Image Analysis of Paleogene Calcareous Nannoplankton: Phylogenetic, Biochronologic and Paleoceanographic Applications

古近纪钙质微浮游生物的图像分析：系统发育、生物年代学和古海洋学应用

• 批准号: 9118022
• 负责人: Timothy Bralower
• 金额: $ 5万
• 依托单位: University of North Carolina at Chapel Hill
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-01-01 至 1994-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9118022&HistoricalAwards=false
• 关键词: Image; Analysis; Paleogene; Calcareous; Nannoplankton

An image analysis system attached to a scanning electron microscope will be utilized to obtain morphometric measurements of selected Paleogene calcareous nannoplankton. This technology will open up a new method in studying nannoplankton phylogeny, which has hitherto been hindered by the small size of these fossils. The combination of scanning electron microscopy and image analysis enable detailed measurements of several morphological parameters to be made on a large number of specimens, leading to data set which can be statistically evaluated in terms of phylogenetic trends. The simple shape of nannoplankton lends itself to shape analysis using uncomplicated and unambiguous parameters. The intention of this study is to construct a morphometric/phylogenetic scheme which is largely independent of previous taxonomic complications. Construction of this scheme will allow: 1) Quantitative assessment of the evolutionary mode and tempo of the calcareous nannoplankton through the Paleogene, 2) Correlation of evolutionary trends with paleoceanographic and paleoenvironmental events, and 3) Development of a "morphometric biochronology" in which an age and error bar can be obtained from morphological measurements on a small number of specimens.

连接到扫描电子显微镜的图像分析系统将用于获得选定的古近纪钙质纳米浮游生物的形态测量。 这项技术将为研究超小型浮游生物系统发育开辟一种新方法，迄今为止，该方法一直因这些化石尺寸较小而受到阻碍。 扫描电子显微镜和图像分析的结合可以对大量标本进行多个形态参数的详细测量，从而产生可以根据系统发育趋势进行统计评估的数据集。 微浮游生物的简单形状适合使用简单且明确的参数进行形状分析。 本研究的目的是构建一个形态测量/系统发育方案，该方案在很大程度上独立于以前的分类学并发症。 该计划的构建将允许：1）定量评估古近纪钙质纳米浮游生物的进化模式和节奏，2）进化趋势与古海洋和古环境事件的相关性，以及3）开发“形态生物年代学”，其中可以从少量标本的形态测量中获得年龄和误差条。