Finnegan Seth, Rasmussen Christian M Ø, Harper David A T
Department of Integrative Biology, University of California, Berkeley, CA, USA
Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark.
Biol Lett. 2017 Sep;13(9). doi: 10.1098/rsbl.2017.0400.
Mass extinction events are recognized by increases in extinction rate and magnitude and, often, by changes in the selectivity of extinction. When considering the selective fingerprint of a particular event, not all taxon extinctions are equally informative: some would be expected even under a 'background' selectivity regime, whereas others would not and thus require special explanation. When evaluating possible drivers for the extinction event, the latter group is of particular interest. Here, we introduce a simple method for identifying these most surprising victims of extinction events by training models on background extinction intervals and using these models to make per-taxon assessments of 'expected' risk during the extinction interval. As an example, we examine brachiopod genus extinctions during the Late Ordovician Mass Extinction and show that extinction of genera in the deep-water ' fauna' was particularly unexpected given preceding Late Ordovician extinction patterns.
大规模灭绝事件通过灭绝率和规模的增加以及通常灭绝选择性的变化来识别。在考虑特定事件的选择性特征时,并非所有分类单元的灭绝都具有同等的信息量:即使在“背景”选择性模式下,有些灭绝也是可以预期的,而其他的则不然,因此需要特别解释。在评估灭绝事件可能的驱动因素时,后一组特别令人感兴趣。在这里,我们介绍一种简单的方法,通过在背景灭绝间隔上训练模型,并使用这些模型对灭绝间隔期间的“预期”风险进行逐个分类单元的评估,来识别这些最令人惊讶的灭绝事件受害者。作为一个例子,我们研究了晚奥陶世大规模灭绝期间腕足动物属的灭绝情况,并表明,考虑到晚奥陶世之前的灭绝模式,深水“动物群”中属的灭绝尤其出乎意料。