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Methods to merge overlapping tree-ring isotope series to generate multi-centennial chronologies

机译:合并重叠的树环同位素系列以生成多年百年年表的方法

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Stable isotopes ratios in tree-rings are increasingly used to assess long-term environmental variation. As with conventional tree-ring investigations, crossdating overlapping sequences of wood material allows chronologies longer than the lifespans of individual trees to be developed. We measured data from four overlapping cohorts of recent (AD 1650-2004) and historic (AD 1100-1198, AD 1150-1325, AD 1256-1700) wood to yield millennial-length δ ~(13)C, δD and δ ~(18)O chronologies. However, we found that offsets in absolute isotopic values between overlapping segments challenge the preservation of low frequency climate signals. In this paper, we describe the development of these records, signal strength assessments, and present the problems associated with overcoming these offsets and preserving low-frequency variance. We then propose and evaluate four different solutions to link the cohorts. These methods include various types of transformations of mean and variance; all present potential advantages and drawbacks. Inflated variance, loss of absolute isotope values, and the loss of low-frequency signals are major problems. Only one method is capable of fully preserving low-frequency trends, but this method may also risk inducing long-term artifacts. While the various solutions we propose may be useful to help overcome such biases, the challenges described here, if typical for other isotopic series, will best be solved by additionally modifying sampling and measurement procedures. We recommend avoiding pooling of tree rings in the overlap period and to increase the replication in order to extract the original signal and to maintain low-frequency signals.
机译:年轮中稳定的同位素比率越来越多地用于评估长期环境变化。与传统的树木年轮研究一样,交叉重叠的木质材料序列可以使时间序列比要开发的单个树木的寿命更长。我们测量了来自最近(公元1650-2004)和历史(公元1100-1198,公元1150-1325,公元1256-1700)木材的四个重叠队列的数据,以得出千禧年长度的δ〜(13)C,δD和δ〜 (18)O年代。但是,我们发现重叠段之间的绝对同位素值的偏移挑战了低频气候信号的保存。在本文中,我们描述了这些记录的发展,信号强度评估,并提出了与克服这些偏移量并保留低频方差相关的问题。然后,我们提出并评估四种不同的解决方案,以将这些队列联系起来。这些方法包括均值和方差的各种转换;所有这些都有潜在的优点和缺点。主要问题是夸大的方差,绝对同位素值的损失以及低频信号的损失。只有一种方法能够完全保留低频趋势,但是此方法也可能会引起长期伪像。尽管我们提出的各种解决方案可能有助于克服此类偏差,但如果此处所述的挑战(对于其他同位素系列而言很典型),则可以通过额外修改采样和测量程序来最好地解决。我们建议避免在重叠期间合并树环,并增加复制量,以提取原始信号并保持低频信号。

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