Abstract
There is a vast upwelling area induced by the southeast monsoon in the waters off South Java, making the region an important fishing ground. Climate events can affect the variation of upwelling, but oceanographers have different understandings on the extent to which climate events control upwelling in this area, which leads to a lack of basis for studies on the evaluation and mechanisms of the variability of fishery resources in the region. The correlation between environmental parameters, including surface temperature (SST), chlorophyll-a (Chl-a) concentration, and climate event indices in South Java from 2003 to 2020 was analyzed. Results show that the Indian Ocean Dipole (IOD) has a greater influence on the interannual variability of upwelling intensity than ENSO. During the IOD, variations in equatorial latitudinal winds excite different types of Kelvin waves that anomalously deepen or shallow the thermocline, which is the main cause of anomalous variations in upwelling, independent of variations in the local wind field. A correlation between the interannual variability in upwelling and the annual catches was revealed, showing that climatic events indirectly affect fishery resources through upwelling effects. During positive IOD/El Niño periods, strong upwelling delivers more nutrients to the surface layer, which favors fish growth and reproduction, resulting in higher annual catches. A negative IOD/La Niña, on the other hand, leads to weaker upwelling and fewer nutrients into the surface waters. Fish tend to move in deeper waters, making traditional fishing methods less efficient and consequently lower annual catches.
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Data Availability Statement
Remote sensing data supporting the results of this study are available from the International Pacific Research Center (IPRC)/Asia Pacific Data Research Center (APDRC) and the corresponding open web site, detailed at Data Source. The fishery data in this paper are obtained from the publication ‘Statistics of Marine and Coastal Resources’ issued by the Indonesian National Bureau of Statistics.
References
Atmadipoera A S, Jasmine A S, Purba M et al. 2020. Upwelling characteristics in the southern java waters during strong La Niña 2010 and super El Niño 2015. Jurnal Ilmu dan Teknologi Kelautan Tropis, 12(1): 257–276, https://doi.org/10.29244/jitkt.v12i1.28977.
Atmadipoera A S, Khairunnisa Z, Kusuma D W. 2018. Upwelling characteristics during El Niño 2015 in Maluku Sea. IOP Conference Series: Earth and Environmental Science, 176: 012018, https://doi.org/10.1088/1755-1315/176/1/012018.
Behera S K, Luo J J, Masson S et al. 2006. A CGCM study on the interaction between IOD and ENSO. Journal of Climate, 19(19): 1688–1705, https://doi.org/10.1175/JCLI3797.1.
Benazzouz A, Mordane S, Orbi A et al. 2014. An improved coastal upwelling index from sea surface temperature using satellite-based approach—the case of the Canary Current upwelling system. Continental Shelf Research, 81: 38–54, https://doi.org/10.1016/jxsr.2014.03.012.
Cai W, Pan A, Roemmich D, Cowan T. 2009. Argo profiles a rare occurrence of three consecutive positive Indian Ocean Dipole events, 2006–2008. Geophysical Research Letters, 36(8): L08701, https://doi.org/10.1029/2008GL037038.
Chang H W J, Francis A S, Dayou J et al. 2018. Upwelling event characteristics of chlorophyll-a concentration in the surface layer of Sabah waters. Indian Journal of Geo-Marine Sciences, 47(12): 2532–2540.
Chen G X, Han W Q, Li Y L et al. 2015. Intraseasonal variability of upwelling in the equatorial Eastern Indian Ocean. Journal of Geophysical Research, 120(11): 7598–7615, https://doi.org/10.1002/2015JC011223.
Chen G X, Han W Q, Li Y L et al. 2016. Interannual variability of equatorial Eastern Indian Ocean upwelling: Local versus remote forcing. Journal of Physical Oceanography, 46(3): 789–807, https://doi.org/10.1175/JPO-D-15-0117.1.
Chodriyah U, Wiyono E S. 2011. Fishing grounds dynamics of purse seine fisheries in the Java Sea. Indonesian Fisheries Research Journal, 17(1): 21–27, https://doi.org/10.15578/ifrj.17.1.2011.21-27.
Fang X H, Xie R H. 2020. A brief review of ENSO theories and prediction. Science China Earth Sciences, 63(4): 476–491, https://doi.org/10.1007/s11430-019-9539-0.
FAO. 2011. Review of the State of World Marine Fishery resources. FAO, Roma. p.123–125.
Grunseich G, Subrahmanyam B, Murty V S N et al. 2011. Sea surface salinity variability during the Indian Ocean Dipole and ENSO events in the tropical Indian Ocean. Journal of Geophysical Research, 116(C11): C11013, https://doi.org/10.1029/2011JC007456.
Handayani C, Soepardjo A H, Aldrian E. 2019. Impact of a El-Niño Southern Oscillation (ENSO) to fluctuation of skipjack catch production in Southern East Java. Journal of Physics: Conference Series, 1217: 012170, https://doi.org/10.1088/1742-6596/1217/1/012170.
Horii T, Ueki I, Ando K. 2020. Coastal upwelling events, salinity stratification, and barrier layer observed along the southwestern coast of Sumatra. Journal of Geophysical Research, 125(12): e2020JC016287, https://doi.org/10.1029/2020JC016287.
Iskandar I, Rao S A, Tozuka T. 2009. Chlorophyll-a bloom along the southern coasts of Java and Sumatra during 2006. International Journal of Remote Sensing, 30(3): 663–671, https://doi.org/10.1080/01431160802372309.
Khan A M A, Nasution A M, Purba N P et al. 2020. Oceanographic characteristics at fish aggregating device sites for tuna pole-and-line fishery in eastern Indonesia. Fisheries Research, 225: 105471, https://doi.org/10.1016/j.fishres.2019.105471.
Koropitan A F, Kholilullah I, Yusfiandayani R. 2021. Modeling mackerel tuna (Euthynnus affinis) habitat in southern coast of Java: influence of seasonal upwelling and negative IOD. HAYATI Journal of Biosciences. 28(4): 271–285, https://doi.org/10.4308/hjb.28.4.271-285.
Kunarso, Hadi S, Ningsih N S et al. 2020. The classification of upwelling indicators base on sea surface temperature-chlorophyll-a and upwelling index, the case study in Southern Java to Timor Waters. IOP Conference Series: Earth and Environmental Science, 530: 012020, https://doi.org/10.1088/1755-1315/530/1/012020.
Lagerloef G S E, Mitchum G T, Lukas R B et al. 1999. Tropical Pacific near-surface currents estimated from altimeter, wind, and drifter data. Journal of Geophysical Research, 104(C10): 23313–23326, https://doi.org/10.1029/1999JC900197.
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.
Liao X M, Zhan H G, Du Y. 2016. Potential new production in two upwelling regions of the western Arabian Sea: Estimation and comparison. Journal of Geophysical Research, 121(7): 4487–4502, https://doi.org/10.1002/2016JC011707.
Lumban-Gaol J, Leben R R, Vignudelli S et al. 2015. Variability of satellite-derived sea surface height anomaly, and its relationship with Bigeye tuna (Thunnus obesus) catch in the Eastern Indian Ocean. European Journal of Remote Sensing, 48(1): 465–477, https://doi.org/10.5721/EuJRS20154826.
Lumban-Gaol J, Mahapatra K, Okada Y et al. 2002. Fish catch relative to environmental parameters observed from satellite during ENSO and dipole mode events 1997/98 in the South Java Sea. In: Proceedings of PORSEC 2002, p.411–417, https://doi.org/10.13140/2.1.1976.6567.
Lumban-Gaol J, Siswanto E, Mahapatra K et al. 2021. Impact of the strong downwelling (upwelling) on small pelagic fish production during the 2016 (2019) negative (positive) Indian Ocean Dipole events in the eastern Indian ocean off Java. Climate, 9(2): 29, https://doi.org/10.3390/cli9020029.
MooreII T S, Marra J. 2002. Satellite observations of bloom events in the Strait of Ombai: relationships to monsoons and ENSO. Geochemistry, Geophysics, Geosystems, 2(2): 1017, https://doi.org/10.1029/2001GC000174.
Muawanah U, Yusuf G, Adrianto L et al. 2018. Review of national laws and regulation in Indonesia in relation to an ecosystem approach to fisheries management. Marine Policy, 91: 150–160, https://doi.org/10.1016/j.marpol.2018.01.027.
Nagura M, McPhaden M J. 2010. Dynamics of zonal current variations associated with the Indian Ocean dipole. Journal of Geophysical Research, 115(C11): C11026, https://doi.org/10.1029/2010JC006423.
Osawa T, Julimantoro S. 2010. Study of fishery ground around Indonesia archipelago using remote sensing data. In: Sumi A, Fukushi K, Hiramatsu A eds. Adaptation and Mitigation Strategies for Climate Change. Springer, Tokyo. p.57–69, https://doi.org/10.1007/978-4-431-99798-6_4.
Purba N P, Khan A M A. 2019. Upwelling session in Indonesia waters. World News of Natural Sciences, (25): 72–83.
Rao S A, Luo J J, Behera S K et al. 2009. Generation and termination of Indian Ocean dipole events in 2003, 2006 and 2007. Climate Dynamics, 33(6): 751–767, https://doi.org/10.1007/s00382-008-0498-z.
Sachoemar S. 2012. Variability of sea surface chlorophyll-a, temperature and fish catch within Indonesian region revealed by satellite data. Marine Research in Indonesia, 37(2): 75–87, https://doi.org/10.1262/jrd.18024.
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.
Satria F, Sadiyah L, Widodo A A et al. 2018. Characterizing transhipment at-sea activities by longline and purse seine fisheries in response to recent policy changes in Indonesia. Marine Policy, 95: 8–13, https://doi.org/10.1016/j.marpol.2018.06.010.
Siswanto S. 2010. Seasonal pattern of wind induced upwelling over Java-Bali Sea waters and surrounding area. International Journal of Remote Sensing and Earth Sciences, 5: 46–56, https://doi.org/10.30536/j.ijreses.2008.v5.a1228.
Sreeush M G, Valsala V, Pentakota S et al. 2018. Biological production in the Indian Ocean upwelling zones - Part 1: refined estimation via the use of a variable compensation depth in ocean carbon models. Biogeosciences, 15(7): 1895–1918, https://doi.org/10.5194/bg-15-1895-2018.
Subarna D. 2018. The effect of monsoon variability on fish landing in the Sadeng Fishing Port of Yogyakarta, Indonesia. IOP Conference Series: Earth and Environmental Science, 139: 012027, https://doi.org/10.1088/1755-1315/139/1/012027.
Suniada K I. 2020. Variability of sea surface temperature at fisheries management area 715 in Indonesia and its relation to the monsoon, ENSO and fishery production. International Journal of Remote Sensing and Earth Sciences, 17(2): 99–114, https://doi.org/10.30536/j.ijreses.2020.v17.a3370.
Supriyadi E, Hidayat R. 2020. Identification of upwelling area of the western territorial waters of Indonesia from 2000 to 2017. Indonesian Journal of Geography, 52(1): 105–111, https://doi.org/10.22146/ijg.50641.
Susanto R D, Gordon A L, Zheng Q. 2001. Upwelling along the coasts of Java and Sumatra and its relation to ENSO. Geophysical Research Letters, 28(8): 1599–1602, https://doi.org/10.1029/2000GL011844.
Thompson B, Gnanaseelan C, Salvekar P S. 2006. Variability in the Indian Ocean circulation and salinity and its impact on SST anomalies during dipole events. Journal of Marine Research, 64(6): 853–880, https://doi.org/10.1357/002224006779698350.
Tito C K, Susilo E. 2017. The correlation of upwelling phenomena and ocean sunfish occurrences in Nusa Penida, Bali. IOP Conference Series: Earth and Environmental Science, 55: 012031, https://doi.org/10.1088/1755-1315/55/1/012031.
Trenberth K E, Large W G, Olson J G. 1989. The effective drag coefficient for evaluating wind stress over the oceans. Journal of Climate, 2(12): 1507–1516, https://doi.org/10.1175/1520-0442(1989)002<1507:TEDCFE>2.0.CO;2.
Wirasatriya A, Setiawan J D, Sugianto D N et al. 2020. Ekman dynamics variability along the southern coast of Java revealed by satellite data. International Journal of Remote Sensing, 41(21): 8475–8496, https://doi.org/10.1080/01431161.2020.1797215.
Wiryawan B, Loneragan N, Mardhiah U et al. 2020. Catch per unit effort dynamic of yellowfin tuna related to sea surface temperature and chlorophyll in southern Indonesia. Fishes, 5(3): 28, https://doi.org/10.3390/fishes5030028.
Wyrtki K. 1961. Scientific results of marine investigations of the South China Sea and the Gulf of Thailand 1959–1961. Naga Report, 2(4): 677–684.
Wyrtki K. 1962. The upwelling in the region between Java and Australia during the south-east monsoon. Australian Journal of Marine and Freshwater Research, 13(3): 217–225, https://doi.org/10.1071/MF9620217.
Xu T F, Wei Z X, Li S J et al. 2021. Satellite-observed multi-scale variability of sea surface chlorophyll-a concentration along the South Coast of the Sumatra-Java Islands. Remote Sensing, 13(14): 2817, https://doi.org/10.3390/rs13142817.
Yuan D L, Liu H L. 2009. Long-wave dynamics of sea level variations during Indian Ocean dipole events. Journal of Physical Oceanography, 39(5): 1115–1132, https://doi.org/10.1175/2008JPO3900.1.
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The author would like to thank the scientific research institutions mentioned in “Data sources” for providing data support to us, and would like to thank the editors and reviewers for their efforts.
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Supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (Nos. XDB42010203, XDA19060401) and the National Natural Science Foundation of China (Nos. 42176090, 41776011)
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Wen, C., Wang, Z., Wang, J. et al. Variation of the coastal upwelling off South Java and their impact on local fishery resources. J. Ocean. Limnol. 41, 1389–1404 (2023). https://doi.org/10.1007/s00343-022-2031-3
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DOI: https://doi.org/10.1007/s00343-022-2031-3