| 摘要: |
| 对过去2 ka以来气候的研究，是了解和认识现代气候变化的重要课题，也为预测未来气候变化提供背景值。几十年来的古气候研究已经积累了大量的代用指标记录。选取全球范围过去2 ka以来连续的高分辨率洞穴堆积物氧同位素记录（数据以.xlsx格式进行存储），对其在地理分布上、气候因素上以及变化范围和变化幅度上进行详细的对比分析，指出全球洞穴δ18O的变化范围在−1‰—−12‰，而变化幅度不超过3‰。通过进一步的数据集成分析发现：高分辨率的集成记录具有30—50 a的准波动周期；而且集成的过去2 ka全球洞穴δ18O记录在长期趋势上表现为倒“Z”型变化特征，与重建的2 ka以来全球气温变化曲线较为相似。有关的变化特征为过去2 ka以来全球气候变化研究提供了一定的参考依据。 |
| 关键词: 洞穴堆积物 氧同位素组成 变化特征 集成分析 |
| DOI：10.7515/JEE243013 |
| CSTR： |
| 分类号: |
| 基金项目:崂山实验室科技创新项目（LSKJ202203300）；国家自然科学基金项目（42073017） |
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| Integration and analyses of oxygen isotope composition of global speleothem over the past 2 ka |
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LI Xianglei1*, LIU Jinzhao2, 3
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1. Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China
2. State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an 710061, China
3. National Observation and Research Station of Earth Critical Zone on the Loess Plateau in Shaanxi, Xi’an 710061, China
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| Abstract: |
| The study on climate variability over the past 2 ka is important to understand modern climate change and provides the essential framework for predicting future climate change. Decades of paleoclimate research has accumulated numerous proxy records. In this paper, the continuous high-resolution speleothem oxygen isotope (δ18O) records worldwide during the last 2 ka were chosen, and comprehensive analyses concerning about the geographical distribution, climatic factors, and the range and amplitude were undertaken. Statistics analyses show that the overall range in global cave δ18O is between −1‰ and −12‰, with the individual amplitude of no more than 3‰. Data integration analyses reveal a quasi-fluctuation period of 30—50 years, and an inclined “Z” shape which is roughly parallel to that in the 2 ka global temperature curve. The characteristics of these integrated records offer a certain profile for the study of global climate change in the past 2 ka. The dataset is storage in excel file. |
| Key words: speleothem oxygen isotopic composition change patterns integrated analysis |
