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作 者:Chen LIANG Yan ZHAO Feng QIN Zhuo ZHENG Xiayun XIAO Chunmei MA Huan LI Wenwei ZHAO
机构地区:[1]Key Laboratory of Land Surface Pattern and Simulation,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China [2]University of Chinese Academy of Sciences,Beijing 100049,China [3]Department of Earth Science,Sun Yat-sen University,Guangzhou 510275,China [4]State Key Laboratory of Lake Science and Environment,Nanjing Institute of Geography&Limnology,Chinese Academy of Sciences,Nanjing 210008,China [5]School of Geography and Ocean Science,Nanjing University,Nanjing 210023,China [6]Department of Earth Sciences,Vrije Universiteit Amsterdam,Amsterdam 1081 HV,The Netherlands [7]School of Geographic Science,Nantong University,Nantong 226009,China
出 处:《Science China Earth Sciences》2020年第8期1144-1160,共17页中国科学(地球科学英文版)
基 金:supported by the National Key Research and Development Program of China (Grant No. 2016YFA0600501);the National Natural Science Foundation of China (Grant Nos. 41690113, 41888101 and 41471169);the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDA20070101)。
摘 要:Quantitative climate reconstruction on long timescales can provide important insights for understanding the climate variability and providing valuable data for simulations. Unfortunately, the credibility of some attempts was hampered by incomplete reconstruction procedures. We here establish a comprehensive framework resting on high-quality Chinese modern pollen database, including modern pollen data screening, calibration set selection, major climate factor analysis, appropriate model selection, strict statistical assessment of results and ecological interpretation. The application of this framework to three high-resolution pollen records from the eastern Tibetan Plateau allows accurate quantitative inferences of Holocene temperature changes, which is the major control of regional vegetation. The results show that the mean warmest month temperature(MTwa)during the early Holocene was ca. 10.4℃ and reached the highest value at 8.5–6 ka BP(ca. 11℃). The early and mid-Holocene(11–5 ka BP) warmth was followed by 1.2℃ temperature decrease, culminating in the coolest temperatures of the Holocene during the Neoglacial cooling. Superimposing on the general cooling trend, MTwareveals a significant 500-yr periodicity with varying intensities through time, showing that warm(cold) intervals are in phase with solar maxima(minima) periods. This spectral similarity indicates a possible connection of multi-century scale climate fluctuations with solar forcing.
关 键 词:Approach framework of quantitative reconstruction Tibetan Plateau HOLOCENE Temperature changes PERIODICITY
分 类 号:P532[天文地球—古生物学与地层学]
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