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Spatially explicit ecological exposure models: a rationale for and path toward their increased acceptance and use
Theodore Wickwire1, Mark S Johnson, Bruce K Hope
1Exponent, Inc., Maynard, Massachusetts, USA.
Spatially explicit wildlife exposure models offer realistic ecological risk assessments but are underutilized. Increased accessibility, innovation, and communication are recommended to boost their adoption by practitioners.
Area of Science:
- Environmental Science
- Ecological Risk Assessment
- Wildlife Toxicology
Background:
- Spatially explicit wildlife exposure models integrate chemical concentrations, habitat heterogeneity, and foraging behavior for realistic exposure estimates.
- These models enhance ecological risk assessments and remedial planning efficiency but are underused in baseline assessments.
Purpose of the Study:
- Evaluate current applications of spatially explicit models in ecological risk assessment.
- Identify barriers to the use of these models and propose solutions for increased adoption.
- Highlight the value and availability of spatial models for risk assessment practitioners.
Main Methods:
- Convened an expert workshop as part of an Environmental Security Technology Certification Program Project.
- Discussed current applications and potential improvements for spatially explicit wildlife exposure models.
- Identified impediments including lack of precedent, misperceptions, regulatory gaps, poor communication, and input uncertainties.
Main Results:
- Spatially explicit models are valuable tools for improving realism in ecological exposure assessments.
- Significant barriers hinder the widespread use of these models in baseline ecological risk assessments.
- Workshop participants identified key actions to increase model acceptance and utilization.
Conclusions:
- Greater accessibility, innovative model design, and enhanced communication are crucial for increased model use.
- Training opportunities for decision-makers and regulators are needed.
- Explicit consideration of these models during assessment planning and problem formulation will promote their acceptance.
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