Digital elevation model outputs from wetland accreting rate model of ecosystem resilience (WARMER) at ten year intervals from 2010-2110. Baseline elevations were collected with RTK GPS units and LiDAR elevations in non-surveyed areas were also corrected using LEAN method. Historical accretion rates were collected at each salt marsh and used to parameterize WARMER, predicting future elevations. These data support the following publication: Rosencranz, J.A., Lafferty, K.D., Thorne, K.M., Buffington, K.J., Takekawa, J.Y., Hechinger, R.F., Stewart, T.E., Ambrose, R.F., MacDonald, G.M., 2018, Sea-level rise, habitat loss, and potential extirpation of a salt marsh specialist bird in urbanized landscapes XXXXXXXXXX

We report on 5 years of vegetation and hydrologic monitoring of two locations where a total of 600-m of shallow (0.15–0.30-m in diameter and depth) runnels were installed in 2015 and 2016 to enhance drainage, in the Pettaquamscutt River Estuary, in southern Rhode Island, United States. Results from this Before-After Control-Impact (BACI) designed study found that runnel installation successfully promoted plant recolonization, although runnels did not consistently promote increases in high marsh species presence or diversity. This dataset is not publicly accessible because: EPA is not the owner of this data. It can be accessed through the following means: All data is available as Supplementary Material in journal article. Inquiries can be directed to the corresponding author. Format: All data is available as Supplementary Material in journal article. Inquiries can be directed to the corresponding author. This dataset is associated with the following publication: Watson, E., W. Ferguson, L. Champlin, J. White, N. Ernst, H. Sylla, B. Wilburn, and C. Wigand. Runnels mitigate marsh drowning in microtidal salt marshes. Frontiers in Environmental Science. Frontiers, Lausanne, SWITZERLAND, 10: 987246, (2022).

This dataset consists of raster geotiff outputs from modeling vertical accretion and carbon accumulation in the Nisqually River Delta, Washington, USA. These rasters represent projections of future habitat type, change in surface elevation above Mean Sea Level, and total sediment carbon accumulation since 2011 in coastal wetland habitats. Projections were generated in 20-year increments for 100 years for five amounts of sea-level rise, three amounts of suspended sediment concentrations, and two alternative configurations of the U.S. Interstate-5 causeway as it crosses the Nisqually River to either prevent or allow inland habitat migration (a total of 30 scenarios). The full methods and results are described in detail in the parent manuscript, “Can coastal habitats rise to the challenge? Resilience of estuarine habitats, carbon accumulation, and its value to sea-level rise for adaptation planning in a Puget Sound estuary” (2022).

This dataset consists of raster geotiff outputs from modeling vertical accretion and carbon accumulation in the Nisqually River Delta, Washington, USA. These rasters represent projections of future habitat type, change in surface elevation above Mean Sea Level, and total sediment carbon accumulation since 2011 in coastal wetland habitats. Projections were generated in 20-year increments for 100 years for five amounts of sea-level rise, three amounts of suspended sediment concentrations, and two alternative configurations of the U.S. Interstate-5 causeway as it crosses the Nisqually River to either prevent or allow inland habitat migration (a total of 30 scenarios). The full methods and results are described in detail in the parent manuscript, “Can coastal habitats rise to the challenge? Resilience of estuarine habitats, carbon accumulation, and its value to sea-level rise for adaptation planning in a Puget Sound estuary” (2022).

As sea levels rise, wetlands can adapt to changing conditions through vertical development (that is, soil surface elevation gains via biophysical feedbacks) and horizontal migration into upslope areas. Elevation-based models of wetland transformation from sea-level rise are often hampered from a variety of sources of uncertainty, including contemporary elevation and water levels and future water levels from sea-level rise. This data release includes geospatial data products that utilize Monte Carlo simulations to address these sources of uncertainty and highlight potential wetland transformations under various relative sea-level rise scenarios along Texas' middle and upper coast. This data release includes the current extent of coastal wetlands and decadal maps of coastal wetland transformation from 2030–2100 for three relative sea-level rise scenarios — Intermediate-low, Intermediate, and Intermediate-high — from an interagency sea-level rise report published in 2022 (Sweet and others, 2022). Datasets in this release include the following classes: 1) Upslope (that is, areas that are above the National Oceanographic and Atmospheric Administration’s (NOAA) moderate high tide flooding threshold; Sweet and others, 2022); 2) Irregularly oceanic-flooded wetlands (that is, wetlands that are flooded by oceanic water less frequently than daily [that is, below the NOAA moderate high tide flooding threshold and above the mean high water datum]); 3) Regularly oceanic-flooded wetlands (that is, wetlands that are flooded by oceanic water daily [that is, below the mean high water datum and above the mean lower low water datum] and generally fell in the upper two-thirds of this wetland zone based on elevation); 4) Converting to open water (that is, wetlands that are flooded by oceanic water daily [that is, below the mean high water datum and above the mean lower low water datum] and generally fell in the lower third of this wetland zone based on elevation; 5) Converted to open water (that is, areas where the decade of initiation for coastal wetland drowning has passed and have been in the “converting to open water” class for at least 50 years); 6) Low-lying, developed (that is, areas that fall in elevation ranges for wetland classes [that is, regularly oceanic-flooded wetlands, regularly oceanic-flooded wetlands, and converting to open water], but are located within developed areas); 7) Low-lying, leveed (that is, areas that fall in elevation ranges for wetland classes [that is, regularly oceanic-flooded wetlands, regularly oceanic-flooded wetlands, and converting to open water], but are located within levees); and 8) Low-lying, developed and leveed (that is, areas that fall in elevation ranges for wetland classes [that is, regularly oceanic-flooded wetlands, regularly oceanic-flooded wetlands, and converting to open water], but are located within levees or developed areas). Incorporating soil elevation change processes into wetland transformation models can be complex because soil elevation change processes can vary over space and time. In the past decade, there has been growing consensus regarding critical sea-level rise rate thresholds for the onset of wetland drowning (Morris and others, 2016, Horton and others, 2018, Saintilan and others, 2020, Törnqvist and others, 2020, Buffington and others, 2021, Saintilan and others, 2022, Saintilan and others, 2023). Here, our products utilize information from an analysis of when and where sea-level rise rates could cross thresholds for initiating coastal wetland drowning across the conterminous United States. The thresholds included are 4 mm/year, 7 mm/year, and 10 mm/year (see discussion in Osland and others, 2024). For this approach, we determined the relative sea-level rise rate by decade for watersheds within the study area. The decade that these rates exceeded one of these thresholds (that is, 4 mm/year, 7 mm/year, and 10 mm/year) marked the initiation of coastal wetland drowning. In other

These data were used to quantify land area change in a wetlands possible zone of coastal wetlands during a 1985-2020 observation period. The datasets presented in this data release represent annual median estimates of the fractional amount of land, floating aquatic vegetation, submerged aquatic vegetation, and water per Landsat pixel. These data are intended for coarse-scale analysis of wetland change area. The datasets are summarized by 10-digit Hydrologic Unit Code (HUC10), and land area change through time is fit using a penalized regression smooth spline. The trends are therefore generalized in time and are intended to present coarse scale observations of trends in wetland area change.

We characterized coastal wetland responses to flooding stress by measuring vegetation cover, wetland elevation and water elevation in healthy and degrading wetlands dominated by Spartina patens. Wetland elevation was measured using real-time kinematic survey methods. Vegetation cover was determined by visual estimation methods, and water elevation was measured using in situ continuous recorders. In addition to these local-scale responses, we also measured landscape-scale patterns of land and water aggregation or fragmentation using remotely sensed data (Jones et al., 2018). Associated products: Jones, W.R., Hartley, S.B., Stagg, C.L., and Osland, M.J. 2018. Land-water classification for selected sites in McFaddin NWR and J.D. Murphree WMA: U.S. Geological Survey data release, https://doi.org/10.5066/F7736Q51.

This data release contains land cover-derived statistics regarding estuarine vegetated wetland area change within estuary drainage areas along the conterminous U.S. This dataset includes net change in estuarine vegetated wetland area based on National Oceanic and Atmospheric Administration's (NOAA) Coastal Change Assessment Program (C-CAP) 1996 and 2016 land cover data. Net change was assessed between estuarine vegetated wetlands (i.e., estuarine marshes, mangroves, non-mangrove estuarine woody wetlands, and salt pannes, depending on vegetation coverage and type) and the following other landcover classes: 1) water; 2) unconsolidated shore; 3) freshwater woody wetlands; 4) freshwater marsh; 5) upland; and 6) agriculture. An estuarine vegetated wetland change scenario was assigned to each region depending on different combinations of positive and negative net change in some of these classes which describes how land building, transgression, or tidal restoration compare to estuarine vegetated wetland loss. This dataset also includes relative statistics of change compared to estuarine vegetated wetland and estuary area.

Monitoring shoreline change is of interest in many coastal areas because it enables quantification of land loss over time. Evolution of shoreline position is determined by the balance between erosion and accretion along the coast. In the case of salt marshes, erosion along the water boundary causes a loss of ecosystem services, such as habitat provision, carbon storage, and wave attenuation. In terms of vulnerability, higher shoreline erosion rates indicate higher vulnerability. This dataset displays shoreline change rates at the Edwin B. Forsythe National Wildlife Refuge (EBFNWR), which spans over Great Bay, Little Egg Harbor, and Barnegat Bay in New Jersey, USA. Shoreline change rates are based on Smith and Terrano (2017) analysis of digital vector shorelines acquired from historic topographic sheets, aerial photography, and/or lidar using the AMBUR package (Jackson, 2010). Linear Regression Rates (LRR) of shoreline change were averaged along the shoreline of each salt marsh unit to generate this dataset. Positive and negative values indicate accretion and erosion respectively. As part of the Hurricane Sandy Science Plan, the U.S. Geological Survey is expanding National Assessment of Coastal Change Hazards and forecast products to coastal wetlands. The intent is to provide federal, state, and local managers with tools to estimate their vulnerability and ecosystem service potential. For this purpose, the response and resilience of coastal wetlands to physical factors need to be assessed in terms of the ensuing change to their vulnerability and ecosystem services. EBFNWR was selected as a pilot study area.

We assessed the resilience of wetlands to sea-level rise along a transitional gradient from tidal freshwater forested wetland (TFFW) to oligohaline marsh by measuring processes controlling wetland elevation. We identified fundamental differences in how resilience is maintained across wetland community types, which have important implications for management activities that aim to restore or conserve resilient systems.