United States Environmental Protection Agency	Office of Research and Development

National Exposure Research Laboratory
Research Abstract

Government Performance Results Act (GPRA) Goal 8
Annual Performance Measure 85

Significant Research Findings:

Spatially-Distributed Everglades Mercury Model

Scientific	The cycling and accumulation of mercury in aquatic food chains in the

Problem and	Everglades initially emerged as an issue with the discovery of elevated

Policy Issues	concentrations of Hg in largemouth bass in 1989. Although atmospheric

deposition is recognized as the predominant source of mercury to the Everglades,
the spatial heterogeneity of concentrations of mercury in biota indicates that
localized biogeochemical factors play an important role in the mercury loads in
aquatic biota. The main scientific problem is to elucidate how atmospheric
deposition fluxes result in the observed spatial gradients in total and methyl
mercury in water, marsh soil, and biota. In order to evaluate the ecological and
human health effects of proposed management and restoration options for the
Everglades, The U.S. Environmental Protection Agency (EPA) was interested in
describing the interrelationships between anthropogenic disturbances in the
Everglades and possible effects on the aquatic mercury cycle.

Research	A process-based simulation model of mercury biogeochemistry and

Approach	bioaccumulation was linked internally with an empirical phosphorus-vegetation

dynamics module and linked externally to a spatially distributed model of water
flow and phosphorus dynamics in the Everglades. The Everglades Mercury
Cycling Model (E-MCM) is a dynamic model designed to predict the complex and
often competing effects of changing mercury loadings, hydrology, and trophic
state on mercury dynamics. E-MCM was initially developed as a one box "unit
wetland" model that was applied to discrete Everglades sections of particular
interest, each including two layers in the water column and three sediment layers.
The model simulates elemental, divalent, and methyl mercury in the marsh and
methyl mercury bioaccumulated in the food web. Sensitivity analyses with E-
MCM indicated that the important external parameters controlling mercury fate
include hydrologic flows and depths, concentrations of total phosphorus and
concomitant changes in macrophyte and periphyton production, turnover, and
decomposition. Thus, in order to use E-MCM to examine the scientific and
management questions, E-MCM was linked to an external trophic state model that
could predict changes in nutrient concentrations and the concomitant effects on
trophic state, including associated variables such as carbon turnover rates, detrital
fluxes and sedimentation, etc. Finally, the E-MCM spatial linkage was extended to
accommodate a spatial network that could include the entire Everglades.

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The Everglades Phosphorus and Hydrology (EPH) model was chosen as the
underlying platform to predict hydrologic and nutrient dynamics across the
Everglades. In order to relate the effects of changing phosphorus dynamics on
mercury cycling in the Everglades, changes in nutrient concentrations predicted
by EPH were translated into changes in trophic state and related variables, based
on empirical relationships between total water column phosphorus, march
vegetation, and sedimentation (peat accretion) rates.

Results and	This work documents the first "proof-of-concept" stage of linking a unit process

Impact	mercury biogeochemistry model to a spatially-distributed flow and nutrient

model. The focus for this stage is the application of the linked models to Water
Conservation 2A, a region marked by a profound gradient in total phosphorus
concentrations across the system, and by changes in the relative importance of
surface vs. atmospheric inputs of water as one moves from the inflow control
structures towards the interior and outflow control structures of the system.

Preliminary results with the spatially distributed E-MCM suggest that spatial
dynamics of Hg accumulation are influenced by the complex interplay of a
number of relationships, including (1) the relationship between trophic state and
particle dynamics, which influence sedimentary Hg concentrations directly and
also influence methylation rates; and (2) water depth and methyl Hg dynamics in
the water column. This latter relationship reflects the fact that for most cells
methyl Hg is largely produced in situ, rather than imported from upstream cells.
Interestingly, depending upon the cell, differing temporal dynamics for fish tissue
concentrations were predicted.

This linked modeling system should be able to describe mercury fate more
realistically than earlier distributed screening models or point-based process
models. This should lead to more confident analyses and evaluations of
management alternatives in the Everglades.

A general dynamic version of MCM was initially modified and extended to the
Everglades under contract to the EPA to include features specific to the
Everglades and not previously considered by MCM. E-MCM has recently been
further modified to improve its conceptual representation of important
biogeochemical processes in the Everglades under contract to the Florida
Department of Environmental Protection and co-funded by the South Florida
Water Management District.

Future Research The next logical step is to extend the application of this linked modeling system to
the entire Everglades system and test its predictions for the period of record. In
addition, further process experimentation would help render this model more
predictive. Sulfate and sulfide concentrations also are believed to be important
external parameters influencing Hg cycling in the Everglades, but the ability to
predict changing sulfate and porewater sulfide concentrations and resultant
changes in Hg methylation and cycling in response to changing external inputs to
the system has yet to be fully developed. In the future, it would be useful to
utilize more predictive relationships between phosphorus levels and vegetation

Research
Collaboration and
Research
Products

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response, such as are being developed by the South Florida Water Management
District in the Everglades Landscape Model.

Contacts for	Questions and inquiries can be directed to:

Additional	Robert B. Ambrose, Jr.

Information	U.S. EPA, Office of Research and Development

National Exposure Research Laboratory
Ecosystems Research Division
960 College Station Rd.

Athens, GA 30605
Phone: 706/355-8229
E-mail: ambrose.robert@epa.gov

National Exposure Research Laboratory — October 2003


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