Clay varve chronology in the Eastern Baltic area

Hang, Tiit

doi:10.1080/11035899709546491

Cited by 20 publications

(21 citation statements)

References 13 publications

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“…This estimation is older than recently suggested (Kalm, 2012;Saarse et al, 2012;Lasberg & Kalm, 2013;Vassiljev & Saarse, 2013) and does not fit with 10 Be-based dates, which indicate that the Pandivere belt formed 13 100±1100 10 Be years BP (Rinterknecht et al, 2006). The varved clay results and their correlation with the Neva ice marginal belt (Saarnisto & Saarinen, 2001) provide grounds for estimating the age of the Pandivere stadial at 12 700 varve years (Hang, 1997), redefined to 13 300 varve years by Hang (2003) and later to more than 13 300 cal. yr BP (Hang & Kohv, 2013).…”

Section: Introductionmentioning

confidence: 93%

Timing of the deglaciation and the late-glacial vegetation development on the Pandivere Upland, North Estonia

Amon¹,

Saarse²,

Vassiljev³

et al. 2016

Bull Geol Soc Finland

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In this study, the deglaciation chronology of the Pandivere Upland is defined, and the late-glacial vegetation trends of north-eastern Estonia are summarised. The multi-proxy study includes accelerated mass spectrometry 14 C dating, plant macrofossil, magnetic susceptibility, loss-on-ignition and grain-size distribution data of the lacustrine sediment record from one previously unpublished study site (Kursi), and the study discusses the results in combination with five previously published study locations from the area.The results indicate that the deglaciation of the Pandivere Upland started at approximately 14 200 cal. yr BP and was completed by 13 800 cal. yr BP. The ice recession rate was approximately 180 m yr -1 . Based on these new radiocarbon dates, the Baltic Ice Lake stage A 1 submerged the northern and western ice-free areas of Estonia by ca. 13 800 cal. yr BP. The prevalent vegetation type in north-eastern Estonia during the late-glacial period was tundra with local variations in the dominant shrub species. The region remained treeless until the Holocene.

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Section: Introductionmentioning

confidence: 93%

Timing of the deglaciation and the late-glacial vegetation development on the Pandivere Upland, North Estonia

Amon¹,

Saarse²,

Vassiljev³

et al. 2016

Bull Geol Soc Finland

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“…However, it should be remembered that the approximate timing of stadial/interstadial episodes in SW Finland are chronostrati- graphically not controlled (e.g. Hirvas & Nenonen 1987, Salonen & Glückert 1992, Hirvas et al 1995 and only indirectly determined in NW Estonia (see Pirrus & Raukas 1969, Raukas 1992a, Hang 1997. Nevertheless, the Espoo Till of Bouchard et al (1990) and Salonen and Glückert (1992), or till unit 6 of Hirvas et al (1995) may correlate to the Palivere Till in NW Estonia as both are topmost, youngest and similar age till units in the area between the SSI and Palivere endmoraines (Table 2).…”

Section: General Lithostratigraphy and Possible Correlationsmentioning

confidence: 99%

Lithostratigraphy of Late Weichselian tills on the West Estonian Islands

Kadastik¹,

Kalm²

1998

Bull Geol Soc Finland

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“…Both of these factors tend to widen the accommodation space and, consequently lead to thinner varves. Therefore the existence of the trend in the diagrams is due to factors inherent to progressing deglaciation, which would be supported by the general similarity between the trends in different diagrams from different regions (Hang, 1997(Hang, , 2003Sauramo, 1918Sauramo, , 1923Strömberg, 1990;Wohlfarth et al, 1998). Accordingly, the formula (equation 1) would in large part separate these influences from those external to ice recession and base level rise; likewise, the mathematical elimination of the trend (i.e.…”

Section: Statistical Transformation Of Varve-series Datamentioning

confidence: 93%

Late Weichselian varve archives re-explored to assess proglacial sedimentary chronologies using the principles of tree-ring analysis

Helama

Hyttinen

Salonen

2012

Progress in Physical Geography: Earth and Environment

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Glaciogenic varves are formed annually in proglacial basins and provide detailed geochronological archives about the dynamics of deglaciation. Varve chronologies are constructed from multiple varve series measured at individual localities. Temporal connection between the series is traditionally achieved by visual comparison of varve-thickness variations. This connection method resembles that of dendrochronological cross-dating. By contrast, dendrochronological correlation proceeds through the routine of statistical (along with visual) comparisons between the tree-ring series, providing quantification of the dating results, their veracity and robustness. Here we demonstrate the advantages and convenience of applying tree-ring statistical methods to varve records, using an extensive varve archive originating from southern Finland. The data series of individual varve-thickness diagrams were metamorphosed by detrending, prewhitening and averaging, that is, by the methods adopted from tree-ring science. Subsequently, it was seen that the series having 80 or more varves have a higher potential to be unambiguously cross-dated than shorter series. The varve-thickness diagrams could be categorized into two types, those having regional chronological importance and those showing only subregional (distance < 20 km) correlativity. The varves of former type ought to be regarded as primary constituents of the geochronology. The varves of latter type have low geochronological validity although they may bear local sedimentological importance. The findings have the potential to modernize the science of varve-based geochronologies.

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Clay varve chronology in the Eastern Baltic area

Cited by 20 publications

References 13 publications

Timing of the deglaciation and the late-glacial vegetation development on the Pandivere Upland, North Estonia

Timing of the deglaciation and the late-glacial vegetation development on the Pandivere Upland, North Estonia

Lithostratigraphy of Late Weichselian tills on the West Estonian Islands

Late Weichselian varve archives re-explored to assess proglacial sedimentary chronologies using the principles of tree-ring analysis

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