under changing nutrient loads and potential climate scenarios. (C) 2021 Elsevier B.V. All rights reserved.
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