Climate Change Data Portal
DOI | 10.5194/cp-15-389-2019 |
Technical note: Optimizing the utility of combined GPR; OSL; and Lidar (GOaL) to extract paleoenvironmental records and decipher shoreline evolution | |
Dougherty A.J.; Choi J.-H.; Turney C.S.M.; Dosseto A. | |
发表日期 | 2019 |
ISSN | 18149324 |
起始页码 | 389 |
结束页码 | 404 |
卷号 | 15期号:1 |
英文摘要 | Records of past sea levels, storms, and their impacts on coastlines are crucial for forecasting and managing future changes resulting from anthropogenic global warming. Coastal barriers that have prograded over the Holocene preserve within their accreting sands a history of storm erosion and changes in sea level. High-resolution geophysics, geochronology, and remote sensing techniques offer an optimal way to extract these records and decipher shoreline evolution. These methods include light detection and ranging (lidar) to image the lateral extent of relict shoreline dune morphology in 3-D, ground-penetrating radar (GPR) to record paleo-dune, beach, and nearshore stratigraphy, and optically stimulated luminescence (OSL) to date the deposition of sand grains along these shorelines. Utilization of these technological advances has recently become more prevalent in coastal research. The resolution and sensitivity of these methods offer unique insights on coastal environments and their relationship to past climate change. However, discrepancies in the analysis and presentation of the data can result in erroneous interpretations. When utilized correctly on prograded barriers these methods (independently or in various combinations) have produced storm records, constructed sea-level curves, quantified sediment budgets, and deciphered coastal evolution. Therefore, combining the application of GPR, OSL, and Lidar (GOaL) on one prograded barrier has the potential to generate three detailed records of (1) storms, (2) sea level, and (3) sediment supply for that coastline. Obtaining all three for one barrier (a GOaL hat-trick) can provide valuable insights into how these factors influenced past and future barrier evolution. Here we argue that systematically achieving GOaL hat-tricks on some of the 300+ prograded barriers worldwide would allow us to disentangle local patterns of sediment supply from the regional effects of storms or global changes in sea level, providing for a direct comparison to climate proxy records. Fully realizing this aim requires standardization of methods to optimize results. The impetus for this initiative is to establish a framework for consistent data collection and analysis that maximizes the potential of GOaL to contribute to climate change research that can assist coastal communities in mitigating future impacts of global warming. © 2019 Author(s). |
语种 | 英语 |
scopus关键词 | climate change; coastal evolution; coastal zone; global warming; Holocene; lidar; optimization; paleoclimate; paleoenvironment; remote sensing; storm |
来源期刊 | Climate of the Past
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/146847 |
作者单位 | School of Earth, Atmospheric and Life Sciences, University of Wollongong, Wollongong, 2522, Australia; Department of Earth and Environmental Sciences, Korea Basic Science Institute, Ochang, 28119, South Korea; Palaeontology, Geobiology and Earth Archives Research Centre (PANGEA), Australian Research Council Centre of Excellence for Australian Biodiversity and Heritage (CABAH), School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, 2052, Australia |
推荐引用方式 GB/T 7714 | Dougherty A.J.,Choi J.-H.,Turney C.S.M.,et al. Technical note: Optimizing the utility of combined GPR; OSL; and Lidar (GOaL) to extract paleoenvironmental records and decipher shoreline evolution[J],2019,15(1). |
APA | Dougherty A.J.,Choi J.-H.,Turney C.S.M.,&Dosseto A..(2019).Technical note: Optimizing the utility of combined GPR; OSL; and Lidar (GOaL) to extract paleoenvironmental records and decipher shoreline evolution.Climate of the Past,15(1). |
MLA | Dougherty A.J.,et al."Technical note: Optimizing the utility of combined GPR; OSL; and Lidar (GOaL) to extract paleoenvironmental records and decipher shoreline evolution".Climate of the Past 15.1(2019). |
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