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ORIGINAL RESEARCH article

Front. Earth Sci., 13 June 2022
Sec. Quaternary Science, Geomorphology and Paleoenvironment
This article is part of the Research Topic Lake Records of Environmental and Climate Change on the Tibetan Plateau View all 22 articles

Paleoenvironmental Changes Since the Late Pleistocene Revealed by Ostracodes Record in Changmu Co., Western Tibet

  • MNR Key Laboratory of Saline Lake Resources and Environments, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing, China

A 4.9-m profile (BG-1) in Changmu Co., western Tibet, provides a continuous climate record from the Late Pleistocene to mid-Holocene on the basis of ostracode assemblages and shell trace elements. The results show six distinct climate change zones from 23.4 to 4.9 ka BP based on U-Th dating. The climate remained extremely cold until 13 ka BP because of the influence of the Last Glacial Maximum, which was indicated by the rare ostracodes occurring in this period. After that, the temperature rose gradually and the paleolake (Changmu Co.) enlarged. The ostracode assemblage during this period had high abundance and diversity, although the dominance of cold-water species and low Mg/Ca ratios indicate that the climate was still cold. More runoff water from a relatively warm climate entering into the lake, suggested by the increased U/Ca and Mn/Ca, led to a high lake level of 13–10.5 ka BP; this trend was also verified by the decreasing Sr/Ca values. The climate changed from humid to drought between 10.5 and 7.9 ka BP, which was inferred from the decreased abundance of ostracodes; however, there was a short humid period from 9.5 to 9.2 ka BP suggested by increased U/Ca and Mn/Ca ratios. A gradual transition to a humid environment began at 7.9 ka BP and ended at 5.3 ka BP. After this period, an extremely arid climate occurred after rising temperature and increasing evaporation, indicated by sharply increased Mg/Ca and Sr/Ca ratios. Eventually, the Changmu Co. paleolake shrank and dried up at some time after 4.9 ka BP. The changes in paleoclimate in Changmu Co. since the Late Pleistocene corresponded well to changes that occurred in the Westerlies-dominated Central Asia, suggesting that the climate in this region was mainly controlled by Westerlies circulation.

Introduction

Lake sediment is a useful material for paleoenvironmental and paleoclimatic studies because of its wide distribution and excellent continuity. Lake sediment also contains a variety of proxies, such as pollen, diatoms, ostracodes, clastics, and carbonate materials (Bradley 1998; William et al., 2001). A large amount of valuable paleoenvironmental data has been obtained from lake sediments in various parts of the world, and these data have been widely used for regional comparison and reconstruction of the paleoenvironment (Kim et al., 2015; Li et al., 2016; Lu et al., 2017). Ostracodes are aquatic bivalved crustaceans that live in most types of water bodies. They have a sensitive response to many environmental factors, including temperature, salinity, and lake water depth (Löffler, 1997; Curry, 1999; Yilmaz and Külköylüoglu, 2006; Song et al., 2015a), and they are important paleoenvironmental indicators in non-marine environments. Generally, different species of ostracodes prefer different environmental conditions and can flourish in these habitats (Yang et al., 2006). Ostracode shells, comprising low-Mg calcite, have also been used widely in paleoclimate studies (Chivas et al., 1983, Chivas et al., 1985, Chivas et al., 1986a, Chivas et al., 1986b; Holmes et al., 1995; Cronin et al., 2000; Schwalb, 2003; Decrouy et al., 2012; Schwalb et al., 2013). Trace element ratios in ostracode shells can be used as proxies for paleoclimate in lacustrine environments. The Mg/Ca molar ratio normally has a positive correlation with salinity and temperature of host water, while the Sr/Ca ratio is only positively related to the salinity of water (Holmes et al., 1999). The U/Ca ratio has been examined to infer past oxygen levels in the bottom water of the lake (Ricketts et al., 2001), with decreasing U/Ca value indicating lower oxygen availability (Yang et al., 2014). Mn can serve as a sensitive proxy for water level fluctuations in arid regions, and a long-term decrease in the input of Mn reflects a long-term climate drying (Yang et al., 2013).

A 12.4 m sediment core in the Lake Bangong basin, approximately 45 km to the west of Changmu Co., recorded environmental changes during the Holocene from 9.9 ka BP based on the radiocarbon ages (Fan et al., 1996; Fontes et al., 1996; Gasse et al., 1996; Van Campo et al., 1996). Climate changes and local hydrological factors may have induced extremely large changes in environmental conditions, which were revealed from the mineralogy, δ13C, and δ18O contents of authigenic carbonates. The regional climatic change was the major driving factor for ecological and hydrobiological changes in the lakes of western Tibet, as indicated by these biogenic remains. However, these studies do not mention the cause of climate change in western Tibet, which is a critical question and requires more study of paleoclimate records. The characteristics of paleoclimate evolution in Changmu Co. were almost unknown before, but such information is required to discuss the controlling factors of climate change in western Tibet. Here, we present the records of ostracode assemblages and trace elements in two species (Limnocythere dubiosa and Leucocythere subsculpta) in a profile from Changmu Co. (Figure 1) to characterize the high-resolution climatic changes in western Tibet since the Late Pleistocene. We also compare these changes with the paleoclimate records from other lakes in arid Central Asia to discuss the controlling factors of climatic evolution.

FIGURE 1
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FIGURE 1. Location of the research area in Tibetan Plateau and position of Bangong Co., Changmu Co., Tai Co., and BG-1 profile in western Tibetan Plateau.

Geological Setting and Climate

The BG-1 profile (33°27′48.53″N, 80°16′44.62″E, 4,313 m) is on the bank of Changmu Co. (Figure 1). Lake Changmu Co. is located approximately 50 km east of Rutog County in western Tibet. The catchment geology is characterized by light-colored gravel, gravel-silty soil, silty clay, and calcareous clay of the Pleistocene and Holocene (Liu et al., 2013). The areas are surrounded by two mountain ranges, the Karakorum Mountain to the north and the Gangdise Mountain to the south. The two mountain chains are glacier-developing regions that can provide ice meltwater to Changmu Co.

The research area is located in an extremely arid and cold region. The mean annual precipitation is 87 mm according to NASDE monitoring data from 2010 to 2014 (Hou et al., 2002), which is about 1/30 of potential evapotranspiration. The mean annual air temperature is about 2°C.

Materials and Methods

Profile BG-1 in Changmu Co. is about 490 cm thick. The upper 284-cm sediments were sampled at 4-cm intervals in the field for ostracode fossils, while it was sub-sampled at 5–6 cm intervals from 284 to 490 cm. Eight dating samples collected at different horizons in the upper 4 m are shown in Figure 2.

FIGURE 2
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FIGURE 2. Lithology characterization of BG-1 in Changmu Co. and eight U-series sample horizons in the profile with dating results.

230Th/234U Age Estimate in Carbonates and Experimental Procedures

U-series disequilibrium dating is based on the accumulation of 230Th as a result of the incorporation of 238U and 234U into the CaCO3 lattice at the time of formation. 230Th is a daughter product of 234U with a half-life of 75.2 ka. Because uranium solubility in natural water allows its precipitation with calcite, while thorium is quickly absorbed or precipitated as insoluble hydrolyzates when brought into solution, assuming that the initial amount of 230Th and 232Th incorporated into CaCO3 is zero, most or all of the 230Th measured in carbonates will have been derived from the decay of 234U (Ma et al., 2012). The age of carbonates can be determined from the extent of disequilibria between 230Th and 234U and between 234U and 238U by the following equation (Kaufman and Broecker, 1965).

Eight samples, including five shell samples and three carbonate-bearing clay samples, were submitted to the Uranium Chronology Laboratory of the Institute of Geology and Geophysics, Chinese Academy of Sciences for U-series dating. The five shell samples and one carbonate-bearing clay sample (BG-41) had high amounts of carbonate, providing confidence that the U-series technique should be suitable for dating these samples. The samples of BG-67 and BG-82 contained much detritus, and we corrected the detrital 230Th of them with the leachate–leachate (L/L) scheme (Schwarcz and Latham, 1989), which could be applied to impure carbonates and had yield-reliable age results in some cases (Peng et al., 2014). In order to establish a chronology, the Iso/Ex program (Ludwig and Titterington, 1994) was used to determine 232Th-free (230Th/238U) and (234U/238U) compositions by Osmond type-II regression techniques in an X-Y-Z plot (Wang et al., 2021). The reliability of a derived isochron age can be established statistically using the probability of fit and the mean sum of weighted deviations (MSWD) (Ludwig and Titterington, 1994). In cases where an isochron can be reliably fitted to the data set (probability of fit≈1, MSWD≤1), it can be assumed that the uncertainties associated with the age are a function of the analytical uncertainties (Candy et al., 2005, Alcaraz-Pelegrina and Martínez-Aguirre, 2007; Ma et al., 2010b).

About 8–10 g of the subsamples were weighed and baked in an oven at 800°C for 2 h after samples were crushed and homogenized and then dissolved in 2 M HNO3 (samples of BG-67 and BG-82 were dissolved with different nitric acid concentrations). As carrier and yield tracer, about 10 mg of Fe3+ and 228Th-232U spike was added to the sample solutions. Concentrated NH4OH was then added to the solution to allow U and Th to co-precipitate with Fe. Briefly, the solution was centrifuged to separate the precipitate, subsequently dissolved in 8 M HCl, and loaded onto an 8-M HCl-conditioned anion exchange column (BIORAD AG1×8, 100–200 meshes, 10 × 1 cm). Thorium passed through the column, while U and Fe were retained by the resin. Iron was washed off the column with a solution of 8 M NH4NO3-0.1 M HNO3. After removing the residual NH4NO3 with about 2 ml of 8 M HCl, U was eluted with 0.1 M HNO3. The Th aliquot was evaporated to dryness and dissolved in concentrated HNO3 to yield a 7 M HNO3 solution that was then loaded onto the same anion column, being converted to the NO3-form. Th was eluted off the column with 8 M HCl. The purified U and Th fractions were evaporated to dryness and taken up with 0.1 M HNO3. Th and U were then extracted with an 0.4-M TTA-benzene mixture at pH of 1–1.5 and 3–3.5 and evaporated onto stainless steel planchets heated on a hot plate. The planchets were burned to decompose the organic compounds in the extracted solution before final instrumental measurements. The recovery of this procedure is 85% for Th and 50% for U.

Alpha-spectra of U and Th isotopes were determined using an Octête plus alpha spectrometer, with a vacuum of 20 mT and an energy resolution (FWHM) of about 25 keV at 5.15 MeV. The measured alpha spectra of U and Th isotopes were corrected by variable factors (Ma et al., 2010a).

Ostracode Fossils Analysis and ICP-MS

Fifty grams of each sediment sample was soaked in deionized water for approximately 3 days and then sieved with a 200-mesh sieve. The sieved materials were dried at room temperature for the selection of ostracodes. We identified these ostracode species on the basis of “Chinese ostracode fossils (volume I and II)” (Hou et al., 2002; 2007). Two species of ostracodes, Limnocythere dubiosa and Leucocythere subsculpta, were selected and cleaned using a paintbrush with deionized water under the microscope for trace elements analysis in this study. All picked adult valves were generally well-preserved and hyaline. No dissolution evidence or clearly visible coating was observed on them. Totally, 38 valves for L. dubiosa and 43 valves for L. subsculpta were obtained from different depths of the BG-1 profile. After cleaning, the valves were dried and then fixed on glass slides using epoxy for ICP-MS analysis.

In situ trace element analysis for single valves was performed using an X-Series ICP-MS (Thermo Fisher Scientific, Germany) coupled with a J-100 343-nm Yb: Fiber femto-second laser ablation system (Applied Spectra, United States) housed at the National Research Center for Geoanalysis, Chinese Academy of Geological Sciences (CAGS), Beijing, China. Helium gas carrying the ablated sample aerosol from the chamber is mixed with argon make-up gas and nitrogen as an additional diatomic gas to enhance sensitivity. A baffled-type smoothing device was used in front of the ICP-MS to reduce fluctuation effects induced by laser-ablation pulsed and improve the quality of the data (Tunheng and Hirata., 2004). The ostracode valve samples were ablated for 50 s at a repetition rate of 8 Hz, at 10 J/cm2, and ablation pits were ∼50 μm in diameter. The calibration was performed externally using two NIST SRM 610 and one NIST SRM 612 for every 10 samples, with Ca as the internal standard to correct for instrument drift. Data reduction was carried out with the commercial software ICPMSDataCal 10.8 (Liu et al., 2008). Repeated analyses of the standards SRM 610 and SRM 612 indicate that both precision and accuracy are better than 10% for most analyzed elements (Li et al., 2018). Yang et al. (2014) suggested that the trace element ratios obtained by the spot analysis for the ostracode shells of the same taxa from the same depth in Tibet agreed well with that of the line-scan analysis and also reflected the hydrologic and hydrochemical changes effectively in the lake system, so we carried out two craters for each sample, and we assumed that the mean value was representative of the composition of the whole specimen.

Result

Chronology

The results of the radiochemical analyses on each of the samples are listed in Tables 1, 2. Activity ratios of 234U/238U of six samples in Table 1 range from 1.620 to 1.711, and the similar uranium isotopic ratios in the whole sequence indicate that the source of lake water is uniform in the Changmu Co. area and the sedimentary environment is relatively stable. In Table 2, the POF and MSWD of BG-67 and BG-82 are 0.012 and 2.5 and 0.076 and 1.8, respectively, meaning the dispersion degree of each sub-sample on the isochron is large, which may reduce the reliability of the dating. However, the two ages fall in the whole age profile sequence, which has a good corresponding relationship with the stratigraphic sequence. Therefore, the two age data can be acceptable geologically.

TABLE 1
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TABLE 1. U-Th isotope data from the BG-1 profile in western Tibet.

TABLE 2
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TABLE 2. Isochron age of profile BG-1.

Sediments in the upper 4 m of profile BG-1 recorded environmental evolution history in this area during 19.1–5.4 ka BP. Comparing the ages with corresponding positions in the profile, all ages were in stratigraphic order within the analytical errors, which allowed the establishment of a reliable chronology (Figures 2, 3). We plotted the age of 4.9 ka BP on the top of the BG-1 profile and 23.4 ka BP at the bottom by extrapolation due to the similar lithology. Most sedimentation rates varied from 0.12 mm/a to 0.29 mm/a, except 0.8 mm/a during 5,500 to 5,400 a BP and 0.73 mm/a during 9,500–9,170 a BP. The huge differences in sedimentation rate were highly related to the variations in lithology. From 5,500 to 5,400 a BP, the lithology was dominated by waterweeds, while during 9,170–9,500 a BP, shell fossils dominated. The rapid growth of waterweeds and shells resulted in a higher sedimentation rate.

FIGURE 3
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FIGURE 3. U-series chronological results of profile BG-1.

Ostracode Assemblages

A total of 106 samples were analyzed for ostracode fossils, and 62 samples contained ostracode shells. The largest abundance appeared at 12.2 ka BP with about 890 shells/g. The shells were especially common in the depth of 224–152 cm (13–10.5 ka BP) but almost absent at the phases of 180–168 cm (11.5–11.1 ka BP) and 104–88 cm (9.2–7.9 ka BP) in the BG-1 profile (Figure 5). Totally 13 species, belonging to eight genera were identified (Figure 4), that is, Limnocythere binoda, L. dubiosa, Leucocythere subsculpta, L. parasculpta, Candona houae, C. neglecta, C. candida, Candoniella lacteal, Ilyocypris gibba, I. bradyi, Limnocytherellina trispinosa, Heterocypris salinus, and Eucypris mareotica, in which, L. dubiosa and L. subsculpta were the dominant species.

FIGURE 4
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FIGURE 4. Dominant species of ostracodes from the BG-1 profile in Changmu Co. area. 1. Limnocythere dubiosa, Rv; 2. Limnocythere binoda, Lv; 3. Leucocythere subsculpta, Rv; 4. Leucocythere parasculpta, Lv; 5. Candona candida, Rv; 6. Candona houae, Rv; 7. Candona neglecta, Rv; 8. Candoniella lacteal, Lv; 9. Ilyocypris gibba, Rv; and 10. Ilyocypris bradyi, Rv.

Trace Element Chemistry of Ostracode Shells

Figure 6 shows the molar ratios of Mg/Ca, Sr/Ca, U/Ca, and Mn/Ca in the shells of Limnocythere dubiosa and Leucocythere subsculpta. Mg/Ca shows comparable values between the two species. Higher U/Ca and Mn/Ca are observed in L. dubiosa, while it is reverse in Sr/Ca, which should be attributed to the different habitats between L. subsculpta and L. dubiosa. Leucocythere inhabits the upper few centimeters of the bottom sediments, while Limnocythere lives mainly on the bottom with abundant plant debris because it cannot swim (Meisch, 2000). The climate-driven salinity variations in the arid regions of the Tibetan Plateau during the Holocene period were mainly due to the precipitation/evaporation (P/E) balance (Dorberschütz et al., 2013; Kasper et al., 2013), so compared to Limnocythere, Leucocythere should be more sensitive to the salinity fluctuation of lake water but relatively insensitive to the change of water depth. Generally, Mg/Ca and Sr/Ca exhibit similar fluctuations, with relatively low and stable values from 13 to 7.9 ka BP and higher values from 7.9 to 4.9 ka BP. Both U/Ca and Mn/Ca have the tendency of increasing from 13 to 10.5 ka BPand then decrease gradually until 9.2 ka BP. The other increases of U/Ca and Mn/Ca appear during 7.9–5.5 ka BP, and after 5.5 ka BP, both of them decrease again.

Discussion

Paleoclimate Change Inferred From Ostracodes in Changmu Co. Since 23.4 ka BP

Based on the variations of ostracode abundance (Figure 5) and the trace element ratios (Figure 6), we discussed the possible climate changes in Changmu Co. area since the Late Pleistocene in the following paragraphs.

FIGURE 5
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FIGURE 5. Ostracode abundance diagram (shells per 50 g sediment) of profile BG-1.

FIGURE 6
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FIGURE 6. Curves showing ratios of Mg/Ca, Sr/Ca, Mn/Ca, and U/Ca from ostracode shells; red spots represent molar ratios of Leucocythere subsculpta and blue spots represent molar ratios of Limnocythere dubiosa.

From 23.4 to 14.4 ka BP (zone 1A), there were almost no ostracodes present, likely because of the extremely cold climate induced by the Last Glacial Maximum (LGM). Ilyocypris bradyi, Limnocypris dubiosa, and Eucypris mareotica began to appear in zone 1B (14.4–13 ka BP), indicating that the temperature rose slightly compared with zone 1A. From the investigation of living ostracodes on the Qinghai–Tibetan Plateau, Song et al.(2015a); Song et al.(2015b) concluded that I. bradyi was widely distributed in fresh-brackish water bodies (salinity <5‰). This species preferred slow-running water and was found commonly in streams, ponds, and springs (Meisch, 2000; Yang et al., 2006; Liu et al., 2007). L. dubiosa can live in fresh, brackish, and saline water bodies but flourished in fresh-brackish waters (salinity<5‰) and polyhaline–euhaline waters (18‰–40‰), and they were the most widely distributed ostracodes on the plateau. E. mareotica was the dominant species in polyhaline waters (18‰–30‰) on the Qinghai–Tibetan Plateau; this species was eurythermal and could tolerate low temperatures. Therefore, the appearance of these three species from 14.4 to 13 ka BP indicates that there was a small amount of runoff water entering into the paleolake Changmu Co. because of the temperature increase after the LGM; however, the lake water was still saline, as indicated by the continuous appearance of the saline water species E. mareotica and L. dubiosa.

In zone 2 (13–10.5 ka BP), most of the ostracodes (i.e., Limnocythere binoda, L. dubiosa, Leucocythere subsculpta, Candona houae, C. neglecta, and Candoniella lacteal) were present at a maximum abundance, except in zone 2B (11.5–11.1 ka BP). Candona preferred fresh and cold water, with a temperature of <10°C (IEDQPA and NJGP, 1988). C. neglecta was mainly found in freshwater (salinity<0.5‰), with a temperature range of 5–8°C (Lu et al., 2019), and C. candida was very abundant in Pleistocene cold-climate deposits. Candoniella also preferred fresh-brackish water (Yang et al., 2006; Song et al., 2015a). Most species of Leucocythere were euryhaline; they were distributed widely in sediments from the Pliocene to Quaternary (Huang et al., 1985) and preferred cold environments (Liu et al., 2007). The flourishing of these species suggested that the water level of paleolake Changmu Co. increased, but the temperature was still low; this was inferred from the low Mg/Ca and Sr/Ca ratios but high Mn/Ca and U/Ca ratios in the shells of both species (Figure 6). As shown in Figures 4, 5, zone 2 could be divided into three sub-zones.

From 13 to 11.5 ka BP (zone 2A), ostracodes preferring cold and fresh-brackish waters, such as Candona neglecta, C. houae, Candoniella lacteal, and Leucocythere subsculpta, were the dominant species, which indicated cold and humid environment. The slightly increasing values of Mg/Ca during this period suggested that the temperature increased a little compared with zone 1 after the LGM, which induced more and more glacier meltwater into Changmu Co. The inflow of fresh melt-water not only enhanced the vertical mixing of the water column and increased the oxygen content of the lake bottom but also reduced the salinity of lake water, which was supported by the rapid increase of U/Ca and Mn/Ca and slight reduction of Sr/Ca in ostracode shells.

However, the warming trend was interrupted by an extremely detrimental condition that occurred in zone 2B (11.5–11.1 ka BP), characterized by a sharp decrease in ostracode abundance (Figure 5), which is attributed to the Younger Dryas (YD) event. The YD event had a global effect and was characterized by extremely cold weather (Jessen, 1938; Shen et al., 1996; deMenocal and Joseph, 2000; Genty et al., 2006; Liu et al., 2013; Cheddadi and Khater, 2016). In Bangong Co., no ostracode fossils were observed from 11.5 to 10 ka BP, which is likely attributable to the YD event (Li et al., 1994; Shen et al., 1996). In Changmu Co., the Mg/Ca ratios were steady and low in both species in zone 2B, implying the continuous low temperature. Mg/Ca in ostracode calcite depends on water salinity and temperature, but this dependence may be easily eclipsed by small Mg/Ca changes in the ambient water (De Deckker et al., 1999). Minor changes in the Mg/Ca ratio in zone 2B may be attributed to the changes in the Mg/Ca ratio of the host water during this extremely cold climate. The significant reduction in the U/Ca values may indicate less meltwater flowing into Changmu Co. and weak mixing that reduced the water level, demonstrated by the decreased Mn/Ca values. Compared with zone 2A, the average Sr/Ca ratio increased from 0.0029 to 0.0031 and from 0.0045 to 0.0052 in Limnocypris dubiosa and Leucocythere subsculpta, respectively, indicating that the salinity of the lake water increased. A possible explanation for this condition is that colder conditions during the YD event reduced the input of meltwater into Changmu Co., resulting in decreased oxygen availability in the host water and reduced water level. In these circumstances, the salinity of the lake water increased because of the strong evaporation.

The end of the YD event marks the warm beginning of the Holocene (Ding et al., 2014). This period coincided with a warm climate between 11.1 and 10.5 ka BP (zone 2C), as indicated by the restoration of the ostracode population. However, the dominance of certain species (i.e., Candida, Candoniella, and Leucocythere) suggested that the temperature was still low, which is also indicated by the low Mg/Ca ratios. During this period, the Sr/Ca ratios decreased, while the U/Ca ratios increased, implying a decrease in water salinity and an increase in oxygen availability in the host water induced by the inflow of fresh meltwater. The Mn/Ca ratios decreased slightly and may indicate that the water level dropped slightly because of the negative precipitation/evaporation balance.

In zone 3 (10.5–7.9 ka BP), the abundance of ostracode decreased gradually until extinction at about 9.2 ka BP, suggesting the aridity environment in this period. Zone 3 could be divided into three sub-zones as shown in Figure 6.

From 10.5 to 9.5 ka BP (zone 3A), decreased U/Ca and Mn/Ca indicated that there was reduced runoff into the lake and reduced lake level, while the increased Sr/Ca ratio implied that the salinity of lake water was increasing. These trends coincided well with those of the decreased ostracode abundance.

There was a short humid period between 9.5 and 9.2 ka BP (zone 3B), inferred by the increased U/Ca and Mn/Ca ratios and the decreased Sr/Ca ratio, but the abundance of ostracodes was still reduced. This may be attributed to the unsuitable environment occurring after the extreme drought climate.

Because there were no ostracodes observed from 9.2 to 7.9 ka BP (zone 3C), it is difficult to interpret the paleoclimate changes during this period. Zheng et al. (2012) reported a gradual drought from 10.3 ka BP to 7.9 ka BP in Tai Co., approximately 45 km northeast of Changmu Co., on the basis of ostracodes and charophytes. In the Bangong Co. area from 8.6 to 7.5 ka BP, there was significant lake regression, indicated by increasing littoral and saline diatom species (Gasse et al., 1996). Therefore, we inferred that the disappearance of ostracodes in zone 3C indicated a continuous arid environment.

The fluctuations of trace elements clearly indicate the changing paleoclimate between 7.9 and 5.5 ka BP (zone 4), although there was a low abundance of ostracodes. During this period, the distinctly increased Mg/Ca ratio suggested that the temperature was rising after 7.9 ka BP, leading to more meltwater flowing into the paleolake of Changmu Co. This increased the water level and decreased the water salinity, as inferred from the increased Mn/Ca and decreased Sr/Ca ratios. Lower oxygen levels in the bottom waters were indicated by the decreased U/Ca between 7.9 and 6.9 ka BP, which was possibly due to the water plants being mainly present in the stratum. Increased decomposition of organic matter consumes more oxygen in the host water, resulting in more reducing conditions at the lake floor (Yang et al., 2014). From 6.9 to 5.5 ka BP, the increasing U/Ca values implied strong mixing and increased oxygen availability at the lake bottom, along with more meltwater flowing into the lake.

An optimum period occurred from 5.5 to 5.3 ka BP (zone 5), although the lake level dropped slightly (inferred from decreased Mn/Ca and U/Ca). A large number of Limnocythere and Leucocythere and a small number of Candona re-appeared, suggesting a humid environment. The climate became warmer, as indicated by the gradually increasing Mg/Ca ratio, but the water salinity remained low, as indicated by low Sr/Ca; this result was compatible with the last bloom of freshwater species during 5.5–5.2 ka BP in Bangong Co. (Fan et al., 1996).

From 5.3 to 4.9 ka BP (zone 6), the temperature continued to rise, resulting in increased evaporation and an extremely dry climate, as indicated by the sharply increased Mg/Ca and Sr/Ca ratios. The U/Ca and Mn/Ca ratios continued to decrease, implying very little runoff into Changmu Co. The abundance and diversity of ostracodes decreased significantly during this period, and the low number of Limnocythere also indicated very high water salinity in an arid climate. After this period, the drought intensified further, and Changmu Co. shrank rapidly and eventually dried up at some time after 4.9 ka BP. The specific time when the paleolake Changmu Co. dried up was not determined, but it likely happened after 4.9 ka BP because the top of the profile BG-1 was 4.9 ka BP. When the paleolake water retreated from the area, the upper strata were eroded and not recorded in the profile.

The extremely dry climate after 5.3 ka BP, and especially after 4.9 ka BP, was also reflected in other records from lakes near Changmu Co. Profile TC-1 in Tai Co. (Figure 1) had a top age of 4.5 ka BP, implying a severely arid environment after 4.5 ka BP (Zheng et al., 2012). Sumxi Co. and Longmu Co. are two closed lakes situated approximately 120 km north of Changmu Co.; these lakes recorded decreases in the A/C ratio and heavy isotope contents at about 4.7–4.4 ka BP, also reflecting aridification (Gasse et al., 1991). In summary, all these records suggest that a large-scale drought event happened in the western Tibetan Plateau after 4.9 ka BP.

Comparison With Climate Records in Other Regions

It was very cold in Changmu Co. during the Late Pleistocene because of the LGM. Although the temperature rose slightly during the Early Holocene, as implied by the emergence of a large number of ostracodes, the dominance of the species Candona, Candoniella, and Leucocythere indicated that there was still a continuously cold environment. During this period, the paleolake expanded with meltwater supply, which is similar to Balikun Lake in the Westerlies-dominated region (Zhao et al., 2017) and Chibuzhang Co. in the north of Tibet (Dong et al., 2021). The alkenone records in Balikun Lake and the ostracode records in Chibuzhang Co. indicated that the rising temperature during the Late Pleistocene and Early Holocene led to more meltwater flowing into the lakes, rapidly increasing the water level.

Chen et al. (2008) concluded that the climate was arid during 11–8 ka BP, humid from 8 to 5 ka BP, and arid again after 5 ka BP, as determined by summarizing the sedimental records of 11 lakes in the Westerlies-dominated Central Asia. Alivernini et al. (2018) demonstrated that the Taro Co. areas, located in the south of Tibet, reached its highest level of the entire Holocene during 11.2–9.7 ka cal BP based on OSL dating and ostracod analysis. The ostracode assemblages and trace elements indicated that Changmu Co. was arid during 10.5–7.9 ka BP, humid during 7.9 to 5.3 ka BP, and arid again after 5.3 ka BP, which corresponded well to the paleoclimate changes in the Westerlies-dominated Central Asia and was a reverse of what was determined in Taro Co. areas. Zhao et al. (2017) determined that it was cold before 8 ka BP but increasingly warmer after 8 ka BP in Westerlies-dominated Central Asia, as inferred from the alkenone records in Balikun Lake. In Changmu Co., the constant low Mg/Ca ratios in ostracode shells also indicated a cold climate before 7.9 ka BP. After this period, the temperature increased gradually, as implied by the increased Mg/Ca ratios. Based on our data and previous studies, we infer that the paleoclimate change in Changmu Co. since the Late Pleistocene was mainly affected by Westerlies circulation.

Conclusion

A high-resolution ostracode record spanning from 23.4 to 4.9 ka BP was retrieved in Changmu Co., western Tibet. The climate remained cold until 7.9 ka BP and became especially warm after 5.5 ka BP. Changmu Co. enlarged sharply after the LGM and was interrupted by a shrink during 10.5–7.9 ka BP. At about 5.3 ka BP, and especially after 4.9 ka BP, a large-scale extreme drought event happened in the western Tibetan Plateau.

The changes in paleoclimate in Changmu Co. since the Late Pleistocene corresponded well to changes that occurred in the Westerlies-dominated Central Asia, indicating that the climate in this region was mainly controlled by Westerlies circulation.

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding author.

Author Contributions

GS handled the ostracode fossils of the samples and the experiments of trace elements and wrote this manuscript; HW collected the samples and designed the experiments.

Funding

This study was supported by the National Natural Science Foundation of China (No. U20A20148 and No. 41372179), the Fundamental Research Funds for Central Leveled Scientific Research Institutes (JYYWF20182701).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors, and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

We thank Professor Yang Fan from the Research Institute of Exploration and Development, Qinghai Oilfield Company for ostracode identification. This company was not involved in the study design, collection, analysis, interpretation of data, the writing of this article or the decision to submit it for publication.

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Keywords: ostracodes, trace elements, paleoclimate, late Pleistocene, Western Tibet

Citation: Song G and Wang H (2022) Paleoenvironmental Changes Since the Late Pleistocene Revealed by Ostracodes Record in Changmu Co., Western Tibet. Front. Earth Sci. 10:835937. doi: 10.3389/feart.2022.835937

Received: 15 December 2021; Accepted: 25 April 2022;
Published: 13 June 2022.

Edited by:

Zhang Chengjun, Lanzhou University, China

Reviewed by:

Zhibang Ma, Institute of Geology and Geophysics (CAS), China
Zhongping Lai, Shantou University, China

Copyright © 2022 Song and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Hailei Wang, d2FuZ2hhaWxlaTc3QDEyNi5jb20=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.