Cited by 494Marine and fisheries researchClimate variability and modelsOceanographic and Atmospheric Processes

The DOI matches its Crossref record.

El Niño Southern Oscillation and tuna in the western Pacific

Lehodey, P., Bertignac, M., Hampton, J., Lewis, A., Picaut, J.·1997·Nature

DOI 10.1038/39575

Open this paper in CoChat — free account

Integrity signals

Registry

Crossref · 10.1038/39575

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

No references could be resolved yet.

Research works printed but not linked: 30

Longhurst, A., Sathyendranath, S., Platt, T. & Caverhill, C. An estimate of global primary production in the ocean from satellite radiometer data. J. Plankton Res. 17, 1245–1271 (1995).
Kleiber, P., Argue, A. W. & Kearney, R. E. 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 (1987).
McPhaden, M. J. & Picaut, J. El Niño-Southern Oscillation displacements of the Western Equatorial Pacific warm pool. Science 50, 1385–1388 (1990).
Jin, F. F. Tropical ocean–atmosphere interaction, the Pacific cold tongue, and the El Niño–Southern Oscillation. Science 274, 76–78 (1996).
Picaut, J., Ioualalen, M., Menkes, C., Delcroix, T. & McPhaden, M. J. Mechanism of the zonal displacement of the Pacific warm pool: implications for ENSO. Science 274, 1486–1489 (1996).
Picaut, J. & Delcroix, T. Equatorial wave sequence associated with warm pool displacement during the 1986–1989 El Niño–La Niña. J. Geophys. Res. 100, 18393–18408 (1995).
Kuroda, Y. & McPhaden, M. J. Variability in the Western Equatorial Pacific Ocean during Japanese Pacific climate study cruises in 1989 and 1990. J. Geophys. Res. 98, 4747–4759 (1993).
Eldin, G., Rodier, M. & Radenac, M.-H. Physical and nutrient variability in the upper equatorial Pacific associated with westerly wind forcing and wave activity in October 1994. Deep Sea Res. (in the press).
Legeckis, R. Long waves in the eastern equatorial Pacific ocean: a view from a geostationary satellite. Science 197, 1179–1181 (1977).
Yamamoto, T. & Nishizawa, S. Small-scale zooplankton aggregations at the front of a Kuroshio warm-core ring. Deep Sea Res. 33, 1729–1740 (1986).
Yoder, J. A., Ackleson, S. G., Barber, R. T., Flament, P. & Balch, W. M. Aline in the sea. Nature 371, 689–692 (1994). · DOI
Power, J. H. Simulations of the effect of advective–diffusive processes on observations of plankton abundance and population rates. J. Plankton Res. 18, 1881–1896 (1996).
Flament, P., Kennan, S. C., Knox, R. A., Niiler, P. P. & Bernstein, R. L. The three-dimensional structure of an upper ocean vortex in the tropical Pacific ocean. Nature 383, 610–613 (1996). · DOI
Laurs, R. M., Fiedler, P. C. & Montgomery, D. R. Albacore tuna catch distributions relative to environmental features observed from satellites. Deep Sea Res. 31, 1085–1099 (1984).
Fiedler, P. C. & Bernard, H. J. Tuna aggregation and feeding near fronts observed in satellite imagery. Continent. Shelf Res. 7, 871–881 (1987).
Richards, L. J. & Schnute, J. T. An experimental and statistical approach to the question: is CPUE an index of abundance? Can. J. Fish. Aquat. Sci. 43, 1214–1227 (1986).
Chen, W. Y. Assessment of Southern Oscillation sea level pressure indices. Month. Weath. Rev. 110, 800–807 (1982).
Cane, M. A., Zebiak, S. E. & Dolan, S. C. Experimental forecasts of El Niño. Nature 321, 827–832 (1986). · DOI
Barnett, T. P. et al. On the prediction of the El Niño of 1986–87. Science 241, 192–196 (1988).
Chen, D., Zebiak, S., Busalacchi, A. J. & Cane, M. A. An improved procedure for El Niño forecasting: implications for predictability. Science 269, 1699–1702 (1995).
Chavez, F. P. & Barber, R. T. An estimate of new production in the equatorial Pacific. Deep Sea Res. 34, 1229–1243 (1987).
Sharp, G. D. & Dizon, A. E. (ed.) The Physiological Ecology of Tunas (Academic, San Diego, 1978).
Dragovitch, A. The food of skipjack and yellowfin tunas in the Atlantic ocean. Fish. Bull. US 70, 1087–1110 (1970).
Roger, C. & Grandperrin, R. Pelagic food webs in the tropical Pacific. Limnol. Oceanogr. 21, 731–735 (1976).
Roger, C. The plankton of the tropical western Indian ocean as a biomass indirectly supporting surface tunas (yellowfin, Thunnus albacares and skipjack, Katsuwonus pelamis ). Environ. Biol. Fish. 39, 161–172 (1994).
Vinogradov, M. E. in Analysis of Marine Ecosystems (ed. Longhurst, A. R.) (Academic, San Diego, 1981).
Hansen, D. V. & Swenson, M. S. Mixed layer circulation during EqPac and some thermochemical implications for the equatorial cold tongue. Deep Sea Res. 43, 707–724 (1996).
Piontkovski, S. A. & Williams, R. Multiscale variability of tropical ocean zooplankton biomass. ICES J. Mar. Sci. 52, 643–656 (1995).
Eckman, J. E. Modelling physical–biological coupling in the ocean: the U.S. GLOBEC Program. Deep Sea Res. 41, 1–5 (1994).
Hampton, J. Estimates of tag-reporting and tag-shedding rates in a large-scale tuna tagging experiments in the western tropical Pacific Ocean. Fish. Bull. US 95, 68–79 (1997).

Sorted by citations

Items 401–438 of 438

Spatial Variations in the Catch of Billfishes in the Pacific Ocean and Factors Affecting Annual Changes in the Catch
Yoo, J.-T., Hwang, S.-J., & An, D. (2009) · doi:10.5657/kfas.2009.42.6.695 · Cited by 1
Changes in Availability of Tuna Species Due to ENSO Events in the Pacific Ocean
An, D., Moon, D., Jeong-Rack, K., Cho, K.-D., & Park, Y.-C. (2003) · doi:10.5657/kfas.2003.36.4.430 · Cited by 1
The Dynamic of Convergence Zone Displacement in Western Pacific Ocean on 2015 Super El Niňo Event
Ashafahani, A. A., Wirasatriya, A., Pranowo, W. S., Sugianto, D., & Maslukah, L. (2021) · doi:10.1088/1755-1315/750/1/012015 · Cited by 1
Impact of marine heatwaves on the spatiotemporal distribution of skipjack tuna (Katsuwonus pelamis) in the western and central Pacific Ocean
Feng, Z., Li, N., Chen, X., & Yu, W. (2026) · Reviews in Fish Biology and Fisheries · doi:10.1007/s11160-026-10107-7
“For example, ENSO influences the spatial displacement of the WPWP edge (defined by the 29 °C isotherm), thereby affecting the longitudinal distribution of the fishing ground for skipjack (Lehodey et al. 1997).”
Influential
Beyond historical catch: developing a climate-adaptive fisheries allocation framework for transboundary fish stocks under international law
Akkuş, B. (2026) · Frontiers in Marine Science · doi:10.3389/fmars.2026.1942966
Revealing environmental associations underlying seasonal distribution of Pacific yellowfin tuna species with geospatial neural networks
Zhu, Y.-J., Yang, X.-M., Dai, X.-J., Hua, Z.-J., Zhang, F., & Zhu, J.-F. (2026) · Frontiers in Marine Science · doi:10.3389/fmars.2026.1909555
Effects of seamount characteristics on the catch diversity in the Western and Central Pacific Ocean purse seine fisheries
Fei, J.-J., Zhang, H.-L., Chen, X., Zhang, G.-N., Wu, Y.-T., Zhu, J.-F., & Zhang, J. (2026) · Reviews in Fish Biology and Fisheries · doi:10.1007/s11160-026-10092-x
“Lehodey et al. (1997) reported that an SST range of approximately 28–29 °C represents an important habitat temperature range for tuna and related species, which is consistent with the temperature range associated with higher diversity indices in this study.”
A Forecasting Method for Central and Western Pacific Yellowfin Tuna Fishing Ground Integrating Vertical Environmental Structures and Hybrid Gaussian Spatiotemporal Transformer
Ji, W.-S., Zou, R., & Guan, L. (2026) · Smart Agricultural Technology · doi:10.1016/j.atech.2026.102387
Leakage-Free Machine Learning for High-Yield Yellowfin Tuna Fishing Ground Identification Under Long-Tailed CPUE Distribution
Che, C.-J., & Zhou, W.-F. (2026) · 2026 5th International Conference on Artificial Intelligence, Internet of Things and Cloud Computing Technology (AIoTC) · doi:10.1109/aiotc71250.2026.11689570
“Tuna distribution is affected by oceanographic conditions, spatial structure, and seasonal migration [3]–[7], [19].”
Dynamics of Significant Intraseasonal Variability of Surface Chlorophyll‐a Concentration in the Far Western Tropical Pacific
Zhou, H. J., Liu, X. H., Wang, S., He, L., & Feng, X. (2026) · Geophysical Research Letters · doi:10.1029/2025gl119672
“The region's proximity to a critical habitat for major tuna fisheries (Lehodey et al., 1997) and the spawning ground of Japanese eels (Hsiung et al., 2018; Kimura & Tsukamoto, 2006)—further accentuates the ecological and socioeconomic significance of intraseasonal chlorophyll dynamics.”
A Risk-Driven Maritime Patrol Route Optimization Framework for IUU Fishing Surveillance Using Multi-Source AIS and SAR Data Fusion
Hu, S.-T., Zhang, Q., Wang, Y.-M., & Wang, X.-K. (2026) · Journal of Marine Science and Engineering · doi:10.3390/jmse14100878
Impact of ENSO-Driven Warm Pool Shifts on Skipjack Tuna ( Katsuwonus pelamis ) CPUE in the Pacific Ocean
Nabayo, N. H., & Bernawis, L. I. (2026) · IOP Conference Series Earth and Environmental Science · doi:10.1088/1755-1315/1624/1/012001
“The Paci8ic Ocean is widely known as one of the world’s largest tuna 8ishing grounds, contributing around 70% of the global tuna catch [10].”
Influential
The Responses of Skipjack Tuna in the Northwest Pacific to Climate Variability: Migration Pattern's Seasonality and Heterogeneity
Hou, X., Zhang, S., Ma, S., Li, J., & Tian, Y. (2026) · Journal of Geophysical Research Oceans · doi:10.1029/2025jc023846
Lag effect of the El Niño–Southern Oscillation on the catch per unit effort of Yellowfin Tuna and Bigeye Tuna in the western and central Pacific longline fisheries
Zhang, J., Chen, X., Song, H., Zhang, H., Zhu, G., Teng, Y., & Shi, J. (2026) · Marine and Coastal Fisheries · doi:10.1093/mcfafs/vtaf048
Larval Genomics as a Viable, Fisheries‐Independent Tool for Investigating Population Structure in Tropical Pacific Tunas
Jaskiel, J. E., Aichelman, H. E., Anderson, G., Claassens, L., Fifer, J. E., Hernández, C. M., Huzar, A. K., Llopiz, J. K., Witting, J. W., Mullen, S. P., et al. (2026) · Molecular Ecology · doi:10.1111/mec.70335
“Skipjack, yellowfin, and bigeye tuna have all been observed to use the Phoenix Islands as a spawning area (Hernández et al. 2019).”
Influential
Structural dynamics of Sri Lankan artisanal tuna fisheries: Evidence from a 73 year time series and econometric analysis
Madhubhashini, E. T. S. (2026) · Indian Journal of Fisheries · doi:10.21077/ijf.2026.73.1.174489-17
“The gillnet fishery targeting skipjack ( Katsuwonus pelamis ) and yellowfin ( Thunnus albacares ) evolved substantially over seven decades through technological advancement, market dynamics and environmental variability (Lehodey et al. , 1997; Fonteneau et al. , 2013).”
Climate anomalies reshape abundance distribution and biological parametric of the endemic longtail shad (Tenualosa macrura) in the Siak River Estuary, Indonesia.
Amri, K., Tirtadanu, T., Supratmi, S., Ma’mun, A., Priatna, A., Setyadji, B., Ernaningsih, D., Telussa, R. F., Rahmani, U., Nugroho, S., et al. (2026) · Environmental science and pollution research international · doi:10.1007/s11356-026-37676-1
The lag effect of climate oscillations on CPUE of bigeye tuna (Thunnus obesus) in the Western and Central Pacific longline fisheries
Song, H., Zhang, J., Chen, X., Zhang, H., & Shi, J. (2026) · Acta Oceanologica Sinica · doi:10.1007/s13131-025-2631-9
“Moreover, it serves as a critical pathway to decipher global marine ecosystem responses to climatic and environmental changes (Brill, 1994; Lehodey, 2000; Lehodey et al., 1997; Wu et al., 2020).”
Navigating uncertainty: an assessment of climate change risks to the marine and coastal environment of Sri Lanka
Lincoln, S., Chowdhury, P., Harrod, O. L., Jayakody, S., Vanstaen, K., Vithanage, M. S., & Pinnegar, J. K. (2025) · Climate Risk Management · doi:10.1016/j.crm.2025.100782
Satellite-derived Sea Level Height Trend and Variation associated with Eastern Little Tuna (Euthynnus affinis) catch rates in the Makassar Strait
Syamsuddin, M., Puspita, A., Syamsudin, F., Sunarto, & Sofyana, N. T. (2025) · Journal of Biota · doi:10.19109/biota.v12i1.24057
“Numerous studies have provided strong evidence that ENSO events significantly influence tuna distribution and abundance across different oceanic regions [41], [42].”
Using a Multi-Output Neural Network Model to Standardize Heterogeneous Fisheries Data
Xu, Z.-Q., Liu, Y., & Wang, J.-T. (2025) · Journal of Ocean University of China · doi:10.1007/s11802-025-6136-0
“…level anomaly, sea surface height, eddy kinetic energy and mixed-layer depth, and ENSO (El Niño and La Niña) events induced rapidly variabilities in those variables can also affect the distribution and abundance of skipjack tuna (Lehodey et al ., 1997; Mugo et al ., 2010; Salazar et al ., 2021).”
Modeling Skipjack Tuna Purse Seine Fishery Distribution in the Western and Central Pacific Ocean Under ENSO Scenarios: An Integrated MGWR-BME Framework
Wang, Y.-H., Yang, X.-M., Li, M., & Zhu, J.-F. (2025) · Fishes · doi:10.3390/fishes10090450
Drifting fish aggregation devices as a tool to study oceanic marine protected areas
Blanluet, A., Game, E., Pollock, K., Wolff, N., Everett, J. D., Neubert, S., Dunn, D., & Richardson, A. (2025) · Fisheries Research · doi:10.1016/j.fishres.2025.107474
Spatial Prediction and Environmental Response of Skipjack Tuna Resources from the Perspective of Geographic Similarity: A Case Study of Purse Seine Fisheries in the Western and Central Pacific
Feng, S., Yang, X.-M., Li, M., Hua, Z.-J., Tian, S.-Q., & Zhu, J.-F. (2025) · Journal of Marine Science and Engineering · doi:10.3390/jmse13081444
The Coral Reefs and Fishes of St. Brandon, Indian Ocean Archipelago: Implications for Sustainable Fisheries
RICOT, M., JEETUN, S., Jogee, S. Y., Kaullysing, D., Taleb-Hossenkhan, N., Maina, J. M., Casareto, B. E., Suzuki, Y., Wijayanti, D. P., & Bhagooli, R. (2024) · Diversity · doi:10.3390/d16120710 · Cited by 1
Temporal analysis of the distribution of thynnus thunnus in relation to environmental factors along the Algerian coast
Benyahia, F. (2021) · Egyptian Journal of Aquatic Biology and Fisheries · doi:10.21608/ejabf.2021.204224
Patterns of depredation in the Hawai‘i deep‐set longline fishery informed by fishery and false killer whale behavior
Fader, J. E., Baird, R., Bradford, A., Dunn, D. C., Forney, K., & Read, A. J. (2021) · Ecosphere · doi:10.1002/ecs2.3682
Distribution of fishing boats and its oceanography characteristic in the eastern Indian Ocean off Sumatera
Syah, A. F., Daud, M., & Partadisastra, M. A. (2021) · IOP Conference Series Earth and Environmental Science · doi:10.1088/1755-1315/674/1/012013
Climate oscillation and the invasion of alien species influence the oceanic distribution of seabirds
Pérez-Correa, J., Carr, P., Meeuwig, J., Koldewey, H., & Letessier, T. (2020) · doi:10.22541/au.158049381.11032677
Satellite telemetry of Yellowfin tuna feeding migration: a case study in southwestern Bay of Bengal
Bright, R. P., Swetha, N., Baliarsingh, S. K., Nimit, K., NagarajaKumar, M., Srinivasakumar, T., Dwivedi, R., & Shenoi, S. (2017) · Marine Geodesy · doi:10.1080/01490419.2017.1327907
Retracted
Changes in fishing characteristics and distributions of Korean tuna purse seine fishery by oceanographic conditions in the Pacific Ocean
Lee, M. K., Lee, S. I., Lee, C.-W., Kim, Z., & Ku, J. (2016) · doi:10.3796/ksft.2016.52.2.149
Application of Ocean Remote Sensing On Fishing Ground Analysis: A Review: Application of Ocean Remote Sensing On Fishing Ground Analysis: A Review
Hu, K.-W., Xu, L., Chen, X.-J., Zhu, G.-P., & Wang, X.-F. (2013) · doi:10.3724/sp.j.1118.2012.01079
THE USE OF MODIS DATA TO DEFINE NATURAL BOUNDARIES AND REGIONS IN THE MARINE WATER COLOUMN.
Leach, J., & Kitchingman, A. (2012) · doi:10.5194/isprsarchives-xxxix-b8-545-2012
“Temperate southern bluefin tuna have been found in colder themoclines below the hotter equatorial waters tropics during spawning aggregations (Davis and Farley 1999), while tropical and sub-tropical skipjack tuna are known to follow warm water bodies across the Pacific Ocean (Lehodey et al. 1997).”
Background
Republic of Korea
Kim, S., Zhang, C.-I., Kim, J. Y., Kang, S., & Lee, J. B. (2009) · Permanent Missions to the United Nations No.299 · doi:10.5089/9781451822250.002
The theoretical construction of measuring fishing ground gravity reliability and correcting fishing ground gravity: a case study onPaerargyrops editaTanaka in Minnan-Taiwan Bank Fishing Ground
Cai, J.-D., Chen, F., Wu, J.-S., Liu, Y., Shen, C.-J., & Ma, C. (2015) · doi:10.5846/stxb201403280581
Global fisheries economics in the face of change in climate
Lam, V. W. Y. (2013) · doi:10.14288/1.0165678
“For example, the spatial distribution of purse-seine fleets targeting skipjack tuna in the central western Pacific shifts according to the influence of El Niño Southern Oscillation (ENSO) events (Lehodey et al. 1997).”
Background
Effects of climate on timing of breeding, reproductive output and population growth of song sparrows (Melospiza melodia) in the Southern Gulf Islands, British Columbia
Wilson, S. (2009) · cIRcle (University of British Columbia) · doi:10.14288/1.0075079
Untitled work
McHugh, M. (2004) · doi:10.1175/1520-0442(2004)017

Authors: Lehodey, P., Bertignac, M., Hampton, J., Lewis, A., & Picaut, J.
Affiliations: Pacific Community (NC)
Corresponding author: Lehodey, P.
ORCID: Lehodey, P.
Bertignac, M.
Hampton, J.
Lewis, A.
Venue: Nature
Publisher: Springer Science and Business Media LLC
Published: 1997-10
Volume: 389
Issue: 6652
Pages: 715-718
ISSN: 0028-0836 (ISSN-L)
1476-4687
DOI: 10.1038/39575
OpenAlex: W1662882894
Cited by: 494
References: 0
Citations by year: 2026: 22 · 2025: 19 · 2024: 19 · 2023: 25 · 2022: 16 · 2021: 24 · 2020: 28 · 2019: 26 · 2018: 17 · 2017: 17 · 2016: 16 · 2015: 20 · 2014: 16 · 2013: 24 · 2012: 22
FWCI: 8.68
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
Locations: Nature (publishedVersion)
RePEc: Research Papers in Economics (submittedVersion)
Funders: European Commission
Topics: Life Sciences › Agricultural and Biological Sciences › Aquatic Science › Marine and fisheries research
Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
Keywords: ENSO, skipjack tuna, western Pacific warm pool, tuna distribution, equatorial Pacific, sea surface temperature

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

El Niño Southern Oscillation and tuna in the western Pacific

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Metadata

Record

About these checks