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  4. 中国科学院新生代地质与环境重点实验室
Variation in the seasonal response to climate change during the past 1000 years as inferred from a Maar Lake sediment record, northeast China

文献类型：期刊论文

作者Luo, Hai1,2; Li, Jie2; Li, Peng3; Rioual, Patrick1,4; Zou, Yafei5; Zhang, Jiaoyang2; Yan, Yao2; Li, Jingjing2; Wang, Luo1
刊名JOURNAL OF PALEOLIMNOLOGY
出版日期2022-02-10
页码22
ISSN号0921-2728
关键词Northeastern China Diatom Last millennium Seasonality Paleolimnology
DOI10.1007/s10933-021-00228-3
英文摘要Diatoms are universally recognized as good bio-indicators due to their high diversity and rapid response to environmental and climate changes. This paper explores whether the sedimentary diatom record from Sanjiaolongwan Maar Lake (SJML), northeastern China, reveals variations in seasonal pattern over the past 1000 years. The observed succession in diatom assemblages reveals that between 980 and 1310 CE the small-celled planktonic diatom Discostella pseudostelligera was abundant. Its relative abundance peaked during 1020-1060 CE, indicating that the duration of summer conditions over this interval was the longest within the last millennium. By contrast, the interval between 1470 and 1850 CE was marked by an increase in benthic diatoms pointing to a shortened duration of the ice-free season, and generally cold conditions. During the twentieth century warm period, the succession of eutrophic diatoms and changes in diatom cell size also reveal temperature-controlled seasonal variations in limnological conditions. The differences observed between the diatoms assemblages associated with the two warm periods indicate that the summers of the warmest part of the Medieval Climate Anomaly were longer than that of the current warm period. This result is supported by the diatom record from Erlongwan, another maar lake in the region that differs from SJML by its topographic features and in the level of human impact on its catchment.
WOS关键词TEMPERATURE VARIABILITY ; PALEOLIMNOLOGICAL EVIDENCE ; ASTERIONELLA-FORMOSA ; PLANKTONIC DIATOMS ; VEGETATION CHANGE ; 1000-YEAR RECORD ; NUTRIENT LEVELS ; SHALLOW LAKES ; ALPINE LAKES ; COMMUNITIES
资助项目Strategic Priority Research Program of Chinese Academy of Sciences[XDB26000000] ; National Key R&D Program of China[2017YFA0603400] ; National Natural Science Foundation of China[41772379] ; National Natural Science Foundation of China[41372372]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Marine & Freshwater Biology
语种英语
出版者SPRINGER
WOS记录号WOS:000753917800001
资助机构Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China
源URL[http://ir.iggcas.ac.cn/handle/132A11/104903]  
专题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
通讯作者Wang, Luo
作者单位1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Cenozo Geol & Environm, Beijing 100029, Peoples R China
2.China Univ Geosci, Sch Earth Sci & Resources, Beijing 100083, Peoples R China
3.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China
4.Chinese Acad Sci, Ctr Excellence Life & Paleoenvironm, Beijing 100044, Peoples R China
5.Yunnan Univ, Res Ctr Earth Syst Sci, Kunming 650500, Yunnan, Peoples R China
推荐引用方式
GB/T 7714		 Luo, Hai,Li, Jie,Li, Peng,et al. Variation in the seasonal response to climate change during the past 1000 years as inferred from a Maar Lake sediment record, northeast China[J]. JOURNAL OF PALEOLIMNOLOGY,2022:22.
APA Luo, Hai.,Li, Jie.,Li, Peng.,Rioual, Patrick.,Zou, Yafei.,...&Wang, Luo.(2022).Variation in the seasonal response to climate change during the past 1000 years as inferred from a Maar Lake sediment record, northeast China.JOURNAL OF PALEOLIMNOLOGY,22.
MLA Luo, Hai,et al."Variation in the seasonal response to climate change during the past 1000 years as inferred from a Maar Lake sediment record, northeast China".JOURNAL OF PALEOLIMNOLOGY (2022):22.

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来源：地质与地球物理研究所

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