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A modern pollen-climate calibration set based on lake sediments from the Tibetan Plateau and its application to a Late Quaternary pollen record from the Qilian Mountains

机译:基于青藏高原湖泊沉积物的现代花粉气候标定装置及其在祁连山晚第四纪花粉记录中的应用

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Fossil pollen spectra from lake sediments on the Tibetan Plateau have been used for qualitative climate reconstruction, but no modern pollen-climate calibration set based on lake sediments is available to infer past climate quantitatively. This study aims to develop such a dataset and apply it to fossil data. The Tibetan Plateau, between 30 and 40p N and 87 and 103p E. We collected surface sediments from 112 lakes and analysed them palynologically. The lakes span a wide range of mean annual precipitation (Pann; 31-1022 mm), mean annual temperature (Tann; -6.5 to 1 pC), and mean July temperature (TJuly; 2.6-19.7 pC). Redundancy analysis showed that the modern pollen spectra are characteristic of their respective vegetation types and local climate. Transfer functions for Pann, Tann and TJuly were developed with weighted averaging partial least squares. Model performance was assessed by leave-one-out cross-validation. The root mean square errors of prediction (RMSEP) were 104 mm (Pann), 1.18 pC (Tann) and 1.17 pC (TJuly). The RMSEPs, when expressed as percentages of the gradient sampled, were 10.6% (Pann), 15.7% (Tann) and 11.9% (TJuly). These low values indicate the good performance of our models. An application of the models to fossil pollen spectra covering the last c. 50 kyr yielded realistic results for Luanhaizi Lake in the Qilian Mountains on the north-eastern Tibetan Plateau (modern Pann 480 mm; Tann-1 pC). Tann and Pann values similar to present ones were reconstructed for late Marine Isotope Stage 3, with minimum values for the Last Glacial Maximum (c. 300 mm and 2 pC below present), and maximum values for the early Holocene (c. 70 mm and 0.5 pC greater than present). The modern pollen-climate calibration set will potentially be useful for quantitative climate reconstructions from lake-sediment pollen spectra from the Tibetan Plateau, an area of considerable climatic and biogeographical importance.
机译:来自青藏高原湖泊沉积物的化石花粉光谱已用于定性气候重建,但尚无基于湖泊沉积物的现代花粉气候校准集可用于定量推断过去的气候。这项研究旨在开发这样的数据集并将其应用于化石数据。青藏高原,介于30至40p N和87至103p E之间。我们收集了112个湖泊的表层沉积物,并对其进行了孢粉学分析。湖泊的平均年降水量(Pann; 31-1022 mm),年平均温度(Tann; -6.5至1 pC)和7月平均温度(TJuly; 2.6-19.7 pC)跨越很大范围。冗余分析表明,现代花粉光谱是它们各自的植被类型和当地气候的特征。 Pann,Tann和TJuly的传递函数是通过加权平均偏最小二乘而开发的。模型性能通过留一法交叉验证进行评估。预测的均方根误差(RMSEP)为104毫米(Pann),1.18 pC(Tann)和1.17 pC(TJuly)。 RMSEPs以抽样梯度的百分比表示,分别为10.6%(Pann),15.7%(Tann)和11.9%(TJuly)。这些低值表明我们的模型具有良好的性能。该模型在覆盖最后一个c的化石花粉光谱中的应用。在青藏高原东北部的祁连山的栾海子湖(现代Pann 480毫米; Tann-1 pC)上,50 kyr产生了现实的结果。在后期海洋同位素第3阶段重建了与当前值相似的Tann和Pann值,其中最后一次冰期最大值的最小值(当前值约300 mm和2 pC),而全新世早期的最大值(约70 mm和下限)比现在大0.5 pC)。现代的花粉-气候标定装置将可能用于根据青藏高原的湖泊沉积物花粉光谱进行定量的气候重建,这是一个在气候和生物地理上具有重要意义的地区。

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