Data represent an example calculation of ecological suitability for Pensacola and Perdido Bays. Data used are publicly available and are presented as tables, figures and appendices in the published paper. https://doi.org/10.1016/j.ecolind.2023.110896. This dataset is associated with the following publication: Smith, L., E. Reschke, J. Bousquin, L. Cheskiewicz, N. Ilias, J. Summers, and J. Harvey. Methods for a composite ecological suitability measure to inform cumulative restoration assessments in Gulf of Mexico estuaries. ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 154: 1-15, (2023).

This data set comprises the Environmental Sensitivity Index (ESI) and Reach Sensitivity Index (RSI) data for Puerto Rico. ESI data characterize estuarine environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. Most rivers and streams can be readily subdivided into clear-cut segments, or reaches (RSI), that have very distinct and uniform characteristics within that reach of the stream. The definition of reach type is usually based on whatever the intended use of the reach classification might be. In this project, stream reaches are defined as those segments where similar spill-response modes and potential ecological and/or socioeconomic impacts from the spill are to be anticipated. However defined, the boundary of the reach is usually marked by an abrupt change in the morphology of the stream, a change commonly, but not always, brought about by an alteration in the stream's gradient. This data set contains data for habitats.

This data set comprises the Environmental Sensitivity Index (ESI) and Reach Sensitivity Index (RSI) data for Puerto Rico. ESI data characterize estuarine environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. Most rivers and streams can be readily subdivided into clear-cut segments, or reaches (RSI), that have very distinct and uniform characteristics within that reach of the stream. The definition of reach type is usually based on whatever the intended use of the reach classification might be. In this project, stream reaches are defined as those segments where similar spill-response modes and potential ecological and/or socioeconomic impacts from the spill are to be anticipated. However defined, the boundary of the reach is usually marked by an abrupt change in the morphology of the stream, a change commonly, but not always, brought about by an alteration in the stream's gradient. This data set contains sensitive biological resource polygonal data for fish.

This project created a comprehensive guide for management using indicators of five common coastal habitats: salt marsh, mangrove, seagrass, oyster beds/reefs, and coral reefs.

These data include publicly available datasets as well as three-dimensional model simulation data. This dataset is not publicly accessible because: These data are primarily non-EPA generated, and include datasets generated by the University of Edinburgh and The Nature Conservancy. This is a non-EPA led project. It can be accessed through the following means: Data may be available following publication via correspondence with the lead author. Format: Data are multi-faceted and include publicly available datasets as well as model simulation data generated outside EPA. This dataset is associated with the following publication: Zu Ermgazzen, P., J. Gair, B. Jarvis, L. Geselbracht, A. Birch, W. Scheffel, K. Smith, and B. DeAngelis. Using an ecosystem service model to inform restoration planning: A spatially explicit oyster filtration model for Pensacola Bay, Florida. Conservation Science and Practice. John Wiley & Sons, Inc., Hoboken, NJ, USA, 6(2): e13061, (2024).

This project will evaluate the importance of Sargassum as a nursery habitat for fish in the northern Gulf of Mexico.

This data set contains human-use or management resource data for aquaculture sites, artificial reefs, recreational fishing sites, and water intakes in Florida Panhandle. Vector points in this data set represent resource management features. Location specific type and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. This data set comprises a portion of the ESI data for Florida. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. See also the RESOURCE_POLY and RESOURCE_LINE data layers, part of the larger Florida Panhandle ESI database, for additional resource management information.

This data set contains sensitive biological resource data for marine, estuarine, anadromous, and freshwater fish species in Columbia River. Vector polygons in this data set represent locations of fish distribution, concentration areas, spawning areas, and salmon spawning runs. Species specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer.This data set comprises a portion of the Environmental Sensitivity Index (ESI) data for Columbia River. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. See also the FISHL (Fish Lines) data layer, part of the larger Columbia River ESI database, for additional fish information.

This data set contains sensitive biological resource data for marine, estuarine, anadromous, and freshwater fish species in Maryland. Vector polygons in this data set represent fish distribution, concentration areas, and spawning areas. Species specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer.This data set comprises a portion of the Environmental Sensitivity Index (ESI) data for Maryland. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.