Cited by 55Marine and fisheries researchSpecies Distribution and Climate ChangeFish Ecology and Management Studies

Skipjack tuna availability for purse seine fisheries is driven by suitable feeding habitat dynamics in the Atlantic and Indian oceans

Open access
Druon, Jean-Noël, Chassot, Emmanuel, Murua, Hilario, Lopez, Jon·2017·Frontiers in Marine Science

Abstract

An Ecological Niche model was developed for skipjack tuna (Katsuwonus pelamis, SKJ) in the Eastern Central Atlantic Ocean (AO) and Western Indian Ocean (IO) using an extensive set of presence data collected by the European purse seine fleet (1998 – 2014). Chlorophyll-a fronts were used as proxy for food availability while mixed layer depth, sea surface temperature, dissolved oxygen, salinity, current intensity and height anomaly variables were selected to describe SKJ’s abiotic environmental preferences. The resultant ecological niche included both mesoscale eddy-type productive features that displayed latitudinal range in the IO to large scale upwelling systems that shrink and swell seasonally in the AO. Overall, 83% of all free swimming school sets (FSC) and 75% of drifting fish aggregating device sets (dFAD) that contained SKJ occurred within 25 km of favorable feeding habitat. In the AO, 34% of dFAD sets were made more than 100 km away from this habitat, mostly in the surface chlorophyll-a poor environment of the Guinea Current. These distant sets represent 10% of dFAD sets in the IO and 8% of all FSC sets. Our results suggest that the Mozambique Channel in the IO, with its simultaneously favorable feeding and spawning conditions, may seasonally offer a better SKJ nursery habitat than the Guinea Current which shows a substantially poorer feeding capacity. With the exception of this latter area, our results also suggest that fishing accessibility will be higher in months where the size of the favorable feeding habitats are reduced, likely because this reduction drives a geographical contraction in SKJ populations. The observed relationship between the annual size of favorable feeding habitat and both annual catch rates and total catches in the IO is consistent with the near-full exploitation of this stock that has occurred since the 2000s. Moreover, it suggests that annual habitat size could be used as an indicator of growth capacity for this highly productive stock. Habitat monitoring, as part of a dynamic fisheries management approach, should contribute to the sustainable exploitation of SKJ by providing information on the climate-dependent aspects of stock variability and the effects of dFAD deployment in food-rich habitats.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3389/fmars.2017.00315

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

  • During this northward migration, skipjack schools agglomerate in areas with high feeding resources, where they are caught in abundance.

    “During this northward migration, skipjack schools agglomerate in areas with high feeding resources (Druon et al., 2017), where they are caught in abundance (Evans et al., 1981;Fonteneau, 2015).”
  • Skipjack performs migratory movements conditioned by SST and prey availability.

    “It typically preys on small (2-5 cms) pelagic fishes, crustaceans and cephalopods (Magnuson, 1969;Roger, 1994;Druon et al., 2017), and performs migratory movements conditioned by SST and preys availability (Arrizabalaga et al., 2015;Druon et al., 2017).”

Self-check

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

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 55

  1. Andrade, H. A. (2003). The relationship between the skipjack tuna (Katsuwonus pelamis) fishery and seasonal temperature variability in the south- western Atlantic. Fish. Oceanogr. 12, 10-18. doi: 10.1046/j.1365-2419.2003. 00220.x · DOI
  2. Bakun, A. (2013). Ocean eddies, predator pits and bluefin tuna: implications of an inferred "low risk-limited payoff " reproductive scheme of a (former) archetypical top predator. Fish Fish. 14, 424-438. doi: 10.1111/faf.12002 · DOI
  3. Bard, F. (1986). "Movements of skipjack in the eastern Atlantic, from results of tagging by Japan, " in Proceedings of the ICCAT Conference on the International Skipjack Year Program (Madrid), 342-347.
  4. Benitez-Nelson, C. R., Bidigare, R. R., Dickey, T. D., Landry, M. R., Leonard, C. L., Brown, S. L., et al. (2007). Mesoscale eddies drive increased silica export in the subtropical Pacific Ocean. Science 316, 1017-1021. doi: 10.1126/science.1136221 · DOI
  5. Berthold, M., Borgelt, C., and Höppner, F. (2010). Guide to Intelligent Data Analysis. London: Springer.
  6. Dagorn, L., Holland, K. N., Restrepo, V., and Moreno, G. (2013). Is it good or bad to fish with FADs? What are the real impacts of the use of drifting FADs on pelagic marine ecosystems? Fish Fish. 14, 391-415. doi: 10.1111/j.1467-2979.2012.00478.x · DOI
  7. Davies, T. K., Mees, C. C., and Milner-Gulland, E. J. (2014). Modelling the spatial behaviour of a tropical tuna purse seine fleet. PLoS ONE 9:e114037. doi: 10.1371/journal.pone.0114037 · DOI
  8. Druon, J.-N., Fiorentino, F., Murenu, M., Knittweis, L., Colloca, F., Osio, C., et al. (2015). Modelling of European hake nurseries in the Mediterranean Sea: an ecological niche approach. Prog. Oceanogr. 130, 188-204. doi: 10.1016/j.pocean.2014.11.005 · DOI
  9. Druon, J.-N., Fromentin, J.-M., Hanke, A. R., Arrizabalaga, H., Damalas, D., Tičina, V., et al. (2016). Habitat suitability of the Atlantic bluefin tuna by size class: an ecological niche approach. Prog. Oceanogr. 142, 30-46. doi: 10.1016/j.pocean.2016.01.002 · DOI
  10. Druon, J.-N., Panigada, S., David, L., Gannier, A., Mayol, P., Arcangeli, A., et al. (2012). Potential feeding habitat of fin whales in the western Mediterranean Sea: an environmental niche model. Mar. Ecol. Prog. Ser. 464, 289-306. doi: 10.3354/meps09810 · DOI
  11. Elith, J., and Leathwick, J. R. (2009). Species distribution models: ecological explanation and prediction across space and time. Annu. Rev. Ecol. Evol. Syst. 40, 677-697. doi: 10.1146/annurev.ecolsys.110308.120159 · DOI
  12. Eveson, J. P., Hobday, A. J., Hartog, J. R., Spillman, C. M., and Rough, K. M. (2015). Seasonal forecasting of tuna habitat in the Great Australian Bight. Fish. Res. 170, 39-49. doi: 10.1016/j.fishres.2015.05.008 FAO (2014). The State of World Fisheries and Aquaculture 2014. Rome: FAO. · DOI
  13. Fiedler, P. C., and Bernard, H. J. (1987). Tuna aggregation and feeding near fronts observed in satellite imagery. Cont. Shelf Res. 7, 871-881. doi: 10.1016/0278-4343(87)90003-3 · DOI · Paper page
  14. Fonteneau, A., and Hallier, J.-P. (2015). Fifty years of dart tag recoveries for tropical tuna: a global comparison of results for the western Pacific, eastern Pacific, Atlantic, and Indian Oceans. Fish. Res. 163, 7-22. doi: 10.1016/j.fishres.2014.03.022 · DOI · Paper page
  15. Friedlaender, A. S., Johnston, D. W., Fraser, W. R., Burns, J., Patrick, N. H., and Costa, D. P. (2011). Ecological niche modeling of sympatric krill predators around Marguerite Bay, Western Antarctic Peninsula. Deep Sea Res. Part II Top. Stud. Oceanogr. 58, 1729-1740. doi: 10.1016/j.dsr2.2010.11.018 · DOI
  16. Graham, J. B., and Dickson, K. A. (2004). Tuna comparative physiology. J. Exp. Biol. 207, 4015-4024. doi: 10.1242/jeb.01267 · DOI
  17. Grande, M., Murua, H., Zudaire, I., Arsenault-Pernet, E. J., Pernet, F., and Bodin, N. (2016). Energy allocation strategy of skipjack tuna Katsuwonus pelamis during their reproductive cycle. J. Fish Biol. 89, 2434-2448. doi: 10.1111/jfb.13125 · DOI · Paper page
  18. Grande, M., Murua, H., Zudaire, I., Goni, N., and Bodin, N. (2014). Reproductive timing and reproductive capacity of the Skipjack Tuna (Katsuwonus pelamis) in the western Indian Ocean. Fish. Res. 156, 14-22. doi: 10.1016/j.fishres.2014.04.011 · DOI · Paper page
  19. Grande, M., Murua, H., Zudaire, I., and Korta, M. (2012). Oocyte development and fecundity type of the skipjack, Katsuwonus pelamis, in the Western Indian Ocean. J. Sea Res. 73, 117-125. doi: 10.1016/j.seares.2012. 06.008 · DOI · Paper page
  20. Guisan, A., and Thuiller, W. (2005). Predicting species distribution: offering more than simple habitat models. Ecol. Lett. 8, 993-1009. doi: 10.1111/j.1461-0248.2005.00792.x · DOI
  21. Hallier, J.-P., and Gaertner, D. (2008). Drifting fish aggregation devices could act as an ecological trap for tropical tuna species. Mar. Ecol. Prog. Ser. 353, 255-264. doi: 10.3354/meps07180 · DOI
  22. Hartigan, J. A. (1975). Clustering Algorithms. New York, NY: John Wiley & Sons, Herbland, A., Le Borgne, R., Le Bouteiller, A., and B. (1983). Structure hydrologique et production primaire dans l'Atlantique tropical oriental. Océanogr. Trop. 18, 249-293.
  23. Hu, C., Lee, Z., and Franz, B. (2012). Chlorophyll a algorithms for oligotrophic oceans: a novel approach based on three-band reflectance difference. J. Geophys. Res. Oceans 117, 1-25. doi: 10.1029/2011JC007395 ICCAT (2014). Report of the 2014 ICCAT East and West Atlantic Skipjack Stock Assessment Meeting. Dakar: ICCAT. · DOI
  24. Jaquemet, S., Potier, M., and Ménard, F. (2011). Do drifting and anchored Fish Aggregating Devices (FADs) similarly influence tuna feeding habits? A case study from the western Indian Ocean. Fish. Res. 107, 283-290. doi: 10.1016/j.fishres.2010.11.011 · DOI
  25. Kjesbu, O. S. (2009). "Applied fish reproductive biology: contribution of individual reproductive potential to recruitment and fisheries management, " in Fish Reproductive Biology: Implications for Assessment and Management, eds T. Jakobsen, M. J. Fogarty, B. A. Megrey and E. Moksness (Oxford, UK: Wiley- Blackwell). doi: 10.1002/9781444312133.ch8 · DOI
  26. Kleiber, P., Argue, A. W., and Kearney, R. E. (1987). Assessment of Pacific skipjack tuna (Katsuwonus pelamis) resources by estimating standing stock and components of population turnover from tagging data. Can. J. Fish. Aquat. Sci. 44, 1122-1134. doi: 10.1139/f87-135 · DOI
  27. Lehodey, P., André, J.-M., Bertignac, M., Stoens, A., Menkes, C., Memery, L., et al. (1998). Tuna and environment: predicting skipjack forage distributions inthe Equatorial Pacific using coupled bio-geochemical models. Fish. Oceanogr. 7, 317-325. doi: 10.1046/j.1365-2419.1998.00063.x · DOI · Paper page
  28. Leidenberger, S., Obst, M., Kulawik, R., Stelzer, K., Heyer, K., Hardisty, A., et al. (2015). Evaluating the potential of ecological niche modelling as a component in marine non-indigenous species risk assessments. Mar. Pollut. Bull. 97, 470-487. doi: 10.1016/j.marpolbul.2015.04.033 · DOI
  29. Leroy, B., Itano, D. G., Usu, T., Nicol, S. J., Holland, K. N., and Hampton, J. (2009). "Vertical behavior and the observation of FAD effects on tropical tuna in the warm-pool of the Western Pacific Ocean, " in Tagging and Tracking of Marine Animals with Electronic Devices. Reviews: Methods and Technologies in Fish Biology and Fisheries, Vol. 9, eds J. L. Nielsen, H. Arrizabalaga, N. Fragoso, A. Hobday, M. Lutcavage and J. Sibert (Springer, Dordrecht), 161-179.
  30. Leroy, B., Nicol, S., Lewis, A., Hampton, J., Kolody, D., Caillot, S., et al. (2015). Lessons learned from implementing three, large-scale tuna tagging programmes in the western and central Pacific Ocean. Fish. Res. 163, 23-33. doi: 10.1016/j.fishres.2013.09.001 · DOI
  31. Longhurst, A. R., and Pauly, D. (1987). Ecology of Tropical Oceans. New York, NY: Academic Press.
  32. Lopez, J., Moreno, G., Lennert-Cody, C., Maunder, M., Sancristobal, I., Caballero, A., et al. (2017). Environmental preferences of tuna and non-tuna species associated with drifting fish aggregating devices (DFADs) in the Atlantic Ocean, ascertained through fishers' echo-sounder buoys. Deep Sea Res. Part II Top. Stud. Oceanogr. 140, 127-138. doi: 10.1016/j.dsr2.2017.02.007 · DOI
  33. Lopez, J., Moreno, G., Sancristobal, I., and Murua, J. (2014). Evolution and current state of the technology of echo-sounder buoys used by Spanish tropical tuna purse seiners in the Atlantic, Indian and Pacific Oceans. Fish. Res. 155, 127-137. doi: 10.1016/j.fishres.2014.02.033 · DOI
  34. Magnuson, J. J. (1969). Digestion and food consumption by skipjack tuna (Katsuwonus pelamis). Trans. Am. Fish. Soc. 98, 379-392. doi: 10.1577/1548- 8659(1969)98[379:DAFCBS]2.0.CO;2 · DOI
  35. Marcelino, V. R., and Verbruggen, H. (2015). Ecological niche models of invasive seaweeds. J. Phycol. 51, 606-620. doi: 10.1111/jpy.12322 · DOI
  36. McBride, R. S., Somarakis, S., Fitzhugh, G. R., Albert, A., Yaragina, N. A., Wuenschel, M. J., et al. (2015). Energy acquisition and allocation to egg production in relation to fish reproductive strategies. Fish Fish. 16, 23-57. doi: 10.1111/faf.12043 · DOI
  37. Ménard, F., Stéquert, B., Rubin, A., Herrera, M., and Marchal, É. (2000). Food consumption of tuna in the Equatorial Atlantic ocean: FAD- associated vs. unassociated schools. Aquat. Living Resour. 13, 233-240. doi: 10.1016/S0990-7440(00)01066-4 · DOI
  38. Mugo, R. M., Saitoh, S.-I., Takahashi, F., Nihira, A., and Kuroyama, T. (2014). Evaluating the role of fronts in habitat overlaps between cold and warm water species in the western North Pacific: a proof of concept. Deep Sea Res. Part II Top. Stud. Oceanogr. 107, 29-39. doi: 10.1016/j.dsr2.2013.11.005 · DOI
  39. Murua, H., Eveson, J. P., and Marsac, F. (2015). The Indian Ocean Tuna Tagging Programme: building better science for more sustainability. Fish. Res. 163, 1-6. doi: 10.1016/j.fishres.2014.07.001 · DOI · Paper page
  40. Nakamura, E. L. (1968). Visual acuity of two tunas, Katsuwonus pelamis and Euthynnus affinis. Copeia 1968, 41-49. doi: 10.2307/1441548. Available online at: https://www.jstor.org/stable/1441548?seq=1#page_scan_tab_contents · DOI
  41. Oddo, P., Adani, M., Pinardi, N., Fratianni, C., Tonani, M., and Pettenuzzo, D. (2009). A nested Atlantic-Mediterranean Sea general circulation model for operational forecasting. Ocean Sci. Discuss. 6, 1093-1127. doi: 10.5194/osd-6-1093-2009 · DOI
  42. Olson, D. B., Hitchcock, G. L., Mariano, A. J., Ashjian, C. J., Peng, G., Nero, R. W., et al. (1994). Life on the edge: marine life and fronts. Oceanography 7, 52-60. doi: 10.5670/oceanog.1994. · DOI
  43. Pérez, V., Fernández, E., Mara-ón, E., Serret, P., and García-Soto, C. (2005). Seasonal and interannual variability of chlorophyll a and primary production in the Equatorial Atlantic: in situ and remote sensing observations. J. Plankton Res. 27, 189-197. doi: 10.1093/plankt/fbh159 · DOI
  44. Peterson, A. T., and Soberón, J. (2012). Species distribution modeling and ecological niche modeling: getting the concepts right. Nat. Conserv. 10, 102-107. doi: 10.4322/natcon.2012.019 · DOI · Paper page
  45. Polovina, J. J., Howell, E., Kobayashi, D. R., and Seki, M. P. (2001). The transition zone chlorophyll front, a dynamic global feature defining migration and forage habitat for marine resources. Prog. Oceanogr. 49, 469-483. doi: 10.1016/S0079-6611(01)00036-2 · DOI
  46. Polovina, J., Uchida, I., Balazs, G., Howell, E. A., Parker, D., and Dutton, P. (2006). The Kuroshio Extension Bifurcation Region: a pelagic hotspot for juvenile loggerhead sea turtles. Deep Sea Res. Part II Top. Stud. Oceanogr. 53, 326-339. doi: 10.1016/j.dsr2.2006.01.006 · DOI
  47. Roger, C. (1994). Relationships yellowfin and skipjack tuna, their prey-fish and plankton in the tropical western Indian Ocean. Fish. Oceanogr. 3, 133-141. doi: 10.1111/j.1365-2419.1994.tb00055.x · DOI
  48. Stéquert, B., and Ramcharrun, R. (1996). La reproduction du listao (Katsuwonus pelamis) dans le bassin ouest de l'océan Indien. Living Resour. 9, 235-247. doi: 10.1051/alr:1996027 · DOI
  49. Sund, P. N., Blackburn, M., and Williams, F. (1981). Tunas and their environment in the Pacific Ocean: a review. Ocean. Mar. Biol. Ann. Rev. 19, 443-512.
  50. Tanabe, T., Kiyofuji, H., Shimizu, Y., and Ogura, M. (2017). Vertical distribution of juvenile skipjack Tuna Katsuwonus pelamis in the tropical Western Pacific Ocean. Jpn. Agric. Res. Q. 51, 181-189. doi: 10.6090/jarq.51.181 · DOI
  51. Teo, S. L. H., and Block, B. A. (2010). Comparative influence of ocean conditions on yellowfin and atlantic bluefin tuna catch from longlines in the Gulf of Mexico. PLoS ONE 5:e10756. doi: 10.1371/journal.pone.0010756 · DOI · Paper page
  52. Tew Kai, E., and Marsac, F. (2010). Influence of mesoscale eddies on spatial structuring of top predators' communities in the Mozambique Channel. Prog. Oceanogr. 86, 214-223. doi: 10.1016/j.pocean.2010.04.010 · DOI
  53. Ullman, D. S., and Cornillon, P. C. (2000). Evaluation of front detection methods for satellite-derived SST data using in situ observations. J. Atmos. Ocean. Technol. 17, 1667-1675. doi: 10.1175/1520-0426(2000)017<1667:EOFDMF>2. · DOI
  54. CO;2 · DOI
  55. Wild, A., and Hampton, J. (1994). A Review of the Biology and Fisheries for skipjack tuna, Katsuwonus pelamis, in the Pacific Ocean. FAO Fish. Tech. Pap. FAO.

Cited by

Sorted by citations

Authors
Druon, J.-N., Chassot, E., Murua, H., & Lopez, J.
Affiliations
  • European Commission (BE)
  • Centre National de la Recherche Scientifique (FR)
Corresponding author
Druon, Jean-Noël
Venue
Frontiers in Marine Science
Published
2017-10-10
Volume
4
ISSN
2296-7745 (ISSN-L)
OpenAlex
W2762439716
Cited by
55
References
5
Citations by year
2026: 7 · 2025: 5 · 2024: 5 · 2023: 6 · 2022: 6 · 2021: 11 · 2020: 8 · 2019: 5 · 2018: 2
FWCI
2.84
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Frontiers in Marine Science (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Joint Research Centre (European Commission) (submittedVersion, cc-by)
Funders
  • National Aeronautics and Space Administration
  • European Commission (665/2008, 199/2008)
  • Centre National de la Recherche Scientifique
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Marine and fisheries research
  • Physical Sciences › Environmental Science › Ecological Modeling › Species Distribution and Climate Change
  • Physical Sciences › Environmental Science › Nature and Landscape Conservation › Fish Ecology and Management Studies
Keywords
skipjack tuna, ecological niche modeling, foraging habitat, purse seine fishing, drifting fish aggregating devices, upwelling systems, mesoscale eddies, Mozambique Channel, Guinea Current, nursery grounds, stock depletion, Eastern Central Atlantic, Western 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.

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.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review