A Screening Level Probabilistic Risk Assessment of Mercury in Florida Everglades Food Webs

Duvall, Stephanie E.; Barron, Mace G.

doi:10.1006/eesa.2000.1949

Cited by 53 publications

(21 citation statements)

References 26 publications

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“…observ.). Bio-accumulation of mercury was reported in the American Alligator (Alligator mississippiensis) (Duvall and Barron 2000;Khan and Tansel 2000), and is likely to occur in the caiman species and anaconda as well. Health effects of high mercury levels in reptiles are not well studied and need further investigations.…”

Section: Conservation Considerationsmentioning

confidence: 98%

Mercury Levels in Pristine and Gold Mining Impacted Aquatic Ecosystems of Suriname, South America

Ouboter

Landburg

Quik³

et al. 2012

AMBIO

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Mercury levels in sediment and predatory fish were measured for 53 localities in Suriname. The average mercury level in bottom sediment surpassed the Canadian standard for sediment in most localities, except the coastal plains. Of the predatory fish, 41 % had a mercury level above the European Union standard for human consumption of 0.5 lg g -1 . Highest mercury levels were found in fish from the Brokopondo Reservoir and from the Upper Coppename River. High levels of mercury in fish in pristine areas are explained by atmospheric transportation of mercury with the northeastern trade winds followed by wet deposition. Contrary to gold mining areas, where mercury is bound to drifting sediments, in ''pristine'' areas the mercury is freely available for bio-accumulation and uptake. Impacts on piscivorous reptiles, birds, and mammals are unknown, but likely to be negative.

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Section: Conservation Considerationsmentioning

confidence: 98%

Mercury Levels in Pristine and Gold Mining Impacted Aquatic Ecosystems of Suriname, South America

Ouboter

Landburg

Quik³

et al. 2012

AMBIO

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“…Ecological risk assessments have indicated that populations of top predators such as wading birds could be adversely affected by MeHg contamination (Duvall and Barron, 2000). MeHg levels in top predator fish in ENP are among the highest levels in the nation for freshwater fish (Axelrad et al, 2009), and represent a threat to fish-eating avian and mammalian wildlife (Rumbold et al, 2008).…”

Section: Impacts On Mehg Production and Bioaccumulationmentioning

confidence: 99%

Sulfur in the South Florida Ecosystem: Distribution, Sources, Biogeochemistry, Impacts, and Management for Restoration

Orem

Gilmour

Axelrad

et al. 2011

Critical Reviews in Environmental Science and Technology

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“…This approach can be designed for screening and ranking the risk to aquatic organisms for pollutants, as well as estimating the exposure of a population or community to potentially hazardous pollutants and their responses to the pollutants. For example, the probabilistic distribution of the hazard quotient generated by a Monte Carlo simulation was applied to assess the ecological risk of PAHs in rivers from Tianjin (Yang et al 2006), and to analyze the risk of mercury to aquatic organisms such as the American alligator (Alligator mississippiensis), great egret (Egretta alba), and the raccoon (Procyon lotor varius) in the Florida Everglades (Duvall and Barron 2000). This method has also been widely employed in health risk assessment.…”

Section: Introductionmentioning

confidence: 99%

Characterizing ecological risk for polycyclic aromatic hydrocarbons in water from Lake Taihu, China

Guo

et al. 2011

Environ Monit Assess

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Lake Taihu provides vital ecological services for humans in China; it receives a great deal of attention regarding its ecological and environmental conditions. In this study, the ecological risks of eight individual polycyclic aromatic hydrocarbons (PAHs) in water were assessed using probabilistic distributions of the hazard quotient based on Monte Carlo simulation. The results show that the 95th percentile of the hazard quotients ranged from 0.00074 to 2.831, and the ecological risk of Flua was highest, followed by, in descending order of risk, B[a]P > Pyr > Ant> Phe > Flu > Ace > Chr. The probabilities of hazard quotients exceeding a decision criteria of 0.3 were 18.09%, 6.51%, 3.76%, and 2.85% for Flua, B[a]P, Pyr, and Ant, respectively, indicating their potential ecological risks to aquatic organisms. The spatial distribution of hazard quotients for these four individual PAHs with potential ecological risk were obtained using Geographic Information System (GIS), and similar spatial distribution patterns were also observed in the lake. The highest ecological risks of these four individual PAHs to aquatic organisms were found in Meiliang Bay, followed by Gonghu Bay and Xukou Bay. The uncertainty within the ecological risk assessment was also discussed.

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A Screening Level Probabilistic Risk Assessment of Mercury in Florida Everglades Food Webs

Cited by 53 publications

References 26 publications

Mercury Levels in Pristine and Gold Mining Impacted Aquatic Ecosystems of Suriname, South America

Mercury Levels in Pristine and Gold Mining Impacted Aquatic Ecosystems of Suriname, South America

Sulfur in the South Florida Ecosystem: Distribution, Sources, Biogeochemistry, Impacts, and Management for Restoration

Characterizing ecological risk for polycyclic aromatic hydrocarbons in water from Lake Taihu, China

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