Distribution of albacore (Thunnus alalunga) in the Indian Ocean and its relation to environmental factors
Open accessAbstract
The distribution pattern of albacore, Thunnus alalunga, in the Indian Ocean was analyzed based on catch data from the Taiwanese tuna longline fishery during the period 1979–85. The Taiwanese tuna fishery began operating in the Indian Ocean in 1967. We used a geographic information system to compile a fishery and environmental database and statistically explored the catch per unit effort (CPUE) distribution of albacore. Our results indicated that immature albacore were mainly distributed in areas south of 30°S although some displayed a north–south seasonal migration. Mature albacore, which were mainly concentrated between 10°S and 25°S, also showed a north–south migration. Within 10°S and 30°S, the separation of mature, spawning, and immature albacore life history stages roughly coincided with the boundaries of the three oceanic current systems in the Indian Ocean. The optimal environmental variables for CPUE prediction by stepwise discriminant analysis differed among life history stages. For immature albacore, the sea surface variables sea surface temperature (SST), chlorophyll concentration and surface salinity were significant. For mature albacore, SST was significant, while for spawning albacore, the sub‐surface variables temperature at 100 m and oxygen at 200 m were significant. Spawning albacore evidently prefer deep oceanographic conditions. Our results on the oceanographic conditions preferred by different developmental stages of albacore in the Indian Ocean were compatible with previous studies found in the Pacific Ocean.
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Habitat studies using fishery or survey data are often spatially limited and focused on single species.
“Habitat studies using fishery or survey data are often spatially limited and focused on single species (e.g.Chen et al., 2005;Sagarminaga and Arrizabalaga, 2010).”
From Global habitat preferences of commercially valuable tuna (2015) · cites this paper as Chen et al., 2005
The Introduction describes limitations in the spatial coverage of past fishery-oceanography studies, and this paper’s own habitat analysis focuses on one species, albacore. But it uses fishery and environmental data across the whole Indian Ocean, so Chen et al. is not itself an example of a spatially limited study. (LLM, conf=0.85)
Experimental — accuracy not yet measuredThe distribution of albacore is affected by SST.
“Previous studies have shown that the distribution of albacore is affected by SST (Chen et al. 2005).”
From El Niño Southern Oscillation (ENSO) impact on tuna fisheries in Indian Ocean (2014) · cites this paper as Chen et al. 2005
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Zainuddin, M., Kiyofuji, H., Saitoh, K., & Saitoh, S. (2006) · Deep Sea Research Part II Topical Studies in Oceanography · doi:10.1016/j.dsr2.2006.01.007 · Cited by 228 · see citing works
“Chen et al. (2005) reported that the distribution of high albacore CPUEs in the Indian Ocean corresponds with warm SST and relatively high chlorophyll-a concentration, particularly for immature fish.”
BackgroundGlobal 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 · see citing works
“This is in agreement with Dell et al. (2011) who, using a detailed fishery database, found MLD to be more important than SSH for yellowfin in the Tasman Sea.”
BackgroundMethodResultInfluentialFisheries applications of remote sensing: An overview
Klemas, V. (2013) · Fisheries Research · doi:10.1016/j.fishres.2012.02.027 · Cited by 119 · see citing works
Weimerskirch, H., Åkesson, S., & Pinaud, D. (2006) · doi:10.1111/j.2006.0908-8857.03675.x · Cited by 109
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“However, albacore are thought to spawn at depths of ,100–200 m where temperatures are cooler than at the surface [18].”
BackgroundReview of albacore tuna, Thunnus alalunga, biology, fisheries and management
Nikolic, N., Morandeau, G., Hoarau, L., West, W. M., Arrizabalaga, H., Hoyle, S., Nicol, S., Bourjea, J., Puech, A., Farley, J. H., et al. (2016) · Reviews in Fish Biology and Fisheries · doi:10.1007/s11160-016-9453-y · Cited by 70 · see citing works
“…data, the global distribution and migration of albacore is strongly correlated in all oceans with environmental variables (Kimura et al. 1997; Chen et al. 2005; Zainuddin et al. 2008; Sagarminaga and Arrizabalaga 2010, 2014) such as SST (e.g., Sund et al. 1981; Ramos et al. 1996; Ganzedo et…”
BackgroundInfluentialChang, Y.-J., Sun, C.-L., Chen, Y., Yeh, S.-Z., & Dinardo, G. (2012) · doi:10.1080/01431161.2012.685980 · Cited by 66
“In fact, the commercially important pelagic fish have been reported to be sensitive to SST constantly and tend to have a seasonal optimum SST range (Block 1997, Bigelow et al. 1999, Chen et al. 2005, Su et al. 2008).”
BackgroundEl Niño Southern Oscillation (ENSO) impact on tuna fisheries in Indian Ocean
Kumar, P. S., Pillai, G. N., & Manjusha, U. (2014) · SpringerPlus · doi:10.1186/2193-1801-3-591 · Cited by 59 · see citing works
“The distribution of tuna in the Indian Ocean and its relation to oceanic structure has been widely discussed (Chen et al. 2005; Song et al. 2009).”
BackgroundTiphaine Chouvelon, A., Brach-Papa, C., Auger, D., Bodin, N., Bruzac, S., Crochet, S., Degroote, M., Hollanda, S. J., Hubert, C., Knœry, J., et al. (2017) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2017.04.048 · Cited by 64 · see citing works
“Due to 148 the absence of such structures in the IO, albacore has been managed as one unique stock in this region 149 (Chen et al., 2005), distributed between 5°N and 45°S. Additionally, the tip of South Africa has long 150 been considered an impenetrable barrier for marine animals (Briggs, 1974).”
BackgroundNurdin, S., Mustapha, M. A., Lihan, T., & Zainuddin, M. (2017) · doi:10.1016/j.fishres.2017.07.029 · Cited by 53
Georgakarakos, S., & Kitsiou, D. (2008) · Hydrobiologia · doi:10.1007/s10750-008-9484-z · Cited by 49
“Oceanographic features such as temperature fronts, eddies, rings and upwelling areas have been related to fish biomass concentrations—at least at certain spatial scales and magnitudes (Laurs et al., 1984; Fiedler & Bernard, 1987; Chen et al., 2005)—and satellite ocean colour and sea surface temperature images have bee…”
BackgroundDavies, C., Gosling, E., Wąs, A., Brophy, D., & Tysklind, N. (2011) · doi:10.1007/s00227-011-1772-x · Cited by 46
“…proposed that small numbers of albacore may undertake inter-oceanic migrations between the South Atlantic Ocean and the Indian Ocean; however, such claims remain to be substantiated through tagging studies, and hence, the Indian Ocean population is managed as a separate stock (Chen et al. 2005).”
BackgroundSong, L.-M., Zhou, J., Zhou, Y.-Q., Nishida, T., Jiang, W.-X., & Wang, J.-Q. (2009) · Environmental Biology of Fishes · doi:10.1007/s10641-009-9474-7 · Cited by 46 · see citing works
“Most studies of the impacts of environmental variables on tuna distribution in the Indian Ocean have been based on mesoscale data (Mohri and Nishida 1999a, b; Romena 2001; Marsac 2002) and/ or long-term-averages of observations from satellite remote sensors (Chen et al. 2005).”
BackgroundInfluentialRighton, D., & Mills, C. (2006) · International Journal of Geographical Information Science · doi:10.1080/13658810500399159 · Cited by 39
“GIS has often been used for the analysis of marine fish habitats (e.g. Eastwood et al. 2003, Kendall et al. 2004, Chen et al. 2005).”
MethodLan, K.-W., Kawamura, H., Lee, M.-A., Lu, H.-J., Shimada, T., Hosoda, K., & Sakaida, F. (2012) · Fisheries Research · doi:10.1016/j.fishres.2011.08.017 · Cited by 39 · see citing works
“Discussion 199 Previous studies of tuna fishing grounds have used SST information with low 200 temporal (weekly to monthly) and low spatial (5° or 1° grids) resolution (e.g., Collette 201 & Nauen, 1983; Lee et al., 1999; Chen et al., 2005; Zagaglia et al., 2004).”
BackgroundInfluentialPhillips, A. J., Ciannelli, L., Brodeur, R. D., Pearcy, W. G., & Childers, J. (2014) · ICES Journal of Marine Science · doi:10.1093/icesjms/fst238 · Cited by 36 · see citing works
“Surface properties such as SST were found to be important predictors of the spatial distribution of albacore CPUE in the Indian Ocean (Chen et al., 2005).”
BackgroundModeling the spatial autocorrelation of pelagic fish abundance
Kleisner, K., Walter, J. F., Diamond, S., & Die, D. (2010) · Marine Ecology Progress Series · doi:10.3354/meps08667 · Cited by 36 · see citing works
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Lee, M.-A., Weng, J.-S., Lan, K.-W., Vayghan, A. H., Wang, Y.-C., & Chan, J.-W. (2019) · International Journal of Remote Sensing · doi:10.1080/01431161.2019.1666317 · Cited by 31
“Chen, Lee, and Tzeng (2005) reported that the distribution of high albacore catch per unit efforts (CPUEs) in the Indian Ocean corresponds with a warm SST and relatively high chlorophyll-a concentration, particularly for immature fish.”
BackgroundSAGARMINAGA, Y., & ARRIZABALAGA, H. (2010) · Fisheries Oceanography · doi:10.1111/j.1365-2419.2010.00532.x · Cited by 31 · see citing works
Interactions Between a Large Marine Protected Area, Pelagic Tuna and Associated Fisheries
Curnick, D. J., Collen, B., Koldewey, H. J., Jones, K. E., Kemp, K. M., & Ferretti, F. (2020) · Frontiers in Marine Science · doi:10.3389/fmars.2020.00318 · Cited by 30 · see citing works
Age and growth of albacore Thunnus alalunga in the North Pacific Ocean.
Chen, K.-S., Shimose, T., Tanabe, T., Chen, C.-Y., & Hsu, C.-C. (2012) · Journal of Fish Biology · doi:10.1111/j.1095-8649.2012.03292.x · Cited by 30 · see citing works
Reproductive Biology of Albacore Tuna (Thunnus alalunga) in the Western Indian Ocean
Dhurmeea, Z., Zudaire, I., Chassot, E., Cedras, M., Nikolic, N., Bourjea, J., West, W. M., Appadoo, C., & Bodin, N. (2016) · PLoS ONE · doi:10.1371/journal.pone.0168605 · Cited by 28 · see citing works
“Our results agree with previous studies which suggested that spawning of albacore in the Indian Ocean occurs between 10 ̊S and 30 ̊S [16,17,59] and in the waters off eastern Madagascar [62,63].”
BackgroundResultInfluentialOrue, B., Pennino, M., López, J., Moreno, G., Santiago, J., Ramos, L., & Murua, H. (2020) · Frontiers in Marine Science · doi:10.3389/fmars.2020.00441 · Cited by 27 · see citing works
“Previous knowledge of the distribution dynamics and environmental preferences of tropical tuna in the Indian Ocean have primarily been obtained from fishery-dependent data of purse seiners and longlines fisheries (Chen et al., 2005; Lee et al., 2005; Fonteneau et al., 2008; Song et al., 2008, 2009; Tew-Kai and Marsac,…”
BackgroundMacdonald, J. I., Farley, J. H., Clear, N., Williams, A. J., Carter, T. I., Davies, C. R., & Nicol, S. (2013) · Fisheries Research · doi:10.1016/j.fishres.2013.08.004 · Cited by 24 · see citing works
“Horizontal and vertical movement patterns of albacore are known to be highly diverse, region-specific and follow seasonal trends that appear closely associated with oceanographic conditions and prey availability (Otsu and Uchida, 1963; Laurs and Lynn, 1977; Laurs et al., 1977; Chen et al., 2005; Domokos et al., 2007;…”
BackgroundMondal, S., Vayghan, A. H., Lee, M.-A., Wang, Y.-C., & Semedi, B. (2021) · Remote Sensing · doi:10.3390/rs13142669 · Cited by 25 · see citing works
“Thus, habitat models can help to implement or modify EBFM through the monitoring of fish habitat, prey abundance, and climate effects [38] as well.”
BackgroundMunschy, C., Bodin, N., Potier, M., Héas-Moisan, K., Pollono, C., Degroote, M., West, W. M., Hollanda, S. J., Puech, A., Bourjea, J., et al. (2016) · Environmental Research · doi:10.1016/j.envres.2016.03.042 · Cited by 24 · see citing works
Vayghan, A. H., Lee, M., Weng, J., Mondal, S., Ching-Te, L., & Wang, Y. (2020) · Remote Sensing · doi:10.3390/rs12162515 · Cited by 29 · see citing works
“SST is widely accepted as a key predictor of CPUE for albacore tuna [39,59,60] due to its relation to albacore distribution limits.”
BackgroundMethodDelgado, A. L., Loisel, H., Jamet, C., Vantrepotte, V., Perillo, G., & Piccolo, M. (2015) · Remote Sensing · doi:10.3390/rs70911821 · Cited by 21 · see citing works
“, [29–31]).”
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Remote sensing of environmental indicators of potential fish aggregation: An overview
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“The SST is a key predictor of the relative frequency of any species in surface waters (Chen et al., 2005; Phillips et al., 2014; Arrizabalaga et al., 2015).”
BackgroundEffect of oceanographic parameters on daily albacore catches in the Northeast Atlantic
Goñi, N., Didouan, C., Arrizabalaga, H., Chifflet, M., Arregui, I., Goikoetxea, N., & Santiago, J. (2015) · Deep Sea Research Part II Topical Studies in Oceanography · doi:10.1016/j.dsr2.2015.01.012 · Cited by 14 · see citing works
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“upwelling areas have been related to fish biomass concentration, at least at certain spatial scales (Laurs et al., 1984; Fiedler & Bernard, 1987; Chen et al., 2005).”
BackgroundHabitat modeling of mature albacore (Thunnus alalunga) tuna in the Indian Ocean
Mondal, S., & Lee, M. (2023) · Frontiers in Marine Science · doi:10.3389/fmars.2023.1258535 · Cited by 14 · see citing works
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Impact of Climatic Factors on Albacore Tuna Thunnus alalunga in the South Pacific Ocean
Singh, A. A., Sakuramoto, K., & Suzuki, N. (2015) · American Journal of Climate Change · doi:10.4236/ajcc.2015.44024 · Cited by 10 · see citing works
“Chen [39] showed that the SST, chlorophyll concentration and surface salinity requirement differed between the different developmental stages of the albacore tuna in the Indian Ocean from 1979 to 1985.”
BackgroundLopetegui-Eguren, L., Poos, J., Arrizabalaga, H., Guirhem, G. L., Murua, H., Lezama-Ochoa, N., Griffiths, S., Gondra, J. R., Sabarros, P., Báez, J., et al. (2022) · Frontiers in Marine Science · doi:10.3389/fmars.2022.863602 · Cited by 10 · see citing works
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“Once they become sexually mature, fish move closer to the equator, now wintering in the same latitudes that become juvenile feeding grounds in the sum‐ mer, and migrating in the spring into tropical waters 15°S in order to spawn (Chen et al., 2005).”
BackgroundZhang, M., Song, L.-M., Pan, C., & Wang, L. (2024) · Fisheries Oceanography · doi:10.1111/fog.12704 · Cited by 8 · see citing works
Putri, R. S., Hasrianti, H., Damis, D., Bibin, M., Putri, A. R. S., Kasim, M., & Nurdin, S. (2022) · Jurnal Iktiologi Indonesia · doi:10.32491/jii.v22i1.582 · Cited by 8
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“…been done for determining whether SST is important for mesopelagic species such as yellowfin tuna, bigeye, Atlantic bluefin, and albacore tuna for influencing preying, diurnal migration, spawning, and reproduction (Alemany et al. 2010; Chen, Lee, and Tzeng 2005; Yang et al. 2020; Yen et al. 2012).”
Koropitan, A., Kholilullah, I., & Yusfiandayani, R. (2021) · Hayati Journal of Biosciences · doi:10.4308/hjb.28.4.271-285 · Cited by 7
“…Venema (1999) is as follows: Where: C (catch) = is the total catch (kg) F (Effort) = is the total fishing effort taken from the length of the fishing trip (days) The CPUE is determined in kg per trip, while the CPUE data are divided into four classes based on the data quartile (Chen et al. 2005).”
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ROLE OF SUB SURFACE TEMPERATURE, SALINITY AND CHLOROPHYLL TO ALBACORE TUNA ABUNDANCE IN INDIAN OCEAN
Novianto, D., & Susilo, E. (2016) · Indonesian Fisheries Research Journal · doi:10.15578/ifrj.22.1.2016.17-26 · Cited by 8 · see citing works
“Previous studies showed that environmental factor is the most important parameter ALB abundance in the Indian Ocean (Lan et al., 2012; Chen et al., 2005, Sukresno et al., 2014, Arrizabalaga et al., 2015), but the related literature of ALB in the Indian Ocean is scarce in comparison with other oceanic basins like the A…”
BackgroundResultInfluentialMondal, S., Lan, Y.-C., Lee, M.-A., Wang, Y.-C., Semedi, B., & Su, W.-Y. (2022) · Journal of Marine Science and Technology · doi:10.51400/2709-6998.2559 · Cited by 6 · see citing works
“[17] determined that ALB tuna catches in the entire Indian ocean cover a wider range of SST than do those in other oceans.”
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Analysis of small pelagic fishing grounds using a generalized additive model in the Makassar Strait
Putri, R. S., Bibin, M., Surianti, Hasrianti, Damis, Putri, A. R. S., Wulandari, U., & Wardani, M. P. (2021) · doi:10.1088/1755-1315/763/1/012042 · Cited by 6
“Information about these parameters helps in predicting the location distribution and behaviour of fish [23].”
BackgroundMondal, S., Ray, A., Lee, M., & Boas, M. (2023) · Journal of Marine Science and Engineering · doi:10.3390/jmse11081565 · Cited by 7 · see citing works
Rahul, P., Sahu, S., & Salvekar, P. (2011) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2010.2096554 · Cited by 5
“Satellite data help increase the efficiency of fishing efforts by identifying oceanographic features that are sites of fish aggregation and migration, such as temperature fronts, meanders, eddies, rings, and upwelling areas [3].”
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“both mature and immature albacore was suggested to coincide with the 15°C isoline of SST [2].”
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“These techniques are cost-effective and provide a wide range of observations for monitoring changes in aquatic systems (Chen et al., 2005, 2006; Andrefouet et al., 2008).”
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“Ikan tuna merupakan spesies pelagis yang beruaya jauh, terdistribusi secara luas dan bermigrasi mengikuti pola arus perairan (Bremer et al., 1998: Chen et al., 2005).”
BackgroundAdvances in fisheries applications of remote sensing
Klemas, V. (2014) · IEEE/OES Baltic International Symposium · doi:10.1109/baltic.2014.6887836 · Cited by 2
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“Sea surface temperature and surface salinity are known to be of particular importance for immature tunas, while temperature and oxygen content are highly relevant for adults, namely at the time of spawning (Chen et al. 2005).”
Labonne, M., Darnaude, A. M., Fily, T., Petit, C., Nikolic, N., Parker, D., Norman, S., Clear, N., Farley, J., Eveson, J., et al. (2024) · Fishes · doi:10.3390/fishes9010038 · Cited by 1 · see citing works
“The Brazilian and Madagascar spawning sites are equidistant from the South African coast, with similar geostrophic surface currents connecting them to this area.”
BackgroundInfluentialNovianto, D., Osawa, T., & Nuarsa, I. W. (2018) · International Journal of Environment and Geosciences · doi:10.24843/ijeg.2018.v02.i02.p03 · Cited by 1 · see citing works
“In the Indian Ocean, ALB is distributed mainly in areas south of 10°S and it migrates seasonally between north and south areas in the Southern Hemisphere (Chen et al., 2005).”
BackgroundInfluentialPhylogenetic of tuna fish (Thunnus spp.) in North Mollucas Sea, Indonesia
Akbar, N., Aris, M., Irfan, M., Baksir, A., Surahman, S., Madduppa, H., & Kotta, R. (2018) · doi:10.32491/jii.v18i1.370 · Cited by 1
LENGTH-WEIGHT RELATIONSHIP, SIZE DISTRIBUTION AND ANNUAL CPUE’s OF ALBACORE IN EASTERN INDIAN OCEAN
Setyadji, B., Nugraha, B., & Nugroho, D. (2014) · Indonesian Fisheries Research Journal · doi:10.15578/ifrj.20.1.2014.17-22 · Cited by 1
“, 2005) which likely influenced by environmental factors such as temperature, salinity and dissolved oxygen (Chen et al., 2005).”
BackgroundResultSukresno, B., Hartoko, A., & Sulistyo, B. (2015) · Procedia Environmental Sciences · doi:10.1016/j.proenv.2015.01.052 · Cited by 1 · see citing works
“This result was almost similar with [24], who was mentioned that spatial distribution of mature T.”
Robinson, I. (2010) · doi:10.1007/978-3-540-68322-3_7 · Cited by 1
Karimah, V. N., Prihantoko, K., Wibowo, B., Putra, E. S. M., Fitriani, A., & Nurlaela, E. (2026) · Acta Aquatica · doi:10.29103/aa.v13i2.26535
“Keberadaan ikan pelagis di suatu wilayah perairan dipengaruhi oleh kondisi lingkungan perairan seperti suhu permukaan laut, klorofil-a, dan salinitas (Chen et al., 2005; Song et al, 2009; Zorica et al., 2013; Lan et al., 2017; Yuniarta et al., 2017; Ma’mun et al., 2019).”
Chen, L.-C., Weng, J.-S., Lan, K.-W., Tseng, C.-T., Liao, C.-H., Lee, W.-Y., & Lim, I. C. L. (2025) · Regional Studies in Marine Science · doi:10.1016/j.rsma.2025.104255
Guan, W.-J., Wu, J., & Tian, S.-Q. (2019) · Acta Oceanologica Sinica · doi:10.1007/s13131-019-1485-4
Rochman, F., Jatmiko, I., & Setyadji, B. (2017) · doi:10.14710/ik.ijms.22.3.111-120
“Barata et al. (2011a) reported that ALB dominated 64% with size >100 cmFL at depth from 85 to 124.74 m. Chen et al. (2005), showed that the distribution of immature ALB were caught at surface layer, while mature ALB were caught at mid layer.”
BackgroundInfluentialHartaty, H., Setyadji, B., Wujdi, A., & Sulistyaningsih, R. K. (2021) · E3S Web of Conferences · doi:10.1051/e3sconf/202132201014
Lima, C. (2018) · doi:10.14288/1.0365575
“For example, segregation can occur by sex (e.g., Okamura et al., 2014; Mucientes et al., 2009), size or age (e.g., Ressler et al., 2007; Chen et al., 2005).”
BackgroundCharacterization and standardization of the Atlantic albacore French pelagic trawl fishery
Nikolic, N., Lauretta, M. V., Patucca, A., & Morandeau, G. (2018) · Aquatic Living Resources · doi:10.1051/alr/2018012
“SST has been reported to be an important predictor of CPUE for immature albacore in surface waters (Chen et al., 2005; Philips et al., 2014; Sagarminaga and Arrizabalaga, 2010).”
Background
- Authors
- CHEN, I., LEE, P., & TZENG, W.
- Affiliations
- National Taiwan University (TW)
- Corresponding author
- LEE, PEI‐FEN
- ORCID
- CHEN, I‐CHING
- Venue
- Fisheries Oceanography
- Publisher
- Wiley
- Published
- 2004-12-21
- Volume
- 14
- Issue
- 1
- Pages
- 71-80
- ISSN
- 1054-6006 (ISSN-L)
- 1365-2419
- OpenAlex
- W2105603113
- Cited by
- 88
- References
- 16
- Citations by year
- 2025: 5 · 2024: 6 · 2023: 5 · 2022: 3 · 2021: 4 · 2020: 6 · 2019: 4 · 2018: 4 · 2017: 4 · 2016: 5 · 2015: 6 · 2014: 9 · 2013: 3 · 2012: 6
- FWCI
- 2.04
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Fisheries Oceanography (publishedVersion)
- Funders
- National Science Council
- 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 › Nature and Landscape Conservation › Ichthyology and Marine Biology
- Keywords
- albacore tuna, species distribution, Indian Ocean, catch per unit effort, life stages, spawning migration, ocean currents, sea surface temperature, chlorophyll, salinity, subsurface temperature, dissolved oxygen, environmental factors
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.
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