The patchwork loess of Central Asia: Implications for interpreting aeolian dynamics and past climate circulation in piedmont regions

Author:

Dave Aditi K.12ORCID,Lisá Lenka34,Scardia Giancarlo5ORCID,Nigmatova Saida6,Fitzsimmons Kathryn E.12ORCID

Affiliation:

1. Research Group for Terrestrial Palaeoclimates Max Planck Institute for Chemistry Mainz Germany

2. Department of Geosciences University of Tübingen Schnarrenbergstrasse 94‐96 72076 Tübingen Germany

3. Institute of Geology Czech Academy of Sciences Prague Czech Republic

4. Nuclear Physics Institute of the Czech Academy of Sciences CRL Radiocarbon Laboratory Na Truhlářce 39/64 18086 Prague 6 Czech Republic

5. Instituto de Geociências e Ciências Exatas Universidade Estadual Paulista (UNESP) 13506‐900 Rio Claro SP Brazil

6. Institute of Geological Sciences K. Satpaeva Ministry for Education and Science of the Republic of Kazakhstan Almaty Kazakhstan

Abstract

ABSTRACTReconstruction of mass accumulation rates (MARs) in loess deposits are widely used for interpreting long‐term aeolian transport and climate dynamics in terrestrial environments. However, these interpretations are often driven by a preponderance of reconstructions from individual or selected sites, which can bias our understanding of past climate, especially in the absence of other proxy information. Recent studies on MARs from multiple loess sites in Arid Central Asia (ACA) reveal disparities in the timing of peaks in accumulation between sites, as well as asynchronies with loess flux in the Chinese Loess Plateau (CLP). We investigate this issue by (1) dating five new sites from the western Ili Basin, therefore extending the spatial cover of loess chronologies across ACA and (2) combining that with MARs from >30 sites across ACA and the CLP over the last 60 ka. Our results indicate spatio‐temporal inhomogeneity in the timing and rate of loess deposition across the ACA, and highlight the importance of interrogating local and regional influences on dust supply and transport. Our synthesis of MARs from ACA and the CLP suggests that the timing of peak dust flux as an indicator of large‐scale climate dynamics is best derived from an aggregate of sites; this removes site‐specific bias where local processes or topographic settings outweigh the climate signature.

Publisher

Wiley

Subject

Paleontology,Earth and Planetary Sciences (miscellaneous),Arts and Humanities (miscellaneous)

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