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Assessing spatial associations between perceptions of landscape value and climate change risk for use in climate change planning

handle: 1959.8/116427 , 2440/86817
This study examines spatially referenced perceived landscape values and climate change risks collected through public participation geographic information systems for potential use in climate change planning. Using survey data from the Southern Fleurieu Peninsula, South Australia, we present a method for identifying perceived landscape values and climate change risks to describe and quantify their spatial associations. Two spatial data models—vector and raster—and two analytical methods—Jaccard coefficients and spatial cross-correlations were used to describe the spatial associations. Results indicate that perceptions of climate change risk are driven, in part, by the values people assign or hold for places on the landscape. Biodiversity and intrinsic landscape values have strong spatial association with biodiversity loss risk while recreation values have strong spatial association with riparian flooding, sea-level rise and wave action risks. Other landscape values show weak to no spatial association with perceived climate change risks. The methodology described in this research provides a mechanism for government agencies to develop place-based adaptation strategies based on these associations.
- University of South Australia Australia
- University of South Australia Australia
- University of Queensland Australia
- University of Queensland Australia
- University of Adelaide Australia
public risk, Environmental concern, GIS, Social amplification, Place attachment, Public perceptions, C1, climate change, South Australia, Ecological risk
public risk, Environmental concern, GIS, Social amplification, Place attachment, Public perceptions, C1, climate change, South Australia, Ecological risk
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).67 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
