Biogeographic dynamics of graptolites during the Late Ordovician Mass Extinction in South China

Studying the temporal and spatial distributions and dynamics of fossils is crucial for understanding macroevolution processes in geological history. Biodiversity data provide an overview of faunal changes during extinction events, but it cannot differentiate the impact of extinction events on different species. Biogeographic study complements these data by offering more detailed insights into evolutionary patterns. A dataset of 704 graptolite occurrence records for the Late Ordovician Mass Extinction (LOME) was compiled from 60 localities in South China. The geographic distributions of 26 species across four graptolite biochrons (from late Katian to Hirnantian) were quantitatively reconstructed using ArcGIS. Two types of geographic range indexes, including convex hull areas and maximum distribution distances, were calculated for each species in each time slice. Based on the variations in the geographic ranges, the graptolites can be divided into three types. The geographic ranges of the first type shrank before the extinction, that of the second type expanded before the extinction but shrank during the extinction, and that of the third type expanded during the extinction. The first two types include Diplograptina species; and the third of Neograptina species. The study revealed that the extinction event affected all diplograptid graptolite species, as evidenced by the rate of decrease in geographic ranges. Interestingly, the impact of the major extinction appeared to be uniform across all graptolite species, irrespective of their initial geographic range size. The distribution centers of the graptolite species remained relatively stable and predominantly surrounded the center of the sea during the LOME. The substantial reduction in the geographic ranges of diplograptid species might be due to the global factors rather than local sea level decline. (c) 2024 Elsevier B.V. and Nanjing Institute of Geology and Palaeontology, CAS. All rights are reserved, including those for text and data mining, AI training, and similar technologies.