Separating the Bruce and Trivers-Willard effects in theory and in human data

Ralph Catalano, Alison Gemmill, Joan Casey, Deborah Karasek, Holly Stewart, Katherine Saxton

Research output: Contribution to journalArticle

Abstract

Objectives: Theories of reproductive suppression predict that natural selection would conserve mechanisms that abort the gestation of offspring otherwise unlikely to thrive in prevailing environments. Research reports evidence among humans of at least two such mechanisms—the Trivers-Willard and Bruce Effects. No literature, however, compares the mechanisms nor estimates their relative contribution to observed characteristics of human birth cohorts. We describe similarities and differences between the Trivers-Willard and Bruce Effects and explore high quality historical data from Sweden to determine which mechanism better describes temporal variation in the ratio of males to females in birth cohorts. Methods: We measure Trivers-Willard exposures with the death rate among women of reproductive age. We measure Bruce exposures with the death rate among children. We use time-series regression methods to estimate the relative contribution of the Trivers-Willard and Bruce Effects to temporal variation in historical Swedish secondary sex ratio data. Results: We find that the Bruce Effect appears to be a better predictor of the secondary sex ratio than does the Trivers-Willard Effect. Conclusions: Attempts to identify mechanisms by which reproductive suppression affects fetal loss and characteristics of human birth cohorts should consider the Bruce Effect as an alternative to the Trivers-Willard Effect.

Original languageEnglish (US)
Article numbere23074
JournalAmerican Journal of Human Biology
Volume30
Issue number2
DOIs
StatePublished - Mar 1 2018
Externally publishedYes

Fingerprint

Sex Ratio
Parturition
temporal variation
sex ratio
Mortality
Genetic Selection
Sweden
death rate
natural selection
suppression
time series analysis
pregnancy
Pregnancy
methodology
effect
time series
regression
evidence
Data Accuracy
rate

ASJC Scopus subject areas

  • Anatomy
  • Ecology, Evolution, Behavior and Systematics
  • Anthropology
  • Genetics

Cite this

Separating the Bruce and Trivers-Willard effects in theory and in human data. / Catalano, Ralph; Gemmill, Alison; Casey, Joan; Karasek, Deborah; Stewart, Holly; Saxton, Katherine.

In: American Journal of Human Biology, Vol. 30, No. 2, e23074, 01.03.2018.

Research output: Contribution to journalArticle

Catalano, Ralph ; Gemmill, Alison ; Casey, Joan ; Karasek, Deborah ; Stewart, Holly ; Saxton, Katherine. / Separating the Bruce and Trivers-Willard effects in theory and in human data. In: American Journal of Human Biology. 2018 ; Vol. 30, No. 2.
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