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Article

A Decision-Support Framework for Evaluating Riverine Sediment Influence on U.S. Tidal Wetlands

by
Joanne N. Halls
1,*,
Scott H. Ensign
2 and
Erin K. Peck
3
1
Department of Earth and Ocean Sciences, University of North Carolina Wilmington, Wilmington, NC 28403, USA
2
Stroud Water Research Center, Avondale, PA 19311, USA
3
Graduate School of Oceanography, University of Rhode Island, Narragansett, RI 02882, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2025, 17(18), 3130; https://doi.org/10.3390/rs17183130
Submission received: 1 July 2025 / Revised: 25 August 2025 / Accepted: 6 September 2025 / Published: 9 September 2025
(This article belongs to the Special Issue Remote Sensing of Coastal, Wetland, and Intertidal Zones)

Abstract

Tidal wetlands are essential for coastal resilience, biodiversity, and carbon storage; yet, many are increasingly vulnerable to sea-level rise due to insufficient sediment supply. This study presents a national-scale, GIS-based model that quantifies riverine inorganic sediment contributions to tidal wetland accretion across over 700,000 coastal catchments in the contiguous United States. By integrating datasets from USGS, NOAA, and USFWS, the model calculates sediment yield, thickness, and accretion balance, enabling comparison with current sea-level rise projections. Results reveal significant regional disparities: the Northeast and Midwest exhibit higher sediment accumulation, while the Pacific and Southeast show widespread sediment deficits. Spatial statistical analyses identified clusters of high and low sediment supply, highlighting areas of resilience and vulnerability. A total of 93 field sites confirmed the model’s ability to distinguish between riverine-dominated and mixed-source sedimentation regimes. These findings underscore the importance of riverine sediment in sustaining wetland elevation and inform where non-riverine sources may be critical. The model’s outputs have been shared with coastal planners and stakeholders to support local decision-making, conservation prioritization, and adaptation strategies. This work demonstrates both the challenges and fruitfulness of harmonizing disparate national datasets into a unified framework for assessing wetland vulnerability and provides a scalable tool for guiding coastal resilience planning in the face of accelerating sea-level rise.
Keywords: coastal geomorphology; tidal wetlands; riverine sediment; data integration; sea-level rise; predictive model; interdisciplinary GIS coastal geomorphology; tidal wetlands; riverine sediment; data integration; sea-level rise; predictive model; interdisciplinary GIS

Share and Cite

MDPI and ACS Style

Halls, J.N.; Ensign, S.H.; Peck, E.K. A Decision-Support Framework for Evaluating Riverine Sediment Influence on U.S. Tidal Wetlands. Remote Sens. 2025, 17, 3130. https://doi.org/10.3390/rs17183130

AMA Style

Halls JN, Ensign SH, Peck EK. A Decision-Support Framework for Evaluating Riverine Sediment Influence on U.S. Tidal Wetlands. Remote Sensing. 2025; 17(18):3130. https://doi.org/10.3390/rs17183130

Chicago/Turabian Style

Halls, Joanne N., Scott H. Ensign, and Erin K. Peck. 2025. "A Decision-Support Framework for Evaluating Riverine Sediment Influence on U.S. Tidal Wetlands" Remote Sensing 17, no. 18: 3130. https://doi.org/10.3390/rs17183130

APA Style

Halls, J. N., Ensign, S. H., & Peck, E. K. (2025). A Decision-Support Framework for Evaluating Riverine Sediment Influence on U.S. Tidal Wetlands. Remote Sensing, 17(18), 3130. https://doi.org/10.3390/rs17183130

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