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  <front>
    <journal-meta><journal-id journal-id-type="publisher">ESSD</journal-id><journal-title-group>
    <journal-title>Earth System Science Data</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ESSD</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Earth Syst. Sci. Data</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1866-3516</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/essd-14-4777-2022</article-id><title-group><article-title>Holocene spatiotemporal millet agricultural<?xmltex \hack{\break}?> patterns in northern China: a dataset of<?xmltex \hack{\break}?> archaeobotanical macroremains</article-title><alt-title>Holocene spatiotemporal millet agricultural patterns in northern China</alt-title>
      </title-group><?xmltex \runningtitle{Holocene spatiotemporal millet agricultural patterns in northern China}?><?xmltex \runningauthor{K. He et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>He</surname><given-names>Keyang</given-names></name>
          <email>hekeyang1991@163.com</email>
        <ext-link>https://orcid.org/0000-0002-6014-823X</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2 aff3">
          <name><surname>Lu</surname><given-names>Houyuan</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Zhang</surname><given-names>Jianping</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Wang</surname><given-names>Can</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Key Laboratory of Cenozoic Geology and Environment, Institute of
Geology and Geophysics,<?xmltex \hack{\break}?> Chinese Academy of Sciences, Beijing, 100029, China</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Innovation Academy for Earth Science, Chinese Academy of Sciences,
Beijing, 100029, China</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>School of History and Culture, Shandong University, Jinan, 250100,
China</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Keyang He (hekeyang1991@163.com)</corresp></author-notes><pub-date><day>28</day><month>October</month><year>2022</year></pub-date>
      
      <volume>14</volume>
      <issue>10</issue>
      <fpage>4777</fpage><lpage>4791</lpage>
      <history>
        <date date-type="received"><day>5</day><month>April</month><year>2022</year></date>
           <date date-type="rev-request"><day>8</day><month>June</month><year>2022</year></date>
           <date date-type="rev-recd"><day>30</day><month>September</month><year>2022</year></date>
           <date date-type="accepted"><day>10</day><month>October</month><year>2022</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2022 Keyang He et al.</copyright-statement>
        <copyright-year>2022</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://essd.copernicus.org/articles/14/4777/2022/essd-14-4777-2022.html">This article is available from https://essd.copernicus.org/articles/14/4777/2022/essd-14-4777-2022.html</self-uri><self-uri xlink:href="https://essd.copernicus.org/articles/14/4777/2022/essd-14-4777-2022.pdf">The full text article is available as a PDF file from https://essd.copernicus.org/articles/14/4777/2022/essd-14-4777-2022.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d1e135">Millet agriculture, i.e., broomcorn millet (<italic>Panicum miliaceum</italic>) and foxtail millet (<italic>Setaria italica</italic>), initially originated in northern China and provided the basis for the emergence of the first state in the Central Plains. However, owing to the lack of a comprehensive archaeobotanical dataset, when, where, and how these two millet types evolved across different regions and periods remains unclear. Here, we presented a dataset of archaeobotanical macroremains (<inline-formula><mml:math id="M1" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">538</mml:mn></mml:mrow></mml:math></inline-formula>) spanning the Neolithic and Bronze ages in northern China and suggested a significant spatiotemporal divergence of millet agriculture in the subhumid mid-lower Yellow River (MLY) and semiarid agro-pastoral ecotone (APE). The key timing of the diffusion and transition of millet agriculture occurred around 6000 cal. a BP, coinciding with the Holocene Optimum (8000–6000 cal. a BP) and Miaodigou Age (6200–5500 cal. a BP). It spread westward and northward from the MLY to APE and underwent a dramatic transition from low-yield broomcorn millet to high-yield foxtail millet. The combined influence of warm-wet climate, population pressure, and field management may have promoted the intensification, diffusion, and transition of millet agriculture around 6000 cal. a BP. Thereafter, the cropping patterns in the MLY were predominated by foxtail millet (<inline-formula><mml:math id="M2" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 80 %), while those in APE focused on both foxtail (<inline-formula><mml:math id="M3" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 60 %) and broomcorn millet under a persistent drying trend since the mid-Holocene. This study provided the first quantitative spatiotemporal cropping patterns during the Neolithic and Bronze ages in northern China, which can be used for evaluating prehistoric human subsistence, discussing past human–environment interaction, and providing a valuable perspective of agricultural sustainability for the future. The dataset is publicly available at <uri>https://doi.org/10.5281/zenodo.6669730</uri> (He et al., 2022).</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e183">Broomcorn (<italic>Panicum miliaceum</italic>) and foxtail (<italic>Setaria italica</italic>) millets are among the world's oldest crops and were initially domesticated in northern China (Diao and Jia, 2017; Lu et al., 2009a; Yang et al., 2012; Zhao, 2011b). These two millet types played a significant role in the formation of the early Chinese civilization (Yuan et al., 2020; Zhao, 2011a) and prehistoric food globalization (d'Alpoim Guedes and Bocinsky, 2018; Dong et al., 2017; Jones et al., 2011; Liu et al., 2019), remaining as staple cereals in arid and semiarid regions. Although broomcorn and foxtail millets are generally similar in ecophysiology and are simultaneously excavated in archaeological sites in China (Dong et al., 2016; Zhao, 2011b), recent archaeobotanical studies suggested that the biogeography of the two millet types through time is distinctive (Hunt et al., 2008; Liu et al., 2009). In particular, when, where, and how these two millet types evolved across different regions and stages spanning the Neolithic and Bronze ages in northern China remains unclear.</p>
      <p id="d1e192">Regarding the diachronic change in millets, the predominant crop during the
Peiligang period (8000–7000 cal. a BP) was the broomcorn millet across the major centers of domestication, including the Xinglonggou (Zhao, 2004), Dadiwan (Liu et al., 2004), Cishan (Lu et al., 2009a), Zhuzhai (Bestel et al., 2018; C. Wang et al., 2018), and Yuezhuang sites (Crawford et al., 2016) (Fig. 1), while the cropping patterns were dominated by the foxtail millet since the late Yangshao period (6000–5000 cal. a BP) (Zhou et al., 2011), as evidenced by a series of archaeobotanical surveys in the Yiluo (Lee et al., 2007; Zhang et al., 2014), Ying (Fuller and Zhang, 2007; H. Zhang et al.,
2010), and Sushui valleys (Song et al., 2019). In contrast, phytolith evidence from the Guanzhong region (J. P. Zhang et al., 2010) and Central Plains (Luo et al., 2018; Wang et al., 2017, 2019; Zhang et al., 2012) indicated that the cropping pattern dominated by broomcorn millet persisted from the Peiligang to the Erligang periods (3600–3300 cal. a BP). Whether and when a transition occurred from broomcorn to foxtail in northern China is still in dispute (Qin, 2012).</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F1" specific-use="star"><?xmltex \currentcnt{1}?><?xmltex \def\figurename{Figure}?><label>Figure 1</label><caption><p id="d1e197">Distribution of archaeological sites of millet and related
cultural sequence during the Neolithic and Bronze ages in northern China.
<bold>(a)</bold> The archaeological sites were classified into color-shaded subregions modified from Yan (2000). The shaded gray area and dashed lines indicate the agro-pastoral ecotone (APE) and annual average precipitation of 400 and 800 mm, respectively. The blue squares denote archaeological sites mentioned in this study: 1. Xinglonggou, 2. Weijiawopu, 3. Donghulin, 4. Shimao, 5. Lajia, 6. Dadiwan, 7. Wangjiazui, 8. Anban, 9. Yangguanzhai, 10. Baligang, 11. Jiahu, 12. Zhuzhai, 13. Dongzhao, 14. Cishan, 15. Yuezhuang, 16. Xihe. <bold>(b)</bold> Division of archaeological cultures and periods across the six subregions.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://essd.copernicus.org/articles/14/4777/2022/essd-14-4777-2022-f01.png"/>

      </fig>

      <p id="d1e213">Compared with the intensive attention paid to the temporal changes in the
broomcorn and foxtail millets, their spatial divergence has rarely been
discussed. Crawford et al. (2005) noted that broomcorn millet was traditionally more important in the drier western areas, while foxtail millet was more common in the east. A review of cropping patterns in the mixed farming region suggested a selection of foxtail millet in the southward spread of millet agriculture to the mid-upper Yangtze River (He et al., 2017). In addition, recent studies have demonstrated the north–south cropping patterns on the Loess Plateau, with a dominance of broomcorn millet in the northern steppe area and foxtail millet in the southern shrub–grassland area during the Longshan period (5000–3800 cal. a BP) (Bao et al., 2018; Sheng et al., 2018). However, most of these studies were confined to intraregional comparisons, and integrated research across different regions in northern China was unavailable.</p>
      <p id="d1e216">To investigate the evolution of millet cropping patterns across different
periods and regions, we compiled a comprehensive dataset of 538 flotation
results from 381 sites spanning the Neolithic and Bronze ages in northern
China (Fig. 1) and compared them with phytolith results obtained in our
previous study. Based on the systematic analysis of crop data and
demographic and climatic records, we revealed the spatiotemporal divergence
between the broomcorn and foxtail millets and the dynamic driving mechanism
behind these phenomena.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Archaeological background</title>
      <p id="d1e227">Based on the spatial framework proposed by Yan (2000), the Neolithic
cultures in northern China were subdivided into six subregions, i.e., the Liaoxi, Yanbei, Ganqing, Guanzhong, Central Plains, and Haidai regions
(Fig. 1a). The first three regions are located in the semiarid
agro-pastoral ecotone (APE) (Fig. 1a) (Chen, 2018), while the last three
regions are situated in the subhumid mid-lower Yellow River (MLY). The
Liaoxi region is situated in the west of Liaoning Province and southeast of the Inner Mongolia Autonomous Region; to the west, the Yanbei region is situated in the central-south of the Inner Mongolia Autonomous Region and north of Shaanxi, Shanxi, and Hebei provinces, i.e., the northern parts of Chinese Loess Plateau; in the westernmost part, the Ganqing region is situated northeast of Qinghai Province and central-south of Gansu Province. The Guanzhong region is located in the southeast of Gansu Province and south of Shaanxi Province, which is merged into the Central Plains in some studies; to the east, the Central Plains is located in the south of Shanxi Province, and the bulk of Henan Province; the Haidai region is mainly located in the Shandong Province.</p>
      <p id="d1e230">Regarding the temporal sequence in these regions, the Neolithic and Bronze
cultures were summarized into six periods, including the Pre-Peiligang
(11 000–9000 cal. a BP), Peiligang (9000–7000 cal. a BP), early Yangshao
(7000–6000 cal. a BP), late Yangshao (6000–5000 cal. a BP), and Longshan periods (5000–3800 cal. a BP) and the Bronze Age (3800–2221 cal. a BP) (Fig. 1b) (The Institute of Archaeology and China Academy of Social Sciences, 2010). During the Pre-Peiligang period, only a few archaeological sites were scattered in the Yanbei region (i.e., Donghulin culture), Central Plains, and Haidai region. Subsequently, during the Peiligang period, four archaeological cultures, i.e., Xinglongwa, Dadiwan, Peiligang, and Houli, formed almost synchronously across Liaoxi, Guanzhong, Central Plains, and Haidai regions, which were widely regarded as early Neolithic cultures with sedentary settlements, being the origin of millet agriculture, pottery, and ground stone tool. During the early and late Yangshao periods, settlements increased dramatically and spread wildly across all six regions, especially the Miaodigou culture, with remarkable signals of social-hierarchy emergence. The Longshan period witnessed high population densities and the rise and fall of early complex society, and eventually the early states – Erlitou culture formed in the Central Plains during the Bronze Age (Liu and Chen, 2012).</p>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Materials and methods</title>
      <p id="d1e241">A total of 538 flotation results from 381 sites with millets excavated in
northern China were assembled from a review of relevant literature,
including published research papers, reports, and dissertations. Each site
was assigned an age based on the direct dating in situ or the median age of
archaeological culture. The following sites were eliminated: (1) sites
belonging to historic periods beyond the study period and (2) sites with
less than five grains of excavated staple crops, which may cause large
randomness. After two screening steps, 487 flotation results from 349 sites
were retained for further analysis.</p>
      <p id="d1e244">Each flotation result addressed here indicated a compilation of original
samples floated from the same cultural phase of an archaeological site. The
original sample numbers investigated and compiled per cultural phase of each
site ranged from 1 to 1082, with an average of approximately 30 samples. The
487 flotation results from 349 sites were classified into 6 geographical
regions and 6 cultural periods (Table 1), with 78 sites containing more
than 1 single cultural phase. The number of flotation results across the
six regions during each period was generally even, except for the common
lack of flotation results in the agro-pastoral ecotone before the Longshan
period.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e250">Spatiotemporal composition of flotation results in
northern China.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="8">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right" colsep="1"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Period</oasis:entry>
         <oasis:entry rowsep="1" namest="col2" nameend="col4" align="center" colsep="1">Mid-lower Yellow river (MLY) </oasis:entry>
         <oasis:entry rowsep="1" namest="col5" nameend="col8" align="center">Agro-pastoral ecotone (APE) </oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">Guanzhong</oasis:entry>
         <oasis:entry colname="col3">Central</oasis:entry>
         <oasis:entry colname="col4">Haidai</oasis:entry>
         <oasis:entry colname="col5">Ganqing</oasis:entry>
         <oasis:entry colname="col6">Yanbei</oasis:entry>
         <oasis:entry colname="col7">Liaoxi</oasis:entry>
         <oasis:entry colname="col8">Sum</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">region</oasis:entry>
         <oasis:entry colname="col3">Plains</oasis:entry>
         <oasis:entry colname="col4">region</oasis:entry>
         <oasis:entry colname="col5">region</oasis:entry>
         <oasis:entry colname="col6">region</oasis:entry>
         <oasis:entry colname="col7">region</oasis:entry>
         <oasis:entry colname="col8"/>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Pre-Peiligang</oasis:entry>
         <oasis:entry colname="col2">0</oasis:entry>
         <oasis:entry colname="col3">0</oasis:entry>
         <oasis:entry colname="col4">0</oasis:entry>
         <oasis:entry colname="col5">0</oasis:entry>
         <oasis:entry colname="col6">1</oasis:entry>
         <oasis:entry colname="col7">0</oasis:entry>
         <oasis:entry colname="col8">1</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Peiligang</oasis:entry>
         <oasis:entry colname="col2">2</oasis:entry>
         <oasis:entry colname="col3">4</oasis:entry>
         <oasis:entry colname="col4">4</oasis:entry>
         <oasis:entry colname="col5">0</oasis:entry>
         <oasis:entry colname="col6">0</oasis:entry>
         <oasis:entry colname="col7">3</oasis:entry>
         <oasis:entry colname="col8">13</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Early Yangshao</oasis:entry>
         <oasis:entry colname="col2">11</oasis:entry>
         <oasis:entry colname="col3">6</oasis:entry>
         <oasis:entry colname="col4">3</oasis:entry>
         <oasis:entry colname="col5">0</oasis:entry>
         <oasis:entry colname="col6">0</oasis:entry>
         <oasis:entry colname="col7">2</oasis:entry>
         <oasis:entry colname="col8">22</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Late Yangshao</oasis:entry>
         <oasis:entry colname="col2">15</oasis:entry>
         <oasis:entry colname="col3">50</oasis:entry>
         <oasis:entry colname="col4">11</oasis:entry>
         <oasis:entry colname="col5">0</oasis:entry>
         <oasis:entry colname="col6">3</oasis:entry>
         <oasis:entry colname="col7">1</oasis:entry>
         <oasis:entry colname="col8">80</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Longshan</oasis:entry>
         <oasis:entry colname="col2">11</oasis:entry>
         <oasis:entry colname="col3">72</oasis:entry>
         <oasis:entry colname="col4">29</oasis:entry>
         <oasis:entry colname="col5">22</oasis:entry>
         <oasis:entry colname="col6">26</oasis:entry>
         <oasis:entry colname="col7">0</oasis:entry>
         <oasis:entry colname="col8">160</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Bronze Age</oasis:entry>
         <oasis:entry colname="col2">18</oasis:entry>
         <oasis:entry colname="col3">71</oasis:entry>
         <oasis:entry colname="col4">30</oasis:entry>
         <oasis:entry colname="col5">52</oasis:entry>
         <oasis:entry colname="col6">6</oasis:entry>
         <oasis:entry colname="col7">34</oasis:entry>
         <oasis:entry colname="col8">211</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Sum</oasis:entry>
         <oasis:entry colname="col2">57</oasis:entry>
         <oasis:entry colname="col3">203</oasis:entry>
         <oasis:entry colname="col4">77</oasis:entry>
         <oasis:entry colname="col5">74</oasis:entry>
         <oasis:entry colname="col6">36</oasis:entry>
         <oasis:entry colname="col7">40</oasis:entry>
         <oasis:entry colname="col8">487</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e544">Five staple crops were summarized according to traditional Chinese
agriculture (Liu et al., 2015): foxtail millet (<italic>S. italica</italic>), broomcorn millet (<italic>P. miliaceum</italic>), rice (<italic>Oryza sativa</italic>), wheat and barley (<italic>Triticum aestivum</italic> and <italic>Hordeum vulgare</italic>), and soybean (<italic>Glycine max</italic>). The flotation results were recounted with uniform standards referring to the concept of
“number of identified specialness taxon (NISP)” in zooarchaeology
(Grayson, 2014), defined as the number of identified specimens for a
specific site or skeleton. According to this criterion, fragments of
unidentified crop seeds were not counted, while each fragment of
identifiable large crop seeds, such as wheat and rice, that retained more
than half of an intact seed was counted as an intact seed; different parts of
the crop seeds, i.e., diagnostic grains and spikelet bases of wheat, barley,
and rice, retrieved from the same context were added up to denote the total
numbers of crop seeds.</p>
      <p id="d1e566">Considering the significant differences between the weight of the grains of
crop species, the counts may not reflect their real status in the
subsistence. Thus, they were converted into weights for better comparison of
their actual values (X. Y. Zhou et al., 2016). The staple crops were converted
into weights using the average weight of 1000 grains (Table 2) based on the
Chinese Crop Germplasm Resources Information System to estimate the actual
yield proportions.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><?xmltex \currentcnt{2}?><label>Table 2</label><caption><p id="d1e572">Statistics of weights of modern staple crops.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="6">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Crops</oasis:entry>
         <oasis:entry colname="col2">Number of samples</oasis:entry>
         <oasis:entry rowsep="1" namest="col3" nameend="col6" align="center">Weight (g per 1000 grains) </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">Minimum</oasis:entry>
         <oasis:entry colname="col4">Maximum</oasis:entry>
         <oasis:entry colname="col5">Average</oasis:entry>
         <oasis:entry colname="col6">Standard deviation</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Setaria italica</italic></oasis:entry>
         <oasis:entry colname="col2">3584</oasis:entry>
         <oasis:entry colname="col3">1.0</oasis:entry>
         <oasis:entry colname="col4">5.90</oasis:entry>
         <oasis:entry colname="col5">2.823</oasis:entry>
         <oasis:entry colname="col6">0.597</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Panicum miliaceum</italic></oasis:entry>
         <oasis:entry colname="col2">2071</oasis:entry>
         <oasis:entry colname="col3">0.6</oasis:entry>
         <oasis:entry colname="col4">10.0</oasis:entry>
         <oasis:entry colname="col5">6.38</oasis:entry>
         <oasis:entry colname="col6">1.44</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Oryza sativa</italic></oasis:entry>
         <oasis:entry colname="col2">26 818</oasis:entry>
         <oasis:entry colname="col3">2.37</oasis:entry>
         <oasis:entry colname="col4">86.9</oasis:entry>
         <oasis:entry colname="col5">24.661</oasis:entry>
         <oasis:entry colname="col6">3.1889</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Triticum aestivum</italic></oasis:entry>
         <oasis:entry colname="col2">15 810</oasis:entry>
         <oasis:entry colname="col3">8.1</oasis:entry>
         <oasis:entry colname="col4">59.9</oasis:entry>
         <oasis:entry colname="col5">33.72</oasis:entry>
         <oasis:entry colname="col6">8.21</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Hordeum vulgare</italic></oasis:entry>
         <oasis:entry colname="col2">6437</oasis:entry>
         <oasis:entry colname="col3">5.5</oasis:entry>
         <oasis:entry colname="col4">66.8</oasis:entry>
         <oasis:entry colname="col5">40.76</oasis:entry>
         <oasis:entry colname="col6">7.11</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><italic>Glycine max</italic></oasis:entry>
         <oasis:entry colname="col2">3995</oasis:entry>
         <oasis:entry colname="col3">38</oasis:entry>
         <oasis:entry colname="col4">350</oasis:entry>
         <oasis:entry colname="col5">151.1</oasis:entry>
         <oasis:entry colname="col6">41.1</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p id="d1e575">Detailed information is available at <uri>http://www.cgris.net/</uri> (last access: 25 February 2016).</p></table-wrap-foot></table-wrap>

      <p id="d1e776">Percentages (ratio/proportion of total crop remains) were applied to the
counts and weights of the staple crops for each site (Marston, 2014).
Temporally, the sites were classified into six standardized periods and
calculated for the mean values and standard deviations across the six
regions (Figs. 2 and 3). Besides, the percentage of the counts were
summarized into the APE and MLY, which were plotted and smoothed using 5 % “loess” regression method and 1000 bootstrap simulations in Acycle v2.4.1 (Fig. 4) (Li et al., 2019). Spatially, the percentage of the counts of
each site was plotted at intervals of 2000 or 1000 years and presented in
graduated colors using ArcMap 10.6 (Fig. 5).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><?xmltex \def\figurename{Figure}?><label>Figure 2</label><caption><p id="d1e781">Evolution of cropping patterns in the subhumid mid-lower Yellow
River (MLY). <bold>(a–c)</bold> The percentages of crop counts in the Guanzhong region, Central Plains, and Haidai region. <bold>(d–e)</bold> The percentages of crop weights in the Guanzhong region, Central Plains, and Haidai region.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://essd.copernicus.org/articles/14/4777/2022/essd-14-4777-2022-f02.png"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><?xmltex \currentcnt{3}?><?xmltex \def\figurename{Figure}?><label>Figure 3</label><caption><p id="d1e799">Evolution of cropping patterns in the semiarid agro-pastoral
ecotone (APE). <bold>(a–c)</bold> The percentages of crop counts in the Ganqing, Yanbei, and Liaoxi regions. <bold>(d–e)</bold> The percentages of crop weights in the Ganqing, Yanbei, and Liaoxi regions.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://essd.copernicus.org/articles/14/4777/2022/essd-14-4777-2022-f03.png"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><?xmltex \currentcnt{4}?><?xmltex \def\figurename{Figure}?><label>Figure 4</label><caption><p id="d1e816">Transition of millet agriculture in the MLY <bold>(a)</bold> and APE <bold>(b)</bold>. The percentages of foxtail and broomcorn millet counts are indicated in blue and purple, respectively. The shaded envelopes indicate the range of 1<inline-formula><mml:math id="M4" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> uncertainty of the percentage values. The vertical yellow bars denote the timing of transition around 6000 cal. a BP.</p></caption>
        <?xmltex \igopts{width=199.169291pt}?><graphic xlink:href="https://essd.copernicus.org/articles/14/4777/2022/essd-14-4777-2022-f04.png"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5"><?xmltex \currentcnt{5}?><?xmltex \def\figurename{Figure}?><label>Figure 5</label><caption><p id="d1e840">Spatiotemporal distribution of millet sites along with cropping
patterns in northern China. Graduated colors of the circles indicate the
percentages of the counts of foxtail and broomcorn millets at each site. The
light-colored shades denote the cultural subregions, and the red arrows
indicate the spread routes of millet agriculture.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://essd.copernicus.org/articles/14/4777/2022/essd-14-4777-2022-f05.png"/>

      </fig>

</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Results</title>
<sec id="Ch1.S4.SS1">
  <label>4.1</label><title>Evolution of cropping patterns in the MLY</title>
      <p id="d1e864">During the Peiligang period, the millet cropping patterns in the Guanzhong
region, Central Plains, and Haidai region were dominated by the broomcorn
millet, as indicated by the percentages of the counts (100 %, 32 %, and 55 %) and weights (100 %, 32 %, and 55 %) (Fig. 2). The relatively low percentages of millets in the Central Plains (Fig. 2b and e) and Haidai region (Fig. 2c and f) were mainly attributed to the quantities of rice excavated in a few sites, such as the Baligang (Deng et al., 2015), Jiahu (Zhao and Zhang, 2009), and Xihe sites (Jin et al., 2014). With a decrease in rice from the Peiligang to the early Yangshao period in the Central Plains and Haidai region, a steady rise occurred in the percentage of the counts (58 % and 85 %) and weights (62 % and 88 %) of broomcorn millet, which maintained an advantage over foxtail millet.</p>
      <p id="d1e867">From the early Yangshao period to the Bronze Age, the percentage of the
counts and weights of broomcorn millet dramatically decreased from
approximately 60 % to 10 %, while those of foxtail millet gradually
increased from approximately 30 % to 80 % (Fig. 2). Notably, during the late Yangshao period, foxtail millet surpassed broomcorn millet in most of the percentages of the counts and weights in the Guanzhong region (69 % vs. 29 %, 51 % vs. 41 %, respectively); Central Plains (72 % vs. 20 %, 57 % vs. 25 %); and Haidai region (53 % vs. 36 %, 33 % vs. 42 %).</p>
      <p id="d1e870">The dominant role of foxtail millet improved during the Longshan period, as
indicated by the percentages of the counts and weights in the Guanzhong
region (77 % and 54 %, respectively), Central Plains (75 % and 50 %), and Haidai region (55 % and 24 %). Accordingly, the percentage of the counts (10 %–17 %) and weights (9 %–25 %) of the broomcorn millet reduced in these regions. Subsequently, the gap between the foxtail and broomcorn millets widened during the Bronze Age.</p>
</sec>
<sec id="Ch1.S4.SS2">
  <label>4.2</label><title>Evolution of cropping patterns in the APE</title>
      <p id="d1e881">Prior to the late Yangshao period, the archaeobotanical studies in the APE were relatively rare and discontinuous. During the pre-Peiligang
period, the Donghulin site in the Yanbei region excavated the earliest
charred millets in China, dominated by the foxtail millet (Zhao et al.,
2020) (Fig. 3b and e). Contrarily, the cropping pattern was dominated by
the broomcorn millet during the Peiligang period in the Liaoxi region,
accounting for 96 % and 98 % in the percentage of the counts and weights,
respectively, particularly in the Xinglonggou site (Zhao, 2004) (Fig. 3c
and f). Subsequently, during the early Yangshao period, although the
percentage of the counts and weights of the foxtail millet greatly increased
to 40 and 26 %, respectively, in the Liaoxi region (Fig. 3c and f), broomcorn millet still played a leading role in the cropping pattern, particularly in the Weijiawopu site (Sun and Zhao, 2013).</p>
      <p id="d1e884">From the late Yangshao period to the Bronze Age, the percentages of the
counts and weights of broomcorn millet decreased in the Ganqing (45 % to
30 % and 55 % to 27 %, respectively); Yanbei (46 % to 19 % and 65 % to 30 %); and Liaoxi regions (96 % to 35 % and 98 % to 48 %) (Fig. 3). The percentages of the counts and weights of foxtail millet gradually increased in the Yanbei (53 % to 79 % and 34 % to 58 %, respectively) and Liaoxi regions (3 % to 64 % and 1 % to 50 %), while the decrease in foxtail millet
in the Ganqing region resulted from a rapid increase in wheat and barley
(Fig. 3a and d). Summarily, although the cropping patterns in the APE
were dominated by foxtail millet during the Longshan period and Bronze Age,
broomcorn millet was still significant.</p>
</sec>
<sec id="Ch1.S4.SS3">
  <label>4.3</label><title>Comparison of cropping patterns between the MLY and APE</title>
      <p id="d1e895">The millet cropping patterns in northern China exhibited diverse patterns in
the MLY and APE. In the MLY, the millet cropping patterns strikingly
transitioned from broomcorn to foxtail millet around 6000 cal. a BP (Fig. 4a), such as in the Yangguanzhai site, the only settlement enclosed by a completed moat during the Miaodigou period (6000–5500 cal. a BP) (Zhong et al., 2020). The percentage of the counts of foxtail millet rapidly increased from approximately 20 % to 80 % around 6000 cal. a BP and predominated afterward, and that of the counts of broomcorn millet changed in reverse (Fig. 4a).</p>
      <p id="d1e898">By contrast, although it appeared that the transition also occurred in the
APE around 6000 cal. a BP despite the inadequate data, the foxtail
(<inline-formula><mml:math id="M5" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 60 %) and broomcorn millets (<inline-formula><mml:math id="M6" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 40 %)
jointly made important contributions to the cropping patterns after 6000 cal. a BP (Fig. 4b). For example, the staple crops in the Shimao site, a super-large central settlement dated 4300–3800 cal. a BP, mainly comprised foxtail (73 %) and broomcorn millets (26 %) (Yang et al., 2022).</p>
</sec>
<sec id="Ch1.S4.SS4">
  <label>4.4</label><title>Distribution of millet agriculture in northern China</title>
      <p id="d1e923">Based on the age, location, and percentage of crop counts of each site, the
spatial distribution and temporal evolution of millet agriculture in
northern China were divided into two stages.</p>
      <p id="d1e926"><italic>Stage I (9000–6000 cal. a BP).</italic> Millet agriculture was confined to several possible centers of domestication along the marginal mountains of the Loess Plateau and Inner Mongolian plateau (Fig. 5a–b and f–g), known as the Hilly flanks or China's Fertile Arc (Liu et al., 2009; Ren et al., 2016).
The primary agricultural region in northern China had been framed at Stage I
despite several blank areas still existing within this region. The
predominant crop was broomcorn millet in most sites of the Liaoxi region,
Haidai region, Central Plains, and Guanzhong region, generally accounting
for more than 60 % (Fig. 5f and g).</p>
      <p id="d1e931"><italic>Stage II (6000–2221 cal. a BP).</italic> The discontinuous agricultural region linked together at Stage II and expanded to marginal areas without solid evidence of agriculture prior to 6000 cal. BP. The spread of millet
intensified from the late Yangshao to Longshan periods in two directions
(Fig. 5c–d and h–i): (1) westward routine to the Ganqing region along the
Wei River and Hexi corridor around 5400 cal. BP (Leipe et al., 2019) and (2) northward routine to the Yanbei region along the middle Yellow River around 5200 cal. BP (Bao et al., 2018). The cropping patterns of most sites in northern China were now dominated by foxtail millet (mostly more than
60 %), although a few sites in the APE were still dominated by broomcorn
millet.</p>
</sec>
</sec>
<sec id="Ch1.S5">
  <label>5</label><title>Discussion</title>
<sec id="Ch1.S5.SS1">
  <label>5.1</label><title>Possible biases of archaeobotanical macroremains</title>
      <p id="d1e953">Although foxtail and broomcorn millets could be identified based on clear
diagnostic features of their carbonized seeds (Liu and Kong, 2004) and
phytolith morphologies (Lu et al., 2009b; Zhang et al., 2011), the
percentage of the carbonized millets appeared to exhibit a reverse proportion
to those of the phytoliths in the archaeological context. The divergence
between the macroremains and phytoliths may result from several factors,
such as the different sources of crop grains and phytoliths or biases in the
representativeness of quantity. Diagnostic phytoliths of millets were
derived from the inflorescence bracts (Fig. 6g and i) which may have
been discarded during threshing and dehusking. Besides, based on the
analysis of modem crop husk phytoliths, a previous study suggested that the
counts of the husk phytoliths of foxtail and broomcorn millets were
proportional to the weights of their seed grains, reflecting the
relative production rather than quantities of these two millet types (J. P. Zhang et al., 2010). However, even after they were converted into weights, the percentage of carbonized millets still contradicted those of the phytoliths recovered from the same sites (Fig. 6a–d), such as the Anban (Liu, 2014; J. P. Zhang et al., 2010), Lajia (Wang et al., 2015; Zhang, 2013; Zhao, 2003), Dongzhao (Luo et al., 2018; Yang et al., 2017), and Wangjiazui sites (J. P. Zhang et al., 2010; Zhao and Xu, 2004). Thus, there may be other factors contributing to this divergence, such as depositional and preservation biases.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6"><?xmltex \currentcnt{6}?><?xmltex \def\figurename{Figure}?><label>Figure 6</label><caption><p id="d1e958">Divergence between flotation and phytolith results recovered from
the same sites: <bold>(a)</bold> Anban (Liu, 2014; J. P. Zhang et al., 2010), <bold>(b)</bold> Lajia (Wang
et al., 2015; Zhang, 2013; Zhao, 2003), <bold>(c)</bold> Dongzhao (Luo et al., 2018; Yang
et al., 2017), and <bold>(d)</bold> Wangjiazui (J. P. Zhang et al., 2010; Zhao and Xu, 2004). The crop counts of the flotation results had been converted to weights before calculating the percentages. <bold>(e–g)</bold> Images of charred seeds of foxtail (<italic>S. italica</italic>), broomcorn (<italic>P. miliaceum</italic>) millets, and rice (<italic>O. sativa</italic>), respectively. <bold>(h–j)</bold>
Images of diagnostic phytoliths of foxtail (<italic>S. italica</italic>), broomcorn (<italic>P. miliaceum</italic>) millets, and rice (<italic>O. sativa</italic>), respectively.</p></caption>
          <?xmltex \igopts{width=213.395669pt}?><graphic xlink:href="https://essd.copernicus.org/articles/14/4777/2022/essd-14-4777-2022-f06.png"/>

        </fig>

      <p id="d1e1005">Carbonized macroremains represented only a small and biased sample that had
access to the fire, and the survival rates for the carbonization process
varied among crops (Colledge and Conolly, 2014; Wright, 2003). Experiments
on the effects of carbonization indicated that the carbonization temperature
window of broomcorn millet (250–325 <inline-formula><mml:math id="M7" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) was smaller than that of
foxtail millet (270–390 <inline-formula><mml:math id="M8" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C), implying that broomcorn millet was
less likely to be carbonized than foxtail millet in archaeological contexts
and thus may be underestimated in the cropping pattern (Märkle and
Rösch, 2008; Wang and Lu, 2020). However, the preservation bias may be
the reverse for phytoliths. Based on empirical evidence, the fragments of
<inline-formula><mml:math id="M9" display="inline"><mml:mi mathvariant="italic">η</mml:mi></mml:math></inline-formula>-type phytoliths from broomcorn millet were generally larger than
those of <inline-formula><mml:math id="M10" display="inline"><mml:mi mathvariant="normal">Ω</mml:mi></mml:math></inline-formula>-type phytoliths from foxtail millet (Lu et al., 2009b),
implying that broomcorn millet was more likely to be preserved
archaeologically and maintain diagnostic attributes for identification. In
sum, the amount of broomcorn millet may be underestimated in carbonized
macroremains and overestimated in the phytolith assemblage. Thus, further
taphonomic research on survival rates should be quantitatively conducted for
the correction between foxtail and broomcorn millet.</p>
      <p id="d1e1041">Furthermore, the way of seed yield may also affect the biases between
foxtail and broomcorn millets. Morphological data from the northern Chinese
Loess Plateau showed that the size of broomcorn millet increased
significantly during 5500–4000 cal. BP, while that of foxtail millet did not exhibit an obvious increasing trend (Bao et al., 2018). Given the
contemporaneous increasing human population, the crop yield was supposed to
increase to feed a large population. Nevertheless, the increasing yields of
broomcorn millet may depend on the increase in the seed size, while that of
foxtail millet may result from the increase in the number of seeds per
plant. Thus, the different ways of seed yield may also be one cause for the
increase in the proportion of foxtail millet within the total seed number of
seeds. In brief, both biases in the carbonization process and the way of
seed yield may have exaggerated the proportion of foxtail millet.</p><?xmltex \hack{\newpage}?>
</sec>
<sec id="Ch1.S5.SS2">
  <label>5.2</label><title>Spatial divergence of cropping patterns in the MLY and APE</title>
      <p id="d1e1053">Though the transition from broomcorn to foxtail millet around 6000 cal. a BP occurred in both the MLY and APE (An et al., 2010; Li et al., 2021; Wang et al., 2016), the cropping patterns diversified afterwards to adapt to regional environments, which were predominated by foxtail millet in the MLY (Fuller and Zhang, 2007; Lee et al., 2007; Song et al., 2019; Yang et al., 2020; Zhang et al., 2014) and focused on foxtail and broomcorn millet in the APE (Bao et al., 2018; Sheng et al., 2018). The spatial divergence of the cropping patterns may be attributed to the crop traits and regional climate.</p>
      <p id="d1e1056">Compared to the foxtail millet, the broomcorn millet exhibited better
resistance to saline–alkali soil and arid climates (mean annual
precipitation: 400–700 mm vs. 300–500 mm) and required a shorter growing
season and lower-growing temperature constraints (mean annual temperature,
8–10 <inline-formula><mml:math id="M11" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C vs. 6–8 <inline-formula><mml:math id="M12" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) (Shanxi Academy of Agricultural
Sciences, 1987; Wang, 1996), and yet its yield was typically twice as low
(1170 kg hm<inline-formula><mml:math id="M13" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> vs. 750 kg hm<inline-formula><mml:math id="M14" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) (Dong and Zheng, 2006). In sum, foxtail millet was more productive while the broomcorn millet was more environmentally tolerant.</p>
      <p id="d1e1101">Furthermore, though the East Asian monsoon rain belt had migrated
northwestward <inline-formula><mml:math id="M15" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 150–300 km during the mid-Holocene (Dong et
al., 2021; Yang et al., 2015), the persistent drying trend since the
mid-Holocene in northern China (Goldsmith et al., 2017; Yang et al., 2021)
may have formed diverse ecosystems and millet selection. Thus, under a
gradual aridification trend since approximately 6000 cal. a BP,
drought-tolerant broomcorn millet had been replaced by high-yield foxtail
millet in the subhumid MLY but was still significant in the semiarid APE.</p>
</sec>
<sec id="Ch1.S5.SS3">
  <label>5.3</label><title>Transition and diffusion of millet agriculture in northern China</title>
      <p id="d1e1119">Based on the analysis of the archaeological and paleoclimatic records, it
appeared that a diffusion, transition and divergence of millet agriculture occurred in northern China around 6000 cal. a BP under the combined influence of climate change and cultural factors. The reasons are as follows.</p>
      <p id="d1e1122">First, although there was a dispute over whether a cooling or warming trend
occurred in the late Holocene (Bova et al., 2021; Marsicek et al., 2018;
Osman et al., 2021), global temperature anomalies reconstructed from a
multi-proxy database of paleotemperature records exhibited <inline-formula><mml:math id="M16" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.6 <inline-formula><mml:math id="M17" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C of warming from 10 000 to 6000 cal. a BP (Kaufman et al., 2020; Marcott et al., 2013), known as the Holocene thermal maximum (Renssen et al., 2009). In addition, pollen-based East Asian monsoon precipitation exhibited a time-transgressive pattern of the maximum precipitation shift from southern to northern China (X. Zhou et al., 2016, 2022), and peak precipitation occurred between 8000 and 5000 cal. a BP in northern China (Fig. 7a), as indicated by pollen records in the Dali, Daihai, and Gonghai lakes (Chen et al., 2015; Wen et al., 2017; Xiao et al., 2004).
Thus, the warm and wet climate during 8000–6000 cal. a BP with a maximum
combination of precipitation and temperature (Chen et al., 2015; Dong et
al., 2022), defined as the Holocene Optimum, may have greatly promoted the
intensification of the millet agricultural shift from broomcorn millet to the
productive foxtail millet in the MLY and the diffusion of millet agriculture
from the subhumid MLY to the semiarid APE.</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F7"><?xmltex \currentcnt{7}?><?xmltex \def\figurename{Figure}?><label>Figure 7</label><caption><p id="d1e1143">Comparison between cropping patterns and demographic and climatic
records. <bold>(a)</bold> Pollen-based annual precipitation reconstructed from Gonghai Lake (Chen et al., 2015). <bold>(b)</bold> Demographic fluctuations inferred from the summed probability distribution of radiocarbon dates with 500-year smoothing in North and Northwest China (Wang et al., 2014). <bold>(c–f)</bold> Comparison of the percentages of foxtail (in green) and broomcorn (in blue) millet counts in the MLY and APE. The shaded envelopes indicate the range of 1<inline-formula><mml:math id="M18" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> uncertainty of the percentage values. The vertical yellow bars denote the high precipitation, population levels, and transition of millet in the MLY around 6000 cal. a BP. The dashed red rectangle indicates the roughly average values of millet in the APE after 6000 cal. a BP.</p></caption>
          <?xmltex \igopts{width=213.395669pt}?><graphic xlink:href="https://essd.copernicus.org/articles/14/4777/2022/essd-14-4777-2022-f07.png"/>

        </fig>

      <p id="d1e1169">Second, the summed radiocarbon probability distribution suggested that the
population in North and Northwest China experienced a rapid increase and
reached a high level during 6500–5000 cal. a BP (Fig. 7b) (Wang et al.,
2014). Additionally, an explosive growth of archaeological sites occurred
from the early (<inline-formula><mml:math id="M19" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">217</mml:mn></mml:mrow></mml:math></inline-formula>) to late Yangshao periods (<inline-formula><mml:math id="M20" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">3817</mml:mn></mml:mrow></mml:math></inline-formula>) (Hosner
et al., 2016), extensively distributed along the middle Yellow River (Fig. 8). Consequently, the interaction among different cultural subregions
unprecedentedly intensified since 6000 cal. a BP and formed the Chinese
Interaction Sphere (Chang, 1986) or Miaodigou Age (6200–5500 cal. a BP)
(Han, 2012). Thus, the cultural expansion and population explosion prompted
the selection of the productive foxtail millet and the spread of millet
agriculture around 6000 cal. a BP in northern China, coinciding with the
origin and diffusion of the Sino-Tibetan evidenced by linguistics and
genetics (Wang et al., 2021; Zhang et al., 2019).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8"><?xmltex \currentcnt{8}?><?xmltex \def\figurename{Figure}?><label>Figure 8</label><caption><p id="d1e1198">Distribution of the archaeological sites of Yangshao culture. <bold>(a)</bold> Distribution of archaeological sites during the early Yangshao period
(7000–6000 cal. a BP). <bold>(b)</bold> Distribution of archaeological sites during the
middle and late Yangshao periods (6000–5000 cal. a BP). Representative,
painted pottery basin with the fish design of the Banpo phase <bold>(a)</bold> and the petal design of the Miaodigou phase <bold>(b)</bold>.</p></caption>
          <?xmltex \igopts{width=227.622047pt}?><graphic xlink:href="https://essd.copernicus.org/articles/14/4777/2022/essd-14-4777-2022-f08.png"/>

        </fig>

      <p id="d1e1219">Finally, as the main growing area of millet agriculture (He et al., 2017), the Chinese Loess Plateau was generally unsuitable for intensive arable production because of the small amounts of total nitrogen and phosphorus in the Loess (Catt, 2001). Therefore, field management practices, particularly manuring (animal waste), played significant roles in the intensification of millet agriculture in northern China. Modern field experiments suggested that the manuring of cereal crops could significantly elevate their <inline-formula><mml:math id="M21" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">15</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>N
values above those grown in natural or unmanured soils (Bogaard et al.,
2013), with an offset range of 5 ‰–7 ‰ for millets
(Christensen et al., 2022). Elevated nitrogen isotope values of the millet
grains recovered from the Baishui valley indicated the use of animal manure
as a growth-promoting factor since the late Yangshao period (X. Wang et al.,
2018). Besides, a recent study in the Dadiwan site also suggested that an
intensive crop–livestock system was in practice around 5500 cal. BP (Yang et al., 2022). Considering that the yield of foxtail millet was typically twice that of broomcorn millet, the dramatic increase in soil fertilization may promote the conscious choice of high-yield foxtail millets to maximize agricultural productivity.</p>
</sec>
</sec>
<sec id="Ch1.S6">
  <label>6</label><title>Data availability</title>
      <p id="d1e1242">The dataset of archaeobotanical macroremains including absolute counts and weights of staple crops, and percentage of counts and weights for each of the sites together with their locations and ages are available at the open-access repository Zenodo (He et al., 2022; <ext-link xlink:href="https://doi.org/10.5281/zenodo.6669730" ext-link-type="DOI">10.5281/zenodo.6669730</ext-link>).</p><?xmltex \hack{\newpage}?>
</sec>
<sec id="Ch1.S7" sec-type="conclusions">
  <label>7</label><title>Conclusion</title>
      <p id="d1e1257">Based on the synthesis of archaeobotanical macroremains spanning the
Neolithic and Bronze ages in northern China, our study determined the
distinctive spatiotemporal patterns of millet agriculture in the MLY and
APE. On the one hand, millet agriculture spread westward and northward from
the MLY to the APE around 6000 cal. a BP. On the other hand, the cropping
patterns diversified in the MLY and APE after the transition from broomcorn
to foxtail millet around 6000 cal. a BP to adapt to regional environments.
The diffusion and transition of millet agriculture in northern China around
6000 cal. a BP may have been driven by the combined influence of warm–wet
climate, population pressure, and field management. Afterward, the
persistent drying trend since the mid-Holocene may have formed the millet
agriculture focused on the foxtail millet and drought-tolerant broomcorn
millet in the APE.</p>
</sec>

      
      </body>
    <back><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e1264">KH and HL designed the archaeobotanical dataset; KH was responsible for construction of the database; KH performed numerical analyses and organized the manuscript, and JZ and CW revised the draft of the paper. All authors discussed the results and contributed to the final paper.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e1270">The contact author has declared that none of the authors has any competing interests.</p>
  </notes><notes notes-type="disclaimer"><title>Disclaimer</title>

      <p id="d1e1276">Publisher’s note: Copernicus Publications remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e1282">We sincerely thank Xiaoshan Yu, Xue Yan, Xiaoqu Zheng, Yuqian Wang, and
Yongchao Ma for their assistance with data collection. We would like to
thank Editage (<uri>http://www.editage.cn</uri>, last access: 23 March 2022) for English language editing.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e1290">This research has been supported by the National Natural Science Foundation of China (grant nos. T2192954, 41902187, and 41830322), the Chinese Academy of Sciences (grant no. XDB26000000), and the China Postdoctoral Science Foundation (grant no. 2020M670444).</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e1297">This paper was edited by Kirsten Elger and reviewed by two anonymous referees.</p>
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