Cited by 54Marine and fisheries researchFish Ecology and Management StudiesSpecies Distribution and Climate Change

Shift in Tuna Catches Due to Ocean Warming

Open access
Monllor-Hurtado, Alberto, Pennino, Maria Grazia, Sanchez-Lizaso, José Luis·2017·PLoS ONE

Abstract

Ocean warming is already affecting global fisheries with an increasing dominance of catches of warmer water species at higher latitudes and lower catches of tropical and subtropical species in the tropics. Tuna distributions are highly conditioned by sea temperature, for this reason and their worldwide distribution, their populations may be a good indicator of the effect of climate change on global fisheries. This study shows the shift of tuna catches in subtropical latitudes on a global scale. From 1965 to 2011, the percentage of tropical tuna in longliner catches exhibited a significantly increasing trend in a study area that included subtropical regions of the Atlantic and western Pacific Oceans and partially the Indian Ocean. This may indicate a movement of tropical tuna populations toward the poles in response to ocean warming. Such an increase in the proportion of tropical tuna in the catches does not seem to be due to a shift of the target species, since the trends in Atlantic and Indian Oceans of tropical tuna catches are decreasing. Our results indicate that as populations shift towards higher latitudes the catches of these tropical species did not increase. Thus, at least in the Atlantic and Indian Oceans, tropical tuna catches have reduced in tropical areas.

AI snapshot

Written from the paper’s full text.

TL;DR

Using longliner catch data from 1965–2011, the study finds that the percentage of tropical tuna in catches increased in subtropical Atlantic and Pacific areas and was positively related to SST across oceans and hemispheres, consistent with poleward shifts of tropical tuna. In the Atlantic and Indian Oceans, tropical tuna catches decreased in tropical areas, suggesting the increased subtropical proportion was not simply a target-species shift.

Key findings

  • SST had a positive effect on expected tropical tuna percentage in all oceans and hemispheres. For a one-degree SST rise, the expected proportion increased by 1.46 in the North Atlantic and 1.32 in the South Atlantic; 1.34 in the North Pacific and 1.27 in the South Pacific; and 1.25 in the North Indian and 1.19 in the South Indian (text values; Table 2 gives South Indian median 1.20).
  • The year × latitude interaction was positive in the northern hemisphere for all three oceans, indicating a constant shift of tropical species toward higher latitudes; in the southern hemisphere the relationship was negative except for the Indian Ocean, which was positive.
  • The percentage of tropical tuna increased in subtropical Atlantic and Pacific areas, while the Indian Ocean pattern was not totally clear and subtropical %trop showed the opposite trend in the last five years of the series. Overall %trop showed no clear pattern: it tended to increase in the Atlantic and Pacific and decrease in the Indian Ocean.
  • Tropical tuna catches showed a decreasing trend in the Atlantic and Indian Oceans, which the authors say may indicate the increased %trop was not related to a change in fishing strategy, at least in the Atlantic. Catches increased only in the Pacific, both overall and in subtropical areas; effort increased in the Atlantic and Pacific and decreased in the Indian Ocean.

Methods

  • Longliner catch and effort data came from ICCAT, WCPFC, and IOTC; SST data came from NOAA’s Extended Reconstructed Sea Surface Temperature V3b. Data covered 1965–2011 (1967–2011 in the Indian Ocean), were converted to annual 5×5° grid values, and only grid cells with SST and catch data for at least 35 years were included.
  • The percentage of tropical species (skipjack and yellowfin) in longliner catch was modeled with a Bayesian beta regression including year, SST, latitude, and a latitude × year interaction, run separately by ocean and hemisphere using R-INLA. Models were selected with WAIC; vague zero-mean Gaussian priors with variance 100 were used for fixed effects.
  • Spatial maps were obtained by Bayesian kriging aggregated per decade, showing differences between first and last decades. Time trends in %trop, effort, total catches, and SST were smoothed with lowess, with bootstrap percentile 95% confidence intervals, both for the entire dataset and for subtropical regions (20–30N, 20–30S).

Limitations

  • Stated: stock trends, catch regulations, and market demands could significantly affect species targeting and catches, so SST may be only a partial driver of the trends identified. The authors focused on the proportion of tropical tunas rather than total catch to avoid these external biases.
  • Stated: data are analyzed on a yearly time scale, so seasonal patterns can be lost; yearly data were chosen because the aim was a first worldwide long-term series assessment.
  • Evident from the text: the Indian Ocean pattern is less clear, with subtropical %trop showing the opposite trend in the last five years, and the authors call for further analysis using 2011–2017 data to better define it.

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

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0178196

Cites

25 of 25 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

6 of 37 cited sources checked · 2 supported · 0 flagged · accuracy not yet measured

  • Premisecitation

    Shifts in the ecology and biogeography of marine fishes may be useful indicators of climate changes.

    “Shifts in the ecology and biogeography of marine fishes may be useful indicators of climate changes [13].”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites [13] M Arvedlund, 2009, First records of unusual marine fish distributions—can they predict climate changes?, J Mar Biol Assoc U K source
  • Premisecitation

    In response to ocean warming, marine populations tend to move toward the poles and deeper depths.

    “In response to ocean warming, marine populations tend to move toward the poles and deeper depths [4–7].”
    Quote in the paperSubstantial claim2 of 4 sources checked
    • cites [4] AL Perry, 2005, Climate change and distribution shifts in marine fishes, Science source
    • cites [5] T. Anker-Nilssen, 2008, The effect of climate change on the distribution and abundance of marine species in the OSPAR Maritime Area

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

    • cites [6] NK Dulvy, 2008, Climate change and deepening of the North Sea fish assemblage: a biotic indicator of warming seas, J Appl Ecol source

      The Abstract reports that the North Sea demersal fish assemblage deepened as waters warmed, and that abundant, widespread thermal specialists shifted northward. But it also describes southward shifts in other species; the Discussion says these opposing shifts produced no overall latitudinal response. The paper therefore supports the depth trend and a qualified poleward trend, not an unqualified tendency across marine populations. (LLM, conf=0.86)

      Experimental — accuracy not yet measured
    • cites [7] WW Cheung, 2011, Integrating ecophysiology and plankton dynamics into projected maximum fisheries catch potential under climate change in the Northeast Atlantic, ICES J Mar Sci source

      The Results report that most of the 120 studied fish and invertebrates in the Northeast Atlantic were projected to shift northward, with distribution centroids also moving into deeper water between 2005 and 2050. This supports the direction of the claim, but the source presents a regional model projection under climate-change scenarios, not a general observed tendency across marine populations in response to warming alone. (LLM, conf=0.83)

      Experimental — accuracy not yet measured
  • Premisecitation

    Distributions of North Sea and Northeast Atlantic fishes responded markedly to ocean warming, shifting in intermediate latitudes.

    “However, distributions of North Sea and Northeast Atlantic fishes responded markedly to ocean warming, shifting in intermediate latitudes [4, 5].”
    Quote in the paperSubstantial claim1 of 2 sources checked
    • cites [4] AL Perry, 2005, Climate change and distribution shifts in marine fishes, Science source
    • cites [5] T. Anker-Nilssen, 2008, The effect of climate change on the distribution and abundance of marine species in the OSPAR Maritime Area

      Section 3.3.5 reports substantial changes in fish distributions across the OSPAR regions, including latitudinal shifts consistent with warming. But section 3.3.3 says the changes were most prominent in the northern OSPAR area and cannot be attributed unequivocally to climate because other factors, particularly fishing, may matter. The source therefore does not fully support the claim's unqualified attribution to warming or its specification of intermediate latitudes. (LLM, conf=0.84)

      Experimental — accuracy not yet measured
  • Interpretationcitation

    If the trend towards ocean warming continues, the prospects point to large scale redistribution in fishery catches in the near future.

    “If this trend towards ocean warming continues [3], the prospects point to large scale redistribution in fishery catches in the near future [21, 22].”
    Quote in the paperSubstantial claim1 of 3 sources checked
    • cites [3] Stocker TF, Qin D, Plattner G, Tignor M, Allen SK, Boschung J, et al. Observations: Ocean. In: Climate change 2013: The physical science basis. Intergovernmental Panel on Climate Change, Working Group I Contribution to the IPCC Fifth Assessment Report (AR5) (Cambridge Univ Press, New York) 2013.

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

    • cites [21] S Ferrari, 2004, Beta regression for modeling rates and proportions, J Appl Stat source
    • cites [22] I Paradinas, 2016, Identifying the best fishing-suitable areas under the new European discard ban, ICES Journal of Marine Science: Journal du Conseil source

      The Introduction discusses spatial maps for minimizing by-catch and discards, while the Results and Discussion address discard patterns in the study area. Searched the indexed copy for ocean warming, climate change, and redistribution of fishery catches; no passage addresses a warming-driven, large-scale redistribution of catches in the near future. The absence of a local temporal trend in discard ratios does not contradict that broader projection. (LLM, conf=0.76)

      Experimental — accuracy not yet measured
  • Findingown data

    From 1965 to 2011, the percentage of tropical tuna in longliner catches exhibited a significantly increasing trend in a study area that included subtropical regions of the Atlantic and western Pacific Oceans and partially the Indian Ocean.

    “From 1965 to 2011, the percentage of tropical tuna in longliner catches exhibited a significantly increasing trend in a study area that included subtropical regions of the Atlantic and western Pacific Oceans and partially the Indian Ocean.”
    Quote in the paperSubstantial claim
  • May combine two claims. 17
  • The quote only partly states this claim. 7
  • Classified as probably not a substantial claim. 8
  • May combine two claims.

    Premisecitation

    The beta distribution is very flexible in terms of shape and fulfils the required characteristics for modeling proportions.

    “The beta distribution contrasts with this and is very flexible in terms of shape and fulfils the required characteristics [22].”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites [22] I Paradinas, 2016, Identifying the best fishing-suitable areas under the new European discard ban, ICES Journal of Marine Science: Journal du Conseil source
  • May combine two claims.

    Findingown data

    A positive relationship for year appeared for almost all ocean models, although the pattern differed for the Indian Ocean in the northern hemisphere.

    “A positive relationship for year appeared for almost all ocean models, although for the Indian the pattern was different in the northern hemisphere (Table 2).”
    Quote in the paperSubstantial claim
  • The quote only partly states this claim.

    Findingown data

    When overall data were analyzed, the percentage of tropical tuna tended to increase in the Atlantic and Pacific oceans.

    “In particular, the %trop tended to increase in the Atlantic and Pacific oceans, and decrease in the Indian ocean (Fig 2).”
    Quote in the paperNot a substantial claim
  • The quote only partly states this claim.

    Findingown data

    In the Indian Ocean southern hemisphere, a one degree rise in SST is expected to increase the proportion of tropical tuna by 1.19 (95% credible interval 1.09 to 1.75).

    “The Indian Ocean showed the lowest increase, 1.25 in the northern hemisphere and 1.19 in the southern.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Catches showed an increasing trend only in the Pacific, both overall and in the subtropical areas.

    “Catches showed an increasing trend only in the Pacific, both overall and in the subtropical areas, while a decreasing trend was found for the Atlantic and Indian oceans during recent decades (Fig 2 and Fig 3).”
    Quote in the paperSubstantial claim
  • The quote only partly states this claim.

    Findingown data

    In the Pacific southern hemisphere, a one degree rise in SST is expected to increase the proportion of tropical tuna by 1.27 (95% credible interval 1.14 to 2.01).

    “Similarly, in the Pacific, the increase was 1.34 in the northern hemisphere and 1.27 in the southern.”
    Quote in the paperSubstantial claim
  • May combine two claims. The quote only partly states this claim.

    Findingown data

    In the Indian Ocean northern hemisphere, a one degree rise in SST is expected to increase the proportion of tropical tuna by 1.25 (95% credible interval 1.08 to 1.82), the lowest increase among the oceans.

    “The Indian Ocean showed the lowest increase, 1.25 in the northern hemisphere and 1.19 in the southern.”
    Quote in the paperSubstantial claim
  • The quote only partly states this claim.

    Findingown data

    In the Atlantic northern hemisphere, a one degree rise in SST is expected to increase the proportion of tropical tuna by 1.46 (95% credible interval 1.15 to 2.36).

    “In the Atlantic, results showed that for a one degree rise in SST the proportion of tropical tuna is expected to increase by 1.46 in the northern hemisphere and by 1.32 in the southern (Table 2).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingnone given

    In the Indian Ocean, similarly to the Atlantic Ocean, tropical tuna catches showed a decreasing pattern, as did the fishing effort.

    “Furthermore, similarly to the Atlantic Ocean, tropical tuna catches showed a decreasing pattern, as did the fishing effort.”
    Quote in the paperNot a substantial claim
  • The quote only partly states this claim.

    Findingown data

    In the Pacific northern hemisphere, a one degree rise in SST is expected to increase the proportion of tropical tuna by 1.34 (95% credible interval 1.12 to 1.72).

    “Similarly, in the Pacific, the increase was 1.34 in the northern hemisphere and 1.27 in the southern.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingreasoning

    Latitude showed a negative relationship in the northern hemisphere and a positive pattern in the southern hemisphere, where negative values were used for latitudes.

    “In particular, latitude showed a negative relationship in the northern hemisphere, against a positive pattern in the southern since negative values were used for southern hemisphere latitudes.”
    Quote in the paperNot a substantial claim
  • The quote only partly states this claim.

    Findingown data

    In the Atlantic southern hemisphere, a one degree rise in SST is expected to increase the proportion of tropical tuna by 1.32 (95% credible interval 1.15 to 1.95).

    “In the Atlantic, results showed that for a one degree rise in SST the proportion of tropical tuna is expected to increase by 1.46 in the northern hemisphere and by 1.32 in the southern (Table 2).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisecitation

    Temperate tuna are found in waters as cold as 10°C or colder, but can also be found in tropical waters.

    “Tropical tunas are found in waters with temperatures higher than 18°C (although they can dive to colder waters), whereas temperate tuna are found in waters as cold as 10°C or colder, but can also be found in tropical waters [14, 18].”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [14] M Goujon, 2000, Biological characteristics of tuna

      Not checked in the free run.

    • cites [18] RW Brill, 1994, A review of temperature and oxygen tolerance studies of tunas pertinent to fisheries oceanography, movement models and stock assessments, Fish Oceanogr source
  • May combine two claims.

    Premisecitation

    The arcsine square root transformation has drawbacks and inferences can be misleading.

    “This kind of data has frequently been modeled by transforming the dependent variable using the arcsine square root transformation [19, 20]. However, the approach has several drawbacks and inferences can be misleading.”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites [19] Sokal RR. and Rohlf FJ. Biometry. W. H. Freeman and Co., New York 1995. <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://books.google.es/books?id¼N6KCNw5NHNkC" xlink:type="simple">https://books.google.es/books?id¼N6KCNw5NHNkC</ext-link>.

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

    • cites [20] JH Zar, 1999, Biostatistical Analysis

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    Tropical tunas are found in waters with temperatures higher than 18°C, although they can dive to colder waters.

    “Tropical tunas are found in waters with temperatures higher than 18°C (although they can dive to colder waters), whereas temperate tuna are found in waters as cold as 10°C or colder, but can also be found in tropical waters [14, 18].”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites [14] M Goujon, 2000, Biological characteristics of tuna

      Not checked in the free run.

    • cites [18] RW Brill, 1994, A review of temperature and oxygen tolerance studies of tunas pertinent to fisheries oceanography, movement models and stock assessments, Fish Oceanogr source
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Locally weighted scatterplot smoothing (lowess) is an outlier-resistant method that estimates a polynomial regression curve using local fitting.

    “we smoothed the time series using locally weighted scatterplot smoothing (lowess), an outlier-resistant method that estimates a polynomial regression curve using local fitting [27].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [27] RB Cleveland, 1979, Robust locally-weighted regression and smoothing scatterplots, J. Amer. Statist. Assoc source
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    Data are analyzed on a yearly time scale and seasonal patterns can be lost in such an approach.

    “Moreover, data are analyzed on a yearly time scale and seasonal patterns can be lost in such an approach.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationreasoning

    A large scale redistribution in fishery catches would affect the most vulnerable economies in the world.

    “This would affect the most vulnerable economies in the world.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisereasoning

    The symmetry of the normal distribution can result in nonsensical predictions, with confidence intervals outside the [0, 1] range.

    “Unfortunately, the symmetry of the normal distribution can result in nonsensical predictions, which means that confidence intervals are outside the [0, 1] range.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Premisecitation

    Ocean warming has already been affecting global fisheries, resulting in an increasing dominance of catches of warmer water species at higher latitudes during the past four decades.

    “That study showed that ocean warming has already been affecting global fisheries, resulting in an increasing dominance of catches of warmer water species at higher latitudes during the past four decades [19].”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [19] Sokal RR. and Rohlf FJ. Biometry. W. H. Freeman and Co., New York 1995. <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://books.google.es/books?id¼N6KCNw5NHNkC" xlink:type="simple">https://books.google.es/books?id¼N6KCNw5NHNkC</ext-link>.

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

  • May combine two claims.

    Interpretationown data

    In the Pacific, the increase in effort and total catch together with %trop highlights a possible change in fisheries strategy or a spatial displacement of the fishery to higher latitudes.

    “The effort and total catch increase together with %trop, highlighting a possible change in the fisheries strategy or a spatial displacement of the fishery to higher latitudes.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisecitation

    Although warming will be most pronounced at high latitudes, countries most vulnerable to warming-related effects on fisheries lie in the tropics.

    “Although warming will be most pronounced at high latitudes, countries most vulnerable to warming-related effects on fisheries lie in the tropics [23].”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [23] 2016, R: a language and environment for statistical computing

      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).

    Study design and conductcitation

    Applying a bootstrap technique with the percentile method to each time series yields a 95% confidence interval for the original lowess fit.

    “In addition, we applied a bootstrap technique to each time series with the percentile method, in order to account for the variability in the original lowess fit. With this methodology, each series would have a 95% confidence interval for the original lowess [28, 29].”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [28] L. Held, 2010, StatiscialModelling and Regression Structures source
    • cites [29] H. Rue, 2009, Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations, Journal of the Royal Statistical Society: Series B source
  • May combine two claims.

    Interpretationown data

    The reduction of tropical tuna catches in tropical areas of the Atlantic and Indian Oceans is due to populations shifting towards higher latitudes, since the poleward expansion of these tropical species did not increase their catches.

    “At least in the Atlantic and Indian, our results indicate that tropical tuna catches have reduced in tropical areas, as populations shift towards higher latitudes, since the expansion towards the poles of these tropical species did not increase their catches.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductcitation

    Vague zero-mean Gaussian priors with a variance of 100 were assigned to the fixed effects; these priors approximate non-informative priors designed to have little influence on the posterior distribution.

    “Vague zero-mean Gaussian prior distributions with a variance of 100 were assigned for the fixed effects, as recommended by Held et al. (2010) [25]. These priors are approximations of non-informative priors designed to have little influence on posterior distribution.”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Held et al. (2010) source
    • cites [25] L. Held, 2010, Statistical Modelling and Regression Structures source
  • Probably not a substantial claim: may not pass S4 (based). May combine two claims.

    Study design and conductnone given

    Stock trends, catch regulations and market demands could also have significant effects on species targeting and catches.

    “Firstly, stock trends, catch regulations and market demands could also have significant effects on species targeting and catches.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    In the upper 75 m of the ocean, the global average warming trend has been 0.11°C per decade over the period 1971-2010.

    “In the upper 75 m of the ocean, the global average warming trend has been 0.11°C per decade over the period 1971–2010 [3].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [3] Stocker TF, Qin D, Plattner G, Tignor M, Allen SK, Boschung J, et al. Observations: Ocean. In: Climate change 2013: The physical science basis. Intergovernmental Panel on Climate Change, Working Group I Contribution to the IPCC Fifth Assessment Report (AR5) (Cambridge Univ Press, New York) 2013.

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

27 of 27
  • The paper relies on this without support.

    The percentage of tropical tuna in longliner catches reflects the relative abundance or spatial distribution of tropical tuna populations.

    “This may indicate a movement of tropical tuna populations toward the poles in response to ocean warming.”
    “Our results indicate that as populations shift towards higher latitudes the catches of these tropical species did not increase.”
  • The paper relies on this without support.

    The study area (subtropical regions of the Atlantic and western Pacific Oceans and partially the Indian Ocean) is representative of global subtropical latitudes.

    “This study shows the shift of tuna catches in subtropical latitudes on a global scale.”
    “a study area that included subtropical regions of the Atlantic and western Pacific Oceans and partially the Indian Ocean”
  • The paper relies on this without support.

    The observed trends in catch composition are not due to changes in fishing gear, regulations, or reporting.

    “Such an increase in the proportion of tropical tuna in the catches does not seem to be due to a shift of the target species, since the trends in Atlantic and Indian Oceans of tropical tuna catches are decreasing.”
  • The paper relies on this without support.

    The species composition of longliner catches (%trop) reflects the distribution and abundance of tropical tuna populations, not only changes in fishing strategy or fleet behaviour.

    “In addition, tropical tuna catches show a descending trend in the Atlantic, which may be taken as an indicator that the increased %trop was not related to a change in fishing strategy, at least in this ocean.”
  • The paper relies on this without support.

    Tropical tunas are characterized by small to medium size, rapid growth, early age-at-maturity, long spawning duration and short life span.

    “Tropical tunas are characterized by small to medium size, rapid growth, early age-at-maturity, long spawning duration and short life span.”
5 of 5

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.

  • Cheung et al. citation points to a different study

    Minor

    The discussion identifies reference 19 as Cheung et al. (2013), but reference 19 is Sokal and Rohlf (1995).

  • Indian southern latitude is called an exception to a positive pattern

    Minor

    The preceding statement says latitude has a positive relationship in the southern hemisphere. Calling the Indian Ocean's positive southern-hemisphere relationship the only exception contradicts that description.

  • Several Table 2 credible-interval bounds are reversed

    Minor

    Table 2 labels its columns Q0.025 and Q0.975, but the Atlantic NorthH latitude row gives −1.09 for the lower quantile and −2.05 for the upper quantile. The same reversal occurs in five other rows.

  • Figure 2 caption gives the wrong Indian Ocean start year

    Minor

    The methods specify that the Indian Ocean series begins in 1967, but the caption assigns a 1965 start to the time series for all three oceans.

  • Indian southern SST estimate differs between prose and table

    Minor

    The results text reports 1.19 for the Indian Ocean southern hemisphere, whereas the selected-model summary reports 1.20.

5 of 5

Cites

Flagged first, then by citations

Research works printed but not linked: 2

  1. Stocker TF, Qin D, Plattner G, Tignor M, Allen SK, Boschung J, et al. Observations: Ocean. In: Climate change 2013: The physical science basis. Intergovernmental Panel on Climate Change, Working Group I Contribution to the IPCC Fifth Assessment Report (AR5) (Cambridge Univ Press, New York) 2013.
  2. H. Rue, 2009, Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations, Journal of the Royal Statistical Society: Series B, 71, 319, 10.1111/j.1467-9868.2008.00700.x · DOI · Paper page

Cited by

Sorted by citations

Authors
Monllor-Hurtado, A., Pennino, M. G., & Sanchez-Lizaso, J. L.
Affiliations
University of Alicante (ES)
Venue
PLoS ONE
Published
2017-06-07
Volume
12
Issue
6
Pages
e0178196
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2623350510
Cited by
54
References
24
Citations by year
2026: 3 · 2025: 9 · 2024: 9 · 2023: 7 · 2022: 6 · 2021: 8 · 2020: 6 · 2019: 4 · 2018: 2
FWCI
2.24
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion, cc-by)
  • Europe PMC (PubMed Central) (submittedVersion, cc-by)
  • PubMed Central (submittedVersion, cc-by)
  • LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • Figshare (submittedVersion, cc-by)
  • RUA, Repositorio Institucional de la Universidad de Alicante (Universidad de Alicante) (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
  • Physical Sciences › Environmental Science › Ecological Modeling › Species Distribution and Climate Change
Keywords
tuna catch, ocean warming, climate change impacts on fisheries, tropical tuna, longline catch, range shifts, sea surface temperature, Atlantic Ocean, Indian Ocean, western Pacific, catch trends
MeSH terms
Animals, Fisheries, Geography, Models, Theoretical, Numerical Analysis, Computer-Assisted, Oceans and Seas, Temperature, Time Factors, Tropical Climate, Tuna, Global Warming

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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.

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

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Statistics and arithmetic are recomputed, not judged.

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