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April 24, 2026Geophysical Research Letters0 citationsOpen Access

Spatial Heterogeneity of Salt Marsh Vulnerability to Sea‐Level Rise: Dual Controls of Hydrological Setting and Salinity Regime

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DYDongxiao YinZDZafer DefneNGNeil K. Ganju

Key Points

  • The research aims to evaluate how marsh vulnerability to sea-level rise relates to hydrological and salinity variations.
  • Combined geospatial analysis with hydrodynamic modeling.
  • Evaluated unvegetated/vegetated marsh ratio across different hydrological regions and salinity regimes.
  • Focused on the Albemarle-Pamlico Estuarine System.
  • Showed that unvegetated/vegetated marsh ratio decreases from offshore to inland at given normalized elevation.
  • Found that the UVVR-elevation relationship varies systematically with hydrological setting and salinity regime.
  • Highlighted that hydrological setting has a stronger influence on marsh vulnerability than salinity regime.

Abstract

Abstract Salt marsh vulnerability to sea‐level rise (SLR) is typically assessed using point measurements of vertical accretion, neglecting three‐dimensionality of geomorphic evolution and spatial variability. Recent studies suggest links between vertical and horizontal vulnerability, with differences between oligohaline and polyhaline marshes, yet these relationships remain untested in estuary‐marsh systems. Here we combine geospatial analysis with hydrodynamic modeling to evaluate how unvegetated/vegetated marsh ratio (UVVR), a metric of marsh degradation, relates to elevation across hydrological regions and salinity regimes in the Albemarle‐Pamlico Estuarine System, the largest lagoonal estuary in U.S. We show that at given normalized elevation, UVVR decreases across hydrological regions and salinity regimes from offshore to inland. UVVR‐elevation relationship varies systematically with both hydrological setting and salinity regime, with hydrology exerting stronger influence. These findings challenge the assumption of a universal marsh deterioration trajectory and underscore the need to account for spatial heterogeneity when predicting responses to SLR.

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Cite This Study

Yin et al. (2026) studied this question.

synapsesocial.com/papers/69eb092b553a5433e34b3b6fhttps://doi.org/10.1029/2025gl119461
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