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多变量测绘本体生理,分类学和分类学,以重建有问题的化石种类
Jane C Reeves1, Robert S Sansom1
1Department of Earth and Environmental Sciences, University of Manchester, Manchester, UK.
Proceedings. Biological sciences
|May 30, 2023
概括
由于生长,衰变和进化关系,解读化石具有挑战性. 一种新的多变量方法有助于区分这些因素,改进了对古代软体生物的分析,并解决了神秘的种类.
科学领域:
- 古生物学的古生物学
- 进化生物学 进化生物学
- 生物数学是生物数学.
背景情况:
- 特别保存的软体生物化石为进化历史提供了关键的见解.
- 重建化石种类及其进化亲属关系往往是有争议的,因为分析形态变异的困难.
- 现有的方法难以解开化石形态学中本体生长 (生长),分词学 (衰变) 和分词学 (进化关系) 的复杂相互作用.
研究的目的:
- 开发和演示一种多变量排序方法,用于分析化石的形态变异.
- 区分本体生理,分词学和分词学对化石形态学的影响.
- 提供一种新的方法来解决神秘的化石种类,特别是非生物矿物化种类.
主要方法:
- 利用一种多变量排序方法,使用来自现代种群的离散形态特征数据.
- 分析了不同本体遗传和语法学阶段的种类 ("半法龙"和"半法龙").
- 同时分析了形态变异的多个轴,以可视化化石中的字符组合.
主要成果:
- 证明了化石变异受本体发生,分谱和分谱的影响.
- 将该方法应用于早期的脊椎动物,显示不同类型的不同主要因素: * Mayomyzon * 中的分词学, * Priscomyzon * 中的本体学和 * Euphaneropoids 和 * Palaeospondylus * 中的分词学.
- 在化石标本中可能存在的可视化特征组合在交叉生长和衰变阶段.
结论:
- 多变量方法有效地限制了对化石标本的解释.
- 化石的实证多因素变化强调了多变量解释方法的力量.
- 这种概念方法提供了一种新的方法来解决化石记录中神秘的种类.
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