GEOCHEMICAL JOURNAL
Online ISSN : 1880-5973
Print ISSN : 0016-7002
ISSN-L : 0016-7002
DATA
First dataset of dissolved inorganic radiocarbon in the Tokara Strait
Hui Lan Shoko HirabayashiYosuke MiyairiYusuke Yokoyama
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2023 年 57 巻 6 号 p. 197-203

詳細
Abstract

Radiocarbon (14C) has been widely used to understand the ages in archeology and paleo-environmental sciences. In marine environments, the dissolved inorganic radiocarbon (expressed as DIC Δ14C) of seawater has been used as a reliable tracer in the research of carbon cycling and studies in global to regional water mixing. Here, we present the first high-resolution dataset of DIC Δ14C values in the Tokara Strait collected at eight stations during a cruise on the Research Vessel (R/V) Hakuho-Maru in March 2022. The DIC Δ14C ranges from –211‰ to 28‰ in the upper 1200 m depth of the Tokara Strait. High and modern values (bomb 14C; DIC Δ14C ≥ 0‰) were observed above ~400 m depth at station T3 and above ~200 m depth at other stations. These are indicative of the influence of anthropogenic carbon from above-ground nuclear bomb tests conducted in the Pacific Ocean during the 1940s to 1960s. The dataset also includes hydrographic information (temperature, salinity, and density), all of which may help interpret the DIC Δ14C variations in the Tokara Strait. These datasets are expected to improve our understanding of water mixing processes and the carbon cycle in the Tokara Strait, which has important implications for understanding climate variability.

Introduction

The oceans play an important role in mitigating global warming by absorbing about 30% of total anthropogenic CO2 emissions through air-sea exchange (Gruber et al., 2009). This affects the distribution of the effects of global warming across different geographical regions (Manabe and Stouffer, 2007). Understanding of upper ocean dynamics, including variations in ocean currents and hydrographic properties, is crucial to accurately predict the extent of global warming for the coming decades (Broecker et al., 1995; Druffel et al., 2008). The Kuroshio is a major western boundary current in the North Pacific that transports warm equatorial water poleward. It exerts a significant influence on both ocean circulation and ecosystems within the North Pacific Ocean (NPO), and on the climate of East Asia due to its warm and saline characteristics (Saito, 2019). The Tokara Strait, situated at approximately 30°N and 130°E, is located between the islands of Amami Oshima and Tanegashima, south of Kyushu, Japan, and has a northeast–southwest orientation (Fig. 1). It serves as the primary conduit for the Kuroshio to return from the East China Sea to the NPO. Due to rough bathymetry in the Tokara Strait, turbulent mixing occurs around the shallow seamounts and islands positioned along the route of the Kuroshio in the Tokara Strait (Nagai et al., 2017; Tsutsumi et al., 2017), which influences Japan’s climate and shapes distribution and diversity patterns of biota (Kawai et al., 2013; Hasegawa et al., 2021). In addition, the ongoing Kuroshio Large-Meander (LM), in which the Kuroshio takes an offshore detour and reaches 30°N at its southernmost latitude, began in August 2017 and has had a significant impact on Japan’s climate and fisheries (Qiu et al., 2023). Changes in the position of the Kuroshio in the Tokara Strait are considered crucial for understanding variations in the Kuroshio meander south of Japan (Feng et al., 2000; Kawabe, 2005). Therefore, understanding water mixing processes, local variations in ocean currents, and hydrographic properties in the Tokara Strait is essential for assessing the regional impacts of Kuroshio path variations associated with regional climate change.

Fig. 1.

Map showing locations of water samples (blue circles) collected from the Tokara Strait in March 2022

Dissolved inorganic carbon (DIC) is the largest pool of carbon in the ocean. It constitutes around 95% of total carbon stored in the ocean (38,000 Pg C; Key et al., 2004). The radiocarbon content of DIC (expressed as DIC Δ14C) in seawater is recognized as an important tracer in oceanographic studies (Levin and Hesshaimer, 2000; Sweeney et al., 2007; Hirabayashi et al., 2017; Kubota et al., 2022). Following the above-ground nuclear bomb tests in the Pacific Ocean during the 1940s–1960s, a substantial amount of bomb-produced 14C entered the ocean from the atmosphere through air-sea exchange in surface waters and gradually permeated deeper through water advection and diffusion (Hua et al., 2013, 2022; Yokoyama et al., 2022a, 2022b). The characteristics of the DIC Δ14C distribution underline its importance for the study of oceanic mixing processes and anthropogenic carbon effects caused by the above-ground nuclear bomb tests. Several global ocean radiocarbon studies, such as the Geochemical Ocean Section Study (GEOSECS), the World Ocean Circulation Experiment (WOCE), and the Global Ocean Ship-Based Hydrographic Investigations Program (GO-SHIP), include DIC Δ14C as a key parameter. However, to the best of our knowledge, no records of DIC Δ14C data are available for the Tokara Strait, as observations of DIC Δ14C in global surveys within the Kuroshio region are primarily focused along fixed transects in the Kuroshio Extension area, such as the P10 line (~147°E). Here, we present the first high-resolution DIC Δ14C measurements in the Tokara Strait, which are valuable for studying the local water mixing processes occurring in the Tokara Strait and assessing the impact of anthropogenic carbon in this region.

Methods

Sample collection

The water samples were collected at 8 stations of the Tokara Strait during a cruise on the R/V Hakuho-Maru in March 2022 (Fig. 1). To determine the radiocarbon content of DIC in the seawater, the seawater samples were taken by the CTD (Conductivity, Temperature, and Depth sensors) rosette sampler with 24-Niskin bottles (12-liter type). These seawater samples were collected at 11 different depths, ranging from 10 m to a maximum depth of 1200 m (Table 1). At Station T3, the deepest site in this study which reaches the bottom of the Tokara Strait, seawater samples were collected throughout the entire depth. However, at other stations with shallower depths, the maximum sampling depth did not exceed 400 m. At each station, the hydrographic characteristics (temperature, salinity, and density) were determined using a Sea-bird SBE-9 plus CTD. All the DIC Δ14C and hydrographic data are summarized in Table 1.

Table 1.

Summary description of the sampling stations, hydrographic data (temperature, salinity, and density), and DIC Δ14C values for water collected at the Tokara Strait

Lab. No. Date
[yyyy/m/d]
Stn. Latitude
[°N]
Longitude
[°E]
Bot.Depth
[m]
Sampling depth
[m]
Temperature
[°C]
Salinity σθ
[kg/m3]
Δ14C
[‰]
YAUT-072916 2022/3/9 T1 28.526 129.774 88 10 20.15 34.73 24.52 23.2 ± 2.9
YAUT-072917 2022/3/9 T1 28.526 129.774 88 50 20.01 34.73 24.56 25.1 ± 2.2
YAUT-072918 2022/3/9 T2 28.867 129.893 302 10 20.24 34.71 24.48 24.9 ± 1.9
YAUT-072919 2022/3/9 T2 28.867 129.893 302 50 20.23 34.71 24.48 21.4 ± 1.8
YAUT-072923 2022/3/9 T2 28.867 129.893 302 100 20.07 34.73 24.54 26.6 ± 2.7
YAUT-072924 2022/3/9 T2 28.867 129.893 302 150 19.48 34.76 24.72 25.0 ± 2.1
YAUT-073902 2022/3/9 T2 28.867 129.893 302 200 18.08 34.73 25.06 25.0 ± 6.1
YAUT-073903 2022/3/9 T2 28.867 129.893 302 290 16.53 34.68 25.39 22.4 ± 5.2
YAUT-073915 2022/3/9 T3 29.164 130.018 1402 10 20.73 34.64 24.29 25.6 ± 6.3
YAUT-073916 2022/3/9 T3 29.164 130.018 1402 50 20.67 34.63 24.31 16.3 ± 4.7
YAUT-073917 2022/3/9 T3 29.164 130.018 1402 100 20.37 34.69 24.44 21.1 ± 3.6
YAUT-073918 2022/3/9 T3 29.164 130.018 1402 150 20.35 34.72 24.46 25.5 ± 3.9
YAUT-073919 2022/3/9 T3 29.164 130.018 1402 200 20.24 34.74 24.51 28.0 ± 2.8
YAUT-073923 2022/3/9 T3 29.164 130.018 1402 300 17.91 34.73 25.10 28.4 ± 2.7
YAUT-073924 2022/3/9 T3 29.164 130.018 1402 400 13.50 34.48 25.90 24.1 ± 2.8
YAUT-073925 2022/3/9 T3 29.164 130.018 1402 600 8.71 34.32 26.64 –56.5 ± 2.6
YAUT-073926 2022/3/9 T3 29.164 130.018 1402 800 4.68 34.37 27.22 –159.7 ± 4.6
YAUT-073928 2022/3/9 T3 29.164 130.018 1402 1000 3.50 34.42 27.38 –194.0 ± 3.5
YAUT-073929 2022/3/9 T3 29.164 130.018 1402 1200 3.01 34.47 27.47 –211.1 ± 3.4
YAUT-073904 2022/3/9 T4 29.494 130.147 409 10 21.62 34.58 24.01 14.2 ± 4.1
YAUT-073905 2022/3/9 T4 29.494 130.147 409 50 21.62 34.58 24.01 19.1 ± 9.9
YAUT-073906 2022/3/9 T4 29.494 130.147 409 100 21.61 34.58 24.01 14.2 ± 5.1
YAUT-073909 2022/3/9 T4 29.494 130.147 409 150 21.27 34.62 24.14 20.4 ± 3.7
YAUT-073911 2022/3/9 T4 29.494 130.147 409 200 19.73 34.74 24.64 21.4 ± 4.8
YAUT-073912 2022/3/9 T4 29.494 130.147 409 300 14.96 34.57 25.66 12.5 ± 5.7
YAUT-073913 2022/3/9 T4 29.494 130.147 409 400 13.48 34.48 25.91 1.1 ± 6.5
YAUT-073931 2022/3/10 T5 29.834 130.288 223 10 21.67 34.58 23.99 21.6 ± 3.9
YAUT-073932 2022/3/10 T5 29.834 130.288 223 50 21.57 34.59 24.03 17.5 ± 4.4
YAUT-073933 2022/3/10 T5 29.834 130.288 223 100 20.72 34.65 24.31 21.5 ± 4.0
YAUT-073936 2022/3/10 T5 29.834 130.288 223 150 20.37 34.67 24.42 25.0 ± 4.1
YAUT-073937 2022/3/10 T5 29.834 130.288 223 200 18.19 34.68 24.99 22.9 ± 3.6
YAUT-073938 2022/3/10 T6 30.158 130.420 246 10 21.33 34.57 24.08 15.4 ± 2.9
YAUT-073939 2022/3/10 T6 30.158 130.420 246 50 20.47 34.59 24.32 20.1 ± 3.9
YAUT-074102 2022/3/10 T6 30.158 130.420 246 100 18.58 34.61 24.83 20.2 ± 2.5
YAUT-074103 2022/3/10 T6 30.158 130.420 246 150 17.95 34.61 24.99 24.4 ± 3.2
YAUT-074104 2022/3/10 T6 30.158 130.420 246 200 17.82 34.61 25.03 14.0 ± 2.8
YAUT-074105 2022/3/10 P1 30.586 130.662 177 10 18.60 34.63 24.84 19.3 ± 3.3
YAUT-074106 2022/3/10 P1 30.586 130.662 177 50 18.50 34.63 24.87 24.0 ± 2.9
YAUT-074109 2022/3/10 P1 30.586 130.662 177 100 18.31 34.62 24.91 21.5 ± 2.8
YAUT-074111 2022/3/10 P1 30.586 130.662 177 150 16.96 34.60 25.22 20.8 ± 3.6
YAUT-074112 2022/3/10 P2 30.833 130.669 177 10 18.54 34.63 24.86 25.5 ± 2.9
YAUT-074113 2022/3/10 P2 30.833 130.669 177 50 18.40 34.63 24.89 22.4 ± 3.5
YAUT-074115 2022/3/10 P2 30.833 130.669 177 100 16.91 34.60 25.23 19.0 ± 3.0
YAUT-074116 2022/3/10 P2 30.833 130.669 177 150 15.90 34.56 25.44 13.4 ± 2.6

The water samples for DIC Δ14C analysis were slowly transferred into 250 mL glass bottles from the Niskin bottles. After a three-fold volume overflow to prevent air contamination, the samples were poisoned with 50 μL of a saturated mercuric (II) chloride (HgCl2) solution for preservation. Subsequently, the glass bottles were capped tightly with a grease-coated, ground-glass stopper and sealed with parafilm to prevent the exchange of CO2 with the atmosphere. All DIC Δ14C samples were stored in the dark at room temperature until analysis. The maximum storage period until analysis was 2 months.

The 14C Analysis

Extraction of CO2 gas and preparation of graphitization for all samples were carried out at the Atmosphere and Ocean Research Institute (AORI), the University of Tokyo. The water samples were first processed using the bubbling method (McNichol et al., 1994; Servettaz et al., 2019). The bubbling device is assembled under an Argon (Ar) atmosphere. Then, by using a vacuum line system for water samples, 2 mL of phosphoric acid is added to seawater and bubbling is then carried out for 15 minutes in a glass tube filled with 60 kPa of helium (He) gas to remove the CO2 liberated from DIC (Ota et al., 2021). During the 15-minute of degassing processes under the He gas atmosphere, water vapor is initially removed by two cryogenic traps containing cooled ethanol at –120°C. Subsequently, the evolved CO2 is trapped by a liquid nitrogen trap at –196°C and quantified at the nanometric level. Finally, the purified CO2 samples are reduced to graphite using iron powder and pure hydrogen at 630°C for 6 hours, following the method described by Yokoyama et al. (2007, 2010). The DIC Δ14C values of these samples were then analyzed using a single stage Accelerator Mass Spectrometer (YS-AMS: National Electrostatic Corporation, SAMS) at the AORI, University of Tokyo (Yamane et al., 2019; Yokoyama et al., 2019, 2022b). 12C and 13C are measured as well to correct for isotope fractionation effects. The 14C/12C measurement precision on standard material is better than 0.1% (Yokoyama et al., 2022b).

The 14C measurements can effectively date carbon that originated up to ~50,000 years before the present (BP; years before CE 1950). 14C content in units of percent modern carbon (pMC) obtained by the abc program (version 7.0) from NEC is shown in equation 1 (Stenström et al., 2011):

  
C14 content (pMC)=(C14C12)SN(C14C12)ON×100%(1)

where (14C/12C)SN and (14C/12C)ON are the 14C/12C ratios of samples and standards measured by the AMS and are normalized by the AMS δ13C value (see equation 2 for δ13C notation) measured simultaneously. The AMS δ13C value for the sample was normalized to a value of –25‰ (VPDB: Vienna Pee Dee Belemnite), which is the δ13C value of the wood (Stenström et al., 2011), to remove the influence of isotopic fractionation during natural processes such as photosynthesis, assimilation, and respiration. This normalized 14C value is then compared to 95% of the 14C/12C ratio of reference standards (OxI, NBS: When other standards are used, e.g., NIST oxalic acid SRM4990C, the specific activity values are used to correct for OxI equivalent values) that are also measured by AMS and are corrected to their δ13C values (Yokoyama et al., 2019). The δ13C values are expressed relative to the international standard VPDB according to equation 2:

  
δC13=[(C13C12)sample(C13C12)standard-1]×1000(2)

The term “measured fraction modern”, denoted as Fm, was introduced by Donahue et al. (1990) as shown in equation 3:

  
Fm=pMC100%(3)

In this study, results of the 14C analyses are reported as Δ14C, expressed in per mille (‰), as shown in equation 4 (Stuiver and Polach, 1977; Stenström et al., 2011):

  
C14=(Fme((1950-x)/8267)-1)×1000(4)

where x is the year of the sample measurement.

Errors for 14C analyses are given as 1σ standard deviation of at least 10 repeated measurements on the same sample. Errors in Δ14C measurements based on repeated analyses of the same seawater sample (n = 6) were ±3.8‰ (1σ).

Results

Vertical profiles and sectional distributions of water temperature, salinity, density, and DIC Δ14C values measured at eight sampling stations in the Tokara Strait are shown in Fig. 2. The T-S diagram of all stations in the Tokara Strait is plotted in Fig. 3. Thermocline and halocline of stations at the Tokara Strait fluctuates significantly from station to station, which indicates the highly dynamic ocean condition in the Tokara Strait (Fig. 2a–d). Seawater of stations T6, P1, and P2 were characterized by lower temperature and lower salinity (Fig. 3). This could be due to the influence of terrestrial water due to the shallow water depth and/or marked differences in surface temperature and salinity between the north and south sides of the Kuroshio axis, as the Kuroshio transports warm, saline water from the tropical Pacific Ocean. The DIC Δ14C values ranged from –211‰ to 28‰ from surface to 1200 m depth in the Tokara Strait (Fig. 2g and h). This wide range of DIC Δ14C values enables us to observe the mixing behaviors of seawater. For instance, a lower DIC Δ14C value (1‰) was found at a depth of 400 m at station T4, compared to the value (24‰) at station T3. This suggests the influence of upwelling deeper waters, possibly related to the bottom topography at station T4. High and modern values (bomb 14C; DIC Δ14C ≥ 0‰) were observed above ~400 m depth at station T3 and above 200 m depth at other stations. This is mainly caused by the bomb Δ14C signal in the atmosphere being mixed into the upper ocean through air-sea exchange. Thus, the DIC Δ14C distribution in the Tokara Strait presented here shows great significance for studying water mixing processes and anthropogenic carbon effects. Further detailed discussions of DIC Δ14C variations in the Tokara Strait as well as the whole region of the western NPO will be presented in a future paper.

Fig. 2.

Depth profiles and sectional distributions of water temperature (a, b), salinity (c, d), density (e, f), and DIC Δ14C values (g, h) for sampling stations in the Tokara Strait in March 2022. The letters below the figures (b), (d), (f), and (h) show the sampling stations.

Fig. 3.

The potential temperature vs. salinity (T-S) diagram for sampling stations in the Tokara Strait in March 2022. Isoclines (σ0) are included in the figures. The dashed lines correspond to the CTD data at each station. The colors of the circles indicate the DIC Δ14C values for water samples.

Acknowledgments

We thank the crew of the R/V Hakuho-Maru (KH-22-5) for their cooperation and help on board. We are grateful to Dr. T. Aze and Dr. C. Sawada (AORI) for their support on AMS measurements. This work was supported by JSPS KAKENHI (20H00193; 23KK0013; 23H02541) and UTokyo FSI project (Implementation of the Subtropical Kuroshio Research and Education Center for Evaluating Japanese Environmental Changes and Ecosystems in Anthropocene). H. Lan acknowledges the financial support from China Scholarship Council (No. 202108050131).

References
 
© 2023 by The Geochemical Society of Japan

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