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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">1125302</article-id>
<article-id pub-id-type="doi">10.3389/feart.2023.1125302</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Earth Science</subject>
<subj-group>
<subject>Brief Research Report</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Rapid environmental changes in the Lake Qinghai basin during the late Holocene</article-title>
<alt-title alt-title-type="left-running-head">Wang 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.2023.1125302">10.3389/feart.2023.1125302</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Chen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1859488/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Qiu</surname>
<given-names>Yahui</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fan</surname>
<given-names>Fenglei</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1167749/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Baosheng</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Niu</surname>
<given-names>Dongfeng</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Shu</surname>
<given-names>Peixian</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
<xref ref-type="aff" rid="aff9">
<sup>9</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1282566/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>School of Ecology and Environment</institution>, <institution>Tibet University</institution>, <addr-line>Lhasa</addr-line>, <addr-line>Tibet</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>School of Cultural Heritage</institution>, <institution>Northwest University</institution>, <addr-line>Xi&#x2019;an</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Ministry of Education Key Laboratory of Cultural Heritage Studies and Conservation</institution>, <institution>Northwest University</institution>, <addr-line>Xi&#x2019;an</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Joint Laboratory of Plateau Surface Remote Sensing</institution>, <institution>Tibet University</institution>, <addr-line>Lhasa</addr-line>, <addr-line>Tibet</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>School of Geography</institution>, <institution>South China Normal University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>School of Geography</institution>, <institution>Lingnan Normal University</institution>, <addr-line>Zhanjiang</addr-line>, <country>China</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>State Key Laboratory of Loess and Quaternary Geology</institution>, <institution>Institute of Earth Environment</institution>, <institution>Chinese Academy of Sciences</institution>, <addr-line>Xi&#x2019;an</addr-line>, <country>China</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Center for Excellence in Quaternary Science and Global Change</institution>, <institution>Chinese Academy of Sciences</institution>, <addr-line>Xi&#x2019;an</addr-line>, <country>China</country>
</aff>
<aff id="aff9">
<sup>9</sup>
<institution>Shaanxi Key Laboratory of Accelerator Mass Spectrometry Technology and Application</institution>, <addr-line>Xi&#x2019;an</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/1142875/overview">Zhuolun Li</ext-link>, Lanzhou 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/1698586/overview">Jingran Zhang</ext-link>, Nanjing Normal University, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1952942/overview">Jiawei Fan</ext-link>, China Earthquake Administration, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Peixian Shu, <email>shupx@ieecas.cn</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>30</day>
<month>05</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>11</volume>
<elocation-id>1125302</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>12</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>05</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Wang, Qiu, Fan, Li, Niu and Shu.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Wang, Qiu, Fan, Li, Niu and Shu</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 Lake Qinghai Basin is sensitive to global and regional climate change because of its unique geographical location. It is the hotspot for paleoclimate research in East Asia. In this study, we reconstructed the environmental evolution of the Lake Qinghai since &#x223c;9&#xa0;ka by using a high-resolution peat and fluvial-lacustrine record (Laoyinggou profile) obtained at the foot of Nanshan Mountain. Based on 8 AMS<sup>14</sup>C dates and lithology, loss on ignition (LOI), total organic matter (TOC), X-ray fluorescence (XRF) core-scanning measurements, ratio of total organic carbon to nitrogen (TOC/TN), and sediment particle sorting coefficients, we show that during the Middle Holocene (&#x223c;9&#x2013;4.4&#xa0;ka BP) this region was primarily dominated by the Asian summer monsoon, with a consistent, warm, and humid environment. By contrast, during the late Holocene (4.4&#xa0;ka to present), the climatic context in this area fluctuated dramatically at the millennial scales. The low TOC content, lower TOC/TN ration and strong hydroclimatic indicate six rapid climate change events, which occurred at &#x223c;4.0&#xa0;ka, &#x223c;3.6&#xa0;ka, &#x223c;3.2&#xa0;ka, &#x223c;2.8&#xa0;ka, &#x223c;2.1&#xa0;ka, and &#x223c;1.4&#xa0;ka, all of which coincided to cold episodes in the North Atlantic Ocean.</p>
</abstract>
<kwd-group>
<kwd>Lake Qinghai basin</kwd>
<kwd>high-resolution record</kwd>
<kwd>rapid climate change (RCC)</kwd>
<kwd>late Holocene</kwd>
<kwd>cold events</kwd>
</kwd-group>
<contract-num rid="cn001">42030512 42102237</contract-num>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Quaternary Science, Geomorphology and Paleoenvironment</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>The Holocene climate was generally warm and stable at the orbital scale, but numerous studies have demonstrated that the instability of the climate during the Holocene was associated with a number of rapid climate change (RCC) events at the millennial-centennial scales (<xref ref-type="bibr" rid="B7">Bond et al., 1997</xref>; <xref ref-type="bibr" rid="B8">Bond et al., 2001</xref>; <xref ref-type="bibr" rid="B61">Wang et al., 2005</xref>). These RCC events are mainly characterized by cooling in the mid-high latitudes of the Northern Hemisphere and drought in the low-latitude monsoon regions. Paleoclimate communities have comprehensively studied the 8.2 thousand years (ka) event (<xref ref-type="bibr" rid="B2">Alley et al., 1997</xref>; <xref ref-type="bibr" rid="B1">Alley and Agustsdottir, 2005</xref>) and 4.2 ka event (<xref ref-type="bibr" rid="B64">Weiss, 2019</xref>; <xref ref-type="bibr" rid="B59">Utida et al., 2020</xref>; <xref ref-type="bibr" rid="B5">An et al., 2021</xref>), recognized 2 climate anomalies globally. These 2 RCC events as time nodes could be divided into Early Holocene (11.5&#x2013;8.2 ka), Middle Holocene (8.2&#x2013;4.2 ka) and Late Holocene (4.2 ka to precent) (<xref ref-type="bibr" rid="B70">Zanchetta et al., 2016</xref>; <xref ref-type="bibr" rid="B50">Ran and Chen, 2019</xref>; <xref ref-type="bibr" rid="B60">Walker et al., 2019</xref>).</p>
<p>Lake Qinghai, the largest inland lake in China, is located on the northeastern margin of the Qinghai-Tibet Plateau (<xref ref-type="bibr" rid="B4">An et al., 2012</xref>). It is located at the front of the Asian summer monsoon and has a high altitude, which makes it very sensitive to the climate change of the East Asian monsoon, Indian monsoon and westerly belt, and has become the hot spot for studying the interaction of these paleoclimate systems (<xref ref-type="bibr" rid="B37">Lister et al., 1991</xref>; <xref ref-type="bibr" rid="B54">Shen et al., 2005</xref>; <xref ref-type="bibr" rid="B4">An et al., 2012</xref>; <xref ref-type="bibr" rid="B40">Liu et al., 2014</xref>; <xref ref-type="bibr" rid="B58">Thomas et al., 2014</xref>). In the past few decades, many scholars have done a lot of studies on the paleoclimate and environmental evolution of the sediments in the Lake Qinghai Basin. <xref ref-type="bibr" rid="B4">An et al. (2012)</xref> revealed that the cold-dry events around 11.0 ka, 10.3 ka, 9.3 ka, 7.2 ka and 5.5 ka, and suggested that the millennial-scale climate change in the Lake Qinghai during the Holocene reflects that Summer Monsoon Index (SMI) variability may be linked to North Atlantic abrupt events associated with the Atlantic&#x2019;s overturning circulation and sea-ice variations, freshwater forcing played a prominent role in millennial scale climate change. Furthermore, weak monsoon events in the SMI sequence can be correlated with many of the intervals of low solar activity (<xref ref-type="bibr" rid="B4">An et al., 2012</xref>). <xref ref-type="bibr" rid="B30">Ji et al. (2005)</xref> argued that the 8.2 ka event and the Little Ice Age event were recorded in the Lake Qinghai sediments. <xref ref-type="bibr" rid="B63">Wang et al. (2015)</xref> reconstructed the palaeotemperature of the Lake Qinghai using long chain alkenones, exhibits 10.4 ka and 8.8 ka rapid climate changes. Besides lake sediments, aeolian sand and loess surrounding Lake Qinghai areas also record the rapid climate change during the Holocene (<xref ref-type="bibr" rid="B44">Lu et al., 2010</xref>; <xref ref-type="bibr" rid="B39">Liu et al., 2012</xref>; <xref ref-type="bibr" rid="B53">Shang et al., 2013</xref>; <xref ref-type="bibr" rid="B20">E et al., 2015</xref>; <xref ref-type="bibr" rid="B45">Lu et al., 2015</xref>; <xref ref-type="bibr" rid="B18">Ding et al., 2019</xref>; <xref ref-type="bibr" rid="B21">E et al., 2019</xref>; <xref ref-type="bibr" rid="B67">Yang et al., 2019</xref>). For example, the eastern sandy land of the Lake Qinghai has obvious response to 9.4 ka, 8.2 ka and 4 ka cold events (<xref ref-type="bibr" rid="B42">Liu, 2013</xref>; <xref ref-type="bibr" rid="B46">Lv, 2018</xref>).</p>
<p>Recently, <xref ref-type="bibr" rid="B68">Yang et al. (2021)</xref> analyzed the stable isotope record of the Delingha tree rings on the western side of the Lake Qinghai, providing high-resolution Holocene paleoclimate data for the region (<xref ref-type="bibr" rid="B68">Yang et al., 2021</xref>). According to <xref ref-type="bibr" rid="B69">Yang et al. (2022)</xref> the record does not reflect a significant hydroclimatic transition event occurring around 4.2 ka (<xref ref-type="bibr" rid="B69">Yang et al., 2022</xref>). However, <xref ref-type="bibr" rid="B65">Weiss (2022)</xref> argued that Delingha tree rings recorded the 4.2 ka event. Therefore, how many Holocene abrupt climate events existed in the Lake Qinghai Basin, especially whether there was a 4.2 ka event, still need more paleoclimatic records to discuss.</p>
<p>Peat has a high content of organic matter, and radiocarbon (<sup>14</sup>C) dating of peat, which is not easy to be affected by the hard water effect, and can provide independent age-paleoclimatic information different from saltwater lake deposition and eolian deposition records (<xref ref-type="bibr" rid="B23">Geyh et al., 1997</xref>; <xref ref-type="bibr" rid="B25">Hatt&#xe9; et al., 2001</xref>; <xref ref-type="bibr" rid="B62">Wang et al., 2014</xref>; <xref ref-type="bibr" rid="B72">Zhou et al., 2022</xref>). As a result, peat is convenient and accurate for <sup>14</sup>C dating in paleoclimatology research. In addition, peat deposition has good continuity and high resolution, and a variety of indicators can interpret rich environmental information. Thus, the change of peat deposition comprehensively reflects the change of sedimentary environment and hydrological conditions. To date, However, there exists a limited number of studies linked to the rapid change in climate and hydrological conditions within the Holocene of the Lake Qinghai Basin, utilizing peat as a means of paleoclimatology study. Given this, we selected to utilize the Laoyinggou (LYG) peat deposition profile situated at the northern base of Nanshan Mountain in the southwestern region of Lake Qinghai to reconstruct climate variations dating back to 9 ka BP.</p>
</sec>
<sec id="s2">
<title>2 Study area</title>
<p>The Lake Qinghai Basin is located in the northeastern part of the Qinghai-Tibet Plateau (<xref ref-type="fig" rid="F1">Figure 1</xref>), with an altitude of 3,100&#x2013;4,755 m, surrounded by the Datong Mountains in the north, the Riyue Mountains in the east and the Nanshan Mountains in the southwest, covering a total area of 29,000 square kilometers. The climate is plateau continental climate, winter is cold and long, summer is cool and short, and spring is windy with sandstorms, less rainfall, wet and dry seasons are clear. The basin has a variety of habitats, including alpine shrub, cold temperate coniferous forest, temperate grassland, alpine meadow, marsh meadow and sandy vegetation, etc. (<xref ref-type="bibr" rid="B14">Chen, 1993</xref>; <xref ref-type="bibr" rid="B13">Chen et al., 2011</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Physiographical map of the study site (red solid star, LYG profile, 36&#xb0;32&#x2018;05.07&#x2033;N, 100&#xb0;18&#x2032;15.95&#x2033;E, 3438&#xa0;m). <bold>(A)</bold> Overview map showing locations of the Lake Qinghai Basin, and the dominant circulation systems of the westerlies and the Asian monsoon.; <bold>(B)</bold> Monthly mean precipitation and temperature changes from 1959 to 2015 (<xref ref-type="bibr" rid="B17">Ding et al., 2018</xref>); <bold>(C)</bold> Location of Lake Qinghai and the LYG profile site.</p>
</caption>
<graphic xlink:href="feart-11-1125302-g001.tif"/>
</fig>
</sec>
<sec sec-type="materials|methods" id="s3">
<title>3 Materials and methods</title>
<p>LYG profile (<xref ref-type="fig" rid="F1">Figure 1</xref>; <xref ref-type="fig" rid="F2">Figure 2</xref>) is located on the east bank of a tributary extending southward from Jiangxi Gully on the southern bank of the Lake Qinghai. This profile is a peat and fluvial-lacustrine deposit cut by a modern river, the coordinates are 36&#xb0;32&#x2018;05.07&#x2033;N, 100&#xb0;18&#x2032;15.95&#x2033;E, the altitude is 3438&#xa0;m, and the linear distance from the modern Lake Qinghai shoreline is 13&#x2013;15&#xa0;km. The profile is 300&#xa0;cm thick and can be divided into the two parts according to lithology.<list list-type="simple">
<list-item>
<p>0&#x2013;135&#xa0;cm, visible obvious plant roots at the top, black to brown sandy clayey silt, peat layer containing more humus plants, which can be divided into the following layers.</p>
<list list-type="simple">
<list-item>
<p>0&#x2013;30&#xa0;cm: brownish meadow soil with clayey sandy silt, with more grass roots and occasional shrub roots.</p>
</list-item>
<list-item>
<p>31&#x2013;40&#xa0;cm: brownish-black clayey sandy silt.</p>
</list-item>
<list-item>
<p>41&#x2013;55&#xa0;cm: black peat layer, with many humus plants.</p>
</list-item>
<list-item>
<p>56&#x2013;90&#xa0;cm: brownish-gray sandy clayey silt, with thin layers of peat at 65&#xa0;cm, 82&#xa0;cm.</p>
</list-item>
<list-item>
<p>91&#x2013;105&#xa0;cm: black peat layer, mostly humus.</p>
</list-item>
<list-item>
<p>106&#x2013;115&#xa0;cm: brownish gray sandy clayey silt, weakly developed soil aggregates, brownish patches visible.</p>
</list-item>
<list-item>
<p>116&#x2013;125&#xa0;cm: light grey clayey sandy silt.</p>
</list-item>
<list-item>
<p>126&#x2013;135&#xa0;cm: black peat layer with mostly humus plants.</p>
</list-item>
</list>
</list-item>
<list-item>
<p>136&#x2013;300&#xa0;cm: black-brown to grayish-yellow, gravelly clayey sandy silt, which can be divided into the following layers.</p>
<list list-type="simple">
<list-item>
<p>136&#x2013;155&#xa0;cm: black-brown gravelly sandy clayey silt with weakly developed soil.</p>
</list-item>
<list-item>
<p>156&#x2013;175&#xa0;cm: grayish-yellow clayey sandy silt, sand with fine gravels, interspersed with black organic matter layer, oxidized plant roots visible, weakly developed soil-on lacustrine sediments.</p>
</list-item>
<list-item>
<p>176&#x2013;285&#xa0;cm: brownish-black gravelly sandy clayey silt with gravels.</p>
</list-item>
<list-item>
<p>286&#x2013;300&#xa0;cm: grayish-white clayey sandy silt.</p>
</list-item>
</list>
</list-item>
</list>
</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>The Stratigraphic framework of the LYG profile.</p>
</caption>
<graphic xlink:href="feart-11-1125302-g002.tif"/>
</fig>
<p>Before sampling, we cleaned the surface layer of the profile, and removed 5&#x2013;10&#xa0;cm of soil on its surface to expose the fresh profile, and then used the columnar stainless-steel groove to sample, so that the complete and continuous samples were taken, which was convenient for the X-ray fluorescence (XRF) scanning analysis. The core samples were divided at 1&#xa0;cm intervals in the laboratory. Samples 101 and 102 (at the depths of 101 and 102&#xa0;cm) are missing due to compression.</p>
<sec id="s3-1">
<title>3.1 Chronology</title>
<p>We selected organic matter samples from 6 horizons, plant residues and freshwater snail shells from 3 horizons in the LYG profile to conduct Accelerator Mass Spectrometry (AMS) <sup>14</sup>C dating. The results are shown in <xref ref-type="table" rid="T1">Table 1</xref>. The results of AMS <sup>14</sup>C dates were calibrated with IntCal 20 dataset in Calib 8.1 program with 2 sigma uncertainty. The AMS <sup>14</sup>C dating of the LYG sediment profile was conducted by the BETA Laboratory and Xi&#x2019;an-AMS Center.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>AMS<sup>14</sup>C dates of LYG profile.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="center">Sample number</th>
<th rowspan="2" align="center">Depth (cm)</th>
<th rowspan="2" align="center">Laboratory number</th>
<th rowspan="2" align="center">Dating material</th>
<th rowspan="2" align="center">
<sup>14</sup>C age (a B.P.)</th>
<th align="center">Calibration age</th>
</tr>
<tr>
<th align="center">(Cal.a B.P., 2&#x3c3; error)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">LYG005</td>
<td align="center">5</td>
<td align="center">Beta532345</td>
<td align="center">Organic matter</td>
<td align="center">Post-Bomb data</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">LYG040</td>
<td align="center">40</td>
<td align="center">Beta532346</td>
<td align="center">peat</td>
<td align="center">1980 &#xb1; 30</td>
<td align="center">1860&#x2013;1950</td>
</tr>
<tr>
<td align="center">LYG095</td>
<td align="center">95</td>
<td align="center">Beta532347</td>
<td align="center">peat</td>
<td align="center">3110 &#xb1; 30</td>
<td align="center">3230&#x2013;3390</td>
</tr>
<tr>
<td align="center">LYG105</td>
<td align="center">105</td>
<td align="center">Beta532348</td>
<td align="center">Organic matter</td>
<td align="center">3480 &#xb1; 30</td>
<td align="center">3690&#x2013;3840</td>
</tr>
<tr>
<td align="center">LYG160</td>
<td align="center">160</td>
<td align="center">Beta532349</td>
<td align="center">Organic matter</td>
<td align="center">7330 &#xb1; 30</td>
<td align="center">8030&#x2013;8180</td>
</tr>
<tr>
<td align="center">LYG190</td>
<td align="center">190</td>
<td align="center">Beta532350</td>
<td align="center">Organic matter</td>
<td align="center">3290 &#xb1; 30</td>
<td align="center">3450&#x2013;3570</td>
</tr>
<tr>
<td align="center">LYG190</td>
<td align="center">190</td>
<td align="center">XA23475</td>
<td align="center">Plant residue</td>
<td align="center">3520 &#xb1; 45</td>
<td align="center">3690&#x2013;3920</td>
</tr>
<tr>
<td align="center">LYG207</td>
<td align="center">207</td>
<td align="center">XA23476</td>
<td align="center">Plant residue</td>
<td align="center">5710 &#xb1; 40</td>
<td align="center">6400&#x2013;6570</td>
</tr>
<tr>
<td align="center">LYG240</td>
<td align="center">240</td>
<td align="center">XA23548</td>
<td align="center">Snail shell</td>
<td align="center">8360 &#xb1; 60</td>
<td align="center">9260&#x2013;9500</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-2">
<title>3.2 Sediment analysis</title>
<p>Loss on ignition (LOI) measurements were determined at 1&#xa0;cm intervals using KSL-1000X-M, weighed the appropriate amount of samples in the crucible, set 550&#xa0;&#xb0;C burning 3&#xa0;h (<xref ref-type="bibr" rid="B26">Heiri et al., 2001</xref>; <xref ref-type="bibr" rid="B52">Santisteban et al., 2004</xref>). Elemental measurements were determined at 1&#xa0;cm intervals using an Avaatech XRF scanner (<xref ref-type="bibr" rid="B51">Richter et al., 2006</xref>; <xref ref-type="bibr" rid="B36">Liang et al., 2012</xref>; <xref ref-type="bibr" rid="B16">Davies et al., 2015</xref>; <xref ref-type="bibr" rid="B56">Sun et al., 2016</xref>; <xref ref-type="bibr" rid="B24">Guo et al., 2021</xref>). TOC concentrations were measured at 4&#xa0;cm intervals with a Costech ECS4010/4024 cube analyzer, with a measurement uncertainty of &#x3c;0.1%. Total Nitrogen (TN) content was also measured simultaneously in order to calculate TOC/TN. Grain size analysis was made at 2&#xa0;cm intervals with a Malvern Mastersizer 3000 laser-diffraction analyzer, which determines grain sizes of 0.01&#x2013;3000&#xa0;&#x3bc;m, with an analytical error within 2% (<xref ref-type="bibr" rid="B55">Sun et al., 2006</xref>; <xref ref-type="bibr" rid="B4">An et al., 2012</xref>). The grain size data were analyzed using the open source software QGrain (<xref ref-type="bibr" rid="B41">Liu et al., 2021</xref>). The above experiments were done at the Institute of Earth Environment, Chinese Academy of Sciences. All results are shown in <xref ref-type="fig" rid="F4">Figure 4</xref>.</p>
</sec>
</sec>
<sec sec-type="results" id="s4">
<title>4 Results</title>
<sec id="s4-1">
<title>4.1 Age model</title>
<p>Nine <sup>14</sup>C dating results (<xref ref-type="table" rid="T1">Table 1</xref>) are generally consistent with the stratigraphic sequence, except for LYG160. We selected two different organic materials (TOC and plant residues) for AMS <sup>14</sup>C dating at 190&#xa0;cm depth in the LYG profile, and the results showed that the <sup>14</sup>C age of LYG190 organic matter and plant residues were 3290 &#xb1; 30 a BP and 3520 &#xb1; 45 a BP, respectively. After calibration, organic matter and plant residues reflected a consistent range of ages. Therefore, we used 8 <sup>14</sup>C ages except LYG160, and the Bacon model (<xref ref-type="bibr" rid="B6">Blaauw and Christen, 2011</xref>) in R software was used for age and depth interpolation and extrapolation to obtain the age results of 0&#x2013;300&#xa0;cm for this profile. The deposition rate of 0&#x2013;300&#xa0;cm in this profile is calculated in the model, and the results are shown in <xref ref-type="fig" rid="F3">Figure 3</xref>.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>The age-depth model for the LYG profile.</p>
</caption>
<graphic xlink:href="feart-11-1125302-g003.tif"/>
</fig>
</sec>
<sec id="s4-2">
<title>4.2 Chemical and physical characteristics of the LYG sediments</title>
<p>The sediment particle sorting coefficient varies from 2.49 to 3.97 (<xref ref-type="fig" rid="F4">Figure 4</xref>), with an average value of 3.00. The LOI varies from 0.83% to 39.26% (<xref ref-type="fig" rid="F4">Figure 4</xref>), with an average value of 12.34%. The TOC/TN varies from 1.22 to 12.42 (<xref ref-type="fig" rid="F4">Figure 4</xref>), with an average value of 8.32. The Rb/Sr ratio varies from 0.14 to 1.04 (<xref ref-type="fig" rid="F4">Figure 4</xref>), with an average value of 0.63.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>LYG profile sorting coefficient-loss on ignition scatter plot, and sorting coefficient, loss on ignition, TOC, TN, C/N, Rb/Sr plot with depth.</p>
</caption>
<graphic xlink:href="feart-11-1125302-g004.tif"/>
</fig>
<p>Based on particle sorting coefficient, LOI, XRF results, TOC/TN and Rb/Sr ratio results, combined with the sedimentological observations in the field, the LYG profile can be roughly divided into two units from bottom to top, with the boundary at 135&#xa0;cm (<xref ref-type="fig" rid="F4">Figure 4</xref>):<list list-type="simple">
<list-item>
<p>1) 136&#x2013;300&#xa0;cm, which is the fluvial-lacustrine unit. This sediments unit has high particle size sorting coefficient values, with average value of 3.12. The LOI indicates low organic matter content (average value of 7.25) and good agreement with TOC content. TOC/TN ratio is low than 10. The Rb/Sr ratio is also low, with average value is 0.61.</p>
</list-item>
<list-item>
<p>2) 1&#x2013;135&#xa0;cm, a peat sedimentary unit. The sediments are mostly clay, and the particle size sorting coefficient is much lower than that of the fluvial-lacustrine unit, with average value is 2.88. The LOI is significantly higher than the previous unit (average value is 18.49). Average value of TOC/TN ration is 8.40. Rb/Sr rises to the highest value (&#x223c;1.04), which also indicates that the intensity of regional weathering in the basin decreases compared to the previous interval.</p>
</list-item>
</list>
</p>
</sec>
</sec>
<sec sec-type="discussion" id="s5">
<title>5 Discussion</title>
<sec id="s5-1">
<title>5.1 Characteristics of the Holocene environment changes</title>
<p>Some studies have shown that the determination of organic matter in stratigraphic profiles can provide a basis for recovery of past environmental changes to a certain extent (<xref ref-type="bibr" rid="B71">Zhang, 1998</xref>). The productivity of organic matter in arid regions is regulated by the impact of precipitation, as noted by <xref ref-type="bibr" rid="B3">An et al. (1993)</xref>. <xref ref-type="bibr" rid="B12">Chen et al. (2003)</xref> have observed that enhanced precipitation not only enhances productivity in lake, but also serves as a crucial factor in the preservation of organic material within the lake. In general, during the humid period, the water level of the lake rose, which became a lacks oxygen environment and conducive to the preservation of organic matter. On the contrary, the content of organic matter in the sediment decreases (Liu, 2012). Moreover, TOC/TN can be used to distinguish endogenous and exogenous organic matter in lake sediments (<xref ref-type="bibr" rid="B48">Meyers, 1990</xref>; <xref ref-type="bibr" rid="B57">Talbot and Johannessen, 1992</xref>; <xref ref-type="bibr" rid="B49">Meyers, 1994</xref>; <xref ref-type="bibr" rid="B33">Lamb et al., 2006</xref>). Aquatic phytoplankton are relatively rich in proteins, which are rich in organic nitrogen, so the endogenous C/N from organic matter is low, usually between 4 and 10. Terrestrial vascular plants are mainly lignin and cellulose, which have very low nitrogen content, thus the C/N ratio of exogenous organic matter is often greater than 20 and even as high as 100 (<xref ref-type="bibr" rid="B48">Meyers, 1990</xref>). Although the LYG profile has a sedimentary phase change, and the sorting coefficient can better reflect the hydrodynamic changes in the profile. The research shows that the standard deviation of sediment reflects the degree of sorting, the higher value represents the lower the degree of sorting, the stronger the hydrodynamic force (<xref ref-type="bibr" rid="B10">Chen and Wan, 1999</xref>). Rb appears inert during weathering and remains in the residue fraction in parent rocks as residual silicate, often accumulating in clay minerals (<xref ref-type="bibr" rid="B32">Koinig et al., 2003</xref>). In general, Rb and silicates are carried to basin areas (lakes) by physical weathering. Sr is one of the alkaline Earth metal elements, which can form soluble bicarbonate, chloride and sulfate into aqueous solution. Sr is often attached to the surface of carbonate or organic matter in sediments, and is eventually transferred to lake deposits as ions (Sr<sup>2&#x2b;</sup>). Therefore, the chemical weathering intensity of the basin is strong, and the Sr content in the corresponding lake sediments will also increase. Therefore, the Rb/Sr ratio can be used as a proxy to indicate the summer monsoon intensity (<xref ref-type="bibr" rid="B22">Gallet et al., 1996</xref>; <xref ref-type="bibr" rid="B11">Chen et al., 2001</xref>). It has also been found that low Rb/Sr ratios reflect stronger transport of terrigenous detrital material under weak chemical weathering in the basin (<xref ref-type="bibr" rid="B31">Kalugin et al., 2005</xref>).</p>
<p>Here, we use the LOI of the organic matter to represent effective humidity, grainsize sorting coefficient to represent regional hydrodynamics, TOC/TN ratio to represent vegetation changes, and Rb/Sr ration to represent weathering intensity in peats and fluvial-lacustrine records to reconstruct the climate and environment changes since 9 ka in the LYG area. (<bold>
<xref ref-type="fig" rid="F5">Figure 5</xref>
</bold>). We divided the study interval into two substages for discussion.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Comparison of Mid-to Late Holocene Environmental Records and Regional Climate of LYG profile. <bold>(A)</bold> 30&#xb0;N Summer Insolation (<xref ref-type="bibr" rid="B34">Laskar et al., 2011</xref>); <bold>(B)</bold> Ice-Rafted Hematite Debris (IRD) (<xref ref-type="bibr" rid="B8">Bond et al., 2001</xref>); <bold>(C)</bold> &#x3b4;<sup>18</sup>O from Delingha tree rings (<xref ref-type="bibr" rid="B5">An et al., 2021</xref>); <bold>(D)</bold> Asian summer monsoon index inferred from Lake Qinghai (<xref ref-type="bibr" rid="B4">An et al., 2012</xref>); <bold>(E)</bold> &#x3b4;<sup>13</sup>C values of terrestrial plant fragments from the HYXS profile in the Lake Qinghai region (<xref ref-type="bibr" rid="B35">Li et al., 2018</xref>); <bold>(F)</bold> Rb/Sr of LYG profile; <bold>(G)</bold> sorting coefficient of LYG profile; <bold>(H)</bold> LOI of LYG profile; <bold>(I)</bold> TOC/TN of LYG profile.</p>
</caption>
<graphic xlink:href="feart-11-1125302-g005.tif"/>
</fig>
<p>The first stage in 9&#x2013;4.4 ka BP is a wet period. During this period, the strong summer solar radiation (<bold>
<xref ref-type="fig" rid="F5">Figure 5A</xref>
</bold>), strengthening the summer monsoon (<bold>
<xref ref-type="fig" rid="F5">Figure 5D</xref>
</bold>) with sufficient precipitation. Average value of TOC/TN ration in LYG is 8.40, which indicates that the organic matter originated from aquatic plants. At this time, the physical properties of sedimentary profiles with high grainsize sorting coefficients reflect a stronger hydrodynamic. All of these proxies confirm the fluvial-lacustrine deposition environment (<bold>
<xref ref-type="fig" rid="F5">Figure 5G</xref>
</bold>). <xref ref-type="bibr" rid="B47">Ma et al. (2011)</xref> integrated the multiple records on the fluctuation of the surface of the Lake Qinghai and the &#x3b4;<sup>18</sup>O records of the ostracod shells of QH-2000 pore in the Lake Qinghai to show that the surface of the Lake Qinghai was relatively stable at an altitude of 3213&#xa0;m from 9 to 6 ka, which was &#x223c;20&#xa0;m higher than the modern surface of the lake water. <xref ref-type="bibr" rid="B43">Liu (2018)</xref> reanalyzed the palaeoenvironmental records and climate model simulations of in the Lake Qinghai and found that the Holocene climatic optimum period occurred from 8 to 6 ka. The vegetation in the basin was dominated by forests and grasslands, and the water level of the lake was rising during the middle Holocene (<xref ref-type="bibr" rid="B43">Liu, 2018</xref>). Aeolian records located around the Lake Qinghai, for example, Zeku profile (<xref ref-type="bibr" rid="B29">Hu et al., 2022</xref>), eastern sandy land profile (<xref ref-type="bibr" rid="B45">Lu et al., 2015</xref>; <xref ref-type="bibr" rid="B18">Ding et al., 2019</xref>; <xref ref-type="bibr" rid="B15">Chen, 2021</xref>), Jiangxigou Profile (<xref ref-type="bibr" rid="B19">E et al., 2013</xref>; <xref ref-type="bibr" rid="B66">Yang et al., 2016</xref>), Xiala Reservoir in Qinghai Nanshan, and Xiangpi Mountain Loess Profile (<xref ref-type="bibr" rid="B9">Chang, 2016</xref>) all indicated that the aeolian activity was weak, and most dunes were stabilized.</p>
<p>From 4.4 ka and continuing to the present day, the second stage has been characterized as a period of low temperatures and reduced precipitation. The decreased summer solar radiation (<bold>
<xref ref-type="fig" rid="F5">Figure 5A</xref>
</bold>) during this period weakened the summer monsoon, and the increased Rb/Sr ratio (<bold>
<xref ref-type="fig" rid="F5">Figure 5F</xref>
</bold>) also indicates poor regional hydrothermal conditions. The sedimentation profiles and reduced sorting coefficients (<bold>
<xref ref-type="fig" rid="F5">Figure 5G</xref>
</bold>) indicate that the shrinkage of watersheds until final disappearance, and LYG profiles shift from fluvial-lacustrine deposition to peat deposition. TOC/TN (<bold>
<xref ref-type="fig" rid="F5">Figure 5I</xref>
</bold>) indicates that plant organic matter still originated from aquatic plants. In addition, the weak reducing environment of peat and colder climatic conditions favor the preservation of organic matter, thus the loss on ignition shows high values (<bold>
<xref ref-type="fig" rid="F5">Figure 5H</xref>
</bold>). The aeolian sedimentary profile around the Lake Qinghai shows that the aeolian sand activity intensified, the climate deteriorated at &#x223c;4.5 ka, and the whole was mainly cold and dry, with a low degree of chemical weathering (<xref ref-type="bibr" rid="B19">E et al., 2013</xref>; <xref ref-type="bibr" rid="B45">Lu et al., 2015</xref>; <xref ref-type="bibr" rid="B9">Chang, 2016</xref>; <xref ref-type="bibr" rid="B66">Yang et al., 2016</xref>; <xref ref-type="bibr" rid="B46">Lv, 2018</xref>; <xref ref-type="bibr" rid="B18">Ding et al., 2019</xref>; <xref ref-type="bibr" rid="B15">Chen, 2021</xref>; <xref ref-type="bibr" rid="B29">Hu et al., 2022</xref>).</p>
</sec>
<sec id="s5-2">
<title>5.2 Rapid hydroclimatic change in the Lake Qinghai basin during the Late Holocene</title>
<p>Although the 8.2 ka cold event was the strongest cold event since 11.5 ka in the Holocene, here the LYG region did not respond strongly to it, and the organic matter only showed a weak trough (drops &#x223c;5%). This is probably because the organic matter content is not high in the first place, and thus the variation is moderate. However, the LYG profile shows strong fluctuations in organic matter during the Late Holocene, with six rapid hydrological changes (blue stripes in <bold>
<xref ref-type="fig" rid="F5">Figure 5</xref>
</bold>) recorded at &#x223c;4.0 ka, &#x223c;3.6 ka, &#x223c;3.2 ka, &#x223c;2.8 ka, &#x223c;2.1 ka and &#x223c;1.4 ka, respectively. These six declines in organic matter (from &#x223c;30% to &#x223c;10%) are highly consistent with the peak of the North Atlantic ice rafted debris (IRD) events (<bold>
<xref ref-type="fig" rid="F5">Figure 5B</xref>
</bold>). Therefore, we focus on these six rapid hydroclimatic changes in the Late Holocene.</p>
<p>
<xref ref-type="bibr" rid="B7">Bond et al. (1997)</xref> identified nine IRD events in the North Atlantic during the Holocene based on IRD, which were later gradually referred to as cold events. Among them, the cold events that occurred in the late Holocene were 0.4 ka, 1.4 ka, 2.8 ka and 4.2 ka (<bold>
<xref ref-type="fig" rid="F5">Figure 5B</xref>
</bold>), and the corresponding numbers were 0&#x2013;4 (<xref ref-type="bibr" rid="B7">Bond et al., 1997</xref>; <xref ref-type="bibr" rid="B8">Bond et al., 2001</xref>). In this study, except for 0.4 ka, the LYG profile responds to the other 3 cold events.</p>
<p>Among those cold events, the LYG profile has the strongest response to the 4.2 ka North Atlantic IRD event at&#x223c;4.0 ka. The organic matter (<bold>
<xref ref-type="fig" rid="F5">Figure 5H</xref>
</bold>) decreased &#x223c;30%. The summer monsoon in the Lake Qinghai Basin (<bold>
<xref ref-type="fig" rid="F5">Figure 5D</xref>
</bold>) weakened, with a corresponding decrease in precipitation. Secondly, the duration of the rapid hydroclimatic change of &#x223c;2.8 ka is longer. The organic matter (<bold>
<xref ref-type="fig" rid="F5">Figure 5H</xref>
</bold>) decreases and remains at a low value (the minimum is &#x223c;3.6%). The &#x3b4;<sup>18</sup>O value of the Delingha tree ring (<bold>
<xref ref-type="fig" rid="F5">Figure 5C</xref>
</bold>) was in the low value zone, with a minimum value of &#x223c;28&#x2030;. In addition, the rapid hydroclimatic change in &#x223c;1.4 ka period lasted much longer (&#x223c;500&#xa0;years) and had the strongest impact. During this period, the low value of organic matter (<bold>
<xref ref-type="fig" rid="F5">Figure 5H</xref>
</bold>) indicated vegetation coverage decreased, and it did not recover until nearly 100 years ago. Affected by the cold event, terrestrial C<sub>3</sub> vegetation in the Lake Qinghai Basin decreased significantly (<bold>
<xref ref-type="fig" rid="F5">Figure 5E</xref>
</bold>). The &#x3b4;<sup>18</sup>O of Delingha tree ring also shows a continuous decreasing trend (<bold>
<xref ref-type="fig" rid="F5">Figure 5C</xref>
</bold>). Although not labelled as specific cold events, both &#x223c;3.2 ka and &#x223c;2.1 ka coincides with the peak of the North Atlantic IRD event (<bold>
<xref ref-type="fig" rid="F5">Figure 5B</xref>
</bold>). The Lake Qinghai Basin summer monsoon (<bold>
<xref ref-type="fig" rid="F5">Figure 5D</xref>
</bold>) weakened to different degrees in these two periods. Unlike all the above five cold events, there was also a rapid and prolonged hydroclimatic change at 3.6 ka, but this event is not associated with the North Atlantic IRD event (<bold>
<xref ref-type="fig" rid="F5">Figure 5B</xref>
</bold>), which may be a regional feature of this region or dating uncertainty.</p>
</sec>
</sec>
<sec sec-type="conclusion" id="s6">
<title>6 Conclusion</title>
<p>We selected the LYG profile, a peat and lacustrine profile at the northern foot of the Nanshan Mountains, to analyze its organic matter, Rb/Sr ratio changes. We combined the results of AMS <sup>14</sup>C dating results to reconstruct the depositional environment of the Lake Qinghai Basin since 9 ka. Based on the experimental results and sedimentary characteristics, we divided the LYG profile into two substages:<list list-type="simple">
<list-item>
<p>1) 9&#x2013;4.4 ka BP, warm and wet period. This stage is characterized as fluvial-lacustrine deposition and the organic matter content in the sediment is not high.</p>
</list-item>
<list-item>
<p>2) 4.4 ka BP to date, cold and dry period. The LYG profile changes from fluvial-lacustrine deposition to peat deposition, preserving a large amount of organic matter. In addition, the organic matter records 6 obvious rapid hydroclimatic changes, which occurred at &#x223c;4.0 ka, &#x223c;3.6 ka, &#x223c;3.2 ka, &#x223c;2.8 ka, &#x223c;2.1 ka, &#x223c;1.4 ka. These rapid hydrologic changes were highly consistent with the peak of the North Atlantic IRD event.</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/supplementary material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s8">
<title>Author contributions</title>
<p>CW formal analysis, investigation, data curation, writing original draft, visualization. YQ methodology, resources, data curation, review and editing. FF validation, review and editing. BL and PS conceptualization, validation, review and editing, supervision. DN validation and review. PS conceptualization, writing&#x2014;review and editing, supervision. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>This study was supported by the Fund of Shandong Province (No. LSKJ202203300), the National Natural Science Foundation of China (Nos. 42030512, 42102237), the Strategic Priority Research Program of the Chinese Academy of Sciences (CAS) (Grant No. XDB 40000000). PS also acknowledges the support of the special research assistant project of the Chinese Academy of Sciences.</p>
</sec>
<ack>
<p>We thank Guoqing Zhao and Shugang Wu of the Xi&#x2019;an Accelerator Center, Institute of Earth Environment, Chinese Academy of Sciences, for their guidance and assistance in the experiments. We thank Prof. Hong Wang of Beijing Normal University for the improvements in English.</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>
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