Shoreline change rates in salt marsh units in Edwin B. Forsythe National Wildlife Refuge, New Jersey

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.

Data and Resources

Field Value
accessLevel public
bureauCode {010:12}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
datagov_dedupe_retained 20220721212438
identifier USGS:59a427efe4b077f005673271
metadata_type geospatial
modified 20200807
old-spatial {"type": "Polygon", "coordinates": [[[-74.484623118, 39.435117592], [-74.484623118, 40.053798801], [ -74.051158122, 40.053798801], [ -74.051158122, 39.435117592], [-74.484623118, 39.435117592]]]}
publisher U.S. Geological Survey
publisher_hierarchy Department of the Interior > U.S. Geological Survey
resource-type Dataset
source_datajson_identifier true
source_hash 84f6282a5ab258909442f0af1fcde9d4c9dc8cb0
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-74.484623118, 39.435117592], [-74.484623118, 40.053798801], [ -74.051158122, 40.053798801], [ -74.051158122, 39.435117592], [-74.484623118, 39.435117592]]]}
theme {geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • accretion
  • amerigeo
  • amerigeoss
  • atlantic-ocean
  • barnegat-bay
  • ckan
  • coastal-ecosystems
  • coastal-processes
  • coastline
  • ecological-processes
  • edwin-b-forsythe-national-wildlife-refuge
  • environment
  • environmental-assessment
  • estuary
  • geo
  • geoss
  • great-bay
  • inlandwaters
  • little-egg-island
  • marsh-health
  • national
  • new-jersey
  • north-america
  • oceans
  • polygon-shapefile
  • resilience
  • salt-marsh
  • sediment
  • shoreline
  • united-states
  • usgs-59a427efe4b077f005673271
  • vegetation
  • vulnerability
  • wetland-ecosystems
  • wetland-functions
isopen False
license_id notspecified
license_title License not specified
maintainer Zafer Defne
maintainer_email zdefne@usgs.gov
metadata_created 2025-11-21T01:31:46.826086
metadata_modified 2025-11-21T01:31:46.826090
notes 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.
num_resources 2
num_tags 35
title Shoreline change rates in salt marsh units in Edwin B. Forsythe National Wildlife Refuge, New Jersey