Research Articles

Holocene aeolian activities linked to Indian summer monsoon in the middle reaches of the Yarlung Zangbo River

  • LI Tuoyu , 1 ,
  • ZHANG Jifeng , 2, * ,
  • WU Yongqiu 3 ,
  • DU Shisong 3 ,
  • MO Duowen 4 ,
  • LIAO Yinan 4 ,
  • CHEN Zhitong 2 ,
  • LIU Jianbao 2 ,
  • LI Qing 5
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  • 1. Capital Normal University, Beijing 100048, China
  • 2. Key Laboratory of Alpine Ecology (LAE), Institute of Tibetan Plateau Research, CAS, Beijing 100101, China
  • 3. MOE Engineering Center of Desertification and Blown-sand Control, Beijing Normal University, Beijing 100875, China
  • 4. Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
  • 5. Institute of Geographical Sciences, Hebei Engineering Research Center of Geographic Information Application, Hebei Academy of Sciences, Shijiazhuang 050011, China
* Zhang Jifeng (1986-), Assisstant Professor, specialized in paleoclimatology and paleolimnology. E-mail:

Li Tuoyu (1985-), Associate Professor, specialized in environmental archaeology and aeolian research. E-mail:

Received date: 2020-03-20

  Accepted date: 2020-10-15

  Online published: 2021-02-25

Supported by

National Natural Science Foundation of China(41601191)

National Natural Science Foundation of China(41871070)

National Natural Science Foundation of China(41877460)

National Basic Research Program of China(2013CB956001)

Special Researcher Project of Henan Province

Copyright

Copyright reserved © 2020.

Abstract

Widespread aeolian deposits on the Tibetan Plateau (TP) have provided valuable palaeoclimatic information. However, the primary factors (e.g., climate factors, human activity, and vegetation cover) controlling aeolian deposition remain elusive. In this paper, we use a dataset that comprises new and published ages of Holocene aeolian sand and loess in the middle reaches of the Yarlung Zangbo River to identify the primary controlling factors and palaeoclimatic implications of aeolian deposition. Several intervals of enhanced aeolian accumulation centered at 8.5-7.8, 6.4-5.8, 4.5-4.0, 3.1-1.8, and 0.9 ka are identified, generally consistent with regional low rainfall events and weak Indian summer monsoon (ISM). This suggests that regional wetness, dominated by the ISM, may play a key role in modulating dust emissions and aeolian deposition on centennial timescales. Our results show that on centennial- to millennial-scales, ISM activity can be reconstructed by non-continuous aeolian deposits in the monsoon dominated TP.

Cite this article

LI Tuoyu , ZHANG Jifeng , WU Yongqiu , DU Shisong , MO Duowen , LIAO Yinan , CHEN Zhitong , LIU Jianbao , LI Qing . Holocene aeolian activities linked to Indian summer monsoon in the middle reaches of the Yarlung Zangbo River[J]. Journal of Geographical Sciences, 2020 , 30(12) : 2002 -2014 . DOI: 10.1007/s11442-020-1824-6

1 Introduction

The Tibetan Plateau (TP), with a mean elevation greater than 4000 m above sea level, plays a key role in modulating Asian and global climate systems (e.g., An et al., 2001; Molnar et al., 2010). Aeolian sediments are very widespread on the TP and have been used to reconstruct local and regional climatic and environmental changes (Lehmkuhl, 2000, 2014; Sun et al., 2007; Kaiser et al., 2009; Lai et al., 2009; Stauch et al., 2012, 2018; Stauch, 2015, 2016; Zhang et al., 2015; Feng et al., 2016; Dong et al., 2017). The TP contains aeolian sediments, which are mainly distributed on dry basins, wide river valleys, lakeshores, and other sites (Dong et al., 2017). These sediments always originate from local materials, including glacial outwash material (Sun et al., 2007; Zhang et al., 2015), fluvial/alluvial deposits, and exposed lake sediments from shrinking lakes (Lehmkuhl et al., 2000).
Although aeolian sand and loess deposits serve as an important archive for observing topographic and climatic events on the TP, the specific palaeoclimatic interpretations they reflect remain elusive. Generally, the formation of aeolian sediments requires three prerequisites: (1) availability of sediments for dust formation, (2) suitable wind for dust transportation, and (3) a suitable site for dust accumulation (Pye, 1995). Usually, the accumulation of aeolian sediments on the TP is interpreted as reflecting dry environments, while the formation of palaeosols is used as an indicator of wet climatic conditions (e.g., Lu et al., 2011; Chen et al., 2016). However, a number of recent studies have shown that the strongest aeolian accumulations occur during the relatively wet late Glacial and early Holocene, suggesting that suitable trapping conditions with sufficient vegetation cover may play a key role in the formation of aeolian sediments (Sun et al., 2007; Stauch, 2015; Qiang et al., 2016).
Local dust storms, sand dunes, and well-preserved aeolian sand and loess deposits are widespread in the southern TP (Li et al., 1999; Sun et al., 2007; Lai et al., 2009; Shen et al., 2012; Pan et al., 2014; Zhang et al., 2015; Li et al., 2016; Dong et al., 2017; Ling et al., 2019, 2020). Sun et al., (2007) dated loess deposits from several sites in the Yarlung Zangbo River (YZR) valley, southern TP, and found that aeolian deposits accumulated only after the last deglaciation and not during glacial periods. The authors suggested that the lack of glacial loess deposits was due to the minimal vegetation cover or the erosion of loess during deglaciation.
On the other hand, Lai et al. (2009) reported several ages of aeolian deposits from the Kyichu River valley, southern TP, throughout most of the last 100 ka, which is much older than what was previously thought. The authors worked with a dataset that comprises 24 ages of aeolian deposits and found episodic aeolian deposition at approximately 3, 8, 16-21, 33, and 79-83 ka, most of which can be explained through synchronous global arid events. Overall, a number of studies have reported late Quaternary aeolian deposits in the southern TP; however, only sporadic Holocene aeolian sediments have been reported, and their possible linkages to large-scale atmospheric circulations, such as the Indian summer monsoon (ISM) and the westerlies, remain unknown.
Previous studies have shown that the TP is predominantly controlled by the interplay between the ISM and the westerlies (Bohner, 2006; An et al., 2012; Zhu et al., 2015). Modern precipitation δ18O observations have shown that the ISM moisture can reach 34°-35°N in the southern part of TP (e.g., Yao et al., 2013), while the northern part of the TP is primarily dominated by westerlies. In the middle reaches of the YZR, annual precipitation mainly occurs in summer under the influence of the ISM, while the effects of mid-latitude westerlies on regional precipitation are limited. Several palaeo-moisture records based on lake sediments in the region showed several regional wet and dry intervals associated with ISM variability during the Holocene (Zhu et al., 2002; Bird et al., 2014; Conroy et al., 2017). In this paper, we use a dataset that comprises six new and 46 prior published ages of Holocene aeolian sand and loess in the middle reaches of the YZR to identify aeolian dynamics on centennial to millennial timescales, and their association with large-scale atmospheric circulation (e.g., the ISM).

2 Material and methods

The YZR, with a length of 2,057 km, is the longest river in the southern TP; it lies between the Gangdise and Nyainqentanglha mountains and the Himalayas orogeny (Figure 1). In summer, the ISM intrudes through the YZR valley, delivering most of this region’s annual precipitation, while in winter, the climate is cold and dry under the impact of mid-latitude westerlies (Zhang et al., 2017). Some reaches of the YZR are characterized by broad valleys that provided suitable sites for the formation of aeolian deposits, which were as large as 2736 km² in 2008 (Shen et al., 2012). Optically stimulated luminescence (OSL), thermoluminescence (TL), and radiocarbon (14C) methods have been used to date aeolian sand and loess in the YZR basin and its surrounding areas (Sun et al., 2007; Li et al., 2010; Zhang et al., 2015; Li et al., 2016). Due to rapid bleaching by sunlight, luminescence methods are the most appropriate technique to date aeolian sediments (Singhvi et al., 2001; Wintle and Murray, 2006). Occasionally, the radiocarbon ages of plant residues, charcoal, and total organic matter in aeolian deposits are also used to measure the ages of dust depositions.
Figure 1 Location of the study area (a) and distribution of aeolian sediment profiles in the middle reaches of the YZR (b). The boundary of westerlies and the ISM (dashed line; Chen et al., 2010) are also shown.
In this study, we sampled five aeolian profiles, named DRX, RM, WL, SK, and DPZ (Figures 1 and 2), in the YZR valley and obtained four OSL ages (Table 1) and two radiocarbon ages (Table 2). These aeolian profiles are located on the fluvial terraces or the foothills of mountains along the middle reaches of the YZR. Massive suspended sediments deposited in the braided river channels or alluvial fans are reworked by local near-surface winds in dry seasons, and they accumulate on the foothills of mountains along the river to form dunes and loess (Sun et al., 2007; Zhang et al., 2015). The DRX profile (29°21′59.2″N, 91°08′58.0″E) is located on a fluvial terrace and can be divided into four sedimentary units: 0-50 cm, fluvial sand; 50-60 cm, gravel unit; 60-90 cm, aeolian sand unit (an OSL age sample collected at 68-72 cm); 90-120 cm, gravel unit. The RM profile (29°21′10.0″N, 88°27′41.5″E) is located on a foothill and can be divided into three sedimentary units: 0-65 cm, aeolian loess unit with plant roots (an OSL age sample collected at 28-32 cm); 65-130 cm, palaeosol unit; 130-290 cm, aeolian loess unit (an OSL age sample collected at 208-212 cm). The WL (29°8′40.3″N, 93°40′35.9″), SK (29°17′58.1″N, 91°24′41.3″), and DPZ (29°17′0.4″N, 91°38′54.7″E) profiles are also located on foothills and consist mainly of aeolian sand with a thickness of approximately 440 cm. A charcoal sample from the aeolian sand of SK and an organic matter sample from the aeolian sand of WL were used for 14C dating of SK and WL, respectively (Table 2). An OSL sample was also collected from the aeolian sand of DPZ (Table 1).
Figure 2 Sediment logs and ages of aeolian sand and loess in the middle reaches of the YZR
Table 1 OSL dating results of aeolian sediments in the YZR basin
Sample Depth (cm) U (ppm) Th (ppm) K (%) Dose rate (Gy•ka‒1) De/Gy OSL age (ka)
DRX-OSL 68-72 1.56±0.3 13.95±0.7 2.41±0.04 3.73±0.27 2.93±0.30 0.79±0.10
RM-OSL-1 28-32 2.64±0.039 17.8±0.025 2.46±0.026 4.36±0.32 7.99±0.40 1.83±0.29
RM-OSL-3 208-212 3.09±0.038 19.2±0.024 2.06±0.030 4.17±0.31 19.35±0.98 4.64±0.36
DPZ-OSL-3 436-440 4.16±0.034 18.2±0.025 2.36±0.028 4.76±0.35 8.37±0.42 1.76±0.18
Table 2 Radiocarbon dating results of aeolian sediments in the YZR basin
Sample Depth/cm Dating material Conventional 14C age (BP, 2σ) Calibrated14C age (BP, 2σ)
SK-14C-1 435-439 Charcoal 2880±25 3005±37
WL-14C-1 50-55 Total organic matter 710±20 670±6
Pure quartz was extracted in a dark room with a dimmed red light for OSL dating. Optically stimulated luminescence measurements were carried out on an automated Risø TL/OSL-DA-20-C/D reader, and De values were calculated with the single aliquot regenerative-dose (SAR) protocol (Murray and Wintle 2000). Uranium (238U), thorium (232Th), and potassium (40K) concentrations were measured using inductively coupled plasma mass spectrometry (ICP-MS). The resulting dose rate for each sample was estimated based on depth, altitude, and geomagnetic latitude. Cosmic ray contributions were calculated based on Prescoott and Hutton (1994). The water content of each sample was set to 15%±7%. The measurement accuracy of the equivalent dose using the SAR protocol was approximately 2%.The OSL samples were measured at the Nanjing Normal University and the Qinghai Normal University. The materials used for the two radiocarbon dating samples were charcoal and total organic matter, and the radiocarbon dating was processed at Peking University. IntCal13 was used to calibrate all radiocarbon data were calibrated for the calendar year (Reimer et al., 2013).
To show the regional patterns of aeolian activity, we also considered prior published ages of aeolian profiles in the middle reaches of the YZR. Ultimately, we obtained a dataset that comprises ages of aeolian sand and loess in the middle reaches of the YZR, including 52 ages from 28 profiles (Table 3). These profiles are mainly distributed in the broad valley of the YZR, with a small amount distributed in the YZR tributary valley (Figure 1). Cumulative probability density functions have been widely used for OSL age (e.g., Singhvi et al., 2001; Lai et al., 2009; Stauch, 2015) and radiocarbon age (e.g., Hoffmann et al., 2008) distribution analysis. Each OSL and radiocarbon age was assumed to be a dust deposition event, and respective probability density functions were calculated using the mean value and standard deviation of each age. Cumulative probability density functions were calculated at 50-year intervals: for each time point, with an interval of 50 years, we summed up the probability values of all the ages to obtain a cumulative probability distribution record. Peaks of the summed probability density distributions were thought to represent intervals of heavy dust deposition.
Table 3 A dataset of synthesized ages of Holocene aeolian sediments in the middle reaches of the YZR
Section Depth (cm) Dating method Dating material Age (ka/cal ka BP) Latitude (°N) Longitude (°E) Altitude (m asl) Source
TB1 350 OSL Aeolian loess 2.70±0.20 29.3167 89.5500 3800 Sun et al., 2007
TB7 380 OSL Aeolian loess 11.00±1.20 29.3167 88.9167 3920 Sun et al., 2007
DAR1 300-325 14C Charcoal 3.15±0.08 Kaiser et al., 2009
STA1 50 OSL Aeolian sand 2.90±0.20 29.6331 91.0978 3660 Kaiser et al., 2009
STA1 180 OSL Aeolian sand 4.10±0.40 29.6331 91.0978 3667 Kaiser et al., 2009
STA1 280 OSL Aeolian sand 6.70±0.50 29.6331 91.0978 3667 Kaiser et al., 2009
QUX 1 280 OSL Aeolian sand 8.50±0.70 29.3553 90.7234 3603 Kaiser et al., 2009
QUX 2 325-330 14C Charcoal 7.78±0.07 29.3659 90.7556 3536 Kaiser et al., 2009
Section 48 67-73 OSL Aeolian loess 8.80±3.90 29.7333 89.8167 4571 Lehmkuhl et al., 2000
Section 49 47-53 OSL Aeolian loess 7.80±1.20 29.7667 89.8500 4835 Lehmkuhl et al., 2000
LXD 170 OSL Aeolian loess 7.90±0.90 29.3275 89.5386 3797 Hu et al., 2018
LXD 98 OSL Aeolian loess 3.20±0.30 29.3275 89.5386 3797 Hu et al., 2018
Xigaze 14C Organic matter 0.92±0.02 29.3057 88.8688 3811 Hu et al., 2018
TDD 87 OSL Aeolian loess 2.60±0.30 29.3372 90.3236 3687 Hu et al., 2018
TDD 195 OSL Aeolian loess 2.90±0.30 29.3372 90.3236 3687 Hu et al., 2018
TDD 285 OSL Aeolian loess 5.00±0.50 29.3372 90.3236 3687 Hu et al., 2018
JB 260 TL Aeolian sand 8.56±0.65 29.3969 89.3500 3890 Li et al., 2010
QS 430 TL Aeolian loess 8.85±0.53 29.3900 90.7578 4000 Li et al., 2010
GM 340 14C Organic matter 6.20±0.31 Li et al., 2010
GM 531 TL Aeolian sand 8.30±0.30 Li et al., 2010
Cha'er 65 14C Organic mattera 2.23±0.10 29.3895 89.2823 3856 Zheng et al., 2009
Cha'er 235 TL Aeolian sand 8.56±0.65 29.3895 89.2823 3856 Zheng et al., 2009
ZD 158 OSL Aeolian loess 5.90±0.20 29.2466 91.7120 3561 Zheng, 2009
ZD 628 OSL Aeolian sand 8.50±0.60 29.2466 91.7120 3561 Zheng, 2009
CGG 168 OSL Aeolian sand 1.82±0.16 29.3653 91.1491 3652 Li et al., 2020
CGG 287 OSL Aeolian sand 8.43±0.66 29.3653 91.1491 3652 Li et al., 2020
YJP1 0.4 OSL Sandy loess 1.90±0.10 29.4556 94.4693 2943 Ling et al., 2020
YJP1 0.9 OSL Sandy loess 3.90±0.30 29.4556 94.4693 2943 Ling et al., 2020
YJP1 1.4 OSL Sandy loess 4.40±0.30 29.4556 94.4693 2943 Ling et al., 2020
YJP1 1.9 OSL Sandy loess 4.30±0.30 29.4556 94.4693 2943 Ling et al., 2020
YJP1 2.5 OSL Sandy loess 5.10±0.40 29.4556 94.4693 2943 Ling et al., 2020
YJP1 3 OSL Sandy loess 3.20±0.20 29.4556 94.4693 2943 Ling et al., 2020
YJP1 3.6 OSL Sandy loess 8.30±0.60 29.4556 94.4693 2943 Ling et al., 2020
YJP2 1.7 OSL Sandy loess 110±0.90 29.4556 94.4693 2943 Ling et al., 2020
MLP 6.5 OSL Aeolian sand 4.50±0.30 29.1189 93.7781 3004 Ling et al., 2020
MLP 10 OSL Aeolian sand 6.20±0.50 29.1189 93.7781 3004 Ling et al., 2020
LXP 1.3 OSL Sandy loess 4.90±0.40 29.0668 92.7993 3172 Ling et al., 2020
LXP 2 OSL Sandy loess 6.50±0.50 29.0668 92.7993 3172 Ling et al., 2020
SRP 0.7 OSL Aeolian sand 0.40±0.10 29.2617 91.9873 3553 Ling et al., 2020
Section Depth (cm) Dating method Dating material Age (ka/cal ka BP) Latitude (°N) Longitude (°E) Altitude (m asl) Source
SRP 1.4 OSL Aeolian sand 0.80±0.10 29.2617 91.9873 3553 Ling et al., 2020
SRP 2.1 OSL Aeolian sand 1.00±0.10 29.2617 91.9873 3553 Ling et al., 2020
SRP 2.8 OSL Aeolian sand 1.10±0.10 29.2617 91.9873 3553 Ling et al., 2020
SRP 3.5 OSL Aeolian sand 1.00±0.10 29.2617 91.9873 3553 Ling et al., 2020
SRP 4.2 OSL Aeolian sand 1.20±0.10 29.2617 91.9873 3553 Ling et al., 2020
SRP 4.9 OSL Aeolian sand 4.10±0.40 29.2617 91.9873 3553 Ling et al., 2020
LCP 2.9 OSL Sandy loess 9.20±0.80 29.3872 89.3254 3815 Ling et al., 2020
DRX 70 OSL Aeolian sand 0.79±0.10 29.3664 91.1494 3656 This study
RM 30 OSL Aeolian loess 1.83±0.29 29.3528 88.4615 3876 This study
RM 210 OSL Aeolian loess 4.64±0.36 29.3528 88.4615 3876 This study
WL 52 14C Organic matter 0.67±0.01 29.1445 93.6766 3092 This study
SK 437 14C Charcoal 3.01±0.04 29.2995 91.4115 3557 This study
DPZ 438 OSL Aeolian sand 1.76±0.18 29.2835 91.6485 3584 This study

3 Results and discussion

The cumulative probability density curve of the ages of Holocene aeolian sediments in the middle reaches of the YZR, as shown in Figure 3a, shows the strongest deposition during the late Holocene and weak aeolian activity during the early Holocene. This contrasts with aeolian activity reports on the northeastern TP, in which several recent studies have reported increased dust accumulation during relatively wet late Glacial and early Holocene periods, highlighting the key role of vegetation cover as a dust trap in aeolian sediment accumulation (Stauch, 2015). Our synthesized curve is also punctuated by several strong dust deposition events (Figure 3a) centered at 8.5-7.8, 6.4-5.8, 4.5-4.0, 3.1-1.8, and 0.9 ka. Two of these events are similar to those reported in Lai et al. (2009) that analyzed a YZR tributary.
Figure 3 Comparison of the probability density curve for Holocene aeolian sediment ages in the middle reaches of the YZR (a) with other palaeoclimatic records: (b) summer insolation at 30°N (Berger and Loutre, 1991); (c) a lake-level record reconstructed by the PC1 grain size of the Lake Paru Co (Bird et al., 2014); (d) isotopic divergence between C23 and C31 n-alkanes (ΔδD) in Hongyuan peat (Seki et al., 2011); (e) a stalagmite δ18O record from southern Oman (Fleitmann et al., 2003).
Several events of increased dust deposition in the middle reaches of the YZR, such as the event around 8 ka, have not been reported on the northeastern TP (e.g., Stauch, 2015), suggesting different mechanisms for aeolian sedimentation in the southern and northeastern TP. First, this difference can be related to the different atmospheric circulation backgrounds of the two regions. The northeastern TP is mainly influenced by the East Asian summer monsoon, while the southern TP is mainly impacted by the ISM. Second, this difference can be explained by the different mechanisms for the supply of dust to the two regions. The much larger area of desertic land on the northeastern TP may provide sufficient supplies of dust during the early Holocene. Thus, improved vegetation cover, as a sediment trap, may contribute to an enhanced aeolian deposition during the early Holocene. In contrast, aeolian sediments in the YZR valley are supplied by local dust, which is mainly generated from small areas of outwash sediment and desertic land in the low-level floodplains (Sun et al., 2007; Zhang et al., 2015). Strong ISM activity in response to high summer insolation (Figure 3b) and increased regional monsoon rainfall during the early Holocene (Fleitmann et al., 2003; Gupta et al., 2003) may improve vegetation cover in the source area and significantly inhibit dust supply and aeolian activity in the middle reaches of the YZR. Finally, the confined valley landscape of the YZR, which differs significantly from the open terrain in northern TP, may partly explain the differences in aeolian activity between the two regions.
To gain a better understanding of the controlling factors of aeolian sedimentation in the middle reaches of the YZR, we compared our records with regional palaeoclimatic records. Reconstructed aeolian activities identified in this study are generally consistent with regional palaeohydrological records on the TP. Monsoon rainfall record collected from Paru Co, which is located in the southern TP, shows that several intervals of increased dust deposition mostly happen in the dry seasons (Bird et al., 2014) (Figure 3c). In this study, the strong aeolian sediment accumulation events approximately 8.5-7.8, 6.4-5.8, and 3.1-1.8 ka are consistent with several dry season intervals identified by a rainfall record based on leaf wax hydrogen isotopic evidence from Hongyuan peat (Seki et al., 2011) (Figure 3d). A pollen record from Lake Tangra Yumco, in central TP, has identified several weak ISM events at 8.2-7.4, 5.5, 4.7-3.7, and 3.2 ka (Ma et al., 2019), which are largely consistent with several dust deposition events identified in this study, given the dating uncertainty of the different archives. Moreover, the drought event around 8.5-7.8 ka is also found in other lacustrine records in the western (Gasse et al., 1996; Hou et al., 2017), central (Zhu et al., 2008; Doberschutz et al., 2014; Ma et al., 2014), and eastern (Hong et al., 2003; Kramer et al., 2010) TP. Our research has made it possible to record a long duration of increased dust deposition at 3.1-1.8 ka, which is consistent with the expected significantly reduced monsoon rainfall events across the TP (Zhu et al., 2008; Liu et al., 2009; Xie et al., 2009; Kramer et al., 2010; Zhao et al., 2011; Hou et al., 2017; Shi et al., 2017).
Modern precipitation isotope observations have shown that moistures transported by the ISM can invade the TP through the Brahmaputra/YZR valley and reach as far as the Tanggula Mountains (Tian et al., 2001, 2007). To identify the main climatic controlling factors for dust deposition in the southern TP, we compared our results with several records of ISM activity in Asia that have been reconstructed by marine sediment and stalagmite. Our reconstructed aeolian activity intensity in the YZR basin is perfectly consistent with the ISM variability reconstructed by a stalagmite δ18O record from the Qunf Cave in southern Oman (Fleitmann et al., 2003) (Figure 3e) and a G. bulloides percentage record from the Arabian Sea (Gupta et al., 2003). Several intervals of strong aeolian accumulation found in this study, subject to dating error, coincide with pauses of weak summer monsoons despite the two weak monsoon events during the early Holocene. The strongest dust sedimentation at 3.1-1.8 ka is associated with a period of hiatus of stalagmite growth in the Qunf Cave (Fleitmann et al., 2003) and a period with the most positive δ18O values in the Dongge Cave (Wang et al., 2005), suggesting that severe drought may have caused this long-lasting increased dust deposition. Generally, the similarity of our results with above ISM records suggests that the regional rainfall in the southern TP, controlled by ISM circulations, may play a key role in regulating regional aeolian activity during the Holocene. Several previous studies have also found a strong correlation between aeolian activity on the TP and summer monsoon intensity (Thompson et al., 2000, Qiang et al., 2014). An ice core record from Dasuopu, in the Himalayas (Thompson et al., 2000), showed that dust storm frequency has increased over the last 200 years, consistent with reduced ISM rainfall (Chu et al., 2011). In general, weaker summer monsoon winds and reduced summer rainfall can prolong wind erosion periods and also lead to degraded vegetation cover, which can facilitate aeolian erosion and dust accumulation.
Different views exist on the main factors that control aeolian deposition on the TP. The formation of aeolian sediments requires/depends on the availability of dust sources, wind transportation, and suitable environment for dust deposition (Pye, 1995). Previous studies on the northeastern TP (Lu et al., 2011; Chen et al., 2016) have interpreted the accumulation of aeolian sand and loess as an indicator of a relatively dry environment that ensures an adequate dust supply. However, Stauch (2015) found that increased accumulation of dust occurred during the late Glacial and early Holocene across the TP, suggesting that vegetation cover, as a dust trap, may play a key role in the formation of these deposits. Sun et al. (2007), based on OSL ages of aeolian loess in the YZR valley, found that in the southern TP loess deposits had a basal age of 13-11 ka and concluded that the absence of full glacial loess is mainly due to minimal vegetation cover. In contrast, Lai et al. (2009) found older aeolian deposits in a YZR tributary and defined several intervals of increased sediment accumulation at approximately 16-21, 33, and 79-83 ka. The two aeolian sediment accumulation events at approximately 3 and 8 ka, which are identified in this study, have been explained to be associated with two drought events in response to consistent global climate changes. Based on a relatively larger dataset, we find five intervals of increased aeolian sediment accumulation in the middle reaches of the YZR during the Holocene, which tend to be associated with weak ISM events. The coincidence of dust deposition events with dry periods suggests that the predominant driver of aeolian sedimentation may be the climatic controlled dust emission, rather than vegetation cover. Recently, several studies have found footprints of permanent human occupation in central (Meyer et al., 2017; Zhang et al., 2018) and the northeastern (Chen et al., 2015, 2019) TP during the Holocene and earlier periods. As a result, the probable impact of human activity on aeolian activity during the Holocene cannot be ruled out. Due to a dearth of information on the extent of human activity in ancient southern TP, it is difficult to ascertain the extent to which human activity may have affected Holocene aeolian sand accumulations.

4 Conclusions

In this paper, we constructed a probability density curve of the ages of aeolian sand and loess in the middle reaches of the YZR, reflecting regional aeolian sediment accumulation intensity. We achieved this using a dataset that comprises new and prior published ages of Holocene aeolian sand and loess. In contrast to related studies on the northeastern TP, we found weak aeolian activities during the early Holocene in this region, and this may be associated with intensified ISM rainfall as a result of high summer insolation. Our results showed several intervals of increased dust accumulation centered at 8.5-7.8, 6.4-5.8, 4.5-4.0, 3.1-1.8, and 0.9 ka. These events are consistent with regional low rainfall events and weak ISM events. Regional monsoon rainfall/wetness, dominated by ISM activity, may play a key role in modulating dust emissions and aeolian deposition in the middle reaches of the YZR at centennial timescales. Overall, this study shows that aeolian deposits in the monsoon dominated TP can provide valuable information on past ISM activities. In the future, more effects of ISM activity would be identified with the availability of more data on the ages of aeolian sediments.
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