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Unravelling contamination signals in biogenic silica oxygen isotope composition: the role of major and trace element geochemistry
Author(s) -
Brewer Tim S.,
Leng Melanie J.,
Mackay Anson W.,
Lamb Angela L.,
Tyler Jonathan J.,
Marsh Nicholas G.
Publication year - 2008
Publication title -
journal of quaternary science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.142
H-Index - 94
eISSN - 1099-1417
pISSN - 0267-8179
DOI - 10.1002/jqs.1171
Subject(s) - diatom , contamination , tephra , geology , sediment , environmental chemistry , isotopes of oxygen , biogenic silica , geochemistry , carbonate , paleolimnology , oceanography , mineralogy , volcano , paleontology , ecology , chemistry , organic chemistry , biology
The oxygen isotope composition of diatom silica ( δ 18 O diatom ) provides valuable information for palaeoclimate studies where carbonate proxies are either rare or absent in many lakes and ocean sediments. Unfortunately, mineral and rock fragments found alongside diatoms in most sediments can be problematic as the method used will liberate oxygen from all components within the sediment, producing both high‐frequency noise and low‐frequency excursions that can resemble climate signals. Removal of mineral contamination to date has largely relied upon the combination of chemical leaching and physical separation techniques (e.g. sieving, density). This combination can be inefficient and often significant proportions of contaminants are present in the ‘purified’ diatom sample. Using electron optical imaging and whole‐rock geochemistry on previously ‘purified’ diatom samples, a mass balance approach has been developed whereby the types and proportions of residual contaminants are identified. By integrating this information with measured oxygen isotope ratios of the contaminants, it is then possible to remove contamination effects from the δ 18 O diatom record. Contamination effects relating to carbonates, tephra and silt are modelled for cores from Lake Tilo (Ethiopia) and Lake Baikal (Siberia). In both lakes the new modelled δ 18 O diatom curves show less high‐frequency noise, thus enabling better resolution of low‐frequency climate signals. © Natural Environment Research Council (NERC) copyright 2008. Reproduced with the permission of NERC. Published by John Wiley & Sons Ltd.