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Article

Winter Decomposition of Emergent Macrophytes Affects Water Quality under Ice in a Temperate Shallow Lake

1
Institute of Wetland Research, Chinese Academy of Forestry, Beijing 100091, China
2
Beijing Key Laboratory of Wetland Services and Restoration, Beijing 100091, China
3
Hengshuihu National Wetland Ecosystem Research Station, Hengshui 053000, Hebei, China
*
Author to whom correspondence should be addressed.
Water 2020, 12(9), 2640; https://doi.org/10.3390/w12092640
Submission received: 25 August 2020 / Revised: 15 September 2020 / Accepted: 16 September 2020 / Published: 21 September 2020

Abstract

:
Decomposition of emergent macrophytes is now recognized as an internal nutrient source for shallow lakes. Temperate lakes always experience seasonal ice cover in winter, but the influences of emergent macrophytes decomposition on water quality have rarely been examined under ice. Here, we conducted an incubation experiment to investigate winter decomposition of two common emergent macrophytes species (Typha orientalis and Phragmites australis) and its influences on water quality in the Hengshui Lake, North China. Mesocosms simulating a lake ice regime were incubated in the field for 120 days in winter and were treated with and without plant material addition. Water quality was monitored through dissolved oxygen (DO), dissolved organic carbon (DOC), total nitrogen (TN), total phosphorus (TP), ammonium nitrogen (NH4-N), and nitrate nitrogen (NO3-N). We found that both species were significantly decomposed in winter and that the majority of mass loss occurred in the first 10 days of decomposition when the water surface of mesocosms were already frozen. The concentrations of DO rapidly dropped to values close to zero after plant material submergence. At the end of incubation, the concentrations of DOC, TN, and NO3-N in the mesocosms with plant material addition were significantly higher than initial concentrations. In contrast, the concentrations of DOC, TN, TP, NO3-N, and NH4-N in the mesocosms without plant material addition were equal to or less than initial concentrations. Our research suggests that winter decomposition of emergent macrophytes produces negative influences on water quality under ice that lasts for the whole winter.

1. Introduction

Emergent macrophytes play an important role in energy flows and nutrient cycling in shallow lakes [1]. During the growing season, emergent macrophytes convert solar energy to biomass and absorb nutrients from sediments and overlying water [2]. After emergent macrophyte senescence, plant detritus accumulates on sediments, supporting the heterotrophic food web, and the nutrients incorporated in plant material are released back into the water column [3,4]. In oligotrophic temperate lakes, more than 20 percent of nitrogen and phosphorus in lake water is stored in plant materials and is regulated by vegetation phenology of emergent macrophytes [5].
Shallow lakes suffer from eutrophication worldwide due to anthropogenic inputs of nutrients in recent decades [6]. Emergent macrophytes will assimilate unnecessarily high concentrations of nutrients, which is known as luxury uptake, and will produce extraordinarily abundant biomass in response to increasing nutrient availability [7]. Since the senescent emergent macrophytes collapse and immerse into water, excess nutrients released from plant materials undermine the efforts of reducing external nutrient inputs on eutrophic lakes restoration [8,9]. Thus, emergent macrophyte decomposition has received particular attention for its influence on water quality [10,11,12].
Decomposition of emergent macrophytes generally involves three interlinked process: leaching of water-soluble compounds, physical fragmentation to small pieces, and biochemical degradation to basic inorganic molecules [13,14]. Deterioration of water quality, including eutrophication and dissolved oxygen (DO) deficit, will come with the leaching and the biochemical degradation processes. For instance, the concentrations of total nitrogen (TN) and total phosphorus (TP) in receiving water quickly rise to above 2 mg/L and 0.2 mg/L, respectively, as a considerable proportion of nutrients is leached from emergent macrophytes detritus in a short time after submergence [15,16]. Organic matter degradation consumes plenty of DO by both biological respiration and chemical oxidation [17], and nitrogen released from plant materials increases the supply of ammonium for nitrification; the autotrophic microbial oxidation of ammonium to nitrate exerts another oxygen demand on the water column [18]. As a result, the concentrations of DO in water columns drop more than 50% when receiving 1 g/L emergent macrophytes detritus [12].
In temperate regions, the seasonal variation in vegetation phenology leads the initial stage of emergent macrophytes decomposition to experience the harsh winter when air temperature is always below the freezing point [19,20]. A characteristic of temperate lakes in winter is the ice cover, which excludes gas exchange and insulates thermal transmission [21,22]. However, the understanding of emergent macrophyte decomposition affecting water quality has been dominated by observations in ice-free conditions [11,12,15,16]. The winter ice cover creates a unique environment for decomposition, but there is little knowledge about emergent macrophyte decomposition under ice and its influences on water quality.
The objectives of this paper were (1) to examine the winter decomposition of two common emergent macrophytes species (Typha orientalis and Phragmites australis) and (2) to investigate water quality dynamics of the ice-covered water columns with decomposing emergent macrophytes. We hypothesized that emergent macrophytes would be significantly decomposed in winter and that the winter decomposition would cause serious DO depletion as ice cover excludes gas exchange.

2. Materials and Methods

2.1. Study Area

This study was conducted in Hengshui Lake (115°34′ E and 37°36′ N), a shallow freshwater lake located in Hebei provinces, North China. The Hengshui Lake has a surface area of 75 km2 and an average depth of 2.1 m. The climate of this area is temperate continental monsoon with a mean annual temperature of 12.7 °C The littoral zone of the Hengshui lake, which occupies 17% of the total surface area of the lake, is dominated by T. orientalis, P. australis, and Nelumbo nucifera [23].

2.2. Experiment Design

An incubation experiment was conducted in the field to study winter decomposition of emergent macrophytes and its influences on water quality under ice (Figure 1). First, nine containers made of glass fiber-reinforced plastics were constructed and placed on the bank of the Hengshui Lake in September 2015. The container had a cuboid shape with 80 cm length, 80 cm width, and 100 cm height, and every three containers were connected in parallel. Later, the containers were filled with sediment and surface water, which were collected from the littoral zone of the lake, to 10 cm and 20 cm depth, respectively. The sediment used in the incubation experiment was a silty clay (Appendix A, Table A1). On 14 November 2015, the containers were filled with lake water to 50 cm depth until the water volume of each mesocosms was approximately 320 L at the beginning of experiment. Two common species of emergent macrophytes, T. orientalis and P. australis, were harvested as standing-dead on the same day. After that, plant materials were air dried for 7 days. Eight subsamples of each species were oven dried at 55 °C for 72 h to constant weight in order to obtain the relation between air dried and oven dried weight. On 21 November 2015, the nine mesocosms were randomly classified as three groups; two groups were added T. orientalis and P. australis, respectively; the other group was treated as a control without plant materials addition; and each group had 3 replicates. Most of the plant materials added to the mesocosms were intact aboveground parts of emergent macrophytes, and a small proportion of the plant materials was cut and placed into nylon litterbags to assess the decomposition rate. Each litterbag (20 × 20 cm with 2 mm mesh size) was filled with 5 g of air-dried plant materials, and 10 litterbags were placed into each mesocosm. The total amount of plant materials added to each mesocosm was 320 g, meaning the water column received 1 g/L of plant materials. The water columns in the control were stirred by a plastic rod to simulate disturbance of placing plant materials. Water samples and litterbags were collected simultaneously at days 0, 1, 3, 5, 10, 15, 30, 60, 90, and 120. The DO concentrations were measured by a multi-parametric probe (YSI 6820, YSI Environmental Inc., Yellow Springs, OH, USA) at each sampling time before sampling the water. On the second day of experiment, the water surface of mesocosms began to freeze after a heavy snowfall and the ice cover lasted for more than 100 days (Figure A1).

2.3. Chemical Analysis

The water samples were filtered and refrigerated before chemical analysis. The dissolved organic carbon (DOC) concentrations were measured on a total organic carbon (TOC) analyzer (Vario TOC, Elementar Analysensysteme GmbH, Langenselbold, Germany). The concentrations of TN, TP, ammonium nitrogen (NH4-N), and nitrate nitrogen (NO3-N) were analyzed on a discrete auto analyzer (Smart-Chem 200, WESTCO Scientific Instruments, Brookfield, CT, USA).
The initial and remaining plant materials were analyzed for the total C, N, and P contents after samples were oven dried at 55 °C for 72 h and ground to fine powders. The total C and N contents were analyzed on an elemental analyzer (Vario ELIII CHNOS Elemental Analyzer, Elementar Analysensysteme GmbH, Langenselbold, Germany). The total P contents were measured by the ammonium molybdate ascorbic acid method using an UV-visible spectrophotometer (Shimadzu UV-2550, Kyoto, Japan).

2.4. Calculations and Statistical Analysis

The C, N, and P release rates from plant materials were calculated as a percentage of the initial total contents:
R = ((C0M0CtMt)/(C0M0)) × 100%,
where R represents the release rate of C, N, and P from plant materials at sampling time t; M0 is the initial mass of plant materials; Mt is the remaining mass of the decomposed plant materials at time t; C0 is the initial concentrations of C, N, and P in the plant materials; and Ct is the concentration of C, N, and P in the plant materials at sampling time t.
The change ratios of DO, DOC, TN, TP, NH4-N, and NO3-N in the water columns before and after experiment were calculated as follows:
A = ((BeB0)/B0) × 100%,
where A represents normalized change ratios of DO, DOC, TN, TP, NH4-N, and NO3-N in the water columns; Be is the concentrations of DO, DOC, TN, TP, NH4-N, and NO3-N in the water columns at the end of experiment; and B0 is the concentrations of DO, DOC, TN, TP, NH4-N. and NO3-N in the water columns at the beginning of experiment.
The differences in DO, DOC, TN, TP, NH4-N, and NO3-N concentrations in the water columns between T. orientalis treatment, P. australis treatment, and the control were tested by repeated measures one-way Analysis of Variance (ANOVA) and post hoc Dunnett’s tests. In addition, paired comparisons of the DO, DOC, TN, TP, NH4-N, and NO3-N concentrations in the water columns between the beginning and the end of experiment were conducted by Student’s t test. Principal component analysis (PCA) was applied to evaluate and visualize the change in water quality through the experimental period. Time-series correlation analysis was performed to assess the relationship between the release rates of C, N, and P from plant materials and the concentrations of DO, DOC, TN, TP, NH4-N, and NO3-N in the water columns using the mean value of each sampling time. The releases of C, N, and P from plant materials and the dynamics of DO, DOC, DOC:NH4-N, and NH4-N:NO3-N in the water column were used to construct a structural equation modelling (SEM). All tests were conducted in SAS 9.3 (SAS Institute Inc., Cary, NC, USA).

3. Results

3.1. Mass Loss and C, N, and P Release

Both T. orientalis and P. australis were significantly decomposed in winter (p < 0.001). The remaining mass after 120 days of T. orientalis and P. australis was 65.4% and 76.4% of its initial mass, respectively, and more than 15 percent of mass was lost in the first 10 days of decomposition (Figure 2).
The initial contents of C, N, and P were significantly higher in T. orientalis than in P. australis (Table A2). During decomposition, both species gradually released C. T. orientalis consistently released N, and P. australis mobilized N in the first 20 days and immobilized N in the following days. The release of P mainly occurred in the first 20 days, and T. orientalis released a higher proportion of P than P. australis (Figure 2).

3.2. Dynamics of Water Quality

Repeated measures ANOVA indicated that there were significant differences in DO, DOC, TN, TP, NH4-N, and NO3-N among treatments and sampling times (Table 1). The concentrations of DO in the water columns with plant material addition rapidly dropped to nearly zero and lasted for the whole winter. In contrast, the concentrations of DO remained above 8 mg/L in the control. The concentrations of DOC increased to above 15 mg/L and 10 mg/L in the T. orientalis treatment and the P. australis treatment, respectively, and fluctuated around 5 mg/L in control. The concentrations of TN rose to above 2 mg/L in the T. orientalis treatment and the P. australis treatment and remained below 2 mg/L in the control. The concentrations of TP varied between 0.10 to 0.25 mg/L in the T. orientalis treatment and the P. australis treatment and declined from 0.10 to 0.05 mg/L in the control. During incubation, DO concentrations were significantly lower in the T. orientalis treatment and the P. australis treatment than in the control, and the concentrations of DOC, TN, and TP were significantly higher in the T. orientalis treatment and the P. australis treatment than in the control (Figure 3).
The concentrations of NH4-N in the water columns with plant material addition rose to above 0.5 mg/L in the first 20 days and then decreased to 0.2 mg/L. The concentrations of NH4-N gradually declined to below 0.1 mg/L in the control but were not significantly different from that in the T. orientalis treatment and the P. australis treatment at most sampling times. The concentrations of NO3–N varied between 0.5 to 2.0 mg/L in the T. orientalis treatment and the P. australis treatment and were slightly higher than in the control (Figure 3).
At the end of experiment, DO concentrations were significantly lower than at the beginning of the experiment, and DOC, TN, and NO3-N concentrations were significantly higher than at the beginning of the experiment in the T. orientalis treatment and the P. australis treatment. Moreover, the concentrations of TP and NH4-N were significantly lower at the end of the experiment than at the beginning of the experiment in the control (Figure 4).
The first principal component (PC I) was negatively related to DO and positive related to DOC, TN, and TP, which explained 70.2% of total variance. The second principal component (PC II) was negatively related to NO3-N and positive related to NH4-N, which explained 14.7% of total variance. The water quality of T. orientalis treatment and P. australis treatment was distinct from the control and mainly moved in the positive direction of PC I in the first 30 days and moved in the negative direction of PC II in the following days (Figure 5).

3.3. Relationship between Water Quality and Decomposition

The releases of C, N, and P presented a negative effect on DO dynamic in both the T. orientalis treatment and the P. australis treatment. A positive relationship between DOC concentrations and C, N, and P releases was found in the P. australis treatment. The concentrations of TN and NO3-N were positively correlated with N release, and the concentrations of NO3-N were also positively correlated with C release in the P. australis treatment. The concentrations TP and NH4-N showed nonsignificant correlations with C, N, or P release (Table 2).
A structural equation modelling (SEM) was constructed to quantify the contribution of emergent macrophyte decomposition to DO depletion, based on the known mechanisms of oxygen consumption including organic matter degradation and nitrification. The SEM showed a reasonable fit to our hypothesized causal relationships (χ2 = 4.18, p = 0.52, df = 5, comparative fit index (CFI) = 1.00, goodness of fit index (GFI) = 0.98, and root mean square error of approximation (RMSEA) < 0.001). The parameters included in the model explained 47% of the variation in DO dynamics. The release of C and N from plant material was negatively correlated with DO concentrations. Emergent macrophyte decomposition also indirectly influenced DO concentration by increasing DOC concentration and changing DOC to the NH4-N ratio and NH4-N to the NO3-N ratio (Figure 6).

4. Discussion

Our results confirm that emergent macrophytes are significantly decomposed in winter when temperate lakes are under ice cover. The mass loss is similar to a field experiment conducted in another temperate lake in North China [19], which indicates that winter decomposition under ice will not be an artificial phenomenon in our incubation experiment. Winter decomposition of emergent macrophytes under ice may result from several factors. First, leaching of soluble materials is relatively independent of temperature [24] and rapid mass loss at the initial stage of decomposition is likely attributed to the leaching process in spite of low water temperature. Second, the cold but stable habitats in ice-covered lakes favors psychrophilic microorganisms in the water column and sediments [25]. Although we did not measure microbial metabolism during decomposition, an aquatic decomposer including both of bacteria and fungi is known to exhibit relatively high diversity and activity under ice cover [26,27]. Moreover, biological degradation of organic matter from temperate lake sediments in cold environments is sometimes more efficient than in warm environments due to microbial community shift [28]. Third, some of plant materials lay across the water–air interface after emergent macrophytes senescence. When ice lifts, freezing performs physical fragmentation on these plant materials (Figure 1c), which prompts soluble materials to release from the cracks in plant materials and increases the surface area of plant material exposed to microbial colonization [29]. Fourth, macroinvertebrates in sediments also remain active and contribute to decomposition as they are protected from freezing by the ice cover [30]. Regardless of the causes, the mass loss of T. orientalis and P. australis under ice (about 30% of initial mass) is only a little less than in ice-free condition (30–40% of initial mass) for the same incubation time [12,31,32]; thus, winter decomposition under ice should not be ignored.
The inputs of plant materials in our experiment (1 g/L or 0.5 kg/m2) did not exceed normal emergent macrophytes biomass, but such an amount of plant materials will rarely be submerge into water simultaneously in nature, so the influences of emergent macrophyte decomposition on water quality may be overestimated. In spite of this weakness, our experiment provides a novel insight into the influences of winter decomposition on water quality, which has always been investigated in ice-free water columns [11,12,15,16]. In general, the great discrepancy of water quality between T. orientalis treatment, P. australis treatment, and the control suggests that winter decomposition of emergent macrophytes exerts negative and multiple influences on water quality under ice (Figure 5).
The addition of plant material resulted in 150–250% increases in DOC concentration in receiving water at the end of incubation compared to initial concentrations (Figure 4). In contrast, DOC concentrations in the control remained unchanged during incubation (Figure 3), indicating that little DOC was released by sediments and that the increases in DOC in the T. orientalis treatment and the P. australis treatment originate from decomposing emergent macrophytes. The increase in DOC in the water column after plant material submergence coincides with previous research [12,33,34]; however, the high concentration of DOC only lasts for several days and recovers to normal in the growing season [34]. The decrease in DOC in the later period of incubation is the result of DOC mineralization exceeding formation [35]. Cold water temperatures could constrain the microbial consumption of DOC but not hinder the leaching of DOC from plant materials [36]. Therefore, the released DOC accumulates in the water columns for the whole winter.
A significant rise in TN in the water column was observed in the T. orientalis treatment and the P. australis treatment. Although NO3-N contributed to the majority of TN increases at the end of incubation, most of the NO3-N might not be directly released by plant materials [24]. The accumulation of NO3-N was accompanied with the decrease of NH4-N (Figure 3), implying that the increases of NO3-N would be produced by nitrification. Without the supply of nitrogen by decomposing emergent macrophytes, nitrification could induce exhaustion of NH4-N. Unlike our results, decomposition of emergent macrophytes will not cause NO3-N accumulation in the water columns in a warm environment, since the generated NO3-N from nitrification will be removed by denitrification [11]. Furthermore, liable dissolved organic carbon released by plant materials provides high-quality carbon sources for denitrifying bacteria, prompting the removal of NO3-N [37]. As the efficiency of denitrification is inversely related to temperature and will decline to a negligible level below 5 °C [38], most of the NO3-N generated during decomposition would accumulate in the cold water.
The dynamics of TP in the water column were somewhat different from TN. While a considerable proportion of P was released, accumulation of TP in the water columns was not found at the end of incubation in the T. orientalis treatment or the P. australis treatment, and the concentrations of TP significantly declined in the control (Figure 4). A possible explanation is that P in the water columns will absorb to Al, Mn, and Ca minerals or form organic matter in sediments, especially in a static environment [39]. The water columns under ice cover benefited from such removal of P that offset P releases from plant materials.
As we anticipated. serious DO depletion in the water columns occurred in the T. orientalis treatment and the P. australis treatment. The negative correlation between DO dynamics and C, N, and P releases from plant materials indicates that emergent macrophyte decomposition might directly contribute to the deficit of DO in the water columns (Table 2), but DO depletion under ice would result from a series of complex processes. Most importantly, ice cover cuts off oxygen replenishment from the atmosphere [21], so DO concentration will reasonably decline when there is a great DO demand in the water columns. The demand of DO in ice-covered lakes is generally attributed to organic matter degradation [40], and our results suggest two possible pathways for emergent macrophyte decomposition to consume DO by organic matter degradation. One is the microbial metabolism of liable organic matter in plant materials which might account for part of the carbon loss during decomposition; another is the mineralization of released DOC from plant materials in the water columns (Figure 6). In addition, recent research also points out the contribution of nitrification on DO depletion in ice-covered lakes [41]. A decease in the ratio of NH4-N to NO3-N in the water column, which is the evidence of nitrification, was found in our experiment but was not significantly related with the dynamics of DO (Figure 6). This paradox can be explained by the rapid decreases of DO at the initial stage of incubation. When the NH4-N to NO3-N ratio declined, DO concentrations were already below 1 mg/L with no obvious decrease trends, so the relationship between nitrification and DO depletion was difficult to recognize. Even so, nitrification can occur under DO concentrations as low as 0.4 mg/L [42] and constantly consumes DO at later periods of incubation. Moreover, the accumulated DOC in the water columns may constrain nitrification for the competitive advantage of heterotrophic bacteria to nitrifying bacteria [43]. Although the DOC to NH4-N ratio is positively related to DO dynamics, both DOC mineralization and nitrification will consume DO. The combined effects of all these factors finally result in DO depletion for the ice-covered water columns.

5. Conclusions

By 120 days of incubation in winter, we found substantial mass loss of emergent macrophytes, significant accumulation of DOC and NO3-N, and depletion of DO in the water columns with decomposing plant materials. Our results imply that winter decomposition of emergent macrophytes in the littoral zone of temperate lakes will not be inhibited by ice cover and that emergent macrophytes decomposition could contribute to DO depletion under ice by organic matter degradation and nitrification. We conclude that winter decomposition of emergent macrophytes produces negative influences on water quality and that the indices and duration of water-quality change affected by emergent macrophytes decomposition under ice are different from in ice-free conditions [11,12,15,16,34]. Further research should evaluate the influences of emergent macrophyte decomposition under ice on whole-lake water quality based on field observation.

Author Contributions

Conceptualization, Y.W. and M.Z.; validation, L.C., W.L. (Wei Li), and Y.L.; formal analysis, Y.W., X.P., and W.L. (Weiwei Liu); investigation, Y.W., X.P., and W.L. (Wei Li); resources, M.Z.; writing—original draft preparation, Y.W.; writing—review and editing, M.Z., L.C., X.P., and W.L. (Weiwei Liu); visualization, Y.L.; supervision, L.C.; funding acquisition, M.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Fundamental Research Funds for the Central Nonprofit Research Institution of CAF, grant number CAFINT2015C10, and National Key Research and Development Program of China, grant number 2017YFC0503804.

Acknowledgments

We thank Li Zhang from Plant Science Facility of the Institute of Botany, Chinese Academy of Sciences for the assistance on chemical analysis. We also thank Meng Liu from Administrative Committee of Hebei Hengshui Lake National Nature Reserve for the help in fieldwork.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Table A1. The physicochemical properties of the sediment used in the incubation experiment.
Table A1. The physicochemical properties of the sediment used in the incubation experiment.
pHSand (%)Silt (%)Clay (%)Total Organic Carbon (mg/g)Available Nitrogen (mg/kg)Available Phosphorus (mg/kg)Available Potassium (mg/g)
8.3915.5736.4048.031.7920.613.960.13
Figure A1. Dynamics of air temperature and precipitation from 1 November 2015 to 30 March 2016 at Hengshui Lake.
Figure A1. Dynamics of air temperature and precipitation from 1 November 2015 to 30 March 2016 at Hengshui Lake.
Water 12 02640 g0a1
Table A2. The initial contents of C, N, and P of plant materials (mean ± standard deviation, n = 8).
Table A2. The initial contents of C, N, and P of plant materials (mean ± standard deviation, n = 8).
C (mg/g)N (mg/g)P (mg/g)
Typha orientalis412.56 ± 7.93 a13.77 ± 1.68 a1.35 ± 0.09 a
Phragmites australis395.31 ± 9.45 b9.95 ± 1.05 b0.49 ± 0.05 b
Different lowercase letters mean significant differences between species at 0.05 level.

References

  1. Asaeda, T.; Trung, V.K.; Manatunge, J. Modeling the effects of macrophyte growth and decomposition on the nutrient budget in Shallow Lakes. Aquat. Bot. 2000, 68, 217–237. [Google Scholar] [CrossRef]
  2. Lawniczak, A.E.; Zbierska, J.; Choiński, A.; Szczepaniak, W. Response of emergent macrophytes to hydrological changes in a shallow lake, with special reference to nutrient cycling. Hydrobiologia 2010, 656, 243–254. [Google Scholar] [CrossRef] [Green Version]
  3. Christensen, J.R.; Crumpton, W.G.; van der Valk, A.G. Estimating the breakdown and accumulation of emergent macrophyte litter: A mass-balance approach. Wetlands 2009, 29, 204–214. [Google Scholar] [CrossRef]
  4. Banks, L.K.; Frost, P.C. Biomass loss and nutrient release from decomposing aquatic macrophytes: Effects of detrital mixing. Aquat. Sci. 2017, 79, 881–890. [Google Scholar] [CrossRef]
  5. Pieczyńska, E. Detritus and nutrient dynamics in the shore zone of lakes: A review. Hydrobiologia 1993, 251, 49–58. [Google Scholar] [CrossRef]
  6. Smith, V.H.; Schindler, D.W. Eutrophication science: Where do we go from here. Trends Ecol. Evol. 2009, 24, 201–207. [Google Scholar] [CrossRef]
  7. Sarneel, J.M.; Geurts, J.J.M.; Beltman, B.; Lamers, L.P.M.; Nijzink, M.M.; Soons, M.B. The effect of nutrient enrichment of either the bank or the surface water on shoreline vegetation and decomposition. Ecosystems 2010, 13, 1275–1286. [Google Scholar] [CrossRef] [Green Version]
  8. Jeppesen, E.; Meerhoff, M.; Jacobsen, B.A.; Hansen, R.S.; Søndergaard, M.; Jensen, J.P.; Lauridsen, T.L.; Mazzeo, N.; Branco, C.W.C. Restoration of shallow lakes by nutrient control and biomanipulation-the successful strategy varies with lake size and climate. Hydrobiologia 2007, 581, 269–285. [Google Scholar] [CrossRef]
  9. Erik, J.; Martin, S.; Liu, Z. Lake restoration and management in a climate, change perspective: An introduction. Water 2017, 9, 122. [Google Scholar]
  10. Mann, C.J.; Wetzel, R.G. Effects of the emergent macrophyte Juncus Effusus L. on the chemical composition of interstitial water and bacterial productivity. Biogeochemistry 2000, 48, 307–322. [Google Scholar] [CrossRef]
  11. Pan, X.; Ping, Y.; Cui, L.; Li, W.; Zhang, X.; Zhou, J.; Yu, F.; Prinzing, A. Plant litter submergence affect the water quality of a constructed wetland. PLoS ONE 2017, 12, e0171019. [Google Scholar] [CrossRef] [PubMed]
  12. Wu, S.; He, S.; Huang, J.; Gu, J.; Zhou, W.; Gao, L. Decomposition of emergent aquatic plant (cattail) litter under different conditions and the influence on water quality. Water Air Soil Poll. 2017, 228, 70. [Google Scholar] [CrossRef]
  13. Morris, J.T.; Lajtha, K. Decomposition and nutrient dynamics of litter from four species of freshwater emergent macrophytes. Hydrobiologia 1986, 131, 215–223. [Google Scholar] [CrossRef]
  14. Belova, M. Microbial decomposition of freshwater macrophytes in the littoral zone of lakes. Hydrobiologia 1993, 251, 59–64. [Google Scholar] [CrossRef]
  15. Kröger, R.; Holland, M.M.; Moore, M.T.; Cooper, C.M. Plant senescence: A mechanism for nutrient release in temperate agricultural wetlands. Environ. Poll. 2007, 146, 114–119. [Google Scholar] [CrossRef]
  16. Menon, R.; Holland, M.M. Phosphorus release due to decomposition of wetland plants. Wetlands 2014, 34, 1191–1196. [Google Scholar] [CrossRef]
  17. Longhi, D.; Bartoli, M.; Viaroli, P. Decomposition of four macrophytes in wetland sediments: Organic matter and nutrient decay and associated benthic processes. Aquat. Bot. 2008, 89, 303–310. [Google Scholar] [CrossRef]
  18. Eriksson, P.G.; Andersson, J.L. Potential nitrification and cation exchange on litter of emergent, freshwater macrophytes. Freshw. Biol. 1999, 42, 479–486. [Google Scholar]
  19. Li, X.; Cui, B.; Yang, Q.; Lan, Y.; Wang, T.; Han, Z. Effects of plant species on macrophyte decomposition under three nutrient conditions in a eutrophic shallow lake, North China. Ecol. Model. 2013, 252, 121–128. [Google Scholar] [CrossRef]
  20. Gingerich, R.T.; Merovich, G.; Anderson, J.T. Influence of environmental parameters on litter decomposition in wetlands in West Virginia, USA. J. Freshwater Ecol. 2014, 29, 535–549. [Google Scholar] [CrossRef]
  21. Kirillin, G.; Lepparanta, M.; Terzhevik, A.; Nikolai, G.; Bernhardt, J.; Engelhardt, C.; Efremova, T.; Golosov, S.; Palshin, N.; Sherstyankin, P.; et al. Physics of seasonally ice-covered lakes: A review. Aquat. Sci. 2012, 74, 659–682. [Google Scholar] [CrossRef]
  22. Lindenschmidt, K.; Baulch, H.M.; Cavaliere, E. River and lake ice processes—Impacts of freshwater ice on aquatic ecosystems in a changing globe. Water 2018, 10, 1586. [Google Scholar] [CrossRef] [Green Version]
  23. Xu, W.; Yu, Y.; Ma, M.; Guo, J.; Zhao, N.; Li, X. Effects of water replenishment from Yellow River on water quality of Hengshui Lake. J. Marine Biol. Aquacul. 2018, 4, 11–13. [Google Scholar]
  24. Kim, Y.; Ullah, S.; Moore, T.R.; Roulet, N.T. Dissolved organic carbon and total dissolved nitrogen production by boreal soils and litter: The role of flooding, oxygen concentration, and temperature. Biogeochemistry 2014, 118, 35–48. [Google Scholar] [CrossRef]
  25. Margesin, R.; Miteva, V. Diversity and ecology of psychrophilic microorganisms. Res. Microbiol. 2011, 162, 346–361. [Google Scholar] [CrossRef] [PubMed]
  26. Tsuji, M.; Fujiu, S.; Xiao, N.; Hanada, Y.; Kudoh, S.; Kondo, H.; Tsuda, S.; Hoshino, T. Cold adaptation of fungi obtained from soil and lake sediment in the Skarvsnes ice-free area, Antarctica. FEMS Microbiol. Lett. 2013, 346, 121–130. [Google Scholar] [CrossRef] [Green Version]
  27. Beall, B.F.N.; Twiss, M.R.; Smith, D.E.; Oyserman, B.O.; Mckay, R.M.L. Ice cover extent drives phytoplankton- and bacterial community structure in a large north-temperate lake: Implications for a warming climate. Environ. Microbiol. 2016, 18, 1704–1719. [Google Scholar] [CrossRef] [PubMed]
  28. Song, N.; He, Y.; Jiang, H. Inferior adaptation of bay sediments in a eutrophic shallow lake to winter season for organic matter decomposition. Environ. Poll. 2016, 219, 794–803. [Google Scholar] [CrossRef] [PubMed]
  29. Wu, F.; Yang, W.; Zhang, J.; Deng, R. Fine root decomposition in two subalpine forests during the freeze-thaw season. Can. J. For. Res. 2010, 40, 135–140. [Google Scholar] [CrossRef]
  30. Bohman, I.M.; Herrmann, J. The timing of winter-growing shredder species and leaf litter turnover rate in an oligotrophic lake, SE Sweden. Hydrobiologia 2006, 556, 99–108. [Google Scholar] [CrossRef]
  31. Wang, M.; Hao, T.; Deng, X.; Wang, Z.; Li, Z. Effects of sediment-borne nutrient and litter quality on macrophyte decomposition and nutrient release. Hydrobiologia 2017, 787, 205–215. [Google Scholar] [CrossRef]
  32. Xie, Y.; Xie, Y.; Xiao, H.; Chen, X.; Li, F. Controls on litter decomposition of emergent macrophyte in Dongting lake wetlands. Ecosystems 2017, 20, 1383–1389. [Google Scholar] [CrossRef]
  33. Villa, J.A.; Mitsch, W.J.; Song, K.; Miao, S. Contribution of different wetland plant species to the DOC exported from a mesocosm experiment in the Florida Everglades. Ecol. Eng. 2014, 71, 118–125. [Google Scholar] [CrossRef]
  34. Bonanomia, G.; Senatorea, M.; Migliozzia, A.; de Marcob, A.; Pintimallic, A.; Lanzottia, V.; Mazzoleniaa, S. Decomposition of submerged plant litter in a Mediterranean reservoir: A microcosm study. Aquat. Bot. 2015, 120, 169–177. [Google Scholar] [CrossRef]
  35. Assunção, A.W.d.A.; Souza, B.P.; da Cunha-Santino, M.B.; Bianchini, I., Jr. Formation and mineralization kinetics of dissolved humic substances from aquatic macrophytes decomposition. J. Soil Sediment. 2016, 18, 1252–1264. [Google Scholar]
  36. Whitworth, K.L.; Baldwin, D.S.; Kerr, J.L. The effect of temperature on leaching and subsequent decomposition of dissolved carbon from inundated floodplain litter: Implications for the generation of hypoxic blackwater in lowland floodplain rivers. Chem. Ecol. 2014, 30, 491–500. [Google Scholar] [CrossRef]
  37. Hume, N.P.; Fleming, M.S.; Horne, A.J. Denitrification potential and carbon quality of four aquatic plants in wetland microcosms. Soil Sci. Soc. Am. J. 2002, 66, 1706–1712. [Google Scholar] [CrossRef] [Green Version]
  38. Yan, Y.; Xu, J. Improving winter performance of constructed wetlands for wastewater treatment in Northern China: A review. Wetlands 2014, 34, 243–253. [Google Scholar] [CrossRef]
  39. Mueller, S.; Mitrovic, S.M.; & Baldwin, D.S. Oxygen and dissolved organic carbon control release of N, P and Fe from the sediments of a shallow, polymictic lake. J. Soil Sediment. 2016, 16, 1109–1120. [Google Scholar] [CrossRef]
  40. Meding, M.E.; Jackson, L.J. Biological implications of empirical models of winter oxygen depletion. Can. J. Fish. Aquat. Sci. 2001, 58, 1727–1736. [Google Scholar] [CrossRef]
  41. Powers, S.M.; Baulch, H.M.; Hampton, S.E.; Labou, S.G.; Lottig, N.R.; Stanley, E.H. Nitrification contributes to winter oxygen depletion in seasonally frozen forested lakes. Biogeochemistry 2017, 136, 119–129. [Google Scholar] [CrossRef] [Green Version]
  42. Rodriguez-Sanchez, A.; Gonzalez-Martinez, A.; Martinez-Toledo, M.V.; Garcia-Ruiz, M.J.; Osorio, F.; Gonzalez-Lopez, J. The effect of influent characteristics and operational conditions over the performance and microbial community structure of partial nitritation reactors. Water 2014, 6, 1905–1924. [Google Scholar] [CrossRef] [Green Version]
  43. Strauss, E.A.; Lamberti, G.A. Effect of dissolved organic carbon quality on microbial decomposition and nitrification rates in stream sediments. Freshw. Biol. 2002, 47, 65–74. [Google Scholar] [CrossRef]
Figure 1. (a) On 22 November 2015, the water surface of mesocosms began to freeze. (b) On 25 November 2015, the water columns of mesocosms were under snow and ice cover. (c) On 1 December 2015, P. australis decomposed under ice. (d) On 20 March 2016, the decomposition of T. orientalis in the mesocosm after ice-off was incomplete.
Figure 1. (a) On 22 November 2015, the water surface of mesocosms began to freeze. (b) On 25 November 2015, the water columns of mesocosms were under snow and ice cover. (c) On 1 December 2015, P. australis decomposed under ice. (d) On 20 March 2016, the decomposition of T. orientalis in the mesocosm after ice-off was incomplete.
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Figure 2. The remaining mass of plant materials and C, N, and P release from plant materials during decomposition.
Figure 2. The remaining mass of plant materials and C, N, and P release from plant materials during decomposition.
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Figure 3. Dynamics of dissolved oxygen (DO), dissolved organic carbon (DOC), total nitrogen (TN), total phosphorus (TP), ammonium nitrogen (NH4-N), and nitrate nitrogen (NO3-N) in the water column during the 120-day incubation. * Significant difference between T. orientalis treatment and control, × significant difference between P. australis treatment and control (repeated measures ANOVA, post hoc Dunnett’s tests, p < 0.05).
Figure 3. Dynamics of dissolved oxygen (DO), dissolved organic carbon (DOC), total nitrogen (TN), total phosphorus (TP), ammonium nitrogen (NH4-N), and nitrate nitrogen (NO3-N) in the water column during the 120-day incubation. * Significant difference between T. orientalis treatment and control, × significant difference between P. australis treatment and control (repeated measures ANOVA, post hoc Dunnett’s tests, p < 0.05).
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Figure 4. Change ratios of DO, DOC, TN, TP, NH4-N, and NO3-N in the water columns before and after the experiment. *** Significance at p < 0.001; ** significance at p < 0.01; and * significance at p < 0.05 (paired t test).
Figure 4. Change ratios of DO, DOC, TN, TP, NH4-N, and NO3-N in the water columns before and after the experiment. *** Significance at p < 0.001; ** significance at p < 0.01; and * significance at p < 0.05 (paired t test).
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Figure 5. Principal component analysis (PCA) on water-quality dynamics through the experimental period: the dashed arrow indicates the succession of water quality from 0 to 120 days.
Figure 5. Principal component analysis (PCA) on water-quality dynamics through the experimental period: the dashed arrow indicates the succession of water quality from 0 to 120 days.
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Figure 6. A structural equation model (SEM) of the causal relationships among C, N, and P release and DO, DOC, NH4-N, and NO3-N dynamics in the water column: the solid and dashed lines indicate significant (p < 0.05) and nonsignificant effects, respectively. The numbers above arrows are path coefficients. The R2 values represent the proportion of variance explained for each endogenous variable.
Figure 6. A structural equation model (SEM) of the causal relationships among C, N, and P release and DO, DOC, NH4-N, and NO3-N dynamics in the water column: the solid and dashed lines indicate significant (p < 0.05) and nonsignificant effects, respectively. The numbers above arrows are path coefficients. The R2 values represent the proportion of variance explained for each endogenous variable.
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Table 1. Repeated measures ANOVA results for the effects of treatments (T. orientalis treatment, P. australis treatment, and control) and sampling time (days 0, 1, 3, 5, 10, 15, 30, 60, 90, and 120) on water quality indices, including dissolved oxygen (DO), dissolved organic carbon (DOC), total nitrogen (TN), total phosphorus (TP), ammonium nitrogen (NH4-N), and nitrate nitrogen (NO3-N).
Table 1. Repeated measures ANOVA results for the effects of treatments (T. orientalis treatment, P. australis treatment, and control) and sampling time (days 0, 1, 3, 5, 10, 15, 30, 60, 90, and 120) on water quality indices, including dissolved oxygen (DO), dissolved organic carbon (DOC), total nitrogen (TN), total phosphorus (TP), ammonium nitrogen (NH4-N), and nitrate nitrogen (NO3-N).
SourceDODOCTNTPNH4-NNO3-N
Treatment (T)F2,6 = 2702.39 **F2,6 = 471.37 **F2,6 = 24.26 **F2,6 = 244.92 **F2,6 = 15.47 **F2,6 = 16.07 **
Sampling time (S)F9,54 = 125.36 **F9,54 = 11.72 **F9,54 = 6.63 **F9,54 = 4.71 **F9,54 = 10.25 **F9,54 = 3.02 **
T × SF18,54 = 37.29 **F18,54 = 5.22 **F18,54 = 3.72**F18,54 = 4.11 **F18,54 = 1.74 nsF18,54 = 0.88 ns
** Significance at p < 0.01; ns, no significant differences, i.e., p > 0.05.
Table 2. Pearson’s correlation coefficients between the concentrations of DO, DOC, TN, TP, NH4-N, and NO3-N in the water column and the release rates of C, N, and P from plant materials.
Table 2. Pearson’s correlation coefficients between the concentrations of DO, DOC, TN, TP, NH4-N, and NO3-N in the water column and the release rates of C, N, and P from plant materials.
DODOCTNTPNH4-NNO3-N
T. orientalis
C release−0.605 ns0.453 ns−0.409 ns−0.045 ns−0.528 ns0.277 ns
N release−0.656 *0.447 ns−0.441 ns0.003 ns−0.523 ns0.183 ns
P release−0.788 *0.599 ns−0.238 ns−0.112 ns−0.320 ns0.306 ns
P. australis
C release−0.717 *0.954 **0.458 ns−0.119 ns−0.313 ns0.683 *
N release−0.696 *0.923 **0.718 *−0.022 ns−0.015 ns0.750 *
P release−0.785 **0.842 *0.458 ns0.071 ns−0.139 ns0.547 ns
** Significance at p < 0.01; * significance at p < 0.05; ns, no significant differences, i.e., p > 0.05.

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MDPI and ACS Style

Wei, Y.; Zhang, M.; Cui, L.; Pan, X.; Liu, W.; Li, W.; Lei, Y. Winter Decomposition of Emergent Macrophytes Affects Water Quality under Ice in a Temperate Shallow Lake. Water 2020, 12, 2640. https://doi.org/10.3390/w12092640

AMA Style

Wei Y, Zhang M, Cui L, Pan X, Liu W, Li W, Lei Y. Winter Decomposition of Emergent Macrophytes Affects Water Quality under Ice in a Temperate Shallow Lake. Water. 2020; 12(9):2640. https://doi.org/10.3390/w12092640

Chicago/Turabian Style

Wei, Yuanyun, Manyin Zhang, Lijuan Cui, Xu Pan, Weiwei Liu, Wei Li, and Yinru Lei. 2020. "Winter Decomposition of Emergent Macrophytes Affects Water Quality under Ice in a Temperate Shallow Lake" Water 12, no. 9: 2640. https://doi.org/10.3390/w12092640

APA Style

Wei, Y., Zhang, M., Cui, L., Pan, X., Liu, W., Li, W., & Lei, Y. (2020). Winter Decomposition of Emergent Macrophytes Affects Water Quality under Ice in a Temperate Shallow Lake. Water, 12(9), 2640. https://doi.org/10.3390/w12092640

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