Tamara Wall &Tim Brown, DRI; Gregg Garfin, Holly Hartmann & Julie Brugger, Univ. of AZ
- Using the Central Great Basin Rapid Ecological Assessment (REA) data, develop best management practices for using scenario planning methods in adaptation planning.
- IdentifY how these methods may be integrated into existing regulatory planning processes.
- Identification of best practices for using REA data in scenario planning for strategic management actions.
- Participants will have a firm basis for identifYing and prioritizing strategies for adaptation planning.
This project will use two previously developed scenario planning processes, Adaptation for Conservation Targets (ACT) & Strategic Scenario Planning (SSP), and integrate them into a series of webinars and a workshop to answer the following questions:
- How can scenario planning approaches best incorporate information from REAs?
- How do scenario planning outcomes connect with existing management planning processes, so that they can best be incorporated into existing ELM adaptive management practices?
- What are the most appropriate uses for ACT and SSP methods?
- What are the most robust measures to evaluate scenario planning effictiveness and successfUl implementation?
The SSP method was developed for comprehensive, executive level applications, where decisions can be made and implemented with 'top-down' direction. ACT was developed for highly scoped field-level management questions, pertaining to a single conservation target or landscape process (e.g., fire), and has generally focused on near-term actions that have implications for projected mid-century management. This project will evaluate the potential of combining the two processes to result in a process that is comprehensive and spurs thinking about divergent futures (SSP), and can identif clear pathways to field-level actions (ACT) within a comprehensive, widely-scoped framework.
Potential Project Participants:
Bi-State Sage-grouse Working Group . BLM Field Managers, Central Great Basin USFS District Managers