中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Assessing the preservation of orbital signals across different sedimentary environments: Insights from stochastic sedimentation modeling

文献类型:期刊论文

作者Wang, Meng1,2; Li, Mingsong2,3; Hajek, Elizabeth A.4; Kemp, David B.5,6; Wu, Yujing2; Zhu, Hanyu2; Huang, Chunju5,6; Zhang, Haotian2; Ji, Kaixuan2; Zhang, Rui2,3,7
刊名EARTH AND PLANETARY SCIENCE LETTERS
出版日期2024-09-15
卷号642页码:12
关键词Sedimentation model Orbital signals Stratigraphic record Astronomical time scale Cyclostratigraphy
ISSN号0012-821X
DOI10.1016/j.epsl.2024.118866
通讯作者Li, Mingsong(msli@pku.edu.cn) ; Jin, Zhijun(jinzj1957@pku.edu.cn)
英文摘要Orbital forcing, a primary climatic driver, imprints discernible signatures in sedimentary strata that are instrumental for elucidating climatic change mechanisms and establishing high-resolution astronomical time scales (ATS). Our research dives into sedimentology and cyclostratigraphy, tackling the longstanding enigma of how orbital signals survive in dynamic environments where sediment deposition occurs at highly variable rates. Utilizing a stochastic sedimentation model, we simulate stratigraphic records containing orbital rhythms, representative of a range of depositional settings. We show that the 405-kyr eccentricity cycle is often the most reliably preserved, and sometimes even the sole trustworthy metronome in devising ATS among various tuning strategies. This holds particularly true in environments with high energy and unsteady sedimentation, such as fluvial or deltaic settings. In contrast, environments with lower sedimentation rate variability and higher overall sedimentation rates allow for the use of shorter-period orbital parameters in astronomical tuning, thereby enhancing the temporal resolution of ATS. This study has implications not only for decoding past climate forces but also for refining the precision of ATS, contributing significantly to our understanding of Earth's geological history.
WOS关键词POLARITY TIME-SCALE ; WILLWOOD FORMATION ; CLIMATE CONTROL ; BIGHORN BASIN ; SOUTH CHINA ; DEEP-SEA ; CYCLOSTRATIGRAPHY ; RECORDS ; SERIES ; AGE
资助项目National Key R & D Program of China[2022YFF0802900] ; National Key R & D Program of China[2021YFA0718200] ; National Natural Science Foundation of China[42072040] ; National Natural Science Foundation of China[41888101] ; National Natural Science Foundation of China[42230208]
WOS研究方向Geochemistry & Geophysics
语种英语
WOS记录号WOS:001346995300001
出版者ELSEVIER
资助机构National Key R & D Program of China ; National Natural Science Foundation of China
源URL[http://ir.nigpas.ac.cn/handle/332004/44482]  
专题中国科学院南京地质古生物研究所
通讯作者Li, Mingsong; Jin, Zhijun
作者单位1.Chinese Acad Sci, Nanjing Inst Geol & Palaeontol, State Key Lab Palaeobiol & Stratig, Nanjing 210008, Peoples R China
2.Peking Univ, Sch Earth & Space Sci, Key Lab Orogen Belts & Crustal Evolut, MOE, Beijing 100871, Peoples R China
3.State Key Lab Shale Oil & Gas Enrichment Mech & Ef, Beijing 100083, Peoples R China
4.Penn State Univ, Dept Geosci, University Pk, PA 16802 USA
5.China Univ Geosci, Sch Earth Sci, State Key Lab Biogeol & Environm Geol, Wuhan 430074, Peoples R China
6.China Univ Geosci, Sch Earth Sci, Hubei Key Lab Crit Zone Evolut, Wuhan 430074, Peoples R China
7.Peking Univ, Inst Energy, Beijing 100871, Peoples R China
推荐引用方式
GB/T 7714
Wang, Meng,Li, Mingsong,Hajek, Elizabeth A.,et al. Assessing the preservation of orbital signals across different sedimentary environments: Insights from stochastic sedimentation modeling[J]. EARTH AND PLANETARY SCIENCE LETTERS,2024,642:12.
APA Wang, Meng.,Li, Mingsong.,Hajek, Elizabeth A..,Kemp, David B..,Wu, Yujing.,...&Jin, Zhijun.(2024).Assessing the preservation of orbital signals across different sedimentary environments: Insights from stochastic sedimentation modeling.EARTH AND PLANETARY SCIENCE LETTERS,642,12.
MLA Wang, Meng,et al."Assessing the preservation of orbital signals across different sedimentary environments: Insights from stochastic sedimentation modeling".EARTH AND PLANETARY SCIENCE LETTERS 642(2024):12.

入库方式: OAI收割

来源:南京地质古生物研究所

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