Abstract
The magnitude and frequency of storm events, relative sea-level rise (RSLR), sediment supply, and anthropogenic alterations drive the morphologic evolution of barrier island systems, although the relative importance of any one driver will vary with the spatial and temporal scales considered. To explore the relative contributions of storms and human alterations to sediment supply on decadal changes in barrier landscapes, we applied Otsu’s thresholding method to multiple satellite-derived spectral indices for coastal land-cover classification and analyzed Landsat satellite imagery to quantify changes to the northern Chandeleur Islands barrier system since 1984. This high temporal-resolution dataset shows decadal-scale land-cover oscillations related to storm–recovery cycles, suggesting that shorter and (or) less resolved time series are biased toward storm impacts and may significantly overpredict land-loss rates and the timing of barrier morphologic state changes. We demonstrate that, historically, vegetation extent and persistence were the dominant controls on alongshore-variable landscape response and recovery following storms, and are even more important than human-mediated sediment input. As a result of extensive vegetation losses over the past few decades, however, the northern Chandeleur Islands are transitioning to a new morphologic state in which the landscape is dominated by intertidal environments, indicating reduced resilience to future storms and possibly rapid transitions in morphologic state with increasing rates of RSLR.
Highlights
Prevailing oceanographic climate, sediment supply, relative sea-level rise (RSLR), the magnitude and frequency of storm events, and anthropogenic modifications interact to drive the morphologic evolution of barrier systems at varying spatial and temporal scales
States [50] and, may not be as accurate at the barrier-island scale [97]. We find this is true when the timing of NLCD datasets coincides with the impacts of extreme storms in this highly dynamic coastal system
The results presented in this study demonstrate that automated thresholding algorithms can be applied to multiple spectral indices derived from medium-resolution Landsat satellite imagery to rapidly delineate land-cover classes and barrier-island extents at the landscape scale
Summary
Changes to the whole-island area are considered [15,17,21,24,25,26] These studies often emphasize short-term changes induced by extreme storm events [14,15,23,27,28,29] and most consider the sandy barrier-island (beach and dune) and back-barrier (marsh and tidal flat) environments separately. Recent studies demonstrated the importance of whole-system connectivity to barrier morphology and evolution [30,31,32] and expanded the scope of historical analyses to consider the annual- to decadal-scale landscape evolution of barrier islands [33,34,35,36,37,38,39]
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