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Development: Development delineation: Edwin B. Forsythe NWR, NJ, 2012

Dates

Publication Date
Start
2012-10-31
End
2012-11-06

Citation

Sturdivant, E.J., Zeigler, S.L., Gutierrez, B.T., and Weber, K.M., 2019, Barrier island geomorphology and shorebird habitat metrics–Four sites in New York, New Jersey, and Virginia, 2010–2014: U.S. Geological Survey data release, https://doi.org/10.5066/P944FPA4.

Summary

Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated into predictive [...]

Contacts

Attached Files

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EF_Development_browse.png
“Example polygons depicting human development and coastal armoring at Edwin B....”
thumbnail 37.33 KB
Shapefile: EF12_Development.zip
EF12_Development.CPG 5 Bytes
EF12_Development.dbf 535 Bytes
EF12_Development.prj 421 Bytes
EF12_Development.sbn 812 Bytes
EF12_Development.sbx 156 Bytes
EF12_Development.shp 42.39 KB
EF12_Development.shx 636 Bytes

Purpose

The vector layer delineates areas of human development. Polygons were hand-digitized from 0.35-m aerial imagery captured in 2012 and outline areas of general human development (for example, buildings, residential development, paved roads) as well as coastal armoring (for example, jetties and groins). The data was used in vector format during a supervised land cover classification and converted to raster format to be merged with other land cover sub-classifications, producing the supervised classification raster layer (EF12_SupClass.tif in larger work). This dataset is part of a series of spatial datasets used to describe characteristics of barrier islands found along the North American Atlantic coast in order to identify habitat for the federally protected piping plover (Charadrius melodus). Information contained in these spatial datasets was used within a Bayesian network to model the probability that a specific set of landscape characteristics would be associated with piping plover habitat (Zeigler and others 2019).

Additional Information

Shapefile Extension

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