Zafer Defne Neil K. Ganju Kate V. Ackerman 20260521 1.0 Vector Digital Data Set (Polygon) data release DOI:10.5066/P13IBTSL Woods Hole Coastal and Marine Science Center, Woods Hole, MA U.S. Geological Survey, Coastal and Marine Hazards and Resources Program https://doi.org/10.5066/P13IBTSL https://www.sciencebase.gov/catalog/item/69ca8f3fb66b01c9d4896e50 Kate V. Ackerman Zafer Defne Neil K. Ganju 2026 1.0 vector digital data data release DOI:10.5066/P13IBTSL Reston, VA U.S. Geological Survey Suggested citation: Ackerman, K.V., Defne, Z., and Ganju, N.K., 2026, Geospatial characterization of Delaware Bay-facing New Jersey salt marshes: U.S. Geological Survey data release, https://doi.org/10.5066/P13IBTSL. https://doi.org/10.5066/P13IBTSL https://www.sciencebase.gov/catalog/item/69ab4009b66b01cd2fd126e0 This data release contains coastal wetland synthesis products for the Delaware Bay-facing New Jersey salt marshes. Metrics for resiliency, including the unvegetated to vegetated ratio (UVVR), marsh elevation, tidal range, and lifespan, are calculated for smaller units delineated from a digital elevation model, providing the spatial variability of physical factors that influence wetland health. The U.S. Geological Survey has been expanding national assessment of coastal change hazards and forecast products to coastal wetlands with the intent of providing federal, state, and local managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. 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. The purpose of this shapefile is to present lifespan estimates for each marsh unit in Delaware Bay-facing New Jersey salt marshes. The lifespan calculation is based on estimated sediment supply and sea-level rise (SLR) predictions after Ganju and others (2020). Sea level predictions are local estimates which correspond to the 0.3, 0.5, and 1.0 meter increase in Global Mean Sea Level (GMSL) scenarios by 2100 from Sweet and others (2022). Ganju, N.K., Defne, Z., and Fagherazzi, S., 2020, Are elevation and open-water conversion of salt marshes connected?, Geophysical Research Letters, https://doi.org/10.1029/2019GL086703. Sweet, W.V., Hamlington, B.D., Kopp, R.E., Weaver, C.P., Barnard, P.L., Bekaert, D., Brooks, W., Craghan, M., Dusek, G., Frederikse, T., Garner, G., Genz, A.S., Krasting, J.P., Larour, E., Marcy, D., Marra, J.J., Obeysekera, J., Osler, M., Pendleton, M., Roman, D., Schmied, L., Veatch, W., White, K.D., and Zuzak, C., 2022, Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean Projections and Extreme Water Level Probabilities Along U.S. Coastlines. NOAA Technical Report NOS 01. National Oceanic and Atmospheric Administration, National Ocean Service, Silver Spring, MD, 111 pp. https://sealevel.globalchange.gov/internal_resources/756/noaa-nos-techrpt01-global-regional-SLR-scenarios-US.pdf 2026 publication date Complete None -75.564126 -74.798014 39.765378 38.964539 ISO 19115 Topic Category oceans inlandWaters environment elevation USGS Thesaurus geospatial datasets wetland ecosystems wetland functions coastal ecosystems coastal processes sea-level change sediment transport estuarine processes vegetation None salt marsh marsh health estuary lifespan USGS Metadata Identifier USGS:69ca8f3fb66b01c9d4896e50 GNIS Delaware Bay State of New Jersey None United States Dennis Creek Wildlife Management Area Heislerville Wildlife Management Area Egg Island Fish and Wildlife Management Area Fortescue Wildlife Management Area Nantuxent Wildlife Management Area New Sweden Wildlife Management Area Dix Wildlife Management Area Mad Horse Creek Wildlife Management Area Abbotts Meadow Wildlife Management Area Supawna Wildlife Management Area Salem River Wildlife Management Area No access constraints. Please see 'Distribution Information' for details. These data are marked with a Creative Commons CC0 1.0 Universal License. These data are in the public domain and do not have any use constraints. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations. The lifespan estimate for each marsh unit is defined for scientific research purposes and should not be used as a sole source of reference for any regulations and policy making. Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. Please recognize the U.S. Geological Survey as the source of this information. U.S. Geological Survey Zafer Defne Oceanographer mailing and physical address

384 Woods Hole Road

Woods Hole MA 02543 508-548-8700 x2254 508-457-2310 zdefne@usgs.gov https://www.sciencebase.gov/catalog/file/get/69ca8f3fb66b01c9d4896e50?name=Lifespan_NJ_BAY_Browse.png&allowOpen=true Graphic of shapefile showing lifespan estimates for Delaware Bay-facing New Jersey salt marshes. PNG Environment as of Metadata Creation: Microsoft Windows 11; Esri ArcGIS Pro 3.4.3 N.K. Ganju Z. Defne S. Fagherazzi 2020 publication Geophysical Research Letters v. 47, issue 3 https://doi.org/10.1029/2019GL086703 J.T. Morris D.C. Barber J.C. Callaway R. Chambers S.C. Hagen C.S. Hopkinson B.J. Johnson P. Megonigal S.C. Neubauer T. Troxler C. Wigand 2016 publication Earth’s Future v. 4, issue 4 https://doi.org/10.1002/2015EF000334 W.V. Sweet B.D. Hamlington R.E. Kopp C.P. Weaver P.L. Barnard D. Bekaert W. Brooks M. Craghan G. Dusek T. Frederikse G. Garner A.S. Genz J.P. Krasting E. Larour D. Marcy J.J. Marra J. Obeysekera M. Osler M. Pendleton D. Roman L. Schmied W. Veatch K.D. White C. Zuzak 2022 1.0 Silver Spring, MD NOAA https://oceanservice.noaa.gov/hazards/sealevelrise/sealevelrise-tech-report-sections.html Marsh units, and water and land boundaries, inherit their horizontal accuracy from the accuracy of the source data, Delaware Bay-facing New Jersey marsh units. The vertical accuracy of the marsh unit elevation is inherited from the USGS DEM (1m). The uncertainty in the lifespan estimates is large because of the nature of the empirical equations used and the uncertainty in the source data. For example, a 20% variation in each of the unvegetated to vegetated marsh ratio (UVVR), elevation, bulk density and sea-level rise variables, when all in favor of reducing lifespan, may result in a combined reduction of 50% in lifespan estimate. Negative lifespan indicates the estimated lifespan is depleted and loss is imminent. Some flagged units (see description for the FLG variable) are assigned a lifespan estimate of -9999. The marsh polygons are bound to the borders of New Jersey's estuarine intertidal areas that include: 1) emergent wetlands, 2) scrub-shrub areas, 3) rooted vascular aquatic beds, 4) organic unconsolidated shores, and 5) channels of open water that are narrower than 10 meters. Occasionally, marsh units are retained in this dataset even though the imagery displayed extreme change (e.g., partially or completely converted to water) from the NWI wetland delineation (e.g., marsh units 14296, 14394). In a few locations, there may be areas that that are classified as unvegetated but are in fact very sparsely vegetated. A detailed on-the-ground analysis of a single site may result in a different interpretation of the wetland and marsh unit boundaries than those established through this analysis. Horizontal accuracy is inherited from the source layer, the conceptual marsh units, and is considered to be +/-6 meters. Because the elevation values are averaged over delineated polygons, vertical accuracy of marsh unit elevation depends on both the horizontal accuracy of the National Wetlands Inventory (NWI) dataset and the vertical accuracy of source elevation data (USGS DEM (1m)). The vertical accuracy is inherited from the source elevation dataset; it is reported to be less than or equal to 0.30 meters. No additional accuracy assessment of the vertical accuracy has been conducted. K.V. Ackerman Z. Defne N.K. Ganju 2026 vector digital dataset (polygon) data release DOI:10.5066/P13IBTSL Reston, VA U.S. Geological Survey This dataset (Elevation of marsh units in Maine salt marshes) is within the larger data release (Geospatial characterization of Delaware Bay-facing New Jersey salt marshes). The first link below is to the elevation data and the second link is to the data release. https://www.sciencebase.gov/catalog/item/657b3ee2d34e952b2274bb36 https://doi.org/10.5066/P13IBTSL digital 2026 publication date mu_elev_NJ_Bay.shp Used the marsh unit elevation (MU_ELEV) and vegetated fraction elevation (VG_ELEV) as inputs. Projection was WGS 1984 Web Mercator Auxiliary Sphere. K.V. Ackerman Z. Defne N.K. Ganju 2026 vector digital dataset (polygon) data release DOI:10.5066/P13IBTSL Reston, VA U.S. Geological Survey This dataset (Unvegetated to vegetated ratio of marsh units in Delaware Bay-facing New Jersey salt marshes) is within the larger data release (Geospatial characterization of Delaware Bay-facing New Jersey salt marshes). The first link below is to the UVVR data and the second link is to the data release. https://www.sciencebase.gov/catalog/item/657b3f0cd34e952b2274bb3d https://doi.org/10.5066/P13IBTSL digital 2026 publication date mu_UVVR_NJ_Bay.shp Used the unvegetated to vegetated ratio (UVVR) as input. Projection was WGS 1984 Web Mercator Auxiliary Sphere. This process step and subsequent process steps were performed by the same person, Zafer Defne, using ArcGIS Pro (ver. 3.4.3). In this and all process steps, for simple operations the name of the geoprocessing tool used is given in capital letters; for complex operations, the name of the geoprocessing tool used is given in capital letters and any critical parameters used are given in parentheses, separated by a semicolon, immediately after the tool name. The input and output file names are provided in [square brackets] when necessary. Units for length and area calculations are meters (m) and square meters (m^2) unless otherwise stated. a) Join the elevation (mu_elev_NJ_Bay.shp) and UVVR (mu_UVVR_NJ_Bay.shp) datasets to create one shapefile with both datasets in it. b) Convert the coordinate system from Web Mercator to the North American Datum of 1983 (NAD 1983) geographic coordinate system and add the coordinates for polygon centroids (X_POINT, Y_POINT) in decimal degrees to the data table using CALCULATE_GEOMETRY_ATTRIBUTES tool. c) Export the following variables to a comma separated values file [NJ_mu.csv]: X_POINT, Y_POINT, FID_CMU, UVVR, ATOT_M2, AVEG_M2, mu_ELEV, vg_ELEV, FLG. mu_elev_NJ_Bay mu_UVVR_NJ_Bay 2026 NJ_mu.csv U.S. Geological Survey Zafer Defne Oceanographer mailing and physical address

384 Woods Hole Road

Woods Hole MA 02543 508-548-8700 x2254 508-457-2310 zdefne@usgs.gov This processing step was performed using VDatum online (VDatum ver. 4.8) and a Python script. Convert datums and calculate lifespan. a) Convert marsh unit elevations from the North American Vertical Datum of 1988 (NAVD88) to Mean Tide Level (MTL) referenced elevations. Input the ASCII file of latitude and longitude coordinates and elevation from NJ dataset (NJ_mu.csv) to VDatum software, and transform vertical datum from the NAVD88 to MTL. Do this for the marsh unit elevation (MU_ELEV) and elevation of the vegetated part of the marsh unit (VG_ELEV) to calculate MU_ELEV_MTL and VG_ELEV_MTL, respectively. Use value from the nearest Vdatum point for any point where VDatum has no data. b) Calculate sediment budget from UVVR based on Ganju and others (2020) with SB=-0.416*log(UVVR)-1.0749, where SB is sediment budget in kilograms per square meter per year, and log() indicates natural logarithm function. c) Calculate total sediment flux under background relative SLR (BGRND) with SF=SB*ATOT_M2, where SF is sediment flux in kilograms per year and ATOT_M2 is total surface area of marsh unit in square meters. d) Calculate total sediment flux under global mean sea level (GMSL) scenarios (for example, GMSL03 scenario means GMSL rise of 0.3 meters). SLR reduces vegetated marsh area, therefore, causes reduction in sediment flux. The sediment flux under SLR is calculated with SF_SLR=(SB-SLR_RATE*RHO_F)*ATOT_M2, where SF_SLR is sediment flux under SLR, RHO_F is dry bulk density of future deposited sediment. RHO_F was assigned 159 kilograms per cubic meters from Morris and others (2016). SLR_RATE is the SLR rate, calculated as SLR_RATE=(RSL2100+RSL_OFFSET)/100-RSL_VLM, where RSL2100 is the relative sea level by 2100 under a global mean sea level rise scenario, RSL_OFFSET is the offset to initiate the projection at year 2000, and RSL_VLM is the relative sea level contribution from vertical land motion. For sea level rise projections, Sweet and others (2022) SLR data within the region were used. A total of 23 points including 14 stations and 9 grid points were within the bounding box with lower left corner of (37.9953N, -76.4816W) and upper right corner of (40.7006N, -74.0000W). Interpolate the SLR_RATE from 23 points over a regular grid using SciPy Griddata function with linear interpolation (grid size by 25 longitudinal by 27 latitudinal points). Assign to each marsh unit the interpolated SLR_RATE value from the nearest grid point. Do this for the three scenarios considered: GMSL rise of 0.3 meters, 0.5 meters and 1.0 meters by year 2100 and calculate sediment flux for each of them. e) Total sediment mass in the vegetated plain above MTL is calculated with TS=vg_ELEV_MTL*AVEG_M2*RHO_E, where TS is total sediment mass, AVEG_M2 is the surface area of the vegetated part of the marsh unit and RHO_E is the dry bulk density of existing marsh substrate sediment. RHO_E was assigned 373 kilograms per cubic meters from Morris and others (2016). f) Calculate lifespan (in years) for the background relative SLR with the equation BGRND= -TS/SF. Calculate lifespan (in years) for global mean sea level rise by 0.3 meters, 0.5 meters and 1.0 meters by year 2100 scenarios with the equation GMSL= -TS/SF_SLR for each scenario (GMSL03, GMSL05, GMSL10, respectively). g) Output Python data as a comma separated text file [NJ_lifespan.csv]. NJ_mu.csv 2026 NJ_lifespan.csv This processing step was performed using ArcGIS Pro (ver. 3.4.3). Finalize the shapefile and change projection. a) JOIN lifespan calculation results file [NJ_lifespan.csv] with the marsh unit features using ADD_JOIN and join field as FID_CMU. b) For marshes that are more stable, lifespan calculation sometimes results in large numbers that are far beyond the lifespan horizon of interest. Also, positive sediment budget implies unlimited lifespan. For these units, set the maximum lifespan value to 10,000 years. c) Set lifespan values to -9999 for units with no vegetated area or with missing elevation values (FLG values that contain any of -1 or -200 values in them) so that they can be labeled as not available or excluded while plotting the data. d) Set legend label for lifespan values less than 0 as imminent. e) Rearrange field names and change the projection for better performance of web services with online base maps. PROJECT(Input coordinate system= NAD 1983 Geographic coordinate system; Output coordinate system=WGS 1984 Web Mercator Auxiliary Sphere; Geographic transformation= WGS 1984 (ITRF00) to NAD 1983) the shapefile to obtain the lifespan values [mu_lifespan_NJ_Bay.shp]. NJ_lifespan.csv 2026 mu_lifespan_NJ_Bay.shp Vector G-polygon 7368 WGS 1984 Web Mercator Auxiliary Sphere (Esri Full Name: WGS_1984_Web_Mercator_Auxiliary_Sphere) 0.0 0.0 0.0 0.0 coordinate pair 0.6096 0.6096 meters D_WGS_1984 WGS_1984 6378137.0 298.257223563 mu_lifespan_NJ_Bay.shp Attribute Table Table containing attribute information associated with the dataset. USGS FID Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Feature geometry. Esri Feature geometry. Marsh units are polygon features. FID_CMU Unique whole numbers used to identify each conceptual marsh unit. These FID_CMU values begin at a value that is one greater than the ending FID_CMU value in the dataset of lifespan values for E.B. Forsythe NWR and Atlantic-facing New Jersey salt marshes, so that the datasets can be combined, if desired. USGS 10512 17879 none ATOT_M2 Total surface area of a marsh unit in square meters. USGS 18.31969 2104231.06995 square meter AVEG_M2 Surface area of vegetated part of a marsh unit in square meters. USGS 0.0 1661070.64984 square meter MU_ELEV Mean elevation of a marsh unit in meters referenced to NAVD88. If the percent hydro-flattened area is greater than 25 percent, the marsh unit elevation is set to -9999 indicating insufficient elevation data. USGS -9999 No Data USGS -0.98244 3.47963 meter MU_ELEVMTL Mean elevation of a marsh unit in meters referenced to mean tide level (MTL). USGS -9999 No Data USGS -0.982 3.553 meter VG_ELEV Mean elevation of the vegetated area in a marsh unit in meters referenced to NAVD88. If there is no vegetated area in the marsh unit, the value is set to -9999. Also, if the percent hydro-flattened area in the vegetated portion is greater than 25 percent, the value is set to -9999 indicating insufficient elevation data. USGS -9999 No Data USGS -0.98252 3.49343 meter VG_ELEVMTL Mean elevation of the vegetated area in a marsh unit in meters referenced to MTL. Value is set to -9999 if there is no vegetated area in the marsh unit. USGS -9999 No Data USGS -0.983 3.566 meter UVVR Ratio of unvegetated surface area to vegetated surface area. Ordinarily, UVVR ranges from zero (completely vegetated) to infinity (completely unvegetated). However, it is assigned the value of -1 when completely unvegetated. USGS -1.0 1329.81309 none BGRND Lifespan for a marsh unit (in years) for nonclimatic background relative sea level rise. Negative lifespan (other than No Data) indicates the estimated lifespan is depleted and loss is imminent. A value of 10000 indicates a lifespan that is beyond the lifespan horizon of interest. USGS -9999 No Data USGS 10000 Value greater than or equal to 10000 USGS -1279 10000 year GMSL03 Lifespan for a marsh unit (in years) for global mean sea level rise of 0.3 meters by 2100. Negative lifespan (other than No Data) indicates the estimated lifespan is depleted and loss is imminent. A value of 10000 indicates a lifespan that is beyond the lifespan horizon of interest. USGS -9999 No Data USGS 10000 Value greater than or equal to 10000 USGS -5829 10000 year GMSL05 Lifespan for a marsh unit (in years) for global mean sea level rise of 0.5 meters by 2100. Negative lifespan (other than No Data) indicates the estimated lifespan is depleted and loss is imminent. A value of 10000 indicates a lifespan that is beyond the lifespan horizon of interest. USGS -9999 No Data USGS 10000 Value greater than or equal to 10000 USGS -2288 10000 year GMSL10 Lifespan for a marsh unit (in years) for global mean sea level rise of 1.0 meters by 2100. Negative lifespan (other than No Data) indicates the estimated lifespan is depleted and loss is imminent. A value of 10000 indicates a lifespan that is beyond the lifespan horizon of interest. USGS -9999 No Data USGS 10000 Value greater than or equal to 10000 USGS -5531 10000 year FLG Marsh unit flag indicating anomalous marsh units based on absence of vegetation, elevation, surface area and tidal range extrapolation. FLG values indicate: (-1) no vegetated area in the marsh unit; (-10) marsh unit elevation higher than the 99.8 percentile; (-100) marsh unit elevation less than the 0.2 percentile; (-200) greater than 25 percent of the marsh unit elevation is hydro-flattened; (-1000) marsh unit surface area less than 900 m^2; (-10000) mean tidal range of marsh unit is extrapolated; and (0) no flag. Combination of negative values indicates a combination of flags. For example, -1001 indicates no vegetated area and area less than 900 m^2. USGS -11200 0 None In this dataset, lifespan estimates for each conceptual salt marsh unit in the Delaware Bay-facing New Jersey salt marsh systems have been calculated based on the 1-meter resolution raster source dataset. Decimal values in the attribute table are a result of double precision calculations while significant digits are considered in defining the attribute measurement resolutions. Therefore, the smallest unit increment for area values and elevation is assumed to be 1 meter and 0.01, respectively. USGS U.S. Geological Survey - ScienceBase mailing and physical address

Denver Federal Center, Building 810, Mail Stop 302

Denver CO 80225 1-888-275-8747 sciencebase@usgs.gov mu_lifespan_NJ_Bay.zip (ZIP file contains the shapefile mu_lifespan_NJ_Bay.shp and the additional shapefile components), a browse graphic, and FGDC CSDGM metadata in xml format. Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. The USGS or the U.S. Government shall not be held liable for improper or incorrect use of the data described and/or contained herein. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Not for navigational use. Shapefile ArcGIS Pro 3.4.3 This zipped file contains a polygon shapefile and its components, and metadata in xml format. 61 https://www.sciencebase.gov/catalog/file/get/69ca8f3fb66b01c9d4896e50 https://www.sciencebase.gov/catalog/item/69ca8f3fb66b01c9d4896e50 https://doi.org/10.5066/P13IBTSL The first link in network resources is to download data directly. The second link points to a landing page with metadata and data. The third link is to the main page of the data release. None. No fees are applicable for obtaining the data set. 20260521 U.S. Geological Survey Zafer Defne Oceanographer mailing and physical address

384 Woods Hole Road

Woods Hole MA 02543 508-548-8700 x2254 508-457-2310 whsc_data_contact@usgs.gov The metadata contact email address is a generic address in the event the person is no longer with USGS. FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998