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始新世以来亚洲内陆干旱区的古气候定量重建

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亚洲内陆干旱化的形成与发展是新生代最引人瞩目的事件之一,与全球变冷、青藏高原隆升、东亚环境格局演化等一系列问题密切相关.目前,干旱化的起始时间、演化过程、驱动机制等方面均存在较大的争议.古气候的定量化研究有助于解答以上问题.本研究收集中国西北地区已经发表的、具有古地磁定年的3条孢粉序列,并且将孢粉百分比转换为植物功能型得分;之后,建立植物功能型-气候数据集的现代类比法模型,进而定量重建始新世以来古气候要素(年均降水、年均温度)的变化历史.留一法的交叉验证结果显示,该模型对于重建年均降水和年均温度均具有较高的可靠性.气候要素的定量重建结果显示,始新世以来年均降水从约948 mm下降至约84mm,年均温度介于1~10 ℃之间.具体而言,40~23 Ma阶段,气候温暖湿润,年均降水和年均温度分别介于386~948 mm和2.00~9.44℃之间;23~8Ma阶段,年均降水略有下降,介于187~953 mm之间,年均温度介于-1.11~8.52℃之间,其中17~12 Ma和10~9Ma阶段年均降水明显增加,整体上超过400 mm;约8Ma之后,气候逐渐冷干,年均降水介于84~434 mm之间,年均温度介于-2.84~8.85℃之间.与已有的古环境记录对比,本研究认为西北地区约23 Ma之后的干旱化过程主要受控于青藏高原的隆升和全球变冷的影响.
QUANTITATIVE CLIMATE RECONSTRUCTION IN THE ASIAN INTERIOR SINCE THE EOCENE
The aridification of the Asian interior is one of the most significant events during the Cenozoic.However,there is debate over its evolution and associated driving mechanisms.Pollen data,which can generate quantitative results and have sufficient spatio-temporal coverage,is of great value for constraining these issues.However,such pollen-based reconstruction is rarely available during the Cenozoic stage.In addition to the scarcity of long-term terrestrial records,the development of appropriate reconstruction methods is challenging.The taxon-based Modern Analogue Technique(MAT)is one of the most widely used approaches for reconstructing climate change during the Late Quaternary period,while it may suffer from'non-analogue'conditions in the pre-Quaternary times.Plant Functional Types(PFT),grouped by taxa with common phenology and similar bioclimatic space,can efficiently avoid this problem.In this study,we converted the taxa percentages to PFT scores based on the taxon-PFT-biome assignment of China.We then evaluated the performance of the PFT-based MAT model based on leave-one-out(LOO)cross-validation using a dataset comprising 1630 modern pollen samples in China.The results show that the model performed well in reconstructing both the annual mean precipitation(ANNP)(R2=0.93,RMSEP=154.34 mm)and annual mean temperature(ANNT)(R2=0.80,RMSEP=3.18 ℃),which demonstrate that the PFT-based MAT method is a potentially powerful tool for quantitative reconstructions of climate.We collected three well-dated pollen records across Northwest China.One of them came from Jingou River section(44° 10.4′N,85°27.4′E)from the Tienshan region,with an age range of 28.0~4.2 Ma and a resolution of 160 ka.Other two pollen records came from Huoshaogou and Laojunmiao sections(39°47′ N,97° 32′E)from the Jiuxi Basin,with an age range of 40.2~33.4 Ma and 13.00~2.21 Ma,respectively,and a resolution of 56 ka and 17 ka,respectively,and all the results were based on magnetostratigraphy.All the taxa percentages were converted to PFT scores.We used the PFT-based MAT method for palaeoclimate reconstructions of ANNP and ANNT since the Eocene.Our results demonstrate that the ANNP decreased from ca.948 mm to ca.84 mm,while the ANNT ranged between 1~10℃ since the Eocene.During 40~23 Ma,the climate was warmer and humid,with ANNP and ANNT ranging between 386~948 mm and 2.00~9.44 ℃,respectively.During 23~8 Ma,the ANNT ranged between-1.11~8.52 ℃,the ANNP decreased slightly and ranged between 187~953 mm.The ANNP increased to over 400 mm during 17~12 Ma and 10~9 Ma.Since ca.8 Ma,the climate was colder and drier,with ANNP and ANNT ranging between 84~434 mm and-2.84~8.85 ℃,respectively.It is important to note that our estimate is much lower than those estimated from the coexistence approach,as the latter lacks a statistical framework.Compared with existing environmental records,we infer that the retreat of the Paratethys Sea has limited effect on the aridification of the Asian interior during the Eocene.Furthermore,we infer that both the Tibet uplift and global cooling promote the ongoing aridity since ca.23 Ma.

Asian interiorquantitative reconstructionaridificationCenozoicpollenplant functional type

贾云霞、吴海斌、张文超、庞红丽

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山西师范大学地理科学学院,山西太原 030031

中国科学院地质与地球物理研究所,中国科学院新生代地质与环境重点实验室,北京 100029

中国地质大学(北京)地球科学与资源学院,北京 100083

上海海事大学经济管理学院,上海 201306

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亚洲内陆 定量重建 干旱化 新生代 孢粉 植物功能型

国家重点研发计划项目国家重点研发计划项目

2022YFF08015042020YFA0607700

2024

第四纪研究
中国科学院地质与地球物理研究所 中国第四纪研究委员会

第四纪研究

CSTPCD北大核心
影响因子:2.939
ISSN:1001-7410
年,卷(期):2024.44(5)