Spatially-explicit Wildlife Exposure Modeling
Tools For Use In Human Health And
Ecological Risk Assessment: SEEM And
FISHRAND-migration
Author(s)
K. E. von Stackelberg, W. T. Wickwire & D. Burmistrov
Abstract
This paper presents two wildlife exposure models that incorporate the influence
of chemical distribution in the environment, habitat suitability relative to that
chemical distribution, and foraging behaviors of the modeled species. Spatiallyexplicit
wildlife exposure models provide more realistic exposure estimates for
use in human health and ecological risk assessments, and provide a means for
evaluating the impact of different remedial alternatives by identifying and
focusing on areas where habitat use and chemical contamination intersect.
The Spatially Explicit Exposure Model (SEEM) is being developed for the US
Army to improve the realism of terrestrial wildlife exposure modeling.
The aquatic model, FISHRAND-Migration (FR), is a mechanistic, time-varying
bioaccumulation model. This second-order probabilistic model incorporates
both sediment and water sources to predict the uptake of organic chemicals based
on prey consumption and food web dynamics. The Monte Carlo probabilistic
approach allows users to distinguish between sources of uncertainty and
variability in predicted fish body burdens. Both models offer assessors the tools
necessary for advanced exploration of risk drivers and identification of site areas
where habitat overlaps with chemical concentrations (and conversely areas
where chemicals are present, but habitat is limited).
Keywords: risk assessment, wildlife exposure assessment, spatial modelling,
probabilistic, uncertainty, ARAMS.
Keywords
risk assessment, wildlife exposure assessment, spatial modelling,
probabilistic, uncertainty, ARAMS.
Related Book
Other papers in this volume
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