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A Chinese cave links climate change, social impacts, and human adaptation over the last 500 years

  • Scientific Reports 5, Article number: 12284 (2015)
  • doi:10.1038/srep12284
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Abstract

The collapse of some pre-historical and historical cultures, including Chinese dynasties were presumably linked to widespread droughts, on the basis of synchronicities of societal crises and proxy-based climate events. Here, we present a comparison of ancient inscriptions in Dayu Cave from Qinling Mountains, central China, which described accurate times and detailed impacts of seven drought events during the period of 1520–1920 CE, with high-resolution speleothem records from the same cave. The comparable results provide unique and robust tests on relationships among speleothem δ18O changes, drought events, and societal unrest. With direct historical evidences, our results suggest that droughts and even modest events interrupting otherwise wet intervals can cause serious social crises. Modeling results of speleothem δ18O series suggest that future precipitation in central China may be below the average of the past 500 years. As Qinling Mountain is the main recharge area of two large water transfer projects and habitats of many endangered species, it is imperative to explore an adaptive strategy for the decline in precipitation and/or drought events.

Introduction

In recent years, increasing attention is paid to the impact of climate change and adaptation strategies1,2. It is evident that climate change could pose critical impact on ecosystems and society. For instance, rainfall amount deviations directly affect agricultural crop yields, forest advance and retreat, and human health3,4,5. In particular, drought events have widely occurred on various timescales and in turn played an important role in changing social stability and human welfare during pre-historical and historical times6,7,8,9. Collapses of many ancient civilizations, such as the Neolithic culture in north central China10, the Akkadian Empire6, pyramid-constructing Old Kingdom civilization of Egypt9 and classic Maya11,12, have all been linked to intense droughts during mid- and late Holocene, on the basis of apparent synchronicities between proxy-inferred drought events and historically documented societal crises.

In the past decade, stalagmite δ18O records from China have characterized many aspects of the Asian monsoon variability over the past 500 ka years on centennial to orbital scales13,14,15. These records also show a possible linkage between climate change and the demise of several Chinese dynasties during the last 1800 years, such as Tang, Yuan and Ming Dynasties16,17. However, the relationship between Chinese stalagmite δ18O variations, monsoon climate change, and social crises is still in dispute18, and more evidence is required to evaluate the impact of past climate change.

Dayu Cave (33°08′ N, 106°18′ E, 870 m a. s. l.) is located on the southern slope of the Qinling Mountains, central China, and is more than 2 km long19 (Fig. 1). The cave has a high relative humidity (>97%) and high CO2 concentration (1600 ppm in the central pathway on 22 September, 2009). The cave temperature is 13.0 °C, consistent with the local annual mean temperature (12.9 °C). Climate in this region is dominated by the Asian monsoon system, with a mean annual rainfall of 1100 mm of which >70% are received during the summer monsoon months (June-October) (Fig. S1). Monitoring of precipitation above the cave between June 2010 and May 2011 shows that the δ18O of precipitation is lower during summer monsoon seasons (Fig. S2). Water balance analysis at the cave site indicates that most water surplus occurs between July and October (Fig. S1). Recharge of the aquifer thus occurs mainly during summer monsoon seasons. Spatial correlation analysis indicates that precipitation changes at the cave are positively correlated with those in central China (Fig. S3).

Figure 1: Location of Dayu Cave.
Figure 1

The upper panel is an overview topographic map showing the study region (red rectangle). Black arrows denote the directions of the East Asian summer monsoon, Indian summer monsoon, East Asian winter monsoon, and Westerly, which affect the climate in China. The lower panel is an enlarged map showing the location of Dayu Cave (33°08′ N, 106°18′ E, 870 m a. s. l.) in southern Qinling Mountains. The Hanjiang and Weihe River, as well as the Danjiangkou Reservoir are also shown. GTOPO30 data distributed by U.S. Geological Survey’s EROS (Earth Resources Observation and Science) Data Center were used to plot the topographic map with the software of Global Mapper 9.

Results

Many ancient inscriptions were disclosed in Dayu Cave, which indicate that local ancient people visited the cave frequently, at least 70 times during 1520–1920 CE. According to the inscriptions, seven major drought events were clearly described , occurring in 1528 CE, 1596 CE, 1707 CE, 1756 CE, 1839CE, 1891 CE and 1894 CE (Fig. 2), respectively. These inscriptions described many details of the droughts (Table 1). For example, one of them (Fig. 2A) stated: “On May 24th, 17th year of the Emperor Guangxu period, Qing Dynasty [the traditional Chinese calendar, equivalent to June 30th, 1891 CE], the local mayor, Huaizong Zhu led more than 200 people into the cave to retrieve water. A fortuneteller named Zhenrong Ran prayed for rain during a ceremony”. Three years later in 1894 CE (June 12th, 20th year of the Emperor Guangxu period, Qing Dynasty), another drought event occurred. The same mayor and fortuneteller again led more than 120 people into the cave to collect water (Fig. 2B). Another inscription indicated that “On June 8th, 46th year of the Emperor Kangxi period, Qing Dynasty [July 7th, 1707 CE], the governor of Ningqiang district came to the cave to pray for rain”.

Figure 2: Photos of ancient inscriptions inside Dayu Cave, which recorded seven drought events.
Figure 2

The yellow and red panels mark dates and the descriptions of drought events, respectively. All photos were taken in Dayu Cave by L Tan.

Table 1: Seven drought events recorded in the ancient inscriptions inside Dayu Cave during the period of 1500–1920 CE.

The seven drought events described in the inscriptions are notably reflected in the stable isotopic and trace elemental records of a stalagmite DY1 from the Dayu cave (Fig. 3). DY1 was collected about 1 km from the cave entrance, covering the period from ca. 1265 to 1982 CE continuously (Fig. S4, Table S1). The initial low-resolution δ18O results from DY1 stalagmite were reported in 200919. Here we built a more solid age model with additional six 230Th dates and a higher resolved (~1.3 yrs) stable isotopic and trace elemental profiles capturing annual δ18O, δ13C (Table S2) and Sr/Ca ratio variations during the last 500 years.

Figure 3: Comparison of drought events recorded in the inscriptions with speleothem δ18O, δ13C and Sr/Ca records in Dayu Cave during the last 500 years.
Figure 3

The black triangles indicate 70 visits recorded in the cave, with some occurred in the same year. The orange squares indicate seven historical drought events occurred in 1528 CE, 1596 CE, 1707 CE, 1756 CE, 1839CE, 1891 CE and 1894 CE, respectively. (A) δ18O record of DY1 (dark green). The red line represents annual rainfall amount record from the Ningqiang meteorological station, 38 km south of Dayu Cave, during the period 1957–2000 CE, with a 3-year moving average. (B) Detrended Sr/Ca record of DY1(light blue); (C) δ13C record of DY1 (purple). Black vertical bars show locations of 230Th dates, with errors of ±0.4 to ±4 years. The straight lines in panel A and C indicate the average δ18O (−7.19‰) and δ13C (−2.54‰) values of the entire series, respectively.

“Hendy test”20 results show that both the δ18O and δ13C remain constant along growth layers of DY1 (Fig. S5). Some limitations of “Hendy test” were reported. For example, the isotopic equilibrium could theoretically occur in the center of the speleothem at the same time that kinetic fractionation occurs at the flanks21. However, the stalagmite was most likely deposited at isotopic equilibrium conditions, if the isotopic values remain constant along growth layers. In addition, the DY1 δ18O record is similar to a calcite stalagmite SF1 (r = 0.21, N = 393, p < 0.001) from the Buddha Cave in the southern Qinling Mountains22, 300 km northeast of the Dayu Cave, on decadal scale, with different mineral compositions and amplitudes of δ18O variations (Fig. S6). The correlation coefficient is not very high, mainly because of the uncertainties of the chronology of SF1, which was based on two average growth rates during the last 500 years. The “Hendy test”20 and “Replication test”21 indicate that DY1 deposited under conditions close to isotopic equilibrium, and its δ18O and δ13C variations can be interpreted as proxies primarily reflecting climate and environment variations.

There is a significant negative correlation between the DY1 δ18O and the annual rainfall during the period between ~1957 and 1982 CE (r = −0.44, N = 24, p < 0.05). The correlation coefficient is not very high which may be ascribed to the “Smoothing effect” of the δ18O in drip water. The intra/inter- annual mixture of “fresh water” and “old water” may occurred in the karst aquifer23 of Dayu Cave, because of the thick epikarst zone (~80m). The age uncertainties may also play a role. The age model between the section of 1950–1982 CE of DY1 was built by an average growth rate of 0.197 mm/yr based on two 230Th dates at 1970 ± 1 and 1894 ± 0.4 CE. Because of possible variations in growth rate, the use of the average value may cause age uncertainties in given subsamples. Nevertheless, the δ18O sequence agrees with the observed annual and monsoon rainfall amount on long-term trend, with higher δ18O values corresponding to reduced precipitation, and vice versa (Fig. S7). During the last 500 years, the notable positive excursions in δ18O coincided with the droughts documented in the inscriptions, corroborating a generally inverse relationship between rainfall amount (mainly from summer monsoon) and speleothem δ18O in this region.

The δ13C values24 are relatively higher during each drought event in the last 500 years too (Fig. 3). In fact, there is a significant positive correlation (r = 0.37, P < 0.01, N = 393) between the δ13C and the δ18O records of DY-1 during 1500–1982 CE (Fig. S8). Speleothem δ13C values have bedrock, atmospheric, and soil gas sources25. As a result, many factors may affect the speleothem δ13C variations, including: (1) the fracture of epikarst zone and difference of lattice work in vadose zone (open/closed systems), (2) the extent of dissolution of the host rock, (3) the overlying vegetation types and density, (4) the microbial activity in the overlying soil, (5) prior precipitation of calcite (PCP) in the epikarst zone, (6) and the evaporation and degassing of drip water25,26,27. The constant temperature inside Dayu Cave suggests it is a closed system. Factors (3) and (4) are related to the vegetation change and climatic conditions. On decadal- to annual- time scales, cold and dry climate could reduce the vegetation cover and microbial activity, and result in higher δ13C values in speleothems. Factors (2) and (5) are related to hydrogeochemical processes in the epikarst zone and affected by climatic conditions. The increased residence time of the seepage water during drier conditions may allow more bedrock to be dissolved, favor PCP in the unsaturated zone, resulting in higher δ13C values in speleothem25,26,27. In addition, dry condition may enhance the evaporation and CO2 degassing of drip water28, and cause higher δ13C of speleothems in Dayu Cave.

As shown in Fig. 3, the droughts in 1596 CE, 1707 CE, 1756 CE, and 1839CE corresponded well with elevated Sr/Ca ratios. The other three droughts in 1528 CE , 1891 CE, and 1894 CE are also comparable with increased Sr/Ca ratios, considering age differences caused by different sampling intervals and paths. As discussed before, drier conditions could promote longer water residence times in the epikarst, decreased drip rates, and enhanced CO2 degasing into air voids within the unwetted epikarst. These conditions lead to Sr/Ca ratios higher than congruent bedrock dissolution due to preferential removal of Ca during PCP and increase the Sr/Ca ratio in speleothem29,30,31. The positive correlation between δ18O and Sr/Ca records of DY1 (r = 0.22, P < 0.01, N = 393) further confirm the observed inverse relationship between speleothem δ18O and rainfall amount in this region.

In summary, Dayu Cave provides for the first time an in situ comparison between historical drought events and speleothem records from the same cave. The in-phase variations in speleothem δ18O, δ13C and Sr/Ca during droughts in the last 500 years demonstrate a convincing anti-correlation between rainfall amount and speleothem δ18O in this region32.

Discussion

Impacts of climate change on local society

Historical documents show that drought events recorded in Dayu Cave caused serious social problems. For example, the drought of 1528 CE led to “a big starvation and cannibalism”33 around the Qinling Mountain region, from southern and central Shaanxi Province to eastern Gansu Province34. Droughts in the 1890s also caused severe starvation and triggered local social instability, which eventually resulted in a fierce conflict between government and civilians in 1900 CE35. A recent study suggested that the collapse of classic Maya civilization was caused by modest reduction in precipitation11,12. Similarly, comparisons between stalagmite δ18O changes and historical records inside Dayu Cave (Fig. 3) also provide robust evidence that even modest droughts during relatively wet periods had serious societal consequences. As shown in Fig. 3, the drought around 1596 CE was not very severe in comparison with others during the last 500 years in the Dayu δ18O record. However, in the context of the overall wet climate during 1530–1685 CE, the multi-year drought appears to be unusual and caused local societal unrest. The inscriptions (Fig. S9) describe the event as “mountains are crying due to drought”, and local people “came to the cave to get water” in July and August when the summer monsoon is presumably the strongest. The δ13C value of the stalagmite also reaches the highest value in the last 500 years in the drought in 1596 CE25.

As described in the inscriptions, in an attempt to adapt to droughts, people in the area came to the cave to obtain water and pray for rain. Likewise, during recent droughts in southwestern China, karst groundwater became a very important water source for local people. This demonstrates a common human adaptation to such climatic changes under similar conditions.

Future climate change in southern Qinling Mountain region

A time domain combined model36 was used here to evaluate potential future precipitation changes in the area on the basis of the Dayu δ18O series. The modeled δ18O series fits the original series before 1982 CE, and is then extrapolated for 60 years to 2042 CE (Fig. 4A). Strong coherence between the predicted δ18O series and the observed precipitation variations in the period of 1982–2012 CE further validate this approach (Fig. 4B). According to our predicted δ18O changes, precipitation between 1982 and 2042 CE will likely fall below the average over the past 500 years in central China. Two droughts, comparable with historical droughts, appear in the model: the 1990s and the late 2030s. Instrumental data confirm the first drought event in the 1990 s (Fig. 4B).

Figure 4
Figure 4

(A) Comparison between the original DY1 δ18O series (grey line) and the modeled (solid green line, with a 2-year resolution) and predicted stalagmite δ18O series (broken green line). The predicted interval is 1982–2042 CE. The straight black line indicates the average δ18O value during the last 500 years. The purple circles represent seven drought events recorded in the cave inscriptions during the period of 1520–1920 CE. The black circles denote two droughts predicted by the model, being occurred in the 1990 s and the late 2030 s, respectively. (B) Comparison between the predicted stalagmite δ18O (Broken green line) and annual precipitation records (red, with a 2-year moving average) in the Dayu Cave area.

Spectral analysis of the Dayu record yields significant periodicities at 96, 6.3, 3.4 and 2.8 years, with the 2.8, 3.4, and 6.3 year periods corresponding to the El Nińo–Southern Oscillation (ENSO) cycle (Fig. 5A). Spatial correlation analysis also indicates that the precipitation in Dayu Cave region anti-correlates with the sea surface temperature (SST) of Niño 4 region during the period of 1960–2009 CE (Fig. 5B). Results of climate model simulations suggest that the tropical Pacific SST gradient decreases under conditions of global warming, resembling El Nińo-like SST patterns37,38. If the current warming continues, precipitation may decrease in the cave region, which is consistent with our prediction.

Figure 5
Figure 5

(A) Spectrum analysis results of the DY1 δ18O record over the last 500 years. Numbers within the graph indicate significant periodicities of 96, 6.3, 3.4 and 2.8 years that are above the 95% confidence level. The analysis was performed using Redfit 3540. The 6.3-, 3.4- and 2.8-year periodicities correspond to the 2–7 year cycle of El Nińo–Southern Oscillation41. (B) Spatial correlation between the CRU gridded annual precipitation around the Dayu Cave area (33–33.5° N, 106–106.5° E) and the HadlSST1 SST datasets between 1960 and 2009 CE. The star indicates the location of Dayu Cave. The red box denotes a significant negative correlation region in cetral Pacific. The scale bar at the bottom shows the correlation coefficients represented by different colors. The analysis was performed by the KNMI Climate Explorer42.

Precipitation in the southern Qinling Mountain region is the main recharge of Danjiangkou Reservoir, which supplies water to the middle route of South-to-North Water Transfer Project in China. Recently, another large Hanjiang-to-Weihe River Water Transfer Project is under construction, and its water source is similarly recharged by precipitation in the southern Qinling Mountain region. In addition, Qinling Mountains are important refugia for many rare and endangered species including giant pandas (Ailuropoda melanoleuca)39. It is therefore crucial to explore an adaptive strategy to prepare for the possible future decline in precipitation and/or drought events in the region.

Methods

230Th dating

Stalagmite DY1 was cut into halves along the growth axis and polished. Subsamples for 230Th dating were obtained by drilling along the growth axis of the stalagmites with a hand-held carbide dental drill. The chemical procedure used to separate uranium and thorium followed those described in ref. S1. Measurements of uranium and thorium were performed on inductively coupled plasma mass spectrometers (ICPMS), Thermo-Finnigan ELEMENT and Thermo Fisher NEPTUNE, following procedures described in ref. S2 and ref. S3, respectively. Corrections for initial 230Th were made assuming an initial 230Th/232Th atomic ratio of 4.4 ± 2.2 × 10−6. A total of 15 230Th dates were obtained for DY1 (Table S1). Two-sigma date errors are less than 4 years for 13 layers. Linear interpolations between 230Th dates were used to establish the chronology (Fig. S4).

Stable isotope and trace elements analyses

We performed stable isotope analyses (δ18O and δ13C) for DY1 at intervals from 100 μm to 250 μm, depending on growth rate. All subsamples were analyzed on an on-line, automated carbonate preparation system (Kiel III) linked Finnigan MAT-252 gas source mass spectrometer (Table S2). International standard NBS19 and inter-laboratory standard TTB1 were measured every 10–15 samples. Arbitrarily selected duplicates were conducted to check the homogeneity and reproducibility. Stable isotopic values reported are relative to the Vienna PeeDee Belemnite (VPDB) standard. The standard results show that precisions of δ18O and δ13C analysis are better than 0.1‰ (2σ). Sr and Ca counts of the stalagmite were measured using the Itrax core scanner at the First Institute of Oceanography, State Oceanic Administration at 0.1 mm resolution.

The prediction model

The DY1 δ18O series was decomposed to determine the significant harmonics and their corresponding periodicities (ref. S4). Based on the cumulative variance contribution of ~90%, there were 82 significant harmonics. We then used an Auto Regressive And Moving Average [ARMA(p, q)] model to simulate the residual errors of the δ18O series, which were produced by subtracting period terms from the original series. According to the Bayesian information criterion, the degrees p and q of the ARMA model were selected as 2 and 3, respectively. By combining the periodic terms and the results of ARMA(p, q) model, the prediction model of the δ18O series was established36.

Additional Information

How to cite this article: Tan, L. et al. A Chinese cave links climate change, social impacts, and human adaptation over the last 500 years. Sci. Rep. 5, 12284; doi: 10.1038/srep12284 (2015).

References

  1. 1.

    National Research Council. America’s Climate Choices: Adapting to the Impacts of Climate Change (National Academies Press, 2010).

  2. 2.

    , , , & Global climate change, war, and population decline in recent human history. PNAS 104, 19214–19219 (2007).

  3. 3.

    et al. 2500 Years of European Climate Variability and Human Susceptibility. Science 331, 578–582 (2011).

  4. 4.

    , , , & Rapid Range Shifts of Species Associated with High Levels of Climate Warming. Science 333, 1024–1026 (2011).

  5. 5.

    et al. Prediction of seasonal climate-induced variations in global food production. Nat. Clim. Change 3, 904–908 (2013).

  6. 6.

    et al. Climate change and the collapse of the Akkadian empire: Evidence from the deep sea. Geology 28, 379–382 (2000).

  7. 7.

    Cultural responses to climate change during the Late Holocene. Science 292, 667–673 (2001).

  8. 8.

    et al. Climate and the collapse of Maya civilization. Science 299, 1731–1735 (2003).

  9. 9.

    & What drives societal collapse? Science 291, 609–610 (2001).

  10. 10.

    & Possible role of the “Holocene Event 3” on the collapse of Neolithic Cultures around the Central Plain of China. Quat. Int. 117, 153–166 (2004).

  11. 11.

    et al. Development and Disintegration of Maya Political Systems in Response to Climate Change. Science 338, 788–791(2012).

  12. 12.

    & Collapse of Classic Maya Civilization Related to Modest Reduction in Precipitation. Science 335, 956–959 (2012).

  13. 13.

    et al. Ice Age Terminations. Science 326, 248–252 (2009).

  14. 14.

    et al. The climatic cyclicity in semiarid-arid central Asia over the past 500,000 years. Geophys. Res. Lett. 39, L0170510.1029/2011gl050202 (2012).

  15. 15.

    et al. Millennial- and orbital-scale changes in the East Asian monsoon over the past 224,000 years. Nature 451, 1090–1093 (2008).

  16. 16.

    et al. Centennial- to decadal-scale monsoon precipitation variability in the semi-humid region, northern China during the last 1860 years: Records from stalagmites in Huangye Cave. Holocene 21, 287–296 (2011).

  17. 17.

    et al. A test of climate, run, and culture relationships from an 1810-year Chinese cave record. Science 322, 940–942 (2008).

  18. 18.

    , , & On linking climate to Chinese dynastic change: Spatial and temporal variations of monsoonal rain. Chin. Sci. Bull. 55, 77–83 (2010).

  19. 19.

    , , , & Summer monsoon precipitation variations in central China over the past 750 years derived from a high-resolution absolute-dated stalagmite. Palaeogeogr. Palaeoclimatol. Palaeoecol. 280, 432–439 (2009).

  20. 20.

    & Palaeoclimatic data from speleothem. Nature 219, 48–51 (1968).

  21. 21.

    & Limitations of Hendy test criteria in judging the paleoclimatic suitability of speleothems and the need for replication. J. Cave Karst Stud. 71, 73–80 (2009).

  22. 22.

    , & Climate variability in central China over the last 1270 years revealed by high-resolution stalagmite records. Quaternary Sci. Rev. 22, 691–701 (2003).

  23. 23.

    , & Hydrological modeling of stalagmite δ18O response to glacial-interglacial transitions. Geophys. Res. Lett. 40, 3207–321210.1002/grl.50555 (2013).

  24. 24.

    , , & Climatic and anthropogenic impacts on δ13C variations in a stalagmite from central China. Terr. Atmos. Ocean. Sci. 24, 333–343 (2013).

  25. 25.

    Palaeo-climate reconstruction from stable isotope variations in speleothems: a review. Quaternary Sci. Rev. 23, 901–918 (2004).

  26. 26.

    et al. Modification and preservation of environmental signals in speleothems. Earth-Sci. Rev. 75, 105–153 (2006).

  27. 27.

    et al. Transportation characteristics of δ 13C in the plants-soil-bedrock-cave system in Chongqing karst area. Sci. China Earth Sci. 55, 685–694 (2012).

  28. 28.

    , & Response of a modern cave system to large seasonal precipitation variability. Geochim. Cosmochim. Ac. 91, 92–108 (2012).

  29. 29.

    & Trace elements in speleothems as recorders of environmental change. Quaternary Sci. Rev. 28, 449–468 (2009).

  30. 30.

    , , & Climate influence on geochemistry parameters of waters from Santana–Pérolas cave system, Brazil. Chem. Geol. 244, 232–247 (2007).

  31. 31.

    & Speleothem trace element signatures: A hydrologic geochemical study of modern cave dripwaters and farmed calcite. Geochim. Cosmochim. Ac. 121, 522–545 (2013).

  32. 32.

    et al. Chinese cave records and the East Asia Summer Monsoon. Quaternary Sci. Rev. 83, 115–128 (2014).

  33. 33.

    (ed). Hanzhong Shi Zhi (History of Hanzhong city). CPC Central School Press, Beijing, 1994 p 13

  34. 34.

    Collection of weather records in China in the last 3000 years. 2nd edn, Jiangsu Education Press, 2013.

  35. 35.

    (ed). Ningqiang Xian Zhi (History of Ningqiang county). Shaanxi Normal University Publisher, Xi’an, 1995 pp 586–587

  36. 36.

    , & Preliminary study on the stalagmite δ18O record prediction of the monsoon boundary zone in the northern China. Chin. Sci. Bull. 58, 254–259 (2013).

  37. 37.

    , , , & Recent and future sea surface temperature trends in tropical pacific warm pool and cold tongue regions. Clim. Dyn. 39, 1373–1383 (2012).

  38. 38.

    , , , & Divergent global precipitation changes induced by natural versus anthropogenic forcing. Nature 493, 656–659 (2013).

  39. 39.

    Biodiversity research and conservation on Qinling Mountains in China. Science Press, Beijin, 2010.

  40. 40.

    & REDFIT: estimating red-noise spectra directly from unevenly spaced paleoclimatic time series. Comput. Geosci. 28, 421–426 (2002).

  41. 41.

    The evolution of El Niño, past and future. Earth Planet. Sci. Lett. 230, 227–240 (2005).

  42. 42.

    & Searching for decadal variations in ENSO precipitation teleconnections. Geophys. Res. Lett. 32, L1570110.1029/2005GL023110 (2005).

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Acknowledgements

We gratefully acknowledge the NBRPC (2013CB955902), NSFC (41372192; 41290254; 41230524; 41023006), and the WLF-CAS for funding this research. This study was also partially supported by Taiwan MOST (103-2119-M-002-022) and NTU (101R7625) grants. H.C. and R.L.E. received financial support from the U.S. NSF (EAR-0908792 and EAR-1211299), and S.F.M.B. received support from the Swiss NSF (CRSI22_132646/1).

Author information

Affiliations

  1. State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an 710061, China

    • Liangcheng Tan
    • , Yanjun Cai
    • , Zhisheng An
    •  & Yajuan Du
  2. Joint Center for Global Change Studies (JCGCS), Beijing 100875, China

    • Liangcheng Tan
  3. Institute of Global Environmental Change, Xi’an Jiaotong University, Xi’an 710054, China

    • Yanjun Cai
    • , Zhisheng An
    • , Hai Cheng
    •  & Haiwei Zhang
  4. Department of Earth Sciences, University of Minnesota, Minneapolis 55455, USA

    • Hai Cheng
    •  & R. Lawrence Edwards
  5. Department of Geosciences, National Taiwan University, Taipei 106, Taiwan

    • Chuan-Chou Shen
  6. Department of Earth Sciences, University of Cambridge, Cambridge, CB2 3EQ, UK

    • Sebastian F. M. Breitenbach
  7. Center for Water Research, Department of Geological Sciences, University of Texas at San Antonio, San Antonio 78249, USA

    • Yongli Gao

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Contributions

L.T., Y.C. and Z.A. conceived the project and wrote the first draft of the paper. H.C, R.L.E. and C.C.S. contributed to the 230Th dating. L.T. and H.Z. performed the stalagmite δ18O and trace element analyses. Y.D. performed the prediction model. S.F.M.B. and Y.G. gave constructive suggestions. All authors discussed the results, edited and commented on the manuscript.

Competing interests

The authors declare no competing financial interests.

Corresponding author

Correspondence to Liangcheng Tan.

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