1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 Optically stimulated luminescence dating of glaciofluvial sediments on the Canterbury Plains, South Island, New Zealand Ann V. Rowana*, Helen M. Robertsb, Merren A. Jonesa, Geoff A.T. Dullerb, Steve J. Covey-Crumpa and Simon H. Brocklehursta a School of Earth, Atmospheric and Environmental Sciences, University of Manchester, Oxford Road, Manchester M13 9PL, UK b Aberystwyth Luminescence Research Laboratory, Institute of Geography and Earth Sciences, Aberystwyth University, Aberystwyth, Ceredigion SY23 3DB, UK *Corresponding author: ann.rowan@manchester.ac.uk Tel: +44(0)161 306 9360 Fax: +44(0)161 306 9361 Keywords: OSL; coarse-grained quartz; SAR; Canterbury Plains; LGM; braided river New Zealand is a key location for investigating the geomorphic response of fluvial systems over glacial-interglacial timescales, and as such provides a potentially rich archive of Quaternary climate change. Identification of the climatic response of fluvial systems requires the application of a reliable geochronological method to place the sedimentary record within the context of the regional climate history. Optically stimulated luminescence (OSL) dating offers the opportunity to generate ages from quartz in glaciofluvial sediments, and so has many possible applications in South Island. However, in applying this method, previous studies have encountered problems of low OSL signal intensities in quartz. This has limited the application of quartz OSL in South Island; most geochronological studies have instead used feldspar for luminescence dating, but have been affected by problems such as weathering. In this study, we found that although the OSL signal levels from quartz are low, a useable OSL signal can be observed from medium-sized aliquots containing ~500 grains of quartz separated from samples from eastern South Island. Mathematical component separation of the quartz OSL signal indicated that the signal is dominated by a fast component. Ages produced using the central age model range from 18.2 ± 1.3 to 36.7 ± 2.9 ka, are in stratigraphic order, and agree with independent age control from two 14C ages. This study demonstrates the successful application of quartz OSL to glaciofluvial sediments from Canterbury, and its potential to provide a chronology for sedimentary records of climate change in this region. 1. Introduction The three major braided river systems of the southern Canterbury Plains, South Island, New Zealand (Fig. 1), the Rakaia, Ashburton and Rangitata, present an excellent opportunity to investigate the impact of climate change in glaciofluvial environments. The stratigraphic record resulting from these rivers is considered to span the Last Glacial Maximum (LGM) (e.g. Ashworth et al., 1999), although the precise timing of sediment deposition has not been correlated with the wellestablished late Quaternary climate chronology of New Zealand (Alloway et al., 2007). To make this correlation between sediment deposition and climate variations it is necessary to find a reliable geochronological method that can be applied to the glaciofluvial sediments. The Canterbury Plains coastal stratigraphy is dominated by gravel-bed braided river deposits in which organic material is rare, so a geochronological method that does not rely on organic carbon is necessary; 1 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 luminescence dating is one such method. 2. Optically Stimulated Luminescence (OSL) Dating 2.1 OSL dating of quartz Luminescence dating is one of the few geochronological methods that can be applied in glaciofluvial sedimentary environments to the sediments themselves (e.g. Duller, 2006; Fuchs and Owen, 2008), whereas radiocarbon dating relies on the presence of organic material. However, these environments pose challenges for optically stimulated luminescence (OSL), because rivers typically have high suspended sediment loads and the sediment transport paths are frequently short (Wallinga et al., 2001; Rodnight et al., 2006; Thrasher et al., 2009). A key question that needs to be considered is whether the OSL signal was completely reset during transport prior to deposition, so that the age generated does not include an inherited component from a previous depositional event. Prior to burial, the OSL signal is reset by sunlight as the sediment is transported in the river channel. Incomplete bleaching can be a problem in some fluvial applications of OSL dating (Olley et al., 1998, 1999; Duller, 2004), leading to an over-estimation of the age of deposition, as water and suspended sediment attenuate sunlight through the water column. A review of the application of OSL to fluvial sediments by Jain et al. (2004) showed that the inherited signal is likely to be small (<5 Gy) and so less likely to affect older samples (>1 ka), but this survey did not consider glaciofluvial sediments. If incomplete bleaching does occur then this may be detected in the OSL measurement protocol by examination of the sample De distribution, as seen by Olley et al. (1999). Furthermore, the OSL signal from quartz resets more rapidly than that from feldspar (Thomsen et al., 2008) and so quartz is a more suitable material to use for dating in high-energy environments such as proglacial rivers (e.g. Spencer and Owen, 2004). To reduce the effects of incomplete bleaching, careful selection of the appropriate sedimentary facies from which the luminescence samples are taken greatly improves the likelihood of success (Duller, 2006). The relevant criteria when dating glaciofluvial sediments are outlined by Fuchs and Owen (2008) and Thrasher et al. (2009), and include sampling from depositional environments known to have a high bleaching potential, typically those deposited during waning flow stages. 2.2 OSL dating in New Zealand There have been relatively few recent (<10 a) quartz OSL studies in New Zealand (Nichol et al., 2003; Litchfield and Rieser, 2005). A notable success in early quartz OSL dating from South Island, Holdaway et al. (2002) produced a luminescence chronology for colluvial sediments (Richard Holdaway, pers. comm.) in Otago that agreed well with 14C ages, using 10 mm aliquots containing ~800 grains. In contrast, are results from a study by Preusser et al. (2006), who used quartz prepared by crushing fluvial boulders and other rock samples from Westland, and one sedimentary sample from the forefield of the Franz Josef Glacier, to investigate the effect of bedrock geology, metamorphic grade and deformation history on quartz luminescence. The Westland quartz displayed extremely low OSL signal intensities and large changes in sensitivity. Preusser et al. (2006) noted that the OSL signal appeared to originate from many dim grains rather than a few bright grains, and that the signal was affected by thermal transfer (Rhodes, 2000; Rhodes and Bailey, 1997) at low preheat temperatures. The poor luminescence behaviour of the Westland quartz was not attributed to variations in the bedrock geology of the samples, but is 2 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 suggested to be related to the young sedimentary history of the quartz, and possibly also due to the absence of suitable traps for OSL production in this quartz (Preusser et al., 2006). Westland, on the west side of the Main Divide of the Southern Alps, has short proglacial sediment transport distances (<25 km). The sedimentary sample investigated by Preusser et al. (2006) was taken <10 km downstream from the ice front of the Franz Josef Glacier. The east coast of South Island may be more viable for quartz OSL because proglacial sediment transport distances are at least double (>50 km) those on the western side of the Southern Alps, thereby generating the possibility for increased luminescence sensitivity of quartz in the same depositional environment (Pietsch et al., 2008). Instead of working with the OSL signal from quartz, other recent luminescence studies in South Island have used the infra-red stimulated luminescence (IRSL) signal from coarse-grained potassium-rich feldspars from North Westland (Preusser et al., 2005), or from polymineral fine-grained sediment samples (Hormes et al., 2003; Vandergoes et al., 2005; Rother et al., 2009; Shulmeister et al., 2010) primarily obtained from the abundant loess deposits (e.g. Berger et al., 2001a, 2002; Almond et al., 2001, 2007; Litchfield and Lian, 2004; Preusser et al., 2005). While some studies (e.g. Hormes et al., 2003) report good agreement between polymineral finegrain IRSL and 14C ages, others report significant stratigraphic inconsistencies in IRSL ages (e.g. Berger et al., 2001b), which is attributed to the highly weathered nature of feldspars from this region. Further complications are noted in southern Westland where potassium-rich feldspars are less common in loess deposits (e.g. Almond et al. 2001; Berger et al., 2001b). Some doubt therefore remains over whether South Island sediments are suitable for any luminescence protocol. For example, Almond et al. (2001, 2007) comment that on the basis of their studies using IRSL for polymineral samples, neither feldspar (due to the highly weathered nature and age underestimation) nor quartz (due to dim signal) is likely to be suitable for routine luminescence dating, although they do conclude that further investigation of quartz, or of the feldspathic inclusions within quartz, may still hold promise for the determination of luminescence ages for sediments from New Zealand. Use of the OSL signal from quartz for dating sediments from South Island would circumvent the potential problems of weathering and the paucity of potassium-rich feldspars observed by Almond et al. (2001, 2007). Additionally, quartz is not affected by anomalous fading, a phenomenon which some workers believe to be ubiquitous (e.g. Huntley and Lamothe, 2001; Huntley and Lian, 2006), although observations of fading in samples from New Zealand varies from one study to another; Preusser et al. (2005) do not detect any fading, while Huntley and Lian (2006) observe g values of 2-5% per decade. Use of a sensitivity-corrected Single Aliquot Regenerative dose (SAR; Murray and Wintle, 2000) measurement protocol on quartz has been shown to provide accurate and precise age determinations for sediments from a wide variety of depositional settings around the globe (e.g. Murray and Olley, 2002; Rittenour, 2008; Roberts, 2008). This paper seeks to apply quartz OSL to date glaciofluvial sediments from the Canterbury Plains, South Island. 3. Canterbury Plains, New Zealand New Zealand has undergone at least five major glaciations during the Quaternary, in addition to the Ross and Porika glaciations at 2.4–2.6 and 2.1–2.2 Ma. The last glacial, the Otiran (marine oxygen isotope stage (MIS) 2–4), was preceded by the slightly more extensive Waimea (MIS 6) (Suggate, 1990; Newnham et al., 1999). Multiple smaller, short-lived advances and retreats have been identified within the 3 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 Otiran (e.g. Soons, 1963; Soons and Gullentops, 1973; McGlone, 1995; Williams, 1996; Fitzsimmons, 1997; Suggate and Almond, 2005). During the LGM (18–24 ka, Alloway et al., 2007), central South Island was extensively glaciated (Fig. 1), and ice extended ~4 km beyond the range front in the Rakaia catchment (Shulmeister et al., 2010). Several workers support the interpretation of an extended LGM, with the onset of glaciation at ~29 ka, a warm period from 24–26 ka (Suggate and Almond, 2005; Newnham et al., 2007), and rapid deglaciation occurring from 14 ka (Suggate, 1990; Shulmeister et al., 2005). Evidence from terrestrial cosmogenic nuclide dating in northern South Island suggests an additional Otiran glacial maxima occurred at ~32 ka (Thackray et al., 2009). The Canterbury Plains are considered to have formed during cold stages as a major region of glacial outwash deposition (Bal, 1996; Ashworth et al., 1999). Termination 1 was marked by a regional change from aggradation to incision (Alloway et al., 2007) followed by rapid environmental change, as rivers reworked and removed glacial sediments (Mabin, 1987). Postglacially, a series of smaller glacial advances and periods of Holocene warming have been identified from various climate proxy records (Suggate, 1990; Newnham et al., 1999; Alloway et al., 2007; Schaefer et al., 2009; Putnam et al., 2010; Kaplan et al., 2010) although some controversy exists as to their timing (e.g. Denton and Hendy, 1994, and replies; Barrows et al., 2007a, and replies). 3.1 Geological setting The southern Canterbury Plains, on the eastern side of central South Island, New Zealand (Fig. 1), comprise a series of coalesced alluvial floodplains of late Quaternary age that presently cover an area of ~5000 km2. Glacial outwash and gravel-bed braided river sediments up to 650 m thick have been deposited over the last 400 ka (Bal, 1996), on top of the Carboniferous-Triassic Rakaia terrane greywackes that form the Torlesse Supergroup basement of the region (Cox and Barrell, 2007). The sediment supplied to the braided river systems is predominantly derived from the greywackes. The modern Rakaia, Ashburton and Rangitata Rivers occupying the Canterbury Plains flow perpendicular to the coast. Palaeo-drainage patterns are considered to have also had this orientation (Leckie, 2003), although it is thought that the braidplains were at times more mobile than at present (Browne and Naish, 2003). The rivers have incised into the Plains since the end of the Otiran glacial, despite glacioeustatic sea level rise, and now the uppermost 6–25 m of the late Quaternary deposits form a coastal cliff which extends in width 70 km from the mouth of the Rangitata to the Rakaia (Fig. 2c). The modern coastal cliff section is located ~50 km from the range front of the Southern Alps. The shallow slope of the Canterbury shelf means that during glacial periods when ice reached the range front, the coastline moved ~60 km offshore from its modern location following sea level fall of 120 m (Fig. 1; Newnham et al., 1999), and so at such times the modern coastal section would have been in the medial part of the braided river systems. The chronology of the sediments in the exposed cliff sections is poorly known, but can be constrained towards the base by two radiocarbon ages of >35.5 and >35.4 14 C ka BP (NZ5290A and NZ5291A; Brown et al., 1988) for samples taken from 5 and 11 m below current sea-level in a core drilled within a few km of the current mouth of the Ashburton River. At the top, the overlying loess sheet is generally considered to be Holocene in age (Tonkin et al., 1974; Berger et al., 1996); consequently the braided river stratigraphy includes the LGM. The climate history of New Zealand through the period represented by the Canterbury coastal section is 4 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 well constrained, and has been collated from a wide variety of sources by the NZINTIMATE project (Alloway et al., 2007). 3.2 Stratigraphy The gravel-bed braided river stratigraphy exposed at the coast is divided by subhorizontal surfaces that appear to extend over tens to hundreds of metres, and which perhaps represent periods of little or no deposition (Ashworth et al., 1999). The majority of the gravel accumulation is usually considered to have occurred in rapid pulses during glacial periods (Ashworth et al., 1999; Leckie, 2003; Browne and Naish, 2003), but more detailed analysis of the timing of sediment aggradation is required to confirm such suggestions. Between the surfaces, stacked sets of gravelbed braided river deposits can be clearly seen, representing either one or two channel flow depths in height. The gravel-bed braided river sediments are overlain by a fluvial sand sheet 1–2 m thick, which is in turn covered by the 0.25–2.5 m thick loess sheet that makes up the top of the cliff (Fig. 2a). Finer-grained units occur within the fluvial gravel stratigraphy, and the OSL samples were taken from these sand bodies, i.e. from channel fills, bar margin and bar top sediments (Fig. 2b). Sedimentary facies were defined using the classification scheme of Moreton et al. (2002). The facies selected for sampling are those that are most likely to have had their OSL signal reset, as they have been deposited during the waning stages of flow (Thrasher et al., 2009). Samples were taken for OSL dating at four sites within the Canterbury coastal section (Fig. 1), and include material from each of the three river systems. From north to south the sampling sites are: K04 (43.9442°S, 172.0673°E), C06 (44.0169°S, 171.8890°E), A25 (44.0575°S, 171.7937°E) and B08 (44.1179°S, 171.6472°E). 4. Methods 4.1 Sampling and sample characteristics Nine unconsolidated coarse-grained sand samples were collected for OSL dating from the Canterbury coastal cliff section using aluminium cylinders (250 mm long x 55 mm diameter) hammered into a cleaned section face (Table 1). The sampling cylinders were removed and sealed with light- and water-tight plastic material for transport to the UK. Before shipping, several centimetres of sediment was removed from the light exposed end of each sample under darkroom conditions to prevent this sediment mixing with the non-exposed sample material. 4.2 Sample preparation Sample preparation and luminescence measurements were carried out at Aberystwyth Luminescence Research Laboratory. The samples were opened in subdued red light laboratory conditions. A standard laboratory preparation procedure for coarse-grained quartz was used: ~200 g of each sample was treated with a 10% volume for volume dilution of concentrated (37%) hydrochloric acid followed by 20 vols. hydrogen peroxide to remove any possible carbonates and organic material respectively. The samples were then dry sieved to separate the 180–211 μm diameter fraction, prior to density separation using solutions of sodium polytungstate to isolate the 2.62–2.70 g cm-3 fraction. This quartz-rich fraction was etched with 40% hydrofluoric acid for 45 min to etch any remaining feldspars and the outer alphairradiated portion of grains, followed by concentrated (37%) hydrochloric acid for 45 minutes to dissolve any insoluble fluorides that may have formed. The samples were then sieved again as a further purification step to remove any grains reduced in 5 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 volume by this etching procedure. This resulted in a 180–211 μm fraction of pure quartz grains that was used for OSL measurements. The complete removal of feldspar from the samples is established by internal checks within the SAR measurement protocol (using the OSL-IR depletion ratio of Duller, 2003), and was verified using scanning electron microscopy (SEM) and X-ray diffraction (XRD) analyses at the University of Manchester. In one sample (C06-A3), XRD revealed the presence of aluminium fluoride (AlF3) formed during sample preparation, but this appears not to have had an adverse impact on the luminescence characteristics of the prepared material. 4.3 Equipment Luminescence measurements were made on two Risø TL/OSL readers (BøtterJensen et al., 2003) equipped with 1.48 GBq 90Sr/90Y beta sources. Grains were mounted in a monolayer on 9.7 mm diameter aluminium discs using silicone oil, to make medium aliquots containing ~500 grains covering a diameter of 5 mm (Duller, 2008). Quartz OSL was stimulated using blue (470 Δ 20 nm) light emitting diodes (LED), and signals were detected using 7.5 mm of Hoya U340 filter in front of the photomultiplier tube. The two OSL units have very different optical stimulation powers; one is equipped with a prototype diode system and delivers 2.28 mW cm-2, while the other delivers 19.7 mW cm-2. However, the stimulation spectrum of both systems, and their performance, is otherwise identical. To accommodate these different stimulation powers, OSL was measured for either 40 s or 100 s, and the initial 0.8 s and the final 8 s or the initial 2 s and the final 20 s respectively of each OSL decay curve were used to define the signal and background. 4.4 Dose rate assessment Environmental dose rates (Table 1) were calculated from concentrations of radioisotopes obtained using mass and emission spectrometry on unseparated, dried sediment taken from each sample tube. Potassium oxide was measured by ICPOES, and uranium and thorium by ICP-MS at Royal Holloway University, London. The concentrations of U, Th and K were then used to calculate the dose rates using the conversion factors of Adamiec and Aitken (1998). Cosmic dose rates were determined using a mean sediment density (including pore spaces) of 1.8 g cm-3, the sample site latitude, elevation relative to sea level and an overburden thickness based on modern values for each sample (Prescott and Hutton, 1994). Gravimetric field water content (WCgrav, expressed as mass of water/mass of dry sediment x 100%) was measured in the laboratory using the innermost part of each sample, and gave field water contents that ranged from 1.4–20.1% (Table 1). A value of 15 ± 5% was chosen as representative of mean water content throughout the depositional history of all the samples. This value is higher than modern WCgrav values (7 ± 3%) measured for sand facies in Canterbury coastal deposits (Dann et al., 2009), but has been chosen to represent the value over the last 40 ka, on the basis that the water content is likely to have been higher in the past when these sites were buried, whereas in the present day the sites form a cliff. The effective beta and gamma dose rates to the samples were calculated taking account of grain size and water content (Table 1). The thickness of the units sampled varied from 15–200 cm. In each case, care was taken to sample from the centre of these units, and where possible at least 30 cm from a stratigraphic boundary. The gamma contribution to the dose rate originates 6 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 from a sphere with a radius of ~30 cm, and so for the sand samples collected from units <60 cm in thickness, a proportion of the gamma dose rate arises from the surrounding gravels. However, calculations based on the thinnest unit (15 cm) show that the contribution from the surrounding gravels accounts for 34% of the gamma dose rate, which in turn is only 13% of the total dose rate. Additionally the gravels and sands have a homogeneous source lithology, and so large variations in the concentration of radionuclides would not be expected. To confirm that the assessment of gamma dose rate based upon geochemical measurements of the sand unit sampled is appropriate, in situ dosimeters made of aluminium oxide treated with carbon (Al2O3:C; Burbidge and Duller, 2003) were deployed to directly measure the field gamma dose rate, using a plastic housing to shield the dosimeters from any beta dose contribution. Three sample locations were selected; the thickest unit (B08-B2, 200 cm) and the two thinnest units (A25-A1, 15 cm; K04-A1, 16 cm). The ratio of these field and laboratory gamma dose rates was 0.99 ± 0.10, indicating that the doses obtained from laboratory geochemical analyses were representative of bulk sediment dosimetry. Since geochemical values were available for all of the samples, these were used for determination of all dose rates shown in Table 1. 4.5 Determining measurement conditions The Single Aliquot Regenerative (SAR) dose protocol (Murray and Wintle, 2000) has been widely adopted for OSL dating of coarse-grained quartz. To optimise the SAR measurement protocol, a preheat plateau test is typically used to determine suitable preheat conditions. However, where sediments are likely to be incompletely bleached, such tests are not appropriate because scatter in the natural De values can obscure any trends with preheat temperature. Instead, suitable preheat conditions can be determined using the ability to recover a given laboratory dose for different preheat temperatures. In this study, 34 aliquots of sample C06-A2 had their natural signal removed by exposure to blue LED stimulation for 1 ks at room temperature, with a 10 ks (2.8 hr) pause between bleaches to allow charge in the 110°C trap to empty (Murray and Wintle, 2006), followed by another 1 ks blue LED stimulation. The aliquots were then given a beta dose of 27.8 Gy. Measurements were made using a range of OSL preheat temperatures (160–280°C) using a minimum of three aliquots for each temperature. Initially a preheat of 160°C with immediate cooling was used prior to measurement of the test dose response (Tx). Dose recovery results are shown in Fig. 3a (open symbols) and a plateau is identified between temperatures of 180–220°C, but a large amount of scatter is observed between aliquots. A test dose preheat of 220°C for 10 s was also investigated (Fig. 3a) and this reduced the scatter. Optimal dose recovery was found by making both preheats 220°C for 10 s. Fig. 3b shows the mean dose recovery for three aliquots of each sample in this study using these preheats. Low signal intensities lead to uncertainties on the De of typically 8% on individual aliquots, but statistical analysis of the doses recovered shows a mean and standard deviation of 26.7 ± 2.6 Gy, that is, 96 ± 9% of the given laboratory dose (27.8 Gy). For the remainder of this study, the measurement protocol given in Fig. 4 is used, which employs regenerative and test dose preheats of 220°C for 10 s. 4.6 Aliquot size The glaciofluvial origin of these sediments means that incomplete bleaching is a potential consideration. Duller (2008) highlights the importance of aliquot size in OSL 7 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 dating in such environments. A balance must be struck between creating an aliquot containing sufficient grains to give a viable OSL signal for dating, versus creating an aliquot small enough so as to avoid the averaging effects that arise when aliquots contain many grains which may have experienced different degrees of bleaching and hence have varying De values. To assess the appropriate aliquot size to use for the Canterbury samples, single grain measurements were made to determine the proportion of grains giving signal and the amount of signal given by each grain. Single grain measurements were made using a focused 10 mW Nd:YVO4 green laser emitting at 532 nm (Duller, 2003). Single grain analyses were carried out on 1000 grains each from two samples (C06-A4 and K04-A2). Grains had their natural OSL signal removed by optical stimulation at room temperature, were given a 93 Gy dose and a preheat of 220°C for 10 s, and the OSL signal arising from this dose was then measured. 402 403 404 405 406 407 408 409 410 411 412 413 414 where I is the total signal, t is measurement time in s, and n0i and bi are respectively the number of trapped electrons at t=0 and a constant describing the decay of the luminescence curve that is proportional to the detrapping probability, each for the two exponentials, and a constant c represents the signal background (Bailey et al., 1997). Eq. 1 was fitted to the OSL and test dose responses using a least squares fitting method employing the Levenberg-Marquardt algorithm (implemented in MATLAB®) following the method used by Choi et al. (2006). Data were also transformed to pseudo linearly modulated OSL curves (Bulur, 2000) to confirm that an adequate number of components had been fitted, but the component coefficients used were generated using the CW-OSL data. Component fitting of CW-OSL data is challenging, and when signals are weak, noise in these data can create unrealistic fitting results. Therefore a 5-step strategy was adopted to obtain the best estimates for the values of b1 and b2 in Eq. 1 for each sample: The grains were ranked in order of their net OSL brightness giving the cumulative light sum shown in Fig. 5a; for both samples, 90% of the OSL signal is derived from ~3% of the grains. The small proportion of grains contributing to the total light sum is typical of observations for detrital quartz (Duller, 2008), but this does not give any information about the absolute intensity of the signal. Fig. 5b shows the net OSL signal expressed in counts per 0.17 s per Gy and shows that even the brightest grains do not exceed 20 counts per 0.17 s per Gy, which is at the bottom of the range seen by Duller (2008, Fig. 5), making single grain work impracticable. This observation concurs with that of Preusser et al. (2006) for quartz from Westland, who concluded that Westland quartz is unlikely to be suitable for dating using small aliquots or single grains due to the dim OSL signal. Medium-sized aliquots containing ~500 grains are therefore used throughout the remainder of this study, as a compromise between achieving detectable signal levels whilst providing the opportunity to detect variability in De. 4.7 Signal characterisation The presence in the OSL signal of a fast component is essential to the success of the SAR protocol (Watanuki et al., 2005; Wintle and Murray, 2006). To verify that a fast component is dominant in the OSL signals measured in this study, the OSL responses were mathematically separated into their component parts (Fig. 6a and b). This was done by fitting a summed exponential function to the continuous wave OSL (CW-OSL) data; I t n01b1eb1t n02b2eb2t c Eq. 1 8 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 1. Eq. 1 was fitted to every SAR OSL decay curve for a single aliquot. 2. The same data were then refitted, holding b1 at its mean value derived from step one. 3. The data were refitted again using the mean b1 value from step one and the mean b2 value from step two. 4. Steps one to three were then repeated for every aliquot of the sample. 5. The mean values of b1 and b2 for the sample were calculated from step four (Table 2) and were used for a final fitting to determine n0 for each component for each aliquot. This process has been automated to enable component fitting for every OSL and test dose response for all aliquots (n = 384 aliquots) of each sample. Fig. 6a and b show examples of CW-OSL data and the results of component fitting. The lack of structure in the residuals shows the quality of the fit obtained. The b values for each component were used to calculate the photoionisation crosssection of that component. The stimulating powers of the two LED units used were 19.7 mW cm-2 for samples C06-A3, K04-A1 and K04-A2, and 2.28 mW cm-2 for the remaining samples. Mean photoionisation cross-section values for the Canterbury samples are 5.4 x 10-17 cm2 for the first component and 7.4 x 10-18 cm2 for the second component. These values are the same order of magnitude as those for the fast and medium component as defined by Jain et al. (2003). After fitting Eq. 1 as described above, the value of n0 for the fast component for each OSL response (Lx and Tx) was used to construct a dose response curve for each aliquot. Fig. 6c and 6d compare the responses of two aliquots based solely on the fitted fast component with those obtained from integration of the OSL signal from the first 2 s (stimulated using the weaker of the two LED units) of the OSL decay curve. The Lx/Tx ratios and resulting dose response curves produced using either the integrated OSL response, or a separated fast component, are indistinguishable; the resulting De values are also consistent within uncertainty. The fast component De and the integrated OSL De values are compared (Fig. 7). On average, for all samples, the ratio of the De values derived from the fast component divided by those from the integrated OSL signal is 1.11 ± 0.30 (Table 2). The large scatter in the data shown in Fig. 8 makes it difficult to assess whether there is any systematic difference between the two sets of De values. The component separation results show that, for aliquots that pass the SAR screening criteria, the fast component dominates the luminescence signal (Fig. 6). Given the difficulties involved in fitting dim OSL signals such as those observed in this study, due to low signal to noise ratios, the integrated OSL signal is used to determine De in this study. 4.8 Equivalent dose determination The SAR protocol (Murray and Wintle, 2000; Wintle and Murray, 2006) as described in Fig. 4 was applied to determine De values for each aliquot. All OSL measurements were collected at a temperature of 125°C using a minimum of four regenerative dose points selected to bracket the expected De value. One of these regenerative points was repeated to allow the calculation of a recycling ratio (Murray and Wintle, 2000). The suitability of the data was assessed based on several criteria: (1) a recycling ratio of 1.0 ± 0.1, (2) an OSL-IR depletion ratio of 1.0 ± 0.1 (Duller, 2003), (3) a detectable OSL signal (i.e. >3σ above background), (4) whether the sensitivity corrected natural signal (Ln/Tn) intersects the dose response curve, and (5) whether signal recuperation following a zero dose was detected. The most common cause for 9 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 rejecting an aliquot was criterion 3, lack of a detectable OSL signal, and 22% of the measured aliquots failed on this basis. This is not surprising given that the single grain data presented in section 4.6 implied that the signal from each aliquot originates from a small number of grains. A smaller number of aliquots failed the recycling ratio test (4%), giving values that were not within 1.0 ± 0.1. The OSL-IR depletion ratio (Duller, 2003) was assessed within the SAR sequence to identify feldspar contamination in the samples; values of within 10% of unity were required for aliquots to be accepted, with unity indicating no luminescence response from feldspar. At low signal levels, the OSL-IR depletion ratio may give a non-unity result when a very small IR response is present; this is due to the relatively large variation between two similarly low signals. The IR response of each aliquot was therefore also inspected visually, and if a decay curve was observed then the aliquot was rejected; this resulted in 10% of aliquots being rejected. 72 aliquots were measured for each sample, with the exception of B08-B2 for which 48 aliquots were measured. The mean pass rate of aliquots for all samples was 62%. Data were analysed using Analyst® software (v3.24, Duller, 2007) by fitting an exponential or exponential plus linear term (depending on the degree of saturation) to the dose-response curve. The instrumental uncertainty of the readers as described in Duller (2007) is about 1% and this value is included in the calculation of uncertainty of individual De values. Between 28 and 60 aliquots were accepted for the samples (Table 3). 5. Results and discussion 5.1 Equivalent dose distributions Equivalent dose distributions for each of the Canterbury samples are shown in Fig. 9 as radial plots. The overdispersion (σOD, a measure of the dispersion of the De distribution beyond that expected based on measurement uncertainty) of these distributions was calculated using the approach of Galbraith et al. (1999), and varied from 10–31% (Table 3). Values of overdispersion for well-bleached aeolian sediments reported in the literature range from 0–18% for multiple grain aliquots, and 9–22% for single grains (Galbraith et al., 2005), with a threshold σOD value of 20% (Olley et al., 2004) being commonly used to define whether aeolian and fluvial samples are incompletely bleached or not. Deciding whether overdispersion is due to incomplete bleaching or other factors is important since it informs the method used to analyse the distribution of De values obtained (e.g. central age model, CAM, versus the minimum age model, MAM, Galbraith et al., 1999). To investigate the sources of overdispersion, the dose recovery data (Fig. 3b) from all samples were combined, analysed, and yielded an σOD of 4%. Ideally the value for such an experiment would be expected to be zero, but it is not uncommon for a nonzero σOD value to be observed in dose recovery experiments. Jacobs et al. (2006) observed values of 4.4 and 6.0% while Roberts et al. (2000) had values of 9 and 14%. The σOD measured on naturally irradiated samples will combine both intrinsic sources of uncertainty (e.g. counting statistics) and extrinsic sources (e.g. beta microdosimetry, incomplete bleaching) (Duller, 2008). The De distributions of our samples have a mean σOD of 25% (Table 3), slightly larger than the threshold of 20% commonly used to differentiate between well-bleached and 10 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 incompletely bleached samples. However, our dose recovery experiment showed that there is 4% σOD associated with intrinsic sources of uncertainty that we are not able to account for (cf. Thomsen et al., 2005), and so it is not necessary to invoke incomplete bleaching to explain the σOD values seen in our natural samples. Furthermore, where incomplete bleaching has been observed (Olley et al., 1999) the distributions are characterised by a sharp ‘leading edge’; the data in this study (Fig. 9) do not have this form. A similar lack of asymmetry led Alexanderson and Murray (2007) to conclude that their samples were not incompletely bleached, and the same conclusion is drawn in the present study. Therefore the central age model (CAM, Galbraith et al., 1999) has been applied to the De data for all samples, giving the De values and ages shown in Table 3 and Fig. 10. 5.2 OSL ages and comparison with independent age control The coarse-grain quartz OSL ages produced in this study range from 18.2 ± 1.3 to 36.7 ± 2.9 ka and so occur within the last glacial period identified by Suggate (1990). The validity of these OSL ages can be assessed by a number of methods. Firstly, one can assess the internal consistency by looking at samples C06-A4 and C06-B4 which were taken from the same sand body spaced five metres apart laterally (Fig. 2a). These have ages (31.7 ± 2.6 and 36.7 ± 2.9 ka) that agree within one standard deviation. Secondly, the OSL ages generated (Table 3, Fig. 10) are in stratigraphic order (within 2σ uncertainties) and all are older than the Holocene, which is consistent with the assumed age of the overlying loess sheet. A further means of assessing the OSL ages is by comparison with independent age control. Fossil wood samples are not uncommon in the gravels of the Canterbury Plains, and Brown et al. (1988) give details of a number of radiocarbon ages on wood collected from bore holes. As described in Section 3.1, two samples collected 5 and 11 m below current sea level near the mouth of the Ashburton River yielded infinite radiocarbon ages. A large wood fragment (20-30 cm in diameter) was collected at the base of the coastal cliff 4 km to the south of A25-A1 (Phil Ashworth, pers. comm.) (Fig. 10). Although the OSL and radiocarbon samples are not immediately adjacent to one another, the limited topography on the Canterbury Plains means that one can be confident that the radiocarbon sample is ~2m lower in the stratigraphy than OSL sample A25-A1. The sediment surrounding the organic material was a mottled, light grey silt bed, interpreted to represent floodplain deposits within the braided river system. The occurrence of organic material in the braided river sediments, whilst not common, is expected, as the floodplain would have been stable enough for the development of vegetation, including trees, as can be seen in the modern systems. Furthermore, trees persisted in South Island through the last glacial period. Two separate sub-samples of the wood were submitted for AMS radiocarbon dating. In both laboratories the sample underwent a standard acid alkali acid pretreatment. Radiocarbon ages of 35630 ± 500 BP (Beta-141092) and 30490 ± 320 BP (NZA11860) were obtained (δ13C values of -29.2 and -28.3%0 respectively) and yield calibrated ages of 38.7 ± 1.1 cal. ka BP and 33.5 ± 0.8 cal. ka BP with a 95% confidence interval (OxCal IntCal09, Reimer et al., 2009). The reason for the discrepancy in the two radiocarbon ages is unclear, but is probably related to the difficulties in measuring samples of such low radiocarbon activity. Although close to the limit of radiocarbon, both analyses returned finite ages, bolstering confidence in their veracity. Sample A25-A1 gives an OSL age of 33.0 ± 2.5 ka, entirely consistent with both of the 14C determinations for the tree fragment found below it. 11 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 All De measurements were made on medium-sized aliquots containing ~500 grains; this was a compromise between providing sufficient grains per aliquot to obtain an OSL signal detectable above background, whilst keeping the number of grains sufficiently low to avoid averaging that might obscure inter-aliquot variability in De. Single grain measurements (section 4.6) showed that ~3% of grains contribute 90% of the OSL signal. Thus, for a 500 grain aliquot on average ~15 grains dominate the signal, but this will vary due to statistical fluctuations. This variability is confirmed by the observation that 22% of the aliquots measured for De determination are rejected due to the lack of a detectable signal (section 4.8). The agreement between duplicate samples, stratigraphic relationships, and independent age control, all support the selection of medium aliquots for analysis of these samples. 5.3 Stratigraphic context The ages show that for the four sites in this study, the majority of the exposed cliff section was deposited during the latter part of the Otiran (last) glacial, with only limited vertical aggradation during the postglacial. Previous workers (e.g. Suggate, 1990; Bal, 1996; Ashworth et al., 1999; Browne and Naish, 2003) consider the Canterbury gravels to have accumulated during cold stages, but their actual chronology remained unknown, despite efforts to date these sediments (e.g. Brown et al., 1988; Ashworth et al., 1999). As no evidence for gravel deposition was found in well cores taken from the Canterbury shelf ~40 km offshore (Fulthorpe et al., 2008), and as the modern braided rivers are incisional, it can be inferred that gravel deposits found at the coast are associated with glaciation. Moreover, the OSL ages presented here confirm that for at least two of our study sites all of the gravel units were deposited between ~37 and 18 ka. It is interesting to note that our OSL samples appear to fall into two age ranges (see inset to Fig. 10), the upper five being between 18–24 ka, and the lower four being between 31–37 ka. Although the number of OSL ages is limited, one possible interpretation of the OSL ages is that, for the studied stratigraphy, sediment accumulation appears to have occurred in two periods, with little or no sediment apparently preserved within the period from 30–24 ka corresponding to the LGM warming phase identified by Newnham et al. (2007). The 18–24 ka period of sediment accumulation identified by the OSL ages coincides with the timing of ice maxima at the LGM (Fig. 11 of Alloway et al., 2007). The evidence for gravel accumulation between 31–37 ka is consistent with a period of glacial advance at this time, similar to that seen by Thackray et al. (2009) in the Cobb Valley, Nelson, northern South Island, and in Westland by Almond et al. (2001) and Suggate (1990). Sea surface temperature data (inset to Fig. 10) indicate that the climate remained mostly cool between 30–40 ka (Pahnke et al., 2003), shown by Barrows et al. (2007b) to be a regional trend, supporting this hypothesis. Previous identification of a pre-LGM glacial signal in the Canterbury Plains deposits could have been limited by the coastal gravel sedimentology from this period being visually indistinguishable from that deposited during the LGM. 6. Conclusions OSL dating was applied to nine samples of glaciofluvial quartz from the Canterbury Plains, New Zealand. Although glaciofluvial settings can result in low OSL signal intensities, and this has been found by other workers elsewhere in South Island, we found that the coarse-grained quartz from eastern South Island was suitable for a SAR protocol. Dose recovery tests were used to determine an appropriate set of 12 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 measurement conditions, and on this basis preheats of 220°C for 10 s were selected for luminescence measurements. Mathematical deconvolution of the OSL signal for each step of the SAR protocol verified that, for all the aliquots that passed the SAR screening criteria, the fast component was dominant. The CAM was applied to all of the Canterbury samples to generate ages ranging from 18.2 ± 1.3 to 36.7 ± 2.9 ka, all of which are in stratigraphic order within uncertainty, and are consistent with independent age control. The low OSL signal intensity forced the use of medium sized aliquots (~500 grains) that potentially might mask evidence for incomplete bleaching. However the chrono-stratigraphic consistency achieved and agreement with independent age control show that incomplete bleaching has not had a significant impact on the OSL ages produced in this study. Future studies working in glaciofluvial environments and with similarly dim quartz will also need to incorporate similar checks. This suite of OSL ages allows us to place the deposition of the Canterbury coastal sediments at our study sites in the context of climate change that occurred within the last ~40 ka. The OSL ages suggest that the majority of the studied stratigraphy was deposited during the last glacial period, possibly as two distinct glacial advances, with limited sediment accumulation taking place between these two periods and since the end of the LGM (~18 ka). Acknowledgements This work was undertaken whilst AVR was in receipt of NERC studentship NE/F008295/1. Additional funding for fieldwork was gratefully received from the American Association of Petroleum Geologists Grants-In-Aid program. Profs. Phil Ashworth and Jim Best are thanked for providing the two unpublished 14C dates included in this paper (obtained under NERC grant GR3/11330). AVR would like to thank everyone at ALRL for their assistance and hospitality, particularly Julie Durcan, Hollie Wynne, Rachel Smedley and Lorraine Morrison. ALRL benefits from support from the Climate Change Consortium of Wales (C3W). 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Radiation Measurements, 41, 369–391. 18 920 921 922 923 924 925 926 927 928 929 930 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946 947 948 949 950 951 952 953 954 955 956 957 958 959 960 961 962 963 964 965 966 967 Figure Captions Figure 1. Location map showing the four sampling sites and their relationship to the major braided rivers. The three-digit site name that is used as the ID code for all samples taken from it is shown in bold. The sample ID suffix indicates the stratigraphic order from the cliff top. (Inset) Map of South Island, New Zealand showing location of the Canterbury Plains coastal section under investigation in this study. The position of the LGM coastline is indicated by the dashed line (Newnham et al., 1999). Figure 2. (A) Photograph of site C06 showing the location of the OSL samples (white circles) within the stratigraphy. Sand units are highlighted in yellow, dashed lines show subhorizontal erosional surfaces, blue lines show cross-bedding identified in the gravel sediments, red lines show cross-bedding identified in the sand units. (B) A closeup photograph of the C06-B4 sample site, showing the fine resolution cross-bedding in this bar margin sand body. (C) View of the Canterbury coastline looking north from site C06. Figure 3. Dose recovery test results, following laboratory bleaching and a beta dose of 27.8 Gy, for (A) 34 aliquots of sample C06-A2 tested at a range of OSL preheat temperatures from 160–280˚C for 10 s using test dose preheats of either 160˚C (open circles) or 220˚C for 10 s (closed circles); (B) dose recovery for the mean of three aliquots of each of the nine Canterbury samples after preheats of 220˚C for 10 s. In each plot, the solid line indicates unity for dose recovered/dose delivered, with dashed lines indicating ±10%. Points in grey indicate aliquots that failed the recycling ratio criterion. Figure 4. Outline SAR protocol (Murray and Wintle, 2000) used for OSL dating. A typical SAR measurement sequence was N, 0, R1, R2, R3, R4, 0, RR, OSL-IR where each Rx refers to one cycle of measurement, as shown here; RR indicates measurement of a recycled dose (typically a repeat of R1), and OSL-IR refers to determination of the OSL-IR depletion ratio of Duller (2003). At least four regenerative points were measured for every aliquot. Figure 5. Results from single grain analyses, the total number of grains measured for each sample was 1000: (A) Cumulative percentage of the total light sum (following a 93 Gy dose, preheat temperature 220°C for 10 s) as a function of the cumulative percentage of grains measured for C06-A4 and K04-A2. 90% of the luminescence emitted is derived from 2.7% and 3.4% of the grains respectively. (B) Absolute grain brightness plot showing the distribution of OSL signal from grains of C06-A4 and K04-A2, for which less than 1% grains gave more than 10 counts per 0.17 s per Gy, compared with 19 968 969 970 971 972 973 974 975 976 977 978 979 980 981 982 983 984 985 986 987 988 989 990 991 992 993 994 995 996 997 998 999 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 1010 1011 1012 1013 1014 1015 quartz samples described by Duller (2008) from Tasmania (TNE9517) and Chile (LCF2). Figure 6. Deconvolution of the natural OSL signal for two different samples stimulated using an LED unit delivering 2.28 mW cm-2: (A) A25-A1 aliquot 1-15 and (B) C06-A4 aliquot 1-4. The summed exponential function (solid black line), fast component (dashed line) and medium component (dotted line) fitted to the OSL response data (grey dots) are shown for the first 10 s of measurement. The total OSL response collected over 100 s, with the first 2 s (5 channels) defining the integrated signal and the last 20 s (50 channels) defining the signal background are shown by the grey shading, and the residuals to the component fit are shown in the insets. R indicates the degree of correlation between the data and the fitted summed exponential function. (C, D) Dose response curves generated for these two aliquots (C is A25-A1 and D is C06-A4) showing the integrated OSL signal (black) and the fast component signal (grey). The y-axis (Lx/Tx) shows the sensitivity-corrected OSL responses, with the circles on this axis representing the Natural OSL signal. The De values are shown by the vertical dotted lines. Figure 7. Comparison of De generated using the separated fast component and the De obtained using the integral OSL signal (first 2 s of excitation for B08-B2 and C06-A1; 0.4 s for K04-A1). Only aliquots that passed the SAR screening criteria are shown. The dashed line represents the 1:1 relationship between the different methods of De calculation. Figure 8. Mean fast component De/integral OSL De each sample. For each sample, the number of aliquots that passed the SAR criteria is given in bold. Figure 9. Radial plots showing equivalent dose distributions for all of the Canterbury samples. In each case, the grey bar is centred on the De determined using CAM. The number of aliquots that passed SAR criteria and make up each distribution is given by n, and the overdispersion by σOD. Figure 10. Stratigraphic cross-section through the Canterbury Plains coastal section showing our quartz OSL chronology, two 14C ages (Phil Ashworth, pers. comm.), and the location of the mapped stratigraphy. Field observations were made at the mapped locations. The base line of this section is sea level datum NZ1949. Inset shows the OSL ages compared to the regional climate chronology; the black line is the sea surface temperature data from marine core MD97-2120 taken from the Chatham Rise, ~300 km east of South Island (Pahnke et al., 2003) and the climate phases 20 1016 1017 1018 1019 1020 1021 1022 1023 1024 1025 1026 1027 1028 1029 1030 1031 1032 1033 1034 1035 1036 1037 1038 1039 1040 1041 1042 1043 1044 1045 1046 1047 1048 1049 1050 1051 1052 1053 1054 1055 1056 1057 1058 1059 1060 1061 defined by Alloway et al., (2007); LGIT is Last Glacial Interglacial Transition, LGCP is Last Glacial Cold Period. The dashed line shows the LGM peak at 21 ka. Table Captions Table 1: Sample information and dosimetry. Depth from which samples were taken is given in metres below the cliff top. Sedimentary facies were interpreted using the classification scheme of Moreton et al. (2002). Gravimetric field water content (Field WCgrav) is calculated as mass of water/mass of dry sediment x 100%; for all samples, a water content of 15 ± 5% was used to represent the mean water content over the depositional history of the sediments (see text for discussion). The grain size used for luminescence measurements was 180–211 μm diameter quartz. Dose rates were calculated following geochemical analysis of the uranium, thorium, and potassium concentrations for each sample (as described in section 4.4), using the conversion factors of Adamiec and Aitken (1998), and include a cosmic dose rate contribution assessed according to Prescott and Hutton (1994). The uncertainties associated with measurement of radioisotope concentrations were 5% in each case. Total dose-rates were calculated using values prior to rounding. Table 2. Component separation results showing mean values for the photoionisation cross-section (σ) and detrapping probability (b) for both of the components identified in the OSL responses of the Canterbury samples. Two different Risø readers were used for measurements of the suite of samples. Consequently samples C06A3, K04-A1 and K04-A2 have higher b values, as they were measured using a reader with a greater LED intensity. This is corrected for in the calculation of photoionisation cross-section values. The De ratio is calculated as De generated from the fast component/De generated using the integrated OSL signal and is plotted in Fig. 8. Table 3. Equivalent doses and quartz OSL ages calculated for each sample using the central age model. The number of aliquots that passed the SAR screening criteria is given by n, and the overdispersion of the De distribution by σOD. OSL ages are expressed as thousands of years before 2010 AD, and rounded to the nearest 100 years. 21