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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...
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This data release documents socioeconomic and water demand indicators for the Mekong River delta region. The Mekong River provides many valuable benefits to the 60 million Southeast Asian residents living in its Basin. Maintaining adequate supplies of water in the Mekong River Basin is vital for food security. However, the Mekong River Basin is increasingly stressed by infrastructure development, growing water demands, and land cover change, in addition to climate change. Freshwater demands and the capacity to respond to changing resource availability were estimated to assess vulnerability to changes in water availability in provinces of the Mekong River delta region along the Cambodia-Vietnam border. Water demands...
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EverSparrow is a spatially explicit Bayesian model of Cape Sable Seaside Sparrow (Ammospiza maritima mirabilis; CSSS) presence that quantifies the interdependent relationships between a range of environmental factors and CSSS presence. Using hydrologic conditions such as mean 4-year hydroperiod and maximum depth, fire occurrence history, and vegetation structure throughout the range of CSSS, EverSparrow provides weekly probabilities of CSSS presence on a 400 x 400 m grid. Here we provide the modeling scripts used to develop EverSparrow (including the frequentist model developed and included in the ensemble model), the validation scripts, a script to run the EverSparrow model and create predicted surfaces of CSSS...
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Since its inception, the Everglades Depth Estimation Network (EDEN) has used the High Accuracy Elevation Dataset (HAED) digital elevation model (DEM) to provide scientists and managers with continuous water depth surfaces, derived from interpolated water stage, on a 400 X 400 meter grid. A new, high resolution LiDAR-based DEM is available through a collaboration between Everglades National Park (ENP) and the U.S. Geological Survey (USGS) 3D Elevation Program (3DEP). This new DEM covers the southern part of the EDEN extent, including a large area of ENP and a portion of southeast Big Cypress National Preserve. It is provided at a resolution of 0.5 meters but contains data voids in surface water areas where the LiDAR...


    map background search result map search result map EverSparrow model scripts and outputs Digital Elevation Model (DEM) at 50 m resolution for the Everglades Depth Estimation Network (EDEN) Sea level rise scenarios for the Cape Sable seaside sparrow Socioeconomic and water needs indicators along the Cambodia and Vietnam border, within the Mekong River Delta Digital Elevation Model (DEM) at 50 m resolution for the Everglades Depth Estimation Network (EDEN) Sea level rise scenarios for the Cape Sable seaside sparrow EverSparrow model scripts and outputs Socioeconomic and water needs indicators along the Cambodia and Vietnam border, within the Mekong River Delta