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The Early Evolution of Modern Marine Ecosystems: Post-Permian Radiation by Dr William Foster (UCD) – Sept. 16th at 6pm on Zoom.

September 166:00 pm - 7:00 pm

Title: The Early Evolution of Modern Marine Ecosystems: Post-Permian Radiation
 
By: Dr William Foster (UCD)
 
Date and Time:  16 September 2020 between 18:00 and 19:00  [See forthcoming Zoom link to access]
Please note earlier time! To get the Zoom link on the day, please register to irishgeologicalassociation@gmail.com.

Abstract

Events at the close of the Permian Period led to the most severe mass extinction of the Phanerozoic. The ‘Paleozoic Fauna’ suffered most; the surviving groups, more ‘modern’ in aspect, were those that would seed the post-Permian radiation. This radiation has long been identified as a ‘delayed’ radiation, being apparently of longer duration than other post-extinction radiations, and there are three main hypotheses to explain the delayed radiation. Groups that radiated into vacant or largely vacated ecospace include the bivalves, which outcompeted brachiopods to dominate benthic habitats; the Scleractinia which replaced the Paleozoic reef-building metazoans; and the reptiles that became top marine predators. Other groups that survived, including those that suffered evolutionary bottlenecks, and re-radiated in the Triassic show major reorganizations in the dominant clades and morphological disparity. 

Bio

William is currently an assistant professor of paleobiology at the University College Dublin, but at the end of the year he will be moving to the University of Hamburg where he will be building a new research group funded by the German Research Foundation.

He has also previously held postdoc positions at the Museum of Natural History in Berlin, University of Texas at Austin, the Natural History Museum, London, and Nagoya University in Japan.

His research focuses on the causes and consequences of mass extinctions on the evolution of life, with a special focus on the end-Permian mass extinction. Principally, he focuses on paleontological methods, but actively utilises ‘big data’, machine learning algorithms, and statistics in his research – whilst also collaborating with other disciplines such as geochemistry and sedimentology.

Details

Date:
September 16
Time:
6:00 pm - 7:00 pm