20260617 11282500 1.0 TRUE EssentialFishHabitats This web service contains the following data layers: 1) Essential Fish Habitat (EFH) polygons for all 39 species under Federal management in the Mid-Atlantic and Northeast. It was developed for general visualization and informational purposes only, 2) EFH Highly Migratory Species dataset is an aggregation of numerous Essential Fish Habitat (EFH) spatial data products for Highly Migratory Species (HMS), which are fish such as tuna, sharks, and swordfish that live and migrate throughout the Atlantic Ocean and Gulf of Mexico. The National Oceanic and Atmospheric Administration (NOAA) National Marine Fisheries Service (NMFS) manages HMS under the Magnuson-Stevens Fishery Conservation and Management Act. Please refer to each layer's metadata documentation for more information. Essential Fish Habitats EFH MARCO This web service contains the following data layers: 1) Essential Fish Habitat (EFH) polygons for all 39 species under Federal management in the Mid-Atlantic and Northeast. It was developed for general visualization and informational purposes only, 2) EFH Highly Migratory Species dataset is an aggregation of numerous Essential Fish Habitat (EFH) spatial data products for Highly Migratory Species (HMS), which are fish such as tuna, sharks, and swordfish that live and migrate throughout the Atlantic Ocean and Gulf of Mexico. The National Oceanic and Atmospheric Administration (NOAA) National Marine Fisheries Service (NMFS) manages HMS under the Magnuson-Stevens Fishery Conservation and Management Act. Please refer to each layer's metadata documentation for more information. NOAA; Analysis and data produced by The Nature Conservancy; web services published by the MARCO Portal Data published to web services for MARCO Portal application visualization 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