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Seasonal Driven Mechanism of the Surface Chlorophyll-A Distribution along the Western Coast of Sumatra

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The chlorophyll-a (chl) abundances on the Fisheries Management Area of Indonesia Republic (WPP-RI 572), as fishery resources over the western coast of Sumatera (WSC) and Sunda Strait, were examined in this study. The extensive investigation on the mechanism ocean dynamics on chl variability along WSC was observed by using remotely sensed data on the surface. The spatial analysis was conducted using the Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua Ocean colour data for a period of January 2003 to December 2015. On seasonal time scale, the surface chlorophyll-a (schl) concentration in the southern tip of Sumatra is higher than the schl in the northern tip of Sumatra. The obtained results showed that the schl concentration in the southern tip of Sumatra increases (decreases) during the southeast (northwest) monsoons. Interestingly, its interactions with the southeast monsoon wind result in intensified coastal upwelling along the monsoon trough in July – August. It triggered a large bloom of the schl concentration from the upwelling region of southern tip Sumatra. Moreover, the schl in the center region followed the peak of the equatorial wind during the period transition in the Indian Ocean which is controlling the dynamics ocean such as upwelling event. Meanwhile, the opposite situation of the schl concentration observed low along the western coast of Sumatra during the northwest monsoon. At the same time, strong upwelling observed at the northern tip of Sumatra was associated with intense cooling on the sea surface temperature. It triggered a large bloom of high schl water from the upwelling region of northern Sumatra Island.
Słowa kluczowe
Rocznik
Strony
254--260
Opis fizyczny
Bibliogr. 27 poz., rys.
Twórcy
  • Study Program of Marine Science, Faculty of Fisheries and Marine Science, Universitas Padjadjaran, Hegarmanah, Jatinangor, Sumedang Regency, West Java 45363, Indonesia
autor
  • Department of Environmental Geochemical Cycle Research Research and Development Center for Global Change (concurrent) Japan Agency for Marine-Earth Science and Technology 3173-25, Showa-machi, Kanazawa-ku, Yokohama, Kanagawa, 236-0001, Japan
  • Research Center for Oceanography, Research Organization for Earth Sciences and Maritime, BRIN, Jl. Pasir Putih Raya, Ancol, Pademangan, Jakarta Utara, DKI Jakarta, 14430, Indonesia
  • Research Center for Geotechnology, Research Organization for Earth Sciences and Maritime, BRIN, Komplek LIPI, Jl Sangkuriang Bandung 40135, Indonesia
  • Research Center for Geological Resources, Research Organization for Earth Sciences and Maritime, BRIN, Jl. Sangkuriang 21 Bandung 40135, Indonesia
autor
  • Department of Agroecotechnology, Faculty of Agriculture, Universitas Musi Rawas, Jl. Pembangunan Komplek Perkantoran Pemda Mura, Lubuklinggau, Sumatera Selatan, Indonesia
autor
  • Study Program of Marine Science, Faculty of Fisheries and Marine Science, Universitas Padjadjaran, Hegarmanah, Jatinangor, Sumedang Regency, West Java 45363, Indonesia
autor
  • Study Program of Marine Science, Faculty of Fisheries and Marine Science, Universitas Padjadjaran, Hegarmanah, Jatinangor, Sumedang Regency, West Java 45363, Indonesia
  • Department of Physics, Faculty of Mathematics and Natural Sciences, University of Sriwijaya, Inderalaya, South Sumatra, 30662, Indonesia
Bibliografia
  • 1. Alvera-Azcárate, A., Barth, A., Beckers, J.M., Weisberg, R.H. 2007. Multivariate reconstruction of missing data in sea surface temperature, chlorophyll, and wind satellite fields. J. Geophys. Res. Ocean., 112, 1–11.
  • 2. Chassot, E., Bonhommeau, S., Dulvy, N.K., Mélin, F., Watson, R., Gascuel, D., Le Pape, O. 2010. Global marine primary production constrains fisheries catches. Ecol. Lett., 13, 495–505.
  • 3. Chen, G., Xiu, P., Chai, F. 2014. Physical and biological controls on the summer chlorophyll bloom to the east of Vietnam. J. Oceanogr. 70: 323–328.
  • 4. El Hourany, R., Fadel, A., Gemayel, E., Abboud-Abi Saab, M., Faour, G. 2017. Spatio-temporal variability of the phytoplankton biomass in the Levantine basin between 2002 and 2015 using MODIS products. Oceanologia, 59, 153–165.
  • 5. Frouin, R., Schwindling, M., Deschamps, P.Y. 1996. Spectral reflectance of sea foam in the visible and near-infrared: In situ measurements and remote sensing implications. J. Geophys. Res. C Ocean, 101, 14361–14371.
  • 6. Gregg, W.W., Casey, N.W. 2004. Global and regional evaluation of the SeaWiFS chlorophyll data set. Remote Sens. Environ, 93, 463–479.
  • 7. Hendiarti, N. 2008. Hubungan antara keberadaan ikan pelagis dengan fenomena oseanografi dan perubahan iklim musiman berdasarkan analisis data. Penginderaan Jauh. Maj. Ilm. Globë.
  • 8. Hong, L., Wang, C., Zhou, Y., Chen, M., Liu, H., Lin, Z., Song, X. 2012. The distribution of chlorophyll a in the tropical eastern Indian Ocean in austral summer. Acta Oceanol. Sin., 31, 146–159.
  • 9. Hout, Y., Babin, M., Bruyant, F., Grob, C., Twardowski, M.S., Claustre, H. 2007. Does chlorophyll a provide the best index of phytoplankton biomass for primary productivity studies? Biogeosciences Discuss., 4, 707–745.
  • 10. Iskandar, I., Rao, S.A., Tozuka, T. 2009. Chlorophyll-a bloom along the southern coasts of Java and Sumatra during 2006. Int. J. Remote Sens., 30, 663–671.
  • 11. Iskandar, I, Sari, Q.W., Setiabudiday, D., Yustian, I., Monger, B. 2017. The distribution and variability of chlorophyll-a bloom in the southeastern tropical Indian ocean using empirical orthogonal function analysis. Biodiversitas., 18, 1546–1555.
  • 12. Johari, A., Akhir, M.F., Satar, M.N., Zainol, Z., Jingsong, G. 2021. Inter-annual changes of water temperature in the Southern South China Sea’s continental shelf: The influence of ENSO on Malaysian waters. J. Mar. Sci. Technol., 29, 569–581.
  • 13. Moisan, T.A., Rufty, K.M., Moisan, J.R., Linkswiler, M.A. 2017. Satellite observations of phytoplankton functional type spatial distributions, phenology, diversity, and ecotones. Front. Mar. Sci., 4, 1–24.
  • 14. Mous, P.J., Gede, W., Pet, J.S. 2020. Length-based stock assessment of a species complex caught in deepwater demersal fisheries targeting snappers in Indonesia fishery management area WPP572.
  • 15. Nuris, R., Gaol, J.L., Prayogo, T. 2017. Chlorophyll-a concentrations estimation from aqua-modis and VIIRS-NPP satellite sensors in South Java Sea waters. Int. J. Remote Sens. Earth Sci., 12, 63.
  • 16. Pranowo, W.S., Kuswardani, A.R.T.D., Nugraha, B., Novianto, D., Muawanah, U., Prihatno, H., Yu, W. 2016. Ocean-climate interaction of south eastern Indian Ocean for tuna fisheries and its socio-economy impacts. Int. J. Sci. Res., 5, 1956–1961.
  • 17. Reynolds, R.W., Smith, T.M., Liu, C., Chelton, D.B., Casey, K.S., Schlax, M.G. 2007. Daily high-resolution-blended analyses for sea surface temperature. J. Clim., 20, 5473–5496.
  • 18. Roxy, M.K., Ritika, K., Terray, P., Masson, S. 2014. The curious case of Indian Ocean warming. J. Clim., 27, 8501–8509.
  • 19. Sari, Q.W., Utari, P.A., Setiabudidaya, D., Yustian, I., Siswanto, E., Iskandar, I. 2018. Variability of surface chlorophyll-a distributions in the northwestern coast of Sumatra revealed by MODIS. J. Phys. Conf. Ser., 1080, 1–8.
  • 20. Sari, Q.W., Utari, P.A., Setiabudidaya, D., Yustian, I., Siswanto, E., Iskandar, I. 2020. Surface chlorophyll-a variations in the Southeastern Tropical Indian Ocean during various types of the positive Indian Ocean Dipole events. Int. J. Remote Sens., 41, 171–184.
  • 21. Schalles, J.F. 2006. Optical remote sensing techniques to estimate phytoplankton chlorophyll a concentrations in coastal. In Remote Sensing of Aquatic Coastal Ecosystem Processes. Springer, Dordrecht, The Netherlands. doi:10.1007/1-4020-3968-9_3
  • 22. Siswanto, E., Horii, T., Iskandar, I., Gaol, J.L., Setiawan, R. ., Susanto, R. D. 2020. Impacts of climate changes on the phytoplankton biomass of the Indonesian Maritime Continent. J. Mar. Syst. 212. doi:10.1016/j.jmarsys.2020.103451
  • 23. Son, T.P.H., Chung, T. Van, Huan, N.H., Tien, N.M., Tac, V. Van, Khang, N.H.T., ... Siswanto, E. 2017. Abnormal features of oceanographic characteristics in upwelling Vietnam waters under impact of El Niño events. Vietnam J. Earth Sci., 39, 225–239.
  • 24. Susanto, R.D., Gordon, A.L., Zheng, Q. 2001. Upwelling along the coasts of Java and Sumatra and its relation to ENSO. Geophys. Res. Lett.
  • 25. Susanto, R.D., Moore, T.S., Marra, J. 2006. Ocean color variability in the Indonesian Seas during the SeaWiFS era. Geochemistry, Geophys. Geosystems. 7. 1-16. doi:10.1029/2005GC001009
  • 26. Vinogradova, N., Lee, T., Boutin, J., Drushka, K., Fournier, S., Sabia, R., Lindstrom, E. 2019. Satellite salinity observing system: Recent discoveries and the way forward. Front. Mar. Sci., 6, 1–23.
  • 27. Wirasatriya, A., Susanto, R.D., Kunarso, K., Jalil, A.R., Ramdani, F., Puryajati, A.D. 2021. Northwest monsoon upwelling within the Indonesian seas. Int. J. Remote Sens., 42, 5437–5458.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-78a7d6ab-8250-45ec-af6a-5f264ea15c99
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