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Modeling extinction [[electronic resource] /] / M.E.J. Newman, R.G. Palmer



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Autore: Newman M. E. J (Mark E. J.) Visualizza persona
Titolo: Modeling extinction [[electronic resource] /] / M.E.J. Newman, R.G. Palmer Visualizza cluster
Pubblicazione: Oxford ; ; New York, : Oxford University Press, 2003
Descrizione fisica: 1 online resource (115 p.)
Disciplina: 576.8/4
Soggetto topico: Extinction (Biology) - Statistical methods
Extinction (Biology) - Mathematical models
Soggetto genere / forma: Electronic books.
Altri autori: PalmerRichard G  
Note generali: Previously issued in print: 2003.
Nota di bibliografia: Includes bibliographical references (p. 85-93) and index.
Nota di contenuto: Contents; Preface; CHAPTER 1 Extinction in the Fossil Record; CHAPTER 2 Fitness Landscape Model; CHAPTER 3 Self-Organized Critical Models; CHAPTER 4 Interspecies Connection Models; CHAPTER 5 Environmental Stress Models; CHAPTER 6 Non-Equilibrium Models; CHAPTER 7 Summary; References; Index
Sommario/riassunto: Developed after a meeting at the Santa Fe Institute on extinction modeling, this text comments critically on the various modeling approaches. In the last decade or so, scientists have started to examine a new approach to the patterns of evolution and extinction in the fossil record. This approach may be called 'statistical paleontology,' since it looks at large-scale patterns in the record and attempts to understand and model their average statistical features, rather than their detailed structure. Examples of the patterns these studies examine are the distribution of the sizes of mass extinction events over time, the distribution of species lifetimes, or the apparent increase in the number of species alive over the last half a billion years.
Titolo autorizzato: Modeling extinction  Visualizza cluster
ISBN: 0-19-756200-0
9786610704033
1-280-70403-9
0-19-803614-0
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910453355903321
Lo trovi qui: Univ. Federico II
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Serie: Proceedings volume in the Santa Fe Institute studies in the sciences of complexity.