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An approach to quantifying Pliocene ice sheet dynamics via slope failure frequencies recorded in Antarctic Peninsula rise sediments

Published online by Cambridge University Press:  17 July 2009

Daniel A. Hepp*
Affiliation:
MARUM – Center for Marine Environmental Sciences and Department of Geosciences, University of Bremen, PO Box 330440, 28334 Bremen, Germany
Tobias Mörz
Affiliation:
MARUM – Center for Marine Environmental Sciences and Department of Geosciences, University of Bremen, PO Box 330440, 28334 Bremen, Germany
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Abstract

Understanding of glacially driven sedimentary transport systems across the shelf to the slope and subsequently to deep sea sediment bodies along the Pacific continental margin of Antarctic Peninsula is crucial for interpreting ice sheet dynamics. Here we quantify slope-failure frequencies recorded in Pliocene core intervals of ODP Site 1095. We used the relationship between long-term sedimentation rate and marine carbon burial efficiency to calculate glacial or interglacial specific sedimentation rates. Using the decompacted average length of glacial-interglacial cycles it was possible to solve a set of linear equations to derive average half-periods of 61.59 and 59.77 kyr respectively for the time interval 5.8–3.2 Ma. The resulting frequency distribution of slope failures reflects short and rapid but cyclic ice advances every ∼375 years. Short retention times between slope loading and slope failure are supported by biogenic silica dissolution analyses. This study demonstrates the potential of the rise record to improve models of orbitally controlled size variations of the West Antarctic ice sheet and confirms the hypothesis of a highly dynamic ice sheet during the early Pliocene warm period.

Information

Type
Earth Sciences
Copyright
Copyright © Antarctic Science Ltd 2009
Figure 0

Fig. 1 Bathymetric map of the Pacific continental margin off the Antarctic Peninsula. The map shows a glacially driven sediment feeder system of 1) lobes and 2) troughs on the outer shelf, 3) an oversteepened slope, 4) deep sea channels, and 5) sediment drifts on the continental rise and the location of ODP Site 1095 on the distal part of Drift 7 (modified after Lucchi et al. 2002, Rebesco et al. 2002).

Figure 1

Fig. 2 Digital X-ray images from early Pliocene glacial intervals of ODP Site 1095 show the typical, fine laminated silt layer sequences. a. shows core section 1095B-3H6, 104.5–105.5 mcd from uppermost early Pliocene, and b. 1095B-10H5 to 10H6, 169.5–170.5 mcd from lowermost early Pliocene (see Fig. 3).

Figure 2

Fig. 3 Sedimentation rates (cm kyr-1) for Site 1095 plotted vs depth. The dotted line shows the sedimentation rate based on a linear model from magnetostratigraphical-biochronological tie-points given in Acton et al. (2002) and Iwai et al. (2002). The solid line shows, for this study, a simplified linear sedimentation rate model with intervals A to I. For depth (meter below seafloor = mbsf) and age (Ma) tie-points see Table I. The bars show the depth position of the investigated core intervals (see Figs 2, 4 & 8).

Figure 3

Fig. 4 Core intervals at a. 108.0–101.0 mcd, and b. 171.5–166.5 mcd of ODP Site 1095. The diagram shows magnetic susceptibility (κ), total organic carbon (TOC), biogenic silica content (BSiO2) and the reaction rate constant of leached biogenic silica (Km), in relation to glacial (G) and true interglacial (IG) stages, as well as deglaciation phases (DP) including the ice sheet collapse (ISC). The sediment samples were distinguished in samples from pure silt layers (filled circles) and sediments without silt layers (open circles). Characteristic gradients of TOC and BSiO2 in relation to glacial stages are marked by arrows.

Figure 4

Fig. 5 Correlation between marine organic carbon and sedimentation rate (modified and simplified after Stein 1990). The model is based on data derived from Miocene to Pleistocene/Holocene sediment deposits in open marine (A) oxic, (A’) upwelling high-productivity, and (B) anoxic environments. The symbols and power fit graphs show ODP Site 1095 data of compacted sediments (open rhombi, solid line) and decompacted sediments after Stein (1990) (Eq. (3); filled circles, dotted line) or after Terzaghi (Eq. (4); open circles, dashed line) respectively.

Figure 5

Table I Simplified sedimentation rate model (see Fig. 3) computed for compacted and decompacted Eqs (3) & (4) sediments.

Figure 6

Fig. 6 Schematic diagram of the relationship between glacial-interglacial cycles, changes in the organic carbon content and changes in the sedimentation rate comprising following findings and boundary conditions: 1) The duration of glacial (G) and interglacial (IG) intervals is similar and the deglaciation phase (DP) spans equally both intervals, 2) The mean marine organic carbon content (Corg) correlates positively with the mean sedimentation rate (ω). Both, marine organic carbon contents and sedimentation rate are high in glacials, they decrease during deglaciation phase (glacial to interglacial transition), then achieve a lower level in the upper part of the interglacial and jump again to a high at the interglacial-glacial transition, 3) The linear sedimentation rate (LSR) based on a magnetostratigraphic-biochronologic age model given in Acton et al. (2002) and Iwai et al. (2002) and was computed using the tie-points TP1 and TP2, 4) For the deglaciation phase we calculated the duration and the relative timing of each silt layer (SL) depositions (zn) on the basis of the length of the deglaciation phase (zDP) and the sedimentation rates (ωn) coaxial between two adjacent silt layers (Δzn) using the function given in Eq. (6). Results are given in Table II.

Figure 7

Table II Computation of the mean average period of glacials (ΔtzavG+DP/2) and interglacials (ΔtzavIG+DP/2), each include half of a deglaciation phase, between the magnetostratigraphic-biochronologic age tie-points 5.98 and 3.22 Ma. Given are the results from different models on basis of linear sedimentation rates (see Table I) from (a) compacted sediments and decompaction models after (b) Stein (1990; see Eq. (3)), and (3) Terzaghi (see Eq. (4)). These values were used for Eq. (5).

Figure 8

Fig. 7 Schematic sketch of an opal (BSi) dissolution curve (dotted line). The SiO2 contribution of the lithogenic mineral phase can be extracted by a backward extrapolation of the linear fit of the dissolution curve. The corrected BSi content is retrieved from the fit curve at time zero (modified from Koning et al. 2002).

Figure 9

Fig. 8 Early Pliocene turbidite frequency for ODP 1095 core section between a. 105.64–104.02 mcd, and b. 168.93–168.27 mcd. The diagram shows a decrease in turbidite frequency during the deglaciation and the ice sheet collapse phase. The number of turbidites per 1 kyr was plotted on the ordinate. The dotted line shows the mean average turbidite ratio for the glacial interval and the deglaciation phase respectively. The chain line shows the mean average of the total turbidite interval.

Figure 10

Table III Conceptual model for the interplay of retention time of diatom skeletons on the shelf and slope, transport by downslope mass wasting processes, burial rate on the drift and the effects of these three laboratory opal leaching rate under different glacial-interglacial conditions in the Pliocene. A combination of prolonged retention times, fragmentation and relatively fast burial leads to increased laboratory leaching rates.