4.4 Article

META-ANALYSIS OF CRYOGENIAN THROUGH MODERN QUARTZ MICROTEXTURES REVEALS SEDIMENT TRANSPORT HISTORIES

期刊

JOURNAL OF SEDIMENTARY RESEARCH
卷 91, 期 9, 页码 929-944

出版社

SEPM-SOC SEDIMENTARY GEOLOGY
DOI: 10.2110/jsr.2020.151

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资金

  1. National Science Foundation (NSF) [1541959]
  2. Victor P. Starr Development Chair
  3. David and Lucille Packard Foundation
  4. National Defense Science and Engineering Graduate Fellowship
  5. MIT
  6. Agouron Geobiology Institute
  7. MIT Wade Fund
  8. NASA Astrobiology's Exobiology and Evolutionary Biology Program [NNX08AO19G]
  9. New Zealand Foundation for Research, Science, and Technology [C01X0306]
  10. NSF Division of Polar Programs' McMurdo Long Term Ecological Research Project [1115245]
  11. National Association of Geoscience Teachers (NAGT) Scholarship
  12. Office of Polar Programs (OPP)
  13. Directorate For Geosciences [1115245] Funding Source: National Science Foundation
  14. NASA [NNX08AO19G, 97030] Funding Source: Federal RePORTER

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The study demonstrates that principal-component analysis (PCA) can effectively differentiate microtexture samples of different sediments, validate differences between aeolian transport and fluvial/glacial transport, and constrain transport histories of certain ancient sediments. By comparing and analyzing modern and ancient samples, we identified the microtextural differences between aeolian sandstone and fluvial/glacial sediments, highlighting the similarities in microtexture relationships between ancient and modern sediments.
Quantitative analysis of quartz microtextures by means of scanning electron microscopy (SEM) can reveal the transport histories of modern and ancient sediments. However, because workers identify and count microtextures differently, it is difficult to directly compare quantitative microtextural data analyzed by different workers. As a result, the defining microtextures of certain transport modes and their probabilities of occurrence are not well constrained. We used principal-component analysis (PCA) to directly compare modern and ancient aeolian, fluvial, and glacial samples from the literature with nine new samples from active aeolian and glacial environments. Our results demonstrate that PCA can group microtextural samples by transport mode and differentiate between aeolian transport and fluvial and glacial transport across studies. The PCA ordination indicates that aeolian samples are distinct from fluvial and glacial samples, which are in turn difficult to disambiguate from each other. Ancient and modern sediments are also shown to have quantitatively similar microtextural relationships. Therefore, PCA may be a useful tool to constrain the ambiguous transport histories of some ancient sediment grains. As a case study, we analyzed two samples with ambiguous transport histories from the Cryogenian Bravika Member (Svalbard). Integrating PCA with field observations, we find evidence that the Bravika Member facies investigated here includes aeolian deposition and may be analogous to syn-glacial Marinoan aeolian units including the Bakoye Formation in Mali and the Whyalla Sandstone in South Australia.

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