Olazabal, M., Chu, E., Castán Broto, V. et al. (1 more author) (2021) Subaltern forms of knowledge are required to boost local adaptation. One Earth, 4 (6). pp. 828-838. ISSN 2590-3330
Abstract
Evidence shows that current adaptation planning approaches are not always successful in generating actionable knowledge to guide implementation on the ground. There remains a persistent disconnect between the production of (physical) climate science and the implementation of practical, local, and context-specific adaptation actions. We argue for a need to incorporate “subaltern” knowledge (i.e., that which is typically labeled local, traditional, or indigenous knowledge) in climate adaptation science and practice. Building on recent comparative assessment studies, we identify limitations of current local adaptation action in its typical application of scientific knowledge and illustrate key pathways through which the subaltern can be integrated to better inform current approaches. We argue that subaltern knowledge can be a critical source of innovation and can help to broaden the adaptation solution space by enhancing both the effectiveness and the social legitimacy of actions.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 The Author(s). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | adaptation planning; climate information; subaltern knowledge; local climate action; adaptation solution space |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) |
Funding Information: | Funder Grant number European Commission - HORIZON 2020 804051 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 14 Sep 2021 12:38 |
Last Modified: | 14 Sep 2021 12:38 |
Status: | Published |
Publisher: | Cell Press (Elsevier) |
Refereed: | Yes |
Identification Number: | 10.1016/j.oneear.2021.05.006 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:178155 |