How predictable are mass extinction events?

Foster, William J; Allen, Bethany J; Kitzmann, Niklas H; Münchmeyer, Jannes; Rettelbach, Tabea; Witts, James D; Whittle, Rowan J; Larina, Ekaterina; Clapham, Matthew E; Dunhill, Alexander M

Foster, William J; Allen, Bethany J; Kitzmann, Niklas H; Münchmeyer, Jannes; Rettelbach, Tabea; Witts, James D; Whittle, Rowan J; Larina, Ekaterina; Clapham, Matthew E; Dunhill, Alexander M.

Afiliación

Foster WJ; Institute for Geology, University of Hamburg, Hamburg, Germany.
Allen BJ; School of Earth and Environment, University of Leeds, Leeds, UK.
Kitzmann NH; Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.
Münchmeyer J; Computational Evolution Group, Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Rettelbach T; Potsdam Institute for Climate Impact Research (PIK)-Member of the Leibniz Association, Potsdam, Germany.
Witts JD; Institute of Physics and Astronomy, University of Potsdam, Potsdam, Germany.
Whittle RJ; GFZ German Research Centre for Geoscience, Potsdam, Germany.
Larina E; Department of Computer Science, Humboldt-Universität zu Berlin, Berlin, Germany.
Clapham ME; Institute of Physics and Astronomy, University of Potsdam, Potsdam, Germany.
Dunhill AM; Institute of Geosciences, University of Potsdam, Potsdam, Germany.

R Soc Open Sci ; 10(3): 221507, 2023 Mar.

Article en En | MEDLINE | ID: mdl-36938535

Palabras clave

end-Cretaceous; end-Permian; end-Triassic; fossil; machine learning; mass extinction

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: R Soc Open Sci Año: 2023 Tipo del documento: Article País de afiliación: Alemania

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google