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Regional to global correlation of Eocene–Oligocene boundary transition successions using biostratigraphic, geophysical and geochemical methods

Published online by Cambridge University Press:  12 July 2019

Brooks B. Ellwood*
Affiliation:
Louisiana State University, Department of Geology and Geophysics, E235 Howe-Russell Geoscience Complex, Baton Rouge, Louisiana, 70803, USA
Lawrence Febo
Affiliation:
Chevron Energy Technology Company, 1500 Louisiana Street, Houston, Texas, 77002, USA
Laurie Anderson
Affiliation:
South Dakota School of Mines and Technology, Department of Geology and Geological Engineering and Museum of Geology, Rapid City, South Dakota, 57701, USA
Rebecca T. Hackworth
Affiliation:
Chevron Energy Technology Company, 1500 Louisiana Street, Suite 30087, Houston, Texas, 77002, USA
Guy H. Means
Affiliation:
Florida Geological Survey, 903 West Tennessee Street, Tallahassee, Florida, 32304, USA
Jonathon A. Bryan
Affiliation:
Northwest Florida State College, 100 College Boulevard, Niceville, Florida, 32578, USA
Jonathan Tomkin
Affiliation:
School of Earth, Society, and Environment, University of Illinois, Natural History Building, MC-103, Urbana, Illinois, 61801, USA
Harry Rowe
Affiliation:
Premier Oilfield Group, 11335 Clay Road, Suite 180, Houston, Texas, 77041, USA
Luigi Jovane
Affiliation:
Instituto Oceanográfico da Universidade de São Paulo, São Paulo, Brazil
*
Author for correspondence: Brooks B. Ellwood, Email: ellwood@lsu.edu
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Abstract

Regional to global high-resolution correlation and timing is critical when attempting to answer important geological questions, such as the greenhouse to icehouse transition that occurred during the Eocene–Oligocene boundary transition. Timing of these events on a global scale can only be answered using correlation among many sections, and multiple correlation proxies, including biostratigraphy, lithostratigraphy, geochemistry and geophysical methods. Here we present litho- and biostratigraphy for five successions located in the southeastern USA. To broaden the scope of correlation, we also employ carbon and oxygen stable isotope and magnetic susceptibility (χ) data to interpret these sections regionally, and correlate to the Global Boundary Stratotype Section and Point (GSSP) near Massignano in central Italy. Our results indicate that approaching the Eocene–Oligocene boundary, climate warmed slightly, but then δ18O data exhibit an abrupt c. +5 ‰ positive shift towards cooling that reached a maximum c. 1 m below the boundary at St Stephens Quarry, Alabama. This shift was accompanied by a c. −3 ‰ negative shift in δ13C interpreted to indicate environmental changes associated with the onset of the Eocene–Oligocene boundary planktonic foraminiferal extinction event. The observed cold pulse may be responsible for the final extinction of Hantkeninidae, used to define the beginning of the Rupelian Stage. Immediately preceding the boundary, Hantkeninidae species dropped significantly in abundance and size (pre-extinction dwarfing occurring before the final Eocene–Oligocene extinctions), and these changes may be the reason for inconsistencies in past Eocene–Oligocene boundary placement in the southeastern USA.

Information

Type
Original Article
Copyright
© Cambridge University Press 2019 
Figure 0

Fig. 1. Location map of E–O sections sampled from the southeastern United States (Fig. 2). GM&O – Gulf, Mobile and Ohio trestle section; HIW – Hiwannee Sections; SSQ – St Stephens Pelham Hill North Quarry composite section; RSQ – Red Stick Quarry section; BQ – Brooks Quarry section. Image modified from Google Earth. The arrow indicates a trend towards deeper marine sections, from marine clays in the northwest to marine limestone beds in the southeast. Distance represented is ∼340 km from the GM&O section in Mississippi to the BQ section in Florida.

Figure 1

Fig. 2. Stratigraphy for sampled measured sections and the HIW core, which is directly correlated to a measured section cropping out ∼500 m to the WSW on the Chickasawhay River. Locations are given in Figure 1: (a) GM&O, (b) HIW, (c) SSQ, (d) RSQ, and (e) BQ. Solid red correlation lines represent the E–O boundary; dashed black lines represent unconformities. The E–O boundary is identified by the highest observed occurrence point (HOOP) of the Hantkeninidae family, and coincides with the transition from the Shubuta Clay Member of the Yazoo Formation, Jackson Group, into the Red Bluff Formation of the Vicksburg Group. (f) Locations as given in Figure 1, extending from SE Mississippi to the Florida Panhandle.

Figure 2

Fig. 3. Photomicrographs of glauconite- and pyrite-filled faecal pellets and foraminifera tests from the Shubuta Clay Member of the Yazoo Formation at St Stephens Quarry. (a) Glauconite-filled faecal pellet. (b) Glauconite-filled faecal pellet oxidized by weathering to haematite. (c) Glauconite- and pyrite-filled foraminifera with slight alteration to haematite. (d) Unoxidized pyrite-filled foraminifera (work from Ellwood et al.1986). These redox variations result in the colours observed in samples from these units throughout the SE United States.

Figure 3

Fig. 4. A ∼2 m segment of core through the E–O boundary interval at Hiwannee, Mississippi, illustrating the colour changes from glauconitic to pyritic, and the gradational character in both the lithologic and χ datasets exhibited. These variations are similar to those seen in the SSQ ∼ 45 km to the southeast in Alabama.

Figure 4

Fig. 5. St Stephens Pelham Hill North Quarry, near St Stephens, Alabama (SSQ, Figs 1, 2c), showing exposures of the Oligocene Red Bluff and Forest Hill formations, and Miocene Mint Spring Formation. Note that the Pachuta Marl and Shubuta Clay members of the Yazoo Clay Formation, Jackson Group, are covered intervals in the photograph and lie below the Red Bluff Formation. Stippled zone in the drawn section (left) represents the gradational transition from the Eocene Shubuta Clay Member into the Oligocene Red Bluff Formation, a zone in which Hantkeninidae diminish in size and disappear at the top. Note the light coloured interbedded marl–limestone couplets defining the Red Bluff Formation.

Figure 5

Fig. 6. The gradational transition in the St Stephens quarry from the glauconite-rich Shubuta Clay Member of the Yazoo Formation into the overlying darker specular pyrite-abundant Red Bluff Formation with the ‘blue marl’ colour variant at its base. Also shown are ‘marl 1’ and ‘limestone 1’ of the Red Bluff Formation (Fig. 2b). Tape measure for scale is extended 56 cm.

Figure 6

Fig. 7. Limestone exposures in the Brooks Quarry (BQ) measured section (Figs 1, 2e). The limestone beds that crop out here in Florida, the Ocala Limestone and Marianna Limestone, are deeper-water limestone beds than those developed in the Red Bluff succession in St Stephens Quarry, Alabama.

Figure 7

Fig. 8. Planktonic foraminiferal stratigraphic distribution for samples from the Brooks Quarry (BQ) measured section. Horizontal shaded bars represent histograms of abundances. The number of organisms identified is included.

Figure 8

Fig. 9. Low-field bulk mass-specific magnetic susceptibility (χ) data for the St Stephens Pelham Hill North Quarry measured composite section. χ is reported as raw (dotted curve) and smoothed (solid curve) datasets; circles represent stratigraphic position of each sample collected. Lithology corresponding to Figures 2c and 5. χ bar-log zonation is constructed from the smoothed χ dataset, and χ zones are labelled: ascending through the Oligocene (O1–O9) and descending through the Eocene (Ez–Eq). The E–O boundary is represented by the solid red line and is identified by the HOOP (highest observed occurrence point) of Hantkeninidae, and lies at the top of the conformable transition from the Shubuta Clay Member into the Red Bluff Formation where Hantkeninidae diminish in size and at the top disappear from the section. Note that there is a disconformity between the Pachuta Marl Member and the Shubuta Clay Member identified by a distinctive hardground, wood fragments and a large change in the χ dataset. Based on an abrupt shift in the χ dataset, a second disconformity may exist between the top of the Red Bluff Formation and the overlying Forest Hill Formation.

Figure 9

Fig. 10. Lithologic and χ comparison between the SSQ and BQ sections (Figs 1, 2c, e). The solid red line in the SSQ data represents the E–O boundary, picked using the HOOP for Hantkeninidae; the dashed red line in the BQ represents a pick from both biostratigraphy and χ correlation. The disconformity between the Shubuta and Pachuta beds in the SSQ is observed higher in the BQ section. χ data bar-logs were constructed from smoothed χ datasets from both quarries. Note that a number of the Oligocene χ zones present at SSQ are missing in the BQ.

Figure 10

Fig. 11. Comparison of χ bar-log data from the SSQ section versus the GSSP at Massignano, Italy (χ zones as in Fig. 9). Note the similar range of χ values among the two sections. The solid red line represents the E–O boundary location in these two successions. χ data for the GSSP are modified from Jovane et al. (2006, 2007).

Figure 11

Fig. 12. The χ dataset for the Eocene segment of the Hiwannee (HIW) core, illustrating cyclic trends and shallow versus deeper-water fluctuations represented in a ∼24 m segment of core. HIW bar-logs are compared to SSQ bar-logs (right) and indicate that the Shubuta SAR at Hiwannee is approximately double that represented by the Eocene SSQ sequence sampled. The rise and fall nomenclature is interpreted as sea-level variations during deposition of this sequence. Note that when sea-level is interpreted as deeper, there is carbonate deposition as indicated by CaCO3-rich levels in the core. These are similar to the high carbonate ‘Shubuta lime bed’ observed in St Stephens Quarry (Figs 2a, c, 9–11, 17).

Figure 12

Fig. 13. Thermomagnetic susceptibility (TSM, κ v. T) results for measurements of Shubuta Clay Member and Red Bluff Formation limestone and marl samples from the SSQ section: (a) heating curves only; (b) heating and cooling both reported.

Figure 13

Fig. 14. Graphic comparison of χ bar-logs between the GSSP (shown in insert -top) and SSQ datasets. Data points are the intersection of each SSQ χ zone top and base with the corresponding χ zone top and base in the GSSP. A single line of correlation (LOC) is fit through these data. The 26° angle represents the angle of the LOC to the GSSP dataset and being less than 45° indicates that sediment accumulated faster at the GSSP section relative to the SSQ section. Graphic comparison produces a well-defined straight-line segment indicating that the two datasets represent similar amounts of time. The E–O boundary at the GSSP is identified by the last appearance datum (LAD) of the Hantkeninidae family, corresponding in the SSQ to the HOOP of Hantkeninidae that coincides with the transition from the Shubuta Clay Member to the Red Bluff Formation in the SSQ. This transition lies at the beginning of χ zone O1 in both sections.

Figure 14

Fig. 15. Time-series analysis (MTM – multi-taper method) of the raw SSQ χ dataset, exhibiting strong E1 (∼100 kyr) and a moderate confidence E2 (∼405 kyr) Milankovitch eccentricity cyclicity. In addition there is a moderate confidence P1 (∼19 kyr) cyclicity. Milankovitch cycles, which were tested for, are given in the upper right corner of the diagram. Sediment accumulation rate (SAR) indicates that the sediment accumulated in ∼0.9 Myr with a SAR of ∼0.64 cm kyr−1.

Figure 15

Fig. 16. The SSQ succession from the St Stephens quarry exhibits a relatively well-defined floating point time scale (FPTS) from a time-series analysis of ∼125 samples collected from a ∼6 m succession using raw unsmoothed χ data for the SSQ section bracketed by the two identified disconformities given in Figure 9. χ bar-logs (zones) constructed from the raw χ data (Fig. 9) are graphically compared to a uniform Milankovitch 100,000 year eccentricity climate model (Berger et al.1992), for the Eocene–Oligocene boundary interval, where each coloured bar represents ∼50,000 years. The intersections of the tops and bottoms of corresponding χ bar-logs and the uniform climate model bar-logs are plotted as stippled dots, and fits through these data are shown as LOC line segments. Using the individual segments, elements from the SSQ section χ bar-logs are projected onto the FPTS and assigned a total length of time of ∼0.9 Myr. This E1 eccentricity climate model provides a FPTS that can be adjusted as timescales change. LOC segments indicate similar sediment accumulation rates (SAR) of ∼0.57 cm kyr−1 in the Shubuta Clay Member and ∼0.72 cm kyr−1 in the Red Bluff Formation, indicating an up-section increase in SAR beginning just before the E–O boundary.

Figure 16

Fig. 17. Oxygen and carbon stable isotopic results from St Stephens quarry compared with the χ trends for the composite section presented in Figure 9. Trends in δ18O are interpreted as ‘colder’ versus ‘warmer’, integrating both ice volume and temperature contributions; χ trends are interpreted as deeper versus shallower based on variations in detrital components controlling the χ trends and on the limestone versus marl deposition; δ13C trends are interpreted in terms of carbon burial as limestone (orange dashed arrows) and carbon burial from productivity (green dashed arrow). Note that the δ13C trends correlate very well with the limestone/marl cycles as represented by lithology and χ trends, and these cycles are visually apparent in the Red Bluff Formation in the St Stephens Quarry (Fig. 5). The stippled zone in the SSQ lies at the top of the conformable transition from the Shubuta Clay Member into the Red Bluff Formation where Hantkeninidae diminish in size and at the top of the zone disappear from the section.