Quantifying Changes along Mainland Marshes in the Virginia Coast Reserve, 1957-2011: GIS data
收藏DataCite Commons2025-10-29 更新2026-05-03 收录
下载链接:
https://portal.edirepository.org/nis/mapbrowse?packageid=knb-lter-vcr.196.13
下载链接
链接失效反馈官方服务:
资源简介:
This dataset contains data that quantifies the long-term rate of change in the shoreline position along seaside mainland marshes of the Virginia Coast Reserve between 1957 and 2009. It also contains data that delineates potential areas available for future marsh transgression under three different sea level rise scenarios based on current land use and elevation data.
Shoreline position was determined for ten individual mainland marsh sites 3-4 km in length, plus the full length of the mainland marsh edge along the entire seaside length of the peninsula, based on aerial imagery from 1957, 1966, 1989, 2002, and 2009. The ten marsh sites (north to south) were at Gargathy Bay, Cedar Island Bay, Hummock Cove, Wachapreague, North Matulakin Marsh, Short and Long Prong Marshes, Crabbing Marsh, Oyster, Mockhorn Bay, and Marion Scott Cove.
Metrics of the rate of change were determined using the Digital Shoreline Analysis System (DSAS), an ArcGIS extension (Thieler et al., 2009). Given the digitized shorelines and a parallel baseline as inputs, DSAS creates evenly-spaced transects perpendicular to the baseline and calculates the rate of shoreline change using a variety of methods, including the End Point Rate (EPR), linear regression rate (LRR), and various iterative and weighted linear regressions. Statistics for these regressions are included in the transect and summary point attribute data.
Areas potentially suitable for future marsh transgression based on land use were determined based on 2005 NOAA Coastal Change Analysis Program (CCAP) data and consisted of upland and wetland areas currently in forest or scrub/shrub cover and adjacent to existing marshes. The acreage of these potential marsh areas that could be inundated and unavailable for marsh transgression under three different sea level rise scenarios was also determined based on elevation data from 2010 LiDAR surveys (see VCRLTER dataset VCR12194).
Data on sediment grain size characteristics from the field collection portion of this study (2011) are not included with this GIS dataset; however, they are included in the companion VCRLTER dataset "Quantifying Changes along Mainland Marshes in the Virginia Coast Reserve, 1957-2011: tabular data" (VCR12191).
提供机构:
Environmental Data Initiative
创建时间:
2020-06-08



