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Developing qualitative ecosystem service relationships with the Driver-Pressure-State-Impact-Response framework: A
David M Martin1, Amy N Piscopo1, Marnita M Chintala1
1U.S. Environmental Protection Agency, Office of Research and Development, Atlantic Ecology Division, 27 Tarzwell Drive, Narragansett, Rhode Island 02882, U.S.A.
This study introduces a new method to model social-ecological relationships for environmental management, addressing data limitations. It helps resource managers understand the impacts of strategies on ecosystem services and societal tradeoffs.
Area of Science:
- Environmental management
- Social-ecological systems analysis
- Ecosystem services assessment
Background:
- Evaluating environmental management effectiveness is crucial but often hindered by scarce data.
- Understanding social-ecological relationships in coupled human and natural systems is complex.
- Resource managers require tools to assess management strategy impacts on ecosystem services and societal well-being.
Purpose of the Study:
- To present a novel method for modeling qualitative cause-effect relationships between management strategies and ecosystem services.
- To support resource managers in understanding social-ecological dynamics and strategy tradeoffs.
- To provide a framework for organizing and evaluating social, environmental, and cultural indicators.
Main Methods:
- Utilizing participant-provided information to model cause-effect relationships.
- Organizing indicators within the Driver-Pressure-State-Impact-Response (DPSIR) framework.
- Employing decision trees and numerical interaction strengths for relationship evaluation.
- Applying matrix multiplication to model direct and indirect interaction effects.
Main Results:
- Development of a method to visualize plausible interaction effects of management strategies on ecosystem services.
- Generation of data tables illustrating the impacts of management strategies.
- Demonstration of the method's applicability through a water quality case study on Cape Cod, Massachusetts.
Conclusions:
- The presented method offers a valuable approach to overcome data limitations in assessing environmental management strategies.
- It enhances the understanding of complex social-ecological interactions and informs decision-making for sustainable resource management.
- The framework facilitates the evaluation of tradeoffs between different management strategies and their consequences on ecosystem services.
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