Open Access Article
Tomáš Matoušek
a,
Michaela Prokopová
b,
Martin Pivokonský
b and
Montserrat Filella
*c
aInstitute of Analytical Chemistry of the Czech Academy of Sciences, Veveří 97, 602 00 Brno, Czech Republic. E-mail: matousek@iach.cz
bInstitute of Hydrology of the Czech Academy of Sciences, Pod Paťankou 30/5, 160 00 Prague 6, Czech Republic. E-mail: prokopova@ih.cas.cz; pivo@ih.cas.cz
cDepartment F.-A. Forel for Environmental and Aquatic Sciences, University of Geneva, Boulevard Carl-Vogt 66, CH-1205 Geneva, Switzerland. E-mail: montserrat.filella@unige.ch
First published on 26th March 2026
Although germanium is increasingly important for modern technologies, its occurrence and biogeochemical behaviour in natural waters remain insufficiently characterized, particularly in freshwater environments; herein, we investigate its speciation and seasonal dynamics in two contrasting drinking water reservoirs. The speciation of dissolved germanium, including inorganic, methyl-, and dimethyl-germanium, was monitored monthly over the course of a year in two drinking water reservoirs. The sampling covered both the productive and winter periods. The study sites were Vrchlice, a eutrophic reservoir in Central Bohemia that becomes anoxic in summer, and Souš, an oligotrophic reservoir in the mountainous region of North Bohemia, which was historically affected by acid rain. Speciation was measured using hydride generation-cryotrapping-inductively coupled plasma-mass spectrometry (HG-CT-ICP-MS/MS). The two reservoirs showed markedly different concentrations of inorganic Ge (iGe). In winter, before snowmelt, iGe concentrations were 3.1 (±0.1) ng L−1 in Vrchlice and 21.3 (±0.3) ng L−1 in Souš. Throughout the year, in Vrchlice, iGe developed nutrient-type vertical profiles resembling those of silicon, consistent with the presence of diatoms. In contrast, no such pattern was observed in Souš, where diatoms were absent. Both reservoirs showed evidence of Ge fluxes from sediments during summer. Methylated Ge species exhibited conservative behaviour. In Vrchlice, average concentrations were 0.34 ng L−1 (±0.04) for methylgermanium and 0.09 ng L−1 (±0.02) for dimethylgermanium. In Souš, concentrations were lower, with methylgermanium near the limit of quantification at ∼0.07 ng L−1 and dimethylgermanium below the detection limit. These findings are consistent with earlier observations from Lake Geneva. They confirm that freshwater systems lack an apparent in situ source of methylated Ge species and that the inorganic form dominates, in contrast to marine environments.
Environmental significanceGermanium has long been considered a geochemical twin of silicon and used to trace silicon-related processes such as rock weathering or ocean productivity. However, it has received little attention in freshwater biogeochemistry, partly due to analytical challenges. After developing and validating suitable methods, we studied germanium over a year in two contrasting reservoirs with different physical, chemical, and trophic conditions, including pollution legacies. Our results confirm that the presence of diatoms strongly influences inorganic germanium cycling. Methylated forms of germanium are also present, though at much lower concentrations, and their origin remains unknown. The ability to measure all these species now opens new questions about their environmental behaviour, especially as germanium gains attention as a technology-critical element. |
In rivers, research has focused on germanium's substitution for silicon in silicate minerals, offering insights into silicate weathering. In oceans, its chemical similarity to silicon has made it a valuable proxy in studying the silicon cycle, which plays a key role in both ocean ecology and the global carbon cycle. Dissolved inorganic germanium (iGe) concentrations in seawater closely correlate with dissolved silica, reflecting the uptake by diatoms and other biosilicifiers. In addition to iGe, germanium also occurs in methylated forms, which exhibit markedly different behaviour. While iGe shows a nutrient-like distribution, monomethyl- (MGe) and dimethyl-germanium (DMGe) are largely inert both biologically and chemically and typically display vertical profiles. These methylated species are more abundant than iGe in seawater, yet their sources remain uncertain. Proposed origins include microbial activity in sediments,5 hydrothermal vents, and riverine inputs.6,7
In contrast to marine systems, germanium behaviour in lakes is much less studied, particularly with respect to its methylated forms. This knowledge gap likely arises from analytical challenges, as concentrations frequently approach or fall below detection limits. Nevertheless, studying germanium dynamics in lakes could provide valuable insights into silicate weathering, ecosystem productivity, and the role of microbial or sedimentary processes in its cycling. To help fill this gap, and building on our previous study in Lake Geneva,8 we investigated germanium speciation over a year in two Bohemian drinking water reservoirs with contrasting chemical and trophic conditions. Unlike Lake Geneva, the largest lake in Western Europe with a surface area of 580.1 km2 and a volume of 89 km3, these two reservoirs are considerably smaller and differ markedly from each other (Table 1). Vrchlice, located in Central Bohemia, is a eutrophic reservoir that becomes anoxic in summer. In contrast, Souš, situated in North Bohemia, is oligotrophic and has been significantly impacted by acid rain (Fig. 1).
| Souš | Vrchlice | ||
|---|---|---|---|
| River | Name | Černá Desná | Vrchlice |
| Catchment area (km2) | 13.77 | 97.4 | |
| Mean flow (m3 s−1) | 0.505 | 0.396 | |
| 100 year flood flow (m3 s−1) | 89.8 | 50.5 | |
| Reservoir | Water surface (ha) | 68.7 | 93.5 |
| Active storage (m3) | 4.585 mil | 7.890 mil | |
| Flood storage (m3) | 2.476 mil | 1.463 mil | |
| Reservoir capacity (total) (m3) | 7.480 mil | 9.785 mil | |
| Population served | 70 000 |
50 000 |
Following common practice in environmental sciences, concentrations are expressed in gram units except when calculating molar ratios.
000 inhabitants in the surrounding area.9 The area is characterized as moderately warm and moderately humid, with an average annual temperature of 9 °C and an annual precipitation of 550–600 mm (https://www.chmi.cz/namerena-data/historicka-data/mapy-srazkovych-uhrnu). More than half of the catchment area is covered by the arable land, with wheat, rapeseed, maize, and barley as the main crops. In recent years, increased sedimentation has been observed in the reservoir, a process that has been the focus of several studies.10,11
The bedrock of the Vrchlice reservoir and its catchment consists primarily of Variscan-age gneisses, micaschists, and migmatites, with local occurrences of Upper Cretaceous sandstones. The reservoir is located near the southern section of the Kutná Hora polymetallic ore district, which exhibits anomalous Ag–Sb mineralization along its southern margin, including minor occurrences of arsenic and germanium.12 However, this mineralization is located approximately 2 km downstream to the west of the reservoir and does not influence the chemical composition of its waters.
To support the reservoir's hydrological balance, part of the flow from the neighbouring Bílé Desná basin can be diverted into the Souš reservoir. Water is channelled through a concrete pipe from the Bílá Desná River, then through a 1145 m long gallery to an unnamed tributary feeding the reservoir. Two underdrains, located in a tunnel excavated into the left rocky slope, serve to drain the water from the reservoir.
The Jizerské Mountains, part of the so-called “Black Triangle”, were among the first and most heavily impacted areas globally by acid atmospheric deposition. Anthropogenic acidification, likely beginning as early as the mid-1940s, severely affected surface waters and watersheds on the upper plateau.15 The granite bedrock and shallow podzolic soils in the region are particularly vulnerable to acidification. By the 1980s, nearly the entire Souš reservoir basin had been deforested, resulting in increased transport of organic matter and elevated aluminium concentrations. These conditions, especially during spring thaw, made it difficult to treat the cold, acidic water to meet drinking water standards. To improve water treatment, aerial liming of the reservoir was carried out each spring between 1996 and 2015.16 Today, the watershed is once again fully forested.
In addition, samples were taken from the tributaries of the Vrchlice and Souš reservoirs at three points each (IV1–IV3) and (IS1–IS3) on 14 and 15 May 2024, respectively; see Fig. SI1a and SI1b.
A complete overview of the sampling and preservation strategies used for all analyses is shown in Fig. SI2. Physical parameters were measured in situ using a multimeter probe HI 98494 (Hanna Instruments; Czechia) for pH (accuracy: ±0.02 pH), ORP (±1.0 mV), conductivity (±1 µS cm−1), dissolved oxygen (±0.1%), and temperature (±0.15 °C). Water samples were collected using a Ruttner water sampler (2theta; Czechia). Aliquots for laboratory analysis of hydrochemical parameters were collected in 1 L polyethylene bottles pre-cleaned with acid and analysed the same day. For trace element analysis by ICP-OES (Agilent 5110 Series, Agilent Technologies, USA) and for Ge, As and Sb speciation analysis, sample aliquots were filtered in situ using 0.45 µm syringe filters (Macherey-Nagel regenerated cellulose, CHROMAFIL Xtra RC-45/25), previously validated for fast filtration and non-detectable blanks. Filtrates were collected in polypropylene centrifuge vials (Roth) and preserved by adding 150 µL of 0.2 M Na2EDTA (Sigma) per 15 mL of sample. Two additional aliquots were preserved by adding 100 µL of concentrated HNO3 per 15 mL of sample.17 For ICP-OES analysis, samples were diluted 1
:
1 by 1% HNO3. Note that silicon was measured by ICP-OES and is not colorimetric “soluble silica”. All preserved samples were stored at 4 °C in the dark.
Additional environmental data were provided by the reservoir manager Povodí Labe, state enterprise (PLA). These include bathymetry, water levels and renewal, temperature, dissolved oxygen, and chlorophyll a (Chl a) profiles for 2022–2024, as well as integrated phytoplankton data based on species counts and biomass. Profiles of temperature, dissolved oxygen, and Chl a were recorded at ten sampling points in Vrchlice (yellow points in Fig. SI1a) and three points in Souš (yellow points in Fig. SI1b). Graphical representations of these profiles, with sampling dates, are shown in Fig. SI3. Integrated phytoplankton data correspond to profile 10 in Vrchlice and profile 3 in Souš, with sampling dates indicated in the corresponding figure.
Analyses were performed using two aliquots of EDTA-stabilised samples. Inorganic Ge was determined without pre-reduction within 1–4 days after sampling to avoid the slow formation of the iGe–EDTA complex.17 Methylated species (MGe and DMGe) were analysed in aliquots treated with L-cysteine, between 3 and 8 days after sampling (with two exceptions: 10 and 17 days in June and December 2023, respectively).
Some selected samples were reanalysed using a single-element method (hereinafter referred to as the ‘Ge-specific method’) under HG conditions specifically adjusted for the analysis of Ge speciation and with identical CT and ICP-MS/MS detection, as described in detail in García-Figueroa et al. (2021).18 The samples were measured in a single aliquot with the reaction modifier L-cysteine present in a cleaned-up buffer, rather than adding it to each sample. This reduces blank concentrations and variability, resulting in better LODs: 0.04 ng L−1 for iGe, 0.004 ng L−1 for MGe and 0.016 ng L−1 for DMGe.
Due to seasonal changes in total water volume, stock calculations were performed for germanium, silicon and iron (Fig. 4 and SI6). These calculations were based on lake bathymetry, dividing the water column into depth layers, each aligned with a discrete sampling interval containing a single measured concentration. Within each layer, the concentration was assumed to be uniform. The mass of each substance per layer was determined by multiplying the concentration by the layer's volume, and the total stock was calculated by summing the masses across all layers.
All depth values in the profiles are referenced from the water surface (0 m), regardless of fluctuations of the water level. As a result, in some sampling campaigns, bottom sampling points fell below the actual water column and disturbed the sediments in Vrchlice, causing sharp increases in turbidity and other parameter values. These are noted in the SI Excel file highlighted in grey and have not been included in the figures.
Relatively constant water volumes were maintained in both Vrchlice and Souš. During periods of high inflow, such as snowmelt or heavy rainfall, much of the reservoir water was rapidly replaced. This rapid renewal can significantly affect the concentrations of chemical species and must be considered when interpreting their annual cycles. Fig. 4a and b show the water levels on sampling dates and the 20-day water renewal for both reservoirs. A 100% renewal value indicates that the entire reservoir volume was replaced at least once in the previous 20 days. In both 2023 and 2024, near-complete water renewal occurred during the winter months and during isolated heavy rainfall events. The timing of these events varied: April–May in 2023 and September–October in 2024. By contrast, snowmelt occurs every winter, though with varying intensity. But, even snowfall patterns can differ greatly. For example, in Souš, where snow cover typically lasts from early November to late March, the 2023–2024 season saw a complete melt during a rainy period in early February, with no significant snowfall accumulation for the remainder of the winter.14
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| Fig. 4 Vrchlice (a) and Souš (b) water volumes (blue), 20 day water renewal (green) and standing stocks of iGe (magenta) over 2023–2024. MeGe standing stocks (violet) are also shown for Vrchlice. The relative error in the values of standing stocks mainly reflects the error of the analytical method, which lies between 3% and 5%.17 Red points show the sampling dates. | ||
Therefore, from a physical perspective, three distinct situations occur in both reservoirs, resulting in varying physical and chemical conditions that must be considered to understand the behaviour of germanium. From spring to autumn, thermal stratification develops – though it remains incomplete in Souš – and is accompanied by a significant decrease in water volume, likely due to drinking water extraction and the maintenance of ecological flow in the river. In December, complete mixing of the water occurs in Vrchlice, followed by an almost total renewal of the reservoir water during winter. In Souš, however, the mixing in November coincides with substantial water renewal, making it difficult to distinguish the effects of each process, unlike in Vrchlice, where the two can be separated more clearly.
The two reservoirs show markedly different chemical characteristics. Conductivity, which broadly reflects inorganic ion content, highlights this contrast. In Souš (Fig. SI5), conductivity remains low and stable around 25 µS cm−1, with a small drop in January. In Vrchlice (Fig. SI4), values are much higher (∼390 µS cm−1), though a similar seasonal decrease is observed. The differences in conductivity reflect contrasting geology: Souš drains a granitic basin, producing very soft water, while Vrchlice drains a carbonate-rich catchment. Corresponding calcium concentrations support this: Vrchlice averages 34 mg L−1 (range: 29–42), while Souš has a mean of 1.5 mg L−1 (range: 1.1–1.9) (Fig. SI4 and SI5).
pH values also differ between the reservoirs. In Vrchlice, pH reflects carbonate buffering, with vertical variations linked to photosynthesis in the epilimnion (OH− production) and algal mineralisation in the hypolimnion (H+ production) (Fig. SI4). In Souš, pH values are more acidic (5.6–7.0), consistent with its geology and acidification history (Fig. SI5). In both systems, winter inflows correspond to noticeable pH decreases.
Natural organic matter (NOM) composition differs between the two reservoirs, as indicated by SUVA (specific UV absorbance) values. SUVA, which correlates with NOM aromaticity,19 provides an estimate of the humic character of NOM. Higher values were observed in Souš (3.6 L mg−1 m−1) than in Vrchlice (1.9 L mg−1 m−1), see the SI Excel file, likely reflecting the humic-rich catchment in Souš, which includes deciduous forests and swampy soils. SUVA values increased in both reservoirs during snowmelt and heavy rainfall events, though the effect was less pronounced in Souš. Similar trends have been reported elsewhere.20
Oxygen profiles (Fig. 2 and 3) illustrate clear differences in biological productivity. Vrchlice shows a pattern typical of productive systems, with the oxycline aligning with the thermocline. During winter mixing (December to February), the entire water column remained oxic, although full oxygen saturation was never reached. In the productive season, oxygen levels in the epilimnion became supersaturated, while anoxia developed in the hypolimnion by August–September 2023 below 7.5 m. Anoxia extended deeper in October (below 10 m) and November (below 15 m). In contrast, the water column in Souš never became fully anoxic, consistent with its lower productivity. An overview of the oxygen concentration depth evolution in both lakes during the years 2022, 2023 and 2024 is shown in Fig. SI3.
Phytoplankton biomass in Souš was low during the study period, ranging from 0.32 to 0.98 mg L−1 (SI Excel file). Species composition (Fig. 5a) showed a succession of taxa, with diatoms being nearly absent: they represented only 2% of biomass in June 2024 (outside our sampling period) and 0.2% in June 2023. In Vrchlice, phytoplankton biomass was higher (0.80–2.7 mg L−1) (SI Excel file), and the composition was markedly different, with two pronounced diatom peaks in April: 63% of total biomass in 2023 and 66% in 2024 (Fig. 5b). Historical data indicate that during Souš’s acidification period, its phytoplankton community was dominated by Dinophyta (Gymnodinium uberrimum), with very low species richness,21 similar to other strongly acidified lakes. According to Hořická et al.,15 the first signs of biological recovery (e.g. return of Daphnia longispina) appeared in the early 1990s. Further development was influenced by liming (since 1996) and the reintroduction of salmonid fish (Salvelinus fontinalis) between 1991 and 1998. Species richness has since increased, but Souš remains a very low-productivity system. The lack of diatoms in Souš is intriguing since it cannot be explained by past acidity only, as diatom microfossils are well preserved in lake sediments and widely used to track acidification and recovery.22–24 A plausible factor may be the elevated germanium concentrations. Germanium dioxide (GeO2) is a well-established diatom specific inhibitor, used in algal cultures to suppress diatom growth,25–27 believed to disrupt silica frustule formation by competing with silicon for uptake via SIT transporters.28,29 While concentrations in Souš are far lower than those used experimentally, persistent exposure may have chronically hindered diatom development.
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| Fig. 5 Seasonal evolution phytoplankton biomass in Souš (a) and Vrchlice (b) reservoirs. The same colour codes apply to both figures. | ||
Chlorophyl a concentrations are very different in both reservoirs (Fig. SI3) and confirm the difference in productivity and phytoplankton observations. In Souš (2022–2024), values ranged from 0 to 19.7 µg L−1 (median: 1.7 µg L−1), with only three samples exceeding 15 µg L−1, indicating very low productivity. In contrast, Vrchlice recorded values from 0 to 101.7 µg L−1 (median: 6.2 µg L−1).
In Vrchlice, silicon concentrations, illustrated by both lake profiles (Fig. 2) and box-and-whisker plots (Fig. SI4), exhibited a pattern typical of a biologically scavenged element. During the productive season, silicon was taken up by siliceous algae, leading to depletion in the photic zone and accumulation in the hypolimnion. During the May–November period of 2023, the reservoir's water volume decreased by approximately 25% (Fig. 4a), yet silicon stocks remained stable after an initial drop linked to the first diatom bloom (Fig. SI4). This likely reflects either recycling of silicon within the water column or replenishment from the Vrchlice inlet, effectively offsetting losses due to water abstraction. Following the extensive winter water renewal, silicon concentrations more than doubled, and the total stock tripled.
Iron in Vrchlice showed a different trend. From May to November, concentrations remained relatively stable, with some profile variation toward the end of the productive season, likely due to sediment fluxes (Fig. SI4). However, between December and February, iron concentrations increased sharply, by a factor of 14. This spike may have resulted from soil runoff following heavy rainfall. Notably, when the Vrchlice inlet in Malešov was sampled, it contained 0.18 mg L−1 iron, substantially higher than the average concentration in the lake in December (0.016 mg L−1).
In Souš, silicon displayed consistent vertical profiles throughout the year, showing no signs of biological uptake or internal lake sources. Such a pattern is consistent with the near absence of diatoms (Fig. 3). Over the same May–November period, silicon concentrations increased steadily by about 20% (Fig. SI5). Although the reservoir's water volume declined by around 25%, the total stock of silicon declined much less. These observations indicate a continuous input of silicon from the watershed. Supporting this, a concentration of 6.1 ng L−1 was measured on the only occasion when an influent stream was sampled. In December, mixing combined with significant water renewal maintained a similar silicon concentration, but with an increased total stock. Conversely, when large volumes of water were flushed from the reservoir, both silicon concentrations and total stock declined, pointing to an inflow of water with different chemical characteristics.
Iron in Souš followed a contrasting pattern. Throughout the May–November period, iron concentrations increased 3.2-fold (Fig. 3 and SI5), and the shape of the vertical profiles suggested the gradual establishment of a sediment source in the hypolimnion. This developed under conditions of limited water mixing and oxygen depletion near the bottom. As a result, the iron stock increased approximately fourfold (Fig. SI6), due to a combination of water loss and rising concentrations. In winter, after large volumes of water were flushed from the reservoir, both iron concentrations and stock dropped by fourfold and fivefold, respectively.
Beyond differences in concentration, iGe also exhibits distinct behaviours in each reservoir. In Vrchlice, vertical profiles of iGe show patterns typical of a biologically active nutrient, closely mirroring those of silicon. This behaviour is similar to that observed in Lake Geneva8 and in marine environments, where diatom uptake depletes both Si and Ge in surface waters, followed by their regeneration through dissolution or sediment diffusion at greater depths.4 As previously noted, between May and November 2023, the water volume in Vrchlice decreased by approximately 25% (Fig. 4a). Despite this reduction, the total iGe stock remained relatively stable, except for a marked decline in June, which coincided with the diatom bloom. This suggests that, as with silicon, external or internal inputs of iGe compensated for losses due to outflow and biological uptake, resulting in a near steady-state condition. Interestingly, available data indicate that riverine iGe concentrations are similar to those within the reservoir, making inflow an unlikely explanation for reaching this balance in such a short period of time. Instead, sediment fluxes – evident in some vertical profiles – are a plausible source. Although disturbances during near-sediment sampling obscured natural gradients that could confirm in situ release and help estimate fluxes, the exceptionally high iGe concentrations recorded (often exceeding 25 ng L−1) strongly suggest that sediment interstitial waters serve as a significant iGe source to the water column. These disturbed samples also showed elevated silicon concentrations, though never more than twice the levels in the overlying water. Following the major water renewal event in winter, iGe concentrations remained constant – showing a behaviour notably different from that of silicon, and the total iGe stock increased in proportion to the rise in water volume. Subsequently, iGe concentrations stabilized, and a new cycle began in spring, marked by another decline likely linked to biological uptake. Overall, iGe cycling in Vrchlice appears to be driven by a dynamic interplay of factors: diatom uptake during productive months, sedimentary release of iGe, minor riverine contributions, and seasonal hydrological changes.
In contrast to Vrchlice, Souš shows no signs of nutrient-like cycling. iGe concentrations increase progressively throughout the year, following a pattern similar to that of silicon, and without any evidence of biological uptake which is consistent with the absence of diatoms. Between August and October 2023, however, vertical profiles suggest an upward flux of germanium from sediments, a pattern not observed for silicon. This is likely driven by a concentration gradient between porewaters and the overlying hypolimnion under stable, unmixed conditions. Souš experienced a 25% decline in water volume between May and October 2023 (Fig. 4b). If no significant inputs or losses of iGe had occurred, one would expect a similar 25% decrease in total stock. However, iGe stocks declined by only ∼10%, while concentrations steadily increased (Fig. 2). This indicates a net internal input of iGe, most plausibly from sediment release, since riverine iGe concentrations, when measured in May, were lower than those within the reservoir. From November 2023 to April 2024, a net loss of ∼17 g of iGe was recorded. This likely reflects increased flushing due to rainfall or snowmelt, which overwhelmed internal inputs and transported iGe downstream. Under these conditions, iGe behaves more conservatively, governed by physical hydrology and diffusion-driven sediment fluxes. Unlike Vrchlice, Souš lacks a strong diatom-driven biological pump. As a result, iGe is not regularly deposited into sediments through biological cycling. The sediment stocks that appear to release germanium at certain times of the year most likely reflect legacy accumulation, particularly from past periods of intense coal burning.
Similar enrichment patterns and vertical profiles of iron, observed from spring to autumn in Souš (Fig. 3 and SI5) and, to a lesser extent, in Vrchlice (Fig. SI4), raise the possibility of coupled Fe–iGe cycling. In Vrchlice, this may help explain the different sediment release behaviour of germanium compared with silicon. One hypothesis is that iGe is sorbed onto iron oxyhydroxides and later released during reductive dissolution of iron under anoxic conditions in a process known in freshwater systems as the ‘iron wheel’.38 While some studies support the sequestration of iGe in iron-rich phases during sediment diagenesis39–41 and sorption onto iron hydroxides has been proposed as a control mechanism in rivers,34 others report contradictory findings,42,43 pointing instead to system-specific variability.
A principal component analysis (PCA) restricted to redox-sensitive variables (iGe, Fe, Mn, and dissolved oxygen) yields a dominant first component in Vrchlice (PC1 ≈ 76% of the variance), with positive loadings for iGe, Fe, and Mn and a negative loading for O2 (Fig. SI7a). This reflects a clear redox gradient and corroborates the interpretation derived from the vertical profiles, namely that Ge is mobilised under reducing conditions together with Fe and Mn. In contrast, the same analysis applied to Souš shows a less coherent structure, indicating a more limited role of redox processes (Fig. SI7b). PCA applied to variables such as iGe and Si does not provide additional insight, as it essentially reproduces the direct correlation already evident from the data and does not improve the mechanistic interpretation. For this reason, only the redox-focused PCA is retained as a complementary line of evidence.
In the Souš reservoir, where diatom activity is negligible, the Ge/Si ratio remains relatively stable around 2 µmol mol−1 throughout much of the year (Fig. SI5). At first sight, this could suggest an origin tied to rock and soil weathering, consistent with values expected from moderately leached catchments. However, the relatively high value is most probably due to the unusually high iGe concentrations linked to past accumulation during periods of intense atmospheric Ge deposition from coal combustion rather than to active soil processes. Moreover, during the summer months (July–September), when sediment-derived iGe fluxes increase (as shown in iGe concentration profiles), the Ge/Si ratio becomes more variable. This variability does not reflect a change in the weathering regime, but rather a fluctuation in iGe concentrations caused by internal reservoir processes such as release from the sediments, unrelated to contemporary weathering. In brief, in systems with significant non-weathering-related sources of iGe, such as sediment remobilization, the Ge/Si ratio can no longer be interpreted as a weathering proxy.
On the other hand, Vrchlice presents a different geochemical regime. Here, diatom uptake plays a significant role during productive months, resulting in low Ge/Si ratios (0.2–0.5 µmol mol−1, Fig. SI4). These values are in line with expectations for biological removal of Ge. However, in winter, large Si inflows not accompanied by corresponding Ge input sharply lower the Ge/Si ratio, again challenging a weathering-based interpretation when multiple processes are involved.
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| Fig. 6 Vertical profiles of methylgermanium and dimethylgermanium in the Vrchlice reservoir (49.9270392N, 15.2270806E) from May 2023 to May 2024. | ||
To improve precision and validate the behaviour of MGe species, selected samples from a single depth in both reservoirs and inlet samples were reanalysed using a Ge-specific analytical method18 with lower limits of detection. The results, shown in Table 2 and in the SI Excel file, confirm the initial measurements. The MGe/DMGe ratio in these samples analysed with the Ge specific method was 4.1 (±0.4), consistent with ratios observed in certified reference materials (NASS-5, NASS-7, CASS-4 and CASS-6),18 Lake Geneva8 and marine environments.49–51
| iGe | MGe | DMGe | |
|---|---|---|---|
| Vrchlice, 5 m depth | 0.8 | 0.32 | 0.08 |
| Vrchlice inlet in Malešov (IV1) | 5.1 | 0.42 | 0.11 |
| Souš, 2.5 m depth | 15.5 | 0.05 | <0.02 |
| Souš, Černá Desná inlet (IS1) | 10.1 | 0.04 | <0.02 |
| Souš, Bílá Desná inlet (IS2) | 6.6 | 0.05 | <0.02 |
Interestingly, the concentrations of MGe and DMGe in the Vrchlice reservoir were comparable to those in its inlet, and the same pattern was observed in Souš, where MGe was only detectable using the Ge-specific method (Table 2). Although the number of inlet samples was limited, this suggests that in-reservoir formation of MGe species is negligible. This is consistent with the fact that stocks of MeGe in the Vrchlice reservoir remain constant throughout the year (Fig. 4a) and are therefore not subject to variations due to water renewal or other processes. Furthermore, no elevated concentrations were found near the sediment–water interface or in bottom samples that were disturbed by contact of the sampler with the sediments. This provides additional evidence that methylation is not occurring in the sediments, in line with previous findings in Lake Geneva8.
The elevated iGe concentrations at Souš are best explained by sediment diffusion, probably reflecting a legacy of historical germanium accumulation during periods of acid rain. This mechanism highlights how past environmental conditions can leave persistent imprints on lake geochemistry.
Importantly, the contrasting dynamics of these two systems also reveal the limitations of using the Ge/Si molar ratio as a diagnostic tool. In environments where a single dominant process governs element cycling, the ratio can be informative. However, under the complex interplay of biological uptake, sediment release, hydrological variability and legacy deposition, as observed here, the interpretive power of the ratio is greatly diminished.
Finally, the application of a highly sensitive analytical method allowed the detection of methylated germanium species at very low concentrations. These compounds showed conservative behaviour in both reservoirs, with no evidence of in situ production within the sediments. This suggests a decoupling between the biogeochemical cycles of inorganic and methylated germanium, opening new questions about the sources and pathways of the latter in freshwater environments.
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