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DisMOSH, Cost, MOSH_Shoreline: Distance to foraging areas for piping plovers including foraging shoreline, cost mask, and least-cost path distance: Cobb Island, VA, 2014

Dates

Publication Date
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 [...]

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Attached Files

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Cobb14_Cost.tif 2.5 MB image/geotiff
Cobb14_Cost.tif.vat.dbf 251 Bytes application/unknown
Cobb14_MOSH_Shoreline.CPG 5 Bytes text/plain
Cobb14_MOSH_Shoreline.dbf 126 Bytes application/unknown
Cobb14_MOSH_Shoreline.prj 424 Bytes text/plain
Cobb14_MOSH_Shoreline.sbn 228 Bytes x-gis/x-shapefile
Cobb14_MOSH_Shoreline.sbx 124 Bytes x-gis/x-shapefile
Cobb14_MOSH_Shoreline.shp 6.21 KB x-gis/x-shapefile
Cobb14_MOSH_Shoreline.shx 180 Bytes x-gis/x-shapefile
DisMOSH_cei_browse.png
“Example movement cost layer and least-cost path distance to low-energy foragi...”
thumbnail 194.53 KB image/png
Extension: Cobb14_DisMOSH.zip
Cobb14_DisMOSH.tif 5 MB
Cobb14_DisMOSH.tif.vat.dbf 58.83 KB
Cobb14_DisMOSH.tif-ColorRamp.SLD 2.07 KB

Purpose

The distance to foraging layer (Cobb14_DisMOSH.tif) identifies the least-cost path distance for a piping plover chick to travel from the center of each 5x5 m grid cell to low-energy foraging areas with moist substrates. The distance to foraging data were used within a Bayesian network to model the probability that a specific set of landscape characteristics would be associated with piping plover habitat. The movement cost layer (Cobb14_Cost.tif) identifies barriers to the movement of piping plover chicks, with barriers including water, human development, and moderate to dense vegetation. A value of 1 indicates possibility of movement and 99,999 indicates a barrier to movement. Barriers were identified using orthoimagery captured in 2014 (see data sources below). The movement cost layer was used to calculate the least-cost path distance (Cobb14_DisMOSH.tif) to the nearest foraging area (Cobb14_MOSH_Shoreline.shp). The foraging shorelines shapefile (Cobb14_MOSH_Shoreline.shp) delineates foraging shorelines with moist substrates for piping plovers. Foraging areas were determined from elevations measured in 2014 and orthoimagery captured in 2014. Here, foraging shorelines are defined as low-energy and could include the shorelines of sound- or bay-side beaches, interior ponds, and ephemeral pools. Ocean shorelines were not considered low-energy foraging shorelines. See Zeigler and others (2019) for additional details.

Additional Information

Raster Extension

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