Rich local knowledge despite high transience in an Arctic community experiencing rapid environmental change
Ann Eileen Lennert (),
René van der Wal,
Jasmine Zhang,
Vera Helene Hausner,
Francisco Javier Ancin Murguzur and
Martin W. Miles
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Ann Eileen Lennert: The Arctic University of Norway
René van der Wal: Swedish University of Agricultural Sciences
Jasmine Zhang: Swedish University of Agricultural Sciences
Vera Helene Hausner: The Arctic University of Norway
Francisco Javier Ancin Murguzur: The Arctic University of Norway
Martin W. Miles: NORCE Norwegian Research Centre
Palgrave Communications, 2023, vol. 10, issue 1, 1-15
Abstract:
Abstract Environmental monitoring and long-term research produce detailed understanding, but its collective effort does not add up to ‘the environment’ and therefore may be difficult to relate to. Local knowledge, by contrast, is multifaceted and relational and therefore can help ground and complement scientific knowledge to reach a more complete and holistic understanding of the environment and changes therein. Today’s societies, however, are increasingly fleeting, with mobility potentially undermining the opportunity to generate rich community knowledge. Here we perform a case study of High Arctic Svalbard, a climate change and environmental science hotspot, using a range of community science methods, including a Maptionnaire survey, focus groups, interviews and cognitive mapping. We show that rich local knowledge on Svalbard could indeed be gathered through community science methods, despite a high level of transience of the local population. These insights complement environmental monitoring and enhance its local relevance. Complex understanding of Svalbard’s ecosystems by the transient local community arose because of strong place attachment, enabling environmental knowledge generation during work and play. We conclude that transience does not necessarily prevent the generation of valuable local knowledge that can enrich and provide connection to scientific understanding of the environment.
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:pal:palcom:v:10:y:2023:i:1:d:10.1057_s41599-023-02310-9
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DOI: 10.1057/s41599-023-02310-9
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