Figures
Abstract
Soil nitrogen (N) mineralization in wetlands is sensitive to various environmental factors. To compare the effects of salinity and temperature on N mineralization, wetland soils from a tidal freshwater marsh locating in the Yellow River Delta was incubated over a 48-d anaerobic incubation period under four salinity concentrations (0, 10, 20 and 35‰) and four temperature levels (10, 20, 30 and 40°C). The results suggested that accumulated ammonium nitrogen (NH4+-N) increased with increasing incubation time under all salinity concentrations. Higher temperatures and salinities significantly enhanced soil N mineralization except for a short-term (≈10 days) inhibiting effect found under 35‰ salinity. The incubation time, temperature, salinity and their interactions exhibited significant effects on N mineralization (P<0.001) except the interactive effect of salinity and temperature (P>0.05), while temperature exhibited the greatest effect (P<0.001). Meanwhile, N mineralization processes were simulated using both an effective accumulated temperature model and a one-pool model. Both models fit well with the simulation of soil N mineralization process in the coastal freshwater wetlands under a range of 30 to 40°C (R2 = 0.88–0.99, P<0.01). Our results indicated that an enhanced NH4+-N release with increasing temperature and salinity deriving from the projected global warming could have profound effects on nutrient cycling in coastal wetland ecosystems.
Citation: Gao H, Bai J, He X, Zhao Q, Lu Q, Wang J (2014) High Temperature and Salinity Enhance Soil Nitrogen Mineralization in a Tidal Freshwater Marsh. PLoS ONE 9(4): e95011. https://doi.org/10.1371/journal.pone.0095011
Editor: Fei-Hai Yu, Beijing Forestry University, China
Received: December 23, 2013; Accepted: March 21, 2014; Published: April 14, 2014
Copyright: © 2014 Gao et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This work was financially supported by the National Science Foundation for Innovative Research Group (51121003), the National Basic Research Program Cover Letter (2013CB430406), National Natural Science Foundation of China (51179006), the Program for New Century Excellent Talents in University (NECT-10-0235) and the Fok Ying Tung Foundation (132009). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Nitrogen (N) is the most limiting nutrient in flooded soils [1]–[3], especially in coastal wetland ecosystems [4], [5]. Studies have shown that N availability greatly affects plant growth, diversity and possible successional changes [6]–[8]. Organic N transformed into inorganic N via N mineralization primarily determines the soil N availability [2], [9], which is also closely related to greenhouse gas emissions (i.e., N2O, NO, and other forms). Therefore, a better understanding of N mineralization processes is important for improving the sustainability of N limiting ecosystems while reducing the risk of atmospheric pollution [10]–[12].
Nitrogen mineralization in wetlands is sensitive to various environmental factors, including air temperature, water tables, flooding periods and soil properties [3], [6], [13]–[15]. Numerous studies have demonstrated that soil temperature is a primary environmental factor that influences N mineralization processes in wetland soils [2], [3], [16]. For instance, Noe et al. [17] reported that N mineralization fluxes and turnover rates in continuously freshwater tidal forests to salt impacted tidal forest to oligohaline marsh along the Waccamaw river and Savannah river in the US were generally lower in March and December compared to June and September due to differences in microbial activity as affected by seasonal variation of soil temperature. Gilliam et al. [18] suggested that mild freezing might inhibit N mineralizing microbes and stimulate N immobilizing groups. However, Zhang et al. [19] demonstrated that mild freezing had few effects on N mineralization, while Gao et al. [2] observed higher N mineralization rates in winter than in summer in a seasonal flooding wetland. Therefore, a better understanding of how variation of air temperature could affect N mineralization is urgently needed since the potential increase of the earth's surface temperature could be 1.8–4.0°C at the end of this century [20].
Salinity is another important factor that influences N mineralization in coastal wetlands [2], [6], [21]. Specifically, alluvial soils are typically subjected to seepage or flooding during high tides and coastal storms. Moreover, the poor drainage from high groundwater tables contributes to salt accumulation in surface soils [2], [21]. However, studies have shown conflicting effects (i.e., inhibiting or improving) of salinity on nitrogen mineralization in wetlands [6], [17], [21], [22]. For example, Pathak and Rao [23] suggested that N mineralization decreased with increasing salinity and was biologically mediated at higher salinity levels. Gao et al. [2] found a slight increase in the net N mineralization rate in tidal salt marshes after freshwater input. However, Chen and Twilley [22] reported that relative N mineralization of mangrove soils decreased exponentially with increasing distance from the mouth of the Shark River estuary in the USA or decreasing salinity. More recently, Noe et al. [17] demonstrated that salinification increased net N mineralization fluxes in tidal freshwater wetland soils along the floodplains of both the Waccamaw and Savannah rivers in the USA. However, these studies have primarily relied on sites positioned along salinity gradients. This configuration may not be sufficient to identify the effects of salinity on N mineralization due to the different environmental conditions at these sites.
Studies on the salinification effects on nutrient biogeochemistry in tidal freshwater wetlands are limited even though these wetlands are sensitive to sea level rise and increased salinity due to their location between non-tidal freshwater rivers and tidal saline estuaries [17], [24]. As most tidal freshwater marshes may be substantially disturbed by the conversion of freshwater marshes to brackish marshes caused by accelerated sea-level rise effects [25], [26], changing salinity may become a dominant factor influencing ecological processes in tidal freshwater marshes in coastal regions. However, few studies have simultaneously examined the effects of temperature plus salinity caused by global warming in N-limiting tidal freshwater wetlands. Therefore, the primary objectives of this study were to (1) simulate N mineralization processes for different temperatures and soil salinity levels in a tidal freshwater wetland of the Yellow River Delta and (2) investigate the effects of temperature, salinity and their interactions on N mineralization rates.
Materials and Methods
Ethics statement
Our study area is located in the Yellow River Delta wetland nature preserve, which is owned by the Chinese government. Specific permits are required for conducting research in the preserve. However, our sampling sites were not located in any strictly protected areas containing endangered or protected species.
Site description
The study area (37°35′–38°12′ N,118°33′–119°20′ E) is located in the estuary of the Yellow River Delta Wetland Nature Preserve, Shandong, China. This area has a typical monsoon (warm temperate) climate with an annual mean temperature of 11.9°C; the highest and lowest temperatures (39.7°C and −23.3°C, respectively) occur in July and January, respectively. Moreover, the annual mean precipitation is 640 mm (70% of the precipitation falls between June and August). Typical freshwater wetlands dominated by P. australis were selected. These sites were 150 m away from the southern riverbank along the lower reach of the Yellow River, where the soil is Eutric Fluvisol [27] with >85% of silt. The study site has a relatively higher topography compared with the floodplains near the river and can be flooded by the Yellow River after the annual flow-sediment regulation in late June. However, this area is likely to be flooded with seawater in the future due to potential increases in sea level.
Soil sampling
Plant root system mainly distributed in upper soils, though the rhizome of P. australis could reach to more than 70cm soil depth. In general, top soils exhibited higher N contents and are more sensitive to environmental changes (e.g. temperature, hydrological changes) compared to deeper soils [4], [28]. Moreover, top soils (0–20 cm) in five sampling sites with five replicates were randomly collected from the freshwater marsh (P. australis) in September 2008 and transported to the laboratory at 4°C with an ice cooler. The soils were sieved through a 2 mm nylon sieve to remove recognizable plant litters, coarse roots, and stones and subsequently divided into two portions. One portion was stored at 4 °C for incubation, soil moisture, and initial NH4+-N and NO3−-N analyses. The other portion was air-dried for three weeks and subsequently ground and sieved (0.15 mm) for physical and chemical analyses (Table 1). Five additional soil cores (100 cm3) were collected to determine the soil bulk density.
Incubation and chemical analysis
Every 20-g soil sample (oven-dried adjusted) was submerged with 15 ml of adjusted sea salt solution at the salinities 0‰, 10‰, 20‰ or 35‰ [29], [30] in 50 ml glass tubes for the salinity treatment experiments. The sea salt contained 55.03% Cl−, 30.59% Na+, 7.68% SO42−, 3.68% Mg2+, 1.18% Ca2+ and 1.11% K+ [31]. The highest salinity (35‰), which is similar to seawater at study site, was used simulate a seawater flooding intrusion caused by future sea level rise. The 10 and 20‰ salinity gradients represented mixed river and seawater flooding situations due to the location between non-tidal freshwater rivers and tidal saline estuaries [17], [24]. Deionized water was used for the 0‰ salinity, which was used as a control scenario. Alcohol-wetted burning cotton was stretched into the tube for approximately two or three seconds. Then, the cotton was slowly pulled out while the flame shrank until extinction. The oxygen above the water surface in the tube was completely consumed through combustion. Immediately thereafter, the tubes were tightly capped with rubber bungs to prevent aeration. Nitrification could be inhibited in high moisture environments, especially in submerged conditions [28], [30]–[32]. Therefore, ammonium ought to reflect N mineralization [33], [34].
Each salinity treatment had 84 replicates, which were divided into four incubation groups. The groups remained in the dark for 48 days in the constant temperature incubators at 10, 20, 30 or 40°C. A pilot experiment observed the balance of the amount of mineralized N over 48-d incubation under higher temperature ranges (20°C, 30°C and 40°C) based on the potential mineralized N of the first-order reaction kinetics model. No obvious changes in N mineralization rates at 10°C were observed over a 48-d incubation period. We designated 48 days as our incubation period. Generally, these temperatures represented the mean seasonal air temperatures at the study site. Three tubes from each salt treatment and for each temperature were randomly chosen at 2, 5, 9, 14, 21, 35, and 48 days for analysis.
Soil NH4+-N was extracted with 2 M KCl (soil:solution = 1∶2.5). Extracts were mixed for 1 hour on a longitudinal shaker and filtered through #42 Whatman filter paper and stored at 4°C to determine NH4+-N with an Astoria Analyzer 300 system (Astoria Pacific International, Taiwan). Soil organic matter (SOM) was determined according to Walkley and Black [35]. Total carbon (TC) and total nitrogen (TN) were measured using an elemental analyzer (Vario El, Elementar Co., Germany). The initial soil nitrate nitrogen (NO3−-N) and ammonium nitrogen (NH4+-N) were determined in the 2 M KCl extracts with an Astoria Analyzer 300 system (Astoria Pacific International, Taiwan). Soil pH (H2O) was measured using a pH meter (soil: water = 1∶5). Water content was evaluated by drying the soil to a constant weight at 105°C for 24 h in an oven.
Nitrogen mineralization models
Nitrogen mineralization was estimated using an effective accumulated temperature model (temperature model) [33], [36] and a first-order reaction kinetic model (one-pool model) [37]. The temperature model is described by(1)where N is the mineralized soil organic N (mg kg−1), k is the constant mineralization rate, T0 is the base point temperature (i.e., 15°C, below which microorganism activity is weak and N mineralization may be trivial), D is the incubation time at temperature T (day), and n is a mineralization constant.
The one-pool model is given by(2)where k is the instantaneous release rate, No is the potential mineralized N as
(mg kg−1), and t is the incubation time (day).
The active N fraction (ANF) in the SOM was calculated according to the following equation [38]:(3)where No is the potential mineralized N as
(mg kg−1), and TN is initial total nitrogen.
Statistical analysis
Nitrogen mineralization data were transformed using a square root transformation to ensure normality and homogeneity of the variance. Three-way ANOVA was used to test the effects of incubation time, temperature, salinity and their interactions on nitrogen mineralization. Non-linear regression analysis was implemented to determine model parameters. Statistical analyses were conducted using the SPSS 13.0 software package.
Results
Nitrogen mineralization process
Figure 1 shows the accumulated soil NH4+-N over a 48-d incubation period for four salinity levels and temperature. In general, the accumulated NH4+-N ranged from 0.05 to 33.74 mg kg−1 and was generally significantly increased with increasing incubation time for temperatures of 20°C, 30°C and 40°C (r2 = 0.77, P<0.001, Table 2 and Figure 1). ANOVA analysis showed that the incubation time significantly affected N mineralization rates (P<0.001). However, a decreasing trend was found at 10°C, irrespective of the salinity concentrations (Figure 1). The incubation temperature also exhibited a significant effect on N mineralization in this study (P<0.001, Table 2). The accumulated NH4+-N under incubation temperatures was ranked as follows: 40°C>30°C>20°C>10°C, regardless of the chosen salinity. Significantly higher mineralized N was observed at higher temperatures. It is noted that a much lower level of the accumulated NH4+-N was maintained over the incubation time under four salinity levels at 10°C. By the end of the 48-d incubation period, the accumulated NH4+-N at 40°C was two and five times higher than at 30°C and 20°C, respectively. Meanwhile, the accumulated NH4+-N for a given temperature remained nearly the same during the entire incubation period under all salinity treatments. One exception was found for a temperature of 40°C after 10 days.
The accumulated NH4+-N was lower before 10 days into the incubation period at 20°C, 30°C and 40°C under 35‰ salinity concentration compared to the other salinity treatments. As shown in Table 2, salinity also showed significant effects on the mineralized N (P<0.001). The accumulated NH4+-N was generally higher at salinities of 20‰ and 35‰ compared with salinities 0‰ and 10‰ (Figure 1). In particular, the accumulated NH4+-N under 0‰ salinity treatment showed significantly lower values after 10 days of incubation at 30°C and 40°C than other salinity treatment (P<0.05). Incubation time, temperature, salinity and their interaction effects on N mineralization were all significant (P<0.001, Table 2), except for the salinity and temperature interaction (P>0.05, Table 2). Generally, temperature exhibited the greatest effect on N mineralization according to the F values, followed by the incubation time, whereas salinity exhibited the least effects on N mineralization (Table 2).
Nitrogen mineralization modeling
The accumulated NH4+-N at 10°C was not simulated using the temperature and one-pool models because it remained nearly stable over the 48-d incubation period (Figure 2a). The parameters (k, n) for both models were identified based on the experiment data under other incubation temperatures, i.e., 20, 30 and 40°C (Tables 3 and 4). Generally, k ranged from 0.004 to 2.552 and increased with increasing incubation temperature and n ranged from 0.346 to 1.299 and decreased with increasing temperature for the temperature model (Table 3). Moreover, k was highest at 0‰ salinity and 40°C and lowest at 35‰ salinity and 20°C; n was highest at 35‰ salinity and 20°C and lowest at 10‰ salinity and 40°C. In addition, no pronounced changing trends were observed between salinity concentrations at the same incubation temperature for both k and n. Both the effective accumulated temperature and one-pool models fit well with the predicted N mineralization under higher temperatures of 30 and 40°C (Figure 2). The regression analyses (Tables 3 and 4) showed that these parameters were ideal for both models with a better fitness (R2 = 0.88–0.99, P<0.01) at both 30 and 40°C than at 20°C (R2 = 0.30–0.85, P<0.05).
In general, N0 and k increased with increasing incubation temperature for the one-pool model (Table 4). Moreover, N0 increased and k decreased with increasing salinity (i.e., from 10 to 35‰). At 20°C and 40°C, N0 was lower than the observed accumulated NH4+-N at the end of the incubation period; the opposite was true at 30°C (Figure 2; Table 4). The ANF increased with increasing incubation temperature (Table 5). The potential mineralized N from SOM ranged from 0.65% to 9.36% of total N (0.38 g/kg, Table 1) under the four salinity treatments. The incubation times required to mineralize half of the N0 (t1/2) were generally less than 2 weeks and longest for 4 weeks. Additionally, a rapid decrease in t1/2 was observed from 30°C to 40°C under 35‰ salinity compared with the other salinity treatments. Compared with the temperature model over the entire 48-d incubation period, the one-pool model better represented the observed accumulated NH4+-N values at 30°C for all the four salinity concentrations.
Discussion
Effects of temperature and salinity on N mineralization
The accumulated NH4+-N increased with increasing incubation time under almost all temperature treatments except at 10°C (Figures 1 and 2). This finding is consistent with results of previous studies in wetland and paddy soils [17], [33], [34], [37]. The reason for the significant effect of incubation temperature on N mineralization in this study (P<0.01, Table 2) was that because temperature could greatly affect soil microbial processes [6], [10], [16], [29], [39] and higher temperature favored microbial and enzyme activity [2], [40] and thus enhanced N mineralization processes. In contrast, lower temperatures (e.g. 10°C) exhibited inhibiting effects (Figure 1) due to lower microbial and enzyme activities [19], [41]. Grenon et al. [42] also showed that most microbial metabolic rates are positively related to temperature. However, at extremely lower temperature (e.g. freezing) in non-growing seasons, higher N mineralization rates might occur due to lower N immobilization of microbes [2], [19]. Root mortality at freezing temperature might enhance N immobilization sine more available C would be released from detritus and enhance microbial activity [19]. Moreover, lower microbial biomass was likely correlated with faster net N mineralization [18], [19]. Therefore, microbial activities can be used to predict the N mineralization rate because soil microorganisms are primarily responsible for the transformation of organic N to mineral N [10], [34].
Studies have reported that N mineralization decreased with increasing salinity and was biologically mediated at higher salinities [12], [20], [23] because microbial activity can be inhibited at high salinities (>500 mS m−1) [6], [29], [43]. Muhammad et al. [44] and Tripathi et al. [45] also presented that both soil respiration and soil microbial biomass were negatively correlated with soil salinity. Additionally, Wong et al. [46] addressed that high salinity (30 dS m−1) increased electrolyte concentrations and caused the soil to flocculate, preventing the organic N release. However, obvious inhibiting effects of high salinity on N mineralization processes were not observed in this study. A higher accumulated NH4+-N corresponded with higher salinity treatments, which was supported by Neo et al. [17], who suggested that increasing salinity from 0.1 to 3.5‰ contributes to soil N mineralization in tidal forested wetlands. Chen and Twilley [22] also observed higher N mineralization with increasing salinity in mangrove soils. The ANOVA analysis further showed significant effects of salinity on the accumulated NH4+-N (P<0.001, Table 2). However, the lower accumulated NH4+-N in the first 10 incubation days before its increase under 35‰ salinity compared to the other salinity treatments might imply a short-term inhibiting effect before enhancing NH4+-N release. Khoi et al. [47] also observed that adverse effects of salinity on N mineralization were short-lived, whereas the rate of N mineralization recovered in later stages. Further studies are needed to testify this effect in different wetland soils under different vegetation.
Generally, the effects of increasing salinity on N mineralization can be explained as follows. Firstly, under high salinity conditions, a shift in microbial population structure occurs [46]. Muhammad et al. [44] found higher proportions of fungal biomass in more saline soils compared with less saline soils. Therefore, the soil ammonification process can be enhanced as an effect of salinity on specific microbial function groups responsible for ammonification, which results in increased accumulated NH4+-N at higher salinities (Figure 1). Secondly, Na+ is an important and dominant seawater component. High electrical conductivity solutions, particularly those high in Na+, could rapidly alter the composition of exchange sites on clays, causing NH4+ adsorbed on to clay surfaces to be desorbed [46], leading to the increase in mineralized N. Thirdly, the inhibiting effects of salinity on N mineralization processes might be mitigated by high temperatures [29], because N mineralization was largely improved at higher temperatures (i.e., 30°C and 40°C, Figure 2). Meanwhile, the ANOVA analysis also showed a significant effect of temperature (larger than the salinity effect) on the accumulated NH4+-N (P<0.001, Table 2). Although no significantly interactive effect of temperature and salinity was observed, (P>0.05, Table 2), the significant interactive effect was displayed (P<0.001, Table 2) if incubation time was further took into account. This indicated that incubation time was also an important factor influencing the accumulated NH4+-N [4]. Therefore, long-term incubation experiments are required to better understand the soil N mineralization process.
Nitrogen mineralization models
It is well known that mineralization is a process in which soil organic compounds are decomposed by microorganisms into inorganic compounds. Moreover, microbial mineralization activity depends on enzyme kinetics, which follows a first-order dynamical model [48]. Models and their corresponding parameters are essential to mathematically describe soil N mineralization kinetics [49]. The first-order reaction kinetic model was firstly used by Stanford and Smith to simulate aerobic long-term mineralization dynamics [37], while other exponential models have been used for N mineralization in recent studies [6], [48], [50].In this study, the ideal parameters for both the effective accumulated temperature and one-pool models indicated that both models could simulate N mineralization in tidal freshwater wetlands at higher temperatures of 30 and 40°C (Figure 2). However, a better simulation was observed at 40°C for the temperature model, whereas a similar performance was obtained between the temperature and one-pool models at less than 40°C, which is consistent with results of previous studies [6], [38], [50].
The effective accumulated temperature model, which is regarded as the empirical formula derived from the first-order reaction kinetic model, explains the enzyme kinetics. In general, the mineralization constant (n) for the temperature model should be between 0 and 1 based on the theory of enzyme kinetics [33], [38]. Moreover, n decreased with increasing temperature, suggesting that mineralized N per effective accumulated temperature decreased with increasing effective accumulated temperature due to higher enzyme activity [38]. However, a higher n was observed for either lower or higher salinities in this study (Table 2). The k value reflects the mineral extent of mineralization [47]. Compared with lower temperature (20°C), the larger k values at higher temperature exhibited higher mineral extent of mineralization, indicating temperature is a vital factor of N mineralization. Bai et al. [33] and Li et al. [48] also demonstrated that the effective accumulated temperature model (temperature model) was a N mineralization model with temperature as the dominant factor. Bai et al. [33] also testified that a temperature model can efficiently simulate N mineralization in inland salt marshes. Therefore, the temperature model can be used to describe the N mineralization process when the temperature exhibits substantial effects on N mineralization.
For the one-pool model, k (day−1) is considered as the percentage of the remaining mineral N that is mineralized per day [37], which decreased with increasing salinity. In contrast, N0 generally increased with increasing salinity, implying that a higher N mineralization potential existed under higher salinity conditions. Additionally, the ratio of potential mineralized N (N0) to total N represents the active N fraction (ANF) in the SOM. The general increasing of ANF and decreasing of incubation time to mineralize half of N0 (t1/2) corresponded with increasing incubation temperature (Table 5), which again indicated that increasing temperature could substantially accelerate N mineralization. The time of t1/2 for all salinity treatments ranged from > 10 days to < 10 days from 20°C to 40°C, indicating a quick mineralization at higher temperatures. Meanwhile, smaller t1/2 reflected large value of the mineralization rate constant (k) (Table 5) and indicated that the small ANF of a soil was easily mineralized and readily used by microorganisms [38]. However, compared with other studies [38], [48], N0 and ANF were much smaller at 20°C and 30°C (Table 5). Although the incubation time was not as long (12 to 40 weeks) as in other studies [33], [49]–[51], all mineralization half times under all treatments were within a 48-d incubation period (Table 5). This time frame reflected the N mineralization process in the N-limiting tidal freshwater wetland soils. Furthermore, the rapid decrease in t1/2 from 30°C to 40°C was observed under 35‰ salinity than under other salinity treatments (Table 5), indicating that a higher salinity might contribute to an enhanced N mineralization. However, the short-term inhibiting effects of 35‰ salinity on the N mineralization rate might also occur at higher temperature of 40°C in the first 10 incubation days (Figures 1 and 2) due to lower enzyme activity [2] and higher N immobilization of microbes [2], [19].
Theoretically, N0 should be greater than the observed cumulative mineral N over the incubation period [48], [49] because N0 is defined as the entire pool of potentially mineralizable N. However, the potential mineralized N at 20°C and 40°C from the one-pool model were very close to or even smaller than the observed mineralized N (Table 4). Nevertheless, the one-pool model had a better fit to the observed data than the double first-order exponential model (two-pool model) [52], which was used to simulate the accumulated NH4+-N over the incubation period. Moreover, the two-pool model did not fit the observations well and contained large standard errors (data not shown) This finding contradicts the results of Li et al. [48], who concluded that a two-pool model was better for determining accumulated mineralizable N in paddy soils. However, Cordovil et al. [38] reported that the two-pool model had no advantage to fit the experimental data over one-pool model as it could not identify materials with different mineralization rate kinetics. Stanford and Smith [37] reported that the pool containing the compounds that contribute to the potentially mineralizable N was similar in most soils. Therefore, only one pool is often required [38].
Conclusions
NH4+-N release was significantly enhanced with increasing temperature and salinity over a 48-d incubation period. Moreover, accumulated NH4+-N was significantly higher under higher salinity than under lower salinity levels at higher temperatures. Except for the interaction of temperature and salinity, incubation time, temperature and salinity and their interactive effects exhibited significant effects on N mineralization; and temperature dominated the effects. Accumulated NH4+-N increased with increasing incubation time, which fit well with the simulation by both the effective accumulated temperature and one-pool models at temperatures up to 40°C. Although we do not compare N mineralization among different soil types overlaying vegetation in this study, our results indicated that NH4+-N release was increased in tidal freshwater wetland soils after the conversion to brackish wetlands due to sea-level rise, which might occur as a result of projected global warming. Therefore, the soil N mineralization response to increasing temperature and salinity in tidal freshwater wetlands should be integrated with studies on the structure and functions of coastal ecosystems in response to global warming and sea-level rise. Additionally, further investigation is needed to reveal the effects of salt anions (e.g. Cl−, SO42−) and on N mineralization in wetland soils. The combined study on N mineralization though lab and in situ incubation experiments should be focused on in the future.
Acknowledgments
The authors are grateful to the Editor and two anonymous reviewers for their valuable comments and suggestions. We also express our thanks to the college of Life Science and Engineering, Huanggang Normal University and Miss Lijuan Wang for their experimental assistance.
Author Contributions
Conceived and designed the experiments: HG JB. Performed the experiments: HG QL QZ JW. Analyzed the data: HG JB XH. Contributed reagents/materials/analysis tools: JB. Wrote the paper: HG JB XH. Revised for the final version: JB XH.
References
- 1. Downing JA, Mcclain M, Twilley R, Melack JM, Elser J, et al. (1999) The impact of accelerating land-use change on the N-Cycle of tropical aquatic ecosystems: Current conditions and projected changes. Biogeochemistry 46: 109–148.
- 2. Gao HF, Bai JH, Xiao R, Yan DH, Huang LB, et al. (2012) Soil net nitrogen mineralization in salt marshes with different flooding periods in the Yellow River Delta, China. CLEAN−Soil, Air, Water 40: 1111–1117.
- 3.
Reddy KR, DeLaune RD (2008) Biogeochemistry of Wetlands: Science and Applications. Boca Raton: CRC Press.
- 4.
Deng W, Bai JH, Li AN, Wang GX, Hu JM, et al.. (2012) Typical Wetland System Pattern Changes and Ecohydrological Processes: a Case Study of Huang-Huai-Hai Regions. Beijing: Science Press.
- 5.
Mitsch WJ, Gosselink JG (2007) Wetlands (Fourth Edition). Hoboken: John Wiley & Sons, Inc..
- 6. Bai JH, Gao HF, Xiao R, Wang JJ, Huang C (2012) A review of soil nitrogen mineralization as affected by water and salt in coastal wetlands: issues and methods. CLEAN−Soil, Air, Water 40: 1099–1105.
- 7. Zaman M, Saggar S, Blennerhassett JD, Singh J (2009) Effect of urease and nitrification inhibitors on N transformation, gaseous emissions of ammonia and nitrous oxide, pasture yield and N uptake in grazed pasture system. Soil Biol Biochem 41: 1270–1280.
- 8. Prusty BAK, Chandra R, Azeez PA (2009) Distribution of carbon, nitrogen, phosphorus, and sulfur in the soil in a multiple habitat system in India. Soil Res 47: 177–189.
- 9. Wang CH, Wan SQ, Xing XR, Zhang L, Han XG (2006) Temperature and soil moisture interactively affected soil net N mineralization in temperate grassland in Northern China. Soil Biol Biochem 38: 1101–1110.
- 10. Bagherzadeh A, Brumme R, Beese F (2008) Temperature dependence of nitrogen mineralization and microbial status in O-H horizon of a temperate forest ecosystem. J Forest Res 19: 37–43.
- 11. Koch O, Tscherko D, Kandeler E (2007) Temperature sensitivity of microbial respiration, nitrogen mineralization, and potential soil enzyme activities in organic alpine soils. Global Biogeochem Cycles 21: B4017.
- 12. Li S, Zhao K, Lu H (2013) Nitrogen mineralization characteristics of disturbed and undisturbed soil samples for four main soil types on the Loess Plateau. Commun Soil Sci Plant Anal 44: 1659–1673.
- 13. Chen YT, Borken W, Stange CF, Matzner E (2012) Dynamics of nitrogen and carbon mineralization in a fen soil following water table fluctuations. Wetlands 32: 579–587.
- 14. Ehrenfeld JG, Yu S (2012) Patterns of nitrogen mineralization in wetlands of the New Jersey pinelands along a shallow water table gradient. Am Midl Nat 167: 322–335.
- 15. Fujita Y, van Bodegom PM, Olde Venterink H, Runhaar H, Witte JM (2013) Towards a proper integration of hydrology in predicting soil nitrogen mineralization rates along natural moisture gradients. Soil Biol Biochem 58: 302–312.
- 16. Gao JQ, Ouyang H, Xu XL, Zhou CP, Zhang F (2009) Effects of temperature and water saturation on CO2 production and nitrogen mineralization in alpine wetland soils. Pedosphere 19: 71–77.
- 17. Noe G, Krauss K, Lockaby BG, Conner W, Hupp C (2013) The effect of increasing salinity and forest mortality on soil nitrogen and phosphorus mineralization in tidal freshwater forested wetlands. Biogeochemistry 114: 225–244.
- 18. Gilliam FS, Cook A, Lyter S (2010) Effects of experimental freezing on soil nitrogen (N) dynamics in soils of a net nitrification gradient in an N-saturated hardwood forest ecosystem. Can J For Res 40: 436–444.
- 19. Zhang X, Bai W, Gilliam FS, Wang Q, Han X, et al. (2011) Effects of in situ freezing on soil net nitrogen mineralization and net nitrification in fertilized grassland of northern China. Grass Forage Sci 66: 391–401.
- 20.
Solomon S, Qin D, Manning M, Chen Z, Marquis M, et al.. (2007) IPCC,2007: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, UK. And New York, USA.
- 21. Fang H, Liu G, Kearney M (2005) Georelational analysis of soil type, soil salt content, landform, and land use in the Yellow River Delta, China. Environ Manage 35: 72–83.
- 22. Chen R, Twilley RR (1999) Patterns of mangrove forest structure and soil nutrient dynamics along the Shark River estuary, Florida. Estuaries 22: 955–970.
- 23. Pathak H, Rao DL (1998) Carbon and nitrogen mineralization from added organic matter in saline and alkali soils. Soil Biol Biochem 30: 695–702.
- 24.
Whigham D, Baldwin A, Barendregt A (2009) Tidal freshwater wetlands. In: Perillo G, Wolanski E, Cahoon D, Brinson M, Coastal Wetlands: An Integrated Ecosystem Approach. Amsterdam, Elsevier. pp. 515–534.
- 25. Carlson AE, LeGrande AN, Oppo DW, Came RE, Schmidt GA, et al. (2008) Rapid early Holocene deglaciation of the Laurentide ice sheet. Nat Geosci 1: 620–624.
- 26. Craft C, Clough J, Ehman J, Joye S, Park R, et al. (2008) Forecasting the effects of accelerated sea-level rise on tidal marsh ecosystem services. Front Ecol Environ 7: 73–78.
- 27.
IUSS-ISRIC-FAO (2006) World reference base for soil resources-a framework for international classification, correlation and communication. Rome: FAO.
- 28. Bai JH, Gao HF, Deng W, Yang ZF, Cui BS, et al. (2010) Nitrification potential of marsh soils from two natural saline −alkaline wetlands. Biol Fertil Soils 46: 525–529.
- 29. Rysgaard S, Thastum P, Dalsgaard T, Christensen PB, Sloth NP (1999) Effects of salinity on NH4+ adsorption capacity, nitrification, and denitrification in Danish estuarine sediments. Estuaries 22: 21–30.
- 30. Lodhi A, Arshad M, Azam F, Sajjad MH (2009) Changes in mineral and mineralizable N of soil incubated at varying salinity, moisture and temperature regimes. Pak J Bot 41: 967–980.
- 31.
Pidwirny M (2006) Seawater. http://www.eoearth.org/article/Seawater
- 32. Waring SA, Bremner JM (1964) Production in soil under waterlogged conditions as an index of nitrogen availability. Nature 201: 951–952.
- 33. Bai JH, Ouyang H, Deng W, Wang QG, Chen H, et al. (2005) Nitrogen mineralization processes of soils from natural saline-alkalined wetlands, Xianghai National Nature Reserve, China. Can J Soil Sci 85: 359–367.
- 34. Haddad SA, Tabatabai MA, Loynachan TE (2013) Biochemical processes controlling soil nitrogen mineralization under waterlogged conditions. Soil Sci Soc Am J 77: 809–816.
- 35. Walkley A, Black IA (1934) An examination of the Degtjareff method for determining soil organic matter, and a proposed modification of the chromic acid titration method. Soil Science 37: 29–38.
- 36. Zhu ZL (1982) Nitrogen mineralization and prediction of nitrogen availability of Taihu region. Acta PedologSin 21: 29–36 (in Chinese with English abstract)..
- 37. Stanford G, Smith SJ (1972) Nitrogen mineralization potentials of soil. Soil Sci Soc Am J 36: 465–472.
- 38. Cordovil CMDS, Coutinho J, Goss M, Cabral F (2005) Potentially mineralizable nitrogen from organic materials applied to a sandy soil: fitting the one-pool exponential model. Soil Use Manage 21: 65–72.
- 39. Ma L-N, Lü X-T, Liu Y, Guo J-X, Zhang N-Y, et al. (2011) The effects of warming and nitrogen addition on soil nitrogen cycling in a temperate grassland, Northeastern China. PLoS ONE 6: e27645.
- 40. Zhang XL, Wang QB, Li LH, Han XG (2008) Seasonal variations in nitrogen mineralization under three land use types in a grassland landscape. Acta Oecol 34: 322–330.
- 41. Schimel JP, Bilbrough C, Welker JM (2004) Increased snow depth affects microbial activity and nitrogen mineralization in two Arctic tundra communities. Soil Biol Biochem 36: 217–227.
- 42. Grenon F, Bradley RL, Titus BD (2004) Temperature sensitivity of mineral N transformation rates, and heterotrophic nitrification: possible factors controlling the post-disturbance mineral N flush in forest floors. Soil Biol Biochem 36: 1465–1474.
- 43. Rietz DN, Haynes RJ (2003) Effects of irrigation-induced salinity and sodicity on soil microbial activity. Soil Biol Biochem 35: 845–854.
- 44. Muhammad S, Müller T, Joergensen R (2006) Decomposition of pea and maize straw in Pakistani soils along a gradient in salinity. Biol Fertil Soils 43: 93–101.
- 45. Tripathi S, Kumari S, Chakraborty A, Gupta A, Chakrabarti K, et al. (2006) Microbial biomass and its activities in salt-affected coastal soils. Biol Fertil Soils 42: 273–277.
- 46. Wong V, Dalal R, Greene R (2008) Salinity and sodicity effects on respiration and microbial biomass of soil. Biol Fertil Soils 44: 943–953.
- 47. Khoi CM, Guong VT, Merckx R (2006) Predicting the Release of Mineral Nitrogen from Hypersaline Pond Sediments Used for Brine Shrimp Artemia franciscana Production in the Mekong Delta. Aquaculture 257: 221–231.
- 48.
Li SX (2008) Soil and Plant Nitrogen in Dryland Areas of China(in Chinese). Beijing: Science Press. 83 p.
- 49. Dou ZX, Toth JD, Jabro JD, Fox RH, Fritton DD (1996) Soil nitrogen mineralization during laboratory incubation: Dynamics and model fitting. Soil Biol Biochem 28: 625–632.
- 50. Li HL, Han Y, Cai ZC (2003) Nitrogen mineralization in paddy soils of the Taihu Region of China under anaerobic conditions: dynamics and model fitting. Geoderma 115: 161–175.
- 51. Wang WJ, Smith CJ, Chen D (2003) Towards a standardised procedure for determining the potentially mineralisable nitrogen of soil. Biol Fertil Soils 37: 362–374.
- 52. Richter J, Nuske A, Habenicht W, Bauer J (1982) Optimized N-mineralization parameters of loess soils from incubation experiments. Plant Soil 68: 379–388.