Data

The primary habitats for insular mole skinks in Florida are sand beaches, beach berms, and dunes, making them particularly vulnerable to sea level rise (SLR) and storm surge. We used the most recent SLR projections, high resolution lidar-based digital elevation models, a combination of a comprehensive land cover and hand-digitized aerial imagery, and the latest storm surge simulations to predict t

This U.S. Geological Survey (USGS) data release represents data for the creation of a spatially explicit Bayesian network model that predicts Brown Pelican nests on islands across the U.S. portion of the Gulf of Mexico. Well-targeted management plans are needed to achieve Brown Pelican population objectives (number of breeding pairs) because conservation and restoration opportunities are limited a

This dataset contains measurements of water quality parameters (temperature, salinity, specific conductance, dissolved oxygen, and pH) and concentrations of dissolved organic carbon (DOC), dissolved inorganic carbon (DIC), and particulate organic carbon (POC) in canals of Jean Lafitte National Historical Park and Preserve (hereafter, the Park) during wet and dry seasons in 2022 and 2023. Four fiel

This dataset includes elevation-based probability and depth statistics for estimating inundation under various sea-level rise and high tide flooding scenarios in and around the National Park Service’s Big Cypress National Preserve. For information on the digital elevation model (DEM) source used to develop these datasets refer to the corresponding spatial metadata file (Danielson and others, 2023)

To study the long-term effects of hydrology and salinity on the health of these systems, we fitted dendrometer bands on selected trees in permanent forest productivity plots established between 2004 and 2006 within six baldcypress stands. Three of these stands were in freshwater sites permanently or seasonally flooded with low salinity (0.1-1.3 ppt), while the other three are affected by tide and

Recent data syntheses have clarified future relative sea-level rise exposure and sensitivity thresholds for drowning. We integrated these advances to estimate when and where rising sea levels could cross thresholds for initiating wetland drowning across the conterminous United States. We evaluated three sea-level rise thresholds for wetland drowning (4, 7, and 10 mm/yr). Our study area spans the c

A set of experiments was conducted to determine the dietary clothianidin exposures that cause prepupal mortality in the absence of other adverse effects. Monarch larvae were raised from hatch to pupae on clothianidin contaminated swamp milkweed plants. Larval growth, larval survival, and prepupal survival were monitored throughout the experiments in which the exposures ranged from 1.4 – 2,793.1 ng

Vertical accuracy of elevation data in coastal environments is critical because small variations in elevation can affect an area’s exposure to waves, tides, and storm-related flooding. Elevation data contractors typically quantify the vertical accuracy of digital elevation models (DEMs) developed using light detection and ranging data acquisition on a per-project basis to gauge whether the dataset

This dataset includes elevation-based probability and depth statistics for estimating inundation under various sea-level rise and high tide flooding scenarios in and around the National Park Service’s De Soto National Memorial. These datasets were developed using 1-m digital elevation model (DEM) from the 3D Elevation program. This data release includes results from analyses of two local sea-level

This dataset is comprised of times, locations, and water temperatures collected from iridium satellite tags attached to 11 loggerhead sea turtles between 2019 and 2021.

This dataset includes probabilistic outputs for estimating areal coverage of current wetland coverage and potential wetland migration under various relative sea-level rise scenarios in Nassau and Duval Counties, which includes the City of Jacksonville and the U.S. National Park Service's Timucuan Ecological and Historic Preserve. These data contain potential migration for regularly oceanic-flooded

High-resolution elevation data provide a foundational layer needed to understand regional hydrology and ecology under contemporary and future-predicted conditions with accelerated sea-level rise. While the development of digital elevation models (DEMs) from light detection and ranging data has enhanced the ability to observe elevation in coastal zones, the elevation error can be substantial in den