nerc.ac.uk

A reassessment of late glacial-Holocene diatom oxygen isotope record from Lake Baikal using a geochemical mass-balance approach

Mackay, Anson W.; Swann, George E.A.; Brewer, Tim S.; Leng, Melanie J. ORCID: https://orcid.org/0000-0003-1115-5166; Morley, David W.; Piotrowska, Natalia; Rioual, Patrick; White, Dustin. 2011 A reassessment of late glacial-Holocene diatom oxygen isotope record from Lake Baikal using a geochemical mass-balance approach. Journal of Quaternary Science, 26 (6). 627-634. https://doi.org/10.1002/jqs.1484

Full text not available from this repository. (Request a copy)

Abstract/Summary

We present a new palaeoenvironmental record of hydrological variability in Lake Baikal, based on re-modelled δ18Odiatom values of diatom silica (δ18Omodelled), where the residual contaminants are identified and compensated for using electron optical imaging and whole-sample geochemistry. δ18Omodelled interpretations are based on the balance between rivers with high δ18O values and rivers with low δ18O values. Isotopic variability is related to latitudinal differences in precipitation which feed these rivers. The δ18Omodelled record suggests that rather moist conditions prevailed in the Lake Baikal region during the latter stages of the Younger Dryas. Throughout the Holocene, episodes of low δ18Omodelled values are, in general, in good agreement with increases in percentage haematite-stained grains in North Atlantic sediments (indicative of ice-rafted debris events). Rivers with southerly catchments dominate fluvial input especially between c. 3.3 and 2 cal ka BP, concurrent with high precipitation in the Lake Baikal region.

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.1002/jqs.1484
Programmes: BGS Programmes 2010 > NERC Isotope Geoscience Laboratory
ISSN: 0267-8179
Date made live: 26 Sep 2011 14:16 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/15185

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...