Comparison of varve and 14C chronologies from Steel Lake, Minnesota, USA

Tian, Jie; Brown, Thomas A.; Hu, Feng Sheng

doi:10.1191/0959683605hl828rp

Cited by 39 publications

(38 citation statements)

References 35 publications

(41 reference statements)

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“…Even though radiocarbon dates older than varve chronologies have been reported in other studies (e.g. Sohlenius et al 2003;Tian et al 2005;Stanton et al 2010), the careful selection of terrestrial macrofossils for 14 C analysis and the reasonable distribution of radiocarbon dates with depth make the first possibility unlikely. It is more probable that varve counts were underestimated in consequence of interpretation of multiple annual calcite precipitation events or missing varves due to erosional processes.…”

Section: Discussionmentioning

confidence: 95%

“…Ojala & Francus 2002), whereas additional agecontrol is provided by the multiple dating approach combining different radiometric dating methods, such as 137 Cs, 210 Pb and 14 C (e.g. Lamoureux 2001;Tian et al 2005;Stanton et al 2010). If possible, tephra and stratigraphic data or other marker layers such as pollen, paleomagnetic dating or historic events should be used (Brauer et al 1999;Lüder et al 2006).…”

Section: Introductionmentioning

confidence: 99%

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Construction and validation of calendar-year time scale for annually laminated sediments – an example from Lake Szurpiły (NE Poland)

Kinder¹,

Tylmann²,

Enters³

et al. 2013

GFF

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The composite sediment profile (12.39 m) from Lake Szurpiły (NE Poland) represents an annually laminated organic-carbonaceous gyttja occasionally interrupted by turbidites and massive sand layers. This study focuses on the 7.58-m long and almost continuously varved top section of the profile, which produced a 8410-year long varve chronology with a cumulative counting error of^1.24%. The age-depth model was established by multiple microscopic varve counts and improved by the application of independent radiometric dating methods ( 210 Pb, 137 Cs). Ten additional AMS 14 C dates are consistent with varve counts. In some sections, missing varves were identified as a result of erosional processes related to turbidite deposition. Varve thickness ranges from less than 0.1 to 13.7 mm (mean: 0.83 mm; std: 0.75 mm) with highest variability during the last 1500 years. The accuracy of the varve chronology depends mostly on the regularity of the varve thickness and the distinctness of varve boundaries, and was not influenced by the varve thickness itself. Even though manual and semiautomated varve counting show similar results of the total amount of varves, with the difference of only 0.56%, the comparison between those two methods in intervals of 200 years indicates potential problems, especially for sections with complex lamination and turbidites. We found that semiautomatic varve counting overestimated the varve boundaries in sections with erosive turbidites. Our results confirm the importance of validation of varve chronologies by independent dating methods and caution in relying on automated methods.

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Section: Discussionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Construction and validation of calendar-year time scale for annually laminated sediments – an example from Lake Szurpiły (NE Poland)

Kinder¹,

Tylmann²,

Enters³

et al. 2013

GFF

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“…Although varve chronology can be compromised by a number of factors, such as missing or adding varves, ambiguous laminations and human counting error (e.g. Tian et al, 2005), we are confident that the error of varve chronology in the Lake XIL is no larger than 100 years. The age discrepancies may arise from some carbon reservoir effect within the aquatic ecosystems, or from older marginal organic material being incorporated into the sediment from the deepest part of the lake or from a combination of these processes (e.g.…”

Section: Explosive Basaltic Eruptionmentioning

confidence: 96%

Volcanic eruptions in the Longgang volcanic field, northeastern China, during the past 15,000 years

Liu

Chu

Han

et al. 2009

Journal of Asian Earth Sciences

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“…Prior research suggests that localizing offsets between varve counts and 14 C age spreads is a more appropriate means of addressing such discrepancies, as opposed to spreading the offset cumulatively across the entire varved record and thereby potentially obscuring real temporal patterns (e.g. Tian et al 2005). Because of the uncertainty associated with its true duration, we have therefore eliminated the lowest portion of the 14 C-dated laminated portion of the core from subsequent time series analyses and treat the remainder of the record as being annually varved with no significant gaps.…”

Section: Geochronometry Age Modeling and Time Series Analysismentioning

confidence: 99%

Late Holocene linkages between decade–century scale climate variability and productivity at Lake Tanganyika, Africa

et al. 2006

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Microlaminated sediment cores from the Kalya slope region of Lake Tanganyika provide a near-annually resolved paleoclimate record between~2,840 and 1,420 cal. yr B.P. demonstrating strong linkages between climate variability and lacustrine productivity. Laminae couplets comprise dark, terrigenous-dominated half couplets, interpreted as low density underflows deposited from riverine sources during the rainy season, alternating with light, planktonic diatomaceous ooze, with little terrigenous component, interpreted as windy/dry season deposits. Laminated portions of the studied cores consist of conspicuous dark and light colored bundles of laminae couplets. Light and dark bundles alternate at decadal time scales. Within dark bundles, both light and dark half couplets are significantly thinner than within light bundles, implying slower sediment accumulation rates during both seasons over those intervals.Time series analyses of laminae thickness patterns demonstrate significant periodicities at interannual-centennial time scales. Longer time scale periodicities (multidecadal to centennial scale) of light and dark half couplet thicknesses are coherent and in some cases are similar to solar cycle periods on these time scales. Although laminae thickness cycles do not strongly covary with the actual D 14 C record for this same time period, two large D 14 C anomalies are associated with substantial decreases in both light and dark laminae thickness. In contrast to the multidecadal- centennial time scale, significant annual to decadal periodicities, which are broadly consistent with ENSO/PDO forcing and their impact on East African climate, are not coherent between light and dark half couplets. The coherency of light-dark couplets at decadal-centennial time scales, but not at shorter time scales, is consistent with a model of a long-term relationship between precipitation (recorded in wet season dark laminae thickness) and productivity (light laminae thickness), which is not manifest at shorter time scales. We hypothesize that this coupling results from long-term recharging of internal nutrient loading during wet periods (higher erosion of soil P) and reduced loading during drought intervals. The relationship is not expressed on short time scales during which the dominant control on productivity is wind-driven, dry season upwelling, which is uncorrelated with wet-season precipitation. Our record greatly extends the temporal record of this quasi-periodic behavior throughout the late Holocene and provides the first evidence linking decade-to century-scale episodes of enhanced productivity to enhanced precipitation levels and nutrient recharge in a productive tropical lake.

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Comparison of varve and 14C chronologies from Steel Lake, Minnesota, USA

Cited by 39 publications

References 35 publications

Construction and validation of calendar-year time scale for annually laminated sediments – an example from Lake Szurpiły (NE Poland)

Construction and validation of calendar-year time scale for annually laminated sediments – an example from Lake Szurpiły (NE Poland)

Volcanic eruptions in the Longgang volcanic field, northeastern China, during the past 15,000 years

Late Holocene linkages between decade–century scale climate variability and productivity at Lake Tanganyika, Africa

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