Preprints
https://doi.org/10.5194/cp-2020-154
https://doi.org/10.5194/cp-2020-154

  29 Dec 2020

29 Dec 2020

Review status: a revised version of this preprint was accepted for the journal CP and is expected to appear here in due course.

Climate reconstructions based on GDGT and pollen surface datasets from Mongolia and Siberia: calibrations and applicability to extremely cold-dry environments over the Late Holocene

Lucas Dugerdil1,2, Sébastien Joannin2, Odile Peyron2, Isabelle Jouffroy-Bapicot3, Boris Vannière3, Boldgiv Bazartseren4, Julia Unkelbach5, Hermann Behling5, and Guillemette Ménot1 Lucas Dugerdil et al.
  • 1Univ. Lyon, ENS de Lyon, Université Lyon 1, CNRS, UMR 5276 LGL-TPE, F-69364, Lyon, France
  • 2Université de Montpellier, CNRS, IRD, EPHE, UMR 5554 ISEM, Montpellier, France
  • 3Université Bourgogne Franche Comté, CNRS UMR 6249 Laboratoire Chrono-environnement, F-25030, Besançon, France
  • 4Ecology Group, Department of Biology, School of Arts and Sciences, National University of Mongolia, Ulaanbaatar 14201, Mongolia
  • 5Department of Palynology and Climate Dynamics, Albrecht-von-Haller-Institute for Plant Sciences, University of Goettingen, Germany

Abstract. Our understanding of climate and vegetation changes throughout the Holocene is hampered by representativeness in sedimentary archives. Potential biases such as production and preservation of the markers are identified by comparing these proxies with modern environments. It is important to conduct multi-proxy studies and robust calibrations on each terrestrial biome. These calibrations use large data base dominated by forest samples. Therefore, including data from taiga and steppe sites becomes mandatory to better calibrate arid environments. The Mongolian plateau, ranging from the Baikal basin to the Gobi desert, is especially characterized by low annual precipitation and continental annual air temperature. The characterization of the climate system of this area is crucial for the understanding of Holocene Monsoon Oscillations. This study focuses on the calibration of proxy-climate relationships for pollen and glycerol dialkyl glycerol tetraethers (GDGTs) by comparing large published Eurasian calibrations with a set of 49 new surface samples (moss polster, soil and mud from temporary dry pond). These calibrations are then cross-validated by an independent dataset of top-core samples and applied to two Late Holocene paleosequences in the Altai mountains and the Qaidam basin. We show that: (1) preserved pollen assemblages are clearly imprinted on the extremities of the ecosystem range but mitigated and unclear on the ecotones; (2) for both proxies, inferred relationships depend on the geographical range covered by the calibration database as well as on the nature of samples; (3) even if local calibrations suffer from reduced amplitude of climatic parameter due to local homogeneity, they better reflect actual climate than the global ones by reducing the limits for saturation impact, (4) a bias in climatic reconstructions is induced by the over-parameterization of the models by addition of artificial correlation and (5) paleoclimate values reconstructed here are consistent with Mongolia-China Late Holocene climate trends, and validate the application of local calibrations for both pollen and GDGTs (closest fit to actual values and realistic paleoclimate amplitude). We encourage the application of this surface calibration method to reconstruct palaeoclimate and especially consolidate our understanding of the Holocene climate and environment variations in Arid Central Asia.

Lucas Dugerdil et al.

 
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Status: closed
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Lucas Dugerdil et al.

Lucas Dugerdil et al.

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Short summary
Since the understanding of Holocene climate change appear to be a relevant issue for future climate change, the paleoclimate calibrations have to be improved. Here, surface samples from Mongolia and Siberia were analyzed to provide new calibrations for pollen and biomakers climate models. These calibrations appear to be more powerful than global calibrations, especially in Arid Central Asian context. These calibrations will improve the Monsoon Holocene oscillations understanding.