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Conceptual Framework for Assessing Ecosystem Health
Mark A Harwell1, John H Gentile1, Larry D McKinney2
1Harwell Gentile & Associates, LC, Port Orange, Florida, USA.
A new framework assesses Gulf of Mexico ecosystem health by identifying environmental drivers, pressures, and stressors. This Drivers-Pressures-Stressors-Condition-Responses (DPSCR4) model aids in evaluating restoration progress and informing management decisions.
Area of Science:
- * Ecological assessment and environmental management.
- * Ecosystem health and sustainability evaluation.
- * Integrated human-ecological systems modeling.
Background:
- * The Gulf of Mexico's environment has been degraded by human activities over the past century.
- * The 2010 Deepwater Horizon oil spill highlighted the need for a comprehensive ecosystem assessment framework.
- * Existing frameworks required integration to address the scale and complexity of the Gulf ecosystem.
Purpose of the Study:
- * To develop an integrated assessment framework for characterizing Gulf of Mexico ecosystem health and sustainability.
- * To identify natural and anthropogenic drivers, pressures, and stressors impacting ecosystems and their services.
- * To establish indicators for ecological condition and progress toward health and sustainability goals.
Main Methods:
- * Integrated previous ecological risk and environmental management frameworks.
- * Developed the Drivers-Pressures-Stressors-Condition-Responses (DPSCR4) conceptual model.
- * Incorporated a hierarchical structure for communicating results to diverse audiences.
Main Results:
- * The DPSCR4 framework was developed to link drivers to ecological conditions and societal responses.
- * Proof-of-concept studies included a Texas Coastal Ecosystems Report Card and a Mission-Aransas Reserve pilot study.
- * The framework provides a comprehensive model of coupled human-ecological systems.
Conclusions:
- * The DPSCR4 framework offers a structured approach to assess and manage complex ecosystems like the Gulf of Mexico.
- * The framework is adaptable to various scales, ecosystem types, and environmental settings.
- * This integrated model supports informed decision-making for environmental restoration and sustainability.
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