Interannual response of reef islands to climate-driven variations in water level and wave climate
Coral reef islands are among the most vulnerable landforms to climate change. However, our understanding of their morphodynamics at intermediate (seasonal to interannual) timescales remains poor, limiting our ability to forecast how they will evolve in the future. Here, we applied a semi-automated s...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
| Language: | English |
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MDPI
2020
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| Online Access: | http://purl.org/au-research/grants/arc/DE180100391 http://hdl.handle.net/20.500.11937/90256 |
| _version_ | 1848765357522681856 |
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| author | Cuttler, M.V.W. Vos, K. Branson, P. Hansen, J.E. O’leary, M. Browne, Nicola Lowe, R.J. |
| author_facet | Cuttler, M.V.W. Vos, K. Branson, P. Hansen, J.E. O’leary, M. Browne, Nicola Lowe, R.J. |
| author_sort | Cuttler, M.V.W. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Coral reef islands are among the most vulnerable landforms to climate change. However, our understanding of their morphodynamics at intermediate (seasonal to interannual) timescales remains poor, limiting our ability to forecast how they will evolve in the future. Here, we applied a semi-automated shoreline detection technique (CoastSat.islands) to 20 years of publicly available satellite imagery to investigate the evolution of a group of reef islands located in the eastern Indian Ocean. At interannual timescales, island changes were characterized by the cyclical re-organization of island shorelines in response to the variability in water levels and wave conditions. Interannual variability in forcing parameters was driven by El Niño Southern Oscillation (ENSO) cycles, causing prolonged changes to water levels and wave conditions that established new equilibrium island morphologies. Our results present a new opportunity to measure intermediate temporal scale changes in island morphology that can complement existing short-term (weekly to seasonal) and long-term (decadal) understanding of reef island evolution. |
| first_indexed | 2025-11-14T11:33:58Z |
| format | Journal Article |
| id | curtin-20.500.11937-90256 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:33:58Z |
| publishDate | 2020 |
| publisher | MDPI |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-902562023-06-08T09:33:57Z Interannual response of reef islands to climate-driven variations in water level and wave climate Cuttler, M.V.W. Vos, K. Branson, P. Hansen, J.E. O’leary, M. Browne, Nicola Lowe, R.J. Science & Technology Life Sciences & Biomedicine Physical Sciences Technology Environmental Sciences Geosciences, Multidisciplinary Remote Sensing Imaging Science & Photographic Technology Environmental Sciences & Ecology Geology reef islands ENSO CoastSat shoreline variability satellite-derived shorelines DECADAL SHORELINE CHANGES RUN-UP ATOLL RISE VARIABILITY PREDICTIONS RESOLUTION STABILITY GRADIENTS ACCURACY Coral reef islands are among the most vulnerable landforms to climate change. However, our understanding of their morphodynamics at intermediate (seasonal to interannual) timescales remains poor, limiting our ability to forecast how they will evolve in the future. Here, we applied a semi-automated shoreline detection technique (CoastSat.islands) to 20 years of publicly available satellite imagery to investigate the evolution of a group of reef islands located in the eastern Indian Ocean. At interannual timescales, island changes were characterized by the cyclical re-organization of island shorelines in response to the variability in water levels and wave conditions. Interannual variability in forcing parameters was driven by El Niño Southern Oscillation (ENSO) cycles, causing prolonged changes to water levels and wave conditions that established new equilibrium island morphologies. Our results present a new opportunity to measure intermediate temporal scale changes in island morphology that can complement existing short-term (weekly to seasonal) and long-term (decadal) understanding of reef island evolution. 2020 Journal Article http://hdl.handle.net/20.500.11937/90256 10.3390/rs12244089 English http://purl.org/au-research/grants/arc/DE180100391 http://creativecommons.org/licenses/by/4.0/ MDPI fulltext |
| spellingShingle | Science & Technology Life Sciences & Biomedicine Physical Sciences Technology Environmental Sciences Geosciences, Multidisciplinary Remote Sensing Imaging Science & Photographic Technology Environmental Sciences & Ecology Geology reef islands ENSO CoastSat shoreline variability satellite-derived shorelines DECADAL SHORELINE CHANGES RUN-UP ATOLL RISE VARIABILITY PREDICTIONS RESOLUTION STABILITY GRADIENTS ACCURACY Cuttler, M.V.W. Vos, K. Branson, P. Hansen, J.E. O’leary, M. Browne, Nicola Lowe, R.J. Interannual response of reef islands to climate-driven variations in water level and wave climate |
| title | Interannual response of reef islands to climate-driven variations in water level and wave climate |
| title_full | Interannual response of reef islands to climate-driven variations in water level and wave climate |
| title_fullStr | Interannual response of reef islands to climate-driven variations in water level and wave climate |
| title_full_unstemmed | Interannual response of reef islands to climate-driven variations in water level and wave climate |
| title_short | Interannual response of reef islands to climate-driven variations in water level and wave climate |
| title_sort | interannual response of reef islands to climate-driven variations in water level and wave climate |
| topic | Science & Technology Life Sciences & Biomedicine Physical Sciences Technology Environmental Sciences Geosciences, Multidisciplinary Remote Sensing Imaging Science & Photographic Technology Environmental Sciences & Ecology Geology reef islands ENSO CoastSat shoreline variability satellite-derived shorelines DECADAL SHORELINE CHANGES RUN-UP ATOLL RISE VARIABILITY PREDICTIONS RESOLUTION STABILITY GRADIENTS ACCURACY |
| url | http://purl.org/au-research/grants/arc/DE180100391 http://hdl.handle.net/20.500.11937/90256 |