Faunal distribution patterns of planktonic foraminifers in surface sediments of the low-latitude Pacific

Faunal distribution patterns of planktonic foraminifers in surface sediments of the low-latitude Pacific
复制标题

DOI:
10.1016/s0031-0182(97)00095-3
复制
发表时间:
1998-02
期刊:
Palaeogeography, Palaeoclimatology, Palaeoecology
影响因子:
--
通讯作者:
Min‐Te Chen;W. Prell
Min‐Te Chen;W. Prell
中科院分区:
其他
文献类型:
--
作者:
Min‐Te Chen;W. Prell

文献摘要

被引文献

相似文献

海面温度(SST)动物区系指数已被广泛用于重建过去的海洋变化和验证气候模型的结果。最近对现代浮游有孔虫在表层沉积物上的分布模式的研究表明,它们与许多与上层海洋垂直结构相关的水文变量有重要关系。为了研究这些其他海洋水文变量对动物区系分布格局的变化是否重要,我们编制了两组来自现代低纬度太平洋表层沉积物的核心顶部动物区系数据,以与直接观测的海温和温跃层深度(DOT)进行比较,温跃层深度是描述低纬度上层海洋垂直结构的主要变量。动物群主要成分之间的相关程度由 Q 模式主成分分析、SST、DOT 和碳酸盐保存指数 (CPI) 定义,并使用简单和部分相关分析进行了检查。这项研究表明,DOT 控制对低纬度太平洋浮游有孔虫动物区系分布的影响非常重要,并且根据浮游有孔虫动物区系数据解释上层海洋的 DOT 或其他水文变量将更适合未来的古海洋学应用。
Faunal indices of sea-surface temperature (SST) have been widely used for reconstructing past ocean variability and for verifying the results of climate modeling. Recent studies on the distribution patterns of modern planktonic foraminifers on surface sediments have indicated important relationships with many hydrographic variables associated with the vertical structure of upper-layer oceans. To investigate whether these other ocean hydrographic variables are important to the changes in the faunal distribution pattern, two sets of core-top faunal data from modern low-latitude Pacific surface sediments were compiled to compare with direct observations of SST as well as the depth of thermocline (DOT), a primarily important variable for describing the vertical structure of upper-layer oceans at low latitudes. The degree of correlation between the faunal principal components, defined by a Q-mode principal component analysis, SST, DOT, and a carbonate preservation index (CPI), was examined using simple and partial correlation analyses. This study indicates that the effect of DOT controls on faunal distributions of planktonic foraminifers in the low-latitude Pacific is important and interpreting the DOT or other hydrographic variables of upper-layer oceans from planktonic foraminifer faunal data would be more appropriate in future paleoceanographic applications.