Abstract
Ocean Drilling Program (ODP) Site 1051 (Blake Nose, western North Atlantic) is of crucial importance for reconstructing diatom evolution and biosiliceous sedimentation patterns through the early Cenozoic period of extreme greenhouse warmth followed by the progressive global cooling. The magnetostratigraphy in Hole 1051A, however, has been subject to divergent interpretations resulting in multi-million-year age control uncertainties, especially for events surrounding the early to middle Eocene transition. To resolve these uncertainties, we compare the stratigraphy of Hole 1051A to the neighboring Holes 1050A, C. We compile the published biomagnetostratigraphic data for both sites and identify three possible magnetostratigraphic solutions for Hole 1051A, the difference being the number of hiati and their duration. In order to identify the most plausible magnetostratigraphic solution for Hole 1051A, we employ the graphic correlation method, in which we compare the depth of individual magnetic reversals in both study sites against an independent proxy, i.e., 49 diatom evolutionary events identified in Holes 1050A,C and 1051A. The distribution of diatom bioevents lends strong support to the presence of two major hiati in both study sites: the upper hiatus juxtaposes magnetozone C21n on C22n, and the lower hiatus juxtaposes magnetozone C23n on C24n, eliminating the record of the initial part of the Early Eocene Climatic Optimum. Diatom, calcareous nannofossil and foraminiferal biostratigraphic markers also indicate that Hole 1051A terminated within magnetozone C28n rather than C27n. This age interpretation is strongly supported by the alignment of high-resolution weight percent biogenic SiO2 records from both study sites. The revised age models developed here for Holes 1050A,C and 1051A have profound consequences for interpretations of western North Atlantic paleoceanographic and paleoclimatic history through the early Paleogene. We propose a revised labelling of the early Eocene carbon cycle perturbations identified to date in Hole 1051A, and show how published Blake Nose δ30Si records change when data from Sites 1050 and 1051 are rescaled to the age models proposed herein. We emphasize that these refinements to the stratigraphy of Sites 1050 and 1051 are based on a study of diatom bioevents, which are here identified and calibrated to the Geomagnetic Polarity Timescale. This successful application of diatom biostratigraphy is a substantial advance toward their future utility in providing high-resolution age control for Paleogene deep-sea sites.
Highlights
Reconstructing climatic events of the warmer-than-present early Paleogene Period is of central importance to understanding and forecasting the behavior of the ocean-atmosphere system in our rapidly warming world
T F. kanayae is found within lower to middle C20n, with an age ranging from 42.89 to 43.15 Mean age (Ma), which is younger than the age proposed by Witkowski (2018; 43.60 Ma based on the composite record from Site 1051)
Whereas T acme H. jordani is clearly marked in the range charts, we found constraining the base of the acme problematic
Summary
Reconstructing climatic events of the warmer-than-present early Paleogene Period is of central importance to understanding and forecasting the behavior of the ocean-atmosphere system in our rapidly warming world. More than fifty years of deep-sea drilling has revealed numerous records of the key early Cenozoic climatic events, which are often viewed as analogs for the present anthropogenic global warming, including the Paleocene-Eocene Thermal Maximum (PETM) and the numerous transient warming events of the Early Eocene Climatic Optimum (EECO) (e.g., Cramer et al, 2003; Nicolo et al, 2007; Westerhold et al, 2018) The quality of these records, varies depending on the presence or absence of major sedimentary gaps, some of which cover large areas of the ocean floor. The most pronounced of these is the hiatus spanning the Early-Middle Eocene Transition (EMET; Aubry, 1995). Both deep-sea and onshore sites that do preserve EMET are sparse (Bornemann et al, 2016; Cappelli et al, 2019).
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