Temporal variability in the Holocene marine radiocarbon reservoir effect for the Tropical and South Pacific
Introduction
Radiocarbon (14C) chronologies constructed for marine samples are not straightforward as for terrestrial samples, which once lived in equilibrium with atmospheric 14C. Surface ocean samples (e.g., molluscs, corals, coralline algae and planktonic foraminifera) are subject to the marine radiocarbon reservoir effect (or simply the marine reservoir effect, MRE) due to the long residence time of carbon in the oceans, resulting in older 14C ages for these marine samples compared to terrestrial samples of the same age. The MRE, expressed as either marine radiocarbon reservoir age (R) or local/regional marine radiocarbon reservoir correction (ΔR), must be estimated for 14C dating and calibration of marine samples. There are several methods for reliable determination of R and ΔR values including the use of pre-bomb known-age historical marine specimens, dated corals by either band counting or U–Th, paired terrestrial/marine samples, and planktonic foraminifera in deep-sea cores. Details of these methods and their associated criteria are summarised in Table 1.
Traditionally, R and ΔR are assumed to be constant through time and their modern values are employed for age calibration of surface ocean samples (e.g., Stuiver et al., 1986; Alves et al., 2018). However, there is growing evidence that these values are not constant but vary with time. Temporal variations in these values have been documented for a number of oceans and seas (Sikes et al., 2000; Siani et al., 2001; van Beek et al., 2002; Bondevik et al., 2006; Hua et al., 2009; Skinner et al., 2015; Sarnthein et al., 2015; Lindauer et al., 2017; Toth et al., 2017). For the Pacific Ocean, large temporal R and/or ΔR variations of several hundred to almost a thousand of years were reported for a number of Holocene sites, including the Gulf of Panamá (Toth et al., 2015), southern Peru – northern Chile (Ortlieb et al., 2011; Latorre et al., 2017), central Chile (Carré et al., 2016), the South China Sea (SCS, Yu et al., 2010; Hirabayashi et al., 2019), Papua New Guinea (PNG, McGregor et al., 2008; Burr et al., 2015), Solomon Islands (Burr et al., 2015), Heron Reef in the southern Great Barrier Reef (GBR) and Moreton Bay in southeastern Queensland, Australia (Hua et al., 2015), and off the Tasman coast in southeastern Australia (Komugabe-Dixson et al., 2016).
Here we report new values for the MRE for the SCS, and the northern and southern GBR during the past ca. 8.1 cal kyr before present (BP, with 0 BP being AD 1950) derived from 14C analysis of 230Th-dated corals. Based on these new data and those previously published, we discuss temporal variations in this effect not only for our study sites but also for the wider Pacific, including the Tropical and South Pacific, and their implications for ocean circulation variability associated with climatic changes during the Holocene. We then compare these wider Pacific MRE data to the MRE evolution modelled by Butzin et al. (2017) using a 3D ocean model that takes into account effects of climate change, and discuss how our study results in improved 14C dating of Holocene marine samples for this region.
Section snippets
Study sites and modern oceanographic settings
The SCS, located in Southeast Asia, is a marginal sea connecting to the Pacific Ocean (Fig. 1). The SCS is strongly influenced by Asian monsoons and is very sensitive to other climate forcings including the El Niño Southern Oscillation (ENSO) and Pacific decadal variability (Yu et al., 2004; Wang et al., 2005; Yancheva et al., 2007; Hu et al., 2015). Surface waters reaching the SCS originate from the North Equatorial Current (NEC). Upon arriving at the Philippine coast, the westward-flowing NEC
Results
The results of U–Th dating and AMS 14C analysis of 44 coral samples are presented in Supplementary Tables S2 and S3, respectively. 230Th dates representing absolute ages of corals were reported in years relative to the time of measurement, and to AD 1950 or calendar years before present (cal. yr BP). The latter ages were employed for the calculation of ΔR, R and decay-corrected Δ14C values as shown in Supplementary Table S3. As there is a positive correlation between ΔR and R, and a negative
Temporal ΔR variability for the South China Sea
During the Middle Holocene, large variations in SCS ΔR values are evident. Most of the ΔR values in this period are higher or much higher than their modern mean value (Fig. 2a). Our highest ΔR values are obtained from the three oldest corals from Nansha Is., each of which spans only ∼1 yr of growth or less instead of 3–10 yr of growth for the other corals used in our study. An obvious question is whether these high values are due to possible large seasonal/annual variability in surface ocean 14
Conclusion
We have carried out 14C analyses of 230Th-dated corals and known-age shells collected from the SCS and the GBR for the investigation of temporal variability in the marine radiocarbon reservoir effect at these regions during the Holocene. The results show large ΔR variability of several hundred years during the Middle Holocene for the SCS (∼410 yr from trough to peak) and northern GBR (∼490 yr), and smaller ΔR changes of ∼200 yr during the Late Holocene for the SCS.
Our data, together with
Author contributions
All the authors have made substantial contributions to the manuscript. QH, SU, KY and JZ designed the study; KY, TRC, NDL, JMP and JZ conducted field work to collect coral samples; SU collected the shell museum specimens; LDN carried out SEM screening on the study corals; KY, TRC, NDL and JZ performed U–Th dating on the study corals; QH and GEJ carried out AMS 14C analysis for the study shell specimens and coral samples; QH drafted the manuscript with contribution from all authors. All authors
Declaration of competing interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgements
This research was supported by the Australian Institute of Nuclear Science and Engineering (project numbers AINGRA08063, AINGRA06181) and ANSTO’s Environmental Change Program, and an Australian Research Council Future Fellowship awarded to SU (project number FT120100656). U–Th dating for this study was funded by the National Environmental Research Program Tropical Ecosystems Hub Project 1.3 to JZ, JMP and TRC, and Australian Research Council Discovery DP180102526 to JZ. AMS radiocarbon analysis
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