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Quantitative Holocene climatic reconstructions for the lower Yangtze region of China
Li, Jianyong1; Dodson, John1,2; Yan, Hong1; Wang, Weiming3; Innes, James B.4; Zong, Yongqiang5,6; Zhang, Xiaojian7; Xu, Qinghai8; Ni, Jian9; Lu, Fengyan1
2018-02-01
发表期刊CLIMATE DYNAMICS
卷号50期号:3-4页码:1101-1113
文章类型Article
摘要Quantitative proxy-based and high-resolution palaeoclimatic datasets are scarce for the lower reaches of the Yangtze River (LYR) basin. This region is in a transitional vegetation zone which is climatologically sensitive; and as a birthplace for prehistorical civilization in China, it is important to understand how palaeoclimatic dynamics played a role in affecting cultural development in the region. We present a pollen-based and regionally-averaged Holocene climatic twin-dataset for mean total annual precipitation (PANN) and mean annual temperature (TANN) covering the last 10,000 years for the LYR region. This is based on the technique of weighted averaging-partial least squares regression to establish robust calibration models for obtaining reliable climatic inferences. The pollen-based reconstructions generally show an early Holocene climatic optimum with both abundant monsoonal rainfall and warm thermal conditions, and a declining pattern of both PANN and TANN values in the middle to late Holocene. The main driving forces behind the Holocene climatic changes in the LYR area are likely summer solar insolation associated with tropical or subtropical macro-scale climatic circulations such as the Intertropical Convergence Zone (ITCZ), Western Pacific Subtropical High (WPSH), and El Nio/Southern Oscillation (ENSO). Regional multi-proxy comparisons indicate that the Holocene variations in precipitation and temperature for the LYR region display an in-phase relationship with other related proxy records from southern monsoonal China and the Indian monsoon-influenced regions, but are inconsistent with the Holocene moisture or temperature records from northern monsoonal China and the westerly-dominated region in northwestern China. Overall, our comprehensive palaeoclimatic dataset and models may be significant tools for understanding the Holocene Asian monsoonal evolution and for anticipating its future dynamics in eastern Asia.
关键词Lower Yangtze China Holocene Climate Pollen Quantitative Reconstructions
WOS标题词Science & Technology ; Physical Sciences
DOI10.1007/s00382-017-3664-3
关键词[WOS]ASIAN SUMMER MONSOON ; INTERTROPICAL CONVERGENCE ZONE ; HIGH-RESOLUTION POLLEN ; LAST GLACIAL MAXIMUM ; ARID CENTRAL-ASIA ; ENVIRONMENTAL-CHANGE ; MILLENNIAL-SCALE ; TIBETAN PLATEAU ; MOISTURE EVOLUTION ; NORTHERN CHINA
收录类别SCI
语种英语
WOS研究方向Meteorology & Atmospheric Sciences
WOS类目Meteorology & Atmospheric Sciences
WOS记录号WOS:000425328700021
引用统计
被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ieecas.cn/handle/361006/5188
专题现代环境研究室
作者单位1.Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710075, Shaanxi, Peoples R China
2.Univ New South Wales, Sch Biol Earth & Environm Sci, Sydney, NSW 2033, Australia
3.Chinese Acad Sci, Nanjing Inst Geol & Palaeontol, Key Lab Econ Stratig & Palaeogeog, Nanjing 210008, Jiangsu, Peoples R China
4.Univ Durham, Dept Geog, Durham DH1 3LE, England
5.Univ Hong Kong, Dept Earth Sci, Hong Kong, Hong Kong, Peoples R China
6.Guangzhou Inst Geog, Guangzhou 510070, Guangdong, Peoples R China
7.Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210093, Jiangsu, Peoples R China
8.Hebei Normal Univ, Inst Nihewan Archaeol, Shijiazhuang 050024, Hebei, Peoples R China
9.Zhejiang Normal Univ, Coll Chem & Life Sci, Jinhua 321004, Peoples R China
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Li, Jianyong,Dodson, John,Yan, Hong,et al. Quantitative Holocene climatic reconstructions for the lower Yangtze region of China[J]. CLIMATE DYNAMICS,2018,50(3-4):1101-1113.
APA Li, Jianyong.,Dodson, John.,Yan, Hong.,Wang, Weiming.,Innes, James B..,...&Lu, Fengyan.(2018).Quantitative Holocene climatic reconstructions for the lower Yangtze region of China.CLIMATE DYNAMICS,50(3-4),1101-1113.
MLA Li, Jianyong,et al."Quantitative Holocene climatic reconstructions for the lower Yangtze region of China".CLIMATE DYNAMICS 50.3-4(2018):1101-1113.
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