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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">1077787</article-id>
<article-id pub-id-type="doi">10.3389/feart.2023.1077787</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>Hierarchical Milankovitch and sub-Milankovitch cycles in the environmental magnetism of the lower Shahezi Formation, Lower Cretaceous, Songliao Basin, northeastern China</article-title>
<alt-title alt-title-type="left-running-head">Zhang et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/feart.2023.1077787">10.3389/feart.2023.1077787</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Shujing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2054243/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wu</surname>
<given-names>Huaichun</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="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/878980/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Shihong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Tianshui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/290199/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Haiyan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1743095/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fang</surname>
<given-names>Qiang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1696399/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shi</surname>
<given-names>Meinan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1635899/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>State Key Laboratory of Biogeology and Environmental Geology</institution>, <institution>China University of Geosciences (Beijing)</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>School of Ocean Sciences</institution>, <institution>China University of Geosciences</institution>, <addr-line>Beijing</addr-line>, <country>China</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/108069/overview">Kenneth Philip Kodama</ext-link>, Lehigh University, United States</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/1680316/overview">Zhaoxia Jiang</ext-link>, Ocean University of China, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1815669/overview">Daniel R. Franco</ext-link>, National Observatory, Brazil</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Huaichun Wu, <email>whcgeo@cugb.edu.cn</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Geomagnetism and Paleomagnetism, a section of the journal Frontiers in Earth Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>20</day>
<month>02</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>11</volume>
<elocation-id>1077787</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>10</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>02</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Zhang, Wu, Zhang, Yang, Li, Fang and Shi.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Zhang, Wu, Zhang, Yang, Li, Fang 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>SK-2 borehole in Songliao Basin provides unprecedented geological materials for investigating the Early Cretaceous continental paleoenvironment and paleoclimate in northeastern China. The lacustrine successions of the lower Shahezi (K<sub>1</sub>sh) Formation at the depth from 4,542 to 5,695&#xa0;m was systematically studied using environmental magnetism and cyclostratigraphy in this study. Magnetic analysis reveals an inverse correlation between magnetic susceptibility (MS) and lithological ranks in fine clastic sediments, with the highest values in mudstones and the lowest in sandstones. The main magnetism carriers in the lower K<sub>1</sub>sh are pseudo-single-domain (PSD) and/or multi-domain (MD) magnetite with minor presence of hematite. MS was used to further explore the genesis of the environmental and climatic variations through cyclostratigraphic analysis. Sedimentary cycles of 113&#xa0;m, 34&#xa0;m, 13&#xa0;m and 6&#xa0;m can be identified in the power spectrum, which were interpreted as long and short eccentricity, obliquity, and precession cycles, demonstrating the impact of astronomical cyclicity on sedimentary rhythmicity. Floating astronomical time scale (FATS) of 4,090 kyr&#xa0;and 4,148&#xa0;kyr were established by tuning the inferred long and short eccentricity cycles to the artificial 405-kyr and 105-kyr orbital eccentricity curves respectively. The estimated sediment accumulation rate around 28&#xa0;cm/kyr confirms the rapid deposition process within the faulted lacustrine basin. Based on this study, the lake level oscillations in Songliao Basin are assumed to be shaped by long and short eccentricity, precession and semi-precession cycles during Early Cretaceous. This study also indicates that the sand-mudstone alternations deposition in K<sub>1</sub>sh is most likely driven by the seasonal discrepancies of summer insolation during semi-precession periods.</p>
</abstract>
<kwd-group>
<kwd>Early Cretaceous</kwd>
<kwd>lower Shahezi Formation</kwd>
<kwd>Songliao Basin</kwd>
<kwd>environmental magnetism</kwd>
<kwd>cyclostratigraphy</kwd>
<kwd>lacustrine sediments</kwd>
</kwd-group>
<contract-num rid="cn001">2019YFC0605403</contract-num>
<contract-num rid="cn002">41790451 41688103</contract-num>
<contract-sponsor id="cn001">National Key Research and Development Program of China<named-content content-type="fundref-id">10.13039/501100012166</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>The Early Cretaceous is a complex period characterized by a series of widespread oceanic anoxic events (OAEs), cold intervals interrupting the warm greenhouse climates, and several marine biotic crises, which are largely influenced by the global paleoceanographic and paleoclimatic changes (<xref ref-type="bibr" rid="B64">Puc&#xe9;at et al., 2003</xref>; <xref ref-type="bibr" rid="B54">McAnena et al., 2013</xref>; <xref ref-type="bibr" rid="B94">Yang et al., 2013</xref>; <xref ref-type="bibr" rid="B32">Herrle et al., 2015</xref>; <xref ref-type="bibr" rid="B53">Matsumoto et al., 2020</xref>; <xref ref-type="bibr" rid="B93">Xu et al., 2022</xref>). As an essential component of the Earth&#x2019;s climate system, continental deposits play critical roles in documenting global climate changes and interactions with ocean systems. Songliao Basin (SB) in northeastern China is well-known as a typical continental lacustrine basin deposit during the Cretaceous. This region has attracted tremendous attention in multidisciplinary investigations related to the Cretaceous Earth evolution. However, most paleoenvironmental and paleoclimatic studies conducted in SB are generally focused on the Late Cretaceous or the Cenozoic Eras in the past decade (<xref ref-type="bibr" rid="B89">Wu et al., 2013a</xref>; <xref ref-type="bibr" rid="B11">Chamberlain et al., 2013</xref>; <xref ref-type="bibr" rid="B75">Wang et al., 2013</xref>; <xref ref-type="bibr" rid="B88">Wu et al., 2014</xref>; <xref ref-type="bibr" rid="B27">Gao et al., 2015</xref>; <xref ref-type="bibr" rid="B25">Gao et al., 2021a</xref>; <xref ref-type="bibr" rid="B26">Gao et al., 2021b</xref>; <xref ref-type="bibr" rid="B86">Wu et al., 2022</xref>), and studies focused on the Early Cretaceous remain insufficient. Fortunately, the successful completion of Songke 2 well (SK-2) provides an unprecedented opportunity to systematically recover the global evolution from the Early to Mid-Cretaceous from the terrestrial perspective (<xref ref-type="bibr" rid="B20">Feng et al., 2013</xref>; <xref ref-type="bibr" rid="B28">Gao et al., 2019</xref>) with coring from Permian basement to the Yingcheng Formation (<xref ref-type="bibr" rid="B102">Zhu et al., 2018</xref>). Marked by rapidly deposited lacustrine strata and thick lacustrine deposits and interbedded with surrounding volcanic rocks, Shahezi Formation (K<sub>1</sub>sh) is considered to be a valuable sequence that systematically documented the terrestrial climate evolution from Early to Mid-Cretaceous.</p>
<p>In contrast to the slow depositional processes of marine sedimentation or turbulent fluvial/alluvial depositional environments, lacustrine sediments contain stable, continuous and high-resolution archives of the continental paleoenvironment (<xref ref-type="bibr" rid="B51">Liu et al., 2012</xref>). Compared with the complex clay mineralogy and (radio-)isotopic stratigraphy testing procedures, rock magnetism and the derived environmental magnetic interpretations are favored by paleoenvironmentalists and paleoclimatologists for their simple, rapid, cost-effective and informative measurements (<xref ref-type="bibr" rid="B40">King and Channell, 1991</xref>; <xref ref-type="bibr" rid="B14">Dekkers, 1997</xref>; <xref ref-type="bibr" rid="B51">Liu et al., 2012</xref>; <xref ref-type="bibr" rid="B97">Zhang et al., 2020</xref>). Most importantly, environmental evolution can be tracked through time from the properties of magnetic minerals, concentrations and domain states of the magnetic substance contained in rocks or sediments (<xref ref-type="bibr" rid="B70">Thompson and Oldfield, 1986</xref>; <xref ref-type="bibr" rid="B73">Verosub and Roberts, 1995</xref>).</p>
<p>Analyzing the magnetic parameters using cyclostratigraphy is one of the most effective methods to reconstruct the paleoenvironment and explore the astronomical origin which potentially controls the paleoclimate changes. In the study of Cretaceous strata in SB, <xref ref-type="bibr" rid="B47">Li et al. (2013)</xref> found that the main magnetization-carrying minerals in the Qingshankou Formation of SK-1s Well is clastic magnetite, and the lake level was affected by both tectonics and Milankovitch forcing. From the same well, <xref ref-type="bibr" rid="B89">Wu et al. (2013a)</xref> established an astronomical age-depth model for the Late Cretaceous lacustrine sequences using MS data, which provides a precise chronological basis for important geological events. These results indicate that magnetic parameters can be used as a reliable paleoclimatic proxy of continental successions for further interdisciplinary research. However, the paucity of related work in the Early Cretaceous has created a knowledge gap in our understanding of the continental paleoenvironment, preventing comprehensive coverage of the coupling between land and ocean climatic processes during the Early Cretaceous.</p>
<p>In this study, detailed rock-magnetic measurements were conducted on the samples from the lower part of the K<sub>1</sub>sh, SK-2, and then lithology and cyclostratigraphy were applied to preliminarily analyze the distinct sedimentary cycles. The main scientific objectives of this study are to 1) describe the magnetic characteristics of the sediments in the K<sub>1</sub>sh, and compare these characteristics among different lithologies, 2) provide preliminary temporal constraints on the studied strata, which can be used as a reference for future correlation studies between marine and terrestrial records, and 3) probe the response of sedimentation to the orbital and sub-orbital forcing mechanisms recorded in the K<sub>1</sub>sh.</p>
</sec>
<sec id="s2">
<title>2 Geological setting and SK-2 well</title>
<sec id="s2-1">
<title>2.1 Geological setting</title>
<p>With a N-NE trending axis, Songliao Basin (SB) is located on the Jiameng Block across three provinces (Heilongjiang, Jilin and Liaoning) of northeast China at the convergence of the Siberian Plate, North China Plate and the western margin of the paleo-Pacific tectonic belt (<xref ref-type="bibr" rid="B100">Zhou et al., 2009</xref>) (<xref ref-type="fig" rid="F1">Figures 1A&#x2013;C</xref>). It is one of the longest-evolved and largest Cretaceous continental basins in the world (<xref ref-type="bibr" rid="B34">Hou et al., 2018</xref>). SB is 760&#xa0;km long, 330&#x2013;370&#xa0;km wide and covers an area of 260,000&#xa0;km<sup>2</sup>. Tectonically, the formation of the basin in the Cretaceous period was closely related to the subduction of the paleo-Pacific plate beneath the paleo-Asian Plate and active magmatism due to both plume activity and subduction (<xref ref-type="bibr" rid="B59">Okada, 2000</xref>; <xref ref-type="bibr" rid="B100">Zhou et al., 2009</xref>). Following the mantle upwelling stage during the Middle and Late Jurassic, the Cretaceous SB underwent three episodes: syn-rifting stage (&#x223c;150&#x2013;110&#xa0;Ma), post-rift thermal sagging stage (&#x223c;110&#x2013;79.1&#xa0;Ma), and structural inversion stage (&#x223c;79.1&#x2013;64&#xa0;Ma) (<xref ref-type="bibr" rid="B80">Wang et al., 2007</xref>; <xref ref-type="bibr" rid="B79">2016</xref>; <xref ref-type="bibr" rid="B100">Zhou et al., 2009</xref>; <xref ref-type="bibr" rid="B19">Feng et al., 2010</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>
<bold>(A)</bold> Location of the Songliao Basin (SB) in northeastern Chinese mainland <bold>(B)</bold> Tectonics of East Asia, yellow circle is the same as <bold>(A)</bold>, <bold>&#x2460;</bold> Jiameng block, <bold>&#x2461;</bold> Siberian block, <bold>&#x2462;</bold> North China block, <bold>&#x2463;</bold> Pacific plate, <bold>&#x2464;</bold> South China block, <bold>&#x2465;</bold> Tarim block, <bold>&#x2466;</bold> India block, <bold>&#x2467;</bold> Eastern Europe block, <bold>and &#x2468;</bold> Central Asian orogenic belt (modified from <xref ref-type="bibr" rid="B100">Zhou et al., 2009</xref>) <bold>(C)</bold> The first-order tectonic units of SB and location of SK-2 borehole (modified from <xref ref-type="bibr" rid="B20">Feng et al., 2013</xref>) <bold>(D)</bold> Stratigraphic sequence of the Shahezi Formation in SK-2 and corresponding age data (modified from <xref ref-type="bibr" rid="B50">Liu et al., 2020</xref>), the black line represents interval in this study <bold>(E)</bold> The structural section across the central SB (A-A&#x2032; in <bold>(C)</bold>) and sites of the boreholes which had been drilled in Continental Deep Scientific Drilling of SB up to 2018. The yellow bars are intervals with continuous coring, and white bars are uncored intervals (modified from <xref ref-type="bibr" rid="B75">Wang et al., 2013</xref>).</p>
</caption>
<graphic xlink:href="feart-11-1077787-g001.tif"/>
</fig>
<p>As a superimposed rift basin, the SB overlies a basement that consists mainly of Precambrian to Paleozoic metamorphic and igneous rocks and Paleozoic to Mesozoic granites. The Mesozoic and Cenozoic continental strata as thick as 10,000&#xa0;m are recovered in the central part of the basin (<xref ref-type="fig" rid="F1">Figure 1E</xref>) (<xref ref-type="bibr" rid="B84">Wang et al., 2006</xref>; <xref ref-type="bibr" rid="B62">Pei et al., 2007</xref>; <xref ref-type="bibr" rid="B100">Zhou et al., 2009</xref>; <xref ref-type="bibr" rid="B99">Zhang et al., 2011</xref>; <xref ref-type="bibr" rid="B34">Hou et al., 2018</xref>). The Cretaceous lithologic strata are divided into ten formations, namely, Huoshiling (K<sub>1</sub>h), Shahezi (K<sub>1</sub>sh), Yingcheng (K<sub>1</sub>yc), Denglouku (K<sub>1</sub>d), Quantou (K<sub>1</sub>q), Qingshankou (K<sub>2</sub>qn), Yaojia (K<sub>2</sub>y), Nenjiang (K<sub>2</sub>n), Sifangtai (K<sub>2</sub>s), and Mingshui (K<sub>2</sub>m) in ascending order (<xref ref-type="bibr" rid="B80">Wang et al., 2007</xref>; <xref ref-type="bibr" rid="B75">2013</xref>; <xref ref-type="bibr" rid="B19">Feng et al., 2010</xref>) (<xref ref-type="fig" rid="F1">Figure 1E</xref>).</p>
<p>The Cretaceous period in the SB had a humid to sub-humid subtropical paleoclimate with four cooling events, three warming events, and two semi-arid events (<xref ref-type="bibr" rid="B75">Wang et al., 2013</xref>). Based on the literature references referring to geology (<xref ref-type="bibr" rid="B76">Wang et al., 1995</xref>; <xref ref-type="bibr" rid="B16">Du et al., 2011</xref>; <xref ref-type="bibr" rid="B96">Zhang et al., 2018</xref>), paleontology (<xref ref-type="bibr" rid="B22">Gao et al., 1992</xref>; <xref ref-type="bibr" rid="B24">Gao et al., 1999b</xref>) and oxygen isotopic materials (<xref ref-type="bibr" rid="B11">Chamberlain et al., 2013</xref>), these climatic events are in agreement with the climatic pattern documented by synchronous marine formations. The consistency of the cold Early Cretaceous climate patterns reconstructed from both continents, especially western Liaoning of northeastern China (<xref ref-type="bibr" rid="B1">Amiot et al., 2011</xref>; <xref ref-type="bibr" rid="B83">Wang et al., 2017</xref>), and marine enviroment (<xref ref-type="bibr" rid="B64">Puc&#xe9;at et al., 2003</xref>; <xref ref-type="bibr" rid="B29">Guti&#xe9;rrez-Puente et al., 2021</xref>), may indicate that the atmosphere-ocean system had a global impact on continental climate and environment.</p>
</sec>
<sec id="s2-2">
<title>2.2 The SK-2 well and the K<sub>1</sub>sh</title>
<p>Cretaceous International Continental Scientific Drilling Project of SK-2 started at April 2014, and was officially completed on 26 May 2018, with a total drilling depth of 7,018&#xa0;m. It obtained 4,134.8&#xa0;m length of sediments with a recovery ratio of 96.61% (<xref ref-type="bibr" rid="B34">Hou et al., 2018</xref>; <xref ref-type="bibr" rid="B102">Zhu et al., 2018</xref>). SK-2 well is located at the Xujiaweizi faulted depression in Songzhan area, where the lacustrine mudstones dominate the section (<xref ref-type="bibr" rid="B77">Wang et al., 2017</xref>). The project collected continuous sediments from the bottom of the K<sub>1</sub>d down to the basement of SB, with K<sub>1</sub>yc, K<sub>1</sub>sh, and K<sub>1</sub>h as the main target strata, which were deposited during the Early Cretaceous syn-rifting stage. Unlike the volcaniclastic sequences in K<sub>1</sub>yc and K<sub>1</sub>h, the intercalated K<sub>1</sub>sh is characterized by lacustrine clastic deposits containing abundant hydrocarbon rocks and coal seams (<xref ref-type="bibr" rid="B81">Wang et al., 2015</xref>; <xref ref-type="bibr" rid="B21">Fu et al., 2019</xref>).</p>
<p>The Shahezi (K<sub>1</sub>sh) Formation (5,695.1&#x2013;3336&#xa0;m) of SK-2 is generally composed of dark rocks interbedded with coals, and is interpreted as river, lacustrine, and delta deposits formed in reducing environment during a greenhouse condition (<xref ref-type="bibr" rid="B77">Wang et al., 2017</xref>). K<sub>1</sub>sh unconformably overlies the K<sub>1</sub>h, and it can be divided into two members. The Member 1 (5,695.1&#x2013;4,542&#xa0;m) consists of variegated conglomerates intercalated with gray coarse sandstones, grayish-black mudstones of unequal thickness at the bottom and gray silty sandstones, dark gray mudstones in the upper part, suggesting that sedimentary facies shifted from fan delta to deep lake in ascending order. The Member 2 (4,542&#x2013;3,336&#xa0;m) is composed of a large amount of fine-grained sediments, such as grayish-black silty sandstone and mudstone with occasional variegated conglomerate-bearing sandstone that were deposited in lacustrine environment. <xref ref-type="bibr" rid="B45">Li. (2018)</xref> divided the K<sub>1</sub>sh of the SK-2 into six sedimentary cycles according to detailed core description, with each of them displaying fining-upward trend that reveals multi-periodic climate cycles from relatively arid to humid. It is a succession with normal grading in the grain size deposition, indicating a weakening hydrodynamic condition and gradually wetter paleoclimate.</p>
</sec>
<sec id="s2-3">
<title>2.3 Geochronological constraints of the K<sub>1</sub>sh</title>
<p>Previous investigations have extensively estimated the chronostratigraphy for K<sub>1</sub>sh strata distributed in northeastern China basins by using diverse dating techniques. In the view of biostratigraphically, K<sub>1</sub>sh has been commonly considered belonging to the lower Cretaceous (<xref ref-type="bibr" rid="B23">Gao et al., 1999a</xref>). <xref ref-type="bibr" rid="B78">Wang et al. (2002)</xref> obtained ages from volcanic rocks of 135.96 &#xb1; 0.28&#xa0;Ma at the bottom of the K<sub>1</sub>yc and 147.77 &#xb1; 0.28&#xa0;Ma at the top of the K<sub>1</sub>h using <sup>40</sup>Ar/<sup>39</sup>Ar dating method, providing a &#x223c;10 Myr duration for K<sub>1</sub>sh. <xref ref-type="bibr" rid="B52">Liu et al. (2020)</xref> constructed a 11.14 Myr floating astronomical time scale for the K<sub>1</sub>sh of the Songshen-4 well located near SK-2. Afterwards, further precise zircon U-Pb ages of 111&#x2013;115&#xa0;Ma and 105-112&#xa0;Ma in K<sub>1</sub>yc performed by <xref ref-type="bibr" rid="B68">Shu et al. (2007)</xref> and <xref ref-type="bibr" rid="B35">Huang et al. (2011)</xref> respectively, demonstrated the base of K<sub>1</sub>sh is supposedly formed during Aptian period. Recently, more new zircon U-Pb data derived from the SK-2 borehole restrict K<sub>1</sub>sh into &#x223c;118&#x2013;111&#xa0;Ma (<xref ref-type="bibr" rid="B2">An, 2018</xref>; <xref ref-type="bibr" rid="B50">Liu et al., 2020</xref>; <xref ref-type="bibr" rid="B95">Yu et al., 2020</xref>; <xref ref-type="bibr" rid="B82">Wang et al., 2022</xref>) (<xref ref-type="fig" rid="F1">Figure 1D</xref>) and correlate this non-marine succession to late Aptain-early Albian stage. This &#x223c;118&#x2013;111&#xa0;Ma age scale is currently the mostly acceptable chronological constraint for the K<sub>1</sub>sh in present research.</p>
</sec>
</sec>
<sec sec-type="materials|methods" id="s3">
<title>3 Materials and methods</title>
<sec id="s3-1">
<title>3.1 Sampling and data</title>
<p>A total of 1,097 samples were collected from the lower K<sub>1</sub>sh (5,690&#x2013;4,542&#xa0;m) of the SK-2 except for the 4,900&#x2013;4,918&#xa0;m interval with an average interval of 1&#xa0;m. Each sample was broken into pieces and placed into a 8&#xa0;cm<sup>3</sup> non-magnetic, cubic plastic box for detailed magnetic measurements. Low-field mass-specific magnetic susceptibility (&#x3c7;) is the magnetization induced by the applied magnetic field versus the value of the applied field per unit mass. The concentration of all magnetic minerals (i.e., ferromagnetic, paramagnetic, and diamagnetic minerals) affects the &#x3c7; in sediments making it challenging to interpret the climate or environment fluctuations. Anhysteretic remanent magnetic susceptibility (&#x3c7;<sub>ARM</sub>) is obtained by applying a direct current (DC) magnetic field in the presence of an alternating magnetic field that is decreased from some peak value to 0. It is a measure of the concentration of only the fine low coercivity ferrimagnetic minerals in a rock sample which usually has a detrital origin in lacustrine sediments. Saturation isothermal remanent magnetization (SIRM) measures the concentration of all ferrimagnetic minerals in a sample by using a stable DC field at room temperature to apply the maximum remanence magnetization from the specimen. Numerous studies have shown that the magnetic parameters can serve as a sensitive indicator of the climate cycles (<xref ref-type="bibr" rid="B18">Ellwood et al., 2000</xref>; <xref ref-type="bibr" rid="B44">Latta et al., 2006</xref>; <xref ref-type="bibr" rid="B10">Boulila et al., 2010</xref>; <xref ref-type="bibr" rid="B41">Kodama et al., 2010</xref>; <xref ref-type="bibr" rid="B87">Wu et al., 2012</xref>). We used magnetic data on these three parameters to identify the most suitable climate proxy and better understand the paleoclimate evolution.</p>
</sec>
<sec id="s3-2">
<title>3.2 Methods</title>
<sec id="s3-2-1">
<title>3.2.1 Magnetic testing</title>
<p>&#x3c7; was measured in a low magnetic field (approximately 0.256&#xa0;mT) using the AGICO MFK1-FA Kappabridge with a low frequency of 974&#xa0;Hz. Anhysteretic remanent magnetization (ARM) was obtained by the ASC D-2000&#xa0;AF demagnetizer with a 100&#xa0;mT alternating field superimposed with a 0.05&#xa0;mT DC field and its value would be divided by 0.05&#xa0;mT to get &#x3c7;<sub>ARM</sub>. Specimens were remagnetized in a positive 1&#xa0;T field with the ASC IM-10&#x2013;30 impulse magnetizer to approach the saturation isothermal remanent magnetization (SIRM). All remanences were measured with a JR-6A spinner magnetometer. Additionally, it is essential to weigh rock samples before magnetic measurements to ensure mass normalization can be conducted. Thermomagnetic &#x3ba;-T curves for 10 representative samples were obtained using AGICO KLY-4S Kappabridge in argon atmosphere with a CS-3 heating component between room temperature and 700&#xa0;&#xb0;C. These experiments were performed in the Paleomagnetism and Environmental Magnetism Laboratory at China University of Geosciences, Beijing.</p>
<p>IRM acquisitions, hysteresis loops and first order reversal curves (FORCs) were performed to the 10 samples using MicroMag Model 3,900 vibrating sample magnetometer (VSM, Princeton MicroMag 3,900) in the Institute of Geophysics, China Earthquake Administration. The maximum applied fields for IRM acquisitions are 1&#xa0;T. Hysteresis loops were imparted to maximum fields of 200&#xa0;mT for nine samples, 500&#xa0;mT for one sample with 500&#xa0;m averaging time. FORCs with 160 segments were diagramed using the FORCinel software (<xref ref-type="bibr" rid="B31">Harrison and Feinberg, 2008</xref>).</p>
</sec>
<sec id="s3-2-2">
<title>3.2.2 Cyclostratigraphy</title>
<p>Cyclostratigraphic analysis concerning the environmental magnetic records provides an effective method to investigate the mechanism of the climate variation imprinted in the basinal strata (<xref ref-type="bibr" rid="B89">Wu et al., 2013a</xref>; <xref ref-type="bibr" rid="B91">Wu et al., 2013b</xref>). Before time series analysis, the data series were interpolated onto an evenly sampled grid of &#x223c;1.05&#xa0;m and detrended to remove linear trend. Multi-taper method (MTM) was applied to identify the presence of spectral peaks in the data (<xref ref-type="bibr" rid="B71">Thomson, 1982</xref>). Classical red noise estimation was conducted to interpret the significance of spectral peaks (<xref ref-type="bibr" rid="B58">Mudelsee, 2014</xref>). Then cycle ratio method was used to estimate the possible existence of the Milankovitch cycles (<xref ref-type="bibr" rid="B85">Weedon, 2003</xref>). The evolutive harmonic analysis (EHA) was used to evaluate the persistence and/or transience of orbital frequencies and to track the possible changes in sediment accumulation rates in depth domain (<xref ref-type="bibr" rid="B56">Meyers, 2014</xref>). The Gaussian bandpass filters were designed to extract the signals of the interpreted Milankovitch and sub-Milankovitch cycles (<xref ref-type="bibr" rid="B8">Bloch et al., 1969</xref>; <xref ref-type="bibr" rid="B56">Meyers, 2014</xref>). Stratigraphic series were transformed from depth to age scale using specified anchor points with <italic>tune</italic> function. Hilbert transform was performed to examine the amplitude modulation (AM) of the studied signals. These spectral analyses and astronomical calibration processes were implemented using the <italic>Astrochron</italic> package in R (<xref ref-type="bibr" rid="B56">Meyers, 2014</xref>). The correlation coefficient (COCO) analysis was carried out to quantitatively identify the astronomical forcing on stratigraphic cycles and accurately assess the sediment accumulation rate (SAR) with <italic>ACycle v2.1</italic> (<xref ref-type="bibr" rid="B48">Li et al., 2018</xref>). Evolutionary correlation coefficient (eCOCO) analysis was used to track the changes in SAR along the studied stratigraphic series (<xref ref-type="bibr" rid="B48">Li et al., 2018</xref>).</p>
</sec>
<sec id="s3-2-3">
<title>3.2.3 Lithological statistics</title>
<p>The ten lithological ranks, from mudstone to conglomerate, are numbered from 1 to 10 in order with increasing grain size (see <xref ref-type="fig" rid="F2">Figure 2A</xref> for the classification). These lithological ranks were used to fit a lake level curve, with lower ranks denoting high lake level and higher ones denoting low lake level (<xref ref-type="fig" rid="F3">Figure 3A</xref>). <italic>Histogram. m</italic>, <italic>fitdist. m</italic>, and <italic>boxplot. m</italic> functions to individually and collectively describe the &#x3c7; distributions associated to each rank were applied in MATLAB.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>
<bold>(A)</bold> Probability density distribution of mass-specific magnetic susceptibility (&#x3c7;) values (left) and boxplot (right) from the SK-2 Well for the ten lithological ranks. Mudstone (Rank &#x3d; 1), silty mudstone (Rank &#x3d; 2), muddy siltstone (Rank &#x3d; 3) and siltstone (Rank &#x3d; 4), fine sandstone (Rank &#x3d; 5), coarse sandstone (Rank &#x3d; 6), gravel-bearing fine sandstone (Rank &#x3d; 7) and gravel-bearing coarse sandstone (Rank &#x3d; 8), sandy conglomerate (Rank &#x3d; 9), and conglomerate (Rank &#x3d; 10) <bold>(B)</bold> Relationship between &#x3c7; values and lithological ranks of the lower K<sub>1</sub>sh Formation in the SK-2 Well. Rank values are the same as <bold>(A)</bold>.</p>
</caption>
<graphic xlink:href="feart-11-1077787-g002.tif"/>
</fig>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Magnetic parameter profiles for sediments of the lower K<sub>1</sub>sh (4,542&#x2013;5,694&#xa0;m) from the SK-2 borehole <bold>(A)</bold> Lake level fluctuations (the blue shading) are modeled from the variations of lithological ranks <bold>(B)</bold> SIRM <bold>(C)</bold> &#x3c7;<sub>ARM</sub> <bold>(D)</bold> &#x3c7; <bold>(E)</bold> Stratigraphy, depositional facies and lithology of the studied strata, with red arrowheads pointing to the corresponding depths of the selected representative samples for rock magnetic experiments. FD: Fan-delta. L: Lake. Depositional facies are modified from <xref ref-type="bibr" rid="B50">Liu et al. (2020)</xref>. Dashed blue lines divide the succession into Subset 1, Subset 2, and Subset 3.</p>
</caption>
<graphic xlink:href="feart-11-1077787-g003.tif"/>
</fig>
</sec>
</sec>
</sec>
<sec sec-type="results" id="s4">
<title>4 Results</title>
<sec id="s4-1">
<title>4.1 Magnetic series of the lower K<sub>1</sub>sh formation</title>
<p>According to the trends of magnetic data combined with lithological ranks, the studied sequence can be divided into three subsets, including Subset 1 extending from 5,695&#xa0;m to 5,400&#xa0;m, Subset 2 spanning from 5,400&#xa0;m to 4,900&#xa0;m and Subset 3 corresponding to the interval from 4,900&#xa0;m to 4,542&#xa0;m (<xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<p>Subset 1 (5,695&#xa0;m&#x2013;5,400&#xa0;m): The magnetic parameters had the highest values for the entire section. The average values of the three concentration-dependent parameters are 8.24&#xd7;10<sup>-8</sup>&#xa0;m<sup>3</sup>/kg for &#x3c7; (<xref ref-type="fig" rid="F3">Figure 3D</xref>), 17.64&#xd7;10<sup>-8</sup>&#xa0;m<sup>3</sup>/kg for &#x3c7;<sub>ARM</sub> (<xref ref-type="fig" rid="F3">Figure 3C</xref>), and 13.94&#xd7;10<sup>-5</sup>Am<sup>2</sup>/kg for SIRM (<xref ref-type="fig" rid="F3">Figure 3B</xref>) respectively. The values for the upper conglomerates are larger than the bottom mudstones, indicating the magnetic contents in the conglomerate are significantly higher than those in other clastic sedimentary rocks.</p>
<p>Subset 2 (5,400&#xa0;m&#x2013;4,900&#xa0;m): The mean values of &#x3c7;, &#x3c7;<sub>ARM</sub> and SIRM are 6.67&#xd7;10<sup>&#x2212;8</sup>&#xa0;m<sup>3</sup>/kg, 7.28&#xd7;10<sup>&#x2212;8</sup>&#xa0;m<sup>3</sup>/kg and 6.21&#xd7;10<sup>&#x2212;5</sup>&#xa0;Am<sup>2</sup>/kg respectively. They are comparable to the bottom of Subset 1 and remain steady with periodic fluctuations (<xref ref-type="fig" rid="F3">Figures 3B&#x2013;D</xref>). While &#x3c7; and &#x3c7;<sub>ARM</sub> do not exhibit apparent trends (<xref ref-type="fig" rid="F3">Figures 3C, D</xref>), SIRM has a clearly increasing trend (<xref ref-type="fig" rid="F3">Figure 3B</xref>), indicating high coercivity magnetic minerals increases during this interval.</p>
<p>Subset 3 (4,900&#xa0;m&#x2013;4,542&#xa0;m): Mean values of &#x3c7;, &#x3c7;<sub>ARM</sub>, and SIRM are 6.87&#xd7;10<sup>&#x2212;8</sup>&#xa0;m<sup>3</sup>/kg, 6.55&#xd7;10<sup>&#x2212;8</sup>&#xa0;m<sup>3</sup>/kg and 6.13&#xd7;10<sup>&#x2212;5</sup>&#xa0;Am<sup>2</sup>/kg. The value of &#x3c7; is comparable to that of Subset 2 and &#x3c7;<sub>ARM</sub> and SIRM are lower than those of Subset 2 (<xref ref-type="fig" rid="F3">Figures 3B&#x2013;D</xref>). &#x3c7;<sub>ARM</sub> and SIRM show distinctly declining trends with shallowing depth (<xref ref-type="fig" rid="F3">Figures 3B, C</xref>).</p>
</sec>
<sec id="s4-2">
<title>4.2 Rock magnetic characteristics</title>
<sec id="s4-2-1">
<title>4.2.1 &#x3ba;-T thermomagnetic curves</title>
<p>The critical temperatures at the peaks and/or inflections exhibited in the &#x3ba;-T thermomagnetic curves can be used to determine the categories of magnetic minerals contained in the samples (<xref ref-type="bibr" rid="B70">Thompson and Oldfield, 1986</xref>; <xref ref-type="bibr" rid="B9">Bloemendal et al., 1988</xref>). The magnetic susceptibility (&#x3ba;) of all samples increases considerably in the cooling curves from 600&#xb0;C to 400&#xb0;C and is higher apparently than the peak value in the heating curves (<xref ref-type="fig" rid="F4">Figures 4A, F, K</xref>), implying that the iron-bearing clay minerals (and/or silicate) were converted into magnetite (titanomagnetite) in the high temperature ranging from 600&#xb0;C to 700&#xb0;C. The increase of the magnetic susceptibility (&#x3ba;) of the sample S-150&#x2013;10 during 200&#xb0;C&#x2013;300&#xb0;C in the heating process can be attributed to the formation of maghemite from some iron hydroxide (<xref ref-type="fig" rid="F4">Figure 4A</xref>). The value of &#x3ba; descends significantly at a temperature range of 300&#xb0;C&#x2013;400&#xb0;C, which is possibly related to the transformation from maghemite to hematite, and is consistent with the hematite signal above 600&#xb0;C. The magnetic susceptibility of the samples like S-159&#x2013;30 decreases slowly with the increase of temperature before 300&#xb0;C (<xref ref-type="fig" rid="F4">Figure 4F</xref>), which is indicative of the presence of paramagnetic minerals in the samples (<xref ref-type="bibr" rid="B46">Li and Zhang, 2005</xref>). The magnetic susceptibility gradually increases from 300&#xb0;C, reaches the peak value at about 500&#xb0;C, then drops to the base value at around 580&#xb0;C. These variations show the Curie temperature of magnetite at 580&#xb0;C, which may result from the decomposition of iron-bearing paramagnetic minerals transformation into magnetite (<xref ref-type="bibr" rid="B101">Zhu et al., 2001</xref>) or the original existence of magnetite. The slight attenuation between 600&#xb0;C and 700&#xb0;C suggests the presence of hematite. The magnetic susceptibility values of samples like S-168&#x2013;24 are one order of magnitude larger compared with other samples and show clear Curie temperature of magnetite at 560&#xb0;C&#x2013;600&#xb0;C (<xref ref-type="fig" rid="F4">Figure 4K</xref>), which indicates the high concentration of magnetite in these samples.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Rock magnetic diagnosis of three of the representative samples selected from the lower K<sub>1</sub>sh (depth for each sample can be seen in FIGURE. 3(A)) <bold>(A, F, K)</bold> &#x3ba;-T curves with red (blue) lines indicating heating (cooling) curves <bold>(B, G, L)</bold> Normalized IRM acquisition curves (purple lines) and reverse demagnetization curves (blue lines) with zooming plots showing B<sub>cr</sub> for each sample <bold>(C, H, M)</bold> Normalized hysteresis loops before (blue lines) and after (green lines) paramagnetic correction measured during room temperature. The maximum values of applied fields are set as 200&#xa0;mT <bold>(D, I, N)</bold> FORC diagrams (smoothing factor&#x3d;10) <bold>(E, J, O)</bold> IRM decomposition curves (<xref ref-type="bibr" rid="B42">Kruiver et al., 2001</xref>; <xref ref-type="bibr" rid="B33">Heslop et al., 2002</xref>): red lines are the fitted results of the scattered blue diamonds which denote the gradients of IRM acquisition curves. Magenta, green, and grey shadings represent the maghemite (and/or coarse magnetite), fine magnetite, and hematite, respectively. The B<sub>1/2</sub> and DP values of each component have been labeled.</p>
</caption>
<graphic xlink:href="feart-11-1077787-g004.tif"/>
</fig>
</sec>
<sec id="s4-2-2">
<title>4.2.2 IRM acquisition and reverse demagnetization curves</title>
<p>The IRM acquisition curves and reverse demagnetization curves are usually utilized to estimate the remanence coercivities, which are then used preliminarily to determine the main ferromagnetic minerals of the natural materials (<xref ref-type="bibr" rid="B91">Wu et al., 2013b</xref>). The IRM of the majority of the samples, achieves 50% of the SIRM at &#x223c;44&#xa0;mT (39.4&#x2013;48.9&#xa0;mT), 90% of the SIRM at &#x223c;100&#xa0;mT (93.8&#x2013;127&#xa0;mT), and virtually saturation at roughly 200&#xa0;mT (161&#x2013;254&#xa0;mT) (<xref ref-type="fig" rid="F4">Figures 4B, G, L</xref>). B<sub>cr</sub> (remanence coercivity) was in the range of 30.5&#x2013;36&#xa0;mT (<xref ref-type="fig" rid="F4">Figures 4B, G, L</xref>). Therefore, the main magnetic minerals are low coercivity ferrimagnetic minerals in most of the selected samples.</p>
<p>IRM acquisition curve decomposition is a mathematically statistical method using the linear additivity of the cumulative logarithmic Gaussian distribution of each component in the curve (<xref ref-type="bibr" rid="B66">Robertson and France, 1994</xref>) to efficiently distinguish magnetic mineral components (<xref ref-type="bibr" rid="B42">Kruiver et al., 2001</xref>; <xref ref-type="bibr" rid="B33">Heslop et al., 2002</xref>). We used the Excel workbook file provided by Kruiver (<xref ref-type="bibr" rid="B42">Kruiver et al., 2001</xref>) and the Irmunmix program written by Heslop (<xref ref-type="bibr" rid="B33">Heslop et al., 2002</xref>) to fit and optimize the first derivative of the IRM acquisition curve. The different B<sub>1/2</sub> value (i.e., the abscissa value of the peak), coercivity distribution and SIRM of each of the curves are shown as the criteria to discriminate individual magnetic components contained in the samples. Three components were recognized (<xref ref-type="fig" rid="F4">Figures 4E, J, O</xref>) including component 1: maghemite or coarse magnetite particle (&#x3c;20&#xa0;mT mean coercivity), component 2: fine magnetite particle (&#x223c;40&#x2013;60&#xa0;mT mean coercivity with wide distribution), and component 3: hematite (B<sub>1/2</sub> &#x3e; 100&#xa0;mT), which is consistent with the &#x3ba;-T results. Component 3 accounts for only 11% and 4% of the total IRM of the samples S-150&#x2013;10 and S-168&#x2013;24 respectively, indicating the predominance of low-coercivity magnetic minerals and few high-coercivity magnetic minerals in the sediments and that high-coercivity magnetic minerals are few. In sample S-159&#x2013;30, the IRM contribution of component 3 is about 29%. Therefore, low-coercivity minerals coupled with considerable amounts of high-coercivity components make up the magnetic minerals in sediments from this depth.</p>
</sec>
<sec id="s4-2-3">
<title>4.2.3 Hysteresis loops and first order reversal curves (FORCs)</title>
<p>The hysteresis loops, corrected for paramagnetics (green lines in <xref ref-type="fig" rid="F4">Figures 4C, H, M</xref>), provide comprehensive information about the types of magnetic minerals and the states of magnetic domains (particle sizes) (<xref ref-type="bibr" rid="B65">Roberts et al., 2000</xref>), which is mainly expressed by the shape of the loops and key data such as saturated magnetization (M<sub>s</sub>), saturated remanence magnetization (M<sub>rs</sub>), coercivity (B<sub>c</sub>), remanence coercivity (B<sub>cr</sub>), M<sub>rs</sub>/M<sub>s</sub>, and B<sub>c</sub>/B<sub>cr</sub> (<xref ref-type="bibr" rid="B17">Dunlop and &#xd6;zdemir, 1997</xref>). All loops are thin and long in shape, making it clear that the magnetic particles included are relatively coarse with low coercivity (<xref ref-type="fig" rid="F4">Figures 4C, H, M</xref>). In addition, the hysteresis loops of some samples did not close at high field (<xref ref-type="fig" rid="F4">Figure 4C, M</xref>), which may be the consequence of the presence of paramagnetic minerals and diamagnetic components.</p>
<p>As an extension of hysteresis measurements, FORC diagrams are used to reveal the coercivity and domain state of the magnetic particles. Most samples have coercivity distribution between 0&#x2013;100&#xa0;mT with peak H<sub>c</sub> at 30&#xa0;mT, and vertical distribution H<sub>u</sub> within the range of &#xb1;50&#xa0;mT (<xref ref-type="fig" rid="F4">Figures 4D, I, N</xref>). The common shapes are triangles truncated by <italic>y</italic>-axis, which suggests that the main magnetic particles in these samples are PSD particles.</p>
</sec>
</sec>
<sec id="s4-3">
<title>4.3 Cyclostratigraphy</title>
<sec id="s4-3-1">
<title>4.3.1 Stratigraphic power spectral analysis</title>
<p>Here we present the integrated spectral analyses of mass-specific magnetic susceptibility data, because &#x3c7; data are closely related to lithologies and sedimentary facies and only this proxy provides the best cycle interpretation in the lower K<sub>1</sub>sh (detailed information see <xref ref-type="sec" rid="s5-1">section 5.1</xref>). In the MTM power spectrum of &#x3c7; data sequence, statistically significant peaks at 113&#xa0;m, 34&#xa0;m, 13&#xa0;m and 6&#xa0;m sedimentary cycles above 95% confidence level can be distinguished (<xref ref-type="fig" rid="F5">Figure 5A</xref>). The ratio of these cycles 18.8:5.7:2.2:1 is consistent with the spectral peak ratio (18.4:5.7:2.1:1) for the astronomical periods of 405 kyr, 125 kyr, 47 kyr, and 22 kyr presented in the La2004 solution (<xref ref-type="fig" rid="F8">Figure 8A</xref>). This matching preliminarily provides an estimation of SAR of &#x223c;27.20&#x2013;27.90&#xa0;cm/kyr. The COCO tests of the &#x3c7; data suggest the optimal sediment accumulation rates (OSARs) are 21.39 and 27.72&#xa0;cm/kyr, with null H<sub>0</sub> (hypothesis) significance level &#x3c;0.001 (<xref ref-type="fig" rid="F5">Figures 5C&#x2013;E</xref>). The &#x223c;28&#xa0;cm/kyr OSAR makes those cycles identified in depth domain can be interpreted to represent the long eccentricity, short eccentricity, obliquity, and precession cycles, respectively. The frequency shifts in the EHA spectrogram (<xref ref-type="fig" rid="F5">Figure 5B</xref>) are linked to the minor peaks centered around the major peaks found in the MTM spectrogram (<xref ref-type="fig" rid="F5">Figure 5A</xref>), which may be caused by the SAR changes over the stratigraphic domain. This was quantitatively estimated by the eCOCO method, which suggests that the SARs from the lower K<sub>1</sub>sh Formation most likely varied between 20 and 40&#xa0;cm/kyr and centered on &#x223c;28&#xa0;cm/kyr (<xref ref-type="fig" rid="F5">Figures 5F, G</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Power spectra, COCO and eCOCO analysis for the &#x3c7; series of the lower K<sub>1</sub>sh Formation <bold>(A)</bold> 2&#x3c0; MTM power spectrum of the &#x3c7; series. The solid red line, dashed green, purple, and blue lines represent the 50%, 90%, 95%, and 99% confidence levels <bold>(B)</bold> Evolutive harmonic analysis (EHA) results with a sliding window of 120&#xa0;m and a step rate of 1&#xa0;m. The red to blue colors represent high to low power normalized to 1. The dashed white lines marked with E, e, O and P show the orbital long eccentricity, short eccentricity, obliquity, and precession cycles, respectively <bold>(C&#x2013;E)</bold> COCO analysis of the untuned &#x3c7; series. The results are shown as the correlation coefficient spectrum (&#x3c1;) <bold>(C)</bold>, H<sub>0</sub> (null) hypothesis test <bold>(D)</bold>, and the number of contributing astronomical frequencies (<bold>&#x23;</bold>) <bold>(E)</bold>. Tested SARs range from 1 to 100&#xa0;cm/kyr <bold>(F, G)</bold> eCOCO analysis of the untuned &#x3c7; series. The evolutionary &#x3c1; and evolutionary H<sub>0</sub> (null) hypothesis test are overlapped with SAR curves (black lines) based on 405-kyr tuning and 105-kyr tuning. Tested SARs range from 1 to 40&#xa0;cm/kyr. The sliding window size is 150&#xa0;m with a step of 1.0513&#xa0;m. For both the COCO and eCOCO, the running step of the SAR is 0.28778&#xa0;cm/kyr and the number of Monte Carlo simulations is 2000.</p>
</caption>
<graphic xlink:href="feart-11-1077787-g005.tif"/>
</fig>
<p>In addition, MTM spectral analyses were also performed on the magnetic indexes &#x3c7;<sub>ARM</sub> and SIRM (<xref ref-type="fig" rid="F6">Figures 6B, C</xref>) with a larger maximum frequency of 0.4 cycles/m. According to the above OSAR, the results of the power spectral analyses of the three magnetic parameters are shown below.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>2&#x3c0; MTM power spectra of the <bold>(A)</bold> &#x3c7; series <bold>(B)</bold> &#x3c7;<sub>ARM</sub>, and <bold>(C)</bold> SIRM series. The meanings of the colors of the solid and dashed curves are the same as those in <xref ref-type="fig" rid="F5">Figure. 5A</xref>. Prominent peaks are labeled with stratigraphic cycles in m and the interpreted periods in kyr.</p>
</caption>
<graphic xlink:href="feart-11-1077787-g006.tif"/>
</fig>
<p>The power spectrogram of &#x3c7; shows long eccentricity period at 113&#xa0;m, short eccentricity at 34&#xa0;m, obliquities at 13.2&#xa0;m, precession at 6.7 and 6.0&#xa0;m, and semi-precession at 2.67&#x2013;3.21&#xa0;m (<xref ref-type="fig" rid="F6">Figure 6A</xref>). The MTM spectrum of &#x3c7;<sub>ARM</sub> are likely to reveal 514&#xa0;kyr at 144&#xa0;m, short eccentricity at 34&#xa0;m, obliquity at 10.2&#xa0;m, precession at 5.4&#x2013;6.1&#xa0;m, and semi-precession at 2.62&#x2013;3.16&#xa0;m (<xref ref-type="fig" rid="F6">Figure 6B</xref>). The prominent peaks discerned in the SIRM power spectrum at 104&#xa0;m, 35&#xa0;m, 9.3&#xa0;m, 4.7&#x2013;6.1&#xa0;m, and 2.51&#x2013;2.89&#xa0;m correspond to the 371 kyr, short eccentricity, obliquity, precession, and semi-precession cycles, respectively (<xref ref-type="fig" rid="F6">Figure 6C</xref>). The interpreted 514-kyr cycle observed on the MTM power spectra of &#x3c7;<sub>ARM</sub> series, which is different than the 405-kyr eccentricity cycle, may be related to the variations for the SAR or the frequency decomposition of the eccentricity of the earth (<xref ref-type="bibr" rid="B43">Laskar et al., 2004</xref>).</p>
</sec>
<sec id="s4-3-2">
<title>4.3.2 Floating astronomical time scale (FATS) and sediment accumulation rates (SARs) of the lower K<sub>1</sub>sh formation</title>
<p>Due to the stability of the 405-kyr eccentricity (<xref ref-type="bibr" rid="B43">Laskar et al., 2004</xref>) and the feasibility of using the 105-kyr short eccentricity (<xref ref-type="bibr" rid="B87">Wu et al., 2012</xref>) as tuning tool throughout the Mesozoic Era, we tuned the &#x3c7; depth series to the interpreted 405-kyr (<xref ref-type="fig" rid="F7">Figures 7A, C, D</xref>) and 105-kyr cycles (<xref ref-type="fig" rid="F7">Figures 7D, E, G</xref>) respectively. The FATS established by the 405-kyr and 105-kyr tuned series estimate durations of 4,090 kyr and 4,148 kyr, respectively, both of which fall into the range of radiometric times published by <xref ref-type="bibr" rid="B50">Liu et al. (2020)</xref> (<xref ref-type="fig" rid="F1">Figure 1D</xref>). Peaks in the 405-kyr tuned &#x3c7; spectrum are at 1,300 kyr, 405 kyr, 122 kyr, 88 kyr, 48 kyr, 34 kyr, 32 kyr, 22 kyr, 17.4 kyr, 16.5 kyr, &#x223c;12&#x2013;7.9 kyr periods (<xref ref-type="fig" rid="F8">Figure 8B</xref>). The 105-kyr-tuned &#x3c7; spectrum has peaks at 1,400 kyr, 105 kyr, 34 kyr, 25 kyr, 24 kyr, 21 kyr, 19 kyr, 17 kyr, &#x223c;13.4&#x2013;9.8 kyr (<xref ref-type="fig" rid="F8">Figure 8C</xref>). Both the tuned &#x3c7; spectra are tightly concordant with the early Cretaceous astronomical parameters of long eccentricity (405 kyr), short eccentricity (124 kyr, 95 kyr), obliquity (47 kyr, 37 kyr, 36 kyr, 28 kyr), and precession (22 kyr, 21 kyr, 18 kyr) bands (<xref ref-type="fig" rid="F8">Figure 8A</xref>) (<xref ref-type="bibr" rid="B43">Laskar et al., 2004</xref>).</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Depth-time transitions of the untuned &#x3c7; series. The untuned &#x3c7; series <bold>(D)</bold> were tuned by the 405-kyr signals extracted with bandpass filter of 0.009 &#xb1; 0.002 cycles/m <bold>(C)</bold> and 105-kyr signals extracted with bandpass filter of 0.035 &#xb1; 0.007 cycles/m <bold>(E)</bold> to get the 405-kyr tuned &#x3c7; series <bold>(A)</bold> and 105-kyr tuned &#x3c7; series <bold>(G, B, F)</bold> show the sedimentation accumulation rates estimated by the 405-kyr and 105-kyr tuning processes.</p>
</caption>
<graphic xlink:href="feart-11-1077787-g007.tif"/>
</fig>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>2&#x3c0; MTM spectral analyses for <bold>(A)</bold> the orbital signals for the La2004 solution (<xref ref-type="bibr" rid="B43">Laskar et al., 2004</xref>), over the periods of 110&#x2013;120&#xa0;Ma <bold>(B)</bold> the 405-kyr tuned &#x3c7; series, and <bold>(C)</bold> the 105-kyr tuned &#x3c7; series. E1: the longer eccentricity (&#x223c;2 Myr); E2: long eccentricity; e: short eccentricity; O1: the longer obliquity (&#x223c;1.2 Myr); O2: obliquity; P: precession; P/2: semi-precession.</p>
</caption>
<graphic xlink:href="feart-11-1077787-g008.tif"/>
</fig>
<p>The SARs constrained by 405-kyr eccentricity cycles change between 26.7&#xa0;cm/kyr and 30.9&#xa0;cm/kyr, with an average of 28.1&#xa0;cm/kyr (<xref ref-type="fig" rid="F7">Figure 7B</xref>). The SARs analyzed on a scale of 105-kyr eccentricity cycles range from 18 to 40&#xa0;cm/kyr, with an average of 27.8&#xa0;cm/kyr (<xref ref-type="fig" rid="F7">Figure 7F</xref>). The high SAR in this study compared with the 6.55&#xa0;cm/kyr SAR obtained from well SS4 for the K<sub>1</sub>sh Formation (<xref ref-type="bibr" rid="B52">Liu et al., 2020</xref>) may be attributed to the frequent faulting activities in basin center during the Early Cretaceous. The SARs of 28.1&#xa0;cm/kyr and 27.8&#xa0;cm/kyr obtained by astronomical tuning (<xref ref-type="fig" rid="F7">Figures 7B, F</xref>) are basically consistent with those obtained by COCO and eCOCO analysis (<xref ref-type="fig" rid="F5">Figure 5C</xref>) of &#x223c;28&#xa0;cm/kyr, and also falls into the range calculated by radiometric ages (12.14&#x2013;46.46&#xa0;cm/kyr) (<xref ref-type="fig" rid="F1">Figure 1D</xref>). These results provide conclusive evidence for the cyclostratigraphic interpretation based on the &#x3c7; data.</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="s5">
<title>5 Discussion</title>
<sec id="s5-1">
<title>5.1 Magnetic susceptibility as paleoenvironmental proxy</title>
<p>The statistical analysis aims to discover the correlations between lithology and magnetic susceptibility in our specimens. The lithological ranks were distinguished by the &#x3c7; values. Except for the sandy conglomerate (rank &#x3d; 9) showing a normal distribution, all the other lithological ranks show skewed distributions. The &#x3c7; distributions of mudstone (rank &#x3d; 1), silty mudstone (rank &#x3d; 2), fine sandstone (rank &#x3d; 5), coarse sandstone (rank &#x3d; 6), gravel-bearing fine sandstone and gravel-bearing coarse sandstone (rank &#x3d; 7 and 8) are positively skewed, while the &#x3c7; distributions of muddy siltstone and siltstone (rank &#x3d; 3 and 4) and conglomerate (rank &#x3d; 10) are negatively skewed (<xref ref-type="fig" rid="F2">Figure 2A</xref>). This indicates that &#x3c7; for all lithological ranks is fairly concentrated. Except for the outliers of lithological ranks of 7&#x2013;10, fine mudstones has the highest &#x3c7; values, coarse sandstones has the lowest (<xref ref-type="fig" rid="F2">Figure 2B</xref>). This inverse correlation within the range of 1&#x2013;6 proves that the &#x3c7; data for the lacustrine faces of the lower K<sub>1</sub>sh Formation is a reliable and continuous proxy for the lithological ranks, and consequently for paleoenvironmental change.</p>
<p>The sedimentary facies of the investigated K<sub>1</sub>sh section can be determined as three major development phases (<xref ref-type="fig" rid="F3">Figure 3</xref>): 1) The Subset 1 contains thick conglomerates with higher magnetic parameters over the dark grey mudstones in the bottom, indicating a fan-delta phase evolved from the lake phase due to the strong rifting in SB. 2) The Subset 2 is dominated by lake deposits, which exhibits a humid climate and a weak hydrodynamic environment, with a propensity for shallowing upward in the bottom portion and deepening upward in the upper part. 3) The Subset 3 begins with a minor tectonic activity, which is followed by a lake environment that is shallowing upward. Coal seam intercalations suggest a lake-swamp plain facies. Conglomerates and coarse sands are evidence of advancing fan-delta phases with a decline in base level and lake recession due to increased aridity. In contrast, an expanding lakeshore with a rise in base level and higher humidity produces fine sands, silts, muds, and coal.</p>
<p>The rock magnetic characteristics of the representative samples demonstrate the main magnetic carriers of the lower K<sub>1</sub>sh Formation are lower coercivity PSD ferrimagnetic magnetite particles and a small amount of high coercivity hematite (<xref ref-type="fig" rid="F4">Figure 4</xref>). The fact that the &#x3c7;<sub>ARM</sub> and SIRM series and the lake level are coherently fluctuating with &#x3c7; series (<xref ref-type="fig" rid="F3">Figures 3B&#x2013;E</xref>) suggests that &#x3c7; is dominated by fine-grained ferrimagnetic magnetite minerals and can be used for the paleoenvironmental changes reconstruction. Since only &#x3c7; exhibits all astronomical periods on its power spectrum (<xref ref-type="fig" rid="F6">Figure 6A</xref>), &#x3c7; is ultimately selected as the proxy for the subsequent temporal calibration.</p>
</sec>
<sec id="s5-2">
<title>5.2 Astronomically forced paleoclimate and paleoenvironment changes in Early Cretaceous Songliao Basin</title>
<p>Lacustrine sediments provide ideal geologic materials for studying climate cycles caused by orbital forcing. It has been evidenced that Milankovitch cycles, particularly long and short eccentricity cycles can be widely detected in global lacustrine sedimentary records (<xref ref-type="bibr" rid="B37">Kent and Clemmensen, 1996</xref>; <xref ref-type="bibr" rid="B38">Kent and Olsen, 1999</xref>; <xref ref-type="bibr" rid="B60">Olsen et al., 2003</xref>; <xref ref-type="bibr" rid="B90">Wu et al., 2009</xref>; <xref ref-type="bibr" rid="B89">2013a</xref>; <xref ref-type="bibr" rid="B88">2014</xref>; <xref ref-type="bibr" rid="B13">Deenen et al., 2010</xref>; <xref ref-type="bibr" rid="B49">Li et al., 2017</xref>; <xref ref-type="bibr" rid="B92">Xu et al., 2019</xref>; <xref ref-type="bibr" rid="B98">Zhang et al., 2019</xref>; <xref ref-type="bibr" rid="B15">Du et al., 2020</xref>). <xref ref-type="bibr" rid="B60">Olsen et al. (2003)</xref> proposed that deep lake facies containing dark shales correspond to the maximum eccentricity in the Newark Basin, North America, while sub-aerial deposition of red mudstones was developed during the low eccentricity period. This agrees with the sedimentary model that the lacustrine/alluvial facies in the Green River Basin coincided with the maximum/minimum eccentricity periods, which was validated by <xref ref-type="bibr" rid="B69">Smith et al. (2010)</xref> and <xref ref-type="bibr" rid="B5">Aswasereelert et al. (2013)</xref>.</p>
<p>Among the multi-proxies used in this study, &#x3c7; is the best indicator, because it can detect the Milankovitch signals completely, continuously and accurately (<xref ref-type="fig" rid="F5">Figures 5A</xref>, <xref ref-type="fig" rid="F6">6A</xref>). Two sets of Gaussian bandpass filters for long eccentricity (113&#xa0;m) and short eccentricity (34&#xa0;m) were applied to filter &#x3c7; throughout the study interval (<xref ref-type="fig" rid="F9">Figure 9A</xref>). Coal seams are typically matched with the maximum of short eccentricity cycle, while coarse-grained sediments are matched with the lowest value of long eccentricity cycles (<xref ref-type="fig" rid="F9">Figure 9A</xref>). This proves that the presence of coarse clastic sediments such as sandstones is likely due to low lake level with low rainfall, which generated in the low eccentricity and low insolation periods. The coal deposition occurred during a period of high 105-kyr eccentricity, indicating that the sediment was developed under warm, humid, and vegetated environments with high precipitation and high lake level.</p>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>
<bold>(A)</bold> Depositional facies, lithological ranks, and &#x3c7; data in depth domain of the lower K<sub>1</sub>sh, with the interpreted 405-kyr and 100-kyr cyclic signals. The Gaussian bandpass filters set for the interpreted 405-kyr (red) and 105-kyr (blue) cycles were 0.009 &#xb1; 0.002 cycles/m and 0.035 &#xb1; 0.007 cycles/m, respectively. Red &#x201c;E<sub>405</sub>&#x201d; represents 405-kyr long eccentricity, blue &#x201c;e&#x201d; represents &#x223c;105-kyr short eccentricity <bold>(B)</bold> Upper part: 2&#x3c0; MTM power spectrum and the precession signals in 4,542&#x2013;4,740&#xa0;m interval with its amplitude modulation, the interpreted precession cycles (purple) were extracted with a passband of 0.15 &#xb1; 0.007 cycles/m; lower part: 2&#x3c0; MTM power spectrum and the precession signals in 4,918&#x2013;5,380&#xa0;m interval with its amplitude modulation, precession cycles (purple) were extracted with a passband of 0.166 &#xb1; 0.003 cycles/m <bold>(C)</bold> The precession and semi-precession cycles of &#x3c7; data of 4,650&#x2013;4,670&#xa0;m interval. Passband width of precession cycles (solid purple) was the same as <bold>(B)</bold>, passband of 0.319 &#xb1; 0.003 cycles/m was applied to obtain the semi-precession cycles (dashed green). The yellow shades represent 4,542&#x2013;4,740&#xa0;m and 4,918&#x2013;5,380&#xa0;m intervals, the sand shades represent 4,650&#x2013;4,670&#xa0;m interval. Black dashed lines associate the coal seams with the 105-kyr filtering maximum.</p>
</caption>
<graphic xlink:href="feart-11-1077787-g009.tif"/>
</fig>
<p>Precession signals with wavelength of 6.68&#xa0;m and 6.01&#xa0;m are highly visible between &#x223c;4,740&#x2013;4,542&#xa0;m and &#x223c;5,380&#x2013;4,918&#xa0;m intervals, respectively (<xref ref-type="fig" rid="F9">Figure 9B</xref>). The AM analyses indicate that &#x223c;4-6 precession cycles were modulated by one envelope cycle, which is consistent with the 5:1 ratio of short eccentricity cycles to precession cycles (<xref ref-type="fig" rid="F9">Figure 9B</xref>). This is in line with the depositional model in the Newark Basin, and suggest that the lake level is forced by precession cycles that is modulated by the short eccentricity cycles (<xref ref-type="bibr" rid="B60">Olsen et al., 2003</xref>; <xref ref-type="bibr" rid="B39">Kent et al., 2017</xref>), confirming the astronomic origin of the high frequency cycles found in the study interval.</p>
<p>High-resolution laminated interbedded sandstone-mudstone alterations are regularly cycled between 4,650 and 4,670&#xa0;m in lake deposition facies (<xref ref-type="fig" rid="F9">Figures 9B, C</xref>). This suggests that the seasonality controlled by precession influences summer precipitation and is supposed to be the main driving mechanism for lake level oscillation and paleoenvironment variations (<xref ref-type="bibr" rid="B57">Morrill et al., 2001</xref>). When the Earth moves to perihelion at the summer solstice for the Northern Hemisphere, the strong seasonality (i.e., hot summer and cool winter) increases rainfall in summer, which leads to a high lake level that favors mudstone deposition. Alternatively, the perihelion occurs at boreal winter solstice (i.e., aphelion occurs at boreal summer solstice), the weak seasonality favors the deposits of coarse clastic sediments in cool summer.</p>
</sec>
<sec id="s5-3">
<title>5.3 Possible origins of the semi-precession cycles</title>
<p>Litho-phase alternations combined with the precession and semi-precession signals (<xref ref-type="fig" rid="F9">Figure 9C</xref>), untuned &#x3c7; spectrum (<xref ref-type="fig" rid="F6">Figures 6A</xref>, <xref ref-type="fig" rid="F9">9B</xref>), and tuned &#x3c7; spectra (<xref ref-type="fig" rid="F8">Figures 8B, C</xref>) all reveal the presence of semi-precession cycles in the interval studied. Semi-precession forcing of lacustrine deposition has already been demonstrated from the Late Triassic-Early Jurassic Newark Basin (<xref ref-type="bibr" rid="B61">Olsen and Kent, 1996</xref>) and the early Eocene Green River Basin, North America (<xref ref-type="bibr" rid="B63">Pietras et al., 2003</xref>). The semi-precession peaks observed in the 405-kyr and 105-kyr tuned &#x3c7; spectra (<xref ref-type="fig" rid="F8">Figures 8B, C</xref>) are not observed in the power spectrum of the La2004 solution (<xref ref-type="fig" rid="F8">Figure 8A</xref>). It may indicate that the &#x223c;10-kyr signals are non-linear climatic responses to the Milankovitch insolation forcing during this period. AM analysis was applied to the semi-precession signals derived from the 405-kyr tuned &#x3c7; series to investigate the non-linear link between the interpreted semi-precession cycle and Milankovitch cycles (<xref ref-type="fig" rid="F10">Figure 10C</xref>). The MTM power spectrum of the AM envelope curve reveals peaks at 23 kyr, 33 kyr, 47 kyr, 55 kyr, 68 kyr, 84 kyr, and 110 kyr (<xref ref-type="fig" rid="F10">Figure 10E</xref>), indicating that precession, obliquity, and eccentricity cycles impacted the semi-precession cycles indirectly. Furthermore, we also performed AM envelope to the precession (<xref ref-type="fig" rid="F10">Figure 10B</xref>) which is regarded as the modulator of semi-precession cycles. The MTM power spectrum of precession AM analysis curve demonstrates that the semi-precession cycles were additionally influenced by &#x223c;400 kyr and &#x223c;1 Myr long eccentricity cycles (<xref ref-type="fig" rid="F10">Figure 10D</xref>).</p>
<fig id="F10" position="float">
<label>FIGURE 10</label>
<caption>
<p>Amplitude modulations of the <bold>(C)</bold> semi-precession and <bold>(B)</bold> precession signals from the 405-kyr tuned &#x3c7; series <bold>(A)</bold>, and the corresponding 2&#x3c0; MTM spectra of the individual amplitude modulation curve <bold>(D, E)</bold>.</p>
</caption>
<graphic xlink:href="feart-11-1077787-g010.tif"/>
</fig>
<p>It is well-known that semi-precession is a rather sensitive signal in tropical regions, which is modulated by precession, as the Sun passes the equator twice annually (<xref ref-type="bibr" rid="B74">Verschuren et al., 2009</xref>; <xref ref-type="bibr" rid="B3">Anderson, 2011</xref>; <xref ref-type="bibr" rid="B72">Ulfers et al., 2022</xref>). Monsoonal amplifications caused by the maximum summer insolation gradient in both hemispheres appear to be the origin of semi-precession forcing in low latitudes (<xref ref-type="bibr" rid="B74">Verschuren et al., 2009</xref>; <xref ref-type="bibr" rid="B12">De Vleeschouwer et al., 2012</xref>; <xref ref-type="bibr" rid="B36">Jian et al., 2020</xref>). However, SB located at the mid-latitudes of the Northern Hemisphere in the Early Cretaceous also captured the semi-precession signals. This supports the theory mentioned by previous research that the heat and energy advective processes play a considerable role in transferring this sub-Milankovitch signal from low latitudes to high latitudes (<xref ref-type="bibr" rid="B55">McIntyre et al., 1989</xref>; <xref ref-type="bibr" rid="B67">Short et al., 1991</xref>). This causes the tropical pattern to occur in the northern temperate paleoenvironment as well. The flux of magnetic material not only reaches its maximum during precession minima but also intensifies during precession maxima (<xref ref-type="bibr" rid="B12">De Vleeschouwer et al., 2012</xref>). Low summer insolation received for northern hemisphere when the Earth moves near perihelion at equinoxes weakens the corresponding rainy season (<xref ref-type="bibr" rid="B7">Berger et al., 2006</xref>; <xref ref-type="bibr" rid="B74">Verschuren et al., 2009</xref>). We speculate that teleconnections such as atmospheric circulation and ocean current dynamics can explain how this sub-Milankovitch cycle is transmitted from low to high latitudes (<xref ref-type="bibr" rid="B6">Berger and Loutre, 1991</xref>; <xref ref-type="bibr" rid="B67">Short et al., 1991</xref>; <xref ref-type="bibr" rid="B30">Hagelberg et al., 1994</xref>; <xref ref-type="bibr" rid="B4">Arz et al., 1998</xref>; <xref ref-type="bibr" rid="B72">Ulfers et al., 2022</xref>). Furthermore, the detailed mechanism of climate or whether the semi-precession force is the direct high-latitude reaction still needs more extensive geologic data and model simulation at various sites located at different latitudes.</p>
</sec>
</sec>
<sec sec-type="conclusion" id="s6">
<title>6 Conclusion</title>
<p>
<list list-type="simple">
<list-item>
<p>(1) Low coercivity ferrimagnetic magnetite is the dominant magnetic mineral with the minor presence of hematite in sediments of the lower K<sub>1</sub>sh. Given the prominent relationship between lithological ranks and magnetic susceptibility, the mudstones have higher &#x3c7; values than sandstones, the differences in magnetic concentrations in the sediments are most likely caused by variations in hydrodynamic conditions (e.g., changes in lake level) caused by climate change. Therefore, magnetic susceptibility can be used as an alternative and reliable proxy for cyclostratigraphic studies to reflect the changes in paleoenvironment and paleoclimate in the Early Cretaceous SB.</p>
</list-item>
<list-item>
<p>(2) Cyclostratigraphic study indicates that the sedimentation environment of the lower K1sh was forced by multiscale astronomical orbital parameters. It suggests that long and short eccentricity controlled the litho-facies, with coarse detrital sediments deposited during the minima of long eccentricity, and coal seams developing during the maximum of short eccentricity. Meanwhile, precession and semi-precession cycles were the potential factors affecting the lake level. In particular, the mudstone-sandstone alternations are most likely controlled by the semi-precession cycles.</p>
</list-item>
<list-item>
<p>(3) The duration of the 4542&#x2013;5695&#xa0;m interval of lower K1sh is estimated as 4,090 kyr&#x2013;4,148 kyr, which is consistent with the radiometric range of 118.2&#x2013;113.9&#xa0;Ma, providing a basis for the future correlation of stratigraphic evolution and geological events between marine and land systems. The estimated sedimentary accumulation rate of &#x223c;28&#xa0;cm/kyr, may support an abundant supply of sediments to the lake basin during the K<sub>1</sub>sh deposition period.</p>
</list-item>
</list>
</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s7">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s12">Supplementary Material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s8">
<title>Author contributions</title>
<p>HW created the research. SZ measured the data and performed the analyses and modeling. SZ and HW wrote the manuscript. All authors contributed to data interpretation and made important contributions to the final publication.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>This work was supported by the National Key R&#x26;D Program of China (Grant No. 2019YFC0605403), the National Natural Science Foundation of China (Grant Nos. 41790451, 41688103 and 41925010), and the 111 project (Grant No. B20011).</p>
</sec>
<ack>
<p>We sincerely appreciate the editor KPK and two reviewers for their constructive comments that significantly improved the manuscript. We are thankful to WH, RC, and QFG for their suggestions. We also thank XM, CR, HW, XC, YJ, and ZW for their help in the field.</p>
</ack>
<sec sec-type="COI-statement" id="s10">
<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="s11">
<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>
<sec id="s12">
<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.2023.1077787/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/feart.2023.1077787/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.ZIP" id="SM1" mimetype="application/ZIP" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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