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Summary

Abstract

In winter, king mackerel from eastern Gulf of Mexico and Atlantic stocks mix off southeast Florida, where they support a large fishery. Neither tagging nor genetics has yielded a way to estimate mixing rates accurately. For management purposes, and based on tagging data from the mid-1970s, all of these fish have been considered to be from the Gulf stock. Our objectives were to examine the feasibility of using otolith shape data to distinguish the two stocks, and if the method proved feasible, to use it to estimate stock composition in the winter mixed-stock fishery.

In the feasibility phase of the study, we collected shape data from sagittae of 355 female king mackerel taken during summer spawning seasons, 1986–1993, outside the winter mixing area. Gulf fish were taken off the Florida panhandle and Atlantic fish from waters north of Cape Canaveral, FL. Shape data, obtained from the posterior half of the sagitta, included area, perimeter, and standardized Fourier amplitudes. Using a training set of 250 fish and a stepwise discriminant procedure, we selected a set of variables that correctly classified 80.4% of Atlantic and 85.7% of eastern Gulf fish of the remaining 105 individuals.

In the application phase of the study, we estimated mixed-stock composition in the 1996–1997 winter fishery. Shape data were extracted from sagittae of 363 females taken from distinct areas during the 1996 spawning season. A training subset of the data and a stepwise discriminant procedure were used to select a set of variables that correctly classified 71.1% of Atlantic and 77.5% of eastern Gulf fish in the remaining data (test set). We used that set of variables and a maximum likelihood method to estimate composition of the ensuing mixed-stock fishery from a sample of 463 females taken in that fishery. The resulting estimate was that 99.8% of individuals in the winter landings were from the Atlantic stock and only 0.2% were from the eastern Gulf stock, with a standard error of 3.4%.

Using otolith shape data, it is possible to distinguish individuals from eastern Gulf and Atlantic stocks of king mackerel and to estimate stock composition in the mixed-stock fishery. Our estimate of that stock composition is consistent with other recent studies, but is markedly different from the composition presently assumed in management. Because management can be ineffective if based on inaccurate estimates of stock composition, we recommend that such information be used regularly in management and that corresponding estimates be made in future years. Such continued analysis would serve both to confirm our results and to estimate year-to-year variability in stock composition of the mixed fishery.

Contact Information

Point of Contact
Kyle Shertzer
kyle.shertzer@noaa.gov
252-728-8607

Metadata Contact
Erik Williams
erik.williams@noaa.gov
252-728-8603

Item Identification

Title: Using otolith shape analysis to distinguish eastern Gulf of Mexico and Atlantic Ocean stocks of king mackerel
Publication Date: 2002
Abstract:

In winter, king mackerel from eastern Gulf of Mexico and Atlantic stocks mix off southeast Florida, where they support a large fishery. Neither tagging nor genetics has yielded a way to estimate mixing rates accurately. For management purposes, and based on tagging data from the mid-1970s, all of these fish have been considered to be from the Gulf stock. Our objectives were to examine the feasibility of using otolith shape data to distinguish the two stocks, and if the method proved feasible, to use it to estimate stock composition in the winter mixed-stock fishery.

In the feasibility phase of the study, we collected shape data from sagittae of 355 female king mackerel taken during summer spawning seasons, 1986–1993, outside the winter mixing area. Gulf fish were taken off the Florida panhandle and Atlantic fish from waters north of Cape Canaveral, FL. Shape data, obtained from the posterior half of the sagitta, included area, perimeter, and standardized Fourier amplitudes. Using a training set of 250 fish and a stepwise discriminant procedure, we selected a set of variables that correctly classified 80.4% of Atlantic and 85.7% of eastern Gulf fish of the remaining 105 individuals.

In the application phase of the study, we estimated mixed-stock composition in the 1996–1997 winter fishery. Shape data were extracted from sagittae of 363 females taken from distinct areas during the 1996 spawning season. A training subset of the data and a stepwise discriminant procedure were used to select a set of variables that correctly classified 71.1% of Atlantic and 77.5% of eastern Gulf fish in the remaining data (test set). We used that set of variables and a maximum likelihood method to estimate composition of the ensuing mixed-stock fishery from a sample of 463 females taken in that fishery. The resulting estimate was that 99.8% of individuals in the winter landings were from the Atlantic stock and only 0.2% were from the eastern Gulf stock, with a standard error of 3.4%.

Using otolith shape data, it is possible to distinguish individuals from eastern Gulf and Atlantic stocks of king mackerel and to estimate stock composition in the mixed-stock fishery. Our estimate of that stock composition is consistent with other recent studies, but is markedly different from the composition presently assumed in management. Because management can be ineffective if based on inaccurate estimates of stock composition, we recommend that such information be used regularly in management and that corresponding estimates be made in future years. Such continued analysis would serve both to confirm our results and to estimate year-to-year variability in stock composition of the mixed fishery.

Other Citation Details:

Fisheries Research

Volume 57, Issue 1, July 2002, Pages 51-62

https://doi.org/10.1016/S0165-7836(01)00332-0

Keywords

Theme Keywords

Thesaurus Keyword
UNCONTROLLED
None Fourier
None Maximum likelihood
None Otolith
None Scomberomorus
None Shape analysis
None Stock composition

Publication Information

Publication Type: Journal

Support Roles

Author

CC ID: 906298
Date Effective From: 2003
Date Effective To:
Contact (Person): DeVries, Doug

Co-Author

CC ID: 907624
Date Effective From: 2002
Date Effective To:
Contact (Person): Prager, Michael H
Email Address: web@mhprager.com
URL: Mike Prager Home Page

Data Steward

CC ID: 906269
Date Effective From: 2002
Date Effective To:
Contact (Person): Williams, Erik
Address: 101 Pivers Island Rd
Beaufort, NC 28516
Email Address: erik.williams@noaa.gov
Phone: 252-728-8603
Fax: 252-728-8784
Contact Instructions:

Contact by email preferred.

Distributor

CC ID: 906270
Date Effective From: 2002
Date Effective To:
Contact (Organization): Southeast Fisheries Science Center (SEFSC)
Address: 75 Virginia Beach Drive
Miami, FL 33149
USA
Phone: (305)361-5761
URL: https://www.fisheries.noaa.gov/about/southeast-fisheries-science-center
Business Hours: 8:00 a.m. - 4:30 p.m. EST

Metadata Contact

CC ID: 906271
Date Effective From: 2002
Date Effective To:
Contact (Person): Williams, Erik
Address: 101 Pivers Island Rd
Beaufort, NC 28516
Email Address: erik.williams@noaa.gov
Phone: 252-728-8603
Fax: 252-728-8784
Contact Instructions:

Contact by email preferred.

Point of Contact

CC ID: 906272
Date Effective From: 2002
Date Effective To:
Contact (Person): Shertzer, Kyle
Address: 101 Pivers Island Rd
Beaufort, NC 28516
Email Address: kyle.shertzer@noaa.gov
Phone: 252-728-8607
Fax: 252-728-8784
Contact Instructions:

Contact by email preferred.

Distribution Information

Distribution 1

CC ID: 906299
Start Date: 2002
End Date: Present
Download URL: https://doi.org/10.1016/S0165-7836(01)00332-0
Distributor: Southeast Fisheries Science Center (SEFSC) (2002 - Present)
Compression: Uncompressed
Review Status: Chked Viruses Inapp Content

Distribution 2

CC ID: 907617
Start Date: 2002
End Date: Present
Download URL: https://www.researchgate.net/publication/223834016_Using_otolith_shape_to_distinguish_eastern_Gulf_of_Mexico_and_Atlantic_Ocean_stocks_of_king_mackerel
Distributor:
Description:

Paper in research gate

Compression: Uncompressed
Review Status: Chked Viruses Inapp Content

Catalog Details

Catalog Item ID: 59578
GUID: gov.noaa.nmfs.inport:59578
Metadata Record Created By: Lee M Weinberger
Metadata Record Created: 2020-05-12 11:24+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2023-08-15 17:09+0000
Metadata Record Published: 2022-12-29
Owner Org: SEFSC
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2022-12-29
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2023-12-29