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Age effects in the extinction of Planktonic Foraminifera: A new look at Van Valen's Red Queen hypothesis

机译:浮游有孔虫灭绝中的年龄效应:范瓦伦的红色女王假说的新发现

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摘要

Van Valen's Red Queen hypothesis states that within a homogeneous taxonomic group the age is statistically independent of the rate of extinction. The case of the Red Queen hypothesis being addressed here is when the homogeneous taxonomic group is a group of similar species. Since Van Valen's work, various statistical approaches have been used to address the relationship between taxon duration (age) and the rate of extinction. Some of the more recent approaches to this problem using Planktonic Foraminifera (Foram) extinction data include Weibull and Exponential modeling (Parker and Arnold, 1997), and Cox proportional hazards modeling (Doran et al. 2004, 2006). I propose a general class of test statistics that can be used to test for the effect of age on extinction. These test statistics allow for a varying background rate of extinction and attempt to remove the effects of other covariates when assessing the effect of age on extinction. No model is assumed for the covariate effects. Instead I control for covariate effects by pairing or grouping together similar species. I use simulated data sets to compare the power of the statistics. In applying the test statistics to the Foram data, I have found age to have a positive effect on extinction.
机译:范·瓦伦(Van Valen)的红色女王假说指出,在同质分类组中,年龄在统计上与灭绝速度无关。当同质分类群是一组相似物种时,这里要解决的红色女王假说的情况。自范瓦伦(Van Valen)开展工作以来,已使用各种统计方法来解决分类群持续时间(年龄)与灭绝速度之间的关系。使用浮游有孔虫灭绝数据解决此问题的一些最新方法包括Weibull和指数模型(Parker和Arnold,1997)和Cox比例风险模型(Doran等,2004,2006)。我提出了一个通用的测试统计数据类别,可用于测试年龄对灭绝的影响。这些测试统计数据允许不同的灭绝背景发生率,并在评估年龄对灭绝的影响时试图消除其他协变量的影响。假设没有模型用于协变量效应。相反,我通过配对或分组相似物种来控制协变量效应。我使用模拟数据集来比较统计数据的功能。在将测试统计数据应用于Foram数据时,我发现年龄对灭绝有积极影响。

著录项

  • 作者

    Wiltshire, Jelani.;

  • 作者单位

    The Florida State University.;

  • 授予单位 The Florida State University.;
  • 学科 Statistics.;Paleontology.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 88 p.
  • 总页数 88
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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