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 strongly supports the use of IFA to reconstruct climate variability. IFA statistics (both mean and standard deviation) of Mg/Ca and δ 18O between the different sites show a strong relationship indicating that both proxies are influenced by a common factor, most likely temperature variations during calcification. Mean values for the different species of Mg/Ca versus calculated δ 18O temperatures agree with published calibration equations. dutertrei) from the Indo‐Pacific Warm Pool and one species ( G. We used three species of planktic foraminifera ( Globigerinoides ruber (s.s.), T. We performed Mg/Ca and δ 18O measurements on single specimens from core top sediments from different settings to better understand the signal recorded by individual foraminifera. However, quantitative calibrations between the statistics of individual foraminifera analyses (IFA) and climate variability are still missing. Analysis of single specimens of foraminifera allows reconstructing climate variability on timescales related to El Niño–Southern Oscillation or seasonality. Traditionally, foraminifera‐based proxies like δ 18O and Mg/Ca are analyzed on pooled specimens of a single species. Foraminifera are commonly used in paleoclimate reconstructions as they occur throughout the world's oceans and are often abundantly preserved in the sediments.
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