Contrasting physical mechanisms of yellowfin tuna fluctuations between the western and eastern Indian Ocean

Peng LIAN; Le GAO

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Contrasting physical mechanisms of yellowfin tuna fluctuations between the western and eastern Indian Ocean

Aquaculture and Fisheries | Updated：2024-10-14

- Contrasting physical mechanisms of yellowfin tuna fluctuations between the western and eastern Indian Ocean
- Journal of Oceanology and Limnology Vol. 42, Issue 3, Pages: 960-971(2024)
- Affiliations：
  
  1. Key Laboratory of Ocean Observation and Forecasting and Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
  2. University of Chinese Academy of Sciences, Beijing 100049, China
  3. Laboratory for Ocean Dynamics and Climate, Laoshan Laboratory, Qingdao 266061, China
- Author bio：
  
  gaole@qdio.ac.cn
- Funds：
- DOI：
  CLC：
- Received：30 September 2022，
  
  Accepted：17 November 2022，
  
  Online First：22 February 2023，
  
  Published：01 May 2024
- Accepted：
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LIAN Peng,GAO Le.Contrasting physical mechanisms of yellowfin tuna fluctuations between the western and eastern Indian Ocean[J].Journal of Oceanology and Limnology,2024,42(03):960-971.
DOI：

LIAN Peng,GAO Le.Contrasting physical mechanisms of yellowfin tuna fluctuations between the western and eastern Indian Ocean[J].Journal of Oceanology and Limnology,2024,42(03):960-971. DOI：

摘要

Abstract

As an economically critical pelagic migratory species

yellowfin tuna (

Thunnus

albacores

YFT) is very sensible to physical and environmental conditions

such as sea surface temperature (SST)

ocean heat content (OHC)

and the mixed layer depth (MLD). We investigated the impact of SST

OHC

and MLD on fluctuations of YFT catch in the western/eastern Indian Ocean using the long time series of 63-year environmental and YFT datasets. We found that the impact of SST on YFT was heavily overestimated in the past

and MLD plays a more critical role in the YFT catch fluctuation. When the MLD deepens (

34.8 m)

SST was more influential in predicting the catches of YFT than OHC in the western Indian Ocean

and OHC was more critical to YFT than SST in the eastern Indian Ocean. However

when the MLD shallows (

34.8 m)

MLD was more vital to predict the catch per unit effort (CPUE) of YFT than SST/OHC in the western. After 2000

there was an asynchronous pattern of YFT CPUE induced by higher frequency variations and ocean hiatus of SST/OHC signals in the western and eastern Indian Oceans basins. The impact of the subsurface hiatus may induce the decrease of YFT in the eastern Indian Ocean. The above findings clarified a non-stationary relationship between the environmental factors and catches of YFT and provided new insights into variations in YFT abundance.

关键词

Keywords

references

Abram N J , Gagan M K , Cole J E et al . 2008 . Recent intensification of tropical climate variability in the Indian Ocean . Nature Geoscience , 1 ( 12 ): 849 - 853 , https://doi.‍org/10.1038/ngeo357 https://doi.‍org/10.1038/ngeo357 . https://do 10.1038/ngeo357 http://dx.doi.org/10.1038/ngeo357

Andrews A J , Di Natale A , Bernal-Casasola D et al . 2022 . Exploitation history of Atlantic bluefin tuna in the eastern Atlantic and Mediterranean—insights from ancient bones . ICES Journal of Marine Science , 79 ( 2 ): 247 - 262 , https://doi.org/10.1093/icesjms/fsab261 https://doi.org/10.1093/icesjms/fsab261 .

Artetxe-Arrate I , Fraile I , Marsac F et al . 2021 . A review of the fisheries, life history and stock structure of tropical tuna (skipjack Katsuwonus pelamis , yellowfin Thunnus albacares and bigeye Thunnus obesus ) in the Indian Ocean . Advances in Marine Biology , 88 : 39 - 89 , https://doi.org/10.1016/bs.amb.2020.09.002 https://doi.org/10.1016/bs.amb.2020.09.002 .

Azaneu M , Matthews A J , Baranowski D B . 2021 . Subsurface oceanic structure associated with atmospheric convectively coupled equatorial kelvin waves in the eastern Indian Ocean . Journal of Geophysical Research : Oceans , 126 ( 7 ): e2021 JC 017171 , https://doi.org/10.1029/2021jc017171 https://doi.org/10.1029/2021jc017171 .

Bauer R K , Forget F , Fromentin J M et al . 2020 . Surfacing and vertical behaviour of Atlantic bluefin tuna ( Thunnus thynnus ) in the Mediterranean Sea: implications for aerial surveys . ICES Journal of Marine Science , 77 ( 5 ): 1979 - 1991 , https://doi.org/10.1093/icesjms/fsaa083 https://doi.org/10.1093/icesjms/fsaa083 .

Bernal D , Brill R W , Dickson K A et al . 2017 . Sharing the water column: physiological mechanisms underlying species-specific habitat use in tunas . Reviews in Fish Biology and Fisheries , 27 ( 4 ): 843 - 880 , https://doi.org/10.1007/s11160-017-9497-7 https://doi.org/10.1007/s11160-017-9497-7 .

Bodin N , Chassot E , Sardenne F et al . 2018 . Ecological data for western Indian Ocean tuna . Ecology , 99 ( 5 ): 1245 , https://doi.org/10.1002/ecy.2218 https://doi.org/10.1002/ecy.2218 .

Cai W J , Wang G J , Gan B L et al . 2018 . Stabilised frequency of extreme positive Indian Ocean Dipole under 1.5 °‍‍C warming . Nature Communications , 9 ( 1 ): 1419 , https://doi.org/10.1038/s41467-018-03789-6 https://doi.org/10.1038/s41467-018-03789-6 .

Cai W J , Yang K , Wu L X et al . 2021 . Opposite response of strong and moderate positive Indian Ocean Dipole to global warming . Nature Climate Change , 11 ( 1 ): 27 - 32 , https://doi.org/10.1038/s41558-020-00943-1 https://doi.org/10.1038/s41558-020-00943-1 .

Cheng L J , Trenberth K E , Fasullo J et al . 2017 . Improved estimates of ocean heat content from 1960 to 2015 . Science Advances , 3 ( 3 ): e1601545 , https://doi.‍org/10.1126/sciadv.1601545 https://doi.‍org/10.1126/sciadv.1601545 . https://do 10.1126/sciadv.1601545 http://dx.doi.org/10.1126/sciadv.1601545

Cheng L J , Zhu J . 2016 . Benefits of CMIP5 multimodel ensemble in reconstructing historical ocean subsurface temperature variations . Journal of Climate , 29 ( 15 ): 5393 - 5416 , https://doi.org/10.1175/JCLI-D-15-0730.1 https://doi.org/10.1175/JCLI-D-15-0730.1 .

Druon J N , Fromentin J M , Hanke A R et al . 2016 . Habitat suitability of the Atlantic bluefin tuna by size class: an ecological niche approach . Progress in Oceanography , 142 : 30 - 46 , https://doi.org/10.1016/j.pocean.2016.01.002 https://doi.org/10.1016/j.pocean.2016.01.002 .

Erauskin-Extramiana M , Arrizabalaga H , Hobday A J et al . 2019 . Large-scale distribution of tuna species in a warming ocean . Global Change Biology , 25 ( 6 ): 2043 - 2060 , https://doi.org/10.1111/gcb.14630 https://doi.org/10.1111/gcb.14630 .

Fromentin J M , Lopuszanski D . 2014 . Migration, residency, and homing of bluefin tuna in the western Mediterranean Sea . ICES Journal of Marine Science , 71 ( 3 ): 510 - 518 , https://doi.org/10.1093/icesjms/fst157 https://doi.org/10.1093/icesjms/fst157 .

Grinsted A , Moore J C , Jevrejeva S . 2004 . Application of the cross wavelet transform and wavelet coherence to geophysical time series . Nonlinear Processes in Geophysics , 11 ( 5/6 ): 561 - 566 , https://doi.org/10.5194/npg-11-561-2004 https://doi.org/10.5194/npg-11-561-2004 .

Hameed S N , Jin D C , Thilakan V . 2018 . A model for super El Niños . Nature Communications , 9 : 2528 , https://doi.org/10.1038/s41467-018-04803-7 https://doi.org/10.1038/s41467-018-04803-7 .

Hampton J , Sibert J R , Kleiber P et al . 2005 . Decline of Pacific tuna populations exaggerated? Nature , 434 ( 7037 ): E1 - E2 , https://doi.org/10.1038/nature03581 https://doi.org/10.1038/nature03581 .

Hayashida H , Matear R J , Strutton P G et al . 2020 . Insights into projected changes in marine heatwaves from a high-resolution ocean circulation model . Nature Communications , 11 ( 1 ): 4352 , https://doi.org/10.1038/s41467-020-18241-x https://doi.org/10.1038/s41467-020-18241-x .

Hazen E L , Jorgensen S , Rykaczewski R R et al . 2013 . Predicted habitat shifts of Pacific top predators in a changing climate . Nature Climate Change , 3 ( 3 ): 234 - 238 , https://doi.org/10.1038/nclimate1686 https://doi.org/10.1038/nclimate1686 .

Horii T , Masumoto Y , Ueki I et al . 2009 . Mixed layer temperature balance in the eastern Indian Ocean during the 2006 Indian Ocean dipole . Journal of Geophysical Research , 114 ( C7 ): C07011 , https://doi.org/10.1029/2008jc005180 https://doi.org/10.1029/2008jc005180 .

Jacobs Z L , Jebri F , Srokosz M et al . 2020 . A major ecosystem shift in coastal East African waters during the 1997 / 98 super El Niño as detected using remote sensing data. Remote Sensing , 12 : 3127 , https://doi.org/10.3390/rs12193127 https://doi.org/10.3390/rs12193127 .

Kaplan D M , Chassot E , Amandé J M et al . 2014 . Spatial management of Indian Ocean tropical tuna fisheries: potential and perspectives . ICES Journal of Marine Science , 71 ( 7 ): 1728 - 1749 , https://doi.org/10.1093/icesjms/fst233 https://doi.org/10.1093/icesjms/fst233 .

Lan K W , Evans K , Lee M A . 2013 . Effects of climate variability on the distribution and fishing conditions of yellowfin tuna ( Thunnus albacares ) in the western Indian Ocean . Climatic Change , 119 ( 1 ): 63 - 77 , https://doi.org/10.1007/s10584-012-0637-8 https://doi.org/10.1007/s10584-012-0637-8 .

Lan K W , Lee M A , Nishida T et al . 2012 . Environmental effects on yellowfin tuna catch by the Taiwan longline fishery in the Arabian Sea . International Journal of Remote Sensing , 33 ( 23 ): 7491 - 7506 , https://doi.org/10.1080/01431161.2012.685971 https://doi.org/10.1080/01431161.2012.685971 .

Lee S K , Park W , Baringer M O et al . 2015 . Pacific origin of the abrupt increase in Indian Ocean heat content during the warming hiatus . Nature Geoscience , 8 ( 6 ): 445 - 449 , https://doi.org/10.1038/ngeo2438 https://doi.org/10.1038/ngeo2438 .

Lin C H , Girone A , Nolf D . 2016 . Fish otolith assemblages from Recent NE Atlantic sea bottoms: a comparative study of palaeoecology . Palaeogeography, Palaeoclimatology, Palaeoecology , 446 : 98 - 107 , https://doi.org/10.1016/j.palaeo.2016.01.022 https://doi.org/10.1016/j.palaeo.2016.01.022 .

Lin C H , Lin J S , Chen K S et al . 2020 . Feeding habits of Bigeye Tuna ( Thunnus obesus ) in the Western Indian Ocean reveal a size-related shift in its fine-scale piscivorous diet . Frontiers in Marine Science , 7 : 582571 , https://doi.org/10.3389/fmars.2020.582571 https://doi.org/10.3389/fmars.2020.582571 .

Liu W , Xie S P , Lu J . 2016 . Tracking ocean heat uptake during the surface warming hiatus . Nature Communications , 7 : 10926 , https://doi.org/10.1038/ncomms10926 https://doi.org/10.1038/ncomms10926 .

Liu W , Ye T , Jägermeyr J et al . 2021 . Future climate change significantly alters interannual wheat yield variability over half of harvested areas. Environ . Res . Lett. , 16 ( 9 ): 094045 , https://doi.org/10.1088/1748-9326/ac1fbb https://doi.org/10.1088/1748-9326/ac1fbb .

Luo J G , Ault J S , Shay L K et al . 2015 . Ocean heat content reveals secrets of fish migrations . PLoS One , 10 ( 10 ): e0141101 , https://doi.org/10.1371/journal.pone.0141101 https://doi.org/10.1371/journal.pone.0141101 .

Mamalakis A , Randerson J T , Yu J Y et al . 2021 . Zonally contrasting shifts of the tropical rain belt in response to climate change . Nature Climate Change , 11 ( 2 ): 143 - 151 , https://doi.org/10.1038/s41558-020-00963-x https://doi.org/10.1038/s41558-020-00963-x .

Monllor-Hurtado A , Pennino M G , Sanchez-Lizaso J L . 2017 . Shift in tuna catches due to ocean warming . PLoS One , 12 ( 6 ): e0178196 , https://doi.org/10.1371/journal.pone.0178196 https://doi.org/10.1371/journal.pone.0178196 .

Nakayama S I , Fukuda H , Nakatsuka S . 2020 . Model-free time series analysis detected the contributions of middle-age spawner biomass and the environment on Pacific bluefin tuna recruitment . ICES Journal of Marine Science , 77 ( 4 ): 1480 - 1491 , https://doi.org/10.1093/icesjms/fsz129 https://doi.org/10.1093/icesjms/fsz129 .

Nieves V , Willis J K , Patzert W C . 2015 . Recent hiatus caused by decadal shift in Indo-Pacific heating . Science , 349 ( 6247 ): 532 - 535 , https://doi.org/10.1126/science.aaa4521 https://doi.org/10.1126/science.aaa4521 .

Saji N H , Goswami B N , Vinayachandran P N et al . 1999 . A dipole mode in the tropical Indian Ocean . Nature , 401 ( 6751 ): 360 - 363 , https://doi.org/10.1038/43854 https://doi.org/10.1038/43854 .

Samhouri J F , Andrews K S , Fay G et al . 2017 . Defining ecosystem thresholds for human activities and environmental pressures in the California Current . Ecosphere , 8 ( 6 ): e01860 , https://doi.org/10.1002/ecs2.1860 https://doi.org/10.1002/ecs2.1860 .

Wu Y L , Lan K W , Tian Y J . 2020 . Determining the effect of multiscale climate indices on the global yellowfin tuna ( Thunnus albacares ) population using a time series analysis . Deep Sea Research Part II Topical Studies in Oceanography , 175 ( 2 ): 104808 , https://doi.org/10.1016/j.dsr2.2020.104808 https://doi.org/10.1016/j.dsr2.2020.104808 .

Zhang F . 2020 . Early warning signals of population productivity regime shifts in global fisheries . Ecological Indicators , 115 : 106371 , https://doi.org/10.1016/j.ecolind.2020.106371 https://doi.org/10.1016/j.ecolind.2020.106371 .

Zhou C , Wan R , Cao J et al . 2021 . Spatial variability of bigeye tuna habitat in the Pacific Ocean: hindcast from a refined ecological niche model . Fisheries Oceanography , 30 ( 1 ): 23 - 37 , https://doi.org/10.1111/fog.12500 https://doi.org/10.1111/fog.12500 .

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Related Institution

University of Chinese Academy of Sciences

Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences

Laboratory for Ocean and Climate Dynamics, Qingdao National Laboratory for Marine Science and Technology

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