Cited by 54Marine and fisheries researchFish Ecology and Management StudiesFish Biology and Ecology Studies

Annual indices of Atlantic bluefin tuna (Thunnus thynnus) larvae in the Gulf of Mexico developed using delta-lognormal and multivariate models

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Ingram Jr., G. Walter, Richards, William J., Lamkin, John T., Muhling, Barbara·2010·Aquatic Living Resources

Abstract

Fishery independent indices of spawning biomass of Atlantic bluefin tuna in western North Atlantic Ocean are presented which utilize National Marine Fisheries Service ichthyoplankton survey data collected from 1977 through 2007 in the Gulf of Mexico. Indices were developed using similarly standardized data from which previous indices were developed (i.e. abundance of larvae with a first daily otolith increment formed per 100 m2 of water sampled with bongo gear). Indices were also developed for the first time from standardized data collected with neuston gear [i.e. abundance of 5-mm larvae (i.e. seven-day-old larvae) per 10 minute tow]. Indices of larval abundance were developed using delta-lognormal models, including following covariates: time of day, time of month, area sampled and year. Due to the large frequency of zero catches during ichthyoplankton surveys, a zero-inflated delta-lognormal approach was also used to develop indices. Finally, a multivariate delta-lognormal approach was employed to develop indices of annual abundance based on both bongo and neuston catches. The results of these approaches were compared with one another and with other indices of larval abundance previously developed for the Gulf of Mexico. Residual analyses indicated that abundance indices of Atlantic bluefin tuna larvae were more appropriately developed from bongo-collected data through the zero-inflated delta-lognormal approach than other data sets and modeling approaches. Also, when modeling bongo-collected data with the zero-inflated delta-lognormal approach, the index values increased, indicating some correction for zero-inflation, and their variability decreased as compared to indices developed with the delta-lognormal approach.

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  • Only samples conducted during May within the standard grid are used in the bluefin tuna larval index, which tunes estimates of spawning stock biomass for the western Atlantic population.

    “Only samples conducted during May, within the standard grid, are used in the bluefin tuna larval index, which tunes estimates of spawning stock biomass for the western Atlantic population (Ingram et al. 2010).”

    From A comparison of sampling methods for larvae of medium and large epipelagic fish species during spring SEAMAP ichthyoplankton surveys in the Gulf of Mexico (2014) · cites this paper as Ingram et al. 2010

    The Methodology (p. not available) says samples from April 20 through May 31 were used to index larval abundance, contrary to the claim that only May samples were used. It describes a usual sampling grid and a defined survey area, but does not establish a restriction to samples within a “standard grid.” The Discussion (p. not available) confirms that the larval index was used in a stock assessment model as an indicator of spawning stock biomass. (LLM, conf=0.90)

    Experimental — accuracy not yet measured
  • The annual index of larval abundance for the western population of Atlantic bluefin tuna is the only fishery-independent data used in the international management of western Atlantic bluefin tuna by ICCAT.

    “This index is the only fishery-independent data used in the international management of western Atlantic bluefin tuna, by the International Commission for the Conservation of Atlantic Tunas (ICCAT; Ingram et al. 2010).”

    From A comparison of sampling methods for larvae of medium and large epipelagic fish species during spring SEAMAP ichthyoplankton surveys in the Gulf of Mexico (2014) · cites this paper as Ingram et al. 2010

    The Introduction (page not available in our copy) identifies the larval-abundance index as fishery-independent and says most indices used in western Atlantic bluefin tuna assessments were fishery-dependent. The Discussion (page not available) says a larval index was used in the 2008 stock assessment model. Neither passage establishes that it was the only fishery-independent data used in ICCAT management. (LLM, conf=0.86)

    Experimental — accuracy not yet measured

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1 of the 14 references couldn’t be matched to a known paper.

Research works printed but not linked: 2

  1. Murphy G.I., 1990, A review of Atlantic bluefin tuna larval surveys. ICCAT. Coll. Vol. Sci. Pap. 32, 262-269.
  2. Richards W.J., 1990, Results of a review of the U.S. bluefin tuna larval assessment with a brief response. ICCAT. Coll. Vol. Sci. Pap. 32, 240-247.

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Authors
Ingram Jr., G. W., Richards, W. J., Lamkin, J. T., & Muhling, B.
Affiliations
NOAA National Marine Fisheries Service Southeast Fisheries Science Center (US)
Venue
Aquatic Living Resources
Publisher
EDP Sciences
Published
2010-01
Volume
23
Issue
1
Pages
35-47
ISSN
  • 0990-7440 (ISSN-L)
  • 1765-2952
OpenAlex
W2148809701
Cited by
54
References
14
Citations by year
2026: 2 · 2025: 4 · 2023: 1 · 2022: 2 · 2021: 5 · 2020: 2 · 2019: 5 · 2018: 4 · 2017: 5 · 2016: 4 · 2015: 5 · 2014: 5 · 2013: 6 · 2012: 3
FWCI
2.88
Type
journal article
Language
en
Open access
Locations
Aquatic Living Resources (publishedVersion)
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Marine and fisheries research
  • Physical Sciences › Environmental Science › Nature and Landscape Conservation › Fish Ecology and Management Studies
  • Life Sciences › Agricultural and Biological Sciences › Aquatic Science › Fish Biology and Ecology Studies
Keywords
Thunnus thynnus, spawning stock biomass, ichthyoplankton surveys, bongo net, Gulf of Mexico, western North Atlantic, fish larvae

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