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Multi-model comparison of salt marsh longevity under relative sea-level rise

June 13, 2025

Understanding salt marsh resilience under increasing sea levels can inform for management decisions. We compared temporal projections from various wetland process-based models and a geospatially derived metric (i.e., marsh lifespan) to understand key considerations and uncertainties about salt marsh resilience when using these products for decision-making. The influences of lidar topographic correction and marsh surface sediment accretion were explored across a suite of relative sea level rise (RSLR) projections to assess differences in the timing and amount of habitat change for each modeling approach. All models were run for a small coastal wetland site located in the Chesapeake Bay, Maryland, USA, to assess potential change in marsh habitat, and timing of marsh loss due to RSLR. All modeling results agreed that marsh longevity was threatened by RSLR but they varied in the time of predicted marsh submergence between the years 2070 and 2100 depending on the initial marsh surface elevation and accretion rates. Models with similar accretion rates predicted similar years until marsh submergence. Removing a positive elevation bias from lidar surveys in densely vegetated marsh areas for these models resulted in onset of submergence ~ 7 years earlier. Because there are many tradeoffs to each model type, end users need to evaluate management questions, overall goals, the amount of effort involved in model parameterization, and the amount of uncertainty in the model that they are willing to accept.

Publication Year 2025
Title Multi-model comparison of salt marsh longevity under relative sea-level rise
DOI 10.1007/s12237-025-01559-4
Authors Melinda Martinez, Kevin Buffington, Neil K. Ganju, Zafer Defne, Kate Ackerman, Karen M. Thorne, Glenn Guntenspergen, Joel A. Carr
Publication Type Article
Publication Subtype Journal Article
Series Title Estuaries and Coasts
Index ID 70268146
Record Source USGS Publications Warehouse
USGS Organization Eastern Ecological Science Center
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