中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Oligocene climate signals and forcings in Eurasia revealed by plant macrofossil and modelling results

文献类型:期刊论文

作者Li, Shufeng1,2; Xing, Yaowu1; Valdes, Paul J.2; Huang, Yongjiang3; Su, Tao1; Farnsworth, Alex2; Lunt, Daniel J.2; Tang, He1,4; Kennedy, Alan T.2; Zhou, Zhekun1,3
刊名GONDWANA RESEARCH
出版日期2018-09-01
卷号61页码:115-127
关键词Oligocene Eurasia Paleoclimate Fossil Simulation
ISSN号1342-937X
英文摘要The Oligocene represents a transitional time period from a warm climate to a cooler climate that is more representative of the modern day; yet, a general view of continental climate pattern and forcings are still lacking. Different proxies and models show striking disparities, especially in mid-high latitudes, requiring validation of Oligocene climate reconstruction in order to understand the large-scale processes that drive the observed climate changes. Here, we compiled 149 macrofossil floras in the mid-high latitudes of Eurasia, then quantitatively reconstructed the Oligocene climate using Coexistence Approach (CA) and combined previously published paleoclimate data. During the Oligocene, Eurasian mid-high latitudes were mainly dominated by a humid subtropical climate. Mean annual temperature (MAT) ranged between 5.4 degrees C and 25.5 degrees C with mean annual precipitation (MAP) ranging from 338 to 2453 mm. Three regions (Europe, central Eurasia and eastern Asia) indicate different climatic regimes, with a generally warmer and wetter climate in Europe and a colder and drier climate in central Eurasia when compared to eastern Asia. No significant reorganization of climate was observed between the Early and Late Oligocene. The climate anomalies between the Oligocene and present indicate that geographic changes (e.g. retreat of the Paratethys Sea) played an important role in shaping the climate pattern of Eurasia. By comparing the fossil data to a range of different HadCM3L model simulations of the Oligocene with differing boundary conditions (e.g. CO2 and topography), we demonstrate similar large-scale climate spatial patterns between models and fossil data, however, models simulated much higher temperature seasonality (lower simulated winter temperatures and higher simulated summer temperatures) in Eurasia. Mean annual temperature analysis indicates that simulations with 560 and 1120 ppmv CO2 matched better with fossil data when compared to other simulations, depending on the topography. These results provide some constraints that should be considered for future paleoclimate modelling. (C) 2018 Published by Elsevier B.V. on behalf of International Association for Gondwana Research.
资助项目NSFC-RCUK NERC joint project[41661134049] ; Natural Environment Research Council[NE/P013805/1] ; National Natural Science Foundation of China[41772026] ; National Natural Science Foundation of China[41372035] ; National Natural Science Foundation of China[U1502231] ; Pioneer Hundred Talents Program of the Chinese Academy of Sciences[2016-062] ; Foundation of the State Key Laboratory of Paleobiology and Stratigraphy, Nanjing Institute of Geology and Paleontology, Chinese Academy of Sciences[153107] ; CAS 135 program[2017XTBG-F01] ; NERC[NE/L002434/1] ; NERC[NE/K014757/1]
语种英语
资助机构NSFC-RCUK NERC joint project ; Natural Environment Research Council ; National Natural Science Foundation of China ; Pioneer Hundred Talents Program of the Chinese Academy of Sciences ; Foundation of the State Key Laboratory of Paleobiology and Stratigraphy, Nanjing Institute of Geology and Paleontology, Chinese Academy of Sciences ; CAS 135 program ; NERC
源URL[http://ir.kib.ac.cn/handle/151853/64341]  
专题昆明植物研究所_中国科学院东亚植物多样性与生物地理学重点实验室
通讯作者Xing, Yaowu
作者单位1.Chinese Acad Sci, CAS Key Lab Trop Forest Ecol, Xishuangbanna Trop Bot Garden, Kunming 666303, Yunnan, Peoples R China
2.Univ Bristol, Sch Geog Sci, Bristol, Avon, England
3.Chinese Acad Sci, Kunming Inst Bot, Key Lab Biogeog & Biodivers, Kunming 650204, Yunnan, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
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GB/T 7714
Li, Shufeng,Xing, Yaowu,Valdes, Paul J.,et al. Oligocene climate signals and forcings in Eurasia revealed by plant macrofossil and modelling results[J]. GONDWANA RESEARCH,2018,61:115-127.
APA Li, Shufeng.,Xing, Yaowu.,Valdes, Paul J..,Huang, Yongjiang.,Su, Tao.,...&Zhou, Zhekun.(2018).Oligocene climate signals and forcings in Eurasia revealed by plant macrofossil and modelling results.GONDWANA RESEARCH,61,115-127.
MLA Li, Shufeng,et al."Oligocene climate signals and forcings in Eurasia revealed by plant macrofossil and modelling results".GONDWANA RESEARCH 61(2018):115-127.

入库方式: OAI收割

来源:昆明植物研究所

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