Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/23332
Title: An indicative index of physical susceptibility of small islands to coastal erosion induced by climate change: an application to the Pacific islands
Contributor(s): Kumar, Lalit  (author)orcid ; Eliot, Ian (author); Nunn, Patrick D (author); Stul, Tanya (author); McLean, Roger (author)
Publication Date: 2018
Open Access: Yes
DOI: 10.1080/19475705.2018.1455749Open Access Link
Handle Link: https://hdl.handle.net/1959.11/23332
Abstract: An objective method is proposed to evaluate the susceptibility of islands to climate change. As used here, susceptibility is an estimate of the potential for physical change of an island coast in response to likely changes in climate-ocean boundary conditions. The evaluation is based on an assumption that the intensity of impact due to climate and ocean processes can be typically related to four physical and quantifiable variables: island rock-type (lithology), island shape (circularity), maximum elevation and area. These four physical variables were used to determine a dimensionless index for each of 1779 islands across 26 countries and 8 island types in the Pacific Ocean. Most islands fell in the high (29%), moderate (23%) and low (23%) susceptibility classes, whilst the remainder were split between the extremes of very high (12%) and very low (13%). Eleven countries had islands with all five levels, while eight had islands with mostly high and very high ratings. The index may be used as a tool for rapid appraisal by international and regional agencies as well as national governments for prioritization of adaptation measures to a changing climate, particularly when combined with climatic and oceanic process variables, together with knowledge of population and infrastructure.
Publication Type: Journal Article
Source of Publication: Geomatics, Natural Hazards and Risk, 9(1), p. 691-702
Publisher: Taylor & Francis
Place of Publication: United Kingdom
ISSN: 1947-5705
1947-5713
Field of Research (FOR): 090903 Geospatial Information Systems
090702 Environmental Engineering Modelling
090505 Infrastructure Engineering and Asset Management
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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Appears in Collections:Journal Article
School of Environmental and Rural Science

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