Fossil-based analyses of clades' diversification patterns require taxonomic expertise and appropriate methodology
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Fossil-based analyses of clades' diversification patterns require taxonomic expertise and appropriate methodology
GUINOT, G.; Adnet, S.; Cuny, G.; Feichtinger, I.; Shimada, K.; Siversson, M.; Underwood, C. J.; Vullo, R.; Ward, D. J.; Condamine, F. L.
AbstractEstimating deep-time diversification patterns and the establishment of extant biodiversity represent major challenges in macroevolution. Fossil record data provide essential information to address these topics, but their heterogeneous temporal and geographical distributions require using analytical approaches to process these data. Gardiner et al.(1) (hereafter GEA) used a deep-learning model (2) and a fossil-occurrences dataset (3) to estimate neoselachian richness over the last 145 Myrs.