globalchange  > 气候减缓与适应
DOI: 10.1016/j.quascirev.2018.03.015
Scopus记录号: 2-s2.0-85045069219
论文题名:
Integrating chronological uncertainties for annually laminated lake sediments using layer counting, independent chronologies and Bayesian age modelling (Lake Ohau, South Island, New Zealand)
作者: Vandergoes M.J.; Howarth J.D.; Dunbar G.B.; Turnbull J.C.; Roop H.A.; Levy R.H.; Li X.; Prior C.; Norris M.; Keller L.D.; Baisden W.T.; Ditchburn R.; Fitzsimons S.J.; Bronk Ramsey C.
刊名: Quaternary Science Reviews
ISSN: 2773791
出版年: 2018
卷: 188
起始页码: 104
结束页码: 120
语种: 英语
英文关键词: 14C dating ; Bayesian age modelling ; Geochronology ; Integrated age model ; Varve chronologies
Scopus关键词: Climate change ; Errors ; Geochronology ; Integration testing ; Lakes ; Sediments ; 14C dating ; Age modeling ; Age modelling ; Dating techniques ; High frequency reconstruction ; Integrated approach ; South Island , New Zealand ; Varve chronologies ; Uncertainty analysis
英文摘要: Annually resolved (varved) lake sequences are important palaeoenvironmental archives as they offer a direct incremental dating technique for high-frequency reconstruction of environmental and climate change. Despite the importance of these records, establishing a robust chronology and quantifying its precision and accuracy (estimations of error) remains an essential but challenging component of their development. We outline an approach for building reliable independent chronologies, testing the accuracy of layer counts and integrating all chronological uncertainties to provide quantitative age and error estimates for varved lake sequences. The approach incorporates (1) layer counts and estimates of counting precision; (2) radiometric and biostratigrapic dating techniques to derive independent chronology; and (3) the application of Bayesian age modelling to produce an integrated age model. This approach is applied to a case study of an annually resolved sediment record from Lake Ohau, New Zealand. The most robust age model provides an average error of 72 years across the whole depth range. This represents a fractional uncertainty of ∼5%, higher than the <3% quoted for most published varve records. However, the age model and reported uncertainty represent the best fit between layer counts and independent chronology and the uncertainties account for both layer counting precision and the chronological accuracy of the layer counts. This integrated approach provides a more representative estimate of age uncertainty and therefore represents a statistically more robust chronology. © 2018 Elsevier Ltd
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/112205
Appears in Collections:气候减缓与适应

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作者单位: GNS Science, 1 Fairway Drive, PO Box 30-368, Lower Hutt, 5040, New Zealand; School of Geography, Environment and Earth Sciences, Victoria University of Wellington, PO Box 600, Wellington, 6140, New Zealand; Antarctic Research Centre, Victoria University of Wellington, PO Box 600, Wellington, 6140, New Zealand; National Isotope Centre - Rafter Radiocarbon Laboratory, GNS Science, Lower Hutt, New Zealand; College of the Environment, University of Washington, Box 355674, Seattle, WA 98195-5672, United States; Department of Geography, University of Otago, PO Box 56, Dunedin, Otago 9056, New Zealand; Research Laboratory for Archaeology and the History of Art, University of Oxford, Dyson Perrins Building, South Parks Road, Oxford, OX1 3QY, United Kingdom; Faculty of Science and Engineering, University of Waikato, Private Bag 3105, Hamilton, 3240, New Zealand

Recommended Citation:
Vandergoes M.J.,Howarth J.D.,Dunbar G.B.,et al. Integrating chronological uncertainties for annually laminated lake sediments using layer counting, independent chronologies and Bayesian age modelling (Lake Ohau, South Island, New Zealand)[J]. Quaternary Science Reviews,2018-01-01,188
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