2018
DOI: 10.5194/bg-15-5113-2018
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Causes of simulated long-term changes in phytoplankton biomass in the Baltic proper: a wavelet analysis

Abstract: Abstract. The co-variation of key variables with simulated phytoplankton biomass in the Baltic proper has been examined using wavelet analysis and results of a long-term simulation for 1850–2008 with a high-resolution coupled physical–biogeochemical circulation model for the Baltic Sea. By focusing on inter-annual variations, it is possible to track effects acting on decadal timescales such as temperature increase due to climate change as well as changes in nutrient input. The strongest inter-annual coherence … Show more

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Cited by 14 publications
(16 citation statements)
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“…Mean Chl concentrations remained < 1 µg liter −1 from 1880 to 1950 and increased to 2-4 µg liter −1 during 1990-2009 (Hieronymus et al, 2018). Two seasonal bloom periods characterize most of the BS, spring blooms of diatoms and dinoflagellates and cyanobacterial blooms in late summer (Spilling et al, 2018).…”
Section: Baltic Sea (Bs)mentioning
confidence: 99%
“…Mean Chl concentrations remained < 1 µg liter −1 from 1880 to 1950 and increased to 2-4 µg liter −1 during 1990-2009 (Hieronymus et al, 2018). Two seasonal bloom periods characterize most of the BS, spring blooms of diatoms and dinoflagellates and cyanobacterial blooms in late summer (Spilling et al, 2018).…”
Section: Baltic Sea (Bs)mentioning
confidence: 99%
“…For example, higher water temperatures may increase the production and remineralization of organic material (i.e., may intensify the internal nutrient cycling) and reduce air-sea fluxes of oxygen (Meier et al, 2011a). Further, increased river runoff may reinforce river-borne nutrient loads (Stålnacke et al, 1999;Meier et al, 2012b) and a shallower mixed layer depth may alter phytoplankton blooms (Hieronymus et al, 2018). In the northern Baltic Sea, the shrinking sea-ice cover will lead to an earlier onset and termination of the spring bloom due to improved light conditions (Eilola et al, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…3). This is a typical seasonal cycle of cyanobacteria in the Baltic proper (Olofsson et al 2020), and is an important improvement attained by using this model combination as compared to previous results (Hieronymus et al 2018). This improved seasonality is due to the inclusion of the cyanobacteria life cycle model (Hense and Beckmann, 2010).…”
Section: Including the Cyanobacteria Life Cycle Modelmentioning
confidence: 52%
“…Including correct seasonal cycles together with spatial variations of cyanobacteria blooms influenced by the different stages of cyanobacteria life cycles will support an improved description of historical changes in biomass and estimates of nitrogen fixation. Hieronymus et al (2018) demonstrate a temporal shift in cyanobacterial blooms in the model as compared to observations when life cycles are not taken into account. According to Hense et al (2010b), the rapid increase (or decrease) of the summer concentrations, when using the cyanobacteria life cycle (CLC) model, is a result of transfer between life cycle stages.…”
mentioning
confidence: 83%
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