Development and Testing of a Global Data Base of Planktonic Foraminifera for Estimating Past Environmental Variability

该基金支持合并、重组和扩展几个不同的浮游有孔虫丰度数据集（及其相关的环境数据）的研究，这些数据集来自世界各地的岩心顶部沉积物和沉积物陷阱样本。pi的长期目标有以下几个方面：(1)生产一套全球的、分类上一致的有孔虫组合样品（包括现代沉积物和沉积圈闭衍生的样品），这些样品代表了现代海洋中所有的环境和保存条件；(2)建立有孔虫丰度和保存状态数据库，扩展沉积物和沉积物圈闭的相关水文数据；(3)利用数据库对现有的古环境评价方法进行评价和开发新的古环境评价方法；(4)检验基于沉积物的环境评价对沉积后蚀变和生产季节性的敏感性；(5)评价基于沉积物的海温估算的准确性和精密度。指数将从以下几个方面检验环境估计的准确性和精度：1)通过对不同数据子集的环境估计进行评估；2)通过对不同估算技术的评估；3)将沉积导出的环境方程应用于有孔虫组合的沉积物圈闭收集。有孔虫收集将在布朗大学（岩心顶部样本）和伍兹霍尔海洋研究所（沉积物陷阱样本）创建。该数值数据库将通过国家地球物理数据中心（NGDC）提供给古气候学、古海洋学和古生物学研究界。这项研究很重要，因为它是科学驱动的数据和信息管理，旨在为全球变化研究建立一个全球古气候气候基础。

This grant supports research to merge, reorganize, and expand several disparate planktonic foraminiferal abundance data sets (and their associated environmental data) that have been derived from core-top sediment and sediment trap samples from around the world. The long-term goals of the PIs are several fold: (1) to produce a global, taxonomically consistent set of foraminiferal assemblage samples (both the modern sediment and sediment-trap derived) that represent the full range of environmental and preservation conditions in the modern ocean: (2) to produce a data base of foraminiferal abundances, preservation states, and expand the related hydrographic data for both sediments and sediment traps; (3) to use the data base to evaluate existing and develop new methods of paleoenvironmental estimation; (4) to test the sensitivity for sediment-based environmental estimates to post-depositional alteration and seasonality of production; and (5) to evaluate the accuracy and precision of sediment-based SST estimates. The PIs will test the accuracy and precision of the environmental estimates in several ways: 1) through the evaluation of environmental estimates made on different subsets of the data; 2) through evaluation of different estimation techniques; and 3) through application of the sediment-derived environmental equations to sediment trap collection of foraminiferal assemblages. The foraminiferal collections will be created at Brown University (core-top samples) and Woods Hole Oceanographic Institution (sediment trap samples). The numerical data base will be made available to the paleoclimatology, paleoceanography and paleobiology research communities through the National Geophysical Data Center (NGDC). This research is important because it is science-driven data and information management directed at the production of a global paleoclimate climate base for global change studies.