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Dataset Overview | National Centers for Environmental Information (NCEI)

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’).
  • Cite as: McEachron, Lucas; Le Hénaff, Matthieu; Otis, Dan (2019). 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). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/rfds-mj82. Accessed [date].
gov.noaa.nodc:0205678
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Distributor NOAA National Centers for Environmental Information
+1-301-713-3277
NCEI.Info@noaa.gov
Dataset Point of Contact NOAA National Centers for Environmental Information
ncei.info@noaa.gov
Time Period 1994-01-01 to 2016-12-01
Spatial Bounding Box Coordinates
West: -82.1008666021
East: -80.0568666021
South: 24.4030157112
North: 25.8142157112
Spatial Coverage Map
General Documentation
Associated Resources
  • 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.
  • Evaluation of Gulf of Mexico oceanographic observation networks impact assessment on ecosystem management and recommendation
  • National Centers for Coastal Ocean Science, 2019: RESTORE Sponsored Research Project: Evaluation of Gulf of Mexico oceanographic observation networks impact assessment on ecosystem management and recommendation, https://www.fisheries.noaa.gov/inport/item/57433.
  • NOAA Southeast Fisheries Science Center (SEFSC) Reef Visual Census (RVC) R library
  • Ecopath with Ecosim (EwE)
Publication Dates
  • publication: 2019-12-03
Data Presentation Form Digital table - digital representation of facts or figures systematically displayed, especially in columns
Dataset Progress Status Complete - production of the data has been completed
Historical archive - data has been stored in an offline storage facility
Data Update Frequency As needed
Supplemental Information
Submission Package ID: 5EYC6R
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.
Use Limitations
  • accessLevel: Public
  • Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives.
Dataset Citation
  • Cite as: McEachron, Lucas; Le Hénaff, Matthieu; Otis, Dan (2019). 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). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/rfds-mj82. Accessed [date].
Cited Authors
Principal Investigators
Collaborators
Contributors
Resource Providers
Points of Contact
Publishers
Acknowledgments
  • Related Funding Agency: US DOC; NOAA; NOS; NCCOS; RESTORE Science Program
  • Related Funding Agency: NOAA National Centers for Coastal Ocean Science
  • Related Funding Agency: NOAA RESTORE Science Program under award NA15NOS4510226 to the University of Miami
Theme keywords NODC DATA TYPES THESAURUS NODC OBSERVATION TYPES THESAURUS WMO_CategoryCode
  • oceanography
Global Change Master Directory (GCMD) Science Keywords NCCOS Keywords
  • NCCOS Sponsored Research > RESTORE Science Program
  • RESTORE Research Data Type > Model
Provider Keywords
  • Diet
  • Environmental Modeling
  • Landings
Scientific Keywords
  • Ecopath with Ecosim (EwE)
Data Center keywords NODC COLLECTING INSTITUTION NAMES THESAURUS NODC SUBMITTING INSTITUTION NAMES THESAURUS Global Change Master Directory (GCMD) Data Center Keywords
Place keywords NODC SEA AREA NAMES THESAURUS Global Change Master Directory (GCMD) Location Keywords NCCOS Location Keywords
  • RESTORE Research Location > Region > Gulf of Mexico
  • RESTORE Research Location > U.S. States and Territories > Florida
Provider Location Keywords
  • Coastal Ocean
Project keywords Provider Project Names
  • NOAA RESTORE Science Program: Observing Systems and Ecosystem Management
Keywords NCEI ACCESSION NUMBER
Use Constraints
  • Cite as: McEachron, Lucas; Le Hénaff, Matthieu; Otis, Dan (2019). 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). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/rfds-mj82. Accessed [date].
Access Constraints
  • Use liability: NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose.
Fees
  • In most cases, electronic downloads of the data are free. However, fees may apply for custom orders, data certifications, copies of analog materials, and data distribution on physical media.
Lineage information for: dataset
Processing Steps
  • 2019-12-03T16:00:22Z - NCEI Accession 0205678 v1.1 was published.
Output Datasets
Lineage information for: dataset
Processing Steps
  • 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..
  • Parameter or Variable: Landings (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: Florida Fish and Wildlife Conservation Commission (2015) - NOAA Marine Recreational Information Program and the Florida Fish and Wildlife Conservation Commission (FWC) dependent monitoring trip ticket program for Monroe County. See “Methods” for more details.; Data Quality Method: See “Methods” for more details..
  • 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..
  • Parameter or Variable: CHLOROPHYLL A (calculated); Units: mg m-3; Observation Category: model output; Sampling Instrument: Models/Analyses > Data Analysis > Environmental Modeling; Sampling and Analyzing Method: Data source: MODIS AQUA CHL and SeaWiFS CHL. See “Methods” for more details.; Data Quality Method: See “Methods” for more details..
  • Parameter or Variable: TEMPERATURE - WATER [WATER TEMPERATURE] (calculated); Units: degrees Celsius; Observation Category: model output; Sampling Instrument: Models/Analyses > Data Analysis > Environmental Modeling; Sampling and Analyzing Method: Data source: MODIS AQUA SST. See “Methods” for more details.; Data Quality Method: See “Methods” for more details..
Last Modified: 2023-12-20T14:19:37Z
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