Impacts of survey design on a Gulf of Mexico bottom longline survey and the transition to a unified, stratified - random design
The Southeast Area Monitoring and Assessment Program (SEAMAP) Bottom Longline (BLL) survey was established to provide a nearshore complement to the offshore National Marine Fisheries Service (NMFS) BLL survey. SEAMAP state partners (i.e., Texas, Louisiana, Mississippi, and Alabama) used identical ge...
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Frontiers Media S.A.
2025-01-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2024.1426756/full |
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author | Jill M. Hendon Eric R. Hoffmayer Adam G. Pollack John Mareska Fernando Martinez-Andrade Jeff Rester Theodore S. Switzer Zachary C. Zuckerman |
author_facet | Jill M. Hendon Eric R. Hoffmayer Adam G. Pollack John Mareska Fernando Martinez-Andrade Jeff Rester Theodore S. Switzer Zachary C. Zuckerman |
author_sort | Jill M. Hendon |
collection | DOAJ |
description | The Southeast Area Monitoring and Assessment Program (SEAMAP) Bottom Longline (BLL) survey was established to provide a nearshore complement to the offshore National Marine Fisheries Service (NMFS) BLL survey. SEAMAP state partners (i.e., Texas, Louisiana, Mississippi, and Alabama) used identical gear and sampling protocol to NMFS; however, temporal window, sampling universe, sampling frequency, and station selection were determined independently by each state based on available resources and capabilities. Although each state collected high quality data, the lack of a unified design complicated the efforts to combine state partner data to develop an index of abundance for stock assessment purposes. To improve the value of the survey and prioritize the quality and utility of the resultant data, the SEAMAP BLL survey was modified to implement a unified design that included consistency in spatial coverage and sampling frequency, and proportional allocation of sampling effort. Data from the early (2008-2014) and modified (2015-2021) SEAMAP BLL surveys, and from the modified SEAMAP and NMFS surveys were compared to determine the effects of this unified design on data precision. Overall catch composition slightly differed between the early and modified SEAMAP BLL surveys; however, taxa with declined abundance under the modified SEAMAP BLL survey were adequately sampled by the complementary NMFS BLL survey. Size composition was compared for three managed species. The size composition of Atlantic Sharpnose Sharks and Blacktip Sharks differed significantly between the modified SEAMAP BLL survey and the NMFS BLL survey, indicating that the modified survey is indeed providing complementary data. Further, implementing the modified design reduced the coefficient of variation for the indices of abundance for both Blacktip Sharks and Red Drum. The evolution of this survey highlights the benefit of unifying survey designs that build upon existing efforts to enhance the utility of survey data for multiple applications. |
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language | English |
publishDate | 2025-01-01 |
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spelling | doaj-art-2d794c3052ad45d395117a2e1a8409922025-01-03T06:47:13ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452025-01-011110.3389/fmars.2024.14267561426756Impacts of survey design on a Gulf of Mexico bottom longline survey and the transition to a unified, stratified - random designJill M. Hendon0Eric R. Hoffmayer1Adam G. Pollack2John Mareska3Fernando Martinez-Andrade4Jeff Rester5Theodore S. Switzer6Zachary C. Zuckerman7Center for Fisheries Research and Development, The University of Southern Mississippi, Ocean Springs, MS, United StatesMississippi Laboratories, National Marine Fisheries Service, Southeast Fisheries Science Center, Pascagoula, MS, United StatesMississippi Laboratories, National Marine Fisheries Service, Southeast Fisheries Science Center, Pascagoula, MS, United StatesMarine Resources Division, Alabama Department of Conservation and Natural Resources, Dauphin Island, AL, United StatesCoastal Fisheries Division, Texas Parks and Wildlife Department, Corpus Christi, TX, United StatesGulf States Marine Fisheries Commission, Ocean Springs, MS, United StatesFlorida Fish and Wildlife Conservation Commission, Fish and Wildlife Research Institute, St. Petersburg, FL, United StatesLouisiana Department of Wildlife and Fisheries, Grand Isle, LA, United StatesThe Southeast Area Monitoring and Assessment Program (SEAMAP) Bottom Longline (BLL) survey was established to provide a nearshore complement to the offshore National Marine Fisheries Service (NMFS) BLL survey. SEAMAP state partners (i.e., Texas, Louisiana, Mississippi, and Alabama) used identical gear and sampling protocol to NMFS; however, temporal window, sampling universe, sampling frequency, and station selection were determined independently by each state based on available resources and capabilities. Although each state collected high quality data, the lack of a unified design complicated the efforts to combine state partner data to develop an index of abundance for stock assessment purposes. To improve the value of the survey and prioritize the quality and utility of the resultant data, the SEAMAP BLL survey was modified to implement a unified design that included consistency in spatial coverage and sampling frequency, and proportional allocation of sampling effort. Data from the early (2008-2014) and modified (2015-2021) SEAMAP BLL surveys, and from the modified SEAMAP and NMFS surveys were compared to determine the effects of this unified design on data precision. Overall catch composition slightly differed between the early and modified SEAMAP BLL surveys; however, taxa with declined abundance under the modified SEAMAP BLL survey were adequately sampled by the complementary NMFS BLL survey. Size composition was compared for three managed species. The size composition of Atlantic Sharpnose Sharks and Blacktip Sharks differed significantly between the modified SEAMAP BLL survey and the NMFS BLL survey, indicating that the modified survey is indeed providing complementary data. Further, implementing the modified design reduced the coefficient of variation for the indices of abundance for both Blacktip Sharks and Red Drum. The evolution of this survey highlights the benefit of unifying survey designs that build upon existing efforts to enhance the utility of survey data for multiple applications.https://www.frontiersin.org/articles/10.3389/fmars.2024.1426756/fullfishery-independent surveycoefficient of variationmultispeciesstandardizationstock assessmentAtlantic Sharpnose Shark |
spellingShingle | Jill M. Hendon Eric R. Hoffmayer Adam G. Pollack John Mareska Fernando Martinez-Andrade Jeff Rester Theodore S. Switzer Zachary C. Zuckerman Impacts of survey design on a Gulf of Mexico bottom longline survey and the transition to a unified, stratified - random design Frontiers in Marine Science fishery-independent survey coefficient of variation multispecies standardization stock assessment Atlantic Sharpnose Shark |
title | Impacts of survey design on a Gulf of Mexico bottom longline survey and the transition to a unified, stratified - random design |
title_full | Impacts of survey design on a Gulf of Mexico bottom longline survey and the transition to a unified, stratified - random design |
title_fullStr | Impacts of survey design on a Gulf of Mexico bottom longline survey and the transition to a unified, stratified - random design |
title_full_unstemmed | Impacts of survey design on a Gulf of Mexico bottom longline survey and the transition to a unified, stratified - random design |
title_short | Impacts of survey design on a Gulf of Mexico bottom longline survey and the transition to a unified, stratified - random design |
title_sort | impacts of survey design on a gulf of mexico bottom longline survey and the transition to a unified stratified random design |
topic | fishery-independent survey coefficient of variation multispecies standardization stock assessment Atlantic Sharpnose Shark |
url | https://www.frontiersin.org/articles/10.3389/fmars.2024.1426756/full |
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