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Inevitable Aging? : Contributions to Evolutionary-Demographic Theory / by Annette Baudisch
(Demographic Research Monographs, A Series of the Max Planck Institute for Demographic Research. ISSN:21979286)

Publisher (Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
Year 2008
Edition 1st ed. 2008.
Authors *Baudisch, Annette author
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OB00164957 Springer Business and Economics eBooks (電子ブック) 9783540766568

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Material Type E-Book
Media type 機械可読データファイル
Size XXI, 170 p : online resource
Notes Hamilton -- Hamilton’s Indicators of the Force of Selection -- Further Challenges -- Optimization Models -- Optimization Models Based on Size -- An Optimization Model Based on Vitality -- Directions for Research
Honored by the Max Planck Society with the Otto Hahn Medal 2007 for outstanding scientific achievements Aging is inevitable: this is gerontological dogma. And humans do inevitably grow old, which is probably why it seems so unlikely to us that other forms of life could escape aging. Escaping aging is not escaping death. Death is an inherent part of life, and it can strike any time. But the question is whether death necessarily becomes more likely as life proceeds. And it does not. The theoretical results in this monograph indicate that life provides alternative strategies. While some organisms will deteriorate over adult ages, for others mortality appears to fall or remain constant, at least over an extended period of life after reproductive maturity. This is empirically observed especially for species that keep on growing during adult ages. Perhaps the diversity of aging matches the diversity of life. My thesis, the central insight of this monograph, is: to deeply understand why some species age it is necessary to understand why other species do not
HTTP:URL=https://doi.org/10.1007/978-3-540-76656-8
Subjects LCSH:Population—Economic aspects
LCSH:Aging
LCSH:Demography
LCSH:Population
LCSH:Medical sciences
LCSH:Evolution (Biology)
LCSH:Mathematics
FREE:Population Economics
FREE:Ageing
FREE:Population and Demography
FREE:Health Sciences
FREE:Evolutionary Biology
FREE:Applications of Mathematics
Classification LCC:HB849.41
DC23:304.6
ID 8000062970
ISBN 9783540766568

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