Biomass estimates of Witch Flounder in the Gulf of St. Lawrence (NAFO 4RST)

Biomass estimates of Witch Flounder in the Gulf of St. Lawrence (NAFO 4RST) PURPOSE: Determine the stock status of Gulf of St. Lawrence Witch Flounder. DESCRIPTION: The yearly biomass estimates of Gulf of St. Lawrence Witch Flounder were obtained using a Bayesian Schaefer Surplus Production model as part of the stock assessment to year 2021. The yearly estimates presented come from Markov Chain Monte Carlo (MCMC) simulations. The yearly median estimates are provided, along with uncertainty estimates (2.5th, 25th, 75th and 97.5th percentiles). The values are in thousands of tons of 30+ cm biomass. USE LIMITATIONS: To ensure scientific integrity and appropriate use of the data, we would encourage you to contact the data custodian. 2024-05-31 Fisheries and Oceans Canada DFO.GLFCSA-CASGLF.MPO@dfo-mpo.gc.ca Nature and EnvironmentScience and TechnologyAnimals/VertebratesGlyptocephalus cynoglossusFishFisheries resourcesGulf of St. Lawrence Data dictionaryCSV https://api-proxy.edh.azure.cloud.dfo-mpo.gc.ca/catalogue/records/ade72f36-17fe-11ed-b70d-1860247f53e3/attachments/Witch-Flounder-biomass-estimates-data-dictionary.csv Biomass estimates of Gulf of St. Lawrence Witch FlounderCSV https://api-proxy.edh.azure.cloud.dfo-mpo.gc.ca/catalogue/records/ade72f36-17fe-11ed-b70d-1860247f53e3/attachments/NAFO-4RST-Witch-Flounder-biomass-estimates-1961-2021.csv Citations ListPDF https://api-proxy.edh.azure.cloud.dfo-mpo.gc.ca/catalogue/records/ade72f36-17fe-11ed-b70d-1860247f53e3/attachments/ade72f36%20references.pdf NAFO Division 4RSTESRI REST https://gisp.dfo-mpo.gc.ca/arcgis/rest/services/FGP/NAFO_4RST/MapServer NAFO Division 4RSTESRI REST https://gisp.dfo-mpo.gc.ca/arcgis/rest/services/FGP/NAFO_4RST/MapServer

PURPOSE:

Determine the stock status of Gulf of St. Lawrence Witch Flounder.

DESCRIPTION:

The yearly biomass estimates of Gulf of St. Lawrence Witch Flounder were obtained using a Bayesian Schaefer Surplus Production model as part of the stock assessment to year 2021.

The yearly estimates presented come from Markov Chain Monte Carlo (MCMC) simulations. The yearly median estimates are provided, along with uncertainty estimates (2.5th, 25th, 75th and 97.5th percentiles). The values are in thousands of tons of 30+ cm biomass.

USE LIMITATIONS:

To ensure scientific integrity and appropriate use of the data, we would encourage you to contact the data custodian.

Data and Resources

Contact Information

Delivery Point: 343 Université Ave

City: Moncton

Administrative Area: New Brunswick

Postal Code: E1C 5K4

Country: Canada

Electronic Mail Address: DFO.GLFCSA-CASGLF.MPO@dfo-mpo.gc.ca

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