1. Introduction
Mercury is considered to be a global pollutant [
1]. Mercury entering the atmosphere can remain for between 0.5 and 2 a [
2]. It may also accumulate to form atmospheric mercury reservoirs, be transmitted over long-distances through the atmosphere, and then sink in remote areas [
3,
4]. Mercury has become one of the most toxic heavy metals in the Earth’s environment [
5]. The Minamata disease incident in the 1950s revealed mercury accumulation along the food chain and the process and mechanism of its toxic effects on humans and animals [
6], thereby opening a prelude to today’s research on the health risks of mercury pollution. At the present time, the academic community is committed to establishing a global mercury cycle mass balance model [
7]. Although the biogeochemical processes of mercury and methylmercury in aquatic ecosystems are now clearly understood, the research regarding the ecological environmental behavior of mercury in terrestrial ecosystems is currently in still advancing [
8].
During the past several decades, academic circles have continuously deepened their understanding of the sources and sinks of atmospheric mercury [
7,
9]. For example, the atmospheric mercury consumption phenomena observed in the polar and sub-polar regions have indicated that gaseous element mercury (GEM) can be easily removed from the atmosphere through the oxidation induced by reactive halogens, resulting in 300 Mg·yr
−1 atmospheric mercury sinks in the Arctic region [
10,
11]. Meanwhile, similar phenomena have been found to occur to lesser extents at mid-latitude oceanic interfaces [
12]. The oxidation of GEM by ozone, active halogens, and hydroxyl radicals has also been observed in the free troposphere [
13,
14,
15]. These findings have indicated that the residence time of GEM in the atmosphere may be shortened under certain environmental conditions [
7], thereby sinking from the atmosphere to the land and sea. The dry subsidence rate (Vd) of GEM is mainly affected by such factors as surface characteristics, meteorological factors, soil, and water biochemical conditions. However, the Vd of bare soil and water surfaces is usually very small (less than 0.03 cm·s
−1) and lower than the emission and re-emission of GEM from those surfaces [
16]. Therefore, soil and water bodies are considered to be the net sources of atmospheric mercury [
17]. In contrast, a large amount of dry deposition of GEM often occurs on vegetation-covered surfaces and wetlands and is often as high as 2 cm·s
−1 [
16]. Therefore, it has also been indicated that areas covered by vegetation may be important net sinks of atmospheric mercury.
Obrist [
18] previously proposed that plants play a role in enriching atmospheric mercury and estimated that the annual absorption of atmospheric mercury global by vegetation may be as high as approximately 1024.2 t. Among the various vegetation types, the absorption of forest vegetation is estimated at 376.2 t, and the absorption of grassland vegetation is estimated at 648 t. Wang et al. [
19] also estimated that the current global terrestrial ecosystem is a net mercury sink of approximately 8.5 Mg·yr
−1. In recent years, seasonal field studies on GEM fluxes in forests, grasslands, and the tundra have also shown that those terrestrial ecosystems form a large number of annual net sinks of GEM in the atmosphere (2 to 20 μg·m
−2·yr
−1) [
20,
21,
22]. At the present time, it is widely believed that in the mercury input of vegetation ecosystems, the absorption of atmospheric mercury by plant leaves is more dominant than that of dry and wet deposition [
23,
24]. GEM can enter plant leaves through stomata. However, due to its mild lipophilic properties, mercury may also enter plant leaves through the epidermis under certain conditions [
25]. Many factors can affect the absorption processes of atmospheric mercury by plants. For example, as the plant tissue ages, the absorption through the epidermis decreases. Therefore, due to the nature of epidermal changes, the epidermal absorption sites become saturated over time [
26]. Similarly, the exchanges of plant bodies at the epidermal level are also more sensitive to environmental factors. As a result, temperature, moisture, and light conditions can all potentially affect the mercury exchange fluxes between plants and the atmosphere by affecting stomatal conductance [
27,
28]. For example, it has been observed that during the years with low precipitation and high temperature levels, the concentration levels of mercury in the litter of the broad-leaved and coniferous forests of Huntington Forest tended to be low. This may be caused by the closure of stomata and the decreases in water vapor pressure [
29]. In the month of June, the net precipitation in the Huntington Forest and the total mercury flux in the soil runoff were both at high levels [
30]. However, in the artificially warmed and humidified permafrost soil on the Qinghai-Tibet Plateau of China [
31], as well as that of Michigan and Minnesota in the United States, high Hg
0 release levels have been observed. Furthermore, similar observations have been made in artificially warmed peatland soil [
32], forested soil with canopies opened after logging activities [
33,
34], and forested areas following wildfires [
35].
Although the global vegetation as a whole acts a net sink of atmospheric mercury, recent studies have found that under certain conditions, vegetation may also be a source of atmospheric mercury. For example, the examination of two subtropical coniferous forests in southern China [
36,
37] and a mature hardwood forest in Tennessee, United States [
38], based on their annual flux calculations, showed that they were also net sources of GEM. Similarly, tree canopies and grasslands undergoing senescence or drought stress conditions have been observed to intermittently behave as GEM sources [
39,
40]. In the New England region (US), various types of reed vegetation that thrive in the freshwater environments of the coastlines were found to emit large amounts of mercury in their sediment during the summer seasons [
41]. The aquatic vascular plants of the Florida Everglades have been confirmed to both absorb and release large amounts of atmospheric mercury. In addition, part of the release pulse has been found to be consistent with CH
4, which may originate from the fibrous rhizosphere pool [
42].
Recent studies regarding mercury fluxes of cattails and sawgrass [
43,
44] found that the daily release fluxes of those two types of plants were an order of magnitude higher than those of the lower water surfaces. The mercury flux measurements of marsh plants have revealed that in moderate mercury polluted wetlands [
45] and primitive wetlands [
46], the daily GEM flux was bidirectional. In other words, characterized by both deposition and release.
However, in the current research regarding the balance between atmospheric mercury reservoirs and the global mercury biogeochemical cycle, less attention has been paid to the mercury exchange processes between the surface vegetation and the atmosphere. The relevant research was observed to mainly focus on forest ecosystems, with the aspects of grassland vegetation and atmospheric mercury fluxes investigated in only a few reports to date. However, due to the differences in mercury absorption sites, as well as the different life histories and growth rhythms between grassland plants and forest plants, there are also obvious differences in the characteristics of mercury exchange fluxes between the two ecosystems and the atmosphere. Therefore, such factors should be studied and characterized separately. For example, the aforementioned two types of plants are characterized by different organs that absorb atmospheric mercury. Obrist [
18] summarized the mercury pools of terrestrial vegetation and found that mercury concentrations could be detected in the leaves and branches of trees. Meanwhile, in regard to the mercury concentrations between grassland plants and the atmosphere, the exchanges almost entirely involved the leaves. In addition, the litter states of the two types of plants were different. For example, the leaves of tree canopies absorb atmospheric mercury during the growth period, and the litter formed becomes an important part of the atmospheric mercury dry deposition processes [
47]. However, when grassland plants wither, the entire above-ground parts often form dead plant bodies and all return to the soil [
48]. In addition, in terms of human factors, forest ecosystems are mainly affected by logging activities [
49], while the grassland ecosystems tend to be mainly affected by grazing. Therefore, the impacts of human mowing and farming activities may have different influential effects. In order to clarify the process of mercury cycling in grassland ecosystems, in-depth research will be required from the following aspects: 1. Attention should be paid to the effects of grassland vegetation as a sink of atmospheric mercury on the reductions in regional atmospheric mercury concentration levels and 2. The effects of changes in the types of land usage and community succession on mercury fluxes in grassland vegetation and the atmosphere.
Grasslands are one of the main types of ecosystems in the world. Broadly speaking, grasslands include all types of herbaceous vegetation. The four main types of grassland belts in the world are the Steppe grasslands, Prairie grasslands, Pampas grasslands, Savana grasslands. According to the current definition, the global grassland area measures 5.25 × 10
7 km
2, which accounts for 40.5% of the total land area on Earth [
50]. The experimental focus of this study was located in the center of China’s Songnen Grassland region. The Songnen Grassland region is situated on the eastern edge of the steppe vegetation continuous belt of Eurasia. The region is characterized by a mid-temperate continental semi-humid and semi-arid climate, with an area of 1.7 × 10
5 km
2. The vegetation type is mainly
Leymus chinensis (Dian) [
5]. This study’s experimental subjects included
Leymus chinensis (Trinius ex Bunge) Tzvelev and
Setaria viridis (Linnaeus) P. Beauvois. It has been determined that
L. chinensis is a constructive species in the study area. It was found to be widely distributed in the study area and had a strong representativeness. In addition,
Setaria chinensis is also a common species in the study area and was previously used as a typical experimental plant in the existing research regarding carbon and nitrogen fluxes of the aforementioned ecosystem. Therefore, due to its widely reported findings [
51], this study considered that it would be an appropriate representative of the weed varieties in the focus area. This study collected data regarding the plant and atmospheric mercury fluxes and related environmental factors in the field. The goals of this study were as follows: (1) To determine the atmospheric mercury concentration levels in the
L. chinensis meadow area of the Songnen Grassland region; (2) To analyze and understand the typical and common plants and atmospheric conditions of the
L. chinensis grasslands, including the characteristics of the day and night changes in the mercury exchange flux and clarification of its influential factors; and (3) To discuss the dynamics of vegetation as a mercury reservoir between the sources and sinks during different growth periods and atmospheric conditions.
2. Materials and Methods
2.1. Overview of the Study Area
This study’s experimental site was located in Changling County of western Jilin Province, China (
Figure 1), in which the Northeast Normal University Songnen Grassland Ecological Research Station is situated (44°45′ N, 123°45′ E). The regional climate type is a semi-arid temperate continental climate, with average annual rainfall levels lower than the evaporation levels. Due to long-term human disturbances (for example, overgrazing and reclamation) and changes in natural factors, the grasslands of the research site were in the process of community retrograde succession, which was characterized by soil bulk density and pH increases and moisture and organic matter decreases. The dominant population of
L. chinensis was observed to exhibit a decreasing trend. Therefore, the dominance of the dominant population of
L. chinensis was essentially in decline. However, the relative coverage of the halophyte population was observed to be significantly increased. Three types of communities with different degrees of degradation were formed in the region as follows: Pure
L. chinensis communities;
L. chinensis plus weeds communities; and weed grass communities.
The region in which the study area was located has the characteristics of a semi-arid temperate continental climate. The winter seasons are cold and long, with little snowfall, summer seasons are warm and rainy, and springtime features windy and dry conditions. The extreme minimum temperature is −40.3 °C, and the extreme maximum temperature is 38.9 °C. The annual average temperatures range between 1.5 and 4.2 °C. The sunshine duration averages approximately 2880 h. The annual average windy days generally exceed 100 days, and the annual average wind speed is approximately 5.7 m/s. The average annual rainfall is 430 mm, with the majority of the rainfall concentrated from June to September. The precipitation during those months can reach 60 to 80% of the annual rainfall. The average annual evaporation is approximately 1600 mm, which is three to four times that of the rainfall.
The terrain in the study area was observed to be flat and low, and the soil structure was intricately inlaid. This study found that the region was dominated by chernozem, alkaline, meadow, and aeolian sandy type soil. The remainder was determined to be saline and swamp soil. The groundwater resources were observed to be highly mineralized. Since the terrain was low, the drainage was not smooth. Therefore, it was considered that the area was semi-arid, with the evaporation rate greater than the precipitation. Due to the aforementioned factors, the salt could not be smoothly discharged and collected in the soil. At the same time, the long-term agricultural grazing behaviors have affected the soil structures of the vegetation in the area, resulting in serious destruction. Therefore, the soil salinization in the Songnen Grassland area is becoming increasingly more serious and the affected areas are expanding. The pH values of the soil in the study area in this research investigation were determined to range between 7.5 and 10.5.
The type of grassland examined in this study was meadow grassland. The area of that type of grassland measured 1.2 × 106 hm2, which is 55.8% of the total area of the Songnen Grassland region. Meadow grass is the main grassland type of Songnen Grasslands. Among the types of meadow grass, L. chinensis + forb has been determined to be the largest community type, reaching 8.4 × 105 hm2, accounting for 70.3% of this type of grassland. The plant compositions of meadow grasslands are mainly xerophytic perennial rhizome grasses and clump grasses, among which there are a variety of plant species. The dominant and most common species include L. chinensis (Trinius ex Bunge) Tzvelev; Filifolium sibiricum (Linnaeus) Kitamura; Chloris virgata Swartz; Setaria viridis (Linnaeus) P. Beauvois, and so on.
Among the aforementioned species, L. chinensis and S. viridis were the experimental subjects selected for the current investigation.
Leymus of the Gramineae family is a perennial C3-positive plant with high vegetative reproduction and low seed yield. It is characterized by a fast growth rate; high drought resistance; cold resistance; and alkali resistance. The plants of this species generally grow between 40 and 90 cm in height, with 4 to 5 internodes. The leaves range between 7 and 18 cm in length and 3 to 6 mm in width. The leaves are flat or involute, rough on the top and edges, and smooth on the bottom. On the Songnen Plain, this variety begins to sprout and turn green in early April; heading occurs in late May; flowering in June; and fruiting in July and August. As the top community, its coverage on the Songnen Grassland region may reach 65%. L. chinensis reproduces mainly by asexual reproduction that relies on adventitious buds. In the case of asexual reproduction, it has been found that plants tend to more sensitive to environmental factors.
Setaria of the Gramineae family is characterized by a high protein content. It has been found to adapt well to complex environmental conditions, with high resistance to cold, heat, pests, and diseases. The Stetaria variety tends to grow quickly and displays strong reproductive abilities. The culms are upright or geniculate at the base, ranging between 10 and 100 cm in height. It has been observed to have flat blades and long acuminate or acuminate apexes with obtusely rounded bases, which are almost truncated or narrow (4 to 30 cm long; 2 to 18 mm wide). The plants are usually glabrous or covered with sparse wart-like hairs with rough edges. The flowering and fruit periods range from May to October. Generally speaking, Stetaria has low requirements for soil conditions and can easily compete with other species.
2.2. Research Methods
2.2.1. Sample Plot Layout
The experimental sample plot in the study area was located in the Beidianzi Grasslands (
Figure 2), which is a low-lying area of the Songnen Grassland region. The study area was determined to be composed of flat land, swamp areas, water surfaces, and sand dunes. It was observed to have a microwave-like flat terrain. A flat and vast meadow grassland was located between the dunes. It was determined that the vegetation type had the characteristics of a meadow grassland, and the vegetation division belonged to the category of a forest grassland area. In addition, the agriculture belonged to that of an interlaced zone of agriculture and animal husbandry. The zonal vegetation was found to be mainly the
L. chinensis community.
This study’s sample point layout is detailed in
Figure 2. A 50 m × 50 m sample plot was randomly selected in the study area. The sample plot was divided into one hundred 5 m × 5 m plots using a grid method. Then, a random vegetation survey was carried out in the sample plots. The surveyed sample plots were first divided into three groups according to the community type as follows:
L. chinensis community (
L. chinensis coverage > 80%);
L. chinensis (40% <
L. chinensis coverage < 60%) + weeds (40% < miscellaneous grass coverage < 60%) community; weeds community (weed coverage > 80%). In the
L. chinensis + weed community, one of the samples was selected for this study’s subsequent experiments using a simple random sampling method. In addition, one of the
L. chinensis and
S. sylvestris plants in the sample was randomly selected for this study’s in-situ experiments.
The field experiments and sampling completed in 2019 were divided into two periods: as follows: 1. Vegetative reproduction period (June and July); and 2. Reproduction period (August) [
52,
53]. A total of six data collection processes were carried out. The plant samples were subjected to three measurements of mercury flux under different growth period conditions. Each measurement duration was a continuous 24-h period, and the required field positioning experimental time was 144 h. Previous research has indicated that foliar mercury (Hg) flux is bi-directional, with influence from both atmospheric and soil Hg.
2.2.2. Sampling and Measurement Methods
Sampling Method
Within the study plots, the selected soil was covered by a flux bag under the plant. A drill was used to sample 0 to 2.5 cm of surface soil. The samples were immediately bagged and labeled and then transported to this study’s laboratory facilities. The samples were air dried for seven days and then filtered using an 80-mesh nylon sieve. Following the in-situ experiments, the above-ground parts of the samples were harvested and taken back to the laboratory for weighing (dry weight) and the measurements of plant height. The Blackman Formula was used to calculate the relative growth rates of the two plants. The formula was as follows:
In the formula, Wi represents the dry weight at Ti; Wi+1 indicates the dry weight at Ti+1; and the formula represents the relative growth rates of the plants from Ti to Ti+1.
Testing Methods
In the current study, a Lumex RA-915
+ mercury analyzer (originating from Russia; detection limit of air samples: 2 ng/m
3) combined with a flux bag method was used to determine the mercury exchange fluxes between the plants of the study area and the surrounding air. A Tedlar dynamic flux bag (length × width = 600 mm × 450 mm; minimum volume 20 L) was selected as the flux bag. Tedlar dynamic flux bags are often used in atmospheric mercury exchange research due to their high durability, flexibility, and radiant transparency in the photosynthesis spectrum [
45,
54,
55]. The aforementioned mercury analyzer was equipped with a built-in air pump. During the sampling processes, the air entered the flux bags via air inlets and then flowed out through air outlets under the action of an air pump in order to form a gas flow. The gas flow rate was determined as the minimum flow rate when the mercury concentration differences between the inlet and outlet were stable [
56]. The differences between the mercury concentrations at the inlets and outlets of the empty bags were measured and compared in order to determine the blank.
During the measurement process, the flux bags were used to cover the outsides of the plant bodies and were sealed at the lowest end. The air inlets of the flux bags were connected to the air outlet of the RA-915
+ mercury analyzer. Monitoring was conducted once every 10 s, with 30 data points recorded every 5 min. The average values were then calculated and recorded as C
in. The unit was ng/m
3. After 5 min, the flux was changed to the outlets of the bags, which were connected to the inlet of the RA-915
+ mercury analyzer. The gaseous mercury concentrations in the outlet gas were monitored every 10 s, with 30 data points recorded every 5 min. The average value was calculated and recorded as C
out in ng/m
3. Alternating data measurements were continuously collected over a 24-h period. A modified standard flux box equation was used for the flux bags in order to calculate the leaf surface exchange flux. The calculation formula was as follows:
In the formula, F represents the calculated mercury exchange flux per unit of leaf surface from the atmosphere to the plant (ng/(m2·h); Cin is the gaseous mercury concentration in the air at the inlet of the flux bag (ng/m3); Cout indicates the concentration of gaseous mercury in the air at the outlet of the flux bag (ng/m3); Q denotes the gas flow rate through the flux bag (m3/h); and A is the total leaf area of plants in the flux bag (m2).
In order to reduce the chance of error, the differences between the average value of two consecutive Cout measurements and the average value of four Cin (before and after) were taken. Therefore, if the calculated flux value was positive, the mercury exchange process indicated that the plants had released mercury into the atmosphere. However, if the flux value was negative, the mercury exchange process indicated that the plants had absorbed mercury from the atmosphere.
This study utilized a LUMEX RA-915+ coupled with a UMA (solid–liquid mercury analysis unit; detection limit: 1 ng/kg) mercury analyzer for the purpose of determining the concentration levels of soil mercury. The detection range was between 0.5 mkg/kg and 0.5 mg/kg. The measurement time for one sample was between 50 and 70 s. The sample sizes ranged from 10 to 300 mg, and the standard deviation of the baseline signal measurement value was 2 ng/m3. Each soil sample was subjected to three parallel tests, and the data were recorded.
A leaf area meter was used to measure the leaf areas of the samples in the field. In addition, a portable weather monitor (ZX-SCQ4, Beijing, China) was used to record the hourly solar radiation, air temperature, air humidity, soil temperature, humidity, and other data.
2.2.3. Data Analysis Method
SPSS Statistics 23 (Armonk, NY, USA) was used for the data analysis, and Origin Pro 8 (OriginLab, Guangzhou, China) was used for the graphing processes in this study. The Pearson correlation coefficient was used to statistically test the correlations between relevant environmental factors and the plant/atmospheric mercury fluxes. In addition, a path analysis method [
57] was used to examine the importance levels of the various environmental factors.