Skipjack tuna availability for purse seine fisheries is driven by suitable feeding habitat dynamics in the Atlantic and Indian oceans
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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.
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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).”
From African desert dust influences migrations and fisheries of the Atlantic skipjack-tuna (2023) · cites this paper as Druon et al., 2017
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).”
From African desert dust influences migrations and fisheries of the Atlantic skipjack-tuna (2023) · cites this paper as Druon et al., 2017
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Global habitat preferences of commercially valuable tuna
Arrizabalaga, H., Dufour, F., Kell, L., Merino, G., Ibaibarriaga, L., Chust, G., Irigoien, X., Santiago, J., Murua, H., Fraile, I., et al. (2015) · Deep Sea Research Part II: Topical Studies in Oceanography · doi:10.1016/j.dsr2.2014.07.001 · Cited by 194 · cited 7× · see citing works
“SKJ habitat is associated with a sea surface temperature (SST) range between 18 and 30◦C (Barkley et al., 1978), with a preferred range between 23 and 28◦C (e.g., Arrizabalaga et al., 2015).”
BackgroundMethodResultInfluentialMUGO, R., SAITOH, S., NIHIRA, A., & KUROYAMA, T. (2010) · Fisheries Oceanography · doi:10.1111/j.1365-2419.2010.00552.x · Cited by 149 · cited 2× · see citing works
“Using generalized additive models to associate SST, chlorophyll-a concentrations (CHL), sea surface height anomalies (SSHa), and eddy kinetic energy at weekly and monthly time scales, Mugo et al. (2010) undertook a more detailed analysis of SKJ habitat in the North Pacific Ocean.”
BackgroundMethodAssociation between bluefin tuna schools and oceanic features in the western Mediterranean
Royer, F., Fromentin, J., & Gaspar, P. (2004) · Marine Ecology Progress Series · doi:10.3354/meps269249 · Cited by 107 · see citing works
Murua, H., Rodriguez-Marin, E., Neilson, J. D., Farley, J. H., & Juan-Jordá, M. J. (2017) · Reviews in Fish Biology and Fisheries · doi:10.1007/s11160-017-9474-1 · Cited by 89 · see citing works
Self-citationModelling the skipjack tuna dynamics in the Indian Ocean with APECOSM-E: Part 1. Model formulation
Dueri, S., Faugeras, B., & Maury, O. (2012) · Ecological Modelling · doi:10.1016/j.ecolmodel.2012.02.007 · Cited by 36 · see citing works
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Research works printed but not linked: 55
- 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
- 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
- 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.
- 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
- Berthold, M., Borgelt, C., and Höppner, F. (2010). Guide to Intelligent Data Analysis. London: Springer.
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Graham, J. B., and Dickson, K. A. (2004). Tuna comparative physiology. J. Exp. Biol. 207, 4015-4024. doi: 10.1242/jeb.01267 · DOI
- 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
- 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
- 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
- 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
- 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
- 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.
- 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
- 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
- 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
- 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
- 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
- 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
- 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.
- 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
- Longhurst, A. R., and Pauly, D. (1987). Ecology of Tropical Oceans. New York, NY: Academic Press.
- 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
- 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
- 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
- Marcelino, V. R., and Verbruggen, H. (2015). Ecological niche models of invasive seaweeds. J. Phycol. 51, 606-620. doi: 10.1111/jpy.12322 · DOI
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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.
- 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
- 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
- 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
- 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
- CO;2 · DOI
- 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.
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Large-scale distribution of tuna species in a warming ocean
Erauskin‐Extramiana, M., Arrizabalaga, H., Hobday, A. J., Cabré, A., Ibaibarriaga, L., Arregui, I., Murua, H., & Chust, G. (2019) · Global Change Biology · doi:10.1111/gcb.14630 · Cited by 176 · see citing works
Self-citation(2021) · Advances in Marine Biology · doi:10.1016/bs.amb.2020.09.002 · Cited by 53 · see citing works
Self-citationAfrican desert dust influences migrations and fisheries of the Atlantic skipjack-tuna
Rodríguez, S., Riera, R., Fonteneau, A., Alonso-Pérez, S., & López-Darias, J. (2023) · Atmospheric Environment · doi:10.1016/j.atmosenv.2023.120022 · Cited by 23 · see citing works
“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).”
- 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
- Publisher
- Frontiers Media SA
- 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
- gold
- doi.org
- 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
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