The vitality model: A way to understand population survival and demographic heterogeneity
Ting Li and
James J. Anderson
Theoretical Population Biology, 2009, vol. 76, issue 2, 118-131
Abstract:
A four-parameter model describing mortality as the first passage of an abstract measure of survival capacity, vitality, is developed and used to explore four classic problems in demography: (1) medfly demographic paradox, (2) effect of diet restriction on longevity, (3) cross-life stage effects on survival curves and (4) mortality plateaus. The model quantifies the sources of mortality in these classical problems into vitality-dependent and independent parts, and characterizes the vitality-dependent part in terms of initial and evolving heterogeneities. Three temporal scales express the balance of these factors: a time scale of death from senescence, a time scale of accidental mortality and a crossover time between evolving vs. initial heterogeneity. The examples demonstrate how the first-passage approach provides a unique and informative perspective into the processes that shape the survival curves of populations.
Keywords: Vitality; Survival curve; Killed Markov process; Mortality plateau; Diet restriction; Truncated survival; Hazard rate; Initial and evolving heterogeneity; Intrinsic and extrinsic mortality (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S004058090900080X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:thpobi:v:76:y:2009:i:2:p:118-131
DOI: 10.1016/j.tpb.2009.05.004
Access Statistics for this article
Theoretical Population Biology is currently edited by Jeremy Van Cleve
More articles in Theoretical Population Biology from Elsevier
Bibliographic data for series maintained by Catherine Liu ().