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Hydroclimatic changes in south-central China during the 4.2 ka event and their potential impacts on the development of Neolithic culture

Published online by Cambridge University Press:  12 May 2022

Tianli Wang
Affiliation:
State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China University of Chinese Academy of Sciences, Beijing 100049, China Institute of Global Environment Change, Xi'an Jiaotong University, Xi'an 710054, China
Dong Li
Affiliation:
Library of Chang'an University, Xi'an 710064, China
Xing Cheng
Affiliation:
Shaanxi Experimental Center of Geological Survey, Shaanxi Institute of Geological Survey, Xi'an 710054, China
Jianghu Lan
Affiliation:
State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
R. Lawrence Edwards
Affiliation:
Department of Earth and Environmental Sciences, University of Minnesota, Minneapolis, Minnesota 55455, USA School of Geography, Nanjing Normal University, Nanjing 210097, China
Hai Cheng
Affiliation:
State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China Institute of Global Environment Change, Xi'an Jiaotong University, Xi'an 710054, China
Xingxing Liu
Affiliation:
State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
Gang Xue
Affiliation:
State Key Laboratory of Continental Dynamics, Department of Geology, Northwest University, Xi'an 710069, China
Hai Xu
Affiliation:
Institute of Surface-Earth System Science, Tianjin University, Tianjin 300072, China
Le Ma
Affiliation:
State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
Jingjie Zang
Affiliation:
State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
Yaqin Wang
Affiliation:
Xi'an Institute for Innovative Earth Environment Research, Xi'an 710061, China
Yongli Gao
Affiliation:
Department of Geological Sciences, University of Texas at San Antonio, San Antonio, Texas 78249, USA
Ashish Sinha
Affiliation:
Department of Earth Science, California State University, Carson, California 90747, USA
Liangcheng Tan*
Affiliation:
State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China Institute of Global Environment Change, Xi'an Jiaotong University, Xi'an 710054, China
*
*Corresponding author at: State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China. E-mail address: tanlch@ieecas.cn (L. Tan).
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Abstract

The 4.2 ka event is widely presumed to be a globally widespread aridity event and has been linked to several episodes of societal changes across the globe. Whether this climate event impacted the cultural development in south-central China remains uncertain due to a lack of regional paleorainfall records. We present here stalagmite stable carbon isotope and trace element–based reconstruction of hydroclimatic conditions from south-central China. Our data reveal a sub–millennial scale (~5.6 to 4.3 ka) drying trend in the region followed by a gradual transition to wetter conditions during the 4.2 ka event (4.3–3.9 ka). Together with the existing archaeological evidence, our data suggest that the drier climate before 4.3 ka may have promoted the Shijiahe culture, while the pluvial conditions during the 4.2 ka event may have adversely affected its settlements in low-lying areas. While military conflicts with the Wangwan III culture may have accelerated the collapse of Shijiahe culture, we suggest that the joint effects of climate and the region's topography also played important causal roles in its demise.

Information

Type
Research Article
Copyright
Copyright © University of Washington. Published by Cambridge University Press, 2022
Figure 0

Figure 1. (A) Locations of Remi Cave (yellow circle) and other caves (triangles) and a lake (square) mentioned in this study: Lianhua (LH), Heshang (HS), Dongge (DG), Jiulong (JL), Shennong (SN), Xianglong (XL), Wuya (WY), Liuli (LL) Caves, and Gonghai (GH) Lake. The different colors reflect the wet (blue) and dry (red) conditions in China, respectively. The records of catastrophic floods during the 4.2 ka event are marked by small deep-blue dots. (B) Climatic setting of the study region with meteorological records from Longshan station. The gray bars and blue squares separately represent regional monthly average precipitation and mean air temperature during 1981–2010 CE.

Figure 1

Figure 2. (A) Polished section of stalagmite RM8 with two obvious hiatuses. The red arrow in A denotes the growth axis of RM8-2, whose age model is shown using a linear interpolation method (B) and as established by COPRA (C). The depth (0 mm) of the two models begins from the second hiatus. The age model based on linear interpolation (B) was used in this study. (D) The growth rate of RM8-2.

Figure 2

Table 1. U-Th isotopic compositions and 230Th ages of RM8-2.a

Figure 3

Figure 3. Stable isotopes and X/Ca records of RM8-2. (A, gray), (B, gray) and (C) all show the δ18O sequence of RM8-2, whose overall variation pattern is parallel with stalagmite δ18O records from Dongge Cave (A, dark blue) (Dykoski et al., 2005) and Lianhua Cave (B, green) (Zhang et al., 2013). The remaining records are δ13C (D), X-ray fluorescence (XRF)-scanned (E, light orange), and optical emission spectrometry–based Sr/Ca (E, dark orange), Ba/Ca (F), and Mg/Ca (G) of RM8-2. (H) Dating errors of RM8-2.

Figure 4

Figure 4. Cross-correlations between δ13C and X/Ca of RM8-2. (A) δ13C vs. Mg/Ca; (B) δ13C vs. Sr/Ca; (C) δ13C vs. Ba/Ca. Significant negative correlations occur between δ13C and the X/Ca of RM8-2.

Figure 5

Figure 5. Comparation of RM8-2 records with other climate reconstructions. (A) RM8-2 δ13C in red, and Lianhua (LH) δ13C in gray. (B) Reconstructed regional precipitation (RRP), which is obtained by differencing coeval δ18O values of Heshang (HS) and Dongge (DG) Caves (Hu et al., 2008). (C) PC1 (black) of RM8-2 δ13C (purple), Mg/Ca (red), Sr/Ca (orange), and Ba/Ca (green) records as regional rainfall index. (D) X-ray fluorescence (XRF)-scanned Sr/Ca of RM8-2. (E) The growth rate of RM8-2. (F) RAN15-MAAT (mean annual air temperature) record, which is reconstructed from stalagmite HS4 and represents regional temperature change (Wang et al., 2018).

Figure 6

Figure 6. Comparison of stalagmite records from Remi (RM) Cave with other paleohydroclimatic records. (A) Pollen-reconstructed rainfall from Gonghai (GH) Lake (Chen et al., 2015). (B) Speleothem δ13C record from Liuli (LL) Cave (Zhao et al., 2021). (C) Speleothem δ13C record from Wuya (WY) Cave (Tan et al., 2020). (D) Reconstructed regional precipitation (RRP), which is obtained by differencing coeval δ18O values of Heshang (HS) and Dongge (DG) Caves (Hu et al., 2008). (E) X-ray fluorescence (XRF)-scanned Sr/Ca records of RM8-2 (light green) and 10 year smoothed record (green, this study). (F) PC1 (green) of RM8-2 δ13C (purple), Mg/Ca (pink), Sr/Ca (orange), and Ba/Ca (gray) records as regional rainfall index. (G) Speleothem δ13C record from Shennong (SN) Cave (Zhang et al., 2021). The gray arrows denote the trends of the sequences before and after ~4.3 ka. The trends are in opposite directions in D–G. The specific change points and 1σ error, which are measured by a parametric nonlinear regression technique (Mudelsee, 2009), are marked by the black dots and numbers in D–G. In addition, the vertical orange bar marks the 4.2 ka event. During the study period, the Daxi, Qujialing, and Shijiahe cultures flourished in the Hanjiang Plain region (horizontal black bar).

Figure 7

Figure 7. (A) The settlement sites in Hubei Province during Neolithic times, including Daxi, Qujialing, Shijiahe, and post-Shijiahe cultures. The distribution of the sites during the post-Shijiahe culture was revised from Zhong (2019). The information for the sites during other cultural periods can be seen in the State Administration of Cultural Heritage of China (2002) and Xie et al. (2013). The digital elevation model (DEM) of the region is also displayed in A, with the data downloaded from Geospatial Data Cloud: http://www.gscloud.cn. (B) The spatial correlation between annual precipitation around Remi (RM) Cave (yellow dot) and the averaged CRU TS4.0 precipitation anomaly (detrend) during 1951–2019 CE (download from https://www.ncdc.noaa.gov). The scale on the bottom shows the correlation coefficients represented by different colors. The small deep-blue dots mark the records of catastrophic floods during the 4.2 ka event. The white box in B marks the region of A.