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Scanning the fossil record: stratophenomics and the generation of primary evolutionary-ecological data

机译:扫描化石记录:平流层学和主要进化生态学数据的产生

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摘要

The amount and quality of paleontological data is rapidly increasing thanks to the new developments in geological dating, 3D visualization and morphometrics, chemical and histological analysis, and database storage. However, despite the fact that data from fossils, their assemblages, temporal successions, spatial gradients and environments are of an evolutionary-ecological nature, their contribution to current mainstream evolutionary-ecological theory and methodology is low. The use of fossils is not seldom restricted to calibration (e.g., in phylogenetics), or source for historical speculation after having analyzed modern data first (e.g., in macroecology). Yet, the scale of resolution of many paleontological time series (103–105 years) is highly apt for studying the dynamics of species, the average lifetime of which is in the order of 106–107 years. In order to fully profit from the wealth of data from the rock archive, a large-scale “stratophenomics” approach is needed. The resulting data archives will not only further contribute to an increase in the knowledge of past species, communities and environments, but will also generate more and innovative theory on the mechanisms underlying species and higher taxon dynamics. Examples of new and promising approaches towards generating paleontological data will be presented under the headings of the three major stratophenomics dimensions: time, morphology and environment. Highlighted fields include astrochronology, sclerochronology and 3D morphometrics.
机译:由于地质定年,3D可视化和形态计量学,化学和组织学分析以及数据库存储方面的新发展,古生物学数据的数量和质量正在迅速增加。然而,尽管来自化石,它们的组合,时间演替,空间梯度和环境的数据具有进化生态学的性质,但它们对当前主流进化生态学理论和方法学的贡献却很低。化石的使用不仅仅限于校准(例如,在系统发育中),或者在首先分析了现代数据之后(例如,在宏观生态学中)用于历史推测的来源。然而,许多古生物学时间序列(10 3 –10 5 年)的分辨率规模非常适合研究物种的动力学,其平均寿命为10 6 –10 7 年的顺序。为了充分利用岩石档案中的大量数据,需要一种大规模的“地层学”方法。由此产生的数据档案库,不仅将进一步有助于增加对过去物种,社区和环境的了解,而且还将针对物种潜在的机制和更高的分类动态产生更多创新的理论。将在以下三个主要的地层经济学方法的标题下介绍产生古生物学数据的新方法和有希望的方法的例子:时间,形态和环境。重点领域包括天文年代学,硬化年代学和3D形态计量学。

著录项

  • 来源
    《Evolutionary Ecology》 |2012年第3期|p.449-463|共15页
  • 作者

    Jan A. van Dam;

  • 作者单位
  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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