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024 7 $a10.1007/978-3-540-76656-8
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100   $a20100301d2008      u|             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aInevitable Aging?$b[electronic resource] $eContributions to Evolutionary-Demographic Theory /$fby Annette Baudisch
205   $a1st ed. 2008.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2008.
215   $a1 online resource (187 p.)
225 1 $aDemographic Research Monographs, A Series of the Max Planck Institute for Demographic Research,$x1613-5520
300   $aDescription based upon print version of record.
311   $a3-642-09534-8 
311   $a3-540-76655-3 
320   $aIncludes bibliographical references and index.
327   $aHamilton -- 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.
330   $aHonored by the Max Planck Society with the Otto Hahn Medal 2007 for outstanding scientific achievements Aging is inevitable: this is gerontological dogma. And humans do inevitably grow old, which is probably why it seems so unlikely to us that other forms of life could escape aging. Escaping aging is not escaping death. Death is an inherent part of life, and it can strike any time. But the question is whether death necessarily becomes more likely as life proceeds. And it does not. The theoretical results in this monograph indicate that life provides alternative strategies. While some organisms will deteriorate over adult ages, for others mortality appears to fall or remain constant, at least over an extended period of life after reproductive maturity. This is empirically observed especially for species that keep on growing during adult ages. Perhaps the diversity of aging matches the diversity of life. My thesis, the central insight of this monograph, is: to deeply understand why some species age it is necessary to understand why other species do not.
410  0$aDemographic Research Monographs, A Series of the Max Planck Institute for Demographic Research,$x1613-5520
606   $aPopulation
606   $aAging
606   $aDemography
606   $aMedicine
606   $aEvolutionary biology
606   $aApplied mathematics
606   $aEngineering mathematics
606   $aPopulation Economics$3https://scigraph.springernature.com/ontologies/product-market-codes/W38000
606   $aAging$3https://scigraph.springernature.com/ontologies/product-market-codes/X11000
606   $aDemography$3https://scigraph.springernature.com/ontologies/product-market-codes/X25000
606   $aMedicine/Public Health, general$3https://scigraph.springernature.com/ontologies/product-market-codes/H00007
606   $aEvolutionary Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/L21001
606   $aApplications of Mathematics$3https://scigraph.springernature.com/ontologies/product-market-codes/M13003
615  0$aPopulation.
615  0$aAging.
615  0$aDemography.
615  0$aMedicine.
615  0$aEvolutionary biology.
615  0$aApplied mathematics.
615  0$aEngineering mathematics.
615 14$aPopulation Economics.
615 24$aAging.
615 24$aDemography.
615 24$aMedicine/Public Health, general.
615 24$aEvolutionary Biology.
615 24$aApplications of Mathematics.
676   $a571.878
700   $aBaudisch$b Annette$4aut$4http://id.loc.gov/vocabulary/relators/aut$0948609
906   $aBOOK
912   $a996320675803316
996   $aInevitable Aging$92144244
997   $aUNISA