Study compared densities of nekton, benthos, and seagrass among newly deposited dredged sediments and nearby and distant natural seagrass sites over a three year period. Recovery of seagrass and nekton communities from dredged material placement was predicted to take from 4-8 years.

Field studies to characterize the alongshore epifauna (shrimp, crabs, echinoderms, and small fishes) along the western shore of southern Biscayne Bay were started in 2005 and then expanded in 2007 as part of the monitoring program of the Comprehensive Everglades Restoration Program (CERP). Species abundance indices (occurrence and density) and community metrics (diversity and other) were examined and followed over time. Relationships to salinity were explored and, as the time series lengthened, Habitat Suitabiity Indices (HSI) in relation to salinity and submerged aquatic vegetation (SAV) could be developed. In 2012, the alongshore epifauna project became integrated three other projects in IBBEAM (Integrated Biscayne Bay Ecological Assessment and Monitoring) and continues to provide feedback for CERP on the effects of CERP project implementations in an adaptive management process. Most recently IBBEAM is monitoring the effects of advance implementations of the Biscayne Bay Coastal Wetlands Project, a component of CERP.

During July and October 1988, a total of 42 samples were collected in salt marsh habitats of the Caminada Bay system near Grand Isle, Louisiana to evaluate the use of the marsh surface by aquatic fauna on flood tide. Differences in animal densities between the marsh surface and nonvegetated marsh edge were compared and evaluated.

This study examined the impact of long-term shifts in water temperature and salinity as a result of climate change on the biomasses of important fisheries species within oyster sanctuary sites in the Choptank and Little Choptank river complex in Chesapeake Bay using an Ecopath with Ecosim food web model. The model was used to evaluate changes in the oyster reef food web, with particular emphasis on impacts to striped bass (Morone saxatilis), blue crab (Callinectes sapidus), and Eastern oysters (Crassostrea virginica). Eight different climate change scenarios were used to vary water temperature and salinity within Chesapeake Bay up to the year 2100 based on projections given by previous studies. The scenarios are as follows: No change: continuation of observed water temperature and salinity High temp: Temperature increase of 4C Low sal: Salinity decrease of 2 ppt High sal: Salinity increase of 12 ppt High temp & low sal: temperature increase of 4C and salinity decrease of 2 ppt High temp & high sal: temperature increase of 4C and salinity increase of 12 ppt Mod sal: salinity increase of 10 ppt High temp & mod sal: temperature increase of 4C and salinity increase of 10 ppt Data from 2006-2016 represent observed measurements, while data spanning 2017-2100 pertain to the future simulations. All values during the observed time period are yearly averages. Variable values for all scenarios (including Observed) are spatially averaged across the study area. The observed biomass measurements were estimated from a variety of sources, including field data for the region, existing models of Chesapeake Bay and a literature review (described in the Knoche et al. 2020 paper). The food web model used in this study was originally developed for the Knoche et al. paper. This study used the existing model to perform climate change simulations.

Provided here are raster geospatial data from five bays along the west coast of the Baja California Peninsula, Mexico (Bahia San Quintin, Laguna Ojo de Liebre, Estero Coyote, Laguna San Ignacio, and Estero San Juanito). The raster data in two folders: 1) "habitat_classifiedRaster_baja_ward": GeoTIFF files characterizing the habitat distribution of seagrass beds, salt marshes, and mangroves, derived from satellite imagery and aerial photomosaics, and 2) "aerialPhotomosaic_baja_ward": the orthorectified aerial photomosiacs used in analysis. At Laguna San Ignacio, Estero Coyote, and Estero San Juanito habitat classification was derived from aerial photos acquired in January 2000. At Laguna Ojo de Liebre habitat classification was derived from Landsat-5 imagery acquired in 1999. At Bahia San Quinitin habitat classification was derived from Spot-1 satellite imagery acquired in 1987 and Landsat-5 imagery acquired in 2000, 2011, and 2014.

Sampled marshes and ponds along two transects within the intermediate and brackish marsh zones of Breton Sound, Louisiana, from May 7-11, 2001. Sampling followed several planned releases of freshwater from the Caernarvon diversion structure during the winter of 2000 and spring of 2001 as part of a larger study to examine the ecological effect of pulsed freshwater releases on the ecosystem.

Humboldt Bay is the largest estuary in California north of San Francisco Bay and represents a significant resource for the north coast region. Beginning in 2007 the Office for Coastal Management began collaborating with the California SeaGrant program and other local partners to support an ecosystem-based management (EBM) project for Humboldt Bay. One element of this project was to develop subtidal habitat goals for the long-term management of the bay and provide a framework for conservation and management across the land-sea interface. The imagery collection and benthic habitat delineation for Humboldt Bay were essential to the development of subtidal goals and implementation of EBM for the region. Together, these efforts will provide important and replicable data and an information framework for ecosystem-based coastal and marine conservation planning and implementation. 12 Bit 4 Band imagery was collected in June,2009 within 1 hour of either side of a minus one (-1) foot tide with low turbidity,low wind,low sun angle and no cloud cover. The horizontal spatial accuracy of the imagery is within +/- 3 meters CE95 of position on the ground and was captured at a spatial resolution (pixel size) of 0.54m x 0.54m. The imagery was tiled and named according to the existing USGS digital ortho quarter quad boundaries (ex. Arcata_South_NE.tif). A small buffer (~100 m) was produced with each tile to prevent gaps in coverage. Habitat features were interpreted and digitized on screen in an ARCGIS Geodatabase 9.3 resulting in accurate and efficient 3D extraction of the data. Habitats were delineated with a high level of detail with the minimum mapping unit (MMU) being 0.01 hectares(approx.10m x 10m). Original contact information: Contact Org: NOAA Office for Coastal Management Phone: 843-740-1202 Email: coastal.info@noaa.gov

Maine's eelgrass (SAV) meadows form an important aquatic habitat for the state. These meadows provide shelter for juvenile fish, and invertebrates. In certain locations they also help stabilize unconsolidated sediments and shorelines. Maine's Department of Marine Resources has mapped the SAV habitat for the entire coast using the Coastal Change Analysis Protocol. This mapping was accomplished from aerial photography acquired between 1993 and 1997. The unified coastal SAV data set is a composite of these multiple year data. The benthic data is classified according to the System for Classification of Habitats in Estuarine and Marine Environments (SCHEME). This system is fully described in "Development of a System for Classification of Habitats in Estuarine and Marine Environments (SCHEME) for Florida, Report to U.S. EPA - Gulf of Mexico Program, Florida Fish and Wildlife Conservation Commission, Florida Marine Research Institute. Review Draft 12/04/02." Original contact information: Contact Org: NOAA Office for Coastal Management Phone: 843-740-1202 Email: coastal.info@noaa.gov

Humboldt Bay is the largest estuary in California north of San Francisco Bay and represents a significant resource for the north coast region. Beginning in 2007 the Office for Coastal Management began collaborating with the California SeaGrant program and other local partners to support an ecosystem-based management (EBM) project for Humboldt Bay. One element of this project was to develop subtidal habitat goals for the long-term management of the bay and provide a framework for conservation and management across the land-sea interface. The imagery collection and benthic habitat delineation for Humboldt Bay were essential to the development of subtidal goals and implementation of EBM for the region. Together, these efforts will provide important and replicable data and an information framework for ecosystem-based coastal and marine conservation planning and implementation. 12 Bit 4 Band imagery was collected in June,2009 within 1 hour of either side of a minus one (-1) foot tide with low turbidity,low wind,low sun angle and no cloud cover. The horizontal spatial accuracy of the imagery is within +/- 3 meters CE95 of position on the ground and was captured at a spatial resolution (pixel size) of 0.54m x 0.54m. The imagery was tiled and named according to the existing USGS digital ortho quarter quad boundaries (ex. Arcata_South_NE.tif). A small buffer (~100 m) was produced with each tile to prevent gaps in coverage. Habitat features were interpreted and digitized on screen in an ARCGIS Geodatabase 9.3 resulting in accurate and efficient 3D extraction of the data. Habitats were delineated with a high level of detail with the minimum mapping unit (MMU) being 0.01 hectares(approx.10m x 10m). Original contact information: Contact Org: NOAA Office for Coastal Management Phone: 843-740-1202 Email: coastal.info@noaa.gov