Published January 1, 2025 | Version v1
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Oldest hippopotamus record<i> (Hippopotamus</i><i> antiquus)</i> from Anatolia (Datca Peninsula, Southwest Turkiye)

  • 1. Neuthausen 19, D-72172 Sulz Am Neckar, Germany

Description

Taxonomy and chronology of the Eurasian fossil hippopotamuses have been under debate, particularly regarding fossil records from Southwest and Central Europe. The genus Hippopotamus is recognized as a highly successful group that, during the Pleistocene, expanded its range from Western Europe through Anatolia, encompassing the entire Middle East and the eastern and northern shores of Africa, being designated as the "Hippo event". However, despite this extensive expansion, detailed analysis of paleontological records from these regions reveals that Anatolia, which served as a suitable land bridge between Europe, Asia, and Africa, contains a relatively limited number of Hippopotamus records. Therefore, the scarcity of records in Anatolia presents a paradox in paleobiogeographic studies. This research is the first paleontological study in Turkiye to describe a Hippopotamus antiquus specimen from the lower Pleistocene, providing new insights into the taxonomy, systematics, and biogeography of Anatolian hippos. The specimen described here was discovered in the Resadiye, Datca region (Southwest Anatolia) during the early 1980s. The specimen exhibits definitive diagnostic characteristics of H. antiquus, representing the first and earliest record of this species in Anatolia. The temporal and spatial correlations of the Datc,a specimens with contemporaneous taxa from Europe, Africa, and other parts of Anatolia (e.g., Burdur-Kocak & imath;r-2, Karain Cave, Konya-Dursunlu) highlight the geographical and chronological continuity of European hippos during the Quaternary. This study provides new data and insights into the evolution and dispersal patterns of these large semi-aquatic mammals. (c) 2025 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.

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