Data

This data release includes information and metrics for evaluating the geomorphic state of barrier islands and headlands along coastal Louisiana. Specifically, these data are: 1) subaerial land coverage; 2) vegetated area coverage; 3) subaerial volume to area ratio from publicly available light detection and ranging (lidar) elevation data; 4) inundation extent (i.e., maps) for high tide...

Ecological models facilitate evaluation of alternative approaches to restore the Greater Everglades ecosystem. However, the provision of useful and accessible models is a challenge because there is often a disconnect between model output and its use by decision makers. Joint Ecosystem Modeling (JEM) meets this challenge by providing ecological model output tailored to management...

Dataset of common themes that arose from semi-structured interviews with members of REstoration, COordination, and VERification (RECOVER), an interdisciplinary group of agencies, tribes, and institutions that conduct scientific evaluations and assessments to improve the implementation of the Comprehensive Everglades Restoration Plan (CERP). The interviews centered on the ability and...

Vegetation cover and surface elevation data were collected in restored marshes at the J.D. Murphree Wildlife Management Area in Texas, USA. Data were collected in late April and early May of 2024. Data were collected in 0.25 m² plots strategically placed along habitat transition zones between cover classes. Cover classes, listed from lowest to highest mean surface elevation, included...

This dataset contains water quality data collected in the Mississippi Sound before (pre) and after (post) barrier island restoration of Cat and Ship Island, Mississippi. The barrier island restoration included sand placement which has the potential to alter water quality conditions within the Mississippi Sound estuary. Therefore, water quality monitoring was conducted at five...

The Everglades Vulnerability Analysis (EVA) is a series of connected, modular Bayesian networks that predict the response of several Everglades indicators of ecosystem health to changes in hydrology, salinity, and the landscape. We created a soil depth layer for use in the sawgrass peat module by using universal kriging to estimate soil depth at a 400-meter resolution for individual...

Monthly surface water samples were collected at sites in the Lake Pontchartrain estuary to assess the phytoplankton biomass and composition using algal pigment analysis. A total of 27 algal pigments including chlorophyll a and accessory pigments were evaluated from each of the water samples.

Infinity water level recorders were installed in 2004 to monitor hydrologic conditions in five freshwater forested wetlands in Louisiana: Bayou Chevreuil, Bayou Teche National Wildlife Refuge, Mandalay National Wildlife Refuge, Jean Lafitte National and Historical Park, and Treasure Island. Hourly measurements were collected continuously on a 24- hour basis through April 2022, producing...

This software release contains the R code to jointly run an integrated population model (IPM) and Bayesian population viability analysis (BPVA) for the Cape Sable Seaside Sparrow (CSSS; Ammospiza maritima mirabilis). The CSSS is a federally endangered bird endemic to a small part of the Everglades in southern Florida, USA. The IPM-BPVA synthesizes thirty years (1992-2021) of range-wide...

We monitored breeding birds at Whiskey Island, Louisiana between March through July from 2015 to 2020. We surveyed all available habitat by foot, using high-powered spotting scopes and binoculars to search for and identify nesting birds. We documented species, abundance, habitat, location, and breeding behavior for each bird that we observed to be breeding. We modeled the counts of...

The data in this dataset were collected during a full-day workshop in Berkeley Springs, West Virginia on 6 November 2019 with experts from multiple states within the wood turtle range using a modified version of the Investigate Discuss Estimate Aggregate (IDEA) protocol. Most of the workshop was focused on eliciting demographic rates for wood turtles for constructing a matrix population...

This data release includes outputs that were created using Monte Carlo simulations with the aim to reduce elevation overestimation in coastal wetlands at Grand Bay, MS. We evaluated the performance of coastal wetland elevation refinement by using bare earth digital elevation models (DEMs) and DEMs created from the last return from the light detection and ranging (lidar) point cloud...