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DisMOSH, Cost, MOSHShoreline: Distance to foraging areas for piping plovers (foraging shoreline, cost mask, and least-cost path distance): Cedar Island, VA, 2010–2011

Dates

Publication Date
Time Period
2010

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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CeI10_MOSHShoreline.CPG 5 Bytes
CeI10_MOSHShoreline.dbf 242 Bytes
CeI10_MOSHShoreline.prj 424 Bytes
CeI10_MOSHShoreline.sbn 284 Bytes
CeI10_MOSHShoreline.sbx 132 Bytes
CeI10_MOSHShoreline.shp 17.8 KB
CeI10_MOSHShoreline.shx 228 Bytes
CeI_DisMOSH_Cost_MOSHShoreline_browse.png
“Example of the movement cost (resistance) layer and the least-cost path dista...”
thumbnail 194.53 KB
Extension: CeI10_DisMOSH.zip
CeI10_DisMOSH.tfw 90 Bytes
CeI10_DisMOSH.tif 10 MB
CeI10_DisMOSH.tif.ovr 3.31 MB
CeI10_DisMOSH.tif-ColorRamp.SLD 2.07 KB
Extension: CeI11_Cost.zip
CeI11_Cost.tfw 90 Bytes
CeI11_Cost.tif 2.5 MB
CeI11_Cost.tif.ovr thumbnail 849.84 KB
CeI11_Cost.tif.vat.cpg 5 Bytes
CeI11_Cost.tif.vat.dbf 251 Bytes
CeI11_Cost.tif-ColorRamp.SLD 2.07 KB

Purpose

The distance to foraging layer (CeI10_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 was 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 (CeI11_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 2011 (see data sources below). The movement cost layer was used to calculate the least-cost path distance (CeI10_DisMOSH.tif) to the nearest foraging area (CeI10_MOSHShoreline.shp). The foraging shorelines shapefile (CeI10_MOSHShoreline.shp) delineates foraging shorelines with moist substrates for piping plovers. Foraging areas were determined from elevations measured in 2010 and orthoimagery captured in 2011. 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.

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