Literature DB >> 27022071

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

Rebecca Sear1, David W Lawson2, Hillard Kaplan3, Mary K Shenk4.   

Abstract

Decades of research on human fertility has presented a clear picture of how fertility varies, including its dramatic decline over the last two centuries in most parts of the world. Why fertility varies, both between and within populations, is not nearly so well understood. Fertility is a complex phenomenon, partly physiologically and partly behaviourally determined, thus an interdisciplinary approach is required to understand it. Evolutionary demographers have focused on human fertility since the 1980s. The first wave of evolutionary demographic research made major theoretical and empirical advances, investigating variation in fertility primarily in terms of fitness maximization. Research focused particularly on variation within high-fertility populations and small-scale subsistence societies and also yielded a number of hypotheses for why fitness maximization seems to break down as fertility declines during the demographic transition. A second wave of evolutionary demography research on fertility is now underway, paying much more attention to the cultural and psychological mechanisms underpinning fertility. It is also engaging with the complex, multi-causal nature of fertility variation, and with understanding fertility in complex modern and transitioning societies. Here, we summarize the history of evolutionary demographic work on human fertility, describe the current state of the field, and suggest future directions.
© 2016 The Author(s).

Entities:  

Keywords:  evolutionary anthropology; evolutionary demography; fertility

Mesh:

Year:  2016        PMID: 27022071      PMCID: PMC4822424          DOI: 10.1098/rstb.2015.0144

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


  74 in total

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Review 2.  Towards a unified science of cultural evolution.

Authors:  Alex Mesoudi; Andrew Whiten; Kevin N Laland
Journal:  Behav Brain Sci       Date:  2006-08       Impact factor: 12.579

3.  Social networks and changes in contraceptive use over time: evidence from a longitudinal study in rural Kenya.

Authors:  Jere R Behrman; Hans-Peter Kohler; Susan Cotts Watkins
Journal:  Demography       Date:  2002-11

Review 4.  Parental investment and the optimization of human family size.

Authors:  David W Lawson; Ruth Mace
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-02-12       Impact factor: 6.237

5.  Grandmothering, menopause, and the evolution of human life histories.

Authors:  K Hawkes; J F O'Connell; N G Jones; H Alvarez; E L Charnov
Journal:  Proc Natl Acad Sci U S A       Date:  1998-02-03       Impact factor: 11.205

6.  Biodemography Comes of Age.

Authors:  Kenneth W Wachter
Journal:  Demogr Res       Date:  2008-08-26

Review 7.  Women's education and fertility: results from 26 Demographic and Health Surveys.

Authors:  T Castro Martín
Journal:  Stud Fam Plann       Date:  1995 Jul-Aug

8.  The life-history trade-off between fertility and child survival.

Authors:  David W Lawson; Alexandra Alvergne; Mhairi A Gibson
Journal:  Proc Biol Sci       Date:  2012-10-03       Impact factor: 5.349

9.  Fertility in Advanced Societies: A Review of Research: La fécondité dans les sociétés avancées: un examen des recherches.

Authors:  Nicoletta Balbo; Francesco C Billari; Melinda Mills
Journal:  Eur J Popul       Date:  2012-09-12

10.  The case of Moulay Ismael--fact or fancy?

Authors:  Elisabeth Oberzaucher; Karl Grammer
Journal:  PLoS One       Date:  2014-02-14       Impact factor: 3.240

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  14 in total

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Journal:  Hum Nat       Date:  2016-12

2.  Financial opportunity costs and deaths among close kin are independently associated with reproductive timing in a contemporary high-income society.

Authors:  V Berg; D W Lawson; A Rotkirch
Journal:  Proc Biol Sci       Date:  2020-01-22       Impact factor: 5.349

3.  Evoked and transmitted culture models: Using bayesian methods to infer the evolution of cultural traits in history.

Authors:  Alexandre Hyafil; Nicolas Baumard
Journal:  PLoS One       Date:  2022-04-07       Impact factor: 3.240

4.  Life-history tradeoffs in a historical population (1896-1939) undergoing rapid fertility decline: Costs of reproduction?

Authors:  Adrian V Jaeggi; Jordan S Martin; Joël Floris; Nicole Bender; Martin Haeusler; Rebecca Sear; Kaspar Staub
Journal:  Evol Hum Sci       Date:  2022-02-21

5.  Fertility Dynamics and Life History Tactics Vary by Socioeconomic Position in a Transitioning Cohort of Postreproductive Chilean Women.

Authors:  Pablo José Varas Enríquez; Luseadra McKerracher; Nicolás Montalva Rivera
Journal:  Hum Nat       Date:  2022-05-25

6.  Fertility rates in women with intellectual and developmental disabilities in Wisconsin Medicaid.

Authors:  Eric Rubenstein; Deborah B Ehrenthal; Jenna Nobles; David C Mallinson; Lauren Bishop; Marina C Jenkins; Hsiang-Hui Kuo; Maureen S Durkin
Journal:  Disabil Health J       Date:  2022-03-24       Impact factor: 4.615

Review 7.  Machine learning for sperm selection.

Authors:  Jae Bem You; Christopher McCallum; Yihe Wang; Jason Riordon; Reza Nosrati; David Sinton
Journal:  Nat Rev Urol       Date:  2021-05-17       Impact factor: 14.432

8.  Does Parental Investment Shape Adult Children's Fertility Intentions? Findings From a German Family Panel.

Authors:  Antti O Tanskanen; Mirkka Danielsbacka
Journal:  Front Sociol       Date:  2021-06-18

9.  Extrinsic and Existential Mortality Risk in Reproductive Decision-Making: Examining the Effects of COVID-19 Experience and Climate Change Beliefs.

Authors:  David S Gordon
Journal:  Front Psychol       Date:  2021-06-11

10.  The Reproductive Ecology of Industrial Societies, Part II : The Association between Wealth and Fertility.

Authors:  Gert Stulp; Rebecca Sear; Susan B Schaffnit; Melinda C Mills; Louise Barrett
Journal:  Hum Nat       Date:  2016-12
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