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author:

Ma, Kunyuan (Ma, Kunyuan.) [1] | Hinnov, Linda (Hinnov, Linda.) [2] | Zhang, Xinsong (Zhang, Xinsong.) [3] | Gong, Yiming (Gong, Yiming.) [4]

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Abstract:

One of the five great mass extinctions of the Phanerozoic is the Frasnian–Famennian (F–F) mass extinction, for which the causes have not yet been identified. In this study, cyclostratigraphic analysis of two F–F transition sections was carried out in South China: the Yangdi section, a marine slope facies, and the Lali section, a marine basin facies. Paleoclimate proxy data collected at high resolution along these sections include magnetic susceptibility and X-ray fluorescence geochemistry (Ca and Fe concentrations). Time series analysis and modeling of the proxy data reveal that frequencies comparable to those of the Earth's long and short orbital eccentricity, obliquity, and precession index characterize the two successions. Metronomic 405-kyr long orbital eccentricity cycles identified along the two sections were used to construct a floating astronomical time scale across the F–F transition, revealing that 1000 kyr separates the Lower and Upper Kellwasser horizons (LKH and UKH), and ~1600 kyr separates the maximum values of the LKH and UKH δ13C excursions. The estimated duration of the UKH is 150 kyr, during which the first, second, and third extinctions of the F–F biotic crisis lasted 120 kyr, 20 kyr, and 10 kyr, respectively. Sedimentary noise models of the magnetic susceptibility and Ca concentration time series indicate that changes in sedimentary noise correspond to sea level variations. Modeling suggests that the long orbital eccentricity cycles controlled sea surface temperatures, and that third-order eustatic changes were forced by the combined orbital eccentricity and obliquity variations. Finally, we propose an 'astronomical climate change' model as a defining mechanism of the F–F biotic crisis. © 2022

Keyword:

Binary alloys Climate change Climate models Glacial geology Magnetic susceptibility Orbits Sea level Sedimentology Surface temperature Surface waters Time series analysis

Community:

  • [ 1 ] [Ma, Kunyuan]College of Mining Engineering, Taiyuan University of Technology, Taiyuan; 030024, China
  • [ 2 ] [Ma, Kunyuan]State Key Laboratory of Biogeology and Environmental Geology, School of Earth Sciences, China University of Geosciences, Wuhan; 430074, China
  • [ 3 ] [Ma, Kunyuan]Department of Atmospheric, Oceanic, and Earth Sciences, George Mason University, Fairfax; VA; 22030, United States
  • [ 4 ] [Hinnov, Linda]Department of Atmospheric, Oceanic, and Earth Sciences, George Mason University, Fairfax; VA; 22030, United States
  • [ 5 ] [Zhang, Xinsong]State Key Laboratory of Biogeology and Environmental Geology, School of Earth Sciences, China University of Geosciences, Wuhan; 430074, China
  • [ 6 ] [Zhang, Xinsong]Zijin Mining College, Fuzhou University, Fuzhou; 350108, China
  • [ 7 ] [Gong, Yiming]State Key Laboratory of Biogeology and Environmental Geology, School of Earth Sciences, China University of Geosciences, Wuhan; 430074, China

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Source :

Global and Planetary Change

ISSN: 0921-8181

Year: 2022

Volume: 215

3 . 9

JCR@2022

4 . 0 0 0

JCR@2023

ESI HC Threshold:51

JCR Journal Grade:2

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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