2018
DOI: 10.1016/j.geomorph.2017.08.004
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Characterizing storm response and recovery using the beach change envelope: Fire Island, New York

Abstract: Hurricane Sandy at Fire Island, New York presented unique challenges in the quantification of storm impacts using traditional metrics of coastal change, wherein measured changes (shoreline, dune crest, and volume change) did not fully reflect the substantial changes in sediment redistribution following the storm. We used a time series of beach profile data at Fire Island, New York to define a new contour-based morphologic change metric, the Beach Change Envelope (BCE). The BCE quantifies changes to the upper p… Show more

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Cited by 34 publications
(24 citation statements)
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“…A phase of ‘recovery’ towards pre‐storm sediment volume is then a natural morphodynamic response to this depleted state (Brenner et al. ). Because the rates of recovery depend on the magnitude of the storm‐induced changes, the subsequent hydrodynamic conditions, sediment availability and geological setting, predicting the time until full recovery is achieved (if ever) is challenging.…”
Section: Introductionmentioning
confidence: 99%
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“…A phase of ‘recovery’ towards pre‐storm sediment volume is then a natural morphodynamic response to this depleted state (Brenner et al. ). Because the rates of recovery depend on the magnitude of the storm‐induced changes, the subsequent hydrodynamic conditions, sediment availability and geological setting, predicting the time until full recovery is achieved (if ever) is challenging.…”
Section: Introductionmentioning
confidence: 99%
“…Sand and gravel beaches may undergo dramatic erosion and recession during sequences of extreme storm wave events (Ferreira, 2006), leaving them in a state of morphological disequilibrium. A phase of 'recovery' towards pre-storm sediment volume is then a natural morphodynamic response to this depleted state (Brenner et al, 2018). Because the rates of recovery depend on the magnitude of the storm-induced changes, the subsequent hydrodynamic conditions, sediment availability and geological setting, predicting the time until full recovery is achieved (if ever) is challenging.…”
Section: Introductionmentioning
confidence: 99%
“…Disraeli () found significantly lower concentrations of chlorophyll in A. breviligulata plants where burial was minimal (e.g., 2.5‐cm) than in areas where burial was great (e.g., 32.5‐cm), and changes in chlorophyll increased exponentially with increases in burial. The presence of budding foredunes on the ocean‐side of overwash fans reduces the amount of sand reaching farther inland (Brenner et al, ; Kilheffer, ; Maun, ), potentially contributing to reduced vigor of A. breviligulata in our study. Because NDVI calculates productivity based upon greenness of imagery pixels, a decrease in this productivity index indicates less greenness, or less chlorophyll, in A. breviligulata in our sites as foredunes continue to limit sand movement inland (Kilheffer, ).…”
Section: Discussionmentioning
confidence: 77%
“…We believe two years before the storm was an appropriate sample of pre-hurricane conditions because there were no major overwashing events on the islands between 2010 and Hurricane Sandy. Hurricane Irene hit Fire Island in August 2011 and impacted the island with steady winds and moderate wave heights; however, the storm transferred sand from the foreshore to the upper beach and near-dune regions, resulting in a beachfront elevation shift rather than dune overwash (Brenner et al 2018). Indeed, our post-Hurricane Sandy estimates may underestimate the amount of suitable habitat created by the storm because overwashes were manipulated by engineering between 2012 and 2015 and vegetative succession occurred.…”
Section: Discussionmentioning
confidence: 92%
“…Hurricane Irene hit Fire Island in August 2011 and impacted the island with steady winds and moderate wave heights; however, the storm transferred sand from the foreshore to the upper beach and near-dune regions, resulting in a beachfront elevation shift rather than dune overwash (Brenner et al 2018). Our model assessed selection two years prior to the storm and three years after because we were limited by nest data and imagery during 2011, 2013, and 2014.…”
Section: Discussionmentioning
confidence: 99%