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首页> 外文期刊>Journal of quaternary science: JQS >Constraining the age of Lateglacial and early Holocene pollen zones and tephra horizons in southern Sweden with Bayesian probability methods
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Constraining the age of Lateglacial and early Holocene pollen zones and tephra horizons in southern Sweden with Bayesian probability methods

机译:用贝叶斯概率方法限制晚冰期和全新世早期花粉区和南部特非拉地层的年龄

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The sediment sequence from Hasseldala port in southeastern Sweden provides a unique Lateglacial/early Holocene record that contains five different tephra layers. Three of these have been geochemically identified as the Borrobol Tephra, the Hasseldalen Tephra and the 10-ka Askja Tephra. Twenty-eight high-resolution C-14 measurements have been obtained and three different age models based on Bayesian statistics are employed to provide age estimates for the five different tephra layers. The chrono- and pollen stratigraphic framework supports the stratigraphic position of the Borrobol Tephra as found in Sweden at the very end of the Older Dryas pollen zone and provides the first age estimates for the Askja and Hasseldalen tephras. Our results, however, highlight the limitations that arise in attempting to establish a robust, chronologically independent lacustrine sequence that can be correlated in great detail to ice core or marine records. Radiocarbon samples are prone to error and sedimentation rates in lake basins may vary considerably due to a number of factors. Any type of valid and 'realistic' age model, therefore, has to take these limitations into account and needs to include this information in its prior assumptions. As a result, the age ranges for the specific horizons at Hasseldala port are large and calendar year estimates differ according to the assumptions of the age-model. Not only do these results provide a cautionary note for overdependence on one age-model for the derivation of age estimates for specific horizons, but they also demonstrate that precise correlations to other palaeoarchives to detect leads or lags is problematic. Given the uncertainties associated with establishing age-depth models for sedimentary sequences spanning the Lateglacial period, however, this exercise employing Bayesian probability methods represents the best possible approach and provides the most statistically significant age estimates for the pollen zone boundaries and tephra horizons. Copyright (C) 2006 John Wiley & Sons, Ltd.
机译:瑞典东南部Hasseldala港口的沉积物序列提供了独特的晚冰期/全新世记录,其中包含五个不同的特非拉层。其中三个已被地球化学鉴定为Borrobol Tephra,Hasseldalen Tephra和10-ka Askja Tephra。已经获得了28个高分辨率C-14测量值,并且基于贝叶斯统计数据使用了三种不同的年龄模型来为五个不同的提夫拉层提供年龄估计。年代和花粉地层学框架支持在老德里亚斯花粉区尽头在瑞典发现的Borrobol特非拉的地层位置,并提供了Askja和Hasseldalen特非拉斯的首次年龄估算。然而,我们的研究结果突显了试图建立稳健的,按时间顺序独立的湖相序列时可能出现的局限性,这些序列可以与冰芯或海洋记录进行非常详细的关联。放射性碳样品容易出错,由于许多因素,湖盆中的沉积速率可能会有很大差异。因此,任何类型的有效且“现实的”年龄模型都必须考虑这些限制,并且需要将此信息包括在其先前的假设中。结果,Hasseldala港口特定地平线的年龄范围很大,并且根据年龄模型的假设,日历年的估算也有所不同。这些结果不仅为在特定年龄段推算年龄时过度依赖一种年龄模型提供了警示性注释,而且它们还证明了与其他古档案的精确相关性以检测超前或滞后是有问题的。但是,考虑到与建立晚冰川期沉积序列年龄深度模型有关的不确定性,采用贝叶斯概率方法的这项研究代表了最佳方法,并且为花粉区边界和特菲拉层位提供了统计上最有意义的年龄估计。版权所有(C)2006 John Wiley&Sons,Ltd.

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