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Sr partitioning in the benthic foraminifera Ammonia aomoriensis and Amphistegina lessonii

Accepted version
Peer-reviewed

Type

Article

Change log

Authors

Langer, G 
Sadekov, A 
Thoms, S 
Keul, N 
Nehrke, G 

Abstract

The shallow water benthic foraminifera Ammonia aomoriensis and Amphistegina lessonii were grown at different seawater Sr/Ca and the test Sr/Ca ratio was determined by Laser Ablation - Inductively Coupled Plasma - Mass Spectrometry. A. aomoriensis test Sr/Ca is positively correlated with seawater Sr/Ca. The linear regression has a slope of 0.17, representing the overall Sr partitioning coefficient KDSr. The slope remains unchanged, if seawater Ca concentration is changed in order to change the seawater Sr/Ca. In the case of A. lessonii, the slopes of the linear regressions representing KDSr differ from one another i.e., 0.16 if the Sr concentration is changed and 0.32 if the Ca level is changed. This difference in KDSr can be explained by the, relative to A. aomoriensis, high Mg content of A. lessonii (ca. 40 mmol/mol), distorting the calcite lattice and weakening the discrimination against Sr. The Mg content of A. aomoriensis is too low (ca. 4 mmol/mol) to observe the influence on Sr partitioning. All data are compatible with a recently developed model for minor element partitioning in foraminifera (Nehrke et al., 2013; Mewes et al., 2015a). On the whole, our data confirm the model (applicability of the model to Sr and dependence of the calcite Sr/Ca on seawater Sr/Ca, as opposed to seawater Sr concentration), and improve our understanding of the model (influence of calcite Mg/Ca on Sr partitioning).

Description

Keywords

minor element partitioning, Foraminifera, biomineralization

Journal Title

Chemical Geology

Conference Name

Journal ISSN

0009-2541
1872-6836

Volume Title

440

Publisher

Elsevier BV
Sponsorship
European Research Council (267931)
This work was supported by Natural Environment Research Council (NE/N011708/1). This work was funded (in part) by The European Research Council (ERC grant 2010-NEWLOG ADG-267931 HE).