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Futures of Arctic Marine Transport by 2030: An Explorative Scenario Approach

Futures of Arctic Marine Transport by 2030: An Explorative Scenario Approach
Type: 
Parallel
Time: 
17 March 2010 - 12:00pm
Marc Mueller-Stoffels1, Hajo Eicken2
1Department of Physics, University of Alaska Fairbanks, 900 Yukon Dr, Fairbanks, AK, 99775, USA, Phone 907 687 0259, mmuellerstoffels [at] alaska [dot] edu
2Geophysical Institute, University of Alaska Fairbanks, Fairbanks, AK, 99775, USA, hajo [dot] eicken [at] gi [dot] alaska [dot] edu

Scenarios are valuable tools for decisionmakers. The prediction of the future development of most real systems is inherently complex and usually inaccurate. Scenarios allow us to develop and bring into focus several images of future developments. These images can help decisionmakers to plan for a range of futures. Scenarios can also be a useful tool in identifying early indicators as to what the actual future development will be.

Scenario processes have been successfully employed in state, regional, local, and corporate planning and hazard or disaster response. Public scenario processes, as the one employed in this study, can be used to induce conversation between different stakeholder groups and to stimulate thinking 'outside the box'.

In this work we investigated possible futures for the Arctic Ocean and its coastal regions relative to marine transportation for the year 2030. Key factors for the developments in the Arctic were identified based on the data accumulated in an expert workshop of the Arctic Council's Arctic Marine Shipping Assessment (AMSA). While this contribution is not part of the formal AMSA process, we explore to what an extent consistency analysis can help refine and evaluate some of the AMSA scenarios. Each key factor was assigned several possible future projections, i.e., directions this key factor could possibly develop. The accumulated data were then made available on the web for comment by a broad range of experts and laymen. After revision of the data, the Consistency and Robustness Analysis (see corresponding poster) was used to assess possible futures for the Arctic. Based on the outcome of these calculations five scenarios were developed encompassing the most divergent future developments. We will outline these five scenarios and early indicators as to which of these scenarios is likely to mirror the actual development best. Further, we will discuss several Wild Card events we identified during the process that decisionmakers should be aware of and have contingency plans for.

Furthermore, we will discuss how these scenarios correspond to the body of knowledge accumulated in the University of Alaska's 'North by 2020' project. And how they can be utilized as a cornerstone in a broader assessment of possible futures for the Arctic.

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National Science Foundation | Division of Arctic Sciences
National Science Foundation
National Oceanic and Atmospheric Administration
National Oceanic and Atmospheric Administration
International Arctic Systems for Observing the Atmosphere
International Arctic Systems for Observing the Atmosphere
Study of Environmental Arctic Change
Study of Environmental Arctic Change
Arctic System Science Program
Arctic System Science Program
US Arctic Research Commission
US Arctic Research Commission
North Slope Science Initiative
North Slope Science Initiative
International Arctic Science Committee
International Arctic Science Committee
Arctic Ocean Sciences Board
Arctic Ocean Sciences Board
Alaska Ocean Observing System
Alaska Ocean Observing System
Department of Energy
Department of Energy
National Aeronautics and Space Administration
National Aeronautics and Space Administration
World Wildlife Fund
WWF
Association of Polar Early Career Scientists
Association of Polar Early Career Scientists
Bureau of Land Management
Bureau of Land Management
International Study of Arctic Change
International Study of Arctic Change
ArcticNet
ArcticNet
DAMOCLES
Developing Arctic Modeling and Observing Capabilities for Long-term Environmental Studies

This work is supported by the National Science Foundation (NSF) under the ARCUS Cooperative Agreement ARC-0618885. Any opinions, findings, and conclusions or recommendations expressed do not necessarily reflect the views of the NSF.