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Published on: June 17, 2022
RAD (Resist-Accept-Direct) switch points and triggers for adaptation planning
A J Lynch1, J D Ashander2, T W Ciocco3
1U.S. Geological Survey (USGS), National Climate Adaptation Science Center, 12201 Sunrise Valley Drive, MS-516, Room 2A128A, Reston, VA, 20192, USA.
Climate change impacts ecosystems, necessitating adaptive management. The Resist-Accept-Direct (RAD) framework guides decisions on ecosystem change, introducing switch points and triggers for pathway transitions.
Area of Science:
- Ecology
- Environmental Management
- Conservation Biology
Background:
- Climate change is a significant driver of global ecosystem transformation.
- The Resist-Accept-Direct (RAD) framework provides a structured approach for natural resource management in response to ecosystem changes.
- Decisions within the RAD framework involve complex considerations and the potential need to switch between management pathways over time.
Purpose of the Study:
- To introduce and define the concepts of RAD switch points and triggers.
- To support decision-making processes for adaptive ecosystem management under climate change.
- To provide a framework for iteratively reevaluating RAD pathway choices.
Main Methods:
- Conceptual development of RAD switch points and triggers.
- Application of concepts through case studies in ecosystem management.
- Synthesis of findings across diverse ecological contexts.
Main Results:
- Identified key considerations for determining when to transition between RAD pathways (Resist, Accept, Direct).
- Demonstrated the utility of switch points and triggers in practical management scenarios.
- Highlighted the iterative nature of RAD pathway selection in response to changing environmental conditions.
Conclusions:
- The RAD framework, augmented by switch points and triggers, offers a robust approach to managing ecosystems under climate change.
- Effective ecosystem management requires ongoing evaluation and adaptation of strategies based on ecological and socio-economic factors.
- Case studies illustrate the practical application of these concepts for informed decision-making in conservation and resource management.
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