Abstract
The cyanoprokaryote Planktothrix rubescens has been studied for over four decades in an alpine lake, Mondsee, Austria. We hypothesise that impacts of climate change can be distinguished from other environmental constraints controlling its population dynamics. During thermal stratification, P. rubescens formed a deep chlorophyll maximum in the metalimnion. Seasonal and diurnal depth distributions indicated that Planktothrix lived well below the euphotic zone, at low light levels and moderate temperatures. Photosynthetic parameters indicated a shade adapted population. The eutrophication and rehabilitation periods of Mondsee were characterised by fluctuations controlled by phosphorus, with periods below the P-threshold associated with low biovolumes and relatively stable populations. Positive net changes of Planktothrix biovolume occurred during the spring–summer transition and in autumn. During summer, the population usually declined to an annual minimum. The standardised residuals of annual biovolumes responded positively to the climate signal of the Winter North Atlantic Oscillation and the timing of the onset of stratification. An inverse relationship existed between off-set and persistence of stratification. P. rubescens only benefits from climate warming early in the year, during late spring overturn and early summer. Longer periods of summer stratification did not favour biovolume development.
Introduction
Most freshwater habitats in the world today are affected by eutrophication (Smith & Schindler, 2009), with the problem of nutrient enrichment now further exacerbated by the effects of climate change (Dokulil & Teubner, 2011). The underlying causes of eutrophication have long been recognised (Vollenweider, 1966) and even though there have been great advances in understanding, it remains a particular problem because of algal blooms, scums and water quality issues (Schindler, 2006; Dodds & Cole, 2007). The deterioration in lake water quality is often associated with the excessive proliferation of cyanobacteria (Pearl & Ustach, 1982; Steinberg & Hartmann, 1988).
The most obvious nuisance is when there is a mass appearance of cyanobacteria in surface blooms. However, in deep lakes that stratify during summer, problems may be hidden in deeper water because some planktonic cyanobacteria thrive in the metalimnion where they build up deep chlorophyll maxima (DCM). This behaviour seems paradoxical because the epilimnion should be more attractive for autotrophic organisms (Davis et al., 2003). One of the best and most widespread examples of this behaviour is the cyanoprokaryote Planktothrix rubescens (de Candolle ex Gomont) Anagnostidis et Komárek (1988). This ‘paradoxical’ species is seen by others as an efficient ‘ecosystem engineer’ acting as a major organizing force (Padisák et al., 2010). Whatever the viewpoint, this species has a world-wide distribution in lakes of different sizes (Guiry& Guiry, 2011) but is of particular importance in deep, stratifying and eutrophic lakes. One adaptive advantage of P. rubescens is its ability to maintain populations even under declining or low phosphorus concentrations (Chorus et al., 2011, p. 84ff). Thriving mainly in the metalimnion, the species can become a nuisance because many strains can be toxic (Ostermaier & Kurmayer, 2010) and may transfer the toxin to higher trophic levels (Sotton et al., 2011). At higher nutrient levels, the species may even produce surface blooms (e.g. Almodóvar et al., 2004).
Planktothrix rubescens is one of the most studied organisms among the filamentous cyanoprokaryotes. This is because of its early seasonal appearance and the striking visual appearance of blooms. For example, it occurred frequently during the winter in Lac de Morat, Switzerland, during the nineteenth century. People at that time believed that the phenomenon was due to the reappearance of blood of Burgundy soldiers drowned during a battle in 1478. This myth triggered the German name ‘Burgunderblutalge’ (refer also to the red cock legend in Padisák et al., 2010). However, the cause of the red colouration was correctly identified by De Candolle (1825), who named the organism Oscillatoria rubescens.
The basionym of P. rubescens is, therefore, Oscillatoria rubescens D.C. ex Gomont 1892. (Skulberg & Skulberg, 1985; Anagnostidis & Komárek, 1988). It was first described as the purple or red-coloured form of planktonic Oscillatoria occurring in stratifying lakes, while the morphologically very similar taxon but blue-green form, Oscillatoria agardhii, was commonly described from polymictic, e.g. riverine and shallow lakes (shallow eutrophied ‘H2S-Oscillatoria lakes’ described by Wundsch, 1940, see also Oscillatoria agardhii/rubescens Skulberg, 1977; Skulberg & Skulberg, 1985). Their different colouration relates to the presence of phycobilins, which are light harvesting pigments. The ‘blue-green’ phycocyanin is the only phycobilin occurring in P. agardhii, while P. rubescens also contains high concentrations of the ‘purple’ phycoerythrin, which gives it the characteristic colour. This different phycobilin pigment composition is seen as diacritical feature delineating strains of P. agardhii and P. rubescens according to phylogenetic analysis based on 16S rDNA sequences (Suda et al., 2002). Both P. rubescens and P. agardhii, contain oscillaxanthin. This carotenoid is not common in other taxa and was first isolated from P. rubescens (Karrer & Rutschmann, 1944; Goodwin, 1976, Rowan, 1989). The genus Planktothrix was described by Anagnostidis & Komárek (1988). The emended description of P. rubescens (D.C. ex Gomont) Anagnostidis et Komárek 1988 refers to the family Phormidiaceae. The main morphological features of P. rubescens include solitary trichomes or filaments that are able to move by gliding forwards and backwards (trembling), thylakoids arranged perpendicularly to the longitudinal side of cells, the even distribution of gas vesicles in the protoplast and the lack of false branching of trichomes (Fig. S1). Also, P. rubescens has cells where the length is slightly shorter than the width (Anagnostidis & Komárek, 1988; Komárek & Komárkova, 2004). Toxic and non-toxic strains of Planktothrix have been found in European lakes including Mondsee (Kurmayer et al., 2011) but the proportions of genes encoding the synthesis of toxic peptides differed between populations from different lakes but did not vary seasonally within a lake.
In Austria, P. rubescens appeared shortly after it was first found in several Swiss lakes in the late nineteenth century (e.g. Bachmann, 1897) in a lake north of the Alps. In 1909 it invaded the Wörthersee in Carinthia south of the Alpine ridge and further spread through the lake districts thereafter (Findenegg, 1973). The taxon appeared in Mondsee in fall 1968, when phosphorus concentrations increased (Findenegg, 1969). Planktothrix, however, occurred throughout the re-oligotrophication phase and almost disappeared when the lake became oligo-mesotrophic. It still maintains a very small population at present.
The aim of the present review is to assess the population dynamics of P. rubescens in Mondsee over 40 years, from 1969 to 2010, and to identify the environmental constraints responsible for its rise and fall in abundance. We hypothesise that the metalimnetic populations of P. rubescens have been affected by climate change, which is now modifying ecological conditions within the lake.
The Study site
Mondsee is an alpine oligo-mesotrophic lake situated in central Austria (47°50′N, 13°23′E) at 480 m above sea level. It has an area of 13.8 km2, a mean depth of 37 m and a maximum depth of 68 m. The lake regularly stratifies during summer while ice coverage in winter is sporadic. Therefore, Mondsee switches between dimictic and monomictic mixing regimes. For more details on the lake’s location, morphometry and hydrology refer to Dokulil & Skolaut (1986).
Methods
Data sources
The quantitative data for P. rubescens for the years 1969–1972 were extracted from Findenegg (1969, 1972,1973), those for 1977–1980 from Schwarz (1979a, b, 1981) and Jagsch (1979), and for 2005–2010 from Schay & Wimmer (2010), Wolfram et al. (2010) and Mildner et al. (2010).
Annual average total phosphorus (TP) concentrations for 1969–1974 were inferred from Planktothrix biovolume (PB) using the regression equation PB = 1.54 TP + 12.8 (r 2 = 0.42, n = 638) and from palaeo-data as described in Dokulil & Teubner (2005). Average TP data for the years 1975–1981 and 2004–2006 were taken from Achleitner et al. (2007). Those for 2007–2010 come from Schay & Wimmer (2010), Wolfram et al. (2010) and Mildner et al. (2010). All other data between 1982 and 2004 are original. All methods used in these studies were standard techniques, mostly cross-checked to allow comparison of data from different laboratories.
Depth distribution of P. rubescens for the years 1982–84 are biomass estimates while the years 2003/04 were deduced from measurements using delayed fluorescence (DF) excitation spectroscopy (Gerhardt & Bodemer, 1998).
Euphotic depth (z eu) was defined as the depth where photosynthetic available radiation (PAR) is 1% of surface light intensity. In the absence of direct measurements this depth was calculated from Secchi-disk readings by a factor of three empirically determined for Mondsee. Mixing depth (z mix) was taken as the depth of maximum density difference calculated from water temperature.
Long-term sampling
Over the 40-year sampling period different sampling depths and strategies were used. Samples from discrete depths were usually taken with a Ruttner sampler (prior to 1982) or later with a Schindler–Patalas trap. Integrated samples for the top 20 m were obtained with a Schröder sampler (Schröder, 1969). Sampling intervals ranged from weekly to monthly. In a few cases, the interval was biweekly or daily as, e.g. when photosynthetic characteristics were measured. Similarly, sampling depths also varied over time. Details on the 14C technique used for productivity estimates are given in Kaiblinger et al. (2007).
Diurnal sampling
High resolution measurements were performed during a stable thermal stratification period in mid-July 2002 for two diurnal cycles (‘High moon’ workshop). Samples for phytoplankton and lipophilic pigments were taken at 0.5, 1, 2, 3.5, 5.5, 7.5, 9.5, 12.5, 14.5, 18, 22 and 28 m at 3-h intervals. Methods of counting phytoplankton samples, analysis of chl-a and lipophilic pigments and related results are described in detail in Greisberger & Teubner (2007). Details of spectroscopic properties specifically used for analysing the concentrations of the carotenoid Oscillaxanthin are described in Goodwin (1976) and Rowan (1989). Hourly profiles of chlorophyll fluorescence (Haardt-fluorimeter, Lincoln, USA), conductivity, oxygen and water temperature (YSI 6920 profiler) were measured at depth intervals of 0.25 m. Incoming PAR was continuously monitored over intervals of 10 min by using cosine corrected PAR sensor (LI 190). Under water light regime was measured with a scalar quantum sensor (LI 190 SB) connected to an integrating quantum meter (LI 188) made by LI-COR Inc, USA. The measurements were corrected for the immersion effect. Values of 1 and 0.1% surface light intensity were calculated from vertical attenuation coefficients. The maximum values of relative thermal resistance against mixing (RTRM; Vallentyne, 1957) were estimated from 0.25 m resolution profiles of water temperature and used to define the depth of thermocline (also defined here as z mix).
Data treatment
The length of trichomes of P. rubescens at different depth was estimated by notched box-whisker plots using SYSTAT 10 (SPSS Inc.). Boxes were notched at the median; the length of the notches indicated 95% confidence intervals. Break points in time series were visualised by rescaled adjusted partial sums (RAPS) following Garbrecht & Fernandez (1994).
with Y t = value at time t, \( \overline{Y} \) = mean of the series and S Y = standard deviation of the mean. Schmidt stability was calculated according to Livingstone and Schanz (1994).
In situ net changes of PB were calculated from short time investigations (≤1 week) according to
with B 2 and B 1 biovolumes at time t 2 and t 1.
Long-term datasets of intra-annual biovolumes of P. rubescens were highly variable (coefficient of variation, CV = 0.96). Annual biovolumes of P. rubescens were hence standardised and linearly detrended to remove strong inter-annual variation prior to estimating climate response in the time series. These standardised residuals (SR) of P. rubescens were related to a climate signal, the Hurrel’s station based North Atlantic Oscillation Index (NAO, Hurrel et al., 2001). Monthly indices were taken from http://www.cgd.ucar.edu/cas/jhurrell/indices.html, accessed 7 September 2011. Standardised residuals of annual biovolumes of P. rubescens were further correlated with original data of dates of lake stratification (low CV which ranged from 0.02 to 0.11) and its detrended time series data. Pearson correlations coefficients are shown for the detrended lake stratification data in Fig. 9 (r SR) and also for the original lake stratification data (r) in the text.
RTRM values for the long-term data set were calculated in depth intervals of 1 m. The on-set of thermal stratification was defined as the date, the Julian day, when maximum RTRM-value exceeded the threshold value of 9.5. Similarly, the off-set of stratification was defined by the Julian day when the maximum RTRM-value fell below 9.5 leading to unstable thermal conditions in the water column and finally autumnal overturn. The duration of summer stratification was the time span in Julian days between dates of on- and off-set.
Results
Long-term dynamics
After its first appearance in autumn 1968 (Findenegg, 1969), P. rubescens rapidly increased in biovolume and reached a first peak in 1971 in Mondsee (Fig. 1). No data exist for the bloom years 1973–1976, only indirect evidence from visual observations of surface appearance of the species (Fig. S2) and palaeolimnological records of the marker pigment oscillaxanthin in the sediments (Schultze, 1985; Dokulil & Teubner, 2005). Maximum observed biovolumes occurred in the years 1977–1979 (4.4 mm3 L−1 in 1979). As a consequence of restoration measures in the catchment, quantities of Planktothrix rapidly declined thereafter, reaching values below 0.002 mm3 L−1 in 1998–2000. Beginning in 2001, biovolumes of P. rubescens increased again to values similar to the 1980s. The peak of 1.3 mm3 L−1 in 2004 was followed by a rapid decline, leading to very low values from 2006 to 2010.
Biovolume of P. rubescens as 106 μm3 L−1 (equivalent to μg L−1 biomass) in Mondsee for the years 1969–2010. For data sources refer to relevant paragraph in “Methods”
Annual average PB and TP concentrations strongly corresponded to each other during the period from 1969 to 2010 (Fig. 2), as is also indicated by the parallel progression of the RAPS in the lower panel. In the first phase, from 1969 to 1979, annual mean TP concentrations increased in the lake, peaking at 35 μg L−1 in 1978 (eutrophication phase), and P. rubescens proliferated. Both variables drastically declined then until TP concentrations dropped consistently below 10 μg L−1 and biovolumes below 0.1 mm3 L−1 in 1990 (restoration phase). The next 10-year period, from 1990 to 2000, was characterised by low and further declining average biovolumes, reaching an annual minimum of 0.001 mm3 L−1 in 1998 (stabilisation phase). Afterwards, P. rubescens mean biovolumes increased again, peaking at 0.4 mm3 L−1 in 2003, followed by a drastic decline to values much below 0.01 mm3 L−1 in very recent years.
Depth distribution
Depth distribution and formation of the metalimnetic maximum layer of P. rubescens is shown together with water temperature, z eu and z mix for the years 1982–1984 and 2003–2004 in Fig. 3. The formation of a Planktothix-layer between 10 and 15(20) m began when the lake started to thermally stratify. Maximum biovolumes were associated with water temperatures of 6–16°C and at depths of greatest density difference. P. rubescens grew well at depths below z eu, i.e. at light levels of less than 1% and below the mixing zone during the stratified period. Positive net change of biovolume (μ′) averaged 0.099 day−1 (0.002–0.446) were deduced from weekly observations. Positive net changes mainly occurred during late spring-early summer or in autumn. The layering was terminated usually when temperature stratification began to weaken and mixing depth increased. In the autumn of 1983, however, quite a large population remained in the epilimnion and managed to survive the winter, so it was able to proliferate throughout the water column at spring overturn.
Contour plot of water temperature (°C) with euphotic depth (z eu in m) as continuous line (A) and P. rubescens biomass in μg L−1 with mixing depth (z mix in m) for 1982–1984 (B). Contour plot of water temperature (°C) with euphotic depth (z eu in m) as continuous line (C) and P. rubescens biomass as chl-a equivalents (μg L−1) from DF-spectrometry with mixing depth (z mix in m) for 2003 and 2004 (D)
The depth distribution of P. rubescens and related variables are further shown in detail for two diurnal cycles during summer stratification in Fig. 4. In addition, phytoplankton composition is shown for certain depths in Fig. 5 for these sampling dates. The density and the RTRM illustrate the usual separation with the epilimnion in the top 5–6 m, a thick metalimnetic layer from 6 to 13.5 m and the hypolimnion below during thermal stratification.
Diurnal depth distribution of P. rubescens as contour plot (A) and mean verticals (B). All data are from Mondsee sampling at 23/24 July 2002. With exception of the biovolume of P. rubescens the depth resolution is 0.25 m. A Biovolume of P. rubescens is indicated by shaded areas: <0.4 (white), 0.5–1 (light gray), 1.1–1.5 (mid-grey), >1.6 (dark grey). Lines refer to the depth of 1% (euphotic depth) and 0.1% light availability, respectively, and mixing depth (thermocline as depth of maximum values of RTRM). B Profiles as averages of the two diurnal cycles: biovolume of P. rubescens (P. rub.), total chlorophyll-a of phytoplankton measured by fluorescence (chl-a), RTRM and density, conductivity (Cond) oxygen saturation (O2%). The mean maximum value of RTRM is 11 and refers to a depth resolution of 0.25 m (maximum RTRM value of 1-m depth interval is 43 (not shown) and hence above the threshold of 9.5 used as threshold for the onset of stratification in Mondsee, see “Methods”)
Relative contribution of P. rubescens to total phytoplankton (left panel) and the composition of eukaryotic phytoplankton (right panel) at discrete depth of epilimnion (0.5, 1 and 2 m), metalimnion (9.5 m, 12.5 m) and hypolimnion (14.5 m). Data are averages from Mondsee sampling on 23/24 July 2002 (see method). Chry chrysophytes, cDiat centric diatoms, pDiat pennate diatoms, Cryp cryptophytes, Din dinoflagellates, Plarub P. rubescens, B phyto biovolume of total phytoplankton, B Plarub biovolume of P. rubescens
The biovolume of P. rubescens was negligible in the top 9 m, because it contributed less than 1% to total biovolume of phytoplankton (Figs. 4, 5). At a depth of 9.5 m, coinciding with the depth of the thermocline at 9.4 m (depth variation from 8 to 11 m), the biovolume of P. rubescens increased and contributed 9% to total phytoplankton (Fig. 5, left panel). This depth also related to a light availability of 1%, because the euphotic zone was deepest at 10.7 and 10.3 m, respectively, during these 2 days in July. Biovolumes of P. rubescens further increased below the thermocline at 12.5 and 14.5 m reaching 0.97 and 0.91 mm3 L−1, respectively, which was about 85% of total biovolume. The Planktothrix layer occupied a zone at and below the margin of the thermocline where light was available between 1 and 0.1% (Fig. 4A). In the main layer at 12.5 m, 0.1% light intensity lasted for at least several hours per day (11 h on sunny 23.7.2002, 5 h on cloudy 24.7.2002). Based on the hourly fluorescence profiles (resolution 0.25 m), the depth of the population maximum of P. rubescens was even slightly deeper between 13 and 13.5 m and hence very close to the boundary between meta- and hypolimnion (Fig. 4B). The gravity point of the P. rubescens population moved marginally downwards in the afternoon and slightly dispersed during morning and night (Fig. 4A). Enhanced oxygen saturation was found from 7.5 to 11.5 m, which decreased slightly with depth and fell below 100% at 14 m (Fig. 4B).
The vertical distribution of phytoplankton other than P. rubescens was largely even (Fig. 5, right panel). The biovolume other than P. rubescens was dominated by diatoms (38–47 %), while dinoflagellates and cryptophytes contributed, on average, 16–24% and 14–20%, respectively. Chrysophytes and cyanobacteria other than P. rubescens were of minor importance. The only remarkable change with depth was found among the centric and pennate diatoms, e.g. centric diatoms made up 45–46% of phytoplankton in the surface layer (excluding P. rubescens), while pennate diatoms were almost absent (<1%). In the deeper layers below the thermocline at 12.5 and 14.5 m, the centric diatoms decreased to 33–35% while the pennate diatoms increased to 5–10%. The pennate diatoms were composed mainly of the genera Asterionella, Fragilaria (including former Synedra), Nitzschia and Tabellaria.
A distinct vertical pattern can be further seen by comparing the trichome length of P. rubescens at two metalimnetic strata (Fig. 6A). Trichomes at 9.5 m depth were significantly shorter than those at 12.5 m (p < 0.05, Fig. 6B). The trichome length varied from 28 to 1090 μm (median, see Table 2). In general, the frequency of shorter trichomes was much higher than of longer trichomes.
During the diurnal cycle survey in Mondsee, P. rubescens was the only abundant cyanobacterium containing the carotenoid pigment oscillaxanthin (Goodwin, 1976; Rowan, 1989). This marker pigment was significantly correlated to the abundant biovolume of P. rubescens below 9.5 m (Fig. 7). The median ratio of oscillaxanthin per biovolume of P. rubescens was 5.74 × 10−8 μg μm−3, that of oscillaxanthin per chl-a of P. rubescens 0.081 μg μg−1 (Table 2). When biovolume was <0.025 mm3 L−1 (samples from epilimnion) the spectroscopic signal of oscillaxanthin was under the detection limit applying a standard protocol aimed at analysing the many phytoplankton chlorophylls and carotenoids in a one analytical run.
Productivity
In July 1987 an in situ productivity 14C-experiment was performed in which Planktothrix was taken from the DCM and then distributed over z eu, exposing it to the entire light gradient. Comparison was made to the total phytoplankton assemblage, which was taken conventionally at each depth. The photosynthetic parameters obtained from chl-specific carbon uptake versus light intensity (P–I curve) are summarised in Table 1.
Maximum rate of photosynthesis (P max) of Planktothrix was lower and light harvesting efficiency at low light (α) was higher than that of total phytoplankton. As a result, light saturation (I K) of photosynthetic rate was reached at lower light intensity for P. rubescens. Further, photoinhibition at light intensities above 640 μmol PAR was observed for P. rubescens while no inhibition was found for the total phytoplankton sample. All these parameters pointed to low light acclimation in P. rubescens.
Climate response
As the yield of P. rubescens was primarily linked to nutrient status (Fig. 8), annual average biovolumes of P. rubescens did not directly correspond to climate signals. To disentangle the phosphorus control and climate effects, all annual biovolumes of P. rubescens were converted to standardised residuals before testing correlations (SR biovolume of P. rubescens, see “Methods”). These residuals were significantly correlated with the large-scale climate phenomenon in February, the NAOFebr (r = 0.37, p < 0.05, Fig. 9A). Statistical analysis with other months and periods of NAO did not reveal a significant response pattern of P. rubescens over the time-period from 1969 to 2004 and, therefore, is not shown. Physical lake mixing conditions, specifically the timing of on- and off-set of thermal stratification and the duration of summer stratification in Mondsee (Fig. 9B), were identified as factors which mediate the climate signal to biological response. This figure refers only to the years 1979 to 2003 because detailed depth profiles are lacking for the other years.
Climate response of P. rubescens. The annual biovolumes of P. rubescens are displayed as standardised residuals (SR biovolume P. rubescens). A The response to the NAO-index in February (NAOFebr), and B the Julian days of the on-set, breakdown and duration of thermal stratification. A relates to the period 1969–1972, 1977–1980, 1982–2004 (n = 30), B for 1979–1980, 1982–1903 (n = 25). Pearson correlation coefficients for SR biovolume of P. rubescens versus residuals of the timing of stratification (r SR) and 0.95 significance intervals are shown (*p < 0.05, **p < 0.01)
The on-set of stratification in Mondsee occurred on average in early May, on Julian day 122, and varied from day 85 to 143 in the year. The SR of biovolume of P. rubescens were positively correlated with the timing of this on-set, the original data (r) and the detrended (r SR) Julian days, respectively (r = 0.39 and r SR = 0.41, p < 0.05). The breakdown of summer stratification occurred on average in early November, on Julian day 307, and varied from day 290 to 323. In contrast to the on-set of stratification, we found an inverse relationship between the SR of P. rubescens and the timing of breakdown of thermal stratification (r = −0.43 and r SR = −0.44, p < 0.05). An even stronger inverse response was found in the case of the time-span of thermal stratification (r = −0.52 and r SR =−0.55, p < 0.01). The thermal stability of the water column can be expressed by Schmidt’s stability. Maximum values for Schmidt’s stability increased slightly with years and responded to warming in Mondsee (not shown). SR of biovolume of P. rubescens were negatively related with values of the annual maximum of Schmidt’s stability (r = −0.50, r SR = −0.42, p < 0.01, not shown in figures).
Annual average long-term seasonality
The annual patterns of P. rubescens biovolume, total chlorophyll-a concentration of phytoplankton, the mixing and euphotic depth are shown as long-term averages for the years 1979–2003 in Fig. 10. During spring overturn early in the year, biovolumes of P. rubescens only slightly increased (Phase I). With the transition into thermal stratification (Phase II), the biovolume of P. rubescens increased to an initial peak, while the total phytoplankton already formed the spring maximum, which was usually the main peak of the year in Mondsee. Immediately after the on-set of thermal stratification, P. rubescens rapidly reached its maximum in the year, coinciding with the formation of the metalimnetic layer (Phase III). Total phytoplankton rapidly declined and water transparency increased during this clear-water phase. The annual average maximum of water transparency coincided, therefore, with the annual peak of P. rubescens biovolume, which occurred in the long-term average by mid to end of July (Julian day 173, median Julian day = 157, Table 2). In the following Phase IV, mainly characterised by a progressive deepening of the thermocline (see z mix in Fig. 10), biovolume of P. rubescens rapidly decreased while total phytoplankton formed a summer high. By the end of summer, the decline of P. rubescens slowed down to an annual minimum by mid to end September (mean Julian day 272 in Phase V; median 248, Table 2). This was followed by a steep increase leading to a second, smaller peak by the end of mid-November, on Julian day 323 (transition Phase VI). Finally, with the start of the autumnal overturn (Phase VIII) both P. rubescens and total phytoplankton declined to winter values.
Discussion
Long-term dynamics
Biovolume development of P. rubescens since 1969 can be characterised by a number of periods triggered by different events. The appearance and early success of Planktothrix must be attributed to high and increasing nutrient loading to the lake that originated from sewage effluents (Findenegg, 1969, 1973). Similar observations linking the appearance and expansion of P. rubescens to enhanced nutrient input have been made at several other sites (e.g. Edmondson et al., 1956). The beginning of sewage diversion in 1973 started a new era in which nutrient loads, particularly phosphorus, were reduced. Response of the lake was, however, delayed until 1979, when total phytoplankton biovolume began to decline until it reached a somewhat stable period of low values beginning in 1989 (Dokulil & Teubner, 2005). Such a reversal has been recognised in many other places (e.g. Schanz & Thomas, 1981).
The wax and wane of P. rubescens during these eutrophication and restoration periods was strongly controlled by phosphorus concentration (r² = 0.89, p < 0.001), as indicated in Fig. 8. The relation inserted in Fig. 8 shows that growth of Planktothrix was largely uncoupled from phosphorus for the last 20 years. Even the increase in biovolume in the years 2001–2006 (see Figs. 1, 2) was unrelated to TP and must have been triggered by factors other than P-load.
Analysis of biomass distribution versus a gradient of phosphorus concentration from several Austrian and Bavarian lakes revealed that P. rubescens proliferated under mesotrophic conditions (Teubner et al., 2004), opposing the general notion that the taxon is a ‘eutrophic’ species (see Table 1 in Ernst et al., 2009). Consequently, P. rubescens is one (among others) used to characterise mesotrophic to moderately eutrophic conditions when assessing the ecological status of lakes in the context of the Water Framework Directive (e.g. Wolfram et al., 2008).
Vertical niche separation
A number of plankton assemblages can form a DCM by aggregation or growth. Many types of deep living phytoplankton assemblages have been described from freshwater and marine systems (Cullen, 1982; Reynolds, 1992; Adler et al., 2000) that respond differently to environmental gradients.
The DCM formation by P. rubescens during summer thermal stratification is commonly described for oxygenic metalimnetic layers at or below the euphotic zone. This behaviour is well documented and is usually regulated by buoyancy changes responding to alterations in the light climate (e.g. Konopka, 1982; Micheletti et al., 1998; Teubner et al., 2003; Walsby et al., 2004). The strong density gradient in the metalimnion additionally creates a strong buoyancy force that prevents mixing and hence avoids entrainment. The composition of these phytoplankton assemblages in deep layers, mainly P. rubescens, can persist throughout a season, building a steady state assemblage that differs from assemblages in the epilimnion (e.g. Teubner et al., 2003; Lake Ammersee).
The occasional appearance at the lake surface, as was observed during the eutrophication period in Mondsee, also is a common feature (see “Introduction” and Fig. S2) and has been explained by changes in buoyancy regulation induced by mixing at the end of the stratified season (Walsby et al., 2006). Entrainment during mixing, therefore, also explains persistent biovolumes throughout the water column in autumn and, depending on meteorological conditions, during winter as was observed in 1983 to 1984 in Mondsee (see Fig. 3). Moreover, the species is acclimated or even adapted to low light intensities and low water temperatures allowing winter survival (Holland & Walsby, 2008).
High-resolution profile measurements have shown that the metalimnion is a zone almost free from turbulences in lakes (Ford & Johnson, 1983; Etemad-Shahidi & Imberger, 2001; Yamazaki et al., 2010). In Mondsee, we found a narrow stratum of the maximum population of P. rubescens at 13–13.5 m within the metalimnion extending over 7–8 m. It supports the theory that trichomes can easily move within this low turbulence layer by physiological buoyancy regulation in response to vertical light gradients (Walsby et al., 1983; Walsby, 2005). Effects of internal waves, as observed by Cuypers et al. (2011), can be safely ruled out because of permanent calm weather during the 2 days of observation.
Planktothrix rubescens modulated their buoyancy in Mondsee to aggregate in the dim light layer from 1 to 0.1% light intensity, which is sufficient light to support net growth but does not damage or inhibit the photosynthetic apparatus. The population maximum layer at 13–13.5 m seemed to be optimal for P. rubescens, even if it was close to the boundary layer between the metalimnion and the hypolimnion (at 14 m in mid-July). These finding were substantiated by photosynthesis–irradiance response curves in Mondsee. Analysing the 11 μm size fraction of phytoplankton assemblage, which was almost exclusively composed of P. rubescens for the year 2000 (Kaiblinger et al., 2007), observed photosynthetic parameters were similar to those measured in an in situ experiment in 1987 (see Table 1). All photosynthetic parameters (Table 2) describe a strongly shade acclimated species, which utilises the small amounts of light reaching the metalimnion. The main light-harvesting pigments in P. rubescens are phycocyanin and phycoerythrin. These phycobilins enable this cyanobacterium to use low light intensities but also the narrow, almost monochromatic wave band of light quality in these deep layers.
Another aspect of physiological adjustment to deep layers is heterotrophic growth stimulated by dim light as reported from amino acid uptake experiments in Lake Zürich by Zotina et al. (2003) and Walsby & Jüttner (2006). The dim-light uptake rate of certain amino acids was two- to ninefold higher than the dark-uptake rate in their studies. Further, E K values for amino acid uptake were much lower than for photosynthesis. Both studies from Lake Zürich found that heterotrophy, stimulated by low light intensity, supplemented autotrophic growth of P. rubescens in the deep metalimnetic strata. P. rubescens might be able, therefore, to grow even if there was insufficient light available for autotrophic growth. During the diurnal study in July 2002 in Mondsee, the maximum population layer at 13–13.5 m was 3–4 m below both the euphotic depth and the thermocline. Moreover, trichome length of P. rubescens at 9.5 m was significantly shorter than at 12.5 m. This observation supports findings by Walsby (2005) that longer trichomes tend to respond faster than shorter ones and are even able to migrate to deeper strata on sunny days. All these diurnal patterns confirm the physiological adjustment of P. rubescens to deep strata conditions discussed before (see vertical pattern 1983–1984 above).
The marker pigment oscillaxanthin
Oscillaxanthin is found in some phytoplankton species, mainly in filamentous cyanobacteria as P. rubescens, but also, e.g. in P. agardhii and Aphanizomenon spp. (Goodwin, 1976; Rowan, 1989; Rücker et al., 1995; Schlüter et al., 2004). This carotenoid has been commonly studied as a fossil pigment in sediments (e.g. Griffiths, 1978; Lami et al., 2000), while studies on plankton were more rare (Rücker et al., 1995; Schlüter et al., 2004; Greisberger & Teubner, 2007). Many pigments are ruled out as markers because they occur in numerous genera and even in several algal classes. In contrast, oscillaxanthin has an advantage because it is present in just a few species and of those, it is often possible to separate them by differences in their ecology. For example, P. rubescens and P. agardhii have different niches and, therefore, blooms in a lake usually consist of only one or the other. Our results confirm that this marker pigment can be used to infer biovolumes of P. rubescens when biomass is large. When biovolume contribution to total phytoplankton is low, the analytical techniques were at the detection limit, as has been described above for the epilimnetic samples with low biovolumes of P. rubescens in Mondsee. The median ratio of oscillaxanthin to chl-a calculated for P. rubescens from our field samples was twice as high as for cultures of Aphanizomenon and Anabaena grown under highlight conditions published in Schlüter et al. (2004).
Climate impact
How climate controls the lake’s phenology and, therefore, affects the dynamics of P. rubescens was central to the analysis of the relationship between the NAO signal and ecosystem function. A positive NAOFebr index relates to years of relative high insolation, high air temperature and low precipitation in the catchment of Mondsee. A negative NAOFebr is associated with the opposite weather situation in the region (Dokulil et al., 2010; Nõges et al., 2010). We further show that an increase of hypolimnetic water temperatures by 0.1–0.2°C per decade was mediated by climate trends related to winter NAO signal (Dokulil et al., 2006). The response of P. rubescens to the winter climate signal is shown in Fig. 9. The annual biovolume development of P. rubescens increased during years of positive NAOFebr, i.e. during years of warm winter–spring weather. The biovolumes were further dependent on the timing of the on- and off-set of the stratification and the time span between these two dates. The response of P. rubescens to stratification, however, did not show a general stimulation or inhibitory effect but changed within a year, as described by direct and inverse correlation patterns in Fig. 9. The annual average pattern shown in Fig. 10 indicates that the response of P. rubescens is in general different from the total phytoplankton during periods other than overturn. This independent, or indirectly related, development can be explained by vertical niche separation of epilimnetic and metalimnetic assemblages. Although P. rubescens was vertically separated, the species only benefited from thermal stratification in the beginning of the year, during Phases II and III. A prolonged period of summer stratification later in the year, as a consequence of climate warming, however, was not an advantage for biovolume development. These intra-annual shifts between early year forcing and mid-summer–autumn weakening of P. rubescens, explain the significant positive but weak correlation between the annual biovolume of P. rubescens and the climate signal NAOFebr.
The temporal coincidence of the annual peak of water transparency and the annual metalimnetic peak of P. rubescens in Mondsee is a common pattern described for the transition from spring to summer in other studies (e.g. Salmaso et al., 2003; Teubner et al., 2003; Talling et al., 2005). During this growth period, P. rubescens might not only benefit from sufficient light and nutrient availability for autotrophic growth but also from low light-stimulated uptake of organic compounds released to the metalimnion after the breakdown of the phytoplankton spring peak. Adenylate energy charge measurements in Mondsee by Jewson & Dokulil (1982) support the organic breakdown in the thermocline. In this context, a zone of low turbulence to some extent seems crucial for the growth of P. rubescens at depth. A metalimnion that extends over several metres, as shown in this study for Mondsee, allows P. rubescens to move easily by physiological buoyancy regulation between strata with light intensities around E K sufficient for photosynthesis or, at even deeper strata, to light intensities below E K, beneficial for amino acid uptake. In some lakes (e.g. Anneville et al., 2004), the development of P. rubescens early in the year is discussed in view of overwintering biovolume. In Mondsee, winter biovolumes of P. rubescens were sometimes higher than summer minima and were even enhanced in certain years, as discussed for the transition from 1983 to 1984.
Climate warming, however, benefits the growth of P. rubescens only during the spring-early summer transition but not later in the year. The decline of P. rubescens to an annual minimum in summer lasts over several weeks during thermal stratification (indicated as Phases IV and V in our long-term seasonality Fig. 10). This decline to the summer minimum is confirmed by a statistically strong but inverse relationship between the annual biovolume of P. rubescens and the duration of thermal stratification. Therefore, the lengthening of the period of thermal stratification by warming is not beneficial for P. rubescens. Other phytoplankton species, which are mixotrophic and motile might benefit even more from a longer stratification period in summer, because they can exploit nutrient patches not only in the deep layer but also near the surface. Flagellates of crypto-, chryso- and dinophyceens play an important role in deep alpine lakes (Dokulil, 1988; Fott et al., 1999; Sonntag et al., 2006; Tolotti et al., 2012) and can account for more than 40% of the phytoplankton taxa as recorded for mesotrophic alpine Ammersee (Teubner et al., 2003). In the case of the diurnal distribution pattern in Mondsee 2002, many photosynthetic flagellates were evenly distributed over depth and, therefore, behaved differently from P. rubescens, living almost exclusively in deeper layers.
Summary and conclusions
The main characteristics of P. rubescens and associated environmental variables observed over four decades in the alpine lake, Mondsee are summarised for the stratified period in Table 2. The ranges for chlorophyll-a and water temperature are, at first glance, surprisingly wide. Considering the various phases of ecosystem changes during the four decades of observation, these ranges are clear because they cover periods of eutrophication and years of extremes in water temperature like 2003. The variation and median of the light climate substantiate that P. rubescens lives substantially below the 1% light level and prefers situations when the euphotic depth is equal or less than the mixing zone. The median and ranges of the light climate, the z eu/z mix ratio and the nutrients, particularly TP and TN fall well into values reported by Schreurs (1992) for Dutch lakes. The photosynthetic parameters obtained in 2000 (Kaiblinger et al., 2007) all indicate shade adaptation of P. rubescens. On average, the Planktothrix population peaks in May to June and reaches its minimum in August to September.
For deep living Planktothrix rubescens populations the following conclusions can be drawn:
-
Preference for living under dim light (<1%) and cool water temperatures (5–12°C) at a depth of large density changes (metalimnion) and reduced turbulence.
-
Life in or below the thermocline is aided by physiological acclimation of photosynthesis and buoyancy regulation.
-
Survival during the stratified period is possible because of a potentially heterotrophic subsistence.
-
Population dynamics during periods of lake eutrophication or rehabilitation are primarily controlled by phosphorus.
-
Proliferation of P. rubescens is optimal at meso- to moderately eutrophic conditions.
-
Benefits from climate warming are restricted to the winter signal transmitting weak climate forcing during late spring and early summer (transition period from vernal overturn to the on-set of thermal stratification). Longer periods of summer stratification showed no advantage for population development.
-
The annual average long-term pattern indicates that population dynamics of P. rubescens are different from the development of total phytoplankton during the period of stratification.
References
Achleitner, D., H. Gassner & A. Jagsch, 2007. Die limnologische Langzeitentwicklung des Mondsees und Irrsees. Schriftenreihe BAW, Band 26: 3–17.
Adler, M., F. Gervais & U. Siedel, 2000. Phytoplankton species composition in the chemocline of mesotrophic lakes. Archiv Hydrobiologie, Advances in Limnology 55: 513–530.
Almodóvar, A., G. G. Nicola & M. Nuevo, 2004. Effects of a bloom of Planktothrix rubescens on the fish community of a Spanish reservoir. Limnetica 23: 167–178.
Anagnostidis, K. & J. Komárek, 1988. Modern approach to the classification system of cyanophytes—3 Oscillatoriales. Archiv Hydrobiologie 80: 327–472.
Anneville, O., S. Souissi, S. Gammeter & D. Straile, 2004. Seasonal and inter-annual scales of variability in phytoplankton assemblages: comparison of phytoplankton dynamics in three peri-alpine lakes over a period of 28 years. Freshwater Biology 49: 98–115.
Bachmann, H., 1897. Das Burgunderblut im Baldeggersee. Biologische Centralblätter 7: 230–241.
Chorus, I., M. Dokulil, E. Lammens, M. Manca, L. Naselli-Flores, B. Nixdorf, G. Persson, D. Schindler, D. Straile, I. Tártrai, R. Tadonléké & E. Willén, 2011. Restoration responses of 19 lakes: are TP thresholds common? In I. Chorus & I. Schauser (eds), Oligotrophication of Lake Tegel and Schlachtensee, Berlin Analysis of system components, causalities and response thresholds compared to responses of other waterbodies, Federal Environment Agency (Umweltbundesamt), Dessau-Roßlau, Germany: 84–102. Available at http://www.uba.de/uba-info-medien-e/4144.html.
Cullen, J. J., 1982. The deep chlorophyll maximum layer: comparing vertical profiles of chlorophyll a. Canadian Journal Fisheries Aquatic Science 39: 791–803.
Cuypers, Y., B. Vinçon-Leite, A. Groleau, B. Tassin & J.-F. Humbert, 2011. Impact of internal waves on the spatial distribution of Planktothrix rubescens (cyanobacteria) in an alpine lake. ISME Journal 5: 580–589.
Davis, P. A., M. Dent, J. Parker, C. S. Reynolds & A. E. Walsby, 2003. The annual cycle of growth rate and biomass change in Planktothrix spp. in Blelham Tarn, English Lake District. Freshwater Biology 48: 852–867.
De Candolle, A. P., 1825. Notice sur la matière qui a coloré en rouge le Lac de Morat au printemps de 1825. Mémoires Société physico historié naturel de Genève 3: 29–37.
Dodds, W. K. & J. J. Cole, 2007. Expanding the concept of trophic state in aquatic ecosystems: it’s not just the autotrophs. Aquatic Sciences 69: 427–439.
Dokulil, M. T., 1988. Seasonal and spatial distribution of cryptophycean species in the deep, stratifying, alpine lake Mondsee and their role in the food web. Hydrobiologia 161: 185–201.
Dokulil, M. & C. Skolaut, 1986. Succession of phytoplankton in a deep stratifying lake: Mondsee, Austria. Hydrobiologia 138: 9–24.
Dokulil, M. & K. Teubner, 2000. Cyanobacterial dominance in lakes. Hydrobiologia 438: 1–12.
Dokulil, M. T. & K. Teubner, 2005. Do phytoplankton assemblages correctly track trophic changes? Assessment from contemporary and palaeolimnological data. Freshwater Biology 50: 1594–1604.
Dokulil, M. T. & K. Teubner, 2011. Eutrophication and climate change: present situation and future scenarios. In A. A. Ansari, S. S. Gill, G. R. Lanza & W. Rast (eds), Eutrophication: Causes, Consequences and Control: 1–16.
Dokulil, M. T., A. Jagsch, G. D. George, O. Anneville, T. Jankowski, B. Wahl, B. Lenhart, T. Blenckner & K. Teubner, 2006. Twenty years of spatially coherent deep-water warming in lakes across Europe related to North-Atlantic Oscillation. Limnology Oceanography 51: 2787–2793.
Dokulil, M. T. K. Teubner, A. Jagsch, U.Nickus, R. Adrian, D. Straile, T. Jankowski, A. Herzig & J. Padisák, 2010. The impact of climate change on lakes in central Europe. In George, D. G. (ed.), The Impact of Climate Change on European Lakes, Aquatic Ecology Series (J. Huisman, ed.), Springer, New York: 387–410.
Edmondson, W. T., G. C. Anderson & D. R. Peterson, 1956. Artificial eutrophication of Lake Washington. Limnology Oceanography 1: 47–53.
Ernst, B., S. J. Hoeger, E. O’Brien & D. R. Dietrich, 2009. Abundance and toxicity of Planktothrix rubescens in the prealpine Lake Ammersee, Germany. Harmful Algae 8: 329–342.
Etemad-Shahidi, A. & J. Imberger, 2001. Anatomy of turbulence in thermally stratified lakes. Limnology Oceanography 46: 1158–1170.
Findenegg, I., 1969. Die Eutrophierung des Mondsees im Salzkammergut. Wasser- und Abwasser-Forschung 4: 139–144.
Findenegg, I., 1972. Die Auswirkung der Eutrophierung einiger Ostalpenseen auf die Lichttransmission ihres Wassers. Wetter und Leben 24: 110–118.
Findenegg, I., 1973. Vorkommen und biologisches Verhalten der Blaualge Oscillatoria rubescens DC. in den österreichischen Alpenseen. Carinthia II 163/83: 317–330.
Ford, D. E. & M. C. Johnson, 1983. An assessment of reservoir density currents and inflow processes. Technical report E-83-7, U.S. Army Corps of Engineering Waterways Experiment Station, Vicksburg, MS.
Fott, J., M. Blažo, E. Stuchlík & O. Strunecký, 1999. Phytoplankton in three Tatra Mountain lakes of different acidification status. Journal of Limnology 58: 107–116.
Garbrecht, J. & G. P. Fernandez, 1994. Visualization of trends and fluctuations in climatic records. Water Resources Bulletin 30: 297–306.
Gerhardt, V. & U. Bodemer, 1998. Delayed fluorescence spectroscopy a method for automatic determination of phytoplankton composition of freshwaters and sediments (interstitial) and of the algal composition of benthos. Limnologica 28: 313–322.
Goodwin, T. W., 1976. Chemistry and biochemistry of plant pigments, Vol. 2. Academic Press, London.
Greisberger, S. & K. Teubner, 2007. Does pigment composition reflect phytoplankton community structure in differing temperature and light conditions in a deep alpine lake? An approach using HPLC and delayed fluorescence (DF) techniques. Journal of Phycology 43: 1108–1119.
Griffiths, M., 1978. Specific blue-green algal carotenoids in sediments of Esthwaite Water. Limnology Oceanography 23(4): 777–784.
Guiry, M. D. & G. M. Guiry, 2011. AlgaeBase. World-wide electronic publication, National University of Ireland, Galway. Accessed 15 October 2011, http://www.algaebase.org.
Holland, D. P. & A. E. Walsby, 2008. Viability of the cyanobacterium Planktothrix rubescens in the cold and dark, related to over-winter survival and summer recruitment in Lake Zürich. European Journal Phycology 43: 179–184.
Hurrel, J. W., Y. Kushnir & M. Visbeck, 2001. The North Atlantic Oscillation. Science 291: 603–605.
Jagsch, A., 1979. Limnologische Untersuchungen von 1973–1978. Reinhaltungsverband Mondseeland, Mondsee.
Jewson, D. H. & M. Dokulil, 1982. Adenylate energy charge measurements in freshwater microbial studies. Journal of Ecology 70: 595–606.
Kaiblinger, C., S. Greisberger, K. Teubner & M. T. Dokulil, 2007. Photosynthetic efficiency as a function of thermal stratification and phytoplankton size structure in an oligotrophic alpine lake. Hydrobiologia 578: 29–36.
Karrer, P. & J. Rutschmann, 1944. Beitrag zur Kenntnis der carotenoide aus Oscillatoria rubescens. Helvetica Chimica Acta 27: 1691–1695.
Komárek, J. & J. Komárkova, 2004. Taxonomic review of the cyanoprokaryotic genera Planktothrix and Planktothricoides. Czech Phycology 4: 1–18.
Konopka, A., 1982. Physiological ecology of a metalimnetic Oscillatoria rubescens population. Limnology Oceanography 27: 1154–1161.
Kurmayer, R., E. Schober, L. Tonk, P. M. Visser & G. Christiansen, 2011. Spatial divergence in the proportions of genes encoding toxic peptide synthesis among populations of the cyanobacterium Planktothrix in European lakes. FEMS Microbiology Letters 317(2): 127–137.
Lami, A., A. Marchetto, R. Lo Bianco, P. G. Appleby & P. Guilizzoni, 2000. The last ca 2000 years palaeolimnology of Lake Candia (N. Italy): inorganic geochemistry, fossil pigments and temperature time-series analyses. Journal of Limnology 59(1): 31–46.
Livingstone, D. M. & F. Schanz, 1994. The effects of deepwater siphoning on a small, shallow lake: a longterm case study. Archiv Hydrobiologie 132: 15–44.
Micheletti, S., F. Schanz & A. E. Walsby, 1998. The daily integral of photosynthesis by Planktothrix rubescens during summer stratification and autumnal mixing in Lake Zürich. New Phytologist 139: 233–246.
Mildner, J., M. Friedl & M. Reichmann, 2010. Ergebnisbericht Qualitätselement Phytoplankton. GZÜV PHP 2010 Oberösterreich. Amt der Oberösterreichischen Landesregierung: 126 pp.
Nõges, P., O. Anneville, L. Arvola, T. Blenckner, D. G. George, D. G., T. Jankowski, M. Järvinen, S. C. Maberly, J. Padisák, D. Straile, K. Teubner & G. Weyhenmeyer. 2010. The impact of variations in the climate on seasonal dynamics of phytoplankton. In: George, D. G. (ed), The Impact of Climate Change on European Lakes, Aquatic Ecology Series (J. Huisman, ed.). Springer, New York: 253–276.
Ostermaier, V. & R. Kurmayer, 2010. Application of real-time PCR to estimate toxin production by the cyanobacterium Planktothrix sp. Applied and Environment Microbiology 76: 3495–3502.
Padisák, J., É. Hajnal, L. Krienitz, J. Lakner & V. Üveges, 2010. Rarity, ecological memory, rate of floral change in phytoplankton—and the mystery of the Red Cock. Hydrobiologia 653: 45–64.
Pearl, H. W. & J. F. Ustach, 1982. Blue-green algal scums: an explanation for their occurrence during freshwater blooms. Limnology Oceanography 27: 212–217.
Reynolds, C. S., 1992. Dynamics, selection and composition of phytoplankton in relation to vertical structure in lakes. Archiv Hydrobiologie Beihefte. Ergebnisse Limnologie 35: 13–31.
Rowan, K. S., 1989. Photosynthetic Pigments of Algae. Cambridge University Press, Cambridge: 334 pp.
Rücker, J., J.-G. Kohl & K. Kaiser, 1995. Different responses of carotenoids and chlorophylls to variations of growth-limiting factors in three filamentous blue-green algae. Archiv Hydrobiologie, Algological Studies 77: 51–65.
Salmaso, N., G. Morabito, R. Mosello, L. Garibaldi, M. Simona, F. Buzzi & D. Ruggio, 2003. A synoptic study of phytoplankton in the deep lakes south of the Alps (lakes Garda, Iseo, Como, Lugano and Maggiore). Journal of Limnology 62: 207–227.
Schanz, F. & E. A. Thomas, 1981. Reversal of eutrophication in Lake Zürich. W. H. O. Water Quality Bulletin 6: 108–112.
Schay, G. & W. Wimmer, 2010. Gewässerschutzbericht Seenaufsicht in Oberösterreich. Gewässerschutzbericht 43: 1–287 + Anhang (CD), Direktion Umwelt und Wasserwirtschaft, Abteilung Oberflächengewässerwirtschaft (H.g.), Land Öberösterreich.
Schindler, D. W., 2006. Recent advances in the understanding and management of eutrophication. Limnology Oceanography 51: 356–363.
Schlüter, L., K. Garde & H. Kaas, 2004. Detection of the toxic cyanobacteria Nodularia spumigena by means of a 4-keto-myxoxanthophylllike pigment in the Baltic Sea. Marine Ecology Progress Series 275: 69–78.
Schreurs, H., 1992. Cyanobacterial dominance. Relations to eutrophication and lake morphology. Doctoral Thesis, University Amsterdam: 198.
Schröder, R., 1969. Ein summierender Wasserschöpfer. A summarizing water sampler. Archiv für Hydrobiologie 66: 141–143.
Schultze, E., 1985. Carotenoids from selected cores of the Trumer lakes and the Mondsee (trophic development and human impact). In Danielopol, D., R. Schmidt & E. Schultze (eds), Contributions to the Palaeolimnology of the Trumer Lakes (Salzburg) and the Lakes Mondsee, Attersee and Traunsee (Upper Austria). Publication of the Institute of Limnology, Austrian Academy of Sciences, Mondsee: 52–64.
Schwarz, K., 1979a. Das Phytoplankton des Mondsees. Arb. Lab. Weyregg 3: 83–92.
Schwarz, K., 1979b. Entwicklung des Phytoplanktons im Mondsee von 1968–1978. Österreichs Fischerei 32: 213–216.
Schwarz, K., 1981. Das Phytoplankton im Mondsee 1980. Arbeiten aus dem Labor Weyregg 5: 110–118.
Skulberg, O. M., 1977. Some observations on red-coloured species of Oscillatoria (Cyanophyceae) in nutrient-enriched lakes of Southern Norway. Norwegian Institute Water Research, Oslo: 47 pp.
Skulberg, O. M. & R. Skulberg, 1985. Planktic species of Oscillatoria (Cyanophyceae) from Norway. Characterization and classification. Archiv Hydrobiologie Suppl. 71, Algological Studies 38(39): 157–174.
Smith, V. H. & D. W. Schindler, 2009. Eutrophication science: where do we go from here? Trends in Ecology & Evolution 24: 201–207.
Sonntag, B., T. Posch, S. Klammer, K. Teubner & R. Psenner, 2006. Ciliates and flagellates in an oligotrophic deep alpine lake: contrasting variability with seasons and depths. Aquatic Microbial Ecology 43: 193–207.
Sotton, B., O. Anneville, S. Cadel-Six, I. Domaizon, S. Krys & J. Guillard, 2011. Spatial match between Planktothrix rubescens and whitefish in a mesotrophic peri-alpine lake: evidence of toxins accumulation. Harmful Algae 10: 749–758.
Steinberg, C. E. & H. M. Hartmann, 1988. Planktonic bloom-forming Cyanobacteria and the eutrophication of lakes and rivers. Freshwater Biology 20: 279–287.
Suda, S., M. M. Watanabe, S. Otsuka, A. Mahakahant, W. Yongmanitchai, N. Nopartnaraporn, Y. Liu & J. G. Day, 2002. Taxonomic revision of water bloom-forming species of oscillatorioid cyanobacteria. International Journal Systematics Evolution & Microbiology 52: 1577–1595.
Talling, J. F., H. J. Spencer & H. R. Morison, 2005. The ‘shock period’: dynamics of phytoplankton during the spring–summer transition of a stratifying English lake. Hydrobiologia 533: 15–28.
Teubner, K., M. Tolotti, S. Greisberger, H. Morscheid, M. T. Dokulil & H. Morscheid, 2003. Steady state phytoplankton in a deep pre-alpine lake: species and pigments of epilimnetic versus metalimetic assemblages. Hydrobiologia 502: 49–64.
Teubner, K., Ha. Morscheid, M. Tolotti, H. Morscheid & V. Kucklentz, 2004. Bedingungen für das Auftreten toxinbildender Blaualgen in bayerischen Seen und anderen stehenden Gewässern. Informationsberichte Bayer. Landesamt für Wasserwirtschaft, München: 84 pp.
Tolotti, M., H. Thies, U. Nickus & R. Psenner, 2012. Recent phytoplankton changes in a restored mountain lake as a response to nutrient and climate. Hydrobiologia (this volume).
Vallentyne, J. R., 1957. Principles of modern limnology. American Scientist 45: 218–244.
Vollenweider, R. A., 1966. Advances in defining critical loading levels for phosphorus in lake eutrophication. Memorie Istituto Italiana Idrobiologia 33: 53–83.
Walsby, A. E., 2005. Stratification by cyanobacteria in lakes: a dynamic buoyancy model indicates size limitations met by Planktothrix rubescens filaments. New Phytologist 168(2): 365–376.
Walsby, A. E. & F. Jüttner, 2006. The uptake of amino acids by the cyanobacterium Planktothrix rubescens is stimulated by light at low irradiances. FEMS Microbiology Ecology 58: 14–22.
Walsby, A. E., H. C. Utkilen & I. J. Johnsen, 1983. Buoyancy changes of a red coloured Oscillatoria agardhii. Lake Gjersjøen, Norway. Archiv für Hydrobiologie 97: 18–38.
Walsby, A. E., G. N. C. Dunn & P. A. Davis, 2004. Comparison of the depth where Planktothrix rubescens stratifies and the depth where the daily insolation supports its neutral buoyancy. New Phytologist 162: 133–145.
Walsby, A. E., F. Schanz & M. Schmid, 2006. The Burgundy-blood phenomenon: a model of buoyancy change explains autumnal water blooms by Planktothrix rubescens in Lake Zürich. New Phytologist 169: 109–122.
Wolfram, G., M. T. Dokulil, K. Donabaum, M. Reichmann, L. Schulz & K. Teubner, 2008. Leitfaden zur Erhebung der biologischen Qualitätselemente. Teil B2—Phytoplankton. 51 S., BMLFUW, Wien. Accessed 10 January 2012, http://wisa.lebensministerium.at/article/articleview/74897/1/27032/.
Wolfram, G., R. Niedermayr & K. Donabaum, 2010. Bewertung des ökologischen Zustandes von 5 Seen in Oberösterreich anhand des Biologischen Qualitätselements Phytoplankton im Rahmen der GZÜV 2009. Bericht Nr. 07/021-B03, Amt der OÖ Landesregierung: 124 pp.
Wundsch, H., 1940. Beiträge zur Fischereibiologie märkischer Seen. VI. Die Entwicklung eines besonderen Seentypus (H2S-Oscillatorienseen) im Fluß-Seengebiet der Spree und Havel und seine Bedeutung für die fischereibiologischen Bedingungen in dieser Region. Zeitschrift für Fischerei 38: 444–658.
Yamazaki, H., H. Honma, T. Nagai, M. J. Doubell, K. Amakasu & M. Kumagai, 2010. Multilayer biological structure and mixing in the upper water column of Lake Biwa during summer 2008. Limnology 11: 63–70.
Zotina, T., O. Köster & F. Jüttner, 2003. Photoheterotrophy and light-dependent uptake of organic and organic nitrogenous compounds by Planktothrix rubescens under low irradiance. Freshwater Biology 48: 1859–1872.
Acknowledgments
So many people have helped during sampling and analysing over the four decades reported here that is not possible to name them all. We are deeply indebted to everyone who has helped in compiling this large data set. Particular thanks are extended to Claudia Skolaut for invaluable help in the field and laboratory, as well as to Liselotte Eisl for her precise analytical techniques and results in the chemistry lab. We also acknowledge continuous support, collaboration and discussion by Albert Jagsch and his co-workers from the Institut für Gewässerökologie, Fischereibiologie und Seenkunde, Bundesamt für Wasserwirtschaft, Scharfling. We would also like to thank Hubert Blatterer from Amt der OÖ. Landesregierung, Direktion Umwelt und Wasserwirtschaft, Abt. Oberflächengewässerwirtschaft/Gewässerschutz for making data for 2005–2010 available to us. Supplementary environmental data on diurnal cycles were kindly provided by members of the workshop on ‘high-resolution measurements in space and time on the plankton community in Mondsee’ (High Moon). We also thank two anonymous reviewers for constructive criticism and Dave Jewson for improving the English.
Open Access
This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
Author information
Authors and Affiliations
Corresponding author
Additional information
Guest editors: N. Salmaso, L. Naselli-Flores, L. Cerasino, G. Flaim, M. Tolotti & J. Padisák / Phytoplankton responses to human impacts at different scales: 16th workshop of the International Association of Phytoplankton Taxonomy and Ecology (IAP)
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
About this article
Cite this article
Dokulil, M.T., Teubner, K. Deep living Planktothrix rubescens modulated by environmental constraints and climate forcing. Hydrobiologia 698, 29–46 (2012). https://doi.org/10.1007/s10750-012-1020-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10750-012-1020-5
Keywords
- Deep chlorophyll maximum
- Long-term
- NAO
- Eutrophication
- Re-oligotrophication
- Cyanobacteria
- Oscillaxanthin