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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Earth Sci.</journal-id>
<journal-title>Frontiers in Earth Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Earth Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-6463</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">886120</article-id>
<article-id pub-id-type="doi">10.3389/feart.2022.886120</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Earth Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Glacial-Interglacial Variations in Organic Carbon Burial in the Northwest Pacific Ocean Over the Last 380 kyr and its Environmental Implications</article-title>
<alt-title alt-title-type="left-running-head">Zhang et al.</alt-title>
<alt-title alt-title-type="right-running-head">Long-Term OC Burial</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Yuying</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1687118/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Hu</surname>
<given-names>Limin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Yonghua</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1275062/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Dong</surname>
<given-names>Zhi</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1053124/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yao</surname>
<given-names>Zhengquan</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1162581/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gong</surname>
<given-names>Xun</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Yanguang</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1187281/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ikehara</surname>
<given-names>Minoru</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Shi</surname>
<given-names>Xuefa</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/999246/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>College of Marine Geosciences</institution>, <institution>Key Laboratory of Submarine Geosciences and Prospecting Technology</institution>, <institution>Ocean University of China</institution>, <addr-line>Qingdao</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Laboratory for Marine Geology</institution>, <institution>Pilot National Laboratory for Marine Science and Technology</institution>, <addr-line>Qingdao</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Key Laboratory of Marine Geology and Metallogeny</institution>, <institution>First Institute of Oceanography</institution>, <institution>Ministry of Natural Resources</institution>, <addr-line>Qingdao</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Hubei Key Laboratory of Marine Geological Resources</institution>, <institution>China University of Geosciences</institution>, <addr-line>Wuhan</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Shandong Provincial Key Laboratory of Computer Networks</institution>, <institution>Qilu University of Technology (Shandong Academy of Sciences)</institution>, <addr-line>Jinan</addr-line>, <country>China</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Center for Advanced Marine Core Research</institution>, <institution>Kochi University</institution>, <addr-line>Kochi</addr-line>, <country>Japan</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1414858/overview">Fangjian Xu</ext-link>, Hainan University, China</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/38475/overview">Francien Peterse</ext-link>, Utrecht University, Netherlands</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1702595/overview">Li-Wei Zheng</ext-link>, Hainan University, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/90070/overview">Liang Yi</ext-link>, Tongji University, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Limin Hu, <email>hulimin@ouc.edu.cn</email>; Xuefa Shi, <email>xfshi@fio.org.cn</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Quaternary Science, Geomorphology and Paleoenvironment, a section of the journal Frontiers in Earth Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>31</day>
<month>05</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>10</volume>
<elocation-id>886120</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>04</day>
<month>05</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Zhang, Hu, Wu, Dong, Yao, Gong, Liu, Ikehara and Shi.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Zhang, Hu, Wu, Dong, Yao, Gong, Liu, Ikehara and Shi</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>The carbon cycle on the Earth&#x2019;s surface is linked to long-term variations in atmospheric CO<sub>2</sub> as well as carbon sequestration in various pools. The burial of particulate organic carbon (OC) in marine sediments is also highly sensitive to the global climate over geological time scales, but with little known about OC burial and its regulations over glacial-interglacial cycles. Here, we present a long-term OC record over the past &#x223c;380&#xa0;kyr, from the Northwest Pacific Ocean, an ideal region for studying OC burial and its environmental implications on glacial-interglacial timescales. We observed a distinct cyclicity of higher OC burial in glacial periods, which was coupled with input from Asian dust and the Kuroshio Current but seemingly decoupled from biogenic element contents, implying a limited effect of marine productivity on OC burial. Moreover, the sedimentary record of OC was synchronous with oceanic redox conditions, especially the redox sensitive elements at the sediment-water interface, indicating a relatively reducing conditions that enhanced OC preservation during glacial periods. The overall glacial-interglacial OC burial regime in the Northwest Pacific Ocean was conceptually constructed. It showed a higher efficiency of OC burial during glacial periods and significant degradation during interglacial periods. The findings of this study highlighted the important contribution of environmental redox conditions on OC burial in the deep Northwest Pacific, demonstrating the sensitivity of the carbon cycle to global climate on an orbital scale.</p>
</abstract>
<kwd-group>
<kwd>organic carbon burial</kwd>
<kwd>marine productivity</kwd>
<kwd>redox conditions</kwd>
<kwd>glacial-interglacial</kwd>
<kwd>Northwest Pacific Ocean</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Oceanic processes account for the observed 80&#x2013;100&#xa0;ppm drawdown of atmospheric CO<sub>2</sub> concentration during glacial periods (<xref ref-type="bibr" rid="B33">Kohfeld et al., 2005</xref>) with marine sediment as an important reservoir of global organic carbon (OC), constraining air-sea CO<sub>2</sub> flux (<xref ref-type="bibr" rid="B49">Petit et al., 1999</xref>; <xref ref-type="bibr" rid="B58">Sigman and Boyle., 2000</xref>). Previous studies have suggested that the long-term storage of OC burial in sediments (<xref ref-type="bibr" rid="B18">Hall and McCave, 1998</xref>; <xref ref-type="bibr" rid="B1">Agnihotri et al., 2003</xref>), which accounts for only a little of the export from the surface, has a very sensitive response to paleoclimate variations (<xref ref-type="bibr" rid="B9">Cartapanis et al., 2016</xref>). Moreover, the fate of OC in marine sediments has important implications for oceanic biological, geochemical, and physical processes on glacial-interglacial timescales (<xref ref-type="bibr" rid="B34">LaRowe et al., 2020</xref>). For example, the enhanced burial of sedimentary OC during glacial periods is related to increased biological productivity (<xref ref-type="bibr" rid="B53">Sarnthein et al., 1988</xref>), higher transfer efficiency from the exposed continental shelf to the water column (<xref ref-type="bibr" rid="B29">Keil et al., 1997</xref>), and/or better preservation under reduced oxygenation (<xref ref-type="bibr" rid="B21">Hoogakker et al., 2015</xref>).</p>
<p>Marine primary productivity, which is influenced by iron availability to plankton, ocean nutrient content and utilization, and other factors, removes CO<sub>2</sub> from the air and produces organic matter through photosynthesis and results in OC storage (<xref ref-type="bibr" rid="B33">Kohfeld et al., 2005</xref>). Hence, productivity is considered as one of the most important drivers of OC supply and burial (<xref ref-type="bibr" rid="B1">Agnihotri et al., 2003</xref>). During OC export to the deeper ocean, there is a continuous loss of vertical transport from the surface (<xref ref-type="bibr" rid="B54">Schoepfer et al., 2015</xref>). The continental dust input revealed by deep-sea sediment records generally exhibits fluxes several times higher during glacials compared to interglacials (<xref ref-type="bibr" rid="B3">Anderson et al., 2006</xref>; <xref ref-type="bibr" rid="B50">Rea, 2007</xref>). This may affect marine productivity (<xref ref-type="bibr" rid="B63">Th&#xf6;le et al., 2019</xref>) as well as OC composition and preservation (<xref ref-type="bibr" rid="B9">Cartapanis et al., 2016</xref>). As critical components of the global carbon cycle, OC degradation and preservation are closely regulated by oceanic redox conditions (<xref ref-type="bibr" rid="B34">LaRowe et al., 2020</xref>). It has been shown that most of the OC generated by marine surface production is rapidly oxidized and consumed by microbial degradation (approximately 80&#x2013;90%) (<xref ref-type="bibr" rid="B46">Opsahl and Benner, 1997</xref>), reducing its preservation efficiency to only about 1% (<xref ref-type="bibr" rid="B20">Hedges et al., 1997</xref>). The influences of oxygen concentration and exposure time on OC preservation in sediments (<xref ref-type="bibr" rid="B19">Hartnett et al., 1998</xref>) are determined by the redox conditions in both the water column and the sediment-water interface, which play significant roles not only in microbial growth and activity (<xref ref-type="bibr" rid="B5">Belanger et al., 2020</xref>), but also in microbial oxidation of OC (<xref ref-type="bibr" rid="B4">Anderson et al., 2019</xref>).</p>
<p>The Kyushu-Palau Ridge, located in the Northwest Pacific Ocean, is influenced by Asian dust input and complex ocean circulation systems (<xref ref-type="fig" rid="F1">Figure 1A</xref>). The special regional setting has important effects on the evolution of the sources and sinks of allochthonous and autochthonous materials and their interaction with global sea-level change (<xref ref-type="bibr" rid="B25">Ikehara et al., 2009</xref>; <xref ref-type="bibr" rid="B57">Shao et al., 2016</xref>; <xref ref-type="bibr" rid="B36">Li et al., 2017</xref>). In this work, the study area is relatively far from the Asian continental shelf (<xref ref-type="fig" rid="F1">Figure 1A</xref>). Therefore, the effect of sea-level variation in river input to the study area from the Asian continent is much less than that in marginal seas (<xref ref-type="bibr" rid="B42">Milliman and Farnsworth, 2011</xref>). Moreover, adjacent to the Asian dust source area, dust input is one of the primary transport routes for terrestrial organic matter, nutrients, and fine-grain particles to this region (<xref ref-type="bibr" rid="B40">Maher et al., 2010</xref>). Various proxies, including grain size end-members (<xref ref-type="bibr" rid="B79">Zhou et al., 2016</xref>), geochemical element ratios, and mineral ratios (<xref ref-type="bibr" rid="B56">Seo et al., 2014</xref>) have been used to quantify dust fluxes into the Pacific Ocean, showing several times greater dust input during glacial periods than during interglacial periods (<xref ref-type="bibr" rid="B23">Hovan et al., 1989</xref>; <xref ref-type="bibr" rid="B69">Wan and Xu, 2017</xref>). Furthermore, along the western edge of the North Pacific, the Kuroshio Current (KC) supplies a large quantity of heat and material to the study area and thus plays an important role in controlling the marine environment, ecosystem, and sedimentation (<xref ref-type="bibr" rid="B17">Gallagher et al., 2015</xref>). Both modeling and sedimentary proxies were used in previous studies to reconstruct KC intensity on orbital scales in the Northwest Pacific. They indicated the decreased KC during glacials and the strengthened KC during interglacials (<xref ref-type="bibr" rid="B28">Kao et al., 2006</xref>; <xref ref-type="bibr" rid="B35">Li et al., 2018</xref>; <xref ref-type="bibr" rid="B67">Vats et al., 2020</xref>). In addition, the evolution of ocean circulation, comprising several currents occurring at different water depths, including the KC, North Pacific Intermediate Water (NPIW) (<xref ref-type="bibr" rid="B25">Rippert et al., 2017</xref>), and southern-sourced deep water as Antarctic Bottom Water (AABW) (<xref ref-type="bibr" rid="B30">Kender et al., 2018</xref>) (<xref ref-type="fig" rid="F1">Figure 1B</xref>), has a significant effect on oceanic stratification (<xref ref-type="bibr" rid="B27">Jaccard et al., 2005</xref>), upwelling (<xref ref-type="bibr" rid="B72">Worne et al., 2019</xref>) and redox conditions (<xref ref-type="bibr" rid="B35">Li et al., 2018</xref>). Therefore, the intense ocean-land-atmosphere interaction in the Northwest Pacific makes it as an ideal region for studying OC burial and its environmental relationships with paleo-oceanographic conditions over glacial-interglacial cycles. However, long-term records of sedimentary OC burial based on deep-sea sediment cores in the Northwest Pacific have been lack of extensive reconstruction before (<xref ref-type="bibr" rid="B2">Amo and Minagawa, 2003</xref>; <xref ref-type="bibr" rid="B25">Ikehara et al., 2009</xref>), especially for the comprehensive understanding of the dominant factors that control OC burial over glacial-interglacial cycles.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>The core location and regional oceanographic settings in the study area. <bold>(A)</bold> Red pentagram star: the sediment core KH-16-6 St10-PC in this paper; yellow dots: typical reference cores (MD06-3050 from <xref ref-type="bibr" rid="B60">Sun et al., 2011</xref>; MD01-2404 from <xref ref-type="bibr" rid="B81">Zou et al., 2021</xref>; ECS12A from <xref ref-type="bibr" rid="B57">Shao et al., 2016</xref>; U1438A from <xref ref-type="bibr" rid="B79">Zhou et al., 2016</xref>; U1429 from <xref ref-type="bibr" rid="B67">Vats et al., 2020</xref>; MD01-2422 and PC08 from <xref ref-type="bibr" rid="B25">Ikehara et al., 2009</xref>; S-2 from <xref ref-type="bibr" rid="B2">Amo and Minagawa, 2003</xref>; V21-146 from <xref ref-type="bibr" rid="B23">Hovan et al., 1989</xref>); red and green arrows: westerly and East Asian winter monsoon (EAWM) respectively (<xref ref-type="bibr" rid="B71">Wan et al., 2012</xref>); orange arrow: Kuroshio Current (KC) (<xref ref-type="bibr" rid="B17">Gallagher et al., 2015</xref>); gray arrow: North Pacific Intermediate Water (NPIW) (<xref ref-type="bibr" rid="B52">Rippert et al., 2017</xref>); yellow arrow: Antarctic Bottom Water (AABW) (<xref ref-type="bibr" rid="B30">Kender et al., 2018</xref>). <bold>(B)</bold> Meridional section of present-day oxygen concentrations from the North Pacific to the Southern Ocean (<ext-link ext-link-type="uri" xlink:href="http://www.nodc.noaa.gov/OC5/WOA09/woa09data.html">http://www.nodc.noaa.gov/OC5/WOA09/woa09data.html</ext-link>) and major modern mid-depth to deep-water currents (white arrows) (<xref ref-type="bibr" rid="B52">Rippert et al., 2017</xref>): AABW: Antarctic Bottom Water, CDW: Circumpolar Deep Water; red line in right map denotes the transect.</p>
</caption>
<graphic xlink:href="feart-10-886120-g001.tif"/>
</fig>
<p>In the present study, we combined data for sediment grain size, bulk OC content and its stable carbon isotope, biogenic elements, and trace metals in core KH-16-6 St10-PC (hereinafter, St10-PC) from the northern Kyushu-Palau Ridge, which has been well-dated using AMS<sup>14</sup>C and &#x3b4;<sup>18</sup>O of planktonic foraminifera, in order to determine the long-term record of the glacial-interglacial cyclic OC burial and its constraints over the last 380&#xa0;kyr. The main objectives were to identify the relationships between long-term OC accumulation and marine productivity evolution as well as the impact of hydrological conditions with redox conditions. Finally, by comparing the orbital-scale OC burial with previously published records, this paper summarized the mechanism of OC burial between glacial and interglacial climate regimes in the Northwest Pacific in a schematic.</p>
</sec>
<sec id="s2">
<title>2 Materials and Methods</title>
<sec id="s2-1">
<title>2.1 Sampling</title>
<p>The sediment core St10-PC (29&#xb0;28&#x2032;N, 133&#xb0;37&#x2032;E) (length &#x3d; 647&#xa0;cm) was collected at a water depth of 2670&#xa0;m during the R/V <italic>Hakuho-maru</italic> cruise of KH16-6 in the northern Kyushu-Palau Ridge of the Northwest Pacific (<xref ref-type="fig" rid="F1">Figure 1A</xref>). The station is located at approximately 600&#xa0;km east of Kyushu Island and experiences frequent volcanic eruptions. The sediments of core St10-PC mainly consist of homogeneous brownish-gray silty clay with several volcanic ash layers. A total of 284 samples were delineated at approximately 2&#xa0;cm intervals for the analyses and stored at &#x2212;20&#xb0;C until analysis.</p>
</sec>
<sec id="s2-2">
<title>2.2 Analytical Methods</title>
<sec id="s2-2-1">
<title>2.2.1 AMS<sup>14</sup>C Dating and &#x3b4;<sup>18</sup>O Analysis</title>
<p>Accelerator mass spectrometry (AMS)<sup>14</sup>C dating was performed by Beta Analytic Laboratory, United States, on the mixed planktonic foraminifera species <italic>Globorotalia inflata</italic> and <italic>Globigernoides ruber</italic>, using the larger than 150&#xa0;&#x3bc;m size fraction of four samples in the upper core. Calibrated calendar ages were converted using CALIB 7.20, using the MARINE13 database (<xref ref-type="bibr" rid="B51">Reimer et al., 2013</xref>) and a local reservoir age of &#x394;R &#x3d; 39 &#xb1; 18&#xa0;years (<xref ref-type="bibr" rid="B74">Yoneda et al., 2007</xref>). The planktonic foraminifera <italic>G. inflata</italic> (approximately 10 shells, 400&#x2013;500&#xa0;&#x3bc;m size fraction) was measured for stable oxygen isotopes (&#x3b4;<sup>18</sup>O) using a Finnigan-MAT252 mass spectrometer at Tongji University, Shanghai, China. Precision was validated against a Chinese national carbonate standard (GBW04405) and NBS-19. A total of 280 &#x3b4;<sup>18</sup>O data were reported based on the conventional PDB (Pee Dee Belemnite) standard, with a standard deviation of &#xb1;0.07&#x2030; (<xref ref-type="bibr" rid="B11">Cheng et al., 2005</xref>).</p>
</sec>
<sec id="s2-2-2">
<title>2.2.2 Analysis of Major and Trace Element Concentrations</title>
<p>97 Samples were analyzed for major and trace element concentrations at the Key Laboratory of Marine Geology and Metallogeny, First Institute of Oceanography (FIO), Ministry of Natural Resources (MNR), Qingdao, China. The samples were digested with HNO<sub>3</sub> and HF, and then diluted to 50&#xa0;ml with Milli-Q water. Finally, major element concentrations were measured using inductively coupled plasma-optical emission spectrometry (ICP-OES, iCAP 6300, Thermo Fisher Scientific Inc., Waltham, United States), and trace element concentrations were measured using inductively coupled plasma mass spectrometry (ICP-MS, Thermo X Series 2, Thermo Fisher Scientific Inc.). Replicate measurements were conducted on 10% of the samples (randomly selected), and the relative standard deviations were &#x3c;1% for major elements and &#x3c;5% for trace elements (<italic>n</italic> &#x3d; 20) (<xref ref-type="bibr" rid="B82">Zou et al., 2012</xref>).</p>
</sec>
<sec id="s2-2-3">
<title>2.2.3 Analysis of Sediment Grain Size, Total Organic Carbon, and &#x3b4;<sup>13</sup>C<sub>org</sub>
</title>
<p>The analysis of sediment grain size and total organic carbon (TOC) content were carried out at the Key Laboratory of Marine Geology and Metallogeny, FIO, MNR, Qingdao, China. The detailed analytical methods of sediment grain size and bulk OM proxies can be found in <xref ref-type="bibr" rid="B24">Hu et al. (2012)</xref>. Grain size samples (<italic>n</italic> &#x3d; 284) were processed using a laser particle size analyzer (Mastersizer 3000, Malven Instruments Ltd., United Kingdom) after removing organic matter and CaCO<sub>3</sub> through H<sub>2</sub>O<sub>2</sub> and diluted HCl, respectively. The carbonate-free samples (<italic>n</italic> &#x3d; 278) for TOC analysis and the bulk sediment samples for total carbon (TC) were analyzed in duplicate in a Vario EL-III Elemental Analyzer (elementar Analysensysteme GmbH, Langenselbold, Germany). Stable carbon isotope composition analysis of OC (&#x3b4;<sup>13</sup>C<sub>org</sub>) was carried out using a Thermo Fisher 253 Plus mass spectrometer (Thermo Fisher Scientific Inc.), at the Pilot National Laboratory for Marine Science and Technology in Qingdao, China. The isotopic values of OC (<italic>n</italic> &#x3d; 278) are reported in standard &#x3b4; notation as per mil deviations relative to the PDB carbon standard, with a standard deviation of &#xb1;0.1&#x2030;.</p>
</sec>
</sec>
<sec id="s2-3">
<title>2.3 Statistical Analysis</title>
<p>The mass accumulation rate (MAR), an index to refer to the sediment fluxes, was calculated by the linear sedimentation rates (LSR) and the dry bulk density (DBD) of the sediment using the following <xref ref-type="disp-formula" rid="e1">Eqs 1</xref>, <xref ref-type="disp-formula" rid="e2">2</xref>, then the burial fluxes of TOC were determined using <xref ref-type="disp-formula" rid="e3">Eq. 3</xref>:<disp-formula id="e1">
<mml:math id="m1">
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<mml:mi>L</mml:mi>
<mml:mi>S</mml:mi>
<mml:mi>R</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mrow>
<mml:mrow>
<mml:mi>c</mml:mi>
<mml:mi>m</mml:mi>
</mml:mrow>
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<label>(1)</label>
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<mml:mo>&#x2217;</mml:mo>
<mml:mn>1000</mml:mn>
</mml:mrow>
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<label>(2)</label>
</disp-formula>
<disp-formula id="e3">
<mml:math id="m3">
<mml:mrow>
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<label>(3)</label>
</disp-formula>where &#x394;h and &#x394;t are the depth and age differences, respectively, between the two age control points.</p>
<p>The biogenic calcium carbonate (CaCO<sub>3</sub>) content as determined by inorganic carbon was calculated using <xref ref-type="disp-formula" rid="e4">Eq. 4</xref>:<disp-formula id="e4">
<mml:math id="m4">
<mml:mrow>
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<mml:mn>8.33</mml:mn>
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<mml:mn>100</mml:mn>
<mml:mo>%</mml:mo>
</mml:mrow>
</mml:math>
<label>(4)</label>
</disp-formula>
</p>
<p>The biogenic barium (<inline-formula id="inf1">
<mml:math id="m5">
<mml:mrow>
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</mml:msub>
</mml:mrow>
</mml:math>
</inline-formula>) content as determined by the major element barium was calculated using <xref ref-type="disp-formula" rid="e5">Eq. 5</xref>:<disp-formula id="e5">
<mml:math id="m6">
<mml:mrow>
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<mml:mo>&#x2212;</mml:mo>
<mml:mi>A</mml:mi>
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</mml:mrow>
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<mml:mo>&#x2217;</mml:mo>
<mml:msub>
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</mml:mrow>
<mml:mo>/</mml:mo>
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</mml:mrow>
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</mml:mrow>
</mml:mrow>
<mml:mrow>
<mml:mi>t</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>r</mml:mi>
<mml:mi>r</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
</mml:math>
<label>(5)</label>
</disp-formula>where w <inline-formula id="inf2">
<mml:math id="m7">
<mml:mrow>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>B</mml:mi>
<mml:msub>
<mml:mi>a</mml:mi>
<mml:mrow>
<mml:mi>b</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>o</mml:mi>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</inline-formula> is the mass fraction of biogenic barium in the sediments (&#x3bc;g/g); Ba<sub>total</sub>, Al<sub>total</sub>, and (Ba/Al)<sub>terr</sub> are the total barium and aluminum contents in the sediments (&#x3bc;g/g) and terrestrial Ba/Al ratio (0.0041, <xref ref-type="bibr" rid="B57">Shao et al., 2016</xref>), respectively.</p>
<p>The end-member statistical analysis employed a MATLAB modeling algorithm (<xref ref-type="bibr" rid="B15">Dietze et al., 2012</xref>) to analyze individual grain-size populations (end-member loadings, volume %) and their contributions to bulk grain-size composition (scores, %) (<xref ref-type="bibr" rid="B80">Zhou et al., 2015</xref>).</p>
</sec>
</sec>
<sec id="s3">
<title>3 Results</title>
<sec id="s3-1">
<title>3.1 Age Model and Stratigraphic Chronology</title>
<p>In the Northwest Pacific, definite age models of long-term sedimentary cores generally use a comparison between the &#x3b4;<sup>18</sup>O of planktonic foraminifera and the LR04 &#x3b4;<sup>18</sup>O stack of benthic foraminifera in a specific sediment core (<xref ref-type="bibr" rid="B25">Ikehara et al., 2009</xref>; <xref ref-type="bibr" rid="B60">Sun et al., 2011</xref>; <xref ref-type="bibr" rid="B65">Ujii&#xe9; et al., 2016</xref>). An age model for core St10-PC was reconstructed based on 11 age control points (<xref ref-type="table" rid="T1">Table 1</xref>) provided by the AMS<sup>14</sup>C dating results and the <italic>G. inflata-</italic>&#x3b4;<sup>18</sup>O records in this core (<xref ref-type="fig" rid="F2">Figure 2C</xref>, data are available in the supplementary dataset), and correlating this <italic>G. inflata-</italic>&#x3b4;<sup>18</sup>O records to the standard deep-sea oxygen isotopic LR04-&#x3b4;<sup>18</sup>O stack (<xref ref-type="fig" rid="F2">Figure 2E</xref>; <xref ref-type="bibr" rid="B37">Lisiecki and Raymo, 2005</xref>) and <italic>G. ruber-</italic>&#x3b4;<sup>18</sup>O records in core MD06-3050 from near Luzon Island in the Philippine Sea (<xref ref-type="fig" rid="F2">Figure 2D</xref>, <xref ref-type="bibr" rid="B60">Sun et al., 2011</xref>). This age model indicates that core St10-PC covers past &#x223c;380&#xa0;kyr (<xref ref-type="fig" rid="F2">Figure 2</xref>), spanning marine isotope stages (MIS) 1&#x2013;10, which cover nearly five complete glacial-interglacial cycles (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Radiocarbon ages with calibrated ages of core St10-PC and control points to construct the age model.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Depth (cm)</th>
<th align="center">AMS<sup>14</sup>C age (yrs BP)</th>
<th align="center">Calibrated age (yrs BP) (1&#x3c3;)</th>
<th align="center">MIS periods</th>
<th align="center">Desciption</th>
<th align="center">LSR (cm/kyr)</th>
<th align="center">MAR (mg/cm<sup>2</sup>/kyr)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">1.5</td>
<td align="char" char="plusmn">3290 &#xb1; 30</td>
<td align="char" char="plusmn">3075 &#xb1; 61</td>
<td align="left">MIS1</td>
<td align="left">AMS<sup>14</sup>C age</td>
<td align="char" char=".">0.5</td>
<td align="char" char=".">353.6</td>
</tr>
<tr>
<td align="left">32.5</td>
<td align="char" char="plusmn">12500 &#xb1; 40</td>
<td align="char" char="plusmn">13941 &#xb1; 74</td>
<td align="left">MIS1/2</td>
<td align="left">AMS<sup>14</sup>C age</td>
<td align="char" char=".">2.9</td>
<td align="char" char=".">2410.8</td>
</tr>
<tr>
<td align="left">44.5</td>
<td align="char" char="plusmn">14480 &#xb1; 40</td>
<td align="char" char="plusmn">17059 &#xb1; 97</td>
<td align="left">MIS2</td>
<td align="left">AMS<sup>14</sup>C age</td>
<td align="char" char=".">3.6</td>
<td align="char" char=".">3121.8</td>
</tr>
<tr>
<td align="left">62.5</td>
<td align="char" char="plusmn">23200 &#xb1; 80</td>
<td align="char" char="plusmn">27152 &#xb1; 128</td>
<td align="left">MIS2/3</td>
<td align="left">AMS<sup>14</sup>C age</td>
<td align="char" char=".">1.8</td>
<td align="char" char=".">1592.1</td>
</tr>
<tr>
<td align="left">105.0</td>
<td align="center">/</td>
<td align="center">62,000</td>
<td align="left">MIS3/4</td>
<td align="left">&#x3b4;<sup>18</sup>O record</td>
<td align="char" char=".">1.3</td>
<td align="char" char=".">1083.6</td>
</tr>
<tr>
<td align="left">130.0</td>
<td align="center">/</td>
<td align="center">76,000</td>
<td align="left">MIS4/5</td>
<td align="left">&#x3b4;<sup>18</sup>O record</td>
<td align="char" char=".">1.5</td>
<td align="char" char=".">1264.7</td>
</tr>
<tr>
<td align="left">231.0</td>
<td align="center">/</td>
<td align="center">135,000</td>
<td align="left">MIS5/6</td>
<td align="left">&#x3b4;<sup>18</sup>O record</td>
<td align="char" char=".">1.8</td>
<td align="char" char=".">1416.7</td>
</tr>
<tr>
<td align="left">321.0</td>
<td align="center">/</td>
<td align="center">185,000</td>
<td align="left">MIS6/7</td>
<td align="left">&#x3b4;<sup>18</sup>O record</td>
<td align="char" char=".">1.9</td>
<td align="char" char=".">1600.8</td>
</tr>
<tr>
<td align="left">413.0</td>
<td align="center">/</td>
<td align="center">248,000</td>
<td align="left">MIS7/8</td>
<td align="left">&#x3b4;<sup>18</sup>O record</td>
<td align="char" char=".">1.4</td>
<td align="char" char=".">1109.7</td>
</tr>
<tr>
<td align="left">490.0</td>
<td align="center">/</td>
<td align="center">290,000</td>
<td align="left">MIS8/9</td>
<td align="left">&#x3b4;<sup>18</sup>O record</td>
<td align="char" char=".">2.0</td>
<td align="char" char=".">1559.4</td>
</tr>
<tr>
<td align="left">568.0</td>
<td align="center">/</td>
<td align="center">338,000</td>
<td align="left">MIS9/10</td>
<td align="left">&#x3b4;<sup>18</sup>O record</td>
<td align="char" char=".">1.7</td>
<td align="char" char=".">1336.0</td>
</tr>
<tr>
<td align="left">647.0</td>
<td align="center">/</td>
<td align="center">380,000</td>
<td align="left">End</td>
<td align="left">&#x3b4;<sup>18</sup>O record</td>
<td align="char" char=".">1.9</td>
<td align="char" char=".">1403.1</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>The original detailed data supporting this age model are derived from previous works (<xref ref-type="bibr" rid="B76">Zhang et al., 2020</xref>) and are shown in supplementary dataset.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Stratigraphic age model of core St10-PC. <bold>(A)</bold> sedimentary rate of core St10-PC, <bold>(B)</bold> the mass accumulation rate of core St10-PC, <bold>(C)</bold> <italic>G. inflata</italic>-&#x3b4;<sup>18</sup>O of core St10-PC with a 5-point running average (blue line) (<xref ref-type="bibr" rid="B76">Zhang et al., 2020</xref>), <bold>(D)</bold> <italic>G. ruber</italic>-&#x3b4;<sup>18</sup>O of core MD06-3050 (<xref ref-type="bibr" rid="B60">Sun et al., 2011</xref>), <bold>(E)</bold> LR04 benthic-&#x3b4;<sup>18</sup>O stack (<xref ref-type="bibr" rid="B37">Lisiecki and Raymo, 2005</xref>), <bold>(F)</bold> the global sea level variations (<xref ref-type="bibr" rid="B68">Waelbroeck et al., 2002</xref>). Orange and blue trangles: age control points of AMS<sup>14</sup>C dating and <italic>G. inflata</italic>-&#x3b4;<sup>18</sup>O records of core St10-PC, respectively; blue shadow: glacial periods.</p>
</caption>
<graphic xlink:href="feart-10-886120-g002.tif"/>
</fig>
<p>According to this chronology, the average LSR was lower than those in other sediment cores from marginal seas (<xref ref-type="bibr" rid="B57">Shao et al., 2016</xref>), varying over the range between 0.5 (in Holocene) and 3.6 (in MIS2) cm/kyr, with an average value of 1.8&#xa0;cm/kyr (<xref ref-type="table" rid="T1">Table 1</xref>; <xref ref-type="fig" rid="F2">Figure 2A</xref>). The MAR varied from 353.6 to 3121.8&#xa0;mg/cm<sup>2</sup>/kyr, with average value of 1484.5&#xa0;mg/cm<sup>2</sup>/kyr (<xref ref-type="table" rid="T1">Table 1</xref>; <xref ref-type="fig" rid="F2">Figure 2B</xref>). Glacial-interglacial differences in LSR and MAR were evident with higher average values in glacial periods than that in interglacial periods (<xref ref-type="fig" rid="F2">Figures 2A,B</xref>), which is thought to primarily reflect the increased terrestrial input (dust input and fluvial discharge) when sea level declined (<xref ref-type="fig" rid="F2">Figure 2F</xref>, <xref ref-type="bibr" rid="B68">Waelbroeck et al., 2002</xref>).</p>
</sec>
<sec id="s3-2">
<title>3.2 Temporal Variations of Total Organic Carbon Fluxes, &#x3b4;<sup>13</sup>C<sub>org</sub> Values and Biogenic Element Contents</title>
<p>To estimate the TOC-fluxes on orbital scale, we combined the MAR data in this study with the previously reported TOC abundances (<xref ref-type="bibr" rid="B76">Zhang et al., 2020</xref>). The TOC-fluxes varied from 0.8 to 11.7&#xa0;mg/cm<sup>2</sup>/kyr (<xref ref-type="fig" rid="F3">Figure 3F</xref>), with a mean value of 3.2&#xa0;mg/cm<sup>2</sup>/kyr. Furthermore, the peaks in TOC contents correlated well with their fluxes (<xref ref-type="fig" rid="F3">Figures 3F,G</xref>), showing significant cyclic variations that were almost two times higher during glacial periods (particularly in MIS2, <italic>p</italic> &#x3c; 0.01, <xref ref-type="sec" rid="s11">Supplementary Table S1</xref>), which is consistent with hundreds of sedimentary OC burial records around the world (<xref ref-type="bibr" rid="B9">Cartapanis et al., 2016</xref>). The TN contents and fluxes (<xref ref-type="sec" rid="s11">Supplementary Figures S1B,C</xref>) varied in the similar tendencies as TOC. However, the TOC vs. TN scatter plot (<xref ref-type="sec" rid="s11">Supplementary Figure S2</xref>) shows an intercept of 0.026% inorganic nitrogen, which accounts for &#x223c;58% of the mean total nitrogen and results in low TOC/TN values downcore, with a range of 2.34&#x2013;8.47 (<xref ref-type="sec" rid="s11">Supplementary Figure S1A</xref>). &#x3b4;<sup>13</sup>C<sub>org</sub> in core St10-PC varied between -25.24&#x2030; and &#x2212;21.04&#x2030; (mean: 22.59&#x2030;) (<xref ref-type="fig" rid="F3">Figure 3E</xref>), trending to more positive during the glacials (<italic>p</italic> &#x3c; 0.01, <xref ref-type="sec" rid="s11">Supplementary Table S1</xref>). The overall more positive &#x3b4;<sup>13</sup>C<sub>org</sub> values may indicate sedimentary OC mainly derived from marine-sourced contributions (<xref ref-type="bibr" rid="B25">Ikehara et al., 2009</xref>; <xref ref-type="bibr" rid="B35">Li et al., 2018</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Variation trends of organic carbon flux and its source contribution in core St10-PC. <bold>(A)</bold> Biogenic elements of Ca/Ti ratio, <bold>(B)</bold> biogenic calcium (CaCO<sub>3</sub>) contents, <bold>(C)</bold> biogenic elements of Ba/Al ratio, <bold>(D)</bold> biogenic barium (Ba<sub>bio</sub>) contents, <bold>(E)</bold> &#x3b4;<sup>13</sup>C<sub>org</sub>, <bold>(F)</bold> TOC fluxes with a 5-point running average (red line), <bold>(G)</bold> TOC contents with a 5-point running average (red line), <bold>(H)</bold> atmospheric CO<sub>2</sub> concentrations (<xref ref-type="bibr" rid="B39">L&#xfc;thi et al., 2008</xref>); blue shadow, glacial periods. Original data of OC contents and the &#x3b4;<sup>13</sup>C<sub>org</sub> were initially from <xref ref-type="bibr" rid="B76">Zhang et al. (2020)</xref>.</p>
</caption>
<graphic xlink:href="feart-10-886120-g003.tif"/>
</fig>
<p>The abundances of CaCO<sub>3</sub> and <inline-formula id="inf3">
<mml:math id="m8">
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</inline-formula> in marine sediments have been widely used as paleo-productivity proxies (<xref ref-type="bibr" rid="B1">Agnihotri et al., 2003</xref>; <xref ref-type="bibr" rid="B57">Shao et al., 2016</xref>). In this study, CaCO<sub>3</sub> and <inline-formula id="inf4">
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</inline-formula> contents in core St10-PC ranged from 8.90 to 57.46% and 176.58&#x2013;512.09&#xa0;&#x3bc;g/g respectively, with average of 35.56% and 345.68&#xa0;&#x3bc;g/g (<xref ref-type="fig" rid="F3">Figures 3B,D</xref>). Downcore CaCO<sub>3</sub> (<italic>p</italic> &#x3c; 0.05, <xref ref-type="sec" rid="s11">Supplementary Table S1</xref>) and <inline-formula id="inf5">
<mml:math id="m10">
<mml:mrow>
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</inline-formula> (<italic>p</italic> &#x3c; 0.01, <xref ref-type="sec" rid="s11">Supplementary Table S1</xref>) were significantly higher during interglacials than glacials, which is consistent with the Ca/Ti and Ba/Al ratios (<xref ref-type="fig" rid="F3">Figures 3A,C</xref>), but reversed compared to the OC fluxes (<xref ref-type="fig" rid="F3">Figure 3F</xref>).</p>
</sec>
<sec id="s3-3">
<title>3.3 Temporal Variations of Redox Sensitive Elements</title>
<p>In this study, the concentrations of trace elements sensitive to the redox conditions of the hydrological regime, such as uranium (U), vanadium (V), molybdenum (Mo), copper (Cu), thorium (Th), and gallium (Ga) (<xref ref-type="bibr" rid="B1">Agnihotri et al., 2003</xref>; <xref ref-type="bibr" rid="B64">Tribovillard et al., 2006</xref>), had significant cyclic characteristics during glacial-interglacial cycles. To normalize these trace element concentrations, we used the standard approach of dividing trace element concentrations by aluminum (Al) concentrations as an index for the relative enrichment (<xref ref-type="bibr" rid="B6">Bennett and Canfield, 2020</xref>). Accordingly, these elements were divided into three categories.</p>
<p>First, the variation range of Mo showed relatively more fluctuation, with value ranges of 0.08&#x2013;0.61&#xa0;&#x3bc;g/g. Al (<xref ref-type="fig" rid="F4">Figure 4F</xref>). Its distinctly higher values during the Holocene were several times higher than the other peak values in the glacial stages MIS 10, 8, and 6. Second, U varied from 0.19 to 0.67&#xa0;&#x3bc;g/g. Al (<xref ref-type="fig" rid="F4">Figure 4E</xref>), showing relatively higher values during the glacial stages MIS10, 8, and 6, and a stable tendency since the last 130&#xa0;kyr. The last category included Cu, Th, Ga, and V, whose ranges were relatively smaller but with obvious cyclic features over glacial-interglacial cycles (<xref ref-type="fig" rid="F4">Figures 4A&#x2013;D</xref>). Most RSEs exhibit a significant enrichment during glacial periods (<italic>p</italic> &#x3c; 0.01, <xref ref-type="sec" rid="s11">Supplementary Table S1</xref>), but Mo and Cu show little enrichment (<italic>p</italic> &#x3e; 0.05, <xref ref-type="sec" rid="s11">Supplementary Table S1</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Comparison of RSEs enrichment with TOC in core St10-PC. <bold>(A)</bold> Thorium (Th/Al), <bold>(B)</bold> gallium (Ga/Al), <bold>(C)</bold> vanadium (V/Al), <bold>(D)</bold> copper (Cu/Al), <bold>(E)</bold> uranium (U/Al), <bold>(F)</bold> molybdenum (Mo/Al), <bold>(G)</bold> TOC contents; blue shadow: glacial periods.</p>
</caption>
<graphic xlink:href="feart-10-886120-g004.tif"/>
</fig>
</sec>
<sec id="s3-4">
<title>3.4 Grain Size Distribution and its End-Member Analysis</title>
<p>Detailed sediment grain size information and original data were derived from <xref ref-type="bibr" rid="B76">Zhang et al. (2020)</xref>. The detrital distribution of the mean grain size of the sediments varied between 4.49 and 213.16&#xa0;&#xb5;m, with a mean value of 17.86&#xa0;&#xb5;m to the maximum values of volcanic ash layers (<xref ref-type="sec" rid="s11">Supplementary Figure S3A</xref>). Overall, the cyclic variation in mean grain size was finer during glacial periods than during interglacial periods (<italic>p</italic> &#x3c; 0.01, <xref ref-type="sec" rid="s11">Supplementary Table S1</xref>).</p>
<p>The end-member analysis results of grain size showed three end members, with peak modes in the fine (EM1, 5.23&#xa0;&#xb5;m), fine to medium (EM2, 19.87&#xa0;&#xb5;m), and coarse (EM3, 93.51&#xa0;&#xb5;m) particles (<xref ref-type="sec" rid="s11">Supplementary Figures S3B&#x2013;D</xref>). The downcore tendencies of these end-members show different cyclic variations. EM1 variation was consistent with that of the clay content; both were higher during glacial periods and lower during interglacial periods.</p>
</sec>
</sec>
<sec id="s4">
<title>4 Discussion</title>
<sec id="s4-1">
<title>4.1 Variations and Influent Factors of Sedimentary Organic Carbon Input in Glacial-interglacial Cycles</title>
<sec id="s4-1-1">
<title>4.1.1 Temporal Variations of Organic Carbon Input</title>
<p>The OC accumulation flux in the study area was comparable to that in other open ocean (<xref ref-type="bibr" rid="B2">Amo and Minagawa, 2003</xref>), but much lower than that in the continental shelf and basin area (<xref ref-type="bibr" rid="B25">Ikehara et al., 2009</xref>; <xref ref-type="bibr" rid="B57">Shao et al., 2016</xref>) (<xref ref-type="table" rid="T2">Table.2</xref>). This may be related to the lack of large quantities of terrestrial OC directly delivered by large rivers and low marine productivity therein. The overall more positive &#x3b4;<sup>13</sup>C<sub>org</sub> values during glacial periods (<xref ref-type="fig" rid="F3">Figure 3E</xref>), indicate that glacial OC input may be mainly derived from marine-source contributions (<xref ref-type="bibr" rid="B25">Ikehara et al., 2009</xref>; <xref ref-type="bibr" rid="B35">Li et al., 2018</xref>). Moreover, the alteration of &#x3b4;<sup>13</sup>C<sub>org</sub> values was affected by diagenesis processes and more depleted with water depth because of the selective degradation of OC (<xref ref-type="bibr" rid="B44">Nakatsuka et al., 1997</xref>), which demonstrates the effect of this preservation mechanism on &#x3b4;<sup>13</sup>C<sub>org</sub> fluctuation. Therefore, more positive &#x3b4;<sup>13</sup>C<sub>org</sub> values during glacial periods also indicate more marine-sourced OC preservation here in this stage.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Comparison of OC fluxes in cores from the Northwest Pacific Ocean.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Area</th>
<th align="center">Core</th>
<th align="center">Depth (m)</th>
<th align="center">Mean TOC-fluxes (mg/cm<sup>2</sup>/kyr)</th>
<th align="center">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Kyushu Ridge</td>
<td align="left">St10-PC</td>
<td align="center">2670</td>
<td align="char" char=".">3.2</td>
<td align="left">This study</td>
</tr>
<tr>
<td align="left">Shatsky Ridge</td>
<td align="left">S-2</td>
<td align="center">3107</td>
<td align="char" char=".">3.3</td>
<td align="left">
<xref ref-type="bibr" rid="B2">Amo and Minagawa, (2003)</xref>
</td>
</tr>
<tr>
<td align="left">Shikoku Basin</td>
<td align="left">PC08</td>
<td align="center">4002</td>
<td align="char" char=".">48.4</td>
<td align="left">
<xref ref-type="bibr" rid="B25">Ikehara et al. (2009)</xref>
</td>
</tr>
<tr>
<td align="left">Eastern China Sea shelf</td>
<td align="left">ECS12A</td>
<td align="center">1201</td>
<td align="char" char=".">310</td>
<td align="left">
<xref ref-type="bibr" rid="B57">Shao et al. (2016)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>However, the distinct peaks of CaCO<sub>3</sub> and <inline-formula id="inf6">
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</inline-formula> contents (<xref ref-type="fig" rid="F3">Figures 3B,D</xref>) observed during interglacials correlated with minima in OC fluxes, indicating paleo-productivity decoupled from OC burial over the past 380&#xa0;kyr. Under the impact of the formation and enhancement of NPIW in the glacial stages, whose penetration depth hindered the supply of upward macronutrients from deeper water to the euphotic zone (<xref ref-type="bibr" rid="B32">Kohfeld and Chase, 2011</xref>; <xref ref-type="bibr" rid="B72">Worne et al., 2019</xref>), the observed lower paleo-productivity was similar to other glacial-interglacial cyclic records in the North Pacific (<xref ref-type="bibr" rid="B27">Jaccard et al., 2005</xref>; <xref ref-type="bibr" rid="B36">Li et al., 2017</xref>; <xref ref-type="bibr" rid="B13">Costa et al., 2018a</xref>). Therefore, in the Northwest Pacific, paleo-productivity during glacial periods with the driver of less macronutrient supply from deeper waters (<xref ref-type="bibr" rid="B36">Li et al., 2017</xref>) was contrary to that in high nitrate and low chlorophyll (HNLC) areas such as the subantarctic zone, where Fe derived from dust input was the main driver (<xref ref-type="bibr" rid="B41">Martinez-Garcia et al., 2014</xref>; <xref ref-type="bibr" rid="B63">Th&#xf6;le et al., 2019</xref>).</p>
</sec>
<sec id="s4-1-2">
<title>4.1.2 Effects of Dust and Kuroshio Current Variation on Organic Carbon Input</title>
<p>The end-member of sediment grain size was considered as a substitute index for aeolian dust input (<xref ref-type="bibr" rid="B59">Sun et al., 2002</xref>). Notably, compared to the dust end-member analysis of core U1438A (<xref ref-type="bibr" rid="B79">Zhou et al., 2016</xref>) and core MD06-3050 (<xref ref-type="bibr" rid="B75">Yu et al., 2012</xref>) in the Northwest Pacific, we determined that EM1, EM2, and EM3 of core St10-PC may mainly indicate dust input through the westerly and East Asian winter monsoon (EAWM), and the sediment from volcanic ash, respectively (<xref ref-type="sec" rid="s11">Supplementary Figure S3B&#x2013;D</xref>). Moreover, based on the differences in the sources and transfer modes between the westerly and EAWM (<xref ref-type="bibr" rid="B71">Wan et al., 2012</xref>; <xref ref-type="bibr" rid="B73">Xu et al., 2015</xref>), we assumed that westerly, which carried the dust from a vast area of Asian inland with a longer transport distance than the EAWM, had greater significance in the compositions of these core sediments. Thus, EM1 could be ascribed to the westerly end-member to indicate the overall input of the dust effect around this study area (<xref ref-type="fig" rid="F5">Figure 5H</xref>), showing enhanced input during glacial periods (<italic>p</italic> &#x3c; 0.01, <xref ref-type="sec" rid="s11">Supplementary Table S1</xref>) and cohering with other dust fluxes in the North Pacific (e.g., core V21-146, <xref ref-type="fig" rid="F5">Figure 5G</xref>, <xref ref-type="bibr" rid="B23">Hovan et al., 1989</xref>) and Chinese Loess MAR (<xref ref-type="fig" rid="F5">Figure 5F</xref>, <xref ref-type="bibr" rid="B61">Sun and An, 2005</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Comparison of records of OC burial in core St10-PC with Asian dust input, KC intensity, NPIW variation, and AABW oxidation. <bold>(A)</bold> Antarctic Bottom Water oxidation determined by authigenic uranium of core TN057 (<xref ref-type="bibr" rid="B26">Jaccard et al., 2016</xref>), <bold>(B)</bold> North Pacific Intermediate Water intensity determined by &#x394;&#x3b4;<sup>18</sup>O between core 849 and core 1343 (<xref ref-type="bibr" rid="B72">Worne et al., 2019</xref>), <bold>(C)</bold> Kuroshio Current intensity proxy of <italic>G. ruber</italic> contents of core U1429 (<xref ref-type="bibr" rid="B67">Vats et al., 2020</xref>), <bold>(D,E)</bold> Kuroshio Current intensity determined by sedimentary Hg and Sb of core MD01-2404 (<xref ref-type="bibr" rid="B81">Zou et al., 2021</xref>), <bold>(F)</bold> Chinese Loess fluxes (<xref ref-type="bibr" rid="B61">Sun an An, 2005</xref>), <bold>(G)</bold> dust-fluxes of core V21-146 (<xref ref-type="bibr" rid="B23">Hovan et al., 1989</xref>), <bold>(H)</bold> dust input variables of core St10-PC, <bold>(I)</bold> OC fluxes of core St10-PC; blue shadow: glacial periods.</p>
</caption>
<graphic xlink:href="feart-10-886120-g005.tif"/>
</fig>
<p>Based on the intensity of Asian dust input (indicated by EM1 as noted above, <xref ref-type="fig" rid="F5">Figure 5H</xref>) over the last 380&#xa0;kyr, we found that dust input was enhanced in the glacial stages when paleo-productivity decreased (<xref ref-type="fig" rid="F3">Figures 3B,D</xref>), which may indicate the limited positive effect of dust input on marine productivity here (<xref ref-type="bibr" rid="B36">Li et al., 2017</xref>; <xref ref-type="bibr" rid="B10">Chen et al., 2020</xref>). However, higher OC burial in the glacial periods was coherent with dust input (<xref ref-type="fig" rid="F5">Figures 5H,I</xref>), which could be attributed to the large area exposure of the East Asian continental shelf during glacial sea-level lowstand, which is more susceptible to erosion and weathering (<xref ref-type="bibr" rid="B70">Wan et al., 2017</xref>). Generally, it was easier to deliver more terrestrial materials into this area, resulting in more OC particle input and faster vertical transport to the deep sea during this stage (<xref ref-type="bibr" rid="B9">Cartapanis et al., 2016</xref>). This helps to explain the higher OC flux during glacial periods despite the lower marine productivity.</p>
<p>The Kuroshio Current (KC) is a strong western boundary current along the North Pacific and is regarded as an important bridge for transporting heat and material from low to middle and even high latitudes (<xref ref-type="bibr" rid="B66">Ujii&#xe9; et al., 2003</xref>). The modeling simulations indicated that KC intensity was reduced by about 43% as sea level declined during the last glacial maximum, compared to the present day (<xref ref-type="bibr" rid="B28">Kao et al., 2006</xref>). The proxies of planktonic foraminifera (<italic>G. ruber</italic>) contents (<xref ref-type="fig" rid="F5">Figure 5C</xref>) and surface temperature in core U1429 over the past 400&#xa0;kyr (<xref ref-type="bibr" rid="B67">Vats et al., 2020</xref>) and the proxy for the combination of Hg-Sb enrichment in core MD01-2404 over the past 92&#xa0;kyr (<xref ref-type="fig" rid="F5">Figures 5D,E</xref>, <xref ref-type="bibr" rid="B81">Zou et al., 2021</xref>), all reconstructed KC intensity evolution on the orbital scale indirectly, reflecting the significantly decreased KC (<italic>p</italic> &#x3c; 0.05, <xref ref-type="sec" rid="s11">Supplementary Table S1</xref>) when sea temperature decreased and sea level declined during the glacial periods. The &#x201c;water barrier&#x201d;, an important feature of KC (<xref ref-type="bibr" rid="B78">Zheng et al., 2016</xref>), was enhanced during interglacials and obstructed Asian continental sediment transport from the shelf into the deeper ocean (<xref ref-type="bibr" rid="B77">Zhao, 2017</xref>). Therefore, the higher OC flux observed in this study was a response to the decreased KC during the glacials, because of more OC transported from the Asian continent under the decreased &#x201c;water barrier&#x201d; effect, and better OC preservation under oxygen-poor conditions (detailed in section 4.2).</p>
</sec>
</sec>
<sec id="s4-2">
<title>4.2 Glacial-interglacial Organic Carbon Preservation and Implications for Hydrological Constraint</title>
<p>The decoupling between marine productivity and OC burial, as noted above, could indicate other important constraints on OC burial over glacial-interglacial cycles. It has been suggested that marine biological productivity may contribute less than half of the observed glacial-interglacial variations in OC burial, while the physical vertical processes with hydrological constraints may be more responsible for oceanic OC burial (<xref ref-type="bibr" rid="B33">Kohfeld et al., 2005</xref>). Hydrological redox conditions control not only microbial growth and activities (<xref ref-type="bibr" rid="B5">Belanger et al., 2020</xref>), but also microbial oxidation to OC (<xref ref-type="bibr" rid="B4">Anderson et al., 2019</xref>). The first-order impact of microbial oxidization of OC burial depends on the concentration and extent of dissolved oxygen with water depth (<xref ref-type="bibr" rid="B19">Hartnett et al., 1998</xref>; <xref ref-type="bibr" rid="B16">Galbraith and Skinner, 2020</xref>). Ocean circulation in the Northwest Pacific is complex (<xref ref-type="fig" rid="F1">Figure 1B</xref>), with several current systems with different properties at different water depths, including the KC in the upper ocean (<xref ref-type="bibr" rid="B17">Gallagher et al., 2015</xref>), the NPIW in the middle (<xref ref-type="bibr" rid="B52">Rippert et al., 2017</xref>) and the AABW in deeper water (<xref ref-type="bibr" rid="B30">Kender et al., 2018</xref>), which provide different constraints for the dissolved oxygen in the water column over the glacial-interglacial cycles. Therefore, the impact of paleo-redox conditions varying from the upper ocean to the sediment-water interface on OC burial was examined between glacial and interglacial stages.</p>
<p>KC intensity has been shown to have an important impact on OC burial efficiency in the middle Okinawa Trough through changing bottom water O<sub>2</sub> concentration (<xref ref-type="bibr" rid="B35">Li et al., 2018</xref>; <xref ref-type="bibr" rid="B81">Zou et al., 2021</xref>). As discussed above, the KC was enhanced during the warmer interglacial periods (<xref ref-type="fig" rid="F5">Figures 5C&#x2013;E</xref>, <xref ref-type="bibr" rid="B67">Vats et al., 2020</xref>; <xref ref-type="bibr" rid="B81">Zou et al., 2021</xref>), which provided higher dissolved oxygen in the upper ocean and had a negative effect on OC preservation (<xref ref-type="bibr" rid="B35">Li et al., 2018</xref>). On the other hand, the NPIW is mainly restricted to subtropical North Pacific regions between &#x223c;20&#xb0;N and 40&#xb0;N and mainly circulates within 300&#x2013;1000&#xa0;m of water depth, with the property of low dissolved oxygen (<xref ref-type="bibr" rid="B62">Talley, 1993</xref>). The Bering Sea, as the additional source of the Glacial NPIW (<xref ref-type="bibr" rid="B22">Horikawa et al., 2010</xref>), resulted in the enhancement of the NPIW formation during the glacial periods (<xref ref-type="fig" rid="F5">Figure 5B</xref>). The Glacial NPIW penetrated to deeper range with relatively low oxygen and thus reduced the oxidative decomposition of OC by microorganisms (<xref ref-type="bibr" rid="B72">Worne et al., 2019</xref>). Finally, in this area, the extent of dissolved oxygen concentrations in the deep North Pacific is mainly determined by the deeper waters from Southern Ocean (<xref ref-type="bibr" rid="B30">Kender et al., 2018</xref>), such as Antarctic bottom water (AABW), which is oxygen-rich (<xref ref-type="bibr" rid="B52">Rippert et al., 2017</xref>). Therefore, AABW may have affected OC burial and preservation by changing the redox conditions of the deep ocean. It has been shown that less dissolved oxygen-rich water, indicated by higher authigenic uranium values (<xref ref-type="fig" rid="F5">Figure 5A</xref>, <xref ref-type="bibr" rid="B26">Jaccard et al., 2016</xref>), moving northward in the glacial periods and controbuting to better OC preservation in this stage.</p>
<p>In bottom water, the efficiency of OC degradation at the sediment-water interface, with a loss rate of OC as high as 89.8%, is much higher than that of the transportation in the water column (<xref ref-type="bibr" rid="B47">Ordo&#xf1;ez et al., 2015</xref>). Therefore, the effect of redox conditions on OC burial at the sediment-water interface cannot be ignored. The variations in these redox sensitive elements (RSEs) have been used extensively as geochemical proxies to infer the accessibility of dissolved oxygen in the overlying water during the deposition (<xref ref-type="bibr" rid="B6">Bennett and Canfield, 2020</xref>). To contextualize the redox conditions through RSE enrichment, we compared the data of this study to a variety of modern depositional environments characterized by the enrichment of V, U, and Mo (<xref ref-type="table" rid="T3">Table 3</xref>, <xref ref-type="bibr" rid="B6">Bennett and Canfield, 2020</xref>). From these observational data at all depths in the global ocean, it can be seen that there was a relatively high variability of enrichment with depth in perennial OMZ (oxygen minimum zone) settings (<xref ref-type="bibr" rid="B55">Scholz et al., 2011</xref>), suggesting that water depth may strongly influence redox conditions. The RSE enrichments in core St10-PC characterize a notable increasing tendency with relatively reducing conditions during glacial periods, especially the third category of Th, Ga, V, and Cu, which are in line with the higher sedimentary OC burial during those times (<xref ref-type="fig" rid="F4">Figure 4</xref>). Most of these RSEs exist stably in seawater in the form of organometallic ligands (<xref ref-type="bibr" rid="B64">Tribovillard et al., 2006</xref>). In the process of sediment settling from the surface to the bottom water, organic matter is easily degraded by microorganisms, during which the complex of RSEs and organic matter is decomposed, and the elements are released back into the water (<xref ref-type="bibr" rid="B43">Morford and Emerson, 1999</xref>). Therefore, this noted enrichment of RSEs shows that the sediment-bottom water interface was in a relative reducing state during the glacial periods, with a relatively lower oxygen content in the overlying water, which was more conducive to the burial and preservation of organic matter.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Comparison of RSEs enrichment in core St10-PC with well-known redox conditions.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Location</th>
<th rowspan="2" align="center">Depth (m)</th>
<th rowspan="2" align="center">Redox conditions</th>
<th rowspan="2" align="center">BW O<sub>2</sub> (&#x3bc;M)</th>
<th colspan="4" align="center">Trace elements enrichment degree (&#x3bc;g/g.Al)</th>
<th rowspan="2" align="center">References</th>
</tr>
<tr>
<th align="center">V</th>
<th align="center">U</th>
<th align="center">Mo</th>
<th align="center">Re</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Kyushu Ridge</td>
<td align="center">2670</td>
<td align="left">Oxic</td>
<td align="center">/</td>
<td align="center">14.65</td>
<td align="center">0.28</td>
<td align="center">0.15</td>
<td align="center">/</td>
<td align="left">This study</td>
</tr>
<tr>
<td align="left">Black Sea</td>
<td align="center">380&#x2013;1176</td>
<td align="left">Euxinic Basin</td>
<td align="center">0</td>
<td align="center">29 &#xb1; 6.3</td>
<td align="center">3.3 &#xb1; 0.75</td>
<td align="center">17 &#xb1; 4.5</td>
<td align="center">5.0 &#xb1; 0.85</td>
<td align="left">
<xref ref-type="bibr" rid="B38">L&#xfc;schen, (2004)</xref>
</td>
</tr>
<tr>
<td align="left">Namibian Margin</td>
<td align="center">83</td>
<td align="left">Within Perennial OMZ</td>
<td align="center">0</td>
<td align="char" char="plusmn">140 &#xb1; 73</td>
<td align="char" char="plusmn">33 &#xb1; 20</td>
<td align="char" char="plusmn">41 &#xb1; 25</td>
<td align="char" char="plusmn">16 &#xb1; 5.7</td>
<td align="left">
<xref ref-type="bibr" rid="B7">Borchers et al. (2005)</xref>
</td>
</tr>
<tr>
<td align="left">Peruvian Margin</td>
<td align="center">697&#x2013;2025</td>
<td align="left">Beneath Perennial OMZ</td>
<td align="center">12&#x2013;93</td>
<td align="char" char="plusmn">64 &#xb1; 31</td>
<td align="char" char="plusmn">5.9 &#xb1; 2.3</td>
<td align="char" char="plusmn">10 &#xb1; 3.6</td>
<td align="center">/</td>
<td align="left">
<xref ref-type="bibr" rid="B55">Scholz et al. (2011)</xref>
</td>
</tr>
<tr>
<td align="left">Gulf of California</td>
<td align="center">415&#x2013;800</td>
<td align="left">Within Seasonal OMZ</td>
<td align="center">/</td>
<td align="char" char="plusmn">22 &#xb1; 2.5</td>
<td align="center">/</td>
<td align="char" char="plusmn">2.6 &#xb1; 0.85</td>
<td align="center">/</td>
<td align="left">
<xref ref-type="bibr" rid="B8">Brumsack, (1989)</xref>
</td>
</tr>
<tr>
<td align="left">Washington Margin</td>
<td align="center">110&#x2013;1994</td>
<td align="left">Oxic</td>
<td align="center">25&#x2013;100</td>
<td align="char" char="plusmn">17 &#xb1; 0.9</td>
<td align="char" char="plusmn">0.4 &#xb1; 0.1</td>
<td align="char" char="plusmn">0.2 &#xb1; 0.03</td>
<td align="char" char="plusmn">1.1 &#xb1; 0.6</td>
<td align="left">
<xref ref-type="bibr" rid="B43">Morford and Emerson, (1999)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s4-3">
<title>4.3 Glacial-interglacial Regime in Organic Carbon Burial in the Northwest Pacific</title>
<p>To better understand the different patterns of OC burial with different drivers between glacial and interglacial periods, we constructed a conceptual schematic of OC burial and preservation in the mid-latitude Northwest Pacific (<xref ref-type="fig" rid="F6">Figure 6</xref>). During glacial periods, despite the increase in dust input and terrestrial matter, the strengthening barrier of glacial NPIW inhibited vertical mixing, slowing transport of nutrient-rich deeper water to the surface (<xref ref-type="bibr" rid="B72">Worne et al., 2019</xref>), and thus biological productivity was relatively lower (<xref ref-type="fig" rid="F6">Figure 6A</xref>). However, dust input and terrestrial fine-grained materials adsorbed with organic matter to protect and accelerate the deposition of organic matter to the seafloor, where there was a relative reducing condition with less dissolved oxygen content to facilitate OC preservation (<xref ref-type="bibr" rid="B9">Carapanis et al., 2016</xref>). In contrast, during interglacial periods (<xref ref-type="fig" rid="F6">Figure 6B</xref>), induced by enhanced water column vertical overturning (<xref ref-type="bibr" rid="B72">Worne et al., 2019</xref>), the upwelling water brought more nutrients and dissolved oxygen to the surface, which was conducive to phytoplankton photosynthesis. However, under the impact of relative oxidation conditions, microorganisms were relatively active and performed respiration to release organic matter back into the water column (<xref ref-type="bibr" rid="B6">Bennett and Canfield, 2020</xref>). Therefore, OC burial was significantly lower in the interglacial periods than in the glacial periods.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Schematic models of OC burial regimes associated with terrestrial OC input by river and eolian dust, marine productivity, and redox conditions derived from marine circulation and RSEs in the mid-latitude Northwest Pacific Ocean during <bold>(A)</bold> glacial and <bold>(B)</bold> interglacial periods.</p>
</caption>
<graphic xlink:href="feart-10-886120-g006.tif"/>
</fig>
<p>Compared to the Northwest Pacific, recent observational records in other areas suggest that the glacial-interglacial regime in OC burial and preservation is likely to be regionally heterogeneous (<xref ref-type="bibr" rid="B9">Carapanis et al., 2016</xref>; <xref ref-type="bibr" rid="B34">LaRowe et al., 2020</xref>). <xref ref-type="bibr" rid="B9">Carapanis et al. (2016)</xref> concluded from hundreds of sediment core records from the global oceans that OC burial pulses derived from higher export production from the surface ocean, higher transfer efficiency to the deep sea and/or enhanced preservation of organic matter in glacial sediment. Our record of OC burial decoupled from marine productivity and mainly forced by the preservation mechanism and redox conditions, is consistent with observations not only in the Northwest Pacific (<xref ref-type="bibr" rid="B36">Li et al., 2017</xref>) but also in the Northeast Pacific (<xref ref-type="bibr" rid="B14">Cristina et al., 2014</xref>), where OC burial has been shown to be decoupled from productivity and controlled by the redox conditions and/or other forces. The most controversial and noteworthy issue is the effect of dust input on marine productivity, which may determine how much production in surface waters is exported to the deeper ocean for burial in sediments. Multiple studies in global areas, including the North Pacific (<xref ref-type="bibr" rid="B31">Kienast et al., 2004</xref>; <xref ref-type="bibr" rid="B36">Li et al., 2017</xref>; <xref ref-type="bibr" rid="B10">Chen et al., 2020</xref>) and even the Antarctic Zone (<xref ref-type="bibr" rid="B48">Parekh et al., 2008</xref>) and sub-Antarctic Zone (<xref ref-type="bibr" rid="B63">Th&#xf6;le et al., 2019</xref>), have provided evidence for the uncertainties and the limited effects of dust input on primary production, depending on the Fe bioavailability and nutrient availability in different areas (<xref ref-type="bibr" rid="B36">Li et al., 2017</xref>; <xref ref-type="bibr" rid="B10">Chen et al., 2020</xref>). Our results support that the evolution of marine productivity is not a simple function of OC burial, which reminds us to be cautious in evaluating biological pumps using geological OC records (<xref ref-type="bibr" rid="B35">Li et al., 2018</xref>).</p>
<p>In the present study, the water redox conditions could have been a more important driver than marine productivity of OC burial on orbital scale. As mentioned before, the sedimentary redox conditions were oxygen-rich in the Northwest Pacific during interglacial periods relative to the glacial periods, which is similar to the records in the North Pacific (<xref ref-type="bibr" rid="B12">Costa et al., 2018b</xref>; <xref ref-type="bibr" rid="B35">Li et al., 2018</xref>). Compared to the carbon sink in the surface ocean, carbon preservation in the deeper ocean plays a more prominent role in global climate change in the Northwest Pacific, where extensive and intense circulation in the water column affects carbon degradation (<xref ref-type="bibr" rid="B31">Kienast et al., 2004</xref>). Under the influence of such a regime, as mentioned above, our observation of glacial OC burial pulses over the past 380&#xa0;kyr provides an improved understanding of the global carbon cycle on glacial-interglacial timescales. Its variations throughout Earth&#x2019;s history were highly sensitive to atmospheric CO<sub>2</sub> concentrations (<xref ref-type="fig" rid="F3">Figures 3G,H</xref>), implying a notable response of deep-sea OC burial to paleoclimate evolution (<xref ref-type="bibr" rid="B9">Carapanis et al., 2016</xref>).</p>
</sec>
</sec>
<sec id="s5">
<title>5 Conclusion</title>
<p>A comprehensive study of bulk OC fluxes and geochemical features in sediment core St10-PC from the Northwest Pacific was conducted to explore the glacial-interglacial OC burial regime and its environmental implications. Over the past 380&#xa0;kyr, the notable cyclic variation records show a higher OC burial in the glacial periods, with relatively higher OC input influenced by the dust input and KC, as contrary to the lower biogenic element contents. This is a remarkable phenomenon of decoupling between biogenic production and OC fluxes, suggesting a limited control of the marine productivity on the OC burial in this study area. The enrichment of RSEs at the sediment-water interface indicated a relatively reducing conditions in glacial periods with higher OC burial flux, which was also closely regulated by the intensity of NPIW and evolution of AABW. Overall, in comparison with interglacial periods, the enhanced OC burial observed in glacial periods emphasize the more important effect of better preservation under reducing conditions. This work further demonstrates pronounced carbon cycle sensitivity to the global climate in the Northwest Pacific on the orbital scale.</p>
</sec>
</body>
<back>
<sec id="s6">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s11">Supplementary Material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>YZ, LH, and XS designed the study, synthesized and analyzed the data, and wrote the manuscript with contributions from all authors. YW helped to reconstruct the age model of St10-PC. ZD, ZY, XG, and YL helped to understand the research background related to the sedimentology and paleo-oceanic environment. MI helped to collect the core. All authors contributed to the manuscript and approved its submission.</p>
</sec>
<sec id="s8">
<title>Funding</title>
<p>This work was supported by the National Natural Science Foundation of China (NSFC) (Nos.: 91858203, 41722603, U1606401), the National Key Research and Development Program of China (No: 2016YFA0601903) and in part by the Taishan Scholar Program (No: TSQN20182117).</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ack>
<p>We thank the crew, captain and scientists of R/V <italic>Hakuho-maru</italic> for their efforts in collecting the sediment samples from the northwest Pacific during the KH16-6 cruise. Onboard observations and sediment sample distributions were supported by Earth Investigation Project of Kochi University. We also thank Prof. Yusuke Okazaki for the valuable assistance during the work and providing the original bulk sediment density dataset. And We thank Yazhi Bai and Hongmin Wang for the assistance during lab work.</p>
</ack>
<sec id="s11">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/feart.2022.886120/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/feart.2022.886120/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table2.DOCX" id="SM1" mimetype="application/DOCX" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table1.XLSX" id="SM2" mimetype="application/XLSX" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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