Mercury (Hg) is a priority pollutant due to its persistence, bioaccumulation and toxicity in the environment (Clarkson and Magos 2006). It may occur either naturally or as a result of anthropogenic activity. Globally, the major source of Hg to freshwater systems is atmospheric deposition from natural and anthropogenic sources (Swain et al. 1992; Morel et al. 1998), although discharges from industry, mining activities, and watershed runoff may increase regional loadings (Gill and Bruland 1990). In the environment, Hg deposited in sediments is converted into methylmercury (MeHg) by biomethylation of the inorganic form, and this species is bioaccumulated and biomagnified in food chains (WHO 1989; Morel et al. 1998; Ullrich et al. 2001), where, for example, fish might have more than 90% of their T-Hg content as MeHg (Lacerda et al. 1994; Morel et al. 1998). The presence of organic Hg in fish not only results in deleterious effects to themselves (Basu et al. 2007; Sandheinrich and Miller 2006), but also constitutes the major source of human exposure through fish consumption (Kehrig et al. 1998; WHO 1990).

Despite the fact that there is enough international awareness regarding Hg contamination, especially after the Minamata disaster, in regions such as Latin America, Southeast Asia, and sub-Saharan Africa, environmental pollution by this metal is a growing problem due to the expansion of artisanal gold mining during the past three decades (Appleton et al. 2001). This has been widely documented in the Amazon River basin (Lodenius and Malm 1998), but few works have been undertaken in other tropical zones where the use and discharges of the metal are massive and there exists less information on the ecology and natural history of species. A particular case is the north of Colombia, where the Magdalena and Cauca rivers form a vast complex of marshes rich in biodiversity but threatened by extensive artisanal gold-mining activities.

In Colombia, gold mining is the major contributor to Hg pollution (Olivero et al. 2004; Olivero and Johnson 2002; Olivero and Solano 1998). Artisanal gold mining occurs on a relatively large scale mainly in the south of Bolivar and northeast of Antioquia mining areas, where it has been estimated that ∼50,000 people are involved in these activities using Hg amalgamation (Olivero et al. 2002), and because of the lack of technologies to reduce Hg emissions and discharges, the metal is easily deposited in the sediments of nearby marshes, where Hg distribution in different compartments depends on factors such as sediment input (Kongchum et al. 2006), habitat type (Heim et al. 2007), and the presence of specific microenvironments that facilitate Hg methylation (Guimarães et al. 2000), among others.

Among the most important freshwater resources in Colombia is the Grande Marsh in the municipality of Montecristo, south of Bolívar. This ecosystem is strategic because it controls flooding events and regulates water currents from rivers, and it has diverse wildlife species, most of them pivotal for survival of nearby communities. Unfortunately, this body of water receives gold-mining residues from the Caribona River, where extensive gold mining is taking place. In its watershed, gold is recovered mostly from alluvial deposits and to a minor extent from underground mines. Dredge work is the method used to extract sedimentary deposits from the watercourse. These materials are subjected to particle size selection and sometimes to gravity concentration and then treated with elemental Hg for gold amalgamation. The gold-rich amalgam is then burned in open air to obtain the precious metal, without proper equipment to recover the Hg. This generally occurs along riverbanks, and Hg reaches the watercourse and the atmosphere during the amalgamation and the burning process, respectively. Similar gold-mining methods have also been described for the Brazilian Amazon (Kligerman et al. 2001).

The main objective of this paper is to describe Hg levels for different environmental matrices in this ecosystem and to evaluate changes in Hg distribution along different sampling sites and seasons, assessing environmental and human exposure to Hg.

Materials and Methods

Study Area

The Grande marsh is located in northwest Colombia (8°16’–8°22’N and 74°26’–74°32’W), covering an area of approximately 38 km2 (Fig. 1). It is located 30 m above sea level and within the largest gold production area in the country (southern Bolivar and northeastern Antioquia). The mean annual precipitation and temperature are 2350 mm and 27°C, respectively. The marsh is part of the Cauca River basin and receives waters from the Caribona River and the Dorada creek. The maximum water level occurs from July to November, and the lowest level in March, with changes that reach up to 3.3 m. The dry season goes from January to April, and the rainy season from May to December, with maximum and minimum water levels between July and November, and between December and March, respectively.

Fig. 1
figure 1

Location of sampling sites in Grande Marsh, Mojana region, Colombia

Sample Collection and Treatment

Environmental matrices and collection dates are presented in Table 1. Composite water samples (2 L per station) were collected with a polycarbonate Van Dorm bottle at three depths (bottom, middle, and 30 cm below the surface of the water) and then poured into clean, acid-washed polyethylene (HDPE) containers. Samples were acidified with HNO3 to pH < 2 and kept refrigerated until analysis within 1 week after collection.

Table 1 Sampling stations and environmental matrices collected at different sampling campaigns (SCs) at Grande Marsh

Sediment samples were obtained by lowering a Van Veen grab from a boat. At each station four subsamples were collected at all cardinal points within a 3-m radius from the reference point. Samples were placed in plastic bags, labeled and packed in ice, transported to the lab, and dried at 40°C in a drying oven.

Phytoplankton and zooplankton samples were collected using 10-cm-diameter, 64- and 150-μm-mesh plankton nets, respectively (Watras et al. 1998). Samples were rinsed with marsh water and drained directly from the cod-end bucket into 1-L plastic bottles, double bagged, and transported on ice to the lab. Upon arrival, samples were centrifuged at 2000 g and the pellets dried at room temperature in a desiccator until a constant weight was achieved (Ullrich et al. 2007). Composite seston samples were taken as previously described for water. Samples were vacuum-filtered through 0.45-μm-mesh cellulose acetate membranes. All micro-organisms and particles retained on the membrane surface are designated here as seston (Morrison and Watras 1999; Caetano and Vale 2003), and they were dried at room temperature prior to analysis.

Local fishermen gathered fish during fishing campaigns. Selected species were those considered the most economically important, and all of them could be stratified into two different categories based on food habits: carnivorous and noncarnivorous. After length was measured, fish were eviscerated by removing all internal organs, placed individually in plastic bags, labeled, and transported on ice to the lab. Samples for analysis were obtained from dorsal muscle dissected with a plastic knife (Olivero et al. 1998).

Hair samples were collected from fishermen and their families living in La Raya, a small-scale fishing community located northwest of Grande Marsh. Hair strands taken closest to the scalp were removed from the occipital region and then placed in white envelopes with the root end stapled.

Great care was taken to avoid contamination during collection and preparation of the samples. The nets and bottles were carefully rinsed with filtered marsh water before and after each use and stored in clean plastic containers with a lid. Plastic gloves were used at all times throughout the collection and handling of samples. At the lab, all glasware used was cleaned with HCl and HNO3 and subsequently rinsed three times with double-distilled water.

Mercury Analysis

T-Hg in unfiltered water samples was measured using cold vapor atomic absorption spectroscopy (CVAAS) after digestion with diluted KMnO4-K2S2O8 solutions for 2 h at 95°C (USEPA 1994). Detection limit was 0.1 μg/L. Sediments and seston were digested with H2SO4-HNO3 (7:3, v/v) and KMnO4 (5%, w/v) at 100°C for 1 h (USEPA 1998), whereas fish and other biological samples were treated with H2SO4-HNO3 (2:1, v/v) at 100–110°C for 3 h (Sadiq et al. 1991). Detection limits for sediments and biological samples were 26.4 μg/kg dry weight (wt) and 13.1 μg/kg fresh wt, respectively. Quality control was performed with certified materials and spiked samples. The T-Hg concentration for the biological material (DORM-2, dogfish muscle; National Research Council Canada) was 4.46 ± 0.25 μg/g dry wt (certified value, 4.64 ± 0.26 μg/g dry wt), and that for sediments (CRM008-050; Resource Technology Corp.) was 0.74 ± 0.02 μg/g dry wt (certified value, 0.72 ± 0.03 μg/g dry wt). Hg recovery percentages from the spiked samples were 98.0 ± 4.2% and 95.2 ± 4.3% (= 6) for sediments and biological material, respectively. In both methods the RSD was <10%. T-Hg concentrations in sediments, seston, and plankton are reported on a dry weight basis, whereas those in fish are expressed on a fresh or wet weight basis. Analyses of T-Hg in hair were performed by direct pyrolysis coupled with atomic absorption spectrometry (Sholupov et al. 2004), and calibration curves were prepared using certified materials (IAEA-085 and IAEA-086). Detection limit for hair T-Hg oscillated between 0.01 and 0.05 μg/g. Organic matter (OM) content in sediments was determined as reported by Coquery and Welbourn (1995). pH was measured in the sediment slurry using a pH-meter (Hanna Instruments, Italy) calibrated with its respective solutions before every determination.

A Hazard Index (HI) approach based on the EPA’s Risk Assessment Guidance for Superfund (USEPA 1989) was calculated to assess the risk of deleterious effects of MeHg exposure through fish consumption. HI is defined as the ratio of a single substance exposure level (E) to a reference dose (RfD), the latter calculated as the concentration of a particular chemical that is assumed to be safe to ingest on a daily basis during a lifetime. According to the USEPA (1989), the RfD for MeHg is 0.1 μg/kg/day. Exposure due to MeHg consumption was obtained using the formula, E = (C × I)/W, where C is the MeHg mean concentration in fish (C = 0.90 × T-Hg), taking into account that 90% of the T-Hg in fish species has been found to be MeHg (Morel et al. 1998), I is the fish daily consumption (g/day), and W is the mean weight for a normal adult person (70 kg). Accordingly, when HI exceeds unity, there may be concern for potential health effects, in particular, for pregnant women and children, who are prone to develop neurological damage due to MeHg ingestion.

Statistical Analysis

Data for Hg analysis are presented as mean ± standard error or mean ± confidence interval (CI). Data normality and equality of variance were assessed using the Kolmogorov-Smirnov (K-S) and Barlett’s test, respectively. ANOVA was used to compare means between stations, followed by Tukey’s post-test. Kruskal-Wallis was applied when data did not follow a normal distribution and previous transformation did not normalize them. Correlation or multiple linear regression analysis was used to establish relationships between two variables. For all purposes, significance was set at < 0.05.

Results

Mercury in Water and Sediments

Water and sediment T-Hg concentrations in different sampling sites are presented in Fig. 2. T-Hg concentration in water was 0.33 ± 0.03 μg/L (range, 0.16–0.46 μg/L), and on average, the T-Hg value at sampling site 1 (S1) was 41% greater than those observed at sites 2 and 3 (S2 and S3). Pooled data for all stations showed significant differences (= 0.027) between rainy (0.25 ± 0.02 μg/L) and dry (0.32 ± 0.03 μg/L) seasons. In sediments, T-Hg concentration was 0.71 ± 0.03 μg/g dry wt (range, 0.49–1.08 μg/g dry wt); and similarly to the results observed for water, S1 had significant greater T-Hg concentrations than the other sampling sites. In contrast to T-Hg in water, sediment data considering all sampling sites revealed nonseasonal changes for T-Hg (p = 0.838). Organic matter and pH levels in sediments are reported in Table 2. No statistical differences were observed for these parameters according to sampling site.

Fig. 2
figure 2

T-Hg concentrations in water and sediment samples at different stations at Grande Marsh. a, b Significantly different compared to S3 (a) or S2 (b)

Table 2 Organic matter and pH in sediments from Grande Marsh

Mercury in Seston, Phytoplankton, and Zooplankton

T-Hg levels found for seston, phytoplankton, and zooplankton at different sampling sites are presented in Fig. 3. Average values for pooled data were 1.20 μg/g dry wt (95% CI, 1.077 to 1.319 μg/g dry wt), 0.52 μg/g dry wt (95% CI, 0.459 to 0.573 μg/g dry wt), and 0.94 μg/g (95% CI, 0.823 to 0.966 μg/g dry wt), respectively. Seasonal changes in T-Hg content for phytoplankton and zooplankton collected at Grande Marsh are shown in Fig. 4. In these organisms, as well as in seston (rainy season, 1.06 ± 0.04 μg/g dry wt; dry season, 1.47 ± 0.04 μg/g dry wt, p < 0.001), T-Hg concentrations were greater during the dry season. Correlations between T-Hg levels in water, sediment, seston, phytoplankton, and zooplankton are presented in Table 3. All variables were significantly correlated (p < 0.05).

Fig. 3
figure 3

T-Hg concentrations in seston, phytoplankton, and zooplankton samples from Grande Marsh. Significantly different compared to S3 (a) or S2 (b)

Fig. 4
figure 4

T-Hg concentrations in phytoplankton and zooplankton from Grande Marsh at different sampling campaigns and stations. Data for sampling stations were pooled according to weather season (dry [3] or rainy [6] season) and comparisons were made using t-test

Table 3 Pearson correlations (r) between T-Hg levels found in different environmental matrices from Grande Marsh (p-values in parentheses)

Mercury in Fish

T-Hg levels found in fish from Grande Marsh are presented in Fig. 5. Average T-Hg concentration in fish muscle was 0.407 ± 0.360 μg/g fresh wt. Carnivorous and noncarnivorous fish species had statistical differences (p < 0.05) for average T-Hg concentrations in muscle, with values of 0.534 ± 0.292 and 0.157 ± 0.067 μg/g fresh wt, respectively. Consequently, a ratio of 3.4:1 was found between these two trophic levels. Highest mean values within carnivorous species were found in Caquetaia kraussi (1.09 ± 0.17 μg/g fresh wt), Hoplias malabaricus (0.58 ± 0.05 μg/g fresh wt), and Plagioscion surinamensis (0.53 ± 0.07 μg/g fresh wt), whereas the lowest were measured in the noncarnivorous species (iliophagus) Prochilodus magdalenae (Bocachico) (0.157 ± 0.01 μg/g fresh wt). For all collected samples, the greatest concentration was recorded in a specimen of Plagioscion surinamensis (pacora; 2.04 μg/g fresh wt). No statistical differences in T-Hg levels were found between carnivorous species (> 0.05). For some species (Fig. 5), statistical differences in T-Hg levels were found between the rainy and the dry season (p < 0.05), with highest values detected during the dry season. Linear regressions assessed to quantify the relationships between fish length and T-Hg in muscle are presented in Fig. 6. Regression slopes for carnivorous species were greater than those observed for noncarnivorous species.

Fig. 5
figure 5

T-Hg concentrations in fish from Grande Marsh. *Statistically different comparing carnivorous vs. noncarnivorous (nonC). **Comparison between rainy season (RS) and dry season (DS) for the same species

Fig. 6
figure 6

Regression relationships between T-Hg concentrations and length for different fish species collected from Grande Marsh

Mercury in Human Hair

Frequency distribution of Hg levels in fishermen and their families living around Grande Marsh are presented in Fig. 7. These data do not follow a normal distribution (K-S distance = 0.126, p < 0.001). Spearman correlations between T-Hg values in hair and some anthropometrical parameters as well as fish consumption frequency are presented in Table 4. Human age, stature, and weight did not correlate significantly with T-Hg in hair. In contrast, a low but significant correlation was observed between fish consumption and T-Hg levels.

Fig. 7
figure 7

Frequency distribution of T-Hg concentrations in people of La Raya, Grande Marsh

Table 4 Spearman correlations between T-Hg in hair and some general characteristics of the human population under study (significance level in parentheses)

HIs for the noncarcinogenic effects of T-Hg based on a fish consumption of 120 g/day by people from Grande Marsh are presented in Table 5. Lowest and highest HI values were detected for the noncarnivorous fish species Prochilodus magdalenae (1.17) and the carnivorous species Plagioscion surinamensis (31.47), respectively.

Table 5 Hazard indexes (HI) for noncarcinogenic effects of T-Hg based on a fish consumption of 120 g/day by people of Grande Marsh

Discussion

Mean T-Hg concentration in water from Grande Marsh (330 ± 30 ng/L) is 1.8 orders of magnitude greater than that estimated to be present in pristine freshwater ecosystems (5 ng Hg/L) (ATSDR 1997), and it is typical of sites severely polluted with Hg, such as those close to thermometer factories (Karunasagar et al. 2006). Water T-Hg values found in this study are also moderately greater than those reported for other rivers contaminated with artisanal gold mining in Ghana (162–164 ng/L [Donkor et al. 2006]) and Indonesia (up to 250 ng/L [Limbong et al. 2005]) but considerably lower than those observed in rivers located around gold-mining operation areas in Brazil (up to 800 ng/L [Palheta and Taylor 1995]). Interestingly, in some specific Amazonian rivers, such as in the Negro River, with low pH values and no history of Hg pollution, T-Hg levels in water can be as high as 3400–11,900 ng/L (Barbosa et al. 2003).

T-Hg concentrations found in sediments from Grande Marsh were greater than those reported for Mina Santa Cruz Marsh (gold-mining site), south of Bolivar, Colombia (0.140–0.355 μg/g dry wt [Olivero and Solano 1998]) and, also, higher than those observed in marshes located 40 km north of our study area (village of Caimito, San Jorge River basin: 0.155 ± 0.016 μg/g dry wt [Olivero et al. 2004]). On the other hand, considering a Hg threshold of 0.2 μg/g as the level of concern for Hg in continental water sediments (Salomons and Förstner 1984), on average, this zone of the Cauca River basin is categorized as highly polluted.

Based on sediment T-Hg levels, sampling sites represent two zones with significant differences between them (p < 0.05). Sampling site 1 (S1), located in the southwest part of the marsh, has higher concentrations, and it receives a direct impact from gold mining along the Caribona River, where Hg used during gold amalgamation reaches the river together with washed sediments. Recently, experiments using indoor microcosms have shown that sediments from tropical forest can undergo methylation of elemental Hg droplets, linking the amalgamation process with Hg transfer into the food chain (Dominique et al. 2007). Eventually, Hg from atmospheric deposition can also be taking place in Grande Marsh due to its proximity to the extraction sites, where amalgam burning releases this metal into the air (Mirlean et al. 2005). The second zone (S2 and S3), with a lower T-Hg concentration, corresponds to the middle and northeast area of the marsh, where contact with the gold-mining waters is less extensive. As shown in Fig. 1, Grande Marsh is small enough to allow for rapid mixing of water and sediments, and this may explain the relatively same T-Hg distribution in S2 and S3. However, independent from the sampling station, in this body of water, Hg methylation in sediments by sulfate reducing bacteria could be favored due to the their high organic matter content (9.24 ± 0.12%), relatively low pH levels (6.63 ± 0.01), and high temperatures (Morel et al. 1998; Ullrich et al. 2001).

The fact that current levels are far greater than 0.05 μg/g dry wt, the background T-Hg concentration reported for a similar marsh in the gold-mining area of Colombia (Olivero and Solano 1998), as well as the differences observed in T-Hg concentrations at the sampling stations (greater values at the station closer to Caribona River), suggests that this ecosystem is been impacted by gold-mining activities undertaken upstream of Caribona River. In Colombia, metallic Hg is directly incorporated into aquatic ecosystems and atmosphere from gold amalgamation and amalgam burning processes, respectively, without any significant effort to recover the metal (Olivero and Johnson 2002). Although Hg input into freshwater ecosystems from gold-mining areas in northern Colombia is similar to that observed for other South American countries (Appleton et al. 2001, 2006; Lacerda et al. 1994), it should be pointed out that environmental conditions in those marshes are different, compared, for instance, with some Amazonian ecosystems, where forest flooding is a crucial factor for the methylation rate of Hg, a critical step in its biomagnification potential (Guimarães et al. 2000).

Mean T-Hg values found in sediments from Grande Marsh were lower than those detected in seston, whereas T-Hg levels in zooplankton were greater than in phytoplankton, with significantly higher values recorded for sampling site 1 (S1) in all these compartments as well as in water. Moreover, T-Hg values in sediments strongly correlated with T-Hg in water, seston, phytoplankton, and zooplankton. These observations are particularly relevant because they suggest that Hg is incorporated into the plankton not only directly from the bottom sediments, but also from re-suspended material and water. As zooplankton constitutes the first primary consumers, Hg present in these organisms is available to be transferred into the higher levels of the food web that feed on them, as changes in zooplankton density could determine Hg levels in both herbivorous and predatory fish (Chen and Folt 2005). Although some studies have pointed out the importance of specific zooplankton herbivore species in the biomagnification of Hg (Pickhardt et al. 2005), all those present in the seston could work as short-distance carriers for Hg and allow its distribution along the nearby ecosystems. Besides geographical differences, significant seasonal changes in T-Hg levels were also found for both phytoplankton and zooplankton, with greater values during the dry season (Fig. 4). This result is surprising considering that during the rainy season Hg deposited within the river sediments is resuspended and more Hg is going to be deposited mainly at sampling site 1, the closest point to the gold-mining area. On the other hand, the observed trend might not be related to sediment resuspension as seen in other watersheds (Gammons et al. 2006). Alternatively, it could involve changes in water physicochemical and biological variables, a more pronounced mining activity during the dry season that could account for more Hg release, and decreased water volumes (Hylander et al. 2000b), among others factors.

A comparison between the T-Hg levels found in sediments, seston, zooplankton, and phytoplankton from Grande Marsh with those measured in other locations around the world (Table 6) revealed that, at least in terms of sediments, they can be considered high with respect to other gold mining polluted sites and, of course, compared with places without a Hg history. However, actual values reported here are not as dramatic as those seen in contaminated places in Ecuador and Peru.

Table 6 T-Hg concentrations in different environmental matrices of Grande Marsh from selected published data

The highest T-Hg values found in fish during the dry season are probably due to more primary production, leading to increased Hg bioavailability in the food chain, augmented gold-mining operations, reduced water column, and changing habitats, among other factors (Zapata 1994; Hylander et al. 2000a). Although the overall mean T-Hg concentration was found to be <0.5 μg/g fresh wt, the maximum T-Hg concentration that should be present in fish for human consumption according to the World Health Organization (WHO 1990), 40 fish specimens (24 Hoplias malabaricus and 16 Plagioscion surinamensis), representing 30.0% of the total collected, presented values above this limit, most of them during the dry season (Figs. 5 and 6). To protect vulnerable people, in particular, pregnant women, those under 15 years of age, and frequent fish consumers, the WHO (1990) has recommended the lower T-Hg guideline of 0.2 μg/g fresh wt for those groups. T-Hg concentrations found in most carnivorous and some noncarnivorous species were higher than 0.2 μg/g, levels greater than those detected in similar species collected at Capote Marsh, a low-polluted body of water located approximately 250 km north of the study site (Olivero et al. 1998), and in other zones subjected to Hg pollution in Colombia (Olivero et al. 2004; Olivero and Solano 1998), but similar to those reported for gold-mining sites in Brazil (Barbosa et al. 2003; Malm et al. 1997; Porvari et al. 1995).

According to the relationships between fish length and T-Hg in muscle (Fig. 6), regression slopes for bivariate data on carnivorous species were greater than those observed for noncarnivorous species, indicating a more efficient Hg accumulation. In the case of the iliophagus Prochilodus magdalenae, exposure may change along the life span due to its migratory behavior. Correlation analysis performed on pooled data for all specimens showed that T-Hg in fish increases with size (= 0.75, p < 0.001). Usually older individuals show higher Hg levels than younger ones as a consequence of a longer exposure time (Dixon and Jones 1994; Mauk and Brown 2001).

Median T-Hg concentration for T-Hg in hair from volunteers living around Grande Marsh was 4.7 μg/g, a value that is close to those published for polluted sites in Brazil (Telmer et al. 2006) but almost five times greater than the value recommended to protect pregnant woman and children from Hg poisoning (USEPA 2000). The low but significant correlation detected between T-Hg values in human hair and fish consumption (= 0.250, p = 0.016), was also found for Caimito, another municipality close to Grande Marsh (Olivero et al. 2002).

The consumption of fish contaminated with Hg may represent a risk for human health. At a screening level, the EPA HI approach (USEPA 1989) assumes that there is a level of exposure for noncarcinogenic substances below which it is unlikely for even sensitive populations to experience adverse health effects. Results presented here (Table 5) revealed that there is a potential human health risk for people who consume fish from Grande Marsh, in particular, carnivorous fish.

Human T-Hg concentrations together with the HI data presented here should encourage more extensive and intensive ecological and environmental health studies in the region by local government. Although fish are considered the main source of Me-Hg exposure, they are the only source of protein from the daily food intake of many populations in this region. In addition, it should be pointed out that, besides fish eaters, miners are exposed to Hg but in its inorganic form, and this could also end up in severe health problems (Eisler 2004; Counter 2003) that require special attention from health authorities.

Until now, most research related to Hg pollution in Latin American countries has focused on Hg in rivers, and although much is generally known about Hg biomagnification in these freshwater ecosystems, little has been reported on Hg levels in all basic compartments of a food web in a polluted marsh. An integrated figure showing Hg levels in different compartments of the Grande Marsh is presented here (Fig. 8). On average, Hg levels at the top of the food web are more than four orders of magnitude greater than those found in water.

Fig. 8
figure 8

T-Hg concentrations in different environmental compartments of the Grande Marsh ecosystem. Average concentrations are shown for each component in the food web. For comparison purposes, values for T-Hg in fish are also reported as dry weight using a 75% moisture content for fish tissue, an average value obtained from those reported by several authors (78.5% [Schmitt and Brumbaugh 2007], 72.2% [Butala et al. 2007], 69–82% [Kojadinovic et al. 2006])

Taken together, these results show evidence that Grande Marsh is heavily impacted by gold mining and that Hg present in sediments and water has contaminated food webs to such extent that human fish consumption represents a potential health risk. Governmental intervention in several aspects, such as applying law regulations to develop environmentally friendly gold-mining practices, educational programs about Hg pollution, programs for forest protection in river basins, and reforestation, among others, would be pivotal action to protect this food source from Hg contamination.