Journal of Geoscience and Environment Protection
Vol.05 No.08(2017), Article ID:78145,18 pages
10.4236/gep.2017.58013

Middle-Late Pleistocene Paleo-Climate and Paleo-Altimetry of the Centre of Tibetan Plateau Indicated by the Sporopollen Record of Well QZ-4

Jianglin He1,2*, Jian Wang1,2, Weipeng Li3,4, Wei Sun1,2

1Chengdu Institute of Geology and Mineral Resources, Ministry of Land and Resources, Chengdu, China

2Key Laboratory for Sedimentary Basin and Oil and Gas Resources, Ministry of Land Resources, Chengdu, China

3Land and Resources College, China West Normal University, Nanchong, China

4Key Laboratory of Mountain Environment Evolution and regulation, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China

Copyright © 2017 by authors and Scientific Research Publishing Inc.

This work is licensed under the Creative Commons Attribution International License (CC BY 4.0).

http://creativecommons.org/licenses/by/4.0/

Received: July 7, 2017; Accepted: July 31, 2017; Published: August 3, 2017

ABSTRACT

The core sample from well QZ-4 is an important climate archive for the central Tibetan Plateau in the middle-late Pleistocene. In this work, a detailed pollen analysis of it is carried out to provide a preliminary insight into the paleo-climate and paleo-altimetry change in the central Tibetan Plateau. It can be concluded that the pollen assemblage can be obviously divided into two pollen zones, Pollen zone I (251.1 - 314 m in depth, 120.0 - 345.8 ka BP.) and Pollen zone II (200 - 251.1 m in depth, 105.4 - 120 ka BP.). The paleo-climate during pollen zone I deposition period was comparatively colder and wetter than it during the pollen zone II deposition period. After Gonghe Movement, the center of Tibetan Plateau was uplifted about 300 m (from 3500 - 3700 m to 3800 - 4000 m in elevation). The wind was changed from horizontal or downward direction to upward direction, in the study area. In the central of Tibetan Plateau, the climate change seems to be mainly driven by global climate change, and that tectonic uplift may have been a subordinate influence at the middle-late Pleistocene.

Keywords:

Tibet Plateau, Mid-Pleistocene, Palaeo-climate, Paleo-Altimetry, Gonghe Movement, Well QZ-4

1. Introduction

The Tibetan Plateau is not only the largest and highest mountain plateau on Earth, but it is also the site of the first successful terrestrial gas hydrate exploration in China [1] . In recent years, considerable attention has been focused on the study of the correlation between the uplift of the Tibetan Plateau and Quaternary climate evolution [2] , which is not only beneficial to the study of global climate change, but it is also beneficial to the study of permafrost surveys and the exploration of gas hydrates in the Tibetan Plateau. However, the existing results come from the surrounding area [3] [4] , and little study in the central Tibetan Plateau has been reported (Figure 1).

Previous studies have shown that, globally, the hottest period since the middle Pleistocene was at approximately 120 ka BP, which is recorded in the ice sheet above Lake Vostok in the southern hemisphere [7] and in Greenland [8] in the northern hemisphere. North Greenland Eemian Ice Drilling (NEEM) surface

Figure 1. (a) Map of the Tibet Plateau showing the location of the study area and well TS-95 [5] [6] , (b) Map of the Shuanghu area showing the geomorphological features in the study area and the location of well QZ-4 and well QD-1.

temperatures after the onset of the Eemian (126 ka) peaked at 8˚C ± 4˚C above the mean of the past millennium [8] . In the central Tibetan Plateau, the thermoluminescence (TL) dating of well QD-1 [9] , the 14C and 230Th/234U dating of well TS-95 [5] [6] and the Electronic Spin Resonance (ESR) dating of well QZ-4 show that the transition section of the colour sequence in the three wells was deposited at approximately 120 ka (Figure 2). Furthermore, the last rapid uplift of the Tibetan Plateau started at 150 ka BP, which is referred to as the Gonghe Movement [10] . After the Gonghe Movement (Figure 3), the average elevation reached almost 4000 m, at which the East Asian monsoon was apparently affected by the Tibetan Plateau [10] [11] . The paleo-climate study based on the cores of well QZ-4 will benefit the study of the correlation between climate changes in the central Tibetan Plateau and global climate change in the middle-late Pleistocene, which will contribute to the study of the correlation between the uplift of the Tibetan Plateau and Quaternary climate evolution.

In this work, the thickest Quaternary sedimentary formation in the central Tibetan Plateau was drilled in well QZ-4 (Figure 1), and the most complete core was collected. The cores are characterized by a colour sequence with three colour features: 1) the yellow subsequence (with dark yellowish-brown and brownish-red

Figure 2. The lithological association and the ESR, TL and 14C and 230Th/234U dating results of this color sequence in well QZ-4, well QD-1 [9] and well TS-95 [5] [6] with depth scale. The core images of this color sequence in well QZ-4.

Figure 3. Pollen and Spore percentage diagram for the well QZ-4 plotted against the depth and date. The data of the MIS curve are come from the website: https://commons.wikimedia.org/wiki/File:Vostok_Petit_data.svg?uselang=zh-sg.

colour) at the depth from 272.48 m to 314 m, 2) the grey subsequence (with dark grey and whitish-grey colour) at the depth from 198 m to 240 m, and 3) the transition section (with light greyish-green colour) interbedded with the brown and grey clay at the depth from 240 m to 272.48 m, which is consistent with the colour sequences observed in wells QD-1 [9] and TS-95 [6] , which are located in the central and north western Tibetan Plateau, respectively (Figure 2). The cores drilled in well QZ-4 are desirable archives for the study of climate change in the central Tibetan Plateau. In this paper, we present a detailed pollen analysis of the well QZ-4 in an effort to provide preliminary insight into the climate and the elevation change recorded in it.

2. Sample and Methods

Well QZ-4 is located in the central Tibetan Plateau, approximately 50 km east of Shuanghu County at 89˚14'E and 33˚5'N, with an elevation of 4932 m. The surrounding area is a flat terrain, in which the maximum elevation difference is smaller than 50 m. The rivers in this area are seasonal rivers, which are formed during the rainy season and flow west into Dirangbicuo Lake and Caiduochaka Lake (Figure 1). The bedrock around the QZ-4 well is the Tumengela Formation, which is composed of quartz-lithic sandstone and was deposited in a deltaic floodplain environment in the Late Triassic [12] . The total depth of this well is 314 m. The cores in the well were well collected at 190 - 314 m depth, partly collected at 0 - 110 m depth, and absent at 110 - 190 m depth. Basing on the core samples, core recovery, detritus and indicators of sedimentary environments (e.g., colour, lithologic characters, grain size, grain shape, particle roundness, sedimentary structures, and fossil assemblage) in the core samples, the stratigraphic sequence drilled in well QZ-4 can be subdivided into two sedimentary sequences.

The first sequence, at 0 - 198 m in depth, is a regressive depositional sequence, which consists of semi-deep lake facies, shallow lake facies, lake shore facies, meandering stream facies and flood plain from the deep to shallow layers in sequence. These facies are characterized by black grey clay and grey clay, light grey silty clay, light grey, yellow sand, and a yellow-brown sandy gravel layer, respectively.

The second sequence, at 198 - 314 m depth, consists of several transgressive-regressive depositional sequences, which consist of shallow lake facies, lake shore facies and semi-deep lake facies. In this sequence, the semi-deep lake facies is characterized by black grey clay, grey clay, dark yellowish-brown clay and brownish-red clay, with horizontal bedding at depths of 198 - 199.9 m, 203.18 - 221.68 m, 227.18 - 240.8 m, 247.88 - 260.78 m and 281.33 - 293.98 m. The shallow lake facies is characterized by yellow-brown silty clay interlayered with thin light-greysilty clay, brown clay, and white grey clay at depths of 199.9 - 203.18 m, 221.68 - 227.18 m, 240.8 - 247.88 m, 260.78 - 278.31 m, 293.98 - 296.18 m and 302.4 - 313.0 m. The lake shore facies is characterized by yellow-brown sand interlayered with white grey sand and brown clay at depths of 278.31 - 281.33 m, 296.18 - 301.7 m and 313.0 - 314 m (Figure 2).

A total of 20 samples with 5 m intervals were collected from the well QZ-4 for palynological analysis. Samples weights of 200 g were used to prepare pollen residues for the upper 244 m depth, and samples weights of 300 g were used to the lower depths. Samples were mostly prepared using standard techniques [13] , involving alkali digestion, treatment with 10% cold HCl, 10% hot KOH, 46% hot HF, and Erdtman’s acetolysis, staining with safranin, dehydration with tertiary butyl alcohol, and mounting in silicone oil. Prior to alkali digestion, moss polsters and soils were dispersed in distilled water and sieved (200 mm) to remove coarse detritus and sand. Lycopodium tablets were added to the samples to allow for estimation of pollen concentrations [14] . All samples have been studied under microscopes at Nanjing Institute of Geology and Palaeontology, Academic Sinica (Nanjing, China) and The Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences (Shijiazhuang, China). Leica microscope at a magnification of 400 was used for pollen identification and counting. More than 100 pollen grains were counted for each sample. Pollen abundance was expressed as percentages calculated using the total pollen sum.

3. Results

Most of the studied samples yielded rich, well-preserved palynomorph assemblages, with the identified sporomorphs representing about 75 taxa, including arboreal taxa, e.g. Pinus, Picea, Picea, Tsuga, Cupressaceae, Betula, Carpinus, Alnus, Juglans, Quercus, Fagus, Ailanthus, Ulmus, Tilia, Moraceae, Salix, Corylus, Ilex, Oleaceae, as well as scrubby and herbaceous taxa, e.g. Lonicera, Sambucus, Rosa, Spiraea, Rhododendron, Caragana, Reaumuria, Hippophae, Nitraria, Ephedra, Gramineae, Chenopodiaceae, Compositae, Chrysanthemum, Artemisia, Aster, Xanthium, Ranunculaceae, Ranunculus, Thalictrum, Polygonum, Rumex, Labiatae, Prunella, Euphorbia, Rosaceae, Potentilla, Sauguisorba, Papilionatae, Primula, Rubiaceae, Scrophulariaceae, Lythraceae, Cruciferae, Araliaceae, Geranium, Clerodendron, Gentiana, Solanaceae, Sedum, Umbelliferae, Saxifraga, Lilium, Arenaria, Macleaya, Urticaceae, Cyperaceae, Typha, and some fern spores, including Lycopodium, Sellaginella, Adiantaceae Pteris, Athyrium, Polypdiaceae, Polypodium, Lepisorus, Filicale. Some algal remains (e.g. Pediastrum) were also detected. The total spore and pollen sum was used to calculate the percentage of various spore and pollen taxa. As shown in (Figure 3), the pollen assemblage can obviously divided into two pollen zones.

Pollen zone I (251.1 - 314 m in depth, 120.0 - 345.8 ka BP.) is characterised by single species and low pollen concentrations. The average pollen concentration is around 0.4 grain/g, except the sample at 295.0 m in depth with 3.1 grain/g. In this pollen zone, the pollen species are particularly characterized by high abundance of tree, a few herb, shrubs and fern spores. The maximum proportion of tree pollen reaches 86.5%, with an average of 66.2%. The tree pollen principally includes Pinus (10.5% - 71.9%, av. 45.31%), Picea (5.6% - 29.0%, av. 17.4%) (Figure 3). Tsuga, Cupressaceae, Betula, Quercusetc. are occasionally seen in some samples. The average content of herb pollen is 19.2%. The herbs principally include Ephedra (0.9% - 18.9%, av. 7.0%), Chenopodiaceae (1.1% - 13.9%, av. 5.4%), Cyperaceae (0.2% - 6.8%, av. 2.1%) (Figure 3). Gramineae, Artemisia, Labiatae, Rosaceae, Typha etc. are occasionally seen in some samples, especially the Typha composes 25.9% of the total pollen sum at 295.0 m in depth. The maximum proportion of shrub pollen reaches 46.4%, with an average of 9.7%. The shrub principally includes Nitraria (0.5% - 12.7%, av. 4.2%) (Figure 3). Lonicera, Rosa etc. are occasionally seen in some samples, especially the Lonicera composes 38.8% of the total pollen sum at 256.9 m in depth. The fern spores are sporadically present in a few samples. The maximum proportion of fern spores is smaller than 0.9%.

Pollen zone II (200 - 251.1 m in depth, 105.4 - 120 ka BP.) is characterised by multiple species and high pollen concentrations. The average pollen concentration is around 2.8 grain/g. In this pollen zone, the pollen species are particularly characterized by a high abundance of herb, a few tree, shrubs and fern spores. The maximum proportion of herb pollen reaches 80.3%, with an average of 60.9%. The herb principally includes Thalictrum (4.2% - 50.5%, av. 28.8%), Chenopodiaceae (0.5% - 19.5%, av. 6.8%), Ephedra (0.7% - 12.9%, av. 4.7%), Gramineae (1.3% - 5.4%, av. 3.1%) (Figure 3). Artemisia, Ranunculus, Labiatae, Rosaceae etc. are occasionally seen in some samples. The maximum proportion of tree pollen reaches 61.9%, with an average of 24.5%. The trees principally are Pinus (0.5% - 35.6%, av. 16.11%) (Figure 3). Picea, Tsuga, Cupressaceae, Betula, Quercus etc. are occasionally seen in some samples. The maximum proportion of shrub pollen reaches 24.1%, with an average of 13.6%. The shrub principally include Nitraria (0.5% - 21.4%, av. 9.0%), Rosa (0.4% - 8.6%, av. 2.9%) (Figure 3). Lonicera, Spiraea, Hippophae, Reaumuria etc. are occasionally seen in some samples. The maximum proportion of fern spores reaches 1.7%, with an average of 1.0%. The fern spores principally is Athyrium (0.2% - 0.8%, av. 0.4%), Pteris, Polypodium, Lepisorus etc. are sporadically present in a few samples.

4. Discussion

4.1. Ecologic Environment

The sporopollen assemblage of pollen zone I is characterized by high percentages of arboreal taxa, e.g. Pinus, Picea and Abies, and low percentages of scrubby and herbaceous taxa. However, the sporopollen assemblage of pollen zone II is characterized by high percentages of shrub species and herbaceous taxa, e.g. Thalictrum, Rosaceae and Labiatae, and low percentages of arboreal taxa (Figure 3).

Many studies of the representation of Picea/Abies-pollen in modern sporopollen assemblages indicate that such assemblages are highly indicative of autochthonous vegetation [15] [16] . In pollen zone I, the average percentage of Picea and Abies is 17.4% (5.6% - 29.0%), which is suggesting that spruce and fir forests developed widely in the central of Tibetan Plateau. On the Tibetan Plateau today, Picea and Abies are the main representatives of sub-alpine dark coniferous forests and are principally distributed Gongga Mountain, Himalaya, Nyainqentanglha and Hengduan Mountains [15] [17] . However, in the pollen zone II, Picea and Abies are occasionally seen in some samples, with average percentage of 0.8% (0% - 4.9%). The pollen zone II is mainly composed of shrub species and herbaceous taxa, such as Labiatae [17] , Thalictrum [17] and Rosaceae (Yashiro et al., 2010) which are the major herb species of alpine shrub meadow in Tibetan Plateau. Hence, it can be deduced that during pollen zone I deposition period, the zonal vegetation in the central of Tibetan Plateau should have been subalpine dark coniferous forests. However, it has been alpine shrub meadow during pollen zone II deposition period.

4.2. Paleo-Temperature Interpretation

The study of Cordova et al. [18] shows that Quercus-Ulmus-Poaceae pollen assemblage zone and the development of a chernozem soil suggest cool-dry climate conditions. In well QZ-4, the Quercus-Ulmus-Poaceae pollen assemblage is observed in the pollen zone II, and the chernozem soil section is observed in this zone too (Figure 3). Meanwhile, it is known that Pinus prefers cool weather [19] . In the well QZ-4, the Pinus is observed in the both pollen zones. It is indicated that both the two pollen zones are deposited in the cool temperature regime.

On the other hand, Chenopodiaceae, Cyperaceae and Lamiaceae are suggesting dry and cold conditions [20] . In pollen zone II, Chenopodiaceae, Cyperaceae and Lamiaceae are richer than them in the pollen zone I. Meanwhile, the modern mean annual temperature is generally above 4˚C in the sub-alpine dark coniferous forests [15] and is no higher than −1˚C in the alpine shrub meadow in Tibetan Plateau [21] .

Hence, it can be concluded that both pollen zone I and II are deposited in a cool climate environment. The climate is comparatively cooler during the pollen zone II depositional period than the pollen zone I depositional period. In the central of Tibetan Plateau, the temperature was slightly declined in the middle-late Pleistocene.

4.3. Paleo-Humidity Interpretation

The study of Ji et al. [22] shows that the Thalictrum is normally in arid climates. In well QZ-4, Thalictrum is rich in pollen zone II (4.2% - 50.5%, av. 28.8%), but absent in the in the pollen zone I, which is indicating that regional climate is comparatively drier during the pollen zone II depositional period than the depositional period of pollen zone I.

Ephedra is typical desert plants and is often used as indicator of dry climate [23] . It is a perennial shrub and it is a very effective sand-binder. In Saudi Arabia, it is associated with sand dunes formation, especially the mobile, non-saline and low moisture content ones [24] . In the pollen zone I, the Ephedra principally is rich in the sand strata and absent in the clay strata. However, in pollen zone II, it is obviously richer in clay strata than sand strata (Figure 3). It is indicated that the Ephedra is principally associated with sand dunes formation in the pollen zone I. Nevertheless, in pollen zone II, the climate is so dry that the Ephedra is principally associated with the moisture. The regional climate is comparatively drier during the pollen zone II depositional period than the depositional period of pollen zone I.

Nitraria is one of dominant species in desertified steppe and desert [25] . Gramineae is better represented in dry than in moist forest [26] , and it is taken as dry climate [27] . Chenopodiaceae characterize dry environments [23] [28] . Rosaceae and Rosa are suitable for cool-dry conditions [29] . The Nitraria, Chenopodiaceae, Gramineae, Rosaceae and Rosa are enriched in pollen zone II (Figure 3), which are indicated that regional climate is comparatively drier during the pollen zone II depositional period than the depositional period of pollen zone I.

In brief, climate is comparatively drier during the pollen zone II depositional period than the depositional period of pollen zone I. In the central of Tibetan Plateau, the climate was dried in the middle-late Pleistocene.

4.4. Paleo-Altimetry Interpretation

Traditionally, air temperature decline with increasing elevation in free air (lapse rate) is considered the primary factor determining the position and composition of altitude-related vegetation zones [30] . The approaches basing on the correlation of temperature and altitude are applied to the reconstruction of paleo-alti- metry [15] , such as isotopes [31] , atmospheric pressure, enthalpy, pCO2, fossils, the δD of leaf-waxes and sporopollen assemblages. However, the practice shows that surface temperatures do not depend simply on elevation. For example, there is no trees growing in the area higher than 4500 m in the central of Tibet, such as the mean annual temperature is about −0.9˚C in the Bange county where the elevation is about 4500 m (Figure 4). However, multiple species of plant grow in the cold region such as the Mohe country in the Northeast of China. The mean annual temperature is at about −5.5˚C in Mohe country where the elevation is only about 400 m (Figure 4). Song et al. [30] suggested that palaeo-elevation can be deduced by enthalpy which is a combination of both temperature and humidity at a constant pressure. In fact, the air pressure is declining with increasing of elevation. The quantitative study of paleo-altimetry would be much more complex than existing research. Up to now, in the study area, there have been no quantitative temperature data (such as Uk’37 and TEX86), humidity data and air pressure data in middle-late Pleistocene. In present, the analogy analysisis likely more credible than quantitative estimation of palaeo-elevation which is based on the temperature, humidity and air pressure.

Figure 4. The vegetation distribution is not simply dependent on elevation, such as the present vegetation landscape in Mohe country [35] is obviously different from it in the Bange country [36] .

Fossil pollen is almost ubiquitous and this makes it attractive as the basis of a possible palaeoaltimeter. Based on their presumed Nearest Living Relatives, the climate and altitude can be studied through their taxonomic affinity and assumptions about past environmental tolerances [15] [30] [32] . In the eastern Tibetan Plateau, the distribution of modern pollen assemblages had been well study by Li et al. [17] , Zhang et al. [33] and Cheng and Luo [34] in the altitudinal transect from 1100 to 4500 m (Table 1). Based on previous work, the paleo-elevation of

Table 1. Modern altitudinal ranges of taxa and the percentage content of taxa in each pollen zone.

the pollen zone can be semi-quantitatively estimated by its pollen assemblages respectively (Figure 5).

Pollen zone I is dominated by Pinus (38.6%, 1200 - 4200 m), Picea and Abies (16.8%, 2700 - 3700 m), Ephedra (13.1%, 2400 - 5300 m), Lonicera (10.8%, 1200 - 5200 m), Chenopodiaceae (7.3%, 2000 - 5500 m), Gramineae (2.1%, 650 - 5600 m), Thalictrum (1.9%, 2800 - 4000 m), Cyperaceae (1.5%, 3700 - 4500 m), Cupressaceae (1.3%, 3700 - 4500 m), Rosa (1.1%, 860 - 5600 m) and Potentilla (1.0%, 3700 - 4500 m). It is showing that the pollen zone I was mainly came from the belt in the elevation of 3500 - 3700 m. Meanwhile, the pollen zone II is dominated by Thalictrum (33.9%), Pinus (19.5%), Chenopodiaceae (8.1%), Ephedra (5.5%), Betula (4.4%), Gramineae (3.6%), Labiatae (3.4%), Rosaceae (3.4%), Cyperaceae (3.4%), Potentilla (1.2%), Ulmus (1.2%), Lonicera (1.0%) and Rosa (1.0%). It is showing that the pollen zone II was mainly came from the belt in the elevation of 3800 - 4000 m.

In the eastern Tibetan Plateau, the subalpine dark coniferous forests are distributed in the belt range from 2800 to 3700 m above the sea level (asl) of Gongga Mountain [17] . The frigid dark coniferous forests are distributed in the belt range from 2800 to 3600 m・asl of Gongga Mountain (Li et al., 2009). Mountain dark coniferous forests are mainly distributed in the northern slopes of some mountains at an elevation of about 3100 - 3500 m・asl in the southeast and 2800 -

Figure 5. Plot of altitude ranges of presumed nearest living relatives of pollen taxa recovered from the eastern Tibetan Plateau. The pollen percentages of the pollen zone I and II is colored with orange and grey respectively. The distribution belt of the pollen zone I and II is expressed with the yellow and grey horizontal bars respectively.

3800 m・asl in the northwest of Tibetan Plateau [37] . As mention above, the pollen zone I is mainly deposited in the subalpine dark coniferous forests environment. Hence, it is reasonable that the pollen zone I was mainly came from the belt in the elevation from 3500 to 3700 m.

The alpine shrub meadows are distributed at an elevation of about 3700 - 4000 m・asl in Gongga Mountain [17] , 3800 - 4800 m・asl in the southern slope of mid-Himalaya Mountains [38] , above 3800 m in the eastern margin of the Tibetan Plateau [39] . As mention above, the pollen zone I is mainly deposited in the subalpine dark coniferous forests environment. Hence, it is reasonable that the pollen zone I was mainly came from the belt in the elevation of 3800 - 4000 m.

The study of the Zhou et al. [40] is shows that the elevation of the Plateau surface was raised about 300 m, from 4270 to 4570 m after the Gonghe Movement. Although the absolute altitude is inconsistence with our study, the rising height of the plateau surface is consistence with ours [40] . Meanwhile, our study is consistence with the paleo-elevation inferred from oxygen isotope of lacustrine deposits in the Kunlun Mountain Pass too. In the Pliocene period, the paleo-elevation was 3426 m from oxygen isotope of marlstone sample collected at 94˚03'58"E and 35˚38'18"N [41] . In the Pleistocene period, the paleo-elevation was 3773 m from oxygen isotope of marlstone sample collected at 94˚05'24"E and 35˚38'42"N [41] . The paleo-elevation was 3769 m from oxygen isotope of marlstone sample collected at 94˚05'44"E and 35˚38'51"N [41] . The elevation of Kunlun Mountain Pass was raised about 340 m (from 3430 to 3770 m) during the period from Pliocene to Pleistocene [41] . The modern elevation of Kunlun Mountain Pass is approximately 4780 m・asl. The modern elevation of the study area is approximately 4932 m, which is approximately 150 m higher than the Kunlun Mountain Pass. Hence, it is reasonable that the elevation of study area was raised about 300 m (from 3500 - 3700 m to 3800 - 4000 m) during the middle-late Pleistocene.

4.5. The Wind Direction Interpretation

Usually, air temperature is declining with the increasing elevation. As shown above, the elevation of study area was raised about 300 m (from 3500 - 3700 m to 3800 - 4000 m) during the middle-late Pleistocene. It seems to be contrary to the paleo-temperature interpretation that the climate is comparatively cooler during the pollen zone I depositional period than the pollen zone II depositional period. However, in the pollen zone I, part of the pollen (Cupressaceae, Gramineae, Cyperaceae and Potentilla) is come from higher altitude, but little is come from the lower altitude localities (Figure 5). It is indicated that the study area was located in the advection wind or down wind direction. In the pollen zone II, the pollen species are not only more numerous than them in Pollen zone I, but also the pollen assemblages in it are more complex. A little pollen (Potentilla) is coming from higher altitude localities, while a lot of pollen is come from the lower altitude localities (Tsuga, Alnus, Juglans, Quercus, Ulmus, Salix, Artemisia, Rosaceae) (Figure 5). It is indicated that the study area was located in the upwind direction. It can be concluded that the wind direction in the central of Tibetan Plateau was changed from horizontal or downward direction to upward direction at middle-late Pleistocene. During the pollen zone II depositional period, the pollen may be transported on to the high and relatively cold plateau from lower altitude warm temperate forests by upwelling wind (summer monsoon) [30] , which may be resulted the characteristics that the climate is comparatively cooler during the pollen zone I depositional period than the pollen zone II depositional period.

4.6. Influence of the Gonghe Movement

It is known that the hottest period since the middle-Pleistocene was at approximately 120 ka BP both in the southern hemisphere [42] [43] and northern hemisphere [8] . Meanwhile the Gonghe movement was started at 150 ka BP and persisted for about 50 ka [10] [11] (Figure 6). Hence, many studies regard the Plateau uplift as a possible driving force for the simultaneous enhancement of East Asian winter and summer monsoons as well as for the Mid-Pleistocene transition occurrence [44] [45] . However, some authors suggest that the mid- Pliocene climate changes in East Asia are unlikely to be a response to Plateau uplift [46] .

As shown above, the elevation of study area was raised about 300 m (from 3500 - 3700 m to 3800 - 4000 m) during the middle-late Pleistocene. As the elevation increased, the temperature would be decreased about 1.8˚C calculated with an air temperature gradient of 6 K/km. However, the MIS (marine isotope stage) curve shows that the annual temperature raised about 8˚C after the Gonghe movement (Figure 3). In the central of Tibetan Plateau, the temperature was slightly elevated in the middle-late Pleistocene. The climate change in the central of Tibetan Plateau was corresponding with the global climate change at the middle-late Pleistocene.

Figure 6. The coupling relationship between the uplift of Tibet Plateau and quaternary climate evolution (modified from reference [10] ).

In another face, the paleo-climate during pollen zone I deposition period was comparatively wetter than it during the pollen zone II, which is shown that the barrier effect of Tibetan Plateau to moisture is stronger and stronger with the elevation increasing of Tibetan Plateau. Hence, it can be concluded that the climate change in the central of Tibetan Plateau at the middle-late Pleistocene documented by the well QZ-4 core seems to be mainly driven by global climate change, and that tectonic uplift may have been a subordinate influence.

5. Conclusions

The comprehensive paleo-climate and paleo-altimetry studies of the pollen samples from the well QZ-4, in the centre of Tibetan Plateau, lead to the following conclusions:

1) In the well QZ-4, the pollen assemblage can obviously divided into two pollen zones. Pollen zone I (251.1 - 314 m in depth, 120.0 - 345.8 ka BP.) is characterised by single species and low pollen concentrations. Pollen zone II (200 - 251.1 m in depth, 105.4 - 120 ka BP.) is characterised by multiple species and high pollen concentrations.

2) The paleo-climate during pollen zone I was comparatively colder and wetter than it during the pollen zone II.

3) The paleo-elevation of pollen zone I is concentrated on the belt in the elevation from 3500 to 3700 m. The paleo-elevation of pollen zone II is mainly come from the belt in the elevation from 3800 to 4000 m. The study area had been uplifted about 300 m after the Gonghe Movement.

4) In the centre of Tibetan Plateau, the wind had changed from horizontal or downwelling wind to upwelling wind, in the middle-late Pleistocene.

5) In the central of Tibetan Plateau, the climate change seems to be mainly driven by global climate change, and that tectonic uplift may have been a subordinate influence in the middle-late Pleistocene.

Acknowledgements

This study was supported by the National Natural Science Foundation of China Nos. 41302092. Grateful acknowledgements are made to the Xizang Geothermal Geological Brigade, which provided the field help during the drilling process. Guobang Tong and Songmei Tong, coming from Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences, provided assistance for the identification of pollen. Jinhui Cheng, coming from Nanjing Institute of Geology and Palaeontology, Academic Sinicagave much help during sample preparation.

Cite this paper

He, J.L., Wang, J., Li, W.P. and Sun, W. (2017) Middle-Late Pleistocene Paleo-Climate and Paleo-Alti- metry of the Centre of Tibetan Plateau Indicated by the Sporopollen Record of Well QZ-4. Journal of Geoscience and Environment Protection, 5, 148-165. https://doi.org/10.4236/gep.2017.58013

References

  1. 1. He, J., Wang, J., Fu, X., Zheng, C. and Chen, Y. (2012) Assessing the Conditions Favorable for the Occurrence of Gas Hydrate in the Tuonamu Area Qiangtang Basin, Qinghai–Tibetan, China. Energy Conversion and Management, 53, 11-18.

  2. 2. Zhang, X. and Yang, T. (2015) Environmental Impacts of Hydraulic Fracturing in Shale Gas Development in the United States. Petroleum Exploration and Development, 42, 876-883.

  3. 3. Hoorn, C., Straathof, J., Abels, H.A., Xu, Y., Utescher, T. and Dupont-Nivet, G. (2012) A Late Eocene Palynological Record of climate Change and Tibetan Plateau Uplift (Xining Basin, China). Palaeogeography, Palaeoclimatology, Palaeoecology, 344-345, 16-38.

  4. 4. Xiao, G., Guo, Z., Dupont-Nivet, G., Lu, H., Wu, N., Ge, J., Hao, Q., Peng, S., Li, F., Abels, H.A. and Zhang, K. (2012) Evidence for Northeastern Tibetan Plateau Uplift between 25 and 20Ma in the Sedimentary Archive of the Xining Basin, Northwestern China. Earth and Planetary Science Letters, 317-318, 185-195.

  5. 5. Li, S., Zhang, H., Shi, Y. and Zhu, Z. (2008) A High Resolution MIS 3 Environmental Change Record Derived from Lacustrine Depostit of Tianshuihai Lake, Qinghai-Tibet Plateau. Quaternary Sciences, 28, 122-131.

  6. 6. Yu, S., Zhu, Z., Li, S., Li, B., Zhou, H. and Sun, Y. (1997) Environmental Records of Variation of Iron Oxides in Drill Core from Tianshuihai Lake on the Southern Flanke of West Kunlun Mountains. Geochemica, 26, 88-98.

  7. 7. Yamamoto, K., Yamashita, F. and Adachi, M. (2005) Precise Determination of REE for Sedimentary Reference Rocks Issued by the Geological Survey of Japan. Geochemical Journal, 39, 289-297.

  8. 8. Dahl-Jensen, D., Albert, M.R., Aldahan, A., Azuma, N., Balslev-Clausen, D., Baumgartner, M., Berggren, A.-M., Bigler, M., Binder, T. and Blunier, T. (2013) Eemian Interglacial Reconstructed from a Greenland Folded Ice Core. Nature, 493, 489-494.
    https://doi.org/10.1038/nature11789

  9. 9. Yi, H., Zhu, X. and Zhu, Y. (2006) Lake Level Change Recorded by Core of the Quaternary Lacustrine Sediment in the Central Tibetan Plateau and Its Climatic Implications. Earth Science Frontiers, 13, 300-307.

  10. 10. Li, J. (1991) The Environmental Effects of the Uplift of the Qinghai-Xizang Plateau. Quaternary Science Reviews, 10, 479-483.
    https://doi.org/10.1016/0277-3791(91)90041-R

  11. 11. Qiao, Y., Qi, L., Liu, Z., Wang, Y., Yao, H., Yang, J. and Zhao, Z. (2014) Intensification of Aridity in the Eastern Margin of the Tibetan Plateau since 300 ka BP Inferred from Loess-Soil Sequences, Western Sichuan Province, Southwest China. Palaeogeography, Palaeoclimatology, Palaeoecology, 414, 192-199.
    https://doi.org/10.1016/j.palaeo.2014.08.025

  12. 12. He, J., Wang, J., Sun, W., Zheng, C., Li, W., Guo, T. and Zeng, S. (2016) Geochemical Characteristics of Lake Clay Drilled in Well QZ-4: Its Implication for Geochemical Response to Climate Change in the Central Tibetan Plateau in the Middle-Late Pleistocene. Environmental Earth Sciences, 75, 1-14.
    https://doi.org/10.1007/s12665-016-6119-y

  13. 13. Lu, H., Wu, N., Liu, K.-B., Zhu, L., Yang, X., Yao, T., Wang, L., Li, Q., Liu, X., Shen, C., Li, X., Tong, G. and Jiang, H. (2011) Modern Pollen Distributions in Qinghai-Tibetan Plateau and the Development of Transfer Functions for Reconstructing Holocene Environmental Changes. Quaternary Science Reviews, 30, 947-966.
    https://doi.org/10.1016/j.quascirev.2011.01.008

  14. 14. Zhao, K., Li, X., Dodson, J., Atahan, P., Zhou, X. and Bertuch, F. (2012) Climatic Variations over the Last 4000 cal yr BP in the Western Margin of the Tarim Basin, Xinjiang, Reconstructed from Pollen Data. Palaeogeography, Palaeoclimatology, Palaeoecology, 321-322, 16-23.
    https://doi.org/10.1016/j.palaeo.2012.01.012

  15. 15. Wu, F., Herrmann, M. and Fang, X. (2014) Early Pliocene Paleo-Altimetry of the Zanda Basin Indicated by a Sporopollen Record. Palaeogeography, Palaeoclimatology, Palaeoecology, 412, 261-268.
    https://doi.org/10.1016/j.palaeo.2014.08.006

  16. 16. Xiao, X., Shen, J. and Wang, S. (2011) Spatial Variation of Modern Pollen from Surface Lake Sediments in Yunnan and Southwestern Sichuan Province, China. Review of Palaeobotany and Palynology, 165, 224-234.
    https://doi.org/10.1016/j.revpalbo.2011.04.001

  17. 17. Li, Q., Ge, Q. and Tong, G. (2012) Modern Pollen-Vegetation Relationship Based on Discriminant Analysis across an Altitudinal Transect on Gongga Mountain, Eastern Tibetan Plateau. Chinese Science Bulletin, 57, 4600-4608.
    https://doi.org/10.1007/s11434-012-5236-6

  18. 18. Cordova, C.E. (2007) Holocene Mediterranization of the Southern Crimean Vegetation: Paleoecological Records, Regional Climate Change and Possible Non-Climatic Influences. In: Yanko-Hombach, V., Gilbert, A.S., Panin, N. and Dolukhanov, P.M., Eds., The Black Sea Flood Question: Changes in Coastline, Climate and Human Settlement, Springer, Dordrecht, 319-344.
    https://doi.org/10.1007/978-1-4020-5302-3_13

  19. 19. Good, R.E. and Good, N.F. (1975) Growth Characteristics of Two Populations of Pinus rigida Mill. from the Pine Barrens of New Jersey. Ecology, 56, 1215-1220.
    https://doi.org/10.2307/1936162

  20. 20. Jaimand, K., Nejad, S., Monfared, A. and Akbarzadeh, M. (2014) Study of the Chemical Composition of Essential Oil of Teucrium chamaedrys at the Different Distillation in Mazandaran Province. Journal of Medicinal Plants and By-Products, 3, 193-198.

  21. 21. Li, Y., Sun, X., Zhao, X., Zhao, L., Xu, S., Gu, S., Zhang, G.F. and Yu, G. (2006) Seasonal Variations and Mechanism for Environmental Control of NEE of CO2 Concerning the Potentilla Fruticosa in Alpine Shrub Meadow of Qinghai-Tibet Plateau. Science in China Series D: Earth Sciences, 49, 174-185.
    https://doi.org/10.1007/s11430-006-8174-9

  22. 22. Ji, S., Xingqi, L., Sumin, W. and Matsumoto, R. (2005) Palaeoclimatic Changes in the Qinghai Lake Area during the Last 18,000 Years. Quaternary International, 136, 131-140.
    https://doi.org/10.1016/j.quaint.2004.11.014

  23. 23. Zhao, Y., Yu, Z., Chen, F., Liu, X. and Ito, E. (2008) Sensitive Response of Desert Vegetation to Moisture Change Based on a Near-Annual Resolution Pollen Record from Gahai Lake in the Qaidam Basin, Northwest China. Global and Planetary Change, 62, 107-114.
    https://doi.org/10.1016/j.gloplacha.2007.12.003

  24. 24. Wafa’a, A., Al-Qarawi, A.A. and Alsubiee, M.S. (2010) Effect of Water Stress by Polyethylene Glycol 8000 and Sodium Chloride on Germination of Ephedra alata decne Seeds. Saudi Journal of Biological Sciences, 17, 253-257.
    https://doi.org/10.1016/j.sjbs.2010.04.011

  25. 25. Zhang, J., Wu, B., Zhu, Y., Li, Y., Lu, Q. and Yao, B. (2013) Responses of Nitraria tangutorum to Water and Photosynthetic Physiology in Rain Enrichment Scenario. Acta Ecologica Sinica, 33, 172-177.
    https://doi.org/10.1016/j.chnaes.2013.03.008

  26. 26. Gentry, A.H., Bullock, S., Mooney, H.A. and Medina, E. (1995) Seasonally Dry Tropical Forests. Cambridge University Press, Cambridge.

  27. 27. Fujii, R. and Sakai, H. (2002) Paleoclimatic Changes during the Last 2.5 myr Recorded in the Kathmandu Basin, Central Nepal Himalayas. Journal of Asian Earth Sciences, 20, 255-266.
    https://doi.org/10.1016/S1367-9120(01)00048-7

  28. 28. Herzschuh, U. (2007) Reliability of Pollen Ratios for Environmental Reconstructions on the Tibetan Plateau. Journal of Biogeography, 34, 1265-1273.
    https://doi.org/10.1111/j.1365-2699.2006.01680.x

  29. 29. Chuanhu, Z. and Xing, C. (2010) Climatological Significance of Pollen Factors Revealed by Pollen-Climate Response Surface Functions in Dajiuhu, Shennongjia. Journal of Meteorological Research, 24, 699-712.

  30. 30. Song, X.-Y., Spicer, R.A., Yang, J., Yao, Y.-F. and Li, C.-S. (2010) Pollen Evidence for an Eocene to Miocene Elevation of Central Southern Tibet Predating the Rise of the High Himalaya. Palaeogeography, Palaeoclimatology, Palaeoecology, 297, 159-168.
    https://doi.org/10.1016/j.palaeo.2010.07.025

  31. 31. Xu, Q., Ding, L., Zhang, L., Cai, F., Lai, Q., Yang, D. and Liu-Zeng, J. (2013) Paleogene High Elevations in the Qiangtang Terrane, Central Tibetan Plateau. Earth and Planetary Science Letters, 362, 31-42.
    https://doi.org/10.1016/j.epsl.2012.11.058

  32. 32. Sun, J., Xu, Q., Liu, W., Zhang, Z., Xue, L. and Zhao, P. (2014) Palynological Evidence for the Latest Oligocene-Early Miocene Paleoelevation Estimate in the Lunpola Basin, Central Tibet. Palaeogeography, Palaeoclimatology, Palaeoecology, 399, 21-30.
    https://doi.org/10.1016/j.palaeo.2014.02.004

  33. 33. Xianhao, Z., Wenjing, Z. and Ji, L. (1999) The Characteristics of the Mountain Ecosystem and Environment in the Gongga Mountain Region. Joint Seminar on Ecosystem Research and Management in China, 28, 648-654.

  34. 34. Cheng, G. and Luo, J. (2001) Successional Features and Dynamic Simulation of Sub-Alpine Forest in the Gongga Mountain, China. Acta Ecologica Sinica, 22, 1049-1056.

  35. 35. Wang, X., Song, C., Wang, J., Miao, Y., Mao, R. and Song, Y. (2013) Carbon Release from Sphagnum Peat during Thawing in a Montane Area in China. Atmospheric Environment, 75, 77-82.
    https://doi.org/10.1016/j.atmosenv.2013.04.056

  36. 36. Cai, Y., Zhang, H., Cheng, H., An, Z., Lawrence Edwards, R., Wang, X., Tan, L., Liang, F., Wang, J. and Kelly, M. (2012) The Holocene Indian Monsoon Variability over the Southern Tibetan Plateau and Its Teleconnections. Earth and Planetary Science Letters, 335, 135-144.
    https://doi.org/10.1016/j.epsl.2012.04.035

  37. 37. Lu, H., Wu, N., Gu, Z., Guo, Z., Wang, L., Wu, H., Wang, G., Zhou, L., Han, J. and Liu, T. (2004) Distribution of Carbon Isotope Composition of Modern Soils on the Qinghai-Tibetan Plateau. Biogeochemistry, 70, 275-299.
    https://doi.org/10.1023/B:BIOG.0000049343.48087.ac

  38. 38. Lu, C. (2014) Spatial Distributing Characteristics of Land Use in the Southern Slope of Mid-Himalaya Mountains. In: International Society for Optics and Photonics, SPIE Asia Pacific Remote Sensing, International Society for Optics and Photonics, Bellingham, 92604N-92604N-7.

  39. 39. Zhou, W., Yu, S.Y., Burr, G.S., Kukla, G.J., Jull, A., Xian, F., Xiao, J., Colman, S.M., Yu, H. and Liu, Z. (2010) Postglacial Changes in the Asian Summer Monsoon System: A Pollen Record from the Eastern Margin of the Tibetan Plateau. Boreas, 39, 528-539.

  40. 40. Zhou, S., Wang, X., Wang, J. and Xu, L. (2006) A Preliminary Study on Timing of the Oldest Pleistocene Glaciation in Qinghai-Tibetan Plateau. Quaternary International, 154, 44-51.
    https://doi.org/10.1016/j.quaint.2006.02.002

  41. 41. Wu, Z., Zhao, X., Ye, P., Hu, D. and Zhou, C. (2007) Paleo-Elevation of the Tibetan Plateau Inferred from Carbon and Oxygen Isotopes of Lacustrine Deposits. Acta Geologica Sinica, 81, 1277-1288.

  42. 42. Vimeux, F.O., Cuffey, K.M. and Jouzel, J. (2002) New Insights into Southern Hemisphere Temperature Changes from Vostok Ice Cores Using Deuterium Excess Correction. Earth and Planetary Science Letters, 203, 829-843.
    https://doi.org/10.1016/S0012-821X(02)00950-0

  43. 43. Yamamoto, Y., Kitahara, N. and Kano, M. (2012) Long Memory Effect of Past Climate Change in Vostok Ice Core Records. Thermochimica Acta, 532, 41-44.
    https://doi.org/10.1016/j.tca.2011.11.033

  44. 44. Liu, D., Fang, X., Song, C., Dai, S., Zhang, T., Zhang, W., Miao, Y., Liu, Y. and Wang, J. (2010) Stratigraphic and Paleomagnetic Evidence of Mid-Pleistocene Rapid Deformation and Uplift of the NE Tibetan Plateau. Tectonophysics, 486, 108-119.
    https://doi.org/10.1016/j.tecto.2010.01.014

  45. 45. Han, W., Fang, X. and Berger, A. (2012) Tibet Forcing of Mid-Pleistocene Synchronous Enhancement of East Asian Winter and Summer Monsoons Revealed by Chinese Loess Record. Quaternary Research, 78, 174-184.
    https://doi.org/10.1016/j.yqres.2012.05.001

  46. 46. Ge, J., Dai, Y., Zhang, Z., Zhao, D., Li, Q., Zhang, Y., Yi, L., Wu, H., Oldfield, F. and Guo, Z. (2013) Major Changes in East Asian Climate in the Mid-Pliocene: Triggered by the Uplift of the Tibetan Plateau or Global Cooling? Journal of Asian Earth Sciences, 69, 48-59.
    https://doi.org/10.1016/j.jseaes.2012.10.009