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A debris-covered glacier at Kerguelen (49°S, 69°E) over the past 15 000 years

Published online by Cambridge University Press:  04 November 2020

Joanna Charton*
Affiliation:
Université Paris 1 Panthéon-Sorbonne, CNRS Laboratoire de Géographie Physique, 92195 Meudon, France Aix-Marseille University, CNRS, IRD, INRAE, Collège de France, UM 34 CEREGE, 13545 Aix-en-Provence, France
Vincent Jomelli
Affiliation:
Université Paris 1 Panthéon-Sorbonne, CNRS Laboratoire de Géographie Physique, 92195 Meudon, France Aix-Marseille University, CNRS, IRD, INRAE, Collège de France, UM 34 CEREGE, 13545 Aix-en-Provence, France
Irene Schimmelpfennig
Affiliation:
Aix-Marseille University, CNRS, IRD, INRAE, Collège de France, UM 34 CEREGE, 13545 Aix-en-Provence, France
Deborah Verfaillie
Affiliation:
Earth and Life Institute, Université catholique de Louvain, B-1348 Louvain-la-Neuve, Belgium
Vincent Favier
Affiliation:
Université Grenoble Alpes, IGE, CNRS, 38058 Grenoble, France
Fatima Mokadem
Affiliation:
Université Paris 1 Panthéon-Sorbonne, CNRS Laboratoire de Géographie Physique, 92195 Meudon, France
Adrien Gilbert
Affiliation:
Université Grenoble Alpes, IGE, CNRS, 38058 Grenoble, France
Fanny Brun
Affiliation:
Université Grenoble Alpes, IGE, CNRS, 38058 Grenoble, France
Georges Aumaître
Affiliation:
Aix-Marseille University, CNRS, IRD, INRAE, Collège de France, UM 34 CEREGE, 13545 Aix-en-Provence, France ASTER Team
Didier L. Bourlès
Affiliation:
Aix-Marseille University, CNRS, IRD, INRAE, Collège de France, UM 34 CEREGE, 13545 Aix-en-Provence, France ASTER Team
Karim Keddadouche
Affiliation:
Aix-Marseille University, CNRS, IRD, INRAE, Collège de France, UM 34 CEREGE, 13545 Aix-en-Provence, France ASTER Team
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Abstract

Debris-covered glaciers constitute a large part of the world's cryosphere. However, little is known about their long-term response to multi-millennial climate variability, in particular in the Southern Hemisphere. Here, we provide first insights into the response of a debris-covered glacier to multi-millennial climate variability in the sub-Antarctic Kerguelen Archipelago, which can be compared to that of recently investigated debris-free glaciers. We focus on the Gentil Glacier and present 13 new 36Cl cosmic-ray exposure ages from moraine boulders. The Gentil Glacier experienced at least two glacial advances: the first one during the Late Glacial (19.0–11.6 ka) at ~14.3 ka and the second one during the Late Holocene at ~2.6 ka. Both debris-covered and debris-free glaciers advanced broadly synchronously during the Late Glacial, most probably during the Antarctic Cold Reversal event (14.5–12.9 ka). This suggests that both glacier types at Kerguelen were sensitive to abrupt temperature changes recorded in Antarctic ice cores, associated with increased moisture. However, during the Late Holocene, the advance at ~2.6 ka was not observed in other glaciers and seems to be an original feature of the debris-covered Gentil Glacier, related to either distinct dynamics or to distinct sensitivity to precipitation changes.

Information

Type
Physical Sciences
Copyright
Copyright © Antarctic Science Ltd 2020
Figure 0

Fig. 1. a. Map of the Kerguelen Archipelago and its location. b. The study area, Gentil Glacier, on Gallieni Peninsula, in the south of the archipelago (Digital Elevation Model from https://lpdaac.usgs.gov/products/astgtmv003, glacier outlines from the Global Land Ice Measurement from Space (GLIMS) database; Raup et al.2007).

Figure 1

Fig. 2. a. Glacial geomorphological map of Gentil Glacier, Kerguelen Archipelago. Rectangle corresponds to limits of b., which shows aerial imagery of the study area with geomorphological features. White boxes show the 36Cl ages of the moraine boulders with their inferred analytical uncertainties. 36Cl age in italics (Ker-57) is rejected as a statistical outlier and therefore excluded from the discussion. The asterisks mark the ages that are included in the arithmetic mean age of the G1 moraine group. The arithmetic mean ages of both moraine groups are shown with their full errors (i.e. standard deviation, analytical and production rate uncertainties).

Figure 2

Fig. 3. a. Photograph of active debris-covered Gentil Glacier, with the latest Holocene moraine ridges (G2a, G2b; purple lines), the inactive Late Holocene moraine ridge (pink line) and the fossil Late Glacial Period moraine ridges (G1a to G1d; red lines). b. Photograph of the fossil G1 Late Glacial Period moraine deposit. c. Photograph of one of the numerous ice cliffs, which are present on the active debris surface of Gentil Glacier.

Figure 3

Fig. 4. Photographs of boulders on the fossil G1 moraine sampled during the field campaigns.

Figure 4

Table I. Geographical sample locations, topographical shielding factors and sample thicknesses.

Figure 5

Table II. 36Cl dating results. Spike is enriched in 35Cl (~99.9%). 36Cl/35Cl and 35Cl/37Cl ratios were inferred from measurements at the ASTER accelerator mass spectrometry facility. Samples in italics were rejected as outliers and excluded from mean age calculations.

Figure 6

Fig. 5. Probability plots of 36Cl boulder cosmic-ray exposure (CRE) ages from the G1 moraine set. Individual 36Cl CRE ages are represented by thin red curves; the light grey curve is an outlier. The Gaussian curves of the individual ages only include the analytical uncertainties. The summed probability is presented by a red-shaded curve. The black circle represents the arithmetic mean of all individual ages except the outlier. Uncertainty of the arithmetic mean includes the standard deviation, analytical and production rate uncertainties. Also shown are the arithmetic means with their inferred full uncertainties of the two statistical subpopulations within the G1 group.

Figure 7

Fig. 6. Probability plots of 36Cl boulder cosmic-ray exposure (CRE) ages from the G2 moraine set. Individual 36Cl CRE ages are represented with thin purple curves. Note that the Gaussian curves of the individual ages only include the analytical uncertainties. The summed probabilities are presented by a purple-shaded curve. The black circle represents the arithmetic mean. Uncertainty of the arithmetic mean includes standard deviation and analytical and production rate (full) uncertainties.

Figure 8

Fig. 7. Location of 36Cl cosmic-ray exposure (CRE) ages with their arithmetic means. The 1σ uncertainties in the individual 36Cl CRE boulder ages account for analytical uncertainties only, while the uncertainties in the means include the standard deviation, analytical and production rate uncertainties. Sample Ker-57 in italics was rejected as an outlier based on the χ2 tests.

Figure 9

Fig. 8. Summary of 36Cl cosmic-ray exposure (CRE) ages covering the investigated period obtained at different sample sites (this study and Jomelli et al.2017, 2018). Reported mean 36Cl CRE boulder ages account for the standard deviation, analytical and production rate uncertainties.

Figure 10

Fig. 9. Kerguelen palaeoglacier records compared with palaeoclimatic proxies. a. Glacier chronologies: Cook Ice Cap outlet glaciers (circles), local glaciers (triangles), Gentil debris-covered glacier (red, purple) and debris-free glaciers (blue). b. The water isotope ratio (δ18OVSMOW; red curve) from WAIS Divide Project Members (2013). c. Southern Annular Mode (SAM)-like states (red boxes = positive, blue boxes = negative), reconstructed from d. Lago Cipreses non-arboreal pollen (NAP; black curve) in Patagonia (Moreno et al. 2018). e. and f.36Cl age probability density distributions with their analytical uncertainties (coloured curves) and summed probabilities (shaded areas) of debris-free glaciers (blue) (Jomelli et al. 2017, 2018) and debris-covered Gentil Glacier (red and purple). ACR = Antarctic Cold Reversal, WDC = WAIS Divide ice core. LIA = Little Ice Age.

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