MARC 主機 00000nam a2200337 4500
001 AAI3636321
005 20150827083007.5
008 150827s2014 ||||||||s|||||||| ||eng d
020 9781321178944
035 (MiAaPQ)AAI3636321
040 MiAaPQ|cMiAaPQ
100 1 Aswasereelert, Wasinee
245 10 Astronomical and Stochastic Influences on Lacustrine and
Marine Environments during the Cenozoic: Case Studies from
the Green River Formation (Eocene) and the World's Ocean
(Late Paleogene-Present)
300 155 p
500 Source: Dissertation Abstracts International, Volume: 76-
02(E), Section: B
500 Advisers: Stephen R. Meyers; Alan R. Carroll
502 Thesis (Ph.D.)--The University of Wisconsin - Madison,
2014
506 This item must not be sold to any third party vendors
520 Milankovitch theory provides a powerful deterministic
framework for paleoclimate analysis, and astrochronology
has become one of the most important methods for refining
the geological time scale. Astronomical forcing/pacing is
commonly perceived to exert a principal control on
sedimentary deposition within marine and lacustrine
environments during the Cenozoic, especially when
lithologic cyclicity is prominent. In contrast, stochastic
variability (noise) associated with the climate system and
depositional environment is commonly under-explored or
ignored in records for which Milankovitch cycles have been
proposed. This dissertation applies novel quantitative
cyclostratigraphic methodologies to demonstrate (1) how
basinwide spatio-temporal data from the Eocene Wilkins
Peak Member (Green River Formation) can be integrated and
quantitatively analyzed to provide an objective basis for
astronomical interpretation, and (2) how the evaluation of
stochastic variance in marine benthic foraminifera delta
18O data - and its interplay with astronomical influence -
can provide crucial information about paleoclimate
evolution during the Cenozoic, especially with regards to
the history of ice sheets. The Wilkins Peak analysis
confirms a strong astronomical imprint on sedimentation,
but also suggests a range of non-astronomical influences.
Furthermore, the results lead to a new interpretation that
the astronomical components were recorded by the
alternation of carbonate-rich lacustrine and siliciclastic
alluvial strata, instead of simple lacustrine deposition
associated with lake level fluctuation. With respect to
stochastic climate variability in benthic delta18O data
spanning the past 34 Ma, climate noise reveals both new
and previously proposed ice sheet growth events (including
the Oi and Mi events), Antarctic glaciation, Northern
Hemisphere glaciation, and mid-Pleistocene transition.
This dissertation demonstrates the complexity and
challenges inherent in cyclostratigraphy and
paleoclimatology, and quantitative approaches to overcome
some of these challenges. A complete understanding of the
controls on both stratigraphy and paleoclimate cannot be
reached if either deterministic or stochastic variance is
totally ignored
590 School code: 0262
650 4 Sedimentary geology
650 4 Paleoclimate science
690 0594
690 0653
710 2 The University of Wisconsin - Madison.|bGeoscience
773 0 |tDissertation Abstracts International|g76-02B(E)
856 40 |uhttps://pqdd.sinica.edu.tw/twdaoapp/servlet/
advanced?query=3636321
912 PQDT
