Literature DB >> 21199838

Parental investment and the optimization of human family size.

David W Lawson1, Ruth Mace.   

Abstract

Human reproductive behaviour is marked by exceptional variation at the population and individual level. Human behavioural ecologists propose adaptive hypotheses to explain this variation as shifting phenotypic optima in relation to local socioecological niches. Here we review evidence that variation in fertility (offspring number), in both traditional and modern industrialized populations, represents optimization of the life-history trade-off between reproductive rate and parental investment. While a reliance on correlational methods suggests the true costs of sibling resource competition are often poorly estimated, a range of anthropological and demographic studies confirm that parents balance family size against offspring success. Evidence of optimization is less forthcoming. Declines in fertility associated with modernization are particularly difficult to reconcile with adaptive models, because fertility limitation fails to enhance offspring reproductive success. Yet, considering alternative measures, we show that modern low fertility confers many advantages on offspring, which are probably transmitted to future generations. Evidence from populations that have undergone or initiated demographic transition indicate that these rewards to fertility limitation fall selectively on relatively wealthy individuals. The adaptive significance of modern reproductive behaviour remains difficult to evaluate, but may be best understood in response to rising investment costs of rearing socially and economically competitive offspring.

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Year:  2011        PMID: 21199838      PMCID: PMC3013477          DOI: 10.1098/rstb.2010.0297

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  46 in total

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Authors:  Peter T Ellison
Journal:  Am J Hum Biol       Date:  2003 May-Jun       Impact factor: 1.937

2.  The sexual selection continuum.

Authors:  Hanna Kokko; Robert Brooks; John M McNamara; Alasdair I Houston
Journal:  Proc Biol Sci       Date:  2002-07-07       Impact factor: 5.349

3.  Sharing the wealth: the effect of siblings on adults' wealth ownership.

Authors:  Lisa A Keister
Journal:  Demography       Date:  2003-08

4.  Biased parental investment and reproductive success in Gabbra pastoralists.

Authors:  R Mace
Journal:  Behav Ecol Sociobiol       Date:  1996-02       Impact factor: 2.980

5.  Abortion rates reflect the optimization of parental investment strategies.

Authors:  J E Lycett; R I Dunbar
Journal:  Proc Biol Sci       Date:  1999-12-07       Impact factor: 5.349

6.  Life-history theory, fertility and reproductive success in humans.

Authors:  Beverly I Strassmann; Brenda Gillespie
Journal:  Proc Biol Sci       Date:  2002-03-22       Impact factor: 5.349

7.  Parental investment and child health in a Yanomamö village suffering short-term food stress.

Authors:  E H Hagen; R B Hames; N M Craig; M T Lauer; M E Price
Journal:  J Biosoc Sci       Date:  2001-10

8.  Height and risk of death among men and women: aetiological implications of associations with cardiorespiratory disease and cancer mortality.

Authors:  G Davey Smith; C Hart; M Upton; D Hole; C Gillis; G Watt; V Hawthorne
Journal:  J Epidemiol Community Health       Date:  2000-02       Impact factor: 3.710

9.  Optimizing offspring: the quantity-quality tradeoff in agropastoral Kipsigis.

Authors: 
Journal:  Evol Hum Behav       Date:  2000-11       Impact factor: 4.178

10.  Evolutionary approach to below replacement fertility.

Authors:  Hillard Kaplan; Jane B Lancaster; W Troy Tucker; K G Anderson
Journal:  Am J Hum Biol       Date:  2002 Mar-Apr       Impact factor: 1.937

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  36 in total

1.  Perfect genetic correlation between number of offspring and grandoffspring in an industrialized human population.

Authors:  Brendan P Zietsch; Ralf Kuja-Halkola; Hasse Walum; Karin J H Verweij
Journal:  Proc Natl Acad Sci U S A       Date:  2014-01-06       Impact factor: 11.205

2.  Ecological variation in wealth-fertility relationships in Mongolia: the 'central theoretical problem of sociobiology' not a problem after all?

Authors:  Alexandra Alvergne; Virpi Lummaa
Journal:  Proc Biol Sci       Date:  2014-12-07       Impact factor: 5.349

3.  Low fertility increases descendant socioeconomic position but reduces long-term fitness in a modern post-industrial society.

Authors:  Anna Goodman; Ilona Koupil; David W Lawson
Journal:  Proc Biol Sci       Date:  2012-08-29       Impact factor: 5.349

4.  Perceived extrinsic mortality risk and reported effort in looking after health: testing a behavioral ecological prediction.

Authors:  Gillian V Pepper; Daniel Nettle
Journal:  Hum Nat       Date:  2014-09

Review 5.  Give one species the task to come up with a theory that spans them all: what good can come out of that?

Authors:  Hanna Kokko
Journal:  Proc Biol Sci       Date:  2017-11-29       Impact factor: 5.349

Review 6.  Understanding variation in human fertility: what can we learn from evolutionary demography?

Authors:  Rebecca Sear; David W Lawson; Hillard Kaplan; Mary K Shenk
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-04-19       Impact factor: 6.237

Review 7.  What if fertility decline is not permanent? The need for an evolutionarily informed approach to understanding low fertility.

Authors:  Oskar Burger; John P DeLong
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-04-19       Impact factor: 6.237

8.  Genetic evidence for natural selection in humans in the contemporary United States.

Authors:  Jonathan P Beauchamp
Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-11       Impact factor: 11.205

9.  The marginal valuation of fertility.

Authors:  James Holland Jones; Rebecca Bliege Bird
Journal:  Evol Hum Behav       Date:  2014-01-01       Impact factor: 4.178

10.  The effects of resource availability and the demographic transition on the genetic correlation between number of children and grandchildren in humans.

Authors:  E Bolund; V Lummaa
Journal:  Heredity (Edinb)       Date:  2016-09-14       Impact factor: 3.821

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