Articles | Volume 13, issue 6
https://doi.org/10.5194/cp-13-573-2017
https://doi.org/10.5194/cp-13-573-2017
Research article
 | 
06 Jun 2017
Research article |  | 06 Jun 2017

Quantifying the effect of seasonal and vertical habitat tracking on planktonic foraminifera proxies

Lukas Jonkers and Michal Kučera

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Subject: Proxy Use-Development-Validation | Archive: Marine Archives | Timescale: Pleistocene
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Cited articles

Aurahs, R., Treis, Y., Darling, K., and Kucera, M.: A revised taxonomic and phylogenetic concept for the planktonic foraminifer species Globigerinoides ruber based on molecular and morphometric evidence, Mar. Micropaleontol., 79, 1–14, https://doi.org/10.1016/j.marmicro.2010.12.001, 2011.
Barker, S., Cacho, I., Benway, H., and Tachikawa, K.: Planktonic foraminiferal Mg ∕ Ca as a proxy for past oceanic temperatures: a methodological overview and data compilation for the Last Glacial Maximum, Quaternary Sci. Rev., 24, 821–834, 2005.
Bauch, D., Darling, K., Simstich, J., Bauch, H. A., Erlenkeuser, H., and Kroon, D.: Palaeoceanographic implications of genetic variation in living North Atlantic Neogloboquadrina pachyderma, Nature, 424, 299–302, 2003.
Bé, A. and Hutson, W.: Ecology of planktonic foraminifera and biogeographic patterns of life and fossil assemblages in the Indian Ocean, Micropaleontology, 23, 369–414, 1977.
Bé, A. W. H. and Tolderlund, D. S.: Distribution and ecology of living planktonic foraminifera in surface waters of the Atlantic and Indian Oceans, The Micropaleontology of Oceans.,Cambridge University Press, Cambridge, 105–149, 1971.
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Short summary
Planktonic foraminifera – the most important proxy carriers in palaeoceanography – adjust their seasonal and vertical habitat. They are thought to do so in a way that minimises the change in their environment, implying that proxy records based on these organisms may not capture the full amplitude of past climate change. Here we demonstrate that they indeed track a particular thermal habitat and suggest that this could lead to a 40 % underestimation of reconstructed temperature change.