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  Long-Range Correlations in the Fossil Record and the Fractal Nature of Macroevolution

Solé, R. V., Manrubia, S. C., Pérez-Mercader, J., Benton, M., & Bak, P. (1998). Long-Range Correlations in the Fossil Record and the Fractal Nature of Macroevolution. Advances in complex systems, 1, 255-266. doi:10.1142/S021952599800017X.

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 Creators:
Solé, Richard V.1, Author
Manrubia, Susanna C.2, Author           
Pérez-Mercader, Juan3, Author
Benton, Michael4, Author
Bak, Per5, Author
Affiliations:
1Department of Physics, Universitat Politécnica de Catalunya, Barcelona, Spain, ou_persistent22              
2Physical Chemistry, Fritz Haber Institute, Max Planck Society, ou_634546              
3Laboratorio de Astrofisica Espacial y Fisica Fundamental, INTA Carretera del Ajalvir Km 4, Madraid, Spain, ou_persistent22              
4Department of Earth Sciences University of Bristol, Bristol, UK, ou_persistent22              
5The Bohr Institute, Copenhagen, Denmark, ou_persistent22              

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 Abstract: Recent studies on the fossil record time series has suggested that there is consistent evidence for self-similarity i.e. long-range correlations with power-law behavior. The existence of such fractal strucutes means that, when looking at a given time frame, some basic properties remain the same if a change of scale is performed. In other words, there is no characteristic time scale, as we could expect if some type of periodic or other low-dimensional dynamics were present. A possible explanation for such long-range order is a dynamical process operating at all scales, as it is the case for systems in the neighborhood of critical points. In this paper these results are further explored by extending previous data analysis and examining the relevance of recent theoretical approaches to the statistical features of the fossil record. The presence of long-range correlations is shown through Hurst analysis using non-interpolated data series from the Fossil Record 2 database. As shown in previous studies, such correlations span over hundreds of millions of years and are compared with a simple model of large-scale evolution displaying self-organized criticality.

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Language(s): eng - English
 Dates: 1998
 Publication Status: Issued
 Pages: 12
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1142/S021952599800017X
 Degree: -

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Title: Advances in complex systems
Source Genre: Journal
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Publ. Info: Singapore : World Scientific Pub. Co.
Pages: 12 Volume / Issue: 1 Sequence Number: - Start / End Page: 255 - 266 Identifier: ISSN: 0219-5259
CoNE: https://pure.mpg.de/cone/journals/resource/111006469415258