Cited by 53Marine and fisheries researchFish Ecology and Management StudiesFish Biology and Ecology Studies

A review of the fisheries, life history and stock structure of tropical tuna (skipjack Katsuwonus pelamis, yellowfin Thunnus albacares and bigeye Thunnus obesus) in the Indian Ocean

Open access
·2021·Advances in Marine Biology

Abstract

Skipjack (Katsuwonus pelamis), yellowfin (Thunnus albacares) and bigeye (Thunnus obesus) tuna are the target species of tropical tuna fisheries in the Indian Ocean, with high commercial value in the international market. High fishing pressure over the past three decades has raised concerns about their sustainability. Understanding life history strategies and stock structure is essential to determine species resilience and how they might respond to exploitation. Here we provide a comprehensive review of available knowledge on the biology, ecology, and stock structure of tropical tuna species in the Indian Ocean. We describe the characteristics of Indian Ocean tropical tuna fisheries and synthesize skipjack, yellowfin, and bigeye tuna key life history attributes such as biogeography, trophic ecology, growth, and reproductive biology. In addition, we evaluate the available literature about their stock structure using different approaches such as analysis of fisheries data, genetic markers, otolith microchemistry and tagging, among others. Based on this review, we conclude that there is a clear lack of ocean basin-scale studies on skipjack, yellowfin and bigeye tuna life history, and that regional stock structure studies indicate that the panmictic population assumption of these stocks should be investigated further. Finally, we identify specific knowledge gaps that should be addressed with priority to ensure a sustainable and effective management of these species.

AI snapshot

Written from the paper’s full text.

TL;DR

This review synthesizes Indian Ocean tropical tuna fisheries, life history, and stock structure for skipjack, yellowfin, and bigeye tuna, concluding that basin-scale life-history studies are lacking and that the current single-stock/panmictic management assumption should be investigated further. It identifies major knowledge gaps in growth, reproduction, habitat use, and stock delineation that increase uncertainty in assessment and management.

Key findings

  • Tropical tunas represented 53% of total IOTC catches in 2018; skipjack contributed ~53%, yellowfin ~38%, and bigeye ~9% of tropical tuna catches, with total tropical tuna landings of 1,130,359 t in 2018. Artisanal fisheries accounted for around 50% of total Indian Ocean tuna catches overall and ~43% in 2018.
  • Growth parameters vary widely in the Indian Ocean: skipjack reported k = 0.23–1.41 year⁻¹ and L∞ = 60.6–94.8 cm FL; yellowfin k = 0.18–1.54 and L∞ = 123.6–272.7 cm FL; bigeye k = 0.06–0.45 (mean 0.22) and L∞ = 150.9–423.0 cm FL. Skipjack is the fastest-growing tuna, while bigeye has the greatest life expectancy, with a proposed maximum age of at least 16 years.
  • Current stock assessments assume single Indian-wide stocks for all three species, based largely on RTTP-IO tagging evidence of rapid, large-scale movements (e.g., average monthly skipjack distance of 1066 miles in the first year; bigeye 918 miles). However, fisheries data, genetics, parasites, and otolith microchemistry often indicate more fragmented structure, so the panmictic assumption should be investigated further.
  • The review identifies priority gaps: lack of ocean-basin-scale life-history studies, unresolved spawning time/location, inconsistent growth and reproductive parameters, and the need for integrated stock-delineation methods including genomics, otolith microchemistry, parasites, and electronic tagging.

Methods

  • This is a comprehensive literature review, not a primary data study. It describes Indian Ocean tropical tuna fisheries and synthesizes published knowledge on biogeography, trophic ecology, growth, reproductive biology, and stock structure for skipjack, yellowfin, and bigeye tuna.
  • Stock-structure evidence is evaluated across multiple approaches: fisheries catch/effort and size data, morphometric and meristic characters, parasites, genetic markers, otolith microchemistry, and conventional tagging.
  • The paper uses IOTC catch statistics and published studies, including figures and tables, to summarize spatiotemporal fishery patterns, life-history parameters, spawning seasonality, and knowledge gaps.

Limitations

  • Stated in the paper: there is a clear lack of ocean basin-scale studies on life history; most studies are regionally limited. Tagging programs do not represent the whole Indian Ocean, few tags have been returned from the eastern Indian Ocean, and reporting rates by longliners there are poor. Single molecular markers can give contradictory stock-structure results, and no NGS-based tropical tuna stock studies have yet been published for the Indian Ocean.
  • Stated in the paper: spawning frequency of tropical tuna in the Indian Ocean has not been reported yet, and there is no consensus on spawning time and location. Growth and reproduction parameters show discrepancies that increase assessment uncertainty.
  • Evident from the text: as a review, the conclusions depend on the availability, quality, and spatial coverage of existing literature and fishery data; it cannot resolve contradictions among primary studies or fill the identified data gaps with new empirical analyses.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1016/bs.amb.2020.09.002

Cites

178 of 178 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

15 of 119 cited sources checked · 11 supported · 0 flagged · accuracy not yet measured

  • Premisecitation
    § 3.4. Reproductive biology · p. 13

    Reported individual fecundity for skipjack tuna in the western Indian Ocean ranges from 80,000 oocytes for a 44 cm FL female to 1.25 million oocytes for a 75 cm FL female.

    “Reported individual fecundity for skipjack tuna range from 80,000 oocytes for a 44 cm FL female to 1.25 million oocytes for a large (75 cm FL) female in the western Indian Ocean (Stéquert and Ramcharrun, 1995).”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Stéquert and Ramcharrun, 1995 source

      The sections on fecundity versus fork length and fishing area (page unavailable) report fecundity measurements for western Indian Ocean skipjack, including females as small as 44 cm. However, the passages do not establish the claimed endpoints of 80,000 oocytes at 44 cm and 1.25 million at 75 cm; searches for those numbers and sizes did not locate them in our copy. (LLM, conf=0.78)

      Experimental — accuracy not yet measured
  • Premisecitation
    § 3.4. Reproductive biology · p. 12

    Female yellowfin tuna are considered mixed income-capital breeders.

    “Female yellowfin tuna however, are considered to be mixed income-capital breeders (Zudaire et al., 2014).”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Zudaire et al., 2014 source
  • Premisecitation
    § 4.1. Fisheries Data · p. 15

    A study based on size composition of skipjack caught by longline vessels in the Indian Ocean during 1972-1975 reported relatively smaller specimens in the central and eastern Indian Ocean.

    “A study based on size composition of skipjack caught by longline vessels in the Indian Ocean during 1972-1975, reported relatively smaller specimens in the central and eastern Indian Ocean (Pillai and Silas, 1979).”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Pillai and Silas, 1979
  • Premisecitation
    § 4.4. Genetics · p. 18

    Using genome wide SNPs, Barth et al. (2017) found genetic differentiation of yellowfin tuna from the Arabian Sea with respect to those from the Atlantic and Indo-Pacific.

    “Using genome wide SNPs, Barth et al. (2017) found genetic differentiation of yellowfin tuna from the Arabian Sea with respect to those from the Atlantic and Indo-Pacific.”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites Barth et al., 2017 source
  • Premisecitation
    § 4.4. Genetics · p. 16

    Fujino et al. (1981) found significant differences in allozyme allele frequencies in skipjack from the Indian Ocean compared to those collected both from the Atlantic and western Pacific Oceans.

    “Also at the inter-oceanic scale, Fujino et al. (1981) found significant differences in allozyme allele frequencies in skipjack from the Indian Ocean compared to those collected both from the Atlantic and western Pacific Oceans.”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Fujino et al., 1981 source
  • Classified as probably not a substantial claim. 25
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    Premisecitation
    § Abstract : · p. 1

    Understanding life history strategies and stock structure is essential to determine species resilience and how they might respond to exploitation.

    “Understanding life history strategies and stock structure is essential to determine species resilience and how they might respond to exploitation.”
    • Also stated in: § 1. Introduction · p. 3 · plain
      “Understanding life history strategies and stock structure is essential in determining how a species might respond to fishing pressure”
    Quote in the paperNot a substantial claim1 of 3 sources checked
    • cites Jennings et al., 1998 source
    • cites Begg et al., 1999

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Juan-Jordá et al., 2013 source

      The Introduction (page unavailable) says life history strategies are fundamental to understanding how species respond to human exploitation, and the Discussion (page unavailable) applies them to management of exploited scombrids. The passages do not establish that understanding stock structure is essential for determining resilience or responses to exploitation. (LLM, conf=0.87)

      Experimental — accuracy not yet measured
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    Premisecitation
    § 3.4. Reproductive biology · p. 12

    Tropical tunas are oviparous, have asynchronous oocyte development, and spawn multiple batches of oocytes each spawning season.

    “Tropical tunas are oviparous, have an asynchronous oocyte development and spawn multiple batches of oocytes each spawning season (Joseph, 1963; Hunter et al., 1986; Stéquert and Ramcharrun, 1995; Schaefer, 2001).”
    Quote in the paperNot a substantial claim1 of 3 sources checked
    • cites Joseph, 1963

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Hunter et al., 1986

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Stéquert and Ramcharrun, 1995 source

      In “Structure de la gonade” (page unavailable), the paper describes skipjack ovaries containing oocytes at different developmental stages. In “Fréquence de ponte des individus” (page unavailable), it infers repeated egg releases during a spawning period, but presents that inference cautiously. The findings concern western Indian Ocean skipjack, not tropical tunas generally, and the paper does not explicitly classify them as oviparous. (LLM, conf=0.86)

      Experimental — accuracy not yet measured
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    Premisecitation
    § 3.4. Reproductive biology · p. 14

    Koya et al. (2012) observed year-round spawning of skipjack tuna in Indian waters but reported a peak in activity between December-March and a smaller peak from June to August.

    “Koya et al., (2012) also observed year-round spawning in Indian waters but reported a peak in activity between December-March and a smaller peak from June to August.”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Koya et al., 2012
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    Premisecitation
    § 4.4. Genetics · p. 17

    Genomic analyses have revealed asymmetrical dispersal from the Indian Ocean yellowfin tuna into the Atlantic and highlighted that yellowfin tuna found along all the South African coast are derived from the Indian population.

    “Moreover, genomic analyses have revealed asymmetrical dispersal from the Indian Ocean yellowfin tuna into the Atlantic and highlighted that yellowfin tuna found along all the South African coast are derived from the Indian population (Barth et al., 2017; Mullins et al., 2018).”
    Quote in the paperNot a substantial claim2 of 2 sources checked
    • cites Barth et al., 2017 source

      The Discussion section, “Demographic Histories and Asymmetric Gene Flow,” reports migration estimates about ten times higher from the Indo-Pacific to the Atlantic than in the reverse direction. But the Sample Collection section lists only one South African site, Cape Town, and the Results section says all except one of its seven specimens grouped with the Indo-Pacific clade. The paper therefore does not establish that yellowfin tuna along all of South Africa’s coast derive from the Indian population. (LLM, conf=0.89)

      Experimental — accuracy not yet measured
    • cites Mullins et al., 2018 source
  • May combine two claims.

    Premisecitation
    § 4.4. Genetics · p. 18

    Microsatellite loci supported a single worldwide panmictic bigeye tuna population, whereas mitochondrial markers show genetic differentiation between Atlantic and Indo-Pacific bigeye tuna populations.

    “Microsatellite loci supported a single worldwide panmictic bigeye tuna population, whereas mitochondrial markers show genetic differentiation between Atlantic and Indo-Pacific bigeye tuna populations, as previous studies did.”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Gonzalez et al., 2008 source
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation
    § 5. Conclusions and future research directions · p. 24

    Skipjack tuna has undergone distribution range reduction in the Indian Ocean, contrary to what occurred in the Pacific Ocean.

    “Worm and Tittensor (2011) reported that skipjack tuna has undergone distribution range reduction in the Indian Ocean, contrary to what occurred in the Pacific Ocean.”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Worm and Tittensor (2011) source
  • Probably not a substantial claim: may not pass S4 (based).

    Premisenone given
    § Abstract : · p. 1

    High fishing pressure over the past three decades has raised concerns about the sustainability of skipjack, yellowfin and bigeye tuna in the Indian Ocean.

    “High fishing pressure over the past three decades has raised concerns about their sustainability.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 3.4. Reproductive biology · p. 13

    Mean batch fecundity of bigeye tuna in the western Indian Ocean is estimated at 0.75±0.52 million oocytes.

    “Finally, mean batch fecundity of bigeye tuna in the western Indian Ocean has been estimated at 0.75±0.52 million oocytes (Zudaire et al., 2016).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Zudaire et al., 2016

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

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    Interpretationreasoning
    § 1. Introduction · p. 3

    The difficulty of monitoring the fisheries within the Indian Ocean not only affects the stock assessment process, but also the implementation of the agreed management measures in the IOTC area.

    “The difficulty of monitoring the fisheries within the Indian Ocean not only affects the stock assessment process, but also the implementation of the agreed management measures in the IOTC area.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning
    § Abstract : · p. 1

    Regional stock structure studies indicate that the panmictic population assumption of these stocks should be investigated further.

    “regional stock structure studies indicate that the panmictic population assumption of these stocks should be investigated further.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation
    § 1. Introduction · p. 4

    Spatial structure is recognized in current stock assessments, which need to determine relative abundances among regions.

    “although spatial structure is recognized in current stock assessments, which need to determine relative abundances among regions”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Hoyle, 2018

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Hoyle and Langley, 2020 source
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    Premisecitation
    § 1. Introduction · p. 3

    Understanding of stock structure helps determine the appropriate units for stock assessment and suitable spatial scale for management.

    “the understanding of stock structure helps determine the appropriate units for stock assessment and suitable spatial scale for management (Kerr et al., 2016)”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Kerr et al., 2016

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

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    Premisecitation
    § 3.4. Reproductive biology · p. 13

    In the eastern and west-central Indian Ocean, L50 for female yellowfin tuna has been estimated at 109.6 cm and 114.0 cm respectively, and for males at 104.9 cm and 120.0 cm FL.

    “In the eastern and west-central Indian Ocean, L50 for females has been estimated at 109.6 cm and 114.0 cm respectively, whereas L50 reported for males was at 104.9 cm and 120.0 cm FL (Nootmorn et al., 2005; Zhu et al., 2008).”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Nootmorn et al., 2005

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Zhu et al., 2008 source
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    Premisecitation
    § 3.4. Reproductive biology · p. 13

    Tropical tuna show an indeterminate fecundity type, with oocyte maturation continuous during extended spawning periods.

    “Tropical tuna show an indeterminate fecundity type (i.e., oocyte maturation is continuous during their extended spawning periods) (Grande et al., 2012; Zudaire et al., 2013b).”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Grande et al., 2012 source
    • cites Zudaire et al., 2013b

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation
    § 1. Introduction · p. 4

    Since 2008, Indian Ocean yellowfin tuna assessments used a spatial stratification, and so did recent bigeye assessments.

    “Since 2008, Indian Ocean yellowfin tuna assessments used a spatial stratification (Langley et al., 2008; Fu et al., 2018), and so did recent bigeye assessments (Langley, 2016; Fu, 2019).”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites Langley et al., 2008

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Fu et al., 2018

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Langley, 2016

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Classified as probably not a substantial claim.

    Premisecitation
    § 1. Introduction · p. 4

    Each tropical tuna species is considered to form a single stock in the Indian Ocean for management purposes.

    “Each tropical tuna species is considered to form a single stock in the Indian Ocean for management purposes”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites IOTC, 2017a

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites IOTC, 2017b

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites IOTC, 2017c

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation
    § 1. Introduction · p. 3

    Although catch limitations of yellowfin tuna in the Indian Ocean were agreed due to the overfished status of the stock, the measure failed to achieve its goal as catches has increased by around 9% in 2018 from 2014/2015 levels despite limitations.

    “although catch limitations of yellowfin tuna in the Indian Ocean were agreed due to the overfished status of the stock (IOTC Resolution 19/01), the measure failed to achieve its goal as catches has increased by around 9% in 2018 from 2014/2015 levels despite limitations (IOTC, 2019b).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites IOTC, 2019b

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation
    § 3.4. Reproductive biology · p. 14

    In the western Indian Ocean, spawning of skipjack tuna occurs throughout the year, with peaks of intensity between November-March and June-July, coinciding with the northeastern and southwestern monsoon periods respectively.

    “In the western Indian Ocean, spawning of skipjack tuna occurs throughout the year, with peaks of intensity between November-March and June-July, coinciding with the northeastern and southwestern monsoon period respectively (Stéquert et al., 2001; Grande et al., 2014).”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Stéquert et al., 2001 source
    • cites Grande et al., 2014 source
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation
    § 3.4. Reproductive biology · p. 13

    Sardenne et al. (2017) suggested an income-capital breeding strategy for bigeye tuna after concluding that liver neutral fatty acids levels were similar to those from yellowfin.

    “However, Sardenne et al., 2017 suggested an income-capital breeding strategy for bigeye tuna after concluding that liver neutral fatty acids levels were similar to those from yellowfin.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Sardenne et al., 2017 source
  • May combine two claims.

    Premisereasoning
    § 1. Introduction · p. 4

    These models consider spatial differences in catches but assume a single-stock recruitment relationship (i.e. a unique spawning population with no reproductively isolated units).

    “These models consider spatial differences in catches but assume a single-stock recruitment relationship (i.e. a unique spawning population with no reproductively isolated units).”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 3.4. Reproductive biology · p. 13

    Grande et al. (2010) estimated batch fecundity from 100,828 to 627,325 oocytes in female skipjack ranging from 32 to 68 cm FL.

    “Grande et al. (2010) estimated batch fecundity from 100,828 oocytes to 627,325 oocytes in female skipjack ranging from 32 to 68 cm FL.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Grande et al., 2010

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning
    § 1. Introduction · p. 4

    Scientific evidence on how tropical tuna are structured in the Indian Ocean is required to validate the adequacy of the divisions used in this approach and to resolve the single stock hypothesis assumption, as different scenarios may lead to different management strategies and implications.

    “However, scientific evidence on how tropical tuna are structured in the Indian Ocean is required to validate the adequacy of the divisions used in this approach and to resolve the single stock hypothesis assumption, as different scenarios may lead to different management strategies and implications”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 3.4. Reproductive biology · p. 14

    In the Pacific Ocean, mean spawning interval has been determined as 1.18, 1.53 and 1.09 days for skipjack, yellowfin and bigeye tuna respectively.

    “in the Pacific Ocean the mean spawning interval has been determined as 1.18 , 1.53 and 1.09 days for skipjack, yellowfin and bigeye tuna respectively (Schaefer, 2001).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Schaefer, 2001 source
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Interpretationcitation
    § 4.4. Genetics · p. 18

    Proctor et al. (2019) proposed that the observed pattern of differentiation may indicate limited gene flow between the central and eastern Indian Ocean, with more pronounced gene flow among Indonesian and Western Pacific regions.

    “Proctor et al. (2019) proposed that the observed pattern of differentiation may indicate limited gene flow between the central and eastern Indian Ocean, with more pronounced gene flow among Indonesian and Western Pacific regions.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Proctor et al., 2019

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation
    § 3.4. Reproductive biology · p. 14

    In the eastern Indian Ocean, the spawning season of bigeye tuna is reported from December to January, with another peak in June.

    “In the eastern Indian Ocean, the spawning season is reported from December to January, with another peak in June (Nootmorn, 2004), whereas in the western Indian Ocean, high reproductive activity has been observed from January to March (Zudaire et al., 2016).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Nootmorn, 2004
  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation
    § 4. Stock structure · p. 14

    Current stock assessments are conducted assuming that there are single, Indian-wide stocks of skipjack, yellowfin, and bigeye tuna, and that there is no exchange of fish among Atlantic, Indian and Pacific Oceans.

    “Current stock assessments are conducted assuming that there are single, Indianwide stocks of skipjack, yellowfin, and bigeye tuna; and that there is no exchange of fish among Atlantic, Indian and Pacific Oceans.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 4.1. Fisheries Data · p. 15

    Morita and Koto (1970) suggested a two-stock structure for Indian Ocean yellowfin tuna, with western and eastern stocks separated approximately at 100°E and possibly mixing in adjacent waters.

    “Similarly, analysing Japanese longline fishery data (1961-1965), Morita and Koto, (1970) suggested a twostock structure for the Indian Ocean yellowfin tuna; the western and eastern stocks separated approximately at 100°E and possibly mixing in adjacent waters.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Morita and Koto, 1970

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation
    § 4.4. Genetics · p. 18

    Results from genome wide SNPs indicate a marked genetic difference between yellowfin tuna samples from the central Indian Ocean (Maldives) and the western Pacific Ocean, but not between samples from eastern Indian Ocean (Indonesia) and the western Pacific Ocean.

    “Results from genome wide SNPs also indicate a marked genetic difference between samples from the central Indian Ocean (Maldives) and the western Pacific Ocean, but not between samples from eastern Indian Ocean (Indonesia) and the western Pacific Ocean (Proctor et al., 2019).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Proctor et al., 2019

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation
    § 3.4. Reproductive biology · p. 14

    Yellowfin tuna predominantly spawn from November to February in equatorial waters, primarily on spawning grounds west of 75°E.

    “Yellowfin tuna predominantly spawn from November to February in equatorial waters, primarily on spawning grounds west of 75°E (Shung, 1973; Hassani and Stéquert, 1991; Zudaire et al., 2013a).”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites Shung, 1973

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Hassani and Stéquert, 1991

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Zudaire et al., 2013a

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 4.1. Fisheries Data · p. 15

    Nishida (1992) concluded that there were two major and two minor stocks of yellowfin tuna in the Indian Ocean, using CPUE, age-specific CPUE and size variations from longline fishery data.

    “Later, Nishida (1992) concluded that there were two major and two minor stocks of yellowfin tuna in the Indian Ocean, using catch-per-unit-effort (CPUE), agespecific CPUE and size variations obtained from longline fishery data.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Nishida, 1992 source
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    Premisecitation
    § 3.4. Reproductive biology · p. 14

    Secondary spawning peaks for yellowfin tuna have been described in June for the western Indian Ocean, between April and June around Sri Lanka, and from October to December off northern Australia and Madagascar.

    “Secondary spawning peaks have also been described; in June for the western Indian Ocean, between April and June around Sri Lanka, and from October to December off northern Australia and Madagascar (Stéquert and Marsac, 1989; Stéquert et al., 2001; Zudaire et al., 2013a).”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites Stéquert and Marsac, 1989
    • cites Stéquert et al., 2001 source
    • cites Zudaire et al., 2013a

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation
    § 4.1. Fisheries Data · p. 15

    For bigeye tuna, a single stock was suggested for the Indian Ocean based on distribution, size composition and sexual maturity, although some differences between eastern and western bigeye tuna were reported.

    “In the case of the bigeye tuna, a single stock was suggested for the Indian Ocean, based on the distribution, size composition and sexual maturity of the fish, although some differences between eastern and western bigeye tuna were reported (Kume et al., 1971).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Kume et al., 1971

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation
    § 4.1. Fisheries Data · p. 15

    The two major yellowfin tuna stocks were defined at 40°-80°E and 80°-120°E, and the two minor stocks were defined westward 40°E and eastward of 120°E, named far western and far eastern respectively, with the latter possibly being part of the Pacific stock.

    “The two major stocks (named western and eastern) were defined at 40°-80°E and 80°-120°E respectively. The two minor stocks were defined westward 40°E and eastward of 120°E, and named far western and far eastern respectively, with the latter possibly being part of the Pacific stock.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Nishida, 1992 source
  • May combine two claims.

    Interpretationreasoning
    § 4.6. Tagging · p. 22

    This may lead to biased results and data misinterpretation.

    “This may lead to biased 615 results and data misinterpretation.”
    Quote in the paperNot a substantial claim
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    Interpretationnone given
    § 5. Conclusions and future research directions · p. 23

    There is still not a consensus on spawning time and location of tropical tuna in the Indian Ocean, which is important to inform assumptions about total reproductive output.

    “Similarly, there is still not a consensus on spawning time and location of tropical tuna in the Indian Ocean, which is important to inform assumptions about total reproductive output.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation
    § 4.6. Tagging · p. 20

    Despite rapid movements described for skipjack tuna tagged in the Mozambique Channel, most tagged tuna returned to this area within one year, coinciding with the March-May fishing season, a pattern recurrent over the studied years.

    “Despite the rapid movements described for skipjack tuna tagged in the Mozambique Channel, most tagged tuna returned to this area within one year, coinciding with the March-May fishing season, a pattern that was recurrent over the studied years (Fonteneau and Hallier, 2015).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Fonteneau and Hallier, 2015 source
  • May combine two claims.

    Premisecitation
    § 4.6. Tagging · p. 21

    Results obtained from the RTTP-IO describe fast and large-scale bigeye movements, with an average monthly distance between tagging and recovery positions of 918 miles in the first year, with distances increasing slowly in subsequent years.

    “Results obtained from the RTTP-IO also describe fast and large-scale bigeye movements. The average monthly distance between tagging and recovery positions is 918 miles in the first year, with distances increasing slowly in subsequent years (Fonteneau and Hallier, 2015).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Fonteneau and Hallier, 2015 source
  • May combine two claims.

    Premisecitation
    § 5. Conclusions and future research directions · p. 23

    Despite strong evidence of sexual-dimorphism in yellowfin and bigeye tuna growth, which can lead to elevated sex-biased fishing mortality rates, this is not currently being considered in stock assessments due to a lack of the necessary data.

    “Despite strong evidence of sexual-dimorphism in yellowfin and bigeye tuna growth (Eveson et al., 2015), which can lead to elevated sex-biased fishing mortality rates, this is not currently being considered in stock assessments due to a lack of the necessary data.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Eveson et al., 2015 source
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).

    Interpretationnone given
    § 4.4. Genetics · p. 19

    Overall, results obtained from the application of a single type of molecular marker should be interpreted with caution.

    “Overall, it seems that results obtained from the application of a single type of molecular marker should be interpreted with caution.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning
    § 5. Conclusions and future research directions · p. 23

    Most studies are regionally limited, which impedes a global overview of the complex interaction between the environment and these species and makes it difficult to incorporate life-history parameters at the appropriate scale into stock assessment models.

    “Most studies are regionally limited, which impedes a global overview of the complex interaction between the environment and these species and makes it difficult to incorporate life-history parameters at the appropriate scale into stock assessment models.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationcitation
    § 4.6. Tagging · p. 22

    Very few tags have been returned from the eastern Indian Ocean, which may reflect a lack movement from west to east, but more certainly, this is a consequence of poor reporting rates by longliners operating in the east Indian Ocean.

    “For instance 617 very few tags have been returned from the eastern Indian Ocean (Murua et al., 2015), which may reflect a 618 lack movement from west to east, but more certainly, this is a consequence of poor reporting rates by 619 longliners operating in the east Indian Ocean.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Murua et al., 2015 source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation
    § 4.6. Tagging · p. 22

    Fonteneau and Hallier (2015) advised that current tagging programs targeting tropical tuna may still not be adequate to estimate the potential stock mixing rates.

    “Fonteneau and Hallier (2015) advised that current tagging programs 616 targeting tropical tuna, may still not be adequate to estimate the potential stock mixing rates.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Fonteneau and Hallier, 2015 source
  • May combine two claims.

    Interpretationreasoning
    § 5. Conclusions and future research directions · p. 23

    There are discrepancies regarding the growth and reproduction parameters of skipjack, yellowfin and bigeye tuna in the Indian Ocean, which increases uncertainties in assessments of their status and advice for their management.

    “However, there are discrepancies regarding the growth and reproduction parameters of these key species in the Indian Ocean, which increases uncertainties in assessments of their status and advice for their management.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisereasoning
    § 4.6. Tagging · p. 22

    Electronic tags may present a complementary platform to elucidate tropical tuna real movements.

    “Electronic tags may present a complementary platform to 621 elucidate tropical tuna real movements.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation
    § 4.6. Tagging · p. 22

    Conventional tagging studies depend on tag-recapture efforts, and can be sensitive to the distribution of releases and assumptions related to the tagged population (e.g. random selection, independence and complete mixing).

    “Conventional tagging studies, however, depend on tag-recapture efforts, and can be sensitive to the 613 distribution of releases and assumptions related to the tagged population (e.g. random selection, 614 independence and complete mixing) (Pollock and Pine, 2007; Berger et al., 2014).”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Pollock and Pine, 2007 source
    • cites Berger et al., 2014

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation
    § 4.6. Tagging · p. 20

    Skipjack tagged in Tanzania showed the larger and fastest migrations (average distances of 1129 miles after one month at liberty), followed by skipjack tagged in Mozambique Channel (an average of 894 miles travelled).

    “Skipjack tagged in Tanzania showed the larger and fastest migrations (e.g. average distances of 1129 miles after one month at liberty), followed by skipjack tagged in Mozambique Channel (an average of 894 miles travelled).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Fonteneau and Hallier, 2015 source
  • Classified as probably not a substantial claim.

    Premisecitation
    § 4.6. Tagging · p. 21

    Langley and Million (2012) suggested that the 28-29oC SST isotherm may limit the eastward dispersal of the tagged fish.

    “Langley and Million (2012) suggested that the 28-29ºC SST isotherm may limit the eastward dispersal of the tagged fish.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Langley and Million, 2012

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation
    § 5. Conclusions and future research directions · p. 23

    Skipjack tuna have fast growth rates and reach sexual maturity the fastest among three tropical tuna species.

    “For example, skipjack tuna have fast growth rates and reach sexual maturity the fastest among three tropical tuna species (Murua et al., 2017)”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Murua et al., 2017 source
  • May combine two claims.

    Premisecitation
    § 4.4. Genetics · p. 18

    A recent study using SNP data proved restricted connectivity between Indian Ocean (central and eastern) and the western Pacific Ocean bigeye tuna, with samples from central Indonesia having limited connectivity also with the previous areas.

    “However, a recent study using SNP data proved restricted connectivity between Indian Ocean (central and eastern) and the western Pacific Ocean bigeye tuna, with samples from central Indonesia having limited connectivity also with the previous areas (Proctor et al., 2019).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Proctor et al., 2019

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation
    § 4.6. Tagging · p. 21

    The reported fast and extensive movements of bigeye tuna in the Indian Ocean led to the assumption that its population is highly mobile, supporting the current assumption of a single stock for the Indian Ocean.

    “The reported fast and extensive movements of bigeye tuna in the Indian Ocean led to the assumption that its population is highly 611 mobile, supporting the current assumption of a single stock for the Indian Ocean (IOTC, 2017a).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites IOTC, 2017a

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation
    § 5. Conclusions and future research directions · p. 23

    Growth, mortality and reproduction are determinant factors for population productivity and key variables for stock assessment and management advice.

    “Growth, mortality and reproduction are determinant factors for population productivity and, thus, key variables for stock assessment and management advice (Maunder et al., 2015).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Maunder et al., 2015

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisenone given
    § 4.4. Genetics · p. 18

    Most studies carried out to describe the structure of bigeye tuna in the Indian Ocean did not observe signs of heterogeneity, supporting the existence of a single panmictic population in this ocean.

    “Few studies have been carried out to describe the structure of bigeye tuna in the Indian Ocean. Most of them did not observe signs of heterogeneity, supporting the existence of a single panmictic population in this ocean.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning
    § 5. Conclusions and future research directions · p. 24

    A holistic study that integrates results gained from several methods including different spatial and temporal scales will be beneficial in defining appropriate units for the management of tropical tuna species in the Indian Ocean.

    “Thus, a holistic study that integrates results gained from several methods including different spatial and temporal scales, will be beneficial in defining appropriate units for the management of tropical tuna species in the Indian Ocean.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Interpretationreasoning
    § 5. Conclusions and future research directions · p. 24

    Natural markers can contribute valuable insights of population structuring and highlight migration behaviours or population dynamics that might be sufficiently independent to guarantee spatially structured management.

    “Therefore, they can contribute valuable insights of population structuring and highlight migration behaviours or population dynamics that might be sufficiently independent to guarantee spatially structured management.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: Natural markers such as parasite tags or otolith microchemistry can inform about the degree of connectivity over an ecological time scale (individual life span).
    • Rests on an assumption: Natural markers can provide information on the environmental history experienced by individuals throughout different life stages.
54 of 54
  • The paper relies on this without support.

    Current assumptions of single stocks for yellowfin, skipjack and bigeye tuna in the Indian Ocean are based on the latest result of tag-recoveries from the RTTP-IO.

    “the current assumptions of single stocks for yellowfin, skipjack and bigeye tuna in the Indian Ocean, are based on the latest result of tag-recoveries from the RTTP-IO”
  • The paper relies on this without support.

    RTTP-IO tag-recoveries provide evidence of rapid and large-scale movements for yellowfin, skipjack and bigeye tuna.

    “which provide evidence of rapid and large-scale movements for these tuna species”
  • The paper relies on this without support.

    Tagging events do not represent the whole Indian Ocean.

    “However, tagging events do not represent the whole Indian Ocean.”
  • The paper relies on this without support.

    Distances between tag release and recovery positions do not provide a full picture of the real movements of tagged tunas.

    “Moreover, the distances between tag release and recovery positions do not provide a full picture of the real movements of tagged tunas”
  • The paper relies on this without support.

    Electronic tagging can more effectively track the real movements of tagged tunas than tag release-recovery distances.

    “which can, more effectively, be tracked by electronic tagging.”
  • The paper relies on this without support.

    Natural markers such as parasite tags or otolith microchemistry can inform about the degree of connectivity over an ecological time scale (individual life span).

    “Natural markers, such as parasite tags or otolith microchemistry, can inform about the degree of connectivity over an ecological time scale (i.e. individual life span)”
  • The paper relies on this without support.

    Natural markers can provide information on the environmental history experienced by individuals throughout different life stages.

    “and hence provide information on the environmental history experienced by individuals throughout different life stages.”
  • The paper relies on this without support.

    Each method provides information about stock structure at different spatial and/or temporal scales.

    “As each method provides information about stock structure at different spatial and/or temporal scales”
8 of 8

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Tuna larvae have a very narrow diet and are highly selective in consuming limited species of zooplankton in the shallow mixed layer.

    “They have a very narrow diet and are highly selective in their consumption of limited species of zooplankton inhabiting the shallow mixed layer (such as appendicularians, cladocerans, and cyclopoid copepods in the genera Farranula and Corycaeus) (Llopiz and Hobday, 2015; Artetxe-Arrate et al., 2021).”

    From Impacts of phytoplankton availability on bigeye tuna (Thunnus obesus) recruitment in the Indian Ocean (2024) · cites this paper as Artetxe-Arrate et al., 2021

    Section 3.2, p. 9 states that larvae and small juveniles eat planktonic organisms in the shallow mixed layer. It does not say that larvae have a very narrow diet, are highly selective, or consume only a limited set of zooplankton species; it does not name the taxa in the citing sentence. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • 2005 is placed at the beginning of the 20th century

    Minor

    The passage describes record catches as occurring at the beginning of the 20th century but dates them to 2005, which is in the 21st century.

  • Bigeye table row cites the skipjack reference

    Minor

    Table 1 attributes a bigeye spawning-season entry to IOTC 2017b, but the reference list identifies IOTC 2017b as skipjack tuna supporting information.

  • October is included in the southwest monsoon

    Minor

    The fisheries description calls July-October the southwest monsoon, whereas the paper defines that monsoon as June-September and October-November as an inter-monsoon period.

  • Yellowfin table row cites the bigeye reference

    Minor

    Table 1 attributes a yellowfin spawning-season entry to IOTC 2017a, but the reference list identifies IOTC 2017a as bigeye tuna supporting information.

4 of 4

Cites

Flagged first, then by citations

3 of the 181 references couldn’t be matched to a known paper.

Research works printed but not linked: 24

  1. Bard, 1984, Croissance de l'albacore (Thunnus albacares) Atlantique d'après les données de marquage, Rec. Doc. Sci. ICCAT, 20, 104
  2. Fonteneau, 1980, La croissance de l'albacore de l'Atlantique, Est. Rec. Doc. Sci. ICCAT, 9, 152
  3. Goujon, 2010, Biological characteristics of tuna, FAO Fish. Aquac. Dep.
  4. Govindraj, 2000, Oceanic tuna resources in the north west region of Indian EEZ, Bull. Fish. Surv. India, 27, 20
  5. Graham, 1975, Heat exchange in the yellowfin tuna, Thunnus albacares, and skipjack tuna, Katsuwonus pelamis, and the adaptive significance of elevated body temperatures in scombrid fishes, Fish. Bull., 73, 219
  6. Hassani, 1991, Sexual maturity spawning and fecundity of the yellowfin tuna (Thunnus albacares) of the Western Indian Ocean, Indo-Pacific Tuna Manag. Prog. Coll. Work. Doc., 4, 1
  7. John, 1998, Some aspects on the reproductive biology of Yellowfin tuna (Thunnus albacres) in the Bay of Bengal, Bull. Fish. Surv. India, 26, 42
  8. Joseph, 1963, Fecundity of yellowfin tuna (Thunnus albacares) and skipjack (Katsuwonus pelamis) from the Pacific Ocean, Inter-Am. Trop. Tuna Comm. Bull., 7, 257
  9. Kume, 1971, Stock structure of the Indian bigeye tuna, Thunnus obesus (Lowe), on the basis of distribution, size composition and sexual maturity, Bull. Far Seas Fish. Res. Lab, 4, 141
  10. Majid, 1991, Status of yellowfin tuna (Thuunus albacares) fishery in Pakistan, IPTP Coll. Vol. Work. Doc., 34
  11. Marsac, 1991, Growth of Indian Ocean yellowfin tuna estimated from size frequencies data collected on French purse seiners. TWS/91/17, IPTP, Coll. Vol. Work. Doc., 6, 34
  12. Marsac, 1998, Interannual and ENSO-associated variability of the coupled ocean-atmosphere system with possible impacts on the yellowfin tuna fisheries of the Indian and Atlantic oceans, Coll. Vol. Sci. Pap. ICCAT, 345
  13. Marsac, 1999, Oceanographic changes during the 1997–1998 El Niño in the Indian Ocean and their impact on the purse seine fishery. 1st session of the IOTC working party on tropical tunas, Mahe, Seychelles, 4–8/09/99. WPTT/99/03, IOTC Proc., 2, 147
  14. Morita, 1970, Some consideration on the population structure of yellowfin tuna in the Indian Ocean based on the longline fishery data, Bull. Far. Seas Fish. Res. Lab, 4, 125
  15. Nishida, 2001, RFLP analysis on single copy nuclear gene loci in yellowfin tuna (Thunnus albacares) to examine the genetic differentiation between the western and eastern, IOTC Proc., 4, 437
  16. Olivier, 2002, Study of the growth of Yellowfin tuna (Thunnus albacares) in the Western Indian Ocean based on length frequency data, IOTC Proc., 5, 316
  17. Potier, 2002, On-going research activities on trophic ecology of tuna in equatorial ecosystems of Indian Ocean, IOTC Proc., 5, 368
  18. Shuford, 2007, Elemental fingerprints in otoliths of juvenile yellowfin tuna from spawning grounds in the Atlantic Ocean, Collect. Vol. Sci. Pap. ICCAT, 60, 314
  19. Shung, 1973, The sexual activity of yellowfin tuna caught by the longline fishery in the Indian Ocean based on the examination of ovaries, Bull. Far Seas Fish. Res. Lab., 9, 123
  20. Solovieff, 1970, Distribution and biology of bigeye tuna in the Indian Ocean, Rybn. Khoz., 3, 313
  21. Stéquert, 1976, Etude de la maturité sexuelle, de la ponte et de la fécondité du listao (Katsuwonus pelamis) de la côte nord-ouest de Madagascar, Cah. ORSTOM. Série Océanographie, 14, 227
  22. Stéquert, 1996, Age and growth of yellowfin tuna, Thunnus albacares, from the western Indian Ocean, based on otolith microstructure, Oceanogr. Lit. Rev., 43
  23. Stobberup, 1998, A review of the biology of bigeye tuna, Thunnus obesus, and fisheries for this species in the Indian Ocean, 81
  24. Ye, 2003, Study on tuna longline fishery in the Eastern Indian Ocean: The Biology of Thunnus obesus Captured, Ocean Univ. Qingdao, 33, 343

Cited by

Sorted by citations

Venue
Advances in Marine Biology
Publisher
Elsevier
Published
2021
Volume
88
Pages
39-89
ISSN
0065-2881 (ISSN-L)
OpenAlex
W3094687832
Cited by
53
References
181
Citations by year
2026: 9 · 2025: 11 · 2024: 15 · 2023: 11 · 2022: 5 · 2021: 2
FWCI
15.90
Type
book chapter
Language
en
Open access
Locations
  • Advances in marine biology (publishedVersion)
  • PubMed (publishedVersion)
  • HAL (Le Centre pour la Communication Scientifique Directe) (submittedVersion)
  • Institutional Archive of Ifremer (French Research Institute for Exploitation of the Sea) (submittedVersion, other-oa)
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
tropical tuna, skipjack tuna, yellowfin tuna, bigeye tuna, Indian Ocean tuna fisheries, life history, stock structure, panmixia, biogeography, feeding ecology, growth, reproductive biology, genetic markers, otolith microchemistry, fish tagging, sustainable fisheries
MeSH terms
Animals, Fisheries, Fishes, Tuna, Indian Ocean

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-16.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-16.

Cited sources are checked by gpt-6-sol.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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