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  3. Sea level rise scenarios for the Cape Sable seaside sparrow

Sea level rise scenarios for the Cape Sable seaside sparrow

Dates

Publication Date
Start Date
1965
End Date
2066

Citation

Romañach, S.S., Haider, S.M., and Benscoter, A.M., 2022, Sea level rise scenarios for the Cape Sable seaside sparrow: U.S. Geological Survey data release, https://doi.org/10.5066/P9KJDZXZ.

Summary

The endangered Cape Sable seaside sparrow (Ammospiza maritima mirabilis; CSSS) occurs in marl prairie habitat at the southern end of the Everglades, at the southernmost part of the Florida peninsula. The locations of three of its six subpopulations are proximate to the coast, putting them at risk for inundation caused by sea level rise (SLR). The spatially explicit predictive model EverSparrow provides probability of CSSS presence estimates based on hydrology, fire history, and vegetation. We developed two hydrologic scenarios of SLR using projections from the U.S. Army Corps of Engineers (USACE) and University of Florida's GeoPlan Center, using a modeled restoration scenario of the current landscape-scale water operations affecting [...]

Contacts

Point of Contact :
Saira M Haider
Process Contact :
Saira M Haider
Originator :
Stephanie S Romanach, Saira M Haider, Allison M Benscoter
Metadata Contact :
Saira M Haider
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
SDC Data Owner :
Wetland and Aquatic Research Center
USGS Mission Area :
Ecosystems

Attached Files

Click on title to download individual files attached to this item.

SeaLevelRiseScenarios_CSSS.xml
Original FGDC Metadata
View 		28.72 KB application/fgdc+xml
bayes_wPA_betas.txt 853.25 KB text/plain
compare_scenarios.R 7.38 KB text/x-rsrc
create_hydrometrics.R 14.64 KB text/x-rsrc
csss_standardization_wPA.csv 744 Bytes text/csv
CSSS_subpops2021.zip 17.63 KB application/zip
run_eversparrow.R 12.63 KB text/x-rsrc
SLR_scenario.R 7.03 KB text/x-rsrc
Extension: Zip File
csss_probability_NA22f.nc 295.46 MB
Extension: Zip File
csss_probability_SLR_USACE_High.nc 295.46 MB
Extension: Zip File
csss_probability_SLR_USACE_Int.nc 295.46 MB

Purpose

Habitats are shifting as a result of climate change and SLR but are not likely to shift wholly intact and may not keep up with the pace of climatic change. Predictive ecological models can help decision makers understand how species are likely to respond to change and then adjust management actions to align with desired future conditions. Incorporating potential impacts from SLR into restoration planning should benefit the CSSS and its habitat near the coast. These predicted probability of presence GIS layers are applicable for estimating the potential impact from SLR inundation and future probability of CSSS presence in current CSSS habitat.

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Communities

  • USGS Data Release Products
  • USGS Wetland and Aquatic Research Center

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Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9KJDZXZ

NetCDF OPeNDAP Service Extension

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NetCDF OPeNDAP Service Extension

files
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NetCDF OPeNDAP Service Extension

files
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long_namegrid_mapping_name = "transverse_mercator"
namecsss_probability
unitsunits = "probability of presence"
long_name_FillValue = NaN

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