Article
Dynamic heterogeneity and life histories
Department of Biology, Stanford University, Stanford, California
Annals of the New York Academy of Sciences (impact factor:
3.15).
07/2010;
1204(1):65 - 72.
DOI:10.1111/j.1749-6632.2010.05519.x
pp.65 - 72
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Citations (0)
- Cited In (2)
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Article: Life historical perspectives on human reproductive aging.
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ABSTRACT: A commentary is offered on the chapters that comprise the section on Theoretical Foundations, emphasizing novel contributions of each. Three additional points are then made. First, while the biology of reproductive aging may be common to all human populations, its actual course can be expected to vary between individuals and between populations depending on ecological conditions and developmental histories. Second, increasing fertility (such as that typical of humans compared with hominoid relatives and imputed ancestral species) decreases the opportunity and impact of contributions from ascendant relatives and increases the opportunity and impact of contributions from collateral and descendent relatives in promoting the fitness of a focal individual. Finally, an argument is made that the major change in human life history physiology in the Pleistocene has been the extension of adult lifespan, not any change in ovarian physiology or rate of reproductive senescence, and that extended lifespan created a selection pressure for the emergence of indirect reproductive effort among postreproductive individuals, not the reverse.Annals of the New York Academy of Sciences 08/2010; 1204:11-20. · 3.15 Impact Factor -
Article: Beyond R0: demographic models for variability of lifetime reproductive output.
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ABSTRACT: The net reproductive rate R0 measures the expected lifetime reproductive output of an individual, and plays an important role in demography, ecology, evolution, and epidemiology. Well-established methods exist to calculate it from age- or stage-classified demographic data. As an expectation, R0 provides no information on variability; empirical measurements of lifetime reproduction universally show high levels of variability, and often positive skewness among individuals. This is often interpreted as evidence of heterogeneity, and thus of an opportunity for natural selection. However, variability provides evidence of heterogeneity only if it exceeds the level of variability to be expected in a cohort of identical individuals all experiencing the same vital rates. Such comparisons require a way to calculate the statistics of lifetime reproduction from demographic data. Here, a new approach is presented, using the theory of Markov chains with rewards, obtaining all the moments of the distribution of lifetime reproduction. The approach applies to age- or stage-classified models, to constant, periodic, or stochastic environments, and to any kind of reproductive schedule. As examples, I analyze data from six empirical studies, of a variety of animal and plant taxa (nematodes, polychaetes, humans, and several species of perennial plants).PLoS ONE 01/2011; 6(6):e20809. · 4.09 Impact Factor
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Keywords
animal population
Biodemography
define stages
dynamic heterogeneity
empirical example
fitness components
fitness differences
fitness-related components
humans
individual characteristics
life course
life course theory
longitudinal data
multistate capture-mark-recapture models
persistent differences
Phenotypic change
phenotypic character
recent work
reproductive success
stage-structured model