Abstract
The importance of mangrove was widely reported. However, the potential risks of pollutants (e.g., Hg) accumulated in the mangroves are often ignored. Thus, the present study aimed to explore the distribution and risk of mercury (Hg) in the sediments of mangroves along South China Coast. Results showed that concentrations of total Hg ranged from 0.0815 to 0.6377 mg/kg, with an arithmetic mean value of 0.2503 mg/kg. The contamination index (Pi) showed mild pollution toxicity risks in NS, slight toxicity risks in DZG, QZ, SY, ND, GQ, TLG, and free pollutions in BMW, SJ, ZJK and BLHK. NS, DZG and SY scored the highest values of Igeo among the eleven mangrove regions studied, indicating moderate to heavy pollution inputs in these regions. As for the distribution of Hg in the sediments along tidal gradient, concentrations of Hg in the sediments sharply increased from seaward mudflat to landward mangrove, corresponding with the increases of TOC. In summary, the present data indicated that mangrove ecosystem is efficient in Hg reservoir. However, the potential ecological risks of Hg, especially in some mangrove regions easily affected by human activities, should be noted.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Avoid common mistakes on your manuscript.
Introduction
Mercury (Hg) is considered as one of the precedence-controlled pollutants due to its high toxicity (Haris et al. 2017; Jia et al. 2017). Hg can directly result in irreversible disease and serious damage in bodies (Ren et al. 2018), such as minamata disease, renal failure as well as nervous system disorder. Although Hg is generally not with high level in natural environment (Jagtap and Maher 2015), Hg has received increasing attention recently and are often found with high concentrations in farmland, rivers, lakes and estuaries due to the rapid development of urbanization and industrialization (Garcia-Ordiales et al. 2017; Men et al. 2018).
Mangroves are one of the most important intertidal estuarine ecosystems along the coastlines in tropical and sub-tropical regions (Luan et al. 2006; Correia and Guimarāes 2017; Islam et al. 2017), and have as high productivity, high restitution rate, high decomposition rate and high resistance in the world (Wang 2019). Significant ecological functions of mangroves, such as primary producer, coastal guard and bird habitat, were widely reported (Zhang et al. 2014; Machado et al. 2016). Previous studies have also indicated that mangrove ecosystem is an efficient purifier, since it can receive amounts of contaminants through particle sedimentation during tidal cycle (Tam and Wong 2000). However, the potential risks of pollutants accumulated in the mangroves are often ignored. It should be noted that the accumulation of Hg in mangrove ecosystem may also result in potential exposure risks through biotransformation and biological amplification (Guo et al. 2016; Carravieri et al. 2018; Long et al. 2018).
Mangrove sediments are crucial repositories for heavy metals due to rapid sedimentation, besides the chelation between organic matter and contaminants could accelerate the process of pollution fixation and burial (Harbison 1986; Wang et al. 2010; Jiang et al. 2018). Hg pollution in the sediments of mangroves were also widely reported (Ding et al. 2009; Qiu et al. 2011; Wu et al. 2011; Liang et al. 2013; Sun et al. 2017). The status of Hg pollution in mangroves may be varied significantly among different regions. Besides, mangroves often exhibit a special sequential community succession in the intertidal regions (Wang et al. 2019). Generally, relative higher organic matter was often observed in the landward stable mangrove community when compared to seaward pioneer mangroves (Tam and Wong 2000). It was hypothesized that total concentrations of Hg in sediments may also varied associating with the changes of mangrove zonation along tidal gradient.
The southeast coast, the main area of mangrove distribution in China, has witnessed the rapid development of China. As an important buffer between sea and land, mangroves are sensitive and affected by human activities and are subjected to multiple pollution sources (e.g., municipal wastes, framing and mariculture) (Analuddin et al. 2017). Unfortunately, comprehensive assessments of the status of Hg pollution in mangroves with a large spatial scale are still limited. Thus, in this study, eleven mangrove regions were selected to evaluate the status of Hg pollution in mangroves along South China Coast. In terms of the variation of Hg in different tidal positions, four typical mangrove reserves with complete succession zonation were also selected to explore spatial distribution of Hg along tidal gradient.
Therefore, the purposes of the study were (1) to identify the concentrations of Hg in the sediments of eleven mangrove regions along South China Coast; (2) to evaluate the risks of Hg pollutions in eleven mangrove regions along South China Coast; (3) to explore the distribution of Hg and its relations with soil properties along tidal gradient.
Materials and methods
Concentrations of Hg in the sediments of mangroves along South China Coast
During October 2016, eleven regions were selected for the evaluation of mercury pollution in mangroves along South China Coast (Fig. 1): (1) Dongzhai harbor mangrove nature reserve, Hainan province (DZG); (2) Bamen Bay mangrove wetland, Hainan Province (BMW); (3) Tielu harbor, Hainan province (TLG); (4) Sanya, Hainan province (SY); (5) Gaoqiao mangrove reserve, Zhanjiang, Guangdong province (GQ); (6) Beilun estuary, Guangxi province (BLHK); (7) Shijiao mangrove reserve, Guangxi province (SJ); (8) Zhangjiang estuary mangrove reserve, Fujian province (ZJK); (9) Quanzhou, Fujian province (QZ); (10) Ningde, Fujian Province (ND); (11) Nansha mangrove wetland, Guangzhou, Guangdong province (NS). Except ND and TLG, there were ten sampling sites (~30 m from the edge of landward mangrove) at each mangrove region. The areas of mangrove in ND and TLG are small, thus less sampling sites (five sampling sites) were conducted. The detailed geographic information of sampling sites in the eleven mangrove regions was shown in Fig. S1 (Supplementary data, Fig. S1).
Surface sediments (0–5 cm) were collected for Hg analysis, and there were four replications for each sampling site. All sediment samples were sealed in polyethylene bags stored frozen in foam boxes. The samples were transported immediately to the laboratory and frozen at −20 °C. The samples were frozen-dried, grinded and pass 0.5 mm sieve before analysis. The soil was digested using 3:1 (V/V) mixture of HNO3 and H2SO4 at 95 °C, and the concentrations of Hg in the digestions were determined using cold vapor atomic fluorescence spectroscopy (CVAFS). As for quality control, GBW07435 (reference materials), the blanks and blink duplicates were conducted to monitor the analytical quality. The mean value of the recovery rate in reference materials was 87.8%, and the relative differences were <10% for Hg in the duplicate samples.
Evaluation of Hg pollution status in the eleven mangroves along South China Coast
Two methods were employed to assess the status of Hg pollution. Single contamination index (Pi) is defined by the following equation: \(P_i \,=\, \frac{{C_i}}{{S_i}}\) (Davaulter and Rognerud. 2001), where Ci means measured values of Hg, Si means evaluation criterion of Hg. According to the first control standard of marine sediment quality in china (GB 18668-2002), SHg = 0.2 mg/kg. The Pi consequence can be described as follows: (1) Pi ≤ 1, free pollution, level I; (2) 1 < Pi ≤ 2, slight pollution, level II; (3) 2 < Pi ≤ 3, mild pollution, level III; (4) 3 < Pi ≤ 5, moderate pollution, level IV; (5) Pi > 5, heavy pollution, level V.
Geo-accumulation index (Igeo) is an important index to evaluate contamination degree of single substances in sediment (Li et al. 2018; Men et al. 2018; Song et al. 2018). The formula of Igeo is defined as follow: \(I_{\mathrm{geo}} \,-\, {\it{log}}_2\frac{{c_n}}{{1.5B_n}}\) (Pathak et al. 2015), where Cn is actually examined Hg in the sediments, 1.5 is coefficient used to minimize the variation of background values. Bn is geochemical background concentration of Hg. The evaluation criterion of Igeo values is divided into seven classes: (1) Igeo ≤ 0, practically uncontaminated; (2) 0 < Igeo ≤ 1, uncontaminated to moderately contaminated; (3) 1 < Igeo ≤ 2, moderately contaminated; (4) 2 < Igeo ≤ 3, moderately to heavily contaminated; (5) 3 < Igeo ≤ 4, heavily contaminated; (6) 4 < Igeo ≤ 5, heavily to extremely contaminated; (7) Igeo > 5, extremely contaminated.
Distribution of Hg in four selected mangrove regions along continuous intertidal gradient
Four mangrove natural reserves, namely DZG, GQ, SJ, and ZJK, were selected to investigate the distribution of Hg in the sediments along continuous intertidal gradient. The mangrove natural reserves in DZG, GQ, SJ, and ZJK are well protected, and exhibit obvious zonation along continuous tidal gradient from seaward to landward mangrove in the intertidal regions. Generally, pioneer mangroves are often found at the seaward front on the edge of mangrove forests, while typical Rhizophoraceous species always distributed in the middle and landward zones. On January 2017, the samples of sediments (0–5 cm) were collected. At each mangrove natural reserve, there were four tidal sampling sites (mudflat, seaward mangrove, medium mangrove, and landward mangrove), and in each tidal sampling site, four replications were conducted (Fig. 1). The measurements of Hg were measured as described above. Total organic carbon analyzer (TOC-L-CPH-SSM5000A) was used to determinate the contents of TOC in sediments.
Statistical analysis
Date of sediment Hg in each site were tested for their normality and variance with no transformation, and the data in each site were represented in mean ± standard deviation. The risks of Hg in the eleven mangrove regions were assessed basing on the individual statistical mean values, respectively. One-way ANOVA and least significant difference (LSD) test was used to indicate the differences of Hg/TOC among different tidal positions along tidal gradient (P < 0.05).
Results
Concentrations of Hg in surface sediments collected from the eleven mangrove regions
Concentrations of Hg in surface sediments collected from eleven mangrove regions were shown in Table 1 and Fig. 2. Results showed that concentrations of Hg in the sediments collected from eleven mangrove regions ranged from 0.0815 to 0.6377 mg/kg, with an arithmetic mean value of 0.2503 mg/kg. For all the eleven regions, the measured Hg were more or less higher than their respective background values. The average concentrations of Hg in the eleven studied regions was: NS (0.4800 mg/kg), DZG (0.3395 mg/kg), QZ (0.3048 mg/kg), SY (0.2667 mg/kg), ND (0.2574 mg/kg), GQ (0.2466 mg/kg), TLG (0.2236 mg/kg), BMW (0.1843 mg/kg), SJ (0.1686 mg/kg), ZJK (0.1566 mg/kg), BLHK (0.1248 mg/kg), respectively.
Evaluation of Hg pollution in the eleven mangroves along South China Coast
The assessment values of Pi and Igeo were shown in Table 2. The contamination index (Pi) showed mild pollution (2 < Pi < 3) in NS; slight pollutions (1 < Pi < 2) in DZG, QZ, SY, ND, GQ, TLG, and free pollutions (Pi < 1) in BMW, SJ, ZJK and BLHK. The data of geo-accumulation index (Igeo) indicated NS, DZG, and SY were moderately to heavily contaminated (2 < Igeo < 3), TLG, BMW, QZ, and ND were moderately contaminated (1 < Igeo < 2), and GQ, ZJK, SJ, and BLHK were uncontaminated to moderately contaminated (0 < Igeo < 1) or practically uncontaminated (Igeo < 0).
Distribution of Hg in the four selected mangrove reserves with complete mangrove zonation along tidal gradient
The trends of Hg and TOC in the sediments along tidal gradient from seaward mudflats to landward mangroves were shown in Fig. 3 and Fig. 4, respectively. For all the four natural reserves, concentrations of Hg in the sediments increased sharply form from seaward mudflats to landward mangroves. Increasing trends of soil TOC were also observed with the increase of tidal gradient. Moreover, the data of Fig. 5 clearly illustrated a significant positive relation between Hg and TOC (Y = 0.01693 × −0.022, r = 0.688, P < 0.01).
Discussion
The status of Hg contaminations in mangroves along South China Coast
The present data showed that the concentrations of Hg in the sediments of mangroves along South China Coast ranged from 0.0815 to 0.6377 mg/kg, approximately consisting with the previous reports (Ding et al. 2009; Vane et al. 2009; Liang et al. 2013; He et al. 2014). In terms of the comparisons of the present data and other mangroves around the world, the concentrations of Hg in mangroves along South China Coast were comparable or lower than those in India and Cuba (Haris and Aris 2013; Sarkar et al. 2008; Olivares-Rieumont et al. 2012; Looi et al. 2016; Dudani et al. 2017), but seemed to be higher than African mangroves (Table 1) (Bodin et al. 2013; Lewis and Russell 2015).
In this study, two methods were employed to assess the risk of Hg. The index of Pi mainly aimed to evaluate the toxicity risk of Hg based on absolute concentration of measured Hg, whereas NS scored the highest value, and the order of Pi in the eleven studied mangrove regions was: NS > DZG > QZ > SY > ND > GQ > TLG > BMW > SJ > ZJK > BLHK. The highest sediment Hg in NS may partly ascribed to its special location, the center of Greater Bay Area, where possessed the highest population and most developed industry and economy in South China. The assessment of Igeo mainly focused on the relations between measured Hg and background Hg, the potential biological toxicity was ignored. The data of Igeo showed that NS, DZG, and SY exhibited that highest values, indicating moderate to heavy pollution inputs in these regions, TLG, BMW, QZ, and ND were considered as moderately contaminated. Both the results of Pi and Igeo indicated that the status of Hg in mangroves along South China Coast may strongly correlated to human activities, such as the distance from city, population density and economic level. The regions (SJ and BLHK) where far away from city and with lower GDP, consistently exhibited relative lower absolute Hg content and less pollution inputs.
Distribution of Hg in the sediments of mangroves along tidal gradient
In the four selected typical mangrove reserves, higher Hg was observed in the sediments of mangroves when compared to mudflat. The present data coincided with the issue that mangroves are potential reservoirs of pollutants (e.g., heavy metals and organic contaminants). Developed root systems would slow the flow of water during tidal cycle, leading to a rapid particle sedimentation and pollutant deposition (Li et al. 2015; Atwood et al. 2017). Lacking of interception mangroves, mudflat therefore may be more difficult in particle deposition and Hg accumulation. Besides, the presence of mangrove plants could change the textures of sediments (Wang et al. 2013; Tu et al. 2015). Hg is harder absorbed by the sediments with high ratio of sandy particles. Generally, the presence of mangrove could directly promote the ratio of clay, leading to a higher efficiency in nutrient enrichment and pollutant accumulation (Wang et al. 2013; He et al. 2014; Chen et al. 2015).
Moreover, the present data clearly indicated an increasing trendy of sediment Hg in mangroves with the increases of tidal gradient. Developed mangroves often show an interesting zonation in the intertidal regions. Similar phenomena was also observed in the four selected studied mangrove reserves, with a continuous succession from seaward pioneer species (Avicennia marina or Aegiceras corniculatum) evolved to the transitional and landward Rhizophoraceae species (Kandelia obovata, Bruguiera gymnorrhiza and Rhizophora stylosa). Generally, higher community diversity and productivity were often found in the stable community with latter succession. As for mangrove succession and zonation in South China, Rhizophoraceae species are much higher and bigger than pioneer mangrove species. In this study, we also found that plant species diversity was much higher in the landward Rhizophoraceae community (data not shown). The higher concentrations of TOC in landward mangroves may partly ascribed to their relative higher productivity and litter decomposition (Li et al. 2016). It has been reported that sediments with high TOC contents often possess higher adsorption capacity of heavy metals (Contreras et al. 2018; Wu et al. 2018). Significantly positive correlation between TOC and Hg was also observed. Besides, most pollutants are land-base sources, driving from municipal waste, fishponds and farmlands surrounding mangroves (Tam and Wong 2000; Feng et al. 2017).
Recently, organic mercury (e.g., methyl mercury, MeHg) has aroused more and more attention due to its high toxicity and potential risk (Gilmour et al. 1992; Bjørklund et al. 2017; Crowe et al. 2017). The formation of MeHg was regulated by soil property, methylated genes and microorganisms (Gilmour et al. 1992; Andrić et al. 2016; Bjørklund et al. 2017; Crowe et al. 2017). Unfortunately, dynamics of MeHg were not detected in the present study, more detailed information focused on dynamics of Hg and the risk assessments of MeHg in mangroves should be further conducted.
Conclusion
Results showed that concentrations of Hg in the sediments collected from eleven mangrove regions ranged from 0.0815 to 0.6377 mg/kg, with an arithmetic mean value of 0.2503 mg/kg. NS scored the highest value of Pi, and the order of Pi in the eleven studied mangrove regions was: NS > DZG > QZ > SY > ND > GQ > TLG > BMW > SJ > ZJK > BLHK. The data of Igeo showed that NS, DZG, and SY exhibited that highest values, indicating moderate to heavy pollution inputs in these regions. As for the distribution of Hg in the sediments along tidal gradient, a significant positive relation was observed between sediment Hg and TOC, the total Hg in sediments sharply increased from seaward mudflats to landward mangroves, coinciding with the increases of sediment TOC. The present data indicated that mangroves are potential reservoirs of pollutants. However, ecological risks of Hg, especially in some mangrove regions with high human activities, should be taken into special consideration in future mangrove management.
References
Analuddin K, Sharma S, Jamili, Septiana A, Sahidin I, Rianse U, Nadaoka K (2017) Heavy metal bioaccumulation in mangrove ecosystem at the coral triangle ecoregion, Southeast Sulawesi, Indonesia. Mar Pollut Bull 125(1-2):472–480
Andrić F, Šegan S, Dramićanin A, Majstorović H, Milojković-Opsenica D (2016) Linear modeling of the soil-water partition coefficient normalized to organic carbon content by reversed-phase thin-layer chromatography. J Chromatogr A 1458:136–144
Atwood TB, Connolly RM, Almahasheer H, Carnell PE, Duarte CM, Lewis CJE, Irigoien X, Kelleway JJ, Lavery PS, Macreadie PI, Serrano O, Sanders CJ, Santos I, Steven ADL, Lovelock CE (2017) Global patterns in mangrove soil carbon stocks and losses. Nat Clim Change 7(7):523–528
Bjørklund G, Dadar M, Mutter J, Aaseth J (2017) The toxicology of mercury: current research and emerging trends. Environ Res 159:545–554
Bodin N, N’Gom-Kâ R, Kâ S, Thiaw OT, de Morais LT, Le Loćh F, Rozuel-Chartier E, Auger D, Chiffoleau JF (2013) Assessment of trace metal contamination in mangrove ecosystems from Senegal, West Africa. Chemosphere 90(2):150–157
Carravieri A, Fort J, Tarroux A, Cherel Y, Love OP, Prieur S, Brault-Favrou M, Bustamante P, Descamps S (2018) Mercury exposure and short-term consequences on physiology and reproduction in Antarctic petrels. Environ Pollut 237:824–831
Chen Q, Li J, Zhang LM, Lu HF, Ren H, Jian SG (2015) Changes in the macrobenthic faunal community during succession of a mangrove forest at Zhanjiang, South China. J Coast Res 31(2):315–325
Chowdhury R, Favas PJC, Jonathan MP, Venkatachalam P, Raja P, Sarkar SK (2017) Bioremoval of trace metals from rhizosediment by mangrove plants in Indian Sundarban Wetland. Mar Pollut Bull 124(2):1078–1088
Conrad SR, Santos IR, Brown DR, Sanders LM, van Santen ML, Sanders CJ (2017) Mangrove sediments reveal records of development during the previous century (Coffs Creek estuary, Australia). Mar Pollut Bull 122(1-2):441–445
Contreras S, Werne JP, Araneda A, Urrutia R, Conejero CA (2018) Organic matter geochemical signatures (TOC, TN, C/N ratio, δ 13C and δ 15N) of surface sediment from lakes distributed along a climatological gradient on the western side of the southern Andes. Sci Total Environ 630:878–888
Correia RRS, Guimarāes JRD (2017) Mercury methylation and sulfate reduction rates in mangrove sediments, Rio de Janeiro, Brazil: the role of different microorganism consortia. Chemosphere 167:438–443
Crowe W, Allsopp PJ, Watson GE, Magee PJ, Strain JJ, Armstrong DJ, Ball E, McSorley EM (2017) Mercury as an environmental stimulus in the development of autoimmunity–a systematic review. Autoimmun Rev 16(1):72–80
Davaulter V, Rognerud S (2001) Heavy metal pollution in sediments of the Pasvik River drainage. Chemosphere 42(1):9–18
Ding ZH, Liu JL, Li LQ, Lin HN, Wu H, Hu ZZ (2009) Distribution and speciation of mercury in surficial sediments from main mangrove wetlands in China. Mar Pollut Bull 58(9):1319–1325
Dudani SN, Lakhmapurkar J, Gavali D, Patel T (2017) Heavy metal accumulation in the mangrove ecosystem of South Gujarat Coast, India. Turk J Fish Aquat Sci 17(4):755–766
Feng JX, Zhu XS, Wu H, Ning CX, Lin GH (2017) Distribution and ecological risk assessment of heavy metals in surface sediments of a typical restored mangrove–aquaculture wetland in Shenzhen, China. Mar Pollut Bull 124(2):1033–1039
Fonseca EF, Baptista Neto JAB, Silva CG (2013) Heavy metal accumulation in mangrove sediments surrounding a large waste reservoir of a local metallurgical plant, Sepetiba Bay, SE, Brazil. Environ Earth Sci 70(2):643–650
Garcia-Ordiales E, Loredo J, Covelli S, Esbrí JM, Millán R, Higueras P (2017) Trace metal pollution in freshwater sediments of the world’s largest mercury mining district: sources, spatial distribution, and environmental implications. J Soil Sediment 17(7):1893–1904
Gilmour CC, Henry EA, Mitchell R (1992) Sulfate stimulation of mercury methylation in freshwater sediments. Environ Sci Technol 26:2281–2287
Guo J, Chen XY, Bao HXGDL, Li YX (2016) Photosynthetic and physiological responses of mangroves under an environmental deterioration. Acta Physiol Plant 38(6):140
Harbison P (1986) Mangrove muds-a sink and a source for trace metals. Mar Pollut Bull 17(6):246–250
Haris H, Aris AZ (2013) The geoaccumulation index and enrichment factor of mercury in mangrove sediment of Port Klang, Selangor, Malaysia. Arab. J Geosci 6(11):4119–4128
Haris H, Aris AZ, bin Mokhtar M (2017) Mercury and methylmercury distribution in the intertidal surface sediment of a heavily anthrophogenically impacted saltwater mangrove sediment interplay zone. Chemosphere 166:323–333
He B, Li RL, Chai MW, Qiu GY (2014) Threat of heavy metal contamination in eight mangrove plants from the Futian mangrove forest, China. Environ Geochem Health 36(3):467–476
Islam MA, Al-mamun A, Hossain F, Quraishi SB, Naher K, Khan R, Das S, Tamim U, Hossain SM, Nahid F (2017) Contamination and ecological risk assessment of trace elements in sediments of the rivers of Sundarban mangrove forest, Bangladesh. Mar Pollut Bull 124(1):356–366
Jagtap R, Maher W (2015) Measurement of mercury species in sediments and soils by HPLC -ICPMS. Microchem J 121:65–98
Jia Q, Zhu XM, Hao YQ, Yang ZL, Wang Q, Fu HH, Yu HJ (2017) Mercury in soil, vegetable and human hair in a typical mining area in China: implication for human exposure. J Environ Sci 68:73–82
Jiang ZG, Xu N, Liu BX, Zhou LZ, Wang J, Wang C, Dai BG, Xiong W (2018) Metal concentrations and risk assessment in water, sediment and economic fish species with various habitat preferences and trophic guilds from Lake Caizi, Southeast China. Ecotox Environ Safe 157:1–8
Lewis MA, Russell MJ (2015) Contaminant profiles for surface water, sediment, flora and fauna associated with the mangrove fringe along middle and lower eastern Tampa Bay. Mar Pollut Bull 95(1):273–282
Li HJ, Gao XL, Gu YB, Wang RR, Xie PF, Liang M, Ming HX, Su J (2018) Comprehensive large-scale investigation and assessment of trace metal in the coastal sediments of Bohai Sea. Mar Pollut Bull 129(1):126–134
Li RY, Li RL, Chai MW, Shen XX, Xu HL, Qiu GY (2015) Heavy metal contamination and ecological risk in Futian mangrove forest sediment in Shenzhen Bay, South China. Mar Pollut Bull 101(1):448–456
Li RL, Xu HL, Chai MW, Qiu GY (2016) Distribution and accumulation of mercury and copper in mangrove sediments in Shenzhen, the world’s most rapid urbanized city. Environ Monit Assess 188(2):87
Liang Y, Yuan DX, Chen YJ, Liu XY (2013) Vertical distribution of total mercury and methylmercury in sediment of the Fugong Mangrove Area at Jiulong River Estuary, Fujian, China. Water Environ Res 85(6):522–529
Long SX, Hamilton PB, Yang Y, Wang S, Huang WD, Chen C, Tao R (2018) Differential bioaccumulation of mercury by zooplankton taxa in a mercury-contaminated reservoir Guizhou China. Environ Pollut 239:147–160
Looi LJ, Aris AZ, Haris H, Yusoff FM, Hashim Z (2016) The levels of mercury, methylmercury and selenium and the selenium health benefit value in grey-eel catfish (Plotosus canius) and giant mudskipper (Periophthalmodon schlosseri) from the Strait of Malacca. Chemosphere 152:265–273
Luan TG, Yu Keith SH, Zhong Y, Zhou HW, Lan CY, Tam Nora FY (2006) Study of metabolites from the degradation of polycyclic aromatic hydrocarbons (PAHs) by bacterial consortium enriched from mangrove sediments. Chemosphere 65(11):2289–2296
Machado W, Sanders CJ, Santos IR, Sanders LM, Silva-Filho EV, Luiz-Silva W (2016) Mercury dilution by autochthonous organic matter in a fertilized mangrove wetland. Environ Pollut 213:30–35
Men C, Liu RM, Xu F, Wang QR, Guo LJ, Shen ZY (2018) Pollution characteristics, risk assessment, and source apportionment of heavy metals in road dust in Beijing, China. Sci Total Environ 612:138–147
Olivares-Rieumont S, Lima L, Rivero S, Graham DW, Alonso-Hernandez C, Bolańo Y (2012) Mercury Levels in Sediments and Mangrove Oysters, Crassostrea rizophorae, from the North Coast of Villa Clara, Cuba. Bull Environ Contam Toxicol 88(4):589–593
Pathak AK, Kumar R, Kumar P, Yadav S (2015) Sources apportionment and spatio-temporal changes in metal pollution in surface and sub-surface soils of a mixed type industrial area in India. J Geochem Explor 159:169–177
Qiu YW, Yu KF, Zhang G, Wang WX (2011) Accumulation and partitioning of seven trace metals in mangroves and sediment cores from three estuarine wetlands of Hainan Island, China. J Hazard Mater 190(1-3):631–638
Ren MY, Yang LY, Wang LF, Han XM, Dai JR, Pang XG (2018) Spatial trends and pollution assessment for mercury in the surface soils of the Nansi Lake catchment, China. Environ Sci Pollut Res 25(3):2417–2424
Rumisha C, Mdegela RH, Kochzius M, Leermakers M, Elskens M (2016) Trace metals in the giant tiger prawn Penaeus monodon and mangrove sediments of the Tanzania coast: is there a risk to marine fauna and public health? Ecotox Environ Safe 132:77–86
Sanders CJ, Santos IR, Silva-Filho EV, Patchineelam SR (2008) Contrasting mercury and manganese deposition in a mangrove-dominated estuary (Guaratuba Bay, Brazil). Geo-Mar Lett 28(4):239–244
Sarkar SK, Cabral H, Chatterjee M, Cardoso I, Bhattacharya AK, Satpathy KK, Alam MA (2008) Biomonitoring of heavy metals using the Bivalve Molluscs in Sunderban Mangrove Wetland, Northeast Coast of Bay of Bengal (India): possible risks to human health. Clean-Soil Air Water 36(2):187–194
Song HY, Hu KL, An Y, Chen C, Li GD (2018) Spatial distribution and source apportionment of the heavy metals in the agricultural soil in a regional scale. J Soil Sediment 18(3):852–862
Sun LM, Lu BY, Yuan DX, Hao WB, Zheng Y (2017) Variations in the isotopic composition of stable mercury isotopes in typical mangrove plants of the Jiulong estuary, SE China. Environ Sci Pollut Res 24(2):1459–1468
Tam NFY, Wong YS (2000) Spatial variation of heavy metals in surface sediments of Hong Kong mangrove swamps. Environ Pollut 110(2):195–205
Tu Q, Yang SY, Zhou QL, Yang J (2015) Sediment transport and carbon sequestration characteristics along mangrove fringed coasts. Acta Oceano Sin 34(2):21–26
Vane CH, Harrison I, Kim AW, Moss-Hayes V, Vickers BP, Hong K (2009) Organic and metal contamination in surface mangrove sediments of South China. Mar Pollut Bull 58(1):134–144
Wang M, Zhang JH, Tu ZG, Gao XQ, Wang WQ (2010) Maintenance of estuarine water quality by mangroves occurs during flood periods: a case study of a subtropical mangrove wetland. Mar Pollut Bull 60(11):2154–2160
Wang WQ, Li XF, Wang M (2019) Propagules dispersal determines mangrove zonation at intertidal and estuarine scales. Forests 10:245
Wang YT, Qiu Q, Xin GR, Yang ZY, Zheng J, Ye ZH, Li SS (2013) Heavy metal contamination in a vulnerable mangrove swamp in South China. Environ Monit Assess 185(7):5775–5787
Wang YS (2019) Molecular ecology of mangroves. The Science Publishing Company, Beijing, China
Wu H, Ding ZH, Liu Y, Liu JL, Yan HY, Pan JY, Li LQ, Lin HN, Lin GH, Lu HL (2011) Methylmercury and sulfate-reducing bacteria in mangrove sediments from Jiulong River Estuary, China. J Environ Sci 23(1):14–21
Wu W, Sheng HJ, Gu CG, Song Y, Willbold S, Qiao Y, Liu GX, Zhao W, Wang Y, Jiang X, Wang F (2018) Extraneous dissolved organic matter enhanced adsorption of dibutyl phthalate in soils: insights from kinetics and isotherms. Sci Total Environ 631–632:1495–1503
Zhang ZW, Xu XR, Sun YX, Yu S, Chen YS, Peng JX (2014) Heavy metal and organic contaminants in mangrove ecosystems of China: a review. Environ Sci Pollut Res 21(20):11938–11950
Acknowledgements
This research was supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (No. XDA23050200, No. XDA13010500 and No. XDA13020503), the National Natural Science Foundation of China (No. 41676086, No.U1901211, No.41876126 and No.41430966), Science and Technology Basic Resources Investigation Program of China (No. 2017FY100707), Natural Science Foundation of Guangdong province (No. 2014A030313783), Science and Technology Project of Guangdong province (No.2016A020222011), Guangdong special branch plans young talent with scientific and technological innovation (No.2016TQ03Z985), Guangzhou Science and Technology Project (No.20171001013) and the International Partnership Program of Chinese Academy of Sciences (No. 133244KYSB20180012), and Guizhou Education Department Young Scientific Talents Promoting Program (No.KY2016160). The authors show thanks to Yingxin Sun and Renjiang Chen for experimental supports and data collection.
Author information
Authors and Affiliations
Corresponding authors
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Ethical approval
All the related authors confirmed there were no conflict of ethical approval.
Informed consent
All the related authors have known the informed consent.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Rights and permissions
About this article
Cite this article
Ma, RF., Cheng, H., Inyang, A. et al. Distribution and risk of mercury in the sediments of mangroves along South China Coast. Ecotoxicology 29, 641–649 (2020). https://doi.org/10.1007/s10646-020-02238-9
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10646-020-02238-9