Organic Geochemistry 40 (2009) 520–530
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Organic Geochemistry
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Glacial–interglacial productivity and environmental changes in Lake Biwa, Japan: A sediment core study of organic carbon, chlorins and biomarkers
Ryoshi Ishiwatari a,b,*, Koichi Negishi b, Hiroyasu Yoshikawa b, Shuichi Yamamoto c a Geotec Incorporated, Takaido-nishi 3-16-11, Suginami-ku, Tokyo 168-0071, Japan b Graduate School of Science, Tokyo Metropolitan University, Hachioji, Tokyo 192-03, Japan c Faculty of Engineering, Soka University, Hachioji 192-8577, Japan article info abstract
Article history: Temporal changes in paleoproductivity of Lake Biwa (Japan) over the past 32 kyr have been studied by Received 15 April 2008 analyzing bulk organic carbon and photosynthetic pigments (chlorins) in the BIW95-5 core. Primary pro- Received in revised form 16 December 2008 ductivity was estimated on the assumption of C/Norg values of 8 for autochthonous organic matter (OM) Accepted 4 January 2009 and 25 for allochthonous OM and using an equation developed for the marine environment. The estimate Available online 9 January 2009 indicates that primary productivity ranges from 50 to 90 g C m 2 yr 1 in the Holocene, while it is 60 g C m 2 yr 1 on average in the last glacial. Pheophytin a and pheophorbide a are the major chlorins. A downcore profile of chlorin concentration normalized to autochthonous organic carbon (OC) shows a decreasing trend. Chlorin productivity was corrected by removal of the effect of post-burial chlorin deg- radation. The temporal profile of chlorin productivity thereby obtained resembles that from autochtho- nous OC. The difference in primary productivity between the Holocene and the glacial for the lake is markedly smaller than that for Lake Baikal situated in the boreal zone. This difference between the two lakes is probably caused by the difference in their climatic conditions, such as temperature and precipitation. Pre- cipitation at Lake Biwa is relatively large during the glacial and the Holocene because of the continuous influence of the East Asian monsoon. Lake Baikal precipitation is generally small as a result of control by the continental (Siberia) climate regime. In addition, a significant difference in productivity between the glacial and the Holocene for Lake Baikal may be essentially controlled by the hydrodynamic systems in the lake. Lake Biwa terrigenous OM input events occurred at least five times over the period 11–32 kyr BP, sug- gesting enhanced monsoon activity. Molecular examination of the layer with a large input of terrigenous
OM during the Younger Dryas indicates that concentrations of terrigenous biomarkers such as n-C27–C31 alkanes, lignin phenols, cutin acids, x-hydroxy acids and C29 sterols are high, suggesting that soil OM with peat-like material entered the lake as a result of flooding. An enhanced sedimentation rate in the last 3000 years might have been partially caused by agricultural activity around the lake. Ó 2009 Elsevier Ltd. All rights reserved.
1. Introduction studies, terrigenous OM is often ignored in the estimation of lake paleoproductivity, although the contribution of terrigenous OM A number of studies have reported temporal variations in or- to total OM in lake sediments is generally higher than that in the ganic carbon and organic compounds in lake sediments in relation marine environment (e.g. Williams et al., 1993; Prokopenko to changes in paleoproductivity (e.g. Ishiwatari et al., 2005; Mayer et al., 1999). and Schwark, 1999; Williams et al., 1993; Yoon et al., 2006). In quantitative studies, the methodology established in the field Knowledge of past primary productivity in a lake is important for of paleoceanography has been applied to lakes (e.g. Ishiwatari understanding the history of its biogeochemical cycles in the dis- et al., 2005; Qiu et al., 1993; Williams et al., 1993). In our previous tant past. Large and ancient lakes such as Lake Baikal and Lake study (Ishiwatari et al., 2005), we used the equation for estimating Biwa are important, since they preserve records not only of local, paleoproductivity that was established by Müller and Suess (1979), but also of global, environmental changes. However, quantitative where paleoproductivity is expressed as a function of sedimentary studies of lake paleoproductivity are scarce. Even then, in these organic carbon (OC) content, dry bulk density and linear sedimen- tation rate. In our previous study of Lake Baikal, we used algal de- * Corresponding author. Tel.: +81 3 5930 7634; fax: +81 3 5930 2329. rived OC instead of total sedimentary OC (Ishiwatari et al., 2005). E-mail address: [email protected] (R. Ishiwatari). The differentiation of algal OC from terrigenous OC was made from
0146-6380/$ - see front matter Ó 2009 Elsevier Ltd. All rights reserved. doi:10.1016/j.orggeochem.2009.01.002 R. Ishiwatari et al. / Organic Geochemistry 40 (2009) 520–530 521 evaluation of the C/N values of sedimentary OM. Algal derived bio- perature gradient and the vigor of the East Asian monsoon oscil- markers (e.g. chlorins, carotenoids) are candidates for tracing late at the 23 kyr insolation cycle. autochthonous OM. Chlorophylls are essential photosynthetic pig- The objectives of this study were to present the OM record of ments of all phytoplankton and chlorins are their transformation Lake Biwa sediments (BIW95-5 core) at high resolution (centen- products. Therefore, chlorins have been used as a measure of algal nial: 30–170 yr/sample) for the last glacial–postglacial periods productivity and as a proxy for marine primary productivity (e.g. (ca. 32 kyr) and to highlight the importance of the approach for Harris et al., 1996). In this approach, the effect of diagenetic change the evaluation of the variability in organic parameters and lake on chlorins for estimating past primary productivity should be cal- paleoproductivity in response to global and regional climatic and ibrated. The second approach towards quantifying terrigenous bulk environmental changes. The core is dated via four tephra layers de- OM input is to determine terrigenous biomarkers, such as lignin scribed below (Takemura et al., 2000). phenols, cutin acids, C29 sterols and higher plant n-alkanes and to obtain conversion factors of biomarkers to terrigenous bulk 2. Materials and methods OM (Prahl et al., 1994; Ishiwatari et al., 2009). Lake Biwa is the largest freshwater lake in Japan, located in 2.1. Sediment samples and age model the central part of the mainland. It is situated in a temperate zone and receives relatively large precipitation with a moderate Lake Biwa (surface elevation 84.4 m) is 63.49 km long and temperature. Abundant nutrients and detritus are supplied to 22.8 km wide (max. width) and covers an area of 674 km2, with the lake, supporting a relatively high primary productivity. a maximum water depth of 104 m and an average of 48 m. The Many organic geochemical studies have been conducted for watershed area is 3850 km2 (Kuwae et al., 2004). The lake re- molecular characterization, diagenetic changes and paleoenvi- ceives a mean annual precipitation of 1570 mm and the mean ronments by way of 200 and 800 m sediment cores (e.g. annual temperature is 14.3 °C (10 yr average for 1991–2000; cal- Kawamura and Ishiwatari, 1984; Ishiwatari and Uzaki, 1987; culated from the data of Hikone Meteorological Observatory). Ogura et al., 1990; Meyers et al., 1993). These studies have re- The trophic status is oligotrophic–mesotrophic (Otsuki et al., vealed good preservation of OM records responding to environ- 1981). mental changes related to global climatic change over the last A 15 m piston core (BIW95-5) was collected in 1995 near the 430 kyr. center (35°15.000N, 136°03.000E; water depth 67 m; ca. 4 km off Meyers and Horie (1993) reported a vertical profile of OC shore) (Fig. 1). In addition, two short piston cores (BIW95-A, concentration, C/N ratio values and carbon isotopic composition 83 cm and BIW95-B, 64 cm) were collected at the same site. The 13 of OM (d Corg) in Lake Biwa sediments, deposited since 15 kyr long piston core is generally composed of homogeneous gray clay ago, with relatively high resolution (20 cm/sample correspond- with seven volcanic ash layers (Table 1 and Fig. 2). The detailed ing to 200–300 yr/sample). They concluded that the sedimen- lithology of this core was reported by Takemura et al. (2000). Other tary OM is predominantly from aquatic production and the bulk sediment characteristics, e.g. paleomagnetic parameters, were 13 shift in d Corg (from 21‰ to 25‰) observed in the gla- reported by Ali et al. (1999). cial–postglacial boundary was interpreted to be due to a shift Fig. 2 displays the depth–age relationship for core BIW95-5. in atmospheric pCO2. Inouchi et al. (1995) reported a vertical Age control points are volcanic ashes of Kawagodaira (Kg: 2.8– profile of total carbon concentration over the last 30 kyr, with time resolution of 150–200 yr/sample. They recognized a broad peak in total carbon concentration over 1.5–7 kyr BP. However, no quantitative study of the lake paleoproductivity has been reported. Lake Biwa sediments have also been studied by many authors in fields such as paleomagnetism, paleoclimatology, palynology and paleolimnology. Using quartz as an indicator of aeolian dust, Yamada et al. (2004) claimed to have identified a millennial- scale oscillation influenced by the Asian winter monsoon and the Westerlies in sediments since the last glacial. Hayashida et al. (2007) studied the paleomagnetic record in a core covering the last 40 kyr and claimed that the abundance of fine grained magnetite increases during interstadial (warm) periods, suggest- ing enhanced precipitation. The Younger Dryas was not clearly evidenced. Miyoshi et al. (1999) examined the fossil pollen re- cord in a 250 m core and disclosed glacial/interglacial changes of vegetation in Japan over the past 430 kyr. Kuwae et al. (2002, 2004) conducted a study of fossil diatom records from a 140 m core and disclosed the close relationship between diatom productivity and climate. They claimed that sections with higher diatom concentration correspond to periods of warmer and wet- ter conditions and that those with lower concentration corre- spond to periods of colder/drier conditions. They claimed that variations in diatom productivity in the lake relate to summer monsoon intensity. Applying a newly developed method of pol- len-based quantitative reconstruction of the climate in Japan to a long term (past 450 kyr) pollen record, Nakagawa et al. (2006, 2008) disclosed that continental (Siberian) and oceanic (northwest Pacific) air mass temperatures respond to the 100 kyr orbital rhythm and, moreover, that the land–ocean tem- Fig. 1. Map of Lake Biwa (Japan) with sampling point. 522 R. Ishiwatari et al. / Organic Geochemistry 40 (2009) 520–530
Table 1 Age control points (volcanic ash layers) for core BIW95-5.
Ash no.a Ash name Composite depthb 14C agec Calendar aged Short Full Av. (m) m kyr BP yr BP V1 Kg Kawagodaira 2.11 2.8–2.9 3000 V2 K-Ah Kikai-Akahoya 3.32 6.3 7300 V3 U-Oki Ulreung-Oki 4.18 9.3 10,750 V4 Sakate Volcanic ash 6.78 15.9 15,420 V5 DHg Daisen tephra 10.55 V6 DSs Daisen tephra 11.05 V7 AT Aira-Tn Tephra 11.22–11.34 25 27,700
a Volcanic ash number adopted in this study. b Combination of BIW95-5 (piston core) and BIW95-A (piston core). c From Takemura et al. (2000). d From Yamada (2004).
Fig. 2. Age model for cores BIW95-A, BIW95-B and BIW95-5. Stratigraphy of BIW95-5 quoted from Takemura et al. (2000). V1, V2, V3, V4 and V7 are volcanic ash layers.
2.9 14C kyr BP), K-Ah ash layer (6.3 14C kyr BP), U-Oki ash layer 2.3. Chlorins (9.3 14C kyr BP), Sakate ash layer (15.9 14C kyr BP) and AT ash layers (24.3–24.7 14C kyr BP). Since calendar years for the con- The sum of chlorophyll a, and its transformation products (phe- trol points are different depending on the model for the rela- ophytin a, pyropheophytin a, pheophorbide a and pyropheophor- tionship between 14C year and calendar year, we use 14C year bide a) for cores BIW95-5 and BIW95-B is expressed as ‘‘chlorins”. in this paper. The age for each sampling depth was obtained Wet samples (1 g) were weighed into 10 ml glass centrifuge by linear interpolation between age control points, assuming tubes. Pigments were extracted (3 ) using 8 ml acetone with son- uniform sedimentation rates. ication in a Branson Sonifier for 15 min. After centrifugation for The two short cores stored at 5 °C were cut into 2.0 cm sections. 10 min, the supernatant was decanted. Sonication and centrifuga- Subsamples from core BIW95-A were used for dry bulk density, tion were repeated (3 ) and the supernatant collected in a 50 ml TOC (total organic carbon) and total N (total nitrogen) measure- centrifuge bottle. The extracts were concentrated to 0.5 ml under ments. Subsamples kept in a wet state were used for measurement N2. The resultant solution was redissolved in 2 or 3 ml MeOH after of chlorins and lipids. Core BIW95-5 was divided into 2.4 cm sec- addition of 30 ll IPCA (0.5 M tetra-n-butylammonium phosphate), tions which were stored at 20 °C in glass bottles. Water content and 5 ll of the internal standard (mesoporphyrin IX dimethyl es- was determined from the difference between original wet weight ter; 48.9 mg 100 ml 1 in benzene). The solution was centrifuged and that measured after freeze drying. Dry bulk density was calcu- (3000 rpm, 15 min) and filtered with a GL-chromatodisc (pore size lated by dividing the freeze-dried sediment weight by the inner 0.2 lm, GL Science Co.) and used for instrumental analysis. volume of the cube (2.42 2.0 cm3). High performance liquid chromatography (HPLC) was per- formed in the reversed phase mode using an Inertsil ODS-2 2.2. Bulk OM analysis 15 cm 4.6 mm (i.d.) column. Solvent mixtures and reagents were slight modified from the method of Bidigare et al. (1985). The elu-
TOC (or Corg) and total N (or Ntotal) were determined after drying tion gradient was programmed from 100% solvent A (80% MeOH, and powdering. TOC and total N were analyzed using a Fisons 20% 0.005 M tetra-n-butylammonium phosphate in water) to NA1500NCS elemental analyzer. 100% solvent B (70% MeOH, 30% acetone) and isocratic elution R. Ishiwatari et al. / Organic Geochemistry 40 (2009) 520–530 523