13.11.2013 Views

Luminescence chronologies for coastal and marine sediments

Luminescence chronologies for coastal and marine sediments

Luminescence chronologies for coastal and marine sediments

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

BOREAS <strong>Luminescence</strong> <strong>chronologies</strong> <strong>for</strong> <strong>coastal</strong> <strong>and</strong> <strong>marine</strong> <strong>sediments</strong> 527<br />

Olley et al. 2004a, b; Goodwin et al. 2006; Ballarini<br />

et al. 2007; Bostock et al. 2007; Carr et al. 2007; Brooke<br />

et al. 2008a, c) in aeolian, <strong>marine</strong> <strong>and</strong> estuarine <strong>sediments</strong>.<br />

No single-grain D e distribution data were presented<br />

or discussed <strong>for</strong> some of the studies (e.g.<br />

Goodwin et al. 2006; Bostock et al. 2007; Brooke et al.<br />

2008c). Bostock et al. (2007), however, mentioned that<br />

some samples required the minimum age model to estimate<br />

the burial dose; this suggests that these D e distributions<br />

probably showed some evidence of partial<br />

bleaching. Good agreement was obtained between<br />

the quartz OSL <strong>and</strong> 14 C results, suggesting that singlegrain<br />

analysis was advantageous in this estuarine<br />

environment.<br />

Zazo et al. (2005) reported results <strong>for</strong> one sample<br />

analysed using 4200 small aliquots (each composed of<br />

o10 grains) <strong>and</strong> 24 larger aliquots (50 grains). Even<br />

though the large aliquots are small compared to those<br />

measured at most laboratories, the difference in results<br />

between their small <strong>and</strong> large aliquots is striking. The<br />

D e values <strong>for</strong> the small aliquots ranged from 55 to<br />

240 Gy, compared to 130 to 400 Gy <strong>for</strong> the larger<br />

aliquots. Such a range cannot be explained by beta microdosimetry,<br />

but partial bleaching or post-depositional<br />

mixing cannot be excluded. In this situation,<br />

neither small nor large aliquots will necessarily yield the<br />

correct depositional age, <strong>and</strong> single grains ought to be<br />

measured. The calculated ages should, there<strong>for</strong>e, be<br />

viewed with caution.<br />

Olley et al. (2004b) measured single grains from a<br />

<strong>marine</strong> sediment sample collected from a 3500-year-old<br />

storm deposited beach ridge in Queensl<strong>and</strong>, Australia.<br />

The D e values, when plotted as a radial plot, indicated<br />

that the sample had been affected significantly by partial<br />

bleaching, but these authors were able to obtain<br />

excellent agreement with a 14 C age when the minimum<br />

age model was applied. They also constructed 96 synthetic<br />

aliquots, of which 48 contained 100 grains while<br />

the other 48 contained 10 grains. When they applied the<br />

minimum age model to these two data sets, they obtained<br />

ages that were too old by 32% <strong>for</strong> the 10-grain<br />

<strong>and</strong> by 57% <strong>for</strong> the 100-grain aliquots. This illustrates<br />

clearly that caution should be exercised when using<br />

multi-grain aliquots, even small aliquots, <strong>for</strong> <strong>sediments</strong><br />

that may have been poorly bleached; this may explain<br />

the anomalous results obtained by Zazo et al. (2005).<br />

Partial bleaching was also observed, using single grains,<br />

<strong>for</strong> two samples from a deep-sea ocean core off the<br />

coast of northwestern Australia (Olley et al. 2004a). In<br />

addition to analysing the D e distributions <strong>for</strong> these two<br />

samples, they also estimated the D e values associated<br />

with the fast-dominated signal from LM-OSL measurements<br />

(e.g. Yoshida et al. 2003); this resulted in a<br />

similar D e distribution. Applying the minimum age<br />

model to these two samples resulted in age estimates<br />

consistent with 14 C ages. Marine <strong>sediments</strong> have,<br />

there<strong>for</strong>e, been shown not to be immune to partial or<br />

heterogeneous bleaching. Accordingly, caution should<br />

be taken in general <strong>for</strong> <strong>coastal</strong> <strong>and</strong> <strong>marine</strong> <strong>sediments</strong>,<br />

<strong>and</strong> especially when dating Holocene samples, where<br />

the effects of incomplete bleaching at burial will be exacerbated<br />

by the comparatively small dose absorbed<br />

after deposition.<br />

Single-grain analysis was also applied to aeolian deposits<br />

by Ballarini et al. (2007), who measured single<br />

grains <strong>for</strong> two modern samples from Texel Isl<strong>and</strong> in<br />

The Netherl<strong>and</strong>s. One sample was known to be o10<br />

years old <strong>and</strong> the other had been deposited 1 year be<strong>for</strong>e<br />

collection. Single-aliquot data suggested that the<br />

<strong>for</strong>mer had been well bleached, whereas the D e <strong>for</strong> the<br />

latter sample was significantly overestimated <strong>and</strong> resulted<br />

in an age of 7424 years. Using a modified SAR<br />

approach specifically designed <strong>for</strong> young samples, Ballarini<br />

et al. (2007) were able to obtain ages similar to<br />

those obtained from the single aliquots when a mean D e<br />

value was used. The single-grain D e distributions of<br />

these samples, however, provided valuable in<strong>for</strong>mation<br />

that clearly indicated the presence of some grains <strong>for</strong><br />

which not even the fast component had been sufficiently<br />

bleached. The presence of such grains in a multigrain<br />

aliquot will result in age overestimation, just as it<br />

will when using the mean of the single-grain D e values.<br />

Partial bleaching, there<strong>for</strong>e, can also afflict to a measurable<br />

extent samples with an aeolian origin, <strong>and</strong> the<br />

extent of this bias will be exacerbated in age determination<br />

<strong>for</strong> young samples. At present, application of<br />

the minimum age model to such young samples is not<br />

straight<strong>for</strong>ward, but use of the mean <strong>for</strong> such distributions<br />

is not appropriate either; a revision of the minimum<br />

age model that does not log trans<strong>for</strong>m the D e<br />

values has, there<strong>for</strong>e, been developed (R. F. Galbraith,<br />

pers. comm. 2008).<br />

In South Africa, Jacobs et al. (2003a) calculated D e<br />

values <strong>for</strong> two aeolianite samples at sea level, <strong>and</strong> <strong>for</strong> an<br />

uncemented dune s<strong>and</strong> deposited inside a <strong>coastal</strong> cave,<br />

using large, single aliquots (1000 grains), single grains<br />

<strong>and</strong> synthetic aliquots (each of 100 grains). They obtained<br />

consistent results <strong>for</strong> all three aeolian units,<br />

when applying the central age model of Galbraith et al.<br />

(1999). The single-grain D e distribution, however, was<br />

wider than expected (‘overdispersed’), but similar in<br />

spread to laboratory-controlled (dose recovery) measurements<br />

of quartz grains given a known dose. Based<br />

on the appearance of the data on a radial plot, it can be<br />

suggested that such scatter in apparent D e results from<br />

natural variability in quartz OSL that is not fully accounted<br />

<strong>for</strong> in the SAR procedure. Microdosimetry<br />

variations in the beta dose to individual grains is a<br />

possibility, but is considered unlikely as similar results<br />

were obtained from both cemented <strong>and</strong> uncemented<br />

samples. Also along the southern Cape coast of South<br />

Africa, Bateman et al. (2004) <strong>and</strong> Carr et al. (2007)<br />

measured single grains <strong>for</strong> a subset of their samples.<br />

For one of the older samples, about 5 m below the

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!