Flynn, M, Ford, JD orcid.org/0000-0002-2066-3456, Pearce, T et al. (1 more author) (2018) Participatory scenario planning and climate change impacts, adaptation and vulnerability research in the Arctic. Environmental Science & Policy, 79. pp. 45-53. ISSN 1462-9011
Abstract
Participatory scenario planning (PSP) approaches are increasingly being used in research on climate change impacts, adaptation, and vulnerability (IAV). We identify and evaluate how PSP has been used in IAV studies in the Arctic, reviewing work published in the peer-reviewed and grey literature (n = 43). Studies utilizing PSP commonly follow the stages recognized as ‘best practice’ in the general literature in scenario planning, engaging with multiple ways of knowing including western science and traditional knowledge, and are employed in a diversity of sectors. Community participation, however, varies between studies, and climate projections are only utilized in just over half of the studies reviewed, raising concern that important future drivers of change are not fully captured. The time required to conduct PSP, involving extensive community engagement, was consistently reported as a challenge, and for application in Indigenous communities requires careful consideration of local culture, values, and belief systems on what it means to prepare for future climate impacts.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2017. Elsevier Ltd. All rights reserved. This is an author produced version of a paper published in Environmental Science & Policy. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Participatory scenario planning; Arctic; Climate change; Impacts; Adaptation; Vulnerability |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Sustainability Research Institute (SRI) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 15 Nov 2017 16:20 |
Last Modified: | 05 Nov 2018 01:39 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.envsci.2017.10.012 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:124038 |