Approaches to anticipate futures Forecasting: Quantitative prediction of outcomes based on conceptual or mathematical models Stationarity Simplified (analytical.

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Presentation transcript:

Approaches to anticipate futures Forecasting: Quantitative prediction of outcomes based on conceptual or mathematical models Stationarity Simplified (analytical or complex) system models Analogs (paleo, historical, geographical) Numerical system models (climate models, earth system models) Foresight: Systematic, mostly qualitative exploration of full range of plausible future outcomes Scenarios and foresight – expert assessments (narratives, refined analyses such as consistency/plausibility or geospatial analysis) 1

2 AMSA Brigham

Steps in scenario identification Co-develop defining question Summarize current knowledge & trends Identify important drivers (factors, forces) Identify key uncertainties (from key drivers) Develop scenarios as plausible futures for bundles of key drivers & uncertainties Identify indicator variables Integrate scenarios into planning process by tracking indicators & developing strategies cognizant of scenarios

Plausibility&Consistency Robustness Ro – Projection bundles with high plausibility and consistency values and no/few partial inconsistencies 4

Further in-depth analysis of projection bundles 5 Mueller-Stoffels et al., 2010

NSSI Scenarios Project Project initiative by North Slope Science Initiative (NSSI) Funded by broad partnership and administered through BLM to develop Energy and Resource Development Scenarios Scenarios process to help NSSI member agencies and their partners refine research and monitoring investments What is the future of energy development, resource extraction, and associated support activities on the North Slope and adjacent seas through 2040?

Drivers of change Economic and regulatory  Price of oil and gas products  Demand for energy/ mineral resources  Regulatory environment  Development of infrastructure (onshore/ coastal)  Price of other commodities (coal, minerals)  Oil/ gas production tax code  Oil and gas development outside Alaska Technology and information  New technology (efficiency, discovery, clean-up) Demographics, Politics and Education  Global political stability Natural systems  Extent of seasonal sea ice  Climate change (temperature, precipitation)  Erosion (coastal/ riverine)  Permafrost degradation  Endangered species listings & critical habitat designations  Human-caused environmental disasters (e.g. oil spills) Community dynamics  Community stance on development  Local (village/borough) economy  Community health and food security

Fact sheets on key drivers Expert-reviewed Synthesizes knowledge on trends and uncertainties Helps inform workshop discussions

Decision-making in a changing Arctic 9 Observations GCM output Stroeve et al., 2010 Eicken & Lovecraft, Ch. 9, Nx2020, 2011

? ? ? ? ? Present

Scenarios: Challenges and Opportunities Importance of partnerships to support process – Stakeholder buy-in important Commitment to follow-through with scenario outcomes Opportunities to share information and expertise among stakeholders Ongoing outreach – Understand scenarios use and limitations – Rationale for prioritizing drivers and uncertainties Provide products that can be shared with stakeholders Scenarios without a specific “end-point” – revisit process and reassess priorities 11

Questions & Discussion SEARCH Arctic Futures