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NCCOS Assessment: An Aquaculture Opportunity Atlas for the U.S. Gulf of Mexico (NCEI Accession 0285913)
Shapefiles of the Aquaculture Opportunity Area (AOA) study developed during 2021 for the Gulf of Mexico. Included in this dataset are: (1) Study areas in the Gulf of Mexico developed based on depth, jurisdictional boundaries, and Level III biogeographical breaks. (2) Compiled observations of Harmful Algal Blooms (Karina brevis) from 2000 to 2018 in the Gulf of Mexico and eastern Florida. (3) Suitability modeling results for the West, Central, East, and Southeast Gulf of Mexico study areas are presented as categories (“Unsuitable,” “Low,” “Moderate,” “High”) based on ocean use and conservation concerns, including: national security, natural and cultural resources, industry, navigation, transportation, aquaculture, and fishing. (4) High-High clusters (HH) identified as the most suitable areas from LISA (Local Index of Spatial Association) analysis. (5) Refined HH clusters that could accommodate at least one 500-acre AOA option. (6) Highest ranking options for each of the refined HH clusters representing a 500- to 2000-acre area between 50 to 150 meters depth that has relatively high suitability for generalized marine aquaculture based on a within cluster model evaluating logistics, vessel traffic, commercial fishing, and oceanography data. (7) Location and areal extent of options identified for each study region meeting a dispersion rule (greater than 30 nautical miles distance between locations).
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NCCOS Assessment: An Aquaculture Opportunity Atlas for the Southern California Bight (NCEI Accession 0286986)
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Shapefiles of the Aquaculture Opportunity Area (AOA) study developed during 2021 for the Southern California Bight. Included in this dataset are: (1) Study areas in the Southern California Bight developed based on depth and jurisdictional boundaries. Four study areas were identified (North, Central North, Central South, South). (2) Suitability modeling results for the North, Central North, Central South, and South Southern California Bight study areas are presented as categories (“Unsuitable,” “Low,” “Moderate,” “High”) (3) High-High clusters (HH) from the Aquaculture Opportunity Atlas for Southern California. Clusters were identified within each of the four study areas (North, Central North, Central South, and South). (4) Refined High-High clusters (HH) from the Aquaculture Opportunity Atlas for Southern California. Clusters were identified within each of the four study areas (North, Central North, Central South, and South). (5) Options from the Aquaculture Opportunity Atlas for Southern California. Options were identified within two of the study areas, North and Central North.
NOAA RESTORE Science Program: ecosystem modeling to improve fisheries management in the Gulf of Mexico: model inputs and outputs for the US Gulf-wide model, 1980-01-01 to 2016-12-31 (NCEI Accession 0243116)
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This dataset is a collection of files containing the necessary inputs to, and relevant outputs from, the U.S. Gulf-wide ecosystem model, developed using the Ecopath with Ecosim (EwE) modeling software package. The spatial extent of the model is 25°-30.5° N and -81° to -97.3° W and hindcast simulations were run in Ecosim from 1980 (the Ecopath snapshot year) to 2016 at a monthly timestep. Input parameters for Ecopath include biomass, consumption, mortality, diet, landings, and discards for 78 functional groups included in the model. Each input or output parameter type is included as its own csv file with informative names.
NCCOS Assessment: Modeled Distribution of sand shoals of the Gulf of Mexico and US Atlantic Coast (NCEI Accession 0221906)
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The sand shoals (modeled) polygons represent the hypothesized distribution of sand shoals of the Gulf of Mexico and US Atlantic Coast based on seafloor characteristics and distance to shoreline variables. Defined by Rutecki et al. (2014), a sand shoal is "a natural, underwater ridge, bank, or bar consisting of, or covered by, sand or other unconsolidated material, resulting in shallower water depths than surrounding areas." In the dataset, attributes characterize shoals with a classification scheme developed with a basis in the Coastal and Marine Ecological Classification Standard (CMECS).
NOAA RESTORE Science Program: Evaluation of Gulf of Mexico oceanographic observation networks, impact assessment on ecosystem management and recommendations: Spatio-Temporal Ecosystem Modeling (NCEI Accession 0205678)
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This dataset includes outputs from an ecosystem model, which is a tool for regional science managers to explore marine spatial planning scenarios in the context of static and dynamic environmental covariates. The dataset includes predicted fish biomass from the Ecopath with Ecosim and Ecospace model set up over the Florida Reef Tract, during eight scenarios and across 36 trophic groups during the time period between 1994 and 2012. Simulations considered all pairwise combinations of changing the size of Marine Protected Areas (‘existing MPAs’, ‘large MPAs’), varying rates of movement via modeled diffusion (‘low diffusion’, ‘high diffusion’), and increasing fishing effort (total effect multiplier; ‘low TEM’, ‘high TEM’).
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