Spectral analysis of a Plio-Pleistocene multispecies time series using the Mantel periodogram |
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| Affiliation: | 1. Museum of Natural History, University of Oslo, PO Box 1172, Blindern, Oslo 0318, Norway;2. Department of Geosciences, University of Oslo, PO Box 1047, Blindern, Oslo 0316, Norway;3. Department of Arctic Geology, University Centre in Svalbard, PO Box 156, Longyearbyen 9171, Norway;1. Physics of Geological Processes (PGP), University of Oslo, PO Box 1048 Blindern, 0316 Oslo, Norway;2. School of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK;3. Centre for Earth Evolution and Dynamics (CEED), University of Oslo, Norway;4. Institute of Geology of Ore Deposits, Petrography, Mineralogy and Geochemistry, Russian Academy of Sciences, 119017 Moscow, Russia;1. Institute of Geology, Komi Science Center, Ural Branch of the Russian Academy of Sciences, ul. Pervomaiskaya 54, Syktyvkar, Komi Republic, 167982, Russia;2. Syktyvkar State University, Oktyabr’skii pr. 55, Syktyvkar, Komi Republic, 167001, Russia;1. Université Européenne de Bretagne, Université de Brest, CNRS, UMR 6538 Domaines Océaniques, Institut Universitaire Européen de la Mer, 6 Avenue Le Gorgeu, 29238, Brest Cedex 3, France;2. EPOC, Environnements et Paléoenvironnements Océaniques et Continentaux, UMR5805, UMR-CNRS/INSU, Université Bordeaux 1, Talence Cedex, France;3. Université Européenne de Bretagne, Université de Brest, CNRS, UMR 6538 Domaines Océaniques, Institut Universitaire Européen de la Mer, Place Nicolas Copernic, 29280, Plouzané, France;4. Ifremer, Laboratoire Environnements Sédimentaires, B.P. 70, 29280, Plouzané, France;1. Department of Biological, Geological and Environmental Sciences, University of Bologna, Via Zamboni 67, Bologna, Italy;2. Department of Physics and Earth Science, University of Ferrara, Via Saragat 1, Ferrara, Italy;3. Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Bologna, Via Donato Creti 12, Bologna, Italy |
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| Abstract: | A simple method for the spectral analysis of multispecies microfossil data through time or stratigraphic level is presented. The method is based on the Mantel correlogram, allowing any ecological similarity measure to be used. The method can therefore be applied to binary (presence-absence) data as well as raw or normalized species counts. In contrast with spectral analysis of univariate ordination scores, this approach does not explicitly discard information. The method, referred to as the Mantel periodogram, is exemplified with a data set from the literature, demonstrating several astronomically forced periodicities in microfaunal data from the Plio-Pleistocene. |
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