Cleary Terri J, Benson Roger B J, Evans Susan E, Barrett Paul M
Department of Earth Sciences, Natural History Museum, Cromwell Road, London SW7 5BD, UK.
Department of Cell and Developmental Biology, University College London, Gower Street, London WC1E 6BT, UK.
R Soc Open Sci. 2018 Mar 21;5(3):171830. doi: 10.1098/rsos.171830. eCollection 2018 Mar.
Lepidosauria is a speciose clade with a long evolutionary history, but there have been few attempts to explore its taxon richness through time. Here we estimate patterns of terrestrial lepidosaur genus diversity for the Triassic-Palaeogene (252-23 Ma), and compare observed and sampling-corrected richness curves generated using Shareholder Quorum Subsampling and classical rarefaction. Generalized least-squares regression (GLS) is used to investigate the relationships between richness, sampling and environmental proxies. We found low levels of richness from the Triassic until the Late Cretaceous (except in the Kimmeridgian-Tithonian of Europe). High richness is recovered for the Late Cretaceous of North America, which declined across the K-Pg boundary but remained relatively high throughout the Palaeogene. Richness decreased following the Eocene-Oligocene Grande Coupure in North America and Europe, but remained high in North America and very high in Europe compared to the Late Cretaceous; elsewhere data are lacking. GLS analyses indicate that sampling biases (particularly, the number of fossil collections per interval) are the best explanation for long-term face-value genus richness trends. The lepidosaur fossil record presents many problems when attempting to reconstruct past diversity, with geographical sampling biases being of particular concern, especially in the Southern Hemisphere.
蜥蜴目是一个种类繁多且进化历史悠久的分支,但很少有人尝试探究其分类群丰富度随时间的变化情况。在此,我们估算了三叠纪 - 古近纪(252 - 23百万年前)陆地蜥蜴属的多样性模式,并比较了使用股东法定抽样和经典稀疏法生成的观察到的和经抽样校正的丰富度曲线。广义最小二乘法回归(GLS)用于研究丰富度、抽样和环境代理之间的关系。我们发现,从三叠纪到白垩纪晚期,丰富度水平较低(欧洲的基米里吉阶 - 提通阶除外)。北美白垩纪晚期的丰富度较高,在白垩纪 - 古近纪界线处有所下降,但在整个古近纪期间仍相对较高。在北美和欧洲,始新世 - 渐新世大间断之后丰富度下降,但与白垩纪晚期相比,北美仍较高,欧洲则非常高;其他地区缺乏相关数据。GLS分析表明,抽样偏差(特别是每个时间间隔内的化石采集数量)是长期面值属丰富度趋势的最佳解释。在试图重建过去的多样性时,蜥蜴化石记录存在许多问题,地理抽样偏差尤其令人担忧,特别是在南半球。