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1 23 Journal of Paleolimnology ISSN 0921-2728 Volume 54 Number 4 J Paleolimnol (2015) 54:345-358 DOI 10.1007/s10933-015-9856-0 Paleovegetation inferred from the carbon isotope composition of long-chain n- alkanes in lacustrine sediments from the Song-nen Plain, northeast China Zhifu Wei, Yongli Wang, Baoxiang Wu, Zixiang Wang & Gen Wang

Paleovegetation inferred from the carbon isotope composition of long-chain n-alkanes in lacustrine sediments from the Song-nen Plain… · ORIGINAL PAPER Paleovegetation inferred

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  • 1 23

    Journal of Paleolimnology ISSN 0921-2728Volume 54Number 4 J Paleolimnol (2015) 54:345-358DOI 10.1007/s10933-015-9856-0

    Paleovegetation inferred from the carbonisotope composition of long-chain n-alkanes in lacustrine sediments from theSong-nen Plain, northeast China

    Zhifu Wei, Yongli Wang, Baoxiang Wu,Zixiang Wang & Gen Wang

  • 1 23

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  • ORIGINAL PAPER

    Paleovegetation inferred from the carbon isotopecomposition of long-chain n-alkanes in lacustrine sedimentsfrom the Song-nen Plain, northeast China

    Zhifu Wei . Yongli Wang . Baoxiang Wu .

    Zixiang Wang . Gen Wang

    Received: 9 April 2014 / Accepted: 1 September 2015 / Published online: 5 September 2015

    � Springer Science+Business Media Dordrecht 2015

    Abstract Abundant n-alkanes were identified by

    GC/MS analysis in core sediments from Xianghai

    Lake and the Huola Basin, on the Song-nen Plain,

    northeast China. The n-alkanes extracted from Xiang-

    hai Lake samples showed unimodal and bimodal

    distribution. The main peaks of unimodal distribution

    were at n-C29 or n-C31, and the mid- and long-chain n-

    alkanes had odd-carbon-number predominance, sug-

    gesting they were derived mainly from terrestrial

    higher plants. Bimodal distributions of n-alkanes had

    maximum values centered at n-C17 and n-C31 in all

    samples. The short-chain n-alkanes with a maximum

    at n-C17 showed no odd–even predominance, however

    there was a strong odd-carbon-number predominance

    of long-chain n-alkanes, with a maximum at n-C31.

    These results suggest that organic matter in Xianghai

    Lake was derived from mixed sources, including

    bacteria, algae and terrestrial plants. The n-alkanes

    extracted from Huola Basin sediments were charac-

    terized by a unimodal distribution, with the maximum

    value at n-C31, and the long-chain n-alkanes had an

    odd-carbon-number predominance, indicating that

    they were derived mainly from terrestrial higher

    plants. In addition, the compound-specific carbon

    isotope composition was determined for C27, C29 and

    C31 n-alkanes in the core sediments, and the relative

    contributions of C3 and C4 plants were estimated using

    a binary model. Calculations indicated that C3 plants

    were the dominant input during the late glacial and

    Holocene. The relative abundance of C3 and C4 plants

    changed significantly through time, likely determined

    by cool versus warm climate conditions.

    Keywords n-Alkanes � d13C of long-chain n-alkanes � Paleovegetation � C3 and C4 plants �Northeast China

    Introduction

    Lacustrine sediments are excellent archives for study-

    ing high-resolution paleoclimate changes because of

    their precise chronology and the large variety of

    proxies contained within them (Smol and Cumming

    2000; Fagel et al. 2008). Organic molecules are

    increasingly used in paleolimnological investigations

    as they provide identifiable environmental informa-

    tion from different sources (Cranwell et al. 1987;

    Ficken et al. 2000; Huang et al. 1999; Castañeda et al.

    Z. Wei (&) � Y. Wang (&) � B. Wu � Z. Wang �G. Wang

    Key Laboratory of Petroleum Resources, Gansu Province/

    Key Laboratory of Petroleum Resources Research,

    Institute of Geology and Geophysics, Chinese Academy

    of Sciences, 730000 Lanzhou, People’s Republic of China

    e-mail: [email protected]

    Y. Wang

    e-mail: [email protected]

    Z. Wang � G. WangUniversity of Chinese Academy of Sciences,

    100049 Beijing, China

    123

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    DOI 10.1007/s10933-015-9856-0

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  • 2007). Based on knowledge of n-alkane distributions

    in plants, proxies such as the n-alkane average chain

    length (ACL), ratio of non-emergent aquatic macro-

    phytes to emergent aquatic macrophytes and terrestrial

    plants (Paq), the ratio of trees to grasses (n-C27/n-C31),

    and the carbon preference index (CPI) have been

    developed to infer climate-induced changes recorded

    in lake sediment and peat sequences (Cranwell et al.

    1987; Ficken et al. 2000; Meyers 2003). Besides the n-

    alkane distributions, compound-specific d13C valuescan be used to estimate relative contributions of C3 and

    C4 plants and infer paleoclimate changes, and to

    examine past primary productivity (Huang et al. 1999;

    Castañeda et al. 2007).

    The potential for n-alkanes and compound-specific

    carbon isotope proxies to track specific environmental

    information and disentangle processes led to paleo-

    climate studies in different regions of China, including

    the northern South China Sea (Zhou et al. 2012),

    northeastern China (Zhou et al. 2010) and the Qinghai-

    Tibet Plateau (Zhu et al. 2008; Aichner et al. 2010;

    Mügler et al. 2010; Duan et al. 2011; Wang and Liu

    2012). Changes in the relative abundances of C3/C4plants throughout geologic history were studied using

    the carbon isotopic composition of long-chain n-

    alkanes in loess/paleosol sequences (Zhang et al.

    2003), lake sediments (Street-Perrott et al. 1997;

    Huang et al. 2001; Lane et al. 2011) and marine

    deposits (Yamada and Ishiwatari 1999; Huang et al.

    2007).

    Study area

    The Song-nen Plain (43�300–48�410N, 121�300–127�00E) is one of the main regions for grainproduction and animal husbandry in northeast China.

    The plain is surrounded by the Da Hinggan, Xiao

    Hinggan and Changbai Mountains. The area is com-

    posed of alluvial, lacustrine and aeolian deposits.

    Tectonically, the plain was a large Mesozoic sediment

    basin developed on the base of Paleozoic folds and

    part of the Cenozoic Song-Liao Fault Basin (Sun

    1990). It has a temperate, semi-arid continental

    monsoon climate, with an average annual air temper-

    ature of 4.9 ± 1.5 %, average annual precipitation of

    450 ± 50 mm, and average annual evaporation of

    1450 ± 203 mm (Yang 1996). Its hydrologic envi-

    ronment is unique in that there are out-flows formed by

    the Nenjiang River and the Songhuajiang River. The

    most common soil types in the area include black soil

    and chernozem, but there are also meadow soils,

    swamp soils, halic soils, sandy soils, and paddy soils.

    Owing to agricultural expansion, grasslands are

    mainly distributed throughout the west of the Song-

    nen Plain and interlace with farmland.

    NortheasternChina has amix ofC3 andC4 plants and

    is a zone that is sensitive to climate and vegetation

    changes. The area possesses a number of lakes and

    sediment cores from these water bodies can be analyzed

    to reveal these vegetation and climate changes, inferred

    from the distribution and compound-specific carbon

    isotopic composition of n-alkanes. We analysed the

    distribution and compound-specific d13C ofn-alkanes insediment cores from Xianghai Lake and the Huola

    Basin, on the Song-nen Plain, northeast China. We also

    investigated the distribution of paleovegetation and the

    relative contribution of C3 and C4 plants during the late

    glacial and Holocene. These data provide important

    information for understanding the vegetation distribu-

    tion pattern in the regional environment under a global

    warming trend.

    Study site

    Xianghai Lake is located in the Xianghai Wetland

    Nature Reserve (44�550–45�090N, 122�050–122�310E),a freshwater wetland that covers an area of 360 km2 in

    the downstream reaches of the Huolin River (Fig. 1).

    The wetland lies at low altitude (156–192 m asl) and

    relatively high latitude. The average annual temper-

    ature is *5.1 �C. Water and sediment in marshes arefrozen from late October to early April, but start to

    melt in late April. Mean annual rainfall is 408 mm. As

    the wetland is located in the semi-arid climate zone

    and borders the Keerqin Desert, the main hydrologic

    input (about 55 %) to the Xianghai wetlands, except

    for rainfall, comes from the Huolin River. Because of

    the complex landscape, there are diverse plant and

    animal resources. According to preliminary field

    investigations, there are [600 higher plant species,of which 263 are medicinal plants belonging to 256

    genera in 76 families.

    The Huola Basin is located in the north Da Hinggan

    Mountains, and lies in the cold-temperate continental

    climate zone. Conditions for cold artesian water exist

    in the basin. The average temperature in this area is

    -49 �C, with an annual temperature range of[75 �C.The lowest temperatures are typically-45 to-52 �C,

    346 J Paleolimnol (2015) 54:345–358

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  • and highest values are 30–37 �C. The average yearlyground temperature is -4.2 �C. The frost-free periodis \100 days, and the freeze period is as long as8 months. Over 80 % of the annual rainfall occurs in

    the months of June to September.

    Materials and methods

    Sediment coring and radiocarbon dating

    Two sediment cores were recovered from Xianghai

    Lake and Huola Basin in December 2012 (Fig. 1). The

    Xianghai Lake core site was at 45�04027.1200N,122�19034.3200E and the recovered core was 1420 cm

    long. The Huola Basin lacustrine sediments were

    collected from the Gulian River Open Pit Coal Mine,

    Da Hinggan Mountains (53�00038.8800N,121�57048.2400E) and the core was 300 cm in length.Twenty-five samples were taken at varying intervals

    from each core for analysis of total organic carbon

    (TOC), distribution of n-alkanes and compound-

    specific carbon isotope composition of n-alkanes.

    Five charcoal samples in each sediment core were

    collected for accelerator mass spectrometry (AMS)14C dating at the Australian Nuclear Science and

    Technology Organisation Laboratory, Australia. All

    samples underwent a standard hydrochloric acid wash

    to remove carbonates. Radiocarbon ages were cali-

    brated using CALIB software (Reimer et al. 2009).

    Fig. 1 Location of study area and the cores

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  • Lipid and carbon isotope analysis

    Samples were powdered (80–100 mesh) and extracted

    with chloroform in a Soxhlet apparatus for 72 h, and

    the solvent was removed by distillation. The extracts

    were condensed and weighed. Asphalt fractions were

    collected through precipitation separation with petro-

    leum ether, and aliphatic, aromatic and resin fractions

    were eluted by using silica gel-alumina column

    chromatography with n-hexane, benzene and ethanol,

    respectively. The organic matter analysis was carried

    out in the Key Laboratory of Gas Geochemistry,

    Institute of Geology and Geophysics, Chinese Acad-

    emy of Sciences.

    GC–MS analysis was performed using an HP 5973

    MSD (Agilent Technologies, Wilmington, DE, USA)

    interfaced to an HP 6890 gas chromatograph that was

    fitted with a 30 m 9 0.25 mm-i.d., fused silica cap-

    illary column coated with a film (0.25 lm) of 5 %phenyl-methyl-DB-5. For routine GC analysis, the

    oven was programmed from 80 to 300 �C at 3 �C/minwith a final hold time of 20 min. Helium was used as

    carrier gas at a linear velocity of 32 cm/s, with the

    injector operating at a constant flow of 0.9 mL/min.

    The MS was operated with an ionization energy of

    70 eV, a source temperature of 230 �C and an electronmultiplier voltage of 1900 V over a range of 35–550

    Dalton.

    The carbon isotopic values of individual n-alkanes

    were determined using a gas chromatography-isotope

    ratio mass spectrometry (Thermo ScientificMAT 253)

    system. d13C values of long-chain n-alkanes weremeasured by GC (HP6890) with an HP-5 MS silica

    capillary column (60 m 9 0.32 mm 9 0.25 lm),connected to an isotope ratio mass spectrometer (GV

    Instruments IsoPrime mass spectrometer). The oven

    temperature was programmed to be initially held at

    80 �C for 3 min, increased to 300 �C at a rate of3 �C/min and held for another 30 min. Each samplewas analyzed twice, and final averaged results were

    expressed as % relative to the VPDB (Vienna PeedeeBelemnite) standard.

    Calculation of C3 and C4 plant percentages

    The relative contribution of C3 plants can be calcu-

    lated with a binary model for C3 and C4 plant wax n-

    alkanes. Long-chain n-alkanes produced by C3 and C4plants have characteristic d13C values:-32 to-39 %

    and -18 to -22 %, respectively (Rieley et al. 1991;Collister et al. 1994; Kuypers et al. 1999; Chikaraishi

    and Naraoka 2003). In this study we chose-36 % forC3 plant n-alkanes and -21 % for C4 plant n-alkanesas end members. These values are well accepted and

    used for similar calculations (Zhao et al. 2000). The

    percent C3 plant contribution (x) is calculated from the

    following formula:

    x� ð�36&Þ þ ð1� xÞ � ð�21&Þ ¼ d13Cmeanð1Þ

    where d13Cmean is the weighted mean average of d13C

    of C27, C29 and C31 n-alkanes, in order to reconstruct

    vegetation change:

    d13Cmean ¼ d13C27 � C27 þ d13C29 � C29 þ d13C31�

    �C31Þ=ðC27 þ C29 þ C31Þ ð2Þ

    where C27, C29 and C31 are the relative abundances of

    n-C27, n-C29 and n-C31.

    Results

    Lithology and carbon content

    Sediments of the Xianghai Lake core were composed

    mainly of interbedded sand and mud (Fig. 2). The

    TOC values of samples were relatively low, ranging

    from 0.04 to 1.11 %, with an average value of 0.25 %

    (Table 1). The Huola Basin core is composed mainly

    of lacustrine silt (Fig. 2), and the TOC values of the

    profile samples ranged from 0.56 to 3.68 %, with an

    average value of 1.41 % (Table 1).

    Core chronologies

    Five charcoal samples from each sediment core were

    dated by radiocarbon analysis (Table 2). The age at

    the core top was assumed to be zero in both cases, and

    age models were derived by linear interpolation

    between AMS 14C dates on the five charcoal samples

    in each sediment core. The age-depth relationship in

    the two sediment cores is shown in Fig. 2.

    Distribution of n-alkanes

    Abundant n-alkanes were detected in the core sedi-

    ments from Xianghai Lake and the Huola Basin

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  • (Table 1). The n-alkanes in the Xianghai Lake sam-

    ples represent a suite of components ranging from n-

    C13 to n-C33, with either unimodal or bimodal

    distribution, and maxima at n-C29 or n-C31, or n-C17and n-C31, respectively. In contrast, the carbon

    number distribution of n-alkanes in Huola Basin

    deposits ranges from n-C14 to n-C33, and is character-

    ized by a unimodal distribution, with the maximum at

    n-C31 (Fig. 3).

    Compound-specific carbon isotope composition

    of n-alkanes

    Compound-specific d13C values of the odd-carbon-number C27 to C31 n-alkanes are listed in Table 3. In

    the Xianghai Lake core, d13C27 values are between-34.0 and -28.5 % (average -30.7 %), d13C29values are between -35.7 and -29.3 % (average-32.2 %), and d13C31 values are between -36.0 and-31.3 % (average -32.7 %). The Huola Basin coreshowed more 13C-depleted values. There, the d13Cvalues of the three primary long-chain n-alkanes

    ranged from -35.7 to -32.0 %, -36.7 to -32.4 %,

    and -36.9 to -32.9 %, and had average values of-33.2,-34.3 and-34.3 %, respectively for n-C27, n-C29 and n-C31. The d

    13C values of the two cores show

    that the n-alkanes get systematically more 13C-

    depleted with increasing chain length.

    Discussion

    Origin of the sediment n-alkanes

    The n-alkanes are widely present in plants and other

    organisms. The source of organic matter can be traced

    by distribution characteristics of n-alkanes because

    different biological sources of n-alkanes possess differ-

    ent distribution characteristics. Previous studies showed

    that n-alkanes from lower organisms range from n-C15to n-C20, often with n-C17 or n-C19 as the dominant

    compounds, and without obvious odd-over-even pref-

    erence (Cranwell et al. 1987). In contrast, n-alkanes

    from modern terrestrial higher plants are mainly long-

    chain compounds, i.e. n-C27, n-C29 and n-C31, and show

    an apparent odd-over-even preference, with CPI values

    Fig. 2 Age-depth modelbased on a linear

    interpolation between dates

    of charcoal samples

    a Xianghai Lake core,b Huola Basin core. Thecore top was assigned an age

    of zero

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  • Table 1 The TOC and biomarker parameters of the Xianghai Lake and Huola Basin core sediment samples

    Depth (cm) TOC (%) Most abundant

    compound

    CPI17–21a CPI23–31

    b OEP27–31c ACL27–33

    d Rn-C21- /Rn-C22

    ?

    The Xianghai lake core samples

    115 0.24 21 1.11 2.02 2.71 29.1 0.87

    213 0.39 29 1.13 2.58 4.12 29.3 0.72

    283 1.11 29 1.19 6.37 7.16 29.4 0.26

    337 0.87 29 1.55 8.49 10.17 29.5 0.24

    425 0.56 31 1.11 10.6 11.68 29.8 0.10

    477 0.49 31 1.13 11.84 12.99 29.8 0.07

    497 0.42 31 1.10 10.91 12.35 29.7 0.08

    515 0.25 31 1.13 5.63 6.93 29.7 0.23

    529 0.24 31 1.13 7.53 8.90 29.7 0.17

    559 0.22 31 1.13 4.61 5.87 29.7 0.37

    609 0.06 17/31 1.13 2.46 3.13 29.4 1.58

    639 0.11 17/31 1.13 3.01 3.38 29.5 0.96

    731 0.05 17/31 1.13 1.70 2.07 29.6 1.60

    781 0.04 17/31 1.13 1.95 2.92 29.6 2.56

    833 0.05 17/31 1.13 3.60 5.09 29.8 1.12

    851 0.06 17/31 1.13 4.65 5.85 29.8 0.64

    875 0.05 17/31 1.13 3.58 4.34 29.9 0.90

    905 0.06 17/31 1.13 4.72 5.66 29.9 0.44

    925 0.06 17/31 1.13 4.82 5.65 30.1 0.49

    1067 0.30 17/31 1.13 6.99 7.64 29.8 0.08

    1135 0.14 17/31 1.13 5.75 6.37 29.7 0.21

    1207 0.06 17/31 1.13 3.90 5.51 30.0 1.07

    1347 0.09 17/31 1.13 6.07 6.55 29.9 0.29

    1356 0.28 17/31 1.13 6.67 7.24 29.9 0.15

    1385 0.09 17/31 1.13 3.13 3.60 29.5 0.70

    Average 0.25 1.15 5.34 6.31 29.7 0.64

    The Huola Basin core samples

    18 1.88 31 1.50 4.16 4.80 29.8 0.24

    39 1.51 31 1.38 4.37 5.44 29.5 0.21

    65 3.14 31 1.33 4.16 5.28 29.6 0.27

    86 2.09 31 1.35 4.14 5.06 29.6 0.31

    105 1.72 31 1.43 4.77 5.59 29.5 0.19

    111 1.94 31 1.57 4.50 5.36 29.5 0.18

    140 1.21 31 1.31 4.62 5.27 29.8 0.14

    156 1.26 31 1.42 4.08 4.71 29.8 0.14

    175 1.14 31 1.30 4.34 5.26 29.7 0.16

    181 1.38 31 1.26 3.36 4.31 29.6 0.16

    186 1.19 31 1.28 4.74 6.28 29.8 0.18

    190 1.09 31 1.27 5.09 6.19 29.9 0.18

    193 0.57 31 1.24 4.76 5.83 29.8 0.17

    198 1.16 31 1.38 4.95 6.06 30.0 0.14

    202 1.80 31 1.45 5.29 6.70 29.9 0.14

    206 1.11 31 1.29 5.28 6.48 30.1 0.15

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  • generally[5 (Eglinton andHamilton 1967; Rieley et al.1991). The n-alkane distribution exhibits high odd-to-

    even predominance in long-chain (C25–C35) n-alkanes,

    which characterizes hydrocarbons from vascular land

    plants versus those in petroleum and bacteria (Gearing

    et al. 1976; Farrington 1980). One common variable

    derived from this predominance is the carbon prefer-

    ence index (CPI). The CPI is an indication of n-alkane

    source. Hydrocarbons composed of a mixture of

    compounds originating from land plant material show

    a predominance of odd-numbered carbon chains with

    CPI = 5–10 (Rieley et al. 1991; Hedges and Prahl

    1993), whereas petrogenic inputs have a CPI of about

    1.0 (Saliot et al. 1988; Pendoley 1992). CPI values close

    to 1 are also thought to indicate greater input from

    marine microorganisms and/or recycled organic matter

    (Kennicutt et al. 1987). In organic geochemistry, CPI is

    used to indicate the degree of diagenesis of straight-

    chain geolipids, and is a numerical representation of

    how much of the original biological chain length

    specificity is preserved in geological lipids (Meyers and

    Ishiwatari 1995).

    Table 1 continued

    Depth (cm) TOC (%) Most abundant

    compound

    CPI17–21a CPI23–31

    b OEP27–31c ACL27–33

    d Rn-C21- /Rn-C22

    ?

    210 0.67 31 1.37 4.51 5.74 30.0 0.15

    220 0.59 31 1.16 4.5 5.77 29.7 0.26

    228 0.56 31 1.13 4.69 6.11 29.7 0.27

    235 0.80 31 1.13 4.59 5.82 29.6 0.25

    243 0.84 31 1.12 4.28 5.06 30.0 0.20

    248 1.03 31 1.17 4.35 5.00 29.8 0.25

    262 3.68 31 1.32 3.8 4.93 29.3 0.40

    289 1.68 31 1.30 4.39 5.36 29.5 0.21

    296 1.16 31 1.17 4.21 5.12 29.6 0.17

    Average 1.41 1.31 4.48 5.50 29.7 0.25

    a CPI17–21 = 0.5 9 [(C17 ? C19 ? C21)/(C16 ? C18 ? C20) ? (C17 ? C19 ? C21)/(C18 ? C20 ? C22)]b CPI23-31 = 0.5 9 [(C23 ? C25 ? C27 ? C29 ? C31)/

    (C22 ? C24 ? C26 ? C28 ? C30) ? (C23 ? C25 ? C27 ? C29 ? C31)/(C22 ? C24 ? C26 ? C28 ? C30 ? C32)]c OEP27–31 = (C27 ? 6 9 C29 ? C31)/[4 9 (C28 ? C30)]d ACL27–33 = (27 9 C27 ? 29 9 C29 ? 31 9 C31 ? 33 9 C33)/(C27 ? C29 ? C31 ? C33)

    Table 2 Dates in two cores Lab. code Depth (cm) AMS14C age (a BP) Calibrated age (a BP) Material

    Xianghai Lake core

    Ansto-XH-1 160–162 1800 ± 40 1550 ± 62 Charcoal

    Ansto-XH-2 410–412 3400 ± 40 3800 ± 73 Charcoal

    Ansto-XH-3 890–892 6800 ± 45 7600 ± 84 Charcoal

    Ansto-XH-4 1150–1152 9880 ± 40 10,620 ± 93 Charcoal

    Ansto-XH-5 1394–1396 12,580 ± 40 13,410 ± 102 Charcoal

    Huola Basin core

    Ansto-HL-1 18–20 120 ± 40 80 ± 31 Charcoal

    Ansto-HL-2 120–122 3590 ± 40 3905 ± 82 Charcoal

    Ansto-HL-3 160–162 5780 ± 45 6568 ± 106 Charcoal

    Ansto-HL-4 186–188 7050 ± 40 7888 ± 70 Charcoal

    Ansto-HL-5 296–298 19,270 ± 40 19,800 ± 63 Charcoal

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  • The n-alkanes extracted from Xianghai Lake sam-

    ples show unimodal and bimodal distribution

    (Table 1). The main peaks of unimodal distribution

    were at n-C29 or n-C31, and the long-chain n-alkanes

    had an obvious odd-carbon-number predominance

    (CPI23–31: 2.58–11.84, average: 7.62; odd–even pre-

    dominance (OEP)27–31:4.12–12.99, average: 8.91),

    indicating that they were mainly derived from terres-

    trial higher plants. The characteristic bimodal distri-

    bution of n-alkanes had maximum values centered at

    n-C17 and n-C31 in all samples. The short-chain

    alkanes showed no obvious OEP, with a maximum

    at n-C17 (CPI17-21: 0.91–1.18, average: 1.07). In

    contrast, the long-chain alkanes had a strong odd-

    carbon-number predominance of long chain n-alka-

    nes, with a maximum at n-C31 (CPI23–31: 1.70–6.99,

    average: 4.20). These results suggest that the organic

    matter was derived from mixed sources of lower

    bacteria and algae, as well as terrestrial higher plants.

    The n-alkanes extracted from Huola Basin were

    characterized by a unimodal distribution, with the

    maximum value at n-C31, and the long-chain n-alkanes

    had an obvious odd-carbon-number predominance.

    Calculated OEP27–31 values throughout the entire

    section ranged from 4.31 to 6.70 and had an average

    value of 5.42 (Table 1), indicating that they were

    mainly derived from terrestrial higher plants.

    Paleovegetation types of the study area

    Modern organic geochemistry of molecules shows that

    the ratio Rn-C21-/Rn-C22

    ? reflects the proportion of

    lower organisms such as bacteria and algae relative to

    higher plants (Xie et al. 1999, 2003; Xie and Evershed

    2001). As shown in Table 1, the ratio Rn-C21-/Rn-

    C22? ranged from 0.07 to 2.56 (average 0.64) and 0.14

    to 0.40 (average 0.25), respectively, for the Xianghai

    Lake core and Huola Basin core sediments, suggesting

    that terrestrial higher plants were the main source of

    organic matter during the late glacial and Holocene.

    From 8.0 to 6.0 cal ka BP, however, the ratio in

    Xianghai Lake was[1.0 (Fig. 4), indicating relativelygreater input from bacteria, algae and aquatic plants

    under warmer climate and lower lake level. During the

    late glacial and late Holocene, the ratio was \1.0,suggesting that higher plants dominated under colder

    climate conditions. The ratio of these n-alkanes in the

    Xianghai Lake core sediments was high in the interval

    11.5–8.0 cal ka BP (Fig. 4), indicating that higher

    plants were replaced as an organic matter source by

    bacteria, algae and aquatic plants. During

    8.0–5.0 cal ka BP, the ratio declined, indicating that

    bacteria, algae and aquatic plants were replaced by

    higher plants as an organic matter source, whereas

    from 5.0 cal ka BP to present, the ratio increased,

    Fig. 3 The distribution ofn-alkanes in the Xianghai

    Lake core and Huola Basin

    core

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  • Table 3 The d13C valuesof three primary long-chain

    n-alkanes (n-C27, n-C29 and

    n-C31) and calculated

    relative contribution of C3and C4 plants of the

    Xianghai lake core and

    Huola Basin core

    Depth (m) d13C (%) C3 (%) C4 (%)

    n-C27 n-C29 n-C31 Cmean

    The Xianghai lake core samples

    115 -30.3 -32.3 -32.5 -31.7 71 29

    213 -29.3 -29.3 -31.8 -30.2 61 39

    283 -29.0 -31.0 -32.6 -31.1 67 33

    337 -28.4 -30.2 -31.8 -30.3 62 38

    425 -30.7 -32.4 -33.1 -32.5 76 24

    477 -31.5 -32.8 -33.7 -33.0 80 20

    497 -30.9 -32.8 -33.4 -32.7 78 22

    515 -31.5 -32.1 -33.0 -32.4 76 24

    529 -32.4 -32.9 -33.8 -33.2 81 19

    559 -32.0 -32.2 -32.1 -32.1 74 26

    609 -30.0 -33.3 -32.6 -32.2 74 26

    639 -32.5 -33.2 -33.0 -33.0 80 20

    731 -28.5 -31.2 -31.5 -30.6 64 36

    781 -30.1 -32.7 -32.6 -32.0 73 27

    833 -31.6 -33.0 -33.5 -32.9 80 20

    851 -30.0 -31.8 -32.0 -31.6 70 30

    875 -29.4 -31.9 -30.8 -30.9 66 34

    905 -31.1 -31.4 -33.1 -32.1 74 26

    925 -29.3 -30.5 -31.3 -30.8 65 35

    1067 -31.2 -32.3 -32.7 -32.2 75 25

    1135 -34.0 -35.7 -36.0 -35.5 97 3

    1207 -30.1 -32.3 -32.6 -32.1 74 26

    1347 -31.1 -33.0 -33.0 -32.7 78 22

    1356 -32.2 -33.0 -33.2 -33.0 80 20

    1385 -29.8 -31.0 -31.8 -31.0 67 33

    Average -30.7 -32.2 -32.7 -32.1 70 30

    The Huola Basin core samples

    18 -32.1 -33.3 -32.9 -32.8 78 22

    39 -32.6 -33.9 -34.0 -33.5 83 17

    65 -32.2 -32.4 -33.2 -32.7 78 22

    87 -33.7 -34.4 -33.3 -33.7 85 15

    105 -32.0 -32.8 -33.0 -32.6 78 22

    111 -33.8 -35.5 -35.5 -34.9 93 7

    139 -32.2 -33.1 -33.4 -33.0 80 20

    157 -32.2 -33.7 -33.8 -33.3 82 18

    176 -33.2 -34.7 -34.6 -34.2 88 12

    180 -33.0 -34.7 -34.6 -34.1 87 13

    186 -35.7 -36.7 -35.6 -35.9 99 1

    190 -32.6 -33.4 -33.8 -33.4 82 18

    193 -33.4 -34.6 -34.7 -34.3 89 11

    198 -32.8 -34.1 -34.2 -33.8 85 15

    202 -33.0 -34.9 -34.6 -34.3 89 11

    206 -32.8 -33.5 -34.1 -33.7 84 16

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  • suggesting that bacteria, algae and aquatic plants were

    again dominant as the source of organic matter. Ratios

    in Huola Basin sediments were\1.0 throughout therecord and fluctuated little, suggesting that terrestrial

    higher plants were the main source of organic matter

    during the late glacial and Holocene.

    The n-alkane average chain length (ACL) value is

    the concentration-weighted mean chain length of the

    C27, C29, C31, and C33 n-alkanes (Poynter et al. 1989).

    In warmer climates, land plants biosynthesize longer-

    chain compounds with higher melting points for their

    waxy coatings, whereas in cool, temperate regions,

    somewhat shorter-chain compounds are produced

    (Gagosian and Peltzer 1986). The ACL values of n-

    alkanes from plants that grow in warm climates are

    consequently larger than those of plants from cooler

    regimes (Zhou et al. 2010). A fundamental assumption

    for using ACL as a proxy for past vegetation is that leaf

    lipids derived from grasslands, on average, have

    longer carbon chain lengths than leaf lipids from

    forest plants (Cranwell 1973). But a comprehensive

    review by Bush and McInerney (2013) summarized

    ACL values for alkanes in modern plants from around

    the world, and found that ACL was unable to

    distinguish graminoids (grasses) from woody plants.

    Wang et al. (2015) argued that considerable caution is

    necessary in using ACL values as a proxy indicator for

    vegetation dynamics, and for interpreting ACL vari-

    ation in terms of past changes in environment and

    climate.

    The ACL values in the Holocene sediments are

    overall relatively larger than those of the late glacial

    deposits (Fig. 4). The ACL values of the two cores

    display an increasing tendency during the late glacial,

    whereas during the Holocene, the ACL values show a

    decreasing trend. The ACL values of n-alkanes

    derived from Xianghai Lake core sediments increased

    during the interval 11.5–9.0 cal ka BP (Fig. 4), indi-

    cating that woody plants were progressively replaced

    by grasses, but that trend reversed from 9.0 to

    6.0 cal ka BP, as ACL values declined, indicating

    grasses were replaced by woody plants. In the interval

    6.0–5.0 cal ka BP, the values again increased, sug-

    gesting a replacement of forest by grassland plants, but

    from 5.0 cal ka BP to present, the ACL value

    decreased, suggesting that grasslands gave way to

    the spread of woody plants. In contrast, the ACL

    values of Huola Basin only ranged from 29.4 to 29.8

    throughout the record, without significant fluctuation

    (Fig. 4).

    Seki et al. (2012) demonstrated that ACL values

    can distinguish trees from shrubs and sedges, in that

    shrubs and sedges have higher ACL values ([29) thantrees (*27), as summarized by Kirkels et al. (2013).The ACL values of Xianghai Lake and Huola Basin

    samples are [29.0 and range from 29.1 to 30.1(mean = 29.7) (Table 1; Fig. 4), indicating that veg-

    etation types of the study area were mainly shrubs and

    sedges during the late glacial and Holocene.

    Paleovegetation composition of the study area

    The d13C records of long-chain alkanes have beenused to estimate the relative abundances of C3 and C4plants at some sites (Huang et al. 2006; Castañeda and

    Schouten 2011; Seki et al. 2010; Sun et al. 2013).

    Table 3 continued Depth (m) d13C (%) C3 (%) C4 (%)

    n-C27 n-C29 n-C31 Cmean

    210 -34.4 -35.4 -33.2 -34.1 87 13

    220 -34.0 -35.7 -36.9 -35.7 98 2

    228 -33.5 -35.1 -35.2 -34.7 91 9

    235 -33.4 -34.0 -34.2 -33.9 86 14

    244 -33.0 -34.1 -34.6 -34.1 87 13

    248 -33.4 -34.1 -35.0 -34.3 89 11

    263 -33.4 -34.3 -34.1 -33.9 86 14

    290 -33.3 -34.0 -34.1 -33.8 86 14

    297 -33.5 -34.2 -34.7 -34.2 88 12

    Average -33.2 -34.3 -34.3 -34.0 86 14

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  • Long-chain n-alkanes mainly derive from terrestrial

    higher plants. Terrestrial higher plants assimilate

    atmospheric CO2 mainly via two photosynthetic

    pathways, i.e. the C3 and C4 pathways. The C4 or

    Hatch-Slack pathway has evolved as a CO2-concen-

    trating mechanism in which CO2 initially combines

    with phosphoenol pyruvate to form a 4-carbon acid,

    oxaloacetate (Raven et al. 1999). This CO2-concen-

    trating mechanism gives C4 plants a competitive

    advantage under low pCO2 conditions (Collatz et al.

    1998). It is also generally agreed that C4 plants have

    greater water-use efficiency than C3 plants (Raven

    et al. 1999). Thus, modern C4 plants are commonly

    distributed in hot and dry environments. Warm-season

    grasses and sedges use the C4 pathway. Virtually all

    trees, most shrubs, herbs, cool-season grasses and

    sedges use the C3 pathway.

    In this study, the percentages of C3 and C4 plants

    (Table 3) were calculated using Eq. (1). Calculated C3plant percentages in the Xianghai Lake core varied

    from 61 to 97 %, with an average value of 70 %,

    whereas in the Huola Basin core, the percentage of C3plants ranged from 78 to 99 %, with an average value

    of 90 % (Table 3). These calculations indicate that C3plants were a dominant input during the late glacial

    and Holocene. The percentages of C3 plants in the late

    glacial are overall greater than those of the Holocene

    (Fig. 5), and thus the percentages of C4 plants in the

    late glacial sediments are overall relatively smaller

    than percentages in Holocene deposits. During the late

    glacial, the percentages of C3 plants in the two cores

    rose, whereas during the Holocene, percentages of C3plants in the two cores decreased through time.

    Fluctuations in the percentages of C3 and C4 plants

    in the two cores displayed differences during the

    Holocene (Fig. 5). Highest C3 plant percentages,

    however, were recorded in both cores during the

    interval 11.5–10.5 cal ka BP, indicating an especially

    cold and moist local climate in the Pre-Boreal portions

    of the Xianghai Lake and Huola Basin sequences.

    From 10.5 to 9.0 cal ka BP, relative abundance of C3plants in the Xianghai Lake core decreased dramati-

    cally, while C4 plants increased, indicating the spread

    of grasslands at the expense of forest. This transition

    occurred in the Huola Basin from 10.5 to 8.0 cal ka

    BP. Between 9.0 and 7.0 cal ka BP, C3 and C4 plant

    Fig. 4 Depth profiles of the variation in the ratio of Rn-C21-/

    Rn-C22? and the ACL values of n-alkanes. a Xianghai Lake

    core, b Huola Basin core

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  • percentages in the Xianghai Lake core fluctuated on a

    sub-millennial timescale, suggesting unstable climate.

    Such fluctuations occurred in the Huola Basin record

    between about 8.0 and 6.0 cal ka BP. From 7.0 to

    5.0 cal ka BP, the C3 plant percentage in the Xianghai

    Lake core increased strongly relative to percentages

    for C4 plants, indicating the expansion of forest at the

    expense of grassland. From 5.0 to 2.0 cal ka BP,

    however, relative abundance of C3 plants declined,

    indicating expansion of grasses on the landscape. In

    contrast, from about 6.0 to 1.0 cal ka BP, C3 and C4

    plant percentages in the Huola Basin core fluctuated

    little, with no discernible trend.

    Conclusions

    The n-alkanes and d13C values of long-chain n-alkaneswere analyzed in lacustrine sediment samples from

    cores taken in Xianghai Lake and the Huola Basin, on

    the Song-nen Plain, northeast China. The n-alkanes

    extracted from the Xianghai Lake core were from a

    mixed source composed of bacteria, algae and terres-

    trial higher plants, whereas the n-alkanes extracted

    from the Huola Basin sediments were derived mainly

    from terrestrial higher plants. The carbon isotopic

    composition of C27, C29 and C31 n-alkanes in the core

    sediments yielded information about the relative

    contribution of C3 and C4 plants to the sediment

    organic matter. C3 plants were the dominant input

    during the late glacial and Holocene, but the relative

    abundances of C3 and C4 plants displayed fluctuations

    through time, probably a response to alternating warm

    and cool climate conditions. The percent of C3 plants

    increased during the late glacial, while the percentage

    for C4 plants decreased. During the Holocene, how-

    ever, the percentage of C4 plants increased, while the

    relative abundance of C3 plants decreased.

    Acknowledgments We gratefully acknowledge Prof. MarkBrenner and two anonymous reviewers for thoughtful and

    constructive comments. This research was supported by the

    Chinese Academy of Sciences Key Project (Nos.

    XDB03020405, XDA05120204), the National Science

    Foundation (41172169, 41572350, 41503049), Western Light

    General Project, Western Light Joint Scholars Project, and the

    Key Laboratory Project of Gansu Province (Grant No.

    1309RTSA041).

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    Paleovegetation inferred from the carbon isotope composition of long-chain n-alkanes in lacustrine sediments from the Song-nen Plain, northeast ChinaAbstractIntroductionStudy areaStudy site

    Materials and methodsSediment coring and radiocarbon datingLipid and carbon isotope analysisCalculation of C3 and C4 plant percentages

    ResultsLithology and carbon contentCore chronologiesDistribution of n-alkanesCompound-specific carbon isotope composition of n-alkanes

    DiscussionOrigin of the sediment n-alkanesPaleovegetation types of the study areaPaleovegetation composition of the study area

    ConclusionsAcknowledgmentsReferences