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Article

An Increase in Stream Water DOC Concentrations May Not Necessarily Imply an Increase in DOC Fluxes in Areas Affected by Acid Deposition and Climate Change—An Example from Central European Catchments

1
Czech Geological Survey, Klárov 3, 118 21 Praha, Czech Republic
2
Global Change Research Institute, Czech Academy of Sciences, Bělidla 986/4a, 603 00 Brno, Czech Republic
*
Author to whom correspondence should be addressed.
Water 2024, 16(16), 2220; https://doi.org/10.3390/w16162220
Submission received: 28 June 2024 / Revised: 26 July 2024 / Accepted: 29 July 2024 / Published: 6 August 2024
(This article belongs to the Special Issue DOM Distribution and Nutrient Dynamics in Freshwater Systems)

Abstract

:
Over a period of 30 years (1993–2022), headwater catchments in the Slavkov Forest (Czech Republic) exhibited a robust increase in stream water DOC (dissolved organic carbon) concentrations following a significant reduction in acidic atmospheric deposition. Sulfur deposition decreased from 34 kg ha−1 yr−1 in 1993 to 2.6 kg ha−1 yr−1 in 2022. Three Norway-spruce-dominated research sites—Černý Potok (CEP), a 15.2 ha peatbog catchment, Lysina (LYS), a 27.3 ha granitic catchment, and Pluhův Bor (PLB), a 21.6 ha serpentinite catchment, were investigated. The three–year average DOC concentration increased from 48.2 mg L−1 (1993–1995) to 68.3 mg L−1 (2020–2022) at CEP (0.69 mg L−1 yr−1). LYS showed an increase from 16.9 mg L−1 to 25.4 mg L−1 (0.30 mg L−1 yr−1 annually). The largest increase was recorded at PLB, with an increase from 15.7 mg L−1 to 36.7 mg L−1 (0.89 mg L−1 yr−1). A decline in ionic strength was identified as the main driver of the DOC increase. The annual runoff declined significantly at CEP and LYS from 465 mm to 331 mm as a result of rising air temperatures and reduced precipitation between 2014 and 2022. PLB (average of 266 mm) did not show a statistically significant decline. Recently, PLB experienced significant deforestation that likely lowered transpiration and thus increased catchment runoff. As a result, DOC fluxes did not change significantly at CEP (average 210 kg ha−1 yr−1) and LYS (90 kg ha −1 yr−1). However, PLB’s DOC flux more than doubled, increasing from 44 to 106 kg ha−1 yr−1. Drivers connected with global change, such as increasing temperatures, or potential chemical drivers, such as reductions in Al concentrations and pH changes, were not able to explain the observed changes in DOC concentra tions and fluxes.

1. Introduction

Understanding the processes regulating dissolved organic carbon (DOC) concentrations in surface waters is essential for managing water quality, protecting aquatic ecosystems, and addressing broader environmental and climate-related issues. DOC plays a crucial role in the carbon cycle, nutrient transport, and drinking water treatment, especially in forested and boreal regions recovering from acidification. Surface waters recovering from acidification often show an increase in (DOC) concentrations, a phenomenon widely described in the Northern Hemisphere (e.g., [1,2,3,4,5]). This increase is primarily driven by a decline in acidic deposition, leading to a reduction in soil and surface water ionic strength and, consequently, an increase in the solubility of humic substances [6,7], as described by the Debye–Hückel electrolyte theory [8]. The Debye–Hückel law suggests that the solubility of humic substances in a soil solution increases as the diffuse double layer around organic colloids expands and the charge shielding that promotes coagulation is consequently reduced [7].
This implies that regions experiencing the largest decline in acid deposition may also witness the most pronounced increase in stream water DOC concentrations. Central Europe was one of the most polluted regions in the world during the second half of the 20th century [9]. The decrease in SO2 emissions in the 1990s represented one of the great success stories in global environmental protection [10]. Czech SO2 emissions decreased from 3150 Gg (1985) to 86.6 Gg in 2017 [11], representing a decline of over 97%. The annual ambient SO2 concentration in the Czech part of the so-called Black Triangle region decreased from a peak of 130 μg m−3, measured in the 1970s, to less than 10 μg m−3 [11]. The estimated median total deposition of sulfur (S) in the current Czech Republic peaked in 1979 (41 kg S ha−1 yr−1) and then declined to 7.3 kg S ha−1 yr−1 in 2012 [12]. Recent estimates indicate that S deposition had fallen even further by 2017 (5.4 kg S ha−1 yr−1).
Geology has also been highlighted as a crucial factor driving changes in DOC. A proposed mechanism, outlined by Monteith et al. [1], suggests that the solubility of DOC is influenced by the soil solution acidity and aluminum concentration. This implies that bedrocks with low weathering rates, such as granites, which release higher concentrations of dissolved aluminum into water, are more prone to reducing DOC levels during acidification compared to well-buffered substrates.
However, stream water DOC concentrations are not solely driven by geochemical factors. Changes in precipitation amounts, air temperature, and runoff flux can also alter DOC concentrations. De Witt et al. [5] concluded that climate is becoming a control of DOC concentration trends as important as chemical factors, especially in regions where summer precipitation has increased, leading to the increased leaching of DOC from the uppermost soil horizons.
The Slavkov Forest in the westernmost Czech Republic [13] has been recovering from acidification since the early 1990s [14,15]. Small catchments on very different bedrock types, LYS [16], PLB [17], and CEP [18], have been monitored since 1988, 1992, and 1993, respectively, providing suitable sites to test (i) whether declining atmospheric deposition is still the main factor driving increases in DOC concentrations (ii) to what extent different bedrock [19] influences the rate of stream water DOC trends, and (iii) how important changing climate patterns [20,21] are as controls of trends in DOC that have been recorded over the last three decades.

2. Site Description

Field research was performed in the unglaciated Slavkov Forest in western Bohemia, Czech Republic, situated about 120 km west of Prague (Figure 1). Slavkov Forest (Slavkovský les; 606 km2) has been a Protected Landscape Area since 1974. All three studied small catchments (<1 km2; Lysina, LYS; Pluhův Bor, PLB; Černý Potok, CEP) represent mountainous forested areas with coniferous species situated at mean altitudes of 760–960 m a.s.l. and at approximately 50° N longitude (Table 1). They are situated about 10 km north of Marienbad (Mariánské Lázně). Managed plantations of Norway spruce (Picea abies) prevailed at the study catchments in the last two centuries. Naturally occurring stands of Scots pine (Pinus silvestris) and dwarf mountain pine (Pinus rotundata) are present only locally at PLB and CEP, respectively. Deciduous trees are represented by negligible numbers of European beech (Fagus sylvatica). The present mean age of the even-aged spruce tree stands at LYS is 50 years. Very old spruce stands at PLB were decimated by bark beetle infestation; about one-quarter of spruce stands were clear-cut in the last decade because of that. However, coniferous trees at CEP have been fairly stable in the last three decades. Parts of the two studied crystalline bedrock types (leucogranite and serpentinite) presented in the catchments have extremely different geochemical compositions with respect to essential nutrients, especially magnesium, potassium, and phosphorus [13,19,22]. Relatively shallow mineral soils (<1 m) covered by thin organic soil are present at LYS and PLB. A thick layer of peat (up to 5 m) is present at CEP, which includes almost 20% of a fairly large raised ombrotrophic peat bog situated in the highest elevation of the Slavkov Forest Mts. LYS and PLB are part of the GEOMON network of Czech small forest catchments and also of the International Long-term Ecological Network (ILTER). Moreover, Lysina is part of two International Cooperative Programs (ICP)—Integrated Monitoring and Waters.

3. Methods

The streamflow in the catchments was continuously monitored using a V-notch weir and water level recorders at LYS and PLB. We collected weekly samples of stream water at LYS and PLB and monthly to quarterly water samples at CEP.
The bulk precipitation and throughfall below spruce canopies were collected at LYS and PLB on a monthly basis. The total deposition (sulfur and total nitrogen) was area-weighted based on the throughfall S flux in the closed-canopy parts of the catchments and the bulk deposition in the open areas.
The annual mean solute concentrations (based on the hydrological year November to October) were discharge-weighted based on the instantaneous flow at the time of sampling (scalar product). Mass fluxes of individual solutes were calculated using the annual discharge-weighted average solute concentrations and annual water output [21].
Chemical analyses were conducted at the Czech Geological Survey chemical laboratory (No. 1049.1), accredited by the Czech Institute of Accreditation under the code 546/2022. This accreditation ensures data reliability and good laboratory practice. Concentrations of Cl, SO42−, and NO3 in the water samples were assessed using high-performance liquid chromatography (HPLC—Shimadzu LC-6A, Shimadzu Corp., Kyoto, Japan), while concentrations of Ca2+, Mg2+, Na+, K+, and Aln+ were determined via flame atomic absorption spectroscopy (AAS—Perkin-Elmer, Waltham, MA, USA). We determined the solution’s pH using a combination glass electrode (GK 2401-C, Radiometer Corp, Copenhagen, Denmark). DOC concentrations were measured by employing platinum-catalyzed high-temperature oxidation on filtered samples, utilizing the non-purgeable organic carbon method. Between 1993 and 2023, several instruments were used: a Dohrmann Carbon Analyzer (Santa Clara, CA, USA) was employed between 1993 and 1997, a TOC 5000 (Shimadzu Corporation, Kyoto, Japan) was used between 1998 and 2004, and a Tekmar-Dohrman Apollo 9000 (Teledyne Tekmar, Mason, OH, USA) was utilized from 2005. The HCO3 was calculated from Gran alkalinity (titration using 0.1 M HCl, titrator TTT-85, Radiometer Corp., Copenhagen, Denmark) by correction for titrated organic acids:
HCO3 = ANCGran − 5.5 × DOC (mg·L−1)
where 5.5 is a charge density of organic acids titrated in the range of Gran titration pH = 3.5–7.0 [23].
The F values were determined by an ion-selective electrode (Crytur Turnov, Turnov, Czech Republic) and the NH4+ values were determined by indophenol blue colorimetry.
Dissolved inorganic nitroge (DIN) was calculated as a sum of NO3-N plus NH4+-N.
The ionic strength (IS) was computed based on the chemistry of inorganic constituents (mol L−1) using the following equation (Equation (2)):
IS = 1/2ΣiciZi2
where “c” represents the concentration of solute “i”, and “Z” signifies the ionic charge. The IS was calculated using the concentrations of major cations and anions: Ca2+, Mg2+, Na+, K+, NH4+, Aln+, H+, SO42−, NO3, Cl, F, and HCO3.
The annual mean air temperature (based on daily values) was calculated for the climatic station of the Czech Hydrometeorological Institute (CHMI) in Mariánské Lázně (MLUV, 696 m a.s.l., 5 km from LYS and CEP, and 9 km from PLB, coordinates 49.997° N, 12.704° E).
Annual evapotranspiration was calculated as the difference between the annual precipitation and annual runoff.
A segmented relationship defined by slope parameters and breakpoints at which the linear relationship changes was used to reveal significant changes in the trends of each parameter over time using the segmented R package [24]. The model is estimated simultaneously, yielding point estimates and corresponding approximate standard errors for all model parameters, including breakpoints and the corresponding rate of change over the time period. The correlation relationships between the parameters were estimated based on the Spearman coefficient at p = 0.05. All correlation analyses and graphical outputs were performed in R Studio [25] using the ggplot2 R package [26].

4. Results and Discussion

4.1. Climate and Hydrology

The air temperature in the region increased by 1.4 °C between 1993 and 2022 (p = 0.0017) (Figure 2). The trend of rising temperatures is significant in Central Europe, particularly in the last decade [27], and has affected the hydrological cycle, primarily by increasing evapotranspiration. In a previous study from this area, Hruška et al. [6] concluded that between 1993 and 2006, no temperature increase was observed. The temperatures began to rise noticeably as of 2013.
The annual precipitation amounts did not exhibit any statistically significant trends from 1993 to 2022. The annual average was 979 mm for LYS and CEP and 792 mm at PLB. Precipitation varied from year to year, ranging between 765 mm and 1285 mm (LYS and CEP) and between 564 mm and 1028 mm at PLB. Although the trend is not statistically significant, it is notable after 2013 that more values fell below the long-term average when significant droughts were observed in 2014, 2015, and 2018 (Figure 2c).
The annual runoff from LYS averaged 412 mm (1993–2022). The lowest runoff occurred in 2014 (178 mm), and the highest occurred in 2002 (747 mm). Until 2013, the runoff did not show any long-term trends (average of 460 mm for 1993–2013), similar to precipitation (Figure 2b). However, from 2014 onward, there was a significant decline in runoff (average of 300 mm for the period of 2014–2022) due to a combination of increasing temperatures and reduced precipitation (Figure 2c). The decline in runoffs during the 1993–2022 period is statistically significant (p = 0.004 for LYS, Figure 2c), particularly because it has never exceeded 400 mm since 2014. Oulehle et al. [21] calculated an average runoff loss of 45 mm per 1 °C degree as a result of increased evapotranspiration in the GEOMON network for the 1994–2019 period. Therefore, from 1993 to 2022, the runoff at LYS decreased by 63 mm due to the temperature increase of 1.4 °C (from 5.9 °C to 7.3 °C). This decrease became visible after 2013, when the above-mentioned decline in precipitation occurred. We can conclude that approximately 40% of the average decrease in runoff (160 mm when compared to the 1993–2013 and 2014–2022 periods) was related to the increase in temperature, while the decrease in precipitation accounted for the remaining 60%.
In the CEP catchment, the runoff volume was not measured, and values from adjacent LYS were used. Water yield similarity was tested using Cl concentrations in stream water, which is a hydrologically conservative tracer sourced mostly from precipitation (e.g., [21]). No statistically significant differences were found for the entire observation period from 1993 to 2022 in stream water concentrations (ANOVA,). Thus, it can be assumed that the amount of annual runoff depths in both catchments is very similar. The distance between the two catchment outlets is just 2 km; the CEP is at a slightly higher elevation (Table 1).
The average annual runoff from PLB was 266 mm, with the minimum (129 mm) recorded in 2014 and the maximum (451 mm) recorded in 2002. In contrast to LYS, there was no statistically significant decline in runoff during the observation period (Figure 2b). The conditions for a decrease, i.e., rising temperatures and reduced precipitation, are the same as for LYS. However, the reason why runoff in the last decade did not decrease as dramatically as in LYS and CEP may be related to deforestation in the catchment. Due to bark beetle (Ips typhographus) infestation, a significant portion of the catchment (approximately 50% [28]) was deforested in the last decade. The loss of transpiration from overmatured spruce stands may have caused the reduction in runoff to be less severe than at LYS, where younger spruce stands continue to grow and transpire (Figure 2). In mountainous regions of Central Europe, the forest dieback is usually accompanied by only a small increase in runoff. Kopáček et al. [29] reported a 6% (70 mm) increase after complete dieback in the Norway-spruce forested Plešné Lake catchment (Bohemian Forest), but these data are from considerably higher elevations (1130–1350 m), where both precipitation and runoff are significantly higher than at PLB (690–804 m). Similar findings [30] were published for the Bavarian Forest in Germany (Grosse Ohe, elevation 999 m a.s.l.), where forest dieback resulted in an 11% increase in runoff when 30% of the catchment was deforested. In areas where the evapotranspiration demands of spruces are similar to the annual runoff, the loss of ca. 50% of mature trees in a catchment can have a significant impact on runoff quantities. Additionally, the reduced canopy interception, which averages approximately 25% in GEOMON catchments [21], could also help to explain the statistically insignificant trend in runoff observed in PLB.

4.2. Atmospheric Deposition

The measured atmospheric deposition of total sulfur (S) was 30–35 kg ha−1 yr−1 at LYS between 1993 and 1995 [16] and declined to 2.2–2.7 kg ha−1 yr−1 in the 2020–2022 period (Figure 3a). A very similar atmospheric deposition can be assumed for CEP, as the distance between catchments is only 1.5 km (Figure 1). The sulfur deposition at PLB was 25–28 kg ha−1 yr−1 for the 1993–1995 period and declined to 1.5–1.9 kg ha−1 yr−1 in 2020–2022. The total deposition of sulfur thus declined by approximately 95% over our study period. Dissolved inorganic nitrogen deposition (DIN) showed much smaller declines (Figure 3b). At LYS, the DIN deposition declined from 12–15 kg ha−1 yr−1 measured between 1993 and 1995 to 5–6 kg ha−1 yr−1 in recent years (2020–2022), and it decreased from 12–13 to 4–5 kg ha−1 yr−1 at PLB during the same time period.
The sulfur deposition decreased intensely prior to 1999 (PLB) and 2000 (LYS), when statistically significant breakpoints were detected (Figure 3a), and then declined steadily until the present. At PLB, the breaking point was also recorded in 2006. The nitrogen deposition declined steadily the entire time.

4.3. Stream Water Chemistry

Changes in the chemistry of surface waters are a key factor driving DOC changes. The most important was a decrease in sulfate (SO42−), which followed a decline in atmospheric S deposition. Sulfate concentrations (Figure 4a) declined sharply in the 1990s when the decrease in S deposition was most significant. A breakpoint was detected in 2003, three years after the S deposition breakpoint (Figure 4a). At PLB, the SO42− concentrations decreased in the 1990s at a rate of 60 µeq L−1 yr−1 from approximately 900 µeq L−1 in 1993 to around 130 µeq L−1 in 2022. A breakpoint was detected in 2001, only two years after the S deposition breakpoint (Figure 4a). At LYS, the decline, due to lower initial sulfate concentrations, was smaller, from approximately 400 µeq L−1 to 120 µeq L−1. From around 2010, the trends in SO42− concentrations in both watersheds (LYS and PLB) became similar, and after 2013, they even slightly increased. This is due to the declining runoff (see previous chapters) and likely similar desorption processes releasing sulfur adsorbed or organically cycled in soils [31] during the previous period of high atmospheric deposition. The trend of SO42− decline at CEP was similar to that at LYS, decreasing from approximately 300 µeq L−1 to 40 µeq L−1. The lower sulfate concentrations at CEP can be explained by minimal adsorption/desorption in the soils, as most of the catchment is covered by very well-drained peat with low sulfate adsorption and potential bacterial reduction capacity.
The concentrations of the sum of base cations (calcium, magnesium, potassium and sodium; Ca2+ + Mg 2+ + K+ + Na+; SBC) decreased similarly to SO42− concentrations (Figure 4c) because the main source in stream water is ion exchange from the soil cation exchanger [16,23]. As the input of H+ ions from atmospheric deposition decreased together with S, the leaching from the soil cation-exchanger also decreased (for more details, see [23]). The breakpoints (2002 for both of catchments) corresponded very closely to SO42− patterns (Figure 4a,c). Similar to SO42−, the SBC concentrations levelled off after 2010. At PLB, the anion concentrations have been increasing in recent years, not only because of the lower runoff but also due to the increased leaching of bicarbonate (HCO3, Figure 4e), which is associated with increasing pH (see below).
Due to the decrease in 2− deposition, the discharge-weighted annual mean pH of all three watersheds gradually rose (p < 0.001 for LYS and PLB; p < 0.01 for CEP), although in completely different ranges (Figure 4b). No breakpoints were detected. PLB exhibited a pH above 6.6 with always positive HCO3 alkalinity (Figure 4e) and efficient buffering capacity. LYS was very acidic (annual values pH < 4.0 or around 4.0 during the 1990s), and during the 30-year recovery, the pH reached 4.2 in 2022. According to biogeochemical model predictions, the annual mean pH will not exceed 4.3 by 2050, which is still far from the estimated preindustrial pH of around 5.5 [15]. CEP, as a peatland-dominated catchment without mineral soil, had an extremely low pH of 3.3 in 1993. Due to the rapid decline in SO42−, the pH slightly increased to values around 3.8 shortly after 2000. However, it has slightly declined since 2016, with no clear explanation. Such low pH is due to the acid-base properties of humic and fulvic acids [18,32,33], which effectively prevent the pH from further rising.
Ionic strength (IS; Figure 4d) is a parameter that characterizes the total amount of dissolved solutes and their charges in solutions. It is an important characteristic regulating the solubility of organic molecules [6,7,8]. The IS decreased significantly (as did the concentrations of all dissolved substances from which it is calculated) until around 2010, with a breakpoint in 2002. Since then, it has slightly increased, mostly due to a decrease in pH (CEP) and rising Al levels (CEP and LYS). At PLB, a more significant increase is visible due to rising concentrations of SBC and HCO3 (Figure 4c,e).
The total dissolved aluminum (Figure 4f) decreased at LYS due to an increase in pH, exhibiting a break in 2002 similar to that observed for other solutes. Conversely, the CEP maintained stable aluminum concentrations, likely due to high and consistent DOC concentrations that bind aluminum to organic complexes. The aluminum concentrations at the alkaline PLB site were consistently very low (<5 µmol L−1). The synchronous break in solute concentrations (BC, Al, IS) in 2002 could potentially be explained by the unusual solute dilution. In 2002, a major summer flood took place, resulting in the largest water runoff of the year (Figure 2c).

4.4. DOC Concentrations

The most pronounced increase in stream water DOC concentrations (discharge weighted annual means) was observed at alkaline PLB. Over 30 years, DOC concentrations increased from 15.7 mg L−1 (1993–1995 average) to 36.7 mg L−1 (2020–2022) (Figure 5a), representing an annual increase of 0.89 mg L−1 yr−1 (p < 0.001). The most acidic CEP showed an increase from 48.2 mg L−1 to 68.3 mg L−1, i.e., an annual increase of 0.69 mg L−1 yr−1 (p < 0.05). The acidic LYS exhibited an increase from 16.9 mg L−1 to 25.4 mg L−1 for the same period. The annual increase there was 0.30 mg L−1 yr−1 (p < 0.001). The PLB exhibited an enormous increase of 131% compared to that of the 1993–1995 period. Analogously, the increase at CEP corresponded to 42% and that at LYS corresponded to 50%. A breakpoint in DOC concentrations was only detected at LYS (in 2007), whereas PBL exhibited a monotonic upward trend throughout the observed period.
Nevertheless, the relative increase in ΔDOC (annul rise of concentration per mg DOC) was not proportional to the initial stream water concentration. The largest increase of 0.031 mg DOC per mg DOC yr−1 was detected at PLB, followed by that at LYS (0.014 mg DOC per mg DOC yr−1) and CEP (0.013 mg DOC per mg DOC yr−1).
The increase in concentrations is, therefore, the highest in both relative and absolute terms in the alkaline PLB catchment. This catchment has never experienced acidification in terms of a decrease in surface runoff pH (Figure 4b) beyond the buffering capacity of HCO3. In contrast, LYS, which is strongly anthropogenically acidified, also experienced a significant increase in DOC concentrations. In both catchments, the most significant predictor of DOC growth is the reduction in ionic strength (IS) due to the decline in acidic deposition, followed by a subsequent decrease in IS (Figure 6a), primarily due to declining SO42− concentrations (Figure 4a). This mechanism operates in both alkaline and acidic catchments and is independent of the acid-base character of the catchment environment [6].
The observed DOC concentrations increase at PLB is robust and monotonic (Figure 5a). At LYS, an increase in DOC was observed until 2007, after which the trend flattened but did not decline, despite a statistically significant runoff reduction after 2013 (Figure 2c). Nevertheless, considering the entire interval from 1993 to 2022, the increase in DOC remains statistically significant (Figure 5a). Therefore, it is evident that the decrease in IS due to the extremely large reduction in atmospheric S deposition (Figure 3a), which dropped from values > 30 kg ha−1 yr−1 to values < 2 kg ha−1 yr−1, remains the primary cause of the DOC increase.
In the case of PLB, it likely represents the highest recorded increase in DOC (0.89 mg L−1 yr−1) in temperate and boreal forest catchments, while a three-times lower increase at LYS still exhibits a very high rate of an increase (0.30 mg L−1 yr−1). Garmø et al. [3] analyzed extensive datasets from the ICP Water program in Europe and North America, divided into several eco-regions. The highest increase (Sen slope for the period 1990–2016) of 0.11 mg L−1 yr−1 was observed in southern Scandinavia. The DOC increase was strongly correlated with trends in S deposition and was more pronounced in the 1990s than after 2005. Similar conclusions were presented by de Witt et al. [5]. A database of 426 undisturbed headwater lakes and streams in Europe and North America was divided into two intervals—1990–2004 and 2006–2016. In the first interval, the dominant controlling variable was the decline in atmospheric deposition, followed by a decline in IS (90% explained variability), while in the second period, the chemical drivers accounted for only 55%. Changes in hydrology (increased flow) explained approximately 40%, and temperature increases accounted for 5% of the observed changes. Monteith et al. [7] also confirmed changes in IS in precipitation, soil, and surface waters as the main reason for the DOC increase in watersheds in the United Kingdom, Norway, Sweden, and the Czech Republic. Similar conclusions were drawn by Lawrence and Roy [4] for the Adirondack region in the northeastern United States. On the other hand, a halt in the DOC concentration increase has been observed in most of Sweden after 2010 [34]. One of the significant factors that can lead to increased DOC concentrations is afforestation [35] because it increases the extension of forest soils with humic and fulvic acid production. However, in the case of the studied catchments, there has been no afforestation (PLB has even experienced partial deforestation) or an increase in flows, which are considered important factors for the DOC increase in Scandinavian studies.
At CEP, the observed increase in DOC concentrations cannot be explained by decreasing ionic strength (IS) or SO42− (Figure 6a,b). The peat that forms most soils in the catchment has virtually no mineral horizons, and runoff is generated directly within the peat. The applicability of the Debye–Hückel theory in peat is likely limited due to the absence of potential adsorption structures where coagulated humic acids might be retained. However, an increase in DOC concentrations can be explained hydrologically. In the PLB catchment, DOC concentrations rise sharply with increased flow (Figure 7), while in LYS, this increase is somewhat smaller. Conversely, in the CEP peatland catchment, DOC concentrations decrease (not statistically significantly) with increasing flow (Figure 7). PLB and LYS are catchments with typical forest soil profiles, where shallow organic soil layers overlay mineral substrates. Therefore, when the water table increases after rainfall events, there is a greater mobilization of organic compounds from the temporarily water saturated organic soil horizons.
In contrast, at CEP, which primarily consists of a 5-m-thick layer of peat, water is diluted within the peatland after rainfall or snowmelt, resulting in a decrease in DOC concentrations in surface runoff (Figure 7). Similar trends have been observed in peatland catchments in northern Sweden (e.g., [32]). This is consistent with the relatively low increase in the relative concentration at CEP because the relative increase in ΔDOC was only 0.013 mg DOC per mg DOC per year. This increase is much smaller than that observed at LYS and PLB dominated by mineral soils. De Wit et al. [5] observed a linear increase in ΔDOC with a median DOC stream concentration, and such a small ΔDOC is typical for the median stream water DOC concentrations around 10 mg L−1. This means that CEP, where the average DOC concentration is around 50 mg L−1 (Figure 7), differs from ordinary catchments, and its observed increase in DOC concentrations is driven by changes in hydrology associated with reduced precipitation and increasing temperatures during the last decade.

4.5. DOC Fluxes

Calculations of annual element fluxes are influenced not only by the total amount of runoff but also by the relationship between the concentration of DOC and flow (Figure 7). The decrease in water runoff after 2013 (Figure 2c) and, consequently, the higher frequency of lower flows imply a higher occurrence of lower DOC concentrations for LYS and PLB. However, in the case of the peatland-dominated CEP, the opposite trend is observed, with a higher frequency of higher DOC concentrations during lower flow periods contributing to the increase in average DOC concentrations (Figure 7).
As a result, the long-term trends in DOC fluxes in all three catchments exhibit distinct characteristics. In the alkaline PLB, where the increase in concentrations has been consistently the highest over time, and where changes in the catchment runoff have not shown statistical significance over time, there has been a statistically significant increase (p < 0.01) in the DOC export (Figure 5b). This increase has gone from approximately 44 kg ha−1 yr−1 (average for the years 1993–1995) to roughly 2.5 times that amount, 106 ha−1 yr−1 in the years 2020–2022. This increase is proportional to the rise in stream water DOC concentrations, and similarly high increases in the DOC export have not been published according to our knowledge. The maximum values were reached in the years 2002 (128 kg ha−1) and 2013 (155 kg ha−1), both with highly above average annual runoffs. The lowest value, 32 kg ha−1, was recorded in the first year of observation in 1993 during a period of very low water flows and the lowest average DOC concentrations.
The DOC flux from LYS and CEP between 1993 and 2022 has not changed significantly (Figure 5b), despite statistically significant increases in DOC concentrations. LYS exhibits large variability (Figure 5b), fluctuating around an average value of 90 kg ha−1 yr−1. The highest export (except for 2002) occurred approximately between 2005 and 2013, with the average reaching 112 kg ha−1 yr−1. This corresponds to both increased DOC concentrations and a not yet reduced runoff (Figure 2a). However, after 2013, due to drought and reduced precipitation (Figure 2b), there has been a substantial reduction in flow (Figure 2c), and this hydrological change has led to a significant decrease in the DOC export. The average for the years 2014–2020 was even lower than in the early 1990s, reaching only 63 kg ha−1 yr−1. From 1993 to 2001, the average export was 77 kg ha−1 yr−1. An extremely high DOC export (217 kg ha−1 yr−1) was recorded in 2002 due to exceptional summer floods that increased the annual water flow to highly above average, 747 mm. The years 2021 and 2022, with a slight increase in annual runoff after seven dry years (Figure 2c), pushed the DOC export back to around 100 kg ha−1 yr−1 (Figure 5b).
The highest, but also the most variable, DOC export comes from the peatland-dominated CEP catchment (Figure 5b). The average value for the period 1993–2022 is 210 kg ha−1 yr−1. However, these fluxes vary greatly, ranging from 747 kg ha−1 yr−1 in the flood year of 2002 to a minimum of 178 kg ha−1 yr−1 in the extremely dry year of 2014. Because the water flow is the same as at LYS, CEP mirrors the overall trend. The catchment was not sampled in 1997–2001 and 2005–2008, which is why the statistical parameters differ slightly from those of LYS.
The observation that riverine DOC fluxes did not change or are declining is not typical for ecosystems recovering from acidification. De Wit et al. [5] estimated that riverine DOM (Dissolved Organic Matter) export from northern ecosystems increased by 27% from 1990 to 2016. This applies to both European (mostly Scandinavian) catchments and catchments in North America. The runoff did not decrease in these regions, and thus, the increase in DOC fluxes was driven by rising DOC concentrations. Similarly, Monteith et al. [7] mentioned increased flows as one of the factors explaining the higher DOC export in the United Kingdom. In the Adirondack catchments in New York State, Lawrence and Roy [4] also did not observe a reduction in water flow despite the long-term increase in DOC concentrations. In contrast, Oulehle et al. [21] reported the same trend as the one seen at LYS and CEP for 14 catchments of the GEOMON network (Czech Republic), meaning there were no statistically significant changes in DOC fluxes due to the reduced water flow after 2013.
Central Europe seems to be a region where changes in hydrological patterns lead to different trends than those typical for northern North America and northern Europe. PLB, where surface runoff likely increased due to recent deforestation, represents an exception to the general trend described in Central Europe.

4.6. Bedrock Geochemistry

All experiments and observations assessing the impacts of acidification on DOC production were conducted in ecosystems sensitive to acidity or anthropogenically acidified environments (e.g., [1]). In these settings, recovery from acidification was associated with either a decrease (during recovery) or an increase (during acidification) in IS. Therefore, it is challenging to determine whether the observed changes in stream water DOC in these systems result from acidification-induced alterations in aluminum and pH or if these changes solely reflect variations in ionic strength.
Our study catchments offer a unique opportunity to differentiate between the effects of reduced acidity and changes in IS on DOC stream concentrations. Over the past 30 years, all three catchments have experienced reduced inputs of acids and IS. However, the well-buffered soils at serpentinite PLB have prevented any significant decline in stream water pH (Figure 4b). Incoming acids from the atmosphere were buffered by exchangeable Mg2+ weathered from the serpentinite bedrock (Table 1 and Figure 4c), resulting in consistently high stream pH but decreasing ionic strength over time (Figure 4d). In contrast, the nearby LYS catchment, which is base-poor, has exhibited a modest decrease in stream acidity in response to decreased inputs of acidic deposition.
Despite changes in stream DOC concentrations occurring in both the acid-insensitive and acid-sensitive mineral-soil-dominated catchments, variations in IS alone appear to be the primary driver of DOC concentrations in these areas. The decrease in IS in these catchments was mainly due to declines in SO42− and divalent cations (Ca2+ in granitic LYS and peaty CEP and Mg2+ in serpentinic PLB), while dissolved Aln+ had a minor impact. This is evidenced by only slight decreases in aluminum concentrations, particularly in acidic LYS, despite its high initial concentrations (Figure 4f). Peaty CEP, with a limited contact of surface water with the regolith in the ombrotrophic peat bog, did not show any trend in dissolved Al concentrations (Figure 4f). Although H+ decreased (pH increased) moderately at LYS and CEP, H+ changes were negligible at the alkaline and high-pH PLB. Dissolved aluminum remained low (<5 µmol L−1) and unchanged over time in the high-pH stream water at PLB (Figure 4b), indicating that changes in pH and aluminum cannot explain the significant increase in DOC observed there. We conclude that the geology of all three catchments did not play a significant role in the observed DOC trends.

5. Conclusions

Stream water DOC concentrations in the Slavkov Forest have been increasing due to the decreasing ionic strength (IS) resulting from a significant reduction in acidic deposition over the last three decades (1993–2022). IS explains the increase in DOC in catchments dominated by mineral soils, while the increase in DOC in peatland-dominated catchments is more hydrologically driven. Ionic strength explains the rise in DOC in both the acidic LYS catchment and the alkaline, well-buffered PLB catchment for the period 1993–2022, despite the fact that after 2007, the increase in the DOC concentration at LYS was not detected and remained stable.
Bedrock geochemistry itself did not play any significant role in the observed DOC trends. DOC concentrations generally increased (or did not change after 2007 at LYS) despite a statistically significant decrease in water runoff at LYS and CEP during the 1993–2022 period. It follows that the observed climatic change did not play an important role in regulating DOC concentrations in catchments historically receiving high atmospheric sulfur inputs.
The observed runoff decrease at LYS and CEP was due to a statistically significant warming trend and a reduction in precipitation in the last decade. In contrast, the runoff at PLB did not show a statistically significant decline, likely due to deforestation in a significant portion of the catchment and a subsequent decline in evapotranspiration in the last decade.
As a result, the DOC export flux from the alkaline PLB catchment significantly increased, while in the acidic LYS and CEP catchments, the DOC fluxes, unlike the concentrations, did not change significantly.

Author Contributions

J.H.: Writing—original draft, Methodology, Investigation, Formal analysis, Data curation, Conceptualization. P.K.: Writing—review and editing, Data curation, Conceptualization. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by the project 21-22810J funded by the Czech Science Foundation and the CatchCaN project (CZ RESEARCH programme EEA and Norway Grants, No. TO01000220).

Data Availability Statement

Data are contained within the article.

Acknowledgments

Filip Oulehle from Czech Geological Survey and Global Change Research Institute, Czech Academy of Sciences is thanked for the statistical evaluation of the presented data. Tomáš Chuman from Czech Geological Survey and Global Change Research Institute, Czech Academy of Sciences is thanked for the map creation. Pavla Holečková from Czech Geological Survey is thanked for the editorial assistance. The field technical help of Jan Čuřík and František Veselovský is appreciated.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Location of three experimental catchments in the Slavkov Forest. The maps are based on data from OpenStreetMap and OpenStreetMap Foundation and are publicly available without special privileges under a CC BY-SA 2.0 license from the OpenStreetMap contributors (https://www.openstreetmap.org/copyright/en, accessed on 15 October 2023), available at www.openstreetmap.org (accessed on 15 October 2023).
Figure 1. Location of three experimental catchments in the Slavkov Forest. The maps are based on data from OpenStreetMap and OpenStreetMap Foundation and are publicly available without special privileges under a CC BY-SA 2.0 license from the OpenStreetMap contributors (https://www.openstreetmap.org/copyright/en, accessed on 15 October 2023), available at www.openstreetmap.org (accessed on 15 October 2023).
Water 16 02220 g001
Figure 2. Temperature (a), precipitation (b), runoff (c), and calculated evapotranspiration (d) from two catchments (LYS and PLB) between 1993 and 2022. Precipitation and runoff were measured directly in the catchments, and the temperature was measured at the Czech Hydrometeorological Institute station Mariánské Lázně (MLUV; 696 m a.s.l.). Doted lines represent mean annual averages.
Figure 2. Temperature (a), precipitation (b), runoff (c), and calculated evapotranspiration (d) from two catchments (LYS and PLB) between 1993 and 2022. Precipitation and runoff were measured directly in the catchments, and the temperature was measured at the Czech Hydrometeorological Institute station Mariánské Lázně (MLUV; 696 m a.s.l.). Doted lines represent mean annual averages.
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Figure 3. Annual total sulfur (a) and dissolved inorganic nitrogen (DIN) (b) deposition at Lysina (LYS) and Pluhův Bor (PLB) from 1993 to 2022. Statistically significant breakpoints are represented by vertical lines of appropriate colors (±standard error).
Figure 3. Annual total sulfur (a) and dissolved inorganic nitrogen (DIN) (b) deposition at Lysina (LYS) and Pluhův Bor (PLB) from 1993 to 2022. Statistically significant breakpoints are represented by vertical lines of appropriate colors (±standard error).
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Figure 4. Patterns in annual stream water chemistry for SO42− (a), pH (b), sum of base cations SBC = (Ca2+ + Mg2+ + K+ + Na+) (c), ionic strength (IS) (d), HCO3 (e), and dissolved Al (f) for the 1993–2022 period. The dashed line indicates the smoothed mean and the grey area defines the 95% confidence interval. R = Spearman correlation coefficient, p = probability level. Statistically significant breakpoints are represented by vertical lines of appropriate colors (±standard error). Breakpoints were not calculated for CEP (incomplete data series).
Figure 4. Patterns in annual stream water chemistry for SO42− (a), pH (b), sum of base cations SBC = (Ca2+ + Mg2+ + K+ + Na+) (c), ionic strength (IS) (d), HCO3 (e), and dissolved Al (f) for the 1993–2022 period. The dashed line indicates the smoothed mean and the grey area defines the 95% confidence interval. R = Spearman correlation coefficient, p = probability level. Statistically significant breakpoints are represented by vertical lines of appropriate colors (±standard error). Breakpoints were not calculated for CEP (incomplete data series).
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Figure 5. Annual means of DOC concentrations (a) and fluxes (b) for the 1993–2022 period. The dashed line indicates smoothed mean and the grey area defines the 95% confidence interval. R = Spearman correlation coefficient; p = probability level. Statistically significant breakpoints are represented by vertical lines of appropriate colors (±standard error). Breakpoints were not calculated for CEP (incomplete data series).
Figure 5. Annual means of DOC concentrations (a) and fluxes (b) for the 1993–2022 period. The dashed line indicates smoothed mean and the grey area defines the 95% confidence interval. R = Spearman correlation coefficient; p = probability level. Statistically significant breakpoints are represented by vertical lines of appropriate colors (±standard error). Breakpoints were not calculated for CEP (incomplete data series).
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Figure 6. Relationship between annual means of DOC and ionic strength (IS) (a) and annual means of DOC and SO42− (b) for individual catchments (1993–2022). The dashed line indicates the smoothed mean and the grey area defines the 95% confidence interval. R = Spearman correlation coefficient; p = probability level.
Figure 6. Relationship between annual means of DOC and ionic strength (IS) (a) and annual means of DOC and SO42− (b) for individual catchments (1993–2022). The dashed line indicates the smoothed mean and the grey area defines the 95% confidence interval. R = Spearman correlation coefficient; p = probability level.
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Figure 7. The relationship between DOC concentrations and discharge (log). For LYS and PLB, the data are for the hydrological years 2020–2021; for CEP, the years 2010–2021 are included. The dashed line indicates the smoothed mean and the grey area defines the 95% confidence interval. R = Spearman correlation coefficient; p = probability level.
Figure 7. The relationship between DOC concentrations and discharge (log). For LYS and PLB, the data are for the hydrological years 2020–2021; for CEP, the years 2010–2021 are included. The dashed line indicates the smoothed mean and the grey area defines the 95% confidence interval. R = Spearman correlation coefficient; p = probability level.
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Table 1. Characteristics of the studied catchments.
Table 1. Characteristics of the studied catchments.
CatchmentLysina (LYS)Pluhův Bor (PLB)Černý Potok (CEP)
Area (ha)27.321.615.2
Mean elevation (m a.s.l.)884755955
Minimum and maximum elevation829–949690–804933–982
Latitude50.034° N50.062° N50.029° N
Longitude12.669° E12.788° E12.645° E
Air temperature (°C) (1990–2022)5.96.45.7
Prevailing bedrockLeucograniteSerpentiniteLeucogranite
Prevailing soilsPodzol, CambisolCambisol, StagnosolHistosol
Prevailing trees (2015)Norway spruce (99%)
European beech (1%)
Norway spruce (81%)
Scots pine (19%)
Norway spruce (60%)
Dwarf mountain pine (40%)
Tree age (2015)42114100—estimate
Closed-canopy forest (1995)70%94%90%
Closed-canopy forest (2015)98%81%90%
Closed-canopy forest (2022)99%45%90%
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Hruška, J.; Krám, P. An Increase in Stream Water DOC Concentrations May Not Necessarily Imply an Increase in DOC Fluxes in Areas Affected by Acid Deposition and Climate Change—An Example from Central European Catchments. Water 2024, 16, 2220. https://doi.org/10.3390/w16162220

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Hruška J, Krám P. An Increase in Stream Water DOC Concentrations May Not Necessarily Imply an Increase in DOC Fluxes in Areas Affected by Acid Deposition and Climate Change—An Example from Central European Catchments. Water. 2024; 16(16):2220. https://doi.org/10.3390/w16162220

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Hruška, Jakub, and Pavel Krám. 2024. "An Increase in Stream Water DOC Concentrations May Not Necessarily Imply an Increase in DOC Fluxes in Areas Affected by Acid Deposition and Climate Change—An Example from Central European Catchments" Water 16, no. 16: 2220. https://doi.org/10.3390/w16162220

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Hruška, J., & Krám, P. (2024). An Increase in Stream Water DOC Concentrations May Not Necessarily Imply an Increase in DOC Fluxes in Areas Affected by Acid Deposition and Climate Change—An Example from Central European Catchments. Water, 16(16), 2220. https://doi.org/10.3390/w16162220

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