points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Cape Lookout, NC, 2014
Dates
Publication Date
2019-12-20
Time Period
2014
Citation
Sturdivant, E.J., Zeigler, S.L., Gutierrez, B.T., and Weber, K.M., 2019, Barrier island geomorphology and shorebird habitat metrics–Sixteen sites on the U.S. Atlantic Coast, 2013–2014: U.S. Geological Survey data release, https://doi.org/10.5066/P9V7F6UX.
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 [...]
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 models and the training data used to parameterize those models. This data release contains the extracted metrics of barrier island geomorphology and spatial data layers of habitat characteristics that are input to Bayesian networks for piping plover habitat availability and barrier island geomorphology. These datasets and models are being developed for sites along the northeastern coast of the United States. This work is one component of a larger research and management program that seeks to understand and sustain the ecological value, ecosystem services, and habitat suitability of beaches in the face of storm impacts, climate change, and sea-level rise.
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calo14_pts_trans_ubw_meta.xml Original FGDC Metadata
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application/fgdc+xml
calo14_pts.csv
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text/csv
extractor_calo14.ipynb
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pts_trans_browse.png “Example view (A) of the 5-m points (black), which follow the cross-shore tran...”
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Shapefile:
calo_trans.zip
calo_trans.cpg
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calo_trans.dbf
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calo_trans.prj
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calo_trans.sbn
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calo_trans.sbx
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calo_trans.shp
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calo_trans.shx
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calo14_ubw.zip
calo14_ubw.tif
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calo14_ubw.tif.vat.dbf
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calo14_ubw.tif-ColorRamp.SLD
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Related External Resources
Type: Related Primary Pubication
Zeigler, S.L., Sturdivant, E.J., and Gutierrez, B.T., 2019, Evaluating barrier island characteristics and piping plover (Charadrius melodus) habitat availability along the U.S. Atlantic coast—Geospatial approaches and methodology: U.S. Geological Survey Open-File Report 2019–1071, https://doi.org/10.3133/ofr20191071.
Zeigler, S.L., Gutierrez, B.T., Sturdivant, E.J., Catlin, D.H., Fraser, J.D., Hecht, A., Karpanty, S.M., Plant, N.G., and Thieler, E.R., 2019, Using a Bayesian network to understand the importance of coastal storms and undeveloped landscapes for the creation and maintenance of early successional habitat: PLoS ONE, v. 14, no. 7, e0209986, https://doi.org/10.1371/journal.pone.0209986.
These data provide samples of barrier island characteristics for use in Bayesian networks to model geomorphology and shorebird nesting habitat condition and change. Transects spaced every 50 m alongshore from the National Assessment of Shoreline Change (NASC; calo_trans.shp) were extended and supplemented to use as the base sampling unit to compile and sample barrier island characteristics. Attributes are provided at 5-m sample points (calo14_pts.csv) along each transect and include both values extracted for the entire transect and values extracted at each point. The attributes in the points file can be aggregated by transect and joined to the transect features by the field sort_ID. The beach width values calculated for each transect are also provided as a spatially continuous raster (calo14_ubw.tif). See Zeigler and others (2019) for additional details.
Preview Image
Example view (A) of the 5-m points (black), which follow the cross-shore tran...