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Reconstructing Saharan dust transport to the Eastern Mediterranean Sea during the last 180 ka using endmember modelling of grain size data

Published online by Cambridge University Press:  06 January 2020

Sarah Beuscher*
Affiliation:
Institut für Geophysik und Geologie, Universität Leipzig, Leipzig, Germany
Werner Ehrmann
Affiliation:
Institut für Geophysik und Geologie, Universität Leipzig, Leipzig, Germany
Stefan Krüger
Affiliation:
Institut für Geophysik und Geologie, Universität Leipzig, Leipzig, Germany
Gerhard Schmiedl
Affiliation:
Centrum für Erdsystemforschung und Nachhaltigkeit, Universität Hamburg, Hamburg, Germany
*
*Corresponding author e-mail address: sarahbeuscher@gmx.de (S. Beuscher).
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Abstract

Endmember modelling on the terrigenous silt fraction of nine marine sediment cores spanning up to 180,000 years reveals the influx of North African dust into the Eastern Mediterranean Sea. The dust grain size modes decrease with transport distance, from >50 µm off the African coast to ca. 30 µm in the Aegean Sea. The dust signal is strongly influenced by hydrological changes in northern Africa. Changes from arid to humid periods are documented in the grain size data of all cores. The climatic signal gets weaker with growing distance from the source and close to large fluvial sediment sources such as the Nile. Frequency and wavelet analyses show a strong orbital precession signal that is known to trigger the migration of the monsoonal rain belt in northern Africa. The influence of climate changes on suborbital time scales on dust influx is less distinct, but Dansgaard-Oeschger interstadials and Heinrich-like events are documented in some cores. In the sediment core closest to the source, three endmembers represent one or more dust sources in northern Africa. With growing distance from the source, the three modes cannot be separated anymore and appear as one multimodal dust endmember.

Information

Type
Research Article
Copyright
Copyright © University of Washington. Published by Cambridge University Press, 2020
Figure 0

Figure 1. Location of the investigated sediment cores in the Eastern Mediterranean Sea (Mercator projection; after Grobe et al., 2003). Light blue arrows indicate the simplified ocean surface circulation pattern (after Pinardi and Marsetti., 2000; Lykousis et al., 2002). Framed yellow arrows schematically indicate main dust transport paths. Framed dark blue arrows indicate present-day fluvial sediment influx. Orange-shaded areas show potential dust source areas (PSA; after Scheuvens et al., 2013). (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)

Figure 1

Table 1. Metadata of the sediment cores investigated.

Figure 2

Figure 2. Silt endmembers of the investigated sediment cores. The endmembers related to aeolian dust are highlighted in red and the respective grain size modes are given. All endmember modes are listed in Table 2. The core positions are shown in Fig. 1. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)

Figure 3

Table 2. Results of endmember modelling of the silt grain size distributions of the sediment cores investigated.

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Figure 3. Endmember modelling results: mean coefficients of determination (r2 mean) versus the number of potential endmembers, and coefficients of determination (r2) versus grain size classes for a three-endmember model.

Figure 5

Figure 4. Comparison of grain size data from the literature and results of endmember modelling (this paper). Grain size data of aeolian sediments are shown by red dots, grain size of fluvially derived sediments by black crosses. (1) Guerzoni et al. (1997); (2) Goudie and Middleton (2001); (3) Pye (1992); (4) Nihlén and Olsson (1995); (5) Mattson and Nihlèn (1996); (6) Ganor and Mamane (1982); (7) O'Hara et al. (2006); (8) Blanchet et al. (2013); (9) Revel et al. (2010); (10) Ball (1939). (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)

Figure 6

Figure 5. Temporal loading patterns of the dust endmembers (EM1) of all investigated sediment cores. Bold red lines: 7-point running average. The grey shaded areas mark the sapropels. The inset sketches the differences between humid phases (A) and arid phases (B) in northern Africa. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)

Figure 7

Figure 6. Spatial variation pattern of the dust grain size modes. Dust endmembers and respective grain size modes are plotted next to the core positions, which are marked with red dots. A legend for interpreting the endmember graphs is given in the upper right corner. The distribution pattern shows three zones: ca. 50–55 µm (red), ca. 40 µm (orange), and ca. 30 µm (yellow). (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)

Figure 8

Figure 7. Results of the wavelet and frequency analyses of the dust endmember data sets of cores SL143, SL71, SL110, and SL99. Left, results of the wavelet analyses. The cone of influence and the 95% confidence interval are marked. Right, results of the frequency analyses. The 95% confidence interval (green curve), the 90% confidence interval (red curve), and the most distinct periods (in ka) are indicated. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)

Figure 9

Figure 8. (colour online) Temporal loading patterns of the silt dust endmembers of sediment cores SL71 (B) and SL99 (C) compared with the kaolinite/chlorite ratio of core SL71 (A), indicating the clay-sized dust input from the Sahara (Ehrmann et al., 2017). (D) North African humidity/aridity index (Grant et al., 2017); (E) summer insolation at June 21, 65°N (Laskar et al., 2004). Grey shaded areas mark sapropels. Darker lines in B and C: 7-point running average. Note that Grant et al. (2017) used a different age model.

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