Bonsor Joseph A, Barrett Paul M, Raven Thomas J, Cooper Natalie
Department of Earth Sciences, Natural History Museum, Cromwell Road, London SW7 5BD, UK.
Department of Biology and Biochemistry, University of Bath, Claverton Down, Bath BA2 7AY, UK.
R Soc Open Sci. 2020 Nov 18;7(11):201195. doi: 10.1098/rsos.201195. eCollection 2020 Nov.
Determining the tempo and mode of non-avian dinosaur extinction is one of the most contentious issues in palaeobiology. Extensive disagreements remain over whether their extinction was catastrophic and geologically instantaneous or the culmination of long-term evolutionary trends. These conflicts have arisen due to numerous hierarchical sampling biases in the fossil record and differences in analytical methodology, with some studies identifying long-term declines in dinosaur richness prior to the Cretaceous-Palaeogene (K-Pg) boundary and others proposing continued diversification. Here, we use Bayesian phylogenetic generalized linear mixed models to assess the fit of 12 dinosaur phylogenies to three speciation models (null, slowdown to asymptote, downturn). We do not find strong support for the downturn model in our analyses, which suggests that dinosaur speciation rates were not in terminal decline prior to the K-Pg boundary and that the clade was still capable of generating new taxa. Nevertheless, we advocate caution in interpreting the results of such models, as they may not accurately reflect the complexities of the underlying data. Indeed, current phylogenetic methods may not provide the best test for hypotheses of dinosaur extinction; the collection of more dinosaur occurrence data will be essential to test these ideas further.
确定非鸟类恐龙灭绝的节奏和方式是古生物学中最具争议性的问题之一。关于它们的灭绝是灾难性的且在地质上是瞬间发生的,还是长期进化趋势的 culmination,仍然存在广泛的分歧。这些冲突的产生是由于化石记录中存在众多层次抽样偏差以及分析方法的差异,一些研究确定在白垩纪 - 古近纪(K - Pg)界线之前恐龙丰富度存在长期下降,而另一些研究则提出持续的多样化。在这里,我们使用贝叶斯系统发育广义线性混合模型来评估 12 种恐龙系统发育对三种物种形成模型(零模型、减缓至渐近线模型、下降模型)的拟合情况。我们在分析中没有找到对下降模型的有力支持,这表明在 K - Pg 界线之前恐龙物种形成速率并非处于末期下降状态,并且该类群仍然能够产生新的分类单元。然而,我们主张在解释此类模型的结果时要谨慎,因为它们可能无法准确反映基础数据的复杂性。实际上,当前的系统发育方法可能无法为恐龙灭绝假说提供最佳检验;收集更多恐龙出现数据对于进一步检验这些观点至关重要。