Reconstruction of sea-surface temperatures from asseblages of planktonic foraminifera

We present a conceptual framework for a new approach to environmental calibration of planktonic foraminifer census counts. This approach is based on simultaneous application of a variety of transfer function techniques, which are trained on geographically constrained calibration data sets. It serves to minimise bias associated with the presence of cryptic species of planktonic foraminifera and provides an objective tool for assessing reliability of environmental estimates in fossil samples, allowing identification of adverse effects of no-analog faunas and technique-specific bias. We have compiled new calibration data sets for the North (N=862) and South (N=321) Atlantic and the Pacific Ocean (N=1111). We show evidence that these data sets offer adequate coverage of the Sea-Surface Temperature (SST) and faunal variation range and that they are not affected by the presence of pre-Holocene samples and/or calcite dissolution. […]

本报告提出了一种针对浮游有孔虫计数环境校准的新概念框架。该框架基于多种转移函数技术的同步应用，这些技术均在地理限制性校准数据集上接受训练。其旨在最小化与浮游有孔虫隐匿物种存在相关的偏差，并提供了一种客观的评估化石样本中环境估计可靠性的工具，从而能够识别无类比群落的负面影响以及特定技术偏差。我们对北大西洋（N=862）、南大西洋（N=321）以及太平洋（N=1111）的新校准数据集进行了汇编。研究表明，这些数据集提供了充分的覆盖范围，涵盖了海面温度（SST）和生物群变化范围，并且不受旧石器时代样本和/或方解石溶解的影响。