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EM: An ecosystem model for evaluating the effects of introduced Pacific salmon on contaminant burdens of stream-resident fish (EM-1055)
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Expand AllEM Identity and Description
EM Identification
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EM ID
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EM-1055 |
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EM Short Name
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Ecotracer, foodweb contaminant model, US |
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EM Full Name
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An ecosystem model for evaluating the effects of introduced Pacific salmon on contaminant burdens of stream-resident fish |
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EM Source or Collection
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None |
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EM Source Document ID
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502 |
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Document Author
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McGill, L.M., Gerig, B.S., Chaloner, D.T. and Lamberti, G.A. |
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Document Year
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2017 |
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Document Title
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An ecosystem model for evaluating the effects of introduced Pacific salmon on contaminant burdens of stream-resident fish |
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Document Status
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Peer reviewed and published |
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Comments on Status
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Published journal manuscript |
Software and Access
| https://ecopath.org/downloads/ | |
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Contact Name
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Brandon S. Gerig |
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Contact Address
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Department of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556, United States |
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Contact Email
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bgerig@nd.edu |
EM Description
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Summary Description
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In the Laurentian Great Lakes, introduced Pacific salmon (Oncorhynchus spp.) can transport persistent organic pollutants and heavy metals to tributaries during their annual spawning migrations. To evaluate contaminant biotransport by spawning Pacific salmon, we developed a mass-balance ecosystem model for a Lake Huron tributary using Ecopath with Ecosim (EwE) and Ecotracer. Within EwE and Ecotracer, we developed scenarios that reflected a range of salmon biomass inputs and different trophic pathways to predict polychlorinated biphenyls (PCB) and mercury (Hg) burdens of Brown Trout, Brook Trout, and Mottled Sculpin. Our model accurately predicted PCB concentrations in stream-resident fish across a range of salmon spawner densities. However, we were unable to similarly predict Hg concentrations of stream-resident fish. Our modeling results suggest that salmon inputs specifically control PCB concentrations in stream-resident fish whereas Hg concentrations are more strongly influenced by diffuse background sources. Our model highlights how species-specific differences in diet and growth, along with trophic pathways, can influence the magnitude of contaminant impacts by spawning salmon. Insights from our study suggest that an EwE approach could be used to evaluate other legacy and emerging bioaccumulative contaminants in a variety of ecosystems. |
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Specific Policy or Decision Context Cited
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None provided |
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Biophysical Context
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Hunt Creek ecosystem, tributary of Lake Huron, Michigan |
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EM Scenario Drivers
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None identified |
EM Relationship to Other EMs or Applications
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Method Only, Application of Method or Model Run
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Method + Application |
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New or Pre-existing EM?
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Application of existing model |
Related EMs (for example, other versions or derivations of this EM) described in ESML
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Document ID for related EM
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None |
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EM ID for related EM
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EM-964 |
EM Modeling Approach
EM Relationship to Time
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EM Temporal Extent
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1986-2014 |
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EM Time Dependence
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time-dependent |
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EM Time Reference (Future/Past)
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future time |
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EM Time Continuity
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continuous |
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EM Temporal Grain Size Value
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Not applicable |
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EM Temporal Grain Size Unit
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Not applicable |
EM Spatial Extent
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Bounding Type
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Watershed/Catchment/HUC |
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Spatial Extent Name
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Hunt Creek |
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Spatial Extent Area (Magnitude)
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10-100 km^2 |
Spatial Distribution of Computations
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EM Spatial Distribution
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spatially lumped (in all cases) |
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Spatial Grain Type
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Not applicable |
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Spatial Grain Size
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Not applicable |
EM Structure and Computation Approach
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EM Computational Approach
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Analytic |
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EM Determinism
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deterministic |
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Statistical Estimation of EM
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Model Checking Procedures Used
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Model Calibration Reported?
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Yes |
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Model Goodness of Fit Reported?
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Unclear |
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Goodness of Fit (metric| value | unit)
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None |
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Model Operational Validation Reported?
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Yes |
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Model Uncertainty Analysis Reported?
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Unclear |
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Model Sensitivity Analysis Reported?
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Unclear |
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Model Sensitivity Analysis Include Interactions?
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Not applicable |
EM Locations, Environments, Ecology
Location of EM Application
Terrestrial location (Classification hierarchy: Continent > Country > U.S. State [United States only])
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Marine location (Classification hierarchy: Realm > Region > Province > Ecoregion)
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| None |
Centroid Lat/Long (Decimal Degree)
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Centroid Latitude
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44.9 |
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Centroid Longitude
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-84.11 |
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Centroid Datum
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WGS84 |
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Centroid Coordinates Status
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Estimated |
Environments and Scales Modeled
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EM Environmental Sub-Class
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Aquatic Environment (sub-classes not fully specified) |
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Specific Environment Type
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Great Lakes tributary |
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EM Ecological Scale
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Ecological scale corresponds to the Environmental Sub-class |
Scale and taxa of organisms modeled
Scale of differentiation of organisms modeled
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EM Organismal Scale
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Guild or Assemblage |
Taxonomic level and name of organisms or groups identified
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EnviroAtlas URL
em.detail.enviroAtlasURLHelp
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| None Available |
EM Ecosystem Goods and Services (EGS) potentially modeled, by classification system
CICES v 4.3 - Common International Classification of Ecosystem Services (Section > Division > Group > Class)
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(Environmental Subclass > Ecological End-Product (EEP) > EEP Subclass > EEP Modifier)
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| None |
EM Variable Names (and Units)
Predictor
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Driving Variables (and Units)
view details (7 variables)
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Constant or Factor Variables (and Units)
view details (4 variables)
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Intermediate
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Intermediate (Computed) Variables (and Units)
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None |
Response
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