Abstract
In this study, we present the results of independent component analysis (ICA) of previously published Lake Van data covering the last 250 kyr BP, to shed light on the precipitation and temperature regime in eastern Anatolia. The data processed were the element intensities of Ca, Fe, K, Mn, and Si analyzed by XRF core scanner; concentrations of TOC and CaCO3 content; and B* (color reflectance) from the Ahlat Ridge sediment record. Our analysis is based on application of ICA on the data by changing the initial random unit vector several times and clustering possible independent components through average-link agglomeration. As components extracted by ICA do not have a hierarchy, mutual information, which is a measure of information content between two random variables, is used as a measure of similarity by which to select candidate components. As a result, we argue, the independent component (Van-IC8), which shows the highest similarity to the Greenland δ18O record and visually similar to other regional temperature indicating data, can be read as a proxy for temperature variability. We also assert that the independent component (Van-IC7) which has the highest similarity to B* and visually similar to other regional precipitation proxies, and with the lake level reconstruction from another sediment profile from Lake Van is a proxy of precipitation variability across the region. Our results show that the region's temperature approximately maps onto global records, i.e. warm during interglacials and cold during stadials. However, the precipitation proxy reveals that the region was not dry, or at least as wet as it is today, during the end of the MIS 6 and the LGM. The MIS 5e/c and Holocene were characterized by a wet period followed by dry intervals and Dansgaard/Oeschger events are characterized as being warm and wet.
Original language | English |
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Pages (from-to) | 119-129 |
Number of pages | 11 |
Journal | Quaternary International |
Volume | 514 |
DOIs | |
Publication status | Published - 30 Apr 2019 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2018 Elsevier Ltd and INQUA
Funding
We would like to thank Mona Stockhecke and Ola Kwiecien for sharing data from Lake Van and Ozan Mert Göktürk for sharing meteorology data. We would also like to sincerely thank to Günter Landmann, Sena Akçer-Ön and three anonymous reviewers for their constructive comments and Alan M. Greaves for editorial assistance. All the computations were made using commercial software (MATLAB 8.2, The MathWorks Inc. Natick, MA, 2013). Graphs, except relating to ICASSO package, were plotted using Veusz software (a scientific plotting package). The Dead Sea facies curve, NB δ18O data and lake level reconstruction were digitized using Engauge Digitizer software. All computations were made on a Linux computer with an Intel i7 core.
Funders | Funder number |
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Dead Sea facies curve | |
MathWorks Inc |
Keywords
- Eastern Mediterranean
- FastICA
- Last Glacial Maximum
- Paleoclimatology
- Pleistocene