Filters: System Type: Data Release (X) > Categories: NOT Data Release - In Progress (X) > Tags: {"scheme":"Common geographic areas"} (X) > Extensions: NetCDF OPeNDAP Service (X)
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Restoration of the Florida Everglades, a substantial wetland ecosystem within the United States, is one of the largest ongoing restoration projects in the world. Decision-makers and managers within the Everglades ecosystem rely on ecological models forecasting indicator wildlife response to changes in the management of water flows within the system. One such indicator of ecosystem health, the presence of wading bird communities on the landscape, is currently assessed using three species distribution models that assume perfect detection and report output on different scales that are challenging to compare against one another. We sought to use current advancements in species distribution modeling to improve models...
Categories: Data;
Types: NetCDF OPeNDAP Service;
Tags: Ecology,
Everglades,
Southern Florida,
USGS Science Data Catalog (SDC),
USGS-EMA-LOW-MR Landscape Ecology,
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...
Categories: Data;
Types: NetCDF OPeNDAP Service;
Tags: Ecology,
Everglades,
Everglades National Park,
Florida,
Southern Florida,
Climate change information simulated by global climate models is downscaled using statistical methods to translate spatially course regional projections to finer resolutions needed by researchers and managers to assess local climate impacts. Several statistical downscaling methods have been developed over the past fifteen years, resulting in multiple datasets derived by different methods. We apply a simple monthly water-balance model (MWBM) to demonstrate how the differences among these datasets result in disparate projections of snow loss and future changes in runoff. We apply the MWBM to six statistically downscaled datasets for 14 general circulation models (GCMs) from the Climate Model Intercomparison Program...
Categories: Data;
Types: NetCDF OPeNDAP Service;
Tags: BCCA,
BCSD,
Climatology,
Contiguous United States,
LOCA,
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