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Updated: Jun 13, 2026

Visualization of Productivity Zones Based on Nitrogen Mass Balance Model in Narragansett Bay, Rhode Island
Published on: July 14, 2023
Uncertainty propagation in an ecosystem nutrient budget.
1US EPA, NHEERL, Gulf Ecology Division, 1 Sabine Island Drive, Gulf Breeze, Florida 32561, USA. lehrter.john@epa.gov
New methods for uncertainty propagation were developed for nutrient budgets in coastal embayments. These techniques improve risk assessment for environmental management by quantifying uncertainty in ecological data.
Area of Science:
- Environmental Science
- Ecological Modeling
- Geospatial Analysis
Background:
- Nutrient budgets are crucial for understanding coastal ecosystem health.
- Quantifying uncertainty in these budgets is essential for reliable environmental management.
- Classical uncertainty propagation methods have limitations in complex ecological studies.
Purpose of the Study:
- To develop and apply advanced uncertainty propagation methods for nutrient budgets.
- To integrate classical methods with Monte Carlo simulations and GIS analyses.
- To provide a framework for assessing uncertainty in ecological calculations.
Main Methods:
- Utilized classical uncertainty propagation by calculating standard error and degrees of freedom.
- Combined Monte Carlo simulations with classical error propagation.
- Incorporated uncertainty analyses for Geographic Information System (GIS) computations.
- Included uncertainty from literature and subjective estimates in budget terms.
Main Results:
- Developed a nutrient budget with associated uncertainty for a northern Gulf of Mexico coastal embayment.
- Calculated uncertainty intervals for all terms within the nutrient budget.
- Demonstrated the broad applicability of methods to various ecological calculations.
Conclusions:
- The developed methods offer a simple yet robust framework for propagating uncertainty.
- Improved interpretation of environmental data and risk assessment for decision-making.
- Enhances the reliability of scientific reporting and environmental management strategies.
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