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Deciphering the Variability in Mg/Ca and Stable Oxygen Isotopes of Individual Foraminifera

Foraminifera are commonly used in paleoclimate reconstructions as they occur throughout the world's oceans and are often abundantly preserved in the sediments. Traditionally, foraminifera‐based proxies like δ(18)O and Mg/Ca are analyzed on pooled specimens of a single species. Analysis of singl...

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Autores principales: Groeneveld, Jeroen, Ho, Sze Ling, Mackensen, Andreas, Mohtadi, Mahyar, Laepple, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6686659/
https://www.ncbi.nlm.nih.gov/pubmed/31423481
http://dx.doi.org/10.1029/2018PA003533
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author Groeneveld, Jeroen
Ho, Sze Ling
Mackensen, Andreas
Mohtadi, Mahyar
Laepple, Thomas
author_facet Groeneveld, Jeroen
Ho, Sze Ling
Mackensen, Andreas
Mohtadi, Mahyar
Laepple, Thomas
author_sort Groeneveld, Jeroen
collection PubMed
description Foraminifera are commonly used in paleoclimate reconstructions as they occur throughout the world's oceans and are often abundantly preserved in the sediments. Traditionally, foraminifera‐based proxies like δ(18)O and Mg/Ca are analyzed on pooled specimens of a single species. Analysis of single specimens of foraminifera allows reconstructing climate variability on timescales related to El Niño–Southern Oscillation or seasonality. However, quantitative calibrations between the statistics of individual foraminifera analyses (IFA) and climate variability are still missing. We performed Mg/Ca and δ(18)O measurements on single specimens from core top sediments from different settings to better understand the signal recorded by individual foraminifera. We used three species of planktic foraminifera (Globigerinoidesruber (s.s.), T. sacculifer, and N. dutertrei) from the Indo‐Pacific Warm Pool and one species (G. ruber (pink)) from the Gulf of Mexico. Mean values for the different species of Mg/Ca versus calculated δ(18)O temperatures agree with published calibration equations. IFA statistics (both mean and standard deviation) of Mg/Ca and δ(18)O between the different sites show a strong relationship indicating that both proxies are influenced by a common factor, most likely temperature variations during calcification. This strongly supports the use of IFA to reconstruct climate variability. However, our combined IFA data for the different species only show a weak relationship to seasonal and interannual temperature changes, especially when seasonal variability increases at a location. This suggests that the season and depth habitat of the foraminifera strongly affect IFA variability, such that ecology needs to be considered when reconstructing past climate variability.
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spelling pubmed-66866592019-08-14 Deciphering the Variability in Mg/Ca and Stable Oxygen Isotopes of Individual Foraminifera Groeneveld, Jeroen Ho, Sze Ling Mackensen, Andreas Mohtadi, Mahyar Laepple, Thomas Paleoceanogr Paleoclimatol Research Articles Foraminifera are commonly used in paleoclimate reconstructions as they occur throughout the world's oceans and are often abundantly preserved in the sediments. Traditionally, foraminifera‐based proxies like δ(18)O and Mg/Ca are analyzed on pooled specimens of a single species. Analysis of single specimens of foraminifera allows reconstructing climate variability on timescales related to El Niño–Southern Oscillation or seasonality. However, quantitative calibrations between the statistics of individual foraminifera analyses (IFA) and climate variability are still missing. We performed Mg/Ca and δ(18)O measurements on single specimens from core top sediments from different settings to better understand the signal recorded by individual foraminifera. We used three species of planktic foraminifera (Globigerinoidesruber (s.s.), T. sacculifer, and N. dutertrei) from the Indo‐Pacific Warm Pool and one species (G. ruber (pink)) from the Gulf of Mexico. Mean values for the different species of Mg/Ca versus calculated δ(18)O temperatures agree with published calibration equations. IFA statistics (both mean and standard deviation) of Mg/Ca and δ(18)O between the different sites show a strong relationship indicating that both proxies are influenced by a common factor, most likely temperature variations during calcification. This strongly supports the use of IFA to reconstruct climate variability. However, our combined IFA data for the different species only show a weak relationship to seasonal and interannual temperature changes, especially when seasonal variability increases at a location. This suggests that the season and depth habitat of the foraminifera strongly affect IFA variability, such that ecology needs to be considered when reconstructing past climate variability. John Wiley and Sons Inc. 2019-05-11 2019-05 /pmc/articles/PMC6686659/ /pubmed/31423481 http://dx.doi.org/10.1029/2018PA003533 Text en ©2019. The Authors. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Groeneveld, Jeroen
Ho, Sze Ling
Mackensen, Andreas
Mohtadi, Mahyar
Laepple, Thomas
Deciphering the Variability in Mg/Ca and Stable Oxygen Isotopes of Individual Foraminifera
title Deciphering the Variability in Mg/Ca and Stable Oxygen Isotopes of Individual Foraminifera
title_full Deciphering the Variability in Mg/Ca and Stable Oxygen Isotopes of Individual Foraminifera
title_fullStr Deciphering the Variability in Mg/Ca and Stable Oxygen Isotopes of Individual Foraminifera
title_full_unstemmed Deciphering the Variability in Mg/Ca and Stable Oxygen Isotopes of Individual Foraminifera
title_short Deciphering the Variability in Mg/Ca and Stable Oxygen Isotopes of Individual Foraminifera
title_sort deciphering the variability in mg/ca and stable oxygen isotopes of individual foraminifera
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6686659/
https://www.ncbi.nlm.nih.gov/pubmed/31423481
http://dx.doi.org/10.1029/2018PA003533
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