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A Quantitative Investigation of Large Geoscientific Datasets: How Records of Geochronology and Macroevolution Are Distorted by Paleoclimate, Paleoenvironment, and Sediment Preservation.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A Quantitative Investigation of Large Geoscientific Datasets: How Records of Geochronology and Macroevolution Are Distorted by Paleoclimate, Paleoenvironment, and Sediment Preservation.
Author:	Ye, Shan.
Published:	Ann Arbor : ProQuest Dissertations & Theses, 2022
Description:	594 p.
Notes:	Source: Dissertations Abstracts International, Volume: 84-03, Section: B.
Notes:	Includes supplementary digital materials.
Notes:	Advisor: Marcott, Shaun A.;Peters, Shanan E.
Contained By:	Dissertations Abstracts International84-03B.
Subject:	Geology.
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29391964
ISBN:	9798845422231

A Quantitative Investigation of Large Geoscientific Datasets: How Records of Geochronology and Macroevolution Are Distorted by Paleoclimate, Paleoenvironment, and Sediment Preservation.
Ye, Shan.

A Quantitative Investigation of Large Geoscientific Datasets: How Records of Geochronology and Macroevolution Are Distorted by Paleoclimate, Paleoenvironment, and Sediment Preservation. - Ann Arbor : ProQuest Dissertations & Theses, 2022 - 594 p.

Source: Dissertations Abstracts International, Volume: 84-03, Section: B.

Thesis (Ph.D.)--The University of Wisconsin - Madison, 2022.

This item must not be sold to any third party vendors.

A data-driven approach has been used for better evaluating some geoscience-related hypotheses. Large datasets now widely exist in various sub-disciplines of geoscience. Utilizing new tools and analytical methods to synthesize and explore these datasets can help us better address long-standing hypotheses. For this dissertation, I synthesize and explore several large datasets to address scientific questions in paleoclimate, quantitative stratigraphy, and macroevolution. In Chapter 1, 10Be dating data are intersected with modern and time-integrated snow data, revealing that changes in snow properties both throughout time and across space could both affect 10Be dating results. Over the past 22,000 years, snow properties changed significantly, especially during the deglaciation. Applying modern snow data and conditions when addressing the effects of snow shielding on exposure dating is problematic and can lead to large uncertainties in age calculations. Various scenarios of wind sweeping on the snow could also significantly influence results. In Chapter 2, Cretaceous North American dinosaur fossil data are intersected with geologic map and lithological column data from Macrostrat (and a new framework named Mesostrat) to test the long-standing assertion that preservation of sedimentary rock affects the record of dinosaur diversity. These data also reveal that dinosaur diversity in North America peaked in the Campanian and had a decline near the Campanian/Maastrichtian boundary, but during the Maastrichtian, dinosaur diversity stabilized until the K/Pg boundary, where dinosaurs suffered an abrupt extinction. In Chapter 3, the intersection between global Phanerozoic fossil data and geologic map data affirms that North America and western Europe are better sampled than other regions. The surface expressed geology, paleoenvironments, and sampling status of these two regions are used to predict potential fossil recovery in other regions, revealing that the Paleobiology Database samples the geology of other regions approximately 45% as well as it does that of North America and western Europe. In all three chapters, large datasets were aggregated from smaller datasets that had been used to study local-scale phenomena, but when they are aggregated into large datasets, they’re useful in addressing problems at larger temporal and spatial scales.

ISBN: 9798845422231Subjects--Topical Terms:

196077
Geology.
Subjects--Index Terms:

Cosmogenic nuclide dating

A Quantitative Investigation of Large Geoscientific Datasets: How Records of Geochronology and Macroevolution Are Distorted by Paleoclimate, Paleoenvironment, and Sediment Preservation.
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500 $a Includes supplementary digital materials.
500 $a Advisor: Marcott, Shaun A.;Peters, Shanan E.
502 $a Thesis (Ph.D.)--The University of Wisconsin - Madison, 2022.
506 $a This item must not be sold to any third party vendors.
520 $a A data-driven approach has been used for better evaluating some geoscience-related hypotheses. Large datasets now widely exist in various sub-disciplines of geoscience. Utilizing new tools and analytical methods to synthesize and explore these datasets can help us better address long-standing hypotheses. For this dissertation, I synthesize and explore several large datasets to address scientific questions in paleoclimate, quantitative stratigraphy, and macroevolution. In Chapter 1, 10Be dating data are intersected with modern and time-integrated snow data, revealing that changes in snow properties both throughout time and across space could both affect 10Be dating results. Over the past 22,000 years, snow properties changed significantly, especially during the deglaciation. Applying modern snow data and conditions when addressing the effects of snow shielding on exposure dating is problematic and can lead to large uncertainties in age calculations. Various scenarios of wind sweeping on the snow could also significantly influence results. In Chapter 2, Cretaceous North American dinosaur fossil data are intersected with geologic map and lithological column data from Macrostrat (and a new framework named Mesostrat) to test the long-standing assertion that preservation of sedimentary rock affects the record of dinosaur diversity. These data also reveal that dinosaur diversity in North America peaked in the Campanian and had a decline near the Campanian/Maastrichtian boundary, but during the Maastrichtian, dinosaur diversity stabilized until the K/Pg boundary, where dinosaurs suffered an abrupt extinction. In Chapter 3, the intersection between global Phanerozoic fossil data and geologic map data affirms that North America and western Europe are better sampled than other regions. The surface expressed geology, paleoenvironments, and sampling status of these two regions are used to predict potential fossil recovery in other regions, revealing that the Paleobiology Database samples the geology of other regions approximately 45% as well as it does that of North America and western Europe. In all three chapters, large datasets were aggregated from smaller datasets that had been used to study local-scale phenomena, but when they are aggregated into large datasets, they’re useful in addressing problems at larger temporal and spatial scales.
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650 4 $a Evolution & development. $3 708587
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653 $a Macroevolution
653 $a Macrostrat
653 $a Paleobiology database
653 $a Snow shielding
653 $a Spatiotemporal data
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710 2 $a The University of Wisconsin - Madison. $b Geoscience. $3 942588
773 0 $t Dissertations Abstracts International $g 84-03B.
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