Hostname: page-component-76fb5796d-9pm4c Total loading time: 0 Render date: 2024-04-26T10:46:50.324Z Has data issue: false hasContentIssue false

Interannual 14C Variations During 1977–1998 Recorded in Coral from Daya Bay, South China Sea

Published online by Cambridge University Press:  18 July 2016

C D Shen
Affiliation:
Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710054, China. Corresponding author. Email: cdshen@gig.ac.cn
W X Yi
Affiliation:
Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
K F Yu
Affiliation:
South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
Y M Sun
Affiliation:
Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
Y Yang
Affiliation:
Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
B Zhou
Affiliation:
Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Twenty-two annually banded samples of coral from 1977 to 1998 were collected from Daya Bay, South China Sea, and bomb 14C concentrations were determined. The interannual variation of coral Δ14C is controlled mainly by oceanic factors. In ENSO years, the coastwise upwelling current of the South China Sea has been intensified; hence, the coral Δ14C displays its minimum value. The interannual variation curve of Δ14C in coral bears a relationship with the Southern Oscillation Index (SOI) curves: the correlation coefficient between Δ14C and (SOI)w is 0.43 and the correlation coefficient between Δ14C and (SOI)y is 0.27. The coral Δ14C has no remarkable response to the variation of solar radiation energy. In the past 20 yr or so, the general situation and oceanic thermal structure of the South China Sea are still stable even though interannual variations in atmosphere-sea interaction and upwelling current driven by the tropical energy have occurred.

Type
Part II
Copyright
Copyright © The Arizona Board of Regents on behalf of the University of Arizona 

References

Broecker, WS. 1974. Chemical Oceanography. New York: Harcourt Brace Jovanovich, Inc. p 120–9.Google Scholar
Druffel, ERM. 1982. Banded coral: changes in oceanic carbon-14 during the Little Ice Age. Science 218(4567):13–9Google Scholar
Druffel, ERM, Suess, HE. 1983. On the radiocarbon record in banded corals: exchange parameters and net transport of 14CO2 between atmosphere and surface ocean. Journal of Geophysical Research 88(C2): 1271–80.CrossRefGoogle Scholar
Druffel, ERM. 1996. Post-bomb radiocarbon records of surface corals from the tropical Atlantic ocean. Radiocarbon 38(3):563–72.CrossRefGoogle Scholar
Druffel, ERM, Griffin, S. 1993. Large variations of surface ocean radiocarbon: evidence of circulation changes in the southwestern Pacific. Journal of Geophysical Research 98(C10):20,24959.Google Scholar
Druffel, ERM. 1989. Decade timescale variability of ventilation in the north Atlantic: high-precision measurements of bomb radiocarbon in banded corals. Journal of Geophysical Research 94(3):3271–85.CrossRefGoogle Scholar
Guilderson, TP, Schrag, DP. 1998. Abrupt shift in subsurface temperatures in the tropical Pacific associated with changes in El Niño. Science 28:240–3.Google Scholar
Han, Y. 1998. Oceanic Chemistry of South China Sea. Beijing: Science Press. p 180–6.Google Scholar
Huang, R, Zhang, R, Yan, B. 2001. Dynamical effect of the zonal wind anomalies over the tropical western Pacific on ENSO cycles. Science in China (Series D) 44(12):1089–98.Google Scholar
Levin, I, Hesshaimer, V. 2000. Radiocarbon—a unique tracer of global carbon cycle dynamics. Radiocarbon 42(1):6980.Google Scholar
McCreary, JP. 1983. A model of tropical ocean-atmosphere interaction. Monthly Weather Review 111:370–87.Google Scholar
Morimoto, M, Kitagawa, H, Shibata, Y, Kayanne, H. 2004. Seasonal 14C variation of the surface seawater recorded in a coral from Kikai Island, subtropical Northwestern Pacific. Radiocarbon, these proceedings.Google Scholar
Nemani, RR, Keeling, CD, Hashimoto, H, Jolly, WM, Piper, SC, Tucker, CJ, Myneni, RB, Running, SW. 2003. Climate-driven increases in global terrestrial net primary production from 1982 to 1999. Science 300:1560–3.Google Scholar
Nydal, R. 2000. Radiocarbon in the ocean. Radiocarbon 42(1):8198.Google Scholar
Pan, JP, Wang, ZD. 1998. Annual report of Daya Bay Marine Biology Experiment Station. Beijing: Science Press. p 102–12. In Chinese.Google Scholar
Rasmusson, EM, Wallace, JM. 1983. Meteorological aspects of the EI Niño/Southern Oscillation. Science 222:1195–202.CrossRefGoogle Scholar
Ropelewski, CF. 1992. Predicting EI Niño events. Nature 356:476–7.Google Scholar
Toggweiler, JR, Dixon, K, Broecker, WS. 1991. The Peru upwelling and the ventilation of the South Pacific thermocline. Journal of Geophysical Research 96 (C11):20,46797.CrossRefGoogle Scholar
Troup, AJ. 1965. The Southern Oscillation. Quarterly Journal of the Royal Meteoritical Society 91:456–90.Google Scholar
Wielicki, BA, Wong, T, Allan, RP, Slingo, A, Kiehl, JT, Soden, BJ, Gordon, CT, Miller, AJ, Yang, SK, Randall, DA, Robertson, F, Susskind, J, Jacobowitz, H. 2002. Evidence for large decadal variability in the tropical mean radiative energy budget. Science 295:841–4.CrossRefGoogle ScholarPubMed
Willson, RC. 1997. Total solar irradiance trend during solar cycles 21 and 22. Science 277:1963–5.CrossRefGoogle Scholar
Yu, K, Chen, T, Lian, J. 2002. Yearly variation of heavy metals in Platygyra coral from the Daya Bay and its oceanic environmental implications. Quaternary Research 22(3):230–5. In Chinese.Google Scholar