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A new quantitative method for the taxonomic identification of tetrapods.

机译:一种新的定量鉴定四足动物的定量方法。

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摘要

The rarity of good fossil samples throughout geologic time frequently makes fossil identification difficult. This dissertation presents a new, multivariate, statistically validated method to identify tetrapods based on quantification of the shapes of microstructural features in cortical bone of the postcranial skeleton. The ultimate goal is to reduce the reliance on rare, near-complete fossil skeletons. The method is validated on a set of 15,745 mammalian microstructural features from eleven diverse species. An additional set of 21,122 microstructural features from one species serve to examine microstructural variation within a single skeleton. Microstructural measurements were made on thin-sections using optical microscopy.;Initial tests of the method were applied to extant mammalians whose taxonomic affinities were known. Three case studies comparing (1) the left tibiae from 11 mammals, (2) the mid-body of each left rib in Odocoileus virginianus, and (3) five cross-sections from left rib seven of O. virginianus represented tests of inter-taxonomic, intra-skeletal, and intra-bone microstructural variation, respectively. Principal Component Analysis of measurements on the tibiae of 11 mammals was successful in discerning a taxonomic signal in the shape and size characteristics of primary vasculature, secondary osteons, Haversian canals, primary lacunae, and secondary lacunae. No single microstructure or measurement is sufficient to account for taxonomic variation. Rather, size, shape, and orientation of various microstructural features, in combination, define and distinguish the taxa. Soft Independent Modeling of Class Analogy properly reassigned test samples from several taxa. In contrast with the results from the multi-species set, analysis of the intra-skeletal and intrabone case studies revealed no pattern of microstructural variation. The data suggest that the microstructural variation within a skeleton is small compared to variation between taxa and that intra-skeleton variation will not affect the overall taxonomic designation. All principal component analyses were tested and found to be significant at the 95% confidence level using Multiple Discriminant Analysis.;This work establishes a methodology for using bone microstructural features as a means for reconstructing taxonomic identity and supports continued research on this methodology, with the goal of applying it to rare fossil specimens in order to enable a next-generation approach to paleoecological analysis.
机译:在整个地质时间内稀有好的化石样品经常使化石鉴定变得困难。本文提出了一种新的,经统计学验证的,基于颅后骨骼皮质骨微结构特征形状的定量识别四足动物的方法。最终目标是减少对稀有,近乎完整的化石骨架的依赖。该方法在来自11个不同物种的15745种哺乳动物微结构特征中得到验证。来自一个物种的另外21,122个微结构特征集用于检查单个骨架内的微结构变化。使用光学显微镜在薄片上进行微观结构测量。该方法的初始测试应用于已知其分类学亲和力的现存哺乳动物。三个案例研究比较了(1)11种哺乳动物的左胫骨,(2)维吉尼亚Odocoileus每个左肋的中体,以及(3)维吉尼亚O.coginianus左肋七个的五个横断面代表了分类学,骨骼内和骨骼内的微结构变异。对11种哺乳动物的胫骨进行测量的主成分分析成功地识别了主要脉管系统,次要骨质,哈弗斯管,主要腔室和继发腔室的形状和大小特征的分类信号。没有单一的微观结构或测量足以说明分类学差异。相反,各种微结构特征的大小,形状和方向相结合,可以定义和区分类群。类比的软独立建模可以从几个分类单元中正确分配测试样本。与来自多种物种的结果相反,对骨骼内和骨骼内案例研究的分析表明,没有微结构变化的模式。数据表明,与分类单元之间的变异相比,骨架内的微观结构变异较小,而骨架内部的变异不会影响总体分类标准。使用多重判别分析对所有主成分分析进行了测试,发现在95%置信度水平上具有重要意义;这项工作建立了使用骨微结构特征作为重建分类学身份的方法的方法,并支持对该方法的继续研究。目标是将其应用于稀有化石标本,以便实现下一代古生态分析方法。

著录项

  • 作者

    Kuster, Stephanie Novak.;

  • 作者单位

    Washington University in St. Louis.;

  • 授予单位 Washington University in St. Louis.;
  • 学科 Biology Anatomy.;Biology Zoology.;Paleontology.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 334 p.
  • 总页数 334
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:38:25

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