2005
DOI: 10.1016/j.quascirev.2004.12.008
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A new and less destructive laboratory procedure for the physical separation of distal glass tephra shards from sediments

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Cited by 282 publications
(255 citation statements)
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“…There have been considerable advances in the methods used to detect, date and characterise volcaniclastic deposits in the last few decades (Froggatt, 1992;Turney et al, 2004;Blockley et al, 2005;Gehrels et al, 2008;Manville et al 2009;Lowe, 2011). However, subjective elements in the criteria used to identify a tephra layer deposited from an explosive volcanic eruption still remain.…”
Section: Rationale and Aimsmentioning
confidence: 99%
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“…There have been considerable advances in the methods used to detect, date and characterise volcaniclastic deposits in the last few decades (Froggatt, 1992;Turney et al, 2004;Blockley et al, 2005;Gehrels et al, 2008;Manville et al 2009;Lowe, 2011). However, subjective elements in the criteria used to identify a tephra layer deposited from an explosive volcanic eruption still remain.…”
Section: Rationale and Aimsmentioning
confidence: 99%
“…Matthews et al, 2012). It is thus possible to separate these grains from their host sediment (Blockley et al, 2005;Bourne et al, 2010) and to correlate them across widely-spaced sites using their glass or mineral chemistry (e.g. Kotaki et al, 2011;Matsu'ura et al, 2011;Smith et Page | 5 al., 2011; Albert et al, 2012).…”
Section: Rationale and Aimsmentioning
confidence: 99%
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“…The chronology was based on 13 14 C AMS dates on identified terrestrial plant macrofossils , one additional 14 C date on wood, and a microscopic distal ash layer stratigraphically and chemically identified as the Laacher See Tephra (LST) by Blockley et al (2005) (Table 1). The weighted mean age of the middle cluster (i.e.…”
Section: Datingmentioning
confidence: 99%
“…The chronology is given by 10 radiocarbon dates on terrestrial plant macrofossils and by the Laacher See Tephra (LST), which was extracted and geochemically fingerprinted by Blockley et al (2005). The age-depth model was calculated with a non-parametric locally weighted least squares regression (LOWESS; span = 0.3; order = 1) (Finsinger et al, 2006).…”
Section: Methodsmentioning
confidence: 99%