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title: 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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abstract: 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’).
purpose: The project “Evaluation of Gulf of Mexico oceanographic observation networks, impact assessment on ecosystem management and recommendations” aims at evaluating how oceanographic observations of the Gulf of Mexico can support ecosystem management. This is performed by the combined use of modeling and observations. Our focus area is the Florida Keys, which are influenced by the Gulf of Mexico conditions and host a large National Marine Sanctuary where ecosystem management is essential. Comprehensive science needs in South Florida call for tools to assess the effectiveness of marine protected areas (MPAs) and inform exploited species management. We constructed a 36-trophic group ecosystem model for managed portions of the Florida Reef Tract and used the Ecospace spatio-temporal model framework to evaluate different model outcomes due to changing the size of MPAs, varying rates of movement via modeled diffusion, and increasing fishing effort. Additionally, the recent expansion of spatio-temporal capabilities in Ecospace enabled us to evaluate ecosystem scenarios in the context of functional responses to dynamic and static environmental covariates. The data in this accession were funded by the NOAA RESTORE Science Program under award NA15NOS4510226 to the University of Miami.
credit: Related Funding Agency: US DOC; NOAA; NOS; NCCOS; RESTORE Science Program
credit: Related Funding Agency: NOAA National Centers for Coastal Ocean Science
credit: Related Funding Agency: NOAA RESTORE Science Program under award NA15NOS4510226 to the University of Miami
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title: Le Henaff, Matthieu; Kang, HeeSook; Kourafalou, Villy (2019). RESTORE Research: Evaluation of Gulf of Mexico oceanographic observation networks, impact assessment on ecosystem management and recommendations: Simulated Current Velocity, Temperature, Salinity, and Elevation from Hydrodynamic Modeling for 2015 (NCEI Accession 0194303). NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/yv1b-7b75.
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description: Parameter or Variable: BIOMASS (calculated); Units: tons/km2; Observation Category: model output; Sampling Instrument: Models/Analyses > Data Analysis > Environmental Modeling; Sampling and Analyzing Method: Aggregated by trophic group per year and averaged over a 2,151 km2 area representing the sampling domain of the Florida Reef Tract from the Boca Grande Channel to Miami; Data source: Brandt et al. (2009) - South Florida Reef Fish Visual Census Program. See “Methods” for more details.; Data Quality Method: See “Methods” for more details..
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description: Parameter or Variable: Diet (calculated); Units: proportion; Observation Category: model output; Sampling Instrument: Models/Analyses > Data Analysis > Environmental Modeling; Sampling and Analyzing Method: Data source: Opitz (1996) and Randall (1967). See “Methods” for more details.; Data Quality Method: See “Methods” for more details..
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