Journal Pre-proof Vegetation succession and climate change during the early Pleistocene (2.2-1.8 Ma) in the Nihewan Basin, northern China Guoqiang Ding, Yuecong Li, Zhen Zhang, Wensheng Zhang, Yong Wang, Zhenqing Chi, Gaihui Shen, Baoshuo Fan PII:
S0031-0182(19)30025-2
DOI:
https://doi.org/10.1016/j.palaeo.2019.109375
Reference:
PALAEO 109375
To appear in:
Palaeogeography, Palaeoclimatology, Palaeoecology
Received Date: 11 January 2019 Revised Date:
28 August 2019
Accepted Date: 13 September 2019
Please cite this article as: Ding, G., Li, Y., Zhang, Z., Zhang, W., Wang, Y., Chi, Z., Shen, G., Fan, B., Vegetation succession and climate change during the early Pleistocene (2.2-1.8 Ma) in the Nihewan Basin, northern China, Palaeogeography, Palaeoclimatology, Palaeoecology, https://doi.org/10.1016/ j.palaeo.2019.109375. This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. © 2019 Published by Elsevier B.V.
Fig. 1. Location of the study area in China (left) and topography of the study area (right).
Fig. 2 Lithology and palaeomagnetic age diagram of core NHA from the Nihewan Basin (GPTS: the geomagnetic polarity timescale) (Hilgen et al., 2012; Singer, 2014; Singer et al., 2014)
Fig. 3. Pollen percentage and concentration diagram of core NHA showing the selected taxa in the Nihewan Basin
Fig. 4 Grain-size parameter curves of core NHA in the Nihewan Basin
Fig. 5 Principal component analysis of pollen taxa from core NHA in the Nihewan Basin
Fig. 6. Pollen records and sediment grain size from core NHA in the Reunion event period a. Pinus pollen percentage; b. Dark coniferous (Abies and Picea) pollen percentage; c. Broad-leaved tree (Anacardiaceae, Betula, Quercus and Ulmus etc) pollen percentage; d. Median grain-size
Fig. 7. Comparison of PCA axis 1 and axis 2 scores of core NHA with environmental proxy indicators a. PCA axis1 scores; b. PCA axis2 scores; c. > 30 μm grain size percentages of core NHA; d. Sediment grain size on the Loess Plateau (Sun et al., 2010); e. SST record from ODP Site 882 in the Subarctic Pacific (Martínez-Garcia et al., 2010); f. SST record from ODP Site 1090 in the Subantarctic Atlantic (Martínez-Garcia et al., 2010); g. Eurasian ice volume relative to present (Bintanja, R. and R.S.W. van de Wal, 2008) and h. LR04 benthic δ18O stack (Lisiecki and Raymo, 2005).
Highlights 1. Pinus pollen percentage was higher than 60 % in the study period, indicating vegetation was dominated by pine forest. 2. From 1.92 to 1.78 Ma (Olduvai event), it was the coldest and driest interval indicated by higher pollen percentages of Picea, Artemisia and Chenopodiaceae. 3. During Reunion (2.15-2.14 Ma) event, with the increase of Quercus and decrease of Picea in the pollen assemblages, it suggested a transition from cold to warm climate.
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Vegetation succession and climate change during the early Pleistocene (2.2-1.8
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Ma) in the Nihewan Basin, northern China
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Guoqiang Dinga,b,c, Yuecong Lia,b*, Zhen Zhanga,b, Wensheng Zhanga,b, Yong Wangd, Zhenqing Chid*, Gaihui
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Shena,b, Baoshuo Fana,b
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a. College of Resources and Environment Science, Hebei Normal University, Shijiazhuang 050024, PR China
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b. Key Laboratory of Environmental Evolution and Ecological Construction of Hebei
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c. Key Laboratory of West China's Environmental System (Ministry of Education), Lanzhou University, Lanzhou
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730000, PR China
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d. Institute of Geology, Chinese Academy of Geological Sciences, Beijing 100037, PR China
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* Corresponding author:
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Yuecong Li, College of Resources and Environment Science, Hebei Normal University, 20 Road East, 2nd Ring
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South, Shijiazhuang 050024, PR China
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E-mail:
[email protected]
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Tel: 138 3119 0396
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Zhenqing Chi, Institute of Geology, Chinese Academy of Geological Sciences, No. 26 Baiwanzhuang Street, Beijing
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100037, PR China
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E-mail:
[email protected]
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Tel: 139 0118 4032
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Abstract: The Nihewan Formation, northern China is ideal for studying environmental changes
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during the early Pleistocene. In conjunction with palaeomagnetic measurements, pollen and grain-
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size analyses were conducted on 120 samples from a ~24 m long section (2.2-1.8 Ma) of core NHA
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from the Nihewan Basin, in order to reconstruct past vegetation and climatic changes. The pollen
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assemblages were dominated by Pinus, indicating that the vegetation was primarily pine forest and
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that the climate was relatively warm and wet. From 2.15-1.92 Ma, deciduous broad-leaved tree
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pollen significantly increased to > 10 % of the total, showing that more broad-leaved trees grew in
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the study area during the warmest and wettest period in the study section. From 1.92-1.78 Ma
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(coeval with the Olduvai event), Pinus and broad-leaved tree pollen types decreased. The
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percentages of Picea (>20 %), Artemisia and Chenopodiaceae increased, indicating that spruce
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forests expanded, the openness of the forested areas increased and the climate became cold and dry.
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The vegetation changes reconstructed during the Olduvai period indicates that the climate in the
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Nihewan Basin was cold and dry, relating to global cooling facilitated by the uplift of the Tibetan
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Plateau and the strengthening of the winter monsoon.
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Keywords: pollen assemblages; palaeovegetation; palaeoclimate; Reunion event; Olduvai event.
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1. Introduction
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The early Pleistocene was an important sub-epoch during which global climate underwent
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fundamental changes (Leinen and Heath, 1981; Bailey et al., 2012). In general, the East Asian
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climate was warm and humid, and the East Asian winter and summer monsoons exhibited
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synchronous changes during the Late Pliocene and Early Pleistocene (Clemens et al., 2008; Jiang et
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al., 2010; Andreev, 2012; Andreev et al., 2016). Since the early Pleistocene, the atmospheric
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circulation strengthened and glaciations begun. In particular, the East Asian climate exhibited
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glacial-interglacial cyclicity with the winter and summer monsoons operating independently from
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one another (Ding et al., 1990; Sun et al., 1998; Fang et al., 2003; Zhang et al., 2016). Two
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palaeomagnetic reversal events occurred in the period 2.2-1.8 Ma (Deng et al. 2006; 2008; 2019;
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Liu et al., 2010; 2012). Since early Pleistocene environmental changes also coincided with the
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expansion of early humans, it is an important period to study (Potts, 1998; Demenocal, 2004;
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Bonnefille et al., 2010; Colcord et al., 2018).
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The Nihewan strata constitute a continuous record of early Pleistocene climate changes in
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northern China. For example, Xia and Liu (1984) compared the profiles of the Hongya, Haojiatai
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and Hutouliang Stations and determined that the Nihewan Formation is a large stratigraphic unit
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which contains deposits spanning the Pleistocene epoch. Early Pleistocene climate changes can be
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divided into three stages: (i) warm and humid in the early stage; (ii) mild and semi-humid in the
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middle stage with frequent climate fluctuations; and (iii) mild and semi-humid in the late stage.
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However, palynological evidence from the whole Nihewan section revealed up to 15-16 climatic
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changes (Chen, 1988). Zhou et al. (1991) inferred that the climate transitioned from warm-humid to
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cool-dry climate in the early Pleistocene in the Nihewan area. The Nihewan layer has been divided
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into three sections based on exposures at the Dadaopo and Donggou sites and can be compared with
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the Loess Plateau red clay, the Wucheng loess and the Lishi loess (Yuan et al. 1996). The Nihewan
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Formation has been dated using magnetostratigraphy, which established an age framework. (Zhu et
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al. 2001; 2004; Deng et al. 2006; 2008; 2019; Wang et al. 2004; 2008). However, the overall
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temporal resolution remains low and thus existing frameworks of vegetation and climate change
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remain rather general for the earliest Pleistocene (prior to 1.8 Ma).
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This paper presents a detailed pollen record for the early Pleistocene (2.2-1.8 Ma) from core
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NHA, Nihewan Basin. These data will be used to investigate the relationships between the
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vegetation succession and climate change in the Nihewan Basin, northern China during the early
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Pleistocene.
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2. Study areas
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Located in Yangyuan County of Hebei Province, Nihewan Basin (40°05′-40°20′N, 114°25′-
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114°44′E) is a late Cenozoic fault basin developed in the transitional zone between the North China
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Plain and the Inner Mongolian Plateau. The basin is surrounded by mountains and dissected along
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a southwest-northeast trend by the Sanggan River. There are extensive sedimentary exposures
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consisting of well-developed late Cenozoic lacustrine-fluvial deposits rich in mammalian fossils
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known as the Nihewan Fauna (Barbour, 1924, 1925; Teilhard de Chardin and Leroy, 1942). The
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total area of the basin is approximately 2,000 km2, and the average elevation is approximately 1000
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m a.s.l. (Fig. 1). The region has a distinct continental monsoon climate with an annual temperature
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range of 7 to 8°C, whilst the annual precipitation ranges from 360 to 420 mm. The vegetation
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succession is transitional from warm temperate deciduous broad-leaved forest to temperate semi-
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arid and arid grassland. The interior of the basin is dominated by semi-arid and arid shrubs and the
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surrounding mountains are dominated by forests (Xia and Liu, 1984; Zhou et al., 1991).
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3. Materials and methods
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3.1. Sampling collection and lithology
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Lithostratigraphic division of strata is critical for investigating regional geology. To
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determine the lithostratigraphy of the Nihewan Formation we collected a 365.82 m long core
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NHA (40°13′0.4″N, 114°38′32.3″E; 938 m a.s.l.) at Haojiatai which is located in the eastern part
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of the Nihewan Basin, Yangyuan County, Hebei Province (Fig. 1). The borehole was systematically
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described and sampled at high resolution. The results indicate that the Nihewan Basin stratigraphy
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is coeval with sediments on the Loess Plateau, specifically the Haojiatai, Salawusu, and Xiaodukou
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Formations. In addition the Nihewan Formation is correlated with the Lishi and Wucheng Loess.
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The sediments exposed at this profile represent a stratotype for the fluvio-lacustrine strata in the
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North China region. A total of 120 samples were collected from 129.8-106 m deep in the middle
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section of the core. The sediment samples in this study section are mainly composed of horizontally
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bedded blue-grey, black-grey, brown-black clay and silt, containing abundant charcoal and mollusc
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fossils. The lithology and fossil content indicate that the depositional environment was a lacustrine
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swamp and that there is a high degree of stratigraphic continuity (Min et al., 2015).
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3.2. Palaeomagnetic measurements
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Bulk magnetic susceptibility was determined for all samples on a Bartington MS2B at a
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frequency of 0.47 kHz. Natural remanent magnetization (NRM) and demagnetization measurements
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of all samples were made on a 2G-755 three-axis cryogenic magnetometer shielded by a Helmholtz
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configuration at the palaeomagnetic laboratory of the Institute of Geomechanics, Chinese Academy
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of Geological Sciences (CAGS) (Wang et al., 2004). The samples were subjected to progressive
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thermal demagnetization (40-60 ºC intervals to a maximum of 680 ºC) using a TD-48 thermal
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demagnetizer or stepwise alternating field (AF) demagnetization (more than 10 steps to a maximum
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of 100 mT) using a Schonstedt GSD-5 demagnetizer. The directions of the NRM components were
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determined with principal component analysis (PCA) using at least four temperature steps or AF
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steps for each component. Remanent coercivity analysis and thermomagnetic analysis were carried
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out at the palaeomagnetic laboratory, Department of Earth Science, University of Bergen, Norway.
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3.3. Pollen analysis
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Laboratory pollen was extracted using a modified HCL-NaOH-HF procedure (Fægri and
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Iversen, 1989). For each sample, 50 g was weighed before chemical treatment. Then one tablet of
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Lycopodium spores (27560 grains) was added as an indicator to each sample to calculate the pollen
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concentration. After this treatment, pollen and spores were concentrated using heavy liquid (Zinc
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bromide) flotation. The procedures were carried out at the College of Resources and Environmental
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Sciences of Hebei Normal University. The pollen was identified and counted using a Zeiss Imager
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A2 optical microscope at ×400 magnification. For most samples, more than 300 identified pollen
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and spores were counted.
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3.4. Grain-size analysis
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Measurements were carried out at the Laboratory of Environmental Evolution, College of
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Resources and Environmental Sciences, Hebei Normal University. In preparation for grain-size
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analysis, samples were treated to remove organic matter and calcium carbonate by conventional
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methods. Grain-size analyses (particle sizes ranging from 0-3500 µm) were undertaken using a
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Malvern Mastersizer 3000 laser particle size analyser. At least three runs were performed on each
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sample, and the average was taken as the final result. The repeated measurement error was less than
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2 %.
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3.5. Principal component analysis (PCA)
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PCA is a quantitative method widely used in ecology and related fields. The main aim of this
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method is to transform high-dimensional data into low-dimensional data, thereby simplifying
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complex problems with multiple variables (Weng et al., 1993; Davies and Fall, 2001). In this paper,
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we used Canoco 5 software to analyse the principal components. To clarify the environmental
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significance of pollen more clearly and to reduce the error, the pollen type in the pollen assemblage
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with percentages > 1 % for at least 10 samples was selected as a representative type on which to
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carry out the PCA (Braak and Smilauer, 2002; 2012).
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4. Results
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4.1. Palaeomagnetic data
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The core chronostratigraphic sequence was determined based on palaeomagnetic stratigraphy.
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The sedimentation rate and magnetic stratigraphy of the core show that the Matuyama/Gauss
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boundary begins at 156.6 m depth. Two transient positive polarity drift events are present at 125.4-
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121.2 m and from 116.4-105.8 m, which correspond to the Reunion and Olduvai intervals,
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respectively, according to the existing palaeomagnetic chronology and stratigraphic framework
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(Zhu et al., 2007; Ogg, 2012; Deng et al., 2019). The ages of 120 samples in the 129.8-106 m section
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were calculated by linear interpolation according to the existing palaeomagnetic chronological
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nodes and average deposition rate (Fig. 2).
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4.2. Pollen assemblages
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Ninety pollen types were identified within the 120 pollen samples in the Haojiatai NHA drill
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core. These include 24 tree pollen types, 17 shrub pollen types, 40 herb pollen types and 9 fern spore
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types. A total of 46126 grains of pollen were counted (excluding algae). An average of 384 pollen
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and spores were counted for each sample, with an average concentration of 423 grains/g. Among
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the identified pollen samples, Pinus, Picea, Abies, Quercus, Ulmus, Betula and Anacardiaceae are
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the most common tree pollen types; Ostryopsis, Elaeagnus, Rosaceae and Corylus are the most
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common shrub pollen types; Artemisia, Chenopodiaceae, Poaceae, Asteraceae, Brassicaceae,
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Labiatae, Cyperaceae, Urtica and Humulus are the most common herb pollen types; and
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Polypodiaceae and Triletes dominate the fern spores. According to the results of CONISS statistical
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analysis, together with changes in pollen concentrations, the record can be divided into five pollen
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assemblage zones (Fig. 3), which are herein described from bottom to top.
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Zone 1 (129.8-124.6 m; 2.21-2.15 Ma; 27 samples) has an average number of 678 pollen grains
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and an average concentration of 1078 grains/g, which are the highest values of identified grains and
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pollen concentrations in the study section. In pollen assemblages, the tree pollen content is dominant,
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with an average of 93 % (range: 73.1-99.8 %), and is the highest in the study section. Pinus pollen
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accounts for over 70% of the assemblage whilst Picea pollen content ranges from 10-20 %. The
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percentages of broad-leaved tree pollen are the lowest in the study section, accounting for
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approximately 2 %. The average pollen content of shrubs is less than 1 %. The average pollen
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content of herbs is 3 % (range: 0-14.4 %) and is the lowest in the study section, with Poaceae
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(average 1.2 %) being the most common. The fern spore content is the highest in the study section,
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with an average of 3.3 % (range: 0-12 %), and Polypodiaceae (average 2.9 %) is the most common.
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Zone 2 (124.6-119.2 m; 2.15-2.06 Ma; 27 samples) has an average number of 355 pollen grains
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and an average pollen concentration of 204 grains/g, both of which are significantly lower than those
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in zone 1. The tree pollen abundance is significantly lower than in zone 1, with an average content
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of 80.2 % (range: 52.1-99.7 %), but Pinus pollen is still dominant (>50 %) whilst Picea pollen
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contributes less than 5 % to the assemblage. The pollen content of broad-leaved trees is the highest
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in the study section, with an average of 11.5 %, and Quercus (average 5.7 %), Betula (average
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3.3 %) and Anacardiaceae (average 1.9 %) are dominant. The average pollen content of shrubs is
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9.4 %, and Rosaceae (average 3.2 %), Elaeagnus (average 3.1 %) and Corylus (average 2.3 %) are
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the common types. The herb pollen content is higher than that in zone 1, with an average of 9.6 %
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(range: 0.1-18.9 %), among which Poaceae (average 3.8 %) and Chenopodiaceae (average 2.6 %)
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account for the highest percentages. The fern spore content is less than 1 %.
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Zone 3 (119.2-114.4 m; 2.06-1.92 Ma; 24 samples) has an average count of 396 pollen grains
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and shows a slight increase in pollen concentration to 505 grains/g. In the pollen assemblage, the
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tree pollen content is the lowest in the study section, with an average of 77.1 % (range: 47.5-97.8 %).
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Pinus pollen content accounts for >50 %, and the Picea pollen content is slightly higher than in zone
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2 but <10 % in total. The pollen content of broad-leaved trees is lower than in zone 2. Ulmus
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(average 6.7 %) accounts for a larger proportion and Betula (average 1.5 %) is more common. The
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shrub pollen abundance is lower than in zone 2, having decreased to 3.7 %. The herb pollen content
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is higher than in zone 2, (average 16.7 %, range 0-44.3 %); the abundances of Chenopodiaceae
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(average 5.2 %), Artemisia (average 2.9 %) and Poaceae (average 2.1 %) are high, and Urtica and
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Humulus are also common. The fern spore content is also slightly higher than in zone 2, having
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increased to 2.5 %.
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Zone 4 (114.4-109.6 m; 1.92-1.84 Ma; 24 samples) has an average number of 146 pollen grains,
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and a pollen concentration of 28 grains/g which are the lowest in the study section. In the pollen
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assemblages, the tree pollen content is slightly higher than in zone 3, averaging 79.2 % (range: 48.4-
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97.9 %). The Pinus pollen content is often higher than 40 %, and whilst Picea pollen content is
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higher than that in zone 3 it remains less than 10 % Notably however two obvious peaks (mostly
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higher than 50 %) occur during this period. The pollen content of broad-leaved trees decreases
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significantly; the dominant pollen type is Ulmus (average 3.6 %). The pollen content of shrubs
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decreases continuously, with an average of 1.7 %. The herb pollen increases to the highest level in
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the study section, with an average content of 18.16 % (range: 1.9-48.4 %); Chenopodiaceae
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(average 7.6 %), Artemisia (average 5 %) and Poaceae (average 2.2 %) are the most common. The
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fern spore content is approximately 1 %.
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Zone 5 (109.6-106 m; 1.84-1.78 Ma; 18 samples) contains 292 pollen grains on average and a
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higher pollen concentration than in zone 4 (185 grains/g). In the pollen assemblages, the average
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content of tree pollen is 80 % (range: 42.5-97.2 %). The Pinus pollen content is significantly lower
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than in zone 4, ranging from 30-50 %. The Picea pollen content is significantly higher than in zone
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4 (>20 %) which is the highest in the study section. The content of broad-leaved trees decreases to
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4.2 %, and Ulmus (average 2.5 %) is predominant. The pollen content of herbs decreases slightly
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to 15.7 % (range: 1.7-51.7 %), whilst Artemisia (average 7.9 %) and Chenopodiaceae (average
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5.9 %) are the dominant species. The fern spore content increases to 3.3 %, with Polypodiaceae
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(average 1.7 %) and Triletes (average 1.3 %) being the most common.
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4.3. Grain-size analysis
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4.3.1 Indicative significance of grain-size
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In the late Cenozoic, the creation of the lake in the Nihewan Basin was facilitated by continuous
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fault-driven subsidence resulting in water accumulation in the Yangyuan and Yuxian Basins (Zhou
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et al., 1991). Thereafter, the lake system was influenced by global climate changes. The interval
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studied in this paper represents a stable stage of lake sedimentation which primarily reflects climate
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rather than tectonic processes (Xia, 1992; Ding et al., 2018). Thus grain-size coarsening reflects
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aridification and vice versa controlled by lake expansion and varied depth (Pei et al., 2009; Pan and
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Chen, 2010).
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4.3.2 Grain-size distributions
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The sediment samples in the study section are mainly horizontally bedded blue-grey clay and
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silt layers that contain charcoal and mollusc fossils. The grain-size data show that the sediments are
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mainly silt (4-63 μm; accounting for an average of 72.5 %), followed by clay (<4 μm; accounting
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for an average of 19.2 %), and sand (>63 μm; accounting for an average of 8.3 %). The grain-size
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of the drill core is generally fine, with an average median diameter of 15 μm. According to the
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characteristics of grain-size variation of sediments, the study section is divided into 5 zones
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consistent with pollen assemblages from bottom to top as follows (Fig. 4).
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Zone 1 (129.8-124.6 m; 2.21-2.15 Ma) mainly contains blue-grey clay. The sediments in this
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zone are fine-grained (median 13.3 μm, range: 6.3-42.2 μm). The average percentage of silt is 74.3 %
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(range: 61-79.6 %), which is the highest value in the study section; the average clay concentration
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is 19.7 % (range: 7.7-31.1 %), and the average sand concentration is approximately 6 % (range: 1.2-
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30.7 %), which is the lowest in the study section.
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Zone 2 (124.6-119.2 m; 2.15-2.06 Ma) mainly contains dark brown silty clay, with silt and
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lenticular fine sands which are in contact with the underlying zone. The median particle size is
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greater than in zone 1, with an average of 17.9 μm (range: 5.7-57.5 μm), and shows a significant
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peak. Compared with zone 1, the average content of silt is lower, reaching 68.9 % (range: 50.9-
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79.4 %), which is the lowest silt content in the study section. The sand content is higher in zone 2
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than in zone 1, with an average of 11.3 % (range: 0-43.5 %), and the clay content (mean 19.8 %,
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range: 5.1-37.5 %) exhibits no significant difference.
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Zone 3 (119.2-114.4 m; 2.06-1.92 Ma) is mainly composed of a blue-grey and bronze-coloured
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clay layer and a blue-grey silt lens. The median particle size is significantly lower in this zone than
236
that of zone 2, (average 9.9 μm), which is the lowest in the study section. Compared with zone 1,
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zone 3 has a higher average clay content (23 %, range: 14.6-35.9 %), which is the maximum value
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in the study section. The silt content is higher in this zone than in zone 2 (average 73.8 %, range:
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63.5-83.9 %), and sand content is significantly lower in this zone than in zone 2 (average 3.1 %,
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range: 0-9 %), which is the lowest in the study section.
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Zone 4 (114.4-109.6 m; 1.92-1.84 Ma) consists of reddish brown and cyan clays, silt and a fine
242
sand layer. The median particle size in this zone is higher than that in zone 3, with an average of
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13.3 μm (range: 6.3-31.5 μm). Compared to zone 3, zone 4 has a lower clay content of 18.7 % (range:
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5.9-33.6 %), which is the second lowest value in the study section; a higher sand content of 7.5 %
245
(range: 0-22.7 %), and a similar silt content (average 73.9 %, range: 65.7 %-81.6 %).
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Zone 5 (109.6-106 m; 1.84-1.78 Ma) is mainly composed of blue-grey silt and clay, with a fine
247
sand layer and calcium carbonate. The particle size is obviously higher in this zone than that in zone
248
4, (median: 22.4 μm), which is the highest in the study section. Compared to zone 4, zone 5 has a
249
higher sand content (average 15.1 %, range: 2.9-37.7 %), but a slightly lower enema silt content
250
(average 71.9 %, range: 55-79.6 %); and a lower clay content (average 13 %, range: 5.5-22.1 %).
251
4.4. Ecological significance of the pollen types
252
The palaeoclimatic interpretation of the established pollen zones is further described by
253
applying PCA to the pollen data. Twenty principal pollen taxa from core NHA were chosen for
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the PCA. The PCA biplot of pollen percentages is shown in Fig. 5. The first principal component
255
(axis 1) has an eigenvalue of 0.3614, and the second principal component (axis 2) has an
256
eigenvalue of 0.2148. Axis 1 reflects regional temperature because the highest value represents
257
coniferous forests, including Picea and Abies, which always appear on shaded slopes under
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cold climate conditions. The lowest value represents broad-leaved trees (Quercus and Betula),
259
warm shrubs and herbs, which generally prefer to grow under warm climate conditions. Axis 2
260
reflects regional moisture variations because the highest value represents Artemisia and
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Chenopodiaceae and the lowest value represents Pinus. Pinus generally appears in humid
262
environments, while Artemisia and Chenopodiaceae usually live in dry environments.
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5. Discussion
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5.1. Vegetation succession and climate change from 2.2 to 1.8 Ma
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Currently, most of the vegetation types in the study area belong to the warm temperate
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deciduous broad-leaved forest area, whereas the north western area belongs to the temperate
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grassland zone. The temperate continental monsoon climate zone has an average annual temperature
268
of 7-8 ºC and a mean annual precipitation of 360-420 mm (Ding et al., 2018). The vegetation
269
succession and climate change history since the early Pleistocene in the Nihewan Basin were
270
revealed through palynological and sediment grain-size analyses.
271
The pollen assemblages in the study area were dominated by arboreal pollen, among which
272
Pinus was dominant. Xu et al. (2007) analyzed 205 surface pollen samples from different
273
communities in Northern China to understand the quantitative relationship between pollen and its
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original vegetation. Pinus is the overrepresented pollen type. The pollen percentages themselves
275
exhibit some relations with plant cover. Pine forest might be present when Pinus pollen percentages
276
exceed 30 %. Results from the core demonstrate that the pollen content of Pinus was more than
277
60 %, indicating that the vegetation in the study area was primarily pine forest and thus that the
278
climate was warm and wet, but there were also variations. For example, from 2.21-2.15 Ma in
279
addition to the thermophilic Pinus pollen, the cryophilic Picea pollen content was >10 % in most
280
samples (up to 80 %). This finding indicates that the primary vegetation type was pine forest whilst
281
spruce forest was present in the mountains. These forests are shown to have expanded during
282
separate times (approximately 2.19-2.18 Ma) when a short-term cold period occurred. The pollen
283
content of broad-leaved trees increased significantly from 2.15-1.92 Ma and included Quercus
284
(average 3.3 %), Betula (average 2.5 %) and Ulmus (average 3.4 %). The pollen derived from broad-
285
leaved forest species has also been investigated in surface soils. Quercus has a higher correlation
286
coefficient, where pollen percentage is obviously lower than the plant cover. There is a weak
287
relationship between Ulmus pollen percentages and vegetation cover particularly where other arbors
288
are present. Nevertheless, where their pollen percentages are >1%, Ulmus trees should exist (Li et
289
al., 2005; Xu et al., 2007). This indicated that broad-leaved trees of a certain area appear in the
290
vegetation, which was the warmest and wettest period. Picea was dominant on several occasions
291
from 1.92-1.78 Ma, whilst the pollen content of Artemisia and Chenopodiaceae increased. The
292
spruce forest area expanded, the openness of forestland increased, and the abundance of xerophytes
293
increased, thus indicating that this interval was the coldest and driest in the study section.
294
5.2. Evidence for palaeovegetation and palaeoclimate during the Reunion event period
295
The Reunion event (2.15-2.14 Ma) was a very short geomagnetic reversal which occurred
296
during the Matuyama negative polarity epoch (Deng et al., 2019). So far most studies have focused
297
on the timing of this event rather than the palaeoenvironmental conditions (Yan et al., 2001; Yang
298
et al., 2007; Liu et al., 2012; Deng et al., 2019). Our results indicate that the depositional rate was
299
relatively fast and the sediment grain-size was relatively coarse. According to the variations in
300
pollen assemblages, two phases of environmental change can be inferred: 1) from 2.15-2.145 Ma,
301
although the pollen assemblages were dominated by Pinus, the cryophilic Picea increased
302
significantly (>10 %) ; and 2) from 2.145-2.14 Ma, the concentration of Picea pollen decreased
303
significantly and the broad-leaved tree increased significantly, in particular the thermophilic
304
Quercus (>5 %) and Anacardiaceae ( >3 %). The results indicate that in the early stage, besides pine
305
forest, there is obvious spruce forest in the mountain highlands, while in the late stage, the area of
306
spruce forest reduced, and the area of thermophilic broad-leaved trees expanded (represented by
307
Quercus and Anacardiaceae) (Fig. 6a; 6b; 6c). In addition, the score of PCA axis 1 changed to a
308
positive value (Fig. 7a) and sediment particle changed from coarse to fine (Fig. 6d), indicating that
309
the climate during the Reunion period was relatively cold from 2.15-2.145 Ma but then gradually
310
warmed. The global LR04 δ18O record (Fig. 7h) (Lisiecki and Raymo, 2005), Pacific and Atlantic
311
Ocean sea surface temperature (Fig. 7e; 7f) (Martínez-Garcia et al., 2010) and the decrease in
312
Eurasian ice volume (Fig. 7g) (Bintanja, R. and R.S.W. van de Wal, 2008) all imply the environment
313
of the Reunion event gradually changed from cold-dry to warm-humid.
314
5.3. Evidence for palaeovegetation and palaeoclimate during the Olduvai event period
315
The Olduvai positive event (1.945-1.778 Ma) occurred during the Matuyama negative polarity
316
epoch and lasted approximately 0.17 Ma (Lepre and Kent, 2010; Deng et al., 2019). This signifies
317
an important climate transition period during the Quaternary as it intersected with the emergency of
318
early humans. Whilst previous studies highlighted that the Olduvai event was cold, the processes
319
and characteristics of temperature and precipitation change still remain controversial (Wei, 2004;
320
Wu et al., 2010; Nutz, 2017; Tian et al., 2018). The available evidence indicates there were large
321
spatiotemporal differences in global cooling during the Olduvai event (Wu et al., 2010; Zhang, 2014;
322
Tian et al., 2018).
323
In this study, the sediment grain size during the Olduvai period was higher than before. The
324
pollen assemblages are characterized by a drop in the thermophilic Pinus but an increase in
325
cryophilic Picea as well as the drought-tolerant Artemisia and Chenopodiaceae. Collectively this
326
indicates that the climate was generally cold-dry during the Olduvai event, but there are significant
327
differences at different stages. At the beginning of the Olduvai event (1.95-1.92 Ma), the pollen
328
assemblages were still dominated by Pinus (>70 %) indicative of warm-humid conditions
329
dominated by pine forest. During the middle of the Olduvai event (1.92-1.84 Ma), the pollen
330
assemblage was characterized by alternating Pinus and Picea. Pollen types indicative of xeric herbs
331
such as Artemisia and Chenopodiaceae exhibited a large increase thereby indicating that the
332
surrounding vegetation in the lake area was comprised of mainly coniferous forest comprising pine
333
and spruce. The score of PCA axis 1 (Fig. 7a) fluctuated significantly whilst that of PCA axis 2 (Fig.
334
7b) was significantly positive, indicating that temperature and humidity began to decrease albeit
335
with major fluctuations. From 1.84-1.78 Ma (the late of the Olduvai event), the concentration of
336
Picea pollen exceeded 30 % (up to 60 %), indicating further expansion of spruce forest. Furthermore,
337
the score of PCA axis 1 was significantly positive. The sediment grain-size increased sharply
338
indicative of cold, dry conditions. Such cold, dry conditions in the Olduvai period have been
339
identified from records elsewhere in the world. Based on reconstructed bathymetric changes and
340
coastline migration of Lake Turkana, Nutz et al. (2017) also demonstrated that cold and dry
341
conditions persisted in Kenya from 1.87-1.76 Ma. In Italy, glaciation as represented by the
342
expansion of herbaceous vegetation was dated to around 1.84 Ma (Nebout and Grazzini, 1991). In
343
addition widespread glaciation with accelerated glacial erosion was also recorded in the coastal
344
mountains of British Columbia, Canada (Shuster et al., 2005). Sudden changes in the relative
345
abundances of diatom species in Lake Baikal, Siberia at 1.8 Ma also suggest global cooling and
346
Eurasian glacial expansion (Grachev et al., 1998).
347
The cold and dry climate of the Olduvai palaeomagnetic reversal period in the Nihewan Basin,
348
as in other areas, was mainly affected by global cooling, the strengthening of the winter monsoon
349
and the uplift of the Tibetan Plateau (Zhang, 2014; Li, 2015; Tian et al., 2018). During this period,
350
the SSTs in the Subarctic Pacific and Subantarctic Atlantic (Fig. 7e; 7f) were significantly lower
351
than in the previous period (Martínez-Garcia et al., 2010). In addition, there was a positive excursion
352
in the marine oxygen isotope record (Fig. 7h) (Lisiecki and Raymo, 2005), and the Eurasian ice
353
volume (Fig. 7g) increased significantly (Bintanja, R. and R.S.W. van de Wal, 2008), indicating that
354
the global climate became colder (Shackleton et al., 1984; Kennett, 1995). The expansion of sea ice
355
and Arctic land ice caused by rapid cooling in the high latitudes of the Northern Hemisphere may
356
have led to the intensification of the Siberian high-pressure system (Ruddiman and Kutzbach, 1989;
357
Guo et al., 2004) and further strengthened the winter monsoon (An et al., 2001; Tian et al., 2005).
358
The >30 μm coarse particle percentage was one of the most sensitive indicators for reconstructing
359
past changes in the East Asian winter monsoon (Lu and An., 1997; 1998). The percentage of coarse
360
particles that were >30 μm in the sediments of the study area increased significantly during the
361
Olduvai event (Fig. 7c; 7d) indicating that the winter monsoon had intensified (Wan et al., 2007).
362
Other studies have shown that the uplift of the Tibetan Plateau likely had a profound impact on the
363
global atmospheric circulation system (William, 1997; Shi et al., 1999; Dong et al., 2006; Li et al.,
364
2015) achieved via blocking the northward migration of the southwest monsoon (Li and Fang, 1998;
365
Dong et al., 2011; Qin et al., 2011). Instead the climate in the study area was more affected by the
366
high-latitude East Asian winter monsoon. Therefore, the strengthened winter monsoon and the
367
weakened summer monsoon together may have caused the cold and dry conditions in the Nihewan
368
region during the Olduvai period (An et al., 2001; Ding et al., 2005; Dong et al., 2006,2011; Yan et
369
al., 2014).
370
6. Conclusions
371
The early Pleistocene (2.2-1.8 Ma) pollen record from core NHA was used to investigate
372
the vegetation succession and climate changes in the Nihewan Basin. The results showed that the
373
pollen assemblages were dominated by Pinus, indicating that the vegetation in the study area was
374
primarily pine forest and that the climate was relatively warm and wet. From 2.15 Ma to 1.92 Ma,
375
the broad-leaved tree pollen abundance significantly increased to >10 %, indicating that this period
376
was the warmest and wettest in the entire record. During the Reunion (2.15-2.14 Ma) event,
377
increased Quercus but reduced Picea pollen concentrations suggested a transition from a cold to
378
warm climate. During the Olduvai event (1.92-1.78 Ma), the pollen contents of Picea, Artemisia
379
and Chenopodiaceae increased, indicative of the expansion of spruce forests and thus evidence for
380
very cold, dry conditions. The cold and dry climate in the Nihewan Basin during the Olduvai
381
period was strongly related to global cooling and resultant winter monsoon enhancement.
382
Additionally, the rapid uplift of the Tibetan Plateau also played an important role in the process
383
of the climate becoming cooler and drier.
384
Acknowledgements
385
This study is supported by the National Natural Science Foundation of China (Grant Nos.
386
41877433, 41701230, 41472157); China Geological Survey Project (Grant Nos. DD20160345). We
387
express our gratitude to Dr. Chris Oldknow for improving the English.
388
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Figure captions
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Fig. 1. Location of the study area in China (left) and topography of the study area (right).
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Fig. 2 Lithology and palaeomagnetic age diagram of core NHA from the Nihewan Basin (GPTS:
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the geomagnetic polarity timescale) (Hilgen et al., 2012; Singer, 2014; Singer et al., 2014)
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Fig. 3. Pollen percentage and concentration diagram of core NHA showing the selected taxa in the
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Nihewan Basin
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Fig. 4 Grain-size parameter curves of core NHA in the Nihewan Basin
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Fig. 5 Principal component analysis of pollen taxa from core NHA in the Nihewan Basin
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Fig. 6. Pollen records and sediment grain size from core NHA in the Reunion event period
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a. Pinus pollen percentage; b. Dark coniferous (Abies and Picea) pollen percentage; c. Broad-
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leaved tree (Anacardiaceae, Betula, Quercus and Ulmus etc) pollen percentage; d. Median grain-
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size
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Fig. 7. Comparison of PCA axis 1 and axis 2 scores of core NHA with environmental proxy
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indicators
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a. PCA axis1 scores; b. PCA axis2 scores; c.>30 μm grain size percentages of core NHA; d.
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Sediment grain size on the Loess Plateau (Sun et al., 2010); e. SST record from ODP Site 882 in the
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Subarctic Pacific (Martínez-Garcia et al., 2010); f. SST record from ODP Site 1090 in the
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Subantarctic Atlantic (Martínez-Garcia et al., 2010); g. Eurasian ice volume relative to present
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(Bintanja, R. and R.S.W. van de Wal, 2008) and h. LR04 benthic δ18O stack (Lisiecki and Raymo,
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2005).
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