The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Human geographies of climate change: Landscape, temporality, and lay knowledges
Abstract
In this paper we bring together work on landscape, temporality and lay knowledges to propose new ways of understanding climate change. A focus on the familiar landscapes of everyday life offers an opportunity to examine how climate change could be researched as a relational phenomenon, understood on a local level, with distinctive spatialities and temporalities. Climate change can be observed in relation to landscape but also felt, sensed, apprehended emotionally as part of the fabric of everyday life in which acceptance, denial, resignation and action co-exist as personal and social responses to the local manifestations of a global problem.
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Citations
Cites
Risk perceptions, general environmental beliefs, and willingness to address climate change
O'Connor, R. E., Bard, R. J., & Fisher, A. (1999) · Risk Analysis · doi:10.1111/j.1539-6924.1999.tb00421.x · Cited by 957
Whitmarsh, L. (2009) · Public Understanding of Science · doi:10.1177/0963662506073088 · Cited by 448 · cited 1×
“Nevertheless, we wish to acknowledge the inconsistencies and ambiguities that stalk the phrase, along with the intellectual ideological loading, the assignment of cause, the attribution of blame and the patina of doubt that surround the term (see, for example, Whitmarsh, 2009).”
BackgroundUnstable climates: Exploring the statistical and social constructions of ‘normal’ climate
Hulme, M., Dessai, S., Lorenzoni, I., & Nelson, D. R. (2009) · Geoforum · doi:10.1016/j.geoforum.2008.09.010 · Cited by 176
Metadata
- Authors
- Brace, C., & Geoghegan, H.
- Venue
- Progress in Human Geography
- Publisher
- SAGE Publications
- Published
- 2010-08-20
- Volume
- 35
- Issue
- 3
- Pages
- 284-302
- ISSN
- 0309-1325 (ISSN-L)
- 1477-0288
- OpenAlex
- W1999447531
- Cited by
- 311
- References
- 3
- FWCI
- 34.43
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
